Ordna om faktorer

Kategoriska data i Tidyverse

Emily Robinson

Data Scientist

Ett stapeldiagram med svarsalternativ på x-axeln, antal på y-axeln och titeln "how often do you use NLP at work?" Staplarna, från vänster till höger, är most of the time, often, rarely och sometimes.

Kategoriska data i Tidyverse

Korrigerat diagram

ggplot(aes(nlp_frequency, 
            x = fct_relevel(response, 
            "Rarely", "Sometimes", "Often", "Most of the time"))) + 
        geom_bar()

Samma stapeldiagram som tidigare, nu ordnat från vänster till höger: rarely, sometimes, often, most of the time.

Kategoriska data i Tidyverse

fct_reorder()

nlp_frequency %>%
    pull(response) %>%
    levels()
[1] "Most of the time" "Often" "Rarely" "Sometimes"       
nlp_frequency %>%
    mutate(response = fct_relevel(response, 
            "Often", "Most of the time")) %>%
    pull(response) %>%
    levels()
[1] "Often" "Most of the time" "Rarely" "Sometimes"
Kategoriska data i Tidyverse

Ytterligare argument

nlp_frequency %>%
    mutate(response = fct_relevel(response, 
            "Often", "Most of the time", after = 2)) %>%
            pull(response) %>%
            levels()
nlp_frequency %>%
    mutate(response = fct_relevel(response, 
            "Often", "Most of the time", after = Inf) %>%
    pull(response) %>%
    levels()
[1] "Rarely" "Sometimes" "Often" "Most of the time"
Kategoriska data i Tidyverse

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Kategoriska data i Tidyverse

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