Overview

Dataset statistics

Number of variables35
Number of observations5572
Missing cells65696
Missing cells (%)33.7%
Duplicate rows3
Duplicate rows (%)0.1%
Total size in memory1.5 MiB
Average record size in memory286.0 B

Variable types

Categorical11
Text10
Boolean10
DateTime1
Unsupported2
Numeric1

Dataset

Description한국저작권보호원이 운영하는 온라인 불법복제물 심의시스템의 시스템 운영관리 정보로 회원정보의 일부를 포함하고 있는 데이터임
Author(재)한국저작권보호원
URLhttps://www.data.go.kr/data/15087084/fileData.do

Alerts

가입목적 has constant value ""Constant
서포터즈여부 has constant value ""Constant
Dataset has 3 (0.1%) duplicate rowsDuplicates
멤버구분코드 is highly imbalanced (99.3%)Imbalance
회원상태코드 is highly imbalanced (93.4%)Imbalance
일반회원여부 is highly imbalanced (98.8%)Imbalance
문체부여부 is highly imbalanced (99.3%)Imbalance
실무협의체여부 is highly imbalanced (98.8%)Imbalance
모니터요원여부 is highly imbalanced (68.6%)Imbalance
진흥원연계코드 is highly imbalanced (94.4%)Imbalance
회원대분류구분코드1 is highly imbalanced (99.3%)Imbalance
회원대분류구분코드2 is highly imbalanced (99.3%)Imbalance
뉴스레터수신여부 is highly imbalanced (57.7%)Imbalance
비고 is highly imbalanced (97.7%)Imbalance
로그인실패횟수 is highly imbalanced (83.6%)Imbalance
입력프로그램 is highly imbalanced (92.6%)Imbalance
수정프로그램 is highly imbalanced (80.6%)Imbalance
가입목적 has 5571 (> 99.9%) missing valuesMissing
모니터요원여부 has 95 (1.7%) missing valuesMissing
회사명 has 5563 (99.8%) missing valuesMissing
생일 has 96 (1.7%) missing valuesMissing
홈페이지 has 5572 (100.0%) missing valuesMissing
국적(과거) has 5572 (100.0%) missing valuesMissing
탈퇴여부 has 5463 (98.0%) missing valuesMissing
탈퇴일시 has 5481 (98.4%) missing valuesMissing
탈퇴사유코드 has 5540 (99.4%) missing valuesMissing
최근로그인날짜 has 86 (1.5%) missing valuesMissing
로그인횟수 has 5242 (94.1%) missing valuesMissing
최근비밀번호변경일시 has 5202 (93.4%) missing valuesMissing
동의여부 has 5515 (99.0%) missing valuesMissing
동의번호 has 5559 (99.8%) missing valuesMissing
서포터즈여부 has 95 (1.7%) missing valuesMissing
수정일 has 4998 (89.7%) missing valuesMissing
홈페이지 is an unsupported type, check if it needs cleaning or further analysisUnsupported
국적(과거) is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-12 18:15:15.290538
Analysis finished2023-12-12 18:15:16.389946
Duration1.1 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

멤버구분코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size43.7 KiB
1
5567 
25:11.8
 
4
49:37.0
 
1

Length

Max length7
Median length1
Mean length1.0053841
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
1 5567
99.9%
25:11.8 4
 
0.1%
49:37.0 1
 
< 0.1%

Length

2023-12-13T03:15:16.461442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:15:16.563221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 5567
99.9%
25:11.8 4
 
0.1%
49:37.0 1
 
< 0.1%

가입목적
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5571
Missing (%)> 99.9%
Memory size43.7 KiB
2023-12-13T03:15:16.675952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters7
Distinct characters7
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row저작권보호활동
ValueCountFrequency (%)
저작권보호활동 1
100.0%
2023-12-13T03:15:16.916242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
Distinct4983
Distinct (%)89.5%
Missing5
Missing (%)0.1%
Memory size43.7 KiB
2023-12-13T03:15:17.226734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters38969
Distinct characters12
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4540 ?
Unique (%)81.6%

Sample

1st row17:30.5
2nd row34:54.3
3rd row07:39.4
4th row50:00.1
5th row13:43.5
ValueCountFrequency (%)
00:00.0 13
 
0.2%
40:24.6 5
 
0.1%
40:30.3 5
 
0.1%
40:27.6 5
 
0.1%
40:29.1 5
 
0.1%
40:23.3 5
 
0.1%
40:29.5 5
 
0.1%
40:29.6 5
 
0.1%
40:30.6 5
 
0.1%
40:25.3 5
 
0.1%
Other values (4973) 5509
99.0%
2023-12-13T03:15:17.668434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
: 5567
14.3%
. 5567
14.3%
4 3733
9.6%
0 3703
9.5%
2 3552
9.1%
5 3459
8.9%
3 3458
8.9%
1 3354
8.6%
8 1664
 
4.3%
9 1660
 
4.3%
Other values (2) 3252
8.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 27835
71.4%
Other Punctuation 11134
 
28.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 3733
13.4%
0 3703
13.3%
2 3552
12.8%
5 3459
12.4%
3 3458
12.4%
1 3354
12.0%
8 1664
6.0%
9 1660
6.0%
7 1650
5.9%
6 1602
5.8%
Other Punctuation
ValueCountFrequency (%)
: 5567
50.0%
. 5567
50.0%

Most occurring scripts

ValueCountFrequency (%)
Common 38969
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
: 5567
14.3%
. 5567
14.3%
4 3733
9.6%
0 3703
9.5%
2 3552
9.1%
5 3459
8.9%
3 3458
8.9%
1 3354
8.6%
8 1664
 
4.3%
9 1660
 
4.3%
Other values (2) 3252
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 38969
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
: 5567
14.3%
. 5567
14.3%
4 3733
9.6%
0 3703
9.5%
2 3552
9.1%
5 3459
8.9%
3 3458
8.9%
1 3354
8.6%
8 1664
 
4.3%
9 1660
 
4.3%
Other values (2) 3252
8.3%

회원상태코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size43.7 KiB
1
5476 
3
 
90
<NA>
 
5
4
 
1

Length

Max length4
Median length1
Mean length1.002692
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
1 5476
98.3%
3 90
 
1.6%
<NA> 5
 
0.1%
4 1
 
< 0.1%

Length

2023-12-13T03:15:17.811597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:15:17.912839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 5476
98.3%
3 90
 
1.6%
na 5
 
0.1%
4 1
 
< 0.1%

일반회원여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing5
Missing (%)0.1%
Memory size11.0 KiB
False
5561 
True
 
6
(Missing)
 
5
ValueCountFrequency (%)
False 5561
99.8%
True 6
 
0.1%
(Missing) 5
 
0.1%
2023-12-13T03:15:18.004382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

문체부여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing5
Missing (%)0.1%
Memory size11.0 KiB
False
5564 
True
 
3
(Missing)
 
5
ValueCountFrequency (%)
False 5564
99.9%
True 3
 
0.1%
(Missing) 5
 
0.1%
2023-12-13T03:15:18.088334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

실무협의체여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing5
Missing (%)0.1%
Memory size11.0 KiB
False
5561 
True
 
6
(Missing)
 
5
ValueCountFrequency (%)
False 5561
99.8%
True 6
 
0.1%
(Missing) 5
 
0.1%
2023-12-13T03:15:18.176289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

모니터요원여부
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)< 0.1%
Missing95
Missing (%)1.7%
Memory size11.0 KiB
False
5167 
True
 
310
(Missing)
 
95
ValueCountFrequency (%)
False 5167
92.7%
True 310
 
5.6%
(Missing) 95
 
1.7%
2023-12-13T03:15:18.265856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

진흥원연계코드
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size43.7 KiB
<NA>
5492 
G
 
36
I
 
30
S
 
13
FK0NiqA+mDX9GEI6TR6L+3WBBmxCmkZ1o36F76NP+MSh9I+0Na1W4FxQcIrM2sTJdw9VHj9zO1MckFCJEbAeyg==
 
1

Length

Max length88
Median length4
Mean length3.9725413
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st rowG
2nd row<NA>
3rd row<NA>
4th rowG
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 5492
98.6%
G 36
 
0.6%
I 30
 
0.5%
S 13
 
0.2%
FK0NiqA+mDX9GEI6TR6L+3WBBmxCmkZ1o36F76NP+MSh9I+0Na1W4FxQcIrM2sTJdw9VHj9zO1MckFCJEbAeyg== 1
 
< 0.1%

Length

2023-12-13T03:15:18.358132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:15:18.467755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5492
98.6%
g 36
 
0.6%
i 30
 
0.5%
s 13
 
0.2%
fk0niqa+mdx9gei6tr6l+3wbbmxcmkz1o36f76np+msh9i+0na1w4fxqcirm2stjdw9vhj9zo1mckfcjebaeyg 1
 
< 0.1%

회원대분류구분코드1
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size43.7 KiB
<NA>
5569 
A
 
3

Length

Max length4
Median length4
Mean length3.9983848
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 5569
99.9%
A 3
 
0.1%

Length

2023-12-13T03:15:18.598760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:15:18.987846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5569
99.9%
a 3
 
0.1%

회원대분류구분코드2
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size43.7 KiB
<NA>
5569 
A
 
3

Length

Max length4
Median length4
Mean length3.9983848
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 5569
99.9%
A 3
 
0.1%

Length

2023-12-13T03:15:19.086105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:15:19.186580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5569
99.9%
a 3
 
0.1%

회사명
Text

MISSING 

Distinct5
Distinct (%)55.6%
Missing5563
Missing (%)99.8%
Memory size43.7 KiB
2023-12-13T03:15:19.354399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length65
Median length65
Mean length39.222222
Min length5

Characters and Unicode

Total characters353
Distinct characters47
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

Unique4 ?
Unique (%)44.4%

Sample

1st row와이엠북스
2nd row쿨사인주식회사
3rd row크리에이티브폼
4th row주식회사 해커프리
5th rowkr.or.copyright.controller.member.JoinController.saveMemberInfo()
ValueCountFrequency (%)
kr.or.copyright.controller.member.joincontroller.savememberinfo 5
50.0%
와이엠북스 1
 
10.0%
쿨사인주식회사 1
 
10.0%
크리에이티브폼 1
 
10.0%
주식회사 1
 
10.0%
해커프리 1
 
10.0%
2023-12-13T03:15:19.699957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
r 45
 
12.7%
o 40
 
11.3%
e 35
 
9.9%
. 30
 
8.5%
n 20
 
5.7%
l 20
 
5.7%
m 15
 
4.2%
t 15
 
4.2%
c 10
 
2.8%
b 10
 
2.8%
Other values (37) 113
32.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 265
75.1%
Other Punctuation 30
 
8.5%
Other Letter 27
 
7.6%
Uppercase Letter 20
 
5.7%
Open Punctuation 5
 
1.4%
Close Punctuation 5
 
1.4%
Space Separator 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
3
 
11.1%
2
 
7.4%
2
 
7.4%
2
 
7.4%
2
 
7.4%
2
 
7.4%
1
 
3.7%
1
 
3.7%
1
 
3.7%
1
 
3.7%
Other values (10) 10
37.0%
Lowercase Letter
ValueCountFrequency (%)
r 45
17.0%
o 40
15.1%
e 35
13.2%
n 20
7.5%
l 20
7.5%
m 15
 
5.7%
t 15
 
5.7%
c 10
 
3.8%
b 10
 
3.8%
i 10
 
3.8%
Other values (9) 45
17.0%
Uppercase Letter
ValueCountFrequency (%)
M 5
25.0%
I 5
25.0%
J 5
25.0%
C 5
25.0%
Other Punctuation
ValueCountFrequency (%)
. 30
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 285
80.7%
Common 41
 
11.6%
Hangul 27
 
7.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
r 45
15.8%
o 40
14.0%
e 35
12.3%
n 20
 
7.0%
l 20
 
7.0%
m 15
 
5.3%
t 15
 
5.3%
c 10
 
3.5%
b 10
 
3.5%
i 10
 
3.5%
Other values (13) 65
22.8%
Hangul
ValueCountFrequency (%)
3
 
11.1%
2
 
7.4%
2
 
7.4%
2
 
7.4%
2
 
7.4%
2
 
7.4%
1
 
3.7%
1
 
3.7%
1
 
3.7%
1
 
3.7%
Other values (10) 10
37.0%
Common
ValueCountFrequency (%)
. 30
73.2%
( 5
 
12.2%
) 5
 
12.2%
1
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 326
92.4%
Hangul 27
 
7.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
r 45
13.8%
o 40
12.3%
e 35
10.7%
. 30
 
9.2%
n 20
 
6.1%
l 20
 
6.1%
m 15
 
4.6%
t 15
 
4.6%
c 10
 
3.1%
b 10
 
3.1%
Other values (17) 86
26.4%
Hangul
ValueCountFrequency (%)
3
 
11.1%
2
 
7.4%
2
 
7.4%
2
 
7.4%
2
 
7.4%
2
 
7.4%
1
 
3.7%
1
 
3.7%
1
 
3.7%
1
 
3.7%
Other values (10) 10
37.0%

성별
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size43.7 KiB
M
3025 
W
2452 
<NA>
 
95

Length

Max length4
Median length1
Mean length1.0511486
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowM
2nd rowW
3rd rowM
4th rowM
5th rowM

Common Values

ValueCountFrequency (%)
M 3025
54.3%
W 2452
44.0%
<NA> 95
 
1.7%

Length

2023-12-13T03:15:19.864049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:15:19.967503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
m 3025
54.3%
w 2452
44.0%
na 95
 
1.7%

생일
Date

MISSING 

Distinct4367
Distinct (%)79.7%
Missing96
Missing (%)1.7%
Memory size43.7 KiB
Minimum1933-04-07 00:00:00
Maximum2008-10-31 00:00:00
2023-12-13T03:15:20.081756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:15:20.224388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5572
Missing (%)100.0%
Memory size49.1 KiB

뉴스레터수신여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing5
Missing (%)0.1%
Memory size11.0 KiB
False
5089 
True
 
478
(Missing)
 
5
ValueCountFrequency (%)
False 5089
91.3%
True 478
 
8.6%
(Missing) 5
 
0.1%
2023-12-13T03:15:20.343417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing5
Missing (%)0.1%
Memory size11.0 KiB
True
4702 
False
865 
(Missing)
 
5
ValueCountFrequency (%)
True 4702
84.4%
False 865
 
15.5%
(Missing) 5
 
0.1%
2023-12-13T03:15:20.434802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing5
Missing (%)0.1%
Memory size11.0 KiB
True
4880 
False
687 
(Missing)
 
5
ValueCountFrequency (%)
True 4880
87.6%
False 687
 
12.3%
(Missing) 5
 
0.1%
2023-12-13T03:15:20.525890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

비고
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size43.7 KiB
<NA>
5541 
ASP_ID:2011AASP0000002
 
15
MBRGRADE:CP220010
 
8
MBRGRADE:CP220020
 
6
ASP_ID:2012AASP0000001
 
1

Length

Max length22
Median length4
Mean length4.0875808
Min length4

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 5541
99.4%
ASP_ID:2011AASP0000002 15
 
0.3%
MBRGRADE:CP220010 8
 
0.1%
MBRGRADE:CP220020 6
 
0.1%
ASP_ID:2012AASP0000001 1
 
< 0.1%
ASP_ID:2013AASP0000001 1
 
< 0.1%

Length

2023-12-13T03:15:20.639612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:15:20.747046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5541
99.4%
asp_id:2011aasp0000002 15
 
0.3%
mbrgrade:cp220010 8
 
0.1%
mbrgrade:cp220020 6
 
0.1%
asp_id:2012aasp0000001 1
 
< 0.1%
asp_id:2013aasp0000001 1
 
< 0.1%

국적(과거)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5572
Missing (%)100.0%
Memory size49.1 KiB

탈퇴여부
Boolean

MISSING 

Distinct2
Distinct (%)1.8%
Missing5463
Missing (%)98.0%
Memory size11.0 KiB
True
 
92
False
 
17
(Missing)
5463 
ValueCountFrequency (%)
True 92
 
1.7%
False 17
 
0.3%
(Missing) 5463
98.0%
2023-12-13T03:15:20.841555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

탈퇴일시
Text

MISSING 

Distinct91
Distinct (%)100.0%
Missing5481
Missing (%)98.4%
Memory size43.7 KiB
2023-12-13T03:15:21.115332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters637
Distinct characters12
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique91 ?
Unique (%)100.0%

Sample

1st row16:42.7
2nd row34:42.9
3rd row08:12.6
4th row46:49.6
5th row53:51.1
ValueCountFrequency (%)
49:03.4 1
 
1.1%
24:14.0 1
 
1.1%
10:48.2 1
 
1.1%
37:21.9 1
 
1.1%
02:41.0 1
 
1.1%
19:14.1 1
 
1.1%
00:21.7 1
 
1.1%
53:33.0 1
 
1.1%
49:48.6 1
 
1.1%
59:18.9 1
 
1.1%
Other values (81) 81
89.0%
2023-12-13T03:15:21.563909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
: 91
14.3%
. 91
14.3%
4 68
10.7%
1 68
10.7%
0 57
8.9%
3 53
8.3%
2 49
7.7%
5 42
6.6%
9 38
6.0%
6 29
 
4.6%
Other values (2) 51
8.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 455
71.4%
Other Punctuation 182
 
28.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 68
14.9%
1 68
14.9%
0 57
12.5%
3 53
11.6%
2 49
10.8%
5 42
9.2%
9 38
8.4%
6 29
6.4%
7 26
 
5.7%
8 25
 
5.5%
Other Punctuation
ValueCountFrequency (%)
: 91
50.0%
. 91
50.0%

Most occurring scripts

ValueCountFrequency (%)
Common 637
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
: 91
14.3%
. 91
14.3%
4 68
10.7%
1 68
10.7%
0 57
8.9%
3 53
8.3%
2 49
7.7%
5 42
6.6%
9 38
6.0%
6 29
 
4.6%
Other values (2) 51
8.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 637
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
: 91
14.3%
. 91
14.3%
4 68
10.7%
1 68
10.7%
0 57
8.9%
3 53
8.3%
2 49
7.7%
5 42
6.6%
9 38
6.0%
6 29
 
4.6%
Other values (2) 51
8.0%

탈퇴사유코드
Text

MISSING 

Distinct31
Distinct (%)96.9%
Missing5540
Missing (%)99.4%
Memory size43.7 KiB
2023-12-13T03:15:21.864398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length19.5
Mean length13.0625
Min length1

Characters and Unicode

Total characters418
Distinct characters142
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)93.8%

Sample

1st row불법 소프트웨어 검사를 위한 프로그램을 구하려 하였지만
2nd row탈퇴
3rd row12351235
4th row저작권자 로 다시 회원가입합니다
5th row1
ValueCountFrequency (%)
3
 
3.2%
권리자로 2
 
2.1%
위해 2
 
2.1%
저작권 2
 
2.1%
구하려 1
 
1.1%
제대로 1
 
1.1%
까다로워서 1
 
1.1%
변경이 1
 
1.1%
개인정보 1
 
1.1%
답변 1
 
1.1%
Other values (79) 79
84.0%
2023-12-13T03:15:22.341079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
63
 
15.1%
. 26
 
6.2%
12
 
2.9%
11
 
2.6%
11
 
2.6%
9
 
2.2%
8
 
1.9%
8
 
1.9%
7
 
1.7%
7
 
1.7%
Other values (132) 256
61.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 294
70.3%
Space Separator 63
 
15.1%
Other Punctuation 27
 
6.5%
Lowercase Letter 20
 
4.8%
Decimal Number 14
 
3.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
12
 
4.1%
11
 
3.7%
11
 
3.7%
9
 
3.1%
8
 
2.7%
8
 
2.7%
7
 
2.4%
7
 
2.4%
6
 
2.0%
6
 
2.0%
Other values (113) 209
71.1%
Lowercase Letter
ValueCountFrequency (%)
t 4
20.0%
n 3
15.0%
d 3
15.0%
s 2
10.0%
a 2
10.0%
e 2
10.0%
c 1
 
5.0%
h 1
 
5.0%
i 1
 
5.0%
r 1
 
5.0%
Decimal Number
ValueCountFrequency (%)
5 4
28.6%
1 3
21.4%
2 2
14.3%
6 2
14.3%
3 2
14.3%
9 1
 
7.1%
Other Punctuation
ValueCountFrequency (%)
. 26
96.3%
? 1
 
3.7%
Space Separator
ValueCountFrequency (%)
63
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 294
70.3%
Common 104
 
24.9%
Latin 20
 
4.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
12
 
4.1%
11
 
3.7%
11
 
3.7%
9
 
3.1%
8
 
2.7%
8
 
2.7%
7
 
2.4%
7
 
2.4%
6
 
2.0%
6
 
2.0%
Other values (113) 209
71.1%
Latin
ValueCountFrequency (%)
t 4
20.0%
n 3
15.0%
d 3
15.0%
s 2
10.0%
a 2
10.0%
e 2
10.0%
c 1
 
5.0%
h 1
 
5.0%
i 1
 
5.0%
r 1
 
5.0%
Common
ValueCountFrequency (%)
63
60.6%
. 26
25.0%
5 4
 
3.8%
1 3
 
2.9%
2 2
 
1.9%
6 2
 
1.9%
3 2
 
1.9%
9 1
 
1.0%
? 1
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 294
70.3%
ASCII 124
29.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
63
50.8%
. 26
21.0%
t 4
 
3.2%
5 4
 
3.2%
1 3
 
2.4%
n 3
 
2.4%
d 3
 
2.4%
2 2
 
1.6%
6 2
 
1.6%
3 2
 
1.6%
Other values (9) 12
 
9.7%
Hangul
ValueCountFrequency (%)
12
 
4.1%
11
 
3.7%
11
 
3.7%
9
 
3.1%
8
 
2.7%
8
 
2.7%
7
 
2.4%
7
 
2.4%
6
 
2.0%
6
 
2.0%
Other values (113) 209
71.1%

최근로그인날짜
Text

MISSING 

Distinct592
Distinct (%)10.8%
Missing86
Missing (%)1.5%
Memory size43.7 KiB
2023-12-13T03:15:22.713480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters38402
Distinct characters12
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique535 ?
Unique (%)9.8%

Sample

1st row25:11.8
2nd row25:11.8
3rd row25:11.8
4th row25:11.8
5th row25:11.8
ValueCountFrequency (%)
25:11.8 4830
88.0%
46:27.6 6
 
0.1%
47:53.0 4
 
0.1%
16:41.0 3
 
0.1%
06:29.0 3
 
0.1%
01:58.0 3
 
0.1%
44:38.0 2
 
< 0.1%
46:09.0 2
 
< 0.1%
08:37.0 2
 
< 0.1%
48:49.0 2
 
< 0.1%
Other values (582) 629
 
11.5%
2023-12-13T03:15:23.246410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 9999
26.0%
: 5486
14.3%
. 5486
14.3%
5 5182
13.5%
2 5174
13.5%
8 4960
12.9%
0 988
 
2.6%
3 367
 
1.0%
4 346
 
0.9%
6 148
 
0.4%
Other values (2) 266
 
0.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 27430
71.4%
Other Punctuation 10972
 
28.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 9999
36.5%
5 5182
18.9%
2 5174
18.9%
8 4960
18.1%
0 988
 
3.6%
3 367
 
1.3%
4 346
 
1.3%
6 148
 
0.5%
7 136
 
0.5%
9 130
 
0.5%
Other Punctuation
ValueCountFrequency (%)
: 5486
50.0%
. 5486
50.0%

Most occurring scripts

ValueCountFrequency (%)
Common 38402
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 9999
26.0%
: 5486
14.3%
. 5486
14.3%
5 5182
13.5%
2 5174
13.5%
8 4960
12.9%
0 988
 
2.6%
3 367
 
1.0%
4 346
 
0.9%
6 148
 
0.4%
Other values (2) 266
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 38402
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 9999
26.0%
: 5486
14.3%
. 5486
14.3%
5 5182
13.5%
2 5174
13.5%
8 4960
12.9%
0 988
 
2.6%
3 367
 
1.0%
4 346
 
0.9%
6 148
 
0.4%
Other values (2) 266
 
0.7%

로그인횟수
Text

MISSING 

Distinct58
Distinct (%)17.6%
Missing5242
Missing (%)94.1%
Memory size43.7 KiB
2023-12-13T03:15:23.494404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length1
Mean length1.369697
Min length1

Characters and Unicode

Total characters452
Distinct characters12
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)8.8%

Sample

1st row54
2nd row4
3rd row4
4th row2
5th row2
ValueCountFrequency (%)
2 79
23.9%
3 49
14.8%
4 28
 
8.5%
5 25
 
7.6%
7 13
 
3.9%
9 12
 
3.6%
6 11
 
3.3%
10 11
 
3.3%
8 10
 
3.0%
11 7
 
2.1%
Other values (48) 85
25.8%
2023-12-13T03:15:23.906476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 112
24.8%
3 71
15.7%
1 71
15.7%
4 50
11.1%
5 36
 
8.0%
9 26
 
5.8%
6 23
 
5.1%
7 22
 
4.9%
8 20
 
4.4%
0 19
 
4.2%
Other values (2) 2
 
0.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 450
99.6%
Other Punctuation 2
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 112
24.9%
3 71
15.8%
1 71
15.8%
4 50
11.1%
5 36
 
8.0%
9 26
 
5.8%
6 23
 
5.1%
7 22
 
4.9%
8 20
 
4.4%
0 19
 
4.2%
Other Punctuation
ValueCountFrequency (%)
: 1
50.0%
. 1
50.0%

Most occurring scripts

ValueCountFrequency (%)
Common 452
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 112
24.8%
3 71
15.7%
1 71
15.7%
4 50
11.1%
5 36
 
8.0%
9 26
 
5.8%
6 23
 
5.1%
7 22
 
4.9%
8 20
 
4.4%
0 19
 
4.2%
Other values (2) 2
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 452
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 112
24.8%
3 71
15.7%
1 71
15.7%
4 50
11.1%
5 36
 
8.0%
9 26
 
5.8%
6 23
 
5.1%
7 22
 
4.9%
8 20
 
4.4%
0 19
 
4.2%
Other values (2) 2
 
0.4%

로그인실패횟수
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size43.7 KiB
<NA>
5243 
0
 
327
4
 
1
5
 
1

Length

Max length4
Median length4
Mean length3.8228643
Min length1

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 5243
94.1%
0 327
 
5.9%
4 1
 
< 0.1%
5 1
 
< 0.1%

Length

2023-12-13T03:15:24.073211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:15:24.202625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5243
94.1%
0 327
 
5.9%
4 1
 
< 0.1%
5 1
 
< 0.1%
Distinct368
Distinct (%)99.5%
Missing5202
Missing (%)93.4%
Memory size43.7 KiB
2023-12-13T03:15:24.574428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters2590
Distinct characters12
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique366 ?
Unique (%)98.9%

Sample

1st row37:23.1
2nd row02:55.7
3rd row51:57.8
4th row54:32.2
5th row26:18.3
ValueCountFrequency (%)
32:26.4 2
 
0.5%
17:57.3 2
 
0.5%
00:33.6 1
 
0.3%
41:35.5 1
 
0.3%
42:59.6 1
 
0.3%
19:21.4 1
 
0.3%
33:26.7 1
 
0.3%
33:19.3 1
 
0.3%
15:30.3 1
 
0.3%
39:44.4 1
 
0.3%
Other values (358) 358
96.8%
2023-12-13T03:15:25.167881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
: 370
14.3%
. 370
14.3%
5 250
9.7%
2 240
9.3%
4 238
9.2%
3 237
9.2%
1 231
8.9%
0 215
8.3%
6 121
 
4.7%
8 112
 
4.3%
Other values (2) 206
8.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1850
71.4%
Other Punctuation 740
 
28.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 250
13.5%
2 240
13.0%
4 238
12.9%
3 237
12.8%
1 231
12.5%
0 215
11.6%
6 121
6.5%
8 112
6.1%
7 105
5.7%
9 101
5.5%
Other Punctuation
ValueCountFrequency (%)
: 370
50.0%
. 370
50.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2590
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
: 370
14.3%
. 370
14.3%
5 250
9.7%
2 240
9.3%
4 238
9.2%
3 237
9.2%
1 231
8.9%
0 215
8.3%
6 121
 
4.7%
8 112
 
4.3%
Other values (2) 206
8.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2590
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
: 370
14.3%
. 370
14.3%
5 250
9.7%
2 240
9.3%
4 238
9.2%
3 237
9.2%
1 231
8.9%
0 215
8.3%
6 121
 
4.7%
8 112
 
4.3%
Other values (2) 206
8.0%

동의여부
Boolean

MISSING 

Distinct2
Distinct (%)3.5%
Missing5515
Missing (%)99.0%
Memory size11.0 KiB
False
 
44
True
 
13
(Missing)
5515 
ValueCountFrequency (%)
False 44
 
0.8%
True 13
 
0.2%
(Missing) 5515
99.0%
2023-12-13T03:15:25.323610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

동의번호
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)100.0%
Missing5559
Missing (%)99.8%
Infinite0
Infinite (%)0.0%
Mean44.384615
Minimum1
Maximum314
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size49.1 KiB
2023-12-13T03:15:25.449763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.8
Q16
median9
Q323
95-th percentile217.4
Maximum314
Range313
Interquartile range (IQR)17

Descriptive statistics

Standard deviation90.386705
Coefficient of variation (CV)2.0364422
Kurtosis7.3148796
Mean44.384615
Median Absolute Deviation (MAD)4
Skewness2.7182071
Sum577
Variance8169.7564
MonotonicityNot monotonic
2023-12-13T03:15:25.597851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
314 1
 
< 0.1%
153 1
 
< 0.1%
1 1
 
< 0.1%
4 1
 
< 0.1%
5 1
 
< 0.1%
6 1
 
< 0.1%
7 1
 
< 0.1%
8 1
 
< 0.1%
9 1
 
< 0.1%
11 1
 
< 0.1%
Other values (3) 3
 
0.1%
(Missing) 5559
99.8%
ValueCountFrequency (%)
1 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
11 1
< 0.1%
12 1
< 0.1%
23 1
< 0.1%
ValueCountFrequency (%)
314 1
< 0.1%
153 1
< 0.1%
24 1
< 0.1%
23 1
< 0.1%
12 1
< 0.1%
11 1
< 0.1%
9 1
< 0.1%
8 1
< 0.1%
7 1
< 0.1%
6 1
< 0.1%

서포터즈여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)< 0.1%
Missing95
Missing (%)1.7%
Memory size11.0 KiB
False
5477 
(Missing)
 
95
ValueCountFrequency (%)
False 5477
98.3%
(Missing) 95
 
1.7%
2023-12-13T03:15:25.749347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

입력프로그램
Categorical

IMBALANCE 

Distinct34
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size43.7 KiB
kr.or.copyright.controller.member.JoinController.saveMemberInfo()
5263 
<NA>
 
265
cpis.controller.member.MemberJoinController /joinStep04.do
 
13
mig_academy@tmis_member_info@2011MEMB0000067
 
1
mig_academy@tmis_member_info@2012MEMB0004251
 
1
Other values (29)
 
29

Length

Max length65
Median length65
Mean length61.932699
Min length4

Unique

Unique31 ?
Unique (%)0.6%

Sample

1st rowkr.or.copyright.controller.member.JoinController.saveMemberInfo()
2nd rowkr.or.copyright.controller.member.JoinController.saveMemberInfo()
3rd rowkr.or.copyright.controller.member.JoinController.saveMemberInfo()
4th rowkr.or.copyright.controller.member.JoinController.saveMemberInfo()
5th rowkr.or.copyright.controller.member.JoinController.saveMemberInfo()

Common Values

ValueCountFrequency (%)
kr.or.copyright.controller.member.JoinController.saveMemberInfo() 5263
94.5%
<NA> 265
 
4.8%
cpis.controller.member.MemberJoinController /joinStep04.do 13
 
0.2%
mig_academy@tmis_member_info@2011MEMB0000067 1
 
< 0.1%
mig_academy@tmis_member_info@2012MEMB0004251 1
 
< 0.1%
mig_academy@tmis_member_info@2012MEMB0006797 1
 
< 0.1%
mig_academy@tmis_member_info@2014MEMB0002762 1
 
< 0.1%
mig_academy@tmis_member_info@2014MEMB0000055 1
 
< 0.1%
mig_academy@tmis_member_info@2012MEMB0007031 1
 
< 0.1%
mig_academy@tmis_member_info@2014MEMB0006553 1
 
< 0.1%
Other values (24) 24
 
0.4%

Length

2023-12-13T03:15:25.887924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
kr.or.copyright.controller.member.joincontroller.savememberinfo 5263
94.2%
na 265
 
4.7%
cpis.controller.member.memberjoincontroller 13
 
0.2%
joinstep04.do 13
 
0.2%
mig@copy112@hrs_kcp_mb@yseraph 1
 
< 0.1%
mig_academy@tmis_member_info@2014memb0002633 1
 
< 0.1%
mig@copy112@hrs_kcp_mb@onthisgood 1
 
< 0.1%
mig@copy112@hrs_kcp_mb@kclee99 1
 
< 0.1%
mig@copy112@hrs_kcp_mb@bellray 1
 
< 0.1%
mig@copy112@hrs_kcp_mb@jcmans 1
 
< 0.1%
Other values (25) 25
 
0.4%
Distinct4991
Distinct (%)89.8%
Missing11
Missing (%)0.2%
Memory size43.7 KiB
2023-12-13T03:15:26.301187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length6.9992807
Min length3

Characters and Unicode

Total characters38923
Distinct characters15
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4551 ?
Unique (%)81.8%

Sample

1st row17:30.5
2nd row34:54.3
3rd row07:39.4
4th row50:00.1
5th row13:43.5
ValueCountFrequency (%)
40:28.7 5
 
0.1%
40:29.1 5
 
0.1%
40:25.4 5
 
0.1%
40:29.5 5
 
0.1%
40:30.5 5
 
0.1%
40:30.3 5
 
0.1%
40:29.6 5
 
0.1%
40:30.6 5
 
0.1%
40:23.3 5
 
0.1%
40:24.6 5
 
0.1%
Other values (4981) 5511
99.1%
2023-12-13T03:15:26.843317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
: 5560
14.3%
. 5560
14.3%
4 3735
9.6%
0 3642
9.4%
2 3560
9.1%
5 3463
8.9%
3 3460
8.9%
1 3355
8.6%
8 1666
 
4.3%
9 1664
 
4.3%
Other values (5) 3258
8.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 27800
71.4%
Other Punctuation 11120
 
28.6%
Other Letter 3
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 3735
13.4%
0 3642
13.1%
2 3560
12.8%
5 3463
12.5%
3 3460
12.4%
1 3355
12.1%
8 1666
6.0%
9 1664
6.0%
7 1651
5.9%
6 1604
5.8%
Other Letter
ValueCountFrequency (%)
1
33.3%
1
33.3%
1
33.3%
Other Punctuation
ValueCountFrequency (%)
: 5560
50.0%
. 5560
50.0%

Most occurring scripts

ValueCountFrequency (%)
Common 38920
> 99.9%
Hangul 3
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
: 5560
14.3%
. 5560
14.3%
4 3735
9.6%
0 3642
9.4%
2 3560
9.1%
5 3463
8.9%
3 3460
8.9%
1 3355
8.6%
8 1666
 
4.3%
9 1664
 
4.3%
Other values (2) 3255
8.4%
Hangul
ValueCountFrequency (%)
1
33.3%
1
33.3%
1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 38920
> 99.9%
Hangul 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
: 5560
14.3%
. 5560
14.3%
4 3735
9.6%
0 3642
9.4%
2 3560
9.1%
5 3463
8.9%
3 3460
8.9%
1 3355
8.6%
8 1666
 
4.3%
9 1664
 
4.3%
Other values (2) 3255
8.4%
Hangul
ValueCountFrequency (%)
1
33.3%
1
33.3%
1
33.3%

수정프로그램
Categorical

IMBALANCE 

Distinct11
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size43.7 KiB
<NA>
4997 
kr.or.copyright.controller.member.FindPasswordController.saveChangeForgotPassword()
 
271
kr.or.copyright.controller.member.ModifyMemberInformation.modifyMemberInfo()
 
185
kr.or.copyright.controller.member.ChangePasswordController.saveChangePassword()
 
59
kr.or.copyright.controller.member.AdditionalInformationController.saveAcademyMemberInfo()
 
45
Other values (6)
 
15

Length

Max length97
Median length4
Mean length11.905599
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st rowkr.or.copyright.controller.member.ModifyMemberInformation.modifyMemberInfo()
2nd row<NA>
3rd rowkr.or.copyright.controller.member.FindPasswordController.saveChangeForgotPassword()
4th rowkr.or.copyright.controller.member.FindPasswordController.saveChangeForgotPassword()
5th rowkr.or.copyright.controller.member.FindPasswordController.saveChangeForgotPassword()

Common Values

ValueCountFrequency (%)
<NA> 4997
89.7%
kr.or.copyright.controller.member.FindPasswordController.saveChangeForgotPassword() 271
 
4.9%
kr.or.copyright.controller.member.ModifyMemberInformation.modifyMemberInfo() 185
 
3.3%
kr.or.copyright.controller.member.ChangePasswordController.saveChangePassword() 59
 
1.1%
kr.or.copyright.controller.member.AdditionalInformationController.saveAcademyMemberInfo() 45
 
0.8%
kr.or.copyright.controller.member.AdditionalInformationController.saveTmisMemberinfo() 3
 
0.1%
cpis.controller.mypage.MypageModifyController /modifyAction.do 3
 
0.1%
class kr.or.copyright.controller.member.AdditionalInformationController.saveAdrMemberInfo() 3
 
0.1%
class cpis.controller.member.MemberLoginController.loginCertification() 3
 
0.1%
kr.or.copyright.controller.member.ModifyAdditionalInformationController.modifyAcademyMemberinfo() 2
 
< 0.1%

Length

2023-12-13T03:15:27.009002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 4997
89.5%
kr.or.copyright.controller.member.findpasswordcontroller.savechangeforgotpassword 271
 
4.9%
kr.or.copyright.controller.member.modifymemberinformation.modifymemberinfo 185
 
3.3%
kr.or.copyright.controller.member.changepasswordcontroller.savechangepassword 59
 
1.1%
kr.or.copyright.controller.member.additionalinformationcontroller.saveacademymemberinfo 45
 
0.8%
class 6
 
0.1%
kr.or.copyright.controller.member.additionalinformationcontroller.savetmismemberinfo 3
 
0.1%
cpis.controller.mypage.mypagemodifycontroller 3
 
0.1%
modifyaction.do 3
 
0.1%
kr.or.copyright.controller.member.additionalinformationcontroller.saveadrmemberinfo 3
 
0.1%
Other values (3) 6
 
0.1%

수정일
Text

MISSING 

Distinct569
Distinct (%)99.1%
Missing4998
Missing (%)89.7%
Memory size43.7 KiB
2023-12-13T03:15:27.361878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters4018
Distinct characters12
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique564 ?
Unique (%)98.3%

Sample

1st row10:42.3
2nd row37:23.1
3rd row02:55.7
4th row51:57.8
5th row36:30.5
ValueCountFrequency (%)
17:57.3 2
 
0.3%
32:26.4 2
 
0.3%
26:09.3 2
 
0.3%
31:03.9 2
 
0.3%
49:56.5 2
 
0.3%
43:44.6 1
 
0.2%
41:35.5 1
 
0.2%
02:02.3 1
 
0.2%
15:30.3 1
 
0.2%
39:44.4 1
 
0.2%
Other values (559) 559
97.4%
2023-12-13T03:15:27.860199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
: 574
14.3%
. 574
14.3%
1 394
9.8%
5 383
9.5%
2 365
9.1%
3 357
8.9%
4 345
8.6%
0 338
8.4%
8 190
 
4.7%
6 171
 
4.3%
Other values (2) 327
8.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2870
71.4%
Other Punctuation 1148
 
28.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 394
13.7%
5 383
13.3%
2 365
12.7%
3 357
12.4%
4 345
12.0%
0 338
11.8%
8 190
6.6%
6 171
6.0%
7 164
5.7%
9 163
5.7%
Other Punctuation
ValueCountFrequency (%)
: 574
50.0%
. 574
50.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4018
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
: 574
14.3%
. 574
14.3%
1 394
9.8%
5 383
9.5%
2 365
9.1%
3 357
8.9%
4 345
8.6%
0 338
8.4%
8 190
 
4.7%
6 171
 
4.3%
Other values (2) 327
8.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4018
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
: 574
14.3%
. 574
14.3%
1 394
9.8%
5 383
9.5%
2 365
9.1%
3 357
8.9%
4 345
8.6%
0 338
8.4%
8 190
 
4.7%
6 171
 
4.3%
Other values (2) 327
8.1%
Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size43.7 KiB
1
3632 
<NA>
1170 
5
710 
4
 
53
3
 
6

Length

Max length4
Median length1
Mean length1.6299354
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
1 3632
65.2%
<NA> 1170
 
21.0%
5 710
 
12.7%
4 53
 
1.0%
3 6
 
0.1%
2 1
 
< 0.1%

Length

2023-12-13T03:15:28.010367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:15:28.125255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 3632
65.2%
na 1170
 
21.0%
5 710
 
12.7%
4 53
 
1.0%
3 6
 
0.1%
2 1
 
< 0.1%

Sample

멤버구분코드가입목적가입일시회원상태코드일반회원여부문체부여부실무협의체여부모니터요원여부진흥원연계코드회원대분류구분코드1회원대분류구분코드2회사명성별생일홈페이지뉴스레터수신여부SMS수신여부이메일수신여부비고국적(과거)탈퇴여부탈퇴일시탈퇴사유코드최근로그인날짜로그인횟수로그인실패횟수최근비밀번호변경일시동의여부동의번호서포터즈여부입력프로그램등록일수정프로그램수정일홈페이지회원구분
01<NA>17:30.51NNNNG<NA><NA><NA>M1985-01-02<NA>YYY<NA><NA><NA><NA><NA>25:11.8540<NA><NA><NA>Nkr.or.copyright.controller.member.JoinController.saveMemberInfo()17:30.5kr.or.copyright.controller.member.ModifyMemberInformation.modifyMemberInfo()10:42.3<NA>
11<NA>34:54.31NNNN<NA><NA><NA><NA>W1968-06-28<NA>NNY<NA><NA><NA><NA><NA>25:11.840<NA><NA><NA>Nkr.or.copyright.controller.member.JoinController.saveMemberInfo()34:54.3<NA><NA><NA>
21<NA>07:39.41NNNN<NA><NA><NA><NA>M1974-11-12<NA>YYY<NA><NA><NA><NA><NA>25:11.84037:23.1<NA><NA>Nkr.or.copyright.controller.member.JoinController.saveMemberInfo()07:39.4kr.or.copyright.controller.member.FindPasswordController.saveChangeForgotPassword()37:23.1<NA>
31<NA>50:00.11NNNNG<NA><NA><NA>M1980-04-04<NA>NNY<NA><NA><NA><NA><NA>25:11.82002:55.7<NA><NA>Nkr.or.copyright.controller.member.JoinController.saveMemberInfo()50:00.1kr.or.copyright.controller.member.FindPasswordController.saveChangeForgotPassword()02:55.7<NA>
41<NA>13:43.51NNNN<NA><NA><NA><NA>M1978-12-06<NA>NNY<NA><NA><NA><NA><NA>25:11.82051:57.8<NA><NA>Nkr.or.copyright.controller.member.JoinController.saveMemberInfo()13:43.5kr.or.copyright.controller.member.FindPasswordController.saveChangeForgotPassword()51:57.8<NA>
51<NA>25:40.31NNNN<NA><NA><NA><NA>W1967-09-28<NA>NYY<NA><NA><NA><NA><NA>25:11.830<NA><NA><NA>Nkr.or.copyright.controller.member.JoinController.saveMemberInfo()25:40.3kr.or.copyright.controller.member.ModifyMemberInformation.modifyMemberInfo()36:30.5<NA>
61<NA>03:38.01NNNN<NA><NA><NA><NA>W1983-02-22<NA>NYY<NA><NA><NA><NA><NA>25:11.8140<NA><NA><NA>Nkr.or.copyright.controller.member.JoinController.saveMemberInfo()03:38.0<NA><NA><NA>
71<NA>41:12.51NNNNG<NA><NA><NA>M1976-06-08<NA>NYY<NA><NA><NA><NA><NA>25:11.818054:32.2<NA><NA>Nkr.or.copyright.controller.member.JoinController.saveMemberInfo()41:12.5kr.or.copyright.controller.member.AdditionalInformationController.saveAcademyMemberInfo()11:28.3<NA>
81<NA>41:15.01NNNN<NA><NA><NA><NA>W1983-02-07<NA>YNY<NA><NA><NA><NA><NA>25:11.860<NA><NA><NA>Nkr.or.copyright.controller.member.JoinController.saveMemberInfo()41:15.0<NA><NA><NA>
91<NA>38:01.81NNNN<NA><NA><NA><NA>M1977-11-05<NA>NNY<NA><NA><NA><NA><NA>25:11.820<NA><NA><NA>Nkr.or.copyright.controller.member.JoinController.saveMemberInfo()38:01.8<NA><NA><NA>
멤버구분코드가입목적가입일시회원상태코드일반회원여부문체부여부실무협의체여부모니터요원여부진흥원연계코드회원대분류구분코드1회원대분류구분코드2회사명성별생일홈페이지뉴스레터수신여부SMS수신여부이메일수신여부비고국적(과거)탈퇴여부탈퇴일시탈퇴사유코드최근로그인날짜로그인횟수로그인실패횟수최근비밀번호변경일시동의여부동의번호서포터즈여부입력프로그램등록일수정프로그램수정일홈페이지회원구분
55621<NA>05:31.93NNN<NA><NA><NA><NA><NA><NA><NA><NA>NNN<NA><NA>Y08:49.4test 계정입니다.06:29.0<NA><NA><NA><NA><NA><NA>kr.or.copyright.controller.member.JoinController.saveMemberInfo()05:31.9<NA><NA>1
55631<NA>24:02.11NNNN<NA><NA><NA><NA>W1987-12-22<NA>NYY<NA><NA><NA><NA><NA>24:02.0<NA><NA><NA><NA><NA>Nkr.or.copyright.controller.member.JoinController.saveMemberInfo()24:02.1<NA><NA>1
55641<NA>11:30.81NNNN<NA><NA><NA><NA>W1989-09-10<NA>NYY<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>Nkr.or.copyright.controller.member.JoinController.saveMemberInfo()11:30.8<NA><NA>1
55651<NA>11:31.31NNNN<NA><NA><NA><NA>W1989-09-10<NA>NYY<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>Nkr.or.copyright.controller.member.JoinController.saveMemberInfo()11:31.3<NA><NA>1
55661<NA>11:33.31NNNN<NA><NA><NA><NA>W1989-09-10<NA>NYY<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>Nkr.or.copyright.controller.member.JoinController.saveMemberInfo()11:33.3<NA><NA>1
55671<NA>11:34.11NNNN<NA><NA><NA><NA>W1989-09-10<NA>NYY<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>Nkr.or.copyright.controller.member.JoinController.saveMemberInfo()11:34.1<NA><NA>1
55681<NA>11:34.31NNNN<NA><NA><NA><NA>W1989-09-10<NA>NYY<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>Nkr.or.copyright.controller.member.JoinController.saveMemberInfo()11:34.3<NA><NA>1
55691<NA>11:34.41NNNN<NA><NA><NA><NA>W1989-09-10<NA>NYY<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>Nkr.or.copyright.controller.member.JoinController.saveMemberInfo()11:34.4<NA><NA>1
55701<NA>11:34.61NNNN<NA><NA><NA><NA>W1989-09-10<NA>NYY<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>Nkr.or.copyright.controller.member.JoinController.saveMemberInfo()11:34.6<NA><NA>1
55711<NA>11:34.81NNNN<NA><NA><NA><NA>W1989-09-10<NA>NYY<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>Nkr.or.copyright.controller.member.JoinController.saveMemberInfo()11:34.8<NA><NA>1

Duplicate rows

Most frequently occurring

멤버구분코드가입목적가입일시회원상태코드일반회원여부문체부여부실무협의체여부모니터요원여부진흥원연계코드회원대분류구분코드1회원대분류구분코드2회사명성별생일뉴스레터수신여부SMS수신여부이메일수신여부비고탈퇴여부탈퇴일시탈퇴사유코드최근로그인날짜로그인횟수로그인실패횟수최근비밀번호변경일시동의여부동의번호서포터즈여부입력프로그램등록일수정프로그램수정일홈페이지회원구분# duplicates
225:11.8<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>kr.or.copyright.controller.member.JoinController.saveMemberInfo()<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>3
01<NA>40:28.61NNNY<NA><NA><NA><NA>W1979-02-10YYY<NA><NA><NA><NA>25:11.8<NA><NA><NA><NA><NA>N<NA>40:28.6<NA><NA><NA>2
11<NA>40:28.71NNNY<NA><NA><NA><NA>W1975-04-02YYY<NA><NA><NA><NA>25:11.8<NA><NA><NA><NA><NA>N<NA>40:28.7<NA><NA><NA>2