Course details

Data Wrangler 4: Cleaning Data in R

Data Wrangler 4: Cleaning Data in R


Overview/Description
Expected Duration
Lesson Objectives
Course Number
Expertise Level



Overview/Description

Explore the essential methods for wrangling data with R.



Expected Duration (hours)
1.0

Lesson Objectives

Data Wrangler 4: Cleaning Data in R

  • recognize types of unclean data
  • recognize criteria for ensuring data quality
  • fetch a JSON document over HTTP and load it using dplyr
  • load multiple sheets from an Excel document
  • handle common errors encountered when reading CSV data
  • read data from a relational database using a SQL query
  • combine two related datasets using a join operation
  • reshape tabular data by spreading values from rows to columns
  • apply a summary function using dplyr
  • use mean imputation to replace missing values
  • use a regular expression to extract data into a new column
  • practice applying data wrangling functions using R
  • Course Number:
    it_dscdirdj_01_enus

    Expertise Level
    Intermediate