This repository provides materials for a session that is part of the I2DS Tools for Data Science workshop run at the Hertie School, Berlin in November 2021. The student-run workshop is part of the course Introduction to Data Science taught by Simon Munzert at the Hertie School, Berlin, in Fall 2021.
This session will teach you how to build interactive graphics with R and plotly. Good data visualization is critical for communicating findings effectively. plotly makes it easy to build beautiful and engaging graphics that will wow your audience.
The goals of this session are to (1) equip you with conceptual knowledge about the plotly package and data visualization workflow, (2) demonstrate key features of the package and (3) provide you with practice material as well as some further readings.
- Julian Kath
- Steve Kerr (GitHub)
- plotly Cheat Sheet
- plotly overview at plotly-r.com
- Getting started with plotly at plotly.com
- Augmenting ggplot2 with plotly at plotly.com
The material in this repository is made available under the MIT license.
Julian Kath prepared the presentation slides, recording, and examples for the practice material.
Steve Kerr prepared the presentation slides, recording, and practice materials.