Overview

Dataset statistics

Number of variables29
Number of observations1073
Missing cells8569
Missing cells (%)27.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory260.0 KiB
Average record size in memory248.1 B

Variable types

Categorical10
Numeric7
DateTime4
Text5
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
Author양천구
URLhttps://data.seoul.go.kr/dataList/OA-18766/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
휴업시작일자 is highly imbalanced (98.9%)Imbalance
휴업종료일자 is highly imbalanced (98.9%)Imbalance
재개업일자 is highly imbalanced (98.6%)Imbalance
소재지우편번호 is highly imbalanced (56.5%)Imbalance
인허가취소일자 has 963 (89.7%) missing valuesMissing
폐업일자 has 384 (35.8%) missing valuesMissing
전화번호 has 166 (15.5%) missing valuesMissing
소재지면적 has 1073 (100.0%) missing valuesMissing
지번주소 has 147 (13.7%) missing valuesMissing
도로명주소 has 82 (7.6%) missing valuesMissing
도로명우편번호 has 724 (67.5%) missing valuesMissing
업태구분명 has 1073 (100.0%) missing valuesMissing
좌표정보(X) has 77 (7.2%) missing valuesMissing
좌표정보(Y) has 77 (7.2%) missing valuesMissing
자산규모 has 914 (85.2%) missing valuesMissing
부채총액 has 908 (84.6%) missing valuesMissing
자본금 has 908 (84.6%) missing valuesMissing
판매방식명 has 1073 (100.0%) missing valuesMissing
좌표정보(X) is highly skewed (γ1 = 29.84324616)Skewed
좌표정보(Y) is highly skewed (γ1 = -30.33605798)Skewed
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 31 (2.9%) zerosZeros
부채총액 has 67 (6.2%) zerosZeros
자본금 has 31 (2.9%) zerosZeros

Reproduction

Analysis started2024-05-11 01:11:11.229442
Analysis finished2024-05-11 01:11:13.907386
Duration2.68 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size8.5 KiB
3140000
1073 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3140000
2nd row3140000
3rd row3140000
4th row3140000
5th row3140000

Common Values

ValueCountFrequency (%)
3140000 1073
100.0%

Length

2024-05-11T01:11:14.119507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:11:14.449564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3140000 1073
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct1073
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0093988 × 1018
Minimum1.996314 × 1018
Maximum2.024314 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.6 KiB
2024-05-11T01:11:14.969004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.996314 × 1018
5-th percentile2.000314 × 1018
Q12.006314 × 1018
median2.007314 × 1018
Q32.012314 × 1018
95-th percentile2.021314 × 1018
Maximum2.024314 × 1018
Range2.8000005 × 1016
Interquartile range (IQR)6 × 1015

Descriptive statistics

Standard deviation5.8707554 × 1015
Coefficient of variation (CV)0.0029216477
Kurtosis-0.12503068
Mean2.0093988 × 1018
Median Absolute Deviation (MAD)3 × 1015
Skewness0.51297906
Sum-2.1841211 × 1018
Variance3.446577 × 1031
MonotonicityStrictly increasing
2024-05-11T01:11:15.583926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1996314011423200007 1
 
0.1%
2011314011423200020 1
 
0.1%
2011314011423200006 1
 
0.1%
2011314011423200007 1
 
0.1%
2011314011423200008 1
 
0.1%
2011314011423200009 1
 
0.1%
2011314011423200010 1
 
0.1%
2011314011423200011 1
 
0.1%
2011314011423200012 1
 
0.1%
2011314011423200013 1
 
0.1%
Other values (1063) 1063
99.1%
ValueCountFrequency (%)
1996314011423200007 1
0.1%
1996314011423200009 1
0.1%
1996314011423200012 1
0.1%
1996314011423200023 1
0.1%
1996314011423200030 1
0.1%
1996314011423200031 1
0.1%
1996314011423200032 1
0.1%
1996314011423200034 1
0.1%
1996314011423200039 1
0.1%
1997314011423200049 1
0.1%
ValueCountFrequency (%)
2024314016723200005 1
0.1%
2024314016723200004 1
0.1%
2024314016723200003 1
0.1%
2024314016723200002 1
0.1%
2024314016723200001 1
0.1%
2023314016723200012 1
0.1%
2023314016723200011 1
0.1%
2023314016723200010 1
0.1%
2023314016723200009 1
0.1%
2023314016723200008 1
0.1%

인허가일자
Date

Distinct893
Distinct (%)83.2%
Missing0
Missing (%)0.0%
Memory size8.5 KiB
Minimum1996-07-22 00:00:00
Maximum2024-04-04 00:00:00
2024-05-11T01:11:16.258585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T01:11:16.897084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)6.4%
Missing963
Missing (%)89.7%
Infinite0
Infinite (%)0.0%
Mean20083027
Minimum20080724
Maximum20141231
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.6 KiB
2024-05-11T01:11:17.324817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20080724
5-th percentile20080804
Q120080811
median20080811
Q320081009
95-th percentile20100511
Maximum20141231
Range60507
Interquartile range (IQR)198

Descriptive statistics

Standard deviation7784.1073
Coefficient of variation (CV)0.00038759632
Kurtosis29.443377
Mean20083027
Median Absolute Deviation (MAD)7
Skewness4.8394544
Sum2.209133 × 109
Variance60592326
MonotonicityNot monotonic
2024-05-11T01:11:17.901269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
20080811 45
 
4.2%
20081009 32
 
3.0%
20080804 21
 
2.0%
20100511 9
 
0.8%
20080731 1
 
0.1%
20080724 1
 
0.1%
20141231 1
 
0.1%
(Missing) 963
89.7%
ValueCountFrequency (%)
20080724 1
 
0.1%
20080731 1
 
0.1%
20080804 21
2.0%
20080811 45
4.2%
20081009 32
3.0%
20100511 9
 
0.8%
20141231 1
 
0.1%
ValueCountFrequency (%)
20141231 1
 
0.1%
20100511 9
 
0.8%
20081009 32
3.0%
20080811 45
4.2%
20080804 21
2.0%
20080731 1
 
0.1%
20080724 1
 
0.1%

영업상태코드
Categorical

Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size8.5 KiB
3
682 
4
292 
1
92 
5
 
7

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 682
63.6%
4 292
27.2%
1 92
 
8.6%
5 7
 
0.7%

Length

2024-05-11T01:11:18.451438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:11:18.918827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 682
63.6%
4 292
27.2%
1 92
 
8.6%
5 7
 
0.7%

영업상태명
Categorical

Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size8.5 KiB
폐업
682 
취소/말소/만료/정지/중지
292 
영업/정상
92 
제외/삭제/전출
 
7

Length

Max length14
Median length2
Mean length5.5619758
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 682
63.6%
취소/말소/만료/정지/중지 292
27.2%
영업/정상 92
 
8.6%
제외/삭제/전출 7
 
0.7%

Length

2024-05-11T01:11:19.356754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:11:19.746593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 682
63.6%
취소/말소/만료/정지/중지 292
27.2%
영업/정상 92
 
8.6%
제외/삭제/전출 7
 
0.7%

상세영업상태코드
Categorical

Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size8.5 KiB
3
682 
7
182 
4
110 
1
92 
5
 
7

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 682
63.6%
7 182
 
17.0%
4 110
 
10.3%
1 92
 
8.6%
5 7
 
0.7%

Length

2024-05-11T01:11:20.147771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:11:20.553748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 682
63.6%
7 182
 
17.0%
4 110
 
10.3%
1 92
 
8.6%
5 7
 
0.7%

상세영업상태명
Categorical

Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size8.5 KiB
폐업처리
682 
직권말소
182 
직권취소
110 
정상영업
92 
타시군구이관
 
7

Length

Max length6
Median length4
Mean length4.0130475
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업처리 682
63.6%
직권말소 182
 
17.0%
직권취소 110
 
10.3%
정상영업 92
 
8.6%
타시군구이관 7
 
0.7%

Length

2024-05-11T01:11:20.885041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:11:21.252241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업처리 682
63.6%
직권말소 182
 
17.0%
직권취소 110
 
10.3%
정상영업 92
 
8.6%
타시군구이관 7
 
0.7%

폐업일자
Date

MISSING 

Distinct576
Distinct (%)83.6%
Missing384
Missing (%)35.8%
Memory size8.5 KiB
Minimum1997-01-22 00:00:00
Maximum2024-05-08 00:00:00
2024-05-11T01:11:21.684797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T01:11:22.110173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.5 KiB
<NA>
1072 
20041201
 
1

Length

Max length8
Median length4
Mean length4.0037279
Min length4

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1072
99.9%
20041201 1
 
0.1%

Length

2024-05-11T01:11:22.552398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:11:23.016319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1072
99.9%
20041201 1
 
0.1%

휴업종료일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.5 KiB
<NA>
1072 
20041231
 
1

Length

Max length8
Median length4
Mean length4.0037279
Min length4

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1072
99.9%
20041231 1
 
0.1%

Length

2024-05-11T01:11:23.323497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:11:23.640553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1072
99.9%
20041231 1
 
0.1%

재개업일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.5 KiB
<NA>
1071 
20170810
 
1
20201006
 
1

Length

Max length8
Median length4
Mean length4.0074557
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> 1071
99.8%
20170810 1
 
0.1%
20201006 1
 
0.1%

Length

2024-05-11T01:11:23.946679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:11:24.297768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1071
99.8%
20170810 1
 
0.1%
20201006 1
 
0.1%

전화번호
Text

MISSING 

Distinct493
Distinct (%)54.4%
Missing166
Missing (%)15.5%
Memory size8.5 KiB
2024-05-11T01:11:24.779330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length6.4255788
Min length1

Characters and Unicode

Total characters5828
Distinct characters14
Distinct categories5 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique461 ?
Unique (%)50.8%

Sample

1st row691-8712
2nd row2601-1359
3rd row696-9249
4th row1
5th row11
ValueCountFrequency (%)
250
27.5%
1 53
 
5.8%
02 41
 
4.5%
11 25
 
2.7%
02-2691-6566 19
 
2.1%
0 5
 
0.5%
2691-6566 5
 
0.5%
02-2695-9952 3
 
0.3%
02-3411-8600 2
 
0.2%
2644-7582 2
 
0.2%
Other values (484) 505
55.5%
2024-05-11T01:11:25.854786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 869
14.9%
6 787
13.5%
- 760
13.0%
0 680
11.7%
1 480
8.2%
4 394
6.8%
9 374
6.4%
5 361
6.2%
3 297
 
5.1%
8 288
 
4.9%
Other values (4) 538
9.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4803
82.4%
Dash Punctuation 760
 
13.0%
Other Punctuation 261
 
4.5%
Space Separator 3
 
0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 869
18.1%
6 787
16.4%
0 680
14.2%
1 480
10.0%
4 394
8.2%
9 374
7.8%
5 361
7.5%
3 297
 
6.2%
8 288
 
6.0%
7 273
 
5.7%
Dash Punctuation
ValueCountFrequency (%)
- 760
100.0%
Other Punctuation
ValueCountFrequency (%)
. 261
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5828
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 869
14.9%
6 787
13.5%
- 760
13.0%
0 680
11.7%
1 480
8.2%
4 394
6.8%
9 374
6.4%
5 361
6.2%
3 297
 
5.1%
8 288
 
4.9%
Other values (4) 538
9.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5828
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 869
14.9%
6 787
13.5%
- 760
13.0%
0 680
11.7%
1 480
8.2%
4 394
6.8%
9 374
6.4%
5 361
6.2%
3 297
 
5.1%
8 288
 
4.9%
Other values (4) 538
9.2%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1073
Missing (%)100.0%
Memory size9.6 KiB

소재지우편번호
Categorical

IMBALANCE 

Distinct37
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size8.5 KiB
<NA>
527 
158070
224 
158050
176 
158090
69 
158051
 
8
Other values (32)
69 

Length

Max length7
Median length6
Mean length5.0214352
Min length4

Unique

Unique16 ?
Unique (%)1.5%

Sample

1st row158070
2nd row158070
3rd row158090
4th row158070
5th row158070

Common Values

ValueCountFrequency (%)
<NA> 527
49.1%
158070 224
20.9%
158050 176
 
16.4%
158090 69
 
6.4%
158051 8
 
0.7%
158091 6
 
0.6%
158071 5
 
0.5%
158053 5
 
0.5%
158093 5
 
0.5%
158092 5
 
0.5%
Other values (27) 43
 
4.0%

Length

2024-05-11T01:11:26.273836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 527
49.1%
158070 224
20.9%
158050 176
 
16.4%
158090 69
 
6.4%
158051 8
 
0.7%
158091 6
 
0.6%
158071 5
 
0.5%
158053 5
 
0.5%
158093 5
 
0.5%
158092 5
 
0.5%
Other values (27) 43
 
4.0%

지번주소
Text

MISSING 

Distinct465
Distinct (%)50.2%
Missing147
Missing (%)13.7%
Memory size8.5 KiB
2024-05-11T01:11:26.684198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length38
Mean length26.99892
Min length12

Characters and Unicode

Total characters25001
Distinct characters253
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

Unique383 ?
Unique (%)41.4%

Sample

1st row서울특별시 양천구 신정동 ***번지 *호
2nd row서울특별시 양천구 신정동 ***번지 **호 *층
3rd row서울특별시 양천구 신월동 ***번지 *호 양천빌딩 ***호
4th row서울특별시 양천구 신정동 ***번지 *호
5th row서울특별시 양천구 신정동 ***번지 *호
ValueCountFrequency (%)
호 956
17.8%
서울특별시 921
17.2%
양천구 919
17.1%
번지 833
15.5%
신정동 372
 
6.9%
목동 307
 
5.7%
신월동 237
 
4.4%
층 153
 
2.8%
110
 
2.0%
동 42
 
0.8%
Other values (348) 520
9.7%
2024-05-11T01:11:27.661309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 5306
21.2%
4477
17.9%
동 1033
 
4.1%
호 1010
 
4.0%
시 940
 
3.8%
양 935
 
3.7%
서 933
 
3.7%
천 930
 
3.7%
구 926
 
3.7%
울 924
 
3.7%
Other values (243) 7587
30.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 15053
60.2%
Other Punctuation 5319
 
21.3%
Space Separator 4477
 
17.9%
Dash Punctuation 83
 
0.3%
Open Punctuation 19
 
0.1%
Close Punctuation 19
 
0.1%
Uppercase Letter 17
 
0.1%
Decimal Number 12
 
< 0.1%
Math Symbol 1
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 1033
 
6.9%
호 1010
 
6.7%
시 940
 
6.2%
양 935
 
6.2%
서 933
 
6.2%
천 930
 
6.2%
구 926
 
6.2%
울 924
 
6.1%
별 922
 
6.1%
특 921
 
6.1%
Other values (221) 5579
37.1%
Decimal Number
ValueCountFrequency (%)
3 2
16.7%
0 2
16.7%
8 2
16.7%
1 2
16.7%
6 1
8.3%
5 1
8.3%
9 1
8.3%
4 1
8.3%
Other Punctuation
ValueCountFrequency (%)
* 5306
99.8%
, 9
 
0.2%
@ 3
 
0.1%
/ 1
 
< 0.1%
Uppercase Letter
ValueCountFrequency (%)
B 11
64.7%
A 3
 
17.6%
D 2
 
11.8%
C 1
 
5.9%
Space Separator
ValueCountFrequency (%)
4477
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 83
100.0%
Open Punctuation
ValueCountFrequency (%)
( 19
100.0%
Close Punctuation
ValueCountFrequency (%)
) 19
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Lowercase Letter
ValueCountFrequency (%)
p 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 15053
60.2%
Common 9930
39.7%
Latin 18
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 1033
 
6.9%
호 1010
 
6.7%
시 940
 
6.2%
양 935
 
6.2%
서 933
 
6.2%
천 930
 
6.2%
구 926
 
6.2%
울 924
 
6.1%
별 922
 
6.1%
특 921
 
6.1%
Other values (221) 5579
37.1%
Common
ValueCountFrequency (%)
* 5306
53.4%
4477
45.1%
- 83
 
0.8%
( 19
 
0.2%
) 19
 
0.2%
, 9
 
0.1%
@ 3
 
< 0.1%
3 2
 
< 0.1%
0 2
 
< 0.1%
8 2
 
< 0.1%
Other values (7) 8
 
0.1%
Latin
ValueCountFrequency (%)
B 11
61.1%
A 3
 
16.7%
D 2
 
11.1%
p 1
 
5.6%
C 1
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 15053
60.2%
ASCII 9948
39.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 5306
53.3%
4477
45.0%
- 83
 
0.8%
( 19
 
0.2%
) 19
 
0.2%
B 11
 
0.1%
, 9
 
0.1%
A 3
 
< 0.1%
@ 3
 
< 0.1%
3 2
 
< 0.1%
Other values (12) 16
 
0.2%
Hangul
ValueCountFrequency (%)
동 1033
 
6.9%
호 1010
 
6.7%
시 940
 
6.2%
양 935
 
6.2%
서 933
 
6.2%
천 930
 
6.2%
구 926
 
6.2%
울 924
 
6.1%
별 922
 
6.1%
특 921
 
6.1%
Other values (221) 5579
37.1%

도로명주소
Text

MISSING 

Distinct723
Distinct (%)73.0%
Missing82
Missing (%)7.6%
Memory size8.5 KiB
2024-05-11T01:11:28.270219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length44
Mean length31.713421
Min length21

Characters and Unicode

Total characters31428
Distinct characters271
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

Unique603 ?
Unique (%)60.8%

Sample

1st row서울특별시 양천구 목동로 *** (신정동)
2nd row서울특별시 양천구 중앙로 ***-* (신정동,*층)
3rd row서울특별시 양천구 신월로 ***, ***호 (신월동,양천빌딩)
4th row서울특별시 양천구 중앙로 *** (신정동)
5th row서울특별시 양천구 오목로 *** (신정동)
ValueCountFrequency (%)
1004
17.2%
서울특별시 991
17.0%
양천구 989
16.9%
호 342
 
5.9%
신정동 247
 
4.2%
층 202
 
3.5%
목동 157
 
2.7%
신월동 150
 
2.6%
오목로 91
 
1.6%
신월로 73
 
1.3%
Other values (499) 1591
27.3%
2024-05-11T01:11:29.474206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 5028
 
16.0%
4853
 
15.4%
동 1452
 
4.6%
서 1063
 
3.4%
, 1040
 
3.3%
양 1021
 
3.2%
로 1019
 
3.2%
시 1006
 
3.2%
천 1000
 
3.2%
) 1000
 
3.2%
Other values (261) 12946
41.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 18325
58.3%
Other Punctuation 6072
 
19.3%
Space Separator 4853
 
15.4%
Close Punctuation 1000
 
3.2%
Open Punctuation 1000
 
3.2%
Dash Punctuation 129
 
0.4%
Uppercase Letter 30
 
0.1%
Decimal Number 15
 
< 0.1%
Math Symbol 3
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 1452
 
7.9%
서 1063
 
5.8%
양 1021
 
5.6%
로 1019
 
5.6%
시 1006
 
5.5%
천 1000
 
5.5%
별 992
 
5.4%
구 992
 
5.4%
울 992
 
5.4%
특 991
 
5.4%
Other values (236) 7797
42.5%
Decimal Number
ValueCountFrequency (%)
1 5
33.3%
7 2
 
13.3%
2 2
 
13.3%
5 2
 
13.3%
9 1
 
6.7%
0 1
 
6.7%
4 1
 
6.7%
6 1
 
6.7%
Uppercase Letter
ValueCountFrequency (%)
B 14
46.7%
A 7
23.3%
C 3
 
10.0%
S 2
 
6.7%
D 2
 
6.7%
K 1
 
3.3%
T 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
* 5028
82.8%
, 1040
 
17.1%
@ 3
 
< 0.1%
/ 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
4853
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1000
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1000
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 129
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%
Lowercase Letter
ValueCountFrequency (%)
p 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 18325
58.3%
Common 13072
41.6%
Latin 31
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 1452
 
7.9%
서 1063
 
5.8%
양 1021
 
5.6%
로 1019
 
5.6%
시 1006
 
5.5%
천 1000
 
5.5%
별 992
 
5.4%
구 992
 
5.4%
울 992
 
5.4%
특 991
 
5.4%
Other values (236) 7797
42.5%
Common
ValueCountFrequency (%)
* 5028
38.5%
4853
37.1%
, 1040
 
8.0%
) 1000
 
7.6%
( 1000
 
7.6%
- 129
 
1.0%
1 5
 
< 0.1%
@ 3
 
< 0.1%
~ 3
 
< 0.1%
7 2
 
< 0.1%
Other values (7) 9
 
0.1%
Latin
ValueCountFrequency (%)
B 14
45.2%
A 7
22.6%
C 3
 
9.7%
S 2
 
6.5%
D 2
 
6.5%
K 1
 
3.2%
T 1
 
3.2%
p 1
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 18325
58.3%
ASCII 13103
41.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 5028
38.4%
4853
37.0%
, 1040
 
7.9%
) 1000
 
7.6%
( 1000
 
7.6%
- 129
 
1.0%
B 14
 
0.1%
A 7
 
0.1%
1 5
 
< 0.1%
C 3
 
< 0.1%
Other values (15) 24
 
0.2%
Hangul
ValueCountFrequency (%)
동 1452
 
7.9%
서 1063
 
5.8%
양 1021
 
5.6%
로 1019
 
5.6%
시 1006
 
5.5%
천 1000
 
5.5%
별 992
 
5.4%
구 992
 
5.4%
울 992
 
5.4%
특 991
 
5.4%
Other values (236) 7797
42.5%

도로명우편번호
Text

MISSING 

Distinct143
Distinct (%)41.0%
Missing724
Missing (%)67.5%
Memory size8.5 KiB
2024-05-11T01:11:30.563612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.4355301
Min length5

Characters and Unicode

Total characters1897
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique77 ?
Unique (%)22.1%

Sample

1st row07959
2nd row158070
3rd row07910
4th row07959
5th row07938
ValueCountFrequency (%)
158070 39
 
11.2%
158050 17
 
4.9%
07945 13
 
3.7%
07946 13
 
3.7%
158090 12
 
3.4%
07938 9
 
2.6%
158857 8
 
2.3%
158860 7
 
2.0%
158811 5
 
1.4%
07997 4
 
1.1%
Other values (133) 222
63.6%
2024-05-11T01:11:32.010838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 489
25.8%
8 335
17.7%
5 235
12.4%
1 217
11.4%
7 209
11.0%
9 168
 
8.9%
4 82
 
4.3%
2 55
 
2.9%
6 51
 
2.7%
3 50
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1891
99.7%
Dash Punctuation 6
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 489
25.9%
8 335
17.7%
5 235
12.4%
1 217
11.5%
7 209
11.1%
9 168
 
8.9%
4 82
 
4.3%
2 55
 
2.9%
6 51
 
2.7%
3 50
 
2.6%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1897
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 489
25.8%
8 335
17.7%
5 235
12.4%
1 217
11.4%
7 209
11.0%
9 168
 
8.9%
4 82
 
4.3%
2 55
 
2.9%
6 51
 
2.7%
3 50
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1897
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 489
25.8%
8 335
17.7%
5 235
12.4%
1 217
11.4%
7 209
11.0%
9 168
 
8.9%
4 82
 
4.3%
2 55
 
2.9%
6 51
 
2.7%
3 50
 
2.6%

사업장명
Text

Distinct962
Distinct (%)89.7%
Missing0
Missing (%)0.0%
Memory size8.5 KiB
2024-05-11T01:11:32.654965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length19
Mean length6.917055
Min length1

Characters and Unicode

Total characters7422
Distinct characters532
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique908 ?
Unique (%)84.6%

Sample

1st row유니베라 목동대리점
2nd row남양알로에
3rd row한림문화공사
4th row서부상사
5th row대우자동차남목동(영)
ValueCountFrequency (%)
주식회사 38
 
2.9%
아모레카운셀러 35
 
2.7%
아모레 12
 
0.9%
인셀덤 11
 
0.8%
주 8
 
0.6%
카운셀러 8
 
0.6%
윤선생영어교실 7
 
0.5%
알로에마임 7
 
0.5%
아모레퍼시픽 7
 
0.5%
목동점 6
 
0.5%
Other values (1048) 1175
89.4%
2024-05-11T01:11:33.924253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
242
 
3.3%
주 188
 
2.5%
이 187
 
2.5%
아 171
 
2.3%
리 168
 
2.3%
사 164
 
2.2%
) 157
 
2.1%
스 152
 
2.0%
( 150
 
2.0%
동 116
 
1.6%
Other values (522) 5727
77.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6581
88.7%
Space Separator 242
 
3.3%
Uppercase Letter 169
 
2.3%
Close Punctuation 157
 
2.1%
Open Punctuation 150
 
2.0%
Lowercase Letter 74
 
1.0%
Other Punctuation 27
 
0.4%
Decimal Number 18
 
0.2%
Other Symbol 2
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 188
 
2.9%
이 187
 
2.8%
아 171
 
2.6%
리 168
 
2.6%
사 164
 
2.5%
스 152
 
2.3%
동 116
 
1.8%
지 108
 
1.6%
점 107
 
1.6%
대 97
 
1.5%
Other values (461) 5123
77.8%
Uppercase Letter
ValueCountFrequency (%)
C 23
13.6%
S 23
13.6%
G 12
 
7.1%
N 10
 
5.9%
I 10
 
5.9%
K 10
 
5.9%
M 8
 
4.7%
T 7
 
4.1%
E 7
 
4.1%
L 6
 
3.6%
Other values (13) 53
31.4%
Lowercase Letter
ValueCountFrequency (%)
e 8
10.8%
c 8
10.8%
n 7
 
9.5%
o 7
 
9.5%
i 6
 
8.1%
a 5
 
6.8%
l 4
 
5.4%
s 4
 
5.4%
b 3
 
4.1%
r 3
 
4.1%
Other values (11) 19
25.7%
Decimal Number
ValueCountFrequency (%)
2 6
33.3%
3 3
16.7%
5 3
16.7%
1 3
16.7%
4 2
 
11.1%
7 1
 
5.6%
Other Punctuation
ValueCountFrequency (%)
. 19
70.4%
& 4
 
14.8%
? 2
 
7.4%
, 1
 
3.7%
/ 1
 
3.7%
Space Separator
ValueCountFrequency (%)
242
100.0%
Close Punctuation
ValueCountFrequency (%)
) 157
100.0%
Open Punctuation
ValueCountFrequency (%)
( 150
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6583
88.7%
Common 596
 
8.0%
Latin 243
 
3.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 188
 
2.9%
이 187
 
2.8%
아 171
 
2.6%
리 168
 
2.6%
사 164
 
2.5%
스 152
 
2.3%
동 116
 
1.8%
지 108
 
1.6%
점 107
 
1.6%
대 97
 
1.5%
Other values (462) 5125
77.9%
Latin
ValueCountFrequency (%)
C 23
 
9.5%
S 23
 
9.5%
G 12
 
4.9%
N 10
 
4.1%
I 10
 
4.1%
K 10
 
4.1%
e 8
 
3.3%
c 8
 
3.3%
M 8
 
3.3%
T 7
 
2.9%
Other values (34) 124
51.0%
Common
ValueCountFrequency (%)
242
40.6%
) 157
26.3%
( 150
25.2%
. 19
 
3.2%
2 6
 
1.0%
& 4
 
0.7%
3 3
 
0.5%
5 3
 
0.5%
1 3
 
0.5%
4 2
 
0.3%
Other values (6) 7
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6581
88.7%
ASCII 839
 
11.3%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
242
28.8%
) 157
18.7%
( 150
17.9%
C 23
 
2.7%
S 23
 
2.7%
. 19
 
2.3%
G 12
 
1.4%
N 10
 
1.2%
I 10
 
1.2%
K 10
 
1.2%
Other values (50) 183
21.8%
Hangul
ValueCountFrequency (%)
주 188
 
2.9%
이 187
 
2.8%
아 171
 
2.6%
리 168
 
2.6%
사 164
 
2.5%
스 152
 
2.3%
동 116
 
1.8%
지 108
 
1.6%
점 107
 
1.6%
대 97
 
1.5%
Other values (461) 5123
77.8%
None
ValueCountFrequency (%)
㈜ 2
100.0%

최종수정일자
Date

UNIQUE 

Distinct1073
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size8.5 KiB
Minimum2007-08-06 15:18:39
Maximum2024-05-08 09:08:50
2024-05-11T01:11:34.586067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T01:11:35.085894image/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 size8.5 KiB
I
906 
U
167 

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 906
84.4%
U 167
 
15.6%

Length

2024-05-11T01:11:35.736768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:11:36.182916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 906
84.4%
u 167
 
15.6%

데이터갱신일자
Date

Distinct154
Distinct (%)14.4%
Missing0
Missing (%)0.0%
Memory size8.5 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-04 23:00:00
2024-05-11T01:11:36.600421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T01:11:37.353999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1073
Missing (%)100.0%
Memory size9.6 KiB

좌표정보(X)
Real number (ℝ)

MISSING  SKEWED 

Distinct589
Distinct (%)59.1%
Missing77
Missing (%)7.2%
Infinite0
Infinite (%)0.0%
Mean187485.03
Minimum175131.08
Maximum409561.12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.6 KiB
2024-05-11T01:11:37.840675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum175131.08
5-th percentile184829.31
Q1186264.64
median187689.72
Q3188249.17
95-th percentile188955.17
Maximum409561.12
Range234430.04
Interquartile range (IQR)1984.5269

Descriptive statistics

Standard deviation7175.4343
Coefficient of variation (CV)0.038272039
Kurtosis924.70846
Mean187485.03
Median Absolute Deviation (MAD)887.34456
Skewness29.843246
Sum1.8673509 × 108
Variance51486858
MonotonicityNot monotonic
2024-05-11T01:11:38.335410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
187734.804380866 53
 
4.9%
188953.066831076 20
 
1.9%
188584.345447275 12
 
1.1%
187916.254332614 10
 
0.9%
186986.032756271 9
 
0.8%
188879.448572755 8
 
0.7%
186065.684789257 8
 
0.7%
187823.500716444 8
 
0.7%
184698.083646784 8
 
0.7%
184972.561922366 7
 
0.7%
Other values (579) 853
79.5%
(Missing) 77
 
7.2%
ValueCountFrequency (%)
175131.079643805 1
 
0.1%
184242.730019702 3
0.3%
184383.170672011 1
 
0.1%
184399.574301212 3
0.3%
184448.497335143 2
0.2%
184467.782954393 2
0.2%
184534.619036954 1
 
0.1%
184554.906476627 1
 
0.1%
184557.424950601 1
 
0.1%
184580.79255426 1
 
0.1%
ValueCountFrequency (%)
409561.11660319 1
 
0.1%
189743.464254868 1
 
0.1%
189508.199599752 1
 
0.1%
189471.306217651 1
 
0.1%
189438.77884145 1
 
0.1%
189366.177705871 1
 
0.1%
189352.841028582 1
 
0.1%
189348.372526225 1
 
0.1%
189332.773428473 3
0.3%
189311.02246611 1
 
0.1%

좌표정보(Y)
Real number (ℝ)

MISSING  SKEWED 

Distinct590
Distinct (%)59.2%
Missing77
Missing (%)7.2%
Infinite0
Infinite (%)0.0%
Mean447143.93
Minimum227675.83
Maximum457755.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.6 KiB
2024-05-11T01:11:38.839151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum227675.83
5-th percentile445964.88
Q1446622.92
median447124.98
Q3448142.23
95-th percentile449567.07
Maximum457755.5
Range230079.67
Interquartile range (IQR)1519.3094

Descriptive statistics

Standard deviation7052.8402
Coefficient of variation (CV)0.015773087
Kurtosis945.03501
Mean447143.93
Median Absolute Deviation (MAD)591.31958
Skewness-30.336058
Sum4.4535536 × 108
Variance49742555
MonotonicityNot monotonic
2024-05-11T01:11:39.395292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
447125.503353306 53
 
4.9%
447333.569187997 20
 
1.9%
447255.070457495 12
 
1.1%
449683.219205227 10
 
0.9%
446593.808608528 9
 
0.8%
446808.521815814 8
 
0.7%
446251.76410763 8
 
0.7%
447457.457884414 8
 
0.7%
448206.385453779 8
 
0.7%
447720.909007686 7
 
0.7%
Other values (580) 853
79.5%
(Missing) 77
 
7.2%
ValueCountFrequency (%)
227675.825736895 1
0.1%
444854.165988454 2
0.2%
444911.609710795 1
0.1%
444982.894549103 1
0.1%
445039.928375227 1
0.1%
445081.396522145 1
0.1%
445104.207668176 1
0.1%
445124.131588947 1
0.1%
445216.899831188 1
0.1%
445256.468917074 1
0.1%
ValueCountFrequency (%)
457755.496921272 1
 
0.1%
449843.203005652 2
 
0.2%
449833.140237863 2
 
0.2%
449789.613381329 5
0.5%
449767.441786782 1
 
0.1%
449749.281558664 2
 
0.2%
449741.504749536 1
 
0.1%
449706.807437882 2
 
0.2%
449701.802558519 3
0.3%
449698.560303556 1
 
0.1%

자산규모
Real number (ℝ)

MISSING  ZEROS 

Distinct46
Distinct (%)28.9%
Missing914
Missing (%)85.2%
Infinite0
Infinite (%)0.0%
Mean4.5278954 × 108
Minimum0
Maximum2 × 1010
Zeros31
Zeros (%)2.9%
Negative0
Negative (%)0.0%
Memory size9.6 KiB
2024-05-11T01:11:39.951478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q351785106
95-th percentile1.3231358 × 109
Maximum2 × 1010
Range2 × 1010
Interquartile range (IQR)51785104

Descriptive statistics

Standard deviation2.2918262 × 109
Coefficient of variation (CV)5.0615705
Kurtosis51.134198
Mean4.5278954 × 108
Median Absolute Deviation (MAD)1
Skewness7.0408978
Sum7.1993537 × 1010
Variance5.2524672 × 1018
MonotonicityNot monotonic
2024-05-11T01:11:40.647788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
1 62
 
5.8%
0 31
 
2.9%
50000000 7
 
0.7%
300000000 6
 
0.6%
100000000 4
 
0.4%
20000000 3
 
0.3%
10000000 3
 
0.3%
30000000 2
 
0.2%
22000000 2
 
0.2%
200000000 2
 
0.2%
Other values (36) 37
 
3.4%
(Missing) 914
85.2%
ValueCountFrequency (%)
0 31
2.9%
1 62
5.8%
50000 1
 
0.1%
3000000 1
 
0.1%
5000000 1
 
0.1%
9197000 1
 
0.1%
10000000 3
 
0.3%
15000000 1
 
0.1%
19498900 1
 
0.1%
20000000 3
 
0.3%
ValueCountFrequency (%)
20000000000 1
0.1%
15000000000 1
0.1%
14275728777 1
0.1%
3676540610 1
0.1%
2229273966 1
0.1%
1810669270 1
0.1%
1730765575 1
0.1%
1361000000 1
0.1%
1318928682 1
0.1%
1180000000 1
0.1%

부채총액
Real number (ℝ)

MISSING  ZEROS 

Distinct34
Distinct (%)20.6%
Missing908
Missing (%)84.6%
Infinite0
Infinite (%)0.0%
Mean3.3130097 × 108
Minimum0
Maximum4.1363073 × 1010
Zeros67
Zeros (%)6.2%
Negative0
Negative (%)0.0%
Memory size9.6 KiB
2024-05-11T01:11:41.220005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile4.2886332 × 108
Maximum4.1363073 × 1010
Range4.1363073 × 1010
Interquartile range (IQR)1

Descriptive statistics

Standard deviation3.2343655 × 109
Coefficient of variation (CV)9.7626202
Kurtosis160.77053
Mean3.3130097 × 108
Median Absolute Deviation (MAD)1
Skewness12.607595
Sum5.466466 × 1010
Variance1.046112 × 1019
MonotonicityNot monotonic
2024-05-11T01:11:41.626103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
0 67
 
6.2%
1 62
 
5.8%
100000000 2
 
0.2%
12000000 2
 
0.2%
4000 2
 
0.2%
50000000 2
 
0.2%
164668414 1
 
0.1%
283264250 1
 
0.1%
3102180162 1
 
0.1%
250000000 1
 
0.1%
Other values (24) 24
 
2.2%
(Missing) 908
84.6%
ValueCountFrequency (%)
0 67
6.2%
1 62
5.8%
1000 1
 
0.1%
4000 2
 
0.2%
195030 1
 
0.1%
1000000 1
 
0.1%
2168690 1
 
0.1%
3000000 1
 
0.1%
5000000 1
 
0.1%
12000000 2
 
0.2%
ValueCountFrequency (%)
41363073015 1
0.1%
3102180162 1
0.1%
2354658061 1
0.1%
1982224867 1
0.1%
1177467252 1
0.1%
845000000 1
0.1%
742423752 1
0.1%
727840617 1
0.1%
461079153 1
0.1%
300000000 1
0.1%

자본금
Real number (ℝ)

MISSING  ZEROS 

Distinct40
Distinct (%)24.2%
Missing908
Missing (%)84.6%
Infinite0
Infinite (%)0.0%
Mean1.7694016 × 108
Minimum0
Maximum2 × 1010
Zeros31
Zeros (%)2.9%
Negative0
Negative (%)0.0%
Memory size9.6 KiB
2024-05-11T01:11:42.437666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q350000000
95-th percentile3.0457733 × 108
Maximum2 × 1010
Range2 × 1010
Interquartile range (IQR)49999999

Descriptive statistics

Standard deviation1.5593274 × 109
Coefficient of variation (CV)8.8127389
Kurtosis162.13399
Mean1.7694016 × 108
Median Absolute Deviation (MAD)1
Skewness12.682167
Sum2.9195126 × 1010
Variance2.431502 × 1018
MonotonicityNot monotonic
2024-05-11T01:11:43.097131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
1 62
 
5.8%
0 31
 
2.9%
50000000 11
 
1.0%
10000000 10
 
0.9%
100000000 7
 
0.7%
20000000 5
 
0.5%
200000000 3
 
0.3%
300000000 2
 
0.2%
5000000 2
 
0.2%
30000000 2
 
0.2%
Other values (30) 30
 
2.8%
(Missing) 908
84.6%
ValueCountFrequency (%)
0 31
2.9%
1 62
5.8%
2 1
 
0.1%
21 1
 
0.1%
1000 1
 
0.1%
4000 1
 
0.1%
50000 1
 
0.1%
3000000 1
 
0.1%
5000000 2
 
0.2%
10000000 10
 
0.9%
ValueCountFrequency (%)
20000000000 1
0.1%
1180000000 1
0.1%
815993415 1
0.1%
591088065 1
0.1%
453201622 1
0.1%
440000000 1
0.1%
400000000 1
0.1%
306000000 1
0.1%
305694165 1
0.1%
300110000 1
0.1%

판매방식명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1073
Missing (%)100.0%
Memory size9.6 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)자산규모부채총액자본금판매방식명
03140000199631401142320000719960910<NA>3폐업3폐업처리20150127<NA><NA><NA>691-8712<NA>158070서울특별시 양천구 신정동 ***번지 *호서울특별시 양천구 목동로 *** (신정동)<NA>유니베라 목동대리점2015-01-27 09:02:38I2018-08-31 23:59:59.0<NA>187943.595446944.9<NA><NA><NA><NA>
13140000199631401142320000919960909<NA>3폐업3폐업처리20140321<NA><NA><NA>2601-1359<NA>158070서울특별시 양천구 신정동 ***번지 **호 *층서울특별시 양천구 중앙로 ***-* (신정동,*층)<NA>남양알로에2014-03-21 11:51:18I2018-08-31 23:59:59.0<NA>186805.701099446834.194942<NA><NA><NA><NA>
23140000199631401142320001219961023<NA>3폐업3폐업처리20060215<NA><NA><NA>696-9249<NA>158090서울특별시 양천구 신월동 ***번지 *호 양천빌딩 ***호서울특별시 양천구 신월로 ***, ***호 (신월동,양천빌딩)<NA>한림문화공사2008-08-20 13:09:53I2018-08-31 23:59:59.0<NA>185660.818756446106.761103<NA><NA><NA><NA>
33140000199631401142320002319961111<NA>3폐업3폐업처리20080807<NA><NA><NA>1<NA>158070서울특별시 양천구 신정동 ***번지 *호서울특별시 양천구 중앙로 *** (신정동)<NA>서부상사2008-08-20 13:16:40I2018-08-31 23:59:59.0<NA>186705.185047447062.58783<NA><NA><NA><NA>
43140000199631401142320003019961115<NA>3폐업3폐업처리20080806<NA><NA><NA>11<NA>158070서울특별시 양천구 신정동 ***번지 *호서울특별시 양천구 오목로 *** (신정동)<NA>대우자동차남목동(영)2008-08-06 13:27:20I2018-08-31 23:59:59.0<NA>187309.190268446979.598893<NA><NA><NA><NA>
53140000199631401142320003119961114<NA>4취소/말소/만료/정지/중지7직권말소<NA><NA><NA><NA>698-4488<NA>158090서울특별시 양천구 신월동 ***번지 *호서울특별시 양천구 남부순환로 *** (신월동)<NA>순환로대우자동차판매2017-05-11 09:55:36I2018-08-31 23:59:59.0<NA>185464.586726446714.493083<NA><NA><NA><NA>
63140000199631401142320003219961114200808114취소/말소/만료/정지/중지4직권취소<NA><NA><NA><NA>1<NA>158050서울특별시 양천구 목동 *번지<NA><NA>녹십초알로에2008-08-20 11:48:36I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
73140000199631401142320003419991114<NA>4취소/말소/만료/정지/중지7직권말소<NA><NA><NA><NA>2601-9229<NA>158097서울특별시 양천구 신월동 ***번지 *호서울특별시 양천구 남부순환로 *** (신월동)<NA>양천GM대우자동차판매회사2014-09-24 16:10:25I2018-08-31 23:59:59.0<NA>185464.586726446714.493083<NA><NA><NA><NA>
83140000199631401142320003919961212<NA>3폐업3폐업처리20131231<NA><NA><NA>2699-0982<NA>158070서울특별시 양천구 신정동 ****번지 *호 동일프라자 ***호, ***호서울특별시 양천구 신정로*길 **-* (신정동,동일프라자 ***호, ***호)<NA>윤선생영어교실 신정학원2013-12-31 14:23:21I2018-08-31 23:59:59.0<NA>185614.002019445613.501448<NA><NA><NA><NA>
93140000199731401142320004919970204<NA>3폐업3폐업처리20080818<NA><NA><NA>604-1734<NA>158070서울특별시 양천구 신정동 ***번지 *호 태남프라자 ***호서울특별시 양천구 오목로 ***, ***호 (신정동,태남프라자)<NA>소망라이프(주)2008-08-18 15:16:08I2018-08-31 23:59:59.0<NA>187219.425446965.375111<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)자산규모부채총액자본금판매방식명
1063314000020233140167232000082022-12-02<NA>5제외/삭제/전출5타시군구이관2024-02-06<NA><NA><NA><NA><NA><NA>서울특별시 양천구 목동 ***-**서울특별시 양천구 목동중앙본로 **-*, *층 (목동)07975열린홀쇼핑2024-02-06 16:51:33U2023-12-02 00:08:00.0<NA>188382.367423448858.535763<NA><NA><NA><NA>
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