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Enrollment","kind":"histogram"},{"caption":"Roughly 73% of rows come from Medicaid-expansion states, a key segmentation variable.","column":"State Expanded Medicaid","kind":"donut"},{"caption":"Median wait is 5 minutes but the tail extends to 72 \u2014 useful for spotting service-level outliers.","column":"Average Call Center Wait Time (Minutes)","kind":"histogram"},{"caption":"Confirms time coverage from Sept 2013 through 2025, roughly uniform across 102 monthly periods.","column":"Reporting Period","kind":"histogram"},{"caption":"Verifies balanced coverage \u2014 every one of the 51 jurisdictions contributes exactly 202 rows.","column":"State Abbreviation","kind":"bar"}],"model":"anthropic:claude-opus-4-7","narrative":"This dataset captures monthly state-level Medicaid and CHIP performance reports (10,302 rows \u00d7 44 columns) covering enrollment counts, application volumes, eligibility determinations by processing-time bucket, and call-center metrics across all 51 state jurisdictions. The reporting structure is clean and balanced \u2014 each state contributes 202 rows, and the Final Report and Preliminary/Updated flags split exactly 50/50 \u2014 but most numeric metrics are heavily right-skewed and riddled with outliers, since large states like California dwarf smaller ones (e.g., Total Medicaid Enrollment ranges from 0 to 13.2M with skew 3.6). Two things deserve a closer look first: the very high null rates on operational metrics (Total Adult Medicaid Enrollment is 85% null; call-center fields ~70% null), which suggests many states simply don't report these, and the Medicaid-expansion split (73% Y vs 27% N) which is a natural lens for comparing enrollment and processing outcomes. The free-text 'footnotes' columns are also worth scanning \u2014 they reveal systematic data-quality caveats (e.g., 'Incorrectly reporting processing time at application level') that should temper any cross-state comparison.","scope":"dataset","target":"__global__"},{"confidence":"high","critiques":[],"evidence_keys":["n","n_unique","null_rate","stats.cardinality","stats.entropy_ratio","stats.top_rate","top_values"],"model":"anthropic:claude-opus-4-7","narrative":"Two-letter US state abbreviation, with 51 distinct values (the 50 states plus DC) and zero nulls across 10,302 rows. The distribution is perfectly uniform: every state appears exactly 202 times, and entropy_ratio is 1.0, indicating this column was constructed as a balanced grid rather than sampled from real-world frequencies.","role":"feature","scope":"column","target":"State Abbreviation","treatment":"One-hot or target-encode for modelling; useful as a join key on state-level lookups."},{"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 US state names, with 51 distinct values (the 50 states plus District of Columbia) and zero nulls across 10,302 rows. The distribution is perfectly uniform: every state appears exactly 202 times, yielding a top_rate of 0.0196 and an entropy_ratio of 1.0. That balance suggests the dataset was constructed as a state-by-something grid rather than sampled from real-world frequencies.","role":"feature","scope":"column","target":"State Name","treatment":"use as a categorical grouping key; one-hot or target-encode for modelling."},{"confidence":"high","critiques":[],"evidence_keys":["n","n_unique","null_rate","stats.min","stats.max","stats.q1","stats.q3","stats.median","stats.iqr","stats.std"],"model":"anthropic:claude-opus-4-7","narrative":"This column encodes a year-month reporting period as a packed integer (YYYYMM), spanning 201309 to 202510 across 102 distinct values with no nulls. Values cluster between Q1 201906 and Q3 202309, consistent with monthly reporting cadence rather than a true continuous numeric. The 'std' of 249.6 and IQR of 403 are artifacts of the YYYYMM encoding (gaps between ..12 and ..01) and should not be read as a real numeric spread.","role":"timestamp","scope":"column","target":"Reporting Period","treatment":"Parse YYYYMM into a proper month/date type before any time-series 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":"Binary Y/N flag indicating whether the state expanded Medicaid, fully populated across 10302 rows. The split is imbalanced: 72.6% 'Y' versus 2827 'N' records, but entropy ratio of 0.85 shows both classes are well represented. No nulls or unexpected categories.","role":"feature","scope":"column","target":"State Expanded Medicaid","treatment":"Encode as a 0/1 indicator for modelling."},{"confidence":"high","critiques":[],"evidence_keys":["n","n_unique","null_rate","stats.entropy_ratio","stats.top_rate","top_values"],"model":"anthropic:claude-opus-4-7","narrative":"Binary flag distinguishing 'Preliminary' (P) from 'Updated' (U) records, with exactly 5151 of each across 10302 rows. The perfectly even 50/50 split (entropy_ratio 1.0) is unusual for a real-world status field and suggests the dataset was constructed by pairing each preliminary record with its updated counterpart. No nulls.","role":"feature","scope":"column","target":"Preliminary or Updated","treatment":"Encode as a binary indicator; consider whether to filter to only 'U' rows to avoid double-counting paired records."},{"confidence":"high","critiques":[],"evidence_keys":["n","n_unique","null_rate","stats.entropy","stats.top_rate","top_values"],"model":"anthropic:claude-opus-4-7","narrative":"Binary Y/N flag indicating whether a final report exists, with no nulls across 10302 rows. The split is exactly balanced at 5151 each, yielding maximum entropy (1.0) \u2014 this perfect 50/50 is unusual in real-world reporting data and suggests deliberate stratified sampling or class balancing.","role":"label","scope":"column","target":"Final Report","treatment":"Encode as 0/1 and use directly as a binary target or stratification key."},{"confidence":"high","critiques":[],"evidence_keys":["n","n_unique","null_rate","stats.mean","stats.median","stats.min","stats.max","stats.q1","stats.q3","stats.std","stats.skew","stats.kurtosis","stats.outlier_rate","stats.zero_rate"],"model":"anthropic:claude-opus-4-7","narrative":"This column counts new Medicaid/CHIP applications submitted to state agencies, with 10,302 rows and 5,378 unique values. The distribution is heavily right-skewed (skew 4.08, kurtosis 23.5): the median is 14,644 but the mean is 29,897 and the max reaches 733,651, with 11.5% of values flagged as outliers and 4% exact zeros. The 0.5% null rate is negligible, but the spread between Q1 (4,511) and Q3 (29,973) confirms wide cross-state or cross-period variation.","role":"feature","scope":"column","target":"New Applications Submitted to Medicaid and CHIP Agencies","treatment":"Apply a log1p transform before modelling to tame the skew and outliers."},{"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":"This is a free-form footnotes/caveats field annotating Medicaid/CHIP application counts, explaining what each state's submission does or does not include (e.g., renewals, administrative transfers, other programs). It is sparsely populated with a 0.766 null rate, and across 10302 rows only 18 distinct notes appear; the most common, 'Includes Renewals and/or Redeterminations', covers 27% of non-null entries. High entropy ratio (0.84) indicates the remaining notes are spread fairly evenly, suggesting heterogeneous reporting practices across states.","role":"metadata","scope":"column","target":"New Applications Submitted to Medicaid and CHIP Agencies - footnotes","treatment":"Treat as data-quality caveat flags; split on ';' and one-hot encode the component clauses rather than modelling the raw string."},{"confidence":"high","critiques":[],"evidence_keys":["n","n_unique","null_rate","stats.zero_rate","stats.median","stats.q3","stats.max","stats.mean","stats.std","stats.skew","stats.kurtosis","stats.outlier_rate","stats.n_outliers"],"model":"anthropic:claude-opus-4-7","narrative":"This column appears to be a count of applications for financial assistance submitted to a state-based health insurance marketplace, recorded across 10,302 rows. The distribution is extremely sparse and skewed: 77% of values are zero, the median and IQR are both 0, yet the maximum reaches 762,069 with a mean of 11,228 and std of 55,394. Skew (8.41) and kurtosis (82.6) are severe, and 23% of rows are flagged as outliers, indicating a small set of very large submission counts dominate the signal.","role":"feature","scope":"column","target":"Applications for Financial Assistance Submitted to the State Based Marketplace","treatment":"Consider a zero-vs-nonzero indicator plus log1p transform before modelling, given 77% zeros and heavy right tail."},{"confidence":"high","critiques":[],"evidence_keys":["null_rate","n_unique","top_values","stats.top_rate","stats.top_value"],"model":"anthropic:claude-opus-4-7","narrative":"This is a footnotes/qualifier column attached to SBM financial-assistance application counts, carrying free-form caveats about what the underlying figures include. It's almost entirely empty (97.43% null) with only 3 distinct annotations across 10,302 rows; when present, 83% read 'Includes Renewals and/or Redeterminations'. The notes warn that some counts mix in renewals, duplicates, or exclude certain Medicaid applications \u2014 material caveats for anyone aggregating the parent metric.","role":"metadata","scope":"column","target":"Applications for Financial Assistance Submitted to the State Based Marketplace - footnotes","treatment":"Keep as a qualifier flag joined to the parent metric; do not model directly."},{"confidence":"high","critiques":[],"evidence_keys":["n","n_unique","null_rate","stats.mean","stats.median","stats.max","stats.min","stats.std","stats.iqr","stats.skew","stats.kurtosis","stats.zero_rate","stats.outlier_rate","stats.n_outliers","stats.q1","stats.q3"],"model":"anthropic:claude-opus-4-7","narrative":"Numeric count of financial-assistance applications aggregated to the state level, with 10,302 records and 5,591 unique values. The distribution is severely right-skewed (skew 4.40, kurtosis 26.4): the median is 18,257 but the mean is 41,125 and the max reaches 762,069, with 12.2% of rows flagged as outliers. About 2% of values are zero and 0.5% are null, so a long tail of high-volume states dominates the spread (std 72,081 vs IQR 33,613).","role":"feature","scope":"column","target":"Total Applications for Financial Assistance Submitted at State Level","treatment":"Apply a log1p transform before modelling to tame the heavy right tail."},{"confidence":"high","critiques":[],"evidence_keys":["null_rate","n_unique","top_value","top_rate","stats.entropy_ratio","top_values"],"model":"anthropic:claude-opus-4-7","narrative":"Free-form footnote annotations qualifying state-level application counts, drawn from a small controlled vocabulary of 17 caveat strings (often semicolon-concatenated combinations). 73.44% of rows are null, and among the 2,737 populated rows the single value \"Includes Renewals and/or Redeterminations\" accounts for 42.5%, signalling that most states append the same scope caveat. Entropy ratio of 0.73 confirms the long tail is thin \u2014 these are methodology flags, not data.","role":"metadata","scope":"column","target":"Total Applications for Financial Assistance Submitted at State Level - footnotes","treatment":"Keep as a qualifier when interpreting the parent metric; split on ';' into boolean flags rather than modelling as a feature."},{"confidence":"high","critiques":[],"evidence_keys":["stats.skew","stats.kurtosis","stats.median","stats.max","stats.outlier_rate","stats.zero_rate","null_rate","stats.q1","stats.q3"],"model":"anthropic:claude-opus-4-7","narrative":"This column counts individuals determined eligible for Medicaid at application, likely aggregated per reporting unit (state/month). The distribution is heavily right-skewed (skew 2.93, kurtosis 11.06) with a median of 11,008 but a max of 435,560, and roughly 10.3% of rows flagged as outliers. About 5.9% of values are zero and 0.5% are null, so a small but non-trivial share of records report no eligibility activity.","role":"feature","scope":"column","target":"Individuals Determined Eligible for Medicaid at Application","treatment":"Log1p-transform before modelling to tame skew and outliers."},{"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":"This is a footnotes/caveats column annotating Medicaid eligibility determination counts, with 18 distinct qualifier strings (often semicolon-concatenated combinations like 'Includes Renewals and/or Redeterminations; Includes CHIP'). 72.8% of rows are null, meaning most records carry no caveat, but where present the top note 'Includes Renewals and/or Redeterminations' covers 28.1% of non-null entries. High entropy ratio (0.82) across only 18 values indicates the caveats are spread fairly evenly, signalling that the underlying count column is not measured consistently across reporters.","role":"metadata","scope":"column","target":"Individuals Determined Eligible for Medicaid at Application - footnotes","treatment":"Split on '; ' into boolean caveat flags and use them to qualify or filter the associated count column."},{"confidence":"high","critiques":[],"evidence_keys":["n","n_unique","null_rate","stats.mean","stats.median","stats.max","stats.min","stats.skew","stats.kurtosis","stats.zero_rate","stats.outlier_rate","stats.n_outliers","stats.q1","stats.q3","stats.std"],"model":"anthropic:claude-opus-4-7","narrative":"Monthly or periodic count of individuals determined eligible for CHIP (Children's Health Insurance Program) at the application stage, reported per submitting entity. The distribution is heavily right-skewed (skew 3.31, kurtosis 13.83) with a median of 679 but mean 2374.6 and max 44,881, and 11.4% of rows are exact zeros. Roughly 12.6% of values (1,295 rows) flag as outliers, suggesting a long tail of very large reporting units alongside many small or inactive ones.","role":"feature","scope":"column","target":"Individuals Determined Eligible for CHIP at Application","treatment":"Apply a log1p transform before modelling and consider modelling the zero-mass separately."},{"confidence":"high","critiques":[],"evidence_keys":["null_rate","n_unique","top_rate","top_value","top_values","cardinality"],"model":"anthropic:claude-opus-4-7","narrative":"Free-text footnote annotations qualifying CHIP eligibility counts at application, populated only when a caveat applies. The column is 90.99% null with just 7 distinct notes across 10,302 rows; among the 928 populated cells, 'Includes Renewals and/or Redeterminations' dominates at 46.55%. The notes flag methodology caveats (renewals mixed in, household vs individual counts, incomplete determinations) that materially affect comparability of the numeric column they annotate.","role":"metadata","scope":"column","target":"Individuals Determined Eligible for CHIP at Application - footnotes","treatment":"Keep as a caveat flag; binarize or one-hot the handful of footnote categories before comparing the associated count column across rows."},{"confidence":"high","critiques":[],"evidence_keys":["n","n_unique","null_rate","stats.mean","stats.median","stats.max","stats.min","stats.skew","stats.kurtosis","stats.outlier_rate","stats.zero_rate","alerts"],"model":"anthropic:claude-opus-4-7","narrative":"This is a numeric feature recording total Medicaid and CHIP eligibility determinations, likely aggregated per state-month or similar reporting unit. The distribution is heavily right-skewed (skew 2.92, kurtosis 10.77) with a median of 11,977 against a mean of 29,811 and a max of 467,780, and roughly 10.5% of rows flagged as outliers. About 5.5% of values are zero and 0.5% are null, suggesting some non-reporting or inactive periods.","role":"feature","scope":"column","target":"Total Medicaid and CHIP Determinations","treatment":"Log-transform (log1p) before modelling to tame the heavy right tail."},{"confidence":"high","critiques":[],"evidence_keys":["null_rate","n_unique","top_rate","top_value","top_values","stats.entropy_ratio"],"model":"anthropic:claude-opus-4-7","narrative":"Free-form footnote annotations attached to state Medicaid/CHIP determination counts, describing caveats like inclusion of renewals or exclusions of certain determination types. The column is 81.58% null, leaving only ~1,900 populated rows across 12 distinct caveat strings, with 'Includes Renewals and/or Redeterminations' alone covering 47.1% of non-null entries. Several values are semicolon-concatenated combinations of base caveats, so the 12-way cardinality understates the underlying flag set.","role":"metadata","scope":"column","target":"Total Medicaid and CHIP Determinations - footnotes","treatment":"Split on '; ' into boolean caveat flags rather than treating as a single categorical."},{"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","stats.zero_rate","alerts"],"model":"anthropic:claude-opus-4-7","narrative":"This column reports counts of Medicaid and CHIP child enrollees, with 10,302 rows and 8,094 unique values spanning 0 to 5,339,904. The distribution is heavily right-skewed (skew 2.80, kurtosis 8.85) with a mean of 740,683 well above the median of 511,370, and roughly 7.8% of values flagged as outliers. About 2.1% of rows are exactly zero and 0.5% are null, suggesting a mix of small and very large reporting units.","role":"feature","scope":"column","target":"Medicaid and CHIP Child Enrollment","treatment":"Log-transform (log1p) before modelling to tame the heavy right tail."},{"confidence":"high","critiques":[],"evidence_keys":["null_rate","n_unique","top_value","top_rate","top_values","stats.cardinality"],"model":"anthropic:claude-opus-4-7","narrative":"This column holds free-form footnotes annotating the Medicaid and CHIP child enrollment counts, explaining caveats like enrollment-period basis or data completeness. It is null 92.19% of the time, and among the 805 populated rows there are only 7 distinct messages, with 'Includes Individuals Enrolled At Any Time in Month (Not a Point-in-Time Count)' covering 49.57% of them. The presence of 'Unable to provide data due to system limitations' (218 rows) is a meaningful data-quality flag tied to specific reporters.","role":"metadata","scope":"column","target":"Medicaid and CHIP Child Enrollment - footnotes","treatment":"Keep as a qualifier flag joined to the enrollment metric; do not model directly."},{"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.n_outliers","stats.outlier_rate","stats.zero_rate"],"model":"anthropic:claude-opus-4-7","narrative":"State-level (or similar geographic) totals of Medicaid and CHIP enrollees, ranging from 0 to about 14.46M with a median of roughly 1.03M and mean of 1.57M. The distribution is heavily right-skewed (skew 3.67, kurtosis 16.6) with 692 outliers (6.7%), consistent with a few very large states dominating the tail. Nulls and zeros are negligible (0.02% and 0.03%).","role":"feature","scope":"column","target":"Total Medicaid and CHIP Enrollment","treatment":"Log-transform before modelling to tame the heavy right tail."},{"confidence":"high","critiques":[],"evidence_keys":["null_rate","n_unique","stats.top_value","stats.top_rate","top_values"],"model":"anthropic:claude-opus-4-7","narrative":"Footnote annotations qualifying the Total Medicaid and CHIP Enrollment figure for each row, drawn from a controlled vocabulary of just 9 phrases. The column is sparse \u2014 93.11% null \u2014 and when present is dominated by a single caveat, \"Includes Individuals Enrolled At Any Time in Month (Not a Point-in-Time Count)\", which accounts for 56.19% of non-null values (399 of ~710). The remaining notes flag scope exclusions or retroactive counts that materially affect comparability across states or months.","role":"metadata","scope":"column","target":"Total Medicaid and CHIP Enrollment - footnotes","treatment":"Keep as a qualifier flag joined to the enrollment figure; do not model directly, but filter or stratify analyses by these caveats."},{"confidence":"high","critiques":[],"evidence_keys":["n","n_unique","null_rate","stats.median","stats.mean","stats.max","stats.min","stats.skew","stats.kurtosis","stats.n_outliers","stats.outlier_rate","stats.zero_rate"],"model":"anthropic:claude-opus-4-7","narrative":"Counts of Medicaid enrollees, almost certainly aggregated by state-month or similar reporting unit (10,302 rows, 8,221 unique values, near-zero nulls). The distribution is heavily right-skewed (skew 3.61, kurtosis 16.1) with a median of 949,244 but a max of 13,160,563, and 691 rows (6.7%) flagged as outliers \u2014 consistent with a few very large states dominating the tail. Minimum is 0 but only 0.03% of rows are zero, so true empties are rare.","role":"feature","scope":"column","target":"Total Medicaid Enrollment","treatment":"log-transform before regression to tame the right skew."},{"confidence":"high","critiques":[],"evidence_keys":["null_rate","n_unique","top_rate","top_value","top_values","stats.entropy"],"model":"anthropic:claude-opus-4-7","narrative":"Footnote annotations qualifying the Total Medicaid Enrollment figures, drawn from a small controlled vocabulary of 7 distinct caveats. The column is 93.21% null, so only 700 of 10302 rows carry any note, and 57% of those flag that the count includes individuals enrolled at any time in the month rather than a point-in-time count. A handful of rows even disclose 'Unable to Provide Data due to System Limitations', which materially affects how the paired enrollment number should be read.","role":"metadata","scope":"column","target":"Total Medicaid Enrollment - footnotes","treatment":"Keep as a qualifier flag joined to the enrollment value; do not impute, and exclude or footnote rows with the system-limitation note when aggregating."},{"confidence":"high","critiques":[],"evidence_keys":["n","n_unique","null_rate","stats.mean","stats.median","stats.max","stats.min","stats.skew","stats.kurtosis","stats.n_outliers","stats.outlier_rate","stats.zero_rate"],"model":"anthropic:claude-opus-4-7","narrative":"Likely a count of children enrolled in CHIP (Children's Health Insurance Program), probably aggregated by state and time period across 10,302 rows. The distribution is heavily right-skewed (skew 3.90, kurtosis 18.21) with the mean (136,663) far above the median (78,933) and a max of 1,317,347, plus 542 outliers (5.3%). Near-zero zero_rate (0.03%) and low null_rate (0.5%) indicate the field is consistently populated.","role":"feature","scope":"column","target":"Total CHIP Enrollment","treatment":"log-transform before regression to tame the heavy right tail."},{"confidence":"high","critiques":[],"evidence_keys":["null_rate","n_unique","top_value","top_rate","top_values","cardinality"],"model":"anthropic:claude-opus-4-7","narrative":"This is a sparse footnote/qualifier column annotating CHIP enrollment counts, present on only ~4% of rows (null_rate 0.9592). Among the 420 non-null entries, four distinct notes appear, dominated by 'Includes Individuals Enrolled At Any Time in Month (Not a Point-in-Time Count)' at 75.95%, with smaller mentions of retroactive enrollments, incomplete coverage, and system-limitation gaps. These notes signal that the accompanying enrollment numbers are not methodologically uniform across rows.","role":"metadata","scope":"column","target":"Total CHIP Enrollment - footnotes","treatment":"Keep as a caveat flag joined to the enrollment column; do not use as a modelling feature."},{"confidence":"high","critiques":[],"evidence_keys":["null_rate","n","n_unique","stats.mean","stats.median","stats.max","stats.skew","stats.kurtosis","stats.outlier_rate","stats.n_outliers"],"model":"anthropic:claude-opus-4-7","narrative":"Counts of adult Medicaid enrollees, almost certainly aggregated by state and reporting period. Coverage is sparse \u2014 84.65% of rows are null \u2014 and the populated values are heavily right-skewed (skew 4.56, kurtosis 23.38) with a mean of 810,066 sitting well above the median of 551,447 and a max of 8,497,290. Only 1,415 distinct values across 10,302 rows suggests repeated state-level totals, and 62 outliers (3.9%) likely correspond to the largest states.","role":"feature","scope":"column","target":"Total Adult Medicaid Enrollment","treatment":"Impute or filter the 84.65% nulls and log-transform before any regression."},{"confidence":"high","critiques":[],"evidence_keys":["null_rate","n_unique","top_value","top_rate","top_values","cardinality"],"model":"anthropic:claude-opus-4-7","narrative":"This is a footnotes/caveats column accompanying Total Adult Medicaid Enrollment, holding methodological annotations rather than data values. It is 98.79% null with only 4 distinct notes across 10,302 rows; the dominant note (56% of non-nulls, 70 occurrences) flags that counts include anyone enrolled at any time in the month rather than a point-in-time count, while 3 rows admit data could not be provided due to system limitations.","role":"metadata","scope":"column","target":"Total Adult Medicaid Enrollment - footnotes","treatment":"Keep as a qualitative caveat lookup; do not use as a model feature given the 98.79% null rate."},{"confidence":"high","critiques":[],"evidence_keys":["null_rate","stats.min","stats.max","stats.mean","stats.median","stats.skew","stats.kurtosis","stats.n_outliers","stats.outlier_rate","stats.zero_rate","stats.q1","stats.q3"],"model":"anthropic:claude-opus-4-7","narrative":"This column counts Medicaid/CHIP determinations processed in under 24 hours per reporting unit, with values ranging from 0 to 791,175 and a median of just 3,470. It is severely right-skewed (skew 6.44, kurtosis 47.28) with mean 22,240 dwarfing the median, 699 outliers (11.9%), and a 43.07% null rate that an analyst should not ignore. About 2.1% of records are zero, suggesting some agencies report no fast-track determinations.","role":"feature","scope":"column","target":"Total Medicaid and CHIP Determinations Processed in Less than 24 Hours","treatment":"Impute or flag the 43% missing, then log-transform before any modelling to tame the skew."},{"confidence":"high","critiques":[],"evidence_keys":["null_rate","n","n_unique","stats.top_value","stats.top_rate","top_values"],"model":"anthropic:claude-opus-4-7","narrative":"Footnote/caveat field annotating data-quality issues with the 'Total Medicaid and CHIP Determinations Processed in Less than 24 Hours' metric. It is null 89.21% of the time, with only 20 distinct values across 10,302 rows; the most common note, appearing 420 times (37.77% of non-nulls), flags reporting at application rather than individual level. Several entries are semicolon-concatenated combinations of caveats, suggesting a multi-label field flattened into strings.","role":"metadata","scope":"column","target":"Total Medicaid and CHIP Determinations Processed in Less than 24 Hours - footnotes","treatment":"Keep as a caveat flag; split on ';' into boolean indicators if you need to filter unreliable rows from the paired metric."},{"confidence":"high","critiques":[],"evidence_keys":["null_rate","stats.skew","stats.kurtosis","stats.median","stats.max","stats.outlier_rate","stats.zero_rate","stats.q1","stats.q3"],"model":"anthropic:claude-opus-4-7","narrative":"This column counts state-level Medicaid and CHIP eligibility determinations processed in the 24-hour to 7-day window. Values are heavily right-skewed (skew 4.39, kurtosis 29.5) with a median of 2,312 but a max of 133,996, and 10.3% of values flag as outliers \u2014 consistent with a few large states dominating volumes. Note that 43.1% of rows are null and 2.7% are exact zeros, so coverage is partial.","role":"feature","scope":"column","target":"Total Medicaid and CHIP Determinations Processed Between 24 Hours and 7 Days","treatment":"Log-transform and impute or flag missingness before modelling."},{"confidence":"high","critiques":[],"evidence_keys":["null_rate","n_unique","stats.top_value","stats.top_rate","stats.entropy","top_values"],"model":"anthropic:claude-opus-4-7","narrative":"Footnote annotations describing data quality caveats for the Medicaid/CHIP 24h-7d determinations metric. The column is 89.21% null, leaving only ~1,111 populated rows across 21 distinct caveat strings, with the top note ('Incorrectly reporting processing time at application level...') covering 37.77% of the non-null entries. Many values are semicolon-concatenated combinations of caveats, indicating multiple data quality issues stacked per row.","role":"metadata","scope":"column","target":"Total Medicaid and CHIP Determinations Processed Between 24 Hours and 7 Days - footnotes","treatment":"Keep as a qualitative caveat flag; split on ';' to derive boolean data-quality indicators rather than modelling directly."},{"confidence":"high","critiques":[],"evidence_keys":["null_rate","stats.skew","stats.kurtosis","stats.median","stats.max","stats.outlier_rate","stats.q1","stats.q3","stats.zero_rate"],"model":"anthropic:claude-opus-4-7","narrative":"Numeric count of Medicaid/CHIP eligibility determinations processed in the 8-30 day window, likely reported per state-month. Distribution is heavily right-skewed (skew 3.98, kurtosis 19.86) with median 2528 but max 155529, and 10.2% of values flagged as outliers. Notably, 43.1% of rows are null, suggesting many reporting periods or jurisdictions did not submit this metric.","role":"feature","scope":"column","target":"Total Medicaid and CHIP Determinations Processed Between 8 Days and 30 Days","treatment":"Impute or filter the 43% nulls and log-transform before any 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":"This is a footnotes/caveats column attached to a Medicaid & CHIP determination-processing metric, recording data-quality disclaimers per row. It is overwhelmingly empty (null_rate 0.8926), and among the 1,106 populated rows the 16 distinct notes are dominated by 'Incorrectly reporting processing time at application level, as opposed to the individual level' at 39.6%, with several entries being semicolon-concatenated combinations of base notes. The notes describe known reporting errors (redeterminations included, missing MAGI determinations, system limitations), so any downstream use of the associated metric should treat flagged rows as suspect.","role":"metadata","scope":"column","target":"Total Medicaid and CHIP Determinations Processed Between 8 Days and 30 Days - footnotes","treatment":"Keep as a data-quality flag; split on ';' into boolean caveat indicators rather than modelling as a single category."},{"confidence":"high","critiques":[],"evidence_keys":["null_rate","stats.skew","stats.kurtosis","stats.median","stats.mean","stats.max","stats.outlier_rate","stats.zero_rate","stats.q1","stats.q3"],"model":"anthropic:claude-opus-4-7","narrative":"This is a numeric operational metric counting Medicaid and CHIP determinations processed in a 31-45 day window, almost certainly reported per state and reporting period. The distribution is severely right-skewed (skew 4.90, kurtosis 31.95) with a median of 693 but a mean of 2917 and a max of 81475, and 12.75% of rows flagged as outliers. Notably, 43.07% of values are null and 6.63% are zero, so under half of rows carry a usable signal.","role":"feature","scope":"column","target":"Total Medicaid and CHIP Determinations Processed between 31 days and 45 days","treatment":"Log-transform after imputing or flagging the 43% nulls before any 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":"Footnote/caveat field annotating data quality issues for the 31-45 day Medicaid/CHIP determination processing metric. 89.26% of rows are null, and among the 15 distinct notes one dominates: 46.11% of non-null entries flag 'Incorrectly reporting processing time at application level, as opposed to the individual level', with semicolon-delimited combinations indicating multiple concurrent caveats per row.","role":"metadata","scope":"column","target":"Total Medicaid and CHIP Determinations Processed between 31 days and 45 days - footnotes","treatment":"Keep as a data-quality flag; split on ';' into multi-hot indicators when auditing the paired metric."},{"confidence":"high","critiques":[],"evidence_keys":["null_rate","stats.skew","stats.kurtosis","stats.median","stats.max","stats.std","stats.outlier_rate","stats.zero_rate","stats.q1","stats.q3"],"model":"anthropic:claude-opus-4-7","narrative":"This is a state/period-level operational metric counting Medicaid and CHIP eligibility determinations that exceeded the 45-day processing target. The distribution is severely right-skewed (skew 5.26, kurtosis 37.4) with a median of 395 but a max of 106,943 and std of 8,135, and roughly 15.4% of values flagged as outliers. Notably, 43.1% of rows are null and another 10% are exact zeros, so most of the variance comes from a small tail of jurisdictions or reporting periods with large backlogs.","role":"feature","scope":"column","target":"Total Medicaid and CHIP Determinations Processed in More than 45 Days","treatment":"Log1p-transform and add a missing-value indicator before modelling."},{"confidence":"high","critiques":[],"evidence_keys":["null_rate","n_unique","top_rate","top_value","top_values","stats.entropy_ratio"],"model":"anthropic:claude-opus-4-7","narrative":"Footnote/caveat field annotating data-quality issues on the '45+ day determinations' metric. 89.26% null suggests footnotes are only attached when a state reports a known issue; among the 1,104 populated rows, 46.11% flag the same problem ('Incorrectly reporting processing time at application level, as opposed to the individual level'), and several values are semicolon-concatenated combinations rather than atomic codes.","role":"metadata","scope":"column","target":"Total Medicaid and CHIP Determinations Processed in More than 45 Days - footnotes","treatment":"Split on '; ' into a multi-label flag set and use as data-quality filters, not as a model feature."},{"confidence":"high","critiques":[],"evidence_keys":["null_rate","stats.skew","stats.kurtosis","stats.median","stats.max","stats.min","stats.q1","stats.q3","stats.n_outliers","stats.outlier_rate","n","n_unique"],"model":"anthropic:claude-opus-4-7","narrative":"Numeric volume of calls handled by a call center, almost certainly an aggregate per row (e.g., monthly or per-center totals). Nearly 70% of rows are null (null_rate 0.6949), so this column is sparsely populated. The distribution is heavily right-skewed (skew 4.66, kurtosis 25.1) with a median of 73,754 but a max of 2,615,575 and 223 outliers (7.1%), indicating a small number of very high-volume reporters dominate the tail.","role":"feature","scope":"column","target":"Total Call Center Volume (Number of Calls)","treatment":"Log-transform and impute or flag the 69% missing before modelling."},{"confidence":"high","critiques":[],"evidence_keys":["null_rate","n_unique","stats.cardinality","stats.top_rate","stats.top_value","top_values"],"model":"anthropic:claude-opus-4-7","narrative":"This column holds free-text footnotes qualifying the 'Total Call Center Volume' metric, explaining caveats like excluded after-hours calls or inclusion of other benefit programs. 71% of rows are null, and only 27 distinct footnote strings cover the remaining 2,993 records, with the top note appearing 601 times (20% of non-nulls). The values are semicolon-concatenated combinations of a small set of standard caveats, so this is metadata about measurement methodology rather than a feature.","role":"metadata","scope":"column","target":"Total Call Center Volume (Number of Calls) - footnotes","treatment":"Keep as methodological annotation; if used in modelling, parse into binary flags for each underlying caveat rather than treating as a categorical."},{"confidence":"high","critiques":[],"evidence_keys":["null_rate","n","n_unique","stats.mean","stats.median","stats.min","stats.max","stats.q1","stats.q3","stats.iqr","stats.std","stats.skew","stats.kurtosis","stats.zero_rate","stats.n_outliers","stats.outlier_rate"],"model":"anthropic:claude-opus-4-7","narrative":"Average call-centre wait time in minutes, recorded for only about 30% of rows (null_rate 0.6947). Distribution is right-skewed (skew 1.78, kurtosis 3.29) with median 5 minutes versus mean 9.95 and a max of 72; 11.6% of observed values are exactly zero and 145 outliers (4.6%) sit above the q3+IQR fence. Heavy missingness suggests the metric is only captured for cases that involved a call.","role":"feature","scope":"column","target":"Average Call Center Wait Time (Minutes)","treatment":"Impute or add a missingness indicator and log-transform before modelling."},{"confidence":"high","critiques":[],"evidence_keys":["null_rate","n_unique","stats.entropy_ratio","stats.top_rate","stats.top_value","top_values"],"model":"anthropic:claude-opus-4-7","narrative":"Free-form footnote annotations qualifying the 'Average Call Center Wait Time' metric, describing measurement caveats like callback handling, after-hours exclusions, and inclusion of other benefit programs. 69.73% of rows are null and the remaining values spread across 44 semicolon-concatenated combinations with very high entropy ratio (0.918), so even the most common footnote covers only 7.89% of non-nulls. The values are clearly composed from a small set of reusable phrases joined with semicolons rather than free prose.","role":"metadata","scope":"column","target":"Average Call Center Wait Time (Minutes) - footnotes","treatment":"Split on '; ' and one-hot encode the underlying caveat phrases rather than treating each combination as a distinct category."},{"confidence":"high","critiques":[],"evidence_keys":["null_rate","n","n_unique","stats.min","stats.max","stats.mean","stats.median","stats.skew","stats.q1","stats.q3","stats.n_outliers","stats.outlier_rate"],"model":"anthropic:claude-opus-4-7","narrative":"Numeric metric capturing the share of inbound calls abandoned at a contact center, expressed as a proportion between 0 and 0.652. Distribution is right-skewed (skew 1.22) with median 0.088 well below mean 0.132, and 54 outliers (1.7%) sit in the upper tail. The dominant concern is coverage: 69.49% of rows are null, so the column is populated for less than a third of records.","role":"feature","scope":"column","target":"Average Call Center Abandonment Rate","treatment":"Impute or add a missingness indicator before modelling, and consider a log or sqrt transform to tame the right skew."},{"confidence":"high","critiques":[],"evidence_keys":["null_rate","n_unique","stats.top_rate","stats.top_value","stats.entropy_ratio","top_values"],"model":"anthropic:claude-opus-4-7","narrative":"This is a free-text footnote field qualifying the 'Average Call Center Abandonment Rate' metric, with 36 distinct semicolon-joined caveat combinations describing measurement scope (e.g., excluded after-hours calls, inclusion of other benefit programs, live-agent-only counts). It is missing for 69.73% of rows, and even the most common note covers only 12.54% of present values, with entropy ratio 0.833 indicating the remaining caveats are spread fairly evenly. The recurring phrases suggest these are reusable methodology disclaimers attached per reporter rather than free prose.","role":"metadata","scope":"column","target":"Average Call Center Abandonment Rate - footnotes","treatment":"Keep as documentation; if needed for modelling, split on ';' and one-hot the individual caveat flags."}],"providers":["anthropic:claude-opus-4-7"],"total_usage":{"completion_tokens":13693,"prompt_tokens":57954,"total_tokens":71647}},"language_counts":{},"meta":{"generated_at":"2026-04-22T05:56:42+00:00","mode":"full","row_count":10302,"sampled_rows":10302,"seed":42,"source":"/home/coolhand/datasets/accessibility-atlas/cms_medicaid_enrollment_2026.csv"},"notes":[],"saturn_version":"0.2.0","schema":{"Applications for Financial Assistance Submitted to the State Based Marketplace":"numeric","Applications for Financial Assistance Submitted to the State Based Marketplace - footnotes":"categorical","Average Call Center Abandonment Rate":"numeric","Average Call Center Abandonment Rate - footnotes":"categorical","Average Call Center Wait Time (Minutes)":"numeric","Average Call Center Wait Time (Minutes) - footnotes":"categorical","Final Report":"categorical","Individuals Determined Eligible for CHIP at Application":"numeric","Individuals Determined Eligible for CHIP at Application - footnotes":"categorical","Individuals Determined Eligible for Medicaid at Application":"numeric","Individuals Determined Eligible for Medicaid at Application - footnotes":"categorical","Medicaid and CHIP Child Enrollment":"numeric","Medicaid and CHIP Child Enrollment - footnotes":"categorical","New Applications Submitted to Medicaid and CHIP Agencies":"numeric","New Applications Submitted to Medicaid and CHIP Agencies - footnotes":"categorical","Preliminary or Updated":"categorical","Reporting Period":"numeric","State Abbreviation":"categorical","State Expanded Medicaid":"categorical","State Name":"categorical","Total Adult Medicaid Enrollment":"numeric","Total Adult Medicaid Enrollment - footnotes":"categorical","Total Applications for Financial Assistance Submitted at State Level":"numeric","Total Applications for Financial Assistance Submitted at State Level - footnotes":"categorical","Total CHIP Enrollment":"numeric","Total CHIP Enrollment - footnotes":"categorical","Total Call Center Volume (Number of Calls)":"numeric","Total Call Center Volume (Number of Calls) - footnotes":"categorical","Total Medicaid Enrollment":"numeric","Total Medicaid Enrollment - footnotes":"categorical","Total Medicaid and CHIP Determinations":"numeric","Total Medicaid and CHIP Determinations - footnotes":"categorical","Total Medicaid and CHIP Determinations Processed Between 24 Hours and 7 Days":"numeric","Total Medicaid and CHIP Determinations Processed Between 24 Hours and 7 Days - footnotes":"categorical","Total Medicaid and CHIP Determinations Processed Between 8 Days and 30 Days":"numeric","Total Medicaid and CHIP Determinations Processed Between 8 Days and 30 Days - footnotes":"categorical","Total Medicaid and CHIP Determinations Processed between 31 days and 45 days":"numeric","Total Medicaid and CHIP Determinations Processed between 31 days and 45 days - footnotes":"categorical","Total Medicaid and CHIP Determinations Processed in Less than 24 Hours":"numeric","Total Medicaid and CHIP Determinations Processed in Less than 24 Hours - footnotes":"categorical","Total Medicaid and CHIP Determinations Processed in More than 45 Days":"numeric","Total Medicaid and CHIP Determinations Processed in More than 45 Days - footnotes":"categorical","Total Medicaid and CHIP Enrollment":"numeric","Total Medicaid and CHIP Enrollment - footnotes":"categorical"}}