Key Concepts

Review core concepts you need to learn to master this subject

gsub() R Function

gather() tidyr

distinct() dplyr

str() Function

Combing Data with R

R as.numeric() Function

str_sub() function

The dplyr and tidyr packages

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gsub() R Function

# Replace the element "1" with the empty string in the teams vector in order to get the teams_clean vector with the correct names.
teams <- c("Fal1cons", "Cardinals", "Seah1awks", "Vikings", "Bro1nco", "Patrio1ts") 

teams_clean <- gsub("1", "", teams)

print(teams_clean)

# Output:
# "Falcons" "Cardinals" "Seahawks" "Vikings" "Bronco" "Patriots"

The base R gsub() function searches for a regular expression in a string and replaces it. The function recieve a string or character to replace, a replacement value, and the object that contains the regular expression. We can use it to replace substrings within a single string or in each string in a vector.

When combined with dplyr’s mutate() function, a column of a data frame can be cleaned to enable analysis.

Data Cleaning in R
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