Note the use of the p_load() function from the pacman package!

Q1

Load the gapminder dataset into your R environment and take a look at it. Note the location of different variables and include a summary of the average and maximum GDP by continent.

library(gapminder)
library(dplyr)
## 
## Attaching package: 'dplyr'
## The following objects are masked from 'package:stats':
## 
##     filter, lag
## The following objects are masked from 'package:base':
## 
##     intersect, setdiff, setequal, union
summary <- gapminder %>%
  group_by(continent) %>%
  summarise(average_gdp = mean(gdpPercap, na.rm = TRUE),
            max_gdp = max(gdpPercap, na.rm = TRUE))

summary
## # A tibble: 5 × 3
##   continent average_gdp max_gdp
##   <fct>           <dbl>   <dbl>
## 1 Africa          2194.  21951.
## 2 Americas        7136.  42952.
## 3 Asia            7902. 113523.
## 4 Europe         14469.  49357.
## 5 Oceania        18622.  34435.

Q2

Using plotly, create a static bubble chart of the gapminder data. Map GDP to the x axis, life expectancy to the Y axis, and population to the size of the bubbles. Each bubble’s color should be based on the region of that nation. Hint: If size is not working properly for you, you may want to use: marker = list(sizemode = "diameter"))

library(plotly)

static_plot <- plot_ly(gapminder, x = ~gdpPercap, y = ~lifeExp, color = ~continent,
        size = ~pop, text = ~country,
        hoverinfo = "text", type = 'scatter', mode = "markers", marker = list(sizemode = "diameter")) %>%
  layout(title = "Life Expectancy vs. GDP per Capita in Different Regions",
         xaxis = list(title = "GDP per Capita"),
         yaxis = list(title = "Life Expectancy"))

static_plot

Note here that the plot looks pretty messy because all the years are present on the plot. It would be nice to see the dots by country one year at a time, right?

Q3

Create a new plotly object that is similar to the previous one, but includes animation. This is as easy as adding frame to your plot_ly command and specifying the variable that should determine the frame.

animated_plot <- plot_ly(gapminder, x = ~gdpPercap, y = ~lifeExp, color = ~continent,
        size = ~pop, text = ~country, frame = ~year,
        hoverinfo = "text", type = 'scatter', mode = "markers", marker = list(sizemode = "diameter")) %>%
  layout(title = "Life Expectancy vs. GDP per Capita in Different Regions",
         xaxis = list(title = "GDP per Capita"),
         yaxis = list(title = "Life Expectancy"))

animated_plot

Q4

Try adding a few options to alter your animation lightly. As long as you’ve created your plot correctly, all you need to do here is uncomment the code, run the chunk, and explain what each part did.

animated_chart <- animated_plot %>% 
  animation_opts(frame = 100,  #What did this do? - each frame will last for 100 milliseconds 
                 redraw = TRUE, # What did this do? - plot is redrawn at each frame
                 easing = "linear") #What did this do? - animation progresses at a constant rate
                # autoplay = TRUE) #What did this do - animation will start automatically when loaded

animated_chart

Q5

Now, let’s add a button to pause the animation. You should spend a bit of time looking at this code and understanding what it does, then try to move the button to a place that makes more sense.

 interactive_chart <- animated_chart %>% layout(
   updatemenus = list(
     list(
       type = "buttons",
       showactive = FALSE,
       x = 1,  
       y = 0,  
       buttons = list(
         
         list(
           label = "Pause",
           method = "animate",
           args = list(NULL, list(frame = list(duration = 0, 
                                               redraw = TRUE), 
                                  mode = "immediate"))
         )
       )
     )
   )
 )
 interactive_chart

Q6

Add a title, axis labels, any other important annotations to the plot. This could include adding hover text or other elements.

interactive_chart

Q7

Practice publishing your final plot to Rpubs (or another location of your choice) and include the link in your submission.