The Opioid Environment Policy Scan provides access to data at multiple spatial scales to help characterize the multi-dimensional risk environment impacting opioid use in justice populations across the United States.
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reconcile all non-geom-related variables in CSVs and dictionaries, #69 #70
This discrepancies listed in #69 were resolved through direct changes to the CSV and Data Dictionary files. In some cases an update to the dictionary required further changes in files that didn't previously have an error.
Cascading these changes up to the script(s) that generated the CSVs would be really good in the future, so hopefully this info can be used to do that eventually.
In a number of cases, the dictionaries also didn't agree with the absence/presence of variables in the historical CSVs, so the x presence values were altered to fit the CSV datasets.
No geometry-related fields were touched in this pull request, as that will be handled separately in a more comprehensive way (may require changes to the shapefiles, for example.
This discrepancies listed in #69 were resolved through direct changes to the CSV and Data Dictionary files. In some cases an update to the dictionary required further changes in files that didn't previously have an error.
Cascading these changes up to the script(s) that generated the CSVs would be really good in the future, so hopefully this info can be used to do that eventually.
In a number of cases, the dictionaries also didn't agree with the absence/presence of variables in the historical CSVs, so the
xpresence values were altered to fit the CSV datasets.No geometry-related fields were touched in this pull request, as that will be handled separately in a more comprehensive way (may require changes to the shapefiles, for example.
closes #69.
State
x(field not in CSV)x(field not in CSV)County
Tract
xfor 1980xfor 1990xfor 2000xfor 2000xfor 2010xfor 2010xfor 2010ZTCA
xfor 1980xfor 1990xfor 2000xfor 2010xfor 1980