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.
- Basic types of charts (Line chart, Bar chart, Scatterplot, etc.).
- Some good/bad examples.
- Rule of thumb for creating a chart (sections 1-3 are ~1.5 hours in total).
- Plotly (~3.5 hours):
- Basic charts.
- Map charts.
- 3D charts.
- Custom controls (buttons, sliders).
Who is the workshop for:
Data analysts, data scientists, data visualization specialists or any other people who are involved (interested) in creating data visualization.
After this workshop you will get the idea of how to: