Overview

Dataset statistics

Number of variables6
Number of observations51
Missing cells51
Missing cells (%)16.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.6 KiB
Average record size in memory52.6 B

Variable types

Numeric1
Categorical1
Text3
Unsupported1

Dataset

Description경상남도에 등록되어 운영되고 있는 무료 직업소개소에 대한 정보로, 업체명과 업체 주소 및 개소 날짜 등에 대한 현황입니다
Author경상남도
URLhttps://www.data.go.kr/data/15102839/fileData.do

Alerts

번호 is highly overall correlated with 등록기관명High correlation
등록기관명 is highly overall correlated with 번호High correlation
비고 has 51 (100.0%) missing valuesMissing
번호 has unique valuesUnique
사업장명 has unique valuesUnique
소재지 has unique valuesUnique
비고 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-12 06:50:04.898141
Analysis finished2023-12-12 06:50:05.538664
Duration0.64 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26
Minimum1
Maximum51
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size591.0 B
2023-12-12T15:50:05.656827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.5
Q113.5
median26
Q338.5
95-th percentile48.5
Maximum51
Range50
Interquartile range (IQR)25

Descriptive statistics

Standard deviation14.866069
Coefficient of variation (CV)0.57177187
Kurtosis-1.2
Mean26
Median Absolute Deviation (MAD)13
Skewness0
Sum1326
Variance221
MonotonicityStrictly increasing
2023-12-12T15:50:05.853798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
2.0%
2 1
 
2.0%
29 1
 
2.0%
30 1
 
2.0%
31 1
 
2.0%
32 1
 
2.0%
33 1
 
2.0%
34 1
 
2.0%
35 1
 
2.0%
36 1
 
2.0%
Other values (41) 41
80.4%
ValueCountFrequency (%)
1 1
2.0%
2 1
2.0%
3 1
2.0%
4 1
2.0%
5 1
2.0%
6 1
2.0%
7 1
2.0%
8 1
2.0%
9 1
2.0%
10 1
2.0%
ValueCountFrequency (%)
51 1
2.0%
50 1
2.0%
49 1
2.0%
48 1
2.0%
47 1
2.0%
46 1
2.0%
45 1
2.0%
44 1
2.0%
43 1
2.0%
42 1
2.0%

등록기관명
Categorical

HIGH CORRELATION 

Distinct13
Distinct (%)25.5%
Missing0
Missing (%)0.0%
Memory size540.0 B
경상남도 창원시
20 
경상남도 밀양시
경상남도 김해시
경상남도 양산시
경상남도 진주시
Other values (8)
13 

Length

Max length9
Median length8
Mean length8.3921569
Min length8

Unique

Unique4 ?
Unique (%)7.8%

Sample

1st row경상남도 창원시
2nd row경상남도 창원시
3rd row경상남도 창원시
4th row경상남도 창원시
5th row경상남도 창원시

Common Values

ValueCountFrequency (%)
경상남도 창원시 20
39.2%
경상남도 밀양시 6
 
11.8%
경상남도 김해시 5
 
9.8%
경상남도 양산시 4
 
7.8%
경상남도 진주시 3
 
5.9%
경남남도 통영시 3
 
5.9%
경상남도 사천시 2
 
3.9%
경상남도 함안군 2
 
3.9%
경상남도 합천군 2
 
3.9%
경상남도 거제시 1
 
2.0%
Other values (3) 3
 
5.9%

Length

2023-12-12T15:50:05.976182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경상남도 48
47.1%
창원시 20
19.6%
밀양시 6
 
5.9%
김해시 5
 
4.9%
양산시 4
 
3.9%
진주시 3
 
2.9%
경남남도 3
 
2.9%
통영시 3
 
2.9%
사천시 2
 
2.0%
함안군 2
 
2.0%
Other values (5) 6
 
5.9%

사업장명
Text

UNIQUE 

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size540.0 B
2023-12-12T15:50:06.187333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length19
Mean length13.843137
Min length6

Characters and Unicode

Total characters706
Distinct characters140
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

Unique51 ?
Unique (%)100.0%

Sample

1st row(재)창원산업진흥원
2nd row사단법인 느티나무경상남도장애인부모회
3rd row창원상공회의소
4th row경남장애인종합복지관무료직업소개소
5th row한국산재노동자협회경남지역본부
ValueCountFrequency (%)
사회적협동조합 3
 
4.4%
사단법인 3
 
4.4%
무료직업소개소 3
 
4.4%
사)대한노인회 2
 
2.9%
밀양시장애인복지관 1
 
1.5%
사천상공회의소 1
 
1.5%
경남밀양지역자활센터 1
 
1.5%
밀양상공회의소 1
 
1.5%
밀양시농산업인력지원사회적협동조합 1
 
1.5%
김해노인일자리창출지원센터 1
 
1.5%
Other values (51) 51
75.0%
2023-12-12T15:50:06.555183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
33
 
4.7%
31
 
4.4%
28
 
4.0%
24
 
3.4%
24
 
3.4%
21
 
3.0%
19
 
2.7%
18
 
2.5%
17
 
2.4%
17
 
2.4%
Other values (130) 474
67.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 661
93.6%
Space Separator 17
 
2.4%
Open Punctuation 14
 
2.0%
Close Punctuation 14
 
2.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
33
 
5.0%
31
 
4.7%
28
 
4.2%
24
 
3.6%
24
 
3.6%
21
 
3.2%
19
 
2.9%
18
 
2.7%
17
 
2.6%
16
 
2.4%
Other values (127) 430
65.1%
Space Separator
ValueCountFrequency (%)
17
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 661
93.6%
Common 45
 
6.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
33
 
5.0%
31
 
4.7%
28
 
4.2%
24
 
3.6%
24
 
3.6%
21
 
3.2%
19
 
2.9%
18
 
2.7%
17
 
2.6%
16
 
2.4%
Other values (127) 430
65.1%
Common
ValueCountFrequency (%)
17
37.8%
( 14
31.1%
) 14
31.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 661
93.6%
ASCII 45
 
6.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
33
 
5.0%
31
 
4.7%
28
 
4.2%
24
 
3.6%
24
 
3.6%
21
 
3.2%
19
 
2.9%
18
 
2.7%
17
 
2.6%
16
 
2.4%
Other values (127) 430
65.1%
ASCII
ValueCountFrequency (%)
17
37.8%
( 14
31.1%
) 14
31.1%

소재지
Text

UNIQUE 

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size540.0 B
2023-12-12T15:50:06.810352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length38
Mean length31.45098
Min length16

Characters and Unicode

Total characters1604
Distinct characters158
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

Unique51 ?
Unique (%)100.0%

Sample

1st row경상남도 창원시 의창구 창원대로18번길 46. 경남창원과학기술진흥원 (팔용동)
2nd row경상남도 창원시 의창구 도계두리길 20. 1층 (도계동)
3rd row경상남도 창원시 의창구 중앙대로 166. 창원상공회의소 (신월동)
4th row경상남도 창원시 의창구 봉곡로97번길 85 (봉곡동)
5th row경상남도 창원시 의창구 차상로18번길 45. 205-3호 (팔용동.농산물도매시장 청과)
ValueCountFrequency (%)
경상남도 46
 
14.1%
창원시 20
 
6.1%
성산구 11
 
3.4%
밀양시 6
 
1.8%
김해시 6
 
1.8%
의창구 5
 
1.5%
1층 5
 
1.5%
신월동 4
 
1.2%
용지로 4
 
1.2%
양산시 4
 
1.2%
Other values (179) 215
66.0%
2023-12-12T15:50:07.244648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
275
 
17.1%
60
 
3.7%
60
 
3.7%
52
 
3.2%
51
 
3.2%
51
 
3.2%
1 47
 
2.9%
47
 
2.9%
( 42
 
2.6%
) 42
 
2.6%
Other values (148) 877
54.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 974
60.7%
Space Separator 275
 
17.1%
Decimal Number 221
 
13.8%
Other Punctuation 43
 
2.7%
Open Punctuation 42
 
2.6%
Close Punctuation 42
 
2.6%
Dash Punctuation 7
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
60
 
6.2%
60
 
6.2%
52
 
5.3%
51
 
5.2%
51
 
5.2%
47
 
4.8%
36
 
3.7%
34
 
3.5%
31
 
3.2%
25
 
2.6%
Other values (131) 527
54.1%
Decimal Number
ValueCountFrequency (%)
1 47
21.3%
2 39
17.6%
4 26
11.8%
5 25
11.3%
0 22
10.0%
3 15
 
6.8%
7 14
 
6.3%
6 14
 
6.3%
9 11
 
5.0%
8 8
 
3.6%
Other Punctuation
ValueCountFrequency (%)
. 36
83.7%
, 6
 
14.0%
/ 1
 
2.3%
Space Separator
ValueCountFrequency (%)
275
100.0%
Open Punctuation
ValueCountFrequency (%)
( 42
100.0%
Close Punctuation
ValueCountFrequency (%)
) 42
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 974
60.7%
Common 630
39.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
60
 
6.2%
60
 
6.2%
52
 
5.3%
51
 
5.2%
51
 
5.2%
47
 
4.8%
36
 
3.7%
34
 
3.5%
31
 
3.2%
25
 
2.6%
Other values (131) 527
54.1%
Common
ValueCountFrequency (%)
275
43.7%
1 47
 
7.5%
( 42
 
6.7%
) 42
 
6.7%
2 39
 
6.2%
. 36
 
5.7%
4 26
 
4.1%
5 25
 
4.0%
0 22
 
3.5%
3 15
 
2.4%
Other values (7) 61
 
9.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 974
60.7%
ASCII 630
39.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
275
43.7%
1 47
 
7.5%
( 42
 
6.7%
) 42
 
6.7%
2 39
 
6.2%
. 36
 
5.7%
4 26
 
4.1%
5 25
 
4.0%
0 22
 
3.5%
3 15
 
2.4%
Other values (7) 61
 
9.7%
Hangul
ValueCountFrequency (%)
60
 
6.2%
60
 
6.2%
52
 
5.3%
51
 
5.2%
51
 
5.2%
47
 
4.8%
36
 
3.7%
34
 
3.5%
31
 
3.2%
25
 
2.6%
Other values (131) 527
54.1%
Distinct50
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Memory size540.0 B
2023-12-12T15:50:07.451142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length10
Mean length11.72549
Min length10

Characters and Unicode

Total characters598
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique49 ?
Unique (%)96.1%

Sample

1st row2021-12-28
2nd row2020-06-10
3rd row2018-06-15
4th row2008-04-02
5th row2007-04-09
ValueCountFrequency (%)
2014-01-13 2
 
3.9%
2008-01-18 1
 
2.0%
2019-02-25 1
 
2.0%
2015-07-16 1
 
2.0%
2014-02-05 1
 
2.0%
2012-12-07 1
 
2.0%
2010-05-18 1
 
2.0%
2007-05-07 1
 
2.0%
2020-11-03 1
 
2.0%
2018-04-17 1
 
2.0%
Other values (40) 40
78.4%
2023-12-12T15:50:07.767456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 158
26.4%
- 118
19.7%
2 110
18.4%
1 90
15.1%
6 23
 
3.8%
8 22
 
3.7%
4 18
 
3.0%
3 15
 
2.5%
5 15
 
2.5%
9 11
 
1.8%
Other values (2) 18
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 472
78.9%
Dash Punctuation 118
 
19.7%
Connector Punctuation 8
 
1.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 158
33.5%
2 110
23.3%
1 90
19.1%
6 23
 
4.9%
8 22
 
4.7%
4 18
 
3.8%
3 15
 
3.2%
5 15
 
3.2%
9 11
 
2.3%
7 10
 
2.1%
Dash Punctuation
ValueCountFrequency (%)
- 118
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 598
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 158
26.4%
- 118
19.7%
2 110
18.4%
1 90
15.1%
6 23
 
3.8%
8 22
 
3.7%
4 18
 
3.0%
3 15
 
2.5%
5 15
 
2.5%
9 11
 
1.8%
Other values (2) 18
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 598
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 158
26.4%
- 118
19.7%
2 110
18.4%
1 90
15.1%
6 23
 
3.8%
8 22
 
3.7%
4 18
 
3.0%
3 15
 
2.5%
5 15
 
2.5%
9 11
 
1.8%
Other values (2) 18
 
3.0%

비고
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing51
Missing (%)100.0%
Memory size591.0 B

Interactions

2023-12-12T15:50:05.195957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T15:50:07.872284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호등록기관명사업장명소재지등록일자_수정일자
번호1.0000.8561.0001.0001.000
등록기관명0.8561.0001.0001.0001.000
사업장명1.0001.0001.0001.0001.000
소재지1.0001.0001.0001.0001.000
등록일자_수정일자1.0001.0001.0001.0001.000
2023-12-12T15:50:07.960520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호등록기관명
번호1.0000.565
등록기관명0.5651.000

Missing values

2023-12-12T15:50:05.372754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T15:50:05.494991image/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

번호등록기관명사업장명소재지등록일자_수정일자비고
01경상남도 창원시(재)창원산업진흥원경상남도 창원시 의창구 창원대로18번길 46. 경남창원과학기술진흥원 (팔용동)2021-12-28<NA>
12경상남도 창원시사단법인 느티나무경상남도장애인부모회경상남도 창원시 의창구 도계두리길 20. 1층 (도계동)2020-06-10<NA>
23경상남도 창원시창원상공회의소경상남도 창원시 의창구 중앙대로 166. 창원상공회의소 (신월동)2018-06-15<NA>
34경상남도 창원시경남장애인종합복지관무료직업소개소경상남도 창원시 의창구 봉곡로97번길 85 (봉곡동)2008-04-02<NA>
45경상남도 창원시한국산재노동자협회경남지역본부경상남도 창원시 의창구 차상로18번길 45. 205-3호 (팔용동.농산물도매시장 청과)2007-04-09<NA>
56경상남도 창원시경상남도장애인단체총연합회무료직업소개소경상남도 창원시 성산구 용지로 94. 올림피아상가 601호 (중앙동)2018-01-23<NA>
67경상남도 창원시사단법인 한국초월상담교육협회경상남도 창원시 성산구 상남로 107. 상남 큐비 메종드테라스 301호 (상남동)2016-08-19<NA>
78경상남도 창원시(사)한국요양보호사교육기관협회경상남도 창원시 성산구 용지로 225. 지하1층 1호 (용호동. 롯데종합상가)2015-03-24<NA>
89경상남도 창원시창원노인일자리창출지원센터경상남도 창원시 성산구 용지로 96 (중앙동. 하이페르)2014-01-06<NA>
910경상남도 창원시(사)중소기업기술혁신협회경남지회 무료직업소개소경상남도 창원시 성산구 창이대로532번길 50. 1층 (신월동. 경남지방중소기업청)2012-10-09<NA>
번호등록기관명사업장명소재지등록일자_수정일자비고
4142경상남도 양산시양산상공회의소경상남도 양산시 중앙로 198 (북부동)2012-12-06<NA>
4243경상남도 양산시양산노동복지센터경상남도 양산시 중앙우회로 150. 4층 (북부동)2007-06-21<NA>
4344경상남도 양산시양산농아인무료직업소개소경상남도 양산시 북안남5길 15 (북부동)2002-04-18<NA>
4445경상남도 함안군(사)대한노인회 함안통합취업지원센터경상남도 함안군 가야읍 중앙남길 67. 대한노인회함안군지회 1층2014-10-24_2022-01-14<NA>
4546경상남도 함안군함안상공회의소경상남도 함안군 가야읍 함안대로 7352012-12-26<NA>
4647경상남도 창녕군창녕군 장애인종합복지관무료직업소개사업소경상남도 창녕군 창녕읍 탐하로 244(본관)2008-09-10_2019-01-04<NA>
4748경상남도 고성군경남돌봄지원센터 사회적협동조합경상남도 고성군 고성읍 남포로140번길 7-212019-05-31<NA>
4849경상남도 거창군거창군상시고용 사회적협동조합거창읍 시장1길 20 / 무료2013-06-10_2017-12-06<NA>
4950경상남도 합천군합천시니어클럽((사)합천황가람실버복지회)경상남도 합천군 합천읍 대야로 867, 신화빌딩 202호2019-02-25<NA>
5051경상남도 합천군합천군 농촌인력은행 사회적협동조합경상남도 합천군 용주면 고품부흥1길 7, 합천군농업기술센터2016-08-02<NA>