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  - **Durham**:
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  - [Durham Open Data Portal - DPD Incidents UCR/NIBRS Reporting](https://live-durhamnc.opendata.arcgis.com/documents/DurhamNC::dpd-incidents-ucr-nibrs-reporting/about)
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  - **Raleigh**:
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- - [Raleigh Open Data Portal - Police Incidents (1)](https://data-ral.opendata.arcgis.com/datasets/09af62a32ae8436bae6eda74aa7f172b_0/explore?location=35.785903%2C-78.643000%2C10.73&showTable=true)
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- - [Raleigh Open Data Portal - Police Incidents (2)](https://data-ral.opendata.arcgis.com/datasets/693811eb361f4da286891eca1fae5943_0/explore?filters=eyJDcmVhdGlvbkRhdGUiOlsxNzA2Njk1MjUzMjA5LDE3MDY2OTUyNTk2MTddfQ%3D%3D&location=35.797935%2C-78.624284%2C9.84)
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-
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  - **Point of Contact:** For any issues related to the raw datasets, please reach out to the respective government offices. For inquiries or issues regarding the processed data, you can contact zwn22 at Huggingface.
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  ### Dataset Summary
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  3. **Geospatial Analysis**: Mapping crime incidents to identify hotspots and regions with higher crime rates. This can aid in understanding geographical factors influencing crime and in deploying resources more effectively.
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- 4. **Crime Type Classification**: Using machine learning algorithms to automatically classify incidents into different crime types based on the incident descriptions.
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- 5. **Time Series Analysis**: Examining how crime rates change over time and understanding long-term trends or cyclic patterns.
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  ### Languages
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@@ -129,12 +124,10 @@ Five datasets are primarily utilized as source data:
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  'ATT/COM', 'UCR Code', 'Offense', 'Address', 'X', 'Y', 'District',
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  'Beat', 'Tract', 'Premise', 'Weapon'
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  - **Raleigh**:
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- - [Raleigh Open Data Portal - Police Incidents (1)](https://data-ral.opendata.arcgis.com/datasets/09af62a32ae8436bae6eda74aa7f172b_0/explore?location=35.785903%2C-78.643000%2C10.73&showTable=true)
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  - Details:
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- - Size: 422975 rows * 6 columns
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- - Column names: 'LCR Code', 'LCR Description', 'Incident Date', 'Incident #', 'DISTRICT', 'Yesterday'
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- - [Raleigh Open Data Portal - Police Incidents (2)](https://data-ral.opendata.arcgis.com/datasets/693811eb361f4da286891eca1fae5943_0/explore?filters=eyJDcmVhdGlvbkRhdGUiOlsxNzA2Njk1MjUzMjA5LDE3MDY2OTUyNTk2MTddfQ%3D%3D&location=35.797935%2C-78.624284%2C9.84)
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- * This dataset is updated daily. I will try to monitor these updates and continue collecting data until February 15th, 2024.
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  ## Considerations for Using the Data
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  - **Durham**:
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  - [Durham Open Data Portal - DPD Incidents UCR/NIBRS Reporting](https://live-durhamnc.opendata.arcgis.com/documents/DurhamNC::dpd-incidents-ucr-nibrs-reporting/about)
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  - **Raleigh**:
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+ - [Raleigh Open Data Portal - Police Incidents (SRS)](https://data.raleighnc.gov/datasets/ral::raleigh-police-incidents-nibrs/explore?filters=eyJyZXBvcnRlZF95ZWFyIjpbMjAyNCwyMDI0XX0%3D&location=35.779792%2C-78.678454%2C11.17&showTable=true)
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  - **Point of Contact:** For any issues related to the raw datasets, please reach out to the respective government offices. For inquiries or issues regarding the processed data, you can contact zwn22 at Huggingface.
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  ### Dataset Summary
 
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  3. **Geospatial Analysis**: Mapping crime incidents to identify hotspots and regions with higher crime rates. This can aid in understanding geographical factors influencing crime and in deploying resources more effectively.
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  ### Languages
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  'ATT/COM', 'UCR Code', 'Offense', 'Address', 'X', 'Y', 'District',
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  'Beat', 'Tract', 'Premise', 'Weapon'
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  - **Raleigh**:
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+ - [Raleigh Open Data Portal - Police Incidents (NIBRS)](https://data.raleighnc.gov/datasets/ral::raleigh-police-incidents-nibrs/explore?filters=eyJyZXBvcnRlZF95ZWFyIjpbMjAyNCwyMDI0XX0%3D&location=35.779792%2C-78.678454%2C11.17&showTable=true)
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  - Details:
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+ - Size: 493912 rows * 19 columns
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+ - Column names: 'Case Number', 'Crime_Category', 'Crime Code', 'Crime Description', 'Crime Type', 'Reported Block Address', 'City of Incident', 'City', 'District', 'Reported Date', 'Reported Year', 'Reported Month', 'Reported Day', 'Reported Hour', 'Reported Day of Week', 'Latitude', 'Longitude', 'Agency', 'Updated_Date'
 
 
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  ## Considerations for Using the Data
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