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
Estimating Census Area income using open data and Alteryx Part I: Influencing variables and Correlation VS Random Forest
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.
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, 17 March 2019
Digging deeper in the census data part 7: Building type and status
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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
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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.
Sunday, 24 February 2019
Digging deeper in the census data part 5: Ethnical Distribution
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In our previous post we dealt with jobs and unemployment, which along with education levels showed some strong influence over socio-economic conditions.
Today we will deal with census data about something that has recently become an hot topic in many countries: immigration and how it changes the ethnic make-up of many areas.
In our previous post we dealt with jobs and unemployment, which along with education levels showed some strong influence over socio-economic conditions.
Today we will deal with census data about something that has recently become an hot topic in many countries: immigration and how it changes the ethnic make-up of many areas.
Sunday, 17 February 2019
Digging deeper in the census data part 4: Jobs and Unemployment
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In our previous post we dealt with educational levels and discovered how outliers can be more frequent than expected, making some areas hard to analyze for many variables.
Following educational levels, employment is another extremely important set of information.
In our previous post we dealt with educational levels and discovered how outliers can be more frequent than expected, making some areas hard to analyze for many variables.
Following educational levels, employment is another extremely important set of information.
Sunday, 10 February 2019
Digging deeper in the census data part 3: Determining Education Levels
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In this article we will look into the census variables related to educational levels.
Strictly related to the demographic segments we treated in our previous article, education is an important variable in defining demographic segments, especially in Italy where university graduates are relatively fewer compared to EU averages.
In this article we will look into the census variables related to educational levels.
Strictly related to the demographic segments we treated in our previous article, education is an important variable in defining demographic segments, especially in Italy where university graduates are relatively fewer compared to EU averages.
Sunday, 3 February 2019
Digging deeper in the census data part 2: Age segmentation
Hello and welcome to Open Citizen Data Science!
In this article we will look into the census variables related to population age.
Knowing if a neighbourhood is populated mostly by working age people opposed to pensioners could make a world of difference depending on what is being researched on.
Not only the general tastes of different generations changes but also the kind of services that are required. A lack of schools near a zone with an high percentage of pre-schoolers for example could indicate both a potential business niche for private child care or a place in troubled socio-economic status.
In this article we will look into the census variables related to population age.
Knowing if a neighbourhood is populated mostly by working age people opposed to pensioners could make a world of difference depending on what is being researched on.
Not only the general tastes of different generations changes but also the kind of services that are required. A lack of schools near a zone with an high percentage of pre-schoolers for example could indicate both a potential business niche for private child care or a place in troubled socio-economic status.
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