Data Science Desktop Survival Guide by Graham Williams
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Exploration Setup

20200317 Packages used in this chapter include dplyr, magrittr, and rattle.

Packages are loaded into the currently running R session from your local library directories on disk. Missing packages can be installed using utils::install.packages() within R. On Ubuntu, for example, R packages can be installed using wajig install r-cran-<pkgname>.

# Load required packages from local library into the R session.

library(dplyr)        # Wrangling: select() sample_frac().
library(magrittr)     # Data pipelines: %>% %<>% %T>% equals().
library(rattle)       # normVarNames(). Dataset: weather.

The rattle::weatherAUS dataset is loaded into the template variable ds and further template variables are setup as introduced in Williams (2017). See Chapter 7 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()

A random sample of the dataset:

ds %>% sample_frac()

## # A tibble: 176,747 x 24
##    date       location min_temp max_temp rainfall evaporation sunshine
##    <date>     <chr>       <dbl>    <dbl>    <dbl>       <dbl>    <dbl>
##  1 2013-09-03 Penrith       7.8     24.6      0          NA       NA  
##  2 2017-12-12 Cobar        20.7     37.2      0          NA       NA  
##  3 2014-12-01 WaggaWa~     17.7     33.9      3.8         5.4     10.1
##  4 2012-10-09 SalmonG~      9.4     21.8      0.4        NA       NA  
##  5 2012-06-10 WaggaWa~      0.7     16        0           1        9  
##  6 2019-01-20 GoldCoa~     21.8     29.7      0          NA       NA  
##  7 2019-03-11 Uluru        23.7     44.8      0          NA       NA  
##  8 2014-05-29 Penrith       7       22.1      0          NA       NA  
##  9 2012-10-21 Woomera      15.5     28.7      0          15.8     11  
## 10 2016-01-08 MountGa~     10.9     23.8      0           6.8     12  
## # ... with 176,737 more rows, and 17 more variables: wind_gust_dir <ord>,
....