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Analysis of District courts in India

Name: Meghana Tedla

Roll No: 2021102002

|_Meghanatedla
    |_ Codes
        |_acts-sections-merged.ipynb
        |_disp-trend.ipynb
        |_judges.ipynb
        |_last-5yrs-cases-merged.ipynb
        |_states-and-courts.ipynb
        |_years-and-state-wise.ipynb
    

    |_Results
        |_Analysis_1
            |_num_cases_year_state_wise.jpg
            |_num_cases_year_wise.jpg
            |_states_and_courts.jpg

        |_Analysis_2
            |_avg_time_taken_to_solve_a_case.jpg
            |_trend_of_disposition_for_2014.jpg
            |_trend_of_disposition_for_2015.jpg
            |_trend_of_disposition_for_2016.jpg
            |_trend_of_disposition_for_2017.jpg
            |_trend_of_disposition_for_2018.jpg
            |_trend_of_top_5_disp.jpg

        |_Analysis_3
            |_Active female judges.jpg
            |_Active male judges.jpg
            |_Inactive female judges.jpg
            |_Inactive male judges.jpg
            |_avg_years_exp_state_wise.jpg

        
    |_ Report.pdf
    |_ README.md
    

There are 6 notebooks.
Run them in the following order.

last-5yrs-cases-merged.ipynb

- Merges the cases data from 2014 to 2018.
- Converts the data frame into a .csv file which will be imported into other notebooks.

years-and-state-wise.ipynb

- Reads 'cases_last_5yrs.csv' into a dataFrame that was created in another notebook.
- Creates a data frame which has shows the number cases filed per year from 2014 to 2018.
- Creates a data frame that shows the number od cases filed year wise and state wise.
- Plots a line graph for each state over the years of 2014 to 2018.

disp-trend.ipynb

- Reads 'cases_last_5yrs.csv' into a dataFrame that was created in another notebook.
- Merges the cases data and the disposition keys.
- Creates a data frame that has the number of cases for each disposition year wise in decsending order.
- Creates a data frame and plots a bar graph that gives the number of cases filed for 5 common dispositions.
- Creates a data frame and plots a line graph for the trend of average time taken to solve a case of a disposition.

judges.ipynb

- Merges the data of judges and courts to form a bigger data set
- Tabulates the number of male and female judges state wise.
- Tabulates the number of male and female judges district wise.
- Tabulates the number of male and female judges court wise.
- Creates a table based on gender of judges.
- Tabulates and creates a pie chart showing the percentage of working and retired, male and female judges.

states-and-courts.ipynb

- Tabulates the number of courts and percentage per state.
- This data is presented by a pie chart.

acts-sections-merged.ipynb

- Merges the data about cases and the acts and sections.

About

Exploratory analysis of a database comprising approximately 80 million Indian district court records.

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