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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