Data Science Series: Part1: Using Python, Numpy, Pandas, Camelot to extract AQI data for Delhi from reports published as PDF on CPCB website and generate line chart visualization

Preface: With the growing air pollution in India, it has become imperative to monitor the quality of air in different parts of the country to be able to check the volumes of pollution. There was need to standardize the metrics for air pollution hence the Central Pollution Control board in India came up with an Indices that factors in various pollutants in the air (PM2.5, PM10, O3, CO2, CO etc) and give a numeric value indicating the pollution level. CPCB on its website https://cpcb.nic.in publishes reports in PDF format that contains the AQI levels for a single day accross various cities in India.


Objective: The Central Pollution 

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