Problem Statement

“AirPure Innovations” is a startup born out of the air quality crisis in India, with 14 cities ranking among the world’s top 20 most polluted urban centers. The company is in the early stages of product development and is unsure whether there is a strong, sustained demand for its air purifier product. Before committing to production and R&D, they need to answer critical questions:

What pollutants or particles should their air purifier target?

What are the most essential features that should be incorporated into the air purifier?

Which cities have the highest demand for air purifiers, and what is the market size in these regions?

How can R&D be aligned with localized pollution patterns?

The urgency is highlighted by real-world examples: biotech entrepreneur Bryan Johnson walked out of a podcast due to poor air quality, and Delhi's Taj Hotels now display AQI readings , emphasizing the growing awareness of air quality in daily life and business decisions.

COO Tony Sharma believes success lies in analyzing three key dimensions of the market. Tony has reached out to Peter Pandey, a Data Analyst, to assist in gathering insights for strategic decisions. The three dimensions to be analyzed are:

Severity Mapping: Identify cities experiencing persistent or worsening AQI (Air Quality Index) levels.

Health Impact Correlation: Quantify the health burden due to pollution and its impact on consumers' well-being.

Demand Triggers: Examine the relationship between pollution spikes and shifts in consumer behavior related to air purifier demand.

While searching for reliable, real-time AQI data, the team discovered the “Dataful” platform, which provides datasets essential for answering these questions.