Overview

Dataset statistics

Number of variables44
Number of observations10000
Missing cells99198
Missing cells (%)22.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.6 MiB
Average record size in memory382.0 B

Variable types

Categorical19
Text7
DateTime4
Unsupported7
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
Author은평구
URLhttps://data.seoul.go.kr/dataList/OA-18663/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
등급구분명 is highly imbalanced (52.9%)Imbalance
급수시설구분명 is highly imbalanced (58.6%)Imbalance
총인원 is highly imbalanced (83.3%)Imbalance
본사종업원수 is highly imbalanced (83.2%)Imbalance
공장사무직종업원수 is highly imbalanced (83.2%)Imbalance
공장판매직종업원수 is highly imbalanced (83.2%)Imbalance
공장생산직종업원수 is highly imbalanced (83.2%)Imbalance
보증액 is highly imbalanced (83.2%)Imbalance
월세액 is highly imbalanced (83.2%)Imbalance
다중이용업소여부 is highly imbalanced (87.6%)Imbalance
전통업소지정번호 is highly imbalanced (72.5%)Imbalance
인허가취소일자 has 10000 (100.0%) missing valuesMissing
폐업일자 has 2298 (23.0%) 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 3841 (38.4%) missing valuesMissing
도로명주소 has 4698 (47.0%) missing valuesMissing
도로명우편번호 has 4755 (47.5%) missing valuesMissing
좌표정보(X) has 514 (5.1%) missing valuesMissing
좌표정보(Y) has 514 (5.1%) missing valuesMissing
남성종사자수 has 4768 (47.7%) missing valuesMissing
여성종사자수 has 4642 (46.4%) missing valuesMissing
건물소유구분명 has 10000 (100.0%) missing valuesMissing
다중이용업소여부 has 1569 (15.7%) missing valuesMissing
시설총규모 has 1569 (15.7%) missing valuesMissing
전통업소주된음식 has 9995 (> 99.9%) missing valuesMissing
홈페이지 has 10000 (100.0%) missing valuesMissing
남성종사자수 is highly skewed (γ1 = 55.98020335)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
홈페이지 is an unsupported type, check if it needs cleaning or further analysisUnsupported
남성종사자수 has 3962 (39.6%) zerosZeros
여성종사자수 has 3438 (34.4%) zerosZeros

Reproduction

Analysis started2024-05-10 23:51:30.871042
Analysis finished2024-05-10 23:51:35.850616
Duration4.98 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
3110000
10000 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3110000 10000
100.0%

Length

2024-05-10T23:51:36.049741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:51:36.526844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3110000 10000
100.0%

관리번호
Text

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-10T23:51:36.951890image/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 row3110000-101-2023-00053
2nd row3110000-101-1998-06233
3rd row3110000-101-2024-00058
4th row3110000-101-2017-00271
5th row3110000-101-1995-00540
ValueCountFrequency (%)
3110000-101-2023-00053 1
 
< 0.1%
3110000-101-2016-00323 1
 
< 0.1%
3110000-101-1993-07462 1
 
< 0.1%
3110000-101-1995-03202 1
 
< 0.1%
3110000-101-2013-00142 1
 
< 0.1%
3110000-101-2022-00354 1
 
< 0.1%
3110000-101-2017-00082 1
 
< 0.1%
3110000-101-2019-00220 1
 
< 0.1%
3110000-101-1976-07420 1
 
< 0.1%
3110000-101-2011-00305 1
 
< 0.1%
Other values (9990) 9990
99.9%
2024-05-10T23:51:37.907590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 80132
36.4%
1 51776
23.5%
- 30000
 
13.6%
3 15329
 
7.0%
2 13026
 
5.9%
9 9896
 
4.5%
8 4085
 
1.9%
4 4015
 
1.8%
5 3942
 
1.8%
7 3941
 
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 80132
42.2%
1 51776
27.3%
3 15329
 
8.1%
2 13026
 
6.9%
9 9896
 
5.2%
8 4085
 
2.1%
4 4015
 
2.1%
5 3942
 
2.1%
7 3941
 
2.1%
6 3858
 
2.0%
Dash Punctuation
ValueCountFrequency (%)
- 30000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 220000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 80132
36.4%
1 51776
23.5%
- 30000
 
13.6%
3 15329
 
7.0%
2 13026
 
5.9%
9 9896
 
4.5%
8 4085
 
1.9%
4 4015
 
1.8%
5 3942
 
1.8%
7 3941
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 220000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 80132
36.4%
1 51776
23.5%
- 30000
 
13.6%
3 15329
 
7.0%
2 13026
 
5.9%
9 9896
 
4.5%
8 4085
 
1.9%
4 4015
 
1.8%
5 3942
 
1.8%
7 3941
 
1.8%
Distinct6100
Distinct (%)61.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum1940-09-08 00:00:00
Maximum2024-05-08 00:00:00
2024-05-10T23:51:38.385055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T23:51:38.890532image/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
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
3
7702 
1
2298 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 7702
77.0%
1 2298
 
23.0%

Length

2024-05-10T23:51:39.505216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:51:39.818195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 7702
77.0%
1 2298
 
23.0%

영업상태명
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
폐업
7702 
영업/정상
2298 

Length

Max length5
Median length2
Mean length2.6894
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 7702
77.0%
영업/정상 2298
 
23.0%

Length

2024-05-10T23:51:40.348218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:51:40.765052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 7702
77.0%
영업/정상 2298
 
23.0%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2
7702 
1
2298 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 7702
77.0%
1 2298
 
23.0%

Length

2024-05-10T23:51:41.229323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:51:41.660734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 7702
77.0%
1 2298
 
23.0%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
폐업
7702 
영업
2298 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 7702
77.0%
영업 2298
 
23.0%

Length

2024-05-10T23:51:42.071623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:51:42.402727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 7702
77.0%
영업 2298
 
23.0%

폐업일자
Date

MISSING 

Distinct4298
Distinct (%)55.8%
Missing2298
Missing (%)23.0%
Memory size156.2 KiB
Minimum1989-01-31 00:00:00
Maximum2024-05-09 00:00:00
2024-05-10T23:51:42.925807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T23:51:43.603474image/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 

Distinct5301
Distinct (%)86.1%
Missing3841
Missing (%)38.4%
Memory size156.2 KiB
2024-05-10T23:51:44.519729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length9.4231206
Min length2

Characters and Unicode

Total characters58037
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5148 ?
Unique (%)83.6%

Sample

1st row02
2nd row02 3862908
3rd row02 3513151
4th row02 3549109
5th row02 7557776
ValueCountFrequency (%)
02 4572
42.7%
0200000000 47
 
0.4%
356 31
 
0.3%
388 24
 
0.2%
353 23
 
0.2%
070 22
 
0.2%
352 22
 
0.2%
355 21
 
0.2%
357 17
 
0.2%
385 17
 
0.2%
Other values (5369) 5913
55.2%
2024-05-10T23:51:46.053250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 11130
19.2%
2 9169
15.8%
3 8642
14.9%
5 5125
8.8%
5021
8.7%
8 4849
8.4%
7 3234
 
5.6%
9 2922
 
5.0%
6 2884
 
5.0%
4 2782
 
4.8%
Other values (3) 2279
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 53010
91.3%
Space Separator 5021
 
8.7%
Dash Punctuation 5
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 11130
21.0%
2 9169
17.3%
3 8642
16.3%
5 5125
9.7%
8 4849
9.1%
7 3234
 
6.1%
9 2922
 
5.5%
6 2884
 
5.4%
4 2782
 
5.2%
1 2273
 
4.3%
Space Separator
ValueCountFrequency (%)
5021
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Close Punctuation
ValueCountFrequency (%)
] 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 58037
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 11130
19.2%
2 9169
15.8%
3 8642
14.9%
5 5125
8.8%
5021
8.7%
8 4849
8.4%
7 3234
 
5.6%
9 2922
 
5.0%
6 2884
 
5.0%
4 2782
 
4.8%
Other values (3) 2279
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 58037
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 11130
19.2%
2 9169
15.8%
3 8642
14.9%
5 5125
8.8%
5021
8.7%
8 4849
8.4%
7 3234
 
5.6%
9 2922
 
5.0%
6 2884
 
5.0%
4 2782
 
4.8%
Other values (3) 2279
 
3.9%

소재지면적
Unsupported

REJECTED  UNSUPPORTED 

Missing29
Missing (%)0.3%
Memory size156.2 KiB
Distinct277
Distinct (%)2.8%
Missing3
Missing (%)< 0.1%
Memory size156.2 KiB
2024-05-10T23:51:47.049561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.106632
Min length6

Characters and Unicode

Total characters61048
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

Unique18 ?
Unique (%)0.2%

Sample

1st row122-924
2nd row122834
3rd row122-879
4th row122813
5th row122851
ValueCountFrequency (%)
122200 492
 
4.9%
122837 422
 
4.2%
122924 349
 
3.5%
122842 266
 
2.7%
122959 236
 
2.4%
122907 235
 
2.4%
122809 216
 
2.2%
122895 209
 
2.1%
122810 209
 
2.1%
122858 200
 
2.0%
Other values (267) 7163
71.7%
2024-05-10T23:51:48.440383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 22763
37.3%
1 12179
19.9%
8 7449
 
12.2%
9 5200
 
8.5%
0 4121
 
6.8%
3 2129
 
3.5%
5 1794
 
2.9%
4 1728
 
2.8%
7 1679
 
2.8%
- 1066
 
1.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 59982
98.3%
Dash Punctuation 1066
 
1.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 22763
37.9%
1 12179
20.3%
8 7449
 
12.4%
9 5200
 
8.7%
0 4121
 
6.9%
3 2129
 
3.5%
5 1794
 
3.0%
4 1728
 
2.9%
7 1679
 
2.8%
6 940
 
1.6%
Dash Punctuation
ValueCountFrequency (%)
- 1066
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 61048
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 22763
37.3%
1 12179
19.9%
8 7449
 
12.2%
9 5200
 
8.5%
0 4121
 
6.8%
3 2129
 
3.5%
5 1794
 
2.9%
4 1728
 
2.8%
7 1679
 
2.8%
- 1066
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 61048
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 22763
37.3%
1 12179
19.9%
8 7449
 
12.2%
9 5200
 
8.5%
0 4121
 
6.8%
3 2129
 
3.5%
5 1794
 
2.9%
4 1728
 
2.8%
7 1679
 
2.8%
- 1066
 
1.7%
Distinct8286
Distinct (%)82.9%
Missing3
Missing (%)< 0.1%
Memory size156.2 KiB
2024-05-10T23:51:49.075013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length84
Median length53
Mean length25.176653
Min length17

Characters and Unicode

Total characters251691
Distinct characters368
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7075 ?
Unique (%)70.8%

Sample

1st row서울특별시 은평구 응암동 591-9
2nd row서울특별시 은평구 녹번동 161-2번지
3rd row서울특별시 은평구 신사동 1-50 웅자하우스
4th row서울특별시 은평구 갈현동 462-48번지
5th row서울특별시 은평구 불광동 90-33번지
ValueCountFrequency (%)
은평구 10003
21.0%
서울특별시 9997
21.0%
1층 2887
 
6.1%
응암동 2034
 
4.3%
갈현동 1687
 
3.5%
불광동 1177
 
2.5%
대조동 1096
 
2.3%
역촌동 960
 
2.0%
지상1층 698
 
1.5%
녹번동 698
 
1.5%
Other values (6396) 16391
34.4%
2024-05-10T23:51:50.074996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
45820
18.2%
1 13760
 
5.5%
10381
 
4.1%
10310
 
4.1%
10184
 
4.0%
10178
 
4.0%
10049
 
4.0%
10038
 
4.0%
10003
 
4.0%
9997
 
4.0%
Other values (358) 110971
44.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 141687
56.3%
Decimal Number 50732
 
20.2%
Space Separator 45820
 
18.2%
Dash Punctuation 9461
 
3.8%
Open Punctuation 1607
 
0.6%
Close Punctuation 1606
 
0.6%
Other Punctuation 430
 
0.2%
Uppercase Letter 327
 
0.1%
Lowercase Letter 11
 
< 0.1%
Math Symbol 7
 
< 0.1%
Other values (2) 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
10381
 
7.3%
10310
 
7.3%
10184
 
7.2%
10178
 
7.2%
10049
 
7.1%
10038
 
7.1%
10003
 
7.1%
9997
 
7.1%
9997
 
7.1%
9363
 
6.6%
Other values (308) 41187
29.1%
Uppercase Letter
ValueCountFrequency (%)
B 96
29.4%
A 66
20.2%
C 38
 
11.6%
D 37
 
11.3%
M 16
 
4.9%
S 12
 
3.7%
I 11
 
3.4%
N 10
 
3.1%
L 10
 
3.1%
T 6
 
1.8%
Other values (12) 25
 
7.6%
Decimal Number
ValueCountFrequency (%)
1 13760
27.1%
2 6825
13.5%
3 4861
 
9.6%
4 4854
 
9.6%
5 4108
 
8.1%
0 3881
 
7.7%
9 3598
 
7.1%
6 3020
 
6.0%
7 2934
 
5.8%
8 2891
 
5.7%
Other Punctuation
ValueCountFrequency (%)
, 410
95.3%
. 15
 
3.5%
; 1
 
0.2%
/ 1
 
0.2%
? 1
 
0.2%
@ 1
 
0.2%
& 1
 
0.2%
Lowercase Letter
ValueCountFrequency (%)
e 9
81.8%
a 1
 
9.1%
b 1
 
9.1%
Open Punctuation
ValueCountFrequency (%)
( 1606
99.9%
[ 1
 
0.1%
Space Separator
ValueCountFrequency (%)
45820
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9461
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1606
100.0%
Math Symbol
ValueCountFrequency (%)
~ 7
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 2
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 141687
56.3%
Common 109666
43.6%
Latin 338
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
10381
 
7.3%
10310
 
7.3%
10184
 
7.2%
10178
 
7.2%
10049
 
7.1%
10038
 
7.1%
10003
 
7.1%
9997
 
7.1%
9997
 
7.1%
9363
 
6.6%
Other values (308) 41187
29.1%
Common
ValueCountFrequency (%)
45820
41.8%
1 13760
 
12.5%
- 9461
 
8.6%
2 6825
 
6.2%
3 4861
 
4.4%
4 4854
 
4.4%
5 4108
 
3.7%
0 3881
 
3.5%
9 3598
 
3.3%
6 3020
 
2.8%
Other values (15) 9478
 
8.6%
Latin
ValueCountFrequency (%)
B 96
28.4%
A 66
19.5%
C 38
 
11.2%
D 37
 
10.9%
M 16
 
4.7%
S 12
 
3.6%
I 11
 
3.3%
N 10
 
3.0%
L 10
 
3.0%
e 9
 
2.7%
Other values (15) 33
 
9.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 141683
56.3%
ASCII 110004
43.7%
Compat Jamo 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
45820
41.7%
1 13760
 
12.5%
- 9461
 
8.6%
2 6825
 
6.2%
3 4861
 
4.4%
4 4854
 
4.4%
5 4108
 
3.7%
0 3881
 
3.5%
9 3598
 
3.3%
6 3020
 
2.7%
Other values (40) 9816
 
8.9%
Hangul
ValueCountFrequency (%)
10381
 
7.3%
10310
 
7.3%
10184
 
7.2%
10178
 
7.2%
10049
 
7.1%
10038
 
7.1%
10003
 
7.1%
9997
 
7.1%
9997
 
7.1%
9363
 
6.6%
Other values (304) 41183
29.1%
Compat Jamo
ValueCountFrequency (%)
1
25.0%
1
25.0%
1
25.0%
1
25.0%

도로명주소
Text

MISSING 

Distinct4621
Distinct (%)87.2%
Missing4698
Missing (%)47.0%
Memory size156.2 KiB
2024-05-10T23:51:50.854036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length66
Median length62
Mean length30.894379
Min length21

Characters and Unicode

Total characters163802
Distinct characters356
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4109 ?
Unique (%)77.5%

Sample

1st row서울특별시 은평구 응암로13길 22, 2층 (응암동)
2nd row서울특별시 은평구 갈현로4길 26, 웅자하우스 2층 (신사동)
3rd row서울특별시 은평구 연서로 183 (갈현동)
4th row서울특별시 은평구 진관4로 78-8 (진관동,상림마을 701동104호 지상1층)
5th row서울특별시 은평구 서오릉로15길 5-5, 1층 (구산동)
ValueCountFrequency (%)
은평구 5306
 
15.9%
서울특별시 5302
 
15.9%
1층 3208
 
9.6%
응암동 1003
 
3.0%
갈현동 905
 
2.7%
불광동 608
 
1.8%
대조동 558
 
1.7%
역촌동 541
 
1.6%
2층 386
 
1.2%
통일로 365
 
1.1%
Other values (2446) 15265
45.6%
2024-05-10T23:51:52.168087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
28158
 
17.2%
1 9810
 
6.0%
6770
 
4.1%
5992
 
3.7%
5985
 
3.7%
5595
 
3.4%
5513
 
3.4%
, 5506
 
3.4%
) 5462
 
3.3%
( 5462
 
3.3%
Other values (346) 79549
48.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 90823
55.4%
Space Separator 28158
 
17.2%
Decimal Number 26489
 
16.2%
Other Punctuation 5518
 
3.4%
Close Punctuation 5462
 
3.3%
Open Punctuation 5462
 
3.3%
Dash Punctuation 1549
 
0.9%
Uppercase Letter 305
 
0.2%
Lowercase Letter 20
 
< 0.1%
Math Symbol 16
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
6770
 
7.5%
5992
 
6.6%
5985
 
6.6%
5595
 
6.2%
5513
 
6.1%
5349
 
5.9%
5305
 
5.8%
5302
 
5.8%
5302
 
5.8%
5154
 
5.7%
Other values (299) 34556
38.0%
Uppercase Letter
ValueCountFrequency (%)
B 96
31.5%
A 47
15.4%
C 38
 
12.5%
D 30
 
9.8%
M 18
 
5.9%
L 15
 
4.9%
I 11
 
3.6%
N 11
 
3.6%
S 10
 
3.3%
T 6
 
2.0%
Other values (11) 23
 
7.5%
Decimal Number
ValueCountFrequency (%)
1 9810
37.0%
2 4106
15.5%
3 2298
 
8.7%
0 2118
 
8.0%
7 1474
 
5.6%
4 1445
 
5.5%
9 1398
 
5.3%
5 1312
 
5.0%
6 1303
 
4.9%
8 1225
 
4.6%
Lowercase Letter
ValueCountFrequency (%)
e 9
45.0%
c 4
20.0%
s 2
 
10.0%
a 2
 
10.0%
b 2
 
10.0%
u 1
 
5.0%
Other Punctuation
ValueCountFrequency (%)
, 5506
99.8%
. 8
 
0.1%
? 2
 
< 0.1%
/ 1
 
< 0.1%
@ 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
28158
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5462
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5462
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1549
100.0%
Math Symbol
ValueCountFrequency (%)
~ 16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 90822
55.4%
Common 72654
44.4%
Latin 325
 
0.2%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
6770
 
7.5%
5992
 
6.6%
5985
 
6.6%
5595
 
6.2%
5513
 
6.1%
5349
 
5.9%
5305
 
5.8%
5302
 
5.8%
5302
 
5.8%
5154
 
5.7%
Other values (298) 34555
38.0%
Latin
ValueCountFrequency (%)
B 96
29.5%
A 47
14.5%
C 38
 
11.7%
D 30
 
9.2%
M 18
 
5.5%
L 15
 
4.6%
I 11
 
3.4%
N 11
 
3.4%
S 10
 
3.1%
e 9
 
2.8%
Other values (17) 40
12.3%
Common
ValueCountFrequency (%)
28158
38.8%
1 9810
 
13.5%
, 5506
 
7.6%
) 5462
 
7.5%
( 5462
 
7.5%
2 4106
 
5.7%
3 2298
 
3.2%
0 2118
 
2.9%
- 1549
 
2.1%
7 1474
 
2.0%
Other values (10) 6711
 
9.2%
Han
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 90822
55.4%
ASCII 72979
44.6%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
28158
38.6%
1 9810
 
13.4%
, 5506
 
7.5%
) 5462
 
7.5%
( 5462
 
7.5%
2 4106
 
5.6%
3 2298
 
3.1%
0 2118
 
2.9%
- 1549
 
2.1%
7 1474
 
2.0%
Other values (37) 7036
 
9.6%
Hangul
ValueCountFrequency (%)
6770
 
7.5%
5992
 
6.6%
5985
 
6.6%
5595
 
6.2%
5513
 
6.1%
5349
 
5.9%
5305
 
5.8%
5302
 
5.8%
5302
 
5.8%
5154
 
5.7%
Other values (298) 34555
38.0%
CJK
ValueCountFrequency (%)
1
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct198
Distinct (%)3.8%
Missing4755
Missing (%)47.5%
Infinite0
Infinite (%)0.0%
Mean3398.4845
Minimum3300
Maximum3506
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-10T23:51:52.693209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3300
5-th percentile3307
Q13340
median3396
Q33456
95-th percentile3489
Maximum3506
Range206
Interquartile range (IQR)116

Descriptive statistics

Standard deviation59.982174
Coefficient of variation (CV)0.017649683
Kurtosis-1.2571215
Mean3398.4845
Median Absolute Deviation (MAD)59
Skewness0.080596927
Sum17825051
Variance3597.8612
MonotonicityNot monotonic
2024-05-10T23:51:53.266774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3330 216
 
2.2%
3331 155
 
1.6%
3485 141
 
1.4%
3397 122
 
1.2%
3306 103
 
1.0%
3368 100
 
1.0%
3385 83
 
0.8%
3328 79
 
0.8%
3329 77
 
0.8%
3466 75
 
0.8%
Other values (188) 4094
40.9%
(Missing) 4755
47.5%
ValueCountFrequency (%)
3300 21
 
0.2%
3301 65
0.7%
3302 17
 
0.2%
3303 19
 
0.2%
3304 9
 
0.1%
3305 2
 
< 0.1%
3306 103
1.0%
3307 62
0.6%
3308 11
 
0.1%
3310 8
 
0.1%
ValueCountFrequency (%)
3506 17
0.2%
3505 12
 
0.1%
3504 18
0.2%
3503 16
0.2%
3502 15
0.1%
3501 8
 
0.1%
3500 36
0.4%
3499 35
0.4%
3498 10
 
0.1%
3497 35
0.4%
Distinct8706
Distinct (%)87.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-10T23:51:54.209371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length30
Mean length5.4997
Min length1

Characters and Unicode

Total characters54997
Distinct characters1100
Distinct categories14 ?
Distinct scripts5 ?
Distinct blocks9 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7947 ?
Unique (%)79.5%

Sample

1st row헤븐 바
2nd row대포항회마트
3rd row와우당냉면&참숯목살갈비 은평점
4th row덕뽀리 오리바베큐 갈현점
5th row원조감자탕
ValueCountFrequency (%)
은평점 87
 
0.7%
연신내점 81
 
0.6%
응암점 50
 
0.4%
포차 33
 
0.3%
카페 33
 
0.3%
불광점 33
 
0.3%
역촌점 32
 
0.3%
떡볶이 31
 
0.2%
김밥천국 28
 
0.2%
치킨 25
 
0.2%
Other values (9287) 12279
96.6%
2024-05-10T23:51:55.882925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2770
 
5.0%
1152
 
2.1%
1103
 
2.0%
916
 
1.7%
769
 
1.4%
760
 
1.4%
750
 
1.4%
647
 
1.2%
582
 
1.1%
547
 
1.0%
Other values (1090) 45001
81.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 48955
89.0%
Space Separator 2770
 
5.0%
Lowercase Letter 901
 
1.6%
Uppercase Letter 886
 
1.6%
Decimal Number 464
 
0.8%
Close Punctuation 399
 
0.7%
Open Punctuation 399
 
0.7%
Other Punctuation 205
 
0.4%
Dash Punctuation 10
 
< 0.1%
Modifier Symbol 2
 
< 0.1%
Other values (4) 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1152
 
2.4%
1103
 
2.3%
916
 
1.9%
769
 
1.6%
760
 
1.6%
750
 
1.5%
647
 
1.3%
582
 
1.2%
547
 
1.1%
530
 
1.1%
Other values (1003) 41199
84.2%
Lowercase Letter
ValueCountFrequency (%)
e 128
14.2%
o 95
 
10.5%
a 80
 
8.9%
i 68
 
7.5%
s 50
 
5.5%
f 49
 
5.4%
n 47
 
5.2%
t 46
 
5.1%
r 44
 
4.9%
c 41
 
4.6%
Other values (16) 253
28.1%
Uppercase Letter
ValueCountFrequency (%)
A 78
 
8.8%
C 74
 
8.4%
B 71
 
8.0%
O 69
 
7.8%
E 62
 
7.0%
M 46
 
5.2%
S 43
 
4.9%
F 42
 
4.7%
P 40
 
4.5%
N 39
 
4.4%
Other values (16) 322
36.3%
Other Punctuation
ValueCountFrequency (%)
& 81
39.5%
. 65
31.7%
, 22
 
10.7%
? 11
 
5.4%
' 8
 
3.9%
# 4
 
2.0%
: 4
 
2.0%
! 4
 
2.0%
/ 3
 
1.5%
1
 
0.5%
Other values (2) 2
 
1.0%
Decimal Number
ValueCountFrequency (%)
1 95
20.5%
2 65
14.0%
0 61
13.1%
9 50
10.8%
8 40
8.6%
7 37
 
8.0%
3 34
 
7.3%
5 34
 
7.3%
4 27
 
5.8%
6 21
 
4.5%
Open Punctuation
ValueCountFrequency (%)
( 398
99.7%
[ 1
 
0.3%
Modifier Symbol
ValueCountFrequency (%)
` 1
50.0%
´ 1
50.0%
Other Symbol
ValueCountFrequency (%)
° 1
50.0%
1
50.0%
Math Symbol
ValueCountFrequency (%)
= 1
50.0%
+ 1
50.0%
Space Separator
ValueCountFrequency (%)
2770
100.0%
Close Punctuation
ValueCountFrequency (%)
) 399
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%
Final Punctuation
ValueCountFrequency (%)
1
100.0%
Letter Number
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 48905
88.9%
Common 4254
 
7.7%
Latin 1788
 
3.3%
Han 47
 
0.1%
Hiragana 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1152
 
2.4%
1103
 
2.3%
916
 
1.9%
769
 
1.6%
760
 
1.6%
750
 
1.5%
647
 
1.3%
582
 
1.2%
547
 
1.1%
530
 
1.1%
Other values (962) 41149
84.1%
Latin
ValueCountFrequency (%)
e 128
 
7.2%
o 95
 
5.3%
a 80
 
4.5%
A 78
 
4.4%
C 74
 
4.1%
B 71
 
4.0%
O 69
 
3.9%
i 68
 
3.8%
E 62
 
3.5%
s 50
 
2.8%
Other values (43) 1013
56.7%
Han
ValueCountFrequency (%)
3
 
6.4%
3
 
6.4%
3
 
6.4%
2
 
4.3%
2
 
4.3%
2
 
4.3%
1
 
2.1%
1
 
2.1%
1
 
2.1%
1
 
2.1%
Other values (28) 28
59.6%
Common
ValueCountFrequency (%)
2770
65.1%
) 399
 
9.4%
( 398
 
9.4%
1 95
 
2.2%
& 81
 
1.9%
2 65
 
1.5%
. 65
 
1.5%
0 61
 
1.4%
9 50
 
1.2%
8 40
 
0.9%
Other values (24) 230
 
5.4%
Hiragana
ValueCountFrequency (%)
1
33.3%
1
33.3%
1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 48905
88.9%
ASCII 6036
 
11.0%
CJK 46
 
0.1%
None 3
 
< 0.1%
Hiragana 3
 
< 0.1%
Punctuation 1
 
< 0.1%
CJK Compat Ideographs 1
 
< 0.1%
Letterlike Symbols 1
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2770
45.9%
) 399
 
6.6%
( 398
 
6.6%
e 128
 
2.1%
1 95
 
1.6%
o 95
 
1.6%
& 81
 
1.3%
a 80
 
1.3%
A 78
 
1.3%
C 74
 
1.2%
Other values (71) 1838
30.5%
Hangul
ValueCountFrequency (%)
1152
 
2.4%
1103
 
2.3%
916
 
1.9%
769
 
1.6%
760
 
1.6%
750
 
1.5%
647
 
1.3%
582
 
1.2%
547
 
1.1%
530
 
1.1%
Other values (962) 41149
84.1%
CJK
ValueCountFrequency (%)
3
 
6.5%
3
 
6.5%
3
 
6.5%
2
 
4.3%
2
 
4.3%
2
 
4.3%
1
 
2.2%
1
 
2.2%
1
 
2.2%
1
 
2.2%
Other values (27) 27
58.7%
Punctuation
ValueCountFrequency (%)
1
100.0%
CJK Compat Ideographs
ValueCountFrequency (%)
1
100.0%
None
ValueCountFrequency (%)
° 1
33.3%
1
33.3%
´ 1
33.3%
Letterlike Symbols
ValueCountFrequency (%)
1
100.0%
Number Forms
ValueCountFrequency (%)
1
100.0%
Hiragana
ValueCountFrequency (%)
1
33.3%
1
33.3%
1
33.3%
Distinct7227
Distinct (%)72.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum1999-01-04 00:00:00
Maximum2024-05-09 17:17:19
2024-05-10T23:51:56.487012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T23:51:57.052164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
I
7476 
U
2524 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 7476
74.8%
U 2524
 
25.2%

Length

2024-05-10T23:51:57.562995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:51:57.890979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 7476
74.8%
u 2524
 
25.2%
Distinct1330
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:09:00
2024-05-10T23:51:58.364478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T23:51:58.928585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

Distinct25
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
한식
4406 
분식
1950 
호프/통닭
957 
기타
711 
경양식
583 
Other values (20)
1393 

Length

Max length15
Median length2
Mean length2.7526
Min length2

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st row한식
2nd row일식
3rd row한식
4th row한식
5th row한식

Common Values

ValueCountFrequency (%)
한식 4406
44.1%
분식 1950
19.5%
호프/통닭 957
 
9.6%
기타 711
 
7.1%
경양식 583
 
5.8%
일식 366
 
3.7%
중국식 280
 
2.8%
통닭(치킨) 270
 
2.7%
정종/대포집/소주방 265
 
2.6%
패스트푸드 55
 
0.5%
Other values (15) 157
 
1.6%

Length

2024-05-10T23:51:59.502788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
한식 4406
44.1%
분식 1950
19.5%
호프/통닭 957
 
9.6%
기타 711
 
7.1%
경양식 583
 
5.8%
일식 366
 
3.7%
중국식 280
 
2.8%
통닭(치킨 270
 
2.7%
정종/대포집/소주방 265
 
2.6%
패스트푸드 55
 
0.5%
Other values (15) 157
 
1.6%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct4077
Distinct (%)43.0%
Missing514
Missing (%)5.1%
Infinite0
Infinite (%)0.0%
Mean192790.7
Minimum189731.24
Maximum195976.49
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-10T23:51:59.885141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum189731.24
5-th percentile191615.27
Q1192422.04
median192779.39
Q3193229.19
95-th percentile193922.81
Maximum195976.49
Range6245.2443
Interquartile range (IQR)807.15539

Descriptive statistics

Standard deviation749.0998
Coefficient of variation (CV)0.0038855599
Kurtosis1.5976308
Mean192790.7
Median Absolute Deviation (MAD)399.22492
Skewness-0.37380553
Sum1.8288125 × 109
Variance561150.5
MonotonicityNot monotonic
2024-05-10T23:52:00.334240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
193661.732383169 79
 
0.8%
191545.050373675 29
 
0.3%
192798.659161134 28
 
0.3%
194002.701726955 22
 
0.2%
192920.728012559 18
 
0.2%
192812.253774617 18
 
0.2%
193055.040282 17
 
0.2%
193630.612534041 17
 
0.2%
192661.661318718 17
 
0.2%
192800.902227864 16
 
0.2%
Other values (4067) 9225
92.2%
(Missing) 514
 
5.1%
ValueCountFrequency (%)
189731.241751445 3
< 0.1%
189736.227998038 3
< 0.1%
189738.963191354 5
0.1%
189740.125684405 1
 
< 0.1%
189748.841711004 1
 
< 0.1%
189765.483630488 1
 
< 0.1%
189770.309370803 1
 
< 0.1%
189793.673057417 2
 
< 0.1%
189799.54687319 3
< 0.1%
189808.819468233 1
 
< 0.1%
ValueCountFrequency (%)
195976.486005601 2
< 0.1%
195827.082642573 1
< 0.1%
195581.364111045 1
< 0.1%
195559.3035 1
< 0.1%
195524.743560367 1
< 0.1%
195504.203242847 1
< 0.1%
195498.306937492 2
< 0.1%
195463.961069052 1
< 0.1%
195451.903894074 1
< 0.1%
195419.855180812 1
< 0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct4077
Distinct (%)43.0%
Missing514
Missing (%)5.1%
Infinite0
Infinite (%)0.0%
Mean456114.89
Minimum452890
Maximum461783.92
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-10T23:52:00.981376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum452890
5-th percentile453613.37
Q1455077.77
median456180.52
Q3457302.33
95-th percentile458192.12
Maximum461783.92
Range8893.9125
Interquartile range (IQR)2224.567

Descriptive statistics

Standard deviation1567.8006
Coefficient of variation (CV)0.0034372931
Kurtosis0.28019782
Mean456114.89
Median Absolute Deviation (MAD)1112.8913
Skewness0.32026976
Sum4.3267058 × 109
Variance2457998.6
MonotonicityNot monotonic
2024-05-10T23:52:01.419437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
456379.193899276 79
 
0.8%
453244.229758597 29
 
0.3%
459646.827222065 28
 
0.3%
456937.542510222 22
 
0.2%
456218.215950436 18
 
0.2%
459266.981388393 18
 
0.2%
459903.972312 17
 
0.2%
456543.824996823 17
 
0.2%
453828.585982771 17
 
0.2%
459540.593409197 16
 
0.2%
Other values (4067) 9225
92.2%
(Missing) 514
 
5.1%
ValueCountFrequency (%)
452890.003005512 1
 
< 0.1%
452924.117735363 1
 
< 0.1%
452926.321686795 1
 
< 0.1%
452946.246733537 4
< 0.1%
452965.43150519 6
0.1%
452975.488380827 1
 
< 0.1%
452992.137815337 7
0.1%
453004.338574203 5
0.1%
453012.211888517 1
 
< 0.1%
453021.346103882 4
< 0.1%
ValueCountFrequency (%)
461783.915461951 1
 
< 0.1%
461736.052914583 2
< 0.1%
461719.028640821 1
 
< 0.1%
461701.38940861 3
< 0.1%
461649.936460801 1
 
< 0.1%
461610.341071848 2
< 0.1%
461584.700702146 1
 
< 0.1%
461552.383659581 1
 
< 0.1%
461544.313516592 1
 
< 0.1%
461536.107826838 1
 
< 0.1%

위생업태명
Categorical

Distinct26
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
한식
3516 
분식
1874 
<NA>
1569 
호프/통닭
809 
경양식
534 
Other values (21)
1698 

Length

Max length15
Median length2
Mean length2.985
Min length2

Unique

Unique4 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
한식 3516
35.2%
분식 1874
18.7%
<NA> 1569
15.7%
호프/통닭 809
 
8.1%
경양식 534
 
5.3%
기타 467
 
4.7%
일식 306
 
3.1%
정종/대포집/소주방 252
 
2.5%
통닭(치킨) 251
 
2.5%
중국식 237
 
2.4%
Other values (16) 185
 
1.8%

Length

2024-05-10T23:52:01.803169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
한식 3516
35.2%
분식 1874
18.7%
na 1569
15.7%
호프/통닭 809
 
8.1%
경양식 534
 
5.3%
기타 467
 
4.7%
일식 306
 
3.1%
정종/대포집/소주방 252
 
2.5%
통닭(치킨 251
 
2.5%
중국식 237
 
2.4%
Other values (16) 185
 
1.8%

남성종사자수
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct8
Distinct (%)0.2%
Missing4768
Missing (%)47.7%
Infinite0
Infinite (%)0.0%
Mean0.30122324
Minimum0
Maximum93
Zeros3962
Zeros (%)39.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-10T23:52:02.007691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum93
Range93
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.3974382
Coefficient of variation (CV)4.6392111
Kurtosis3703.1739
Mean0.30122324
Median Absolute Deviation (MAD)0
Skewness55.980203
Sum1576
Variance1.9528335
MonotonicityNot monotonic
2024-05-10T23:52:02.313140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 3962
39.6%
1 1095
 
10.9%
2 146
 
1.5%
3 22
 
0.2%
4 4
 
< 0.1%
8 1
 
< 0.1%
93 1
 
< 0.1%
6 1
 
< 0.1%
(Missing) 4768
47.7%
ValueCountFrequency (%)
0 3962
39.6%
1 1095
 
10.9%
2 146
 
1.5%
3 22
 
0.2%
4 4
 
< 0.1%
6 1
 
< 0.1%
8 1
 
< 0.1%
93 1
 
< 0.1%
ValueCountFrequency (%)
93 1
 
< 0.1%
8 1
 
< 0.1%
6 1
 
< 0.1%
4 4
 
< 0.1%
3 22
 
0.2%
2 146
 
1.5%
1 1095
 
10.9%
0 3962
39.6%

여성종사자수
Real number (ℝ)

MISSING  ZEROS 

Distinct10
Distinct (%)0.2%
Missing4642
Missing (%)46.4%
Infinite0
Infinite (%)0.0%
Mean0.47443076
Minimum0
Maximum20
Zeros3438
Zeros (%)34.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-10T23:52:02.644221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum20
Range20
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.83354142
Coefficient of variation (CV)1.7569296
Kurtosis120.94912
Mean0.47443076
Median Absolute Deviation (MAD)0
Skewness6.5767494
Sum2542
Variance0.6947913
MonotonicityNot monotonic
2024-05-10T23:52:03.016673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 3438
34.4%
1 1452
 
14.5%
2 395
 
4.0%
3 52
 
0.5%
5 7
 
0.1%
4 6
 
0.1%
6 3
 
< 0.1%
20 2
 
< 0.1%
10 2
 
< 0.1%
7 1
 
< 0.1%
(Missing) 4642
46.4%
ValueCountFrequency (%)
0 3438
34.4%
1 1452
14.5%
2 395
 
4.0%
3 52
 
0.5%
4 6
 
0.1%
5 7
 
0.1%
6 3
 
< 0.1%
7 1
 
< 0.1%
10 2
 
< 0.1%
20 2
 
< 0.1%
ValueCountFrequency (%)
20 2
 
< 0.1%
10 2
 
< 0.1%
7 1
 
< 0.1%
6 3
 
< 0.1%
5 7
 
0.1%
4 6
 
0.1%
3 52
 
0.5%
2 395
 
4.0%
1 1452
14.5%
0 3438
34.4%
Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
주택가주변
4227 
<NA>
1887 
기타
1852 
학교정화(상대)
1608 
유흥업소밀집지역
 
168
Other values (3)
 
258

Length

Max length8
Median length7
Mean length4.838
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row주택가주변
3rd row<NA>
4th row학교정화(상대)
5th row주택가주변

Common Values

ValueCountFrequency (%)
주택가주변 4227
42.3%
<NA> 1887
18.9%
기타 1852
18.5%
학교정화(상대) 1608
 
16.1%
유흥업소밀집지역 168
 
1.7%
학교정화(절대) 153
 
1.5%
아파트지역 87
 
0.9%
결혼예식장주변 18
 
0.2%

Length

2024-05-10T23:52:03.439857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:52:03.723111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
주택가주변 4227
42.3%
na 1887
18.9%
기타 1852
18.5%
학교정화(상대 1608
 
16.1%
유흥업소밀집지역 168
 
1.7%
학교정화(절대 153
 
1.5%
아파트지역 87
 
0.9%
결혼예식장주변 18
 
0.2%

등급구분명
Categorical

IMBALANCE 

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
자율
6861 
<NA>
2010 
 
522
지도
 
269
 
213
Other values (3)
 
125

Length

Max length4
Median length2
Mean length2.3285
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
자율 6861
68.6%
<NA> 2010
 
20.1%
522
 
5.2%
지도 269
 
2.7%
213
 
2.1%
기타 86
 
0.9%
우수 24
 
0.2%
관리 15
 
0.1%

Length

2024-05-10T23:52:04.385899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:52:04.833094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
자율 6861
68.6%
na 2010
 
20.1%
522
 
5.2%
지도 269
 
2.7%
213
 
2.1%
기타 86
 
0.9%
우수 24
 
0.2%
관리 15
 
0.1%

급수시설구분명
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
상수도전용
7630 
<NA>
2322 
상수도(음용)지하수(주방용)겸용
 
38
지하수전용
 
10

Length

Max length17
Median length5
Mean length4.8134
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
상수도전용 7630
76.3%
<NA> 2322
 
23.2%
상수도(음용)지하수(주방용)겸용 38
 
0.4%
지하수전용 10
 
0.1%

Length

2024-05-10T23:52:05.245541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:52:05.601774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
상수도전용 7630
76.3%
na 2322
 
23.2%
상수도(음용)지하수(주방용)겸용 38
 
0.4%
지하수전용 10
 
0.1%

총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9754 
0
 
246

Length

Max length4
Median length4
Mean length3.9262
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> 9754
97.5%
0 246
 
2.5%

Length

2024-05-10T23:52:06.014892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:52:06.454524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9754
97.5%
0 246
 
2.5%

본사종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9751 
0
 
249

Length

Max length4
Median length4
Mean length3.9253
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> 9751
97.5%
0 249
 
2.5%

Length

2024-05-10T23:52:06.906980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:52:07.301392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9751
97.5%
0 249
 
2.5%

공장사무직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9751 
0
 
249

Length

Max length4
Median length4
Mean length3.9253
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> 9751
97.5%
0 249
 
2.5%

Length

2024-05-10T23:52:07.691362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:52:08.011659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9751
97.5%
0 249
 
2.5%

공장판매직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9751 
0
 
249

Length

Max length4
Median length4
Mean length3.9253
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> 9751
97.5%
0 249
 
2.5%

Length

2024-05-10T23:52:08.354992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:52:08.684329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9751
97.5%
0 249
 
2.5%

공장생산직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9751 
0
 
249

Length

Max length4
Median length4
Mean length3.9253
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> 9751
97.5%
0 249
 
2.5%

Length

2024-05-10T23:52:09.036482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:52:09.374916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9751
97.5%
0 249
 
2.5%

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>
9751 
0
 
249

Length

Max length4
Median length4
Mean length3.9253
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> 9751
97.5%
0 249
 
2.5%

Length

2024-05-10T23:52:09.734969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:52:10.078297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9751
97.5%
0 249
 
2.5%

월세액
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9751 
0
 
249

Length

Max length4
Median length4
Mean length3.9253
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> 9751
97.5%
0 249
 
2.5%

Length

2024-05-10T23:52:10.480456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:52:10.808169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9751
97.5%
0 249
 
2.5%

다중이용업소여부
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)< 0.1%
Missing1569
Missing (%)15.7%
Memory size97.7 KiB
False
8288 
True
 
143
(Missing)
1569 
ValueCountFrequency (%)
False 8288
82.9%
True 143
 
1.4%
(Missing) 1569
 
15.7%
2024-05-10T23:52:11.102424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

MISSING 

Distinct4324
Distinct (%)51.3%
Missing1569
Missing (%)15.7%
Infinite0
Infinite (%)0.0%
Mean54.449918
Minimum0
Maximum2083.27
Zeros26
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-10T23:52:11.571463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile14.85
Q124.07
median35.7
Q365.965
95-th percentile140
Maximum2083.27
Range2083.27
Interquartile range (IQR)41.895

Descriptive statistics

Standard deviation65.661023
Coefficient of variation (CV)1.2058975
Kurtosis214.22806
Mean54.449918
Median Absolute Deviation (MAD)15.7
Skewness10.422044
Sum459067.26
Variance4311.3699
MonotonicityNot monotonic
2024-05-10T23:52:12.234862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
33.0 73
 
0.7%
26.4 59
 
0.6%
23.1 53
 
0.5%
24.0 51
 
0.5%
27.0 48
 
0.5%
30.0 45
 
0.4%
66.0 44
 
0.4%
29.7 42
 
0.4%
21.0 40
 
0.4%
16.5 38
 
0.4%
Other values (4314) 7938
79.4%
(Missing) 1569
 
15.7%
ValueCountFrequency (%)
0.0 26
0.3%
2.98 1
 
< 0.1%
3.3 1
 
< 0.1%
4.0 1
 
< 0.1%
4.16 1
 
< 0.1%
4.29 1
 
< 0.1%
4.53 1
 
< 0.1%
4.99 1
 
< 0.1%
5.0 1
 
< 0.1%
5.28 1
 
< 0.1%
ValueCountFrequency (%)
2083.27 1
< 0.1%
1557.6 1
< 0.1%
1499.8 1
< 0.1%
1407.0 1
< 0.1%
986.24 1
< 0.1%
919.65 1
< 0.1%
859.0 1
< 0.1%
842.14 1
< 0.1%
731.67 1
< 0.1%
689.44 1
< 0.1%

전통업소지정번호
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9526 
00000
 
474

Length

Max length5
Median length4
Mean length4.0474
Min length4

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> 9526
95.3%
00000 474
 
4.7%

Length

2024-05-10T23:52:12.683142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:52:13.068094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9526
95.3%
00000 474
 
4.7%
Distinct5
Distinct (%)100.0%
Missing9995
Missing (%)> 99.9%
Memory size156.2 KiB
2024-05-10T23:52:13.580979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length2.8
Min length1

Characters and Unicode

Total characters14
Distinct characters13
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st row`
2nd row돼지갈비
3rd row보쌈
4th row추어탕
5th row장어구이
ValueCountFrequency (%)
1
20.0%
돼지갈비 1
20.0%
보쌈 1
20.0%
추어탕 1
20.0%
장어구이 1
20.0%
2024-05-10T23:52:14.684965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2
14.3%
` 1
 
7.1%
1
 
7.1%
1
 
7.1%
1
 
7.1%
1
 
7.1%
1
 
7.1%
1
 
7.1%
1
 
7.1%
1
 
7.1%
Other values (3) 3
21.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13
92.9%
Modifier Symbol 1
 
7.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2
15.4%
1
7.7%
1
7.7%
1
7.7%
1
7.7%
1
7.7%
1
7.7%
1
7.7%
1
7.7%
1
7.7%
Other values (2) 2
15.4%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 13
92.9%
Common 1
 
7.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2
15.4%
1
7.7%
1
7.7%
1
7.7%
1
7.7%
1
7.7%
1
7.7%
1
7.7%
1
7.7%
1
7.7%
Other values (2) 2
15.4%
Common
ValueCountFrequency (%)
` 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 13
92.9%
ASCII 1
 
7.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
2
15.4%
1
7.7%
1
7.7%
1
7.7%
1
7.7%
1
7.7%
1
7.7%
1
7.7%
1
7.7%
1
7.7%
Other values (2) 2
15.4%
ASCII
ValueCountFrequency (%)
` 1
100.0%

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
1611231100003110000-101-2023-000532023-02-14<NA>1영업/정상1영업<NA><NA><NA><NA><NA>99.17122-924서울특별시 은평구 응암동 591-9서울특별시 은평구 응암로13길 22, 2층 (응암동)3484헤븐 바2023-03-28 11:41:59U2022-12-02 21:00:00.0한식<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
547531100003110000-101-1998-0623319981121<NA>3폐업2폐업20010306<NA><NA><NA>02130.96122834서울특별시 은평구 녹번동 161-2번지<NA><NA>대포항회마트2001-03-06 00:00:00I2018-08-31 23:59:59.0일식193088.045803455842.053651일식12주택가주변자율상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N130.96<NA><NA><NA>
1656331100003110000-101-2024-000582024-02-20<NA>1영업/정상1영업<NA><NA><NA><NA><NA>13.2122-879서울특별시 은평구 신사동 1-50 웅자하우스서울특별시 은평구 갈현로4길 26, 웅자하우스 2층 (신사동)3422와우당냉면&참숯목살갈비 은평점2024-04-22 17:08:13U2023-12-03 22:04:00.0한식192252.413394455425.993618<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1361931100003110000-101-2017-0027120170901<NA>3폐업2폐업20180918<NA><NA><NA><NA>10.00122813서울특별시 은평구 갈현동 462-48번지서울특별시 은평구 연서로 183 (갈현동)3334덕뽀리 오리바베큐 갈현점2018-09-18 16:16:39U2018-09-18 23:59:59.0한식192668.444612456984.65079한식<NA><NA>학교정화(상대)자율상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N10.0<NA><NA><NA>
313531100003110000-101-1995-0054019950928<NA>3폐업2폐업19980803<NA><NA><NA>02 386290827.74122851서울특별시 은평구 불광동 90-33번지<NA><NA>원조감자탕2001-09-28 00:00:00I2018-08-31 23:59:59.0한식193603.710355458038.513683한식<NA>1주택가주변자율상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N27.74<NA><NA><NA>
997931100003110000-101-2008-0018620080714<NA>3폐업2폐업20140724<NA><NA><NA>02 351315134.84122200서울특별시 은평구 진관동 7번지 상림마을 701동104호 지상1층서울특별시 은평구 진관4로 78-8 (진관동,상림마을 701동104호 지상1층)3303김밥천국2010-07-15 11:05:40I2018-08-31 23:59:59.0한식193639.085557460400.651529한식<NA><NA>아파트지역자율상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N34.84<NA><NA><NA>
601431100003110000-101-1999-0668419991022<NA>1영업/정상1영업<NA><NA><NA><NA>02 354910975.00122823서울특별시 은평구 구산동 202-28번지 1층서울특별시 은평구 서오릉로15길 5-5, 1층 (구산동)3426연천왕소갈비2013-01-28 10:05:47I2018-08-31 23:59:59.0한식192009.651232456823.526471한식00주택가주변자율상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N75.0<NA><NA><NA>
725631100003110000-101-2002-0000620020108<NA>1영업/정상1영업<NA><NA><NA><NA><NA>79.20122959서울특별시 은평구 갈현동 456-4번지 2층서울특별시 은평구 연서로27길 6, 2층 (갈현동)3331에이2013-01-18 09:30:59I2018-08-31 23:59:59.0경양식192766.492541457278.774716경양식00<NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N79.2<NA><NA><NA>
548531100003110000-101-1998-0627719981219<NA>1영업/정상1영업<NA><NA><NA><NA>02 7557776106.71122829서울특별시 은평구 녹번동 83-31 1층서울특별시 은평구 은평로21길 57, 1층 (녹번동)3384최부자2021-10-18 14:49:06U2021-10-20 02:40:00.0한식193590.097955455643.673489한식00주택가주변자율상수도전용00000<NA>00N106.71<NA><NA><NA>
1539831100003110000-101-2021-002252021-06-16<NA>1영업/정상1영업<NA><NA><NA><NA><NA>11.31122-896서울특별시 은평구 역촌동 21-3 1층서울특별시 은평구 진흥로1길 53, 1층 일부호 (역촌동)3402윤이 불닭발 역촌점2023-01-31 10:47:35U2022-12-02 00:02:00.0한식192700.206567455877.43665<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
1132531100003110000-101-2012-0000220120103<NA>3폐업2폐업20200320<NA><NA><NA>02 382 214322.68122837서울특별시 은평구 대조동 15-135번지 1층서울특별시 은평구 진흥로 173, 1층 (대조동)3397제이호프2020-03-20 16:09:20U2020-03-22 02:40:00.0호프/통닭193650.734161456254.778925호프/통닭<NA><NA>기타자율상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N22.68<NA><NA><NA>
1249031100003110000-101-2015-000042015-01-06<NA>1영업/정상1영업<NA><NA><NA><NA><NA>23.10122-947서울특별시 은평구 대조동 77-10 홍복빌딩서울특별시 은평구 통일로69길 27, 홍복빌딩 1층 (대조동)3396카페 청2023-11-21 14:36:43U2022-10-31 22:03:00.0기타193398.442859456457.925751<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
914131100003110000-101-2005-0040720051212<NA>3폐업2폐업20060516<NA><NA><NA><NA>20.52122811서울특별시 은평구 갈현동 433-4번지 (지상1층)<NA><NA>소문난만두2005-12-12 00:00:00I2018-08-31 23:59:59.0분식192528.823303457578.406752분식00주택가주변자율상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N20.52<NA><NA><NA>
985031100003110000-101-2008-000572008-03-18<NA>3폐업2폐업2023-10-23<NA><NA><NA><NA>129.46122-959서울특별시 은평구 갈현동 452-25서울특별시 은평구 연서로29길 21-10 (갈현동)3331한양2023-10-23 13:53:18U2022-10-30 22:05:00.0기타192664.447799457415.811025<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
17031100003110000-101-1981-0214719810428<NA>3폐업2폐업19991229<NA><NA><NA>020372507919.20122941서울특별시 은평구 증산동 217-34번지<NA><NA>진미만두2001-09-28 00:00:00I2018-08-31 23:59:59.0분식191133.683651453042.774649분식01주택가주변지도상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N19.200000<NA><NA>
727331100003110000-101-2002-0002420020130<NA>3폐업2폐업20140328<NA><NA><NA>02 357592782.50122862서울특별시 은평구 불광동 355-5번지 2층서울특별시 은평구 연서로 284, 2층 (불광동)3349민속항아리수제비2013-01-04 15:34:24I2018-08-31 23:59:59.0분식193394.182018457632.83804분식00주택가주변자율상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N82.5<NA><NA><NA>
1127131100003110000-101-2011-0033120111111<NA>1영업/정상1영업<NA><NA><NA><NA>02 384996067.20122837서울특별시 은평구 대조동 3-36 (지하1층)서울특별시 은평구 통일로69길 4 (대조동)3391우정커피호프2021-01-27 10:49:03U2021-01-29 02:40:00.0호프/통닭193546.696827456630.11825호프/통닭<NA><NA>학교정화(상대)자율상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>Y67.2<NA><NA><NA>
1092831100003110000-101-2010-0038620101216<NA>3폐업2폐업20110324<NA><NA><NA><NA>11.55122837서울특별시 은평구 대조동 240번지 (팜스퀘어 지하1층 A014호)<NA><NA>웰빙쌈밥2010-12-16 14:43:42I2018-08-31 23:59:59.0한식193661.732383456379.193899한식<NA><NA>기타자율상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N11.55<NA><NA><NA>
762831100003110000-101-2002-0038720020927<NA>3폐업2폐업20090102<NA><NA><NA>023526 48323.46122879서울특별시 은평구 신사동 2-17번지<NA><NA>김밥천국2002-09-27 00:00:00I2018-08-31 23:59:59.0분식192386.516327455189.917931분식00주택가주변자율상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N23.46<NA><NA><NA>
1478531100003110000-101-2020-0014020200420<NA>1영업/정상1영업<NA><NA><NA><NA><NA>20.70122923서울특별시 은평구 응암동 579-37번지서울특별시 은평구 응암로21길 17, 1층 (응암동)3457담대하게 커피 워크2020-04-21 14:01:57I2020-04-22 00:23:38.0기타192515.659417454641.89244기타<NA><NA>기타자율상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N20.7<NA><NA><NA>