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Exploratory Data Analysis that tries to understand what variables influence the selling price of properties in Buenos Aires City. Languages and Technologies: Python, Pandas, Jupyter Notebook, Google Maps API.

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Exploratory Data Analysis - Analytics

Languages and Technologies:

Python, Pandas, Jupyter Notebook, Google Maps API.


alt text

Properati is a real estate portal born in Argentina in 2012. Currently over 3 million people visit Properati every month in Latam, browsing over 2.1 million properties in stock.

By using their public datasets, this repository contains an Exploratory Data Analysis that tries to understand what variables influence the selling price of properties in Buenos Aires City.

Taking into consideration the insights produced, a study that predicts properties selling prices using Machine Learning algorithms can be found here.


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Facultad de Ingeniería de la Universidad de Buenos Aires

TP1 ORGANIZACION DE DATOS 75.06

Análisis de Datos - Properati

Se realizó un análisis exploratorio del set de datos de ventas de Properati. Éste contiene un registro histórico de publicaciones de ventas de propiedades en CABA y Gran Buenos Aires.

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Exploratory Data Analysis that tries to understand what variables influence the selling price of properties in Buenos Aires City. Languages and Technologies: Python, Pandas, Jupyter Notebook, Google Maps API.

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