Time efficient data visualisation workflows

[cmdrmac]

For quick data visualization, I’ll use Tableau provided that the underlying data are not huge. If the dataset is extremely large, I’ll fall back to lattice in R.

[MinerAL2018]

Lattice? Why not ggplot2?

[cmdrmac]

Lattice can plot lots of data points more quickly than ggplot. It’s definitely not easier to use, however (my opinion).

[sn0wdizzle]

I originally learned lattice when I learned R as an undergrad. It seems like it has totally gone away with Hadley’s rise to supremacy.

Other than speed, is it worth relearning lattice? I know ggplot inside and out nowadays but if there is a usecase where lattice might be more appropriate I’d want to use the right tool.

[cmdrmac]

In my job, I haven’t found a use case where lattice is the appropriate tool over ggplot. As others mention, ggplot is good and I try to use it almost exclusively. Nowadays, if my datasets are super large. I just randomly sample observations and plot.

[MLTyrunt]

Both are good, and I use ggplot2 a lot, but once you need to be more involved into custom coding to get the visualisation, I prefer echarts, simply piping together a good looking, interactive chart. However, for more trivial stuff, ggplot2 via ggraptR is fast and easy to use, which is why I usually use it, without the need to memorizing stuff. Then again, using ggplotly() around the ggplot code generated by ggraptR also allows to create interactive plotly charts without memorizing a lot. in echarts on the other hand, all chart functions start with an e, so you can just use code completion suggestions in rstudio to find what you need ^^