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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.

Latihan ini adalah bagian dari kursus

Introduction to Data Visualization with Plotly in Python

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Latihan interaktif praktis

Cobalah latihan ini dengan menyelesaikan kode contoh berikut.

# Create and show the plot
fig = px.scatter(
  data_frame=bball_data,
  x="____", 
  y="____",
  title="Field Goal Percentage vs. Points Per Game")
fig.show()
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