text: import pandas as pd
  import folium
  
  county_data = pd.read_csv('./src/county_data.csv')
  county_data['fips'] = county_data['fips'].astype(str)
  
  m = folium.Map(location=[41.95, -93.5], zoom_start=7)
  
  m.choropleth(
      geo_data=r'./src/county_geo.json',
      data=county_data,
      columns=['fips', 'county_consumption'],
      key_on='feature.id',
      fill_color='PuRd',
      fill_opacity=0.9,
      line_opacity=0.2,
      legend_name='Sales (Millions of Liters)',
  )
  m.save('./img/liquor_sales_choropleth_map.html')
  
  
  
  
  
  # import pandas as pd
  # import folium
  
  # unemployment = pd.read_csv('./src/US_Unemployment_Oct2012.csv')
  
  # m = folium.Map([43,-100], zoom_start=4)
  
  # m.choropleth(
  #     geo_data=r'./src/us-states.json',
  #     data=unemployment,
  #     columns=['State', 'Unemployment'],
  #     key_on='feature.id',
  #     fill_color='YlGn',
  #     )
  # m.save('./img/liquor_sales_choropleth_map.html')
  