2. Static Visualization – Global Patterns and Summary Statistics

Activity 2: Design Static Visualization to Present Global Patterns and Summary Statistics

Solution

1. Load the necessary python modules and download the Olympic History dataset hosted in the book's 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
   # 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-master/datasets/athlete_events.csv')
   # preview DataFrame
   olympics_df.head()

   The output is as follows:

   Figure 2.22: Olympic History dataset

2. Filter the DataFrame to contain only the medal winners of the year 2016 for the sports mentioned in the activity description:

   # filter...