Overview

Dataset statistics

Number of variables23
Number of observations100
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory19.7 KiB
Average record size in memory201.3 B

Variable types

Numeric16
Categorical5
Text1
DateTime1

Alerts

CHNNEL_CL_NM has constant value ""Constant
SEQ_NO has unique valuesUnique
DPI_VALUE has unique valuesUnique
DV_VALUE has unique valuesUnique
RSPN_CO has unique valuesUnique
COMMENT_CO has 5 (5.0%) zerosZeros
CNRS_CO has 5 (5.0%) zerosZeros
IBEST_CO has 17 (17.0%) zerosZeros
WOW_CO has 37 (37.0%) zerosZeros
HAHA_CO has 34 (34.0%) zerosZeros
SAD_CO has 46 (46.0%) zerosZeros
ANGRY_CO has 33 (33.0%) zerosZeros
DPI_IRDS_VALUE has 21 (21.0%) zerosZeros
COMMENT_IRDS_CO has 53 (53.0%) zerosZeros
CNRS_IRDS_CO has 49 (49.0%) zerosZeros
RSPN_IRDS_CO has 27 (27.0%) zerosZeros

Reproduction

Analysis started2023-12-10 10:10:22.416466
Analysis finished2023-12-10 10:10:22.785976
Duration0.37 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

SEQ_NO
Real number (ℝ)

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3102349.2
Minimum2801306
Maximum3262936
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:10:23.102494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2801306
5-th percentile2820429
Q13003272.5
median3170564
Q33213939.5
95-th percentile3242325.2
Maximum3262936
Range461630
Interquartile range (IQR)210667

Descriptive statistics

Standard deviation144959.74
Coefficient of variation (CV)0.046725798
Kurtosis-0.67569253
Mean3102349.2
Median Absolute Deviation (MAD)59839
Skewness-0.89863294
Sum3.1023492 × 108
Variance2.1013326 × 1010
MonotonicityNot monotonic
2023-12-10T19:10:23.450770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2819803 1
 
1.0%
3163977 1
 
1.0%
3253211 1
 
1.0%
3237421 1
 
1.0%
3225956 1
 
1.0%
3247213 1
 
1.0%
3188307 1
 
1.0%
3227819 1
 
1.0%
3231598 1
 
1.0%
3231541 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
2801306 1
1.0%
2801308 1
1.0%
2802126 1
1.0%
2816178 1
1.0%
2819803 1
1.0%
2820462 1
1.0%
2833953 1
1.0%
2835334 1
1.0%
2840851 1
1.0%
2843116 1
1.0%
ValueCountFrequency (%)
3262936 1
1.0%
3256258 1
1.0%
3253211 1
1.0%
3248477 1
1.0%
3247213 1
1.0%
3242068 1
1.0%
3242015 1
1.0%
3241793 1
1.0%
3237421 1
1.0%
3236081 1
1.0%

CHNNEL_CL_NM
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
facebook
100 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowfacebook
2nd rowfacebook
3rd rowfacebook
4th rowfacebook
5th rowfacebook

Common Values

ValueCountFrequency (%)
facebook 100
100.0%

Length

2023-12-10T19:10:23.697348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:10:23.850335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
facebook 100
100.0%

CHNNEL_ID
Categorical

Distinct4
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
bangtan.official
31 
oz.music.god
29 
ygfamily
21 
joongang
19 

Length

Max length16
Median length12
Mean length11.64
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowbangtan.official
2nd rowbangtan.official
3rd rowbangtan.official
4th rowbangtan.official
5th rowbangtan.official

Common Values

ValueCountFrequency (%)
bangtan.official 31
31.0%
oz.music.god 29
29.0%
ygfamily 21
21.0%
joongang 19
19.0%

Length

2023-12-10T19:10:24.050029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:10:24.366772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
bangtan.official 31
31.0%
oz.music.god 29
29.0%
ygfamily 21
21.0%
joongang 19
19.0%

CHNNEL_NM
Categorical

Distinct4
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
방탄소년단
31 
오즈뮤직OZMusic
29 
YGFAMILY
21 
중앙일보 (joongangilbo)
19 

Length

Max length19
Median length11
Mean length10.03
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row방탄소년단
2nd row방탄소년단
3rd row방탄소년단
4th row방탄소년단
5th row방탄소년단

Common Values

ValueCountFrequency (%)
방탄소년단 31
31.0%
오즈뮤직OZMusic 29
29.0%
YGFAMILY 21
21.0%
중앙일보 (joongangilbo) 19
19.0%

Length

2023-12-10T19:10:24.729867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:10:24.956039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
방탄소년단 31
26.1%
오즈뮤직ozmusic 29
24.4%
ygfamily 21
17.6%
중앙일보 19
16.0%
joongangilbo 19
16.0%

CNTNTS_URL
Text

Distinct96
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T19:10:25.586520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length64
Median length60
Mean length59.64
Min length56

Characters and Unicode

Total characters5964
Distinct characters35
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique92 ?
Unique (%)92.0%

Sample

1st rowhttps://www.facebook.com/bangtan.official/posts/3929018360446730
2nd rowhttps://www.facebook.com/bangtan.official/posts/4009523609062871
3rd rowhttps://www.facebook.com/bangtan.official/posts/4146319375383293
4th rowhttps://www.facebook.com/bangtan.official/posts/3919042241444342
5th rowhttps://www.facebook.com/bangtan.official/posts/4158895884125642
ValueCountFrequency (%)
https://www.facebook.com/ygfamily/posts/3853023188051577 2
 
2.0%
https://www.facebook.com/bangtan.official/posts/4133810193300878 2
 
2.0%
https://www.facebook.com/bangtan.official/posts/4155503331131564 2
 
2.0%
https://www.facebook.com/ygfamily/posts/3871802109507018 2
 
2.0%
https://www.facebook.com/oz.music.god/posts/3687176721350495 1
 
1.0%
https://www.facebook.com/oz.music.god/posts/3694663803935120 1
 
1.0%
https://www.facebook.com/oz.music.god/posts/3751934911541342 1
 
1.0%
https://www.facebook.com/oz.music.god/posts/3701840329884134 1
 
1.0%
https://www.facebook.com/oz.music.god/posts/3735490199852480 1
 
1.0%
https://www.facebook.com/oz.music.god/posts/3738179509583549 1
 
1.0%
Other values (86) 86
86.0%
2023-12-10T19:10:26.626242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
o 527
 
8.8%
/ 500
 
8.4%
t 331
 
5.5%
s 329
 
5.5%
w 300
 
5.0%
. 289
 
4.8%
c 260
 
4.4%
3 239
 
4.0%
a 233
 
3.9%
p 200
 
3.4%
Other values (25) 2756
46.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 3475
58.3%
Decimal Number 1600
26.8%
Other Punctuation 889
 
14.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 527
15.2%
t 331
 
9.5%
s 329
 
9.5%
w 300
 
8.6%
c 260
 
7.5%
a 233
 
6.7%
p 200
 
5.8%
f 183
 
5.3%
m 150
 
4.3%
b 131
 
3.8%
Other values (12) 831
23.9%
Decimal Number
ValueCountFrequency (%)
3 239
14.9%
8 191
11.9%
1 190
11.9%
5 157
9.8%
0 146
9.1%
4 142
8.9%
7 139
8.7%
9 133
8.3%
6 132
8.2%
2 131
8.2%
Other Punctuation
ValueCountFrequency (%)
/ 500
56.2%
. 289
32.5%
: 100
 
11.2%

Most occurring scripts

ValueCountFrequency (%)
Latin 3475
58.3%
Common 2489
41.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 527
15.2%
t 331
 
9.5%
s 329
 
9.5%
w 300
 
8.6%
c 260
 
7.5%
a 233
 
6.7%
p 200
 
5.8%
f 183
 
5.3%
m 150
 
4.3%
b 131
 
3.8%
Other values (12) 831
23.9%
Common
ValueCountFrequency (%)
/ 500
20.1%
. 289
11.6%
3 239
9.6%
8 191
 
7.7%
1 190
 
7.6%
5 157
 
6.3%
0 146
 
5.9%
4 142
 
5.7%
7 139
 
5.6%
9 133
 
5.3%
Other values (3) 363
14.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5964
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
o 527
 
8.8%
/ 500
 
8.4%
t 331
 
5.5%
s 329
 
5.5%
w 300
 
5.0%
. 289
 
4.8%
c 260
 
4.4%
3 239
 
4.0%
a 233
 
3.9%
p 200
 
3.4%
Other values (25) 2756
46.2%

MEDIA_CL_NM
Categorical

Distinct9
Distinct (%)9.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
album
38 
share
26 
photo
16 
video_inline
8 
none
8 
Other values (4)
4 

Length

Max length16
Median length5
Mean length5.69
Min length4

Unique

Unique4 ?
Unique (%)4.0%

Sample

1st rowshare
2nd rowphoto
3rd rowalbum
4th rownew_album
5th rowalbum

Common Values

ValueCountFrequency (%)
album 38
38.0%
share 26
26.0%
photo 16
16.0%
video_inline 8
 
8.0%
none 8
 
8.0%
new_album 1
 
1.0%
cover_photo 1
 
1.0%
video 1
 
1.0%
native_templates 1
 
1.0%

Length

2023-12-10T19:10:26.917701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:10:27.129388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
album 38
38.0%
share 26
26.0%
photo 16
16.0%
video_inline 8
 
8.0%
none 8
 
8.0%
new_album 1
 
1.0%
cover_photo 1
 
1.0%
video 1
 
1.0%
native_templates 1
 
1.0%

COLCT_DE
Categorical

Distinct31
Distinct (%)31.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2021-01-07
 
6
2021-01-09
 
6
2021-01-18
 
5
2021-01-25
 
5
2021-01-15
 
5
Other values (26)
73 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique5 ?
Unique (%)5.0%

Sample

1st row2021-01-02
2nd row2021-01-04
3rd row2021-01-04
4th row2021-01-07
5th row2021-01-07

Common Values

ValueCountFrequency (%)
2021-01-07 6
 
6.0%
2021-01-09 6
 
6.0%
2021-01-18 5
 
5.0%
2021-01-25 5
 
5.0%
2021-01-15 5
 
5.0%
2021-01-16 5
 
5.0%
2021-01-19 5
 
5.0%
2021-01-17 4
 
4.0%
2021-01-08 4
 
4.0%
2021-01-20 4
 
4.0%
Other values (21) 51
51.0%

Length

2023-12-10T19:10:27.361473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2021-01-07 6
 
6.0%
2021-01-09 6
 
6.0%
2021-01-18 5
 
5.0%
2021-01-25 5
 
5.0%
2021-01-15 5
 
5.0%
2021-01-16 5
 
5.0%
2021-01-19 5
 
5.0%
2021-01-22 4
 
4.0%
2021-01-23 4
 
4.0%
2021-01-24 4
 
4.0%
Other values (21) 51
51.0%

NTCE_DE
Date

Distinct63
Distinct (%)63.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
Minimum2020-09-01 00:00:00
Maximum2021-01-29 00:00:00
2023-12-10T19:10:27.607895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T19:10:28.059570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

DPI_VALUE
Real number (ℝ)

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1288443.3
Minimum56.654746
Maximum10336380
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:10:28.405857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum56.654746
5-th percentile243.86111
Q14884.0164
median23226.572
Q32138809.5
95-th percentile7817811
Maximum10336380
Range10336324
Interquartile range (IQR)2133925.5

Descriptive statistics

Standard deviation2374838.9
Coefficient of variation (CV)1.8431846
Kurtosis4.6707091
Mean1288443.3
Median Absolute Deviation (MAD)23043.716
Skewness2.2430978
Sum1.2884433 × 108
Variance5.6398597 × 1012
MonotonicityNot monotonic
2023-12-10T19:10:28.705734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2262611.28445648 1
 
1.0%
5061.38647922121 1
 
1.0%
9974.05168594762 1
 
1.0%
1269.52237301344 1
 
1.0%
5914.68892245424 1
 
1.0%
17289.7076837282 1
 
1.0%
8775.70500943018 1
 
1.0%
10144.1472664606 1
 
1.0%
3033.02001311013 1
 
1.0%
10241.7075127278 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
56.6547457870141 1
1.0%
108.417252187323 1
1.0%
141.558400373607 1
1.0%
171.120577612869 1
1.0%
194.590054322292 1
1.0%
246.454318452682 1
1.0%
294.239628468336 1
1.0%
384.909560988203 1
1.0%
405.613759620152 1
1.0%
412.048047023514 1
1.0%
ValueCountFrequency (%)
10336380.3361601 1
1.0%
9287111.19674974 1
1.0%
9286514.54190446 1
1.0%
8776252.68025149 1
1.0%
8107218.85507092 1
1.0%
7802579.03495097 1
1.0%
4826737.48641161 1
1.0%
4817906.08122755 1
1.0%
4812460.15309993 1
1.0%
4811271.12132306 1
1.0%

COMMENT_CO
Real number (ℝ)

ZEROS 

Distinct82
Distinct (%)82.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3877.32
Minimum0
Maximum52778
Zeros5
Zeros (%)5.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:10:29.053753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.95
Q119.5
median68.5
Q34988.75
95-th percentile26222.95
Maximum52778
Range52778
Interquartile range (IQR)4969.25

Descriptive statistics

Standard deviation8531.8606
Coefficient of variation (CV)2.200453
Kurtosis13.533
Mean3877.32
Median Absolute Deviation (MAD)64.5
Skewness3.4175075
Sum387732
Variance72792645
MonotonicityNot monotonic
2023-12-10T19:10:29.309217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.0%
30 3
 
3.0%
7 2
 
2.0%
18 2
 
2.0%
62 2
 
2.0%
59 2
 
2.0%
9 2
 
2.0%
40 2
 
2.0%
118 2
 
2.0%
16 2
 
2.0%
Other values (72) 76
76.0%
ValueCountFrequency (%)
0 5
5.0%
1 1
 
1.0%
2 1
 
1.0%
3 1
 
1.0%
4 2
 
2.0%
5 1
 
1.0%
7 2
 
2.0%
9 2
 
2.0%
10 1
 
1.0%
11 1
 
1.0%
ValueCountFrequency (%)
52778 1
1.0%
34627 1
1.0%
33355 1
1.0%
26933 1
1.0%
26906 1
1.0%
26187 1
1.0%
11701 1
1.0%
10829 1
1.0%
10706 1
1.0%
10060 1
1.0%

CNRS_CO
Real number (ℝ)

ZEROS 

Distinct71
Distinct (%)71.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8488.12
Minimum0
Maximum132641
Zeros5
Zeros (%)5.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:10:29.566135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.95
Q16
median39.5
Q35416.25
95-th percentile42559.55
Maximum132641
Range132641
Interquartile range (IQR)5410.25

Descriptive statistics

Standard deviation22809.073
Coefficient of variation (CV)2.6871761
Kurtosis14.744782
Mean8488.12
Median Absolute Deviation (MAD)38.5
Skewness3.7939877
Sum848812
Variance5.2025382 × 108
MonotonicityNot monotonic
2023-12-10T19:10:29.844907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 5
 
5.0%
0 5
 
5.0%
4 5
 
5.0%
1 5
 
5.0%
2 4
 
4.0%
5 3
 
3.0%
8 3
 
3.0%
3 2
 
2.0%
10 2
 
2.0%
17 2
 
2.0%
Other values (61) 64
64.0%
ValueCountFrequency (%)
0 5
5.0%
1 5
5.0%
2 4
4.0%
3 2
 
2.0%
4 5
5.0%
5 3
3.0%
6 5
5.0%
7 1
 
1.0%
8 3
3.0%
10 2
 
2.0%
ValueCountFrequency (%)
132641 1
1.0%
100629 1
1.0%
100596 1
1.0%
85330 1
1.0%
83439 1
1.0%
40408 1
1.0%
28485 1
1.0%
28265 1
1.0%
23752 1
1.0%
21308 1
1.0%

LIKE_CO
Real number (ℝ)

Distinct98
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50462.88
Minimum2
Maximum348161
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:10:30.180852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile9.9
Q1334.25
median1108
Q3101896.75
95-th percentile228163.95
Maximum348161
Range348159
Interquartile range (IQR)101562.5

Descriptive statistics

Standard deviation82449.745
Coefficient of variation (CV)1.6338692
Kurtosis1.5490962
Mean50462.88
Median Absolute Deviation (MAD)1101
Skewness1.5770608
Sum5046288
Variance6.7979605 × 109
MonotonicityNot monotonic
2023-12-10T19:10:30.458651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
108 2
 
2.0%
7 2
 
2.0%
133146 1
 
1.0%
496 1
 
1.0%
60 1
 
1.0%
591 1
 
1.0%
1613 1
 
1.0%
239 1
 
1.0%
982 1
 
1.0%
176 1
 
1.0%
Other values (88) 88
88.0%
ValueCountFrequency (%)
2 1
1.0%
4 1
1.0%
7 2
2.0%
8 1
1.0%
10 1
1.0%
12 1
1.0%
18 1
1.0%
20 1
1.0%
23 1
1.0%
24 1
1.0%
ValueCountFrequency (%)
348161 1
1.0%
259108 1
1.0%
259082 1
1.0%
254381 1
1.0%
229341 1
1.0%
228102 1
1.0%
224677 1
1.0%
224379 1
1.0%
212504 1
1.0%
207720 1
1.0%

IBEST_CO
Real number (ℝ)

ZEROS 

Distinct73
Distinct (%)73.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean91541.97
Minimum0
Maximum683379
Zeros17
Zeros (%)17.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:10:30.760046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15
median1247.5
Q3160229.5
95-th percentile465320.8
Maximum683379
Range683379
Interquartile range (IQR)160224.5

Descriptive statistics

Standard deviation161427.01
Coefficient of variation (CV)1.7634207
Kurtosis2.9876952
Mean91541.97
Median Absolute Deviation (MAD)1247.5
Skewness1.9188809
Sum9154197
Variance2.6058679 × 1010
MonotonicityNot monotonic
2023-12-10T19:10:31.061562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 17
 
17.0%
5 5
 
5.0%
1 3
 
3.0%
2 3
 
3.0%
24 2
 
2.0%
7 2
 
2.0%
17 2
 
2.0%
38 1
 
1.0%
3411 1
 
1.0%
58 1
 
1.0%
Other values (63) 63
63.0%
ValueCountFrequency (%)
0 17
17.0%
1 3
 
3.0%
2 3
 
3.0%
3 1
 
1.0%
5 5
 
5.0%
7 2
 
2.0%
8 1
 
1.0%
9 1
 
1.0%
17 2
 
2.0%
19 1
 
1.0%
ValueCountFrequency (%)
683379 1
1.0%
581692 1
1.0%
581674 1
1.0%
580912 1
1.0%
467863 1
1.0%
465187 1
1.0%
403358 1
1.0%
402912 1
1.0%
401660 1
1.0%
375326 1
1.0%

WOW_CO
Real number (ℝ)

ZEROS 

Distinct43
Distinct (%)43.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean193.22
Minimum0
Maximum3452
Zeros37
Zeros (%)37.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:10:31.348940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q3148.75
95-th percentile1073.25
Maximum3452
Range3452
Interquartile range (IQR)148.75

Descriptive statistics

Standard deviation451.12516
Coefficient of variation (CV)2.3347747
Kurtosis27.416081
Mean193.22
Median Absolute Deviation (MAD)2
Skewness4.4694489
Sum19322
Variance203513.91
MonotonicityNot monotonic
2023-12-10T19:10:31.592376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
0 37
37.0%
1 12
 
12.0%
2 5
 
5.0%
6 4
 
4.0%
1073 2
 
2.0%
135 2
 
2.0%
4 2
 
2.0%
550 1
 
1.0%
271 1
 
1.0%
146 1
 
1.0%
Other values (33) 33
33.0%
ValueCountFrequency (%)
0 37
37.0%
1 12
 
12.0%
2 5
 
5.0%
4 2
 
2.0%
6 4
 
4.0%
7 1
 
1.0%
11 1
 
1.0%
20 1
 
1.0%
21 1
 
1.0%
23 1
 
1.0%
ValueCountFrequency (%)
3452 1
1.0%
1201 1
1.0%
1082 1
1.0%
1079 1
1.0%
1078 1
1.0%
1073 2
2.0%
1002 1
1.0%
886 1
1.0%
710 1
1.0%
580 1
1.0%

HAHA_CO
Real number (ℝ)

ZEROS 

Distinct46
Distinct (%)46.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean132.36
Minimum0
Maximum3461
Zeros34
Zeros (%)34.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:10:31.867741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q3114
95-th percentile480.45
Maximum3461
Range3461
Interquartile range (IQR)114

Descriptive statistics

Standard deviation403.50859
Coefficient of variation (CV)3.048569
Kurtosis48.456632
Mean132.36
Median Absolute Deviation (MAD)3
Skewness6.3712931
Sum13236
Variance162819.18
MonotonicityNot monotonic
2023-12-10T19:10:32.601186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
0 34
34.0%
1 10
 
10.0%
4 5
 
5.0%
2 5
 
5.0%
5 2
 
2.0%
3 2
 
2.0%
6 2
 
2.0%
943 2
 
2.0%
1513 1
 
1.0%
235 1
 
1.0%
Other values (36) 36
36.0%
ValueCountFrequency (%)
0 34
34.0%
1 10
 
10.0%
2 5
 
5.0%
3 2
 
2.0%
4 5
 
5.0%
5 2
 
2.0%
6 2
 
2.0%
7 1
 
1.0%
8 1
 
1.0%
9 1
 
1.0%
ValueCountFrequency (%)
3461 1
1.0%
1513 1
1.0%
943 2
2.0%
508 1
1.0%
479 1
1.0%
434 1
1.0%
390 1
1.0%
363 1
1.0%
352 1
1.0%
350 1
1.0%

SAD_CO
Real number (ℝ)

ZEROS 

Distinct32
Distinct (%)32.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38.78
Minimum0
Maximum1144
Zeros46
Zeros (%)46.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:10:32.818629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q327.5
95-th percentile157.2
Maximum1144
Range1144
Interquartile range (IQR)27.5

Descriptive statistics

Standard deviation134.19145
Coefficient of variation (CV)3.4603262
Kurtosis48.869837
Mean38.78
Median Absolute Deviation (MAD)1
Skewness6.5053088
Sum3878
Variance18007.345
MonotonicityNot monotonic
2023-12-10T19:10:33.093069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
0 46
46.0%
1 14
 
14.0%
2 6
 
6.0%
21 2
 
2.0%
47 2
 
2.0%
69 2
 
2.0%
14 2
 
2.0%
62 2
 
2.0%
61 1
 
1.0%
531 1
 
1.0%
Other values (22) 22
22.0%
ValueCountFrequency (%)
0 46
46.0%
1 14
 
14.0%
2 6
 
6.0%
9 1
 
1.0%
10 1
 
1.0%
11 1
 
1.0%
14 2
 
2.0%
15 1
 
1.0%
21 2
 
2.0%
26 1
 
1.0%
ValueCountFrequency (%)
1144 1
1.0%
531 1
1.0%
401 1
1.0%
212 1
1.0%
199 1
1.0%
155 1
1.0%
144 1
1.0%
69 2
2.0%
64 1
1.0%
62 2
2.0%

ANGRY_CO
Real number (ℝ)

ZEROS 

Distinct35
Distinct (%)35.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.05
Minimum0
Maximum116
Zeros33
Zeros (%)33.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:10:33.312063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q320.25
95-th percentile67
Maximum116
Range116
Interquartile range (IQR)20.25

Descriptive statistics

Standard deviation24.111012
Coefficient of variation (CV)1.6020606
Kurtosis3.3070275
Mean15.05
Median Absolute Deviation (MAD)1
Skewness1.8805444
Sum1505
Variance581.34091
MonotonicityNot monotonic
2023-12-10T19:10:33.550370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
0 33
33.0%
1 20
20.0%
2 6
 
6.0%
39 3
 
3.0%
12 2
 
2.0%
57 2
 
2.0%
67 2
 
2.0%
11 2
 
2.0%
16 2
 
2.0%
3 2
 
2.0%
Other values (25) 26
26.0%
ValueCountFrequency (%)
0 33
33.0%
1 20
20.0%
2 6
 
6.0%
3 2
 
2.0%
5 1
 
1.0%
7 1
 
1.0%
10 1
 
1.0%
11 2
 
2.0%
12 2
 
2.0%
15 1
 
1.0%
ValueCountFrequency (%)
116 1
1.0%
91 1
1.0%
78 1
1.0%
70 1
1.0%
67 2
2.0%
63 1
1.0%
57 2
2.0%
56 1
1.0%
55 1
1.0%
53 1
1.0%

DV_VALUE
Real number (ℝ)

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean77809090
Minimum3421.3801
Maximum6.2421401 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:10:33.767683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3421.3801
5-th percentile14726.772
Q1294945.75
median1402652.7
Q31.2916271 × 108
95-th percentile4.7211761 × 108
Maximum6.2421401 × 108
Range6.2421059 × 108
Interquartile range (IQR)1.2886776 × 108

Descriptive statistics

Standard deviation1.4341652 × 108
Coefficient of variation (CV)1.8431846
Kurtosis4.6707091
Mean77809090
Median Absolute Deviation (MAD)1391610
Skewness2.2430978
Sum7.780909 × 109
Variance2.0568298 × 1016
MonotonicityNot monotonic
2023-12-10T19:10:33.999989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
136639095.468327 1
 
1.0%
305657.129480169 1
 
1.0%
602332.981314377 1
 
1.0%
76666.4561062815 1
 
1.0%
357188.064027012 1
 
1.0%
1044125.44702035 1
 
1.0%
529964.825519488 1
 
1.0%
612605.053421558 1
 
1.0%
183164.078591721 1
 
1.0%
618496.716693633 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
3421.38009807778 1
1.0%
6547.31785959242 1
1.0%
8548.71179856215 1
1.0%
10333.9716820412 1
1.0%
11751.2933805232 1
1.0%
14883.3762913575 1
1.0%
17769.1311632028 1
1.0%
23244.6883880776 1
1.0%
24495.014943461 1
1.0%
24883.58155975 1
1.0%
ValueCountFrequency (%)
624214008.500709 1
1.0%
560848645.171717 1
1.0%
560812613.18561 1
1.0%
529997899.360388 1
1.0%
489594946.657733 1
1.0%
471197747.920689 1
1.0%
291486676.804397 1
1.0%
290953348.245332 1
1.0%
290624468.645705 1
1.0%
290552663.0167 1
1.0%

DPI_IRDS_VALUE
Real number (ℝ)

ZEROS 

Distinct79
Distinct (%)79.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean698.22671
Minimum-378.73383
Maximum17307.029
Zeros21
Zeros (%)21.0%
Negative8
Negative (%)8.0%
Memory size1.0 KiB
2023-12-10T19:10:34.248327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-378.73383
5-th percentile-31.697995
Q10
median54.097489
Q3400.95965
95-th percentile3519.4007
Maximum17307.029
Range17685.763
Interquartile range (IQR)400.95965

Descriptive statistics

Standard deviation2093.5136
Coefficient of variation (CV)2.9983293
Kurtosis41.620739
Mean698.22671
Median Absolute Deviation (MAD)64.632795
Skewness5.8488393
Sum69822.671
Variance4382799.3
MonotonicityNot monotonic
2023-12-10T19:10:34.551509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 21
 
21.0%
16.0 2
 
2.0%
56.9540837397799 1
 
1.0%
105.16752850115 1
 
1.0%
20.91447758041 1
 
1.0%
4953.6931275445 1
 
1.0%
2.61000967836026 1
 
1.0%
137.532278225901 1
 
1.0%
3490.49688887747 1
 
1.0%
244.25880880723 1
 
1.0%
Other values (69) 69
69.0%
ValueCountFrequency (%)
-378.733825599775 1
 
1.0%
-243.726653659716 1
 
1.0%
-225.477474169806 1
 
1.0%
-172.350125400349 1
 
1.0%
-35.9831745260162 1
 
1.0%
-31.4724596096203 1
 
1.0%
-23.68218025636 1
 
1.0%
-14.6109315799549 1
 
1.0%
0.0 21
21.0%
2.61000967836026 1
 
1.0%
ValueCountFrequency (%)
17307.0290709999 1
1.0%
8135.23068355198 1
1.0%
4953.6931275445 1
1.0%
4766.80165510997 1
1.0%
4068.57332191989 1
1.0%
3490.49688887747 1
1.0%
3374.45294964699 1
1.0%
2383.26450175 1
1.0%
2116.05761478934 1
1.0%
2095.84134423704 1
1.0%

COMMENT_IRDS_CO
Real number (ℝ)

ZEROS 

Distinct22
Distinct (%)22.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.86
Minimum-1
Maximum213
Zeros53
Zeros (%)53.0%
Negative2
Negative (%)2.0%
Memory size1.0 KiB
2023-12-10T19:10:34.782696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q35.5
95-th percentile20.55
Maximum213
Range214
Interquartile range (IQR)5.5

Descriptive statistics

Standard deviation26.45943
Coefficient of variation (CV)3.3663396
Kurtosis41.587429
Mean7.86
Median Absolute Deviation (MAD)0
Skewness6.1096936
Sum786
Variance700.10141
MonotonicityNot monotonic
2023-12-10T19:10:34.992148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0 53
53.0%
1 6
 
6.0%
4 5
 
5.0%
7 4
 
4.0%
2 4
 
4.0%
12 3
 
3.0%
3 3
 
3.0%
14 3
 
3.0%
-1 2
 
2.0%
5 2
 
2.0%
Other values (12) 15
 
15.0%
ValueCountFrequency (%)
-1 2
 
2.0%
0 53
53.0%
1 6
 
6.0%
2 4
 
4.0%
3 3
 
3.0%
4 5
 
5.0%
5 2
 
2.0%
7 4
 
4.0%
8 1
 
1.0%
9 2
 
2.0%
ValueCountFrequency (%)
213 1
 
1.0%
132 1
 
1.0%
82 1
 
1.0%
42 1
 
1.0%
31 1
 
1.0%
20 2
2.0%
16 1
 
1.0%
15 1
 
1.0%
14 3
3.0%
12 3
3.0%

CNRS_IRDS_CO
Real number (ℝ)

ZEROS 

Distinct20
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.08
Minimum-21
Maximum22
Zeros49
Zeros (%)49.0%
Negative29
Negative (%)29.0%
Memory size1.0 KiB
2023-12-10T19:10:35.203399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-21
5-th percentile-7.1
Q1-1
median0
Q30
95-th percentile6.1
Maximum22
Range43
Interquartile range (IQR)1

Descriptive statistics

Standard deviation5.0385985
Coefficient of variation (CV)-62.982481
Kurtosis8.3789801
Mean-0.08
Median Absolute Deviation (MAD)1
Skewness0.37381606
Sum-8
Variance25.387475
MonotonicityNot monotonic
2023-12-10T19:10:35.402706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 49
49.0%
-1 14
 
14.0%
1 6
 
6.0%
-3 4
 
4.0%
2 4
 
4.0%
3 3
 
3.0%
-4 2
 
2.0%
-9 2
 
2.0%
-6 2
 
2.0%
8 2
 
2.0%
Other values (10) 12
 
12.0%
ValueCountFrequency (%)
-21 1
 
1.0%
-15 1
 
1.0%
-13 1
 
1.0%
-9 2
 
2.0%
-7 1
 
1.0%
-6 2
 
2.0%
-4 2
 
2.0%
-3 4
 
4.0%
-2 1
 
1.0%
-1 14
14.0%
ValueCountFrequency (%)
22 1
 
1.0%
17 1
 
1.0%
16 1
 
1.0%
8 2
 
2.0%
6 2
 
2.0%
4 2
 
2.0%
3 3
 
3.0%
2 4
 
4.0%
1 6
 
6.0%
0 49
49.0%

RSPN_CO
Real number (ℝ)

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean142384.26
Minimum3
Maximum1036782
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:10:35.631214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile16.6
Q1342.25
median2378.5
Q3265489.75
95-th percentile681865.35
Maximum1036782
Range1036779
Interquartile range (IQR)265147.5

Descriptive statistics

Standard deviation243826.47
Coefficient of variation (CV)1.7124538
Kurtosis2.4554999
Mean142384.26
Median Absolute Deviation (MAD)2370
Skewness1.7943578
Sum14238426
Variance5.9451348 × 1010
MonotonicityNot monotonic
2023-12-10T19:10:35.888489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
299312 1
 
1.0%
507 1
 
1.0%
1098 1
 
1.0%
65 1
 
1.0%
596 1
 
1.0%
1716 1
 
1.0%
244 1
 
1.0%
1001 1
 
1.0%
182 1
 
1.0%
1141 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
3 1
1.0%
4 1
1.0%
7 1
1.0%
8 1
1.0%
9 1
1.0%
17 1
1.0%
18 1
1.0%
20 1
1.0%
23 1
1.0%
24 1
1.0%
ValueCountFrequency (%)
1036782 1
1.0%
842930 1
1.0%
842921 1
1.0%
836780 1
1.0%
694260 1
1.0%
681213 1
1.0%
632716 1
1.0%
629558 1
1.0%
628817 1
1.0%
584025 1
1.0%

RSPN_IRDS_CO
Real number (ℝ)

ZEROS 

Distinct54
Distinct (%)54.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean87.44
Minimum-12
Maximum2157
Zeros27
Zeros (%)27.0%
Negative2
Negative (%)2.0%
Memory size1.0 KiB
2023-12-10T19:10:36.409708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-12
5-th percentile0
Q10
median8
Q351.75
95-th percentile398.05
Maximum2157
Range2169
Interquartile range (IQR)51.75

Descriptive statistics

Standard deviation257.19392
Coefficient of variation (CV)2.9413761
Kurtosis44.001782
Mean87.44
Median Absolute Deviation (MAD)8
Skewness6.0240092
Sum8744
Variance66148.714
MonotonicityNot monotonic
2023-12-10T19:10:36.685593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 27
27.0%
1 5
 
5.0%
3 4
 
4.0%
4 4
 
4.0%
14 3
 
3.0%
2 3
 
3.0%
8 3
 
3.0%
51 2
 
2.0%
21 2
 
2.0%
7 2
 
2.0%
Other values (44) 45
45.0%
ValueCountFrequency (%)
-12 1
 
1.0%
-4 1
 
1.0%
0 27
27.0%
1 5
 
5.0%
2 3
 
3.0%
3 4
 
4.0%
4 4
 
4.0%
5 1
 
1.0%
6 1
 
1.0%
7 2
 
2.0%
ValueCountFrequency (%)
2157 1
1.0%
1005 1
1.0%
607 1
1.0%
530 1
1.0%
399 1
1.0%
398 1
1.0%
364 1
1.0%
355 1
1.0%
289 1
1.0%
257 1
1.0%

Sample

SEQ_NOCHNNEL_CL_NMCHNNEL_IDCHNNEL_NMCNTNTS_URLMEDIA_CL_NMCOLCT_DENTCE_DEDPI_VALUECOMMENT_COCNRS_COLIKE_COIBEST_COWOW_COHAHA_COSAD_COANGRY_CODV_VALUEDPI_IRDS_VALUECOMMENT_IRDS_COCNRS_IRDS_CORSPN_CORSPN_IRDS_CO
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32816178facebookbangtan.official방탄소년단https://www.facebook.com/bangtan.official/posts/3919042241444342new_album2021-01-072020-09-017802579.03495134627834392281024651874344344855471197747.9206894766.801655132-1694260399
42802126facebookbangtan.official방탄소년단https://www.facebook.com/bangtan.official/posts/4158895884125642album2021-01-072020-11-1110336380.33616261871326412543815809128864795270624214008.500709-172.35012520-2183678051
53171402facebookbangtan.official방탄소년단https://www.facebook.com/bangtan.official/posts/4321983597816869photo2021-01-072020-12-311350967.6796910706277660759948018484531881584938.17647417307.02907121381557992157
62850764facebookbangtan.official방탄소년단https://www.facebook.com/bangtan.official/posts/4024869304194968video_inline2021-01-082020-10-022690035.016065432321308986991833873461552633162451214.620171585.2636383-4282646112
72843984facebookbangtan.official방탄소년단https://www.facebook.com/bangtan.official/posts/4012470688768163video_inline2021-01-082020-09-284826737.4864121170128265190633362351100234616491291486676.8043974068.5733221122557602607
82922104facebookbangtan.official방탄소년단https://www.facebook.com/bangtan.official/posts/4150550711626826video_inline2021-01-082020-11-083097922.9408685280164131161702475733892341419187083566.398993545.7329493036439987
92983653facebookbangtan.official방탄소년단https://www.facebook.com/bangtan.official/posts/4187034384645125share2021-01-092020-11-202098780.72114649721348783159148096135742111126745367.750032975.1744614-1231496124
SEQ_NOCHNNEL_CL_NMCHNNEL_IDCHNNEL_NMCNTNTS_URLMEDIA_CL_NMCOLCT_DENTCE_DEDPI_VALUECOMMENT_COCNRS_COLIKE_COIBEST_COWOW_COHAHA_COSAD_COANGRY_CODV_VALUEDPI_IRDS_VALUECOMMENT_IRDS_COCNRS_IRDS_CORSPN_CORSPN_IRDS_CO
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923099080facebookygfamilyYGFAMILYhttps://www.facebook.com/ygfamily/posts/3820103698010193album2021-01-182020-12-17161128.1456612052647177106862151019730528.71644229.46250600179004
933191114facebookygfamilyYGFAMILYhttps://www.facebook.com/ygfamily/posts/3871802109507018photo2021-01-182021-01-0695271.839101118594349612864025753466.36332843.5347500104895
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953206712facebookygfamilyYGFAMILYhttps://www.facebook.com/ygfamily/posts/3883965181624044video_inline2021-01-202021-01-11273468.31618735617948938170842371116514751.6145132095.8413441426054257
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