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Visualization of Italy Geolocalized Data using D3.js

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AGE DISTRIBUTION IN ITALY

This project was done for the exam of Scientific and Large Data Visualization in the master degree of Computer Science in the University of Pisa.

It's an interactive tool to visualize the distribution of the Italian population in the period from 1952 to 2065. It is possible to inspect the data relative to the national territory, the regions and, for the restricted period of 1982-2017, the provinces and the municipalities.

You can take a look here to see the project in action.

STRUCTURE

The page is structured as:

  • top - It contains the hierarchy of the places you're currently seeing. You can use that just as a remainder of the path you went down or to zoom out back to Italy. Another way to zoom out is by clicking on the magnifier or on the white space surrounding the map. In order to get a more general idea of the distribution you can decide to reduce the number of bars in the histogram by grouping them.
  • middle left - In this section there are some global information about the place visualized. You can either check the trend of the total population or the number of births in the maximum interval available. To make it easier to anyalize a small white dot marks the value in the current year. Moreover it's possible to visualize the charts showing the data in the interval from 0 to maximum or from minimum to maximum. In the first case it's easier to understand the actual value, while in the second more attention is payed to the perturbations in the data.
  • middle center - Here you can visalize the map of the place. You can navigate through the many levels of precision by clicking on the area you want to deepen. The colors in the map show the differences in the average age. A grey color symbolize that there are no data available for that place while a uniform color in all the places means that the data is not available just for that period. By hovering on a place you can read the name of a place in the tooltip and in the histogram it will appear the contribution of that place to the total population.
  • middle right - This part contains the timeline and the histogram. The first allows you to move around different periods of time, you can do it either by dragging the cursor, using the arrow keys or simply by clicking on the "play" button. The past and future sections are available only for the whole nation and for the regions. The histogram shows the number of people present for each age (from 0 to 99) in that place. The blue part on the left represent the male population while the pink one the females. The darker horizontal line indicates the average age.

TOOLS

The main tools I used to realize this project are:

  • d3.js - The JavaScript library D3.js is useful for manipulating documents based on data. D3 allows you to bind arbitrary data to a DOM, and then apply data-driven transformations to create interactive and smooth transitions.
  • istat - Istat is the italian national institute for statistics. The data I worked with is under the "Population and Households" section. In particular I took from "Inter censuses population" the reconstructed data from 1952 to 1981 and from 1982 to 2010, in "Population/Resident population on 1st January" I took the data from 2011 to 2017, while the forecast from 2018 to 2065 are taken from the "Demographic projections".

USEFUL LINKS

Below there's a list of examples and tutorials I found useful to understand how to do some functionalities of the project.

  • topojson files - A set of well formatted data needed to draw the map.
  • istat api - An automated way to retrieve or download the data from istat.
  • draw a map - A simple tutorial on how to draw a map using d3.js
  • zoom to bounding box - An example on how to zoom in and out centering the on a place on the map.
  • read from csv - A basic tutorial on how to read from csv using d3.js and expoit the data to draw a bar chart.
  • color scale - A function to interpolate a scale of colors.
  • tooltip - A little project on how to append a tooltip cointaing some information to the mouse position.

License

This project is licensed under the MIT License.

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  • JavaScript 77.2%
  • Python 10.7%
  • CSS 7.5%
  • HTML 4.6%