Indicators

indicators.tsv

Column Descriptions

Column ID	Description
curid	Person ID
dt	Month Date/Timestamp (YYYY-MM-DD) from 2007-01-01 to 2015-12-01
pv_en	Number of english pageviews
l	Number of page editions
l_nw
l_mw
r
r_mr
c
c_n
s
s_n

Sample Rows

(first 5 rows)

curid	dt	pv_en	l	l_nw	l_mw	r	r_mr	c	c_n	s	s_n
6226	2014-09-01	13914.0	62.0	0.218309859155	2.56020119933	7.0	4.33382862803e-05	21.6015525244	0.892005172262	729.440520566	0.00214079324351
6226	2014-08-01	8728.0	62.0	0.218309859155	2.57945082323			21.4504561119	0.892425752845	733.380839531	0.00200539818882
6226	2014-05-01	12973.0	62.0	0.218309859155	2.63277131965	4.0	2.30764349216e-05	21.039585488	0.89342608468	748.262864463	0.00168134288416
6226	2014-04-01	13103.0	62.0	0.218309859155	2.6522867458	7.0	4.26626360633e-05	20.9004746065	0.894097609353	756.053697002	0.00167497189791
6226	2014-07-01	9448.0	62.0	0.218309859155	2.59763341253			21.3073227101	0.892719571021	736.435363449	0.00199339954015

(last 5 rows)

curid	dt	pv_en	l	l_nw	l_mw	r	r_mr	c	c_n	s	s_n
286847	2015-06-01					2.0	1.078958158e-05
286847	2015-08-01					5.0	2.55339141448e-05
286847	2015-09-01					8.0	4.47650116669e-05
286847	2015-10-01					2.0	1.13642820615e-05
286847	2015-11-01					5.0	2.98386326745e-05

Pandas import

pd.read_csv("raw/indicators.tsv", sep="\t", na_values="null", true_values="true", false_values="false", parse_dates=[1])