Formatting Summary Tables In R

Laura Ellis shows us how to create formatted tables using the formattable package in R:

We are going to narrow down the data set to focus on 4 key health metrics. Specifically the prevalence of obesity, tobacco use, cardiovascular disease and obesity. We are then going to select only the indicator name and yearly KPI value columns. Finally we are going to make extra columns to display the 2011 to 2016 yearly average and the 2011 to 2016 metric improvements.

Tables are an area of data visualization that we tend to forget at our own peril.

Related Posts

Python versus R (Again)

Alex Woodie looks at whether Python is dominating R in the data science space: There is some evidence that Python’s popularity is hurting R usage. According to the TIOBE Index, Python is currently the third most popular language in the world, behind perennial heavyweights Java and C. From August 2018 to August 2019, Python usage surged […]

Read More

The Importance of Interaction in Power BI

Marc Lelijveld continues a series on storytelling with Power BI: Many times, I see reports with loads of visuals on the pages. This results in both a really poor performance, as well as the end user has no clue what the key message is of this report. You can always ask yourself, is this visual […]

Read More

Categories

September 2018
MTWTFSS
« Aug Oct »
 12
3456789
10111213141516
17181920212223
24252627282930