iven two JSON files ([login to view URL], [login to view URL]), write a small analytics program to perform the following:
1. No of URLH which are overlapping.
2. For all the URLH which are overlapping, calculate the price difference (wrt available_price) if there is any between yesterday's and today's crawls. There might be duplicate URLHs in which case you can choose the first valid (with http_status 200) record.
3. No of Unique categories in both files.
4. List of categories which is not overlapping.
5. Generate the stats with count for all taxonomies (taxonomy is concatenation of category and subcategory separated by " > ").
Eg:
Cat1 > Subcat1: 3500
Cat1 > Subcat2: 2000
Cat2 > Subcat3: 8900
6. Generate a new file where mrp is normalized. If there is a 0 or a non-float value or the key doesn't exist, make it "NA".
Hi there
Thank You for reviewing my job proposal.
As per your job description I am glad to let you know that I can create a python script to process json file.
I have more than 3 years of experience in python programming so I am interested in submitting my job proposal.
I understood your requirements so If you are available to initiate chat then I am ready to start your work asap.
Thank You
Skilled in Python. Worked on Big data before, can write a script to do all those things from the file. If task is simple, will complete it in 2 days max.
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