Open Data - Hong Kong Air Quality & SO2 conentration
Recently, I have attended the Open Data Hackathon 2016 organized in Hong Kong, and join a team with others from different backgrounds. It is really a great opportunity to learn from the experienced, how they process the data with different kinds of exploration techniques, visualize and present the analytic results. The most valuable is to know a new technique, Autoregression to apply on the time series data. Previously, I usually adopt the multiple linear regression on the non-time-series data to investigate the factors effecting on dependent variables.
Additionally, our team was focusing on the air pollution in Hong Kong and wished to figure out how the containment gas was dependent of policy, sources and environment so as to think a series of improvement way or policy to alleviate the problems. Of course, there were only limited time and resources, it was ideal to finish within one day. In order to explore such data, we selected one of the polluted air, Sulphur dioxide to study. However, we still obtain some interested finding from the air quality data measured in several monitoring station opened by government.
After the event, my friend and I are still curious about the results, therefore, we wish to figure out the reasons and put this information in forms of graphics to share to public. Thanks to D3.js and cloud service, I visualized the how the time effects on Sulphur dioxide concentration in terms of hourly and weekday in the website.
You might discover that average of SO2 concentration increase suddenly during 03:00 to 04:00. This pattern occurs in each station except the Mongkok during 2011-2015. Same phenomenon even exists in every recent year. It is quite interesting and we still figure out the reasons bringing about such results.
Please feel free to leave your comments or explanation! It may be the one of direction to investigate the patterns such that improving the air quality in Hong Kong.
/** Updated on 25 June 2016 **/
I have uploaded the graph created with Open Source Projects: plotly which is powerful and have a user-friendly interface!
Additionally, our team was focusing on the air pollution in Hong Kong and wished to figure out how the containment gas was dependent of policy, sources and environment so as to think a series of improvement way or policy to alleviate the problems. Of course, there were only limited time and resources, it was ideal to finish within one day. In order to explore such data, we selected one of the polluted air, Sulphur dioxide to study. However, we still obtain some interested finding from the air quality data measured in several monitoring station opened by government.
After the event, my friend and I are still curious about the results, therefore, we wish to figure out the reasons and put this information in forms of graphics to share to public. Thanks to D3.js and cloud service, I visualized the how the time effects on Sulphur dioxide concentration in terms of hourly and weekday in the website.
Below is the snapshot of the web pages:
(P.S. The website has been closed and no longer to work and please see the latest update)
You might discover that average of SO2 concentration increase suddenly during 03:00 to 04:00. This pattern occurs in each station except the Mongkok during 2011-2015. Same phenomenon even exists in every recent year. It is quite interesting and we still figure out the reasons bringing about such results.
Please feel free to leave your comments or explanation! It may be the one of direction to investigate the patterns such that improving the air quality in Hong Kong.
/** Updated on 25 June 2016 **/
I have uploaded the graph created with Open Source Projects: plotly which is powerful and have a user-friendly interface!
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