Overview

Dataset statistics

Number of variables30
Number of observations100
Missing cells819
Missing cells (%)27.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory25.3 KiB
Average record size in memory259.3 B

Variable types

Numeric10
Categorical9
Unsupported6
Text4
DateTime1

Dataset

Description22년06월_6270000_대구광역시_11_50_01_P_무료직업소개소
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000093910&dataSetDetailId=DDI_0000093903&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
구분명 has constant value ""Constant
법인구분명 is highly imbalanced (56.4%)Imbalance
인허가취소일자 has 100 (100.0%) missing valuesMissing
폐업일자 has 57 (57.0%) missing valuesMissing
휴업시작일자 has 100 (100.0%) missing valuesMissing
휴업종료일자 has 100 (100.0%) missing valuesMissing
재개업일자 has 100 (100.0%) missing valuesMissing
소재지전화 has 24 (24.0%) missing valuesMissing
소재지면적 has 100 (100.0%) missing valuesMissing
소재지우편번호 has 68 (68.0%) missing valuesMissing
소재지전체주소 has 26 (26.0%) missing valuesMissing
도로명전체주소 has 6 (6.0%) missing valuesMissing
도로명우편번호 has 34 (34.0%) missing valuesMissing
업태구분명 has 100 (100.0%) missing valuesMissing
좌표정보(X) has 2 (2.0%) missing valuesMissing
좌표정보(Y) has 2 (2.0%) missing valuesMissing
번호 has unique valuesUnique
관리번호 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 started2024-04-21 19:53:54.744033
Analysis finished2024-04-21 19:53:55.481347
Duration0.74 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50.5
Minimum1
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-04-22T04:53:55.689006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.95
Q125.75
median50.5
Q375.25
95-th percentile95.05
Maximum100
Range99
Interquartile range (IQR)49.5

Descriptive statistics

Standard deviation29.011492
Coefficient of variation (CV)0.57448499
Kurtosis-1.2
Mean50.5
Median Absolute Deviation (MAD)25
Skewness0
Sum5050
Variance841.66667
MonotonicityStrictly increasing
2024-04-22T04:53:56.122620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.0%
65 1
 
1.0%
75 1
 
1.0%
74 1
 
1.0%
73 1
 
1.0%
72 1
 
1.0%
71 1
 
1.0%
70 1
 
1.0%
69 1
 
1.0%
68 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
1 1
1.0%
2 1
1.0%
3 1
1.0%
4 1
1.0%
5 1
1.0%
6 1
1.0%
7 1
1.0%
8 1
1.0%
9 1
1.0%
10 1
1.0%
ValueCountFrequency (%)
100 1
1.0%
99 1
1.0%
98 1
1.0%
97 1
1.0%
96 1
1.0%
95 1
1.0%
94 1
1.0%
93 1
1.0%
92 1
1.0%
91 1
1.0%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size928.0 B
무료직업소개소
100 

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 100
100.0%

Length

2024-04-22T04:53:56.526475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T04:53:56.811684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
무료직업소개소 100
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size928.0 B
11_50_01_P
100 

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 100
100.0%

Length

2024-04-22T04:53:57.116627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T04:53:57.403203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
11_50_01_p 100
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3442000
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-04-22T04:53:57.670427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3420000
Q13430000
median3440000
Q33460000
95-th percentile3470000
Maximum3480000
Range70000
Interquartile range (IQR)30000

Descriptive statistics

Standard deviation19384.467
Coefficient of variation (CV)0.0056317453
Kurtosis-1.1313017
Mean3442000
Median Absolute Deviation (MAD)20000
Skewness0.27169293
Sum3.442 × 108
Variance3.7575758 × 108
MonotonicityIncreasing
2024-04-22T04:53:58.031684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3430000 23
23.0%
3420000 19
19.0%
3470000 15
15.0%
3450000 14
14.0%
3440000 11
11.0%
3460000 11
11.0%
3410000 4
 
4.0%
3480000 3
 
3.0%
ValueCountFrequency (%)
3410000 4
 
4.0%
3420000 19
19.0%
3430000 23
23.0%
3440000 11
11.0%
3450000 14
14.0%
3460000 11
11.0%
3470000 15
15.0%
3480000 3
 
3.0%
ValueCountFrequency (%)
3480000 3
 
3.0%
3470000 15
15.0%
3460000 11
11.0%
3450000 14
14.0%
3440000 11
11.0%
3430000 23
23.0%
3420000 19
19.0%
3410000 4
 
4.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0121442 × 1018
Minimum1.991347 × 1018
Maximum2.022346 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-04-22T04:53:58.435666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.991347 × 1018
5-th percentile2.0012921 × 1018
Q12.0093445 × 1018
median2.012343 × 1018
Q32.0165968 × 1018
95-th percentile2.0213451 × 1018
Maximum2.022346 × 1018
Range3.099901 × 1016
Interquartile range (IQR)7.2522677 × 1015

Descriptive statistics

Standard deviation6.5458387 × 1015
Coefficient of variation (CV)0.0032531658
Kurtosis0.83909185
Mean2.0121442 × 1018
Median Absolute Deviation (MAD)4.002003 × 1015
Skewness-0.75887511
Sum-1.6997637 × 1018
Variance4.2848005 × 1031
MonotonicityNot monotonic
2024-04-22T04:53:58.887592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2019341013014500007 1
 
1.0%
2015345014214500014 1
 
1.0%
2010346007714500007 1
 
1.0%
2009346007714500025 1
 
1.0%
2022346017714500005 1
 
1.0%
2019346016214500007 1
 
1.0%
2014345009914500002 1
 
1.0%
2010345009914500002 1
 
1.0%
2009345009914500007 1
 
1.0%
2009345009914500001 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
1991347007511200001 1
1.0%
1993343001011200001 1
1.0%
1993345001211200001 1
1.0%
1998342005811200001 1
1.0%
2000344001411200001 1
1.0%
2001342005811200001 1
1.0%
2001342005811200002 1
1.0%
2002343001011200001 1
1.0%
2002347011714500002 1
1.0%
2003347011714500001 1
1.0%
ValueCountFrequency (%)
2022346017714500005 1
1.0%
2022344012414500010 1
1.0%
2022342016214500012 1
1.0%
2021347018114500017 1
1.0%
2021346017714500005 1
1.0%
2021345016014500010 1
1.0%
2021343009514500010 1
1.0%
2021343009514500003 1
1.0%
2021342016214500001 1
1.0%
2020347018114500016 1
1.0%

인허가일자
Real number (ℝ)

Distinct98
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20115213
Minimum19910809
Maximum20220621
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-04-22T04:53:59.315920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19910809
5-th percentile19999696
Q120087686
median20120159
Q320153455
95-th percentile20211019
Maximum20220621
Range309812
Interquartile range (IQR)65769

Descriptive statistics

Standard deviation64759.378
Coefficient of variation (CV)0.0032194229
Kurtosis0.95666256
Mean20115213
Median Absolute Deviation (MAD)35412
Skewness-0.70476369
Sum2.0115213 × 109
Variance4.193777 × 109
MonotonicityNot monotonic
2024-04-22T04:53:59.773339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20151231 2
 
2.0%
20140326 2
 
2.0%
20190724 1
 
1.0%
20120227 1
 
1.0%
20100507 1
 
1.0%
20091217 1
 
1.0%
20220421 1
 
1.0%
20190222 1
 
1.0%
20100112 1
 
1.0%
20090318 1
 
1.0%
Other values (88) 88
88.0%
ValueCountFrequency (%)
19910809 1
1.0%
19930803 1
1.0%
19931201 1
1.0%
19980409 1
1.0%
19980529 1
1.0%
20000705 1
1.0%
20010618 1
1.0%
20010710 1
1.0%
20010924 1
1.0%
20050115 1
1.0%
ValueCountFrequency (%)
20220621 1
1.0%
20220518 1
1.0%
20220421 1
1.0%
20211102 1
1.0%
20211031 1
1.0%
20211018 1
1.0%
20210427 1
1.0%
20210415 1
1.0%
20210119 1
1.0%
20200923 1
1.0%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size1.0 KiB

영업상태구분코드
Categorical

Distinct3
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size928.0 B
1
53 
3
46 
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 53
53.0%
3 46
46.0%
4 1
 
1.0%

Length

2024-04-22T04:54:00.195420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T04:54:00.500531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 53
53.0%
3 46
46.0%
4 1
 
1.0%

영업상태명
Categorical

Distinct3
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size928.0 B
영업/정상
53 
폐업
46 
취소/말소/만료/정지/중지
 
1

Length

Max length14
Median length5
Mean length3.71
Min length2

Unique

Unique1 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 53
53.0%
폐업 46
46.0%
취소/말소/만료/정지/중지 1
 
1.0%

Length

2024-04-22T04:54:00.858773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T04:54:01.179730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 53
53.0%
폐업 46
46.0%
취소/말소/만료/정지/중지 1
 
1.0%

상세영업상태코드
Categorical

Distinct3
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size928.0 B
20
53 
40
46 
70
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique1 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
20 53
53.0%
40 46
46.0%
70 1
 
1.0%

Length

2024-04-22T04:54:01.522471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T04:54:01.827477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20 53
53.0%
40 46
46.0%
70 1
 
1.0%

상세영업상태명
Categorical

Distinct3
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size928.0 B
영업중
53 
폐업
46 
등록취소
 
1

Length

Max length4
Median length3
Mean length2.55
Min length2

Unique

Unique1 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 53
53.0%
폐업 46
46.0%
등록취소 1
 
1.0%

Length

2024-04-22T04:54:02.202903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T04:54:02.542560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 53
53.0%
폐업 46
46.0%
등록취소 1
 
1.0%

폐업일자
Real number (ℝ)

MISSING 

Distinct42
Distinct (%)97.7%
Missing57
Missing (%)57.0%
Infinite0
Infinite (%)0.0%
Mean20161721
Minimum20090112
Maximum20210729
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-04-22T04:54:02.745054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20090112
5-th percentile20100324
Q120130312
median20180126
Q320195413
95-th percentile20210511
Maximum20210729
Range120617
Interquartile range (IQR)65101

Descriptive statistics

Standard deviation37792.788
Coefficient of variation (CV)0.0018744822
Kurtosis-1.1945208
Mean20161721
Median Absolute Deviation (MAD)29993
Skewness-0.35038964
Sum8.6695401 × 108
Variance1.4282948 × 109
MonotonicityNot monotonic
2024-04-22T04:54:02.988790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
20200325 2
 
2.0%
20090112 1
 
1.0%
20130319 1
 
1.0%
20200610 1
 
1.0%
20091202 1
 
1.0%
20130115 1
 
1.0%
20180130 1
 
1.0%
20120614 1
 
1.0%
20140206 1
 
1.0%
20180126 1
 
1.0%
Other values (32) 32
32.0%
(Missing) 57
57.0%
ValueCountFrequency (%)
20090112 1
1.0%
20091202 1
1.0%
20100315 1
1.0%
20100401 1
1.0%
20110706 1
1.0%
20111219 1
1.0%
20120222 1
1.0%
20120612 1
1.0%
20120614 1
1.0%
20130115 1
1.0%
ValueCountFrequency (%)
20210729 1
1.0%
20210528 1
1.0%
20210521 1
1.0%
20210420 1
1.0%
20210119 1
1.0%
20201223 1
1.0%
20200709 1
1.0%
20200610 1
1.0%
20200325 2
2.0%
20200102 1
1.0%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size1.0 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size1.0 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size1.0 KiB

소재지전화
Text

MISSING 

Distinct74
Distinct (%)97.4%
Missing24
Missing (%)24.0%
Memory size928.0 B
2024-04-22T04:54:03.835058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.223684
Min length7

Characters and Unicode

Total characters853
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

Unique72 ?
Unique (%)94.7%

Sample

1st row053 356 0463
2nd row053 424 0793
3rd row0532531910
4th row053 4221901
5th row053 8110127
ValueCountFrequency (%)
053 57
31.1%
767 3
 
1.6%
356 3
 
1.6%
070 2
 
1.1%
8110127 2
 
1.1%
740 2
 
1.1%
527 2
 
1.1%
0408 2
 
1.1%
1331 2
 
1.1%
580 1
 
0.5%
Other values (107) 107
58.5%
2024-04-22T04:54:04.906189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 145
17.0%
5 139
16.3%
3 120
14.1%
116
13.6%
1 61
7.2%
7 54
 
6.3%
2 50
 
5.9%
6 43
 
5.0%
4 43
 
5.0%
9 43
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 737
86.4%
Space Separator 116
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 145
19.7%
5 139
18.9%
3 120
16.3%
1 61
8.3%
7 54
 
7.3%
2 50
 
6.8%
6 43
 
5.8%
4 43
 
5.8%
9 43
 
5.8%
8 39
 
5.3%
Space Separator
ValueCountFrequency (%)
116
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 853
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 145
17.0%
5 139
16.3%
3 120
14.1%
116
13.6%
1 61
7.2%
7 54
 
6.3%
2 50
 
5.9%
6 43
 
5.0%
4 43
 
5.0%
9 43
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 853
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 145
17.0%
5 139
16.3%
3 120
14.1%
116
13.6%
1 61
7.2%
7 54
 
6.3%
2 50
 
5.9%
6 43
 
5.0%
4 43
 
5.0%
9 43
 
5.0%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size1.0 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct30
Distinct (%)93.8%
Missing68
Missing (%)68.0%
Infinite0
Infinite (%)0.0%
Mean703734.41
Minimum700812
Maximum706847
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-04-22T04:54:05.124662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum700812
5-th percentile701169.5
Q1702023
median703434.5
Q3705805
95-th percentile706469.8
Maximum706847
Range6035
Interquartile range (IQR)3782

Descriptive statistics

Standard deviation1833.8451
Coefficient of variation (CV)0.0026058767
Kurtosis-1.2357755
Mean703734.41
Median Absolute Deviation (MAD)1596
Skewness0.19564769
Sum22519501
Variance3362987.9
MonotonicityNot monotonic
2024-04-22T04:54:05.336343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
703846 2
 
2.0%
702852 2
 
2.0%
705832 1
 
1.0%
704310 1
 
1.0%
704946 1
 
1.0%
704923 1
 
1.0%
706060 1
 
1.0%
706032 1
 
1.0%
706180 1
 
1.0%
706824 1
 
1.0%
Other values (20) 20
 
20.0%
(Missing) 68
68.0%
ValueCountFrequency (%)
700812 1
1.0%
701010 1
1.0%
701300 1
1.0%
701730 1
1.0%
701810 1
1.0%
701824 1
1.0%
701828 1
1.0%
701849 1
1.0%
702081 1
1.0%
702814 1
1.0%
ValueCountFrequency (%)
706847 1
1.0%
706824 1
1.0%
706180 1
1.0%
706060 1
1.0%
706032 1
1.0%
705832 1
1.0%
705818 1
1.0%
705817 1
1.0%
705801 1
1.0%
704946 1
1.0%

소재지전체주소
Text

MISSING 

Distinct72
Distinct (%)97.3%
Missing26
Missing (%)26.0%
Memory size928.0 B
2024-04-22T04:54:06.361154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length43
Mean length25.391892
Min length18

Characters and Unicode

Total characters1879
Distinct characters131
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 대봉2동 88번지 4호
2nd row대구광역시 중구 남산동 2990 남산휴먼시아1단지아파트
3rd row대구광역시 중구 삼덕동2가 149번지 63호
4th row대구광역시 동구 동호동 107번지 5호
5th row대구광역시 동구 신암동 593번지 5호 우진빌딩
ValueCountFrequency (%)
대구광역시 73
 
17.7%
서구 17
 
4.1%
수성구 14
 
3.4%
동구 12
 
2.9%
달서구 9
 
2.2%
남구 9
 
2.2%
1호 8
 
1.9%
6호 7
 
1.7%
북구 6
 
1.5%
7호 5
 
1.2%
Other values (196) 252
61.2%
2024-04-22T04:54:07.637463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
346
18.4%
구 145
 
7.7%
1 95
 
5.1%
동 87
 
4.6%
대 85
 
4.5%
시 75
 
4.0%
광 73
 
3.9%
역 73
 
3.9%
지 72
 
3.8%
번 68
 
3.6%
Other values (121) 760
40.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1111
59.1%
Decimal Number 418
 
22.2%
Space Separator 346
 
18.4%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%
Other Punctuation 1
 
0.1%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 145
13.1%
동 87
 
7.8%
대 85
 
7.7%
시 75
 
6.8%
광 73
 
6.6%
역 73
 
6.6%
지 72
 
6.5%
번 68
 
6.1%
호 67
 
6.0%
서 28
 
2.5%
Other values (106) 338
30.4%
Decimal Number
ValueCountFrequency (%)
1 95
22.7%
2 55
13.2%
5 42
10.0%
3 38
 
9.1%
6 37
 
8.9%
4 37
 
8.9%
0 36
 
8.6%
7 31
 
7.4%
8 26
 
6.2%
9 21
 
5.0%
Space Separator
ValueCountFrequency (%)
346
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1111
59.1%
Common 768
40.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 145
13.1%
동 87
 
7.8%
대 85
 
7.7%
시 75
 
6.8%
광 73
 
6.6%
역 73
 
6.6%
지 72
 
6.5%
번 68
 
6.1%
호 67
 
6.0%
서 28
 
2.5%
Other values (106) 338
30.4%
Common
ValueCountFrequency (%)
346
45.1%
1 95
 
12.4%
2 55
 
7.2%
5 42
 
5.5%
3 38
 
4.9%
6 37
 
4.8%
4 37
 
4.8%
0 36
 
4.7%
7 31
 
4.0%
8 26
 
3.4%
Other values (5) 25
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1111
59.1%
ASCII 768
40.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
346
45.1%
1 95
 
12.4%
2 55
 
7.2%
5 42
 
5.5%
3 38
 
4.9%
6 37
 
4.8%
4 37
 
4.8%
0 36
 
4.7%
7 31
 
4.0%
8 26
 
3.4%
Other values (5) 25
 
3.3%
Hangul
ValueCountFrequency (%)
구 145
13.1%
동 87
 
7.8%
대 85
 
7.7%
시 75
 
6.8%
광 73
 
6.6%
역 73
 
6.6%
지 72
 
6.5%
번 68
 
6.1%
호 67
 
6.0%
서 28
 
2.5%
Other values (106) 338
30.4%

도로명전체주소
Text

MISSING 

Distinct92
Distinct (%)97.9%
Missing6
Missing (%)6.0%
Memory size928.0 B
2024-04-22T04:54:08.664906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length43
Mean length29.521277
Min length21

Characters and Unicode

Total characters2775
Distinct characters198
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

Unique90 ?
Unique (%)95.7%

Sample

1st row대구광역시 중구 국채보상로 554-1 (종로1가)
2nd row대구광역시 중구 대봉로 243 (대봉동)
3rd row대구광역시 중구 달구벌대로 1960, 103동동 지하1층 (남산동, 남산휴먼시아1단지아파트)
4th row대구광역시 중구 공평로4길 24-7 (삼덕동2가)
5th row대구광역시 동구 경안로 728, 4층 (동호동)
ValueCountFrequency (%)
대구광역시 93
 
17.1%
서구 19
 
3.5%
동구 18
 
3.3%
수성구 16
 
2.9%
북구 12
 
2.2%
남구 11
 
2.0%
달서구 10
 
1.8%
평리동 8
 
1.5%
4층 8
 
1.5%
국채보상로 6
 
1.1%
Other values (245) 342
63.0%
2024-04-22T04:54:09.945772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
449
 
16.2%
구 214
 
7.7%
대 140
 
5.0%
동 133
 
4.8%
시 99
 
3.6%
역 94
 
3.4%
로 94
 
3.4%
광 94
 
3.4%
1 91
 
3.3%
( 90
 
3.2%
Other values (188) 1277
46.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1646
59.3%
Space Separator 449
 
16.2%
Decimal Number 421
 
15.2%
Open Punctuation 90
 
3.2%
Close Punctuation 90
 
3.2%
Other Punctuation 60
 
2.2%
Dash Punctuation 17
 
0.6%
Uppercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 214
 
13.0%
대 140
 
8.5%
동 133
 
8.1%
시 99
 
6.0%
역 94
 
5.7%
로 94
 
5.7%
광 94
 
5.7%
서 42
 
2.6%
성 39
 
2.4%
길 38
 
2.3%
Other values (171) 659
40.0%
Decimal Number
ValueCountFrequency (%)
1 91
21.6%
2 59
14.0%
3 54
12.8%
4 44
10.5%
6 41
9.7%
0 38
9.0%
7 31
 
7.4%
5 27
 
6.4%
9 18
 
4.3%
8 18
 
4.3%
Uppercase Letter
ValueCountFrequency (%)
W 1
50.0%
S 1
50.0%
Space Separator
ValueCountFrequency (%)
449
100.0%
Open Punctuation
ValueCountFrequency (%)
( 90
100.0%
Close Punctuation
ValueCountFrequency (%)
) 90
100.0%
Other Punctuation
ValueCountFrequency (%)
, 60
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1646
59.3%
Common 1127
40.6%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 214
 
13.0%
대 140
 
8.5%
동 133
 
8.1%
시 99
 
6.0%
역 94
 
5.7%
로 94
 
5.7%
광 94
 
5.7%
서 42
 
2.6%
성 39
 
2.4%
길 38
 
2.3%
Other values (171) 659
40.0%
Common
ValueCountFrequency (%)
449
39.8%
1 91
 
8.1%
( 90
 
8.0%
) 90
 
8.0%
, 60
 
5.3%
2 59
 
5.2%
3 54
 
4.8%
4 44
 
3.9%
6 41
 
3.6%
0 38
 
3.4%
Other values (5) 111
 
9.8%
Latin
ValueCountFrequency (%)
W 1
50.0%
S 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1646
59.3%
ASCII 1129
40.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
449
39.8%
1 91
 
8.1%
( 90
 
8.0%
) 90
 
8.0%
, 60
 
5.3%
2 59
 
5.2%
3 54
 
4.8%
4 44
 
3.9%
6 41
 
3.6%
0 38
 
3.4%
Other values (7) 113
 
10.0%
Hangul
ValueCountFrequency (%)
구 214
 
13.0%
대 140
 
8.5%
동 133
 
8.1%
시 99
 
6.0%
역 94
 
5.7%
로 94
 
5.7%
광 94
 
5.7%
서 42
 
2.6%
성 39
 
2.4%
길 38
 
2.3%
Other values (171) 659
40.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct62
Distinct (%)93.9%
Missing34
Missing (%)34.0%
Infinite0
Infinite (%)0.0%
Mean252529.23
Minimum38453
Maximum706827
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-04-22T04:54:10.194597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum38453
5-th percentile41094.25
Q141765.25
median42440.5
Q3701809.25
95-th percentile705835.75
Maximum706827
Range668374
Interquartile range (IQR)660044

Descriptive statistics

Standard deviation310685.75
Coefficient of variation (CV)1.2302962
Kurtosis-1.4050137
Mean252529.23
Median Absolute Deviation (MAD)921.5
Skewness0.79902142
Sum16666929
Variance9.6525636 × 1010
MonotonicityNot monotonic
2024-04-22T04:54:10.734972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
42429 2
 
2.0%
42724 2
 
2.0%
42250 2
 
2.0%
42452 2
 
2.0%
701300 1
 
1.0%
706764 1
 
1.0%
41498 1
 
1.0%
41504 1
 
1.0%
41500 1
 
1.0%
702837 1
 
1.0%
Other values (52) 52
52.0%
(Missing) 34
34.0%
ValueCountFrequency (%)
38453 1
1.0%
41061 1
1.0%
41068 1
1.0%
41078 1
1.0%
41143 1
1.0%
41198 1
1.0%
41207 1
1.0%
41256 1
1.0%
41260 1
1.0%
41498 1
1.0%
ValueCountFrequency (%)
706827 1
1.0%
706824 1
1.0%
706764 1
1.0%
705837 1
1.0%
705832 1
1.0%
705801 1
1.0%
704946 1
1.0%
704923 1
1.0%
704901 1
1.0%
703830 1
1.0%

사업장명
Text

Distinct98
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Memory size928.0 B
2024-04-22T04:54:11.572088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length21.5
Mean length14.78
Min length4

Characters and Unicode

Total characters1478
Distinct characters196
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

Unique96 ?
Unique (%)96.0%

Sample

1st row(사)더나은세상을위한공감
2nd row대구경북인쇄정보산업협동조합
3rd row대구광역시장애인재활협회
4th row대구중구시니어클럽
5th row한국녹색환경협회
ValueCountFrequency (%)
무료직업소개소 18
 
12.2%
사단법인 4
 
2.7%
대구테크노파크 2
 
1.4%
대구희망리본본부 2
 
1.4%
대구경북지역 2
 
1.4%
대구취업지원센터 2
 
1.4%
재)대구직업전문학교 2
 
1.4%
한국녹색환경협회 2
 
1.4%
토목건축노동조합 2
 
1.4%
대구성서산업단지관리공단 1
 
0.7%
Other values (110) 110
74.8%
2024-04-22T04:54:12.557857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
소 91
 
6.2%
업 75
 
5.1%
구 75
 
5.1%
대 62
 
4.2%
개 47
 
3.2%
47
 
3.2%
직 44
 
3.0%
무 38
 
2.6%
지 37
 
2.5%
료 36
 
2.4%
Other values (186) 926
62.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1364
92.3%
Space Separator 47
 
3.2%
Close Punctuation 27
 
1.8%
Open Punctuation 25
 
1.7%
Uppercase Letter 13
 
0.9%
Decimal Number 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
소 91
 
6.7%
업 75
 
5.5%
구 75
 
5.5%
대 62
 
4.5%
개 47
 
3.4%
직 44
 
3.2%
무 38
 
2.8%
지 37
 
2.7%
료 36
 
2.6%
사 32
 
2.3%
Other values (174) 827
60.6%
Uppercase Letter
ValueCountFrequency (%)
D 3
23.1%
R 3
23.1%
H 3
23.1%
Y 1
 
7.7%
A 1
 
7.7%
C 1
 
7.7%
W 1
 
7.7%
Decimal Number
ValueCountFrequency (%)
1 1
50.0%
3 1
50.0%
Space Separator
ValueCountFrequency (%)
47
100.0%
Close Punctuation
ValueCountFrequency (%)
) 27
100.0%
Open Punctuation
ValueCountFrequency (%)
( 25
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1364
92.3%
Common 101
 
6.8%
Latin 13
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
소 91
 
6.7%
업 75
 
5.5%
구 75
 
5.5%
대 62
 
4.5%
개 47
 
3.4%
직 44
 
3.2%
무 38
 
2.8%
지 37
 
2.7%
료 36
 
2.6%
사 32
 
2.3%
Other values (174) 827
60.6%
Latin
ValueCountFrequency (%)
D 3
23.1%
R 3
23.1%
H 3
23.1%
Y 1
 
7.7%
A 1
 
7.7%
C 1
 
7.7%
W 1
 
7.7%
Common
ValueCountFrequency (%)
47
46.5%
) 27
26.7%
( 25
24.8%
1 1
 
1.0%
3 1
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1364
92.3%
ASCII 114
 
7.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
소 91
 
6.7%
업 75
 
5.5%
구 75
 
5.5%
대 62
 
4.5%
개 47
 
3.4%
직 44
 
3.2%
무 38
 
2.8%
지 37
 
2.7%
료 36
 
2.6%
사 32
 
2.3%
Other values (174) 827
60.6%
ASCII
ValueCountFrequency (%)
47
41.2%
) 27
23.7%
( 25
21.9%
D 3
 
2.6%
R 3
 
2.6%
H 3
 
2.6%
1 1
 
0.9%
Y 1
 
0.9%
3 1
 
0.9%
A 1
 
0.9%
Other values (2) 2
 
1.8%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0175202 × 1013
Minimum2.0041202 × 1013
Maximum2.022063 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-04-22T04:54:12.805824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0041202 × 1013
5-th percentile2.0099622 × 1013
Q12.0150508 × 1013
median2.0190471 × 1013
Q32.0210409 × 1013
95-th percentile2.0220531 × 1013
Maximum2.022063 × 1013
Range1.7942794 × 1011
Interquartile range (IQR)5.9900827 × 1010

Descriptive statistics

Standard deviation4.2032315 × 1010
Coefficient of variation (CV)0.0020833652
Kurtosis0.87781214
Mean2.0175202 × 1013
Median Absolute Deviation (MAD)2.0250456 × 1010
Skewness-1.1847338
Sum2.0175202 × 1015
Variance1.7667155 × 1021
MonotonicityNot monotonic
2024-04-22T04:54:13.071086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20190826100450 1
 
1.0%
20160204101454 1
 
1.0%
20200818154718 1
 
1.0%
20210622171417 1
 
1.0%
20220421150252 1
 
1.0%
20190222085700 1
 
1.0%
20180328083616 1
 
1.0%
20140207090037 1
 
1.0%
20120614182101 1
 
1.0%
20180130171657 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
20041202160424 1
1.0%
20060418113940 1
1.0%
20060926104055 1
1.0%
20061012152922 1
1.0%
20090203112122 1
1.0%
20100118102143 1
1.0%
20100315134850 1
1.0%
20100402085755 1
1.0%
20110706105938 1
1.0%
20111219171558 1
1.0%
ValueCountFrequency (%)
20220630102553 1
1.0%
20220629184200 1
1.0%
20220623103004 1
1.0%
20220620152038 1
1.0%
20220603175237 1
1.0%
20220527151138 1
1.0%
20220519091125 1
1.0%
20220503152925 1
1.0%
20220428175556 1
1.0%
20220421150252 1
1.0%

데이터갱신구분
Categorical

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size928.0 B
I
51 
U
49 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 51
51.0%
U 49
49.0%

Length

2024-04-22T04:54:13.306959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T04:54:13.469500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 51
51.0%
u 49
49.0%

데이터갱신일자
Date

Distinct56
Distinct (%)56.0%
Missing0
Missing (%)0.0%
Memory size928.0 B
Minimum2018-08-31 23:59:59
Maximum2022-07-02 02:40:00
2024-04-22T04:54:13.657399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-22T04:54:13.905299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size1.0 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct89
Distinct (%)90.8%
Missing2
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean343947.4
Minimum331235.15
Maximum366747.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-04-22T04:54:14.151747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum331235.15
5-th percentile335952.62
Q1340177.71
median343850.71
Q3346678.07
95-th percentile355212.92
Maximum366747.7
Range35512.557
Interquartile range (IQR)6500.3592

Descriptive statistics

Standard deviation5669.7856
Coefficient of variation (CV)0.016484456
Kurtosis2.2174561
Mean343947.4
Median Absolute Deviation (MAD)3246.8813
Skewness0.85517202
Sum33706845
Variance32146469
MonotonicityNot monotonic
2024-04-22T04:54:14.410646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
339873.900419 2
 
2.0%
340142.495318 2
 
2.0%
339384.623178 2
 
2.0%
344332.554299 2
 
2.0%
337705.232586 2
 
2.0%
336819.52894 2
 
2.0%
346678.067969 2
 
2.0%
344046.261885 2
 
2.0%
342619.210678 2
 
2.0%
342493.0 1
 
1.0%
Other values (79) 79
79.0%
(Missing) 2
 
2.0%
ValueCountFrequency (%)
331235.147561 1
1.0%
332592.498861 1
1.0%
333862.343439 1
1.0%
334303.395884 1
1.0%
335471.540882 1
1.0%
336037.521032 1
1.0%
336405.598377 1
1.0%
336819.52894 2
2.0%
337632.0 1
1.0%
337705.232586 2
2.0%
ValueCountFrequency (%)
366747.704560687 1
1.0%
356677.0 1
1.0%
356078.0 1
1.0%
356070.888605 1
1.0%
356001.144497932 1
1.0%
355073.826078 1
1.0%
354745.585117 1
1.0%
354504.881098 1
1.0%
350653.343026 1
1.0%
350550.24266 1
1.0%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct89
Distinct (%)90.8%
Missing2
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean263687.54
Minimum248727.67
Maximum272229.95
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-04-22T04:54:14.670203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum248727.67
5-th percentile259409.22
Q1262303.37
median263670.83
Q3265280.52
95-th percentile268065.43
Maximum272229.95
Range23502.28
Interquartile range (IQR)2977.1465

Descriptive statistics

Standard deviation3000.7673
Coefficient of variation (CV)0.011380012
Kurtosis5.8855408
Mean263687.54
Median Absolute Deviation (MAD)1583.6862
Skewness-1.1211033
Sum25841379
Variance9004604.5
MonotonicityNot monotonic
2024-04-22T04:54:14.916386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
262848.664718 2
 
2.0%
263121.400886 2
 
2.0%
263518.126678 2
 
2.0%
265280.518596 2
 
2.0%
262521.308163 2
 
2.0%
259409.219302 2
 
2.0%
264683.827139 2
 
2.0%
261742.707245 2
 
2.0%
266252.707106 2
 
2.0%
268062.0 1
 
1.0%
Other values (79) 79
79.0%
(Missing) 2
 
2.0%
ValueCountFrequency (%)
248727.671723 1
1.0%
256711.036921 1
1.0%
257467.514119 1
1.0%
258325.049675 1
1.0%
259409.219302 2
2.0%
259688.94559 1
1.0%
260145.429824 1
1.0%
260166.238089 1
1.0%
260807.020154 1
1.0%
260967.718045 1
1.0%
ValueCountFrequency (%)
272229.951945 1
1.0%
269105.367036386 1
1.0%
269056.775908 1
1.0%
268745.606545 1
1.0%
268084.84261 1
1.0%
268062.0 1
1.0%
268051.856327 1
1.0%
267685.117048 1
1.0%
267618.377001 1
1.0%
266953.162067 1
1.0%

법인구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size928.0 B
법인
91 
개인
 
9

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 91
91.0%
개인 9
 
9.0%

Length

2024-04-22T04:54:15.136606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T04:54:15.298849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
법인 91
91.0%
개인 9
 
9.0%

구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size928.0 B
무료
100 

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 100
100.0%

Length

2024-04-22T04:54:15.468291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T04:54:15.625552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
무료 100
100.0%

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)법인구분명구분명
01무료직업소개소11_50_01_P3410000201934101301450000720190724<NA>1영업/정상20영업중<NA><NA><NA><NA>053 356 0463<NA><NA><NA>대구광역시 중구 국채보상로 554-1 (종로1가)41935(사)더나은세상을위한공감20190826100450U2019-08-28 02:40:00.0<NA>343655.153991264524.42689법인무료
12무료직업소개소11_50_01_P3410000201034100711450001120100721<NA>1영업/정상20영업중<NA><NA><NA><NA>053 424 0793<NA>700812대구광역시 중구 대봉2동 88번지 4호대구광역시 중구 대봉로 243 (대봉동)<NA>대구경북인쇄정보산업협동조합20200630164628U2020-07-02 02:40:00.0<NA>344507.804235263411.962963법인무료
23무료직업소개소11_50_01_P3410000200834100711450000620080407<NA>1영업/정상20영업중<NA><NA><NA><NA>0532531910<NA><NA>대구광역시 중구 남산동 2990 남산휴먼시아1단지아파트대구광역시 중구 달구벌대로 1960, 103동동 지하1층 (남산동, 남산휴먼시아1단지아파트)41974대구광역시장애인재활협회20210402175852U2021-04-04 02:40:00.0<NA>342515.38384263657.787156법인무료
34무료직업소개소11_50_01_P3410000200834100711450000320080204<NA>1영업/정상20영업중<NA><NA><NA><NA>053 4221901<NA><NA>대구광역시 중구 삼덕동2가 149번지 63호대구광역시 중구 공평로4길 24-7 (삼덕동2가)<NA>대구중구시니어클럽20190816140707U2019-08-18 02:40:00.0<NA>344551.468748263933.992285법인무료
45무료직업소개소11_50_01_P3420000201834201351450001720151231<NA>1영업/정상20영업중<NA><NA><NA><NA>053 8110127<NA><NA>대구광역시 동구 동호동 107번지 5호대구광역시 동구 경안로 728, 4층 (동호동)41078한국녹색환경협회20180921183609U2018-09-21 23:59:59.0<NA>354745.585117264373.766541법인무료
56무료직업소개소11_50_01_P3420000200634200581120000120060530<NA>1영업/정상20영업중<NA><NA><NA><NA>053 952 1141<NA><NA>대구광역시 동구 신암동 593번지 5호 우진빌딩대구광역시 동구 아양로 39, 우진빌딩 6층 (신암동)41198대구종합취업지원센터20191022084621U2019-10-24 02:40:00.0<NA>346091.641574265891.893179법인무료
67무료직업소개소11_50_01_P3420000201234201111450002220120507<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)대구경북첨단벤처기업연합회20220630102553U2022-07-02 02:40:00.0<NA>346671.947023264883.172311법인무료
78무료직업소개소11_50_01_P3420000201534201351450000120010710<NA>1영업/정상20영업중<NA><NA><NA><NA>070 88957183<NA>701300대구광역시 동구 신서동 1144번지대구광역시 동구 첨단로 39 (신서동)701300한국산업단지공단20161005183642I2018-08-31 23:59:59.0<NA>356070.888605265801.054699법인무료
89무료직업소개소11_50_01_P3420000201534201351450000220150202<NA>1영업/정상20영업중<NA><NA><NA><NA>053 983 9100<NA><NA><NA>대구광역시 동구 공항로31길 9-6 (불로동)701807동구노인종합복지관20150202171037I2018-08-31 23:59:59.0<NA>347076.910736268084.84261법인무료
910무료직업소개소11_50_01_P3420000201634201351450001120160511<NA>1영업/정상20영업중<NA><NA><NA><NA>053 242 1331<NA><NA><NA>대구광역시 동구 아양로8길 10-1 (신암동)41207(사)한국여성인력개발원 동구여성문화공간 직업소개소20210713102440U2021-07-15 02:40:00.0<NA>346114.989173265743.010783법인무료
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)법인구분명구분명
9091무료직업소개소11_50_01_P3470000202034701811450001620200923<NA>1영업/정상20영업중<NA><NA><NA><NA>070 47407777<NA><NA><NA>대구광역시 달서구 문화회관길 165, 출판산업지원센터 406호 (장기동)42699사단법인 한국스타트업콘텐츠진흥협회 무료직업소개소20200924090959I2020-09-25 00:23:12.0<NA>337632.0261474.0법인무료
9192무료직업소개소11_50_01_P3470000200934701171450000620080131<NA>3폐업40폐업20190723<NA><NA><NA>053 356 0464<NA><NA>대구광역시 달서구 감삼동 105번지 1호<NA><NA>새터민 취업지원센터 무료직업소개소20190723102045U2019-07-25 02:40:00.0<NA>339717.035619262613.917492법인무료
9293무료직업소개소11_50_01_P3470000200534700751120000120051205<NA>3폐업40폐업20180502<NA><NA><NA><NA><NA><NA>경상북도 경산시 정평동 162번지 6 호 한솔1차101/1108호<NA><NA>대구달서시니어클럽무료직업소개소20180502141051I2018-08-31 23:59:59.0<NA>356001.144498261117.703694개인무료
9394무료직업소개소11_50_01_P3470000200634701001120000120061226<NA>3폐업40폐업20210119<NA><NA><NA><NA><NA><NA>대구광역시 달서구 송현동 1971번지 7호 20통 6반<NA><NA>밀알무료직업소개소20210511165426U2021-05-13 02:40:00.0<NA><NA><NA>법인무료
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9596무료직업소개소11_50_01_P3470000200934701171450001120090811<NA>3폐업40폐업20160428<NA><NA><NA><NA><NA>704310대구광역시 달서구 대곡동 7번지 4호<NA><NA>한국사랑무료직업소개소20160428101943I2018-08-31 23:59:59.0<NA>336405.598377257467.514119법인무료
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