Question: PYTHON CODE ONLY PLEASE. Comments would help too. https://www.cse.msu.edu/~cse231/Online/Projects/Project05/ Text files are in the above link CSE 231 Summer 2017 Computer Project #05 Assignment overview

 PYTHON CODE ONLY PLEASE. Comments would help too. https://www.cse.msu.edu/~cse231/Online/Projects/Project05/ Text filesare in the above link CSE 231 Summer 2017 Computer Project #05Assignment overview This assignment focuses on the implementation of Python programs togain more practice with functions, files, exception handling, and most importantly, dictionaries.It is worth 90 points (9% of course grade) and must be

PYTHON CODE ONLY PLEASE. Comments would help too.

https://www.cse.msu.edu/~cse231/Online/Projects/Project05/

Text files are in the above link

CSE 231 Summer 2017 Computer Project #05 Assignment overview This assignment focuses on the implementation of Python programs to gain more practice with functions, files, exception handling, and most importantly, dictionaries. It is worth 90 points (9% of course grade) and must be completed no later than 11:59 PM on Monday June 19. Assignment Deliverable The deliverable for this assignment is the following file proj 05.py the source code for your Python program Be sure to use the specified file name and to submit it for grading via the Mirmir system before the project deadline. Assignment Background This exercise is (again) about data manipulation. In this project we will process agricultural data, namely the adoption of different Genetically Modified (GM) crops in the US. ttp://www. The data was collected over the years 2000-2016 The issue of GM food adoption has been a topic of controversy in recent years. In this project we are interested in how the adoption of different GM food and non-food crops has been proceeding in different states. We are going to determine the minimum and maximum adoption by state and the years when the minimum and maximum occurred. Assignment Specifications The data files The data files that you use are yearly state-wise percentage plantings for each type of crop: alltablesGE crops.csv: the actual data from the USDA. csv: data modified to test this project data1 data2. csv: data modificd to test this project, but you do not get to sce it Input: This is real data so it is messy and you have to deal with that. Here are the constraints

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