knitr::opts_chunk$set(echo = F,
                      warning = F,
                      message = F,
                      fig.align = "center")

## Load the required package: tidyverse
library(tidyverse)

## Reading in the pokedex for almost 700 pokemon from github
pokedex <- 
  # Data set
  read.csv('https://raw.githubusercontent.com/Shammalamala/DS-2870-Data-Sets/refs/heads/main/pokedex.csv') |> 
  # Adding a coupe of columns for later questions
  mutate(
    # Matching the gen number to the two main games in the franchise
    debut_game = case_when(
      generation == 1 ~ 'Red/Blue',
      generation == 2 ~ 'Gold/Silver',
      generation == 3 ~ 'Ruby/Sapphire',
      generation == 4 ~ 'Diamond/Pearl',
      generation == 5 ~ 'Black/White',
      generation == 6 ~ 'X/Y'
    ),
    # Adding a column to indicate which of the 'main types' a pokemon is, if any
    main_type = case_when(
      type1 == 'Grass'  | type2 == 'Grass' ~ 'Grass',
      type1 == 'Water'  | type2 == 'Water' ~ 'Water',
      type1 == 'Fire'   | type2 == 'Fire'  ~ 'Fire',
      type1 == 'Bug'    | type2 == 'Bug'   ~ 'Bug',
      type1 == 'Normal'                    ~ 'Normal',
      .default = 'Other'
    ) |> factor(levels = c('Fire', 'Water', 'Grass', 'Bug', 'Normal', 'Other')),
    
    # Changing legendary to be 'Legendary'/'Not Legendary' instead of T/F
    legendary = if_else(legendary, 'Legendary', 'Not Legendary'),
    # Changing hectograms to ounces and decimeters to inches
    weight = weight * 3.5274,
    height = height * 3.93701
  )

Data Description

The pokedex data set has the information on 697 Pokemon up to generation 6 (X & Y). The relevant columns for this assignment are:

  1. number: the unique identifier for the pokemon in the data set
  2. name: the name of the pokemon
  3. type1 and type2: Which of 17 different types a pokemon can be (many have two types)
  4. assessed_value: The value of the property assessed by the town for tax purposes
  5. hp, attack, defense, sp_atk, sp_def, and speed: the base combat attributes
  6. generation and debut_game: Which game the pokemon debuted in.
  7. height and weight: The size of each pokemon (in inches and ounces, respectively)
  8. sprites: a url to an image of each pokemon in sprite form
  9. main_type: Which of the 5 most common types (Water/Grass/Fire/Bug/Normal/Other) a pokemon is based on type1 or type2

Question 1: Histogram of Weight

Create the graph seen in Brightspace for a histogram of weight. There should be 20 bars in the histogram

Question 2: Density plot of speed

Create the graph of seen in Brightspace.

Question 3: Density plot of speed with count on the y-axis

Recreate the graph from the previous question, but include y = after_stat(count) inside of aes().

What is shown when displaying the count on the y-axis instead of the density?

Question 6: Line graph of type count by generation

Use the data set rare_types_by_generation created in the code chunk below. It contains the number (n) of the four rarest pokemon types (Ghost, Fairy, Ice, Dragon) that debuted in each generation.

##    generation    debut_game   type  n
## 1           1      Red/Blue  Ghost  3
## 2           2   Gold/Silver  Ghost  1
## 3           3 Ruby/Sapphire  Ghost  6
## 4           4 Diamond/Pearl  Ghost  7
## 5           5   Black/White  Ghost  9
## 6           6           X/Y  Ghost  4
## 7           1      Red/Blue  Fairy  4
## 8           2   Gold/Silver  Fairy  8
## 9           3 Ruby/Sapphire  Fairy  5
## 10          4 Diamond/Pearl  Fairy  1
## 11          5   Black/White  Fairy  2
## 12          6           X/Y  Fairy 12
## 13          1      Red/Blue    Ice  5
## 14          2   Gold/Silver    Ice  5
## 15          3 Ruby/Sapphire    Ice  6
## 16          4 Diamond/Pearl    Ice  6
## 17          5   Black/White    Ice  7
## 18          6           X/Y    Ice  4
## 19          1      Red/Blue Dragon  3
## 20          2   Gold/Silver Dragon  1
## 21          3 Ruby/Sapphire Dragon  9
## 22          4 Diamond/Pearl Dragon  5
## 23          5   Black/White Dragon 10
## 24          6           X/Y Dragon  8

Create the line graph for each type introduced in each generation. You can find what it should look like in Brightspace.

The hexcolors for each of the four types are:

'Dragon' = '#6f35fc',
'Fairy'  = '#d685ad',
'Ghost'  = '#000000',
'Ice'    = '#96d9d6'

Also, include scale_x_discrete(expand = c(0, 0.25)) to have the x-axis margins match what is seen in Brightspace

Bonus: Including images in a graph

The package ggimage has a function called geom_image() that works like geom_point(), but needs one additional aesthetic: image, which you give a column that has either a file path (if the images are on your computer) or url (if the image is found online).

The example below will display the attack and defense for the three original starter pokemon and their evolutions plus the original legendary pokemon:

geom_image() can be pretty handy if you can either create a column with the image location (like we did here) or if the data set has the url in it already (the nflfastR package has a data set called teams_colors_logos that has the url of each team’s logo).