This repo contains projects from my second Data Analytics courses, designed to demonstrate marked improvements and a broader grasp of key topics through more complex problem sets.
Focus:
- Investigated the impact of felony convictions and incarceration on voter registration and turnout.
- Evaluated the effect of informing former felons about restored voting rights on their likelihood to participate in elections.
Skills and Techniques:
- Data manipulation and cleaning with
R(e.g., subsetting data, creating new variables). - Statistical analysis (t-tests, linear regression) to assess treatment effects and balance between groups.
- Understanding experimental design, including treatment and control conditions and randomization.
Key Takeaways:
- Demonstrated how targeted interventions can influence voter participation among specific populations.
- Emphasized the importance of experimental design and statistical testing in drawing causal conclusions.
Focus:
- Analyzed the relationship between state population density and total revenue across the United States.
- Investigated correlations and trends using economic and demographic data.
Skills and Techniques:
- Data wrangling and merging (e.g., combining datasets, calculating new variables).
- Aggregation of data to summarize state-level revenue.
- Data visualization using
ggplot2to explore and present relationships between variables.
Key Takeaways:
- Explored the complex relationship between population density and revenue, highlighting the influence of sector-specific factors.
- Gained experience in handling and visualizing large datasets to communicate insights effectively.
Focus:
- Analyzed survey data to examine political attitudes, including voter preferences and feelings towards the federal government.
- Compared attitudes between different political affiliations.
Skills and Techniques:
- Data cleaning and subsetting (e.g., filtering survey responses, creating new variables).
- Calculation of descriptive statistics and differences in means.
- Regression analysis to explore relationships between political attitudes and survey responses.
Key Takeaways:
- Provided insights into how political affiliation influences attitudes towards government.
- Developed skills in cleaning, analyzing, and interpreting survey data to understand public opinion.
Focus:
- Investigated the impact of electoral conditions and voter registration data on election outcomes.
- Analyzed how various factors, such as eligibility information, affect voter turnout and registration rates.
Skills and Techniques:
- Applied data manipulation and analysis to election data using
R. - Conducted regression analyses to understand the effects of different variables on election outcomes.
- Interpreted statistical results to evaluate the effectiveness of electoral interventions.
Key Takeaways:
- Demonstrated ability to analyze complex election data and assess the impact of interventions on voter behavior.
- Highlighted the importance of understanding voter eligibility and registration in electoral studies.
Across these projects, you have demonstrated proficiency in:
- Data Manipulation: Cleaning, subsetting, and merging datasets to prepare data for analysis.
- Statistical Analysis: Applying statistical tests (t-tests, regression) to analyze and interpret experimental and survey data.
- Experimental Design: Understanding and applying principles of experimental design, including treatment and control groups.
- Data Visualization: Creating effective visualizations using tools like
ggplot2to communicate insights and trends. - Analytical Thinking: Interpreting complex data to draw meaningful conclusions and provide actionable insights.
These projects showcase an ability to handle diverse datasets, apply statistical and analytical techniques, and communicate findings effectively.