Today we are starting the Section II Wrangle.

This section introduces different ways to access data and discusses the idea of Tidy Data.

• tibbles - a better data.frame, in the tidyverse, data_frame
• importing data - a better read.csv, in the tidyverse, read_csv
• tidy data - variables down columns, observations accross rows
• relational data - merging and joining different data_frames
• strings and factors
• dates and times

• The tibble package is part of the tidyverse.
• The tibble() function allows you to create a data_frame in R, listing data in vectors and it puts them in columns.
• The tribble() functions allows you to create a data_frame in R, listing data in columns directly.

Comma separated value files are very common.

The read_csv() function can be used much like the tribble() function. Read data from a .csv file directly into a tibble.

• numbers
• strings, characters
• factors
• dates, times

• read_csv()

• write_csv()

• read_rds()

• write_rds()