Overview

Dataset statistics

Number of variables44
Number of observations10000
Missing cells99866
Missing cells (%)22.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.7 MiB
Average record size in memory384.0 B

Variable types

Categorical19
Text6
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
Author성북구
URLhttps://data.seoul.go.kr/dataList/OA-18659/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
총인원 is highly imbalanced (78.6%)Imbalance
본사종업원수 is highly imbalanced (78.4%)Imbalance
공장사무직종업원수 is highly imbalanced (78.4%)Imbalance
공장판매직종업원수 is highly imbalanced (78.4%)Imbalance
공장생산직종업원수 is highly imbalanced (78.4%)Imbalance
보증액 is highly imbalanced (78.4%)Imbalance
월세액 is highly imbalanced (78.4%)Imbalance
다중이용업소여부 is highly imbalanced (86.1%)Imbalance
전통업소주된음식 is highly imbalanced (99.9%)Imbalance
인허가취소일자 has 10000 (100.0%) missing valuesMissing
폐업일자 has 2306 (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 3200 (32.0%) missing valuesMissing
소재지면적 has 1267 (12.7%) missing valuesMissing
도로명주소 has 5230 (52.3%) missing valuesMissing
도로명우편번호 has 5415 (54.1%) missing valuesMissing
좌표정보(X) has 627 (6.3%) missing valuesMissing
좌표정보(Y) has 627 (6.3%) missing valuesMissing
남성종사자수 has 4107 (41.1%) missing valuesMissing
여성종사자수 has 3963 (39.6%) missing valuesMissing
건물소유구분명 has 10000 (100.0%) missing valuesMissing
다중이용업소여부 has 1562 (15.6%) missing valuesMissing
시설총규모 has 1562 (15.6%) missing valuesMissing
전통업소지정번호 has 10000 (100.0%) missing valuesMissing
홈페이지 has 10000 (100.0%) missing valuesMissing
남성종사자수 is highly skewed (γ1 = 45.47681439)Skewed
여성종사자수 is highly skewed (γ1 = 37.91215918)Skewed
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
전통업소지정번호 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 4235 (42.4%) zerosZeros
여성종사자수 has 3294 (32.9%) zerosZeros
시설총규모 has 1266 (12.7%) zerosZeros

Reproduction

Analysis started2024-05-11 05:35:28.638778
Analysis finished2024-05-11 05:35:32.519687
Duration3.88 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
3070000
10000 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3070000
2nd row3070000
3rd row3070000
4th row3070000
5th row3070000

Common Values

ValueCountFrequency (%)
3070000 10000
100.0%

Length

2024-05-11T14:35:32.640800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:35:32.840908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3070000 10000
100.0%

관리번호
Text

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-11T14:35:33.221919image/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 row3070000-101-2000-10051
2nd row3070000-101-2008-00077
3rd row3070000-101-1996-02210
4th row3070000-101-2022-00154
5th row3070000-101-2006-00113
ValueCountFrequency (%)
3070000-101-2000-10051 1
 
< 0.1%
3070000-101-2005-00435 1
 
< 0.1%
3070000-101-2021-00031 1
 
< 0.1%
3070000-101-1999-09643 1
 
< 0.1%
3070000-101-2008-00184 1
 
< 0.1%
3070000-101-1993-04475 1
 
< 0.1%
3070000-101-2023-00213 1
 
< 0.1%
3070000-101-2023-00266 1
 
< 0.1%
3070000-101-1998-06571 1
 
< 0.1%
3070000-101-2003-00632 1
 
< 0.1%
Other values (9990) 9990
99.9%
2024-05-11T14:35:33.930838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 89366
40.6%
1 32590
 
14.8%
- 30000
 
13.6%
3 15007
 
6.8%
7 13539
 
6.2%
2 12395
 
5.6%
9 10963
 
5.0%
4 4365
 
2.0%
5 3991
 
1.8%
6 3904
 
1.8%

Most occurring categories

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

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 89366
47.0%
1 32590
 
17.2%
3 15007
 
7.9%
7 13539
 
7.1%
2 12395
 
6.5%
9 10963
 
5.8%
4 4365
 
2.3%
5 3991
 
2.1%
6 3904
 
2.1%
8 3880
 
2.0%
Dash Punctuation
ValueCountFrequency (%)
- 30000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 220000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 89366
40.6%
1 32590
 
14.8%
- 30000
 
13.6%
3 15007
 
6.8%
7 13539
 
6.2%
2 12395
 
5.6%
9 10963
 
5.0%
4 4365
 
2.0%
5 3991
 
1.8%
6 3904
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 220000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 89366
40.6%
1 32590
 
14.8%
- 30000
 
13.6%
3 15007
 
6.8%
7 13539
 
6.2%
2 12395
 
5.6%
9 10963
 
5.0%
4 4365
 
2.0%
5 3991
 
1.8%
6 3904
 
1.8%

인허가일자
Date

Distinct6150
Distinct (%)61.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum1924-10-28 00:00:00
Maximum2024-05-09 00:00:00
2024-05-11T14:35:34.174320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:35:34.419093image/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
7694 
1
2306 

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 7694
76.9%
1 2306
 
23.1%

Length

2024-05-11T14:35:34.658733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:35:34.813275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 7694
76.9%
1 2306
 
23.1%

영업상태명
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
폐업
7694 
영업/정상
2306 

Length

Max length5
Median length2
Mean length2.6918
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 7694
76.9%
영업/정상 2306
 
23.1%

Length

2024-05-11T14:35:34.983167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:35:35.197994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 7694
76.9%
영업/정상 2306
 
23.1%

상세영업상태코드
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2
7694 
1
2306 

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 7694
76.9%
1 2306
 
23.1%

Length

2024-05-11T14:35:35.410342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:35:35.592282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 7694
76.9%
1 2306
 
23.1%

상세영업상태명
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
폐업
7694 
영업
2306 

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 7694
76.9%
영업 2306
 
23.1%

Length

2024-05-11T14:35:35.768208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:35:35.925940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 7694
76.9%
영업 2306
 
23.1%

폐업일자
Date

MISSING 

Distinct4396
Distinct (%)57.1%
Missing2306
Missing (%)23.1%
Memory size156.2 KiB
Minimum1993-08-30 00:00:00
Maximum2024-05-09 00:00:00
2024-05-11T14:35:36.140645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:35:36.365716image/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 

Distinct6359
Distinct (%)93.5%
Missing3200
Missing (%)32.0%
Memory size156.2 KiB
2024-05-11T14:35:36.789559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length10.200735
Min length2

Characters and Unicode

Total characters69365
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

Unique6074 ?
Unique (%)89.3%

Sample

1st row02 7420802
2nd row02 9368102
3rd row0211111111
4th row02 9116366
5th row02 9280068
ValueCountFrequency (%)
02 5901
43.6%
909 55
 
0.4%
922 40
 
0.3%
921 37
 
0.3%
929 36
 
0.3%
941 35
 
0.3%
942 33
 
0.2%
070 32
 
0.2%
00000 27
 
0.2%
923 27
 
0.2%
Other values (6402) 7317
54.0%
2024-05-11T14:35:37.451251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 12558
18.1%
0 11258
16.2%
9 9514
13.7%
7809
11.3%
1 5569
8.0%
4 4030
 
5.8%
3 3930
 
5.7%
7 3884
 
5.6%
6 3817
 
5.5%
5 3604
 
5.2%
Other values (2) 3392
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 61555
88.7%
Space Separator 7809
 
11.3%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 12558
20.4%
0 11258
18.3%
9 9514
15.5%
1 5569
9.0%
4 4030
 
6.5%
3 3930
 
6.4%
7 3884
 
6.3%
6 3817
 
6.2%
5 3604
 
5.9%
8 3391
 
5.5%
Space Separator
ValueCountFrequency (%)
7809
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 69365
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 12558
18.1%
0 11258
16.2%
9 9514
13.7%
7809
11.3%
1 5569
8.0%
4 4030
 
5.8%
3 3930
 
5.7%
7 3884
 
5.6%
6 3817
 
5.5%
5 3604
 
5.2%
Other values (2) 3392
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 69365
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 12558
18.1%
0 11258
16.2%
9 9514
13.7%
7809
11.3%
1 5569
8.0%
4 4030
 
5.8%
3 3930
 
5.7%
7 3884
 
5.6%
6 3817
 
5.5%
5 3604
 
5.2%
Other values (2) 3392
 
4.9%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1267
Missing (%)12.7%
Memory size156.2 KiB

소재지우편번호
Text

Distinct246
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-11T14:35:38.061447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.1162
Min length6

Characters and Unicode

Total characters61162
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

Unique19 ?
Unique (%)0.2%

Sample

1st row136032
2nd row136043
3rd row136830
4th row136825
5th row136120
ValueCountFrequency (%)
136051 545
 
5.5%
136075 468
 
4.7%
136865 343
 
3.4%
136833 241
 
2.4%
136817 229
 
2.3%
136826 207
 
2.1%
136858 188
 
1.9%
136800 186
 
1.9%
136052 185
 
1.8%
136818 183
 
1.8%
Other values (236) 7225
72.2%
2024-05-11T14:35:38.875804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 13069
21.4%
3 12360
20.2%
6 11527
18.8%
8 6782
11.1%
0 5658
9.3%
5 3543
 
5.8%
4 2284
 
3.7%
7 2118
 
3.5%
2 1986
 
3.2%
- 1162
 
1.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 60000
98.1%
Dash Punctuation 1162
 
1.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 13069
21.8%
3 12360
20.6%
6 11527
19.2%
8 6782
11.3%
0 5658
9.4%
5 3543
 
5.9%
4 2284
 
3.8%
7 2118
 
3.5%
2 1986
 
3.3%
9 673
 
1.1%
Dash Punctuation
ValueCountFrequency (%)
- 1162
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 61162
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 13069
21.4%
3 12360
20.2%
6 11527
18.8%
8 6782
11.1%
0 5658
9.3%
5 3543
 
5.8%
4 2284
 
3.7%
7 2118
 
3.5%
2 1986
 
3.2%
- 1162
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 61162
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 13069
21.4%
3 12360
20.2%
6 11527
18.8%
8 6782
11.1%
0 5658
9.3%
5 3543
 
5.8%
4 2284
 
3.7%
7 2118
 
3.5%
2 1986
 
3.2%
- 1162
 
1.9%

지번주소
Text

Distinct7290
Distinct (%)72.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-11T14:35:39.331833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length61
Median length55
Mean length23.9995
Min length16

Characters and Unicode

Total characters239995
Distinct characters350
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

Unique5733 ?
Unique (%)57.3%

Sample

1st row서울특별시 성북구 동소문동2가 91번지
2nd row서울특별시 성북구 삼선동3가 4번지 (지상1층)
3rd row서울특별시 성북구 장위동 75-12번지
4th row서울특별시 성북구 성북동 173-30
5th row서울특별시 성북구 상월곡동 23-165번지
ValueCountFrequency (%)
서울특별시 10000
23.0%
성북구 10000
23.0%
장위동 1366
 
3.1%
정릉동 1168
 
2.7%
하월곡동 1072
 
2.5%
석관동 951
 
2.2%
길음동 766
 
1.8%
종암동 687
 
1.6%
1층 648
 
1.5%
동선동1가 621
 
1.4%
Other values (6271) 16143
37.2%
2024-05-11T14:35:39.944764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
41739
17.4%
동 11944
 
5.0%
1 11419
 
4.8%
성 10346
 
4.3%
북 10297
 
4.3%
구 10024
 
4.2%
시 10022
 
4.2%
서 10009
 
4.2%
특 10002
 
4.2%
울 10001
 
4.2%
Other values (340) 104192
43.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 139712
58.2%
Decimal Number 48650
 
20.3%
Space Separator 41739
 
17.4%
Dash Punctuation 8434
 
3.5%
Open Punctuation 430
 
0.2%
Close Punctuation 430
 
0.2%
Other Punctuation 406
 
0.2%
Uppercase Letter 156
 
0.1%
Math Symbol 22
 
< 0.1%
Lowercase Letter 16
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 11944
 
8.5%
성 10346
 
7.4%
북 10297
 
7.4%
구 10024
 
7.2%
시 10022
 
7.2%
서 10009
 
7.2%
특 10002
 
7.2%
울 10001
 
7.2%
별 10000
 
7.2%
지 8244
 
5.9%
Other values (294) 38823
27.8%
Uppercase Letter
ValueCountFrequency (%)
B 78
50.0%
A 14
 
9.0%
S 13
 
8.3%
K 12
 
7.7%
E 6
 
3.8%
C 5
 
3.2%
V 4
 
2.6%
T 4
 
2.6%
D 4
 
2.6%
W 4
 
2.6%
Other values (6) 12
 
7.7%
Decimal Number
ValueCountFrequency (%)
1 11419
23.5%
2 7089
14.6%
3 5359
11.0%
5 4365
 
9.0%
0 3973
 
8.2%
4 3890
 
8.0%
6 3466
 
7.1%
7 3290
 
6.8%
8 3249
 
6.7%
9 2550
 
5.2%
Lowercase Letter
ValueCountFrequency (%)
e 4
25.0%
k 2
12.5%
s 2
12.5%
r 2
12.5%
u 2
12.5%
o 1
 
6.2%
m 1
 
6.2%
c 1
 
6.2%
w 1
 
6.2%
Other Punctuation
ValueCountFrequency (%)
, 387
95.3%
@ 10
 
2.5%
. 8
 
2.0%
: 1
 
0.2%
Math Symbol
ValueCountFrequency (%)
~ 20
90.9%
> 1
 
4.5%
< 1
 
4.5%
Space Separator
ValueCountFrequency (%)
41739
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8434
100.0%
Open Punctuation
ValueCountFrequency (%)
( 430
100.0%
Close Punctuation
ValueCountFrequency (%)
) 430
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 139712
58.2%
Common 100111
41.7%
Latin 172
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 11944
 
8.5%
성 10346
 
7.4%
북 10297
 
7.4%
구 10024
 
7.2%
시 10022
 
7.2%
서 10009
 
7.2%
특 10002
 
7.2%
울 10001
 
7.2%
별 10000
 
7.2%
지 8244
 
5.9%
Other values (294) 38823
27.8%
Latin
ValueCountFrequency (%)
B 78
45.3%
A 14
 
8.1%
S 13
 
7.6%
K 12
 
7.0%
E 6
 
3.5%
C 5
 
2.9%
V 4
 
2.3%
T 4
 
2.3%
D 4
 
2.3%
W 4
 
2.3%
Other values (15) 28
 
16.3%
Common
ValueCountFrequency (%)
41739
41.7%
1 11419
 
11.4%
- 8434
 
8.4%
2 7089
 
7.1%
3 5359
 
5.4%
5 4365
 
4.4%
0 3973
 
4.0%
4 3890
 
3.9%
6 3466
 
3.5%
7 3290
 
3.3%
Other values (11) 7087
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 139712
58.2%
ASCII 100283
41.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
41739
41.6%
1 11419
 
11.4%
- 8434
 
8.4%
2 7089
 
7.1%
3 5359
 
5.3%
5 4365
 
4.4%
0 3973
 
4.0%
4 3890
 
3.9%
6 3466
 
3.5%
7 3290
 
3.3%
Other values (36) 7259
 
7.2%
Hangul
ValueCountFrequency (%)
동 11944
 
8.5%
성 10346
 
7.4%
북 10297
 
7.4%
구 10024
 
7.2%
시 10022
 
7.2%
서 10009
 
7.2%
특 10002
 
7.2%
울 10001
 
7.2%
별 10000
 
7.2%
지 8244
 
5.9%
Other values (294) 38823
27.8%

도로명주소
Text

MISSING 

Distinct4270
Distinct (%)89.5%
Missing5230
Missing (%)52.3%
Memory size156.2 KiB
2024-05-11T14:35:40.340982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length73
Median length58
Mean length30.797904
Min length21

Characters and Unicode

Total characters146906
Distinct characters334
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

Unique3878 ?
Unique (%)81.3%

Sample

1st row서울특별시 성북구 성북로 50-1, 1층 (성북동)
2nd row서울특별시 성북구 성북로4길 52, 제지하4층 5106호 (돈암동, 한신한진아파트)
3rd row서울특별시 성북구 안암로 61-6 (안암동5가)
4th row서울특별시 성북구 종암로25길 22-29, 1층 (종암동)
5th row서울특별시 성북구 길음로13길 22 (길음동,두산아파트상가 지하2층 29호)
ValueCountFrequency (%)
서울특별시 4770
 
17.1%
성북구 4770
 
17.1%
1층 1387
 
5.0%
정릉동 513
 
1.8%
장위동 507
 
1.8%
하월곡동 407
 
1.5%
석관동 382
 
1.4%
안암동5가 315
 
1.1%
종암동 302
 
1.1%
길음동 285
 
1.0%
Other values (2420) 14236
51.1%
2024-05-11T14:35:41.283521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
23109
 
15.7%
1 6967
 
4.7%
동 6679
 
4.5%
북 5155
 
3.5%
성 5143
 
3.5%
( 5048
 
3.4%
) 5048
 
3.4%
서 4821
 
3.3%
시 4791
 
3.3%
구 4790
 
3.3%
Other values (324) 75355
51.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 85297
58.1%
Decimal Number 23719
 
16.1%
Space Separator 23109
 
15.7%
Open Punctuation 5048
 
3.4%
Close Punctuation 5048
 
3.4%
Other Punctuation 3518
 
2.4%
Dash Punctuation 932
 
0.6%
Uppercase Letter 175
 
0.1%
Math Symbol 45
 
< 0.1%
Lowercase Letter 15
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 6679
 
7.8%
북 5155
 
6.0%
성 5143
 
6.0%
서 4821
 
5.7%
시 4791
 
5.6%
구 4790
 
5.6%
울 4772
 
5.6%
별 4770
 
5.6%
특 4770
 
5.6%
로 4739
 
5.6%
Other values (282) 34867
40.9%
Uppercase Letter
ValueCountFrequency (%)
B 108
61.7%
S 13
 
7.4%
K 12
 
6.9%
A 11
 
6.3%
E 5
 
2.9%
W 5
 
2.9%
I 5
 
2.9%
V 5
 
2.9%
F 4
 
2.3%
C 2
 
1.1%
Other values (4) 5
 
2.9%
Decimal Number
ValueCountFrequency (%)
1 6967
29.4%
2 3936
16.6%
3 2434
 
10.3%
5 1963
 
8.3%
4 1863
 
7.9%
0 1705
 
7.2%
6 1476
 
6.2%
7 1346
 
5.7%
8 1138
 
4.8%
9 891
 
3.8%
Lowercase Letter
ValueCountFrequency (%)
e 5
33.3%
u 2
 
13.3%
r 2
 
13.3%
k 1
 
6.7%
s 1
 
6.7%
b 1
 
6.7%
w 1
 
6.7%
o 1
 
6.7%
m 1
 
6.7%
Other Punctuation
ValueCountFrequency (%)
, 3480
98.9%
@ 34
 
1.0%
. 3
 
0.1%
? 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
23109
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5048
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5048
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 932
100.0%
Math Symbol
ValueCountFrequency (%)
~ 45
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 85297
58.1%
Common 61419
41.8%
Latin 190
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 6679
 
7.8%
북 5155
 
6.0%
성 5143
 
6.0%
서 4821
 
5.7%
시 4791
 
5.6%
구 4790
 
5.6%
울 4772
 
5.6%
별 4770
 
5.6%
특 4770
 
5.6%
로 4739
 
5.6%
Other values (282) 34867
40.9%
Latin
ValueCountFrequency (%)
B 108
56.8%
S 13
 
6.8%
K 12
 
6.3%
A 11
 
5.8%
e 5
 
2.6%
E 5
 
2.6%
W 5
 
2.6%
I 5
 
2.6%
V 5
 
2.6%
F 4
 
2.1%
Other values (13) 17
 
8.9%
Common
ValueCountFrequency (%)
23109
37.6%
1 6967
 
11.3%
( 5048
 
8.2%
) 5048
 
8.2%
2 3936
 
6.4%
, 3480
 
5.7%
3 2434
 
4.0%
5 1963
 
3.2%
4 1863
 
3.0%
0 1705
 
2.8%
Other values (9) 5866
 
9.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 85297
58.1%
ASCII 61609
41.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
23109
37.5%
1 6967
 
11.3%
( 5048
 
8.2%
) 5048
 
8.2%
2 3936
 
6.4%
, 3480
 
5.6%
3 2434
 
4.0%
5 1963
 
3.2%
4 1863
 
3.0%
0 1705
 
2.8%
Other values (32) 6056
 
9.8%
Hangul
ValueCountFrequency (%)
동 6679
 
7.8%
북 5155
 
6.0%
성 5143
 
6.0%
서 4821
 
5.7%
시 4791
 
5.6%
구 4790
 
5.6%
울 4772
 
5.6%
별 4770
 
5.6%
특 4770
 
5.6%
로 4739
 
5.6%
Other values (282) 34867
40.9%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct160
Distinct (%)3.5%
Missing5415
Missing (%)54.1%
Infinite0
Infinite (%)0.0%
Mean2797.4026
Minimum2700
Maximum2880
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T14:35:41.681829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2700
5-th percentile2711
Q12751
median2800
Q32845
95-th percentile2866
Maximum2880
Range180
Interquartile range (IQR)94

Descriptive statistics

Standard deviation52.128668
Coefficient of variation (CV)0.018634668
Kurtosis-1.2986545
Mean2797.4026
Median Absolute Deviation (MAD)46
Skewness-0.21725041
Sum12826091
Variance2717.3981
MonotonicityNot monotonic
2024-05-11T14:35:41.974897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2845 310
 
3.1%
2856 147
 
1.5%
2781 119
 
1.2%
2751 105
 
1.1%
2797 101
 
1.0%
2842 91
 
0.9%
2829 89
 
0.9%
2846 87
 
0.9%
2849 87
 
0.9%
2784 83
 
0.8%
Other values (150) 3366
33.7%
(Missing) 5415
54.1%
ValueCountFrequency (%)
2700 8
 
0.1%
2701 12
 
0.1%
2702 14
 
0.1%
2704 17
 
0.2%
2705 8
 
0.1%
2707 2
 
< 0.1%
2708 26
 
0.3%
2709 78
0.8%
2710 55
0.5%
2711 43
0.4%
ValueCountFrequency (%)
2880 70
0.7%
2879 3
 
< 0.1%
2878 2
 
< 0.1%
2874 2
 
< 0.1%
2873 70
0.7%
2872 33
0.3%
2871 19
 
0.2%
2869 3
 
< 0.1%
2868 9
 
0.1%
2867 17
 
0.2%

사업장명
Text

Distinct8467
Distinct (%)84.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-11T14:35:42.436412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length31
Mean length5.3614
Min length1

Characters and Unicode

Total characters53614
Distinct characters1126
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks8 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7596 ?
Unique (%)76.0%

Sample

1st row용두동(삼선교점)
2nd row카페일상
3rd row춘천식당
4th row성북동 비빔밥
5th row엄마손식당
ValueCountFrequency (%)
성신여대점 73
 
0.6%
전주식당 29
 
0.3%
종암점 28
 
0.2%
월곡점 25
 
0.2%
성북점 24
 
0.2%
정릉점 23
 
0.2%
실내포장마차 21
 
0.2%
떡볶이 17
 
0.1%
김밥천국 16
 
0.1%
치킨 15
 
0.1%
Other values (8998) 11269
97.7%
2024-05-11T14:35:43.165112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1541
 
2.9%
식 1149
 
2.1%
이 1076
 
2.0%
당 874
 
1.6%
점 862
 
1.6%
리 779
 
1.5%
스 757
 
1.4%
치 664
 
1.2%
대 615
 
1.1%
) 591
 
1.1%
Other values (1116) 44706
83.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 47161
88.0%
Space Separator 1541
 
2.9%
Lowercase Letter 1495
 
2.8%
Uppercase Letter 1416
 
2.6%
Close Punctuation 593
 
1.1%
Open Punctuation 593
 
1.1%
Decimal Number 557
 
1.0%
Other Punctuation 213
 
0.4%
Dash Punctuation 24
 
< 0.1%
Math Symbol 12
 
< 0.1%
Other values (2) 9
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
식 1149
 
2.4%
이 1076
 
2.3%
당 874
 
1.9%
점 862
 
1.8%
리 779
 
1.7%
스 757
 
1.6%
치 664
 
1.4%
대 615
 
1.3%
마 577
 
1.2%
장 576
 
1.2%
Other values (1029) 39232
83.2%
Lowercase Letter
ValueCountFrequency (%)
e 213
14.2%
o 146
 
9.8%
a 140
 
9.4%
i 91
 
6.1%
r 90
 
6.0%
s 84
 
5.6%
n 76
 
5.1%
c 73
 
4.9%
l 69
 
4.6%
t 69
 
4.6%
Other values (16) 444
29.7%
Uppercase Letter
ValueCountFrequency (%)
A 124
 
8.8%
E 107
 
7.6%
O 105
 
7.4%
B 97
 
6.9%
C 85
 
6.0%
T 84
 
5.9%
S 78
 
5.5%
L 78
 
5.5%
N 71
 
5.0%
H 59
 
4.2%
Other values (16) 528
37.3%
Other Punctuation
ValueCountFrequency (%)
. 77
36.2%
& 57
26.8%
, 24
 
11.3%
' 18
 
8.5%
? 15
 
7.0%
! 7
 
3.3%
＆ 5
 
2.3%
/ 4
 
1.9%
． 2
 
0.9%
; 1
 
0.5%
Other values (3) 3
 
1.4%
Decimal Number
ValueCountFrequency (%)
2 116
20.8%
1 99
17.8%
0 85
15.3%
9 50
9.0%
3 45
 
8.1%
5 40
 
7.2%
8 38
 
6.8%
4 34
 
6.1%
7 27
 
4.8%
6 23
 
4.1%
Math Symbol
ValueCountFrequency (%)
> 4
33.3%
< 4
33.3%
+ 2
16.7%
~ 2
16.7%
Close Punctuation
ValueCountFrequency (%)
) 591
99.7%
] 2
 
0.3%
Open Punctuation
ValueCountFrequency (%)
( 591
99.7%
[ 2
 
0.3%
Space Separator
ValueCountFrequency (%)
1541
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 24
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 8
100.0%
Other Symbol
ValueCountFrequency (%)
℃ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 47121
87.9%
Common 3534
 
6.6%
Latin 2919
 
5.4%
Han 40
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
식 1149
 
2.4%
이 1076
 
2.3%
당 874
 
1.9%
점 862
 
1.8%
리 779
 
1.7%
스 757
 
1.6%
치 664
 
1.4%
대 615
 
1.3%
마 577
 
1.2%
장 576
 
1.2%
Other values (998) 39192
83.2%
Latin
ValueCountFrequency (%)
e 213
 
7.3%
o 146
 
5.0%
a 140
 
4.8%
A 124
 
4.2%
E 107
 
3.7%
O 105
 
3.6%
B 97
 
3.3%
i 91
 
3.1%
r 90
 
3.1%
C 85
 
2.9%
Other values (43) 1721
59.0%
Common
ValueCountFrequency (%)
1541
43.6%
) 591
 
16.7%
( 591
 
16.7%
2 116
 
3.3%
1 99
 
2.8%
0 85
 
2.4%
. 77
 
2.2%
& 57
 
1.6%
9 50
 
1.4%
3 45
 
1.3%
Other values (24) 282
 
8.0%
Han
ValueCountFrequency (%)
火 4
 
10.0%
愛 3
 
7.5%
工 2
 
5.0%
本 2
 
5.0%
辛 2
 
5.0%
豚 2
 
5.0%
李 1
 
2.5%
世 1
 
2.5%
場 1
 
2.5%
麵 1
 
2.5%
Other values (21) 21
52.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 47120
87.9%
ASCII 6436
 
12.0%
CJK 37
 
0.1%
Number Forms 8
 
< 0.1%
None 8
 
< 0.1%
CJK Compat Ideographs 3
 
< 0.1%
Compat Jamo 1
 
< 0.1%
Letterlike Symbols 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1541
23.9%
) 591
 
9.2%
( 591
 
9.2%
e 213
 
3.3%
o 146
 
2.3%
a 140
 
2.2%
A 124
 
1.9%
2 116
 
1.8%
E 107
 
1.7%
O 105
 
1.6%
Other values (72) 2762
42.9%
Hangul
ValueCountFrequency (%)
식 1149
 
2.4%
이 1076
 
2.3%
당 874
 
1.9%
점 862
 
1.8%
리 779
 
1.7%
스 757
 
1.6%
치 664
 
1.4%
대 615
 
1.3%
마 577
 
1.2%
장 576
 
1.2%
Other values (997) 39191
83.2%
Number Forms
ValueCountFrequency (%)
Ⅱ 8
100.0%
None
ValueCountFrequency (%)
＆ 5
62.5%
． 2
 
25.0%
！ 1
 
12.5%
CJK
ValueCountFrequency (%)
火 4
 
10.8%
愛 3
 
8.1%
工 2
 
5.4%
本 2
 
5.4%
辛 2
 
5.4%
豚 2
 
5.4%
世 1
 
2.7%
場 1
 
2.7%
麵 1
 
2.7%
人 1
 
2.7%
Other values (18) 18
48.6%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%
CJK Compat Ideographs
ValueCountFrequency (%)
李 1
33.3%
串 1
33.3%
零 1
33.3%
Letterlike Symbols
ValueCountFrequency (%)
℃ 1
100.0%

최종수정일자
Date

Distinct6215
Distinct (%)62.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2001-10-05 00:00:00
Maximum2024-05-09 16:31:49
2024-05-11T14:35:43.365248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:35:43.642067image/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
7501 
U
2499 

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 7501
75.0%
U 2499
 
25.0%

Length

2024-05-11T14:35:43.898824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:35:44.063710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 7501
75.0%
u 2499
 
25.0%

데이터갱신일자
Date

Distinct1239
Distinct (%)12.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:09:00
2024-05-11T14:35:44.236030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:35:44.451176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

Distinct26
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
한식
3998 
분식
1392 
기타
1150 
호프/통닭
728 
정종/대포집/소주방
672 
Other values (21)
2060 

Length

Max length15
Median length2
Mean length3.1636
Min length2

Unique

Unique4 ?
Unique (%)< 0.1%

Sample

1st row분식
2nd row기타
3rd row한식
4th row한식
5th row한식

Common Values

ValueCountFrequency (%)
한식 3998
40.0%
분식 1392
 
13.9%
기타 1150
 
11.5%
호프/통닭 728
 
7.3%
정종/대포집/소주방 672
 
6.7%
경양식 500
 
5.0%
통닭(치킨) 324
 
3.2%
일식 284
 
2.8%
중국식 274
 
2.7%
까페 211
 
2.1%
Other values (16) 467
 
4.7%

Length

2024-05-11T14:35:44.653427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
한식 3998
40.0%
분식 1392
 
13.9%
기타 1151
 
11.5%
호프/통닭 728
 
7.3%
정종/대포집/소주방 672
 
6.7%
경양식 500
 
5.0%
통닭(치킨 324
 
3.2%
일식 284
 
2.8%
중국식 274
 
2.7%
까페 211
 
2.1%
Other values (16) 467
 
4.7%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct4386
Distinct (%)46.8%
Missing627
Missing (%)6.3%
Infinite0
Infinite (%)0.0%
Mean202557.4
Minimum198545.88
Maximum206112.46
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T14:35:44.861336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum198545.88
5-th percentile200400.29
Q1201403.96
median202449.79
Q3203757.59
95-th percentile205390.56
Maximum206112.46
Range7566.5816
Interquartile range (IQR)2353.63

Descriptive statistics

Standard deviation1569.8092
Coefficient of variation (CV)0.007749947
Kurtosis-0.86601725
Mean202557.4
Median Absolute Deviation (MAD)1139.0559
Skewness0.38580356
Sum1.8985705 × 109
Variance2464300.8
MonotonicityNot monotonic
2024-05-11T14:35:45.045625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
200841.726990037 48
 
0.5%
202466.801104742 45
 
0.4%
203318.127254872 37
 
0.4%
202466.801084521 26
 
0.3%
201592.991324089 26
 
0.3%
202576.196136113 20
 
0.2%
204208.631200867 19
 
0.2%
202029.981799661 17
 
0.2%
201215.878160704 17
 
0.2%
201648.204071174 16
 
0.2%
Other values (4376) 9102
91.0%
(Missing) 627
 
6.3%
ValueCountFrequency (%)
198545.876020342 3
< 0.1%
198921.445609008 3
< 0.1%
199058.357470878 1
 
< 0.1%
199157.356658993 1
 
< 0.1%
199197.617754329 1
 
< 0.1%
199265.747571241 1
 
< 0.1%
199301.521046583 1
 
< 0.1%
199342.361422027 2
< 0.1%
199343.817053492 1
 
< 0.1%
199357.173663958 1
 
< 0.1%
ValueCountFrequency (%)
206112.457605113 2
 
< 0.1%
205996.717928956 13
0.1%
205818.852385165 1
 
< 0.1%
205745.780046691 1
 
< 0.1%
205736.68305598 1
 
< 0.1%
205734.999748 1
 
< 0.1%
205733.885475417 2
 
< 0.1%
205733.614024599 2
 
< 0.1%
205724.112471764 2
 
< 0.1%
205720.996144399 4
 
< 0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct4386
Distinct (%)46.8%
Missing627
Missing (%)6.3%
Infinite0
Infinite (%)0.0%
Mean455408.69
Minimum452872.83
Maximum457988.51
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T14:35:45.256441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum452872.83
5-th percentile453538.13
Q1454326.98
median455659.82
Q3456373.47
95-th percentile457157.79
Maximum457988.51
Range5115.6825
Interquartile range (IQR)2046.494

Descriptive statistics

Standard deviation1185.8145
Coefficient of variation (CV)0.0026038468
Kurtosis-1.1887067
Mean455408.69
Median Absolute Deviation (MAD)1018.3856
Skewness-0.16562429
Sum4.2685456 × 109
Variance1406156
MonotonicityNot monotonic
2024-05-11T14:35:45.494964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
454721.505180141 48
 
0.5%
456227.571665528 45
 
0.4%
456078.982123486 37
 
0.4%
456227.571720914 26
 
0.3%
456382.966061703 26
 
0.3%
456059.769188359 20
 
0.2%
457844.348010616 19
 
0.2%
455605.716911266 17
 
0.2%
454367.577780192 17
 
0.2%
455717.855906877 16
 
0.2%
Other values (4376) 9102
91.0%
(Missing) 627
 
6.3%
ValueCountFrequency (%)
452872.827007071 1
 
< 0.1%
452935.221547454 3
< 0.1%
452937.080397942 3
< 0.1%
452955.765833032 1
 
< 0.1%
452958.916836799 1
 
< 0.1%
452962.144125456 3
< 0.1%
452963.030986017 1
 
< 0.1%
452968.308826363 1
 
< 0.1%
452973.726106908 2
< 0.1%
452975.540206698 1
 
< 0.1%
ValueCountFrequency (%)
457988.509545404 1
 
< 0.1%
457844.348010616 19
0.2%
457813.661216373 1
 
< 0.1%
457803.264646008 2
 
< 0.1%
457738.394259698 1
 
< 0.1%
457726.528994544 2
 
< 0.1%
457703.803194941 1
 
< 0.1%
457681.833795388 3
 
< 0.1%
457671.056818997 2
 
< 0.1%
457664.961911112 2
 
< 0.1%

위생업태명
Categorical

Distinct26
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
한식
3437 
<NA>
1562 
분식
1335 
기타
701 
정종/대포집/소주방
655 
Other values (21)
2310 

Length

Max length15
Median length2
Mean length3.3337
Min length2

Unique

Unique5 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
한식 3437
34.4%
<NA> 1562
15.6%
분식 1335
 
13.4%
기타 701
 
7.0%
정종/대포집/소주방 655
 
6.6%
호프/통닭 605
 
6.0%
경양식 425
 
4.2%
통닭(치킨) 293
 
2.9%
중국식 222
 
2.2%
일식 216
 
2.2%
Other values (16) 549
 
5.5%

Length

2024-05-11T14:35:45.692749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
한식 3437
34.4%
na 1562
15.6%
분식 1335
 
13.3%
기타 702
 
7.0%
정종/대포집/소주방 655
 
6.5%
호프/통닭 605
 
6.0%
경양식 425
 
4.2%
통닭(치킨 293
 
2.9%
중국식 222
 
2.2%
일식 216
 
2.2%
Other values (16) 549
 
5.5%

남성종사자수
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct11
Distinct (%)0.2%
Missing4107
Missing (%)41.1%
Infinite0
Infinite (%)0.0%
Mean0.3989479
Minimum0
Maximum93
Zeros4235
Zeros (%)42.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T14:35:45.856885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum93
Range93
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.4442029
Coefficient of variation (CV)3.6200287
Kurtosis2872.3856
Mean0.3989479
Median Absolute Deviation (MAD)0
Skewness45.476814
Sum2351
Variance2.0857219
MonotonicityNot monotonic
2024-05-11T14:35:46.054229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 4235
42.4%
1 1303
 
13.0%
2 224
 
2.2%
3 82
 
0.8%
4 24
 
0.2%
5 9
 
0.1%
6 6
 
0.1%
8 5
 
0.1%
10 3
 
< 0.1%
93 1
 
< 0.1%
(Missing) 4107
41.1%
ValueCountFrequency (%)
0 4235
42.4%
1 1303
 
13.0%
2 224
 
2.2%
3 82
 
0.8%
4 24
 
0.2%
5 9
 
0.1%
6 6
 
0.1%
8 5
 
0.1%
10 3
 
< 0.1%
14 1
 
< 0.1%
ValueCountFrequency (%)
93 1
 
< 0.1%
14 1
 
< 0.1%
10 3
 
< 0.1%
8 5
 
0.1%
6 6
 
0.1%
5 9
 
0.1%
4 24
 
0.2%
3 82
 
0.8%
2 224
 
2.2%
1 1303
13.0%

여성종사자수
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct14
Distinct (%)0.2%
Missing3963
Missing (%)39.6%
Infinite0
Infinite (%)0.0%
Mean0.66440285
Minimum0
Maximum93
Zeros3294
Zeros (%)32.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T14:35:46.256758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum93
Range93
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.5234026
Coefficient of variation (CV)2.2928899
Kurtosis2243.4155
Mean0.66440285
Median Absolute Deviation (MAD)0
Skewness37.912159
Sum4011
Variance2.3207555
MonotonicityNot monotonic
2024-05-11T14:35:46.411009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 3294
32.9%
1 1903
19.0%
2 657
 
6.6%
3 126
 
1.3%
4 26
 
0.3%
5 14
 
0.1%
6 4
 
< 0.1%
10 3
 
< 0.1%
9 3
 
< 0.1%
8 2
 
< 0.1%
Other values (4) 5
 
0.1%
(Missing) 3963
39.6%
ValueCountFrequency (%)
0 3294
32.9%
1 1903
19.0%
2 657
 
6.6%
3 126
 
1.3%
4 26
 
0.3%
5 14
 
0.1%
6 4
 
< 0.1%
7 1
 
< 0.1%
8 2
 
< 0.1%
9 3
 
< 0.1%
ValueCountFrequency (%)
93 1
 
< 0.1%
21 1
 
< 0.1%
12 2
 
< 0.1%
10 3
 
< 0.1%
9 3
 
< 0.1%
8 2
 
< 0.1%
7 1
 
< 0.1%
6 4
 
< 0.1%
5 14
0.1%
4 26
0.3%

영업장주변구분명
Categorical

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
5621 
주택가주변
3013 
기타
1077 
유흥업소밀집지역
 
164
아파트지역
 
51
Other values (3)
 
74

Length

Max length8
Median length4
Mean length4.1853
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 5621
56.2%
주택가주변 3013
30.1%
기타 1077
 
10.8%
유흥업소밀집지역 164
 
1.6%
아파트지역 51
 
0.5%
학교정화(상대) 45
 
0.4%
학교정화(절대) 20
 
0.2%
결혼예식장주변 9
 
0.1%

Length

2024-05-11T14:35:46.589665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:35:46.760259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5621
56.2%
주택가주변 3013
30.1%
기타 1077
 
10.8%
유흥업소밀집지역 164
 
1.6%
아파트지역 51
 
0.5%
학교정화(상대 45
 
0.4%
학교정화(절대 20
 
0.2%
결혼예식장주변 9
 
0.1%

등급구분명
Categorical

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
5647 
기타
2686 
을
697 
자율
 
538
지도
 
321
Other values (3)
 
111

Length

Max length4
Median length4
Mean length3.0557
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 5647
56.5%
기타 2686
26.9%
을 697
 
7.0%
자율 538
 
5.4%
지도 321
 
3.2%
관리 70
 
0.7%
갑 40
 
0.4%
우수 1
 
< 0.1%

Length

2024-05-11T14:35:46.929161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:35:47.066268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5647
56.5%
기타 2686
26.9%
을 697
 
7.0%
자율 538
 
5.4%
지도 321
 
3.2%
관리 70
 
0.7%
갑 40
 
0.4%
우수 1
 
< 0.1%

급수시설구분명
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
상수도전용
6761 
<NA>
3225 
상수도(음용)지하수(주방용)겸용
 
14

Length

Max length17
Median length5
Mean length4.6943
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
상수도전용 6761
67.6%
<NA> 3225
32.2%
상수도(음용)지하수(주방용)겸용 14
 
0.1%

Length

2024-05-11T14:35:47.213544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:35:47.352226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
상수도전용 6761
67.6%
na 3225
32.2%
상수도(음용)지하수(주방용)겸용 14
 
0.1%

총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9661 
0
 
339

Length

Max length4
Median length4
Mean length3.8983
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> 9661
96.6%
0 339
 
3.4%

Length

2024-05-11T14:35:47.516158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:35:47.694263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9661
96.6%
0 339
 
3.4%

본사종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9657 
0
 
343

Length

Max length4
Median length4
Mean length3.8971
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> 9657
96.6%
0 343
 
3.4%

Length

2024-05-11T14:35:47.883220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:35:48.039278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9657
96.6%
0 343
 
3.4%

공장사무직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9657 
0
 
343

Length

Max length4
Median length4
Mean length3.8971
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> 9657
96.6%
0 343
 
3.4%

Length

2024-05-11T14:35:48.200668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:35:48.385221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9657
96.6%
0 343
 
3.4%

공장판매직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9657 
0
 
343

Length

Max length4
Median length4
Mean length3.8971
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> 9657
96.6%
0 343
 
3.4%

Length

2024-05-11T14:35:48.528959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:35:48.679085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9657
96.6%
0 343
 
3.4%

공장생산직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9657 
0
 
343

Length

Max length4
Median length4
Mean length3.8971
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> 9657
96.6%
0 343
 
3.4%

Length

2024-05-11T14:35:48.849082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:35:48.982129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9657
96.6%
0 343
 
3.4%

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>
9657 
0
 
343

Length

Max length4
Median length4
Mean length3.8971
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> 9657
96.6%
0 343
 
3.4%

Length

2024-05-11T14:35:49.132138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:35:49.286606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9657
96.6%
0 343
 
3.4%

월세액
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9657 
0
 
343

Length

Max length4
Median length4
Mean length3.8971
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> 9657
96.6%
0 343
 
3.4%

Length

2024-05-11T14:35:49.448603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:35:49.599208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9657
96.6%
0 343
 
3.4%

다중이용업소여부
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)< 0.1%
Missing1562
Missing (%)15.6%
Memory size97.7 KiB
False
8273 
True
 
165
(Missing)
1562 
ValueCountFrequency (%)
False 8273
82.7%
True 165
 
1.7%
(Missing) 1562
 
15.6%
2024-05-11T14:35:49.737341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

MISSING  ZEROS 

Distinct3449
Distinct (%)40.9%
Missing1562
Missing (%)15.6%
Infinite0
Infinite (%)0.0%
Mean48.514948
Minimum0
Maximum2014.62
Zeros1266
Zeros (%)12.7%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T14:35:49.952073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q118.945
median31.51
Q359.4
95-th percentile133.762
Maximum2014.62
Range2014.62
Interquartile range (IQR)40.455

Descriptive statistics

Standard deviation76.007091
Coefficient of variation (CV)1.5666737
Kurtosis156.58686
Mean48.514948
Median Absolute Deviation (MAD)17.99
Skewness9.6526574
Sum409369.13
Variance5777.0779
MonotonicityNot monotonic
2024-05-11T14:35:50.523507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 1266
 
12.7%
26.4 175
 
1.8%
33.0 130
 
1.3%
23.1 122
 
1.2%
19.8 116
 
1.2%
29.7 99
 
1.0%
16.5 90
 
0.9%
49.5 75
 
0.8%
66.0 64
 
0.6%
39.6 60
 
0.6%
Other values (3439) 6241
62.4%
(Missing) 1562
 
15.6%
ValueCountFrequency (%)
0.0 1266
12.7%
2.25 1
 
< 0.1%
3.5 1
 
< 0.1%
4.81 1
 
< 0.1%
4.95 1
 
< 0.1%
5.0 3
 
< 0.1%
6.0 2
 
< 0.1%
6.56 1
 
< 0.1%
6.6 7
 
0.1%
6.82 1
 
< 0.1%
ValueCountFrequency (%)
2014.62 1
< 0.1%
1590.03 1
< 0.1%
1569.22 1
< 0.1%
1534.39 1
< 0.1%
1445.68 1
< 0.1%
1020.14 1
< 0.1%
1019.41 1
< 0.1%
945.64 1
< 0.1%
905.32 1
< 0.1%
875.48 1
< 0.1%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

전통업소주된음식
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9999 
0
 
1

Length

Max length4
Median length4
Mean length3.9997
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 9999
> 99.9%
0 1
 
< 0.1%

Length

2024-05-11T14:35:50.826873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:35:50.992652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9999
> 99.9%
0 1
 
< 0.1%

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
663830700003070000-101-2000-1005120000106<NA>3폐업2폐업20090910<NA><NA><NA>02 742080241.51136032서울특별시 성북구 동소문동2가 91번지<NA><NA>용두동(삼선교점)2002-02-01 00:00:00I2018-08-31 23:59:59.0분식200665.78885454025.21136분식10주택가주변기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N41.51<NA><NA><NA>
1118030700003070000-101-2008-0007720080321<NA>3폐업2폐업20101210<NA><NA><NA>02 936810269.48136043서울특별시 성북구 삼선동3가 4번지 (지상1층)<NA><NA>카페일상2008-03-21 15:23:02I2018-08-31 23:59:59.0기타200877.31903453999.883345기타<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N69.48<NA><NA><NA>
411930700003070000-101-1996-0221019961116<NA>3폐업2폐업20000414<NA><NA><NA>021111111130.95136830서울특별시 성북구 장위동 75-12번지<NA><NA>춘천식당2002-02-15 00:00:00I2018-08-31 23:59:59.0한식204534.325946456984.889969한식01주택가주변기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N30.95<NA><NA><NA>
1637430700003070000-101-2022-0015420220610<NA>1영업/정상1영업<NA><NA><NA><NA><NA>13.25136825서울특별시 성북구 성북동 173-30서울특별시 성북구 성북로 50-1, 1층 (성북동)2835성북동 비빔밥2022-06-10 16:19:57I2021-12-05 23:02:00.0한식200192.474994454440.092204<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1045230700003070000-101-2006-0011320060421<NA>3폐업2폐업20090325<NA><NA><NA>02 911636631.00136120서울특별시 성북구 상월곡동 23-165번지<NA><NA>엄마손식당2006-04-21 00:00:00I2018-08-31 23:59:59.0한식204450.125942456198.655284한식00<NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N31.0<NA><NA><NA>
813030700003070000-101-2002-0015620020329<NA>3폐업2폐업20050623<NA><NA><NA>02 928006846.20136037서울특별시 성북구 동소문동7가 90번지<NA><NA>통뼈다귀2002-03-29 00:00:00I2018-08-31 23:59:59.0한식201179.46329454942.795487한식00<NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N46.2<NA><NA><NA>
1706230700003070000-101-2024-000072024-01-04<NA>1영업/정상1영업<NA><NA><NA><NA>02 925 142366.78136-753서울특별시 성북구 돈암동 609-1 한신한진아파트서울특별시 성북구 성북로4길 52, 제지하4층 5106호 (돈암동, 한신한진아파트)2831오즐김밥2024-01-04 15:21:59I2023-12-01 00:06:00.0김밥(도시락)200841.72699454721.50518<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
409430700003070000-101-1996-0218419960727<NA>1영업/정상1영업<NA><NA><NA><NA>02 928620247.52136075서울특별시 성북구 안암동5가 134-94서울특별시 성북구 안암로 61-6 (안암동5가)2855이공김밥2021-11-24 09:52:25U2021-11-26 02:40:00.0한식202443.579565453345.532133한식00학교정화(상대)기타상수도전용00000<NA>00N47.52<NA><NA><NA>
1554930700003070000-101-2020-001282020-06-02<NA>3폐업2폐업2024-02-21<NA><NA><NA><NA>60.00136-863서울특별시 성북구 종암동 80-4 1층서울특별시 성북구 종암로25길 22-29, 1층 (종암동)2803까페토미2024-02-21 11:25:14U2023-12-01 22:03:00.0기타202722.212712455480.595857<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1228530700003070000-101-2011-0001620110117<NA>3폐업2폐업20120622<NA><NA><NA><NA>33.06136110서울특별시 성북구 길음동 1285번지 두산아파트상가 지하2층 29호서울특별시 성북구 길음로13길 22 (길음동,두산아파트상가 지하2층 29호)2715뉴타운참치2011-06-23 14:16:52I2018-08-31 23:59:59.0일식201592.991324456382.966062일식<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N33.06<NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
546430700003070000-101-1998-0650019980420<NA>3폐업2폐업20020723<NA><NA><NA>02 919262326.60136140서울특별시 성북구 장위동 143-3번지<NA><NA>화이팅호프2002-01-29 00:00:00I2018-08-31 23:59:59.0호프/통닭204490.248295457310.485299호프/통닭01주택가주변기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N26.6<NA><NA><NA>
884230700003070000-101-2003-0025120030516<NA>1영업/정상1영업<NA><NA><NA><NA>02 941494526.40136802서울특별시 성북구 길음동 535-8번지 길음시장 65,66호서울특별시 성북구 동소문로 227, 65,66호 (길음동)2721한갈비탕2017-11-15 11:01:05I2018-08-31 23:59:59.0분식201852.588542455598.947534분식00<NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N26.4<NA><NA><NA>
1037730700003070000-101-2006-0003820060222<NA>3폐업2폐업20110602<NA><NA><NA>02 913273634.65136865서울특별시 성북구 하월곡동 60-151번지<NA><NA>이조가마솥설렁탕2009-10-27 17:02:58I2018-08-31 23:59:59.0한식203219.99016455869.586028한식00<NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N34.65<NA><NA><NA>
1119430700003070000-101-2008-0009120080408<NA>3폐업2폐업20110930<NA><NA><NA>02 957579926.60136831서울특별시 성북구 장위동 173-108번지 (지상1층)<NA><NA>이가네 곱창2008-04-08 09:55:53I2018-08-31 23:59:59.0한식204519.52623457391.497146한식<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N26.6<NA><NA><NA>
787230700003070000-101-2001-1144520011123<NA>3폐업2폐업20020830<NA><NA><NA><NA>92.40136818서울특별시 성북구 석관동 270-1번지 1동<NA><NA>촌미곰탕2001-11-23 00:00:00I2018-08-31 23:59:59.0한식205254.262598456319.556672한식00<NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N92.4<NA><NA><NA>
100930700003070000-101-1989-0082719891221<NA>3폐업2폐업20170925<NA><NA><NA>020912834728.99136830서울특별시 성북구 장위동 74-310번지서울특별시 성북구 장위로 156-2 (장위동)2777동진식당2017-09-25 11:15:07I2018-08-31 23:59:59.0한식204685.76627456898.300045한식01주택가주변을상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N28.99<NA><NA><NA>
1432130700003070000-101-2016-002972016-11-04<NA>1영업/정상1영업<NA><NA><NA><NA>02 941 77111600.00136-130서울특별시 성북구 하월곡동 229 상가지상 2층(서희스타힐스)서울특별시 성북구 동소문로 284 (하월곡동, 상가지상 2층(서희스타힐스))2734웨딩스퀘어 성북2023-06-23 13:36:47U2022-12-05 22:05:00.0뷔페식202344.064678455897.489899<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1380130700003070000-101-2015-001252015-05-01<NA>1영업/정상1영업<NA><NA><NA><NA><NA>313.13136-075서울특별시 성북구 안암동5가 102-36 1층서울특별시 성북구 고려대로24길 44, 1층 (안암동5가)2855늑대식당(미각)2023-05-17 14:58:30U2022-12-04 23:09:00.0중국식202515.277465453544.429633<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1626230700003070000-101-2022-0004220220218<NA>3폐업2폐업20220708<NA><NA><NA><NA>30.47136075서울특별시 성북구 안암동5가 42-2서울특별시 성북구 고려대로 117, 1층 (안암동5가)2842린다스2022-07-08 15:08:42U2021-12-06 23:02:00.0기타202784.208231453805.195984<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
879630700003070000-101-2003-0020120030422<NA>3폐업2폐업20061108<NA><NA><NA>02 915398872.05136828서울특별시 성북구 장위동 65-177번지<NA><NA>원2004-06-12 00:00:00I2018-08-31 23:59:59.0기타204542.999101456254.506277기타00<NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N72.05<NA><NA><NA>