Prior to the era of reproducible research, it was quite common for published graphs, charts, and other figures to be released solely as static images such and PNGs or JPEGs. Often times this is not done with accompanying code, or with the plot data available as a separate download, making ...

We recently have published two blogs on animating data transformations. The first, Animating Data Transformations, illustrated the spread() and gather() functions for going between wide and tall representations of data. The second, Animating Data Transformations II, covered the unnest() function for transforming a list column into a one value per ...

In our previous series on Animating Data Transformations, we showed you how to use gganimate to construct an animation which illustrates the process of going between tall and wide representations of data. Today, we will show the same procedure for constructing an animation of the unnest() function. The unnest() function ...

A common statistical procedure is to convert a tall dataset into a wide one, or visa versa. A tall, or “tidy” format, meets the following criteria (See https://cran.r-project.org/web/packages/tidyr/vignettes/tidy-data.html for more information): Each variable forms a column. Each observation forms a row. ...

Cross-posted with permission from Omni Analytics Innovative Technologies Initiative (OAITI) Certain ingredients are often staples of particular world cuisines. The use of hard cheeses in Italian cooking, and the use of masalas in Indian cooking are two particularly well-known examples. We sought out to discover what ingredients are most uniquely ...