Overview

Dataset statistics

Number of variables44
Number of observations2992
Missing cells26713
Missing cells (%)20.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.1 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
Author강북구
URLhttps://data.seoul.go.kr/dataList/OA-18435/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
다중이용업소여부 has constant value ""Constant
업태구분명 is highly imbalanced (99.2%)Imbalance
위생업태명 is highly imbalanced (56.2%)Imbalance
남성종사자수 is highly imbalanced (70.0%)Imbalance
여성종사자수 is highly imbalanced (71.9%)Imbalance
영업장주변구분명 is highly imbalanced (79.2%)Imbalance
등급구분명 is highly imbalanced (72.4%)Imbalance
급수시설구분명 is highly imbalanced (65.4%)Imbalance
총인원 is highly imbalanced (68.9%)Imbalance
공장판매직종업원수 is highly imbalanced (53.0%)Imbalance
공장생산직종업원수 is highly imbalanced (59.7%)Imbalance
인허가취소일자 has 2992 (100.0%) missing valuesMissing
폐업일자 has 469 (15.7%) missing valuesMissing
휴업시작일자 has 2992 (100.0%) missing valuesMissing
휴업종료일자 has 2992 (100.0%) missing valuesMissing
재개업일자 has 2992 (100.0%) missing valuesMissing
전화번호 has 1440 (48.1%) missing valuesMissing
소재지면적 has 1007 (33.7%) missing valuesMissing
도로명주소 has 753 (25.2%) missing valuesMissing
도로명우편번호 has 764 (25.5%) missing valuesMissing
좌표정보(X) has 121 (4.0%) missing valuesMissing
좌표정보(Y) has 121 (4.0%) missing valuesMissing
다중이용업소여부 has 547 (18.3%) missing valuesMissing
시설총규모 has 547 (18.3%) missing valuesMissing
전통업소지정번호 has 2992 (100.0%) missing valuesMissing
전통업소주된음식 has 2992 (100.0%) missing valuesMissing
홈페이지 has 2992 (100.0%) missing valuesMissing
도로명우편번호 is highly skewed (γ1 = 29.41689015)Skewed
시설총규모 is highly skewed (γ1 = 24.01497464)Skewed
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 326 (10.9%) zerosZeros
시설총규모 has 2429 (81.2%) zerosZeros

Reproduction

Analysis started2024-05-11 04:07:43.334503
Analysis finished2024-05-11 04:07:48.133934
Duration4.8 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size23.5 KiB
3080000
2992 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3080000
2nd row3080000
3rd row3080000
4th row3080000
5th row3080000

Common Values

ValueCountFrequency (%)
3080000 2992
100.0%

Length

2024-05-11T04:07:48.426689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:07:48.686010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3080000 2992
100.0%

관리번호
Text

UNIQUE 

Distinct2992
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size23.5 KiB
2024-05-11T04:07:49.420950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters65824
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

Unique2992 ?
Unique (%)100.0%

Sample

1st row3080000-107-1969-00001
2nd row3080000-107-1969-00002
3rd row3080000-107-1972-00233
4th row3080000-107-1972-00234
5th row3080000-107-1972-00235
ValueCountFrequency (%)
3080000-107-1969-00001 1
 
< 0.1%
3080000-107-2019-00166 1
 
< 0.1%
3080000-107-2019-00158 1
 
< 0.1%
3080000-107-2019-00178 1
 
< 0.1%
3080000-107-2019-00159 1
 
< 0.1%
3080000-107-2019-00160 1
 
< 0.1%
3080000-107-2019-00161 1
 
< 0.1%
3080000-107-2019-00162 1
 
< 0.1%
3080000-107-2019-00163 1
 
< 0.1%
3080000-107-2019-00164 1
 
< 0.1%
Other values (2982) 2982
99.7%
2024-05-11T04:07:50.825702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 30385
46.2%
- 8976
 
13.6%
1 6138
 
9.3%
2 4803
 
7.3%
3 4053
 
6.2%
8 3917
 
6.0%
7 3828
 
5.8%
9 1350
 
2.1%
4 885
 
1.3%
6 794
 
1.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 56848
86.4%
Dash Punctuation 8976
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 30385
53.4%
1 6138
 
10.8%
2 4803
 
8.4%
3 4053
 
7.1%
8 3917
 
6.9%
7 3828
 
6.7%
9 1350
 
2.4%
4 885
 
1.6%
6 794
 
1.4%
5 695
 
1.2%
Dash Punctuation
ValueCountFrequency (%)
- 8976
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 65824
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 30385
46.2%
- 8976
 
13.6%
1 6138
 
9.3%
2 4803
 
7.3%
3 4053
 
6.2%
8 3917
 
6.0%
7 3828
 
5.8%
9 1350
 
2.1%
4 885
 
1.3%
6 794
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 65824
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 30385
46.2%
- 8976
 
13.6%
1 6138
 
9.3%
2 4803
 
7.3%
3 4053
 
6.2%
8 3917
 
6.0%
7 3828
 
5.8%
9 1350
 
2.1%
4 885
 
1.3%
6 794
 
1.2%

인허가일자
Date

Distinct2234
Distinct (%)74.7%
Missing0
Missing (%)0.0%
Memory size23.5 KiB
Minimum1969-11-24 00:00:00
Maximum2024-05-08 00:00:00
2024-05-11T04:07:51.488212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:07:52.104915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2992
Missing (%)100.0%
Memory size26.4 KiB

영업상태코드
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size23.5 KiB
3
2523 
1
469 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 2523
84.3%
1 469
 
15.7%

Length

2024-05-11T04:07:52.741948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:07:53.159240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 2523
84.3%
1 469
 
15.7%

영업상태명
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size23.5 KiB
폐업
2523 
영업/정상
469 

Length

Max length5
Median length2
Mean length2.470254
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 2523
84.3%
영업/정상 469
 
15.7%

Length

2024-05-11T04:07:53.752783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:07:54.332007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 2523
84.3%
영업/정상 469
 
15.7%

상세영업상태코드
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size23.5 KiB
2
2523 
1
469 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 2523
84.3%
1 469
 
15.7%

Length

2024-05-11T04:07:54.816008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:07:55.261125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 2523
84.3%
1 469
 
15.7%

상세영업상태명
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size23.5 KiB
폐업
2523 
영업
469 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 2523
84.3%
영업 469
 
15.7%

Length

2024-05-11T04:07:55.593008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:07:55.912982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 2523
84.3%
영업 469
 
15.7%

폐업일자
Date

MISSING 

Distinct1846
Distinct (%)73.2%
Missing469
Missing (%)15.7%
Memory size23.5 KiB
Minimum1995-08-25 00:00:00
Maximum2024-05-08 00:00:00
2024-05-11T04:07:56.243299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:07:56.728709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2992
Missing (%)100.0%
Memory size26.4 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2992
Missing (%)100.0%
Memory size26.4 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2992
Missing (%)100.0%
Memory size26.4 KiB

전화번호
Text

MISSING 

Distinct1120
Distinct (%)72.2%
Missing1440
Missing (%)48.1%
Memory size23.5 KiB
2024-05-11T04:07:57.782040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length10.918814
Min length2

Characters and Unicode

Total characters16946
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

Unique1003 ?
Unique (%)64.6%

Sample

1st row02 9867564
2nd row02 9802689
3rd row02 9813538
4th row02 9883148
5th row02 9943770
ValueCountFrequency (%)
02 1157
32.0%
031 133
 
3.7%
070 131
 
3.6%
43009589 64
 
1.8%
988 27
 
0.7%
9217 26
 
0.7%
527 26
 
0.7%
032 24
 
0.7%
4358 22
 
0.6%
43666332 22
 
0.6%
Other values (1229) 1978
54.8%
2024-05-11T04:07:58.989407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2876
17.0%
2574
15.2%
2 2148
12.7%
9 2133
12.6%
8 1388
8.2%
3 1124
 
6.6%
5 1052
 
6.2%
4 1005
 
5.9%
7 969
 
5.7%
1 948
 
5.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 14372
84.8%
Space Separator 2574
 
15.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2876
20.0%
2 2148
14.9%
9 2133
14.8%
8 1388
9.7%
3 1124
 
7.8%
5 1052
 
7.3%
4 1005
 
7.0%
7 969
 
6.7%
1 948
 
6.6%
6 729
 
5.1%
Space Separator
ValueCountFrequency (%)
2574
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 16946
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2876
17.0%
2574
15.2%
2 2148
12.7%
9 2133
12.6%
8 1388
8.2%
3 1124
 
6.6%
5 1052
 
6.2%
4 1005
 
5.9%
7 969
 
5.7%
1 948
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 16946
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2876
17.0%
2574
15.2%
2 2148
12.7%
9 2133
12.6%
8 1388
8.2%
3 1124
 
6.6%
5 1052
 
6.2%
4 1005
 
5.9%
7 969
 
5.7%
1 948
 
5.6%

소재지면적
Real number (ℝ)

MISSING  ZEROS 

Distinct647
Distinct (%)32.6%
Missing1007
Missing (%)33.7%
Infinite0
Infinite (%)0.0%
Mean19.486363
Minimum0
Maximum301.14
Zeros326
Zeros (%)10.9%
Negative0
Negative (%)0.0%
Memory size26.4 KiB
2024-05-11T04:07:59.412908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13.73
median16
Q326.4
95-th percentile53.422
Maximum301.14
Range301.14
Interquartile range (IQR)22.67

Descriptive statistics

Standard deviation23.123753
Coefficient of variation (CV)1.1866634
Kurtosis30.904898
Mean19.486363
Median Absolute Deviation (MAD)11.5
Skewness4.1422126
Sum38680.43
Variance534.70794
MonotonicityNot monotonic
2024-05-11T04:07:59.865640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 326
 
10.9%
3.3 58
 
1.9%
10.0 47
 
1.6%
33.0 44
 
1.5%
3.0 43
 
1.4%
30.0 38
 
1.3%
6.6 36
 
1.2%
20.0 32
 
1.1%
6.0 30
 
1.0%
15.0 29
 
1.0%
Other values (637) 1302
43.5%
(Missing) 1007
33.7%
ValueCountFrequency (%)
0.0 326
10.9%
0.7 1
 
< 0.1%
0.9 2
 
0.1%
1.08 2
 
0.1%
1.1 1
 
< 0.1%
1.2 2
 
0.1%
1.32 2
 
0.1%
1.5 5
 
0.2%
1.56 1
 
< 0.1%
1.6 1
 
< 0.1%
ValueCountFrequency (%)
301.14 1
< 0.1%
281.81 1
< 0.1%
208.12 1
< 0.1%
190.0 1
< 0.1%
181.5 1
< 0.1%
179.25 1
< 0.1%
174.9 1
< 0.1%
163.75 1
< 0.1%
151.64 1
< 0.1%
150.08 1
< 0.1%

소재지우편번호
Text

Distinct115
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size23.5 KiB
2024-05-11T04:08:00.390546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.121992
Min length6

Characters and Unicode

Total characters18317
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

Unique16 ?
Unique (%)0.5%

Sample

1st row142818
2nd row142819
3rd row142874
4th row142805
5th row142864
ValueCountFrequency (%)
142804 653
21.8%
142100 257
 
8.6%
142861 208
 
7.0%
142874 202
 
6.8%
142815 106
 
3.5%
142805 98
 
3.3%
142876 85
 
2.8%
142070 78
 
2.6%
142872 73
 
2.4%
142-100 72
 
2.4%
Other values (105) 1160
38.8%
2024-05-11T04:08:01.403287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 3991
21.8%
1 3973
21.7%
2 3302
18.0%
8 2723
14.9%
0 2003
10.9%
7 797
 
4.4%
6 616
 
3.4%
- 365
 
2.0%
5 315
 
1.7%
9 153
 
0.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 17952
98.0%
Dash Punctuation 365
 
2.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 3991
22.2%
1 3973
22.1%
2 3302
18.4%
8 2723
15.2%
0 2003
11.2%
7 797
 
4.4%
6 616
 
3.4%
5 315
 
1.8%
9 153
 
0.9%
3 79
 
0.4%
Dash Punctuation
ValueCountFrequency (%)
- 365
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18317
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 3991
21.8%
1 3973
21.7%
2 3302
18.0%
8 2723
14.9%
0 2003
10.9%
7 797
 
4.4%
6 616
 
3.4%
- 365
 
2.0%
5 315
 
1.7%
9 153
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18317
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 3991
21.8%
1 3973
21.7%
2 3302
18.0%
8 2723
14.9%
0 2003
10.9%
7 797
 
4.4%
6 616
 
3.4%
- 365
 
2.0%
5 315
 
1.7%
9 153
 
0.8%

지번주소
Text

Distinct1577
Distinct (%)52.7%
Missing0
Missing (%)0.0%
Memory size23.5 KiB
2024-05-11T04:08:02.170635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length43
Mean length25.435829
Min length17

Characters and Unicode

Total characters76104
Distinct characters274
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

Unique1306 ?
Unique (%)43.6%

Sample

1st row서울특별시 강북구 미아동 638-28
2nd row서울특별시 강북구 미아동 1344-1
3rd row서울특별시 강북구 수유동 55-34
4th row서울특별시 강북구 미아동 465-1 (지상1층)
5th row서울특별시 강북구 번동 411-93
ValueCountFrequency (%)
서울특별시 2992
19.5%
강북구 2991
19.5%
미아동 1704
 
11.1%
수유동 818
 
5.3%
70-6 627
 
4.1%
롯데백화점 539
 
3.5%
번동 439
 
2.9%
미아점 420
 
2.7%
1359 226
 
1.5%
1층 219
 
1.4%
Other values (1538) 4342
28.3%
2024-05-11T04:08:03.540122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
14738
19.4%
북 3126
 
4.1%
동 3101
 
4.1%
시 3096
 
4.1%
강 3008
 
4.0%
울 2996
 
3.9%
서 2995
 
3.9%
구 2995
 
3.9%
특 2992
 
3.9%
별 2992
 
3.9%
Other values (264) 34065
44.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 44375
58.3%
Space Separator 14738
 
19.4%
Decimal Number 13510
 
17.8%
Dash Punctuation 2675
 
3.5%
Close Punctuation 329
 
0.4%
Open Punctuation 329
 
0.4%
Uppercase Letter 91
 
0.1%
Other Punctuation 31
 
< 0.1%
Math Symbol 13
 
< 0.1%
Lowercase Letter 13
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
북 3126
 
7.0%
동 3101
 
7.0%
시 3096
 
7.0%
강 3008
 
6.8%
울 2996
 
6.8%
서 2995
 
6.7%
구 2995
 
6.7%
특 2992
 
6.7%
별 2992
 
6.7%
아 2262
 
5.1%
Other values (232) 14812
33.4%
Decimal Number
ValueCountFrequency (%)
1 2988
22.1%
6 1507
11.2%
3 1485
11.0%
5 1424
10.5%
7 1359
10.1%
2 1304
9.7%
0 1237
9.2%
4 1026
 
7.6%
8 600
 
4.4%
9 580
 
4.3%
Uppercase Letter
ValueCountFrequency (%)
S 27
29.7%
B 22
24.2%
G 20
22.0%
K 10
 
11.0%
A 7
 
7.7%
O 1
 
1.1%
C 1
 
1.1%
L 1
 
1.1%
F 1
 
1.1%
J 1
 
1.1%
Lowercase Letter
ValueCountFrequency (%)
b 5
38.5%
s 4
30.8%
g 2
 
15.4%
k 2
 
15.4%
Other Punctuation
ValueCountFrequency (%)
, 29
93.5%
. 1
 
3.2%
@ 1
 
3.2%
Space Separator
ValueCountFrequency (%)
14738
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2675
100.0%
Close Punctuation
ValueCountFrequency (%)
) 329
100.0%
Open Punctuation
ValueCountFrequency (%)
( 329
100.0%
Math Symbol
ValueCountFrequency (%)
~ 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 44375
58.3%
Common 31625
41.6%
Latin 104
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
북 3126
 
7.0%
동 3101
 
7.0%
시 3096
 
7.0%
강 3008
 
6.8%
울 2996
 
6.8%
서 2995
 
6.7%
구 2995
 
6.7%
특 2992
 
6.7%
별 2992
 
6.7%
아 2262
 
5.1%
Other values (232) 14812
33.4%
Common
ValueCountFrequency (%)
14738
46.6%
1 2988
 
9.4%
- 2675
 
8.5%
6 1507
 
4.8%
3 1485
 
4.7%
5 1424
 
4.5%
7 1359
 
4.3%
2 1304
 
4.1%
0 1237
 
3.9%
4 1026
 
3.2%
Other values (8) 1882
 
6.0%
Latin
ValueCountFrequency (%)
S 27
26.0%
B 22
21.2%
G 20
19.2%
K 10
 
9.6%
A 7
 
6.7%
b 5
 
4.8%
s 4
 
3.8%
g 2
 
1.9%
k 2
 
1.9%
O 1
 
1.0%
Other values (4) 4
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 44375
58.3%
ASCII 31729
41.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
14738
46.4%
1 2988
 
9.4%
- 2675
 
8.4%
6 1507
 
4.7%
3 1485
 
4.7%
5 1424
 
4.5%
7 1359
 
4.3%
2 1304
 
4.1%
0 1237
 
3.9%
4 1026
 
3.2%
Other values (22) 1986
 
6.3%
Hangul
ValueCountFrequency (%)
북 3126
 
7.0%
동 3101
 
7.0%
시 3096
 
7.0%
강 3008
 
6.8%
울 2996
 
6.8%
서 2995
 
6.7%
구 2995
 
6.7%
특 2992
 
6.7%
별 2992
 
6.7%
아 2262
 
5.1%
Other values (232) 14812
33.4%

도로명주소
Text

MISSING 

Distinct1187
Distinct (%)53.0%
Missing753
Missing (%)25.2%
Memory size23.5 KiB
2024-05-11T04:08:04.253669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length51
Mean length32.797678
Min length21

Characters and Unicode

Total characters73434
Distinct characters268
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

Unique1038 ?
Unique (%)46.4%

Sample

1st row서울특별시 강북구 삼양로74길 81 (수유동)
2nd row서울특별시 강북구 한천로123길 31, 1층 (번동)
3rd row서울특별시 강북구 한천로123길 26 (번동,(지상1층))
4th row서울특별시 강북구 솔샘로 242, 1층 104호 (미아동)
5th row서울특별시 강북구 도봉로97길 76 (수유동)
ValueCountFrequency (%)
서울특별시 2239
15.2%
강북구 2238
15.1%
미아동 1283
 
8.7%
1층 656
 
4.4%
도봉로 628
 
4.3%
62 560
 
3.8%
롯데백화점 483
 
3.3%
수유동 435
 
2.9%
미아점 403
 
2.7%
18 385
 
2.6%
Other values (952) 5465
37.0%
2024-05-11T04:08:05.691470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
12547
 
17.1%
1 2402
 
3.3%
북 2386
 
3.2%
동 2380
 
3.2%
) 2352
 
3.2%
( 2352
 
3.2%
시 2300
 
3.1%
로 2270
 
3.1%
강 2254
 
3.1%
울 2242
 
3.1%
Other values (258) 39949
54.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 44400
60.5%
Space Separator 12547
 
17.1%
Decimal Number 9540
 
13.0%
Close Punctuation 2352
 
3.2%
Open Punctuation 2352
 
3.2%
Other Punctuation 2039
 
2.8%
Dash Punctuation 121
 
0.2%
Uppercase Letter 67
 
0.1%
Lowercase Letter 15
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
북 2386
 
5.4%
동 2380
 
5.4%
시 2300
 
5.2%
로 2270
 
5.1%
강 2254
 
5.1%
울 2242
 
5.0%
서 2242
 
5.0%
구 2242
 
5.0%
특 2239
 
5.0%
별 2239
 
5.0%
Other values (226) 21606
48.7%
Decimal Number
ValueCountFrequency (%)
1 2402
25.2%
2 2132
22.3%
3 1065
11.2%
6 951
 
10.0%
7 727
 
7.6%
4 669
 
7.0%
8 578
 
6.1%
5 367
 
3.8%
0 360
 
3.8%
9 289
 
3.0%
Uppercase Letter
ValueCountFrequency (%)
B 27
40.3%
S 14
20.9%
G 10
 
14.9%
K 6
 
9.0%
A 4
 
6.0%
R 3
 
4.5%
J 1
 
1.5%
O 1
 
1.5%
C 1
 
1.5%
Other Punctuation
ValueCountFrequency (%)
, 2019
99.0%
. 17
 
0.8%
@ 2
 
0.1%
/ 1
 
< 0.1%
Lowercase Letter
ValueCountFrequency (%)
s 5
33.3%
b 5
33.3%
g 4
26.7%
k 1
 
6.7%
Space Separator
ValueCountFrequency (%)
12547
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2352
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2352
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 121
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 44400
60.5%
Common 28952
39.4%
Latin 82
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
북 2386
 
5.4%
동 2380
 
5.4%
시 2300
 
5.2%
로 2270
 
5.1%
강 2254
 
5.1%
울 2242
 
5.0%
서 2242
 
5.0%
구 2242
 
5.0%
특 2239
 
5.0%
별 2239
 
5.0%
Other values (226) 21606
48.7%
Common
ValueCountFrequency (%)
12547
43.3%
1 2402
 
8.3%
) 2352
 
8.1%
( 2352
 
8.1%
2 2132
 
7.4%
, 2019
 
7.0%
3 1065
 
3.7%
6 951
 
3.3%
7 727
 
2.5%
4 669
 
2.3%
Other values (9) 1736
 
6.0%
Latin
ValueCountFrequency (%)
B 27
32.9%
S 14
17.1%
G 10
 
12.2%
K 6
 
7.3%
s 5
 
6.1%
b 5
 
6.1%
g 4
 
4.9%
A 4
 
4.9%
R 3
 
3.7%
J 1
 
1.2%
Other values (3) 3
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 44400
60.5%
ASCII 29034
39.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
12547
43.2%
1 2402
 
8.3%
) 2352
 
8.1%
( 2352
 
8.1%
2 2132
 
7.3%
, 2019
 
7.0%
3 1065
 
3.7%
6 951
 
3.3%
7 727
 
2.5%
4 669
 
2.3%
Other values (22) 1818
 
6.3%
Hangul
ValueCountFrequency (%)
북 2386
 
5.4%
동 2380
 
5.4%
시 2300
 
5.2%
로 2270
 
5.1%
강 2254
 
5.1%
울 2242
 
5.0%
서 2242
 
5.0%
구 2242
 
5.0%
특 2239
 
5.0%
별 2239
 
5.0%
Other values (226) 21606
48.7%

도로명우편번호
Real number (ℝ)

MISSING  SKEWED 

Distinct188
Distinct (%)8.4%
Missing764
Missing (%)25.5%
Infinite0
Infinite (%)0.0%
Mean1159.86
Minimum1000
Maximum6274
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.4 KiB
2024-05-11T04:08:06.201441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1000
5-th percentile1041
Q11110
median1175.5
Q31215
95-th percentile1224
Maximum6274
Range5274
Interquartile range (IQR)105

Descriptive statistics

Standard deviation126.75597
Coefficient of variation (CV)0.10928558
Kurtosis1190.2204
Mean1159.86
Median Absolute Deviation (MAD)48.5
Skewness29.41689
Sum2584168
Variance16067.076
MonotonicityNot monotonic
2024-05-11T04:08:06.796143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1215 555
18.5%
1110 232
 
7.8%
1224 228
 
7.6%
1175 117
 
3.9%
1117 87
 
2.9%
1047 37
 
1.2%
1054 31
 
1.0%
1076 28
 
0.9%
1194 28
 
0.9%
1189 26
 
0.9%
Other values (178) 859
28.7%
(Missing) 764
25.5%
ValueCountFrequency (%)
1000 2
 
0.1%
1002 6
0.2%
1005 6
0.2%
1006 5
0.2%
1009 1
 
< 0.1%
1010 2
 
0.1%
1011 5
0.2%
1012 2
 
0.1%
1014 4
0.1%
1015 3
0.1%
ValueCountFrequency (%)
6274 1
 
< 0.1%
1237 11
0.4%
1236 1
 
< 0.1%
1234 3
 
0.1%
1233 21
0.7%
1232 1
 
< 0.1%
1231 3
 
0.1%
1230 4
 
0.1%
1229 1
 
< 0.1%
1228 2
 
0.1%

사업장명
Text

Distinct1856
Distinct (%)62.0%
Missing0
Missing (%)0.0%
Memory size23.5 KiB
2024-05-11T04:08:07.494655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length23
Mean length6.0210561
Min length1

Characters and Unicode

Total characters18015
Distinct characters665
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1537 ?
Unique (%)51.4%

Sample

1st row북선방아간
2nd row여주방아간
3rd row제일참기름집
4th row신일상회
5th row신일기름집
ValueCountFrequency (%)
주식회사 90
 
2.7%
명류당티에프 75
 
2.3%
티제이푸드 34
 
1.0%
주)명류당티에프 32
 
1.0%
더원씨푸드 28
 
0.8%
마켓인 27
 
0.8%
주)케이프라이드 27
 
0.8%
이스터에그 27
 
0.8%
명류당 26
 
0.8%
주)메르시푸드 22
 
0.7%
Other values (1947) 2913
88.2%
2024-05-11T04:08:08.824438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 625
 
3.5%
) 540
 
3.0%
( 539
 
3.0%
이 453
 
2.5%
드 417
 
2.3%
푸 349
 
1.9%
309
 
1.7%
에 306
 
1.7%
원 305
 
1.7%
식 283
 
1.6%
Other values (655) 13889
77.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 16201
89.9%
Close Punctuation 540
 
3.0%
Open Punctuation 539
 
3.0%
Space Separator 309
 
1.7%
Lowercase Letter 171
 
0.9%
Uppercase Letter 149
 
0.8%
Decimal Number 56
 
0.3%
Other Punctuation 47
 
0.3%
Connector Punctuation 2
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 625
 
3.9%
이 453
 
2.8%
드 417
 
2.6%
푸 349
 
2.2%
에 306
 
1.9%
원 305
 
1.9%
식 283
 
1.7%
산 270
 
1.7%
사 261
 
1.6%
프 252
 
1.6%
Other values (588) 12680
78.3%
Uppercase Letter
ValueCountFrequency (%)
H 20
13.4%
D 14
 
9.4%
B 12
 
8.1%
S 11
 
7.4%
K 9
 
6.0%
M 9
 
6.0%
Y 9
 
6.0%
J 8
 
5.4%
A 7
 
4.7%
R 6
 
4.0%
Other values (13) 44
29.5%
Lowercase Letter
ValueCountFrequency (%)
o 26
15.2%
e 26
15.2%
h 10
 
5.8%
l 10
 
5.8%
a 10
 
5.8%
k 9
 
5.3%
i 9
 
5.3%
n 8
 
4.7%
c 8
 
4.7%
m 8
 
4.7%
Other values (12) 47
27.5%
Decimal Number
ValueCountFrequency (%)
2 17
30.4%
1 11
19.6%
0 8
14.3%
4 5
 
8.9%
9 5
 
8.9%
5 3
 
5.4%
3 2
 
3.6%
6 2
 
3.6%
8 2
 
3.6%
7 1
 
1.8%
Other Punctuation
ValueCountFrequency (%)
& 27
57.4%
. 6
 
12.8%
# 5
 
10.6%
? 4
 
8.5%
, 2
 
4.3%
' 2
 
4.3%
: 1
 
2.1%
Close Punctuation
ValueCountFrequency (%)
) 540
100.0%
Open Punctuation
ValueCountFrequency (%)
( 539
100.0%
Space Separator
ValueCountFrequency (%)
309
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 16198
89.9%
Common 1494
 
8.3%
Latin 320
 
1.8%
Han 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 625
 
3.9%
이 453
 
2.8%
드 417
 
2.6%
푸 349
 
2.2%
에 306
 
1.9%
원 305
 
1.9%
식 283
 
1.7%
산 270
 
1.7%
사 261
 
1.6%
프 252
 
1.6%
Other values (585) 12677
78.3%
Latin
ValueCountFrequency (%)
o 26
 
8.1%
e 26
 
8.1%
H 20
 
6.2%
D 14
 
4.4%
B 12
 
3.8%
S 11
 
3.4%
h 10
 
3.1%
l 10
 
3.1%
a 10
 
3.1%
k 9
 
2.8%
Other values (35) 172
53.8%
Common
ValueCountFrequency (%)
) 540
36.1%
( 539
36.1%
309
20.7%
& 27
 
1.8%
2 17
 
1.1%
1 11
 
0.7%
0 8
 
0.5%
. 6
 
0.4%
4 5
 
0.3%
# 5
 
0.3%
Other values (12) 27
 
1.8%
Han
ValueCountFrequency (%)
作 1
33.3%
花 1
33.3%
人 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 16198
89.9%
ASCII 1814
 
10.1%
CJK 3
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 625
 
3.9%
이 453
 
2.8%
드 417
 
2.6%
푸 349
 
2.2%
에 306
 
1.9%
원 305
 
1.9%
식 283
 
1.7%
산 270
 
1.7%
사 261
 
1.6%
프 252
 
1.6%
Other values (585) 12677
78.3%
ASCII
ValueCountFrequency (%)
) 540
29.8%
( 539
29.7%
309
17.0%
& 27
 
1.5%
o 26
 
1.4%
e 26
 
1.4%
H 20
 
1.1%
2 17
 
0.9%
D 14
 
0.8%
B 12
 
0.7%
Other values (57) 284
15.7%
CJK
ValueCountFrequency (%)
作 1
33.3%
花 1
33.3%
人 1
33.3%

최종수정일자
Date

Distinct2396
Distinct (%)80.1%
Missing0
Missing (%)0.0%
Memory size23.5 KiB
Minimum1999-07-05 00:00:00
Maximum2024-05-09 10:09:41
2024-05-11T04:08:09.494873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:08:10.161052image/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 size23.5 KiB
I
1668 
U
1324 

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 1668
55.7%
U 1324
44.3%

Length

2024-05-11T04:08:10.798900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:08:11.217338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 1668
55.7%
u 1324
44.3%

데이터갱신일자
Date

Distinct965
Distinct (%)32.3%
Missing0
Missing (%)0.0%
Memory size23.5 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:09:00
2024-05-11T04:08:11.580128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:08:12.073771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size23.5 KiB
즉석판매제조가공업
2990 
기타
 
2

Length

Max length9
Median length9
Mean length8.9953209
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
즉석판매제조가공업 2990
99.9%
기타 2
 
0.1%

Length

2024-05-11T04:08:12.659499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:08:13.034959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
즉석판매제조가공업 2990
99.9%
기타 2
 
0.1%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct929
Distinct (%)32.4%
Missing121
Missing (%)4.0%
Infinite0
Infinite (%)0.0%
Mean202224.6
Minimum200358.48
Maximum204083.18
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.4 KiB
2024-05-11T04:08:13.426940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum200358.48
5-th percentile201146.31
Q1201657.69
median202266.45
Q3202625.65
95-th percentile203480.44
Maximum204083.18
Range3724.6976
Interquartile range (IQR)967.95742

Descriptive statistics

Standard deviation675.68978
Coefficient of variation (CV)0.0033412839
Kurtosis-0.45004509
Mean202224.6
Median Absolute Deviation (MAD)373.67187
Skewness0.13799473
Sum5.8058682 × 108
Variance456556.68
MonotonicityNot monotonic
2024-05-11T04:08:14.355044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
202625.646264572 626
20.9%
201494.627293774 226
 
7.6%
203480.440498484 217
 
7.3%
202266.448738483 114
 
3.8%
201956.180985499 98
 
3.3%
202888.313576922 33
 
1.1%
201589.777957863 31
 
1.0%
201602.577531291 23
 
0.8%
202314.47965444 19
 
0.6%
201812.904685238 15
 
0.5%
Other values (919) 1469
49.1%
(Missing) 121
 
4.0%
ValueCountFrequency (%)
200358.479550163 1
< 0.1%
200392.819472385 1
< 0.1%
200429.861888373 1
< 0.1%
200430.066866943 1
< 0.1%
200439.71265741 1
< 0.1%
200500.130999999 2
0.1%
200637.061510053 1
< 0.1%
200643.759544117 2
0.1%
200664.95320546 1
< 0.1%
200697.503265627 1
< 0.1%
ValueCountFrequency (%)
204083.177112537 9
0.3%
203981.35 1
 
< 0.1%
203971.214209973 1
 
< 0.1%
203960.532350205 2
 
0.1%
203932.991517795 1
 
< 0.1%
203923.99792762 1
 
< 0.1%
203821.073410934 1
 
< 0.1%
203812.72109062 1
 
< 0.1%
203727.357668318 2
 
0.1%
203716.006461558 1
 
< 0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct929
Distinct (%)32.4%
Missing121
Missing (%)4.0%
Infinite0
Infinite (%)0.0%
Mean458194.39
Minimum442785.28
Maximum463373.45
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.4 KiB
2024-05-11T04:08:14.873098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum442785.28
5-th percentile456875.97
Q1456875.97
median458136.34
Q3458843.04
95-th percentile460321.76
Maximum463373.45
Range20588.173
Interquartile range (IQR)1967.0641

Descriptive statistics

Standard deviation1233.2028
Coefficient of variation (CV)0.0026914402
Kurtosis7.8509644
Mean458194.39
Median Absolute Deviation (MAD)1128.2479
Skewness-0.1152451
Sum1.3154761 × 109
Variance1520789.1
MonotonicityNot monotonic
2024-05-11T04:08:15.348453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
456875.973976242 626
20.9%
458136.342274236 226
 
7.6%
458423.54511935 217
 
7.3%
457691.802407444 114
 
3.8%
458714.365820521 98
 
3.3%
459197.373185929 33
 
1.1%
457545.100871485 31
 
1.0%
457290.100695375 23
 
0.8%
457821.853133872 19
 
0.6%
459775.992830125 15
 
0.5%
Other values (919) 1469
49.1%
(Missing) 121
 
4.0%
ValueCountFrequency (%)
442785.279277872 1
< 0.1%
456442.951197483 1
< 0.1%
456473.886142136 2
0.1%
456548.098130997 1
< 0.1%
456548.15064817 1
< 0.1%
456549.632160363 2
0.1%
456579.082459363 1
< 0.1%
456586.330666247 2
0.1%
456603.2777024 1
< 0.1%
456622.678015493 1
< 0.1%
ValueCountFrequency (%)
463373.452311656 1
< 0.1%
463240.16478942 1
< 0.1%
462264.905301909 1
< 0.1%
462254.960284729 1
< 0.1%
462247.048606905 1
< 0.1%
462206.93015753 1
< 0.1%
462177.539819356 1
< 0.1%
462165.862769077 1
< 0.1%
461795.889637783 2
0.1%
461784.056436121 2
0.1%

위생업태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size23.5 KiB
즉석판매제조가공업
2443 
<NA>
547 
기타
 
2

Length

Max length9
Median length9
Mean length8.0812166
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
즉석판매제조가공업 2443
81.7%
<NA> 547
 
18.3%
기타 2
 
0.1%

Length

2024-05-11T04:08:15.834516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:08:16.181964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
즉석판매제조가공업 2443
81.7%
na 547
 
18.3%
기타 2
 
0.1%

남성종사자수
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size23.5 KiB
<NA>
2647 
0
282 
1
 
61
2
 
2

Length

Max length4
Median length4
Mean length3.6540775
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2647
88.5%
0 282
 
9.4%
1 61
 
2.0%
2 2
 
0.1%

Length

2024-05-11T04:08:16.530715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:08:16.878221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2647
88.5%
0 282
 
9.4%
1 61
 
2.0%
2 2
 
0.1%

여성종사자수
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size23.5 KiB
<NA>
2666 
0
282 
1
 
43
3
 
1

Length

Max length4
Median length4
Mean length3.6731283
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2666
89.1%
0 282
 
9.4%
1 43
 
1.4%
3 1
 
< 0.1%

Length

2024-05-11T04:08:17.266961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:08:17.603543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2666
89.1%
0 282
 
9.4%
1 43
 
1.4%
3 1
 
< 0.1%

영업장주변구분명
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size23.5 KiB
<NA>
2781 
주택가주변
 
176
기타
 
34
아파트지역
 
1

Length

Max length5
Median length4
Mean length4.0364305
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2781
92.9%
주택가주변 176
 
5.9%
기타 34
 
1.1%
아파트지역 1
 
< 0.1%

Length

2024-05-11T04:08:18.093407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:08:18.730222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2781
92.9%
주택가주변 176
 
5.9%
기타 34
 
1.1%
아파트지역 1
 
< 0.1%

등급구분명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size23.5 KiB
<NA>
2781 
기타
 
115
자율
 
96

Length

Max length4
Median length4
Mean length3.8589572
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2781
92.9%
기타 115
 
3.8%
자율 96
 
3.2%

Length

2024-05-11T04:08:19.350043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:08:19.925288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2781
92.9%
기타 115
 
3.8%
자율 96
 
3.2%

급수시설구분명
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size23.5 KiB
<NA>
2446 
상수도전용
544 
상수도(음용)지하수(주방용)겸용
 
1
간이상수도
 
1

Length

Max length17
Median length4
Mean length4.1864973
Min length4

Unique

Unique2 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2446
81.8%
상수도전용 544
 
18.2%
상수도(음용)지하수(주방용)겸용 1
 
< 0.1%
간이상수도 1
 
< 0.1%

Length

2024-05-11T04:08:20.545425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:08:21.147722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2446
81.8%
상수도전용 544
 
18.2%
상수도(음용)지하수(주방용)겸용 1
 
< 0.1%
간이상수도 1
 
< 0.1%

총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size23.5 KiB
<NA>
2825 
0
 
167

Length

Max length4
Median length4
Mean length3.8325535
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> 2825
94.4%
0 167
 
5.6%

Length

2024-05-11T04:08:22.076153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:08:22.561731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2825
94.4%
0 167
 
5.6%

본사종업원수
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size23.5 KiB
<NA>
2025 
0
967 

Length

Max length4
Median length4
Mean length3.0304144
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2025
67.7%
0 967
32.3%

Length

2024-05-11T04:08:23.016614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:08:23.293849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2025
67.7%
0 967
32.3%

공장사무직종업원수
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size23.5 KiB
<NA>
2025 
0
966 
1
 
1

Length

Max length4
Median length4
Mean length3.0304144
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2025
67.7%
0 966
32.3%
1 1
 
< 0.1%

Length

2024-05-11T04:08:23.637640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:08:24.082616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2025
67.7%
0 966
32.3%
1 1
 
< 0.1%

공장판매직종업원수
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size23.5 KiB
<NA>
2023 
0
958 
1
 
9
2
 
2

Length

Max length4
Median length4
Mean length3.0284091
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2023
67.6%
0 958
32.0%
1 9
 
0.3%
2 2
 
0.1%

Length

2024-05-11T04:08:24.542091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:08:24.929636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2023
67.6%
0 958
32.0%
1 9
 
0.3%
2 2
 
0.1%

공장생산직종업원수
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size23.5 KiB
<NA>
2024 
0
959 
1
 
7
3
 
1
2
 
1

Length

Max length4
Median length4
Mean length3.0294118
Min length1

Unique

Unique2 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2024
67.6%
0 959
32.1%
1 7
 
0.2%
3 1
 
< 0.1%
2 1
 
< 0.1%

Length

2024-05-11T04:08:25.312136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:08:25.665715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2024
67.6%
0 959
32.1%
1 7
 
0.2%
3 1
 
< 0.1%
2 1
 
< 0.1%

건물소유구분명
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size23.5 KiB
<NA>
1772 
자가
819 
임대
401 

Length

Max length4
Median length4
Mean length3.184492
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> 1772
59.2%
자가 819
27.4%
임대 401
 
13.4%

Length

2024-05-11T04:08:26.167494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:08:26.605660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1772
59.2%
자가 819
27.4%
임대 401
 
13.4%

보증액
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size23.5 KiB
<NA>
2591 
0
401 

Length

Max length4
Median length4
Mean length3.5979278
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> 2591
86.6%
0 401
 
13.4%

Length

2024-05-11T04:08:26.983669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:08:27.347647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2591
86.6%
0 401
 
13.4%

월세액
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size23.5 KiB
<NA>
2591 
0
401 

Length

Max length4
Median length4
Mean length3.5979278
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> 2591
86.6%
0 401
 
13.4%

Length

2024-05-11T04:08:27.844313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:08:28.292731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2591
86.6%
0 401
 
13.4%

다중이용업소여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)< 0.1%
Missing547
Missing (%)18.3%
Memory size6.0 KiB
False
2445 
(Missing)
547 
ValueCountFrequency (%)
False 2445
81.7%
(Missing) 547
 
18.3%
2024-05-11T04:08:28.553863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct15
Distinct (%)0.6%
Missing547
Missing (%)18.3%
Infinite0
Infinite (%)0.0%
Mean0.19312883
Minimum0
Maximum120
Zeros2429
Zeros (%)81.2%
Negative0
Negative (%)0.0%
Memory size26.4 KiB
2024-05-11T04:08:28.856568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum120
Range120
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.5700051
Coefficient of variation (CV)18.485096
Kurtosis660.86039
Mean0.19312883
Median Absolute Deviation (MAD)0
Skewness24.014975
Sum472.2
Variance12.744936
MonotonicityNot monotonic
2024-05-11T04:08:29.377815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0.0 2429
81.2%
66.0 2
 
0.1%
6.0 2
 
0.1%
45.0 1
 
< 0.1%
1.5 1
 
< 0.1%
6.6 1
 
< 0.1%
3.0 1
 
< 0.1%
10.0 1
 
< 0.1%
3.3 1
 
< 0.1%
4.0 1
 
< 0.1%
Other values (5) 5
 
0.2%
(Missing) 547
 
18.3%
ValueCountFrequency (%)
0.0 2429
81.2%
1.5 1
 
< 0.1%
3.0 1
 
< 0.1%
3.3 1
 
< 0.1%
4.0 1
 
< 0.1%
6.0 2
 
0.1%
6.6 1
 
< 0.1%
10.0 1
 
< 0.1%
10.4 1
 
< 0.1%
26.4 1
 
< 0.1%
ValueCountFrequency (%)
120.0 1
< 0.1%
66.0 2
0.1%
60.0 1
< 0.1%
45.0 1
< 0.1%
38.0 1
< 0.1%
26.4 1
< 0.1%
10.4 1
< 0.1%
10.0 1
< 0.1%
6.6 1
< 0.1%
6.0 2
0.1%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2992
Missing (%)100.0%
Memory size26.4 KiB

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2992
Missing (%)100.0%
Memory size26.4 KiB

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2992
Missing (%)100.0%
Memory size26.4 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
030800003080000-107-1969-0000119691124<NA>3폐업2폐업20021001<NA><NA><NA>02 986756437.47142818서울특별시 강북구 미아동 638-28<NA><NA>북선방아간2002-01-07 00:00:00I2018-08-31 23:59:59.0즉석판매제조가공업<NA><NA>즉석판매제조가공업<NA><NA><NA><NA>상수도전용<NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
130800003080000-107-1969-0000219691124<NA>3폐업2폐업20120223<NA><NA><NA>02 980268935.0142819서울특별시 강북구 미아동 1344-1<NA><NA>여주방아간2009-04-15 09:05:16I2018-08-31 23:59:59.0즉석판매제조가공업201583.265648457472.388508즉석판매제조가공업<NA><NA><NA><NA>상수도전용<NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
230800003080000-107-1972-0023319720909<NA>1영업/정상1영업<NA><NA><NA><NA>02 981353816.36142874서울특별시 강북구 수유동 55-34서울특별시 강북구 삼양로74길 81 (수유동)1117제일참기름집2002-07-25 00:00:00I2018-08-31 23:59:59.0즉석판매제조가공업201909.458658458674.021951즉석판매제조가공업11기타기타상수도전용<NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
330800003080000-107-1972-0023419721102<NA>1영업/정상1영업<NA><NA><NA><NA>02 988314814.85142805서울특별시 강북구 미아동 465-1 (지상1층)<NA><NA>신일상회2002-01-09 00:00:00I2018-08-31 23:59:59.0즉석판매제조가공업<NA><NA>즉석판매제조가공업<NA><NA><NA><NA>상수도전용<NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
430800003080000-107-1972-0023519720602<NA>1영업/정상1영업<NA><NA><NA><NA>02 994377014.7142864서울특별시 강북구 번동 411-93서울특별시 강북구 한천로123길 31, 1층 (번동)1068신일기름집2014-12-01 09:43:42I2018-08-31 23:59:59.0즉석판매제조가공업202603.404449459285.078612즉석판매제조가공업<NA><NA><NA><NA>상수도전용<NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
530800003080000-107-1972-0023619720612<NA>3폐업2폐업20190620<NA><NA><NA>0215.51142864서울특별시 강북구 번동 413-3 (지상1층)서울특별시 강북구 한천로123길 26 (번동,(지상1층))1066다정기름집2019-06-20 13:34:43U2019-06-22 02:40:00.0즉석판매제조가공업202608.934104459320.030765즉석판매제조가공업<NA><NA><NA><NA>상수도전용<NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
630800003080000-107-1972-0023719720520<NA>3폐업2폐업20060523<NA><NA><NA>02 902650615.77142864서울특별시 강북구 번동 413-3 (지상1층)<NA><NA>포항제유2002-01-08 00:00:00I2018-08-31 23:59:59.0즉석판매제조가공업202608.934104459320.030765즉석판매제조가공업<NA><NA><NA><NA>상수도전용<NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
730800003080000-107-1974-0000119741016<NA>1영업/정상1영업<NA><NA><NA><NA>02 980060031.0142819서울특별시 강북구 미아동 1346-2 (미아동 1346-1외 2필지)서울특별시 강북구 솔샘로 242, 1층 104호 (미아동)1194대성상회2020-05-12 14:36:40U2020-05-14 02:40:00.0즉석판매제조가공업201657.925692457473.641745즉석판매제조가공업<NA><NA><NA><NA>상수도전용<NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
830800003080000-107-1974-0000219740816<NA>3폐업2폐업20090319<NA><NA><NA>02 902974712.24142870서울특별시 강북구 수유동 405-5<NA><NA>화계기름집2002-07-29 00:00:00I2018-08-31 23:59:59.0즉석판매제조가공업<NA><NA>즉석판매제조가공업<NA><NA><NA><NA>상수도전용<NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
930800003080000-107-1974-0000319740515<NA>3폐업2폐업20180327<NA><NA><NA>02 905454527.88142876서울특별시 강북구 수유동 170-105서울특별시 강북구 도봉로97길 76 (수유동)1052종로기름집2018-03-27 13:38:43I2018-08-31 23:59:59.0즉석판매제조가공업202207.129373460126.554747즉석판매제조가공업<NA><NA><NA><NA>상수도전용<NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
298230800003080000-107-2024-000732024-04-30<NA>1영업/정상1영업<NA><NA><NA><NA><NA>10.0142-060서울특별시 강북구 번동 655-4<NA><NA>쥬쥬#2024-04-30 11:33:43I2023-12-05 00:03:00.0즉석판매제조가공업202897.169699459699.895147<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
298330800003080000-107-2024-000742024-04-30<NA>1영업/정상1영업<NA><NA><NA><NA><NA>0.0142-804서울특별시 강북구 미아동 70-6 롯데백화점 미아점서울특별시 강북구 도봉로 62, 롯데백화점 미아점 지하2층 (미아동)1215미르2024-04-30 11:49:38I2023-12-05 00:03:00.0즉석판매제조가공업202625.646265456875.973976<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
298430800003080000-107-2024-000752024-04-30<NA>3폐업2폐업2024-05-06<NA><NA><NA><NA>0.0142-100서울특별시 강북구 미아동 1359 롯데마트 삼양점서울특별시 강북구 삼양로 247, 롯데마트 삼양점 지하1층 (미아동)1110(주)해원에스디2024-05-07 04:15:10U2023-12-05 00:09:00.0즉석판매제조가공업201494.627294458136.342274<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
298530800003080000-107-2024-000762024-05-01<NA>1영업/정상1영업<NA><NA><NA><NA><NA>0.0142-861서울특별시 강북구 번동 161-1서울특별시 강북구 오현로32길 18, 1층 (번동)1224(주)케이프라이드2024-05-01 14:24:18I2023-12-05 00:03:00.0즉석판매제조가공업203480.440498458423.545119<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
298630800003080000-107-2024-000772024-05-02<NA>3폐업2폐업2024-05-04<NA><NA><NA><NA>10.0142-861서울특별시 강북구 번동 90 북서울꿈의숲서울특별시 강북구 월계로 173, 북서울꿈의숲 1층 (번동)1228고향떡집2024-05-05 04:15:27U2023-12-05 00:08:00.0즉석판매제조가공업203565.427701457714.884022<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
298730800003080000-107-2024-000782024-05-03<NA>1영업/정상1영업<NA><NA><NA><NA><NA>0.0142-815서울특별시 강북구 미아동 318-5 성북프라자서울특별시 강북구 도봉로33길 18 (미아동, 성북프라자)1175옥수식품2024-05-07 09:15:00I2023-12-05 00:09:00.0즉석판매제조가공업202266.448738457691.802407<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
298830800003080000-107-2024-000792024-05-07<NA>1영업/정상1영업<NA><NA><NA><NA><NA>27.0142-815서울특별시 강북구 미아동 318-5 성북프라자서울특별시 강북구 도봉로33길 18, 1층 110호 중 일부호 (미아동, 성북프라자)1175김박사 식품개발연구소2024-05-07 10:39:38I2023-12-05 00:09:00.0즉석판매제조가공업202266.448738457691.802407<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
298930800003080000-107-2024-000802024-05-07<NA>1영업/정상1영업<NA><NA><NA><NA><NA>0.0142-804서울특별시 강북구 미아동 70-6 롯데백화점 미아점서울특별시 강북구 도봉로 62, 롯데백화점 미아점 지하2층 (미아동)1215아이올2024-05-07 16:26:15I2023-12-05 00:09:00.0즉석판매제조가공업202625.646265456875.973976<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
299030800003080000-107-2024-000812024-05-08<NA>1영업/정상1영업<NA><NA><NA><NA><NA>0.0142-804서울특별시 강북구 미아동 70-6 롯데백화점 미아점서울특별시 강북구 도봉로 62, 롯데백화점 미아점 지하2층 (미아동)1215(주)미르2024-05-09 10:09:41I2023-12-04 23:01:00.0즉석판매제조가공업202625.646265456875.973976<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
299130800003080000-107-4988-0000119881111<NA>3폐업2폐업20070322<NA><NA><NA>02 981130012.6142804서울특별시 강북구 미아동 52-58 (지상1층)<NA><NA>영남기름집2002-01-09 00:00:00I2018-08-31 23:59:59.0즉석판매제조가공업202902.02754456688.044422즉석판매제조가공업<NA><NA><NA><NA>상수도전용<NA>0000<NA><NA><NA>N0.0<NA><NA><NA>