Overview

Dataset statistics

Number of variables29
Number of observations1046
Missing cells10531
Missing cells (%)34.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory255.5 KiB
Average record size in memory250.1 B

Variable types

Categorical8
Numeric10
DateTime4
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
Author중구
URLhttps://data.seoul.go.kr/dataList/OA-18753/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
휴업시작일자 is highly imbalanced (97.9%)Imbalance
휴업종료일자 is highly imbalanced (97.9%)Imbalance
재개업일자 is highly imbalanced (97.9%)Imbalance
인허가취소일자 has 950 (90.8%) missing valuesMissing
폐업일자 has 496 (47.4%) missing valuesMissing
전화번호 has 67 (6.4%) missing valuesMissing
소재지면적 has 1046 (100.0%) missing valuesMissing
소재지우편번호 has 859 (82.1%) missing valuesMissing
지번주소 has 58 (5.5%) missing valuesMissing
도로명주소 has 640 (61.2%) missing valuesMissing
도로명우편번호 has 780 (74.6%) missing valuesMissing
업태구분명 has 1046 (100.0%) missing valuesMissing
좌표정보(X) has 634 (60.6%) missing valuesMissing
좌표정보(Y) has 634 (60.6%) missing valuesMissing
자산규모 has 758 (72.5%) missing valuesMissing
부채총액 has 759 (72.6%) missing valuesMissing
자본금 has 758 (72.5%) missing valuesMissing
판매방식명 has 1046 (100.0%) missing valuesMissing
좌표정보(Y) is highly skewed (γ1 = -20.13713074)Skewed
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 121 (11.6%) zerosZeros
부채총액 has 166 (15.9%) zerosZeros
자본금 has 105 (10.0%) zerosZeros

Reproduction

Analysis started2024-05-11 06:51:39.681621
Analysis finished2024-05-11 06:51:40.885494
Duration1.2 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
3010000
1046 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3010000
2nd row3010000
3rd row3010000
4th row3010000
5th row3010000

Common Values

ValueCountFrequency (%)
3010000 1046
100.0%

Length

2024-05-11T15:51:41.029378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:51:41.247391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3010000 1046
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct1046
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0065142 × 1018
Minimum1.996301 × 1018
Maximum2.024301 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.3 KiB
2024-05-11T15:51:41.424944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.996301 × 1018
5-th percentile1.997301 × 1018
Q12.001301 × 1018
median2.004301 × 1018
Q32.011301 × 1018
95-th percentile2.020301 × 1018
Maximum2.024301 × 1018
Range2.8000011 × 1016
Interquartile range (IQR)1 × 1016

Descriptive statistics

Standard deviation7.0140994 × 1015
Coefficient of variation (CV)0.003495664
Kurtosis-0.47781951
Mean2.0065142 × 1018
Median Absolute Deviation (MAD)4 × 1015
Skewness0.68358084
Sum-4.114967 × 1018
Variance4.9197591 × 1031
MonotonicityStrictly increasing
2024-05-11T15:51:42.042037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1996301010023200001 1
 
0.1%
2008301010023200009 1
 
0.1%
2008301010023200011 1
 
0.1%
2008301010023200012 1
 
0.1%
2008301010023200013 1
 
0.1%
2008301010023200014 1
 
0.1%
2008301010023200015 1
 
0.1%
2008301010023200017 1
 
0.1%
2008301010023200020 1
 
0.1%
2008301010023200021 1
 
0.1%
Other values (1036) 1036
99.0%
ValueCountFrequency (%)
1996301010023200001 1
0.1%
1996301010023200002 1
0.1%
1996301010023200003 1
0.1%
1996301010023200004 1
0.1%
1996301010023200005 1
0.1%
1996301010023200006 1
0.1%
1996301010023200007 1
0.1%
1996301010023200008 1
0.1%
1996301010023200009 1
0.1%
1996301010023200010 1
0.1%
ValueCountFrequency (%)
2024301020523200004 1
0.1%
2024301020523200003 1
0.1%
2024301020523200002 1
0.1%
2024301020523200001 1
0.1%
2023301020523200012 1
0.1%
2023301020523200011 1
0.1%
2023301020523200010 1
0.1%
2023301020523200009 1
0.1%
2023301020523200008 1
0.1%
2023301020523200007 1
0.1%

인허가일자
Date

Distinct829
Distinct (%)79.3%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
Minimum1996-07-23 00:00:00
Maximum2024-04-08 00:00:00
2024-05-11T15:51:42.357480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:51:42.622792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Real number (ℝ)

MISSING 

Distinct16
Distinct (%)16.7%
Missing950
Missing (%)90.8%
Infinite0
Infinite (%)0.0%
Mean20102757
Minimum20080520
Maximum20180112
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.3 KiB
2024-05-11T15:51:42.831296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20080520
5-th percentile20080801
Q120080801
median20100414
Q320120622
95-th percentile20130396
Maximum20180112
Range99592
Interquartile range (IQR)39821

Descriptive statistics

Standard deviation19902.028
Coefficient of variation (CV)0.00099001488
Kurtosis2.1889232
Mean20102757
Median Absolute Deviation (MAD)19613
Skewness1.0937814
Sum1.9298646 × 109
Variance3.9609072 × 108
MonotonicityNot monotonic
2024-05-11T15:51:43.049578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
20100414 35
 
3.3%
20080801 25
 
2.4%
20120622 23
 
2.2%
20080630 1
 
0.1%
20080520 1
 
0.1%
20080724 1
 
0.1%
20081208 1
 
0.1%
20110119 1
 
0.1%
20100311 1
 
0.1%
20130902 1
 
0.1%
Other values (6) 6
 
0.6%
(Missing) 950
90.8%
ValueCountFrequency (%)
20080520 1
 
0.1%
20080630 1
 
0.1%
20080724 1
 
0.1%
20080801 25
2.4%
20081208 1
 
0.1%
20100311 1
 
0.1%
20100414 35
3.3%
20110119 1
 
0.1%
20120403 1
 
0.1%
20120622 23
2.2%
ValueCountFrequency (%)
20180112 1
 
0.1%
20170213 1
 
0.1%
20150310 1
 
0.1%
20140128 1
 
0.1%
20130902 1
 
0.1%
20130227 1
 
0.1%
20120622 23
2.2%
20120403 1
 
0.1%
20110119 1
 
0.1%
20100414 35
3.3%

영업상태코드
Categorical

Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
3
705 
4
264 
1
72 
5
 
4
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
3 705
67.4%
4 264
 
25.2%
1 72
 
6.9%
5 4
 
0.4%
2 1
 
0.1%

Length

2024-05-11T15:51:43.269583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:51:43.453865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 705
67.4%
4 264
 
25.2%
1 72
 
6.9%
5 4
 
0.4%
2 1
 
0.1%

영업상태명
Categorical

Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
폐업
705 
취소/말소/만료/정지/중지
264 
영업/정상
72 
제외/삭제/전출
 
4
휴업
 
1

Length

Max length14
Median length2
Mean length5.2581262
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 705
67.4%
취소/말소/만료/정지/중지 264
 
25.2%
영업/정상 72
 
6.9%
제외/삭제/전출 4
 
0.4%
휴업 1
 
0.1%

Length

2024-05-11T15:51:43.674766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:51:43.886957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 705
67.4%
취소/말소/만료/정지/중지 264
 
25.2%
영업/정상 72
 
6.9%
제외/삭제/전출 4
 
0.4%
휴업 1
 
0.1%

상세영업상태코드
Real number (ℝ)

Distinct7
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.375717
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.3 KiB
2024-05-11T15:51:44.073844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q34
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.2871627
Coefficient of variation (CV)0.38130053
Kurtosis3.0895977
Mean3.375717
Median Absolute Deviation (MAD)0
Skewness1.4512865
Sum3531
Variance1.6567878
MonotonicityNot monotonic
2024-05-11T15:51:44.284899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
3 705
67.4%
4 177
 
16.9%
7 87
 
8.3%
1 71
 
6.8%
5 4
 
0.4%
6 1
 
0.1%
2 1
 
0.1%
ValueCountFrequency (%)
1 71
 
6.8%
2 1
 
0.1%
3 705
67.4%
4 177
 
16.9%
5 4
 
0.4%
6 1
 
0.1%
7 87
 
8.3%
ValueCountFrequency (%)
7 87
 
8.3%
6 1
 
0.1%
5 4
 
0.4%
4 177
 
16.9%
3 705
67.4%
2 1
 
0.1%
1 71
 
6.8%

상세영업상태명
Categorical

Distinct7
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
폐업처리
705 
직권취소
177 
직권말소
87 
정상영업
71 
타시군구이관
 
4
Other values (2)
 
2

Length

Max length6
Median length4
Mean length4.0095602
Min length4

Unique

Unique2 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
폐업처리 705
67.4%
직권취소 177
 
16.9%
직권말소 87
 
8.3%
정상영업 71
 
6.8%
타시군구이관 4
 
0.4%
타시군구전입 1
 
0.1%
휴업처리 1
 
0.1%

Length

2024-05-11T15:51:44.534998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:51:44.728994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업처리 705
67.4%
직권취소 177
 
16.9%
직권말소 87
 
8.3%
정상영업 71
 
6.8%
타시군구이관 4
 
0.4%
타시군구전입 1
 
0.1%
휴업처리 1
 
0.1%

폐업일자
Date

MISSING 

Distinct481
Distinct (%)87.5%
Missing496
Missing (%)47.4%
Memory size8.3 KiB
Minimum1998-12-08 00:00:00
Maximum2024-04-11 00:00:00
2024-05-11T15:51:44.910648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:51:45.153380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
<NA>
1041 
20170701
 
1
20070531
 
1
20180404
 
1
20170315
 
1

Length

Max length8
Median length4
Mean length4.0191205
Min length4

Unique

Unique5 ?
Unique (%)0.5%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 1041
99.5%
20170701 1
 
0.1%
20070531 1
 
0.1%
20180404 1
 
0.1%
20170315 1
 
0.1%
20200619 1
 
0.1%

Length

2024-05-11T15:51:45.405008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:51:45.572411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1041
99.5%
20170701 1
 
0.1%
20070531 1
 
0.1%
20180404 1
 
0.1%
20170315 1
 
0.1%
20200619 1
 
0.1%

휴업종료일자
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
<NA>
1041 
20191230
 
1
20080301
 
1
20190403
 
1
20270314
 
1

Length

Max length8
Median length4
Mean length4.0191205
Min length4

Unique

Unique5 ?
Unique (%)0.5%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 1041
99.5%
20191230 1
 
0.1%
20080301 1
 
0.1%
20190403 1
 
0.1%
20270314 1
 
0.1%
20210618 1
 
0.1%

Length

2024-05-11T15:51:45.783915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:51:45.984160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1041
99.5%
20191230 1
 
0.1%
20080301 1
 
0.1%
20190403 1
 
0.1%
20270314 1
 
0.1%
20210618 1
 
0.1%

재개업일자
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
<NA>
1042 
20170619
 
2
20181218
 
1
20200615
 
1

Length

Max length8
Median length4
Mean length4.0152964
Min length4

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 1042
99.6%
20170619 2
 
0.2%
20181218 1
 
0.1%
20200615 1
 
0.1%

Length

2024-05-11T15:51:46.217068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:51:46.411244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1042
99.6%
20170619 2
 
0.2%
20181218 1
 
0.1%
20200615 1
 
0.1%

전화번호
Text

MISSING 

Distinct865
Distinct (%)88.4%
Missing67
Missing (%)6.4%
Memory size8.3 KiB
2024-05-11T15:51:46.808103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length14
Mean length11.505618
Min length1

Characters and Unicode

Total characters11264
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

Unique818 ?
Unique (%)83.6%

Sample

1st row02 267 1035
2nd row02 2267 2328
3rd row02 3442 6767
4th row02 2237 2011
5th row02 273 0074
ValueCountFrequency (%)
02 668
30.6%
2233 20
 
0.9%
2236 15
 
0.7%
774 15
 
0.7%
2285 14
 
0.6%
2234 13
 
0.6%
319 13
 
0.6%
775 13
 
0.6%
776 13
 
0.6%
777 13
 
0.6%
Other values (994) 1384
63.5%
2024-05-11T15:51:47.358989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 2152
19.1%
2115
18.8%
0 1524
13.5%
7 927
8.2%
3 777
 
6.9%
5 661
 
5.9%
1 631
 
5.6%
6 580
 
5.1%
8 494
 
4.4%
4 481
 
4.3%
Other values (5) 922
8.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8662
76.9%
Space Separator 2115
 
18.8%
Dash Punctuation 477
 
4.2%
Math Symbol 6
 
0.1%
Close Punctuation 3
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 2152
24.8%
0 1524
17.6%
7 927
10.7%
3 777
 
9.0%
5 661
 
7.6%
1 631
 
7.3%
6 580
 
6.7%
8 494
 
5.7%
4 481
 
5.6%
9 435
 
5.0%
Space Separator
ValueCountFrequency (%)
2115
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 477
100.0%
Math Symbol
ValueCountFrequency (%)
~ 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 11264
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 2152
19.1%
2115
18.8%
0 1524
13.5%
7 927
8.2%
3 777
 
6.9%
5 661
 
5.9%
1 631
 
5.6%
6 580
 
5.1%
8 494
 
4.4%
4 481
 
4.3%
Other values (5) 922
8.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11264
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 2152
19.1%
2115
18.8%
0 1524
13.5%
7 927
8.2%
3 777
 
6.9%
5 661
 
5.9%
1 631
 
5.6%
6 580
 
5.1%
8 494
 
4.4%
4 481
 
4.3%
Other values (5) 922
8.2%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1046
Missing (%)100.0%
Memory size9.3 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct72
Distinct (%)38.5%
Missing859
Missing (%)82.1%
Infinite0
Infinite (%)0.0%
Mean103301.33
Minimum100011
Maximum561180
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.3 KiB
2024-05-11T15:51:47.547403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum100011
5-th percentile100013
Q1100115
median100330
Q3100450
95-th percentile100859.2
Maximum561180
Range461169
Interquartile range (IQR)335

Descriptive statistics

Standard deviation33845.522
Coefficient of variation (CV)0.3276388
Kurtosis182.94849
Mean103301.33
Median Absolute Deviation (MAD)134
Skewness13.461492
Sum19317348
Variance1.1455194 × 109
MonotonicityNot monotonic
2024-05-11T15:51:47.722145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100450 33
 
3.2%
100196 11
 
1.1%
100013 8
 
0.8%
100411 7
 
0.7%
100400 6
 
0.6%
100250 5
 
0.5%
100012 5
 
0.5%
100060 5
 
0.5%
100101 5
 
0.5%
100220 4
 
0.4%
Other values (62) 98
 
9.4%
(Missing) 859
82.1%
ValueCountFrequency (%)
100011 2
 
0.2%
100012 5
0.5%
100013 8
0.8%
100014 1
 
0.1%
100015 1
 
0.1%
100021 1
 
0.1%
100022 1
 
0.1%
100032 2
 
0.2%
100041 1
 
0.1%
100051 2
 
0.2%
ValueCountFrequency (%)
561180 1
0.1%
135887 1
0.1%
122043 1
0.1%
120101 1
0.1%
110450 1
0.1%
110121 1
0.1%
100953 1
0.1%
100870 2
0.2%
100861 1
0.1%
100855 2
0.2%

지번주소
Text

MISSING 

Distinct705
Distinct (%)71.4%
Missing58
Missing (%)5.5%
Memory size8.3 KiB
2024-05-11T15:51:48.049752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length75
Median length62
Mean length42.911943
Min length12

Characters and Unicode

Total characters42397
Distinct characters295
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique585 ?
Unique (%)59.2%

Sample

1st row서울특별시 중구 묵정동 **-**
2nd row서울특별시 중구 초동 ***-**
3rd row서울특별시 중구 묵정동 **-*
4th row서울특별시 중구 신당동 ***-*
5th row서울특별시 중구 입정동 ***-* 금도빌딩***-호
ValueCountFrequency (%)
서울특별시 976
19.1%
중구 970
18.9%
733
14.3%
호 369
 
7.2%
번지 300
 
5.9%
신당동 222
 
4.3%
층 169
 
3.3%
을지로*가 116
 
2.3%
충무로*가 67
 
1.3%
서소문동 45
 
0.9%
Other values (473) 1155
22.5%
2024-05-11T15:51:48.711718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
22054
52.0%
* 5346
 
12.6%
서 1034
 
2.4%
중 995
 
2.3%
별 986
 
2.3%
시 985
 
2.3%
울 985
 
2.3%
구 984
 
2.3%
특 977
 
2.3%
동 778
 
1.8%
Other values (285) 7273
 
17.2%

Most occurring categories

ValueCountFrequency (%)
Space Separator 22054
52.0%
Other Letter 14155
33.4%
Other Punctuation 5361
 
12.6%
Dash Punctuation 694
 
1.6%
Uppercase Letter 86
 
0.2%
Open Punctuation 14
 
< 0.1%
Close Punctuation 14
 
< 0.1%
Lowercase Letter 12
 
< 0.1%
Decimal Number 5
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 1034
 
7.3%
중 995
 
7.0%
별 986
 
7.0%
시 985
 
7.0%
울 985
 
7.0%
구 984
 
7.0%
특 977
 
6.9%
동 778
 
5.5%
가 465
 
3.3%
지 454
 
3.2%
Other values (249) 5512
38.9%
Uppercase Letter
ValueCountFrequency (%)
B 13
15.1%
A 11
12.8%
T 10
11.6%
N 7
8.1%
R 7
8.1%
E 6
7.0%
K 6
7.0%
C 6
7.0%
D 5
 
5.8%
S 3
 
3.5%
Other values (6) 12
14.0%
Lowercase Letter
ValueCountFrequency (%)
e 3
25.0%
r 2
16.7%
s 2
16.7%
w 1
 
8.3%
o 1
 
8.3%
t 1
 
8.3%
a 1
 
8.3%
i 1
 
8.3%
Decimal Number
ValueCountFrequency (%)
1 2
40.0%
4 1
20.0%
5 1
20.0%
2 1
20.0%
Other Punctuation
ValueCountFrequency (%)
* 5346
99.7%
, 13
 
0.2%
/ 2
 
< 0.1%
Space Separator
ValueCountFrequency (%)
22054
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 694
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 28144
66.4%
Hangul 14155
33.4%
Latin 98
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 1034
 
7.3%
중 995
 
7.0%
별 986
 
7.0%
시 985
 
7.0%
울 985
 
7.0%
구 984
 
7.0%
특 977
 
6.9%
동 778
 
5.5%
가 465
 
3.3%
지 454
 
3.2%
Other values (249) 5512
38.9%
Latin
ValueCountFrequency (%)
B 13
13.3%
A 11
11.2%
T 10
10.2%
N 7
 
7.1%
R 7
 
7.1%
E 6
 
6.1%
K 6
 
6.1%
C 6
 
6.1%
D 5
 
5.1%
S 3
 
3.1%
Other values (14) 24
24.5%
Common
ValueCountFrequency (%)
22054
78.4%
* 5346
 
19.0%
- 694
 
2.5%
( 14
 
< 0.1%
) 14
 
< 0.1%
, 13
 
< 0.1%
/ 2
 
< 0.1%
1 2
 
< 0.1%
~ 2
 
< 0.1%
4 1
 
< 0.1%
Other values (2) 2
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 28242
66.6%
Hangul 14155
33.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
22054
78.1%
* 5346
 
18.9%
- 694
 
2.5%
( 14
 
< 0.1%
) 14
 
< 0.1%
B 13
 
< 0.1%
, 13
 
< 0.1%
A 11
 
< 0.1%
T 10
 
< 0.1%
N 7
 
< 0.1%
Other values (26) 66
 
0.2%
Hangul
ValueCountFrequency (%)
서 1034
 
7.3%
중 995
 
7.0%
별 986
 
7.0%
시 985
 
7.0%
울 985
 
7.0%
구 984
 
7.0%
특 977
 
6.9%
동 778
 
5.5%
가 465
 
3.3%
지 454
 
3.2%
Other values (249) 5512
38.9%

도로명주소
Text

MISSING 

Distinct359
Distinct (%)88.4%
Missing640
Missing (%)61.2%
Memory size8.3 KiB
2024-05-11T15:51:49.040051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length68
Median length45
Mean length33.795567
Min length22

Characters and Unicode

Total characters13721
Distinct characters281
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique333 ?
Unique (%)82.0%

Sample

1st row서울특별시 중구 수표로 **, *층 (충무로*가)
2nd row서울특별시 중구 동호로 *** (신당동,***호)
3rd row서울특별시 중구 남대문시장*길 **-**, 남대문수입상가 *층 **,**호 (남창동)
4th row서울특별시 중구 다산로 **-*, *층 (신당동)
5th row서울특별시 중구 다산로 ** (신당동,남산타운*상가***)
ValueCountFrequency (%)
421
16.2%
서울특별시 405
15.6%
중구 399
15.3%
층 158
 
6.1%
호 137
 
5.3%
신당동 68
 
2.6%
퇴계로 43
 
1.7%
을지로*가 42
 
1.6%
을지로 34
 
1.3%
다산로 30
 
1.2%
Other values (402) 867
33.3%
2024-05-11T15:51:49.524729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 2306
16.8%
2207
 
16.1%
로 529
 
3.9%
, 463
 
3.4%
서 444
 
3.2%
중 421
 
3.1%
시 418
 
3.0%
) 413
 
3.0%
( 413
 
3.0%
구 412
 
3.0%
Other values (271) 5695
41.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7764
56.6%
Other Punctuation 2770
 
20.2%
Space Separator 2207
 
16.1%
Close Punctuation 413
 
3.0%
Open Punctuation 413
 
3.0%
Uppercase Letter 84
 
0.6%
Dash Punctuation 48
 
0.3%
Lowercase Letter 12
 
0.1%
Decimal Number 8
 
0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 529
 
6.8%
서 444
 
5.7%
중 421
 
5.4%
시 418
 
5.4%
구 412
 
5.3%
울 411
 
5.3%
별 411
 
5.3%
특 405
 
5.2%
동 390
 
5.0%
호 219
 
2.8%
Other values (231) 3704
47.7%
Uppercase Letter
ValueCountFrequency (%)
B 13
15.5%
A 11
13.1%
T 8
9.5%
R 7
8.3%
N 7
8.3%
E 6
7.1%
C 6
7.1%
S 4
 
4.8%
K 4
 
4.8%
D 4
 
4.8%
Other values (9) 14
16.7%
Lowercase Letter
ValueCountFrequency (%)
e 3
25.0%
r 2
16.7%
s 2
16.7%
i 1
 
8.3%
a 1
 
8.3%
t 1
 
8.3%
o 1
 
8.3%
w 1
 
8.3%
Decimal Number
ValueCountFrequency (%)
2 3
37.5%
0 2
25.0%
3 1
 
12.5%
4 1
 
12.5%
1 1
 
12.5%
Other Punctuation
ValueCountFrequency (%)
* 2306
83.2%
, 463
 
16.7%
/ 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
2207
100.0%
Close Punctuation
ValueCountFrequency (%)
) 413
100.0%
Open Punctuation
ValueCountFrequency (%)
( 413
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 48
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7764
56.6%
Common 5861
42.7%
Latin 96
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 529
 
6.8%
서 444
 
5.7%
중 421
 
5.4%
시 418
 
5.4%
구 412
 
5.3%
울 411
 
5.3%
별 411
 
5.3%
특 405
 
5.2%
동 390
 
5.0%
호 219
 
2.8%
Other values (231) 3704
47.7%
Latin
ValueCountFrequency (%)
B 13
13.5%
A 11
11.5%
T 8
 
8.3%
R 7
 
7.3%
N 7
 
7.3%
E 6
 
6.2%
C 6
 
6.2%
S 4
 
4.2%
K 4
 
4.2%
D 4
 
4.2%
Other values (17) 26
27.1%
Common
ValueCountFrequency (%)
* 2306
39.3%
2207
37.7%
, 463
 
7.9%
) 413
 
7.0%
( 413
 
7.0%
- 48
 
0.8%
2 3
 
0.1%
0 2
 
< 0.1%
~ 2
 
< 0.1%
3 1
 
< 0.1%
Other values (3) 3
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7764
56.6%
ASCII 5957
43.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 2306
38.7%
2207
37.0%
, 463
 
7.8%
) 413
 
6.9%
( 413
 
6.9%
- 48
 
0.8%
B 13
 
0.2%
A 11
 
0.2%
T 8
 
0.1%
R 7
 
0.1%
Other values (30) 68
 
1.1%
Hangul
ValueCountFrequency (%)
로 529
 
6.8%
서 444
 
5.7%
중 421
 
5.4%
시 418
 
5.4%
구 412
 
5.3%
울 411
 
5.3%
별 411
 
5.3%
특 405
 
5.2%
동 390
 
5.0%
호 219
 
2.8%
Other values (231) 3704
47.7%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct113
Distinct (%)42.5%
Missing780
Missing (%)74.6%
Infinite0
Infinite (%)0.0%
Mean33408.711
Minimum4500
Maximum100953
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.3 KiB
2024-05-11T15:51:49.754737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4500
5-th percentile4513
Q14539
median4590
Q3100067.5
95-th percentile100828
Maximum100953
Range96453
Interquartile range (IQR)95528.5

Descriptive statistics

Standard deviation44069.102
Coefficient of variation (CV)1.3190902
Kurtosis-1.2455467
Mean33408.711
Median Absolute Deviation (MAD)56
Skewness0.87395496
Sum8886717
Variance1.9420858 × 109
MonotonicityNot monotonic
2024-05-11T15:51:50.006068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4539 11
 
1.1%
4514 10
 
1.0%
4599 6
 
0.6%
100012 6
 
0.6%
4561 5
 
0.5%
4534 5
 
0.5%
4533 5
 
0.5%
4598 5
 
0.5%
4513 5
 
0.5%
4564 5
 
0.5%
Other values (103) 203
 
19.4%
(Missing) 780
74.6%
ValueCountFrequency (%)
4500 1
 
0.1%
4503 1
 
0.1%
4505 3
 
0.3%
4506 2
 
0.2%
4511 2
 
0.2%
4512 1
 
0.1%
4513 5
0.5%
4514 10
1.0%
4516 3
 
0.3%
4519 1
 
0.1%
ValueCountFrequency (%)
100953 1
0.1%
100870 2
0.2%
100866 1
0.1%
100863 1
0.1%
100861 1
0.1%
100860 2
0.2%
100855 2
0.2%
100844 1
0.1%
100842 1
0.1%
100840 1
0.1%

사업장명
Text

Distinct1016
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
2024-05-11T15:51:50.366275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length20
Mean length7.4493308
Min length1

Characters and Unicode

Total characters7792
Distinct characters537
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

Unique990 ?
Unique (%)94.6%

Sample

1st row신영출판사
2nd row신우사
3rd row삼진월드엔젤스
4th row양우당
5th row성우출판사
ValueCountFrequency (%)
주식회사 65
 
5.2%
주 8
 
0.6%
대리점 4
 
0.3%
인셀덤 4
 
0.3%
종근당건강 3
 
0.2%
쌍용자동차 3
 
0.2%
아시아국제결혼정보 3
 
0.2%
신당지사 3
 
0.2%
서원라이프 3
 
0.2%
드림포스 3
 
0.2%
Other values (1102) 1142
92.0%
2024-05-11T15:51:51.019632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 462
 
5.9%
( 380
 
4.9%
) 379
 
4.9%
이 253
 
3.2%
스 228
 
2.9%
195
 
2.5%
사 165
 
2.1%
리 129
 
1.7%
아 125
 
1.6%
에 117
 
1.5%
Other values (527) 5359
68.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6398
82.1%
Open Punctuation 380
 
4.9%
Close Punctuation 379
 
4.9%
Uppercase Letter 202
 
2.6%
Space Separator 195
 
2.5%
Lowercase Letter 148
 
1.9%
Decimal Number 34
 
0.4%
Other Punctuation 33
 
0.4%
Dash Punctuation 21
 
0.3%
Other Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 462
 
7.2%
이 253
 
4.0%
스 228
 
3.6%
사 165
 
2.6%
리 129
 
2.0%
아 125
 
2.0%
에 117
 
1.8%
식 89
 
1.4%
회 89
 
1.4%
지 82
 
1.3%
Other values (464) 4659
72.8%
Uppercase Letter
ValueCountFrequency (%)
S 27
13.4%
C 21
 
10.4%
M 16
 
7.9%
K 14
 
6.9%
E 12
 
5.9%
O 11
 
5.4%
N 11
 
5.4%
A 11
 
5.4%
L 11
 
5.4%
I 9
 
4.5%
Other values (13) 59
29.2%
Lowercase Letter
ValueCountFrequency (%)
e 22
14.9%
a 21
14.2%
o 12
 
8.1%
n 10
 
6.8%
r 9
 
6.1%
m 9
 
6.1%
t 9
 
6.1%
l 8
 
5.4%
u 6
 
4.1%
i 6
 
4.1%
Other values (11) 36
24.3%
Decimal Number
ValueCountFrequency (%)
0 17
50.0%
1 5
 
14.7%
2 3
 
8.8%
4 2
 
5.9%
3 2
 
5.9%
5 2
 
5.9%
6 1
 
2.9%
9 1
 
2.9%
8 1
 
2.9%
Other Punctuation
ValueCountFrequency (%)
. 25
75.8%
& 5
 
15.2%
, 1
 
3.0%
' 1
 
3.0%
/ 1
 
3.0%
Open Punctuation
ValueCountFrequency (%)
( 380
100.0%
Close Punctuation
ValueCountFrequency (%)
) 379
100.0%
Space Separator
ValueCountFrequency (%)
195
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 21
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6400
82.1%
Common 1042
 
13.4%
Latin 350
 
4.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 462
 
7.2%
이 253
 
4.0%
스 228
 
3.6%
사 165
 
2.6%
리 129
 
2.0%
아 125
 
2.0%
에 117
 
1.8%
식 89
 
1.4%
회 89
 
1.4%
지 82
 
1.3%
Other values (465) 4661
72.8%
Latin
ValueCountFrequency (%)
S 27
 
7.7%
e 22
 
6.3%
a 21
 
6.0%
C 21
 
6.0%
M 16
 
4.6%
K 14
 
4.0%
o 12
 
3.4%
E 12
 
3.4%
O 11
 
3.1%
N 11
 
3.1%
Other values (34) 183
52.3%
Common
ValueCountFrequency (%)
( 380
36.5%
) 379
36.4%
195
18.7%
. 25
 
2.4%
- 21
 
2.0%
0 17
 
1.6%
& 5
 
0.5%
1 5
 
0.5%
2 3
 
0.3%
4 2
 
0.2%
Other values (8) 10
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6398
82.1%
ASCII 1392
 
17.9%
None 2
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 462
 
7.2%
이 253
 
4.0%
스 228
 
3.6%
사 165
 
2.6%
리 129
 
2.0%
아 125
 
2.0%
에 117
 
1.8%
식 89
 
1.4%
회 89
 
1.4%
지 82
 
1.3%
Other values (464) 4659
72.8%
ASCII
ValueCountFrequency (%)
( 380
27.3%
) 379
27.2%
195
14.0%
S 27
 
1.9%
. 25
 
1.8%
e 22
 
1.6%
- 21
 
1.5%
a 21
 
1.5%
C 21
 
1.5%
0 17
 
1.2%
Other values (52) 284
20.4%
None
ValueCountFrequency (%)
㈜ 2
100.0%

최종수정일자
Date

Distinct624
Distinct (%)59.7%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
Minimum2007-09-06 17:45:15
Maximum2024-05-01 13:19:13
2024-05-11T15:51:51.284352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:51:51.529898image/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 size8.3 KiB
I
899 
U
147 

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 899
85.9%
U 147
 
14.1%

Length

2024-05-11T15:51:51.720786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:51:51.869489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 899
85.9%
u 147
 
14.1%

데이터갱신일자
Date

Distinct128
Distinct (%)12.2%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:03:00
2024-05-11T15:51:52.333097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:51:52.504063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1046
Missing (%)100.0%
Memory size9.3 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct275
Distinct (%)66.7%
Missing634
Missing (%)60.6%
Infinite0
Infinite (%)0.0%
Mean199488.24
Minimum193097.29
Maximum211530.19
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.3 KiB
2024-05-11T15:51:52.694876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum193097.29
5-th percentile197403.02
Q1198160.77
median199454.68
Q3200674.52
95-th percentile201693.29
Maximum211530.19
Range18432.902
Interquartile range (IQR)2513.7538

Descriptive statistics

Standard deviation1552.3855
Coefficient of variation (CV)0.0077818397
Kurtosis7.9184718
Mean199488.24
Median Absolute Deviation (MAD)1223.9101
Skewness0.89806299
Sum82189156
Variance2409900.9
MonotonicityNot monotonic
2024-05-11T15:51:52.896332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
198477.517150403 10
 
1.0%
197786.630049666 9
 
0.9%
200613.510297669 8
 
0.8%
197566.862311117 7
 
0.7%
198744.433228989 6
 
0.6%
200612.848675101 6
 
0.6%
200912.763957462 6
 
0.6%
200394.851756721 5
 
0.5%
199186.971559131 5
 
0.5%
200640.466334248 4
 
0.4%
Other values (265) 346
33.1%
(Missing) 634
60.6%
ValueCountFrequency (%)
193097.290359657 1
 
0.1%
195422.058970156 1
 
0.1%
196697.116895888 1
 
0.1%
196743.854095597 1
 
0.1%
196745.678029596 1
 
0.1%
196808.867024038 2
0.2%
196864.942838297 1
 
0.1%
196948.933328771 4
0.4%
197012.0 1
 
0.1%
197028.380586459 1
 
0.1%
ValueCountFrequency (%)
211530.192141 1
0.1%
202213.0 1
0.1%
202128.136971071 1
0.1%
201992.413564529 1
0.1%
201962.76537651 1
0.1%
201929.950414626 1
0.1%
201906.868766258 1
0.1%
201872.286219 1
0.1%
201866.039519433 1
0.1%
201853.827140376 1
0.1%

좌표정보(Y)
Real number (ℝ)

MISSING  SKEWED 

Distinct275
Distinct (%)66.7%
Missing634
Missing (%)60.6%
Infinite0
Infinite (%)0.0%
Mean450638.54
Minimum259480.65
Maximum457825.08
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.3 KiB
2024-05-11T15:51:53.187476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum259480.65
5-th percentile450078.86
Q1450756.59
median451167.97
Q3451473.18
95-th percentile451793.88
Maximum457825.08
Range198344.43
Interquartile range (IQR)716.5925

Descriptive statistics

Standard deviation9465.4025
Coefficient of variation (CV)0.021004423
Kurtosis407.66601
Mean450638.54
Median Absolute Deviation (MAD)345.84895
Skewness-20.137131
Sum1.8566308 × 108
Variance89593845
MonotonicityNot monotonic
2024-05-11T15:51:53.460095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
451579.634210825 10
 
1.0%
451192.227609488 9
 
0.9%
451817.515366883 8
 
0.8%
451100.772883934 7
 
0.7%
451677.065126229 6
 
0.6%
451299.379284015 6
 
0.6%
450078.855010335 6
 
0.6%
451398.897492225 5
 
0.5%
450840.2405318 5
 
0.5%
449978.493556843 4
 
0.4%
Other values (265) 346
33.1%
(Missing) 634
60.6%
ValueCountFrequency (%)
259480.648436 1
 
0.1%
446139.884099294 1
 
0.1%
449638.824308081 1
 
0.1%
449687.143213423 3
0.3%
449703.239755874 1
 
0.1%
449825.425393315 1
 
0.1%
449952.210667538 1
 
0.1%
449978.493556843 4
0.4%
449981.846842871 1
 
0.1%
449989.938509479 1
 
0.1%
ValueCountFrequency (%)
457825.077893205 1
0.1%
455422.498445639 1
0.1%
452471.681673191 1
0.1%
452303.262414 1
0.1%
452019.212642931 1
0.1%
451908.357632586 1
0.1%
451837.481623546 1
0.1%
451836.458256618 1
0.1%
451827.973207366 2
0.2%
451823.532462914 1
0.1%

자산규모
Real number (ℝ)

MISSING  ZEROS 

Distinct130
Distinct (%)45.1%
Missing758
Missing (%)72.5%
Infinite0
Infinite (%)0.0%
Mean1.8212544 × 1011
Minimum0
Maximum3.0839367 × 1013
Zeros121
Zeros (%)11.6%
Negative0
Negative (%)0.0%
Memory size9.3 KiB
2024-05-11T15:51:53.737190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median15000000
Q34.1870239 × 108
95-th percentile1.337336 × 1011
Maximum3.0839367 × 1013
Range3.0839367 × 1013
Interquartile range (IQR)4.1870239 × 108

Descriptive statistics

Standard deviation1.9177144 × 1012
Coefficient of variation (CV)10.529635
Kurtosis231.63497
Mean1.8212544 × 1011
Median Absolute Deviation (MAD)15000000
Skewness14.79372
Sum5.2452127 × 1013
Variance3.6776286 × 1024
MonotonicityNot monotonic
2024-05-11T15:51:53.963822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 121
 
11.6%
50000000 11
 
1.1%
10000000 7
 
0.7%
100000000 6
 
0.6%
20000000 4
 
0.4%
30000000 4
 
0.4%
200000000 3
 
0.3%
300000000 3
 
0.3%
15000000 2
 
0.2%
1000000 2
 
0.2%
Other values (120) 125
 
12.0%
(Missing) 758
72.5%
ValueCountFrequency (%)
0 121
11.6%
1 1
 
0.1%
2 1
 
0.1%
1000 1
 
0.1%
5000 1
 
0.1%
1000000 2
 
0.2%
4357509 1
 
0.1%
5000000 1
 
0.1%
5923112 1
 
0.1%
8295020 1
 
0.1%
ValueCountFrequency (%)
30839366596041 1
0.1%
9822542561050 1
0.1%
2865780751590 1
0.1%
1776094000000 1
0.1%
1475517927000 1
0.1%
1417788445829 1
0.1%
959443240000 1
0.1%
706808180000 1
0.1%
420828990971 1
0.1%
286600888000 1
0.1%

부채총액
Real number (ℝ)

MISSING  ZEROS 

Distinct119
Distinct (%)41.5%
Missing759
Missing (%)72.6%
Infinite0
Infinite (%)0.0%
Mean9.2415888 × 1010
Minimum0
Maximum1.3449628 × 1013
Zeros166
Zeros (%)15.9%
Negative0
Negative (%)0.0%
Memory size9.3 KiB
2024-05-11T15:51:54.185222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33.0627396 × 108
95-th percentile1.0576179 × 1011
Maximum1.3449628 × 1013
Range1.3449628 × 1013
Interquartile range (IQR)3.0627396 × 108

Descriptive statistics

Standard deviation8.9718899 × 1011
Coefficient of variation (CV)9.7081682
Kurtosis183.68737
Mean9.2415888 × 1010
Median Absolute Deviation (MAD)0
Skewness13.127153
Sum2.652336 × 1013
Variance8.0494809 × 1023
MonotonicityNot monotonic
2024-05-11T15:51:54.459036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 166
 
15.9%
80214250 2
 
0.2%
50000000 2
 
0.2%
100000000 2
 
0.2%
91395113 1
 
0.1%
21271962205 1
 
0.1%
5883964977 1
 
0.1%
950029000 1
 
0.1%
1244937999 1
 
0.1%
387367505 1
 
0.1%
Other values (109) 109
 
10.4%
(Missing) 759
72.6%
ValueCountFrequency (%)
0 166
15.9%
4 1
 
0.1%
1000 1
 
0.1%
481083 1
 
0.1%
640473 1
 
0.1%
923850 1
 
0.1%
1343499 1
 
0.1%
1636368 1
 
0.1%
2000000 1
 
0.1%
5000000 1
 
0.1%
ValueCountFrequency (%)
13449627680406 1
0.1%
6815472285429 1
0.1%
1534025000000 1
0.1%
1457621184583 1
0.1%
520718805237 1
0.1%
387657073000 1
0.1%
356919210950 1
0.1%
231830105000 1
0.1%
228687040055 1
0.1%
219553317000 1
0.1%

자본금
Real number (ℝ)

MISSING  ZEROS 

Distinct86
Distinct (%)29.9%
Missing758
Missing (%)72.5%
Infinite0
Infinite (%)0.0%
Mean6.9435041 × 109
Minimum-1.4449969 × 109
Maximum6.4865378 × 1011
Zeros105
Zeros (%)10.0%
Negative4
Negative (%)0.4%
Memory size9.3 KiB
2024-05-11T15:51:54.715428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.4449969 × 109
5-th percentile0
Q10
median10000000
Q31.5 × 108
95-th percentile2.5399442 × 1010
Maximum6.4865378 × 1011
Range6.5009877 × 1011
Interquartile range (IQR)1.5 × 108

Descriptive statistics

Standard deviation4.5419827 × 1010
Coefficient of variation (CV)6.5413409
Kurtosis145.59796
Mean6.9435041 × 109
Median Absolute Deviation (MAD)10000000
Skewness11.21192
Sum1.9997292 × 1012
Variance2.0629607 × 1021
MonotonicityNot monotonic
2024-05-11T15:51:54.944835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 105
 
10.0%
50000000 31
 
3.0%
10000000 18
 
1.7%
100000000 12
 
1.1%
300000000 10
 
1.0%
30000000 9
 
0.9%
5000000 8
 
0.8%
150000000 5
 
0.5%
200000000 5
 
0.5%
1000000 4
 
0.4%
Other values (76) 81
 
7.7%
(Missing) 758
72.5%
ValueCountFrequency (%)
-1444996935 1
 
0.1%
-170564900 1
 
0.1%
-111001161 1
 
0.1%
-67137975 1
 
0.1%
0 105
10.0%
2 1
 
0.1%
4 1
 
0.1%
1000 1
 
0.1%
3000 1
 
0.1%
50000 1
 
0.1%
ValueCountFrequency (%)
648653775000 1
0.1%
266900616671 1
0.1%
242069000000 1
0.1%
155700000000 1
0.1%
90900000000 1
0.1%
83600000000 1
0.1%
49991990768 1
0.1%
45386612709 1
0.1%
44740002000 1
0.1%
44639000000 1
0.1%

판매방식명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1046
Missing (%)100.0%
Memory size9.3 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)자산규모부채총액자본금판매방식명
03010000199630101002320000119960723<NA>3폐업3폐업처리<NA><NA><NA><NA>02 267 1035<NA><NA>서울특별시 중구 묵정동 **-**<NA><NA>신영출판사2008-02-21 00:00:00I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
13010000199630101002320000219960808<NA>3폐업3폐업처리20000808<NA><NA><NA>02 2267 2328<NA><NA>서울특별시 중구 초동 ***-**<NA><NA>신우사2008-02-21 00:00:00I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
23010000199630101002320000319960808<NA>3폐업3폐업처리20000429<NA><NA><NA>02 3442 6767<NA><NA>서울특별시 중구 묵정동 **-*<NA><NA>삼진월드엔젤스2008-02-21 00:00:00I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
33010000199630101002320000419960828<NA>3폐업3폐업처리19991130<NA><NA><NA>02 2237 2011<NA><NA>서울특별시 중구 신당동 ***-*<NA><NA>양우당2008-02-21 00:00:00I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
43010000199630101002320000519960828<NA>3폐업3폐업처리<NA><NA><NA><NA>02 273 0074<NA><NA>서울특별시 중구 입정동 ***-* 금도빌딩***-호<NA><NA>성우출판사2008-02-21 00:00:00I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
53010000199630101002320000619960828<NA>3폐업3폐업처리20040830<NA><NA><NA>02 774 0680<NA><NA>서울특별시 중구 서소문동 **-*<NA><NA>장데스떼화장품2008-02-21 00:00:00I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
63010000199630101002320000719960828<NA>3폐업3폐업처리20030225<NA><NA><NA>02 774 0680<NA><NA>서울특별시 중구 서소문동 **-*<NA><NA>장데스떼2008-02-21 00:00:00I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
73010000199630101002320000819960831<NA>3폐업3폐업처리20020304<NA><NA><NA>02 2236 4542<NA><NA>서울특별시 중구 흥인동 ***-*<NA><NA>국민에디코2008-02-21 00:00:00I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
83010000199630101002320000919960831<NA>4취소/말소/만료/정지/중지7직권말소<NA><NA><NA><NA>02 2274 8325<NA><NA>서울특별시 중구 필동*가 **-* 동화빌딩 ***<NA><NA>교육문화원2016-11-30 11:29:50I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
93010000199630101002320001019960904<NA>3폐업3폐업처리20000731<NA><NA><NA>02<NA><NA>서울특별시 중구 을지로*가 ***-** 정암***호<NA><NA>대한문화사2008-02-21 00:00:00I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)자산규모부채총액자본금판매방식명
1036301000020233010205232000072023-05-19<NA>1영업/정상1정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 신당동 ***-* 선일빌딩 ***호서울특별시 중구 동호로 ***, 선일빌딩 ***호 (신당동)4598아모레카운셀러2023-05-19 16:26:00I2022-12-04 22:01:00.0<NA>200820.038485450309.162582<NA><NA><NA><NA>
1037301000020233010205232000082023-05-24<NA>1영업/정상1정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 을지로*가 ***-* 프레지던트호텔 *층서울특별시 중구 을지로 **, 프레지던트호텔 *층 (을지로*가)4533리엔케이 을지로2023-05-24 16:12:06I2022-12-04 22:06:00.0<NA>198113.370664451483.299977<NA><NA><NA><NA>
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1044301000020243010205232000032024-04-01<NA>1영업/정상1정상영업<NA><NA><NA><NA>02-3441-2950<NA><NA>서울특별시 중구 남창동 **-* 에티버스타워서울특별시 중구 소월로 *, 에티버스타워 **층 (남창동)4528주식회사 에티버스이비티2024-04-02 09:48:28I2023-12-04 00:04:00.0<NA>197831.002724450794.314832<NA><NA><NA><NA>
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