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---
output: github_document
---

<!-- README.md is generated from README.Rmd. Please edit that file -->

```{r, include = FALSE}
knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",
  fig.path = "man/figures/README-",
  out.width = "100%"
)
```

# ggparallel

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[![CRAN status](https://www.r-pkg.org/badges/version/ggparallel)](https://CRAN.R-project.org/package=ggparallel)
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ggparallel makes it easy to produce parallel coordinate plots.

## Installation

You can install the development version of ggparallel like so:

``` r
if (!require("remotes"))
    install.packages("remotes")

remotes::install_github("selkamand/ggparallel")
```

## Quick Start



```{r quick_start}
library(ggparallel)

ggparallel(iris)
```


More complex datasets, for example the dry bean [dataset](https://archive.ics.uci.edu/dataset/602/dry+bean+dataset) from the UCI Machine learning Repository
```{r}
drybeans <- read.csv(system.file(package = "ggparallel", "dry_beans.csv"))

ggparallel(drybeans)
ggparallel(drybeans, col_colour = "Class")
```

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