HW 1 - Data visualization

Author

INSERT NAME

Packages

library(tidyverse)
library(openintro)

Exercise 1

duke_forest |>
  mutate(garage = if_else(str_detect(parking, "Garage"),   "Garage", "No garage")) # |>
# A tibble: 98 × 14
   address      price   bed  bath  area type  year_built heating cooling parking
   <chr>        <dbl> <dbl> <dbl> <dbl> <chr>      <dbl> <chr>   <fct>   <chr>  
 1 1 Learned … 1.52e6     3     4  6040 Sing…       1972 Other,… central 0 spac…
 2 1616 Pinec… 1.03e6     5     4  4475 Sing…       1969 Forced… central Carpor…
 3 2418 Wrigh… 4.20e5     2     3  1745 Sing…       1959 Forced… central Garage…
 4 2527 Sevie… 6.80e5     4     3  2091 Sing…       1961 Heat p… central Carpor…
 5 2218 Myers… 4.29e5     4     3  1772 Sing…       2020 Forced… central 0 spac…
 6 2619 Vesso… 4.56e5     3     3  1950 Sing…       2014 Forced… central Off-st…
 7 1803 Woodb… 1.27e6     5     5  3909 Sing…       1968 Forced… central Carpor…
 8 19 Learned… 5.57e5     4     3  2841 Sing…       1973 Heat p… central Carpor…
 9 2827 Mcdow… 6.97e5     4     5  3924 Sing…       1972 Other,… central Covered
10 2709 Mcdow… 6.5 e5     3     2  2173 Sing…       1964 Forced… other   0 spac…
# ℹ 88 more rows
# ℹ 4 more variables: lot <dbl>, hoa <chr>, url <chr>, garage <chr>
  # ggplot(...)

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Exercise 2

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Exercise 3

brfss <- read_csv("data/brfss.csv")
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Exercise 4

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Exercise 5

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Exercise 6

    • The gg in the name of the package ggplot2 stands for ___.
    • If you map the same continuous variable to both x and y aesthetics in a scatterplot, you get a straight ___ line. (Choose between “vertical”, “horizontal”, or “diagonal”.)
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ggplot(data=mpg,mapping=aes(x=drv,fill=class))+geom_bar() +scale_fill_viridis_d()

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