R code to copy select 10-X report files to your main Google Drive folder for text / sentiment analysis.
Suggested citation DOI: https://zenodo.org/badge/103856848.svg Creative Commons License CC-BY-4.0
Recommendations for improvement can be directed to: Sandra.Rolnicki@northwestern.edu
10X_Code_To_Share_v1.R --> Contains R code and references relevant R packages (googledrive and rlist)
PathExampleFile.txt --> Used to generate a list of file directory paths where the 10-X reports are stored. This sample file has each quarter as a subfolder of each year, as this is how they will unzip from McDonald's files (see note below on the original source of the 10-X report files)
CIK_List_Sample.txt --> Used to generate a list of "10-X" reports to pull by specifying the "pattern" that will be used by R to identify the files
Zipped 10-X reports that have undergone "Stage One Parse" have been made available by the University of Notre Dame on their Software Repository for Accounting and Finance http://sraf.nd.edu/data/stage-one-10-x-parse-data/
The web page at the link above includes a link to a Google Drive that holds all of the 10-X reports zipped by year and by quarter Thanks to Professor Bill McDonald and his team for sharing these files!
Props to the creators of "googledrive" package for R! This would not have been possible without their elegant solution! https://cran.r-project.org/package=googledrive http://googledrive.tidyverse.org
The "rlist" package was also quite helpful! https://cran.r-project.org/package=rlist https://renkun.me/rlist/
Note: In order to extract files from McDonald's zip files (and execute the steps detailed in the R code), you need to download the files to your computer (or server) and extract the files there.
There is a 3rd party app to unzip files in Google Drive. If this is used, the code can be modified to call your Google Drive folder rather than a local directory. https://productforums.google.com/forum/#!topic/drive/s23OpZOTsq0