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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: about 2 months 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 (10 months ago)
Last Synced: 2024-08-13T07:15:16.499Z (5 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