Overview

Dataset statistics

Number of variables44
Number of observations4524
Missing cells42002
Missing cells (%)21.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.6 MiB
Average record size in memory376.0 B

Variable types

Categorical21
Text6
DateTime4
Unsupported7
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
Author마포구
URLhttps://data.seoul.go.kr/dataList/OA-18440/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
업태구분명 has constant value ""Constant
다중이용업소여부 has constant value ""Constant
남성종사자수 is highly imbalanced (74.6%)Imbalance
여성종사자수 is highly imbalanced (68.4%)Imbalance
영업장주변구분명 is highly imbalanced (81.0%)Imbalance
등급구분명 is highly imbalanced (77.3%)Imbalance
급수시설구분명 is highly imbalanced (53.8%)Imbalance
총인원 is highly imbalanced (64.5%)Imbalance
본사종업원수 is highly imbalanced (62.0%)Imbalance
공장사무직종업원수 is highly imbalanced (62.0%)Imbalance
공장판매직종업원수 is highly imbalanced (68.9%)Imbalance
보증액 is highly imbalanced (77.6%)Imbalance
월세액 is highly imbalanced (77.6%)Imbalance
인허가취소일자 has 4524 (100.0%) missing valuesMissing
폐업일자 has 902 (19.9%) missing valuesMissing
휴업시작일자 has 4524 (100.0%) missing valuesMissing
휴업종료일자 has 4524 (100.0%) missing valuesMissing
재개업일자 has 4524 (100.0%) missing valuesMissing
전화번호 has 2739 (60.5%) missing valuesMissing
소재지면적 has 1409 (31.1%) missing valuesMissing
도로명주소 has 868 (19.2%) missing valuesMissing
도로명우편번호 has 880 (19.5%) missing valuesMissing
좌표정보(X) has 385 (8.5%) missing valuesMissing
좌표정보(Y) has 385 (8.5%) missing valuesMissing
다중이용업소여부 has 1375 (30.4%) missing valuesMissing
시설총규모 has 1375 (30.4%) missing valuesMissing
전통업소지정번호 has 4524 (100.0%) missing valuesMissing
전통업소주된음식 has 4524 (100.0%) missing valuesMissing
홈페이지 has 4524 (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
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 583 (12.9%) zerosZeros
시설총규모 has 3070 (67.9%) zerosZeros

Reproduction

Analysis started2024-04-29 19:43:41.497725
Analysis finished2024-04-29 19:43:43.194431
Duration1.7 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size35.5 KiB
3130000
4524 

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 4524
100.0%

Length

2024-04-30T04:43:43.257684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:43:43.329432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3130000 4524
100.0%

관리번호
Text

UNIQUE 

Distinct4524
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size35.5 KiB
2024-04-30T04:43:43.474424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters99528
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

Unique4524 ?
Unique (%)100.0%

Sample

1st row3130000-107-1964-00133
2nd row3130000-107-1969-00067
3rd row3130000-107-1969-00070
4th row3130000-107-1971-00073
5th row3130000-107-1971-00096
ValueCountFrequency (%)
3130000-107-1964-00133 1
 
< 0.1%
3130000-107-2021-00080 1
 
< 0.1%
3130000-107-2021-00086 1
 
< 0.1%
3130000-107-2021-00085 1
 
< 0.1%
3130000-107-2021-00084 1
 
< 0.1%
3130000-107-2021-00094 1
 
< 0.1%
3130000-107-2021-00082 1
 
< 0.1%
3130000-107-2021-00081 1
 
< 0.1%
3130000-107-2021-00079 1
 
< 0.1%
3130000-107-2021-00088 1
 
< 0.1%
Other values (4514) 4514
99.8%
2024-04-30T04:43:43.748506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 39934
40.1%
1 13600
 
13.7%
- 13572
 
13.6%
3 11225
 
11.3%
2 8501
 
8.5%
7 5740
 
5.8%
9 1954
 
2.0%
4 1441
 
1.4%
8 1404
 
1.4%
6 1116
 
1.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 85956
86.4%
Dash Punctuation 13572
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 39934
46.5%
1 13600
 
15.8%
3 11225
 
13.1%
2 8501
 
9.9%
7 5740
 
6.7%
9 1954
 
2.3%
4 1441
 
1.7%
8 1404
 
1.6%
6 1116
 
1.3%
5 1041
 
1.2%
Dash Punctuation
ValueCountFrequency (%)
- 13572
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 99528
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 39934
40.1%
1 13600
 
13.7%
- 13572
 
13.6%
3 11225
 
11.3%
2 8501
 
8.5%
7 5740
 
5.8%
9 1954
 
2.0%
4 1441
 
1.4%
8 1404
 
1.4%
6 1116
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 99528
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 39934
40.1%
1 13600
 
13.7%
- 13572
 
13.6%
3 11225
 
11.3%
2 8501
 
8.5%
7 5740
 
5.8%
9 1954
 
2.0%
4 1441
 
1.4%
8 1404
 
1.4%
6 1116
 
1.1%

인허가일자
Date

Distinct2590
Distinct (%)57.3%
Missing0
Missing (%)0.0%
Memory size35.5 KiB
Minimum1964-12-04 00:00:00
Maximum2024-04-25 00:00:00
2024-04-30T04:43:43.876069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:43:44.013986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4524
Missing (%)100.0%
Memory size39.9 KiB

영업상태코드
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size35.5 KiB
3
3622 
1
902 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 3622
80.1%
1 902
 
19.9%

Length

2024-04-30T04:43:44.132492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:43:44.201161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 3622
80.1%
1 902
 
19.9%

영업상태명
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size35.5 KiB
폐업
3622 
영업/정상
902 

Length

Max length5
Median length2
Mean length2.5981432
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 3622
80.1%
영업/정상 902
 
19.9%

Length

2024-04-30T04:43:44.281801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:43:44.369528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 3622
80.1%
영업/정상 902
 
19.9%

상세영업상태코드
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size35.5 KiB
2
3622 
1
902 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 3622
80.1%
1 902
 
19.9%

Length

2024-04-30T04:43:44.463565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:43:44.539581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 3622
80.1%
1 902
 
19.9%

상세영업상태명
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size35.5 KiB
폐업
3622 
영업
902 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 3622
80.1%
영업 902
 
19.9%

Length

2024-04-30T04:43:44.619468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:43:44.697639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 3622
80.1%
영업 902
 
19.9%

폐업일자
Date

MISSING 

Distinct2297
Distinct (%)63.4%
Missing902
Missing (%)19.9%
Memory size35.5 KiB
Minimum1990-01-01 00:00:00
Maximum2024-04-24 00:00:00
2024-04-30T04:43:44.791778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:43:44.939517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4524
Missing (%)100.0%
Memory size39.9 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4524
Missing (%)100.0%
Memory size39.9 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4524
Missing (%)100.0%
Memory size39.9 KiB

전화번호
Text

MISSING 

Distinct1311
Distinct (%)73.4%
Missing2739
Missing (%)60.5%
Memory size35.5 KiB
2024-04-30T04:43:45.237358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length10.217367
Min length2

Characters and Unicode

Total characters18238
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

Unique1193 ?
Unique (%)66.8%

Sample

1st row02 0
2nd row02 7173051
3rd row02 7153505
4th row02
5th row02 0
ValueCountFrequency (%)
02 1061
30.2%
031 170
 
4.8%
070 79
 
2.3%
032 41
 
1.2%
3007020 29
 
0.8%
336 25
 
0.7%
701 24
 
0.7%
4042240 24
 
0.7%
0 24
 
0.7%
5604 16
 
0.5%
Other values (1398) 2016
57.5%
2024-04-30T04:43:45.625781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3385
18.6%
2 2717
14.9%
3 2186
12.0%
2156
11.8%
7 1467
8.0%
1 1333
 
7.3%
4 1145
 
6.3%
5 1088
 
6.0%
8 966
 
5.3%
6 957
 
5.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 16082
88.2%
Space Separator 2156
 
11.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3385
21.0%
2 2717
16.9%
3 2186
13.6%
7 1467
9.1%
1 1333
 
8.3%
4 1145
 
7.1%
5 1088
 
6.8%
8 966
 
6.0%
6 957
 
6.0%
9 838
 
5.2%
Space Separator
ValueCountFrequency (%)
2156
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18238
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3385
18.6%
2 2717
14.9%
3 2186
12.0%
2156
11.8%
7 1467
8.0%
1 1333
 
7.3%
4 1145
 
6.3%
5 1088
 
6.0%
8 966
 
5.3%
6 957
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18238
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3385
18.6%
2 2717
14.9%
3 2186
12.0%
2156
11.8%
7 1467
8.0%
1 1333
 
7.3%
4 1145
 
6.3%
5 1088
 
6.0%
8 966
 
5.3%
6 957
 
5.2%

소재지면적
Real number (ℝ)

MISSING  ZEROS 

Distinct1011
Distinct (%)32.5%
Missing1409
Missing (%)31.1%
Infinite0
Infinite (%)0.0%
Mean20.221226
Minimum0
Maximum325.97
Zeros583
Zeros (%)12.9%
Negative0
Negative (%)0.0%
Memory size39.9 KiB
2024-04-30T04:43:45.750720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median10
Q326.465
95-th percentile73.305
Maximum325.97
Range325.97
Interquartile range (IQR)23.465

Descriptive statistics

Standard deviation28.746749
Coefficient of variation (CV)1.4216125
Kurtosis11.998431
Mean20.221226
Median Absolute Deviation (MAD)10
Skewness2.9413344
Sum62989.12
Variance826.37557
MonotonicityNot monotonic
2024-04-30T04:43:45.865169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 583
 
12.9%
10.0 111
 
2.5%
3.3 96
 
2.1%
6.0 94
 
2.1%
6.6 81
 
1.8%
130.68 77
 
1.7%
3.0 63
 
1.4%
4.0 53
 
1.2%
33.0 51
 
1.1%
5.0 47
 
1.0%
Other values (1001) 1859
41.1%
(Missing) 1409
31.1%
ValueCountFrequency (%)
0.0 583
12.9%
0.35 1
 
< 0.1%
0.37 1
 
< 0.1%
0.45 1
 
< 0.1%
0.48 1
 
< 0.1%
0.5 1
 
< 0.1%
0.52 1
 
< 0.1%
0.6 2
 
< 0.1%
0.7 1
 
< 0.1%
0.72 1
 
< 0.1%
ValueCountFrequency (%)
325.97 1
< 0.1%
240.83 1
< 0.1%
212.04 1
< 0.1%
205.26 1
< 0.1%
174.0 1
< 0.1%
165.0 1
< 0.1%
164.8 1
< 0.1%
153.35 1
< 0.1%
150.38 1
< 0.1%
150.23 1
< 0.1%

소재지우편번호
Text

Distinct224
Distinct (%)5.0%
Missing8
Missing (%)0.2%
Memory size35.5 KiB
2024-04-30T04:43:46.124933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.2052702
Min length6

Characters and Unicode

Total characters28023
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

Unique35 ?
Unique (%)0.8%

Sample

1st row121860
2nd row121811
3rd row121856
4th row121888
5th row121874
ValueCountFrequency (%)
121849 672
 
14.9%
121030 328
 
7.3%
121807 295
 
6.5%
121919 167
 
3.7%
121850 127
 
2.8%
121805 127
 
2.8%
121892 113
 
2.5%
121-849 103
 
2.3%
121-804 87
 
1.9%
121827 82
 
1.8%
Other values (214) 2415
53.5%
2024-04-30T04:43:46.534371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 9814
35.0%
2 5307
18.9%
8 3867
 
13.8%
0 2252
 
8.0%
9 1874
 
6.7%
4 1239
 
4.4%
- 927
 
3.3%
7 801
 
2.9%
3 736
 
2.6%
5 731
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 27096
96.7%
Dash Punctuation 927
 
3.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 9814
36.2%
2 5307
19.6%
8 3867
 
14.3%
0 2252
 
8.3%
9 1874
 
6.9%
4 1239
 
4.6%
7 801
 
3.0%
3 736
 
2.7%
5 731
 
2.7%
6 475
 
1.8%
Dash Punctuation
ValueCountFrequency (%)
- 927
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 28023
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 9814
35.0%
2 5307
18.9%
8 3867
 
13.8%
0 2252
 
8.0%
9 1874
 
6.7%
4 1239
 
4.4%
- 927
 
3.3%
7 801
 
2.9%
3 736
 
2.6%
5 731
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 28023
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 9814
35.0%
2 5307
18.9%
8 3867
 
13.8%
0 2252
 
8.0%
9 1874
 
6.7%
4 1239
 
4.4%
- 927
 
3.3%
7 801
 
2.9%
3 736
 
2.6%
5 731
 
2.6%

지번주소
Text

Distinct2225
Distinct (%)49.3%
Missing8
Missing (%)0.2%
Memory size35.5 KiB
2024-04-30T04:43:46.751442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length44
Mean length25.140168
Min length16

Characters and Unicode

Total characters113533
Distinct characters368
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1915 ?
Unique (%)42.4%

Sample

1st row서울특별시 마포구 아현동 373-3
2nd row서울특별시 마포구 대흥동 765-3
3rd row서울특별시 마포구 신수동 288-1 (1층)
4th row서울특별시 마포구 합정동 439-2
5th row서울특별시 마포구 염리동 364-249
ValueCountFrequency (%)
서울특별시 4516
19.9%
마포구 4515
19.9%
성산동 1006
 
4.4%
515 702
 
3.1%
서교동 510
 
2.3%
신공덕동 407
 
1.8%
망원동 389
 
1.7%
173 381
 
1.7%
월드컵주경기장 357
 
1.6%
1층 340
 
1.5%
Other values (2268) 9522
42.0%
2024-04-30T04:43:47.313698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
21228
18.7%
마 5550
 
4.9%
서 5348
 
4.7%
포 5002
 
4.4%
울 4691
 
4.1%
동 4685
 
4.1%
시 4674
 
4.1%
구 4593
 
4.0%
특 4520
 
4.0%
별 4520
 
4.0%
Other values (358) 48722
42.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 71118
62.6%
Space Separator 21228
 
18.7%
Decimal Number 18201
 
16.0%
Dash Punctuation 2332
 
2.1%
Uppercase Letter 185
 
0.2%
Close Punctuation 177
 
0.2%
Open Punctuation 176
 
0.2%
Other Punctuation 73
 
0.1%
Lowercase Letter 39
 
< 0.1%
Letter Number 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
마 5550
 
7.8%
서 5348
 
7.5%
포 5002
 
7.0%
울 4691
 
6.6%
동 4685
 
6.6%
시 4674
 
6.6%
구 4593
 
6.5%
특 4520
 
6.4%
별 4520
 
6.4%
산 1509
 
2.1%
Other values (301) 26026
36.6%
Uppercase Letter
ValueCountFrequency (%)
B 35
18.9%
C 27
14.6%
M 21
11.4%
D 18
9.7%
A 17
9.2%
S 11
 
5.9%
K 10
 
5.4%
T 10
 
5.4%
G 8
 
4.3%
P 6
 
3.2%
Other values (9) 22
11.9%
Lowercase Letter
ValueCountFrequency (%)
a 6
15.4%
n 5
12.8%
e 5
12.8%
i 4
10.3%
s 4
10.3%
o 3
7.7%
r 2
 
5.1%
t 2
 
5.1%
y 1
 
2.6%
g 1
 
2.6%
Other values (6) 6
15.4%
Decimal Number
ValueCountFrequency (%)
1 3906
21.5%
5 2483
13.6%
4 2427
13.3%
3 2298
12.6%
7 1509
 
8.3%
2 1479
 
8.1%
0 1273
 
7.0%
9 1122
 
6.2%
6 1032
 
5.7%
8 672
 
3.7%
Other Punctuation
ValueCountFrequency (%)
, 66
90.4%
. 4
 
5.5%
& 2
 
2.7%
/ 1
 
1.4%
Close Punctuation
ValueCountFrequency (%)
) 176
99.4%
] 1
 
0.6%
Open Punctuation
ValueCountFrequency (%)
( 175
99.4%
[ 1
 
0.6%
Space Separator
ValueCountFrequency (%)
21228
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2332
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 3
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 71083
62.6%
Common 42188
37.2%
Latin 227
 
0.2%
Han 35
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
마 5550
 
7.8%
서 5348
 
7.5%
포 5002
 
7.0%
울 4691
 
6.6%
동 4685
 
6.6%
시 4674
 
6.6%
구 4593
 
6.5%
특 4520
 
6.4%
별 4520
 
6.4%
산 1509
 
2.1%
Other values (295) 25991
36.6%
Latin
ValueCountFrequency (%)
B 35
15.4%
C 27
11.9%
M 21
 
9.3%
D 18
 
7.9%
A 17
 
7.5%
S 11
 
4.8%
K 10
 
4.4%
T 10
 
4.4%
G 8
 
3.5%
a 6
 
2.6%
Other values (26) 64
28.2%
Common
ValueCountFrequency (%)
21228
50.3%
1 3906
 
9.3%
5 2483
 
5.9%
4 2427
 
5.8%
- 2332
 
5.5%
3 2298
 
5.4%
7 1509
 
3.6%
2 1479
 
3.5%
0 1273
 
3.0%
9 1122
 
2.7%
Other values (11) 2131
 
5.1%
Han
ValueCountFrequency (%)
內 30
85.7%
怡 1
 
2.9%
里 1
 
2.9%
軒 1
 
2.9%
和 1
 
2.9%
信 1
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 71082
62.6%
ASCII 42412
37.4%
CJK 34
 
< 0.1%
Number Forms 3
 
< 0.1%
CJK Compat Ideographs 1
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
21228
50.1%
1 3906
 
9.2%
5 2483
 
5.9%
4 2427
 
5.7%
- 2332
 
5.5%
3 2298
 
5.4%
7 1509
 
3.6%
2 1479
 
3.5%
0 1273
 
3.0%
9 1122
 
2.6%
Other values (46) 2355
 
5.6%
Hangul
ValueCountFrequency (%)
마 5550
 
7.8%
서 5348
 
7.5%
포 5002
 
7.0%
울 4691
 
6.6%
동 4685
 
6.6%
시 4674
 
6.6%
구 4593
 
6.5%
특 4520
 
6.4%
별 4520
 
6.4%
산 1509
 
2.1%
Other values (294) 25990
36.6%
CJK
ValueCountFrequency (%)
內 30
88.2%
怡 1
 
2.9%
軒 1
 
2.9%
和 1
 
2.9%
信 1
 
2.9%
Number Forms
ValueCountFrequency (%)
Ⅱ 3
100.0%
CJK Compat Ideographs
ValueCountFrequency (%)
里 1
100.0%
Compat Jamo
ValueCountFrequency (%)
ㅎ 1
100.0%

도로명주소
Text

MISSING 

Distinct2270
Distinct (%)62.1%
Missing868
Missing (%)19.2%
Memory size35.5 KiB
2024-04-30T04:43:47.578875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length65
Median length54
Mean length37.370897
Min length22

Characters and Unicode

Total characters136628
Distinct characters390
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2001 ?
Unique (%)54.7%

Sample

1st row서울특별시 마포구 토정로25길 20 (대흥동)
2nd row서울특별시 마포구 양화진길 5 (합정동)
3rd row서울특별시 마포구 신촌로 86 (노고산동)
4th row서울특별시 마포구 양화진길 5 (합정동)
5th row서울특별시 마포구 만리재로 23 (공덕동)
ValueCountFrequency (%)
서울특별시 3656
 
13.5%
마포구 3655
 
13.5%
1층 1244
 
4.6%
성산동 756
 
2.8%
월드컵로 606
 
2.2%
240 539
 
2.0%
서교동 488
 
1.8%
45 408
 
1.5%
백범로 402
 
1.5%
신공덕동 399
 
1.5%
Other values (1769) 14996
55.2%
2024-04-30T04:43:47.963320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
23574
 
17.3%
마 5586
 
4.1%
포 4690
 
3.4%
, 4586
 
3.4%
서 4572
 
3.3%
1 4170
 
3.1%
동 4018
 
2.9%
울 3887
 
2.8%
로 3860
 
2.8%
시 3815
 
2.8%
Other values (380) 73870
54.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 85138
62.3%
Space Separator 23574
 
17.3%
Decimal Number 15122
 
11.1%
Other Punctuation 4593
 
3.4%
Close Punctuation 3731
 
2.7%
Open Punctuation 3731
 
2.7%
Uppercase Letter 350
 
0.3%
Dash Punctuation 320
 
0.2%
Lowercase Letter 63
 
< 0.1%
Letter Number 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
마 5586
 
6.6%
포 4690
 
5.5%
서 4572
 
5.4%
동 4018
 
4.7%
울 3887
 
4.6%
로 3860
 
4.5%
시 3815
 
4.5%
구 3719
 
4.4%
특 3661
 
4.3%
별 3660
 
4.3%
Other values (322) 43670
51.3%
Uppercase Letter
ValueCountFrequency (%)
B 106
30.3%
G 47
13.4%
S 42
 
12.0%
A 32
 
9.1%
C 28
 
8.0%
M 17
 
4.9%
K 15
 
4.3%
D 13
 
3.7%
T 9
 
2.6%
P 7
 
2.0%
Other values (11) 34
 
9.7%
Lowercase Letter
ValueCountFrequency (%)
s 13
20.6%
g 11
17.5%
b 6
9.5%
a 6
9.5%
e 5
 
7.9%
n 5
 
7.9%
i 4
 
6.3%
o 3
 
4.8%
r 2
 
3.2%
t 2
 
3.2%
Other values (6) 6
9.5%
Decimal Number
ValueCountFrequency (%)
1 4170
27.6%
2 3348
22.1%
4 1635
 
10.8%
0 1408
 
9.3%
3 1266
 
8.4%
5 989
 
6.5%
6 886
 
5.9%
9 608
 
4.0%
7 455
 
3.0%
8 357
 
2.4%
Other Punctuation
ValueCountFrequency (%)
, 4586
99.8%
. 4
 
0.1%
& 2
 
< 0.1%
/ 1
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
~ 2
66.7%
+ 1
33.3%
Space Separator
ValueCountFrequency (%)
23574
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3731
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3731
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 320
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 85129
62.3%
Common 51074
37.4%
Latin 416
 
0.3%
Han 9
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
마 5586
 
6.6%
포 4690
 
5.5%
서 4572
 
5.4%
동 4018
 
4.7%
울 3887
 
4.6%
로 3860
 
4.5%
시 3815
 
4.5%
구 3719
 
4.4%
특 3661
 
4.3%
별 3660
 
4.3%
Other values (316) 43661
51.3%
Latin
ValueCountFrequency (%)
B 106
25.5%
G 47
11.3%
S 42
 
10.1%
A 32
 
7.7%
C 28
 
6.7%
M 17
 
4.1%
K 15
 
3.6%
s 13
 
3.1%
D 13
 
3.1%
g 11
 
2.6%
Other values (28) 92
22.1%
Common
ValueCountFrequency (%)
23574
46.2%
, 4586
 
9.0%
1 4170
 
8.2%
) 3731
 
7.3%
( 3731
 
7.3%
2 3348
 
6.6%
4 1635
 
3.2%
0 1408
 
2.8%
3 1266
 
2.5%
5 989
 
1.9%
Other values (10) 2636
 
5.2%
Han
ValueCountFrequency (%)
內 4
44.4%
軒 1
 
11.1%
里 1
 
11.1%
怡 1
 
11.1%
和 1
 
11.1%
信 1
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 85128
62.3%
ASCII 51487
37.7%
CJK 8
 
< 0.1%
Number Forms 3
 
< 0.1%
CJK Compat Ideographs 1
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
23574
45.8%
, 4586
 
8.9%
1 4170
 
8.1%
) 3731
 
7.2%
( 3731
 
7.2%
2 3348
 
6.5%
4 1635
 
3.2%
0 1408
 
2.7%
3 1266
 
2.5%
5 989
 
1.9%
Other values (47) 3049
 
5.9%
Hangul
ValueCountFrequency (%)
마 5586
 
6.6%
포 4690
 
5.5%
서 4572
 
5.4%
동 4018
 
4.7%
울 3887
 
4.6%
로 3860
 
4.5%
시 3815
 
4.5%
구 3719
 
4.4%
특 3661
 
4.3%
별 3660
 
4.3%
Other values (315) 43660
51.3%
CJK
ValueCountFrequency (%)
內 4
50.0%
軒 1
 
12.5%
怡 1
 
12.5%
和 1
 
12.5%
信 1
 
12.5%
Number Forms
ValueCountFrequency (%)
Ⅱ 3
100.0%
CJK Compat Ideographs
ValueCountFrequency (%)
里 1
100.0%
Compat Jamo
ValueCountFrequency (%)
ㅈ 1
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct243
Distinct (%)6.7%
Missing880
Missing (%)19.5%
Infinite0
Infinite (%)0.0%
Mean4044.7851
Minimum3900
Maximum8208
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size39.9 KiB
2024-04-30T04:43:48.078889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3900
5-th percentile3927
Q13958
median4036
Q34124
95-th percentile4196
Maximum8208
Range4308
Interquartile range (IQR)166

Descriptive statistics

Standard deviation114.88421
Coefficient of variation (CV)0.028403043
Kurtosis471.92202
Mean4044.7851
Median Absolute Deviation (MAD)86
Skewness13.186797
Sum14739197
Variance13198.381
MonotonicityNot monotonic
2024-04-30T04:43:48.201462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3932 537
 
11.9%
4196 384
 
8.5%
4036 285
 
6.3%
4057 176
 
3.9%
4146 132
 
2.9%
4086 108
 
2.4%
4147 87
 
1.9%
3936 79
 
1.7%
3918 70
 
1.5%
3964 63
 
1.4%
Other values (233) 1723
38.1%
(Missing) 880
19.5%
ValueCountFrequency (%)
3900 3
 
0.1%
3901 41
0.9%
3905 15
 
0.3%
3909 2
 
< 0.1%
3911 1
 
< 0.1%
3913 1
 
< 0.1%
3914 1
 
< 0.1%
3918 70
1.5%
3920 1
 
< 0.1%
3922 1
 
< 0.1%
ValueCountFrequency (%)
8208 1
 
< 0.1%
4214 10
0.2%
4211 5
0.1%
4210 2
 
< 0.1%
4209 6
0.1%
4208 3
 
0.1%
4207 2
 
< 0.1%
4206 1
 
< 0.1%
4205 3
 
0.1%
4204 1
 
< 0.1%

사업장명
Text

Distinct2698
Distinct (%)59.6%
Missing0
Missing (%)0.0%
Memory size35.5 KiB
2024-04-30T04:43:48.406530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length30
Mean length6.688771
Min length1

Characters and Unicode

Total characters30260
Distinct characters818
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2333 ?
Unique (%)51.6%

Sample

1st row현대방아간
2nd row서울방아간
3rd row정미방아간
4th row삼성방앗간
5th row쌍용방아간
ValueCountFrequency (%)
주식회사 316
 
5.7%
장원에프엔비 84
 
1.5%
주)한울에프엔비 79
 
1.4%
주)동명에스티유 75
 
1.3%
경북영농조합(장원 68
 
1.2%
주)케이프라이드 61
 
1.1%
씨엔 61
 
1.1%
줄리앙와플 51
 
0.9%
월드푸드 47
 
0.8%
수라원 46
 
0.8%
Other values (3030) 4681
84.1%
2024-04-30T04:43:48.744647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 1375
 
4.5%
) 1272
 
4.2%
( 1228
 
4.1%
1046
 
3.5%
드 691
 
2.3%
이 663
 
2.2%
에 542
 
1.8%
식 517
 
1.7%
프 486
 
1.6%
원 473
 
1.6%
Other values (808) 21967
72.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 25171
83.2%
Close Punctuation 1272
 
4.2%
Open Punctuation 1228
 
4.1%
Space Separator 1046
 
3.5%
Lowercase Letter 814
 
2.7%
Uppercase Letter 585
 
1.9%
Decimal Number 75
 
0.2%
Other Punctuation 57
 
0.2%
Dash Punctuation 9
 
< 0.1%
Connector Punctuation 1
 
< 0.1%
Other values (2) 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 1375
 
5.5%
드 691
 
2.7%
이 663
 
2.6%
에 542
 
2.2%
식 517
 
2.1%
프 486
 
1.9%
원 473
 
1.9%
스 468
 
1.9%
사 460
 
1.8%
푸 398
 
1.6%
Other values (733) 19098
75.9%
Lowercase Letter
ValueCountFrequency (%)
e 131
16.1%
o 71
 
8.7%
a 61
 
7.5%
i 59
 
7.2%
n 53
 
6.5%
l 49
 
6.0%
t 43
 
5.3%
r 41
 
5.0%
s 39
 
4.8%
u 39
 
4.8%
Other values (16) 228
28.0%
Uppercase Letter
ValueCountFrequency (%)
O 55
 
9.4%
E 51
 
8.7%
M 45
 
7.7%
S 41
 
7.0%
A 41
 
7.0%
C 35
 
6.0%
R 30
 
5.1%
B 29
 
5.0%
T 28
 
4.8%
N 28
 
4.8%
Other values (13) 202
34.5%
Decimal Number
ValueCountFrequency (%)
2 15
20.0%
1 14
18.7%
3 9
12.0%
4 9
12.0%
9 8
10.7%
6 6
 
8.0%
0 5
 
6.7%
7 4
 
5.3%
5 3
 
4.0%
8 2
 
2.7%
Other Punctuation
ValueCountFrequency (%)
& 22
38.6%
. 13
22.8%
? 9
15.8%
, 4
 
7.0%
! 3
 
5.3%
' 3
 
5.3%
; 1
 
1.8%
＇ 1
 
1.8%
: 1
 
1.8%
Close Punctuation
ValueCountFrequency (%)
) 1272
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1228
100.0%
Space Separator
ValueCountFrequency (%)
1046
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 25165
83.2%
Common 3688
 
12.2%
Latin 1400
 
4.6%
Han 7
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 1375
 
5.5%
드 691
 
2.7%
이 663
 
2.6%
에 542
 
2.2%
식 517
 
2.1%
프 486
 
1.9%
원 473
 
1.9%
스 468
 
1.9%
사 460
 
1.8%
푸 398
 
1.6%
Other values (727) 19092
75.9%
Latin
ValueCountFrequency (%)
e 131
 
9.4%
o 71
 
5.1%
a 61
 
4.4%
i 59
 
4.2%
O 55
 
3.9%
n 53
 
3.8%
E 51
 
3.6%
l 49
 
3.5%
M 45
 
3.2%
t 43
 
3.1%
Other values (40) 782
55.9%
Common
ValueCountFrequency (%)
) 1272
34.5%
( 1228
33.3%
1046
28.4%
& 22
 
0.6%
2 15
 
0.4%
1 14
 
0.4%
. 13
 
0.4%
3 9
 
0.2%
4 9
 
0.2%
- 9
 
0.2%
Other values (14) 51
 
1.4%
Han
ValueCountFrequency (%)
美 1
14.3%
味 1
14.3%
品 1
14.3%
食 1
14.3%
愛 1
14.3%
火 1
14.3%
水 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 25164
83.2%
ASCII 5086
 
16.8%
CJK 7
 
< 0.1%
None 2
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 1375
 
5.5%
드 691
 
2.7%
이 663
 
2.6%
에 542
 
2.2%
식 517
 
2.1%
프 486
 
1.9%
원 473
 
1.9%
스 468
 
1.9%
사 460
 
1.8%
푸 398
 
1.6%
Other values (726) 19091
75.9%
ASCII
ValueCountFrequency (%)
) 1272
25.0%
( 1228
24.1%
1046
20.6%
e 131
 
2.6%
o 71
 
1.4%
a 61
 
1.2%
i 59
 
1.2%
O 55
 
1.1%
n 53
 
1.0%
E 51
 
1.0%
Other values (62) 1059
20.8%
CJK
ValueCountFrequency (%)
美 1
14.3%
味 1
14.3%
品 1
14.3%
食 1
14.3%
愛 1
14.3%
火 1
14.3%
水 1
14.3%
None
ValueCountFrequency (%)
＇ 1
50.0%
㈜ 1
50.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

최종수정일자
Date

Distinct3635
Distinct (%)80.3%
Missing0
Missing (%)0.0%
Memory size35.5 KiB
Minimum1999-02-01 00:00:00
Maximum2024-04-25 14:21:07
2024-04-30T04:43:48.861194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:43:48.980925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size35.5 KiB
I
2307 
U
2217 

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 2307
51.0%
U 2217
49.0%

Length

2024-04-30T04:43:49.091470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:43:49.222849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 2307
51.0%
u 2217
49.0%

데이터갱신일자
Date

Distinct1242
Distinct (%)27.5%
Missing0
Missing (%)0.0%
Memory size35.5 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:07:00
2024-04-30T04:43:49.323447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:43:49.438783image/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 size35.5 KiB
즉석판매제조가공업
4524 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
즉석판매제조가공업 4524
100.0%

Length

2024-04-30T04:43:49.546646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:43:49.615880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
즉석판매제조가공업 4524
100.0%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct1383
Distinct (%)33.4%
Missing385
Missing (%)8.5%
Infinite0
Infinite (%)0.0%
Mean193238.77
Minimum189212.74
Maximum196723.03
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size39.9 KiB
2024-04-30T04:43:49.717464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum189212.74
5-th percentile190931
Q1191610.18
median193082.04
Q3195110.46
95-th percentile195808.9
Maximum196723.03
Range7510.295
Interquartile range (IQR)3500.276

Descriptive statistics

Standard deviation1847.8452
Coefficient of variation (CV)0.0095624968
Kurtosis-1.1984729
Mean193238.77
Median Absolute Deviation (MAD)1592.4854
Skewness0.018979192
Sum7.9981529 × 108
Variance3414531.8
MonotonicityNot monotonic
2024-04-30T04:43:49.844331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
191010.381048042 430
 
9.5%
195808.904523588 379
 
8.4%
192311.642580307 283
 
6.3%
194020.023177469 186
 
4.1%
195564.375757848 152
 
3.4%
193905.437192262 123
 
2.7%
194273.598098938 116
 
2.6%
191263.451931121 96
 
2.1%
195509.580070948 86
 
1.9%
190931.000875925 67
 
1.5%
Other values (1373) 2221
49.1%
(Missing) 385
 
8.5%
ValueCountFrequency (%)
189212.737535822 1
 
< 0.1%
189315.310470024 2
 
< 0.1%
189315.370584751 8
 
0.2%
189343.018197048 5
 
0.1%
189343.04418441 50
1.1%
189359.424546588 1
 
< 0.1%
189392.975995366 8
 
0.2%
189520.410979113 5
 
0.1%
189611.288903747 4
 
0.1%
189640.477184701 3
 
0.1%
ValueCountFrequency (%)
196723.032487763 1
< 0.1%
196721.09277056 1
< 0.1%
196718.698373229 1
< 0.1%
196701.597935248 1
< 0.1%
196699.188309549 1
< 0.1%
196697.293849028 1
< 0.1%
196697.038596942 1
< 0.1%
196618.542403885 1
< 0.1%
196605.353597918 1
< 0.1%
196574.272293677 1
< 0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct1383
Distinct (%)33.4%
Missing385
Missing (%)8.5%
Infinite0
Infinite (%)0.0%
Mean450349.62
Minimum445250.54
Maximum453685.55
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size39.9 KiB
2024-04-30T04:43:49.988017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum445250.54
5-th percentile448910.74
Q1449372.5
median450263.99
Q3451114.92
95-th percentile452207.5
Maximum453685.55
Range8435.007
Interquartile range (IQR)1742.4251

Descriptive statistics

Standard deviation1182.2523
Coefficient of variation (CV)0.0026251876
Kurtosis-0.17166145
Mean450349.62
Median Absolute Deviation (MAD)891.49302
Skewness0.6394216
Sum1.8639971 × 109
Variance1397720.4
MonotonicityNot monotonic
2024-04-30T04:43:50.185254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
451972.154018501 430
 
9.5%
448910.741283532 379
 
8.4%
449855.643910445 283
 
6.3%
450426.583343697 186
 
4.1%
449186.933273231 152
 
3.4%
449372.496499689 123
 
2.7%
450318.724130121 116
 
2.6%
452207.500653521 96
 
2.1%
449388.269219974 86
 
1.9%
451427.722144609 67
 
1.5%
Other values (1373) 2221
49.1%
(Missing) 385
 
8.5%
ValueCountFrequency (%)
445250.538868558 1
 
< 0.1%
448125.391869079 1
 
< 0.1%
448236.655548283 9
0.2%
448260.481051368 1
 
< 0.1%
448265.495016598 1
 
< 0.1%
448276.965250949 2
 
< 0.1%
448298.860130793 1
 
< 0.1%
448336.153416428 1
 
< 0.1%
448373.28570163 1
 
< 0.1%
448393.658663222 7
0.2%
ValueCountFrequency (%)
453685.545865753 5
 
0.1%
453648.028553433 1
 
< 0.1%
453647.349314742 8
 
0.2%
453647.190988422 2
 
< 0.1%
453624.945221014 50
1.1%
453624.815904288 5
 
0.1%
453614.583448105 1
 
< 0.1%
453468.379147545 1
 
< 0.1%
453302.04990022 1
 
< 0.1%
453271.198852486 1
 
< 0.1%

위생업태명
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size35.5 KiB
즉석판매제조가공업
3149 
<NA>
1375 

Length

Max length9
Median length9
Mean length7.4803271
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
즉석판매제조가공업 3149
69.6%
<NA> 1375
30.4%

Length

2024-04-30T04:43:50.300038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:43:50.383216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
즉석판매제조가공업 3149
69.6%
na 1375
30.4%

남성종사자수
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size35.5 KiB
<NA>
3983 
0
 
374
1
 
149
2
 
11
3
 
6

Length

Max length4
Median length4
Mean length3.6412467
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 3983
88.0%
0 374
 
8.3%
1 149
 
3.3%
2 11
 
0.2%
3 6
 
0.1%
4 1
 
< 0.1%

Length

2024-04-30T04:43:50.465904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:43:50.561051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3983
88.0%
0 374
 
8.3%
1 149
 
3.3%
2 11
 
0.2%
3 6
 
0.1%
4 1
 
< 0.1%

여성종사자수
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size35.5 KiB
<NA>
3998 
0
 
376
1
 
139
2
 
11

Length

Max length4
Median length4
Mean length3.6511936
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 3998
88.4%
0 376
 
8.3%
1 139
 
3.1%
2 11
 
0.2%

Length

2024-04-30T04:43:50.669186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:43:50.767759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3998
88.4%
0 376
 
8.3%
1 139
 
3.1%
2 11
 
0.2%

영업장주변구분명
Categorical

IMBALANCE 

Distinct7
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size35.5 KiB
<NA>
4139 
기타
 
236
주택가주변
 
121
아파트지역
 
16
유흥업소밀집지역
 
10
Other values (2)
 
2

Length

Max length8
Median length4
Mean length3.9365606
Min length2

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 4139
91.5%
기타 236
 
5.2%
주택가주변 121
 
2.7%
아파트지역 16
 
0.4%
유흥업소밀집지역 10
 
0.2%
학교정화(상대) 1
 
< 0.1%
학교정화(절대) 1
 
< 0.1%

Length

2024-04-30T04:43:50.867899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:43:50.962727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4139
91.5%
기타 236
 
5.2%
주택가주변 121
 
2.7%
아파트지역 16
 
0.4%
유흥업소밀집지역 10
 
0.2%
학교정화(상대 1
 
< 0.1%
학교정화(절대 1
 
< 0.1%

등급구분명
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size35.5 KiB
<NA>
4139 
기타
 
358
우수
 
24
자율
 
3

Length

Max length4
Median length4
Mean length3.8297966
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 4139
91.5%
기타 358
 
7.9%
우수 24
 
0.5%
자율 3
 
0.1%

Length

2024-04-30T04:43:51.071243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:43:51.156669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4139
91.5%
기타 358
 
7.9%
우수 24
 
0.5%
자율 3
 
0.1%

급수시설구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size35.5 KiB
<NA>
4082 
상수도전용
442 

Length

Max length5
Median length4
Mean length4.0977011
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 4082
90.2%
상수도전용 442
 
9.8%

Length

2024-04-30T04:43:51.249251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:43:51.349003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4082
90.2%
상수도전용 442
 
9.8%

총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size35.5 KiB
<NA>
4221 
0
 
303

Length

Max length4
Median length4
Mean length3.7990716
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> 4221
93.3%
0 303
 
6.7%

Length

2024-04-30T04:43:51.451990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:43:51.537377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4221
93.3%
0 303
 
6.7%

본사종업원수
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size35.5 KiB
<NA>
3864 
0
659 
1
 
1

Length

Max length4
Median length4
Mean length3.5623342
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> 3864
85.4%
0 659
 
14.6%
1 1
 
< 0.1%

Length

2024-04-30T04:43:51.618436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:43:51.694628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3864
85.4%
0 659
 
14.6%
1 1
 
< 0.1%

공장사무직종업원수
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size35.5 KiB
<NA>
3864 
0
659 
1
 
1

Length

Max length4
Median length4
Mean length3.5623342
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> 3864
85.4%
0 659
 
14.6%
1 1
 
< 0.1%

Length

2024-04-30T04:43:51.775730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:43:51.873337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3864
85.4%
0 659
 
14.6%
1 1
 
< 0.1%

공장판매직종업원수
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size35.5 KiB
<NA>
3793 
0
659 
1
 
65
2
 
6
4
 
1

Length

Max length4
Median length4
Mean length3.515252
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> 3793
83.8%
0 659
 
14.6%
1 65
 
1.4%
2 6
 
0.1%
4 1
 
< 0.1%

Length

2024-04-30T04:43:51.958747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:43:52.048703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3793
83.8%
0 659
 
14.6%
1 65
 
1.4%
2 6
 
0.1%
4 1
 
< 0.1%

공장생산직종업원수
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size35.5 KiB
<NA>
3865 
0
659 

Length

Max length4
Median length4
Mean length3.5629973
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> 3865
85.4%
0 659
 
14.6%

Length

2024-04-30T04:43:52.149770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:43:52.237164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3865
85.4%
0 659
 
14.6%

건물소유구분명
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size35.5 KiB
<NA>
3142 
임대
839 
자가
543 

Length

Max length4
Median length4
Mean length3.3890363
Min length2

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> 3142
69.5%
임대 839
 
18.5%
자가 543
 
12.0%

Length

2024-04-30T04:43:52.329608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:43:52.418147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3142
69.5%
임대 839
 
18.5%
자가 543
 
12.0%

보증액
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size35.5 KiB
<NA>
4006 
0
515 
500000000
 
1
20000000
 
1
10000000
 
1

Length

Max length9
Median length4
Mean length3.6613616
Min length1

Unique

Unique3 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 4006
88.5%
0 515
 
11.4%
500000000 1
 
< 0.1%
20000000 1
 
< 0.1%
10000000 1
 
< 0.1%

Length

2024-04-30T04:43:52.537627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:43:52.638694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4006
88.5%
0 515
 
11.4%
500000000 1
 
< 0.1%
20000000 1
 
< 0.1%
10000000 1
 
< 0.1%

월세액
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size35.5 KiB
<NA>
4006 
0
515 
9000000
 
1
700000
 
1
400000
 
1

Length

Max length7
Median length4
Mean length3.6600354
Min length1

Unique

Unique3 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 4006
88.5%
0 515
 
11.4%
9000000 1
 
< 0.1%
700000 1
 
< 0.1%
400000 1
 
< 0.1%

Length

2024-04-30T04:43:52.743724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:43:52.832235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4006
88.5%
0 515
 
11.4%
9000000 1
 
< 0.1%
700000 1
 
< 0.1%
400000 1
 
< 0.1%

다중이용업소여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)< 0.1%
Missing1375
Missing (%)30.4%
Memory size9.0 KiB
False
3149 
(Missing)
1375 
ValueCountFrequency (%)
False 3149
69.6%
(Missing) 1375
30.4%
2024-04-30T04:43:53.128624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

MISSING  ZEROS 

Distinct46
Distinct (%)1.5%
Missing1375
Missing (%)30.4%
Infinite0
Infinite (%)0.0%
Mean0.46308987
Minimum0
Maximum73.69
Zeros3070
Zeros (%)67.9%
Negative0
Negative (%)0.0%
Memory size39.9 KiB
2024-04-30T04:43:53.221620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum73.69
Range73.69
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.8876867
Coefficient of variation (CV)8.3951019
Kurtosis131.33699
Mean0.46308987
Median Absolute Deviation (MAD)0
Skewness10.67053
Sum1458.27
Variance15.114108
MonotonicityNot monotonic
2024-04-30T04:43:53.343106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
0.0 3070
67.9%
6.0 10
 
0.2%
3.3 6
 
0.1%
10.0 6
 
0.1%
4.0 5
 
0.1%
33.0 4
 
0.1%
26.4 3
 
0.1%
2.0 3
 
0.1%
3.0 3
 
0.1%
6.6 2
 
< 0.1%
Other values (36) 37
 
0.8%
(Missing) 1375
30.4%
ValueCountFrequency (%)
0.0 3070
67.9%
0.5 1
 
< 0.1%
2.0 3
 
0.1%
3.0 3
 
0.1%
3.3 6
 
0.1%
4.0 5
 
0.1%
4.3 1
 
< 0.1%
5.0 1
 
< 0.1%
6.0 10
 
0.2%
6.59 1
 
< 0.1%
ValueCountFrequency (%)
73.69 1
< 0.1%
68.0 1
< 0.1%
47.6 1
< 0.1%
46.01 1
< 0.1%
44.83 1
< 0.1%
41.94 1
< 0.1%
41.87 1
< 0.1%
41.0 1
< 0.1%
40.0 1
< 0.1%
39.6 1
< 0.1%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4524
Missing (%)100.0%
Memory size39.9 KiB

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4524
Missing (%)100.0%
Memory size39.9 KiB

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4524
Missing (%)100.0%
Memory size39.9 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
031300003130000-107-1964-0013319641204<NA>3폐업2폐업19961029<NA><NA><NA>02 00.0121860서울특별시 마포구 아현동 373-3<NA><NA>현대방아간2001-10-05 00:00:00I2018-08-31 23:59:59.0즉석판매제조가공업196210.771709450329.0443즉석판매제조가공업1<NA>기타기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
131300003130000-107-1969-0006719691211<NA>3폐업2폐업20180329<NA><NA><NA>02 717305126.1121811서울특별시 마포구 대흥동 765-3서울특별시 마포구 토정로25길 20 (대흥동)4159서울방아간2018-03-29 15:09:31I2018-08-31 23:59:59.0즉석판매제조가공업194608.109709449085.442778즉석판매제조가공업00기타기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
231300003130000-107-1969-0007019691204<NA>3폐업2폐업20040318<NA><NA><NA>02 715350531.45121856서울특별시 마포구 신수동 288-1 (1층)<NA><NA>정미방아간2000-12-07 00:00:00I2018-08-31 23:59:59.0즉석판매제조가공업194236.734675449243.162718즉석판매제조가공업11기타우수상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
331300003130000-107-1971-0007319711127<NA>3폐업2폐업20000329<NA><NA><NA>020.0121888서울특별시 마포구 합정동 439-2<NA><NA>삼성방앗간2000-03-29 00:00:00I2018-08-31 23:59:59.0즉석판매제조가공업191697.79584449909.420123즉석판매제조가공업00기타기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
431300003130000-107-1971-0009619710622<NA>3폐업2폐업20050107<NA><NA><NA>02 00.0121874서울특별시 마포구 염리동 364-249<NA><NA>쌍용방아간2000-12-07 00:00:00I2018-08-31 23:59:59.0즉석판매제조가공업<NA><NA>즉석판매제조가공업<NA>1기타기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
531300003130000-107-1972-0007219720719<NA>1영업/정상1영업<NA><NA><NA><NA>02 33747260.0121897서울특별시 마포구 합정동 375-1서울특별시 마포구 양화진길 5 (합정동)4071조흥방아간2012-08-27 09:40:11I2018-08-31 23:59:59.0즉석판매제조가공업192257.393763449554.484192즉석판매제조가공업<NA><NA>기타기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
631300003130000-107-1972-0016019720323<NA>3폐업2폐업20040713<NA><NA><NA>02 324947815.03121841서울특별시 마포구 서교동 450-1 정리지구 80동 52호<NA><NA>삼진기름2000-11-17 00:00:00I2018-08-31 23:59:59.0즉석판매제조가공업<NA><NA>즉석판매제조가공업<NA><NA>기타기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
731300003130000-107-1972-0016219720413<NA>3폐업2폐업20161110<NA><NA><NA>02 336004913.24121807서울특별시 마포구 노고산동 49-55서울특별시 마포구 신촌로 86 (노고산동)<NA>한양상회2016-11-29 16:18:30I2018-08-31 23:59:59.0즉석판매제조가공업194158.36965450273.194141즉석판매제조가공업<NA><NA>기타기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
831300003130000-107-1972-0016319720428<NA>3폐업2폐업20040914<NA><NA><NA>02 012.35121897서울특별시 마포구 합정동 375-1<NA><NA>충남기름집2000-11-17 00:00:00I2018-08-31 23:59:59.0즉석판매제조가공업192257.393763449554.484192즉석판매제조가공업<NA><NA>주택가주변기타<NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
931300003130000-107-1972-0016419720429<NA>3폐업2폐업20020712<NA><NA><NA>02 718560313.41121808서울특별시 마포구 대흥동 16-21 (1층)<NA><NA>황신기름2000-11-17 00:00:00I2018-08-31 23:59:59.0즉석판매제조가공업195109.82932450251.21437즉석판매제조가공업<NA><NA>주택가주변기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
451431300003130000-107-2024-001412024-04-19<NA>1영업/정상1영업<NA><NA><NA><NA><NA>24.12121-865서울특별시 마포구 연남동 223-95서울특별시 마포구 동교로51안길 11, 1층 (연남동)3980티브커피하우스(Teebcoffeehouse)2024-04-19 14:06:25I2023-12-03 22:01:00.0즉석판매제조가공업193282.705475451431.056143<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
451531300003130000-107-2024-001422024-04-19<NA>1영업/정상1영업<NA><NA><NA><NA>055 29287700.0121-849서울특별시 마포구 성산동 515 홈플러스 월드컵점서울특별시 마포구 월드컵로 240, 홈플러스 월드컵점 1층 (성산동)3932오에스푸드2024-04-19 17:21:03I2023-12-03 22:01:00.0즉석판매제조가공업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
451631300003130000-107-2024-001432024-04-22<NA>1영업/정상1영업<NA><NA><NA><NA><NA>130.68121-804서울특별시 마포구 공덕동 370-4 서울창업허브서울특별시 마포구 백범로31길 21, 서울창업허브 3층 (공덕동)4147안스키친2024-04-22 13:25:13I2023-12-03 22:04:00.0즉석판매제조가공업195509.580071449388.26922<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
451731300003130000-107-2024-001442024-04-23<NA>1영업/정상1영업<NA><NA><NA><NA><NA>0.0121-807서울특별시 마포구 노고산동 49-31 농협중앙회 신촌 복합건물서울특별시 마포구 신촌로 66, 농협중앙회 신촌 복합건물 (노고산동)4057(주)대산유통시스템2024-04-23 11:25:26I2023-12-03 22:05:00.0즉석판매제조가공업194020.023177450426.583344<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
451831300003130000-107-2024-001452024-04-23<NA>1영업/정상1영업<NA><NA><NA><NA><NA>0.0121-807서울특별시 마포구 노고산동 49-31 농협중앙회 신촌 복합건물서울특별시 마포구 신촌로 66, 농협중앙회 신촌 복합건물 (노고산동)4057(주)대산유통시스템2024-04-23 13:41:59I2023-12-03 22:05:00.0즉석판매제조가공업194020.023177450426.583344<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
451931300003130000-107-2024-001462024-04-23<NA>1영업/정상1영업<NA><NA><NA><NA><NA>0.0121-030서울특별시 마포구 신공덕동 173 대우 월드마크 마포서울특별시 마포구 백범로 212, 지하2층 (신공덕동, 대우 월드마크 마포)4196주식회사 남선푸드2024-04-23 14:10:00I2023-12-03 22:05:00.0즉석판매제조가공업195808.904524448910.741284<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
452031300003130000-107-2024-001472024-04-23<NA>1영업/정상1영업<NA><NA><NA><NA><NA>130.68121-804서울특별시 마포구 공덕동 370-4 서울창업허브서울특별시 마포구 백범로31길 21, 서울창업허브 3층 (공덕동)4147그랜데이즈2024-04-23 14:31:53I2023-12-03 22:05:00.0즉석판매제조가공업195509.580071449388.26922<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
452131300003130000-107-2024-001482024-04-24<NA>1영업/정상1영업<NA><NA><NA><NA><NA>130.68121-804서울특별시 마포구 공덕동 370-4 서울창업허브서울특별시 마포구 백범로31길 21, 서울창업허브 3층 (공덕동)4147효리픽2024-04-24 11:08:26I2023-12-03 22:06:00.0즉석판매제조가공업195509.580071449388.26922<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
452231300003130000-107-2024-001492024-04-25<NA>1영업/정상1영업<NA><NA><NA><NA><NA>6.6121-895서울특별시 마포구 서교동 411-7서울특별시 마포구 와우산로15길 33, 2층 201호 (서교동)4049스윗도프(sweet dope)2024-04-25 10:07:55I2023-12-03 22:07:00.0즉석판매제조가공업193007.490931449650.437181<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
452331300003130000-107-2024-001502024-04-25<NA>1영업/정상1영업<NA><NA><NA><NA><NA>6.08121-090서울특별시 마포구 염리동 533 마포자이 더 센트리지서울특별시 마포구 숭문길 98, 1층 109호 (염리동, 마포자이 더 센트리지)4127아미까(Amigga)2024-04-25 14:21:07I2023-12-03 22:07:00.0즉석판매제조가공업195382.61494449840.43691<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>