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I used latitude and longitude values to get the visual as below: I utilized the Foursquare API to explore the boroughs and segment them.I designed the limit as 100 venue and the radius 1400 meter for each borough from their given latitude and longitude information.

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The population density is 14,500/sq mi.[1]London is a city with a high population and population density.

As from Real Estate investor point of view we want to invest in such places were the housing prices are low and the facilities(shops,restaurants,parks, Hotels, etc.) and social venues are nearby.

Bexley, Croydon, and Sutton Boroughs have very low house prices but have good venues to visit nearby.

As people are turning to big cities to start a business or work.

Often they are built around the competencies professional organizations have identified they need in individuals who pursue those careers.

While these professional competencies vary amongst profession, there is a core set of skills to all of them.

This article will contain the following steps that are necessary for any Data Science project: London is the capital of and largest city in England and the United Kingdom, with the largest municipal population in the European Union.

London has a diverse range of people and cultures, and more than 300 languages are spoken in the region.

Almost all low price neighborhoods are close to restaurants, pubs, sports facilities etc.

Some Boroughs such as Westminster, and Kensington and Chelsea have very high house prices.

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