Overview

Dataset statistics

Number of variables9
Number of observations2550
Missing cells1736
Missing cells (%)7.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory181.9 KiB
Average record size in memory73.1 B

Variable types

Text5
Boolean1
Numeric1
DateTime2

Dataset

Description한국콘텐츠진흥원의 콘텐츠산업정보포털에서의 공통 상세코드를 나타내는 정보를 담은 데이터 자료로 제공하고 있습니다.
URLhttps://www.data.go.kr/data/15041613/fileData.do

Alerts

최초등록일시 has 139 (5.5%) missing valuesMissing
마지막수정일시 has 1596 (62.6%) missing valuesMissing
정렬순서 is highly skewed (γ1 = 45.10323182)Skewed
정렬순서 has 1248 (48.9%) zerosZeros

Reproduction

Analysis started2023-12-12 19:54:29.415050
Analysis finished2023-12-12 19:54:30.725295
Duration1.31 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

코드
Text

Distinct1181
Distinct (%)46.3%
Missing1
Missing (%)< 0.1%
Memory size20.1 KiB
2023-12-13T04:54:31.040015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length7
Mean length2.3672028
Min length1

Characters and Unicode

Total characters6034
Distinct characters78
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique958 ?
Unique (%)37.6%

Sample

1st rowREGC01
2nd rowREGC02
3rd rowREGC03
4th rowREGC04
5th rowREGC05
ValueCountFrequency (%)
1 186
 
7.3%
2 175
 
6.9%
3 134
 
5.3%
4 100
 
3.9%
5 70
 
2.7%
6 53
 
2.1%
7 44
 
1.7%
8 32
 
1.3%
9 23
 
0.9%
12 22
 
0.9%
Other values (1164) 1710
67.1%
2023-12-13T04:54:31.663176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1071
17.7%
0 848
14.1%
2 749
12.4%
3 580
9.6%
4 344
 
5.7%
5 284
 
4.7%
9 226
 
3.7%
6 210
 
3.5%
7 177
 
2.9%
8 150
 
2.5%
Other values (68) 1395
23.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4639
76.9%
Uppercase Letter 1170
 
19.4%
Lowercase Letter 163
 
2.7%
Other Letter 31
 
0.5%
Connector Punctuation 20
 
0.3%
Other Punctuation 6
 
0.1%
Dash Punctuation 3
 
< 0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
C 134
 
11.5%
A 121
 
10.3%
R 85
 
7.3%
P 84
 
7.2%
M 72
 
6.2%
G 58
 
5.0%
S 57
 
4.9%
L 55
 
4.7%
T 49
 
4.2%
O 48
 
4.1%
Other values (16) 407
34.8%
Other Letter
ValueCountFrequency (%)
형 6
19.4%
석 3
 
9.7%
인 3
 
9.7%
유 2
 
6.5%
창 1
 
3.2%
권 1
 
3.2%
숙 1
 
3.2%
라 1
 
3.2%
전 1
 
3.2%
팀 1
 
3.2%
Other values (11) 11
35.5%
Lowercase Letter
ValueCountFrequency (%)
b 41
25.2%
a 24
14.7%
t 18
11.0%
e 18
11.0%
m 18
11.0%
h 9
 
5.5%
r 8
 
4.9%
o 5
 
3.1%
d 4
 
2.5%
i 4
 
2.5%
Other values (6) 14
 
8.6%
Decimal Number
ValueCountFrequency (%)
1 1071
23.1%
0 848
18.3%
2 749
16.1%
3 580
12.5%
4 344
 
7.4%
5 284
 
6.1%
9 226
 
4.9%
6 210
 
4.5%
7 177
 
3.8%
8 150
 
3.2%
Connector Punctuation
ValueCountFrequency (%)
_ 20
100.0%
Other Punctuation
ValueCountFrequency (%)
% 6
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4670
77.4%
Latin 1333
 
22.1%
Hangul 31
 
0.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
C 134
 
10.1%
A 121
 
9.1%
R 85
 
6.4%
P 84
 
6.3%
M 72
 
5.4%
G 58
 
4.4%
S 57
 
4.3%
L 55
 
4.1%
T 49
 
3.7%
O 48
 
3.6%
Other values (32) 570
42.8%
Hangul
ValueCountFrequency (%)
형 6
19.4%
석 3
 
9.7%
인 3
 
9.7%
유 2
 
6.5%
창 1
 
3.2%
권 1
 
3.2%
숙 1
 
3.2%
라 1
 
3.2%
전 1
 
3.2%
팀 1
 
3.2%
Other values (11) 11
35.5%
Common
ValueCountFrequency (%)
1 1071
22.9%
0 848
18.2%
2 749
16.0%
3 580
12.4%
4 344
 
7.4%
5 284
 
6.1%
9 226
 
4.8%
6 210
 
4.5%
7 177
 
3.8%
8 150
 
3.2%
Other values (5) 31
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6003
99.5%
Hangul 31
 
0.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1071
17.8%
0 848
14.1%
2 749
12.5%
3 580
9.7%
4 344
 
5.7%
5 284
 
4.7%
9 226
 
3.8%
6 210
 
3.5%
7 177
 
2.9%
8 150
 
2.5%
Other values (47) 1364
22.7%
Hangul
ValueCountFrequency (%)
형 6
19.4%
석 3
 
9.7%
인 3
 
9.7%
유 2
 
6.5%
창 1
 
3.2%
권 1
 
3.2%
숙 1
 
3.2%
라 1
 
3.2%
전 1
 
3.2%
팀 1
 
3.2%
Other values (11) 11
35.5%

카테고리코드번호
Text

Distinct268
Distinct (%)10.5%
Missing0
Missing (%)0.0%
Memory size20.1 KiB
2023-12-13T04:54:32.074159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length6
Min length6

Characters and Unicode

Total characters15300
Distinct characters13
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique14 ?
Unique (%)0.5%

Sample

1st rowCOM001
2nd rowCOM001
3rd rowCOM001
4th rowCOM001
5th rowCOM001
ValueCountFrequency (%)
com126 251
 
9.8%
com113 205
 
8.0%
com166 175
 
6.9%
com075 83
 
3.3%
com204 71
 
2.8%
com143 56
 
2.2%
com197 50
 
2.0%
com101 42
 
1.6%
com190 36
 
1.4%
com167 35
 
1.4%
Other values (258) 1546
60.6%
2023-12-13T04:54:32.648992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
C 2550
16.7%
O 2550
16.7%
M 2550
16.7%
1 2067
13.5%
2 1106
7.2%
0 1047
6.8%
6 861
 
5.6%
3 596
 
3.9%
4 525
 
3.4%
7 461
 
3.0%
Other values (3) 987
 
6.5%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 7650
50.0%
Decimal Number 7650
50.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 2067
27.0%
2 1106
14.5%
0 1047
13.7%
6 861
11.3%
3 596
 
7.8%
4 525
 
6.9%
7 461
 
6.0%
9 371
 
4.8%
5 315
 
4.1%
8 301
 
3.9%
Uppercase Letter
ValueCountFrequency (%)
C 2550
33.3%
O 2550
33.3%
M 2550
33.3%

Most occurring scripts

ValueCountFrequency (%)
Latin 7650
50.0%
Common 7650
50.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 2067
27.0%
2 1106
14.5%
0 1047
13.7%
6 861
11.3%
3 596
 
7.8%
4 525
 
6.9%
7 461
 
6.0%
9 371
 
4.8%
5 315
 
4.1%
8 301
 
3.9%
Latin
ValueCountFrequency (%)
C 2550
33.3%
O 2550
33.3%
M 2550
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 15300
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
C 2550
16.7%
O 2550
16.7%
M 2550
16.7%
1 2067
13.5%
2 1106
7.2%
0 1047
6.8%
6 861
 
5.6%
3 596
 
3.9%
4 525
 
3.4%
7 461
 
3.0%
Other values (3) 987
 
6.5%

코드명
Text

Distinct1760
Distinct (%)69.0%
Missing0
Missing (%)0.0%
Memory size20.1 KiB
2023-12-13T04:54:33.079069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length41
Mean length5.9015686
Min length1

Characters and Unicode

Total characters15049
Distinct characters559
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1303 ?
Unique (%)51.1%

Sample

1st row단일 게시판 이용등록
2nd row커뮤니티 등록
3rd row동호회 등록
4th row명함등록
5th row동호회 게시판 등록
ValueCountFrequency (%)
기타 62
 
1.8%
롤 34
 
1.0%
게임 31
 
0.9%
edit 27
 
0.8%
nle 23
 
0.7%
스튜디오 22
 
0.6%
만화 21
 
0.6%
삭제 20
 
0.6%
및 19
 
0.6%
등 17
 
0.5%
Other values (1870) 3138
91.9%
2023-12-13T04:54:33.697086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
884
 
5.9%
a 603
 
4.0%
i 346
 
2.3%
n 334
 
2.2%
e 286
 
1.9%
1 259
 
1.7%
o 228
 
1.5%
r 228
 
1.5%
기 195
 
1.3%
0 184
 
1.2%
Other values (549) 11502
76.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7662
50.9%
Lowercase Letter 3372
22.4%
Uppercase Letter 1432
 
9.5%
Decimal Number 1076
 
7.1%
Space Separator 884
 
5.9%
Other Punctuation 268
 
1.8%
Close Punctuation 150
 
1.0%
Open Punctuation 150
 
1.0%
Dash Punctuation 43
 
0.3%
Math Symbol 11
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 195
 
2.5%
인 123
 
1.6%
이 122
 
1.6%
스 119
 
1.6%
시 103
 
1.3%
사 100
 
1.3%
업 97
 
1.3%
자 93
 
1.2%
화 89
 
1.2%
제 89
 
1.2%
Other values (470) 6532
85.3%
Lowercase Letter
ValueCountFrequency (%)
a 603
17.9%
i 346
10.3%
n 334
9.9%
e 286
8.5%
o 228
 
6.8%
r 228
 
6.8%
t 179
 
5.3%
l 159
 
4.7%
s 154
 
4.6%
u 148
 
4.4%
Other values (17) 707
21.0%
Uppercase Letter
ValueCountFrequency (%)
S 141
 
9.8%
E 110
 
7.7%
I 104
 
7.3%
B 101
 
7.1%
T 98
 
6.8%
C 91
 
6.4%
D 89
 
6.2%
A 88
 
6.1%
N 85
 
5.9%
M 75
 
5.2%
Other values (16) 450
31.4%
Decimal Number
ValueCountFrequency (%)
1 259
24.1%
0 184
17.1%
2 167
15.5%
9 128
11.9%
3 82
 
7.6%
5 62
 
5.8%
4 60
 
5.6%
6 46
 
4.3%
7 46
 
4.3%
8 42
 
3.9%
Other Punctuation
ValueCountFrequency (%)
/ 112
41.8%
. 73
27.2%
, 47
17.5%
& 17
 
6.3%
· 12
 
4.5%
: 5
 
1.9%
' 1
 
0.4%
! 1
 
0.4%
Math Symbol
ValueCountFrequency (%)
+ 5
45.5%
~ 5
45.5%
→ 1
 
9.1%
Space Separator
ValueCountFrequency (%)
884
100.0%
Close Punctuation
ValueCountFrequency (%)
) 150
100.0%
Open Punctuation
ValueCountFrequency (%)
( 150
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 43
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7662
50.9%
Latin 4804
31.9%
Common 2583
 
17.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 195
 
2.5%
인 123
 
1.6%
이 122
 
1.6%
스 119
 
1.6%
시 103
 
1.3%
사 100
 
1.3%
업 97
 
1.3%
자 93
 
1.2%
화 89
 
1.2%
제 89
 
1.2%
Other values (470) 6532
85.3%
Latin
ValueCountFrequency (%)
a 603
 
12.6%
i 346
 
7.2%
n 334
 
7.0%
e 286
 
6.0%
o 228
 
4.7%
r 228
 
4.7%
t 179
 
3.7%
l 159
 
3.3%
s 154
 
3.2%
u 148
 
3.1%
Other values (43) 2139
44.5%
Common
ValueCountFrequency (%)
884
34.2%
1 259
 
10.0%
0 184
 
7.1%
2 167
 
6.5%
) 150
 
5.8%
( 150
 
5.8%
9 128
 
5.0%
/ 112
 
4.3%
3 82
 
3.2%
. 73
 
2.8%
Other values (16) 394
15.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7662
50.9%
ASCII 7373
49.0%
None 13
 
0.1%
Arrows 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
884
 
12.0%
a 603
 
8.2%
i 346
 
4.7%
n 334
 
4.5%
e 286
 
3.9%
1 259
 
3.5%
o 228
 
3.1%
r 228
 
3.1%
0 184
 
2.5%
t 179
 
2.4%
Other values (66) 3842
52.1%
Hangul
ValueCountFrequency (%)
기 195
 
2.5%
인 123
 
1.6%
이 122
 
1.6%
스 119
 
1.6%
시 103
 
1.3%
사 100
 
1.3%
업 97
 
1.3%
자 93
 
1.2%
화 89
 
1.2%
제 89
 
1.2%
Other values (470) 6532
85.3%
None
ValueCountFrequency (%)
· 12
92.3%
è 1
 
7.7%
Arrows
ValueCountFrequency (%)
→ 1
100.0%

코드설명
Text

Distinct1927
Distinct (%)75.6%
Missing0
Missing (%)0.0%
Memory size20.1 KiB
2023-12-13T04:54:34.083183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length67
Median length35
Mean length5.5415686
Min length1

Characters and Unicode

Total characters14131
Distinct characters608
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1637 ?
Unique (%)64.2%

Sample

1st row단일 게시판 이용등록
2nd row커뮤니티 등록
3rd row동호회 등록
4th row명함등록
5th row동호회 게시판 등록
ValueCountFrequency (%)
기타 60
 
1.8%
롤 34
 
1.0%
게임 31
 
0.9%
스튜디오 29
 
0.9%
edit 27
 
0.8%
nle 23
 
0.7%
등 22
 
0.7%
및 22
 
0.7%
만화 21
 
0.6%
방송 14
 
0.4%
Other values (2013) 3070
91.6%
2023-12-13T04:54:34.636440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
828
 
5.9%
( 400
 
2.8%
) 400
 
2.8%
N 280
 
2.0%
1 267
 
1.9%
기 213
 
1.5%
스 202
 
1.4%
아 194
 
1.4%
0 189
 
1.3%
2 172
 
1.2%
Other values (598) 10986
77.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9692
68.6%
Decimal Number 1099
 
7.8%
Uppercase Letter 983
 
7.0%
Space Separator 828
 
5.9%
Open Punctuation 425
 
3.0%
Close Punctuation 425
 
3.0%
Lowercase Letter 423
 
3.0%
Other Punctuation 205
 
1.5%
Dash Punctuation 36
 
0.3%
Math Symbol 15
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 213
 
2.2%
스 202
 
2.1%
아 194
 
2.0%
이 172
 
1.8%
인 143
 
1.5%
리 142
 
1.5%
시 129
 
1.3%
라 117
 
1.2%
사 117
 
1.2%
니 117
 
1.2%
Other values (519) 8146
84.0%
Lowercase Letter
ValueCountFrequency (%)
a 49
11.6%
n 47
11.1%
t 47
11.1%
i 45
10.6%
e 39
9.2%
o 32
 
7.6%
r 26
 
6.1%
s 23
 
5.4%
c 17
 
4.0%
d 14
 
3.3%
Other values (16) 84
19.9%
Uppercase Letter
ValueCountFrequency (%)
N 280
28.5%
E 87
 
8.9%
D 78
 
7.9%
S 64
 
6.5%
B 57
 
5.8%
T 53
 
5.4%
I 45
 
4.6%
L 42
 
4.3%
C 40
 
4.1%
A 37
 
3.8%
Other values (15) 200
20.3%
Decimal Number
ValueCountFrequency (%)
1 267
24.3%
0 189
17.2%
2 172
15.7%
9 128
11.6%
3 83
 
7.6%
5 64
 
5.8%
4 60
 
5.5%
7 48
 
4.4%
6 46
 
4.2%
8 42
 
3.8%
Other Punctuation
ValueCountFrequency (%)
/ 108
52.7%
, 43
 
21.0%
. 20
 
9.8%
· 14
 
6.8%
& 14
 
6.8%
: 5
 
2.4%
! 1
 
0.5%
Math Symbol
ValueCountFrequency (%)
~ 5
33.3%
+ 5
33.3%
> 4
26.7%
→ 1
 
6.7%
Open Punctuation
ValueCountFrequency (%)
( 400
94.1%
（ 25
 
5.9%
Close Punctuation
ValueCountFrequency (%)
) 400
94.1%
） 25
 
5.9%
Dash Punctuation
ValueCountFrequency (%)
- 35
97.2%
－ 1
 
2.8%
Space Separator
ValueCountFrequency (%)
828
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9692
68.6%
Common 3033
 
21.5%
Latin 1406
 
9.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 213
 
2.2%
스 202
 
2.1%
아 194
 
2.0%
이 172
 
1.8%
인 143
 
1.5%
리 142
 
1.5%
시 129
 
1.3%
라 117
 
1.2%
사 117
 
1.2%
니 117
 
1.2%
Other values (519) 8146
84.0%
Latin
ValueCountFrequency (%)
N 280
19.9%
E 87
 
6.2%
D 78
 
5.5%
S 64
 
4.6%
B 57
 
4.1%
T 53
 
3.8%
a 49
 
3.5%
n 47
 
3.3%
t 47
 
3.3%
I 45
 
3.2%
Other values (41) 599
42.6%
Common
ValueCountFrequency (%)
828
27.3%
( 400
13.2%
) 400
13.2%
1 267
 
8.8%
0 189
 
6.2%
2 172
 
5.7%
9 128
 
4.2%
/ 108
 
3.6%
3 83
 
2.7%
5 64
 
2.1%
Other values (18) 394
13.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9691
68.6%
ASCII 4372
30.9%
None 66
 
0.5%
Arrows 1
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
828
18.9%
( 400
 
9.1%
) 400
 
9.1%
N 280
 
6.4%
1 267
 
6.1%
0 189
 
4.3%
2 172
 
3.9%
9 128
 
2.9%
/ 108
 
2.5%
E 87
 
2.0%
Other values (63) 1513
34.6%
Hangul
ValueCountFrequency (%)
기 213
 
2.2%
스 202
 
2.1%
아 194
 
2.0%
이 172
 
1.8%
인 143
 
1.5%
리 142
 
1.5%
시 129
 
1.3%
라 117
 
1.2%
사 117
 
1.2%
니 117
 
1.2%
Other values (518) 8145
84.0%
None
ValueCountFrequency (%)
（ 25
37.9%
） 25
37.9%
· 14
21.2%
è 1
 
1.5%
－ 1
 
1.5%
Arrows
ValueCountFrequency (%)
→ 1
100.0%
Compat Jamo
ValueCountFrequency (%)
ㅅ 1
100.0%

상위코드
Text

Distinct93
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size20.1 KiB
2023-12-13T04:54:34.861906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length1
Mean length1.2607843
Min length1

Characters and Unicode

Total characters3215
Distinct characters14
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique27 ?
Unique (%)1.1%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0
ValueCountFrequency (%)
0 2130
83.5%
a02 22
 
0.9%
a01 16
 
0.6%
1 15
 
0.6%
a03 14
 
0.5%
200 12
 
0.5%
300 12
 
0.5%
m03 12
 
0.5%
331 12
 
0.5%
322 12
 
0.5%
Other values (83) 293
 
11.5%
2023-12-13T04:54:35.204957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2379
74.0%
2 207
 
6.4%
3 199
 
6.2%
1 183
 
5.7%
A 61
 
1.9%
4 50
 
1.6%
5 45
 
1.4%
C 23
 
0.7%
M 22
 
0.7%
P 16
 
0.5%
Other values (4) 30
 
0.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3093
96.2%
Uppercase Letter 122
 
3.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2379
76.9%
2 207
 
6.7%
3 199
 
6.4%
1 183
 
5.9%
4 50
 
1.6%
5 45
 
1.5%
6 10
 
0.3%
9 8
 
0.3%
7 8
 
0.3%
8 4
 
0.1%
Uppercase Letter
ValueCountFrequency (%)
A 61
50.0%
C 23
 
18.9%
M 22
 
18.0%
P 16
 
13.1%

Most occurring scripts

ValueCountFrequency (%)
Common 3093
96.2%
Latin 122
 
3.8%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2379
76.9%
2 207
 
6.7%
3 199
 
6.4%
1 183
 
5.9%
4 50
 
1.6%
5 45
 
1.5%
6 10
 
0.3%
9 8
 
0.3%
7 8
 
0.3%
8 4
 
0.1%
Latin
ValueCountFrequency (%)
A 61
50.0%
C 23
 
18.9%
M 22
 
18.0%
P 16
 
13.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3215
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2379
74.0%
2 207
 
6.4%
3 199
 
6.2%
1 183
 
5.7%
A 61
 
1.9%
4 50
 
1.6%
5 45
 
1.4%
C 23
 
0.7%
M 22
 
0.7%
P 16
 
0.5%
Other values (4) 30
 
0.9%

사용상태값
Boolean

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
True
2204 
False
346 
ValueCountFrequency (%)
True 2204
86.4%
False 346
 
13.6%
2023-12-13T04:54:35.313621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

정렬순서
Real number (ℝ)

SKEWED  ZEROS 

Distinct83
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.4521569
Minimum0
Maximum2014
Zeros1248
Zeros (%)48.9%
Negative0
Negative (%)0.0%
Memory size22.5 KiB
2023-12-13T04:54:35.418220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q34
95-th percentile23.55
Maximum2014
Range2014
Interquartile range (IQR)4

Descriptive statistics

Standard deviation41.347315
Coefficient of variation (CV)7.5836621
Kurtosis2186.9226
Mean5.4521569
Median Absolute Deviation (MAD)1
Skewness45.103232
Sum13903
Variance1709.6005
MonotonicityNot monotonic
2023-12-13T04:54:35.558760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1248
48.9%
1 239
 
9.4%
2 204
 
8.0%
3 151
 
5.9%
4 106
 
4.2%
5 82
 
3.2%
6 70
 
2.7%
7 53
 
2.1%
8 43
 
1.7%
9 32
 
1.3%
Other values (73) 322
 
12.6%
ValueCountFrequency (%)
0 1248
48.9%
1 239
 
9.4%
2 204
 
8.0%
3 151
 
5.9%
4 106
 
4.2%
5 82
 
3.2%
6 70
 
2.7%
7 53
 
2.1%
8 43
 
1.7%
9 32
 
1.3%
ValueCountFrequency (%)
2014 1
< 0.1%
109 1
< 0.1%
108 1
< 0.1%
107 1
< 0.1%
106 1
< 0.1%
105 1
< 0.1%
104 1
< 0.1%
103 1
< 0.1%
102 1
< 0.1%
101 1
< 0.1%

최초등록일시
Date

MISSING 

Distinct725
Distinct (%)30.1%
Missing139
Missing (%)5.5%
Memory size20.1 KiB
Minimum2009-08-11 10:07:00
Maximum2023-02-28 10:09:00
2023-12-13T04:54:35.708486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:54:35.849845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

마지막수정일시
Date

MISSING 

Distinct262
Distinct (%)27.5%
Missing1596
Missing (%)62.6%
Memory size20.1 KiB
Minimum2009-08-11 10:07:00
Maximum2023-02-23 11:16:00
2023-12-13T04:54:35.969880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:54:36.104266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Interactions

2023-12-13T04:54:30.153536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T04:54:36.186741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
상위코드사용상태값정렬순서
상위코드1.0000.2470.000
사용상태값0.2471.0000.000
정렬순서0.0000.0001.000
2023-12-13T04:54:36.592364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
정렬순서사용상태값
정렬순서1.0000.000
사용상태값0.0001.000

Missing values

2023-12-13T04:54:30.327585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T04:54:30.505218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2023-12-13T04:54:30.656724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

코드카테고리코드번호코드명코드설명상위코드사용상태값정렬순서최초등록일시마지막수정일시
0REGC01COM001단일 게시판 이용등록단일 게시판 이용등록0Y02011-03-30 13:572011-03-30 13:57
1REGC02COM001커뮤니티 등록커뮤니티 등록0Y02011-03-30 13:572011-03-30 13:57
2REGC03COM001동호회 등록동호회 등록0Y02011-03-30 13:572011-03-30 13:57
3REGC04COM001명함등록명함등록0Y02011-03-30 13:572011-03-30 13:57
4REGC05COM001동호회 게시판 등록동호회 게시판 등록0Y02011-03-30 13:572011-03-30 13:57
5REGC06COM001커뮤니티 게시판 등록커뮤니티 게시판 등록0Y02011-03-30 13:572011-03-30 13:57
6REGC07COM001게시판사용자등록게시판사용자등록0Y02011-03-30 13:572011-03-30 13:57
7HIST01COM002소프트웨어패치소프트웨어패치0Y02011-03-30 13:572011-03-30 13:57
8HIST02COM002소프트웨어설치소프트웨어설치0Y02011-03-30 13:572011-03-30 13:57
9HIST03COM002소프트웨어삭제소프트웨어삭제0Y02011-03-30 13:572011-03-30 13:57
코드카테고리코드번호코드명코드설명상위코드사용상태값정렬순서최초등록일시마지막수정일시
25403COM429예능예능0Y32023-02-28 10:08<NA>
25414COM429다큐멘터리다큐멘터리0Y42023-02-28 10:09<NA>
25421COM989정보포털정보포털0Y12019-08-07 11:272019-12-11 11:33
25432COM989사업관리사업관리0Y22019-08-07 11:272019-12-11 11:33
25443COM989교육취업교육취업0Y32019-08-07 11:272019-12-11 11:33
25454COM989콘텐츠유통콘텐츠유통0Y42019-08-07 11:272019-12-11 11:33
25465COM989이용보호이용보호0Y52019-08-07 11:272019-12-11 11:33
25476COM989비즈매칭비즈매칭0Y62019-08-07 11:272019-12-11 11:33
25487COM989관련기관단체관련기관단체0Y72019-08-07 11:272019-12-11 11:33
25498COM989정부기관정부기관0Y82019-08-07 11:272019-12-11 11:33