Overview

Dataset statistics

Number of variables30
Number of observations3078
Missing cells28291
Missing cells (%)30.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory775.6 KiB
Average record size in memory258.0 B

Variable types

Numeric10
Categorical9
Unsupported6
Text4
DateTime1

Dataset

Description22년05월_6270000_대구광역시_11_50_02_P_유료직업소개소
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000093588&dataSetDetailId=DDI_0000093612&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
구분명 has constant value ""Constant
법인구분명 is highly imbalanced (73.9%)Imbalance
인허가취소일자 has 3078 (100.0%) missing valuesMissing
폐업일자 has 1803 (58.6%) missing valuesMissing
휴업시작일자 has 3078 (100.0%) missing valuesMissing
휴업종료일자 has 3078 (100.0%) missing valuesMissing
재개업일자 has 3078 (100.0%) missing valuesMissing
소재지전화 has 2637 (85.7%) missing valuesMissing
소재지면적 has 3078 (100.0%) missing valuesMissing
소재지우편번호 has 2349 (76.3%) missing valuesMissing
도로명전체주소 has 756 (24.6%) missing valuesMissing
도로명우편번호 has 1916 (62.2%) missing valuesMissing
업태구분명 has 3078 (100.0%) missing valuesMissing
좌표정보(X) has 172 (5.6%) missing valuesMissing
좌표정보(Y) has 172 (5.6%) 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 70 (2.3%) zerosZeros

Reproduction

Analysis started2023-12-10 19:56:31.693917
Analysis finished2023-12-10 19:56:33.119851
Duration1.43 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct3078
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1539.5
Minimum1
Maximum3078
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size27.2 KiB
2023-12-11T04:56:33.224399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile154.85
Q1770.25
median1539.5
Q32308.75
95-th percentile2924.15
Maximum3078
Range3077
Interquartile range (IQR)1538.5

Descriptive statistics

Standard deviation888.68639
Coefficient of variation (CV)0.57725651
Kurtosis-1.2
Mean1539.5
Median Absolute Deviation (MAD)769.5
Skewness0
Sum4738581
Variance789763.5
MonotonicityStrictly increasing
2023-12-11T04:56:33.427871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
1926 1
 
< 0.1%
2048 1
 
< 0.1%
2049 1
 
< 0.1%
2050 1
 
< 0.1%
2051 1
 
< 0.1%
2052 1
 
< 0.1%
2053 1
 
< 0.1%
2054 1
 
< 0.1%
2055 1
 
< 0.1%
Other values (3068) 3068
99.7%
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 (%)
3078 1
< 0.1%
3077 1
< 0.1%
3076 1
< 0.1%
3075 1
< 0.1%
3074 1
< 0.1%
3073 1
< 0.1%
3072 1
< 0.1%
3071 1
< 0.1%
3070 1
< 0.1%
3069 1
< 0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size24.2 KiB
유료직업소개소
3078 

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 3078
100.0%

Length

2023-12-11T04:56:33.631537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:56:33.805954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유료직업소개소 3078
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size24.2 KiB
11_50_02_P
3078 

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 3078
100.0%

Length

2023-12-11T04:56:33.930535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:56:34.048196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
11_50_02_p 3078
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3443512
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size27.2 KiB
2023-12-11T04:56:34.178084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3410000
Q13420000
median3450000
Q33470000
95-th percentile3470000
Maximum3480000
Range70000
Interquartile range (IQR)50000

Descriptive statistics

Standard deviation23025.435
Coefficient of variation (CV)0.0066866137
Kurtosis-1.4864905
Mean3443512
Median Absolute Deviation (MAD)20000
Skewness-0.10288782
Sum1.059913 × 1010
Variance5.3017064 × 108
MonotonicityIncreasing
2023-12-11T04:56:34.356858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3470000 684
22.2%
3460000 532
17.3%
3420000 507
16.5%
3410000 452
14.7%
3430000 323
10.5%
3440000 255
 
8.3%
3450000 214
 
7.0%
3480000 111
 
3.6%
ValueCountFrequency (%)
3410000 452
14.7%
3420000 507
16.5%
3430000 323
10.5%
3440000 255
 
8.3%
3450000 214
 
7.0%
3460000 532
17.3%
3470000 684
22.2%
3480000 111
 
3.6%
ValueCountFrequency (%)
3480000 111
 
3.6%
3470000 684
22.2%
3460000 532
17.3%
3450000 214
 
7.0%
3440000 255
 
8.3%
3430000 323
10.5%
3420000 507
16.5%
3410000 452
14.7%

관리번호
Real number (ℝ)

UNIQUE 

Distinct3078
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0080247 × 1018
Minimum1.968341 × 1018
Maximum2.022348 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size27.2 KiB
2023-12-11T04:56:34.567827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.968341 × 1018
5-th percentile1.998347 × 1018
Q12.003342 × 1018
median2.006346 × 1018
Q32.013347 × 1018
95-th percentile2.020347 × 1018
Maximum2.022348 × 1018
Range5.4007029 × 1016
Interquartile range (IQR)1.0005006 × 1016

Descriptive statistics

Standard deviation7.5726927 × 1015
Coefficient of variation (CV)0.003771215
Kurtosis3.2289801
Mean2.0080247 × 1018
Median Absolute Deviation (MAD)4.0049989 × 1015
Skewness-0.52585896
Sum1.0406763 × 1018
Variance5.7345675 × 1031
MonotonicityNot monotonic
2023-12-11T04:56:34.811473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2001341008011500001 1
 
< 0.1%
2014346012514500013 1
 
< 0.1%
2002346006511500018 1
 
< 0.1%
2002346006511500019 1
 
< 0.1%
2002346006511500021 1
 
< 0.1%
2009346007714500023 1
 
< 0.1%
2009346007714500026 1
 
< 0.1%
2010346011314500008 1
 
< 0.1%
2011346012514500001 1
 
< 0.1%
2011346012514500004 1
 
< 0.1%
Other values (3068) 3068
99.7%
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 (%)
2022348036514500002 1
< 0.1%
2022348036514500001 1
< 0.1%
2022347018114500013 1
< 0.1%
2022347018114500012 1
< 0.1%
2022347018114500011 1
< 0.1%
2022347018114500010 1
< 0.1%
2022347018114500009 1
< 0.1%
2022347018114500008 1
< 0.1%
2022347018114500007 1
< 0.1%
2022347018114500006 1
< 0.1%

인허가일자
Real number (ℝ)

Distinct2115
Distinct (%)68.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20075114
Minimum19681230
Maximum20220531
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size27.2 KiB
2023-12-11T04:56:35.006163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19681230
5-th percentile19981093
Q120030404
median20060620
Q320130282
95-th percentile20200815
Maximum20220531
Range539301
Interquartile range (IQR)99878

Descriptive statistics

Standard deviation74275.287
Coefficient of variation (CV)0.0036998687
Kurtosis3.5567441
Mean20075114
Median Absolute Deviation (MAD)40309
Skewness-0.54936593
Sum6.1791202 × 1010
Variance5.5168183 × 109
MonotonicityNot monotonic
2023-12-11T04:56:35.325004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19950126 8
 
0.3%
20061129 8
 
0.3%
20050318 6
 
0.2%
20061123 6
 
0.2%
20060901 6
 
0.2%
20020429 6
 
0.2%
20070309 6
 
0.2%
20030729 6
 
0.2%
20051226 5
 
0.2%
19980903 5
 
0.2%
Other values (2105) 3016
98.0%
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 (%)
20220531 2
0.1%
20220527 1
 
< 0.1%
20220502 1
 
< 0.1%
20220428 1
 
< 0.1%
20220426 1
 
< 0.1%
20220425 2
0.1%
20220422 1
 
< 0.1%
20220420 3
0.1%
20220418 1
 
< 0.1%
20220415 2
0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3078
Missing (%)100.0%
Memory size27.2 KiB

영업상태구분코드
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size24.2 KiB
3
2242 
1
657 
4
 
179

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4
2nd row4
3rd row4
4th row4
5th row3

Common Values

ValueCountFrequency (%)
3 2242
72.8%
1 657
 
21.3%
4 179
 
5.8%

Length

2023-12-11T04:56:35.595354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:56:35.759925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 2242
72.8%
1 657
 
21.3%
4 179
 
5.8%

영업상태명
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size24.2 KiB
폐업
2242 
영업/정상
657 
취소/말소/만료/정지/중지
 
179

Length

Max length14
Median length2
Mean length3.3382066
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row취소/말소/만료/정지/중지
2nd row취소/말소/만료/정지/중지
3rd row취소/말소/만료/정지/중지
4th row취소/말소/만료/정지/중지
5th row폐업

Common Values

ValueCountFrequency (%)
폐업 2242
72.8%
영업/정상 657
 
21.3%
취소/말소/만료/정지/중지 179
 
5.8%

Length

2023-12-11T04:56:35.945149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:56:36.121567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 2242
72.8%
영업/정상 657
 
21.3%
취소/말소/만료/정지/중지 179
 
5.8%

상세영업상태코드
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size24.2 KiB
40
2242 
20
657 
70
 
179

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row70
2nd row70
3rd row70
4th row70
5th row40

Common Values

ValueCountFrequency (%)
40 2242
72.8%
20 657
 
21.3%
70 179
 
5.8%

Length

2023-12-11T04:56:36.303446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:56:36.453105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
40 2242
72.8%
20 657
 
21.3%
70 179
 
5.8%

상세영업상태명
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size24.2 KiB
폐업
2242 
영업중
657 
등록취소
 
179

Length

Max length4
Median length2
Mean length2.3297596
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 2242
72.8%
영업중 657
 
21.3%
등록취소 179
 
5.8%

Length

2023-12-11T04:56:36.628173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:56:36.821745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 2242
72.8%
영업중 657
 
21.3%
등록취소 179
 
5.8%

폐업일자
Real number (ℝ)

MISSING 

Distinct1074
Distinct (%)84.2%
Missing1803
Missing (%)58.6%
Infinite0
Infinite (%)0.0%
Mean20122830
Minimum19950714
Maximum20220525
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size27.2 KiB
2023-12-11T04:56:37.025975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19950714
5-th percentile20030824
Q120081029
median20120525
Q320170522
95-th percentile20210123
Maximum20220525
Range269811
Interquartile range (IQR)89492.5

Descriptive statistics

Standard deviation54435.323
Coefficient of variation (CV)0.0027051524
Kurtosis-0.62349082
Mean20122830
Median Absolute Deviation (MAD)40208
Skewness-0.18423872
Sum2.5656609 × 1010
Variance2.9632044 × 109
MonotonicityNot monotonic
2023-12-11T04:56:37.257537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20040918 7
 
0.2%
20090120 4
 
0.1%
20041022 4
 
0.1%
20081229 4
 
0.1%
20161014 4
 
0.1%
20070723 4
 
0.1%
20070905 3
 
0.1%
20050212 3
 
0.1%
20160607 3
 
0.1%
20200525 3
 
0.1%
Other values (1064) 1236
40.2%
(Missing) 1803
58.6%
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 1
< 0.1%
19990901 1
< 0.1%
19990928 1
< 0.1%
ValueCountFrequency (%)
20220525 1
< 0.1%
20220520 1
< 0.1%
20220510 1
< 0.1%
20220509 1
< 0.1%
20220414 1
< 0.1%
20220412 1
< 0.1%
20220407 1
< 0.1%
20220405 1
< 0.1%
20220314 2
0.1%
20220221 1
< 0.1%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3078
Missing (%)100.0%
Memory size27.2 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3078
Missing (%)100.0%
Memory size27.2 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3078
Missing (%)100.0%
Memory size27.2 KiB

소재지전화
Text

MISSING 

Distinct418
Distinct (%)94.8%
Missing2637
Missing (%)85.7%
Memory size24.2 KiB
2023-12-11T04:56:37.692801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.510204
Min length5

Characters and Unicode

Total characters5076
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

Unique399 ?
Unique (%)90.5%

Sample

1st row053 422 5006
2nd row053 939 7770
3rd row053 2431001
4th row053 655 8272
5th row053 524 5000
ValueCountFrequency (%)
053 373
33.2%
761 13
 
1.2%
611 13
 
1.2%
614 8
 
0.7%
768 7
 
0.6%
744 7
 
0.6%
424 7
 
0.6%
764 7
 
0.6%
652 6
 
0.5%
766 6
 
0.5%
Other values (534) 677
60.2%
2023-12-11T04:56:38.393247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 768
15.1%
5 753
14.8%
732
14.4%
3 646
12.7%
7 384
7.6%
1 356
7.0%
6 331
6.5%
4 328
6.5%
2 323
6.4%
9 248
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4344
85.6%
Space Separator 732
 
14.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 768
17.7%
5 753
17.3%
3 646
14.9%
7 384
8.8%
1 356
8.2%
6 331
7.6%
4 328
7.6%
2 323
7.4%
9 248
 
5.7%
8 207
 
4.8%
Space Separator
ValueCountFrequency (%)
732
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5076
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 768
15.1%
5 753
14.8%
732
14.4%
3 646
12.7%
7 384
7.6%
1 356
7.0%
6 331
6.5%
4 328
6.5%
2 323
6.4%
9 248
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5076
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 768
15.1%
5 753
14.8%
732
14.4%
3 646
12.7%
7 384
7.6%
1 356
7.0%
6 331
6.5%
4 328
6.5%
2 323
6.4%
9 248
 
4.9%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3078
Missing (%)100.0%
Memory size27.2 KiB

소재지우편번호
Real number (ℝ)

MISSING  ZEROS 

Distinct278
Distinct (%)38.1%
Missing2349
Missing (%)76.3%
Infinite0
Infinite (%)0.0%
Mean635057.3
Minimum0
Maximum711883
Zeros70
Zeros (%)2.3%
Negative0
Negative (%)0.0%
Memory size27.2 KiB
2023-12-11T04:56:38.635435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1701816
median703042
Q3705032
95-th percentile706840.4
Maximum711883
Range711883
Interquartile range (IQR)3216

Descriptive statistics

Standard deviation208588.88
Coefficient of variation (CV)0.32845678
Kurtosis5.3857308
Mean635057.3
Median Absolute Deviation (MAD)1792
Skewness-2.7121677
Sum4.6295677 × 108
Variance4.350932 × 1010
MonotonicityNot monotonic
2023-12-11T04:56:38.882473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 70
 
2.3%
703014 23
 
0.7%
703062 18
 
0.6%
703061 17
 
0.6%
706032 17
 
0.6%
703042 15
 
0.5%
700111 15
 
0.5%
703013 14
 
0.5%
701816 13
 
0.4%
703016 10
 
0.3%
Other values (268) 517
 
16.8%
(Missing) 2349
76.3%
ValueCountFrequency (%)
0 70
2.3%
110541 1
 
< 0.1%
402843 1
 
< 0.1%
700010 1
 
< 0.1%
700082 1
 
< 0.1%
700091 1
 
< 0.1%
700111 15
 
0.5%
700310 1
 
< 0.1%
700351 3
 
0.1%
700411 1
 
< 0.1%
ValueCountFrequency (%)
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%
711837 1
 
< 0.1%

소재지전체주소
Text

Distinct2814
Distinct (%)92.0%
Missing18
Missing (%)0.6%
Memory size24.2 KiB
2023-12-11T04:56:39.479837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length45
Mean length28.863399
Min length12

Characters and Unicode

Total characters88322
Distinct characters380
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

Unique2616 ?
Unique (%)85.5%

Sample

1st row대구광역시 중구 봉산동 172번지 26호 10통 4반
2nd row대구광역시 달서구 본동 612번지 9호 1통 3반
3rd row대구광역시 수성구 시지동 318번지 1호 4통 8반 경북아파트 3 307
4th row대구광역시 중구 동인동4가 444번지 4호 10통 6반
5th row경상북도 경산시 계양동 692번지 8호 28통 6반 연안골든빌라 A 501
ValueCountFrequency (%)
대구광역시 2838
 
14.4%
달서구 603
 
3.1%
수성구 497
 
2.5%
동구 459
 
2.3%
1호 363
 
1.8%
서구 355
 
1.8%
북구 284
 
1.4%
남구 276
 
1.4%
중구 223
 
1.1%
1반 201
 
1.0%
Other values (3226) 13572
69.0%
2023-12-11T04:56:40.303290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
18773
21.3%
구 5647
 
6.4%
1 5084
 
5.8%
동 3366
 
3.8%
2 3217
 
3.6%
대 3188
 
3.6%
시 3035
 
3.4%
호 2913
 
3.3%
광 2879
 
3.3%
역 2863
 
3.2%
Other values (370) 37357
42.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 47668
54.0%
Decimal Number 21401
24.2%
Space Separator 18773
 
21.3%
Dash Punctuation 233
 
0.3%
Other Punctuation 84
 
0.1%
Uppercase Letter 62
 
0.1%
Close Punctuation 46
 
0.1%
Open Punctuation 46
 
0.1%
Lowercase Letter 9
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 5647
 
11.8%
동 3366
 
7.1%
대 3188
 
6.7%
시 3035
 
6.4%
호 2913
 
6.1%
광 2879
 
6.0%
역 2863
 
6.0%
지 2527
 
5.3%
번 2354
 
4.9%
통 1238
 
2.6%
Other values (338) 17658
37.0%
Uppercase Letter
ValueCountFrequency (%)
B 22
35.5%
A 19
30.6%
C 6
 
9.7%
D 4
 
6.5%
L 2
 
3.2%
M 2
 
3.2%
G 2
 
3.2%
H 1
 
1.6%
Y 1
 
1.6%
T 1
 
1.6%
Other values (2) 2
 
3.2%
Decimal Number
ValueCountFrequency (%)
1 5084
23.8%
2 3217
15.0%
3 2357
11.0%
0 2354
11.0%
4 1880
 
8.8%
5 1628
 
7.6%
6 1377
 
6.4%
7 1282
 
6.0%
8 1159
 
5.4%
9 1063
 
5.0%
Other Punctuation
ValueCountFrequency (%)
. 54
64.3%
/ 27
32.1%
, 3
 
3.6%
Lowercase Letter
ValueCountFrequency (%)
e 7
77.8%
a 1
 
11.1%
c 1
 
11.1%
Space Separator
ValueCountFrequency (%)
18773
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 233
100.0%
Close Punctuation
ValueCountFrequency (%)
) 46
100.0%
Open Punctuation
ValueCountFrequency (%)
( 46
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 47664
54.0%
Common 40583
45.9%
Latin 71
 
0.1%
Han 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 5647
 
11.8%
동 3366
 
7.1%
대 3188
 
6.7%
시 3035
 
6.4%
호 2913
 
6.1%
광 2879
 
6.0%
역 2863
 
6.0%
지 2527
 
5.3%
번 2354
 
4.9%
통 1238
 
2.6%
Other values (336) 17654
37.0%
Common
ValueCountFrequency (%)
18773
46.3%
1 5084
 
12.5%
2 3217
 
7.9%
3 2357
 
5.8%
0 2354
 
5.8%
4 1880
 
4.6%
5 1628
 
4.0%
6 1377
 
3.4%
7 1282
 
3.2%
8 1159
 
2.9%
Other values (7) 1472
 
3.6%
Latin
ValueCountFrequency (%)
B 22
31.0%
A 19
26.8%
e 7
 
9.9%
C 6
 
8.5%
D 4
 
5.6%
L 2
 
2.8%
M 2
 
2.8%
G 2
 
2.8%
H 1
 
1.4%
Y 1
 
1.4%
Other values (5) 5
 
7.0%
Han
ValueCountFrequency (%)
坪 2
50.0%
沙 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 47663
54.0%
ASCII 40654
46.0%
CJK 4
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
18773
46.2%
1 5084
 
12.5%
2 3217
 
7.9%
3 2357
 
5.8%
0 2354
 
5.8%
4 1880
 
4.6%
5 1628
 
4.0%
6 1377
 
3.4%
7 1282
 
3.2%
8 1159
 
2.9%
Other values (22) 1543
 
3.8%
Hangul
ValueCountFrequency (%)
구 5647
 
11.8%
동 3366
 
7.1%
대 3188
 
6.7%
시 3035
 
6.4%
호 2913
 
6.1%
광 2879
 
6.0%
역 2863
 
6.0%
지 2527
 
5.3%
번 2354
 
4.9%
통 1238
 
2.6%
Other values (335) 17653
37.0%
CJK
ValueCountFrequency (%)
坪 2
50.0%
沙 2
50.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%

도로명전체주소
Text

MISSING 

Distinct2103
Distinct (%)90.6%
Missing756
Missing (%)24.6%
Memory size24.2 KiB
2023-12-11T04:56:41.308640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length46
Mean length28.628768
Min length19

Characters and Unicode

Total characters66476
Distinct characters371
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

Unique1928 ?
Unique (%)83.0%

Sample

1st row대구광역시 달서구 학산로7길 71-10 (본동)
2nd row대구광역시 수성구 달구벌대로 3124, 3동 307호 (시지동,경북아파트)
3rd row대구광역시 중구 국채보상로 736-6 (동인동4가)
4th row대구광역시 달서구 중흥로16길 29 (송현동)
5th row대구광역시 달서구 중흥로16길 29 (송현동)
ValueCountFrequency (%)
대구광역시 2243
 
16.9%
수성구 434
 
3.3%
동구 417
 
3.1%
2층 350
 
2.6%
달서구 342
 
2.6%
서구 306
 
2.3%
북구 240
 
1.8%
남구 226
 
1.7%
중구 165
 
1.2%
대명동 138
 
1.0%
Other values (2670) 8450
63.5%
2023-12-11T04:56:42.347174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10996
 
16.5%
구 4689
 
7.1%
동 3236
 
4.9%
대 2903
 
4.4%
1 2442
 
3.7%
시 2348
 
3.5%
로 2274
 
3.4%
광 2264
 
3.4%
역 2256
 
3.4%
) 2185
 
3.3%
Other values (361) 30883
46.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 37634
56.6%
Decimal Number 11249
 
16.9%
Space Separator 10996
 
16.5%
Close Punctuation 2185
 
3.3%
Open Punctuation 2185
 
3.3%
Other Punctuation 1624
 
2.4%
Dash Punctuation 554
 
0.8%
Uppercase Letter 44
 
0.1%
Lowercase Letter 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 4689
 
12.5%
동 3236
 
8.6%
대 2903
 
7.7%
시 2348
 
6.2%
로 2274
 
6.0%
광 2264
 
6.0%
역 2256
 
6.0%
길 1013
 
2.7%
성 995
 
2.6%
서 853
 
2.3%
Other values (331) 14803
39.3%
Decimal Number
ValueCountFrequency (%)
1 2442
21.7%
2 2099
18.7%
3 1358
12.1%
0 1220
10.8%
4 891
 
7.9%
5 804
 
7.1%
6 703
 
6.2%
7 645
 
5.7%
8 595
 
5.3%
9 492
 
4.4%
Uppercase Letter
ValueCountFrequency (%)
B 15
34.1%
A 10
22.7%
C 7
15.9%
D 3
 
6.8%
P 2
 
4.5%
M 2
 
4.5%
G 2
 
4.5%
T 1
 
2.3%
Y 1
 
2.3%
S 1
 
2.3%
Other Punctuation
ValueCountFrequency (%)
, 1619
99.7%
/ 2
 
0.1%
. 2
 
0.1%
· 1
 
0.1%
Lowercase Letter
ValueCountFrequency (%)
e 4
80.0%
c 1
 
20.0%
Space Separator
ValueCountFrequency (%)
10996
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2185
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2185
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 554
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 37634
56.6%
Common 28793
43.3%
Latin 49
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 4689
 
12.5%
동 3236
 
8.6%
대 2903
 
7.7%
시 2348
 
6.2%
로 2274
 
6.0%
광 2264
 
6.0%
역 2256
 
6.0%
길 1013
 
2.7%
성 995
 
2.6%
서 853
 
2.3%
Other values (331) 14803
39.3%
Common
ValueCountFrequency (%)
10996
38.2%
1 2442
 
8.5%
) 2185
 
7.6%
( 2185
 
7.6%
2 2099
 
7.3%
, 1619
 
5.6%
3 1358
 
4.7%
0 1220
 
4.2%
4 891
 
3.1%
5 804
 
2.8%
Other values (8) 2994
 
10.4%
Latin
ValueCountFrequency (%)
B 15
30.6%
A 10
20.4%
C 7
14.3%
e 4
 
8.2%
D 3
 
6.1%
P 2
 
4.1%
M 2
 
4.1%
G 2
 
4.1%
T 1
 
2.0%
Y 1
 
2.0%
Other values (2) 2
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 37633
56.6%
ASCII 28841
43.4%
Compat Jamo 1
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10996
38.1%
1 2442
 
8.5%
) 2185
 
7.6%
( 2185
 
7.6%
2 2099
 
7.3%
, 1619
 
5.6%
3 1358
 
4.7%
0 1220
 
4.2%
4 891
 
3.1%
5 804
 
2.8%
Other values (19) 3042
 
10.5%
Hangul
ValueCountFrequency (%)
구 4689
 
12.5%
동 3236
 
8.6%
대 2903
 
7.7%
시 2348
 
6.2%
로 2274
 
6.0%
광 2264
 
6.0%
역 2256
 
6.0%
길 1013
 
2.7%
성 995
 
2.6%
서 853
 
2.3%
Other values (330) 14802
39.3%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%
None
ValueCountFrequency (%)
· 1
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct635
Distinct (%)54.6%
Missing1916
Missing (%)62.2%
Infinite0
Infinite (%)0.0%
Mean265528.39
Minimum39202
Maximum719831
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size27.2 KiB
2023-12-11T04:56:42.612495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum39202
5-th percentile41184
Q141878
median42661
Q3701829.75
95-th percentile706823.9
Maximum719831
Range680629
Interquartile range (IQR)659951.75

Descriptive statistics

Standard deviation313286.56
Coefficient of variation (CV)1.1798609
Kurtosis-1.5277938
Mean265528.39
Median Absolute Deviation (MAD)1099
Skewness0.68898992
Sum3.0854399 × 108
Variance9.8148468 × 1010
MonotonicityNot monotonic
2023-12-11T04:56:42.983104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
701816 13
 
0.4%
706032 12
 
0.4%
42661 11
 
0.4%
706852 11
 
0.4%
42612 10
 
0.3%
41529 8
 
0.3%
42696 8
 
0.3%
41562 8
 
0.3%
42470 7
 
0.2%
41207 7
 
0.2%
Other values (625) 1067
34.7%
(Missing) 1916
62.2%
ValueCountFrequency (%)
39202 1
< 0.1%
41047 1
< 0.1%
41061 1
< 0.1%
41065 1
< 0.1%
41067 1
< 0.1%
41071 1
< 0.1%
41073 2
0.1%
41078 2
0.1%
41084 1
< 0.1%
41086 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%
711853 2
0.1%
711851 1
 
< 0.1%
711837 2
0.1%
711834 1
 
< 0.1%

사업장명
Text

Distinct2556
Distinct (%)83.0%
Missing0
Missing (%)0.0%
Memory size24.2 KiB
2023-12-11T04:56:43.526108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length20
Mean length8.6611436
Min length1

Characters and Unicode

Total characters26659
Distinct characters549
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2202 ?
Unique (%)71.5%

Sample

1st row명성
2nd row동인 유료직업소개소
3rd row뉴 강일
4th row일하는사람들
5th row대경어머니회
ValueCountFrequency (%)
유료직업소개소 529
 
14.0%
직업소개소 55
 
1.5%
주식회사 27
 
0.7%
대한유료직업소개소 9
 
0.2%
대성직업소개소 8
 
0.2%
미래직업소개소 8
 
0.2%
삼성 7
 
0.2%
어머니회 6
 
0.2%
대림인력개발 6
 
0.2%
제일 6
 
0.2%
Other values (2515) 3124
82.5%
2023-12-11T04:56:44.446778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
소 4460
16.7%
개 2605
 
9.8%
업 2266
 
8.5%
직 2212
 
8.3%
유 1518
 
5.7%
료 1490
 
5.6%
인 714
 
2.7%
709
 
2.7%
력 637
 
2.4%
발 401
 
1.5%
Other values (539) 9647
36.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 25316
95.0%
Space Separator 709
 
2.7%
Open Punctuation 159
 
0.6%
Close Punctuation 159
 
0.6%
Decimal Number 155
 
0.6%
Uppercase Letter 115
 
0.4%
Lowercase Letter 26
 
0.1%
Other Punctuation 17
 
0.1%
Dash Punctuation 2
 
< 0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
소 4460
17.6%
개 2605
 
10.3%
업 2266
 
9.0%
직 2212
 
8.7%
유 1518
 
6.0%
료 1490
 
5.9%
인 714
 
2.8%
력 637
 
2.5%
발 401
 
1.6%
대 375
 
1.5%
Other values (483) 8638
34.1%
Uppercase Letter
ValueCountFrequency (%)
K 15
13.0%
O 12
 
10.4%
S 11
 
9.6%
C 10
 
8.7%
J 9
 
7.8%
H 7
 
6.1%
F 5
 
4.3%
B 5
 
4.3%
E 5
 
4.3%
M 5
 
4.3%
Other values (12) 31
27.0%
Lowercase Letter
ValueCountFrequency (%)
o 6
23.1%
e 4
15.4%
k 3
11.5%
s 3
11.5%
n 2
 
7.7%
h 1
 
3.8%
y 1
 
3.8%
b 1
 
3.8%
d 1
 
3.8%
f 1
 
3.8%
Other values (3) 3
11.5%
Decimal Number
ValueCountFrequency (%)
2 37
23.9%
1 31
20.0%
3 18
11.6%
0 18
11.6%
8 13
 
8.4%
5 13
 
8.4%
7 7
 
4.5%
6 7
 
4.5%
4 6
 
3.9%
9 5
 
3.2%
Other Punctuation
ValueCountFrequency (%)
. 11
64.7%
& 4
 
23.5%
, 1
 
5.9%
' 1
 
5.9%
Open Punctuation
ValueCountFrequency (%)
( 158
99.4%
[ 1
 
0.6%
Close Punctuation
ValueCountFrequency (%)
) 158
99.4%
] 1
 
0.6%
Space Separator
ValueCountFrequency (%)
709
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 25317
95.0%
Common 1201
 
4.5%
Latin 141
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
소 4460
17.6%
개 2605
 
10.3%
업 2266
 
9.0%
직 2212
 
8.7%
유 1518
 
6.0%
료 1490
 
5.9%
인 714
 
2.8%
력 637
 
2.5%
발 401
 
1.6%
대 375
 
1.5%
Other values (484) 8639
34.1%
Latin
ValueCountFrequency (%)
K 15
 
10.6%
O 12
 
8.5%
S 11
 
7.8%
C 10
 
7.1%
J 9
 
6.4%
H 7
 
5.0%
o 6
 
4.3%
F 5
 
3.5%
B 5
 
3.5%
E 5
 
3.5%
Other values (25) 56
39.7%
Common
ValueCountFrequency (%)
709
59.0%
( 158
 
13.2%
) 158
 
13.2%
2 37
 
3.1%
1 31
 
2.6%
3 18
 
1.5%
0 18
 
1.5%
8 13
 
1.1%
5 13
 
1.1%
. 11
 
0.9%
Other values (10) 35
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 25316
95.0%
ASCII 1342
 
5.0%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
소 4460
17.6%
개 2605
 
10.3%
업 2266
 
9.0%
직 2212
 
8.7%
유 1518
 
6.0%
료 1490
 
5.9%
인 714
 
2.8%
력 637
 
2.5%
발 401
 
1.6%
대 375
 
1.5%
Other values (483) 8638
34.1%
ASCII
ValueCountFrequency (%)
709
52.8%
( 158
 
11.8%
) 158
 
11.8%
2 37
 
2.8%
1 31
 
2.3%
3 18
 
1.3%
0 18
 
1.3%
K 15
 
1.1%
8 13
 
1.0%
5 13
 
1.0%
Other values (45) 172
 
12.8%
None
ValueCountFrequency (%)
㈜ 1
100.0%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct3078
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0117962 × 1013
Minimum2.0030304 × 1013
Maximum2.0220531 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size27.2 KiB
2023-12-11T04:56:44.743761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0030304 × 1013
5-th percentile2.0030424 × 1013
Q12.0061216 × 1013
median2.0100404 × 1013
Q32.0190403 × 1013
95-th percentile2.0220124 × 1013
Maximum2.0220531 × 1013
Range1.9022699 × 1011
Interquartile range (IQR)1.291875 × 1011

Descriptive statistics

Standard deviation6.4995613 × 1010
Coefficient of variation (CV)0.0032307255
Kurtosis-1.4264979
Mean2.0117962 × 1013
Median Absolute Deviation (MAD)5.0504522 × 1010
Skewness0.27438555
Sum6.1923088 × 1016
Variance4.2244297 × 1021
MonotonicityNot monotonic
2023-12-11T04:56:45.096348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20070516091920 1
 
< 0.1%
20160803094819 1
 
< 0.1%
20030314144405 1
 
< 0.1%
20030324100810 1
 
< 0.1%
20030314150126 1
 
< 0.1%
20110708174251 1
 
< 0.1%
20191011154450 1
 
< 0.1%
20111229191555 1
 
< 0.1%
20180430114504 1
 
< 0.1%
20111129145445 1
 
< 0.1%
Other values (3068) 3068
99.7%
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 (%)
20220531150324 1
< 0.1%
20220531134255 1
< 0.1%
20220531134216 1
< 0.1%
20220530152545 1
< 0.1%
20220530150242 1
< 0.1%
20220529074008 1
< 0.1%
20220527165323 1
< 0.1%
20220526134144 1
< 0.1%
20220525164914 1
< 0.1%
20220525110808 1
< 0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size24.2 KiB
I
2335 
U
743 

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 2335
75.9%
U 743
 
24.1%

Length

2023-12-11T04:56:45.439092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:56:45.622698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 2335
75.9%
u 743
 
24.1%

데이터갱신일자
Date

Distinct537
Distinct (%)17.4%
Missing0
Missing (%)0.0%
Memory size24.2 KiB
Minimum2018-08-31 23:59:59
Maximum2022-06-02 02:40:00
2023-12-11T04:56:45.844378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T04:56:46.087094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3078
Missing (%)100.0%
Memory size27.2 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct2312
Distinct (%)79.6%
Missing172
Missing (%)5.6%
Infinite0
Infinite (%)0.0%
Mean342657.16
Minimum168308.9
Maximum545499.31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size27.2 KiB
2023-12-11T04:56:46.334847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum168308.9
5-th percentile331323.65
Q1339896.38
median343203.84
Q3346495.58
95-th percentile354183.88
Maximum545499.31
Range377190.42
Interquartile range (IQR)6599.1979

Descriptive statistics

Standard deviation15364.156
Coefficient of variation (CV)0.044838276
Kurtosis60.83704
Mean342657.16
Median Absolute Deviation (MAD)3295.1536
Skewness-4.0392239
Sum9.9576171 × 108
Variance2.360573 × 108
MonotonicityNot monotonic
2023-12-11T04:56:46.600419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
344204.522469 12
 
0.4%
346942.691097 7
 
0.2%
338608.236268 6
 
0.2%
340310.448893 6
 
0.2%
335580.935569 5
 
0.2%
345694.841903 5
 
0.2%
346073.04865 5
 
0.2%
344056.754607 5
 
0.2%
346207.242079 5
 
0.2%
344041.432985 5
 
0.2%
Other values (2302) 2845
92.4%
(Missing) 172
 
5.6%
ValueCountFrequency (%)
168308.896349869 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%
204821.874907167 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 

Distinct2312
Distinct (%)79.6%
Missing172
Missing (%)5.6%
Infinite0
Infinite (%)0.0%
Mean264131.27
Minimum158124.22
Maximum488962.84
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size27.2 KiB
2023-12-11T04:56:46.853833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum158124.22
5-th percentile256427.34
Q1261163.88
median263235.18
Q3265293.77
95-th percentile270736.98
Maximum488962.84
Range330838.62
Interquartile range (IQR)4129.8893

Descriptive statistics

Standard deviation17815.447
Coefficient of variation (CV)0.067449215
Kurtosis76.179331
Mean264131.27
Median Absolute Deviation (MAD)2064.8866
Skewness7.1839221
Sum7.6756547 × 108
Variance3.1739014 × 108
MonotonicityNot monotonic
2023-12-11T04:56:47.117414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
265028.313376 12
 
0.4%
263989.847737 7
 
0.2%
259355.47515 6
 
0.2%
265324.291407 6
 
0.2%
262368.945366 5
 
0.2%
262463.374668 5
 
0.2%
264848.319665 5
 
0.2%
265005.160592 5
 
0.2%
267170.951212 5
 
0.2%
264999.77334 5
 
0.2%
Other values (2302) 2845
92.4%
(Missing) 172
 
5.6%
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 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size24.2 KiB
개인
2942 
법인
 
136

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
개인 2942
95.6%
법인 136
 
4.4%

Length

2023-12-11T04:56:47.351484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:56:47.500082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개인 2942
95.6%
법인 136
 
4.4%

구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size24.2 KiB
유료
3078 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유료 3078
100.0%

Length

2023-12-11T04:56:47.666816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:56:47.827113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유료 3078
100.0%

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)법인구분명구분명
01유료직업소개소11_50_02_P3410000200134100801150000120010804<NA>4취소/말소/만료/정지/중지70등록취소<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 봉산동 172번지 26호 10통 4반<NA><NA>명성20070516091920I2018-08-31 23:59:59.0<NA><NA><NA>개인유료
12유료직업소개소11_50_02_P3410000200234100131150000920020826<NA>4취소/말소/만료/정지/중지70등록취소<NA><NA><NA><NA><NA><NA><NA>대구광역시 달서구 본동 612번지 9호 1통 3반대구광역시 달서구 학산로7길 71-10 (본동)<NA>동인 유료직업소개소20060706142152I2018-08-31 23:59:59.0<NA>338187.7315260482.459709개인유료
23유료직업소개소11_50_02_P3410000200434100131150000620040503<NA>4취소/말소/만료/정지/중지70등록취소<NA><NA><NA><NA><NA><NA><NA>대구광역시 수성구 시지동 318번지 1호 4통 8반 경북아파트 3 307대구광역시 수성구 달구벌대로 3124, 3동 307호 (시지동,경북아파트)<NA>뉴 강일20060630131358I2018-08-31 23:59:59.0<NA>353404.51281261573.750399개인유료
34유료직업소개소11_50_02_P3410000200434100131150001620040821<NA>4취소/말소/만료/정지/중지70등록취소<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 동인동4가 444번지 4호 10통 6반대구광역시 중구 국채보상로 736-6 (동인동4가)<NA>일하는사람들20060706142510I2018-08-31 23:59:59.0<NA>345422.908159264310.188203개인유료
45유료직업소개소11_50_02_P3410000200634100131150000120051228<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>경상북도 경산시 계양동 692번지 8호 28통 6반 연안골든빌라 A 501<NA><NA>대경어머니회20060515151715I2018-08-31 23:59:59.0<NA>358161.206364258744.934021개인유료
56유료직업소개소11_50_02_P3410000200634100131150000220051228<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>대구광역시 수성구 만촌동 605호 24통 6반 만촌보성타운 107 805<NA><NA>(주)북성인력개발20070405184107I2018-08-31 23:59:59.0<NA>348337.430803265015.70761법인유료
67유료직업소개소11_50_02_P3410000200634100131150000320060104<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>부산광역시 해운대구 재송동 1123번지 20호 30통 4반 코오롱아파트 101 303<NA><NA>경상인력20070515181313I2018-08-31 23:59:59.0<NA>394026.819254189731.843003개인유료
78유료직업소개소11_50_02_P3410000200634100131150000620060421<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 화원읍 본리리 113번지 2호 대구본리2단지 203 902<NA><NA>아이모어(주)20070206162038I2018-08-31 23:59:59.0<NA>336461.118773256734.376819법인유료
89유료직업소개소11_50_02_P3410000200634100131150000720060425<NA>3폐업40폐업20110321<NA><NA><NA><NA><NA><NA>대구광역시 달서구 월성동 1261호 24통 5반 월성자이 103 1901<NA><NA>대구간병사 베이비시터회20111202115937I2018-08-31 23:59:59.0<NA>337862.360831259039.012978개인유료
910유료직업소개소11_50_02_P3410000200634100131150000820060502<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 태평로1가 5번지 6 호<NA><NA>신흥유료직업소개소20060502123421I2018-08-31 23:59:59.0<NA><NA><NA>개인유료
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