4.1 Some simple statistics
Time series numerical summary (ex. mean, median, minimum and maximum values) can be computed using the
features()
function.Example: Compute the means of all the series in the Australian tourism data.
## # A tibble: 304 × 4
## Region State Purpose mean
## <chr> <chr> <chr> <dbl>
## 1 Kangaroo Island South Australia Other 0.340
## 2 MacDonnell Northern Territory Other 0.449
## 3 Wilderness West Tasmania Other 0.478
## 4 Barkly Northern Territory Other 0.632
## 5 Clare Valley South Australia Other 0.898
## 6 Barossa South Australia Other 1.02
## 7 Kakadu Arnhem Northern Territory Other 1.04
## 8 Lasseter Northern Territory Other 1.14
## 9 Wimmera Victoria Other 1.15
## 10 MacDonnell Northern Territory Visiting 1.18
## # ℹ 294 more rows
- The least average number of visits corresponds to “Other” purpose category.
4.1.1 Five summary statistics
- Five summary statistics (minimum - 0%, first quantile - 25%, median - 50% quantile, third quantile - 75% and maximum values - 100%) for each series.
## # A tibble: 304 × 8
## Region State Purpose `0%` `25%` `50%` `75%` `100%`
## <chr> <chr> <chr> <dbl> <dbl> <dbl> <dbl> <dbl>
## 1 Adelaide South Australia Busine… 68.7 134. 153. 177. 242.
## 2 Adelaide South Australia Holiday 108. 135. 154. 172. 224.
## 3 Adelaide South Australia Other 25.9 43.9 53.8 62.5 107.
## 4 Adelaide South Australia Visiti… 137. 179. 206. 229. 270.
## 5 Adelaide Hills South Australia Busine… 0 0 1.26 3.92 28.6
## 6 Adelaide Hills South Australia Holiday 0 5.77 8.52 14.1 35.8
## 7 Adelaide Hills South Australia Other 0 0 0.908 2.09 8.95
## 8 Adelaide Hills South Australia Visiti… 0.778 8.91 12.2 16.8 81.1
## 9 Alice Springs Northern Territo… Busine… 1.01 9.13 13.3 18.5 34.1
## 10 Alice Springs Northern Territo… Holiday 2.81 16.9 31.5 44.8 76.5
## # ℹ 294 more rows