A tool designed to power exploratory data analysis, on airQ collected Air Quality Indicator Data.
Visualization of Air Quality Indication Dataset collected by airQ to get deeper insight, written with :heart:
Accompanying website for Visualization of Air Quality, Coming soon ... :boss:
Prior to it, I wrote one simple data collection module, which collects Air Quality Indication Data from Govt. Of India's Open Data Platform.
Now for getting a peek into that collected dataset, I'm writing this module, which can generate animated plot of pollutants ( i.e. CO, NH3, NO2, OZONE, PM10, PM2.5, SO2 ) for all monitoring stations, from which Pollution Control Board(s) collect data.
This python module is available on PyPI.
$ pip install airQInsight --user
$ python3 -m pip install airQInsight --user # if above one doesn't work
After installing airQInsight, make sure you've put installation path ( which is by default /home/user/.local/bin/ ) in your system PATH variable.
Now it can be invoked using its name directly.
airQInsight - Air Quality Data Visualization System
$ airQInsight `path-to-data-file_( *.json )_` `path-to-sink-directory`
It'd be a good idea to automate this animated plot generation method using systemd, as we did in case of airQ ( which collected Air Quality Indication Data periodically ).
Required UNIT files are supplied here
You'll require to make some changes in order to run this on your environment.
Thanking you :wink:
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Hashes for airQInsight-0.2.5-py3-none-any.whl