India Air Quality Trend by Kaggle | Environmental and Climate Sciences

About this Dataset

India Air Quality Trend

Comparing 2 Years of Air Quality Data from 2018 - 2020

About this dataset

This dataset provides researchers a comprehensive look at air quality in India from 2018-2020. Across the many different locations included, insight can be gathered into the trends for levels of nitrogen oxides, Sulphur dioxide, Aviation degradiation factor, Carbon monoxide and Suspended Particular Matter (SPM). What's more – this powerful dataset also highlights city-level variation in these figures to provide a unique perspective on localised air pollution levels. With data points ranging from populous megacities to rural villages, this resource will empower any researcher interested in studying India's air quality over recent years

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How to use the dataset

How to use this dataset

This dataset provides a comprehensive overview of air quality in India from 2018-2020. To get the most out of this dataset, we recommend following these steps:

Start by exploring the overall trends of each pollutant across India. This can be done by creating line graphs displaying yearly or monthly averages for each pollutant in each location that is included in the dataset.

Once you have a better understanding of how air pollution levels vary across India, it is then recommended to drill down and look at more specific areas such as states or cities. This can be done by creating bar charts for different pollutants comparing various locations within India so that their individual characteristics can be observed and compared against each other better.

To gain further insight into the data, researchers may find it beneficial to investigate the relationship between different types of pollutants (e.g., the relationship between nitrogen oxides and carbon monoxide). Doing so allows them to study how pollutants interact with one another and whether they have an effect on one another’s concentrations.

The last step would include studying daily readings for selected cities and correlating these data points with local weather conditions such as humidity, wind speed etc.. This will help understand if there are any correlations between weather factors and air pollution so potential measures could be taken to reduce air pollution when certain weather conditions arise again in future years..

With these steps followed properly, you should have a thorough understanding into the patterns found within Indian Air Quality over recent years!

Research Ideas

Analyzing geographical patterns in air pollution levels: This data set can be used to determine how levels of specific pollutants vary by region in India over the course of 2018-2020. Researchers can also use this data to identify any correlations between the different types of pollutants and overall air quality.

Quantifying the effects of policy initiatives: Using this dataset, researchers can assess how well government policies have improved air quality over time in India, particularly by looking at changes from 2018-2020.

Comparing air pollution levels across major Indian cities: The dataset offers a detailed look at air pollution levels across major cities throughout India, which is useful for comparing differences between individual locations and for gaining an overview of regional trends over time. This can help analysts understand the severity and distribution of environmental issues better and point out potential areas that need more attention or intervention

Acknowledgements

If you use this dataset in your research, please credit the original authors.
Data Source

License

License: CC0 1.0 Universal (CC0 1.0) - Public Domain Dedication
No Copyright - You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission. See Other Information.

Columns

Acknowledgements

If you use this dataset in your research, please credit the original authors.
If you use this dataset in your research, please credit .

Tables

Parks And The Pandemic Pud Data

@kaggle.thedevastator_india_air_quality_trend.parks_and_the_pandemic_pud_data

936.96 KB
98 rows
1249 columns


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