Overview

Dataset statistics

Number of variables	9
Number of observations	17090
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	5
Duplicate rows (%)	< 0.1%
Total size in memory	30.9 MiB
Average record size in memory	1.9 KiB

Variable types

Text	5
Numeric	1
Unsupported	3

Alerts

Dataset has 5 (< 0.1%) duplicate rows	Duplicates
`tokens` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`tokens_nostop` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`tokens_stem` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`label` has 355 (2.1%) zeros	Zeros

Reproduction

Analysis started	2026-04-24 18:25:17.321774
Analysis finished	2026-04-24 18:26:13.499213
Duration	56.18 seconds
Software version	ydata-profiling v4.18.4
Download configuration	config.json

text
Text

Distinct	17082
Distinct (%)	> 99.9%
Missing	0
Missing (%)	0.0%
Memory size	4.3 MiB

Length

Max length	482
Median length	257
Mean length	135.07232
Min length	1

Characters and Unicode

Total characters	2308386
Distinct characters	232
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	17077 ?
Unique (%)	99.9%

Sample

1st row	Here are Thursday's biggest analyst calls: Apple, Amazon, Tesla, Palantir, DocuSign, Exxon & more https://t.co/QPN8Gwl7Uh
2nd row	Buy Las Vegas Sands as travel to Singapore builds, Wells Fargo says https://t.co/fLS2w57iCz
3rd row	Piper Sandler downgrades DocuSign to sell, citing elevated risks amid CEO transition https://t.co/1EmtywmYpr
4th row	Analysts react to Tesla's latest earnings, break down what's next for electric car maker https://t.co/kwhoE6W06u
5th row	Netflix and its peers are set for a ‘return to growth,’ analysts say, giving one stock 120% upside https://t.co/jPpdl0D9s4

Value	Count	Frequency (%)
the	9371	3.0%
to	8146	2.6%
of	5821	1.9%
	5015	1.6%
a	4970	1.6%
in	4806	1.5%
and	3950	1.3%
for	3254	1.0%
on	2783	0.9%
is	2136	0.7%
Other values (46856)	261693	83.9%

Most occurring characters

Value	Count	Frequency (%)
	316963	13.7%
t	165850	7.2%
e	152403	6.6%
o	120167	5.2%
s	116973	5.1%
a	107593	4.7%
n	104559	4.5%
i	102168	4.4%
r	93705	4.1%
c	65349	2.8%
Other values (222)	962656	41.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	2308386	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	316963	13.7%
t	165850	7.2%
e	152403	6.6%
o	120167	5.2%
s	116973	5.1%
a	107593	4.7%
n	104559	4.5%
i	102168	4.4%
r	93705	4.1%
c	65349	2.8%
Other values (222)	962656	41.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	2308386	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	316963	13.7%
t	165850	7.2%
e	152403	6.6%
o	120167	5.2%
s	116973	5.1%
a	107593	4.7%
n	104559	4.5%
i	102168	4.4%
r	93705	4.1%
c	65349	2.8%
Other values (222)	962656	41.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	2308386	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	316963	13.7%
t	165850	7.2%
e	152403	6.6%
o	120167	5.2%
s	116973	5.1%
a	107593	4.7%
n	104559	4.5%
i	102168	4.4%
r	93705	4.1%
c	65349	2.8%
Other values (222)	962656	41.7%

label
Real number (ℝ)

Zeros

Distinct	20
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	9.4917496

Minimum	0
Maximum	19
Zeros	355
Zeros (%)	2.1%
Negative	0
Negative (%)	0.0%
Memory size	133.6 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	2
median	9
Q3	16
95-th percentile	18
Maximum	19
Range	19
Interquartile range (IQR)	14

Descriptive statistics

Standard deviation	6.4236553
Coefficient of variation (CV)	0.67676198
Kurtosis	-1.5471727
Mean	9.4917496
Median Absolute Deviation (MAD)	7
Skewness	0.043217166
Sum	162214
Variance	41.263347
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=20)

Value	Count	Frequency (%)
2	3545	20.7%
18	2118	12.4%
14	1822	10.7%
9	1557	9.1%
5	987	5.8%
16	985	5.8%
1	837	4.9%
19	823	4.8%
7	624	3.7%
6	524	3.1%
Other values (10)	3268	19.1%

Value	Count	Frequency (%)
0	355	2.1%
1	837	4.9%
2	3545	20.7%
3	321	1.9%
4	359	2.1%
5	987	5.8%
6	524	3.1%
7	624	3.7%
8	166	1.0%
9	1557	9.1%

Value	Count	Frequency (%)
19	823	4.8%
18	2118	12.4%
17	495	2.9%
16	985	5.8%
15	501	2.9%
14	1822	10.7%
13	471	2.8%
12	487	2.8%
11	44	0.3%
10	69	0.4%

text_lower
Text

Distinct	17079
Distinct (%)	99.9%
Missing	0
Missing (%)	0.0%
Memory size	4.3 MiB

Length

Max length	482
Median length	257
Mean length	135.07232
Min length	1

Characters and Unicode

Total characters	2308386
Distinct characters	206
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	17073 ?
Unique (%)	99.9%

Sample

1st row	here are thursday's biggest analyst calls: apple, amazon, tesla, palantir, docusign, exxon & more https://t.co/qpn8gwl7uh
2nd row	buy las vegas sands as travel to singapore builds, wells fargo says https://t.co/fls2w57icz
3rd row	piper sandler downgrades docusign to sell, citing elevated risks amid ceo transition https://t.co/1emtywmypr
4th row	analysts react to tesla's latest earnings, break down what's next for electric car maker https://t.co/kwhoe6w06u
5th row	netflix and its peers are set for a ‘return to growth,’ analysts say, giving one stock 120% upside https://t.co/jppdl0d9s4

Value	Count	Frequency (%)
the	9371	3.0%
to	8146	2.6%
of	5821	1.9%
	5015	1.6%
a	4970	1.6%
in	4806	1.5%
and	3950	1.3%
for	3254	1.0%
on	2783	0.9%
is	2136	0.7%
Other values (46856)	261693	83.9%

Most occurring characters

Value	Count	Frequency (%)
	316963	13.7%
t	182567	7.9%
e	168666	7.3%
s	136698	5.9%
o	131330	5.7%
a	126286	5.5%
n	116453	5.0%
i	116043	5.0%
r	107197	4.6%
c	81606	3.5%
Other values (196)	824577	35.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	2308386	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	316963	13.7%
t	182567	7.9%
e	168666	7.3%
s	136698	5.9%
o	131330	5.7%
a	126286	5.5%
n	116453	5.0%
i	116043	5.0%
r	107197	4.6%
c	81606	3.5%
Other values (196)	824577	35.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	2308386	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	316963	13.7%
t	182567	7.9%
e	168666	7.3%
s	136698	5.9%
o	131330	5.7%
a	126286	5.5%
n	116453	5.0%
i	116043	5.0%
r	107197	4.6%
c	81606	3.5%
Other values (196)	824577	35.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	2308386	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	316963	13.7%
t	182567	7.9%
e	168666	7.3%
s	136698	5.9%
o	131330	5.7%
a	126286	5.5%
n	116453	5.0%
i	116043	5.0%
r	107197	4.6%
c	81606	3.5%
Other values (196)	824577	35.7%

text_nonum
Text

Distinct	17047
Distinct (%)	99.7%
Missing	0
Missing (%)	0.0%
Memory size	4.2 MiB

Length

Max length	482
Median length	254
Mean length	131.32469
Min length	1

Characters and Unicode

Total characters	2244339
Distinct characters	196
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	17020 ?
Unique (%)	99.6%

Sample

1st row	here are thursday's biggest analyst calls: apple, amazon, tesla, palantir, docusign, exxon & more https://t.co/qpngwluh
2nd row	buy las vegas sands as travel to singapore builds, wells fargo says https://t.co/flswicz
3rd row	piper sandler downgrades docusign to sell, citing elevated risks amid ceo transition https://t.co/emtywmypr
4th row	analysts react to tesla's latest earnings, break down what's next for electric car maker https://t.co/kwhoewu
5th row	netflix and its peers are set for a ‘return to growth,’ analysts say, giving one stock % upside https://t.co/jppdlds

Value	Count	Frequency (%)
	10926	3.5%
the	9371	3.0%
to	8146	2.6%
of	5821	1.9%
a	4985	1.6%
in	4806	1.6%
and	3950	1.3%
for	3260	1.1%
on	2784	0.9%
is	2136	0.7%
Other values (43682)	252574	81.8%

Most occurring characters

Value	Count	Frequency (%)
	316963	14.1%
t	182567	8.1%
e	168666	7.5%
s	136698	6.1%
o	131330	5.9%
a	126286	5.6%
n	116453	5.2%
i	116043	5.2%
r	107197	4.8%
c	81606	3.6%
Other values (186)	760530	33.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	2244339	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	316963	14.1%
t	182567	8.1%
e	168666	7.5%
s	136698	6.1%
o	131330	5.9%
a	126286	5.6%
n	116453	5.2%
i	116043	5.2%
r	107197	4.8%
c	81606	3.6%
Other values (186)	760530	33.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	2244339	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	316963	14.1%
t	182567	8.1%
e	168666	7.5%
s	136698	6.1%
o	131330	5.9%
a	126286	5.6%
n	116453	5.2%
i	116043	5.2%
r	107197	4.8%
c	81606	3.6%
Other values (186)	760530	33.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	2244339	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	316963	14.1%
t	182567	8.1%
e	168666	7.5%
s	136698	6.1%
o	131330	5.9%
a	126286	5.6%
n	116453	5.2%
i	116043	5.2%
r	107197	4.8%
c	81606	3.6%
Other values (186)	760530	33.9%

text_nopunct
Text

Distinct	17045
Distinct (%)	99.7%
Missing	0
Missing (%)	0.0%
Memory size	4.0 MiB

Length

Max length	467
Median length	239
Mean length	122.03031
Min length	1

Characters and Unicode

Total characters	2085498
Distinct characters	170
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	17016 ?
Unique (%)	99.6%

Sample

1st row	here are thursdays biggest analyst calls apple amazon tesla palantir docusign exxon amp more httpstcoqpngwluh
2nd row	buy las vegas sands as travel to singapore builds wells fargo says httpstcoflswicz
3rd row	piper sandler downgrades docusign to sell citing elevated risks amid ceo transition httpstcoemtywmypr
4th row	analysts react to teslas latest earnings break down whats next for electric car maker httpstcokwhoewu
5th row	netflix and its peers are set for a ‘return to growth’ analysts say giving one stock upside httpstcojppdlds

Value	Count	Frequency (%)
the	9371	3.1%
to	8146	2.7%
of	5821	2.0%
a	4985	1.7%
in	4806	1.6%
and	3950	1.3%
for	3260	1.1%
on	2784	0.9%
is	2136	0.7%
as	2051	0.7%
Other values (43426)	250523	84.1%

Most occurring characters

Value	Count	Frequency (%)
	316963	15.2%
t	182567	8.8%
e	168666	8.1%
s	136698	6.6%
o	131330	6.3%
a	126286	6.1%
n	116453	5.6%
i	116043	5.6%
r	107197	5.1%
c	81606	3.9%
Other values (160)	601689	28.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	2085498	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	316963	15.2%
t	182567	8.8%
e	168666	8.1%
s	136698	6.6%
o	131330	6.3%
a	126286	6.1%
n	116453	5.6%
i	116043	5.6%
r	107197	5.1%
c	81606	3.9%
Other values (160)	601689	28.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	2085498	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	316963	15.2%
t	182567	8.8%
e	168666	8.1%
s	136698	6.6%
o	131330	6.3%
a	126286	6.1%
n	116453	5.6%
i	116043	5.6%
r	107197	5.1%
c	81606	3.9%
Other values (160)	601689	28.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	2085498	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	316963	15.2%
t	182567	8.8%
e	168666	8.1%
s	136698	6.6%
o	131330	6.3%
a	126286	6.1%
n	116453	5.6%
i	116043	5.6%
r	107197	5.1%
c	81606	3.9%
Other values (160)	601689	28.9%

text_nowhitespace
Text

Distinct	17042
Distinct (%)	99.7%
Missing	0
Missing (%)	0.0%
Memory size	3.9 MiB

Length

Max length	467
Median length	238
Mean length	119.90784
Min length	1

Characters and Unicode

Total characters	2049225
Distinct characters	169
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	17010 ?
Unique (%)	99.5%

Sample

1st row	here are thursdays biggest analyst calls apple amazon tesla palantir docusign exxon amp more httpstcoqpngwluh
2nd row	buy las vegas sands as travel to singapore builds wells fargo says httpstcoflswicz
3rd row	piper sandler downgrades docusign to sell citing elevated risks amid ceo transition httpstcoemtywmypr
4th row	analysts react to teslas latest earnings break down whats next for electric car maker httpstcokwhoewu
5th row	netflix and its peers are set for a ‘return to growth’ analysts say giving one stock upside httpstcojppdlds

Value	Count	Frequency (%)
the	9371	3.1%
to	8146	2.7%
of	5821	2.0%
a	4985	1.7%
in	4806	1.6%
and	3950	1.3%
for	3260	1.1%
on	2784	0.9%
is	2136	0.7%
as	2051	0.7%
Other values (43426)	250523	84.1%

Most occurring characters

Value	Count	Frequency (%)
	280743	13.7%
t	182567	8.9%
e	168666	8.2%
s	136698	6.7%
o	131330	6.4%
a	126286	6.2%
n	116453	5.7%
i	116043	5.7%
r	107197	5.2%
c	81606	4.0%
Other values (159)	601636	29.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	2049225	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	280743	13.7%
t	182567	8.9%
e	168666	8.2%
s	136698	6.7%
o	131330	6.4%
a	126286	6.2%
n	116453	5.7%
i	116043	5.7%
r	107197	5.2%
c	81606	4.0%
Other values (159)	601636	29.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	2049225	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	280743	13.7%
t	182567	8.9%
e	168666	8.2%
s	136698	6.7%
o	131330	6.4%
a	126286	6.2%
n	116453	5.7%
i	116043	5.7%
r	107197	5.2%
c	81606	4.0%
Other values (159)	601636	29.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	2049225	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	280743	13.7%
t	182567	8.9%
e	168666	8.2%
s	136698	6.7%
o	131330	6.4%
a	126286	6.2%
n	116453	5.7%
i	116043	5.7%
r	107197	5.2%
c	81606	4.0%
Other values (159)	601636	29.4%

tokens
Unsupported

Rejected Unsupported

Missing	0
Missing (%)	0.0%
Memory size	3.8 MiB

tokens_nostop
Unsupported

Rejected Unsupported

Missing	0
Missing (%)	0.0%
Memory size	3.2 MiB

tokens_stem
Unsupported

Rejected Unsupported

Missing	0
Missing (%)	0.0%
Memory size	3.2 MiB

Interactions

Missing values

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

	text	text_lower	text_nonum	text_nopunct	text_nowhitespace	tokens	tokens_nostop	tokens_stem
0	Here are Thursday's biggest analyst calls: Apple, Amazon, Tesla, Palantir, DocuSign, Exxon & more https://t.co/QPN8Gwl7Uh	here are thursday's biggest analyst calls: apple, amazon, tesla, palantir, docusign, exxon & more https://t.co/qpn8gwl7uh	here are thursday's biggest analyst calls: apple, amazon, tesla, palantir, docusign, exxon & more https://t.co/qpngwluh	here are thursdays biggest analyst calls apple amazon tesla palantir docusign exxon amp more httpstcoqpngwluh	here are thursdays biggest analyst calls apple amazon tesla palantir docusign exxon amp more httpstcoqpngwluh	[here, are, thursdays, biggest, analyst, calls, apple, amazon, tesla, palantir, docusign, exxon, amp, more, httpstcoqpngwluh]	[thursdays, biggest, analyst, calls, apple, amazon, tesla, palantir, docusign, exxon, amp, httpstcoqpngwluh]	[thursday, biggest, analyst, call, appl, amazon, tesla, palantir, docusign, exxon, amp, httpstcoqpngwluh]
1	Buy Las Vegas Sands as travel to Singapore builds, Wells Fargo says https://t.co/fLS2w57iCz	buy las vegas sands as travel to singapore builds, wells fargo says https://t.co/fls2w57icz	buy las vegas sands as travel to singapore builds, wells fargo says https://t.co/flswicz	buy las vegas sands as travel to singapore builds wells fargo says httpstcoflswicz	buy las vegas sands as travel to singapore builds wells fargo says httpstcoflswicz	[buy, las, vegas, sands, as, travel, to, singapore, builds, wells, fargo, says, httpstcoflswicz]	[buy, las, vegas, sands, travel, singapore, builds, wells, fargo, says, httpstcoflswicz]	[buy, la, vega, sand, travel, singapor, build, well, fargo, say, httpstcoflswicz]
2	Piper Sandler downgrades DocuSign to sell, citing elevated risks amid CEO transition https://t.co/1EmtywmYpr	piper sandler downgrades docusign to sell, citing elevated risks amid ceo transition https://t.co/1emtywmypr	piper sandler downgrades docusign to sell, citing elevated risks amid ceo transition https://t.co/emtywmypr	piper sandler downgrades docusign to sell citing elevated risks amid ceo transition httpstcoemtywmypr	piper sandler downgrades docusign to sell citing elevated risks amid ceo transition httpstcoemtywmypr	[piper, sandler, downgrades, docusign, to, sell, citing, elevated, risks, amid, ceo, transition, httpstcoemtywmypr]	[piper, sandler, downgrades, docusign, sell, citing, elevated, risks, amid, ceo, transition, httpstcoemtywmypr]	[piper, sandler, downgrad, docusign, sell, cite, elev, risk, amid, ceo, transit, httpstcoemtywmypr]
3	Analysts react to Tesla's latest earnings, break down what's next for electric car maker https://t.co/kwhoE6W06u	analysts react to tesla's latest earnings, break down what's next for electric car maker https://t.co/kwhoe6w06u	analysts react to tesla's latest earnings, break down what's next for electric car maker https://t.co/kwhoewu	analysts react to teslas latest earnings break down whats next for electric car maker httpstcokwhoewu	analysts react to teslas latest earnings break down whats next for electric car maker httpstcokwhoewu	[analysts, react, to, teslas, latest, earnings, break, down, whats, next, for, electric, car, maker, httpstcokwhoewu]	[analysts, react, teslas, latest, earnings, break, whats, next, electric, car, maker, httpstcokwhoewu]	[analyst, react, tesla, latest, earn, break, what, next, electr, car, maker, httpstcokwhoewu]
4	Netflix and its peers are set for a ‘return to growth,’ analysts say, giving one stock 120% upside https://t.co/jPpdl0D9s4	netflix and its peers are set for a ‘return to growth,’ analysts say, giving one stock 120% upside https://t.co/jppdl0d9s4	netflix and its peers are set for a ‘return to growth,’ analysts say, giving one stock % upside https://t.co/jppdlds	netflix and its peers are set for a ‘return to growth’ analysts say giving one stock upside httpstcojppdlds	netflix and its peers are set for a ‘return to growth’ analysts say giving one stock upside httpstcojppdlds	[netflix, and, its, peers, are, set, for, a, ‘, return, to, growth, ’, analysts, say, giving, one, stock, upside, httpstcojppdlds]	[netflix, peers, set, ‘, return, growth, ’, analysts, say, giving, one, stock, upside, httpstcojppdlds]	[netflix, peer, set, ‘, return, growth, ’, analyst, say, give, one, stock, upsid, httpstcojppdld]
5	Barclays believes earnings for these underperforming stocks may surprise Wall Street https://t.co/PHbsyVGAyE	barclays believes earnings for these underperforming stocks may surprise wall street https://t.co/phbsyvgaye	barclays believes earnings for these underperforming stocks may surprise wall street https://t.co/phbsyvgaye	barclays believes earnings for these underperforming stocks may surprise wall street httpstcophbsyvgaye	barclays believes earnings for these underperforming stocks may surprise wall street httpstcophbsyvgaye	[barclays, believes, earnings, for, these, underperforming, stocks, may, surprise, wall, street, httpstcophbsyvgaye]	[barclays, believes, earnings, underperforming, stocks, may, surprise, wall, street, httpstcophbsyvgaye]	[barclay, believ, earn, underperform, stock, may, surpris, wall, street, httpstcophbsyvgay]
6	Bernstein upgrades Alibaba, says shares can rally more than 20% from here https://t.co/m3ApoPRGU0	bernstein upgrades alibaba, says shares can rally more than 20% from here https://t.co/m3apoprgu0	bernstein upgrades alibaba, says shares can rally more than % from here https://t.co/mapoprgu	bernstein upgrades alibaba says shares can rally more than from here httpstcomapoprgu	bernstein upgrades alibaba says shares can rally more than from here httpstcomapoprgu	[bernstein, upgrades, alibaba, says, shares, can, rally, more, than, from, here, httpstcomapoprgu]	[bernstein, upgrades, alibaba, says, shares, rally, httpstcomapoprgu]	[bernstein, upgrad, alibaba, say, share, ralli, httpstcomapoprgu]
7	Analysts react to Netflix's strong quarter, with some pointing to a potential bottom for the stock https://t.co/cQngJsyefD	analysts react to netflix's strong quarter, with some pointing to a potential bottom for the stock https://t.co/cqngjsyefd	analysts react to netflix's strong quarter, with some pointing to a potential bottom for the stock https://t.co/cqngjsyefd	analysts react to netflixs strong quarter with some pointing to a potential bottom for the stock httpstcocqngjsyefd	analysts react to netflixs strong quarter with some pointing to a potential bottom for the stock httpstcocqngjsyefd	[analysts, react, to, netflixs, strong, quarter, with, some, pointing, to, a, potential, bottom, for, the, stock, httpstcocqngjsyefd]	[analysts, react, netflixs, strong, quarter, pointing, potential, bottom, stock, httpstcocqngjsyefd]	[analyst, react, netflix, strong, quarter, point, potenti, bottom, stock, httpstcocqngjsyefd]
8	Buy Chevron as shares look attractive at these levels, HSBC says https://t.co/GkDpFvxjEP	buy chevron as shares look attractive at these levels, hsbc says https://t.co/gkdpfvxjep	buy chevron as shares look attractive at these levels, hsbc says https://t.co/gkdpfvxjep	buy chevron as shares look attractive at these levels hsbc says httpstcogkdpfvxjep	buy chevron as shares look attractive at these levels hsbc says httpstcogkdpfvxjep	[buy, chevron, as, shares, look, attractive, at, these, levels, hsbc, says, httpstcogkdpfvxjep]	[buy, chevron, shares, look, attractive, levels, hsbc, says, httpstcogkdpfvxjep]	[buy, chevron, share, look, attract, level, hsbc, say, httpstcogkdpfvxjep]
9	Morgan Stanley says these global stocks are set for earnings beats — and gives one over 45% upside https://t.co/GeWxa5YoWr	morgan stanley says these global stocks are set for earnings beats — and gives one over 45% upside https://t.co/gewxa5yowr	morgan stanley says these global stocks are set for earnings beats — and gives one over % upside https://t.co/gewxayowr	morgan stanley says these global stocks are set for earnings beats — and gives one over upside httpstcogewxayowr	morgan stanley says these global stocks are set for earnings beats — and gives one over upside httpstcogewxayowr	[morgan, stanley, says, these, global, stocks, are, set, for, earnings, beats, —, and, gives, one, over, upside, httpstcogewxayowr]	[morgan, stanley, says, global, stocks, set, earnings, beats, —, gives, one, upside, httpstcogewxayowr]	[morgan, stanley, say, global, stock, set, earn, beat, —, give, one, upsid, httpstcogewxayowr]

	text	text_lower	text_nonum	text_nopunct	text_nowhitespace	tokens	tokens_nostop	tokens_stem
17080	very nice game	very nice game	very nice game	very nice game	very nice game	[very, nice, game]	[nice, game]	[nice, game]
17081	wonderful	wonderful	wonderful	wonderful	wonderful	[wonderful]	[wonderful]	[wonder]
17082	Excellent Game	excellent game	excellent game	excellent game	excellent game	[excellent, game]	[excellent, game]	[excel, game]
17083	Ilove this game	ilove this game	ilove this game	ilove this game	ilove this game	[ilove, this, game]	[ilove, game]	[ilov, game]
17084	so crazy	so crazy	so crazy	so crazy	so crazy	[so, crazy]	[crazy]	[crazi]
17085	my fevret game	my fevret game	my fevret game	my fevret game	my fevret game	[my, fevret, game]	[fevret, game]	[fevret, game]
17086	lovely 😍 👌 game	lovely 😍 👌 game	lovely 😍 👌 game	lovely 😍 👌 game	lovely 😍 👌 game	[lovely, 😍, 👌, game]	[lovely, 😍, 👌, game]	[love, 😍, 👌, game]
17087	This is a super game 👌❤️ But now I am facing a big problem, that after watching this game, automatically exit from the game, why ? Are there any solution for this problem, than kindly solve this problem. Thanks.	this is a super game 👌❤️ but now i am facing a big problem, that after watching this game, automatically exit from the game, why ? are there any solution for this problem, than kindly solve this problem. thanks.	this is a super game 👌❤️ but now i am facing a big problem, that after watching this game, automatically exit from the game, why ? are there any solution for this problem, than kindly solve this problem. thanks.	this is a super game 👌❤️ but now i am facing a big problem that after watching this game automatically exit from the game why are there any solution for this problem than kindly solve this problem thanks	this is a super game 👌❤️ but now i am facing a big problem that after watching this game automatically exit from the game why are there any solution for this problem than kindly solve this problem thanks	[this, is, a, super, game, 👌❤️, but, now, i, am, facing, a, big, problem, that, after, watching, this, game, automatically, exit, from, the, game, why, are, there, any, solution, for, this, problem, than, kindly, solve, this, problem, thanks]	[super, game, 👌❤️, facing, big, problem, watching, game, automatically, exit, game, solution, problem, kindly, solve, problem, thanks]	[super, game, 👌❤️, face, big, problem, watch, game, automat, exit, game, solut, problem, kindli, solv, problem, thank]
17088	Perfect, an update you could do for us, please give us a decline option for people who request for lives.	perfect, an update you could do for us, please give us a decline option for people who request for lives.	perfect, an update you could do for us, please give us a decline option for people who request for lives.	perfect an update you could do for us please give us a decline option for people who request for lives	perfect an update you could do for us please give us a decline option for people who request for lives	[perfect, an, update, you, could, do, for, us, please, give, us, a, decline, option, for, people, who, request, for, lives]	[perfect, update, could, us, please, give, us, decline, option, people, request, lives]	[perfect, updat, could, us, pleas, give, us, declin, option, peopl, request, live]
17089	super game	super game	super game	super game	super game	[super, game]	[super, game]	[super, game]

Duplicate rows

Most frequently occurring

	text	text_lower	text_nonum	text_nopunct	text_nowhitespace	# duplicates
1	good	good	good	good	good	4
0	Good	good	good	good	good	3
2	nice game	nice game	nice game	nice game	nice game	2
3	ok	ok	ok	ok	ok	2
4	very nice game	very nice game	very nice game	very nice game	very nice game	2

Overview

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Interactions

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Sample

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Most frequently occurring