• R_資料科學程式設計
  • Introduction
  • week_1
    • 1 Environment Setting
    • 2 Git & GitHub Intro
    • 3 R Basic I
    • week_1 Task
  • week_2
    • 1 R Basic II
    • 2 Markdown
    • 3 R Markdown
    • 4 R Crawler
    • week_2 Task
  • week_3
    • 1 Preprocess the data faster
    • 2 Before we visualize data
    • 3 Plot with basic function
    • 4 Plot with ggplot2 & plotly
    • week_3 Task
  • week_4
    • 1 Scrape with openAPI
    • 2 Visualization Example
    • week_4 Task
  • week_5
    • 1 Exploratory Data Analysis
    • 2 Text Mining - TF-IDF Intro
    • 3 Text Mining - word2vec Intro
    • week_5 Task
  • week_6
  • week_7
    • 1 ML/DL Resources
  • week_8
  • week_9
  • week_10
  • week_11 & 12
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2 Visualization Example

week_4


2 Visualization Example(tentative)

  • R Leaflet Map Visualization.

    • Leaflet for R official

    • 地圖套件:繪製網頁互動式地圖,呈現經緯度座標資料

    • About geojson

      • 什麼是geojson?

      • Try geojson.io

        • check 地理區塊自己畫 – 使用 geojson.io
      • Drawing leaflet with GeoJSON & TopoJSON 

  • R Social Network Analysis Graph

    • 關於社會網絡分析(Social Network Analysis)

      • 什麼是社會網路分析

      • Social Network Analysis intro slides

      • Social Network Visualization

    • 關於R的sna與igraph套件

      • 套件連結

        • sna package manual

        • igraph package manual

      • 範例參考:

        • 快速了解 -> 數據科學中的R與Python
        • 完整學習 -> Stanford Social Network Analysis Labs in R and SoNIA
        • 完整學習 -> Social Networks in R Shizuka Lab
  • R Text Mining.

    • Text mining and word cloud fundamentals in R : 5 simple steps you should know
    • [An introduction to data cleaning with R](https://cran.r-project.org/doc/contrib/de_Jonge+van_der_Loo-Introduction_to_data_cleaning_with_R.pdf)
    • Package ‘wordcloud’

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