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 parsnip.tidymodels.org
Augment data with predictions - augment.model_fit parsnip
| | echarts4r.john-coene.com
Initialise - init echarts4r
4.6 parsecs away

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| | Initialise a chart.
| | dplyr.tidyverse.org
Group by one or more variables - group_by dplyr
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| | Most data operations are done on groups defined by variables. group_by() takes an existing tbl and converts it into a grouped tbl where operations are performed "by group". ungroup() removes grouping.
| | pillar.r-lib.org
Get a glimpse of your data - glimpse pillar
2.5 parsecs away

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| | glimpse() is like a transposed version of print(): columns run down the page, and data runs across. This makes it possible to see every column in a data frame. It's a little like str() applied to a data frame but it tries to show you as much data as possible. (And it always shows the underlying data, even when applied to a remote data source.) See format_glimpse() for details on the formatting.
| | sportscidata.com
How to Create Interactive Reports in R Markdown Part II: Data Visualisation - SportSciData
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| In our last post we looked at how we can use R Markdown to produce tables of data ending in this report. This included grouping data, conditional formatting along with adding design features to improve the overall athletics and usability of the table. Now we will cover another method of showing data within R Markdown:...