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What’s Next?

We have just scratched the surface in terms of how you use visualization and analysis in GIS to better understand this language data. For example, another interesting analysis could be to use household income data to visualize the relationship between the distribution of languages spoken and household income. Are speakers of the different Chinese-origin languages distributed in relation to household income that might tell us something?

To learn more about the data we have been working with and Canada’s language data, in general, below are some links to resources to explore further.

Languages Reference Guide, Census of Population, 2016

Immigrant languages in Canada

2016 Census topic: Language

Data visualisation: Proportion of mother tongue responses for various regions in Canada

You may also be interested in the use of other GIS software to analyze Census data. Below are some links to tutorials and resources to get you started.

R

Languages Spoken at Home

  • working with dot density in R

canlang

  • The goal of {canlang} is to easily share language data collected in the 2016 Canadian census. This data was retrieved from the 2016 Canadian census data set using the {cancensus} R package

Language Diversity in Canada

Introduction to Using R for Evaluating Census Data

Using R To Extract Census Data from Statistics Canada

QGIS

Introduction to QGIS and Geoprocessing using the Census of Canada

QGIS Training Tutorials: Using Spatial Data in Geographic Information Systems