This is my submission for the week3datadive where I analyze shooting efficiencies grouped by position, teams, and age. I also analyze team roster construction by analyzing the combinations of teams and positions to understand how teams are building their rosters to maximize offensive success.

I've documented the full technical methodology, including the Poisson distribution for xPts and the weighted predictive model. Check out the full report here

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data 606 lab 1

Since the beginning of the 2000s, Poles clustered themselves mainly between right-wing conservatives Law and Justice electors and liberals who vote for the Civic Platform. In this study, by using opinion poll based data, we try to identify interesting discriminating factors of those two electorates. By using contrast set mining, we try to find conjunctions of attributes and values that differ meaningfully in their distributions across groups.

This data dive explores NBA player data of unexpected performance, using grouping and probabilities to spot common patterns and rare cases, with visualizations and short interpretations along the way.