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.

gap <- gapminder

gap %>% group_by(continent) %>% summarize(avg=mean(gdpPercap), max=max(gdpPercap)) 
## # A tibble: 5 × 3
##   continent    avg     max
##   <fct>      <dbl>   <dbl>
## 1 Africa     2194.  21951.
## 2 Americas   7136.  42952.
## 3 Asia       7902. 113523.
## 4 Europe    14469.  49357.
## 5 Oceania   18622.  34435.

The variables appear in the following order: country, continent, year, lifeExp, pop, gdpPercap.

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"))

#Uncomment and modify the line below this one to create your plot!
static_plot <- plot_ly(gap, x=~gdpPercap, y=~lifeExp, size=~pop, color=~continent, mode="markers", marker = list(sizemode = "diameter"), type="scatter")
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 varable that should determine the frame.

# Code goes here

#Uncomment the line below and modify as needed!
animated_plot <- plot_ly(gap, x=~gdpPercap, y=~lifeExp, size=~pop, color=~continent, mode="markers", marker = list(sizemode = "diameter"), type="scatter", frame=~year)
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.

#Uncomment the lines below to see the updated animation. 
animated_chart <- animated_plot %>% 
  animation_opts(frame = 100,  #What did this do?
                 redraw = TRUE, # What did this do?
                 easing = "linear") #What did this do?
                 #autoplay = TRUE) #What did this do)
animated_chart

Adding frame=100 made the animation much faster. Adding redraw=TRUE made the slider stay on the year the animation started on once moved manually. It would still animate and go through the years, but the slider would stay fixed wherever it started. Adding easing = “linear” made the transitions smoother. Without it, the graph feels like it jumps between years more abruptly. Adding autoplay = TRUE gave the error ‘unused argument (autoplay = TRUE)’, so I have left it commented out.

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 = -0.02,  
       y = -0.5,  
       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.

label_animation <- interactive_chart %>% layout(
  title = 'GDP per captia vs. Life Expectancy from 1952-2007',
         xaxis = list(title = 'GDP per capita',
                      zeroline = TRUE),
         yaxis = list(title = 'Life Expectancy',
                       zeroline = TRUE))
label_animation

Q7

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