Baselight

Crime Case Files 🔫⚔️

India, like any other country, deals with various types of crimes

@kaggle.bhanupratapbiswas_crime_case_files

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About this Dataset

Crime Case Files 🔫⚔️

India, like any other country, deals with various types of crimes, including but not limited to theft, assault, robbery, cybercrime, and more. Crime rates and types of crimes can vary significantly across different regions and cities in India.

If you are looking for information on recent crime cases in India, I recommend checking with reliable news sources or the official website of the Indian government's law enforcement agencies for the most up-to-date information.

Keep in mind that it's essential to respect the privacy and sensitivity of ongoing investigations and victims involved in crime cases. Always rely on verified sources for accurate and responsible information.

Tables

N 07–02 Persons Arrested By Sex And Age Group Sll 2014

@kaggle.bhanupratapbiswas_crime_case_files.n_07_02_persons_arrested_by_sex_and_age_group_sll_2014
  • 56.3 KB
  • 2730 rows
  • 18 columns
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CREATE TABLE n_07_02_persons_arrested_by_sex_and_age_group_sll_2014 (
  "states_uts" VARCHAR,
  "crime_head" VARCHAR,
  "year" BIGINT,
  "n_18_and_above_and_below_30_years_male" BIGINT,
  "n_18_and_above_and_below_30_years_female" BIGINT,
  "n_18_and_above_and_below_30_years_total" BIGINT,
  "n_30_and_above_and_below_45_years_male" BIGINT,
  "n_30_and_above_and_below_45_years_female" BIGINT,
  "n_30_and_above_and_below_45_years_total" BIGINT,
  "n_45_and_above_and_below_60_years_male" BIGINT,
  "n_45_and_above_and_below_60_years_female" BIGINT,
  "n_45_and_above_and_below_60_years_total" BIGINT,
  "n_60_years_and_above_male" BIGINT,
  "n_60_years_and_above_female" BIGINT,
  "n_60_years_and_above_total" BIGINT,
  "total_male" BIGINT,
  "total_female" BIGINT,
  "total_persons_arrested_by_age_and_sex" BIGINT
);

N 08–01 Juvenile Apprehended State Ipc

@kaggle.bhanupratapbiswas_crime_case_files.n_08_01_juvenile_apprehended_state_ipc
  • 69.99 KB
  • 10500 rows
  • 12 columns
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CREATE TABLE n_08_01_juvenile_apprehended_state_ipc (
  "state_ut" VARCHAR,
  "year" BIGINT,
  "crime" VARCHAR,
  "boys_7_12_years" BIGINT,
  "girls_7_12_years" BIGINT,
  "boys_12_16_years" BIGINT,
  "girls_12_16_years" BIGINT,
  "boys_16_18_years" BIGINT,
  "girls_16_18_years" BIGINT,
  "total_for_boys_all_age_groups" BIGINT,
  "total_for_girls_all_age_groups" BIGINT,
  "grand_total" BIGINT
);

N 08–02 Juvenile Apprehended State Sll

@kaggle.bhanupratapbiswas_crime_case_files.n_08_02_juvenile_apprehended_state_sll
  • 32.94 KB
  • 9450 rows
  • 12 columns
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CREATE TABLE n_08_02_juvenile_apprehended_state_sll (
  "state_ut" VARCHAR,
  "year" BIGINT,
  "crime" VARCHAR,
  "boys_7_12_years" BIGINT,
  "girls_7_12_years" BIGINT,
  "boys_12_16_years" BIGINT,
  "girls_12_16_years" BIGINT,
  "boys_16_18_years" BIGINT,
  "girls_16_18_years" BIGINT,
  "total_for_boys_all_age_groups" BIGINT,
  "total_for_girls_all_age_groups" BIGINT,
  "grand_total" BIGINT
);

N 09 Juveniles Arrested And Their Disposal

@kaggle.bhanupratapbiswas_crime_case_files.n_09_juveniles_arrested_and_their_disposal
  • 17.73 KB
  • 349 rows
  • 10 columns
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CREATE TABLE n_09_juveniles_arrested_and_their_disposal (
  "area_name" VARCHAR,
  "year" BIGINT,
  "juveniles_acquitted_or_otherwise_disposed_of" BIGINT,
  "juveniles_arrested" BIGINT,
  "juveniles_dealt_with_fine" BIGINT,
  "juveniles_released_on_probation_and_placed_under_the_c_3c4d70f1" BIGINT,
  "juveniles_released_on_probation_and_placed_under_the_c_ee64b8c3" BIGINT,
  "juveniles_sent_home_after_advice_or_admonition" BIGINT,
  "juveniles_sent_to_special_home" BIGINT,
  "juveniles_whose_cases_pending_disposal" BIGINT
);

N 10 Property Stolen And Recovered

@kaggle.bhanupratapbiswas_crime_case_files.n_10_property_stolen_and_recovered
  • 56.82 KB
  • 2449 rows
  • 8 columns
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CREATE TABLE n_10_property_stolen_and_recovered (
  "area_name" VARCHAR,
  "year" BIGINT,
  "group_name" VARCHAR,
  "sub_group_name" VARCHAR,
  "cases_property_recovered" BIGINT,
  "cases_property_stolen" BIGINT,
  "value_of_property_recovered" BIGINT,
  "value_of_property_stolen" BIGINT
);

N 11 Property Stolen And Recovered Nature Of Property

@kaggle.bhanupratapbiswas_crime_case_files.n_11_property_stolen_and_recovered_nature_of_property
  • 77.74 KB
  • 4550 rows
  • 8 columns
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CREATE TABLE n_11_property_stolen_and_recovered_nature_of_property (
  "area_name" VARCHAR,
  "year" BIGINT,
  "group_name" VARCHAR,
  "sub_group_name" VARCHAR,
  "cases_property_recovered" BIGINT,
  "cases_property_stolen" BIGINT,
  "value_of_property_recovered" BIGINT,
  "value_of_property_stolen" BIGINT
);

N 12 Police Strength Actual And Sanctioned

@kaggle.bhanupratapbiswas_crime_case_files.n_12_police_strength_actual_and_sanctioned
  • 99.1 KB
  • 4188 rows
  • 16 columns
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CREATE TABLE n_12_police_strength_actual_and_sanctioned (
  "area_name" VARCHAR,
  "year" BIGINT,
  "group_name" VARCHAR,
  "sub_group_name" VARCHAR,
  "rank_all_ranks_total" BIGINT,
  "rank_asi_equivalent" BIGINT,
  "rank_aspdyspassttcommandant" BIGINT,
  "rank_below_hc_and_above_constables" BIGINT,
  "rank_constables" BIGINT,
  "rank_dgaddl_dg" BIGINT,
  "rank_dig" BIGINT,
  "rank_head_constables" BIGINT,
  "rank_igsplig" BIGINT,
  "rank_inspectors_equivalent" BIGINT,
  "rank_si_equivalent" BIGINT,
  "rank_sspspaddlspcommandant" BIGINT
);

N 13 Police Killed Or Injured On Duty

@kaggle.bhanupratapbiswas_crime_case_files.n_13_police_killed_or_injured_on_duty
  • 36.58 KB
  • 2450 rows
  • 18 columns
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CREATE TABLE n_13_police_killed_or_injured_on_duty (
  "area_name" VARCHAR,
  "year" BIGINT,
  "group_name" VARCHAR,
  "sub_group_name" VARCHAR,
  "police_injured_by_criminals" BIGINT,
  "police_injured_by_riotous_mobs" BIGINT,
  "police_injured_in_accidents" BIGINT,
  "police_injured_in_dacoity_operationsother_raids" BIGINT,
  "police_injured_in_terroristsextremists_operations" BIGINT,
  "police_injured_on_border_duties" BIGINT,
  "police_injured_total_policemen" BIGINT,
  "police_killed_by_criminals" BIGINT,
  "police_killed_by_riotous_mobs" BIGINT,
  "police_killed_in_accidents" BIGINT,
  "police_killed_in_dacoity_operationsother_raids" BIGINT,
  "police_killed_in_terroristsextremists_operations" BIGINT,
  "police_killed_on_border_duties" BIGINT,
  "police_killed_total_policemen" BIGINT
);

N 14 Age Profile Of Police Personnel Killed On Duty

@kaggle.bhanupratapbiswas_crime_case_files.n_14_age_profile_of_police_personnel_killed_on_duty
  • 9.26 KB
  • 350 rows
  • 8 columns
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CREATE TABLE n_14_age_profile_of_police_personnel_killed_on_duty (
  "area_name" VARCHAR,
  "year" BIGINT,
  "age_18_25_yrs" BIGINT,
  "age_25_35_yrs" BIGINT,
  "age_35_45_yrs" BIGINT,
  "age_45_55_yrs" BIGINT,
  "age_above_55_yrs" BIGINT,
  "age_total" BIGINT
);

N 15 Police Natural Death And Suicide

@kaggle.bhanupratapbiswas_crime_case_files.n_15_police_natural_death_and_suicide
  • 12.57 KB
  • 700 rows
  • 9 columns
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CREATE TABLE n_15_police_natural_death_and_suicide (
  "area_name" VARCHAR,
  "year" BIGINT,
  "group_name" VARCHAR,
  "age_18_25_yrs" BIGINT,
  "age_25_35_yrs" BIGINT,
  "age_35_45_yrs" BIGINT,
  "age_45_55_yrs" BIGINT,
  "age_above_55_yrs" BIGINT,
  "age_total" BIGINT
);

N 16 Casualties Under Police Firing And Lathi Charge

@kaggle.bhanupratapbiswas_crime_case_files.n_16_casualties_under_police_firing_and_lathi_charge
  • 14.74 KB
  • 1749 rows
  • 8 columns
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CREATE TABLE n_16_casualties_under_police_firing_and_lathi_charge (
  "area_name" VARCHAR,
  "year" BIGINT,
  "group_name" VARCHAR,
  "civilians_injured" BIGINT,
  "civilians_killed" BIGINT,
  "no_of_firings" BIGINT,
  "policemen_injured" BIGINT,
  "policemen_killed" BIGINT
);

N 17 Case Reported And Value Of Property Taken Away By 2c1593e4

@kaggle.bhanupratapbiswas_crime_case_files.n_17_case_reported_and_value_of_property_taken_away_by_2c1593e4
  • 22.12 KB
  • 385 rows
  • 11 columns
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CREATE TABLE n_17_case_reported_and_value_of_property_taken_away_by_2c1593e4 (
  "state_ut" VARCHAR,
  "year" BIGINT,
  "place_of_occurrence" VARCHAR,
  "dacoity_section_395_398_ipc_number_of_cases_registered" BIGINT,
  "dacoity_section_395_398_ipc_value_of_property_stolen_in_rupees" BIGINT,
  "robbery_section_392_394_397_398_ipc_number_of_cases_registered" BIGINT,
  "robbery_section_392_394_397_398_ipc_value_of_property__c9c55ffc" BIGINT,
  "burglary_section_449_452_454_455_457_460_ipc_number_of_3c6dddb5" BIGINT,
  "burglary_section_449_452_454_455_457_460_ipc_value_of__5a2d9c23" BIGINT,
  "theft_section_379_382_ipc_number_of_cases_registered" BIGINT,
  "theft_section_379_382_ipc_value_of_property_stolen_in_rupees" BIGINT
);

N 17 Case Reported And Value Of Property Taken Away By A93c57ca

@kaggle.bhanupratapbiswas_crime_case_files.n_17_case_reported_and_value_of_property_taken_away_by_a93c57ca
  • 117.67 KB
  • 4344 rows
  • 11 columns
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CREATE TABLE n_17_case_reported_and_value_of_property_taken_away_by_a93c57ca (
  "state_ut" VARCHAR,
  "year" BIGINT,
  "place_of_occurrence" VARCHAR,
  "dacoity_section_395_398_ipc_number_of_cases_registered" BIGINT,
  "dacoity_section_395_398_ipc_value_of_property_stolen_in_rupees" BIGINT,
  "robbery_section_392_394_397_398_ipc_number_of_cases_registered" BIGINT,
  "robbery_section_392_394_397_398_ipc_value_of_property__c9c55ffc" BIGINT,
  "burglary_section_449_452_454_455_457_460_ipc_number_of_3c6dddb5" BIGINT,
  "burglary_section_449_452_454_455_457_460_ipc_value_of__5a2d9c23" BIGINT,
  "theft_section_379_382_ipc_number_of_cases_registered" BIGINT,
  "theft_section_379_382_ipc_value_of_property_stolen_in_rupees" BIGINT
);

N 17 Crime By Place Of Occurrence 2001–2012

@kaggle.bhanupratapbiswas_crime_case_files.n_17_crime_by_place_of_occurrence_2001_2012
  • 63.82 KB
  • 456 rows
  • 34 columns
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CREATE TABLE n_17_crime_by_place_of_occurrence_2001_2012 (
  "state_ut" VARCHAR,
  "year" BIGINT,
  "residential_premises_dacoity" BIGINT,
  "residential_premises_robbery" BIGINT,
  "residential_premises_burglary" BIGINT,
  "residential_premises_theft" BIGINT,
  "highways_dacoity" BIGINT,
  "highways_robbery" BIGINT,
  "highways_burglary" BIGINT,
  "highways_theft" BIGINT,
  "river_and_sea_dacoity" BIGINT,
  "river_and_sea_robbery" BIGINT,
  "river_and_sea_burglary" BIGINT,
  "river_and_sea_theft" BIGINT,
  "railways_dacoity" BIGINT,
  "railways_robbery" BIGINT,
  "railways_burglary" BIGINT,
  "railways_theft" BIGINT,
  "banks_dacoity" BIGINT,
  "banks_robbery" BIGINT,
  "banks_burglary" BIGINT,
  "banks_theft" BIGINT,
  "commercial_establishments_dacoity" BIGINT,
  "commercial_establishments_robbery" BIGINT,
  "commercial_establishments_burglary" BIGINT,
  "commercial_establishments_theft" BIGINT,
  "other_places_dacoity" BIGINT,
  "other_places_robbery" BIGINT,
  "other_places_burglary" BIGINT,
  "other_places_theft" BIGINT,
  "total_dacoity" BIGINT,
  "total_robbery" BIGINT,
  "total_burglary" BIGINT,
  "total_theft" BIGINT
);

N 17 Crime By Place Of Occurrence 2013

@kaggle.bhanupratapbiswas_crime_case_files.n_17_crime_by_place_of_occurrence_2013
  • 30.2 KB
  • 38 rows
  • 34 columns
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CREATE TABLE n_17_crime_by_place_of_occurrence_2013 (
  "state_ut" VARCHAR,
  "year" BIGINT,
  "residential_premises_dacoity" BIGINT,
  "residential_premises_robbery" BIGINT,
  "residential_premises_burglary" BIGINT,
  "residential_premises_theft" BIGINT,
  "highways_dacoity" BIGINT,
  "highways_robbery" BIGINT,
  "highways_burglary" BIGINT,
  "highways_theft" BIGINT,
  "river_and_sea_dacoity" BIGINT,
  "river_and_sea_robbery" BIGINT,
  "river_and_sea_burglary" BIGINT,
  "river_and_sea_theft" BIGINT,
  "railways_dacoity" BIGINT,
  "railways_robbery" BIGINT,
  "railways_burglary" BIGINT,
  "railways_theft" BIGINT,
  "banks_dacoity" BIGINT,
  "banks_robbery" BIGINT,
  "banks_burglary" BIGINT,
  "banks_theft" BIGINT,
  "commercial_establishments_dacoity" BIGINT,
  "commercial_establishments_robbery" BIGINT,
  "commercial_establishments_burglary" BIGINT,
  "commercial_establishments_theft" BIGINT,
  "other_places_dacoity" BIGINT,
  "other_places_robbery" BIGINT,
  "other_places_burglary" BIGINT,
  "other_places_theft" BIGINT,
  "total_dacoity" BIGINT,
  "total_robbery" BIGINT,
  "total_burglary" BIGINT,
  "total_theft" BIGINT
);

N 17 Crime By Place Of Occurrence 2014

@kaggle.bhanupratapbiswas_crime_case_files.n_17_crime_by_place_of_occurrence_2014
  • 85.38 KB
  • 39 rows
  • 82 columns
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CREATE TABLE n_17_crime_by_place_of_occurrence_2014 (
  "states_uts" VARCHAR,
  "year" BIGINT,
  "residence_dacoity_cases_reported" BIGINT,
  "residence_dacoity_value_of_property_stolen" BIGINT,
  "residence_robbery_cases_reported" BIGINT,
  "residence_robbery_value_of_property_stolen" BIGINT,
  "residence_burglary_cases_reported" BIGINT,
  "residence_burglary_value_of_property_stolen" BIGINT,
  "residence_theft_cases_reported" BIGINT,
  "residence_theft_value_of_property_stolen" BIGINT,
  "highways_dacoity_cases_reported" BIGINT,
  "highways_dacoity_value_of_property_stolen" BIGINT,
  "highways_robbery_cases_reported" BIGINT,
  "highways_robbery_value_of_property_stolen" BIGINT,
  "highways_burglary_cases_reported" BIGINT,
  "highways_burglary_value_of_property_stolen" BIGINT,
  "highways_theft_cases_reported" BIGINT,
  "highways_theft_value_of_property_stolen" BIGINT,
  "riverorsea_dacoity_cases_reported" BIGINT,
  "riverorsea_dacoity_value_of_property_stolen" BIGINT,
  "riverorsea_robbery_cases_reported" BIGINT,
  "riverorsea_robbery_value_of_property_stolen" BIGINT,
  "riverorsea_burglary_cases_reported" BIGINT,
  "riverorsea_burglary_value_of_property_stolen" BIGINT,
  "riverorsea_theft_cases_reported" BIGINT,
  "riverorsea_theft_value_of_property_stolen" BIGINT,
  "railways_dacoity_cases_reported" BIGINT,
  "railways_dacoity_value_of_property_stolen" BIGINT,
  "railways_robbery_cases_reported" BIGINT,
  "railways_robbery_value_of_property_stolen" BIGINT,
  "railways_burglary_cases_reported" BIGINT,
  "railways_burglary_value_of_property_stolen" BIGINT,
  "railways_theft_cases_reported" BIGINT,
  "railways_theft_value_of_property_stolen" BIGINT,
  "religious_places_dacoity_cases_reported" BIGINT,
  "religious_places_dacoity_value_of_property_stolen" BIGINT,
  "religious_places_robbery_cases_reported" BIGINT,
  "religious_places_robbery_value_of_property_stolen" BIGINT,
  "religious_places_burglary_cases_reported" BIGINT,
  "religious_places_burglary_value_of_property_stolen" DOUBLE,
  "religious_places_theft_cases_reported" BIGINT,
  "religious_places_theft_value_of_property_stolen" BIGINT,
  "atm_dacoity_cases_reported" BIGINT,
  "atm_dacoity_value_of_property_stolen" BIGINT,
  "atm_robbery_cases_reported" BIGINT,
  "atm_robbery_value_of_property_stolen" BIGINT,
  "atm_burglary_cases_reported" BIGINT,
  "atm_burglary_value_of_property_stolen" BIGINT,
  "atm_theft_cases_reported" BIGINT,
  "atm_theft_value_of_property_stolen" BIGINT,
  "bank_dacoity_cases_reported" BIGINT,
  "bank_dacoity_value_of_property_stolen" BIGINT,
  "bank_robbery_cases_reported" BIGINT,
  "bank_robbery_value_of_property_stolen" BIGINT,
  "bank_burglary_cases_reported" BIGINT,
  "bank_burglary_value_of_property_stolen" BIGINT,
  "bank_theft_cases_reported" BIGINT,
  "bank_theft_value_of_property_stolen" BIGINT,
  "commest_dacoity_cases_reported" BIGINT,
  "commest_dacoity_value_of_property_stolen" BIGINT,
  "commest_robbery_cases_reported" BIGINT,
  "commest_robbery_value_of_property_stolen" BIGINT,
  "commest_burglary_cases_reported" BIGINT,
  "commest_burglary_value_of_property_stolen" BIGINT,
  "commest_theft_cases_reported" BIGINT,
  "commest_theft_value_of_property_stolen" BIGINT,
  "otherplaces_dacoity_cases_reported" BIGINT,
  "otherplaces_dacoity_value_of_property_stolen" BIGINT,
  "otherplaces_robbery_cases_reported" BIGINT,
  "otherplaces_robbery_value_of_property_stolen" BIGINT,
  "otherplaces_burglary_cases_reported" BIGINT,
  "otherplaces_burglary_value_of_property_stolen" BIGINT,
  "otherplaces_theft_cases_reported" BIGINT,
  "otherplaces_theft_value_of_property_stolen" BIGINT,
  "total_dacoity_cases_reported" BIGINT,
  "total_dacoity_value_of_property_stolen" BIGINT,
  "total_robbery_cases_reported" BIGINT,
  "total_robbery_value_of_property_stolen" BIGINT,
  "total_burglary_cases_reported" BIGINT,
  "total_burglary_value_of_property_stolen" DOUBLE,
  "total_theft_cases_reported" BIGINT,
  "total_theft_value_of_property_stolen" BIGINT
);

N 18–01 Juveniles Arrested Education

@kaggle.bhanupratapbiswas_crime_case_files.n_18_01_juveniles_arrested_education
  • 13.28 KB
  • 350 rows
  • 8 columns
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CREATE TABLE n_18_01_juveniles_arrested_education (
  "area_name" VARCHAR,
  "year" BIGINT,
  "sub_group_name" VARCHAR,
  "education_above_primary_but_below_matric_or_higher_secondary" BIGINT,
  "education_illiterate" BIGINT,
  "education_matric_or_higher_secondary_above" BIGINT,
  "education_total" BIGINT,
  "education_upto_primary" BIGINT
);

N 18–02 Juveniles Arrested Economic Setup

@kaggle.bhanupratapbiswas_crime_case_files.n_18_02_juveniles_arrested_economic_setup
  • 16.03 KB
  • 350 rows
  • 10 columns
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CREATE TABLE n_18_02_juveniles_arrested_economic_setup (
  "area_name" VARCHAR,
  "year" BIGINT,
  "sub_group_name" VARCHAR,
  "economic_set_up_annual_income_250001_to_50000" BIGINT,
  "economic_set_up_annual_income_upto_rs_25000" BIGINT,
  "economic_set_up_middle_income_from_100001_to_200000" BIGINT,
  "economic_set_up_middle_income_from_50001_to_100000" BIGINT,
  "economic_set_up_total" BIGINT,
  "economic_set_up_upper_income_above_rs_300000" BIGINT,
  "economic_set_up_upper_middle_income_from_200001_to_300000" BIGINT
);

N 18–03 Juveniles Arrested Family Background

@kaggle.bhanupratapbiswas_crime_case_files.n_18_03_juveniles_arrested_family_background
  • 11.31 KB
  • 350 rows
  • 7 columns
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CREATE TABLE n_18_03_juveniles_arrested_family_background (
  "area_name" VARCHAR,
  "year" BIGINT,
  "sub_group_name" VARCHAR,
  "family_back_ground_homeless" BIGINT,
  "family_back_ground_living_with_guardian" BIGINT,
  "family_back_ground_living_with_parents" BIGINT,
  "family_back_ground_total" BIGINT
);

N 18–04 Juveniles Arrested Recidivism

@kaggle.bhanupratapbiswas_crime_case_files.n_18_04_juveniles_arrested_recidivism
  • 9.35 KB
  • 350 rows
  • 6 columns
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CREATE TABLE n_18_04_juveniles_arrested_recidivism (
  "area_name" VARCHAR,
  "year" BIGINT,
  "sub_group_name" VARCHAR,
  "recidivism_new_delinquent" BIGINT,
  "recidivism_old_delinquent" BIGINT,
  "recidivism_total" BIGINT
);

N 19 Motive Or Cause Of Murder And Culpable Homicide N 1970921c

@kaggle.bhanupratapbiswas_crime_case_files.n_19_motive_or_cause_of_murder_and_culpable_homicide_n_1970921c
  • 39.57 KB
  • 350 rows
  • 30 columns
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CREATE TABLE n_19_motive_or_cause_of_murder_and_culpable_homicide_n_1970921c (
  "area_name" VARCHAR,
  "year" BIGINT,
  "chnamurder_cause_by_terroristextremist" BIGINT,
  "chnamurder_cause_casteism" BIGINT,
  "chnamurder_cause_class_conflict" BIGINT,
  "chnamurder_cause_communalism" BIGINT,
  "chnamurder_cause_dowry" BIGINT,
  "chnamurder_cause_for_political_reason" BIGINT,
  "chnamurder_cause_gain" BIGINT,
  "chnamurder_cause_love_affairssexual_relations" BIGINT,
  "chnamurder_cause_lunacy" BIGINT,
  "chnamurder_cause_other_causes_or_motives" BIGINT,
  "chnamurder_cause_personal_vendetta_or_enmity" BIGINT,
  "chnamurder_cause_property_dispute" BIGINT,
  "chnamurder_cause_total" BIGINT,
  "chnamurder_cause_witchcraft" BIGINT,
  "murder_cause_by_terroristextremist" BIGINT,
  "murder_cause_casteism" BIGINT,
  "murder_cause_class_conflict" BIGINT,
  "murder_cause_communalism" BIGINT,
  "murder_cause_dowry" BIGINT,
  "murder_cause_for_political_reason" BIGINT,
  "murder_cause_gain" BIGINT,
  "murder_cause_love_affairssexual_relations" BIGINT,
  "murder_cause_lunacy" BIGINT,
  "murder_cause_other_causes_or_motives" BIGINT,
  "murder_cause_personal_vendetta_or_enmity" BIGINT,
  "murder_cause_property_dispute" BIGINT,
  "murder_cause_total" BIGINT,
  "murder_cause_witchcraft" BIGINT
);

N 20 Victims Of Rape

@kaggle.bhanupratapbiswas_crime_case_files.n_20_victims_of_rape
  • 24.48 KB
  • 1050 rows
  • 11 columns
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CREATE TABLE n_20_victims_of_rape (
  "area_name" VARCHAR,
  "year" BIGINT,
  "subgroup" VARCHAR,
  "rape_cases_reported" BIGINT,
  "victims_above_50_yrs" BIGINT,
  "victims_between_10_14_yrs" BIGINT,
  "victims_between_14_18_yrs" BIGINT,
  "victims_between_18_30_yrs" BIGINT,
  "victims_between_30_50_yrs" BIGINT,
  "victims_of_rape_total" BIGINT,
  "victims_upto_10_yrs" BIGINT
);

N 21 Offenders Known To The Victim

@kaggle.bhanupratapbiswas_crime_case_files.n_21_offenders_known_to_the_victim
  • 12.93 KB
  • 350 rows
  • 7 columns
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CREATE TABLE n_21_offenders_known_to_the_victim (
  "area_name" VARCHAR,
  "year" BIGINT,
  "no_of_cases_in_which_offenders_were_known_to_the_victims" BIGINT,
  "no_of_cases_in_which_offenders_were_neighbours" BIGINT,
  "no_of_cases_in_which_offenders_were_other_known_persons" BIGINT,
  "no_of_cases_in_which_offenders_were_parentsclose_family_members" BIGINT,
  "no_of_cases_in_which_offenders_were_relatives" BIGINT
);

N 22 Persons Arrested Under Recidivism

@kaggle.bhanupratapbiswas_crime_case_files.n_22_persons_arrested_under_recidivism
  • 15.51 KB
  • 350 rows
  • 7 columns
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CREATE TABLE n_22_persons_arrested_under_recidivism (
  "area_name" VARCHAR,
  "year" BIGINT,
  "offenders_arrested" BIGINT,
  "offenders_arrested_for_the_first_time" BIGINT,
  "offenders_conviction_in_the_past_once" BIGINT,
  "offenders_conviction_in_the_past_three_times_or_more" BIGINT,
  "offenders_conviction_in_the_past_twice" BIGINT
);

N 23 Anti Corruprion Cases

@kaggle.bhanupratapbiswas_crime_case_files.n_23_anti_corruprion_cases
  • 52.44 KB
  • 346 rows
  • 29 columns
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CREATE TABLE n_23_anti_corruprion_cases (
  "area_name" VARCHAR,
  "year" BIGINT,
  "ac01_no_of_cases_pending_investigation_from_previous_year" DOUBLE,
  "ac02_no_of_cases_registered_during_the_year" DOUBLE,
  "ac03_total_no_of_cases_for_investigation_during_the_year" DOUBLE,
  "ac04_no_of_cases_investigated_during_the_year" DOUBLE,
  "ac05_no_of_cases_not_investigatedor_in_which_investiga_d6413c7a" DOUBLE,
  "ac06_no_of_cases_transferred_to_local_police_during_the_year" DOUBLE,
  "ac07_no_of_cases_declared_false_mistake_of_fact_or_of__2d1a2451" DOUBLE,
  "ac08_no_of_cases_in_which_charge_sheets_were_laid_duri_6294269c" DOUBLE,
  "ac09_no_of_cases_pending_departmental_sanction_for_pro_d670f501" DOUBLE,
  "ac10_no_of_cases_sent_up_for_trial_and_also_reported_f_41635e49" DOUBLE,
  "ac11_no_of_cases_reported_for_regular_departmental_act_50b4a53c" DOUBLE,
  "ac12_no_of_cases_reported_for_suitable_action_during_the_year" DOUBLE,
  "ac13_no_of_cases_in_which_charge_sheets_were_not_laid__193a1bbf" DOUBLE,
  "ac14_no_of_cases_pending_investigation_at_the_end_of_the_year" DOUBLE,
  "ac15_no_of_cases_resulted_in_recoveries_or_seizures_du_0c5c6e2e" DOUBLE,
  "ac16_value_of_property_recoveredseized_during_the_year_in_rs" DOUBLE,
  "ac17_percentage_of_cases_charge_sheeted_to_total_cases_f7949f22" DOUBLE,
  "ac18_no_of_cases_pending_trial_from_the_previous_year" DOUBLE,
  "ac19_no_of_cases_sent_up_for_trial_during_the_year" DOUBLE,
  "ac20_total_no_of_cases_for_trial_during_the_year" DOUBLE,
  "ac21_no_of_cases_withdrawn_or_other_wise_disposed_off__8ff51e05" DOUBLE,
  "ac22_no_of_cases_in_which_trials_were_completed_during_the_year" DOUBLE,
  "ac23_no_of_cases_convicted_during_the_year" DOUBLE,
  "ac24_no_of_cases_acquitted_or_discharged_during_the_year" DOUBLE,
  "ac25_no_of_cases_pending_trial_at_the_end_of_the_year" DOUBLE,
  "ac26_percentage_of_cases_convicted_to_cases_in_which_t_f8f82422" DOUBLE,
  "ac27_total_amount_of_fine_imposed_during_the_year_in_rs" DOUBLE
);

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