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The design follows **CTA’s official color scheme** to ensure visual consistency.  \n\n---\n\n## 📂 About the Dataset  \n\nThis dataset contains daily boarding totals for CTA services, covering both bus and rail rides. The data has been **filtered to include records from January 1, 2015, to December 31, 2024**.  \n\n### **Dataset Columns \u0026 Explanation**  \n- **Service Date (Date Field)** – Represents the date for which the ridership data is recorded.  \n- **Day Type (String Field)** – Classifies the day into three categories:  \n  - **W** – Weekday  \n  - **A** – Saturday  \n  - **U** – Sunday/Holiday  \n- **Bus Boardings (Numerical Field)** – Total number of bus rides on a given day.  \n- **Rail Boardings (Numerical Field)** – Total number of rail rides on a given day.  \n- **Total Rides (Numerical Field)** – The sum of bus and rail boardings for that day.  \n\n---\n\n## 📊 Dashboards  \n\n### **Dashboard 1: Overview of CTA Ridership Trends**  \nThis dashboard provides a **high-level summary of CTA ridership**, offering insights into overall trends:  \n- **Total Rides by Day Type (Pie Chart)** – Displays the proportion of rides taken on weekdays, Saturdays, and Sundays/Holidays.  \n- **Total Rides by Month (Pie Chart)** – Shows ridership distribution across different months.  \n- **Total Rides by Month (Line Chart)** – Tracks monthly ridership trends from 2015 to 2024.  \n- **Filters** – Allows users to filter data by **year, quarter, month, and day type** for a customized view.  \n\n### **Dashboard 2: Comparative Analysis of CTA Ridership**  \nThis dashboard enables **detailed comparisons and trend analysis** of CTA ridership:  \n- **Bus vs. Rail Boardings by Day Type (Side-by-Side Bar Chart)** – Compares daily bus and rail ridership across different day types.  \n- **Quarterly Rides by Year (Stacked Bar Chart)** – Displays ridership trends across all four quarters for each year.  \n- **Yearly Trends for Bus and Rail (Dual-Axis Line Chart)** – Highlights annual ridership trends for both transportation modes.  \n- **Quarterly Trends in Total Rides Over Time (Line Chart)** – Shows quarterly fluctuations in overall ridership.  \n- **Filters** – Allows selection by **year, quarter, month, and day type** to explore specific trends.  \n- **Average Line** – Provides an **average ridership benchmark** to help analyze whether a particular quarter’s ridership was above or below the historical average.\n\n### **Dynamic Feature:** \n- **Reset Filters Button** – Enables users to **clear all applied filters** and restore the default view. It restores default settings by clearing all selected filters.  \n- **All filters impact every visualization simultaneously**, ensuring an **interactive and seamless experience** when analyzing trends.  \n\n---\n\n## 🔥 Heatmaps  \n\n### **1. Rides by Month (Heatmap)**  \n- This heatmap visually represents **monthly ridership trends**, identifying months with higher or lower ridership.  \n- **Darker shades indicate higher ridership**, while lighter shades represent lower ridership.  \n\n### **2. Rides by Day Type and Month (Heatmap)**  \n- Expands on the first heatmap by breaking down ridership by **day type (Weekday, Saturday, Sunday/Holiday)**.  \n- Highlights which months experience peak or low ridership on specific days of the week.  \n\n---\n\n## 📈 **Key Learnings \u0026 Insights**  \n\n### **Impact of COVID-19 on CTA Ridership**  \n- A **sharp decline in ridership is evident during 2020-2021**, aligning with the pandemic’s impact.  \n- **Bus and rail boardings dropped significantly**, especially during lockdown periods.  \n- **Monthly and quarterly trends confirm that ridership post-COVID remains lower than pre-pandemic levels**, though a gradual recovery is visible.\n\n### **Design \u0026 Color Matching**  \n- The dashboards follow **CTA’s official color scheme** for brand alignment.  \n- Heatmaps use **color intensity** to emphasize ridership variations effectively.  \n\n---\n\n## 🚀 How to View the Project  \n1. **Download** the Tableau project files from this repository.  \n2. **Open** the `.twbx` file in Tableau Desktop.  \n3. **Interact** with the dashboards, apply filters, and analyze ridership trends.  \n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsanjana-bongale%2Fcta_ridership_data_visualization_using_tableau","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsanjana-bongale%2Fcta_ridership_data_visualization_using_tableau","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsanjana-bongale%2Fcta_ridership_data_visualization_using_tableau/lists"}