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southeast of Abou De\u00efa, south of Birgit [btf] language area, in and west of Ter.","Rivers state: Ahoada LGA. 1 town.","Madang province: 20 km west of Seure.","Chin State, Matupi township.","Milne Bay province: Trobriand islands.","Bas-Sassandra District, Sassandra, Soubre, and San Pedro prefectures.","Western Province, Western Lozi-Luyana area","Largest enclave in Ysyk-Kol Region near Karakol; others in Chuy Region, in Bishkek and 2 small nearby border areas.","Most live in the eastern Himalayan Range, and the largest numbers are located in eastern and south-eastern Bhutan, especially in Trashigang and Dungsam. A substantial number also live in neighboring parts of Arunachal Pradesh, India, especially in the Tawang and Kameng districts.  Some also live in Chinese Tibet, particularly in Cona County.","Oro province: Sohe district, Tamata rural LLG.","Maluku Province, southeast area, 35 villages. Tannembar islands; east coast Yamdena island, down to north tip of Selaru island. Latdalam village, southwest Yamdena.","Primarily north","Maluku Province, Maluku Tengah and Seram Bagian regencies, Timur Bula, Werinama, and Tehoru districts, 8 villages; Seram island, from east Teluti bay north to Seram Sea coast.","Tarija department: Cordillera de Pirapo; southwest of Pilcomayo river.","Central, south; Canary Islands","Borno state","Taranchi dialect in Kazakhstan; Kashgar-Yarkand in Uzbekistan","Milne Bay province: Alotau district, Sagarai valley, East tip of Papua.","Sumatra, Sumatera Selatan and Bengkulu provinces, Lubuklinggau and Muaraklingi areas south, east, and north generally; very small enclave just east of Bengkulu city.","Mainly northwest, Dzavhan, Uvs, Hovd, Hovsgol, Govi-Altay, Arhangay, and Bayan-Olgiy provinces.","Oaxaca state.","Racha-Lochkhumi-Kvemo Svaneti region: Lentekhi municipality; Samegrelo-Zemo Svateni region: Mestiya municipality.","Unity State, Abiemnhom and Pariang counties; into Abyei area.","Boucle du Muhoun region: Nayala province; Centre-Ouest region: North and central Sanguie province, Dassa, Didyr, Godyr, Kordie, Kyon, R\u00e9o, Tenado subdistricts, R\u00e9o principal center; Boulkiende province; Nord region: Passore province; thousands of migrants in neighboring countries, especially C\u00f4te d\u2019Ivoire.","Phongsali, Luang Namtha, Bokeo, and Xaignabouri provinces.","Amazonas department: upper Igar\u00e1-Paran\u00e1 and tributaries.","Sicily region: entire island of Sicily, including associated nearby island groups.","Kayin State, Thandaung township, western foot of Thandaung mountains, 9 villages; some in Bago, Taungoo township.","West region: Menoua division, Dschang area; South West region: Lebialem division.","Scattered, including Sardinia and Sicily","Upper Casamance, Edun area; border areas, Kedougou, Tambacounda.","Sandaun province. 6 villages.","Oklahoma, north central","East Sepik province: Blackwater and Korosameri rivers. 6 villages.","Chin State: Hakha township; Magway region: extreme north, 2 small border areas.","Manus province: Manus island, southeast coast, Baluan, Bundro, Johnson, M\u2019buke, Rambutyo, Tawi, Tilianu, and Wal islands.","Morobe province: Labu-Butu, Labu-Miti, and Labu-Tali, Markham river coast area.","Papua Province, Pegunungan Bintang regency, Okbibab subdistrict, border area east and north of Sobger river, south of Ji mountain.","Bas-Sassandra District, Tai, Bereby, and in San Pedro subprefectures.","Kaduna state: Jema\u2019a and Sanga LGAs; Nassarawa state: Wamba LGA.","Sarawak state: Scattered; Sabah: Tawau district.","Bengo province, east; Cuanza Sul province, north; Uige province, south.","Approximately 90,000 Eastern Lipo live in scattered communities across three counties in northern Yunnan and southern Sichuan provinces, primarily along the upper Yangtze River watershed. The majority live in Wuding and Yuanmou counties. Eastern Lipo communities are located from Panzhihua in Sichuan all the way down to the outskirts of Kunming city in Yunnan.","Chin State: Tenzin and Tonzang townships in Tedim District; \r\nSagaing Region: Mawlaik District; \r\nYangon Region; \r\nMandalay Region","East Nusa Tenggara province: south central Flores island. Manggarai Timur Regency (specially in Kecamatan Kota Komba) and also in Flores Timur Regency.","Papua Province, Merauke regency, Sawa-Erma subdistrict. Near Pater Le Cocq river headwaters west to Unir river east to the foothills.","Nari\u00f1o department; Putumayo department: Orito, San Miguel, and Valle del Gamu\u00e9z. Colombia-Ecuador border area.","Pwani region: Kisarawe and Bagamoyo districts, between Bagamoyo and Dar es Salaam; Morogoro region."],"top_values":[["Widespread.",103],["Widespread",49],["Primarily north",48],["Madang province.",32],["Scattered.",29],["Diaspora communities are typically concentrated in urban areas in search of economic and social opportunities",16],["Sagaing Region: Lahe Township in the Naga Self-Administered Zone",16],["The Zhuang are the largest minority group in China. With more than 17 million people, their population is approximately the same as the population of Australia. More than 11 million people speak the various Zhuang languages. The majority are located in the central and western parts of Guangxi in southern China. 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Their main diet consists of a millet paste, eaten with a sauce made from wild leaves, meat, or dried fish. They trade with the nearby Arabs on a regular basis to purchase items they cannot otherwise obtain. In these trades, millet is given for milk, meat, and items made by Arab blacksmiths.","The Kharga are Bedouins who live in Egyptian desert areas west of the city of Alexandria. Bedouins live nomadic lifestyles, leading their camels, goats and sheep to sources of water and food. Governments discourage this type of life, as it makes collecting taxes difficult and nearly impossible for Bedouin children to regularly attend school. Some Kharga young people are moving to cities looking for a better life.","","","","","","","","","","","Traditional Maguindanao settlements were located near waterways. This allowed ease of transportation and communication by boat. Several of the major trading centers were also seats of political power. This traditional pattern of settlement has been slowly altered by the building of roads that do not follow the natural course of the waterways. Large towns have sprung up along these highways, becoming new centers of commerce.","","","","","","","Walnuts are the chief export of Shamirzad, home of the Shahmirzadi people. All Shahmirzad residents are given proprietary rights in the orchard, determined by how much land they own. Tourists visit to experience Shamirzad's beautiful gardens and lovely climate during the summer months. As far as we know, the Shamirzadi people specialize in growing walnuts. There have been famous people from this people group including an archeological researcher, a professor, and an ambassador.","","","","","They are of diverse origin. They have four clans, each of which claims that they can trace their origins back to a different ethnic group. This suggests that the Med people absorb other ethnic groups that migrate to Makran.\r\n\r\nThe Meh people live in Pakistan's southwestern Baloch Province. Specifically, they live in the southern part of Balochistan on the Makran Coast, a semi-desert region on the coast of the Arabian Sea. They are the most prominent fishing community in Baloch Province. The Med people speak Balochi, and consider themselves to be Baloch, but other ethnic groups see them as different and distinct.","","","","","Most of the Dakpa are farmers. Their principal crops include corn, barley, and beets. They work long hours in the fields in order to produce enough to feed their families. Other important activities include herding yaks and sheep. Since only about 3% of the land in Bhutan is available for farming, the fields are often built in terraces up the mountain sides. The most distinctive part of the Dakpa outfit is the unique felt hat. The hats are flat felt discs made from yak hair. Each hat has five tail-like \"spouts\" that allow water to drain and the head to stay dry. The Dakpa are virtually 100% Buddhist, following the \"Red Hat\" sect of Tibetan Buddhism. In addition, traditional Tibetan shamanism is practiced by some. The Dakpa remain isolated and resistant to the Gospel.","","Telengana is home of most of India's Telugu speakers. In the United States, South Asian communities jokingly call themselves \"desis,\" and put aside old religious and communal animosities. They use English as their common language in South Asia and in the United States. Each language group likes to have their own associations where they can speak the language of their hearts. For this reason, there are Telugu associations throughout the United States. Many own businesses or practice medicine.","The Idaksahak (meaning \"sons of Isaac\") formerly were herders for Tuareg nobles, in return for their protection. This relationship has now broken down, and there is less mixing of the Idaksahak with the Tuaregs. However, they use the same watering holes, and they trade at the same markets. Some have become settled farmers while many are nomads and have few possessions apart from their animals. Though most live in Mali, the nomads may reach into Algeria and Niger. The men are often bilingual, speaking their own language and the language of the Tuareg. The women and children are often isolated in their camps and speak only their own language. Schooling is available only in the towns and will likely be in French, their trade language.","","","","The Enipu claim to have a history of at least 400 years. Their past has been one of struggle against being assimilated by the dominant Han Chinese. As a result, the Enipu moved to extremely remote mountainous locations where they could continue their lives in relative obscurity. Many Yi groups, including the Enipu, do not have written genealogies. They engage in oral competitions, reciting long lists of names. It is a disgrace to make mistakes in one's own genealogy and an insult to do so in another person's. In Enipu culture, the door is considered the most important part of the house. The place of honor at meals is reserved for the person who sits with his back to the wall and his face toward the door.","Kazakh people are descendants of Turkic tribes, Mongol groups and Indo-Iranian tribes, which populated the vast territory between Siberia and the Black Sea. Because of their nomadic pastoral lifestyle, Kazakhs kept an epic tradition of oral history. They had to develop phenomenal memories in order to keep an account of their history. The Kazakh nation, which amalgamated nomadic tribes of various Kazakh origins, preserved the distant memory of the original founding clans. ","","","",""],"top_values":[["",12328],["The name Rajput is derived from the Sanskrit word rajputra, meaning \"son of a ruler.\" Rajputs were a class of South Asian warriors and nobles for centuries. At certain times they were the warriors who conquered kingdoms and defended the land; when possible they enjoyed the life of nobles. When the British Empire began controlling parts of the Subcontinent starting in the late 1700s, they recruited Rajputs into their military. In the 20th century, Indian Prime Minister Indira Gandhi abolished the titles and property rights enjoyed by Rajputs. Today the Rajputs love to share about the military exploits of their ancestors. Some Rajputs own impressive hotels where tourists can be introduced to their proud history.",88],["Jats are brave, hardworking people who possess both the desire and ability to rule. It has been said that no Jat wants to be ruled. Rather, he desires to have power over a group if not over an area. They take great pride in their ancestry. Today, the Jats are well read, and some occupy high positions in academic and technical arenas. Physically, the Jats are usually taller and heavier than most of their neighbors. Because of their larger build, their reputation for violence, and the fact that they control much of the land and village income, they are generally feared by other communities. The Jat peoples are among the most prosperous groups in India on a per-capita basis. Ironically, because they value thriftiness and diligence, the Jats are often regarded as miserly.",74],["Members of the Bania caste are among the wealthiest people in India, and even the world. They are involved with businesses and money lending. A Bania might be the proud owner of a giant business, a small one, or he might be working in a bank. He might even own the bank. Others work in government ministries or as lawyers, judges, teachers, scholars, stockbrokers, or engineers.\r\n\r\nThey are often resented by other castes, because they lend much needed money at high interest rates. A pre-literate farmer might take a loan from a Bania only to find that a high percentage of his harvest will be taken away as interest. Bania customers often must put their farms or their gold up for collateral in case they cannot pay back their loans.",14],["Beldar are a Hindu people of India whose name means \"one who digs.\" They work in construction as those who excavate the ground and transport dirt. Other Beldar work as landless agricultural laborers. Since the Beldar do manual labor, many Hindus look down on them. Beldars are part of the fourth level caste of Hinduism, the Sudras. \r\n\r\nBeldars marry within their caste but they do not marry cousins as is often common in lower caste peoples. The government and NGOs are making efforts to educate the Beldar so that they might become part in the modern economy of India.",8],["The name Rajput is derived from the Sanskrit word rajputra, meaning \"son of a ruler.\" Rajputs were the class of South Asian warriors and nobles for centuries. At certain times they were the warriors who conquered kingdoms and defended the land; when possible they enjoyed the life of nobles. When the British Empire began controlling parts of the Subcontinent starting in the late 1700s, they recruited Rajputs into their military. Today the Rajputs love to share about the military exploits of their ancestors.",7],["The name Rajput is derived from the Sanskrit word rajputra, meaning \"son of a ruler.\" Rajputs were the class of South Asian warriors and nobles for centuries. At certain times, they were the warriors who conquered kingdoms and defended the land; when possible they enjoyed the life of nobles. When the British Empire began controlling parts of the Subcontinent starting in the late 1700s, they recruited Rajputs into their military. In the early 1970s, Indian Prime Minister Indira Gandhi abolished the titles and property rights enjoyed by Rajputs. \r\n\r\nToday the Rajputs love to share about the military exploits of their ancestors, and many of them are still in military service or own land. Wealthy Rajputs own impressive hotels where tourists can be introduced to their proud history. Those of modest means own small businesses or work as wage laborers.",7],["The name Rajput is derived from the Sanskrit word rajputra, meaning \"son of a ruler.\" Rajputs were the class of South Asian warriors and nobles for centuries. At certain times, they were the warriors who conquered kingdoms and defended the land; when possible they enjoyed the life of nobles. When the British Empire began controlling parts of the Subcontinent starting in the late 1700s, they recruited Rajputs into their military. In the early 1970s, Indian Prime Minister Indira Gandhi abolished the titles and property rights enjoyed by Rajputs. \r\n\r\nToday the Rajputs love to share about the military exploits of their ancestors, and many are still in military service or own land. Wealthy Rajputs own impressive hotels where tourists can be introduced to their proud history. Those of modest means own small businesses or work as wage laborers.",6],["The name Rajput is derived from the Sanskrit word rajputra, meaning \"son of a ruler.\" Rajputs were the class of South Asian warriors and nobles for centuries. At certain times, they were the warriors who conquered kingdoms and defended the land; when possible they enjoyed the life of nobles. When the British Empire began controlling parts of the Subcontinent starting in the late 1700s, they recruited Rajputs into their military. In the early 1970s, Indian Prime Minister Indira Gandhi abolished the titles and property rights enjoyed by Rajputs. \r\n\r\nToday Rajputs love to share about the military exploits of their ancestors, and many are still in military service or own land. Wealthy Rajputs own impressive hotels where tourists can be introduced to their proud history. Those of modest means own small businesses or work as wage laborers.",6],["Jats are brave, hardworking people who possess both the desire and ability to rule. It has been said that no Jat wants to be ruled. Rather, he desires to have power over a group if not over an area. \r\n\r\nThey take great pride in their ancestry. In fact, all the Jats in a particular village consider themselves to be the descendants of the man whom they believe founded it by the power of the sword. Most Jats live in rural areas. A small percentage are traders and laborers. Today, the Jats are well read, and some occupy high positions in academic and technical arenas.\r\n\r\nPhysically, the Jats are usually taller and heavier than most of their neighbors. Because of their larger build, their reputation for violence, and the fact that they control much of the land and village income, they are generally feared by other communities.\r\n\r\nThe Jat peoples are among the most prosperous groups in India on a per-capita basis. Ironically, because they value thriftiness and diligence, the Jats are often regarded as miserly.",5],["The Mandaeans are descendants of Jewish-Christian Gnostics (AD 150), and may be the only sect from late antiquity to identify themselves as Gnostics. Sometimes Mandaeans are called Christians of Saint John. Until recently, Mandaeans lived mainly in Iraq and Iran, but many have now fled Iraq and settled in other countries. \"A very strange and singular people, in terms of their rituals, lives in the desert near Baghdad....they are a very simple people and they claim to possess a secret law of God, which they preserve in beautiful books.\" Ricoldo da Montecroce, c 1290. Mandaeism is based more on a common heritage than on any set of religious creeds and doctrines. They venerate John the Baptist, and baptism is their central sacrament.",4],["Traditionally the Lezgin people have been an agrarian and pastoral people. They are well known for the textiles that their women weave. Some Lezgins work in food processing while others work seasonally making jewelry or weapons.",3],["The Banjara were traditionally a nomadic community, but today they more commonly are settled and work in agricultural production. They believe that they were originally Hindu and were forcibly converted to Islam. They are non-vegetarians who eat beef. The Muslim Banjara have twelve clans. They maintain cordial relations with neighboring communities and share water sources with them. They belong to the Sunni sect of Islam.",3],["The name Rajput is derived from the Sanskrit word rajputra, meaning son of a ruler. The Rajputra constitutes a class of nobility. The Rajput clans emerged as a dominant community in north and western India in the colonial period. The economic data suggests that the majority of Rajput are landowners. A large number of communities have migrated to their present habitat, and this has made them one of the most mobile groups in India.",3],["The name of the community is derived from the word sona meaning gold, and the people who work with gold are called Sunar or Sonar. Traditionally they are goldsmiths, but with the availability of better educational facilities the Sonar have become inclined towards education. They claim their social status next to that of the Brahmin. Divorce and remarriage are allowed.",3],["Sindhu Jats are brave, hardworking people who possess both the desire and ability to rule. It has been said that no Jat wants to be ruled. Rather, he desires to have power over a group if not over an area. \r\n\r\nThey take great pride in their ancestry. In fact, all the Jats in a particular village consider themselves to be the descendants of the man whom they believe founded it by the power of the sword. Most Jats live in rural areas. A small percentage are traders and laborers. Today, the Jats are well read, and some occupy high positions in academic and technical arenas.\r\n\r\nPhysically, the Jats are usually taller and heavier than most of their neighbors. Because of their larger build, their reputation for violence, and the fact that they control much of the land and village income, they are generally feared by other communities.\r\n\r\nThe Jat peoples are among the most prosperous groups in India on a per-capita basis. Ironically, because they value thriftiness and diligence, the Jats are often regarded as miserly.",3],["Though most Bashkirs live in their homeland that is now in southwestern Russia, others have fled to other countries like Belarus, Moldova, Ukraine, Kazakhstan, Turkmenistan, Tajikistan, Kyrgyzstan, Azerbaijan, and Armenia. Bashkir cuisine is heavy on dairy products. Their traditional dish is bishbarmaq, with includes boiled meat and a type of noodle covered with herbs, onions and cheese. The Bashkirs love their folklore which is usually about their early history. It includes aspects of worldly wisdom, morals and social aspirations. These are in the form of mythology, fairy tales and legends. They are especially fond of poetry.",3],["The Karakalpaks are generally poor, and unemployment is high, but people do what they can to make a living, working on their vegetable plots and gardens, fishing, selling at markets, raising some livestock, doing casual or seasonal jobs, etc. There is no social security system, just a network of local makankenes committees who can provide temporary support for the destitute. Karakalpak societies are patrilineal, which means that the line of descent is traced through the males. Large families are the ideal, and the nuclear family is composed of as many as four generations in the same household. The Karakalpaks believe that families who share meals together will stay very close.",3],["The Izarguien are Saharan Arabs, a sub-group of the Tekna tribe. They adhere to the Maliki branch of Sunni Islam. The Tekna is a tribal confederation of Berber and Arab origins in southern Morocco and parts of northern Western Sahara. The Tekna tribes speak the Hassaniya Arabic and Berber Tamazight languages. Their traditional lifestyle was partly nomadic, based on camel and goat herding, and partly sedentary, controlling important routes of the Saharan caravan trade.",2],["The term \"Moor\" is generally applied to any person, regardless of skin color, who speaks one of the Hassaniya dialects. Therefore, there are both black and white Moors who speak the same language. The Moors are primarily farmers. However, the Black and White Moors of Morocco are relatively urbanized and work in various trades. This has caused the traditional structures of Moorish society to change considerably. The Moors are a very proud people, conveying a sense of superiority to others in the area. Parents pre-arrange marriages, with the groom's father requesting the hand of the bride. 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Sexual promiscuity is so common that the best a woman can hope for is that her man gets regularly testing for AIDS.","The Islamic religious system offers a strong deterrent to finding the only savior.","Being a Muslim is part of the personal identity of the Bedouin. Nomadic peoples are some of the most challenging to reach with the gospel. Missionaries would have to follow the Kharga in their seasonal travels throughout the desert.","","","","","","","","","","","Muslim religious leaders and teachers preside over religious life. They teach young schoolboys to read and memorize the Koran. It is very difficult for them to accept the teachings of another holy book, especially when it comes from the Catholic Filipinos, whom many Muslims view as enemies.","","","","","","","The only Christian materials available in their language is one gospel recording.","","","","","The Med people are 100 percent Sunni Muslim. They have almost no chance to hear about the power and love of Jesus Christ, the only One who can save us from sin.","","","","","Geographic isolation makes access to the Dakpa difficult, and the country of Bhutan does not welcome Christian witness.","","Hinduism is a means to maintaining their cultural identity in a foreign culture.","It is difficult to contact and develop relationships with nomadic peoples. ","","","","The areas inhabited by the Enipu are practically devoid of any Christian presence. As a result, today there are no known Christians among the Enipu people. They live isolated lives in their mountain communities and have yet to be engaged by any messengers of the gospel.","Kazakh people have a long history of identifying with the Islamic religion. They do not understand that the one true Savior is the only one who can provide payment for the penalty of their sins.","","","",""],"top_values":[["",12327],["Rajputs have a strong sense of pride in their historical exploits. Even today they enjoy high status which reinforces that pride. Pride of the wrong sort is anathema to our Lord, and Rajputs will need to overcome this spiritual obstacle and accept the Kingdom of God like small children if they are going to enter it.",88],["Overall, the Jats have a good self-image. \"Men may come and men may go, but I go on forever,\" is a well-known Jat proverb. This sense of pride and accomplishment, along with a popular South Asian misconception that Christianity is only for the downcast, closes Jat hearts to responding to the gospel.",74],["The Beldars consider their basic identity is to be Hindu. Much prayer and the power of the Holy Spirit will be necessary to bring the Beldar into a saving knowledge of Christ.",8],["The Hindi speaking diaspora needs to find a new love\u2014a love for Jesus Christ, the one who offers them life to the full. As it stands, most are satisfied with religion.",7],["Overall, the Jats have a very good self-image. \"Men may come and men may go, but I go on forever,\" is a well-known Jat proverb. This sense of pride and accomplishment, along with a popular South Asian misconception that Christianity is only for the downcast, closes Jat hearts to responding to the gospel.",7],["For many Bosniaks, Islamic identity has more to do with cultural roots than with religious beliefs. Even among most religious Bosniaks, there is a disdain for religious leaders exercising any influence over day-to-day life. Bosniaks are no different than ",6],["Their nomadic lifestyle has made it difficult for workers to reach them. The Islamic religion is very difficult to influence.",5],["Fear of the spirit world and a suspicion that putting faith in Christ will alienate them from their communities are two major obstacles.",5],["Until the twentieth century, most Azeri identified themselves as Muslims rather than Azerbaijani or Turks. They believe that being a \"spiritual community of Islam\" was much more important than being a nation.",5],["After centuries of isolation the Mandaeans are quite insular and protective of their society and their religion. Christian resources are limited in their mother tongue.",4],["Bosniaks are no different than other Muslims in that they view Islam as a key part of their cultural foundation. Turning to various forms of Christianity is like joining the enemy.",4],["No matter where they live, the Thai believe that \u201cto be Thai is to be Buddhist.\u201d They are polite, but not open to the ways of Jesus.",4],["The Burmese are dedicated to Buddhism, and it is central to their identity.",4],["Karakalpaks are overwhelmingly Sunni Muslim. Few have heard a fair gospel presentation or seen Christianity lived out in someone's life.",4],["There is little or no Christian witness, nor any example of living Christianity for the Najdi Arabs to see or experience.",3],["For many Bosniaks, Islamic identity has more to do with cultural roots than with religious beliefs. Bosniaks are no different than other Muslims in that they view Islam as a key part of their cultural foundation. Turning to various forms of Christianity i",3],["The Lezgins and other people groups from their homeland are noted for being suspicious of outsiders, and unwilling to change their ways.",3],["Once a diaspora group is well settled, they are far less receptive than they were when they first arrived. Pray for spiritual receptivity.",3],["Giving up allegiance to personal deities may be threatening.",3]],"top_words":[["the",7573],["to",5338],["of",3966],["and",3174],["a",2934],["in",2901],["are",2691],["is",2628],["they",2183],["their",2143],["have",1375],["for",1314],["that",1287],["people",1048],["there",991],["will",922],["be",859],["with",854],["this",835],["as",827],["not",765],["gospel",741],["from",732],["need",698],["christ",690]],"vocab_skipped":null,"word_histogram":{"counts":[12327,13,151,289,485,432,484,435,349,323,247,123,103,297,158,45,38,16,18,11,5,11,11,3,2,1,0,1,2,2],"edges":[1.0,4.833333333333334,8.666666666666668,12.5,16.333333333333336,20.166666666666668,24.0,27.833333333333336,31.666666666666668,35.5,39.333333333333336,43.16666666666667,47.0,50.833333333333336,54.66666666666667,58.5,62.333333333333336,66.16666666666667,70.0,73.83333333333334,77.66666666666667,81.5,85.33333333333334,89.16666666666667,93.0,96.83333333333334,100.66666666666667,104.5,108.33333333333334,112.16666666666667,116.0]}},"kind":"text","n":16382,"n_null":0,"n_unique":3732,"null_rate":0.0,"stats":{"allcaps_rate":0.0,"boilerplate_rate":0.00042729825418141864,"duplicate_rate":0.7721889879135637,"emoji_rate":0.0,"len_max":726,"len_mean":47.39598339641069,"len_median":0.0,"len_min":0,"len_p95":267.0,"n_duplicates":12650,"n_empty":12327,"one_word_rate":0.7524722256134783,"readability_flesch_mean":12.759522498307815,"url_rate":0.0,"vocab_size":9899,"word_mean":8.704126480283238,"word_median":1.0}},{"alerts":[{"code":"one_word","level":"warn","message":"79.6% rows are a single word"},{"code":"duplicates","level":"warn","message":"82.0% duplicate strings"}],"column":"HowReach","extras":{"language_counts":{"__engine":"fasttext:984","en":984},"language_sample_size":5000,"length_histogram":{"counts":[13043,0,1,7,61,158,257,253,289,277,282,238,226,190,368,177,139,92,106,60,42,25,25,13,9,15,5,4,3,1,3,2,2,3,0,3,2,0,0,1],"edges":[0.0,14.975,29.95,44.925,59.9,74.875,89.85,104.825,119.8,134.775,149.75,164.725,179.7,194.67499999999998,209.65,224.625,239.6,254.575,269.55,284.525,299.5,314.47499999999997,329.45,344.425,359.4,374.375,389.34999999999997,404.325,419.3,434.275,449.25,464.22499999999997,479.2,494.175,509.15,524.125,539.1,554.0749999999999,569.05,584.025,599.0]},"near_unique":false,"sample":["","","","","","","","The Wolof and other African migrants to Italy need someone to teach them marketable skills for the work force. Believers can fill in this role, and give them the chance to meet active believers who share their faith.","Increased mission efforts, additional laborers, Christian broadcasts, and evangelistic literature are greatly needed to effectively reach the Kenga tribe with the gospel. However, prayer is the first step toward seeing them reached.","The JESUS Film is available in Libyan Arabic, the language of the Kharga. Teams of medical workers and veterinarians can demonstrate the love of Christ to the Kharga in practical ways.","","","","","","","","","","","Some Christian radio and television broadcasts are available for the Maguindanao, but there have been very few responses to them.","","","","","","","The homeland of the Shahmirzadi people is inundated with tourists every year. Some people can take them gospel recordings. Iranian believers can begin the process of winning, equipping, and discipling Shahmirzadi people for Christ's kingdom.","","","","","Believers need to go to the Med people with music, plays, and stories about the ways of Jesus.","","","","","Translation of scripture into the Brokpake language is needed, as well as Gospel recordings. Pray for funds and workers.","","Anyone who wants to reach them for Christ will first need to learn about Hindu cultures and appreciate them. Someone will have to find ways for Telugu speakers to follow Jesus without feeling like they are abandoning what is left of their culture.","Gospel recordings are available in the Tadaksahak language. Workers should consider taking recordings to these people, developing friendships, and pursuing opportunities to share the recordings.","","","","The Enipu have online-based oral Bibles and Bible teachings. They can access these from their own homes.","Believers with the right skills can go to Kazakhstan and help them with their infrastructure needs. There is always a need for skilled medical personnel. ","","","",""],"top_values":[["",13043],["The Jats need clean drinking water and proper health care facilities. Christian medical teams and humanitarian aid workers are needed in rural areas to work among them and show them God's love in practical ways.",136],["Long-standing traditions as well as spiritual forces keep Rajputs away from the Savior no matter where they live. Reaching the Rajputs would be enabled by knowledge of India's history and experience with the caste system.",70],["It is vital for those who go to Brahmins to build genuine relationships; they must pray for Brahmin friends, and eventually pray with Brahmin friends. We must focus on Christ himself as a living person, and on the supreme almighty God who was revealed by Christ as a loving father.",38],["Long-standing traditions as well as spiritual forces keep the Rajputs away from the Savior no matter where they live. Reaching the Rajputs would be enabled by knowledge of India's history and experience with the caste system.",18],["The JESUS Film and a Bosnian Bible are available. There is even a children's Bible, filled with stories of Jesus. These can be personally shared with Bosniaks or downloaded from computers.",14],["The JESUS film is available in the two primary languages of the Beldar, Kannada and Hindi. Radio programs would also be helpful in reaching the Beldar.",8],["The quality of health care, nutrition, housing, and education is poor, especially those who live in refugee camps. Believers with the right skills could be a blessing to the Romani by providing medical needs.",6],["South Asians come together each August 15 to celebrate Independence Day. That is a time for all religious communities to come together. Christ followers can give away copies of the JESUS Film and Bibles in Bengali.",6],["Rural Jats need clean drinking water and proper health care facilities. Christian medical teams and humanitarian aid workers are needed in rural areas to work among them and show them God's love in practical ways.",5],["Shia Muslims understand that even the righteous can face injustice and martyrdom. They might be more open to the death and resurrection of Christ than other Muslims.",5],["Mandaens now reside in some western countries, and access is easier than in the past. Christians should reach out to befriend these people, and find out more about their culture, their religion, and their world view. There are likely bridges to this people given their ancient roots in Christianity.",4],["Their animistic beliefs center around inherently evil spirits called nats. The Burmese spend their lives trying to appease the nats which Jesus Christ has already defeated. Christian believers who are familiar with spiritual warfare can demonstrate his power over these spirits.",4],["There is a complete Bible in their language. This can become available through distributions or through downloads on the internet.",4],["There are Bible portions and the JESUS Film in their language which they can access through computers.",3],["Jews for Jesus have experience in speaking to the Jewish heart. Perhaps they can reach them.",3],["Pray for the Lord to raise up a strong disciple making movement to saturate the hearts and minds of this people group.",3],["Pray that persons and households of peace will be found among the Banjara who will catalyze movements to Jesus among their own people.",3],["Sustained, focused prayer is needed to open the hearts of Rajput families to experiencing God's blessing through a movement of family-based discovery Bible studies.",3],["Pray the few believers among the Sonar will grow in sharing and discussing God's Word with their families and clans.",3]],"top_words":[["the",6504],["to",4156],["and",3351],["in",2650],["of",2448],["can",1823],["are",1528],["a",1239],["their",1204],["be",1204],["they",1194],["them",1118],["for",1074],["with",1032],["people",896],["gospel",895],["who",892],["will",876],["there",822],["as",816],["christ",808],["is",744],["believers",740],["that",710],["pray",703]],"vocab_skipped":null,"word_histogram":{"counts":[13043,2,42,157,271,442,323,403,315,235,498,180,149,73,107,58,21,23,9,6,7,4,6,1,2,3,1,0,0,1],"edges":[1.0,4.4,7.8,11.2,14.6,18.0,21.4,24.8,28.2,31.599999999999998,35.0,38.4,41.8,45.199999999999996,48.6,52.0,55.4,58.8,62.199999999999996,65.6,69.0,72.39999999999999,75.8,79.2,82.6,86.0,89.39999999999999,92.8,96.2,99.6,103.0]}},"kind":"text","n":16382,"n_null":0,"n_unique":2944,"null_rate":0.0,"stats":{"allcaps_rate":0.0,"boilerplate_rate":0.00012208521548040532,"duplicate_rate":0.8202905628128434,"emoji_rate":0.0,"len_max":599,"len_mean":36.29764375534123,"len_median":0.0,"len_min":0,"len_p95":221.0,"n_duplicates":13438,"n_empty":13043,"one_word_rate":0.7961787327554634,"readability_flesch_mean":12.173600892632457,"url_rate":0.0,"vocab_size":7981,"word_mean":6.879257721889879,"word_median":1.0}},{"alerts":[{"code":"one_word","level":"warn","message":"86.7% rows are a single word"},{"code":"duplicates","level":"warn","message":"89.1% duplicate strings"}],"column":"PrayForChurch","extras":{"language_counts":{"__engine":"fasttext:652","en":652},"language_sample_size":5000,"length_histogram":{"counts":[14208,0,1,16,45,107,112,149,164,193,134,324,110,126,95,99,56,103,55,116,17,28,23,33,15,3,13,9,5,2,6,3,2,2,2,2,1,0,1,2],"edges":[0.0,16.225,32.45,48.675000000000004,64.9,81.125,97.35000000000001,113.57500000000002,129.8,146.025,162.25,178.47500000000002,194.70000000000002,210.925,227.15000000000003,243.37500000000003,259.6,275.82500000000005,292.05,308.27500000000003,324.5,340.725,356.95000000000005,373.175,389.40000000000003,405.62500000000006,421.85,438.07500000000005,454.30000000000007,470.52500000000003,486.75000000000006,502.975,519.2,535.4250000000001,551.6500000000001,567.875,584.1,600.325,616.5500000000001,632.7750000000001,649.0]},"near_unique":false,"sample":["","","","","","","","Pray for the small number of Wolof believers to have the courage to share the love of Christ with their own people and be strong through persecution.\r\nAsk the Lord to give the Wolof believers opportunities to share the love of Christ with their own people.","","","","","","","","","","","","","Pray for God to encourage, strengthen and protect the small number of Magindanao believers.","","","","","","","As far as we know there are no followers of Christ among the Shahmirzadi people. Pray for the beginning of a church planting movement.","","","","","There are no followers of Christ that we know of among the Med people, so pray that there soon will be.","","","","","There are a few followers of Christ among the Dakpa. Pray they will grow in their faith. Pray they will desire to share the good news of Christ with family and friends, not being unduly timid. Pray that scripture will soon become available in their language.","","Forward (higher, more powerful) caste members are the ones who have the opportunity to move to Western countries, and they feel they have the most to lose by embracing Christ. For this reason, very few believers exist among Telugu speakers in the West. Pray for a breakthrough.","","","","","","","","","",""],"top_values":[["",14208],["There are few followers of Christ among any Jat community. Pray that the few who answer Christ's call will be used of Him to share His glory and life-changing gospel with other Jats.",146],["Pray that the small group of Christian believers among the Rajputs will be united in love around the truth of Scripture. Pray they live a life of love, just as Christ loved them and gave himself up for them.\r\nPray for the few Rajput believers to have the boldness to share the ways of Christ with other Rajputs.",88],["Pray that the few Brahmin-background believers will exhibit the fruit of the Holy Spirit with those they meet so that Christ will be honored and held in high esteem by these influential people.",43],["Pray that the small group of believers will be united in love around the truth of Scripture. \r\nPray they live a life of love, just as Christ loved them and gave himself up for them.\r\nPray for the few Rajput believers to have the boldness to share the ways of Christ with other Rajputs.",30],["Pray that the small group of believers will be united in love around the truth of Scripture.",19],["Pray the few followers of Christ among the Beldar peoples will live such joyful, loving and victorious lives that they will draw their Hindu neighbors to Jesus Christ.",8],["Pray that the few Brahman-background believers will exhibit the fruit of the Holy Spirit with those they meet so that Christ will be honored and held in high esteem by these influential people.",7],["Pray that the Holy Spirit will give the few believers among this people group the spiritual power to glorify His name among all peoples in Sri Lanka.",5],["There likely are no Christian believers among the Mandaeans, but pray those who will soon find Christ will be able to clearly understand the Good News of Christ, especially the grace He offers.",4],["Pray that Gond believers will live victorious lives that will draw others to the Savior.",4],["There are probably no present followers of Jesus among the Muslim Banjara community, but pray for those the Lord will soon call to himself. Pray they will have nothing to do with the deeds of darkness, living as children of light. Pray for materials to help them grow properly, such as recorded or written Scripture, and Gospel films.",3],["Pray for the few Rajput believers to be effective at engaging their families and communities in discussing Bible stories and experiencing God's blessing.",3],["There are few if any Christian believers among the Sonar, but pray for the ones that will soon be a part of this community. Pray they be well instructed in the faith, and will grow in maturity and in numbers. Pray they live holy lives.",3],["There are a few followers of Christ among the Teli. Pray that these will be fruitful and effective in sharing God's Word and blessing to strengthen their own families and spread God's blessing to other Teli households.",3],["There are no followers of Christ among the Zenaga Berbers, so pray for the Holy Spirit to move in their communities in the near future.",2],["Pray the few believers among the Regeibat will grow in sharing and discussing God's Word with their families and communities. Pray they will be accurately instructed in the faith, and that they will be strengthened by the Holy Spirit to live holy lives.",2],["There are no known Christian believers among this people at this time. Pray for hearts to begin to hunger for the forgiveness of sin found only in trust in the finished work of Jesus Christ.",2],["There are no followers of Christ who speak the Belait language. Pray that this will soon change.",2],["There are no believers among this tribal group. Pray this will soon change.",2]],"top_words":[["the",5481],["to",3417],["of",2962],["pray",2867],["and",2328],["will",2111],["for",1875],["that",1767],["in",1720],["among",1328],["be",1294],["believers",1111],["christ",1094],["they",1042],["a",990],["few",939],["there",938],["their",866],["are",842],["with",770],["followers",648],["them",588],["jesus",578],["who",566],["people",531]],"vocab_skipped":null,"word_histogram":{"counts":[14208,1,28,96,131,199,242,216,354,176,133,129,69,97,148,36,27,33,21,8,12,4,1,6,1,1,2,1,1,1],"edges":[1.0,4.766666666666667,8.533333333333333,12.3,16.066666666666666,19.833333333333332,23.6,27.366666666666667,31.133333333333333,34.9,38.666666666666664,42.43333333333333,46.2,49.96666666666667,53.733333333333334,57.5,61.266666666666666,65.03333333333333,68.8,72.56666666666666,76.33333333333333,80.1,83.86666666666666,87.63333333333333,91.4,95.16666666666667,98.93333333333334,102.7,106.46666666666667,110.23333333333333,114.0]}},"kind":"text","n":16382,"n_null":0,"n_unique":1791,"null_rate":0.0,"stats":{"allcaps_rate":0.0,"boilerplate_rate":0.0,"duplicate_rate":0.8906726895372971,"emoji_rate":0.0,"len_max":649,"len_mean":26.90599438408009,"len_median":0.0,"len_min":0,"len_p95":210.0,"n_duplicates":14591,"n_empty":14208,"one_word_rate":0.8672933707727994,"readability_flesch_mean":7.549724193060138,"url_rate":0.0,"vocab_size":4576,"word_mean":5.5994994506165305,"word_median":1.0}},{"alerts":[{"code":"one_word","level":"warn","message":"76.7% rows are a single word"},{"code":"duplicates","level":"warn","message":"78.5% duplicate strings"}],"column":"PrayForPG","extras":{"language_counts":{"__engine":"fasttext:1,084","en":1084},"language_sample_size":5000,"length_histogram":{"counts":[12571,0,6,48,91,161,144,188,167,215,218,266,279,339,324,245,275,199,241,122,76,59,43,34,22,11,12,6,11,4,3,1,0,0,0,0,0,0,0,1],"edges":[0.0,23.425,46.85,70.275,93.7,117.125,140.55,163.975,187.4,210.82500000000002,234.25,257.675,281.1,304.52500000000003,327.95,351.375,374.8,398.225,421.65000000000003,445.075,468.5,491.925,515.35,538.775,562.2,585.625,609.0500000000001,632.475,655.9,679.325,702.75,726.1750000000001,749.6,773.025,796.45,819.875,843.3000000000001,866.725,890.15,913.575,937.0]},"near_unique":false,"sample":["","","","","","","","Pray for the translation of the Old Testament into Wolof.\r\nPray for effectiveness of the JESUS Film, radio, and other evangelistic tools among the Wolof people.\r\nPray that the Wolof people living in Italy would come to know God and return to their people as spiritual leaders.\r\nAsk the Lord to raise up strong local churches among Wolof communities in Italy.\r\nAsk God to raise up prayer teams to break up the soil through worship and intercession.\r\nAsk God to grant wisdom and favor to mission agencies focusing on the Wolof.\r\nPray that their traditional Muslim culture will soften, creating open doors for the gospel to be preached among them.","Aski the Holy Spirit to grant wisdom and favor to mission agencies that may be focusing on the Kenga people.\r\nPray that God will call Christian teachers and medical workers to minister to the Kenga people.\r\nAsk God to raise up additional long-term missionaries to join the few who have already responded.\r\nPray that signs and wonders will follow the Kenga believers as they share Christ with their own people.\r\nAsk God to raise up prayer teams who will begin breaking up the spiritual soil of Chad through intercession.\r\nAsk the Lord to raise up strong local fellowships of believers.","Ask the Lord to send workers to the Kharga of Egypt. Ask the Lord to open the hearts of the Kharga leaders and elders to receive the good news about Jesus. Pray that Kharga leaders would investigate the claims of Christ. Ask the Lord to raise up a disciple making movement among the Kharga of Egypt in this decade. Pray that Kharga parents would be able to provide for their children.","","","","","","","","","","","Ask the Lord to raise up a strong church among the Maguindanao that will be a blessing to their community. Ask the Holy Spirit to prepare the hearts of the Maguindanao people for the gospel. Ask the Holy Spirit to give mission agencies creative ideas with which to reach the Muslim Maguindanao.","","","","","","","Pray for the Lord to raise up people from the Shahmirzadi people to translate the New Testament, the JESUS Film, and radio broadcasts into their language.\r\nPray for Holy Spirit led believers to befriend the Shahmirzadi people and lead them to follow Jesus Christ.\r\nPray for a disciple-making movement to flourish among the Shahmirzadi people.\r\nPray that the Shahmirzadi people will learn of the goodness of God and of his kingdom.","","","","","Pray for the Med people to have the chance to meet the One who called His disciples to become fishers of men. Pray that they will become fishers of men in Pakistan and Iran.\r\nPray for Baloch language materials to become readily available to the Med people. \r\nPray for a movement to Christ among the Med people.","","","","","Pray these Buddhist peoples may be given the gift of awareness of sin, and the need for a Savior. Pray their hearts will be prepared when the good news of Christ comes to them.","","Pray for a movement to penetrate forward caste Telugu-speaking people in the United States who would extend to their communities in India. Pray for the kingdom of God to penetrate hearts of Telugu speakers.","Pray for good schools to be made available for the children and for parents to recognize the importance of education. Pray for adequate rain, so the livestock will do well. Pray for Idaksahak believers to make more disciples until every family is reached for Christ.","","","","Pray for the Lord to intervene in their families, calling people to his side.\r\nPray for loving workers.\r\nPray for their hearts to be drawn to the Lord of lords.\r\nPray for a church planting movement to thrive in their communities.","Pray for the Holy Spirit to nurture a movement to Christ and cause church plants that will begin with leaders and influence entire families. Pray for the Lord to provide Kazakhstan abundant rain as a testimony of his goodness and power. ","","","",""],"top_values":[["",12570],["Pray the Lord will give them spiritual hunger, then satisfy that hunger with Christ.\r\nPray these people will understand the value of becoming part of God's royal family.\r\nPray for a Holy Spirit led humility for all Rajput communities to fall at the feet of the King of kings.\r\nPray for a disciple making movement among every Rajput community.\r\nPray for the Lord to bless the Rajputs with His abundant mercy, grace and guidance.",88],["Pray that Jat people will have a spiritual hunger that will drive them to seek and find Jesus Christ. Ask the Lord of the harvest to send out laborers filled with the power and the fruit of the Holy Spirit to serve the Jats. Pray for a disciple making movement to emerge among every Jat clan and community in the 2020s.",74],["Pray for the Lord to intervene in their families, calling people to his side.\r\nPray for loving workers.\r\nPray for their hearts to be drawn to the Lord of lords.\r\nPray for a church planting movement to thrive in their communities.",14],["Ask the Holy Spirit to soften the hearts of Bosniaks toward Christ followers so that they will be receptive to the gospel.\r\nPray that God will grant wisdom and favor to the mission agencies that are currently working among Bosnians.\r\nAsk the Lord to call people who are willing to share Christ with Bosniaks.\r\nAsk God to encourage the few known Bosnian believers in this region.\r\nAsk the Lord to raise strong churches among Bosnians that will plant more churches.",12],["Pray for the authority of Christ to bind hindering spiritual forces to lead them from darkness to light.\r\nPray for signs and wonders to happen among them and for great breakthroughs with a rapid multiplication of disciples and house churches.\r\nPray for bold workers who are driven by the love of the Holy Spirit to go to them.\r\nPray for an unstoppable movement to Christ among them.",8],["Pray for families of Beldar believers to become reproducing bodies of Christ, serving those around them with love and compassion. Pray for a chain reaction of Beldar families reaching families that results in thousands of new believers who share their faith with others. Pray that churches and believers will bless their entire people group in such a way that God's love will change the Beldar people like yeast changes dough.",8],["Pray for the authority of Christ to bind hindering spiritual forces to lead them from darkness to light.\r\nPray for signs and wonders among them and for great breakthroughs with a rapid multiplication of disciples and house churches.\r\nPray for bold workers who are driven by the love of the Holy Spirit to go to them.\r\nPray for an unstoppable movement to Christ among them no matter where they live.",6],["Pray for the Lord to intervene in their families, calling people to his side.\r\nPray for loving, anointed workers.\r\nPray for their hearts to be drawn to the Lord of lords.\r\nPray for a church planting movement to thrive in their communities.",5],["Pray the Mandaen diaspora peoples will be able to integrate into the cultures and societies where they now reside, and will be open to new world views.",4],["Pray for Hui culture to be renewed and enhanced by a work of the Holy Spirit and shaped into a God-centered and God-honoring mold.\r\nPray for the Holy Spirit to move among their family and community leaders to seek his face and enjoy his blessings.\r\nPray for the Lord to thrust out workers who will be compelled to nurture a disciple making movement among the Hui people.\r\nPray that soon the Hui people will have faith that will lead them to live honorable lives that will draw others to the savior.",4],["Pray that God will send courageous workers to them and faithful intercessors to pray until they have been discipled in the ways of Jesus.",3],["Pray for the authority of Christ to bind hindering spiritual forces to lead them from darkness to light.\r\nPray for signs and wonders among them and for great breakthroughs with a rapid multiplication of disciples and house churches.\r\nPray for bold workers who are driven by the love of the Holy Spirit to go to them.\r\nPray for an unstoppable movement to Christ among them.",3],["Pray for bold workers who are driven by the love of the Holy Spirit to go to them.\r\nPray for an unstoppable movement to Christ among them.\r\nPray for the authority of Christ to bind hindering spiritual forces to lead them from darkness to light.\r\nPray for signs and wonders to happen among them and for great breakthroughs with a rapid multiplication of disciples and house churches.",3],["Pray for the Banjara community to be able to adequately care for their families, and for widows, orphans, and elderly people to have the care and protection needed.",3],["Pray that a strong movement to Jesus will bring whole Rajput families and communities into a rich experience of God's blessings.",3],["Pray for the Sonar community to be humble enough to acknowledge their need for forgiveness of sin, and that they understand the provision for forgiveness that God has provided.",3],["Pray that a strong movement to Jesus will bring whole Teli families and communities into a rich experience of God's blessing.",3],["Pray for the Lord to provide an abundant harvest for the Bambara as a demonstration of his goodness and power. Pray for a spiritual hunger that will drive the Bambara people into the loving arms of Jesus Christ. Pray for the Lord to thrust out loving ambassadors to the Bambara people in West Africa. Pray for an unstoppable movement to Christ among the Bambara people.",3],["Pray for the Holy Spirit to give the Uzbek people teachable and understanding hearts. Pray for Uzbek families to be drawn by the Holy Spirit to seek forgiveness, and to understand the adequacy of Christ's work on the cross. Pray for a movement of family-based discovery Bible studies.",3]],"top_words":[["the",15467],["to",13570],["for",8676],["and",6768],["of",5686],["pray",5602],["that",4576],["will",4082],["a",3806],["in",3324],["their",2670],["among",2410],["lord",2128],["be",1988],["people",1934],["movement",1768],["them",1635],["jesus",1607],["christ",1518],["would",1412],["with",1378],["they",1317],["holy",1258],["spiritual",1256],["god",1214]],"vocab_skipped":null,"word_histogram":{"counts":[12571,6,67,138,165,268,229,283,283,410,460,357,336,350,166,118,62,48,21,13,12,8,7,1,1,1,0,0,0,1],"edges":[1.0,6.2,11.4,16.6,21.8,27.0,32.2,37.4,42.6,47.800000000000004,53.0,58.2,63.400000000000006,68.60000000000001,73.8,79.0,84.2,89.4,94.60000000000001,99.8,105.0,110.2,115.4,120.60000000000001,125.80000000000001,131.0,136.20000000000002,141.4,146.6,151.8,157.0]}},"kind":"text","n":16382,"n_null":0,"n_unique":3530,"null_rate":0.0,"stats":{"allcaps_rate":0.0,"boilerplate_rate":0.0,"duplicate_rate":0.7845195946770847,"emoji_rate":0.0,"len_max":937,"len_mean":72.21584666096936,"len_median":0.0,"len_min":0,"len_p95":400.0,"n_duplicates":12852,"n_empty":12570,"one_word_rate":0.7673055792943475,"readability_flesch_mean":14.314394470598158,"url_rate":0.0,"vocab_size":9427,"word_mean":13.06024905383958,"word_median":1.0}},{"alerts":[{"code":"skipped","level":"info","message":"no profiler for kind=unknown"}],"column":"Resources","extras":{},"kind":"unknown","n":16382,"n_null":0,"n_unique":null,"null_rate":0.0,"stats":{}},{"alerts":[{"code":"skipped","level":"info","message":"no profiler for kind=unknown"}],"column":"country_data","extras":{},"kind":"unknown","n":16382,"n_null":0,"n_unique":null,"null_rate":0.0,"stats":{}},{"alerts":[{"code":"skipped","level":"info","message":"no profiler for kind=unknown"}],"column":"language_data","extras":{},"kind":"unknown","n":16382,"n_null":0,"n_unique":null,"null_rate":0.0,"stats":{}}],"insights":{"errors":[],"insights":[{"confidence":"high","critiques":[],"evidence_keys":["Continent","AffinityBloc","PrimaryReligion","JPScaleText","Population","PCIslam","PCHinduism","RegionName","LeastReached","Frontier"],"featured_charts":[{"caption":"Where the people groups sit geographically \u2014 Asia dominates at ~45% of rows.","column":"Continent","kind":"bar"},{"caption":"Religion mix across groups; Christianity and Islam together cover most of the file.","column":"PrimaryReligion","kind":"donut"},{"caption":"Reachedness rating \u2014 note that 'Unreached' is the single largest bucket (~43%).","column":"JPScaleText","kind":"bar"},{"caption":"Highly skewed group sizes (median 20k, max ~913M); plot on a log scale to see the shape.","column":"Population","kind":"histogram"},{"caption":"Top-level cultural groupings; South Asian and Sub-Saharan blocs lead.","column":"AffinityBloc","kind":"bar"}],"model":"anthropic:claude-opus-4-7","narrative":"This is the Joshua Project people-groups dataset: 16,382 rows and 109 columns describing ethnic groups by country, with demographics, language, religion mix, and Christian-engagement indicators. The shape is dominated by categorical and text fields \u2014 Continent, AffinityBloc, PrimaryReligion, and the JPScale 'reachedness' rating give the cleanest first read on who is in the file. Population is extremely long-tailed (median 20,000 but max ~913M and skew ~91), so any size analysis should use logs or quantiles rather than means. Religion-share columns like PCIslam, PCHinduism, and PCBuddhism are mostly zero with a minority of groups at very high percentages, which tells you religion is effectively single-dominant per group. Watch out for several columns with very high null rates (RLG4 96%, NomadicTypeDescription 98%, PrimaryLanguageDialect 92%, NTOnline 29%) and many near-duplicate URL/ID fields that won't add analytic value.","scope":"dataset","target":"__global__"},{"confidence":"high","critiques":[],"evidence_keys":["n","n_unique","null_rate","stats.len_min","stats.len_max","stats.len_mean","stats.one_word_rate","stats.allcaps_rate","stats.duplicate_rate","stats.vocab_size","top_words"],"model":"anthropic:claude-opus-4-7","narrative":"PeopleID3ROG3 is almost certainly a person-level identifier: every one of the 16,382 rows has a unique 7-character all-caps single token (n_unique equals n, duplicate_rate 0, len_min and len_max both 7). The sampled values look like a 5-digit numeric prefix followed by a 2-letter suffix (e.g. '10375tz', '10375up'), suggesting a structured composite key rather than a random hash. No nulls, no boilerplate, no duplicates \u2014 clean but useless as a feature.","role":"identifier","scope":"column","target":"PeopleID3ROG3","treatment":"Drop from modelling; retain only as a join key."},{"confidence":"high","critiques":[],"evidence_keys":["n","n_unique","null_rate","stats.top_value","stats.top_rate","stats.entropy_ratio","top_values"],"model":"anthropic:claude-opus-4-7","narrative":"ROG3 holds 238 distinct two-letter codes that look like ISO country codes, with IN (2,262 rows, 13.8%) leading, followed by PP, ID, PK, CH, and NI. No nulls across 16,382 rows, and the entropy ratio of 0.79 indicates a fairly even spread across many countries rather than concentration in a handful. The presence of 'PP' among the top values is unusual since it isn't a standard ISO 3166-1 alpha-2 code and may signal a custom or legacy encoding worth verifying.","role":"feature","scope":"column","target":"ROG3","treatment":"Treat as a high-cardinality categorical: target- or frequency-encode for modelling, and reconcile non-standard codes like 'PP' against an ISO reference."},{"confidence":"high","critiques":[],"evidence_keys":["n","n_unique","null_rate","stats.min","stats.max","stats.skew","stats.kurtosis","stats.n_outliers","stats.zero_rate"],"model":"anthropic:claude-opus-4-7","narrative":"PeopleID3 is an integer key ranging from 10119 to 22661 with 10415 unique values across 16382 rows and no nulls. The duplication (about 5967 repeated entries) and the bounded, non-zero range are consistent with a foreign-key reference to a people table rather than a measurement. Distribution is mildly right-skewed (0.37) and platykurtic (-0.98), with no outliers flagged.","role":"foreign_key","scope":"column","target":"PeopleID3","treatment":"Treat as a foreign key and left-join to the people dimension; do not use as a numeric feature."},{"confidence":"medium","critiques":[],"evidence_keys":["n","n_unique","null_rate","stats.min","stats.max","stats.mean","stats.median","stats.skew","stats.kurtosis","stats.iqr","stats.n_outliers"],"model":"anthropic:claude-opus-4-7","narrative":"ROP3 is a numeric column tightly bounded between 100004 and 119649 across 16382 rows, with 10405 unique values and almost no nulls (0.07%). The mean (109058.6) and median (108856) sit close together with low skew (0.15) and slightly platykurtic shape (kurtosis -1.05), and saturn flagged zero outliers. The narrow ~20k range starting just above 100000 looks more like a coded identifier or zoned key than a free-ranging measurement.","role":"identifier","scope":"column","target":"ROP3","treatment":"Treat as a categorical code rather than a continuous feature; do not scale or log-transform."},{"confidence":"high","critiques":[],"evidence_keys":["n","n_unique","stats.len_median","stats.word_median","stats.one_word_rate","stats.duplicate_rate","stats.n_duplicates","top_values","top_words"],"model":"anthropic:claude-opus-4-7","narrative":"Short ethnonym/people-group labels naming a population within a country (e.g., 'French', 'British', 'Han Chinese, Mandarin'), with a median length of 9 characters and median word count of 1. 53% of values are single words and 34% are duplicates (5634 rows), so the same group label recurs across many country rows; 'Deaf' tops the list at 164. Frequent qualifiers like '(Hindu traditions)' and '(Muslim traditions)' indicate a Joshua-Project-style people-group taxonomy rather than free text.","role":"label","scope":"column","target":"PeopNameInCountry","treatment":"Treat as a categorical people-group label; normalize casing/parentheticals and join with country to form the unique key."},{"confidence":"high","critiques":[],"evidence_keys":["n","n_unique","null_rate","stats.cardinality","stats.entropy_ratio","stats.top_rate","stats.top_value","top_values"],"model":"anthropic:claude-opus-4-7","narrative":"ROG2 is a low-cardinality categorical with 7 codes that look like macro-region groupings (ASI, AFR, EUR, NAR, AUS, LAM, SOP). Distribution is uneven but not degenerate: ASI dominates at 45.0% of 16,382 rows, AFR follows at 3,635, and entropy ratio of 0.80 confirms broad spread across the remaining buckets. No nulls and no rare-value tail beyond the seven codes.","role":"feature","scope":"column","target":"ROG2","treatment":"one-hot or target-encode; safe to use directly given clean 7-level categorical with no missingness."},{"confidence":"high","critiques":[],"evidence_keys":["n","n_unique","null_rate","stats.cardinality","stats.entropy_ratio","stats.top_rate","stats.top_value","top_values"],"model":"anthropic:claude-opus-4-7","narrative":"Categorical continent label with all 7 expected values and zero nulls across 16,382 rows. Asia dominates at 44.98% (7,368 rows), followed by Africa at 3,635; entropy ratio of 0.80 confirms a moderately skewed but not degenerate distribution. Note that Australia (1,088) and Oceania (447) appear as separate categories, which is unusual and suggests inconsistent regional coding worth reconciling.","role":"feature","scope":"column","target":"Continent","treatment":"One-hot encode after merging Australia and Oceania into a single category."},{"confidence":"high","critiques":[],"evidence_keys":["n","n_unique","null_rate","stats.cardinality","stats.entropy_ratio","stats.top_rate","stats.top_value","top_values"],"model":"anthropic:claude-opus-4-7","narrative":"RegionName is a categorical geographic grouping with 12 distinct world regions and no nulls across 16,382 rows. Distribution is fairly balanced (entropy ratio 0.93), though 'Asia, South' leads at 22.6% (3,707 rows) and the top three regions are all Asian or African. The labels use a 'Continent, Subregion' convention which may need parsing if continent-level rollups are wanted.","role":"feature","scope":"column","target":"RegionName","treatment":"one-hot or target-encode for modelling; optionally split on the comma to derive a continent column."},{"confidence":"high","critiques":[],"evidence_keys":["n","n_unique","null_rate","stats.cardinality","stats.entropy_ratio","stats.top_rate","stats.top_value","top_values"],"model":"anthropic:claude-opus-4-7","narrative":"This column holds ISO3 country codes across 238 distinct values with no nulls, consistent with a country dimension key. India (IND) dominates at 13.8% (2262 rows), followed by PNG, IDN, PAK and CHN, indicating a heavy Asia/tropical skew rather than uniform global coverage. Entropy ratio of 0.79 confirms moderate concentration on a few countries.","role":"foreign_key","scope":"column","target":"ISO3","treatment":"Use as a country join key; consider grouping long-tail codes or stratifying analyses to handle the IND-heavy skew."},{"confidence":"high","critiques":[],"evidence_keys":["null_rate","stats.duplicate_rate","stats.len_max","stats.len_mean","stats.readability_flesch_mean","language_counts","top_values","top_words","n_unique"],"model":"anthropic:claude-opus-4-7","narrative":"Free-text descriptions of where a group is located within a country, mixing geographic prose ('Primarily north', 'Madang province.') with longer ethnographic paragraphs up to 994 characters. Nearly half the rows are null (45.12%) and 13.3% are duplicate strings, with stock phrases like 'Widespread.' (103) and 'Scattered.' recurring. Although 2,618 entries register as English, small pockets of Spanish (12), Portuguese (10) and nine other languages appear, and Flesch readability averages a difficult 38.1.","role":"free_text","scope":"column","target":"LocationInCountry","treatment":"Normalize boilerplate phrases and tokenize/embed for semantic use; do not treat as a categorical."},{"confidence":"high","critiques":[],"evidence_keys":["n","n_unique","min","max","median","skew","null_rate"],"model":"anthropic:claude-opus-4-7","narrative":"PeopleID1 is stored as numeric but takes only 16 distinct integer values across 16,382 rows, ranging from 10 to 26 with a median of 20. The bounded range, low cardinality, and left skew (-0.79) suggest this is a small categorical or grouping code rather than a true continuous measurement, despite the 'ID' name implying a key.","role":"feature","scope":"column","target":"PeopleID1","treatment":"Cast to categorical and one-hot encode rather than treating as continuous."},{"confidence":"high","critiques":[],"evidence_keys":["n","n_unique","null_rate","stats.cardinality","stats.entropy_ratio","stats.top_rate","stats.top_value","top_values"],"model":"anthropic:claude-opus-4-7","narrative":"ROP1 is a low-cardinality categorical code with 16 distinct values (all prefixed 'A0##'), fully populated across 16382 rows. The distribution is moderately concentrated: 'A012' alone covers 25.5% and 'A013' adds another ~19%, while entropy ratio is 0.83 indicating reasonably even spread among the rest. Looks like a fixed coded attribute (e.g., a category or status code) rather than a free identifier.","role":"feature","scope":"column","target":"ROP1","treatment":"one-hot or target-encode for modelling."},{"confidence":"high","critiques":[],"evidence_keys":["n","n_unique","null_rate","stats.cardinality","stats.entropy_ratio","stats.top_rate","stats.top_value","top_values"],"model":"anthropic:claude-opus-4-7","narrative":"AffinityBloc is a categorical grouping of populations into 16 broad ethno-geographic blocs, with no nulls across 16,382 rows. The distribution is moderately concentrated: \"South Asian Peoples\" leads at 25.5% (4,178 rows), followed by \"Sub-Saharan Peoples\" (3,073), while entropy ratio of 0.83 indicates the remaining 14 categories carry meaningful mass. Labels mix regional and ethnolinguistic framings (e.g., \"Arab World\" alongside \"Tibetan-Himalayan Peoples\"), which an analyst should note for taxonomy consistency.","role":"feature","scope":"column","target":"AffinityBloc","treatment":"One-hot or target-encode for modelling; audit label taxonomy for overlap before grouping."},{"confidence":"high","critiques":[],"evidence_keys":["n","n_unique","null_rate","stats.min","stats.max","stats.mean","stats.median","stats.skew","stats.kurtosis","stats.outlier_rate"],"model":"anthropic:claude-opus-4-7","narrative":"PeopleID2 is a numeric people-identifier code with only 267 distinct values across 16,382 rows, so each id repeats heavily and behaves more like a foreign key than a measurement. Values span 100 to 479 with a fairly flat distribution (kurtosis -1.13, skew 0.25) and no nulls or outliers, consistent with a bounded code rather than a quantity to model.","role":"foreign_key","scope":"column","target":"PeopleID2","treatment":"Treat as a categorical key and left-join on it rather than using as a numeric feature."},{"confidence":"high","critiques":[],"evidence_keys":["n","n_unique","null_rate","stats.cardinality","stats.entropy_ratio","stats.top_rate","stats.top_value","top_values"],"model":"anthropic:claude-opus-4-7","narrative":"ROP2 is a categorical code field with 214 distinct alphanumeric values (e.g., 'A012', 'C0152') across 16,382 rows and no nulls, suggesting a controlled vocabulary like a routing or product code. The distribution is heavy-tailed: 'A012' alone covers 25.4% of rows and the next code 'C0152' another ~7%, while entropy ratio sits at 0.76. The 'A' vs 'C' prefix split hints at two code families coexisting in the same column.","role":"feature","scope":"column","target":"ROP2","treatment":"Group rare codes into an 'other' bucket and target/one-hot encode the high-frequency levels."},{"confidence":"high","critiques":[],"evidence_keys":["n","n_unique","null_rate","stats.cardinality","stats.entropy","stats.entropy_ratio","stats.top_rate","stats.top_value","top_values"],"model":"anthropic:claude-opus-4-7","narrative":"PeopleCluster is a categorical ethnographic grouping with 267 distinct values across 16,382 rows and no nulls. The distribution is broad (entropy ratio 0.86) but with a notable concentration: 'New Guinea' accounts for 6.95% of rows (1,139), followed by 'South Asia Hindu - other' (935) and 'South Asia Muslim - other' (592). The labels mix geographic, religious, and tribal descriptors, so several '... - other' buckets are doing heavy lifting.","role":"feature","scope":"column","target":"PeopleCluster","treatment":"Group rare clusters and target- or frequency-encode before modelling."},{"confidence":"high","critiques":[],"evidence_keys":["n","n_unique","stats.duplicate_rate","stats.n_duplicates","stats.one_word_rate","stats.word_mean","stats.len_median","top_values","top_words"],"model":"anthropic:claude-opus-4-7","narrative":"This column holds people-group or ethnicity names repeated across countries, with 10,377 unique labels over 16,382 rows and a 36.7% duplicate rate (6,005 repeats). Entries are short (median 8 chars, mean 1.57 words) and 59% are single-word labels like 'Deaf' (164), 'French' (82), or 'British' (81). The frequent fragments '(hindu' (516) and '(muslim' (424) alongside 'traditions)' (1038) suggest religious-tradition qualifiers in parentheses are a common naming convention, and the same group name recurs because it appears in multiple country contexts.","role":"foreign_key","scope":"column","target":"PeopNameAcrossCountries","treatment":"Treat as a people-group key; normalize casing/parentheticals and join with country to form a unique grouping key."},{"confidence":"high","critiques":[],"evidence_keys":["n","n_unique","null_rate","stats.median","stats.mean","stats.max","stats.min","stats.q1","stats.q3","stats.skew","stats.kurtosis","stats.outlier_rate","stats.std"],"model":"anthropic:claude-opus-4-7","narrative":"This is a Population count column with 16,382 rows and only 1,708 unique values, suggesting many shared or rounded figures. The distribution is extremely heavy-tailed: median is 20,000 but the max is 912,955,000, with skew 91.04 and kurtosis 10,050.74, and 15.0% of rows flag as outliers. The mean (499,468) sits far above Q3 (93,000), indicating a small number of very large entities dominate.","role":"feature","scope":"column","target":"Population","treatment":"Log-transform before any modelling or distance-based analysis."},{"confidence":"high","critiques":[],"evidence_keys":["n","n_unique","null_rate","stats.cardinality","stats.top_rate","stats.top_value","stats.entropy_ratio","top_values"],"model":"anthropic:claude-opus-4-7","narrative":"A 3-level categorical with no nulls across 16,382 rows, encoded as the strings \"1\", \"2\", and \"3\". Class \"1\" dominates at 53.1% (8,705 rows) and \"2\" is the minority at 1,360 rows, giving a moderately imbalanced distribution (entropy ratio 0.83). The numeric-string labels suggest an ordinal or coded category whose meaning is not self-evident from the values alone.","role":"feature","scope":"column","target":"Category","treatment":"One-hot or ordinal encode; consider class-imbalance handling if used as a target."},{"confidence":"high","critiques":[],"evidence_keys":["len_min","len_max","len_mean","one_word_rate","n_unique","duplicate_rate","top_values"],"model":"anthropic:claude-opus-4-7","narrative":"ROL3 holds three-letter ISO 639-3 language codes (every value is exactly 3 characters and one word), with hin, eng, and ben dominating. The distribution is heavily multilingual with 6,164 distinct codes across 16,382 rows and a 62.4% duplicate rate, plus 176 'xxx' entries that likely flag undetermined or missing language.","role":"feature","scope":"column","target":"ROL3","treatment":"Treat as a categorical language code; one-hot or target-encode top codes and bucket the long tail (including 'xxx') as 'other'."},{"confidence":"high","critiques":[],"evidence_keys":["n","n_unique","one_word_rate","word_mean","duplicate_rate","top_values","top_words","len_max"],"model":"anthropic:claude-opus-4-7","narrative":"Holds the primary language name for each record, predominantly single-token entries (one_word_rate 0.73, word_mean 1.32) with Hindi (682), English (424) and Bengali (366) leading. High duplicate_rate of 0.62 is expected for a categorical language label, but n_unique 6153 against 16382 rows suggests many compound or comma-separated multilingual entries (note 'arabic,' and 'punjabi,' in top_words). 176 rows are explicitly 'Language unknown', and lengths up to 45 chars confirm some multi-language strings.","role":"feature","scope":"column","target":"PrimaryLanguageName","treatment":"Normalize casing and split comma-separated entries into a multi-label categorical before encoding."},{"confidence":"high","critiques":[],"evidence_keys":["null_rate","n_unique","stats.cardinality","stats.entropy_ratio","stats.top_rate","stats.top_value","top_values"],"model":"anthropic:claude-opus-4-7","narrative":"This column records a primary language dialect per record, with 980 distinct values across 16,382 rows. It is 92.3% null, and even the most common value, 'Brazilian Portuguese', accounts for just 3.25% of non-nulls (41 occurrences); entropy ratio of 0.967 confirms an extremely flat, long-tailed distribution spanning dialects like Assyrian, Punjabi, Sinhalese, and Ta'izzi. The combination of sparse coverage and high cardinality limits its standalone modelling value.","role":"metadata","scope":"column","target":"PrimaryLanguageDialect","treatment":"Group into language families or a coarse bucket plus 'missing' indicator before encoding."},{"confidence":"high","critiques":[],"evidence_keys":["n","n_unique","null_rate","stats.min","stats.max","stats.median","stats.q1","stats.q3","stats.mean","stats.std","stats.skew","stats.kurtosis","stats.n_outliers","stats.outlier_rate"],"model":"anthropic:claude-opus-4-7","narrative":"Count of languages spoken, with 16382 non-null integer values ranging from 1 to 145 and a median of 1. The distribution is severely right-skewed (skew 7.44, kurtosis 83.76): Q1 and Q3 are both within [1,2], yet 2410 rows (14.7%) flag as outliers and the max of 145 is implausibly high for a person-level language count.","role":"feature","scope":"column","target":"NumberLanguagesSpoken","treatment":"Cap or log-transform before modelling, and investigate the 145 maximum for data-entry errors."},{"confidence":"high","critiques":[],"evidence_keys":["n","n_unique","null_rate","stats.cardinality","stats.entropy_ratio","stats.top_rate","stats.top_value","top_values"],"model":"anthropic:claude-opus-4-7","narrative":"OfficialLang is a categorical column listing the official language of each record, with 87 distinct values across 16,382 rows and almost no nulls (0.05%). English dominates at 22.4% (3,672), followed by Hindi (2,262) and French (1,478), giving a moderately concentrated distribution (entropy ratio 0.68). The presence of compound labels like 'Arabic, Standard' and 'Chinese, Mandarin' suggests a specific naming convention worth preserving when joining to language references.","role":"feature","scope":"column","target":"OfficialLang","treatment":"Group long tail and one-hot or target-encode the top categories before modelling."},{"confidence":"low","critiques":[],"evidence_keys":["alerts","n","null_rate","kind"],"model":"anthropic:claude-opus-4-7","narrative":"Column 'SpeakNationalLang' was skipped by the profiler, so no type inference, uniqueness count, or value statistics are available. The only confirmed signals are 16382 rows with a 0.0 null rate. The name suggests a flag or category indicating whether a respondent speaks the national language, but this cannot be verified from the evidence.","role":"other","scope":"column","target":"SpeakNationalLang","treatment":"Re-profile or manually inspect to determine type before any downstream use."},{"confidence":"high","critiques":[],"evidence_keys":["n","n_unique","null_rate","stats.min","stats.max","stats.mean","stats.median","stats.skew","stats.zero_rate","stats.q1","stats.q3"],"model":"anthropic:claude-opus-4-7","narrative":"BibleStatus is an integer-coded categorical with only 6 distinct values spanning 0 to 5 across 16,382 complete rows. The distribution is heavily left-skewed (skew -1.22) with a mean of 3.86 and median of 4, indicating most records cluster at the high end while about 4.8% sit at zero. Despite being stored as numeric, the small cardinality and bounded range suggest an ordinal status code rather than a true measurement.","role":"feature","scope":"column","target":"BibleStatus","treatment":"Treat as an ordinal category (one-hot or ordered encode) rather than a continuous numeric."},{"confidence":"high","critiques":[],"evidence_keys":["n","n_unique","null_rate","stats.top_value","stats.top_rate","stats.entropy_ratio","top_values","alerts"],"model":"anthropic:claude-opus-4-7","narrative":"BibleYear appears to encode a translation's publication or revision span, typically formatted as a start-end year range like \"1818-2022\", with single years (e.g. \"1954\") appearing as a minority pattern. Cardinality is high (466 distinct values across 16382 rows) and the most common range covers only 8.75% of records, giving a flat distribution (entropy ratio 0.776). Notably, 52.45% of values are null, which the alert flags and which will limit any direct use.","role":"metadata","scope":"column","target":"BibleYear","treatment":"Parse into separate start_year and end_year integer features and add a missingness indicator before modelling."},{"confidence":"medium","critiques":[],"evidence_keys":["n","n_unique","null_rate","stats.duplicate_rate","stats.one_word_rate","stats.len_median","stats.len_max","top_values"],"model":"anthropic:claude-opus-4-7","narrative":"NTYear appears to be a year-range metadata field (e.g. '1811-1998', '1380-2011') stored as short single-token strings, with 1072 unique values across 16382 rows. The column is messy: 30.47% null, 90.59% duplicate rate, and a sentinel value 'Yes' shows up 670 times alongside the date ranges, indicating mixed semantics. Lengths cluster tightly (median 9, max 9), consistent with a 'YYYY-YYYY' format for most non-sentinel entries.","role":"metadata","scope":"column","target":"NTYear","treatment":"Parse into start_year/end_year integer columns, isolate the 'Yes' sentinel into a separate flag, and impute or drop the 30% nulls."},{"confidence":"high","critiques":[],"evidence_keys":["n","n_unique","null_rate","stats.one_word_rate","stats.duplicate_rate","stats.len_max","stats.allcaps_rate","top_values"],"model":"anthropic:claude-opus-4-7","narrative":"PortionsYear appears to be a single-token field that mostly encodes year ranges (e.g. '1806-1962', '1530-1995') with strings up to 9 characters, but it is contaminated by a large 'Yes' bucket (1520 rows) that breaks the type. Nulls run at 17.92% and duplicate_rate is 0.87 across 1737 unique values out of 16382, so the column is highly repetitive. The mix of a boolean-like 'Yes' with hyphenated year spans suggests two different concepts were merged into one column.","role":"feature","scope":"column","target":"PortionsYear","treatment":"Split into two fields: parse year ranges into start/end integers and isolate the 'Yes' values into a separate boolean before modelling."},{"confidence":"low","critiques":[],"evidence_keys":["alerts","kind","n","n_unique","null_rate","stats"],"model":"anthropic:claude-opus-4-7","narrative":"Column 'TranslationNeedQuestionable' was skipped by the profiler, so its kind, cardinality and value distribution are unknown. The only confirmed signals are 16382 rows with a 0.0 null rate. The name suggests a boolean or flag indicating uncertainty about translation need, but this cannot be verified from the evidence.","role":"other","scope":"column","target":"TranslationNeedQuestionable","treatment":"Re-profile or inspect raw values before deciding on use; do not model until kind is resolved."},{"confidence":"high","critiques":[],"evidence_keys":["n","n_unique","null_rate","stats.min","stats.max","stats.mean","stats.median","stats.skew","stats.kurtosis","stats.q1","stats.q3","stats.n_outliers","stats.zero_rate"],"model":"anthropic:claude-opus-4-7","narrative":"JPScale is an integer-valued ordinal feature spanning 1 to 5 with only 5 unique values across 16382 rows and no nulls. The distribution is roughly flat (kurtosis -1.66, skew 0.19) with mean 2.68 and median 3, suggesting a Likert-style or category rating rather than a continuous measurement. No outliers and no zeros are present.","role":"feature","scope":"column","target":"JPScale","treatment":"Treat as an ordinal categorical (1-5) rather than continuous; one-hot or keep as ordered integer."},{"confidence":"high","critiques":[],"evidence_keys":["n","n_unique","null_rate","stats.cardinality","stats.entropy_ratio","stats.top_rate","stats.top_value","top_values"],"model":"anthropic:claude-opus-4-7","narrative":"JPScalePC is a 5-level categorical, almost certainly a Likert or ordinal scale (values \"1\" through \"5\") with no nulls across 16,382 rows. The distribution is bimodal at the extremes: \"5\" leads at 33.8% and \"1\" follows closely, while the middle codes \"2\" and \"3\" together account for far less, hinting at polarised responses rather than a normal spread. Entropy ratio of 0.86 confirms the spread is wide but not uniform.","role":"feature","scope":"column","target":"JPScalePC","treatment":"Treat as ordinal (1-5); keep as integer or one-hot depending on model."},{"confidence":"high","critiques":[],"evidence_keys":["n","n_unique","null_rate","stats.cardinality","stats.entropy_ratio","stats.top_rate","stats.top_value","top_values"],"model":"anthropic:claude-opus-4-7","narrative":"JPScalePGAC is a low-cardinality categorical with 5 distinct string-encoded levels ('1' through '5') across 16382 rows and no nulls, consistent with an ordinal scale (likely the Japanese JMA seismic intensity scale applied to PGA). The distribution is uneven: '1' dominates at 43.3% while '2' is the rarest at 908 rows, yet entropy ratio is high at 0.86 indicating the remaining mass is spread broadly. The non-monotonic frequency order (1 > 4 > 5 > 3 > 2) is worth flagging since a clean ordinal would typically taper.","role":"feature","scope":"column","target":"JPScalePGAC","treatment":"Treat as ordinal: cast to integer and preserve order, or one-hot encode if downstream model is non-ordinal."},{"confidence":"high","critiques":[],"evidence_keys":["n","n_unique","null_rate","stats.cardinality","stats.entropy_ratio","stats.top_rate","stats.top_value","top_values"],"model":"anthropic:claude-opus-4-7","narrative":"Binary Y/N flag named LeastReached, fully populated across 16382 rows with only 2 distinct values. The split is fairly balanced \u2014 'N' leads at 56.5% (9258) versus 7124 'Y' \u2014 yielding near-maximal entropy ratio of 0.988. No nulls or anomalies present.","role":"feature","scope":"column","target":"LeastReached","treatment":"Encode as a 0/1 boolean for modelling."},{"confidence":"high","critiques":[],"evidence_keys":["n","n_unique","null_rate","stats.cardinality","stats.top_value","stats.top_rate","stats.entropy_ratio","top_values"],"model":"anthropic:claude-opus-4-7","narrative":"A binary Y/N flag named LeastReachedPC, likely indicating whether some 'least reached' threshold or PC condition was met. The split is moderately imbalanced at 67.3% N versus the rest Y, with no nulls across 16,382 rows and entropy ratio 0.91 showing both classes are well represented.","role":"feature","scope":"column","target":"LeastReachedPC","treatment":"Encode as a 0/1 indicator for modelling."},{"confidence":"high","critiques":[],"evidence_keys":["n","n_unique","null_rate","stats.cardinality","stats.entropy_ratio","stats.top_rate","stats.top_value","top_values"],"model":"anthropic:claude-opus-4-7","narrative":"Binary Y/N flag indicating whether some 'LeastReachedPGAC' condition holds, with no missing values across 16382 rows. The split is fairly balanced \u2014 'N' leads at 56.7% (9291) versus 7091 'Y' \u2014 giving a near-maximal entropy ratio of 0.987.","role":"feature","scope":"column","target":"LeastReachedPGAC","treatment":"Encode as a 0/1 indicator for modelling."},{"confidence":"high","critiques":[],"evidence_keys":["n","n_unique","null_rate","stats.cardinality","stats.entropy_ratio","stats.top_rate","stats.top_value","top_values"],"model":"anthropic:claude-opus-4-7","narrative":"GSEC is a low-cardinality categorical with 8 distinct values across 16,382 rows and no nulls. The dominant value is the empty string at 40.0% (6,553 rows), followed by '1' at 4,852; the remaining codes ('0','2','3','4','5','6') split the rest, suggesting a coded classification where blanks likely encode 'not applicable' or missing-as-empty. Entropy ratio of 0.732 indicates moderate spread despite the empty-string plurality.","role":"feature","scope":"column","target":"GSEC","treatment":"Recode the empty string as an explicit missing category and one-hot encode the remaining codes."},{"confidence":"high","critiques":[],"evidence_keys":["n","n_unique","null_rate","stats.cardinality","stats.top_rate","stats.top_value","stats.entropy_ratio","top_values"],"model":"anthropic:claude-opus-4-7","narrative":"Binary Y/N flag indicating whether a record has associated audio recordings, fully populated across 16382 rows. The distribution is imbalanced: 'Y' covers 82.3% (13479) versus 2903 'N', with entropy ratio 0.67.","role":"feature","scope":"column","target":"HasAudioRecordings","treatment":"Encode as a 0/1 boolean indicator for modelling."},{"confidence":"high","critiques":[],"evidence_keys":["n_unique","null_rate","stats.cardinality","stats.top_rate","stats.top_value","stats.entropy","top_values"],"model":"anthropic:claude-opus-4-7","narrative":"NTOnline is a categorical flag with only one observed value, 'Y', across all 11,705 non-null rows. The remaining 28.55% of rows are null, so this column carries no discriminating signal \u2014 it is effectively a constant where present.","role":"feature","scope":"column","target":"NTOnline","treatment":"Drop; zero-variance column with high nullity."},{"confidence":"high","critiques":[],"evidence_keys":["n","n_unique","null_rate","stats.min","stats.max","stats.mean","stats.median","stats.q1","stats.q3","stats.iqr","stats.std","stats.skew","stats.kurtosis","stats.n_outliers","stats.zero_rate"],"model":"anthropic:claude-opus-4-7","narrative":"RLG3 is a small-integer ordinal feature ranging from 1 to 9 with only 8 distinct values across 16,382 rows and no nulls. The distribution is broad and flat (kurtosis -1.37, skew 0.13, IQR spanning 1 to 6) with mean 3.47 and median 4, and no outliers. The 8 unique values across a 1-9 range implies one integer in that span never occurs, which is worth confirming.","role":"feature","scope":"column","target":"RLG3","treatment":"Treat as an ordinal categorical (e.g., a Likert-style rating) rather than a continuous numeric."},{"confidence":"high","critiques":[],"evidence_keys":["n_unique","min","max","zero_rate","null_rate","kurtosis","iqr","q1","q3","mean","median","skew"],"model":"anthropic:claude-opus-4-7","narrative":"RLG3PC is an integer-valued numeric column with only 8 distinct values bounded between 1 and 9, no nulls, and no zeros. The flat distribution (kurtosis -1.47, IQR spanning 1 to 6) and small cardinality suggest this is an ordinal code or category rather than a continuous measurement. Mean 3.21 sits below the median's upper quartile, with mild positive skew (0.31).","role":"feature","scope":"column","target":"RLG3PC","treatment":"Treat as an ordinal category; one-hot or ordinal-encode rather than scaling as continuous."},{"confidence":"high","critiques":[],"evidence_keys":["n","n_unique","null_rate","stats.min","stats.max","stats.mean","stats.median","stats.std","stats.skew","stats.kurtosis","stats.q1","stats.q3","stats.iqr","stats.zero_rate","stats.n_outliers"],"model":"anthropic:claude-opus-4-7","narrative":"RLG3PGAC holds an integer code on a small 1-9 scale with only 8 distinct values across 16,382 rows and zero nulls. The distribution is broad and flat (kurtosis -1.36, std 2.25, IQR spanning 1 to 6) with near-zero skew, suggesting an ordinal category or rating rather than a true continuous measurement. No outliers and no zeros are present.","role":"feature","scope":"column","target":"RLG3PGAC","treatment":"Treat as an ordinal/categorical feature; one-hot or ordinal encode rather than scaling as continuous."},{"confidence":"high","critiques":[],"evidence_keys":["n","n_unique","null_rate","stats.cardinality","stats.entropy_ratio","stats.top_rate","stats.top_value","top_values"],"model":"anthropic:claude-opus-4-7","narrative":"PrimaryReligion is a low-cardinality categorical label assigning each of 16,382 rows to one of 8 religious traditions, with no nulls. Christianity dominates at 39.4% (6,459 rows), followed by Islam (3,786) and Ethnic Religions (2,651); the long tail includes 189 'Unknown' and 124 'Other / Small' rows. Entropy ratio of 0.74 indicates a moderately balanced distribution rather than a single overwhelming class.","role":"feature","scope":"column","target":"PrimaryReligion","treatment":"One-hot or target-encode; consider grouping 'Unknown' and 'Other / Small' if modelling sensitivity to rare classes."},{"confidence":"high","critiques":[],"evidence_keys":["n","n_unique","null_rate","stats.cardinality","stats.entropy_ratio","stats.top_rate","stats.top_value","top_values"],"model":"anthropic:claude-opus-4-7","narrative":"Categorical label of the dominant religion of a people-cluster (PC), with 8 distinct values and no nulls across 16,382 rows. Christianity leads at 47.6% (7,795), followed by Islam (3,658) and Hinduism (2,557), while a small 'Unknown' bucket (173) and 'Other / Small' (62) provide explicit catch-alls. Entropy ratio of 0.69 indicates moderate concentration rather than a single dominant class.","role":"feature","scope":"column","target":"PrimaryReligionPC","treatment":"One-hot or target-encode; consider merging 'Unknown' and 'Other / Small' if downstream model is sensitive to rare levels."},{"confidence":"high","critiques":[],"evidence_keys":["n","n_unique","null_rate","stats.cardinality","stats.entropy","stats.entropy_ratio","stats.top_rate","stats.top_value","top_values"],"model":"anthropic:claude-opus-4-7","narrative":"Categorical label of the primary religion of a People Group, Affinity, or Country (PGAC) record, drawn from a fixed taxonomy of 8 values with no nulls across 16,382 rows. Christianity dominates at 39.4% (6,462), followed by Islam (3,766), Ethnic Religions (2,613) and Hinduism (2,348); Buddhism, Non-Religious, Unknown and Other/Small together account for under 8% of rows. Entropy ratio of 0.748 indicates a moderately concentrated but not degenerate distribution.","role":"label","scope":"column","target":"PrimaryReligionPGAC","treatment":"One-hot or target-encode; consider grouping the small Unknown/Other tail before modelling."},{"confidence":"medium","critiques":[],"evidence_keys":["n","n_unique","null_rate","stats.min","stats.max","stats.median","stats.q1","stats.q3","stats.iqr","stats.mean","stats.std","stats.skew","stats.kurtosis","stats.n_outliers","stats.outlier_rate","stats.zero_rate"],"model":"anthropic:claude-opus-4-7","narrative":"RLG4 is a sparse integer-valued numeric feature with only 20 distinct values spanning 10 to 41, suggesting an ordinal score or count rather than a continuous measurement. It is overwhelmingly missing (null_rate 0.9621), so just under 4% of rows carry a value, and among those the distribution is right-skewed (skew 0.94) with 33 flagged outliers (outlier_rate 0.053). Center sits at median 20 with IQR 7, and no zeros are present.","role":"feature","scope":"column","target":"RLG4","treatment":"Add a missingness indicator and impute or bin the few observed values before modelling."},{"confidence":"high","critiques":[],"evidence_keys":["null_rate","n_unique","stats.top_value","stats.top_rate","stats.entropy_ratio","top_values"],"model":"anthropic:claude-opus-4-7","narrative":"A sub-categorisation of religion (e.g. Sunni/Shia branches, Buddhist schools, Judaism, Sikhism), populated only when a finer split applies. It is overwhelmingly null at 96.21%, so just 16382 rows carry one of 20 values, with Sunni leading at 29.15% of the populated rows. Entropy ratio 0.74 indicates the non-null portion is reasonably spread rather than dominated by a single bucket.","role":"feature","scope":"column","target":"ReligionSubdivision","treatment":"Treat nulls as an explicit 'not applicable' category before one-hot encoding."},{"confidence":"high","critiques":[],"evidence_keys":["min","max","mean","median","zero_rate","skew","n_outliers","outlier_rate","null_rate","n_unique","q1","q3","std"],"model":"anthropic:claude-opus-4-7","narrative":"PCIslam is a numeric column bounded between 0 and 100, almost certainly a percentage share of Muslim population (or similar Islam-related composition metric) per record. The distribution is heavily zero-inflated: 63.2% of values are exactly 0 and the median is 0, while the mean is 23.2 and values stretch all the way to 100, producing a right skew of 1.27 and 3,438 flagged outliers (21.1%). Nulls are negligible (0.52%) and 1,117 distinct values suggest reasonably fine-grained measurement rather than a coarse bucket.","role":"feature","scope":"column","target":"PCIslam","treatment":"Treat as a zero-inflated proportion: model the zero mass separately or add a presence indicator before scaling."},{"confidence":"high","critiques":[],"evidence_keys":["n","n_unique","null_rate","stats.min","stats.max","stats.mean","stats.median","stats.q1","stats.q3","stats.std","stats.skew","stats.kurtosis","stats.zero_rate","stats.outlier_rate","stats.n_outliers"],"model":"anthropic:claude-opus-4-7","narrative":"PCNonReligious appears to be a percentage feature capturing the share of a population that is non-religious, ranging from 0 to 99. The distribution is dominated by zeros (75.2% of rows) with median, Q1, and Q3 all at 0, yet the mean is 3.42 and skew is 3.65 with kurtosis 15.4, indicating a long right tail. Roughly 24.8% of values flag as outliers, suggesting a sparse signal where most records report none and a minority report substantial percentages.","role":"feature","scope":"column","target":"PCNonReligious","treatment":"Consider a zero-inflated treatment or log1p transform before modelling given the 75% zeros and heavy right tail."},{"confidence":"high","critiques":[],"evidence_keys":["n","n_unique","null_rate","stats.min","stats.max","stats.mean","stats.median","stats.q1","stats.q3","stats.std","stats.skew","stats.kurtosis","stats.zero_rate","stats.n_outliers","stats.outlier_rate"],"model":"anthropic:claude-opus-4-7","narrative":"PCUnknown is a numeric feature bounded between 0 and 100, almost certainly a percentage of items classified as 'unknown'. It is overwhelmingly zero (zero_rate 0.9558) with median, q1, and q3 all at 0, yet the max reaches 100 with skew 9.07 and kurtosis 81.5, producing 719 outliers (4.4%). The 583 distinct non-zero values form a long, heavy tail rather than a smooth distribution.","role":"feature","scope":"column","target":"PCUnknown","treatment":"Binarize (zero vs non-zero) or log1p-transform before modelling given the 95.6% zero mass and extreme skew."},{"confidence":"high","critiques":[],"evidence_keys":["n_unique","min","max","zero_rate","mean","median","kurtosis","skew","null_rate"],"model":"anthropic:claude-opus-4-7","narrative":"SecurityLevel takes only 3 distinct integer values spanning 0 to 2 with no nulls, so it is effectively an ordinal category encoded numerically (e.g., low/medium/high). The distribution is fairly flat with kurtosis -1.82 and zeros making up 38.8% of rows, while the mean of 1.10 and median of 1.0 suggest the three levels are reasonably balanced with a slight tilt toward the higher end.","role":"feature","scope":"column","target":"SecurityLevel","treatment":"Treat as an ordinal categorical and one-hot or ordinal-encode before modelling."},{"confidence":"high","critiques":[],"evidence_keys":["n","n_unique","null_rate","stats.top_rate","stats.top_value","stats.entropy","top_values"],"model":"anthropic:claude-opus-4-7","narrative":"Binary Y/N flag indicating membership in some 'LR Top 100' set, with only 100 positive cases out of 16,382 rows (top_rate 0.9939). Extreme class imbalance and very low entropy (0.0537) make this nearly constant. No nulls, exactly 2 categories as expected.","role":"label","scope":"column","target":"LRTop100","treatment":"Use stratified sampling or class-weighting if modelling; otherwise treat as rare-event indicator."},{"confidence":"high","critiques":[],"evidence_keys":["n","n_unique","null_rate","stats.duplicate_rate","stats.n_duplicates","stats.n_empty","stats.one_word_rate","stats.len_max","stats.word_mean","top_values"],"model":"anthropic:claude-opus-4-7","narrative":"PhotoAddress holds single-token image filenames in the pattern p#####.jpg, with a max length of 13 and exactly one word per row. 5,718 of 16,382 rows (~35%) are empty strings rather than nulls, and overall duplicate rate is 67.8% \u2014 the same photo file is reused across many records (e.g., p19007.jpg appears 92 times). With only 5,277 unique values, this behaves like a foreign-key reference to an image asset, not a per-row unique pointer.","role":"foreign_key","scope":"column","target":"PhotoAddress","treatment":"Treat empty strings as missing and join to an image/asset table on this filename rather than modelling it as text."},{"confidence":"high","critiques":[],"evidence_keys":["n","n_unique","null_rate","stats.duplicate_rate","stats.n_empty","stats.one_word_rate","stats.len_mean","stats.word_median","top_values","top_words"],"model":"anthropic:claude-opus-4-7","narrative":"Attribution string for a photo credit, mostly short names or sources (mean length 11.5 chars, median 1 word). Highly repetitive: 90.2% duplicate rate across only 1,605 unique values, with 5,718 empty entries and 3,065 'Anonymous' tags dominating. Top words reveal stock/CC sources like Flickr, Wikimedia, Pixabay, and Shutterstock alongside named contributors.","role":"metadata","scope":"column","target":"PhotoCredits","treatment":"Treat as low-cardinality categorical attribution; normalize empties/'Anonymous' and group rare credits before any analysis."},{"confidence":"high","critiques":[],"evidence_keys":["null_rate","n_unique","stats.url_rate","stats.one_word_rate","stats.duplicate_rate","stats.n_duplicates","stats.n_empty","top_values"],"model":"anthropic:claude-opus-4-7","narrative":"This column stores photo credit URLs, with every non-empty value being a single token (one_word_rate 1.0) and 47.5% matching a URL pattern. It is sparsely populated: 33.08% null and another 5,718 empty strings among the top values, while 86.9% of values are duplicates \u2014 a single domain, https://www.asiaharvest.org, accounts for 736 rows. Only 1,434 unique URLs serve 16,382 rows, suggesting a small set of recurring image sources rather than per-record attribution.","role":"metadata","scope":"column","target":"PhotoCreditURL","treatment":"Extract the domain as a categorical feature and drop the raw URL; do not use as a modelling input."},{"confidence":"high","critiques":[],"evidence_keys":["n","n_unique","null_rate","stats.top_rate","stats.top_value","top_values"],"model":"anthropic:claude-opus-4-7","narrative":"A binary Y/N flag indicating whether a photo carries a Creative Commons licence. The column is heavily skewed: 'N' covers 83.6% of the 16382 rows while 'Y' accounts for 2691, with a near-zero null rate of 0.0003.","role":"feature","scope":"column","target":"PhotoCreativeCommons","treatment":"Encode as a 0/1 boolean; expect class imbalance if used as a target."},{"confidence":"high","critiques":[],"evidence_keys":["n","n_unique","null_rate","stats.top_rate","stats.top_value","stats.entropy_ratio","top_values"],"model":"anthropic:claude-opus-4-7","narrative":"Binary Y/N flag indicating whether a photo copyright applies, with 'N' dominating at 87.95% of 16,382 rows versus 1,972 'Y' values. Class imbalance is notable but not extreme, and nulls are negligible at 0.09%. Entropy ratio of 0.53 reflects this skew toward 'N'.","role":"feature","scope":"column","target":"PhotoCopyright","treatment":"Encode as a 0/1 boolean; be aware of the ~1:7 class imbalance if used as a target."},{"confidence":"high","critiques":[],"evidence_keys":["n","n_unique","null_rate","stats.top_value","stats.top_rate","stats.entropy_ratio","top_values"],"model":"anthropic:claude-opus-4-7","narrative":"A consent flag for photo use, encoded as Y/N with 87.1% of 16382 rows set to 'N' and only 0.1% null. Cardinality is 3 because two records use lowercase 'y' alongside 2111 uppercase 'Y', a casing inconsistency worth normalising. Entropy ratio of 0.35 confirms the heavy skew toward refusal.","role":"feature","scope":"column","target":"PhotoPermission","treatment":"Uppercase-normalise then map to a boolean before modelling."},{"confidence":"high","critiques":[],"evidence_keys":["n","n_unique","null_rate","stats.top_rate","stats.top_value","stats.entropy_ratio","top_values"],"model":"anthropic:claude-opus-4-7","narrative":"Binary Y/N flag indicating whether a profile has text, with no nulls across 16382 rows. Roughly 79.5% are 'Y' (13018) versus 'N' (3364), an imbalance worth noting but not extreme. Entropy ratio of 0.73 confirms a moderately skewed but informative distribution.","role":"feature","scope":"column","target":"ProfileTextExists","treatment":"Encode as a 0/1 boolean for modelling."},{"confidence":"high","critiques":[],"evidence_keys":["stats.min","stats.max","stats.median","stats.q3","stats.skew","stats.kurtosis","stats.outlier_rate","stats.n_outliers","n_unique"],"model":"anthropic:claude-opus-4-7","narrative":"Counts the number of countries associated with each record, ranging from 1 to 164 with a median of 1 and Q3 of just 4. The distribution is severely right-skewed (skew 5.15, kurtosis 32.05) and 19.2% of rows flag as outliers, indicating a long tail where a small set of records span dozens or hundreds of countries while most cover only one.","role":"feature","scope":"column","target":"CountOfCountries","treatment":"Log-transform or bin (e.g. 1, 2-4, 5+) before modelling to tame the heavy tail."},{"confidence":"low","critiques":[],"evidence_keys":["alerts","n","null_rate","kind"],"model":"anthropic:claude-opus-4-7","narrative":"The column 'CountOfProvinces' was skipped by the profiler, so beyond a row count of 16382 and a null rate of 0.0 there is no evidence about its distribution, type, or uniqueness. The name suggests an integer count of provinces per record, but this cannot be confirmed from the payload. No further signal is available.","role":"other","scope":"column","target":"CountOfProvinces","treatment":"Re-run the profiler on this column to recover type and distribution before any downstream use."},{"confidence":"high","critiques":[],"evidence_keys":["max","min","mean","median","skew","kurtosis","n_outliers","outlier_rate","q1","q3","n_unique","null_rate"],"model":"anthropic:claude-opus-4-7","narrative":"This is a Longitude coordinate column, but the values are corrupted: valid longitudes must lie within [-180, 180], yet the max is 2350588.0 and the mean (189.33) already exceeds the legal range. Skew of 127.98 and kurtosis of 16376.52 confirm extreme outlier contamination, with 207 flagged outliers (1.26%). The median of 55.45 is plausible, so most rows are likely valid, but a small set of malformed entries is dominating the distribution.","role":"feature","scope":"column","target":"Longitude","treatment":"Clip or drop rows outside [-180, 180] before any geospatial use."},{"confidence":"high","critiques":[],"evidence_keys":["min","max","mean","median","skew","kurtosis","n","n_unique","null_rate","n_outliers","q1","q3","std"],"model":"anthropic:claude-opus-4-7","narrative":"Geographic latitude in decimal degrees, with values spanning -54.94 to 78.21 \u2014 well within the valid [-90, 90] range. Distribution is nearly symmetric (skew -0.12) and slightly flat (kurtosis -0.26), centered around a median of 17.03 and mean of 16.44, suggesting a tropical/northern-hemisphere bias. Near-unique (15851 of 16382) with no nulls and only 39 mild outliers, consistent with per-record geocoordinates rather than a categorical region label.","role":"feature","scope":"column","target":"Latitude","treatment":"Pair with longitude for geospatial features; consider binning by hemisphere or clustering rather than using raw degrees in linear models."},{"confidence":"high","critiques":[],"evidence_keys":["n","n_unique","null_rate","stats.top_value","stats.top_rate","stats.entropy_ratio","top_values"],"model":"anthropic:claude-opus-4-7","narrative":"Country names stored as full strings, with 238 distinct values across 16,382 rows and no nulls. India dominates at 13.8% (2,262 rows), followed by Papua New Guinea (883) and Indonesia (788) \u2014 a notable skew toward South/Southeast Asia rather than the typical US-heavy distribution. Entropy ratio of 0.79 indicates fairly broad spread despite the long tail.","role":"feature","scope":"column","target":"Ctry","treatment":"Group long-tail countries or target/frequency-encode before modelling."},{"confidence":"high","critiques":[],"evidence_keys":["n","n_unique","null_rate","stats.cardinality","stats.top_rate","stats.top_value","stats.entropy","top_values"],"model":"anthropic:claude-opus-4-7","narrative":"IndigenousCode is a binary Y/N flag, fully populated across all 16,382 rows with only 2 distinct values. The class split is uneven: 'Y' covers 74.8% of records against 'N' for the remainder, yielding entropy of 0.81. The imbalance is notable but not extreme.","role":"feature","scope":"column","target":"IndigenousCode","treatment":"Encode as a binary indicator; consider class imbalance if used as a target."},{"confidence":"high","critiques":[],"evidence_keys":["n","n_unique","null_rate","stats.duplicate_rate","stats.len_max","stats.len_min","stats.one_word_rate","top_values"],"model":"anthropic:claude-opus-4-7","narrative":"This is a numeric percentage field (PercentAdherents) stored as text, with all 16382 values being single tokens of length 5-7 like '0.000' or '95.000'. The distribution is heavily concentrated at zero (4007 of 16382 rows) and shows strong duplication (duplicate_rate 0.924, only 1248 unique values). Despite the 'allcaps' and 'one_word' alerts, these are just numeric strings, not categorical text.","role":"feature","scope":"column","target":"PercentAdherents","treatment":"Cast to float and treat as a numeric feature; consider zero-inflation handling given the spike at 0.000."},{"confidence":"high","critiques":[],"evidence_keys":["n","n_unique","null_rate","stats.cardinality","stats.entropy_ratio","stats.top_rate","stats.top_value","top_values"],"model":"anthropic:claude-opus-4-7","narrative":"Stored as a categorical string, this column appears to be a per-country (or per-region) percentage of Christians, with 246 distinct values across 16,382 rows and no nulls. The distribution is highly repetitive: the modal value '90.061' covers 6.95% of rows and the top ten values include both very high shares (90.061, 82.325, 76.515) and near-zero shares (0.482, 0.111, 0.000), suggesting a small set of country-level percentages broadcast onto many rows. Entropy ratio of 0.86 indicates the values are fairly evenly spread across the 246 categories despite the heavy mode.","role":"feature","scope":"column","target":"PercentChristianPC","treatment":"Cast to float and treat as a numeric feature rather than a category."},{"confidence":"high","critiques":[],"evidence_keys":["n","n_unique","one_word_rate","len_mean","word_mean","duplicate_rate","n_duplicates","top_values","top_words"],"model":"anthropic:claude-opus-4-7","narrative":"NaturalName appears to be a people-group or ethno-linguistic label, dominated by single-word entries (one_word_rate 0.555) and short strings (len_mean 10.9, word_mean 1.59). Roughly a third of rows repeat (duplicate_rate 0.344, 5645 duplicates across 10737 uniques), with 'Deaf' (164), 'French' (82), and 'British' (80) leading. Top words expose unclosed parenthetical qualifiers like 'traditions)', '(hindu', '(muslim' occurring 500-1000+ times, suggesting tokenisation broke compound names such as 'X (Hindu traditions)'.","role":"label","scope":"column","target":"NaturalName","treatment":"Normalise casing and repair the parenthetical qualifier splits before using as a categorical grouping key."},{"confidence":"high","critiques":[],"evidence_keys":["null_rate","n_unique","stats.duplicate_rate","stats.one_word_rate","stats.word_mean","stats.len_mean","top_values","top_words"],"model":"anthropic:claude-opus-4-7","narrative":"This column holds phonetic respellings of ethnic or demographic labels (e.g. 'AY-zhun', 'chai-NEEZ', 'kor-EE-un'), with hyphenated syllables and capitalised stress markers indicating an ad-hoc pronunciation guide. It is overwhelmingly sparse and repetitive: 69.63% null, 69.41% one-word entries, and 61.15% duplicates across only 1,933 unique values out of 16,382 rows. The token 'def' appears 164 times as the most frequent value, which looks like a placeholder or default rather than a pronunciation.","role":"metadata","scope":"column","target":"NaturalPronunciation","treatment":"Treat as a categorical pronunciation lookup keyed to an ethnicity label; investigate the 'def' placeholder and impute or drop given the 69.63% null rate."},{"confidence":"high","critiques":[],"evidence_keys":["n","n_unique","null_rate","stats.duplicate_rate","stats.len_max","stats.len_min","stats.one_word_rate","top_values"],"model":"anthropic:claude-opus-4-7","narrative":"This column holds percentages (likely Christian population share, per the PGAC suffix) stored as text rather than numeric, with values like \"0.000\", \"95.000\", \"90.000\" filling lengths of 5-7 characters. The distribution is heavily zero-inflated: 3,121 of 16,382 rows are \"0.000\" and the duplicate rate is 88%, leaving only 1,954 unique values. Flagged as allcaps/one-word only because the profiler treated numeric strings as tokens.","role":"feature","scope":"column","target":"PercentChristianPGAC","treatment":"Cast to float and treat as a numeric percentage feature."},{"confidence":"high","critiques":[],"evidence_keys":["kind","n","n_unique","null_rate","stats.duplicate_rate","stats.one_word_rate","stats.len_min","stats.len_max","top_values"],"model":"anthropic:claude-opus-4-7","narrative":"This is a numeric percentage (share evangelical) stored as text strings like '0.000' to '6.000', with values ranging 5-6 characters long and one token each. The distribution is heavily zero-inflated: 4205 of 16382 rows are '0.000', and the duplicate rate is 0.9315 across only 1047 unique values. Null rate is 0.0668, so roughly 7% are missing.","role":"feature","scope":"column","target":"PercentEvangelical","treatment":"Cast to float and treat as a zero-inflated numeric feature."},{"confidence":"high","critiques":[],"evidence_keys":["n","n_unique","null_rate","stats.cardinality","stats.entropy_ratio","stats.top_rate","stats.top_value","top_values"],"model":"anthropic:claude-opus-4-7","narrative":"Numeric percentages (0.000 to 28.097) describing evangelical share, but stored as strings with only 228 distinct values across 16,382 rows \u2014 suggesting a precomputed per-group statistic broadcast to many records rather than a per-row measurement. The top value '20.481' covers 7.0% of rows and the top ten values together account for a large fraction, consistent with repeated group-level imputation. Entropy ratio is 0.87, so distribution is fairly spread but discretised.","role":"feature","scope":"column","target":"PercentEvangelicalPC","treatment":"Cast to float and treat as a group-level numeric feature; do not one-hot encode."},{"confidence":"high","critiques":[],"evidence_keys":["kind","n","n_unique","null_rate","stats.duplicate_rate","stats.len_min","stats.len_max","stats.one_word_rate","top_values"],"model":"anthropic:claude-opus-4-7","narrative":"This is a numeric percentage (Percent Evangelical, PGAC) stored as text \u2014 every value is a single token of 5-6 characters formatted like '0.000', '4.000', '1.801'. The distribution is heavily zero-inflated: 3,272 of 16,382 rows are '0.000', duplicate rate is 0.896 across only 1,624 unique values, and 4.5% are null. Despite the column being typed as text, there is no real language content here.","role":"feature","scope":"column","target":"PercentEvangelicalPGAC","treatment":"Cast to float and treat as a zero-inflated numeric feature."},{"confidence":"high","critiques":[],"evidence_keys":["n","n_unique","null_rate","stats.min","stats.max","stats.mean","stats.median","stats.q1","stats.q3","stats.iqr","stats.std","stats.skew","stats.kurtosis","stats.zero_rate","stats.outlier_rate","stats.n_outliers"],"model":"anthropic:claude-opus-4-7","narrative":"PCBuddhism appears to be a per-record percentage feature for Buddhist composition, ranging 0\u2013100 with mean 3.77 and median 0. The distribution is overwhelmingly zero (zero_rate 0.89) with q1=q3=0 and iqr=0, yet ~11% of rows are outliers and skew (4.77) and kurtosis (21.99) are extreme. Treat this as a sparse, heavy-tailed minority share where most populations have no Buddhist presence but a long tail reaches 100.","role":"feature","scope":"column","target":"PCBuddhism","treatment":"Add a zero-vs-nonzero indicator and log1p-transform the nonzero share before modelling."},{"confidence":"high","critiques":[],"evidence_keys":["zero_rate","median","q1","q3","max","skew","n_outliers","outlier_rate","std","mean"],"model":"anthropic:claude-opus-4-7","narrative":"PCEthnicReligions appears to be a percentage feature (0\u2013100) capturing the share of ethnic/folk religion adherents per record. Just over half the rows are exactly zero (zero_rate 0.5045) and the median and Q1 are both 0, yet values stretch all the way to 100, producing strong right skew (1.65) and 1,967 flagged outliers (12.05%). The distribution is effectively zero-inflated rather than continuous.","role":"feature","scope":"column","target":"PCEthnicReligions","treatment":"Model as zero-inflated: add an is_nonzero indicator and log1p-transform the positive values."},{"confidence":"high","critiques":[],"evidence_keys":["stats.min","stats.max","stats.mean","stats.median","stats.std","stats.q1","stats.q3","stats.skew","stats.kurtosis","stats.zero_rate","stats.outlier_rate","stats.n_outliers","null_rate","n_unique"],"model":"anthropic:claude-opus-4-7","narrative":"PCHinduism appears to be a per-record percentage share of Hinduism (0\u2013100), with max 100.0 and min 0.0. The distribution is overwhelmingly zero (zero_rate 0.8343) so Q1, median, and Q3 are all 0.0, yet the mean is 14.01 with std 33.87, indicating a small minority of records carry very high values. Skew 2.06 and 16.57% flagged outliers confirm a heavy right tail rather than dirty data.","role":"feature","scope":"column","target":"PCHinduism","treatment":"Treat as zero-inflated proportion: add a nonzero indicator and consider a log1p or sqrt transform before modelling."},{"confidence":"high","critiques":[],"evidence_keys":["zero_rate","median","q1","q3","skew","kurtosis","max","outlier_rate","n_outliers","std","mean"],"model":"anthropic:claude-opus-4-7","narrative":"PCOtherSmall is a numeric feature that appears to capture a small-share or percentage-like quantity, with 89.3% of values exactly zero and a median/Q1/Q3 all at 0.0. The remaining mass is highly skewed (skew 11.0, kurtosis 124.0) with a max of 100.0 and 10.7% flagged as outliers, suggesting a sparse long-tailed distribution rather than a typical continuous feature.","role":"feature","scope":"column","target":"PCOtherSmall","treatment":"Treat as zero-inflated: add a binary is_nonzero flag and log1p-transform the positive tail before modelling."},{"confidence":"high","critiques":[],"evidence_keys":["n","n_unique","null_rate","stats.min","stats.max","stats.skew","stats.kurtosis","stats.n_outliers"],"model":"anthropic:claude-opus-4-7","narrative":"RegionCode is an integer-valued field ranging from 1 to 12 with only 12 unique values across 16382 rows and no nulls. The flat distribution (kurtosis -1.20, skew 0.23, no outliers) and small cardinality indicate a categorical region identifier encoded numerically rather than a true numeric measure.","role":"feature","scope":"column","target":"RegionCode","treatment":"Cast to categorical and one-hot or target-encode before modelling."},{"confidence":"high","critiques":[],"evidence_keys":["n","n_unique","null_rate","stats.min","stats.max","stats.mean","stats.median","stats.q1","stats.q3","stats.skew","stats.kurtosis","stats.outlier_rate","stats.zero_rate"],"model":"anthropic:claude-opus-4-7","narrative":"PopulationPGAC is a numeric population-like measure spanning 10 to 925,129,800 with a median of just 88,000, suggesting counts of people across geographic units of wildly varying scale (towns up through country-sized aggregates). The distribution is extremely right-skewed (skew 15.15, kurtosis 262.66) and 19.2% of rows flag as outliers, with the mean (8.8M) two orders of magnitude above the median. Nulls are negligible (0.09%) and there are no zeros, but the spread between Q3 (1.39M) and the max indicates a long heavy tail of very large entities.","role":"feature","scope":"column","target":"PopulationPGAC","treatment":"log-transform before any modelling or distance-based comparison."},{"confidence":"high","critiques":[],"evidence_keys":["n","n_unique","null_rate","stats.top_rate","stats.top_value","stats.entropy_ratio","top_values"],"model":"anthropic:claude-opus-4-7","narrative":"Binary Y/N flag named 'Frontier', fully populated across 16382 rows with only 2 distinct values. The 'N' class dominates at 70.9% versus 29.1% 'Y', giving an entropy ratio of 0.87 \u2014 moderately imbalanced but well within usable range.","role":"feature","scope":"column","target":"Frontier","treatment":"Encode as 0/1 boolean and use directly as a feature."},{"confidence":"high","critiques":[],"evidence_keys":["n","n_unique","stats.duplicate_rate","stats.n_duplicates","stats.n_empty","stats.one_word_rate","stats.len_max","stats.word_mean","top_values"],"model":"anthropic:claude-opus-4-7","narrative":"MapAddress holds single-token PNG filenames (e.g. m00320.png), almost certainly references to map image assets. Over half the column is empty (8728 of 16382 rows) and 63.2% are duplicates, with only 6029 distinct values across 16382 rows. Every non-empty value is one word with max length 13, so this behaves like a sparse foreign key to a map asset rather than free text.","role":"foreign_key","scope":"column","target":"MapAddress","treatment":"Treat as a categorical asset reference; impute empties as 'none' and join to the map asset table."},{"confidence":"high","critiques":[],"evidence_keys":["n","n_unique","null_rate","stats.cardinality","stats.top_rate","stats.top_value","stats.entropy_ratio","top_values"],"model":"anthropic:claude-opus-4-7","narrative":"Binary Y/N flag indicating whether the JESUS Film is available for each record, with no nulls across 16,382 rows. The split is roughly 2:1 in favour of 'Y' (10,816 vs 5,566; top_rate 0.660), giving a high entropy ratio of 0.925 \u2014 informative but mildly imbalanced.","role":"feature","scope":"column","target":"HasJesusFilm","treatment":"Encode as a 0/1 boolean for modelling."},{"confidence":"high","critiques":[],"evidence_keys":["n","n_unique","null_rate","stats.top_rate","stats.top_value","stats.entropy_ratio","top_values"],"model":"anthropic:claude-opus-4-7","narrative":"Binary Y/N flag indicating whether a record is 'Nomadic', with no nulls across 16382 rows. The distribution is severely imbalanced: 'N' covers 98.1% (16071) versus only 311 'Y' cases, yielding an entropy ratio of just 0.136.","role":"feature","scope":"column","target":"Nomadic","treatment":"Encode as a boolean; consider class-weighting or resampling since positives are only ~1.9%."},{"confidence":"high","critiques":[],"evidence_keys":["null_rate","n","n_unique","stats.top_value","stats.top_rate","stats.entropy_ratio","top_values"],"model":"anthropic:claude-opus-4-7","narrative":"Categorical descriptor of nomadic livelihood type, with six values combining three base categories (Agro-Pastoralists, Service or Trade, Hunter-Gatherers) singly or in pairs. The column is 98.1% null, populated for only ~311 of 16,382 rows, and among those Agro-Pastoralists dominates at 68.2% of non-nulls. The sparsity makes this effectively a rare annotation rather than a general feature.","role":"metadata","scope":"column","target":"NomadicTypeDescription","treatment":"Treat as sparse metadata; impute a 'Unknown' category or drop unless modelling the populated subset."},{"confidence":"high","critiques":[],"evidence_keys":["n","n_unique","null_rate","stats.top_rate","stats.top_value","stats.entropy_ratio","top_values"],"model":"anthropic:claude-opus-4-7","narrative":"This column records the Creative Commons license version attached to a photo, with 17 distinct values across 16,382 rows and no nulls. It is dominated by empty strings at 83.6% (13,688 rows), leaving only ~16% with an actual license tag \u2014 the most common being 'CC BY 2.0' (661) and 'CC BY-NC-SA 2.0' (440). Low entropy ratio (0.28) confirms the field is sparse in practice despite zero technical nulls.","role":"metadata","scope":"column","target":"PhotoCCVersionText","treatment":"Treat empty string as missing and one-hot encode the remaining license categories."},{"confidence":"high","critiques":[],"evidence_keys":["n","n_unique","null_rate","stats.cardinality","stats.entropy_ratio","stats.top_rate","stats.top_value","top_values"],"model":"anthropic:claude-opus-4-7","narrative":"This column holds Creative Commons license URLs associated with photos, drawn from a closed vocabulary of 17 distinct values. It is overwhelmingly empty: 13,688 of 16,382 rows (top_rate 0.836) carry the blank string rather than a license, leaving CC BY 2.0 (661) and CC BY-NC-SA 2.0 (440) as the most common actual licenses. Entropy ratio of 0.278 confirms the distribution is highly concentrated on the empty value.","role":"metadata","scope":"column","target":"PhotoCCVersionURL","treatment":"Treat blank as missing and bucket the remaining license URLs into a low-cardinality categorical."},{"confidence":"high","critiques":[],"evidence_keys":["n","n_unique","null_rate","stats.top_rate","stats.top_value","stats.entropy_ratio","top_values","alerts"],"model":"anthropic:claude-opus-4-7","narrative":"Attribution string for the map asset associated with each record, naming data, geography, and design contributors. Over half the rows (top_rate 0.533, 8,733 of 16,382) carry an empty string, and the remaining mass is spread across 199 near-duplicate credit lines \u2014 note for example two variants of the Omid/UNESCO/GMI credit differing only by a trailing period (2,228 vs 864). Entropy ratio of 0.357 and the long_tail alert confirm a few dominant phrasings plus a sparse tail.","role":"metadata","scope":"column","target":"MapCredits","treatment":"Treat as provenance metadata; normalize whitespace/punctuation to collapse duplicate credit strings, and exclude from modelling."},{"confidence":"high","critiques":[],"evidence_keys":["n","n_unique","null_rate","stats.top_rate","stats.top_value","stats.entropy_ratio","top_values"],"model":"anthropic:claude-opus-4-7","narrative":"Optional attribution URL for the source map of each record, blank in 15891 of 16382 rows (top_rate 0.97). Only 51 distinct values populate the remaining 3%, dominated by asiaharvest.org (146) and cartomission.com (117), giving a very low entropy_ratio of 0.052. The mix of http URLs and a mailto: address suggests inconsistent data entry rather than a controlled vocabulary.","role":"metadata","scope":"column","target":"MapCreditURL","treatment":"Drop from modelling; retain only as a provenance link for the ~3% of rows that carry a value."},{"confidence":"high","critiques":[],"evidence_keys":["n","n_unique","null_rate","stats.top_value","stats.top_rate","stats.entropy_ratio","top_values"],"model":"anthropic:claude-opus-4-7","narrative":"A near-binary flag (with blanks) indicating map copyright status, dominated by 'N' at 86.5% of 16,382 rows. Only 118 records carry 'Y' and 2,100 are empty strings, giving just 3 distinct values and an entropy ratio of 0.387. The empty category is large enough that it should be treated as its own level rather than silently coerced.","role":"feature","scope":"column","target":"MapCopyright","treatment":"Encode as a 3-level categorical (N / Y / blank); low signal due to severe imbalance."},{"confidence":"high","critiques":[],"evidence_keys":["n","n_unique","null_rate","stats.top_rate","stats.top_value","stats.entropy_ratio","top_values"],"model":"anthropic:claude-opus-4-7","narrative":"This column records Creative Commons licence versions for map content, but 16347 of 16382 rows (top_rate 0.9979) are empty strings, leaving only 35 rows spread across five actual licences (CC0 1.0, CC BY-SA 3.0, CC BY 3.0, CC BY 2.0, CC BY-SA 4.0). Entropy ratio of 0.0099 confirms the column carries almost no information. Note that nulls are reported as 0.0 because the missing values are stored as empty strings rather than true nulls.","role":"metadata","scope":"column","target":"MapCCVersionText","treatment":"Drop or collapse to a binary has_licence flag; too sparse to use as a feature."},{"confidence":"high","critiques":[],"evidence_keys":["n","n_unique","null_rate","stats.top_rate","stats.top_value","stats.entropy_ratio","top_values"],"model":"anthropic:claude-opus-4-7","narrative":"MapCCVersionURL appears to be a Creative Commons license URL field attached to map records, with five distinct CC variants observed (CC0, BY-SA 3.0/4.0, BY 2.0/3.0). It is effectively empty: 16,347 of 16,382 rows (top_rate 0.9979) are blank strings, leaving only 35 rows with an actual license URL and entropy_ratio of 0.0099. Null_rate is reported as 0.0 because empties are stored as '' rather than nulls, which is itself worth flagging.","role":"metadata","scope":"column","target":"MapCCVersionURL","treatment":"Drop or collapse to a binary has_license flag; near-constant empty string."},{"confidence":"high","critiques":[],"evidence_keys":["n","n_unique","null_rate","stats.cardinality","stats.top_rate","stats.top_value","stats.entropy_ratio","top_values"],"model":"anthropic:claude-opus-4-7","narrative":"JF is a binary Y/N flag with no nulls across 16382 rows. The split is moderately imbalanced, with Y dominating at 66.0% (10816) versus N at 34.0% (5566), yielding a high entropy ratio of 0.925.","role":"feature","scope":"column","target":"JF","treatment":"Encode as a 0/1 indicator before modelling."},{"confidence":"high","critiques":[],"evidence_keys":["cardinality","top_value","top_rate","top_values","null_rate","n","entropy_ratio"],"model":"anthropic:claude-opus-4-7","narrative":"Binary Y/N flag indicating whether audio recordings are present, with no nulls across 16,382 rows. The distribution is imbalanced: 'Y' dominates at 82.3% (13,479) versus 2,903 'N' values, yielding an entropy ratio of 0.67.","role":"feature","scope":"column","target":"AudioRecordings","treatment":"Encode as a 0/1 boolean; be aware of the ~82/18 class imbalance when using as a predictor."},{"confidence":"high","critiques":[],"evidence_keys":["n","n_unique","null_rate","stats.cardinality","stats.entropy_ratio","stats.top_rate","stats.top_value","top_values"],"model":"anthropic:claude-opus-4-7","narrative":"Window1040 is a binary Y/N flag covering all 16382 rows with no nulls. The split is nearly even (Y at 52.3%, N at 7810 occurrences), giving an entropy ratio of 0.998 \u2014 essentially maximum uncertainty for a two-class field. Without column context the meaning is opaque, but the balanced distribution makes it a usable feature rather than a degenerate constant.","role":"feature","scope":"column","target":"Window1040","treatment":"Encode as a 0/1 indicator for modelling."},{"confidence":"high","critiques":[],"evidence_keys":["n","n_unique","n_empty","duplicate_rate","url_rate","one_word_rate","top_values","len_max"],"model":"anthropic:claude-opus-4-7","narrative":"This column holds URLs to people-group map images hosted on joshuaproject.net, with every non-empty entry being a single token link. Over half the rows (8,728 of 16,382) are empty strings, and among the rest the same map URLs recur heavily \u2014 duplicate_rate is 0.63 and only 6,029 unique values exist across 16,382 rows. The url_rate of 0.47 reflects that empties dominate the remainder.","role":"metadata","scope":"column","target":"PeopleGroupMapURL","treatment":"Treat as an optional asset URL: keep as-is for display, or drop if not rendering images."},{"confidence":"high","critiques":[],"evidence_keys":["n","n_unique","null_rate","stats.len_median","stats.url_rate","stats.duplicate_rate","stats.n_empty","stats.n_duplicates","stats.one_word_rate","top_values"],"model":"anthropic:claude-opus-4-7","narrative":"This column holds URLs to expanded people-group map PDFs hosted on joshuaproject.net, one link per row. It's mostly empty: 9,538 of 16,382 rows (the modal value) are blank, which is why len_median is 0 and url_rate is only 0.418. Among populated rows there is heavy reuse \u2014 duplicate_rate is 0.661 and a single map (m00320.pdf) appears 96 times \u2014 indicating many people-group records share the same regional map.","role":"metadata","scope":"column","target":"PeopleGroupMapExpandedURL","treatment":"Treat as an optional reference link; drop for modelling or keep only as a join key to map assets."},{"confidence":"high","critiques":[],"evidence_keys":["n","n_unique","null_rate","stats.len_min","stats.len_max","stats.len_mean","stats.url_rate","stats.one_word_rate","stats.duplicate_rate","stats.vocab_size","top_words"],"model":"anthropic:claude-opus-4-7","narrative":"This column holds Joshua Project people-group URLs, one per row, with a perfectly fixed length of 48 characters and exactly one 'word' per cell. Every value is unique across all 16382 rows (n_unique equals n, duplicate_rate 0.0) and url_rate is 1.0, so it functions as a row-level identifier rather than analysable text. The URL pattern encodes a numeric people-group id plus a two-letter country suffix (e.g. /10375/tz, /10375/up), meaning the same group repeats across countries via different URLs.","role":"identifier","scope":"column","target":"PeopleGroupURL","treatment":"Drop from modelling; keep as a row key or parse out the people-group id and country code if a join is needed."},{"confidence":"high","critiques":[],"evidence_keys":["n","n_unique","stats.duplicate_rate","stats.n_duplicates","stats.n_empty","stats.url_rate","stats.one_word_rate","top_values"],"model":"anthropic:claude-opus-4-7","narrative":"This column holds URLs to people-group profile photos hosted on joshuaproject.net, with every non-empty value being a single token (one_word_rate 1.0, url_rate 0.65). Notably, 5719 of 16382 rows are empty strings and duplicates dominate the rest (n_duplicates 11105, duplicate_rate 0.68) \u2014 only 5277 unique URLs serve 16382 rows, meaning many groups share the same photo. The top URL alone repeats 92 times.","role":"metadata","scope":"column","target":"PeopleGroupPhotoURL","treatment":"Treat as an optional image asset link; drop for modelling or use only to fetch images, and handle the 5719 empty values as missing."},{"confidence":"high","critiques":[],"evidence_keys":["n","n_unique","null_rate","stats.cardinality","stats.entropy_ratio","stats.top_rate","stats.top_value","top_values"],"model":"anthropic:claude-opus-4-7","narrative":"URL pointing to a country page on joshuaproject.net, with the trailing two-letter code acting as the country identifier. 238 distinct countries appear across 16,382 rows with no nulls, and India (IN) dominates at 13.8% (2,262 rows) followed by PP (883) and ID (788). High entropy ratio (0.79) indicates the distribution is broad rather than concentrated despite the India lead.","role":"metadata","scope":"column","target":"CountryURL","treatment":"Strip the URL prefix and keep the two-letter country code as a categorical feature."},{"confidence":"high","critiques":[],"evidence_keys":["n","n_unique","null_rate","stats.cardinality","stats.entropy_ratio","stats.top_rate","stats.top_value","top_values"],"model":"anthropic:claude-opus-4-7","narrative":"JPScaleText is a 5-level ordinal categorical describing how 'reached' an entity is, ranging from 'Unreached' to 'Significantly Reached'. The distribution is top-heavy: 'Unreached' covers 43.5% of 16,382 rows (7,124), while 'Minimally Reached' is the rarest at 1,009. No nulls and entropy ratio 0.87 indicate well-spread but skewed coverage across all five levels.","role":"label","scope":"column","target":"JPScaleText","treatment":"Encode as an ordered ordinal (Unreached < Minimally < Superficially < Partially < Significantly) before modelling."},{"confidence":"high","critiques":[],"evidence_keys":["n","n_unique","null_rate","stats.top_rate","stats.top_value","stats.entropy_ratio","top_values"],"model":"anthropic:claude-opus-4-7","narrative":"This column holds URLs to one of five 'gauge' images on joshuaproject.net, almost certainly a visual encoding of an ordinal Joshua Project Scale (1-5). Distribution is uneven: gauge-1 dominates at 43.5% of 16,382 rows, while gauge-2 is rarest at 1,009 rows, and entropy ratio is 0.87. No nulls, but the URL itself carries no information beyond the underlying 1-5 code.","role":"metadata","scope":"column","target":"JPScaleImageURL","treatment":"Extract the trailing digit as an ordinal feature and drop the URL string."},{"confidence":"high","critiques":[],"evidence_keys":["n","n_unique","n_empty","duplicate_rate","n_duplicates","len_median","len_mean","len_p95","len_max","one_word_rate","readability_flesch_mean","top_values","language_counts"],"model":"anthropic:claude-opus-4-7","narrative":"A short ethnographic descriptor field, likely a people-group summary paragraph in English. The column is dominated by emptiness \u2014 12,328 of 16,382 rows (median length 0) are blank \u2014 and the non-empty entries are heavily duplicated (duplicate_rate 0.77), with the same Rajput and Jat write-ups repeating dozens of times in slight variants. Among populated rows, texts can be substantial (len_p95 = 719, max 1212) and Flesch readability of 13.2 indicates dense, hard-to-read prose.","role":"free_text","scope":"column","target":"Summary","treatment":"Deduplicate and drop empties before any NLP; treat as supplementary description rather than a per-row feature."},{"confidence":"high","critiques":[],"evidence_keys":["n","n_unique","stats.len_median","stats.len_mean","stats.len_max","stats.duplicate_rate","stats.n_duplicates","stats.n_empty","stats.one_word_rate","top_values","language_counts"],"model":"anthropic:claude-opus-4-7","narrative":"Free-text English commentary describing spiritual or cultural obstacles to Christian evangelism for various ethnic groups (Rajputs, Jats, Bosniaks, Azeri, etc.). The field is overwhelmingly empty: 12,327 of 16,382 rows are blank, driving a median length of 0 and a one-word rate of 0.75. Among populated rows, content is heavily duplicated (duplicate_rate 0.77), with the same Rajput and Jat paragraphs repeated 88 and 74 times, suggesting templated entries reused across related people-group records.","role":"free_text","scope":"column","target":"Obstacles","treatment":"Treat blanks as missing and deduplicate template paragraphs before tokenizing/embedding for any text modelling."},{"confidence":"high","critiques":[],"evidence_keys":["n","n_unique","stats.duplicate_rate","stats.n_empty","stats.len_median","stats.len_max","stats.len_p95","stats.word_median","top_values","language_counts"],"model":"anthropic:claude-opus-4-7","narrative":"This is a free-text field describing how a people group could be reached, likely sourced from a missions/Joshua Project-style dataset. The column is dominated by emptiness: 13,043 of 16,382 rows (n_empty) are blank, driving a median length of 0 and a duplicate_rate of 0.82. Among populated entries, prose is substantive (len_max 599, len_p95 221) but heavily repeated \u2014 the same paragraph about Jats appears 136 times and several near-duplicates differ only by a word, suggesting templated copy across related groups.","role":"free_text","scope":"column","target":"HowReach","treatment":"Treat as sparse free text: filter out empties and deduplicate near-identical strings before any tokenization or embedding."},{"confidence":"high","critiques":[],"evidence_keys":["n","n_unique","null_rate","stats.n_empty","stats.duplicate_rate","stats.one_word_rate","stats.len_mean","stats.len_max","stats.vocab_size","top_values","top_words","language_counts"],"model":"anthropic:claude-opus-4-7","narrative":"Free-text prayer prompts for a people-group / missions dataset, focused on praying for the church among unreached groups (top words: pray, the, among). The column is mostly empty \u2014 14,208 of 16,382 rows are blank \u2014 and among non-empty entries duplication is heavy, with a single Jat-related prayer appearing 146 times and an overall duplicate_rate of 0.89. Only 1,791 unique values and a vocab of 4,576 words suggest these are templated prayer points rather than authored prose, and all 652 language-tagged rows are English.","role":"free_text","scope":"column","target":"PrayForChurch","treatment":"Treat as sparse optional commentary; impute empties as missing and dedupe templates before any text modelling."},{"confidence":"high","critiques":[],"evidence_keys":["n","n_unique","null_rate","stats.duplicate_rate","stats.n_duplicates","stats.n_empty","stats.len_median","stats.len_mean","stats.word_median","stats.one_word_rate","stats.readability_flesch_mean","top_values","top_words","language_counts"],"model":"anthropic:claude-opus-4-7","narrative":"Free-text prayer points for a people group (PG), evidently scraped from a missions/Joshua Project\u2013style source given the recurring 'Pray for...' templates. The column is mostly empty: 12,570 of 16,382 rows are blank (median length 0, median word count 1) and the duplicate rate is 0.78, with one Rajput-focused prayer block repeated 88 times and similar boilerplate dominating the rest. Flesch mean of 14.3 confirms dense, formulaic devotional prose rather than varied commentary.","role":"free_text","scope":"column","target":"PrayForPG","treatment":"Treat as sparse boilerplate: drop empties, dedupe, and only embed the ~3.5k unique strings if prayer content is actually needed downstream."},{"confidence":"low","critiques":[],"evidence_keys":["alerts","column","kind","n","null_rate","stats"],"model":"anthropic:claude-opus-4-7","narrative":"The column is named \"Resources\" but saturn skipped profiling, so kind is unknown and no descriptive statistics were computed. We can confirm 16382 rows with a null_rate of 0.0, but n_unique and value-level signals are missing. Without those stats the semantic role and content type cannot be determined from the evidence alone.","role":"other","scope":"column","target":"Resources","treatment":"Re-profile this column with type coercion before deciding how to use it."},{"confidence":"low","critiques":[],"evidence_keys":["alerts","kind","n","null_rate","stats"],"model":"anthropic:claude-opus-4-7","narrative":"The column `country_data` was skipped by the profiler, so no type, cardinality, or value statistics are available beyond a row count of 16382 and a null rate of 0.0. Without `n_unique` or any sample stats, the actual content (codes, names, nested objects) cannot be inferred from the evidence.","role":"other","scope":"column","target":"country_data","treatment":"Re-profile with an appropriate parser to determine structure before use."},{"confidence":"low","critiques":[],"evidence_keys":["alerts","kind","n","null_rate","stats"],"model":"anthropic:claude-opus-4-7","narrative":"The `language_data` column was skipped by the profiler, so no type, cardinality, or value statistics are available beyond a row count of 16382 and a null rate of 0.0. Without `n_unique` or any descriptive stats, the actual contents (likely some structured or nested language payload given the name) cannot be characterized here.","role":"other","scope":"column","target":"language_data","treatment":"Re-profile with an appropriate parser (e.g., expand JSON or cast to string) before deciding on downstream use."}],"providers":["anthropic:claude-opus-4-7"],"total_usage":{"completion_tokens":30769,"prompt_tokens":148552,"total_tokens":179321}},"language_counts":{"ceb":1,"de":2,"en":6996,"es":12,"fr":2,"id":3,"it":2,"la":2,"nl":1,"pt":10,"sco":1,"sq":1},"meta":{"generated_at":"2026-05-01T18:37:42+00:00","mode":"full","row_count":16382,"sampled_rows":16382,"seed":42,"source":"/home/coolhand/html/datavis/data_trove/joshua-project/joshua_project_enriched.parquet"},"notes":[],"saturn_version":"0.2.0","schema":{"AffinityBloc":"categorical","AudioRecordings":"categorical","BibleStatus":"numeric","BibleYear":"categorical","Category":"categorical","Continent":"categorical","CountOfCountries":"numeric","CountOfProvinces":"unknown","CountryURL":"categorical","Ctry":"categorical","Frontier":"categorical","GSEC":"categorical","HasAudioRecordings":"categorical","HasJesusFilm":"categorical","HowReach":"text","ISO3":"categorical","IndigenousCode":"categorical","JF":"categorical","JPScale":"numeric","JPScaleImageURL":"categorical","JPScalePC":"categorical","JPScalePGAC":"categorical","JPScaleText":"categorical","LRTop100":"categorical","Latitude":"numeric","LeastReached":"categorical","LeastReachedPC":"categorical","LeastReachedPGAC":"categorical","LocationInCountry":"text","Longitude":"numeric","MapAddress":"text","MapCCVersionText":"categorical","MapCCVersionURL":"categorical","MapCopyright":"categorical","MapCreditURL":"categorical","MapCredits":"categorical","NTOnline":"categorical","NTYear":"text","NaturalName":"text","NaturalPronunciation":"text","Nomadic":"categorical","NomadicTypeDescription":"categorical","NumberLanguagesSpoken":"numeric","Obstacles":"text","OfficialLang":"categorical","PCBuddhism":"numeric","PCEthnicReligions":"numeric","PCHinduism":"numeric","PCIslam":"numeric","PCNonReligious":"numeric","PCOtherSmall":"numeric","PCUnknown":"numeric","PeopNameAcrossCountries":"text","PeopNameInCountry":"text","PeopleCluster":"categorical","PeopleGroupMapExpandedURL":"text","PeopleGroupMapURL":"text","PeopleGroupPhotoURL":"text","PeopleGroupURL":"text","PeopleID1":"numeric","PeopleID2":"numeric","PeopleID3":"numeric","PeopleID3ROG3":"text","PercentAdherents":"text","PercentChristianPC":"categorical","PercentChristianPGAC":"text","PercentEvangelical":"text","PercentEvangelicalPC":"categorical","PercentEvangelicalPGAC":"text","PhotoAddress":"text","PhotoCCVersionText":"categorical","PhotoCCVersionURL":"categorical","PhotoCopyright":"categorical","PhotoCreativeCommons":"categorical","PhotoCreditURL":"text","PhotoCredits":"text","PhotoPermission":"categorical","Population":"numeric","PopulationPGAC":"numeric","PortionsYear":"text","PrayForChurch":"text","PrayForPG":"text","PrimaryLanguageDialect":"categorical","PrimaryLanguageName":"text","PrimaryReligion":"categorical","PrimaryReligionPC":"categorical","PrimaryReligionPGAC":"categorical","ProfileTextExists":"categorical","RLG3":"numeric","RLG3PC":"numeric","RLG3PGAC":"numeric","RLG4":"numeric","ROG2":"categorical","ROG3":"categorical","ROL3":"text","ROP1":"categorical","ROP2":"categorical","ROP3":"numeric","RegionCode":"numeric","RegionName":"categorical","ReligionSubdivision":"categorical","Resources":"unknown","SecurityLevel":"numeric","SpeakNationalLang":"unknown","Summary":"text","TranslationNeedQuestionable":"unknown","Window1040":"categorical","country_data":"unknown","language_data":"unknown"}}