sticky noteFirst post on our blog! We welcome all data enthusiasts!

Today we are going to show how to use tinny but useful library called sparkline. Sparkline itself is a small widget, using jQuery under the hood¹.

Both technologies – jQuery and the widget itselt are implemented in the JavaScript. When it comes to visualizations JavaScript has superpowers and almost always exceeds anything we can get with other stuff.

That’s the main reason why people using Python, R or anything else want to use JavaScript. In case of R it is possible thanks to htmlwidgets² package, which we are going to describe in another article.

Examples

Lets get straight to the point and look at some examples.

Install: As package is not available at CRAN we need to install it with devtools³:

library(devtools)
install_github('htmlwidgets/sparkline')

We need some data to play with. In this case we’re going to use weather forecasts for New York:

library(SmarterPoland)
library(sparkline)
warsawWeather <- getWeatherForecast(getOption("DarkSkyApiKey"), city = 'New York')
nextWeekTemperature <- warsawWeather$by.day$temperatureMaxCelsius
sparkline(nextWeekTemperature)

Types of charts

Sparkline has several flavors.

1. Bar chart where we can adjust bar colors
2. Boxplot:
3. Bullet graph:
4. And of course pie chart:

You can also use two types tristate and discrete, however I’ve never used those two until this time (check out documentation if you curious!).

In examples I’ve shown how you can pass arguments to plots. Precise explaination of all options and configuration is available in jQuery plugin documentation.

Boosting

It gets even better if we embed sparkline within table with data. Familiar with formattable? You will be!

library(formattable)
library(sparkline)

formattable(
  data.frame(Large = LETTERS[1:4], small = letters[4:1], Rank = NA),
  list(
    "Rank"=function(z) {
      sapply(
        paste0(text='`r sparkline(sample(5))`')
        ,function(md) knitr::knit(text=md, quiet=T)
      )
    }
  )
)

sticky noteI had to use small trick here. Who knows what I did?

Formattable lets you do that and a lot more when it comes to presenting your data in readable form. It has its own htmlwidget as well.

What next?

For those of you who think that charts in the browser are mainstream I recommend working with command line. spark Not the best choice when it comes to the name of the library. is a simillar package to sparkline, but it renders charts straight in the command line!

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