Algolytics Technologies Sp. z o.o.
DQ-online v1.0
For more Algolytics products visit us at https://algolytics.com/.
API for online and automatic address data cleaning.
Clean rows
| Method | POST |
|---|---|
| Path | /api/scenario/code/remote/score?name=dqonline_auth&key=31b1108c-c2b3-4b7d-99f1-6b83def1c6a0 |
A method for cleaning given rows of raw data. The order of the input rows is preserved in the output array. There are restrictions on combining address data properties, see Restrictions on combining address data properties for more details. All fields in the output structure are optional and depend on the process parameters.
| Status code | Usage |
|---|---|
| 200 OK | The request completed successfully. |
| 207 Multi-Status | There were errors cleansing some records. Records for which processing error has occurred may be partially cleansed. Such records will contain the [error] object in the resulting JSON object. |
| 401 Unauthorized | The request has not been applied because it lacks valid authentication credentials for the target resource. |
| 400 Bad Request | The request was malformed. The response body will include an error providing further information. |
| 415 Unsupported Media Type | The request entity has a media type which the server does not support. |
| 503 Service Unavailable | The request was well-formed but data cleansing is currently unavailable due to maintenance. |
| 5xx Unexpected Server Error | The server failed to fulfill an apparently valid request. If an unspecified error in range 500-599 occurred contact our support at support@algolytics.pl. |
| Table 13. Request headers | |
| Name | Description |
|---|---|
| Accept: | application/json;charset=UTF-8 |
| Content-Type | application/json;charset=UTF-8 |
| Table 14. Request fields | ||
| Path | Type | Description |
|---|---|---|
| secret_key | String | An authorization token obtained by the registration e-mail |
| query.inputRows | Array | An array of input rows to be processed |
| query.processParameters | Object | Parameters configuring the data cleansing process |
| query.inputRows[].postalCode | String | [Optional] Postal code |
| query.inputRows[].cityName | String | [Optional] City name |
| query.inputRows[].streetName | String | [Optional] Street name |
| query.inputRows[].streetNumber | String | [Optional] Street number |
| query.inputRows[].apartmentNumber | String | [Optional] Apartment number |
| query.inputRows[].streetNumberAndApartmentNumber | String | [Optional] Concatenation of the street number and apartment number (alternative to separate fields: streetNumber, apartmentNumber) |
| query.inputRows[].streetNameAndStreetNumberAndApartmentNumber | String | [Optional] Concatenation of the street name, street number and apartment number (alternative to separate fields: streetName, streetNumber, apartmentNumber) |
| query.inputRows[].voivodeshipName | String | [Optional] Voivodeship name |
| query.inputRows[].countyName | String | [Optional] County name |
| query.inputRows[].communeName | String | [Optional] Commune name |
| query.inputRows[].generalData | String | [Optional] Concatenation of all address information available |
| query.processParameters.activeModules | Array | Modules that will be used to process input data. Available values are:
“ADDRESSES” (enables address processing) “FINANCES” (enables finance scoring) |
| query.processParameters.includeSymbolicNames | Boolean | Enabling this option includes symbolic names (GUS TERYT identifiers) for cities, streets and communes on the output |
| query.processParameters.includeGusZones | Boolean | Enabling this option includes GUS statistical region and census circuit information on the output, required by [FINANCES] module |
| query.processParameters.includeGeographicCoordinates | Boolean | Enabling this option includes geographic coordinates (latitude and longitude) on the output |
| query.processParameters.includeBuildingsInfo | Boolean | Enabling this option includes number of flats and residents of the buildings on the output |
| query.processParameters.includeDiagnosticInfo | Boolean | Enabling this option includes detailed information about the status of matching and geocoding on the output |
| Table 15. Response headers | |
| Name | Description |
|---|---|
| Content-Type | application/json;charset=UTF-8 |
| Table 16. Response fields | ||
| Path | Type | Description |
|---|---|---|
| result.response | Array | An array of output rows containing the cleansed data |
| result.response[].cityName | String | Cleaned city name.
Requires [ADDRESSES] module |
| result.response[].cityDistrictName | String | Cleaned city district name.
Requires [ADDRESSES] module |
| result.response[].streetAttribute | String | Street attribute (e.g. ul., al., pl.).
Requires [ADDRESSES] module |
| result.response[].streetName | String | Cleaned street name (without street attribute).
Requires [ADDRESSES] module |
| result.response[].streetNameMajorPart | String | The main part of the street name (e.g. the surname of the patron).
Requires [ADDRESSES] module |
| result.response[].streetNameMinorPart | String | A less important part of the street name (does not always exist, e.g. the first name of the patron).
Requires [ADDRESSES] module |
| result.response[].streetNumber | String | Cleaned street number.
Requires [ADDRESSES] module |
| result.response[].apartmentNumber | String | Cleaned apartment number.
Requires [ADDRESSES] module |
| result.response[].addressId | String | Unique address identifier, constant in time.
Requires [ADDRESSES] module |
| result.response[].numberOfApartments | Number | Number of apartments according to the GUS.
Requires [ADDRESSES] module |
| result.response[].numberOfJuridicalPersons | Number | Number of juridical persons and organizational units located in a given building according to the REGON register.
Requires [ADDRESSES] module |
| result.response[].postalCode | String | Cleaned postal code with NN-NNN format where N is a digit (0-9).
Requires [ADDRESSES] module |
| result.response[].communeName | String | Cleaned commune name.
Requires [ADDRESSES] module |
| result.response[].countyName | String | Cleaned county name.
Requires [ADDRESSES] module |
| result.response[].voivodeshipName | String | Cleaned voivodeship name.
Requires [ADDRESSES] module |
| result.response[].citySymbol | String | Symbolic name for city (GUS TERYT identifier).
Requires [ADDRESSES] module and [includeSymbolicNames] option enabled |
| result.response[].cityDistrictSymbol | String | Symbolic name for city district (GUS TERYT identifier).
Requires [ADDRESSES] module and [includeSymbolicNames] option enabled |
| result.response[].streetSymbol | String | Symbolic name for street (GUS TERYT identifier).
Requires [ADDRESSES] module and [includeSymbolicNames] option enabled |
| result.response[].communeSymbol | String | Commune code with XXYYZZ format where XX is voivodship code, YY is county within voivodship code, ZZ is commune within county code.
Requires [ADDRESSES] module and [includeSymbolicNames] option enabled |
| result.response[].communeTypeName | String | Name of the commune type, one of: “gmina miejska”, “gmina wiejska”, “część miejska gminy miejsko-wiejskiej”, “część wiejska gminy miejsko-wiejskiej”.
Requires [ADDRESSES] module and [includeSymbolicNames] option enabled |
| result.response[].communeTypeSymbol | Number | Numeric symbol of the commune type, one of: 1 (for gmina miejska), 2 (for gmina wiejska), 4 (for część miejska gminy miejsko-wiejskiej), 5 (for część wiejska gminy miejsko-wiejskiej).
Requires [ADDRESSES] module and [includeSymbolicNames] option enabled |
| result.response[].statisticalRegionSymbol | String | Commune code, along with its type and statistical region in the given format: XXYYZZTRRRRRRRR where XXYYZZ is [communeSymbol], T is [communeTypeSymbol], RRRRRRRR is 8-digit statistical region code (GUS TERYT identifier).
Requires [ADDRESSES] module and [includeGusZones] option enabled |
| result.response[].censusCircuitSymbol | String | Commune code, along with its type, statistical region and census circuit within this region in the given format: XXYYZZTRRRRRRRRC where XXYYZZTRRRRRRRR is [statisticalRegionSymbol], C is census circuit within statistical region code (GUS TERYT identifier).
Requires [ADDRESSES] module and [includeGusZones] option enabled |
| result.response[].numberOfInhabitedApartmentsByGUS | Number | Number of inhabited apartments according to the GUS.
Requires [ADDRESSES] module and [includeBuildingsInfo] option enabled |
| result.response[].numberOfInhabitantsByGUS | Number | Number of inhabitants according to the GUS.
Requires [ADDRESSES] module and [includeBuildingsInfo] option enabled |
| result.response[].numberOfInhabitedApartmentsByPESEL | Number | Number of inhabited apartments according to the PESEL register provided by the Ministry of Digitization.
Requires [ADDRESSES] module and [includeBuildingsInfo] option enabled |
| result.response[].numberOfInhabitantsByPESEL | Number | Number of inhabitants according to the PESEL register provided by the Ministry of Digitization.
Requires [ADDRESSES] module and [includeBuildingsInfo] option enabled |
| result.response[].numberOfWomen | Number | Number of female inhabitants according to the PESEL register provided by the Ministry of Digitization.
Requires [ADDRESSES] module and [includeBuildingsInfo] option enabled |
| result.response[].numberOfMen | Number | Number of male inhabitants according to the PESEL register provided by the Ministry of Digitization.
Requires [ADDRESSES] module and [includeBuildingsInfo] option enabled |
| result.response[].numberOfWomenBetween_0_4_yearsOld | Number | Number of female inhabitants between 0 and 4 years old according to the PESEL register provided by the Ministry of Digitization.
Requires [ADDRESSES] module and [includeBuildingsInfo] option enabled |
| result.response[].numberOfWomenBetween_5_9_yearsOld | Number | Number of female inhabitants between 5 and 9 years old according to the PESEL register provided by the Ministry of Digitization.
Requires [ADDRESSES] module and [includeBuildingsInfo] option enabled |
| result.response[].numberOfWomenBetween_10_14_yearsOld | Number | Number of female inhabitants between 10 and 14 years old according to the PESEL register provided by the Ministry of Digitization.
Requires [ADDRESSES] module and [includeBuildingsInfo] option enabled |
| result.response[].numberOfWomenBetween_15_19_yearsOld | Number | Number of female inhabitants between 15 and 19 years old according to the PESEL register provided by the Ministry of Digitization.
Requires [ADDRESSES] module and [includeBuildingsInfo] option enabled |
| result.response[].numberOfWomenBetween_20_24_yearsOld | Number | Number of female inhabitants between 20 and 24 years old according to the PESEL register provided by the Ministry of Digitization.
Requires [ADDRESSES] module and [includeBuildingsInfo] option enabled |
| result.response[].numberOfWomenBetween_25_29_yearsOld | Number | Number of female inhabitants between 25 and 29 years old according to the PESEL register provided by the Ministry of Digitization.
Requires [ADDRESSES] module and [includeBuildingsInfo] option enabled |
| result.response[].numberOfWomenBetween_30_34_yearsOld | Number | Number of female inhabitants between 30 and 34 years old according to the PESEL register provided by the Ministry of Digitization.
Requires [ADDRESSES] module and [includeBuildingsInfo] option enabled |
| result.response[].numberOfWomenBetween_35_39_yearsOld | Number | Number of female inhabitants between 35 and 39 years old according to the PESEL register provided by the Ministry of Digitization.
Requires [ADDRESSES] module and [includeBuildingsInfo] option enabled |
| result.response[].numberOfWomenBetween_40_44_yearsOld | Number | Number of female inhabitants between 40 and 44 years old according to the PESEL register provided by the Ministry of Digitization.
Requires [ADDRESSES] module and [includeBuildingsInfo] option enabled |
| result.response[].numberOfWomenBetween_45_49_yearsOld | Number | Number of female inhabitants between 45 and 49 years old according to the PESEL register provided by the Ministry of Digitization.
Requires [ADDRESSES] module and [includeBuildingsInfo] option enabled |
| result.response[].numberOfWomenBetween_50_54_yearsOld | Number | Number of female inhabitants between 50 and 54 years old according to the PESEL register provided by the Ministry of Digitization.
Requires [ADDRESSES] module and [includeBuildingsInfo] option enabled |
| result.response[].numberOfWomenBetween_55_59_yearsOld | Number | Number of female inhabitants between 55 and 59 years old according to the PESEL register provided by the Ministry of Digitization.
Requires [ADDRESSES] module and [includeBuildingsInfo] option enabled |
| result.response[].numberOfWomenBetween_60_64_yearsOld | Number | Number of female inhabitants between 60 and 64 years old according to the PESEL register provided by the Ministry of Digitization.
Requires [ADDRESSES] module and [includeBuildingsInfo] option enabled |
| result.response[].numberOfWomenOver_65_yearsOld | Number | Number of female inhabitants over 65 years old according to the PESEL register provided by the Ministry of Digitization.
Requires [ADDRESSES] module and [includeBuildingsInfo] option enabled |
| result.response[].numberOfMenBetween_0_4_yearsOld | Number | Number of male inhabitants between 0 and 4 years old according to the PESEL register provided by the Ministry of Digitization.
Requires [ADDRESSES] module and [includeBuildingsInfo] option enabled |
| result.response[].numberOfMenBetween_5_9_yearsOld | Number | Number of male inhabitants between 5 and 9 years old according to the PESEL register provided by the Ministry of Digitization.
Requires [ADDRESSES] module and [includeBuildingsInfo] option enabled |
| result.response[].numberOfMenBetween_10_14_yearsOld | Number | Number of male inhabitants between 10 and 14 years old according to the PESEL register provided by the Ministry of Digitization.
Requires [ADDRESSES] module and [includeBuildingsInfo] option enabled |
| result.response[].numberOfMenBetween_15_19_yearsOld | Number | Number of male inhabitants between 15 and 19 years old according to the PESEL register provided by the Ministry of Digitization.
Requires [ADDRESSES] module and [includeBuildingsInfo] option enabled |
| result.response[].numberOfMenBetween_20_24_yearsOld | Number | Number of male inhabitants between 20 and 24 years old according to the PESEL register provided by the Ministry of Digitization.
Requires [ADDRESSES] module and [includeBuildingsInfo] option enabled |
| result.response[].numberOfMenBetween_25_29_yearsOld | Number | Number of male inhabitants between 25 and 29 years old according to the PESEL register provided by the Ministry of Digitization.
Requires [ADDRESSES] module and [includeBuildingsInfo] option enabled |
| result.response[].numberOfMenBetween_30_34_yearsOld | Number | Number of male inhabitants between 30 and 34 years old according to the PESEL register provided by the Ministry of Digitization.
Requires [ADDRESSES] module and [includeBuildingsInfo] option enabled |
| result.response[].numberOfMenBetween_35_39_yearsOld | Number | Number of male inhabitants between 35 and 39 years old according to the PESEL register provided by the Ministry of Digitization.
Requires [ADDRESSES] module and [includeBuildingsInfo] option enabled |
| result.response[].numberOfMenBetween_40_44_yearsOld | Number | Number of male inhabitants between 40 and 44 years old according to the PESEL register provided by the Ministry of Digitization.
Requires [ADDRESSES] module and [includeBuildingsInfo] option enabled |
| result.response[].numberOfMenBetween_45_49_yearsOld | Number | Number of male inhabitants between 45 and 49 years old according to the PESEL register provided by the Ministry of Digitization.
Requires [ADDRESSES] module and [includeBuildingsInfo] option enabled |
| result.response[].numberOfMenBetween_50_54_yearsOld | Number | Number of male inhabitants between 50 and 54 years old according to the PESEL register provided by the Ministry of Digitization.
Requires [ADDRESSES] module and [includeBuildingsInfo] option enabled |
| result.response[].numberOfMenBetween_55_59_yearsOld | Number | Number of male inhabitants between 55 and 59 years old according to the PESEL register provided by the Ministry of Digitization.
Requires [ADDRESSES] module and [includeBuildingsInfo] option enabled |
| result.response[].numberOfMenBetween_60_64_yearsOld | Number | Number of male inhabitants between 60 and 64 years old according to the PESEL register provided by the Ministry of Digitization.
Requires [ADDRESSES] module and [includeBuildingsInfo] option enabled |
| result.response[].numberOfMenOver_65_yearsOld | Number | Number of male inhabitants over 65 years old according to the PESEL register provided by the Ministry of Digitization.
Requires [ADDRESSES] module and [includeBuildingsInfo] option enabled |
| result.response[].numberOfMicroEntrepreneurs | Number | Number of entrepreneurs located in a given building according to the REGON register.
Requires [ADDRESSES] module and [includeBuildingsInfo] option enabled |
| result.response[].taxationAuthority | Number | Name of the tax authority competent for the address.
Requires [ADDRESSES] module and [includeBuildingsInfo] option enabled |
| result.response[].individualClientFraudStatistic | Number | PF statistic calculated according to the building’s location for individual clients.
Requires [ADDRESSES] and [FINANCES] modules and [includeGusZones] option enabled |
| result.response[].individualClientFraudScore | Number | PF score calculated according to the building’s location and its features for individual clients.
Requires [ADDRESSES] and [FINANCES] modules and [includeGusZones] option enabled |
| result.response[].individualClientDefaultStatistic | Number | PD statistic calculated according to the building’s location for individual clients.
Requires [ADDRESSES] and [FINANCES] modules and [includeGusZones] option enabled |
| result.response[].individualClientDefaultScore | Number | PD score calculated according to the building’s location and its features for individual clients.
Requires [ADDRESSES] and [FINANCES] modules and [includeGusZones] option enabled |
| result.response[].businessClientFraudStatistic | Number | PF statistic calculated according to the building’s location for business clients.
Requires [ADDRESSES] and [FINANCES] modules and [includeGusZones] option enabled |
| result.response[].businessClientFraudScore | Number | PF score calculated according to the building’s location and its features for business clients.
Requires [ADDRESSES] and [FINANCES] modules and [includeGusZones] option enabled |
| result.response[].businessClientDefaultStatistic | Number | PD statistic calculated according to the building’s location for business clients.
Requires [ADDRESSES] and [FINANCES] modules and [includeGusZones] option enabled |
| result.response[].businessClientDefaultScore | Number | PD score calculated according to the building’s location and its features for business clients.
Requires [ADDRESSES] and [FINANCES] modules and [includeGusZones] option enabled |
| result.response[].entrepreneurFraudStatistic | Number | PF statistic calculated according to the building’s location for entrepreneurs.
Requires [ADDRESSES] and [FINANCES] modules and [includeGusZones] option enabled |
| result.response[].entrepreneurDefaultStatistic | Number | PD statistic calculated according to the building’s location for entrepreneurs.
Requires [ADDRESSES] and [FINANCES] modules and [includeGusZones] option enabled |
| result.response[].entrepreneurDefaultScore | Number | PD score calculated according to the building’s location and its features for entrepreneurs.
Requires [ADDRESSES] and [FINANCES] modules and [includeGusZones] option enabled |
| result.response[].averageIncome | Number | Average estimated income index of people living in the micro-market.
Requires [ADDRESSES] and [FINANCES] modules and [includeGusZones] option enabled |
| result.response[].incomePercentile5 | Number | 5th percentile of the estimated income for people living in the micro-market.
Requires [ADDRESSES] and [FINANCES] modules and [includeGusZones] option enabled |
| result.response[].incomePercentile25 | Number | 25th quantile of the estimated income for people living in the micro-market.
Requires [ADDRESSES] and [FINANCES] modules and [includeGusZones] option enabled |
| result.response[].incomePercentile50 | Number | Median of the estimated income for people living in the micro-market.
Requires [ADDRESSES] and [FINANCES] modules and [includeGusZones] option enabled |
| result.response[].incomePercentile75 | Number | 75th quantile of the estimated income for people living in the micro-market.
Requires [ADDRESSES] and [FINANCES] modules and [includeGusZones] option enabled |
| result.response[].incomePercentile95 | Number | 95th percentile of the estimated income for people living in the micro-market.
Requires [ADDRESSES] and [FINANCES] modules and [includeGusZones] option enabled |
| result.response[].statuses | String | Concatenation of matching and geocoding statuses in the given format: “<category:result>” or “<category>” where the category can take one of the values: “przypisanie niejednoznaczne“, “zmiana nazwy miejscowości“, “zmiana nazwy ulicy“, “dopasowanie“, “geokodowanie“.
Requires [ADDRESSES] module and [includeDiagnosticInfo] option enabled |
| result.response[].longitude | Number | East longitude degree value.
Requires [ADDRESSES] module and [includeGeographicCoordinates] option enabled |
| result.response[].latitude | Number | North latitude degree value.
Requires [ADDRESSES] module and [includeGeographicCoordinates] option enabled |
| result.response[].error | Object | Object indicating that an error occurred while processing the given row. Contains details about the error |
| result.response[].error.message | String | An error message explaining that the input row was incorrect or an unexpected application error occurred |
| result.response[].error.status | String | Numeric error representation. The following codes are provided:
“001” – null input row, “002” – violation of Restrictions on combining address data properties, “500” – unexpected server error |
curl -X POST ‘https://server.address/api/scenario/code/remote/score?name=dqonline_auth&key=31b1108c-c2b3-4b7d-99f1-6b83def1c6a0′ -H ‘Accept: application/json;charset=UTF-8′ -H ‘Cache-Control: no-cache’ -H ‘Connection: keep-alive’ -H ‘Content-Type: application/json’ -d ‘{
“query”: {
“inputRows“: [
{
“cityName“: ” Warszawa “,
“streetName“:”PRZESKOK”,
“streetNumber”:”2″,
“postalCode”:”00-031″
},
{
“generalData“: “spotkajmy się u mnie warszawa czerniakowska 36 m 38”
},
{
“generalData“: “Piotrkowska Łódź“
}
],
“processParameters“: {
“activeModules“: [
“ADDRESSES”
],
“includeSymbolicNames“: true,
“includeGusZones“: true,
“includeGeographicCoordinates“: true,
“includeBuildingsInfo“: true,
“includeDiagnosticInfo“: true
}
},
“secret_key“: “*****“
}’ {
"name": "dqonline_auth",
"beginTime": "2019-07-12T10:53:27.429882Z",
"endTime": "2019-07-12T10:53:27.956312Z",
"result": {
"response": [
{
"statuses": "<dopasowanie: budynek, w którym nie ma mieszkań><geokodowanie: dopasowany budynek>",
"addressId": "0919810_17763_2",
"cityName": "Warszawa",
"citySymbol": "0918123",
"cityDistrictName": "Śródmieście",
"cityDistrictSymbol": "0919810",
"streetName": "Przeskok",
"streetSymbol": "17763",
"streetAttribute": "ul.",
"streetNameMajorPart": "Przeskok",
"postalCode": "00-032",
"streetNumber": "2",
"voivodeshipName": "mazowieckie",
"countyName": "Warszawa",
"communeName": "Warszawa",
"communeSymbol": "146501",
"communeTypeSymbol": 1,
"communeTypeName": "gmina miejska",
"statisticalRegionSymbol": "1465108007880",
"censusCircuitSymbol": "14651080078803",
"latitude": 52.2331780695409,
"longitude": 21.0139327663374,
"numberOfApartments": 0,
"numberOfInhabitedApartmentsByGUS": 0,
"numberOfInhabitedApartmentsByPESEL": 0,
"numberOfInhabitantsByGUS": 0,
"numberOfInhabitantsByPESEL": 0,
"numberOfMen": 0,
"numberOfMenBetween_0_4_yearsOld": 0,
"numberOfMenBetween_5_9_yearsOld": 0,
"numberOfMenBetween_10_14_yearsOld": 0,
"numberOfMenBetween_15_19_yearsOld": 0,
"numberOfMenBetween_20_24_yearsOld": 0,
"numberOfMenBetween_25_29_yearsOld": 0,
"numberOfMenBetween_30_34_yearsOld": 0,
"numberOfMenBetween_35_39_yearsOld": 0,
"numberOfMenBetween_40_44_yearsOld": 0,
"numberOfMenBetween_45_49_yearsOld": 0,
"numberOfMenBetween_50_54_yearsOld": 0,
"numberOfMenBetween_55_59_yearsOld": 0,
"numberOfMenBetween_60_64_yearsOld": 0,
"numberOfMenOver_65_yearsOld": 0,
"numberOfWomen": 0,
"numberOfWomenBetween_0_4_yearsOld": 0,
"numberOfWomenBetween_5_9_yearsOld": 0,
"numberOfWomenBetween_10_14_yearsOld": 0,
"numberOfWomenBetween_15_19_yearsOld": 0,
"numberOfWomenBetween_20_24_yearsOld": 0,
"numberOfWomenBetween_25_29_yearsOld": 0,
"numberOfWomenBetween_30_34_yearsOld": 0,
"numberOfWomenBetween_35_39_yearsOld": 0,
"numberOfWomenBetween_40_44_yearsOld": 0,
"numberOfWomenBetween_45_49_yearsOld": 0,
"numberOfWomenBetween_50_54_yearsOld": 0,
"numberOfWomenBetween_55_59_yearsOld": 0,
"numberOfWomenBetween_60_64_yearsOld": 0,
"numberOfWomenOver_65_yearsOld": 0,
"numberOfJuridicalPersons": 158,
"taxationAuthority": "Pierwszy Urząd Skarbowy Warszawa-Śródmieście"
},
{
"statuses": "<dopasowanie: mieszkanie><geokodowanie: dopasowany budynek>",
"addressId": "0918130_03385_36",
"cityName": "Warszawa",
"citySymbol": "0918123",
"cityDistrictName": "Mokotów",
"cityDistrictSymbol": "0918130",
"streetName": "Czerniakowska",
"streetSymbol": "03385",
"streetAttribute": "ul.",
"streetNameMajorPart": "Czerniakowska",
"postalCode": "00-714",
"streetNumber": "36",
"voivodeshipName": "mazowieckie",
"countyName": "Warszawa",
"communeName": "Warszawa",
"communeSymbol": "146501",
"communeTypeSymbol": 1,
"communeTypeName": "gmina miejska",
"statisticalRegionSymbol": "1465058000722",
"censusCircuitSymbol": "14650580007221",
"latitude": 52.2045078912561,
"longitude": 21.0501179239762,
"numberOfApartments": 172,
"numberOfInhabitedApartmentsByGUS": 70,
"numberOfInhabitedApartmentsByPESEL": 96,
"numberOfInhabitantsByGUS": 192,
"numberOfInhabitantsByPESEL": 184,
"numberOfMen": 76,
"numberOfMenBetween_0_4_yearsOld": 5,
"numberOfMenBetween_5_9_yearsOld": 3,
"numberOfMenBetween_10_14_yearsOld": 4,
"numberOfMenBetween_15_19_yearsOld": 4,
"numberOfMenBetween_20_24_yearsOld": 5,
"numberOfMenBetween_25_29_yearsOld": 2,
"numberOfMenBetween_30_34_yearsOld": 6,
"numberOfMenBetween_35_39_yearsOld": 4,
"numberOfMenBetween_40_44_yearsOld": 3,
"numberOfMenBetween_45_49_yearsOld": 7,
"numberOfMenBetween_50_54_yearsOld": 5,
"numberOfMenBetween_55_59_yearsOld": 5,
"numberOfMenBetween_60_64_yearsOld": 1,
"numberOfMenOver_65_yearsOld": 22,
"numberOfWomen": 108,
"numberOfWomenBetween_0_4_yearsOld": 3,
"numberOfWomenBetween_5_9_yearsOld": 2,
"numberOfWomenBetween_10_14_yearsOld": 4,
"numberOfWomenBetween_15_19_yearsOld": 0,
"numberOfWomenBetween_20_24_yearsOld": 3,
"numberOfWomenBetween_25_29_yearsOld": 2,
"numberOfWomenBetween_30_34_yearsOld": 10,
"numberOfWomenBetween_35_39_yearsOld": 2,
"numberOfWomenBetween_40_44_yearsOld": 7,
"numberOfWomenBetween_45_49_yearsOld": 9,
"numberOfWomenBetween_50_54_yearsOld": 6,
"numberOfWomenBetween_55_59_yearsOld": 10,
"numberOfWomenBetween_60_64_yearsOld": 5,
"numberOfWomenOver_65_yearsOld": 45,
"numberOfJuridicalPersons": 1,
"taxationAuthority": "Urząd Skarbowy Warszawa-Mokotów"
},
{
"statuses": "<dopasowanie: ulica><geokodowanie: środek ulicy (50 i więcej budynków)>",
"cityName": "Łódź",
"citySymbol": "0957650",
"streetName": "Piotrkowska",
"streetSymbol": "16308",
"streetAttribute": "ul.",
"streetNameMajorPart": "Piotrkowska",
"voivodeshipName": "łódzkie",
"countyName": "Łódź",
"communeName": "Łódź",
"communeSymbol": "106101",
"communeTypeSymbol": 1,
"communeTypeName": "gmina miejska",
"latitude": 51.76038942579284,
"longitude": 19.45830342478674
}
]
},
"error": null,
"sceuid": "4f63ab8f-bb0b-4131-bdfb-6a34e0a9d6ad"
} It is forbidden to pass different properties, but with the same information (e.g. streetName and streetNameAndStreetNumberAndApartmentNumber both contain street name information). Therefore, the following groups of mutually exclusive properties can be distinguished:
Only one property from each group can be present at a time. Violation of these restrictions results in an 002 [error].
We can customize DQ to return additional information according to Your needs. For more information contact our support at support@algolytics.pl.
Last updated 2019-04-08 07:39:06 PDT