An analysis of Seattle rain data collected at SeaTac International Airport from 1948 to 2017.
Read the full report here.
- Conducted a comprehensive data analysis project focusing on rain data collected at SeaTac International Airport from 1948 to 2017.
- Leveraged R programming to clean, preprocess, and manipulate data, ensuring accuracy and reliability.
- Showcased proficiency in data wrangling techniques, including handling missing values, duplicates, and merging datasets.
- Utilized popular R packages such as dplyr, ggplot2, and sqldf to perform advanced data transformations and visualization.
- Developed insightful visualizations, including line graphs, scatter plots, and bar charts, to communicate key findings effectively.
- Demonstrated strong analytical skills by deriving trends from complex data patterns.
- Implemented statistical analysis techniques to uncover correlations and trends, contributing to evidence-based decision-making.
- Authored a comprehensive data analysis report using R Markdown, effectively presenting the findings and methodologies.
- Published the analysis report on Kaggle and GitHub, demonstrating the ability to share work and collaborate with others.
- Integrated acquired skills in data analysis, programming, and data visualization to create a meaningful project with real-world applications.