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Remove advanced use cases that no longer make sense

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This commit is contained in:
Raul Ochoa 2017-09-22 15:42:52 +00:00
parent 5cc31cabe2
commit 3134f40eac
1 changed files with 0 additions and 280 deletions
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280
test/acceptance/analysis/analysis-layers-use-cases.js
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@ -261,287 +261,7 @@ describe('analysis-layers use cases', function () {
pointInPolygonDef
]
)
},
{
skip: true,
desc: 'I. Distribution centers',
mapConfig: mapConfig(
// layers
[
{
type: 'cartodb',
options: {
'source': { id: 'b0' },
'cartocss': [
'#distribution_centers {',
' marker-fill-opacity: 1.0;',
' marker-line-color: #FFF;',
' marker-line-width: 0.5;',
' marker-line-opacity: 0.7;',
' marker-placement: point;',
' marker-type: ellipse;',
' marker-width: 8;',
' marker-fill: blue;',
' marker-allow-overlap: true;',
'}'
].join('\n'),
'cartocss_version': '2.3.0'
}
},
{
type: 'cartodb',
options: {
'source': { id: 'a0' },
'cartocss': [
'#shops {',
' marker-fill-opacity: 1.0;',
' marker-line-color: #FFF;',
' marker-line-width: 0.5;',
' marker-line-opacity: 0.7;',
' marker-placement: point;',
' marker-type: ellipse;',
' marker-width: 8;',
' marker-fill: red;',
' marker-allow-overlap: true;',
'}'
].join('\n'),
'cartocss_version': '2.3.0'
}
},
{
type: 'cartodb',
options: {
'source': { id: 'a1' },
'cartocss': [
'#routing {',
' line-color: ramp([routing_time], colorbrewer(Reds));',
' line-width: ramp([routing_time], 2, 8);',
' line-opacity: 1.0;',
'}'
].join('\n'),
'cartocss_version': '2.3.0'
}
}
],
// dataviews
{
distribution_center_name_category: {
source: { id: 'b0' },
type: 'aggregation',
options: {
column: 'name'
}
},
time_histogram: {
source: { id: 'a1' },
type: 'histogram',
options: {
column: 'routing_time'
}
},
distance_histogram: {
source: { id: 'a1' },
type: 'histogram',
options: {
column: 'routing_distance'
}
}
},
// analysis
[
{
id: 'a1',
type: 'routing-n-to-n',
params: {
// distanceColumn: 'routing_distance',
// timeColumn: 'routing_time',
originSource: {
id: 'b0',
type: 'source',
params: {
query: 'select * from distribution_centers'
}
},
destinationSource: {
id: 'a0',
type: 'source',
params: {
query: 'select * from shops'
}
}
}
}
]
)
},
{
skip: true,
desc: 'II. Population analysis',
mapConfig: mapConfig(
// layers
[
{
type: 'cartodb',
options: {
'source': { id: 'a2' },
'cartocss': [
'#count_in_polygon {',
' polygon-opacity: 1.0',
' line-color: #FFF;',
' line-width: 0.5;',
' line-opacity: 0.7',
' polygon-fill: ramp([estimated_people], colorbrewer(Reds));',
'}'
].join('\n'),
'cartocss_version': '2.3.0'
}
},
{
type: 'cartodb',
options: {
'source': { id: 'a0' },
'cartocss': DEFAULT_MULTITYPE_STYLE,
'cartocss_version': '2.3.0'
}
}
],
// dataviews
{
total_population_formula: {
'source': { id: 'a3' },
type: 'formula',
options: {
column: 'total_population',
operation: 'sum'
}
},
people_histogram: { // this injects a range filter at `a2` node output
'source': { id: 'a2' },
type: 'histogram',
options: {
column: 'estimated_people'
}
},
subway_line_category: { // this injects a category filter at `a0` node output
'source': { id: 'a0' },
type: 'aggregation',
options: {
column: 'subway_line'
}
}
},
// analysis
[
{
id: 'a3',
// this will union the polygons, produce just one polygon,
// and calculate the total population for it
type: 'total-population',
params: {
columnName: 'total_population',
source: {
id: 'a2',
type: 'estimated-population',
params: {
columnName: 'estimated_people',
source: {
id: 'a1',
type: 'trade-area',
params: {
source: {
'id': 'a0',
'type': 'source',
'params': {
query: 'select * from subway_stops'
}
},
kind: 'walk',
time: 300
}
}
}
}
}
}
])
},
{
skip: true,
desc: 'III. Point in polygon',
mapConfig: mapConfig(
// layers
[
{
type: 'cartodb',
options: {
'source': { id: 'a1' },
'cartocss': [
'#count_in_polygon {',
' polygon-opacity: 1.0',
' line-color: #FFF;',
' line-width: 0.5;',
' line-opacity: 0.7',
' polygon-fill: ramp([count_people], colorbrewer(Reds));',
'}'
].join('\n'),
'cartocss_version': '2.3.0'
}
}
],
// dataviews
{
age_histogram: {
'source': { id: 'a0' },
type: 'histogram',
options: {
column: 'age'
}
},
income_histogram: {
'source': { id: 'a0' },
type: 'histogram',
options: {
column: 'income'
}
},
gender_category: {
'source': { id: 'a0' },
type: 'aggregation',
options: {
column: 'gender'
}
}
},
// analysis
[
{
'id': 'a1',
'type': 'count-in-polygon',
'params': {
'columnName': 'count_people',
'pointsSource': {
'id': 'a0',
'type': 'source',
'params': {
query: 'select the_geom, age, gender, income from people'
}
},
'polygonsSource': {
'id': 'b0',
'type': 'source',
'params': {
query: 'select * from postal_codes'
}
}
}
}
]
)
}
];
useCases.forEach(function (useCase) {