F1-Project - Data Analysis Project

Introduction:

Hi, I’m Tomer, I’m currently learning at New York City Data Science Academy.
In this project, I’m practicing working with Python, Git and GitHub.

Data:

The F1-data came from here: https://www.kaggle.com/datasets/rohanrao/formula-1-world-championship-1950-2020
When the last update was on August 2023.

I also used this data for the countries list: https://www.kaggle.com/datasets/rinichristy/countries-gdp-19602020

Getting started:

I used a few different kinds of visual techniques for practice and to visualize the data. Such as:

pandas , matplotlib , seaborn , plotly.graph_objects , plotly.express , squarify , Waffle , PIL and many more.

In case you want to run this code, my file path for the csv files is: archive/'file_name'.

So if you’re trying to run my code, make sure to put the .ipynb files in the same folder that contains your archive folder.

How does it work?

I have created three separate files, one for each question in my presentation. Instead of focusing on individual drivers, I have attempted to showcase a story of F1 success by the country. These files contain a variety of visual aids that I utilized during my presentation.
Here is the link to watch the presentation: https://drive.google.com/file/d/1o3_3EPgU5LrIMGDoZWSp2puTbvg4l0Br/view?usp=drive_link

Thank you!