Overview

Dataset statistics

Number of variables29
Number of observations524
Missing cells5558
Missing cells (%)36.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory127.0 KiB
Average record size in memory248.3 B

Variable types

Categorical7
Numeric9
DateTime6
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
Author성북구
URLhttps://data.seoul.go.kr/dataList/OA-18759/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 is highly imbalanced (97.5%)Imbalance
재개업일자 is highly imbalanced (97.5%)Imbalance
폐업일자 has 189 (36.1%) missing valuesMissing
휴업시작일자 has 520 (99.2%) missing valuesMissing
휴업종료일자 has 520 (99.2%) missing valuesMissing
전화번호 has 62 (11.8%) missing valuesMissing
소재지면적 has 524 (100.0%) missing valuesMissing
소재지우편번호 has 368 (70.2%) missing valuesMissing
지번주소 has 106 (20.2%) missing valuesMissing
도로명주소 has 297 (56.7%) missing valuesMissing
도로명우편번호 has 297 (56.7%) missing valuesMissing
업태구분명 has 524 (100.0%) missing valuesMissing
좌표정보(X) has 158 (30.2%) missing valuesMissing
좌표정보(Y) has 158 (30.2%) missing valuesMissing
자산규모 has 437 (83.4%) missing valuesMissing
부채총액 has 437 (83.4%) missing valuesMissing
자본금 has 437 (83.4%) missing valuesMissing
판매방식명 has 524 (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 36 (6.9%) zerosZeros
부채총액 has 50 (9.5%) zerosZeros
자본금 has 31 (5.9%) zerosZeros

Reproduction

Analysis started2024-05-11 05:32:38.014784
Analysis finished2024-05-11 05:32:39.083540
Duration1.07 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
3070000
524 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3070000
2nd row3070000
3rd row3070000
4th row3070000
5th row3070000

Common Values

ValueCountFrequency (%)
3070000 524
100.0%

Length

2024-05-11T14:32:39.191718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:32:39.363406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3070000 524
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct524
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0105589 × 1018
Minimum1.996307 × 1018
Maximum2.023307 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2024-05-11T14:32:39.532792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.996307 × 1018
5-th percentile2.000307 × 1018
Q12.006307 × 1018
median2.009307 × 1018
Q32.015307 × 1018
95-th percentile2.021307 × 1018
Maximum2.023307 × 1018
Range2.7000016 × 1016
Interquartile range (IQR)9.0000082 × 1015

Descriptive statistics

Standard deviation6.4714079 × 1015
Coefficient of variation (CV)0.0032187109
Kurtosis-0.76328809
Mean2.0105589 × 1018
Median Absolute Deviation (MAD)5 × 1015
Skewness0.063266668
Sum2.0684651 × 1018
Variance4.187912 × 1031
MonotonicityStrictly increasing
2024-05-11T14:32:39.777865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1996307013423200008 1
 
0.2%
2014307021623200004 1
 
0.2%
2014307021623200002 1
 
0.2%
2014307021623200001 1
 
0.2%
2013307021623200037 1
 
0.2%
2013307021623200036 1
 
0.2%
2013307021623200035 1
 
0.2%
2013307021623200034 1
 
0.2%
2013307021623200033 1
 
0.2%
2013307021623200032 1
 
0.2%
Other values (514) 514
98.1%
ValueCountFrequency (%)
1996307013423200008 1
0.2%
1996307013423200009 1
0.2%
1996307013423200011 1
0.2%
1996307013423200012 1
0.2%
1996307013423200022 1
0.2%
1996307013423200024 1
0.2%
1996307013423200029 1
0.2%
1996307013423200030 1
0.2%
1997307013423200005 1
0.2%
1998307013423200001 1
0.2%
ValueCountFrequency (%)
2023307029923200010 1
0.2%
2023307029923200009 1
0.2%
2023307029923200008 1
0.2%
2023307029923200007 1
0.2%
2023307029923200006 1
0.2%
2023307029923200005 1
0.2%
2023307029923200004 1
0.2%
2023307029923200003 1
0.2%
2023307029923200002 1
0.2%
2023307029923200001 1
0.2%

인허가일자
Date

Distinct486
Distinct (%)92.7%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
Minimum1996-11-01 00:00:00
Maximum2023-11-17 00:00:00
2024-05-11T14:32:40.013170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:32:40.217459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
<NA>
522 
20090626
 
1
20180615
 
1

Length

Max length8
Median length4
Mean length4.0152672
Min length4

Unique

Unique2 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 522
99.6%
20090626 1
 
0.2%
20180615 1
 
0.2%

Length

2024-05-11T14:32:40.501110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:32:40.672058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 522
99.6%
20090626 1
 
0.2%
20180615 1
 
0.2%

영업상태코드
Categorical

Distinct5
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
3
331 
4
119 
1
68 
5
 
4
2
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row3
3rd row3
4th row3
5th row1

Common Values

ValueCountFrequency (%)
3 331
63.2%
4 119
 
22.7%
1 68
 
13.0%
5 4
 
0.8%
2 2
 
0.4%

Length

2024-05-11T14:32:40.862473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:32:41.027199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 331
63.2%
4 119
 
22.7%
1 68
 
13.0%
5 4
 
0.8%
2 2
 
0.4%

영업상태명
Categorical

Distinct5
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
폐업
331 
취소/말소/만료/정지/중지
119 
영업/정상
68 
제외/삭제/전출
 
4
휴업
 
2

Length

Max length14
Median length2
Mean length5.1603053
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row폐업
2nd row폐업
3rd row폐업
4th row폐업
5th row영업/정상

Common Values

ValueCountFrequency (%)
폐업 331
63.2%
취소/말소/만료/정지/중지 119
 
22.7%
영업/정상 68
 
13.0%
제외/삭제/전출 4
 
0.8%
휴업 2
 
0.4%

Length

2024-05-11T14:32:41.202147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:32:41.386295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 331
63.2%
취소/말소/만료/정지/중지 119
 
22.7%
영업/정상 68
 
13.0%
제외/삭제/전출 4
 
0.8%
휴업 2
 
0.4%

상세영업상태코드
Real number (ℝ)

Distinct6
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.648855
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2024-05-11T14:32:41.555048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q33
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.9276539
Coefficient of variation (CV)0.52829008
Kurtosis-0.46927919
Mean3.648855
Median Absolute Deviation (MAD)0
Skewness0.81726083
Sum1912
Variance3.7158495
MonotonicityNot monotonic
2024-05-11T14:32:41.735724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3 331
63.2%
7 117
 
22.3%
1 68
 
13.0%
5 4
 
0.8%
4 2
 
0.4%
2 2
 
0.4%
ValueCountFrequency (%)
1 68
 
13.0%
2 2
 
0.4%
3 331
63.2%
4 2
 
0.4%
5 4
 
0.8%
7 117
 
22.3%
ValueCountFrequency (%)
7 117
 
22.3%
5 4
 
0.8%
4 2
 
0.4%
3 331
63.2%
2 2
 
0.4%
1 68
 
13.0%

상세영업상태명
Categorical

Distinct6
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
폐업처리
331 
직권말소
117 
정상영업
68 
타시군구이관
 
4
직권취소
 
2

Length

Max length6
Median length4
Mean length4.0152672
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업처리 331
63.2%
직권말소 117
 
22.3%
정상영업 68
 
13.0%
타시군구이관 4
 
0.8%
직권취소 2
 
0.4%
휴업처리 2
 
0.4%

Length

2024-05-11T14:32:41.959543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:32:42.173259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업처리 331
63.2%
직권말소 117
 
22.3%
정상영업 68
 
13.0%
타시군구이관 4
 
0.8%
직권취소 2
 
0.4%
휴업처리 2
 
0.4%

폐업일자
Date

MISSING 

Distinct254
Distinct (%)75.8%
Missing189
Missing (%)36.1%
Memory size4.2 KiB
Minimum2007-07-02 00:00:00
Maximum2024-05-02 00:00:00
2024-05-11T14:32:42.387304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:32:42.629474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Date

MISSING 

Distinct4
Distinct (%)100.0%
Missing520
Missing (%)99.2%
Memory size4.2 KiB
Minimum2010-08-20 00:00:00
Maximum2023-12-29 00:00:00
2024-05-11T14:32:42.870202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:32:43.028812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)

휴업종료일자
Date

MISSING 

Distinct4
Distinct (%)100.0%
Missing520
Missing (%)99.2%
Memory size4.2 KiB
Minimum2011-08-19 00:00:00
Maximum2024-12-29 00:00:00
2024-05-11T14:32:43.180781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:32:43.353618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)

재개업일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
<NA>
522 
20090521
 
1
20060309
 
1

Length

Max length8
Median length4
Mean length4.0152672
Min length4

Unique

Unique2 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 522
99.6%
20090521 1
 
0.2%
20060309 1
 
0.2%

Length

2024-05-11T14:32:43.554204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:32:43.758846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 522
99.6%
20090521 1
 
0.2%
20060309 1
 
0.2%

전화번호
Text

MISSING 

Distinct362
Distinct (%)78.4%
Missing62
Missing (%)11.8%
Memory size4.2 KiB
2024-05-11T14:32:44.092817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length14
Mean length8.8268398
Min length2

Characters and Unicode

Total characters4078
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

Unique346 ?
Unique (%)74.9%

Sample

1st row029216318
2nd row029168888
3rd row029422924
4th row029422340
5th row029430276
ValueCountFrequency (%)
02 87
 
18.8%
02-911-6699 3
 
0.6%
02-945-5044 2
 
0.4%
02-929-1990 2
 
0.4%
02-915-6611 2
 
0.4%
029421229 2
 
0.4%
02-922-3835 2
 
0.4%
02-942-3604 2
 
0.4%
02-909-1177 2
 
0.4%
02-6266-2914 2
 
0.4%
Other values (351) 356
77.1%
2024-05-11T14:32:44.689707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 759
18.6%
0 678
16.6%
- 514
12.6%
9 497
12.2%
1 296
 
7.3%
4 238
 
5.8%
7 233
 
5.7%
3 230
 
5.6%
6 223
 
5.5%
5 214
 
5.2%
Other values (5) 196
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3560
87.3%
Dash Punctuation 514
 
12.6%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%
Other Punctuation 1
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 759
21.3%
0 678
19.0%
9 497
14.0%
1 296
 
8.3%
4 238
 
6.7%
7 233
 
6.5%
3 230
 
6.5%
6 223
 
6.3%
5 214
 
6.0%
8 192
 
5.4%
Dash Punctuation
ValueCountFrequency (%)
- 514
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4078
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 759
18.6%
0 678
16.6%
- 514
12.6%
9 497
12.2%
1 296
 
7.3%
4 238
 
5.8%
7 233
 
5.7%
3 230
 
5.6%
6 223
 
5.5%
5 214
 
5.2%
Other values (5) 196
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4078
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 759
18.6%
0 678
16.6%
- 514
12.6%
9 497
12.2%
1 296
 
7.3%
4 238
 
5.8%
7 233
 
5.7%
3 230
 
5.6%
6 223
 
5.5%
5 214
 
5.2%
Other values (5) 196
 
4.8%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing524
Missing (%)100.0%
Memory size4.7 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct67
Distinct (%)42.9%
Missing368
Missing (%)70.2%
Infinite0
Infinite (%)0.0%
Mean138352.07
Minimum110550
Maximum459110
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2024-05-11T14:32:44.936320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum110550
5-th percentile136033
Q1136054.5
median136110.5
Q3136800
95-th percentile136865.25
Maximum459110
Range348560
Interquartile range (IQR)745.5

Descriptive statistics

Standard deviation26057.052
Coefficient of variation (CV)0.18833872
Kurtosis150.94296
Mean138352.07
Median Absolute Deviation (MAD)62.5
Skewness12.183976
Sum21582923
Variance6.7896995 × 108
MonotonicityNot monotonic
2024-05-11T14:32:45.205457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
136110 9
 
1.7%
136150 7
 
1.3%
136100 7
 
1.3%
136034 7
 
1.3%
136140 5
 
1.0%
136131 5
 
1.0%
136101 4
 
0.8%
136020 4
 
0.8%
136141 4
 
0.8%
136033 4
 
0.8%
Other values (57) 100
 
19.1%
(Missing) 368
70.2%
ValueCountFrequency (%)
110550 1
 
0.2%
120130 1
 
0.2%
136020 4
0.8%
136023 1
 
0.2%
136033 4
0.8%
136034 7
1.3%
136036 4
0.8%
136037 1
 
0.2%
136044 3
0.6%
136045 4
0.8%
ValueCountFrequency (%)
459110 1
0.2%
158090 1
0.2%
152854 1
0.2%
136893 1
0.2%
136877 2
0.4%
136872 1
0.2%
136869 1
0.2%
136864 1
0.2%
136862 1
0.2%
136861 2
0.4%

지번주소
Text

MISSING 

Distinct338
Distinct (%)80.9%
Missing106
Missing (%)20.2%
Memory size4.2 KiB
2024-05-11T14:32:45.490690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length41
Mean length25.983254
Min length13

Characters and Unicode

Total characters10861
Distinct characters220
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

Unique284 ?
Unique (%)67.9%

Sample

1st row서울특별시 성북구 동선동*가***
2nd row서울특별시 성북구 장위동**-***
3rd row서울특별시 성북구 정릉동**-***
4th row서울특별시 성북구 장위동***-***
5th row서울특별시 성북구 장위동**-**
ValueCountFrequency (%)
서울특별시 417
20.1%
성북구 413
19.9%
번지 210
 
10.1%
호 192
 
9.3%
층 81
 
3.9%
64
 
3.1%
정릉동 53
 
2.6%
장위동 42
 
2.0%
석관동 41
 
2.0%
길음동 35
 
1.7%
Other values (213) 526
25.4%
2024-05-11T14:32:46.165304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 2341
21.6%
1667
15.3%
동 513
 
4.7%
성 444
 
4.1%
북 434
 
4.0%
구 422
 
3.9%
서 420
 
3.9%
시 419
 
3.9%
울 417
 
3.8%
별 417
 
3.8%
Other values (210) 3367
31.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6610
60.9%
Other Punctuation 2355
 
21.7%
Space Separator 1667
 
15.3%
Dash Punctuation 198
 
1.8%
Uppercase Letter 10
 
0.1%
Decimal Number 5
 
< 0.1%
Math Symbol 4
 
< 0.1%
Open Punctuation 4
 
< 0.1%
Close Punctuation 4
 
< 0.1%
Lowercase Letter 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 513
 
7.8%
성 444
 
6.7%
북 434
 
6.6%
구 422
 
6.4%
서 420
 
6.4%
시 419
 
6.3%
울 417
 
6.3%
별 417
 
6.3%
특 417
 
6.3%
지 242
 
3.7%
Other values (191) 2465
37.3%
Uppercase Letter
ValueCountFrequency (%)
B 7
70.0%
S 1
 
10.0%
K 1
 
10.0%
A 1
 
10.0%
Decimal Number
ValueCountFrequency (%)
4 2
40.0%
2 1
20.0%
6 1
20.0%
1 1
20.0%
Other Punctuation
ValueCountFrequency (%)
* 2341
99.4%
, 9
 
0.4%
@ 5
 
0.2%
Lowercase Letter
ValueCountFrequency (%)
b 2
50.0%
x 1
25.0%
s 1
25.0%
Space Separator
ValueCountFrequency (%)
1667
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 198
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6610
60.9%
Common 4237
39.0%
Latin 14
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 513
 
7.8%
성 444
 
6.7%
북 434
 
6.6%
구 422
 
6.4%
서 420
 
6.4%
시 419
 
6.3%
울 417
 
6.3%
별 417
 
6.3%
특 417
 
6.3%
지 242
 
3.7%
Other values (191) 2465
37.3%
Common
ValueCountFrequency (%)
* 2341
55.3%
1667
39.3%
- 198
 
4.7%
, 9
 
0.2%
@ 5
 
0.1%
~ 4
 
0.1%
( 4
 
0.1%
) 4
 
0.1%
4 2
 
< 0.1%
2 1
 
< 0.1%
Other values (2) 2
 
< 0.1%
Latin
ValueCountFrequency (%)
B 7
50.0%
b 2
 
14.3%
S 1
 
7.1%
K 1
 
7.1%
x 1
 
7.1%
A 1
 
7.1%
s 1
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6610
60.9%
ASCII 4251
39.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 2341
55.1%
1667
39.2%
- 198
 
4.7%
, 9
 
0.2%
B 7
 
0.2%
@ 5
 
0.1%
~ 4
 
0.1%
( 4
 
0.1%
) 4
 
0.1%
b 2
 
< 0.1%
Other values (9) 10
 
0.2%
Hangul
ValueCountFrequency (%)
동 513
 
7.8%
성 444
 
6.7%
북 434
 
6.6%
구 422
 
6.4%
서 420
 
6.4%
시 419
 
6.3%
울 417
 
6.3%
별 417
 
6.3%
특 417
 
6.3%
지 242
 
3.7%
Other values (191) 2465
37.3%

도로명주소
Text

MISSING 

Distinct203
Distinct (%)89.4%
Missing297
Missing (%)56.7%
Memory size4.2 KiB
2024-05-11T14:32:46.538766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length43
Mean length34.057269
Min length22

Characters and Unicode

Total characters7731
Distinct characters202
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

Unique183 ?
Unique (%)80.6%

Sample

1st row서울특별시 성북구 보문로 *** (보문동*가)
2nd row서울특별시 성북구 동소문로 *** (돈암동)
3rd row서울특별시 성북구 동소문로 ***, B*호 (동선동*가, 플라망스타워)
4th row서울특별시 성북구 종암로 ** (종암동)
5th row서울특별시 성북구 동소문로*길 *-** (동소문동*가)
ValueCountFrequency (%)
서울특별시 227
15.4%
성북구 226
15.3%
225
15.3%
층 91
 
6.2%
호 71
 
4.8%
정릉동 37
 
2.5%
동 28
 
1.9%
하월곡동 28
 
1.9%
장위동 26
 
1.8%
동소문로 24
 
1.6%
Other values (189) 490
33.3%
2024-05-11T14:32:47.494775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 1296
16.8%
1246
 
16.1%
동 338
 
4.4%
, 260
 
3.4%
북 247
 
3.2%
성 245
 
3.2%
서 231
 
3.0%
시 228
 
2.9%
구 228
 
2.9%
) 227
 
2.9%
Other values (192) 3185
41.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4413
57.1%
Other Punctuation 1556
 
20.1%
Space Separator 1246
 
16.1%
Close Punctuation 227
 
2.9%
Open Punctuation 227
 
2.9%
Dash Punctuation 45
 
0.6%
Uppercase Letter 8
 
0.1%
Decimal Number 7
 
0.1%
Math Symbol 1
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 338
 
7.7%
북 247
 
5.6%
성 245
 
5.6%
서 231
 
5.2%
시 228
 
5.2%
구 228
 
5.2%
울 227
 
5.1%
별 227
 
5.1%
특 227
 
5.1%
로 226
 
5.1%
Other values (177) 1989
45.1%
Decimal Number
ValueCountFrequency (%)
1 2
28.6%
3 1
14.3%
4 1
14.3%
2 1
14.3%
0 1
14.3%
7 1
14.3%
Other Punctuation
ValueCountFrequency (%)
* 1296
83.3%
, 260
 
16.7%
Space Separator
ValueCountFrequency (%)
1246
100.0%
Close Punctuation
ValueCountFrequency (%)
) 227
100.0%
Open Punctuation
ValueCountFrequency (%)
( 227
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 45
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 8
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Lowercase Letter
ValueCountFrequency (%)
b 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4413
57.1%
Common 3309
42.8%
Latin 9
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 338
 
7.7%
북 247
 
5.6%
성 245
 
5.6%
서 231
 
5.2%
시 228
 
5.2%
구 228
 
5.2%
울 227
 
5.1%
별 227
 
5.1%
특 227
 
5.1%
로 226
 
5.1%
Other values (177) 1989
45.1%
Common
ValueCountFrequency (%)
* 1296
39.2%
1246
37.7%
, 260
 
7.9%
) 227
 
6.9%
( 227
 
6.9%
- 45
 
1.4%
1 2
 
0.1%
3 1
 
< 0.1%
4 1
 
< 0.1%
2 1
 
< 0.1%
Other values (3) 3
 
0.1%
Latin
ValueCountFrequency (%)
B 8
88.9%
b 1
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4413
57.1%
ASCII 3318
42.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 1296
39.1%
1246
37.6%
, 260
 
7.8%
) 227
 
6.8%
( 227
 
6.8%
- 45
 
1.4%
B 8
 
0.2%
1 2
 
0.1%
3 1
 
< 0.1%
4 1
 
< 0.1%
Other values (5) 5
 
0.2%
Hangul
ValueCountFrequency (%)
동 338
 
7.7%
북 247
 
5.6%
성 245
 
5.6%
서 231
 
5.2%
시 228
 
5.2%
구 228
 
5.2%
울 227
 
5.1%
별 227
 
5.1%
특 227
 
5.1%
로 226
 
5.1%
Other values (177) 1989
45.1%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct128
Distinct (%)56.4%
Missing297
Missing (%)56.7%
Infinite0
Infinite (%)0.0%
Mean48134.982
Minimum2702
Maximum136874
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2024-05-11T14:32:47.776086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2702
5-th percentile2716.3
Q12761
median2831
Q3136087
95-th percentile136849
Maximum136874
Range134172
Interquartile range (IQR)133326

Descriptive statistics

Standard deviation63432.498
Coefficient of variation (CV)1.3178045
Kurtosis-1.5460399
Mean48134.982
Median Absolute Deviation (MAD)92
Skewness0.68381638
Sum10926641
Variance4.0236818 × 109
MonotonicityNot monotonic
2024-05-11T14:32:48.072886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2830 5
 
1.0%
2711 5
 
1.0%
2739 5
 
1.0%
2811 4
 
0.8%
136849 4
 
0.8%
136150 4
 
0.8%
2751 4
 
0.8%
2829 4
 
0.8%
136111 4
 
0.8%
2732 4
 
0.8%
Other values (118) 184
35.1%
(Missing) 297
56.7%
ValueCountFrequency (%)
2702 1
 
0.2%
2709 1
 
0.2%
2710 3
0.6%
2711 5
1.0%
2715 1
 
0.2%
2716 1
 
0.2%
2717 3
0.6%
2718 1
 
0.2%
2719 2
 
0.4%
2720 1
 
0.2%
ValueCountFrequency (%)
136874 1
 
0.2%
136873 2
0.4%
136860 1
 
0.2%
136858 2
0.4%
136852 2
0.4%
136851 1
 
0.2%
136849 4
0.8%
136845 2
0.4%
136844 1
 
0.2%
136843 1
 
0.2%

사업장명
Text

Distinct500
Distinct (%)95.4%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
2024-05-11T14:32:48.492734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length17
Mean length7.1812977
Min length2

Characters and Unicode

Total characters3763
Distinct characters447
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

Unique477 ?
Unique (%)91.0%

Sample

1st row백옥생정릉점
2nd row석계대우자동차판매(주)
3rd row대신종합상사
4th row생그린화장품장위점
5th row기아자동차 장위대리점
ValueCountFrequency (%)
주식회사 22
 
3.3%
인셀덤 8
 
1.2%
에치와이 5
 
0.8%
주 4
 
0.6%
성북지사 4
 
0.6%
쌍용자동차 4
 
0.6%
아모레카운셀러 3
 
0.5%
마임 3
 
0.5%
윤선생영어숲 3
 
0.5%
웰빙플러스 3
 
0.5%
Other values (553) 600
91.0%
2024-05-11T14:32:49.252990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
135
 
3.6%
이 112
 
3.0%
리 102
 
2.7%
스 91
 
2.4%
주 87
 
2.3%
사 81
 
2.2%
) 78
 
2.1%
( 78
 
2.1%
점 73
 
1.9%
아 67
 
1.8%
Other values (437) 2859
76.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3267
86.8%
Space Separator 135
 
3.6%
Uppercase Letter 115
 
3.1%
Close Punctuation 79
 
2.1%
Open Punctuation 79
 
2.1%
Lowercase Letter 60
 
1.6%
Other Punctuation 17
 
0.5%
Decimal Number 7
 
0.2%
Dash Punctuation 2
 
0.1%
Other Symbol 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 112
 
3.4%
리 102
 
3.1%
스 91
 
2.8%
주 87
 
2.7%
사 81
 
2.5%
점 73
 
2.2%
아 67
 
2.1%
대 63
 
1.9%
성 52
 
1.6%
지 42
 
1.3%
Other values (377) 2497
76.4%
Uppercase Letter
ValueCountFrequency (%)
S 13
 
11.3%
I 9
 
7.8%
C 9
 
7.8%
M 8
 
7.0%
E 8
 
7.0%
N 8
 
7.0%
K 7
 
6.1%
T 6
 
5.2%
O 5
 
4.3%
J 5
 
4.3%
Other values (14) 37
32.2%
Lowercase Letter
ValueCountFrequency (%)
o 8
13.3%
n 6
10.0%
s 6
10.0%
r 5
 
8.3%
u 5
 
8.3%
i 4
 
6.7%
c 3
 
5.0%
t 3
 
5.0%
e 3
 
5.0%
p 3
 
5.0%
Other values (8) 14
23.3%
Other Punctuation
ValueCountFrequency (%)
. 11
64.7%
& 2
 
11.8%
! 1
 
5.9%
? 1
 
5.9%
＆ 1
 
5.9%
/ 1
 
5.9%
Decimal Number
ValueCountFrequency (%)
7 2
28.6%
1 2
28.6%
4 1
14.3%
2 1
14.3%
3 1
14.3%
Close Punctuation
ValueCountFrequency (%)
) 78
98.7%
] 1
 
1.3%
Open Punctuation
ValueCountFrequency (%)
( 78
98.7%
[ 1
 
1.3%
Space Separator
ValueCountFrequency (%)
135
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3269
86.9%
Common 319
 
8.5%
Latin 175
 
4.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 112
 
3.4%
리 102
 
3.1%
스 91
 
2.8%
주 87
 
2.7%
사 81
 
2.5%
점 73
 
2.2%
아 67
 
2.0%
대 63
 
1.9%
성 52
 
1.6%
지 42
 
1.3%
Other values (378) 2499
76.4%
Latin
ValueCountFrequency (%)
S 13
 
7.4%
I 9
 
5.1%
C 9
 
5.1%
o 8
 
4.6%
M 8
 
4.6%
E 8
 
4.6%
N 8
 
4.6%
K 7
 
4.0%
n 6
 
3.4%
T 6
 
3.4%
Other values (32) 93
53.1%
Common
ValueCountFrequency (%)
135
42.3%
) 78
24.5%
( 78
24.5%
. 11
 
3.4%
- 2
 
0.6%
& 2
 
0.6%
7 2
 
0.6%
1 2
 
0.6%
4 1
 
0.3%
! 1
 
0.3%
Other values (7) 7
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3267
86.8%
ASCII 493
 
13.1%
None 3
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
135
27.4%
) 78
15.8%
( 78
15.8%
S 13
 
2.6%
. 11
 
2.2%
I 9
 
1.8%
C 9
 
1.8%
o 8
 
1.6%
M 8
 
1.6%
E 8
 
1.6%
Other values (48) 136
27.6%
Hangul
ValueCountFrequency (%)
이 112
 
3.4%
리 102
 
3.1%
스 91
 
2.8%
주 87
 
2.7%
사 81
 
2.5%
점 73
 
2.2%
아 67
 
2.1%
대 63
 
1.9%
성 52
 
1.6%
지 42
 
1.3%
Other values (377) 2497
76.4%
None
ValueCountFrequency (%)
㈜ 2
66.7%
＆ 1
33.3%

최종수정일자
Date

Distinct523
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
Minimum2007-07-09 16:10:47
Maximum2024-05-03 13:28:16
2024-05-11T14:32:49.550779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:32:49.878811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
I
379 
U
145 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowI
2nd rowI
3rd rowI
4th rowI
5th rowU

Common Values

ValueCountFrequency (%)
I 379
72.3%
U 145
 
27.7%

Length

2024-05-11T14:32:50.087893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:32:50.252016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 379
72.3%
u 145
 
27.7%

데이터갱신일자
Date

Distinct106
Distinct (%)20.2%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:05:00
2024-05-11T14:32:50.439225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:32:50.685606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing524
Missing (%)100.0%
Memory size4.7 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct280
Distinct (%)76.5%
Missing158
Missing (%)30.2%
Infinite0
Infinite (%)0.0%
Mean202188.23
Minimum186065.68
Maximum205818.85
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2024-05-11T14:32:50.940764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum186065.68
5-th percentile200281.41
Q1201168.04
median201825.08
Q3203196.8
95-th percentile205138.2
Maximum205818.85
Range19753.168
Interquartile range (IQR)2028.7636

Descriptive statistics

Standard deviation1910.3506
Coefficient of variation (CV)0.0094483767
Kurtosis19.297144
Mean202188.23
Median Absolute Deviation (MAD)1000.4795
Skewness-2.4299396
Sum74000893
Variance3649439.4
MonotonicityNot monotonic
2024-05-11T14:32:51.170465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
202029.981799661 8
 
1.5%
203196.800963466 6
 
1.1%
200841.726990037 5
 
1.0%
204906.231827898 5
 
1.0%
200082.088156596 5
 
1.0%
202333.749641653 4
 
0.8%
201786.257149274 4
 
0.8%
204367.347787613 3
 
0.6%
201353.035250566 3
 
0.6%
201552.15584023 3
 
0.6%
Other values (270) 320
61.1%
(Missing) 158
30.2%
ValueCountFrequency (%)
186065.684789257 1
 
0.2%
189580.814678046 1
 
0.2%
192430.511127377 1
 
0.2%
198888.209911699 1
 
0.2%
199094.914328436 1
 
0.2%
199772.78734135 1
 
0.2%
199853.06140613 1
 
0.2%
199941.561221194 1
 
0.2%
200024.490809905 1
 
0.2%
200082.088156596 5
1.0%
ValueCountFrequency (%)
205818.852385165 1
0.2%
205733.885475417 1
0.2%
205729.347626245 1
0.2%
205644.450383084 1
0.2%
205620.497395446 1
0.2%
205595.750376866 2
0.4%
205576.398755799 1
0.2%
205549.981609424 1
0.2%
205428.853891344 1
0.2%
205361.866325562 1
0.2%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct280
Distinct (%)76.5%
Missing158
Missing (%)30.2%
Infinite0
Infinite (%)0.0%
Mean455269.2
Minimum397434.39
Maximum457844.35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2024-05-11T14:32:51.465481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum397434.39
5-th percentile453611.34
Q1454557.6
median455606.22
Q3456413.32
95-th percentile456950.56
Maximum457844.35
Range60409.957
Interquartile range (IQR)1855.7167

Descriptive statistics

Standard deviation3310.5068
Coefficient of variation (CV)0.0072715369
Kurtosis257.03268
Mean455269.2
Median Absolute Deviation (MAD)917.61231
Skewness-14.855022
Sum1.6662853 × 108
Variance10959455
MonotonicityNot monotonic
2024-05-11T14:32:51.734016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
455605.716911266 8
 
1.5%
455429.846270094 6
 
1.1%
454721.505180141 5
 
1.0%
456420.949081137 5
 
1.0%
454571.634872902 5
 
1.0%
455996.548745003 4
 
0.8%
453392.673414084 4
 
0.8%
456732.945005445 3
 
0.6%
456009.482808603 3
 
0.6%
454216.390372421 3
 
0.6%
Other values (270) 320
61.1%
(Missing) 158
30.2%
ValueCountFrequency (%)
397434.39093646 1
 
0.2%
443487.143997934 1
 
0.2%
446251.76410763 1
 
0.2%
452416.591916256 1
 
0.2%
453063.117493959 1
 
0.2%
453156.226397094 1
 
0.2%
453235.119871419 1
 
0.2%
453327.0 1
 
0.2%
453330.452368826 1
 
0.2%
453392.673414084 4
0.8%
ValueCountFrequency (%)
457844.348010616 1
0.2%
457803.264646008 2
0.4%
457397.693696562 1
0.2%
457377.671933134 1
0.2%
457356.891374719 1
0.2%
457331.720828501 1
0.2%
457318.342036929 1
0.2%
457269.572837463 1
0.2%
457206.054914893 1
0.2%
457122.11900291 1
0.2%

자산규모
Real number (ℝ)

MISSING  ZEROS 

Distinct42
Distinct (%)48.3%
Missing437
Missing (%)83.4%
Infinite0
Infinite (%)0.0%
Mean2.0400427 × 109
Minimum0
Maximum6.6091983 × 1010
Zeros36
Zeros (%)6.9%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2024-05-11T14:32:52.024879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median10000000
Q32 × 108
95-th percentile1.0298908 × 1010
Maximum6.6091983 × 1010
Range6.6091983 × 1010
Interquartile range (IQR)2 × 108

Descriptive statistics

Standard deviation8.8531412 × 109
Coefficient of variation (CV)4.3396842
Kurtosis39.336578
Mean2.0400427 × 109
Median Absolute Deviation (MAD)10000000
Skewness6.0961178
Sum1.7748372 × 1011
Variance7.8378108 × 1019
MonotonicityNot monotonic
2024-05-11T14:32:52.287634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
0 36
 
6.9%
100000000 4
 
0.8%
5000000 3
 
0.6%
200000000 3
 
0.6%
10000000 3
 
0.6%
5000 2
 
0.4%
3 1
 
0.2%
143555009 1
 
0.2%
150000000 1
 
0.2%
830500000 1
 
0.2%
Other values (32) 32
 
6.1%
(Missing) 437
83.4%
ValueCountFrequency (%)
0 36
6.9%
3 1
 
0.2%
5000 2
 
0.4%
5000000 3
 
0.6%
10000000 3
 
0.6%
17140417 1
 
0.2%
19919280 1
 
0.2%
50000000 1
 
0.2%
56000000 1
 
0.2%
59769289 1
 
0.2%
ValueCountFrequency (%)
66091982806 1
0.2%
46909915399 1
0.2%
12367692644 1
0.2%
10584487949 1
0.2%
10340916962 1
0.2%
10200885543 1
0.2%
5300000000 1
0.2%
3887898111 1
0.2%
3043271466 1
0.2%
1400000000 1
0.2%

부채총액
Real number (ℝ)

MISSING  ZEROS 

Distinct37
Distinct (%)42.5%
Missing437
Missing (%)83.4%
Infinite0
Infinite (%)0.0%
Mean1.3459176 × 109
Minimum0
Maximum3.5798684 × 1010
Zeros50
Zeros (%)9.5%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2024-05-11T14:32:52.527836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31.2734849 × 108
95-th percentile6.2280204 × 109
Maximum3.5798684 × 1010
Range3.5798684 × 1010
Interquartile range (IQR)1.2734849 × 108

Descriptive statistics

Standard deviation5.2146426 × 109
Coefficient of variation (CV)3.8744146
Kurtosis32.424078
Mean1.3459176 × 109
Median Absolute Deviation (MAD)0
Skewness5.527334
Sum1.1709483 × 1011
Variance2.7192498 × 1019
MonotonicityNot monotonic
2024-05-11T14:32:52.743324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
0 50
 
9.5%
70000000 2
 
0.4%
198000000 1
 
0.2%
96402420 1
 
0.2%
4000000 1
 
0.2%
856830000 1
 
0.2%
4128947377 1
 
0.2%
153905194 1
 
0.2%
283745360 1
 
0.2%
20000000 1
 
0.2%
Other values (27) 27
 
5.2%
(Missing) 437
83.4%
ValueCountFrequency (%)
0 50
9.5%
5000 1
 
0.2%
4000000 1
 
0.2%
16000000 1
 
0.2%
20000000 1
 
0.2%
37161091 1
 
0.2%
38521328 1
 
0.2%
45000000 1
 
0.2%
70000000 2
 
0.4%
85000000 1
 
0.2%
ValueCountFrequency (%)
35798684282 1
0.2%
30170396677 1
0.2%
9065691050 1
0.2%
8499858236 1
0.2%
6600000000 1
0.2%
5360067967 1
0.2%
5333276239 1
0.2%
5200000000 1
0.2%
4128947377 1
0.2%
1584463114 1
0.2%

자본금
Real number (ℝ)

MISSING  ZEROS 

Distinct37
Distinct (%)42.5%
Missing437
Missing (%)83.4%
Infinite0
Infinite (%)0.0%
Mean7.230819 × 108
Minimum-4.7105708 × 108
Maximum3.5921586 × 1010
Zeros31
Zeros (%)5.9%
Negative3
Negative (%)0.6%
Memory size4.7 KiB
2024-05-11T14:32:52.973334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4.7105708 × 108
5-th percentile0
Q10
median10000000
Q31 × 108
95-th percentile3.0023176 × 109
Maximum3.5921586 × 1010
Range3.6392643 × 1010
Interquartile range (IQR)1 × 108

Descriptive statistics

Standard deviation3.9375204 × 109
Coefficient of variation (CV)5.4454695
Kurtosis76.555676
Mean7.230819 × 108
Median Absolute Deviation (MAD)10000000
Skewness8.5392031
Sum6.2908125 × 1010
Variance1.5504067 × 1019
MonotonicityNot monotonic
2024-05-11T14:32:53.236667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
0 31
 
5.9%
100000000 7
 
1.3%
10000000 5
 
1.0%
50000000 5
 
1.0%
20000000 3
 
0.6%
300000000 2
 
0.4%
200000000 2
 
0.4%
5000000 2
 
0.4%
5000 2
 
0.4%
1841058726 1
 
0.2%
Other values (27) 27
 
5.2%
(Missing) 437
83.4%
ValueCountFrequency (%)
-471057083 1
 
0.2%
-65578862 1
 
0.2%
-26330000 1
 
0.2%
0 31
5.9%
3 1
 
0.2%
5000 2
 
0.4%
1000000 1
 
0.2%
3667096 1
 
0.2%
5000000 2
 
0.4%
10000000 5
 
1.0%
ValueCountFrequency (%)
35921586129 1
0.2%
5000000000 1
0.2%
4867609304 1
0.2%
4300000000 1
0.2%
3500000000 1
0.2%
1841058726 1
0.2%
1458808352 1
0.2%
1035856500 1
0.2%
832097110 1
0.2%
750000000 1
0.2%

판매방식명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing524
Missing (%)100.0%
Memory size4.7 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)자산규모부채총액자본금판매방식명
03070000199630701342320000819961101<NA>3폐업3폐업처리20170920<NA><NA><NA>029216318<NA><NA>서울특별시 성북구 동선동*가***<NA><NA>백옥생정릉점2017-09-25 10:00:30I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
13070000199630701342320000919961114<NA>3폐업3폐업처리20171231<NA><NA><NA>029168888<NA><NA>서울특별시 성북구 장위동**-***<NA><NA>석계대우자동차판매(주)2018-01-18 20:18:41I2018-08-31 23:59:59.0<NA><NA><NA>2000000007000000050000000<NA>
23070000199630701342320001119961114<NA>3폐업3폐업처리20080814<NA><NA><NA>029422924<NA><NA>서울특별시 성북구 정릉동**-***<NA><NA>대신종합상사2008-08-30 09:09:34I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
33070000199630701342320001219961114<NA>3폐업3폐업처리20080131<NA><NA><NA>029422340<NA><NA>서울특별시 성북구 장위동***-***<NA><NA>생그린화장품장위점2008-02-04 10:02:49I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
43070000199630701342320002219961119<NA>1영업/정상1정상영업<NA><NA><NA><NA>029430276<NA><NA>서울특별시 성북구 장위동**-**<NA><NA>기아자동차 장위대리점2020-09-15 17:38:49U2020-09-17 02:40:00.0<NA><NA><NA><NA><NA><NA><NA>
53070000199630701342320002419961122<NA>3폐업3폐업처리20080814<NA><NA><NA>029294362<NA><NA>서울특별시 성북구 삼선동*가***-*<NA><NA>기아자동차성북구청앞2008-08-30 09:32:57I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
63070000199630701342320002919961219<NA>1영업/정상1정상영업<NA><NA><NA><NA>02-924-0707<NA>136071서울특별시 성북구 안암동*가 **번지 *호 엘리트빌딩<NA><NA>(주)성북중앙엘리트2020-07-06 21:57:14U2020-07-08 02:40:00.0<NA>201645.70871454076.89567200000000100000000100000000<NA>
73070000199630701342320003019961219<NA>3폐업3폐업처리20080814<NA><NA><NA>029439015<NA><NA>서울특별시 성북구 길음동***-** 삼부상가 ***-***<NA><NA>길음대리점2008-08-30 09:32:29I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
83070000199730701342320000519971104<NA>3폐업3폐업처리20080814<NA><NA><NA>0232950123<NA><NA>서울특별시 성북구 돈암동***-* 스카이프라자동관****<NA><NA>이찬진컴퓨터교실성북지사2008-08-30 09:31:43I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
93070000199830701342320000119980202<NA>3폐업3폐업처리20080814<NA><NA><NA>029213742<NA>136036서울특별시 성북구 동소문동*가 ***번지<NA><NA>엘리트스쿨2008-08-30 09:31:16I2018-08-31 23:59:59.0<NA>201301.659064454591.459343<NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)자산규모부채총액자본금판매방식명
5143070000202330702992320000120230111<NA>1영업/정상1정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 성북구 정릉동 ***-**서울특별시 성북구 보국문로**길 *, *층 (정릉동)2711황바비2023-01-11 11:05:30I2022-11-30 23:03:00.0<NA>200675.554914456673.353756<NA><NA><NA><NA>
515307000020233070299232000022023-02-03<NA>1영업/정상1정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 성북구 보문동*가 ***-* *층서울특별시 성북구 보문사길 **, *층 (보문동*가)2872마음엔향기2023-02-06 15:59:48I2022-12-02 00:08:00.0<NA>201496.038424453521.119111<NA><NA><NA><NA>
516307000020233070299232000032023-02-06<NA>1영업/정상1정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 성북구 동소문동*가 *** 강북미디어빌딩 지하*층서울특별시 성북구 동소문로 **-*, 강북미디어빌딩 지하*층 (동소문동*가)2830주식회사 마중라온2023-12-21 16:56:47U2022-11-01 22:03:00.0<NA>201214.587799454466.978156<NA><NA><NA><NA>
517307000020233070299232000042023-04-14<NA>1영업/정상1정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 성북구 정릉동 ***-*** 지하층서울특별시 성북구 보국문로**길 **, 지하층 (정릉동)2717탑셀 바이오뱅크 정릉고객센타2023-04-14 16:28:50I2022-12-03 23:06:00.0<NA>200765.497623456541.983878<NA><NA><NA><NA>
518307000020233070299232000052023-05-09<NA>5제외/삭제/전출5타시군구이관2024-02-28<NA><NA><NA><NA><NA><NA>서울특별시 성북구 길음동 **** 래미안길음센터피스 ***동 ****호서울특별시 성북구 숭인로 **, ***동 ****호 (길음동, 래미안길음센터피스)2727제이엠커뮤니케이션2024-02-28 09:42:57U2023-12-03 00:01:00.0<NA>202337.783039456539.190686<NA><NA><NA><NA>
519307000020233070299232000062022-12-06<NA>1영업/정상1정상영업<NA><NA><NA><NA>02-989-8590<NA><NA>서울특별시 성북구 장위동 **-*** 성북벤처창업지원센터 ***호서울특별시 성북구 화랑로 ***, 성북벤처창업지원센터 ***호 (장위동)2772주식회사 더드림 랩2023-06-13 17:52:54I2022-12-05 23:05:00.0<NA>204629.736121456341.35941<NA><NA><NA><NA>
520307000020233070299232000072023-06-19<NA>1영업/정상1정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 성북구 장위동 **-** *층서울특별시 성북구 장위로**다길 **, *층 (장위동)2770주식회사 더피엔엘2023-06-19 14:10:35I2022-12-05 22:01:00.0<NA>204658.538567456604.835523<NA><NA><NA><NA>
521307000020233070299232000082023-07-05<NA>3폐업3폐업처리2023-11-29<NA><NA><NA>02-941-7307<NA><NA>서울특별시 성북구 하월곡동 *** 숭곡문구사서울특별시 성북구 종암로**길 **, 숭곡문구사 (하월곡동)2736숭곡문구사2023-11-29 14:54:44U2022-11-02 00:01:00.0<NA>202761.098907456345.486291<NA><NA><NA><NA>
522307000020233070299232000092023-11-17<NA>1영업/정상1정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 성북구 장위동 **-* 청마빌딩 *-*호서울특별시 성북구 화랑로**길 **, 청마빌딩 *-*호 (장위동)2771주식회사 투데이컴퍼니2023-11-20 16:47:28I2022-10-31 22:02:00.0<NA>204746.212612456616.565104<NA><NA><NA><NA>
523307000020233070299232000102022-04-15<NA>1영업/정상1정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 성북구 정릉동 ***-** 야원빌딩 지층 *호서울특별시 성북구 보국문로 **, 야원빌딩 지층 *호 (정릉동)2710해피베스트샵2023-12-01 16:36:36I2022-11-02 00:03:00.0<NA>200799.626253456214.423218<NA><NA><NA><NA>