High-variety data can cause a slew of problems for data scientists. In this course, learn what these problems are and how to use the unique capabilities of R to solve them.
Overview
Syllabus
Introduction
- Jumping over the high-variety hurdle
- Perspectives on high-variety data
- Excel packages compared
- Read a workbook from Excel
- Write a workbook to Excel
- Read ranges from Excel
- Write ranges to Excel
- Read rows and columns from Excel
- Write rows and columns to Excel
- Read individual cells from Excel
- Write individual cells to Excel
- Text files in R
- CSV files in R
- Tab-delimited files in R
- Fixed-width files in R
- What is the R foreign package?
- Read form and write to DBF
- Read from and write to SPSS
- Read from and write to Stata
- Read from and write to SAS
- XML in R
- JSON in R
- ODS files in R
- HTML files in R
- Extracting data from a PDF in R
- Google Docs with R
- Working with images in R
- Next steps
Taught by
Mark Niemann-Ross
