For this project, our group conducted an original data analysis based on a dataset from Kaggle, which contained exam scores for students from a public school. This dataset included over 30,000 data points and 15 variables, and it also covered three key test scores along with a variety of personal and socio-economic factors. We centered the analysis on the question, “Is test success really in our hands?”—this is something that we all agreed would be the best and most intriguing topic to focus on for our visualizations. My role in the project was to clean and prepare the data so that the other members in my group could use the data to analyze and create visualizations, as well as writing the conclusions of our results and what we learned from this analysis. For this project, we used Tableau to visualize our key insights, such as how female students tended to outperform male students, as well as how playing sports correlated with higher grades in subjects like writing, math, and reading. Our results suggested that while factors like hours spent studying, time management, and work ethic significantly influence test success, there were also external factors such as socio-economic background and parent marital status that played a big role in how well students did on their exams. Through this analysis, we learned how to deal with handling very large datasets, applying visualization tools more effectively, as well as being able to assess how all these different factors influence outcomes on student success.
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