Difference between revisions of "ISSS608 2017-18 T3 Assign Saurav Jhajharia (Q2)"
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==Q2== | ==Q2== | ||
<b> What anomalies do you find in the waterway samples dataset? How do these affect your analysis of potential problems to the environment? | <b> What anomalies do you find in the waterway samples dataset? How do these affect your analysis of potential problems to the environment? | ||
| − | Is the Hydrology Department collecting sufficient data to understand the comprehensive situation across the Preserve? What changes would you propose to make in the sampling approach to best understand the situation? | + | Is the Hydrology Department collecting sufficient data to understand the comprehensive situation across the Preserve? What changes would you propose to make in the sampling approach to best understand the situation? </b> |
==Anomalies (Chemical wise)== | ==Anomalies (Chemical wise)== | ||
There was a chemical wise filtration done to remove chemicals that showed no major unconventional change in values over the years or had no unusual spike in their dataset. Any spike, as shown below, as per the location it is present in, was considered to be worth noting down for investigators to take a deeper look into. | There was a chemical wise filtration done to remove chemicals that showed no major unconventional change in values over the years or had no unusual spike in their dataset. Any spike, as shown below, as per the location it is present in, was considered to be worth noting down for investigators to take a deeper look into. | ||
| − | [[File: | + | [[File:Q2(1).png|1100px]] |
Revision as of 19:41, 9 July 2018
VAST Challenge 2018 MC2: Like a Duck to Water
Q2
What anomalies do you find in the waterway samples dataset? How do these affect your analysis of potential problems to the environment? Is the Hydrology Department collecting sufficient data to understand the comprehensive situation across the Preserve? What changes would you propose to make in the sampling approach to best understand the situation?
Anomalies (Chemical wise)
There was a chemical wise filtration done to remove chemicals that showed no major unconventional change in values over the years or had no unusual spike in their dataset. Any spike, as shown below, as per the location it is present in, was considered to be worth noting down for investigators to take a deeper look into.
.png)
