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Update README.md
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ujunwa-DS authored Oct 27, 2022
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Expand Up @@ -9,10 +9,16 @@ The data was cleaned by removing null values and changing wrong data type, group


Exploratory data analysis was done with matplotlib to see trends of crime both in relation to time, month, days, years.
The clean data was exported to local file and imported to Power BI for dashboard building where the following was visualized.
The cleaned data was exported to local file and imported to Power BI for dashboard building where the following was visualized.

Time with most crime occurrence=4-7pm

Months with high crime = third quarter of the year (July to September).

The most committed type of crime which is part three UCR (minor crime)
total number of shooting =981

Total number of shooting =981

Year with highest crime = 2017

Street with high crime rate which is Washington stree etc

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