Description:

You will learn how to transform raw tables with numbers into interactive and human-readable charts. We will start with the overview of basic chart types, when to use a specific type and how to make it easy to read. Then we will learn how to create and adjust these plots using plotly in Python.  

Outline:

1. Basic types of charts (Line chart, Bar chart, Scatterplot, etc.).
2. Some good/bad examples.
3. Rule of thumb for creating a chart (sections 1-3 are ~1.5 hours in total).
4. Plotly (~3.5 hours):
   1. Basic charts.
   2. Map charts.
   3. 3D charts.
   4. Subplots.
   5. Custom controls (buttons, sliders).
   6. Animations.

Who is the workshop for:

Data analysts, data scientists, data visualization specialists or any other people who are involved (interested) in creating data visualization.

Key skills:

After this workshop you will get the idea of how to:

Duration: 5 hours.

Requirements: Python experience. Basic experience with visualization packages (like Matplotlib or Seaborn) is a plus.