R Programming in Data Science: High Variety Data

Description

In this course, you will :

• introduces the problem of data variety and shows how to solve it using R's unique capabilities.
• Learn how to import a wide range of data types, including Excel and ODS files.
• Data scientists devote an inordinate amount of time to this issue, devoting brain power that could be better spent on more valuable analysis tasks.

Syllabus :

1. Use R with Excel

• 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

 

2. Importing Text Files

• Text files in R
• CSV files in R
• Tab-delimited files in R
• Fixed-width files in R

 

3. Understanding the Foreign Package

• 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

 

4. Use R with Popular Data Formats

• 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

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