Aspire     Data Visualization Mastery     Data Visualization Track 4: Data Visualization with Python

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Perform data visualization tasks such as creating an Infogram project, building an infographic and creating box-and-wisker plots, line charts and histograms. Then visualize relationships using a scatter plot, create a bar chart using Bokeh, and create a box chart using Plotly.
This lab provides access to tools typically used for data visualization, including:
- Jupyter Notebook
- matplotlib
- numpy
- pandas
- Plotly
- Bokehh
This lab is aligned to the Creating Infographics for Data Visualization and Data Visualization with Python tracks of the Aspire Data Visualization journey.

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