Flempar the extra's

Writing your data to a CSV file

In many cases, it might be useful to write the resulting data frame (here named result, but can be any name of your choosing) to a CSV file. Here’s the code to do so, making use of the write.csv2() function. Note that we included a line on how to drop columns containing data in list format, a format a CSV file cannot handle. Careful inspection of your data and its formats is therefore always necessary!

result %>%
     select_if(Negate(is.list)) %>%
     write.csv2("result.csv", row.names=FALSE)

The CSV file can now be found in your local folder.

Applying regexp to detect patterns in text

Given the large bulks of text that can be gathered through the get_work() function, it might come in handy to structure this text a bit and apply regexp to detect patterns in the text, for instance, split up some text in multiple columns.

To illustrate this, we first query for a set of written questions (via get_work(), specifying fact="written_questions" and type="document"). These questions have a distinct structure: they are composed of a ‘question’ by an MP and an ‘answer’ by a minister. So let’s ensure that ‘question’ and ‘answer’ are stored in separate columns instead of being one big bulk of text. To do so, we use mutate from dplyr to create the extra columns and we extract the strings via str_extract from stringr (more info here).

Note that this procedure entirely relies on identifying the string or sequence of words that marks the distinctive parts of a text. In our case, we identify ‘ANTWOORD op vraag’ (or: ANSWER to question) as introducing the distinction between the ‘question’ and ‘answer’ parts of the written question.

Finally, note that we use regexp. You can look up all possibilities here.

written_questions <- get_work(date_range_from="2022-02-15"
                       , date_range_to="2022-02-20"
                       , fact="written_questions"
                       , type="document")

written_questions %>%
      mutate(vraag= str_extract(text, ".*(?<=ANTWOORD op )")) %>%
      mutate(antwoord= str_extract(text, "(?<=ANTWOORD op ).*") ) %>%
      write.csv2("written_questions.csv",row.names = FALSE)