Partisanship as it Relates to Responsibility of Climate Change

As part of my independent research project, I conducted a survey to collect data on public attitudes toward climate change, specifically asking respondents to identify who they believed was responsible for climate change. The survey was administered to a representative sample of individuals from my local community.

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After collecting the survey data, I used R to clean, preprocess, and analyze the data. First, I checked for missing data, outliers, and any errors in data entry. Then, I used descriptive statistics to summarize the responses to the question of responsibility, including the frequencies and percentages of each response. I also used inferential statistics, such as chi-squared tests and logistic regression, to investigate relationships between demographic variables and perceptions of responsibility.

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In addition to analyzing the survey data, I also used R to create data visualizations to help communicate the findings. For example, I created bar charts to display the frequencies and percentages of different responses to the responsibility question and used scatterplots to examine the relationships between demographic variables and perceptions of responsibility.

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Overall, the survey project in my portfolio demonstrates my proficiency in survey design, data collection, data cleaning, and data analysis using R. It also highlights my ability to draw meaningful conclusions from survey data and to communicate those findings effectively through written reports and data visualizations. My use of inferential statistics and advanced data visualization techniques demonstrates my skills in statistical analysis and data visualization.