From 7effd39f16d0489b5249f362d2df28bd545cf3eb Mon Sep 17 00:00:00 2001 From: Andy Eschbacher Date: Tue, 2 Jan 2018 10:20:59 -0500 Subject: [PATCH 1/3] updates examples to include schema --- doc/02_moran.md | 8 ++++---- doc/04_markov.md | 2 +- doc/11_kmeans.md | 2 +- 3 files changed, 6 insertions(+), 6 deletions(-) diff --git a/doc/02_moran.md b/doc/02_moran.md index e83c2f1..57cf9ba 100644 --- a/doc/02_moran.md +++ b/doc/02_moran.md @@ -37,7 +37,7 @@ SELECT aoi.quads, aoi.significance, c.num_cyclists_per_total_population -FROM CDB_AreasOfInterestLocal('SELECT * FROM commute_data' +FROM cdb_crankshaft.CDB_AreasOfInterestLocal('SELECT * FROM commute_data' 'num_cyclists_per_total_population') As aoi JOIN commute_data As c ON c.cartodb_id = aoi.rowid; @@ -72,7 +72,7 @@ A table with the following columns. ```sql SELECT * -FROM CDB_AreasOfInterestGlobal('SELECT * FROM commute_data', 'num_cyclists_per_total_population') +FROM cdb_crankshaft.CDB_AreasOfInterestGlobal('SELECT * FROM commute_data', 'num_cyclists_per_total_population') ``` ### CDB_AreasOfInterestLocalRate(subquery text, numerator_column text, denominator_column text) @@ -113,7 +113,7 @@ SELECT aoi.quads, aoi.significance, c.cyclists_per_total_population -FROM CDB_AreasOfInterestLocalRate('SELECT * FROM commute_data' +FROM cdb_crankshaft.CDB_AreasOfInterestLocalRate('SELECT * FROM commute_data' 'num_cyclists', 'total_population') As aoi JOIN commute_data As c @@ -150,7 +150,7 @@ A table with the following columns. ```sql SELECT * -FROM CDB_AreasOfInterestGlobalRate('SELECT * FROM commute_data', +FROM cdb_crankshaft.CDB_AreasOfInterestGlobalRate('SELECT * FROM commute_data', 'num_cyclists', 'total_population') ``` diff --git a/doc/04_markov.md b/doc/04_markov.md index a45df59..95137ca 100644 --- a/doc/04_markov.md +++ b/doc/04_markov.md @@ -40,7 +40,7 @@ SELECT m.trend_up, m.trend_down, m.volatility -FROM CDB_SpatialMarkovTrend('SELECT * FROM nyc_real_estate' +FROM cdb_crankshaft.CDB_SpatialMarkovTrend('SELECT * FROM nyc_real_estate' Array['m03y2009','m03y2010','m03y2011','m03y2012','m03y2013','m03y2014','m03y2015','m03y2016']) As m JOIN nyc_real_estate As c ON c.cartodb_id = m.rowid; diff --git a/doc/11_kmeans.md b/doc/11_kmeans.md index 6153010..16c202f 100644 --- a/doc/11_kmeans.md +++ b/doc/11_kmeans.md @@ -58,5 +58,5 @@ A table with the following columns. ```sql SELECT ST_TRANSFORM(the_geom, 3857) as the_geom_webmercator, class -FROM cdb_weighted_mean('SELECT *, customer_value FROM customers','customer_value','cluster_no') +FROM cdb_crankshaft.cdb_weighted_mean('SELECT *, customer_value FROM customers','customer_value','cluster_no') ``` From e28f00d98b6daef00603afc7ae1e095cb47d22c5 Mon Sep 17 00:00:00 2001 From: Andy Eschbacher Date: Tue, 2 Jan 2018 10:36:10 -0500 Subject: [PATCH 2/3] updates other examples to use correct schema and consistent syntax --- doc/07_gravity.md | 15 +++++++++------ doc/08_interpolation.md | 15 +++++++++++---- doc/09_voronoi.md | 18 +++++++++++++----- doc/13_PIA.md | 14 ++++++++++---- doc/14_densify.md | 20 +++++++++++++++----- doc/15_tinmap.md | 18 +++++++++++++----- doc/18_outliers.md | 6 +++--- 7 files changed, 74 insertions(+), 32 deletions(-) diff --git a/doc/07_gravity.md b/doc/07_gravity.md index e4e439e..47d6db2 100644 --- a/doc/07_gravity.md +++ b/doc/07_gravity.md @@ -54,9 +54,9 @@ with t as ( SELECT array_agg(cartodb_id::bigint) as id, array_agg(the_geom) as g, - array_agg(coalesce(gla,0)::numeric) as w + array_agg(coalesce(gla, 0)::numeric) as w FROM - abel.centros_comerciales_de_madrid + centros_comerciales_de_madrid WHERE not no_cc ), s as ( @@ -67,12 +67,15 @@ SELECT FROM sscc_madrid ) -select +SELECT g.the_geom, - trunc(g.h,2) as h, + trunc(g.h, 2) as h, round(g.hpop) as hpop, - trunc(g.dist/1000,2) as dist_km -FROM t, s, CDB_Gravity1(t.id, t.g, t.w, s.id, s.g, s.p, newmall_ID, 100000, 5000) g + trunc(g.dist/1000, 2) as dist_km +FROM + t, + s, + cdb_crankshaft.CDB_Gravity(t.id, t.g, t.w, s.id, s.g, s.p, newmall_ID, 100000, 5000) as g ``` diff --git a/doc/08_interpolation.md b/doc/08_interpolation.md index c17269e..3fae966 100644 --- a/doc/08_interpolation.md +++ b/doc/08_interpolation.md @@ -44,11 +44,18 @@ Default values: #### Example Usage ```sql -with a as ( - select +WITH a as ( + SELECT array_agg(the_geom) as geomin, array_agg(temp::numeric) as colin - from table_4804232032 + FROM table_4804232032 ) -SELECT CDB_SpatialInterpolation(geomin, colin, CDB_latlng(41.38, 2.15),1) FROM a; +SELECT + cdb_crankshaft.CDB_SpatialInterpolation( + geomin, + colin, + CDB_latlng(41.38, 2.15), + 1) +FROM + a ``` diff --git a/doc/09_voronoi.md b/doc/09_voronoi.md index 1a19103..223f43d 100644 --- a/doc/09_voronoi.md +++ b/doc/09_voronoi.md @@ -27,12 +27,20 @@ PostGIS wil include this in future versions ([doc for dev branch](http://postgis ```sql WITH a AS ( SELECT - ARRAY[ST_GeomFromText('POINT(2.1744 41.403)', 4326),ST_GeomFromText('POINT(2.1228 41.380)', 4326),ST_GeomFromText('POINT(2.1511 41.374)', 4326),ST_GeomFromText('POINT(2.1528 41.413)', 4326),ST_GeomFromText('POINT(2.165 41.391)', 4326),ST_GeomFromText('POINT(2.1498 41.371)', 4326),ST_GeomFromText('POINT(2.1533 41.368)', 4326),ST_GeomFromText('POINT(2.131386 41.41399)', 4326)] AS geomin + ARRAY[ + ST_GeomFromText('POINT(2.1744 41.403)', 4326), + ST_GeomFromText('POINT(2.1228 41.380)', 4326), + ST_GeomFromText('POINT(2.1511 41.374)', 4326), + ST_GeomFromText('POINT(2.1528 41.413)', 4326), + ST_GeomFromText('POINT(2.165 41.391)', 4326), + ST_GeomFromText('POINT(2.1498 41.371)', 4326), + ST_GeomFromText('POINT(2.1533 41.368)', 4326), + ST_GeomFromText('POINT(2.131386 41.41399)', 4326) + ] AS geomin ) SELECT - st_transform( - (st_dump(CDB_voronoi(geomin, 0.2, 1e-9) - )).geom - , 3857) as the_geom_webmercator + ST_TRANSFORM( + (ST_Dump(cdb_crankshaft.CDB_Voronoi(geomin, 0.2, 1e-9))).geom, + 3857) as the_geom_webmercator FROM a; ``` diff --git a/doc/13_PIA.md b/doc/13_PIA.md index c8986e2..155f193 100644 --- a/doc/13_PIA.md +++ b/doc/13_PIA.md @@ -23,11 +23,17 @@ Function to find the [PIA](https://en.wikipedia.org/wiki/Pole_of_inaccessibility #### Example Usage ```sql -with a as( - select st_geomfromtext('POLYGON((-432540.453078056 4949775.20452642,-432329.947920966 4951361.232584,-431245.028163694 4952223.31516671,-429131.071033529 4951768.00415574,-424622.07505895 4952843.13503987,-423688.327170174 4953499.20752423,-424086.294349759 4954968.38274191,-423068.388925945 4954378.63345336,-423387.653225542 4953355.67417084,-420594.869840519 4953781.00230592,-416026.095299382 4951484.06849063,-412483.018546414 4951024.5410983,-410490.399661215 4954502.24032205,-408186.197521284 4956398.91417441,-407627.262358013 4959300.94633864,-406948.770061627 4959874.85407739,-404949.583326472 4959047.74518163,-402570.908447199 4953743.46829807,-400971.358683991 4952193.11680804,-403533.488084088 4949649.89857885,-406335.177028373 4950193.19571096,-407790.456731515 4952391.46015616,-412060.672398345 4950381.2389307,-410716.93482498 4949156.7509561,-408464.162289794 4943912.8940387,-409350.599394983 4942819.84896006,-408087.791091424 4942451.6711778,-407274.045613725 4940572.4807777,-404446.196589102 4939976.71501489,-402422.964843936 4940450.3670813,-401010.654464241 4939054.8061663,-397647.247369412 4940679.80737878,-395658.413346901 4940528.84765185,-395536.852462953 4938829.79565997,-394268.923462818 4938003.7277717,-393388.720249116 4934757.80596815,-392393.301362444 4934326.71675815,-392573.527618037 4932323.40974412,-393464.640141837 4931903.10653605,-393085.597275686 4931094.7353605,-398426.261165985 4929156.87541607,-398261.174361137 4926238.00816416,-394045.059966834 4925765.18668498,-392982.960705174 4926391.81893628,-393090.272694301 4927176.84692181,-391648.240010564 4924626.06386961,-391889.914625075 4923086.14787613,-394345.177314013 4923235.086036,-395550.878718795 4917812.79243978,-399009.463978251 4912927.7157945,-398948.794855767 4911941.91010796,-398092.636652078 4911806.57392519,-401991.601817112 4911722.9204501,-406225.972607907 4914505.47286319,-411104.994569885 4912569.26941163,-412925.513522316 4913030.3608866,-414630.148884835 4914436.69169949,-414207.691417276 4919205.78028405,-418306.141109809 4917994.9580478,-424184.700779621 4918938.12432889,-426816.961458921 4923664.37379373,-420956.324227126 4923381.98014807,-420186.661267781 4924286.48693378,-420943.411166194 4926812.76394433,-419779.45457046 4928527.43466337,-419768.767899344 4930681.94459216,-421911.668097113 4930432.40620397,-423482.386112205 4933451.28047252,-427272.814773717 4934151.56473242,-427144.908678797 4939731.77191996,-428982.125554848 4940522.84445172,-428986.133056516 4942437.17281266,-431237.792396792 4947309.68284815,-432476.889648814 4947791.74800037,-432540.453078056 4949775.20452642))', 3857) as g +WITH a as ( + SELECT + ST_GeomFromText( + 'POLYGON((-432540.453078056 4949775.20452642,-432329.947920966 4951361.232584,-431245.028163694 4952223.31516671,-429131.071033529 4951768.00415574,-424622.07505895 4952843.13503987,-423688.327170174 4953499.20752423,-424086.294349759 4954968.38274191,-423068.388925945 4954378.63345336,-423387.653225542 4953355.67417084,-420594.869840519 4953781.00230592,-416026.095299382 4951484.06849063,-412483.018546414 4951024.5410983,-410490.399661215 4954502.24032205,-408186.197521284 4956398.91417441,-407627.262358013 4959300.94633864,-406948.770061627 4959874.85407739,-404949.583326472 4959047.74518163,-402570.908447199 4953743.46829807,-400971.358683991 4952193.11680804,-403533.488084088 4949649.89857885,-406335.177028373 4950193.19571096,-407790.456731515 4952391.46015616,-412060.672398345 4950381.2389307,-410716.93482498 4949156.7509561,-408464.162289794 4943912.8940387,-409350.599394983 4942819.84896006,-408087.791091424 4942451.6711778,-407274.045613725 4940572.4807777,-404446.196589102 4939976.71501489,-402422.964843936 4940450.3670813,-401010.654464241 4939054.8061663,-397647.247369412 4940679.80737878,-395658.413346901 4940528.84765185,-395536.852462953 4938829.79565997,-394268.923462818 4938003.7277717,-393388.720249116 4934757.80596815,-392393.301362444 4934326.71675815,-392573.527618037 4932323.40974412,-393464.640141837 4931903.10653605,-393085.597275686 4931094.7353605,-398426.261165985 4929156.87541607,-398261.174361137 4926238.00816416,-394045.059966834 4925765.18668498,-392982.960705174 4926391.81893628,-393090.272694301 4927176.84692181,-391648.240010564 4924626.06386961,-391889.914625075 4923086.14787613,-394345.177314013 4923235.086036,-395550.878718795 4917812.79243978,-399009.463978251 4912927.7157945,-398948.794855767 4911941.91010796,-398092.636652078 4911806.57392519,-401991.601817112 4911722.9204501,-406225.972607907 4914505.47286319,-411104.994569885 4912569.26941163,-412925.513522316 4913030.3608866,-414630.148884835 4914436.69169949,-414207.691417276 4919205.78028405,-418306.141109809 4917994.9580478,-424184.700779621 4918938.12432889,-426816.961458921 4923664.37379373,-420956.324227126 4923381.98014807,-420186.661267781 4924286.48693378,-420943.411166194 4926812.76394433,-419779.45457046 4928527.43466337,-419768.767899344 4930681.94459216,-421911.668097113 4930432.40620397,-423482.386112205 4933451.28047252,-427272.814773717 4934151.56473242,-427144.908678797 4939731.77191996,-428982.125554848 4940522.84445172,-428986.133056516 4942437.17281266,-431237.792396792 4947309.68284815,-432476.889648814 4947791.74800037,-432540.453078056 4949775.20452642))', + 3857) as g ), b as ( - select ST_Transform(g, 4326) as g from a + SELECT ST_Transform(g, 4326) as g + FROM a ) -SELECT st_astext(CDB_PIA(g)) from b; +SELECT + ST_AsText(cdb_crankshaft.CDB_PIA(g)) +FROM b ``` diff --git a/doc/14_densify.md b/doc/14_densify.md index 2cec7e6..962ad60 100644 --- a/doc/14_densify.md +++ b/doc/14_densify.md @@ -24,12 +24,22 @@ Returns a table object #### Example Usage ```sql -with data as ( - select - ARRAY[7.0,8.0,1.0,2.0,3.0,5.0,6.0,4.0] as colin, - ARRAY[ST_GeomFromText('POINT(2.1744 41.4036)'),ST_GeomFromText('POINT(2.1228 41.3809)'),ST_GeomFromText('POINT(2.1511 41.3742)'),ST_GeomFromText('POINT(2.1528 41.4136)'),ST_GeomFromText('POINT(2.165 41.3917)'),ST_GeomFromText('POINT(2.1498 41.3713)'),ST_GeomFromText('POINT(2.1533 41.3683)'),ST_GeomFromText('POINT(2.131386 41.413998)')] as geomin +WITH data as ( + SELECT + ARRAY[7.0,8.0,1.0,2.0,3.0,5.0,6.0,4.0] as colin, + ARRAY[ + ST_GeomFromText('POINT(2.1744 41.4036)'), + ST_GeomFromText('POINT(2.1228 41.3809)'), + ST_GeomFromText('POINT(2.1511 41.3742)'), + ST_GeomFromText('POINT(2.1528 41.4136)'), + ST_GeomFromText('POINT(2.165 41.3917)'), + ST_GeomFromText('POINT(2.1498 41.3713)'), + ST_GeomFromText('POINT(2.1533 41.3683)'), + ST_GeomFromText('POINT(2.131386 41.413998)') + ] as geomin ) -select CDB_Densify(geomin, colin, 2) from data; +SELECT cdb_crankshaft.CDB_Densify(geomin, colin, 2) +FROM data ``` diff --git a/doc/15_tinmap.md b/doc/15_tinmap.md index 240acbe..a04c5f3 100644 --- a/doc/15_tinmap.md +++ b/doc/15_tinmap.md @@ -26,11 +26,19 @@ Returns a table object #### Example Usage ```sql -with data as ( - select - ARRAY[7.0,8.0,1.0,2.0,3.0,5.0,6.0,4.0] as colin, - ARRAY[ST_GeomFromText('POINT(2.1744 41.4036)'),ST_GeomFromText('POINT(2.1228 41.3809)'),ST_GeomFromText('POINT(2.1511 41.3742)'),ST_GeomFromText('POINT(2.1528 41.4136)'),ST_GeomFromText('POINT(2.165 41.3917)'),ST_GeomFromText('POINT(2.1498 41.3713)'),ST_GeomFromText('POINT(2.1533 41.3683)'),ST_GeomFromText('POINT(2.131386 41.413998)')] as geomin +WITH data as ( + SELECT + ARRAY[7.0,8.0,1.0,2.0,3.0,5.0,6.0,4.0] as colin, + ARRAY[ST_GeomFromText('POINT(2.1744 41.4036)'), + ST_GeomFromText('POINT(2.1228 41.3809)'), + ST_GeomFromText('POINT(2.1511 41.3742)'), + ST_GeomFromText('POINT(2.1528 41.4136)'), + ST_GeomFromText('POINT(2.165 41.3917)'), + ST_GeomFromText('POINT(2.1498 41.3713)'), + ST_GeomFromText('POINT(2.1533 41.3683)'), + ST_GeomFromText('POINT(2.131386 41.413998)')] as geomin ) -select CDB_TINmap(geomin, colin, 2) from data; +SELECT cdb_crankshaft.CDB_TINmap(geomin, colin, 2) +FROM data ``` diff --git a/doc/18_outliers.md b/doc/18_outliers.md index f557529..29bbc70 100644 --- a/doc/18_outliers.md +++ b/doc/18_outliers.md @@ -43,7 +43,7 @@ With a table `website_visits` and a column of the number of website visits in un ```sql SELECT id, - CDB_StaticOutlier(visits_10k, 11.0) As outlier, + cdb_crankshaft.CDB_StaticOutlier(visits_10k, 11.0) As outlier, visits_10k FROM website_visits ``` @@ -93,7 +93,7 @@ WITH cte As ( unnest(Array[1,3,5,1,32,3,57,2]) As visits_10k ) SELECT - (CDB_PercentOutlier(array_agg(visits_10k), 2.0, array_agg(id))).* + (cdb_crankshaft.CDB_PercentOutlier(array_agg(visits_10k), 2.0, array_agg(id))).* FROM cte; ``` @@ -144,7 +144,7 @@ WITH cte As ( unnest(Array[1,3,5,1,32,3,57,2]) As visits_10k ) SELECT - (CDB_StdDevOutlier(array_agg(visits_10k), 2.0, array_agg(id))).* + (cdb_crankshaft.CDB_StdDevOutlier(array_agg(visits_10k), 2.0, array_agg(id))).* FROM cte; ``` From 92becac280e9105810cb5789e983710c91ab9565 Mon Sep 17 00:00:00 2001 From: Andy Eschbacher Date: Mon, 8 Jan 2018 16:30:03 -0500 Subject: [PATCH 3/3] syntax fixes / function name fix --- doc/02_moran.md | 33 ++++++++++++++++++++++----------- doc/04_markov.md | 8 ++++++-- doc/11_kmeans.md | 36 ++++++++++++++++++++++-------------- doc/12_segmentation.md | 8 ++++---- 4 files changed, 54 insertions(+), 31 deletions(-) diff --git a/doc/02_moran.md b/doc/02_moran.md index 57cf9ba..683bd2f 100644 --- a/doc/02_moran.md +++ b/doc/02_moran.md @@ -37,8 +37,10 @@ SELECT aoi.quads, aoi.significance, c.num_cyclists_per_total_population -FROM cdb_crankshaft.CDB_AreasOfInterestLocal('SELECT * FROM commute_data' - 'num_cyclists_per_total_population') As aoi +FROM + cdb_crankshaft.CDB_AreasOfInterestLocal( + 'SELECT * FROM commute_data' + 'num_cyclists_per_total_population') As aoi JOIN commute_data As c ON c.cartodb_id = aoi.rowid; ``` @@ -71,8 +73,12 @@ A table with the following columns. #### Examples ```sql -SELECT * -FROM cdb_crankshaft.CDB_AreasOfInterestGlobal('SELECT * FROM commute_data', 'num_cyclists_per_total_population') +SELECT + * +FROM + cdb_crankshaft.CDB_AreasOfInterestGlobal( + 'SELECT * FROM commute_data', + 'num_cyclists_per_total_population') ``` ### CDB_AreasOfInterestLocalRate(subquery text, numerator_column text, denominator_column text) @@ -113,9 +119,11 @@ SELECT aoi.quads, aoi.significance, c.cyclists_per_total_population -FROM cdb_crankshaft.CDB_AreasOfInterestLocalRate('SELECT * FROM commute_data' - 'num_cyclists', - 'total_population') As aoi +FROM + cdb_crankshaft.CDB_AreasOfInterestLocalRate( + 'SELECT * FROM commute_data' + 'num_cyclists', + 'total_population') As aoi JOIN commute_data As c ON c.cartodb_id = aoi.rowid; ``` @@ -149,10 +157,13 @@ A table with the following columns. #### Examples ```sql -SELECT * -FROM cdb_crankshaft.CDB_AreasOfInterestGlobalRate('SELECT * FROM commute_data', - 'num_cyclists', - 'total_population') +SELECT + * +FROM + cdb_crankshaft.CDB_AreasOfInterestGlobalRate( + 'SELECT * FROM commute_data', + 'num_cyclists', + 'total_population') ``` ## Hotspot, Coldspot, and Outlier Functions diff --git a/doc/04_markov.md b/doc/04_markov.md index 95137ca..a2afc85 100644 --- a/doc/04_markov.md +++ b/doc/04_markov.md @@ -40,8 +40,12 @@ SELECT m.trend_up, m.trend_down, m.volatility -FROM cdb_crankshaft.CDB_SpatialMarkovTrend('SELECT * FROM nyc_real_estate' - Array['m03y2009','m03y2010','m03y2011','m03y2012','m03y2013','m03y2014','m03y2015','m03y2016']) As m +FROM + cdb_crankshaft.CDB_SpatialMarkovTrend( + 'SELECT * FROM nyc_real_estate' + Array['m03y2009', 'm03y2010', 'm03y2011', + 'm03y2012', 'm03y2013', 'm03y2014', + 'm03y2015','m03y2016']) As m JOIN nyc_real_estate As c ON c.cartodb_id = m.rowid; ``` diff --git a/doc/11_kmeans.md b/doc/11_kmeans.md index 16c202f..6fe571a 100644 --- a/doc/11_kmeans.md +++ b/doc/11_kmeans.md @@ -1,8 +1,8 @@ ## K-Means Functions -### CDB_KMeans(subquery text, no_clusters INTEGER) +### CDB_KMeans(subquery text, no_clusters integer) -This function attempts to find n clusters within the input data. It will return a table to CartoDB ids and +This function attempts to find n clusters within the input data. It will return a table to CartoDB ids and the number of the cluster each point in the input was assigend to. @@ -26,18 +26,20 @@ A table with the following columns. #### Example Usage ```sql -SELECT - customers.*, - km.cluster_no - FROM cdb_crankshaft.CDB_Kmeans('SELECT * from customers' , 6) km, customers_3 - WHERE customers.cartodb_id = km.cartodb_id +SELECT + customers.*, + km.cluster_no +FROM + cdb_crankshaft.CDB_Kmeans('SELECT * from customers' , 6) km, customers_3 +WHERE + customers.cartodb_id = km.cartodb_id ``` ### CDB_WeightedMean(subquery text, weight_column text, category_column text) Function that computes the weighted centroid of a number of clusters by some weight column. -### Arguments +### Arguments | Name | Type | Description | |------|------|-------------| @@ -45,18 +47,24 @@ Function that computes the weighted centroid of a number of clusters by some wei | weight\_column | TEXT | The name of the column to use as a weight | | category\_column | TEXT | The name of the column to use as a category | -### Returns +### Returns A table with the following columns. | Column Name | Type | Description | |-------------|------|-------------| | the\_geom | GEOMETRY | A point for the weighted cluster center | -| class | INTEGER | The cluster class | +| class | INTEGER | The cluster class | -### Example Usage +### Example Usage -```sql -SELECT ST_TRANSFORM(the_geom, 3857) as the_geom_webmercator, class -FROM cdb_crankshaft.cdb_weighted_mean('SELECT *, customer_value FROM customers','customer_value','cluster_no') +```sql +SELECT + ST_Transform(m.the_geom, 3857) AS the_geom_webmercator, + m.class +FROM + cdb_crankshaft.cdb_WeightedMean( + 'SELECT * FROM customers', + 'customer_value', + 'cluster_no') AS m ``` diff --git a/doc/12_segmentation.md b/doc/12_segmentation.md index b6b0c95..055554b 100644 --- a/doc/12_segmentation.md +++ b/doc/12_segmentation.md @@ -3,7 +3,7 @@ ### CDB_CreateAndPredictSegment(query TEXT, variable_name TEXT, target_query TEXT) -This function trains a [Gradient Boosting](http://scikit-learn.org/stable/modules/generated/sklearn.ensemble.GradientBoostingRegressor.html) model to attempt to predict the target data and then generates predictions for new data. +This function trains a [Gradient Boosting](http://scikit-learn.org/stable/modules/generated/sklearn.ensemble.GradientBoostingRegressor.html) model to attempt to predict the target data and then generates predictions for new data. #### Arguments @@ -34,12 +34,12 @@ A table with the following columns. SELECT * from cdb_crankshaft.CDB_CreateAndPredictSegment( 'SELECT agg, median_rent::numeric, male_pop::numeric, female_pop::numeric FROM late_night_agg', 'agg', -'SELECT row_number() OVER () As cartodb_id, median_rent, male_pop, female_pop FROM ml_learning_ny'); +'SELECT row_number() OVER () As cartodb_id, median_rent, male_pop, female_pop FROM ml_learning_ny'); ``` ### CDB_CreateAndPredictSegment(target numeric[], train_features numeric[], prediction_features numeric[], prediction_ids numeric[]) -This function trains a [Gradient Boosting](http://scikit-learn.org/stable/modules/generated/sklearn.ensemble.GradientBoostingRegressor.html) model to attempt to predict the target data and then generates predictions for new data. +This function trains a [Gradient Boosting](http://scikit-learn.org/stable/modules/generated/sklearn.ensemble.GradientBoostingRegressor.html) model to attempt to predict the target data and then generates predictions for new data. #### Arguments @@ -76,7 +76,7 @@ WITH training As ( FROM late_night_agg), target AS ( SELECT cdb_crankshaft.CDB_PyAgg(Array[median_rent, male_pop, female_pop]::Numeric[]) As features, - array_agg(cartodb_id) As cartodb_ids FROM late_night_agg) + array_agg(cartodb_id) As cartodb_ids FROM late_night_agg) SELECT cdb_crankshaft.CDB_CreateAndPredictSegment(training.target, training.features, target.features, target.cartodb_ids) FROM training, target;