| Parameters |
{
"adhoc_filters": [
{
"clause": "WHERE",
"comparator": "198",
"expressionType": "SIMPLE",
"filterOptionName": "filter_hgprzqnqmxf_rs0cw8nr2od",
"isExtra": false,
"isNew": false,
"operator": "==",
"sqlExpression": null,
"subject": "common_city_id"
},
{
"clause": "WHERE",
"comparator": null,
"expressionType": "SQL",
"filterOptionName": "filter_8earvfhlspd_2p7a719ds22",
"isExtra": false,
"isNew": false,
"operator": null,
"sqlExpression": "sqm >= 75 AND sqm<=100",
"subject": null
},
{
"clause": "WHERE",
"comparator": [
"3rd",
"4th",
"5th"
],
"expressionType": "SIMPLE",
"filterOptionName": "filter_shin7e1dvr_m2gzyfw4jh",
"isExtra": false,
"isNew": false,
"operator": "in",
"sqlExpression": null,
"subject": "floorupper"
},
{
"clause": "WHERE",
"comparator": null,
"expressionType": "SQL",
"filterOptionName": "filter_t06a0npvxjg_dhesckf26b",
"isExtra": false,
"isNew": false,
"operator": null,
"sqlExpression": "last_price/sqm>400 AND last_price/sqm<1700",
"subject": null
},
{
"clause": "HAVING",
"comparator": null,
"expressionType": "SQL",
"filterOptionName": "filter_mbj5vceg04_t8q9ymd096s",
"isExtra": false,
"isNew": false,
"operator": null,
"sqlExpression": "COUNT(listing_id) > 40",
"subject": null
}
],
"columns": [],
"datasource": "15__table",
"date_format": "smart_date",
"granularity_sqla": "entry_date",
"groupby": [
"listing_area"
],
"metrics": [
{
"aggregate": null,
"column": null,
"expressionType": "SQL",
"hasCustomLabel": false,
"isNew": false,
"label": "AVG(last_price/sqm)",
"optionName": "metric_2yn2s0i9jra_0hw8mrhl7fil",
"sqlExpression": "AVG(last_price/sqm)"
},
{
"aggregate": "COUNT",
"column": {
"column_name": "listing_id",
"description": null,
"expression": null,
"filterable": true,
"groupby": true,
"id": 632,
"is_dttm": false,
"optionName": "_col_listing_id",
"python_date_format": null,
"type": "INTEGER",
"verbose_name": null
},
"expressionType": "SIMPLE",
"hasCustomLabel": false,
"isNew": false,
"label": "COUNT(listing_id)",
"optionName": "metric_vq6djn8oirs_ha6n6mvvdn",
"sqlExpression": null
}
],
"number_format": "~g",
"pandas_aggfunc": "sum",
"pivot_margins": true,
"queryFields": {
"columns": "groupby",
"groupby": "groupby",
"metrics": "metrics"
},
"row_limit": 10000,
"slice_id": 177,
"time_grain_sqla": "P1D",
"time_range": "Last year",
"time_range_endpoints": [
"inclusive",
"exclusive"
],
"url_params": {},
"viz_type": "pivot_table"
}
|
