USGS-R / WQ-Review

Toolbox for discrete water-quality data review and exploration.
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Table issues? #93

Closed mdpetkew closed 8 years ago

mdpetkew commented 8 years ago

When pulling Replicate and Fil vs. Unf tables, I see the same sample repeated multiple (2 to 4) times. Everything is the same for the two (to four) rows of data. Is anyone else seeing this?

tjmills commented 8 years ago

Hi,

Yes this is an ongoing "issue" that I am not sure exactly how to deal with. There is a difference between the data somwhere, probably in a sample comment. Can you send me the data using the "save/load" tab in the GUI, or export it if using R?

tjmills commented 8 years ago

This can be fixed for tables where comments are not shown, such as the QAQC tables. I iwll fix using unique(). This will be updated in the next release

tjmills commented 8 years ago

Done

mdpetkew commented 8 years ago

Joe - just checking, so are you saying that it will be fixed for QAQC tables, but can't be corrected for the data tables (wide and long)? Do you think this a WQ-Review issue or a NWIS issue? I see the differences are that lats, longs, and HUC codes are listed for one set of data and not the other set of data. All other data are equal for both sets.

Thanks for any information.

Matt

On Mon, Feb 8, 2016 at 11:00 AM, T. Joe Mills notifications@github.com wrote:

This can be fixed for tables where comments are not shown, such as the QAQC tables. I iwll fix using unique(). This will be updated in the next release

— Reply to this email directly or view it on GitHub https://github.com/USGS-R/WQ-Review/issues/93#issuecomment-181419282.


Matthew D. Petkewich U.S. Geological Survey Stephenson Center, Suite 129 720 Gracern Road Columbia, SC 29210

803-750-6171 (office) 803-727-9041 (cell)

803-750-6181 (fax)

tjmills commented 8 years ago

Yes I am saying that it will be fixed in the QAQC tables. This is not exactly an NWIS "issue" its just that when you combine multiple tables from NWIS, some tables, like the comments, may have multiple values for the same result.

I will look into it some more and see if there is a different way to join the tables to combine the information