10.5 Add Counts

20200814 Using dplyr::add_count() a new column will be added to the dataset recording the size of groups. The column name will be n.

ds %<>%
  add_count(location) %T>%
  {
    select(., date, location, n) %>%
    sample_frac() %>%
    print()
  }
## # A tibble: 191,431 x 3
##    date       location       n
##    <date>     <chr>      <int>
##  1 2018-10-19 Brisbane    4137
##  2 2019-06-23 Portland    3953
##  3 2010-07-30 Perth       4136
##  4 2014-09-22 Brisbane    4137
##  5 2021-02-22 Portland    3953
##  6 2011-08-08 Melbourne   4137
##  7 2009-05-23 Wollongong  3984
##  8 2010-08-05 Walpole     3949
##  9 2014-12-06 Nuriootpa   3952
## 10 2014-06-12 Bendigo     3975
## # … with 191,421 more rows
names(ds)
##  [1] "date"            "location"        "min_temp"        "max_temp"       
##  [5] "rainfall"        "evaporation"     "sunshine"        "wind_gust_dir"  
##  [9] "wind_gust_speed" "wind_dir_9am"    "wind_dir_3pm"    "wind_speed_9am" 
## [13] "wind_speed_3pm"  "humidity_9am"    "humidity_3pm"    "pressure_9am"   
## [17] "pressure_3pm"    "cloud_9am"       "cloud_3pm"       "temp_9am"       
## [21] "temp_3pm"        "rain_today"      "risk_mm"         "rain_tomorrow"  
## [25] "n"


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