7. Exploratory Methods (IB533 110.1)

Unit Outlines：

◆ Exploration : Comparing the Subject’s Attributes

◆ Data Summary => Visualization => Methods

◆ Multi-Variable => Multi-Dimension Space

◆ Clustering: Groups of Similar Subjects

◆ Dimension Reduction: Reduce No. Variables

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Unit Notebook：

◆ Wholesales Data (unit07A.html)

◆ Airline Customer Segmentation (unit07B.html)

◆ Decathlon Athletes (unit07C.html)

◆ Perception Map (unit07D.html)

Tafeng POS Data：

◆ TF1_Data_Prep (1_Pred.html)

◆ TF2_Exploration (2_Explore.html)

◆ TF3_Customer_Value (3_CustValue.html)

◆ TF3_Product_Info (4_ProductInfo.html)

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Google Drive： 

◆ Course Material : [  ~/material/ ]

◆ Unit07:  [ ~/material/07_clustering/ ]

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Unit07 Assignment： Due: 2021/12/05 (Sun.) 23:59

Group Assignment: Midterm Report

Applying the EDA techniques we’ve learned to the Tafeng data

Knit your final exploration notebook and upload the HTML file to

[ ~/g_html/group#/ ] with filename “G#_Midterm.html”

Prepare a 8 minutes presentation to be delivered in the class of 12/06

[ ~/g_html/group#/ ] with filename “G#_Midterm.pptx”

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參考連結：

◆  From Data to Viz

◆  Portal of Big Data BA Platform

◆  R: Self Learning Roadmap

◆  John Hopkins: R Programming online course

◆  John Hopkins: R Programming eBook

◆  Harvard: Data Science online course

◆  Harvard: Data Science ebook

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◆ Week07c Video Recording

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