Overview

Dataset statistics

Number of variables6
Number of observations534
Missing cells1
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory25.2 KiB
Average record size in memory48.2 B

Variable types

Text4
Categorical2

Dataset

Description연번,공표목록,공표항목,부서,주기,시기
Author관악구
URLhttps://data.seoul.go.kr/dataList/OA-12698/S/1/datasetView.do

Reproduction

Analysis started2024-05-04 04:06:59.292669
Analysis finished2024-05-04 04:07:01.593826
Duration2.3 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Text

Distinct533
Distinct (%)100.0%
Missing1
Missing (%)0.2%
Memory size4.3 KiB
2024-05-04T04:07:02.471889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length8
Min length8

Characters and Unicode

Total characters4264
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

Unique533 ?
Unique (%)100.0%

Sample

1st rowPC_00701
2nd rowPC_00700
3rd rowPC_00699
4th rowPC_00698
5th rowPC_00697
ValueCountFrequency (%)
pc_00701 1
 
0.2%
pc_00209 1
 
0.2%
pc_00189 1
 
0.2%
pc_00190 1
 
0.2%
pc_00191 1
 
0.2%
pc_00193 1
 
0.2%
pc_00195 1
 
0.2%
pc_00196 1
 
0.2%
pc_00197 1
 
0.2%
pc_00198 1
 
0.2%
Other values (523) 523
98.1%
2024-05-04T04:07:03.842532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1262
29.6%
P 533
12.5%
C 533
12.5%
_ 533
12.5%
3 198
 
4.6%
1 197
 
4.6%
2 188
 
4.4%
4 176
 
4.1%
6 172
 
4.0%
5 161
 
3.8%
Other values (3) 311
 
7.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2665
62.5%
Uppercase Letter 1066
 
25.0%
Connector Punctuation 533
 
12.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1262
47.4%
3 198
 
7.4%
1 197
 
7.4%
2 188
 
7.1%
4 176
 
6.6%
6 172
 
6.5%
5 161
 
6.0%
7 106
 
4.0%
8 106
 
4.0%
9 99
 
3.7%
Uppercase Letter
ValueCountFrequency (%)
P 533
50.0%
C 533
50.0%
Connector Punctuation
ValueCountFrequency (%)
_ 533
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3198
75.0%
Latin 1066
 
25.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1262
39.5%
_ 533
16.7%
3 198
 
6.2%
1 197
 
6.2%
2 188
 
5.9%
4 176
 
5.5%
6 172
 
5.4%
5 161
 
5.0%
7 106
 
3.3%
8 106
 
3.3%
Latin
ValueCountFrequency (%)
P 533
50.0%
C 533
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4264
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1262
29.6%
P 533
12.5%
C 533
12.5%
_ 533
12.5%
3 198
 
4.6%
1 197
 
4.6%
2 188
 
4.4%
4 176
 
4.1%
6 172
 
4.0%
5 161
 
3.8%
Other values (3) 311
 
7.3%

공표목록
Text

Distinct533
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
2024-05-04T04:07:04.816572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length28
Mean length11.196629
Min length3

Characters and Unicode

Total characters5979
Distinct characters365
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

Unique532 ?
Unique (%)99.6%

Sample

1st row위반사실의 공표
2nd row주간행사일정
3rd row지방세 체납자 압류자동차 공매 공고(제2023-1582호)
4th row대학생아르바이트 신청 안내
5th row관악구 부설주차장 공유사업
ValueCountFrequency (%)
현황 154
 
11.5%
안내 72
 
5.4%
및 46
 
3.4%
결과 31
 
2.3%
지도점검 24
 
1.8%
지원 9
 
0.7%
등 9
 
0.7%
프로그램 8
 
0.6%
지정 7
 
0.5%
운영 7
 
0.5%
Other values (804) 968
72.5%
2024-05-04T04:07:06.696127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
802
 
13.4%
현 231
 
3.9%
황 228
 
3.8%
지 129
 
2.2%
사 118
 
2.0%
업 114
 
1.9%
안 110
 
1.8%
내 104
 
1.7%
공 96
 
1.6%
정 76
 
1.3%
Other values (355) 3971
66.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5038
84.3%
Space Separator 802
 
13.4%
Decimal Number 42
 
0.7%
Other Punctuation 27
 
0.5%
Open Punctuation 22
 
0.4%
Close Punctuation 22
 
0.4%
Lowercase Letter 12
 
0.2%
Uppercase Letter 8
 
0.1%
Dash Punctuation 5
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
현 231
 
4.6%
황 228
 
4.5%
지 129
 
2.6%
사 118
 
2.3%
업 114
 
2.3%
안 110
 
2.2%
내 104
 
2.1%
공 96
 
1.9%
정 76
 
1.5%
기 75
 
1.5%
Other values (324) 3757
74.6%
Decimal Number
ValueCountFrequency (%)
2 19
45.2%
0 7
 
16.7%
1 5
 
11.9%
5 4
 
9.5%
3 3
 
7.1%
8 1
 
2.4%
9 1
 
2.4%
4 1
 
2.4%
7 1
 
2.4%
Lowercase Letter
ValueCountFrequency (%)
r 2
16.7%
e 2
16.7%
n 2
16.7%
g 2
16.7%
i 1
8.3%
k 1
8.3%
a 1
8.3%
p 1
8.3%
Uppercase Letter
ValueCountFrequency (%)
C 2
25.0%
G 1
12.5%
P 1
12.5%
L 1
12.5%
V 1
12.5%
T 1
12.5%
U 1
12.5%
Other Punctuation
ValueCountFrequency (%)
, 18
66.7%
? 9
33.3%
Space Separator
ValueCountFrequency (%)
802
100.0%
Open Punctuation
ValueCountFrequency (%)
( 22
100.0%
Close Punctuation
ValueCountFrequency (%)
) 22
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5038
84.3%
Common 921
 
15.4%
Latin 20
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
현 231
 
4.6%
황 228
 
4.5%
지 129
 
2.6%
사 118
 
2.3%
업 114
 
2.3%
안 110
 
2.2%
내 104
 
2.1%
공 96
 
1.9%
정 76
 
1.5%
기 75
 
1.5%
Other values (324) 3757
74.6%
Common
ValueCountFrequency (%)
802
87.1%
( 22
 
2.4%
) 22
 
2.4%
2 19
 
2.1%
, 18
 
2.0%
? 9
 
1.0%
0 7
 
0.8%
- 5
 
0.5%
1 5
 
0.5%
5 4
 
0.4%
Other values (6) 8
 
0.9%
Latin
ValueCountFrequency (%)
r 2
 
10.0%
e 2
 
10.0%
C 2
 
10.0%
n 2
 
10.0%
g 2
 
10.0%
G 1
 
5.0%
P 1
 
5.0%
L 1
 
5.0%
V 1
 
5.0%
T 1
 
5.0%
Other values (5) 5
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5038
84.3%
ASCII 941
 
15.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
802
85.2%
( 22
 
2.3%
) 22
 
2.3%
2 19
 
2.0%
, 18
 
1.9%
? 9
 
1.0%
0 7
 
0.7%
- 5
 
0.5%
1 5
 
0.5%
5 4
 
0.4%
Other values (21) 28
 
3.0%
Hangul
ValueCountFrequency (%)
현 231
 
4.6%
황 228
 
4.5%
지 129
 
2.6%
사 118
 
2.3%
업 114
 
2.3%
안 110
 
2.2%
내 104
 
2.1%
공 96
 
1.9%
정 76
 
1.5%
기 75
 
1.5%
Other values (324) 3757
74.6%

공표항목
Text

Distinct492
Distinct (%)92.1%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
2024-05-04T04:07:07.461274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length90
Median length59
Mean length25.058052
Min length2

Characters and Unicode

Total characters13381
Distinct characters366
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

Unique463 ?
Unique (%)86.7%

Sample

1st row위반시설 및 위반행위자 관련 사항
2nd row행사명, 행사일시, 행사장소
3rd row공고일정, 공매차량정보 및 입찰정보
4th row모집시기, 모집대상, 신청방법, 신청서식
5th row건축물명, 위치, 개방면수, 연락처 등 안내
ValueCountFrequency (%)
소재지 104
 
4.3%
등 93
 
3.9%
및 68
 
2.8%
전화번호 67
 
2.8%
업소명 25
 
1.0%
연락처 24
 
1.0%
신청방법 22
 
0.9%
대상 21
 
0.9%
업종 19
 
0.8%
면적 18
 
0.7%
Other values (1274) 1954
80.9%
2024-05-04T04:07:08.800753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1884
 
14.1%
, 1633
 
12.2%
지 290
 
2.2%
소 260
 
1.9%
사 248
 
1.9%
명 245
 
1.8%
기 202
 
1.5%
업 194
 
1.4%
시 166
 
1.2%
재 164
 
1.2%
Other values (356) 8095
60.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9572
71.5%
Space Separator 1884
 
14.1%
Other Punctuation 1657
 
12.4%
Open Punctuation 106
 
0.8%
Close Punctuation 104
 
0.8%
Decimal Number 51
 
0.4%
Uppercase Letter 4
 
< 0.1%
Math Symbol 1
 
< 0.1%
Lowercase Letter 1
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 290
 
3.0%
소 260
 
2.7%
사 248
 
2.6%
명 245
 
2.6%
기 202
 
2.1%
업 194
 
2.0%
시 166
 
1.7%
재 164
 
1.7%
정 152
 
1.6%
대 150
 
1.6%
Other values (331) 7501
78.4%
Decimal Number
ValueCountFrequency (%)
2 18
35.3%
1 14
27.5%
0 8
15.7%
3 3
 
5.9%
6 2
 
3.9%
4 2
 
3.9%
9 2
 
3.9%
5 1
 
2.0%
8 1
 
2.0%
Other Punctuation
ValueCountFrequency (%)
, 1633
98.6%
. 10
 
0.6%
/ 7
 
0.4%
? 6
 
0.4%
: 1
 
0.1%
Uppercase Letter
ValueCountFrequency (%)
C 2
50.0%
V 1
25.0%
T 1
25.0%
Open Punctuation
ValueCountFrequency (%)
( 105
99.1%
[ 1
 
0.9%
Close Punctuation
ValueCountFrequency (%)
) 103
99.0%
] 1
 
1.0%
Space Separator
ValueCountFrequency (%)
1884
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Lowercase Letter
ValueCountFrequency (%)
m 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9572
71.5%
Common 3804
 
28.4%
Latin 5
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 290
 
3.0%
소 260
 
2.7%
사 248
 
2.6%
명 245
 
2.6%
기 202
 
2.1%
업 194
 
2.0%
시 166
 
1.7%
재 164
 
1.7%
정 152
 
1.6%
대 150
 
1.6%
Other values (331) 7501
78.4%
Common
ValueCountFrequency (%)
1884
49.5%
, 1633
42.9%
( 105
 
2.8%
) 103
 
2.7%
2 18
 
0.5%
1 14
 
0.4%
. 10
 
0.3%
0 8
 
0.2%
/ 7
 
0.2%
? 6
 
0.2%
Other values (11) 16
 
0.4%
Latin
ValueCountFrequency (%)
C 2
40.0%
V 1
20.0%
T 1
20.0%
m 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9567
71.5%
ASCII 3809
 
28.5%
Compat Jamo 5
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1884
49.5%
, 1633
42.9%
( 105
 
2.8%
) 103
 
2.7%
2 18
 
0.5%
1 14
 
0.4%
. 10
 
0.3%
0 8
 
0.2%
/ 7
 
0.2%
? 6
 
0.2%
Other values (15) 21
 
0.6%
Hangul
ValueCountFrequency (%)
지 290
 
3.0%
소 260
 
2.7%
사 248
 
2.6%
명 245
 
2.6%
기 202
 
2.1%
업 194
 
2.0%
시 166
 
1.7%
재 164
 
1.7%
정 152
 
1.6%
대 150
 
1.6%
Other values (330) 7496
78.4%
Compat Jamo
ValueCountFrequency (%)
ㅇ 5
100.0%

부서
Categorical

Distinct43
Distinct (%)8.1%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
민원여권과
 
29
의약과
 
28
교통행정과
 
26
기획예산과
 
23
문화관광체육과
 
23
Other values (38)
405 

Length

Max length8
Median length5
Mean length4.988764
Min length3

Unique

Unique1 ?
Unique (%)0.2%

Sample

1st row여성가족과
2nd row행정지원과
3rd row38세금징수과
4th row자치행정과
5th row교통지도과

Common Values

ValueCountFrequency (%)
민원여권과 29
 
5.4%
의약과 28
 
5.2%
교통행정과 26
 
4.9%
기획예산과 23
 
4.3%
문화관광체육과 23
 
4.3%
녹색환경과 22
 
4.1%
위생과 19
 
3.6%
지역상권활성화과 19
 
3.6%
지역보건과 19
 
3.6%
장애인복지과 19
 
3.6%
Other values (33) 307
57.5%

Length

2024-05-04T04:07:09.232168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
민원여권과 29
 
5.4%
의약과 28
 
5.2%
교통행정과 26
 
4.9%
기획예산과 23
 
4.3%
문화관광체육과 23
 
4.3%
녹색환경과 22
 
4.1%
지역보건과 19
 
3.6%
장애인복지과 19
 
3.6%
여성가족과 19
 
3.6%
지역상권활성화과 19
 
3.6%
Other values (33) 307
57.5%

주기
Categorical

Distinct31
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
매년
166 
연1회
124 
수시
89 
반기
48 
분기
 
16
Other values (26)
91 

Length

Max length7
Median length2
Mean length2.3389513
Min length1

Unique

Unique11 ?
Unique (%)2.1%

Sample

1st row수시
2nd row매주
3rd row수시
4th row반기
5th row연간

Common Values

ValueCountFrequency (%)
매년 166
31.1%
연1회 124
23.2%
수시 89
16.7%
반기 48
 
9.0%
분기 16
 
3.0%
매월 15
 
2.8%
연 1회 13
 
2.4%
연초 11
 
2.1%
1년 7
 
1.3%
상시 6
 
1.1%
Other values (21) 39
 
7.3%

Length

2024-05-04T04:07:09.656750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
매년 166
30.2%
연1회 124
22.6%
수시 89
16.2%
반기 48
 
8.7%
분기 16
 
2.9%
1회 16
 
2.9%
매월 15
 
2.7%
연 13
 
2.4%
연초 11
 
2.0%
1년 7
 
1.3%
Other values (22) 44
 
8.0%

시기
Text

Distinct71
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
2024-05-04T04:07:10.178806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length2
Mean length2.7996255
Min length2

Characters and Unicode

Total characters1495
Distinct characters48
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

Unique40 ?
Unique (%)7.5%

Sample

1st row수시
2nd row월요일
3rd row2023.9.11.~10.16.
4th row1월, 12월
5th row연초
ValueCountFrequency (%)
연초 151
27.1%
1월 94
16.8%
수시 83
14.9%
1,7월 24
 
4.3%
2월 16
 
2.9%
4월 14
 
2.5%
3월 14
 
2.5%
7월 14
 
2.5%
월초 11
 
2.0%
3,6,9,12월 8
 
1.4%
Other values (58) 129
23.1%
2024-05-04T04:07:11.303306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
월 270
18.1%
1 190
12.7%
연 167
11.2%
초 164
11.0%
시 101
 
6.8%
, 101
 
6.8%
수 86
 
5.8%
2 58
 
3.9%
7 52
 
3.5%
3 36
 
2.4%
Other values (38) 270
18.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 896
59.9%
Decimal Number 437
29.2%
Other Punctuation 132
 
8.8%
Space Separator 24
 
1.6%
Math Symbol 6
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
월 270
30.1%
연 167
18.6%
초 164
18.3%
시 101
 
11.3%
수 86
 
9.6%
매 13
 
1.5%
말 12
 
1.3%
년 10
 
1.1%
상 10
 
1.1%
중 8
 
0.9%
Other values (24) 55
 
6.1%
Decimal Number
ValueCountFrequency (%)
1 190
43.5%
2 58
 
13.3%
7 52
 
11.9%
3 36
 
8.2%
0 22
 
5.0%
4 21
 
4.8%
6 21
 
4.8%
9 19
 
4.3%
5 12
 
2.7%
8 6
 
1.4%
Other Punctuation
ValueCountFrequency (%)
, 101
76.5%
. 31
 
23.5%
Space Separator
ValueCountFrequency (%)
24
100.0%
Math Symbol
ValueCountFrequency (%)
~ 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 896
59.9%
Common 599
40.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
월 270
30.1%
연 167
18.6%
초 164
18.3%
시 101
 
11.3%
수 86
 
9.6%
매 13
 
1.5%
말 12
 
1.3%
년 10
 
1.1%
상 10
 
1.1%
중 8
 
0.9%
Other values (24) 55
 
6.1%
Common
ValueCountFrequency (%)
1 190
31.7%
, 101
16.9%
2 58
 
9.7%
7 52
 
8.7%
3 36
 
6.0%
. 31
 
5.2%
24
 
4.0%
0 22
 
3.7%
4 21
 
3.5%
6 21
 
3.5%
Other values (4) 43
 
7.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 896
59.9%
ASCII 599
40.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
월 270
30.1%
연 167
18.6%
초 164
18.3%
시 101
 
11.3%
수 86
 
9.6%
매 13
 
1.5%
말 12
 
1.3%
년 10
 
1.1%
상 10
 
1.1%
중 8
 
0.9%
Other values (24) 55
 
6.1%
ASCII
ValueCountFrequency (%)
1 190
31.7%
, 101
16.9%
2 58
 
9.7%
7 52
 
8.7%
3 36
 
6.0%
. 31
 
5.2%
24
 
4.0%
0 22
 
3.7%
4 21
 
3.5%
6 21
 
3.5%
Other values (4) 43
 
7.2%

Correlations

2024-05-04T04:07:11.581130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
부서주기시기
부서1.0000.6740.792
주기0.6741.0000.986
시기0.7920.9861.000
2024-05-04T04:07:11.829092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
주기부서
주기1.0000.189
부서0.1891.000
2024-05-04T04:07:12.055353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
부서주기
부서1.0000.189
주기0.1891.000

Missing values

2024-05-04T04:07:01.014509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-04T04:07:01.385335image/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.

Sample

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