Prerequisites To run this project, you need to have the following libraries installed: - pandas - numpy - seaborn - matplotlib
1 Loading the Data: Import the data into a pandas DataFrame.
2 Checking for Missing Values: Ensure there are no missing values in critical columns.
3 Data Cleaning: Convert data types and handle missing values.
This mini project provides a comprehensive guide to identifying highly expressed genes using pandas and related libraries