Data Visualization with Matplotlib and Seaborn

In this practice, you will learn to solve the proposed exercises by applying basic and fundamental visualization techniques, using matplotlib to create more customizable graphs from scratch, and seaborn to generate more elegant statistical graphs with less code.

🌱 How to start this project

Follow these instructions:

1. Create a new repository by forking the Git project or clicking here.
2. Open the newly created repository in Codespace using the Codespace button extension.
3. Once the VSCode Codespace has finished opening, start your project by following the instructions below.

📝 Instructions

1. Once you start working on the project, you will see a file ./notebook/problems.ipynb that contains a series of exercises.

2. Before starting, make sure to select the appropriate Kernel.

   • When you open the notebook, a message will appear at the top indicating "Select Kernel".
   • Click on "Select Kernel" (as shown in the image).

3. A list of available options will be displayed. Select "Python Environments" and choose the version of Python you want to use.

   • Make sure to select the version specified in the devcontainer.json file, as this is the recommended one for the project.

Solution: https://github.com/4GeeksAcademy/visualization-exercises-with-matplot-and-seaborn/blob/main/notebook/solutions.ipynb

🚛 How to submit this project

Once you complete the exercises, follow these steps to submit them correctly:

1. Save and commit the changes in your local repository:

   git add .
   git commit -m "Completed exercises"

2. Push the changes to GitHub with:

   git push origin main

3. Go to 4Geeks.com to submit the link to your repository.