Recently, one of the Data School Coaches, Robbin, set the following challenge. It seemed perfect for a Preppin' Data, so over to Robbin:
We'd like to get historical data on the highest paid athletes so we can do temporal analysis.
Lucky us, it turns out Wikipedia has been tracking the Forbes list of the world's highest-paid athletes. Unlucky us, it is in an HTML table format with human readable symbols and table by table basis. Now it's time for you to clean it up into one single dataset, so that it's ready for analysis.
We'd like to get historical data on the highest paid athletes so we can do temporal analysis.
Lucky us, it turns out Wikipedia has been tracking the Forbes list of the world's highest-paid athletes. Unlucky us, it is in an HTML table format with human readable symbols and table by table basis. Now it's time for you to clean it up into one single dataset, so that it's ready for analysis.