Analyzing basketball stats
A national basketball team has contracted you to help them visualize and understand key player stats for their top 50 players.
They have requested that you create a plot comparing players' "Field Goal Percentage" (FGP) to their "Points Per Game" (PPG). This sounds like a great opportunity to utilize your scatterplot skills!
It is important that this graph is comparable to their other graphs. Therefore, all axes need to start at 0 and the y-axis (FGP) needs to have a range of 0-100, since it is a percentage.
You have a bball_data DataFrame available with columns FGP and PPG.
This exercise is part of the course
Introduction to Data Visualization with Plotly in Python
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Create and show the plot
fig = px.scatter(
data_frame=bball_data,
x="____",
y="____",
title="Field Goal Percentage vs. Points Per Game")
fig.show()