Research Data Analyst – R programming
The primary goal of the assignment is to get a rough idea of your ability to deal with data extraction, transformation, and cleaning as well as basic data visualization. You are free to use any R package(s) you like so long as they are open source.
Instructions
1. Usingthesourcedataprovided(CriminalCodeofCanadaOffences,sourcedfrom Open Ottawa), please provide a summary of the criminal offences from 2016 to 2020. The summary should include:
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• Criminal Offences by Primary Violation by year. Provide one or more visualizations. Describe any insights gained from it.
• Visualize the monthly trend of Crime Against Property for 2019.
• Include your description as comments above your code in the R file.
2. AnalyzeandvisualizeBreak&EnterandTheft–MotorVehiclebyoccurrencehour
for 2020. Describe your inference from the analysis.
3. AnalyzeandvisualizeCrimeAgainstPersonsbyNeighborhoodfor2018.Describe your inference from the analysis.
We recognize that good data analysis takes time and consideration so please do not actually perform any analysis or report on results. You are not being judged on the volume of work or time put into this assignment. You will not be penalized in any way for only providing what is asked. Keep this in mind while doing the assignment and you will do great!
Deadline: Please submit a copy of your R script along with your datasets in a zip folder to no later than 2:30pm on Wednesday March 2nd, 2022.
Data Source
In the event you need a new copy of the dataset, the original data can be found in at the link below. https://open.ottawa.ca/documents/criminal-offences-/about
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