Overview

Dataset statistics

Number of variables29
Number of observations1294
Missing cells16442
Missing cells (%)43.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory311.0 KiB
Average record size in memory246.1 B

Variable types

Categorical6
Numeric9
DateTime7
Text4
Unsupported3

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),자산규모,부채총액,자본금,판매방식명
Author강서구
URLhttps://data.seoul.go.kr/dataList/OA-18767/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has 1097 (84.8%) missing valuesMissing
폐업일자 has 566 (43.7%) missing valuesMissing
휴업시작일자 has 1287 (99.5%) missing valuesMissing
휴업종료일자 has 1287 (99.5%) missing valuesMissing
재개업일자 has 1288 (99.5%) missing valuesMissing
전화번호 has 220 (17.0%) missing valuesMissing
소재지면적 has 1294 (100.0%) missing valuesMissing
소재지우편번호 has 979 (75.7%) missing valuesMissing
지번주소 has 164 (12.7%) missing valuesMissing
도로명주소 has 599 (46.3%) missing valuesMissing
도로명우편번호 has 838 (64.8%) missing valuesMissing
업태구분명 has 1294 (100.0%) missing valuesMissing
좌표정보(X) has 620 (47.9%) missing valuesMissing
좌표정보(Y) has 620 (47.9%) missing valuesMissing
자산규모 has 998 (77.1%) missing valuesMissing
부채총액 has 1000 (77.3%) missing valuesMissing
자본금 has 997 (77.0%) missing valuesMissing
판매방식명 has 1294 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
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
판매방식명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
자산규모 has 132 (10.2%) zerosZeros
부채총액 has 189 (14.6%) zerosZeros
자본금 has 122 (9.4%) zerosZeros

Reproduction

Analysis started2024-05-11 05:36:38.307046
Analysis finished2024-05-11 05:36:39.706181
Duration1.4 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size10.2 KiB
3150000
1294 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3150000
2nd row3150000
3rd row3150000
4th row3150000
5th row3150000

Common Values

ValueCountFrequency (%)
3150000 1294
100.0%

Length

2024-05-11T14:36:39.820997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:36:39.983274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3150000 1294
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct1294
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0085932 × 1018
Minimum1.996315 × 1018
Maximum2.024315 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.5 KiB
2024-05-11T14:36:40.165586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.996315 × 1018
5-th percentile1.998315 × 1018
Q12.002565 × 1018
median2.007315 × 1018
Q32.014315 × 1018
95-th percentile2.021315 × 1018
Maximum2.024315 × 1018
Range2.800001 × 1016
Interquartile range (IQR)1.1750004 × 1016

Descriptive statistics

Standard deviation7.2566426 × 1015
Coefficient of variation (CV)0.0036127985
Kurtosis-0.84427712
Mean2.0085932 × 1018
Median Absolute Deviation (MAD)5 × 1015
Skewness0.37107524
Sum-1.871288 × 1018
Variance5.2658861 × 1031
MonotonicityStrictly increasing
2024-05-11T14:36:40.406181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1996315010023200010 1
 
0.1%
2012315014523200008 1
 
0.1%
2011315012323200038 1
 
0.1%
2011315012323200037 1
 
0.1%
2011315012323200036 1
 
0.1%
2011315012323200035 1
 
0.1%
2011315012323200034 1
 
0.1%
2011315012323200032 1
 
0.1%
2011315012323200030 1
 
0.1%
2011315012323200029 1
 
0.1%
Other values (1284) 1284
99.2%
ValueCountFrequency (%)
1996315010023200010 1
0.1%
1996315010023200024 1
0.1%
1996315010023200025 1
0.1%
1996315010023200027 1
0.1%
1996315010023200031 1
0.1%
1996315010023216001 1
0.1%
1996315010023216003 1
0.1%
1996315010023216004 1
0.1%
1996315010023216005 1
0.1%
1996315010023216006 1
0.1%
ValueCountFrequency (%)
2024315020023200012 1
0.1%
2024315020023200011 1
0.1%
2024315020023200010 1
0.1%
2024315020023200009 1
0.1%
2024315020023200008 1
0.1%
2024315020023200007 1
0.1%
2024315020023200006 1
0.1%
2024315020023200005 1
0.1%
2024315020023200004 1
0.1%
2024315020023200003 1
0.1%

인허가일자
Date

Distinct1080
Distinct (%)83.5%
Missing0
Missing (%)0.0%
Memory size10.2 KiB
Minimum1996-08-26 00:00:00
Maximum2024-05-07 00:00:00
2024-05-11T14:36:40.659524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:36:40.922245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)5.6%
Missing1097
Missing (%)84.8%
Infinite0
Infinite (%)0.0%
Mean20071164
Minimum20001103
Maximum20100416
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.5 KiB
2024-05-11T14:36:41.138206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20001103
5-th percentile20030923
Q120041213
median20070904
Q320100416
95-th percentile20100416
Maximum20100416
Range99313
Interquartile range (IQR)59203

Descriptive statistics

Standard deviation29752.536
Coefficient of variation (CV)0.0014823523
Kurtosis-1.0519882
Mean20071164
Median Absolute Deviation (MAD)29512
Skewness-0.53358132
Sum3.9540192 × 109
Variance8.8521337 × 108
MonotonicityNot monotonic
2024-05-11T14:36:41.332468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
20100416 80
 
6.2%
20030923 36
 
2.8%
20041213 18
 
1.4%
20070904 18
 
1.4%
20070124 17
 
1.3%
20081215 15
 
1.2%
20001103 5
 
0.4%
20061218 4
 
0.3%
20070928 2
 
0.2%
20020819 1
 
0.1%
(Missing) 1097
84.8%
ValueCountFrequency (%)
20001103 5
 
0.4%
20020819 1
 
0.1%
20030923 36
2.8%
20031213 1
 
0.1%
20041213 18
1.4%
20061218 4
 
0.3%
20070124 17
1.3%
20070904 18
1.4%
20070928 2
 
0.2%
20081215 15
1.2%
ValueCountFrequency (%)
20100416 80
6.2%
20081215 15
 
1.2%
20070928 2
 
0.2%
20070904 18
 
1.4%
20070124 17
 
1.3%
20061218 4
 
0.3%
20041213 18
 
1.4%
20031213 1
 
0.1%
20030923 36
2.8%
20020819 1
 
0.1%

영업상태코드
Categorical

Distinct5
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size10.2 KiB
3
721 
4
389 
1
171 
5
 
8
2
 
5

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 (%)
3 721
55.7%
4 389
30.1%
1 171
 
13.2%
5 8
 
0.6%
2 5
 
0.4%

Length

2024-05-11T14:36:41.590241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:36:41.784301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 721
55.7%
4 389
30.1%
1 171
 
13.2%
5 8
 
0.6%
2 5
 
0.4%

영업상태명
Categorical

Distinct5
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size10.2 KiB
폐업
721 
취소/말소/만료/정지/중지
389 
영업/정상
171 
제외/삭제/전출
 
8
휴업
 
5

Length

Max length14
Median length2
Mean length6.0409583
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 721
55.7%
취소/말소/만료/정지/중지 389
30.1%
영업/정상 171
 
13.2%
제외/삭제/전출 8
 
0.6%
휴업 5
 
0.4%

Length

2024-05-11T14:36:42.002562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:36:42.230015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 721
55.7%
취소/말소/만료/정지/중지 389
30.1%
영업/정상 171
 
13.2%
제외/삭제/전출 8
 
0.6%
휴업 5
 
0.4%

상세영업상태코드
Categorical

Distinct7
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size10.2 KiB
03
721 
04
197 
07
192 
01
170 
05
 
8
Other values (2)
 
6

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row03
2nd row03
3rd row03
4th row03
5th row03

Common Values

ValueCountFrequency (%)
03 721
55.7%
04 197
 
15.2%
07 192
 
14.8%
01 170
 
13.1%
05 8
 
0.6%
02 5
 
0.4%
- 1
 
0.1%

Length

2024-05-11T14:36:42.432932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:36:42.692655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
03 721
55.7%
04 197
 
15.2%
07 192
 
14.8%
01 170
 
13.1%
05 8
 
0.6%
02 5
 
0.4%
1
 
0.1%

상세영업상태명
Categorical

Distinct7
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size10.2 KiB
폐업처리
721 
직권취소
197 
직권말소
192 
정상영업
170 
타시군구이관
 
8
Other values (2)
 
6

Length

Max length6
Median length4
Mean length4.0123648
Min length4

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
폐업처리 721
55.7%
직권취소 197
 
15.2%
직권말소 192
 
14.8%
정상영업 170
 
13.1%
타시군구이관 8
 
0.6%
휴업처리 5
 
0.4%
<NA> 1
 
0.1%

Length

2024-05-11T14:36:43.076851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:36:43.277847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업처리 721
55.7%
직권취소 197
 
15.2%
직권말소 192
 
14.8%
정상영업 170
 
13.1%
타시군구이관 8
 
0.6%
휴업처리 5
 
0.4%
na 1
 
0.1%

폐업일자
Date

MISSING 

Distinct636
Distinct (%)87.4%
Missing566
Missing (%)43.7%
Memory size10.2 KiB
Minimum1997-02-26 00:00:00
Maximum2024-04-15 00:00:00
2024-05-11T14:36:43.591639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:36:43.853662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Date

MISSING 

Distinct7
Distinct (%)100.0%
Missing1287
Missing (%)99.5%
Memory size10.2 KiB
Minimum2013-11-20 00:00:00
Maximum2024-01-13 00:00:00
2024-05-11T14:36:44.057676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:36:44.243848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)

휴업종료일자
Date

MISSING 

Distinct7
Distinct (%)100.0%
Missing1287
Missing (%)99.5%
Memory size10.2 KiB
Minimum2013-12-31 00:00:00
Maximum2025-12-31 00:00:00
2024-05-11T14:36:44.421641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:36:44.594169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)

재개업일자
Date

MISSING 

Distinct6
Distinct (%)100.0%
Missing1288
Missing (%)99.5%
Memory size10.2 KiB
Minimum2007-09-04 00:00:00
Maximum2021-05-13 00:00:00
2024-05-11T14:36:44.817930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:36:44.993495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)

전화번호
Text

MISSING 

Distinct882
Distinct (%)82.1%
Missing220
Missing (%)17.0%
Memory size10.2 KiB
2024-05-11T14:36:45.545593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length14
Mean length10.72905
Min length2

Characters and Unicode

Total characters11523
Distinct characters15
Distinct categories6 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique853 ?
Unique (%)79.4%

Sample

1st row02
2nd row02 697 9383
3rd row02 607 8244
4th row02 3663 4961
5th row02 698 6700
ValueCountFrequency (%)
02 765
33.1%
3663 29
 
1.3%
3661 26
 
1.1%
3665 26
 
1.1%
3662 22
 
1.0%
3664 18
 
0.8%
2662 16
 
0.7%
2601 15
 
0.6%
2690 13
 
0.6%
2603 12
 
0.5%
Other values (994) 1368
59.2%
2024-05-11T14:36:46.674736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 1944
16.9%
1805
15.7%
0 1733
15.0%
6 1498
13.0%
3 665
 
5.8%
1 628
 
5.4%
5 626
 
5.4%
9 557
 
4.8%
8 555
 
4.8%
- 532
 
4.6%
Other values (5) 980
8.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9176
79.6%
Space Separator 1805
 
15.7%
Dash Punctuation 532
 
4.6%
Close Punctuation 7
 
0.1%
Math Symbol 2
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 1944
21.2%
0 1733
18.9%
6 1498
16.3%
3 665
 
7.2%
1 628
 
6.8%
5 626
 
6.8%
9 557
 
6.1%
8 555
 
6.0%
4 516
 
5.6%
7 454
 
4.9%
Space Separator
ValueCountFrequency (%)
1805
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 532
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 11523
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 1944
16.9%
1805
15.7%
0 1733
15.0%
6 1498
13.0%
3 665
 
5.8%
1 628
 
5.4%
5 626
 
5.4%
9 557
 
4.8%
8 555
 
4.8%
- 532
 
4.6%
Other values (5) 980
8.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11523
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 1944
16.9%
1805
15.7%
0 1733
15.0%
6 1498
13.0%
3 665
 
5.8%
1 628
 
5.4%
5 626
 
5.4%
9 557
 
4.8%
8 555
 
4.8%
- 532
 
4.6%
Other values (5) 980
8.5%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1294
Missing (%)100.0%
Memory size11.5 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct54
Distinct (%)17.1%
Missing979
Missing (%)75.7%
Infinite0
Infinite (%)0.0%
Mean157176.29
Minimum157010
Maximum157931
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.5 KiB
2024-05-11T14:36:46.958911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum157010
5-th percentile157010
Q1157012.5
median157031
Q3157220
95-th percentile157870
Maximum157931
Range921
Interquartile range (IQR)207.5

Descriptive statistics

Standard deviation274.15563
Coefficient of variation (CV)0.0017442556
Kurtosis2.048838
Mean157176.29
Median Absolute Deviation (MAD)21
Skewness1.8504182
Sum49510532
Variance75161.309
MonotonicityNot monotonic
2024-05-11T14:36:47.196936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
157010 62
 
4.8%
157030 27
 
2.1%
157220 23
 
1.8%
157040 19
 
1.5%
157280 14
 
1.1%
157240 14
 
1.1%
157033 13
 
1.0%
157011 13
 
1.0%
157016 11
 
0.9%
157031 10
 
0.8%
Other values (44) 109
 
8.4%
(Missing) 979
75.7%
ValueCountFrequency (%)
157010 62
4.8%
157011 13
 
1.0%
157012 4
 
0.3%
157013 3
 
0.2%
157014 6
 
0.5%
157015 8
 
0.6%
157016 11
 
0.9%
157017 3
 
0.2%
157018 5
 
0.4%
157019 8
 
0.6%
ValueCountFrequency (%)
157931 1
 
0.1%
157930 2
0.2%
157926 1
 
0.1%
157924 1
 
0.1%
157916 1
 
0.1%
157895 1
 
0.1%
157892 1
 
0.1%
157885 2
0.2%
157884 3
0.2%
157882 1
 
0.1%

지번주소
Text

MISSING 

Distinct708
Distinct (%)62.7%
Missing164
Missing (%)12.7%
Memory size10.2 KiB
2024-05-11T14:36:47.549415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length45.5
Mean length26.047788
Min length13

Characters and Unicode

Total characters29434
Distinct characters321
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique599 ?
Unique (%)53.0%

Sample

1st row서울특별시 강서구발산제*동***-* 원영빌딩*층
2nd row서울특별시 강서구화곡제*동****-** 신국빌딩***호
3rd row서울특별시 강서구우장산동****-*
4th row서울특별시 강서구염창동***-**
5th row서울특별시 강서구화곡제*동***-*
ValueCountFrequency (%)
서울특별시 1130
22.9%
호 585
11.9%
강서구 566
11.5%
번지 426
 
8.6%
층 246
 
5.0%
화곡동 201
 
4.1%
강서구화곡제*동 199
 
4.0%
149
 
3.0%
강서구등촌제*동 109
 
2.2%
등촌동 92
 
1.9%
Other values (503) 1227
24.9%
2024-05-11T14:36:48.174519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 6918
23.5%
3833
13.0%
서 2288
 
7.8%
동 1193
 
4.1%
강 1156
 
3.9%
시 1138
 
3.9%
구 1136
 
3.9%
울 1132
 
3.8%
특 1130
 
3.8%
별 1130
 
3.8%
Other values (311) 8380
28.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 17778
60.4%
Other Punctuation 6943
 
23.6%
Space Separator 3833
 
13.0%
Dash Punctuation 734
 
2.5%
Uppercase Letter 63
 
0.2%
Decimal Number 32
 
0.1%
Close Punctuation 15
 
0.1%
Open Punctuation 15
 
0.1%
Lowercase Letter 12
 
< 0.1%
Letter Number 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 2288
 
12.9%
동 1193
 
6.7%
강 1156
 
6.5%
시 1138
 
6.4%
구 1136
 
6.4%
울 1132
 
6.4%
특 1130
 
6.4%
별 1130
 
6.4%
호 623
 
3.5%
화 603
 
3.4%
Other values (266) 6249
35.2%
Uppercase Letter
ValueCountFrequency (%)
B 16
25.4%
A 5
 
7.9%
I 5
 
7.9%
T 5
 
7.9%
K 4
 
6.3%
M 4
 
6.3%
W 3
 
4.8%
P 3
 
4.8%
F 3
 
4.8%
U 2
 
3.2%
Other values (8) 13
20.6%
Decimal Number
ValueCountFrequency (%)
2 6
18.8%
1 6
18.8%
7 5
15.6%
4 4
12.5%
0 4
12.5%
3 2
 
6.2%
6 2
 
6.2%
8 2
 
6.2%
5 1
 
3.1%
Lowercase Letter
ValueCountFrequency (%)
p 2
16.7%
i 2
16.7%
v 2
16.7%
k 2
16.7%
t 2
16.7%
e 1
8.3%
b 1
8.3%
Other Punctuation
ValueCountFrequency (%)
* 6918
99.6%
, 22
 
0.3%
@ 2
 
< 0.1%
. 1
 
< 0.1%
Letter Number
ValueCountFrequency (%)
Ⅱ 4
80.0%
Ⅰ 1
 
20.0%
Space Separator
ValueCountFrequency (%)
3833
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 734
100.0%
Close Punctuation
ValueCountFrequency (%)
) 15
100.0%
Open Punctuation
ValueCountFrequency (%)
( 15
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 17778
60.4%
Common 11576
39.3%
Latin 80
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 2288
 
12.9%
동 1193
 
6.7%
강 1156
 
6.5%
시 1138
 
6.4%
구 1136
 
6.4%
울 1132
 
6.4%
특 1130
 
6.4%
별 1130
 
6.4%
호 623
 
3.5%
화 603
 
3.4%
Other values (266) 6249
35.2%
Latin
ValueCountFrequency (%)
B 16
20.0%
A 5
 
6.2%
I 5
 
6.2%
T 5
 
6.2%
Ⅱ 4
 
5.0%
K 4
 
5.0%
M 4
 
5.0%
W 3
 
3.8%
P 3
 
3.8%
F 3
 
3.8%
Other values (17) 28
35.0%
Common
ValueCountFrequency (%)
* 6918
59.8%
3833
33.1%
- 734
 
6.3%
, 22
 
0.2%
) 15
 
0.1%
( 15
 
0.1%
2 6
 
0.1%
1 6
 
0.1%
7 5
 
< 0.1%
4 4
 
< 0.1%
Other values (8) 18
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 17778
60.4%
ASCII 11651
39.6%
Number Forms 5
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 6918
59.4%
3833
32.9%
- 734
 
6.3%
, 22
 
0.2%
B 16
 
0.1%
) 15
 
0.1%
( 15
 
0.1%
2 6
 
0.1%
1 6
 
0.1%
A 5
 
< 0.1%
Other values (33) 81
 
0.7%
Hangul
ValueCountFrequency (%)
서 2288
 
12.9%
동 1193
 
6.7%
강 1156
 
6.5%
시 1138
 
6.4%
구 1136
 
6.4%
울 1132
 
6.4%
특 1130
 
6.4%
별 1130
 
6.4%
호 623
 
3.5%
화 603
 
3.4%
Other values (266) 6249
35.2%
Number Forms
ValueCountFrequency (%)
Ⅱ 4
80.0%
Ⅰ 1
 
20.0%

도로명주소
Text

MISSING 

Distinct603
Distinct (%)86.8%
Missing599
Missing (%)46.3%
Memory size10.2 KiB
2024-05-11T14:36:48.588479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length63
Median length47
Mean length34.804317
Min length22

Characters and Unicode

Total characters24189
Distinct characters312
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique538 ?
Unique (%)77.4%

Sample

1st row서울특별시 강서구 강서로 *** (화곡동,,****-* *층)
2nd row서울특별시 강서구 방화동로 **, *층 (방화동)
3rd row서울특별시 강서구 강서로 *** (화곡동)
4th row서울특별시 강서구 양천로 *** (염창동)
5th row서울특별시 강서구 강서로 *** (화곡동,*층)
ValueCountFrequency (%)
서울특별시 695
15.5%
695
15.5%
강서구 695
15.5%
호 346
 
7.7%
층 212
 
4.7%
화곡동 192
 
4.3%
등촌동 88
 
2.0%
양천로 66
 
1.5%
마곡동 62
 
1.4%
공항대로 59
 
1.3%
Other values (496) 1366
30.5%
2024-05-11T14:36:49.184111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 4195
17.3%
3792
15.7%
서 1549
 
6.4%
, 888
 
3.7%
강 854
 
3.5%
동 840
 
3.5%
로 724
 
3.0%
시 700
 
2.9%
( 698
 
2.9%
) 698
 
2.9%
Other values (302) 9251
38.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13677
56.5%
Other Punctuation 5086
 
21.0%
Space Separator 3792
 
15.7%
Open Punctuation 698
 
2.9%
Close Punctuation 698
 
2.9%
Dash Punctuation 119
 
0.5%
Uppercase Letter 72
 
0.3%
Decimal Number 32
 
0.1%
Letter Number 5
 
< 0.1%
Math Symbol 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 1549
 
11.3%
강 854
 
6.2%
동 840
 
6.1%
로 724
 
5.3%
시 700
 
5.1%
구 697
 
5.1%
울 697
 
5.1%
특 695
 
5.1%
별 695
 
5.1%
화 533
 
3.9%
Other values (261) 5693
41.6%
Uppercase Letter
ValueCountFrequency (%)
B 18
25.0%
A 12
16.7%
I 6
 
8.3%
T 4
 
5.6%
M 4
 
5.6%
P 4
 
5.6%
V 3
 
4.2%
S 3
 
4.2%
K 3
 
4.2%
W 3
 
4.2%
Other values (9) 12
16.7%
Decimal Number
ValueCountFrequency (%)
1 6
18.8%
2 6
18.8%
6 6
18.8%
8 4
12.5%
3 3
9.4%
9 2
 
6.2%
4 2
 
6.2%
0 2
 
6.2%
5 1
 
3.1%
Other Punctuation
ValueCountFrequency (%)
* 4195
82.5%
, 888
 
17.5%
. 2
 
< 0.1%
@ 1
 
< 0.1%
Lowercase Letter
ValueCountFrequency (%)
k 2
40.0%
t 2
40.0%
e 1
20.0%
Space Separator
ValueCountFrequency (%)
3792
100.0%
Open Punctuation
ValueCountFrequency (%)
( 698
100.0%
Close Punctuation
ValueCountFrequency (%)
) 698
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 119
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 5
100.0%
Math Symbol
ValueCountFrequency (%)
~ 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 13677
56.5%
Common 10430
43.1%
Latin 82
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 1549
 
11.3%
강 854
 
6.2%
동 840
 
6.1%
로 724
 
5.3%
시 700
 
5.1%
구 697
 
5.1%
울 697
 
5.1%
특 695
 
5.1%
별 695
 
5.1%
화 533
 
3.9%
Other values (261) 5693
41.6%
Latin
ValueCountFrequency (%)
B 18
22.0%
A 12
14.6%
I 6
 
7.3%
Ⅱ 5
 
6.1%
T 4
 
4.9%
M 4
 
4.9%
P 4
 
4.9%
V 3
 
3.7%
S 3
 
3.7%
K 3
 
3.7%
Other values (13) 20
24.4%
Common
ValueCountFrequency (%)
* 4195
40.2%
3792
36.4%
, 888
 
8.5%
( 698
 
6.7%
) 698
 
6.7%
- 119
 
1.1%
1 6
 
0.1%
2 6
 
0.1%
6 6
 
0.1%
~ 5
 
< 0.1%
Other values (8) 17
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 13677
56.5%
ASCII 10507
43.4%
Number Forms 5
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 4195
39.9%
3792
36.1%
, 888
 
8.5%
( 698
 
6.6%
) 698
 
6.6%
- 119
 
1.1%
B 18
 
0.2%
A 12
 
0.1%
I 6
 
0.1%
1 6
 
0.1%
Other values (30) 75
 
0.7%
Hangul
ValueCountFrequency (%)
서 1549
 
11.3%
강 854
 
6.2%
동 840
 
6.1%
로 724
 
5.3%
시 700
 
5.1%
구 697
 
5.1%
울 697
 
5.1%
특 695
 
5.1%
별 695
 
5.1%
화 533
 
3.9%
Other values (261) 5693
41.6%
Number Forms
ValueCountFrequency (%)
Ⅱ 5
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct184
Distinct (%)40.4%
Missing838
Missing (%)64.8%
Infinite0
Infinite (%)0.0%
Mean59570.147
Minimum7503
Maximum157930
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.5 KiB
2024-05-11T14:36:49.390096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7503
5-th percentile7532
Q17621.75
median7761.5
Q3157030
95-th percentile157906
Maximum157930
Range150427
Interquartile range (IQR)149408.25

Descriptive statistics

Standard deviation71363.428
Coefficient of variation (CV)1.197973
Kurtosis-1.5878575
Mean59570.147
Median Absolute Deviation (MAD)176
Skewness0.64735806
Sum27163987
Variance5.0927389 × 109
MonotonicityNot monotonic
2024-05-11T14:36:49.622370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
157010 38
 
2.9%
7604 14
 
1.1%
157030 12
 
0.9%
7631 11
 
0.9%
7802 11
 
0.9%
7639 9
 
0.7%
7803 8
 
0.6%
7532 8
 
0.6%
157200 8
 
0.6%
157930 7
 
0.5%
Other values (174) 330
 
25.5%
(Missing) 838
64.8%
ValueCountFrequency (%)
7503 1
 
0.1%
7505 1
 
0.1%
7506 1
 
0.1%
7509 2
0.2%
7510 1
 
0.1%
7516 3
0.2%
7518 1
 
0.1%
7522 2
0.2%
7524 1
 
0.1%
7526 1
 
0.1%
ValueCountFrequency (%)
157930 7
0.5%
157928 1
 
0.1%
157925 3
0.2%
157924 1
 
0.1%
157922 3
0.2%
157916 1
 
0.1%
157915 2
 
0.2%
157913 2
 
0.2%
157910 1
 
0.1%
157909 1
 
0.1%

사업장명
Text

Distinct1245
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Memory size10.2 KiB
2024-05-11T14:36:50.034140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length22
Mean length7.2163833
Min length2

Characters and Unicode

Total characters9338
Distinct characters580
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1204 ?
Unique (%)93.0%

Sample

1st row중앙고시문화원
2nd row중앙교육개발연구원
3rd row대우자동차제일영업소
4th row대우자동차신구로영업소
5th row대우국민차화곡영업소
ValueCountFrequency (%)
주식회사 81
 
5.1%
인셀덤 13
 
0.8%
주 12
 
0.7%
강서지사 8
 
0.5%
알로에마임 6
 
0.4%
에치와이 6
 
0.4%
강서 6
 
0.4%
이롬라이프 6
 
0.4%
헬스케어 4
 
0.2%
co.,ltd 4
 
0.2%
Other values (1366) 1456
90.9%
2024-05-11T14:36:50.614343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 327
 
3.5%
308
 
3.3%
이 278
 
3.0%
) 270
 
2.9%
( 265
 
2.8%
사 264
 
2.8%
스 182
 
1.9%
리 175
 
1.9%
아 158
 
1.7%
서 136
 
1.5%
Other values (570) 6975
74.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8051
86.2%
Space Separator 308
 
3.3%
Close Punctuation 270
 
2.9%
Open Punctuation 265
 
2.8%
Uppercase Letter 245
 
2.6%
Lowercase Letter 110
 
1.2%
Other Punctuation 49
 
0.5%
Decimal Number 24
 
0.3%
Other Symbol 10
 
0.1%
Dash Punctuation 6
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 327
 
4.1%
이 278
 
3.5%
사 264
 
3.3%
스 182
 
2.3%
리 175
 
2.2%
아 158
 
2.0%
서 136
 
1.7%
지 127
 
1.6%
강 125
 
1.6%
화 115
 
1.4%
Other values (509) 6164
76.6%
Uppercase Letter
ValueCountFrequency (%)
C 24
 
9.8%
S 21
 
8.6%
T 20
 
8.2%
G 17
 
6.9%
A 16
 
6.5%
E 15
 
6.1%
N 14
 
5.7%
K 14
 
5.7%
I 13
 
5.3%
L 13
 
5.3%
Other values (13) 78
31.8%
Lowercase Letter
ValueCountFrequency (%)
o 16
14.5%
e 13
11.8%
s 10
9.1%
c 10
9.1%
t 9
8.2%
d 8
 
7.3%
l 7
 
6.4%
p 5
 
4.5%
i 5
 
4.5%
m 5
 
4.5%
Other values (8) 22
20.0%
Decimal Number
ValueCountFrequency (%)
1 5
20.8%
3 3
12.5%
5 3
12.5%
0 3
12.5%
4 3
12.5%
6 2
 
8.3%
8 2
 
8.3%
2 2
 
8.3%
9 1
 
4.2%
Other Punctuation
ValueCountFrequency (%)
. 28
57.1%
& 13
26.5%
, 4
 
8.2%
? 2
 
4.1%
: 1
 
2.0%
？ 1
 
2.0%
Space Separator
ValueCountFrequency (%)
308
100.0%
Close Punctuation
ValueCountFrequency (%)
) 270
100.0%
Open Punctuation
ValueCountFrequency (%)
( 265
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 10
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8057
86.3%
Common 922
 
9.9%
Latin 355
 
3.8%
Han 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 327
 
4.1%
이 278
 
3.5%
사 264
 
3.3%
스 182
 
2.3%
리 175
 
2.2%
아 158
 
2.0%
서 136
 
1.7%
지 127
 
1.6%
강 125
 
1.6%
화 115
 
1.4%
Other values (508) 6170
76.6%
Latin
ValueCountFrequency (%)
C 24
 
6.8%
S 21
 
5.9%
T 20
 
5.6%
G 17
 
4.8%
o 16
 
4.5%
A 16
 
4.5%
E 15
 
4.2%
N 14
 
3.9%
K 14
 
3.9%
I 13
 
3.7%
Other values (31) 185
52.1%
Common
ValueCountFrequency (%)
308
33.4%
) 270
29.3%
( 265
28.7%
. 28
 
3.0%
& 13
 
1.4%
- 6
 
0.7%
1 5
 
0.5%
, 4
 
0.4%
3 3
 
0.3%
5 3
 
0.3%
Other values (9) 17
 
1.8%
Han
ValueCountFrequency (%)
美 3
75.0%
福 1
 
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8047
86.2%
ASCII 1276
 
13.7%
None 11
 
0.1%
CJK 4
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 327
 
4.1%
이 278
 
3.5%
사 264
 
3.3%
스 182
 
2.3%
리 175
 
2.2%
아 158
 
2.0%
서 136
 
1.7%
지 127
 
1.6%
강 125
 
1.6%
화 115
 
1.4%
Other values (507) 6160
76.6%
ASCII
ValueCountFrequency (%)
308
24.1%
) 270
21.2%
( 265
20.8%
. 28
 
2.2%
C 24
 
1.9%
S 21
 
1.6%
T 20
 
1.6%
G 17
 
1.3%
o 16
 
1.3%
A 16
 
1.3%
Other values (49) 291
22.8%
None
ValueCountFrequency (%)
㈜ 10
90.9%
？ 1
 
9.1%
CJK
ValueCountFrequency (%)
美 3
75.0%
福 1
 
25.0%

최종수정일자
Date

Distinct1085
Distinct (%)83.8%
Missing0
Missing (%)0.0%
Memory size10.2 KiB
Minimum2007-08-06 14:17:57
Maximum2024-05-08 09:13:24
2024-05-11T14:36:50.833666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:36:51.051453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size10.2 KiB
I
1106 
U
188 

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 1106
85.5%
U 188
 
14.5%

Length

2024-05-11T14:36:51.233268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:36:51.385527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 1106
85.5%
u 188
 
14.5%

데이터갱신일자
Date

Distinct194
Distinct (%)15.0%
Missing0
Missing (%)0.0%
Memory size10.2 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:09:00
2024-05-11T14:36:51.585315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:36:51.841246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1294
Missing (%)100.0%
Memory size11.5 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct511
Distinct (%)75.8%
Missing620
Missing (%)47.9%
Infinite0
Infinite (%)0.0%
Mean185997.75
Minimum182268.75
Maximum189145.46
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.5 KiB
2024-05-11T14:36:52.208963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum182268.75
5-th percentile183187.81
Q1185386.45
median186145.82
Q3187013.52
95-th percentile187999.33
Maximum189145.46
Range6876.7031
Interquartile range (IQR)1627.0743

Descriptive statistics

Standard deviation1485.8756
Coefficient of variation (CV)0.0079886752
Kurtosis-0.28148715
Mean185997.75
Median Absolute Deviation (MAD)771.07339
Skewness-0.41042631
Sum1.2536248 × 108
Variance2207826.4
MonotonicityNot monotonic
2024-05-11T14:36:52.513896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
187793.791993128 12
 
0.9%
186301.875540288 7
 
0.5%
189145.455894355 6
 
0.5%
183119.010835348 6
 
0.5%
185357.389827025 6
 
0.5%
186646.289693208 6
 
0.5%
185813.15048215 5
 
0.4%
187999.32555627 5
 
0.4%
187645.622009373 5
 
0.4%
187052.323132425 5
 
0.4%
Other values (501) 611
47.2%
(Missing) 620
47.9%
ValueCountFrequency (%)
182268.752831116 1
0.1%
182524.823835629 1
0.1%
182742.537963411 1
0.1%
182865.612372488 1
0.1%
182872.579435573 1
0.1%
182874.245118806 1
0.1%
182908.612304722 1
0.1%
182914.770762913 1
0.1%
182941.05762285 2
0.2%
182965.91468667 1
0.1%
ValueCountFrequency (%)
189145.455894355 6
0.5%
189102.277524848 2
 
0.2%
189098.806779959 1
 
0.1%
189085.29181102 1
 
0.1%
188907.145870979 1
 
0.1%
188883.085593065 2
 
0.2%
188843.428976776 1
 
0.1%
188791.250134373 1
 
0.1%
188748.513651991 1
 
0.1%
188725.597816942 1
 
0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct511
Distinct (%)75.8%
Missing620
Missing (%)47.9%
Infinite0
Infinite (%)0.0%
Mean449962.48
Minimum447288.07
Maximum453580.91
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.5 KiB
2024-05-11T14:36:52.769753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum447288.07
5-th percentile447598.97
Q1448905.71
median450010.15
Q3450959.55
95-th percentile452298.06
Maximum453580.91
Range6292.8362
Interquartile range (IQR)2053.8398

Descriptive statistics

Standard deviation1428.3617
Coefficient of variation (CV)0.0031744017
Kurtosis-0.85164495
Mean449962.48
Median Absolute Deviation (MAD)1021.9463
Skewness-0.063848508
Sum3.0327471 × 108
Variance2040217.1
MonotonicityNot monotonic
2024-05-11T14:36:53.126472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
449900.703256383 12
 
0.9%
450896.992532972 7
 
0.5%
449483.688743756 6
 
0.5%
451262.6398836 6
 
0.5%
448704.542168164 6
 
0.5%
449525.121062463 6
 
0.5%
450434.088151226 5
 
0.4%
449920.361168751 5
 
0.4%
450792.695579673 5
 
0.4%
450291.97922408 5
 
0.4%
Other values (501) 611
47.2%
(Missing) 620
47.9%
ValueCountFrequency (%)
447288.074069316 1
0.1%
447342.62348669 1
0.1%
447359.949619626 1
0.1%
447379.884364587 1
0.1%
447406.124515211 1
0.1%
447409.082740268 1
0.1%
447456.838723466 1
0.1%
447463.406860485 1
0.1%
447470.974728264 1
0.1%
447479.432373363 1
0.1%
ValueCountFrequency (%)
453580.910247665 1
0.1%
453178.305694113 2
0.2%
452922.98039021 1
0.1%
452825.358000387 1
0.1%
452781.576077741 1
0.1%
452761.493153691 1
0.1%
452713.505241493 2
0.2%
452588.885015501 1
0.1%
452550.19813035 1
0.1%
452543.271249042 1
0.1%

자산규모
Real number (ℝ)

MISSING  ZEROS 

Distinct119
Distinct (%)40.2%
Missing998
Missing (%)77.1%
Infinite0
Infinite (%)0.0%
Mean8.1651776 × 109
Minimum0
Maximum1.7875171 × 1012
Zeros132
Zeros (%)10.2%
Negative0
Negative (%)0.0%
Memory size11.5 KiB
2024-05-11T14:36:53.377395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median10000000
Q32 × 108
95-th percentile5.4149569 × 109
Maximum1.7875171 × 1012
Range1.7875171 × 1012
Interquartile range (IQR)2 × 108

Descriptive statistics

Standard deviation1.0497606 × 1011
Coefficient of variation (CV)12.856555
Kurtosis282.60063
Mean8.1651776 × 109
Median Absolute Deviation (MAD)10000000
Skewness16.656556
Sum2.4168926 × 1012
Variance1.1019973 × 1022
MonotonicityNot monotonic
2024-05-11T14:36:53.642738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 132
 
10.2%
50000000 9
 
0.7%
10000000 9
 
0.7%
20000000 7
 
0.5%
100000000 7
 
0.5%
30000000 5
 
0.4%
200000000 4
 
0.3%
150000000 4
 
0.3%
70000000 3
 
0.2%
1000000 3
 
0.2%
Other values (109) 113
 
8.7%
(Missing) 998
77.1%
ValueCountFrequency (%)
0 132
10.2%
1000000 3
 
0.2%
3000000 1
 
0.1%
5000000 2
 
0.2%
6000000 1
 
0.1%
7000000 1
 
0.1%
8300000 1
 
0.1%
9197000 1
 
0.1%
9463503 1
 
0.1%
10000000 9
 
0.7%
ValueCountFrequency (%)
1787517113000 1
0.1%
225841023068 1
0.1%
133313535157 1
0.1%
62770102000 1
0.1%
30049467350 1
0.1%
22623612477 1
0.1%
21848895513 1
0.1%
16589938076 1
0.1%
12173736850 1
0.1%
9093415782 1
0.1%

부채총액
Real number (ℝ)

MISSING  ZEROS 

Distinct100
Distinct (%)34.0%
Missing1000
Missing (%)77.3%
Infinite0
Infinite (%)0.0%
Mean4.9821914 × 109
Minimum0
Maximum1.0385483 × 1012
Zeros189
Zeros (%)14.6%
Negative0
Negative (%)0.0%
Memory size11.5 KiB
2024-05-11T14:36:53.951594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q396306002
95-th percentile2.7148006 × 109
Maximum1.0385483 × 1012
Range1.0385483 × 1012
Interquartile range (IQR)96306002

Descriptive statistics

Standard deviation6.2177864 × 1010
Coefficient of variation (CV)12.480023
Kurtosis263.67917
Mean4.9821914 × 109
Median Absolute Deviation (MAD)0
Skewness15.9746
Sum1.4647643 × 1012
Variance3.8660868 × 1021
MonotonicityNot monotonic
2024-05-11T14:36:54.212580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 189
 
14.6%
20000000 4
 
0.3%
50000000 3
 
0.2%
5000000 2
 
0.2%
44542471 1
 
0.1%
98676972 1
 
0.1%
36478552 1
 
0.1%
23239710 1
 
0.1%
150000000 1
 
0.1%
222973118 1
 
0.1%
Other values (90) 90
 
7.0%
(Missing) 1000
77.3%
ValueCountFrequency (%)
0 189
14.6%
1945347 1
 
0.1%
2300000 1
 
0.1%
3564000 1
 
0.1%
5000000 2
 
0.2%
6979816 1
 
0.1%
10000000 1
 
0.1%
13334980 1
 
0.1%
14425920 1
 
0.1%
16927155 1
 
0.1%
ValueCountFrequency (%)
1038548272000 1
0.1%
242185490138 1
0.1%
40664631632 1
0.1%
20767980281 1
0.1%
16221364682 1
0.1%
13151185900 1
0.1%
7610509373 1
0.1%
6128437129 1
0.1%
5221598647 1
0.1%
4861597368 1
0.1%

자본금
Real number (ℝ)

MISSING  ZEROS 

Distinct63
Distinct (%)21.2%
Missing997
Missing (%)77.0%
Infinite0
Infinite (%)0.0%
Mean7.9808507 × 108
Minimum-1.6344467 × 1010
Maximum1.1254555 × 1011
Zeros122
Zeros (%)9.4%
Negative3
Negative (%)0.2%
Memory size11.5 KiB
2024-05-11T14:36:54.474113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.6344467 × 1010
5-th percentile0
Q10
median10000000
Q31 × 108
95-th percentile7.9094466 × 108
Maximum1.1254555 × 1011
Range1.2889002 × 1011
Interquartile range (IQR)1 × 108

Descriptive statistics

Standard deviation7.3509746 × 109
Coefficient of variation (CV)9.2107658
Kurtosis187.08307
Mean7.9808507 × 108
Median Absolute Deviation (MAD)10000000
Skewness12.907652
Sum2.3703126 × 1011
Variance5.4036828 × 1019
MonotonicityNot monotonic
2024-05-11T14:36:54.816453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 122
 
9.4%
50000000 30
 
2.3%
100000000 23
 
1.8%
10000000 18
 
1.4%
300000000 7
 
0.5%
20000000 7
 
0.5%
150000000 6
 
0.5%
30000000 6
 
0.5%
1000000 6
 
0.5%
200000000 5
 
0.4%
Other values (53) 67
 
5.2%
(Missing) 997
77.0%
ValueCountFrequency (%)
-16344467070 1
 
0.1%
-149844508 1
 
0.1%
-3481670 1
 
0.1%
0 122
9.4%
1000000 6
 
0.5%
3000000 1
 
0.1%
5000000 4
 
0.3%
5667832 1
 
0.1%
10000000 18
 
1.4%
10465000 1
 
0.1%
ValueCountFrequency (%)
112545554876 1
0.1%
47187667000 1
0.1%
24200447449 1
0.1%
16627296866 1
0.1%
6765454800 1
0.1%
6402247795 1
0.1%
4895388203 1
0.1%
4600000000 1
0.1%
3000000000 2
0.2%
1356303265 1
0.1%

판매방식명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1294
Missing (%)100.0%
Memory size11.5 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)자산규모부채총액자본금판매방식명
03150000199631501002320001019961025<NA>3폐업03폐업처리19990127<NA><NA><NA>02<NA><NA>서울특별시 강서구발산제*동***-* 원영빌딩*층<NA><NA>중앙고시문화원2008-06-04 13:38:32I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
13150000199631501002320002419961111<NA>3폐업03폐업처리19981001<NA><NA><NA>02 697 9383<NA><NA>서울특별시 강서구화곡제*동****-** 신국빌딩***호<NA><NA>중앙교육개발연구원2008-06-04 13:38:02I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
23150000199631501002320002519961111<NA>3폐업03폐업처리19980829<NA><NA><NA>02 607 8244<NA><NA>서울특별시 강서구우장산동****-*<NA><NA>대우자동차제일영업소2008-06-04 13:37:30I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
33150000199631501002320002719961112<NA>3폐업03폐업처리19981024<NA><NA><NA>02 3663 4961<NA><NA>서울특별시 강서구염창동***-**<NA><NA>대우자동차신구로영업소2008-06-04 13:37:04I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
43150000199631501002320003119961113<NA>3폐업03폐업처리19980821<NA><NA><NA>02 698 6700<NA><NA>서울특별시 강서구화곡제*동***-*<NA><NA>대우국민차화곡영업소2008-06-04 13:36:30I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
53150000199631501002321600119960826<NA>3폐업03폐업처리19970429<NA><NA><NA>02<NA><NA>서울특별시 강서구-*-*<NA><NA>(주)풀무원강서식품2008-02-21 00:00:00I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
63150000199631501002321600319960830<NA>3폐업03폐업처리19970226<NA><NA><NA>02<NA><NA>서울특별시 강서구-*-*<NA><NA>산호양행2008-02-21 00:00:00I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
73150000199631501002321600419960830<NA>3폐업03폐업처리20020729<NA><NA><NA>02 3661 1211<NA><NA>서울특별시 강서구-***-**<NA><NA>(주)현우2008-06-04 13:35:56I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
83150000199631501002321600519960912<NA>3폐업03폐업처리19971105<NA><NA><NA>02<NA><NA>서울특별시 강서구-*-*<NA><NA>남양알로에강서중부지사2008-02-21 00:00:00I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
93150000199631501002321600619960923<NA>3폐업03폐업처리19980209<NA><NA><NA>02<NA><NA>서울특별시 강서구-*-*<NA><NA>홍익영상2008-02-21 00:00:00I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)자산규모부채총액자본금판매방식명
1284315000020243150200232000032024-01-18<NA>1영업/정상01정상영업<NA><NA><NA><NA>02-786-6478<NA><NA>서울특별시 강서구 등촌동 *** 등촌 지와인 아파트, 비즈니스센터서울특별시 강서구 양천로 ***, **층 ****호 (등촌동, 등촌 지와인 아파트, 비즈니스센터)7553㈜하이진테크2024-01-18 09:50:52I2023-11-30 22:00:00.0<NA><NA><NA><NA><NA><NA><NA>
1285315000020243150200232000042024-01-18<NA>1영업/정상01정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 마곡동 ***-* 문영 퀸즈파크**차서울특별시 강서구 공항대로 ***, 문영 퀸즈파크**차 ***호 (마곡동)7631주식회사연우바이오2024-01-20 22:25:17I2023-11-30 22:02:00.0<NA>184825.67632450763.336623<NA><NA><NA><NA>
1286315000020243150200232000052024-03-05<NA>1영업/정상01정상영업<NA><NA><NA><NA>2063-1522<NA><NA>서울특별시 강서구 등촌동 *** 플러스존서울특별시 강서구 공항대로**길 **, 플러스존 *층 ***호 (등촌동)7587윤선생 영어교실 등촌센터2024-03-11 19:09:46U2023-12-02 23:03:00.0<NA>186299.742677450792.016506<NA><NA><NA><NA>
1287315000020243150200232000062024-03-14<NA>1영업/정상01정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 화곡동 ****-** 강서뉴타워서울특별시 강서구 화곡로**길 **, 지*층 비**호 (화곡동, 강서뉴타워)7718웰빙홈케어2024-03-14 19:18:55I2023-12-02 23:06:00.0<NA>185384.322721448552.124723<NA><NA><NA><NA>
1288315000020243150200232000072024-03-14<NA>1영업/정상01정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 마곡동 ***-**서울특별시 강서구 마곡중앙*로 **, ***호 (마곡동)7807주)하이럭코리아2024-03-14 18:58:18I2023-12-02 23:06:00.0<NA>184517.238085450700.675002<NA><NA><NA><NA>
1289315000020243150200232000082024-03-20<NA>1영업/정상01정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 내발산동 ***-*서울특별시 강서구 강서로 ***, 지층 *호 (내발산동)7639라이프케어2024-03-20 15:10:05I2023-12-02 22:02:00.0<NA>185431.536159449756.124624<NA><NA><NA><NA>
1290315000020243150200232000092017-01-18<NA>1영업/정상01정상영업<NA><NA><NA><NA>1588-0151<NA><NA>서울특별시 강서구 등촌동 ***서울특별시 강서구 양천로 *** (등촌동)7573에이치디(HD)투어존(주)2024-04-16 21:50:13I2023-12-03 23:08:00.0<NA>186026.901278451688.493849<NA><NA><NA><NA>
1291315000020243150200232000102024-04-19<NA>1영업/정상01정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 화곡동 ***-** 동화빌딩서울특별시 강서구 곰달래로**길 **, 동화빌딩 *층 (화곡동)7738주식회사 에코플래닛2024-04-19 17:23:15I2023-12-03 22:01:00.0<NA>187424.773801447804.362732<NA><NA><NA><NA>
1292315000020243150200232000112024-05-07<NA>1영업/정상01정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 등촌동 ***-*서울특별시 강서구 화곡로**길 **, ****호 (등촌동)7548에이치에스 컴퍼니2024-05-07 19:27:16I2023-12-05 00:09:00.0<NA>187142.520159450809.366186<NA><NA><NA><NA>
1293315000020243150200232000122019-02-25<NA>1영업/정상01정상영업<NA><NA><NA><NA>02-2653-5253<NA><NA>서울특별시 강서구 방화동 ***-** 강동빌딩서울특별시 강서구 양천로**가길 **, 강동빌딩 ***호 (방화동)7604마임 목동총괄본부2024-05-08 09:13:24I2023-12-04 23:00:00.0<NA>183548.293703452303.518832<NA><NA><NA><NA>