Hello and welcome to Open Citizen Data Scientist!
Today we will see possible ways to estimate which parts of a city are relatively better or worse off than average by using the census variables we gathered in our previous post along with available income open data on a city basis.
Sunday, 24 March 2019
Sunday, 17 March 2019
Digging deeper in the census data part 7: Building type and status
Hello and welcome to Open Citizen Data Science!
Today we will look into the last part of the census data, regarding building types (residential VS non residential), their composition and their status.
This last part is pretty important as it describes the physical landscape in many ways, allowing us to determine if we're looking at an old hamlet or part of an urban sprawl for example.
Let's take for example the center of the area with the most buildings:
Today we will look into the last part of the census data, regarding building types (residential VS non residential), their composition and their status.
This last part is pretty important as it describes the physical landscape in many ways, allowing us to determine if we're looking at an old hamlet or part of an urban sprawl for example.
Let's take for example the center of the area with the most buildings:
Not what one could expect |
Sunday, 3 March 2019
Digging deeper in the census data part 6: Building Usage
Hello and welcome to Open Citizen Data Science!
Today we will explore building usage by residents, plus occupation and ownership rates.
Today we will explore building usage by residents, plus occupation and ownership rates.
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