Course details

R for Data Science: Importing and Exporting Data

R for Data Science: Importing and Exporting Data


Overview/Description
Expected Duration
Lesson Objectives
Course Number
Expertise Level



Overview/Description

An essential skill for statistical computing and graphics. The programming language R the tool of choice for data science professionals in every industry and field—both to take advantage of R's great graphic and charting capabilities and to create reproducible high-quality analyses. In this 8-video Skillsoft Aspire course, you will discover how to use R to import and export tabular data in CSV (comma-separated values), Excel, and HTML format. The key concepts covered in this course include how to read data from a CSV formatted text file and from an Excel spreadsheet; how to read tabular data from an HTML file; and how to export tabular data from R to a CSV file and to an Excel spreadsheet. In addition, learners will explore exporting tabular data from R to an HTML table; how to read data from an HTML table and export to CSV; and how to confirm that the contents of the CSV file were written correctly.



Expected Duration (hours)
0.6

Lesson Objectives

R for Data Science: Importing and Exporting Data

  • Course Overview
  • read data from a CSV formatted text file
  • read data from an Excel spreadsheet
  • read tabular data from a HTML file
  • export tabular data from R to a CSV file
  • export tabular data from R to an Excel spreadsheet
  • export tabular data from R to an HTML table
  • read data from an HTML table and export to CSV
  • Course Number:
    it_dsrfdsdj_02_enus

    Expertise Level
    Intermediate