The objective of the project is to interact with various file types (CSV, HTML, APIs, etc.), perform cleaning techniques, and then bring the data together and store it in a database. The project is broken down into five project milestones.

Professional Football Hall of Fame- The primary data set used for this analysis is the "HeismanHOF.csv" file containing information about Hall of Famers. Fantasy Football Data Pros NFL Combined Results- The data set describes scouting statistics for players from 1987-2023

-Jupyter Notebook -Data Cleaning with Python
-SQL Server Management Studio - Table creation and simple queries

In the initial data preparation phase, the following tasks were performed:

1. Data loading and inspection
2. Handling missing values
3. Data cleaning and formatting

The analysis findings are summarized as follows:

Based on the analysis, it is recommended that the following: