This dashboard provides a comprehensive view of global sales performance for 2011, combining time-based trends, geographic demand, and customer-level insights into a single executive-friendly view.
- Revenue Trend: Monthly revenue growth across 2011, highlighting seasonality and peak performance periods.
- Top Countries by Revenue: Comparison of the highest-performing markets based on revenue and quantity sold.
- Top Customers: Identification of key accounts contributing the largest share of revenue.
- Global Demand Map: Geographic distribution of orders and revenue across countries.
- Filtered sales data to 2011 and derived a monthly time dimension.
- Aggregated revenue and quantity metrics by month, country, and customer.
- Designed multiple Tableau worksheets (line chart, bar charts, filled map) and assembled them into a single dashboard with clear visual hierarchy.
- Enables leadership to identify peak sales periods for inventory and marketing planning.
- Highlights strategic countries and high-value customers driving most of the revenue.
- Provides a unified global performance snapshot for annual sales planning.
This dashboard analyzes economic inequality, poverty, and development indicators across South Asian countries, supporting data-driven policy and research discussions.
- KPI Summary: Regional averages for Gini index, life expectancy, GNI per capita, and urban/rural population shares.
- Life Expectancy Map: Country-level comparison with a metric selector to switch between indicators.
- Extreme Poverty Analysis: Percentage of population living below the $2.15/day poverty line.
- Inequality vs. Income: Relationship between Gini index and GNI per capita.
- Urbanization Trends: Changes in urban vs. rural population over time.
- Integrated multiple datasets by country and year.
- Standardized country names and aligned time ranges.
- Built parameter-driven views to dynamically switch metrics.
- Used reference lines and scatterplots to highlight inequality and poverty thresholds.
- Helps identify outlier countries with high inequality or extreme poverty.
- Supports evidence-based policymaking and regional comparisons.
- Provides a clear visual narrative of development trends in South Asia.
This dashboard focuses on food, nutrition, and allergy awareness, enabling users to understand dietary patterns and potential health risks across regions.
- Region-Based Filtering: Interactive selection to analyze food data by region.
- Food & Allergy Analysis: Ranking of dishes based on nutrition or allergy-related measures.
- Nutrient Breakdown: Aggregate view of calories, carbohydrates, protein, fats, and fiber.
- Macronutrient Distribution: Overall macro composition of selected foods.
- Detailed Food Table: Ingredients and serving-size transparency for drill-down analysis.
- Prepared a dataset containing food items, ingredients, nutritional values, and regions.
- Flagged allergen-related ingredients and high-risk items.
- Built interactive filters and bar charts to support exploration and comparison.
- Combined summary visuals with detailed tables for depth.
- Helps users identify high-calorie or allergen-risk foods quickly.
- Supports nutrition planning and health awareness initiatives.
- Balances high-level insights with granular detail for informed decision-making.
This dashboard analyzes health and lifestyle resolutions by age group, revealing how priorities vary across different demographic segments.
- Resolution Adoption Rates: Comparison of health goals (exercise, diet, weight loss, smoking, alcohol reduction) by age group.
- Behavioral Trade-offs: Social media reduction vs. increased family time.
- Narrative Insights: Text annotations summarizing key behavioral patterns.
- Aggregated survey data to calculate resolution percentages by age group.
- Designed grouped and stacked bar charts with consistent color encoding.
- Used small-multiple layouts to make comparisons intuitive.
- Added narrative text to translate visuals into clear insights.
- Helps wellness, healthcare, and marketing teams target age-specific initiatives.
- Supports tailored messaging for fitness, nutrition, and lifestyle campaigns.
- Demonstrates strong data storytelling beyond basic visualization.
This dashboard explores housing affordability across US states, helping buyers and analysts understand where markets are tight versus where buyers have leverage.
- Affordability Heatmap: State-by-state comparison between 2024 and 2025.
- US Housing Map: Geographic view of affordability or inventory conditions.
- Affordable Market Comparison: Bar chart highlighting states with relatively better buyer conditions.
- Narrative Context: Explanations connecting data trends to real buyer experiences.
- Integrated state-level housing indicators such as price trends, inventory, and days on market.
- Created a normalized affordability/leverage metric for comparison.
- Designed heatmaps, filled maps, and bar charts for multi-level analysis.
- Used narrative annotations to guide interpretation.
- Helps buyers and real-estate professionals identify affordable markets.
- Highlights states with higher negotiation power vs. fast-moving markets.
- Supports strategic decision-making for housing searches and policy analysis.
This team project analyzed Airbnb housing data for New York City to understand pricing behavior, room-type performance, and geographic demand patterns using interactive visual analytics.
- Identify factors influencing Airbnb pricing across neighborhoods
- Compare performance of different room types and host distributions
- Highlight high-demand and high-revenue neighborhoods
- Entire home/apt listings generated the highest revenue.
- Manhattan and Brooklyn consistently showed the strongest demand and pricing power.
- Pricing varied significantly by neighborhood, indicating location-driven strategy opportunities.
- Supports hosts and investors in pricing and listing-type decisions.
- Helps identify neighborhoods with higher revenue potential.
- Demonstrates practical use of geospatial analysis and Tableau storytelling.