Chicago crime analysis
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- Project Title: Chicago crime analysis - Course name: Principles and Practice in Data Mining - Semester: Autumn 2016 - Professor: Yuran SEO - Sungkyunkwan University - Department: philosophy - Name: jangyoung seo - Contact: laiha10@naver.com
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- 2. 1. Data Searching Source https://data.cityofchicago.org/view /5cd6-ry5g Title Chicago crime 2001 ~ Filtered by Date 2016-08-01 ~2016–11-24 This dataset has rows of 87000
- 3. 2. Data preparation I deleted some useless variables (like ID, block, iUCR, Beat, FBI cord, etc..) I change my record to analysis easy. (like change TRUE to 1, change FALSE to 0)
- 4. 1. Proportion of Domestic crime Domestic crime is just 15% X axis = domestic or not Y axis = proportion
- 5. 2. Crime occurrence – community X axis = Community of Chicago Y axis = Crime occurrence
- 6. 3. Crime occurrence – Primary.Type X axis = crime type ( but omitted because of axis length ) Y axis = crime occurrence
- 7. 4. Crime type visualization Used package : “ggplot2” X axis = Frequency Y axis = crime type
- 8. 5. Crime description word cloud Used packages : “wordcloud” “KoNlp” “tm” There are too many value in Crime Description So, I make it into wordcloud Wordcloud is good tool to do textmining.
- 9. 6. Location wordcloud I used wordcloud method Without extractNoun function This is crime location Emphasised word : Street, Residence, Side walk
- 10. 7. Time series X axis = Crime date Y axis = occurrence The number of crime is decreased in November than August
- 11. 8. Map Visualization Used packages : “ggmap” “ggplot2” This is Map of Chicago With red point(=Crime)
- 12. 8. Map Visualization Used packages : “ggmap” “ggplot2” This is Map of Chicago With red point(=Crime)
- 13. 9. Crime Type – Arrest Proportion X axis : Proportion of arrest Y axis : Crime type. There are big differences between crime type
- 14. 10. District Arrest proportion X axis : Arrest proportion Y axis : District 1 ~ 31
- 15. 11. Chisq-Test Chisq – Test is only method I can use. Because all of variables in my dataset is categorial This result shows Arrest and crime type is dependant District and crime type is dependant Arrest and District is dependant
- 16. 12. Verification I execute chisq-Test one more on data set 2015 May crime dataset. And I deduce same results.