Visualizing data manipulation operations

About the Author

My name is Barbara and I'm a rising senior in Stats and CS at Macalester College. I love computational statistics and using R to transform complicated things into beautiful things (especially through visualization). In fact, the inspiration for these very apps is to help people understand and visualize some really cool data concepts (joining, grouping, summarizing...). I hope this proves right! If you have any suggestions, feel free to contact me at barb.b.ribeiro@gmail.com.

Note

This shiny app was grabbed from github on 25 March 2015 by rpruim@calvin.edu. A few changes have been made to update the code to match current versions of packages and to improve a few features.



Table 1 should be above this.

Table 2 should be above this.


Your dataset
Filter
Select

ex: i sex=='F', state=='NY'

ex: i wage, starts_with('countr')


Your dataset
Mutate

ex: i sumFM = father + mother


Your dataset

Group_by (made visual with arrange )

Summarise

ex: i mean(wage), n(), max(height)


Your dataset

Group_by (made visual with arrange )

Mutate

ex: i n(), wage.rank = rank(wage), rel.wage = 100 * wage / max(wage), ht.rank = rank(height)