About this Dataroom
The main topic of this dataset is geographical connectivity. The data here presented is built upon two major beliefs: (1) great cities are interdependent and benefit greatly from being connected to each other and (2) their inhabitants favor geographical spaces where they can find healthy amounts of cultural diversity.
The fundamental basis for this study is EIU's Liveability Index itself, which I assume as valid for the chosen variables. I try to refine it and to contribute with some thoughts on a new area I think is worth of serious consideration: geographical interdependence. For instance, the quality of living in an isolated weak city is very different from the quality of living in a weak city in the proximity of some great cities. Moreover, the quality of living in a great city in the middle of nowhere is expected to be lower than in an equaly great city built among other good cities.
Additionaly, I assume geographical spaces with greater cultural diversity to hold more potential for individuals to realize their potential and live flourished and vibrant lives. To make this distinction I assume the language of a city to be a simple and fair indicator of its cultural path and heritage.
(For interactive visualizations check out my tableaupublic's page [user: jtascensao].)
(All distances calculated using Google Maps software.)
% Liveability Scoring vs. Median Distance to all >90% Cities vs. Number of >90% Cities with Different Country and Different Language within 1000 km
EIU's Liveability Index + Number of >90% Cities with Different Country and Different Language within 1000 km
EIU's Liveability Score vs. Median Distance to all 21 >90% Cities (all cities)
Closest >90% City with Different Country and Different Language (all cities)
Closest >90% City with Different Country and Different Language (>90% cities)
Closest >90% City with Different Country and Different Language per City of Arrival
Distance from all Cities to all the 21 >90% Cities
>90% Cities per Continent and Language