users <- readr::read_csv('https://raw.githubusercontent.com/rsquaredacademy/datasets/master/users_device.csv',
col_types = list(col_date(format = "%m/%d/%y"), col_integer(),
col_integer(), col_integer()))
## # A tibble: 33 x 4
## Date Desktop Mobile Tablet
## <date> <int> <int> <int>
## 1 2017-10-11 2345 876 92
## 2 2017-10-12 2173 784 111
## 3 2017-10-13 1826 772 97
## 4 2017-10-14 1178 1032 155
## 5 2017-10-15 1239 747 105
## 6 2017-10-16 2158 801 85
## 7 2017-10-17 2682 1307 127
## 8 2017-10-18 2252 1110 112
## 9 2017-10-19 2210 891 93
## 10 2017-10-20 2040 824 94
## # ... with 23 more rows
Below is the description of the data set:
plot(users$Date, users$Desktop, type = 'l', main = 'Daily Visitors',
xlab = 'Date', ylab = 'Visitors')