https://github.com/navdeep-g/edastudio

A Shiny Application for Exploring Data
https://github.com/navdeep-g/edastudio

data-mining data-science data-visualization ggplot2 r shiny

Last synced: 13 days ago
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A Shiny Application for Exploring Data

• Host: GitHub
• URL: https://github.com/navdeep-g/edastudio
• Owner: navdeep-G
• Created: 2016-11-10T00:36:55.000Z (about 8 years ago)
• Default Branch: master
• Last Pushed: 2019-05-25T00:48:40.000Z (over 5 years ago)
• Last Synced: 2024-11-06T03:54:59.104Z (2 months ago)
• Topics: data-mining, data-science, data-visualization, ggplot2, r, shiny
• Language: R
• Homepage:
• Size: 17.6 KB
• Stars: 2
• Watchers: 3
• Forks: 1
• Open Issues: 4
• Metadata Files:
  • Readme: README.md

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README

        
# A Shiny Application for Exploring Data

- `EDAStudio` allows a user to quickly explore data on the fly by utilizing the power of Shiny and ggplot2 

- You can do the following:

  - scatter plots

  - dotplots

  - boxplots

  - histograms

  - densities

# CSV Data Input

 - Essentially utilizes `read.csv` -> `read.csv("yourdata.csv",na.strings = c("NA","."))`

# Data Manipulations

 - Change continuous variable to be treated as categorical

 - Change continuous variable to categories with a specified number of bins or by supplying values for the bins start/end

 - Up to six sequential filters for categorical and continuous variables

 - Renaming and reordering of the levels of a categorical variable

 - Combining two categorical variables into one

 - Rounding a numerical variable to a specified number of digits

 

# `ggplot2` functionality

 - Group, color, size, fill mappings

 - Controlling y and x axis labels, legends and other commonly used theme options.