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: 208,495 × 7
##    date       location      pressure_3pm evaporation humidity_9am wind_speed_9am
##    <date>     <chr>                <dbl>       <dbl>        <int>          <dbl>
##  1 2021-08-06 Witchcliffe          1021.        NA             96             11
##  2 2019-03-24 Darwin               1007.         5.8           91             20
##  3 2021-10-10 Watsonia             1012.         5.4           89             13
##  4 2018-10-28 Mildura              1017.         8.9           58             15
##  5 2020-09-10 WaggaWagga           1026.         4.6           65             28
##  6 2021-08-10 MelbourneAir…        1018          2.4           80             37
##  7 2017-04-12 Melbourne            1024.         2.8           79              9
##  8 2021-09-19 MountGinini            NA         NA             95             26
....

References

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

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