https://github.com/itzmeanjan/airq-insight

Works on Air Quality Indication Dataset collected by airQ to give deeper insight, written with :heart: using Python
https://github.com/itzmeanjan/airq-insight

airq golden-temple-amritsar graphs monitoring-station plotting pollution-levels python

Last synced: 28 days ago
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Works on Air Quality Indication Dataset collected by airQ to give deeper insight, written with :heart: using Python

• Host: GitHub
• URL: https://github.com/itzmeanjan/airq-insight
• Owner: itzmeanjan
• License: mit
• Created: 2019-07-28T02:47:58.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2019-12-16T07:46:04.000Z (about 5 years ago)
• Last Synced: 2024-10-12T10:34:56.589Z (3 months ago)
• Topics: airq, golden-temple-amritsar, graphs, monitoring-station, plotting, pollution-levels, python
• Language: Python
• Homepage:
• Size: 99.9 MB
• Stars: 1
• Watchers: 3
• Forks: 0
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# airQ-insight

![airQuality ( PM10 ) at Alipur, Delhi-DPCC, Delhi](airQualityAlipur,Delhi-DPCC,Delhi_PM10_.gif)

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 ...** :+1:

## motivation

Prior to it, I wrote one simple data collection module, which collects Air Quality Indication Data from Govt. Of India's [Open Data Platform](https://data.gov.in). 

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.

## installation

This python module is available on PyPI.

```bash

$ pip install airQInsight --user

$ python3 -m pip install airQInsight --user # if above one doesn't work

```

## usage

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.

```bash

$ airQInsight

airQInsight - Air Quality Data Visualization System

	$ airQInsight `path-to-data-file_( *.json )_` `path-to-sink-directory`

Bad Input

```

## automation

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](./systemd)

You'll require to make some changes in order to run this on your environment.

Thanking you :wink: