Process data

[wagenrace]

• Downloads the zip from url.
• Stores the zip on host computer
• Loads csv training and csv validation straight from the zip

Add dependencies:

• Pandas

Issue #4
I performed the following prior to filing this pull request:

• Tested that my change does not break the analysis pipeline
• Ran a linter through my code
• Update environment dependencies if my code introduces a new package

[gwaybio]

Thanks for the PR @wagenrace - a couple of important comments below:

1. This code is used to download the data on figshare, not process the data to upload to figshare. In Adding Data Preparation Code #4, I am specifically interested in adding the code that @fheigwer used to process the data that was presumably downloaded from IDR (DOI: http://doi.org/10.17867/10000101). I think changing the naming conventions would make this much clearer. Perhaps instead of 0.process-data it should be 0.process-idr-images. To merge this PR, please change the module to 1.download-data.
2. I am thinking that the function downloadData() in main.py will never be used outside the 1.download-data module - lets put this file in a folder called 1.download-data/scripts
3. I was probably not being 100% clear, but in an analysis module repository style, each folder stands alone. Therefore, there should not be any need to import functions across folders and the current file 0process-data/__init__.py is not necessary.
4. The current file 0process-data/main.py is the code used to download the data. So anytime someone wanted access to the csv files, they would have to re-download. This module should be run only once by an external user. For example, the user will run some command that calls main.py and the data will be placed in appropriate folders (see Adding Data Download Code #5)
5. Please add execution instructions. This could be in the form of a jupyter notebook that, when run, will download.

[wagenrace]

4. The current file `0process-data/main.py` is the code used to download the data. So anytime someone wanted access to the csv files, they would have to re-download. This module should be run only once by an external user. For example, the user will run some command that calls `main.py` and the data will be placed in appropriate folders (see #5)

about point 4. Why is unzipping needed? The zipped files can be loaded directly into python and be unzipped over there the same way it is done with mnist dataset
It will not re-download. There are checks to prevent that from happening

[gwaybio]

Thanks for the work @wagenrace - we are nearly there

[gwaybio]

Thanks for the important PR @wagenrace - I will go ahead and merge so we can continue with the project 👍