10.45 Random Observations

20180721 It is also useful to review some random observations from the dataset to provide a little more insight. Here we use dplyr::sample_n() to randomly select six rows from the dataset.

# Review a random sample of observations.

sample_n(ds, size=6) %>% print.data.frame()
##         date         location min_temp max_temp rainfall evaporation sunshine
## 1 2020-03-08           Sydney     16.6     23.2     18.8         7.8      3.6
## 2 2012-11-07         Portland      8.1     18.5      0.2         4.4     10.2
## 3 2009-08-15        Nuriootpa      7.5     24.8      0.0          NA       NA
## 4 2018-03-21      Williamtown     19.8     21.4     21.8          NA       NA
## 5 2020-05-13 MelbourneAirport      9.0     13.7      3.4         3.0      2.7
## 6 2014-11-16          Mildura     12.1     23.2      5.4         5.0     11.3
##   wind_gust_dir wind_gust_speed wind_dir_9am wind_dir_3pm wind_speed_9am
## 1           SSE              33           SW          SSE             15
## 2             W              33          NNW          WSW             13
## 3           NNW              61            N            N             17
....


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