https://github.com/teamquandrum/DataVisualizationTool
Ordell Ugo Data Visualization Tool is a tool that helps visualize R ready data sets without knowing how to code in R. The GUI is written in Shiny and allows for reactive input from the user, and any dataset of his choice can be visualized. Currently supports StackOverflow, Tab Plots, Histograms, Line Graphs, Scatter Plots, Box Plots, Pareto Charts, QQ Plots, PP Plots and Time Series visualization.
https://github.com/teamquandrum/DataVisualizationTool
Last synced: 4 months ago
JSON representation
Ordell Ugo Data Visualization Tool is a tool that helps visualize R ready data sets without knowing how to code in R. The GUI is written in Shiny and allows for reactive input from the user, and any dataset of his choice can be visualized. Currently supports StackOverflow, Tab Plots, Histograms, Line Graphs, Scatter Plots, Box Plots, Pareto Charts, QQ Plots, PP Plots and Time Series visualization.
- Host: GitHub
- URL: https://github.com/teamquandrum/DataVisualizationTool
- Owner: teamquandrum
- Created: 2015-04-28T05:49:17.000Z (almost 10 years ago)
- Default Branch: master
- Last Pushed: 2015-04-28T06:14:29.000Z (almost 10 years ago)
- Last Synced: 2024-08-13T07:14:40.080Z (8 months ago)
- Language: R
- Size: 730 KB
- Stars: 6
- Watchers: 3
- Forks: 2
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
- jimsghstars - teamquandrum/DataVisualizationTool - Ordell Ugo Data Visualization Tool is a tool that helps visualize R ready data sets without knowing how to code in R. The GUI is written in Shiny and allows for reactive input from the user, and any d (R)
README
Ordell Ugo Data Visualization Tool is a tool that helps visualize R ready data sets without knowing how to code in R. The GUI is written in Shiny and allows for reactive input from the user, and any dataset of his choice can be visualized. Currently supports StackOverflow, Tab Plots, Histograms, Line Graphs, Scatter Plots, Box Plots, Pareto Charts, QQ Plots, PP Plots and Time Series visualization.