Скачать или смотреть How to Use str_detect and across in R to Identify Keywords in Multiple Columns

Learn how to effectively create a new column in R that identifies specific keywords across multiple columns using `str_detect` and `across` from the dplyr package.
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Unleashing the Power of R: Detecting Keywords Across Multiple Columns

In data analysis, one common requirement is to search for specific strings across multiple columns and generate results based on findings. In this post, we'll explore how to use the R programming language to achieve this using the str_detect and across functions from the popular dplyr package.

The Challenge

Imagine you have a dataset containing various job titles across several columns. You want to determine if any of those titles contain the string "No job". The goal is to create a new column that will return 1 if the string is present in any of the relevant job columns, and 0 if it's not.

Sample Data Structure

Consider a dataset structured as follows:

job1job2idSalesMailmanid_1BakerJockeyid_2BlacksmithJobhunterid_3BrewerNo jobid_4The desired output is to add another column (no_job) that indicates the presence of "No job":

job1job2idno_jobSalesMailmanid_10BakerJockeyid_20BlacksmithJobhunterid_30BrewerNo jobid_41The Solution

While there are several methods to achieve this, using rowwise() alongside c_across() offers a clean solution without needing additional steps like uniting columns. Here's how you can do it:

Step-by-Step Implementation

Load Necessary Libraries: Make sure you have dplyr and stringr installed and loaded in your R session.

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Create Your Data Frame: Start with your initial dataset.

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Mutate with Keyword Detection: Now, use the rowwise() function along with c_across() to check for your keyword in the specified columns.

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This code works by doing the following:

rowwise(): This function allows operations to be done across rows rather than columns.

c_across(): It captures values from the specified columns (job1 and job2) for each row.

str_detect(): This checks each value for the presence of the string "No job".

any(): It returns TRUE if the condition is satisfied in any of the columns; by adding a + before any(), we convert this logical output directly into a numeric value (0 or 1).

Final Output

The final result of your dataframe will look as desired:

job1job2idno_jobSalesMailmanid_10BakerJockeyid_20BlacksmithJobhunterid_30BrewerNo jobid_41Conclusion

Using str_detect and across provides an efficient and tidy way to perform keyword searches across multiple columns in R. This approach maintains the integrity of your original data while allowing you to derive meaningful insights. So the next time you need to check for specific strings across columns, remember this handy solution!

If you have any questions or want to share your experiences using R, feel free to drop a comment below. Happy coding!