My Projects

Datablog

Talking about Tableau, Data Journalism and Data Visualization

martedì 18 luglio 2017

Tourism in Italy

Here I am, after a long time, to update this blog with new vizzes!

What are the most visited regions and provinces in Italy? Starting from the data released by the Bank of Italy, which has been conducting an annual survey of tourism since 1996, I tried to find value in the data with an interactive graphic.

This time I used a Snowflake Chart, a useful graph when you want to visualize herarchies. I went through this kind of visualization thanks to Ken Flerlage and his blog, where I explained how to build it.

This Viz was published on InfoData Blog - Il Sole 24 Ore, at this link:
http://www.infodata.ilsole24ore.com/2017/03/21/quali-le-province-piu-visitate-dai-viaggiatori-stranieri-nel-nostro-paese/


lunedì 10 aprile 2017

Travelers 2016

The Bank of Italy carries out a sample survey on tourism every year, since 1996, based on interviews and counts of travelers residents and non-residents in transit to the Italian border.
A total of 64583 thousand Italians traveled during 2016. It is a number greater than the one recorded during 2015, when only 62870 thousand travelers left Italy for a foreign country. At he same time a total of 82873 thousands tourists traveled to Italy during 2016. It is a number greater than the one recorded during 2015, when only 81635 thousand travelers came to Italy from their countries.

I created two different dataviz, published with a piece about tourism in 2016 on InfoData Blog - Il Sole 24 Ore, at this link:
http://www.infodata.ilsole24ore.com/2017/03/19/quanto-spendono-vanno-viaggiatori-italiani-numeri-del-turismo-2016/


Young People Living Arrangements

The Affordable Housing Database (AHD) has been developed to help countries monitor access to good-quality affordable housing and strengthen the knowledge base for policy evaluation. It brings together cross-national information from OECD countries and EU member states. 
The database currently includes indicators grouped along three main dimensions: housing market context, housing conditions, and public policies towards affordable housing. Each indicator presents data on a particular issue, relevant definitions and methodology, as well as key results. Indicators also discuss comparability, data and source issues, and, where relevant, include the raw data or descriptive information across countries.

I looked at the young people living arrangements. In Italy more than 80% of the young people between 15 and 29 still live with their parents. This is what emerges from the analysis of OECD data. The Italians are also in last place of young people who stay with their partner, only 11.1%.

You can read the full article on InfoData Blog - Il Sole 24 Ore, at this link:

Here's the dataviz: