I had a similar issue, and solved it using ImageMagics convert tool (http://www.imagemagick.org/script/index.php). That comes with linux and runs fine on Windows/Cygwin or OS X convert -density 300 largeVectorFileFromR.pdf out.pdf With -density 300 you control resolution (as DPI). Downside: Text is rasterized as well, I understand that Michael does not want this.
If you’re on Linux, try pdftohtml: sudo apt-get install poppler-utils pdftohtml -enc UTF-8 -noframes infile.pdf outfile.html On MacOS (with homebrew) pdftohtml can be installed with: brew install pdftohtml The open source ebook converter Calibre can also convert PDF files to HTML and is available on MacOS, Windows and Linux.
Use p2j to convert Python source code to Jupyter Notebook. From the command line, run –>pip install p2j then go to the directory where your file is located. –>( for example-> cd downloads, if the file is in download directory) then run –>p2j myscript.py This will create a myscript.ipynb file.
The frankly-incredible data-analysis library for Python called Pandas has a function to read Stata files. After installing Pandas you can just do: >>> import pandas as pd >>> data = pd.io.stata.read_stata(‘my_stata_file.dta’) >>> data.to_csv(‘my_stata_file.csv’) Amazing!
Assuming you really mean easiest and are not necessarily looking for a way to do this programmatically, you can do this: Add, if not already there, a row of “column Musicians” to the spreadsheet. That is, if you have data in columns such as: Rory Gallagher Guitar Gerry McAvoy Bass Rod de’Ath Drums Lou Martin … Read more