write the pollution rate of Meghalaya and anuranchal pradesh
before and after diwali 2020 ... if anyone don't want to make presentation so tell this only
Answers
Answer:
AIR POLLUTION refers to the release of pollutants into the air that is detrimental to human health and the planet as a whole.
Today air pollution has been one of the significant problems to deal with for any nation. In South Asia, it is ranked as the sixth most dangerous killer.
One does not realize the harmful effects of a problem if he/she has not experienced it in the first place.
Take Delhi, for instance, we all have experienced what it feels like inhaling in the ‘deadly’ smog that remained for about a week, after Diwali. Citizens were advised not to leave their homes and were asked to wear masks whenever going outside. Looking outside the window made me feel like I was living in a gas chamber. Low visibility, a high number of deaths, etc. were the effects of pollution.
Being a data analysis and data science enthusiast, I decided to analyze the air quality data of my own country to find some underlying principles or patterns which might give me an insight into how severe the problem is and I must say the results were worth sharing. So, here I am writing this article to share my approach and what I analyzed from the data and to also make people aware of the enormous problem our country is facing.
The Approach
The following data analysis is carried out in python, and the code can be downloaded from the Github repository: Air quality analysis
Data
This data is a cleaner version of the Historical Daily Ambient Air Quality Data released by the Ministry of Environment and Forests and Central Pollution Control Board of India under the National Data Sharing and Accessibility Policy (NDSAP).
The dataset contains the following features :
stn_code : Station code. A code is given to each station that recorded the data.
sampling_date: The date when the data was recorded.
state: It represents the states whose air quality data is measured.
location: It represents the city whose air quality data is measured.
agency: Name of the agency that measured the data.
type: The type of area where the measurement was made.
so2: The amount of Sulphur Dioxide measured.
no2: The amount of Nitrogen Dioxide measured
rspm: Respirable Suspended Particulate Matter measured.
spm: Suspended Particulate Matter measured.
location_monitoring_station: It indicates the location of the monitoring area.
pm2_5: It represents the value of particulate matter measured.
date: It represents the date of recording (It is a cleaner version of ‘sampling_date’ feature)