Data Visualization

Code for Quiz 9
  1. Load the R package we will use. 
    library(tidyverse)
library(echarts4r)
library(ggforce)
library(tidyquant)

Question: e_charts-1

Create a bar chart that shows the average hours Americans spend on five activities by year. Use the timeline argument to create an animation that will animate through the years.

spend_time contains 10 years of data on how many hours Americans spend each day on 5 activities

read it into spend_time

spend_time  <- read_csv("https://estanny.com/static/week8/spend_time.csv")

e_charts-1

Start with spend_time

-THEN group_by year

-THEN create an e_chart that assigns activity to the x-axis and will show activity by year (the variable that you grouped the data on)

-THEN use e_timeline_opts to set autoPlay to TRUE

-THEN use e_bar to represent the variable avg_hours with a bar chart

-THEN use e_title to set the main title to ‘Average hours Americans spend per day on each activity’

-THEN remove the legend with e_legend

spend_time %>% 
  group_by(year) %>% 
  e_charts(x = activity, timeline = TRUE) %>% 
  e_timeline_opts(autoPlay = TRUE) %>% 
  e_bar(serie = avg_hours) %>% 
  e_title(text = 'Average hours Americans spend per day on each activity') %>% 
  e_legend(show = FALSE)

Question: e_charts-2

Create a line chart for the activities that American spend time on.

Start with spend_time

-THEN use mutate to convert year from an number to a string (year-month-day) using mutate -first convert year to a string “201X-12-31” using the function paste -paste will paste each year to 12 and 31 (separated by -) THEN

-THEN use mutate to convert year from a character object to a date object using the ymd function from the lubridate package (part of the tidyverse, but not automatically loaded). ymd converts dates stored as characters to date objects.

-THEN group_by the variable activity (to get a line for each activity)

-THEN initiate an e_charts object with year on the x-axis

-THEN use e_line to add a line to the variable avg_hours

-THEN add a tooltip with e_tooltip

-THEN use e_title to set the main title to ‘Average hours Americans spend per day on each activity’

-THEN use e_legend(top = 40) to move the legend down (from the top)

spend_time  %>%
  mutate(year = paste(year, "12","31", sep = "-"))  %>% 
  mutate(year = lubridate::ymd(year))  %>% 
  group_by(activity)  %>%
  e_charts(x  = year)  %>% 
  e_line(serie = avg_hours)  %>% 
  e_tooltip()  %>% 
  e_title(text = 'Average hours Americans spend per day on each activity')  %>% 
  e_legend(top = 40)

Question: modify slide 82

-Create a plot with the spend_time data -assign year to the x-axis -assign avg_hours to the y-axis -assign activity to color

-ADD points with geom_point

-ADD geom_mark_ellipse -filter on activity == “leisure/sports” -description is “Americans spend the most time on leisure/sport”

ggplot(spend_time, aes(x = year, y = avg_hours , color = activity)) +
geom_point() +
geom_mark_ellipse(aes(filter = activity == "leisure/sports",
 description = "Americans spend on average more time each day on leisure/sports than the other activities"))

Question: tidyquant

Modify the tidyquant example in the video

Retrieve stock price for Facebook, ticker: FB, using tq_get

-from 2019-08-01 to 2020-07-28

-assign output to df

df  <- tq_get("FB", get = "stock.prices", 
          from = "2019-08-01", to = "2020-07-28" )

Create a plot with the df data

-assign date to the x-axis

-assign close to the y-axis

-ADD a line with with geom_line

-ADD geom_mark_ellipse

-filter on a date to mark. Pick a date after looking at the line plot. Include the date in your Rmd code chunk. -include a description of something that happened on that date from the pandemic timeline. Include the description in your Rmd code chunk -fill the ellipse yellow

-ADD geom_mark_ellipse

-filter on the date that had the minimum close price. Include the date in your Rmd code chunk. -include a description of something that happened on that date from the pandemic timeline. Include the description in your Rmd code chunk -color the ellipse red

-ADD labs

-set the title to Facebook -set x to NULL -set y to “Closing price per share” -set caption to “Source: https://en.wikipedia.org/wiki/Timeline_of_the_COVID-19_pandemic_in_the_United_States”

ggplot(df, aes(x = date, y = close)) +
  geom_line() +
  geom_mark_ellipse(aes(
    filter = date == "2020-04-18",
    description = "Governor Gavin Newsom issues the country's first statewide stay-at-home order"
  ), fill = "yellow") +
  geom_mark_ellipse(aes(
   filter  = date == "2020-04-26",
    description = "The total # of reported confirmed cases in the U.S. surpasses that of China with over 85,000, making it the country with the highest # of coronavirus patients in the world"
  ), color = "red", ) +
  labs(
    title = "Facebook",
    x = NULL,
    y = "Closing price per share",
    caption = "Source: https://en.wikipedia.org/wiki/Timeline_of_the_COVID-19_pandemic_in_the_United_States"
  )

ggsave(filename = "preview.png", 
       path = here::here("_posts", "2021-04-20-data-visualization"))

Footnotes