Overview

Dataset statistics

Number of variables30
Number of observations2819
Missing cells26080
Missing cells (%)30.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory710.4 KiB
Average record size in memory258.0 B

Variable types

Numeric10
Categorical9
Unsupported6
Text4
DateTime1

Dataset

Description6270000_대구광역시_11_50_02_P_유료직업소개소_9월
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000068368&dataSetDetailId=DDI_0000068393&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스ID has constant value ""Constant
구분명 has constant value ""Constant
법인구분명 is highly imbalanced (74.9%)Imbalance
인허가취소일자 has 2819 (100.0%) missing valuesMissing
폐업일자 has 1690 (60.0%) missing valuesMissing
휴업시작일자 has 2819 (100.0%) missing valuesMissing
휴업종료일자 has 2819 (100.0%) missing valuesMissing
재개업일자 has 2819 (100.0%) missing valuesMissing
소재지전화 has 2404 (85.3%) missing valuesMissing
소재지면적 has 2819 (100.0%) missing valuesMissing
소재지우편번호 has 2004 (71.1%) missing valuesMissing
도로명전체주소 has 765 (27.1%) missing valuesMissing
도로명우편번호 has 1931 (68.5%) missing valuesMissing
업태구분명 has 2819 (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 81 (2.9%) zerosZeros

Reproduction

Analysis started2023-12-10 20:21:08.769991
Analysis finished2023-12-10 20:21:10.497799
Duration1.73 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct2819
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1410
Minimum1
Maximum2819
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size24.9 KiB
2023-12-11T05:21:10.607818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile141.9
Q1705.5
median1410
Q32114.5
95-th percentile2678.1
Maximum2819
Range2818
Interquartile range (IQR)1409

Descriptive statistics

Standard deviation813.91953
Coefficient of variation (CV)0.57724789
Kurtosis-1.2
Mean1410
Median Absolute Deviation (MAD)705
Skewness0
Sum3974790
Variance662465
MonotonicityStrictly increasing
2023-12-11T05:21:10.844122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
1764 1
 
< 0.1%
1876 1
 
< 0.1%
1877 1
 
< 0.1%
1878 1
 
< 0.1%
1879 1
 
< 0.1%
1880 1
 
< 0.1%
1881 1
 
< 0.1%
1882 1
 
< 0.1%
1883 1
 
< 0.1%
Other values (2809) 2809
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 (%)
2819 1
< 0.1%
2818 1
< 0.1%
2817 1
< 0.1%
2816 1
< 0.1%
2815 1
< 0.1%
2814 1
< 0.1%
2813 1
< 0.1%
2812 1
< 0.1%
2811 1
< 0.1%
2810 1
< 0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size22.2 KiB
유료직업소개소
2819 

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 2819
100.0%

Length

2023-12-11T05:21:11.042034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:21:11.199247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유료직업소개소 2819
100.0%

개방서비스ID
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size22.2 KiB
11_50_02_P
2819 

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 2819
100.0%

Length

2023-12-11T05:21:11.358208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:21:11.510837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
11_50_02_p 2819
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3443128.8
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size24.9 KiB
2023-12-11T05:21:11.646298image/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 deviation23116.057
Coefficient of variation (CV)0.0067136779
Kurtosis-1.5071726
Mean3443128.8
Median Absolute Deviation (MAD)20000
Skewness-0.095742984
Sum9.70618 × 109
Variance5.3435211 × 108
MonotonicityIncreasing
2023-12-11T05:21:11.870161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3470000 622
22.1%
3460000 510
18.1%
3420000 456
16.2%
3410000 441
15.6%
3430000 302
10.7%
3440000 222
 
7.9%
3450000 177
 
6.3%
3480000 89
 
3.2%
ValueCountFrequency (%)
3410000 441
15.6%
3420000 456
16.2%
3430000 302
10.7%
3440000 222
 
7.9%
3450000 177
 
6.3%
3460000 510
18.1%
3470000 622
22.1%
3480000 89
 
3.2%
ValueCountFrequency (%)
3480000 89
 
3.2%
3470000 622
22.1%
3460000 510
18.1%
3450000 177
 
6.3%
3440000 222
 
7.9%
3430000 302
10.7%
3420000 456
16.2%
3410000 441
15.6%

관리번호
Real number (ℝ)

UNIQUE 

Distinct2819
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0067849 × 1018
Minimum1.968341 × 1018
Maximum2.019348 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size24.9 KiB
2023-12-11T05:21:12.248764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.968341 × 1018
5-th percentile1.9983439 × 1018
Q12.002347 × 1018
median2.005347 × 1018
Q32.011344 × 1018
95-th percentile2.0183421 × 1018
Maximum2.019348 × 1018
Range5.1007029 × 1016
Interquartile range (IQR)8.9970017 × 1015

Descriptive statistics

Standard deviation6.7209647 × 1015
Coefficient of variation (CV)0.0033491206
Kurtosis5.7098973
Mean2.0067849 × 1018
Median Absolute Deviation (MAD)3.9959992 × 1015
Skewness-0.95651587
Sum-6.0237892 × 1018
Variance4.5171367 × 1031
MonotonicityNot monotonic
2023-12-11T05:21:12.516413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2002341007911500009 1
 
< 0.1%
2002346006511500055 1
 
< 0.1%
2004346006511500016 1
 
< 0.1%
2004346006511500015 1
 
< 0.1%
2004346006511500014 1
 
< 0.1%
2004346006511500013 1
 
< 0.1%
2010346011314500003 1
 
< 0.1%
2010346007714500013 1
 
< 0.1%
2010346007714500012 1
 
< 0.1%
2010346007714500011 1
 
< 0.1%
Other values (2809) 2809
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 (%)
2019348036514500007 1
< 0.1%
2019348036514500006 1
< 0.1%
2019348036514500005 1
< 0.1%
2019348036514500004 1
< 0.1%
2019348036514500003 1
< 0.1%
2019348036514500002 1
< 0.1%
2019348036514500001 1
< 0.1%
2019347018114500014 1
< 0.1%
2019347018114500013 1
< 0.1%
2019347018114500012 1
< 0.1%

인허가일자
Real number (ℝ)

Distinct1936
Distinct (%)68.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20063456
Minimum19681230
Maximum20190930
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size24.9 KiB
2023-12-11T05:21:12.786055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19681230
5-th percentile19980928
Q120021202
median20051123
Q320110116
95-th percentile20180118
Maximum20190930
Range509700
Interquartile range (IQR)88914

Descriptive statistics

Standard deviation66154.228
Coefficient of variation (CV)0.0032972498
Kurtosis6.1077656
Mean20063456
Median Absolute Deviation (MAD)31011
Skewness-1.0058236
Sum5.6558883 × 1010
Variance4.3763819 × 109
MonotonicityNot monotonic
2023-12-11T05:21:13.040800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19950126 8
 
0.3%
20060901 6
 
0.2%
20020429 6
 
0.2%
20061123 6
 
0.2%
20050318 6
 
0.2%
20061129 6
 
0.2%
20030729 6
 
0.2%
20040221 5
 
0.2%
19980903 5
 
0.2%
20040705 5
 
0.2%
Other values (1926) 2760
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 (%)
20190930 1
< 0.1%
20190925 1
< 0.1%
20190924 1
< 0.1%
20190919 1
< 0.1%
20190910 2
0.1%
20190909 1
< 0.1%
20190902 1
< 0.1%
20190830 2
0.1%
20190828 1
< 0.1%
20190827 1
< 0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2819
Missing (%)100.0%
Memory size24.9 KiB

영업상태구분코드
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size22.2 KiB
3
2098 
1
546 
4
 
175

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 2098
74.4%
1 546
 
19.4%
4 175
 
6.2%

Length

2023-12-11T05:21:13.246892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:21:13.413780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 2098
74.4%
1 546
 
19.4%
4 175
 
6.2%

영업상태명
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size22.2 KiB
폐업
2098 
영업/정상
546 
취소/말소/만료/정지/중지
 
175

Length

Max length14
Median length2
Mean length3.3260021
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 2098
74.4%
영업/정상 546
 
19.4%
취소/말소/만료/정지/중지 175
 
6.2%

Length

2023-12-11T05:21:13.629809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:21:13.788733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 2098
74.4%
영업/정상 546
 
19.4%
취소/말소/만료/정지/중지 175
 
6.2%

상세영업상태코드
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size22.2 KiB
40
2098 
20
546 
70
 
175

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 2098
74.4%
20 546
 
19.4%
70 175
 
6.2%

Length

2023-12-11T05:21:13.946521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:21:14.115323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
40 2098
74.4%
20 546
 
19.4%
70 175
 
6.2%

상세영업상태명
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size22.2 KiB
폐업
2098 
영업중
546 
등록취소
 
175

Length

Max length4
Median length2
Mean length2.3178432
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 2098
74.4%
영업중 546
 
19.4%
등록취소 175
 
6.2%

Length

2023-12-11T05:21:14.301610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:21:14.475235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 2098
74.4%
영업중 546
 
19.4%
등록취소 175
 
6.2%

폐업일자
Real number (ℝ)

MISSING 

Distinct949
Distinct (%)84.1%
Missing1690
Missing (%)60.0%
Infinite0
Infinite (%)0.0%
Mean20111369
Minimum19950714
Maximum20190924
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size24.9 KiB
2023-12-11T05:21:14.668172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19950714
5-th percentile20030507
Q120080418
median20110705
Q320150827
95-th percentile20181221
Maximum20190924
Range240210
Interquartile range (IQR)70409

Descriptive statistics

Standard deviation48244.859
Coefficient of variation (CV)0.0023988848
Kurtosis-0.38572695
Mean20111369
Median Absolute Deviation (MAD)39518
Skewness-0.28896347
Sum2.2705736 × 1010
Variance2.3275664 × 109
MonotonicityNot monotonic
2023-12-11T05:21:14.917182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20040918 8
 
0.3%
20161014 4
 
0.1%
20041022 4
 
0.1%
20090120 4
 
0.1%
20081229 4
 
0.1%
20070723 4
 
0.1%
20130402 3
 
0.1%
20100512 3
 
0.1%
20080612 3
 
0.1%
20160607 3
 
0.1%
Other values (939) 1089
38.6%
(Missing) 1690
60.0%
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 (%)
20190924 2
0.1%
20190916 1
< 0.1%
20190909 1
< 0.1%
20190906 1
< 0.1%
20190905 1
< 0.1%
20190829 1
< 0.1%
20190827 1
< 0.1%
20190823 1
< 0.1%
20190819 2
0.1%
20190812 1
< 0.1%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2819
Missing (%)100.0%
Memory size24.9 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2819
Missing (%)100.0%
Memory size24.9 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2819
Missing (%)100.0%
Memory size24.9 KiB

소재지전화
Text

MISSING 

Distinct399
Distinct (%)96.1%
Missing2404
Missing (%)85.3%
Memory size22.2 KiB
2023-12-11T05:21:15.304502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.554217
Min length7

Characters and Unicode

Total characters4795
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

Unique386 ?
Unique (%)93.0%

Sample

1st row053 255 1190
2nd row053 4230770
3rd row053 524 5000
4th row053 2431001
5th row053 424 0138
ValueCountFrequency (%)
053 359
33.6%
611 13
 
1.2%
761 13
 
1.2%
614 8
 
0.7%
768 7
 
0.7%
424 7
 
0.7%
744 7
 
0.7%
764 7
 
0.7%
766 6
 
0.6%
753 6
 
0.6%
Other values (514) 637
59.5%
2023-12-11T05:21:15.933349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 717
15.0%
704
14.7%
5 702
14.6%
3 612
12.8%
7 362
7.5%
1 341
7.1%
4 312
6.5%
6 309
6.4%
2 302
6.3%
9 238
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4091
85.3%
Space Separator 704
 
14.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 717
17.5%
5 702
17.2%
3 612
15.0%
7 362
8.8%
1 341
8.3%
4 312
7.6%
6 309
7.6%
2 302
7.4%
9 238
 
5.8%
8 196
 
4.8%
Space Separator
ValueCountFrequency (%)
704
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4795
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 717
15.0%
704
14.7%
5 702
14.6%
3 612
12.8%
7 362
7.5%
1 341
7.1%
4 312
6.5%
6 309
6.4%
2 302
6.3%
9 238
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4795
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 717
15.0%
704
14.7%
5 702
14.6%
3 612
12.8%
7 362
7.5%
1 341
7.1%
4 312
6.5%
6 309
6.4%
2 302
6.3%
9 238
 
5.0%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2819
Missing (%)100.0%
Memory size24.9 KiB

소재지우편번호
Real number (ℝ)

MISSING  ZEROS 

Distinct301
Distinct (%)36.9%
Missing2004
Missing (%)71.1%
Infinite0
Infinite (%)0.0%
Mean632861.77
Minimum0
Maximum711891
Zeros81
Zeros (%)2.9%
Negative0
Negative (%)0.0%
Memory size24.9 KiB
2023-12-11T05:21:16.157319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1701818.5
median703046
Q3705032.5
95-th percentile706838
Maximum711891
Range711891
Interquartile range (IQR)3214

Descriptive statistics

Standard deviation211660.69
Coefficient of variation (CV)0.33445012
Kurtosis5.0600334
Mean632861.77
Median Absolute Deviation (MAD)1789
Skewness-2.6523168
Sum5.1578234 × 108
Variance4.4800249 × 1010
MonotonicityNot monotonic
2023-12-11T05:21:16.611506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 81
 
2.9%
703014 23
 
0.8%
703062 19
 
0.7%
706032 18
 
0.6%
703061 17
 
0.6%
703042 15
 
0.5%
700111 15
 
0.5%
703013 14
 
0.5%
701816 14
 
0.5%
701827 11
 
0.4%
Other values (291) 588
 
20.9%
(Missing) 2004
71.1%
ValueCountFrequency (%)
0 81
2.9%
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 (%)
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

Distinct2576
Distinct (%)92.0%
Missing18
Missing (%)0.6%
Memory size22.2 KiB
2023-12-11T05:21:17.119525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length45
Mean length29.580864
Min length1

Characters and Unicode

Total characters82856
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

Unique2397 ?
Unique (%)85.6%

Sample

1st row대구광역시 달서구 송현동 1910번지 34호 5통 4반
2nd row대구광역시 동구 지묘동 85번지 7호 25통 4반 팔공팔래스 201 401
3rd row대구광역시 중구 계산동1가 41호 5통 2반
4th row충청남도 부여군 은산면 거전리 202호 10통
5th row대구광역시 동구 동호동 49호 5통 3반
ValueCountFrequency (%)
대구광역시 2575
 
13.9%
달서구 538
 
2.9%
수성구 473
 
2.6%
동구 410
 
2.2%
1호 363
 
2.0%
서구 332
 
1.8%
북구 248
 
1.3%
남구 242
 
1.3%
중구 211
 
1.1%
1반 203
 
1.1%
Other values (2959) 12927
69.8%
2023-12-11T05:21:17.953686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
17886
21.6%
구 5136
 
6.2%
1 4789
 
5.8%
동 3065
 
3.7%
2 3064
 
3.7%
대 2894
 
3.5%
호 2880
 
3.5%
시 2768
 
3.3%
광 2613
 
3.2%
역 2598
 
3.1%
Other values (352) 35163
42.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 44598
53.8%
Decimal Number 20131
24.3%
Space Separator 17886
21.6%
Other Punctuation 84
 
0.1%
Uppercase Letter 53
 
0.1%
Open Punctuation 46
 
0.1%
Close Punctuation 46
 
0.1%
Dash Punctuation 6
 
< 0.1%
Lowercase Letter 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 5136
 
11.5%
동 3065
 
6.9%
대 2894
 
6.5%
호 2880
 
6.5%
시 2768
 
6.2%
광 2613
 
5.9%
역 2598
 
5.8%
지 2509
 
5.6%
번 2346
 
5.3%
통 1240
 
2.8%
Other values (325) 16549
37.1%
Decimal Number
ValueCountFrequency (%)
1 4789
23.8%
2 3064
15.2%
3 2233
11.1%
0 2220
11.0%
4 1767
 
8.8%
5 1515
 
7.5%
6 1273
 
6.3%
7 1202
 
6.0%
8 1074
 
5.3%
9 994
 
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%
F 1
 
1.9%
H 1
 
1.9%
Other Punctuation
ValueCountFrequency (%)
. 54
64.3%
/ 27
32.1%
, 3
 
3.6%
Lowercase Letter
ValueCountFrequency (%)
e 4
66.7%
c 1
 
16.7%
a 1
 
16.7%
Space Separator
ValueCountFrequency (%)
17886
100.0%
Open Punctuation
ValueCountFrequency (%)
( 46
100.0%
Close Punctuation
ValueCountFrequency (%)
) 46
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 44594
53.8%
Common 38199
46.1%
Latin 59
 
0.1%
Han 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 5136
 
11.5%
동 3065
 
6.9%
대 2894
 
6.5%
호 2880
 
6.5%
시 2768
 
6.2%
광 2613
 
5.9%
역 2598
 
5.8%
지 2509
 
5.6%
번 2346
 
5.3%
통 1240
 
2.8%
Other values (323) 16545
37.1%
Common
ValueCountFrequency (%)
17886
46.8%
1 4789
 
12.5%
2 3064
 
8.0%
3 2233
 
5.8%
0 2220
 
5.8%
4 1767
 
4.6%
5 1515
 
4.0%
6 1273
 
3.3%
7 1202
 
3.1%
8 1074
 
2.8%
Other values (7) 1176
 
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%
c 1
 
1.7%
a 1
 
1.7%
F 1
 
1.7%
H 1
 
1.7%
Han
ValueCountFrequency (%)
坪 2
50.0%
沙 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 44593
53.8%
ASCII 38258
46.2%
CJK 4
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
17886
46.8%
1 4789
 
12.5%
2 3064
 
8.0%
3 2233
 
5.8%
0 2220
 
5.8%
4 1767
 
4.6%
5 1515
 
4.0%
6 1273
 
3.3%
7 1202
 
3.1%
8 1074
 
2.8%
Other values (17) 1235
 
3.2%
Hangul
ValueCountFrequency (%)
구 5136
 
11.5%
동 3065
 
6.9%
대 2894
 
6.5%
호 2880
 
6.5%
시 2768
 
6.2%
광 2613
 
5.9%
역 2598
 
5.8%
지 2509
 
5.6%
번 2346
 
5.3%
통 1240
 
2.8%
Other values (322) 16544
37.1%
CJK
ValueCountFrequency (%)
坪 2
50.0%
沙 2
50.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%

도로명전체주소
Text

MISSING 

Distinct1858
Distinct (%)90.5%
Missing765
Missing (%)27.1%
Memory size22.2 KiB
2023-12-11T05:21:18.554278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length46
Mean length28.526777
Min length19

Characters and Unicode

Total characters58594
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

Unique1704 ?
Unique (%)83.0%

Sample

1st row대구광역시 달서구 송현로16길 61 (송현동)
2nd row대구광역시 중구 국채보상로102길 5-21 (계산동1가)
3rd row충청남도 부여군 은산면 거전로 27
4th row대구광역시 동구 반야월로 226 (동호동)
5th row경기도 성남시 중원구 광명로342번길 21-1 (금광동)
ValueCountFrequency (%)
대구광역시 1976
 
16.9%
수성구 411
 
3.5%
동구 368
 
3.2%
서구 282
 
2.4%
달서구 275
 
2.4%
2층 268
 
2.3%
북구 204
 
1.7%
남구 193
 
1.7%
중구 153
 
1.3%
대명동 117
 
1.0%
Other values (2477) 7422
63.6%
2023-12-11T05:21:19.425239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9622
 
16.4%
구 4136
 
7.1%
동 2879
 
4.9%
대 2545
 
4.3%
1 2142
 
3.7%
시 2074
 
3.5%
로 2005
 
3.4%
광 1994
 
3.4%
역 1986
 
3.4%
) 1939
 
3.3%
Other values (341) 27272
46.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 33231
56.7%
Decimal Number 9927
 
16.9%
Space Separator 9622
 
16.4%
Close Punctuation 1939
 
3.3%
Open Punctuation 1939
 
3.3%
Other Punctuation 1385
 
2.4%
Dash Punctuation 515
 
0.9%
Uppercase Letter 33
 
0.1%
Lowercase Letter 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 4136
 
12.4%
동 2879
 
8.7%
대 2545
 
7.7%
시 2074
 
6.2%
로 2005
 
6.0%
광 1994
 
6.0%
역 1986
 
6.0%
길 917
 
2.8%
성 913
 
2.7%
서 738
 
2.2%
Other values (315) 13044
39.3%
Decimal Number
ValueCountFrequency (%)
1 2142
21.6%
2 1831
18.4%
3 1190
12.0%
0 1086
10.9%
4 806
 
8.1%
5 732
 
7.4%
6 639
 
6.4%
7 564
 
5.7%
8 521
 
5.2%
9 416
 
4.2%
Uppercase Letter
ValueCountFrequency (%)
B 14
42.4%
A 8
24.2%
C 6
18.2%
D 3
 
9.1%
S 1
 
3.0%
P 1
 
3.0%
Other Punctuation
ValueCountFrequency (%)
, 1379
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 (%)
9622
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1939
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1939
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 515
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 33231
56.7%
Common 25327
43.2%
Latin 36
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 4136
 
12.4%
동 2879
 
8.7%
대 2545
 
7.7%
시 2074
 
6.2%
로 2005
 
6.0%
광 1994
 
6.0%
역 1986
 
6.0%
길 917
 
2.8%
성 913
 
2.7%
서 738
 
2.2%
Other values (315) 13044
39.3%
Common
ValueCountFrequency (%)
9622
38.0%
1 2142
 
8.5%
) 1939
 
7.7%
( 1939
 
7.7%
2 1831
 
7.2%
, 1379
 
5.4%
3 1190
 
4.7%
0 1086
 
4.3%
4 806
 
3.2%
5 732
 
2.9%
Other values (8) 2661
 
10.5%
Latin
ValueCountFrequency (%)
B 14
38.9%
A 8
22.2%
C 6
16.7%
D 3
 
8.3%
e 2
 
5.6%
S 1
 
2.8%
P 1
 
2.8%
c 1
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 33230
56.7%
ASCII 25361
43.3%
None 2
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9622
37.9%
1 2142
 
8.4%
) 1939
 
7.6%
( 1939
 
7.6%
2 1831
 
7.2%
, 1379
 
5.4%
3 1190
 
4.7%
0 1086
 
4.3%
4 806
 
3.2%
5 732
 
2.9%
Other values (15) 2695
 
10.6%
Hangul
ValueCountFrequency (%)
구 4136
 
12.4%
동 2879
 
8.7%
대 2545
 
7.7%
시 2074
 
6.2%
로 2005
 
6.0%
광 1994
 
6.0%
역 1986
 
6.0%
길 917
 
2.8%
성 913
 
2.7%
서 738
 
2.2%
Other values (314) 13043
39.3%
None
ValueCountFrequency (%)
· 2
100.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct534
Distinct (%)60.1%
Missing1931
Missing (%)68.5%
Infinite0
Infinite (%)0.0%
Mean356118.06
Minimum41047
Maximum719831
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size24.9 KiB
2023-12-11T05:21:19.749209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41047
5-th percentile41206.35
Q142054.75
median42997
Q3703848
95-th percentile706837.65
Maximum719831
Range678784
Interquartile range (IQR)661793.25

Descriptive statistics

Standard deviation330908.61
Coefficient of variation (CV)0.92921042
Kurtosis-1.9935366
Mean356118.06
Median Absolute Deviation (MAD)1824
Skewness0.10401218
Sum3.1623284 × 108
Variance1.0950051 × 1011
MonotonicityNot monotonic
2023-12-11T05:21:20.033163image/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%
41218 8
 
0.3%
701827 8
 
0.3%
42612 7
 
0.2%
701823 7
 
0.2%
41184 6
 
0.2%
42661 6
 
0.2%
706832 6
 
0.2%
Other values (524) 800
28.4%
(Missing) 1931
68.5%
ValueCountFrequency (%)
41047 1
< 0.1%
41077 1
< 0.1%
41078 1
< 0.1%
41086 1
< 0.1%
41092 1
< 0.1%
41110 1
< 0.1%
41114 1
< 0.1%
41119 1
< 0.1%
41122 2
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

Distinct2360
Distinct (%)83.7%
Missing0
Missing (%)0.0%
Memory size22.2 KiB
2023-12-11T05:21:20.792200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length23
Mean length8.6839305
Min length1

Characters and Unicode

Total characters24480
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

Unique2055 ?
Unique (%)72.9%

Sample

1st row대구아림인력
2nd row새경영
3rd row태성
4th row퀸
5th row서진
ValueCountFrequency (%)
유료직업소개소 446
 
13.1%
직업소개소 45
 
1.3%
주식회사 19
 
0.6%
대한유료직업소개소 9
 
0.3%
미래직업소개소 8
 
0.2%
대성직업소개소 8
 
0.2%
삼성직업소개소 6
 
0.2%
신흥 6
 
0.2%
제일 6
 
0.2%
대림인력개발 6
 
0.2%
Other values (2325) 2841
83.6%
2023-12-11T05:21:21.802439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
소 4182
17.1%
개 2433
 
9.9%
업 2131
 
8.7%
직 2081
 
8.5%
유 1420
 
5.8%
료 1395
 
5.7%
인 606
 
2.5%
583
 
2.4%
력 545
 
2.2%
발 366
 
1.5%
Other values (529) 8738
35.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 23325
95.3%
Space Separator 583
 
2.4%
Decimal Number 149
 
0.6%
Close Punctuation 147
 
0.6%
Open Punctuation 147
 
0.6%
Uppercase Letter 87
 
0.4%
Lowercase Letter 26
 
0.1%
Other Punctuation 14
 
0.1%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
소 4182
17.9%
개 2433
 
10.4%
업 2131
 
9.1%
직 2081
 
8.9%
유 1420
 
6.1%
료 1395
 
6.0%
인 606
 
2.6%
력 545
 
2.3%
발 366
 
1.6%
대 350
 
1.5%
Other values (475) 7816
33.5%
Uppercase Letter
ValueCountFrequency (%)
K 10
11.5%
S 8
 
9.2%
C 8
 
9.2%
O 8
 
9.2%
J 7
 
8.0%
H 6
 
6.9%
F 5
 
5.7%
M 5
 
5.7%
I 4
 
4.6%
B 4
 
4.6%
Other values (11) 22
25.3%
Lowercase Letter
ValueCountFrequency (%)
o 6
23.1%
e 4
15.4%
s 3
11.5%
k 3
11.5%
n 2
 
7.7%
y 1
 
3.8%
h 1
 
3.8%
f 1
 
3.8%
d 1
 
3.8%
b 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%
4 6
 
4.0%
9 6
 
4.0%
7 6
 
4.0%
6 6
 
4.0%
Other Punctuation
ValueCountFrequency (%)
. 10
71.4%
& 2
 
14.3%
, 1
 
7.1%
' 1
 
7.1%
Close Punctuation
ValueCountFrequency (%)
) 146
99.3%
] 1
 
0.7%
Open Punctuation
ValueCountFrequency (%)
( 146
99.3%
[ 1
 
0.7%
Space Separator
ValueCountFrequency (%)
583
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 23325
95.3%
Common 1042
 
4.3%
Latin 113
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
소 4182
17.9%
개 2433
 
10.4%
업 2131
 
9.1%
직 2081
 
8.9%
유 1420
 
6.1%
료 1395
 
6.0%
인 606
 
2.6%
력 545
 
2.3%
발 366
 
1.6%
대 350
 
1.5%
Other values (475) 7816
33.5%
Latin
ValueCountFrequency (%)
K 10
 
8.8%
S 8
 
7.1%
C 8
 
7.1%
O 8
 
7.1%
J 7
 
6.2%
o 6
 
5.3%
H 6
 
5.3%
F 5
 
4.4%
M 5
 
4.4%
I 4
 
3.5%
Other values (24) 46
40.7%
Common
ValueCountFrequency (%)
583
56.0%
) 146
 
14.0%
( 146
 
14.0%
2 37
 
3.6%
1 34
 
3.3%
0 16
 
1.5%
3 15
 
1.4%
5 12
 
1.2%
8 11
 
1.1%
. 10
 
1.0%
Other values (10) 32
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 23325
95.3%
ASCII 1155
 
4.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
소 4182
17.9%
개 2433
 
10.4%
업 2131
 
9.1%
직 2081
 
8.9%
유 1420
 
6.1%
료 1395
 
6.0%
인 606
 
2.6%
력 545
 
2.3%
발 366
 
1.6%
대 350
 
1.5%
Other values (475) 7816
33.5%
ASCII
ValueCountFrequency (%)
583
50.5%
) 146
 
12.6%
( 146
 
12.6%
2 37
 
3.2%
1 34
 
2.9%
0 16
 
1.4%
3 15
 
1.3%
5 12
 
1.0%
8 11
 
1.0%
. 10
 
0.9%
Other values (44) 145
 
12.6%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct2819
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0104896 × 1013
Minimum2.0030304 × 1013
Maximum2.019093 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size24.9 KiB
2023-12-11T05:21:22.036520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0030304 × 1013
5-th percentile2.0030409 × 1013
Q12.006063 × 1013
median2.0090421 × 1013
Q32.0160727 × 1013
95-th percentile2.0190703 × 1013
Maximum2.019093 × 1013
Range1.6062599 × 1011
Interquartile range (IQR)1.00097 × 1011

Descriptive statistics

Standard deviation5.4668524 × 1010
Coefficient of variation (CV)0.0027191648
Kurtosis-1.3240311
Mean2.0104896 × 1013
Median Absolute Deviation (MAD)4.030995 × 1010
Skewness0.30723437
Sum5.6675701 × 1016
Variance2.9886475 × 1021
MonotonicityNot monotonic
2023-12-11T05:21:22.262794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20070508130541 1
 
< 0.1%
20040511150223 1
 
< 0.1%
20050620162638 1
 
< 0.1%
20050629165729 1
 
< 0.1%
20060428174021 1
 
< 0.1%
20050330145432 1
 
< 0.1%
20120913144756 1
 
< 0.1%
20161028093216 1
 
< 0.1%
20120626170956 1
 
< 0.1%
20100929163132 1
 
< 0.1%
Other values (2809) 2809
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 (%)
20190930154506 1
< 0.1%
20190930150932 1
< 0.1%
20190930114721 1
< 0.1%
20190930093228 1
< 0.1%
20190927140109 1
< 0.1%
20190927135529 1
< 0.1%
20190927135051 1
< 0.1%
20190925101218 1
< 0.1%
20190925092809 1
< 0.1%
20190925092727 1
< 0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size22.2 KiB
I
2456 
U
363 

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 2456
87.1%
U 363
 
12.9%

Length

2023-12-11T05:21:22.506203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:21:22.749998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 2456
87.1%
u 363
 
12.9%

데이터갱신일자
Date

Distinct188
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size22.2 KiB
Minimum2018-08-31 23:59:59
Maximum2019-10-02 02:40:00
2023-12-11T05:21:23.109253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T05:21:23.375055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2819
Missing (%)100.0%
Memory size24.9 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct2117
Distinct (%)80.1%
Missing177
Missing (%)6.3%
Infinite0
Infinite (%)0.0%
Mean342605.15
Minimum168308.9
Maximum545499.31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size24.9 KiB
2023-12-11T05:21:23.650174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum168308.9
5-th percentile331687.63
Q1339922.12
median343338.52
Q3346545.82
95-th percentile354160.33
Maximum545499.31
Range377190.42
Interquartile range (IQR)6623.6963

Descriptive statistics

Standard deviation16342.943
Coefficient of variation (CV)0.047701977
Kurtosis56.319351
Mean342605.15
Median Absolute Deviation (MAD)3301.0251
Skewness-4.1127819
Sum9.0516282 × 108
Variance2.670918 × 108
MonotonicityNot monotonic
2023-12-11T05:21:23.939763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
344204.522469 12
 
0.4%
340310.448893 6
 
0.2%
346942.691097 6
 
0.2%
345383.649328 6
 
0.2%
346073.04865 6
 
0.2%
338608.236268 6
 
0.2%
352371.984834 6
 
0.2%
344056.754607 5
 
0.2%
344686.259338 5
 
0.2%
341930.828895 5
 
0.2%
Other values (2107) 2579
91.5%
(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 

Distinct2117
Distinct (%)80.1%
Missing177
Missing (%)6.3%
Infinite0
Infinite (%)0.0%
Mean264363.66
Minimum158124.22
Maximum488962.84
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size24.9 KiB
2023-12-11T05:21:24.198943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum158124.22
5-th percentile256963.34
Q1261140.01
median263233.53
Q3265271.33
95-th percentile271046.96
Maximum488962.84
Range330838.62
Interquartile range (IQR)4131.3139

Descriptive statistics

Standard deviation18896.543
Coefficient of variation (CV)0.071479351
Kurtosis68.290699
Mean264363.66
Median Absolute Deviation (MAD)2069.6441
Skewness6.8947724
Sum6.984488 × 108
Variance3.5707934 × 108
MonotonicityNot monotonic
2023-12-11T05:21:24.412792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
265028.313376 12
 
0.4%
265324.291407 6
 
0.2%
263989.847737 6
 
0.2%
267901.294823 6
 
0.2%
264848.319665 6
 
0.2%
259355.47515 6
 
0.2%
266741.708938 6
 
0.2%
265005.160592 5
 
0.2%
263958.880864 5
 
0.2%
263639.724236 5
 
0.2%
Other values (2107) 2579
91.5%
(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 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size22.2 KiB
개인
2701 
법인
 
118

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 2701
95.8%
법인 118
 
4.2%

Length

2023-12-11T05:21:24.661513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:21:24.827822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개인 2701
95.8%
법인 118
 
4.2%

구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size22.2 KiB
유료
2819 

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 2819
100.0%

Length

2023-12-11T05:21:24.983697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:21:25.136064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유료 2819
100.0%

Sample

번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)법인구분명구분명
01유료직업소개소11_50_02_P3410000200234100791150000920020518<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>대구광역시 달서구 송현동 1910번지 34호 5통 4반대구광역시 달서구 송현로16길 61 (송현동)<NA>대구아림인력20070508130541I2018-08-31 23:59:59.0<NA>339569.409994259620.508782개인유료
12유료직업소개소11_50_02_P3410000200234100791150000820020619<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>대구광역시 동구 지묘동 85번지 7호 25통 4반 팔공팔래스 201 401<NA><NA>새경영20070508102918I2018-08-31 23:59:59.0<NA>348437.024954272888.492047개인유료
23유료직업소개소11_50_02_P3410000200234100791150000720020117<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 계산동1가 41호 5통 2반대구광역시 중구 국채보상로102길 5-21 (계산동1가)<NA>태성20070508102624I2018-08-31 23:59:59.0<NA>343191.632926264462.438983개인유료
34유료직업소개소11_50_02_P3410000200234100791150000620020311<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>충청남도 부여군 은산면 거전리 202호 10통충청남도 부여군 은산면 거전로 27<NA>퀸20070507181408I2018-08-31 23:59:59.0<NA>184753.989742318390.069867개인유료
45유료직업소개소11_50_02_P3410000200234100791150000520020419<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>대구광역시 동구 동호동 49호 5통 3반대구광역시 동구 반야월로 226 (동호동)<NA>서진20070507175853I2018-08-31 23:59:59.0<NA>354651.03953264896.143417개인유료
56유료직업소개소11_50_02_P3410000200234100791150000420020123<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>경기도 성남시중원구 금광동 1559호 16통경기도 성남시 중원구 광명로342번길 21-1 (금광동)<NA>교보컨설팅20070507173742I2018-08-31 23:59:59.0<NA>214524.488513438023.014695개인유료
67유료직업소개소11_50_02_P3410000200234100791150000320020105<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 동인동4가 444번지 4호 10통 6반대구광역시 중구 국채보상로 736-6 (동인동4가)<NA>대우인력개발20070507171027I2018-08-31 23:59:59.0<NA>345422.908159264310.188203개인유료
78유료직업소개소11_50_02_P3410000200234100791150000220020410<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 태평로1가 5번지 7호 3통 2반대구광역시 중구 태평로 172-7 (태평로1가)<NA>산울림20070507164951I2018-08-31 23:59:59.0<NA>344109.949288264965.923468개인유료
89유료직업소개소11_50_02_P3410000200234100791150000120021022<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>대구광역시 달서구 월성동 500번지 6호 20통 4반 월성영남맨션 101 1208<NA><NA>돌체20070516090208I2018-08-31 23:59:59.0<NA>338608.236268259355.47515개인유료
910유료직업소개소11_50_02_P3410000200334100131150001020030315<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>대구광역시 서구 평리동 868호 14통 7반대구광역시 서구 통학로 177 (평리동)<NA>제일 유료직업소개소20070507094900I2018-08-31 23:59:59.0<NA>341066.801472265119.685377개인유료
번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)법인구분명구분명
28092810유료직업소개소11_50_02_P3480000201834803651450000520181025<NA>1영업/정상20영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 현풍면 원교리 1087번지 8호대구광역시 달성군 현풍면 비슬로 62443003명보유료직업소개소20190620094027U2019-06-22 02:40:00.0<NA>330222.668606244640.326403개인유료
28102811유료직업소개소11_50_02_P3480000201834803651450000420181025<NA>1영업/정상20영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 다사읍 매곡리 719번지 20호 삼산의원,내과,소아과대구광역시 달성군 다사읍 달구벌대로 800, 삼산의원,내과,소아과42915대한인력개발20181025165040I2018-10-27 02:38:00.0<NA>331730.233891263463.526438개인유료
28112812유료직업소개소11_50_02_P3480000201934803651450000220190328<NA>1영업/정상20영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 화원읍 천내리 281번지 2호대구광역시 달성군 화원읍 사문진로 432-142947조은인력20190521112145U2019-05-23 02:40:00.0<NA>335144.190213257035.204455개인유료
28122813유료직업소개소11_50_02_P3480000201834803581450000220180124<NA>1영업/정상20영업중<NA><NA><NA><NA>053 614 1272<NA><NA>대구광역시 달성군 현풍면 부리 271번지 3호대구광역시 달성군 현풍면 현풍중앙로 10642999쌍용개발용역20190703101209U2019-07-05 02:40:00.0<NA>330388.817428245210.937093개인유료
28132814유료직업소개소11_50_02_P3480000201834803581450000120180103<NA>1영업/정상20영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 화원읍 본리리 93번지 5호대구광역시 달성군 화원읍 명천로17길 23-5, 대림주택 1층 3호42966와이케이 에이전시20190724172737U2019-07-26 02:40:00.0<NA>336248.693677256763.822338개인유료
28142815유료직업소개소11_50_02_P3480000201734803581450000320170714<NA>1영업/정상20영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 현풍면 부리 361번지 1호대구광역시 달성군 현풍면 비슬로134길 141-6 (길목회타운)42998국영20190715150605U2019-07-17 02:40:00.0<NA>330775.994361245080.173571개인유료
28152816유료직업소개소11_50_02_P3480000201734803581450000220170705<NA>1영업/정상20영업중<NA><NA><NA><NA>053 611 7711<NA><NA>대구광역시 달성군 현풍면 원교리 1731번지 60호대구광역시 달성군 현풍면 비슬로132길 343003명성인력20190403173618U2019-04-05 02:40:00.0<NA>330102.142167244868.579021개인유료
28162817유료직업소개소11_50_02_P3480000201634803261450000520160629<NA>1영업/정상20영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 현풍면 하리 249번지 28호대구광역시 달성군 현풍면 비슬로120길 23, 101호43004제일인력20190715150700U2019-07-17 02:40:00.0<NA>330658.653379244623.641022개인유료
28172818유료직업소개소11_50_02_P3480000201634803261450000420160607<NA>1영업/정상20영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 구지면 응암리 1184번지 15호대구광역시 달성군 구지면 과학마을로2길 25-1543009대성산업인력개발20190830091154U2019-09-01 02:40:00.0<NA>330111.303556244716.148763개인유료
28182819유료직업소개소11_50_02_P3480000201634803261450000120160119<NA>1영업/정상20영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 현풍면 신기리 30번지 1호대구광역시 달성군 현풍면 국가산단북로 52542993길용역유료직업소개소20170123135614I2018-08-31 23:59:59.0<NA>330672.010442242280.077651개인유료