#Cplot in r install
#Cplot in r software

In the code below, I create a basic echarts4r object with Month as the x-axis column.

#Cplot in r install

You can install the dev version with these lines: remotes::install_github'JohnCoene/echarts4r') library(echarts4r) library(dplyr) I’ll start by loading the echarts4r and dplyr packages. Note I’m using the development version of echarts4r to access the latest version of the echarts JavaScript library. My houses_wide data frame has one column for Month (I’m just looking at December for each year starting in 2007) and columns for each city.Ĭlasses ‘data.table’ and 'ame':đ4 obs. If you want to follow along, data instructions are at the end of this article. Line charts with echarts4rįor example data, I downloaded and wrangled some housing price info by US city from Zillow. Next, you add a function for the type of chart ( e_line(), e_bar(), etc.) with the y-axis series column name as an argument.

That takes your data frame and x-axis column as arguments. You start coding a visualization by creating an echarts object with the e_charts() function.Every function in the package starts with e_.Package author John Coene explains the basics in a getting started page: That helps me feel confident I can rely on the JavaScript code underlying the R package.

#Cplot in r software

The echarts4r package is an R wrapper for the echarts JavaScript library, an official Apache Software Foundation project (it graduated from incubator status in December).