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Data science competition to predict category

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Reference no: EM132540672

Kaggle has hosted a data science competition to predict category of crime in San Francisco based on 12 years (From 1934 to 1963) of crime reports from across all of San Francisco's neighborhoods (time, location and other features are given).

I would like you to explore the dataset attached visually using Tableau and uncover hidden trends:

Are there specific clusters with higher crime rates?

Are there yearly/ Monthly/ Daily/ Hourly trends?

Is Crime distribution even across all geographical areas or different?

Reference no: EM132540672

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