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R in 3 Months (Spring 2026)

Import Data Again

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View code shown in video 
library(tidyverse)

coffee_ratings <- read_csv(
    "coffee_ratings.csv",
    na = c("No rating", "Unknown", "8", "1", "3", "4", "23", "47"),
    col_types = cols(total_cup_points = "d", harvest_year = "i")
)

coffee_ratings

Your Turn

  1. Adjust your read_csv() code so that you import the data again

  2. Use the na argument to tell read_csv() what should be treated as missing in the altitude_mean_meterscolumn

  3. Use the col_types argument to make sure that altitude_mean_meters gets imported as numeric data

  4. Examine your data again to confirm that the changes were made successfully

The code that I created and that you can use to get started is below.

library(tidyverse)

coffee_ratings <- read_csv(
    "coffee_ratings.csv",
    na = c("No rating", "Unknown", "8", "1", "3", "4", "23", "47"),
    col_types = cols(total_cup_points = "d", harvest_year = "i")
)

coffee_ratings

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Course Content

144 Lessons