Pinned Repositories
Data-Analytics-Portfolio
Employed statistical analysis, data summarization, exploratory data analysis, data visualization, and k-means clustering to analyze data of ‘Top Performing S&P 500 Stocks’ utilizing Python (numpy, pandas, matplotlib, seaborn, plotly, and scikit-learn) and Google Colab to choose the best investment vehicle
Final-Year-Economics-Research-Project
Performed statistical analysis, statistical modelling, root cause analysis and data visualization utilizing Stata, Excel, and Tableau on a panel dataset to test the impact of ‘Police Presence’ on the ‘Crime Rate’ employing the fixed effects, random effects, and cluster analysis model. Concluded that Police had a greater impact on ‘Property Crime’ rather than ‘Violent Crime’ and ‘Applications and Petitions in High Court’ was a strong deterrent to crime
sonialihaider's Repositories
sonialihaider/Data-Analytics-Portfolio
Employed statistical analysis, data summarization, exploratory data analysis, data visualization, and k-means clustering to analyze data of ‘Top Performing S&P 500 Stocks’ utilizing Python (numpy, pandas, matplotlib, seaborn, plotly, and scikit-learn) and Google Colab to choose the best investment vehicle
sonialihaider/Final-Year-Economics-Research-Project
Performed statistical analysis, statistical modelling, root cause analysis and data visualization utilizing Stata, Excel, and Tableau on a panel dataset to test the impact of ‘Police Presence’ on the ‘Crime Rate’ employing the fixed effects, random effects, and cluster analysis model. Concluded that Police had a greater impact on ‘Property Crime’ rather than ‘Violent Crime’ and ‘Applications and Petitions in High Court’ was a strong deterrent to crime