Welcome to the GitHub repository for the "Interactive Graphs with Plotly and Dash" session, part of the I2DS Tools for Data Science workshop run at the Hertie School, Berlin in October 2023. The student-run workshop is part of the course Introduction to Data Science taught by Simon Munzert at the Hertie School, Berlin, in Fall 2023.
We will dive into the fascinating world of interactive data visualization with this structured workshop, designed to introduce you to the powerful capabilities of Plotly and Dash in R.
- Presentation Slides [.html] [.Rmd]
- Live Tutorial [.Rmd]
- Live Tutorial Solutions [.html]
- Data [Breweries and Beers by Style and US State] [Berlin Public Toilet]
In a data-intensive world, understanding and communicating complex data effectively is crucial. This workshop introduces the importance of interactive graphics in data science and the capabilities of Plotly and Dash, two great tools for creating vibrant visual narratives.
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Introduction to Data Visualization
- Importance of data visualization
- The role of interactivity in enhancing data comprehension
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Plotly An introduction to the R library, its benefits, and some visualization examples .
- What is Plotly?
- Advantages of using Plotly
- Main distinctive features: the building blocks
- Examples and code breakdown
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Dash A primer on this web application framework, its integration with Plotly, and some dashboard demo examples.
- What is Dash? Why integrate with Plotly?
- Key features
- Advantages of using Dash
- Examples and code breakdown
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Live Tutorial: A hands-on session covering:
- Setting up the environment
- Basic Plotly visualization: introducing interactivity
- From ggplot2 to Plotly
- An intro to Dash and dashboards
Description: This dataset offers a detailed insight into beer consumption trends across US states, covering aspects like craft beer production, overall beer consumption, and brewery count.
Link: Breweries and Beers by Style and US State Data
Description: This dataset offers data of all public restrooms in Berlin, with a bunch of variables such as location, price, wheelchair accessibility and changing table availability.
Link: Berlin Public Toilet Data
Here's a short list of resources if you want to dig deeper:
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Interactive web-based data visualization with R - If you are really thunderstruck by interactive visualization, check out this book!
The material in this repository is made available under the MIT license.
Giorgio, Gayatri, and Lonny wrote the code for Plotly, GGPlotly, and Dash, and prepared the presentation and practice material together. They contributed equally to all workshop materials