The most important step in data science is to prepare the data. Data preparation is the process of cleaning, processing, and transforming the raw data for analysis. From this stage, the errors in the data can be effectively handled by cleaning, identifying the missing values, handling outliers, etc. Hence, this chapter discusses the methodologies used to prepare the data using the Pandas package in Python.
Pandas and Data Structures
Pandas is a software library written for the Python programming language that ...
