Overview

Dataset statistics

Number of variables4
Number of observations38
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.3 KiB
Average record size in memory36.4 B

Variable types

Numeric1
Text3

Dataset

Description금정구 내에 등록된 직업소개사업 목록입니다.(2024년 2월 기준)상호명, 소재지주소, 대표자명을 포함하고 있습니다.
Author부산광역시 금정구
URLhttps://www.data.go.kr/data/15112351/fileData.do

Alerts

순번 has unique valuesUnique
상호명 has unique valuesUnique
사업소도로명주소 has unique valuesUnique
대표자명 has unique valuesUnique

Reproduction

Analysis started2024-03-14 19:05:50.186351
Analysis finished2024-03-14 19:05:51.322881
Duration1.14 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.5
Minimum1
Maximum38
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size470.0 B
2024-03-15T04:05:51.526298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.85
Q110.25
median19.5
Q328.75
95-th percentile36.15
Maximum38
Range37
Interquartile range (IQR)18.5

Descriptive statistics

Standard deviation11.113055
Coefficient of variation (CV)0.56990028
Kurtosis-1.2
Mean19.5
Median Absolute Deviation (MAD)9.5
Skewness0
Sum741
Variance123.5
MonotonicityStrictly increasing
2024-03-15T04:05:51.923190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
1 1
 
2.6%
30 1
 
2.6%
23 1
 
2.6%
24 1
 
2.6%
25 1
 
2.6%
26 1
 
2.6%
27 1
 
2.6%
28 1
 
2.6%
29 1
 
2.6%
31 1
 
2.6%
Other values (28) 28
73.7%
ValueCountFrequency (%)
1 1
2.6%
2 1
2.6%
3 1
2.6%
4 1
2.6%
5 1
2.6%
6 1
2.6%
7 1
2.6%
8 1
2.6%
9 1
2.6%
10 1
2.6%
ValueCountFrequency (%)
38 1
2.6%
37 1
2.6%
36 1
2.6%
35 1
2.6%
34 1
2.6%
33 1
2.6%
32 1
2.6%
31 1
2.6%
30 1
2.6%
29 1
2.6%

상호명
Text

UNIQUE 

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size432.0 B
2024-03-15T04:05:52.773019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length6.2105263
Min length3

Characters and Unicode

Total characters236
Distinct characters104
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique38 ?
Unique (%)100.0%

Sample

1st row안심홈케어
2nd row위드인력
3rd row파워인력개발
4th row조은맘 산후도우미 서부산점
5th row명장인력 부산금정점
ValueCountFrequency (%)
안심홈케어 1
 
2.1%
세화인력 1
 
2.1%
간병협회 1
 
2.1%
고고 1
 
2.1%
인력 1
 
2.1%
세기인력개발 1
 
2.1%
사송인력 1
 
2.1%
주)커리어다움 1
 
2.1%
태경인력개발 1
 
2.1%
노가다 1
 
2.1%
Other values (37) 37
78.7%
2024-03-15T04:05:53.891090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
인 22
 
9.3%
력 18
 
7.6%
개 14
 
5.9%
발 13
 
5.5%
9
 
3.8%
주 6
 
2.5%
) 5
 
2.1%
회 5
 
2.1%
사 5
 
2.1%
( 5
 
2.1%
Other values (94) 134
56.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 217
91.9%
Space Separator 9
 
3.8%
Close Punctuation 5
 
2.1%
Open Punctuation 5
 
2.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 22
 
10.1%
력 18
 
8.3%
개 14
 
6.5%
발 13
 
6.0%
주 6
 
2.8%
회 5
 
2.3%
사 5
 
2.3%
산 4
 
1.8%
다 3
 
1.4%
우 3
 
1.4%
Other values (91) 124
57.1%
Space Separator
ValueCountFrequency (%)
9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 217
91.9%
Common 19
 
8.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 22
 
10.1%
력 18
 
8.3%
개 14
 
6.5%
발 13
 
6.0%
주 6
 
2.8%
회 5
 
2.3%
사 5
 
2.3%
산 4
 
1.8%
다 3
 
1.4%
우 3
 
1.4%
Other values (91) 124
57.1%
Common
ValueCountFrequency (%)
9
47.4%
) 5
26.3%
( 5
26.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 217
91.9%
ASCII 19
 
8.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
인 22
 
10.1%
력 18
 
8.3%
개 14
 
6.5%
발 13
 
6.0%
주 6
 
2.8%
회 5
 
2.3%
사 5
 
2.3%
산 4
 
1.8%
다 3
 
1.4%
우 3
 
1.4%
Other values (91) 124
57.1%
ASCII
ValueCountFrequency (%)
9
47.4%
) 5
26.3%
( 5
26.3%

사업소도로명주소
Text

UNIQUE 

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size432.0 B
2024-03-15T04:05:54.921535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length40
Mean length28.973684
Min length22

Characters and Unicode

Total characters1101
Distinct characters73
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique38 ?
Unique (%)100.0%

Sample

1st row부산광역시 금정구 금강로 557. 지하1층 (구서동)
2nd row부산광역시 금정구 무학송로 132. 205호 (부곡동)
3rd row부산광역시 금정구 서동로175번길 32. 4층 (서동)
4th row부산광역시 금정구 부곡로 27. 301호 (부곡동)
5th row부산광역시 금정구 중앙대로 2044. 2층 (남산동)
ValueCountFrequency (%)
부산광역시 38
17.2%
금정구 38
17.2%
부곡동 11
 
5.0%
중앙대로 8
 
3.6%
2층 8
 
3.6%
남산동 7
 
3.2%
3층 7
 
3.2%
구서동 4
 
1.8%
장전동 4
 
1.8%
반송로 4
 
1.8%
Other values (78) 92
41.6%
2024-03-15T04:05:56.362401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
183
 
16.6%
부 55
 
5.0%
금 49
 
4.5%
구 45
 
4.1%
산 45
 
4.1%
시 43
 
3.9%
동 42
 
3.8%
정 41
 
3.7%
로 38
 
3.5%
역 38
 
3.5%
Other values (63) 522
47.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 629
57.1%
Space Separator 183
 
16.6%
Decimal Number 176
 
16.0%
Close Punctuation 38
 
3.5%
Open Punctuation 38
 
3.5%
Other Punctuation 30
 
2.7%
Dash Punctuation 7
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 55
 
8.7%
금 49
 
7.8%
구 45
 
7.2%
산 45
 
7.2%
시 43
 
6.8%
동 42
 
6.7%
정 41
 
6.5%
로 38
 
6.0%
역 38
 
6.0%
광 38
 
6.0%
Other values (48) 195
31.0%
Decimal Number
ValueCountFrequency (%)
1 35
19.9%
2 33
18.8%
3 21
11.9%
5 18
10.2%
0 17
9.7%
4 14
 
8.0%
7 13
 
7.4%
9 11
 
6.2%
6 8
 
4.5%
8 6
 
3.4%
Space Separator
ValueCountFrequency (%)
183
100.0%
Close Punctuation
ValueCountFrequency (%)
) 38
100.0%
Open Punctuation
ValueCountFrequency (%)
( 38
100.0%
Other Punctuation
ValueCountFrequency (%)
. 30
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 629
57.1%
Common 472
42.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 55
 
8.7%
금 49
 
7.8%
구 45
 
7.2%
산 45
 
7.2%
시 43
 
6.8%
동 42
 
6.7%
정 41
 
6.5%
로 38
 
6.0%
역 38
 
6.0%
광 38
 
6.0%
Other values (48) 195
31.0%
Common
ValueCountFrequency (%)
183
38.8%
) 38
 
8.1%
( 38
 
8.1%
1 35
 
7.4%
2 33
 
7.0%
. 30
 
6.4%
3 21
 
4.4%
5 18
 
3.8%
0 17
 
3.6%
4 14
 
3.0%
Other values (5) 45
 
9.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 629
57.1%
ASCII 472
42.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
183
38.8%
) 38
 
8.1%
( 38
 
8.1%
1 35
 
7.4%
2 33
 
7.0%
. 30
 
6.4%
3 21
 
4.4%
5 18
 
3.8%
0 17
 
3.6%
4 14
 
3.0%
Other values (5) 45
 
9.5%
Hangul
ValueCountFrequency (%)
부 55
 
8.7%
금 49
 
7.8%
구 45
 
7.2%
산 45
 
7.2%
시 43
 
6.8%
동 42
 
6.7%
정 41
 
6.5%
로 38
 
6.0%
역 38
 
6.0%
광 38
 
6.0%
Other values (48) 195
31.0%

대표자명
Text

UNIQUE 

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size432.0 B
2024-03-15T04:05:57.269714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters114
Distinct characters59
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

Unique38 ?
Unique (%)100.0%

Sample

1st row최병희
2nd row김수민
3rd row박성일
4th row백린아
5th row김운태
ValueCountFrequency (%)
최병희 1
 
2.6%
김영탁 1
 
2.6%
김경숙 1
 
2.6%
정희영 1
 
2.6%
홍기식 1
 
2.6%
박희섭 1
 
2.6%
김대경 1
 
2.6%
위승준 1
 
2.6%
김보람 1
 
2.6%
김재호 1
 
2.6%
Other values (28) 28
73.7%
2024-03-15T04:05:58.485383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 13
 
11.4%
희 7
 
6.1%
박 6
 
5.3%
영 5
 
4.4%
호 4
 
3.5%
최 3
 
2.6%
경 3
 
2.6%
일 3
 
2.6%
성 3
 
2.6%
대 3
 
2.6%
Other values (49) 64
56.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 114
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 13
 
11.4%
희 7
 
6.1%
박 6
 
5.3%
영 5
 
4.4%
호 4
 
3.5%
최 3
 
2.6%
경 3
 
2.6%
일 3
 
2.6%
성 3
 
2.6%
대 3
 
2.6%
Other values (49) 64
56.1%

Most occurring scripts

ValueCountFrequency (%)
Hangul 114
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 13
 
11.4%
희 7
 
6.1%
박 6
 
5.3%
영 5
 
4.4%
호 4
 
3.5%
최 3
 
2.6%
경 3
 
2.6%
일 3
 
2.6%
성 3
 
2.6%
대 3
 
2.6%
Other values (49) 64
56.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 114
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 13
 
11.4%
희 7
 
6.1%
박 6
 
5.3%
영 5
 
4.4%
호 4
 
3.5%
최 3
 
2.6%
경 3
 
2.6%
일 3
 
2.6%
성 3
 
2.6%
대 3
 
2.6%
Other values (49) 64
56.1%

Interactions

2024-03-15T04:05:50.580933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T04:05:58.711849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번상호명사업소도로명주소대표자명
순번1.0001.0001.0001.000
상호명1.0001.0001.0001.000
사업소도로명주소1.0001.0001.0001.000
대표자명1.0001.0001.0001.000

Missing values

2024-03-15T04:05:50.930506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T04:05:51.210644image/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

순번상호명사업소도로명주소대표자명
01안심홈케어부산광역시 금정구 금강로 557. 지하1층 (구서동)최병희
12위드인력부산광역시 금정구 무학송로 132. 205호 (부곡동)김수민
23파워인력개발부산광역시 금정구 서동로175번길 32. 4층 (서동)박성일
34조은맘 산후도우미 서부산점부산광역시 금정구 부곡로 27. 301호 (부곡동)백린아
45명장인력 부산금정점부산광역시 금정구 중앙대로 2044. 2층 (남산동)김운태
56승룡인력센터부산광역시 금정구 서부로46번길 15(서동)하명일
67영림인력개발부산광역시 금정구 중앙대로 2074. 3층 (남산동)김정아
78남산인력부산광역시 금정구 중앙대로 2041. 3층 (남산동)이필우
89피앤제이에이치알 주식회사부산광역시 금정구 중앙대로 2003. 3층 (남산동)임대성
910봄날간병인협회부산광역시 금정구 부곡로 47-1(부곡동)박인희
순번상호명사업소도로명주소대표자명
2829(주)사회복지 동행부산광역시 금정구 구서온천천로 63. 2층 (구서동. 아름베스트빌 1차)정은호
2930전진씨앤디부산광역시 금정구 두실로23번길 28. 2층 (구서동)김재호
3031예스콘부산광역시 금정구 중앙대로 2120. 105동 1502호 (청룡동. 협성엠파이어)신영달
3132진성개발부산광역시 금정구 반송로 410. 2층 (금사동)김미화
3233모든인력개발부산광역시 금정구 금사로 90-1 (금사동)김주석
3334금정시니어클럽부산광역시 금정구 팔송로39번길 109 (남산동)채종현
3435(주)헬퍼부산광역시 금정구 오시게로28번길 19. 3층 (부곡동)강신창
3536조은인력개발부산광역시 금정구 서부곡로5번길 28 (부곡동)우구섭
3637사송인력부산광역시 금정구 오시게로58번길 1 (부곡동.2층)김경숙
3738화목개발부산광역시 금정구 오시게로 48-1 (부곡동)전완호