Overview

Dataset statistics

Number of variables44
Number of observations743
Missing cells7953
Missing cells (%)24.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory273.7 KiB
Average record size in memory377.2 B

Variable types

Categorical19
Text6
DateTime4
Unsupported7
Numeric7
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
Author마포구
URLhttps://data.seoul.go.kr/dataList/OA-18415/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
업태구분명 has constant value ""Constant
영업장주변구분명 is highly imbalanced (72.3%)Imbalance
등급구분명 is highly imbalanced (74.4%)Imbalance
총인원 is highly imbalanced (62.9%)Imbalance
본사종업원수 is highly imbalanced (61.9%)Imbalance
공장사무직종업원수 is highly imbalanced (61.9%)Imbalance
공장판매직종업원수 is highly imbalanced (61.9%)Imbalance
공장생산직종업원수 is highly imbalanced (61.9%)Imbalance
보증액 is highly imbalanced (61.9%)Imbalance
월세액 is highly imbalanced (61.9%)Imbalance
다중이용업소여부 is highly imbalanced (96.3%)Imbalance
전통업소지정번호 is highly imbalanced (98.5%)Imbalance
인허가취소일자 has 743 (100.0%) missing valuesMissing
폐업일자 has 291 (39.2%) missing valuesMissing
휴업시작일자 has 743 (100.0%) missing valuesMissing
휴업종료일자 has 743 (100.0%) missing valuesMissing
재개업일자 has 743 (100.0%) missing valuesMissing
전화번호 has 550 (74.0%) missing valuesMissing
도로명주소 has 115 (15.5%) missing valuesMissing
도로명우편번호 has 118 (15.9%) missing valuesMissing
좌표정보(X) has 20 (2.7%) missing valuesMissing
좌표정보(Y) has 20 (2.7%) missing valuesMissing
남성종사자수 has 575 (77.4%) missing valuesMissing
여성종사자수 has 570 (76.7%) missing valuesMissing
건물소유구분명 has 743 (100.0%) missing valuesMissing
다중이용업소여부 has 237 (31.9%) missing valuesMissing
시설총규모 has 237 (31.9%) missing valuesMissing
전통업소주된음식 has 743 (100.0%) missing valuesMissing
홈페이지 has 743 (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
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
남성종사자수 has 97 (13.1%) zerosZeros
여성종사자수 has 92 (12.4%) zerosZeros

Reproduction

Analysis started2024-04-17 20:10:16.110863
Analysis finished2024-04-17 20:10:16.922729
Duration0.81 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
3130000
743 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3130000
2nd row3130000
3rd row3130000
4th row3130000
5th row3130000

Common Values

ValueCountFrequency (%)
3130000 743
100.0%

Length

2024-04-18T05:10:16.970902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T05:10:17.040687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3130000 743
100.0%

관리번호
Text

UNIQUE 

Distinct743
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
2024-04-18T05:10:17.172715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters16346
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

Unique743 ?
Unique (%)100.0%

Sample

1st row3130000-121-1977-00001
2nd row3130000-121-1979-00001
3rd row3130000-121-1979-00002
4th row3130000-121-1981-00001
5th row3130000-121-1982-00001
ValueCountFrequency (%)
3130000-121-1977-00001 1
 
0.1%
3130000-121-2019-00016 1
 
0.1%
3130000-121-2019-00027 1
 
0.1%
3130000-121-2019-00008 1
 
0.1%
3130000-121-2019-00009 1
 
0.1%
3130000-121-2019-00010 1
 
0.1%
3130000-121-2019-00011 1
 
0.1%
3130000-121-2019-00012 1
 
0.1%
3130000-121-2019-00013 1
 
0.1%
3130000-121-2019-00014 1
 
0.1%
Other values (733) 733
98.7%
2024-04-18T05:10:17.434137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 6403
39.2%
1 2987
18.3%
- 2229
 
13.6%
2 1954
 
12.0%
3 1754
 
10.7%
9 223
 
1.4%
4 209
 
1.3%
5 179
 
1.1%
8 161
 
1.0%
6 124
 
0.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 14117
86.4%
Dash Punctuation 2229
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 6403
45.4%
1 2987
21.2%
2 1954
 
13.8%
3 1754
 
12.4%
9 223
 
1.6%
4 209
 
1.5%
5 179
 
1.3%
8 161
 
1.1%
6 124
 
0.9%
7 123
 
0.9%
Dash Punctuation
ValueCountFrequency (%)
- 2229
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 16346
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 6403
39.2%
1 2987
18.3%
- 2229
 
13.6%
2 1954
 
12.0%
3 1754
 
10.7%
9 223
 
1.4%
4 209
 
1.3%
5 179
 
1.1%
8 161
 
1.0%
6 124
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 16346
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 6403
39.2%
1 2987
18.3%
- 2229
 
13.6%
2 1954
 
12.0%
3 1754
 
10.7%
9 223
 
1.4%
4 209
 
1.3%
5 179
 
1.1%
8 161
 
1.0%
6 124
 
0.8%

인허가일자
Date

Distinct671
Distinct (%)90.3%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
Minimum1977-12-19 00:00:00
Maximum2024-04-12 00:00:00
2024-04-18T05:10:17.542833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T05:10:17.644377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing743
Missing (%)100.0%
Memory size6.7 KiB

영업상태코드
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
3
452 
1
291 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 452
60.8%
1 291
39.2%

Length

2024-04-18T05:10:17.742437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T05:10:17.816951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 452
60.8%
1 291
39.2%

영업상태명
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
폐업
452 
영업/정상
291 

Length

Max length5
Median length2
Mean length3.1749664
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 452
60.8%
영업/정상 291
39.2%

Length

2024-04-18T05:10:17.894354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T05:10:17.968693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 452
60.8%
영업/정상 291
39.2%

상세영업상태코드
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
2
452 
1
291 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 452
60.8%
1 291
39.2%

Length

2024-04-18T05:10:18.052704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T05:10:18.127393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 452
60.8%
1 291
39.2%

상세영업상태명
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
폐업
452 
영업
291 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 452
60.8%
영업 291
39.2%

Length

2024-04-18T05:10:18.210751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T05:10:18.296489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 452
60.8%
영업 291
39.2%

폐업일자
Date

MISSING 

Distinct402
Distinct (%)88.9%
Missing291
Missing (%)39.2%
Memory size5.9 KiB
Minimum2005-11-29 00:00:00
Maximum2024-03-29 00:00:00
2024-04-18T05:10:18.388374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T05:10:18.485399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing743
Missing (%)100.0%
Memory size6.7 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing743
Missing (%)100.0%
Memory size6.7 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing743
Missing (%)100.0%
Memory size6.7 KiB

전화번호
Text

MISSING 

Distinct190
Distinct (%)98.4%
Missing550
Missing (%)74.0%
Memory size5.9 KiB
2024-04-18T05:10:18.706583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length9.7772021
Min length2

Characters and Unicode

Total characters1887
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

Unique188 ?
Unique (%)97.4%

Sample

1st row02 3341387
2nd row02 3349430
3rd row02 3629117
4th row0207152808
5th row02 3363020
ValueCountFrequency (%)
02 110
31.2%
337 4
 
1.1%
070 4
 
1.1%
07041598787 3
 
0.9%
324 3
 
0.9%
309 3
 
0.9%
336 3
 
0.9%
7170085 2
 
0.6%
333 2
 
0.6%
719 2
 
0.6%
Other values (208) 216
61.4%
2024-04-18T05:10:19.017380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 313
16.6%
3 287
15.2%
2 271
14.4%
196
10.4%
7 171
9.1%
1 148
7.8%
4 119
 
6.3%
8 116
 
6.1%
6 107
 
5.7%
5 91
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1691
89.6%
Space Separator 196
 
10.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 313
18.5%
3 287
17.0%
2 271
16.0%
7 171
10.1%
1 148
8.8%
4 119
 
7.0%
8 116
 
6.9%
6 107
 
6.3%
5 91
 
5.4%
9 68
 
4.0%
Space Separator
ValueCountFrequency (%)
196
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1887
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 313
16.6%
3 287
15.2%
2 271
14.4%
196
10.4%
7 171
9.1%
1 148
7.8%
4 119
 
6.3%
8 116
 
6.1%
6 107
 
5.7%
5 91
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1887
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 313
16.6%
3 287
15.2%
2 271
14.4%
196
10.4%
7 171
9.1%
1 148
7.8%
4 119
 
6.3%
8 116
 
6.1%
6 107
 
5.7%
5 91
 
4.8%

소재지면적
Real number (ℝ)

Distinct571
Distinct (%)77.4%
Missing5
Missing (%)0.7%
Infinite0
Infinite (%)0.0%
Mean55.850718
Minimum1.7
Maximum608.57
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.7 KiB
2024-04-18T05:10:19.134066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.7
5-th percentile12
Q126
median40
Q366.11
95-th percentile140.97
Maximum608.57
Range606.87
Interquartile range (IQR)40.11

Descriptive statistics

Standard deviation55.247199
Coefficient of variation (CV)0.98919407
Kurtosis26.286589
Mean55.850718
Median Absolute Deviation (MAD)17.425
Skewness4.1341124
Sum41217.83
Variance3052.253
MonotonicityNot monotonic
2024-04-18T05:10:19.237161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
33.0 10
 
1.3%
30.0 9
 
1.2%
20.0 9
 
1.2%
32.0 8
 
1.1%
25.0 7
 
0.9%
27.0 7
 
0.9%
26.0 7
 
0.9%
35.0 7
 
0.9%
66.0 5
 
0.7%
23.1 5
 
0.7%
Other values (561) 664
89.4%
ValueCountFrequency (%)
1.7 1
 
0.1%
2.03 1
 
0.1%
3.3 1
 
0.1%
5.0 2
 
0.3%
5.3 1
 
0.1%
6.6 5
0.7%
7.0 1
 
0.1%
7.5 1
 
0.1%
8.0 1
 
0.1%
8.2 1
 
0.1%
ValueCountFrequency (%)
608.57 1
0.1%
495.01 1
0.1%
414.75 1
0.1%
379.1 1
0.1%
354.54 1
0.1%
341.16 1
0.1%
328.56 1
0.1%
294.21 1
0.1%
293.22 1
0.1%
274.38 1
0.1%

소재지우편번호
Text

Distinct168
Distinct (%)22.8%
Missing7
Missing (%)0.9%
Memory size5.9 KiB
2024-04-18T05:10:19.438841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.201087
Min length6

Characters and Unicode

Total characters4564
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

Unique51 ?
Unique (%)6.9%

Sample

1st row121823
2nd row121822
3rd row121862
4th row121876
5th row121897
ValueCountFrequency (%)
121865 28
 
3.8%
121837 28
 
3.8%
121805 25
 
3.4%
121-865 23
 
3.1%
121807 21
 
2.9%
121820 19
 
2.6%
121836 18
 
2.4%
121829 17
 
2.3%
121816 12
 
1.6%
121867 12
 
1.6%
Other values (158) 533
72.4%
2024-04-18T05:10:19.760656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1614
35.4%
2 904
19.8%
8 779
17.1%
0 216
 
4.7%
6 184
 
4.0%
9 175
 
3.8%
5 154
 
3.4%
7 153
 
3.4%
- 148
 
3.2%
3 140
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4416
96.8%
Dash Punctuation 148
 
3.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1614
36.5%
2 904
20.5%
8 779
17.6%
0 216
 
4.9%
6 184
 
4.2%
9 175
 
4.0%
5 154
 
3.5%
7 153
 
3.5%
3 140
 
3.2%
4 97
 
2.2%
Dash Punctuation
ValueCountFrequency (%)
- 148
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4564
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 1614
35.4%
2 904
19.8%
8 779
17.1%
0 216
 
4.7%
6 184
 
4.0%
9 175
 
3.8%
5 154
 
3.4%
7 153
 
3.4%
- 148
 
3.2%
3 140
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4564
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1614
35.4%
2 904
19.8%
8 779
17.1%
0 216
 
4.7%
6 184
 
4.0%
9 175
 
3.8%
5 154
 
3.4%
7 153
 
3.4%
- 148
 
3.2%
3 140
 
3.1%

지번주소
Text

Distinct698
Distinct (%)94.8%
Missing7
Missing (%)0.9%
Memory size5.9 KiB
2024-04-18T05:10:19.952996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length46
Mean length24.982337
Min length16

Characters and Unicode

Total characters18387
Distinct characters276
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

Unique667 ?
Unique (%)90.6%

Sample

1st row서울특별시 마포구 망원동 423-1번지
2nd row서울특별시 마포구 망원동 411-41번지
3rd row서울특별시 마포구 아현동 617-49번지
4th row서울특별시 마포구 용강동 122-1번지
5th row서울특별시 마포구 합정동 373-17번지
ValueCountFrequency (%)
서울특별시 736
21.0%
마포구 736
21.0%
서교동 113
 
3.2%
연남동 100
 
2.8%
1층 88
 
2.5%
망원동 83
 
2.4%
동교동 51
 
1.5%
성산동 49
 
1.4%
합정동 46
 
1.3%
1층일부 42
 
1.2%
Other values (926) 1465
41.7%
2024-04-18T05:10:20.277820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3247
 
17.7%
서 869
 
4.7%
동 822
 
4.5%
1 809
 
4.4%
마 769
 
4.2%
포 762
 
4.1%
구 747
 
4.1%
시 741
 
4.0%
울 737
 
4.0%
별 736
 
4.0%
Other values (266) 8148
44.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10787
58.7%
Decimal Number 3608
 
19.6%
Space Separator 3247
 
17.7%
Dash Punctuation 592
 
3.2%
Uppercase Letter 70
 
0.4%
Lowercase Letter 23
 
0.1%
Other Punctuation 20
 
0.1%
Close Punctuation 19
 
0.1%
Open Punctuation 19
 
0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 869
 
8.1%
동 822
 
7.6%
마 769
 
7.1%
포 762
 
7.1%
구 747
 
6.9%
시 741
 
6.9%
울 737
 
6.8%
별 736
 
6.8%
특 736
 
6.8%
지 459
 
4.3%
Other values (221) 3409
31.6%
Uppercase Letter
ValueCountFrequency (%)
B 13
18.6%
K 10
14.3%
S 9
12.9%
C 7
10.0%
D 6
8.6%
A 4
 
5.7%
I 3
 
4.3%
E 3
 
4.3%
M 3
 
4.3%
H 2
 
2.9%
Other values (7) 10
14.3%
Decimal Number
ValueCountFrequency (%)
1 809
22.4%
2 479
13.3%
3 449
12.4%
4 417
11.6%
5 291
 
8.1%
0 283
 
7.8%
7 241
 
6.7%
6 236
 
6.5%
8 220
 
6.1%
9 183
 
5.1%
Lowercase Letter
ValueCountFrequency (%)
u 4
17.4%
s 4
17.4%
e 4
17.4%
a 3
13.0%
h 3
13.0%
o 2
8.7%
y 1
 
4.3%
t 1
 
4.3%
i 1
 
4.3%
Other Punctuation
ValueCountFrequency (%)
, 16
80.0%
@ 2
 
10.0%
. 1
 
5.0%
: 1
 
5.0%
Space Separator
ValueCountFrequency (%)
3247
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 592
100.0%
Close Punctuation
ValueCountFrequency (%)
) 19
100.0%
Open Punctuation
ValueCountFrequency (%)
( 19
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10787
58.7%
Common 7507
40.8%
Latin 93
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 869
 
8.1%
동 822
 
7.6%
마 769
 
7.1%
포 762
 
7.1%
구 747
 
6.9%
시 741
 
6.9%
울 737
 
6.8%
별 736
 
6.8%
특 736
 
6.8%
지 459
 
4.3%
Other values (221) 3409
31.6%
Latin
ValueCountFrequency (%)
B 13
14.0%
K 10
 
10.8%
S 9
 
9.7%
C 7
 
7.5%
D 6
 
6.5%
u 4
 
4.3%
s 4
 
4.3%
A 4
 
4.3%
e 4
 
4.3%
a 3
 
3.2%
Other values (16) 29
31.2%
Common
ValueCountFrequency (%)
3247
43.3%
1 809
 
10.8%
- 592
 
7.9%
2 479
 
6.4%
3 449
 
6.0%
4 417
 
5.6%
5 291
 
3.9%
0 283
 
3.8%
7 241
 
3.2%
6 236
 
3.1%
Other values (9) 463
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10787
58.7%
ASCII 7600
41.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3247
42.7%
1 809
 
10.6%
- 592
 
7.8%
2 479
 
6.3%
3 449
 
5.9%
4 417
 
5.5%
5 291
 
3.8%
0 283
 
3.7%
7 241
 
3.2%
6 236
 
3.1%
Other values (35) 556
 
7.3%
Hangul
ValueCountFrequency (%)
서 869
 
8.1%
동 822
 
7.6%
마 769
 
7.1%
포 762
 
7.1%
구 747
 
6.9%
시 741
 
6.9%
울 737
 
6.8%
별 736
 
6.8%
특 736
 
6.8%
지 459
 
4.3%
Other values (221) 3409
31.6%

도로명주소
Text

MISSING 

Distinct615
Distinct (%)97.9%
Missing115
Missing (%)15.5%
Memory size5.9 KiB
2024-04-18T05:10:20.525745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length62
Median length52
Mean length34.404459
Min length21

Characters and Unicode

Total characters21606
Distinct characters319
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

Unique603 ?
Unique (%)96.0%

Sample

1st row서울특별시 마포구 포은로 120 (망원동, 1층 일부)
2nd row서울특별시 마포구 마포대로 187 (아현동)
3rd row서울특별시 마포구 토정로 282 (용강동)
4th row서울특별시 마포구 월드컵북로 184, 1층 일부, 지하1층 일부 (성산동)
5th row서울특별시 마포구 만리재로7길 23, 1층 (공덕동)
ValueCountFrequency (%)
서울특별시 628
 
14.7%
마포구 628
 
14.7%
1층 289
 
6.8%
연남동 98
 
2.3%
서교동 95
 
2.2%
망원동 60
 
1.4%
1층일부 56
 
1.3%
2층 50
 
1.2%
동교동 46
 
1.1%
합정동 38
 
0.9%
Other values (867) 2286
53.5%
2024-04-18T05:10:20.870625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3649
 
16.9%
1 1250
 
5.8%
동 794
 
3.7%
서 756
 
3.5%
, 756
 
3.5%
마 697
 
3.2%
포 691
 
3.2%
울 645
 
3.0%
( 642
 
3.0%
) 642
 
3.0%
Other values (309) 11084
51.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12256
56.7%
Space Separator 3649
 
16.9%
Decimal Number 3405
 
15.8%
Other Punctuation 762
 
3.5%
Open Punctuation 642
 
3.0%
Close Punctuation 642
 
3.0%
Uppercase Letter 115
 
0.5%
Dash Punctuation 109
 
0.5%
Lowercase Letter 22
 
0.1%
Math Symbol 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 794
 
6.5%
서 756
 
6.2%
마 697
 
5.7%
포 691
 
5.6%
울 645
 
5.3%
구 639
 
5.2%
시 637
 
5.2%
특 628
 
5.1%
별 628
 
5.1%
로 614
 
5.0%
Other values (257) 5527
45.1%
Uppercase Letter
ValueCountFrequency (%)
B 39
33.9%
K 12
 
10.4%
C 9
 
7.8%
S 9
 
7.8%
D 6
 
5.2%
G 4
 
3.5%
I 4
 
3.5%
E 4
 
3.5%
T 3
 
2.6%
M 3
 
2.6%
Other values (12) 22
19.1%
Decimal Number
ValueCountFrequency (%)
1 1250
36.7%
2 549
16.1%
0 311
 
9.1%
3 279
 
8.2%
4 228
 
6.7%
5 184
 
5.4%
6 162
 
4.8%
9 161
 
4.7%
7 152
 
4.5%
8 129
 
3.8%
Lowercase Letter
ValueCountFrequency (%)
s 4
18.2%
u 4
18.2%
e 3
13.6%
a 3
13.6%
h 3
13.6%
o 2
9.1%
y 1
 
4.5%
t 1
 
4.5%
i 1
 
4.5%
Other Punctuation
ValueCountFrequency (%)
, 756
99.2%
? 2
 
0.3%
: 1
 
0.1%
@ 1
 
0.1%
. 1
 
0.1%
& 1
 
0.1%
Space Separator
ValueCountFrequency (%)
3649
100.0%
Open Punctuation
ValueCountFrequency (%)
( 642
100.0%
Close Punctuation
ValueCountFrequency (%)
) 642
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 109
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12256
56.7%
Common 9213
42.6%
Latin 137
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 794
 
6.5%
서 756
 
6.2%
마 697
 
5.7%
포 691
 
5.6%
울 645
 
5.3%
구 639
 
5.2%
시 637
 
5.2%
특 628
 
5.1%
별 628
 
5.1%
로 614
 
5.0%
Other values (257) 5527
45.1%
Latin
ValueCountFrequency (%)
B 39
28.5%
K 12
 
8.8%
C 9
 
6.6%
S 9
 
6.6%
D 6
 
4.4%
G 4
 
2.9%
I 4
 
2.9%
s 4
 
2.9%
u 4
 
2.9%
E 4
 
2.9%
Other values (21) 42
30.7%
Common
ValueCountFrequency (%)
3649
39.6%
1 1250
 
13.6%
, 756
 
8.2%
( 642
 
7.0%
) 642
 
7.0%
2 549
 
6.0%
0 311
 
3.4%
3 279
 
3.0%
4 228
 
2.5%
5 184
 
2.0%
Other values (11) 723
 
7.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12256
56.7%
ASCII 9350
43.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3649
39.0%
1 1250
 
13.4%
, 756
 
8.1%
( 642
 
6.9%
) 642
 
6.9%
2 549
 
5.9%
0 311
 
3.3%
3 279
 
3.0%
4 228
 
2.4%
5 184
 
2.0%
Other values (42) 860
 
9.2%
Hangul
ValueCountFrequency (%)
동 794
 
6.5%
서 756
 
6.2%
마 697
 
5.7%
포 691
 
5.6%
울 645
 
5.3%
구 639
 
5.2%
시 637
 
5.2%
특 628
 
5.1%
별 628
 
5.1%
로 614
 
5.0%
Other values (257) 5527
45.1%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct182
Distinct (%)29.1%
Missing118
Missing (%)15.9%
Infinite0
Infinite (%)0.0%
Mean4037.8016
Minimum3901
Maximum4209
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.7 KiB
2024-04-18T05:10:20.978139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3901
5-th percentile3930
Q13982
median4036
Q34074
95-th percentile4172
Maximum4209
Range308
Interquartile range (IQR)92

Descriptive statistics

Standard deviation70.971141
Coefficient of variation (CV)0.017576679
Kurtosis-0.41280948
Mean4037.8016
Median Absolute Deviation (MAD)52
Skewness0.48181944
Sum2523626
Variance5036.9029
MonotonicityNot monotonic
2024-04-18T05:10:21.081171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3980 19
 
2.6%
4055 19
 
2.6%
3982 17
 
2.3%
4049 15
 
2.0%
3984 11
 
1.5%
4053 11
 
1.5%
4057 11
 
1.5%
3925 10
 
1.3%
4036 10
 
1.3%
3930 10
 
1.3%
Other values (172) 492
66.2%
(Missing) 118
 
15.9%
ValueCountFrequency (%)
3901 2
 
0.3%
3902 1
 
0.1%
3905 3
 
0.4%
3907 1
 
0.1%
3909 1
 
0.1%
3918 2
 
0.3%
3921 1
 
0.1%
3922 1
 
0.1%
3924 1
 
0.1%
3925 10
1.3%
ValueCountFrequency (%)
4209 3
0.4%
4208 1
 
0.1%
4207 1
 
0.1%
4198 1
 
0.1%
4196 7
0.9%
4195 3
0.4%
4194 2
 
0.3%
4189 1
 
0.1%
4185 1
 
0.1%
4183 1
 
0.1%

사업장명
Text

Distinct690
Distinct (%)92.9%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
2024-04-18T05:10:21.330323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length28
Mean length8.4279946
Min length1

Characters and Unicode

Total characters6262
Distinct characters529
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique650 ?
Unique (%)87.5%

Sample

1st row파리바게트망원점
2nd row르네상스과자점
3rd row파리바게트 애오개점
4th row르네상스과자점
5th row뚜레쥬르합정사거리점
ValueCountFrequency (%)
뚜레쥬르 15
 
1.5%
파리바게트 10
 
1.0%
베이커리 10
 
1.0%
파리바게뜨 9
 
0.9%
크라운베이커리 5
 
0.5%
bakery 5
 
0.5%
합정점 5
 
0.5%
연남점 5
 
0.5%
노티드 5
 
0.5%
브레댄코 4
 
0.4%
Other values (838) 942
92.8%
2024-04-18T05:10:21.987506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
274
 
4.4%
리 206
 
3.3%
이 201
 
3.2%
점 179
 
2.9%
( 162
 
2.6%
) 162
 
2.6%
베 105
 
1.7%
e 99
 
1.6%
스 96
 
1.5%
레 90
 
1.4%
Other values (519) 4688
74.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4377
69.9%
Lowercase Letter 695
 
11.1%
Uppercase Letter 531
 
8.5%
Space Separator 274
 
4.4%
Open Punctuation 162
 
2.6%
Close Punctuation 162
 
2.6%
Decimal Number 34
 
0.5%
Other Punctuation 22
 
0.4%
Dash Punctuation 4
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 206
 
4.7%
이 201
 
4.6%
점 179
 
4.1%
베 105
 
2.4%
스 96
 
2.2%
레 90
 
2.1%
커 77
 
1.8%
마 76
 
1.7%
크 71
 
1.6%
빵 69
 
1.6%
Other values (448) 3207
73.3%
Lowercase Letter
ValueCountFrequency (%)
e 99
14.2%
a 83
11.9%
r 58
 
8.3%
i 52
 
7.5%
o 50
 
7.2%
n 43
 
6.2%
l 39
 
5.6%
t 32
 
4.6%
s 26
 
3.7%
u 26
 
3.7%
Other values (16) 187
26.9%
Uppercase Letter
ValueCountFrequency (%)
O 43
 
8.1%
E 42
 
7.9%
A 42
 
7.9%
C 35
 
6.6%
D 32
 
6.0%
M 30
 
5.6%
B 29
 
5.5%
T 29
 
5.5%
R 29
 
5.5%
L 29
 
5.5%
Other values (16) 191
36.0%
Decimal Number
ValueCountFrequency (%)
1 9
26.5%
2 9
26.5%
3 6
17.6%
5 3
 
8.8%
8 2
 
5.9%
6 2
 
5.9%
0 1
 
2.9%
9 1
 
2.9%
7 1
 
2.9%
Other Punctuation
ValueCountFrequency (%)
& 7
31.8%
' 4
18.2%
? 4
18.2%
, 4
18.2%
. 3
13.6%
Space Separator
ValueCountFrequency (%)
274
100.0%
Open Punctuation
ValueCountFrequency (%)
( 162
100.0%
Close Punctuation
ValueCountFrequency (%)
) 162
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Math Symbol
ValueCountFrequency (%)
× 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4368
69.8%
Latin 1226
 
19.6%
Common 659
 
10.5%
Han 9
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 206
 
4.7%
이 201
 
4.6%
점 179
 
4.1%
베 105
 
2.4%
스 96
 
2.2%
레 90
 
2.1%
커 77
 
1.8%
마 76
 
1.7%
크 71
 
1.6%
빵 69
 
1.6%
Other values (443) 3198
73.2%
Latin
ValueCountFrequency (%)
e 99
 
8.1%
a 83
 
6.8%
r 58
 
4.7%
i 52
 
4.2%
o 50
 
4.1%
n 43
 
3.5%
O 43
 
3.5%
E 42
 
3.4%
A 42
 
3.4%
l 39
 
3.2%
Other values (42) 675
55.1%
Common
ValueCountFrequency (%)
274
41.6%
( 162
24.6%
) 162
24.6%
1 9
 
1.4%
2 9
 
1.4%
& 7
 
1.1%
3 6
 
0.9%
- 4
 
0.6%
' 4
 
0.6%
? 4
 
0.6%
Other values (9) 18
 
2.7%
Han
ValueCountFrequency (%)
美 2
22.2%
味 2
22.2%
米 2
22.2%
日 2
22.2%
加 1
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4368
69.8%
ASCII 1884
30.1%
CJK 9
 
0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
274
 
14.5%
( 162
 
8.6%
) 162
 
8.6%
e 99
 
5.3%
a 83
 
4.4%
r 58
 
3.1%
i 52
 
2.8%
o 50
 
2.7%
n 43
 
2.3%
O 43
 
2.3%
Other values (60) 858
45.5%
Hangul
ValueCountFrequency (%)
리 206
 
4.7%
이 201
 
4.6%
점 179
 
4.1%
베 105
 
2.4%
스 96
 
2.2%
레 90
 
2.1%
커 77
 
1.8%
마 76
 
1.7%
크 71
 
1.6%
빵 69
 
1.6%
Other values (443) 3198
73.2%
CJK
ValueCountFrequency (%)
美 2
22.2%
味 2
22.2%
米 2
22.2%
日 2
22.2%
加 1
11.1%
None
ValueCountFrequency (%)
× 1
100.0%

최종수정일자
Date

Distinct735
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
Minimum2000-03-17 00:00:00
Maximum2024-04-16 17:08:35
2024-04-18T05:10:22.096097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T05:10:22.202135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
I
405 
U
338 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 405
54.5%
U 338
45.5%

Length

2024-04-18T05:10:22.308540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T05:10:22.386264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 405
54.5%
u 338
45.5%

데이터갱신일자
Date

Distinct355
Distinct (%)47.8%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:05:00
2024-04-18T05:10:22.464436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T05:10:22.567227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
제과점영업
743 

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 743
100.0%

Length

2024-04-18T05:10:22.669684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T05:10:22.741950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제과점영업 743
100.0%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct565
Distinct (%)78.1%
Missing20
Missing (%)2.7%
Infinite0
Infinite (%)0.0%
Mean193202.45
Minimum189286.65
Maximum196697.87
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.7 KiB
2024-04-18T05:10:22.824119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum189286.65
5-th percentile190937.78
Q1192211.43
median193147.18
Q3194020.02
95-th percentile195746.21
Maximum196697.87
Range7411.2236
Interquartile range (IQR)1808.5899

Descriptive statistics

Standard deviation1451.0175
Coefficient of variation (CV)0.0075103476
Kurtosis-0.32904038
Mean193202.45
Median Absolute Deviation (MAD)893.1114
Skewness0.082277923
Sum1.3968537 × 108
Variance2105451.9
MonotonicityNot monotonic
2024-04-18T05:10:22.933351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
193187.802952358 15
 
2.0%
192311.642580307 10
 
1.3%
194020.023177469 9
 
1.2%
192171.23539752 6
 
0.8%
190125.564768858 6
 
0.8%
193905.437192262 6
 
0.8%
195564.375757848 5
 
0.7%
193565.900355472 5
 
0.7%
194262.974298249 3
 
0.4%
195111.088138936 3
 
0.4%
Other values (555) 655
88.2%
(Missing) 20
 
2.7%
ValueCountFrequency (%)
189286.651086068 1
 
0.1%
189315.370584751 2
 
0.3%
189392.975995366 2
 
0.3%
189592.30107511 1
 
0.1%
189857.576601267 1
 
0.1%
189919.550051873 1
 
0.1%
190097.791838986 1
 
0.1%
190125.564768858 6
0.8%
190144.892942247 1
 
0.1%
190250.875091908 2
 
0.3%
ValueCountFrequency (%)
196697.874709656 1
0.1%
196469.692608655 1
0.1%
196343.707794615 1
0.1%
196295.185960856 1
0.1%
196240.514519476 1
0.1%
196025.506524544 1
0.1%
196025.149461117 1
0.1%
196002.238594738 1
0.1%
195998.895889935 1
0.1%
195998.685331221 1
0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct565
Distinct (%)78.1%
Missing20
Missing (%)2.7%
Infinite0
Infinite (%)0.0%
Mean450348.96
Minimum448229.06
Maximum453647.35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.7 KiB
2024-04-18T05:10:23.043409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum448229.06
5-th percentile448900.11
Q1449647.65
median450286.62
Q3450906.31
95-th percentile452501.63
Maximum453647.35
Range5418.2855
Interquartile range (IQR)1258.6668

Descriptive statistics

Standard deviation988.68218
Coefficient of variation (CV)0.0021953691
Kurtosis0.84498675
Mean450348.96
Median Absolute Deviation (MAD)634.14105
Skewness0.74288398
Sum3.256023 × 108
Variance977492.45
MonotonicityNot monotonic
2024-04-18T05:10:23.159013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
450172.178899424 15
 
2.0%
449855.643910445 10
 
1.3%
450426.583343697 9
 
1.2%
449751.486972783 6
 
0.8%
453090.149821248 6
 
0.8%
449372.496499689 6
 
0.8%
449186.933273231 5
 
0.7%
450545.668460987 5
 
0.7%
449218.029800331 3
 
0.4%
448644.311298762 3
 
0.4%
Other values (555) 655
88.2%
(Missing) 20
 
2.7%
ValueCountFrequency (%)
448229.063825491 1
0.1%
448393.658663222 1
0.1%
448411.703822551 1
0.1%
448476.859046692 1
0.1%
448540.434893446 1
0.1%
448575.779442887 2
0.3%
448594.136547225 1
0.1%
448606.519628513 2
0.3%
448625.392712128 1
0.1%
448638.728106688 1
0.1%
ValueCountFrequency (%)
453647.349314742 2
 
0.3%
453577.133041615 1
 
0.1%
453460.99884432 1
 
0.1%
453342.222208599 1
 
0.1%
453302.04990022 1
 
0.1%
453213.198487908 2
 
0.3%
453114.7324935 2
 
0.3%
453114.474936778 1
 
0.1%
453090.149821248 6
0.8%
453017.867202928 2
 
0.3%

위생업태명
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
제과점영업
506 
<NA>
237 

Length

Max length5
Median length5
Mean length4.6810229
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
제과점영업 506
68.1%
<NA> 237
31.9%

Length

2024-04-18T05:10:23.257532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T05:10:23.333126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제과점영업 506
68.1%
na 237
31.9%

남성종사자수
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)4.2%
Missing575
Missing (%)77.4%
Infinite0
Infinite (%)0.0%
Mean0.69642857
Minimum0
Maximum6
Zeros97
Zeros (%)13.1%
Negative0
Negative (%)0.0%
Memory size6.7 KiB
2024-04-18T05:10:23.396723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum6
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.0482888
Coefficient of variation (CV)1.5052351
Kurtosis5.0465658
Mean0.69642857
Median Absolute Deviation (MAD)0
Skewness1.9929156
Sum117
Variance1.0989093
MonotonicityNot monotonic
2024-04-18T05:10:23.472452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 97
 
13.1%
1 43
 
5.8%
2 16
 
2.2%
3 9
 
1.2%
6 1
 
0.1%
5 1
 
0.1%
4 1
 
0.1%
(Missing) 575
77.4%
ValueCountFrequency (%)
0 97
13.1%
1 43
5.8%
2 16
 
2.2%
3 9
 
1.2%
4 1
 
0.1%
5 1
 
0.1%
6 1
 
0.1%
ValueCountFrequency (%)
6 1
 
0.1%
5 1
 
0.1%
4 1
 
0.1%
3 9
 
1.2%
2 16
 
2.2%
1 43
5.8%
0 97
13.1%

여성종사자수
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)5.2%
Missing570
Missing (%)76.7%
Infinite0
Infinite (%)0.0%
Mean0.95375723
Minimum0
Maximum15
Zeros92
Zeros (%)12.4%
Negative0
Negative (%)0.0%
Memory size6.7 KiB
2024-04-18T05:10:23.549045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile4
Maximum15
Range15
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.7280687
Coefficient of variation (CV)1.8118538
Kurtosis26.425868
Mean0.95375723
Median Absolute Deviation (MAD)0
Skewness4.1754929
Sum165
Variance2.9862213
MonotonicityNot monotonic
2024-04-18T05:10:23.634027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 92
 
12.4%
1 48
 
6.5%
2 16
 
2.2%
4 5
 
0.7%
3 5
 
0.7%
5 3
 
0.4%
7 2
 
0.3%
15 1
 
0.1%
6 1
 
0.1%
(Missing) 570
76.7%
ValueCountFrequency (%)
0 92
12.4%
1 48
6.5%
2 16
 
2.2%
3 5
 
0.7%
4 5
 
0.7%
5 3
 
0.4%
6 1
 
0.1%
7 2
 
0.3%
15 1
 
0.1%
ValueCountFrequency (%)
15 1
 
0.1%
7 2
 
0.3%
6 1
 
0.1%
5 3
 
0.4%
4 5
 
0.7%
3 5
 
0.7%
2 16
 
2.2%
1 48
6.5%
0 92
12.4%

영업장주변구분명
Categorical

IMBALANCE 

Distinct7
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
<NA>
645 
기타
 
48
주택가주변
 
36
아파트지역
 
9
유흥업소밀집지역
 
3
Other values (2)
 
2

Length

Max length8
Median length4
Mean length3.9582773
Min length2

Unique

Unique2 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 645
86.8%
기타 48
 
6.5%
주택가주변 36
 
4.8%
아파트지역 9
 
1.2%
유흥업소밀집지역 3
 
0.4%
학교정화(상대) 1
 
0.1%
학교정화(절대) 1
 
0.1%

Length

2024-04-18T05:10:23.737347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T05:10:23.825018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 645
86.8%
기타 48
 
6.5%
주택가주변 36
 
4.8%
아파트지역 9
 
1.2%
유흥업소밀집지역 3
 
0.4%
학교정화(상대 1
 
0.1%
학교정화(절대 1
 
0.1%

등급구분명
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
<NA>
664 
자율
 
40
기타
 
25
지도
 
11
을
 
2

Length

Max length4
Median length4
Mean length3.7833109
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 664
89.4%
자율 40
 
5.4%
기타 25
 
3.4%
지도 11
 
1.5%
을 2
 
0.3%
갑 1
 
0.1%

Length

2024-04-18T05:10:23.922203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T05:10:24.007601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 664
89.4%
자율 40
 
5.4%
기타 25
 
3.4%
지도 11
 
1.5%
을 2
 
0.3%
갑 1
 
0.1%

급수시설구분명
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
<NA>
618 
상수도전용
125 

Length

Max length5
Median length4
Mean length4.1682369
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 618
83.2%
상수도전용 125
 
16.8%

Length

2024-04-18T05:10:24.099451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T05:10:24.175478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 618
83.2%
상수도전용 125
 
16.8%

총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
<NA>
690 
0
 
53

Length

Max length4
Median length4
Mean length3.7860027
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> 690
92.9%
0 53
 
7.1%

Length

2024-04-18T05:10:24.257758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T05:10:24.356225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 690
92.9%
0 53
 
7.1%

본사종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
<NA>
688 
0
 
55

Length

Max length4
Median length4
Mean length3.7779273
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> 688
92.6%
0 55
 
7.4%

Length

2024-04-18T05:10:24.443394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T05:10:24.520183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 688
92.6%
0 55
 
7.4%

공장사무직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
<NA>
688 
0
 
55

Length

Max length4
Median length4
Mean length3.7779273
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> 688
92.6%
0 55
 
7.4%

Length

2024-04-18T05:10:24.601491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T05:10:24.679578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 688
92.6%
0 55
 
7.4%

공장판매직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
<NA>
688 
0
 
55

Length

Max length4
Median length4
Mean length3.7779273
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> 688
92.6%
0 55
 
7.4%

Length

2024-04-18T05:10:24.760184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T05:10:24.837726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 688
92.6%
0 55
 
7.4%

공장생산직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
<NA>
688 
0
 
55

Length

Max length4
Median length4
Mean length3.7779273
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> 688
92.6%
0 55
 
7.4%

Length

2024-04-18T05:10:24.934523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T05:10:25.035372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 688
92.6%
0 55
 
7.4%

건물소유구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing743
Missing (%)100.0%
Memory size6.7 KiB

보증액
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
<NA>
688 
0
 
55

Length

Max length4
Median length4
Mean length3.7779273
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> 688
92.6%
0 55
 
7.4%

Length

2024-04-18T05:10:25.118653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T05:10:25.198857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 688
92.6%
0 55
 
7.4%

월세액
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
<NA>
688 
0
 
55

Length

Max length4
Median length4
Mean length3.7779273
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> 688
92.6%
0 55
 
7.4%

Length

2024-04-18T05:10:25.282801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T05:10:25.362092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 688
92.6%
0 55
 
7.4%

다중이용업소여부
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)0.4%
Missing237
Missing (%)31.9%
Memory size1.6 KiB
False
504 
True
 
2
(Missing)
237 
ValueCountFrequency (%)
False 504
67.8%
True 2
 
0.3%
(Missing) 237
31.9%
2024-04-18T05:10:25.423448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

MISSING 

Distinct400
Distinct (%)79.1%
Missing237
Missing (%)31.9%
Infinite0
Infinite (%)0.0%
Mean53.226522
Minimum0
Maximum608.57
Zeros5
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size6.7 KiB
2024-04-18T05:10:25.502455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile13.2
Q125.5825
median36.955
Q362.065
95-th percentile134.0375
Maximum608.57
Range608.57
Interquartile range (IQR)36.4825

Descriptive statistics

Standard deviation53.281941
Coefficient of variation (CV)1.0010412
Kurtosis30.534372
Mean53.226522
Median Absolute Deviation (MAD)14.955
Skewness4.3687167
Sum26932.62
Variance2838.9652
MonotonicityNot monotonic
2024-04-18T05:10:25.605793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
33.0 10
 
1.3%
32.0 7
 
0.9%
26.0 6
 
0.8%
30.0 6
 
0.8%
0.0 5
 
0.7%
35.0 5
 
0.7%
25.0 4
 
0.5%
26.4 4
 
0.5%
58.0 4
 
0.5%
16.5 4
 
0.5%
Other values (390) 451
60.7%
(Missing) 237
31.9%
ValueCountFrequency (%)
0.0 5
0.7%
5.0 2
 
0.3%
5.3 1
 
0.1%
6.6 2
 
0.3%
8.0 1
 
0.1%
8.2 1
 
0.1%
8.24 1
 
0.1%
9.0 1
 
0.1%
9.1 1
 
0.1%
9.9 1
 
0.1%
ValueCountFrequency (%)
608.57 1
0.1%
379.1 1
0.1%
341.16 1
0.1%
328.56 1
0.1%
293.22 1
0.1%
274.38 1
0.1%
266.66 1
0.1%
252.7 1
0.1%
252.69 1
0.1%
235.81 1
0.1%

전통업소지정번호
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
<NA>
742 
0
 
1

Length

Max length4
Median length4
Mean length3.9959623
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 742
99.9%
0 1
 
0.1%

Length

2024-04-18T05:10:25.737384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T05:10:25.837242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 742
99.9%
0 1
 
0.1%

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing743
Missing (%)100.0%
Memory size6.7 KiB

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing743
Missing (%)100.0%
Memory size6.7 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
031300003130000-121-1977-0000119771219<NA>1영업/정상1영업<NA><NA><NA><NA>02 334138742.72121823서울특별시 마포구 망원동 423-1번지서울특별시 마포구 포은로 120 (망원동, 1층 일부)3964파리바게트망원점2012-05-30 15:07:55I2018-08-31 23:59:59.0제과점영업191492.900687450605.339933제과점영업12주택가주변지도상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N42.72<NA><NA><NA>
131300003130000-121-1979-0000119790615<NA>3폐업2폐업20090106<NA><NA><NA>02 334943032.2121822서울특별시 마포구 망원동 411-41번지<NA><NA>르네상스과자점2000-03-17 00:00:00I2018-08-31 23:59:59.0제과점영업191542.166645450389.794665제과점영업11주택가주변지도상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N32.2<NA><NA><NA>
231300003130000-121-1979-0000219790901<NA>3폐업2폐업20170918<NA><NA><NA>02 362911795.67121862서울특별시 마포구 아현동 617-49번지서울특별시 마포구 마포대로 187 (아현동)4130파리바게트 애오개점2017-09-18 11:40:29I2018-08-31 23:59:59.0제과점영업195962.358526449843.009415제과점영업11기타지도상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N95.67<NA><NA><NA>
331300003130000-121-1981-0000119810519<NA>1영업/정상1영업<NA><NA><NA><NA>020715280863.94121876서울특별시 마포구 용강동 122-1번지서울특별시 마포구 토정로 282 (용강동)4163르네상스과자점2012-02-21 09:54:51I2018-08-31 23:59:59.0제과점영업194695.79706448818.967991제과점영업11아파트지역지도상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N63.94<NA><NA><NA>
431300003130000-121-1982-0000119820206<NA>3폐업2폐업20130325<NA><NA><NA>02 336302045.15121897서울특별시 마포구 합정동 373-17번지<NA><NA>뚜레쥬르합정사거리점2013-02-01 13:27:43I2018-08-31 23:59:59.0제과점영업192299.467441449584.700607제과점영업11기타지도상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N45.15<NA><NA><NA>
531300003130000-121-1982-0000219820206<NA>3폐업2폐업20090128<NA><NA><NA>02 337531338.96121820서울특별시 마포구 망원동 338-1번지<NA><NA>오렌지베이커리2000-06-26 00:00:00I2018-08-31 23:59:59.0제과점영업191651.829438450113.439547제과점영업11주택가주변지도상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N38.96<NA><NA><NA>
631300003130000-121-1983-0000119831027<NA>3폐업2폐업20120208<NA><NA><NA>02 3246800252.7121817서울특별시 마포구 동교동 162-16번지 1층<NA><NA>리치몬드과자점2010-10-06 16:45:27I2018-08-31 23:59:59.0제과점영업193058.479369450303.939329제과점영업65기타갑상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N252.70<NA><NA>
731300003130000-121-1983-0000219831027<NA>3폐업2폐업20101026<NA><NA><NA>02 716747122.05121808서울특별시 마포구 대흥동 3-43번지<NA><NA>퐁네프제과점2000-03-17 00:00:00I2018-08-31 23:59:59.0제과점영업195199.689013450223.950765제과점영업11주택가주변지도상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N22.05<NA><NA><NA>
831300003130000-121-1986-0000119861105<NA>3폐업2폐업20070709<NA><NA><NA>02 336984652.96121825서울특별시 마포구 망원동 435-1번지<NA><NA>홍도선과자점2002-06-04 00:00:00I2018-08-31 23:59:59.0제과점영업191339.639553450879.451466제과점영업11아파트지역지도상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N52.96<NA><NA><NA>
931300003130000-121-1986-0000219860527<NA>1영업/정상1영업<NA><NA><NA><NA>0217.73121850서울특별시 마포구 성산동 446-0번지 시영아파트<NA><NA>신라명과2000-09-21 00:00:00I2018-08-31 23:59:59.0제과점영업191263.451931452207.500654제과점영업01아파트지역지도상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N17.73<NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
73331300003130000-121-2024-000042024-01-26<NA>1영업/정상1영업<NA><NA><NA><NA>02 3220621354.54121-865서울특별시 마포구 연남동 258-3 보나바시움(BONABASIUM)서울특별시 마포구 동교로 247, 보나바시움(BONABASIUM) 1?2?3층 (연남동)3984보나바시움-랜디스도넛 연남점2024-01-26 14:39:05I2023-11-30 22:08:00.0제과점영업193226.271275451085.268414<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73431300003130000-121-2024-000052024-02-27<NA>1영업/정상1영업<NA><NA><NA><NA><NA>10.0121-812서울특별시 마포구 도화동 1-352서울특별시 마포구 새창로6나길 31, 1층 일부호 (도화동)4169마타사2024-02-27 13:40:59I2023-12-01 22:09:00.0제과점영업195898.044546448763.810609<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73531300003130000-121-2024-000062024-02-29<NA>1영업/정상1영업<NA><NA><NA><NA><NA>27.0121-896서울특별시 마포구 서교동 9-12서울특별시 마포구 와우산로32길 42, 1층 일부호 (서교동)4057그리디톰2024-02-29 10:57:15I2023-12-03 00:02:00.0제과점영업193974.342259450271.058103<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73631300003130000-121-2024-000072024-03-25<NA>1영업/정상1영업<NA><NA><NA><NA><NA>19.5121-802서울특별시 마포구 공덕동 188-108 현대상가서울특별시 마포구 마포대로11길 84, 현대상가 6동 1층 109호 (공덕동)4133좋은날 케이크2024-03-25 11:26:15I2023-12-02 22:07:00.0제과점영업195512.350289449741.783734<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73731300003130000-121-2024-000082024-03-25<NA>1영업/정상1영업<NA><NA><NA><NA><NA>51.39121-865서울특별시 마포구 연남동 223-26서울특별시 마포구 동교로51안길 16, 1층 (연남동)3980베이글 월드(Bagel world)2024-03-25 13:22:27I2023-12-02 22:07:00.0제과점영업193271.916368451445.3359<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73831300003130000-121-2024-000092024-03-27<NA>1영업/정상1영업<NA><NA><NA><NA><NA>56.26121-812서울특별시 마포구 도화동 2-338서울특별시 마포구 새창로6길 43, 지하1층 (도화동)4181포트솔러(PORT SOLLER)2024-03-27 11:24:52I2023-12-02 22:09:00.0제과점영업195675.081631448679.131986<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73931300003130000-121-2024-000102024-03-27<NA>1영업/정상1영업<NA><NA><NA><NA><NA>44.0121-919서울특별시 마포구 서교동 490 메세나폴리스서울특별시 마포구 양화로 45, 지1층 B173호 (서교동, 메세나폴리스)4036뚜레쥬르 합정메세나점2024-03-27 17:34:43I2023-12-02 22:09:00.0제과점영업192311.64258449855.64391<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
74031300003130000-121-2024-000112024-03-27<NA>1영업/정상1영업<NA><NA><NA><NA><NA>28.0121-919서울특별시 마포구 서교동 490 메세나폴리스서울특별시 마포구 양화로 45, 지1층 B115호 (서교동, 메세나폴리스)4036뚜레쥬르 합정메세나점2024-03-27 17:41:56I2023-12-02 22:09:00.0제과점영업192311.64258449855.64391<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
74131300003130000-121-2024-000122024-04-01<NA>1영업/정상1영업<NA><NA><NA><NA><NA>38.48121-110서울특별시 마포구 신수동 462 신촌숲아이파크서울특별시 마포구 광성로 17, 상가동 지하1층 122호 (신수동, 신촌숲아이파크)4094르 쁠레지흐 뒤 빵(Le plaisir du pain)2024-04-01 13:20:41I2023-12-04 00:03:00.0제과점영업194134.552742449869.274982<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
74231300003130000-121-2024-000132024-04-12<NA>1영업/정상1영업<NA><NA><NA><NA><NA>89.6121-816서울특별시 마포구 동교동 148-9서울특별시 마포구 양화로23길 28, 3층 (동교동)3985비포블루밍(BEFORE BLOOMING)2024-04-12 12:09:37I2023-12-03 23:04:00.0제과점영업193309.272607450817.534482<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>