1. Which dataset did you use? India Air Quality Index from Kaggle 2. How did you analyze or prepare the data? I used Auto-Insights and the AI-Assistant to gain few insights and build dashboard based on the inputs. 3. Who is the intended audience for your visualization? The target audience includes policymakers,…
This set of dashboards provides a comprehensive and interactive view of business performance, focusing on key areas such as sales, revenue, profitability, customer behavior, and marketing effectiveness. It is designed to support data-driven decision-making by presenting high-level KPIs alongside detailed analytical…
1. Which dataset did you use? I used an energy dataset in Excel format that contains country-wise details on energy production, consumption, and CO₂ emissions across multiple sources such as Coal, Hydro, Nuclear, Solar, Wind, and Natural Gas. 2. How did you analyze or prepare the data? I cleaned and structured the data,…
Check out this fun data viz I made for James Bond
1. Which dataset did you use? I used the “Data Center Cold Source Control Dataset” from Kaggle. This dataset represents the operational environment of a modern data center cooling system, focusing on the control of cold source components such as chillers and air handling units (AHUs). It contains 3,498 hourly time-series…
Built on my own dataset — AAA Reviews and Invoices — this dashboard was designed for a Sales & Marketing VP who needs fast, authoritative answers without switching tools, digging through reports, or losing the narrative. To power the analysis, I built a suite of custom calculations covering sales performance,…
1. Which dataset did you use? Custom Dummy U.S. Judiciary dataset prepared for this Hackathon using LLM. 2. How did you analyze or prepare the data? I built a single integrated dataset, joined case/event/outcome/capacity/geography/timetables, standardized U.S. terminology, and created calculated KPIs. 3. Who is the…
Welcome to Value Chain Bridge! This dashboard breaks down departmental silos by integrating Frontend Marketing (RFM), Inventory Diagnostics (ABC/XYZ/FSD/PLC), and Backend Procurement (A.T. Kearney's Chessboard) into a single, interactive What-If Simulation Engine. By adjusting parameters such as the target multiplier,…
1. Which dataset did you use? I used multiple datasets related to climate, energy, and geopolitics: OWID_CO2_DATA (owid-co2-data.csv) → Contains country-wise CO₂ emissions, per capita metrics, fossil fuel dependency, renewable energy, and related environmental indicators. ACLED_CONFLICTS (acled_conflicts.csv) → Contains…