https://github.com/corneliustanui/statsreporter

An interactive shiny-based data analysis tool.
https://github.com/corneliustanui/statsreporter

data-science dataanalysis dataanalytics r shiny shiny-apps

Last synced: 5 months ago
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An interactive shiny-based data analysis tool.

• Host: GitHub
• URL: https://github.com/corneliustanui/statsreporter
• Owner: corneliustanui
• License: gpl-3.0
• Created: 2023-12-07T14:15:53.000Z (over 2 years ago)
• Default Branch: main
• Last Pushed: 2024-01-20T22:47:14.000Z (about 2 years ago)
• Last Synced: 2025-01-31T07:29:59.358Z (about 1 year ago)
• Topics: data-science, dataanalysis, dataanalytics, r, shiny, shiny-apps
• Language: R
• Homepage: https://corneliuskiplimo.shinyapps.io/StatsReporter/
• Size: 352 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# QSR

[![Deploy App](https://github.com/corneliustanui/StatsReporter/actions/workflows/deploy-shinyapp.yml/badge.svg)](https://github.com/corneliustanui/StatsReporter/actions/workflows/deploy-shinyapp.yml)

The [Quick Stats Reporter(QSR)](https://corneliuskiplimo.shinyapps.io/StatsReporter/) generates tabular reports in `.csv`, `.pdf`, & `.htlm` and graphical reports in `.png`, `.pdf`, & `.svg` formats for basic descriptive statistical analyses:

### Univariate analysis

The univariate analysis entails reporting frequencies and percentages of a primary categorical variable, or means, medians, standard deviation, minimum, maximum, and standard error of the mean of a primary numerical variable. Such a table is shown below.

![](./www/primary_table.png)

### Bivariate analysis

The bivariate analysis entails reporting frequencies and percentages of a primary categorical variable, or means, medians, standard deviation, minimum, maximum, and standard error of the mean of a primary numerical variable by categories of another grouping variable (secondary variable). The analysis also reports test statistics (Chi-square is used when the primary variable is categorical, while Kruskal-Wallis is used when the primary variable is numeric.) Such a table is shown below.

![](./www/secondary_table.png)

### Trivariate analysis

The trivariate analysis entails reporting frequencies and percentages of a primary categorical variable, or means, medians, standard deviation, minimum, maximum, and standard error of the mean of a primary numerical variable by categories of two grouping variables (secondary and tertiary variables). The analysis also reports test statistics (Chi-square is used when the primary variable is categorical, while Kruskal-Wallis is used when the primary variable is numeric.). The trivariate analysis report is only available in .html and .pdf formats. Such a table is shown below.

![](./www/tertiary_table.png)