Introduction

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About the Data

This dataset was kindly made available by the Stanford Open Policing Project. It includes stop data from Rhode Island, covering the period from 2005 through 2015. The following variables recorded are as follows:

  • stop_date
  • stop_time
  • county_name
  • driver_gender
  • driver_age_raw
  • driver_age
  • driver_race
  • violation_raw
  • violation
  • search_conducted
  • search_type
  • stop_outcome
  • is_arrested
  • stop_duration
  • drugs_related_stop

I found the dataset on Kaggle and used the following inspirational questions to explore this data set. See the menu above to toggle between tabs.

(1) Do men or women speed more often?
(2) Does gender affect who gets searched during a stop?
(3) During a search, how often is the driver frisked?
(4) Which year had the least number of stops?
(5) How does drug activity change by time of day?
(6) Do most stops occur at night?

NOTE: The data contained certain rows missing information related to gender, these rows were removed becuase it would be difficult to create a conclusion based on incomplete data.

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References

Do men or women speed more often?

Row

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32,979

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15,482

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48,461

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Does gender affect who gets searched during a stop?

Row

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4 %

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62,895

Row

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2 %

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23,511

During a search, how often is the driver frisked?

Row

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274

Row

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3,196

Row

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8.57 %

Which year had the least number of stops?

Row

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86,406

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How does drug activity change by time of day?

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Do most stops occur at night?

Chart