• 基礎數據分析12堂課

HDI人類發展指數

• 講義
• 影片

• 上傳csv檔案    

  from google.colab import files
  data = files.upload()

  世界HDI指數(HDI_world.csv)

  import pandas as pd
  import numpy as np
  import csv
  # 讀取HDI資料
  data1 = pd.read_csv('HDI_world.csv')
  
  country = ['日本', '南韓', '中國']
  years = np.linspace(1990, 2017, 28)
  
  #日本
  HDI_country1 = data1.loc[85]
  
  #南韓
  HDI_country2 = data1.loc[90]
  
  #中國
  HDI_country3 = data1.loc[35]
  
  # 匯入plotly套件，以便繪製視覺化圖形
  from plotly.offline import download_plotlyjs, init_notebook_mode, plot, iplot
  import plotly.graph_objs as go
  
  # Create traces
  trace1 = go.Scatter(
     x = years,
     y = HDI_country1,
     mode = 'lines+markers',
     name = country[0]
  )
  
  # Create traces
  trace2 = go.Scatter(
     x = years,
     y = HDI_country2,
     mode = 'lines+markers',
     name = country[1]
  )
  
  # Create traces
  trace3 = go.Scatter(
     x = years,
     y = HDI_country3,
     mode = 'lines+markers',
     name = country[2]
  )
  
  data = [trace1, trace2, trace3]
  
  iplot(data, filename='scatter-mode')