Machine Learning applied to the Crime scenario in the city of Chicago
<ul> <li> <pre><span>This set of databases is acquired through public data from the city of Chicago, <br>and with this, several pre-processing processes were developed to result in an <br>analysis to study security patterns and social behavior in the city.</span></pre> </li> <li> <p><code>CPD_Parks.csv</code>:Contains detailed information about Chicago Park District parks, including geographic location, dimensions, and types of facilities available.</p> </li> <li> <p><code>Crimes_-_2001_to_Present.csv</code>:<span>Record of crimes reported in the city of Chicago from 2001 to the present, including data on the nature of the crime, place and time of occurrence, and other information.</span></p> </li> <li> <p><code>Sex_Offenders.csv</code>: <span>Contains data relating to registered sex offenders, with information about the individuals and their locations.</span></p> </li> <li> <p><code>alterado.csv</code>: It represents a set of data derived from previous ones, which has undergone a transformation and cleaning process to adapt it to specific analyses.</p> </li> <li><code>ParaClasificacao.csv</code>: <span>A database prepared for classification, containing selected and processed variables ready for clustering</span></li> <li> </li> </ul>
ShareScore
36/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 4
- Harmonization
- 4
- Access
- 20
- Reuse readiness
- 8
- Engagement
- 0