JKISeason3-3_​sryu

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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?

Nodes

• Text View5 ×
• Table View4 ×
• Generic ECharts View3 ×
• Column Renamer2 ×
• Column Selection Widget2 ×
• Component Input2 ×
• Component Output2 ×
• GroupBy2 ×
• Math Formula2 ×
• Partitioning2 ×
• RowID2 ×
• Sorter2 ×
• Bar Chart1 ×
• CSV Reader1 ×
• Cell Splitter1 ×
• Column Filter1 ×
• Column Resorter1 ×
• Constant Value Column1 ×
• Domain Calculator1 ×
• Date&Time Part Extractor1 ×
• Linear Correlation1 ×
• Missing Value1 ×
• Number To String1 ×
• Numeric Binner1 ×
• Numeric Scorer1 ×
• Row Filter1 ×
• String to Date&Time1 ×
• Transpose1 ×
• Top k Row Filter1 ×
• XGBoost Predictor (Regression)1 ×
• XGBoost Tree Ensemble Learner (Regression)1 ×

Extensions

• FeatureKNIME Base nodes
• FeatureKNIME Math Expression (JEP)
• FeatureKNIME Quick Forms
• FeatureKNIME Views
• FeatureKNIME XGBoost Integration

Links

• No links available