Home

live demo

Information on Chilean schools

Description: 
This demo mixes two different datasets: One containing information about schools (location, phone number, etc.) and other containing the SIMCE (a standardized Chilean test) scores of that school over the years.
Contributor:
Live Demo: 

Note: Some schools may not have data

Select a municipality
Results SIMCE math
Location
Uses Technology: 
Uses Technology: 
Uses Technology: 
Uses Technology: 
Thumbnail: 
  • Login to post comments
  • 1710 reads

Comparing Chilean SIMCE test for middle school in each region

Description: 
This demo shows scores in mathematics for a Chilean standardized score by region. The data is complemented by information taken from dbpedia (such as population and geographical positions).
Contributor:
Live Demo: 

Note: Region's name, latitude and population are taken from dbpedia. For some regions there is no such information so I provide only the URI of those regions.

Data table

This table show the results from the SIMCE (Quality of Education Measurement System, in spanish) together with data obtained from dbpedia. An interesting aspect is that there is information missing in dbpedia about some regions.
Region (dbpedia) Population (dbpedia) Latitude (dbpedia) Avg. math score per region(simce) Avg. language score per region (simce)

Visualizations

The first graph shows the average of Math and Language scores in each region. It is clear that the scores are higher in the central region. A potential explanation if the correlation between population in each region and its score (as you can see in the second graph). Finally, we used dbpedia to obtain the latitude (remember that Chie is roughly speaking a vertical line, so longitudes are more or less the same for each region) and we compared that with the SIMCE results (as can be seen in the third graph). It is possible to do more analysis (in terms of density, ratio of rural/urban population and so on).

Uses Technology: 
Uses Technology: 
Uses Technology: 
Thumbnail: 
  • Login to post comments
  • 2664 reads

Data.gov survey: dataset modification dates compared

Description: 
This demonstration shows when data.gov datasets were last updated, as determined by their HTTP responses. How up-to-date are the datasets listed in data.gov? We start with a time line histogram for a moment in time.
Contributor:
On the afternoons of __ and __, we crawled data.gov's links to datasets and recorded the modification dates reported by the source agency's HTTP servers. Of __ data.gov datasets, __ datasets returned modification dates on __ and __ returned modification dates on __. The list of data.gov datasets came from the 13 Sept 2010 version of their Dataset 92.
change blue crawl: change red crawl:

Number of Datasets Modified since __

Process used

The following diagram shows the process used to obtain the last-modified dates of the data.gov datasets.

Use of provenance

The following diagram illustrates how the Proof Markup Language was used to record the HTTP headers obtained from the government agency servers. A portion of this data graph is selected by the SPARQL query listed above (the headers are excluded). The red links show the HTTP redirects and HTML anchor hrefs from the data.gov details page to the actual dataset URL on the hosting agency's domain. The green boxes represent URIs for the information obtained (HTTP headers), while the purple boxes associate the information received with its source and when it was received. For more discussion on how provenance is used in LOGD and csv2rdf4lod, see A look at how csv2rdf4lod incorporates provenance into its tabular conversions.
Uses Dataset: 
Uses Technology: 
Uses Technology: 
Uses Technology: 
Uses Technology: 
Uses Technology: 
Uses Technology: 
Uses Technology: 
Uses SPARQL Endpoint: 
Screen Shot: 
Thumbnail: 

White House Visitor Search

Description: 
This demo lets users search visitors and visitees of the White House. The top 100 frequent visited people in the White House are listed.
Contributor:
Contributor:
Live Demo: 
White House Visitor Search

White House Visitor Search
Uses Dataset: 
Uses Technology: 
Uses Technology: 
Uses Technology: 
Uses Technology: 
Uses Technology: 
Uses Technology: 
Uses SPARQL Query: 
Uses SPARQL Query: 
Uses SPARQL Endpoint: 
Uses SPARQL Endpoint: 
Screen Shot: 
Thumbnail: 
  • Login to post comments
  • 3601 reads

Tobacco Policy Adoption by US States (1990-2009)

Description: 
A PopSciGrid demo presenting a chart that shows the changes of the number of states part of which has adopted tobacco policies that ban smoking in some bars, workplaces, or restaurants.
Contributor:
Contributor:
Contributor:
Live Demo: 

This demo is part of the Population Sciences Grid Project. For more information, please contact Professor Deborah McGuinness.

Please note: The National Cancer Institute’s (NCI) PopSciGrid Community Health Data Portal enables users to explore the relationship between cancer risk factors, health outcomes, and factors in the social and political environment. The maps, graphs, and tables on this website are not intended to convey information about causal relationships, and the NCI does not endorse any conclusions or inferences that individual users may draw from the maps, tables, or graphs produced by this website. Learn more about cancer.

Browser considerations: Firefox and IE 8 on Windows XP have difficulties displaying the following demonstrations. IE 7 on Windows Vista also has difficulties. Demonstrations can be successfully viewed using IE 8 on Windows 7, and Firefox and Safari on Mac. Flash is required for all browsers.

Using the demo: This demo shows a chart of the number of states with policies regulating use of tobacco in bars, restaurants, and workplaces from 1990 to 2007.


Data series used in this demo:
* NCI internal dataset

Contributors

National Cancer Institute

  • Abdul R. Shaikh
  • Richard Moser
  • Bradford W. Hesse
  • Glen D. Morgan
  • Erik M. Augustson
  • Yvonne Hunt
  • Zaria Tatalovich
  • Gordon Willis
  • Kelly Blake
  • Paul Courtney (contractor)
  • Lila Finney (contractor)
  • Amy Sanders (contractor)

Rensselaer Polytechnic Institute

  • Deborah L. McGuinness
  • Li Ding
  • Tim Lebo
  • Jim McCusker

Northwestern University

  • Noshir Contractor
  • Yun Huang
  • Hugh Devlin
  • York Yao
Uses Dataset: 
Uses Technology: 
Uses Technology: 
Uses Technology: 
Uses Technology: 
Uses SPARQL Query: 
Uses SPARQL Endpoint: 
Screen Shot: 
Thumbnail: 
  • Login to post comments
  • 3032 reads

Data.gov survey: Raw dataset modification dates

Description: 
This demonstration shows when the data.gov datasets were last updated, as determined by their HTTP header responses. How up-to-date are the datasets listed in data.gov? We start with a time line histogram for a moment in time.
Contributor:
Live Demo: 
Try the new version to compare crawls.
On the afternoon of 21 Sept, 2010, we crawled data.gov's links to data sources and recorded the modification dates reported by the source agency's HTTP servers. Of __ data.gov datasets, __ datasets returned HTTP last-modified dates. The list of data.gov datasets came from the 13 Sept 2010 version of their Dataset 92.

Process used

The following diagram shows the process used to obtain the last-modified dates of the data.gov datasets.

Use of provenance

The following diagram illustrates how the Proof Markup Language was used to record the HTTP headers obtained from the government agency servers. A portion of this data graph is selected by the SPARQL query listed above (the headers are excluded). The red links show the HTTP redirects and HTML anchor hrefs from the data.gov details page to the actual dataset URL on the hosting agency's domain. The green boxes represent URIs for the information obtained (HTTP headers), while the purple boxes associate the information received with its source and when it was received. For more discussion on how provenance is used in LOGD and csv2rdf4lod, see A look at how csv2rdf4lod incorporates provenance into its tabular conversions.
Uses Dataset: 
Uses Technology: 
Uses Technology: 
Uses Technology: 
Uses Technology: 
Uses Technology: 
Uses Technology: 
Uses Technology: 
Uses SPARQL Query: 
Uses SPARQL Endpoint: 
Screen Shot: 
Thumbnail: 
  • Login to post comments
  • 4827 reads

Trends in Smoking Prevalence, Tobacco Policy Coverage and Tobacco Prices (1991-2007)

Description: 
A PopSciGrid demo that illustrates how tobacco policy coverage rate, cigarette price/tax, and smoking rate have changed over time.
Contributor:
Contributor:
Live Demo: 

This demo is part of the Population Sciences Grid Project. For more information, please contact Professor Deborah McGuinness.

Please note: The National Cancer Institute’s (NCI) PopSciGrid Community Health Data Portal enables users to explore the relationship between cancer risk factors, health outcomes, and factors in the social and political environment. The maps, graphs, and tables on this website are not intended to convey information about causal relationships, and the NCI does not endorse any conclusions or inferences that individual users may draw from the maps, tables, or graphs produced by this website. Learn more about cancer.

Browser considerations: Firefox and IE 8 on Windows XP have difficulties displaying the following demonstrations. IE 7 on Windows Vista also has difficulties. Demonstrations can be successfully viewed using IE 8 on Windows 7, and Firefox and Safari on Mac. Flash is required for all browsers.

Using the demo: Select a year and a data series to show a heatmap that compares data for different states on a US map (the map may be blank in some combination because impacteen datasets (other than the policy data) only cover data between 1991 and 2007). Select a state to show the evolution of data series from 1991 to 2007.

year:
data:


state:








Smoking prevalence refers to the estimated percentage of adults in the US who currently smoke.

PopSciGrid Project Contributors

National Cancer Institute

  • Abdul R. Shaikh
  • Richard Moser
  • Bradford W. Hesse
  • Glen D. Morgan
  • Erik M. Augustson
  • Yvonne Hunt
  • Zaria Tatalovich
  • Gordon Willis
  • Kelly Blake
  • Paul Courtney (contractor)
  • Lila Finney (contractor)
  • Amy Sanders (contractor)

Rensselaer Polytechnic Institute

  • Deborah L. McGuinness
  • Li Ding
  • Tim Lebo
  • Jim McCusker

Northwestern University

  • Noshir Contractor
  • Yun Huang
  • Hugh Devlin
  • York Yao
Uses Dataset: 
Uses Dataset: 
Uses Technology: 
Uses Technology: 
Uses Technology: 
Uses Technology: 
Uses SPARQL Query: 
Uses SPARQL Query: 
Uses SPARQL Endpoint: 
Screen Shot: 
Thumbnail: 
  • Login to post comments
  • 18579 reads

Interative US Tobacco Policy Coverage Map (1990-2009)

Description: 
This demo illustrates how tobacco policy coverage has changed over time.
Contributor:
Select a year and a data series (workplace, restaurant or bar) to show a map of the U.S. that compares data for different states on a US map. Select a state to show the change of all data series in the selected state from 1990 to 2009 .
year: data: state:
Following are data series used in this demo:
* NCI internal dataset (needs more information)
Uses Dataset: 
Uses Technology: 
Uses Technology: 
Uses Technology: 
Uses Technology: 
Uses SPARQL Query: 
Uses SPARQL Endpoint: 
Screen Shot: 
Thumbnail: 
Syndicate content