In [1]:
import pandas as pd
In [3]:
data = pd.read_csv("/Users/chuamelia/Desktop/nycaasc/research/data/fb/2016_spring_page_level_.csv")
In [4]:
data.head()
Out[4]:
Date
Lifetime Total Likes
Daily New Likes
Daily Unlikes
Daily Page Engaged Users
Weekly Page Engaged Users
28 Days Page Engaged Users
Daily Like Sources - API
Daily Like Sources - Ads
Daily Like Sources - On Your Page
...
page_cta_clicks_by_age_gender_logged_in_unique:week - 55-64.U
page_cta_clicks_by_age_gender_logged_in_unique:week - 65+.F
page_cta_clicks_by_age_gender_logged_in_unique:week - 65+.M
page_cta_clicks_by_age_gender_logged_in_unique:week - 65+.U
page_cta_clicks_by_age_gender_logged_in_unique:week - <13.F
page_cta_clicks_by_age_gender_logged_in_unique:week - <13.M
page_cta_clicks_by_age_gender_logged_in_unique:week - <13.U
page_cta_clicks_by_age_gender_logged_in_unique:week - UNKNOWN.F
page_cta_clicks_by_age_gender_logged_in_unique:week - UNKNOWN.M
page_cta_clicks_by_age_gender_logged_in_unique:week - UNKNOWN.U
0
NaN
Lifetime: The total number of people who have ...
Daily: The number of new people who have liked...
Daily: The number of Unlikes of your Page (Uni...
Daily: The number of people who engaged with y...
Weekly: The number of people who engaged with ...
28 Days: The number of people who engaged with...
Daily: The number of people who liked your Pag...
NaN
NaN
...
NaN
NaN
NaN
NaN
NaN
NaN
NaN
NaN
NaN
NaN
1
2016-01-01
1070
0
0
0
16
64
NaN
NaN
NaN
...
NaN
NaN
NaN
NaN
NaN
NaN
NaN
NaN
NaN
NaN
2
2016-01-02
1070
0
0
2
13
63
NaN
NaN
NaN
...
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
3
2016-01-03
1070
0
0
2
13
60
NaN
NaN
NaN
...
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
4
2016-01-04
1071
1
0
1
12
61
NaN
NaN
1.0
...
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
5 rows × 2167 columns
In [5]:
(ln(1+4(10^(-1)))/4(10^(-1)))
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
<ipython-input-5-a37f794e356f> in <module>()
----> 1 ((4)^4)/4+(1/(8(()^2)))
TypeError: unsupported operand type(s) for ^: 'tuple' and 'int'
In [ ]:
Content source: NYCAASC/nycaasc
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