This commit is contained in:
andrewxhill 2016-04-11 16:06:17 -04:00
commit 8e2e90221b

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@ -2,16 +2,15 @@
This file is for reference purposes only. It is intended for tracking the Data Observatory API functions that should be displayed from the Docs site. Like all API doc, the golden source of the code will live in this repo. I will pull the list of files below into the docs for the output. This file is for reference purposes only. It is intended for tracking the Data Observatory API functions that should be displayed from the Docs site. Like all API doc, the golden source of the code will live in this repo. I will pull the list of files below into the docs for the output.
## Documenation ## Documentation
### OBS_GetSegmentationSnapshot ### OBS_GetSegmentationSnapshot
API Example: API Example:
```text
https://observatory.cartodb.com/api/v2/sql?q=SELECT%20*%20FROM%20OBS_GetSegmentationSnapshot(CDB_LatLng(40.760410,-73.964242)) https://observatory.cartodb.com/api/v2/sql?q=SELECT%20*%20FROM%20OBS_GetSegmentationSnapshot(CDB_LatLng(40.760410,-73.964242))
```
Response:
_Coming soon_
## OBS_GetDemographicSnapshot ## OBS_GetDemographicSnapshot
@ -29,16 +28,14 @@ OBS_GetDemographicSnapshot({{point geometry}})
#### Parameters #### Parameters
**q**: API Query Request
| Parameter | Description | Example | | Parameter | Description | Example |
|---|:-:|:-:| |---|:-:|:-:|
| account name | The name of your CartoDB account where the Data Observatory has been enabled | example_account | | account name | The name of your CartoDB account where the Data Observatory has been enabled | example_account |
| point geometry | A WKB point geometry. You can use the helper function, CDB_LatLng to quickly generate one from latitude and longitude | CDB_LatLng(CDB_LatLng(40.760410,-73.964242)) | | point geometry | A WKB point geometry. You can use the helper function, CDB_LatLng to quickly generate one from latitude and longitude | CDB_LatLng(CDB_LatLng(40.760410,-73.964242)) |
### API Example ### API Example
```html ```text
https://example_account.cartodb.com/api/v2/sql?q=SELECT * FROM https://example_account.cartodb.com/api/v2/sql?q=SELECT * FROM
OBS_GetDemographicSnapshot(CDB_LatLng(40.760410,-73.964242)) OBS_GetDemographicSnapshot(CDB_LatLng(40.760410,-73.964242))
``` ```
@ -46,100 +43,3 @@ OBS_GetDemographicSnapshot(CDB_LatLng(40.760410,-73.964242))
### API Response ### API Response
[Click to expand](https://gist.github.com/ohasselblad/c9e59a6e8da35728d0d81dfed131ed17) [Click to expand](https://gist.github.com/ohasselblad/c9e59a6e8da35728d0d81dfed131ed17)
```json
{
rows: [{
total_pop: 0.0367277137353356,
male_pop: 0.0121879169091962,
female_pop: 0.0245397968261394,
median_age: 50.4,
white_pop: 0.0242118708106454,
black_pop: 0.000710506366903814,
asian_pop: 0.00923658276974959,
hispanic_pop: 0.00256875378803687,
amerindian_pop: 0,
other_race_pop: 0,
two_or_more_races_pop: 0,
not_hispanic_pop: 0.0341589599472988,
not_us_citizen_pop: null,
workers_16_and_over: null,
commuters_by_car_truck_van: null,
commuters_drove_alone: null,
commuters_by_carpool: null,
commuters_by_public_transportation: null,
commuters_by_bus: null,
commuters_by_subway_or_elevated: null,
walked_to_work: null,
worked_at_home: null,
children: null,
households: 0.0218617343662712,
population_3_years_over: null,
in_school: null,
in_grades_1_to_4: null,
in_grades_5_to_8: null,
in_grades_9_to_12: null,
in_undergrad_college: null,
pop_25_years_over: 0.0324646755339127,
high_school_diploma: 0.000655852030988136,
less_one_year_college: 0.00131170406197627,
one_year_more_college: 0.00109308671831356,
associates_degree: 0,
bachelors_degree: 0.0228455124127534,
masters_degree: 0.003224605819025,
pop_5_years_over: null,
speak_only_english_at_home: null,
speak_spanish_at_home: null,
pop_determined_poverty_status: null,
poverty: null,
median_income: 64583,
gini_index: 0.4855,
income_per_capita: 71109,
housing_units: 0.0390231958437941,
vacant_housing_units: 0.0171614614775229,
vacant_housing_units_for_rent: 0,
vacant_housing_units_for_sale: 0,
median_rent: 1589,
percent_income_spent_on_rent: 41.7,
owner_occupied_housing_units: 0.00803418737960467,
million_dollar_housing_units: 0.00136635839789195,
mortgaged_housing_units: 0.00535612491973645,
pop_15_and_over: null,
pop_never_married: null,
pop_now_married: null,
pop_separated: null,
pop_widowed: null,
pop_divorced: null,
commuters_16_over: 0.0286388720198153,
commute_less_10_mins: 0.00207686476479576,
commute_10_14_mins: 0.000710506366903814,
commute_15_19_mins: 0.00601197695072458,
commute_20_24_mins: 0.00131170406197627,
commute_25_29_mins: 0.00114774105422924,
commute_30_34_mins: 0.00885400241833984,
commute_35_44_mins: 0.00519216191198941,
commute_45_59_mins: 0,
commute_60_more_mins: 0.00333391449085636,
aggregate_travel_time_to_work: null,
income_less_10000: 0.00191290175704873,
income_10000_14999: 0,
income_15000_19999: 0,
income_20000_24999: 0.00377114917818178,
income_25000_29999: 0,
income_30000_34999: 0.000710506366903814,
income_35000_39999: 0,
income_40000_44999: 0,
income_45000_49999: 0.00300598847536229,
income_50000_59999: 0.000983778046482204,
income_60000_74999: 0.000655852030988136,
income_75000_99999: 0.000874469374650848,
income_100000_124999: 0.00136635839789195,
income_125000_149999: 0.00235013644437415,
income_150000_199999: 0.00333391449085636
}],
time: 0.192,
fields: {
...
}
}
```