n2 Data Science Programming
  • 【NTU CS+X】資料科學程式設計
  • week 1
    • Git & Github
    • RStudio
    • R Basic
    • R markdown
    • Task 1
  • week 2
    • Package
    • Pipes
    • Data manipulation
    • Data visualization
    • Task 2
  • week 3
    • EDA
    • Text Mining
    • Task 3
  • week 4
    • Crawler
    • Statistics
    • Task 4
  • week 5
    • Shiny
  • week 6
    • Past Projects
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  • 什麼是 EDA
  • EDA in R
  1. week 3

EDA

探索式資料分析(Exploratory Data Analysis,簡稱 EDA),就是運用視覺化、基本的統計等工具,來「看」一下資料,讓我們在進行複雜或嚴謹的分析之前,能夠對資料有更多的認識。

什麼是 EDA

  • Goals of EDA - Data Analysis with R

  • 淺談探索式資料分析 -- 從一個資安小故事談起

  • Exploratory Data Analysis

EDA in R

  • 輕鬆學習R語言第 12 章 - 探索資料分析

  • R for Data Science 6 Exploratory Data Analysis (EDA)

  • [Datacamp] Exploratory Data Analysis

  • Examples

    • 探索性資料分析 — 以YouBike為例

    • Titanic: 2nd degree families and majority voting

    • The Ugly Truth of People Decisions in Speed Dating

    • Exploring Kobe’s Shots

    • Should I stay or should I go? - KKBox EDA

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