#How to read rjava in r movie
#How to read rjava in r pdf
#How to read rjava in r code
#How to read rjava in r mac

# convert long blob of text into a single rowed dataframeĪs_tibble ( ) # prepare pieces of regular expression with name of group and pattern So instead I used good old regular expressions to extract the information: In 1% the column positions differed a little, which resulted in wrong cutoffs.

#How to read rjava in r pdf

👉🏼 Update: After reading in about 800 PDF files, this approach worked in 99% of the cases. Harry Potter 7: The Deathly Hallows - Part 2 (3D) Select ( -X ) %>% # remove white spaces around valuesĪfter removing the top and bottom of the document we finally have what we want: region Total = str_sub (X, 93 ) ) %>% # remove original string Str_split ( ' ' ) %>% # convert to tibble and assign unique column namesĪs_tibble (.name_repair = make.names ) %>% # extract the data of each column by position Result % # split filecontent by newline character at the 55th character in each line) we can now split each line with these fixed positions and extract the numbers. Now that looks like tabular data to me! Sure, it’s only texts separated by white spaces but what if we split every line like this?īy identifying the position of the numbers (e.g.

#How to read rjava in r movie

Sure, we could identify movie titles by x and y position, but that seems ridiculously complicated to do. When we run pdf_data we get this table a result: width The package pdftools offers two similar functions to extract data from PDFs: pdf_data and pdf_text. For some files, it works pretty well, for others not at all. 😩 I start to lose patience with this package. But then I tried to extract_text from the first file, I was quite surprised: The ranks, which were at the very left, suddenly get appended to another row: Not bad, with regular expressions we could extract the numbers we need. After installing the packages shiny and miniUI we can run the following command:Įxtract_text ( 'input/pdf/top10adm-02_12.pdf' )

What’s pretty cool: In Tabula we can set the different positions of tables in a document by hand – with tabulizer we can do the same thing. Open again, maybe restart R and try again. The command should return some information about your java version like java version '11.0.3' LTS etc.Īfter installing, run sudo R CMD javareconf in the terminal and restart RStudio. After changing the file, run source ~./zshrc or source ~/.bash_profile to apply the changes or restart your Terminal.Ĭheck if that worked by running $JAVA_HOME/bin/java -version. ~/.zshrc or ~/.bash_profile depending on the Terminal you use) and append the following line (your version number of jdk might be different, depending on which version you installed):Įxport JAVA_HOME=/Library/Java/JavaVirtualMachines/jdk-11.0.3.jdk/Contents/Home. If it doesn’t, open your profile file (e.g. It should return the location of your Home (in my case that’s /Library/Java/JavaVirtualMachines/jdk-11.0.3.jdk/Contents/Home) Use stable Java 11 (or watch for 12u if available).Īlso, check if your JAVA_HOME is set correctly by typing echo $JAVA_HOME in your Terminal. I installed that one first and ran into the error WARNING: Initial Java 12 release has broken JNI support and does NOT work. As of May 2019, I needed Version 11, not the latest one which would have been 12. If it is not installed, get the Java Development Kit from Oracle here. I checked if I have Java installed on my computer by typing java -version into my terminal. When I tried to load tabulizer, I got the following error: rJava.so Reason: image not found).

#How to read rjava in r mac

I am using Mac OS, so I’ll guide you through the steps you need to take on this platform: Unfortunately to run tabulizer we first need to get rJava running.

Otherwise, you might as well skip to the next chapter. If you still want to see it in action, read along. ⚠️ tl dr: I do not recommend using tabulizer for most use cases. The docs look very straight forward – I was sure I’d be up and running within minutes, or so I thought…

#How to read rjava in r code

You can find an example PDF here or in the public Github repo, where also the final code lies. I was delighted to find out, that there is a package that lets me automate this process with R.Īs a use case, we are going to read in some data about movie admissions in Switzerland. So far, I have only extracted data from tables using Tabula.