10.44 Dataset Head and Tail
20180721 Datasets can be very large, with many observations (millions) and many variables (thousands). We can’t be expected to browse through all of the observations and variables. Instead we might review the contents of the dataset using utils::head() and utils::tail() to consider the top six (by default) and the bottom six observations.
## date location min_temp max_temp rainfall evaporation sunshine
## 1 2008-12-01 Albury 13.4 22.9 0.6 NA NA
## 2 2008-12-02 Albury 7.4 25.1 0.0 NA NA
## 3 2008-12-03 Albury 12.9 25.7 0.0 NA NA
## 4 2008-12-04 Albury 9.2 28.0 0.0 NA NA
## 5 2008-12-05 Albury 17.5 32.3 1.0 NA NA
## 6 2008-12-06 Albury 14.6 29.7 0.2 NA NA
## wind_gust_dir wind_gust_speed wind_dir_9am wind_dir_3pm wind_speed_9am
## 1 W 44 W WNW 20
## 2 WNW 44 NNW WSW 4
## 3 WSW 46 W WSW 19
....## date location min_temp max_temp rainfall evaporation sunshine
## 1 2023-03-20 Uluru 26.3 38.4 0 NA NA
## 2 2023-03-21 Uluru 26.5 38.9 0 NA NA
## 3 2023-03-22 Uluru 25.1 39.1 0 NA NA
## 4 2023-03-23 Uluru 23.2 39.8 0 NA NA
## 5 2023-03-24 Uluru 22.5 39.8 0 NA NA
## 6 2023-03-25 Uluru 24.2 39.4 0 NA NA
## wind_gust_dir wind_gust_speed wind_dir_9am wind_dir_3pm wind_speed_9am
## 1 E 50 E ENE 22
## 2 SE 43 E NE 28
## 3 ENE 39 ESE ESE 22
....All the time we are building a picture of the data we are looking
at. It is beginning to confirm that location has multiple
values whilst date does appear to be a sequence for each
location.
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