This project sought to analyze the evolution or n 20 to ñ os one of the problems m to s serious facing M é xico: the killings. We found that the level of violence nationwide to overcome the crisis that occurred in 2011 with the war on drugs, we discovered that see the big picture at the national level was not enough as í we decided to visualize trends homicide of the 32 states integrating M é xico.
The impact of this project really is in the visualization it or n data, because we communicate effectively, simple and exploratory manner the evolution or n a problem to tica as complex and important as violence in M é xico.
On the other hand it is ñto note that this project had an impact on different pa mediatico í countries, thanks to which was retaken by the Gijn in its weekly Top 10 Data Journalism
For an to analysis of the data we use Phyton; for the design ñ or employ the paqueter í to adobe illustrator and xd; for programming it or n of the visualization it or n use data D3
What was the hardest part of this project?
the hardest part of this project was the size of the data that we work, the data set that deal was made up of hundreds of thousands of records and comprend í to infomarmacion infomarmaci or n data of the 32 states of M é xico for 20 to ñ os. Thinking and design ñ ar how could í masters so much data display was a big challenge which we are very proud to have faced.
What can others learn from this project?
We like to think that with this project we show that journalism data seeks and must seek to understand and communicate the problem to ticas of sistem way to tica. M é xico all d í as news of killings abound, but rarely the subject comes from a glance m to s broader, deeper. What others can learn from this project is incre í potential ble having data journalism.