Update measures_functions.md

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Belén Achaerandio
2016-07-19 12:15:58 +02:00
committed by GitHub
parent 4c434ffb8d
commit a179a46b86

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@@ -15,7 +15,7 @@ The ```OBS_GetUSCensusMeasure(point, measure_name)``` function returns a measure
Name |Description
--- | ---
point | a WGS84 point geometry (the_geom)
measure_name | a human readable name of a US Census variable. The list of measure_names is [available in the glossary](/cartodb-platform/data/glossary/#obsgetuscensusmeasure-names-table).
measure_name | a human readable name of a US Census variable. The list of measure_names is [available in the glossary](/docs/cartodb-platform/data/glossary/#obsgetuscensusmeasure-names-table).
normalize | for measures that are are **sums** (e.g. population) the default normalization is 'area' and response comes back as a rate per square kilometer. Other options are 'denominator', which will use the denominator specified in the [Data Catalog](http://data-observatory.s3.amazonaws.com/observatory.pdf) (optional)
boundary_id | source of geometries to pull measure from (e.g., 'us.census.tiger.census_tract')
time_span | time span of interest (e.g., 2010 - 2014)
@@ -46,7 +46,7 @@ The ```OBS_GetUSCensusMeasure(point, measure_name)``` function returns a measure
Name |Description
--- | ---
polygon | a WGS84 polygon geometry (the_geom)
measure_name | a human readable string name of a US Census variable. The list of measure_names is [available in the glossary](/cartodb-platform/data/glossary/#obsgetuscensusmeasure-names-table).
measure_name | a human readable string name of a US Census variable. The list of measure_names is [available in the glossary](/docs/cartodb-platform/data/glossary/#obsgetuscensusmeasure-names-table).
normalize | for measures that are **sums** (e.g. population) the default normalization is 'none' and response comes back as a raw value. Other options are 'denominator', which will use the denominator specified in the [Data Catalog](http://data-observatory.s3.amazonaws.com/observatory.pdf) (optional)
boundary_id | source of geometries to pull measure from (e.g., 'us.census.tiger.census_tract')
time_span | time span of interest (e.g., 2010 - 2014)