NBA Historical Player Analysis (1996–2023)

Make a chart of Top 10 "college" by sum("pts"+"reb"+"ast")

Make a chart of Top 10 "pts" by "player_name" "season" Display "player_name" "season" , show "pts" label

Make a "stacked bar plot" chart of Top 10 "pts"+"reb"+"ast" by "player_name" "season" Display "player_name" "season" on bar, show number on bar label

Make a chart of Top 10 "reb" by "player_name" "season" Display "player_name" "season" , show value label

Scatter Plot: Volume vs. Efficiency Axes: average usg_pct (Usage Rate) vs. average ts_pct (True Shooting %). Filter data: Only show average pts >= 20 and average usg_pct> 0.3 or average ts_pct > 0.5 Display info: bubble small, one color show player_name, show avg pts.

Make a Chart of "Top 10 average usg_pct as %", as Top 10 Number One Pick ... Data Filter: draft_number = 1

Make a Chart of "Top 10 average pts", as Top 10 Number One Pick Data Filter: draft_number = 1

Radar Chart of Player: Machael Jordan, Kobe Bryant, LeBron James Select average PTS, AST, REB, and TS_PCT as the four key dimensions for performance analysis. Show data labels clearly.

Bubble Chart: Player Height vs. Rebounding Axes: average player_height(height maybe change) vs. average reb. Filter data: average reb > 9 Display: show play_name and average dreb_pct in %.