This project is portrayal of applied statistical techniques with python and a great deal of time series analysis.
File description
1.CMO_MSP_Mandi.csv - Raw file for mandi data.
2.Deseasonalized_price.csv - File which contains deseasonalized price for each apmc-crop cluster where we had data for 12 months.
3.Detect Seasonality type and deseasonalize prices.ipynb - Notebook for the solution of Objective 2
4.Filter Outliers.ipynb - Notebook for solution of Objective 1.
5.Final Submission Report.txt - The final report i would like to submit to Maharashtra Government.
6.Flagset Highest Fluctuatinos.ipynb - Notebook for solution of Objective 4
7.Methodology.txt - The description of approach and methods i used for the solution.
8.Monthly_data_cmo.csv - raw file obtained for APMC monthly data
9.Price Comparison.ipynb - Notebook for solution of Objective 3
10.Readme.md - this file
11.Seasonality_type.csv - The file which contains the information of Seasonality type(additive or multiplicative)
12.cleaned_monthly_data.csv - The file with all the datapoints of apmc-crop clusters for which we had data of all 12 months
13.filtered_monthly_data.csv - Monthly data with outliers filtered.
14.filtered_cmo_mandi.csv - same as CMO_MSP_Mandi as we dont had any outliers here.
15.comparisons - svg files of plots of price comparisons of apmc-crop clusters.