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(This article was first published on <strong><a href="https://itsalocke.com/blog/working-with-pdfs---scraping-the-pass-budget/"> R on Locke Data Blog</a></strong>, and kindly contributed to <a rel="nofollow" href="https://www.r-bloggers.com/">R-bloggers)</a> </div>
<p>Using tabulizer we’re able to extract information from PDFs so it comes in really handy when people publish data as a PDF! This post takes you through using tabulizer and tidyverse packages to scrape and clean up some budget data from PASS, an association for the Microsoft Data Platform community. The goal is to mainly show some of the tricks of the data wrangling trade that you may need to utilise when you scrape data from PDFs.</p>
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<div>To <strong>leave a comment</strong> for the author, please follow the link and comment on their blog: <strong><a href="https://itsalocke.com/blog/working-with-pdfs---scraping-the-pass-budget/"> R on Locke Data Blog</a></strong>.</div>
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