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Data Analysis on an extensive dataset of crimes in Chicago (2005-2016) using Dask

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Crimes-in-Chicago

Problem Statement: Data Analysis on an extensive dataset of crimes in Chicago (2005-2016) using Dask

Libraries Used: Mainly Dask, seaborn, matplotlib, folium

Description: This dataset reflects reported incidents of crime (with the exception of murders where data exists for each victim) that occurred in the City of Chicago from 2005-2016. Data is extracted from the Chicago Police Department's CLEAR (Citizen Law Enforcement Analysis and Reporting) system. In order to protect the privacy of crime victims, addresses are shown at the block level only and specific locations are not identified.

Findings:

  • Theft is the most common crime in Chicago.Most of the theft reported cases are with '$500 and under' description.
  • Top 10 types of crimes are Theft, Battery, Criminal damage, Narcotics, Burglary, Other Offense, Assault, Motor Vehicle Theft , Robbery and Deceptive Practice
  • The most common crime location is Chicago streets.
  • We see the highest crimes reported in 2005.
  • Austin is the highest crime community area in Chicago as per our analysis.
  • Very few crime reports (~27.80%) end up in an arrest. But we found that in Narcotics related crimes, the arrest rate is very high almost 100%.
  • Even if Theft is the most common crime in Chicago but Arrest rate is quite low comparatively.
  • We can easily infer from the above graph that Fridays the criminal activities are at their highest. So, accordingly Police department can have more patrolling and preventive measures on Fridays to have a check on them.
  • We can see clearly in the graph that the peak of the crimes is during summer(July) across all these years.
  • Number of crimes reported has declined over the period of 10 year from 2006 to 2016.
  • The years between 2005 and 2008 were a tough time in Chicago considering the criminal activities.

Disclaimer: These crimes may be based upon preliminary information supplied to the Police Department by the reporting parties that have not been verified. The Chicago Police Department will not be responsible for any error or omission, or for the use of, or the results obtained from the use of this information. All data visualizations on maps should be considered approximate and attempts to derive specific addresses are strictly prohibited. The Chicago Police Department is not responsible for the content of any off-site pages that are referenced by or that reference this web page other than an official City of Chicago or Chicago Police Department web page. The Chicago Police Department is not responsible for any defamatory, offensive, misleading, or illegal conduct of other users, links, or third parties and that the risk of injury from the foregoing rests entirely with the user. The unauthorized use of the words "Chicago Police Department," "Chicago Police," or any colorable imitation of these words or the unauthorized use of the Chicago Police Department logo is unlawful.

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Data Analysis on an extensive dataset of crimes in Chicago (2005-2016) using Dask

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