Overview

Dataset statistics

Number of variables44
Number of observations385
Missing cells3920
Missing cells (%)23.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory141.9 KiB
Average record size in memory377.3 B

Variable types

Categorical20
Text6
DateTime4
Unsupported8
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
Author용산구
URLhttps://data.seoul.go.kr/dataList/OA-18404/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
업태구분명 has constant value ""Constant
남성종사자수 is highly imbalanced (53.0%)Imbalance
여성종사자수 is highly imbalanced (61.5%)Imbalance
영업장주변구분명 is highly imbalanced (68.6%)Imbalance
등급구분명 is highly imbalanced (70.4%)Imbalance
총인원 is highly imbalanced (58.7%)Imbalance
본사종업원수 is highly imbalanced (57.8%)Imbalance
공장사무직종업원수 is highly imbalanced (57.8%)Imbalance
공장판매직종업원수 is highly imbalanced (57.8%)Imbalance
공장생산직종업원수 is highly imbalanced (57.8%)Imbalance
보증액 is highly imbalanced (57.8%)Imbalance
월세액 is highly imbalanced (57.8%)Imbalance
다중이용업소여부 is highly imbalanced (83.6%)Imbalance
인허가취소일자 has 385 (100.0%) missing valuesMissing
폐업일자 has 142 (36.9%) missing valuesMissing
휴업시작일자 has 385 (100.0%) missing valuesMissing
휴업종료일자 has 385 (100.0%) missing valuesMissing
재개업일자 has 385 (100.0%) missing valuesMissing
전화번호 has 250 (64.9%) missing valuesMissing
소재지면적 has 52 (13.5%) missing valuesMissing
도로명주소 has 57 (14.8%) missing valuesMissing
도로명우편번호 has 57 (14.8%) missing valuesMissing
좌표정보(X) has 5 (1.3%) missing valuesMissing
좌표정보(Y) has 5 (1.3%) missing valuesMissing
건물소유구분명 has 385 (100.0%) missing valuesMissing
다중이용업소여부 has 136 (35.3%) missing valuesMissing
시설총규모 has 136 (35.3%) missing valuesMissing
전통업소지정번호 has 385 (100.0%) missing valuesMissing
전통업소주된음식 has 385 (100.0%) missing valuesMissing
홈페이지 has 385 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
건물소유구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
전통업소지정번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
전통업소주된음식 is an unsupported type, check if it needs cleaning or further analysisUnsupported
홈페이지 is an unsupported type, check if it needs cleaning or further analysisUnsupported
시설총규모 has 6 (1.6%) zerosZeros

Reproduction

Analysis started2024-05-11 06:23:36.589087
Analysis finished2024-05-11 06:23:38.145314
Duration1.56 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
3020000
385 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3020000
2nd row3020000
3rd row3020000
4th row3020000
5th row3020000

Common Values

ValueCountFrequency (%)
3020000 385
100.0%

Length

2024-05-11T15:23:38.662844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:23:38.866595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3020000 385
100.0%

관리번호
Text

UNIQUE 

Distinct385
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2024-05-11T15:23:39.195869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters8470
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

Unique385 ?
Unique (%)100.0%

Sample

1st row3020000-121-1978-00001
2nd row3020000-121-1978-00002
3rd row3020000-121-1979-00001
4th row3020000-121-1980-00001
5th row3020000-121-1980-00002
ValueCountFrequency (%)
3020000-121-1978-00001 1
 
0.3%
3020000-121-2017-00017 1
 
0.3%
3020000-121-2020-00021 1
 
0.3%
3020000-121-2020-00020 1
 
0.3%
3020000-121-2020-00018 1
 
0.3%
3020000-121-2020-00017 1
 
0.3%
3020000-121-2020-00016 1
 
0.3%
3020000-121-2020-00015 1
 
0.3%
3020000-121-2020-00014 1
 
0.3%
3020000-121-2020-00013 1
 
0.3%
Other values (375) 375
97.4%
2024-05-11T15:23:39.826732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3786
44.7%
2 1401
 
16.5%
1 1159
 
13.7%
- 1155
 
13.6%
3 499
 
5.9%
9 126
 
1.5%
4 96
 
1.1%
7 67
 
0.8%
8 64
 
0.8%
6 59
 
0.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7315
86.4%
Dash Punctuation 1155
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3786
51.8%
2 1401
 
19.2%
1 1159
 
15.8%
3 499
 
6.8%
9 126
 
1.7%
4 96
 
1.3%
7 67
 
0.9%
8 64
 
0.9%
6 59
 
0.8%
5 58
 
0.8%
Dash Punctuation
ValueCountFrequency (%)
- 1155
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8470
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3786
44.7%
2 1401
 
16.5%
1 1159
 
13.7%
- 1155
 
13.6%
3 499
 
5.9%
9 126
 
1.5%
4 96
 
1.1%
7 67
 
0.8%
8 64
 
0.8%
6 59
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8470
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3786
44.7%
2 1401
 
16.5%
1 1159
 
13.7%
- 1155
 
13.6%
3 499
 
5.9%
9 126
 
1.5%
4 96
 
1.1%
7 67
 
0.8%
8 64
 
0.8%
6 59
 
0.7%

인허가일자
Date

Distinct351
Distinct (%)91.2%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
Minimum1978-07-14 00:00:00
Maximum2024-05-02 00:00:00
2024-05-11T15:23:40.113809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:23:40.399162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing385
Missing (%)100.0%
Memory size3.5 KiB

영업상태코드
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
3
243 
1
142 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 243
63.1%
1 142
36.9%

Length

2024-05-11T15:23:40.692352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:23:40.912497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 243
63.1%
1 142
36.9%

영업상태명
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
폐업
243 
영업/정상
142 

Length

Max length5
Median length2
Mean length3.1064935
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 243
63.1%
영업/정상 142
36.9%

Length

2024-05-11T15:23:41.180907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:23:41.464586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 243
63.1%
영업/정상 142
36.9%

상세영업상태코드
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2
243 
1
142 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 243
63.1%
1 142
36.9%

Length

2024-05-11T15:23:41.662723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:23:41.853444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 243
63.1%
1 142
36.9%

상세영업상태명
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
폐업
243 
영업
142 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 243
63.1%
영업 142
36.9%

Length

2024-05-11T15:23:42.065402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:23:42.270449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 243
63.1%
영업 142
36.9%

폐업일자
Date

MISSING 

Distinct220
Distinct (%)90.5%
Missing142
Missing (%)36.9%
Memory size3.1 KiB
Minimum2005-12-19 00:00:00
Maximum2024-05-06 00:00:00
2024-05-11T15:23:42.481632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:23:42.742568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing385
Missing (%)100.0%
Memory size3.5 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing385
Missing (%)100.0%
Memory size3.5 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing385
Missing (%)100.0%
Memory size3.5 KiB

전화번호
Text

MISSING 

Distinct127
Distinct (%)94.1%
Missing250
Missing (%)64.9%
Memory size3.1 KiB
2024-05-11T15:23:43.257033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length10.681481
Min length10

Characters and Unicode

Total characters1442
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

Unique119 ?
Unique (%)88.1%

Sample

1st row02 7971234
2nd row0207124079
3rd row0207144531
4th row02 7499276
5th row02 7197917
ValueCountFrequency (%)
02 114
40.1%
790 5
 
1.8%
749 3
 
1.1%
792 3
 
1.1%
070 3
 
1.1%
0263907280 2
 
0.7%
7941142 2
 
0.7%
796 2
 
0.7%
7936252 2
 
0.7%
22237000 2
 
0.7%
Other values (139) 146
51.4%
2024-05-11T15:23:44.221013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 251
17.4%
2 234
16.2%
194
13.5%
7 190
13.2%
9 129
8.9%
1 91
 
6.3%
3 78
 
5.4%
4 77
 
5.3%
8 75
 
5.2%
5 74
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1248
86.5%
Space Separator 194
 
13.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 251
20.1%
2 234
18.8%
7 190
15.2%
9 129
10.3%
1 91
 
7.3%
3 78
 
6.2%
4 77
 
6.2%
8 75
 
6.0%
5 74
 
5.9%
6 49
 
3.9%
Space Separator
ValueCountFrequency (%)
194
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1442
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 251
17.4%
2 234
16.2%
194
13.5%
7 190
13.2%
9 129
8.9%
1 91
 
6.3%
3 78
 
5.4%
4 77
 
5.3%
8 75
 
5.2%
5 74
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1442
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 251
17.4%
2 234
16.2%
194
13.5%
7 190
13.2%
9 129
8.9%
1 91
 
6.3%
3 78
 
5.4%
4 77
 
5.3%
8 75
 
5.2%
5 74
 
5.1%

소재지면적
Real number (ℝ)

MISSING 

Distinct290
Distinct (%)87.1%
Missing52
Missing (%)13.5%
Infinite0
Infinite (%)0.0%
Mean67.244595
Minimum0
Maximum781.16
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2024-05-11T15:23:44.642634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile9.48
Q125.8
median45.73
Q371.74
95-th percentile194.304
Maximum781.16
Range781.16
Interquartile range (IQR)45.94

Descriptive statistics

Standard deviation89.02567
Coefficient of variation (CV)1.3239082
Kurtosis25.4363
Mean67.244595
Median Absolute Deviation (MAD)22.46
Skewness4.4668633
Sum22392.45
Variance7925.57
MonotonicityNot monotonic
2024-05-11T15:23:44.966917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
40.0 4
 
1.0%
33.0 4
 
1.0%
10.0 3
 
0.8%
85.8 3
 
0.8%
60.0 3
 
0.8%
36.3 3
 
0.8%
26.4 3
 
0.8%
23.1 3
 
0.8%
6.0 3
 
0.8%
50.0 2
 
0.5%
Other values (280) 302
78.4%
(Missing) 52
 
13.5%
ValueCountFrequency (%)
0.0 1
 
0.3%
3.0 1
 
0.3%
3.3 2
0.5%
3.78 1
 
0.3%
4.0 1
 
0.3%
6.0 3
0.8%
6.02 1
 
0.3%
6.37 1
 
0.3%
7.2 1
 
0.3%
7.25 1
 
0.3%
ValueCountFrequency (%)
781.16 1
0.3%
697.33 1
0.3%
522.96 1
0.3%
495.65 1
0.3%
463.9 2
0.5%
447.93 1
0.3%
350.69 1
0.3%
314.07 1
0.3%
250.0 1
0.3%
241.53 1
0.3%

소재지우편번호
Text

Distinct124
Distinct (%)32.2%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2024-05-11T15:23:45.575458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.2753247
Min length6

Characters and Unicode

Total characters2416
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

Unique50 ?
Unique (%)13.0%

Sample

1st row140-893
2nd row140132
3rd row140830
4th row140825
5th row140855
ValueCountFrequency (%)
140-780 27
 
7.0%
140780 23
 
6.0%
140-210 11
 
2.9%
140210 10
 
2.6%
140-821 10
 
2.6%
140863 9
 
2.3%
140132 9
 
2.3%
140871 9
 
2.3%
140011 9
 
2.3%
140-893 7
 
1.8%
Other values (114) 261
67.8%
2024-05-11T15:23:46.587445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 554
22.9%
1 500
20.7%
4 430
17.8%
8 347
14.4%
7 114
 
4.7%
2 111
 
4.6%
- 106
 
4.4%
3 85
 
3.5%
9 63
 
2.6%
5 54
 
2.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2310
95.6%
Dash Punctuation 106
 
4.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 554
24.0%
1 500
21.6%
4 430
18.6%
8 347
15.0%
7 114
 
4.9%
2 111
 
4.8%
3 85
 
3.7%
9 63
 
2.7%
5 54
 
2.3%
6 52
 
2.3%
Dash Punctuation
ValueCountFrequency (%)
- 106
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2416
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 554
22.9%
1 500
20.7%
4 430
17.8%
8 347
14.4%
7 114
 
4.7%
2 111
 
4.6%
- 106
 
4.4%
3 85
 
3.5%
9 63
 
2.6%
5 54
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2416
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 554
22.9%
1 500
20.7%
4 430
17.8%
8 347
14.4%
7 114
 
4.7%
2 111
 
4.6%
- 106
 
4.4%
3 85
 
3.5%
9 63
 
2.6%
5 54
 
2.2%

지번주소
Text

Distinct325
Distinct (%)84.4%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2024-05-11T15:23:47.007782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length84
Median length46
Mean length27.446753
Min length17

Characters and Unicode

Total characters10567
Distinct characters207
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique310 ?
Unique (%)80.5%

Sample

1st row서울특별시 용산구 한남동 747-7
2nd row서울특별시 용산구 청파동2가 63-5번지 (지하1층)
3rd row서울특별시 용산구 서계동 267-6번지
4th row서울특별시 용산구 보광동 274-17번지
5th row서울특별시 용산구 이촌동 197-5 지상1층
ValueCountFrequency (%)
서울특별시 385
20.0%
용산구 384
19.9%
한남동 83
 
4.3%
한강로3가 67
 
3.5%
지상1층 46
 
2.4%
이태원동 45
 
2.3%
40-999 41
 
2.1%
용산역 38
 
2.0%
1층 25
 
1.3%
한강로2가 24
 
1.2%
Other values (471) 787
40.9%
2024-05-11T15:23:47.700431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1780
 
16.8%
산 470
 
4.4%
용 468
 
4.4%
1 437
 
4.1%
서 404
 
3.8%
울 393
 
3.7%
시 393
 
3.7%
구 385
 
3.6%
특 385
 
3.6%
별 385
 
3.6%
Other values (197) 5067
48.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6058
57.3%
Decimal Number 2173
 
20.6%
Space Separator 1780
 
16.8%
Dash Punctuation 343
 
3.2%
Open Punctuation 71
 
0.7%
Close Punctuation 70
 
0.7%
Other Punctuation 50
 
0.5%
Uppercase Letter 16
 
0.2%
Lowercase Letter 4
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 470
 
7.8%
용 468
 
7.7%
서 404
 
6.7%
울 393
 
6.5%
시 393
 
6.5%
구 385
 
6.4%
특 385
 
6.4%
별 385
 
6.4%
지 304
 
5.0%
동 301
 
5.0%
Other values (169) 2170
35.8%
Decimal Number
ValueCountFrequency (%)
1 437
20.1%
2 354
16.3%
3 271
12.5%
9 247
11.4%
0 201
9.2%
4 200
9.2%
6 147
 
6.8%
5 114
 
5.2%
8 102
 
4.7%
7 100
 
4.6%
Uppercase Letter
ValueCountFrequency (%)
A 4
25.0%
B 4
25.0%
D 3
18.8%
K 1
 
6.2%
P 1
 
6.2%
N 1
 
6.2%
R 1
 
6.2%
C 1
 
6.2%
Lowercase Letter
ValueCountFrequency (%)
e 2
50.0%
m 1
25.0%
u 1
25.0%
Other Punctuation
ValueCountFrequency (%)
, 37
74.0%
. 13
 
26.0%
Space Separator
ValueCountFrequency (%)
1780
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 343
100.0%
Open Punctuation
ValueCountFrequency (%)
( 71
100.0%
Close Punctuation
ValueCountFrequency (%)
) 70
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6058
57.3%
Common 4489
42.5%
Latin 20
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 470
 
7.8%
용 468
 
7.7%
서 404
 
6.7%
울 393
 
6.5%
시 393
 
6.5%
구 385
 
6.4%
특 385
 
6.4%
별 385
 
6.4%
지 304
 
5.0%
동 301
 
5.0%
Other values (169) 2170
35.8%
Common
ValueCountFrequency (%)
1780
39.7%
1 437
 
9.7%
2 354
 
7.9%
- 343
 
7.6%
3 271
 
6.0%
9 247
 
5.5%
0 201
 
4.5%
4 200
 
4.5%
6 147
 
3.3%
5 114
 
2.5%
Other values (7) 395
 
8.8%
Latin
ValueCountFrequency (%)
A 4
20.0%
B 4
20.0%
D 3
15.0%
e 2
10.0%
K 1
 
5.0%
m 1
 
5.0%
u 1
 
5.0%
P 1
 
5.0%
N 1
 
5.0%
R 1
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6058
57.3%
ASCII 4509
42.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1780
39.5%
1 437
 
9.7%
2 354
 
7.9%
- 343
 
7.6%
3 271
 
6.0%
9 247
 
5.5%
0 201
 
4.5%
4 200
 
4.4%
6 147
 
3.3%
5 114
 
2.5%
Other values (18) 415
 
9.2%
Hangul
ValueCountFrequency (%)
산 470
 
7.8%
용 468
 
7.7%
서 404
 
6.7%
울 393
 
6.5%
시 393
 
6.5%
구 385
 
6.4%
특 385
 
6.4%
별 385
 
6.4%
지 304
 
5.0%
동 301
 
5.0%
Other values (169) 2170
35.8%

도로명주소
Text

MISSING 

Distinct291
Distinct (%)88.7%
Missing57
Missing (%)14.8%
Memory size3.1 KiB
2024-05-11T15:23:48.178953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length67
Median length52
Mean length35.984756
Min length22

Characters and Unicode

Total characters11803
Distinct characters227
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique273 ?
Unique (%)83.2%

Sample

1st row서울특별시 용산구 소월로 322 (한남동)
2nd row서울특별시 용산구 이촌로 100-4 (이촌동,지상1층)
3rd row서울특별시 용산구 신흥로 89, 1층 (용산동2가)
4th row서울특별시 용산구 보광로 21 (보광동)
5th row서울특별시 용산구 새창로 118 (용문동)
ValueCountFrequency (%)
서울특별시 328
 
14.7%
용산구 327
 
14.6%
1층 95
 
4.3%
한남동 67
 
3.0%
한강로3가 60
 
2.7%
한강대로23길 48
 
2.1%
55 47
 
2.1%
이태원동 40
 
1.8%
2층 26
 
1.2%
지상1층 25
 
1.1%
Other values (508) 1171
52.4%
2024-05-11T15:23:48.959908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1907
 
16.2%
1 486
 
4.1%
로 431
 
3.7%
, 405
 
3.4%
산 400
 
3.4%
용 397
 
3.4%
2 370
 
3.1%
서 369
 
3.1%
( 359
 
3.0%
) 359
 
3.0%
Other values (217) 6320
53.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6750
57.2%
Decimal Number 1919
 
16.3%
Space Separator 1907
 
16.2%
Other Punctuation 406
 
3.4%
Open Punctuation 359
 
3.0%
Close Punctuation 359
 
3.0%
Dash Punctuation 65
 
0.6%
Uppercase Letter 28
 
0.2%
Math Symbol 6
 
0.1%
Lowercase Letter 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 431
 
6.4%
산 400
 
5.9%
용 397
 
5.9%
서 369
 
5.5%
울 343
 
5.1%
시 336
 
5.0%
특 328
 
4.9%
별 328
 
4.9%
구 328
 
4.9%
층 317
 
4.7%
Other values (189) 3173
47.0%
Decimal Number
ValueCountFrequency (%)
1 486
25.3%
2 370
19.3%
3 259
13.5%
5 192
 
10.0%
0 137
 
7.1%
4 135
 
7.0%
7 101
 
5.3%
6 92
 
4.8%
8 74
 
3.9%
9 73
 
3.8%
Uppercase Letter
ValueCountFrequency (%)
B 17
60.7%
A 4
 
14.3%
D 2
 
7.1%
P 1
 
3.6%
R 1
 
3.6%
K 1
 
3.6%
C 1
 
3.6%
N 1
 
3.6%
Lowercase Letter
ValueCountFrequency (%)
e 2
50.0%
u 1
25.0%
m 1
25.0%
Other Punctuation
ValueCountFrequency (%)
, 405
99.8%
. 1
 
0.2%
Space Separator
ValueCountFrequency (%)
1907
100.0%
Open Punctuation
ValueCountFrequency (%)
( 359
100.0%
Close Punctuation
ValueCountFrequency (%)
) 359
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 65
100.0%
Math Symbol
ValueCountFrequency (%)
~ 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6750
57.2%
Common 5021
42.5%
Latin 32
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 431
 
6.4%
산 400
 
5.9%
용 397
 
5.9%
서 369
 
5.5%
울 343
 
5.1%
시 336
 
5.0%
특 328
 
4.9%
별 328
 
4.9%
구 328
 
4.9%
층 317
 
4.7%
Other values (189) 3173
47.0%
Common
ValueCountFrequency (%)
1907
38.0%
1 486
 
9.7%
, 405
 
8.1%
2 370
 
7.4%
( 359
 
7.1%
) 359
 
7.1%
3 259
 
5.2%
5 192
 
3.8%
0 137
 
2.7%
4 135
 
2.7%
Other values (7) 412
 
8.2%
Latin
ValueCountFrequency (%)
B 17
53.1%
A 4
 
12.5%
e 2
 
6.2%
D 2
 
6.2%
P 1
 
3.1%
u 1
 
3.1%
m 1
 
3.1%
R 1
 
3.1%
K 1
 
3.1%
C 1
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6750
57.2%
ASCII 5053
42.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1907
37.7%
1 486
 
9.6%
, 405
 
8.0%
2 370
 
7.3%
( 359
 
7.1%
) 359
 
7.1%
3 259
 
5.1%
5 192
 
3.8%
0 137
 
2.7%
4 135
 
2.7%
Other values (18) 444
 
8.8%
Hangul
ValueCountFrequency (%)
로 431
 
6.4%
산 400
 
5.9%
용 397
 
5.9%
서 369
 
5.5%
울 343
 
5.1%
시 336
 
5.0%
특 328
 
4.9%
별 328
 
4.9%
구 328
 
4.9%
층 317
 
4.7%
Other values (189) 3173
47.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct89
Distinct (%)27.1%
Missing57
Missing (%)14.8%
Infinite0
Infinite (%)0.0%
Mean4369.3171
Minimum4055
Maximum4427
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2024-05-11T15:23:49.323117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4055
5-th percentile4302
Q14344
median4377
Q34400
95-th percentile4420
Maximum4427
Range372
Interquartile range (IQR)56

Descriptive statistics

Standard deviation38.750003
Coefficient of variation (CV)0.0088686636
Kurtosis11.887935
Mean4369.3171
Median Absolute Deviation (MAD)24
Skewness-1.8945875
Sum1433136
Variance1501.5628
MonotonicityNot monotonic
2024-05-11T15:23:49.609038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4377 47
 
12.2%
4401 24
 
6.2%
4301 13
 
3.4%
4419 11
 
2.9%
4400 10
 
2.6%
4345 8
 
2.1%
4386 8
 
2.1%
4391 8
 
2.1%
4427 6
 
1.6%
4375 6
 
1.6%
Other values (79) 187
48.6%
(Missing) 57
 
14.8%
ValueCountFrequency (%)
4055 1
 
0.3%
4300 2
 
0.5%
4301 13
3.4%
4302 2
 
0.5%
4305 3
 
0.8%
4309 2
 
0.5%
4310 1
 
0.3%
4311 1
 
0.3%
4312 1
 
0.3%
4313 3
 
0.8%
ValueCountFrequency (%)
4427 6
1.6%
4426 3
 
0.8%
4425 2
 
0.5%
4424 1
 
0.3%
4423 3
 
0.8%
4420 5
1.3%
4419 11
2.9%
4414 1
 
0.3%
4413 1
 
0.3%
4410 4
 
1.0%

사업장명
Text

Distinct341
Distinct (%)88.6%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2024-05-11T15:23:50.033766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length20
Mean length7.8207792
Min length1

Characters and Unicode

Total characters3011
Distinct characters401
Distinct categories8 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique314 ?
Unique (%)81.6%

Sample

1st row그랜드하얏트서울델리
2nd row빵굼터
3rd row몽마
4th row무림
5th row초이1982
ValueCountFrequency (%)
파리바게뜨 13
 
2.7%
꿀넹쿠키 7
 
1.4%
파리바게트 6
 
1.2%
주식회사 6
 
1.2%
서울역점 6
 
1.2%
연남점 6
 
1.2%
리암스 5
 
1.0%
코너케이크스튜디오 4
 
0.8%
한남점 4
 
0.8%
도레도레 3
 
0.6%
Other values (375) 426
87.7%
2024-05-11T15:23:50.742288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
리 123
 
4.1%
이 121
 
4.0%
점 104
 
3.5%
101
 
3.4%
스 69
 
2.3%
( 63
 
2.1%
) 63
 
2.1%
파 59
 
2.0%
베 55
 
1.8%
레 50
 
1.7%
Other values (391) 2203
73.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2460
81.7%
Lowercase Letter 155
 
5.1%
Uppercase Letter 127
 
4.2%
Space Separator 101
 
3.4%
Open Punctuation 63
 
2.1%
Close Punctuation 63
 
2.1%
Decimal Number 34
 
1.1%
Other Punctuation 8
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 123
 
5.0%
이 121
 
4.9%
점 104
 
4.2%
스 69
 
2.8%
파 59
 
2.4%
베 55
 
2.2%
레 50
 
2.0%
바 48
 
2.0%
크 42
 
1.7%
커 40
 
1.6%
Other values (330) 1749
71.1%
Uppercase Letter
ValueCountFrequency (%)
A 12
 
9.4%
E 11
 
8.7%
D 10
 
7.9%
I 9
 
7.1%
B 9
 
7.1%
P 8
 
6.3%
M 8
 
6.3%
H 7
 
5.5%
K 7
 
5.5%
L 6
 
4.7%
Other values (14) 40
31.5%
Lowercase Letter
ValueCountFrequency (%)
a 25
16.1%
e 19
12.3%
o 13
 
8.4%
r 11
 
7.1%
n 9
 
5.8%
l 8
 
5.2%
t 7
 
4.5%
i 7
 
4.5%
s 7
 
4.5%
m 6
 
3.9%
Other values (10) 43
27.7%
Decimal Number
ValueCountFrequency (%)
2 8
23.5%
1 6
17.6%
5 5
14.7%
8 4
11.8%
3 3
 
8.8%
9 2
 
5.9%
4 2
 
5.9%
7 2
 
5.9%
0 2
 
5.9%
Other Punctuation
ValueCountFrequency (%)
. 2
25.0%
, 2
25.0%
? 2
25.0%
: 1
12.5%
& 1
12.5%
Space Separator
ValueCountFrequency (%)
101
100.0%
Open Punctuation
ValueCountFrequency (%)
( 63
100.0%
Close Punctuation
ValueCountFrequency (%)
) 63
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2459
81.7%
Latin 282
 
9.4%
Common 269
 
8.9%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 123
 
5.0%
이 121
 
4.9%
점 104
 
4.2%
스 69
 
2.8%
파 59
 
2.4%
베 55
 
2.2%
레 50
 
2.0%
바 48
 
2.0%
크 42
 
1.7%
커 40
 
1.6%
Other values (329) 1748
71.1%
Latin
ValueCountFrequency (%)
a 25
 
8.9%
e 19
 
6.7%
o 13
 
4.6%
A 12
 
4.3%
r 11
 
3.9%
E 11
 
3.9%
D 10
 
3.5%
n 9
 
3.2%
I 9
 
3.2%
B 9
 
3.2%
Other values (34) 154
54.6%
Common
ValueCountFrequency (%)
101
37.5%
( 63
23.4%
) 63
23.4%
2 8
 
3.0%
1 6
 
2.2%
5 5
 
1.9%
8 4
 
1.5%
3 3
 
1.1%
9 2
 
0.7%
. 2
 
0.7%
Other values (7) 12
 
4.5%
Han
ValueCountFrequency (%)
月 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2459
81.7%
ASCII 551
 
18.3%
CJK 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
리 123
 
5.0%
이 121
 
4.9%
점 104
 
4.2%
스 69
 
2.8%
파 59
 
2.4%
베 55
 
2.2%
레 50
 
2.0%
바 48
 
2.0%
크 42
 
1.7%
커 40
 
1.6%
Other values (329) 1748
71.1%
ASCII
ValueCountFrequency (%)
101
18.3%
( 63
 
11.4%
) 63
 
11.4%
a 25
 
4.5%
e 19
 
3.4%
o 13
 
2.4%
A 12
 
2.2%
r 11
 
2.0%
E 11
 
2.0%
D 10
 
1.8%
Other values (51) 223
40.5%
CJK
ValueCountFrequency (%)
月 1
100.0%

최종수정일자
Date

Distinct367
Distinct (%)95.3%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
Minimum2002-05-27 00:00:00
Maximum2024-05-08 13:43:45
2024-05-11T15:23:51.017360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:23:51.310176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
I
193 
U
192 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 193
50.1%
U 192
49.9%

Length

2024-05-11T15:23:51.592464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:23:51.842628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 193
50.1%
u 192
49.9%

데이터갱신일자
Date

Distinct207
Distinct (%)53.8%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:09:00
2024-05-11T15:23:52.078418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:23:52.336382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
제과점영업
385 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
제과점영업 385
100.0%

Length

2024-05-11T15:23:52.574548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:23:52.757876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제과점영업 385
100.0%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct256
Distinct (%)67.4%
Missing5
Missing (%)1.3%
Infinite0
Infinite (%)0.0%
Mean198119.95
Minimum193187.8
Maximum200866.59
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2024-05-11T15:23:53.002906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum193187.8
5-th percentile196239.93
Q1196762.08
median197526.1
Q3199570.43
95-th percentile200614.36
Maximum200866.59
Range7678.7888
Interquartile range (IQR)2808.3487

Descriptive statistics

Standard deviation1507.145
Coefficient of variation (CV)0.0076072348
Kurtosis-1.0618437
Mean198119.95
Median Absolute Deviation (MAD)969.70337
Skewness0.29662213
Sum75285582
Variance2271486.1
MonotonicityNot monotonic
2024-05-11T15:23:53.296559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
196762.077394917 50
 
13.0%
197373.839856311 15
 
3.9%
200231.538140657 11
 
2.9%
200437.601967198 10
 
2.6%
197138.823553 5
 
1.3%
198622.89264988 2
 
0.5%
197158.923647874 2
 
0.5%
196522.360946947 2
 
0.5%
196149.859380737 2
 
0.5%
196943.407752166 2
 
0.5%
Other values (246) 279
72.5%
(Missing) 5
 
1.3%
ValueCountFrequency (%)
193187.802952358 1
0.3%
195547.140326252 2
0.5%
195653.553341643 1
0.3%
195670.19398129 1
0.3%
195692.11418406 1
0.3%
195834.944403242 1
0.3%
195936.18328447 1
0.3%
195981.203408641 1
0.3%
196005.836412851 1
0.3%
196060.559012563 1
0.3%
ValueCountFrequency (%)
200866.591707005 2
0.5%
200853.895176774 1
0.3%
200846.604536733 1
0.3%
200824.55933234 1
0.3%
200801.405807527 1
0.3%
200793.804471719 1
0.3%
200784.153526121 1
0.3%
200751.839771325 1
0.3%
200700.521452218 1
0.3%
200697.42588055 1
0.3%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct256
Distinct (%)67.4%
Missing5
Missing (%)1.3%
Infinite0
Infinite (%)0.0%
Mean448120.96
Minimum446114.16
Maximum450265.32
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2024-05-11T15:23:54.099133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum446114.16
5-th percentile446613.96
Q1447480.04
median448024.72
Q3448570.43
95-th percentile450014.54
Maximum450265.32
Range4151.1656
Interquartile range (IQR)1090.3923

Descriptive statistics

Standard deviation888.63026
Coefficient of variation (CV)0.0019830143
Kurtosis0.064448261
Mean448120.96
Median Absolute Deviation (MAD)544.68088
Skewness0.36315085
Sum1.7028596 × 108
Variance789663.74
MonotonicityNot monotonic
2024-05-11T15:23:54.436126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
447480.039577359 50
 
13.0%
450014.537949042 15
 
3.9%
448226.481350525 11
 
2.9%
448269.566304924 10
 
2.6%
447436.953717 5
 
1.3%
446114.155238838 2
 
0.5%
447399.964398158 2
 
0.5%
448196.611004379 2
 
0.5%
448581.975861465 2
 
0.5%
449205.073886476 2
 
0.5%
Other values (246) 279
72.5%
(Missing) 5
 
1.3%
ValueCountFrequency (%)
446114.155238838 2
0.5%
446196.846273533 2
0.5%
446202.36502252 2
0.5%
446248.255892098 1
0.3%
446252.339785985 2
0.5%
446262.544080318 1
0.3%
446423.95305147 1
0.3%
446425.373848781 2
0.5%
446427.456797311 2
0.5%
446460.213382437 1
0.3%
ValueCountFrequency (%)
450265.320826032 1
 
0.3%
450176.498127493 1
 
0.3%
450172.178899424 1
 
0.3%
450139.846002725 1
 
0.3%
450075.476233156 1
 
0.3%
450071.208046076 2
 
0.5%
450014.537949042 15
3.9%
449914.844200704 1
 
0.3%
449898.051124054 1
 
0.3%
449892.557718372 1
 
0.3%

위생업태명
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
제과점영업
249 
<NA>
136 

Length

Max length5
Median length5
Mean length4.6467532
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
제과점영업 249
64.7%
<NA> 136
35.3%

Length

2024-05-11T15:23:54.653313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:23:54.819828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제과점영업 249
64.7%
na 136
35.3%

남성종사자수
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
<NA>
296 
0
76 
1
 
11
2
 
2

Length

Max length4
Median length4
Mean length3.3064935
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
<NA> 296
76.9%
0 76
 
19.7%
1 11
 
2.9%
2 2
 
0.5%

Length

2024-05-11T15:23:55.021186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:23:55.200066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 296
76.9%
0 76
 
19.7%
1 11
 
2.9%
2 2
 
0.5%

여성종사자수
Categorical

IMBALANCE 

Distinct6
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
<NA>
296 
0
74 
1
 
8
2
 
4
3
 
2

Length

Max length4
Median length4
Mean length3.3064935
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row<NA>
2nd row2
3rd row2
4th row1
5th row1

Common Values

ValueCountFrequency (%)
<NA> 296
76.9%
0 74
 
19.2%
1 8
 
2.1%
2 4
 
1.0%
3 2
 
0.5%
4 1
 
0.3%

Length

2024-05-11T15:23:55.438623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:23:55.610871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 296
76.9%
0 74
 
19.2%
1 8
 
2.1%
2 4
 
1.0%
3 2
 
0.5%
4 1
 
0.3%

영업장주변구분명
Categorical

IMBALANCE 

Distinct6
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
<NA>
328 
기타
40 
주택가주변
 
8
유흥업소밀집지역
 
5
아파트지역
 
3

Length

Max length8
Median length4
Mean length3.8831169
Min length2

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 328
85.2%
기타 40
 
10.4%
주택가주변 8
 
2.1%
유흥업소밀집지역 5
 
1.3%
아파트지역 3
 
0.8%
학교정화(상대) 1
 
0.3%

Length

2024-05-11T15:23:55.868744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:23:56.090058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 328
85.2%
기타 40
 
10.4%
주택가주변 8
 
2.1%
유흥업소밀집지역 5
 
1.3%
아파트지역 3
 
0.8%
학교정화(상대 1
 
0.3%

등급구분명
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
<NA>
348 
기타
 
19
지도
 
13
자율
 
5

Length

Max length4
Median length4
Mean length3.8077922
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 348
90.4%
기타 19
 
4.9%
지도 13
 
3.4%
자율 5
 
1.3%

Length

2024-05-11T15:23:56.346854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:23:56.547728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 348
90.4%
기타 19
 
4.9%
지도 13
 
3.4%
자율 5
 
1.3%

급수시설구분명
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
<NA>
244 
상수도전용
141 

Length

Max length5
Median length4
Mean length4.3662338
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 244
63.4%
상수도전용 141
36.6%

Length

2024-05-11T15:23:56.717133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:23:56.879018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 244
63.4%
상수도전용 141
36.6%

총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
<NA>
353 
0
 
32

Length

Max length4
Median length4
Mean length3.7506494
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> 353
91.7%
0 32
 
8.3%

Length

2024-05-11T15:23:57.056533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:23:57.237964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 353
91.7%
0 32
 
8.3%

본사종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
<NA>
352 
0
 
33

Length

Max length4
Median length4
Mean length3.7428571
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> 352
91.4%
0 33
 
8.6%

Length

2024-05-11T15:23:57.448207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:23:57.649648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 352
91.4%
0 33
 
8.6%

공장사무직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
<NA>
352 
0
 
33

Length

Max length4
Median length4
Mean length3.7428571
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> 352
91.4%
0 33
 
8.6%

Length

2024-05-11T15:23:57.822532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:23:58.017071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 352
91.4%
0 33
 
8.6%

공장판매직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
<NA>
352 
0
 
33

Length

Max length4
Median length4
Mean length3.7428571
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> 352
91.4%
0 33
 
8.6%

Length

2024-05-11T15:23:58.210432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:23:58.367872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 352
91.4%
0 33
 
8.6%

공장생산직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
<NA>
352 
0
 
33

Length

Max length4
Median length4
Mean length3.7428571
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> 352
91.4%
0 33
 
8.6%

Length

2024-05-11T15:23:58.536674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:23:58.744160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 352
91.4%
0 33
 
8.6%

건물소유구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing385
Missing (%)100.0%
Memory size3.5 KiB

보증액
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
<NA>
352 
0
 
33

Length

Max length4
Median length4
Mean length3.7428571
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> 352
91.4%
0 33
 
8.6%

Length

2024-05-11T15:23:58.964144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:23:59.134681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 352
91.4%
0 33
 
8.6%

월세액
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
<NA>
352 
0
 
33

Length

Max length4
Median length4
Mean length3.7428571
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> 352
91.4%
0 33
 
8.6%

Length

2024-05-11T15:23:59.313464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:23:59.518853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 352
91.4%
0 33
 
8.6%

다중이용업소여부
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)0.8%
Missing136
Missing (%)35.3%
Memory size902.0 B
False
243 
True
 
6
(Missing)
136 
ValueCountFrequency (%)
False 243
63.1%
True 6
 
1.6%
(Missing) 136
35.3%
2024-05-11T15:23:59.669713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

MISSING  ZEROS 

Distinct214
Distinct (%)85.9%
Missing136
Missing (%)35.3%
Infinite0
Infinite (%)0.0%
Mean55.627149
Minimum0
Maximum781.16
Zeros6
Zeros (%)1.6%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2024-05-11T15:23:59.971482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7.52
Q125
median40
Q363.4
95-th percentile152.26
Maximum781.16
Range781.16
Interquartile range (IQR)38.4

Descriptive statistics

Standard deviation69.215845
Coefficient of variation (CV)1.2442817
Kurtosis54.892529
Mean55.627149
Median Absolute Deviation (MAD)17.2
Skewness6.1942856
Sum13851.16
Variance4790.8332
MonotonicityNot monotonic
2024-05-11T15:24:00.252651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 6
 
1.6%
33.0 4
 
1.0%
26.4 3
 
0.8%
40.0 3
 
0.8%
36.3 3
 
0.8%
85.8 3
 
0.8%
31.0 2
 
0.5%
85.62 2
 
0.5%
53.01 2
 
0.5%
28.71 2
 
0.5%
Other values (204) 219
56.9%
(Missing) 136
35.3%
ValueCountFrequency (%)
0.0 6
1.6%
3.3 2
 
0.5%
3.78 1
 
0.3%
4.0 1
 
0.3%
6.0 1
 
0.3%
6.02 1
 
0.3%
7.2 1
 
0.3%
8.0 1
 
0.3%
8.25 1
 
0.3%
9.0 1
 
0.3%
ValueCountFrequency (%)
781.16 1
0.3%
495.65 1
0.3%
250.0 1
0.3%
241.53 1
0.3%
236.45 1
0.3%
234.5 1
0.3%
232.65 1
0.3%
183.12 1
0.3%
175.41 1
0.3%
175.0 1
0.3%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing385
Missing (%)100.0%
Memory size3.5 KiB

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing385
Missing (%)100.0%
Memory size3.5 KiB

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing385
Missing (%)100.0%
Memory size3.5 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
030200003020000-121-1978-000011978-07-14<NA>1영업/정상1영업<NA><NA><NA><NA>02 7971234210.3140-893서울특별시 용산구 한남동 747-7서울특별시 용산구 소월로 322 (한남동)4347그랜드하얏트서울델리2023-07-04 17:55:13U2022-12-07 00:06:00.0제과점영업199737.097414448587.753315<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
130200003020000-121-1978-0000219781218<NA>3폐업2폐업20130118<NA><NA><NA>020712407985.8140132서울특별시 용산구 청파동2가 63-5번지 (지하1층)<NA><NA>빵굼터2005-10-28 00:00:00I2018-08-31 23:59:59.0제과점영업196993.838133449201.432097제과점영업12학교정화(상대)지도상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N85.8<NA><NA><NA>
230200003020000-121-1979-0000119791212<NA>3폐업2폐업20061130<NA><NA><NA>020714453136.15140830서울특별시 용산구 서계동 267-6번지<NA><NA>몽마2004-09-13 00:00:00I2018-08-31 23:59:59.0제과점영업196633.073582449914.844201제과점영업12주택가주변지도상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N36.15<NA><NA><NA>
330200003020000-121-1980-0000119800701<NA>3폐업2폐업20080411<NA><NA><NA>02 749927623.46140825서울특별시 용산구 보광동 274-17번지<NA><NA>무림2004-09-13 00:00:00I2018-08-31 23:59:59.0제과점영업199656.93111447621.1701제과점영업11기타지도상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N23.46<NA><NA><NA>
430200003020000-121-1980-0000219801024<NA>1영업/정상1영업<NA><NA><NA><NA>02 719791729.21140855서울특별시 용산구 이촌동 197-5 지상1층서울특별시 용산구 이촌로 100-4 (이촌동,지상1층)4381초이19822021-04-22 16:30:13U2021-04-24 02:40:00.0제과점영업196292.452134446839.941677제과점영업11아파트지역지도상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N29.21<NA><NA><NA>
530200003020000-121-1981-0000119811216<NA>1영업/정상1영업<NA><NA><NA><NA>02 749 327725.8140841서울특별시 용산구 용산동2가 17번지 외1필지 1층서울특별시 용산구 신흥로 89, 1층 (용산동2가)4338뚜레쥬르(용산2가점)2016-01-11 11:37:40I2018-08-31 23:59:59.0제과점영업198644.48106449268.543468제과점영업02기타지도상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N25.8<NA><NA><NA>
630200003020000-121-1982-0000119821215<NA>1영업/정상1영업<NA><NA><NA><NA>020795075053.04140823서울특별시 용산구 보광동 217-39번지서울특별시 용산구 보광로 21 (보광동)4394주재근베이커리2013-01-02 14:55:13I2018-08-31 23:59:59.0제과점영업199981.676531447122.175724제과점영업11기타지도상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N53.04<NA><NA><NA>
730200003020000-121-1982-0000219820409<NA>3폐업2폐업20080124<NA><NA><NA>02 717725843.42140848서울특별시 용산구 원효로3가 61-2번지<NA><NA>박종관 과자점2004-09-13 00:00:00I2018-08-31 23:59:59.0제과점영업196240.413174448018.89427제과점영업11주택가주변지도상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N43.42<NA><NA><NA>
830200003020000-121-1986-0000119861027<NA>1영업/정상1영업<NA><NA><NA><NA>02 704920445.45140832서울특별시 용산구 용문동 25-1번지서울특별시 용산구 새창로 118 (용문동)4363케익하우스미호2006-04-28 00:00:00I2018-08-31 23:59:59.0제과점영업196443.305902448292.547661제과점영업11기타지도상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N45.45<NA><NA><NA>
930200003020000-121-1986-000021986-08-21<NA>1영업/정상1영업<NA><NA><NA><NA>0207921112314.07140-906서울특별시 용산구 이촌동 301-10 로얄상가 1층(7,8,9호), 2층(5,6,7호0서울특별시 용산구 이촌로 245, 1층(7,8,9)호, 2층(5,6,7)호 (이촌동, 로얄상가)4423파리크라상 이촌점2024-05-02 17:43:53U2023-12-05 00:08:00.0제과점영업197679.255159446425.373849<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
37530200003020000-121-2024-000102024-02-21<NA>3폐업2폐업2024-02-25<NA><NA><NA><NA><NA>140-780서울특별시 용산구 한강로3가 40-999 용산역서울특별시 용산구 한강대로23길 55, 용산역 아이파크몰 테이스트파크 7층 (한강로3가)4377꿀넹쿠키 연남점2024-02-26 04:15:08U2023-12-01 22:08:00.0제과점영업196762.077395447480.039577<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
37630200003020000-121-2024-000112024-02-21<NA>3폐업2폐업2024-03-14<NA><NA><NA><NA><NA>140-210서울특별시 용산구 한남동 829 나인원 한남서울특별시 용산구 한남대로 91, B2층 (한남동, 나인원 한남)4401굽기(goopkie)2024-03-15 04:15:09U2023-12-02 23:07:00.0제과점영업200231.538141448226.481351<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
37730200003020000-121-2024-000122024-02-28<NA>1영업/정상1영업<NA><NA><NA><NA><NA>15.99140-892서울특별시 용산구 한남동 683-6서울특별시 용산구 이태원로54길 28, 3층 (한남동)4400르솔레이2024-02-28 15:14:30I2023-12-03 00:02:00.0제과점영업200092.631159448318.968915<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
37830200003020000-121-2024-000132024-02-29<NA>3폐업2폐업2024-03-14<NA><NA><NA><NA><NA>140-780서울특별시 용산구 한강로3가 40-999 용산역서울특별시 용산구 한강대로23길 55, 용산역 4층 (한강로3가)4377그리디톰2024-03-15 04:15:09U2023-12-02 23:07:00.0제과점영업196762.077395447480.039577<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
37930200003020000-121-2024-000142024-03-21<NA>1영업/정상1영업<NA><NA><NA><NA><NA>14.8140-830서울특별시 용산구 서계동 243-13 동원당한의원서울특별시 용산구 만리재로 158, 동원당한의원 1층 (서계동)4302공공2024-03-21 10:00:27I2023-12-02 22:03:00.0제과점영업196784.65788450071.208046<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
38030200003020000-121-2024-000152024-04-04<NA>1영업/정상1영업<NA><NA><NA><NA><NA>84.0140-860서울특별시 용산구 이태원동 22-76 몬드리안 서울 이태원서울특별시 용산구 장문로 23, 몬드리안 서울 이태원 지하2층 B211호 (이태원동)4392(주)에이원에프앤비(후앙 몬드리안점)2024-04-04 13:35:24I2023-12-04 00:06:00.0제과점영업199337.628629447413.487156<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
38130200003020000-121-2024-000162024-04-08<NA>3폐업2폐업2024-04-14<NA><NA><NA><NA><NA>140-893서울특별시 용산구 한남동 742-1서울특별시 용산구 이태원로55길 60-16, 1층 (한남동)4348주식회사 엘비엠2024-04-15 04:15:08U2023-12-03 23:07:00.0제과점영업199867.090628448457.860856<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
38230200003020000-121-2024-000172024-04-16<NA>3폐업2폐업2024-05-02<NA><NA><NA><NA><NA>140-780서울특별시 용산구 한강로3가 40-999 용산역서울특별시 용산구 한강대로23길 55, 용산역 4층 (한강로3가)4377주디마리 홍대점(JUDYMARY)2024-05-03 04:15:08U2023-12-05 00:08:00.0제과점영업196762.077395447480.039577<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
38330200003020000-121-2024-000182024-04-18<NA>3폐업2폐업2024-05-06<NA><NA><NA><NA><NA>140-780서울특별시 용산구 한강로3가 40-999 용산역서울특별시 용산구 한강대로23길 55, 용산역 7층 (한강로3가)4377꿀넹쿠키 연남점2024-05-07 04:15:08U2023-12-05 00:09:00.0제과점영업196762.077395447480.039577<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
38430200003020000-121-2024-000192024-05-02<NA>1영업/정상1영업<NA><NA><NA><NA><NA>350.69140-884서울특별시 용산구 한남동 258 현대리버티하우스서울특별시 용산구 독서당로 70, 현대리버티하우스 1층 103,104,105,106,107호 (한남동)4420(주)닥터로빈 한남점2024-05-02 14:59:10I2023-12-05 00:08:00.0제과점영업200697.425881447925.577362<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>