An impressive visualization created by Periscopic using public data. They calculated counterfactual stories for each of the individuals killed by gun violence, offering an alternate likely cause of death had they not been killed. Their description of their methods:
Our data comes from the FBI’s Uniform Crime Reports, which include voluntarily-reported data from police precincts across the country. In 2007, according to the FBI, law enforcement agencies active in the UCR Program represented more than 285 million US inhabitants—94.6% of the total population. This special dataset is at the raw, or incident, level—containing details of each person who was killed, including their age, gender, race, relationship to killer, and more.
For the gray lines, we calculated alternate stories for the people killed with guns using data from the World Health Organization. To calculate an alternate story, we first performed an age prediction weighted according to the age distribution of US deaths. Using this age, we then predicted a likely cause of death at that age. We do not adjust for life-expectancy differences between demographic groups, as we have not yet found data to that extent. We used data from 2005, the most recent year available.