Overview

Dataset statistics

Number of variables30
Number of observations2907
Missing cells26820
Missing cells (%)30.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory732.6 KiB
Average record size in memory258.0 B

Variable types

Numeric10
Categorical9
Unsupported6
Text4
DateTime1

Dataset

Description6270000_대구광역시_11_50_02_P_유료직업소개소_8월
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000086028&dataSetDetailId=DDI_0000086052&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스ID has constant value ""Constant
구분명 has constant value ""Constant
법인구분명 is highly imbalanced (74.3%)Imbalance
인허가취소일자 has 2907 (100.0%) missing valuesMissing
폐업일자 has 1708 (58.8%) missing valuesMissing
휴업시작일자 has 2907 (100.0%) missing valuesMissing
휴업종료일자 has 2907 (100.0%) missing valuesMissing
재개업일자 has 2907 (100.0%) missing valuesMissing
소재지전화 has 2480 (85.3%) missing valuesMissing
소재지면적 has 2907 (100.0%) missing valuesMissing
소재지우편번호 has 2148 (73.9%) missing valuesMissing
도로명전체주소 has 758 (26.1%) missing valuesMissing
도로명우편번호 has 1922 (66.1%) missing valuesMissing
업태구분명 has 2907 (100.0%) missing valuesMissing
좌표정보(X) has 172 (5.9%) missing valuesMissing
좌표정보(Y) has 172 (5.9%) 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 72 (2.5%) zerosZeros

Reproduction

Analysis started2023-12-10 20:29:19.972773
Analysis finished2023-12-10 20:29:21.432650
Duration1.46 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct2907
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1454
Minimum1
Maximum2907
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size25.7 KiB
2023-12-11T05:29:21.569843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile146.3
Q1727.5
median1454
Q32180.5
95-th percentile2761.7
Maximum2907
Range2906
Interquartile range (IQR)1453

Descriptive statistics

Standard deviation839.32294
Coefficient of variation (CV)0.57725099
Kurtosis-1.2
Mean1454
Median Absolute Deviation (MAD)727
Skewness0
Sum4226778
Variance704463
MonotonicityStrictly increasing
2023-12-11T05:29:21.815136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
1933 1
 
< 0.1%
1935 1
 
< 0.1%
1936 1
 
< 0.1%
1937 1
 
< 0.1%
1938 1
 
< 0.1%
1939 1
 
< 0.1%
1940 1
 
< 0.1%
1941 1
 
< 0.1%
1942 1
 
< 0.1%
Other values (2897) 2897
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 (%)
2907 1
< 0.1%
2906 1
< 0.1%
2905 1
< 0.1%
2904 1
< 0.1%
2903 1
< 0.1%
2902 1
< 0.1%
2901 1
< 0.1%
2900 1
< 0.1%
2899 1
< 0.1%
2898 1
< 0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size22.8 KiB
유료직업소개소
2907 

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 2907
100.0%

Length

2023-12-11T05:29:22.057069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:29:22.241789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유료직업소개소 2907
100.0%

개방서비스ID
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size22.8 KiB
11_50_02_P
2907 

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 2907
100.0%

Length

2023-12-11T05:29:22.688184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:29:22.849230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
11_50_02_p 2907
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3443261.1
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size25.7 KiB
2023-12-11T05:29:23.004021image/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 deviation23109.042
Coefficient of variation (CV)0.0067113824
Kurtosis-1.4996465
Mean3443261.1
Median Absolute Deviation (MAD)20000
Skewness-0.093625574
Sum1.000956 × 1010
Variance5.3402781 × 108
MonotonicityIncreasing
2023-12-11T05:29:23.218435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3470000 639
22.0%
3460000 515
17.7%
3420000 479
16.5%
3410000 443
15.2%
3430000 307
10.6%
3440000 232
 
8.0%
3450000 191
 
6.6%
3480000 101
 
3.5%
ValueCountFrequency (%)
3410000 443
15.2%
3420000 479
16.5%
3430000 307
10.6%
3440000 232
 
8.0%
3450000 191
 
6.6%
3460000 515
17.7%
3470000 639
22.0%
3480000 101
 
3.5%
ValueCountFrequency (%)
3480000 101
 
3.5%
3470000 639
22.0%
3460000 515
17.7%
3450000 191
 
6.6%
3440000 232
 
8.0%
3430000 307
10.6%
3420000 479
16.5%
3410000 443
15.2%

관리번호
Real number (ℝ)

UNIQUE 

Distinct2907
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0072174 × 1018
Minimum1.968341 × 1018
Maximum2.020348 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size25.7 KiB
2023-12-11T05:29:23.460344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.968341 × 1018
5-th percentile1.9983453 × 1018
Q12.003341 × 1018
median2.006342 × 1018
Q32.012342 × 1018
95-th percentile2.019342 × 1018
Maximum2.020348 × 1018
Range5.2007029 × 1016
Interquartile range (IQR)9.0010098 × 1015

Descriptive statistics

Standard deviation7.0223619 × 1015
Coefficient of variation (CV)0.0034985557
Kurtosis4.6783973
Mean2.0072174 × 1018
Median Absolute Deviation (MAD)4.0000032 × 1015
Skewness-0.77372554
Sum5.8098538 × 1018
Variance4.9313567 × 1031
MonotonicityNot monotonic
2023-12-11T05:29:23.757105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2004341001311500023 1
 
< 0.1%
2003346006511500026 1
 
< 0.1%
2003346006511500028 1
 
< 0.1%
2003346006511500029 1
 
< 0.1%
2003346006511500030 1
 
< 0.1%
2003346006511500031 1
 
< 0.1%
2003346006511500032 1
 
< 0.1%
2003346006511500033 1
 
< 0.1%
2011346012514500023 1
 
< 0.1%
2011346012514500025 1
 
< 0.1%
Other values (2897) 2897
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 (%)
2020348036514500011 1
< 0.1%
2020348036514500010 1
< 0.1%
2020348036514500009 1
< 0.1%
2020348036514500008 1
< 0.1%
2020348036514500007 1
< 0.1%
2020348036514500006 1
< 0.1%
2020348036514500005 1
< 0.1%
2020348036514500004 1
< 0.1%
2020348036514500003 1
< 0.1%
2020348036514500002 1
< 0.1%

인허가일자
Real number (ℝ)

Distinct1993
Distinct (%)68.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20067631
Minimum19681230
Maximum20200828
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size25.7 KiB
2023-12-11T05:29:24.010112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19681230
5-th percentile19981009
Q120030124
median20060215
Q320111124
95-th percentile20181220
Maximum20200828
Range519598
Interquartile range (IQR)80999.5

Descriptive statistics

Standard deviation69080.842
Coefficient of variation (CV)0.0034424014
Kurtosis5.0356053
Mean20067631
Median Absolute Deviation (MAD)39893
Skewness-0.81270033
Sum5.8336603 × 1010
Variance4.7721628 × 109
MonotonicityNot monotonic
2023-12-11T05:29:24.272447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19950126 8
 
0.3%
20061129 7
 
0.2%
20030729 6
 
0.2%
20050318 6
 
0.2%
20020429 6
 
0.2%
20060901 6
 
0.2%
20061123 6
 
0.2%
20050502 5
 
0.2%
20051226 5
 
0.2%
20040705 5
 
0.2%
Other values (1983) 2847
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 (%)
20200828 3
0.1%
20200814 2
0.1%
20200803 2
0.1%
20200729 1
 
< 0.1%
20200728 1
 
< 0.1%
20200727 3
0.1%
20200724 1
 
< 0.1%
20200719 1
 
< 0.1%
20200718 1
 
< 0.1%
20200717 4
0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2907
Missing (%)100.0%
Memory size25.7 KiB

영업상태구분코드
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size22.8 KiB
3
2165 
1
562 
4
 
180

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 2165
74.5%
1 562
 
19.3%
4 180
 
6.2%

Length

2023-12-11T05:29:24.507130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:29:24.678160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 2165
74.5%
1 562
 
19.3%
4 180
 
6.2%

영업상태명
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size22.8 KiB
폐업
2165 
영업/정상
562 
취소/말소/만료/정지/중지
 
180

Length

Max length14
Median length2
Mean length3.3230134
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 2165
74.5%
영업/정상 562
 
19.3%
취소/말소/만료/정지/중지 180
 
6.2%

Length

2023-12-11T05:29:24.837032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:29:25.032123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 2165
74.5%
영업/정상 562
 
19.3%
취소/말소/만료/정지/중지 180
 
6.2%

상세영업상태코드
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size22.8 KiB
40
2165 
20
562 
70
 
180

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 2165
74.5%
20 562
 
19.3%
70 180
 
6.2%

Length

2023-12-11T05:29:25.195232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:29:25.345283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
40 2165
74.5%
20 562
 
19.3%
70 180
 
6.2%

상세영업상태명
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size22.8 KiB
폐업
2165 
영업중
562 
등록취소
 
180

Length

Max length4
Median length2
Mean length2.3171655
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 2165
74.5%
영업중 562
 
19.3%
등록취소 180
 
6.2%

Length

2023-12-11T05:29:25.524378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:29:25.689593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 2165
74.5%
영업중 562
 
19.3%
등록취소 180
 
6.2%

폐업일자
Real number (ℝ)

MISSING 

Distinct1008
Distinct (%)84.1%
Missing1708
Missing (%)58.8%
Infinite0
Infinite (%)0.0%
Mean20116734
Minimum19950714
Maximum20200831
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size25.7 KiB
2023-12-11T05:29:25.879386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19950714
5-th percentile20030610
Q120080626
median20111216
Q320160626
95-th percentile20191038
Maximum20200831
Range250117
Interquartile range (IQR)80000.5

Descriptive statistics

Standard deviation51054.155
Coefficient of variation (CV)0.0025378948
Kurtosis-0.50919434
Mean20116734
Median Absolute Deviation (MAD)39687
Skewness-0.25161401
Sum2.4119964 × 1010
Variance2.6065267 × 109
MonotonicityNot monotonic
2023-12-11T05:29:26.160154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20040918 7
 
0.2%
20070723 4
 
0.1%
20161014 4
 
0.1%
20081229 4
 
0.1%
20090120 4
 
0.1%
20041022 4
 
0.1%
20051114 3
 
0.1%
20050212 3
 
0.1%
20101028 3
 
0.1%
20080423 3
 
0.1%
Other values (998) 1160
39.9%
(Missing) 1708
58.8%
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 (%)
20200831 1
< 0.1%
20200819 1
< 0.1%
20200812 1
< 0.1%
20200731 1
< 0.1%
20200710 1
< 0.1%
20200709 1
< 0.1%
20200630 1
< 0.1%
20200629 1
< 0.1%
20200626 1
< 0.1%
20200625 1
< 0.1%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2907
Missing (%)100.0%
Memory size25.7 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2907
Missing (%)100.0%
Memory size25.7 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2907
Missing (%)100.0%
Memory size25.7 KiB

소재지전화
Text

MISSING 

Distinct410
Distinct (%)96.0%
Missing2480
Missing (%)85.3%
Memory size22.8 KiB
2023-12-11T05:29:26.671942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.526932
Min length7

Characters and Unicode

Total characters4922
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

Unique396 ?
Unique (%)92.7%

Sample

1st row4242900
2nd row053 422 5006
3rd row053 422 5082
4th row053 939 7770
5th row053 655 8272
ValueCountFrequency (%)
053 365
33.4%
611 13
 
1.2%
761 13
 
1.2%
614 8
 
0.7%
424 7
 
0.6%
744 7
 
0.6%
768 7
 
0.6%
764 7
 
0.6%
652 6
 
0.5%
753 6
 
0.5%
Other values (526) 654
59.8%
2023-12-11T05:29:27.402384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 739
15.0%
5 729
14.8%
715
14.5%
3 630
12.8%
7 371
7.5%
1 347
7.0%
6 319
6.5%
4 317
6.4%
2 315
6.4%
9 242
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4207
85.5%
Space Separator 715
 
14.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 739
17.6%
5 729
17.3%
3 630
15.0%
7 371
8.8%
1 347
8.2%
6 319
7.6%
4 317
7.5%
2 315
7.5%
9 242
 
5.8%
8 198
 
4.7%
Space Separator
ValueCountFrequency (%)
715
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4922
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 739
15.0%
5 729
14.8%
715
14.5%
3 630
12.8%
7 371
7.5%
1 347
7.0%
6 319
6.5%
4 317
6.4%
2 315
6.4%
9 242
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4922
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 739
15.0%
5 729
14.8%
715
14.5%
3 630
12.8%
7 371
7.5%
1 347
7.0%
6 319
6.5%
4 317
6.4%
2 315
6.4%
9 242
 
4.9%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2907
Missing (%)100.0%
Memory size25.7 KiB

소재지우편번호
Real number (ℝ)

MISSING  ZEROS 

Distinct288
Distinct (%)37.9%
Missing2148
Missing (%)73.9%
Infinite0
Infinite (%)0.0%
Mean635921.26
Minimum0
Maximum711891
Zeros72
Zeros (%)2.5%
Negative0
Negative (%)0.0%
Memory size25.7 KiB
2023-12-11T05:29:27.679247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1701816.5
median703042
Q3705030
95-th percentile706838.4
Maximum711891
Range711891
Interquartile range (IQR)3213.5

Descriptive statistics

Standard deviation207426.09
Coefficient of variation (CV)0.32618204
Kurtosis5.5133725
Mean635921.26
Median Absolute Deviation (MAD)1781
Skewness-2.7356846
Sum4.8266424 × 108
Variance4.3025584 × 1010
MonotonicityNot monotonic
2023-12-11T05:29:27.984988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 72
 
2.5%
703014 23
 
0.8%
703062 18
 
0.6%
703061 17
 
0.6%
706032 17
 
0.6%
700111 15
 
0.5%
703042 15
 
0.5%
703013 14
 
0.5%
701816 13
 
0.4%
701827 11
 
0.4%
Other values (278) 544
 
18.7%
(Missing) 2148
73.9%
ValueCountFrequency (%)
0 72
2.5%
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

Distinct2651
Distinct (%)91.8%
Missing18
Missing (%)0.6%
Memory size22.8 KiB
2023-12-11T05:29:28.682347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length45
Mean length29.377293
Min length12

Characters and Unicode

Total characters84871
Distinct characters367
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

Unique2460 ?
Unique (%)85.2%

Sample

1st row대구광역시 중구 남산동 655번지 26호 5통 4반
2nd row대구광역시 동구 부동 226번지 1호
3rd row대구광역시 서구 내당동 458번지 46 호 대진맨션 307
4th row경상남도 창원시 중앙동 26번지 8호 39통 4반
5th row대구광역시 중구 공평동 14번지 22호 8통 4반
ValueCountFrequency (%)
대구광역시 2666
 
14.1%
달서구 558
 
2.9%
수성구 480
 
2.5%
동구 433
 
2.3%
1호 376
 
2.0%
서구 336
 
1.8%
북구 261
 
1.4%
남구 253
 
1.3%
중구 215
 
1.1%
2층 203
 
1.1%
Other values (3002) 13191
69.5%
2023-12-11T05:29:29.748335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
18245
21.5%
구 5310
 
6.3%
1 4874
 
5.7%
동 3169
 
3.7%
2 3115
 
3.7%
대 2995
 
3.5%
호 2947
 
3.5%
시 2858
 
3.4%
광 2704
 
3.2%
역 2689
 
3.2%
Other values (357) 35965
42.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 45789
54.0%
Decimal Number 20572
24.2%
Space Separator 18245
 
21.5%
Other Punctuation 84
 
0.1%
Uppercase Letter 52
 
0.1%
Open Punctuation 46
 
0.1%
Close Punctuation 46
 
0.1%
Dash Punctuation 30
 
< 0.1%
Lowercase Letter 7
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 5310
 
11.6%
동 3169
 
6.9%
대 2995
 
6.5%
호 2947
 
6.4%
시 2858
 
6.2%
광 2704
 
5.9%
역 2689
 
5.9%
지 2579
 
5.6%
번 2412
 
5.3%
통 1238
 
2.7%
Other values (330) 16888
36.9%
Decimal Number
ValueCountFrequency (%)
1 4874
23.7%
2 3115
15.1%
0 2274
11.1%
3 2271
11.0%
4 1801
 
8.8%
5 1563
 
7.6%
6 1314
 
6.4%
7 1235
 
6.0%
8 1104
 
5.4%
9 1021
 
5.0%
Uppercase Letter
ValueCountFrequency (%)
B 22
42.3%
A 17
32.7%
C 5
 
9.6%
D 4
 
7.7%
L 2
 
3.8%
H 1
 
1.9%
F 1
 
1.9%
Other Punctuation
ValueCountFrequency (%)
. 54
64.3%
/ 27
32.1%
, 3
 
3.6%
Lowercase Letter
ValueCountFrequency (%)
e 5
71.4%
a 1
 
14.3%
c 1
 
14.3%
Space Separator
ValueCountFrequency (%)
18245
100.0%
Open Punctuation
ValueCountFrequency (%)
( 46
100.0%
Close Punctuation
ValueCountFrequency (%)
) 46
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 30
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 45785
53.9%
Common 39023
46.0%
Latin 59
 
0.1%
Han 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 5310
 
11.6%
동 3169
 
6.9%
대 2995
 
6.5%
호 2947
 
6.4%
시 2858
 
6.2%
광 2704
 
5.9%
역 2689
 
5.9%
지 2579
 
5.6%
번 2412
 
5.3%
통 1238
 
2.7%
Other values (328) 16884
36.9%
Common
ValueCountFrequency (%)
18245
46.8%
1 4874
 
12.5%
2 3115
 
8.0%
0 2274
 
5.8%
3 2271
 
5.8%
4 1801
 
4.6%
5 1563
 
4.0%
6 1314
 
3.4%
7 1235
 
3.2%
8 1104
 
2.8%
Other values (7) 1227
 
3.1%
Latin
ValueCountFrequency (%)
B 22
37.3%
A 17
28.8%
e 5
 
8.5%
C 5
 
8.5%
D 4
 
6.8%
L 2
 
3.4%
H 1
 
1.7%
a 1
 
1.7%
c 1
 
1.7%
F 1
 
1.7%
Han
ValueCountFrequency (%)
坪 2
50.0%
沙 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 45784
53.9%
ASCII 39082
46.0%
CJK 4
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
18245
46.7%
1 4874
 
12.5%
2 3115
 
8.0%
0 2274
 
5.8%
3 2271
 
5.8%
4 1801
 
4.6%
5 1563
 
4.0%
6 1314
 
3.4%
7 1235
 
3.2%
8 1104
 
2.8%
Other values (17) 1286
 
3.3%
Hangul
ValueCountFrequency (%)
구 5310
 
11.6%
동 3169
 
6.9%
대 2995
 
6.5%
호 2947
 
6.4%
시 2858
 
6.2%
광 2704
 
5.9%
역 2689
 
5.9%
지 2579
 
5.6%
번 2412
 
5.3%
통 1238
 
2.7%
Other values (327) 16883
36.9%
CJK
ValueCountFrequency (%)
坪 2
50.0%
沙 2
50.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%

도로명전체주소
Text

MISSING 

Distinct1947
Distinct (%)90.6%
Missing758
Missing (%)26.1%
Memory size22.8 KiB
2023-12-11T05:29:30.410486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length46
Mean length28.536529
Min length19

Characters and Unicode

Total characters61325
Distinct characters358
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

Unique1788 ?
Unique (%)83.2%

Sample

1st row대구광역시 중구 중앙대로67길 19-13 (남산동)
2nd row대구광역시 동구 부동길 92 (부동)
3rd row대구광역시 서구 당산로 206, 307호 (내당동,대진맨션)
4th row대구광역시 중구 동성로3길 100-5 (공평동)
5th row대구광역시 달서구 중흥로5길 20-41 (송현동)
ValueCountFrequency (%)
대구광역시 2071
 
16.9%
수성구 417
 
3.4%
동구 390
 
3.2%
달서구 297
 
2.4%
2층 293
 
2.4%
서구 287
 
2.3%
북구 217
 
1.8%
남구 204
 
1.7%
중구 157
 
1.3%
대명동 126
 
1.0%
Other values (2538) 7786
63.6%
2023-12-11T05:29:31.364996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10103
 
16.5%
구 4328
 
7.1%
동 3004
 
4.9%
대 2669
 
4.4%
1 2268
 
3.7%
시 2169
 
3.5%
로 2100
 
3.4%
광 2089
 
3.4%
역 2082
 
3.4%
( 2022
 
3.3%
Other values (348) 28491
46.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 34753
56.7%
Decimal Number 10393
 
16.9%
Space Separator 10103
 
16.5%
Open Punctuation 2022
 
3.3%
Close Punctuation 2022
 
3.3%
Other Punctuation 1461
 
2.4%
Dash Punctuation 534
 
0.9%
Uppercase Letter 33
 
0.1%
Lowercase Letter 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 4328
 
12.5%
동 3004
 
8.6%
대 2669
 
7.7%
시 2169
 
6.2%
로 2100
 
6.0%
광 2089
 
6.0%
역 2082
 
6.0%
길 950
 
2.7%
성 941
 
2.7%
서 774
 
2.2%
Other values (322) 13647
39.3%
Decimal Number
ValueCountFrequency (%)
1 2268
21.8%
2 1922
18.5%
3 1243
12.0%
0 1131
10.9%
4 835
 
8.0%
5 761
 
7.3%
6 661
 
6.4%
7 593
 
5.7%
8 542
 
5.2%
9 437
 
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 (%)
, 1456
99.7%
. 2
 
0.1%
/ 2
 
0.1%
· 1
 
0.1%
Lowercase Letter
ValueCountFrequency (%)
e 3
75.0%
c 1
 
25.0%
Space Separator
ValueCountFrequency (%)
10103
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2022
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2022
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 534
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 34753
56.7%
Common 26535
43.3%
Latin 37
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 4328
 
12.5%
동 3004
 
8.6%
대 2669
 
7.7%
시 2169
 
6.2%
로 2100
 
6.0%
광 2089
 
6.0%
역 2082
 
6.0%
길 950
 
2.7%
성 941
 
2.7%
서 774
 
2.2%
Other values (322) 13647
39.3%
Common
ValueCountFrequency (%)
10103
38.1%
1 2268
 
8.5%
( 2022
 
7.6%
) 2022
 
7.6%
2 1922
 
7.2%
, 1456
 
5.5%
3 1243
 
4.7%
0 1131
 
4.3%
4 835
 
3.1%
5 761
 
2.9%
Other values (8) 2772
 
10.4%
Latin
ValueCountFrequency (%)
B 14
37.8%
A 8
21.6%
C 6
16.2%
D 3
 
8.1%
e 3
 
8.1%
c 1
 
2.7%
S 1
 
2.7%
P 1
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 34752
56.7%
ASCII 26571
43.3%
None 1
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10103
38.0%
1 2268
 
8.5%
( 2022
 
7.6%
) 2022
 
7.6%
2 1922
 
7.2%
, 1456
 
5.5%
3 1243
 
4.7%
0 1131
 
4.3%
4 835
 
3.1%
5 761
 
2.9%
Other values (15) 2808
 
10.6%
Hangul
ValueCountFrequency (%)
구 4328
 
12.5%
동 3004
 
8.6%
대 2669
 
7.7%
시 2169
 
6.2%
로 2100
 
6.0%
광 2089
 
6.0%
역 2082
 
6.0%
길 950
 
2.7%
성 941
 
2.7%
서 774
 
2.2%
Other values (321) 13646
39.3%
None
ValueCountFrequency (%)
· 1
100.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct567
Distinct (%)57.6%
Missing1922
Missing (%)66.1%
Infinite0
Infinite (%)0.0%
Mean317777.33
Minimum41047
Maximum719831
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size25.7 KiB
2023-12-11T05:29:31.635152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41047
5-th percentile41199
Q141972
median42769
Q3702912
95-th percentile706832
Maximum719831
Range678784
Interquartile range (IQR)660940

Descriptive statistics

Standard deviation326633.59
Coefficient of variation (CV)1.0278694
Kurtosis-1.887814
Mean317777.33
Median Absolute Deviation (MAD)1529
Skewness0.3404295
Sum3.1301067 × 108
Variance1.066895 × 1011
MonotonicityNot monotonic
2023-12-11T05:29:31.855013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
701816 14
 
0.5%
706032 13
 
0.4%
706852 11
 
0.4%
701827 8
 
0.3%
42661 8
 
0.3%
701823 7
 
0.2%
41184 7
 
0.2%
41218 7
 
0.2%
42612 7
 
0.2%
706050 6
 
0.2%
Other values (557) 897
30.9%
(Missing) 1922
66.1%
ValueCountFrequency (%)
41047 1
< 0.1%
41071 1
< 0.1%
41078 1
< 0.1%
41084 1
< 0.1%
41086 1
< 0.1%
41091 1
< 0.1%
41092 1
< 0.1%
41110 1
< 0.1%
41114 2
0.1%
41115 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

Distinct2427
Distinct (%)83.5%
Missing0
Missing (%)0.0%
Memory size22.8 KiB
2023-12-11T05:29:32.384778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length23
Mean length8.6632267
Min length1

Characters and Unicode

Total characters25184
Distinct characters543
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

Unique2104 ?
Unique (%)72.4%

Sample

1st row다인유료직업소개소
2nd row신21 유료직업소개소
3rd row신화 유료직업소개소
4th row성림
5th row태왕
ValueCountFrequency (%)
유료직업소개소 474
 
13.4%
직업소개소 48
 
1.4%
주식회사 23
 
0.7%
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 (2388) 2931
83.1%
2023-12-11T05:29:33.118623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
소 4268
16.9%
개 2483
 
9.9%
업 2173
 
8.6%
직 2121
 
8.4%
유 1451
 
5.8%
료 1424
 
5.7%
인 637
 
2.5%
620
 
2.5%
력 572
 
2.3%
발 376
 
1.5%
Other values (533) 9059
36.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 23975
95.2%
Space Separator 620
 
2.5%
Open Punctuation 151
 
0.6%
Close Punctuation 151
 
0.6%
Decimal Number 147
 
0.6%
Uppercase Letter 97
 
0.4%
Lowercase Letter 26
 
0.1%
Other Punctuation 15
 
0.1%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
소 4268
17.8%
개 2483
 
10.4%
업 2173
 
9.1%
직 2121
 
8.8%
유 1451
 
6.1%
료 1424
 
5.9%
인 637
 
2.7%
력 572
 
2.4%
발 376
 
1.6%
대 357
 
1.5%
Other values (478) 8113
33.8%
Uppercase Letter
ValueCountFrequency (%)
K 12
12.4%
O 9
 
9.3%
S 9
 
9.3%
C 8
 
8.2%
J 8
 
8.2%
H 6
 
6.2%
M 5
 
5.2%
B 5
 
5.2%
F 5
 
5.2%
I 4
 
4.1%
Other values (12) 26
26.8%
Lowercase Letter
ValueCountFrequency (%)
o 6
23.1%
e 4
15.4%
k 3
11.5%
s 3
11.5%
n 2
 
7.7%
y 1
 
3.8%
f 1
 
3.8%
h 1
 
3.8%
b 1
 
3.8%
d 1
 
3.8%
Other values (3) 3
11.5%
Decimal Number
ValueCountFrequency (%)
2 36
24.5%
1 33
22.4%
0 16
10.9%
3 15
10.2%
5 12
 
8.2%
8 11
 
7.5%
7 6
 
4.1%
4 6
 
4.1%
6 6
 
4.1%
9 6
 
4.1%
Other Punctuation
ValueCountFrequency (%)
. 11
73.3%
& 2
 
13.3%
' 1
 
6.7%
, 1
 
6.7%
Open Punctuation
ValueCountFrequency (%)
( 150
99.3%
[ 1
 
0.7%
Close Punctuation
ValueCountFrequency (%)
) 150
99.3%
] 1
 
0.7%
Space Separator
ValueCountFrequency (%)
620
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 23975
95.2%
Common 1086
 
4.3%
Latin 123
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
소 4268
17.8%
개 2483
 
10.4%
업 2173
 
9.1%
직 2121
 
8.8%
유 1451
 
6.1%
료 1424
 
5.9%
인 637
 
2.7%
력 572
 
2.4%
발 376
 
1.6%
대 357
 
1.5%
Other values (478) 8113
33.8%
Latin
ValueCountFrequency (%)
K 12
 
9.8%
O 9
 
7.3%
S 9
 
7.3%
C 8
 
6.5%
J 8
 
6.5%
H 6
 
4.9%
o 6
 
4.9%
M 5
 
4.1%
B 5
 
4.1%
F 5
 
4.1%
Other values (25) 50
40.7%
Common
ValueCountFrequency (%)
620
57.1%
( 150
 
13.8%
) 150
 
13.8%
2 36
 
3.3%
1 33
 
3.0%
0 16
 
1.5%
3 15
 
1.4%
5 12
 
1.1%
8 11
 
1.0%
. 11
 
1.0%
Other values (10) 32
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 23975
95.2%
ASCII 1209
 
4.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
소 4268
17.8%
개 2483
 
10.4%
업 2173
 
9.1%
직 2121
 
8.8%
유 1451
 
6.1%
료 1424
 
5.9%
인 637
 
2.7%
력 572
 
2.4%
발 376
 
1.6%
대 357
 
1.5%
Other values (478) 8113
33.8%
ASCII
ValueCountFrequency (%)
620
51.3%
( 150
 
12.4%
) 150
 
12.4%
2 36
 
3.0%
1 33
 
2.7%
0 16
 
1.3%
3 15
 
1.2%
K 12
 
1.0%
5 12
 
1.0%
8 11
 
0.9%
Other values (45) 154
 
12.7%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct2907
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0109648 × 1013
Minimum2.0030304 × 1013
Maximum2.0200831 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size25.7 KiB
2023-12-11T05:29:33.407949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0030304 × 1013
5-th percentile2.0030411 × 1013
Q12.0060822 × 1013
median2.009043 × 1013
Q32.0170812 × 1013
95-th percentile2.0200515 × 1013
Maximum2.0200831 × 1013
Range1.7052695 × 1011
Interquartile range (IQR)1.0999002 × 1011

Descriptive statistics

Standard deviation5.8595788 × 1010
Coefficient of variation (CV)0.0029138147
Kurtosis-1.3734313
Mean2.0109648 × 1013
Median Absolute Deviation (MAD)4.9228015 × 1010
Skewness0.29883501
Sum5.8458746 × 1016
Variance3.4334663 × 1021
MonotonicityNot monotonic
2023-12-11T05:29:33.696724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20070507115836 1
 
< 0.1%
20030726124226 1
 
< 0.1%
20040211152159 1
 
< 0.1%
20041025162846 1
 
< 0.1%
20040709102349 1
 
< 0.1%
20060821110426 1
 
< 0.1%
20040922124531 1
 
< 0.1%
20031124094754 1
 
< 0.1%
20200106173227 1
 
< 0.1%
20120423172031 1
 
< 0.1%
Other values (2897) 2897
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 (%)
20200831113652 1
< 0.1%
20200831094118 1
< 0.1%
20200831091715 1
< 0.1%
20200831090613 1
< 0.1%
20200828151519 1
< 0.1%
20200828114117 1
< 0.1%
20200827131313 1
< 0.1%
20200827095605 1
< 0.1%
20200822080337 1
< 0.1%
20200819150220 1
< 0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size22.8 KiB
I
2361 
U
546 

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 2361
81.2%
U 546
 
18.8%

Length

2023-12-11T05:29:33.934499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:29:34.101162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 2361
81.2%
u 546
 
18.8%

데이터갱신일자
Date

Distinct330
Distinct (%)11.4%
Missing0
Missing (%)0.0%
Memory size22.8 KiB
Minimum2018-08-31 23:59:59
Maximum2020-09-02 02:40:00
2023-12-11T05:29:34.321900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T05:29:34.595770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2907
Missing (%)100.0%
Memory size25.7 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct2182
Distinct (%)79.8%
Missing172
Missing (%)5.9%
Infinite0
Infinite (%)0.0%
Mean342590.53
Minimum168308.9
Maximum545499.31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size25.7 KiB
2023-12-11T05:29:34.857209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum168308.9
5-th percentile331130.23
Q1339887.35
median343296.85
Q3346534.89
95-th percentile354090.05
Maximum545499.31
Range377190.42
Interquartile range (IQR)6647.5394

Descriptive statistics

Standard deviation16099.776
Coefficient of variation (CV)0.046994224
Kurtosis57.825193
Mean342590.53
Median Absolute Deviation (MAD)3326.1212
Skewness-4.1534539
Sum9.3698511 × 108
Variance2.592028 × 108
MonotonicityNot monotonic
2023-12-11T05:29:35.547282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
344204.522469 12
 
0.4%
345383.649328 6
 
0.2%
346073.04865 6
 
0.2%
344686.259338 6
 
0.2%
338608.236268 6
 
0.2%
346942.691097 6
 
0.2%
340310.448893 6
 
0.2%
352371.984834 5
 
0.2%
343205.435119 5
 
0.2%
341930.828895 5
 
0.2%
Other values (2172) 2672
91.9%
(Missing) 172
 
5.9%
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 

Distinct2182
Distinct (%)79.8%
Missing172
Missing (%)5.9%
Infinite0
Infinite (%)0.0%
Mean264283.2
Minimum158124.22
Maximum488962.84
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size25.7 KiB
2023-12-11T05:29:35.785229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum158124.22
5-th percentile256720.26
Q1261153.56
median263238.62
Q3265271.33
95-th percentile271000.33
Maximum488962.84
Range330838.62
Interquartile range (IQR)4117.7629

Descriptive statistics

Standard deviation18617.276
Coefficient of variation (CV)0.070444417
Kurtosis70.211643
Mean264283.2
Median Absolute Deviation (MAD)2062.83
Skewness6.9729369
Sum7.2281455 × 108
Variance3.4660296 × 108
MonotonicityNot monotonic
2023-12-11T05:29:36.057112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
265028.313376 12
 
0.4%
267901.294823 6
 
0.2%
264848.319665 6
 
0.2%
263958.880864 6
 
0.2%
259355.47515 6
 
0.2%
263989.847737 6
 
0.2%
265324.291407 6
 
0.2%
266741.708938 5
 
0.2%
261598.284358 5
 
0.2%
263639.724236 5
 
0.2%
Other values (2172) 2672
91.9%
(Missing) 172
 
5.9%
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 size22.8 KiB
개인
2781 
법인
 
126

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 2781
95.7%
법인 126
 
4.3%

Length

2023-12-11T05:29:36.292970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:29:36.460980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개인 2781
95.7%
법인 126
 
4.3%

구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size22.8 KiB
유료
2907 

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 2907
100.0%

Length

2023-12-11T05:29:36.635719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:29:36.796448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유료 2907
100.0%

Sample

번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)법인구분명구분명
01유료직업소개소11_50_02_P3410000200434100131150002320041118<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 남산동 655번지 26호 5통 4반대구광역시 중구 중앙대로67길 19-13 (남산동)<NA>다인유료직업소개소20070507115836I2018-08-31 23:59:59.0<NA>343718.589177263671.307736개인유료
12유료직업소개소11_50_02_P3410000200634100131150001320060704<NA>3폐업40폐업20080612<NA><NA><NA><NA><NA><NA>대구광역시 동구 부동 226번지 1호대구광역시 동구 부동길 92 (부동)<NA>신21 유료직업소개소20080619093146I2018-08-31 23:59:59.0<NA>352371.984834266741.708938개인유료
23유료직업소개소11_50_02_P3410000200634100611150000120061020<NA>3폐업40폐업20080407<NA><NA><NA><NA><NA><NA>대구광역시 서구 내당동 458번지 46 호 대진맨션 307대구광역시 서구 당산로 206, 307호 (내당동,대진맨션)<NA>신화 유료직업소개소20080407105148I2018-08-31 23:59:59.0<NA>339804.115846262748.82274개인유료
34유료직업소개소11_50_02_P3410000200534100131150000220050121<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>경상남도 창원시 중앙동 26번지 8호 39통 4반<NA><NA>성림20070515180356I2018-08-31 23:59:59.0<NA><NA><NA>개인유료
45유료직업소개소11_50_02_P3410000200534100131150000720050422<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 공평동 14번지 22호 8통 4반대구광역시 중구 동성로3길 100-5 (공평동)<NA>태왕20070515181432I2018-08-31 23:59:59.0<NA>344316.652696264470.771709개인유료
56유료직업소개소11_50_02_P3410000200534100131150000820050531<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>대구광역시 달서구 송현동 240번지 24호 2통 2반대구광역시 달서구 중흥로5길 20-41 (송현동)<NA>제일20061222131649I2018-08-31 23:59:59.0<NA>340668.892048260098.185169개인유료
67유료직업소개소11_50_02_P3410000200534100131150000120050111<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>대구광역시 수성구 지산동 1257호 10통 3반 지산화성맨션 101 1007<NA><NA>(주)대한인력개발20070515181010I2018-08-31 23:59:59.0<NA>347278.348586259519.442238법인유료
78유료직업소개소11_50_02_P3410000200534100131150000920050719<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>대구광역시 동구 부동 226번지 1호 14통 1반대구광역시 동구 부동길 92 (부동)<NA>제21유료직업소개소20070515181252I2018-08-31 23:59:59.0<NA>352371.984834266741.708938개인유료
89유료직업소개소11_50_02_P3410000200534100131150001020051004<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>대구광역시 수성구 범물동 1285호 4통 5반 용지아파트 306 1304<NA><NA>거목20070515181655I2018-08-31 23:59:59.0<NA>348614.815101258914.170763개인유료
910유료직업소개소11_50_02_P3410000200534100131150001120051101<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>대구광역시 동구 방촌동 1084번지 30호 13통 4반 우방강촌마을 103 1402<NA><NA>스피드골프20060428153133I2018-08-31 23:59:59.0<NA>350354.422142265300.046611개인유료
번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)법인구분명구분명
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