In [2]:
import pandas
In [17]:
tech_diff_new_tech = pandas.read_csv('./data/tech-diff-new-tech.csv', skiprows=1)
In [18]:
tech_diff_new_tech.head()
Out[18]:
Unnamed: 0
Unnamed: 1
Unnamed: 2
New Tech 200-500
Unnamed: 4
Unnamed: 5
New Tech <200
Unnamed: 7
Unnamed: 8
New Tech >500
...
Unnamed: 14
New Tech <200.1
Unnamed: 16
Unnamed: 17
New Tech >500.1
Unnamed: 19
Unnamed: 20
New Tech <200.2
New Tech 200-500.2
New Tech >500.2
0
NaN
Factor
Question
Fav
Neutral
Unfav
Fav
Neutral
Unfav
Fav
...
Fav75p
Fav25p
Fav50p
Fav75p
Fav25p
Fav50p
Fav75p
KD
KD
KD
1
act.1
Action
I have been provided an opportunity to see and...
49
35
16
63
25
12
54
...
64
40
63
71
46
54
63
6
49
25
2
act.2
Action
My manager, or someone else, has communicated ...
44
36
20
44
39
17
51
...
50
33
44
59
42
51
56
2
48
42
3
act.3
Action
I have seen positive changes taking place base...
44
40
16
46
40
14
44
...
58
34
46
58
40
44
52
19
45
36
4
act.4
Action
I believe action will take place as a result o...
58
28
14
61
27
12
53
...
63
52
61
70
45
53
66
3
8
23
5 rows × 24 columns
In [16]:
tech_diff_new_tech.index
Out[16]:
RangeIndex(start=0, stop=70, step=1)
In [ ]:
Content source: martindavid/code-sandbox
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