Overview

Dataset statistics

Number of variables5
Number of observations118
Missing cells61
Missing cells (%)10.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.9 KiB
Average record size in memory42.1 B

Variable types

Numeric1
Text4

Dataset

Description익산시 관내 읍면동의 무료 유료 직업소개소에 대한 상호명, 사업장 도로명 주소, 대표자, 전화번호 등의 자료를 제공하고 있습니다.
Author전라북도
URLhttps://www.bigdatahub.go.kr/index.jeonbuk?startPage=2&menuCd=DOM_000000103007001000&pListTypeStr=&pId=3080007

Alerts

전화번호 has 61 (51.7%) missing valuesMissing
순번 has unique valuesUnique
소개소 명칭 has unique valuesUnique
사업장 주소 has unique valuesUnique
대표자 has unique valuesUnique

Reproduction

Analysis started2024-03-14 00:31:27.625869
Analysis finished2024-03-14 00:31:28.035480
Duration0.41 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct118
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean59.5
Minimum1
Maximum118
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-03-14T09:31:28.094729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6.85
Q130.25
median59.5
Q388.75
95-th percentile112.15
Maximum118
Range117
Interquartile range (IQR)58.5

Descriptive statistics

Standard deviation34.207699
Coefficient of variation (CV)0.57491931
Kurtosis-1.2
Mean59.5
Median Absolute Deviation (MAD)29.5
Skewness0
Sum7021
Variance1170.1667
MonotonicityStrictly increasing
2024-03-14T09:31:28.215678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.8%
76 1
 
0.8%
88 1
 
0.8%
87 1
 
0.8%
86 1
 
0.8%
85 1
 
0.8%
84 1
 
0.8%
83 1
 
0.8%
82 1
 
0.8%
81 1
 
0.8%
Other values (108) 108
91.5%
ValueCountFrequency (%)
1 1
0.8%
2 1
0.8%
3 1
0.8%
4 1
0.8%
5 1
0.8%
6 1
0.8%
7 1
0.8%
8 1
0.8%
9 1
0.8%
10 1
0.8%
ValueCountFrequency (%)
118 1
0.8%
117 1
0.8%
116 1
0.8%
115 1
0.8%
114 1
0.8%
113 1
0.8%
112 1
0.8%
111 1
0.8%
110 1
0.8%
109 1
0.8%

소개소 명칭
Text

UNIQUE 

Distinct118
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-03-14T09:31:28.427481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length20
Mean length6.720339
Min length2

Characters and Unicode

Total characters793
Distinct characters195
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique118 ?
Unique (%)100.0%

Sample

1st row(사)캠틱종합기술원(익산시일자리센터)
2nd row(유)미래에이치알 직업소개소
3rd row(유)제이제이
4th row(익산) 해피케어
5th rowKM인력개발
ValueCountFrequency (%)
유한회사 3
 
2.2%
직업소개소 2
 
1.5%
사단법인 2
 
1.5%
이화인력 1
 
0.7%
드림워크 1
 
0.7%
아람 1
 
0.7%
청명플러스 1
 
0.7%
이용섭인력건설 1
 
0.7%
사)캠틱종합기술원(익산시일자리센터 1
 
0.7%
웰빙인력 1
 
0.7%
Other values (123) 123
89.8%
2024-03-14T09:31:28.762598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
인 81
 
10.2%
력 75
 
9.5%
소 36
 
4.5%
사 22
 
2.8%
19
 
2.4%
개 17
 
2.1%
건 17
 
2.1%
산 14
 
1.8%
업 14
 
1.8%
터 12
 
1.5%
Other values (185) 486
61.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 747
94.2%
Space Separator 19
 
2.4%
Open Punctuation 9
 
1.1%
Close Punctuation 9
 
1.1%
Uppercase Letter 8
 
1.0%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 81
 
10.8%
력 75
 
10.0%
소 36
 
4.8%
사 22
 
2.9%
개 17
 
2.3%
건 17
 
2.3%
산 14
 
1.9%
업 14
 
1.9%
터 12
 
1.6%
센 11
 
1.5%
Other values (175) 448
60.0%
Uppercase Letter
ValueCountFrequency (%)
A 2
25.0%
S 2
25.0%
L 1
12.5%
B 1
12.5%
M 1
12.5%
K 1
12.5%
Space Separator
ValueCountFrequency (%)
19
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 747
94.2%
Common 38
 
4.8%
Latin 8
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 81
 
10.8%
력 75
 
10.0%
소 36
 
4.8%
사 22
 
2.9%
개 17
 
2.3%
건 17
 
2.3%
산 14
 
1.9%
업 14
 
1.9%
터 12
 
1.6%
센 11
 
1.5%
Other values (175) 448
60.0%
Latin
ValueCountFrequency (%)
A 2
25.0%
S 2
25.0%
L 1
12.5%
B 1
12.5%
M 1
12.5%
K 1
12.5%
Common
ValueCountFrequency (%)
19
50.0%
( 9
23.7%
) 9
23.7%
. 1
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 747
94.2%
ASCII 46
 
5.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
인 81
 
10.8%
력 75
 
10.0%
소 36
 
4.8%
사 22
 
2.9%
개 17
 
2.3%
건 17
 
2.3%
산 14
 
1.9%
업 14
 
1.9%
터 12
 
1.6%
센 11
 
1.5%
Other values (175) 448
60.0%
ASCII
ValueCountFrequency (%)
19
41.3%
( 9
19.6%
) 9
19.6%
A 2
 
4.3%
S 2
 
4.3%
L 1
 
2.2%
B 1
 
2.2%
M 1
 
2.2%
K 1
 
2.2%
. 1
 
2.2%

사업장 주소
Text

UNIQUE 

Distinct118
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-03-14T09:31:29.061222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length30
Mean length21.483051
Min length15

Characters and Unicode

Total characters2535
Distinct characters123
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

Unique118 ?
Unique (%)100.0%

Sample

1st row전라북도 익산시 하나로 445, 3층
2nd row전라북도 익산시 남중동 533번지 22호 2층
3rd row전라북도 익산시 무왕로 1194
4th row전라북도 익산시 주현동 246번지 7호
5th row전라북도 익산시 남중동 375번지 286호
ValueCountFrequency (%)
전라북도 118
20.7%
익산시 115
20.1%
남중동 26
 
4.6%
마동 13
 
2.3%
영등동 11
 
1.9%
신동 9
 
1.6%
모현동1가 8
 
1.4%
13번지 7
 
1.2%
함열읍 6
 
1.1%
부송동 5
 
0.9%
Other values (206) 253
44.3%
2024-03-14T09:31:29.458843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
453
17.9%
1 128
 
5.0%
산 126
 
5.0%
전 123
 
4.9%
도 122
 
4.8%
북 120
 
4.7%
익 118
 
4.7%
시 118
 
4.7%
라 118
 
4.7%
동 102
 
4.0%
Other values (113) 1007
39.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1499
59.1%
Decimal Number 532
 
21.0%
Space Separator 453
 
17.9%
Dash Punctuation 49
 
1.9%
Other Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 126
 
8.4%
전 123
 
8.2%
도 122
 
8.1%
북 120
 
8.0%
익 118
 
7.9%
시 118
 
7.9%
라 118
 
7.9%
동 102
 
6.8%
지 58
 
3.9%
번 58
 
3.9%
Other values (100) 436
29.1%
Decimal Number
ValueCountFrequency (%)
1 128
24.1%
3 70
13.2%
2 66
12.4%
5 49
 
9.2%
4 47
 
8.8%
7 41
 
7.7%
6 40
 
7.5%
8 34
 
6.4%
0 31
 
5.8%
9 26
 
4.9%
Space Separator
ValueCountFrequency (%)
453
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 49
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1499
59.1%
Common 1036
40.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 126
 
8.4%
전 123
 
8.2%
도 122
 
8.1%
북 120
 
8.0%
익 118
 
7.9%
시 118
 
7.9%
라 118
 
7.9%
동 102
 
6.8%
지 58
 
3.9%
번 58
 
3.9%
Other values (100) 436
29.1%
Common
ValueCountFrequency (%)
453
43.7%
1 128
 
12.4%
3 70
 
6.8%
2 66
 
6.4%
- 49
 
4.7%
5 49
 
4.7%
4 47
 
4.5%
7 41
 
4.0%
6 40
 
3.9%
8 34
 
3.3%
Other values (3) 59
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1499
59.1%
ASCII 1036
40.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
453
43.7%
1 128
 
12.4%
3 70
 
6.8%
2 66
 
6.4%
- 49
 
4.7%
5 49
 
4.7%
4 47
 
4.5%
7 41
 
4.0%
6 40
 
3.9%
8 34
 
3.3%
Other values (3) 59
 
5.7%
Hangul
ValueCountFrequency (%)
산 126
 
8.4%
전 123
 
8.2%
도 122
 
8.1%
북 120
 
8.0%
익 118
 
7.9%
시 118
 
7.9%
라 118
 
7.9%
동 102
 
6.8%
지 58
 
3.9%
번 58
 
3.9%
Other values (100) 436
29.1%

대표자
Text

UNIQUE 

Distinct118
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-03-14T09:31:29.742681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.9830508
Min length2

Characters and Unicode

Total characters352
Distinct characters115
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

Unique118 ?
Unique (%)100.0%

Sample

1st row노상흡
2nd row정승환
3rd row박미란
4th row황누리
5th row김민
ValueCountFrequency (%)
노상흡 1
 
0.8%
고재경 1
 
0.8%
장정남 1
 
0.8%
백종환 1
 
0.8%
김병기 1
 
0.8%
양희준 1
 
0.8%
윤석만 1
 
0.8%
정향숙 1
 
0.8%
임미경 1
 
0.8%
임석삼 1
 
0.8%
Other values (108) 108
91.5%
2024-03-14T09:31:30.123502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 18
 
5.1%
이 17
 
4.8%
정 14
 
4.0%
성 13
 
3.7%
경 12
 
3.4%
박 9
 
2.6%
희 8
 
2.3%
최 8
 
2.3%
윤 7
 
2.0%
진 7
 
2.0%
Other values (105) 239
67.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 352
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 18
 
5.1%
이 17
 
4.8%
정 14
 
4.0%
성 13
 
3.7%
경 12
 
3.4%
박 9
 
2.6%
희 8
 
2.3%
최 8
 
2.3%
윤 7
 
2.0%
진 7
 
2.0%
Other values (105) 239
67.9%

Most occurring scripts

ValueCountFrequency (%)
Hangul 352
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 18
 
5.1%
이 17
 
4.8%
정 14
 
4.0%
성 13
 
3.7%
경 12
 
3.4%
박 9
 
2.6%
희 8
 
2.3%
최 8
 
2.3%
윤 7
 
2.0%
진 7
 
2.0%
Other values (105) 239
67.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 352
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 18
 
5.1%
이 17
 
4.8%
정 14
 
4.0%
성 13
 
3.7%
경 12
 
3.4%
박 9
 
2.6%
희 8
 
2.3%
최 8
 
2.3%
윤 7
 
2.0%
진 7
 
2.0%
Other values (105) 239
67.9%

전화번호
Text

MISSING 

Distinct56
Distinct (%)98.2%
Missing61
Missing (%)51.7%
Memory size1.1 KiB
2024-03-14T09:31:30.321851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.035088
Min length12

Characters and Unicode

Total characters686
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

Unique55 ?
Unique (%)96.5%

Sample

1st row063-837-0401
2nd row063-855-5022
3rd row063-838-0096
4th row063-858-1618
5th row063-855-0410
ValueCountFrequency (%)
063-852-8881 2
 
3.5%
063-843-0414 1
 
1.8%
063-840-6568 1
 
1.8%
063-837-0401 1
 
1.8%
063-841-1040 1
 
1.8%
063-854-6114 1
 
1.8%
063-855-2233 1
 
1.8%
063-852-5630 1
 
1.8%
063-833-0334 1
 
1.8%
063-857-6611 1
 
1.8%
Other values (46) 46
80.7%
2024-03-14T09:31:30.630871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 114
16.6%
3 96
14.0%
0 88
12.8%
6 87
12.7%
8 83
12.1%
5 58
8.5%
1 51
7.4%
4 50
7.3%
7 26
 
3.8%
2 21
 
3.1%
Other values (2) 12
 
1.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 570
83.1%
Dash Punctuation 114
 
16.6%
Other Punctuation 2
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 96
16.8%
0 88
15.4%
6 87
15.3%
8 83
14.6%
5 58
10.2%
1 51
8.9%
4 50
8.8%
7 26
 
4.6%
2 21
 
3.7%
9 10
 
1.8%
Dash Punctuation
ValueCountFrequency (%)
- 114
100.0%
Other Punctuation
ValueCountFrequency (%)
' 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 686
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 114
16.6%
3 96
14.0%
0 88
12.8%
6 87
12.7%
8 83
12.1%
5 58
8.5%
1 51
7.4%
4 50
7.3%
7 26
 
3.8%
2 21
 
3.1%
Other values (2) 12
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 686
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 114
16.6%
3 96
14.0%
0 88
12.8%
6 87
12.7%
8 83
12.1%
5 58
8.5%
1 51
7.4%
4 50
7.3%
7 26
 
3.8%
2 21
 
3.1%
Other values (2) 12
 
1.7%

Interactions

2024-03-14T09:31:27.837311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T09:31:30.713863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번전화번호
순번1.0001.000
전화번호1.0001.000

Missing values

2024-03-14T09:31:27.936379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T09:31:28.005751image/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

순번소개소 명칭사업장 주소대표자전화번호
01(사)캠틱종합기술원(익산시일자리센터)전라북도 익산시 하나로 445, 3층노상흡063-837-0401
12(유)미래에이치알 직업소개소전라북도 익산시 남중동 533번지 22호 2층정승환063-855-5022
23(유)제이제이전라북도 익산시 무왕로 1194박미란063-838-0096
34(익산) 해피케어전라북도 익산시 주현동 246번지 7호황누리<NA>
45KM인력개발전라북도 익산시 남중동 375번지 286호김민063-858-1618
56가나안인력건설전라북도 익산시 모현동1가 1번지 17호김성은063-855-0410
67가온인력전라북도 익산시 평화동 130번지 7호 홍진전기전자공구최병택<NA>
78가치인력전라북도 익산시 중앙동2가 1-1김성훈063-841-2111
89거성인력전라북도 익산시 선화로 29길 3박응수063-858-6613
910공단인력전라북도 완주군 봉동읍 둔산리 900번지 10호최경식<NA>
순번소개소 명칭사업장 주소대표자전화번호
108109한우리인력전라북도 익산시 남중동 36번지 43호장성훈<NA>
109110함열인력건설사무소전라북도 익산시 함열읍 와리 545번지 122호유형근063-861-1616
110111함열제일인력전라북도 익산시 함열읍 와리 551-20배필례<NA>
111112행복종합인력전라북도 익산시 금마면 동고도리 823-10박효은<NA>
112113현대인력공사전라북도 익산시 마동 1-5송병초063-853-3981
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114115호남인력전라북도 익산시 익산대로 258소일섭063-858-8356
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116117희망일터 취업사업소전라북도 익산시 중앙동1가 13번지 11호임운근063-856-7555
117118희망찬 인력센터전라북도 익산시 인화동1가 27-8이희형063-854-3036