README.md

In timelyportfolio/dataui: `Data-UI` Interactive Visualizations

dataui

dataui brings the beautiful interactive visualizations of data-ui based on vx to R. Currently the package nearly fully supports sparkline and histogram, and no you do not need to know React. You will be writing React without even knowing it.

Yes, I know data-ui is in repo freeze, but I could not wait for #201. The author, now also on the vx team, has done an incredible job, so I am willing (slightly crazy) to invest the time to write this package. Plus, I sort of “need” it for a live project. Our other sparkline in R is a little old and tired (but I still very much appreciate the library) and has been frozen/unmaintained for many years.

Credits

Thanks so much to Dr. Ken Steif at Urban Spatial for sponsoring the first phase of this project and inspiring its inception.

Help

I would love for you to join me on the journey, and I will make sure that this is a friendly and welcoming place. If money is more abundant than time for you, then let me know as well.

Installation

Far from CRAN-worthy but hopefully there eventually, remotes::install_github() for now.

remotes::install_github("timelyportfolio/dataui")

Articles and Vignettes

I have prioritized vignettes and articles over proper documentation for now.

Replicate data-ui Examples

dataui and reactable

Tufte in R with dataui

Examples

Sparklines

This is is the shortest code example I could create.

library(dataui)
dui_sparkline(
  data = rnorm(50),
  components = list(dui_sparklineseries())
)

I was able to nearly fully replicate all the data-ui sparkline examples. See the vignette.

Histogram

Currently there are some examples in experiments.R. I should also note that dataui histograms also work very well as sparklines.

Below is a quick example.

library(dataui)

rn <- rnorm(1000)
ri <- runif(1000)

dui_histogram(
  binCount = 25,
  components = list(
    dui_barseries(rawData = rn, fill="#000"),
    dui_densityseries(rawData = rn, stroke = "#000"),
    dui_barseries(rawData = ri),
    dui_densityseries(rawData = ri),
    dui_xaxis(),
    dui_yaxis()
  )
)

reactable

And thanks to the fine work of Greg Lin, dataui just works with reactable. I would still like to tighten up the integration though, since the data gets duplicated in multiple spots. Here is a quick example to prove it. dataui should also work relatively well with other R table libraries.

library(dataui)
library(dplyr)
library(reactable)

data <- chickwts %>%
  group_by(feed) %>%
  summarise(weight = list(weight))

binValues = hist(chickwts$weight, breaks=15, plot = FALSE)$breaks

fillColors = scales::brewer_pal(type="qual", palette="Set2")(8)

reactable(
  data,
  columns = list(
    feed = colDef(maxWidth = 100),
    weight = colDef(
      minWidth = 400,
      cell = function(values, index) {
        dui_histogram(
          height = 200,
          width = 400,
          binValues = binValues,
          renderTooltip = htmlwidgets::JS(htmltools::HTML('
function (_ref) {
  var event = _ref.event,
      datum = _ref.datum,
      data = _ref.data,
      color = _ref.color;
  return React.createElement(
    "div",
    null,
    React.createElement(
      "strong",
      { style: { color: color } },
      datum.bin0,
      " to ",
      datum.bin1
    ),
    React.createElement(
      "div",
      null,
      React.createElement(
        "strong",
        null,
        "count "
      ),
      datum.count
    ),
    React.createElement(
      "div",
      null,
      React.createElement(
        "strong",
        null,
        "cumulative "
      ),
      datum.cumulative.toFixed(0)
    ),
    React.createElement(
      "div",
      null,
      React.createElement(
        "strong",
        null,
        "density "
      ),
      datum.density.toFixed(0)
    )
  );
}
          ')),
# reactR::babel_transform equivalent of the above
#            htmlwidgets::JS(reactR::babel_transform("
#{({ event, datum, data, color }) => (
#  <div>
#    <strong style={{ color }}>{datum.bin0} to {datum.bin1}</strong>
#    <div><strong>count </strong>{datum.count}</div>
#    <div><strong>cumulative </strong>{datum.cumulative.toFixed(0)}</div>
#    <div><strong>density </strong>{datum.density.toFixed(0)}</div>
#  </div>
#)}
#          ")),
          components = list(
            dui_barseries(rawData = values, fill = fillColors[index]),
            dui_densityseries(rawData = values, stroke = fillColors[index], fill = fillColors[index]),
            dui_xaxis()
          )
        )
      }
    )
  ),
  width = 600
)

If you use dataui in the wild, let me know and I will save a spot here for you.

Code of Conduct

Please note that the ‘dataui’ project is released with a Contributor Code of Conduct. By contributing to this project, you agree to abide by its terms.

timelyportfolio/dataui documentation built on July 15, 2020, 12:03 p.m.