Data exploration and transformation

Once the data has been loaded, the next step is to prepare the data so that it can be transformed. In this section, we will cover how to perform data exploration so that we understand how the modify the data as necessary.

Data exploration

Data exploration is a critical step in data analysis as it sets the stage for successful insights and informed decision-making. By delving into the data, analysts can deeply understand its characteristics, uncover underlying patterns, and identify potential issues or outliers. Exploring the data provides valuable insights into its structure, distribution, and relationships, enabling analysts to choose the appropriate data transformation techniques.

Understanding the data’s characteristics and patterns helps analysts determine the appropriate transformations and manipulations needed to clean, reshape, or derive new variables from the data. Additionally, data exploration aids in identifying subsets...