Overview

Dataset statistics

Number of variables29
Number of observations740
Missing cells8770
Missing cells (%)40.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory180.8 KiB
Average record size in memory250.2 B

Variable types

Categorical7
Numeric8
DateTime4
Unsupported6
Text4

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
Author은평구
URLhttps://data.seoul.go.kr/dataList/OA-18763/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
재개업일자 is highly imbalanced (97.4%)Imbalance
인허가취소일자 has 740 (100.0%) missing valuesMissing
폐업일자 has 325 (43.9%) missing valuesMissing
휴업시작일자 has 740 (100.0%) missing valuesMissing
휴업종료일자 has 740 (100.0%) missing valuesMissing
전화번호 has 138 (18.6%) missing valuesMissing
소재지면적 has 740 (100.0%) missing valuesMissing
소재지우편번호 has 487 (65.8%) missing valuesMissing
지번주소 has 15 (2.0%) missing valuesMissing
도로명주소 has 318 (43.0%) missing valuesMissing
도로명우편번호 has 492 (66.5%) missing valuesMissing
업태구분명 has 740 (100.0%) missing valuesMissing
좌표정보(X) has 318 (43.0%) missing valuesMissing
좌표정보(Y) has 318 (43.0%) missing valuesMissing
자산규모 has 640 (86.5%) missing valuesMissing
부채총액 has 640 (86.5%) missing valuesMissing
자본금 has 639 (86.4%) missing valuesMissing
판매방식명 has 740 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
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 42 (5.7%) zerosZeros
부채총액 has 68 (9.2%) zerosZeros
자본금 has 38 (5.1%) zerosZeros

Reproduction

Analysis started2024-04-29 19:48:01.677459
Analysis finished2024-04-29 19:48:02.589422
Duration0.91 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
3110000
740 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3110000
2nd row3110000
3rd row3110000
4th row3110000
5th row3110000

Common Values

ValueCountFrequency (%)
3110000 740
100.0%

Length

2024-04-30T04:48:02.655857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:48:02.732879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3110000 740
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct740
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0084597 × 1018
Minimum1.996311 × 1018
Maximum2.024311 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.6 KiB
2024-04-30T04:48:02.824121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.996311 × 1018
5-th percentile1.998261 × 1018
Q12.003311 × 1018
median2.007311 × 1018
Q32.013311 × 1018
95-th percentile2.020311 × 1018
Maximum2.024311 × 1018
Range2.8000011 × 1016
Interquartile range (IQR)1.0000002 × 1016

Descriptive statistics

Standard deviation6.7370557 × 1015
Coefficient of variation (CV)0.0033543395
Kurtosis-0.60116887
Mean2.0084597 × 1018
Median Absolute Deviation (MAD)4.000002 × 1015
Skewness0.33554124
Sum-7.9261204 × 1018
Variance4.5387919 × 1031
MonotonicityStrictly increasing
2024-04-30T04:48:02.936901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1996311011123200001 1
 
0.1%
2011311013123200016 1
 
0.1%
2011311013123200007 1
 
0.1%
2011311013123200008 1
 
0.1%
2011311013123200009 1
 
0.1%
2011311013123200010 1
 
0.1%
2011311013123200011 1
 
0.1%
2011311013123200012 1
 
0.1%
2011311013123200013 1
 
0.1%
2011311013123200014 1
 
0.1%
Other values (730) 730
98.6%
ValueCountFrequency (%)
1996311011123200001 1
0.1%
1996311011123200002 1
0.1%
1996311011123200003 1
0.1%
1996311011123200004 1
0.1%
1996311011123200005 1
0.1%
1996311011123200006 1
0.1%
1996311011123200007 1
0.1%
1996311011123200008 1
0.1%
1996311011123200009 1
0.1%
1996311011123200010 1
0.1%
ValueCountFrequency (%)
2024311021723200006 1
0.1%
2024311021723200005 1
0.1%
2024311021723200004 1
0.1%
2024311021723200003 1
0.1%
2024311021723200002 1
0.1%
2024311021723200001 1
0.1%
2023311021723200009 1
0.1%
2023311021723200008 1
0.1%
2023311021723200007 1
0.1%
2023311021723200006 1
0.1%

인허가일자
Date

Distinct639
Distinct (%)86.4%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
Minimum1996-04-05 00:00:00
Maximum2024-04-03 00:00:00
2024-04-30T04:48:03.053590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:48:03.159228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing740
Missing (%)100.0%
Memory size6.6 KiB

영업상태코드
Categorical

Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
3
413 
4
249 
1
76 
5
 
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 row3

Common Values

ValueCountFrequency (%)
3 413
55.8%
4 249
33.6%
1 76
 
10.3%
5 2
 
0.3%

Length

2024-04-30T04:48:03.257912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:48:03.353383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 413
55.8%
4 249
33.6%
1 76
 
10.3%
5 2
 
0.3%

영업상태명
Categorical

Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
폐업
413 
취소/말소/만료/정지/중지
249 
영업/정상
76 
제외/삭제/전출
 
2

Length

Max length14
Median length2
Mean length6.3621622
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 413
55.8%
취소/말소/만료/정지/중지 249
33.6%
영업/정상 76
 
10.3%
제외/삭제/전출 2
 
0.3%

Length

2024-04-30T04:48:03.456331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:48:03.554507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 413
55.8%
취소/말소/만료/정지/중지 249
33.6%
영업/정상 76
 
10.3%
제외/삭제/전출 2
 
0.3%

상세영업상태코드
Categorical

Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
3
413 
7
249 
1
76 
5
 
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 row3

Common Values

ValueCountFrequency (%)
3 413
55.8%
7 249
33.6%
1 76
 
10.3%
5 2
 
0.3%

Length

2024-04-30T04:48:03.651653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:48:03.740719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 413
55.8%
7 249
33.6%
1 76
 
10.3%
5 2
 
0.3%

상세영업상태명
Categorical

Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
폐업처리
413 
직권말소
249 
정상영업
76 
타시군구이관
 
2

Length

Max length6
Median length4
Mean length4.0054054
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업처리 413
55.8%
직권말소 249
33.6%
정상영업 76
 
10.3%
타시군구이관 2
 
0.3%

Length

2024-04-30T04:48:03.879050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:48:03.985858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업처리 413
55.8%
직권말소 249
33.6%
정상영업 76
 
10.3%
타시군구이관 2
 
0.3%

폐업일자
Date

MISSING 

Distinct380
Distinct (%)91.6%
Missing325
Missing (%)43.9%
Memory size5.9 KiB
Minimum1996-12-20 00:00:00
Maximum2024-03-21 00:00:00
2024-04-30T04:48:04.085317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:48:04.182817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing740
Missing (%)100.0%
Memory size6.6 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing740
Missing (%)100.0%
Memory size6.6 KiB

재개업일자
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
<NA>
736 
20091208
 
1
20071004
 
1
20100122
 
1
20130121
 
1

Length

Max length8
Median length4
Mean length4.0216216
Min length4

Unique

Unique4 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 736
99.5%
20091208 1
 
0.1%
20071004 1
 
0.1%
20100122 1
 
0.1%
20130121 1
 
0.1%

Length

2024-04-30T04:48:04.298331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:48:04.396139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 736
99.5%
20091208 1
 
0.1%
20071004 1
 
0.1%
20100122 1
 
0.1%
20130121 1
 
0.1%

전화번호
Text

MISSING 

Distinct522
Distinct (%)86.7%
Missing138
Missing (%)18.6%
Memory size5.9 KiB
2024-04-30T04:48:04.554435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length11.009967
Min length2

Characters and Unicode

Total characters6628
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique495 ?
Unique (%)82.2%

Sample

1st row02 354 3100
2nd row02 388 3232
3rd row02 303 6777
4th row02 386 8666
5th row02
ValueCountFrequency (%)
02 359
28.1%
354 19
 
1.5%
02-000-0000 19
 
1.5%
388 18
 
1.4%
357 17
 
1.3%
353 15
 
1.2%
359 14
 
1.1%
383 14
 
1.1%
389 13
 
1.0%
355 13
 
1.0%
Other values (599) 778
60.8%
2024-04-30T04:48:04.862621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1107
16.7%
1006
15.2%
2 871
13.1%
3 757
11.4%
5 481
7.3%
8 433
 
6.5%
- 420
 
6.3%
7 381
 
5.7%
1 319
 
4.8%
4 295
 
4.5%
Other values (3) 558
8.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5201
78.5%
Space Separator 1006
 
15.2%
Dash Punctuation 420
 
6.3%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1107
21.3%
2 871
16.7%
3 757
14.6%
5 481
9.2%
8 433
 
8.3%
7 381
 
7.3%
1 319
 
6.1%
4 295
 
5.7%
9 288
 
5.5%
6 269
 
5.2%
Space Separator
ValueCountFrequency (%)
1006
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 420
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6628
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1107
16.7%
1006
15.2%
2 871
13.1%
3 757
11.4%
5 481
7.3%
8 433
 
6.5%
- 420
 
6.3%
7 381
 
5.7%
1 319
 
4.8%
4 295
 
4.5%
Other values (3) 558
8.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6628
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1107
16.7%
1006
15.2%
2 871
13.1%
3 757
11.4%
5 481
7.3%
8 433
 
6.5%
- 420
 
6.3%
7 381
 
5.7%
1 319
 
4.8%
4 295
 
4.5%
Other values (3) 558
8.4%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing740
Missing (%)100.0%
Memory size6.6 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct105
Distinct (%)41.5%
Missing487
Missing (%)65.8%
Infinite0
Infinite (%)0.0%
Mean122597.77
Minimum121883
Maximum122959
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.6 KiB
2024-04-30T04:48:05.000446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum121883
5-th percentile122010
Q1122070
median122838
Q3122895
95-th percentile122935
Maximum122959
Range1076
Interquartile range (IQR)825

Descriptive statistics

Standard deviation391.56747
Coefficient of variation (CV)0.00319392
Kurtosis-1.4474797
Mean122597.77
Median Absolute Deviation (MAD)69
Skewness-0.7053652
Sum31017236
Variance153325.08
MonotonicityNot monotonic
2024-04-30T04:48:05.116122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
122010 18
 
2.4%
122030 9
 
1.2%
122907 8
 
1.1%
122020 8
 
1.1%
122080 7
 
0.9%
122040 7
 
0.9%
122200 7
 
0.9%
122935 6
 
0.8%
122878 6
 
0.8%
122011 6
 
0.8%
Other values (95) 171
 
23.1%
(Missing) 487
65.8%
ValueCountFrequency (%)
121883 1
 
0.1%
122010 18
2.4%
122011 6
 
0.8%
122020 8
1.1%
122030 9
1.2%
122040 7
 
0.9%
122041 4
 
0.5%
122050 5
 
0.7%
122051 3
 
0.4%
122060 1
 
0.1%
ValueCountFrequency (%)
122959 2
 
0.3%
122957 2
 
0.3%
122952 2
 
0.3%
122941 1
 
0.1%
122940 1
 
0.1%
122938 1
 
0.1%
122937 2
 
0.3%
122935 6
0.8%
122933 1
 
0.1%
122932 1
 
0.1%

지번주소
Text

MISSING 

Distinct469
Distinct (%)64.7%
Missing15
Missing (%)2.0%
Memory size5.9 KiB
2024-04-30T04:48:05.309588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length46
Mean length30.190345
Min length17

Characters and Unicode

Total characters21888
Distinct characters227
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

Unique358 ?
Unique (%)49.4%

Sample

1st row서울특별시 은평구 응암동 *-*
2nd row서울특별시 은평구 응암동 ***-*
3rd row서울특별시 은평구 증산동 ***-**
4th row서울특별시 은평구 갈현동 ***-*
5th row서울특별시 은평구 불광동 ***-***
ValueCountFrequency (%)
서울특별시 725
18.7%
은평구 724
18.7%
호 452
11.7%
387
10.0%
번지 364
9.4%
층 193
 
5.0%
응암동 138
 
3.6%
불광동 103
 
2.7%
대조동 83
 
2.1%
갈현동 76
 
2.0%
Other values (211) 629
16.2%
2024-04-30T04:48:05.657822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7065
32.3%
* 3904
17.8%
동 766
 
3.5%
구 752
 
3.4%
은 741
 
3.4%
평 740
 
3.4%
서 735
 
3.4%
시 727
 
3.3%
특 725
 
3.3%
별 725
 
3.3%
Other values (217) 5008
22.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10480
47.9%
Space Separator 7065
32.3%
Other Punctuation 3922
 
17.9%
Dash Punctuation 365
 
1.7%
Uppercase Letter 35
 
0.2%
Decimal Number 11
 
0.1%
Close Punctuation 5
 
< 0.1%
Open Punctuation 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 766
 
7.3%
구 752
 
7.2%
은 741
 
7.1%
평 740
 
7.1%
서 735
 
7.0%
시 727
 
6.9%
특 725
 
6.9%
별 725
 
6.9%
울 725
 
6.9%
호 476
 
4.5%
Other values (191) 3368
32.1%
Decimal Number
ValueCountFrequency (%)
3 2
18.2%
1 2
18.2%
9 1
9.1%
6 1
9.1%
2 1
9.1%
0 1
9.1%
7 1
9.1%
8 1
9.1%
5 1
9.1%
Uppercase Letter
ValueCountFrequency (%)
B 13
37.1%
A 7
20.0%
F 3
 
8.6%
D 3
 
8.6%
T 3
 
8.6%
K 3
 
8.6%
C 2
 
5.7%
S 1
 
2.9%
Other Punctuation
ValueCountFrequency (%)
* 3904
99.5%
, 12
 
0.3%
/ 4
 
0.1%
@ 1
 
< 0.1%
. 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
7065
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 365
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 11373
52.0%
Hangul 10480
47.9%
Latin 35
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 766
 
7.3%
구 752
 
7.2%
은 741
 
7.1%
평 740
 
7.1%
서 735
 
7.0%
시 727
 
6.9%
특 725
 
6.9%
별 725
 
6.9%
울 725
 
6.9%
호 476
 
4.5%
Other values (191) 3368
32.1%
Common
ValueCountFrequency (%)
7065
62.1%
* 3904
34.3%
- 365
 
3.2%
, 12
 
0.1%
) 5
 
< 0.1%
( 5
 
< 0.1%
/ 4
 
< 0.1%
3 2
 
< 0.1%
1 2
 
< 0.1%
9 1
 
< 0.1%
Other values (8) 8
 
0.1%
Latin
ValueCountFrequency (%)
B 13
37.1%
A 7
20.0%
F 3
 
8.6%
D 3
 
8.6%
T 3
 
8.6%
K 3
 
8.6%
C 2
 
5.7%
S 1
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11408
52.1%
Hangul 10480
47.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7065
61.9%
* 3904
34.2%
- 365
 
3.2%
B 13
 
0.1%
, 12
 
0.1%
A 7
 
0.1%
) 5
 
< 0.1%
( 5
 
< 0.1%
/ 4
 
< 0.1%
F 3
 
< 0.1%
Other values (16) 25
 
0.2%
Hangul
ValueCountFrequency (%)
동 766
 
7.3%
구 752
 
7.2%
은 741
 
7.1%
평 740
 
7.1%
서 735
 
7.0%
시 727
 
6.9%
특 725
 
6.9%
별 725
 
6.9%
울 725
 
6.9%
호 476
 
4.5%
Other values (191) 3368
32.1%

도로명주소
Text

MISSING 

Distinct359
Distinct (%)85.1%
Missing318
Missing (%)43.0%
Memory size5.9 KiB
2024-04-30T04:48:05.849550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length45
Mean length30.973934
Min length21

Characters and Unicode

Total characters13071
Distinct characters214
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique313 ?
Unique (%)74.2%

Sample

1st row서울특별시 은평구 통일로 *** (대조동, 덕원빌딩 *,*층)
2nd row서울특별시 은평구 연서로**길 **, ***호 (대조동)
3rd row서울특별시 은평구 연서로 *** (대조동,*층)
4th row서울특별시 은평구 통일로 *** (대조동)
5th row서울특별시 은평구 서오릉로 *** (역촌동)
ValueCountFrequency (%)
서울특별시 422
16.6%
422
16.6%
은평구 419
16.5%
층 125
 
4.9%
호 125
 
4.9%
응암동 66
 
2.6%
불광동 55
 
2.2%
연서로 33
 
1.3%
대조동 32
 
1.3%
은평로 32
 
1.3%
Other values (243) 807
31.8%
2024-04-30T04:48:06.199958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 2162
16.5%
2118
16.2%
서 525
 
4.0%
은 506
 
3.9%
평 501
 
3.8%
동 473
 
3.6%
구 438
 
3.4%
, 430
 
3.3%
시 424
 
3.2%
특 422
 
3.2%
Other values (204) 5072
38.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7342
56.2%
Other Punctuation 2593
 
19.8%
Space Separator 2118
 
16.2%
Open Punctuation 420
 
3.2%
Close Punctuation 420
 
3.2%
Dash Punctuation 140
 
1.1%
Uppercase Letter 23
 
0.2%
Decimal Number 14
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 525
 
7.2%
은 506
 
6.9%
평 501
 
6.8%
동 473
 
6.4%
구 438
 
6.0%
시 424
 
5.8%
특 422
 
5.7%
별 422
 
5.7%
울 422
 
5.7%
로 420
 
5.7%
Other values (183) 2789
38.0%
Uppercase Letter
ValueCountFrequency (%)
B 9
39.1%
A 3
 
13.0%
T 3
 
13.0%
K 3
 
13.0%
S 2
 
8.7%
C 2
 
8.7%
D 1
 
4.3%
Decimal Number
ValueCountFrequency (%)
2 5
35.7%
3 4
28.6%
0 2
 
14.3%
1 1
 
7.1%
9 1
 
7.1%
7 1
 
7.1%
Other Punctuation
ValueCountFrequency (%)
* 2162
83.4%
, 430
 
16.6%
@ 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
2118
100.0%
Open Punctuation
ValueCountFrequency (%)
( 420
100.0%
Close Punctuation
ValueCountFrequency (%)
) 420
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 140
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7342
56.2%
Common 5706
43.7%
Latin 23
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 525
 
7.2%
은 506
 
6.9%
평 501
 
6.8%
동 473
 
6.4%
구 438
 
6.0%
시 424
 
5.8%
특 422
 
5.7%
별 422
 
5.7%
울 422
 
5.7%
로 420
 
5.7%
Other values (183) 2789
38.0%
Common
ValueCountFrequency (%)
* 2162
37.9%
2118
37.1%
, 430
 
7.5%
( 420
 
7.4%
) 420
 
7.4%
- 140
 
2.5%
2 5
 
0.1%
3 4
 
0.1%
0 2
 
< 0.1%
1 1
 
< 0.1%
Other values (4) 4
 
0.1%
Latin
ValueCountFrequency (%)
B 9
39.1%
A 3
 
13.0%
T 3
 
13.0%
K 3
 
13.0%
S 2
 
8.7%
C 2
 
8.7%
D 1
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7342
56.2%
ASCII 5729
43.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 2162
37.7%
2118
37.0%
, 430
 
7.5%
( 420
 
7.3%
) 420
 
7.3%
- 140
 
2.4%
B 9
 
0.2%
2 5
 
0.1%
3 4
 
0.1%
A 3
 
0.1%
Other values (11) 18
 
0.3%
Hangul
ValueCountFrequency (%)
서 525
 
7.2%
은 506
 
6.9%
평 501
 
6.8%
동 473
 
6.4%
구 438
 
6.0%
시 424
 
5.8%
특 422
 
5.7%
별 422
 
5.7%
울 422
 
5.7%
로 420
 
5.7%
Other values (183) 2789
38.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct149
Distinct (%)60.1%
Missing492
Missing (%)66.5%
Infinite0
Infinite (%)0.0%
Mean50758.5
Minimum3301
Maximum412799
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.6 KiB
2024-04-30T04:48:06.317055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3301
5-th percentile3329
Q13385
median3462
Q3122837
95-th percentile122932.65
Maximum412799
Range409498
Interquartile range (IQR)119452

Descriptive statistics

Standard deviation62467.811
Coefficient of variation (CV)1.2306867
Kurtosis2.5454905
Mean50758.5
Median Absolute Deviation (MAD)119.5
Skewness1.1169748
Sum12588108
Variance3.9022274 × 109
MonotonicityNot monotonic
2024-04-30T04:48:06.596682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3345 8
 
1.1%
3385 7
 
0.9%
122907 7
 
0.9%
3343 5
 
0.7%
3457 5
 
0.7%
3391 4
 
0.5%
3484 4
 
0.5%
122011 4
 
0.5%
122935 4
 
0.5%
122859 3
 
0.4%
Other values (139) 197
26.6%
(Missing) 492
66.5%
ValueCountFrequency (%)
3301 1
 
0.1%
3306 1
 
0.1%
3311 1
 
0.1%
3318 1
 
0.1%
3322 1
 
0.1%
3324 1
 
0.1%
3325 2
0.3%
3327 1
 
0.1%
3328 3
0.4%
3329 2
0.3%
ValueCountFrequency (%)
412799 1
 
0.1%
122957 2
0.3%
122952 2
0.3%
122940 1
 
0.1%
122937 2
0.3%
122935 4
0.5%
122933 1
 
0.1%
122932 1
 
0.1%
122923 2
0.3%
122915 1
 
0.1%

사업장명
Text

Distinct701
Distinct (%)94.7%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
2024-04-30T04:48:06.797534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length19
Mean length6.8486486
Min length2

Characters and Unicode

Total characters5068
Distinct characters506
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique667 ?
Unique (%)90.1%

Sample

1st row(주)더모아홈파티스
2nd row에스엘상사
3rd row서북상사
4th row서통
5th row풀무원
ValueCountFrequency (%)
주식회사 26
 
2.7%
인셀덤 11
 
1.2%
마임 6
 
0.6%
연신내지사 5
 
0.5%
주 5
 
0.5%
아모레 5
 
0.5%
은평 5
 
0.5%
에치와이 4
 
0.4%
유니베라 4
 
0.4%
오휘 4
 
0.4%
Other values (788) 875
92.1%
2024-04-30T04:48:07.115744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
210
 
4.1%
이 122
 
2.4%
사 119
 
2.3%
스 119
 
2.3%
리 104
 
2.1%
주 104
 
2.1%
) 98
 
1.9%
( 98
 
1.9%
아 80
 
1.6%
지 79
 
1.6%
Other values (496) 3935
77.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4342
85.7%
Space Separator 210
 
4.1%
Uppercase Letter 194
 
3.8%
Close Punctuation 98
 
1.9%
Open Punctuation 98
 
1.9%
Lowercase Letter 69
 
1.4%
Other Punctuation 31
 
0.6%
Decimal Number 19
 
0.4%
Other Symbol 3
 
0.1%
Dash Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 122
 
2.8%
사 119
 
2.7%
스 119
 
2.7%
리 104
 
2.4%
주 104
 
2.4%
아 80
 
1.8%
지 79
 
1.8%
점 77
 
1.8%
은 70
 
1.6%
대 69
 
1.6%
Other values (440) 3399
78.3%
Uppercase Letter
ValueCountFrequency (%)
S 24
 
12.4%
B 15
 
7.7%
J 13
 
6.7%
T 13
 
6.7%
A 11
 
5.7%
L 11
 
5.7%
N 11
 
5.7%
K 11
 
5.7%
M 11
 
5.7%
I 10
 
5.2%
Other values (12) 64
33.0%
Lowercase Letter
ValueCountFrequency (%)
c 10
14.5%
e 9
13.0%
o 8
11.6%
s 6
8.7%
a 6
8.7%
u 4
 
5.8%
t 4
 
5.8%
l 3
 
4.3%
r 3
 
4.3%
k 3
 
4.3%
Other values (8) 13
18.8%
Decimal Number
ValueCountFrequency (%)
0 7
36.8%
1 7
36.8%
2 2
 
10.5%
3 1
 
5.3%
4 1
 
5.3%
5 1
 
5.3%
Other Punctuation
ValueCountFrequency (%)
. 21
67.7%
& 6
 
19.4%
, 3
 
9.7%
/ 1
 
3.2%
Space Separator
ValueCountFrequency (%)
210
100.0%
Close Punctuation
ValueCountFrequency (%)
) 98
100.0%
Open Punctuation
ValueCountFrequency (%)
( 98
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4343
85.7%
Common 459
 
9.1%
Latin 264
 
5.2%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 122
 
2.8%
사 119
 
2.7%
스 119
 
2.7%
리 104
 
2.4%
주 104
 
2.4%
아 80
 
1.8%
지 79
 
1.8%
점 77
 
1.8%
은 70
 
1.6%
대 69
 
1.6%
Other values (439) 3400
78.3%
Latin
ValueCountFrequency (%)
S 24
 
9.1%
B 15
 
5.7%
J 13
 
4.9%
T 13
 
4.9%
A 11
 
4.2%
L 11
 
4.2%
N 11
 
4.2%
K 11
 
4.2%
M 11
 
4.2%
c 10
 
3.8%
Other values (31) 134
50.8%
Common
ValueCountFrequency (%)
210
45.8%
) 98
21.4%
( 98
21.4%
. 21
 
4.6%
0 7
 
1.5%
1 7
 
1.5%
& 6
 
1.3%
, 3
 
0.7%
- 3
 
0.7%
2 2
 
0.4%
Other values (4) 4
 
0.9%
Han
ValueCountFrequency (%)
睦 1
50.0%
旦 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4340
85.6%
ASCII 722
 
14.2%
None 3
 
0.1%
CJK 2
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
210
29.1%
) 98
13.6%
( 98
13.6%
S 24
 
3.3%
. 21
 
2.9%
B 15
 
2.1%
J 13
 
1.8%
T 13
 
1.8%
A 11
 
1.5%
L 11
 
1.5%
Other values (44) 208
28.8%
Hangul
ValueCountFrequency (%)
이 122
 
2.8%
사 119
 
2.7%
스 119
 
2.7%
리 104
 
2.4%
주 104
 
2.4%
아 80
 
1.8%
지 79
 
1.8%
점 77
 
1.8%
은 70
 
1.6%
대 69
 
1.6%
Other values (438) 3397
78.3%
None
ValueCountFrequency (%)
㈜ 3
100.0%
CJK
ValueCountFrequency (%)
睦 1
50.0%
旦 1
50.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

최종수정일자
Date

Distinct592
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
Minimum2007-07-24 16:13:00
Maximum2024-04-25 09:46:37
2024-04-30T04:48:07.264350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:48:07.414410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
I
627 
U
113 

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 627
84.7%
U 113
 
15.3%

Length

2024-04-30T04:48:07.534732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:48:07.640855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 627
84.7%
u 113
 
15.3%

데이터갱신일자
Date

Distinct113
Distinct (%)15.3%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:06:00
2024-04-30T04:48:07.749557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:48:07.875715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing740
Missing (%)100.0%
Memory size6.6 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct344
Distinct (%)81.5%
Missing318
Missing (%)43.0%
Infinite0
Infinite (%)0.0%
Mean192741.26
Minimum190042.8
Maximum194507.49
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.6 KiB
2024-04-30T04:48:07.999800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum190042.8
5-th percentile191260.56
Q1192315.12
median192797.24
Q3193208.43
95-th percentile193884.83
Maximum194507.49
Range4464.682
Interquartile range (IQR)893.31129

Descriptive statistics

Standard deviation766.68809
Coefficient of variation (CV)0.00397781
Kurtosis0.78736441
Mean192741.26
Median Absolute Deviation (MAD)437.92245
Skewness-0.6244051
Sum81336810
Variance587810.63
MonotonicityNot monotonic
2024-04-30T04:48:08.118766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
192491.321689009 6
 
0.8%
190803.834713024 6
 
0.8%
193047.227779984 6
 
0.8%
190454.651552293 5
 
0.7%
192610.318731196 5
 
0.7%
193818.672759638 4
 
0.5%
193780.021994218 4
 
0.5%
193061.855077428 3
 
0.4%
192919.205945137 3
 
0.4%
193394.38138013 3
 
0.4%
Other values (334) 377
50.9%
(Missing) 318
43.0%
ValueCountFrequency (%)
190042.803762943 1
 
0.1%
190454.651552293 5
0.7%
190508.444272436 1
 
0.1%
190700.087159743 1
 
0.1%
190803.834713024 6
0.8%
190846.825135398 1
 
0.1%
191100.037469089 2
 
0.3%
191157.444317911 1
 
0.1%
191188.866535719 1
 
0.1%
191223.226624594 2
 
0.3%
ValueCountFrequency (%)
194507.485754764 1
0.1%
194325.245141684 1
0.1%
194321.122613003 1
0.1%
194260.483039208 1
0.1%
194251.363562897 1
0.1%
194250.489095813 1
0.1%
194183.438617956 1
0.1%
194152.62309059 1
0.1%
194149.311652603 1
0.1%
194047.345565743 1
0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct344
Distinct (%)81.5%
Missing318
Missing (%)43.0%
Infinite0
Infinite (%)0.0%
Mean455900.8
Minimum449478.85
Maximum460763.55
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.6 KiB
2024-04-30T04:48:08.236370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum449478.85
5-th percentile453523.77
Q1454892.42
median455791.28
Q3457021.75
95-th percentile458030.79
Maximum460763.55
Range11284.699
Interquartile range (IQR)2129.3233

Descriptive statistics

Standard deviation1518.1299
Coefficient of variation (CV)0.0033299568
Kurtosis0.4464251
Mean455900.8
Median Absolute Deviation (MAD)1152.0978
Skewness0.077561879
Sum1.9239014 × 108
Variance2304718.5
MonotonicityNot monotonic
2024-04-30T04:48:08.347777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
454300.411398011 6
 
0.8%
453295.272029369 6
 
0.8%
456161.99070213 6
 
0.8%
453447.801645921 5
 
0.7%
454357.384904802 5
 
0.7%
456556.770342591 4
 
0.5%
455491.212588847 4
 
0.5%
457473.646821213 3
 
0.4%
455200.15452554 3
 
0.4%
456765.338643124 3
 
0.4%
Other values (334) 377
50.9%
(Missing) 318
43.0%
ValueCountFrequency (%)
449478.849222576 1
 
0.1%
452924.117735363 1
 
0.1%
452990.573492383 1
 
0.1%
453041.98829029 1
 
0.1%
453148.328882493 1
 
0.1%
453162.844280292 1
 
0.1%
453171.413906762 1
 
0.1%
453246.597175201 1
 
0.1%
453289.803633766 1
 
0.1%
453295.272029369 6
0.8%
ValueCountFrequency (%)
460763.547867283 1
0.1%
460734.648208213 1
0.1%
460496.428060069 1
0.1%
460116.135918587 1
0.1%
459903.972312 2
0.3%
459328.813094403 2
0.3%
459159.521813851 1
0.1%
459156.947874 1
0.1%
459077.958557619 1
0.1%
459010.335932209 1
0.1%

자산규모
Real number (ℝ)

MISSING  ZEROS 

Distinct37
Distinct (%)37.0%
Missing640
Missing (%)86.5%
Infinite0
Infinite (%)0.0%
Mean1.6091141 × 1010
Minimum0
Maximum1.5359792 × 1012
Zeros42
Zeros (%)5.7%
Negative0
Negative (%)0.0%
Memory size6.6 KiB
2024-04-30T04:48:08.465936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median20000000
Q31.2578199 × 108
95-th percentile1.5753037 × 109
Maximum1.5359792 × 1012
Range1.5359792 × 1012
Interquartile range (IQR)1.2578199 × 108

Descriptive statistics

Standard deviation1.5362803 × 1011
Coefficient of variation (CV)9.5473673
Kurtosis99.721246
Mean1.6091141 × 1010
Median Absolute Deviation (MAD)20000000
Skewness9.9797881
Sum1.6091141 × 1012
Variance2.3601572 × 1022
MonotonicityNot monotonic
2024-04-30T04:48:08.598038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
0 42
 
5.7%
50000000 9
 
1.2%
100000000 7
 
0.9%
10000000 4
 
0.5%
200000000 3
 
0.4%
20000000 2
 
0.3%
300000000 2
 
0.3%
180000000 2
 
0.3%
1535979241671 1
 
0.1%
436540650 1
 
0.1%
Other values (27) 27
 
3.6%
(Missing) 640
86.5%
ValueCountFrequency (%)
0 42
5.7%
5139116 1
 
0.1%
10000000 4
 
0.5%
14891288 1
 
0.1%
15000000 1
 
0.1%
20000000 2
 
0.3%
20279978 1
 
0.1%
50000000 9
 
1.2%
74727700 1
 
0.1%
75000000 1
 
0.1%
ValueCountFrequency (%)
1535979241671 1
0.1%
56508865238 1
0.1%
3457767322 1
0.1%
1674216102 1
0.1%
1598568771 1
0.1%
1574079242 1
0.1%
774150000 1
0.1%
665183692 1
0.1%
436540650 1
0.1%
429748511 1
0.1%

부채총액
Real number (ℝ)

MISSING  ZEROS 

Distinct32
Distinct (%)32.0%
Missing640
Missing (%)86.5%
Infinite0
Infinite (%)0.0%
Mean1.485171 × 1010
Minimum0
Maximum1.4522201 × 1012
Zeros68
Zeros (%)9.2%
Negative0
Negative (%)0.0%
Memory size6.6 KiB
2024-04-30T04:48:08.707434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q330000000
95-th percentile6.8555003 × 108
Maximum1.4522201 × 1012
Range1.4522201 × 1012
Interquartile range (IQR)30000000

Descriptive statistics

Standard deviation1.4520814 × 1011
Coefficient of variation (CV)9.7772002
Kurtosis99.944884
Mean1.485171 × 1010
Median Absolute Deviation (MAD)0
Skewness9.9959505
Sum1.485171 × 1012
Variance2.1085404 × 1022
MonotonicityNot monotonic
2024-04-30T04:48:08.818024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
0 68
 
9.2%
30000000 2
 
0.3%
266298513 1
 
0.1%
1450000 1
 
0.1%
100000000 1
 
0.1%
371752356 1
 
0.1%
1452220106803 1
 
0.1%
1226960951 1
 
0.1%
2086734286 1
 
0.1%
660001598 1
 
0.1%
Other values (22) 22
 
3.0%
(Missing) 640
86.5%
ValueCountFrequency (%)
0 68
9.2%
1392296 1
 
0.1%
1450000 1
 
0.1%
6213430 1
 
0.1%
8235518 1
 
0.1%
16166425 1
 
0.1%
20000000 1
 
0.1%
30000000 2
 
0.3%
34953902 1
 
0.1%
50000000 1
 
0.1%
ValueCountFrequency (%)
1452220106803 1
0.1%
23665950964 1
0.1%
2086734286 1
0.1%
1226960951 1
0.1%
1169853999 1
0.1%
660060351 1
0.1%
660001598 1
0.1%
497411884 1
0.1%
371752356 1
0.1%
315816215 1
0.1%

자본금
Real number (ℝ)

MISSING  ZEROS 

Distinct26
Distinct (%)25.7%
Missing639
Missing (%)86.4%
Infinite0
Infinite (%)0.0%
Mean7.375122 × 108
Minimum0
Maximum3.4732755 × 1010
Zeros38
Zeros (%)5.1%
Negative0
Negative (%)0.0%
Memory size6.6 KiB
2024-04-30T04:48:08.914469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median10000000
Q370000000
95-th percentile3 × 108
Maximum3.4732755 × 1010
Range3.4732755 × 1010
Interquartile range (IQR)70000000

Descriptive statistics

Standard deviation4.7252537 × 109
Coefficient of variation (CV)6.4070176
Kurtosis47.98443
Mean7.375122 × 108
Median Absolute Deviation (MAD)10000000
Skewness6.9957829
Sum7.4488732 × 1010
Variance2.2328022 × 1019
MonotonicityNot monotonic
2024-04-30T04:48:09.011603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
0 38
 
5.1%
50000000 17
 
2.3%
10000000 11
 
1.5%
100000000 5
 
0.7%
150000000 4
 
0.5%
300000000 3
 
0.4%
20000000 2
 
0.3%
200000000 2
 
0.3%
1000000 2
 
0.3%
43000000 1
 
0.1%
Other values (16) 16
 
2.2%
(Missing) 639
86.4%
ValueCountFrequency (%)
0 38
5.1%
1000000 2
 
0.3%
5000000 1
 
0.1%
10000000 11
 
1.5%
15000000 1
 
0.1%
15529334 1
 
0.1%
20000000 2
 
0.3%
35575324 1
 
0.1%
43000000 1
 
0.1%
50000000 17
2.3%
ValueCountFrequency (%)
34732754575 1
 
0.1%
32842914274 1
 
0.1%
1014155751 1
 
0.1%
800000000 1
 
0.1%
600000000 1
 
0.1%
300000000 3
0.4%
200000000 2
0.3%
180000000 1
 
0.1%
178848740 1
 
0.1%
167771808 1
 
0.1%

판매방식명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing740
Missing (%)100.0%
Memory size6.6 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)자산규모부채총액자본금판매방식명
03110000199631101112320000119960904<NA>3폐업3폐업처리20060427<NA><NA><NA>02 354 3100<NA><NA>서울특별시 은평구 응암동 *-*<NA><NA>(주)더모아홈파티스2008-02-21 00:00:00I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
13110000199631101112320000219960904<NA>3폐업3폐업처리20020808<NA><NA><NA>02 388 3232<NA><NA>서울특별시 은평구 응암동 ***-*<NA><NA>에스엘상사2008-02-21 00:00:00I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
23110000199631101112320000319960904<NA>3폐업3폐업처리19971024<NA><NA><NA>02 303 6777<NA><NA>서울특별시 은평구 증산동 ***-**<NA><NA>서북상사2008-02-21 00:00:00I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
33110000199631101112320000419960905<NA>3폐업3폐업처리19961220<NA><NA><NA>02 386 8666<NA><NA>서울특별시 은평구 갈현동 ***-*<NA><NA>서통2008-02-21 00:00:00I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
43110000199631101112320000519960405<NA>3폐업3폐업처리19971022<NA><NA><NA>02<NA><NA>서울특별시 은평구 불광동 ***-***<NA><NA>풀무원2008-02-21 00:00:00I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
53110000199631101112320000619960918<NA>3폐업3폐업처리20021025<NA><NA><NA>02 305 4112<NA><NA>서울특별시 은평구 응암동 ***-**<NA><NA>남양알로에2008-02-21 00:00:00I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
63110000199631101112320000719961030<NA>3폐업3폐업처리19991123<NA><NA><NA>02 733 1551<NA><NA>서울특별시 은평구 응암동 ***-*<NA><NA>(주)생그린은평대리점2008-02-21 00:00:00I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
73110000199631101112320000819961108<NA>3폐업3폐업처리19970718<NA><NA><NA>02 254 2190<NA><NA>서울특별시 은평구 녹번동 ***-<NA><NA>한샘화장품서부2008-02-21 00:00:00I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
83110000199631101112320000919961115<NA>4취소/말소/만료/정지/중지7직권말소<NA><NA><NA><NA>02 356 6667<NA><NA>서울특별시 은평구 대조동 ***-**<NA><NA>응암대우자동차판매회2008-07-18 17:34:30I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
93110000199631101112320001019961115<NA>4취소/말소/만료/정지/중지7직권말소<NA><NA><NA><NA>02 389 3055<NA><NA>서울특별시 은평구 대조동 ***-**<NA><NA>대우자동차녹번판매2008-07-18 17:30:38I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)자산규모부채총액자본금판매방식명
730311000020233110217232000062023-06-19<NA>1영업/정상1정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 대조동 ***-*서울특별시 은평구 연서로**길 **, *층 ***호 (대조동)3394윤선생영어교실 은평센터2023-06-19 13:33:02I2022-12-05 22:01:00.0<NA>192803.76269456640.174344<NA><NA><NA><NA>
731311000020233110217232000072023-08-02<NA>1영업/정상1정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 녹번동 **-** CS아르체서울특별시 은평구 서오릉로 **, ***동 ***호 (녹번동, CS아르체)3380모토드론2023-08-02 16:42:33I2022-12-08 00:04:00.0<NA>193350.250215455717.381681<NA><NA><NA><NA>
732311000020233110217232000082023-08-07<NA>1영업/정상1정상영업<NA><NA><NA><NA>02-389-9879<NA><NA>서울특별시 은평구 응암동 ***-** 래디앙서울특별시 은평구 은평로*길 *-*, 래디앙 ***호 (응암동)3454동그라미국제결혼정보2023-08-07 16:36:49I2022-12-08 00:09:00.0<NA>192971.391876455232.802308<NA><NA><NA><NA>
733311000020233110217232000092023-10-30<NA>1영업/정상1정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 불광동 ***-** 백마노블레스텔서울특별시 은평구 통일로 ***, 백마노블레스텔 제지층 제비***호 (불광동)3341현대연신내GTX판매대리점2023-10-30 12:46:19I2022-11-01 00:01:00.0<NA>192879.542954457734.188428<NA><NA><NA><NA>
734311000020243110217232000012024-01-03<NA>1영업/정상1정상영업<NA><NA><NA><NA>1577-3077<NA><NA>서울특별시 은평구 신사동 *-*서울특별시 은평구 은평로 **, *층 (신사동)3423아이티인프라2024-01-08 13:18:32I2023-11-30 23:00:00.0<NA>192166.132783455134.44071<NA><NA><NA><NA>
735311000020243110217232000022024-01-23<NA>1영업/정상1정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 갈현동 ***-**서울특별시 은평구 갈현로**길 *-* (갈현동)3324미라클 그룹 플랫폼2024-01-23 09:02:38I2023-11-30 22:05:00.0<NA>192381.208927457199.3744<NA><NA><NA><NA>
736311000020243110217232000032024-02-26<NA>1영업/정상1정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 대조동 ***-**서울특별시 은평구 통일로**길 **, *층 (대조동)3385(주)영웅정보통신2024-02-26 17:18:55I2023-12-01 22:08:00.0<NA>193155.065953457021.746216<NA><NA><NA><NA>
737311000020243110217232000042019-05-20<NA>1영업/정상1정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 갈현동 ***-**서울특별시 은평구 갈현로 ***, ***호 (갈현동)3328은평삼송녹즙2024-03-04 13:47:08I2023-12-03 00:06:00.0<NA>192744.452337458182.795406<NA><NA><NA><NA>
738311000020243110217232000052023-11-29<NA>1영업/정상1정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 응암동 ***-**서울특별시 은평구 응암로 ***, 지층 (응암동)3457한우리 멀티샵2024-03-29 11:28:50I2023-12-02 21:01:00.0<NA>192672.297612454601.653626<NA><NA><NA><NA>
739311000020243110217232000062024-04-03<NA>1영업/정상1정상영업<NA><NA><NA><NA>02-3141-9969<NA><NA>서울특별시 은평구 대조동 **-* KT은평지점서울특별시 은평구 통일로**길 **, KT은평지점 *층 (대조동)3391중앙인터넷2024-04-04 16:47:27I2023-12-04 00:06:00.0<NA>193394.38138456765.338643<NA><NA><NA><NA>