#!/usr/bin/env python
# coding: utf-8

# [대한민국 SNS 이용현황](http://m.blog.naver.com/mobidays01/220331132165) 블로그 글에 표시된 그림을 좀 다르게 그려보자
# 
# ![](http://mblogthumb1.phinf.naver.net/20150414_20/mobidays01_14290006372183j5KB_JPEG/mobidays_sns%C0%CC%BF%EB%C7%F6%C8%B2.jpg?type=w2)

# In[29]:


get_ipython().run_line_magic('matplotlib', 'inline')


# In[1]:


import pandas as pd


# In[89]:


get_ipython().system('cat korean_social_networks.csv')


# In[36]:


data = pd.read_csv("korean_social_networks.csv", index_col=0)


# In[37]:


data


# In[38]:


columns = ['10s', '20s', '30s', '40s', '50s']

def calculate_real(row):
    return pd.Series([int(row[col] * row['mau']) for col in target_columns], index=columns)

data[columns] = data.apply(calculate_real, axis=1)


# In[39]:


data


# In[86]:


data[columns].plot(kind="barh", stacked=True, figsize=(8,4), title="By services")


# In[88]:


data[columns].T.plot(kind="barh", stacked=True, figsize=(8, 4), 
                     title="By ages").legend(loc='center right', bbox_to_anchor=(1.3,0.5))


# In[ ]: