Build a Dashboard using R
About
Chapter 9: Information Visualization covers the case study on Build a Dashboard using R.
How to Cite
Please cite this compendium as: Lamba, Manika & Madhusudhan, Margam. (2021). Build a Dashboard using R (Version 1.2). https://doi.org/10.5281/zenodo.5203304
Contents
The compendium contains the code associated with the case study. The flexboard_R.Rmd file contains the R code for the case study.
How to Download or Install
There are several ways to use the compendium’s contents and reproduce the analysis:
-
Download the compendium as a zip archive from the GitHub repository.
- After unpacking the downloaded zip archive, you can explore the files on your computer.
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Reproduce the analysis in the cloud without having to install any software. The same Docker container replicating the computational environment used by the authors can be run using BinderHub on mybinder.org:
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Click RStudio:
to launch an interactive
RStudio session in your web browser for hands-on practice for the case study. In the virtual environment, open the flexboard_R.Rmdfile to run the code. -
Click Jupyter+RMarkdown:
to launch an interactive
Jupyter Notebook session in your web browser using
R kernel to execute
R Markdown Notebook session in your web browser. When you execute code within the notebook, the results appear beneath the code.
^ Limitations of Binder
- The server has limited memory so you cannot load large datasets or run big computations.
- Binder is meant for interactive and ephemeral interactive coding so an instance will die after 10 minutes of inactivity.
- An instance cannot be kept alive for more than 12 hours.
-
Visualize the Results
A storyboard is built to summarize the visualizations for 13 case studies performed in the book. To know more about the case studies, and the methodology used to get the results, read the book.
Licenses
Text and Figures: ©2021 Lamba and Madhusudhan - all rights reserved, unless stated otherwise.
Code, Data, Hex-sticker: MIT License