Clean and Analyze Data
Data Cleaning:
The first step in cleaning and analyzing data is to remove any errors, inconsistencies, or duplications. This involves identifying and addressing missing or incomplete data, correcting data entry errors, and ensuring that the data is in a consistent format. Data cleaning also involves identifying outliers or anomalies that might skew the analysis and addressing them appropriately.
