Carleton University · DATA 2500

Data Wrangling in R

Credits : 0.5 creditReference year : 2026-27

Description

Reproducible workflows from acquisition, to cleaning, manipulation, and visualization. Data are acquired from databases, APIs, and web scraping. Cleaning and manipulating Numeric, categorical, date, and text data are introduced including regular expressions. Data visualization and report generation using dynamic tools are emphasized.

Prerequisites

  • Prerequisite(s): ( COMP 1005 or COMP 1405 ), STAT 1500 , and one of ( DATA 1517 , STAT 2507 , or STAT 2655 ).

Conditions and arrangements

  • Prerequisite(s): ( COMP 1005 or COMP 1405 ), STAT 1500 , and one of ( DATA 1517 , STAT 2507 , or STAT 2655 ).
  • Lectures three hours a week, laboratory one hour a week.
Reference text in its original language

Reproducible workflows from acquisition, to cleaning, manipulation, and visualization. Data are acquired from databases, APIs, and web scraping. Cleaning and manipulating Numeric, categorical, date, and text data are introduced including regular expressions. Data visualization and report generation using dynamic tools are emphasized.

  • Prerequisite(s): ( COMP 1005 or COMP 1405 ), STAT 1500 , and one of ( DATA 1517 , STAT 2507 , or STAT 2655 ).
  • Lectures three hours a week, laboratory one hour a week.

Sources and references

Dates and sources are retained to help you verify the information. Translations are provided to facilitate reading; the official source governs conditions and requirements.

Source reference : https://calendar.carleton.ca/undergrad/courses/DATA/

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