Real Estate Analytics
Challenge 3
Level: Easy
Description: You are a real estate agent working in a new city, and to perform well your first task involves understanding the houses in the region better. A colleague shares a dataset with you and now it’s time for you to explore it. What has been the average housing price, lot size (in acres), and living space (in sqft) in this city, according to her dataset? How are prices distributed and correlated with housing features? What other insights can you gather from this dataset?
Challenge author: Thor Landstrom
Dataset: Real Estate Data in the KNIME Community Hub
Workflow creator: Carlos Enrique Diaz
Workflow
JKISeason3-3
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Used extensions & nodes
Created with KNIME Analytics Platform version 5.2.4
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SDL, Harvard, Cambridge US
Version 1.2.0
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KNIME AG, Zurich, Switzerland
Version 5.2.4
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KNIME AG, Zurich, Switzerland
Version 5.2.0
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KNIME AG, Zurich, Switzerland
Version 5.2.4
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KNIME AG, Zurich, Switzerland
Version 5.2.0
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KNIME AG, Zurich, Switzerland
Version 5.2.4
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