14.2 ML Data and Variables

20210104

The rattle::weatherAUS dataset is loaded into the template variable ds and further template variables are setup as introduced by Graham J. Williams (2017). See Chapter 8 for details.

dsname <- "weatherAUS"
ds     <- get(dsname)
    
nobs   <- nrow(ds)

vnames <- names(ds)
ds    %<>% clean_names(numerals="right")
names(vnames) <- names(ds)

vars   <- names(ds)
target <- "rain_tomorrow"
vars   <- c(target, vars) %>% unique() %>% rev()

It is always useful to remind ourselves of the dataset with a random sample:

ds  %>% sample_frac() %>% select(date, location, sample(3:length(vars), 5))

## # A tibble: 275,410 × 7
##    date       location     humidity_3pm wind_gust_speed cloud_9am wind_speed_3pm
##    <date>     <chr>               <int>           <dbl>     <int>          <dbl>
##  1 2011-06-28 MelbourneAi…           63              20         7              2
##  2 2015-11-14 Nhil                   40              46        NA             31
##  3 2015-06-04 Darwin                 24              NA         3             30
##  4 2013-05-02 Darwin                 40              39         1             19
##  5 2020-03-20 Dartmoor               72              44        NA             24
##  6 2024-02-27 Albury                 30              NA        NA             19
##  7 2012-05-03 PerthAirport           59              39         2             22
##  8 2012-09-28 Moree                  21              44         0             28
....

References

Williams, Graham J. 2017. The Essentials of Data Science: Knowledge Discovery Using r. The r Series. CRC Press.

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