Overview

Dataset statistics

Number of variables27
Number of observations10000
Missing cells6891
Missing cells (%)2.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.2 MiB
Average record size in memory226.0 B

Variable types

Text17
Numeric2
Categorical6
DateTime2

Dataset

Description공공정보그룹명,공공정보명,서비스ID,서비스명,상위분류체계ID,분류체계ID,상위분류체계명,분류체계명,태그,제공기관,제공부서,담당자명,담당자연락처,DATA등록일,원본시스템,원본시스템 링크,저작권자명,저작권자연락처,제3저작권자,원본형태,갱신주기,이용허락조건 코드,이용허락조건,서비스유형,서비스설명,바로가기URL,최종수정일자
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-2250/S/1/datasetView.do

Alerts

이용허락조건 has constant value ""Constant
제3저작권자 is highly imbalanced (97.9%)Imbalance
원본형태 is highly imbalanced (71.0%)Imbalance
이용허락조건 코드 is highly imbalanced (85.5%)Imbalance
원본시스템 has 2208 (22.1%) missing valuesMissing
원본시스템 링크 has 2923 (29.2%) missing valuesMissing
저작권자명 has 169 (1.7%) missing valuesMissing
저작권자연락처 has 1505 (15.0%) missing valuesMissing
바로가기URL has unique valuesUnique

Reproduction

Analysis started2024-05-11 00:01:57.040931
Analysis finished2024-05-11 00:02:06.014454
Duration8.97 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

공공정보그룹명
Text

Distinct458
Distinct (%)4.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-11T00:02:06.541613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length23
Mean length10.296
Min length2

Characters and Unicode

Total characters102960
Distinct characters345
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique99 ?
Unique (%)1.0%

Sample

1st row중랑구 홈페이지
2nd row한국교육학술정보원
3rd row서울시 통계정보
4th row지방행정인허가 데이터
5th row동작구 홈페이지
ValueCountFrequency (%)
지방행정인허가 3772
21.1%
데이터 3772
21.1%
서울시 2529
14.2%
통계정보 2250
12.6%
한국교육학술정보원 531
 
3.0%
홈페이지 288
 
1.6%
공간데이터웨어하우스 239
 
1.3%
공공서비스예약 187
 
1.0%
시스템 134
 
0.8%
서울시도시계획정보시스템 111
 
0.6%
Other values (485) 4041
22.6%
2024-05-11T00:02:07.891776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
정 8571
 
8.3%
7857
 
7.6%
이 4727
 
4.6%
행 4433
 
4.3%
시 4422
 
4.3%
지 4394
 
4.3%
터 4328
 
4.2%
데 4253
 
4.1%
보 4167
 
4.0%
방 3863
 
3.8%
Other values (335) 51945
50.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 91807
89.2%
Space Separator 7857
 
7.6%
Close Punctuation 731
 
0.7%
Open Punctuation 731
 
0.7%
Dash Punctuation 601
 
0.6%
Lowercase Letter 437
 
0.4%
Uppercase Letter 408
 
0.4%
Decimal Number 162
 
0.2%
Connector Punctuation 147
 
0.1%
Other Punctuation 78
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
정 8571
 
9.3%
이 4727
 
5.1%
행 4433
 
4.8%
시 4422
 
4.8%
지 4394
 
4.8%
터 4328
 
4.7%
데 4253
 
4.6%
보 4167
 
4.5%
방 3863
 
4.2%
인 3831
 
4.2%
Other values (290) 44818
48.8%
Uppercase Letter
ValueCountFrequency (%)
S 114
27.9%
I 58
14.2%
T 55
13.5%
B 51
12.5%
V 42
 
10.3%
C 12
 
2.9%
P 12
 
2.9%
O 10
 
2.5%
D 10
 
2.5%
M 9
 
2.2%
Other values (8) 35
 
8.6%
Lowercase Letter
ValueCountFrequency (%)
o 116
26.5%
t 63
14.4%
i 58
13.3%
n 39
 
8.9%
e 37
 
8.5%
f 34
 
7.8%
l 29
 
6.6%
s 29
 
6.6%
u 29
 
6.6%
k 3
 
0.7%
Decimal Number
ValueCountFrequency (%)
1 51
31.5%
2 45
27.8%
4 36
22.2%
9 28
17.3%
0 1
 
0.6%
5 1
 
0.6%
Other Punctuation
ValueCountFrequency (%)
' 72
92.3%
? 4
 
5.1%
, 2
 
2.6%
Close Punctuation
ValueCountFrequency (%)
) 720
98.5%
] 11
 
1.5%
Open Punctuation
ValueCountFrequency (%)
( 720
98.5%
[ 11
 
1.5%
Space Separator
ValueCountFrequency (%)
7857
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 601
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 147
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 91807
89.2%
Common 10308
 
10.0%
Latin 845
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
정 8571
 
9.3%
이 4727
 
5.1%
행 4433
 
4.8%
시 4422
 
4.8%
지 4394
 
4.8%
터 4328
 
4.7%
데 4253
 
4.6%
보 4167
 
4.5%
방 3863
 
4.2%
인 3831
 
4.2%
Other values (290) 44818
48.8%
Latin
ValueCountFrequency (%)
o 116
13.7%
S 114
13.5%
t 63
 
7.5%
i 58
 
6.9%
I 58
 
6.9%
T 55
 
6.5%
B 51
 
6.0%
V 42
 
5.0%
n 39
 
4.6%
e 37
 
4.4%
Other values (18) 212
25.1%
Common
ValueCountFrequency (%)
7857
76.2%
) 720
 
7.0%
( 720
 
7.0%
- 601
 
5.8%
_ 147
 
1.4%
' 72
 
0.7%
1 51
 
0.5%
2 45
 
0.4%
4 36
 
0.3%
9 28
 
0.3%
Other values (7) 31
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 91807
89.2%
ASCII 11153
 
10.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
정 8571
 
9.3%
이 4727
 
5.1%
행 4433
 
4.8%
시 4422
 
4.8%
지 4394
 
4.8%
터 4328
 
4.7%
데 4253
 
4.6%
보 4167
 
4.5%
방 3863
 
4.2%
인 3831
 
4.2%
Other values (290) 44818
48.8%
ASCII
ValueCountFrequency (%)
7857
70.4%
) 720
 
6.5%
( 720
 
6.5%
- 601
 
5.4%
_ 147
 
1.3%
o 116
 
1.0%
S 114
 
1.0%
' 72
 
0.6%
t 63
 
0.6%
i 58
 
0.5%
Other values (35) 685
 
6.1%

공공정보명
Text

Distinct724
Distinct (%)7.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-11T00:02:08.727182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length24
Mean length5.6494
Min length2

Characters and Unicode

Total characters56494
Distinct characters371
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique223 ?
Unique (%)2.2%

Sample

1st row중랑구 채용정보
2nd row한국교육학술정보원
3rd row노인복지
4th row관광
5th row동작구 채용공고
ValueCountFrequency (%)
문화 741
 
5.6%
식품 734
 
5.6%
정보 641
 
4.8%
한국교육학술정보원 531
 
4.0%
보건의료 435
 
3.3%
관광 404
 
3.1%
통계 374
 
2.8%
산업 352
 
2.7%
및 316
 
2.4%
체육 224
 
1.7%
Other values (823) 8473
64.1%
2024-05-11T00:02:10.034682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3226
 
5.7%
보 2782
 
4.9%
정 2395
 
4.2%
공 1339
 
2.4%
식 1330
 
2.4%
관 1260
 
2.2%
품 1072
 
1.9%
교 1009
 
1.8%
지 991
 
1.8%
시 978
 
1.7%
Other values (361) 40112
71.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 51073
90.4%
Space Separator 3226
 
5.7%
Open Punctuation 488
 
0.9%
Close Punctuation 488
 
0.9%
Uppercase Letter 472
 
0.8%
Other Punctuation 428
 
0.8%
Decimal Number 174
 
0.3%
Connector Punctuation 87
 
0.2%
Lowercase Letter 53
 
0.1%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
보 2782
 
5.4%
정 2395
 
4.7%
공 1339
 
2.6%
식 1330
 
2.6%
관 1260
 
2.5%
품 1072
 
2.1%
교 1009
 
2.0%
지 991
 
1.9%
시 978
 
1.9%
육 956
 
1.9%
Other values (324) 36961
72.4%
Uppercase Letter
ValueCountFrequency (%)
I 115
24.4%
T 97
20.6%
C 88
18.6%
V 53
11.2%
W 31
 
6.6%
F 31
 
6.6%
S 12
 
2.5%
P 10
 
2.1%
X 9
 
1.9%
O 6
 
1.3%
Other values (6) 20
 
4.2%
Decimal Number
ValueCountFrequency (%)
1 82
47.1%
2 37
21.3%
9 31
 
17.8%
0 15
 
8.6%
3 7
 
4.0%
4 2
 
1.1%
Lowercase Letter
ValueCountFrequency (%)
o 47
88.7%
e 2
 
3.8%
p 2
 
3.8%
n 2
 
3.8%
Other Punctuation
ValueCountFrequency (%)
? 339
79.2%
/ 51
 
11.9%
, 38
 
8.9%
Open Punctuation
ValueCountFrequency (%)
( 478
98.0%
[ 10
 
2.0%
Close Punctuation
ValueCountFrequency (%)
) 478
98.0%
] 10
 
2.0%
Space Separator
ValueCountFrequency (%)
3226
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 87
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 51073
90.4%
Common 4896
 
8.7%
Latin 525
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
보 2782
 
5.4%
정 2395
 
4.7%
공 1339
 
2.6%
식 1330
 
2.6%
관 1260
 
2.5%
품 1072
 
2.1%
교 1009
 
2.0%
지 991
 
1.9%
시 978
 
1.9%
육 956
 
1.9%
Other values (324) 36961
72.4%
Latin
ValueCountFrequency (%)
I 115
21.9%
T 97
18.5%
C 88
16.8%
V 53
10.1%
o 47
9.0%
W 31
 
5.9%
F 31
 
5.9%
S 12
 
2.3%
P 10
 
1.9%
X 9
 
1.7%
Other values (10) 32
 
6.1%
Common
ValueCountFrequency (%)
3226
65.9%
( 478
 
9.8%
) 478
 
9.8%
? 339
 
6.9%
_ 87
 
1.8%
1 82
 
1.7%
/ 51
 
1.0%
, 38
 
0.8%
2 37
 
0.8%
9 31
 
0.6%
Other values (7) 49
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 51073
90.4%
ASCII 5421
 
9.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3226
59.5%
( 478
 
8.8%
) 478
 
8.8%
? 339
 
6.3%
I 115
 
2.1%
T 97
 
1.8%
C 88
 
1.6%
_ 87
 
1.6%
1 82
 
1.5%
V 53
 
1.0%
Other values (27) 378
 
7.0%
Hangul
ValueCountFrequency (%)
보 2782
 
5.4%
정 2395
 
4.7%
공 1339
 
2.6%
식 1330
 
2.6%
관 1260
 
2.5%
품 1072
 
2.1%
교 1009
 
2.0%
지 991
 
1.9%
시 978
 
1.9%
육 956
 
1.9%
Other values (324) 36961
72.4%

서비스ID
Text

Distinct6703
Distinct (%)67.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-11T00:02:11.119915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length7.8274
Min length6

Characters and Unicode

Total characters78274
Distinct characters13
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3622 ?
Unique (%)36.2%

Sample

1st rowOA-12701
2nd rowOA-20566
3rd rowOA-21538
4th rowOA-17438
5th rowOA-12716
ValueCountFrequency (%)
oa-1364 5
 
< 0.1%
oa-1351 5
 
< 0.1%
oa-347 5
 
< 0.1%
oa-353 5
 
< 0.1%
oa-356 5
 
< 0.1%
oa-345 5
 
< 0.1%
oa-11994 4
 
< 0.1%
oa-350 4
 
< 0.1%
oa-343 4
 
< 0.1%
oa-11988 4
 
< 0.1%
Other values (6693) 9954
99.5%
2024-05-11T00:02:12.815369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 11265
14.4%
O 10000
12.8%
A 10000
12.8%
- 10000
12.8%
2 6868
8.8%
0 4146
 
5.3%
6 4044
 
5.2%
7 4011
 
5.1%
5 3797
 
4.9%
3 3730
 
4.8%
Other values (3) 10413
13.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 48274
61.7%
Uppercase Letter 20000
25.6%
Dash Punctuation 10000
 
12.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 11265
23.3%
2 6868
14.2%
0 4146
 
8.6%
6 4044
 
8.4%
7 4011
 
8.3%
5 3797
 
7.9%
3 3730
 
7.7%
8 3621
 
7.5%
9 3557
 
7.4%
4 3235
 
6.7%
Uppercase Letter
ValueCountFrequency (%)
O 10000
50.0%
A 10000
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 10000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 58274
74.4%
Latin 20000
 
25.6%

Most frequent character per script

Common
ValueCountFrequency (%)
1 11265
19.3%
- 10000
17.2%
2 6868
11.8%
0 4146
 
7.1%
6 4044
 
6.9%
7 4011
 
6.9%
5 3797
 
6.5%
3 3730
 
6.4%
8 3621
 
6.2%
9 3557
 
6.1%
Latin
ValueCountFrequency (%)
O 10000
50.0%
A 10000
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 78274
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 11265
14.4%
O 10000
12.8%
A 10000
12.8%
- 10000
12.8%
2 6868
8.8%
0 4146
 
5.3%
6 4044
 
5.2%
7 4011
 
5.1%
5 3797
 
4.9%
3 3730
 
4.8%
Other values (3) 10413
13.3%

서비스명
Text

Distinct6703
Distinct (%)67.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-11T00:02:13.697482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length44
Mean length21.1881
Min length5

Characters and Unicode

Total characters211881
Distinct characters601
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3622 ?
Unique (%)36.2%

Sample

1st row서울시 중랑구 채용 정보
2nd row서울시 유치원 일반현황
3rd row이용 경험 - 노인돌봄서비스
4th row서울시 은평구 숙박업 인허가 정보
5th row서울시 동작구 채용공고 정보
ValueCountFrequency (%)
서울시 8886
 
18.6%
정보 4941
 
10.3%
인허가 3737
 
7.8%
현황 1561
 
3.3%
통계 1546
 
3.2%
유치원 424
 
0.9%
위치정보 389
 
0.8%
좌표계 329
 
0.7%
및 268
 
0.6%
양천구 264
 
0.6%
Other values (4060) 25544
53.3%
2024-05-11T00:02:15.383851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
37903
 
17.9%
서 10476
 
4.9%
시 10400
 
4.9%
울 9349
 
4.4%
정 6783
 
3.2%
구 6573
 
3.1%
보 6243
 
2.9%
인 4739
 
2.2%
가 4618
 
2.2%
업 4187
 
2.0%
Other values (591) 110610
52.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 160391
75.7%
Space Separator 37903
 
17.9%
Decimal Number 5294
 
2.5%
Close Punctuation 2422
 
1.1%
Open Punctuation 2422
 
1.1%
Uppercase Letter 1866
 
0.9%
Other Punctuation 836
 
0.4%
Dash Punctuation 278
 
0.1%
Math Symbol 215
 
0.1%
Connector Punctuation 138
 
0.1%
Other values (2) 116
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 10476
 
6.5%
시 10400
 
6.5%
울 9349
 
5.8%
정 6783
 
4.2%
구 6573
 
4.1%
보 6243
 
3.9%
인 4739
 
3.0%
가 4618
 
2.9%
업 4187
 
2.6%
허 3819
 
2.4%
Other values (526) 93204
58.1%
Uppercase Letter
ValueCountFrequency (%)
T 330
17.7%
I 215
11.5%
S 201
10.8%
C 197
10.6%
G 173
9.3%
F 169
9.1%
W 168
9.0%
R 165
8.8%
V 107
 
5.7%
E 31
 
1.7%
Other values (11) 110
 
5.9%
Lowercase Letter
ValueCountFrequency (%)
o 49
43.4%
e 10
 
8.8%
t 10
 
8.8%
n 7
 
6.2%
a 6
 
5.3%
i 5
 
4.4%
p 4
 
3.5%
s 4
 
3.5%
c 3
 
2.7%
r 3
 
2.7%
Other values (8) 12
 
10.6%
Decimal Number
ValueCountFrequency (%)
0 1834
34.6%
2 1074
20.3%
1 812
15.3%
9 473
 
8.9%
8 334
 
6.3%
4 241
 
4.6%
5 192
 
3.6%
6 137
 
2.6%
7 125
 
2.4%
3 72
 
1.4%
Other Punctuation
ValueCountFrequency (%)
: 335
40.1%
/ 189
22.6%
? 141
16.9%
. 117
 
14.0%
, 53
 
6.3%
& 1
 
0.1%
Math Symbol
ValueCountFrequency (%)
~ 209
97.2%
→ 2
 
0.9%
+ 2
 
0.9%
← 2
 
0.9%
Space Separator
ValueCountFrequency (%)
37903
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2422
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2422
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 278
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 138
100.0%
Other Symbol
ValueCountFrequency (%)
㎡ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 160383
75.7%
Common 49511
 
23.4%
Latin 1979
 
0.9%
Han 8
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 10476
 
6.5%
시 10400
 
6.5%
울 9349
 
5.8%
정 6783
 
4.2%
구 6573
 
4.1%
보 6243
 
3.9%
인 4739
 
3.0%
가 4618
 
2.9%
업 4187
 
2.6%
허 3819
 
2.4%
Other values (524) 93196
58.1%
Latin
ValueCountFrequency (%)
T 330
16.7%
I 215
10.9%
S 201
10.2%
C 197
10.0%
G 173
8.7%
F 169
8.5%
W 168
8.5%
R 165
8.3%
V 107
 
5.4%
o 49
 
2.5%
Other values (29) 205
10.4%
Common
ValueCountFrequency (%)
37903
76.6%
) 2422
 
4.9%
( 2422
 
4.9%
0 1834
 
3.7%
2 1074
 
2.2%
1 812
 
1.6%
9 473
 
1.0%
: 335
 
0.7%
8 334
 
0.7%
- 278
 
0.6%
Other values (16) 1624
 
3.3%
Han
ValueCountFrequency (%)
母 6
75.0%
父 2
 
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 160376
75.7%
ASCII 51483
 
24.3%
CJK 8
 
< 0.1%
Compat Jamo 7
 
< 0.1%
Arrows 4
 
< 0.1%
CJK Compat 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
37903
73.6%
) 2422
 
4.7%
( 2422
 
4.7%
0 1834
 
3.6%
2 1074
 
2.1%
1 812
 
1.6%
9 473
 
0.9%
: 335
 
0.7%
8 334
 
0.6%
T 330
 
0.6%
Other values (52) 3544
 
6.9%
Hangul
ValueCountFrequency (%)
서 10476
 
6.5%
시 10400
 
6.5%
울 9349
 
5.8%
정 6783
 
4.2%
구 6573
 
4.1%
보 6243
 
3.9%
인 4739
 
3.0%
가 4618
 
2.9%
업 4187
 
2.6%
허 3819
 
2.4%
Other values (523) 93189
58.1%
Compat Jamo
ValueCountFrequency (%)
ㆍ 7
100.0%
CJK
ValueCountFrequency (%)
母 6
75.0%
父 2
 
25.0%
CJK Compat
ValueCountFrequency (%)
㎡ 3
100.0%
Arrows
ValueCountFrequency (%)
→ 2
50.0%
← 2
50.0%

상위분류체계ID
Real number (ℝ)

Distinct10
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1005.5742
Minimum1000
Maximum1009
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T00:02:15.901581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1000
5-th percentile1000
Q11003
median1006
Q31008
95-th percentile1009
Maximum1009
Range9
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.0857814
Coefficient of variation (CV)0.0030686759
Kurtosis-1.1083548
Mean1005.5742
Median Absolute Deviation (MAD)2
Skewness-0.51097171
Sum10055742
Variance9.5220466
MonotonicityNot monotonic
2024-05-11T00:02:16.255162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1009 2201
22.0%
1008 1982
19.8%
1005 1182
11.8%
1000 978
9.8%
1002 839
 
8.4%
1006 838
 
8.4%
1004 663
 
6.6%
1001 557
 
5.6%
1007 493
 
4.9%
1003 267
 
2.7%
ValueCountFrequency (%)
1000 978
9.8%
1001 557
 
5.6%
1002 839
 
8.4%
1003 267
 
2.7%
1004 663
 
6.6%
1005 1182
11.8%
1006 838
 
8.4%
1007 493
 
4.9%
1008 1982
19.8%
1009 2201
22.0%
ValueCountFrequency (%)
1009 2201
22.0%
1008 1982
19.8%
1007 493
 
4.9%
1006 838
 
8.4%
1005 1182
11.8%
1004 663
 
6.6%
1003 267
 
2.7%
1002 839
 
8.4%
1001 557
 
5.6%
1000 978
9.8%

분류체계ID
Real number (ℝ)

Distinct51
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2031.17
Minimum2000
Maximum2050
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T00:02:16.797749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2000
5-th percentile2002
Q12022
median2035
Q32044
95-th percentile2048
Maximum2050
Range50
Interquartile range (IQR)22

Descriptive statistics

Standard deviation15.211727
Coefficient of variation (CV)0.0074891452
Kurtosis-0.87079761
Mean2031.17
Median Absolute Deviation (MAD)11
Skewness-0.63743458
Sum20311700
Variance231.39664
MonotonicityNot monotonic
2024-05-11T00:02:17.459078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2046 1298
 
13.0%
2043 1226
 
12.3%
2048 638
 
6.4%
2023 621
 
6.2%
2044 515
 
5.1%
2026 461
 
4.6%
2001 360
 
3.6%
2032 359
 
3.6%
2003 353
 
3.5%
2027 305
 
3.0%
Other values (41) 3864
38.6%
ValueCountFrequency (%)
2000 115
 
1.1%
2001 360
3.6%
2002 69
 
0.7%
2003 353
3.5%
2004 81
 
0.8%
2005 187
1.9%
2006 58
 
0.6%
2007 10
 
0.1%
2008 48
 
0.5%
2009 22
 
0.2%
ValueCountFrequency (%)
2050 129
 
1.3%
2049 42
 
0.4%
2048 638
6.4%
2047 136
 
1.4%
2046 1298
13.0%
2045 241
 
2.4%
2044 515
 
5.1%
2043 1226
12.3%
2042 23
 
0.2%
2041 14
 
0.1%

상위분류체계명
Categorical

Distinct10
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
보건
2201 
문화관광
1982 
산업경제
1182 
일반행정
978 
환경
839 
Other values (5)
2818 

Length

Max length4
Median length2
Mean length2.9398
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row문화관광
2nd row교육
3rd row복지
4th row문화관광
5th row산업경제

Common Values

ValueCountFrequency (%)
보건 2201
22.0%
문화관광 1982
19.8%
산업경제 1182
11.8%
일반행정 978
9.8%
환경 839
 
8.4%
복지 838
 
8.4%
교육 663
 
6.6%
도시관리 557
 
5.6%
교통 493
 
4.9%
안전 267
 
2.7%

Length

2024-05-11T00:02:18.020259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:02:18.458057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
보건 2201
22.0%
문화관광 1982
19.8%
산업경제 1182
11.8%
일반행정 978
9.8%
환경 839
 
8.4%
복지 838
 
8.4%
교육 663
 
6.6%
도시관리 557
 
5.6%
교통 493
 
4.9%
안전 267
 
2.7%

분류체계명
Text

Distinct51
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-11T00:02:19.061513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length2
Mean length3.0296
Min length2

Characters and Unicode

Total characters30296
Distinct characters98
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

Unique0 ?
Unique (%)0.0%

Sample

1st row문화
2nd row학교교육
3rd row노인복지
4th row관광
5th row고용노동
ValueCountFrequency (%)
식품 1298
 
12.6%
문화 1226
 
11.9%
보건의료 638
 
6.2%
학교교육 621
 
6.0%
관광 515
 
5.0%
산업 461
 
4.5%
행정 360
 
3.5%
일반복지 359
 
3.5%
통계 353
 
3.4%
경제 305
 
3.0%
Other values (44) 4170
40.5%
2024-05-11T00:02:20.236704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
교 1753
 
5.8%
품 1434
 
4.7%
문 1319
 
4.4%
화 1319
 
4.4%
식 1298
 
4.3%
지 1154
 
3.8%
통 904
 
3.0%
육 896
 
3.0%
의 774
 
2.6%
경 753
 
2.5%
Other values (88) 18692
61.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 29603
97.7%
Other Punctuation 387
 
1.3%
Space Separator 306
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
교 1753
 
5.9%
품 1434
 
4.8%
문 1319
 
4.5%
화 1319
 
4.5%
식 1298
 
4.4%
지 1154
 
3.9%
통 904
 
3.1%
육 896
 
3.0%
의 774
 
2.6%
경 753
 
2.5%
Other values (84) 17999
60.8%
Other Punctuation
ValueCountFrequency (%)
? 235
60.7%
/ 138
35.7%
, 14
 
3.6%
Space Separator
ValueCountFrequency (%)
306
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 29603
97.7%
Common 693
 
2.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
교 1753
 
5.9%
품 1434
 
4.8%
문 1319
 
4.5%
화 1319
 
4.5%
식 1298
 
4.4%
지 1154
 
3.9%
통 904
 
3.1%
육 896
 
3.0%
의 774
 
2.6%
경 753
 
2.5%
Other values (84) 17999
60.8%
Common
ValueCountFrequency (%)
306
44.2%
? 235
33.9%
/ 138
19.9%
, 14
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 29603
97.7%
ASCII 693
 
2.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
교 1753
 
5.9%
품 1434
 
4.8%
문 1319
 
4.5%
화 1319
 
4.5%
식 1298
 
4.4%
지 1154
 
3.9%
통 904
 
3.1%
육 896
 
3.0%
의 774
 
2.6%
경 753
 
2.5%
Other values (84) 17999
60.8%
ASCII
ValueCountFrequency (%)
306
44.2%
? 235
33.9%
/ 138
19.9%
, 14
 
2.0%

태그
Text

Distinct2819
Distinct (%)28.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-11T00:02:21.207134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length192
Median length97
Mean length22.2583
Min length2

Characters and Unicode

Total characters222583
Distinct characters704
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1302 ?
Unique (%)13.0%

Sample

1st row중랑, 공고, 구인, 구직, 모집
2nd row유치원, 유아, 학교, 교육
3rd row복지서비스, 어르신 복지
4th row호텔, 호스텔, 게스트하우스, 여관, 여인숙, 모텔
5th row채용, 일자리, 동작, 공고, 구인, 구직, 구인구직
ValueCountFrequency (%)
학교 478
 
1.1%
유치원 434
 
1.0%
유아 423
 
0.9%
판매 390
 
0.9%
식품 359
 
0.8%
위치 350
 
0.8%
의료 339
 
0.7%
좌표 301
 
0.7%
영화 267
 
0.6%
위생 248
 
0.5%
Other values (5976) 41905
92.1%
2024-05-11T00:02:22.784160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 37565
 
16.9%
35573
 
16.0%
소 2754
 
1.2%
지 2672
 
1.2%
공 2503
 
1.1%
인 2431
 
1.1%
사 2396
 
1.1%
수 2287
 
1.0%
서 2260
 
1.0%
업 2148
 
1.0%
Other values (694) 129994
58.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 146475
65.8%
Other Punctuation 37589
 
16.9%
Space Separator 35573
 
16.0%
Uppercase Letter 1629
 
0.7%
Lowercase Letter 702
 
0.3%
Decimal Number 587
 
0.3%
Dash Punctuation 12
 
< 0.1%
Close Punctuation 7
 
< 0.1%
Open Punctuation 7
 
< 0.1%
Control 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
소 2754
 
1.9%
지 2672
 
1.8%
공 2503
 
1.7%
인 2431
 
1.7%
사 2396
 
1.6%
수 2287
 
1.6%
서 2260
 
1.5%
업 2148
 
1.5%
식 2115
 
1.4%
시 2065
 
1.4%
Other values (629) 122844
83.9%
Uppercase Letter
ValueCountFrequency (%)
C 304
18.7%
D 197
12.1%
V 178
10.9%
P 173
10.6%
T 150
9.2%
I 82
 
5.0%
O 75
 
4.6%
E 72
 
4.4%
S 56
 
3.4%
B 55
 
3.4%
Other values (14) 287
17.6%
Lowercase Letter
ValueCountFrequency (%)
i 158
22.5%
a 66
9.4%
o 58
 
8.3%
s 47
 
6.7%
f 45
 
6.4%
e 42
 
6.0%
w 36
 
5.1%
t 34
 
4.8%
h 31
 
4.4%
c 29
 
4.1%
Other values (12) 156
22.2%
Decimal Number
ValueCountFrequency (%)
1 190
32.4%
2 97
16.5%
9 76
 
12.9%
5 57
 
9.7%
6 44
 
7.5%
3 31
 
5.3%
0 29
 
4.9%
4 24
 
4.1%
8 20
 
3.4%
7 19
 
3.2%
Other Punctuation
ValueCountFrequency (%)
, 37565
99.9%
. 17
 
< 0.1%
? 5
 
< 0.1%
/ 2
 
< 0.1%
Space Separator
ValueCountFrequency (%)
35573
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Control
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 146475
65.8%
Common 73777
33.1%
Latin 2331
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
소 2754
 
1.9%
지 2672
 
1.8%
공 2503
 
1.7%
인 2431
 
1.7%
사 2396
 
1.6%
수 2287
 
1.6%
서 2260
 
1.5%
업 2148
 
1.5%
식 2115
 
1.4%
시 2065
 
1.4%
Other values (629) 122844
83.9%
Latin
ValueCountFrequency (%)
C 304
 
13.0%
D 197
 
8.5%
V 178
 
7.6%
P 173
 
7.4%
i 158
 
6.8%
T 150
 
6.4%
I 82
 
3.5%
O 75
 
3.2%
E 72
 
3.1%
a 66
 
2.8%
Other values (36) 876
37.6%
Common
ValueCountFrequency (%)
, 37565
50.9%
35573
48.2%
1 190
 
0.3%
2 97
 
0.1%
9 76
 
0.1%
5 57
 
0.1%
6 44
 
0.1%
3 31
 
< 0.1%
0 29
 
< 0.1%
4 24
 
< 0.1%
Other values (9) 91
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 146474
65.8%
ASCII 76108
34.2%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 37565
49.4%
35573
46.7%
C 304
 
0.4%
D 197
 
0.3%
1 190
 
0.2%
V 178
 
0.2%
P 173
 
0.2%
i 158
 
0.2%
T 150
 
0.2%
2 97
 
0.1%
Other values (55) 1523
 
2.0%
Hangul
ValueCountFrequency (%)
소 2754
 
1.9%
지 2672
 
1.8%
공 2503
 
1.7%
인 2431
 
1.7%
사 2396
 
1.6%
수 2287
 
1.6%
서 2260
 
1.5%
업 2148
 
1.5%
식 2115
 
1.4%
시 2065
 
1.4%
Other values (628) 122843
83.9%
Compat Jamo
ValueCountFrequency (%)
ㅁ 1
100.0%

제공기관
Text

Distinct58
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-11T00:02:23.468669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length14
Mean length4.0801
Min length2

Characters and Unicode

Total characters40801
Distinct characters136
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8 ?
Unique (%)0.1%

Sample

1st row중랑구
2nd row한국교육학술정보원
3rd row서울특별시
4th row은평구
5th row동작구
ValueCountFrequency (%)
서울특별시 4227
42.2%
강북구 265
 
2.6%
양천구 256
 
2.6%
강동구 252
 
2.5%
강남구 236
 
2.4%
도봉구 234
 
2.3%
강서구 228
 
2.3%
중랑구 225
 
2.2%
중구 225
 
2.2%
성동구 220
 
2.2%
Other values (51) 3658
36.5%
2024-05-11T00:02:24.937156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
구 5604
13.7%
서 5165
12.7%
울 4556
11.2%
시 4374
10.7%
특 4282
10.5%
별 4282
10.5%
강 996
 
2.4%
동 887
 
2.2%
천 468
 
1.1%
북 461
 
1.1%
Other values (126) 9726
23.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 40718
99.8%
Uppercase Letter 31
 
0.1%
Space Separator 29
 
0.1%
Decimal Number 15
 
< 0.1%
Open Punctuation 4
 
< 0.1%
Close Punctuation 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 5604
13.8%
서 5165
12.7%
울 4556
11.2%
시 4374
10.7%
특 4282
10.5%
별 4282
10.5%
강 996
 
2.4%
동 887
 
2.2%
천 468
 
1.1%
북 461
 
1.1%
Other values (115) 9643
23.7%
Uppercase Letter
ValueCountFrequency (%)
S 11
35.5%
B 7
22.6%
H 6
19.4%
T 5
16.1%
C 2
 
6.5%
Decimal Number
ValueCountFrequency (%)
1 5
33.3%
2 5
33.3%
0 5
33.3%
Space Separator
ValueCountFrequency (%)
29
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 40718
99.8%
Common 52
 
0.1%
Latin 31
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 5604
13.8%
서 5165
12.7%
울 4556
11.2%
시 4374
10.7%
특 4282
10.5%
별 4282
10.5%
강 996
 
2.4%
동 887
 
2.2%
천 468
 
1.1%
북 461
 
1.1%
Other values (115) 9643
23.7%
Common
ValueCountFrequency (%)
29
55.8%
1 5
 
9.6%
2 5
 
9.6%
0 5
 
9.6%
( 4
 
7.7%
) 4
 
7.7%
Latin
ValueCountFrequency (%)
S 11
35.5%
B 7
22.6%
H 6
19.4%
T 5
16.1%
C 2
 
6.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 40718
99.8%
ASCII 83
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
구 5604
13.8%
서 5165
12.7%
울 4556
11.2%
시 4374
10.7%
특 4282
10.5%
별 4282
10.5%
강 996
 
2.4%
동 887
 
2.2%
천 468
 
1.1%
북 461
 
1.1%
Other values (115) 9643
23.7%
ASCII
ValueCountFrequency (%)
29
34.9%
S 11
 
13.3%
B 7
 
8.4%
H 6
 
7.2%
1 5
 
6.0%
2 5
 
6.0%
T 5
 
6.0%
0 5
 
6.0%
( 4
 
4.8%
) 4
 
4.8%

제공부서
Text

Distinct484
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-11T00:02:25.804505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length24
Mean length13.8063
Min length3

Characters and Unicode

Total characters138063
Distinct characters243
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique135 ?
Unique (%)1.4%

Sample

1st row중랑구 행정국 행정지원과
2nd row한국교육학술정보원
3rd row디지털정책관 빅데이터담당관
4th row스마트도시정책관 빅데이터담당관
5th row동작구 운영지원과
ValueCountFrequency (%)
빅데이터담당관 4531
20.9%
디지털정책관 2457
 
11.3%
스마트도시정책관 2347
 
10.8%
보건소 746
 
3.4%
한국교육학술정보원 482
 
2.2%
기후환경본부 310
 
1.4%
보건위생과 294
 
1.4%
대기정책과 260
 
1.2%
도시교통실 258
 
1.2%
교통기획관 221
 
1.0%
Other values (456) 9800
45.1%
2024-05-11T00:02:27.446659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
11709
 
8.5%
관 11496
 
8.3%
정 8177
 
5.9%
책 6166
 
4.5%
당 5044
 
3.7%
담 5044
 
3.7%
터 4789
 
3.5%
이 4658
 
3.4%
데 4639
 
3.4%
빅 4630
 
3.4%
Other values (233) 71711
51.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 126245
91.4%
Space Separator 11709
 
8.5%
Uppercase Letter 51
 
< 0.1%
Decimal Number 30
 
< 0.1%
Math Symbol 20
 
< 0.1%
Other Punctuation 8
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
관 11496
 
9.1%
정 8177
 
6.5%
책 6166
 
4.9%
당 5044
 
4.0%
담 5044
 
4.0%
터 4789
 
3.8%
이 4658
 
3.7%
데 4639
 
3.7%
빅 4630
 
3.7%
과 3834
 
3.0%
Other values (219) 67768
53.7%
Uppercase Letter
ValueCountFrequency (%)
I 11
21.6%
C 8
15.7%
E 8
15.7%
M 8
15.7%
X 5
9.8%
D 5
9.8%
T 3
 
5.9%
O 3
 
5.9%
Decimal Number
ValueCountFrequency (%)
1 18
60.0%
2 9
30.0%
3 3
 
10.0%
Space Separator
ValueCountFrequency (%)
11709
100.0%
Math Symbol
ValueCountFrequency (%)
> 20
100.0%
Other Punctuation
ValueCountFrequency (%)
? 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 126245
91.4%
Common 11767
 
8.5%
Latin 51
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
관 11496
 
9.1%
정 8177
 
6.5%
책 6166
 
4.9%
당 5044
 
4.0%
담 5044
 
4.0%
터 4789
 
3.8%
이 4658
 
3.7%
데 4639
 
3.7%
빅 4630
 
3.7%
과 3834
 
3.0%
Other values (219) 67768
53.7%
Latin
ValueCountFrequency (%)
I 11
21.6%
C 8
15.7%
E 8
15.7%
M 8
15.7%
X 5
9.8%
D 5
9.8%
T 3
 
5.9%
O 3
 
5.9%
Common
ValueCountFrequency (%)
11709
99.5%
> 20
 
0.2%
1 18
 
0.2%
2 9
 
0.1%
? 8
 
0.1%
3 3
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 126245
91.4%
ASCII 11818
 
8.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
11709
99.1%
> 20
 
0.2%
1 18
 
0.2%
I 11
 
0.1%
2 9
 
0.1%
? 8
 
0.1%
C 8
 
0.1%
E 8
 
0.1%
M 8
 
0.1%
X 5
 
< 0.1%
Other values (4) 14
 
0.1%
Hangul
ValueCountFrequency (%)
관 11496
 
9.1%
정 8177
 
6.5%
책 6166
 
4.9%
당 5044
 
4.0%
담 5044
 
4.0%
터 4789
 
3.8%
이 4658
 
3.7%
데 4639
 
3.7%
빅 4630
 
3.7%
과 3834
 
3.0%
Other values (219) 67768
53.7%

담당자명
Text

Distinct871
Distinct (%)8.7%
Missing6
Missing (%)0.1%
Memory size156.2 KiB
2024-05-11T00:02:28.560006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length3
Mean length4.7721633
Min length1

Characters and Unicode

Total characters47693
Distinct characters213
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique269 ?
Unique (%)2.7%

Sample

1st row안서영
2nd row서울특별시교육청
3rd row최성용
4th row은평구 대표전화
5th row김도현
ValueCountFrequency (%)
대표전화 3092
23.6%
원은묵 711
 
5.4%
김지연 567
 
4.3%
최성용 499
 
3.8%
전연욱 305
 
2.3%
강북구 249
 
1.9%
강동구 230
 
1.8%
강남구 219
 
1.7%
이경옥 214
 
1.6%
도봉구 213
 
1.6%
Other values (865) 6787
51.9%
2024-05-11T00:02:30.509722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
전 3426
 
7.2%
대 3279
 
6.9%
화 3197
 
6.7%
3106
 
6.5%
구 3100
 
6.5%
표 3094
 
6.5%
김 1595
 
3.3%
원 1429
 
3.0%
지 1185
 
2.5%
성 1104
 
2.3%
Other values (203) 23178
48.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 44579
93.5%
Space Separator 3106
 
6.5%
Close Punctuation 3
 
< 0.1%
Open Punctuation 3
 
< 0.1%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 3426
 
7.7%
대 3279
 
7.4%
화 3197
 
7.2%
구 3100
 
7.0%
표 3094
 
6.9%
김 1595
 
3.6%
원 1429
 
3.2%
지 1185
 
2.7%
성 1104
 
2.5%
연 1074
 
2.4%
Other values (199) 22096
49.6%
Space Separator
ValueCountFrequency (%)
3106
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 44579
93.5%
Common 3114
 
6.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 3426
 
7.7%
대 3279
 
7.4%
화 3197
 
7.2%
구 3100
 
7.0%
표 3094
 
6.9%
김 1595
 
3.6%
원 1429
 
3.2%
지 1185
 
2.7%
성 1104
 
2.5%
연 1074
 
2.4%
Other values (199) 22096
49.6%
Common
ValueCountFrequency (%)
3106
99.7%
) 3
 
0.1%
( 3
 
0.1%
, 2
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 44579
93.5%
ASCII 3114
 
6.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
전 3426
 
7.7%
대 3279
 
7.4%
화 3197
 
7.2%
구 3100
 
7.0%
표 3094
 
6.9%
김 1595
 
3.6%
원 1429
 
3.2%
지 1185
 
2.7%
성 1104
 
2.5%
연 1074
 
2.4%
Other values (199) 22096
49.6%
ASCII
ValueCountFrequency (%)
3106
99.7%
) 3
 
0.1%
( 3
 
0.1%
, 2
 
0.1%

담당자연락처
Text

Distinct935
Distinct (%)9.4%
Missing52
Missing (%)0.5%
Memory size156.2 KiB
2024-05-11T00:02:31.494994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length12
Mean length11.820869
Min length6

Characters and Unicode

Total characters117594
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique330 ?
Unique (%)3.3%

Sample

1st row02-2094-0379
2nd row02-399-9114
3rd row02-2133-4365
4th row02-351-6114
5th row02-820-9193
ValueCountFrequency (%)
02-2133-4366 711
 
7.1%
02-2133-4364 529
 
5.3%
02-2133-4365 392
 
3.9%
02-2133-4368 305
 
3.1%
02-901-6114 249
 
2.5%
02-1577-1188 230
 
2.3%
02-2091-2120 213
 
2.1%
02-3396-4114 211
 
2.1%
02-2133-3597 211
 
2.1%
02-2286-5114 201
 
2.0%
Other values (923) 6698
67.3%
2024-05-11T00:02:32.948868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 21597
18.4%
- 19850
16.9%
0 15826
13.5%
3 15623
13.3%
1 13717
11.7%
4 8894
7.6%
6 6872
 
5.8%
5 4392
 
3.7%
8 3770
 
3.2%
7 3691
 
3.1%
Other values (3) 3362
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 97724
83.1%
Dash Punctuation 19850
 
16.9%
Space Separator 18
 
< 0.1%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 21597
22.1%
0 15826
16.2%
3 15623
16.0%
1 13717
14.0%
4 8894
9.1%
6 6872
 
7.0%
5 4392
 
4.5%
8 3770
 
3.9%
7 3691
 
3.8%
9 3342
 
3.4%
Dash Punctuation
ValueCountFrequency (%)
- 19850
100.0%
Space Separator
ValueCountFrequency (%)
18
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 117594
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 21597
18.4%
- 19850
16.9%
0 15826
13.5%
3 15623
13.3%
1 13717
11.7%
4 8894
7.6%
6 6872
 
5.8%
5 4392
 
3.7%
8 3770
 
3.2%
7 3691
 
3.1%
Other values (3) 3362
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 117594
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 21597
18.4%
- 19850
16.9%
0 15826
13.5%
3 15623
13.3%
1 13717
11.7%
4 8894
7.6%
6 6872
 
5.8%
5 4392
 
3.7%
8 3770
 
3.2%
7 3691
 
3.1%
Other values (3) 3362
 
2.9%

DATA등록일
Date

Distinct502
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2012-01-03 00:00:00
Maximum2024-05-10 00:00:00
2024-05-11T00:02:33.556733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:02:34.282001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

원본시스템
Text

MISSING 

Distinct427
Distinct (%)5.5%
Missing2208
Missing (%)22.1%
Memory size156.2 KiB
2024-05-11T00:02:35.345796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length26
Mean length12.016684
Min length3

Characters and Unicode

Total characters93634
Distinct characters360
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique114 ?
Unique (%)1.5%

Sample

1st row중랑구 홈페이지
2nd row유치원 알리미
3rd row지방행정 인허가 데이터개방
4th row동작구 홈페이지
5th row공공데이터포탈
ValueCountFrequency (%)
지방행정 3744
20.6%
데이터개방 3744
20.6%
인허가 3744
20.6%
시도행정정보시스템 599
 
3.3%
서울시 495
 
2.7%
유치원 423
 
2.3%
알리미 423
 
2.3%
홈페이지 416
 
2.3%
kosis 260
 
1.4%
국가통계포털 260
 
1.4%
Other values (517) 4093
22.5%
2024-05-11T00:02:37.300010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10590
 
11.3%
방 7574
 
8.1%
정 5527
 
5.9%
지 4784
 
5.1%
이 4512
 
4.8%
행 4369
 
4.7%
가 4048
 
4.3%
터 3995
 
4.3%
데 3871
 
4.1%
개 3845
 
4.1%
Other values (350) 40519
43.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 79297
84.7%
Space Separator 10590
 
11.3%
Uppercase Letter 1855
 
2.0%
Decimal Number 884
 
0.9%
Close Punctuation 285
 
0.3%
Open Punctuation 285
 
0.3%
Other Punctuation 219
 
0.2%
Connector Punctuation 109
 
0.1%
Lowercase Letter 96
 
0.1%
Dash Punctuation 10
 
< 0.1%
Other values (2) 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
방 7574
 
9.6%
정 5527
 
7.0%
지 4784
 
6.0%
이 4512
 
5.7%
행 4369
 
5.5%
가 4048
 
5.1%
터 3995
 
5.0%
데 3871
 
4.9%
개 3845
 
4.8%
인 3842
 
4.8%
Other values (304) 32930
41.5%
Uppercase Letter
ValueCountFrequency (%)
S 647
34.9%
I 303
16.3%
O 299
16.1%
K 260
14.0%
A 83
 
4.5%
P 60
 
3.2%
T 58
 
3.1%
D 30
 
1.6%
N 29
 
1.6%
W 26
 
1.4%
Other values (9) 60
 
3.2%
Decimal Number
ValueCountFrequency (%)
0 435
49.2%
1 224
25.3%
2 221
25.0%
5 1
 
0.1%
8 1
 
0.1%
4 1
 
0.1%
9 1
 
0.1%
Lowercase Letter
ValueCountFrequency (%)
p 70
72.9%
s 6
 
6.2%
b 5
 
5.2%
t 5
 
5.2%
n 5
 
5.2%
e 5
 
5.2%
Close Punctuation
ValueCountFrequency (%)
) 282
98.9%
] 2
 
0.7%
」 1
 
0.4%
Open Punctuation
ValueCountFrequency (%)
( 282
98.9%
[ 2
 
0.7%
「 1
 
0.4%
Other Punctuation
ValueCountFrequency (%)
. 215
98.2%
/ 4
 
1.8%
Math Symbol
ValueCountFrequency (%)
→ 1
50.0%
+ 1
50.0%
Space Separator
ValueCountFrequency (%)
10590
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 109
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%
Control
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 79297
84.7%
Common 12386
 
13.2%
Latin 1951
 
2.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
방 7574
 
9.6%
정 5527
 
7.0%
지 4784
 
6.0%
이 4512
 
5.7%
행 4369
 
5.5%
가 4048
 
5.1%
터 3995
 
5.0%
데 3871
 
4.9%
개 3845
 
4.8%
인 3842
 
4.8%
Other values (304) 32930
41.5%
Latin
ValueCountFrequency (%)
S 647
33.2%
I 303
15.5%
O 299
15.3%
K 260
13.3%
A 83
 
4.3%
p 70
 
3.6%
P 60
 
3.1%
T 58
 
3.0%
D 30
 
1.5%
N 29
 
1.5%
Other values (15) 112
 
5.7%
Common
ValueCountFrequency (%)
10590
85.5%
0 435
 
3.5%
) 282
 
2.3%
( 282
 
2.3%
1 224
 
1.8%
2 221
 
1.8%
. 215
 
1.7%
_ 109
 
0.9%
- 10
 
0.1%
/ 4
 
< 0.1%
Other values (11) 14
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 79297
84.7%
ASCII 14334
 
15.3%
None 2
 
< 0.1%
Arrows 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10590
73.9%
S 647
 
4.5%
0 435
 
3.0%
I 303
 
2.1%
O 299
 
2.1%
) 282
 
2.0%
( 282
 
2.0%
K 260
 
1.8%
1 224
 
1.6%
2 221
 
1.5%
Other values (33) 791
 
5.5%
Hangul
ValueCountFrequency (%)
방 7574
 
9.6%
정 5527
 
7.0%
지 4784
 
6.0%
이 4512
 
5.7%
행 4369
 
5.5%
가 4048
 
5.1%
터 3995
 
5.0%
데 3871
 
4.9%
개 3845
 
4.8%
인 3842
 
4.8%
Other values (304) 32930
41.5%
Arrows
ValueCountFrequency (%)
→ 1
100.0%
None
ValueCountFrequency (%)
」 1
50.0%
「 1
50.0%

원본시스템 링크
Text

MISSING 

Distinct393
Distinct (%)5.6%
Missing2923
Missing (%)29.2%
Memory size156.2 KiB
2024-05-11T00:02:39.585969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length298
Median length19
Mean length25.410767
Min length1

Characters and Unicode

Total characters179832
Distinct characters79
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique137 ?
Unique (%)1.9%

Sample

1st rowhttps://www.jungnang.go.kr/portal/bbs/list/B0000118.do?menuNo=200476
2nd rowhttps://e-childschoolinfo.moe.go.kr
3rd rowhttps://news.seoul.go.kr/welfare/?p=530461
4th rowhttp://localdata.kr
5th rowhttp://www.dongjak.go.kr
ValueCountFrequency (%)
http://localdata.kr 3744
52.9%
https://e-childschoolinfo.moe.go.kr 423
 
6.0%
https://news.seoul.go.kr/welfare/?p=530461 366
 
5.2%
http://kosis.kr/index/index.do 293
 
4.1%
http://yeyak.seoul.go.kr 187
 
2.6%
http://urban.seoul.go.kr 109
 
1.5%
http://golmok.seoul.go.kr 97
 
1.4%
https://open.neis.go.kr 85
 
1.2%
http://swo.seoul.go.kr 51
 
0.7%
http://www.seoulmetro.co.kr 49
 
0.7%
Other values (365) 1677
23.7%
2024-05-11T00:02:42.407506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
t 19283
 
10.7%
/ 17319
 
9.6%
a 14188
 
7.9%
. 13738
 
7.6%
o 12648
 
7.0%
l 11590
 
6.4%
r 8470
 
4.7%
h 8305
 
4.6%
p 8242
 
4.6%
k 7919
 
4.4%
Other values (69) 58130
32.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 135119
75.1%
Other Punctuation 38792
 
21.6%
Decimal Number 3493
 
1.9%
Uppercase Letter 909
 
0.5%
Math Symbol 661
 
0.4%
Dash Punctuation 530
 
0.3%
Space Separator 194
 
0.1%
Connector Punctuation 88
 
< 0.1%
Other Letter 45
 
< 0.1%
Control 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 19283
14.3%
a 14188
10.5%
o 12648
 
9.4%
l 11590
 
8.6%
r 8470
 
6.3%
h 8305
 
6.1%
p 8242
 
6.1%
k 7919
 
5.9%
s 6568
 
4.9%
e 6270
 
4.6%
Other values (16) 31636
23.4%
Uppercase Letter
ValueCountFrequency (%)
M 105
11.6%
P 91
10.0%
C 90
9.9%
D 89
9.8%
I 87
9.6%
U 83
9.1%
A 81
8.9%
N 59
6.5%
S 56
6.2%
L 37
 
4.1%
Other values (12) 131
14.4%
Decimal Number
ValueCountFrequency (%)
0 696
19.9%
1 676
19.4%
3 453
13.0%
5 441
12.6%
4 438
12.5%
6 426
12.2%
2 119
 
3.4%
7 103
 
2.9%
9 96
 
2.7%
8 45
 
1.3%
Other Letter
ValueCountFrequency (%)
스 5
11.1%
템 5
11.1%
빅 5
11.1%
시 5
11.1%
용 5
11.1%
활 5
11.1%
터 5
11.1%
이 5
11.1%
데 5
11.1%
Other Punctuation
ValueCountFrequency (%)
/ 17319
44.6%
. 13738
35.4%
: 7070
18.2%
? 456
 
1.2%
& 205
 
0.5%
# 3
 
< 0.1%
% 1
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
= 661
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 530
100.0%
Space Separator
ValueCountFrequency (%)
194
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 88
100.0%
Control
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 136028
75.6%
Common 43759
 
24.3%
Hangul 45
 
< 0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 19283
14.2%
a 14188
10.4%
o 12648
 
9.3%
l 11590
 
8.5%
r 8470
 
6.2%
h 8305
 
6.1%
p 8242
 
6.1%
k 7919
 
5.8%
s 6568
 
4.8%
e 6270
 
4.6%
Other values (38) 32545
23.9%
Common
ValueCountFrequency (%)
/ 17319
39.6%
. 13738
31.4%
: 7070
16.2%
0 696
 
1.6%
1 676
 
1.5%
= 661
 
1.5%
- 530
 
1.2%
? 456
 
1.0%
3 453
 
1.0%
5 441
 
1.0%
Other values (12) 1719
 
3.9%
Hangul
ValueCountFrequency (%)
스 5
11.1%
템 5
11.1%
빅 5
11.1%
시 5
11.1%
용 5
11.1%
활 5
11.1%
터 5
11.1%
이 5
11.1%
데 5
11.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 179787
> 99.9%
Hangul 45
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
t 19283
 
10.7%
/ 17319
 
9.6%
a 14188
 
7.9%
. 13738
 
7.6%
o 12648
 
7.0%
l 11590
 
6.4%
r 8470
 
4.7%
h 8305
 
4.6%
p 8242
 
4.6%
k 7919
 
4.4%
Other values (60) 58085
32.3%
Hangul
ValueCountFrequency (%)
스 5
11.1%
템 5
11.1%
빅 5
11.1%
시 5
11.1%
용 5
11.1%
활 5
11.1%
터 5
11.1%
이 5
11.1%
데 5
11.1%

저작권자명
Text

MISSING 

Distinct337
Distinct (%)3.4%
Missing169
Missing (%)1.7%
Memory size156.2 KiB
2024-05-11T00:02:43.404650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length37
Mean length9.0487234
Min length2

Characters and Unicode

Total characters88958
Distinct characters283
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique72 ?
Unique (%)0.7%

Sample

1st row중랑구청
2nd row한국교육학술정보원
3rd row서울특별시 복지정책실 복지기획관 복지정책과 (백현기)
4th row서울특별시 은평구
5th row동작구청
ValueCountFrequency (%)
서울특별시 7554
43.4%
복지정책실 432
 
2.5%
복지기획관 421
 
2.4%
복지정책과 402
 
2.3%
백현기 384
 
2.2%
디지털정책관 318
 
1.8%
통계청 294
 
1.7%
강북구 233
 
1.3%
강남구 199
 
1.1%
도봉구 194
 
1.1%
Other values (342) 6989
40.1%
2024-05-11T00:02:45.427531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
서 8499
 
9.6%
시 8152
 
9.2%
울 7961
 
8.9%
특 7644
 
8.6%
별 7643
 
8.6%
7627
 
8.6%
구 5293
 
5.9%
지 1784
 
2.0%
정 1701
 
1.9%
책 1472
 
1.7%
Other values (273) 31182
35.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 79006
88.8%
Space Separator 7627
 
8.6%
Decimal Number 1179
 
1.3%
Open Punctuation 397
 
0.4%
Close Punctuation 397
 
0.4%
Dash Punctuation 234
 
0.3%
Other Punctuation 50
 
0.1%
Lowercase Letter 42
 
< 0.1%
Uppercase Letter 23
 
< 0.1%
Other Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 8499
 
10.8%
시 8152
 
10.3%
울 7961
 
10.1%
특 7644
 
9.7%
별 7643
 
9.7%
구 5293
 
6.7%
지 1784
 
2.3%
정 1701
 
2.2%
책 1472
 
1.9%
관 1409
 
1.8%
Other values (239) 27448
34.7%
Lowercase Letter
ValueCountFrequency (%)
e 8
19.0%
o 8
19.0%
l 6
14.3%
t 4
9.5%
s 4
9.5%
u 4
9.5%
h 2
 
4.8%
r 2
 
4.8%
p 2
 
4.8%
i 2
 
4.8%
Decimal Number
ValueCountFrequency (%)
3 452
38.3%
2 234
19.8%
1 125
 
10.6%
0 117
 
9.9%
9 117
 
9.9%
8 109
 
9.2%
7 16
 
1.4%
4 9
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
S 8
34.8%
H 6
26.1%
M 2
 
8.7%
K 2
 
8.7%
T 2
 
8.7%
P 1
 
4.3%
O 1
 
4.3%
N 1
 
4.3%
Other Punctuation
ValueCountFrequency (%)
, 34
68.0%
: 8
 
16.0%
/ 8
 
16.0%
Space Separator
ValueCountFrequency (%)
7627
100.0%
Open Punctuation
ValueCountFrequency (%)
( 397
100.0%
Close Punctuation
ValueCountFrequency (%)
) 397
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 234
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 79009
88.8%
Common 9884
 
11.1%
Latin 65
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 8499
 
10.8%
시 8152
 
10.3%
울 7961
 
10.1%
특 7644
 
9.7%
별 7643
 
9.7%
구 5293
 
6.7%
지 1784
 
2.3%
정 1701
 
2.2%
책 1472
 
1.9%
관 1409
 
1.8%
Other values (240) 27451
34.7%
Latin
ValueCountFrequency (%)
e 8
12.3%
S 8
12.3%
o 8
12.3%
l 6
9.2%
H 6
9.2%
t 4
 
6.2%
s 4
 
6.2%
u 4
 
6.2%
h 2
 
3.1%
M 2
 
3.1%
Other values (8) 13
20.0%
Common
ValueCountFrequency (%)
7627
77.2%
3 452
 
4.6%
( 397
 
4.0%
) 397
 
4.0%
2 234
 
2.4%
- 234
 
2.4%
1 125
 
1.3%
0 117
 
1.2%
9 117
 
1.2%
8 109
 
1.1%
Other values (5) 75
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 79006
88.8%
ASCII 9949
 
11.2%
None 3
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
서 8499
 
10.8%
시 8152
 
10.3%
울 7961
 
10.1%
특 7644
 
9.7%
별 7643
 
9.7%
구 5293
 
6.7%
지 1784
 
2.3%
정 1701
 
2.2%
책 1472
 
1.9%
관 1409
 
1.8%
Other values (239) 27448
34.7%
ASCII
ValueCountFrequency (%)
7627
76.7%
3 452
 
4.5%
( 397
 
4.0%
) 397
 
4.0%
2 234
 
2.4%
- 234
 
2.4%
1 125
 
1.3%
0 117
 
1.2%
9 117
 
1.2%
8 109
 
1.1%
Other values (23) 140
 
1.4%
None
ValueCountFrequency (%)
㈜ 3
100.0%

저작권자연락처
Text

MISSING 

Distinct599
Distinct (%)7.1%
Missing1505
Missing (%)15.0%
Memory size156.2 KiB
2024-05-11T00:02:46.494683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length12
Mean length11.788817
Min length4

Characters and Unicode

Total characters100146
Distinct characters33
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

Unique174 ?
Unique (%)2.0%

Sample

1st row02-2094-0377
2nd row02-2133-7749
3rd row02-351-6114
4th row02-820-1643
5th row02-2094-0114
ValueCountFrequency (%)
02-2133-7749 384
 
4.5%
02-2133-4286 247
 
2.9%
02-2133-3597 208
 
2.4%
02-3153-8114 188
 
2.2%
02-2091-2120 188
 
2.2%
02-2133-4290 185
 
2.2%
02-450-1114 183
 
2.2%
02-2094-0114 177
 
2.1%
02-3423-5114 177
 
2.1%
02-1577-1188 176
 
2.1%
Other values (584) 6382
75.1%
2024-05-11T00:02:48.195574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 19197
19.2%
- 16894
16.9%
1 14638
14.6%
0 13593
13.6%
3 10523
10.5%
4 7506
 
7.5%
6 4018
 
4.0%
7 4013
 
4.0%
5 3489
 
3.5%
9 3439
 
3.4%
Other values (23) 2836
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 83190
83.1%
Dash Punctuation 16894
 
16.9%
Space Separator 33
 
< 0.1%
Lowercase Letter 16
 
< 0.1%
Other Punctuation 6
 
< 0.1%
Other Letter 4
 
< 0.1%
Control 3
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 2
12.5%
l 2
12.5%
o 2
12.5%
r 1
 
6.2%
u 1
 
6.2%
k 1
 
6.2%
g 1
 
6.2%
e 1
 
6.2%
s 1
 
6.2%
b 1
 
6.2%
Other values (3) 3
18.8%
Decimal Number
ValueCountFrequency (%)
2 19197
23.1%
1 14638
17.6%
0 13593
16.3%
3 10523
12.6%
4 7506
 
9.0%
6 4018
 
4.8%
7 4013
 
4.8%
5 3489
 
4.2%
9 3439
 
4.1%
8 2774
 
3.3%
Other Letter
ValueCountFrequency (%)
울 1
25.0%
시 1
25.0%
서 1
25.0%
청 1
25.0%
Other Punctuation
ValueCountFrequency (%)
. 3
50.0%
/ 2
33.3%
: 1
 
16.7%
Dash Punctuation
ValueCountFrequency (%)
- 16894
100.0%
Space Separator
ValueCountFrequency (%)
33
100.0%
Control
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 100126
> 99.9%
Latin 16
 
< 0.1%
Hangul 4
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
2 19197
19.2%
- 16894
16.9%
1 14638
14.6%
0 13593
13.6%
3 10523
10.5%
4 7506
 
7.5%
6 4018
 
4.0%
7 4013
 
4.0%
5 3489
 
3.5%
9 3439
 
3.4%
Other values (6) 2816
 
2.8%
Latin
ValueCountFrequency (%)
t 2
12.5%
l 2
12.5%
o 2
12.5%
r 1
 
6.2%
u 1
 
6.2%
k 1
 
6.2%
g 1
 
6.2%
e 1
 
6.2%
s 1
 
6.2%
b 1
 
6.2%
Other values (3) 3
18.8%
Hangul
ValueCountFrequency (%)
울 1
25.0%
시 1
25.0%
서 1
25.0%
청 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 100142
> 99.9%
Hangul 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 19197
19.2%
- 16894
16.9%
1 14638
14.6%
0 13593
13.6%
3 10523
10.5%
4 7506
 
7.5%
6 4018
 
4.0%
7 4013
 
4.0%
5 3489
 
3.5%
9 3439
 
3.4%
Other values (19) 2832
 
2.8%
Hangul
ValueCountFrequency (%)
울 1
25.0%
시 1
25.0%
서 1
25.0%
청 1
25.0%

제3저작권자
Categorical

IMBALANCE 

Distinct22
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9924 
02-2133-5533
 
21
guddei89@seoul.go.kr
 
13
지창원
 
7
02-3706-1413
 
4
Other values (17)
 
31

Length

Max length26
Median length4
Mean length4.0728
Min length3

Unique

Unique7 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 9924
99.2%
02-2133-5533 21
 
0.2%
guddei89@seoul.go.kr 13
 
0.1%
지창원 7
 
0.1%
02-3706-1413 4
 
< 0.1%
02-3708-2383 4
 
< 0.1%
02-2133-2754 3
 
< 0.1%
20-2133-5533 3
 
< 0.1%
2133-3841 2
 
< 0.1%
서울시설공단(담당자 : 2290-6084) 2
 
< 0.1%
Other values (12) 17
 
0.2%

Length

2024-05-11T00:02:49.131571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 9924
99.0%
02-2133-5533 21
 
0.2%
guddei89@seoul.go.kr 13
 
0.1%
지창원 7
 
0.1%
02-3706-1413 4
 
< 0.1%
02-3708-2383 4
 
< 0.1%
02-2133-2754 3
 
< 0.1%
20-2133-5533 3
 
< 0.1%
02-2133-5372 2
 
< 0.1%
청소년담당관 2
 
< 0.1%
Other values (28) 38
 
0.4%

원본형태
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
DB
9064 
FILE
922 
모름
 
14

Length

Max length4
Median length2
Mean length2.1844
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
DB 9064
90.6%
FILE 922
 
9.2%
모름 14
 
0.1%

Length

2024-05-11T00:02:49.584777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:02:49.998739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
db 9064
90.6%
file 922
 
9.2%
모름 14
 
0.1%

갱신주기
Text

Distinct101
Distinct (%)1.0%
Missing26
Missing (%)0.3%
Memory size156.2 KiB
2024-05-11T00:02:50.538209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length2
Mean length5.1257269
Min length2

Characters and Unicode

Total characters51124
Distinct characters71
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique14 ?
Unique (%)0.1%

Sample

1st row비정기(자료변경시)
2nd row수시(월간)
3rd row2년
4th row매일
5th row비정기(수시, 자료변경시)
ValueCountFrequency (%)
매일 3784
32.7%
정기(매년 1497
 
12.9%
자료변경시 1123
 
9.7%
비정기(수시 1003
 
8.7%
비정기(자료변경시 638
 
5.5%
수시(월간 525
 
4.5%
수시 499
 
4.3%
2년 367
 
3.2%
일회성 198
 
1.7%
주기없음 186
 
1.6%
Other values (91) 1750
15.1%
2024-05-11T00:02:51.702693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
매 5689
 
11.1%
일 4276
 
8.4%
) 4065
 
8.0%
( 4065
 
8.0%
기 3971
 
7.8%
시 3888
 
7.6%
정 3556
 
7.0%
년 2295
 
4.5%
수 2066
 
4.0%
료 1947
 
3.8%
Other values (61) 15306
29.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 38588
75.5%
Close Punctuation 4065
 
8.0%
Open Punctuation 4065
 
8.0%
Space Separator 1596
 
3.1%
Decimal Number 1592
 
3.1%
Other Punctuation 1209
 
2.4%
Dash Punctuation 6
 
< 0.1%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
매 5689
14.7%
일 4276
11.1%
기 3971
10.3%
시 3888
10.1%
정 3556
9.2%
년 2295
 
5.9%
수 2066
 
5.4%
료 1947
 
5.0%
경 1794
 
4.6%
변 1792
 
4.6%
Other values (43) 7314
19.0%
Decimal Number
ValueCountFrequency (%)
2 655
41.1%
1 414
26.0%
0 292
18.3%
5 58
 
3.6%
6 43
 
2.7%
3 39
 
2.4%
4 36
 
2.3%
7 20
 
1.3%
8 18
 
1.1%
9 17
 
1.1%
Other Punctuation
ValueCountFrequency (%)
, 1028
85.0%
* 171
 
14.1%
/ 10
 
0.8%
Close Punctuation
ValueCountFrequency (%)
) 4065
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4065
100.0%
Space Separator
ValueCountFrequency (%)
1596
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 38588
75.5%
Common 12536
 
24.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
매 5689
14.7%
일 4276
11.1%
기 3971
10.3%
시 3888
10.1%
정 3556
9.2%
년 2295
 
5.9%
수 2066
 
5.4%
료 1947
 
5.0%
경 1794
 
4.6%
변 1792
 
4.6%
Other values (43) 7314
19.0%
Common
ValueCountFrequency (%)
) 4065
32.4%
( 4065
32.4%
1596
 
12.7%
, 1028
 
8.2%
2 655
 
5.2%
1 414
 
3.3%
0 292
 
2.3%
* 171
 
1.4%
5 58
 
0.5%
6 43
 
0.3%
Other values (8) 149
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 38588
75.5%
ASCII 12536
 
24.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
매 5689
14.7%
일 4276
11.1%
기 3971
10.3%
시 3888
10.1%
정 3556
9.2%
년 2295
 
5.9%
수 2066
 
5.4%
료 1947
 
5.0%
경 1794
 
4.6%
변 1792
 
4.6%
Other values (43) 7314
19.0%
ASCII
ValueCountFrequency (%)
) 4065
32.4%
( 4065
32.4%
1596
 
12.7%
, 1028
 
8.2%
2 655
 
5.2%
1 414
 
3.3%
0 292
 
2.3%
* 171
 
1.4%
5 58
 
0.5%
6 43
 
0.3%
Other values (8) 149
 
1.2%

이용허락조건 코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2001
9557 
2004
 
384
2003
 
49
2002
 
10

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2004
2nd row2001
3rd row2001
4th row2001
5th row2004

Common Values

ValueCountFrequency (%)
2001 9557
95.6%
2004 384
 
3.8%
2003 49
 
0.5%
2002 10
 
0.1%

Length

2024-05-11T00:02:52.139547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:02:52.460782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2001 9557
95.6%
2004 384
 
3.8%
2003 49
 
0.5%
2002 10
 
0.1%

이용허락조건
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
BY-NC-ND
10000 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowBY-NC-ND
2nd rowBY-NC-ND
3rd rowBY-NC-ND
4th rowBY-NC-ND
5th rowBY-NC-ND

Common Values

ValueCountFrequency (%)
BY-NC-ND 10000
100.0%

Length

2024-05-11T00:02:52.763985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:02:53.060682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
by-nc-nd 10000
100.0%

서비스유형
Categorical

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
SHEET
4568 
OPENAPI
3498 
CHART
1169 
FILE
560 
MAP
 
72
Other values (2)
 
133

Length

Max length7
Median length5
Mean length5.6094
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowSHEET
2nd rowSHEET
3rd rowCHART
4th rowOPENAPI
5th rowOPENAPI

Common Values

ValueCountFrequency (%)
SHEET 4568
45.7%
OPENAPI 3498
35.0%
CHART 1169
 
11.7%
FILE 560
 
5.6%
MAP 72
 
0.7%
LINK 68
 
0.7%
LOD 65
 
0.7%

Length

2024-05-11T00:02:53.396365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:02:53.755228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
sheet 4568
45.7%
openapi 3498
35.0%
chart 1169
 
11.7%
file 560
 
5.6%
map 72
 
0.7%
link 68
 
0.7%
lod 65
 
0.7%

서비스설명
Text

Distinct5842
Distinct (%)58.4%
Missing2
Missing (%)< 0.1%
Memory size156.2 KiB
2024-05-11T00:02:54.232949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length644
Median length297
Mean length110.79486
Min length9

Characters and Unicode

Total characters1107727
Distinct characters842
Distinct categories16 ?
Distinct scripts5 ?
Distinct blocks12 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3128 ?
Unique (%)31.3%

Sample

1st row중랑구청 채용정보로 제목, 담당부서, 담당자, 전화번호, 등록일, 내용 정보를 제공합니다.
2nd row서울특별시 소재 유치원 기본정보 유지원명, 소재지, 주소, 전화번호, 홈페이지주소 등 현황입니다. 유치원알리미(https://e-childschoolinfo.moe.go.kr) 에서 제공되는 자료입니다.
3rd row서울시민 삶의 질적 수준, 복지 수요, 복지서비스 이용실태 등을 파악하여 서울시 복지정책 수립을 위한 기초자료 제공
4th row은평구의 여관, 여인숙, 호텔 등 잠을 자고 머물수 있도록 시설 및 설비 등의 서비스를 제공하는 업소 정보 * 좌표안내 : 중부원점TM(EPSG:2097) 좌표계에 따른 해당위치의 좌표정보이며 위경도 좌표는 제공하고 있지 않음 * 본 데이터는 3일전 자료를 제공합니다.
5th row동작구에서 제공하는 취업정보로 제목, 담당부서, 담당자, 전화번호, 등록일, 내용 정보를 제공합니다.
ValueCountFrequency (%)
11818
 
5.4%
제공합니다 4888
 
2.2%
데이터는 4425
 
2.0%
제공하는 4200
 
1.9%
본 4129
 
1.9%
있지 3965
 
1.8%
제공하고 3758
 
1.7%
따른 3753
 
1.7%
자료를 3750
 
1.7%
위경도 3740
 
1.7%
Other values (10454) 172211
78.1%
2024-05-11T00:02:55.425350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
217929
 
19.7%
는 19946
 
1.8%
정 19885
 
1.8%
공 18623
 
1.7%
보 17970
 
1.6%
제 17082
 
1.5%
하 16974
 
1.5%
표 15932
 
1.4%
좌 15579
 
1.4%
의 15368
 
1.4%
Other values (832) 732439
66.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 725737
65.5%
Space Separator 217929
 
19.7%
Other Punctuation 50328
 
4.5%
Decimal Number 33613
 
3.0%
Uppercase Letter 30222
 
2.7%
Lowercase Letter 30107
 
2.7%
Close Punctuation 8292
 
0.7%
Open Punctuation 8277
 
0.7%
Dash Punctuation 1623
 
0.1%
Math Symbol 970
 
0.1%
Other values (6) 629
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
는 19946
 
2.7%
정 19885
 
2.7%
공 18623
 
2.6%
보 17970
 
2.5%
제 17082
 
2.4%
하 16974
 
2.3%
표 15932
 
2.2%
좌 15579
 
2.1%
의 15368
 
2.1%
이 14993
 
2.1%
Other values (722) 553385
76.3%
Lowercase Letter
ValueCountFrequency (%)
o 3719
12.4%
e 2932
 
9.7%
s 2437
 
8.1%
h 2220
 
7.4%
t 2066
 
6.9%
r 1961
 
6.5%
i 1820
 
6.0%
p 1413
 
4.7%
l 1402
 
4.7%
c 1371
 
4.6%
Other values (17) 8766
29.1%
Uppercase Letter
ValueCountFrequency (%)
S 4990
16.5%
T 4424
14.6%
G 4401
14.6%
P 4200
13.9%
E 4018
13.3%
M 3933
13.0%
I 613
 
2.0%
U 609
 
2.0%
A 528
 
1.7%
F 389
 
1.3%
Other values (15) 2117
7.0%
Other Punctuation
ValueCountFrequency (%)
. 15106
30.0%
, 12581
25.0%
: 8904
17.7%
* 7542
15.0%
/ 2545
 
5.1%
※ 1783
 
3.5%
? 997
 
2.0%
' 822
 
1.6%
& 20
 
< 0.1%
# 12
 
< 0.1%
Other values (2) 16
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
0 6604
19.6%
2 6228
18.5%
3 5238
15.6%
9 4701
14.0%
7 4226
12.6%
1 3111
9.3%
8 1373
 
4.1%
4 1108
 
3.3%
5 652
 
1.9%
6 372
 
1.1%
Other Number
ValueCountFrequency (%)
② 5
17.9%
③ 5
17.9%
④ 5
17.9%
① 5
17.9%
⑦ 2
 
7.1%
⑥ 2
 
7.1%
⑤ 2
 
7.1%
⑧ 1
 
3.6%
⑨ 1
 
3.6%
Math Symbol
ValueCountFrequency (%)
> 405
41.8%
< 375
38.7%
= 99
 
10.2%
~ 71
 
7.3%
+ 16
 
1.6%
→ 2
 
0.2%
← 2
 
0.2%
Other Symbol
ValueCountFrequency (%)
★ 12
35.3%
㎡ 8
23.5%
㎍ 6
17.6%
㎥ 6
17.6%
☞ 1
 
2.9%
℃ 1
 
2.9%
Close Punctuation
ValueCountFrequency (%)
) 7757
93.5%
] 522
 
6.3%
」 13
 
0.2%
Open Punctuation
ValueCountFrequency (%)
( 7742
93.5%
[ 522
 
6.3%
「 13
 
0.2%
Initial Punctuation
ValueCountFrequency (%)
“ 33
63.5%
‘ 19
36.5%
Final Punctuation
ValueCountFrequency (%)
” 33
57.9%
’ 24
42.1%
Space Separator
ValueCountFrequency (%)
217929
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1623
100.0%
Control
ValueCountFrequency (%)
239
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 219
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 725694
65.5%
Common 321661
29.0%
Latin 60327
 
5.4%
Han 43
 
< 0.1%
Greek 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
는 19946
 
2.7%
정 19885
 
2.7%
공 18623
 
2.6%
보 17970
 
2.5%
제 17082
 
2.4%
하 16974
 
2.3%
표 15932
 
2.2%
좌 15579
 
2.1%
의 15368
 
2.1%
이 14993
 
2.1%
Other values (704) 553342
76.3%
Common
ValueCountFrequency (%)
217929
67.8%
. 15106
 
4.7%
, 12581
 
3.9%
: 8904
 
2.8%
) 7757
 
2.4%
( 7742
 
2.4%
* 7542
 
2.3%
0 6604
 
2.1%
2 6228
 
1.9%
3 5238
 
1.6%
Other values (48) 26030
 
8.1%
Latin
ValueCountFrequency (%)
S 4990
 
8.3%
T 4424
 
7.3%
G 4401
 
7.3%
P 4200
 
7.0%
E 4018
 
6.7%
M 3933
 
6.5%
o 3719
 
6.2%
e 2932
 
4.9%
s 2437
 
4.0%
h 2220
 
3.7%
Other values (41) 23053
38.2%
Han
ValueCountFrequency (%)
母 6
 
14.0%
年 4
 
9.3%
央 4
 
9.3%
木 2
 
4.7%
立 2
 
4.7%
竹 2
 
4.7%
觀 2
 
4.7%
所 2
 
4.7%
測 2
 
4.7%
位 2
 
4.7%
Other values (8) 15
34.9%
Greek
ValueCountFrequency (%)
μ 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 724295
65.4%
ASCII 380004
34.3%
Punctuation 1892
 
0.2%
Compat Jamo 1399
 
0.1%
CJK 37
 
< 0.1%
None 28
 
< 0.1%
Enclosed Alphanum 28
 
< 0.1%
CJK Compat 20
 
< 0.1%
Misc Symbols 13
 
< 0.1%
CJK Compat Ideographs 6
 
< 0.1%
Other values (2) 5
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
217929
57.3%
. 15106
 
4.0%
, 12581
 
3.3%
: 8904
 
2.3%
) 7757
 
2.0%
( 7742
 
2.0%
* 7542
 
2.0%
0 6604
 
1.7%
2 6228
 
1.6%
3 5238
 
1.4%
Other values (75) 84373
 
22.2%
Hangul
ValueCountFrequency (%)
는 19946
 
2.8%
정 19885
 
2.7%
공 18623
 
2.6%
보 17970
 
2.5%
제 17082
 
2.4%
하 16974
 
2.3%
표 15932
 
2.2%
좌 15579
 
2.2%
의 15368
 
2.1%
이 14993
 
2.1%
Other values (699) 551943
76.2%
Punctuation
ValueCountFrequency (%)
※ 1783
94.2%
“ 33
 
1.7%
” 33
 
1.7%
’ 24
 
1.3%
‘ 19
 
1.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1377
98.4%
ㅁ 15
 
1.1%
ㅇ 4
 
0.3%
ㄹ 2
 
0.1%
ㅏ 1
 
0.1%
None
ValueCountFrequency (%)
」 13
46.4%
「 13
46.4%
μ 2
 
7.1%
Misc Symbols
ValueCountFrequency (%)
★ 12
92.3%
☞ 1
 
7.7%
CJK Compat
ValueCountFrequency (%)
㎡ 8
40.0%
㎍ 6
30.0%
㎥ 6
30.0%
CJK
ValueCountFrequency (%)
母 6
16.2%
央 4
 
10.8%
木 2
 
5.4%
竹 2
 
5.4%
觀 2
 
5.4%
所 2
 
5.4%
測 2
 
5.4%
位 2
 
5.4%
水 2
 
5.4%
地 2
 
5.4%
Other values (6) 11
29.7%
Enclosed Alphanum
ValueCountFrequency (%)
② 5
17.9%
③ 5
17.9%
④ 5
17.9%
① 5
17.9%
⑦ 2
 
7.1%
⑥ 2
 
7.1%
⑤ 2
 
7.1%
⑧ 1
 
3.6%
⑨ 1
 
3.6%
CJK Compat Ideographs
ValueCountFrequency (%)
年 4
66.7%
立 2
33.3%
Arrows
ValueCountFrequency (%)
→ 2
50.0%
← 2
50.0%
Letterlike Symbols
ValueCountFrequency (%)
℃ 1
100.0%

바로가기URL
Text

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-11T00:02:56.154902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length72
Median length61
Mean length61.1357
Min length54

Characters and Unicode

Total characters611357
Distinct characters57
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10000 ?
Unique (%)100.0%

Sample

1st rowhttps://data.jungnang.go.kr/openinf/sheetview.jsp?infId=OA-12701
2nd rowhttps://data.seoul.go.kr/dataList/OA-20566/S/1/datasetView.do
3rd rowhttps://data.seoul.go.kr/dataList/DT201013E076/C/2/datasetView.do
4th rowhttps://data.seoul.go.kr/dataList/OA-17438/A/1/datasetView.do
5th rowhttps://data.dongjak.go.kr/openinf/openapiview.jsp?infId=OA-12716
ValueCountFrequency (%)
https://data.jungnang.go.kr/openinf/sheetview.jsp?infid=oa-12701 1
 
< 0.1%
https://data.seoul.go.kr/datalist/dt201013a031/s/2/datasetview.do 1
 
< 0.1%
https://data.seoul.go.kr/datalist/10988/s/2/datasetview.do 1
 
< 0.1%
https://data.gwangjin.go.kr/openinf/sheetview.jsp?infid=oa-17046 1
 
< 0.1%
https://data.seoul.go.kr/datalist/oa-17848/a/1/datasetview.do 1
 
< 0.1%
https://data.seoul.go.kr/datalist/oa-2219/a/1/datasetview.do 1
 
< 0.1%
https://data.seoul.go.kr/datalist/190/c/2/datasetview.do 1
 
< 0.1%
https://data.seoul.go.kr/datalist/oa-17068/s/1/datasetview.do 1
 
< 0.1%
https://data.seoul.go.kr/datalist/oa-20890/a/1/datasetview.do 1
 
< 0.1%
https://data.seoul.go.kr/datalist/430/c/2/datasetview.do 1
 
< 0.1%
Other values (9990) 9990
99.9%
2024-05-11T00:02:57.416247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 63694
 
10.4%
t 62594
 
10.2%
a 53854
 
8.8%
. 40000
 
6.5%
s 37530
 
6.1%
d 36661
 
6.0%
e 31514
 
5.2%
o 30286
 
5.0%
i 23310
 
3.8%
1 17711
 
2.9%
Other values (47) 214203
35.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 381992
62.5%
Other Punctuation 115796
 
18.9%
Decimal Number 60260
 
9.9%
Uppercase Letter 43413
 
7.1%
Dash Punctuation 7794
 
1.3%
Math Symbol 2102
 
0.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 62594
16.4%
a 53854
14.1%
s 37530
9.8%
d 36661
9.6%
e 31514
8.2%
o 30286
7.9%
i 23310
 
6.1%
p 16568
 
4.3%
g 11692
 
3.1%
h 11133
 
2.9%
Other values (13) 66850
17.5%
Uppercase Letter
ValueCountFrequency (%)
A 10321
23.8%
O 8017
18.5%
L 7957
18.3%
V 7898
18.2%
S 3592
 
8.3%
I 2104
 
4.8%
C 1191
 
2.7%
D 747
 
1.7%
T 683
 
1.6%
F 616
 
1.4%
Other values (8) 287
 
0.7%
Decimal Number
ValueCountFrequency (%)
1 17711
29.4%
2 9114
15.1%
0 8171
13.6%
6 3987
 
6.6%
7 3917
 
6.5%
3 3850
 
6.4%
5 3480
 
5.8%
8 3461
 
5.7%
9 3449
 
5.7%
4 3120
 
5.2%
Other Punctuation
ValueCountFrequency (%)
/ 63694
55.0%
. 40000
34.5%
: 10000
 
8.6%
? 2102
 
1.8%
Dash Punctuation
ValueCountFrequency (%)
- 7794
100.0%
Math Symbol
ValueCountFrequency (%)
= 2102
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 425405
69.6%
Common 185952
30.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 62594
14.7%
a 53854
12.7%
s 37530
 
8.8%
d 36661
 
8.6%
e 31514
 
7.4%
o 30286
 
7.1%
i 23310
 
5.5%
p 16568
 
3.9%
g 11692
 
2.7%
h 11133
 
2.6%
Other values (31) 110263
25.9%
Common
ValueCountFrequency (%)
/ 63694
34.3%
. 40000
21.5%
1 17711
 
9.5%
: 10000
 
5.4%
2 9114
 
4.9%
0 8171
 
4.4%
- 7794
 
4.2%
6 3987
 
2.1%
7 3917
 
2.1%
3 3850
 
2.1%
Other values (6) 17714
 
9.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 611357
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 63694
 
10.4%
t 62594
 
10.2%
a 53854
 
8.8%
. 40000
 
6.5%
s 37530
 
6.1%
d 36661
 
6.0%
e 31514
 
5.2%
o 30286
 
5.0%
i 23310
 
3.8%
1 17711
 
2.9%
Other values (47) 214203
35.0%

최종수정일자
Date

Distinct324
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2014-12-17 00:00:00
Maximum2024-05-10 00:00:00
2024-05-11T00:02:57.902972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:02:58.330838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Sample

공공정보그룹명공공정보명서비스ID서비스명상위분류체계ID분류체계ID상위분류체계명분류체계명태그제공기관제공부서담당자명담당자연락처DATA등록일원본시스템원본시스템 링크저작권자명저작권자연락처제3저작권자원본형태갱신주기이용허락조건 코드이용허락조건서비스유형서비스설명바로가기URL최종수정일자
2605중랑구 홈페이지중랑구 채용정보OA-12701서울시 중랑구 채용 정보10082043문화관광문화중랑, 공고, 구인, 구직, 모집중랑구중랑구 행정국 행정지원과안서영02-2094-03792015-06-23중랑구 홈페이지https://www.jungnang.go.kr/portal/bbs/list/B0000118.do?menuNo=200476중랑구청02-2094-0377<NA>DB비정기(자료변경시)2004BY-NC-NDSHEET중랑구청 채용정보로 제목, 담당부서, 담당자, 전화번호, 등록일, 내용 정보를 제공합니다.https://data.jungnang.go.kr/openinf/sheetview.jsp?infId=OA-127012024-04-19
11587한국교육학술정보원한국교육학술정보원OA-20566서울시 유치원 일반현황10042023교육학교교육유치원, 유아, 학교, 교육한국교육학술정보원한국교육학술정보원서울특별시교육청02-399-91142021-04-29유치원 알리미https://e-childschoolinfo.moe.go.kr한국교육학술정보원<NA><NA>DB수시(월간)2001BY-NC-NDSHEET서울특별시 소재 유치원 기본정보 유지원명, 소재지, 주소, 전화번호, 홈페이지주소 등 현황입니다. 유치원알리미(https://e-childschoolinfo.moe.go.kr) 에서 제공되는 자료입니다.https://data.seoul.go.kr/dataList/OA-20566/S/1/datasetView.do2024-01-02
13291서울시 통계정보노인복지OA-21538이용 경험 - 노인돌봄서비스10062036복지노인복지복지서비스, 어르신 복지서울특별시디지털정책관 빅데이터담당관최성용02-2133-43652022-11-23<NA>https://news.seoul.go.kr/welfare/?p=530461서울특별시 복지정책실 복지기획관 복지정책과 (백현기)02-2133-7749<NA>DB2년2001BY-NC-NDCHART서울시민 삶의 질적 수준, 복지 수요, 복지서비스 이용실태 등을 파악하여 서울시 복지정책 수립을 위한 기초자료 제공https://data.seoul.go.kr/dataList/DT201013E076/C/2/datasetView.do2022-11-23
7228지방행정인허가 데이터관광OA-17438서울시 은평구 숙박업 인허가 정보10082044문화관광관광호텔, 호스텔, 게스트하우스, 여관, 여인숙, 모텔은평구스마트도시정책관 빅데이터담당관은평구 대표전화02-351-61142020-07-16지방행정 인허가 데이터개방http://localdata.kr서울특별시 은평구02-351-6114<NA>DB매일2001BY-NC-NDOPENAPI은평구의 여관, 여인숙, 호텔 등 잠을 자고 머물수 있도록 시설 및 설비 등의 서비스를 제공하는 업소 정보 * 좌표안내 : 중부원점TM(EPSG:2097) 좌표계에 따른 해당위치의 좌표정보이며 위경도 좌표는 제공하고 있지 않음 * 본 데이터는 3일전 자료를 제공합니다.https://data.seoul.go.kr/dataList/OA-17438/A/1/datasetView.do2020-07-16
2630동작구 홈페이지동작구 채용공고OA-12716서울시 동작구 채용공고 정보10052028산업경제고용노동채용, 일자리, 동작, 공고, 구인, 구직, 구인구직동작구동작구 운영지원과김도현02-820-91932015-06-23동작구 홈페이지http://www.dongjak.go.kr동작구청02-820-1643<NA>DB비정기(수시, 자료변경시)2004BY-NC-NDOPENAPI동작구에서 제공하는 취업정보로 제목, 담당부서, 담당자, 전화번호, 등록일, 내용 정보를 제공합니다.https://data.dongjak.go.kr/openinf/openapiview.jsp?infId=OA-127162024-04-22
14432공공데이터포탈공공데이터포탈연계OA-22213서울시 공개공지 위치 정보10012005도시관리도시계획공개공지, 위치, 정보서울특별시주택정책실 건축기획과정길섭02-2133-71132023-12-26공공데이터포탈https://www.data.go.kr/data15102348/fileData.do<NA><NA><NA>FILE주기없음2001BY-NC-NDFILE지역 환경을 쾌적하게 조성하기 위해 업무시설 등의 다중이용시설 부지에 일반 시민들이 자유롭게 이용할 수 있도록 조성된 공개공지의 위치(주소) 정보 입니다.https://data.seoul.go.kr/dataList/OA-22213/F/1/datasetView.do2024-04-18
9539지방행정인허가 데이터에너지자원OA-19008서울시 중랑구 고압가스업 인허가 정보10052031산업경제에너지 자원가스, 에너지중랑구스마트도시정책관 빅데이터담당관중랑구 대표전화02-2094-01142020-07-24지방행정 인허가 데이터개방http://localdata.kr서울특별시 중랑구02-2094-0114<NA>DB매일2001BY-NC-NDOPENAPI중랑구의 용기에 충전하는 것을 포함하여 고압가스를 제조,저장 및 판매하는 업소정보 * 좌표안내 : 중부원점TM(EPSG:2097) 좌표계에 따른 해당위치의 좌표정보이며 위경도 좌표는 제공하고 있지 않음 * 본 데이터는 3일전 자료를 제공합니다.https://data.seoul.go.kr/dataList/OA-19008/A/1/datasetView.do2022-04-13
480새올행정정보시스템(양천구-위생)지도점검 및 행정처분OA-10841서울시 양천구 위생업소 전체 행정처분내역 현황10092046보건식품공중,위생,행정처분,양천구양천구 보건소 보건위생과이석근02-2620-48872015-01-26시도행정정보시스템<NA>양천구청02-2620-3249<NA>DB비정기(수시, 자료변경시)2001BY-NC-NDOPENAPI식품위생,공중위생,원산지 위반 과태료 및 과징금 처분https://data.yangcheon.go.kr/openinf/openapiview.jsp?infId=OA-108412024-04-18
246새올행정정보시스템(영등포구-위생)공중위생업소 정보OA-10415서울시 영등포구 위생처리업 공중위생업소 현황10092046보건식품공중위생관리법, 공중위생업, 물수건, 인허가영등포구영등포구 보건소 위생과02-2670-47032015-01-26시도행정정보시스템<NA>영등포구청02-2670-4704<NA>DB비정기(수시, 자료변경시)2001BY-NC-NDSHEET이.미용,숙박업,목욕업 등 업소별 신고 현황https://data.seoul.go.kr/dataList/OA-10415/S/1/datasetView.do2024-04-17
14896서울시 온라인 여론조사 시스템서울시 여론조사 정보OA-2743서울시 여론조사 응답결과 정보10002003일반행정통계여론, 조사, 응답, 결과서울특별시홍보기획관 홍보담당관백영호02-2133-64442014-05-09서울시 여론조사 홈페이지http://research.seoul.go.kr서울특별시02-2133-6431<NA>FILE비정기(자료변경시)2004BY-NC-NDFILE서울시에서 실시하는 여론조사의 응답결과 상세 정보를 제공하는 서비스입니다.https://data.seoul.go.kr/dataList/OA-2743/F/1/datasetView.do2023-09-22
공공정보그룹명공공정보명서비스ID서비스명상위분류체계ID분류체계ID상위분류체계명분류체계명태그제공기관제공부서담당자명담당자연락처DATA등록일원본시스템원본시스템 링크저작권자명저작권자연락처제3저작권자원본형태갱신주기이용허락조건 코드이용허락조건서비스유형서비스설명바로가기URL최종수정일자
13355서울시 통계정보장애인복지OA-21570인지 여부 - 장애인 자립생활 및 취업 지원 사업10062034복지장애인복지복지서비스, 장애인 복지서울특별시디지털정책관 빅데이터담당관최성용02-2133-43652022-11-23<NA>https://news.seoul.go.kr/welfare/?p=530461서울특별시 복지정책실 복지기획관 복지정책과 (백현기)02-2133-7749<NA>DB2년2001BY-NC-NDCHART서울시민 삶의 질적 수준, 복지 수요, 복지서비스 이용실태 등을 파악하여 서울시 복지정책 수립을 위한 기초자료 제공https://data.seoul.go.kr/dataList/DT201013E103/C/2/datasetView.do2022-11-23
6526지방행정인허가 데이터문화OA-16830서울시 마포구 청소년게임제공업 인허가 정보10082043문화관광문화게임, 오락, 인형뽑기마포구마포구 관광경제국 문화예술과김수호02-3153-83622020-07-16지방행정 인허가 데이터개방http://localdata.kr서울특별시 마포구02-3153-8114<NA>DB매일2001BY-NC-NDSHEET마포구의 인형뽑기, 오락실 등 전체이용가 게임물을 설치하여 제공하는 업소정보 * 좌표안내 : 중부원점TM(EPSG:2097) 좌표계에 따른 해당위치의 좌표정보이며 위경도 좌표는 제공하고 있지 않음 * 본 데이터는 3일전 자료를 제공합니다.https://data.seoul.go.kr/dataList/OA-16830/S/1/datasetView.do2023-04-14
2733강서구 홈페이지강서구 공지사항 정보OA-12785서울시 강서구 공지사항 정보10002001일반행정행정공지, 새소식, 소식, 행사, 안내, 강서, 강서구청강서구강서구 미래경제국 정보통신과이건희02-2600-66182015-06-24강서구 홈페이지http://www.gangseo.seoul.kr강서구청02-2600-6905<NA>DB비정기(자료변경시)2001BY-NC-NDSHEET강서구에서 제공하는 강서구 공지사항 정보입니다. 게시물 ID, 게시자 이름, 제목, 내용, 등록일, 조회수 정보를 제공합니다.https://data.gangseo.seoul.kr/openinf/sheetview.jsp?infId=OA-127852023-05-02
587새올행정정보시스템(서초구-위생)식품위생관리OA-11046서울시 서초구 식품위생업소 동별 업소수 현황 (차트)10092046보건식품식품위생, 업소, 업종, 소재지, 업소수서초구서초구 보건소 위생과최은수02-2155-80252015-01-26시도행정정보시스템<NA>서초구청02-2155-8024<NA>DB비정기(수시, 자료변경시)2001BY-NC-NDSHEET서울시 서초구 식품위생업소 동별 업소수 현황 (차트)https://data.seocho.go.kr/openinf/sheetview.jsp?infId=OA-110462024-04-17
4704서울시 건축정보건축주택데이터웨어하우스OA-15663서울시 건축인허가대장 공작물종류 정보10012010도시관리건축건축인허가대장, 공작물, 공작물 길이서울특별시주택정책실 주택정책지원센터박치훈02-2133-70432019-09-10<NA><NA>서울특별시<NA><NA>DB수시2001BY-NC-NDSHEET건축인허가대장의 공장물종류로 공작물의 종류, 공작물의 기타 종류, 길이, 높이, 면적, 구조, 건폐율의 정보가 기재되어 있습니다.https://data.seoul.go.kr/dataList/OA-15663/S/1/datasetView.do2023-05-09
6628지방행정인허가 데이터관광OA-16914서울시 강남구 관광극장유흥업 인허가 정보10082044문화관광관광관광, 나이트, 클럽강남구스마트도시정책관 빅데이터담당관강남구 대표전화02-3423-51142020-07-16지방행정 인허가 데이터개방http://localdata.kr서울특별시 강남구02-3423-5114<NA>DB매일2001BY-NC-NDSHEET강남구의 유흥주점영업의 허가를 받은 자가 관광객이 이용하기 적합한 무도 시설을 갖추어 음식 제공 및 노래와 춤을 감상 또는 춤을 출 수 있는 공간을 제공하는 업소정보 * 좌표안내 : 중부원점TM(EPSG:2097) 좌표계에 따른 해당위치의 좌표정보이며 위경도 좌표는 제공하고 있지 않음 * 본 데이터는 3일전 자료를 제공합니다.https://data.seoul.go.kr/dataList/OA-16914/S/1/datasetView.do2020-07-16
12648도로굴착복구도로굴착복구온라인시스템 공간정보OA-21182서울시 도로굴착 사업 예정지 공간정보10012006도시관리도로사업예정지,공간정보,공간,도로,굴착서울특별시안전총괄실 안전총괄관 도로관리과김민섭02-2133-81872022-01-03도로굴착복구시스템https://hidigp.seoul.go.kr서울특별시02-2133-8189<NA>DB매월1회2001BY-NC-NDOPENAPI서울시 도로굴착사업 예정지 공간정보 입니다. [좌표계] EPSG:5186 (GRS80 타원체의 한국 중부원점이며 Y 축으로 600000미터만큼 이동시킨 좌표계) [인코딩] windows-949 ※ 본 자료는 법적 효력이 없으며 참고자료로만 활용 가능합니다. ※ 서울의 모든 공간정보는 공간정보담당관(2133-2847)을 경유하여 서울 열린데이터 광장에 제공됩니다.https://data.seoul.go.kr/dataList/OA-21182/A/1/datasetView.do2022-04-13
3530유통정보유통정보OA-13447서울시농수산식품공사 주간등락품목(하락한품목) 정보10092046보건식품서울시농수산식품공사, 가격, 등락, 하락서울시농수산식품공사전산정보팀육창섭02-3435-03592017-02-20유통정보https://www.garak.co.kr/publicdata/selectPageListPublicData.do서울시농수산식품공사02-3435-0347<NA>DB수시(일간)2001BY-NC-NDOPENAPI경매물량, 시장반입물량 등 정보 제공https://data.seoul.go.kr/dataList/OA-13447/A/1/datasetView.do2023-05-18
8894지방행정인허가 데이터경제OA-18399서울시 강남구 유통전문판매업 인허가 정보10052027산업경제경제유통, 판매강남구스마트도시정책관 빅데이터담당관강남구 대표전화02-3423-51142020-07-24지방행정 인허가 데이터개방http://localdata.kr서울특별시 강남구02-3423-5114<NA>DB매일2001BY-NC-NDSHEET강남구의 직접 제조하지 않고 식가공류 제공을 위해 판매업소에 유통하는 업소정보 * 좌표안내 : 중부원점TM(EPSG:2097) 좌표계에 따른 해당위치의 좌표정보이며 위경도 좌표는 제공하고 있지 않음 * 본 데이터는 3일전 자료를 제공합니다.https://data.seoul.go.kr/dataList/OA-18399/S/1/datasetView.do2020-07-24
3599도봉구 홈페이지도봉구 보도자료OA-13484서울시 도봉구 보호수 정보10022018환경공원녹지보호수도봉구도봉구 기획재정국 홍보전산과도봉구 대표전화02-2091-21202017-10-17<NA><NA>도봉구02-2289-1776<NA>FILE비정기(자료변경시)2001BY-NC-NDFILE도봉구 관내 보호수 정보https://data.dobong.go.kr/openinf/fileview.jsp?infId=OA-134842021-08-06