saturn

This dataset contains 1,433 rows of Olympic medal counts by country and year, spanning 1896 to 2024 across 165 countries. Medal columns (gold, silver, bronze, total) are heavily right-skewed with high kurtosis and many outliers — a small number of dominant nations pull the means well above the medians (e.g. total has a median of 5 but a max of 234). Zero-rates are notable too: 33.9% of rows have zero gold medals and 25.3% zero silver, reflecting how often countries leave a Games empty-handed in a category. Country participation is fairly even at the top, with France and Great Britain tied as most-frequent entries (30 appearances each). Start by examining the shape of `total` and `gold` distributions and the `year` coverage to understand era effects.

Four-digit calendar years spanning 1896 to 2024 with 30 distinct values across 1,433 rows and no nulls. The distribution is left-skewed (skew -0.76) toward recent decades, with a median of 1992 and IQR from 1960 to 2008, suggesting coverage is sparser in the early 20th century. No outliers were flagged.

Three-letter country codes (e.g., FRA, GBR, USA, DEN, SUI) covering 159 distinct nations across 1433 rows with no nulls. The distribution is remarkably flat — the top value FRA accounts for only 2.1% of rows and entropy ratio is 0.92, so no country dominates. Top counts cluster tightly between 28 and 30, suggesting a near-uniform sampling design rather than organic population weights.

Categorical country labels with 165 distinct values across 1433 rows and no nulls. Distribution is remarkably flat — the top value 'France' covers only 2.09% of rows, and the top ten countries each appear 28–30 times, giving an entropy ratio of 0.91 (near-uniform). This looks like a panel where each country contributes a similar number of observations rather than a skewed real-world sample.

Numeric count-style feature 'gold' ranging from 0 to 83 with median 1 and mean 4.06, so most rows sit near zero (zero_rate 0.339) while a long tail pulls the average up. Distribution is severely right-skewed (skew 4.26, kurtosis 23.14) with 134 outliers (9.35% of rows) above the q3 of 4. Only 52 unique values across 1433 rows suggests a discrete tally rather than a continuous measurement.

A non-negative integer-like count of silver medals or items, with 45 distinct values ranging 0 to 79 and a median of 2. The distribution is heavily right-skewed (skew 4.03, kurtosis 23.2) with 25.3% zeros and 9.8% flagged as outliers, so a small set of large counts dominates the mean (4.04) versus the median.

This is a count of bronze medals (or similar bronze-tier tally) per record, with 1433 rows, 44 distinct integer values from 0 to 78, and no nulls. The distribution is heavily right-skewed (skew 3.37, kurtosis 16.94): the median is 2 and Q3 is 5, yet the max reaches 78, producing 150 outliers (10.5%). Roughly 19.8% of rows are zero, so a sizeable share of entities have never won bronze.

This appears to be a count-style numeric feature (total), heavily right-skewed: the median is 5 while the mean is 12.5 and the max reaches 234. Skew of 3.92 and kurtosis of 20.8 confirm a long tail, with 151 values (10.5%) flagged as outliers. No nulls or zeros, and only 97 unique values across 1,433 rows, suggesting a discrete count with a small repeating vocabulary.

Integer-valued ranking field spanning 1 to 93 with 93 unique values across 1433 rows, suggesting a complete rank table repeated many times (e.g., per period or per group). Distribution is right-skewed (skew 0.74) with median 26 below mean 31.06, so lower ranks dominate while a tail extends toward 93. No nulls, no zeros, and no outliers flagged given the bounded range.