Overview

Dataset statistics

Number of variables4
Number of observations33
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.2 KiB
Average record size in memory37.0 B

Variable types

Numeric1
Text3

Dataset

Description부산광역시금정구_직업소개소현황_20230215
Author부산광역시 금정구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15112351

Alerts

순번 has unique valuesUnique
법인명 has unique valuesUnique
사업소도로명주소 has unique valuesUnique
대표자명 has unique valuesUnique

Reproduction

Analysis started2023-12-10 16:07:40.686726
Analysis finished2023-12-10 16:07:41.212395
Duration0.53 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17
Minimum1
Maximum33
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2023-12-11T01:07:41.311489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.6
Q19
median17
Q325
95-th percentile31.4
Maximum33
Range32
Interquartile range (IQR)16

Descriptive statistics

Standard deviation9.6695398
Coefficient of variation (CV)0.56879646
Kurtosis-1.2
Mean17
Median Absolute Deviation (MAD)8
Skewness0
Sum561
Variance93.5
MonotonicityStrictly increasing
2023-12-11T01:07:41.483289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
1 1
 
3.0%
26 1
 
3.0%
20 1
 
3.0%
21 1
 
3.0%
22 1
 
3.0%
23 1
 
3.0%
24 1
 
3.0%
25 1
 
3.0%
27 1
 
3.0%
2 1
 
3.0%
Other values (23) 23
69.7%
ValueCountFrequency (%)
1 1
3.0%
2 1
3.0%
3 1
3.0%
4 1
3.0%
5 1
3.0%
6 1
3.0%
7 1
3.0%
8 1
3.0%
9 1
3.0%
10 1
3.0%
ValueCountFrequency (%)
33 1
3.0%
32 1
3.0%
31 1
3.0%
30 1
3.0%
29 1
3.0%
28 1
3.0%
27 1
3.0%
26 1
3.0%
25 1
3.0%
24 1
3.0%

법인명
Text

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2023-12-11T01:07:41.773387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length6.0909091
Min length3

Characters and Unicode

Total characters201
Distinct characters89
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

Unique33 ?
Unique (%)100.0%

Sample

1st row영림인력개발
2nd row남산인력
3rd row피앤제이에이치알 주식회사
4th row봄날간병인협회
5th row금정장애인자립생활센터
ValueCountFrequency (%)
영림인력개발 1
 
2.6%
동행 1
 
2.6%
태경인력개발 1
 
2.6%
노가다 1
 
2.6%
주)취업인 1
 
2.6%
세화인력 1
 
2.6%
보경인력개발 1
 
2.6%
주)소암 1
 
2.6%
주)사회복지 1
 
2.6%
상생인력개발 1
 
2.6%
Other values (29) 29
74.4%
2023-12-11T01:07:42.221113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
인 19
 
9.5%
력 15
 
7.5%
개 14
 
7.0%
발 13
 
6.5%
사 6
 
3.0%
주 6
 
3.0%
) 6
 
3.0%
( 6
 
3.0%
6
 
3.0%
회 5
 
2.5%
Other values (79) 105
52.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 183
91.0%
Close Punctuation 6
 
3.0%
Open Punctuation 6
 
3.0%
Space Separator 6
 
3.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 19
 
10.4%
력 15
 
8.2%
개 14
 
7.7%
발 13
 
7.1%
사 6
 
3.3%
주 6
 
3.3%
회 5
 
2.7%
다 3
 
1.6%
생 3
 
1.6%
병 3
 
1.6%
Other values (76) 96
52.5%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Space Separator
ValueCountFrequency (%)
6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 183
91.0%
Common 18
 
9.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 19
 
10.4%
력 15
 
8.2%
개 14
 
7.7%
발 13
 
7.1%
사 6
 
3.3%
주 6
 
3.3%
회 5
 
2.7%
다 3
 
1.6%
생 3
 
1.6%
병 3
 
1.6%
Other values (76) 96
52.5%
Common
ValueCountFrequency (%)
) 6
33.3%
( 6
33.3%
6
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 183
91.0%
ASCII 18
 
9.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
인 19
 
10.4%
력 15
 
8.2%
개 14
 
7.7%
발 13
 
7.1%
사 6
 
3.3%
주 6
 
3.3%
회 5
 
2.7%
다 3
 
1.6%
생 3
 
1.6%
병 3
 
1.6%
Other values (76) 96
52.5%
ASCII
ValueCountFrequency (%)
) 6
33.3%
( 6
33.3%
6
33.3%

사업소도로명주소
Text

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2023-12-11T01:07:42.536292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length32
Mean length28.454545
Min length22

Characters and Unicode

Total characters939
Distinct characters67
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

Unique33 ?
Unique (%)100.0%

Sample

1st row부산광역시 금정구 중앙대로 2074. 3층 (남산동)
2nd row부산광역시 금정구 중앙대로 2041. 3층 (남산동)
3rd row부산광역시 금정구 중앙대로 2003. 3층 (남산동)
4th row부산광역시 금정구 부곡로 47-1(부곡동)
5th row부산광역시 금정구 중앙대로 1675. 2층 (부곡동)
ValueCountFrequency (%)
부산광역시 33
17.4%
금정구 33
17.4%
부곡동 9
 
4.7%
2층 8
 
4.2%
중앙대로 7
 
3.7%
3층 7
 
3.7%
남산동 6
 
3.2%
구서동 5
 
2.6%
장전동 4
 
2.1%
반송로 4
 
2.1%
Other values (63) 74
38.9%
2023-12-11T01:07:42.977761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
157
 
16.7%
부 46
 
4.9%
금 44
 
4.7%
구 39
 
4.2%
산 39
 
4.2%
시 38
 
4.0%
정 36
 
3.8%
동 34
 
3.6%
( 33
 
3.5%
광 33
 
3.5%
Other values (57) 440
46.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 540
57.5%
Space Separator 157
 
16.7%
Decimal Number 145
 
15.4%
Open Punctuation 33
 
3.5%
Close Punctuation 33
 
3.5%
Other Punctuation 24
 
2.6%
Dash Punctuation 7
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 46
 
8.5%
금 44
 
8.1%
구 39
 
7.2%
산 39
 
7.2%
시 38
 
7.0%
정 36
 
6.7%
동 34
 
6.3%
광 33
 
6.1%
역 33
 
6.1%
로 33
 
6.1%
Other values (42) 165
30.6%
Decimal Number
ValueCountFrequency (%)
1 27
18.6%
2 27
18.6%
3 19
13.1%
5 14
9.7%
0 12
8.3%
9 11
7.6%
4 10
 
6.9%
7 9
 
6.2%
6 8
 
5.5%
8 8
 
5.5%
Space Separator
ValueCountFrequency (%)
157
100.0%
Open Punctuation
ValueCountFrequency (%)
( 33
100.0%
Close Punctuation
ValueCountFrequency (%)
) 33
100.0%
Other Punctuation
ValueCountFrequency (%)
. 24
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 540
57.5%
Common 399
42.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 46
 
8.5%
금 44
 
8.1%
구 39
 
7.2%
산 39
 
7.2%
시 38
 
7.0%
정 36
 
6.7%
동 34
 
6.3%
광 33
 
6.1%
역 33
 
6.1%
로 33
 
6.1%
Other values (42) 165
30.6%
Common
ValueCountFrequency (%)
157
39.3%
( 33
 
8.3%
) 33
 
8.3%
1 27
 
6.8%
2 27
 
6.8%
. 24
 
6.0%
3 19
 
4.8%
5 14
 
3.5%
0 12
 
3.0%
9 11
 
2.8%
Other values (5) 42
 
10.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 540
57.5%
ASCII 399
42.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
157
39.3%
( 33
 
8.3%
) 33
 
8.3%
1 27
 
6.8%
2 27
 
6.8%
. 24
 
6.0%
3 19
 
4.8%
5 14
 
3.5%
0 12
 
3.0%
9 11
 
2.8%
Other values (5) 42
 
10.5%
Hangul
ValueCountFrequency (%)
부 46
 
8.5%
금 44
 
8.1%
구 39
 
7.2%
산 39
 
7.2%
시 38
 
7.0%
정 36
 
6.7%
동 34
 
6.3%
광 33
 
6.1%
역 33
 
6.1%
로 33
 
6.1%
Other values (42) 165
30.6%

대표자명
Text

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2023-12-11T01:07:43.192638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters99
Distinct characters52
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

Unique33 ?
Unique (%)100.0%

Sample

1st row김정아
2nd row이필우
3rd row임대성
4th row박인희
5th row김호상
ValueCountFrequency (%)
김정아 1
 
3.0%
홍기식 1
 
3.0%
김경숙 1
 
3.0%
우구섭 1
 
3.0%
강신창 1
 
3.0%
채종현 1
 
3.0%
김주석 1
 
3.0%
김미화 1
 
3.0%
김재호 1
 
3.0%
최재은 1
 
3.0%
Other values (23) 23
69.7%
2023-12-11T01:07:43.514370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 12
 
12.1%
희 6
 
6.1%
박 5
 
5.1%
영 4
 
4.0%
정 4
 
4.0%
호 4
 
4.0%
경 3
 
3.0%
최 3
 
3.0%
대 3
 
3.0%
준 2
 
2.0%
Other values (42) 53
53.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 99
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 12
 
12.1%
희 6
 
6.1%
박 5
 
5.1%
영 4
 
4.0%
정 4
 
4.0%
호 4
 
4.0%
경 3
 
3.0%
최 3
 
3.0%
대 3
 
3.0%
준 2
 
2.0%
Other values (42) 53
53.5%

Most occurring scripts

ValueCountFrequency (%)
Hangul 99
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 12
 
12.1%
희 6
 
6.1%
박 5
 
5.1%
영 4
 
4.0%
정 4
 
4.0%
호 4
 
4.0%
경 3
 
3.0%
최 3
 
3.0%
대 3
 
3.0%
준 2
 
2.0%
Other values (42) 53
53.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 99
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 12
 
12.1%
희 6
 
6.1%
박 5
 
5.1%
영 4
 
4.0%
정 4
 
4.0%
호 4
 
4.0%
경 3
 
3.0%
최 3
 
3.0%
대 3
 
3.0%
준 2
 
2.0%
Other values (42) 53
53.5%

Interactions

2023-12-11T01:07:40.885614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T01:07:43.604021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번법인명사업소도로명주소대표자명
순번1.0001.0001.0001.000
법인명1.0001.0001.0001.000
사업소도로명주소1.0001.0001.0001.000
대표자명1.0001.0001.0001.000

Missing values

2023-12-11T01:07:41.037610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:07:41.157279image/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

순번법인명사업소도로명주소대표자명
01영림인력개발부산광역시 금정구 중앙대로 2074. 3층 (남산동)김정아
12남산인력부산광역시 금정구 중앙대로 2041. 3층 (남산동)이필우
23피앤제이에이치알 주식회사부산광역시 금정구 중앙대로 2003. 3층 (남산동)임대성
34봄날간병인협회부산광역시 금정구 부곡로 47-1(부곡동)박인희
45금정장애인자립생활센터부산광역시 금정구 중앙대로 1675. 2층 (부곡동)김호상
56개미인력부산광역시 금정구 반송로 355. 3층 (서동)최경동
67우성인력부산광역시 금정구 오시게로 40. 지하 1층 (부곡동)이동훈
78부곡개발부산광역시 금정구 동현로16번길 92. 1층 (부곡동)백대인
89대한인력개발부산광역시 금정구 금정로 135 (장전동)최상미
910굿모닝 인력개발부산광역시 금정구 중앙대로 2112(청룡동)박원희
순번법인명사업소도로명주소대표자명
2324(주)사회복지 동행부산광역시 금정구 구서온천천로 63. 2층 (구서동. 아름베스트빌 1차)정은호
2425상생인력개발부산광역시 금정구 수림로50번길 202. 지하층 (구서동)최재은
2526전진씨앤디부산광역시 금정구 두실로23번길 28. 2층 (구서동)김재호
2627진성개발부산광역시 금정구 반송로 410. 2층 (금사동)김미화
2728모든인력개발부산광역시 금정구 금사로 90-1 (금사동)김주석
2829금정시니어클럽부산광역시 금정구 팔송로39번길 109 (남산동)채종현
2930(주)헬퍼부산광역시 금정구 오시게로28번길 19. 3층 (부곡동)강신창
3031조은인력개발부산광역시 금정구 서부곡로5번길 28 (부곡동)우구섭
3132사송인력부산광역시 금정구 오시게로58번길 1 (부곡동.2층)김경숙
3233화목개발부산광역시 금정구 오시게로 48-1 (부곡동)전완호