Data Preparation & Processing: Imported FitBit data from CSV files into R Studio and utilized R packages (tidyverse, lubridate, janitor) to clean data, handle date formats, and merge datasets for analysis. Data Analysis & Visualization: Utilized ggplot2 and dplyr to create scatter plot visual representations of correlations between steps, calories, sleep, and sedentary time. Conducted day-of-week analysis to identify user activity patterns. Tool Utilization: Leveraged Jupyter Notebook, Python, and R Studio for data manipulation, analysis, and visualization. Insight-driven Recommendations: Derived marketing strategy recommendations for Bellabeat based on observed trends and user behavior patterns.