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
gapminderDATA<-gapminder

average_gdp_by_continent <- gapminderDATA %>% 
  group_by(continent) %>% 
  summarize(Average_GDP = mean(gdpPercap, na.rm = TRUE))

max_gdp_by_continent <- gapminderDATA %>% 
  group_by(continent) %>% 
  summarize(Maximum_GDP = max(gdpPercap, na.rm = TRUE))

summary_df <- merge(average_gdp_by_continent, max_gdp_by_continent, by = "continent")
summary_df
##   continent Average_GDP Maximum_GDP
## 1    Africa    2193.755    21951.21
## 2  Americas    7136.110    42951.65
## 3      Asia    7902.150   113523.13
## 4    Europe   14469.476    49357.19
## 5   Oceania   18621.609    34435.37

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(gapminderDATA, x = ~gdpPercap, y = ~lifeExp, color = ~continent,
        size = ~pop, text = ~country,
        hoverinfo = "text", type = 'scatter', mode = "markers") %>%
  layout(title = "Life Expectancy vs. GDP per Capita in 2007",
         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 varable that should determine the frame.

# Code goes here

#Uncomment the line below and modify as needed!
animated_plot <- plot_ly(gapminderDATA, x = ~gdpPercap, y = ~lifeExp, color = ~continent,
        size = ~pop,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,  #The time between frames is set to 100 milliseconds(This increased the speed of the animation)
                 redraw = TRUE, # Triggers a redraw of the plot at completion of the transition
                 easing = "linear") #Makes it so the speed of the animation is constant throughout the years
                 #autoplay = TRUE) #This did not work
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 = .55,  
       y = -0.4,  
       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.

Q7

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