Our Course Project

I’m honored to be a member of the [data_criminals] project team.

Below, you’ll find a brief summary of our project. To access a detailed project description, please go to https://emu-hacettepe-analytics.github.io/emu430-fall2023-team-data_criminals/.

Summary

The dataset, sourced from TUIK, covers convicts received into prison across Turkey between 1990 and 2020. It includes information the educational status of the convicts. We chose this dataset because of its potential to unveil the connection between educational background and criminal behavior.

Our objectives include:

We will understand the relationship between education and crime. By analyzing the data set, we will gain insights into how educational attainment influences incarceration. We will develop proficiency in data manipulation and analysis using R. We will learn how to import, clean, transform, and visualize data using R’s built-in functions and libraries. We enhance critical thinking and problem-solving skills. We will apply their knowledge of R programming to draw meaningful conclusions from the data.

Our preliminary plans include:

We will import the data set into R and perform any necessary cleaning and data preparation steps. We will visualize the data using various plots and charts to gain an initial understanding of the distribution of variables and the relationships between them. We will interpret the results of the analysis and communicate the findings in a clear and concise manner. We have two main data sources. One of them comes from https://biruni.tuik.gov.tr/ web site. Thanks to this site we can contact a data base which take necessary command according to data base’s variable than turns a file which is excel format. Other one is an excel file which include information about crime types and number of convicts according to crime type. After some arrangement (cleaning, combining etc.) we collected our data in a excel file.