Overview

Dataset statistics

Number of variables30
Number of observations2796
Missing cells25880
Missing cells (%)30.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory704.6 KiB
Average record size in memory258.0 B

Variable types

Numeric10
Categorical9
Unsupported6
Text4
DateTime1

Dataset

Description6270000_대구광역시_11_50_02_P_유료직업소개소_7월
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000048603&dataSetDetailId=DDI_0000048613&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스ID has constant value ""Constant
데이터갱신구분 is highly imbalanced (53.1%)Imbalance
법인구분명 is highly imbalanced (84.3%)Imbalance
구분명 is highly imbalanced (99.5%)Imbalance
인허가취소일자 has 2796 (100.0%) missing valuesMissing
폐업일자 has 1687 (60.3%) missing valuesMissing
휴업시작일자 has 2796 (100.0%) missing valuesMissing
휴업종료일자 has 2796 (100.0%) missing valuesMissing
재개업일자 has 2796 (100.0%) missing valuesMissing
소재지전화 has 2392 (85.6%) missing valuesMissing
소재지면적 has 2796 (100.0%) missing valuesMissing
소재지우편번호 has 1955 (69.9%) missing valuesMissing
도로명전체주소 has 766 (27.4%) missing valuesMissing
도로명우편번호 has 1932 (69.1%) missing valuesMissing
업태구분명 has 2796 (100.0%) missing valuesMissing
좌표정보(X) has 177 (6.3%) missing valuesMissing
좌표정보(Y) has 177 (6.3%) 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 85 (3.0%) zerosZeros

Reproduction

Analysis started2024-04-21 03:07:53.666584
Analysis finished2024-04-21 03:07:55.230464
Duration1.56 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct2796
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1398.5
Minimum1
Maximum2796
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size24.7 KiB
2024-04-21T12:07:55.411402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile140.75
Q1699.75
median1398.5
Q32097.25
95-th percentile2656.25
Maximum2796
Range2795
Interquartile range (IQR)1397.5

Descriptive statistics

Standard deviation807.28
Coefficient of variation (CV)0.57724705
Kurtosis-1.2
Mean1398.5
Median Absolute Deviation (MAD)699
Skewness0
Sum3910206
Variance651701
MonotonicityStrictly increasing
2024-04-21T12:07:55.844596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
1869 1
 
< 0.1%
1861 1
 
< 0.1%
1862 1
 
< 0.1%
1863 1
 
< 0.1%
1864 1
 
< 0.1%
1865 1
 
< 0.1%
1866 1
 
< 0.1%
1867 1
 
< 0.1%
1868 1
 
< 0.1%
Other values (2786) 2786
99.6%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
ValueCountFrequency (%)
2796 1
< 0.1%
2795 1
< 0.1%
2794 1
< 0.1%
2793 1
< 0.1%
2792 1
< 0.1%
2791 1
< 0.1%
2790 1
< 0.1%
2789 1
< 0.1%
2788 1
< 0.1%
2787 1
< 0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size22.0 KiB
유료직업소개소
2796 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유료직업소개소 2796
100.0%

Length

2024-04-21T12:07:56.268322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T12:07:56.579548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유료직업소개소 2796
100.0%

개방서비스ID
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size22.0 KiB
11_50_02_P
2796 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row11_50_02_P
2nd row11_50_02_P
3rd row11_50_02_P
4th row11_50_02_P
5th row11_50_02_P

Common Values

ValueCountFrequency (%)
11_50_02_P 2796
100.0%

Length

2024-04-21T12:07:56.889466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T12:07:57.179955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
11_50_02_p 2796
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3443086.6
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size24.7 KiB
2024-04-21T12:07:57.449244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3410000
Q13420000
median3440000
Q33470000
95-th percentile3470000
Maximum3480000
Range70000
Interquartile range (IQR)50000

Descriptive statistics

Standard deviation23100.179
Coefficient of variation (CV)0.0067091485
Kurtosis-1.5070082
Mean3443086.6
Median Absolute Deviation (MAD)20000
Skewness-0.09386583
Sum9.62687 × 109
Variance5.3361827 × 108
MonotonicityIncreasing
2024-04-21T12:07:57.819526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3470000 615
22.0%
3460000 507
18.1%
3420000 452
16.2%
3410000 438
15.7%
3430000 301
10.8%
3440000 221
 
7.9%
3450000 175
 
6.3%
3480000 87
 
3.1%
ValueCountFrequency (%)
3410000 438
15.7%
3420000 452
16.2%
3430000 301
10.8%
3440000 221
 
7.9%
3450000 175
 
6.3%
3460000 507
18.1%
3470000 615
22.0%
3480000 87
 
3.1%
ValueCountFrequency (%)
3480000 87
 
3.1%
3470000 615
22.0%
3460000 507
18.1%
3450000 175
 
6.3%
3440000 221
 
7.9%
3430000 301
10.8%
3420000 452
16.2%
3410000 438
15.7%

관리번호
Real number (ℝ)

UNIQUE 

Distinct2796
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0066816 × 1018
Minimum1.968341 × 1018
Maximum2.019348 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size24.7 KiB
2024-04-21T12:07:58.243691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.968341 × 1018
5-th percentile1.998343 × 1018
Q12.002347 × 1018
median2.005347 × 1018
Q32.011342 × 1018
95-th percentile2.018341 × 1018
Maximum2.019348 × 1018
Range5.1007029 × 1016
Interquartile range (IQR)8.9950036 × 1015

Descriptive statistics

Standard deviation6.6508844 × 1015
Coefficient of variation (CV)0.0033143696
Kurtosis5.989073
Mean2.0066816 × 1018
Median Absolute Deviation (MAD)3.9950015 × 1015
Skewness-1.0040198
Sum2.8715116 × 1018
Variance4.4234263 × 1031
MonotonicityNot monotonic
2024-04-21T12:07:58.701555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2005341001311500003 1
 
< 0.1%
2014346012514500001 1
 
< 0.1%
2013346012514500003 1
 
< 0.1%
2013346012514500004 1
 
< 0.1%
2013346012514500005 1
 
< 0.1%
2013346012514500006 1
 
< 0.1%
2013346012514500007 1
 
< 0.1%
2013346012514500009 1
 
< 0.1%
2013346012514500010 1
 
< 0.1%
2013346012514500012 1
 
< 0.1%
Other values (2786) 2786
99.6%
ValueCountFrequency (%)
1968341008011500001 1
< 0.1%
1969341007911500001 1
< 0.1%
1969341007911500002 1
< 0.1%
1969341007911500003 1
< 0.1%
1969341007911500004 1
< 0.1%
1969341007911500005 1
< 0.1%
1969341007911500006 1
< 0.1%
1969341007911500007 1
< 0.1%
1969341008011500001 1
< 0.1%
1969341008011500002 1
< 0.1%
ValueCountFrequency (%)
2019348036514500005 1
< 0.1%
2019348036514500004 1
< 0.1%
2019348036514500003 1
< 0.1%
2019348036514500002 1
< 0.1%
2019348036514500001 1
< 0.1%
2019347018114500007 1
< 0.1%
2019347018114500006 1
< 0.1%
2019347018114500005 1
< 0.1%
2019347018114500004 1
< 0.1%
2019347018114500003 1
< 0.1%

인허가일자
Real number (ℝ)

Distinct1920
Distinct (%)68.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20062494
Minimum19681230
Maximum20190611
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size24.7 KiB
2024-04-21T12:07:59.131999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19681230
5-th percentile19980926
Q120021111
median20051113
Q320101118
95-th percentile20170914
Maximum20190611
Range509381
Interquartile range (IQR)80007

Descriptive statistics

Standard deviation65515.717
Coefficient of variation (CV)0.0032655818
Kurtosis6.3801731
Mean20062494
Median Absolute Deviation (MAD)30984.5
Skewness-1.0532586
Sum5.6094734 × 1010
Variance4.2923092 × 109
MonotonicityNot monotonic
2024-04-21T12:07:59.595443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19950126 8
 
0.3%
20030729 6
 
0.2%
20020429 6
 
0.2%
20061123 6
 
0.2%
20061129 6
 
0.2%
20050318 6
 
0.2%
20060901 6
 
0.2%
20070309 5
 
0.2%
19980903 5
 
0.2%
20060915 5
 
0.2%
Other values (1910) 2737
97.9%
ValueCountFrequency (%)
19681230 1
 
< 0.1%
19690130 1
 
< 0.1%
19690210 1
 
< 0.1%
19690305 4
0.1%
19690311 1
 
< 0.1%
19690325 1
 
< 0.1%
19690409 1
 
< 0.1%
19690410 1
 
< 0.1%
19690517 1
 
< 0.1%
19690925 1
 
< 0.1%
ValueCountFrequency (%)
20190611 1
 
< 0.1%
20190527 1
 
< 0.1%
20190517 2
0.1%
20190426 1
 
< 0.1%
20190424 3
0.1%
20190409 1
 
< 0.1%
20190404 2
0.1%
20190403 2
0.1%
20190401 1
 
< 0.1%
20190328 2
0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2796
Missing (%)100.0%
Memory size24.7 KiB

영업상태구분코드
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size22.0 KiB
3
2079 
1
543 
4
 
174

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 2079
74.4%
1 543
 
19.4%
4 174
 
6.2%

Length

2024-04-21T12:08:00.006279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T12:08:00.317196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 2079
74.4%
1 543
 
19.4%
4 174
 
6.2%

영업상태명
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size22.0 KiB
폐업
2079 
영업/정상
543 
취소/말소/만료/정지/중지
 
174

Length

Max length14
Median length2
Mean length3.3293991
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 2079
74.4%
영업/정상 543
 
19.4%
취소/말소/만료/정지/중지 174
 
6.2%

Length

2024-04-21T12:08:00.672323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T12:08:00.998660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 2079
74.4%
영업/정상 543
 
19.4%
취소/말소/만료/정지/중지 174
 
6.2%

상세영업상태코드
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size22.0 KiB
40
2079 
20
543 
70
 
174

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
40 2079
74.4%
20 543
 
19.4%
70 174
 
6.2%

Length

2024-04-21T12:08:01.335907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T12:08:01.642380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
40 2079
74.4%
20 543
 
19.4%
70 174
 
6.2%

상세영업상태명
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size22.0 KiB
폐업
2079 
영업중
543 
등록취소
 
174

Length

Max length4
Median length2
Mean length2.3186695
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 2079
74.4%
영업중 543
 
19.4%
등록취소 174
 
6.2%

Length

2024-04-21T12:08:02.018869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T12:08:02.356882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 2079
74.4%
영업중 543
 
19.4%
등록취소 174
 
6.2%

폐업일자
Real number (ℝ)

MISSING 

Distinct931
Distinct (%)83.9%
Missing1687
Missing (%)60.3%
Infinite0
Infinite (%)0.0%
Mean20109937
Minimum19950714
Maximum20190627
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size24.7 KiB
2024-04-21T12:08:02.719759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19950714
5-th percentile20030449
Q120080407
median20110511
Q320150629
95-th percentile20180874
Maximum20190627
Range239913
Interquartile range (IQR)70222

Descriptive statistics

Standard deviation47472.263
Coefficient of variation (CV)0.0023606371
Kurtosis-0.34467485
Mean20109937
Median Absolute Deviation (MAD)30718
Skewness-0.30279649
Sum2.230192 × 1010
Variance2.2536158 × 109
MonotonicityNot monotonic
2024-04-21T12:08:03.085304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20040918 8
 
0.3%
20070723 4
 
0.1%
20161014 4
 
0.1%
20041022 4
 
0.1%
20090120 4
 
0.1%
20081229 4
 
0.1%
20160607 3
 
0.1%
20130402 3
 
0.1%
20080423 3
 
0.1%
20090416 3
 
0.1%
Other values (921) 1069
38.2%
(Missing) 1687
60.3%
ValueCountFrequency (%)
19950714 1
< 0.1%
19960424 1
< 0.1%
19961023 1
< 0.1%
19970109 1
< 0.1%
19970414 1
< 0.1%
19970610 1
< 0.1%
19970630 1
< 0.1%
19980504 2
0.1%
19990901 1
< 0.1%
19990928 1
< 0.1%
ValueCountFrequency (%)
20190627 1
< 0.1%
20190625 1
< 0.1%
20190624 2
0.1%
20190620 1
< 0.1%
20190611 1
< 0.1%
20190517 1
< 0.1%
20190513 1
< 0.1%
20190430 2
0.1%
20190429 1
< 0.1%
20190416 2
0.1%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2796
Missing (%)100.0%
Memory size24.7 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2796
Missing (%)100.0%
Memory size24.7 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2796
Missing (%)100.0%
Memory size24.7 KiB

소재지전화
Text

MISSING 

Distinct390
Distinct (%)96.5%
Missing2392
Missing (%)85.6%
Memory size22.0 KiB
2024-04-21T12:08:04.220639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.544554
Min length7

Characters and Unicode

Total characters4664
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

Unique379 ?
Unique (%)93.8%

Sample

1st row4242900
2nd row053 255 1190
3rd row053 4230770
4th row053 422 5082
5th row053 939 7770
ValueCountFrequency (%)
053 348
33.5%
761 13
 
1.3%
611 12
 
1.2%
744 7
 
0.7%
424 7
 
0.7%
764 7
 
0.7%
768 7
 
0.7%
766 6
 
0.6%
753 6
 
0.6%
746 5
 
0.5%
Other values (505) 621
59.8%
2024-04-21T12:08:06.045232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 700
15.0%
683
14.6%
5 682
14.6%
3 593
12.7%
7 354
7.6%
1 331
7.1%
4 303
6.5%
6 301
6.5%
2 292
6.3%
9 234
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3981
85.4%
Space Separator 683
 
14.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 700
17.6%
5 682
17.1%
3 593
14.9%
7 354
8.9%
1 331
8.3%
4 303
7.6%
6 301
7.6%
2 292
7.3%
9 234
 
5.9%
8 191
 
4.8%
Space Separator
ValueCountFrequency (%)
683
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4664
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 700
15.0%
683
14.6%
5 682
14.6%
3 593
12.7%
7 354
7.6%
1 331
7.1%
4 303
6.5%
6 301
6.5%
2 292
6.3%
9 234
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4664
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 700
15.0%
683
14.6%
5 682
14.6%
3 593
12.7%
7 354
7.6%
1 331
7.1%
4 303
6.5%
6 301
6.5%
2 292
6.3%
9 234
 
5.0%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2796
Missing (%)100.0%
Memory size24.7 KiB

소재지우편번호
Real number (ℝ)

MISSING  ZEROS 

Distinct308
Distinct (%)36.6%
Missing1955
Missing (%)69.9%
Infinite0
Infinite (%)0.0%
Mean630926.2
Minimum0
Maximum711891
Zeros85
Zeros (%)3.0%
Negative0
Negative (%)0.0%
Memory size24.7 KiB
2024-04-21T12:08:06.397133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1701816
median703046
Q3705033
95-th percentile706838
Maximum711891
Range711891
Interquartile range (IQR)3217

Descriptive statistics

Standard deviation214149.52
Coefficient of variation (CV)0.33942088
Kurtosis4.7923448
Mean630926.2
Median Absolute Deviation (MAD)1816
Skewness-2.6016664
Sum5.3060893 × 108
Variance4.5860018 × 1010
MonotonicityNot monotonic
2024-04-21T12:08:06.653531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 85
 
3.0%
703014 23
 
0.8%
703062 19
 
0.7%
706032 18
 
0.6%
703061 17
 
0.6%
700111 16
 
0.6%
701816 15
 
0.5%
703042 15
 
0.5%
703013 14
 
0.5%
701827 11
 
0.4%
Other values (298) 608
 
21.7%
(Missing) 1955
69.9%
ValueCountFrequency (%)
0 85
3.0%
41580 1
 
< 0.1%
110541 1
 
< 0.1%
402843 1
 
< 0.1%
700010 1
 
< 0.1%
700082 1
 
< 0.1%
700091 1
 
< 0.1%
700111 16
 
0.6%
700310 1
 
< 0.1%
700351 3
 
0.1%
ValueCountFrequency (%)
711891 1
 
< 0.1%
711883 1
 
< 0.1%
711874 3
0.1%
711873 2
0.1%
711872 4
0.1%
711865 1
 
< 0.1%
711853 1
 
< 0.1%
711852 1
 
< 0.1%
711851 1
 
< 0.1%
711843 1
 
< 0.1%

소재지전체주소
Text

Distinct2557
Distinct (%)92.0%
Missing18
Missing (%)0.6%
Memory size22.0 KiB
2024-04-21T12:08:07.989600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length45
Mean length29.647588
Min length1

Characters and Unicode

Total characters82361
Distinct characters362
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2382 ?
Unique (%)85.7%

Sample

1st row대구광역시 동구 효목동 337호 20통 4반 태왕메트로시티 117 509
2nd row제주도 제주시 건입동 1242번지 1호 6통 4반 201
3rd row대구광역시 중구 남산동 916번지 21호 2통 6반
4th row대구광역시 북구 읍내동 770호 해원선빌리지 C 101
5th row대구광역시 수성구 두산동 149번지 4호
ValueCountFrequency (%)
대구광역시 2551
 
13.9%
달서구 531
 
2.9%
수성구 470
 
2.6%
동구 407
 
2.2%
1호 361
 
2.0%
서구 331
 
1.8%
북구 245
 
1.3%
남구 241
 
1.3%
중구 208
 
1.1%
1반 204
 
1.1%
Other values (2953) 12862
69.9%
2024-04-21T12:08:09.664807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
17798
21.6%
구 5088
 
6.2%
1 4776
 
5.8%
2 3053
 
3.7%
동 3041
 
3.7%
대 2868
 
3.5%
호 2859
 
3.5%
시 2744
 
3.3%
광 2589
 
3.1%
역 2574
 
3.1%
Other values (352) 34971
42.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 44276
53.8%
Decimal Number 20043
24.3%
Space Separator 17798
21.6%
Other Punctuation 85
 
0.1%
Uppercase Letter 53
 
0.1%
Open Punctuation 47
 
0.1%
Close Punctuation 47
 
0.1%
Dash Punctuation 6
 
< 0.1%
Lowercase Letter 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 5088
 
11.5%
동 3041
 
6.9%
대 2868
 
6.5%
호 2859
 
6.5%
시 2744
 
6.2%
광 2589
 
5.8%
역 2574
 
5.8%
지 2485
 
5.6%
번 2323
 
5.2%
통 1241
 
2.8%
Other values (325) 16464
37.2%
Decimal Number
ValueCountFrequency (%)
1 4776
23.8%
2 3053
15.2%
3 2228
11.1%
0 2215
11.1%
4 1749
 
8.7%
5 1503
 
7.5%
6 1270
 
6.3%
7 1196
 
6.0%
8 1068
 
5.3%
9 985
 
4.9%
Uppercase Letter
ValueCountFrequency (%)
B 22
41.5%
A 18
34.0%
C 5
 
9.4%
D 4
 
7.5%
L 2
 
3.8%
H 1
 
1.9%
F 1
 
1.9%
Other Punctuation
ValueCountFrequency (%)
. 55
64.7%
/ 27
31.8%
, 3
 
3.5%
Lowercase Letter
ValueCountFrequency (%)
e 4
66.7%
c 1
 
16.7%
a 1
 
16.7%
Space Separator
ValueCountFrequency (%)
17798
100.0%
Open Punctuation
ValueCountFrequency (%)
( 47
100.0%
Close Punctuation
ValueCountFrequency (%)
) 47
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 44272
53.8%
Common 38026
46.2%
Latin 59
 
0.1%
Han 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 5088
 
11.5%
동 3041
 
6.9%
대 2868
 
6.5%
호 2859
 
6.5%
시 2744
 
6.2%
광 2589
 
5.8%
역 2574
 
5.8%
지 2485
 
5.6%
번 2323
 
5.2%
통 1241
 
2.8%
Other values (323) 16460
37.2%
Common
ValueCountFrequency (%)
17798
46.8%
1 4776
 
12.6%
2 3053
 
8.0%
3 2228
 
5.9%
0 2215
 
5.8%
4 1749
 
4.6%
5 1503
 
4.0%
6 1270
 
3.3%
7 1196
 
3.1%
8 1068
 
2.8%
Other values (7) 1170
 
3.1%
Latin
ValueCountFrequency (%)
B 22
37.3%
A 18
30.5%
C 5
 
8.5%
D 4
 
6.8%
e 4
 
6.8%
L 2
 
3.4%
H 1
 
1.7%
c 1
 
1.7%
F 1
 
1.7%
a 1
 
1.7%
Han
ValueCountFrequency (%)
沙 2
50.0%
坪 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 44271
53.8%
ASCII 38085
46.2%
CJK 4
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
17798
46.7%
1 4776
 
12.5%
2 3053
 
8.0%
3 2228
 
5.9%
0 2215
 
5.8%
4 1749
 
4.6%
5 1503
 
3.9%
6 1270
 
3.3%
7 1196
 
3.1%
8 1068
 
2.8%
Other values (17) 1229
 
3.2%
Hangul
ValueCountFrequency (%)
구 5088
 
11.5%
동 3041
 
6.9%
대 2868
 
6.5%
호 2859
 
6.5%
시 2744
 
6.2%
광 2589
 
5.8%
역 2574
 
5.8%
지 2485
 
5.6%
번 2323
 
5.2%
통 1241
 
2.8%
Other values (322) 16459
37.2%
CJK
ValueCountFrequency (%)
沙 2
50.0%
坪 2
50.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%

도로명전체주소
Text

MISSING 

Distinct1835
Distinct (%)90.4%
Missing766
Missing (%)27.4%
Memory size22.0 KiB
2024-04-21T12:08:11.167442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length46
Mean length28.533498
Min length19

Characters and Unicode

Total characters57923
Distinct characters351
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1682 ?
Unique (%)82.9%

Sample

1st row대구광역시 중구 명륜로21길 44 (남산동)
2nd row대구광역시 북구 관음중앙로34길 11-8, C동 101호 (읍내동,해원선빌리지)
3rd row대구광역시 수성구 들안로8길 22-22 (두산동)
4th row대구광역시 중구 동덕로 184 (동인동1가)
5th row대구광역시 달서구 야외음악당로8길 69-14, 201호 (성당동,귀빈빌라트)
ValueCountFrequency (%)
대구광역시 1951
 
16.9%
수성구 408
 
3.5%
동구 365
 
3.2%
서구 281
 
2.4%
달서구 267
 
2.3%
2층 263
 
2.3%
북구 201
 
1.7%
남구 192
 
1.7%
중구 150
 
1.3%
대명동 116
 
1.0%
Other values (2467) 7333
63.6%
2024-04-21T12:08:13.177519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9504
 
16.4%
구 4083
 
7.0%
동 2849
 
4.9%
대 2513
 
4.3%
1 2127
 
3.7%
시 2049
 
3.5%
로 1982
 
3.4%
광 1969
 
3.4%
역 1961
 
3.4%
( 1919
 
3.3%
Other values (341) 26967
46.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 32838
56.7%
Decimal Number 9826
 
17.0%
Space Separator 9504
 
16.4%
Open Punctuation 1919
 
3.3%
Close Punctuation 1919
 
3.3%
Other Punctuation 1369
 
2.4%
Dash Punctuation 512
 
0.9%
Uppercase Letter 33
 
0.1%
Lowercase Letter 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 4083
 
12.4%
동 2849
 
8.7%
대 2513
 
7.7%
시 2049
 
6.2%
로 1982
 
6.0%
광 1969
 
6.0%
역 1961
 
6.0%
길 909
 
2.8%
성 905
 
2.8%
서 728
 
2.2%
Other values (315) 12890
39.3%
Decimal Number
ValueCountFrequency (%)
1 2127
21.6%
2 1799
18.3%
3 1183
12.0%
0 1073
10.9%
4 795
 
8.1%
5 722
 
7.3%
6 636
 
6.5%
7 558
 
5.7%
8 520
 
5.3%
9 413
 
4.2%
Uppercase Letter
ValueCountFrequency (%)
B 14
42.4%
A 8
24.2%
C 6
18.2%
D 3
 
9.1%
P 1
 
3.0%
S 1
 
3.0%
Other Punctuation
ValueCountFrequency (%)
, 1363
99.6%
. 2
 
0.1%
· 2
 
0.1%
/ 2
 
0.1%
Lowercase Letter
ValueCountFrequency (%)
e 2
66.7%
c 1
33.3%
Space Separator
ValueCountFrequency (%)
9504
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1919
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1919
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 512
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 32838
56.7%
Common 25049
43.2%
Latin 36
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 4083
 
12.4%
동 2849
 
8.7%
대 2513
 
7.7%
시 2049
 
6.2%
로 1982
 
6.0%
광 1969
 
6.0%
역 1961
 
6.0%
길 909
 
2.8%
성 905
 
2.8%
서 728
 
2.2%
Other values (315) 12890
39.3%
Common
ValueCountFrequency (%)
9504
37.9%
1 2127
 
8.5%
( 1919
 
7.7%
) 1919
 
7.7%
2 1799
 
7.2%
, 1363
 
5.4%
3 1183
 
4.7%
0 1073
 
4.3%
4 795
 
3.2%
5 722
 
2.9%
Other values (8) 2645
 
10.6%
Latin
ValueCountFrequency (%)
B 14
38.9%
A 8
22.2%
C 6
16.7%
D 3
 
8.3%
e 2
 
5.6%
P 1
 
2.8%
S 1
 
2.8%
c 1
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 32837
56.7%
ASCII 25083
43.3%
None 2
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9504
37.9%
1 2127
 
8.5%
( 1919
 
7.7%
) 1919
 
7.7%
2 1799
 
7.2%
, 1363
 
5.4%
3 1183
 
4.7%
0 1073
 
4.3%
4 795
 
3.2%
5 722
 
2.9%
Other values (15) 2679
 
10.7%
Hangul
ValueCountFrequency (%)
구 4083
 
12.4%
동 2849
 
8.7%
대 2513
 
7.7%
시 2049
 
6.2%
로 1982
 
6.0%
광 1969
 
6.0%
역 1961
 
6.0%
길 909
 
2.8%
성 905
 
2.8%
서 728
 
2.2%
Other values (314) 12889
39.3%
None
ValueCountFrequency (%)
· 2
100.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct521
Distinct (%)60.3%
Missing1932
Missing (%)69.1%
Infinite0
Infinite (%)0.0%
Mean367135.8
Minimum40110
Maximum719831
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size24.7 KiB
2024-04-21T12:08:13.599955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum40110
5-th percentile41206.15
Q142127.5
median43003
Q3704807
95-th percentile706838
Maximum719831
Range679721
Interquartile range (IQR)662679.5

Descriptive statistics

Standard deviation331310.01
Coefficient of variation (CV)0.90241815
Kurtosis-2.0031151
Mean367135.8
Median Absolute Deviation (MAD)1882.5
Skewness0.037204045
Sum3.1720533 × 108
Variance1.0976632 × 1011
MonotonicityNot monotonic
2024-04-21T12:08:13.948538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
701816 15
 
0.5%
706032 14
 
0.5%
706852 11
 
0.4%
701827 8
 
0.3%
701823 7
 
0.3%
41218 7
 
0.3%
42612 7
 
0.3%
42661 6
 
0.2%
701832 6
 
0.2%
706050 6
 
0.2%
Other values (511) 777
27.8%
(Missing) 1932
69.1%
ValueCountFrequency (%)
40110 1
< 0.1%
41047 1
< 0.1%
41077 1
< 0.1%
41078 1
< 0.1%
41086 1
< 0.1%
41092 1
< 0.1%
41110 1
< 0.1%
41119 1
< 0.1%
41122 1
< 0.1%
41136 1
< 0.1%
ValueCountFrequency (%)
719831 1
 
< 0.1%
711874 3
0.1%
711873 1
 
< 0.1%
711872 4
0.1%
711870 1
 
< 0.1%
711865 1
 
< 0.1%
711856 1
 
< 0.1%
711853 2
0.1%
711851 1
 
< 0.1%
711837 2
0.1%

사업장명
Text

Distinct2344
Distinct (%)83.8%
Missing0
Missing (%)0.0%
Memory size22.0 KiB
2024-04-21T12:08:15.028264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length23
Mean length8.675608
Min length1

Characters and Unicode

Total characters24257
Distinct characters539
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2044 ?
Unique (%)73.1%

Sample

1st row부영어머니회
2nd row글로벌취업정보
3rd row(주)팔공인력
4th row서울인력
5th row성림
ValueCountFrequency (%)
유료직업소개소 439
 
13.0%
직업소개소 45
 
1.3%
주식회사 18
 
0.5%
대한유료직업소개소 9
 
0.3%
대성직업소개소 8
 
0.2%
미래직업소개소 8
 
0.2%
삼성 6
 
0.2%
대림인력개발 6
 
0.2%
신흥 6
 
0.2%
제일 6
 
0.2%
Other values (2310) 2816
83.6%
2024-04-21T12:08:16.370671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
소 4152
17.1%
개 2416
 
10.0%
업 2117
 
8.7%
직 2067
 
8.5%
유 1411
 
5.8%
료 1386
 
5.7%
인 595
 
2.5%
573
 
2.4%
력 536
 
2.2%
발 364
 
1.5%
Other values (529) 8640
35.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 23120
95.3%
Space Separator 573
 
2.4%
Decimal Number 149
 
0.6%
Close Punctuation 145
 
0.6%
Open Punctuation 145
 
0.6%
Uppercase Letter 83
 
0.3%
Lowercase Letter 26
 
0.1%
Other Punctuation 14
 
0.1%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
소 4152
18.0%
개 2416
 
10.4%
업 2117
 
9.2%
직 2067
 
8.9%
유 1411
 
6.1%
료 1386
 
6.0%
인 595
 
2.6%
력 536
 
2.3%
발 364
 
1.6%
대 348
 
1.5%
Other values (475) 7728
33.4%
Uppercase Letter
ValueCountFrequency (%)
K 9
10.8%
O 8
 
9.6%
C 8
 
9.6%
J 7
 
8.4%
S 7
 
8.4%
F 5
 
6.0%
M 5
 
6.0%
H 5
 
6.0%
B 4
 
4.8%
I 4
 
4.8%
Other values (11) 21
25.3%
Lowercase Letter
ValueCountFrequency (%)
o 6
23.1%
e 4
15.4%
k 3
11.5%
s 3
11.5%
n 2
 
7.7%
b 1
 
3.8%
d 1
 
3.8%
h 1
 
3.8%
f 1
 
3.8%
r 1
 
3.8%
Other values (3) 3
11.5%
Decimal Number
ValueCountFrequency (%)
2 37
24.8%
1 34
22.8%
0 16
10.7%
3 15
10.1%
5 12
 
8.1%
8 11
 
7.4%
9 6
 
4.0%
6 6
 
4.0%
4 6
 
4.0%
7 6
 
4.0%
Other Punctuation
ValueCountFrequency (%)
. 10
71.4%
& 2
 
14.3%
' 1
 
7.1%
, 1
 
7.1%
Close Punctuation
ValueCountFrequency (%)
) 144
99.3%
] 1
 
0.7%
Open Punctuation
ValueCountFrequency (%)
( 144
99.3%
[ 1
 
0.7%
Space Separator
ValueCountFrequency (%)
573
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 23120
95.3%
Common 1028
 
4.2%
Latin 109
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
소 4152
18.0%
개 2416
 
10.4%
업 2117
 
9.2%
직 2067
 
8.9%
유 1411
 
6.1%
료 1386
 
6.0%
인 595
 
2.6%
력 536
 
2.3%
발 364
 
1.6%
대 348
 
1.5%
Other values (475) 7728
33.4%
Latin
ValueCountFrequency (%)
K 9
 
8.3%
O 8
 
7.3%
C 8
 
7.3%
J 7
 
6.4%
S 7
 
6.4%
o 6
 
5.5%
F 5
 
4.6%
M 5
 
4.6%
H 5
 
4.6%
e 4
 
3.7%
Other values (24) 45
41.3%
Common
ValueCountFrequency (%)
573
55.7%
) 144
 
14.0%
( 144
 
14.0%
2 37
 
3.6%
1 34
 
3.3%
0 16
 
1.6%
3 15
 
1.5%
5 12
 
1.2%
8 11
 
1.1%
. 10
 
1.0%
Other values (10) 32
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 23120
95.3%
ASCII 1137
 
4.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
소 4152
18.0%
개 2416
 
10.4%
업 2117
 
9.2%
직 2067
 
8.9%
유 1411
 
6.1%
료 1386
 
6.0%
인 595
 
2.6%
력 536
 
2.3%
발 364
 
1.6%
대 348
 
1.5%
Other values (475) 7728
33.4%
ASCII
ValueCountFrequency (%)
573
50.4%
) 144
 
12.7%
( 144
 
12.7%
2 37
 
3.3%
1 34
 
3.0%
0 16
 
1.4%
3 15
 
1.3%
5 12
 
1.1%
8 11
 
1.0%
. 10
 
0.9%
Other values (44) 141
 
12.4%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct2796
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0103641 × 1013
Minimum2.0030304 × 1013
Maximum2.0190627 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size24.7 KiB
2024-04-21T12:08:16.622174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0030304 × 1013
5-th percentile2.0030385 × 1013
Q12.0060622 × 1013
median2.0090421 × 1013
Q32.0160521 × 1013
95-th percentile2.0190318 × 1013
Maximum2.0190627 × 1013
Range1.6032302 × 1011
Interquartile range (IQR)9.9898716 × 1010

Descriptive statistics

Standard deviation5.3578078 × 1010
Coefficient of variation (CV)0.0026650932
Kurtosis-1.3088239
Mean2.0103641 × 1013
Median Absolute Deviation (MAD)4.0290988 × 1010
Skewness0.3066294
Sum5.6209781 × 1016
Variance2.8706104 × 1021
MonotonicityNot monotonic
2024-04-21T12:08:16.887616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20070515180300 1
 
< 0.1%
20140227173555 1
 
< 0.1%
20150817133158 1
 
< 0.1%
20150903171506 1
 
< 0.1%
20140905171546 1
 
< 0.1%
20140207101123 1
 
< 0.1%
20160817163856 1
 
< 0.1%
20181226105959 1
 
< 0.1%
20190625151039 1
 
< 0.1%
20181128184012 1
 
< 0.1%
Other values (2786) 2786
99.6%
ValueCountFrequency (%)
20030304161134 1
< 0.1%
20030305104137 1
< 0.1%
20030305105817 1
< 0.1%
20030305114323 1
< 0.1%
20030305135811 1
< 0.1%
20030305141336 1
< 0.1%
20030305142128 1
< 0.1%
20030305155915 1
< 0.1%
20030305161510 1
< 0.1%
20030305162153 1
< 0.1%
ValueCountFrequency (%)
20190627180058 1
< 0.1%
20190627175553 1
< 0.1%
20190627171220 1
< 0.1%
20190627165329 1
< 0.1%
20190626153745 1
< 0.1%
20190626135002 1
< 0.1%
20190626134759 1
< 0.1%
20190625151039 1
< 0.1%
20190625150815 1
< 0.1%
20190625144400 1
< 0.1%

데이터갱신구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size22.0 KiB
I
2516 
U
280 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 2516
90.0%
U 280
 
10.0%

Length

2024-04-21T12:08:17.145969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T12:08:17.313437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 2516
90.0%
u 280
 
10.0%

데이터갱신일자
Date

Distinct144
Distinct (%)5.2%
Missing0
Missing (%)0.0%
Memory size22.0 KiB
Minimum2018-08-31 23:59:59
Maximum2019-06-29 02:40:00
2024-04-21T12:08:17.526231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T12:08:17.799735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2796
Missing (%)100.0%
Memory size24.7 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct2103
Distinct (%)80.3%
Missing177
Missing (%)6.3%
Infinite0
Infinite (%)0.0%
Mean342612.73
Minimum168308.9
Maximum545499.31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size24.7 KiB
2024-04-21T12:08:18.049680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum168308.9
5-th percentile331725.75
Q1339924.32
median343393.73
Q3346546.08
95-th percentile354191.79
Maximum545499.31
Range377190.42
Interquartile range (IQR)6621.7595

Descriptive statistics

Standard deviation16405.013
Coefficient of variation (CV)0.047882088
Kurtosis55.948263
Mean342612.73
Median Absolute Deviation (MAD)3286.7599
Skewness-4.1032629
Sum8.9730274 × 108
Variance2.6912445 × 108
MonotonicityNot monotonic
2024-04-21T12:08:18.316785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
344204.522469 12
 
0.4%
338608.236268 6
 
0.2%
352371.984834 6
 
0.2%
346942.691097 6
 
0.2%
340310.448893 6
 
0.2%
345383.649328 6
 
0.2%
346073.04865 6
 
0.2%
344686.259338 5
 
0.2%
338238.522263 5
 
0.2%
343205.435119 5
 
0.2%
Other values (2093) 2556
91.4%
(Missing) 177
 
6.3%
ValueCountFrequency (%)
168308.896349869 1
< 0.1%
171923.902989232 1
< 0.1%
184753.989742 1
< 0.1%
191368.286433161 1
< 0.1%
193719.806848 1
< 0.1%
195986.94989341 1
< 0.1%
198010.182437949 1
< 0.1%
201238.133202766 1
< 0.1%
201310.903586376 1
< 0.1%
201606.233404107 1
< 0.1%
ValueCountFrequency (%)
545499.311939125 1
< 0.1%
430227.541656 1
< 0.1%
420238.805073012 1
< 0.1%
419718.881757105 1
< 0.1%
419583.435362801 1
< 0.1%
416495.66416523 1
< 0.1%
416060.183581531 1
< 0.1%
415393.674471635 1
< 0.1%
412630.642028951 1
< 0.1%
412584.662536249 1
< 0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct2103
Distinct (%)80.3%
Missing177
Missing (%)6.3%
Infinite0
Infinite (%)0.0%
Mean264382.15
Minimum158124.22
Maximum488962.84
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size24.7 KiB
2024-04-21T12:08:18.588065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum158124.22
5-th percentile256979.18
Q1261138.79
median263232.19
Q3265276.25
95-th percentile271053.21
Maximum488962.84
Range330838.62
Interquartile range (IQR)4137.4663

Descriptive statistics

Standard deviation18969.267
Coefficient of variation (CV)0.071749422
Kurtosis67.794084
Mean264382.15
Median Absolute Deviation (MAD)2072.9835
Skewness6.873615
Sum6.9241686 × 108
Variance3.5983308 × 108
MonotonicityNot monotonic
2024-04-21T12:08:18.996420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
265028.313376 12
 
0.4%
259355.47515 6
 
0.2%
266741.708938 6
 
0.2%
263989.847737 6
 
0.2%
265324.291407 6
 
0.2%
267901.294823 6
 
0.2%
264848.319665 6
 
0.2%
263958.880864 5
 
0.2%
257349.098841 5
 
0.2%
261598.284358 5
 
0.2%
Other values (2093) 2556
91.4%
(Missing) 177
 
6.3%
ValueCountFrequency (%)
158124.216614313 1
< 0.1%
177537.623583465 1
< 0.1%
180200.516246681 1
< 0.1%
182245.102093762 1
< 0.1%
186418.353179034 1
< 0.1%
187201.783577746 1
< 0.1%
187432.761894723 1
< 0.1%
187835.921704275 1
< 0.1%
189731.843002717 1
< 0.1%
190121.899476029 1
< 0.1%
ValueCountFrequency (%)
488962.835851351 1
< 0.1%
456413.887015204 1
< 0.1%
453820.523499745 1
< 0.1%
451237.26762392 1
< 0.1%
450775.594404724 1
< 0.1%
449756.675849152 1
< 0.1%
449245.227064126 1
< 0.1%
448123.285204329 1
< 0.1%
448095.301434428 1
< 0.1%
447474.693731311 1
< 0.1%

법인구분명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size22.0 KiB
개인
2682 
법인
 
113
<NA>
 
1

Length

Max length4
Median length2
Mean length2.0007153
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
개인 2682
95.9%
법인 113
 
4.0%
<NA> 1
 
< 0.1%

Length

2024-04-21T12:08:19.482726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T12:08:19.819136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개인 2682
95.9%
법인 113
 
4.0%
na 1
 
< 0.1%

구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size22.0 KiB
유료
2795 
<NA>
 
1

Length

Max length4
Median length2
Mean length2.0007153
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
유료 2795
> 99.9%
<NA> 1
 
< 0.1%

Length

2024-04-21T12:08:20.185385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T12:08:20.514092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유료 2795
> 99.9%
na 1
 
< 0.1%

Sample

번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)법인구분명구분명
01유료직업소개소11_50_02_P3410000200534100131150000320050201<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>대구광역시 동구 효목동 337호 20통 4반 태왕메트로시티 117 509<NA><NA>부영어머니회20070515180300I2018-08-31 23:59:59.0<NA>347950.194975265687.62574개인유료
12유료직업소개소11_50_02_P3410000200534100131150000520050314<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>제주도 제주시 건입동 1242번지 1호 6통 4반 201<NA><NA>글로벌취업정보20070515181208I2018-08-31 23:59:59.0<NA><NA><NA>개인유료
23유료직업소개소11_50_02_P3410000200534100131150000620050407<NA>3폐업40폐업20080403<NA><NA><NA><NA><NA><NA>대구광역시 중구 남산동 916번지 21호 2통 6반대구광역시 중구 명륜로21길 44 (남산동)<NA>(주)팔공인력20080404171954I2018-08-31 23:59:59.0<NA>343981.123502263662.354242법인유료
34유료직업소개소11_50_02_P3410000200334100131150002520030924<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>대구광역시 북구 읍내동 770호 해원선빌리지 C 101대구광역시 북구 관음중앙로34길 11-8, C동 101호 (읍내동,해원선빌리지)<NA>서울인력20070507112905I2018-08-31 23:59:59.0<NA>339815.146563272676.254773개인유료
45유료직업소개소11_50_02_P3410000200334100131150002620030924<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>대구광역시 수성구 두산동 149번지 4호대구광역시 수성구 들안로8길 22-22 (두산동)<NA>성림20070507113135I2018-08-31 23:59:59.0<NA>346234.517147260513.538525개인유료
56유료직업소개소11_50_02_P3410000200334100131150002720031125<NA>3폐업40폐업20120830<NA><NA><NA><NA><NA><NA>대구광역시 중구 동인동1가 293번지 3호 2통 4반대구광역시 중구 동덕로 184 (동인동1가)<NA>원진20120830175738I2018-08-31 23:59:59.0<NA>344839.685337264607.321338개인유료
67유료직업소개소11_50_02_P3410000200334100131150002820031126<NA>3폐업40폐업20101214<NA><NA><NA><NA><NA><NA>대구광역시 달서구 성당동 199번지 12호 14통 5반 귀빈빌라트 201대구광역시 달서구 야외음악당로8길 69-14, 201호 (성당동,귀빈빌라트)<NA>(주)조은인력개발20110127141018I2018-08-31 23:59:59.0<NA>340541.388021261192.929423법인유료
78유료직업소개소11_50_02_P3410000200334100131150002920031126<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>대구광역시 달서구 감삼동 131번지 7호 7통 1반 태양연립 301대구광역시 달서구 감삼길 115, 301호 (감삼동,태양연립)<NA>킹 유료직업소개소20070507103254I2018-08-31 23:59:59.0<NA>339434.55552262188.354147개인유료
89유료직업소개소11_50_02_P3410000200334100131150003020031210<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>대구광역시 달서구 송현동 240번지 24호 2통 2반대구광역시 달서구 중흥로5길 20-41 (송현동)<NA>제일20070507112614I2018-08-31 23:59:59.0<NA>340668.892048260098.185169개인유료
910유료직업소개소11_50_02_P3410000200434100131150000120040129<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>대구광역시 수성구 파동 70번지 5호 2통 5반 삼승팔레스빌 501대구광역시 수성구 파동로46길 30, 501호 (파동,삼승팔레스빌)<NA>명문유료직업소개소20070507113203I2018-08-31 23:59:59.0<NA>345736.01601259199.143657개인유료
번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)법인구분명구분명
27862787유료직업소개소11_50_02_P3480000201534803261450000820151204<NA>3폐업40폐업20170630<NA><NA><NA>053 611 7711<NA><NA>대구광역시 달성군 현풍면 원교리 1731번지 60호대구광역시 달성군 현풍면 비슬로132길 343003명성유료직업소개소20170630104122I2018-08-31 23:59:59.0<NA>330102.142167244868.579021개인유료
27872788유료직업소개소11_50_02_P3480000201634803261450000620160630<NA>3폐업40폐업20161012<NA><NA><NA><NA><NA><NA>대구광역시 달성군 다사읍 매곡리 697번지 1호대구광역시 달성군 다사읍 다사로 32-1, 3층42910다사랑유료직업소개소20161012123623I2018-08-31 23:59:59.0<NA>331839.512151263616.392057개인유료
27882789유료직업소개소11_50_02_P3480000201334803121450000120061002<NA>3폐업40폐업20131213<NA><NA><NA><NA><NA>711834대구광역시 달성군 화원읍 천내리 104번지 13호대구광역시 달성군 화원읍 화원로7길 78711834태흥인력개발 유료직업소개소20131213144837I2018-08-31 23:59:59.0<NA>335085.391681257176.063686개인유료
27892790유료직업소개소11_50_02_P3480000201334803261450000120130718<NA>3폐업40폐업20170531<NA><NA><NA>0536144600<NA><NA>대구광역시 달성군 옥포면 기세리 268번지 3호대구광역시 달성군 옥포면 비슬로 2280, 3층42972대경인력개발 유료직업소개소20170531154847I2018-08-31 23:59:59.0<NA>332880.580406255431.094349개인유료
27902791유료직업소개소11_50_02_P3480000201434803261450000320120919<NA>3폐업40폐업20151203<NA><NA><NA><NA><NA>711833대구광역시 달성군 화원읍 설화리 785번지대구광역시 달성군 화원읍 비슬로 2426711833동윤인력 유료직업소개소20151203095211I2018-08-31 23:59:59.0<NA>334171.93448256105.774987개인유료
27912792유료직업소개소11_50_02_P3480000201434803261450000420141126<NA>3폐업40폐업20170518<NA><NA><NA>053 611 0018<NA>711853대구광역시 달성군 논공읍 남리 1072번지대구광역시 달성군 논공읍 논공로7길 30-16711853거성유료직업소개소20170518114226I2018-08-31 23:59:59.0<NA>330036.774848248710.690914개인유료
27922793유료직업소개소11_50_02_P3480000201434803261450000520141209<NA>1영업/정상20영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 현풍면 부리 452번지대구광역시 달성군 현풍면 현풍중앙로 9442999가야인력유료직업소개소20190219153349U2019-02-21 02:40:00.0<NA>330472.771478245132.142998개인유료
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27952796유료직업소개소11_50_02_P3480000201634803261450000820161013<NA>3폐업40폐업20181230<NA><NA><NA><NA><NA><NA>대구광역시 달성군 구지면 창리 428번지 3호대구광역시 달성군 구지면 창리로11길 1343010한울산업인력개발20190104141212U2019-01-06 02:40:00.0<NA>327683.163129240717.492649개인유료