Overview

Dataset statistics

Number of variables30
Number of observations88
Missing cells709
Missing cells (%)26.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory22.3 KiB
Average record size in memory259.5 B

Variable types

Numeric10
Categorical9
Unsupported6
Text4
DateTime1

Dataset

Description6270000_대구광역시_11_50_01_P_무료직업소개소_6월
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000085580&dataSetDetailId=DDI_0000085579&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스ID has constant value ""Constant
구분명 has constant value ""Constant
법인구분명 is highly imbalanced (52.4%)Imbalance
인허가취소일자 has 88 (100.0%) missing valuesMissing
폐업일자 has 51 (58.0%) missing valuesMissing
휴업시작일자 has 88 (100.0%) missing valuesMissing
휴업종료일자 has 88 (100.0%) missing valuesMissing
재개업일자 has 88 (100.0%) missing valuesMissing
소재지전화 has 20 (22.7%) missing valuesMissing
소재지면적 has 88 (100.0%) missing valuesMissing
소재지우편번호 has 49 (55.7%) missing valuesMissing
소재지전체주소 has 14 (15.9%) missing valuesMissing
도로명전체주소 has 7 (8.0%) missing valuesMissing
도로명우편번호 has 36 (40.9%) missing valuesMissing
업태구분명 has 88 (100.0%) missing valuesMissing
좌표정보(X) has 2 (2.3%) missing valuesMissing
좌표정보(Y) has 2 (2.3%) 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 19:22:15.825784
Analysis finished2023-12-10 19:22:16.532200
Duration0.71 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct88
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean44.5
Minimum1
Maximum88
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size924.0 B
2023-12-11T04:22:16.630694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.35
Q122.75
median44.5
Q366.25
95-th percentile83.65
Maximum88
Range87
Interquartile range (IQR)43.5

Descriptive statistics

Standard deviation25.547342
Coefficient of variation (CV)0.57409757
Kurtosis-1.2
Mean44.5
Median Absolute Deviation (MAD)22
Skewness0
Sum3916
Variance652.66667
MonotonicityStrictly increasing
2023-12-11T04:22:16.775779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.1%
46 1
 
1.1%
66 1
 
1.1%
65 1
 
1.1%
64 1
 
1.1%
63 1
 
1.1%
62 1
 
1.1%
61 1
 
1.1%
60 1
 
1.1%
59 1
 
1.1%
Other values (78) 78
88.6%
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 (%)
88 1
1.1%
87 1
1.1%
86 1
1.1%
85 1
1.1%
84 1
1.1%
83 1
1.1%
82 1
1.1%
81 1
1.1%
80 1
1.1%
79 1
1.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size836.0 B
무료직업소개소
88 

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 88
100.0%

Length

2023-12-11T04:22:16.958676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:22:17.095717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
무료직업소개소 88
100.0%

개방서비스ID
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size836.0 B
11_50_01_P
88 

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 88
100.0%

Length

2023-12-11T04:22:17.242544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:22:17.386795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
11_50_01_p 88
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3441477.3
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size924.0 B
2023-12-11T04:22:17.503861image/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 deviation19625.211
Coefficient of variation (CV)0.0057025543
Kurtosis-1.0941698
Mean3441477.3
Median Absolute Deviation (MAD)20000
Skewness0.33021616
Sum3.0285 × 108
Variance3.851489 × 108
MonotonicityIncreasing
2023-12-11T04:22:17.699297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3430000 21
23.9%
3420000 17
19.3%
3470000 13
14.8%
3450000 11
12.5%
3440000 10
11.4%
3460000 9
10.2%
3410000 4
 
4.5%
3480000 3
 
3.4%
ValueCountFrequency (%)
3410000 4
 
4.5%
3420000 17
19.3%
3430000 21
23.9%
3440000 10
11.4%
3450000 11
12.5%
3460000 9
10.2%
3470000 13
14.8%
3480000 3
 
3.4%
ValueCountFrequency (%)
3480000 3
 
3.4%
3470000 13
14.8%
3460000 9
10.2%
3450000 11
12.5%
3440000 10
11.4%
3430000 21
23.9%
3420000 17
19.3%
3410000 4
 
4.5%

관리번호
Real number (ℝ)

UNIQUE 

Distinct88
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0108896 × 1018
Minimum1.991347 × 1018
Maximum2.019346 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size924.0 B
2023-12-11T04:22:17.907448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.991347 × 1018
5-th percentile2.0006933 × 1018
Q12.0080925 × 1018
median2.0108445 × 1018
Q32.0153463 × 1018
95-th percentile2.0183443 × 1018
Maximum2.019346 × 1018
Range2.7999009 × 1016
Interquartile range (IQR)7.2537562 × 1015

Descriptive statistics

Standard deviation5.9516088 × 1015
Coefficient of variation (CV)0.0029596894
Kurtosis1.4287718
Mean2.0108896 × 1018
Median Absolute Deviation (MAD)3.9994989 × 1015
Skewness-1.0259087
Sum-7.5091548 × 1018
Variance3.5421647 × 1031
MonotonicityNot monotonic
2023-12-11T04:22:18.135217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2019341013014500007 1
 
1.1%
2010344009214500007 1
 
1.1%
2013346012514500002 1
 
1.1%
2010346007714500007 1
 
1.1%
2009346007714500025 1
 
1.1%
2018345015514500008 1
 
1.1%
2010345009914500002 1
 
1.1%
2009345009914500007 1
 
1.1%
2009345009914500001 1
 
1.1%
1993345001211200001 1
 
1.1%
Other values (78) 78
88.6%
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 (%)
2019346016214500007 1
1.1%
2019345016014500003 1
1.1%
2019343009514500003 1
1.1%
2019341013014500007 1
1.1%
2018345015514500008 1
1.1%
2018343009514500010 1
1.1%
2018343009514500001 1
1.1%
2018342013514500021 1
1.1%
2018342013514500017 1
1.1%
2018342013514500011 1
1.1%

인허가일자
Real number (ℝ)

Distinct86
Distinct (%)97.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20102197
Minimum19910809
Maximum20191127
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size924.0 B
2023-12-11T04:22:18.356371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19910809
5-th percentile19987591
Q120077881
median20101162
Q320140326
95-th percentile20181217
Maximum20191127
Range280318
Interquartile range (IQR)62445.25

Descriptive statistics

Standard deviation57769.469
Coefficient of variation (CV)0.0028737889
Kurtosis1.7500535
Mean20102197
Median Absolute Deviation (MAD)30398
Skewness-1.0763083
Sum1.7689933 × 109
Variance3.3373116 × 109
MonotonicityNot monotonic
2023-12-11T04:22:18.597553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20151231 2
 
2.3%
20140326 2
 
2.3%
20101209 1
 
1.1%
20130730 1
 
1.1%
20100507 1
 
1.1%
20091217 1
 
1.1%
20181210 1
 
1.1%
20100112 1
 
1.1%
20090318 1
 
1.1%
20090112 1
 
1.1%
Other values (76) 76
86.4%
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 (%)
20191127 1
1.1%
20190724 1
1.1%
20190222 1
1.1%
20190125 1
1.1%
20181221 1
1.1%
20181210 1
1.1%
20180517 1
1.1%
20180123 1
1.1%
20170906 1
1.1%
20170316 1
1.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing88
Missing (%)100.0%
Memory size924.0 B

영업상태구분코드
Categorical

Distinct3
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size836.0 B
1
48 
3
39 
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 row1

Common Values

ValueCountFrequency (%)
1 48
54.5%
3 39
44.3%
4 1
 
1.1%

Length

2023-12-11T04:22:18.810863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:22:18.948941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 48
54.5%
3 39
44.3%
4 1
 
1.1%

영업상태명
Categorical

Distinct3
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size836.0 B
영업/정상
48 
폐업
39 
취소/말소/만료/정지/중지
 
1

Length

Max length14
Median length5
Mean length3.7727273
Min length2

Unique

Unique1 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 48
54.5%
폐업 39
44.3%
취소/말소/만료/정지/중지 1
 
1.1%

Length

2023-12-11T04:22:19.452960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:22:19.611109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 48
54.5%
폐업 39
44.3%
취소/말소/만료/정지/중지 1
 
1.1%

상세영업상태코드
Categorical

Distinct3
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size836.0 B
20
48 
40
39 
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 row20

Common Values

ValueCountFrequency (%)
20 48
54.5%
40 39
44.3%
70 1
 
1.1%

Length

2023-12-11T04:22:19.773648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:22:19.936617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20 48
54.5%
40 39
44.3%
70 1
 
1.1%

상세영업상태명
Categorical

Distinct3
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size836.0 B
영업중
48 
폐업
39 
등록취소
 
1

Length

Max length4
Median length3
Mean length2.5681818
Min length2

Unique

Unique1 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 48
54.5%
폐업 39
44.3%
등록취소 1
 
1.1%

Length

2023-12-11T04:22:20.116996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:22:20.281318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 48
54.5%
폐업 39
44.3%
등록취소 1
 
1.1%

폐업일자
Real number (ℝ)

MISSING 

Distinct36
Distinct (%)97.3%
Missing51
Missing (%)58.0%
Infinite0
Infinite (%)0.0%
Mean20153527
Minimum20090112
Maximum20200610
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size924.0 B
2023-12-11T04:22:20.476996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20090112
5-th percentile20098492
Q120130115
median20160428
Q320180731
95-th percentile20200325
Maximum20200610
Range110498
Interquartile range (IQR)50616

Descriptive statistics

Standard deviation34522.803
Coefficient of variation (CV)0.0017129907
Kurtosis-1.2260887
Mean20153527
Median Absolute Deviation (MAD)29785
Skewness-0.26791447
Sum7.4568049 × 108
Variance1.1918239 × 109
MonotonicityNot monotonic
2023-12-11T04:22:20.697658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
20200325 2
 
2.3%
20130319 1
 
1.1%
20200610 1
 
1.1%
20091202 1
 
1.1%
20130115 1
 
1.1%
20180130 1
 
1.1%
20120614 1
 
1.1%
20140206 1
 
1.1%
20180126 1
 
1.1%
20090112 1
 
1.1%
Other values (26) 26
29.5%
(Missing) 51
58.0%
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 (%)
20200610 1
1.1%
20200325 2
2.3%
20200102 1
1.1%
20190724 1
1.1%
20190723 1
1.1%
20190213 1
1.1%
20181220 1
1.1%
20181112 1
1.1%
20180731 1
1.1%
20180620 1
1.1%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing88
Missing (%)100.0%
Memory size924.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing88
Missing (%)100.0%
Memory size924.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing88
Missing (%)100.0%
Memory size924.0 B

소재지전화
Text

MISSING 

Distinct67
Distinct (%)98.5%
Missing20
Missing (%)22.7%
Memory size836.0 B
2023-12-11T04:22:21.052600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.191176
Min length7

Characters and Unicode

Total characters761
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

Unique66 ?
Unique (%)97.1%

Sample

1st row053 356 0463
2nd row053 424 0793
3rd row053 255 8166
4th row053 4221901
5th row053 952 1141
ValueCountFrequency (%)
053 52
31.7%
356 3
 
1.8%
527 2
 
1.2%
1331 2
 
1.2%
767 2
 
1.2%
8110127 2
 
1.2%
471 1
 
0.6%
0533414321 1
 
0.6%
8701 1
 
0.6%
655 1
 
0.6%
Other values (97) 97
59.1%
2023-12-11T04:22:21.614152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 126
16.6%
0 124
16.3%
3 110
14.5%
105
13.8%
1 58
7.6%
2 49
 
6.4%
7 42
 
5.5%
9 42
 
5.5%
8 36
 
4.7%
6 35
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 656
86.2%
Space Separator 105
 
13.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 126
19.2%
0 124
18.9%
3 110
16.8%
1 58
8.8%
2 49
 
7.5%
7 42
 
6.4%
9 42
 
6.4%
8 36
 
5.5%
6 35
 
5.3%
4 34
 
5.2%
Space Separator
ValueCountFrequency (%)
105
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 761
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 126
16.6%
0 124
16.3%
3 110
14.5%
105
13.8%
1 58
7.6%
2 49
 
6.4%
7 42
 
5.5%
9 42
 
5.5%
8 36
 
4.7%
6 35
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 761
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 126
16.6%
0 124
16.3%
3 110
14.5%
105
13.8%
1 58
7.6%
2 49
 
6.4%
7 42
 
5.5%
9 42
 
5.5%
8 36
 
4.7%
6 35
 
4.6%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing88
Missing (%)100.0%
Memory size924.0 B

소재지우편번호
Real number (ℝ)

MISSING  ZEROS 

Distinct35
Distinct (%)89.7%
Missing49
Missing (%)55.7%
Infinite0
Infinite (%)0.0%
Mean685745.54
Minimum0
Maximum706847
Zeros1
Zeros (%)1.1%
Negative0
Negative (%)0.0%
Memory size924.0 B
2023-12-11T04:22:21.802839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile700990.2
Q1701965
median703805
Q3705405.5
95-th percentile706244.4
Maximum706847
Range706847
Interquartile range (IQR)3440.5

Descriptive statistics

Standard deviation112710.49
Coefficient of variation (CV)0.16436197
Kurtosis38.979565
Mean685745.54
Median Absolute Deviation (MAD)1956
Skewness-6.2426046
Sum26744076
Variance1.2703654 × 1010
MonotonicityNot monotonic
2023-12-11T04:22:22.040200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
703061 2
 
2.3%
702852 2
 
2.3%
703846 2
 
2.3%
701730 2
 
2.3%
706091 1
 
1.1%
704923 1
 
1.1%
704946 1
 
1.1%
704310 1
 
1.1%
704833 1
 
1.1%
706180 1
 
1.1%
Other values (25) 25
28.4%
(Missing) 49
55.7%
ValueCountFrequency (%)
0 1
1.1%
700812 1
1.1%
701010 1
1.1%
701300 1
1.1%
701730 2
2.3%
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%
706091 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%

소재지전체주소
Text

MISSING 

Distinct72
Distinct (%)97.3%
Missing14
Missing (%)15.9%
Memory size836.0 B
2023-12-11T04:22:22.507915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length43
Mean length25.459459
Min length19

Characters and Unicode

Total characters1884
Distinct characters124
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 대봉2동 88번지 4호
2nd row대구광역시 중구 남산동 2482번지
3rd row대구광역시 중구 삼덕동2가 149번지 63호
4th row대구광역시 동구 신암동 593번지 5호 우진빌딩
5th row대구광역시 동구 신천동 95번지 벤처센터빌딩 3층
ValueCountFrequency (%)
대구광역시 73
 
17.6%
서구 16
 
3.9%
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 (195) 255
61.4%
2023-12-11T04:22:23.223712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
349
18.5%
구 144
 
7.6%
1 96
 
5.1%
동 87
 
4.6%
대 85
 
4.5%
지 74
 
3.9%
시 74
 
3.9%
역 73
 
3.9%
광 73
 
3.9%
번 72
 
3.8%
Other values (114) 757
40.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1109
58.9%
Decimal Number 421
 
22.3%
Space Separator 349
 
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
13.0%
동 87
 
7.8%
대 85
 
7.7%
지 74
 
6.7%
시 74
 
6.7%
역 73
 
6.6%
광 73
 
6.6%
번 72
 
6.5%
호 68
 
6.1%
서 26
 
2.3%
Other values (100) 333
30.0%
Decimal Number
ValueCountFrequency (%)
1 96
22.8%
2 55
13.1%
3 42
10.0%
5 41
9.7%
4 38
 
9.0%
6 37
 
8.8%
0 36
 
8.6%
7 31
 
7.4%
8 26
 
6.2%
9 19
 
4.5%
Space Separator
ValueCountFrequency (%)
349
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 1109
58.9%
Common 775
41.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 144
13.0%
동 87
 
7.8%
대 85
 
7.7%
지 74
 
6.7%
시 74
 
6.7%
역 73
 
6.6%
광 73
 
6.6%
번 72
 
6.5%
호 68
 
6.1%
서 26
 
2.3%
Other values (100) 333
30.0%
Common
ValueCountFrequency (%)
349
45.0%
1 96
 
12.4%
2 55
 
7.1%
3 42
 
5.4%
5 41
 
5.3%
4 38
 
4.9%
6 37
 
4.8%
0 36
 
4.6%
7 31
 
4.0%
8 26
 
3.4%
Other values (4) 24
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1109
58.9%
ASCII 775
41.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
349
45.0%
1 96
 
12.4%
2 55
 
7.1%
3 42
 
5.4%
5 41
 
5.3%
4 38
 
4.9%
6 37
 
4.8%
0 36
 
4.6%
7 31
 
4.0%
8 26
 
3.4%
Other values (4) 24
 
3.1%
Hangul
ValueCountFrequency (%)
구 144
13.0%
동 87
 
7.8%
대 85
 
7.7%
지 74
 
6.7%
시 74
 
6.7%
역 73
 
6.6%
광 73
 
6.6%
번 72
 
6.5%
호 68
 
6.1%
서 26
 
2.3%
Other values (100) 333
30.0%

도로명전체주소
Text

MISSING 

Distinct79
Distinct (%)97.5%
Missing7
Missing (%)8.0%
Memory size836.0 B
2023-12-11T04:22:23.722422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length41
Mean length28.802469
Min length21

Characters and Unicode

Total characters2333
Distinct characters176
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

Unique77 ?
Unique (%)95.1%

Sample

1st row대구광역시 중구 국채보상로 554-1 (종로1가)
2nd row대구광역시 중구 대봉로 243 (대봉동)
3rd row대구광역시 중구 공평로4길 24-7 (삼덕동2가)
4th row대구광역시 동구 아양로 39, 우진빌딩 6층 (신암동)
5th row대구광역시 동구 동대구로 475, 3층 (신천동, 벤처센터빌딩)
ValueCountFrequency (%)
대구광역시 80
 
17.3%
동구 16
 
3.5%
서구 16
 
3.5%
수성구 14
 
3.0%
남구 11
 
2.4%
북구 9
 
1.9%
달서구 8
 
1.7%
평리동 7
 
1.5%
4층 6
 
1.3%
국채보상로 6
 
1.3%
Other values (210) 289
62.6%
2023-12-11T04:22:24.459498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
381
 
16.3%
구 180
 
7.7%
대 119
 
5.1%
동 114
 
4.9%
시 84
 
3.6%
광 81
 
3.5%
역 81
 
3.5%
로 81
 
3.5%
( 77
 
3.3%
) 77
 
3.3%
Other values (166) 1058
45.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1378
59.1%
Space Separator 381
 
16.3%
Decimal Number 356
 
15.3%
Open Punctuation 77
 
3.3%
Close Punctuation 77
 
3.3%
Other Punctuation 48
 
2.1%
Dash Punctuation 16
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 180
 
13.1%
대 119
 
8.6%
동 114
 
8.3%
시 84
 
6.1%
광 81
 
5.9%
역 81
 
5.9%
로 81
 
5.9%
성 37
 
2.7%
서 35
 
2.5%
길 33
 
2.4%
Other values (151) 533
38.7%
Decimal Number
ValueCountFrequency (%)
1 77
21.6%
2 53
14.9%
3 45
12.6%
4 37
10.4%
6 33
9.3%
0 31
8.7%
7 29
 
8.1%
5 23
 
6.5%
9 14
 
3.9%
8 14
 
3.9%
Space Separator
ValueCountFrequency (%)
381
100.0%
Open Punctuation
ValueCountFrequency (%)
( 77
100.0%
Close Punctuation
ValueCountFrequency (%)
) 77
100.0%
Other Punctuation
ValueCountFrequency (%)
, 48
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1378
59.1%
Common 955
40.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 180
 
13.1%
대 119
 
8.6%
동 114
 
8.3%
시 84
 
6.1%
광 81
 
5.9%
역 81
 
5.9%
로 81
 
5.9%
성 37
 
2.7%
서 35
 
2.5%
길 33
 
2.4%
Other values (151) 533
38.7%
Common
ValueCountFrequency (%)
381
39.9%
( 77
 
8.1%
) 77
 
8.1%
1 77
 
8.1%
2 53
 
5.5%
, 48
 
5.0%
3 45
 
4.7%
4 37
 
3.9%
6 33
 
3.5%
0 31
 
3.2%
Other values (5) 96
 
10.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1378
59.1%
ASCII 955
40.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
381
39.9%
( 77
 
8.1%
) 77
 
8.1%
1 77
 
8.1%
2 53
 
5.5%
, 48
 
5.0%
3 45
 
4.7%
4 37
 
3.9%
6 33
 
3.5%
0 31
 
3.2%
Other values (5) 96
 
10.1%
Hangul
ValueCountFrequency (%)
구 180
 
13.1%
대 119
 
8.6%
동 114
 
8.3%
시 84
 
6.1%
광 81
 
5.9%
역 81
 
5.9%
로 81
 
5.9%
성 37
 
2.7%
서 35
 
2.5%
길 33
 
2.4%
Other values (151) 533
38.7%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct50
Distinct (%)96.2%
Missing36
Missing (%)40.9%
Infinite0
Infinite (%)0.0%
Mean334671.92
Minimum38453
Maximum706827
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size924.0 B
2023-12-11T04:22:24.677386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum38453
5-th percentile41073.5
Q141912
median42822.5
Q3703078.25
95-th percentile706254.15
Maximum706827
Range668374
Interquartile range (IQR)661166.25

Descriptive statistics

Standard deviation331954.56
Coefficient of variation (CV)0.99188052
Kurtosis-2.021986
Mean334671.92
Median Absolute Deviation (MAD)1749.5
Skewness0.23931265
Sum17402940
Variance1.1019383 × 1011
MonotonicityNot monotonic
2023-12-11T04:22:24.873172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
701730 2
 
2.3%
42429 2
 
2.3%
42921 1
 
1.1%
42149 1
 
1.1%
41589 1
 
1.1%
702837 1
 
1.1%
702100 1
 
1.1%
41534 1
 
1.1%
41580 1
 
1.1%
42033 1
 
1.1%
Other values (40) 40
45.5%
(Missing) 36
40.9%
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%
41534 1
1.1%
41580 1
1.1%
41589 1
1.1%
41765 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

Distinct86
Distinct (%)97.7%
Missing0
Missing (%)0.0%
Memory size836.0 B
2023-12-11T04:22:25.262572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length21
Mean length14.897727
Min length4

Characters and Unicode

Total characters1311
Distinct characters174
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

Unique84 ?
Unique (%)95.5%

Sample

1st row(사)더나은세상을위한공감
2nd row대구경북인쇄정보산업협동조합
3rd row대구광역시장애인재활협회
4th row대구중구시니어클럽
5th row대구종합취업지원센터
ValueCountFrequency (%)
무료직업소개소 18
 
13.7%
한국녹색환경협회 2
 
1.5%
대구테크노파크 2
 
1.5%
대구경북지역 2
 
1.5%
대구취업지원센터 2
 
1.5%
대구희망리본본부 2
 
1.5%
재)대구직업전문학교 2
 
1.5%
사단법인 2
 
1.5%
토목건축노동조합 2
 
1.5%
사)중소기업기술혁신협회 1
 
0.8%
Other values (96) 96
73.3%
2023-12-11T04:22:25.855693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
소 92
 
7.0%
업 68
 
5.2%
구 66
 
5.0%
대 53
 
4.0%
개 48
 
3.7%
직 45
 
3.4%
43
 
3.3%
무 39
 
3.0%
료 37
 
2.8%
지 34
 
2.6%
Other values (164) 786
60.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1218
92.9%
Space Separator 43
 
3.3%
Close Punctuation 21
 
1.6%
Open Punctuation 19
 
1.4%
Uppercase Letter 9
 
0.7%
Decimal Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
소 92
 
7.6%
업 68
 
5.6%
구 66
 
5.4%
대 53
 
4.4%
개 48
 
3.9%
직 45
 
3.7%
무 39
 
3.2%
료 37
 
3.0%
지 34
 
2.8%
터 29
 
2.4%
Other values (157) 707
58.0%
Uppercase Letter
ValueCountFrequency (%)
D 3
33.3%
R 3
33.3%
H 3
33.3%
Space Separator
ValueCountFrequency (%)
43
100.0%
Close Punctuation
ValueCountFrequency (%)
) 21
100.0%
Open Punctuation
ValueCountFrequency (%)
( 19
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1218
92.9%
Common 84
 
6.4%
Latin 9
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
소 92
 
7.6%
업 68
 
5.6%
구 66
 
5.4%
대 53
 
4.4%
개 48
 
3.9%
직 45
 
3.7%
무 39
 
3.2%
료 37
 
3.0%
지 34
 
2.8%
터 29
 
2.4%
Other values (157) 707
58.0%
Common
ValueCountFrequency (%)
43
51.2%
) 21
25.0%
( 19
22.6%
1 1
 
1.2%
Latin
ValueCountFrequency (%)
D 3
33.3%
R 3
33.3%
H 3
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1218
92.9%
ASCII 93
 
7.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
소 92
 
7.6%
업 68
 
5.6%
구 66
 
5.4%
대 53
 
4.4%
개 48
 
3.9%
직 45
 
3.7%
무 39
 
3.2%
료 37
 
3.0%
지 34
 
2.8%
터 29
 
2.4%
Other values (157) 707
58.0%
ASCII
ValueCountFrequency (%)
43
46.2%
) 21
22.6%
( 19
20.4%
D 3
 
3.2%
R 3
 
3.2%
H 3
 
3.2%
1 1
 
1.1%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct88
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0160104 × 1013
Minimum2.0041202 × 1013
Maximum2.020063 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size924.0 B
2023-12-11T04:22:26.085956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0041202 × 1013
5-th percentile2.0093673 × 1013
Q12.0131099 × 1013
median2.0180117 × 1013
Q32.0190444 × 1013
95-th percentile2.0200325 × 1013
Maximum2.020063 × 1013
Range1.59428 × 1011
Interquartile range (IQR)5.9344552 × 1010

Descriptive statistics

Standard deviation3.7781975 × 1010
Coefficient of variation (CV)0.0018740963
Kurtosis0.73168042
Mean2.0160104 × 1013
Median Absolute Deviation (MAD)1.9990914 × 1010
Skewness-1.0970363
Sum1.7740891 × 1015
Variance1.4274776 × 1021
MonotonicityNot monotonic
2023-12-11T04:22:26.334332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20190826100450 1
 
1.1%
20120222171436 1
 
1.1%
20130730171848 1
 
1.1%
20190117114323 1
 
1.1%
20130505123800 1
 
1.1%
20200612191118 1
 
1.1%
20140207090037 1
 
1.1%
20120614182101 1
 
1.1%
20180130171657 1
 
1.1%
20041202160424 1
 
1.1%
Other values (78) 78
88.6%
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 (%)
20200630164628 1
1.1%
20200612191118 1
1.1%
20200610125259 1
1.1%
20200526130313 1
1.1%
20200325134709 1
1.1%
20200325134603 1
1.1%
20200117195228 1
1.1%
20200117174643 1
1.1%
20200117155947 1
1.1%
20200113085435 1
1.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size836.0 B
I
54 
U
34 

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 54
61.4%
U 34
38.6%

Length

2023-12-11T04:22:26.565002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:22:26.729134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 54
61.4%
u 34
38.6%

데이터갱신일자
Date

Distinct29
Distinct (%)33.0%
Missing0
Missing (%)0.0%
Memory size836.0 B
Minimum2018-08-31 23:59:59
Maximum2020-07-02 02:40:00
2023-12-11T04:22:26.880916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T04:22:27.063419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing88
Missing (%)100.0%
Memory size924.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct77
Distinct (%)89.5%
Missing2
Missing (%)2.3%
Infinite0
Infinite (%)0.0%
Mean343952.71
Minimum329454.22
Maximum366747.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size924.0 B
2023-12-11T04:22:27.321917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum329454.22
5-th percentile334736.93
Q1340205.7
median344259.65
Q3346679.05
95-th percentile355769.31
Maximum366747.7
Range37293.488
Interquartile range (IQR)6473.3504

Descriptive statistics

Standard deviation5916.9196
Coefficient of variation (CV)0.017202713
Kurtosis2.2726722
Mean343952.71
Median Absolute Deviation (MAD)3072.6313
Skewness0.66554782
Sum29579933
Variance35009938
MonotonicityNot monotonic
2023-12-11T04:22:27.553550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
339384.623178 2
 
2.3%
346672.854539 2
 
2.3%
344046.261885 2
 
2.3%
342619.210678 2
 
2.3%
336819.52894 2
 
2.3%
344989.451389 2
 
2.3%
344332.554299 2
 
2.3%
340142.495318 2
 
2.3%
337705.232586 2
 
2.3%
342754.228676 1
 
1.1%
Other values (67) 67
76.1%
(Missing) 2
 
2.3%
ValueCountFrequency (%)
329454.216845 1
1.1%
331235.147561 1
1.1%
332592.498861 1
1.1%
333862.343439 1
1.1%
334303.395884 1
1.1%
336037.521032 1
1.1%
336405.598377 1
1.1%
336819.52894 2
2.3%
337705.232586 2
2.3%
338471.876999 1
1.1%
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%
354504.881098 1
1.1%
351075.382274 1
1.1%
350653.343026 1
1.1%
349673.153843 1
1.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct77
Distinct (%)89.5%
Missing2
Missing (%)2.3%
Infinite0
Infinite (%)0.0%
Mean263511.67
Minimum248727.67
Maximum272229.95
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size924.0 B
2023-12-11T04:22:27.801065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum248727.67
5-th percentile259409.22
Q1262124.33
median263465.04
Q3265261.55
95-th percentile267960.17
Maximum272229.95
Range23502.28
Interquartile range (IQR)3137.2219

Descriptive statistics

Standard deviation3148.1039
Coefficient of variation (CV)0.011946735
Kurtosis5.8418092
Mean263511.67
Median Absolute Deviation (MAD)1722.3376
Skewness-1.2582601
Sum22662003
Variance9910558.3
MonotonicityNot monotonic
2023-12-11T04:22:28.052466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
263518.126678 2
 
2.3%
264843.003409 2
 
2.3%
261742.707245 2
 
2.3%
266252.707106 2
 
2.3%
259409.219302 2
 
2.3%
267618.377001 2
 
2.3%
265280.518596 2
 
2.3%
263121.400886 2
 
2.3%
262521.308163 2
 
2.3%
261557.550615 1
 
1.1%
Other values (67) 67
76.1%
(Missing) 2
 
2.3%
ValueCountFrequency (%)
248727.671723 1
1.1%
253850.09474 1
1.1%
257467.514119 1
1.1%
258325.049675 1
1.1%
259409.219302 2
2.3%
259688.94559 1
1.1%
260145.429824 1
1.1%
260166.238089 1
1.1%
261117.703694427 1
1.1%
261215.496084 1
1.1%
ValueCountFrequency (%)
272229.951945 1
1.1%
269105.367036386 1
1.1%
268745.606545 1
1.1%
268084.84261 1
1.1%
268051.856327 1
1.1%
267685.117048 1
1.1%
267618.377001 2
2.3%
266853.800698 1
1.1%
266511.759073 1
1.1%
266252.707106 2
2.3%

법인구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size836.0 B
법인
79 
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 79
89.8%
개인 9
 
10.2%

Length

2023-12-11T04:22:28.275167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:22:28.447865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
법인 79
89.8%
개인 9
 
10.2%

구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size836.0 B
무료
88 

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 88
100.0%

Length

2023-12-11T04:22:28.648764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:22:28.825242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
무료 88
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_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>053 255 8166<NA><NA>대구광역시 중구 남산동 2482번지<NA><NA>대구광역시장애인재활협회20190816152208U2019-08-18 02:40:00.0<NA><NA><NA>법인무료
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_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>346679.371552265960.774964법인무료
56무료직업소개소11_50_01_P3420000201234201111450002220120507<NA>1영업/정상20영업중<NA><NA><NA><NA>053 742 1775<NA>701730대구광역시 동구 신천동 95번지 벤처센터빌딩 3층대구광역시 동구 동대구로 475, 3층 (신천동, 벤처센터빌딩)701730(사)대구경북첨단벤처기업연합회20160804150231I2018-08-31 23:59:59.0<NA>346672.854539264843.003409법인무료
67무료직업소개소11_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
78무료직업소개소11_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
89무료직업소개소11_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 직업소개소20190110175833U2019-01-12 02:40:00.0<NA>346114.989173265743.010783법인무료
910무료직업소개소11_50_01_P3420000201834201351450001120180517<NA>1영업/정상20영업중<NA><NA><NA><NA>053 430 4689<NA><NA><NA>대구광역시 동구 첨단로 7, 신용보증기금본점 (신서동)41068신용보증기금20180712093615I2018-08-31 23:59:59.0<NA>356078.0265491.0법인무료
번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)법인구분명구분명
7879무료직업소개소11_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
7980무료직업소개소11_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
8081무료직업소개소11_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
8182무료직업소개소11_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
8283무료직업소개소11_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
8384무료직업소개소11_50_01_P3470000200734701171120000120070420<NA>3폐업40폐업20100401<NA><NA><NA><NA><NA><NA>대구광역시 서구 내당동 466번지 20호<NA><NA>노숙인쉼터근로자의집20100402085755I2018-08-31 23:59:59.0<NA>340250.954885263158.357958법인무료
8485무료직업소개소11_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
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