Nothing
example_df_a <- read.csv(text = "
car, mpg, cyl, disp, hp, drat, wt, vs, am
Duster 360, 14.3, 8, 360.0, 245, 3.21, 3.570, 0, 0
Mazda RX4 Wag, 21.0, 6, 160.0, 110, 3.90, 2.875, 0, 1
Merc 230, 22.8, 4, 140.8, 95, 3.92, 3.150, 1, 0
Datsun 710, 22.8, NA, 109.0, 93, 3.85, 2.320, 1, 1
Merc 240D, 24.4, 4, 146.7, 62, 3.69, 3.190, 1, 0
Hornet 4 Drive, 21.4, 6, 259.0, 110, 3.08, 3.215, 1, 0
Mazda RX4, 21.0, 6, 160.0, 110, 3.90, 2.620, 0, 1
Valiant, 18.1, 6, 225.0, 105, 2.76, 3.460, 1, 0
Merc 280, 19.2, 6, 167.6, 123, 3.92, 3.440, 1, 0
", stringsAsFactors = FALSE, strip.white = TRUE) %>%
as_tibble()
example_df_b <- read.csv(text = "
car, wt, mpg, hp, cyl, disp, carb, drat, vs
Merc 240D, 3.190, 26.4, 62, 4, 146.7, 2, 3.69, 1
Valiant, 3.460, 18.1, 105, 6, 225.0, 1, 2.76, 1
Duster 360, 3.570, 16.3, 245, 8, 360.0, 4, 3.21, 0
Datsun 710, 2.320, 22.8, 93, NA, 108.0, 1, 3.85, 1
Merc 280C, 3.440, 17.8, 123, 6, 167.6, 4, 3.92, 1
Merc 280, 3.440, 19.2, 123, 6, 167.6, 4, 3.92, 1
Hornet 4 Drive, 3.215, 21.4, 110, 6, 258.0, 1, 3.08, 1
Merc 450SE, 4.070, 16.4, 180, 8, 275.8, 3, 3.07, 0
Merc 230, 3.150, 22.8, 95, 4, 140.8, 2, 3.92, 1
Mazda RX4 Wag, 2.875, 21.0, 110, 6, 160.0, 4, 3.90, 0
", stringsAsFactors = FALSE, strip.white = TRUE) %>%
as_tibble()
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