https://github.com/padpadpadpad/dataViewer

An RStudio Addin for visualising data, exploratory analyses, and identifying outliers
https://github.com/padpadpadpad/dataViewer

Last synced: about 2 months ago
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An RStudio Addin for visualising data, exploratory analyses, and identifying outliers

• Host: GitHub
• URL: https://github.com/padpadpadpad/dataViewer
• Owner: padpadpadpad
• Created: 2016-10-08T13:32:41.000Z (almost 8 years ago)
• Default Branch: master
• Last Pushed: 2018-01-29T12:06:14.000Z (over 6 years ago)
• Last Synced: 2024-05-21T02:55:38.713Z (4 months ago)
• Language: R
• Homepage:
• Size: 4.08 MB
• Stars: 2
• Watchers: 3
• Forks: 0
• Open Issues: 2
• Metadata Files:
  • Readme: README.Rmd

Awesome Lists containing this project

README

        
---

output: github_document

---

```{r, echo = FALSE}

knitr::opts_chunk$set(

  collapse = TRUE,

  comment = "#>",

  fig.path = "README-"

)

```

# dataViewer

__Daniel Padfield,__ [email protected]

An RStudio Addin for data visualisation, exploratory analysis and identifying outliers.

## Issues and suggestions

Please report any issues or suggestions in the issues tab [here](https://github.com/padpadpadpad/dataViewer/issues)

Mac : [![Build Status](https://travis-ci.org/padpadpadpad/dataViewer.svg?branch=master)](https://travis-ci.org/padpadpadpad/dataViewer)

## Overview and installation

dataViewer is a package containing an RStudio addin that allows for visualisation of large datasets, exploratory analyses and easier identification of points of interest within the dataset.

```{r eval = F}

devtools::install_github('padpadpadpad/dataViewer')

library(dataViewer)

```

## Quick set up

`dataViewer::dataViewer()` opens up an RStudio addin and allows for interactive point selection. These features could be useful for outlier detection, exploring your dataset or simply identifying points that need further investigation.

So lets see how it works with the `diamonds` dataset from `ggplot2`.

```{r eval = F}

data("diamonds")

dataViewer(diamonds, x = 'carat', y = 'price', id_col = 'cut')

```

This opens an RStudio addin which plots `price ~ carat` with a different plot for each value of `cut`.

You can click single points and select multiple points using a click and drag box. And after you click DONE, the points you've selected get returned to R!