Data Visualization

A short description of the post.

  1. Load the packages we will use
  1. Quiz questions

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

e_charts-1

Start with spend_time

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: echarts-2

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

Start with spend_time

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

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

Retrieve stock price for Amazon, ticker: AMZN, using tq_get

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

Create a plot with the df data

ggplot(df, aes(x = date, y = close)) +
  geom_line() +
  geom_mark_ellipse(aes(
    filter  = date == "2019-12-31",
    description = "The first recorded U.S. case of the new virus is reported"
  ), fill  = "yellow",) +
  geom_mark_ellipse(aes(
   filter  = date == "2020-06-30",
    description = "U.S. has 126,140 total deaths, 2.59 million confirmed cases, and 30 million tests completed."
  ), color = "red", ) +
  labs(
    title = "Amazon",
    x = NULL,
    y = "Closing price per share",
    caption = "Source: https://en.wikipedia.org/wiki/Timeline_of_the_COVID-19_pandemic_in_the_United_States"
  )

Save the previous plot to preview.png and add to the yaml chunk at the top

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