In this video, Mark Niemann-Ross demonstrates the use of read.dbf and write.dbf. Learn how to import and export R objects to and from DBF files.
- [Instructor] DBF's are an extremely common way…to exchange information,…and here's how to import them…using the foreign library in R.…Now foreign, is most likely already installed,…in your version of R, but use the library root command…to make sure that it's active.…Also, be sure that you've chosen "chapter 0 3"…in the exercise files, as your current working directory.…That's just to make sure that we can access the files…that we're going to import.…To import a DBF file, requires the "read.dbf" command,…and here's how it looks.…
I'm going to create a vector.…And we'll call it "foreignDBF", and into that vector,…I'm going to place the results of "read.dbf".…"Read.dbf" wants to know what file to import,…and so I'm going to choose something…from the "samples files folder".…I'm going to choose the "eva.dbf" file,…and when I import it,…I want to make sure that strings…are not imported as factors.…
To do that, I'm going to use "as is equals true",…and when I run that, you'll see that I now have a data frame…with the foreign.DBF information,…
- 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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