Overview

Dataset statistics

Number of variables44
Number of observations447
Missing cells4425
Missing cells (%)22.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory164.7 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
Author서대문구
URLhttps://data.seoul.go.kr/dataList/OA-18414/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
업태구분명 has constant value ""Constant
여성종사자수 is highly imbalanced (52.1%)Imbalance
영업장주변구분명 is highly imbalanced (66.1%)Imbalance
등급구분명 is highly imbalanced (61.8%)Imbalance
총인원 is highly imbalanced (66.2%)Imbalance
본사종업원수 is highly imbalanced (65.3%)Imbalance
공장사무직종업원수 is highly imbalanced (65.3%)Imbalance
공장판매직종업원수 is highly imbalanced (65.3%)Imbalance
공장생산직종업원수 is highly imbalanced (65.3%)Imbalance
보증액 is highly imbalanced (65.3%)Imbalance
월세액 is highly imbalanced (65.3%)Imbalance
다중이용업소여부 is highly imbalanced (90.5%)Imbalance
인허가취소일자 has 447 (100.0%) missing valuesMissing
폐업일자 has 128 (28.6%) missing valuesMissing
휴업시작일자 has 447 (100.0%) missing valuesMissing
휴업종료일자 has 447 (100.0%) missing valuesMissing
재개업일자 has 447 (100.0%) missing valuesMissing
전화번호 has 224 (50.1%) missing valuesMissing
소재지면적 has 16 (3.6%) missing valuesMissing
소재지우편번호 has 9 (2.0%) missing valuesMissing
지번주소 has 9 (2.0%) missing valuesMissing
도로명주소 has 93 (20.8%) missing valuesMissing
도로명우편번호 has 102 (22.8%) missing valuesMissing
좌표정보(X) has 17 (3.8%) missing valuesMissing
좌표정보(Y) has 17 (3.8%) missing valuesMissing
건물소유구분명 has 447 (100.0%) missing valuesMissing
다중이용업소여부 has 117 (26.2%) missing valuesMissing
시설총규모 has 117 (26.2%) missing valuesMissing
전통업소지정번호 has 447 (100.0%) missing valuesMissing
전통업소주된음식 has 447 (100.0%) missing valuesMissing
홈페이지 has 447 (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
소재지면적 has 8 (1.8%) zerosZeros

Reproduction

Analysis started2024-04-29 19:42:35.213380
Analysis finished2024-04-29 19:42:36.173874
Duration0.96 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
3120000
447 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3120000
2nd row3120000
3rd row3120000
4th row3120000
5th row3120000

Common Values

ValueCountFrequency (%)
3120000 447
100.0%

Length

2024-04-30T04:42:36.237105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:42:36.318407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3120000 447
100.0%

관리번호
Text

UNIQUE 

Distinct447
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
2024-04-30T04:42:36.444725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters9834
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

Unique447 ?
Unique (%)100.0%

Sample

1st row3120000-121-1967-00001
2nd row3120000-121-1971-00001
3rd row3120000-121-1973-00001
4th row3120000-121-1976-00001
5th row3120000-121-1977-00001
ValueCountFrequency (%)
3120000-121-1967-00001 1
 
0.2%
3120000-121-2018-00001 1
 
0.2%
3120000-121-2017-00020 1
 
0.2%
3120000-121-2017-00019 1
 
0.2%
3120000-121-2017-00018 1
 
0.2%
3120000-121-2017-00017 1
 
0.2%
3120000-121-2017-00016 1
 
0.2%
3120000-121-2017-00015 1
 
0.2%
3120000-121-2017-00014 1
 
0.2%
3120000-121-2017-00013 1
 
0.2%
Other values (437) 437
97.8%
2024-04-30T04:42:36.711651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3925
39.9%
1 1861
18.9%
2 1534
 
15.6%
- 1341
 
13.6%
3 567
 
5.8%
9 194
 
2.0%
4 89
 
0.9%
8 85
 
0.9%
7 82
 
0.8%
5 79
 
0.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8493
86.4%
Dash Punctuation 1341
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3925
46.2%
1 1861
21.9%
2 1534
 
18.1%
3 567
 
6.7%
9 194
 
2.3%
4 89
 
1.0%
8 85
 
1.0%
7 82
 
1.0%
5 79
 
0.9%
6 77
 
0.9%
Dash Punctuation
ValueCountFrequency (%)
- 1341
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9834
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3925
39.9%
1 1861
18.9%
2 1534
 
15.6%
- 1341
 
13.6%
3 567
 
5.8%
9 194
 
2.0%
4 89
 
0.9%
8 85
 
0.9%
7 82
 
0.8%
5 79
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9834
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3925
39.9%
1 1861
18.9%
2 1534
 
15.6%
- 1341
 
13.6%
3 567
 
5.8%
9 194
 
2.0%
4 89
 
0.9%
8 85
 
0.9%
7 82
 
0.8%
5 79
 
0.8%

인허가일자
Date

Distinct409
Distinct (%)91.5%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
Minimum1967-10-10 00:00:00
Maximum2024-04-02 00:00:00
2024-04-30T04:42:36.838233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:42:37.047338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing447
Missing (%)100.0%
Memory size4.1 KiB

영업상태코드
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
3
319 
1
128 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 319
71.4%
1 128
28.6%

Length

2024-04-30T04:42:37.237805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:42:37.368625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 319
71.4%
1 128
28.6%

영업상태명
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
폐업
319 
영업/정상
128 

Length

Max length5
Median length2
Mean length2.8590604
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 319
71.4%
영업/정상 128
28.6%

Length

2024-04-30T04:42:37.466323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:42:37.563026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 319
71.4%
영업/정상 128
28.6%

상세영업상태코드
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
2
319 
1
128 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 319
71.4%
1 128
28.6%

Length

2024-04-30T04:42:37.651980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:42:37.727522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 319
71.4%
1 128
28.6%

상세영업상태명
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
폐업
319 
영업
128 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 319
71.4%
영업 128
28.6%

Length

2024-04-30T04:42:37.831441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:42:37.912899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 319
71.4%
영업 128
28.6%

폐업일자
Date

MISSING 

Distinct276
Distinct (%)86.5%
Missing128
Missing (%)28.6%
Memory size3.6 KiB
Minimum2005-10-31 00:00:00
Maximum2024-04-12 00:00:00
2024-04-30T04:42:38.013011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:42:38.132547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing447
Missing (%)100.0%
Memory size4.1 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing447
Missing (%)100.0%
Memory size4.1 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing447
Missing (%)100.0%
Memory size4.1 KiB

전화번호
Text

MISSING 

Distinct215
Distinct (%)96.4%
Missing224
Missing (%)50.1%
Memory size3.6 KiB
2024-04-30T04:42:38.409391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length10.672646
Min length2

Characters and Unicode

Total characters2380
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

Unique207 ?
Unique (%)92.8%

Sample

1st row02 7327608
2nd row0200000000
3rd row02 735 3475
4th row02 362 8358
5th row02 3249717
ValueCountFrequency (%)
02 150
31.1%
379 6
 
1.2%
302 6
 
1.2%
364 5
 
1.0%
031 5
 
1.0%
313 5
 
1.0%
305 4
 
0.8%
362 4
 
0.8%
070 3
 
0.6%
303 3
 
0.6%
Other values (258) 292
60.5%
2024-04-30T04:42:38.793691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 402
16.9%
2 359
15.1%
3 356
15.0%
346
14.5%
5 159
 
6.7%
7 151
 
6.3%
1 141
 
5.9%
6 128
 
5.4%
4 118
 
5.0%
9 112
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2034
85.5%
Space Separator 346
 
14.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 402
19.8%
2 359
17.6%
3 356
17.5%
5 159
 
7.8%
7 151
 
7.4%
1 141
 
6.9%
6 128
 
6.3%
4 118
 
5.8%
9 112
 
5.5%
8 108
 
5.3%
Space Separator
ValueCountFrequency (%)
346
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2380
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 402
16.9%
2 359
15.1%
3 356
15.0%
346
14.5%
5 159
 
6.7%
7 151
 
6.3%
1 141
 
5.9%
6 128
 
5.4%
4 118
 
5.0%
9 112
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2380
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 402
16.9%
2 359
15.1%
3 356
15.0%
346
14.5%
5 159
 
6.7%
7 151
 
6.3%
1 141
 
5.9%
6 128
 
5.4%
4 118
 
5.0%
9 112
 
4.7%

소재지면적
Real number (ℝ)

MISSING  ZEROS 

Distinct313
Distinct (%)72.6%
Missing16
Missing (%)3.6%
Infinite0
Infinite (%)0.0%
Mean53.062088
Minimum0
Maximum425.55
Zeros8
Zeros (%)1.8%
Negative0
Negative (%)0.0%
Memory size4.1 KiB
2024-04-30T04:42:38.915825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q119.42
median37
Q366
95-th percentile165.45
Maximum425.55
Range425.55
Interquartile range (IQR)46.58

Descriptive statistics

Standard deviation55.93424
Coefficient of variation (CV)1.0541281
Kurtosis11.253683
Mean53.062088
Median Absolute Deviation (MAD)20.5
Skewness2.7611747
Sum22869.76
Variance3128.6392
MonotonicityNot monotonic
2024-04-30T04:42:39.024886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
30.0 12
 
2.7%
3.0 9
 
2.0%
0.0 8
 
1.8%
6.6 7
 
1.6%
3.3 6
 
1.3%
20.0 5
 
1.1%
10.0 5
 
1.1%
2.4 5
 
1.1%
25.0 5
 
1.1%
39.6 5
 
1.1%
Other values (303) 364
81.4%
(Missing) 16
 
3.6%
ValueCountFrequency (%)
0.0 8
1.8%
1.2 1
 
0.2%
2.4 5
1.1%
3.0 9
2.0%
3.3 6
1.3%
3.72 1
 
0.2%
4.95 2
 
0.4%
5.0 1
 
0.2%
5.17 1
 
0.2%
5.25 1
 
0.2%
ValueCountFrequency (%)
425.55 1
0.2%
414.77 1
0.2%
346.16 1
0.2%
289.25 1
0.2%
253.82 1
0.2%
248.78 1
0.2%
244.62 1
0.2%
240.3 1
0.2%
228.64 1
0.2%
200.0 1
0.2%

소재지우편번호
Text

MISSING 

Distinct90
Distinct (%)20.5%
Missing9
Missing (%)2.0%
Memory size3.6 KiB
2024-04-30T04:42:39.245190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.1484018
Min length6

Characters and Unicode

Total characters2693
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

Unique28 ?
Unique (%)6.4%

Sample

1st row120808
2nd row120808
3rd row120-856
4th row120808
5th row120825
ValueCountFrequency (%)
120834 39
 
8.9%
120706 32
 
7.3%
120808 24
 
5.5%
120825 23
 
5.3%
120-706 14
 
3.2%
120857 13
 
3.0%
120-825 12
 
2.7%
120848 12
 
2.7%
120833 11
 
2.5%
120854 11
 
2.5%
Other values (80) 247
56.4%
2024-04-30T04:42:39.589822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 655
24.3%
1 539
20.0%
2 527
19.6%
8 372
13.8%
4 110
 
4.1%
3 101
 
3.8%
5 100
 
3.7%
7 98
 
3.6%
6 75
 
2.8%
- 65
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2628
97.6%
Dash Punctuation 65
 
2.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 655
24.9%
1 539
20.5%
2 527
20.1%
8 372
14.2%
4 110
 
4.2%
3 101
 
3.8%
5 100
 
3.8%
7 98
 
3.7%
6 75
 
2.9%
9 51
 
1.9%
Dash Punctuation
ValueCountFrequency (%)
- 65
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2693
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 655
24.3%
1 539
20.0%
2 527
19.6%
8 372
13.8%
4 110
 
4.1%
3 101
 
3.8%
5 100
 
3.7%
7 98
 
3.6%
6 75
 
2.8%
- 65
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2693
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 655
24.3%
1 539
20.0%
2 527
19.6%
8 372
13.8%
4 110
 
4.1%
3 101
 
3.8%
5 100
 
3.7%
7 98
 
3.6%
6 75
 
2.8%
- 65
 
2.4%

지번주소
Text

MISSING 

Distinct374
Distinct (%)85.4%
Missing9
Missing (%)2.0%
Memory size3.6 KiB
2024-04-30T04:42:39.781904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length44
Mean length28.440639
Min length17

Characters and Unicode

Total characters12457
Distinct characters209
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

Unique356 ?
Unique (%)81.3%

Sample

1st row서울특별시 서대문구 대현동 33-13번지
2nd row서울특별시 서대문구 대현동 40-32번지
3rd row서울특별시 서대문구 홍제동 174-56 1층, 지하1층
4th row서울특별시 서대문구 대현동 56-126번지
5th row서울특별시 서대문구 연희동 132-20번지
ValueCountFrequency (%)
서울특별시 438
19.8%
서대문구 438
19.8%
창천동 102
 
4.6%
연희동 65
 
2.9%
홍제동 62
 
2.8%
1층 55
 
2.5%
현대백화점신촌점 43
 
1.9%
30-33 41
 
1.9%
대현동 39
 
1.8%
남가좌동 39
 
1.8%
Other values (537) 893
40.3%
2024-04-30T04:42:40.128187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2083
 
16.7%
서 879
 
7.1%
대 563
 
4.5%
1 557
 
4.5%
3 511
 
4.1%
동 455
 
3.7%
울 441
 
3.5%
문 441
 
3.5%
시 440
 
3.5%
구 440
 
3.5%
Other values (199) 5647
45.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7489
60.1%
Decimal Number 2254
 
18.1%
Space Separator 2083
 
16.7%
Dash Punctuation 411
 
3.3%
Uppercase Letter 55
 
0.4%
Close Punctuation 52
 
0.4%
Open Punctuation 52
 
0.4%
Other Punctuation 45
 
0.4%
Lowercase Letter 12
 
0.1%
Math Symbol 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 879
 
11.7%
대 563
 
7.5%
동 455
 
6.1%
울 441
 
5.9%
문 441
 
5.9%
시 440
 
5.9%
구 440
 
5.9%
별 439
 
5.9%
특 438
 
5.8%
지 395
 
5.3%
Other values (166) 2558
34.2%
Decimal Number
ValueCountFrequency (%)
1 557
24.7%
3 511
22.7%
0 246
10.9%
2 232
10.3%
4 183
 
8.1%
5 125
 
5.5%
9 104
 
4.6%
6 103
 
4.6%
7 97
 
4.3%
8 96
 
4.3%
Uppercase Letter
ValueCountFrequency (%)
D 13
23.6%
M 13
23.6%
C 13
23.6%
B 6
10.9%
A 6
10.9%
P 1
 
1.8%
T 1
 
1.8%
K 1
 
1.8%
S 1
 
1.8%
Lowercase Letter
ValueCountFrequency (%)
e 5
41.7%
a 2
 
16.7%
b 2
 
16.7%
d 1
 
8.3%
m 1
 
8.3%
c 1
 
8.3%
Other Punctuation
ValueCountFrequency (%)
, 40
88.9%
. 3
 
6.7%
@ 2
 
4.4%
Space Separator
ValueCountFrequency (%)
2083
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 411
100.0%
Close Punctuation
ValueCountFrequency (%)
) 52
100.0%
Open Punctuation
ValueCountFrequency (%)
( 52
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7489
60.1%
Common 4901
39.3%
Latin 67
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 879
 
11.7%
대 563
 
7.5%
동 455
 
6.1%
울 441
 
5.9%
문 441
 
5.9%
시 440
 
5.9%
구 440
 
5.9%
별 439
 
5.9%
특 438
 
5.8%
지 395
 
5.3%
Other values (166) 2558
34.2%
Common
ValueCountFrequency (%)
2083
42.5%
1 557
 
11.4%
3 511
 
10.4%
- 411
 
8.4%
0 246
 
5.0%
2 232
 
4.7%
4 183
 
3.7%
5 125
 
2.6%
9 104
 
2.1%
6 103
 
2.1%
Other values (8) 346
 
7.1%
Latin
ValueCountFrequency (%)
D 13
19.4%
M 13
19.4%
C 13
19.4%
B 6
9.0%
A 6
9.0%
e 5
 
7.5%
a 2
 
3.0%
b 2
 
3.0%
d 1
 
1.5%
P 1
 
1.5%
Other values (5) 5
 
7.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7489
60.1%
ASCII 4968
39.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2083
41.9%
1 557
 
11.2%
3 511
 
10.3%
- 411
 
8.3%
0 246
 
5.0%
2 232
 
4.7%
4 183
 
3.7%
5 125
 
2.5%
9 104
 
2.1%
6 103
 
2.1%
Other values (23) 413
 
8.3%
Hangul
ValueCountFrequency (%)
서 879
 
11.7%
대 563
 
7.5%
동 455
 
6.1%
울 441
 
5.9%
문 441
 
5.9%
시 440
 
5.9%
구 440
 
5.9%
별 439
 
5.9%
특 438
 
5.8%
지 395
 
5.3%
Other values (166) 2558
34.2%

도로명주소
Text

MISSING 

Distinct298
Distinct (%)84.2%
Missing93
Missing (%)20.8%
Memory size3.6 KiB
2024-04-30T04:42:40.340489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length49
Mean length34.042373
Min length22

Characters and Unicode

Total characters12051
Distinct characters203
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

Unique282 ?
Unique (%)79.7%

Sample

1st row서울특별시 서대문구 이화여대1길 13-6 (대현동)
2nd row서울특별시 서대문구 통일로 438, 1층,지하1층 (홍제동)
3rd row서울특별시 서대문구 성산로 521 (대신동)
4th row서울특별시 서대문구 증가로 10 (연희동)
5th row서울특별시 서대문구 연희로 207 (연희동)
ValueCountFrequency (%)
서울특별시 354
 
15.5%
서대문구 354
 
15.5%
1층 92
 
4.0%
신촌로 87
 
3.8%
창천동 87
 
3.8%
지하1층 74
 
3.2%
83 69
 
3.0%
연희동 54
 
2.4%
현대백화점신촌점 43
 
1.9%
홍제동 38
 
1.7%
Other values (481) 1032
45.2%
2024-04-30T04:42:40.727227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1930
 
16.0%
서 718
 
6.0%
대 496
 
4.1%
1 480
 
4.0%
( 376
 
3.1%
) 376
 
3.1%
동 375
 
3.1%
울 367
 
3.0%
문 364
 
3.0%
, 360
 
3.0%
Other values (193) 6209
51.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7362
61.1%
Space Separator 1930
 
16.0%
Decimal Number 1510
 
12.5%
Open Punctuation 376
 
3.1%
Close Punctuation 376
 
3.1%
Other Punctuation 361
 
3.0%
Dash Punctuation 64
 
0.5%
Uppercase Letter 59
 
0.5%
Lowercase Letter 8
 
0.1%
Math Symbol 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 718
 
9.8%
대 496
 
6.7%
동 375
 
5.1%
울 367
 
5.0%
문 364
 
4.9%
시 358
 
4.9%
별 355
 
4.8%
구 354
 
4.8%
특 354
 
4.8%
로 326
 
4.4%
Other values (166) 3295
44.8%
Decimal Number
ValueCountFrequency (%)
1 480
31.8%
3 197
13.0%
2 185
 
12.3%
0 138
 
9.1%
8 127
 
8.4%
4 113
 
7.5%
5 98
 
6.5%
7 70
 
4.6%
6 56
 
3.7%
9 46
 
3.0%
Uppercase Letter
ValueCountFrequency (%)
D 14
23.7%
M 14
23.7%
C 14
23.7%
B 13
22.0%
A 2
 
3.4%
S 1
 
1.7%
K 1
 
1.7%
Lowercase Letter
ValueCountFrequency (%)
e 6
75.0%
b 1
 
12.5%
a 1
 
12.5%
Other Punctuation
ValueCountFrequency (%)
, 360
99.7%
. 1
 
0.3%
Space Separator
ValueCountFrequency (%)
1930
100.0%
Open Punctuation
ValueCountFrequency (%)
( 376
100.0%
Close Punctuation
ValueCountFrequency (%)
) 376
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 64
100.0%
Math Symbol
ValueCountFrequency (%)
~ 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7362
61.1%
Common 4622
38.4%
Latin 67
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 718
 
9.8%
대 496
 
6.7%
동 375
 
5.1%
울 367
 
5.0%
문 364
 
4.9%
시 358
 
4.9%
별 355
 
4.8%
구 354
 
4.8%
특 354
 
4.8%
로 326
 
4.4%
Other values (166) 3295
44.8%
Common
ValueCountFrequency (%)
1930
41.8%
1 480
 
10.4%
( 376
 
8.1%
) 376
 
8.1%
, 360
 
7.8%
3 197
 
4.3%
2 185
 
4.0%
0 138
 
3.0%
8 127
 
2.7%
4 113
 
2.4%
Other values (7) 340
 
7.4%
Latin
ValueCountFrequency (%)
D 14
20.9%
M 14
20.9%
C 14
20.9%
B 13
19.4%
e 6
9.0%
A 2
 
3.0%
b 1
 
1.5%
a 1
 
1.5%
S 1
 
1.5%
K 1
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7362
61.1%
ASCII 4689
38.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1930
41.2%
1 480
 
10.2%
( 376
 
8.0%
) 376
 
8.0%
, 360
 
7.7%
3 197
 
4.2%
2 185
 
3.9%
0 138
 
2.9%
8 127
 
2.7%
4 113
 
2.4%
Other values (17) 407
 
8.7%
Hangul
ValueCountFrequency (%)
서 718
 
9.8%
대 496
 
6.7%
동 375
 
5.1%
울 367
 
5.0%
문 364
 
4.9%
시 358
 
4.9%
별 355
 
4.8%
구 354
 
4.8%
특 354
 
4.8%
로 326
 
4.4%
Other values (166) 3295
44.8%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct107
Distinct (%)31.0%
Missing102
Missing (%)22.8%
Infinite0
Infinite (%)0.0%
Mean3721.6348
Minimum3602
Maximum3789
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.1 KiB
2024-04-30T04:42:40.854573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3602
5-th percentile3629
Q13681
median3722
Q33777
95-th percentile3789
Maximum3789
Range187
Interquartile range (IQR)96

Descriptive statistics

Standard deviation54.425327
Coefficient of variation (CV)0.014624038
Kurtosis-1.0390676
Mean3721.6348
Median Absolute Deviation (MAD)47
Skewness-0.2927746
Sum1283964
Variance2962.1162
MonotonicityNot monotonic
2024-04-30T04:42:40.970621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3789 72
 
16.1%
3707 18
 
4.0%
3722 14
 
3.1%
3766 11
 
2.5%
3709 8
 
1.8%
3632 8
 
1.8%
3703 7
 
1.6%
3646 6
 
1.3%
3675 6
 
1.3%
3730 6
 
1.3%
Other values (97) 189
42.3%
(Missing) 102
22.8%
ValueCountFrequency (%)
3602 1
 
0.2%
3605 3
0.7%
3616 2
 
0.4%
3617 2
 
0.4%
3619 2
 
0.4%
3624 2
 
0.4%
3625 2
 
0.4%
3628 1
 
0.2%
3629 5
1.1%
3630 2
 
0.4%
ValueCountFrequency (%)
3789 72
16.1%
3788 2
 
0.4%
3787 1
 
0.2%
3785 2
 
0.4%
3781 1
 
0.2%
3780 2
 
0.4%
3779 4
 
0.9%
3777 5
 
1.1%
3776 1
 
0.2%
3774 4
 
0.9%

사업장명
Text

Distinct393
Distinct (%)87.9%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
2024-04-30T04:42:41.351614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length22
Mean length7.9955257
Min length2

Characters and Unicode

Total characters3574
Distinct characters432
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique359 ?
Unique (%)80.3%

Sample

1st row던킨도너츠이대1호점
2nd row신촌과자점
3rd row주재근베이커리 홍제
4th row파리크라상이대점
5th row독일빵집
ValueCountFrequency (%)
파리바게뜨 19
 
3.1%
뚜레쥬르 16
 
2.6%
베이커리 10
 
1.6%
동네빵네 8
 
1.3%
파리바게트 7
 
1.1%
던킨도너츠 6
 
1.0%
북가좌점 5
 
0.8%
베즐리 4
 
0.7%
크라운베이커리 4
 
0.7%
신촌점 4
 
0.7%
Other values (461) 532
86.5%
2024-04-30T04:42:41.677302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
169
 
4.7%
리 165
 
4.6%
이 120
 
3.4%
점 117
 
3.3%
베 90
 
2.5%
( 72
 
2.0%
) 72
 
2.0%
커 68
 
1.9%
빵 57
 
1.6%
파 55
 
1.5%
Other values (422) 2589
72.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2846
79.6%
Lowercase Letter 231
 
6.5%
Space Separator 169
 
4.7%
Uppercase Letter 153
 
4.3%
Open Punctuation 72
 
2.0%
Close Punctuation 72
 
2.0%
Decimal Number 16
 
0.4%
Other Punctuation 11
 
0.3%
Dash Punctuation 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 165
 
5.8%
이 120
 
4.2%
점 117
 
4.1%
베 90
 
3.2%
커 68
 
2.4%
빵 57
 
2.0%
파 55
 
1.9%
레 49
 
1.7%
바 48
 
1.7%
스 45
 
1.6%
Other values (362) 2032
71.4%
Lowercase Letter
ValueCountFrequency (%)
e 37
16.0%
a 28
12.1%
r 17
 
7.4%
n 17
 
7.4%
o 16
 
6.9%
i 11
 
4.8%
g 11
 
4.8%
l 10
 
4.3%
d 10
 
4.3%
t 10
 
4.3%
Other values (13) 64
27.7%
Uppercase Letter
ValueCountFrequency (%)
E 22
14.4%
O 14
 
9.2%
M 12
 
7.8%
A 11
 
7.2%
N 10
 
6.5%
C 10
 
6.5%
B 10
 
6.5%
I 7
 
4.6%
K 7
 
4.6%
S 7
 
4.6%
Other values (12) 43
28.1%
Decimal Number
ValueCountFrequency (%)
1 4
25.0%
9 3
18.8%
8 3
18.8%
2 3
18.8%
4 1
 
6.2%
7 1
 
6.2%
3 1
 
6.2%
Other Punctuation
ValueCountFrequency (%)
. 4
36.4%
& 3
27.3%
' 2
18.2%
? 2
18.2%
Space Separator
ValueCountFrequency (%)
169
100.0%
Open Punctuation
ValueCountFrequency (%)
( 72
100.0%
Close Punctuation
ValueCountFrequency (%)
) 72
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2844
79.6%
Latin 384
 
10.7%
Common 344
 
9.6%
Han 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 165
 
5.8%
이 120
 
4.2%
점 117
 
4.1%
베 90
 
3.2%
커 68
 
2.4%
빵 57
 
2.0%
파 55
 
1.9%
레 49
 
1.7%
바 48
 
1.7%
스 45
 
1.6%
Other values (361) 2030
71.4%
Latin
ValueCountFrequency (%)
e 37
 
9.6%
a 28
 
7.3%
E 22
 
5.7%
r 17
 
4.4%
n 17
 
4.4%
o 16
 
4.2%
O 14
 
3.6%
M 12
 
3.1%
i 11
 
2.9%
g 11
 
2.9%
Other values (35) 199
51.8%
Common
ValueCountFrequency (%)
169
49.1%
( 72
20.9%
) 72
20.9%
. 4
 
1.2%
- 4
 
1.2%
1 4
 
1.2%
9 3
 
0.9%
& 3
 
0.9%
8 3
 
0.9%
2 3
 
0.9%
Other values (5) 7
 
2.0%
Han
ValueCountFrequency (%)
晧 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2844
79.6%
ASCII 728
 
20.4%
CJK 2
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
169
23.2%
( 72
 
9.9%
) 72
 
9.9%
e 37
 
5.1%
a 28
 
3.8%
E 22
 
3.0%
r 17
 
2.3%
n 17
 
2.3%
o 16
 
2.2%
O 14
 
1.9%
Other values (50) 264
36.3%
Hangul
ValueCountFrequency (%)
리 165
 
5.8%
이 120
 
4.2%
점 117
 
4.1%
베 90
 
3.2%
커 68
 
2.4%
빵 57
 
2.0%
파 55
 
1.9%
레 49
 
1.7%
바 48
 
1.7%
스 45
 
1.6%
Other values (361) 2030
71.4%
CJK
ValueCountFrequency (%)
晧 2
100.0%

최종수정일자
Date

Distinct427
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
Minimum1999-01-09 00:00:00
Maximum2024-04-15 14:06:27
2024-04-30T04:42:41.811629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:42:41.957054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
I
272 
U
175 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 272
60.9%
U 175
39.1%

Length

2024-04-30T04:42:42.079294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:42:42.164827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 272
60.9%
u 175
39.1%

데이터갱신일자
Date

Distinct195
Distinct (%)43.6%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:04:00
2024-04-30T04:42:42.256315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:42:42.358874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
제과점영업
447 

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 447
100.0%

Length

2024-04-30T04:42:42.459183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:42:42.532375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제과점영업 447
100.0%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct280
Distinct (%)65.1%
Missing17
Missing (%)3.8%
Infinite0
Infinite (%)0.0%
Mean194351.01
Minimum191559.92
Maximum197144.02
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.1 KiB
2024-04-30T04:42:42.612406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum191559.92
5-th percentile192307.07
Q1193716.34
median194265.07
Q3195105.43
95-th percentile196140.58
Maximum197144.02
Range5584.0973
Interquartile range (IQR)1389.0923

Descriptive statistics

Standard deviation1112.8295
Coefficient of variation (CV)0.0057258747
Kurtosis-0.11604893
Mean194351.01
Median Absolute Deviation (MAD)713.07369
Skewness-0.11026826
Sum83570935
Variance1238389.6
MonotonicityNot monotonic
2024-04-30T04:42:42.715596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
194265.067639805 76
 
17.0%
194584.959249312 14
 
3.1%
193716.339877929 5
 
1.1%
192480.02944094 4
 
0.9%
195255.302109637 4
 
0.9%
192672.067512964 4
 
0.9%
192726.0 3
 
0.7%
192874.514454351 3
 
0.7%
194431.210886894 3
 
0.7%
192000.945942229 3
 
0.7%
Other values (270) 311
69.6%
(Missing) 17
 
3.8%
ValueCountFrequency (%)
191559.918118738 1
 
0.2%
191586.918506689 1
 
0.2%
191865.599883311 1
 
0.2%
191871.266137314 1
 
0.2%
191963.427181257 1
 
0.2%
192000.945942229 3
0.7%
192028.41586192 2
0.4%
192038.132045493 1
 
0.2%
192075.309345073 1
 
0.2%
192079.366557621 1
 
0.2%
ValueCountFrequency (%)
197144.015440398 1
 
0.2%
196892.09236853 1
 
0.2%
196843.714729578 1
 
0.2%
196840.383889937 1
 
0.2%
196817.665945947 1
 
0.2%
196778.886840551 1
 
0.2%
196760.178073359 1
 
0.2%
196742.104095577 1
 
0.2%
196738.597229323 3
0.7%
196680.837898287 1
 
0.2%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct280
Distinct (%)65.1%
Missing17
Missing (%)3.8%
Infinite0
Infinite (%)0.0%
Mean451939.03
Minimum450387.14
Maximum455250.96
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.1 KiB
2024-04-30T04:42:42.833239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum450387.14
5-th percentile450433.69
Q1450620.6
median451653.56
Q3453188.15
95-th percentile454316.48
Maximum455250.96
Range4863.8246
Interquartile range (IQR)2567.5465

Descriptive statistics

Standard deviation1373.1446
Coefficient of variation (CV)0.0030383403
Kurtosis-0.96262073
Mean451939.03
Median Absolute Deviation (MAD)1162.16
Skewness0.52215694
Sum1.9433378 × 108
Variance1885526
MonotonicityNot monotonic
2024-04-30T04:42:42.949237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
450433.691021245 76
 
17.0%
451381.585492051 14
 
3.1%
451653.563671802 5
 
1.1%
452634.55767379 4
 
0.9%
453798.487252104 4
 
0.9%
452221.960661496 4
 
0.9%
451998.0 3
 
0.7%
452525.219515622 3
 
0.7%
454202.157007871 3
 
0.7%
452848.009128439 3
 
0.7%
Other values (270) 311
69.6%
(Missing) 17
 
3.8%
ValueCountFrequency (%)
450387.139950052 1
 
0.2%
450391.53849739 1
 
0.2%
450419.039009871 1
 
0.2%
450422.374151297 3
 
0.7%
450422.710778816 1
 
0.2%
450433.691021245 76
17.0%
450501.1688616 1
 
0.2%
450511.163904995 1
 
0.2%
450514.690947083 1
 
0.2%
450516.885928437 1
 
0.2%
ValueCountFrequency (%)
455250.964502089 1
0.2%
455246.102082101 1
0.2%
455243.364454087 1
0.2%
455216.149400157 1
0.2%
455205.609230077 1
0.2%
455150.485492924 1
0.2%
455056.561067336 1
0.2%
454957.941646244 1
0.2%
454826.588975265 1
0.2%
454663.234904157 1
0.2%

위생업태명
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
제과점영업
330 
<NA>
117 

Length

Max length5
Median length5
Mean length4.738255
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
제과점영업 330
73.8%
<NA> 117
 
26.2%

Length

2024-04-30T04:42:43.061516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:42:43.151590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제과점영업 330
73.8%
na 117
 
26.2%

남성종사자수
Categorical

Distinct4
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
<NA>
303 
0
125 
1
 
16
2
 
3

Length

Max length4
Median length4
Mean length3.033557
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row1
3rd row<NA>
4th row1
5th row1

Common Values

ValueCountFrequency (%)
<NA> 303
67.8%
0 125
28.0%
1 16
 
3.6%
2 3
 
0.7%

Length

2024-04-30T04:42:43.257983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:42:43.346237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 303
67.8%
0 125
28.0%
1 16
 
3.6%
2 3
 
0.7%

여성종사자수
Categorical

IMBALANCE 

Distinct6
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
<NA>
303 
0
116 
2
 
13
1
 
10
3
 
4

Length

Max length4
Median length4
Mean length3.033557
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

1st row2
2nd row3
3rd row<NA>
4th row4
5th row2

Common Values

ValueCountFrequency (%)
<NA> 303
67.8%
0 116
 
26.0%
2 13
 
2.9%
1 10
 
2.2%
3 4
 
0.9%
4 1
 
0.2%

Length

2024-04-30T04:42:43.439677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:42:43.531672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 303
67.8%
0 116
 
26.0%
2 13
 
2.9%
1 10
 
2.2%
3 4
 
0.9%
4 1
 
0.2%

영업장주변구분명
Categorical

IMBALANCE 

Distinct7
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
<NA>
368 
주택가주변
46 
기타
 
22
유흥업소밀집지역
 
7
아파트지역
 
2
Other values (2)
 
2

Length

Max length8
Median length4
Mean length4.0872483
Min length2

Unique

Unique2 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 368
82.3%
주택가주변 46
 
10.3%
기타 22
 
4.9%
유흥업소밀집지역 7
 
1.6%
아파트지역 2
 
0.4%
학교정화(상대) 1
 
0.2%
결혼예식장주변 1
 
0.2%

Length

2024-04-30T04:42:43.629161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:42:43.726185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 368
82.3%
주택가주변 46
 
10.3%
기타 22
 
4.9%
유흥업소밀집지역 7
 
1.6%
아파트지역 2
 
0.4%
학교정화(상대 1
 
0.2%
결혼예식장주변 1
 
0.2%

등급구분명
Categorical

IMBALANCE 

Distinct6
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
<NA>
374 
기타
 
26
을
 
19
지도
 
12
자율
 
12

Length

Max length4
Median length4
Mean length3.6219239
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 374
83.7%
기타 26
 
5.8%
을 19
 
4.3%
지도 12
 
2.7%
자율 12
 
2.7%
갑 4
 
0.9%

Length

2024-04-30T04:42:43.860735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:42:43.965104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 374
83.7%
기타 26
 
5.8%
을 19
 
4.3%
지도 12
 
2.7%
자율 12
 
2.7%
갑 4
 
0.9%

급수시설구분명
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
<NA>
331 
상수도전용
116 

Length

Max length5
Median length4
Mean length4.2595078
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 331
74.0%
상수도전용 116
 
26.0%

Length

2024-04-30T04:42:44.076234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:42:44.172460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 331
74.0%
상수도전용 116
 
26.0%

총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
<NA>
419 
0
 
28

Length

Max length4
Median length4
Mean length3.8120805
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> 419
93.7%
0 28
 
6.3%

Length

2024-04-30T04:42:44.272827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:42:44.363018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 419
93.7%
0 28
 
6.3%

본사종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
<NA>
418 
0
 
29

Length

Max length4
Median length4
Mean length3.8053691
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> 418
93.5%
0 29
 
6.5%

Length

2024-04-30T04:42:44.467633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:42:44.559321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 418
93.5%
0 29
 
6.5%

공장사무직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
<NA>
418 
0
 
29

Length

Max length4
Median length4
Mean length3.8053691
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> 418
93.5%
0 29
 
6.5%

Length

2024-04-30T04:42:44.655502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:42:44.734356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 418
93.5%
0 29
 
6.5%

공장판매직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
<NA>
418 
0
 
29

Length

Max length4
Median length4
Mean length3.8053691
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> 418
93.5%
0 29
 
6.5%

Length

2024-04-30T04:42:44.820215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:42:44.902222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 418
93.5%
0 29
 
6.5%

공장생산직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
<NA>
418 
0
 
29

Length

Max length4
Median length4
Mean length3.8053691
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> 418
93.5%
0 29
 
6.5%

Length

2024-04-30T04:42:44.986607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:42:45.072416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 418
93.5%
0 29
 
6.5%

건물소유구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing447
Missing (%)100.0%
Memory size4.1 KiB

보증액
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
<NA>
418 
0
 
29

Length

Max length4
Median length4
Mean length3.8053691
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> 418
93.5%
0 29
 
6.5%

Length

2024-04-30T04:42:45.159570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:42:45.249109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 418
93.5%
0 29
 
6.5%

월세액
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
<NA>
418 
0
 
29

Length

Max length4
Median length4
Mean length3.8053691
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> 418
93.5%
0 29
 
6.5%

Length

2024-04-30T04:42:45.349406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:42:45.457037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 418
93.5%
0 29
 
6.5%

다중이용업소여부
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)0.6%
Missing117
Missing (%)26.2%
Memory size1.0 KiB
False
326 
True
 
4
(Missing)
117 
ValueCountFrequency (%)
False 326
72.9%
True 4
 
0.9%
(Missing) 117
 
26.2%
2024-04-30T04:42:45.532068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

MISSING 

Distinct248
Distinct (%)75.2%
Missing117
Missing (%)26.2%
Infinite0
Infinite (%)0.0%
Mean49.077242
Minimum0
Maximum425.55
Zeros4
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size4.1 KiB
2024-04-30T04:42:45.628598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q119.1775
median34.605
Q362.02
95-th percentile132.55
Maximum425.55
Range425.55
Interquartile range (IQR)42.8425

Descriptive statistics

Standard deviation50.655492
Coefficient of variation (CV)1.0321585
Kurtosis14.276674
Mean49.077242
Median Absolute Deviation (MAD)18.42
Skewness3.0356064
Sum16195.49
Variance2565.9789
MonotonicityNot monotonic
2024-04-30T04:42:45.736940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
30.0 9
 
2.0%
3.0 8
 
1.8%
6.6 7
 
1.6%
2.4 5
 
1.1%
39.6 5
 
1.1%
0.0 4
 
0.9%
16.5 4
 
0.9%
20.0 4
 
0.9%
3.3 4
 
0.9%
29.7 3
 
0.7%
Other values (238) 277
62.0%
(Missing) 117
26.2%
ValueCountFrequency (%)
0.0 4
0.9%
1.2 1
 
0.2%
2.4 5
1.1%
3.0 8
1.8%
3.3 4
0.9%
4.95 1
 
0.2%
5.0 1
 
0.2%
5.25 1
 
0.2%
6.0 3
 
0.7%
6.6 7
1.6%
ValueCountFrequency (%)
425.55 1
0.2%
346.16 1
0.2%
253.82 1
0.2%
248.78 1
0.2%
240.3 1
0.2%
228.64 1
0.2%
200.0 1
0.2%
199.86 1
0.2%
188.1 1
0.2%
172.59 1
0.2%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing447
Missing (%)100.0%
Memory size4.1 KiB

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing447
Missing (%)100.0%
Memory size4.1 KiB

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing447
Missing (%)100.0%
Memory size4.1 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
031200003120000-121-1967-0000119671010<NA>3폐업2폐업20130418<NA><NA><NA>02 732760879.45120808서울특별시 서대문구 대현동 33-13번지<NA><NA>던킨도너츠이대1호점2010-03-02 14:13:23I2018-08-31 23:59:59.0제과점영업195105.432191450778.886366제과점영업02기타지도상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N79.45<NA><NA><NA>
131200003120000-121-1971-0000119710809<NA>3폐업2폐업20150629<NA><NA><NA>020000000029.4120808서울특별시 서대문구 대현동 40-32번지서울특별시 서대문구 이화여대1길 13-6 (대현동)3766신촌과자점2015-06-29 09:32:47I2018-08-31 23:59:59.0제과점영업195068.208376450532.622548제과점영업13기타지도상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N29.4<NA><NA><NA>
231200003120000-121-1973-000011973-10-17<NA>1영업/정상1영업<NA><NA><NA><NA>02 735 3475289.25120-856서울특별시 서대문구 홍제동 174-56 1층, 지하1층서울특별시 서대문구 통일로 438, 1층,지하1층 (홍제동)3630주재근베이커리 홍제2023-08-11 15:48:52U2022-12-07 23:04:00.0제과점영업195101.20377453985.399133<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
331200003120000-121-1976-0000119760228<NA>3폐업2폐업20100813<NA><NA><NA>02 362 8358240.3120808서울특별시 서대문구 대현동 56-126번지<NA><NA>파리크라상이대점2010-03-04 09:50:39I2018-08-31 23:59:59.0제과점영업195110.236332450729.979329제과점영업14유흥업소밀집지역갑상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N240.3<NA><NA><NA>
431200003120000-121-1977-0000119770325<NA>3폐업2폐업20120829<NA><NA><NA>02 324971719.17120825서울특별시 서대문구 연희동 132-20번지<NA><NA>독일빵집2011-07-07 16:27:10I2018-08-31 23:59:59.0제과점영업193750.706517451708.308496제과점영업12주택가주변을상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N19.17<NA><NA><NA>
531200003120000-121-1979-0000119790627<NA>1영업/정상1영업<NA><NA><NA><NA>02 392578997.29120160서울특별시 서대문구 대신동 50-6서울특별시 서대문구 성산로 521 (대신동)3721이화당2022-01-25 16:35:29U2022-01-27 02:40:00.0제과점영업194956.054121451227.70714제과점영업03주택가주변을상수도전용00000<NA>00N97.29<NA><NA><NA>
631200003120000-121-1980-0000119801209<NA>1영업/정상1영업<NA><NA><NA><NA>02 336477582.45120824서울특별시 서대문구 연희동 90-5번지서울특별시 서대문구 증가로 10 (연희동)3698피터팬2015-06-10 12:33:52I2018-08-31 23:59:59.0제과점영업193900.025384451904.382481제과점영업02주택가주변을상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N82.45<NA><NA><NA>
731200003120000-121-1980-0000219801224<NA>3폐업2폐업20100413<NA><NA><NA>02 373 768838.5120816서울특별시 서대문구 북가좌동 371-12번지<NA><NA>꼬망스베이커리2010-02-05 15:04:27I2018-08-31 23:59:59.0제과점영업191559.918119452563.291845제과점영업02기타지도상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N38.5<NA><NA><NA>
831200003120000-121-1981-0000119810820<NA>3폐업2폐업20200420<NA><NA><NA>02 324114831.91120827서울특별시 서대문구 연희동 150-5번지서울특별시 서대문구 연희로 207 (연희동)3696동네빵네박복만베이커리2020-04-20 11:16:05U2020-04-22 02:40:00.0제과점영업194194.420383452591.088989제과점영업02주택가주변을상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N31.91<NA><NA><NA>
931200003120000-121-1981-0000219810609<NA>3폐업2폐업20060320<NA><NA><NA>02 302199555.36120848서울특별시 서대문구 홍은동 401-40번지<NA><NA>황성욱 빠띠시애2006-02-16 00:00:00I2018-08-31 23:59:59.0제과점영업193383.191295453201.577292제과점영업02주택가주변을상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N55.36<NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
43731200003120000-121-2023-000232023-10-11<NA>3폐업2폐업2023-10-21<NA><NA><NA><NA><NA>120-848서울특별시 서대문구 홍은동 429서울특별시 서대문구 연희로 262-24, 홍제천 폭포마당 (홍은동)3653연희동 국화빵2023-10-22 04:15:09U2022-10-30 22:04:00.0제과점영업194366.912686453218.662022<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43831200003120000-121-2023-000242023-10-11<NA>1영업/정상1영업<NA><NA><NA><NA><NA>23.47120-825서울특별시 서대문구 연희동 131-1 사러가쇼핑서울특별시 서대문구 연희맛로 23, 사러가쇼핑 1층 6호 (연희동)3707금옥호두2023-10-11 15:17:58I2022-10-30 23:03:00.0제과점영업193716.339878451653.563672<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43931200003120000-121-2023-000252023-10-11<NA>1영업/정상1영업<NA><NA><NA><NA><NA>48.54120-859서울특별시 서대문구 홍제동 173-17 동진빌라서울특별시 서대문구 통일로35길 66, 1층 102호 (홍제동, 동진빌라)3646인리제과(inly bakery)2023-10-11 16:54:49I2022-10-30 23:03:00.0제과점영업195039.093632453926.776667<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
44031200003120000-121-2023-000262023-11-30<NA>1영업/정상1영업<NA><NA><NA><NA><NA>43.84120-012서울특별시 서대문구 충정로2가 104-2서울특별시 서대문구 충정로9길 20, 1층 (충정로2가)3736오 마이 치아바타2023-11-30 15:04:18I2022-11-02 00:02:00.0제과점영업196778.886841451358.926537<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
44131200003120000-121-2023-000272023-12-07<NA>1영업/정상1영업<NA><NA><NA><NA><NA>7.44120-808서울특별시 서대문구 대현동 60-11서울특별시 서대문구 신촌역로 22-5, 2층 38호 (대현동)3766산타할머니2023-12-07 15:37:23I2022-11-02 00:09:00.0제과점영업194955.406354450620.463749<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
44231200003120000-121-2023-000282023-12-19<NA>3폐업2폐업2023-12-31<NA><NA><NA>031 5252555<NA>120-706서울특별시 서대문구 창천동 30-33 현대백화점신촌점서울특별시 서대문구 신촌로 83, 현대백화점신촌점 지하1층 (창천동)3789베즐리2024-01-01 04:15:09U2023-12-01 00:03:00.0제과점영업194265.06764450433.691021<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
44331200003120000-121-2024-000012024-01-02<NA>1영업/정상1영업<NA><NA><NA><NA><NA>33.0120-827서울특별시 서대문구 연희동 717-31서울특별시 서대문구 홍제천로 156-8, 1층 좌측호 (연희동)3695헤브어 밀(Have a meal)2024-01-02 13:45:35I2023-12-01 00:04:00.0제과점영업193827.881483452730.878959<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
44431200003120000-121-2024-000022024-01-10<NA>1영업/정상1영업<NA><NA><NA><NA><NA>28.0120-825서울특별시 서대문구 연희동 188-47 자활사업단서울특별시 서대문구 연희로11마길 86-77, 자활사업단 1층 (연희동)3701서대문지역자활센터(카페사업단 커피지기)2024-01-10 16:02:39I2023-11-30 23:02:00.0제과점영업193423.550018452263.136506<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
44531200003120000-121-2024-000032024-02-07<NA>3폐업2폐업2024-02-14<NA><NA><NA><NA><NA>120-706서울특별시 서대문구 창천동 30-33 현대백화점신촌점서울특별시 서대문구 신촌로 83, 현대백화점신촌점 지하1층 식품관 (창천동)3789당고집2024-02-15 04:15:09U2023-12-01 23:07:00.0제과점영업194265.06764450433.691021<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
44631200003120000-121-2024-000042024-04-02<NA>1영업/정상1영업<NA><NA><NA><NA><NA>46.95120-120서울특별시 서대문구 남가좌동 385 DMC파크뷰자이서울특별시 서대문구 가재울미래로 2, 제상가205동 1층 103-1호 (남가좌동, DMC파크뷰자이)3711오와케이크 가재울DMC점2024-04-02 11:13:20I2023-12-04 00:04:00.0제과점영업192672.067513452221.960661<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>