Overview

Dataset statistics

Number of variables29
Number of observations133
Missing cells1397
Missing cells (%)36.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory32.3 KiB
Average record size in memory249.0 B

Variable types

Categorical7
Numeric10
DateTime5
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-18784/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 is highly imbalanced (81.4%)Imbalance
폐업일자 has 20 (15.0%) missing valuesMissing
휴업시작일자 has 131 (98.5%) missing valuesMissing
휴업종료일자 has 131 (98.5%) missing valuesMissing
재개업일자 has 126 (94.7%) missing valuesMissing
전화번호 has 23 (17.3%) missing valuesMissing
소재지면적 has 133 (100.0%) missing valuesMissing
소재지우편번호 has 104 (78.2%) missing valuesMissing
지번주소 has 34 (25.6%) missing valuesMissing
도로명주소 has 58 (43.6%) missing valuesMissing
도로명우편번호 has 58 (43.6%) missing valuesMissing
업태구분명 has 133 (100.0%) missing valuesMissing
좌표정보(X) has 32 (24.1%) missing valuesMissing
좌표정보(Y) has 32 (24.1%) missing valuesMissing
자산규모 has 83 (62.4%) missing valuesMissing
부채총액 has 83 (62.4%) missing valuesMissing
자본금 has 83 (62.4%) missing valuesMissing
판매방식명 has 133 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
최종수정일자 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 13 (9.8%) zerosZeros
부채총액 has 22 (16.5%) zerosZeros
자본금 has 7 (5.3%) zerosZeros

Reproduction

Analysis started2024-04-06 12:47:09.547718
Analysis finished2024-04-06 12:47:10.627700
Duration1.08 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
3070000
133 

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 133
100.0%

Length

2024-04-06T21:47:10.774951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:47:11.071981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3070000 133
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct133
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0129236 × 1018
Minimum2.002307 × 1018
Maximum2.023307 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-06T21:47:11.332282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.002307 × 1018
5-th percentile2.004307 × 1018
Q12.007307 × 1018
median2.014307 × 1018
Q32.018307 × 1018
95-th percentile2.021307 × 1018
Maximum2.023307 × 1018
Range2.1000017 × 1016
Interquartile range (IQR)1.1000008 × 1016

Descriptive statistics

Standard deviation6.0273693 × 1015
Coefficient of variation (CV)0.0029943359
Kurtosis-1.3537733
Mean2.0129236 × 1018
Median Absolute Deviation (MAD)6.000007 × 1015
Skewness-0.057708932
Sum-8.9823275 × 1018
Variance3.6329181 × 1031
MonotonicityStrictly increasing
2024-04-06T21:47:11.852024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2002307013424200001 1
 
0.8%
2016307021624200004 1
 
0.8%
2017307021624200010 1
 
0.8%
2017307021624200009 1
 
0.8%
2017307021624200008 1
 
0.8%
2017307021624200007 1
 
0.8%
2017307021624200006 1
 
0.8%
2017307021624200005 1
 
0.8%
2017307021624200004 1
 
0.8%
2017307021624200002 1
 
0.8%
Other values (123) 123
92.5%
ValueCountFrequency (%)
2002307013424200001 1
0.8%
2003307013424200001 1
0.8%
2003307013424200002 1
0.8%
2003307013424200003 1
0.8%
2004307013424200001 1
0.8%
2004307013424200002 1
0.8%
2004307013424200003 1
0.8%
2004307013424200004 1
0.8%
2004307013424200005 1
0.8%
2004307013424200006 1
0.8%
ValueCountFrequency (%)
2023307029924200005 1
0.8%
2023307029924200004 1
0.8%
2023307029924200003 1
0.8%
2023307029924200002 1
0.8%
2023307029924200001 1
0.8%
2022307028624200001 1
0.8%
2021307028624200005 1
0.8%
2021307028624200004 1
0.8%
2021307028624200003 1
0.8%
2021307028624200002 1
0.8%

인허가일자
Date

Distinct126
Distinct (%)94.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
Minimum2002-08-14 00:00:00
Maximum2023-11-17 00:00:00
2024-04-06T21:47:12.360024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:47:12.720897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
127 
20080814
 
5
20110502
 
1

Length

Max length8
Median length4
Mean length4.1804511
Min length4

Unique

Unique1 ?
Unique (%)0.8%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row20080814
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 127
95.5%
20080814 5
 
3.8%
20110502 1
 
0.8%

Length

2024-04-06T21:47:13.074805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:47:13.394743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 127
95.5%
20080814 5
 
3.8%
20110502 1
 
0.8%

영업상태코드
Categorical

Distinct5
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
3
84 
4
27 
1
18 
5
 
2
2
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 84
63.2%
4 27
 
20.3%
1 18
 
13.5%
5 2
 
1.5%
2 2
 
1.5%

Length

2024-04-06T21:47:13.845165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:47:14.125028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 84
63.2%
4 27
 
20.3%
1 18
 
13.5%
5 2
 
1.5%
2 2
 
1.5%

영업상태명
Categorical

Distinct5
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
폐업
84 
취소/말소/만료/정지/중지
27 
영업/정상
18 
제외/삭제/전출
 
2
휴업
 
2

Length

Max length14
Median length2
Mean length4.9323308
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 84
63.2%
취소/말소/만료/정지/중지 27
 
20.3%
영업/정상 18
 
13.5%
제외/삭제/전출 2
 
1.5%
휴업 2
 
1.5%

Length

2024-04-06T21:47:14.438762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:47:14.702606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 84
63.2%
취소/말소/만료/정지/중지 27
 
20.3%
영업/정상 18
 
13.5%
제외/삭제/전출 2
 
1.5%
휴업 2
 
1.5%

상세영업상태코드
Real number (ℝ)

Distinct6
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.4210526
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-06T21:47:14.940661image/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 deviation1.7416925
Coefficient of variation (CV)0.50911012
Kurtosis0.45239397
Mean3.4210526
Median Absolute Deviation (MAD)0
Skewness1.0252634
Sum455
Variance3.0334928
MonotonicityNot monotonic
2024-04-06T21:47:15.141664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3 84
63.2%
7 21
 
15.8%
1 18
 
13.5%
4 6
 
4.5%
5 2
 
1.5%
2 2
 
1.5%
ValueCountFrequency (%)
1 18
 
13.5%
2 2
 
1.5%
3 84
63.2%
4 6
 
4.5%
5 2
 
1.5%
7 21
 
15.8%
ValueCountFrequency (%)
7 21
 
15.8%
5 2
 
1.5%
4 6
 
4.5%
3 84
63.2%
2 2
 
1.5%
1 18
 
13.5%

상세영업상태명
Categorical

Distinct6
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
폐업처리
84 
직권말소
21 
정상영업
18 
직권취소
 
6
타시군구이관
 
2

Length

Max length6
Median length4
Mean length4.0300752
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업처리 84
63.2%
직권말소 21
 
15.8%
정상영업 18
 
13.5%
직권취소 6
 
4.5%
타시군구이관 2
 
1.5%
휴업처리 2
 
1.5%

Length

2024-04-06T21:47:15.423957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:47:15.665092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업처리 84
63.2%
직권말소 21
 
15.8%
정상영업 18
 
13.5%
직권취소 6
 
4.5%
타시군구이관 2
 
1.5%
휴업처리 2
 
1.5%

폐업일자
Date

MISSING 

Distinct90
Distinct (%)79.6%
Missing20
Missing (%)15.0%
Memory size1.2 KiB
Minimum2003-05-06 00:00:00
Maximum2024-02-28 00:00:00
2024-04-06T21:47:15.882195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:47:16.186797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Date

MISSING 

Distinct2
Distinct (%)100.0%
Missing131
Missing (%)98.5%
Memory size1.2 KiB
Minimum2019-01-29 00:00:00
Maximum2022-12-30 00:00:00
2024-04-06T21:47:16.428376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:47:16.670147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)

휴업종료일자
Date

MISSING 

Distinct2
Distinct (%)100.0%
Missing131
Missing (%)98.5%
Memory size1.2 KiB
Minimum2021-12-31 00:00:00
Maximum2023-12-29 00:00:00
2024-04-06T21:47:16.834136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:47:17.028951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)

재개업일자
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)100.0%
Missing126
Missing (%)94.7%
Infinite0
Infinite (%)0.0%
Mean20072235
Minimum20030327
Maximum20170613
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-06T21:47:17.196566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20030327
5-th percentile20030591
Q120045918
median20060918
Q320075974
95-th percentile20146648
Maximum20170613
Range140286
Interquartile range (IQR)30056.5

Descriptive statistics

Standard deviation48034.606
Coefficient of variation (CV)0.0023930871
Kurtosis3.3441229
Mean20072235
Median Absolute Deviation (MAD)29710
Skewness1.7083544
Sum1.4050564 × 108
Variance2.3073234 × 109
MonotonicityStrictly increasing
2024-04-06T21:47:17.403067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
20030327 1
 
0.8%
20031208 1
 
0.8%
20060628 1
 
0.8%
20060918 1
 
0.8%
20061219 1
 
0.8%
20090730 1
 
0.8%
20170613 1
 
0.8%
(Missing) 126
94.7%
ValueCountFrequency (%)
20030327 1
0.8%
20031208 1
0.8%
20060628 1
0.8%
20060918 1
0.8%
20061219 1
0.8%
20090730 1
0.8%
20170613 1
0.8%
ValueCountFrequency (%)
20170613 1
0.8%
20090730 1
0.8%
20061219 1
0.8%
20060918 1
0.8%
20060628 1
0.8%
20031208 1
0.8%
20030327 1
0.8%

전화번호
Text

MISSING 

Distinct91
Distinct (%)82.7%
Missing23
Missing (%)17.3%
Memory size1.2 KiB
2024-04-06T21:47:17.806499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length9.5181818
Min length2

Characters and Unicode

Total characters1047
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique89 ?
Unique (%)80.9%

Sample

1st row02-757-5450
2nd row02-3292-1328
3rd row02-960-6142
4th row02-924-1622
5th row02-1566-3008
ValueCountFrequency (%)
02 21
 
19.1%
02-913-1467 1
 
0.9%
02-942-0604 1
 
0.9%
02-909-4342 1
 
0.9%
02-3298-1212 1
 
0.9%
02-921-8355 1
 
0.9%
02-941-3160 1
 
0.9%
02-924-2611 1
 
0.9%
02-3272-5571 1
 
0.9%
02-484-7016 1
 
0.9%
Other values (80) 80
72.7%
2024-04-06T21:47:18.555341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 188
18.0%
- 184
17.6%
0 175
16.7%
9 94
9.0%
1 78
7.4%
6 67
 
6.4%
4 62
 
5.9%
5 58
 
5.5%
8 52
 
5.0%
7 46
 
4.4%
Other values (2) 43
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 862
82.3%
Dash Punctuation 184
 
17.6%
Close Punctuation 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 188
21.8%
0 175
20.3%
9 94
10.9%
1 78
9.0%
6 67
 
7.8%
4 62
 
7.2%
5 58
 
6.7%
8 52
 
6.0%
7 46
 
5.3%
3 42
 
4.9%
Dash Punctuation
ValueCountFrequency (%)
- 184
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1047
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 188
18.0%
- 184
17.6%
0 175
16.7%
9 94
9.0%
1 78
7.4%
6 67
 
6.4%
4 62
 
5.9%
5 58
 
5.5%
8 52
 
5.0%
7 46
 
4.4%
Other values (2) 43
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1047
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 188
18.0%
- 184
17.6%
0 175
16.7%
9 94
9.0%
1 78
7.4%
6 67
 
6.4%
4 62
 
5.9%
5 58
 
5.5%
8 52
 
5.0%
7 46
 
4.4%
Other values (2) 43
 
4.1%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing133
Missing (%)100.0%
Memory size1.3 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)62.1%
Missing104
Missing (%)78.2%
Infinite0
Infinite (%)0.0%
Mean135255.93
Minimum110550
Maximum136872
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-06T21:47:18.812137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum110550
5-th percentile136036
Q1136051
median136082
Q3136130
95-th percentile136576.6
Maximum136872
Range26322
Interquartile range (IQR)79

Descriptive statistics

Standard deviation4756.0545
Coefficient of variation (CV)0.035163371
Kurtosis28.88042
Mean135255.93
Median Absolute Deviation (MAD)31
Skewness-5.3687492
Sum3922422
Variance22620054
MonotonicityNot monotonic
2024-04-06T21:47:19.068977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
136052 5
 
3.8%
136051 4
 
3.0%
136130 3
 
2.3%
136140 2
 
1.5%
136036 2
 
1.5%
136150 1
 
0.8%
136101 1
 
0.8%
136861 1
 
0.8%
136132 1
 
0.8%
136110 1
 
0.8%
Other values (8) 8
 
6.0%
(Missing) 104
78.2%
ValueCountFrequency (%)
110550 1
 
0.8%
136036 2
 
1.5%
136044 1
 
0.8%
136051 4
3.0%
136052 5
3.8%
136053 1
 
0.8%
136082 1
 
0.8%
136084 1
 
0.8%
136087 1
 
0.8%
136090 1
 
0.8%
ValueCountFrequency (%)
136872 1
 
0.8%
136861 1
 
0.8%
136150 1
 
0.8%
136140 2
1.5%
136132 1
 
0.8%
136130 3
2.3%
136110 1
 
0.8%
136101 1
 
0.8%
136090 1
 
0.8%
136087 1
 
0.8%

지번주소
Text

MISSING 

Distinct88
Distinct (%)88.9%
Missing34
Missing (%)25.6%
Memory size1.2 KiB
2024-04-06T21:47:19.497863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length34
Mean length27.161616
Min length18

Characters and Unicode

Total characters2689
Distinct characters140
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique77 ?
Unique (%)77.8%

Sample

1st row서울특별시 성북구 동선동*가 ***
2nd row서울특별시 성북구 하월곡동 **-* 트리즘빌딩 ***호
3rd row서울특별시 성북구 석관동 ***-**,**호
4th row서울특별시 성북구 삼선동*가 ***
5th row서울특별시 성북구 하월곡동 **-* 트리즘빌딩 ***호
ValueCountFrequency (%)
서울특별시 99
18.0%
성북구 98
17.9%
호 52
9.5%
52
9.5%
번지 49
8.9%
층 25
 
4.6%
동선동*가 23
 
4.2%
석관동 12
 
2.2%
하월곡동 12
 
2.2%
삼선동*가 9
 
1.6%
Other values (72) 118
21.5%
2024-04-06T21:47:20.284252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 528
19.6%
451
16.8%
동 134
 
5.0%
성 104
 
3.9%
북 103
 
3.8%
구 100
 
3.7%
서 100
 
3.7%
시 100
 
3.7%
울 99
 
3.7%
별 99
 
3.7%
Other values (130) 871
32.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1662
61.8%
Other Punctuation 529
 
19.7%
Space Separator 451
 
16.8%
Dash Punctuation 37
 
1.4%
Lowercase Letter 3
 
0.1%
Uppercase Letter 3
 
0.1%
Close Punctuation 2
 
0.1%
Open Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 134
 
8.1%
성 104
 
6.3%
북 103
 
6.2%
구 100
 
6.0%
서 100
 
6.0%
시 100
 
6.0%
울 99
 
6.0%
별 99
 
6.0%
특 99
 
6.0%
지 55
 
3.3%
Other values (118) 669
40.3%
Lowercase Letter
ValueCountFrequency (%)
b 1
33.3%
k 1
33.3%
s 1
33.3%
Uppercase Letter
ValueCountFrequency (%)
T 1
33.3%
K 1
33.3%
B 1
33.3%
Other Punctuation
ValueCountFrequency (%)
* 528
99.8%
, 1
 
0.2%
Space Separator
ValueCountFrequency (%)
451
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 37
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1662
61.8%
Common 1021
38.0%
Latin 6
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 134
 
8.1%
성 104
 
6.3%
북 103
 
6.2%
구 100
 
6.0%
서 100
 
6.0%
시 100
 
6.0%
울 99
 
6.0%
별 99
 
6.0%
특 99
 
6.0%
지 55
 
3.3%
Other values (118) 669
40.3%
Common
ValueCountFrequency (%)
* 528
51.7%
451
44.2%
- 37
 
3.6%
) 2
 
0.2%
( 2
 
0.2%
, 1
 
0.1%
Latin
ValueCountFrequency (%)
b 1
16.7%
T 1
16.7%
k 1
16.7%
K 1
16.7%
B 1
16.7%
s 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1662
61.8%
ASCII 1027
38.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 528
51.4%
451
43.9%
- 37
 
3.6%
) 2
 
0.2%
( 2
 
0.2%
b 1
 
0.1%
T 1
 
0.1%
k 1
 
0.1%
, 1
 
0.1%
K 1
 
0.1%
Other values (2) 2
 
0.2%
Hangul
ValueCountFrequency (%)
동 134
 
8.1%
성 104
 
6.3%
북 103
 
6.2%
구 100
 
6.0%
서 100
 
6.0%
시 100
 
6.0%
울 99
 
6.0%
별 99
 
6.0%
특 99
 
6.0%
지 55
 
3.3%
Other values (118) 669
40.3%

도로명주소
Text

MISSING 

Distinct70
Distinct (%)93.3%
Missing58
Missing (%)43.6%
Memory size1.2 KiB
2024-04-06T21:47:20.833547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length42
Mean length36.173333
Min length23

Characters and Unicode

Total characters2713
Distinct characters143
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique65 ?
Unique (%)86.7%

Sample

1st row서울특별시 성북구 한천로 ***, ***호 (장위동)
2nd row서울특별시 성북구 지봉로**길 ** (보문동*가, 여성중앙회*층)
3rd row서울특별시 성북구 보문로**길 ** (안암동*가, 기남빌딩*층)
4th row서울특별시 성북구 보문로 **, *층 (보문동*가, **,**번지엠투스케어)
5th row서울특별시 성북구 보문로 ***, ***호 (삼선동*가)
ValueCountFrequency (%)
서울특별시 75
14.6%
성북구 75
14.6%
74
14.4%
층 42
 
8.2%
호 32
 
6.2%
동선동*가 16
 
3.1%
장위동 11
 
2.1%
동소문동*가 9
 
1.8%
동소문로**길 8
 
1.6%
동 7
 
1.4%
Other values (98) 165
32.1%
2024-04-06T21:47:21.720482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 460
17.0%
441
 
16.3%
동 131
 
4.8%
, 97
 
3.6%
성 82
 
3.0%
북 82
 
3.0%
서 77
 
2.8%
시 76
 
2.8%
구 76
 
2.8%
울 75
 
2.8%
Other values (133) 1116
41.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1548
57.1%
Other Punctuation 557
 
20.5%
Space Separator 441
 
16.3%
Close Punctuation 75
 
2.8%
Open Punctuation 75
 
2.8%
Dash Punctuation 13
 
0.5%
Uppercase Letter 3
 
0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 131
 
8.5%
성 82
 
5.3%
북 82
 
5.3%
서 77
 
5.0%
시 76
 
4.9%
구 76
 
4.9%
울 75
 
4.8%
로 75
 
4.8%
별 75
 
4.8%
특 75
 
4.8%
Other values (124) 724
46.8%
Other Punctuation
ValueCountFrequency (%)
* 460
82.6%
, 97
 
17.4%
Uppercase Letter
ValueCountFrequency (%)
B 2
66.7%
C 1
33.3%
Space Separator
ValueCountFrequency (%)
441
100.0%
Close Punctuation
ValueCountFrequency (%)
) 75
100.0%
Open Punctuation
ValueCountFrequency (%)
( 75
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%
Lowercase Letter
ValueCountFrequency (%)
b 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1548
57.1%
Common 1161
42.8%
Latin 4
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 131
 
8.5%
성 82
 
5.3%
북 82
 
5.3%
서 77
 
5.0%
시 76
 
4.9%
구 76
 
4.9%
울 75
 
4.8%
로 75
 
4.8%
별 75
 
4.8%
특 75
 
4.8%
Other values (124) 724
46.8%
Common
ValueCountFrequency (%)
* 460
39.6%
441
38.0%
, 97
 
8.4%
) 75
 
6.5%
( 75
 
6.5%
- 13
 
1.1%
Latin
ValueCountFrequency (%)
B 2
50.0%
C 1
25.0%
b 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1548
57.1%
ASCII 1165
42.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 460
39.5%
441
37.9%
, 97
 
8.3%
) 75
 
6.4%
( 75
 
6.4%
- 13
 
1.1%
B 2
 
0.2%
C 1
 
0.1%
b 1
 
0.1%
Hangul
ValueCountFrequency (%)
동 131
 
8.5%
성 82
 
5.3%
북 82
 
5.3%
서 77
 
5.0%
시 76
 
4.9%
구 76
 
4.9%
울 75
 
4.8%
로 75
 
4.8%
별 75
 
4.8%
특 75
 
4.8%
Other values (124) 724
46.8%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct52
Distinct (%)69.3%
Missing58
Missing (%)43.6%
Infinite0
Infinite (%)0.0%
Mean33079.027
Minimum2716
Maximum136858
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-06T21:47:22.471909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2716
5-th percentile2724.2
Q12776.5
median2830
Q32857.5
95-th percentile136828.6
Maximum136858
Range134142
Interquartile range (IQR)81

Descriptive statistics

Standard deviation56303.505
Coefficient of variation (CV)1.7020907
Kurtosis-0.23115888
Mean33079.027
Median Absolute Deviation (MAD)50
Skewness1.3325408
Sum2480927
Variance3.1700847 × 109
MonotonicityNot monotonic
2024-04-06T21:47:22.966247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2829 6
 
4.5%
2827 3
 
2.3%
2840 3
 
2.3%
2832 3
 
2.3%
2847 2
 
1.5%
2845 2
 
1.5%
2770 2
 
1.5%
2852 2
 
1.5%
2830 2
 
1.5%
2740 2
 
1.5%
Other values (42) 48
36.1%
(Missing) 58
43.6%
ValueCountFrequency (%)
2716 1
0.8%
2718 1
0.8%
2719 1
0.8%
2720 1
0.8%
2726 1
0.8%
2727 2
1.5%
2729 1
0.8%
2734 1
0.8%
2739 1
0.8%
2740 2
1.5%
ValueCountFrequency (%)
136858 1
0.8%
136849 1
0.8%
136834 1
0.8%
136830 1
0.8%
136828 1
0.8%
136819 1
0.8%
136770 1
0.8%
136141 1
0.8%
136087 1
0.8%
136085 1
0.8%

사업장명
Text

Distinct132
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-04-06T21:47:23.448258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length18
Mean length7.7067669
Min length2

Characters and Unicode

Total characters1025
Distinct characters262
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique131 ?
Unique (%)98.5%

Sample

1st row㈜도서출판 홍진기획
2nd row한경기획
3rd row정읍영농조합
4th row㈜에듀케스트
5th row올앤원정보통신
ValueCountFrequency (%)
주식회사 23
 
13.2%
한국신용관리소 2
 
1.1%
주 2
 
1.1%
리뷰라이크 2
 
1.1%
미디어 2
 
1.1%
두레정보통신 1
 
0.6%
아이티메카 1
 
0.6%
아인스네트워크 1
 
0.6%
하나로어울림국내국제결혼문화원 1
 
0.6%
이지지 1
 
0.6%
Other values (138) 138
79.3%
2024-04-06T21:47:24.437266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
41
 
4.0%
주 41
 
4.0%
이 37
 
3.6%
스 30
 
2.9%
사 26
 
2.5%
회 25
 
2.4%
식 24
 
2.3%
( 22
 
2.1%
) 22
 
2.1%
㈜ 18
 
1.8%
Other values (252) 739
72.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 821
80.1%
Uppercase Letter 56
 
5.5%
Space Separator 41
 
4.0%
Lowercase Letter 32
 
3.1%
Open Punctuation 22
 
2.1%
Close Punctuation 22
 
2.1%
Other Symbol 18
 
1.8%
Other Punctuation 8
 
0.8%
Decimal Number 5
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 41
 
5.0%
이 37
 
4.5%
스 30
 
3.7%
사 26
 
3.2%
회 25
 
3.0%
식 24
 
2.9%
디 16
 
1.9%
트 14
 
1.7%
엠 13
 
1.6%
리 13
 
1.6%
Other values (209) 582
70.9%
Uppercase Letter
ValueCountFrequency (%)
E 5
 
8.9%
P 4
 
7.1%
C 4
 
7.1%
G 4
 
7.1%
A 4
 
7.1%
L 4
 
7.1%
K 3
 
5.4%
B 3
 
5.4%
O 3
 
5.4%
S 3
 
5.4%
Other values (9) 19
33.9%
Lowercase Letter
ValueCountFrequency (%)
n 5
15.6%
i 4
12.5%
m 3
9.4%
t 3
9.4%
a 3
9.4%
u 2
 
6.2%
e 2
 
6.2%
s 2
 
6.2%
o 2
 
6.2%
r 2
 
6.2%
Other values (4) 4
12.5%
Other Punctuation
ValueCountFrequency (%)
. 6
75.0%
: 1
 
12.5%
& 1
 
12.5%
Decimal Number
ValueCountFrequency (%)
0 2
40.0%
7 2
40.0%
8 1
20.0%
Space Separator
ValueCountFrequency (%)
41
100.0%
Open Punctuation
ValueCountFrequency (%)
( 22
100.0%
Close Punctuation
ValueCountFrequency (%)
) 22
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 839
81.9%
Common 98
 
9.6%
Latin 88
 
8.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 41
 
4.9%
이 37
 
4.4%
스 30
 
3.6%
사 26
 
3.1%
회 25
 
3.0%
식 24
 
2.9%
㈜ 18
 
2.1%
디 16
 
1.9%
트 14
 
1.7%
엠 13
 
1.5%
Other values (210) 595
70.9%
Latin
ValueCountFrequency (%)
n 5
 
5.7%
E 5
 
5.7%
P 4
 
4.5%
C 4
 
4.5%
G 4
 
4.5%
A 4
 
4.5%
L 4
 
4.5%
i 4
 
4.5%
K 3
 
3.4%
m 3
 
3.4%
Other values (23) 48
54.5%
Common
ValueCountFrequency (%)
41
41.8%
( 22
22.4%
) 22
22.4%
. 6
 
6.1%
0 2
 
2.0%
7 2
 
2.0%
: 1
 
1.0%
& 1
 
1.0%
8 1
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 821
80.1%
ASCII 186
 
18.1%
None 18
 
1.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
41
22.0%
( 22
 
11.8%
) 22
 
11.8%
. 6
 
3.2%
n 5
 
2.7%
E 5
 
2.7%
P 4
 
2.2%
C 4
 
2.2%
G 4
 
2.2%
A 4
 
2.2%
Other values (32) 69
37.1%
Hangul
ValueCountFrequency (%)
주 41
 
5.0%
이 37
 
4.5%
스 30
 
3.7%
사 26
 
3.2%
회 25
 
3.0%
식 24
 
2.9%
디 16
 
1.9%
트 14
 
1.7%
엠 13
 
1.6%
리 13
 
1.6%
Other values (209) 582
70.9%
None
ValueCountFrequency (%)
㈜ 18
100.0%

최종수정일자
Date

UNIQUE 

Distinct133
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
Minimum2008-06-05 10:33:34
Maximum2024-02-28 09:43:38
2024-04-06T21:47:24.809994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:47:25.134291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
I
97 
U
36 

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 97
72.9%
U 36
 
27.1%

Length

2024-04-06T21:47:25.401219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:47:25.558355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 97
72.9%
u 36
 
27.1%

데이터갱신일자
Categorical

Distinct43
Distinct (%)32.3%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2018-08-31 23:59:59.0
85 
2018-10-20 02:37:51.0
 
3
2019-04-24 02:40:00.0
 
2
2021-11-01 00:04:00.0
 
2
2020-02-14 02:40:00.0
 
2
Other values (38)
39 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique37 ?
Unique (%)27.8%

Sample

1st row2018-08-31 23:59:59.0
2nd row2018-08-31 23:59:59.0
3rd row2018-08-31 23:59:59.0
4th row2018-08-31 23:59:59.0
5th row2018-08-31 23:59:59.0

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 85
63.9%
2018-10-20 02:37:51.0 3
 
2.3%
2019-04-24 02:40:00.0 2
 
1.5%
2021-11-01 00:04:00.0 2
 
1.5%
2020-02-14 02:40:00.0 2
 
1.5%
2022-12-05 22:01:00.0 2
 
1.5%
2018-10-07 02:37:32.0 1
 
0.8%
2019-02-20 02:40:00.0 1
 
0.8%
2022-12-05 23:08:00.0 1
 
0.8%
2019-11-10 02:40:00.0 1
 
0.8%
Other values (33) 33
 
24.8%

Length

2024-04-06T21:47:25.736455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2018-08-31 85
32.0%
23:59:59.0 85
32.0%
02:40:00.0 20
 
7.5%
2018-10-20 3
 
1.1%
02:37:51.0 3
 
1.1%
2022-12-06 3
 
1.1%
2022-12-05 3
 
1.1%
22:01:00.0 3
 
1.1%
02:37:32.0 2
 
0.8%
2022-10-31 2
 
0.8%
Other values (50) 57
21.4%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing133
Missing (%)100.0%
Memory size1.3 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct89
Distinct (%)88.1%
Missing32
Missing (%)24.1%
Infinite0
Infinite (%)0.0%
Mean202228.66
Minimum199474.85
Maximum205736.68
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-06T21:47:26.005467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum199474.85
5-th percentile200621.7
Q1201283.34
median201709.79
Q3203029.59
95-th percentile205024.57
Maximum205736.68
Range6261.8341
Interquartile range (IQR)1746.2512

Descriptive statistics

Standard deviation1373.4312
Coefficient of variation (CV)0.0067914765
Kurtosis-0.10029108
Mean202228.66
Median Absolute Deviation (MAD)637.9899
Skewness0.89753683
Sum20425095
Variance1886313.3
MonotonicityNot monotonic
2024-04-06T21:47:26.356571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
201803.62404929 3
 
2.3%
201524.25234019 2
 
1.5%
201689.960010975 2
 
1.5%
200897.545634313 2
 
1.5%
201051.530215 2
 
1.5%
200608.656831329 2
 
1.5%
201283.33965025 2
 
1.5%
202996.848516403 2
 
1.5%
201236.356607708 2
 
1.5%
201832.543113295 2
 
1.5%
Other values (79) 80
60.2%
(Missing) 32
 
24.1%
ValueCountFrequency (%)
199474.848932609 1
0.8%
200304.919346821 1
0.8%
200390.3494076 1
0.8%
200608.656831329 2
1.5%
200621.698679342 1
0.8%
200771.40526517 1
0.8%
200818.21422675 1
0.8%
200897.545634313 2
1.5%
200963.553532094 1
0.8%
201013.268969793 1
0.8%
ValueCountFrequency (%)
205736.68305598 1
0.8%
205216.606119451 1
0.8%
205213.572449205 1
0.8%
205194.567438369 1
0.8%
205159.455380776 1
0.8%
205024.572303156 1
0.8%
204958.405518224 1
0.8%
204746.21261151 1
0.8%
204744.352139997 1
0.8%
204682.261321205 1
0.8%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct89
Distinct (%)88.1%
Missing32
Missing (%)24.1%
Infinite0
Infinite (%)0.0%
Mean455188.07
Minimum452416.59
Maximum457803.26
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-06T21:47:26.842546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum452416.59
5-th percentile453392.67
Q1454273.33
median454909.18
Q3456227.61
95-th percentile456874.58
Maximum457803.26
Range5386.6727
Interquartile range (IQR)1954.2729

Descriptive statistics

Standard deviation1136.7916
Coefficient of variation (CV)0.0024974109
Kurtosis-0.68764727
Mean455188.07
Median Absolute Deviation (MAD)735.40946
Skewness0.1836557
Sum45973995
Variance1292295.2
MonotonicityNot monotonic
2024-04-06T21:47:27.257052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
454867.240191258 3
 
2.3%
454675.680802627 2
 
1.5%
454189.203902246 2
 
1.5%
454339.288058541 2
 
1.5%
455277.806044 2
 
1.5%
454200.586664535 2
 
1.5%
454954.611666482 2
 
1.5%
455644.585194783 2
 
1.5%
454263.493710962 2
 
1.5%
453378.742016912 2
 
1.5%
Other values (79) 80
60.2%
(Missing) 32
 
24.1%
ValueCountFrequency (%)
452416.591916256 1
0.8%
453156.226397094 1
0.8%
453158.83013214 1
0.8%
453378.742016912 2
1.5%
453392.673414084 1
0.8%
453458.205063329 1
0.8%
453573.346543801 1
0.8%
453887.31273279 1
0.8%
454016.33088289 1
0.8%
454102.449046418 1
0.8%
ValueCountFrequency (%)
457803.264646008 1
0.8%
457499.870344899 1
0.8%
457377.671933134 1
0.8%
457331.720828501 1
0.8%
457083.678530513 1
0.8%
456874.582306232 1
0.8%
456833.415398044 1
0.8%
456806.488451811 1
0.8%
456779.949363989 1
0.8%
456753.873513306 1
0.8%

자산규모
Real number (ℝ)

MISSING  ZEROS 

Distinct36
Distinct (%)72.0%
Missing83
Missing (%)62.4%
Infinite0
Infinite (%)0.0%
Mean5.6916722 × 108
Minimum0
Maximum1.15 × 1010
Zeros13
Zeros (%)9.8%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-06T21:47:27.492705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.25
median1.2780881 × 108
Q32.9243218 × 108
95-th percentile1.6477986 × 109
Maximum1.15 × 1010
Range1.15 × 1010
Interquartile range (IQR)2.9243218 × 108

Descriptive statistics

Standard deviation1.7731413 × 109
Coefficient of variation (CV)3.1153257
Kurtosis31.305145
Mean5.6916722 × 108
Median Absolute Deviation (MAD)1.2780881 × 108
Skewness5.3767179
Sum2.8458361 × 1010
Variance3.1440299 × 1018
MonotonicityNot monotonic
2024-04-06T21:47:27.855217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
0 13
 
9.8%
100000000 2
 
1.5%
150000000 2
 
1.5%
175953588 1
 
0.8%
130923148 1
 
0.8%
124694471 1
 
0.8%
634893796 1
 
0.8%
42975967 1
 
0.8%
269728708 1
 
0.8%
301177256 1
 
0.8%
Other values (26) 26
 
19.5%
(Missing) 83
62.4%
ValueCountFrequency (%)
0 13
9.8%
1 1
 
0.8%
5000 1
 
0.8%
10000000 1
 
0.8%
11499454 1
 
0.8%
12883200 1
 
0.8%
17140417 1
 
0.8%
20000000 1
 
0.8%
42975967 1
 
0.8%
90000311 1
 
0.8%
ValueCountFrequency (%)
11500000000 1
0.8%
5300000000 1
0.8%
1850542872 1
0.8%
1400000000 1
0.8%
1153192949 1
0.8%
839322914 1
0.8%
768471569 1
0.8%
634893796 1
0.8%
590121403 1
0.8%
570000000 1
0.8%

부채총액
Real number (ℝ)

MISSING  ZEROS 

Distinct29
Distinct (%)58.0%
Missing83
Missing (%)62.4%
Infinite0
Infinite (%)0.0%
Mean4.9220468 × 108
Minimum0
Maximum6.6 × 109
Zeros22
Zeros (%)16.5%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-06T21:47:28.222072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median6773182.5
Q31.4582449 × 108
95-th percentile3.5246508 × 109
Maximum6.6 × 109
Range6.6 × 109
Interquartile range (IQR)1.4582449 × 108

Descriptive statistics

Standard deviation1.4567585 × 109
Coefficient of variation (CV)2.9596601
Kurtosis12.705829
Mean4.9220468 × 108
Median Absolute Deviation (MAD)6773182.5
Skewness3.6815778
Sum2.4610234 × 1010
Variance2.1221454 × 1018
MonotonicityNot monotonic
2024-04-06T21:47:28.456058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
0 22
 
16.5%
35093249 1
 
0.8%
564491617 1
 
0.8%
42523556 1
 
0.8%
147538487 1
 
0.8%
772234339 1
 
0.8%
79120007 1
 
0.8%
1 1
 
0.8%
321095839 1
 
0.8%
80425782 1
 
0.8%
Other values (19) 19
 
14.3%
(Missing) 83
62.4%
ValueCountFrequency (%)
0 22
16.5%
1 1
 
0.8%
5000 1
 
0.8%
4805410 1
 
0.8%
8740955 1
 
0.8%
20000000 1
 
0.8%
35093249 1
 
0.8%
42523556 1
 
0.8%
50000000 1
 
0.8%
79120007 1
 
0.8%
ValueCountFrequency (%)
6600000000 1
0.8%
6400000000 1
0.8%
5200000000 1
0.8%
1477001781 1
0.8%
772234339 1
0.8%
670000000 1
0.8%
658856942 1
0.8%
564491617 1
0.8%
488940880 1
0.8%
321095839 1
0.8%

자본금
Real number (ℝ)

MISSING  ZEROS 

Distinct23
Distinct (%)46.0%
Missing83
Missing (%)62.4%
Infinite0
Infinite (%)0.0%
Mean2.428424 × 108
Minimum-4.7105708 × 108
Maximum4.3 × 109
Zeros7
Zeros (%)5.3%
Negative1
Negative (%)0.8%
Memory size1.3 KiB
2024-04-06T21:47:28.702183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4.7105708 × 108
5-th percentile0
Q15250322
median50000000
Q31.1664267 × 108
95-th percentile7.0071274 × 108
Maximum4.3 × 109
Range4.7710571 × 109
Interquartile range (IQR)1.1139234 × 108

Descriptive statistics

Standard deviation7.7690928 × 108
Coefficient of variation (CV)3.1992324
Kurtosis21.118728
Mean2.428424 × 108
Median Absolute Deviation (MAD)50000000
Skewness4.573076
Sum1.214212 × 1010
Variance6.0358803 × 1017
MonotonicityNot monotonic
2024-04-06T21:47:28.925974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
100000000 9
 
6.8%
50000000 7
 
5.3%
0 7
 
5.3%
10000000 3
 
2.3%
20000000 3
 
2.3%
1000000 2
 
1.5%
200000000 2
 
1.5%
150000000 2
 
1.5%
3500000000 1
 
0.8%
89601222 1
 
0.8%
Other values (13) 13
 
9.8%
(Missing) 83
62.4%
ValueCountFrequency (%)
-471057083 1
 
0.8%
0 7
5.3%
1 1
 
0.8%
5000 1
 
0.8%
1000000 2
 
1.5%
3667096 1
 
0.8%
10000000 3
2.3%
20000000 3
2.3%
50000000 7
5.3%
70140179 1
 
0.8%
ValueCountFrequency (%)
4300000000 1
0.8%
3500000000 1
0.8%
832097110 1
0.8%
540131844 1
0.8%
333344585 1
0.8%
300000000 1
0.8%
250000000 1
0.8%
230000000 1
0.8%
200000000 2
1.5%
150000000 2
1.5%

판매방식명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing133
Missing (%)100.0%
Memory size1.3 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)자산규모부채총액자본금판매방식명
03070000200230701342420000120020814<NA>3폐업3폐업처리20030506<NA><NA><NA>02-757-5450<NA><NA>서울특별시 성북구 동선동*가 ***<NA><NA>㈜도서출판 홍진기획2008-06-11 18:28:47I2018-08-31 23:59:59.0<NA><NA><NA>15000000050000000100000000<NA>
13070000200330701342420000120030327<NA>3폐업3폐업처리20060825<NA><NA>2003032702-3292-1328<NA><NA>서울특별시 성북구 하월곡동 **-* 트리즘빌딩 ***호<NA><NA>한경기획2008-06-11 17:17:39I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
23070000200330701342420000220031103<NA>3폐업3폐업처리20040701<NA><NA><NA>02-960-6142<NA><NA>서울특별시 성북구 석관동 ***-**,**호<NA><NA>정읍영농조합2008-06-11 18:23:36I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
33070000200330701342420000320031208200808144취소/말소/만료/정지/중지4직권취소20080814<NA><NA>2003120802-924-1622<NA><NA>서울특별시 성북구 삼선동*가 ***<NA><NA>㈜에듀케스트2008-08-16 15:31:30I2018-08-31 23:59:59.0<NA><NA><NA>000<NA>
43070000200430701342420000120040213<NA>3폐업3폐업처리20050414<NA><NA><NA>02-1566-3008<NA><NA>서울특별시 성북구 하월곡동 **-* 트리즘빌딩 ***호<NA><NA>올앤원정보통신2008-06-11 18:13:25I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
53070000200430701342420000220040423<NA>3폐업3폐업처리20070412<NA><NA><NA><NA><NA><NA>서울특별시 성북구 동선동*가 **-* 청전빌딩 ***호<NA><NA>대한전자상거래교육원2008-06-11 18:25:23I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
63070000200430701342420000320040528<NA>3폐업3폐업처리20040610<NA><NA><NA>02-988-0239<NA><NA>서울특별시 성북구 길음동 ****-** 태창빌딩 ***호<NA><NA>은혜의집2008-06-11 18:24:26I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
73070000200430701342420000420040903<NA>3폐업3폐업처리20041126<NA><NA><NA><NA><NA><NA>서울특별시 성북구 돈암동 ***-* 한진(아) ***-****<NA><NA>코리아나2008-06-11 18:21:51I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
83070000200430701342420000520041022<NA>3폐업3폐업처리20080603<NA><NA><NA>02-6407-8080<NA><NA>서울특별시 성북구 석관동 ***-* 동우빌딩 ***<NA><NA>KT080프리텔2008-06-11 18:19:10I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
93070000200430701342420000620041109200808144취소/말소/만료/정지/중지4직권취소20080814<NA><NA><NA>02-926-0657<NA><NA>서울특별시 성북구 안암동*가 ***-* 대광(아) 다-***<NA><NA>프롬밀라노2008-08-16 15:30:55I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)자산규모부채총액자본금판매방식명
1233070000202130702862420000220210317<NA>1영업/정상1정상영업<NA><NA><NA><NA>02-919-8990<NA><NA>서울특별시 성북구 길음동 **** 길음뉴타운서울특별시 성북구 길음로 **, 비동 *층 *호 (길음동, 길음뉴타운)2720주식회사 거인통신2021-03-18 08:59:42I2021-03-20 00:22:59.0<NA>201514.982796456137.08431663489379656449161770140179<NA>
1243070000202130702862420000320210317<NA>3폐업3폐업처리20220112<NA><NA><NA>02-<NA><NA>서울특별시 성북구 길음동 **** 길음동동부센트레빌아파트서울특별시 성북구 숭인로 **, 길음동동부센트레빌아파트 분산상가동 *층 ***호 (길음동)2726성실파이낸셜대부중개2022-01-12 09:42:00U2022-01-14 02:40:00.0<NA>202073.752579456449.070691000<NA>
125307000020213070286242000042021-04-09<NA>3폐업3폐업처리2023-07-19<NA><NA><NA>02-909-5522<NA><NA>서울특별시 성북구 장위동 ***-* 장월지구근린생활시설서울특별시 성북구 한천로***길 **, 장월지구근린생활시설 ***호 (장위동)2759(주)우일씨앤아이2023-07-19 16:43:15U2022-12-06 22:01:00.0<NA>204242.165349457803.264646<NA><NA><NA><NA>
1263070000202130702862420000520210811<NA>1영업/정상1정상영업<NA><NA><NA><NA>02-<NA><NA>서울특별시 성북구 동선동*가 *** 지안빌딩서울특별시 성북구 동소문로**길 *-**, 지안빌딩 *층 (동선동*가)2829주식회사 리뷰라이크2021-08-11 10:37:28I2021-08-13 00:22:51.0<NA>201524.25234454675.6808031246944713509324989601222<NA>
1273070000202230702862420000120220506<NA>1영업/정상1정상영업<NA><NA><NA><NA>02-942-8277<NA><NA>서울특별시 성북구 하월곡동 **-**서울특별시 성북구 동소문로 ***(하월곡동)2734랑앤컴퍼니2022-05-09 16:45:19I2021-12-04 23:01:00.0<NA>202355.569516455951.297004<NA><NA><NA><NA>
128307000020233070299242000012023-02-06<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 16:49:35U2022-11-01 22:03:00.0<NA>201214.587799454466.978156<NA><NA><NA><NA>
129307000020233070299242000022023-05-09<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 09:43:38U2023-12-03 00:01:00.0<NA>202337.783039456539.190686<NA><NA><NA><NA>
130307000020233070299242000032023-06-19<NA>1영업/정상1정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 성북구 장위동 **-** *층서울특별시 성북구 장위로**다길 **, *층 (장위동)2770주식회사 더피엔엘2023-06-19 14:17:05I2022-12-05 22:01:00.0<NA>204658.538567456604.835523<NA><NA><NA><NA>
131307000020233070299242000042022-04-06<NA>1영업/정상1정상영업<NA><NA><NA><NA>02-6929-4230<NA><NA>서울특별시 성북구 삼선동*가 ***-** 반곡오피스텔플러스 *층서울특별시 성북구 보문로 ***, 반곡오피스텔플러스 *층 (삼선동*가)2847주식회사 빅디퍼(BIG DIPPER)2023-11-10 11:29:41I2022-10-31 23:02:00.0<NA>201236.356608454263.493711<NA><NA><NA><NA>
132307000020233070299242000052023-11-17<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 16:48:21I2022-10-31 22:02:00.0<NA>204746.212612456616.565104<NA><NA><NA><NA>