Go to TogaWare.com Home Page. Data Science Desktop Survival Guide
by Graham Williams
Duck Duck Go



CLICK HERE TO VISIT THE UPDATED SURVIVAL GUIDE

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 2011-12-30  PerthAirport     18.0     31.6      0.0         7.8     10.9
## 2 2010-05-09    Townsville     16.0     27.3      0.0         6.4      4.4
## 3 2017-06-29 NorfolkIsland     14.0     19.2      0.0         3.0       NA
## 4 2012-06-18        Cairns     16.5     26.5      0.0         6.2      9.5
## 5 2020-01-18 SydneyAirport     18.2     22.8     14.0         3.2      0.0
## 6 2015-02-14          Sale     18.5     23.0     15.6          NA       NA
##   wind_gust_dir wind_gust_speed wind_dir_9am wind_dir_3pm wind_speed_9am
## 1           WSW              35            N          WSW              9
## 2            SE              41          SSW           SE              9
## 3           SSE              30          SSE           SE             17
....


Support further development by purchasing the PDF version of the book.
Other online resources include the GNU/Linux Desktop Survival Guide.
Books available on Amazon include Data Mining with Rattle and Essentials of Data Science.
Popular open source software includes rattle and wajig.
Hosted by Togaware, a pioneer of free and open source software since 1984.
Copyright © 2000-2020 Togaware Pty Ltd. . Creative Commons ShareAlike V4.