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 2009-09-13      Bendigo     13.3     19.3      0.6         8.0       NA
## 2 2010-11-04 CoffsHarbour     14.8     22.6      0.0         7.6      4.8
## 3 2010-07-02      Penrith      4.1     11.3      0.0          NA       NA
## 4 2014-05-08         Nhil      4.6     17.3      0.0          NA       NA
## 5 2018-06-28     Adelaide      2.3     13.9      0.0          NA       NA
## 6 2012-03-21      Mildura     16.5     22.4      0.0         9.2      5.0
##   wind_gust_dir wind_gust_speed wind_dir_9am wind_dir_3pm wind_speed_9am
## 1            NW              52          NNW           NW             13
## 2            NE              41          WSW           NE             13
## 3           SSW              19         <NA>          NNW              0
....


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