Import multiple files from a local file system: iterate functions [Rfun]

Ingest multiple files from a local file system: iterate functions

Using the case-study of data cleaning, this modular video series will demonstrate iteration with `purrr::map()` and custom functions while also showing several Tidyverse tips and tricks. This individual video (1-A) in the series uses the basic proposition of importing multiple CSV files. Each #IterateFunctionsR video will become progressively more fluent, using building-blocks to present intermediate data manipulation techniques in R and the Tidyverse.

By the end of the series you'll learn how to use the purrr package, a very convenient package in support of iterating over list-columns and nested data frames. purrr::map() iteration is often more convenient and efficient than a For-loop. You'll also learn how to compose custom functions in R.
since R is a functional programming language, composing your own custom functions can increase your fluency as an R coder.

Contents:
0:00 - introduction
1:00 - library(fs) dir_ls() - list files on local file system
1:35 - read_csv() - import multiple CSV files | approach 1f
3:20 - col_types - coerce data types at ingest

[laluthomas]

Hi John, can you please show or share the resource on how to read multiple csv files with different column numbers from a folder and make separate objects and one object.