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Write a new program that loads data, performs a transformation on it, and writes out a new file with that new
structure. This doesn’t need to be a long or hugely complex program, but should be substantive. Remember
that complexity is not directly associated with length. This is where usually email discussions to touch base
come in if you aren’t sure if you are doing enough or going too far.
Look online for some data that looks interesting to you. Load it into python and determine how you might want
to transform it. For example, a csv to a json, json to csv, extract data from a text file and create a csv, etc.
Again, email/class discussions are often necessary here and perfectly fine.
You should either:
transform the structure (e.g. table to tree or tree to table) OR
do a complex amount of recalculation or other content transformation if keeping it in the same structure.
This program will likely be around 50-150 lines of code, but we are looking at substance, not length. Submitting
50 lines of code does not guarantee satisfactory work.
As you write your program, keep a notes file where you are talking about your progress and document the
information resources you used.
Once you complete your code, use your narrative file to help build a visual diagram of how the information
resources you used influenced your final code. You can use any format that works well for you. E.g. annotate a
pdf of the code, add comments in a google doc on portions of the code, do some powerpoint graphic design,
etc. All are fine.
Your code should have (at least) three sections:
loading the data,
transforming it in some way,
and writing the new version out.
Be sure that the new version has a different file name. You can still print values out along the way, but the final
version should write out a new file.
The reflection posts you make throughout the semester are meant to give you the space to explore these areas
and get ready for this project