https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/
Analyze Fatality Trends: Explore the dataset and track the trends in fatalities over time. Identify any significant changes, spikes, or declines in the number of fatalities. Demographic Analysis:Conduct a demographic analysis by examining the age, gender, and citizenship of the individuals killed. Determine if there are any notable patterns or disparities in the data. Geospatial Analysis: Utilize the event location, district, and region information to perform geospatial analysis. Visualize the distribution of fatalities on a map and identify areas that have experienced higher levels of violence. Hostilities Participation Analysis:Investigate the extent of individuals' participation in hostilities before their deaths. Analyze the relationship between participation and the circumstances surrounding each fatality. Injury Analysis: Examine the types of injuries inflicted on individuals. Identify the most common types of injuries and assess their severity. Weapons Used: Analyze the ammunition and means by which the individuals were killed. Determine the most frequently used weapons or methods and evaluate their impact. Victim Profiles: Create profiles of the victims based on the available data such as age, gender, citizenship, and place of residence. Identify common characteristics among the victims.
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Analysis of ‘Philippine Drug War Casualties ’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/sakinak/philippine-drug-war-casualties on 13 February 2022.
--- Dataset description provided by original source is as follows ---
Philippine President Rodrigo Duterte was elected in 2016 on the promise that he would wage a war on drugs. Since then, thousands of drug suspects have been killed by the police or by masked gunmen. The real number of casualties is contested. This dataset contains information on 2,320 individuals killed in three municipalities in the capital in the first 18 months of the anti-drug campaign.
The Stabile Center for Investigative Journalism collected this information from 23 different sources and visited four communities in Metro Manila to verify. The data here cover the period from July 2016 to December 2017 in the following municipalities: Quezon City, Manila, and Caloocan. There are two types of homicides associated with the drug war: those committed by the police during drug stings and other operations and those killed by unidentified assailants.
For privacy and safety reasons, this dataset lists each individual killing but does not include names and other information that may identify the victims. The sources of information for each homicide are grouped in six categories: police records, news clips, the Philippine Commission on Human Rights (a government watchdog), human rights organizations, church groups, and others. A check mark indicates that the killing was documented by the source.
Nearly 80 percent of these homicides have been recorded in some police document—a spot or incident report, a memo to internal affairs, an entry in a paper or electronic blotter. Nearly 60 percent of the killings have been reported in the news. A small number have been recorded only by churches and human-rights groups.
--- Original source retains full ownership of the source dataset ---
https://dataverse.harvard.edu/api/datasets/:persistentId/versions/1.2/customlicense?persistentId=doi:10.7910/DVN/BLXMCYhttps://dataverse.harvard.edu/api/datasets/:persistentId/versions/1.2/customlicense?persistentId=doi:10.7910/DVN/BLXMCY
War heightens public interest in politics, especially when human lives are lost. We examine whether, and how, combat casualties affect the decision to vote in established democracies. Drawing from social psychology research on mortality salience, we expect increasing casualties to increase the salience of death, information that moves people to defend their worldview, especially nationalistic and ideological values. By heightening the importance of values, we propose that combat casualties increase the benefits of voting. In particular, we expect the effect of combat casualties to be pronounced among the least politically engaged. Using both cross-national data of elections in twenty-three democracies over a fifty year period and survey data from the United States and United Kingdom during the Iraq and Afghanistan wars, we found that mounting casualties increase turnout. Furthermore, as expected, we found the effect of casualties to be most pronounced among those least interested in politics. ------------------------------------------------------- This is the materials required to replicate all models and figures in Death and Turnout. Please read the Death and Turnout read me code book first for descriptions of data and to run each analysis. Note that the user must also download the CCES and BES data sets.
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this graph was created in OurDataWorld:
https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F16731800%2Fcd6879d40e130fb170c9c4bca356e7c5%2Fgraph1.png?generation=1720650389083803&alt=media" alt="">
https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F16731800%2Fc4192cf521d459ee47ca285b1465eb58%2Fgraph2.png?generation=1720650394253887&alt=media" alt="">
https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F16731800%2F7ed118dbaff77a987e713bd534bf503a%2Fgraph3.png?generation=1720650399695639&alt=media" alt="">
Definition of the SDG indicator: Indicator 16.1.1 is the “number of victims of intentional homicide per 100,000 population, by sex and age” in the UN SDG framework.
Intentional homicides are unlawful deaths inflicted upon a person with the intent to cause death or serious injury.
Data for this indicator is shown in the interactive visualization.
Target: “Significantly reduce all forms of violence and related death rates” across all countries by 2030.
More research: Further data and research can be found at the Our World in Data topic page on Homicides.
Definition of the SDG indicator: Indicator 16.1.2 is “conflict-related deaths per 100,000 population, by sex, age and cause” in the UN SDG framework.
Data for this indicator is shown in the interactive visualization, using data from the Uppsala Conflict Data Program. It includes both deaths from conflicts within countries and between them.
Target: “Significantly reduce all forms of violence and related death rates” across all countries by 2030.
More research: Further data and research can be found at the Our World in Data topic pages on War and Peace and Terrorism.
The law of 4 April 1873 “relating to the conservation of the graves of soldiers who died during the last war” (i.e. the French-German War of 1870) allows the French State to buy parcels of communal cemeteries or to expropriate private individuals in order to arrange graves for the remains of French and German soldiers. The National Archives kept records of the establishment of these military graves at the end of the 19th century. Classified by municipality, they contain the following parts: by-law instituting the military tomb(s), plan of the location of the burials, financial documents relating to the work surrounding the graves, exhumation and re-humation of bodies, correspondence. Some plans mention the number of soldiers buried, or even certain names or dress characteristics. The dataset made available lists all the records of municipalities kept in the National Archives. A number of these tombs and burials have now disappeared. Where possible, a link to the database Monuments to the Dead was created.
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https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/
Analyze Fatality Trends: Explore the dataset and track the trends in fatalities over time. Identify any significant changes, spikes, or declines in the number of fatalities. Demographic Analysis:Conduct a demographic analysis by examining the age, gender, and citizenship of the individuals killed. Determine if there are any notable patterns or disparities in the data. Geospatial Analysis: Utilize the event location, district, and region information to perform geospatial analysis. Visualize the distribution of fatalities on a map and identify areas that have experienced higher levels of violence. Hostilities Participation Analysis:Investigate the extent of individuals' participation in hostilities before their deaths. Analyze the relationship between participation and the circumstances surrounding each fatality. Injury Analysis: Examine the types of injuries inflicted on individuals. Identify the most common types of injuries and assess their severity. Weapons Used: Analyze the ammunition and means by which the individuals were killed. Determine the most frequently used weapons or methods and evaluate their impact. Victim Profiles: Create profiles of the victims based on the available data such as age, gender, citizenship, and place of residence. Identify common characteristics among the victims.