https://github.com/dreamRs/tuichartr

:bar_chart: R htmlwidget for tui-chart
https://github.com/dreamRs/tuichartr

data-visualization htmlwidgets r

Last synced: 2 months ago
JSON representation

:bar_chart: R htmlwidget for tui-chart

• Host: GitHub
• URL: https://github.com/dreamRs/tuichartr
• Owner: dreamRs
• License: other
• Archived: true
• Created: 2019-05-13T15:00:52.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2020-08-07T11:03:24.000Z (over 4 years ago)
• Last Synced: 2024-01-28T23:09:16.420Z (12 months ago)
• Topics: data-visualization, htmlwidgets, r
• Language: R
• Homepage: https://dreamrs.github.io/tuichartr/
• Size: 758 KB
• Stars: 14
• Watchers: 3
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

• awesome-shiny-extensions - tuichartr - HTML widget for tui-chart. (Visualization / General-Purpose)

README

        
# tuichartr

> Htmlwidget to create interactive visualisations with JavaScript library [tui-chart](https://github.com/nhn/tui.chart)

[![Travis build status](https://travis-ci.org/dreamRs/tuichartr.svg?branch=master)](https://travis-ci.org/dreamRs/tuichartr)

[![Project Status: WIP – Initial development is in progress, but there has not yet been a stable, usable release suitable for the public.](https://www.repostatus.org/badges/latest/wip.svg)](https://www.repostatus.org/#wip)

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

## Installation

You can install from GitHub with:

``` r

remotes::install_github("dreamRs/tuichartr")

```

## Charts

You can create various type of chart : bar, column, line, area, boxplot, scatter, heatmap, treemap, radar, pie.

``` r

library(gapminder)

library(tuichartr)

# Datas

n_countries <- gapminder %>% 

  filter(year == 2007) %>% 

  count(continent, sort = TRUE)

# Chart

tuichart("bar") %>% 

  add_data(n_countries, aes(x = continent, y = n)) %>% 

  tui_chart(title = "Countries by continent in 2007") %>% 

  tui_xAxis(title = "Number of countries") %>% 

  tui_legend(visible = FALSE) %>% 

  tui_series(showLabel = TRUE)

```

![](man/figures/tuichart-example.png)

## Maps

You can also make maps :

```r

# Retrieve Italy polygons

uk <- ne_states("united kingdom", returnclass = "sf")

# add a random numeric variable

uk$random <- sample(1:100, nrow(uk), TRUE)

# draw map

tuimap() %>% 

  add_map_data(uk, aes(code = adm1_code, label = name, value = random)) %>% 

  tui_chart(title = "UK map")

```

![](man/figures/tuimap-example.png)