Description of the Project
This project contains application of manipulation, cleaning, analysis and visualization operations on various csv files using pandas, numpy and math plot libraries. The csv files mentioned contained NBA-related game, player, match, team and score information.
During the manipulation phase, you can see the application of operations such as matching the data in different csv files and categorizing the given values. Cleaning part focused on making sense of the NaN data and in the analysis part focused on making inferences from the data. It includes some analyzes as a result of the visuals I have created by using histograms, plotting, pie charts and bar charts.
Examples from the Visualization Operations
- Below, you can see winnng percentages of the teams according to the place of the game
- Distribution of the player impact can be seen from the histogram
- Winning percentages according to the team abbreviations can be examined from the bar chart
