Overview

Dataset statistics

Number of variables30
Number of observations3029
Missing cells27868
Missing cells (%)30.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory763.3 KiB
Average record size in memory258.0 B

Variable types

Numeric10
Categorical9
Unsupported6
Text4
DateTime1

Dataset

Description6270000_대구광역시_11_50_02_P_유료직업소개소_12월
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000092039&dataSetDetailId=DDI_0000092069&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 3029 (100.0%) missing valuesMissing
폐업일자 has 1771 (58.5%) missing valuesMissing
휴업시작일자 has 3029 (100.0%) missing valuesMissing
휴업종료일자 has 3029 (100.0%) missing valuesMissing
재개업일자 has 3029 (100.0%) missing valuesMissing
소재지전화 has 2591 (85.5%) missing valuesMissing
소재지면적 has 3029 (100.0%) missing valuesMissing
소재지우편번호 has 2297 (75.8%) missing valuesMissing
도로명전체주소 has 756 (25.0%) missing valuesMissing
도로명우편번호 has 1917 (63.3%) missing valuesMissing
업태구분명 has 3029 (100.0%) missing valuesMissing
좌표정보(X) has 172 (5.7%) missing valuesMissing
좌표정보(Y) has 172 (5.7%) 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 20:03:45.738396
Analysis finished2023-12-10 20:03:47.157929
Duration1.42 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct3029
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1515
Minimum1
Maximum3029
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.8 KiB
2023-12-11T05:03:47.258983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile152.4
Q1758
median1515
Q32272
95-th percentile2877.6
Maximum3029
Range3028
Interquartile range (IQR)1514

Descriptive statistics

Standard deviation874.54131
Coefficient of variation (CV)0.57725499
Kurtosis-1.2
Mean1515
Median Absolute Deviation (MAD)757
Skewness0
Sum4588935
Variance764822.5
MonotonicityStrictly increasing
2023-12-11T05:03:47.690301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
2025 1
 
< 0.1%
2016 1
 
< 0.1%
2017 1
 
< 0.1%
2018 1
 
< 0.1%
2019 1
 
< 0.1%
2020 1
 
< 0.1%
2021 1
 
< 0.1%
2022 1
 
< 0.1%
2023 1
 
< 0.1%
Other values (3019) 3019
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 (%)
3029 1
< 0.1%
3028 1
< 0.1%
3027 1
< 0.1%
3026 1
< 0.1%
3025 1
< 0.1%
3024 1
< 0.1%
3023 1
< 0.1%
3022 1
< 0.1%
3021 1
< 0.1%
3020 1
< 0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size23.8 KiB
유료직업소개소
3029 

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 3029
100.0%

Length

2023-12-11T05:03:47.910431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:03:48.037662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유료직업소개소 3029
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size23.8 KiB
11_50_02_P
3029 

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 3029
100.0%

Length

2023-12-11T05:03:48.185384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:03:48.326159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
11_50_02_p 3029
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3443479.7
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.8 KiB
2023-12-11T05:03:48.467602image/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 deviation23053.868
Coefficient of variation (CV)0.0066949337
Kurtosis-1.4889074
Mean3443479.7
Median Absolute Deviation (MAD)20000
Skewness-0.10366357
Sum1.04303 × 1010
Variance5.3148085 × 108
MonotonicityIncreasing
2023-12-11T05:03:48.654055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3470000 671
22.2%
3460000 528
17.4%
3420000 497
16.4%
3410000 450
14.9%
3430000 317
10.5%
3440000 247
 
8.2%
3450000 210
 
6.9%
3480000 109
 
3.6%
ValueCountFrequency (%)
3410000 450
14.9%
3420000 497
16.4%
3430000 317
10.5%
3440000 247
 
8.2%
3450000 210
 
6.9%
3460000 528
17.4%
3470000 671
22.2%
3480000 109
 
3.6%
ValueCountFrequency (%)
3480000 109
 
3.6%
3470000 671
22.2%
3460000 528
17.4%
3450000 210
 
6.9%
3440000 247
 
8.2%
3430000 317
10.5%
3420000 497
16.4%
3410000 450
14.9%

관리번호
Real number (ℝ)

UNIQUE 

Distinct3029
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0077907 × 1018
Minimum1.968341 × 1018
Maximum2.021348 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.8 KiB
2023-12-11T05:03:48.876195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.968341 × 1018
5-th percentile1.998347 × 1018
Q12.003342 × 1018
median2.006345 × 1018
Q32.013342 × 1018
95-th percentile2.0203446 × 1018
Maximum2.021348 × 1018
Range5.3007029 × 1016
Interquartile range (IQR)1.0000005 × 1016

Descriptive statistics

Standard deviation7.4061161 × 1015
Coefficient of variation (CV)0.0036886893
Kurtosis3.6069729
Mean2.0077907 × 1018
Median Absolute Deviation (MAD)4.0030031 × 1015
Skewness-0.59550224
Sum-5.8274871 × 1018
Variance5.4850556 × 1031
MonotonicityNot monotonic
2023-12-11T05:03:49.140965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2004341001311500006 1
 
< 0.1%
2003346006511500011 1
 
< 0.1%
2009346007714500026 1
 
< 0.1%
2010346011314500008 1
 
< 0.1%
2011346012514500001 1
 
< 0.1%
2011346012514500004 1
 
< 0.1%
2011346012514500005 1
 
< 0.1%
2011346012514500006 1
 
< 0.1%
2003346006511500008 1
 
< 0.1%
2003346006511500009 1
 
< 0.1%
Other values (3019) 3019
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 (%)
2021348036514500006 1
< 0.1%
2021348036514500005 1
< 0.1%
2021348036514500004 1
< 0.1%
2021348036514500003 1
< 0.1%
2021348036514500002 1
< 0.1%
2021348036514500001 1
< 0.1%
2021347018114500024 1
< 0.1%
2021347018114500023 1
< 0.1%
2021347018114500022 1
< 0.1%
2021347018114500021 1
< 0.1%

인허가일자
Real number (ℝ)

Distinct2083
Distinct (%)68.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20072920
Minimum19681230
Maximum20211231
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.8 KiB
2023-12-11T05:03:49.343796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19681230
5-th percentile19981027
Q120030317
median20060518
Q320120802
95-th percentile20200323
Maximum20211231
Range530001
Interquartile range (IQR)90485

Descriptive statistics

Standard deviation72716.963
Coefficient of variation (CV)0.00362264
Kurtosis3.9411971
Mean20072920
Median Absolute Deviation (MAD)40204
Skewness-0.62118586
Sum6.0800875 × 1010
Variance5.2877567 × 109
MonotonicityNot monotonic
2023-12-11T05:03:49.565443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19950126 8
 
0.3%
20061129 8
 
0.3%
20020429 6
 
0.2%
20061123 6
 
0.2%
20050318 6
 
0.2%
20060901 6
 
0.2%
20070309 6
 
0.2%
20030729 6
 
0.2%
20051228 5
 
0.2%
20040714 5
 
0.2%
Other values (2073) 2967
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 (%)
20211231 1
< 0.1%
20211224 1
< 0.1%
20211220 1
< 0.1%
20211216 1
< 0.1%
20211209 1
< 0.1%
20211207 1
< 0.1%
20211203 1
< 0.1%
20211201 1
< 0.1%
20211123 1
< 0.1%
20211122 1
< 0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3029
Missing (%)100.0%
Memory size26.8 KiB

영업상태구분코드
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size23.8 KiB
3
2225 
1
625 
4
 
179

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 2225
73.5%
1 625
 
20.6%
4 179
 
5.9%

Length

2023-12-11T05:03:49.826565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:03:50.015781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 2225
73.5%
1 625
 
20.6%
4 179
 
5.9%

영업상태명
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size23.8 KiB
폐업
2225 
영업/정상
625 
취소/말소/만료/정지/중지
 
179

Length

Max length14
Median length2
Mean length3.3281611
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 2225
73.5%
영업/정상 625
 
20.6%
취소/말소/만료/정지/중지 179
 
5.9%

Length

2023-12-11T05:03:50.194490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:03:50.384300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 2225
73.5%
영업/정상 625
 
20.6%
취소/말소/만료/정지/중지 179
 
5.9%

상세영업상태코드
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size23.8 KiB
40
2225 
20
625 
70
 
179

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
40 2225
73.5%
20 625
 
20.6%
70 179
 
5.9%

Length

2023-12-11T05:03:50.584004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:03:50.781257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
40 2225
73.5%
20 625
 
20.6%
70 179
 
5.9%

상세영업상태명
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size23.8 KiB
폐업
2225 
영업중
625 
등록취소
 
179

Length

Max length4
Median length2
Mean length2.3245295
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 2225
73.5%
영업중 625
 
20.6%
등록취소 179
 
5.9%

Length

2023-12-11T05:03:50.982057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:03:51.225746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 2225
73.5%
영업중 625
 
20.6%
등록취소 179
 
5.9%

폐업일자
Real number (ℝ)

MISSING 

Distinct1059
Distinct (%)84.2%
Missing1771
Missing (%)58.5%
Infinite0
Infinite (%)0.0%
Mean20121521
Minimum19950714
Maximum20211231
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.8 KiB
2023-12-11T05:03:51.433979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19950714
5-th percentile20030801
Q120080919
median20120509
Q320170386
95-th percentile20200842
Maximum20211231
Range260517
Interquartile range (IQR)89467

Descriptive statistics

Standard deviation53613.641
Coefficient of variation (CV)0.0026644925
Kurtosis-0.60871311
Mean20121521
Median Absolute Deviation (MAD)40182.5
Skewness-0.20220491
Sum2.5312873 × 1010
Variance2.8744225 × 109
MonotonicityNot monotonic
2023-12-11T05:03:51.679153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20040918 7
 
0.2%
20041022 4
 
0.1%
20090120 4
 
0.1%
20070723 4
 
0.1%
20161014 4
 
0.1%
20081229 4
 
0.1%
20080423 3
 
0.1%
20181227 3
 
0.1%
20050316 3
 
0.1%
20191127 3
 
0.1%
Other values (1049) 1219
40.2%
(Missing) 1771
58.5%
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 (%)
20211231 1
< 0.1%
20211228 2
0.1%
20211224 1
< 0.1%
20211221 1
< 0.1%
20211213 1
< 0.1%
20211210 2
0.1%
20211202 1
< 0.1%
20211201 1
< 0.1%
20211125 1
< 0.1%
20211109 1
< 0.1%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3029
Missing (%)100.0%
Memory size26.8 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3029
Missing (%)100.0%
Memory size26.8 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3029
Missing (%)100.0%
Memory size26.8 KiB

소재지전화
Text

MISSING 

Distinct416
Distinct (%)95.0%
Missing2591
Missing (%)85.5%
Memory size23.8 KiB
2023-12-11T05:03:52.213284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.518265
Min length5

Characters and Unicode

Total characters5045
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

Unique397 ?
Unique (%)90.6%

Sample

1st row053 422 5006
2nd row053 2431001
3rd row053 655 8272
4th row053 524 5000
5th row053 254 7882
ValueCountFrequency (%)
053 373
33.3%
611 13
 
1.2%
761 13
 
1.2%
614 8
 
0.7%
764 7
 
0.6%
424 7
 
0.6%
768 7
 
0.6%
744 7
 
0.6%
766 6
 
0.5%
753 6
 
0.5%
Other values (531) 673
60.1%
2023-12-11T05:03:53.045283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 760
15.1%
5 748
14.8%
731
14.5%
3 643
12.7%
7 382
7.6%
1 355
7.0%
6 329
6.5%
4 326
6.5%
2 320
6.3%
9 246
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4314
85.5%
Space Separator 731
 
14.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 760
17.6%
5 748
17.3%
3 643
14.9%
7 382
8.9%
1 355
8.2%
6 329
7.6%
4 326
7.6%
2 320
7.4%
9 246
 
5.7%
8 205
 
4.8%
Space Separator
ValueCountFrequency (%)
731
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5045
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 760
15.1%
5 748
14.8%
731
14.5%
3 643
12.7%
7 382
7.6%
1 355
7.0%
6 329
6.5%
4 326
6.5%
2 320
6.3%
9 246
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5045
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 760
15.1%
5 748
14.8%
731
14.5%
3 643
12.7%
7 382
7.6%
1 355
7.0%
6 329
6.5%
4 326
6.5%
2 320
6.3%
9 246
 
4.9%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3029
Missing (%)100.0%
Memory size26.8 KiB

소재지우편번호
Real number (ℝ)

MISSING  ZEROS 

Distinct279
Distinct (%)38.1%
Missing2297
Missing (%)75.8%
Infinite0
Infinite (%)0.0%
Mean635336.37
Minimum0
Maximum711883
Zeros70
Zeros (%)2.3%
Negative0
Negative (%)0.0%
Memory size26.8 KiB
2023-12-11T05:03:53.309717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1701816
median703042
Q3705032.25
95-th percentile706839.8
Maximum711883
Range711883
Interquartile range (IQR)3216.25

Descriptive statistics

Standard deviation208205.97
Coefficient of variation (CV)0.32770982
Kurtosis5.4274264
Mean635336.37
Median Absolute Deviation (MAD)1788.5
Skewness-2.7198241
Sum4.6506622 × 108
Variance4.3349725 × 1010
MonotonicityNot monotonic
2023-12-11T05:03:53.571559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 70
 
2.3%
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 10
 
0.3%
Other values (269) 520
 
17.2%
(Missing) 2297
75.8%
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

Distinct2765
Distinct (%)91.8%
Missing18
Missing (%)0.6%
Memory size23.8 KiB
2023-12-11T05:03:54.335956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length45
Mean length29.004982
Min length12

Characters and Unicode

Total characters87334
Distinct characters371
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

Unique2567 ?
Unique (%)85.3%

Sample

1st row대구광역시 수성구 시지동 318번지 1호 4통 8반 경북아파트 3 307
2nd row대구광역시 중구 동인동4가 444번지 4호 10통 6반
3rd row부산광역시 해운대구 재송동 1123번지 20호 30통 4반 코오롱아파트 101 303
4th row대구광역시 달성군 화원읍 본리리 113번지 2호 대구본리2단지 203 902
5th row대구광역시 달서구 월성동 1261호 24통 5반 월성자이 103 1901
ValueCountFrequency (%)
대구광역시 2789
 
14.3%
달서구 587
 
3.0%
수성구 495
 
2.5%
동구 448
 
2.3%
1호 365
 
1.9%
서구 348
 
1.8%
북구 281
 
1.4%
남구 270
 
1.4%
중구 221
 
1.1%
1반 201
 
1.0%
Other values (3165) 13461
69.2%
2023-12-11T05:03:55.292448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
18617
21.3%
구 5549
 
6.4%
1 5020
 
5.7%
동 3307
 
3.8%
2 3178
 
3.6%
대 3135
 
3.6%
시 2985
 
3.4%
호 2915
 
3.3%
광 2830
 
3.2%
역 2813
 
3.2%
Other values (361) 36985
42.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 47124
54.0%
Decimal Number 21161
24.2%
Space Separator 18617
 
21.3%
Dash Punctuation 187
 
0.2%
Other Punctuation 84
 
0.1%
Uppercase Letter 62
 
0.1%
Close Punctuation 45
 
0.1%
Open Punctuation 45
 
0.1%
Lowercase Letter 9
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 5549
 
11.8%
동 3307
 
7.0%
대 3135
 
6.7%
시 2985
 
6.3%
호 2915
 
6.2%
광 2830
 
6.0%
역 2813
 
6.0%
지 2534
 
5.4%
번 2363
 
5.0%
통 1239
 
2.6%
Other values (329) 17454
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%
P 1
 
1.6%
T 1
 
1.6%
H 1
 
1.6%
Other values (2) 2
 
3.2%
Decimal Number
ValueCountFrequency (%)
1 5020
23.7%
2 3178
15.0%
3 2340
11.1%
0 2332
11.0%
4 1858
 
8.8%
5 1615
 
7.6%
6 1359
 
6.4%
7 1266
 
6.0%
8 1143
 
5.4%
9 1050
 
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 (%)
18617
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 187
100.0%
Close Punctuation
ValueCountFrequency (%)
) 45
100.0%
Open Punctuation
ValueCountFrequency (%)
( 45
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 47120
54.0%
Common 40139
46.0%
Latin 71
 
0.1%
Han 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 5549
 
11.8%
동 3307
 
7.0%
대 3135
 
6.7%
시 2985
 
6.3%
호 2915
 
6.2%
광 2830
 
6.0%
역 2813
 
6.0%
지 2534
 
5.4%
번 2363
 
5.0%
통 1239
 
2.6%
Other values (327) 17450
37.0%
Common
ValueCountFrequency (%)
18617
46.4%
1 5020
 
12.5%
2 3178
 
7.9%
3 2340
 
5.8%
0 2332
 
5.8%
4 1858
 
4.6%
5 1615
 
4.0%
6 1359
 
3.4%
7 1266
 
3.2%
8 1143
 
2.8%
Other values (7) 1411
 
3.5%
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%
a 1
 
1.4%
P 1
 
1.4%
Other values (5) 5
 
7.0%
Han
ValueCountFrequency (%)
坪 2
50.0%
沙 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 47119
54.0%
ASCII 40210
46.0%
CJK 4
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
18617
46.3%
1 5020
 
12.5%
2 3178
 
7.9%
3 2340
 
5.8%
0 2332
 
5.8%
4 1858
 
4.6%
5 1615
 
4.0%
6 1359
 
3.4%
7 1266
 
3.1%
8 1143
 
2.8%
Other values (22) 1482
 
3.7%
Hangul
ValueCountFrequency (%)
구 5549
 
11.8%
동 3307
 
7.0%
대 3135
 
6.7%
시 2985
 
6.3%
호 2915
 
6.2%
광 2830
 
6.0%
역 2813
 
6.0%
지 2534
 
5.4%
번 2363
 
5.0%
통 1239
 
2.6%
Other values (326) 17449
37.0%
CJK
ValueCountFrequency (%)
坪 2
50.0%
沙 2
50.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%

도로명전체주소
Text

MISSING 

Distinct2056
Distinct (%)90.5%
Missing756
Missing (%)25.0%
Memory size23.8 KiB
2023-12-11T05:03:55.993186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length46
Mean length28.607567
Min length19

Characters and Unicode

Total characters65025
Distinct characters365
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

Unique1884 ?
Unique (%)82.9%

Sample

1st row대구광역시 수성구 달구벌대로 3124, 3동 307호 (시지동,경북아파트)
2nd row대구광역시 중구 국채보상로 736-6 (동인동4가)
3rd row대구광역시 달서구 중흥로16길 29 (송현동)
4th row대구광역시 달서구 중흥로16길 29 (송현동)
5th row대구광역시 달서구 구마로14남길 7, 402호 (본동,창현아이빌)
ValueCountFrequency (%)
대구광역시 2194
 
16.9%
수성구 431
 
3.3%
동구 407
 
3.1%
2층 335
 
2.6%
달서구 326
 
2.5%
서구 299
 
2.3%
북구 237
 
1.8%
남구 220
 
1.7%
중구 163
 
1.3%
대명동 134
 
1.0%
Other values (2625) 8260
63.5%
2023-12-11T05:03:56.957288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10740
 
16.5%
구 4584
 
7.0%
동 3166
 
4.9%
대 2838
 
4.4%
1 2398
 
3.7%
시 2297
 
3.5%
로 2223
 
3.4%
광 2215
 
3.4%
역 2206
 
3.4%
( 2138
 
3.3%
Other values (355) 30220
46.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 36821
56.6%
Decimal Number 11017
 
16.9%
Space Separator 10740
 
16.5%
Open Punctuation 2138
 
3.3%
Close Punctuation 2138
 
3.3%
Other Punctuation 1572
 
2.4%
Dash Punctuation 551
 
0.8%
Uppercase Letter 43
 
0.1%
Lowercase Letter 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 4584
 
12.4%
동 3166
 
8.6%
대 2838
 
7.7%
시 2297
 
6.2%
로 2223
 
6.0%
광 2215
 
6.0%
역 2206
 
6.0%
길 1001
 
2.7%
성 983
 
2.7%
서 823
 
2.2%
Other values (325) 14485
39.3%
Decimal Number
ValueCountFrequency (%)
1 2398
21.8%
2 2043
18.5%
3 1328
12.1%
0 1201
10.9%
4 870
 
7.9%
5 790
 
7.2%
6 689
 
6.3%
7 637
 
5.8%
8 586
 
5.3%
9 475
 
4.3%
Uppercase Letter
ValueCountFrequency (%)
B 14
32.6%
A 10
23.3%
C 7
16.3%
D 3
 
7.0%
P 2
 
4.7%
M 2
 
4.7%
G 2
 
4.7%
T 1
 
2.3%
S 1
 
2.3%
Y 1
 
2.3%
Other Punctuation
ValueCountFrequency (%)
, 1567
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 (%)
10740
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2138
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2138
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 551
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 36821
56.6%
Common 28156
43.3%
Latin 48
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 4584
 
12.4%
동 3166
 
8.6%
대 2838
 
7.7%
시 2297
 
6.2%
로 2223
 
6.0%
광 2215
 
6.0%
역 2206
 
6.0%
길 1001
 
2.7%
성 983
 
2.7%
서 823
 
2.2%
Other values (325) 14485
39.3%
Common
ValueCountFrequency (%)
10740
38.1%
1 2398
 
8.5%
( 2138
 
7.6%
) 2138
 
7.6%
2 2043
 
7.3%
, 1567
 
5.6%
3 1328
 
4.7%
0 1201
 
4.3%
4 870
 
3.1%
5 790
 
2.8%
Other values (8) 2943
 
10.5%
Latin
ValueCountFrequency (%)
B 14
29.2%
A 10
20.8%
C 7
14.6%
e 4
 
8.3%
D 3
 
6.2%
P 2
 
4.2%
M 2
 
4.2%
G 2
 
4.2%
T 1
 
2.1%
c 1
 
2.1%
Other values (2) 2
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 36820
56.6%
ASCII 28203
43.4%
None 1
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10740
38.1%
1 2398
 
8.5%
( 2138
 
7.6%
) 2138
 
7.6%
2 2043
 
7.2%
, 1567
 
5.6%
3 1328
 
4.7%
0 1201
 
4.3%
4 870
 
3.1%
5 790
 
2.8%
Other values (19) 2990
 
10.6%
Hangul
ValueCountFrequency (%)
구 4584
 
12.4%
동 3166
 
8.6%
대 2838
 
7.7%
시 2297
 
6.2%
로 2223
 
6.0%
광 2215
 
6.0%
역 2206
 
6.0%
길 1001
 
2.7%
성 983
 
2.7%
서 823
 
2.2%
Other values (324) 14484
39.3%
None
ValueCountFrequency (%)
· 1
100.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct611
Distinct (%)54.9%
Missing1917
Missing (%)63.3%
Infinite0
Infinite (%)0.0%
Mean278550.37
Minimum39202
Maximum719831
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.8 KiB
2023-12-11T05:03:57.184450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum39202
5-th percentile41193.1
Q141909.75
median42678
Q3701840.25
95-th percentile706826.9
Maximum719831
Range680629
Interquartile range (IQR)659930.5

Descriptive statistics

Standard deviation317465.7
Coefficient of variation (CV)1.1397066
Kurtosis-1.6455228
Mean278550.37
Median Absolute Deviation (MAD)1147.5
Skewness0.59775359
Sum3.0974801 × 108
Variance1.0078447 × 1011
MonotonicityNot monotonic
2023-12-11T05:03:57.507917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
701816 14
 
0.5%
706032 12
 
0.4%
706852 11
 
0.4%
42612 10
 
0.3%
42661 10
 
0.3%
42470 8
 
0.3%
41529 8
 
0.3%
41562 8
 
0.3%
42696 8
 
0.3%
701827 7
 
0.2%
Other values (601) 1016
33.5%
(Missing) 1917
63.3%
ValueCountFrequency (%)
39202 1
< 0.1%
41047 1
< 0.1%
41067 1
< 0.1%
41071 1
< 0.1%
41073 1
< 0.1%
41078 1
< 0.1%
41084 1
< 0.1%
41086 1
< 0.1%
41091 1
< 0.1%
41092 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

Distinct2517
Distinct (%)83.1%
Missing0
Missing (%)0.0%
Memory size23.8 KiB
2023-12-11T05:03:58.108165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length23
Mean length8.6599538
Min length1

Characters and Unicode

Total characters26231
Distinct characters548
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

Unique2169 ?
Unique (%)71.6%

Sample

1st row뉴 강일
2nd row일하는사람들
3rd row경상인력
4th row아이모어(주)
5th row대구간병사 베이비시터회
ValueCountFrequency (%)
유료직업소개소 513
 
13.8%
직업소개소 54
 
1.5%
주식회사 27
 
0.7%
대한유료직업소개소 9
 
0.2%
대성직업소개소 8
 
0.2%
미래직업소개소 8
 
0.2%
삼성 7
 
0.2%
대한직업소개소 6
 
0.2%
삼성직업소개소 6
 
0.2%
어머니회 6
 
0.2%
Other values (2474) 3068
82.7%
2023-12-11T05:03:59.100631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
소 4405
16.8%
개 2573
 
9.8%
업 2240
 
8.5%
직 2186
 
8.3%
유 1499
 
5.7%
료 1472
 
5.6%
인 689
 
2.6%
685
 
2.6%
력 614
 
2.3%
발 395
 
1.5%
Other values (538) 9473
36.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 24921
95.0%
Space Separator 685
 
2.6%
Open Punctuation 156
 
0.6%
Close Punctuation 156
 
0.6%
Decimal Number 156
 
0.6%
Uppercase Letter 111
 
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 4405
17.7%
개 2573
 
10.3%
업 2240
 
9.0%
직 2186
 
8.8%
유 1499
 
6.0%
료 1472
 
5.9%
인 689
 
2.8%
력 614
 
2.5%
발 395
 
1.6%
대 369
 
1.5%
Other values (482) 8479
34.0%
Uppercase Letter
ValueCountFrequency (%)
K 14
12.6%
O 12
 
10.8%
S 11
 
9.9%
C 10
 
9.0%
J 9
 
8.1%
H 6
 
5.4%
F 5
 
4.5%
B 5
 
4.5%
M 5
 
4.5%
R 4
 
3.6%
Other values (12) 30
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%
d 1
 
3.8%
y 1
 
3.8%
f 1
 
3.8%
b 1
 
3.8%
h 1
 
3.8%
Other values (3) 3
11.5%
Decimal Number
ValueCountFrequency (%)
2 37
23.7%
1 32
20.5%
0 18
11.5%
3 18
11.5%
5 13
 
8.3%
8 13
 
8.3%
7 7
 
4.5%
6 7
 
4.5%
4 6
 
3.8%
9 5
 
3.2%
Other Punctuation
ValueCountFrequency (%)
. 11
64.7%
& 4
 
23.5%
, 1
 
5.9%
' 1
 
5.9%
Open Punctuation
ValueCountFrequency (%)
( 155
99.4%
[ 1
 
0.6%
Close Punctuation
ValueCountFrequency (%)
) 155
99.4%
] 1
 
0.6%
Space Separator
ValueCountFrequency (%)
685
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 24922
95.0%
Common 1172
 
4.5%
Latin 137
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
소 4405
17.7%
개 2573
 
10.3%
업 2240
 
9.0%
직 2186
 
8.8%
유 1499
 
6.0%
료 1472
 
5.9%
인 689
 
2.8%
력 614
 
2.5%
발 395
 
1.6%
대 369
 
1.5%
Other values (483) 8480
34.0%
Latin
ValueCountFrequency (%)
K 14
 
10.2%
O 12
 
8.8%
S 11
 
8.0%
C 10
 
7.3%
J 9
 
6.6%
H 6
 
4.4%
o 6
 
4.4%
F 5
 
3.6%
B 5
 
3.6%
M 5
 
3.6%
Other values (25) 54
39.4%
Common
ValueCountFrequency (%)
685
58.4%
( 155
 
13.2%
) 155
 
13.2%
2 37
 
3.2%
1 32
 
2.7%
0 18
 
1.5%
3 18
 
1.5%
5 13
 
1.1%
8 13
 
1.1%
. 11
 
0.9%
Other values (10) 35
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 24921
95.0%
ASCII 1309
 
5.0%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
소 4405
17.7%
개 2573
 
10.3%
업 2240
 
9.0%
직 2186
 
8.8%
유 1499
 
6.0%
료 1472
 
5.9%
인 689
 
2.8%
력 614
 
2.5%
발 395
 
1.6%
대 369
 
1.5%
Other values (482) 8479
34.0%
ASCII
ValueCountFrequency (%)
685
52.3%
( 155
 
11.8%
) 155
 
11.8%
2 37
 
2.8%
1 32
 
2.4%
0 18
 
1.4%
3 18
 
1.4%
K 14
 
1.1%
5 13
 
1.0%
8 13
 
1.0%
Other values (45) 169
 
12.9%
None
ValueCountFrequency (%)
㈜ 1
100.0%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct3029
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0115726 × 1013
Minimum2.0030304 × 1013
Maximum2.0211231 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.8 KiB
2023-12-11T05:03:59.468622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0030304 × 1013
5-th percentile2.003042 × 1013
Q12.0061124 × 1013
median2.009123 × 1013
Q32.0181212 × 1013
95-th percentile2.0210816 × 1013
Maximum2.0211231 × 1013
Range1.8092702 × 1011
Interquartile range (IQR)1.20088 × 1011

Descriptive statistics

Standard deviation6.3329789 × 1010
Coefficient of variation (CV)0.0031482725
Kurtosis-1.4224183
Mean2.0115726 × 1013
Median Absolute Deviation (MAD)5.0200061 × 1010
Skewness0.27959479
Sum6.0930535 × 1016
Variance4.0106622 × 1021
MonotonicityNot monotonic
2023-12-11T05:03:59.801520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20060630131358 1
 
< 0.1%
20040625171710 1
 
< 0.1%
20191011154450 1
 
< 0.1%
20111229191555 1
 
< 0.1%
20180430114504 1
 
< 0.1%
20111129145445 1
 
< 0.1%
20110922133008 1
 
< 0.1%
20160329135200 1
 
< 0.1%
20050329170942 1
 
< 0.1%
20190625144400 1
 
< 0.1%
Other values (3019) 3019
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 (%)
20211231180225 1
< 0.1%
20211231161947 1
< 0.1%
20211231153403 1
< 0.1%
20211229171124 1
< 0.1%
20211229141603 1
< 0.1%
20211229131348 1
< 0.1%
20211229085936 1
< 0.1%
20211228200925 1
< 0.1%
20211228133247 1
< 0.1%
20211228120023 1
< 0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size23.8 KiB
I
2328 
U
701 

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 2328
76.9%
U 701
 
23.1%

Length

2023-12-11T05:04:00.295503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:04:00.609558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 2328
76.9%
u 701
 
23.1%

데이터갱신일자
Date

Distinct495
Distinct (%)16.3%
Missing0
Missing (%)0.0%
Memory size23.8 KiB
Minimum2018-08-31 23:59:59
Maximum2022-01-02 02:40:00
2023-12-11T05:04:00.944124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T05:04:01.275573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3029
Missing (%)100.0%
Memory size26.8 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct2269
Distinct (%)79.4%
Missing172
Missing (%)5.7%
Infinite0
Infinite (%)0.0%
Mean342652.24
Minimum168308.9
Maximum545499.31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.8 KiB
2023-12-11T05:04:01.523618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum168308.9
5-th percentile331273.51
Q1339887.33
median343244.59
Q3346496.53
95-th percentile354125.05
Maximum545499.31
Range377190.42
Interquartile range (IQR)6609.1974

Descriptive statistics

Standard deviation15476.114
Coefficient of variation (CV)0.045165658
Kurtosis60.069366
Mean342652.24
Median Absolute Deviation (MAD)3309.1751
Skewness-4.0199037
Sum9.7895745 × 108
Variance2.395101 × 108
MonotonicityNot monotonic
2023-12-11T05:04:02.165960image/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%
344056.754607 5
 
0.2%
338238.522263 5
 
0.2%
346207.242079 5
 
0.2%
335580.935569 5
 
0.2%
343954.889867 5
 
0.2%
345694.841903 5
 
0.2%
Other values (2259) 2796
92.3%
(Missing) 172
 
5.7%
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 

Distinct2269
Distinct (%)79.4%
Missing172
Missing (%)5.7%
Infinite0
Infinite (%)0.0%
Mean264148.21
Minimum158124.22
Maximum488962.84
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.8 KiB
2023-12-11T05:04:02.395510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum158124.22
5-th percentile256394.75
Q1261163.88
median263230.31
Q3265283.46
95-th percentile270740.07
Maximum488962.84
Range330838.62
Interquartile range (IQR)4119.5744

Descriptive statistics

Standard deviation17961.022
Coefficient of variation (CV)0.067996001
Kurtosis74.933815
Mean264148.21
Median Absolute Deviation (MAD)2066.4285
Skewness7.1284488
Sum7.5467143 × 108
Variance3.225983 × 108
MonotonicityNot monotonic
2023-12-11T05:04:02.630829image/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%
265005.160592 5
 
0.2%
257349.098841 5
 
0.2%
267170.951212 5
 
0.2%
262368.945366 5
 
0.2%
267834.090945 5
 
0.2%
262463.374668 5
 
0.2%
Other values (2259) 2796
92.3%
(Missing) 172
 
5.7%
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 size23.8 KiB
개인
2895 
법인
 
134

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
개인 2895
95.6%
법인 134
 
4.4%

Length

2023-12-11T05:04:02.862024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:04:03.041387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개인 2895
95.6%
법인 134
 
4.4%

구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size23.8 KiB
유료
3029 

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 3029
100.0%

Length

2023-12-11T05:04:03.243701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:04:03.392816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유료 3029
100.0%

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)법인구분명구분명
01유료직업소개소11_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
12유료직업소개소11_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
23유료직업소개소11_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
34유료직업소개소11_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
45유료직업소개소11_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
56유료직업소개소11_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
67유료직업소개소11_50_02_P3410000200334100131150000419950126<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>대구광역시 달서구 송현동 2015번지 16호 4통 4반대구광역시 달서구 중흥로16길 29 (송현동)<NA>(주)24인력개발 유료직업소개소20060428134158I2018-08-31 23:59:59.0<NA>340738.47108259710.656488법인유료
78유료직업소개소11_50_02_P3410000200334100131150000519950218<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>대구광역시 수성구 범어동 2082호 5통 4반<NA><NA>금문 유료직업소개소20070507110419I2018-08-31 23:59:59.0<NA><NA><NA>개인유료
89유료직업소개소11_50_02_P3410000200334100131150000619980312<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>대구광역시 북구 읍내동 1366번지 2호 52통 2반 보성맨션 103 503<NA><NA>김수웅 유료직업소개소20061101175622I2018-08-31 23:59:59.0<NA>340126.10647271586.559499개인유료
910유료직업소개소11_50_02_P3410000200334100131150000719980716<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>대구광역시 달서구 송현동 2015번지 16호 4통 4반대구광역시 달서구 중흥로16길 29 (송현동)<NA>정재한 유료직업소개소20070507093104I2018-08-31 23:59:59.0<NA>340738.47108259710.656488개인유료
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