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Data release #1438
Data release #1438
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@@ -219,11 +162,6 @@ | |||
} | |||
}, | |||
"facets": { | |||
"1042817753": { |
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deletion for deprecated imports.
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thanks for the update. please keep an eye out on some of these changes when we do the website release @chejennifer @hareesh-ms
@@ -3049,6 +3049,9 @@ | |||
"Count_HousingUnit_2010To2014Date_OccupiedHousingUnit", | |||
"Count_HousingUnit_2010To2014Date_OwnerOccupied", | |||
"Count_HousingUnit_2010To2014Date_RenterOccupied", | |||
"Count_HousingUnit_2010To2017Date_OccupiedHousingUnit", |
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were there some census updates in this release too?
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There was subject table(S2502) CL submission which got built in the last UScensus run.
@@ -6022,17 +6037,24 @@ | |||
"Count_Person_18OrMoreYears_Employed_InLaborForce_NoHealthInsurance", | |||
"Count_Person_18OrMoreYears_Employed_InLaborForce_WithHealthInsurance", | |||
"Count_Person_18OrMoreYears_Female", | |||
"Count_Person_18OrMoreYears_FoodInsecurity_AsAFractionOf_Count_Person_18OrMoreYears", |
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is this addition expected?
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New variable as part of CDC500 import.
}, | ||
"metadata": { | ||
"importName": "CDC500", | ||
"provenanceUrl": "https://www.cdc.gov/places/index.html", | ||
"measurementMethod": "AgeAdjustedPrevalence", | ||
"observationPeriod": "P1Y" | ||
"observationPeriod": "P1Y", | ||
"scalingFactor": "100", |
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lets verify that this results in the right chart render in the release
taking a look at the screenshot diffs, it looks like we've lost data for
is this expected? |
Good catch Jennifer - Eurostat deprecation but AustraliaStatistics isn't..
… Message ID: ***@***.***>
|
oh, looks like the USA unemployment rate ones are also from eurostat deprecation, so probably expected then? (looks like the USA data comes from eurostat & AustraliaStatistics supplies Australia and Australian AA1 places, which do show up in prod) |
goldens needed to be updated because of a bunch of recent data updates (data diffs can be seen here: datacommonsorg/mixer#1438, datacommonsorg/mixer#1439)
goldens needed to be updated because of a bunch of recent data updates (data diffs can be seen here: datacommonsorg/mixer#1438, datacommonsorg/mixer#1439)
* update submodule for release (datacommonsorg#4681) * update NL goldens after mixer push (datacommonsorg#4680) * Adds logging for autocomplete responses. (datacommonsorg#4678) Logs the response count for autocompletion. Staging is not showing any responses. Would like to better understand where the breakdown is occurring. * Exit cdc_services/run.sh when any background process exits (datacommonsorg#4682) This makes startup errors in Mixer or NL servers more obvious. Bug: b/374820494 Reference: https://docs.docker.com/engine/containers/multi-service_container/#use-a-wrapper-script * update nodejs goldens (datacommonsorg#4685) goldens needed to be updated because of a bunch of recent data updates (data diffs can be seen here: datacommonsorg/mixer#1438, datacommonsorg/mixer#1439) * Update submodules (datacommonsorg#4688) * Pin transformers to 4.45.2 (datacommonsorg#4689) Also updates nl goldens * Support schema update mode for data docker (datacommonsorg#4686) Use the `DATA_RUN_MODE` environment variable to decide what mode to pass to run_stats.sh and whether to build embeddings. The mode `schemaupdate` for run_stats.sh is added by datacommonsorg/import#344, which this PR updates the import submodule to include. A docsite page will describe how to pass in this environment variable: datacommonsorg/docsite#527 * Improves Typo recognition for autocomplete (datacommonsorg#4690) This PR modifies the scoring algorithm for place autocomplete to count a small score for non-exact matches, to account for one typo. With these changes, we will favor "San Diego" over "Dieppe" for the query "Sna Die". Prod: https://screenshot.googleplex.com/Bsx2BbyLZArbQuX Local with this change: https://screenshot.googleplex.com/9jHqKb2uHJLz37k Note that "Sne Die" will still go back to "Dieppe" because that's 2 typos, so San Diego is out even if it was returned by google Maps predictions: https://screenshot.googleplex.com/9LViJoVFni3Lui6 Typo check done as a bag of letters with at most off by one. We do this check on top of the Google Maps Predictions which already take into account typo correction. This part is just to choose the best prediction from google maps. Doing this as part of gaps identified in place autocomplete: https://docs.google.com/document/d/15RVckX9ck5eyyhBHW8Nb9lmxPBDPMIeLbax14HbN-GI/edit?tab=t.0 --------- Co-authored-by: chejennifer <[email protected]> Co-authored-by: Gabriel Mechali <[email protected]> Co-authored-by: natalie <[email protected]>
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