ANALYSIS AND VISUALIZATION OF POLLUTANTS IN INDIAN CITIES. BY:- TEAM 21.
Analysis and Visualization of Hourly-Pollutants-Levels-In-Indian-Cities
CONTEXT: Hourly data for levels of different pollutants (CO, SO2 etc) for few Indian cities.
DESCRIPTION: This Data set consists of hourly pollution levels in mostly populated cities in India.Our data set consists of details about city,Country,id,last update,pollutant avg,pollutant max, pollutant min,state,station.Script to fetch and store live pollution data of Indian cities.We are analysing the dataset by preprocessing and cleaning the dataset and visualizing the data in the form of graphs(interactively) to show the level of pollutant-ids in different cities.By using the above details,we can measure pollutant levels in major cities(smart) and take appropriate actions so that government can control pollution upto certain extent.By doing this,we can save our environment.
This dataset is taken from kaggle.
PROJECT IS DIVIDED AMONG:
VISUALIZATION & CODING BY:-P.JYOTHI & K. BHARGAVI
PRESENTATIONS BY:MAHAMOOD & T.PRASAD
DATA ANALYSIS BY:-CH.ABHIGNA
TECHNOLOGY USED: 1)PANDAS
USED BY: We are trying to implement visualization more interactively using geopandas.Our project can be used by pollutant checkers to identify the maximum and minimum pollutant levels in Indian cities.Our interactive Visualizations using geopandas may become a easier tool to identify the pollutant levels.
CONCLUSION: By this dataset,we analyse and visualize the level of pollutants in mostly polluted cities by using previous data.Data analysis and data visualization is done using python.