saturn

This tiny dataset categorises insect-based food products into 7 form types and records how many products fall into each category. With only 7 rows, the big story is the extreme skew in counts: most form types have just 1–6 products, but one outlier category reaches 57, pulling the mean (10.7) far above the median (3.0). That dominant category is worth identifying immediately, as it likely represents the most commercially developed segment of the edible-insect market. The high standard deviation (20.6) confirms the distribution is anything but uniform.

This column appears to be a frequency or occurrence count, likely recording how many times something was observed across 7 rows with only 4 distinct values. The distribution is severely right-skewed (skew = 1.96) with one outlier: the max of 57.0 sits far above the median of 3.0 and mean of 10.71, pulling the standard deviation to 20.61 — an unusually high spread for such a small dataset. With only 7 rows total, this column provides very limited statistical signal.

This column contains product category names for what appears to be an insect-based food product taxonomy, with 7 distinct categories such as 'Whole Insects', 'Flour/Powder', 'Snack Bars', and 'Crackers'. Every category appears exactly once (top_rate = 0.143, equal to 1/7), yielding a perfectly uniform distribution and maximum entropy ratio of 1.0. The 'long_tail' alert is a statistical artefact of this uniformity rather than a genuine skew signal. With only 7 rows and 7 unique values, this is likely a small reference/lookup table rather than a transactional dataset.