# Unit 6: Data Visualization

## Learning Objectives

In this unit, we'll learn how to use Python to create business intelligence and analytics tools. We'll use third-party Python packages to analyze and visualize insights gleaned from CSV data.

## Discussions and Notes

* Business Intelligence and Data Visualization
* Metrics and Key Performance Indicators (KPIs)

## Reference Documents

* Data Visualization in Python:
  * [The `matplotlib` Package](https://prof-rossetti.gitbook.io/intro-to-python/notes/python/packages/matplotlib)
  * [The `plotly` Package](https://prof-rossetti.gitbook.io/intro-to-python/notes/python/packages/plotly)
  * [The `altair` Package](https://prof-rossetti.gitbook.io/intro-to-python/notes/python/packages/altair)
  * [The `seaborn` Package](https://prof-rossetti.gitbook.io/intro-to-python/notes/python/packages/seaborn)

## Activities and Exercises

* "Chart Gallery" Exercise ([Local](https://prof-rossetti.gitbook.io/intro-to-python/exercises/chart-gallery) | [Colab](https://github.com/prof-rossetti/intro-to-python/tree/586132cf91c15c2247224231bc941697e173270d/exercises/chart-gallery/Chart_Gallery_Exercise.ipynb))
* ["Executive Dashboard" Project](https://prof-rossetti.gitbook.io/intro-to-python/projects/exec-dash)