DataCamp
FreeIntroduction to Importing Data in R
4.8(364)208k studentsBEGINNEREnglish
Korshub's take
Editor's Take
Data analysis in R relies on loading raw files cleanly into memory. This beginner-focused course introduces R's essential data import packages, teaching you how to read flat text files and spreadsheet workbooks cleanly and efficiently.
Who It's For
Ideal for beginners starting with R programming who need to ingest CSV, text, and Excel spreadsheets for analysis.
Key Takeaways
- Flat File Processing: Import text and CSV files using foundational R functions.
- Fast Ingestion Packages: Leverage readr and data.table for rapid and efficient flat file importing.
- Excel Spreadsheet Support: Read legacy and modern Excel files (.xls) into R using the readxl package.
About this course
Importing data into R should be the easiest step in your analysis. Unfortunately, that is almost never the case. Data can come in many formats, ranging from .csv and text files, to statistical software files, to databases and HTML data. Knowing which approach to use is key to getting started with the actual analysis.
In this course, you’ll start by learning how to read .csv and text files in R. You will then cover the readr and data.table packages to easily and efficiently import flat file data. After that, you will learn how to read .xls files in R using readxl.
Price
Free
This course is free to enrol.
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