Environment Setup and Data Loading
Before performing any analysis, we must prepare our working environment and load the weather dataset into Python. Data analysis begins with understanding the structure of the data and ensuring that it has been imported correctly.
In this module, we will set up the required libraries, load the weather dataset, inspect its structure, and perform an initial audit of the available information. These steps form the foundation of any successful data analysis project.
Prerequisites
Before starting this project, ensure you have access to the following:
Google Colab
Google Colab provides a cloud-based environment where Python code can be executed directly in a web browser without any installation.
Google Account
A Google account is required to access Google Colab.
Basic Python Knowledge
Understanding basic Python concepts such as variables, functions, and DataFrames will be helpful.
Weather Dataset
The project uses a CSV file containing weather observations.
Example:
weather_data.csv










