In this video, Mark Niemann-Ross recaps the import and export tools covered in this course. Learn about next steps to take when dealing with a high variety of data.
- [Mark] In this course we've discussed…ways of dealing with a variety of different formats,…starting with the popular world of Excel,…then moving on to flat data files,…SPSS, and DBF,…as well as other formats.…Obtaining and scrubbing data are two important tasks…you'll immediately face when working with data,…so learning how to work with multiple formats…is a useful skill.…I've enjoyed exploring these tools…and hope this has been a useful course…in your work as a data scientist.…
- Challenges and characteristics of high-variety data
- Using R with Excel
- Exporting an R data structure to an Excel workbook
- Importing text, CSV, and tab-delimited files
- Working with the R foreign package
- Using R with XML files, HTML files, and Google Docs
- Working with images in R
Skill Level Intermediate
R Programming in Data Science: High Volume Datawith Mark Niemann-Ross1h 25m Intermediate
1. Use R with Excel
2. Importing Text Files
3. Understanding the Foreign Package
4. Use R with Popular Data Formats
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