https://github.com/jimbrig/eda

Exploratory Data Analysis R Package and Shiny App
https://github.com/jimbrig/eda

data-analysis data-visualization eda r shiny

Last synced: 2 days ago
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Exploratory Data Analysis R Package and Shiny App

• Host: GitHub
• URL: https://github.com/jimbrig/eda
• Owner: jimbrig
• License: other
• Created: 2019-11-12T18:43:34.000Z (about 5 years ago)
• Default Branch: master
• Last Pushed: 2024-02-29T20:26:15.000Z (9 months ago)
• Last Synced: 2024-08-13T07:15:16.499Z (3 months ago)
• Topics: data-analysis, data-visualization, eda, r, shiny
• Language: R
• Homepage: https://jimbrig2011.github.io/owEDA/
• Size: 260 KB
• Stars: 2
• Watchers: 2
• Forks: 2
• Open Issues: 1
• Metadata Files:
  • Readme: README.Rmd
  • License: LICENSE

Awesome Lists containing this project

README

        
---

output: github_document

---

```{r, include = FALSE}

knitr::opts_chunk$set(

  collapse = TRUE,

  comment = "#>",

  fig.path = "man/figures/README-",

  out.width = "100%"

)

```

# Oliver Wyman Exploratory Data Analysis (owEDA) 

[![Lifecycle: Experimental](https://img.shields.io/badge/lifecycle-experimental-orange.svg)](https://www.tidyverse.org/lifecycle/#experimental)

[![Project Status: WIP](https://www.repostatus.org/badges/latest/wip.svg)](http://www.repostatus.org/#wip)

## General Overview

The goal of **owEDA** is to:

+ Save Time

+ Improve Efficiency

+ Improve Project Analysis Quality

+ Priduce Artifacts for Export Internally and Externally to Excel, PowerPoint, and Word

## Installation

> Since **owEDA** is a private repository make sure  you have a GitHub PAT 

(personal access token) setup and have permission before attempting to install 

the package. See 

[Usethis Setup Guide](https://usethis.r-lib.org/articles/articles/usethis-setup.html#get-and-store-a-github-personal-access-token)

for more details on setting this up.

You can install from [GitHub](https://github.com/) with:

``` r

remotes::install_github("jimbrig2011/owEDA")

# or

require(devtools)

devtools::install_github("jimbrig2011/owEDA")

```

## Run Application

After installing the package, you can run the app simply with:

``` r

owEDA::run_app()

```

## Roadmap

**owEDA** desires to provide the following features:

- Data Upload Management:

  + Support easy data upload for a various number of possible data types (xlsx, csv, txt, etc).

  + Support advanced settings to upload different types of data (i.e. merge across excel tabs, headers, lines to skip, etc.)

  + Implement a "control totals" feature which allows user to preview the sums of numeric columns and validate / reconcile.

  + Allow user to create their own datasets from uploaded files via merging and transforming them

  + Provide initial summary statistics on data and preview data itself

  

- Data Diagnostics

- Data Dictionary

- Data Validation Report

- Data Summaries

- Data Visualization

- Export to PDF, PowerPoint, CSV, Excel, and Email

- Multivariate Analysis

- Feature Engineering / Variable Importance

- Record Linkage