Overview

Dataset statistics

Number of variables29
Number of observations798
Missing cells10291
Missing cells (%)44.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory191.8 KiB
Average record size in memory246.2 B

Variable types

Categorical6
Numeric7
DateTime6
Unsupported5
Text5

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
Author중랑구
URLhttps://data.seoul.go.kr/dataList/OA-18758/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has 798 (100.0%) missing valuesMissing
폐업일자 has 359 (45.0%) missing valuesMissing
휴업시작일자 has 796 (99.7%) missing valuesMissing
휴업종료일자 has 796 (99.7%) missing valuesMissing
재개업일자 has 798 (100.0%) missing valuesMissing
전화번호 has 121 (15.2%) missing valuesMissing
소재지면적 has 798 (100.0%) missing valuesMissing
소재지우편번호 has 579 (72.6%) missing valuesMissing
지번주소 has 48 (6.0%) missing valuesMissing
도로명주소 has 343 (43.0%) missing valuesMissing
도로명우편번호 has 498 (62.4%) missing valuesMissing
업태구분명 has 798 (100.0%) missing valuesMissing
좌표정보(X) has 341 (42.7%) missing valuesMissing
좌표정보(Y) has 341 (42.7%) missing valuesMissing
자산규모 has 690 (86.5%) missing valuesMissing
부채총액 has 700 (87.7%) missing valuesMissing
자본금 has 689 (86.3%) missing valuesMissing
판매방식명 has 798 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 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 24 (3.0%) zerosZeros
부채총액 has 65 (8.1%) zerosZeros
자본금 has 18 (2.3%) zerosZeros

Reproduction

Analysis started2024-04-29 19:47:48.795511
Analysis finished2024-04-29 19:47:49.720220
Duration0.92 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
3060000
798 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3060000
2nd row3060000
3rd row3060000
4th row3060000
5th row3060000

Common Values

ValueCountFrequency (%)
3060000 798
100.0%

Length

2024-04-30T04:47:49.784424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:47:49.870635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3060000 798
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct798
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0005227 × 1018
Minimum0
Maximum3.002306 × 1018
Zeros1
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size7.1 KiB
2024-04-30T04:47:49.955077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.998306 × 1018
Q12.003306 × 1018
median2.008306 × 1018
Q32.015306 × 1018
95-th percentile2.021306 × 1018
Maximum3.002306 × 1018
Range3.002306 × 1018
Interquartile range (IQR)1.2000005 × 1016

Descriptive statistics

Standard deviation1.4584708 × 1017
Coefficient of variation (CV)0.072904484
Kurtosis175.26446
Mean2.0005227 × 1018
Median Absolute Deviation (MAD)6 × 1015
Skewness-12.382814
Sum-8.4496122 × 1018
Variance2.127137 × 1034
MonotonicityNot monotonic
2024-04-30T04:47:50.067059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1
 
0.1%
2012306009523200007 1
 
0.1%
2012306009523200009 1
 
0.1%
2012306009523200011 1
 
0.1%
2012306009523200012 1
 
0.1%
2012306009523200014 1
 
0.1%
2012306009523200015 1
 
0.1%
2012306009523200016 1
 
0.1%
2012306009523200018 1
 
0.1%
2012306009523200019 1
 
0.1%
Other values (788) 788
98.7%
ValueCountFrequency (%)
0 1
0.1%
3060095232000 1
0.1%
20073060095232000 1
0.1%
20073060095232046 1
0.1%
1996306009523200003 1
0.1%
1996306009523200006 1
0.1%
1996306009523200010 1
0.1%
1996306009523200012 1
0.1%
1996306009523200015 1
0.1%
1996306009523200017 1
0.1%
ValueCountFrequency (%)
3002306009523200181 1
0.1%
2024306020223200005 1
0.1%
2024306020223200004 1
0.1%
2024306020223200003 1
0.1%
2024306020223200002 1
0.1%
2024306020223200001 1
0.1%
2023306020223200016 1
0.1%
2023306020223200015 1
0.1%
2023306020223200014 1
0.1%
2023306020223200013 1
0.1%

인허가일자
Date

Distinct693
Distinct (%)86.8%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
Minimum1996-08-30 00:00:00
Maximum2024-04-11 00:00:00
2024-04-30T04:47:50.214971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:47:50.338846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing798
Missing (%)100.0%
Memory size7.1 KiB

영업상태코드
Categorical

Distinct5
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
3
440 
4
235 
1
117 
5
 
4
2
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 440
55.1%
4 235
29.4%
1 117
 
14.7%
5 4
 
0.5%
2 2
 
0.3%

Length

2024-04-30T04:47:50.434662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:47:50.517826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 440
55.1%
4 235
29.4%
1 117
 
14.7%
5 4
 
0.5%
2 2
 
0.3%

영업상태명
Categorical

Distinct5
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
폐업
440 
취소/말소/만료/정지/중지
235 
영업/정상
117 
제외/삭제/전출
 
4
휴업
 
2

Length

Max length14
Median length2
Mean length6.0037594
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 440
55.1%
취소/말소/만료/정지/중지 235
29.4%
영업/정상 117
 
14.7%
제외/삭제/전출 4
 
0.5%
휴업 2
 
0.3%

Length

2024-04-30T04:47:50.623064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:47:50.712569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 440
55.1%
취소/말소/만료/정지/중지 235
29.4%
영업/정상 117
 
14.7%
제외/삭제/전출 4
 
0.5%
휴업 2
 
0.3%

상세영업상태코드
Categorical

Distinct7
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
03
440 
07
235 
01
99 
BBBB
 
17
05
 
4
Other values (2)
 
3

Length

Max length4
Median length2
Mean length2.0426065
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row03
2nd row03
3rd row03
4th row03
5th row03

Common Values

ValueCountFrequency (%)
03 440
55.1%
07 235
29.4%
01 99
 
12.4%
BBBB 17
 
2.1%
05 4
 
0.5%
02 2
 
0.3%
06 1
 
0.1%

Length

2024-04-30T04:47:50.838790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:47:50.951753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
03 440
55.1%
07 235
29.4%
01 99
 
12.4%
bbbb 17
 
2.1%
05 4
 
0.5%
02 2
 
0.3%
06 1
 
0.1%

상세영업상태명
Categorical

Distinct7
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
폐업처리
440 
직권말소
235 
정상영업
99 
<NA>
 
17
타시군구이관
 
4
Other values (2)
 
3

Length

Max length6
Median length4
Mean length4.0125313
Min length4

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
폐업처리 440
55.1%
직권말소 235
29.4%
정상영업 99
 
12.4%
<NA> 17
 
2.1%
타시군구이관 4
 
0.5%
휴업처리 2
 
0.3%
타시군구전입 1
 
0.1%

Length

2024-04-30T04:47:51.069108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:47:51.187250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업처리 440
55.1%
직권말소 235
29.4%
정상영업 99
 
12.4%
na 17
 
2.1%
타시군구이관 4
 
0.5%
휴업처리 2
 
0.3%
타시군구전입 1
 
0.1%

폐업일자
Date

MISSING 

Distinct401
Distinct (%)91.3%
Missing359
Missing (%)45.0%
Memory size6.4 KiB
Minimum1998-09-16 00:00:00
Maximum2024-02-15 00:00:00
2024-04-30T04:47:51.312359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:47:51.437074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Date

MISSING 

Distinct2
Distinct (%)100.0%
Missing796
Missing (%)99.7%
Memory size6.4 KiB
Minimum2011-12-12 00:00:00
Maximum2023-12-05 00:00:00
2024-04-30T04:47:51.539483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:47:51.625451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)

휴업종료일자
Date

MISSING 

Distinct2
Distinct (%)100.0%
Missing796
Missing (%)99.7%
Memory size6.4 KiB
Minimum2013-12-31 00:00:00
Maximum2024-02-29 00:00:00
2024-04-30T04:47:51.704755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:47:51.781750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing798
Missing (%)100.0%
Memory size7.1 KiB

전화번호
Text

MISSING 

Distinct537
Distinct (%)79.3%
Missing121
Missing (%)15.2%
Memory size6.4 KiB
2024-04-30T04:47:51.935253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length11
Mean length9.4209749
Min length1

Characters and Unicode

Total characters6378
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

Unique507 ?
Unique (%)74.9%

Sample

1st row864-2168
2nd row864-2168
3rd row02
4th row02
5th row02 496 3312
ValueCountFrequency (%)
02 412
31.3%
35
 
2.7%
432 23
 
1.7%
436 17
 
1.3%
437 14
 
1.1%
435 14
 
1.1%
438 14
 
1.1%
439 13
 
1.0%
495 12
 
0.9%
496 12
 
0.9%
Other values (619) 752
57.1%
2024-04-30T04:47:52.219512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1041
16.3%
2 1027
16.1%
656
10.3%
4 623
9.8%
3 489
7.7%
9 472
7.4%
- 370
 
5.8%
7 357
 
5.6%
6 343
 
5.4%
8 334
 
5.2%
Other values (4) 666
10.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5315
83.3%
Space Separator 656
 
10.3%
Dash Punctuation 370
 
5.8%
Other Punctuation 36
 
0.6%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1041
19.6%
2 1027
19.3%
4 623
11.7%
3 489
9.2%
9 472
8.9%
7 357
 
6.7%
6 343
 
6.5%
8 334
 
6.3%
1 316
 
5.9%
5 313
 
5.9%
Space Separator
ValueCountFrequency (%)
656
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 370
100.0%
Other Punctuation
ValueCountFrequency (%)
. 36
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6378
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1041
16.3%
2 1027
16.1%
656
10.3%
4 623
9.8%
3 489
7.7%
9 472
7.4%
- 370
 
5.8%
7 357
 
5.6%
6 343
 
5.4%
8 334
 
5.2%
Other values (4) 666
10.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6378
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1041
16.3%
2 1027
16.1%
656
10.3%
4 623
9.8%
3 489
7.7%
9 472
7.4%
- 370
 
5.8%
7 357
 
5.6%
6 343
 
5.4%
8 334
 
5.2%
Other values (4) 666
10.4%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing798
Missing (%)100.0%
Memory size7.1 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct59
Distinct (%)26.9%
Missing579
Missing (%)72.6%
Infinite0
Infinite (%)0.0%
Mean131525.54
Minimum131120
Maximum157220
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.1 KiB
2024-04-30T04:47:52.342386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum131120
5-th percentile131120
Q1131141.5
median131220
Q3131819
95-th percentile131877
Maximum157220
Range26100
Interquartile range (IQR)677.5

Descriptive statistics

Standard deviation1772.2809
Coefficient of variation (CV)0.013474804
Kurtosis205.27666
Mean131525.54
Median Absolute Deviation (MAD)80
Skewness14.104374
Sum28804093
Variance3140979.4
MonotonicityNot monotonic
2024-04-30T04:47:52.472818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
131200 31
 
3.9%
131140 26
 
3.3%
131230 23
 
2.9%
131220 21
 
2.6%
131120 19
 
2.4%
131881 7
 
0.9%
131875 5
 
0.6%
131130 5
 
0.6%
131221 4
 
0.5%
131820 4
 
0.5%
Other values (49) 74
 
9.3%
(Missing) 579
72.6%
ValueCountFrequency (%)
131120 19
2.4%
131121 2
 
0.3%
131122 1
 
0.1%
131130 5
 
0.6%
131140 26
3.3%
131141 2
 
0.3%
131142 1
 
0.1%
131200 31
3.9%
131201 2
 
0.3%
131202 2
 
0.3%
ValueCountFrequency (%)
157220 1
 
0.1%
131881 7
0.9%
131880 1
 
0.1%
131878 1
 
0.1%
131877 2
 
0.3%
131875 5
0.6%
131873 1
 
0.1%
131872 1
 
0.1%
131869 2
 
0.3%
131866 1
 
0.1%

지번주소
Text

MISSING 

Distinct414
Distinct (%)55.2%
Missing48
Missing (%)6.0%
Memory size6.4 KiB
2024-04-30T04:47:52.629263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length39
Mean length25.014667
Min length3

Characters and Unicode

Total characters18761
Distinct characters217
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 (%)41.7%

Sample

1st row서울특별시 중랑구 망우동 ***번지 *호
2nd row서울특별시 중랑구 망우동 ***번지 *호
3rd row서울특별시 중랑구 상봉동 **-*
4th row서울특별시 중랑구 상봉동 ***-**
5th row서울특별시 중랑구 중화동 ***-*
ValueCountFrequency (%)
서울특별시 749
18.9%
중랑구 748
18.9%
520
13.1%
호 400
10.1%
번지 330
8.3%
면목동 198
 
5.0%
층 146
 
3.7%
상봉동 124
 
3.1%
중화동 122
 
3.1%
묵동 107
 
2.7%
Other values (198) 523
13.2%
2024-04-30T04:47:52.888466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 4202
22.4%
3504
18.7%
중 880
 
4.7%
동 817
 
4.4%
시 758
 
4.0%
서 754
 
4.0%
울 752
 
4.0%
별 749
 
4.0%
구 749
 
4.0%
랑 749
 
4.0%
Other values (207) 4847
25.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10496
55.9%
Other Punctuation 4214
22.5%
Space Separator 3504
 
18.7%
Dash Punctuation 504
 
2.7%
Uppercase Letter 30
 
0.2%
Lowercase Letter 8
 
< 0.1%
Close Punctuation 2
 
< 0.1%
Open Punctuation 2
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
중 880
 
8.4%
동 817
 
7.8%
시 758
 
7.2%
서 754
 
7.2%
울 752
 
7.2%
별 749
 
7.1%
구 749
 
7.1%
랑 749
 
7.1%
특 749
 
7.1%
호 418
 
4.0%
Other values (180) 3121
29.7%
Uppercase Letter
ValueCountFrequency (%)
B 10
33.3%
A 5
16.7%
K 3
 
10.0%
E 3
 
10.0%
T 2
 
6.7%
V 1
 
3.3%
R 1
 
3.3%
W 1
 
3.3%
O 1
 
3.3%
G 1
 
3.3%
Other values (2) 2
 
6.7%
Lowercase Letter
ValueCountFrequency (%)
e 2
25.0%
r 1
12.5%
b 1
12.5%
t 1
12.5%
c 1
12.5%
n 1
12.5%
k 1
12.5%
Other Punctuation
ValueCountFrequency (%)
* 4202
99.7%
, 9
 
0.2%
. 3
 
0.1%
Space Separator
ValueCountFrequency (%)
3504
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 504
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10496
55.9%
Common 8227
43.9%
Latin 38
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
중 880
 
8.4%
동 817
 
7.8%
시 758
 
7.2%
서 754
 
7.2%
울 752
 
7.2%
별 749
 
7.1%
구 749
 
7.1%
랑 749
 
7.1%
특 749
 
7.1%
호 418
 
4.0%
Other values (180) 3121
29.7%
Latin
ValueCountFrequency (%)
B 10
26.3%
A 5
13.2%
K 3
 
7.9%
E 3
 
7.9%
T 2
 
5.3%
e 2
 
5.3%
r 1
 
2.6%
b 1
 
2.6%
V 1
 
2.6%
t 1
 
2.6%
Other values (9) 9
23.7%
Common
ValueCountFrequency (%)
* 4202
51.1%
3504
42.6%
- 504
 
6.1%
, 9
 
0.1%
. 3
 
< 0.1%
) 2
 
< 0.1%
( 2
 
< 0.1%
~ 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10496
55.9%
ASCII 8265
44.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 4202
50.8%
3504
42.4%
- 504
 
6.1%
B 10
 
0.1%
, 9
 
0.1%
A 5
 
0.1%
. 3
 
< 0.1%
K 3
 
< 0.1%
E 3
 
< 0.1%
T 2
 
< 0.1%
Other values (17) 20
 
0.2%
Hangul
ValueCountFrequency (%)
중 880
 
8.4%
동 817
 
7.8%
시 758
 
7.2%
서 754
 
7.2%
울 752
 
7.2%
별 749
 
7.1%
구 749
 
7.1%
랑 749
 
7.1%
특 749
 
7.1%
호 418
 
4.0%
Other values (180) 3121
29.7%

도로명주소
Text

MISSING 

Distinct356
Distinct (%)78.2%
Missing343
Missing (%)43.0%
Memory size6.4 KiB
2024-04-30T04:47:53.096292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length46
Mean length31.492308
Min length20

Characters and Unicode

Total characters14329
Distinct characters231
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

Unique302 ?
Unique (%)66.4%

Sample

1st row서울특별시 중랑구 망우로 *** (망우동)
2nd row서울특별시 중랑구 망우로 *** (망우동)
3rd row서울특별시 중랑구 용마산로 ***, 스카이휘트니스 (면목동)
4th row서울특별시 중랑구 동일로 *** (중화동,논밭빌딩 *층)
5th row서울특별시 중랑구 동일로***길 **-* (중화동)
ValueCountFrequency (%)
461
16.5%
서울특별시 455
16.3%
중랑구 453
16.2%
호 148
 
5.3%
층 145
 
5.2%
면목동 116
 
4.2%
중화동 62
 
2.2%
상봉동 60
 
2.2%
묵동 56
 
2.0%
동일로 53
 
1.9%
Other values (248) 779
27.9%
2024-04-30T04:47:53.462703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 2384
16.6%
2334
16.3%
동 626
 
4.4%
중 587
 
4.1%
랑 492
 
3.4%
시 467
 
3.3%
서 457
 
3.2%
) 457
 
3.2%
( 457
 
3.2%
울 457
 
3.2%
Other values (221) 5611
39.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8145
56.8%
Other Punctuation 2832
 
19.8%
Space Separator 2334
 
16.3%
Close Punctuation 457
 
3.2%
Open Punctuation 457
 
3.2%
Dash Punctuation 61
 
0.4%
Uppercase Letter 35
 
0.2%
Lowercase Letter 7
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 626
 
7.7%
중 587
 
7.2%
랑 492
 
6.0%
시 467
 
5.7%
서 457
 
5.6%
울 457
 
5.6%
별 455
 
5.6%
특 455
 
5.6%
구 454
 
5.6%
로 454
 
5.6%
Other values (192) 3241
39.8%
Uppercase Letter
ValueCountFrequency (%)
B 10
28.6%
A 6
17.1%
E 4
 
11.4%
T 3
 
8.6%
K 3
 
8.6%
L 1
 
2.9%
R 1
 
2.9%
C 1
 
2.9%
V 1
 
2.9%
S 1
 
2.9%
Other values (4) 4
 
11.4%
Lowercase Letter
ValueCountFrequency (%)
e 2
28.6%
r 1
14.3%
t 1
14.3%
n 1
14.3%
c 1
14.3%
b 1
14.3%
Other Punctuation
ValueCountFrequency (%)
* 2384
84.2%
, 445
 
15.7%
. 2
 
0.1%
@ 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
2334
100.0%
Close Punctuation
ValueCountFrequency (%)
) 457
100.0%
Open Punctuation
ValueCountFrequency (%)
( 457
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 61
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8145
56.8%
Common 6142
42.9%
Latin 42
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 626
 
7.7%
중 587
 
7.2%
랑 492
 
6.0%
시 467
 
5.7%
서 457
 
5.6%
울 457
 
5.6%
별 455
 
5.6%
특 455
 
5.6%
구 454
 
5.6%
로 454
 
5.6%
Other values (192) 3241
39.8%
Latin
ValueCountFrequency (%)
B 10
23.8%
A 6
14.3%
E 4
 
9.5%
T 3
 
7.1%
K 3
 
7.1%
e 2
 
4.8%
L 1
 
2.4%
R 1
 
2.4%
C 1
 
2.4%
r 1
 
2.4%
Other values (10) 10
23.8%
Common
ValueCountFrequency (%)
* 2384
38.8%
2334
38.0%
) 457
 
7.4%
( 457
 
7.4%
, 445
 
7.2%
- 61
 
1.0%
. 2
 
< 0.1%
@ 1
 
< 0.1%
~ 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8145
56.8%
ASCII 6184
43.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 2384
38.6%
2334
37.7%
) 457
 
7.4%
( 457
 
7.4%
, 445
 
7.2%
- 61
 
1.0%
B 10
 
0.2%
A 6
 
0.1%
E 4
 
0.1%
T 3
 
< 0.1%
Other values (19) 23
 
0.4%
Hangul
ValueCountFrequency (%)
동 626
 
7.7%
중 587
 
7.2%
랑 492
 
6.0%
시 467
 
5.7%
서 457
 
5.6%
울 457
 
5.6%
별 455
 
5.6%
특 455
 
5.6%
구 454
 
5.6%
로 454
 
5.6%
Other values (192) 3241
39.8%

도로명우편번호
Text

MISSING 

Distinct168
Distinct (%)56.0%
Missing498
Missing (%)62.4%
Memory size6.4 KiB
2024-04-30T04:47:53.778342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.3633333
Min length5

Characters and Unicode

Total characters1609
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

Unique99 ?
Unique (%)33.0%

Sample

1st row02250
2nd row02035
3rd row131222
4th row131858
5th row131804
ValueCountFrequency (%)
02033 8
 
2.7%
131202 8
 
2.7%
02014 7
 
2.3%
131141 5
 
1.7%
02094 5
 
1.7%
131881 5
 
1.7%
131230 5
 
1.7%
131860 4
 
1.3%
131222 4
 
1.3%
02046 4
 
1.3%
Other values (158) 245
81.7%
2024-04-30T04:47:54.209533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 361
22.4%
0 352
21.9%
2 317
19.7%
3 179
11.1%
8 116
 
7.2%
4 77
 
4.8%
5 66
 
4.1%
7 50
 
3.1%
6 47
 
2.9%
9 43
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1608
99.9%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 361
22.5%
0 352
21.9%
2 317
19.7%
3 179
11.1%
8 116
 
7.2%
4 77
 
4.8%
5 66
 
4.1%
7 50
 
3.1%
6 47
 
2.9%
9 43
 
2.7%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1609
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 361
22.4%
0 352
21.9%
2 317
19.7%
3 179
11.1%
8 116
 
7.2%
4 77
 
4.8%
5 66
 
4.1%
7 50
 
3.1%
6 47
 
2.9%
9 43
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1609
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 361
22.4%
0 352
21.9%
2 317
19.7%
3 179
11.1%
8 116
 
7.2%
4 77
 
4.8%
5 66
 
4.1%
7 50
 
3.1%
6 47
 
2.9%
9 43
 
2.7%

사업장명
Text

Distinct734
Distinct (%)92.0%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
2024-04-30T04:47:54.451293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length19
Mean length6.6967419
Min length1

Characters and Unicode

Total characters5344
Distinct characters463
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

Unique690 ?
Unique (%)86.5%

Sample

1st row코비오스
2nd row코비오스
3rd row청담화장품
4th row계몽사 동대문 대리점
5th row알로에마임
ValueCountFrequency (%)
주식회사 36
 
3.5%
마임 9
 
0.9%
중랑지사 7
 
0.7%
김정문알로에 7
 
0.7%
플리안나 5
 
0.5%
인셀덤 5
 
0.5%
윤선생영어교실 5
 
0.5%
유니베라 5
 
0.5%
대리점 5
 
0.5%
주 4
 
0.4%
Other values (833) 939
91.4%
2024-04-30T04:47:54.972291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
229
 
4.3%
이 156
 
2.9%
스 127
 
2.4%
사 126
 
2.4%
리 103
 
1.9%
주 99
 
1.9%
대 92
 
1.7%
) 90
 
1.7%
( 89
 
1.7%
아 80
 
1.5%
Other values (453) 4153
77.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4666
87.3%
Space Separator 229
 
4.3%
Uppercase Letter 136
 
2.5%
Lowercase Letter 106
 
2.0%
Close Punctuation 90
 
1.7%
Open Punctuation 89
 
1.7%
Other Punctuation 20
 
0.4%
Decimal Number 7
 
0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 156
 
3.3%
스 127
 
2.7%
사 126
 
2.7%
리 103
 
2.2%
주 99
 
2.1%
대 92
 
2.0%
아 80
 
1.7%
에 79
 
1.7%
점 75
 
1.6%
지 75
 
1.6%
Other values (398) 3654
78.3%
Uppercase Letter
ValueCountFrequency (%)
S 20
14.7%
H 11
 
8.1%
C 10
 
7.4%
T 9
 
6.6%
K 9
 
6.6%
L 9
 
6.6%
M 8
 
5.9%
E 8
 
5.9%
O 6
 
4.4%
G 6
 
4.4%
Other values (12) 40
29.4%
Lowercase Letter
ValueCountFrequency (%)
e 12
11.3%
n 10
 
9.4%
i 9
 
8.5%
c 8
 
7.5%
o 7
 
6.6%
a 7
 
6.6%
l 6
 
5.7%
h 6
 
5.7%
m 6
 
5.7%
s 6
 
5.7%
Other values (11) 29
27.4%
Other Punctuation
ValueCountFrequency (%)
. 11
55.0%
& 6
30.0%
, 1
 
5.0%
＆ 1
 
5.0%
@ 1
 
5.0%
Decimal Number
ValueCountFrequency (%)
8 4
57.1%
2 2
28.6%
1 1
 
14.3%
Space Separator
ValueCountFrequency (%)
229
100.0%
Close Punctuation
ValueCountFrequency (%)
) 90
100.0%
Open Punctuation
ValueCountFrequency (%)
( 89
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4666
87.3%
Common 436
 
8.2%
Latin 242
 
4.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 156
 
3.3%
스 127
 
2.7%
사 126
 
2.7%
리 103
 
2.2%
주 99
 
2.1%
대 92
 
2.0%
아 80
 
1.7%
에 79
 
1.7%
점 75
 
1.6%
지 75
 
1.6%
Other values (398) 3654
78.3%
Latin
ValueCountFrequency (%)
S 20
 
8.3%
e 12
 
5.0%
H 11
 
4.5%
C 10
 
4.1%
n 10
 
4.1%
i 9
 
3.7%
T 9
 
3.7%
K 9
 
3.7%
L 9
 
3.7%
M 8
 
3.3%
Other values (33) 135
55.8%
Common
ValueCountFrequency (%)
229
52.5%
) 90
 
20.6%
( 89
 
20.4%
. 11
 
2.5%
& 6
 
1.4%
8 4
 
0.9%
2 2
 
0.5%
1 1
 
0.2%
, 1
 
0.2%
＆ 1
 
0.2%
Other values (2) 2
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4666
87.3%
ASCII 677
 
12.7%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
229
33.8%
) 90
 
13.3%
( 89
 
13.1%
S 20
 
3.0%
e 12
 
1.8%
. 11
 
1.6%
H 11
 
1.6%
C 10
 
1.5%
n 10
 
1.5%
i 9
 
1.3%
Other values (44) 186
27.5%
Hangul
ValueCountFrequency (%)
이 156
 
3.3%
스 127
 
2.7%
사 126
 
2.7%
리 103
 
2.2%
주 99
 
2.1%
대 92
 
2.0%
아 80
 
1.7%
에 79
 
1.7%
점 75
 
1.6%
지 75
 
1.6%
Other values (398) 3654
78.3%
None
ValueCountFrequency (%)
＆ 1
100.0%

최종수정일자
Date

Distinct620
Distinct (%)77.7%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
Minimum2008-01-22 10:06:44
Maximum2024-04-16 14:56:38
2024-04-30T04:47:55.108512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:47:55.244101image/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 size6.4 KiB
I
644 
U
154 

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 644
80.7%
U 154
 
19.3%

Length

2024-04-30T04:47:55.344243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:47:55.431617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 644
80.7%
u 154
 
19.3%

데이터갱신일자
Date

Distinct149
Distinct (%)18.7%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-03 23:08:00
2024-04-30T04:47:55.530287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:47:55.659688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing798
Missing (%)100.0%
Memory size7.1 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct331
Distinct (%)72.4%
Missing341
Missing (%)42.7%
Infinite0
Infinite (%)0.0%
Mean207458.73
Minimum183623.01
Maximum209856.12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.1 KiB
2024-04-30T04:47:55.784671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum183623.01
5-th percentile206523.38
Q1206874.09
median207430.76
Q3207923.75
95-th percentile208842.71
Maximum209856.12
Range26233.107
Interquartile range (IQR)1049.6556

Descriptive statistics

Standard deviation1346.1088
Coefficient of variation (CV)0.0064885617
Kurtosis215.70436
Mean207458.73
Median Absolute Deviation (MAD)551.45471
Skewness-12.077203
Sum94808639
Variance1812008.8
MonotonicityNot monotonic
2024-04-30T04:47:55.899263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
206788.048632489 11
 
1.4%
207870.869743101 9
 
1.1%
208828.866224487 6
 
0.8%
208842.713556665 5
 
0.6%
207660.883688474 5
 
0.6%
206490.785290292 5
 
0.6%
207785.163886948 4
 
0.5%
208389.527798903 4
 
0.5%
206967.40241226 4
 
0.5%
206492.087474895 4
 
0.5%
Other values (321) 400
50.1%
(Missing) 341
42.7%
ValueCountFrequency (%)
183623.008949046 1
0.1%
206285.912434623 1
0.1%
206299.761529046 1
0.1%
206315.621494545 1
0.1%
206321.919332707 1
0.1%
206328.066671402 1
0.1%
206345.47354923 1
0.1%
206411.119094 1
0.1%
206414.354398066 1
0.1%
206419.157895196 1
0.1%
ValueCountFrequency (%)
209856.1161416 1
0.1%
209797.760188391 1
0.1%
209478.962361621 1
0.1%
209474.190548079 1
0.1%
209471.879560652 1
0.1%
209374.185193593 1
0.1%
209328.918216494 1
0.1%
209316.017075885 1
0.1%
209253.348678731 1
0.1%
209166.977424427 1
0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct331
Distinct (%)72.4%
Missing341
Missing (%)42.7%
Infinite0
Infinite (%)0.0%
Mean454960.91
Minimum452112.15
Maximum457702.63
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.1 KiB
2024-04-30T04:47:56.032426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum452112.15
5-th percentile452749.16
Q1454242.29
median455063.12
Q3455748.85
95-th percentile456950.76
Maximum457702.63
Range5590.4822
Interquartile range (IQR)1506.5551

Descriptive statistics

Standard deviation1203.0264
Coefficient of variation (CV)0.0026442413
Kurtosis-0.44700652
Mean454960.91
Median Absolute Deviation (MAD)774.17456
Skewness-0.22738103
Sum2.0791713 × 108
Variance1447272.6
MonotonicityNot monotonic
2024-04-30T04:47:56.148492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
455850.935638819 11
 
1.4%
453178.839844934 9
 
1.1%
455325.44427125 6
 
0.8%
455205.504339797 5
 
0.6%
454911.110252938 5
 
0.6%
456373.540744485 5
 
0.6%
454948.667169479 4
 
0.5%
455833.727494603 4
 
0.5%
455094.095344492 4
 
0.5%
454508.605124002 4
 
0.5%
Other values (321) 400
50.1%
(Missing) 341
42.7%
ValueCountFrequency (%)
452112.148887923 1
 
0.1%
452146.66493964 1
 
0.1%
452290.247747455 3
0.4%
452296.055921315 2
0.3%
452413.605073678 2
0.3%
452449.038404575 1
 
0.1%
452520.014426715 1
 
0.1%
452547.055071015 1
 
0.1%
452547.690371047 1
 
0.1%
452559.069780901 1
 
0.1%
ValueCountFrequency (%)
457702.631123 1
 
0.1%
457283.215342184 1
 
0.1%
457237.186183891 1
 
0.1%
457236.317706626 1
 
0.1%
457210.837407128 1
 
0.1%
457183.637796144 1
 
0.1%
457166.194413166 1
 
0.1%
457142.28182299 1
 
0.1%
457113.638411288 4
0.5%
457101.541834183 1
 
0.1%

자산규모
Real number (ℝ)

MISSING  ZEROS 

Distinct46
Distinct (%)42.6%
Missing690
Missing (%)86.5%
Infinite0
Infinite (%)0.0%
Mean5.791052 × 1010
Minimum0
Maximum1.8891573 × 1012
Zeros24
Zeros (%)3.0%
Negative0
Negative (%)0.0%
Memory size7.1 KiB
2024-04-30T04:47:56.263823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13000000
median30000000
Q31.125 × 108
95-th percentile1.3488985 × 1011
Maximum1.8891573 × 1012
Range1.8891573 × 1012
Interquartile range (IQR)1.095 × 108

Descriptive statistics

Standard deviation2.725217 × 1011
Coefficient of variation (CV)4.70591
Kurtosis27.354088
Mean5.791052 × 1010
Median Absolute Deviation (MAD)30000000
Skewness5.1850506
Sum6.2543362 × 1012
Variance7.4268076 × 1022
MonotonicityNot monotonic
2024-04-30T04:47:56.373579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
0 24
 
3.0%
50000000 16
 
2.0%
30000000 7
 
0.9%
10000000 7
 
0.9%
20000000 5
 
0.6%
5000000 2
 
0.3%
300000000 2
 
0.3%
36018248000 2
 
0.3%
3000000 2
 
0.3%
15000000 2
 
0.3%
Other values (36) 39
 
4.9%
(Missing) 690
86.5%
ValueCountFrequency (%)
0 24
3.0%
9 1
 
0.1%
500 1
 
0.1%
3000000 2
 
0.3%
4000000 2
 
0.3%
5000000 2
 
0.3%
7500000 1
 
0.1%
10000000 7
 
0.9%
11000000 1
 
0.1%
15000000 2
 
0.3%
ValueCountFrequency (%)
1889157325957 1
0.1%
1283500000000 1
0.1%
1239159593420 1
0.1%
1168783970000 1
0.1%
391100000000 1
0.1%
188128408618 1
0.1%
36018248000 2
0.3%
6023669470 1
0.1%
4997987575 1
0.1%
1500000000 1
0.1%

부채총액
Real number (ℝ)

MISSING  ZEROS 

Distinct30
Distinct (%)30.6%
Missing700
Missing (%)87.7%
Infinite0
Infinite (%)0.0%
Mean5.2018575 × 1010
Minimum0
Maximum1.596454 × 1012
Zeros65
Zeros (%)8.1%
Negative0
Negative (%)0.0%
Memory size7.1 KiB
2024-04-30T04:47:56.495575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q340890360
95-th percentile1.3278959 × 1011
Maximum1.596454 × 1012
Range1.596454 × 1012
Interquartile range (IQR)40890360

Descriptive statistics

Standard deviation2.4025644 × 1011
Coefficient of variation (CV)4.6186663
Kurtosis25.95279
Mean5.2018575 × 1010
Median Absolute Deviation (MAD)0
Skewness5.0539236
Sum5.0978204 × 1012
Variance5.7723157 × 1022
MonotonicityNot monotonic
2024-04-30T04:47:56.635190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
0 65
 
8.1%
50000000 3
 
0.4%
10000000 3
 
0.4%
724788336214 1
 
0.1%
518392768 1
 
0.1%
223440510 1
 
0.1%
250186289 1
 
0.1%
52483 1
 
0.1%
369400000000 1
 
0.1%
1184400000000 1
 
0.1%
Other values (20) 20
 
2.5%
(Missing) 700
87.7%
ValueCountFrequency (%)
0 65
8.1%
9 1
 
0.1%
52483 1
 
0.1%
5198652 1
 
0.1%
10000000 3
 
0.4%
20000000 1
 
0.1%
30000000 1
 
0.1%
44520480 1
 
0.1%
50000000 3
 
0.4%
90561835 1
 
0.1%
ValueCountFrequency (%)
1596454019362 1
0.1%
1184400000000 1
0.1%
1114760940000 1
0.1%
724788336214 1
0.1%
369400000000 1
0.1%
91034806693 1
0.1%
9428833432 1
0.1%
3845066238 1
0.1%
636905218 1
0.1%
518392768 1
0.1%

자본금
Real number (ℝ)

MISSING  ZEROS 

Distinct40
Distinct (%)36.7%
Missing689
Missing (%)86.3%
Infinite0
Infinite (%)0.0%
Mean5.6199403 × 109
Minimum-30010078
Maximum2.9270331 × 1011
Zeros18
Zeros (%)2.3%
Negative1
Negative (%)0.1%
Memory size7.1 KiB
2024-04-30T04:47:56.756119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-30010078
5-th percentile0
Q14000000
median30000000
Q380000000
95-th percentile3.1963039 × 1010
Maximum2.9270331 × 1011
Range2.9273332 × 1011
Interquartile range (IQR)76000000

Descriptive statistics

Standard deviation3.0433979 × 1010
Coefficient of variation (CV)5.4153563
Kurtosis75.381947
Mean5.6199403 × 109
Median Absolute Deviation (MAD)27000000
Skewness8.2550067
Sum6.1257349 × 1011
Variance9.2622707 × 1020
MonotonicityNot monotonic
2024-04-30T04:47:56.888328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
50000000 19
 
2.4%
0 18
 
2.3%
10000000 11
 
1.4%
30000000 7
 
0.9%
100000000 5
 
0.6%
20000000 5
 
0.6%
36018248000 3
 
0.4%
1000000 3
 
0.4%
4000000 2
 
0.3%
300000000 2
 
0.3%
Other values (30) 34
 
4.3%
(Missing) 689
86.3%
ValueCountFrequency (%)
-30010078 1
 
0.1%
0 18
2.3%
9 1
 
0.1%
200 1
 
0.1%
1000000 3
 
0.4%
2000000 1
 
0.1%
3000000 2
 
0.3%
4000000 2
 
0.3%
4762073 1
 
0.1%
5000000 2
 
0.3%
ValueCountFrequency (%)
292703306595 1
 
0.1%
99100000000 1
 
0.1%
54023000000 1
 
0.1%
36018248000 3
0.4%
25880225000 1
 
0.1%
21700000000 1
 
0.1%
4997935092 1
 
0.1%
1500000000 1
 
0.1%
500000000 1
 
0.1%
300000000 2
0.3%

판매방식명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing798
Missing (%)100.0%
Memory size7.1 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)자산규모부채총액자본금판매방식명
03060000020070620<NA>3폐업03폐업처리20071023<NA><NA><NA>864-2168<NA>131230서울특별시 중랑구 망우동 ***번지 *호서울특별시 중랑구 망우로 *** (망우동)<NA>코비오스2008-06-17 10:15:46I2018-08-31 23:59:59.0<NA>208828.866224455325.444271<NA><NA><NA><NA>
13060000306009523200020070620<NA>3폐업03폐업처리20071023<NA><NA><NA>864-2168<NA>131230서울특별시 중랑구 망우동 ***번지 *호서울특별시 중랑구 망우로 *** (망우동)<NA>코비오스2008-06-18 18:00:48I2018-08-31 23:59:59.0<NA>208828.866224455325.444271<NA><NA><NA><NA>
23060000199630600952320000319960830<NA>3폐업03폐업처리19981110<NA><NA><NA>02<NA><NA>서울특별시 중랑구 상봉동 **-*<NA><NA>청담화장품2008-02-21 00:00:00I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
33060000199630600952320000619961015<NA>3폐업03폐업처리20001020<NA><NA><NA>02<NA><NA>서울특별시 중랑구 상봉동 ***-**<NA><NA>계몽사 동대문 대리점2008-02-21 00:00:00I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
43060000199630600952320001019961108<NA>3폐업03폐업처리20010212<NA><NA><NA>02 496 3312<NA><NA>서울특별시 중랑구 중화동 ***-*<NA><NA>알로에마임2008-02-21 00:00:00I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
53060000199630600952320001219961112<NA>3폐업03폐업처리20040813<NA><NA><NA>02 432 4385<NA><NA>서울특별시 중랑구 신내동 ***-* 성원상가 ***<NA><NA>주방나라2008-02-21 00:00:00I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
63060000199630600952320001519961115<NA>3폐업03폐업처리20010113<NA><NA><NA>02 432 6161<NA><NA>서울특별시 중랑구 면목동 ***-*<NA><NA>대우자동차(면목영업소)2008-02-21 00:00:00I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
73060000199630600952320001719961118<NA>3폐업03폐업처리19990302<NA><NA><NA>02 433 6666<NA><NA>서울특별시 중랑구 망우동 ***-*<NA><NA>기아자동차상봉딜러2008-02-21 00:00:00I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
83060000199630600952320002019961126<NA>4취소/말소/만료/정지/중지07직권말소<NA><NA><NA><NA>02 209 1553<NA><NA>서울특별시 중랑구 상봉동 ***-**<NA><NA>두원산업2016-04-15 11:22:55I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
93060000199630600952320002319961129<NA>3폐업03폐업처리20010829<NA><NA><NA>02 209 8202<NA><NA>서울특별시 중랑구 중화동 ***-**<NA><NA>생그린(동서울지사)2008-02-21 00:00:00I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)자산규모부채총액자본금판매방식명
788306000020233060202232000132023-10-30<NA>1영업/정상01정상영업<NA><NA><NA><NA>02-495-8900<NA><NA>서울특별시 중랑구 면목동 **-** *층서울특별시 중랑구 용마산로 ***, *층 (면목동)02191현대용마로판매대리점2023-10-30 14:15:54I2022-11-01 00:01:00.0<NA>208470.998049454057.771606<NA><NA><NA><NA>
789306000020233060202232000142022-09-21<NA>1영업/정상01정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 중랑구 중화동 ***-* *층서울특별시 중랑구 중랑역로 **, *층 (중화동)02101주식회사 모든마케팅2023-11-07 11:13:54I2022-11-01 00:09:00.0<NA>206780.966209455435.167822<NA><NA><NA><NA>
790306000020233060202232000152023-11-22<NA>1영업/정상01정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 중랑구 망우동 ***-** *층 ***호서울특별시 중랑구 용마산로***길 **, *층 ***호 (망우동)02166신진지네틱바이오2023-11-22 14:07:39I2022-10-31 22:04:00.0<NA>208651.52193455160.949635<NA><NA><NA><NA>
791306000020233060202232000162023-12-01<NA>1영업/정상01정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 중랑구 신내동 ***-** *층서울특별시 중랑구 용마산로 ***, *층 (신내동)02072이숯드림2023-12-01 15:29:18I2022-11-02 00:03:00.0<NA>208779.472955455441.105474<NA><NA><NA><NA>
792306000020243060202232000012024-01-18<NA>1영업/정상01정상영업<NA><NA><NA><NA>02-491-5720<NA><NA>서울특별시 중랑구 중화동 ***-** *층 ***호, ***호서울특별시 중랑구 동일로***길 **, *층 ***호***호 (중화동)02094연세우유신내대리점2024-01-18 14:20:30I2023-11-30 22:00:00.0<NA>207115.041132455183.092911<NA><NA><NA><NA>
793306000020243060202232000022024-02-13<NA>1영업/정상01정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 중랑구 상봉동 *** 상봉 프레미어스 엠코 C동 *층 ***호서울특별시 중랑구 망우로 ***, C동 *층 ***호 (상봉동, 상봉 프레미어스 엠코)02087인삼열매공사2024-02-13 16:53:09I2023-12-01 23:05:00.0<NA>207923.745923455090.718335<NA><NA><NA><NA>
794306000020243060202232000032019-04-09<NA>1영업/정상01정상영업<NA>2023-12-052024-02-29<NA><NA><NA><NA>서울특별시 중랑구 중화동 ***-* 세화빌딩 ***호서울특별시 중랑구 동일로 ***, 세화빌딩 ***호 (중화동)02094해피니스2024-02-14 10:35:42I2023-12-01 23:06:00.0<NA>207022.419123455177.85797<NA><NA><NA><NA>
795306000020243060202232000042024-03-14<NA>1영업/정상01정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 중랑구 면목동 **** 두산아파트 ***동 ****호서울특별시 중랑구 사가정로**길 *, ***동 ****호 (면목동, 두산아파트)02227피아채2024-03-14 11:39:55I2023-12-02 23:06:00.0<NA>207348.174438453260.831703<NA><NA><NA><NA>
796306000020243060202232000052024-04-11<NA>1영업/정상01정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 중랑구 면목동 ***-* 정우빌딩 *층서울특별시 중랑구 동일로***길 **, 정우빌딩 *층 (면목동)02128수소나라2024-04-11 11:30:26I2023-12-03 23:03:00.0<NA>206740.907167454334.486379<NA><NA><NA><NA>
7973060000300230600952320018120020724<NA>3폐업03폐업처리20021223<NA><NA><NA>02 448 3448<NA><NA>서울특별시 중랑구 면목동 *-* ***-**<NA><NA>동광실업2008-06-23 17:58:26I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>