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2) Choosing among the four verbs You've learned about the four verbs: select, mutate, transmute, and rename. Here, you'll choose the appropriate verb for each situation. You won't need to change anything inside the parentheses. O Choose the right verb for changing the name of the unemployment column

2) Choosing among the four verbs You've learned about the four verbs: select, mutate, transmute, and rename. Here, you'll choose the appropriate verb for each situation. You won't need to change anything inside the parentheses. O Choose the right verb for changing the name of the unemployment column

Computer Networking: A Top-Down Approach (7th Edition)
Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
Section: Chapter Questions
Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
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... 2) Choosing among the four verbs You've learned about the four verbs: select, mutate, transmute, and rename. Here, you'll choose the appropriate verb for each situation. You won't need to change anything inside the parentheses. O Choose the right verb for changing the name of the unemployment column to unemployment_rate O Choose the right verb for keeping only the columns state, county, and the ones containing poverty. O Calculate a new column called fraction women with the fraction of the population made up of women, without dropping any columns. O Keep only three columns: the state, county, and employed /population, which you'll call employment_rate. # Change the name of the unemployment columnand show the first six rows of the countiesl countiesl <-counties %>% select(state, county, unemployment)%>% # Keep the state and county columns, and the columns containing povertyand show the first six rows of the counties2 counties2 <-counties %>% (state, county, # Calculate the fraction women column without dropping the other columns and show the first six rows of the counties3 counties3 <-counties %>% select(state, county, population, women)%>% (fraction_women # Keep only the state, county, and employment_rate columns and show the first six rows of the counties4 counties4 <-counties %>% (state, county,
Transcribed Image Text:... 2) Choosing among the four verbs You've learned about the four verbs: select, mutate, transmute, and rename. Here, you'll choose the appropriate verb for each situation. You won't need to change anything inside the parentheses. O Choose the right verb for changing the name of the unemployment column to unemployment_rate O Choose the right verb for keeping only the columns state, county, and the ones containing poverty. O Calculate a new column called fraction women with the fraction of the population made up of women, without dropping any columns. O Keep only three columns: the state, county, and employed /population, which you'll call employment_rate. # Change the name of the unemployment columnand show the first six rows of the countiesl countiesl <-counties %>% select(state, county, unemployment)%>% # Keep the state and county columns, and the columns containing povertyand show the first six rows of the counties2 counties2 <-counties %>% (state, county, # Calculate the fraction women column without dropping the other columns and show the first six rows of the counties3 counties3 <-counties %>% select(state, county, population, women)%>% (fraction_women # Keep only the state, county, and employment_rate columns and show the first six rows of the counties4 counties4 <-counties %>% (state, county,
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