Python: Data Analytics and Visualization

Summary

The main learning outcomes of this chapter are summarized as follows:

• Various methods and variations in importing a dataset using pandas: read_csv and its variations, reading a dataset using open method in Python, reading a file in chunks using the open method, reading directly from a URL, specifying the column names from a list, changing the delimiter of a dataset, and so on.
• Basic exploratory analysis of data: observing a thumbnail of data, shape, column names, column types, and summary statistics for numerical variables
• Handling missing values: The reason for incorporation of missing values, why it is important to treat them properly, how to treat them properly by deletion and imputation, and various methods of imputing data.
• Creating dummy ...