Overview

Dataset statistics

Number of variables29
Number of observations393
Missing cells4753
Missing cells (%)41.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory95.3 KiB
Average record size in memory248.3 B

Variable types

Categorical6
Numeric6
DateTime4
Unsupported7
Text6

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
Author도봉구
URLhttps://data.seoul.go.kr/dataList/OA-18761/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has 393 (100.0%) missing valuesMissing
폐업일자 has 165 (42.0%) missing valuesMissing
휴업시작일자 has 393 (100.0%) missing valuesMissing
휴업종료일자 has 393 (100.0%) missing valuesMissing
재개업일자 has 393 (100.0%) missing valuesMissing
전화번호 has 130 (33.1%) missing valuesMissing
소재지면적 has 393 (100.0%) missing valuesMissing
소재지우편번호 has 241 (61.3%) missing valuesMissing
지번주소 has 76 (19.3%) missing valuesMissing
도로명주소 has 94 (23.9%) missing valuesMissing
도로명우편번호 has 196 (49.9%) missing valuesMissing
업태구분명 has 393 (100.0%) missing valuesMissing
좌표정보(X) has 81 (20.6%) missing valuesMissing
좌표정보(Y) has 81 (20.6%) missing valuesMissing
자산규모 has 312 (79.4%) missing valuesMissing
부채총액 has 313 (79.6%) missing valuesMissing
자본금 has 313 (79.6%) missing valuesMissing
판매방식명 has 393 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
최종수정일자 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
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 40 (10.2%) zerosZeros
부채총액 has 54 (13.7%) zerosZeros
자본금 has 38 (9.7%) zerosZeros

Reproduction

Analysis started2024-05-11 05:32:08.554448
Analysis finished2024-05-11 05:32:09.537503
Duration0.98 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
3090000
393 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3090000
2nd row3090000
3rd row3090000
4th row3090000
5th row3090000

Common Values

ValueCountFrequency (%)
3090000 393
100.0%

Length

2024-05-11T14:32:09.660405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:32:09.848032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3090000 393
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct393
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0116907 × 1018
Minimum1.996309 × 1018
Maximum2.024309 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.6 KiB
2024-05-11T14:32:10.039089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.996309 × 1018
5-th percentile2.000309 × 1018
Q12.007309 × 1018
median2.011309 × 1018
Q32.016309 × 1018
95-th percentile2.021309 × 1018
Maximum2.024309 × 1018
Range2.8000008 × 1016
Interquartile range (IQR)9.0000047 × 1015

Descriptive statistics

Standard deviation6.1255484 × 1015
Coefficient of variation (CV)0.0030449753
Kurtosis-0.63662326
Mean2.0116907 × 1018
Median Absolute Deviation (MAD)4.0000029 × 1015
Skewness-0.062827524
Sum-2.6155531 × 1018
Variance3.7522344 × 1031
MonotonicityStrictly increasing
2024-05-11T14:32:10.338989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1996309010523200001 1
 
0.3%
2015309015223200005 1
 
0.3%
2015309015223200003 1
 
0.3%
2015309015223200002 1
 
0.3%
2015309015223200001 1
 
0.3%
2014309013423200023 1
 
0.3%
2014309013423200022 1
 
0.3%
2014309013423200021 1
 
0.3%
2014309013423200020 1
 
0.3%
2014309013423200019 1
 
0.3%
Other values (383) 383
97.5%
ValueCountFrequency (%)
1996309010523200001 1
0.3%
1997309010523200017 1
0.3%
1997309010523200019 1
0.3%
1998309010523200020 1
0.3%
1999309010523200041 1
0.3%
1999309010523200043 1
0.3%
1999309010523200045 1
0.3%
1999309010523200049 1
0.3%
1999309010523200050 1
0.3%
2000309010523200056 1
0.3%
ValueCountFrequency (%)
2024309018523200003 1
0.3%
2024309018523200002 1
0.3%
2024309018523200001 1
0.3%
2023309018523200005 1
0.3%
2023309018523200004 1
0.3%
2023309018523200003 1
0.3%
2023309018523200002 1
0.3%
2023309018523200001 1
0.3%
2022309017023200006 1
0.3%
2022309017023200005 1
0.3%

인허가일자
Date

Distinct354
Distinct (%)90.1%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
Minimum1996-08-14 00:00:00
Maximum2024-04-24 00:00:00
2024-05-11T14:32:10.565968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:32:10.798045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing393
Missing (%)100.0%
Memory size3.6 KiB

영업상태코드
Categorical

Distinct4
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
3
221 
4
99 
1
66 
5
 
7

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row1
3rd row3
4th row4
5th row3

Common Values

ValueCountFrequency (%)
3 221
56.2%
4 99
25.2%
1 66
 
16.8%
5 7
 
1.8%

Length

2024-05-11T14:32:11.025076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:32:11.189541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 221
56.2%
4 99
25.2%
1 66
 
16.8%
5 7
 
1.8%

영업상태명
Categorical

Distinct4
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
폐업
221 
취소/말소/만료/정지/중지
99 
영업/정상
66 
제외/삭제/전출
 
7

Length

Max length14
Median length2
Mean length5.6335878
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 221
56.2%
취소/말소/만료/정지/중지 99
25.2%
영업/정상 66
 
16.8%
제외/삭제/전출 7
 
1.8%

Length

2024-05-11T14:32:11.427454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:32:11.624887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 221
56.2%
취소/말소/만료/정지/중지 99
25.2%
영업/정상 66
 
16.8%
제외/삭제/전출 7
 
1.8%

상세영업상태코드
Categorical

Distinct4
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
3
221 
7
99 
1
66 
5
 
7

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row1
3rd row3
4th row7
5th row3

Common Values

ValueCountFrequency (%)
3 221
56.2%
7 99
25.2%
1 66
 
16.8%
5 7
 
1.8%

Length

2024-05-11T14:32:11.841733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:32:12.036338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 221
56.2%
7 99
25.2%
1 66
 
16.8%
5 7
 
1.8%

상세영업상태명
Categorical

Distinct4
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
폐업처리
221 
직권말소
99 
정상영업
66 
타시군구이관
 
7

Length

Max length6
Median length4
Mean length4.0356234
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업처리 221
56.2%
직권말소 99
25.2%
정상영업 66
 
16.8%
타시군구이관 7
 
1.8%

Length

2024-05-11T14:32:12.235603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:32:12.457216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업처리 221
56.2%
직권말소 99
25.2%
정상영업 66
 
16.8%
타시군구이관 7
 
1.8%

폐업일자
Date

MISSING 

Distinct217
Distinct (%)95.2%
Missing165
Missing (%)42.0%
Memory size3.2 KiB
Minimum2007-06-28 00:00:00
Maximum2024-04-08 00:00:00
2024-05-11T14:32:12.665118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:32:12.871231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing393
Missing (%)100.0%
Memory size3.6 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing393
Missing (%)100.0%
Memory size3.6 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing393
Missing (%)100.0%
Memory size3.6 KiB

전화번호
Text

MISSING 

Distinct251
Distinct (%)95.4%
Missing130
Missing (%)33.1%
Memory size3.2 KiB
2024-05-11T14:32:13.207810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length10.901141
Min length7

Characters and Unicode

Total characters2867
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique241 ?
Unique (%)91.6%

Sample

1st row02 996 1116
2nd row02-903-0202
3rd row02 954 1659
4th row02 997 2554
5th row02 992 0360
ValueCountFrequency (%)
02 85
 
19.7%
955 10
 
2.3%
998 9
 
2.1%
992 5
 
1.2%
996 5
 
1.2%
903 5
 
1.2%
902 4
 
0.9%
900 4
 
0.9%
907 4
 
0.9%
997 4
 
0.9%
Other values (269) 297
68.8%
2024-05-11T14:32:13.824496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 445
15.5%
9 367
12.8%
2 353
12.3%
- 288
10.0%
265
9.2%
5 216
7.5%
3 177
 
6.2%
1 168
 
5.9%
4 160
 
5.6%
7 153
 
5.3%
Other values (2) 275
9.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2314
80.7%
Dash Punctuation 288
 
10.0%
Space Separator 265
 
9.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 445
19.2%
9 367
15.9%
2 353
15.3%
5 216
9.3%
3 177
 
7.6%
1 168
 
7.3%
4 160
 
6.9%
7 153
 
6.6%
8 149
 
6.4%
6 126
 
5.4%
Dash Punctuation
ValueCountFrequency (%)
- 288
100.0%
Space Separator
ValueCountFrequency (%)
265
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2867
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 445
15.5%
9 367
12.8%
2 353
12.3%
- 288
10.0%
265
9.2%
5 216
7.5%
3 177
 
6.2%
1 168
 
5.9%
4 160
 
5.6%
7 153
 
5.3%
Other values (2) 275
9.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2867
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 445
15.5%
9 367
12.8%
2 353
12.3%
- 288
10.0%
265
9.2%
5 216
7.5%
3 177
 
6.2%
1 168
 
5.9%
4 160
 
5.6%
7 153
 
5.3%
Other values (2) 275
9.6%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing393
Missing (%)100.0%
Memory size3.6 KiB

소재지우편번호
Text

MISSING 

Distinct58
Distinct (%)38.2%
Missing241
Missing (%)61.3%
Memory size3.2 KiB
2024-05-11T14:32:14.238835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0065789
Min length6

Characters and Unicode

Total characters913
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

Unique30 ?
Unique (%)19.7%

Sample

1st row132011
2nd row132030
3rd row132040
4th row132020
5th row132030
ValueCountFrequency (%)
132040 29
19.1%
132020 14
 
9.2%
132010 11
 
7.2%
132030 6
 
3.9%
132924 6
 
3.9%
132820 5
 
3.3%
132866 4
 
2.6%
132907 4
 
2.6%
132045 3
 
2.0%
132041 3
 
2.0%
Other values (48) 67
44.1%
2024-05-11T14:32:15.353631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 189
20.7%
2 186
20.4%
3 176
19.3%
0 152
16.6%
8 57
 
6.2%
4 53
 
5.8%
9 36
 
3.9%
7 27
 
3.0%
6 19
 
2.1%
5 17
 
1.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 912
99.9%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 189
20.7%
2 186
20.4%
3 176
19.3%
0 152
16.7%
8 57
 
6.2%
4 53
 
5.8%
9 36
 
3.9%
7 27
 
3.0%
6 19
 
2.1%
5 17
 
1.9%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 913
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 189
20.7%
2 186
20.4%
3 176
19.3%
0 152
16.6%
8 57
 
6.2%
4 53
 
5.8%
9 36
 
3.9%
7 27
 
3.0%
6 19
 
2.1%
5 17
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 913
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 189
20.7%
2 186
20.4%
3 176
19.3%
0 152
16.6%
8 57
 
6.2%
4 53
 
5.8%
9 36
 
3.9%
7 27
 
3.0%
6 19
 
2.1%
5 17
 
1.9%

지번주소
Text

MISSING 

Distinct229
Distinct (%)72.2%
Missing76
Missing (%)19.3%
Memory size3.2 KiB
2024-05-11T14:32:15.693770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length41
Mean length24.485804
Min length7

Characters and Unicode

Total characters7762
Distinct characters180
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

Unique191 ?
Unique (%)60.3%

Sample

1st row창동***-*
2nd row서울특별시 도봉구 쌍문동 **번지 *호
3rd row쌍문동*** 상수빌딩 ***호
4th row창동*-** 영진빌딩 ***호
5th row쌍문동*** 삼환프라자 ***호
ValueCountFrequency (%)
호 250
15.5%
서울특별시 238
14.7%
도봉구 237
14.6%
번지 193
11.9%
창동 117
 
7.2%
63
 
3.9%
층 57
 
3.5%
쌍문동 54
 
3.3%
방학동 51
 
3.2%
도봉동 48
 
3.0%
Other values (147) 310
19.2%
2024-05-11T14:32:16.280481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 1912
24.6%
1307
16.8%
동 367
 
4.7%
도 304
 
3.9%
봉 303
 
3.9%
호 256
 
3.3%
시 246
 
3.2%
구 241
 
3.1%
울 240
 
3.1%
서 239
 
3.1%
Other values (170) 2347
30.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4413
56.9%
Other Punctuation 1919
24.7%
Space Separator 1307
 
16.8%
Dash Punctuation 108
 
1.4%
Decimal Number 9
 
0.1%
Uppercase Letter 2
 
< 0.1%
Lowercase Letter 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 367
 
8.3%
도 304
 
6.9%
봉 303
 
6.9%
호 256
 
5.8%
시 246
 
5.6%
구 241
 
5.5%
울 240
 
5.4%
서 239
 
5.4%
별 238
 
5.4%
특 238
 
5.4%
Other values (155) 1741
39.5%
Decimal Number
ValueCountFrequency (%)
6 3
33.3%
1 3
33.3%
0 1
 
11.1%
5 1
 
11.1%
4 1
 
11.1%
Other Punctuation
ValueCountFrequency (%)
* 1912
99.6%
, 7
 
0.4%
Uppercase Letter
ValueCountFrequency (%)
R 1
50.0%
S 1
50.0%
Space Separator
ValueCountFrequency (%)
1307
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 108
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4413
56.9%
Common 3346
43.1%
Latin 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 367
 
8.3%
도 304
 
6.9%
봉 303
 
6.9%
호 256
 
5.8%
시 246
 
5.6%
구 241
 
5.5%
울 240
 
5.4%
서 239
 
5.4%
별 238
 
5.4%
특 238
 
5.4%
Other values (155) 1741
39.5%
Common
ValueCountFrequency (%)
* 1912
57.1%
1307
39.1%
- 108
 
3.2%
, 7
 
0.2%
6 3
 
0.1%
1 3
 
0.1%
0 1
 
< 0.1%
( 1
 
< 0.1%
) 1
 
< 0.1%
5 1
 
< 0.1%
Other values (2) 2
 
0.1%
Latin
ValueCountFrequency (%)
R 1
33.3%
S 1
33.3%
e 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4413
56.9%
ASCII 3349
43.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 1912
57.1%
1307
39.0%
- 108
 
3.2%
, 7
 
0.2%
6 3
 
0.1%
1 3
 
0.1%
R 1
 
< 0.1%
S 1
 
< 0.1%
e 1
 
< 0.1%
0 1
 
< 0.1%
Other values (5) 5
 
0.1%
Hangul
ValueCountFrequency (%)
동 367
 
8.3%
도 304
 
6.9%
봉 303
 
6.9%
호 256
 
5.8%
시 246
 
5.6%
구 241
 
5.5%
울 240
 
5.4%
서 239
 
5.4%
별 238
 
5.4%
특 238
 
5.4%
Other values (155) 1741
39.5%

도로명주소
Text

MISSING 

Distinct262
Distinct (%)87.6%
Missing94
Missing (%)23.9%
Memory size3.2 KiB
2024-05-11T14:32:16.621925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length43
Mean length33.505017
Min length22

Characters and Unicode

Total characters10018
Distinct characters190
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

Unique238 ?
Unique (%)79.6%

Sample

1st row서울특별시 도봉구 도봉로 *** (쌍문동)
2nd row서울특별시 도봉구 도봉로 ***, ***호 (도봉동,한영빌딩)
3rd row서울특별시 도봉구 도봉로 *** (쌍문동)
4th row서울특별시 도봉구 노해로**길 **, ***호 (창동)
5th row서울특별시 도봉구 마들로 ***-**, ***호 (방학동,메인프라자)
ValueCountFrequency (%)
300
15.7%
서울특별시 299
15.7%
도봉구 298
15.6%
호 143
 
7.5%
창동 89
 
4.7%
층 81
 
4.3%
도봉로 53
 
2.8%
도봉로***길 50
 
2.6%
도봉동 45
 
2.4%
방학동 44
 
2.3%
Other values (204) 503
26.4%
2024-05-11T14:32:17.249196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 1852
18.5%
1613
16.1%
도 504
 
5.0%
봉 498
 
5.0%
, 368
 
3.7%
동 368
 
3.7%
시 318
 
3.2%
울 301
 
3.0%
서 300
 
3.0%
( 300
 
3.0%
Other values (180) 3596
35.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5509
55.0%
Other Punctuation 2220
22.2%
Space Separator 1613
 
16.1%
Open Punctuation 300
 
3.0%
Close Punctuation 300
 
3.0%
Dash Punctuation 45
 
0.4%
Decimal Number 21
 
0.2%
Uppercase Letter 8
 
0.1%
Math Symbol 1
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 504
 
9.1%
봉 498
 
9.0%
동 368
 
6.7%
시 318
 
5.8%
울 301
 
5.5%
서 300
 
5.4%
특 299
 
5.4%
별 299
 
5.4%
구 299
 
5.4%
로 296
 
5.4%
Other values (160) 2027
36.8%
Decimal Number
ValueCountFrequency (%)
1 7
33.3%
3 4
19.0%
6 4
19.0%
9 2
 
9.5%
0 1
 
4.8%
8 1
 
4.8%
2 1
 
4.8%
5 1
 
4.8%
Uppercase Letter
ValueCountFrequency (%)
B 4
50.0%
A 2
25.0%
R 1
 
12.5%
S 1
 
12.5%
Other Punctuation
ValueCountFrequency (%)
* 1852
83.4%
, 368
 
16.6%
Space Separator
ValueCountFrequency (%)
1613
100.0%
Open Punctuation
ValueCountFrequency (%)
( 300
100.0%
Close Punctuation
ValueCountFrequency (%)
) 300
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 45
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5509
55.0%
Common 4500
44.9%
Latin 9
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 504
 
9.1%
봉 498
 
9.0%
동 368
 
6.7%
시 318
 
5.8%
울 301
 
5.5%
서 300
 
5.4%
특 299
 
5.4%
별 299
 
5.4%
구 299
 
5.4%
로 296
 
5.4%
Other values (160) 2027
36.8%
Common
ValueCountFrequency (%)
* 1852
41.2%
1613
35.8%
, 368
 
8.2%
( 300
 
6.7%
) 300
 
6.7%
- 45
 
1.0%
1 7
 
0.2%
3 4
 
0.1%
6 4
 
0.1%
9 2
 
< 0.1%
Other values (5) 5
 
0.1%
Latin
ValueCountFrequency (%)
B 4
44.4%
A 2
22.2%
R 1
 
11.1%
S 1
 
11.1%
e 1
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5509
55.0%
ASCII 4509
45.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 1852
41.1%
1613
35.8%
, 368
 
8.2%
( 300
 
6.7%
) 300
 
6.7%
- 45
 
1.0%
1 7
 
0.2%
B 4
 
0.1%
3 4
 
0.1%
6 4
 
0.1%
Other values (10) 12
 
0.3%
Hangul
ValueCountFrequency (%)
도 504
 
9.1%
봉 498
 
9.0%
동 368
 
6.7%
시 318
 
5.8%
울 301
 
5.5%
서 300
 
5.4%
특 299
 
5.4%
별 299
 
5.4%
구 299
 
5.4%
로 296
 
5.4%
Other values (160) 2027
36.8%

도로명우편번호
Text

MISSING 

Distinct125
Distinct (%)63.5%
Missing196
Missing (%)49.9%
Memory size3.2 KiB
2024-05-11T14:32:17.806409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.3807107
Min length5

Characters and Unicode

Total characters1060
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

Unique81 ?
Unique (%)41.1%

Sample

1st row01442
2nd row132908
3rd row132821
4th row132852
5th row132814
ValueCountFrequency (%)
132924 5
 
2.5%
01415 5
 
2.5%
01454 5
 
2.5%
01432 5
 
2.5%
01473 4
 
2.0%
132822 4
 
2.0%
01470 4
 
2.0%
01414 3
 
1.5%
01314 3
 
1.5%
132040 3
 
1.5%
Other values (115) 156
79.2%
2024-05-11T14:32:18.685773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 249
23.5%
0 182
17.2%
3 163
15.4%
4 126
11.9%
2 122
11.5%
8 69
 
6.5%
5 48
 
4.5%
9 45
 
4.2%
7 37
 
3.5%
6 18
 
1.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1059
99.9%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 249
23.5%
0 182
17.2%
3 163
15.4%
4 126
11.9%
2 122
11.5%
8 69
 
6.5%
5 48
 
4.5%
9 45
 
4.2%
7 37
 
3.5%
6 18
 
1.7%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1060
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 249
23.5%
0 182
17.2%
3 163
15.4%
4 126
11.9%
2 122
11.5%
8 69
 
6.5%
5 48
 
4.5%
9 45
 
4.2%
7 37
 
3.5%
6 18
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1060
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 249
23.5%
0 182
17.2%
3 163
15.4%
4 126
11.9%
2 122
11.5%
8 69
 
6.5%
5 48
 
4.5%
9 45
 
4.2%
7 37
 
3.5%
6 18
 
1.7%

사업장명
Text

Distinct376
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
2024-05-11T14:32:19.108288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length22
Mean length7.1755725
Min length2

Characters and Unicode

Total characters2820
Distinct characters392
Distinct categories8 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique365 ?
Unique (%)92.9%

Sample

1st row타파웨어다사랑
2nd row쉐보레북부판매 주식회사
3rd row쌍문건강생활
4th row알로에마임
5th row아모레도봉특약점
ValueCountFrequency (%)
주식회사 22
 
4.1%
르네셀 6
 
1.1%
주 5
 
0.9%
에치와이 5
 
0.9%
도봉지사 5
 
0.9%
연세우유 4
 
0.7%
알즈너 4
 
0.7%
쌍문 4
 
0.7%
인셀덤 4
 
0.7%
마임 4
 
0.7%
Other values (436) 478
88.4%
2024-05-11T14:32:19.816459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
148
 
5.2%
이 81
 
2.9%
사 73
 
2.6%
리 68
 
2.4%
주 67
 
2.4%
스 62
 
2.2%
( 58
 
2.1%
) 58
 
2.1%
도 43
 
1.5%
봉 43
 
1.5%
Other values (382) 2119
75.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2403
85.2%
Space Separator 148
 
5.2%
Uppercase Letter 98
 
3.5%
Open Punctuation 58
 
2.1%
Close Punctuation 58
 
2.1%
Lowercase Letter 30
 
1.1%
Other Punctuation 17
 
0.6%
Decimal Number 8
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 81
 
3.4%
사 73
 
3.0%
리 68
 
2.8%
주 67
 
2.8%
스 62
 
2.6%
도 43
 
1.8%
봉 43
 
1.8%
점 42
 
1.7%
지 41
 
1.7%
에 36
 
1.5%
Other values (338) 1847
76.9%
Uppercase Letter
ValueCountFrequency (%)
S 16
16.3%
C 11
11.2%
T 8
 
8.2%
K 7
 
7.1%
E 5
 
5.1%
L 5
 
5.1%
O 5
 
5.1%
R 5
 
5.1%
G 5
 
5.1%
B 4
 
4.1%
Other values (12) 27
27.6%
Lowercase Letter
ValueCountFrequency (%)
n 4
13.3%
o 4
13.3%
a 4
13.3%
i 2
6.7%
l 2
6.7%
t 2
6.7%
d 2
6.7%
u 2
6.7%
m 2
6.7%
r 2
6.7%
Other values (3) 4
13.3%
Other Punctuation
ValueCountFrequency (%)
. 10
58.8%
, 4
 
23.5%
& 3
 
17.6%
Decimal Number
ValueCountFrequency (%)
2 5
62.5%
1 2
 
25.0%
7 1
 
12.5%
Space Separator
ValueCountFrequency (%)
148
100.0%
Open Punctuation
ValueCountFrequency (%)
( 58
100.0%
Close Punctuation
ValueCountFrequency (%)
) 58
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2402
85.2%
Common 289
 
10.2%
Latin 128
 
4.5%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 81
 
3.4%
사 73
 
3.0%
리 68
 
2.8%
주 67
 
2.8%
스 62
 
2.6%
도 43
 
1.8%
봉 43
 
1.8%
점 42
 
1.7%
지 41
 
1.7%
에 36
 
1.5%
Other values (337) 1846
76.9%
Latin
ValueCountFrequency (%)
S 16
 
12.5%
C 11
 
8.6%
T 8
 
6.2%
K 7
 
5.5%
E 5
 
3.9%
L 5
 
3.9%
O 5
 
3.9%
R 5
 
3.9%
G 5
 
3.9%
B 4
 
3.1%
Other values (25) 57
44.5%
Common
ValueCountFrequency (%)
148
51.2%
( 58
 
20.1%
) 58
 
20.1%
. 10
 
3.5%
2 5
 
1.7%
, 4
 
1.4%
& 3
 
1.0%
1 2
 
0.7%
7 1
 
0.3%
Han
ValueCountFrequency (%)
美 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2402
85.2%
ASCII 417
 
14.8%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
148
35.5%
( 58
 
13.9%
) 58
 
13.9%
S 16
 
3.8%
C 11
 
2.6%
. 10
 
2.4%
T 8
 
1.9%
K 7
 
1.7%
E 5
 
1.2%
L 5
 
1.2%
Other values (34) 91
21.8%
Hangul
ValueCountFrequency (%)
이 81
 
3.4%
사 73
 
3.0%
리 68
 
2.8%
주 67
 
2.8%
스 62
 
2.6%
도 43
 
1.8%
봉 43
 
1.8%
점 42
 
1.7%
지 41
 
1.7%
에 36
 
1.5%
Other values (337) 1846
76.9%
CJK
ValueCountFrequency (%)
美 1
100.0%

최종수정일자
Date

UNIQUE 

Distinct393
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
Minimum2007-06-28 19:44:09
Maximum2024-04-25 11:29:36
2024-05-11T14:32:20.181077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:32:20.422768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
I
302 
U
91 

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 302
76.8%
U 91
 
23.2%

Length

2024-05-11T14:32:20.629232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:32:20.795052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 302
76.8%
u 91
 
23.2%

데이터갱신일자
Date

Distinct98
Distinct (%)24.9%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-03 23:01:00
2024-05-11T14:32:20.984334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:32:21.245294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing393
Missing (%)100.0%
Memory size3.6 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct240
Distinct (%)76.9%
Missing81
Missing (%)20.6%
Infinite0
Infinite (%)0.0%
Mean203424.09
Minimum201554.37
Maximum204641.87
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.6 KiB
2024-05-11T14:32:21.493876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum201554.37
5-th percentile202328.53
Q1203007.44
median203439.45
Q3203883.06
95-th percentile204357.38
Maximum204641.87
Range3087.5023
Interquartile range (IQR)875.62081

Descriptive statistics

Standard deviation591.78022
Coefficient of variation (CV)0.002909096
Kurtosis-0.23734222
Mean203424.09
Median Absolute Deviation (MAD)440.17998
Skewness-0.36240793
Sum63468317
Variance350203.83
MonotonicityNot monotonic
2024-05-11T14:32:21.760373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
202999.2675169 6
 
1.5%
203439.44750178 6
 
1.5%
203964.099772835 5
 
1.3%
203220.921406024 5
 
1.3%
204019.915809285 4
 
1.0%
204502.118604099 4
 
1.0%
204462.811445887 4
 
1.0%
203921.817247528 3
 
0.8%
203848.772422951 3
 
0.8%
204169.847670316 3
 
0.8%
Other values (230) 269
68.4%
(Missing) 81
 
20.6%
ValueCountFrequency (%)
201554.370004 1
 
0.3%
201615.312514323 1
 
0.3%
201965.145864333 1
 
0.3%
202017.427130772 1
 
0.3%
202115.623338265 1
 
0.3%
202182.827243169 1
 
0.3%
202222.380149357 1
 
0.3%
202237.410410982 3
0.8%
202253.860470149 1
 
0.3%
202280.965258142 2
0.5%
ValueCountFrequency (%)
204641.872260793 1
 
0.3%
204502.118604099 4
1.0%
204462.811445887 4
1.0%
204428.262955437 1
 
0.3%
204397.004135761 1
 
0.3%
204391.615 1
 
0.3%
204383.782399605 1
 
0.3%
204365.037901995 2
0.5%
204357.382835077 2
0.5%
204345.826664906 1
 
0.3%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct240
Distinct (%)76.9%
Missing81
Missing (%)20.6%
Infinite0
Infinite (%)0.0%
Mean461725.7
Minimum443203.56
Maximum465161.13
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.6 KiB
2024-05-11T14:32:22.083341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum443203.56
5-th percentile459587.49
Q1460744.28
median461539.55
Q3462817.41
95-th percentile464452.78
Maximum465161.13
Range21957.566
Interquartile range (IQR)2073.1258

Descriptive statistics

Standard deviation1757.8453
Coefficient of variation (CV)0.0038071203
Kurtosis38.431724
Mean461725.7
Median Absolute Deviation (MAD)937.09087
Skewness-3.5082102
Sum1.4405842 × 108
Variance3090020
MonotonicityNot monotonic
2024-05-11T14:32:22.376235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
460616.701327584 6
 
1.5%
461539.552727474 6
 
1.5%
464779.326449954 5
 
1.3%
459746.924430501 5
 
1.3%
463372.616482258 4
 
1.0%
461278.391079956 4
 
1.0%
461156.29642481 4
 
1.0%
461218.031075784 3
 
0.8%
464092.187505065 3
 
0.8%
464814.717432497 3
 
0.8%
Other values (230) 269
68.4%
(Missing) 81
 
20.6%
ValueCountFrequency (%)
443203.561575728 1
0.3%
459009.265716602 1
0.3%
459130.893656814 1
0.3%
459134.623667706 1
0.3%
459362.933677841 1
0.3%
459436.471272743 1
0.3%
459442.163329952 2
0.5%
459448.0 1
0.3%
459455.149905192 1
0.3%
459467.613847618 1
0.3%
ValueCountFrequency (%)
465161.127224249 1
 
0.3%
465123.841705959 1
 
0.3%
464814.717432497 3
0.8%
464788.847055332 1
 
0.3%
464779.326449954 5
1.3%
464474.910004698 3
0.8%
464472.810888981 1
 
0.3%
464457.778089582 1
 
0.3%
464448.684446374 1
 
0.3%
464428.946929195 1
 
0.3%

자산규모
Real number (ℝ)

MISSING  ZEROS 

Distinct37
Distinct (%)45.7%
Missing312
Missing (%)79.4%
Infinite0
Infinite (%)0.0%
Mean2.2640452 × 1010
Minimum0
Maximum1.5674 × 1012
Zeros40
Zeros (%)10.2%
Negative0
Negative (%)0.0%
Memory size3.6 KiB
2024-05-11T14:32:22.606761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1000000
Q31.7353356 × 108
95-th percentile3.659225 × 109
Maximum1.5674 × 1012
Range1.5674 × 1012
Interquartile range (IQR)1.7353356 × 108

Descriptive statistics

Standard deviation1.7472289 × 1011
Coefficient of variation (CV)7.717288
Kurtosis79.211558
Mean2.2640452 × 1010
Median Absolute Deviation (MAD)1000000
Skewness8.8590506
Sum1.8338766 × 1012
Variance3.0528088 × 1022
MonotonicityNot monotonic
2024-05-11T14:32:22.845300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
0 40
 
10.2%
50000000 3
 
0.8%
20000000 3
 
0.8%
10000000 2
 
0.5%
500000000 1
 
0.3%
100000000 1
 
0.3%
87903079 1
 
0.3%
200000000 1
 
0.3%
1143000000 1
 
0.3%
553524713 1
 
0.3%
Other values (27) 27
 
6.9%
(Missing) 312
79.4%
ValueCountFrequency (%)
0 40
10.2%
1000000 1
 
0.3%
10000000 2
 
0.5%
15000000 1
 
0.3%
20000000 3
 
0.8%
32969770 1
 
0.3%
46024971 1
 
0.3%
49477434 1
 
0.3%
50000000 3
 
0.8%
55000000 1
 
0.3%
ValueCountFrequency (%)
1567400000000 1
0.3%
122900000000 1
0.3%
106747425446 1
0.3%
22413696081 1
0.3%
3659224971 1
0.3%
1805494431 1
0.3%
1143000000 1
0.3%
994605036 1
0.3%
950189164 1
0.3%
872645614 1
0.3%

부채총액
Real number (ℝ)

MISSING  ZEROS 

Distinct27
Distinct (%)33.8%
Missing313
Missing (%)79.6%
Infinite0
Infinite (%)0.0%
Mean1.9932357 × 1010
Minimum0
Maximum1.4511 × 1012
Zeros54
Zeros (%)13.7%
Negative0
Negative (%)0.0%
Memory size3.6 KiB
2024-05-11T14:32:23.117114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q337490142
95-th percentile4.1271197 × 109
Maximum1.4511 × 1012
Range1.4511 × 1012
Interquartile range (IQR)37490142

Descriptive statistics

Standard deviation1.6230144 × 1011
Coefficient of variation (CV)8.1426119
Kurtosis79.455365
Mean1.9932357 × 1010
Median Absolute Deviation (MAD)0
Skewness8.9002387
Sum1.5945885 × 1012
Variance2.6341759 × 1022
MonotonicityNot monotonic
2024-05-11T14:32:23.385164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
0 54
 
13.7%
3425492880 1
 
0.3%
5230737 1
 
0.3%
39718400 1
 
0.3%
1451100000000 1
 
0.3%
33528920 1
 
0.3%
1083596666 1
 
0.3%
30000000 1
 
0.3%
468862792 1
 
0.3%
1141000000 1
 
0.3%
Other values (17) 17
 
4.3%
(Missing) 313
79.6%
ValueCountFrequency (%)
0 54
13.7%
4693536 1
 
0.3%
5000000 1
 
0.3%
5230737 1
 
0.3%
30000000 1
 
0.3%
33528920 1
 
0.3%
36747390 1
 
0.3%
39718400 1
 
0.3%
50000000 1
 
0.3%
73953526 1
 
0.3%
ValueCountFrequency (%)
1451100000000 1
0.3%
58700000000 1
0.3%
57664506470 1
0.3%
17458029675 1
0.3%
3425492880 1
0.3%
1141000000 1
0.3%
1083596666 1
0.3%
751245350 1
0.3%
546344525 1
0.3%
468862792 1
0.3%

자본금
Real number (ℝ)

MISSING  ZEROS 

Distinct23
Distinct (%)28.7%
Missing313
Missing (%)79.6%
Infinite0
Infinite (%)0.0%
Mean2.0514418 × 109
Minimum0
Maximum1.163 × 1011
Zeros38
Zeros (%)9.7%
Negative0
Negative (%)0.0%
Memory size3.6 KiB
2024-05-11T14:32:23.607895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median750000
Q350000000
95-th percentile6.7363081 × 108
Maximum1.163 × 1011
Range1.163 × 1011
Interquartile range (IQR)50000000

Descriptive statistics

Standard deviation1.3318905 × 1010
Coefficient of variation (CV)6.4924608
Kurtosis70.915306
Mean2.0514418 × 109
Median Absolute Deviation (MAD)750000
Skewness8.2546138
Sum1.6411534 × 1011
Variance1.7739324 × 1020
MonotonicityNot monotonic
2024-05-11T14:32:23.826181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0 38
 
9.7%
50000000 15
 
3.8%
20000000 3
 
0.8%
10000000 3
 
0.8%
20000000000 2
 
0.5%
100000000 2
 
0.5%
49477434 1
 
0.3%
448260511 1
 
0.3%
233732091 1
 
0.3%
79698277 1
 
0.3%
Other values (13) 13
 
3.3%
(Missing) 313
79.6%
ValueCountFrequency (%)
0 38
9.7%
5000 1
 
0.3%
500000 1
 
0.3%
1000000 1
 
0.3%
10000000 3
 
0.8%
15000000 1
 
0.3%
20000000 3
 
0.8%
28106888 1
 
0.3%
49477434 1
 
0.3%
50000000 15
 
3.8%
ValueCountFrequency (%)
116300000000 1
0.3%
20000000000 2
0.5%
4955666406 1
0.3%
448260511 1
0.3%
233732091 1
0.3%
214019105 1
0.3%
198943814 1
0.3%
170000000 1
0.3%
150933343 1
0.3%
150000000 1
0.3%

판매방식명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing393
Missing (%)100.0%
Memory size3.6 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)자산규모부채총액자본금판매방식명
03090000199630901052320000119960814<NA>3폐업3폐업처리20080321<NA><NA><NA>02 996 1116<NA><NA>창동***-*<NA><NA>타파웨어다사랑2008-03-21 11:13:49I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
13090000199730901052320001719970626<NA>1영업/정상1정상영업<NA><NA><NA><NA>02-903-0202<NA><NA>서울특별시 도봉구 쌍문동 **번지 *호서울특별시 도봉구 도봉로 *** (쌍문동)01442쉐보레북부판매 주식회사2018-06-14 15:51:35I2018-08-31 23:59:59.0<NA>203088.52902460968.27605233371164631767399850000000<NA>
23090000199730901052320001919971205<NA>3폐업3폐업처리20070827<NA><NA><NA>02 954 1659<NA><NA>쌍문동*** 상수빌딩 ***호<NA><NA>쌍문건강생활2007-08-27 17:54:14I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
33090000199830901052320002019980115<NA>4취소/말소/만료/정지/중지7직권말소<NA><NA><NA><NA>02 997 2554<NA><NA>창동*-** 영진빌딩 ***호<NA><NA>알로에마임2017-04-14 17:37:39I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
43090000199930901052320004119990310<NA>3폐업3폐업처리20100713<NA><NA><NA>02 992 0360<NA><NA>쌍문동*** 삼환프라자 ***호<NA><NA>아모레도봉특약점2010-07-13 16:21:27I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
53090000199930901052320004319990316<NA>3폐업3폐업처리20131004<NA><NA><NA>02 999 9331<NA><NA>창동***-* 한성빌딩 ***호<NA><NA>김정문 알로에 북부지부2013-10-04 09:25:19I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
63090000199930901052320004519990712<NA>1영업/정상1정상영업<NA><NA><NA><NA>02 3493 8855<NA><NA>방학동***-**<NA><NA>현대자동차신방학대리점2022-01-20 14:01:51U2022-01-22 02:40:00.0<NA><NA><NA>000<NA>
73090000199930901052320004919991208<NA>3폐업3폐업처리20141212<NA><NA><NA>02 997 8305<NA><NA>창동***-** *층<NA><NA>효성양행2014-12-12 17:04:55I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
83090000199930901052320005019991208<NA>4취소/말소/만료/정지/중지7직권말소<NA><NA><NA><NA>02 992 8095<NA><NA>쌍문동***-** 한양상가 ***호<NA><NA>한독유통2017-04-14 17:36:57I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
93090000200030901052320005620000219<NA>3폐업3폐업처리20170430<NA><NA><NA>02 999 2735<NA><NA>쌍문동***-* *층<NA><NA>생그린도봉지사2017-04-26 11:24:58I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)자산규모부채총액자본금판매방식명
3833090000202230901702320000520221209<NA>1영업/정상1정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 도봉구 방학동 651-4서울특별시 도봉구 도봉로153길 39, 2층 (방학동)01350참숯마을 숯의힘2022-12-09 15:33:51I2021-11-01 23:01:00.0<NA>203577.863998463050.891101<NA><NA><NA><NA>
3843090000202230901702320000620140102<NA>1영업/정상1정상영업<NA><NA><NA><NA>988-3577<NA><NA>서울특별시 도봉구 도봉동 601서울특별시 도봉구 도봉로169나길 81, 1층 일부호 (도봉동)01308논스2022-12-27 14:32:39I2021-11-01 22:09:00.0<NA>203791.008358463737.397895<NA><NA><NA><NA>
385309000020233090185232000012023-03-21<NA>5제외/삭제/전출5타시군구이관2023-06-26<NA><NA><NA><NA><NA><NA>서울특별시 도봉구 도봉동 **-***서울특별시 도봉구 도봉로***길 **, *층 (도봉동)01321나은 의료기2023-06-26 13:10:35U2022-12-05 22:08:00.0<NA>204005.865353464215.186873<NA><NA><NA><NA>
386309000020233090185232000022023-04-19<NA>1영업/정상1정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 도봉구 창동 *** 주공*단지아파트서울특별시 도봉구 덕릉로 ***, ***동 ***호 (창동, 주공*단지아파트)01488자동차수출2023-04-19 15:16:37I2022-12-03 22:01:00.0<NA>204151.714134460213.421434<NA><NA><NA><NA>
387309000020233090185232000032020-07-23<NA>1영업/정상1정상영업<NA><NA><NA><NA>1833-4531<NA><NA>서울특별시 도봉구 창동 ***-*서울특별시 도봉구 도봉로 ***, *층 좌측호 (창동)01454(주)케이에스원네트웍스2023-08-02 13:01:34I2022-12-08 00:04:00.0<NA>203043.71061460737.456545<NA><NA><NA><NA>
388309000020233090185232000042023-08-22<NA>1영업/정상1정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 도봉구 쌍문동 ***-* 힐트리움 아파트서울특별시 도봉구 우이천로**길 **, ***동 ***호 (쌍문동, 힐트리움 아파트)01448동이덴탈가글2023-08-22 09:30:09I2022-12-07 22:04:00.0<NA>202749.980775460337.490971<NA><NA><NA><NA>
389309000020233090185232000052023-11-13<NA>1영업/정상1정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 도봉구 창동 *-*서울특별시 도봉구 노해로 ***, *층 ***호 (창동)01414웰빙 라이프2023-11-13 10:08:03I2022-10-31 23:05:00.0<NA>204383.7824461131.410827<NA><NA><NA><NA>
390309000020243090185232000012022-11-23<NA>1영업/정상1정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 도봉구 도봉동 ***-** 지층호서울특별시 도봉구 도봉로 ***, 지층호 (도봉동)01304뉴 윈스코2024-03-11 09:37:28I2023-12-02 23:03:00.0<NA>203947.714822464474.910005<NA><NA><NA><NA>
391309000020243090185232000022019-11-28<NA>1영업/정상1정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 도봉구 창동 ***-**서울특별시 도봉구 도봉로 ***-*, *층 (창동)01455우리홀쇼핑2024-04-09 17:53:53I2023-12-03 23:01:00.0<NA>202937.247114460489.078428<NA><NA><NA><NA>
392309000020243090185232000032024-04-24<NA>1영업/정상1정상영업<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 도봉구 해등로**길 **, 타임프라자 ***호 (창동)01402경옥가헬스케어2024-04-24 11:02:46I2023-12-03 22:06:00.0<NA>203589.205619461471.472271<NA><NA><NA><NA>