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In [144]:

    
%matplotlib inline
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
plt.style.use('ggplot')
import plotly.plotly as py
from plotly.graph_objs import *
import plotly.tools as tls



In [117]:

    
df = pd.read_csv('disc.csv', sep=' ')



In [118]:

    
df









    Out[118]:






  
    
      
      Human
      Decisive
      Interactive
      Stability
      Cautious
    
  
  
    
      0
      Greg
      10
      99
      99
      77
    
    
      1
      Dave
      42
      46
      88
      67
    
    
      2
      Fisch
      49
      28
      88
      77
    
    
      3
      Damon
      35
      60
      77
      67
    
    
      4
      Kimberly
      21
      46
      88
      99
    
    
      5
      Magnus
      25
      67
      88
      53
    
    
      6
      Jay
      21
      53
      88
      88
    
    
      7
      Madison
      56
      53
      46
      77
    
    
      8
      Jason
      67
      39
      39
      99
    
    
      9
      Abdullah
      56
      81
      46
      46
    
    
      10
      Bill
      81
      28
      46
      88
    
    
      11
      Rich
      49
      60
      63
      53
    
    
      12
      Ann
      99
      28
      53
      67
    
    
      13
      Ryan
      99
      99
      53
      14
    
    
      14
      Curtis
      56
      67
      77
      32
    
    
      15
      Pasha
      56
      81
      53
      39
    
    
      16
      Mandi
      56
      39
      88
      53
    
    
      17
      Kirk
      56
      28
      63
      88
    
    
      18
      Trevor
      99
      99
      53
      14
    
    
      19
      Marti
      67
      11
      88
      99
    
    
      20
      Tyler
      67
      67
      39
      53
    
    
      21
      Artem
      35
      99
      53
      53
    
    
      22
      Sam
      49
      81
      53
      46
    
    
      23
      Emily
      35
      81
      77
      46



In [119]:

    
df.describe()









    Out[119]:






  
    
      
      Decisive
      Interactive
      Stability
      Cautious
    
  
  
    
      count
      24.000000
      24.000000
      24.000000
      24.000000
    
    
      mean
      53.583333
      60.000000
      66.916667
      62.291667
    
    
      std
      24.305871
      26.262885
      19.235196
      24.753531
    
    
      min
      10.000000
      11.000000
      39.000000
      14.000000
    
    
      25%
      35.000000
      39.000000
      53.000000
      46.000000
    
    
      50%
      56.000000
      60.000000
      63.000000
      60.000000
    
    
      75%
      67.000000
      81.000000
      88.000000
      79.750000
    
    
      max
      99.000000
      99.000000
      99.000000
      99.000000



In [124]:

    
fig1 = df.hist(bins=6)



In [123]:

    
fig2 = df.plot(kind='bar', stacked=True, x='Human' )



In [137]:

    
fig3 = df.plot(kind='box')



In [138]:

    
fig3









    Out[138]:





<matplotlib.axes._subplots.AxesSubplot at 0x1179eb6d0>



In [140]:

    
fig4 = plt.figure()









    





<matplotlib.figure.Figure at 0x117b2abd0>



In [145]:

    
tls.mpl_to_plotly(fig3)









    



---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
<ipython-input-145-7509a9abc870> in <module>()
----> 1 tls.mpl_to_plotly(fig3)

/usr/local/lib/python2.7/site-packages/plotly/tools.pyc in mpl_to_plotly(fig, resize, strip_style, verbose)
    376     if _matplotlylib_imported:
    377         renderer = matplotlylib.PlotlyRenderer()
--> 378         matplotlylib.Exporter(renderer).run(fig)
    379         if resize:
    380             renderer.resize()

/usr/local/lib/python2.7/site-packages/plotly/matplotlylib/mplexporter/exporter.pyc in run(self, fig)
     43         # Calling savefig executes the draw() command, putting elements
     44         # in the correct place.
---> 45         fig.savefig(io.BytesIO(), format='png', dpi=fig.dpi)
     46         if self.close_mpl:
     47             import matplotlib.pyplot as plt

AttributeError: 'AxesSubplot' object has no attribute 'savefig'



In [91]:

    
df.median()









    Out[91]:





Decisive       56
Interactive    60
Stability      63
Cautious       60
dtype: float64



In [100]:

    
df[df.Decisive > 70].sort('Decisive', ascending=False)









    Out[100]:






  
    
      
      Human
      Decisive
      Interactive
      Stability
      Cautious
    
  
  
    
      12
      Ann
      99
      28
      53
      67
    
    
      13
      Ryan
      99
      99
      53
      14
    
    
      18
      Trevor
      99
      99
      53
      14
    
    
      10
      Bill
      81
      28
      46
      88



In [101]:

    
df[df.Interactive > 70].sort('Interactive', ascending=False)









    Out[101]:






  
    
      
      Human
      Decisive
      Interactive
      Stability
      Cautious
    
  
  
    
      0
      Greg
      10
      99
      99
      77
    
    
      13
      Ryan
      99
      99
      53
      14
    
    
      18
      Trevor
      99
      99
      53
      14
    
    
      21
      Artem
      35
      99
      53
      53
    
    
      9
      Abdullah
      56
      81
      46
      46
    
    
      15
      Pasha
      56
      81
      53
      39
    
    
      22
      Sam
      49
      81
      53
      46
    
    
      23
      Emily
      35
      81
      77
      46



In [102]:

    
df[df.Stability > 70].sort('Stability', ascending=False)









    Out[102]:






  
    
      
      Human
      Decisive
      Interactive
      Stability
      Cautious
    
  
  
    
      0
      Greg
      10
      99
      99
      77
    
    
      1
      Dave
      42
      46
      88
      67
    
    
      2
      Fisch
      49
      28
      88
      77
    
    
      4
      Kimberly
      21
      46
      88
      99
    
    
      5
      Magnus
      25
      67
      88
      53
    
    
      6
      Jay
      21
      53
      88
      88
    
    
      16
      Mandi
      56
      39
      88
      53
    
    
      19
      Marti
      67
      11
      88
      99
    
    
      3
      Damon
      35
      60
      77
      67
    
    
      14
      Curtis
      56
      67
      77
      32
    
    
      23
      Emily
      35
      81
      77
      46



In [103]:

    
df[df.Cautious > 70].sort('Cautious', ascending=False)









    Out[103]:






  
    
      
      Human
      Decisive
      Interactive
      Stability
      Cautious
    
  
  
    
      4
      Kimberly
      21
      46
      88
      99
    
    
      8
      Jason
      67
      39
      39
      99
    
    
      19
      Marti
      67
      11
      88
      99
    
    
      6
      Jay
      21
      53
      88
      88
    
    
      10
      Bill
      81
      28
      46
      88
    
    
      17
      Kirk
      56
      28
      63
      88
    
    
      0
      Greg
      10
      99
      99
      77
    
    
      2
      Fisch
      49
      28
      88
      77
    
    
      7
      Madison
      56
      53
      46
      77



In [76]:

    
df.groupby('Cautious').sum()









    Out[76]:






  
    
      
      Decisive
      Interactive
      Stability
    
    
      Cautious
      
      
      
    
  
  
    
      14
      198
      198
      106
    
    
      32
      56
      67
      77
    
    
      39
      56
      81
      53
    
    
      46
      140
      243
      176
    
    
      53
      232
      332
      331
    
    
      67
      176
      134
      218
    
    
      77
      115
      180
      233
    
    
      88
      158
      109
      197
    
    
      99
      155
      96
      215



In [ ]:

	Human	Decisive	Interactive	Stability	Cautious
0	Greg	10	99	99	77
1	Dave	42	46	88	67
2	Fisch	49	28	88	77
3	Damon	35	60	77	67
4	Kimberly	21	46	88	99
5	Magnus	25	67	88	53
6	Jay	21	53	88	88
7	Madison	56	53	46	77
8	Jason	67	39	39	99
9	Abdullah	56	81	46	46
10	Bill	81	28	46	88
11	Rich	49	60	63	53
12	Ann	99	28	53	67
13	Ryan	99	99	53	14
14	Curtis	56	67	77	32
15	Pasha	56	81	53	39
16	Mandi	56	39	88	53
17	Kirk	56	28	63	88
18	Trevor	99	99	53	14
19	Marti	67	11	88	99
20	Tyler	67	67	39	53
21	Artem	35	99	53	53
22	Sam	49	81	53	46
23	Emily	35	81	77	46

	Decisive	Interactive	Stability	Cautious
count	24.000000	24.000000	24.000000	24.000000
mean	53.583333	60.000000	66.916667	62.291667
std	24.305871	26.262885	19.235196	24.753531
min	10.000000	11.000000	39.000000	14.000000
25%	35.000000	39.000000	53.000000	46.000000
50%	56.000000	60.000000	63.000000	60.000000
75%	67.000000	81.000000	88.000000	79.750000
max	99.000000	99.000000	99.000000	99.000000

	Decisive	Interactive	Stability
Cautious
14	198	198	106
32	56	67	77
39	56	81	53
46	140	243	176
53	232	332	331
67	176	134	218
77	115	180	233
88	158	109	197
99	155	96	215