In this paper, the data analysis, and its visualization related to air quality in India is studied. For data visualization and analysis, multifarious languages are available such as Python, R, etc. Most of the researchers utilized the R programming language as it has better-inbuilt tools as compared to the python language. So, here we have also considered the R language for the data analysis and data visualization process. Further, the Dataset “Air Quality Data in India (2015 - 2020)” has been used for the analysis and visualization of air quality. Mainly four parameters are focused for the discussion of the air quality of cities in India. The first parameter is Particulate Matter 2.5(PM 2.5). It has a diameter less than 2.5 micrometers. The second parameter is AQI (Air Quality Index). The third parameter is Particulate Matter-10(PM 10) having diameter less than ten micrometers. The last one is O3(Ozone gas). Some major causes and its constructive measures are also discussed.

Data visualization; R language; Particulate Matter 2.5; AQI; Particulate Matter-10; ozone gas