Overview

Dataset statistics

Number of variables44
Number of observations454
Missing cells4557
Missing cells (%)22.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory167.3 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
Author구로구
URLhttps://data.seoul.go.kr/dataList/OA-18418/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
업태구분명 has constant value ""Constant
등급구분명 is highly imbalanced (55.4%)Imbalance
총인원 is highly imbalanced (67.5%)Imbalance
본사종업원수 is highly imbalanced (67.5%)Imbalance
공장사무직종업원수 is highly imbalanced (67.5%)Imbalance
공장판매직종업원수 is highly imbalanced (67.5%)Imbalance
공장생산직종업원수 is highly imbalanced (67.5%)Imbalance
보증액 is highly imbalanced (67.5%)Imbalance
월세액 is highly imbalanced (67.5%)Imbalance
다중이용업소여부 is highly imbalanced (95.1%)Imbalance
인허가취소일자 has 454 (100.0%) missing valuesMissing
폐업일자 has 113 (24.9%) missing valuesMissing
휴업시작일자 has 454 (100.0%) missing valuesMissing
휴업종료일자 has 454 (100.0%) missing valuesMissing
재개업일자 has 454 (100.0%) missing valuesMissing
전화번호 has 259 (57.0%) missing valuesMissing
소재지면적 has 16 (3.5%) missing valuesMissing
도로명주소 has 160 (35.2%) missing valuesMissing
도로명우편번호 has 165 (36.3%) missing valuesMissing
좌표정보(X) has 12 (2.6%) missing valuesMissing
좌표정보(Y) has 12 (2.6%) missing valuesMissing
건물소유구분명 has 454 (100.0%) missing valuesMissing
다중이용업소여부 has 93 (20.5%) missing valuesMissing
시설총규모 has 93 (20.5%) missing valuesMissing
전통업소지정번호 has 454 (100.0%) missing valuesMissing
전통업소주된음식 has 454 (100.0%) missing valuesMissing
홈페이지 has 454 (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 25 (5.5%) zerosZeros
시설총규모 has 18 (4.0%) zerosZeros

Reproduction

Analysis started2024-05-11 06:59:32.589893
Analysis finished2024-05-11 06:59:33.820364
Duration1.23 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
3160000
454 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3160000
2nd row3160000
3rd row3160000
4th row3160000
5th row3160000

Common Values

ValueCountFrequency (%)
3160000 454
100.0%

Length

2024-05-11T15:59:33.914059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:59:34.035237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3160000 454
100.0%

관리번호
Text

UNIQUE 

Distinct454
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
2024-05-11T15:59:34.284554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters9988
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

Unique454 ?
Unique (%)100.0%

Sample

1st row3160000-121-1899-08029
2nd row3160000-121-1977-06339
3rd row3160000-121-1980-06331
4th row3160000-121-1981-06364
5th row3160000-121-1981-06367
ValueCountFrequency (%)
3160000-121-1899-08029 1
 
0.2%
3160000-121-2014-00014 1
 
0.2%
3160000-121-2016-00003 1
 
0.2%
3160000-121-2016-00002 1
 
0.2%
3160000-121-2016-00001 1
 
0.2%
3160000-121-2015-00020 1
 
0.2%
3160000-121-2015-00019 1
 
0.2%
3160000-121-2015-00018 1
 
0.2%
3160000-121-2015-00017 1
 
0.2%
3160000-121-2015-00016 1
 
0.2%
Other values (444) 444
97.8%
2024-05-11T15:59:34.736061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3773
37.8%
1 1860
18.6%
- 1362
 
13.6%
2 1070
 
10.7%
3 604
 
6.0%
6 592
 
5.9%
9 237
 
2.4%
8 140
 
1.4%
4 130
 
1.3%
7 119
 
1.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8626
86.4%
Dash Punctuation 1362
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3773
43.7%
1 1860
21.6%
2 1070
 
12.4%
3 604
 
7.0%
6 592
 
6.9%
9 237
 
2.7%
8 140
 
1.6%
4 130
 
1.5%
7 119
 
1.4%
5 101
 
1.2%
Dash Punctuation
ValueCountFrequency (%)
- 1362
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9988
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3773
37.8%
1 1860
18.6%
- 1362
 
13.6%
2 1070
 
10.7%
3 604
 
6.0%
6 592
 
5.9%
9 237
 
2.4%
8 140
 
1.4%
4 130
 
1.3%
7 119
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9988
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3773
37.8%
1 1860
18.6%
- 1362
 
13.6%
2 1070
 
10.7%
3 604
 
6.0%
6 592
 
5.9%
9 237
 
2.4%
8 140
 
1.4%
4 130
 
1.3%
7 119
 
1.2%

인허가일자
Date

Distinct432
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
Minimum1977-10-11 00:00:00
Maximum2024-05-02 00:00:00
2024-05-11T15:59:34.925281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:59:35.110216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing454
Missing (%)100.0%
Memory size4.1 KiB

영업상태코드
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
3
341 
1
113 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 341
75.1%
1 113
 
24.9%

Length

2024-05-11T15:59:35.295371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:59:35.425751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 341
75.1%
1 113
 
24.9%

영업상태명
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
폐업
341 
영업/정상
113 

Length

Max length5
Median length2
Mean length2.746696
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 341
75.1%
영업/정상 113
 
24.9%

Length

2024-05-11T15:59:35.578751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:59:35.724611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 341
75.1%
영업/정상 113
 
24.9%

상세영업상태코드
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
2
341 
1
113 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 341
75.1%
1 113
 
24.9%

Length

2024-05-11T15:59:35.887870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:59:36.083086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 341
75.1%
1 113
 
24.9%

상세영업상태명
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
폐업
341 
영업
113 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 341
75.1%
영업 113
 
24.9%

Length

2024-05-11T15:59:36.225524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:59:36.354845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 341
75.1%
영업 113
 
24.9%

폐업일자
Date

MISSING 

Distinct302
Distinct (%)88.6%
Missing113
Missing (%)24.9%
Memory size3.7 KiB
Minimum1995-04-01 00:00:00
Maximum2024-04-04 00:00:00
2024-05-11T15:59:36.518296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:59:36.730667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing454
Missing (%)100.0%
Memory size4.1 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing454
Missing (%)100.0%
Memory size4.1 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing454
Missing (%)100.0%
Memory size4.1 KiB

전화번호
Text

MISSING 

Distinct180
Distinct (%)92.3%
Missing259
Missing (%)57.0%
Memory size3.7 KiB
2024-05-11T15:59:37.051289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length10.220513
Min length2

Characters and Unicode

Total characters1993
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

Unique173 ?
Unique (%)88.7%

Sample

1st row0226118995
2nd row0226135429
3rd row02 8647827
4th row02 6868956
5th row0226836115
ValueCountFrequency (%)
02 123
36.8%
070 4
 
1.2%
818 4
 
1.2%
0020 3
 
0.9%
4253011 3
 
0.9%
6830216 2
 
0.6%
8180083 2
 
0.6%
0226363290 2
 
0.6%
0220091053 2
 
0.6%
857 2
 
0.6%
Other values (187) 187
56.0%
2024-05-11T15:59:37.643871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 388
19.5%
0 344
17.3%
6 194
9.7%
186
9.3%
8 183
9.2%
1 144
 
7.2%
5 138
 
6.9%
3 123
 
6.2%
7 105
 
5.3%
4 98
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1807
90.7%
Space Separator 186
 
9.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 388
21.5%
0 344
19.0%
6 194
10.7%
8 183
10.1%
1 144
 
8.0%
5 138
 
7.6%
3 123
 
6.8%
7 105
 
5.8%
4 98
 
5.4%
9 90
 
5.0%
Space Separator
ValueCountFrequency (%)
186
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1993
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 388
19.5%
0 344
17.3%
6 194
9.7%
186
9.3%
8 183
9.2%
1 144
 
7.2%
5 138
 
6.9%
3 123
 
6.2%
7 105
 
5.3%
4 98
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1993
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 388
19.5%
0 344
17.3%
6 194
9.7%
186
9.3%
8 183
9.2%
1 144
 
7.2%
5 138
 
6.9%
3 123
 
6.2%
7 105
 
5.3%
4 98
 
4.9%

소재지면적
Real number (ℝ)

MISSING  ZEROS 

Distinct291
Distinct (%)66.4%
Missing16
Missing (%)3.5%
Infinite0
Infinite (%)0.0%
Mean44.441347
Minimum0
Maximum657.75
Zeros25
Zeros (%)5.5%
Negative0
Negative (%)0.0%
Memory size4.1 KiB
2024-05-11T15:59:37.904505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q120.3625
median32.525
Q354.3675
95-th percentile117.271
Maximum657.75
Range657.75
Interquartile range (IQR)34.005

Descriptive statistics

Standard deviation48.595123
Coefficient of variation (CV)1.0934665
Kurtosis60.904161
Mean44.441347
Median Absolute Deviation (MAD)16.51
Skewness5.8266255
Sum19465.31
Variance2361.486
MonotonicityNot monotonic
2024-05-11T15:59:38.634321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 25
 
5.5%
6.6 10
 
2.2%
33.0 9
 
2.0%
26.4 8
 
1.8%
10.0 7
 
1.5%
30.0 6
 
1.3%
49.5 5
 
1.1%
9.9 4
 
0.9%
57.42 4
 
0.9%
29.0 4
 
0.9%
Other values (281) 356
78.4%
(Missing) 16
 
3.5%
ValueCountFrequency (%)
0.0 25
5.5%
3.0 3
 
0.7%
3.2 1
 
0.2%
3.3 1
 
0.2%
3.4 1
 
0.2%
4.0 2
 
0.4%
4.9 1
 
0.2%
6.0 2
 
0.4%
6.6 10
 
2.2%
7.8 1
 
0.2%
ValueCountFrequency (%)
657.75 1
0.2%
298.37 1
0.2%
265.0 1
0.2%
264.1 1
0.2%
217.0 1
0.2%
190.74 1
0.2%
167.05 1
0.2%
162.08 1
0.2%
156.75 1
0.2%
150.66 1
0.2%

소재지우편번호
Text

Distinct124
Distinct (%)27.4%
Missing1
Missing (%)0.2%
Memory size3.7 KiB
2024-05-11T15:59:39.113530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.1346578
Min length6

Characters and Unicode

Total characters2779
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique49 ?
Unique (%)10.8%

Sample

1st row152831
2nd row152836
3rd row152855
4th row152809
5th row152816
ValueCountFrequency (%)
152706 34
 
7.5%
152888 23
 
5.1%
152862 15
 
3.3%
152880 14
 
3.1%
152-706 13
 
2.9%
152868 12
 
2.6%
152838 11
 
2.4%
152848 10
 
2.2%
152130 9
 
2.0%
152823 8
 
1.8%
Other values (114) 304
67.1%
2024-05-11T15:59:39.882689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 534
19.2%
2 522
18.8%
5 519
18.7%
8 488
17.6%
0 179
 
6.4%
6 129
 
4.6%
7 128
 
4.6%
3 87
 
3.1%
4 73
 
2.6%
- 61
 
2.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2718
97.8%
Dash Punctuation 61
 
2.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 534
19.6%
2 522
19.2%
5 519
19.1%
8 488
18.0%
0 179
 
6.6%
6 129
 
4.7%
7 128
 
4.7%
3 87
 
3.2%
4 73
 
2.7%
9 59
 
2.2%
Dash Punctuation
ValueCountFrequency (%)
- 61
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2779
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 534
19.2%
2 522
18.8%
5 519
18.7%
8 488
17.6%
0 179
 
6.4%
6 129
 
4.6%
7 128
 
4.6%
3 87
 
3.1%
4 73
 
2.6%
- 61
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2779
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 534
19.2%
2 522
18.8%
5 519
18.7%
8 488
17.6%
0 179
 
6.4%
6 129
 
4.6%
7 128
 
4.6%
3 87
 
3.1%
4 73
 
2.6%
- 61
 
2.2%

지번주소
Text

Distinct395
Distinct (%)87.2%
Missing1
Missing (%)0.2%
Memory size3.7 KiB
2024-05-11T15:59:40.319421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length65
Median length46
Mean length28.057395
Min length15

Characters and Unicode

Total characters12710
Distinct characters233
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

Unique373 ?
Unique (%)82.3%

Sample

1st row서울특별시 구로구 고척동 195-18번지
2nd row서울특별시 구로구 고척동 269-18번지
3rd row서울특별시 구로구 구로동 416-25번지
4th row서울특별시 구로구 개봉동 202-18번지
5th row서울특별시 구로구 개봉동 403-53번지
ValueCountFrequency (%)
서울특별시 453
19.0%
구로구 453
19.0%
구로동 177
 
7.4%
신도림동 87
 
3.6%
개봉동 71
 
3.0%
고척동 50
 
2.1%
디큐브시티 44
 
1.8%
692 39
 
1.6%
오류동 35
 
1.5%
1층 26
 
1.1%
Other values (618) 949
39.8%
2024-05-11T15:59:41.090618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2260
17.8%
구 1114
 
8.8%
로 655
 
5.2%
1 563
 
4.4%
시 502
 
3.9%
동 501
 
3.9%
서 453
 
3.6%
특 453
 
3.6%
별 453
 
3.6%
울 453
 
3.6%
Other values (223) 5303
41.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7539
59.3%
Decimal Number 2418
 
19.0%
Space Separator 2260
 
17.8%
Dash Punctuation 327
 
2.6%
Uppercase Letter 78
 
0.6%
Other Punctuation 40
 
0.3%
Close Punctuation 19
 
0.1%
Open Punctuation 19
 
0.1%
Lowercase Letter 6
 
< 0.1%
Math Symbol 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 1114
14.8%
로 655
 
8.7%
시 502
 
6.7%
동 501
 
6.6%
서 453
 
6.0%
특 453
 
6.0%
별 453
 
6.0%
울 453
 
6.0%
지 364
 
4.8%
번 287
 
3.8%
Other values (186) 2304
30.6%
Uppercase Letter
ValueCountFrequency (%)
B 24
30.8%
A 14
17.9%
K 13
16.7%
S 9
 
11.5%
F 6
 
7.7%
C 3
 
3.8%
G 2
 
2.6%
T 2
 
2.6%
N 1
 
1.3%
L 1
 
1.3%
Other values (3) 3
 
3.8%
Decimal Number
ValueCountFrequency (%)
1 563
23.3%
2 358
14.8%
0 262
10.8%
6 229
9.5%
3 225
 
9.3%
5 202
 
8.4%
4 172
 
7.1%
7 142
 
5.9%
9 137
 
5.7%
8 128
 
5.3%
Lowercase Letter
ValueCountFrequency (%)
o 1
16.7%
w 1
16.7%
e 1
16.7%
r 1
16.7%
k 1
16.7%
s 1
16.7%
Other Punctuation
ValueCountFrequency (%)
, 37
92.5%
. 2
 
5.0%
/ 1
 
2.5%
Space Separator
ValueCountFrequency (%)
2260
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 327
100.0%
Close Punctuation
ValueCountFrequency (%)
) 19
100.0%
Open Punctuation
ValueCountFrequency (%)
( 19
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7539
59.3%
Common 5087
40.0%
Latin 84
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1114
14.8%
로 655
 
8.7%
시 502
 
6.7%
동 501
 
6.6%
서 453
 
6.0%
특 453
 
6.0%
별 453
 
6.0%
울 453
 
6.0%
지 364
 
4.8%
번 287
 
3.8%
Other values (186) 2304
30.6%
Latin
ValueCountFrequency (%)
B 24
28.6%
A 14
16.7%
K 13
15.5%
S 9
 
10.7%
F 6
 
7.1%
C 3
 
3.6%
G 2
 
2.4%
T 2
 
2.4%
N 1
 
1.2%
L 1
 
1.2%
Other values (9) 9
 
10.7%
Common
ValueCountFrequency (%)
2260
44.4%
1 563
 
11.1%
2 358
 
7.0%
- 327
 
6.4%
0 262
 
5.2%
6 229
 
4.5%
3 225
 
4.4%
5 202
 
4.0%
4 172
 
3.4%
7 142
 
2.8%
Other values (8) 347
 
6.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7539
59.3%
ASCII 5171
40.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2260
43.7%
1 563
 
10.9%
2 358
 
6.9%
- 327
 
6.3%
0 262
 
5.1%
6 229
 
4.4%
3 225
 
4.4%
5 202
 
3.9%
4 172
 
3.3%
7 142
 
2.7%
Other values (27) 431
 
8.3%
Hangul
ValueCountFrequency (%)
구 1114
14.8%
로 655
 
8.7%
시 502
 
6.7%
동 501
 
6.6%
서 453
 
6.0%
특 453
 
6.0%
별 453
 
6.0%
울 453
 
6.0%
지 364
 
4.8%
번 287
 
3.8%
Other values (186) 2304
30.6%

도로명주소
Text

MISSING 

Distinct244
Distinct (%)83.0%
Missing160
Missing (%)35.2%
Memory size3.7 KiB
2024-05-11T15:59:41.558881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length64
Median length51
Mean length36.170068
Min length22

Characters and Unicode

Total characters10634
Distinct characters217
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

Unique230 ?
Unique (%)78.2%

Sample

1st row서울특별시 구로구 개봉로 63 (개봉동)
2nd row서울특별시 구로구 경인로40길 41 (개봉동,,6,7(1층))
3rd row서울특별시 구로구 공원로7길 18 (구로동,(산목길10))
4th row서울특별시 구로구 구일로4길 46 (구로동,연예인 상가 104호)
5th row서울특별시 구로구 구로동로28길 2 (구로동)
ValueCountFrequency (%)
서울특별시 294
 
14.5%
구로구 294
 
14.5%
1층 85
 
4.2%
구로동 84
 
4.2%
신도림동 77
 
3.8%
경인로 76
 
3.8%
662 52
 
2.6%
개봉동 46
 
2.3%
디큐브시티 46
 
2.3%
지하2층 41
 
2.0%
Other values (469) 929
45.9%
2024-05-11T15:59:42.308971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1732
 
16.3%
구 741
 
7.0%
로 730
 
6.9%
1 481
 
4.5%
, 371
 
3.5%
시 346
 
3.3%
동 340
 
3.2%
2 325
 
3.1%
) 308
 
2.9%
( 308
 
2.9%
Other values (207) 4952
46.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6155
57.9%
Space Separator 1732
 
16.3%
Decimal Number 1661
 
15.6%
Other Punctuation 371
 
3.5%
Close Punctuation 308
 
2.9%
Open Punctuation 308
 
2.9%
Dash Punctuation 45
 
0.4%
Uppercase Letter 45
 
0.4%
Lowercase Letter 6
 
0.1%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 741
 
12.0%
로 730
 
11.9%
시 346
 
5.6%
동 340
 
5.5%
서 299
 
4.9%
특 294
 
4.8%
별 294
 
4.8%
울 294
 
4.8%
층 188
 
3.1%
림 131
 
2.1%
Other values (171) 2498
40.6%
Uppercase Letter
ValueCountFrequency (%)
B 14
31.1%
A 6
13.3%
K 6
13.3%
S 5
 
11.1%
F 3
 
6.7%
C 2
 
4.4%
D 2
 
4.4%
G 2
 
4.4%
M 1
 
2.2%
T 1
 
2.2%
Other values (3) 3
 
6.7%
Decimal Number
ValueCountFrequency (%)
1 481
29.0%
2 325
19.6%
6 192
 
11.6%
0 157
 
9.5%
3 138
 
8.3%
4 97
 
5.8%
7 84
 
5.1%
5 79
 
4.8%
9 56
 
3.4%
8 52
 
3.1%
Lowercase Letter
ValueCountFrequency (%)
o 1
16.7%
w 1
16.7%
e 1
16.7%
r 1
16.7%
s 1
16.7%
k 1
16.7%
Math Symbol
ValueCountFrequency (%)
~ 2
66.7%
+ 1
33.3%
Space Separator
ValueCountFrequency (%)
1732
100.0%
Other Punctuation
ValueCountFrequency (%)
, 371
100.0%
Close Punctuation
ValueCountFrequency (%)
) 308
100.0%
Open Punctuation
ValueCountFrequency (%)
( 308
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 45
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6155
57.9%
Common 4428
41.6%
Latin 51
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 741
 
12.0%
로 730
 
11.9%
시 346
 
5.6%
동 340
 
5.5%
서 299
 
4.9%
특 294
 
4.8%
별 294
 
4.8%
울 294
 
4.8%
층 188
 
3.1%
림 131
 
2.1%
Other values (171) 2498
40.6%
Latin
ValueCountFrequency (%)
B 14
27.5%
A 6
11.8%
K 6
11.8%
S 5
 
9.8%
F 3
 
5.9%
C 2
 
3.9%
D 2
 
3.9%
G 2
 
3.9%
M 1
 
2.0%
T 1
 
2.0%
Other values (9) 9
17.6%
Common
ValueCountFrequency (%)
1732
39.1%
1 481
 
10.9%
, 371
 
8.4%
2 325
 
7.3%
) 308
 
7.0%
( 308
 
7.0%
6 192
 
4.3%
0 157
 
3.5%
3 138
 
3.1%
4 97
 
2.2%
Other values (7) 319
 
7.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6155
57.9%
ASCII 4479
42.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1732
38.7%
1 481
 
10.7%
, 371
 
8.3%
2 325
 
7.3%
) 308
 
6.9%
( 308
 
6.9%
6 192
 
4.3%
0 157
 
3.5%
3 138
 
3.1%
4 97
 
2.2%
Other values (26) 370
 
8.3%
Hangul
ValueCountFrequency (%)
구 741
 
12.0%
로 730
 
11.9%
시 346
 
5.6%
동 340
 
5.5%
서 299
 
4.9%
특 294
 
4.8%
별 294
 
4.8%
울 294
 
4.8%
층 188
 
3.1%
림 131
 
2.1%
Other values (171) 2498
40.6%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct100
Distinct (%)34.6%
Missing165
Missing (%)36.3%
Infinite0
Infinite (%)0.0%
Mean8277.5052
Minimum8202
Maximum8395
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.1 KiB
2024-05-11T15:59:42.574897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8202
5-th percentile8209
Q18213
median8276
Q38323
95-th percentile8382.2
Maximum8395
Range193
Interquartile range (IQR)110

Descriptive statistics

Standard deviation59.032543
Coefficient of variation (CV)0.007131683
Kurtosis-1.0586212
Mean8277.5052
Median Absolute Deviation (MAD)53
Skewness0.38161311
Sum2392199
Variance3484.8411
MonotonicityNot monotonic
2024-05-11T15:59:42.858882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8209 54
 
11.9%
8288 13
 
2.9%
8208 10
 
2.2%
8292 9
 
2.0%
8365 7
 
1.5%
8268 6
 
1.3%
8329 5
 
1.1%
8276 5
 
1.1%
8304 5
 
1.1%
8308 4
 
0.9%
Other values (90) 171
37.7%
(Missing) 165
36.3%
ValueCountFrequency (%)
8202 1
 
0.2%
8207 1
 
0.2%
8208 10
 
2.2%
8209 54
11.9%
8210 3
 
0.7%
8211 2
 
0.4%
8212 1
 
0.2%
8213 2
 
0.4%
8216 2
 
0.4%
8218 1
 
0.2%
ValueCountFrequency (%)
8395 1
 
0.2%
8394 1
 
0.2%
8393 4
0.9%
8392 1
 
0.2%
8391 4
0.9%
8389 2
0.4%
8387 1
 
0.2%
8383 1
 
0.2%
8381 2
0.4%
8379 3
0.7%

사업장명
Text

Distinct404
Distinct (%)89.0%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
2024-05-11T15:59:43.467947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length23
Mean length8.0374449
Min length2

Characters and Unicode

Total characters3649
Distinct characters412
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique376 ?
Unique (%)82.8%

Sample

1st row향기굽는하얀모자
2nd row빵뜨락
3rd row독일제과
4th row주재근베이커리
5th row파리바게뜨 개봉점
ValueCountFrequency (%)
파리바게뜨 25
 
3.9%
뚜레쥬르 17
 
2.6%
베이커리 12
 
1.9%
몽블랑제 9
 
1.4%
신도림점 8
 
1.2%
구로점 8
 
1.2%
베즐리 7
 
1.1%
파리바게트 7
 
1.1%
크라운베이커리 6
 
0.9%
개봉점 6
 
0.9%
Other values (451) 540
83.7%
2024-05-11T15:59:44.157121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
191
 
5.2%
리 163
 
4.5%
점 156
 
4.3%
이 136
 
3.7%
베 89
 
2.4%
커 75
 
2.1%
레 69
 
1.9%
로 67
 
1.8%
) 65
 
1.8%
( 65
 
1.8%
Other values (402) 2573
70.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3101
85.0%
Space Separator 191
 
5.2%
Lowercase Letter 97
 
2.7%
Uppercase Letter 91
 
2.5%
Close Punctuation 65
 
1.8%
Open Punctuation 65
 
1.8%
Decimal Number 28
 
0.8%
Other Punctuation 8
 
0.2%
Dash Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 163
 
5.3%
점 156
 
5.0%
이 136
 
4.4%
베 89
 
2.9%
커 75
 
2.4%
레 69
 
2.2%
로 67
 
2.2%
빵 64
 
2.1%
구 61
 
2.0%
파 57
 
1.8%
Other values (341) 2164
69.8%
Uppercase Letter
ValueCountFrequency (%)
D 13
14.3%
N 7
 
7.7%
T 7
 
7.7%
B 7
 
7.7%
O 6
 
6.6%
M 6
 
6.6%
P 6
 
6.6%
C 5
 
5.5%
I 5
 
5.5%
A 5
 
5.5%
Other values (12) 24
26.4%
Lowercase Letter
ValueCountFrequency (%)
e 17
17.5%
a 10
10.3%
o 9
9.3%
i 8
 
8.2%
r 6
 
6.2%
n 6
 
6.2%
c 5
 
5.2%
s 5
 
5.2%
u 5
 
5.2%
k 4
 
4.1%
Other values (11) 22
22.7%
Decimal Number
ValueCountFrequency (%)
2 7
25.0%
1 5
17.9%
0 5
17.9%
3 4
14.3%
4 2
 
7.1%
6 2
 
7.1%
9 1
 
3.6%
8 1
 
3.6%
7 1
 
3.6%
Other Punctuation
ValueCountFrequency (%)
& 3
37.5%
. 2
25.0%
, 1
 
12.5%
' 1
 
12.5%
? 1
 
12.5%
Space Separator
ValueCountFrequency (%)
191
100.0%
Close Punctuation
ValueCountFrequency (%)
) 65
100.0%
Open Punctuation
ValueCountFrequency (%)
( 65
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3101
85.0%
Common 360
 
9.9%
Latin 188
 
5.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 163
 
5.3%
점 156
 
5.0%
이 136
 
4.4%
베 89
 
2.9%
커 75
 
2.4%
레 69
 
2.2%
로 67
 
2.2%
빵 64
 
2.1%
구 61
 
2.0%
파 57
 
1.8%
Other values (341) 2164
69.8%
Latin
ValueCountFrequency (%)
e 17
 
9.0%
D 13
 
6.9%
a 10
 
5.3%
o 9
 
4.8%
i 8
 
4.3%
N 7
 
3.7%
T 7
 
3.7%
B 7
 
3.7%
O 6
 
3.2%
M 6
 
3.2%
Other values (33) 98
52.1%
Common
ValueCountFrequency (%)
191
53.1%
) 65
 
18.1%
( 65
 
18.1%
2 7
 
1.9%
1 5
 
1.4%
0 5
 
1.4%
3 4
 
1.1%
- 3
 
0.8%
& 3
 
0.8%
. 2
 
0.6%
Other values (8) 10
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3101
85.0%
ASCII 548
 
15.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
191
34.9%
) 65
 
11.9%
( 65
 
11.9%
e 17
 
3.1%
D 13
 
2.4%
a 10
 
1.8%
o 9
 
1.6%
i 8
 
1.5%
2 7
 
1.3%
N 7
 
1.3%
Other values (51) 156
28.5%
Hangul
ValueCountFrequency (%)
리 163
 
5.3%
점 156
 
5.0%
이 136
 
4.4%
베 89
 
2.9%
커 75
 
2.4%
레 69
 
2.2%
로 67
 
2.2%
빵 64
 
2.1%
구 61
 
2.0%
파 57
 
1.8%
Other values (341) 2164
69.8%

최종수정일자
Date

Distinct425
Distinct (%)93.6%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
Minimum2001-09-26 00:00:00
Maximum2024-05-02 14:52:21
2024-05-11T15:59:44.408263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:59:44.663748image/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 size3.7 KiB
I
290 
U
164 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 290
63.9%
U 164
36.1%

Length

2024-05-11T15:59:44.878126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:59:45.021109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 290
63.9%
u 164
36.1%

데이터갱신일자
Date

Distinct175
Distinct (%)38.5%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:04:00
2024-05-11T15:59:45.212710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:59:45.492073image/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 size3.7 KiB
제과점영업
454 

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 454
100.0%

Length

2024-05-11T15:59:45.729130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:59:45.879104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제과점영업 454
100.0%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct269
Distinct (%)60.9%
Missing12
Missing (%)2.6%
Infinite0
Infinite (%)0.0%
Mean188639.5
Minimum184019.61
Maximum191280.66
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.1 KiB
2024-05-11T15:59:46.056554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum184019.61
5-th percentile185721.91
Q1187148.46
median189570.36
Q3190107.05
95-th percentile190897.44
Maximum191280.66
Range7261.0467
Interquartile range (IQR)2958.5884

Descriptive statistics

Standard deviation1837.1955
Coefficient of variation (CV)0.0097391874
Kurtosis-0.90941521
Mean188639.5
Median Absolute Deviation (MAD)900.87653
Skewness-0.5953081
Sum83378659
Variance3375287.1
MonotonicityNot monotonic
2024-05-11T15:59:46.323262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
190107.045415333 52
 
11.5%
189570.360930049 13
 
2.9%
190232.524534335 10
 
2.2%
190005.132500398 10
 
2.2%
190302.580042588 9
 
2.0%
190901.977946718 7
 
1.5%
189682.799434964 5
 
1.1%
188669.484398215 5
 
1.1%
189737.563067918 5
 
1.1%
187416.31554783 4
 
0.9%
Other values (259) 322
70.9%
(Missing) 12
 
2.6%
ValueCountFrequency (%)
184019.610971952 1
0.2%
184138.106722758 1
0.2%
184155.455019347 1
0.2%
184161.341705079 1
0.2%
184323.391703413 1
0.2%
184347.961198978 1
0.2%
184418.095297236 1
0.2%
184428.285365466 1
0.2%
184441.028546291 1
0.2%
184459.312860748 1
0.2%
ValueCountFrequency (%)
191280.657696914 1
0.2%
191229.896362573 2
0.4%
191209.106092001 1
0.2%
191181.184161283 2
0.4%
191173.834097241 2
0.4%
191095.900815766 1
0.2%
191061.147248344 1
0.2%
191045.678761051 1
0.2%
191020.264430044 2
0.4%
190990.955753109 1
0.2%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct269
Distinct (%)60.9%
Missing12
Missing (%)2.6%
Infinite0
Infinite (%)0.0%
Mean443949.69
Minimum441873.5
Maximum445458.34
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.1 KiB
2024-05-11T15:59:46.573974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum441873.5
5-th percentile442403.34
Q1443270.99
median443979.42
Q3444800.35
95-th percentile445174.42
Maximum445458.34
Range3584.8317
Interquartile range (IQR)1529.3594

Descriptive statistics

Standard deviation924.10934
Coefficient of variation (CV)0.0020815632
Kurtosis-1.0339597
Mean443949.69
Median Absolute Deviation (MAD)735.79985
Skewness-0.23338269
Sum1.9622576 × 108
Variance853978.07
MonotonicityNot monotonic
2024-05-11T15:59:46.814249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
445157.626366229 52
 
11.5%
444336.051330144 13
 
2.9%
444978.682746138 10
 
2.2%
445250.538868558 10
 
2.2%
445174.416440663 9
 
2.0%
442466.813410528 7
 
1.5%
444193.860003095 5
 
1.1%
444010.738380277 5
 
1.1%
443329.459368413 5
 
1.1%
443329.143116487 4
 
0.9%
Other values (259) 322
70.9%
(Missing) 12
 
2.6%
ValueCountFrequency (%)
441873.504088439 1
0.2%
441950.139212722 2
0.4%
441973.603139541 1
0.2%
442014.875009012 1
0.2%
442071.447779897 1
0.2%
442096.267720312 1
0.2%
442097.135426473 1
0.2%
442121.082800004 1
0.2%
442154.992807483 2
0.4%
442206.887162369 1
0.2%
ValueCountFrequency (%)
445458.335742134 1
 
0.2%
445381.540711693 1
 
0.2%
445369.517787461 1
 
0.2%
445262.493847028 1
 
0.2%
445250.538868558 10
 
2.2%
445207.323738651 1
 
0.2%
445174.416440663 9
 
2.0%
445157.626366229 52
11.5%
445153.61016346 1
 
0.2%
445054.282855676 1
 
0.2%

위생업태명
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
제과점영업
361 
<NA>
93 

Length

Max length5
Median length5
Mean length4.7951542
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
제과점영업 361
79.5%
<NA> 93
 
20.5%

Length

2024-05-11T15:59:47.048029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:59:47.221446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제과점영업 361
79.5%
na 93
 
20.5%

남성종사자수
Categorical

Distinct5
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
<NA>
323 
0
75 
1
36 
2
 
19
3
 
1

Length

Max length4
Median length4
Mean length3.1343612
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

1st row0
2nd row1
3rd row1
4th row2
5th row2

Common Values

ValueCountFrequency (%)
<NA> 323
71.1%
0 75
 
16.5%
1 36
 
7.9%
2 19
 
4.2%
3 1
 
0.2%

Length

2024-05-11T15:59:47.412041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:59:47.737409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 323
71.1%
0 75
 
16.5%
1 36
 
7.9%
2 19
 
4.2%
3 1
 
0.2%

여성종사자수
Categorical

Distinct5
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
<NA>
321 
0
80 
1
35 
2
 
14
3
 
4

Length

Max length4
Median length4
Mean length3.1211454
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row1
3rd row1
4th row2
5th row3

Common Values

ValueCountFrequency (%)
<NA> 321
70.7%
0 80
 
17.6%
1 35
 
7.7%
2 14
 
3.1%
3 4
 
0.9%

Length

2024-05-11T15:59:47.973663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:59:48.195037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 321
70.7%
0 80
 
17.6%
1 35
 
7.7%
2 14
 
3.1%
3 4
 
0.9%

영업장주변구분명
Categorical

Distinct4
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
<NA>
355 
기타
61 
주택가주변
 
22
아파트지역
 
16

Length

Max length5
Median length4
Mean length3.814978
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 355
78.2%
기타 61
 
13.4%
주택가주변 22
 
4.8%
아파트지역 16
 
3.5%

Length

2024-05-11T15:59:48.413906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:59:48.593897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 355
78.2%
기타 61
 
13.4%
주택가주변 22
 
4.8%
아파트지역 16
 
3.5%

등급구분명
Categorical

IMBALANCE 

Distinct5
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
<NA>
359 
자율
53 
을
 
33
기타
 
5
지도
 
4

Length

Max length4
Median length4
Mean length3.5088106
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row자율
2nd row을
3rd row을
4th row을
5th row을

Common Values

ValueCountFrequency (%)
<NA> 359
79.1%
자율 53
 
11.7%
을 33
 
7.3%
기타 5
 
1.1%
지도 4
 
0.9%

Length

2024-05-11T15:59:48.821808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:59:49.033664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 359
79.1%
자율 53
 
11.7%
을 33
 
7.3%
기타 5
 
1.1%
지도 4
 
0.9%

급수시설구분명
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
상수도전용
287 
<NA>
167 

Length

Max length5
Median length5
Mean length4.6321586
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
상수도전용 287
63.2%
<NA> 167
36.8%

Length

2024-05-11T15:59:49.215724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:59:49.386471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
상수도전용 287
63.2%
na 167
36.8%

총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
<NA>
427 
0
 
27

Length

Max length4
Median length4
Mean length3.8215859
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> 427
94.1%
0 27
 
5.9%

Length

2024-05-11T15:59:49.561248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:59:49.715822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 427
94.1%
0 27
 
5.9%

본사종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
<NA>
427 
0
 
27

Length

Max length4
Median length4
Mean length3.8215859
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> 427
94.1%
0 27
 
5.9%

Length

2024-05-11T15:59:49.914448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:59:50.115946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 427
94.1%
0 27
 
5.9%

공장사무직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
<NA>
427 
0
 
27

Length

Max length4
Median length4
Mean length3.8215859
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> 427
94.1%
0 27
 
5.9%

Length

2024-05-11T15:59:50.309924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:59:50.500114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 427
94.1%
0 27
 
5.9%

공장판매직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
<NA>
427 
0
 
27

Length

Max length4
Median length4
Mean length3.8215859
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> 427
94.1%
0 27
 
5.9%

Length

2024-05-11T15:59:50.680127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:59:50.878610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 427
94.1%
0 27
 
5.9%

공장생산직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
<NA>
427 
0
 
27

Length

Max length4
Median length4
Mean length3.8215859
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> 427
94.1%
0 27
 
5.9%

Length

2024-05-11T15:59:51.045832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:59:51.218432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 427
94.1%
0 27
 
5.9%

건물소유구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing454
Missing (%)100.0%
Memory size4.1 KiB

보증액
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
<NA>
427 
0
 
27

Length

Max length4
Median length4
Mean length3.8215859
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> 427
94.1%
0 27
 
5.9%

Length

2024-05-11T15:59:51.389332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:59:51.557119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 427
94.1%
0 27
 
5.9%

월세액
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
<NA>
427 
0
 
27

Length

Max length4
Median length4
Mean length3.8215859
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> 427
94.1%
0 27
 
5.9%

Length

2024-05-11T15:59:51.724389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:59:51.873424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 427
94.1%
0 27
 
5.9%

다중이용업소여부
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)0.6%
Missing93
Missing (%)20.5%
Memory size1.0 KiB
False
359 
True
 
2
(Missing)
93 
ValueCountFrequency (%)
False 359
79.1%
True 2
 
0.4%
(Missing) 93
 
20.5%
2024-05-11T15:59:52.023888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

MISSING  ZEROS 

Distinct252
Distinct (%)69.8%
Missing93
Missing (%)20.5%
Infinite0
Infinite (%)0.0%
Mean40.947119
Minimum0
Maximum265
Zeros18
Zeros (%)4.0%
Negative0
Negative (%)0.0%
Memory size4.1 KiB
2024-05-11T15:59:52.635135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q120.25
median31.44
Q352.8
95-th percentile105.75
Maximum265
Range265
Interquartile range (IQR)32.55

Descriptive statistics

Standard deviation35.433166
Coefficient of variation (CV)0.86533966
Kurtosis9.6462463
Mean40.947119
Median Absolute Deviation (MAD)15.38
Skewness2.420597
Sum14781.91
Variance1255.5093
MonotonicityNot monotonic
2024-05-11T15:59:52.850662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 18
 
4.0%
6.6 9
 
2.0%
26.4 8
 
1.8%
33.0 7
 
1.5%
10.0 6
 
1.3%
49.5 5
 
1.1%
30.0 5
 
1.1%
20.0 4
 
0.9%
12.0 4
 
0.9%
57.42 4
 
0.9%
Other values (242) 291
64.1%
(Missing) 93
 
20.5%
ValueCountFrequency (%)
0.0 18
4.0%
3.0 3
 
0.7%
3.2 1
 
0.2%
3.3 1
 
0.2%
3.4 1
 
0.2%
4.0 2
 
0.4%
4.9 1
 
0.2%
6.0 1
 
0.2%
6.6 9
2.0%
7.8 1
 
0.2%
ValueCountFrequency (%)
265.0 1
0.2%
264.1 1
0.2%
190.74 1
0.2%
167.05 1
0.2%
156.75 1
0.2%
150.66 1
0.2%
141.05 1
0.2%
138.5 1
0.2%
135.44 1
0.2%
134.2 1
0.2%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing454
Missing (%)100.0%
Memory size4.1 KiB

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing454
Missing (%)100.0%
Memory size4.1 KiB

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing454
Missing (%)100.0%
Memory size4.1 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
031600003160000-121-1899-0802919991027<NA>3폐업2폐업20070404<NA><NA><NA>022611899552.0152831서울특별시 구로구 고척동 195-18번지<NA><NA>향기굽는하얀모자2002-01-18 00:00:00I2018-08-31 23:59:59.0제과점영업187389.68009444893.329884제과점영업00기타자율상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N52.0<NA><NA><NA>
131600003160000-121-1977-0633919771011<NA>3폐업2폐업20100820<NA><NA><NA>022613542930.06152836서울특별시 구로구 고척동 269-18번지<NA><NA>빵뜨락2004-11-29 00:00:00I2018-08-31 23:59:59.0제과점영업186733.854264444341.801389제과점영업11기타을상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N30.06<NA><NA><NA>
231600003160000-121-1980-0633119800519<NA>3폐업2폐업20070118<NA><NA><NA>02 864782724.32152855서울특별시 구로구 구로동 416-25번지<NA><NA>독일제과2002-01-29 00:00:00I2018-08-31 23:59:59.0제과점영업189618.477871443512.976721제과점영업11기타을상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N24.32<NA><NA><NA>
331600003160000-121-1981-0636419810430<NA>3폐업2폐업20120126<NA><NA><NA>02 686895693.55152809서울특별시 구로구 개봉동 202-18번지<NA><NA>주재근베이커리2012-01-26 11:51:03I2018-08-31 23:59:59.0제과점영업187430.535014443546.109413제과점영업22기타을상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N93.55<NA><NA><NA>
431600003160000-121-1981-0636719811222<NA>1영업/정상1영업<NA><NA><NA><NA><NA>130.86152816서울특별시 구로구 개봉동 403-53번지서울특별시 구로구 개봉로 63 (개봉동)8347파리바게뜨 개봉점2020-06-03 10:27:56U2020-06-05 02:40:00.0제과점영업187166.338836443250.627612제과점영업23기타을상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N130.86<NA><NA><NA>
531600003160000-121-1981-0638419811229<NA>3폐업2폐업20111221<NA><NA><NA>022683611520.15152906서울특별시 구로구 온수동 61-1번지<NA><NA>빵굽는집2009-10-19 16:47:03I2018-08-31 23:59:59.0제과점영업184019.610972443333.607829제과점영업11기타을상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N20.15<NA><NA><NA>
631600003160000-121-1982-0637619820521<NA>3폐업2폐업20110328<NA><NA><NA>02 864735319.67152858서울특별시 구로구 구로동 511-6번지<NA><NA>샤르망빵집2011-03-28 11:36:12I2018-08-31 23:59:59.0제과점영업189733.527517443944.094739제과점영업11기타을상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N19.67<NA><NA><NA>
731600003160000-121-1983-0634219831206<NA>3폐업2폐업20110328<NA><NA><NA>02 682596837.8152805서울특별시 구로구 개봉동 153-124번지<NA><NA>바게뜨과자점2011-03-28 11:40:04I2018-08-31 23:59:59.0제과점영업187240.532966444028.050365제과점영업12기타을상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N37.8<NA><NA><NA>
831600003160000-121-1983-0637119831203<NA>3폐업2폐업20110415<NA><NA><NA>022614454535.7152814서울특별시 구로구 개봉동 330-24번지<NA><NA>아로마뜨베이커리2004-02-26 00:00:00I2018-08-31 23:59:59.0제과점영업187049.318722443263.502375제과점영업11기타을상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N35.7<NA><NA><NA>
931600003160000-121-1983-0641519830618<NA>3폐업2폐업20110328<NA><NA><NA>022612771430.62152836서울특별시 구로구 고척동 271-40번지<NA><NA>독일제과2011-03-28 11:45:30I2018-08-31 23:59:59.0제과점영업186849.626584444364.505628제과점영업11기타지도상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N30.62<NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
44431600003160000-121-2023-000142023-09-07<NA>1영업/정상1영업<NA><NA><NA><NA><NA>30.0152-880서울특별시 구로구 구로동 1129-11서울특별시 구로구 디지털로32가길 60, 1층 102호 (구로동)83939-D (nine-D)2023-09-07 10:30:26I2022-12-09 00:09:00.0제과점영업190863.545616442096.26772<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
44531600003160000-121-2023-000152023-09-07<NA>1영업/정상1영업<NA><NA><NA><NA><NA>47.3152-838서울특별시 구로구 구로동 8-16서울특별시 구로구 새말로 85, 1층 101호 (구로동)8288박종근 제빵소2023-09-07 10:45:59I2022-12-09 00:09:00.0제과점영업190146.813086444800.35287<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
44631600003160000-121-2023-000162023-09-13<NA>1영업/정상1영업<NA><NA><NA><NA><NA>46.0152-883서울특별시 구로구 궁동 202-4서울특별시 구로구 부일로15가길 3, 나동 1층 103호 (궁동)8256셈앤베이크2023-09-13 13:23:33I2022-12-08 23:05:00.0제과점영업185244.889804443488.101816<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
44731600003160000-121-2023-000172023-09-21<NA>1영업/정상1영업<NA><NA><NA><NA><NA>15.5152-880서울특별시 구로구 구로동 1204 대림역서울특별시 구로구 도림천로 351, 대림역 233-013호 (구로동)8304대림쌀빵2023-09-21 16:27:57I2022-12-08 22:03:00.0제과점영업190626.984904443475.220703<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
44831600003160000-121-2023-000182023-10-25<NA>1영업/정상1영업<NA><NA><NA><NA><NA>52.5152-887서울특별시 구로구 신도림동 337 신도림1차푸르지오서울특별시 구로구 경인로 661, 신도림1차푸르지오 1층 111호 (신도림동)8208뚜레쥬르 신도림역점2023-10-25 09:28:46I2022-10-30 22:07:00.0제과점영업190005.1325445250.538869<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
44931600003160000-121-2024-000012024-01-23<NA>1영업/정상1영업<NA><NA><NA><NA><NA>41.86152-803서울특별시 구로구 개봉동 60-71 덕산상가빌딩서울특별시 구로구 고척로 92, 덕산상가빌딩 1층 (개봉동)8267마마스 스토리2024-01-23 11:29:24I2023-11-30 22:05:00.0제과점영업186168.49325444279.947924<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
45031600003160000-121-2024-000022024-02-05<NA>3폐업2폐업2024-02-15<NA><NA><NA><NA>0.0152-706서울특별시 구로구 신도림동 692 디큐브시티서울특별시 구로구 경인로 662, 지하2층 (신도림동, 디큐브시티)8209푸링2024-02-16 04:15:09U2023-12-01 23:08:00.0제과점영업190107.045415445157.626366<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
45131600003160000-121-2024-000032024-03-07<NA>3폐업2폐업2024-03-14<NA><NA><NA><NA>0.0152-706서울특별시 구로구 신도림동 692 디큐브시티서울특별시 구로구 경인로 662, 지하2층 (신도림동, 디큐브시티)8209쥬오베이커리2024-03-15 04:15:09U2023-12-02 23:07:00.0제과점영업190107.045415445157.626366<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
45231600003160000-121-2024-000042024-03-26<NA>3폐업2폐업2024-04-04<NA><NA><NA><NA>0.0152-706서울특별시 구로구 신도림동 692 디큐브시티서울특별시 구로구 경인로 662, 지하 2층 (신도림동, 디큐브시티)8209당고집2024-04-05 04:15:08U2023-12-04 00:07:00.0제과점영업190107.045415445157.626366<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
45331600003160000-121-2024-000052024-05-02<NA>1영업/정상1영업<NA><NA><NA><NA><NA>0.0152-706서울특별시 구로구 신도림동 692 디큐브시티서울특별시 구로구 경인로 662 (신도림동, 디큐브시티)8209(주)브로트아트2024-05-02 14:52:21I2023-12-05 00:04:00.0제과점영업190107.045415445157.626366<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>