Handbook of Hidden Data Scientist (R)
  • Introduction
  • References
  • Install R
    • Mac OSX
    • Windows
    • Linux
  • Basics
    • Analysis Types
    • Machine Learning
    • Tidy data set
  • R
    • Limitations
    • Documentation
    • Coding Standards
    • Basics and Data Types
    • Data Table
    • Textual Serialization
    • Control Structures
    • Functions
    • Packages
    • Vectorized Operations
    • Date and Time
    • Loop Functions
    • Split Function
    • Random Variables
    • Simulate Linear Model
    • Debugging
    • Profiler
  • Reading and Writing
    • Files
    • Larger Datasets
    • CSV
    • Excel
    • JSON
    • XML and Web pages
    • REST API
    • MySql
    • HDF5
    • Other...
  • Cleaning Data
    • Subsetting
    • Summarizing
    • New Variables
    • Reshaping
    • Merging
    • Editing text
    • Regular Expressions
Powered by GitBook
On this page

Was this helpful?

Cleaning Data

This chapter shows ways to manipulate data, which could be used to clean up the data.

PreviousOther...NextSubsetting

Last updated 5 years ago

Was this helpful?