11.2 Visualisation Data
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.
<- "weatherAUS"
dsname <- get(dsname)
ds
<- nrow(ds)
nobs
<- names(ds)
vnames %<>% clean_names(numerals="right")
ds names(vnames) <- names(ds)
<- names(ds)
vars <- "rain_tomorrow"
target <- c(target, vars) %>% unique() %>% rev() vars
We also do a little more to set the data up for demonstrating various approaches to visualisation. As with the model template, a number of template variables are identified here. We also a little data wrangling to remove all missing values by performing a missing value imputation with randomForest::na.roughfix().
<- "risk_mm"
risk <- c("date", "location")
id <- c(risk, id)
ignore <- setdiff(vars, ignore)
vars <- setdiff(vars, target)
inputs %<>% na.roughfix() ds[vars]
References
Williams, Graham J. 2017. The Essentials of Data Science: Knowledge Discovery Using r. The r Series. CRC Press.
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