8 Analyzing tables using Pandas
This section covers
- Storing 2D tables using the Pandas library
- Summarizing 2D table content
- Manipulating row and column content
- Visualizing tables using the Seaborn library
The ad-click data for case study 2 is saved in a two-dimensional table. Data tables are commonly used to store information. The tables may be stored in different formats: some tables are saved as spreadsheets in Excel, and others are text-based CSV files in which the columns are separated by commas. The formatting of a table isn’t important. What is important is its structure. All tables have structural features in common: every table contains horizontal rows and vertical columns, and quite often, column headers also hold explicit column names. ...
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