Abstract:

Statisticians, data scientists and software programmers/engineers who develop technological infrastructure to enable performing analytics are in high demand with the increasing importance and usage of big data in the last decades. The main goal of subject matter experts is to extract actionable insight from big data, and if possible, to deliver these insights with effective and simple visualizations. This study aims to draw attention to important, even sometimes unrivaled convenience offered to the relevant target audience by visualizations, which were created with big data analysis on an application related to real estate sector. For this purpose, by means of R program, and as a tool to ease the housing selections; user-friendly and dynamic-structured infographics were created. Thus, individuals, who are planning to buy houses, are given the opportunity to make selections by using infographics which enable them to take essential criteria into consideration - such as the age of the property, area measures, number of rooms, price; are sensitive to data variations and allow to make comparison between cities/districts.

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