ISSS608 2017-18 T3 Assign Harisingh Q2

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Pic.jpg ISSS608 Visual Analytics and Applications - VAST Challenge 2018 MC2

Problem Background

Data Overview & Preparation

[Q1] Chemical Contamination

[Q2] Anomalies in Data

[Q3] Concerns for Wildlife

 

In the previous sections, we consolidated our understanding in different aspects for given problem. We started by identifying key data collection issues, followed by trend analysis of number of samples collected for different chemicals. In the process, we also filtered chemicals of interest for further analysis.

Here is a summary of key issues in data sampling, which requires special attention from Hydrology Department in the future:

  • Most chemicals have missing readings for many years, leading to sparse data.
  • Few chemicals have missing readings only in recent years, the potential period for dumping.
  • Inconsistent number of readings of a chemical across locations, leading to location-specific sparsity in data.
  • For Achara, Decha, and Tansanee, readings have only been collected in recent past (2009 onwards). It would have helped to understand the overall pattern since 1998 in these locations.

With a solid background on data sampling, we will next focus our attention on remaining chemicals and try to understand anomalies in form of unusual patterns in actual readings.

The below line chart clearly shows that Ammonium observed highest concentration in two locations, namely Decha and Tansanee, in years 2010 and 2014 respectively.


Dashboard for Analyzing Changes in Readings

Dashboard for Analyzing Peaks in Readings