Overview

Dataset statistics

Number of variables24
Number of observations4592
Missing cells2241
Missing cells (%)2.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory941.8 KiB
Average record size in memory210.0 B

Variable types

Text2
Numeric14
Categorical6
Boolean2

Dataset

Description한국저작권보호원이 운영·관리하는 불법복제물 유통분석시스템 내 불법복제물 콘텐츠 목록 정보
Author(재)한국저작권보호원
URLhttps://www.data.go.kr/data/15071045/fileData.do

Alerts

구조변경여부 has constant value ""Constant
세부설정값 is highly imbalanced (98.2%)Imbalance
다운로드파일총크기 is highly imbalanced (98.2%)Imbalance
전송피어수 is highly imbalanced (98.2%)Imbalance
업로드파일총크기 is highly imbalanced (98.2%)Imbalance
사용여부 is highly imbalanced (55.8%)Imbalance
게시글 번호 has 2193 (47.8%) missing valuesMissing
리처 수 has 334 (7.3%) zerosZeros

Reproduction

Analysis started2023-12-12 13:40:28.055915
Analysis finished2023-12-12 13:40:28.801924
Duration0.75 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

파일명
Text

Distinct523
Distinct (%)11.4%
Missing0
Missing (%)0.0%
Memory size36.0 KiB
2023-12-12T22:40:29.001084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length72
Median length58
Mean length32.201437
Min length5

Characters and Unicode

Total characters147869
Distinct characters392
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique38 ?
Unique (%)0.8%

Sample

1st row찬란한 내 인생.E61.200923.720p-NEXT.mp4
2nd row찬란한 내 인생.E61.200923.720p-NEXT.mp4
3rd row찬란한 내 인생.E61.200923.720p-NEXT.mp4
4th row찬란한 내 인생.E61.200923.720p-NEXT.mp4
5th row찬란한 내 인생.E61.200923.720p-NEXT.mp4
ValueCountFrequency (%)
엄마가 301
 
2.9%
기막힌 295
 
2.8%
내 226
 
2.2%
비밀의 216
 
2.1%
찬란한 207
 
2.0%
위험한 120
 
1.2%
악의 103
 
1.0%
더 93
 
0.9%
예뻤을 87
 
0.8%
내가 87
 
0.8%
Other values (701) 8661
83.3%
2023-12-12T22:40:29.459233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 17341
 
11.7%
0 16380
 
11.1%
2 12973
 
8.8%
E 9117
 
6.2%
p 8088
 
5.5%
7 6018
 
4.1%
5804
 
3.9%
4 5233
 
3.5%
1 4639
 
3.1%
- 4626
 
3.1%
Other values (382) 57650
39.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 56377
38.1%
Other Letter 28366
19.2%
Uppercase Letter 23439
15.9%
Other Punctuation 17348
 
11.7%
Lowercase Letter 11909
 
8.1%
Space Separator 5804
 
3.9%
Dash Punctuation 4626
 
3.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 963
 
3.4%
다 821
 
2.9%
가 711
 
2.5%
이 660
 
2.3%
한 568
 
2.0%
기 501
 
1.8%
내 401
 
1.4%
유 398
 
1.4%
인 395
 
1.4%
아 389
 
1.4%
Other values (326) 22559
79.5%
Uppercase Letter
ValueCountFrequency (%)
E 9117
38.9%
T 4576
19.5%
N 4552
19.4%
X 4541
19.4%
A 108
 
0.5%
D 98
 
0.4%
H 64
 
0.3%
R 53
 
0.2%
C 47
 
0.2%
M 34
 
0.1%
Other values (13) 249
 
1.1%
Lowercase Letter
ValueCountFrequency (%)
p 8088
67.9%
m 3491
29.3%
i 75
 
0.6%
e 59
 
0.5%
s 42
 
0.4%
r 28
 
0.2%
v 25
 
0.2%
x 21
 
0.2%
k 19
 
0.2%
o 19
 
0.2%
Other values (9) 42
 
0.4%
Decimal Number
ValueCountFrequency (%)
0 16380
29.1%
2 12973
23.0%
7 6018
 
10.7%
4 5233
 
9.3%
1 4639
 
8.2%
9 3848
 
6.8%
8 2811
 
5.0%
3 1705
 
3.0%
5 1540
 
2.7%
6 1230
 
2.2%
Other Punctuation
ValueCountFrequency (%)
. 17341
> 99.9%
! 7
 
< 0.1%
Space Separator
ValueCountFrequency (%)
5804
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4626
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 84155
56.9%
Latin 35348
23.9%
Hangul 28366
 
19.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 963
 
3.4%
다 821
 
2.9%
가 711
 
2.5%
이 660
 
2.3%
한 568
 
2.0%
기 501
 
1.8%
내 401
 
1.4%
유 398
 
1.4%
인 395
 
1.4%
아 389
 
1.4%
Other values (326) 22559
79.5%
Latin
ValueCountFrequency (%)
E 9117
25.8%
p 8088
22.9%
T 4576
12.9%
N 4552
12.9%
X 4541
12.8%
m 3491
 
9.9%
A 108
 
0.3%
D 98
 
0.3%
i 75
 
0.2%
H 64
 
0.2%
Other values (32) 638
 
1.8%
Common
ValueCountFrequency (%)
. 17341
20.6%
0 16380
19.5%
2 12973
15.4%
7 6018
 
7.2%
5804
 
6.9%
4 5233
 
6.2%
1 4639
 
5.5%
- 4626
 
5.5%
9 3848
 
4.6%
8 2811
 
3.3%
Other values (4) 4482
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 119503
80.8%
Hangul 28366
 
19.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 17341
14.5%
0 16380
13.7%
2 12973
10.9%
E 9117
 
7.6%
p 8088
 
6.8%
7 6018
 
5.0%
5804
 
4.9%
4 5233
 
4.4%
1 4639
 
3.9%
- 4626
 
3.9%
Other values (46) 29284
24.5%
Hangul
ValueCountFrequency (%)
의 963
 
3.4%
다 821
 
2.9%
가 711
 
2.5%
이 660
 
2.3%
한 568
 
2.0%
기 501
 
1.8%
내 401
 
1.4%
유 398
 
1.4%
인 395
 
1.4%
아 389
 
1.4%
Other values (326) 22559
79.5%

게시글 번호
Real number (ℝ)

MISSING 

Distinct391
Distinct (%)16.3%
Missing2193
Missing (%)47.8%
Infinite0
Infinite (%)0.0%
Mean197224.88
Minimum10105
Maximum342072
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size40.5 KiB
2023-12-12T22:40:29.639739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10105
5-th percentile10166
Q148441
median293018
Q3331444
95-th percentile337296
Maximum342072
Range331967
Interquartile range (IQR)283003

Descriptive statistics

Standard deviation137494.76
Coefficient of variation (CV)0.69714712
Kurtosis-1.8524958
Mean197224.88
Median Absolute Deviation (MAD)44873
Skewness-0.21633702
Sum4.7314249 × 108
Variance1.8904808 × 1010
MonotonicityNot monotonic
2023-12-12T22:40:29.798924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
331214 16
 
0.3%
48337 10
 
0.2%
308244 10
 
0.2%
98289 9
 
0.2%
10200 9
 
0.2%
331721 9
 
0.2%
309122 9
 
0.2%
309118 9
 
0.2%
308360 9
 
0.2%
341849 9
 
0.2%
Other values (381) 2300
50.1%
(Missing) 2193
47.8%
ValueCountFrequency (%)
10105 6
0.1%
10123 4
0.1%
10124 8
0.2%
10125 7
0.2%
10126 6
0.1%
10127 7
0.2%
10131 6
0.1%
10132 7
0.2%
10133 8
0.2%
10134 7
0.2%
ValueCountFrequency (%)
342072 7
0.2%
342060 6
0.1%
341934 8
0.2%
341849 9
0.2%
340138 8
0.2%
339646 8
0.2%
339089 2
 
< 0.1%
339050 6
0.1%
339044 7
0.2%
338772 7
0.2%

게시판일련번호
Real number (ℝ)

Distinct760
Distinct (%)16.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26751.53
Minimum5670
Maximum30332
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size40.5 KiB
2023-12-12T22:40:29.970354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5670
5-th percentile23993
Q125420
median26711
Q328237
95-th percentile29565
Maximum30332
Range24662
Interquartile range (IQR)2817

Descriptive statistics

Standard deviation1989.4816
Coefficient of variation (CV)0.074368889
Kurtosis25.63263
Mean26751.53
Median Absolute Deviation (MAD)1351
Skewness-2.4640959
Sum1.2284303 × 108
Variance3958036.9
MonotonicityNot monotonic
2023-12-12T22:40:30.468913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
28234 10
 
0.2%
25092 10
 
0.2%
24769 10
 
0.2%
27193 9
 
0.2%
25093 9
 
0.2%
25096 9
 
0.2%
25098 9
 
0.2%
27134 9
 
0.2%
27147 9
 
0.2%
27160 9
 
0.2%
Other values (750) 4499
98.0%
ValueCountFrequency (%)
5670 1
 
< 0.1%
5671 9
0.2%
23312 6
0.1%
23313 4
0.1%
23315 1
 
< 0.1%
23511 2
 
< 0.1%
23512 4
0.1%
23513 7
0.2%
23514 7
0.2%
23515 2
 
< 0.1%
ValueCountFrequency (%)
30332 7
0.2%
30331 6
0.1%
30319 9
0.2%
30318 8
0.2%
30275 2
 
< 0.1%
30274 2
 
< 0.1%
30172 8
0.2%
30024 1
 
< 0.1%
30023 8
0.2%
29985 2
 
< 0.1%

공유일련번호
Real number (ℝ)

Distinct4584
Distinct (%)100.0%
Missing8
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean127381.77
Minimum49968
Maximum140243
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size40.5 KiB
2023-12-12T22:40:30.621772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum49968
5-th percentile113987.15
Q1122674.75
median127699
Q3133498.5
95-th percentile138190.4
Maximum140243
Range90275
Interquartile range (IQR)10823.75

Descriptive statistics

Standard deviation7969.8
Coefficient of variation (CV)0.062566252
Kurtosis17.888443
Mean127381.77
Median Absolute Deviation (MAD)5319
Skewness-2.1255926
Sum5.8391804 × 108
Variance63517712
MonotonicityNot monotonic
2023-12-12T22:40:30.800550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
129557 1
 
< 0.1%
129567 1
 
< 0.1%
129566 1
 
< 0.1%
129565 1
 
< 0.1%
129564 1
 
< 0.1%
129563 1
 
< 0.1%
129558 1
 
< 0.1%
129556 1
 
< 0.1%
129645 1
 
< 0.1%
129551 1
 
< 0.1%
Other values (4574) 4574
99.6%
(Missing) 8
 
0.2%
ValueCountFrequency (%)
49968 1
< 0.1%
49969 1
< 0.1%
49970 1
< 0.1%
49971 1
< 0.1%
49972 1
< 0.1%
49973 1
< 0.1%
49974 1
< 0.1%
49975 1
< 0.1%
49976 1
< 0.1%
49977 1
< 0.1%
ValueCountFrequency (%)
140243 1
< 0.1%
140242 1
< 0.1%
140241 1
< 0.1%
140240 1
< 0.1%
140239 1
< 0.1%
140237 1
< 0.1%
140236 1
< 0.1%
140235 1
< 0.1%
140234 1
< 0.1%
140233 1
< 0.1%

적발일련번호
Real number (ℝ)

Distinct760
Distinct (%)16.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26345.02
Minimum5284
Maximum29914
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size40.5 KiB
2023-12-12T22:40:30.964229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5284
5-th percentile23599
Q125026
median26298
Q327820
95-th percentile29148
Maximum29914
Range24630
Interquartile range (IQR)2794

Descriptive statistics

Standard deviation1981.0007
Coefficient of variation (CV)0.075194502
Kurtosis25.996936
Mean26345.02
Median Absolute Deviation (MAD)1339
Skewness-2.4884722
Sum1.2097633 × 108
Variance3924363.8
MonotonicityNot monotonic
2023-12-12T22:40:31.153715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
27817 10
 
0.2%
24698 10
 
0.2%
24375 10
 
0.2%
26780 9
 
0.2%
24699 9
 
0.2%
24702 9
 
0.2%
24704 9
 
0.2%
26721 9
 
0.2%
26734 9
 
0.2%
26747 9
 
0.2%
Other values (750) 4499
98.0%
ValueCountFrequency (%)
5284 1
 
< 0.1%
5285 9
0.2%
22918 6
0.1%
22919 4
0.1%
22921 1
 
< 0.1%
23117 2
 
< 0.1%
23118 4
0.1%
23119 7
0.2%
23120 7
0.2%
23121 2
 
< 0.1%
ValueCountFrequency (%)
29914 7
0.2%
29913 6
0.1%
29901 9
0.2%
29900 8
0.2%
29857 2
 
< 0.1%
29856 2
 
< 0.1%
29754 8
0.2%
29606 1
 
< 0.1%
29605 8
0.2%
29567 2
 
< 0.1%

파일일련번호
Real number (ℝ)

Distinct760
Distinct (%)16.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26259.162
Minimum5182
Maximum29839
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size40.5 KiB
2023-12-12T22:40:31.304953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5182
5-th percentile23501
Q124928
median26219
Q327744
95-th percentile29072
Maximum29839
Range24657
Interquartile range (IQR)2816

Descriptive statistics

Standard deviation1989.0232
Coefficient of variation (CV)0.075745876
Kurtosis25.635306
Mean26259.162
Median Absolute Deviation (MAD)1351
Skewness-2.4643868
Sum1.2058207 × 108
Variance3956213.3
MonotonicityNot monotonic
2023-12-12T22:40:31.478406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
27741 10
 
0.2%
24600 10
 
0.2%
24277 10
 
0.2%
26701 9
 
0.2%
24601 9
 
0.2%
24604 9
 
0.2%
24606 9
 
0.2%
26642 9
 
0.2%
26655 9
 
0.2%
26668 9
 
0.2%
Other values (750) 4499
98.0%
ValueCountFrequency (%)
5182 1
 
< 0.1%
5183 9
0.2%
22820 6
0.1%
22821 4
0.1%
22823 1
 
< 0.1%
23019 2
 
< 0.1%
23020 4
0.1%
23021 7
0.2%
23022 7
0.2%
23023 2
 
< 0.1%
ValueCountFrequency (%)
29839 7
0.2%
29838 6
0.1%
29826 9
0.2%
29825 8
0.2%
29782 2
 
< 0.1%
29781 2
 
< 0.1%
29679 8
0.2%
29531 1
 
< 0.1%
29530 8
0.2%
29492 2
 
< 0.1%

편성일련번호
Real number (ℝ)

Distinct456
Distinct (%)9.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean210379.33
Minimum174
Maximum219706
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size40.5 KiB
2023-12-12T22:40:31.632267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum174
5-th percentile205127
Q1210028
median213185
Q3216126
95-th percentile218625
Maximum219706
Range219532
Interquartile range (IQR)6098

Descriptive statistics

Standard deviation20179.814
Coefficient of variation (CV)0.095921086
Kurtosis76.108204
Mean210379.33
Median Absolute Deviation (MAD)3118
Skewness-8.4274212
Sum9.6606188 × 108
Variance4.0722489 × 108
MonotonicityNot monotonic
2023-12-12T22:40:31.777164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
210425 82
 
1.8%
205410 60
 
1.3%
210894 36
 
0.8%
210623 33
 
0.7%
80736 32
 
0.7%
210304 30
 
0.7%
210539 29
 
0.6%
205421 29
 
0.6%
211636 28
 
0.6%
210067 28
 
0.6%
Other values (446) 4205
91.6%
ValueCountFrequency (%)
174 2
 
< 0.1%
356 2
 
< 0.1%
670 3
 
0.1%
767 8
 
0.2%
791 7
 
0.2%
793 4
 
0.1%
80736 32
0.7%
114770 9
 
0.2%
114795 1
 
< 0.1%
173755 2
 
< 0.1%
ValueCountFrequency (%)
219706 8
 
0.2%
219538 2
 
< 0.1%
219351 7
 
0.2%
219325 7
 
0.2%
219324 14
0.3%
219310 20
0.4%
219229 24
0.5%
219124 24
0.5%
219118 8
 
0.2%
218961 5
 
0.1%

세부설정값
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size36.0 KiB
0
4584 
<NA>
 
8

Length

Max length4
Median length1
Mean length1.0052265
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 4584
99.8%
<NA> 8
 
0.2%

Length

2023-12-12T22:40:31.918982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:40:32.039277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 4584
99.8%
na 8
 
0.2%

다운로드파일총크기
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size36.0 KiB
0
4584 
<NA>
 
8

Length

Max length4
Median length1
Mean length1.0052265
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 4584
99.8%
<NA> 8
 
0.2%

Length

2023-12-12T22:40:32.162737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:40:32.266152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 4584
99.8%
na 8
 
0.2%

전송피어수
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size36.0 KiB
1
4584 
<NA>
 
8

Length

Max length4
Median length1
Mean length1.0052265
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 4584
99.8%
<NA> 8
 
0.2%

Length

2023-12-12T22:40:32.395647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:40:32.536963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 4584
99.8%
na 8
 
0.2%

업로드파일총크기
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size36.0 KiB
0
4584 
<NA>
 
8

Length

Max length4
Median length1
Mean length1.0052265
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 4584
99.8%
<NA> 8
 
0.2%

Length

2023-12-12T22:40:32.672154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:40:32.803109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 4584
99.8%
na 8
 
0.2%

시더 수
Real number (ℝ)

Distinct292
Distinct (%)6.4%
Missing8
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean33.16034
Minimum1
Maximum3112
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size40.5 KiB
2023-12-12T22:40:32.932134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q39
95-th percentile124.85
Maximum3112
Range3111
Interquartile range (IQR)8

Descriptive statistics

Standard deviation152.46696
Coefficient of variation (CV)4.5978707
Kurtosis185.37243
Mean33.16034
Median Absolute Deviation (MAD)1
Skewness11.60228
Sum152007
Variance23246.173
MonotonicityNot monotonic
2023-12-12T22:40:33.100466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1431
31.2%
2 1399
30.5%
3 278
 
6.1%
4 113
 
2.5%
5 86
 
1.9%
7 50
 
1.1%
6 45
 
1.0%
10 35
 
0.8%
9 35
 
0.8%
18 32
 
0.7%
Other values (282) 1080
23.5%
ValueCountFrequency (%)
1 1431
31.2%
2 1399
30.5%
3 278
 
6.1%
4 113
 
2.5%
5 86
 
1.9%
6 45
 
1.0%
7 50
 
1.1%
8 27
 
0.6%
9 35
 
0.8%
10 35
 
0.8%
ValueCountFrequency (%)
3112 1
< 0.1%
3102 1
< 0.1%
3098 1
< 0.1%
3095 1
< 0.1%
2622 1
< 0.1%
1844 1
< 0.1%
1842 1
< 0.1%
1658 1
< 0.1%
1368 1
< 0.1%
1366 1
< 0.1%

리처 수
Real number (ℝ)

ZEROS 

Distinct365
Distinct (%)8.0%
Missing8
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean44.54712
Minimum0
Maximum1493
Zeros334
Zeros (%)7.3%
Negative0
Negative (%)0.0%
Memory size40.5 KiB
2023-12-12T22:40:33.279197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median12
Q337
95-th percentile203
Maximum1493
Range1493
Interquartile range (IQR)34

Descriptive statistics

Standard deviation104.99209
Coefficient of variation (CV)2.3568772
Kurtosis42.971399
Mean44.54712
Median Absolute Deviation (MAD)10
Skewness5.6332456
Sum204204
Variance11023.339
MonotonicityNot monotonic
2023-12-12T22:40:33.448364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 334
 
7.3%
1 334
 
7.3%
3 263
 
5.7%
2 259
 
5.6%
4 196
 
4.3%
5 155
 
3.4%
6 131
 
2.9%
7 130
 
2.8%
9 128
 
2.8%
13 110
 
2.4%
Other values (355) 2544
55.4%
ValueCountFrequency (%)
0 334
7.3%
1 334
7.3%
2 259
5.6%
3 263
5.7%
4 196
4.3%
5 155
3.4%
6 131
 
2.9%
7 130
 
2.8%
8 106
 
2.3%
9 128
 
2.8%
ValueCountFrequency (%)
1493 1
< 0.1%
1236 1
< 0.1%
1203 1
< 0.1%
1199 1
< 0.1%
1183 1
< 0.1%
1116 1
< 0.1%
996 2
< 0.1%
950 1
< 0.1%
943 1
< 0.1%
865 1
< 0.1%

전송 간격
Real number (ℝ)

Distinct360
Distinct (%)7.9%
Missing8
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean1799.8759
Minimum1620
Maximum1979
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size40.5 KiB
2023-12-12T22:40:33.623389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1620
5-th percentile1636
Q11709
median1803
Q31889
95-th percentile1961
Maximum1979
Range359
Interquartile range (IQR)180

Descriptive statistics

Standard deviation104.17388
Coefficient of variation (CV)0.057878368
Kurtosis-1.19797
Mean1799.8759
Median Absolute Deviation (MAD)90
Skewness-0.029690608
Sum8250631
Variance10852.197
MonotonicityNot monotonic
2023-12-12T22:40:33.798234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1620 25
 
0.5%
1871 25
 
0.5%
1913 23
 
0.5%
1826 23
 
0.5%
1841 22
 
0.5%
1733 22
 
0.5%
1649 21
 
0.5%
1869 21
 
0.5%
1893 21
 
0.5%
1676 20
 
0.4%
Other values (350) 4361
95.0%
ValueCountFrequency (%)
1620 25
0.5%
1621 13
0.3%
1622 11
0.2%
1623 19
0.4%
1624 14
0.3%
1625 7
 
0.2%
1626 20
0.4%
1627 14
0.3%
1628 10
 
0.2%
1629 16
0.3%
ValueCountFrequency (%)
1979 14
0.3%
1978 7
 
0.2%
1977 9
0.2%
1976 14
0.3%
1975 16
0.3%
1974 13
0.3%
1973 13
0.3%
1972 12
0.3%
1971 18
0.4%
1970 15
0.3%

전송최소간격
Real number (ℝ)

Distinct360
Distinct (%)7.9%
Missing8
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean1799.8759
Minimum1620
Maximum1979
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size40.5 KiB
2023-12-12T22:40:33.963065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1620
5-th percentile1636
Q11709
median1803
Q31889
95-th percentile1961
Maximum1979
Range359
Interquartile range (IQR)180

Descriptive statistics

Standard deviation104.17388
Coefficient of variation (CV)0.057878368
Kurtosis-1.19797
Mean1799.8759
Median Absolute Deviation (MAD)90
Skewness-0.029690608
Sum8250631
Variance10852.197
MonotonicityNot monotonic
2023-12-12T22:40:34.144223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1620 25
 
0.5%
1871 25
 
0.5%
1913 23
 
0.5%
1826 23
 
0.5%
1841 22
 
0.5%
1733 22
 
0.5%
1649 21
 
0.5%
1869 21
 
0.5%
1893 21
 
0.5%
1676 20
 
0.4%
Other values (350) 4361
95.0%
ValueCountFrequency (%)
1620 25
0.5%
1621 13
0.3%
1622 11
0.2%
1623 19
0.4%
1624 14
0.3%
1625 7
 
0.2%
1626 20
0.4%
1627 14
0.3%
1628 10
 
0.2%
1629 16
0.3%
ValueCountFrequency (%)
1979 14
0.3%
1978 7
 
0.2%
1977 9
0.2%
1976 14
0.3%
1975 16
0.3%
1974 13
0.3%
1973 13
0.3%
1972 12
0.3%
1971 18
0.4%
1970 15
0.3%

조각수
Real number (ℝ)

Distinct7
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1981836
Minimum131072
Maximum8388608
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size40.5 KiB
2023-12-12T22:40:34.322454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum131072
5-th percentile1048576
Q11048576
median2097152
Q32097152
95-th percentile4194304
Maximum8388608
Range8257536
Interquartile range (IQR)1048576

Descriptive statistics

Standard deviation925133.09
Coefficient of variation (CV)0.46680607
Kurtosis2.0104107
Mean1981836
Median Absolute Deviation (MAD)0
Skewness1.1274998
Sum9.1005911 × 109
Variance8.5587124 × 1011
MonotonicityNot monotonic
2023-12-12T22:40:34.448066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
2097152 2730
59.5%
1048576 1224
26.7%
4194304 480
 
10.5%
524288 85
 
1.9%
262144 61
 
1.3%
131072 10
 
0.2%
8388608 2
 
< 0.1%
ValueCountFrequency (%)
131072 10
 
0.2%
262144 61
 
1.3%
524288 85
 
1.9%
1048576 1224
26.7%
2097152 2730
59.5%
4194304 480
 
10.5%
8388608 2
 
< 0.1%
ValueCountFrequency (%)
8388608 2
 
< 0.1%
4194304 480
 
10.5%
2097152 2730
59.5%
1048576 1224
26.7%
524288 85
 
1.9%
262144 61
 
1.3%
131072 10
 
0.2%

조각크기
Text

Distinct417
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size36.0 KiB
2023-12-12T22:40:34.740265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length7.8109756
Min length2

Characters and Unicode

Total characters35868
Distinct characters12
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique38 ?
Unique (%)0.8%

Sample

1st row717207133
2nd row717207133
3rd row717207133
4th row717207133
5th row717207133
ValueCountFrequency (%)
없음 1101
 
24.0%
890048386 32
 
0.7%
1307744091 29
 
0.6%
1105029485 26
 
0.6%
714996928 25
 
0.5%
2047830492 24
 
0.5%
1918055058 24
 
0.5%
714644129 24
 
0.5%
893725301 24
 
0.5%
1327949542 24
 
0.5%
Other values (407) 3259
71.0%
2023-12-12T22:40:35.182118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 5017
14.0%
2 3584
10.0%
6 3537
9.9%
9 3273
9.1%
0 3204
8.9%
7 3124
8.7%
8 3058
8.5%
3 3043
8.5%
4 3031
8.5%
5 2795
7.8%
Other values (2) 2202
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 33666
93.9%
Other Letter 2202
 
6.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 5017
14.9%
2 3584
10.6%
6 3537
10.5%
9 3273
9.7%
0 3204
9.5%
7 3124
9.3%
8 3058
9.1%
3 3043
9.0%
4 3031
9.0%
5 2795
8.3%
Other Letter
ValueCountFrequency (%)
없 1101
50.0%
음 1101
50.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33666
93.9%
Hangul 2202
 
6.1%

Most frequent character per script

Common
ValueCountFrequency (%)
1 5017
14.9%
2 3584
10.6%
6 3537
10.5%
9 3273
9.7%
0 3204
9.5%
7 3124
9.3%
8 3058
9.1%
3 3043
9.0%
4 3031
9.0%
5 2795
8.3%
Hangul
ValueCountFrequency (%)
없 1101
50.0%
음 1101
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33666
93.9%
Hangul 2202
 
6.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 5017
14.9%
2 3584
10.6%
6 3537
10.5%
9 3273
9.7%
0 3204
9.5%
7 3124
9.3%
8 3058
9.1%
3 3043
9.0%
4 3031
9.0%
5 2795
8.3%
Hangul
ValueCountFrequency (%)
없 1101
50.0%
음 1101
50.0%

구분정보
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size36.0 KiB
single
3491 
multi
1101 

Length

Max length6
Median length6
Mean length5.7602352
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
single 3491
76.0%
multi 1101
 
24.0%

Length

2023-12-12T22:40:35.360178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:40:35.481285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
single 3491
76.0%
multi 1101
 
24.0%

시드일련번호
Real number (ℝ)

Distinct760
Distinct (%)16.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26247.098
Minimum5180
Maximum29820
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size40.5 KiB
2023-12-12T22:40:35.597045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5180
5-th percentile23499
Q124926
median26200
Q327725
95-th percentile29053
Maximum29820
Range24640
Interquartile range (IQR)2799

Descriptive statistics

Standard deviation1982.8152
Coefficient of variation (CV)0.07554417
Kurtosis25.92767
Mean26247.098
Median Absolute Deviation (MAD)1341
Skewness-2.4831563
Sum1.2052667 × 108
Variance3931556.2
MonotonicityNot monotonic
2023-12-12T22:40:35.760874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
27722 10
 
0.2%
24598 10
 
0.2%
24275 10
 
0.2%
26682 9
 
0.2%
24599 9
 
0.2%
24602 9
 
0.2%
24604 9
 
0.2%
26623 9
 
0.2%
26636 9
 
0.2%
26649 9
 
0.2%
Other values (750) 4499
98.0%
ValueCountFrequency (%)
5180 1
 
< 0.1%
5181 9
0.2%
22818 6
0.1%
22819 4
0.1%
22821 1
 
< 0.1%
23017 2
 
< 0.1%
23018 4
0.1%
23019 7
0.2%
23020 7
0.2%
23021 2
 
< 0.1%
ValueCountFrequency (%)
29820 7
0.2%
29819 6
0.1%
29807 9
0.2%
29806 8
0.2%
29763 2
 
< 0.1%
29762 2
 
< 0.1%
29660 8
0.2%
29512 1
 
< 0.1%
29511 8
0.2%
29473 2
 
< 0.1%

구조변경여부
Boolean

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
False
4592 
ValueCountFrequency (%)
False 4592
100.0%
2023-12-12T22:40:36.215555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

서버일련번호
Real number (ℝ)

Distinct4584
Distinct (%)100.0%
Missing8
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean737916.27
Minimum161755
Maximum821843
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size40.5 KiB
2023-12-12T22:40:36.341378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum161755
5-th percentile658383.2
Q1705657.75
median742230
Q3776483
95-th percentile804576.5
Maximum821843
Range660088
Interquartile range (IQR)70825.25

Descriptive statistics

Standard deviation51736.868
Coefficient of variation (CV)0.070112111
Kurtosis31.742941
Mean737916.27
Median Absolute Deviation (MAD)36060
Skewness-3.0733078
Sum3.3826082 × 109
Variance2.6767035 × 109
MonotonicityNot monotonic
2023-12-12T22:40:36.503480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
751241 1
 
< 0.1%
751265 1
 
< 0.1%
751262 1
 
< 0.1%
751261 1
 
< 0.1%
751257 1
 
< 0.1%
751256 1
 
< 0.1%
751243 1
 
< 0.1%
751239 1
 
< 0.1%
751767 1
 
< 0.1%
751233 1
 
< 0.1%
Other values (4574) 4574
99.6%
(Missing) 8
 
0.2%
ValueCountFrequency (%)
161755 1
< 0.1%
161760 1
< 0.1%
161761 1
< 0.1%
161762 1
< 0.1%
161768 1
< 0.1%
161776 1
< 0.1%
161777 1
< 0.1%
161778 1
< 0.1%
161780 1
< 0.1%
161784 1
< 0.1%
ValueCountFrequency (%)
821843 1
< 0.1%
821838 1
< 0.1%
821835 1
< 0.1%
821822 1
< 0.1%
821821 1
< 0.1%
821815 1
< 0.1%
821810 1
< 0.1%
821800 1
< 0.1%
821798 1
< 0.1%
821785 1
< 0.1%

토렌트일련번호
Real number (ℝ)

Distinct10
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean231.8064
Minimum142
Maximum239
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size40.5 KiB
2023-12-12T22:40:36.692839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum142
5-th percentile226
Q1232
median235
Q3235
95-th percentile235
Maximum239
Range97
Interquartile range (IQR)3

Descriptive statistics

Standard deviation7.5241988
Coefficient of variation (CV)0.032458978
Kurtosis47.116741
Mean231.8064
Median Absolute Deviation (MAD)1
Skewness-5.2553435
Sum1064455
Variance56.613568
MonotonicityNot monotonic
2023-12-12T22:40:36.820966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
235 2183
47.5%
234 1010
22.0%
226 864
 
18.8%
239 184
 
4.0%
232 121
 
2.6%
217 112
 
2.4%
202 100
 
2.2%
142 10
 
0.2%
233 6
 
0.1%
238 2
 
< 0.1%
ValueCountFrequency (%)
142 10
 
0.2%
202 100
 
2.2%
217 112
 
2.4%
226 864
 
18.8%
232 121
 
2.6%
233 6
 
0.1%
234 1010
22.0%
235 2183
47.5%
238 2
 
< 0.1%
239 184
 
4.0%
ValueCountFrequency (%)
239 184
 
4.0%
238 2
 
< 0.1%
235 2183
47.5%
234 1010
22.0%
233 6
 
0.1%
232 121
 
2.6%
226 864
 
18.8%
217 112
 
2.4%
202 100
 
2.2%
142 10
 
0.2%

사용여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
True
4171 
False
421 
ValueCountFrequency (%)
True 4171
90.8%
False 421
 
9.2%
2023-12-12T22:40:36.957204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

게시판유형
Categorical

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size36.0 KiB
TV예능/오락
2150 
TV드라마
1579 
TV다큐
835 
한국영화
 
15
외국영화
 
13

Length

Max length7
Median length5
Mean length5.7484756
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
TV예능/오락 2150
46.8%
TV드라마 1579
34.4%
TV다큐 835
 
18.2%
한국영화 15
 
0.3%
외국영화 13
 
0.3%

Length

2023-12-12T22:40:37.080018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:40:37.244152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
tv예능/오락 2150
46.8%
tv드라마 1579
34.4%
tv다큐 835
 
18.2%
한국영화 15
 
0.3%
외국영화 13
 
0.3%

Sample

파일명게시글 번호게시판일련번호공유일련번호적발일련번호파일일련번호편성일련번호세부설정값다운로드파일총크기전송피어수업로드파일총크기시더 수리처 수전송 간격전송최소간격조각수조각크기구분정보시드일련번호구조변경여부서버일련번호토렌트일련번호사용여부게시판유형
0찬란한 내 인생.E61.200923.720p-NEXT.mp4336944290181359192860128525217323001035164416441048576717207133single28506N792083239NTV드라마
1찬란한 내 인생.E61.200923.720p-NEXT.mp4336944290181359252860128525217323001037172917291048576717207133single28506N792087239NTV드라마
2찬란한 내 인생.E61.200923.720p-NEXT.mp4336944290181359262860128525217323001038165416541048576717207133single28506N792092239NTV드라마
3찬란한 내 인생.E61.200923.720p-NEXT.mp4336944290181359272860128525217323001038169616961048576717207133single28506N792098239NTV드라마
4찬란한 내 인생.E61.200923.720p-NEXT.mp43369442901813592828601285252173230010316184318431048576717207133single28506N792102239NTV드라마
5비밀의 남자.E13.200923.720p-NEXT.mp4336960290221359462860528529217297001029179517951048576859917858single28510N792231239NTV드라마
6비밀의 남자.E13.200923.720p-NEXT.mp4336960290221359472860528529217297001029172317231048576859917858single28510N792233239NTV드라마
7비밀의 남자.E13.200923.720p-NEXT.mp4336960290221359502860528529217297001018186618661048576859917858single28510N792235239NTV드라마
8비밀의 남자.E13.200923.720p-NEXT.mp4336960290221359522860528529217297001028172217221048576859917858single28510N792240239NTV드라마
9비밀의 남자.E13.200923.720p-NEXT.mp4336960290221359552860528529217297001028165416541048576859917858single28510N792245239NTV드라마
파일명게시글 번호게시판일련번호공유일련번호적발일련번호파일일련번호편성일련번호세부설정값다운로드파일총크기전송피어수업로드파일총크기시더 수리처 수전송 간격전송최소간격조각수조각크기구분정보시드일련번호구조변경여부서버일련번호토렌트일련번호사용여부게시판유형
4582생활의 달인.E761.200831.720p-NEXT.mp498531260161251992560725524210421001098601636163620971521222391493single25509N725353232NTV예능/오락
4583기막힌 이야기 실제상황.E406.200830.720p-NEXT.mp49853426017125200256082552520993700109281775177520971521491561009single25510N725358232NTV다큐
4584저널리즘 토크쇼 J.E103.200906.720p-NEXT.mp49886226164125548257512567220963700102341654165420971521204020807single25653N729243232NTV다큐
4585저널리즘 토크쇼 J.E103.200906.720p-NEXT.mp49886226164125549257512567220963700102551861186120971521204020807single25653N729247232NTV다큐
4586저널리즘 토크쇼 J.E103.200906.720p-NEXT.mp49886226164125550257512567220963700102961925192520971521204020807single25653N729259232NTV다큐
4587저널리즘 토크쇼 J.E103.200906.720p-NEXT.mp49886226164125551257512567220963700102381880188020971521204020807single25653N729262232NTV다큐
4588저널리즘 토크쇼 J.E103.200906.720p-NEXT.mp49886226164125552257512567220963700102961628162820971521204020807single25653N729264232NTV다큐
4589저널리즘 토크쇼 J.E103.200906.720p-NEXT.mp49886226164125553257512567220963700102291965196520971521204020807single25653N729272232NTV다큐
4590저널리즘 토크쇼 J.E103.200906.720p-NEXT.mp49886226164125554257512567220963700102661852185220971521204020807single25653N729275232NTV다큐
4591서울촌놈 E09.200906.720p.WEB-DL.x264.AAC-Deresisi.mp498861261651255552575225673211638001089231853185320971521765843902single25654N729282232NTV예능/오락