Campaign: Application Showcase

EnergyZip.org

http://www.energyzip.org EnergyZip allows you to explore electricity usage across the five boroughs of New York City and compare your usage against predicted future use, to your neighbors and to the city. We invite you to enter your recent electricity usage and, from this data and the average seasonal modulation for US households, we predict what your electricity consumption will be for the rest of the year and how ...more »

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Campaign: Application Showcase

EnergyZip.org

http://www.energyzip.org EnergyZip allows you to explore electricity usage across the five boroughs of New York City and compare your usage against predicted future use, to your neighbors and to the city. We invite you to enter your recent electricity usage and, from this data and the average seasonal modulation for US households, we predict what your electricity consumption will be for the rest of the year and how ...more »

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Campaign: Application Showcase

Poverty map by age and sex

http://pad.human.cornell.edu/Unlisted/uncertaintymap_fullinfo_api_B17001.cfm

 

I had already created a thematic map application that gave information about the uncertainty surrounding ACS estimates (move your mouse over the counties). This website generates the map using API data requests. A future expansion will include parsing the variables XML file.

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Campaign: Application Showcase

Poverty map by age and sex

http://pad.human.cornell.edu/Unlisted/uncertaintymap_fullinfo_api_B17001.cfm

 

I had already created a thematic map application that gave information about the uncertainty surrounding ACS estimates (move your mouse over the counties). This website generates the map using API data requests. A future expansion will include parsing the variables XML file.

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Campaign: Application Ideas

Interactive Hierarchy of Census Geographic Entities

The general population is familiar with ZIP codes, county and state boundaries. However, the Census also offers statistics in other useful geographies (e.g., NECTA, County Subdivisin, Tract, etc). But, understanding the hierarchy of Census geographic entities is not intuitive. The Census produced a diagram explaining the levels geography (http://www.census.gov/geo/reference/pdfs/geodiagram.pdf) but more can be done. ...more »

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Campaign: Application Ideas

Interactive Hierarchy of Census Geographic Entities

The general population is familiar with ZIP codes, county and state boundaries. However, the Census also offers statistics in other useful geographies (e.g., NECTA, County Subdivisin, Tract, etc). But, understanding the hierarchy of Census geographic entities is not intuitive. The Census produced a diagram explaining the levels geography (http://www.census.gov/geo/reference/pdfs/geodiagram.pdf) but more can be done. ...more »

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Campaign: Application Showcase

Point Context

http://grahamimac.com/pointcontext/

 

Paste any point data into Point Context, and it presents a heatmap and provides basic Census data on the average neighborhood for your points.

 

I originally tried to use the API but found that for larger datasets I had to make way too many API calls to get all the tract data I needed. So I downloaded and stored the Census data in my own database.

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Campaign: Application Showcase

Point Context

http://grahamimac.com/pointcontext/

 

Paste any point data into Point Context, and it presents a heatmap and provides basic Census data on the average neighborhood for your points.

 

I originally tried to use the API but found that for larger datasets I had to make way too many API calls to get all the tract data I needed. So I downloaded and stored the Census data in my own database.

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Campaign: Using Data

Best practice for census tract level GeoID

I am trying to make tract-level thematic maps for several indicators (e.g. unemployment, median family income etc.). In the KML and SVG files I am using (including that obtained from TIGER) the 11 digit GeoID10 seems to be the best column through which I can merge data pertaining to the census tracts either by using the "GEO.id2" field from ACS data downloaded as CSV from FactFinder or through a concatenation of ...more »

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Campaign: Using Data

Best practice for census tract level GeoID

I am trying to make tract-level thematic maps for several indicators (e.g. unemployment, median family income etc.). In the KML and SVG files I am using (including that obtained from TIGER) the 11 digit GeoID10 seems to be the best column through which I can merge data pertaining to the census tracts either by using the "GEO.id2" field from ACS data downloaded as CSV from FactFinder or through a concatenation of ...more »

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