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Integrate factchecker.in tileset #53

@planemad

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@planemad

From #32 (comment)

Theres a very interesting tileset put together by @pankhurikumar23 for https://factchecker.in/constituency-check/index.html that has various development indicators at a constituency level.

We can use the tilequery API to fetch these details and expose it for a selected constituency. Example query

Response:

{"type":"FeatureCollection","features":[{"type":"Feature","id":3,"geometry":{"type":"Point","coordinates":[78.0714,32.2263]},"properties":{"Anaemia prevalence among children aged 6-59 months (In %)":51.4,"Anaemia prevalence among women (In %)":51.7,"Average Expenditure Per Hospitalisation Excluding Delivery (Rural-in Rs)":16363.4,"Average Expenditure Per Hospitalisation Excluding Delivery (Urban-In Rs)":31499.8,"Average out of pocket expenditure per delivery in public health facility (In Rs)":3471.4,"Diarrhoea prevalence (reported) among children aged 0-5 years in the last 2 weeks preceding the survey (In %)":5.1,"Dropout Rate at Grade V(In %)":3.6,"Infant mortality rate (Deaths per 1000 live births)":32,"Institutional births (In %)":67.6,"Labour Force Participation Rates (Rural-In %)":77.6,"Labour Force Participation Rates (Urban-In %)":50.8,"Monthly Per Capita Expenditure (Rural-In Rs)":1525.2,"Monthly Per Capita Expenditure (Urban-In Rs)":2082.8,"Net Enrollment Ratio at Upper Primary Level (In %)":78.3,"PC_CODE":2,"PC_NAME":"Mandi","Pupil-Teacher Ratio at Upper Primary":7.4,"Res":"GEN","ST_CODE":"S08","ST_NAME":"HP","Sex ratio (Females per 1000 males)":1101.6,"Stunting among children under 5 (In %)":24.4,"Underweight among children under 5 (In %)":15.8,"Wasting among children under  (In %)":13.3,"Women with 10 or more years of schooling (In %)":57.7,"tilequery":{"distance":0,"geometry":"polygon","layer":"india_pc_2014_data-2p6jty"}}}]}

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