Data Science Desktop Survival Guide by Graham Williams
Desktop Survival Project Home Preface Data Science Introducing R R Constructs R Tasks R Strings R Read, Write, and Create Data Template Data Exploration Data Wrangling Data Visualisation Statistics ML Template ML Scenarios ML Activities ML Applications ML Algorithms Cluster Analysis Decision Trees Computer Vision Graph Data Privacy Literate Data Science Coding with Style Resources Bibliography Index

CLICK HERE TO VISIT THE UPDATED SURVIVAL GUIDE

Tee Pipe Alternatives

REVIEW We could simply base::print() the value of the variable no_rain after the assignment or else enclose the assignment within round brackets but there is some elegance in including it explicitly as part of the single pipeline.

# Equivalent alternatives to the above tee-pipe example.

(
  ds %>%
    select(rainfall, min_temp, max_temp, sunshine) %>%
    filter(rainfall==0) ->
  no_rain
)

## # A tibble: 112,447 x 4
##    rainfall min_temp max_temp sunshine
##       <dbl>    <dbl>    <dbl>    <dbl>
##  1        0      7.4     25.1       NA
##  2        0     12.9     25.7       NA
##  3        0      9.2     28         NA
....

print(no_rain)

## # A tibble: 112,447 x 4
##    rainfall min_temp max_temp sunshine
##       <dbl>    <dbl>    <dbl>    <dbl>
##  1        0      7.4     25.1       NA
##  2        0     12.9     25.7       NA
##  3        0      9.2     28         NA
....