Client:

Oxway

Solution:

Dashboards and data visualization

What's next for Milan's Expo area?

Description

Background

Upon conclusion of EXPO Milan, Italian newspaper Corriere della Sera commissioned Oxway to conduct a survey to identify citizen’s preferences regarding the future use of the EXPO area.

The data application pulls in qualitative data based on an analysis of open-ended survey questions that organizes them into topical clusters according to the kind of proposal and sociodemographic criteria. With this visualization, users can explore and analyze each of these answers to determine the public preference for the future of the EXPO Milan area.

Visualize the alternative proposals and popular vote results of a qualitative public opinion study on what to do with the spaces of the Milan EXPO area after its conclusion.

An innovative and engaging way to present and communicate the survey results allowed public opinion to influence the fate of the space, while supporting public understanding of what the favoured alternatives were.

Visualization of the proposals and vote results of a public opinion study on what to do with the spaces of the EXPO area after its conclusion.

Year:

2016

Industry:

Education & Culture

The interactive dashboard

Users can explore and analyze each of these answers to determine the public’s preference for the future of the EXPO Milan area.

We designed an interactive application which allows the user to explore and analyze every single open-ended response through organization of answers into topical clusters according to socio-demographic criteria.

A data visualization dashboard displays a cluster of colored dots representing different categories, alongside demographic filters and voting statistics.
A data visualization shows clusters of colored dots, each labeled with categories like "Art/Museum," "Bar/Concert," and "Research/Technology."

The visualization module

Every circle represents each one of the 977 proposals. Its position relates to its affinity with one or more of the 5 macro-categories. 

Filtering the view

Results can be filtered through different parameters. The data complexity is then translated into a color scheme.

User interface with a vertical slider and options to color by Typology, Gender, Age, Education, Profession, Geography, and Income"
A detailed digital dashboard displays "Voters registry" with bar charts for Gender, Age, Education, Profession, Geography, and Income data.

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