Overview

Dataset statistics

Number of variables44
Number of observations10000
Missing cells106085
Missing cells (%)24.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.7 MiB
Average record size in memory383.0 B

Variable types

Categorical18
Text7
DateTime4
Unsupported8
Numeric6
Boolean1

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),위생업태명,남성종사자수,여성종사자수,영업장주변구분명,등급구분명,급수시설구분명,총인원,본사종업원수,공장사무직종업원수,공장판매직종업원수,공장생산직종업원수,건물소유구분명,보증액,월세액,다중이용업소여부,시설총규모,전통업소지정번호,전통업소주된음식,홈페이지
Author중랑구
URLhttps://data.seoul.go.kr/dataList/OA-18658/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
전통업소지정번호 has constant value ""Constant
급수시설구분명 is highly imbalanced (61.4%)Imbalance
총인원 is highly imbalanced (80.2%)Imbalance
본사종업원수 is highly imbalanced (80.2%)Imbalance
공장사무직종업원수 is highly imbalanced (80.2%)Imbalance
공장판매직종업원수 is highly imbalanced (80.2%)Imbalance
공장생산직종업원수 is highly imbalanced (80.2%)Imbalance
보증액 is highly imbalanced (80.2%)Imbalance
월세액 is highly imbalanced (80.2%)Imbalance
다중이용업소여부 is highly imbalanced (94.7%)Imbalance
인허가취소일자 has 10000 (100.0%) missing valuesMissing
폐업일자 has 2314 (23.1%) missing valuesMissing
휴업시작일자 has 10000 (100.0%) missing valuesMissing
휴업종료일자 has 10000 (100.0%) missing valuesMissing
재개업일자 has 10000 (100.0%) missing valuesMissing
전화번호 has 2639 (26.4%) missing valuesMissing
도로명주소 has 5462 (54.6%) missing valuesMissing
도로명우편번호 has 5538 (55.4%) missing valuesMissing
좌표정보(X) has 361 (3.6%) missing valuesMissing
좌표정보(Y) has 361 (3.6%) missing valuesMissing
남성종사자수 has 3438 (34.4%) missing valuesMissing
여성종사자수 has 3322 (33.2%) missing valuesMissing
건물소유구분명 has 10000 (100.0%) missing valuesMissing
다중이용업소여부 has 1309 (13.1%) missing valuesMissing
시설총규모 has 1309 (13.1%) missing valuesMissing
전통업소지정번호 has 9999 (> 99.9%) missing valuesMissing
전통업소주된음식 has 10000 (100.0%) missing valuesMissing
홈페이지 has 10000 (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
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
건물소유구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
전통업소주된음식 is an unsupported type, check if it needs cleaning or further analysisUnsupported
홈페이지 is an unsupported type, check if it needs cleaning or further analysisUnsupported
남성종사자수 has 4844 (48.4%) zerosZeros
여성종사자수 has 3504 (35.0%) zerosZeros

Reproduction

Analysis started2024-05-11 07:36:41.177385
Analysis finished2024-05-11 07:36:46.838272
Duration5.66 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
3060000
10000 

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 10000
100.0%

Length

2024-05-11T07:36:47.019564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:36:47.483521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3060000 10000
100.0%

관리번호
Text

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-11T07:36:47.957529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters220000
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

Unique10000 ?
Unique (%)100.0%

Sample

1st row3060000-101-2019-00202
2nd row3060000-101-2002-00648
3rd row3060000-101-2014-00006
4th row3060000-101-1989-04192
5th row3060000-101-1995-05617
ValueCountFrequency (%)
3060000-101-2019-00202 1
 
< 0.1%
3060000-101-2000-09524 1
 
< 0.1%
3060000-101-1996-05702 1
 
< 0.1%
3060000-101-2002-00444 1
 
< 0.1%
3060000-101-2009-00029 1
 
< 0.1%
3060000-101-1999-07879 1
 
< 0.1%
3060000-101-2007-00089 1
 
< 0.1%
3060000-101-1993-02896 1
 
< 0.1%
3060000-101-1993-00028 1
 
< 0.1%
3060000-101-2002-00572 1
 
< 0.1%
Other values (9990) 9990
99.9%
2024-05-11T07:36:49.051821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 89443
40.7%
1 31728
 
14.4%
- 30000
 
13.6%
3 14877
 
6.8%
6 13822
 
6.3%
2 12295
 
5.6%
9 11526
 
5.2%
8 4414
 
2.0%
4 4389
 
2.0%
5 4168
 
1.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 190000
86.4%
Dash Punctuation 30000
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 89443
47.1%
1 31728
 
16.7%
3 14877
 
7.8%
6 13822
 
7.3%
2 12295
 
6.5%
9 11526
 
6.1%
8 4414
 
2.3%
4 4389
 
2.3%
5 4168
 
2.2%
7 3338
 
1.8%
Dash Punctuation
ValueCountFrequency (%)
- 30000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 220000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 89443
40.7%
1 31728
 
14.4%
- 30000
 
13.6%
3 14877
 
6.8%
6 13822
 
6.3%
2 12295
 
5.6%
9 11526
 
5.2%
8 4414
 
2.0%
4 4389
 
2.0%
5 4168
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 220000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 89443
40.7%
1 31728
 
14.4%
- 30000
 
13.6%
3 14877
 
6.8%
6 13822
 
6.3%
2 12295
 
5.6%
9 11526
 
5.2%
8 4414
 
2.0%
4 4389
 
2.0%
5 4168
 
1.9%

인허가일자
Date

Distinct6015
Distinct (%)60.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum1972-02-23 00:00:00
Maximum2024-05-09 00:00:00
2024-05-11T07:36:49.686452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:36:50.273314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

영업상태코드
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
3
7686 
1
2314 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 7686
76.9%
1 2314
 
23.1%

Length

2024-05-11T07:36:50.982183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:36:51.587951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 7686
76.9%
1 2314
 
23.1%

영업상태명
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
폐업
7686 
영업/정상
2314 

Length

Max length5
Median length2
Mean length2.6942
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row폐업
2nd row폐업
3rd row폐업
4th row영업/정상
5th row폐업

Common Values

ValueCountFrequency (%)
폐업 7686
76.9%
영업/정상 2314
 
23.1%

Length

2024-05-11T07:36:52.065161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:36:52.419382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 7686
76.9%
영업/정상 2314
 
23.1%

상세영업상태코드
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2
7686 
1
2314 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row2
3rd row2
4th row1
5th row2

Common Values

ValueCountFrequency (%)
2 7686
76.9%
1 2314
 
23.1%

Length

2024-05-11T07:36:52.908474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:36:53.216714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 7686
76.9%
1 2314
 
23.1%

상세영업상태명
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
폐업
7686 
영업
2314 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 7686
76.9%
영업 2314
 
23.1%

Length

2024-05-11T07:36:53.523551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:36:53.801556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 7686
76.9%
영업 2314
 
23.1%

폐업일자
Date

MISSING 

Distinct4448
Distinct (%)57.9%
Missing2314
Missing (%)23.1%
Memory size156.2 KiB
Minimum1987-11-10 00:00:00
Maximum2024-05-09 00:00:00
2024-05-11T07:36:54.152261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:36:54.662783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

전화번호
Text

MISSING 

Distinct6488
Distinct (%)88.1%
Missing2639
Missing (%)26.4%
Memory size156.2 KiB
2024-05-11T07:36:55.638202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length9.8126613
Min length1

Characters and Unicode

Total characters72231
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

Unique6288 ?
Unique (%)85.4%

Sample

1st row0204957663
2nd row02 4914637
3rd row02 432 9902
4th row02 4911625
5th row02 2091741
ValueCountFrequency (%)
02 5675
41.1%
433 132
 
1.0%
432 122
 
0.9%
434 98
 
0.7%
435 84
 
0.6%
491 82
 
0.6%
0200000000 70
 
0.5%
493 63
 
0.5%
436 61
 
0.4%
494 58
 
0.4%
Other values (6405) 7368
53.3%
2024-05-11T07:36:57.157304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 12944
17.9%
2 12671
17.5%
4 8378
11.6%
8058
11.2%
3 6666
9.2%
9 6092
8.4%
7 4038
 
5.6%
5 3606
 
5.0%
8 3395
 
4.7%
1 3224
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 64173
88.8%
Space Separator 8058
 
11.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 12944
20.2%
2 12671
19.7%
4 8378
13.1%
3 6666
10.4%
9 6092
9.5%
7 4038
 
6.3%
5 3606
 
5.6%
8 3395
 
5.3%
1 3224
 
5.0%
6 3159
 
4.9%
Space Separator
ValueCountFrequency (%)
8058
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 72231
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 12944
17.9%
2 12671
17.5%
4 8378
11.6%
8058
11.2%
3 6666
9.2%
9 6092
8.4%
7 4038
 
5.6%
5 3606
 
5.0%
8 3395
 
4.7%
1 3224
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 72231
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 12944
17.9%
2 12671
17.5%
4 8378
11.6%
8058
11.2%
3 6666
9.2%
9 6092
8.4%
7 4038
 
5.6%
5 3606
 
5.0%
8 3395
 
4.7%
1 3224
 
4.5%

소재지면적
Unsupported

REJECTED  UNSUPPORTED 

Missing33
Missing (%)0.3%
Memory size156.2 KiB

소재지우편번호
Text

Distinct167
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-11T07:36:58.169261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0886
Min length6

Characters and Unicode

Total characters60886
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

Unique16 ?
Unique (%)0.2%

Sample

1st row131876
2nd row131861
3rd row131848
4th row131810
5th row131823
ValueCountFrequency (%)
131861 374
 
3.7%
131859 352
 
3.5%
131823 344
 
3.4%
131848 313
 
3.1%
131816 280
 
2.8%
131831 272
 
2.7%
131828 271
 
2.7%
131810 256
 
2.6%
131881 256
 
2.6%
131813 249
 
2.5%
Other values (157) 7033
70.3%
2024-05-11T07:36:59.534686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 23721
39.0%
3 11706
19.2%
8 11573
19.0%
2 2997
 
4.9%
0 2515
 
4.1%
6 2077
 
3.4%
5 1804
 
3.0%
7 1614
 
2.7%
9 1117
 
1.8%
- 886
 
1.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 60000
98.5%
Dash Punctuation 886
 
1.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 23721
39.5%
3 11706
19.5%
8 11573
19.3%
2 2997
 
5.0%
0 2515
 
4.2%
6 2077
 
3.5%
5 1804
 
3.0%
7 1614
 
2.7%
9 1117
 
1.9%
4 876
 
1.5%
Dash Punctuation
ValueCountFrequency (%)
- 886
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 60886
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 23721
39.0%
3 11706
19.2%
8 11573
19.0%
2 2997
 
4.9%
0 2515
 
4.1%
6 2077
 
3.4%
5 1804
 
3.0%
7 1614
 
2.7%
9 1117
 
1.8%
- 886
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 60886
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 23721
39.0%
3 11706
19.2%
8 11573
19.0%
2 2997
 
4.9%
0 2515
 
4.1%
6 2077
 
3.4%
5 1804
 
3.0%
7 1614
 
2.7%
9 1117
 
1.8%
- 886
 
1.5%

지번주소
Text

Distinct6390
Distinct (%)63.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-11T07:37:00.217891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length48
Mean length23.0398
Min length15

Characters and Unicode

Total characters230398
Distinct characters352
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

Unique4519 ?
Unique (%)45.2%

Sample

1st row서울특별시 중랑구 중화동 287-10
2nd row서울특별시 중랑구 상봉동 130-12번지
3rd row서울특별시 중랑구 묵동 175-6번지 지상1층
4th row서울특별시 중랑구 망우동 568-0번지
5th row서울특별시 중랑구 면목동 186-144번지
ValueCountFrequency (%)
서울특별시 10000
23.5%
중랑구 10000
23.5%
면목동 4087
 
9.6%
망우동 1489
 
3.5%
상봉동 1421
 
3.3%
중화동 1182
 
2.8%
묵동 1107
 
2.6%
신내동 715
 
1.7%
1층 307
 
0.7%
지상1층 241
 
0.6%
Other values (5958) 11924
28.1%
2024-05-11T07:37:01.467734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
40996
17.8%
중 11216
 
4.9%
1 10375
 
4.5%
동 10295
 
4.5%
시 10043
 
4.4%
서 10017
 
4.3%
구 10012
 
4.3%
랑 10010
 
4.3%
울 10008
 
4.3%
특 10000
 
4.3%
Other values (342) 97426
42.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 131373
57.0%
Decimal Number 48024
 
20.8%
Space Separator 40996
 
17.8%
Dash Punctuation 9628
 
4.2%
Uppercase Letter 155
 
0.1%
Other Punctuation 141
 
0.1%
Close Punctuation 30
 
< 0.1%
Open Punctuation 29
 
< 0.1%
Lowercase Letter 18
 
< 0.1%
Math Symbol 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
중 11216
 
8.5%
동 10295
 
7.8%
시 10043
 
7.6%
서 10017
 
7.6%
구 10012
 
7.6%
랑 10010
 
7.6%
울 10008
 
7.6%
특 10000
 
7.6%
별 10000
 
7.6%
지 8326
 
6.3%
Other values (296) 31446
23.9%
Uppercase Letter
ValueCountFrequency (%)
B 77
49.7%
A 15
 
9.7%
S 13
 
8.4%
C 11
 
7.1%
G 7
 
4.5%
L 7
 
4.5%
R 3
 
1.9%
K 3
 
1.9%
Y 2
 
1.3%
M 2
 
1.3%
Other values (9) 15
 
9.7%
Decimal Number
ValueCountFrequency (%)
1 10375
21.6%
3 5691
11.9%
2 5567
11.6%
4 5015
10.4%
0 4291
8.9%
6 4055
 
8.4%
5 4043
 
8.4%
7 3032
 
6.3%
8 3009
 
6.3%
9 2946
 
6.1%
Lowercase Letter
ValueCountFrequency (%)
e 5
27.8%
t 2
 
11.1%
k 2
 
11.1%
c 2
 
11.1%
n 2
 
11.1%
r 2
 
11.1%
s 2
 
11.1%
g 1
 
5.6%
Other Punctuation
ValueCountFrequency (%)
, 133
94.3%
& 5
 
3.5%
. 2
 
1.4%
? 1
 
0.7%
Space Separator
ValueCountFrequency (%)
40996
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9628
100.0%
Close Punctuation
ValueCountFrequency (%)
) 30
100.0%
Open Punctuation
ValueCountFrequency (%)
( 29
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 131373
57.0%
Common 98852
42.9%
Latin 173
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
중 11216
 
8.5%
동 10295
 
7.8%
시 10043
 
7.6%
서 10017
 
7.6%
구 10012
 
7.6%
랑 10010
 
7.6%
울 10008
 
7.6%
특 10000
 
7.6%
별 10000
 
7.6%
지 8326
 
6.3%
Other values (296) 31446
23.9%
Latin
ValueCountFrequency (%)
B 77
44.5%
A 15
 
8.7%
S 13
 
7.5%
C 11
 
6.4%
G 7
 
4.0%
L 7
 
4.0%
e 5
 
2.9%
R 3
 
1.7%
K 3
 
1.7%
t 2
 
1.2%
Other values (17) 30
 
17.3%
Common
ValueCountFrequency (%)
40996
41.5%
1 10375
 
10.5%
- 9628
 
9.7%
3 5691
 
5.8%
2 5567
 
5.6%
4 5015
 
5.1%
0 4291
 
4.3%
6 4055
 
4.1%
5 4043
 
4.1%
7 3032
 
3.1%
Other values (9) 6159
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 131373
57.0%
ASCII 99025
43.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
40996
41.4%
1 10375
 
10.5%
- 9628
 
9.7%
3 5691
 
5.7%
2 5567
 
5.6%
4 5015
 
5.1%
0 4291
 
4.3%
6 4055
 
4.1%
5 4043
 
4.1%
7 3032
 
3.1%
Other values (36) 6332
 
6.4%
Hangul
ValueCountFrequency (%)
중 11216
 
8.5%
동 10295
 
7.8%
시 10043
 
7.6%
서 10017
 
7.6%
구 10012
 
7.6%
랑 10010
 
7.6%
울 10008
 
7.6%
특 10000
 
7.6%
별 10000
 
7.6%
지 8326
 
6.3%
Other values (296) 31446
23.9%

도로명주소
Text

MISSING 

Distinct3934
Distinct (%)86.7%
Missing5462
Missing (%)54.6%
Memory size156.2 KiB
2024-05-11T07:37:02.102632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length71
Median length57
Mean length28.873733
Min length20

Characters and Unicode

Total characters131029
Distinct characters366
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

Unique3442 ?
Unique (%)75.8%

Sample

1st row서울특별시 중랑구 봉화산로 54, 1층 (중화동)
2nd row서울특별시 중랑구 공릉로 19, 1층 (묵동)
3rd row서울특별시 중랑구 망우로60길 6 (망우동)
4th row서울특별시 중랑구 망우로 203 (중화동,동양엔파트 128호)
5th row서울특별시 중랑구 봉화산로 24, 1층 (중화동)
ValueCountFrequency (%)
서울특별시 4538
17.2%
중랑구 4538
17.2%
1층 1740
 
6.6%
면목동 1616
 
6.1%
상봉동 650
 
2.5%
망우동 633
 
2.4%
묵동 520
 
2.0%
중화동 498
 
1.9%
신내동 335
 
1.3%
중랑역로 294
 
1.1%
Other values (1923) 11073
41.9%
2024-05-11T07:37:03.336274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
21906
 
16.7%
1 6262
 
4.8%
중 5640
 
4.3%
동 5460
 
4.2%
랑 5018
 
3.8%
시 4590
 
3.5%
서 4551
 
3.5%
) 4550
 
3.5%
( 4550
 
3.5%
구 4548
 
3.5%
Other values (356) 63954
48.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 75330
57.5%
Space Separator 21906
 
16.7%
Decimal Number 20866
 
15.9%
Close Punctuation 4550
 
3.5%
Open Punctuation 4550
 
3.5%
Other Punctuation 3208
 
2.4%
Dash Punctuation 400
 
0.3%
Uppercase Letter 186
 
0.1%
Lowercase Letter 19
 
< 0.1%
Math Symbol 14
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
중 5640
 
7.5%
동 5460
 
7.2%
랑 5018
 
6.7%
시 4590
 
6.1%
서 4551
 
6.0%
구 4548
 
6.0%
울 4543
 
6.0%
특 4538
 
6.0%
별 4538
 
6.0%
로 4535
 
6.0%
Other values (309) 27369
36.3%
Uppercase Letter
ValueCountFrequency (%)
B 74
39.8%
A 32
17.2%
S 24
 
12.9%
C 19
 
10.2%
R 8
 
4.3%
G 4
 
2.2%
L 4
 
2.2%
K 3
 
1.6%
D 2
 
1.1%
W 2
 
1.1%
Other values (8) 14
 
7.5%
Decimal Number
ValueCountFrequency (%)
1 6262
30.0%
2 2698
12.9%
3 2181
 
10.5%
4 1711
 
8.2%
5 1695
 
8.1%
0 1674
 
8.0%
6 1276
 
6.1%
9 1239
 
5.9%
7 1093
 
5.2%
8 1037
 
5.0%
Lowercase Letter
ValueCountFrequency (%)
e 5
26.3%
c 3
15.8%
k 2
 
10.5%
s 2
 
10.5%
n 2
 
10.5%
t 2
 
10.5%
r 2
 
10.5%
g 1
 
5.3%
Other Punctuation
ValueCountFrequency (%)
, 3198
99.7%
& 5
 
0.2%
@ 2
 
0.1%
? 1
 
< 0.1%
/ 1
 
< 0.1%
. 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
21906
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4550
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4550
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 400
100.0%
Math Symbol
ValueCountFrequency (%)
~ 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 75330
57.5%
Common 55494
42.4%
Latin 205
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
중 5640
 
7.5%
동 5460
 
7.2%
랑 5018
 
6.7%
시 4590
 
6.1%
서 4551
 
6.0%
구 4548
 
6.0%
울 4543
 
6.0%
특 4538
 
6.0%
별 4538
 
6.0%
로 4535
 
6.0%
Other values (309) 27369
36.3%
Latin
ValueCountFrequency (%)
B 74
36.1%
A 32
15.6%
S 24
 
11.7%
C 19
 
9.3%
R 8
 
3.9%
e 5
 
2.4%
G 4
 
2.0%
L 4
 
2.0%
c 3
 
1.5%
K 3
 
1.5%
Other values (16) 29
 
14.1%
Common
ValueCountFrequency (%)
21906
39.5%
1 6262
 
11.3%
) 4550
 
8.2%
( 4550
 
8.2%
, 3198
 
5.8%
2 2698
 
4.9%
3 2181
 
3.9%
4 1711
 
3.1%
5 1695
 
3.1%
0 1674
 
3.0%
Other values (11) 5069
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 75330
57.5%
ASCII 55699
42.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
21906
39.3%
1 6262
 
11.2%
) 4550
 
8.2%
( 4550
 
8.2%
, 3198
 
5.7%
2 2698
 
4.8%
3 2181
 
3.9%
4 1711
 
3.1%
5 1695
 
3.0%
0 1674
 
3.0%
Other values (37) 5274
 
9.5%
Hangul
ValueCountFrequency (%)
중 5640
 
7.5%
동 5460
 
7.2%
랑 5018
 
6.7%
시 4590
 
6.1%
서 4551
 
6.0%
구 4548
 
6.0%
울 4543
 
6.0%
특 4538
 
6.0%
별 4538
 
6.0%
로 4535
 
6.0%
Other values (309) 27369
36.3%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct242
Distinct (%)5.4%
Missing5538
Missing (%)55.4%
Infinite0
Infinite (%)0.0%
Mean2131.9615
Minimum2001
Maximum2262
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T07:37:03.768122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2001
5-th percentile2010
Q12069
median2138
Q32192
95-th percentile2244
Maximum2262
Range261
Interquartile range (IQR)123

Descriptive statistics

Standard deviation73.602161
Coefficient of variation (CV)0.034523214
Kurtosis-1.0957245
Mean2131.9615
Median Absolute Deviation (MAD)63
Skewness-0.1452765
Sum9512812
Variance5417.278
MonotonicityNot monotonic
2024-05-11T07:37:04.237993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2228 97
 
1.0%
2163 75
 
0.8%
2033 69
 
0.7%
2120 68
 
0.7%
2067 63
 
0.6%
2161 57
 
0.6%
2149 57
 
0.6%
2153 53
 
0.5%
2024 52
 
0.5%
2162 50
 
0.5%
Other values (232) 3821
38.2%
(Missing) 5538
55.4%
ValueCountFrequency (%)
2001 12
 
0.1%
2002 15
 
0.1%
2003 18
 
0.2%
2004 18
 
0.2%
2005 26
0.3%
2006 45
0.4%
2007 28
0.3%
2008 11
 
0.1%
2009 25
0.2%
2010 29
0.3%
ValueCountFrequency (%)
2262 5
 
0.1%
2261 1
 
< 0.1%
2260 3
 
< 0.1%
2259 3
 
< 0.1%
2258 1
 
< 0.1%
2257 9
0.1%
2256 1
 
< 0.1%
2255 17
0.2%
2254 1
 
< 0.1%
2253 20
0.2%

사업장명
Text

Distinct8411
Distinct (%)84.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-11T07:37:04.943057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length32
Mean length5.284
Min length1

Characters and Unicode

Total characters52840
Distinct characters1054
Distinct categories13 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7537 ?
Unique (%)75.4%

Sample

1st row찬찬찬
2nd row종로빈대떡
3rd row아리아호프
4th row동국왕족발
5th row씨티칸
ValueCountFrequency (%)
상봉점 53
 
0.5%
면목점 37
 
0.3%
중랑점 35
 
0.3%
신내점 31
 
0.3%
진미식당 26
 
0.2%
전주식당 22
 
0.2%
실내포장마차 22
 
0.2%
망우점 21
 
0.2%
묵동점 16
 
0.1%
호남식당 15
 
0.1%
Other values (8732) 10869
97.5%
2024-05-11T07:37:06.218291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
식 1470
 
2.8%
1148
 
2.2%
당 1126
 
2.1%
이 1060
 
2.0%
리 781
 
1.5%
점 741
 
1.4%
치 644
 
1.2%
스 634
 
1.2%
마 633
 
1.2%
호 614
 
1.2%
Other values (1044) 43989
83.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 48957
92.7%
Space Separator 1148
 
2.2%
Uppercase Letter 710
 
1.3%
Lowercase Letter 625
 
1.2%
Decimal Number 506
 
1.0%
Close Punctuation 341
 
0.6%
Open Punctuation 340
 
0.6%
Other Punctuation 193
 
0.4%
Dash Punctuation 11
 
< 0.1%
Math Symbol 6
 
< 0.1%
Other values (3) 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
식 1470
 
3.0%
당 1126
 
2.3%
이 1060
 
2.2%
리 781
 
1.6%
점 741
 
1.5%
치 644
 
1.3%
스 634
 
1.3%
마 633
 
1.3%
호 614
 
1.3%
프 597
 
1.2%
Other values (964) 40657
83.0%
Uppercase Letter
ValueCountFrequency (%)
A 62
 
8.7%
B 62
 
8.7%
O 61
 
8.6%
E 48
 
6.8%
M 45
 
6.3%
C 40
 
5.6%
T 39
 
5.5%
S 36
 
5.1%
N 36
 
5.1%
L 31
 
4.4%
Other values (16) 250
35.2%
Lowercase Letter
ValueCountFrequency (%)
e 97
15.5%
o 62
 
9.9%
a 57
 
9.1%
f 41
 
6.6%
r 38
 
6.1%
c 37
 
5.9%
i 32
 
5.1%
n 31
 
5.0%
l 27
 
4.3%
s 24
 
3.8%
Other values (15) 179
28.6%
Decimal Number
ValueCountFrequency (%)
0 89
17.6%
1 85
16.8%
2 81
16.0%
9 52
10.3%
7 37
7.3%
4 37
7.3%
8 36
7.1%
3 35
 
6.9%
5 33
 
6.5%
6 21
 
4.2%
Other Punctuation
ValueCountFrequency (%)
& 66
34.2%
. 56
29.0%
, 25
 
13.0%
? 23
 
11.9%
' 9
 
4.7%
! 7
 
3.6%
＆ 4
 
2.1%
# 2
 
1.0%
; 1
 
0.5%
Math Symbol
ValueCountFrequency (%)
+ 3
50.0%
÷ 2
33.3%
~ 1
 
16.7%
Space Separator
ValueCountFrequency (%)
1148
100.0%
Close Punctuation
ValueCountFrequency (%)
) 341
100.0%
Open Punctuation
ValueCountFrequency (%)
( 340
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 48936
92.6%
Common 2547
 
4.8%
Latin 1336
 
2.5%
Han 21
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
식 1470
 
3.0%
당 1126
 
2.3%
이 1060
 
2.2%
리 781
 
1.6%
점 741
 
1.5%
치 644
 
1.3%
스 634
 
1.3%
마 633
 
1.3%
호 614
 
1.3%
프 597
 
1.2%
Other values (949) 40636
83.0%
Latin
ValueCountFrequency (%)
e 97
 
7.3%
A 62
 
4.6%
o 62
 
4.6%
B 62
 
4.6%
O 61
 
4.6%
a 57
 
4.3%
E 48
 
3.6%
M 45
 
3.4%
f 41
 
3.1%
C 40
 
3.0%
Other values (42) 761
57.0%
Common
ValueCountFrequency (%)
1148
45.1%
) 341
 
13.4%
( 340
 
13.3%
0 89
 
3.5%
1 85
 
3.3%
2 81
 
3.2%
& 66
 
2.6%
. 56
 
2.2%
9 52
 
2.0%
7 37
 
1.5%
Other values (18) 252
 
9.9%
Han
ValueCountFrequency (%)
辛 4
19.0%
酒 2
 
9.5%
味 2
 
9.5%
家 2
 
9.5%
神 1
 
4.8%
黃 1
 
4.8%
師 1
 
4.8%
傅 1
 
4.8%
大 1
 
4.8%
愛 1
 
4.8%
Other values (5) 5
23.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 48934
92.6%
ASCII 3876
 
7.3%
CJK 21
 
< 0.1%
None 6
 
< 0.1%
Compat Jamo 2
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
식 1470
 
3.0%
당 1126
 
2.3%
이 1060
 
2.2%
리 781
 
1.6%
점 741
 
1.5%
치 644
 
1.3%
스 634
 
1.3%
마 633
 
1.3%
호 614
 
1.3%
프 597
 
1.2%
Other values (948) 40634
83.0%
ASCII
ValueCountFrequency (%)
1148
29.6%
) 341
 
8.8%
( 340
 
8.8%
e 97
 
2.5%
0 89
 
2.3%
1 85
 
2.2%
2 81
 
2.1%
& 66
 
1.7%
A 62
 
1.6%
o 62
 
1.6%
Other values (67) 1505
38.8%
None
ValueCountFrequency (%)
＆ 4
66.7%
÷ 2
33.3%
CJK
ValueCountFrequency (%)
辛 4
19.0%
酒 2
 
9.5%
味 2
 
9.5%
家 2
 
9.5%
神 1
 
4.8%
黃 1
 
4.8%
師 1
 
4.8%
傅 1
 
4.8%
大 1
 
4.8%
愛 1
 
4.8%
Other values (5) 5
23.8%
Compat Jamo
ValueCountFrequency (%)
ㅎ 2
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

최종수정일자
Date

Distinct6432
Distinct (%)64.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum1999-01-13 00:00:00
Maximum2024-05-09 17:37:25
2024-05-11T07:37:06.669840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:37:07.617060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
I
7792 
U
2208 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowU
2nd rowI
3rd rowI
4th rowI
5th rowI

Common Values

ValueCountFrequency (%)
I 7792
77.9%
U 2208
 
22.1%

Length

2024-05-11T07:37:08.235548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:37:08.609672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 7792
77.9%
u 2208
 
22.1%

데이터갱신일자
Date

Distinct1223
Distinct (%)12.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:09:00
2024-05-11T07:37:09.080306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:37:09.761947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

Distinct21
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
한식
4252 
분식
2233 
호프/통닭
1156 
기타
537 
경양식
 
408
Other values (16)
1414 

Length

Max length15
Median length2
Mean length2.8235
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row분식
2nd row한식
3rd row호프/통닭
4th row한식
5th row분식

Common Values

ValueCountFrequency (%)
한식 4252
42.5%
분식 2233
22.3%
호프/통닭 1156
 
11.6%
기타 537
 
5.4%
경양식 408
 
4.1%
정종/대포집/소주방 299
 
3.0%
일식 281
 
2.8%
중국식 253
 
2.5%
통닭(치킨) 215
 
2.1%
패스트푸드 104
 
1.0%
Other values (11) 262
 
2.6%

Length

2024-05-11T07:37:10.200493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
한식 4252
42.5%
분식 2233
22.3%
호프/통닭 1156
 
11.6%
기타 537
 
5.4%
경양식 408
 
4.1%
정종/대포집/소주방 299
 
3.0%
일식 281
 
2.8%
중국식 253
 
2.5%
통닭(치킨 215
 
2.1%
패스트푸드 104
 
1.0%
Other values (11) 262
 
2.6%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct4052
Distinct (%)42.0%
Missing361
Missing (%)3.6%
Infinite0
Infinite (%)0.0%
Mean207590.22
Minimum206207.46
Maximum209980.56
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T07:37:10.677688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum206207.46
5-th percentile206566.81
Q1206860.01
median207564.83
Q3208203.17
95-th percentile208863.94
Maximum209980.56
Range3773.1017
Interquartile range (IQR)1343.1604

Descriptive statistics

Standard deviation767.94088
Coefficient of variation (CV)0.0036993114
Kurtosis-0.85878555
Mean207590.22
Median Absolute Deviation (MAD)675.71193
Skewness0.34570926
Sum2.0009622 × 109
Variance589733.2
MonotonicityNot monotonic
2024-05-11T07:37:11.688385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
207990.479257211 45
 
0.4%
208295.099818379 43
 
0.4%
206777.731391054 29
 
0.3%
206771.217305763 24
 
0.2%
208267.592391698 20
 
0.2%
206783.484843694 20
 
0.2%
208294.31154469 18
 
0.2%
206492.087474895 18
 
0.2%
208112.860200669 18
 
0.2%
207923.745922676 17
 
0.2%
Other values (4042) 9387
93.9%
(Missing) 361
 
3.6%
ValueCountFrequency (%)
206207.463184618 1
 
< 0.1%
206229.131450138 1
 
< 0.1%
206237.249123658 1
 
< 0.1%
206242.730660891 1
 
< 0.1%
206260.465161147 1
 
< 0.1%
206264.85197789 1
 
< 0.1%
206270.96670005 2
< 0.1%
206273.05830197 1
 
< 0.1%
206276.596480576 1
 
< 0.1%
206284.507804641 4
< 0.1%
ValueCountFrequency (%)
209980.564839964 1
 
< 0.1%
209931.172836 3
< 0.1%
209856.1161416 1
 
< 0.1%
209797.760188391 5
0.1%
209644.308531451 1
 
< 0.1%
209611.159654036 1
 
< 0.1%
209564.715182122 1
 
< 0.1%
209521.169706304 4
< 0.1%
209519.890499435 1
 
< 0.1%
209513.190736541 1
 
< 0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct4052
Distinct (%)42.0%
Missing361
Missing (%)3.6%
Infinite0
Infinite (%)0.0%
Mean454683.99
Minimum452077.78
Maximum457702.63
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T07:37:12.416007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum452077.78
5-th percentile452824.06
Q1453913.7
median454629.39
Q3455414.28
95-th percentile456878.32
Maximum457702.63
Range5624.8483
Interquartile range (IQR)1500.5869

Descriptive statistics

Standard deviation1167.3657
Coefficient of variation (CV)0.0025674221
Kurtosis-0.41411607
Mean454683.99
Median Absolute Deviation (MAD)756.97574
Skewness0.18505675
Sum4.382699 × 109
Variance1362742.7
MonotonicityNot monotonic
2024-05-11T07:37:13.008715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
457183.637796144 45
 
0.4%
456014.999180519 43
 
0.4%
456837.219624564 29
 
0.3%
455221.989517331 24
 
0.2%
455042.983909137 20
 
0.2%
456010.458851256 20
 
0.2%
455843.287574845 18
 
0.2%
454508.605124002 18
 
0.2%
457113.638411288 18
 
0.2%
455090.718335439 17
 
0.2%
Other values (4042) 9387
93.9%
(Missing) 361
 
3.6%
ValueCountFrequency (%)
452077.782812274 1
 
< 0.1%
452081.666398687 1
 
< 0.1%
452087.622906702 3
< 0.1%
452101.45277602 1
 
< 0.1%
452102.965513448 1
 
< 0.1%
452113.435570628 2
 
< 0.1%
452121.046249861 2
 
< 0.1%
452121.823568393 2
 
< 0.1%
452127.833751152 5
0.1%
452131.289461027 3
< 0.1%
ValueCountFrequency (%)
457702.631123 5
0.1%
457511.137973201 1
 
< 0.1%
457500.72629784 1
 
< 0.1%
457482.82473114 3
< 0.1%
457465.83066498 1
 
< 0.1%
457462.766652935 4
< 0.1%
457462.0 1
 
< 0.1%
457446.479605 3
< 0.1%
457438.909754748 7
0.1%
457409.957935464 1
 
< 0.1%

위생업태명
Categorical

Distinct21
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
한식
3711 
분식
2159 
<NA>
1309 
호프/통닭
984 
경양식
376 
Other values (16)
1461 

Length

Max length15
Median length2
Mean length2.951
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row한식
3rd row호프/통닭
4th row한식
5th row분식

Common Values

ValueCountFrequency (%)
한식 3711
37.1%
분식 2159
21.6%
<NA> 1309
 
13.1%
호프/통닭 984
 
9.8%
경양식 376
 
3.8%
기타 274
 
2.7%
정종/대포집/소주방 245
 
2.5%
일식 224
 
2.2%
중국식 218
 
2.2%
통닭(치킨) 198
 
2.0%
Other values (11) 302
 
3.0%

Length

2024-05-11T07:37:13.811471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
한식 3711
37.1%
분식 2159
21.6%
na 1309
 
13.1%
호프/통닭 984
 
9.8%
경양식 376
 
3.8%
기타 274
 
2.7%
정종/대포집/소주방 245
 
2.5%
일식 224
 
2.2%
중국식 218
 
2.2%
통닭(치킨 198
 
2.0%
Other values (11) 302
 
3.0%

남성종사자수
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)0.1%
Missing3438
Missing (%)34.4%
Infinite0
Infinite (%)0.0%
Mean0.31636696
Minimum0
Maximum9
Zeros4844
Zeros (%)48.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T07:37:14.296929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.61644662
Coefficient of variation (CV)1.9485177
Kurtosis18.166275
Mean0.31636696
Median Absolute Deviation (MAD)0
Skewness3.0458766
Sum2076
Variance0.38000643
MonotonicityNot monotonic
2024-05-11T07:37:14.774821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 4844
48.4%
1 1459
 
14.6%
2 201
 
2.0%
3 39
 
0.4%
4 7
 
0.1%
5 6
 
0.1%
6 4
 
< 0.1%
7 1
 
< 0.1%
9 1
 
< 0.1%
(Missing) 3438
34.4%
ValueCountFrequency (%)
0 4844
48.4%
1 1459
 
14.6%
2 201
 
2.0%
3 39
 
0.4%
4 7
 
0.1%
5 6
 
0.1%
6 4
 
< 0.1%
7 1
 
< 0.1%
9 1
 
< 0.1%
ValueCountFrequency (%)
9 1
 
< 0.1%
7 1
 
< 0.1%
6 4
 
< 0.1%
5 6
 
0.1%
4 7
 
0.1%
3 39
 
0.4%
2 201
 
2.0%
1 1459
 
14.6%
0 4844
48.4%

여성종사자수
Real number (ℝ)

MISSING  ZEROS 

Distinct11
Distinct (%)0.2%
Missing3322
Missing (%)33.2%
Infinite0
Infinite (%)0.0%
Mean0.62908056
Minimum0
Maximum11
Zeros3504
Zeros (%)35.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T07:37:15.244292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum11
Range11
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.81179641
Coefficient of variation (CV)1.290449
Kurtosis11.790865
Mean0.62908056
Median Absolute Deviation (MAD)0
Skewness2.1002899
Sum4201
Variance0.65901341
MonotonicityNot monotonic
2024-05-11T07:37:15.789867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 3504
35.0%
1 2366
23.7%
2 666
 
6.7%
3 107
 
1.1%
4 16
 
0.2%
5 10
 
0.1%
6 4
 
< 0.1%
7 2
 
< 0.1%
10 1
 
< 0.1%
11 1
 
< 0.1%
(Missing) 3322
33.2%
ValueCountFrequency (%)
0 3504
35.0%
1 2366
23.7%
2 666
 
6.7%
3 107
 
1.1%
4 16
 
0.2%
5 10
 
0.1%
6 4
 
< 0.1%
7 2
 
< 0.1%
9 1
 
< 0.1%
10 1
 
< 0.1%
ValueCountFrequency (%)
11 1
 
< 0.1%
10 1
 
< 0.1%
9 1
 
< 0.1%
7 2
 
< 0.1%
6 4
 
< 0.1%
5 10
 
0.1%
4 16
 
0.2%
3 107
 
1.1%
2 666
 
6.7%
1 2366
23.7%

영업장주변구분명
Categorical

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
4702 
주택가주변
3794 
기타
1257 
아파트지역
 
138
유흥업소밀집지역
 
62
Other values (3)
 
47

Length

Max length8
Median length7
Mean length4.1827
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 4702
47.0%
주택가주변 3794
37.9%
기타 1257
 
12.6%
아파트지역 138
 
1.4%
유흥업소밀집지역 62
 
0.6%
결혼예식장주변 27
 
0.3%
학교정화(상대) 15
 
0.1%
학교정화(절대) 5
 
0.1%

Length

2024-05-11T07:37:16.245703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:37:16.668281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4702
47.0%
주택가주변 3794
37.9%
기타 1257
 
12.6%
아파트지역 138
 
1.4%
유흥업소밀집지역 62
 
0.6%
결혼예식장주변 27
 
0.3%
학교정화(상대 15
 
0.1%
학교정화(절대 5
 
< 0.1%

등급구분명
Categorical

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
5285 
기타
3227 
자율
 
464
을
 
453
지도
 
301
Other values (3)
 
270

Length

Max length4
Median length4
Mean length3.0041
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 5285
52.8%
기타 3227
32.3%
자율 464
 
4.6%
을 453
 
4.5%
지도 301
 
3.0%
관리 192
 
1.9%
갑 76
 
0.8%
우수 2
 
< 0.1%

Length

2024-05-11T07:37:17.226057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:37:17.744254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5285
52.8%
기타 3227
32.3%
자율 464
 
4.6%
을 453
 
4.5%
지도 301
 
3.0%
관리 192
 
1.9%
갑 76
 
0.8%
우수 2
 
< 0.1%

급수시설구분명
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
상수도전용
7017 
<NA>
2966 
상수도(음용)지하수(주방용)겸용
 
12
지하수전용
 
3
간이상수도
 
2

Length

Max length17
Median length5
Mean length4.7178
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
상수도전용 7017
70.2%
<NA> 2966
29.7%
상수도(음용)지하수(주방용)겸용 12
 
0.1%
지하수전용 3
 
< 0.1%
간이상수도 2
 
< 0.1%

Length

2024-05-11T07:37:18.116429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:37:18.583848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
상수도전용 7017
70.2%
na 2966
29.7%
상수도(음용)지하수(주방용)겸용 12
 
0.1%
지하수전용 3
 
< 0.1%
간이상수도 2
 
< 0.1%

총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9693 
0
 
307

Length

Max length4
Median length4
Mean length3.9079
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 9693
96.9%
0 307
 
3.1%

Length

2024-05-11T07:37:19.147705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:37:19.538085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9693
96.9%
0 307
 
3.1%

본사종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9692 
0
 
308

Length

Max length4
Median length4
Mean length3.9076
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 9692
96.9%
0 308
 
3.1%

Length

2024-05-11T07:37:19.930396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:37:20.340081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9692
96.9%
0 308
 
3.1%

공장사무직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9692 
0
 
308

Length

Max length4
Median length4
Mean length3.9076
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 9692
96.9%
0 308
 
3.1%

Length

2024-05-11T07:37:20.820989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:37:21.181231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9692
96.9%
0 308
 
3.1%

공장판매직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9692 
0
 
308

Length

Max length4
Median length4
Mean length3.9076
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 9692
96.9%
0 308
 
3.1%

Length

2024-05-11T07:37:21.764110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:37:22.183026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9692
96.9%
0 308
 
3.1%

공장생산직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9692 
0
 
308

Length

Max length4
Median length4
Mean length3.9076
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 9692
96.9%
0 308
 
3.1%

Length

2024-05-11T07:37:22.755598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:37:23.112044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9692
96.9%
0 308
 
3.1%

건물소유구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

보증액
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9692 
0
 
308

Length

Max length4
Median length4
Mean length3.9076
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 9692
96.9%
0 308
 
3.1%

Length

2024-05-11T07:37:23.612286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:37:23.949998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9692
96.9%
0 308
 
3.1%

월세액
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9692 
0
 
308

Length

Max length4
Median length4
Mean length3.9076
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 9692
96.9%
0 308
 
3.1%

Length

2024-05-11T07:37:24.594851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:37:25.013257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9692
96.9%
0 308
 
3.1%

다중이용업소여부
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)< 0.1%
Missing1309
Missing (%)13.1%
Memory size97.7 KiB
False
8639 
True
 
52
(Missing)
1309 
ValueCountFrequency (%)
False 8639
86.4%
True 52
 
0.5%
(Missing) 1309
 
13.1%
2024-05-11T07:37:25.379742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

MISSING 

Distinct4113
Distinct (%)47.3%
Missing1309
Missing (%)13.1%
Infinite0
Infinite (%)0.0%
Mean49.548116
Minimum0
Maximum1912.94
Zeros32
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T07:37:25.814039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile15
Q122.5
median30.9
Q356.155
95-th percentile131.78
Maximum1912.94
Range1912.94
Interquartile range (IQR)33.655

Descriptive statistics

Standard deviation66.560319
Coefficient of variation (CV)1.3433471
Kurtosis191.4499
Mean49.548116
Median Absolute Deviation (MAD)11.66
Skewness10.577969
Sum430622.68
Variance4430.2761
MonotonicityNot monotonic
2024-05-11T07:37:26.674710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
33.0 93
 
0.9%
26.4 63
 
0.6%
23.1 49
 
0.5%
30.0 47
 
0.5%
20.0 40
 
0.4%
21.0 34
 
0.3%
24.0 32
 
0.3%
0.0 32
 
0.3%
25.0 31
 
0.3%
16.5 28
 
0.3%
Other values (4103) 8242
82.4%
(Missing) 1309
 
13.1%
ValueCountFrequency (%)
0.0 32
0.3%
2.1 1
 
< 0.1%
3.0 1
 
< 0.1%
3.3 2
 
< 0.1%
3.4 1
 
< 0.1%
4.07 1
 
< 0.1%
4.95 1
 
< 0.1%
5.0 1
 
< 0.1%
5.46 1
 
< 0.1%
6.6 2
 
< 0.1%
ValueCountFrequency (%)
1912.94 1
< 0.1%
1653.22 1
< 0.1%
1451.3 1
< 0.1%
1236.48 1
< 0.1%
1059.76 1
< 0.1%
1055.04 1
< 0.1%
1025.15 1
< 0.1%
989.32 1
< 0.1%
968.93 1
< 0.1%
924.75 1
< 0.1%

전통업소지정번호
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing9999
Missing (%)> 99.9%
Memory size156.2 KiB
2024-05-11T07:37:26.953014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters5
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row-----
ValueCountFrequency (%)
1
100.0%
2024-05-11T07:37:27.744170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 5
100.0%

Most occurring categories

ValueCountFrequency (%)
Dash Punctuation 5
100.0%

Most frequent character per category

Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 5
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 5
100.0%

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
1521730600003060000-101-2019-0020220190826<NA>3폐업2폐업20220801<NA><NA><NA><NA>27.00131876서울특별시 중랑구 중화동 287-10서울특별시 중랑구 봉화산로 54, 1층 (중화동)2088찬찬찬2022-08-01 11:20:59U2021-12-08 00:03:00.0분식207028.138956455464.032609<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
895330600003060000-101-2002-0064820021113<NA>3폐업2폐업20030603<NA><NA><NA><NA>32.85131861서울특별시 중랑구 상봉동 130-12번지<NA><NA>종로빈대떡2002-11-13 00:00:00I2018-08-31 23:59:59.0한식206660.122271454523.332852한식<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N32.85<NA><NA><NA>
1346430600003060000-101-2014-0000620140109<NA>3폐업2폐업20170118<NA><NA><NA><NA>26.96131848서울특별시 중랑구 묵동 175-6번지 지상1층서울특별시 중랑구 공릉로 19, 1층 (묵동)2033아리아호프2014-01-09 11:49:48I2018-08-31 23:59:59.0호프/통닭206793.553299456693.786997호프/통닭<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N26.96<NA><NA><NA>
101830600003060000-101-1989-0419219890422<NA>1영업/정상1영업<NA><NA><NA><NA>020495766320.15131810서울특별시 중랑구 망우동 568-0번지서울특별시 중랑구 망우로60길 6 (망우동)2163동국왕족발2015-01-08 11:15:02I2018-08-31 23:59:59.0한식208324.349612455119.507341한식11주택가주변을상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N20.15<NA><NA><NA>
423730600003060000-101-1995-0561719951214<NA>3폐업2폐업19971216<NA><NA><NA>02 491463726.95131823서울특별시 중랑구 면목동 186-144번지<NA><NA>씨티칸2001-09-28 00:00:00I2018-08-31 23:59:59.0분식206519.137566454391.22437분식01기타기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N26.95<NA><NA><NA>
1261030600003060000-101-2011-0001420110131<NA>3폐업2폐업20121203<NA><NA><NA>02 432 990259.77131878서울특별시 중랑구 중화동 208-33번지 동양엔파트 128호서울특별시 중랑구 망우로 203 (중화동,동양엔파트 128호)2116푸드카페중랑역점2011-01-31 15:24:41I2018-08-31 23:59:59.0분식206556.148986454633.631797분식<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N59.77<NA><NA><NA>
127230600003060000-101-1990-0332319901206<NA>3폐업2폐업20010725<NA><NA><NA>02 4911625103.91131816서울특별시 중랑구 면목동 102-18번지<NA><NA>십팔번가2001-07-25 00:00:00I2018-08-31 23:59:59.0경양식207703.810793454049.274671경양식21주택가주변기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N103.91<NA><NA><NA>
598530600003060000-101-1998-0649719981109<NA>3폐업2폐업19981231<NA><NA><NA>02 20917419.50131868서울특별시 중랑구 신내동 493-124번지<NA><NA>진흥구이2001-09-28 00:00:00I2018-08-31 23:59:59.0분식208726.330826455458.718674분식<NA>1주택가주변기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N9.5<NA><NA><NA>
1039430600003060000-101-2005-0005720050309<NA>3폐업2폐업20051010<NA><NA><NA>02 492196019.84131804서울특별시 중랑구 망우동 356-27번지<NA><NA>김밥천사2005-03-09 00:00:00I2018-08-31 23:59:59.0김밥(도시락)208899.735403455403.070424김밥(도시락)00<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N19.84<NA><NA><NA>
685330600003060000-101-1999-0892619991207<NA>3폐업2폐업20020325<NA><NA><NA>023421258423.40131865서울특별시 중랑구 신내동 666-0번지 신아타운 603호<NA><NA>손칼국수평양만두1999-12-14 00:00:00I2018-08-31 23:59:59.0분식208295.099818456014.999181분식00기타기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N23.4<NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
576830600003060000-101-1998-0627819980331<NA>3폐업2폐업20020430<NA><NA><NA>02 49560618.63131821서울특별시 중랑구 면목동 150-17번지<NA><NA>소풍가는날2001-09-28 00:00:00I2018-08-31 23:59:59.0분식207095.401117453830.0516분식<NA>2주택가주변자율상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N8.63<NA><NA><NA>
1679430600003060000-101-2024-000602024-03-15<NA>1영업/정상1영업<NA><NA><NA><NA><NA>79.0131-859서울특별시 중랑구 상봉동 104-101 3층서울특별시 중랑구 봉우재로33길 31, 3층 (상봉동)2154주포차2024-03-15 10:10:08I2023-12-02 23:07:00.0한식207667.100266454642.976985<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1237830600003060000-101-2010-0008420100428<NA>1영업/정상1영업<NA><NA><NA><NA>02 977 353398.71131848서울특별시 중랑구 묵동 171-4 공감대아파트상가 B04호서울특별시 중랑구 공릉로 32 (묵동,공감대아파트상가 B04호)2034백선부대솥삼겹2021-12-24 11:53:17U2021-12-26 02:40:00.0한식206844.725438456811.751185한식<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N98.71<NA><NA><NA>
933230600003060000-101-2003-0028520030612<NA>3폐업2폐업20031113<NA><NA><NA>02 436489652.68131811서울특별시 중랑구 면목동 17-8번지<NA><NA>시골보리밥2003-06-12 00:00:00I2018-08-31 23:59:59.0한식208536.37983454114.295771한식01주택가주변<NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N52.68<NA><NA><NA>
440830600003060000-101-1996-0218419960710<NA>3폐업2폐업20050311<NA><NA><NA>02 436579416.57131809서울특별시 중랑구 망우동 461-30번지<NA><NA>늘사랑2002-06-18 00:00:00I2018-08-31 23:59:59.0한식208631.48839454798.79464한식00주택가주변기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N16.57<NA><NA><NA>
20930600003060000-101-1983-0291819830104<NA>3폐업2폐업19930401<NA><NA><NA>020973442696.19131851서울특별시 중랑구 묵동 238-12번지<NA><NA>선비촌2001-09-28 00:00:00I2018-08-31 23:59:59.0경양식206718.808215456678.191105경양식10주택가주변지도상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N96.19<NA><NA><NA>
469730600003060000-101-1996-0575419960507<NA>3폐업2폐업20040623<NA><NA><NA>02 433953771.97131810서울특별시 중랑구 망우동 490-7번지<NA><NA>딤플2002-06-18 00:00:00I2018-08-31 23:59:59.0분식208430.649475455155.580573분식11주택가주변기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N71.97<NA><NA><NA>
17130600003060000-101-1983-0112119830912<NA>3폐업2폐업20001031<NA><NA><NA>02 435083117.67131821서울특별시 중랑구 면목동 150-7번지<NA><NA>한밭돼지갈비2000-10-31 00:00:00I2018-08-31 23:59:59.0한식207073.499282453813.827836한식02주택가주변을상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N17.67<NA><NA><NA>
1269430600003060000-101-2011-0009820110513<NA>3폐업2폐업20121231<NA><NA><NA><NA>23.00131823서울특별시 중랑구 면목동 182-4번지서울특별시 중랑구 봉우재로 39 (면목동)2128시장식품2011-05-13 17:11:52I2018-08-31 23:59:59.0한식206776.60994454271.291741한식<NA><NA>기타<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N23.0<NA><NA><NA>
332430600003060000-101-1994-0394319940309<NA>3폐업2폐업19990123<NA><NA><NA>0218.02131880서울특별시 중랑구 중화동 318-6번지<NA><NA>바이타임중화4점2001-09-28 00:00:00I2018-08-31 23:59:59.0분식206561.124575454944.762388분식11기타기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N18.02<NA><NA><NA>