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

Selecting Columns

20200317

Columns from a data frame can be dplyr::select()'ed simply by listing the column names. The columns in the resulting data frame will be in the same order as they are listed in the function call.

ds %>%
  select(date, location, min_temp, temp_9am, temp_3pm, max_temp)

## # A tibble: 176,747 x 6
##    date       location min_temp temp_9am temp_3pm max_temp
##    <date>     <chr>       <dbl>    <dbl>    <dbl>    <dbl>
##  1 2008-12-01 Albury       13.4     16.9     21.8     22.9
##  2 2008-12-02 Albury        7.4     17.2     24.3     25.1
##  3 2008-12-03 Albury       12.9     21       23.2     25.7
##  4 2008-12-04 Albury        9.2     18.1     26.5     28  
##  5 2008-12-05 Albury       17.5     17.8     29.7     32.3
##  6 2008-12-06 Albury       14.6     20.6     28.9     29.7
##  7 2008-12-07 Albury       14.3     18.1     24.6     25  
##  8 2008-12-08 Albury        7.7     16.3     25.5     26.7
##  9 2008-12-09 Albury        9.7     18.3     30.2     31.9
## 10 2008-12-10 Albury       13.1     20.1     28.2     30.1
## # ... with 176,737 more rows