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Data Science for Social Good: Crime Study

Use data science to catch criminals, plus find new ways to volunteer personal time for social good.

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9 Tasks1,500 XP

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Project Description

Quantitative analyses can have a significant impact on initiating change within one's community. When analyzed responsibly, data can provide evidence to understand difficult social issues correctly. In this project, you will leverage publicly available data to interpret crime patterns within the city of San Francisco.

The dataset used in this project is hosted on Kaggle and updated daily. Note - some of the original column names are altered for adherence to a standard naming scheme.

Project Tasks

  1. 1
    The power of data science
  2. 2
    First poke and prod
  3. 3
    Mutating join
  4. 4
    Inspect frequency trends
  5. 5
    Correlation between trends
  6. 6
    Filtering joins
  7. 7
    True crime
  8. 8
    Grand theft auto
  9. 9
    Density map

Technologies

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Topics

Data ManipulationData Visualization
William Connell HeadshotWilliam Connell

PhD Student at University of California, San Francisco

Will Connell is a Pharmaceutical Sciences and Pharmacogenomics doctorate student at UCSF. He is a hobbyist in all things data science and advocates for project-based learning and peer-to-peer mentorship.
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