Purchase Analysis of purchasers broken down by gender, age, and user ID utilizing Jupyter notebooks, python, and the pandas library.
-
Updated
Feb 10, 2021 - Jupyter Notebook
Purchase Analysis of purchasers broken down by gender, age, and user ID utilizing Jupyter notebooks, python, and the pandas library.
Project examines factors affecting the change in car sales between 2019 and 2020 utilizing real world data, python, pandas, matplotlib and jupyter notebook.
Statistical analysis of a pharmaceutical study on 249 mice to determine the relative success of one drug over 9 competitors. The project utilized Python, Pandas in Jupyter Notebook, and Matplotlib to visualize the data.
In this series, we're going to learn the fundamentals of the popular Python data science tool called Pandas.
Add a description, image, and links to the python-pandas topic page so that developers can more easily learn about it.
To associate your repository with the python-pandas topic, visit your repo's landing page and select "manage topics."