Overview

Dataset statistics

Number of variables30
Number of observations94
Missing cells760
Missing cells (%)27.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory23.8 KiB
Average record size in memory259.4 B

Variable types

Numeric10
Categorical9
Unsupported6
Text4
DateTime1

Dataset

Description6270000_대구광역시_11_50_01_P_무료직업소개소_9월
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000091071&dataSetDetailId=DDI_0000091083&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스ID has constant value ""Constant
구분명 has constant value ""Constant
법인구분명 is highly imbalanced (54.5%)Imbalance
인허가취소일자 has 94 (100.0%) missing valuesMissing
폐업일자 has 51 (54.3%) missing valuesMissing
휴업시작일자 has 94 (100.0%) missing valuesMissing
휴업종료일자 has 94 (100.0%) missing valuesMissing
재개업일자 has 94 (100.0%) missing valuesMissing
소재지전화 has 21 (22.3%) missing valuesMissing
소재지면적 has 94 (100.0%) missing valuesMissing
소재지우편번호 has 59 (62.8%) missing valuesMissing
소재지전체주소 has 20 (21.3%) missing valuesMissing
도로명전체주소 has 6 (6.4%) missing valuesMissing
도로명우편번호 has 35 (37.2%) missing valuesMissing
업태구분명 has 94 (100.0%) missing valuesMissing
좌표정보(X) has 2 (2.1%) missing valuesMissing
좌표정보(Y) has 2 (2.1%) 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
소재지우편번호 has 1 (1.1%) zerosZeros

Reproduction

Analysis started2023-12-10 20:30:03.858499
Analysis finished2023-12-10 20:30:04.676999
Duration0.82 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct94
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean47.5
Minimum1
Maximum94
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size978.0 B
2023-12-11T05:30:04.823632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.65
Q124.25
median47.5
Q370.75
95-th percentile89.35
Maximum94
Range93
Interquartile range (IQR)46.5

Descriptive statistics

Standard deviation27.279418
Coefficient of variation (CV)0.57430354
Kurtosis-1.2
Mean47.5
Median Absolute Deviation (MAD)23.5
Skewness0
Sum4465
Variance744.16667
MonotonicityStrictly increasing
2023-12-11T05:30:05.085343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.1%
61 1
 
1.1%
70 1
 
1.1%
69 1
 
1.1%
68 1
 
1.1%
67 1
 
1.1%
66 1
 
1.1%
65 1
 
1.1%
64 1
 
1.1%
63 1
 
1.1%
Other values (84) 84
89.4%
ValueCountFrequency (%)
1 1
1.1%
2 1
1.1%
3 1
1.1%
4 1
1.1%
5 1
1.1%
6 1
1.1%
7 1
1.1%
8 1
1.1%
9 1
1.1%
10 1
1.1%
ValueCountFrequency (%)
94 1
1.1%
93 1
1.1%
92 1
1.1%
91 1
1.1%
90 1
1.1%
89 1
1.1%
88 1
1.1%
87 1
1.1%
86 1
1.1%
85 1
1.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size884.0 B
무료직업소개소
94 

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 94
100.0%

Length

2023-12-11T05:30:05.293185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:30:05.464762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
무료직업소개소 94
100.0%

개방서비스ID
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size884.0 B
11_50_01_P
94 

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 94
100.0%

Length

2023-12-11T05:30:05.637660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:30:05.798195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
11_50_01_p 94
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)8.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3441808.5
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size978.0 B
2023-12-11T05:30:05.942795image/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 deviation19508.078
Coefficient of variation (CV)0.0056679729
Kurtosis-1.1215555
Mean3441808.5
Median Absolute Deviation (MAD)20000
Skewness0.29067025
Sum3.2353 × 108
Variance3.8056509 × 108
MonotonicityIncreasing
2023-12-11T05:30:06.139012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3430000 22
23.4%
3420000 18
19.1%
3470000 14
14.9%
3450000 13
13.8%
3440000 10
10.6%
3460000 10
10.6%
3410000 4
 
4.3%
3480000 3
 
3.2%
ValueCountFrequency (%)
3410000 4
 
4.3%
3420000 18
19.1%
3430000 22
23.4%
3440000 10
10.6%
3450000 13
13.8%
3460000 10
10.6%
3470000 14
14.9%
3480000 3
 
3.2%
ValueCountFrequency (%)
3480000 3
 
3.2%
3470000 14
14.9%
3460000 10
10.6%
3450000 13
13.8%
3440000 10
10.6%
3430000 22
23.4%
3420000 18
19.1%
3410000 4
 
4.3%

관리번호
Real number (ℝ)

UNIQUE 

Distinct94
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.011525 × 1018
Minimum1.991347 × 1018
Maximum2.021346 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size978.0 B
2023-12-11T05:30:06.460352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.991347 × 1018
5-th percentile2.0009927 × 1018
Q12.0085915 × 1018
median2.012342 × 1018
Q32.016344 × 1018
95-th percentile2.020345 × 1018
Maximum2.021346 × 1018
Range2.999901 × 1016
Interquartile range (IQR)7.7525033 × 1015

Descriptive statistics

Standard deviation6.2560451 × 1015
Coefficient of variation (CV)0.0031101005
Kurtosis1.1110409
Mean2.011525 × 1018
Median Absolute Deviation (MAD)4.0015016 × 1015
Skewness-0.86990337
Sum4.6159132 × 1018
Variance3.91381 × 1031
MonotonicityNot monotonic
2023-12-11T05:30:06.791137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2019341013014500007 1
 
1.1%
2007345009911200001 1
 
1.1%
2007346008114500008 1
 
1.1%
2015346015414500004 1
 
1.1%
2016346016014500005 1
 
1.1%
2020345016014500010 1
 
1.1%
2013345009914500005 1
 
1.1%
2014345009914500002 1
 
1.1%
2015345014214500014 1
 
1.1%
2018345015514500008 1
 
1.1%
Other values (84) 84
89.4%
ValueCountFrequency (%)
1991347007511200001 1
1.1%
1993343001011200001 1
1.1%
1993345001211200001 1
1.1%
1998342005811200001 1
1.1%
2000344001411200001 1
1.1%
2001342005811200001 1
1.1%
2001342005811200002 1
1.1%
2002343001011200001 1
1.1%
2002347011714500002 1
1.1%
2003347011714500001 1
1.1%
ValueCountFrequency (%)
2021346017714500005 1
1.1%
2021343009514500003 1
1.1%
2021342016214500001 1
1.1%
2020347018114500016 1
1.1%
2020345016014500012 1
1.1%
2020345016014500010 1
1.1%
2019346016214500007 1
1.1%
2019345016014500003 1
1.1%
2019343009514500003 1
1.1%
2019341013014500007 1
1.1%

인허가일자
Real number (ℝ)

Distinct92
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20108794
Minimum19910809
Maximum20210427
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size978.0 B
2023-12-11T05:30:07.161127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19910809
5-th percentile19993643
Q120080255
median20110328
Q320150554
95-th percentile20200719
Maximum20210427
Range299618
Interquartile range (IQR)70298.75

Descriptive statistics

Standard deviation61389.603
Coefficient of variation (CV)0.0030528734
Kurtosis1.3156954
Mean20108794
Median Absolute Deviation (MAD)39834.5
Skewness-0.85188589
Sum1.8902266 × 109
Variance3.7686833 × 109
MonotonicityNot monotonic
2023-12-11T05:30:07.397361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20140326 2
 
2.1%
20151231 2
 
2.1%
20190724 1
 
1.1%
20091217 1
 
1.1%
20070313 1
 
1.1%
20071130 1
 
1.1%
20150408 1
 
1.1%
20101209 1
 
1.1%
20200718 1
 
1.1%
20131216 1
 
1.1%
Other values (82) 82
87.2%
ValueCountFrequency (%)
19910809 1
1.1%
19930803 1
1.1%
19931201 1
1.1%
19980409 1
1.1%
19980529 1
1.1%
20000705 1
1.1%
20010618 1
1.1%
20010710 1
1.1%
20010924 1
1.1%
20050115 1
1.1%
ValueCountFrequency (%)
20210427 1
1.1%
20210415 1
1.1%
20210119 1
1.1%
20200923 1
1.1%
20200721 1
1.1%
20200718 1
1.1%
20191127 1
1.1%
20190724 1
1.1%
20190222 1
1.1%
20190125 1
1.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing94
Missing (%)100.0%
Memory size978.0 B

영업상태구분코드
Categorical

Distinct3
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size884.0 B
1
47 
3
46 
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.1%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row3

Common Values

ValueCountFrequency (%)
1 47
50.0%
3 46
48.9%
4 1
 
1.1%

Length

2023-12-11T05:30:07.637412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:30:07.822902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 47
50.0%
3 46
48.9%
4 1
 
1.1%

영업상태명
Categorical

Distinct3
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size884.0 B
영업/정상
47 
폐업
46 
취소/말소/만료/정지/중지
 
1

Length

Max length14
Median length9.5
Mean length3.6276596
Min length2

Unique

Unique1 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 47
50.0%
폐업 46
48.9%
취소/말소/만료/정지/중지 1
 
1.1%

Length

2023-12-11T05:30:08.006015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:30:08.193199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 47
50.0%
폐업 46
48.9%
취소/말소/만료/정지/중지 1
 
1.1%

상세영업상태코드
Categorical

Distinct3
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size884.0 B
20
47 
40
46 
70
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique1 ?
Unique (%)1.1%

Sample

1st row20
2nd row20
3rd row20
4th row20
5th row40

Common Values

ValueCountFrequency (%)
20 47
50.0%
40 46
48.9%
70 1
 
1.1%

Length

2023-12-11T05:30:08.356638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:30:08.504493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20 47
50.0%
40 46
48.9%
70 1
 
1.1%

상세영업상태명
Categorical

Distinct3
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size884.0 B
영업중
47 
폐업
46 
등록취소
 
1

Length

Max length4
Median length3.5
Mean length2.5212766
Min length2

Unique

Unique1 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 47
50.0%
폐업 46
48.9%
등록취소 1
 
1.1%

Length

2023-12-11T05:30:08.679482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:30:08.850810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 47
50.0%
폐업 46
48.9%
등록취소 1
 
1.1%

폐업일자
Real number (ℝ)

MISSING 

Distinct42
Distinct (%)97.7%
Missing51
Missing (%)54.3%
Infinite0
Infinite (%)0.0%
Mean20161721
Minimum20090112
Maximum20210729
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size978.0 B
2023-12-11T05:30:09.036469image/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
2023-12-11T05:30:09.268655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
20200325 2
 
2.1%
20181220 1
 
1.1%
20130319 1
 
1.1%
20091202 1
 
1.1%
20131125 1
 
1.1%
20130115 1
 
1.1%
20140206 1
 
1.1%
20120614 1
 
1.1%
20180130 1
 
1.1%
20180126 1
 
1.1%
Other values (32) 32
34.0%
(Missing) 51
54.3%
ValueCountFrequency (%)
20090112 1
1.1%
20091202 1
1.1%
20100315 1
1.1%
20100401 1
1.1%
20110706 1
1.1%
20111219 1
1.1%
20120222 1
1.1%
20120612 1
1.1%
20120614 1
1.1%
20130115 1
1.1%
ValueCountFrequency (%)
20210729 1
1.1%
20210528 1
1.1%
20210521 1
1.1%
20210420 1
1.1%
20210119 1
1.1%
20201223 1
1.1%
20200709 1
1.1%
20200610 1
1.1%
20200325 2
2.1%
20200102 1
1.1%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing94
Missing (%)100.0%
Memory size978.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing94
Missing (%)100.0%
Memory size978.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing94
Missing (%)100.0%
Memory size978.0 B

소재지전화
Text

MISSING 

Distinct72
Distinct (%)98.6%
Missing21
Missing (%)22.3%
Memory size884.0 B
2023-12-11T05:30:09.680166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.191781
Min length7

Characters and Unicode

Total characters817
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

Unique71 ?
Unique (%)97.3%

Sample

1st row053 356 0463
2nd row053 4221901
3rd row0532531910
4th row053 424 0793
5th row053 939 7742
ValueCountFrequency (%)
053 54
31.0%
356 3
 
1.7%
527 2
 
1.1%
8110127 2
 
1.1%
740 2
 
1.1%
1331 2
 
1.1%
767 2
 
1.1%
070 2
 
1.1%
3593730 1
 
0.6%
4221003 1
 
0.6%
Other values (103) 103
59.2%
2023-12-11T05:30:10.307437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 138
16.9%
5 135
16.5%
3 116
14.2%
110
13.5%
1 61
7.5%
7 50
 
6.1%
2 49
 
6.0%
9 43
 
5.3%
4 41
 
5.0%
8 38
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 707
86.5%
Space Separator 110
 
13.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 138
19.5%
5 135
19.1%
3 116
16.4%
1 61
8.6%
7 50
 
7.1%
2 49
 
6.9%
9 43
 
6.1%
4 41
 
5.8%
8 38
 
5.4%
6 36
 
5.1%
Space Separator
ValueCountFrequency (%)
110
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 817
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 138
16.9%
5 135
16.5%
3 116
14.2%
110
13.5%
1 61
7.5%
7 50
 
6.1%
2 49
 
6.0%
9 43
 
5.3%
4 41
 
5.0%
8 38
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 817
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 138
16.9%
5 135
16.5%
3 116
14.2%
110
13.5%
1 61
7.5%
7 50
 
6.1%
2 49
 
6.0%
9 43
 
5.3%
4 41
 
5.0%
8 38
 
4.7%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing94
Missing (%)100.0%
Memory size978.0 B

소재지우편번호
Real number (ℝ)

MISSING  ZEROS 

Distinct32
Distinct (%)91.4%
Missing59
Missing (%)62.8%
Infinite0
Infinite (%)0.0%
Mean683601.83
Minimum0
Maximum706847
Zeros1
Zeros (%)1.1%
Negative0
Negative (%)0.0%
Memory size978.0 B
2023-12-11T05:30:10.537843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile700950.6
Q1701838.5
median703064
Q3705373.5
95-th percentile706373.2
Maximum706847
Range706847
Interquartile range (IQR)3535

Descriptive statistics

Standard deviation118961.85
Coefficient of variation (CV)0.17402214
Kurtosis34.982632
Mean683601.83
Median Absolute Deviation (MAD)1334
Skewness-5.9139382
Sum23926064
Variance1.4151923 × 1010
MonotonicityNot monotonic
2023-12-11T05:30:10.778306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
703846 2
 
2.1%
702852 2
 
2.1%
701730 2
 
2.1%
704833 1
 
1.1%
704310 1
 
1.1%
706824 1
 
1.1%
704946 1
 
1.1%
701828 1
 
1.1%
706847 1
 
1.1%
706180 1
 
1.1%
Other values (22) 22
 
23.4%
(Missing) 59
62.8%
ValueCountFrequency (%)
0 1
1.1%
700812 1
1.1%
701010 1
1.1%
701300 1
1.1%
701730 2
2.1%
701810 1
1.1%
701824 1
1.1%
701828 1
1.1%
701849 1
1.1%
702081 1
1.1%
ValueCountFrequency (%)
706847 1
1.1%
706824 1
1.1%
706180 1
1.1%
706060 1
1.1%
706032 1
1.1%
705832 1
1.1%
705818 1
1.1%
705817 1
1.1%
705801 1
1.1%
704946 1
1.1%

소재지전체주소
Text

MISSING 

Distinct72
Distinct (%)97.3%
Missing20
Missing (%)21.3%
Memory size884.0 B
2023-12-11T05:30:11.285915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length43
Mean length25.608108
Min length19

Characters and Unicode

Total characters1895
Distinct characters127
Distinct categories6 ?
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 신천3동 95번지 벤처센터빌딩
5th row대구광역시 동구 신천동 107번지 4호 12층
ValueCountFrequency (%)
대구광역시 73
 
17.5%
서구 16
 
3.8%
수성구 14
 
3.4%
동구 12
 
2.9%
남구 10
 
2.4%
달서구 9
 
2.2%
1호 8
 
1.9%
6호 7
 
1.7%
북구 6
 
1.4%
7호 5
 
1.2%
Other values (196) 256
61.5%
2023-12-11T05:30:11.875281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
350
18.5%
구 144
 
7.6%
1 97
 
5.1%
동 87
 
4.6%
대 85
 
4.5%
시 75
 
4.0%
지 74
 
3.9%
광 73
 
3.9%
역 73
 
3.9%
번 71
 
3.7%
Other values (117) 766
40.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1118
59.0%
Decimal Number 422
 
22.3%
Space Separator 350
 
18.5%
Close Punctuation 2
 
0.1%
Open Punctuation 2
 
0.1%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 144
12.9%
동 87
 
7.8%
대 85
 
7.6%
시 75
 
6.7%
지 74
 
6.6%
광 73
 
6.5%
역 73
 
6.5%
번 71
 
6.4%
호 68
 
6.1%
서 26
 
2.3%
Other values (103) 342
30.6%
Decimal Number
ValueCountFrequency (%)
1 97
23.0%
2 54
12.8%
3 42
10.0%
5 41
9.7%
4 37
 
8.8%
6 37
 
8.8%
0 37
 
8.8%
7 31
 
7.3%
8 25
 
5.9%
9 21
 
5.0%
Space Separator
ValueCountFrequency (%)
350
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1118
59.0%
Common 777
41.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 144
12.9%
동 87
 
7.8%
대 85
 
7.6%
시 75
 
6.7%
지 74
 
6.6%
광 73
 
6.5%
역 73
 
6.5%
번 71
 
6.4%
호 68
 
6.1%
서 26
 
2.3%
Other values (103) 342
30.6%
Common
ValueCountFrequency (%)
350
45.0%
1 97
 
12.5%
2 54
 
6.9%
3 42
 
5.4%
5 41
 
5.3%
4 37
 
4.8%
6 37
 
4.8%
0 37
 
4.8%
7 31
 
4.0%
8 25
 
3.2%
Other values (4) 26
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1118
59.0%
ASCII 777
41.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
350
45.0%
1 97
 
12.5%
2 54
 
6.9%
3 42
 
5.4%
5 41
 
5.3%
4 37
 
4.8%
6 37
 
4.8%
0 37
 
4.8%
7 31
 
4.0%
8 25
 
3.2%
Other values (4) 26
 
3.3%
Hangul
ValueCountFrequency (%)
구 144
12.9%
동 87
 
7.8%
대 85
 
7.6%
시 75
 
6.7%
지 74
 
6.6%
광 73
 
6.5%
역 73
 
6.5%
번 71
 
6.4%
호 68
 
6.1%
서 26
 
2.3%
Other values (103) 342
30.6%

도로명전체주소
Text

MISSING 

Distinct86
Distinct (%)97.7%
Missing6
Missing (%)6.4%
Memory size884.0 B
2023-12-11T05:30:12.344204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length41
Mean length29.5
Min length21

Characters and Unicode

Total characters2596
Distinct characters194
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

Unique84 ?
Unique (%)95.5%

Sample

1st row대구광역시 중구 국채보상로 554-1 (종로1가)
2nd row대구광역시 중구 공평로4길 24-7 (삼덕동2가)
3rd row대구광역시 중구 달구벌대로 1960, 103동동 지하1층 (남산동, 남산휴먼시아1단지아파트)
4th row대구광역시 중구 대봉로 243 (대봉동)
5th row대구광역시 동구 동대구로 475 (신천동, 대구테크노파크)
ValueCountFrequency (%)
대구광역시 87
 
17.1%
서구 17
 
3.3%
동구 17
 
3.3%
수성구 15
 
2.9%
북구 11
 
2.2%
남구 11
 
2.2%
달서구 9
 
1.8%
평리동 7
 
1.4%
4층 7
 
1.4%
국채보상로 6
 
1.2%
Other values (233) 322
63.3%
2023-12-11T05:30:12.970612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
421
 
16.2%
구 198
 
7.6%
대 131
 
5.0%
동 125
 
4.8%
시 93
 
3.6%
1 89
 
3.4%
역 88
 
3.4%
광 88
 
3.4%
로 87
 
3.4%
( 84
 
3.2%
Other values (184) 1192
45.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1541
59.4%
Space Separator 421
 
16.2%
Decimal Number 393
 
15.1%
Open Punctuation 84
 
3.2%
Close Punctuation 84
 
3.2%
Other Punctuation 55
 
2.1%
Dash Punctuation 16
 
0.6%
Uppercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 198
 
12.8%
대 131
 
8.5%
동 125
 
8.1%
시 93
 
6.0%
역 88
 
5.7%
광 88
 
5.7%
로 87
 
5.6%
성 38
 
2.5%
서 37
 
2.4%
길 36
 
2.3%
Other values (167) 620
40.2%
Decimal Number
ValueCountFrequency (%)
1 89
22.6%
2 55
14.0%
3 46
11.7%
4 42
10.7%
6 38
9.7%
0 36
9.2%
7 31
 
7.9%
5 24
 
6.1%
9 17
 
4.3%
8 15
 
3.8%
Uppercase Letter
ValueCountFrequency (%)
S 1
50.0%
W 1
50.0%
Space Separator
ValueCountFrequency (%)
421
100.0%
Open Punctuation
ValueCountFrequency (%)
( 84
100.0%
Close Punctuation
ValueCountFrequency (%)
) 84
100.0%
Other Punctuation
ValueCountFrequency (%)
, 55
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1541
59.4%
Common 1053
40.6%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 198
 
12.8%
대 131
 
8.5%
동 125
 
8.1%
시 93
 
6.0%
역 88
 
5.7%
광 88
 
5.7%
로 87
 
5.6%
성 38
 
2.5%
서 37
 
2.4%
길 36
 
2.3%
Other values (167) 620
40.2%
Common
ValueCountFrequency (%)
421
40.0%
1 89
 
8.5%
( 84
 
8.0%
) 84
 
8.0%
, 55
 
5.2%
2 55
 
5.2%
3 46
 
4.4%
4 42
 
4.0%
6 38
 
3.6%
0 36
 
3.4%
Other values (5) 103
 
9.8%
Latin
ValueCountFrequency (%)
S 1
50.0%
W 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1541
59.4%
ASCII 1055
40.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
421
39.9%
1 89
 
8.4%
( 84
 
8.0%
) 84
 
8.0%
, 55
 
5.2%
2 55
 
5.2%
3 46
 
4.4%
4 42
 
4.0%
6 38
 
3.6%
0 36
 
3.4%
Other values (7) 105
 
10.0%
Hangul
ValueCountFrequency (%)
구 198
 
12.8%
대 131
 
8.5%
동 125
 
8.1%
시 93
 
6.0%
역 88
 
5.7%
광 88
 
5.7%
로 87
 
5.6%
성 38
 
2.5%
서 37
 
2.4%
길 36
 
2.3%
Other values (167) 620
40.2%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct57
Distinct (%)96.6%
Missing35
Missing (%)37.2%
Infinite0
Infinite (%)0.0%
Mean299929.34
Minimum38453
Maximum706827
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size978.0 B
2023-12-11T05:30:13.189372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum38453
5-th percentile41077
Q141769.5
median42688
Q3701974.5
95-th percentile705929.7
Maximum706827
Range668374
Interquartile range (IQR)660205

Descriptive statistics

Standard deviation325600.73
Coefficient of variation (CV)1.0855915
Kurtosis-1.8487984
Mean299929.34
Median Absolute Deviation (MAD)1428
Skewness0.46368344
Sum17695831
Variance1.0601583 × 1011
MonotonicityNot monotonic
2023-12-11T05:30:13.391693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
701730 2
 
2.1%
42429 2
 
2.1%
706824 1
 
1.1%
41589 1
 
1.1%
41580 1
 
1.1%
41534 1
 
1.1%
702100 1
 
1.1%
702837 1
 
1.1%
41500 1
 
1.1%
42117 1
 
1.1%
Other values (47) 47
50.0%
(Missing) 35
37.2%
ValueCountFrequency (%)
38453 1
1.1%
41061 1
1.1%
41068 1
1.1%
41078 1
1.1%
41198 1
1.1%
41207 1
1.1%
41260 1
1.1%
41500 1
1.1%
41504 1
1.1%
41534 1
1.1%
ValueCountFrequency (%)
706827 1
1.1%
706824 1
1.1%
706764 1
1.1%
705837 1
1.1%
705832 1
1.1%
705801 1
1.1%
704946 1
1.1%
704923 1
1.1%
704901 1
1.1%
704833 1
1.1%

사업장명
Text

Distinct91
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Memory size884.0 B
2023-12-11T05:30:13.746594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length22
Mean length14.989362
Min length4

Characters and Unicode

Total characters1409
Distinct characters186
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

Unique88 ?
Unique (%)93.6%

Sample

1st row(사)더나은세상을위한공감
2nd row대구중구시니어클럽
3rd row대구광역시장애인재활협회
4th row대구경북인쇄정보산업협동조합
5th row대구테크노파크 경북대학교센터
ValueCountFrequency (%)
무료직업소개소 19
 
13.6%
사단법인 3
 
2.1%
대구경북지역 2
 
1.4%
재)대구직업전문학교 2
 
1.4%
한국녹색환경협회 2
 
1.4%
재)대구경북디자인센터 2
 
1.4%
토목건축노동조합 2
 
1.4%
대구취업지원센터 2
 
1.4%
대구테크노파크 2
 
1.4%
대구희망리본본부 2
 
1.4%
Other values (102) 102
72.9%
2023-12-11T05:30:14.346246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
소 95
 
6.7%
업 74
 
5.3%
구 71
 
5.0%
대 58
 
4.1%
개 49
 
3.5%
46
 
3.3%
직 46
 
3.3%
무 40
 
2.8%
료 38
 
2.7%
지 36
 
2.6%
Other values (176) 856
60.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1306
92.7%
Space Separator 46
 
3.3%
Close Punctuation 24
 
1.7%
Open Punctuation 22
 
1.6%
Uppercase Letter 9
 
0.6%
Decimal Number 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
소 95
 
7.3%
업 74
 
5.7%
구 71
 
5.4%
대 58
 
4.4%
개 49
 
3.8%
직 46
 
3.5%
무 40
 
3.1%
료 38
 
2.9%
지 36
 
2.8%
터 30
 
2.3%
Other values (168) 769
58.9%
Uppercase Letter
ValueCountFrequency (%)
H 3
33.3%
R 3
33.3%
D 3
33.3%
Decimal Number
ValueCountFrequency (%)
1 1
50.0%
3 1
50.0%
Space Separator
ValueCountFrequency (%)
46
100.0%
Close Punctuation
ValueCountFrequency (%)
) 24
100.0%
Open Punctuation
ValueCountFrequency (%)
( 22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1306
92.7%
Common 94
 
6.7%
Latin 9
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
소 95
 
7.3%
업 74
 
5.7%
구 71
 
5.4%
대 58
 
4.4%
개 49
 
3.8%
직 46
 
3.5%
무 40
 
3.1%
료 38
 
2.9%
지 36
 
2.8%
터 30
 
2.3%
Other values (168) 769
58.9%
Common
ValueCountFrequency (%)
46
48.9%
) 24
25.5%
( 22
23.4%
1 1
 
1.1%
3 1
 
1.1%
Latin
ValueCountFrequency (%)
H 3
33.3%
R 3
33.3%
D 3
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1306
92.7%
ASCII 103
 
7.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
소 95
 
7.3%
업 74
 
5.7%
구 71
 
5.4%
대 58
 
4.4%
개 49
 
3.8%
직 46
 
3.5%
무 40
 
3.1%
료 38
 
2.9%
지 36
 
2.8%
터 30
 
2.3%
Other values (168) 769
58.9%
ASCII
ValueCountFrequency (%)
46
44.7%
) 24
23.3%
( 22
21.4%
H 3
 
2.9%
R 3
 
2.9%
D 3
 
2.9%
1 1
 
1.0%
3 1
 
1.0%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct94
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0170152 × 1013
Minimum2.0041202 × 1013
Maximum2.0210729 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size978.0 B
2023-12-11T05:30:14.937746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0041202 × 1013
5-th percentile2.0096648 × 1013
Q12.0150208 × 1013
median2.018117 × 1013
Q32.0200625 × 1013
95-th percentile2.0210515 × 1013
Maximum2.0210729 × 1013
Range1.69527 × 1011
Interquartile range (IQR)5.0416733 × 1010

Descriptive statistics

Standard deviation4.0142384 × 1010
Coefficient of variation (CV)0.0019901875
Kurtosis1.0325128
Mean2.0170152 × 1013
Median Absolute Deviation (MAD)2.0264927 × 1010
Skewness-1.2433973
Sum1.8959943 × 1015
Variance1.611411 × 1021
MonotonicityNot monotonic
2023-12-11T05:30:15.190053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20190826100450 1
 
1.1%
20190524180552 1
 
1.1%
20180517115302 1
 
1.1%
20210420171855 1
 
1.1%
20180129202952 1
 
1.1%
20200718055855 1
 
1.1%
20190107180800 1
 
1.1%
20180328083616 1
 
1.1%
20160204101454 1
 
1.1%
20210407205337 1
 
1.1%
Other values (84) 84
89.4%
ValueCountFrequency (%)
20041202160424 1
1.1%
20060418113940 1
1.1%
20060926104055 1
1.1%
20061012152922 1
1.1%
20090203112122 1
1.1%
20100118102143 1
1.1%
20100315134850 1
1.1%
20100402085755 1
1.1%
20110706105938 1
1.1%
20111219171558 1
1.1%
ValueCountFrequency (%)
20210729161553 1
1.1%
20210713102440 1
1.1%
20210622171417 1
1.1%
20210528102607 1
1.1%
20210521132414 1
1.1%
20210512193134 1
1.1%
20210511165426 1
1.1%
20210427163920 1
1.1%
20210427092441 1
1.1%
20210420171855 1
1.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size884.0 B
I
50 
U
44 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 50
53.2%
U 44
46.8%

Length

2023-12-11T05:30:15.435175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:30:15.571514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 50
53.2%
u 44
46.8%

데이터갱신일자
Date

Distinct47
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Memory size884.0 B
Minimum2018-08-31 23:59:59
Maximum2021-07-31 02:40:00
2023-12-11T05:30:15.729367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T05:30:15.913342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing94
Missing (%)100.0%
Memory size978.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct83
Distinct (%)90.2%
Missing2
Missing (%)2.1%
Infinite0
Infinite (%)0.0%
Mean343974.35
Minimum331235.15
Maximum366747.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size978.0 B
2023-12-11T05:30:16.083412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum331235.15
5-th percentile335782.83
Q1340178.58
median344046.26
Q3346678.07
95-th percentile355491.12
Maximum366747.7
Range35512.557
Interquartile range (IQR)6499.4876

Descriptive statistics

Standard deviation5739.0384
Coefficient of variation (CV)0.016684495
Kurtosis2.2626833
Mean343974.35
Median Absolute Deviation (MAD)3087.6499
Skewness0.85250982
Sum31645640
Variance32936562
MonotonicityNot monotonic
2023-12-11T05:30:16.284742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
337705.232586 2
 
2.1%
339384.623178 2
 
2.1%
340142.495318 2
 
2.1%
336819.52894 2
 
2.1%
342619.210678 2
 
2.1%
344332.554299 2
 
2.1%
346678.067969 2
 
2.1%
346672.854539 2
 
2.1%
344046.261885 2
 
2.1%
346888.830243 1
 
1.1%
Other values (73) 73
77.7%
(Missing) 2
 
2.1%
ValueCountFrequency (%)
331235.147561 1
1.1%
332592.498861 1
1.1%
333862.343439 1
1.1%
334303.395884 1
1.1%
335471.540882 1
1.1%
336037.521032 1
1.1%
336405.598377 1
1.1%
336819.52894 2
2.1%
337632.0 1
1.1%
337705.232586 2
2.1%
ValueCountFrequency (%)
366747.704560687 1
1.1%
356677.0 1
1.1%
356078.0 1
1.1%
356070.888605 1
1.1%
356001.144497932 1
1.1%
355073.826078 1
1.1%
354745.585117 1
1.1%
354504.881098 1
1.1%
350653.343026 1
1.1%
349673.153843 1
1.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct83
Distinct (%)90.2%
Missing2
Missing (%)2.1%
Infinite0
Infinite (%)0.0%
Mean263660.01
Minimum248727.67
Maximum272229.95
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size978.0 B
2023-12-11T05:30:16.527598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum248727.67
5-th percentile259409.22
Q1262225.84
median263670.83
Q3265280.52
95-th percentile268072.28
Maximum272229.95
Range23502.28
Interquartile range (IQR)3054.6755

Descriptive statistics

Standard deviation3046.8481
Coefficient of variation (CV)0.011555974
Kurtosis5.8655297
Mean263660.01
Median Absolute Deviation (MAD)1555.5965
Skewness-1.1307555
Sum24256721
Variance9283283.5
MonotonicityNot monotonic
2023-12-11T05:30:16.754281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
262521.308163 2
 
2.1%
263518.126678 2
 
2.1%
263121.400886 2
 
2.1%
259409.219302 2
 
2.1%
266252.707106 2
 
2.1%
265280.518596 2
 
2.1%
264683.827139 2
 
2.1%
264843.003409 2
 
2.1%
261742.707245 2
 
2.1%
265204.662971 1
 
1.1%
Other values (73) 73
77.7%
(Missing) 2
 
2.1%
ValueCountFrequency (%)
248727.671723 1
1.1%
256711.036921 1
1.1%
257467.514119 1
1.1%
258325.049675 1
1.1%
259409.219302 2
2.1%
259688.94559 1
1.1%
260145.429824 1
1.1%
260166.238089 1
1.1%
260807.020154 1
1.1%
261117.703694427 1
1.1%
ValueCountFrequency (%)
272229.951945 1
1.1%
269105.367036386 1
1.1%
269056.775908 1
1.1%
268745.606545 1
1.1%
268084.84261 1
1.1%
268062.0 1
1.1%
268051.856327 1
1.1%
267685.117048 1
1.1%
267618.377001 1
1.1%
266853.800698 1
1.1%

법인구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size884.0 B
법인
85 
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 85
90.4%
개인 9
 
9.6%

Length

2023-12-11T05:30:16.947712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:30:17.090219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
법인 85
90.4%
개인 9
 
9.6%

구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size884.0 B
무료
94 

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 94
100.0%

Length

2023-12-11T05:30:17.261233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:30:17.404691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
무료 94
100.0%

Sample

번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(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_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
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_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
45무료직업소개소11_50_01_P3420000201334201111450001020130802<NA>3폐업40폐업20140901<NA><NA><NA>053 939 7742<NA>701730대구광역시 동구 신천3동 95번지 벤처센터빌딩대구광역시 동구 동대구로 475 (신천동, 대구테크노파크)701730대구테크노파크 경북대학교센터20140901162913I2018-08-31 23:59:59.0<NA>346672.854539264843.003409법인무료
56무료직업소개소11_50_01_P3420000201234201111450002420120608<NA>3폐업40폐업20160729<NA><NA><NA>053 740 0041<NA>701824대구광역시 동구 신천동 107번지 4호 12층대구광역시 동구 동대구로 461, 12층 (신천동)701824(재)대구경북디자인센터20160729160210I2018-08-31 23:59:59.0<NA>346678.067969264683.827139법인무료
67무료직업소개소11_50_01_P3420000201234201111450001920120418<NA>3폐업40폐업20181220<NA><NA><NA>053 955 1953<NA><NA>대구광역시 동구 방촌동 871번지 25호대구광역시 동구 동촌로 265-1, 5층 (방촌동, 난빌딩)701801동구희망일자리지원센터20181227091652U2018-12-29 02:40:00.0<NA>350653.343026265751.633029법인무료
78무료직업소개소11_50_01_P3420000201234201111450000720120202<NA>3폐업40폐업20180521<NA><NA><NA>053 961 2202<NA>701849대구광역시 동구 동호동 358번지 대구가톨릭대학교부설유치원 4층대구광역시 동구 안심로 300 (동호동, 대구가톨릭대학교부설유치원 4층)701849동구다문화가족지원센터20180521105325I2018-08-31 23:59:59.0<NA>355073.826078264205.263746법인무료
89무료직업소개소11_50_01_P3420000201034200901450000620100331<NA>3폐업40폐업20140114<NA><NA><NA>053 959 2277<NA>701810대구광역시 동구 신암동 1553번지 대동빌딩 4층대구광역시 동구 아양로 251, 4층 (신암동, 대동빌딩)701810대구동구시니어클럽20140114151529I2018-08-31 23:59:59.0<NA>348025.822015266511.759073개인무료
910무료직업소개소11_50_01_P3420000200534200581120000120051123<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>대구광역시 수성구 만촌동 974번지 2호 12통 2반대구광역시 수성구 국채보상로 1070 (만촌동)<NA>조달인력20060418113940I2018-08-31 23:59:59.0<NA>348643.447797264384.969021개인무료
번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)법인구분명구분명
8485무료직업소개소11_50_01_P3470000201534701171450002020151224<NA>1영업/정상20영업중<NA><NA><NA><NA>053 721 6897<NA><NA>대구광역시 달서구 월암동 1111번지대구광역시 달서구 성서4차첨단로 122-11, 3층 1호 (월암동)42724(사)벤처기업협회대구경북지회20200117195228U2020-01-19 02:40:00.0<NA>336819.52894259409.219302법인무료
8586무료직업소개소11_50_01_P3470000201534701171450000920150602<NA>1영업/정상20영업중<NA><NA><NA><NA><NA><NA><NA><NA>대구광역시 달서구 성서공단북로 132 (갈산동)704901한국노총 대구지역본부 무료직업소개소20150602094915I2018-08-31 23:59:59.0<NA>334303.395884261431.686003법인무료
8687무료직업소개소11_50_01_P3470000201234701171450001420120711<NA>1영업/정상20영업중<NA><NA><NA><NA>053 745 4700<NA>704833대구광역시 달서구 월암동 1111번지 (1층)대구광역시 달서구 성서4차첨단로 122-11, 1층 (월암동)704833(사)중소기업기술혁신협회 대구경북지회 무료직업소개소20180423151203I2018-08-31 23:59:59.0<NA>336819.52894259409.219302법인무료
8788무료직업소개소11_50_01_P3470000201234701171450001020120430<NA>1영업/정상20영업중<NA><NA><NA><NA>053 580 5508<NA>704946대구광역시 달서구 호산동 1번지 11호 (1층)대구광역시 달서구 달구벌대로 1053, 1층 (호산동)704946대구테크노파크 계명대학교센터 무료직업소개소20200117174643U2020-01-19 02:40:00.0<NA>333862.343439262427.427848법인무료
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