GitHub Repository: guipsamora/pandas_exercises
Path: blob/master/07_Visualization/Scores/Solutions.ipynb
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Kernel: Python 2

Scores

Introduction:

This time you will create the data.

Exercise based on Chris Albon work, the credits belong to him.

Step 1. Import the necessary libraries

In [1]:

import pandas as pd
import matplotlib.pyplot as plt
import numpy as np

%matplotlib inline

Step 2. Create the DataFrame it should look like below.

In [2]:

Out[2]:

Step 3. Create a Scatterplot of preTestScore and postTestScore, with the size of each point determined by age

Hint: Don't forget to place the labels

In [5]:

Out[5]:

<matplotlib.text.Text at 0x114e89d10>

Image in a Jupyter notebook

Step 4. Create a Scatterplot of preTestScore and postTestScore.

This time the size should be 4.5 times the postTestScore and the color determined by sex

In [10]:

Out[10]:

<matplotlib.text.Text at 0x11608c250>

Image in a Jupyter notebook

BONUS: Create your own question and answer it.

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