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Visualization Exercises with Matplotlib and Seaborn

Difficulty

  • easy

Average duration

2 hrs

Technologies

Difficulty

  • easy

Average duration

2 hrs

Technologies

    Python

  • matplotlib

  • data visualization

  • seaborn

📝 Instructions

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).

image-kernel

  1. 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.

image-devcontainer

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:

    1git add . 2git commit -m "Completed exercises"
  2. Push the changes to GitHub with:

    1git push origin main

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Difficulty

  • easy

Average duration

2 hrs

Technologies

    Python

  • matplotlib

  • data visualization

  • seaborn

Difficulty

  • easy

Average duration

2 hrs

Technologies

    Python

  • matplotlib

  • data visualization

  • seaborn

Difficulty

  • easy

Average duration

2 hrs

Technologies

    Python

  • matplotlib

  • data visualization

  • seaborn

Difficulty

  • easy

Average duration

2 hrs

Technologies

    Python

  • matplotlib

  • data visualization

  • seaborn

Sign up and get access to solution files and videos for free

We will use it to give you access to your account.
Already have an account? Login here.

By signing up, you agree to the Terms and conditions and Privacy policy.

Difficulty

  • easy

Average duration

2 hrs

Technologies

    Python

  • matplotlib

  • data visualization

  • seaborn

Difficulty

  • easy

Average duration

2 hrs

Technologies

    Python

  • matplotlib

  • data visualization

  • seaborn