This course continues our gentle introduction to programming in R designed for 3 types of learners. It will be right for you, if: 鈥� you want to do data analysis but don鈥檛 know programming 鈥� you know programming but aren鈥檛 too familiar with R 鈥� you know some R programming but want to learn more about the tidyverse verbs It is best taken following the first course in the specialization or if you already are familiar with ggplot, RMarkdown, and basic function writing in R. You will use learn to use readr to read in your data, dplyr to analyze your data, and stringr and forcats to manipulate strings and factors.
Subsetting Strings
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Skills You'll Learn
Data Cleansing, Ggplot2, Tidyverse (R Package), Data Analysis, Data Manipulation, Programming Principles, Data Transformation, Relational Databases, Data Import/Export, Data Wrangling, R Programming
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From the lesson
String Manipulation and Regular Expressions
This module will introduce string manipulation in R. You will learn the basics of strings, including string creation, merging, and subsetting. Then, you will use regular expressions to describe and view patterns in strings.
Taught By
Jane Wall
Faculty Director of Data Science Programs