Overview

Dataset statistics

Number of variables5
Number of observations1219
Missing cells22
Missing cells (%)0.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory47.7 KiB
Average record size in memory40.1 B

Variable types

Text5

Dataset

Description울산광역시 울주군의 대표홈페이지 직원조직도에 대한 데이터로, 성명, 전화번호, 업무, 직위, 순서, 실과 등의 항목을 제공합니다.
URLhttps://www.data.go.kr/data/15075619/fileData.do

Alerts

전화번호 has 17 (1.4%) missing valuesMissing

Reproduction

Analysis started2023-12-12 08:14:34.485857
Analysis finished2023-12-12 08:14:35.395601
Duration0.91 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

성명
Text

Distinct1147
Distinct (%)94.1%
Missing0
Missing (%)0.0%
Memory size9.7 KiB
2023-12-12T17:14:35.703635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3
Mean length3
Min length2

Characters and Unicode

Total characters3657
Distinct characters205
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1092 ?
Unique (%)89.6%

Sample

1st row이순걸
2nd row김석명
3rd row박득선
4th row김병희
5th row박제윤
ValueCountFrequency (%)
김민정 5
 
0.4%
김민지 4
 
0.3%
김유진 4
 
0.3%
박은경 4
 
0.3%
이상훈 4
 
0.3%
이현정 3
 
0.2%
김수정 3
 
0.2%
김미정 3
 
0.2%
김은영 3
 
0.2%
이미경 3
 
0.2%
Other values (1137) 1183
97.0%
2023-12-12T17:14:36.275212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 275
 
7.5%
이 186
 
5.1%
정 169
 
4.6%
박 126
 
3.4%
진 104
 
2.8%
현 99
 
2.7%
민 92
 
2.5%
은 91
 
2.5%
지 86
 
2.4%
영 85
 
2.3%
Other values (195) 2344
64.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3657
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 275
 
7.5%
이 186
 
5.1%
정 169
 
4.6%
박 126
 
3.4%
진 104
 
2.8%
현 99
 
2.7%
민 92
 
2.5%
은 91
 
2.5%
지 86
 
2.4%
영 85
 
2.3%
Other values (195) 2344
64.1%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3657
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 275
 
7.5%
이 186
 
5.1%
정 169
 
4.6%
박 126
 
3.4%
진 104
 
2.8%
현 99
 
2.7%
민 92
 
2.5%
은 91
 
2.5%
지 86
 
2.4%
영 85
 
2.3%
Other values (195) 2344
64.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3657
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 275
 
7.5%
이 186
 
5.1%
정 169
 
4.6%
박 126
 
3.4%
진 104
 
2.8%
현 99
 
2.7%
민 92
 
2.5%
은 91
 
2.5%
지 86
 
2.4%
영 85
 
2.3%
Other values (195) 2344
64.1%

직위
Text

Distinct231
Distinct (%)18.9%
Missing0
Missing (%)0.0%
Memory size9.7 KiB
2023-12-12T17:14:36.549993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length3
Mean length3.7514356
Min length2

Characters and Unicode

Total characters4573
Distinct characters183
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

Unique212 ?
Unique (%)17.4%

Sample

1st row군수
2nd row부군수
3rd row기획예산실장
4th row기획담당
5th row주무관
ValueCountFrequency (%)
주무관 826
67.6%
담당자 64
 
5.2%
공중보건의 17
 
1.4%
산업담당 12
 
1.0%
총무담당 12
 
1.0%
민원담당 12
 
1.0%
상수원보호구역관리원 11
 
0.9%
맞춤형복지담당 11
 
0.9%
생활지원담당 9
 
0.7%
아동통합사례관리사 7
 
0.6%
Other values (222) 241
 
19.7%
2023-12-12T17:14:37.028737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
관 885
19.4%
무 858
18.8%
주 829
18.1%
담 270
 
5.9%
당 269
 
5.9%
원 68
 
1.5%
자 68
 
1.5%
장 68
 
1.5%
지 55
 
1.2%
리 50
 
1.1%
Other values (173) 1153
25.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4555
99.6%
Decimal Number 13
 
0.3%
Space Separator 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
관 885
19.4%
무 858
18.8%
주 829
18.2%
담 270
 
5.9%
당 269
 
5.9%
원 68
 
1.5%
자 68
 
1.5%
장 68
 
1.5%
지 55
 
1.2%
리 50
 
1.1%
Other values (170) 1135
24.9%
Decimal Number
ValueCountFrequency (%)
2 7
53.8%
1 6
46.2%
Space Separator
ValueCountFrequency (%)
5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4555
99.6%
Common 18
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
관 885
19.4%
무 858
18.8%
주 829
18.2%
담 270
 
5.9%
당 269
 
5.9%
원 68
 
1.5%
자 68
 
1.5%
장 68
 
1.5%
지 55
 
1.2%
리 50
 
1.1%
Other values (170) 1135
24.9%
Common
ValueCountFrequency (%)
2 7
38.9%
1 6
33.3%
5
27.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4555
99.6%
ASCII 18
 
0.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
관 885
19.4%
무 858
18.8%
주 829
18.2%
담 270
 
5.9%
당 269
 
5.9%
원 68
 
1.5%
자 68
 
1.5%
장 68
 
1.5%
지 55
 
1.2%
리 50
 
1.1%
Other values (170) 1135
24.9%
ASCII
ValueCountFrequency (%)
2 7
38.9%
1 6
33.3%
5
27.8%

전화번호
Text

MISSING 

Distinct1163
Distinct (%)96.8%
Missing17
Missing (%)1.4%
Memory size9.7 KiB
2023-12-12T17:14:37.302199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length12
Mean length11.992512
Min length8

Characters and Unicode

Total characters14415
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

Unique1143 ?
Unique (%)95.1%

Sample

1st row052-204-0001
2nd row052-204-0100
3rd row052-204-0110
4th row052-204-0111
5th row052-204-0112
ValueCountFrequency (%)
052-204-2917 8
 
0.7%
052-204-2147 4
 
0.3%
052-204-2928 4
 
0.3%
052-204-2797 4
 
0.3%
052-204-2445 4
 
0.3%
052-204-2912 3
 
0.2%
052-204-1917 3
 
0.2%
052-204-2526 3
 
0.2%
052-204-2415 3
 
0.2%
052-204-2929 3
 
0.2%
Other values (1153) 1163
96.8%
2023-12-12T17:14:37.646199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 3308
22.9%
0 2830
19.6%
- 2397
16.6%
4 1939
13.5%
5 1583
11.0%
1 854
 
5.9%
3 541
 
3.8%
7 292
 
2.0%
6 291
 
2.0%
8 197
 
1.4%
Other values (3) 183
 
1.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12016
83.4%
Dash Punctuation 2397
 
16.6%
Math Symbol 1
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 3308
27.5%
0 2830
23.6%
4 1939
16.1%
5 1583
13.2%
1 854
 
7.1%
3 541
 
4.5%
7 292
 
2.4%
6 291
 
2.4%
8 197
 
1.6%
9 181
 
1.5%
Dash Punctuation
ValueCountFrequency (%)
- 2397
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 14415
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 3308
22.9%
0 2830
19.6%
- 2397
16.6%
4 1939
13.5%
5 1583
11.0%
1 854
 
5.9%
3 541
 
3.8%
7 292
 
2.0%
6 291
 
2.0%
8 197
 
1.4%
Other values (3) 183
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14415
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 3308
22.9%
0 2830
19.6%
- 2397
16.6%
4 1939
13.5%
5 1583
11.0%
1 854
 
5.9%
3 541
 
3.8%
7 292
 
2.0%
6 291
 
2.0%
8 197
 
1.4%
Other values (3) 183
 
1.3%

부서
Text

Distinct52
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size9.7 KiB
2023-12-12T17:14:37.864111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length6
Mean length4.1985234
Min length2

Characters and Unicode

Total characters5118
Distinct characters92
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7 ?
Unique (%)0.6%

Sample

1st row군수
2nd row부군수
3rd row기획예산실
4th row기획예산실
5th row기획예산실
ValueCountFrequency (%)
보건과 81
 
6.6%
회계정보과 49
 
4.0%
남부통합보건지소 44
 
3.6%
환경자원과 41
 
3.4%
건설과 41
 
3.4%
여성가족과 39
 
3.2%
범서읍 39
 
3.2%
도로과 35
 
2.9%
총무과 33
 
2.7%
축수산과 32
 
2.6%
Other values (42) 785
64.4%
2023-12-12T17:14:38.189985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
과 864
 
16.9%
보 206
 
4.0%
건 197
 
3.8%
정 193
 
3.8%
읍 162
 
3.2%
지 161
 
3.1%
책 113
 
2.2%
산 112
 
2.2%
무 109
 
2.1%
서 101
 
2.0%
Other values (82) 2900
56.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5068
99.0%
Decimal Number 50
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
과 864
 
17.0%
보 206
 
4.1%
건 197
 
3.9%
정 193
 
3.8%
읍 162
 
3.2%
지 161
 
3.2%
책 113
 
2.2%
산 112
 
2.2%
무 109
 
2.2%
서 101
 
2.0%
Other values (80) 2850
56.2%
Decimal Number
ValueCountFrequency (%)
2 27
54.0%
1 23
46.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5068
99.0%
Common 50
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
과 864
 
17.0%
보 206
 
4.1%
건 197
 
3.9%
정 193
 
3.8%
읍 162
 
3.2%
지 161
 
3.2%
책 113
 
2.2%
산 112
 
2.2%
무 109
 
2.2%
서 101
 
2.0%
Other values (80) 2850
56.2%
Common
ValueCountFrequency (%)
2 27
54.0%
1 23
46.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5068
99.0%
ASCII 50
 
1.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
과 864
 
17.0%
보 206
 
4.1%
건 197
 
3.9%
정 193
 
3.8%
읍 162
 
3.2%
지 161
 
3.2%
책 113
 
2.2%
산 112
 
2.2%
무 109
 
2.2%
서 101
 
2.0%
Other values (80) 2850
56.2%
ASCII
ValueCountFrequency (%)
2 27
54.0%
1 23
46.0%

업무
Text

Distinct1161
Distinct (%)95.6%
Missing5
Missing (%)0.4%
Memory size9.7 KiB
2023-12-12T17:14:38.493889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length189
Median length121
Mean length42.787479
Min length2

Characters and Unicode

Total characters51944
Distinct characters586
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1140 ?
Unique (%)93.9%

Sample

1st row군정 총괄
2nd row부군수
3rd row기획예산실 업무총괄
4th row기획업무 총괄
5th row조직업무, 주요업무계획수립, 연설문 작성, 공무직 정수 관리
ValueCountFrequency (%)
및 607
 
6.1%
업무 394
 
4.0%
관리 345
 
3.5%
총괄 229
 
2.3%
운영 159
 
1.6%
등 120
 
1.2%
지원 95
 
1.0%
89
 
0.9%
관련 77
 
0.8%
전반 63
 
0.6%
Other values (4117) 7711
78.0%
2023-12-12T17:14:39.037140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9032
 
17.4%
, 3029
 
5.8%
업 1314
 
2.5%
관 1194
 
2.3%
지 1104
 
2.1%
사 1054
 
2.0%
무 1045
 
2.0%
리 1002
 
1.9%
원 695
 
1.3%
( 639
 
1.2%
Other values (576) 31836
61.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 37886
72.9%
Space Separator 9032
 
17.4%
Other Punctuation 3377
 
6.5%
Open Punctuation 648
 
1.2%
Close Punctuation 647
 
1.2%
Decimal Number 196
 
0.4%
Uppercase Letter 108
 
0.2%
Dash Punctuation 34
 
0.1%
Lowercase Letter 8
 
< 0.1%
Modifier Symbol 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 1314
 
3.5%
관 1194
 
3.2%
지 1104
 
2.9%
사 1054
 
2.8%
무 1045
 
2.8%
리 1002
 
2.6%
원 695
 
1.8%
및 617
 
1.6%
산 488
 
1.3%
보 479
 
1.3%
Other values (523) 28894
76.3%
Uppercase Letter
ValueCountFrequency (%)
C 22
20.4%
T 13
12.0%
S 11
10.2%
V 10
9.3%
G 9
8.3%
I 8
 
7.4%
P 8
 
7.4%
A 8
 
7.4%
R 3
 
2.8%
E 3
 
2.8%
Other values (9) 13
12.0%
Decimal Number
ValueCountFrequency (%)
1 48
24.5%
2 46
23.5%
8 21
10.7%
9 19
 
9.7%
6 14
 
7.1%
3 12
 
6.1%
5 11
 
5.6%
4 11
 
5.6%
0 9
 
4.6%
7 5
 
2.6%
Other Punctuation
ValueCountFrequency (%)
, 3029
89.7%
/ 184
 
5.4%
? 104
 
3.1%
. 29
 
0.9%
& 11
 
0.3%
; 10
 
0.3%
# 10
 
0.3%
Lowercase Letter
ValueCountFrequency (%)
e 2
25.0%
i 2
25.0%
o 1
12.5%
t 1
12.5%
s 1
12.5%
w 1
12.5%
Open Punctuation
ValueCountFrequency (%)
( 639
98.6%
[ 8
 
1.2%
『 1
 
0.2%
Close Punctuation
ValueCountFrequency (%)
) 638
98.6%
] 8
 
1.2%
』 1
 
0.2%
Modifier Symbol
ValueCountFrequency (%)
` 5
83.3%
˙ 1
 
16.7%
Space Separator
ValueCountFrequency (%)
9032
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 34
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 37886
72.9%
Common 13942
 
26.8%
Latin 116
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 1314
 
3.5%
관 1194
 
3.2%
지 1104
 
2.9%
사 1054
 
2.8%
무 1045
 
2.8%
리 1002
 
2.6%
원 695
 
1.8%
및 617
 
1.6%
산 488
 
1.3%
보 479
 
1.3%
Other values (523) 28894
76.3%
Common
ValueCountFrequency (%)
9032
64.8%
, 3029
 
21.7%
( 639
 
4.6%
) 638
 
4.6%
/ 184
 
1.3%
? 104
 
0.7%
1 48
 
0.3%
2 46
 
0.3%
- 34
 
0.2%
. 29
 
0.2%
Other values (18) 159
 
1.1%
Latin
ValueCountFrequency (%)
C 22
19.0%
T 13
11.2%
S 11
9.5%
V 10
8.6%
G 9
7.8%
I 8
 
6.9%
P 8
 
6.9%
A 8
 
6.9%
R 3
 
2.6%
E 3
 
2.6%
Other values (15) 21
18.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 37882
72.9%
ASCII 14055
 
27.1%
Compat Jamo 4
 
< 0.1%
None 2
 
< 0.1%
Modifier Letters 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9032
64.3%
, 3029
 
21.6%
( 639
 
4.5%
) 638
 
4.5%
/ 184
 
1.3%
? 104
 
0.7%
1 48
 
0.3%
2 46
 
0.3%
- 34
 
0.2%
. 29
 
0.2%
Other values (40) 272
 
1.9%
Hangul
ValueCountFrequency (%)
업 1314
 
3.5%
관 1194
 
3.2%
지 1104
 
2.9%
사 1054
 
2.8%
무 1045
 
2.8%
리 1002
 
2.6%
원 695
 
1.8%
및 617
 
1.6%
산 488
 
1.3%
보 479
 
1.3%
Other values (522) 28890
76.3%
Compat Jamo
ValueCountFrequency (%)
ㆍ 4
100.0%
None
ValueCountFrequency (%)
『 1
50.0%
』 1
50.0%
Modifier Letters
ValueCountFrequency (%)
˙ 1
100.0%

Missing values

2023-12-12T17:14:35.122917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T17:14:35.226606image/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.
2023-12-12T17:14:35.348903image/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

성명직위전화번호부서업무
0이순걸군수052-204-0001군수군정 총괄
1김석명부군수052-204-0100부군수부군수
2박득선기획예산실장052-204-0110기획예산실기획예산실 업무총괄
3김병희기획담당052-204-0111기획예산실기획업무 총괄
4박제윤주무관052-204-0112기획예산실조직업무, 주요업무계획수립, 연설문 작성, 공무직 정수 관리
5신명근주무관052-204-0113기획예산실종합성과평가, 정부합동평가, 정책실명제
6신익수주무관052-204-0114기획예산실정부혁신, 정책만족도 조사, 우수시책 발굴(원탁토론회), 현안업무 보고, 일하는 방식개선
7류태욱주무관052-204-0115기획예산실주월간, 예산, 일상경비, 서무, 위원회, 상징물, 군정백서, 직원수첩
8엄진희예산담당052-204-0121기획예산실예산팀 업무총괄, 대규모투자사업관리, 주요업무보고
9안주영주무관052-204-0122기획예산실예산편성, 예비비사용승인, 이월예산관리, 예산의 이용전용변경이체 등
성명직위전화번호부서업무
1209최고은주무관052-204-4963삼동면일반서무, 주민소통실(이장, 주민자치), 인재교육과, 도서관과, 보안등, 관광과, 회계정보과(경리, 계약, 청사관리 제외), 동향
1210박해원주무관052-204-4965삼동면정부(군민) 긴급재난지원금, 안전총괄과, 건설과, 도로과, 문화체육과(문화누리카드 제외), 관용차량 관리, 문서수발
1211도형우주무관052-204-4964삼동면국민기초생활보장 수급자 신청 및 관리, 차상위계층 신청 및 관리, 한부모가족, 문화체육과(문화누리카드), 초중고교육급여, 주거복지, 보훈, 사회복지일반(재해구호, 노숙인)
1212김애란주무관052-204-4966삼동면장애인복지, 지역사회서비스투자사업(바우처 등),노인복지일반(노인사회활동지원사업, 기초연금 등),경로당, 여성가족과(청소년, 보육, 아동, 출산원스톱),장사업무
1213전종범산업담당052-204-4971삼동면산업팀 업무총괄 도시과 도시개발추진단 농지관리(농지전용 타용도일시사용 불법농지 관리
1214신경은주무관052-204-4972삼동면농업지원사업, 농지원부 관리, 직불제사업, 공공비축미곡 수매, 6차산업추진단
1215이지훈주무관052-204-4973삼동면지역경제과, 일자리정책과, 축수산과, 건축과, 산림공원과, 시설지원과
1216김태연민원담당052-204-4981삼동면민원 업무 총괄, 가족관계등록 사무, 인구동태, 결격사유조회, 환경자원과
1217이상문주무관052-204-4982삼동면세무1과, 통합민원발급, 가족관계등록신고 접수, 토지정보과, 에너지정책과, 위생과, 민방위업무
1218천재경주무관052-204-4983삼동면세무2과, 통합민원발급, 가족관계등록신고 접수, , 주민등록 및 인감, 취학아동, 이륜차업무