Overview

Dataset statistics

Number of variables44
Number of observations3266
Missing cells44390
Missing cells (%)30.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.2 MiB
Average record size in memory377.0 B

Variable types

Categorical17
Text8
DateTime4
Unsupported9
Numeric5
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-18088/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
다중이용업소여부 has constant value ""Constant
홈페이지 has constant value ""Constant
남성종사자수 is highly imbalanced (63.9%)Imbalance
여성종사자수 is highly imbalanced (63.9%)Imbalance
급수시설구분명 is highly imbalanced (79.0%)Imbalance
총인원 is highly imbalanced (63.9%)Imbalance
본사종업원수 is highly imbalanced (68.8%)Imbalance
공장사무직종업원수 is highly imbalanced (63.8%)Imbalance
공장판매직종업원수 is highly imbalanced (63.3%)Imbalance
공장생산직종업원수 is highly imbalanced (54.6%)Imbalance
보증액 is highly imbalanced (83.6%)Imbalance
인허가취소일자 has 3266 (100.0%) missing valuesMissing
폐업일자 has 1185 (36.3%) missing valuesMissing
휴업시작일자 has 3266 (100.0%) missing valuesMissing
휴업종료일자 has 3266 (100.0%) missing valuesMissing
재개업일자 has 3266 (100.0%) missing valuesMissing
전화번호 has 2181 (66.8%) missing valuesMissing
소재지면적 has 2257 (69.1%) missing valuesMissing
도로명주소 has 524 (16.0%) missing valuesMissing
도로명우편번호 has 557 (17.1%) missing valuesMissing
업태구분명 has 3266 (100.0%) missing valuesMissing
좌표정보(X) has 70 (2.1%) missing valuesMissing
좌표정보(Y) has 70 (2.1%) missing valuesMissing
영업장주변구분명 has 3266 (100.0%) missing valuesMissing
등급구분명 has 3266 (100.0%) missing valuesMissing
월세액 has 2999 (91.8%) missing valuesMissing
다중이용업소여부 has 940 (28.8%) missing valuesMissing
시설총규모 has 940 (28.8%) missing valuesMissing
전통업소지정번호 has 3266 (100.0%) missing valuesMissing
전통업소주된음식 has 3266 (100.0%) missing valuesMissing
홈페이지 has 3265 (> 99.9%) missing valuesMissing
도로명우편번호 is highly skewed (γ1 = 43.70748201)Skewed
시설총규모 is highly skewed (γ1 = 34.574747)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
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
영업장주변구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
등급구분명 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
전통업소주된음식 is an unsupported type, check if it needs cleaning or further analysisUnsupported
월세액 has 261 (8.0%) zerosZeros
시설총규모 has 2319 (71.0%) zerosZeros

Reproduction

Analysis started2024-04-29 19:36:06.661029
Analysis finished2024-04-29 19:36:08.144490
Duration1.48 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size25.6 KiB
3110000
3266 

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 3266
100.0%

Length

2024-04-30T04:36:08.221913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:36:08.306181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3110000 3266
100.0%

관리번호
Text

UNIQUE 

Distinct3266
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size25.6 KiB
2024-04-30T04:36:08.476678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters71852
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

Unique3266 ?
Unique (%)100.0%

Sample

1st row3110000-134-2004-00001
2nd row3110000-134-2004-00002
3rd row3110000-134-2004-00003
4th row3110000-134-2004-00004
5th row3110000-134-2004-00005
ValueCountFrequency (%)
3110000-134-2004-00001 1
 
< 0.1%
3110000-134-2020-00094 1
 
< 0.1%
3110000-134-2020-00085 1
 
< 0.1%
3110000-134-2020-00107 1
 
< 0.1%
3110000-134-2020-00086 1
 
< 0.1%
3110000-134-2020-00087 1
 
< 0.1%
3110000-134-2020-00088 1
 
< 0.1%
3110000-134-2020-00089 1
 
< 0.1%
3110000-134-2020-00090 1
 
< 0.1%
3110000-134-2020-00091 1
 
< 0.1%
Other values (3256) 3256
99.7%
2024-04-30T04:36:08.755284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 26670
37.1%
1 13223
18.4%
- 9798
 
13.6%
3 7702
 
10.7%
2 5998
 
8.3%
4 4448
 
6.2%
9 846
 
1.2%
5 836
 
1.2%
6 790
 
1.1%
7 771
 
1.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 62054
86.4%
Dash Punctuation 9798
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 26670
43.0%
1 13223
21.3%
3 7702
 
12.4%
2 5998
 
9.7%
4 4448
 
7.2%
9 846
 
1.4%
5 836
 
1.3%
6 790
 
1.3%
7 771
 
1.2%
8 770
 
1.2%
Dash Punctuation
ValueCountFrequency (%)
- 9798
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 71852
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 26670
37.1%
1 13223
18.4%
- 9798
 
13.6%
3 7702
 
10.7%
2 5998
 
8.3%
4 4448
 
6.2%
9 846
 
1.2%
5 836
 
1.2%
6 790
 
1.1%
7 771
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 71852
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 26670
37.1%
1 13223
18.4%
- 9798
 
13.6%
3 7702
 
10.7%
2 5998
 
8.3%
4 4448
 
6.2%
9 846
 
1.2%
5 836
 
1.2%
6 790
 
1.1%
7 771
 
1.1%
Distinct1975
Distinct (%)60.5%
Missing0
Missing (%)0.0%
Memory size25.6 KiB
Minimum2004-03-25 00:00:00
Maximum2024-04-22 00:00:00
2024-04-30T04:36:08.870111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:36:08.999486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3266
Missing (%)100.0%
Memory size28.8 KiB
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size25.6 KiB
3
2081 
1
1185 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 2081
63.7%
1 1185
36.3%

Length

2024-04-30T04:36:09.101501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:36:09.178804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 2081
63.7%
1 1185
36.3%

영업상태명
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size25.6 KiB
폐업
2081 
영업/정상
1185 

Length

Max length5
Median length2
Mean length3.0884874
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 2081
63.7%
영업/정상 1185
36.3%

Length

2024-04-30T04:36:09.267595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:36:09.364163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 2081
63.7%
영업/정상 1185
36.3%
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size25.6 KiB
2
2081 
1
1185 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 2081
63.7%
1 1185
36.3%

Length

2024-04-30T04:36:09.464688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:36:09.544951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 2081
63.7%
1 1185
36.3%
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size25.6 KiB
폐업
2081 
영업
1185 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 2081
63.7%
영업 1185
36.3%

Length

2024-04-30T04:36:09.644269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:36:09.749092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 2081
63.7%
영업 1185
36.3%

폐업일자
Date

MISSING 

Distinct1343
Distinct (%)64.5%
Missing1185
Missing (%)36.3%
Memory size25.6 KiB
Minimum2004-08-07 00:00:00
Maximum2024-04-25 00:00:00
2024-04-30T04:36:09.836805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:36:09.956337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3266
Missing (%)100.0%
Memory size28.8 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3266
Missing (%)100.0%
Memory size28.8 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3266
Missing (%)100.0%
Memory size28.8 KiB

전화번호
Text

MISSING 

Distinct1051
Distinct (%)96.9%
Missing2181
Missing (%)66.8%
Memory size25.6 KiB
2024-04-30T04:36:10.239995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length10.835023
Min length2

Characters and Unicode

Total characters11756
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

Unique1024 ?
Unique (%)94.4%

Sample

1st row0203854574
2nd row0203514517
3rd row0203888398
4th row0203873698
5th row05065662000
ValueCountFrequency (%)
02 771
34.9%
070 58
 
2.6%
357 19
 
0.9%
353 18
 
0.8%
352 17
 
0.8%
389 15
 
0.7%
383 10
 
0.5%
356 9
 
0.4%
387 9
 
0.4%
031 9
 
0.4%
Other values (1122) 1272
57.6%
2024-04-30T04:36:10.638955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2011
17.1%
2 1699
14.5%
1553
13.2%
3 1469
12.5%
5 1075
9.1%
8 921
7.8%
7 786
 
6.7%
9 579
 
4.9%
6 568
 
4.8%
1 560
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 10203
86.8%
Space Separator 1553
 
13.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2011
19.7%
2 1699
16.7%
3 1469
14.4%
5 1075
10.5%
8 921
9.0%
7 786
 
7.7%
9 579
 
5.7%
6 568
 
5.6%
1 560
 
5.5%
4 535
 
5.2%
Space Separator
ValueCountFrequency (%)
1553
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 11756
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2011
17.1%
2 1699
14.5%
1553
13.2%
3 1469
12.5%
5 1075
9.1%
8 921
7.8%
7 786
 
6.7%
9 579
 
4.9%
6 568
 
4.8%
1 560
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11756
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2011
17.1%
2 1699
14.5%
1553
13.2%
3 1469
12.5%
5 1075
9.1%
8 921
7.8%
7 786
 
6.7%
9 579
 
4.9%
6 568
 
4.8%
1 560
 
4.8%

소재지면적
Text

MISSING 

Distinct415
Distinct (%)41.1%
Missing2257
Missing (%)69.1%
Memory size25.6 KiB
2024-04-30T04:36:10.961838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length5
Mean length4.6828543
Min length3

Characters and Unicode

Total characters4725
Distinct characters12
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

Unique320 ?
Unique (%)31.7%

Sample

1st row33.30
2nd row20.00
3rd row92.40
4th row33.00
5th row26.40
ValueCountFrequency (%)
00 145
 
14.4%
3.30 44
 
4.4%
3.00 42
 
4.2%
33.00 37
 
3.7%
0.00 20
 
2.0%
10.00 18
 
1.8%
6.60 17
 
1.7%
23.10 16
 
1.6%
26.40 15
 
1.5%
6.00 14
 
1.4%
Other values (405) 641
63.5%
2024-04-30T04:36:11.385177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1487
31.5%
. 1009
21.4%
3 432
 
9.1%
1 346
 
7.3%
2 276
 
5.8%
6 250
 
5.3%
5 222
 
4.7%
4 213
 
4.5%
9 186
 
3.9%
8 157
 
3.3%
Other values (2) 147
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3715
78.6%
Other Punctuation 1010
 
21.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1487
40.0%
3 432
 
11.6%
1 346
 
9.3%
2 276
 
7.4%
6 250
 
6.7%
5 222
 
6.0%
4 213
 
5.7%
9 186
 
5.0%
8 157
 
4.2%
7 146
 
3.9%
Other Punctuation
ValueCountFrequency (%)
. 1009
99.9%
, 1
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
Common 4725
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1487
31.5%
. 1009
21.4%
3 432
 
9.1%
1 346
 
7.3%
2 276
 
5.8%
6 250
 
5.3%
5 222
 
4.7%
4 213
 
4.5%
9 186
 
3.9%
8 157
 
3.3%
Other values (2) 147
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4725
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1487
31.5%
. 1009
21.4%
3 432
 
9.1%
1 346
 
7.3%
2 276
 
5.8%
6 250
 
5.3%
5 222
 
4.7%
4 213
 
4.5%
9 186
 
3.9%
8 157
 
3.3%
Other values (2) 147
 
3.1%
Distinct304
Distinct (%)9.3%
Missing4
Missing (%)0.1%
Memory size25.6 KiB
2024-04-30T04:36:11.672887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.1771919
Min length6

Characters and Unicode

Total characters20150
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

Unique49 ?
Unique (%)1.5%

Sample

1st row122827
2nd row122837
3rd row122912
4th row122814
5th row122941
ValueCountFrequency (%)
122200 194
 
5.9%
122837 102
 
3.1%
122907 79
 
2.4%
122860 71
 
2.2%
122-200 63
 
1.9%
122882 60
 
1.8%
122813 58
 
1.8%
122906 55
 
1.7%
122847 48
 
1.5%
122896 46
 
1.4%
Other values (294) 2486
76.2%
2024-04-30T04:36:12.059646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 7423
36.8%
1 3911
19.4%
8 2425
 
12.0%
0 1593
 
7.9%
9 1445
 
7.2%
3 666
 
3.3%
7 639
 
3.2%
- 578
 
2.9%
4 550
 
2.7%
5 484
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 19572
97.1%
Dash Punctuation 578
 
2.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 7423
37.9%
1 3911
20.0%
8 2425
 
12.4%
0 1593
 
8.1%
9 1445
 
7.4%
3 666
 
3.4%
7 639
 
3.3%
4 550
 
2.8%
5 484
 
2.5%
6 436
 
2.2%
Dash Punctuation
ValueCountFrequency (%)
- 578
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 20150
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 7423
36.8%
1 3911
19.4%
8 2425
 
12.0%
0 1593
 
7.9%
9 1445
 
7.2%
3 666
 
3.3%
7 639
 
3.2%
- 578
 
2.9%
4 550
 
2.7%
5 484
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 20150
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 7423
36.8%
1 3911
19.4%
8 2425
 
12.0%
0 1593
 
7.9%
9 1445
 
7.2%
3 666
 
3.3%
7 639
 
3.2%
- 578
 
2.9%
4 550
 
2.7%
5 484
 
2.4%
Distinct1784
Distinct (%)54.7%
Missing4
Missing (%)0.1%
Memory size25.6 KiB
2024-04-30T04:36:12.305316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length44
Mean length26.416616
Min length16

Characters and Unicode

Total characters86171
Distinct characters422
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1397 ?
Unique (%)42.8%

Sample

1st row서울특별시 은평구 녹번동 **-*번지
2nd row서울특별시 은평구 대조동 *-*번지
3rd row서울특별시 은평구 응암동 ***-**번지
4th row서울특별시 은평구 갈현동 ***-**번지
5th row서울특별시 은평구 증산동 ***-*번지
ValueCountFrequency (%)
은평구 3261
19.8%
서울특별시 3259
19.8%
번지 1840
11.2%
1413
 
8.6%
617
 
3.7%
응암동 605
 
3.7%
595
 
3.6%
불광동 487
 
3.0%
갈현동 398
 
2.4%
대조동 329
 
2.0%
Other values (984) 3697
22.4%
2024-04-30T04:36:12.664834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 16726
19.4%
15160
17.6%
3554
 
4.1%
3480
 
4.0%
3456
 
4.0%
3449
 
4.0%
3301
 
3.8%
3296
 
3.8%
3277
 
3.8%
3259
 
3.8%
Other values (412) 27213
31.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 50092
58.1%
Other Punctuation 16776
 
19.5%
Space Separator 15160
 
17.6%
Dash Punctuation 2779
 
3.2%
Close Punctuation 383
 
0.4%
Open Punctuation 381
 
0.4%
Uppercase Letter 317
 
0.4%
Decimal Number 201
 
0.2%
Lowercase Letter 77
 
0.1%
Math Symbol 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
3554
 
7.1%
3480
 
6.9%
3456
 
6.9%
3449
 
6.9%
3301
 
6.6%
3296
 
6.6%
3277
 
6.5%
3259
 
6.5%
3259
 
6.5%
2167
 
4.3%
Other values (348) 17594
35.1%
Uppercase Letter
ValueCountFrequency (%)
B 65
20.5%
C 46
14.5%
A 37
11.7%
D 27
8.5%
M 27
8.5%
S 15
 
4.7%
J 12
 
3.8%
T 12
 
3.8%
I 12
 
3.8%
P 10
 
3.2%
Other values (13) 54
17.0%
Lowercase Letter
ValueCountFrequency (%)
e 29
37.7%
w 6
 
7.8%
o 6
 
7.8%
a 5
 
6.5%
t 4
 
5.2%
r 4
 
5.2%
l 4
 
5.2%
c 3
 
3.9%
b 3
 
3.9%
k 2
 
2.6%
Other values (8) 11
 
14.3%
Decimal Number
ValueCountFrequency (%)
1 48
23.9%
2 30
14.9%
5 22
10.9%
3 18
 
9.0%
8 15
 
7.5%
6 15
 
7.5%
0 14
 
7.0%
4 13
 
6.5%
9 13
 
6.5%
7 13
 
6.5%
Other Punctuation
ValueCountFrequency (%)
* 16726
99.7%
, 36
 
0.2%
. 11
 
0.1%
/ 2
 
< 0.1%
& 1
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 381
99.5%
] 2
 
0.5%
Open Punctuation
ValueCountFrequency (%)
( 379
99.5%
[ 2
 
0.5%
Space Separator
ValueCountFrequency (%)
15160
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2779
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%
Letter Number
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 50092
58.1%
Common 35684
41.4%
Latin 395
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
3554
 
7.1%
3480
 
6.9%
3456
 
6.9%
3449
 
6.9%
3301
 
6.6%
3296
 
6.6%
3277
 
6.5%
3259
 
6.5%
3259
 
6.5%
2167
 
4.3%
Other values (348) 17594
35.1%
Latin
ValueCountFrequency (%)
B 65
16.5%
C 46
11.6%
A 37
 
9.4%
e 29
 
7.3%
D 27
 
6.8%
M 27
 
6.8%
S 15
 
3.8%
J 12
 
3.0%
T 12
 
3.0%
I 12
 
3.0%
Other values (32) 113
28.6%
Common
ValueCountFrequency (%)
* 16726
46.9%
15160
42.5%
- 2779
 
7.8%
) 381
 
1.1%
( 379
 
1.1%
1 48
 
0.1%
, 36
 
0.1%
2 30
 
0.1%
5 22
 
0.1%
3 18
 
0.1%
Other values (12) 105
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 50092
58.1%
ASCII 36078
41.9%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 16726
46.4%
15160
42.0%
- 2779
 
7.7%
) 381
 
1.1%
( 379
 
1.1%
B 65
 
0.2%
1 48
 
0.1%
C 46
 
0.1%
A 37
 
0.1%
, 36
 
0.1%
Other values (53) 421
 
1.2%
Hangul
ValueCountFrequency (%)
3554
 
7.1%
3480
 
6.9%
3456
 
6.9%
3449
 
6.9%
3301
 
6.6%
3296
 
6.6%
3277
 
6.5%
3259
 
6.5%
3259
 
6.5%
2167
 
4.3%
Other values (348) 17594
35.1%
Number Forms
ValueCountFrequency (%)
1
100.0%

도로명주소
Text

MISSING 

Distinct1992
Distinct (%)72.6%
Missing524
Missing (%)16.0%
Memory size25.6 KiB
2024-04-30T04:36:12.876319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length64
Median length54
Mean length34.55981
Min length21

Characters and Unicode

Total characters94763
Distinct characters420
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1607 ?
Unique (%)58.6%

Sample

1st row서울특별시 은평구 통일로 *** (녹번동)
2nd row서울특별시 은평구 백련산로 *** (응암동)
3rd row서울특별시 은평구 연서로**길 ** (갈현동)
4th row서울특별시 은평구 통일로 ***, 메트로타워 **층 **호 (불광동)
5th row서울특별시 은평구 통일로 *** (불광동)
ValueCountFrequency (%)
은평구 2741
15.0%
서울특별시 2739
15.0%
2728
15.0%
1336
 
7.3%
814
 
4.5%
응암동 460
 
2.5%
424
 
2.3%
불광동 373
 
2.0%
갈현동 290
 
1.6%
통일로 251
 
1.4%
Other values (1114) 6073
33.3%
2024-04-30T04:36:13.228859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 16605
17.5%
15490
16.3%
, 3403
 
3.6%
3375
 
3.6%
3352
 
3.5%
3253
 
3.4%
3244
 
3.4%
2937
 
3.1%
( 2881
 
3.0%
) 2881
 
3.0%
Other values (410) 37342
39.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 51697
54.6%
Other Punctuation 20022
 
21.1%
Space Separator 15490
 
16.3%
Open Punctuation 2883
 
3.0%
Close Punctuation 2883
 
3.0%
Dash Punctuation 1030
 
1.1%
Uppercase Letter 360
 
0.4%
Decimal Number 310
 
0.3%
Lowercase Letter 79
 
0.1%
Math Symbol 7
 
< 0.1%
Other values (2) 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
3375
 
6.5%
3352
 
6.5%
3253
 
6.3%
3244
 
6.3%
2937
 
5.7%
2781
 
5.4%
2751
 
5.3%
2739
 
5.3%
2739
 
5.3%
2735
 
5.3%
Other values (345) 21791
42.2%
Uppercase Letter
ValueCountFrequency (%)
B 113
31.4%
A 54
15.0%
C 40
 
11.1%
M 29
 
8.1%
D 27
 
7.5%
S 16
 
4.4%
I 12
 
3.3%
J 10
 
2.8%
T 10
 
2.8%
P 7
 
1.9%
Other values (13) 42
 
11.7%
Lowercase Letter
ValueCountFrequency (%)
e 32
40.5%
w 6
 
7.6%
o 6
 
7.6%
a 5
 
6.3%
l 4
 
5.1%
t 4
 
5.1%
b 4
 
5.1%
r 4
 
5.1%
v 2
 
2.5%
i 2
 
2.5%
Other values (8) 10
 
12.7%
Decimal Number
ValueCountFrequency (%)
1 76
24.5%
0 44
14.2%
2 41
13.2%
3 37
11.9%
4 31
10.0%
5 21
 
6.8%
7 20
 
6.5%
8 19
 
6.1%
6 11
 
3.5%
9 10
 
3.2%
Other Punctuation
ValueCountFrequency (%)
* 16605
82.9%
, 3403
 
17.0%
. 11
 
0.1%
/ 2
 
< 0.1%
& 1
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 2881
99.9%
[ 2
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 2881
99.9%
] 2
 
0.1%
Space Separator
ValueCountFrequency (%)
15490
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1030
100.0%
Math Symbol
ValueCountFrequency (%)
~ 7
100.0%
Letter Number
ValueCountFrequency (%)
1
100.0%
Other Symbol
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 51697
54.6%
Common 42626
45.0%
Latin 440
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
3375
 
6.5%
3352
 
6.5%
3253
 
6.3%
3244
 
6.3%
2937
 
5.7%
2781
 
5.4%
2751
 
5.3%
2739
 
5.3%
2739
 
5.3%
2735
 
5.3%
Other values (345) 21791
42.2%
Latin
ValueCountFrequency (%)
B 113
25.7%
A 54
12.3%
C 40
 
9.1%
e 32
 
7.3%
M 29
 
6.6%
D 27
 
6.1%
S 16
 
3.6%
I 12
 
2.7%
J 10
 
2.3%
T 10
 
2.3%
Other values (32) 97
22.0%
Common
ValueCountFrequency (%)
* 16605
39.0%
15490
36.3%
, 3403
 
8.0%
( 2881
 
6.8%
) 2881
 
6.8%
- 1030
 
2.4%
1 76
 
0.2%
0 44
 
0.1%
2 41
 
0.1%
3 37
 
0.1%
Other values (13) 138
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 51697
54.6%
ASCII 43064
45.4%
Number Forms 1
 
< 0.1%
Enclosed Alphanum 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 16605
38.6%
15490
36.0%
, 3403
 
7.9%
( 2881
 
6.7%
) 2881
 
6.7%
- 1030
 
2.4%
B 113
 
0.3%
1 76
 
0.2%
A 54
 
0.1%
0 44
 
0.1%
Other values (53) 487
 
1.1%
Hangul
ValueCountFrequency (%)
3375
 
6.5%
3352
 
6.5%
3253
 
6.3%
3244
 
6.3%
2937
 
5.7%
2781
 
5.4%
2751
 
5.3%
2739
 
5.3%
2739
 
5.3%
2735
 
5.3%
Other values (345) 21791
42.2%
Number Forms
ValueCountFrequency (%)
1
100.0%
Enclosed Alphanum
ValueCountFrequency (%)
1
100.0%

도로명우편번호
Real number (ℝ)

MISSING  SKEWED 

Distinct207
Distinct (%)7.6%
Missing557
Missing (%)17.1%
Infinite0
Infinite (%)0.0%
Mean3414.5401
Minimum3300
Maximum31197
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size28.8 KiB
2024-04-30T04:36:13.342589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3300
5-th percentile3306
Q13345
median3397
Q33453
95-th percentile3493
Maximum31197
Range27897
Interquartile range (IQR)108

Descriptive statistics

Standard deviation572.69893
Coefficient of variation (CV)0.16772359
Kurtosis2066.0757
Mean3414.5401
Median Absolute Deviation (MAD)55
Skewness43.707482
Sum9249989
Variance327984.07
MonotonicityNot monotonic
2024-04-30T04:36:13.630946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3306 58
 
1.8%
3345 47
 
1.4%
3453 42
 
1.3%
3461 38
 
1.2%
3454 38
 
1.2%
3396 37
 
1.1%
3397 35
 
1.1%
3368 35
 
1.1%
3301 34
 
1.0%
3311 31
 
0.9%
Other values (197) 2314
70.9%
(Missing) 557
 
17.1%
ValueCountFrequency (%)
3300 28
0.9%
3301 34
1.0%
3302 18
 
0.6%
3303 15
 
0.5%
3304 8
 
0.2%
3305 8
 
0.2%
3306 58
1.8%
3307 7
 
0.2%
3308 9
 
0.3%
3309 7
 
0.2%
ValueCountFrequency (%)
31197 1
 
< 0.1%
10916 1
 
< 0.1%
10461 1
 
< 0.1%
3506 8
 
0.2%
3505 18
0.6%
3504 25
0.8%
3503 1
 
< 0.1%
3502 9
 
0.3%
3500 10
 
0.3%
3499 16
0.5%
Distinct3073
Distinct (%)94.1%
Missing0
Missing (%)0.0%
Memory size25.6 KiB
2024-04-30T04:36:13.851270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length24
Mean length6.7663809
Min length1

Characters and Unicode

Total characters22099
Distinct characters808
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

Unique2961 ?
Unique (%)90.7%

Sample

1st row앗슈에르코리아
2nd row불광미건
3rd row다호코리아(은평서대문점)
4th row정다운유통
5th rowSK조이
ValueCountFrequency (%)
gs25 41
 
1.0%
주식회사 38
 
1.0%
세븐일레븐 33
 
0.8%
인셀덤 26
 
0.7%
다이어트 19
 
0.5%
은평점 16
 
0.4%
허브다이어트 16
 
0.4%
애터미 15
 
0.4%
씨제이올리브영(주 14
 
0.4%
훼미리마트 14
 
0.4%
Other values (3247) 3690
94.1%
2024-04-30T04:36:14.192881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
929
 
4.2%
661
 
3.0%
528
 
2.4%
) 466
 
2.1%
( 446
 
2.0%
438
 
2.0%
420
 
1.9%
360
 
1.6%
315
 
1.4%
269
 
1.2%
Other values (798) 17267
78.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 19193
86.9%
Space Separator 661
 
3.0%
Uppercase Letter 628
 
2.8%
Close Punctuation 466
 
2.1%
Open Punctuation 446
 
2.0%
Lowercase Letter 402
 
1.8%
Decimal Number 256
 
1.2%
Other Punctuation 41
 
0.2%
Dash Punctuation 5
 
< 0.1%
Connector Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
929
 
4.8%
528
 
2.8%
438
 
2.3%
420
 
2.2%
360
 
1.9%
315
 
1.6%
269
 
1.4%
269
 
1.4%
228
 
1.2%
222
 
1.2%
Other values (723) 15215
79.3%
Uppercase Letter
ValueCountFrequency (%)
S 116
18.5%
G 86
13.7%
N 34
 
5.4%
J 30
 
4.8%
C 29
 
4.6%
O 29
 
4.6%
H 28
 
4.5%
A 27
 
4.3%
L 25
 
4.0%
M 23
 
3.7%
Other values (16) 201
32.0%
Lowercase Letter
ValueCountFrequency (%)
e 43
 
10.7%
o 38
 
9.5%
a 32
 
8.0%
i 27
 
6.7%
n 27
 
6.7%
l 24
 
6.0%
t 22
 
5.5%
m 22
 
5.5%
u 21
 
5.2%
s 20
 
5.0%
Other values (16) 126
31.3%
Decimal Number
ValueCountFrequency (%)
2 97
37.9%
5 84
32.8%
4 22
 
8.6%
3 13
 
5.1%
1 10
 
3.9%
9 9
 
3.5%
6 9
 
3.5%
0 7
 
2.7%
8 4
 
1.6%
7 1
 
0.4%
Other Punctuation
ValueCountFrequency (%)
& 15
36.6%
. 13
31.7%
? 4
 
9.8%
, 3
 
7.3%
' 2
 
4.9%
/ 2
 
4.9%
@ 1
 
2.4%
: 1
 
2.4%
Space Separator
ValueCountFrequency (%)
661
100.0%
Close Punctuation
ValueCountFrequency (%)
) 466
100.0%
Open Punctuation
ValueCountFrequency (%)
( 446
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 19190
86.8%
Common 1876
 
8.5%
Latin 1030
 
4.7%
Han 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
929
 
4.8%
528
 
2.8%
438
 
2.3%
420
 
2.2%
360
 
1.9%
315
 
1.6%
269
 
1.4%
269
 
1.4%
228
 
1.2%
222
 
1.2%
Other values (721) 15212
79.3%
Latin
ValueCountFrequency (%)
S 116
 
11.3%
G 86
 
8.3%
e 43
 
4.2%
o 38
 
3.7%
N 34
 
3.3%
a 32
 
3.1%
J 30
 
2.9%
C 29
 
2.8%
O 29
 
2.8%
H 28
 
2.7%
Other values (42) 565
54.9%
Common
ValueCountFrequency (%)
661
35.2%
) 466
24.8%
( 446
23.8%
2 97
 
5.2%
5 84
 
4.5%
4 22
 
1.2%
& 15
 
0.8%
. 13
 
0.7%
3 13
 
0.7%
1 10
 
0.5%
Other values (13) 49
 
2.6%
Han
ValueCountFrequency (%)
2
66.7%
1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 19190
86.8%
ASCII 2906
 
13.1%
CJK 3
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
929
 
4.8%
528
 
2.8%
438
 
2.3%
420
 
2.2%
360
 
1.9%
315
 
1.6%
269
 
1.4%
269
 
1.4%
228
 
1.2%
222
 
1.2%
Other values (721) 15212
79.3%
ASCII
ValueCountFrequency (%)
661
22.7%
) 466
16.0%
( 446
15.3%
S 116
 
4.0%
2 97
 
3.3%
G 86
 
3.0%
5 84
 
2.9%
e 43
 
1.5%
o 38
 
1.3%
N 34
 
1.2%
Other values (65) 835
28.7%
CJK
ValueCountFrequency (%)
2
66.7%
1
33.3%
Distinct3147
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Memory size25.6 KiB
Minimum2004-03-25 00:00:00
Maximum2024-04-25 13:28:50
2024-04-30T04:36:14.328474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:36:14.459362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size25.6 KiB
I
2291 
U
975 

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 2291
70.1%
U 975
29.9%

Length

2024-04-30T04:36:14.578369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:36:14.673773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 2291
70.1%
u 975
29.9%
Distinct977
Distinct (%)29.9%
Missing0
Missing (%)0.0%
Memory size25.6 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:07:00
2024-04-30T04:36:14.767375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:36:14.895584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3266
Missing (%)100.0%
Memory size28.8 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct2119
Distinct (%)66.3%
Missing70
Missing (%)2.1%
Infinite0
Infinite (%)0.0%
Mean192798.28
Minimum179740.77
Maximum214512.71
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size28.8 KiB
2024-04-30T04:36:15.028654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum179740.77
5-th percentile191462.34
Q1192348.16
median192810.21
Q3193292.01
95-th percentile194022.5
Maximum214512.71
Range34771.934
Interquartile range (IQR)943.84952

Descriptive statistics

Standard deviation908.82749
Coefficient of variation (CV)0.0047138775
Kurtosis115.77824
Mean192798.28
Median Absolute Deviation (MAD)474.73342
Skewness2.9606477
Sum6.1618332 × 108
Variance825967.41
MonotonicityNot monotonic
2024-04-30T04:36:15.146916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
192998.202204135 24
 
0.7%
191100.037469089 20
 
0.6%
193661.732383169 18
 
0.6%
193055.040282 15
 
0.5%
193326.661927575 15
 
0.5%
192600.451566859 14
 
0.4%
194002.701726955 13
 
0.4%
190977.850603548 12
 
0.4%
193047.227779984 12
 
0.4%
192882.837727443 12
 
0.4%
Other values (2109) 3041
93.1%
(Missing) 70
 
2.1%
ValueCountFrequency (%)
179740.772405274 1
< 0.1%
185419.84781874 1
< 0.1%
190005.200197101 1
< 0.1%
190038.843813337 1
< 0.1%
190066.046208839 2
0.1%
190066.880282325 1
< 0.1%
190081.791277207 1
< 0.1%
190096.356167435 1
< 0.1%
190132.63370852 1
< 0.1%
190188.864709835 2
0.1%
ValueCountFrequency (%)
214512.706846371 1
 
< 0.1%
195419.855180812 1
 
< 0.1%
195405.663068687 1
 
< 0.1%
195358.535748819 3
0.1%
194868.858285239 1
 
< 0.1%
194819.329995245 1
 
< 0.1%
194743.799915784 1
 
< 0.1%
194643.282213926 1
 
< 0.1%
194633.627087327 1
 
< 0.1%
194632.538805366 1
 
< 0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct2119
Distinct (%)66.3%
Missing70
Missing (%)2.1%
Infinite0
Infinite (%)0.0%
Mean456179.73
Minimum364550.3
Maximum471842.51
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size28.8 KiB
2024-04-30T04:36:15.276169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum364550.3
5-th percentile453613.89
Q1455149.27
median456205.27
Q3457285.99
95-th percentile459304.45
Maximum471842.51
Range107292.2
Interquartile range (IQR)2136.7246

Descriptive statistics

Standard deviation2315.5372
Coefficient of variation (CV)0.0050759319
Kurtosis767.30408
Mean456179.73
Median Absolute Deviation (MAD)1070.017
Skewness-19.174345
Sum1.4579504 × 109
Variance5361712.7
MonotonicityNot monotonic
2024-04-30T04:36:15.397516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
457479.99522553 24
 
0.7%
453842.444261662 20
 
0.6%
456379.193899276 18
 
0.6%
459903.972312 15
 
0.5%
454458.493979132 15
 
0.5%
455197.91922534 14
 
0.4%
456937.542510222 13
 
0.4%
453037.787995874 12
 
0.4%
456161.99070213 12
 
0.4%
455340.54056388 12
 
0.4%
Other values (2109) 3041
93.1%
(Missing) 70
 
2.1%
ValueCountFrequency (%)
364550.303695034 1
 
< 0.1%
452799.599269845 6
0.2%
452890.003005512 6
0.2%
452946.246733537 1
 
< 0.1%
452947.781633581 1
 
< 0.1%
452990.573492383 1
 
< 0.1%
453037.787995874 12
0.4%
453040.846580934 1
 
< 0.1%
453077.104830745 1
 
< 0.1%
453087.410660763 1
 
< 0.1%
ValueCountFrequency (%)
471842.50516933 1
 
< 0.1%
461571.849277037 1
 
< 0.1%
461567.846043726 1
 
< 0.1%
461536.107826838 1
 
< 0.1%
461508.725382496 1
 
< 0.1%
461455.876513588 3
0.1%
461159.570048582 1
 
< 0.1%
460763.547867283 3
0.1%
460734.648208213 4
0.1%
460623.370836706 2
0.1%

위생업태명
Categorical

Distinct10
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size25.6 KiB
영업장판매
1053 
<NA>
941 
전자상거래(통신판매업)
568 
방문판매
349 
통신판매
288 
Other values (5)
 
67

Length

Max length14
Median length12
Mean length5.7679118
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row영업장판매
2nd row영업장판매
3rd row영업장판매
4th row영업장판매
5th row전자상거래(통신판매업)

Common Values

ValueCountFrequency (%)
영업장판매 1053
32.2%
<NA> 941
28.8%
전자상거래(통신판매업) 568
17.4%
방문판매 349
 
10.7%
통신판매 288
 
8.8%
다단계판매 49
 
1.5%
기타 건강기능식품일반판매업 10
 
0.3%
기타(복합 등) 5
 
0.2%
도매업(유통) 2
 
0.1%
전화권유판매 1
 
< 0.1%

Length

2024-04-30T04:36:15.526580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:36:15.627303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업장판매 1053
32.1%
na 941
28.7%
전자상거래(통신판매업 568
17.3%
방문판매 349
 
10.6%
통신판매 288
 
8.8%
다단계판매 49
 
1.5%
기타 10
 
0.3%
건강기능식품일반판매업 10
 
0.3%
기타(복합 5
 
0.2%
5
 
0.2%
Other values (2) 3
 
0.1%

남성종사자수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size25.6 KiB
<NA>
3042 
0
 
224

Length

Max length4
Median length4
Mean length3.7942437
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> 3042
93.1%
0 224
 
6.9%

Length

2024-04-30T04:36:15.770754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:36:15.850383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3042
93.1%
0 224
 
6.9%

여성종사자수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size25.6 KiB
<NA>
3042 
0
 
224

Length

Max length4
Median length4
Mean length3.7942437
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> 3042
93.1%
0 224
 
6.9%

Length

2024-04-30T04:36:15.954185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:36:16.040661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3042
93.1%
0 224
 
6.9%

영업장주변구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3266
Missing (%)100.0%
Memory size28.8 KiB

등급구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3266
Missing (%)100.0%
Memory size28.8 KiB

급수시설구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size25.6 KiB
<NA>
3158 
상수도전용
 
108

Length

Max length5
Median length4
Mean length4.033068
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> 3158
96.7%
상수도전용 108
 
3.3%

Length

2024-04-30T04:36:16.123031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:36:16.200725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3158
96.7%
상수도전용 108
 
3.3%

총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size25.6 KiB
<NA>
3042 
0
 
224

Length

Max length4
Median length4
Mean length3.7942437
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> 3042
93.1%
0 224
 
6.9%

Length

2024-04-30T04:36:16.293850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:36:16.395153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3042
93.1%
0 224
 
6.9%

본사종업원수
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size25.6 KiB
<NA>
2626 
0
637 
5
 
1
2
 
1
1
 
1

Length

Max length4
Median length4
Mean length3.4121249
Min length1

Unique

Unique3 ?
Unique (%)0.1%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
<NA> 2626
80.4%
0 637
 
19.5%
5 1
 
< 0.1%
2 1
 
< 0.1%
1 1
 
< 0.1%

Length

2024-04-30T04:36:16.504456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:36:16.603969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2626
80.4%
0 637
 
19.5%
5 1
 
< 0.1%
2 1
 
< 0.1%
1 1
 
< 0.1%

공장사무직종업원수
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size25.6 KiB
<NA>
2626 
0
637 
1
 
2
2
 
1

Length

Max length4
Median length4
Mean length3.4121249
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
<NA> 2626
80.4%
0 637
 
19.5%
1 2
 
0.1%
2 1
 
< 0.1%

Length

2024-04-30T04:36:16.718455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:36:16.810644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2626
80.4%
0 637
 
19.5%
1 2
 
0.1%
2 1
 
< 0.1%

공장판매직종업원수
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size25.6 KiB
<NA>
2624 
0
635 
1
 
5
2
 
2

Length

Max length4
Median length4
Mean length3.4102878
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
<NA> 2624
80.3%
0 635
 
19.4%
1 5
 
0.2%
2 2
 
0.1%

Length

2024-04-30T04:36:16.906706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:36:16.992997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2624
80.3%
0 635
 
19.4%
1 5
 
0.2%
2 2
 
0.1%

공장생산직종업원수
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size25.6 KiB
<NA>
2627 
0
637 
1
 
2

Length

Max length4
Median length4
Mean length3.4130435
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
<NA> 2627
80.4%
0 637
 
19.5%
1 2
 
0.1%

Length

2024-04-30T04:36:17.081405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:36:17.163031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2627
80.4%
0 637
 
19.5%
1 2
 
0.1%
Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size25.6 KiB
<NA>
2460 
자가
412 
임대
394 

Length

Max length4
Median length4
Mean length3.5064299
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2460
75.3%
자가 412
 
12.6%
임대 394
 
12.1%

Length

2024-04-30T04:36:17.265157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:36:17.365373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2460
75.3%
자가 412
 
12.6%
임대 394
 
12.1%

보증액
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size25.6 KiB
<NA>
2999 
0
 
261
10000000
 
2
5000000
 
2
1000000
 
1

Length

Max length8
Median length4
Mean length3.7666871
Min length1

Unique

Unique2 ?
Unique (%)0.1%

Sample

1st row<NA>
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
<NA> 2999
91.8%
0 261
 
8.0%
10000000 2
 
0.1%
5000000 2
 
0.1%
1000000 1
 
< 0.1%
15000000 1
 
< 0.1%

Length

2024-04-30T04:36:17.466606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:36:17.566823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2999
91.8%
0 261
 
8.0%
10000000 2
 
0.1%
5000000 2
 
0.1%
1000000 1
 
< 0.1%
15000000 1
 
< 0.1%

월세액
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)2.6%
Missing2999
Missing (%)91.8%
Infinite0
Infinite (%)0.0%
Mean15955.056
Minimum0
Maximum1500000
Zeros261
Zeros (%)8.0%
Negative0
Negative (%)0.0%
Memory size28.8 KiB
2024-04-30T04:36:17.657634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1500000
Range1500000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation124680.52
Coefficient of variation (CV)7.814483
Kurtosis94.609298
Mean15955.056
Median Absolute Deviation (MAD)0
Skewness9.3079164
Sum4260000
Variance1.5545231 × 1010
MonotonicityNot monotonic
2024-04-30T04:36:17.763326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 261
 
8.0%
990000 1
 
< 0.1%
500000 1
 
< 0.1%
770000 1
 
< 0.1%
200000 1
 
< 0.1%
1500000 1
 
< 0.1%
300000 1
 
< 0.1%
(Missing) 2999
91.8%
ValueCountFrequency (%)
0 261
8.0%
200000 1
 
< 0.1%
300000 1
 
< 0.1%
500000 1
 
< 0.1%
770000 1
 
< 0.1%
990000 1
 
< 0.1%
1500000 1
 
< 0.1%
ValueCountFrequency (%)
1500000 1
 
< 0.1%
990000 1
 
< 0.1%
770000 1
 
< 0.1%
500000 1
 
< 0.1%
300000 1
 
< 0.1%
200000 1
 
< 0.1%
0 261
8.0%

다중이용업소여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)< 0.1%
Missing940
Missing (%)28.8%
Memory size6.5 KiB
False
2326 
(Missing)
940 
ValueCountFrequency (%)
False 2326
71.2%
(Missing) 940
28.8%
2024-04-30T04:36:17.921081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct7
Distinct (%)0.3%
Missing940
Missing (%)28.8%
Infinite0
Infinite (%)0.0%
Mean0.12631126
Minimum0
Maximum140
Zeros2319
Zeros (%)71.0%
Negative0
Negative (%)0.0%
Memory size28.8 KiB
2024-04-30T04:36:18.018062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum140
Range140
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.5133484
Coefficient of variation (CV)27.815005
Kurtosis1266.322
Mean0.12631126
Median Absolute Deviation (MAD)0
Skewness34.574747
Sum293.8
Variance12.343617
MonotonicityNot monotonic
2024-04-30T04:36:18.137025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0.0 2319
71.0%
9.9 2
 
0.1%
8.0 1
 
< 0.1%
26.0 1
 
< 0.1%
140.0 1
 
< 0.1%
10.0 1
 
< 0.1%
90.0 1
 
< 0.1%
(Missing) 940
28.8%
ValueCountFrequency (%)
0.0 2319
71.0%
8.0 1
 
< 0.1%
9.9 2
 
0.1%
10.0 1
 
< 0.1%
26.0 1
 
< 0.1%
90.0 1
 
< 0.1%
140.0 1
 
< 0.1%
ValueCountFrequency (%)
140.0 1
 
< 0.1%
90.0 1
 
< 0.1%
26.0 1
 
< 0.1%
10.0 1
 
< 0.1%
9.9 2
 
0.1%
8.0 1
 
< 0.1%
0.0 2319
71.0%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3266
Missing (%)100.0%
Memory size28.8 KiB

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3266
Missing (%)100.0%
Memory size28.8 KiB

홈페이지
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing3265
Missing (%)> 99.9%
Memory size25.6 KiB
2024-04-30T04:36:18.319800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length27
Mean length27
Min length27

Characters and Unicode

Total characters27
Distinct characters16
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st rowwww.goodmorninghealth.co.kr
ValueCountFrequency (%)
www.goodmorninghealth.co.kr 1
100.0%
2024-04-30T04:36:18.609498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
o 4
14.8%
w 3
11.1%
. 3
11.1%
g 2
 
7.4%
r 2
 
7.4%
n 2
 
7.4%
h 2
 
7.4%
d 1
 
3.7%
m 1
 
3.7%
i 1
 
3.7%
Other values (6) 6
22.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 24
88.9%
Other Punctuation 3
 
11.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 4
16.7%
w 3
12.5%
g 2
 
8.3%
r 2
 
8.3%
n 2
 
8.3%
h 2
 
8.3%
d 1
 
4.2%
m 1
 
4.2%
i 1
 
4.2%
e 1
 
4.2%
Other values (5) 5
20.8%
Other Punctuation
ValueCountFrequency (%)
. 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 24
88.9%
Common 3
 
11.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 4
16.7%
w 3
12.5%
g 2
 
8.3%
r 2
 
8.3%
n 2
 
8.3%
h 2
 
8.3%
d 1
 
4.2%
m 1
 
4.2%
i 1
 
4.2%
e 1
 
4.2%
Other values (5) 5
20.8%
Common
ValueCountFrequency (%)
. 3
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 27
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
o 4
14.8%
w 3
11.1%
. 3
11.1%
g 2
 
7.4%
r 2
 
7.4%
n 2
 
7.4%
h 2
 
7.4%
d 1
 
3.7%
m 1
 
3.7%
i 1
 
3.7%
Other values (6) 6
22.2%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
031100003110000-134-2004-0000120040325<NA>3폐업2폐업20170504<NA><NA><NA>020385457433.30122827서울특별시 은평구 녹번동 **-*번지서울특별시 은평구 통일로 *** (녹번동)3382앗슈에르코리아2017-05-02 18:41:35I2018-08-31 23:59:59.0<NA>194149.311653455747.137278영업장판매<NA><NA><NA><NA><NA><NA>0000임대<NA><NA>N0.0<NA><NA><NA>
131100003110000-134-2004-0000220040325<NA>3폐업2폐업20050420<NA><NA><NA>020351451720.00122837서울특별시 은평구 대조동 *-*번지<NA><NA>불광미건2004-03-25 00:00:00I2018-08-31 23:59:59.0<NA>193519.842696456728.319722영업장판매<NA><NA><NA><NA><NA><NA>0000임대00N0.0<NA><NA><NA>
231100003110000-134-2004-0000320040420<NA>3폐업2폐업20170504<NA><NA><NA>020388839892.40122912서울특별시 은평구 응암동 ***-**번지서울특별시 은평구 백련산로 *** (응암동)3471다호코리아(은평서대문점)2017-05-02 18:39:39I2018-08-31 23:59:59.0<NA>193475.530785455280.128806영업장판매<NA><NA><NA><NA><NA><NA>0000임대00N0.0<NA><NA><NA>
331100003110000-134-2004-0000420040426<NA>3폐업2폐업20060403<NA><NA><NA>020387369833.00122814서울특별시 은평구 갈현동 ***-**번지<NA><NA>정다운유통2004-04-26 00:00:00I2018-08-31 23:59:59.0<NA>192380.354293457304.772228영업장판매<NA><NA><NA><NA><NA><NA>0000임대00N0.0<NA><NA><NA>
431100003110000-134-2004-0000520040426<NA>3폐업2폐업20050106<NA><NA><NA>0506566200026.40122941서울특별시 은평구 증산동 ***-*번지<NA><NA>SK조이2004-04-26 00:00:00I2018-08-31 23:59:59.0<NA>191175.09283453040.846581전자상거래(통신판매업)<NA><NA><NA><NA><NA><NA>0000임대00N0.0<NA><NA><NA>
531100003110000-134-2004-0000620040428<NA>3폐업2폐업20180913<NA><NA><NA>020385942418.00122811서울특별시 은평구 갈현동 ***-**번지서울특별시 은평구 연서로**길 ** (갈현동)3330주)건강사랑영성대리점2018-09-13 17:44:35U2018-09-13 23:59:59.0<NA>192568.336444457529.375617방문판매<NA><NA><NA><NA><NA><NA>0000자가00N0.0<NA><NA><NA>
631100003110000-134-2004-0000720040507<NA>1영업/정상1영업<NA><NA><NA><NA>0203572210145.00122860서울특별시 은평구 불광동 ***-** 메트로타워 **층 **호서울특별시 은평구 통일로 ***, 메트로타워 **층 **호 (불광동)3345아모레구파발특약점2022-01-13 15:56:53U2022-01-15 02:40:00.0<NA>192998.202204457479.995226방문판매<NA><NA><NA><NA><NA><NA>0000임대00N0.0<NA><NA><NA>
731100003110000-134-2004-0000820040511<NA>1영업/정상1영업<NA><NA><NA><NA><NA>70.74122860서울특별시 은평구 불광동 ***-**번지서울특별시 은평구 통일로 *** (불광동)3344정관장 연신내역점2010-12-28 13:13:43I2018-08-31 23:59:59.0<NA>192892.314435457653.47489영업장판매<NA><NA><NA><NA><NA><NA>0000임대00N0.0<NA><NA><NA>
831100003110000-134-2004-0000920040511<NA>3폐업2폐업20070205<NA><NA><NA>02035282167.30122823서울특별시 은평구 구산동 ***-*번지<NA><NA>자연보양원2004-05-11 00:00:00I2018-08-31 23:59:59.0<NA>192160.751385456728.694827영업장판매<NA><NA><NA><NA><NA><NA>0000임대00N0.0<NA><NA><NA>
931100003110000-134-2004-000102004-05-11<NA>3폐업2폐업2024-01-18<NA><NA><NA>020306169818.70122-891서울특별시 은평구 신사동 ***-*서울특별시 은평구 증산로 *** (신사동)3448자연의집옥설선식2024-01-18 13:47:03U2023-11-30 22:00:00.0<NA>192231.085409454063.312143<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
325631100003110000-134-2024-000722024-04-08<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA>122-200서울특별시 은평구 진관동 ** 휴먼프라자 I서울특별시 은평구 진관*로 **, 휴먼프라자 I ***호 (진관동)3306하늘통상2024-04-08 10:01:28I2023-12-03 23:00:00.0<NA>192831.901571459170.418887<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
325731100003110000-134-2024-000732024-04-15<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA>122-895서울특별시 은평구 역촌동 *-**서울특별시 은평구 연서로 ***-*, *층 (역촌동)3398허브리본2024-04-15 10:41:06I2023-12-03 23:07:00.0<NA>192621.577326456460.051428<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
325831100003110000-134-2024-000742024-04-15<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA>122-751서울특별시 은평구 불광동 *** 미성아파트서울특별시 은평구 통일로 ***, *동 ****호 (불광동, 미성아파트)3356피트앤웰2024-04-15 10:47:09I2023-12-03 23:07:00.0<NA>193600.888432456957.23358<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
325931100003110000-134-2024-000752024-04-15<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA>122-907서울특별시 은평구 응암동 **-**서울특별시 은평구 은평로 ***, *층 (응암동)3460본힐링하우스2024-04-15 11:30:58I2023-12-03 23:07:00.0<NA>193195.881848455407.686794<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
326031100003110000-134-2024-000762024-04-16<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA>122-817서울특별시 은평구 갈현동 *** 갈현동현대아파트서울특별시 은평구 갈현로**길 **, ***동 ***호 (갈현동, 갈현동현대아파트)3319가든파크2024-04-16 13:37:54I2023-12-03 23:08:00.0<NA>192354.846525457762.044737<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
326131100003110000-134-2024-000772024-04-19<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA>122-906서울특별시 은평구 응암동 **-*서울특별시 은평구 은평로 **, *층 (응암동)3461다비치안경 응암이마트옆점2024-04-19 10:17:40I2023-12-03 22:01:00.0<NA>192754.063847455293.095287<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
326231100003110000-134-2024-000782024-04-22<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA>122-814서울특별시 은평구 갈현동 ***-**서울특별시 은평구 갈현로 ***-*, 가동 ***호 (갈현동)3332구공칠2024-04-22 14:25:25I2023-12-03 22:04:00.0<NA>192465.018957457229.950318<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
326331100003110000-134-2024-000792024-04-22<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA>122-842서울특별시 은평구 대조동 ***-*서울특별시 은평구 통일로 ***, *,*층 (대조동)3385다비치안경원 연신내점2024-04-22 14:29:09I2023-12-03 22:04:00.0<NA>193125.267795457168.575653<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
326431100003110000-134-2024-000802024-04-22<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA>122-839서울특별시 은평구 대조동 **-**서울특별시 은평구 진흥로**길 *-*, ***호 (대조동)3395제이앤와이(JnY)2024-04-22 14:32:15I2023-12-03 22:04:00.0<NA>193117.785848456186.791226<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
326531100003110000-134-2024-000812024-04-22<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA>122-821서울특별시 은평구 구산동 ***-** 브라운스톤구산서울특별시 은평구 갈현로**길 **, ***동 ***호 (구산동, 브라운스톤구산)3429강명숙2024-04-22 14:37:14I2023-12-03 22:04:00.0<NA>191917.302511456578.690176<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>