AE 08: Durham climate + factors

Application exercise

Getting started

Packages

We will use the tidyverse package in this application exercise.

Data

The data come from https://www.usclimatedata.com/climate/durham/north-carolina/united-states/usnc0192 and are stored as durham-climate.csv in the data folder.

durham_climate <- read_csv("data/durham-climate.csv")

And let’s take a look at the data.

durham_climate
# A tibble: 12 × 4
   month     avg_high_f avg_low_f precipitation_in
   <chr>          <dbl>     <dbl>            <dbl>
 1 January           49        28             4.45
 2 February          53        29             3.7 
 3 March             62        37             4.69
 4 April             71        46             3.43
 5 May               79        56             4.61
 6 June              85        65             4.02
 7 July              89        70             3.94
 8 August            87        68             4.37
 9 September         81        60             4.37
10 October           71        47             3.7 
11 November          62        37             3.39
12 December          53        30             3.43

Reorder

What’s wrong with the following plot?

Add your response here.

ggplot(
  durham_climate, 
  aes(x = month, y = avg_high_f, group = 1)
  ) +
  geom_line() +
  geom_point(
    shape = "circle filled", size = 2,
    color = "black", fill = "white", stroke = 1
  ) +
  labs(
    x = "Month",
    y = "Average high temperature (F)",
    title = "Durham climate"
  )

Fix the plot.

# add code here

Recode and reorder

Update the plot above, coloring points based on season. Additionally:

  • Make sure the legend is on top of the plot and the seasons appear in the legend in the order they appear in the plot (Winter, Spring, Summer, Fall).

  • Use "circle filled" as the shape for points, set their size to 3 points, outline (stroke) to 1 point, and fill them in with the following colors:

    • Winter: lightskyblue1
    • Spring: chartreuse3
    • Summer: gold2
    • Fall: lightsalmon4 
# add code here

Pivot

Overlay lines for both high and low temperatures on the same plot. Additionally, use different colors for the two lines – a darker color for high and a lighter color for low temperatures.

# add code here