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In [1]:

    
%matplotlib inline

import numpy as np
import pandas as pd

import matplotlib.pyplot as plt
import seaborn as sns

sns.set_context("poster")
sns.set_style("ticks")



In [2]:

    
# Data Source
df = pd.read_csv('https://query.data.world/s/3qum2c3mvf9f6sbzecxu8wpa4')



In [3]:

    
df.head()



In [4]:

    
df.shape









    Out[4]:





(11, 7)



In [5]:

    
df



In [6]:

    
df.plot(x="Year")
plt.yscale("log")



In [ ]:

	Year	under30	30_39	40_49	50_59	60+	unknown
0	2004	146.0	114.0	49.2	30.9	6.1	0.9
1	2005	161.0	129.0	55.6	38.3	8.2	0.7
2	2006	194.0	154.0	69.4	47.9	13.2	0.3
3	2007	217.0	171.0	81.7	55.4	15.8	0.4
4	2008	248.0	202.0	95.7	67.1	20.0	0.5

	Year	under30	30_39	40_49	50_59	60+	unknown
0	2004	146.0	114.0	49.2	30.9	6.1	0.90
1	2005	161.0	129.0	55.6	38.3	8.2	0.70
2	2006	194.0	154.0	69.4	47.9	13.2	0.30
3	2007	217.0	171.0	81.7	55.4	15.8	0.40
4	2008	248.0	202.0	95.7	67.1	20.0	0.50
5	2009	273.0	229.0	109.0	77.7	25.0	0.70
6	2010	299.0	257.0	127.0	90.5	29.1	0.90
7	2011	312.0	281.0	140.0	97.2	35.2	0.90
8	2012	320.0	320.0	163.0	113.0	42.6	1.30
9	2013	356.0	354.0	184.0	126.0	49.4	1.60
10	2014	369.0	383.0	208.0	136.0	58.0	1.83