京公网安备11010802038645号京ICP备20022436号-3京EDI证京B2-20220639区块链京网信备 1101082276223860002X号以下为卖家选择提供的数据验证报告：
数据描述
Usage
This data can be used for Data Analysis, Data Visualization, and Data Analytics purposes. One can draw really great insights from these data points.
Context
This dataset contains riots that took place in India along with the actors and geolocations. This record ranges from 1997-to 2022 and has 50,000+ records. This data is collected from ACLED. The Armed Conflict Location & Event Data Project (ACLED) is a non-governmental organization specializing in disaggregated conflict data collection, analysis, and crisis mapping. ACLED codes the dates, actors, locations, fatalities, and types of all reported political violence and demonstration events around the world in real-time. As of 2022, ACLED has recorded more than 1.3 million individual events around the world.[1] The ACLED team conducts analysis to describe, explore, and test conflict scenarios, making both data and analysis open for use by the public.
Content
| Column Name | Content |
|---|---|
| ISO | A numeric code for each individual country |
| EVENT_ID_CNTY | An individual identifier by number and country acronym(updated annually) |
| EVENT_ID_NO_CNTY | An individual numeric identifier (updated annually) |
| EVENT_DATE | The day, month, and year on which an event took place |
| YEAR | The year in which an event took place |
| TIME_PRECISION | A numeric code indicating the level of certainty of the date coded for the event |
| EVENT_TYPE | The type of event |
| SUB_EVENT_TYPE | The type of sub-event |
| ACTOR1 | The named actor involved in the event |
| ASSOC_ACTOR_1 | The named actor associated with or identifying ACTOR1 |
| INTER1 | A numeric code indicating the type of ACTOR1 |
| ACTOR2 | The named actor involved in the event |
| ASSOC_ACTOR_2 | The named actor associated with or identifying ACTOR2 |
| INTER2 | A numeric code indicating the type of ACTOR2 |
| INTERACTION | A numeric code indicating the interaction between types of ACTOR1 and ACTOR2 |
| REGION | The region of the world where the event took place |
| COUNTRY | The country in which the event took place |
| ADMIN1 | The largest sub-national administrative region in which the event took place |
| ADMIN2 | The second-largest sub-national administrative region in which the event took place |
| ADMIN3 | The third-largest sub-national administrative region in which the event took place |
| LOCATION | The location in which the event took place |
| LATITUDE | The latitude of the location |
| LONGITUDE | The longitude of the location |
| GEO_PRECISION | A numeric code indicating the level of certainty of the location coded for the event |
| SOURCE | The source of the event report |
| SOURCE SCALE | The scale (local, regional, national, international) of the source |
| NOTES | A short description of the event |
| FATALITIES | The number of reported fatalities that occurred during the event |
| timestamp | Unix Timestamp |
| iso3 | Country ISO Code |
NOTE 1: Actor Codes and other information related to columns can be found at https://acleddata.com/acleddatanew/wp-content/uploads/2021/11/ACLED_Codebook_v1_January-2021.pdf NOTE2: Data related to the entire dataset and faqs for ACLED can be found at https://www.acleddata.com/wp-content/uploads/dlm_uploads/2017/10/ACLED_FAQs_2017_October.pdf
License
Riots/Protests in India,2016-2022 - 100k Datapoint
16.08MB
申请报告