With a lot of clear charts—scatter plots, bar-ranks, and more—this study lets you compare countries and continents, see how wealth, unemployment, birth rates, and life expectancy line up with the Crime and Safety Indexes, and spot outliers at a glance.

A Global Crime–Safety Insight Dashboard

This project presents an exploratory data analysis of New York City’s Citi Bike system using trip data from June 2013. The goal is to identify spatial, temporal, and demographic trends in bike-sharing behavior. The dashboard visualizes the ten most frequently used origin stations, revealing key hubs of activity concentrated in Midtown and Lower Manhattan. Temporal analysis uncovers pronounced weekday commute peaks around 8:00 AM and 6:00 PM, contrasted with more evenly distributed usage on weekends. A heatmap of hourly trip activity by day of week further illustrates shifts in riding behavior between workdays and weekends. Daily trip volumes show a general upward trend throughout the month, possibly influenced by seasonal factors or expanding system adoption. Demographic breakdowns highlight disparities in usage, with male riders comprising nearly half of all users, and a significant share of trips lacking self-reported gender data. Additionally, subscriber and casual user trip durations differ markedly: subscribers take shorter, more frequent rides, while customers exhibit longer, leisure-oriented trips. Collectively, the dashboard provides valuable insights into urban mobility patterns, supporting infrastructure planning, service optimization, and equity assessment within the Citi Bike program. The dashboard was developed using R with the flexdashboard, ggplot2, and lubridate packages.