1. Introduction to Visualization with Python – Basic and Customized Plotting

Activity 1: Analyzing Different Scenarios and Generating the Appropriate Visualization

Solution

1. Download the dataset hosted on the book GitHub repository, and format it as a pandas DataFrame:

   # load necessary modules
   import pandas as pd
   import seaborn as sns
   from numpy import median, mean

2. Read the dataset as a pandas DataFrame:

   # download file 'athlete_events.csv' from course GitHub repository: https://github.com/TrainingByPackt/Interactive-Data-Visualization-with-Python/datasets
   # read the dataset as a pandas DataFrame
   olympics_df = pd.read_csv('..../Interactive-Data-Visualization-with-Python/datasets/athlete_events.csv')
   # preview DataFrame
   olympics_df.head()

   The output is as follows:

   Figure 1.32: Olympics dataset

3. Filter the DataFrame to contain only medal winners of the year 2016:

   # filter the DataFrame to contain medal winners only (for non-winners, the Medal feature...