# data[].attributes.body
Could use a prompt on the download feature to remind users that the metadata are there on the main page :)

# data[].attributes.headline
Once I select sites and a contaminant class, it would not let me back out and see all of the rest of the contaminant classes to make new selections. I had to go back to the landing page and start over.

# data[].attributes.subject
Once I select sites and a contaminant class, it would not let me back out and see all of the rest of the contaminant classes to make new selections. I had to go back to the landing page and start over.

# data[].attributes.headline
Description of the contaminant classes would be helpful. Info on the risks and sources of these contaminants would be useful for users that are not as familiar (or did I miss an area where this is already included?)

# data[].attributes.subject
Description of the contaminant classes would be helpful. Info on the risks and sources of these contaminants would be useful for users that are not as familiar (or did I miss an area where this is already included?)

# data[].attributes.headline
For the complexity of the underlying data, this tool has a very thoughtful balance of visual simplicity  and functionality  - well done on that :)

# data[].attributes.subject
For the complexity of the underlying data, this tool has a very thoughtful balance of visual simplicity  and functionality  - well done on that :)

# data[].attributes.headline
Is it possible to add built-in section tools that correspond to the 5 regions of interest for Mussel Watch

# data[].attributes.subject
Is it possible to add built-in section tools that correspond to the 5 regions of interest for Mussel Watch

# data[].attributes.headline
Can we visualize multiple contaminant groups at once?

# data[].attributes.subject
Can we visualize multiple contaminant groups at once?

# data[].attributes.headline
The map interface is clear and has relevant features displayed. 

# data[].attributes.subject
The map interface is clear and has relevant features displayed. 

# data[].attributes.body
Really nice!

# data[].attributes.headline
Sometimes, the selection tool is not working. First, it worked for selecting Lk MI site. Then trying to change the selection, it still holds onto the previous selection for looking at data in the visualizations on the left

# data[].attributes.subject
Sometimes, the selection tool is not working. First, it worked for selecting Lk MI site. Then trying to change the selection, it still holds onto the previous selection for looking at data in the visualizations on the left

# data[].attributes.headline
Is there a way to change the contaminant group after defining a region of interest? This did not seem to work

# data[].attributes.subject
Is there a way to change the contaminant group after defining a region of interest? This did not seem to work

# data[].attributes.headline
The mapper isn't really working well for us.  When I select sites it seems like it's trying to refresh the number of samples (but that doesn't start until about 30 seconds in), and then it hangs on the code step (COUNT({OBJECTID}))

# data[].attributes.subject
The mapper isn't really working well for us.  When I select sites it seems like it's trying to refresh the number of samples (but that doesn't start until about 30 seconds in), and then it hangs on the code step (COUNT({OBJECTID}))

# data[].attributes.headline
Clicking on a point in the concentration by year plot could give the location attributes (e.g. a high result or outliers)

# data[].attributes.subject
Clicking on a point in the concentration by year plot could give the location attributes (e.g. a high result or outliers)

# data[].attributes.headline
In bar graphs for different sample media, it would be useful to add in the number of samples and sites in the mouse over feature. Without this, the trends are difficult to interpret.

# data[].attributes.subject
In bar graphs for different sample media, it would be useful to add in the number of samples and sites in the mouse over feature. Without this, the trends are difficult to interpret.

# data[].attributes.headline
For time series summary, can you subset to only locations that were visited repeatedly?

# data[].attributes.subject
For time series summary, can you subset to only locations that were visited repeatedly?

# data[].attributes.headline
When we selected each one of the sites in PR, it showed 88 oyster samples and 33 sed sample, but when we select all three it still shows that same number of samples. This seems wrong...? 

# data[].attributes.subject
When we selected each one of the sites in PR, it showed 88 oyster samples and 33 sed sample, but when we select all three it still shows that same number of samples. This seems wrong...? 

# data[].attributes.body
I can't see the map!