Resources and Content Helping Build Data-Driven Projects

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REPORT SAMPLES

All our data is modelled to current year and is available at postal code level (typically 20-35 people or 10-15 households per postal code), DA level (typically 400-700 people or 150-270 households per DA or Dissemination Area), CT level, FSA level (typically 23,000 people or 9,500 households per FSA), CSD, CD, CMA, and custom geographic levels.

REPORT SAMPLES

CASE STUDIES

PUBLICATIONS

DATA

METHODOLOGIES

REFERENCES

 

CASE STUDIES

United Way
Red Cross
AIG

PUBLICATIONS

Clustering and visualization of a high dimensional dataset. Manifold and University of Rzeszow have jointly developed an approach to cluster and visualize high dimensional datasets. The application to a diabetes dataset reveals important factors that can help patients improve manage their conditions and quality of life.
A Recommendation for Improvement of Quality of Life Using Contrast Patterns. Using Contrast Pattern Based Collaborative Behavior, we developed a recommendation system for people with high-risk of chronic diseases to identify the most effective behaviours and develop positive psychological attitudes to improve their conditions, and reduce healthcare cost. Sentiment analysis and opinion mining of emotion, affect, subjective experience and perception were performed to find factors that have a direct effect on people’s behaviours.
Diabetes
Census 2016 
Census 2021

METHODOLOGY

Creating and Updating Estimates and Projections
CanaCode Lifestyle Clusters
Notes on Census NHS for Updating Super Demographics
Color codes and definition of indexes

 

REFERENCES

Data Update
CanaCode Summary
CanaCode Major Lifestyles
CanaCode Niche Lifestyles
Standard Geography
Geographic Terms
Type of Census Division
Type of Census Sub-Division
Data Sources
Vividata Data Product Description
Numeris Data Product Description
Numeris Scale Conversion
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