Overview

Dataset statistics

Number of variables30
Number of observations108
Missing cells887
Missing cells (%)27.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory26.8 KiB
Average record size in memory254.2 B

Variable types

Numeric5
Categorical9
DateTime4
Unsupported6
Text6

Dataset

Description23년11월_6270000_대구광역시_11_50_01_P_무료직업소개소
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000101353&dataSetDetailId=DDI_0000101368&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
구분명 has constant value ""Constant
법인구분명 is highly imbalanced (55.5%)Imbalance
인허가취소일자 has 108 (100.0%) missing valuesMissing
폐업일자 has 62 (57.4%) missing valuesMissing
휴업시작일자 has 108 (100.0%) missing valuesMissing
휴업종료일자 has 108 (100.0%) missing valuesMissing
재개업일자 has 108 (100.0%) missing valuesMissing
소재지전화 has 26 (24.1%) missing valuesMissing
소재지면적 has 108 (100.0%) missing valuesMissing
소재지우편번호 has 77 (71.3%) missing valuesMissing
소재지전체주소 has 34 (31.5%) missing valuesMissing
도로명전체주소 has 6 (5.6%) missing valuesMissing
도로명우편번호 has 32 (29.6%) missing valuesMissing
업태구분명 has 108 (100.0%) missing valuesMissing
번호 has unique valuesUnique
관리번호 has unique valuesUnique
사업장명 has unique valuesUnique
최종수정시점 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-16 05:40:12.310458
Analysis finished2023-12-16 05:40:14.516463
Duration2.21 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct108
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean54.5
Minimum1
Maximum108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-16T05:40:15.074009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6.35
Q127.75
median54.5
Q381.25
95-th percentile102.65
Maximum108
Range107
Interquartile range (IQR)53.5

Descriptive statistics

Standard deviation31.32092
Coefficient of variation (CV)0.57469577
Kurtosis-1.2
Mean54.5
Median Absolute Deviation (MAD)27
Skewness0
Sum5886
Variance981
MonotonicityStrictly increasing
2023-12-16T05:40:15.730130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.9%
70 1
 
0.9%
81 1
 
0.9%
80 1
 
0.9%
79 1
 
0.9%
78 1
 
0.9%
77 1
 
0.9%
76 1
 
0.9%
75 1
 
0.9%
74 1
 
0.9%
Other values (98) 98
90.7%
ValueCountFrequency (%)
1 1
0.9%
2 1
0.9%
3 1
0.9%
4 1
0.9%
5 1
0.9%
6 1
0.9%
7 1
0.9%
8 1
0.9%
9 1
0.9%
10 1
0.9%
ValueCountFrequency (%)
108 1
0.9%
107 1
0.9%
106 1
0.9%
105 1
0.9%
104 1
0.9%
103 1
0.9%
102 1
0.9%
101 1
0.9%
100 1
0.9%
99 1
0.9%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size996.0 B
무료직업소개소
108 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row무료직업소개소
2nd row무료직업소개소
3rd row무료직업소개소
4th row무료직업소개소
5th row무료직업소개소

Common Values

ValueCountFrequency (%)
무료직업소개소 108
100.0%

Length

2023-12-16T05:40:16.558664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T05:40:17.021764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
무료직업소개소 108
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size996.0 B
11_50_01_P
108 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row11_50_01_P
2nd row11_50_01_P
3rd row11_50_01_P
4th row11_50_01_P
5th row11_50_01_P

Common Values

ValueCountFrequency (%)
11_50_01_P 108
100.0%

Length

2023-12-16T05:40:17.622971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T05:40:17.979115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
11_50_01_p 108
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3442500
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-16T05:40:18.334138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3413500
Q13430000
median3440000
Q33460000
95-th percentile3476500
Maximum3480000
Range70000
Interquartile range (IQR)30000

Descriptive statistics

Standard deviation20558.783
Coefficient of variation (CV)0.0059720502
Kurtosis-1.1721042
Mean3442500
Median Absolute Deviation (MAD)20000
Skewness0.26094376
Sum3.7179 × 108
Variance4.2266355 × 108
MonotonicityIncreasing
2023-12-16T05:40:18.986255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3430000 24
22.2%
3420000 20
18.5%
3470000 16
14.8%
3450000 13
12.0%
3460000 12
11.1%
3440000 11
10.2%
3410000 6
 
5.6%
3480000 6
 
5.6%
ValueCountFrequency (%)
3410000 6
 
5.6%
3420000 20
18.5%
3430000 24
22.2%
3440000 11
10.2%
3450000 13
12.0%
3460000 12
11.1%
3470000 16
14.8%
3480000 6
 
5.6%
ValueCountFrequency (%)
3480000 6
 
5.6%
3470000 16
14.8%
3460000 12
11.1%
3450000 13
12.0%
3440000 11
10.2%
3430000 24
22.2%
3420000 20
18.5%
3410000 6
 
5.6%

관리번호
Real number (ℝ)

UNIQUE 

Distinct108
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0130943 × 1018
Minimum1.991347 × 1018
Maximum2.023348 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-16T05:40:19.686131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.991347 × 1018
5-th percentile2.001342 × 1018
Q12.0093458 × 1018
median2.0128445 × 1018
Q32.0183435 × 1018
95-th percentile2.0229935 × 1018
Maximum2.023348 × 1018
Range3.2001029 × 1016
Interquartile range (IQR)8.9977528 × 1015

Descriptive statistics

Standard deviation7.0368418 × 1015
Coefficient of variation (CV)0.0034955352
Kurtosis0.42022493
Mean2.0130943 × 1018
Median Absolute Deviation (MAD)5.0005121 × 1015
Skewness-0.63429093
Sum-3.9467486 × 1018
Variance4.9517142 × 1031
MonotonicityNot monotonic
2023-12-16T05:40:20.702303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2019341013014500007 1
 
0.9%
1993345001211200001 1
 
0.9%
2021346017714500005 1
 
0.9%
2022346017714500015 1
 
0.9%
2013346012514500008 1
 
0.9%
2013346012514500002 1
 
0.9%
2010346007714500007 1
 
0.9%
2009346007714500025 1
 
0.9%
2019346016214500007 1
 
0.9%
2012345009914500004 1
 
0.9%
Other values (98) 98
90.7%
ValueCountFrequency (%)
1991347007511200001 1
0.9%
1993343001011200001 1
0.9%
1993345001211200001 1
0.9%
1998342005811200001 1
0.9%
2000344001411200001 1
0.9%
2001342005811200001 1
0.9%
2001342005811200002 1
0.9%
2002343001011200001 1
0.9%
2002347011714500002 1
0.9%
2003347011714500001 1
0.9%
ValueCountFrequency (%)
2023348036514500002 1
0.9%
2023348036514500001 1
0.9%
2023347018114500013 1
0.9%
2023343009514500017 1
0.9%
2023341016314500001 1
0.9%
2023341015114500002 1
0.9%
2022348036514500009 1
0.9%
2022346017714500015 1
0.9%
2022346017714500005 1
0.9%
2022345016014500009 1
0.9%

인허가일자
Date

Distinct107
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Memory size996.0 B
Minimum1991-08-09 00:00:00
Maximum2023-11-29 00:00:00
2023-12-16T05:40:22.050586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T05:40:23.928684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing108
Missing (%)100.0%
Memory size1.1 KiB

영업상태구분코드
Categorical

Distinct3
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size996.0 B
1
58 
3
49 
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.9%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 58
53.7%
3 49
45.4%
4 1
 
0.9%

Length

2023-12-16T05:40:25.084297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T05:40:25.710422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 58
53.7%
3 49
45.4%
4 1
 
0.9%

영업상태명
Categorical

Distinct3
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size996.0 B
영업/정상
58 
폐업
49 
취소/말소/만료/정지/중지
 
1

Length

Max length14
Median length5
Mean length3.7222222
Min length2

Unique

Unique1 ?
Unique (%)0.9%

Sample

1st row영업/정상
2nd row영업/정상
3rd row영업/정상
4th row영업/정상
5th row영업/정상

Common Values

ValueCountFrequency (%)
영업/정상 58
53.7%
폐업 49
45.4%
취소/말소/만료/정지/중지 1
 
0.9%

Length

2023-12-16T05:40:26.881649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T05:40:27.512974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 58
53.7%
폐업 49
45.4%
취소/말소/만료/정지/중지 1
 
0.9%

상세영업상태코드
Categorical

Distinct3
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size996.0 B
20
58 
40
49 
70
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique1 ?
Unique (%)0.9%

Sample

1st row20
2nd row20
3rd row20
4th row20
5th row20

Common Values

ValueCountFrequency (%)
20 58
53.7%
40 49
45.4%
70 1
 
0.9%

Length

2023-12-16T05:40:28.097848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T05:40:28.535308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20 58
53.7%
40 49
45.4%
70 1
 
0.9%

상세영업상태명
Categorical

Distinct3
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size996.0 B
영업중
58 
폐업
49 
등록취소
 
1

Length

Max length4
Median length3
Mean length2.5555556
Min length2

Unique

Unique1 ?
Unique (%)0.9%

Sample

1st row영업중
2nd row영업중
3rd row영업중
4th row영업중
5th row영업중

Common Values

ValueCountFrequency (%)
영업중 58
53.7%
폐업 49
45.4%
등록취소 1
 
0.9%

Length

2023-12-16T05:40:29.195770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T05:40:29.789297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 58
53.7%
폐업 49
45.4%
등록취소 1
 
0.9%

폐업일자
Date

MISSING 

Distinct45
Distinct (%)97.8%
Missing62
Missing (%)57.4%
Memory size996.0 B
Minimum2009-01-12 00:00:00
Maximum2023-05-26 00:00:00
2023-12-16T05:40:30.617034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T05:40:31.286829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing108
Missing (%)100.0%
Memory size1.1 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing108
Missing (%)100.0%
Memory size1.1 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing108
Missing (%)100.0%
Memory size1.1 KiB

소재지전화
Text

MISSING 

Distinct80
Distinct (%)97.6%
Missing26
Missing (%)24.1%
Memory size996.0 B
2023-12-16T05:40:32.245210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.195122
Min length7

Characters and Unicode

Total characters918
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique78 ?
Unique (%)95.1%

Sample

1st row053 356 0463
2nd row053 4221901
3rd row0532531910
4th row053 424 0793
5th row053654 1155
ValueCountFrequency (%)
053 58
29.7%
356 3
 
1.5%
767 3
 
1.5%
1331 2
 
1.0%
527 2
 
1.0%
6500 2
 
1.0%
740 2
 
1.0%
070 2
 
1.0%
572 2
 
1.0%
0001 2
 
1.0%
Other values (116) 117
60.0%
2023-12-16T05:40:34.162574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 160
17.4%
5 153
16.7%
3 127
13.8%
121
13.2%
1 66
7.2%
2 59
 
6.4%
7 57
 
6.2%
6 52
 
5.7%
4 45
 
4.9%
9 42
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 797
86.8%
Space Separator 121
 
13.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 160
20.1%
5 153
19.2%
3 127
15.9%
1 66
8.3%
2 59
 
7.4%
7 57
 
7.2%
6 52
 
6.5%
4 45
 
5.6%
9 42
 
5.3%
8 36
 
4.5%
Space Separator
ValueCountFrequency (%)
121
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 918
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 160
17.4%
5 153
16.7%
3 127
13.8%
121
13.2%
1 66
7.2%
2 59
 
6.4%
7 57
 
6.2%
6 52
 
5.7%
4 45
 
4.9%
9 42
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 918
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 160
17.4%
5 153
16.7%
3 127
13.8%
121
13.2%
1 66
7.2%
2 59
 
6.4%
7 57
 
6.2%
6 52
 
5.7%
4 45
 
4.9%
9 42
 
4.6%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing108
Missing (%)100.0%
Memory size1.1 KiB

소재지우편번호
Text

MISSING 

Distinct29
Distinct (%)93.5%
Missing77
Missing (%)71.3%
Memory size996.0 B
2023-12-16T05:40:34.963961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters217
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique27 ?
Unique (%)87.1%

Sample

1st row700-812
2nd row701-010
3rd row701-810
4th row701-849
5th row701-824
ValueCountFrequency (%)
702-852 2
 
6.5%
703-846 2
 
6.5%
705-817 1
 
3.2%
705-832 1
 
3.2%
704-946 1
 
3.2%
704-923 1
 
3.2%
706-032 1
 
3.2%
706-180 1
 
3.2%
706-060 1
 
3.2%
706-824 1
 
3.2%
Other values (19) 19
61.3%
2023-12-16T05:40:36.745125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 49
22.6%
7 35
16.1%
- 31
14.3%
8 23
10.6%
1 17
 
7.8%
2 14
 
6.5%
3 14
 
6.5%
4 12
 
5.5%
6 12
 
5.5%
5 7
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 186
85.7%
Dash Punctuation 31
 
14.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 49
26.3%
7 35
18.8%
8 23
12.4%
1 17
 
9.1%
2 14
 
7.5%
3 14
 
7.5%
4 12
 
6.5%
6 12
 
6.5%
5 7
 
3.8%
9 3
 
1.6%
Dash Punctuation
ValueCountFrequency (%)
- 31
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 217
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 49
22.6%
7 35
16.1%
- 31
14.3%
8 23
10.6%
1 17
 
7.8%
2 14
 
6.5%
3 14
 
6.5%
4 12
 
5.5%
6 12
 
5.5%
5 7
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 217
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 49
22.6%
7 35
16.1%
- 31
14.3%
8 23
10.6%
1 17
 
7.8%
2 14
 
6.5%
3 14
 
6.5%
4 12
 
5.5%
6 12
 
5.5%
5 7
 
3.2%

소재지전체주소
Text

MISSING 

Distinct72
Distinct (%)97.3%
Missing34
Missing (%)31.5%
Memory size996.0 B
2023-12-16T05:40:38.043953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length38
Mean length25.040541
Min length16

Characters and Unicode

Total characters1853
Distinct characters133
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

Unique70 ?
Unique (%)94.6%

Sample

1st row대구광역시 중구 삼덕동2가 149번지 63호
2nd row대구광역시 중구 남산동 2990 남산휴먼시아1단지아파트
3rd row대구광역시 중구 대봉2동 88번지 4호
4th row대구광역시 동구 신암동 593번지 5호 우진빌딩
5th row대구광역시 동구 신천동 92 대구지식서비스센터 2층
ValueCountFrequency (%)
대구광역시 73
 
18.0%
서구 18
 
4.4%
수성구 13
 
3.2%
동구 12
 
3.0%
남구 11
 
2.7%
달서구 9
 
2.2%
1호 7
 
1.7%
6호 7
 
1.7%
북구 5
 
1.2%
7호 5
 
1.2%
Other values (189) 245
60.5%
2023-12-16T05:40:40.199306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
339
18.3%
구 146
 
7.9%
1 92
 
5.0%
대 87
 
4.7%
동 87
 
4.7%
시 76
 
4.1%
광 73
 
3.9%
역 73
 
3.9%
지 69
 
3.7%
번 65
 
3.5%
Other values (123) 746
40.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1100
59.4%
Decimal Number 408
 
22.0%
Space Separator 339
 
18.3%
Dash Punctuation 3
 
0.2%
Other Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 146
13.3%
대 87
 
7.9%
동 87
 
7.9%
시 76
 
6.9%
광 73
 
6.6%
역 73
 
6.6%
지 69
 
6.3%
번 65
 
5.9%
호 64
 
5.8%
서 29
 
2.6%
Other values (108) 331
30.1%
Decimal Number
ValueCountFrequency (%)
1 92
22.5%
2 53
13.0%
3 38
9.3%
5 38
9.3%
4 37
9.1%
6 37
9.1%
0 36
 
8.8%
7 33
 
8.1%
8 24
 
5.9%
9 20
 
4.9%
Space Separator
ValueCountFrequency (%)
339
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1100
59.4%
Common 753
40.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 146
13.3%
대 87
 
7.9%
동 87
 
7.9%
시 76
 
6.9%
광 73
 
6.6%
역 73
 
6.6%
지 69
 
6.3%
번 65
 
5.9%
호 64
 
5.8%
서 29
 
2.6%
Other values (108) 331
30.1%
Common
ValueCountFrequency (%)
339
45.0%
1 92
 
12.2%
2 53
 
7.0%
3 38
 
5.0%
5 38
 
5.0%
4 37
 
4.9%
6 37
 
4.9%
0 36
 
4.8%
7 33
 
4.4%
8 24
 
3.2%
Other values (5) 26
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1100
59.4%
ASCII 753
40.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
339
45.0%
1 92
 
12.2%
2 53
 
7.0%
3 38
 
5.0%
5 38
 
5.0%
4 37
 
4.9%
6 37
 
4.9%
0 36
 
4.8%
7 33
 
4.4%
8 24
 
3.2%
Other values (5) 26
 
3.5%
Hangul
ValueCountFrequency (%)
구 146
13.3%
대 87
 
7.9%
동 87
 
7.9%
시 76
 
6.9%
광 73
 
6.6%
역 73
 
6.6%
지 69
 
6.3%
번 65
 
5.9%
호 64
 
5.8%
서 29
 
2.6%
Other values (108) 331
30.1%

도로명전체주소
Text

MISSING 

Distinct100
Distinct (%)98.0%
Missing6
Missing (%)5.6%
Memory size996.0 B
2023-12-16T05:40:41.714435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length41
Mean length30.068627
Min length21

Characters and Unicode

Total characters3067
Distinct characters207
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique98 ?
Unique (%)96.1%

Sample

1st row대구광역시 중구 국채보상로 554-1 (종로1가)
2nd row대구광역시 중구 동덕로30길 139-16, 1층 (동인동4가)
3rd row대구광역시 중구 공평로4길 24-7 (삼덕동2가)
4th row대구광역시 중구 달구벌대로 1960, 103동동 지하1층 (남산동, 남산휴먼시아1단지아파트)
5th row대구광역시 중구 대봉로 243 (대봉동)
ValueCountFrequency (%)
대구광역시 101
 
16.8%
서구 21
 
3.5%
동구 19
 
3.2%
수성구 16
 
2.7%
남구 12
 
2.0%
북구 11
 
1.8%
달서구 11
 
1.8%
2층 10
 
1.7%
4층 8
 
1.3%
평리동 8
 
1.3%
Other values (268) 385
64.0%
2023-12-16T05:40:43.864635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
500
 
16.3%
구 231
 
7.5%
대 153
 
5.0%
동 142
 
4.6%
시 108
 
3.5%
로 103
 
3.4%
광 102
 
3.3%
역 102
 
3.3%
1 100
 
3.3%
( 95
 
3.1%
Other values (197) 1431
46.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1820
59.3%
Space Separator 500
 
16.3%
Decimal Number 470
 
15.3%
Open Punctuation 95
 
3.1%
Close Punctuation 95
 
3.1%
Other Punctuation 69
 
2.2%
Dash Punctuation 16
 
0.5%
Uppercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 231
 
12.7%
대 153
 
8.4%
동 142
 
7.8%
시 108
 
5.9%
로 103
 
5.7%
광 102
 
5.6%
역 102
 
5.6%
서 46
 
2.5%
성 41
 
2.3%
길 41
 
2.3%
Other values (180) 751
41.3%
Decimal Number
ValueCountFrequency (%)
1 100
21.3%
2 73
15.5%
3 61
13.0%
0 46
9.8%
4 44
9.4%
6 44
9.4%
7 35
 
7.4%
5 30
 
6.4%
8 19
 
4.0%
9 18
 
3.8%
Uppercase Letter
ValueCountFrequency (%)
S 1
50.0%
W 1
50.0%
Space Separator
ValueCountFrequency (%)
500
100.0%
Open Punctuation
ValueCountFrequency (%)
( 95
100.0%
Close Punctuation
ValueCountFrequency (%)
) 95
100.0%
Other Punctuation
ValueCountFrequency (%)
, 69
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1820
59.3%
Common 1245
40.6%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 231
 
12.7%
대 153
 
8.4%
동 142
 
7.8%
시 108
 
5.9%
로 103
 
5.7%
광 102
 
5.6%
역 102
 
5.6%
서 46
 
2.5%
성 41
 
2.3%
길 41
 
2.3%
Other values (180) 751
41.3%
Common
ValueCountFrequency (%)
500
40.2%
1 100
 
8.0%
( 95
 
7.6%
) 95
 
7.6%
2 73
 
5.9%
, 69
 
5.5%
3 61
 
4.9%
0 46
 
3.7%
4 44
 
3.5%
6 44
 
3.5%
Other values (5) 118
 
9.5%
Latin
ValueCountFrequency (%)
S 1
50.0%
W 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1820
59.3%
ASCII 1247
40.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
500
40.1%
1 100
 
8.0%
( 95
 
7.6%
) 95
 
7.6%
2 73
 
5.9%
, 69
 
5.5%
3 61
 
4.9%
0 46
 
3.7%
4 44
 
3.5%
6 44
 
3.5%
Other values (7) 120
 
9.6%
Hangul
ValueCountFrequency (%)
구 231
 
12.7%
대 153
 
8.4%
동 142
 
7.8%
시 108
 
5.9%
로 103
 
5.7%
광 102
 
5.6%
역 102
 
5.6%
서 46
 
2.5%
성 41
 
2.3%
길 41
 
2.3%
Other values (180) 751
41.3%

도로명우편번호
Text

MISSING 

Distinct68
Distinct (%)89.5%
Missing32
Missing (%)29.6%
Memory size996.0 B
2023-12-16T05:40:45.205437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.5263158
Min length5

Characters and Unicode

Total characters420
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique60 ?
Unique (%)78.9%

Sample

1st row41935
2nd row41947
3rd row41974
4th row41903
5th row41198
ValueCountFrequency (%)
42429 2
 
2.6%
41260 2
 
2.6%
42724 2
 
2.6%
42250 2
 
2.6%
41824 2
 
2.6%
42452 2
 
2.6%
42962 2
 
2.6%
41843 2
 
2.6%
41580 1
 
1.3%
41498 1
 
1.3%
Other values (58) 58
76.3%
2023-12-16T05:40:46.733953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 85
20.2%
0 54
12.9%
1 51
12.1%
2 50
11.9%
7 43
10.2%
8 30
 
7.1%
3 24
 
5.7%
5 22
 
5.2%
9 21
 
5.0%
6 20
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 400
95.2%
Dash Punctuation 20
 
4.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 85
21.2%
0 54
13.5%
1 51
12.8%
2 50
12.5%
7 43
10.8%
8 30
 
7.5%
3 24
 
6.0%
5 22
 
5.5%
9 21
 
5.2%
6 20
 
5.0%
Dash Punctuation
ValueCountFrequency (%)
- 20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 420
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 85
20.2%
0 54
12.9%
1 51
12.1%
2 50
11.9%
7 43
10.2%
8 30
 
7.1%
3 24
 
5.7%
5 22
 
5.2%
9 21
 
5.0%
6 20
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 420
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 85
20.2%
0 54
12.9%
1 51
12.1%
2 50
11.9%
7 43
10.2%
8 30
 
7.1%
3 24
 
5.7%
5 22
 
5.2%
9 21
 
5.0%
6 20
 
4.8%

사업장명
Text

UNIQUE 

Distinct108
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size996.0 B
2023-12-16T05:40:47.540427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length21
Mean length14.481481
Min length4

Characters and Unicode

Total characters1564
Distinct characters203
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

Unique108 ?
Unique (%)100.0%

Sample

1st row(사)더나은세상을위한공감
2nd row글로벌가족문화센터
3rd row대구중구시니어클럽
4th row대구광역시장애인재활협회
5th row대구경북인쇄정보산업협동조합
ValueCountFrequency (%)
무료직업소개소 20
 
12.5%
사단법인 4
 
2.5%
사회적협동조합 3
 
1.9%
미래 2
 
1.2%
달성시니어클럽 2
 
1.2%
대구취업지원센터 2
 
1.2%
대구희망리본본부 2
 
1.2%
재)대구직업전문학교 2
 
1.2%
대구테크노파크 2
 
1.2%
대구장애인종합복지관 1
 
0.6%
Other values (120) 120
75.0%
2023-12-16T05:40:49.259803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
소 96
 
6.1%
업 77
 
4.9%
구 76
 
4.9%
대 63
 
4.0%
52
 
3.3%
개 48
 
3.1%
직 45
 
2.9%
무 39
 
2.5%
사 38
 
2.4%
회 38
 
2.4%
Other values (193) 992
63.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1441
92.1%
Space Separator 52
 
3.3%
Close Punctuation 29
 
1.9%
Open Punctuation 27
 
1.7%
Uppercase Letter 13
 
0.8%
Decimal Number 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
소 96
 
6.7%
업 77
 
5.3%
구 76
 
5.3%
대 63
 
4.4%
개 48
 
3.3%
직 45
 
3.1%
무 39
 
2.7%
사 38
 
2.6%
회 38
 
2.6%
지 37
 
2.6%
Other values (181) 884
61.3%
Uppercase Letter
ValueCountFrequency (%)
R 3
23.1%
D 3
23.1%
H 3
23.1%
Y 1
 
7.7%
A 1
 
7.7%
W 1
 
7.7%
C 1
 
7.7%
Decimal Number
ValueCountFrequency (%)
1 1
50.0%
3 1
50.0%
Space Separator
ValueCountFrequency (%)
52
100.0%
Close Punctuation
ValueCountFrequency (%)
) 29
100.0%
Open Punctuation
ValueCountFrequency (%)
( 27
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1441
92.1%
Common 110
 
7.0%
Latin 13
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
소 96
 
6.7%
업 77
 
5.3%
구 76
 
5.3%
대 63
 
4.4%
개 48
 
3.3%
직 45
 
3.1%
무 39
 
2.7%
사 38
 
2.6%
회 38
 
2.6%
지 37
 
2.6%
Other values (181) 884
61.3%
Latin
ValueCountFrequency (%)
R 3
23.1%
D 3
23.1%
H 3
23.1%
Y 1
 
7.7%
A 1
 
7.7%
W 1
 
7.7%
C 1
 
7.7%
Common
ValueCountFrequency (%)
52
47.3%
) 29
26.4%
( 27
24.5%
1 1
 
0.9%
3 1
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1441
92.1%
ASCII 123
 
7.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
소 96
 
6.7%
업 77
 
5.3%
구 76
 
5.3%
대 63
 
4.4%
개 48
 
3.3%
직 45
 
3.1%
무 39
 
2.7%
사 38
 
2.6%
회 38
 
2.6%
지 37
 
2.6%
Other values (181) 884
61.3%
ASCII
ValueCountFrequency (%)
52
42.3%
) 29
23.6%
( 27
22.0%
R 3
 
2.4%
D 3
 
2.4%
H 3
 
2.4%
1 1
 
0.8%
3 1
 
0.8%
Y 1
 
0.8%
A 1
 
0.8%
Other values (2) 2
 
1.6%

최종수정시점
Date

UNIQUE 

Distinct108
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size996.0 B
Minimum2004-12-02 16:04:24
Maximum2023-11-29 10:50:54
2023-12-16T05:40:50.258019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T05:40:51.192055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size996.0 B
U
59 
I
49 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowU
2nd rowI
3rd rowU
4th rowU
5th rowU

Common Values

ValueCountFrequency (%)
U 59
54.6%
I 49
45.4%

Length

2023-12-16T05:40:51.887727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T05:40:52.340513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 59
54.6%
i 49
45.4%

데이터갱신일자
Date

Distinct69
Distinct (%)63.9%
Missing0
Missing (%)0.0%
Memory size996.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-01 00:17:07
2023-12-16T05:40:53.022661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T05:40:53.733382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing108
Missing (%)100.0%
Memory size1.1 KiB

좌표정보(X)
Real number (ℝ)

Distinct95
Distinct (%)88.8%
Missing1
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean343605.78
Minimum331224.99
Maximum366747.88
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-16T05:40:54.928857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum331224.99
5-th percentile334653.84
Q1340080.7
median343585.4
Q3346678.07
95-th percentile354975.35
Maximum366747.88
Range35522.883
Interquartile range (IQR)6597.3724

Descriptive statistics

Standard deviation5834.9557
Coefficient of variation (CV)0.016981541
Kurtosis1.8354158
Mean343605.78
Median Absolute Deviation (MAD)3303.4295
Skewness0.70113121
Sum36765819
Variance34046709
MonotonicityNot monotonic
2023-12-16T05:40:56.260958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
339384.623178049 3
 
2.8%
340413.753132877 2
 
1.9%
346678.067968752 2
 
1.9%
342619.210677898 2
 
1.9%
344332.554298842 2
 
1.9%
340142.495318019 2
 
1.9%
339873.900419019 2
 
1.9%
337705.232586412 2
 
1.9%
336819.528940223 2
 
1.9%
344046.261884685 2
 
1.9%
Other values (85) 86
79.6%
ValueCountFrequency (%)
331224.994743981 1
0.9%
331501.593718204 1
0.9%
332209.678232161 1
0.9%
332592.498861188 1
0.9%
333862.343438669 1
0.9%
334303.395884079 1
0.9%
335471.540882583 2
1.9%
336037.52103192 1
0.9%
336405.59837683 1
0.9%
336819.528940223 2
1.9%
ValueCountFrequency (%)
366747.877404956 1
0.9%
356698.367083593 1
0.9%
356070.888605097 1
0.9%
356036.44582992 1
0.9%
356001.144497932 1
0.9%
355073.826077993 1
0.9%
354745.585117147 1
0.9%
354503.88762157 1
0.9%
351885.752741408 1
0.9%
350653.343026127 1
0.9%

좌표정보(Y)
Real number (ℝ)

Distinct95
Distinct (%)88.8%
Missing1
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean263261.69
Minimum244623.57
Maximum272229.95
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-16T05:40:58.202333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum244623.57
5-th percentile258050.03
Q1262077.99
median263657.79
Q3265125.72
95-th percentile268044.17
Maximum272229.95
Range27606.386
Interquartile range (IQR)3047.7352

Descriptive statistics

Standard deviation3875.8959
Coefficient of variation (CV)0.014722598
Kurtosis10.329173
Mean263261.69
Median Absolute Deviation (MAD)1544.641
Skewness-2.4775746
Sum28169001
Variance15022569
MonotonicityNot monotonic
2023-12-16T05:40:59.460469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
263518.126677499 3
 
2.8%
264353.915882337 2
 
1.9%
264683.827138794 2
 
1.9%
266252.707105873 2
 
1.9%
265280.518596471 2
 
1.9%
263121.400885941 2
 
1.9%
262848.664717992 2
 
1.9%
262521.308162977 2
 
1.9%
259409.219302149 2
 
1.9%
261742.707245162 2
 
1.9%
Other values (85) 86
79.6%
ValueCountFrequency (%)
244623.565628627 1
0.9%
244660.404545869 1
0.9%
248721.773571811 1
0.9%
256711.036921305 2
1.9%
257467.514119173 1
0.9%
259409.219302149 2
1.9%
259688.945590446 1
0.9%
260145.429823928 1
0.9%
260165.00196829 1
0.9%
260807.020153661 1
0.9%
ValueCountFrequency (%)
272229.951944816 1
0.9%
269056.775908224 1
0.9%
268490.244806368 1
0.9%
268476.874902975 1
0.9%
268084.842609653 1
0.9%
268051.856327351 1
0.9%
268026.238463541 1
0.9%
267685.117047812 1
0.9%
266953.162066643 1
0.9%
266853.800697582 1
0.9%

법인구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size996.0 B
법인
98 
개인
10 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row법인
2nd row법인
3rd row법인
4th row법인
5th row법인

Common Values

ValueCountFrequency (%)
법인 98
90.7%
개인 10
 
9.3%

Length

2023-12-16T05:41:00.520745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T05:41:01.034859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
법인 98
90.7%
개인 10
 
9.3%

구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size996.0 B
무료
108 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row무료
2nd row무료
3rd row무료
4th row무료
5th row무료

Common Values

ValueCountFrequency (%)
무료 108
100.0%

Length

2023-12-16T05:41:01.759548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T05:41:02.096198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
무료 108
100.0%

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)법인구분명구분명
01무료직업소개소11_50_01_P341000020193410130145000072019-07-24<NA>1영업/정상20영업중<NA><NA><NA><NA>053 356 0463<NA><NA><NA>대구광역시 중구 국채보상로 554-1 (종로1가)41935(사)더나은세상을위한공감2019-08-26 10:04:50U2019-08-28 02:40:00<NA>343655.153991264524.42689법인무료
12무료직업소개소11_50_01_P341000020233410151145000022023-04-26<NA>1영업/정상20영업중<NA><NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 동덕로30길 139-16, 1층 (동인동4가)41947글로벌가족문화센터2023-04-26 17:58:31I2023-05-26 08:48:36<NA>345515.201935264079.746239법인무료
23무료직업소개소11_50_01_P341000020083410071145000032008-02-04<NA>1영업/정상20영업중<NA><NA><NA><NA>053 4221901<NA><NA>대구광역시 중구 삼덕동2가 149번지 63호대구광역시 중구 공평로4길 24-7 (삼덕동2가)<NA>대구중구시니어클럽2019-08-16 14:07:07U2019-08-18 02:40:00<NA>344551.468748263933.992285법인무료
34무료직업소개소11_50_01_P341000020083410071145000062008-04-07<NA>1영업/정상20영업중<NA><NA><NA><NA>0532531910<NA><NA>대구광역시 중구 남산동 2990 남산휴먼시아1단지아파트대구광역시 중구 달구벌대로 1960, 103동동 지하1층 (남산동, 남산휴먼시아1단지아파트)41974대구광역시장애인재활협회2021-04-02 17:58:52U2021-04-04 02:40:00<NA>342515.38384263657.787156법인무료
45무료직업소개소11_50_01_P341000020103410071145000112010-07-21<NA>1영업/정상20영업중<NA><NA><NA><NA>053 424 0793<NA>700-812대구광역시 중구 대봉2동 88번지 4호대구광역시 중구 대봉로 243 (대봉동)<NA>대구경북인쇄정보산업협동조합2020-06-30 16:46:28U2020-07-02 02:40:00<NA>344507.804235263411.962963법인무료
56무료직업소개소11_50_01_P341000020233410163145000012023-09-27<NA>1영업/정상20영업중<NA><NA><NA><NA>053654 1155<NA><NA><NA>대구광역시 중구 태평로 177, 2층 250호 (태평로1가, 태평라이프아파트)41903(사)전국중소기업중소상공인협회2023-09-27 14:10:08I2023-09-29 00:18:04<NA>344204.52247265028.313376법인무료
67무료직업소개소11_50_01_P342000020063420058112000012006-05-30<NA>1영업/정상20영업중<NA><NA><NA><NA>053 952 1141<NA><NA>대구광역시 동구 신암동 593번지 5호 우진빌딩대구광역시 동구 아양로 39, 우진빌딩 6층 (신암동)41198대구종합취업지원센터2019-10-22 08:46:21U2019-10-24 02:40:00<NA>346091.641574265891.893179법인무료
78무료직업소개소11_50_01_P342000020123420111145000222012-05-07<NA>1영업/정상20영업중<NA><NA><NA><NA>053 742 1775<NA><NA>대구광역시 동구 신천동 92 대구지식서비스센터 2층대구광역시 동구 동대구로 481, 대구지식서비스센터 2층 (신천동)41256(사)대구경북첨단벤처기업연합회2022-06-30 10:25:53U2022-07-02 02:40:00<NA>346671.947023264883.172311법인무료
89무료직업소개소11_50_01_P342000020153420135145000012001-07-10<NA>1영업/정상20영업중<NA><NA><NA><NA>070 88957162<NA><NA>대구광역시 동구 신서동 1144번지대구광역시 동구 첨단로 39 (신서동)701-300한국산업단지공단2023-05-17 14:11:05U2023-05-19 02:40:00<NA>356070.888605265801.054699법인무료
910무료직업소개소11_50_01_P342000020163420135145000112016-05-11<NA>1영업/정상20영업중<NA><NA><NA><NA>053 242 1331<NA><NA><NA>대구광역시 동구 아양로8길 10-1 (신암동)41207(사)한국여성인력개발원 동구여성문화공간 직업소개소2021-07-13 10:24:40U2021-07-15 02:40:00<NA>346114.989173265743.010783법인무료
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)법인구분명구분명
9899무료직업소개소11_50_01_P347000020063470100112000012006-12-26<NA>3폐업40폐업2021-01-19<NA><NA><NA><NA><NA><NA>대구광역시 달서구 송현동 1971번지 7호 20통 6반<NA><NA>밀알무료직업소개소2021-05-11 16:54:26U2021-05-13 02:40:00<NA><NA><NA>법인무료
99100무료직업소개소11_50_01_P347000020073470117112000012007-04-20<NA>3폐업40폐업2010-04-01<NA><NA><NA><NA><NA><NA>대구광역시 서구 내당동 466번지 20호<NA><NA>노숙인쉼터근로자의집2010-04-02 08:57:55I2018-08-31 23:59:59<NA>340250.954885263158.357958법인무료
100101무료직업소개소11_50_01_P347000020093470117145000112009-08-11<NA>3폐업40폐업2016-04-28<NA><NA><NA><NA><NA>704-310대구광역시 달서구 대곡동 7번지 4호<NA><NA>한국사랑무료직업소개소2016-04-28 10:19:43I2018-08-31 23:59:59<NA>336405.598377257467.514119법인무료
101102무료직업소개소11_50_01_P347000020093470117145000132009-09-28<NA>3폐업40폐업2020-07-09<NA><NA><NA><NA><NA><NA>대구광역시 수성구 지산1동 1056번지 5호<NA><NA>월성취업정보센터무료직업소개소2020-07-09 14:45:14U2020-07-11 02:40:00<NA>346713.882473260145.429824법인무료
102103무료직업소개소11_50_01_P348000020093480281145000022009-04-29<NA>1영업/정상20영업중<NA><NA><NA><NA>053616 6500<NA><NA>대구광역시 달성군 논공읍 북리 1번지 83호대구광역시 달성군 논공읍 논공중앙로33길 7-942981달성1차산업단지관리공단 취업정보센터2023-09-12 13:00:19U2023-09-14 02:40:00<NA>331224.994744248721.773572법인무료
103104무료직업소개소11_50_01_P348000020163480326145000102012-12-04<NA>1영업/정상20영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 다사읍 세천리 1684번지 2호대구광역시 달성군 다사읍 세천로3길 742921대구경북기계협동조합 무료직업소개소2019-07-15 15:09:31U2019-07-17 02:40:00<NA>332592.498861264489.010332법인무료
104105무료직업소개소11_50_01_P348000020223480365145000092022-12-08<NA>1영업/정상20영업중<NA><NA><NA><NA>0532625543<NA><NA><NA>대구광역시 달성군 현풍읍 테크노상업로 48, 동신빌딩 203호43017유앤드협동조합2023-06-08 16:37:03U2023-06-10 02:40:00<NA>331501.593718244623.565629법인무료
105106무료직업소개소11_50_01_P348000020233480365145000012023-01-04<NA>1영업/정상20영업중<NA><NA><NA><NA>0536179220<NA><NA><NA>대구광역시 달성군 화원읍 비슬로512길 66, 2층 201호42962달성시니어클럽2023-06-08 16:38:15U2023-06-10 02:40:00<NA>335471.540883256711.036921개인무료
106107무료직업소개소11_50_01_P348000020233480365145000022023-01-06<NA>1영업/정상20영업중<NA><NA><NA><NA>0536175112<NA><NA><NA>대구광역시 달성군 유가읍 테크노상업로 120, 엠스퀘어플러스 3층 412호43018사람과 사람 무료직업소개소2023-06-07 17:40:05U2023-06-10 01:13:57<NA>332209.678232244660.404546법인무료
107108무료직업소개소11_50_01_P348000020173480358145000052017-09-06<NA>3폐업40폐업2020-01-02<NA><NA><NA>053 617 9220<NA><NA>대구광역시 달성군 화원읍 천내리 892번지 1호대구광역시 달성군 화원읍 비슬로512길 66, 화원전통시장건물 2층42962달성시니어클럽 무료직업소개소2020-01-02 10:51:10U2020-01-04 02:40:00<NA>335471.540883256711.036921법인무료