JKISeason3-3_​tark

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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?

Authors: Thor Landstrom

Dataset: Real Estate Data in the KNIME Community Hub

URL: JKISeason3-3 https://www.knime.com/just-knime-it?pk_vid=183a7605bbf7d330171725409127e10b
URL: Datasets https://hub.knime.com/-/spaces/-/~5HAA3T665N_vR9Ga/

Nodes

• Geospatial View3 ×
• Text View3 ×
• Math Formula2 ×
• RowID2 ×
• Sorter2 ×
• Table View2 ×
• Bar Chart1 ×
• CSV Reader1 ×
• Column Filter1 ×
• Column Renamer1 ×
• Column Splitter1 ×
• Component Input1 ×
• Component Output1 ×
• Domain Calculator1 ×
• GroupBy1 ×
• Normalizer1 ×
• Number To String1 ×
• Numeric Scorer1 ×
• Partitioning1 ×
• Random Forest Learner (Regression)1 ×
• Random Forest Predictor (Regression)1 ×
• Scatter Plot1 ×

Extensions

• FeatureKNIME Base nodes
• FeatureKNIME Ensemble Learning Wrappers
• FeatureKNIME Math Expression (JEP)
• FeatureKNIME Views

Links

• No links available