Difference between revisions of "Visual findings"

From Visual Analytics and Applications
Jump to navigation Jump to search
Line 83: Line 83:
 
[[File:Chemical reading Dec.png|1100px]]
 
[[File:Chemical reading Dec.png|1100px]]
  
 +
 +
[[File:Chemical readings calendar heat map.png|1200px]]
 +
 +
As depicted in the calendar heat map for chemical readings, days of maximum chemical readings are as follows:
 +
1. April 15
 +
2. August 1,12 and 13
 +
3. December 2,5,8,11-14,17,18, 23 and 24
 +
 +
I shall further analyse which factory and chemicals contribute to the same below.
  
  

Revision as of 18:10, 7 July 2017


Visual Analytics Science & Technology Challenge 2017 MC2


The Challenge

Data Description

Visual Findings

References and Acknowledgements

 

Visualization Journey through the nature reserve

Sensors operations and performance


Sensor.PNG


Calendar Heat map

This calendar map helps visualize the sensor data across the days of April, August and December. The sum of recordings per day has been used to plot this map. As can be seen clearly, the days in color grey represent low or no(zero) readings. These days are :

1. April: 2nd and 6th

2. August: 2nd, 4th and 7th

3. December: 2nd and 7th


Analysis of Chemical readings

The following graphs reveal that the chemical AGOC-3A has been emitted the most across all three months. These are low-VOC and zero-VOC solvents. These solvents are less harmful to humans and environmental health.

December readings show a unsual hike in the emission of Methylosmolene. This chemical has toxic side effects in vertebrates and hence harmful.

Chemical reading APril.png


Chemical reading August.png


Chemical reading Dec.png


Chemical readings calendar heat map.png

As depicted in the calendar heat map for chemical readings, days of maximum chemical readings are as follows: 1. April 15 2. August 1,12 and 13 3. December 2,5,8,11-14,17,18, 23 and 24

I shall further analyse which factory and chemicals contribute to the same below.


Analysis of Factory Emissions

Wind Influence on Sensors is depicted by the following graph


Q3.png