In this video, Mark Niemann-Ross demonstrates the xml2 package for R for import and export of XML files. Learn about read_xml and write_xml.
- [Instructor] XML in R could be a course…all by itself.…There's a tremendous amount of data stored in xml…and there's a lot of ways to work with it in R,…but for this video,…we're going to restrict ourselves…just to the import and export of xml.…When you work with xml in R,…Use the xml2 package,…and you'll need to install it,…just like I've shown here.…Hit command return to run the install package,…and that will bring the xml2 package into your…base version of R.…
Use a library xml2 command to make that available to you…and now you have xml commands available for use…with import and export.…The xml2 package includes several example xml files…and we'll use one of them for our import and export work.…So I've created XML sample file, a vector,…and I'm going to bring in cd_catalog_xml.…Now I'm ready to import xml into R,…and to do that I'll use the read xml command,…I'm going to bring that into xml in R,…that's just a standard vector,…and I'm going to place on that the results of…read_xml and I'll call up the xml sample file,…
- Name the three types of big data.
- List three considerations used to determine the appropriate R package for Excel.
- Determine the best package used to import entire Excel workbooks.
- Explain how to import standard text files using base R and tidyverse.
- Define the purpose of the foreign language package for R.
- Recognize restrictions when working on SAS files in the foreign language package.
- Identify the problems involved with extracting data from a PDF 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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