Score column
I'm exploring the 'score' column in the dataset. It's a very skewed distribution, and I'm hoping to get insights on how best to handle it for a better visualization.
Key Observations:
Distribution: The 'score' is heavily right-skewed, with most values near 0. The Histogram (raw) shows that the density is mostly high around 0 and fades after 20,000 (even though dataset goes up to 140,000), making the graph representation problematic.
Range: The "Raw Score" has an upper limit of 140,000
Outliers: Using 3 standard deviations from the mean Z score, flagged potential outliers as significant.
Specific Questions:
Why this skew? Could the skew be due to algorithmic bias or popularity dynamic within the dataset? Does anyone know if the number of downloads influences the score?
Alternative approach? What are the downside of removing/Filtering Z-scores > 3 in such dataset? Any cleaner approach that has less risks, regarding data alterations?