Overview

Dataset statistics

Number of variables44
Number of observations4332
Missing cells38218
Missing cells (%)20.1%
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
Author중랑구
URLhttps://data.seoul.go.kr/dataList/OA-18433/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
다중이용업소여부 has constant value ""Constant
업태구분명 is highly imbalanced (87.7%)Imbalance
위생업태명 is highly imbalanced (52.5%)Imbalance
남성종사자수 is highly imbalanced (69.9%)Imbalance
여성종사자수 is highly imbalanced (66.9%)Imbalance
영업장주변구분명 is highly imbalanced (76.8%)Imbalance
등급구분명 is highly imbalanced (78.2%)Imbalance
총인원 is highly imbalanced (69.2%)Imbalance
공장판매직종업원수 is highly imbalanced (58.2%)Imbalance
공장생산직종업원수 is highly imbalanced (54.0%)Imbalance
보증액 is highly imbalanced (63.0%)Imbalance
월세액 is highly imbalanced (70.6%)Imbalance
인허가취소일자 has 4332 (100.0%) missing valuesMissing
폐업일자 has 530 (12.2%) missing valuesMissing
휴업시작일자 has 4332 (100.0%) missing valuesMissing
휴업종료일자 has 4332 (100.0%) missing valuesMissing
재개업일자 has 4332 (100.0%) missing valuesMissing
전화번호 has 2488 (57.4%) missing valuesMissing
소재지면적 has 1082 (25.0%) missing valuesMissing
도로명주소 has 1046 (24.1%) missing valuesMissing
도로명우편번호 has 1078 (24.9%) missing valuesMissing
다중이용업소여부 has 795 (18.4%) missing valuesMissing
시설총규모 has 795 (18.4%) missing valuesMissing
전통업소지정번호 has 4332 (100.0%) missing valuesMissing
전통업소주된음식 has 4332 (100.0%) missing valuesMissing
홈페이지 has 4332 (100.0%) missing valuesMissing
도로명우편번호 is highly skewed (γ1 = 23.72467636)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 99 (2.3%) zerosZeros
시설총규모 has 2789 (64.4%) zerosZeros

Reproduction

Analysis started2024-05-11 02:15:55.383501
Analysis finished2024-05-11 02:15:59.808140
Duration4.42 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size34.0 KiB
3060000
4332 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3060000
2nd row3060000
3rd row3060000
4th row3060000
5th row3060000

Common Values

ValueCountFrequency (%)
3060000 4332
100.0%

Length

2024-05-11T02:16:00.193858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:16:00.829368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3060000 4332
100.0%

관리번호
Text

UNIQUE 

Distinct4332
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size34.0 KiB
2024-05-11T02:16:01.544094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters95304
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

Unique4332 ?
Unique (%)100.0%

Sample

1st row3060000-107-1972-00179
2nd row3060000-107-1973-00053
3rd row3060000-107-1975-00180
4th row3060000-107-1976-00052
5th row3060000-107-1976-00181
ValueCountFrequency (%)
3060000-107-1972-00179 1
 
< 0.1%
3060000-107-2019-00202 1
 
< 0.1%
3060000-107-2019-00253 1
 
< 0.1%
3060000-107-2019-00205 1
 
< 0.1%
3060000-107-2019-00190 1
 
< 0.1%
3060000-107-2019-00191 1
 
< 0.1%
3060000-107-2019-00192 1
 
< 0.1%
3060000-107-2019-00193 1
 
< 0.1%
3060000-107-2019-00194 1
 
< 0.1%
3060000-107-2019-00195 1
 
< 0.1%
Other values (4322) 4322
99.8%
2024-05-11T02:16:02.524930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 43062
45.2%
- 12996
 
13.6%
1 8895
 
9.3%
2 7326
 
7.7%
6 5884
 
6.2%
3 5861
 
6.1%
7 5657
 
5.9%
9 2032
 
2.1%
8 1263
 
1.3%
4 1173
 
1.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 82308
86.4%
Dash Punctuation 12996
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 43062
52.3%
1 8895
 
10.8%
2 7326
 
8.9%
6 5884
 
7.1%
3 5861
 
7.1%
7 5657
 
6.9%
9 2032
 
2.5%
8 1263
 
1.5%
4 1173
 
1.4%
5 1155
 
1.4%
Dash Punctuation
ValueCountFrequency (%)
- 12996
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 95304
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 43062
45.2%
- 12996
 
13.6%
1 8895
 
9.3%
2 7326
 
7.7%
6 5884
 
6.2%
3 5861
 
6.1%
7 5657
 
5.9%
9 2032
 
2.1%
8 1263
 
1.3%
4 1173
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 95304
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 43062
45.2%
- 12996
 
13.6%
1 8895
 
9.3%
2 7326
 
7.7%
6 5884
 
6.2%
3 5861
 
6.1%
7 5657
 
5.9%
9 2032
 
2.1%
8 1263
 
1.3%
4 1173
 
1.2%

인허가일자
Date

Distinct2661
Distinct (%)61.4%
Missing0
Missing (%)0.0%
Memory size34.0 KiB
Minimum1972-05-10 00:00:00
Maximum2024-05-09 00:00:00
2024-05-11T02:16:03.152499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:16:03.858074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4332
Missing (%)100.0%
Memory size38.2 KiB

영업상태코드
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size34.0 KiB
3
3802 
1
530 

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 3802
87.8%
1 530
 
12.2%

Length

2024-05-11T02:16:04.497368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:16:04.919558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 3802
87.8%
1 530
 
12.2%

영업상태명
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size34.0 KiB
폐업
3802 
영업/정상
530 

Length

Max length5
Median length2
Mean length2.367036
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 3802
87.8%
영업/정상 530
 
12.2%

Length

2024-05-11T02:16:05.444680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:16:05.900358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 3802
87.8%
영업/정상 530
 
12.2%

상세영업상태코드
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size34.0 KiB
2
3802 
1
530 

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 3802
87.8%
1 530
 
12.2%

Length

2024-05-11T02:16:06.336028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:16:06.705046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 3802
87.8%
1 530
 
12.2%

상세영업상태명
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size34.0 KiB
폐업
3802 
영업
530 

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 3802
87.8%
영업 530
 
12.2%

Length

2024-05-11T02:16:07.205485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:16:07.604210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 3802
87.8%
영업 530
 
12.2%

폐업일자
Date

MISSING 

Distinct2448
Distinct (%)64.4%
Missing530
Missing (%)12.2%
Memory size34.0 KiB
Minimum1996-11-13 00:00:00
Maximum2024-05-08 00:00:00
2024-05-11T02:16:07.957088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:16:08.494986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4332
Missing (%)100.0%
Memory size38.2 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4332
Missing (%)100.0%
Memory size38.2 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4332
Missing (%)100.0%
Memory size38.2 KiB

전화번호
Text

MISSING 

Distinct1270
Distinct (%)68.9%
Missing2488
Missing (%)57.4%
Memory size34.0 KiB
2024-05-11T02:16:09.089510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length10.606833
Min length2

Characters and Unicode

Total characters19559
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

Unique1101 ?
Unique (%)59.7%

Sample

1st row0204340059
2nd row02 4324449
3rd row0204343784
4th row0204333662
5th row02 4343370
ValueCountFrequency (%)
02 1082
28.1%
031 241
 
6.3%
032 49
 
1.3%
070 49
 
1.3%
051 27
 
0.7%
062 26
 
0.7%
2775 25
 
0.6%
246 24
 
0.6%
3114992 23
 
0.6%
434 23
 
0.6%
Other values (1392) 2286
59.3%
2024-05-11T02:16:10.110482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3288
16.8%
2 2934
15.0%
2358
12.1%
4 1910
9.8%
3 1908
9.8%
9 1397
7.1%
1 1380
7.1%
5 1217
 
6.2%
7 1217
 
6.2%
8 1053
 
5.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 17201
87.9%
Space Separator 2358
 
12.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3288
19.1%
2 2934
17.1%
4 1910
11.1%
3 1908
11.1%
9 1397
8.1%
1 1380
8.0%
5 1217
 
7.1%
7 1217
 
7.1%
8 1053
 
6.1%
6 897
 
5.2%
Space Separator
ValueCountFrequency (%)
2358
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 19559
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3288
16.8%
2 2934
15.0%
2358
12.1%
4 1910
9.8%
3 1908
9.8%
9 1397
7.1%
1 1380
7.1%
5 1217
 
6.2%
7 1217
 
6.2%
8 1053
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 19559
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3288
16.8%
2 2934
15.0%
2358
12.1%
4 1910
9.8%
3 1908
9.8%
9 1397
7.1%
1 1380
7.1%
5 1217
 
6.2%
7 1217
 
6.2%
8 1053
 
5.4%

소재지면적
Real number (ℝ)

MISSING  ZEROS 

Distinct698
Distinct (%)21.5%
Missing1082
Missing (%)25.0%
Infinite0
Infinite (%)0.0%
Mean18.028345
Minimum0
Maximum606
Zeros99
Zeros (%)2.3%
Negative0
Negative (%)0.0%
Memory size38.2 KiB
2024-05-11T02:16:10.551012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q14
median9.9
Q324.8
95-th percentile50.363
Maximum606
Range606
Interquartile range (IQR)20.8

Descriptive statistics

Standard deviation26.090325
Coefficient of variation (CV)1.4471836
Kurtosis122.8903
Mean18.028345
Median Absolute Deviation (MAD)6.9
Skewness8.0642871
Sum58592.12
Variance680.70508
MonotonicityNot monotonic
2024-05-11T02:16:11.072764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.3 345
 
8.0%
3.0 302
 
7.0%
6.6 254
 
5.9%
9.9 130
 
3.0%
10.0 108
 
2.5%
33.0 107
 
2.5%
5.0 102
 
2.4%
0.0 99
 
2.3%
6.0 77
 
1.8%
26.4 54
 
1.2%
Other values (688) 1672
38.6%
(Missing) 1082
25.0%
ValueCountFrequency (%)
0.0 99
2.3%
0.36 1
 
< 0.1%
0.5 1
 
< 0.1%
0.66 1
 
< 0.1%
1.0 2
 
< 0.1%
1.08 1
 
< 0.1%
1.25 1
 
< 0.1%
1.5 5
 
0.1%
1.64 1
 
< 0.1%
1.65 2
 
< 0.1%
ValueCountFrequency (%)
606.0 1
 
< 0.1%
448.4 1
 
< 0.1%
300.0 1
 
< 0.1%
266.0 1
 
< 0.1%
255.27 1
 
< 0.1%
254.26 1
 
< 0.1%
231.0 1
 
< 0.1%
225.06 4
0.1%
212.7 3
0.1%
188.56 1
 
< 0.1%

소재지우편번호
Text

Distinct146
Distinct (%)3.4%
Missing3
Missing (%)0.1%
Memory size34.0 KiB
2024-05-11T02:16:11.703154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.1138831
Min length6

Characters and Unicode

Total characters26467
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

Unique21 ?
Unique (%)0.5%

Sample

1st row131828
2nd row131876
3rd row131828
4th row131120
5th row131813
ValueCountFrequency (%)
131809 644
 
14.9%
131822 371
 
8.6%
131872 330
 
7.6%
131220 309
 
7.1%
131848 300
 
6.9%
131816 195
 
4.5%
131828 142
 
3.3%
131827 91
 
2.1%
131-220 81
 
1.9%
131866 80
 
1.8%
Other values (136) 1786
41.3%
2024-05-11T02:16:12.693776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 9378
35.4%
3 4659
17.6%
8 4652
17.6%
2 2665
 
10.1%
0 1519
 
5.7%
9 801
 
3.0%
7 787
 
3.0%
6 705
 
2.7%
- 493
 
1.9%
4 464
 
1.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 25974
98.1%
Dash Punctuation 493
 
1.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 9378
36.1%
3 4659
17.9%
8 4652
17.9%
2 2665
 
10.3%
0 1519
 
5.8%
9 801
 
3.1%
7 787
 
3.0%
6 705
 
2.7%
4 464
 
1.8%
5 344
 
1.3%
Dash Punctuation
ValueCountFrequency (%)
- 493
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 26467
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 9378
35.4%
3 4659
17.6%
8 4652
17.6%
2 2665
 
10.1%
0 1519
 
5.7%
9 801
 
3.0%
7 787
 
3.0%
6 705
 
2.7%
- 493
 
1.9%
4 464
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 26467
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 9378
35.4%
3 4659
17.6%
8 4652
17.6%
2 2665
 
10.1%
0 1519
 
5.7%
9 801
 
3.0%
7 787
 
3.0%
6 705
 
2.7%
- 493
 
1.9%
4 464
 
1.8%

지번주소
Text

Distinct1721
Distinct (%)39.8%
Missing3
Missing (%)0.1%
Memory size34.0 KiB
2024-05-11T02:16:13.406228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length37
Mean length24.098637
Min length14

Characters and Unicode

Total characters104323
Distinct characters306
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1351 ?
Unique (%)31.2%

Sample

1st row서울특별시 중랑구 면목동 650-0
2nd row서울특별시 중랑구 중화동 155-1
3rd row서울특별시 중랑구 면목동 612-63
4th row서울특별시 중랑구 중화동 산 314-1
5th row서울특별시 중랑구 면목동 428-2
ValueCountFrequency (%)
서울특별시 4329
20.3%
중랑구 4328
20.3%
면목동 1400
 
6.6%
망우동 949
 
4.5%
신내동 621
 
2.9%
506-1 601
 
2.8%
상봉동 577
 
2.7%
묵동 540
 
2.5%
168-2 430
 
2.0%
500 388
 
1.8%
Other values (1646) 7142
33.5%
2024-05-11T02:16:14.666134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
20466
19.6%
동 4686
 
4.5%
중 4596
 
4.4%
서 4525
 
4.3%
울 4523
 
4.3%
시 4355
 
4.2%
랑 4344
 
4.2%
구 4334
 
4.2%
특 4329
 
4.1%
별 4329
 
4.1%
Other values (296) 43836
42.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 61748
59.2%
Space Separator 20466
 
19.6%
Decimal Number 17938
 
17.2%
Dash Punctuation 3542
 
3.4%
Uppercase Letter 381
 
0.4%
Close Punctuation 117
 
0.1%
Open Punctuation 116
 
0.1%
Other Punctuation 9
 
< 0.1%
Lowercase Letter 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 4686
 
7.6%
중 4596
 
7.4%
서 4525
 
7.3%
울 4523
 
7.3%
시 4355
 
7.1%
랑 4344
 
7.0%
구 4334
 
7.0%
특 4329
 
7.0%
별 4329
 
7.0%
목 1512
 
2.4%
Other values (258) 20215
32.7%
Uppercase Letter
ValueCountFrequency (%)
E 341
89.5%
B 8
 
2.1%
S 5
 
1.3%
L 5
 
1.3%
H 3
 
0.8%
M 3
 
0.8%
G 2
 
0.5%
O 2
 
0.5%
V 2
 
0.5%
A 2
 
0.5%
Other values (7) 8
 
2.1%
Decimal Number
ValueCountFrequency (%)
1 3887
21.7%
0 2702
15.1%
6 2442
13.6%
5 2240
12.5%
2 1556
8.7%
4 1489
 
8.3%
8 1052
 
5.9%
3 1032
 
5.8%
7 1026
 
5.7%
9 512
 
2.9%
Lowercase Letter
ValueCountFrequency (%)
e 2
33.3%
r 1
16.7%
t 1
16.7%
n 1
16.7%
c 1
16.7%
Other Punctuation
ValueCountFrequency (%)
, 8
88.9%
: 1
 
11.1%
Space Separator
ValueCountFrequency (%)
20466
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3542
100.0%
Close Punctuation
ValueCountFrequency (%)
) 117
100.0%
Open Punctuation
ValueCountFrequency (%)
( 116
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 61748
59.2%
Common 42188
40.4%
Latin 387
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 4686
 
7.6%
중 4596
 
7.4%
서 4525
 
7.3%
울 4523
 
7.3%
시 4355
 
7.1%
랑 4344
 
7.0%
구 4334
 
7.0%
특 4329
 
7.0%
별 4329
 
7.0%
목 1512
 
2.4%
Other values (258) 20215
32.7%
Latin
ValueCountFrequency (%)
E 341
88.1%
B 8
 
2.1%
S 5
 
1.3%
L 5
 
1.3%
H 3
 
0.8%
M 3
 
0.8%
G 2
 
0.5%
O 2
 
0.5%
e 2
 
0.5%
V 2
 
0.5%
Other values (12) 14
 
3.6%
Common
ValueCountFrequency (%)
20466
48.5%
1 3887
 
9.2%
- 3542
 
8.4%
0 2702
 
6.4%
6 2442
 
5.8%
5 2240
 
5.3%
2 1556
 
3.7%
4 1489
 
3.5%
8 1052
 
2.5%
3 1032
 
2.4%
Other values (6) 1780
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 61748
59.2%
ASCII 42575
40.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
20466
48.1%
1 3887
 
9.1%
- 3542
 
8.3%
0 2702
 
6.3%
6 2442
 
5.7%
5 2240
 
5.3%
2 1556
 
3.7%
4 1489
 
3.5%
8 1052
 
2.5%
3 1032
 
2.4%
Other values (28) 2167
 
5.1%
Hangul
ValueCountFrequency (%)
동 4686
 
7.6%
중 4596
 
7.4%
서 4525
 
7.3%
울 4523
 
7.3%
시 4355
 
7.1%
랑 4344
 
7.0%
구 4334
 
7.0%
특 4329
 
7.0%
별 4329
 
7.0%
목 1512
 
2.4%
Other values (258) 20215
32.7%

도로명주소
Text

MISSING 

Distinct1460
Distinct (%)44.4%
Missing1046
Missing (%)24.1%
Memory size34.0 KiB
2024-05-11T02:16:15.297993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length50
Mean length32.998783
Min length21

Characters and Unicode

Total characters108434
Distinct characters323
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1218 ?
Unique (%)37.1%

Sample

1st row서울특별시 중랑구 면목로56길 12 (면목동)
2nd row서울특별시 중랑구 용마산로 494 (망우동)
3rd row서울특별시 중랑구 중랑역로49길 6 (묵동)
4th row서울특별시 중랑구 면목로29길 23 (면목동)
5th row서울특별시 중랑구 동일로102길 31 (면목동)
ValueCountFrequency (%)
서울특별시 3286
 
15.0%
중랑구 3285
 
15.0%
1층 976
 
4.4%
면목동 928
 
4.2%
망우동 745
 
3.4%
상봉로 528
 
2.4%
상봉동 521
 
2.4%
118 511
 
2.3%
상봉점 446
 
2.0%
망우로 434
 
2.0%
Other values (1101) 10274
46.8%
2024-05-11T02:16:16.631063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
18650
 
17.2%
1 4368
 
4.0%
동 4248
 
3.9%
중 3558
 
3.3%
서 3481
 
3.2%
울 3476
 
3.2%
랑 3380
 
3.1%
로 3333
 
3.1%
) 3326
 
3.1%
( 3326
 
3.1%
Other values (313) 57288
52.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 65475
60.4%
Space Separator 18650
 
17.2%
Decimal Number 13514
 
12.5%
Close Punctuation 3326
 
3.1%
Open Punctuation 3326
 
3.1%
Other Punctuation 3263
 
3.0%
Dash Punctuation 466
 
0.4%
Uppercase Letter 406
 
0.4%
Lowercase Letter 7
 
< 0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 4248
 
6.5%
중 3558
 
5.4%
서 3481
 
5.3%
울 3476
 
5.3%
랑 3380
 
5.2%
로 3333
 
5.1%
시 3314
 
5.1%
구 3290
 
5.0%
별 3286
 
5.0%
특 3286
 
5.0%
Other values (272) 30823
47.1%
Uppercase Letter
ValueCountFrequency (%)
E 327
80.5%
B 38
 
9.4%
A 7
 
1.7%
S 7
 
1.7%
L 5
 
1.2%
M 3
 
0.7%
H 3
 
0.7%
R 2
 
0.5%
V 2
 
0.5%
O 2
 
0.5%
Other values (8) 10
 
2.5%
Decimal Number
ValueCountFrequency (%)
1 4368
32.3%
3 2324
17.2%
2 1672
 
12.4%
5 1007
 
7.5%
4 841
 
6.2%
8 807
 
6.0%
0 765
 
5.7%
9 764
 
5.7%
6 494
 
3.7%
7 472
 
3.5%
Lowercase Letter
ValueCountFrequency (%)
e 2
28.6%
c 2
28.6%
r 1
14.3%
t 1
14.3%
n 1
14.3%
Other Punctuation
ValueCountFrequency (%)
, 3261
99.9%
: 1
 
< 0.1%
. 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
18650
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3326
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3326
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 466
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 65476
60.4%
Common 42545
39.2%
Latin 413
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 4248
 
6.5%
중 3558
 
5.4%
서 3481
 
5.3%
울 3476
 
5.3%
랑 3380
 
5.2%
로 3333
 
5.1%
시 3314
 
5.1%
구 3290
 
5.0%
별 3286
 
5.0%
특 3286
 
5.0%
Other values (273) 30824
47.1%
Latin
ValueCountFrequency (%)
E 327
79.2%
B 38
 
9.2%
A 7
 
1.7%
S 7
 
1.7%
L 5
 
1.2%
M 3
 
0.7%
H 3
 
0.7%
R 2
 
0.5%
e 2
 
0.5%
V 2
 
0.5%
Other values (13) 17
 
4.1%
Common
ValueCountFrequency (%)
18650
43.8%
1 4368
 
10.3%
) 3326
 
7.8%
( 3326
 
7.8%
, 3261
 
7.7%
3 2324
 
5.5%
2 1672
 
3.9%
5 1007
 
2.4%
4 841
 
2.0%
8 807
 
1.9%
Other values (7) 2963
 
7.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 65475
60.4%
ASCII 42958
39.6%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
18650
43.4%
1 4368
 
10.2%
) 3326
 
7.7%
( 3326
 
7.7%
, 3261
 
7.6%
3 2324
 
5.4%
2 1672
 
3.9%
5 1007
 
2.3%
4 841
 
2.0%
8 807
 
1.9%
Other values (30) 3376
 
7.9%
Hangul
ValueCountFrequency (%)
동 4248
 
6.5%
중 3558
 
5.4%
서 3481
 
5.3%
울 3476
 
5.3%
랑 3380
 
5.2%
로 3333
 
5.1%
시 3314
 
5.1%
구 3290
 
5.0%
별 3286
 
5.0%
특 3286
 
5.0%
Other values (272) 30823
47.1%
None
ValueCountFrequency (%)
㈜ 1
100.0%

도로명우편번호
Real number (ℝ)

MISSING  SKEWED 

Distinct221
Distinct (%)6.8%
Missing1078
Missing (%)24.9%
Infinite0
Infinite (%)0.0%
Mean2128.3762
Minimum2001
Maximum6949
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.2 KiB
2024-05-11T02:16:17.257364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2001
5-th percentile2024
Q12064
median2133.5
Q32169
95-th percentile2239
Maximum6949
Range4948
Interquartile range (IQR)105

Descriptive statistics

Standard deviation113.23745
Coefficient of variation (CV)0.053203684
Kurtosis1008.8366
Mean2128.3762
Median Absolute Deviation (MAD)64.5
Skewness23.724676
Sum6925736
Variance12822.72
MonotonicityNot monotonic
2024-05-11T02:16:17.772860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2169 508
11.7%
2087 390
 
9.0%
2236 289
 
6.7%
2033 287
 
6.6%
2024 255
 
5.9%
2239 115
 
2.7%
2067 75
 
1.7%
2162 69
 
1.6%
2161 66
 
1.5%
2240 50
 
1.2%
Other values (211) 1150
26.5%
(Missing) 1078
24.9%
ValueCountFrequency (%)
2001 4
 
0.1%
2003 1
 
< 0.1%
2004 10
0.2%
2005 6
 
0.1%
2006 4
 
0.1%
2007 8
0.2%
2008 7
 
0.2%
2009 19
0.4%
2010 1
 
< 0.1%
2011 4
 
0.1%
ValueCountFrequency (%)
6949 1
 
< 0.1%
2262 1
 
< 0.1%
2260 1
 
< 0.1%
2257 1
 
< 0.1%
2256 2
< 0.1%
2255 2
< 0.1%
2253 1
 
< 0.1%
2252 2
< 0.1%
2250 3
0.1%
2249 4
0.1%

사업장명
Text

Distinct2261
Distinct (%)52.2%
Missing0
Missing (%)0.0%
Memory size34.0 KiB
2024-05-11T02:16:18.589540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length23
Mean length6.429132
Min length1

Characters and Unicode

Total characters27851
Distinct characters698
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1874 ?
Unique (%)43.3%

Sample

1st row고바우기름집
2nd row여주방앗간
3rd row대구방앗간
4th row태능방앗간
5th row화산제유
ValueCountFrequency (%)
주식회사 209
 
4.1%
장원에프엔비 108
 
2.1%
수라원 101
 
2.0%
주)동명에스티유 70
 
1.4%
주)한울에프엔비 69
 
1.4%
경북영농조합(장원 68
 
1.3%
주)케이프라이드 64
 
1.3%
주)아일랜드수산 57
 
1.1%
농촌사랑(주 50
 
1.0%
주)미트원 49
 
1.0%
Other values (2416) 4202
83.3%
2024-05-11T02:16:20.066852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 1407
 
5.1%
) 1276
 
4.6%
( 1256
 
4.5%
원 748
 
2.7%
717
 
2.6%
이 559
 
2.0%
드 491
 
1.8%
산 482
 
1.7%
사 457
 
1.6%
식 442
 
1.6%
Other values (688) 20016
71.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 24063
86.4%
Close Punctuation 1277
 
4.6%
Open Punctuation 1257
 
4.5%
Space Separator 717
 
2.6%
Lowercase Letter 284
 
1.0%
Uppercase Letter 145
 
0.5%
Decimal Number 75
 
0.3%
Other Punctuation 28
 
0.1%
Dash Punctuation 4
 
< 0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 1407
 
5.8%
원 748
 
3.1%
이 559
 
2.3%
드 491
 
2.0%
산 482
 
2.0%
사 457
 
1.9%
식 442
 
1.8%
에 421
 
1.7%
수 410
 
1.7%
프 383
 
1.6%
Other values (622) 18263
75.9%
Lowercase Letter
ValueCountFrequency (%)
a 36
12.7%
e 35
12.3%
o 27
 
9.5%
y 20
 
7.0%
r 19
 
6.7%
n 17
 
6.0%
t 16
 
5.6%
b 13
 
4.6%
m 12
 
4.2%
c 11
 
3.9%
Other values (12) 78
27.5%
Uppercase Letter
ValueCountFrequency (%)
B 14
 
9.7%
O 12
 
8.3%
E 10
 
6.9%
A 10
 
6.9%
L 9
 
6.2%
C 9
 
6.2%
R 8
 
5.5%
M 8
 
5.5%
N 7
 
4.8%
H 7
 
4.8%
Other values (12) 51
35.2%
Decimal Number
ValueCountFrequency (%)
1 15
20.0%
2 13
17.3%
0 12
16.0%
3 11
14.7%
5 8
10.7%
9 7
9.3%
4 4
 
5.3%
8 2
 
2.7%
7 2
 
2.7%
6 1
 
1.3%
Other Punctuation
ValueCountFrequency (%)
. 10
35.7%
& 10
35.7%
, 5
17.9%
' 2
 
7.1%
! 1
 
3.6%
Close Punctuation
ValueCountFrequency (%)
) 1276
99.9%
] 1
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 1256
99.9%
[ 1
 
0.1%
Space Separator
ValueCountFrequency (%)
717
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 24061
86.4%
Common 3358
 
12.1%
Latin 429
 
1.5%
Han 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 1407
 
5.8%
원 748
 
3.1%
이 559
 
2.3%
드 491
 
2.0%
산 482
 
2.0%
사 457
 
1.9%
식 442
 
1.8%
에 421
 
1.7%
수 410
 
1.7%
프 383
 
1.6%
Other values (620) 18261
75.9%
Latin
ValueCountFrequency (%)
a 36
 
8.4%
e 35
 
8.2%
o 27
 
6.3%
y 20
 
4.7%
r 19
 
4.4%
n 17
 
4.0%
t 16
 
3.7%
B 14
 
3.3%
b 13
 
3.0%
O 12
 
2.8%
Other values (34) 220
51.3%
Common
ValueCountFrequency (%)
) 1276
38.0%
( 1256
37.4%
717
21.4%
1 15
 
0.4%
2 13
 
0.4%
0 12
 
0.4%
3 11
 
0.3%
. 10
 
0.3%
& 10
 
0.3%
5 8
 
0.2%
Other values (11) 30
 
0.9%
Han
ValueCountFrequency (%)
蘭 1
33.3%
林 1
33.3%
米 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 24060
86.4%
ASCII 3787
 
13.6%
CJK 2
 
< 0.1%
None 1
 
< 0.1%
CJK Compat Ideographs 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 1407
 
5.8%
원 748
 
3.1%
이 559
 
2.3%
드 491
 
2.0%
산 482
 
2.0%
사 457
 
1.9%
식 442
 
1.8%
에 421
 
1.7%
수 410
 
1.7%
프 383
 
1.6%
Other values (619) 18260
75.9%
ASCII
ValueCountFrequency (%)
) 1276
33.7%
( 1256
33.2%
717
18.9%
a 36
 
1.0%
e 35
 
0.9%
o 27
 
0.7%
y 20
 
0.5%
r 19
 
0.5%
n 17
 
0.4%
t 16
 
0.4%
Other values (55) 368
 
9.7%
CJK
ValueCountFrequency (%)
蘭 1
50.0%
米 1
50.0%
None
ValueCountFrequency (%)
㈜ 1
100.0%
CJK Compat Ideographs
ValueCountFrequency (%)
林 1
100.0%

최종수정일자
Date

Distinct3131
Distinct (%)72.3%
Missing0
Missing (%)0.0%
Memory size34.0 KiB
Minimum1999-03-20 00:00:00
Maximum2024-05-09 16:16:15
2024-05-11T02:16:20.758489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:16:21.426152image/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 size34.0 KiB
I
2403 
U
1929 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 2403
55.5%
U 1929
44.5%

Length

2024-05-11T02:16:21.853665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:16:22.292019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 2403
55.5%
u 1929
44.5%

데이터갱신일자
Date

Distinct1120
Distinct (%)25.9%
Missing0
Missing (%)0.0%
Memory size34.0 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:09:00
2024-05-11T02:16:22.893243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:16:23.964590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size34.0 KiB
즉석판매제조가공업
4205 
<NA>
 
124
기타
 
3

Length

Max length9
Median length9
Mean length8.8520314
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
즉석판매제조가공업 4205
97.1%
<NA> 124
 
2.9%
기타 3
 
0.1%

Length

2024-05-11T02:16:24.459020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:16:24.849303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
즉석판매제조가공업 4205
97.1%
na 124
 
2.9%
기타 3
 
0.1%

좌표정보(X)
Real number (ℝ)

Distinct1149
Distinct (%)26.8%
Missing37
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean207707.65
Minimum194168.62
Maximum209931.17
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.2 KiB
2024-05-11T02:16:25.342671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum194168.62
5-th percentile206702.63
Q1207089.22
median207923.75
Q3208183.56
95-th percentile208693.14
Maximum209931.17
Range15762.55
Interquartile range (IQR)1094.3423

Descriptive statistics

Standard deviation707.59022
Coefficient of variation (CV)0.0034066643
Kurtosis30.106155
Mean207707.65
Median Absolute Deviation (MAD)439.9097
Skewness-1.634251
Sum8.9210434 × 108
Variance500683.92
MonotonicityNot monotonic
2024-05-11T02:16:25.913568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
208183.558935157 602
 
13.9%
207923.745922676 389
 
9.0%
207089.21659098 348
 
8.0%
208208.786684767 332
 
7.7%
206777.731391054 280
 
6.5%
207553.170404939 122
 
2.8%
207090.86716546 81
 
1.9%
208508.136740226 38
 
0.9%
208380.034120278 36
 
0.8%
207897.260402153 32
 
0.7%
Other values (1139) 2035
47.0%
(Missing) 37
 
0.9%
ValueCountFrequency (%)
194168.622819312 1
< 0.1%
206213.24452808 1
< 0.1%
206260.298575831 1
< 0.1%
206264.85197789 1
< 0.1%
206273.05830197 1
< 0.1%
206296.725620359 1
< 0.1%
206297.016274369 1
< 0.1%
206297.841470404 2
< 0.1%
206308.666676598 1
< 0.1%
206316.270834781 1
< 0.1%
ValueCountFrequency (%)
209931.172836 1
 
< 0.1%
209856.1161416 1
 
< 0.1%
209797.539198377 1
 
< 0.1%
209579.542671166 1
 
< 0.1%
209519.890499435 7
0.2%
209500.286764629 1
 
< 0.1%
209494.169530519 3
0.1%
209493.910124005 3
0.1%
209478.477207992 1
 
< 0.1%
209475.230649494 1
 
< 0.1%

좌표정보(Y)
Real number (ℝ)

Distinct1149
Distinct (%)26.8%
Missing37
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean454958.29
Minimum444678.48
Maximum457446.48
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.2 KiB
2024-05-11T02:16:26.376257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum444678.48
5-th percentile453031.12
Q1454116.74
median454911.25
Q3455910.82
95-th percentile457054.79
Maximum457446.48
Range12767.998
Interquartile range (IQR)1794.0871

Descriptive statistics

Standard deviation1329.3832
Coefficient of variation (CV)0.0029219893
Kurtosis-0.13084376
Mean454958.29
Median Absolute Deviation (MAD)902.99728
Skewness-0.05360579
Sum1.9540458 × 109
Variance1767259.8
MonotonicityNot monotonic
2024-05-11T02:16:26.937911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
454911.24852306 602
 
13.9%
455090.718335439 389
 
9.0%
453074.476763597 348
 
8.0%
457054.793655589 332
 
7.7%
456837.219624564 280
 
6.5%
453031.11581883 122
 
2.8%
453072.936040777 81
 
1.9%
455974.025798176 38
 
0.9%
455961.728036456 36
 
0.8%
454953.363448013 32
 
0.7%
Other values (1139) 2035
47.0%
(Missing) 37
 
0.9%
ValueCountFrequency (%)
444678.481723971 1
< 0.1%
452075.948613979 1
< 0.1%
452077.782812274 1
< 0.1%
452139.898151971 1
< 0.1%
452140.038653386 1
< 0.1%
452160.826169813 1
< 0.1%
452186.032772906 1
< 0.1%
452192.158991451 1
< 0.1%
452208.729385467 1
< 0.1%
452220.855970255 1
< 0.1%
ValueCountFrequency (%)
457446.479605 1
 
< 0.1%
457438.909754748 7
0.2%
457300.590845829 4
0.1%
457293.047459164 1
 
< 0.1%
457283.760348663 7
0.2%
457283.215342184 1
 
< 0.1%
457277.97713295 1
 
< 0.1%
457244.303803004 3
0.1%
457241.017531876 1
 
< 0.1%
457238.200826068 1
 
< 0.1%

위생업태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size34.0 KiB
즉석판매제조가공업
3411 
<NA>
918 
기타
 
3

Length

Max length9
Median length9
Mean length7.9355956
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
즉석판매제조가공업 3411
78.7%
<NA> 918
 
21.2%
기타 3
 
0.1%

Length

2024-05-11T02:16:27.435102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:16:27.926003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
즉석판매제조가공업 3411
78.7%
na 918
 
21.2%
기타 3
 
0.1%

남성종사자수
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size34.0 KiB
<NA>
3766 
0
 
354
1
 
202
2
 
7
3
 
3

Length

Max length4
Median length4
Mean length3.6080332
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 3766
86.9%
0 354
 
8.2%
1 202
 
4.7%
2 7
 
0.2%
3 3
 
0.1%

Length

2024-05-11T02:16:28.604827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:16:29.125941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3766
86.9%
0 354
 
8.2%
1 202
 
4.7%
2 7
 
0.2%
3 3
 
0.1%

여성종사자수
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size34.0 KiB
<NA>
3795 
0
 
369
1
 
161
2
 
7

Length

Max length4
Median length4
Mean length3.6281163
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 3795
87.6%
0 369
 
8.5%
1 161
 
3.7%
2 7
 
0.2%

Length

2024-05-11T02:16:29.724645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:16:30.272035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3795
87.6%
0 369
 
8.5%
1 161
 
3.7%
2 7
 
0.2%

영업장주변구분명
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size34.0 KiB
<NA>
3957 
주택가주변
 
198
기타
 
149
아파트지역
 
26
학교정화(절대)
 
2

Length

Max length8
Median length4
Mean length3.9847645
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 3957
91.3%
주택가주변 198
 
4.6%
기타 149
 
3.4%
아파트지역 26
 
0.6%
학교정화(절대) 2
 
< 0.1%

Length

2024-05-11T02:16:30.788005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:16:31.434755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3957
91.3%
주택가주변 198
 
4.6%
기타 149
 
3.4%
아파트지역 26
 
0.6%
학교정화(절대 2
 
< 0.1%

등급구분명
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size34.0 KiB
<NA>
3957 
기타
 
255
자율
 
118
관리
 
1
갑
 
1

Length

Max length4
Median length4
Mean length3.826639
Min length1

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 3957
91.3%
기타 255
 
5.9%
자율 118
 
2.7%
관리 1
 
< 0.1%
갑 1
 
< 0.1%

Length

2024-05-11T02:16:32.204265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:16:32.735878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3957
91.3%
기타 255
 
5.9%
자율 118
 
2.7%
관리 1
 
< 0.1%
갑 1
 
< 0.1%

급수시설구분명
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size34.0 KiB
<NA>
3733 
상수도전용
599 

Length

Max length5
Median length4
Mean length4.1382733
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 3733
86.2%
상수도전용 599
 
13.8%

Length

2024-05-11T02:16:33.160066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:16:33.628411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3733
86.2%
상수도전용 599
 
13.8%

총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size34.0 KiB
<NA>
4093 
0
 
239

Length

Max length4
Median length4
Mean length3.8344875
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> 4093
94.5%
0 239
 
5.5%

Length

2024-05-11T02:16:34.209547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:16:34.674926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4093
94.5%
0 239
 
5.5%

본사종업원수
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size34.0 KiB
<NA>
3194 
0
1138 

Length

Max length4
Median length4
Mean length3.2119114
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 3194
73.7%
0 1138
 
26.3%

Length

2024-05-11T02:16:35.134493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:16:35.579843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3194
73.7%
0 1138
 
26.3%

공장사무직종업원수
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size34.0 KiB
<NA>
3194 
0
1138 

Length

Max length4
Median length4
Mean length3.2119114
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 3194
73.7%
0 1138
 
26.3%

Length

2024-05-11T02:16:35.911414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:16:36.293597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3194
73.7%
0 1138
 
26.3%

공장판매직종업원수
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size34.0 KiB
<NA>
3145 
0
1094 
1
 
79
2
 
13
3
 
1

Length

Max length4
Median length4
Mean length3.1779778
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 3145
72.6%
0 1094
 
25.3%
1 79
 
1.8%
2 13
 
0.3%
3 1
 
< 0.1%

Length

2024-05-11T02:16:36.776142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:16:37.267700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3145
72.6%
0 1094
 
25.3%
1 79
 
1.8%
2 13
 
0.3%
3 1
 
< 0.1%

공장생산직종업원수
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size34.0 KiB
<NA>
3167 
0
1110 
1
 
49
2
 
6

Length

Max length4
Median length4
Mean length3.1932133
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 3167
73.1%
0 1110
 
25.6%
1 49
 
1.1%
2 6
 
0.1%

Length

2024-05-11T02:16:37.690328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:16:38.075756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3167
73.1%
0 1110
 
25.6%
1 49
 
1.1%
2 6
 
0.1%

건물소유구분명
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size34.0 KiB
<NA>
1899 
자가
1507 
임대
926 

Length

Max length4
Median length2
Mean length2.8767313
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> 1899
43.8%
자가 1507
34.8%
임대 926
21.4%

Length

2024-05-11T02:16:38.553861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:16:39.114116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1899
43.8%
자가 1507
34.8%
임대 926
21.4%

보증액
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size34.0 KiB
<NA>
3728 
0
602 
10000000
 
2

Length

Max length8
Median length4
Mean length3.5849492
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> 3728
86.1%
0 602
 
13.9%
10000000 2
 
< 0.1%

Length

2024-05-11T02:16:39.522218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:16:39.892596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3728
86.1%
0 602
 
13.9%
10000000 2
 
< 0.1%

월세액
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size34.0 KiB
<NA>
3728 
0
602 
200000
 
1
1100000
 
1

Length

Max length7
Median length4
Mean length3.5842567
Min length1

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 3728
86.1%
0 602
 
13.9%
200000 1
 
< 0.1%
1100000 1
 
< 0.1%

Length

2024-05-11T02:16:40.287371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:16:40.770035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3728
86.1%
0 602
 
13.9%
200000 1
 
< 0.1%
1100000 1
 
< 0.1%

다중이용업소여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)< 0.1%
Missing795
Missing (%)18.4%
Memory size8.6 KiB
False
3537 
(Missing)
795 
ValueCountFrequency (%)
False 3537
81.6%
(Missing) 795
 
18.4%
2024-05-11T02:16:41.095489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

MISSING  ZEROS 

Distinct166
Distinct (%)4.7%
Missing795
Missing (%)18.4%
Infinite0
Infinite (%)0.0%
Mean3.0222081
Minimum0
Maximum225.06
Zeros2789
Zeros (%)64.4%
Negative0
Negative (%)0.0%
Memory size38.2 KiB
2024-05-11T02:16:41.603048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile15
Maximum225.06
Range225.06
Interquartile range (IQR)0

Descriptive statistics

Standard deviation11.621487
Coefficient of variation (CV)3.845363
Kurtosis130.68808
Mean3.0222081
Median Absolute Deviation (MAD)0
Skewness9.4288909
Sum10689.55
Variance135.05896
MonotonicityNot monotonic
2024-05-11T02:16:42.316496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 2789
64.4%
3.3 205
 
4.7%
6.6 110
 
2.5%
9.9 72
 
1.7%
9.0 26
 
0.6%
10.0 23
 
0.5%
6.0 15
 
0.3%
5.0 12
 
0.3%
102.87 10
 
0.2%
6.3 9
 
0.2%
Other values (156) 266
 
6.1%
(Missing) 795
 
18.4%
ValueCountFrequency (%)
0.0 2789
64.4%
2.11 1
 
< 0.1%
2.5 3
 
0.1%
2.54 5
 
0.1%
3.0 2
 
< 0.1%
3.15 1
 
< 0.1%
3.2 1
 
< 0.1%
3.22 1
 
< 0.1%
3.3 205
 
4.7%
3.4 1
 
< 0.1%
ValueCountFrequency (%)
225.06 2
 
< 0.1%
212.7 1
 
< 0.1%
117.57 1
 
< 0.1%
111.0 1
 
< 0.1%
102.87 10
0.2%
100.0 1
 
< 0.1%
99.0 1
 
< 0.1%
79.0 1
 
< 0.1%
72.96 1
 
< 0.1%
72.9 1
 
< 0.1%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4332
Missing (%)100.0%
Memory size38.2 KiB

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4332
Missing (%)100.0%
Memory size38.2 KiB

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4332
Missing (%)100.0%
Memory size38.2 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
030600003060000-107-1972-0017919720510<NA>3폐업2폐업20030704<NA><NA><NA>020434005953.16131828서울특별시 중랑구 면목동 650-0<NA><NA>고바우기름집2002-08-26 00:00:00I2018-08-31 23:59:59.0즉석판매제조가공업207553.170405453031.115819즉석판매제조가공업11주택가주변기타상수도전용<NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
130600003060000-107-1973-0005319730814<NA>3폐업2폐업20080227<NA><NA><NA>02 432444925.09131876서울특별시 중랑구 중화동 155-1<NA><NA>여주방앗간2002-11-04 00:00:00I2018-08-31 23:59:59.0즉석판매제조가공업<NA><NA>즉석판매제조가공업11주택가주변기타상수도전용<NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
230600003060000-107-1975-0018019751117<NA>3폐업2폐업20060824<NA><NA><NA>020434378448.31131828서울특별시 중랑구 면목동 612-63<NA><NA>대구방앗간2003-07-29 00:00:00I2018-08-31 23:59:59.0즉석판매제조가공업207805.206441453117.890469즉석판매제조가공업11주택가주변기타상수도전용<NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
330600003060000-107-1976-0005219760414<NA>3폐업2폐업20021228<NA><NA><NA>020433366240.71131120서울특별시 중랑구 중화동 산 314-1<NA><NA>태능방앗간2002-11-04 00:00:00I2018-08-31 23:59:59.0즉석판매제조가공업<NA><NA>즉석판매제조가공업10주택가주변자율상수도전용<NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
430600003060000-107-1976-0018119760724<NA>3폐업2폐업20201102<NA><NA><NA>02 434337062.76131813서울특별시 중랑구 면목동 428-2서울특별시 중랑구 면목로56길 12 (면목동)2210화산제유2020-11-02 15:24:44U2020-11-04 02:40:00.0즉석판매제조가공업207801.23521453524.741297즉석판매제조가공업11주택가주변기타상수도전용<NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
530600003060000-107-1976-0018219760902<NA>3폐업2폐업20080710<NA><NA><NA>020435113560.85131831서울특별시 중랑구 면목동 604-25<NA><NA>시루떡방앗간2007-03-07 00:00:00I2018-08-31 23:59:59.0즉석판매제조가공업207587.318584453223.225866즉석판매제조가공업11주택가주변기타상수도전용<NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
630600003060000-107-1981-0005119810624<NA>3폐업2폐업20150403<NA><NA><NA>020973927256.43131848서울특별시 중랑구 묵동 171-19<NA><NA>서울방앗간2002-10-07 00:00:00I2018-08-31 23:59:59.0즉석판매제조가공업<NA><NA>즉석판매제조가공업11주택가주변관리상수도전용<NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
730600003060000-107-1981-0005419810716<NA>3폐업2폐업20010913<NA><NA><NA>02 432109429.54131827서울특별시 중랑구 면목동 353-29<NA><NA>고흥방앗간2001-09-13 00:00:00I2018-08-31 23:59:59.0즉석판매제조가공업207469.94835452729.660036즉석판매제조가공업11주택가주변자율상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
830600003060000-107-1981-0018319810623<NA>1영업/정상1영업<NA><NA><NA><NA>02 492139761.82131806서울특별시 중랑구 망우동 410-1서울특별시 중랑구 용마산로 494 (망우동)2182약수방아간2019-10-02 13:56:19U2019-10-04 02:40:00.0즉석판매제조가공업208781.999419454740.626924즉석판매제조가공업11주택가주변자율상수도전용<NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
930600003060000-107-1982-0010619820211<NA>1영업/정상1영업<NA><NA><NA><NA>020973768523.68131848서울특별시 중랑구 묵동 166-35서울특별시 중랑구 중랑역로49길 6 (묵동)2018세진기름집2010-11-23 13:51:52I2018-08-31 23:59:59.0즉석판매제조가공업206734.200942457087.32797즉석판매제조가공업11주택가주변기타상수도전용<NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
432230600003060000-107-2024-000892024-04-29<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA>131-220서울특별시 중랑구 상봉동 500 상봉 프레미어스 엠코서울특별시 중랑구 망우로 353 (상봉동, 상봉 프레미어스 엠코)2087달콤한하루2024-04-29 09:30:56I2023-12-05 00:01:00.0즉석판매제조가공업207923.745923455090.718335<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
432330600003060000-107-2024-000902024-04-29<NA>1영업/정상1영업<NA><NA><NA><NA><NA>37.0131-823서울특별시 중랑구 면목동 182-1 정우빌딩서울특별시 중랑구 동일로109길 55, 정우빌딩 4층 (면목동)2128수소나라2024-04-29 13:24:40I2023-12-05 00:01:00.0즉석판매제조가공업206740.907167454334.486379<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
432430600003060000-107-2024-000912024-04-29<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA>131-848서울특별시 중랑구 묵동 170-1 묵동자이아파트서울특별시 중랑구 동일로 932 (묵동, 묵동자이아파트)2033주식회사 미래식품2024-04-29 13:39:25I2023-12-05 00:01:00.0즉석판매제조가공업206777.731391456837.219625<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
432530600003060000-107-2024-000922024-04-30<NA>3폐업2폐업2024-05-03<NA><NA><NA><NA><NA>131-810서울특별시 중랑구 망우동 469-24서울특별시 중랑구 용마산로115길 27, 201호 (망우동)2166천지운헬스원2024-05-04 04:15:09U2023-12-05 00:06:00.0즉석판매제조가공업208651.52193455160.949635<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
432630600003060000-107-2024-000932024-04-30<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA>131-848서울특별시 중랑구 묵동 170-1 묵동자이아파트서울특별시 중랑구 동일로 932, 지하2층 (묵동, 묵동자이아파트)2033(주)신세계푸드2024-04-30 11:38:22I2023-12-05 00:02:00.0즉석판매제조가공업206777.731391456837.219625<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
432730600003060000-107-2024-000942024-05-01<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA>131-809서울특별시 중랑구 망우동 461-1 천우빌딩서울특별시 중랑구 봉우재로 239, 천우빌딩 지하층 (망우동)2172녹명원2024-05-01 15:41:16I2023-12-05 00:03:00.0즉석판매제조가공업208707.456894454828.733327<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
432830600003060000-107-2024-000952024-05-03<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA>131-822서울특별시 중랑구 면목동 168-2 홈플러스서울특별시 중랑구 사가정로 332, 홈플러스 1층 (면목동)2236(주)오에스푸드2024-05-03 15:08:18I2023-12-05 00:05:00.0즉석판매제조가공업207090.867165453072.936041<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
432930600003060000-107-2024-000962024-05-08<NA>1영업/정상1영업<NA><NA><NA><NA>031 984 57283.3131-220서울특별시 중랑구 상봉동 500 상봉 프레미어스 엠코서울특별시 중랑구 망우로 353, 지하1층 (상봉동, 상봉 프레미어스 엠코)2087(주)동명에스티유2024-05-08 10:45:01I2023-12-04 23:00:00.0즉석판매제조가공업207923.745923455090.718335<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
433030600003060000-107-2024-000972024-05-08<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA>131-822서울특별시 중랑구 면목동 168-2 홈플러스서울특별시 중랑구 사가정로 332, 홈플러스 지상1층 (면목동)2236(주)동명에스티유2024-05-08 10:52:36I2023-12-04 23:00:00.0즉석판매제조가공업207090.867165453072.936041<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
433130600003060000-107-2024-000982024-05-09<NA>1영업/정상1영업<NA><NA><NA><NA><NA>38.07131-848서울특별시 중랑구 묵동 296-8서울특별시 중랑구 숙선옹주로 17, 1층 (묵동)2031영월장수마을2024-05-09 16:16:15I2023-12-04 23:01:00.0즉석판매제조가공업206895.122373456955.946624<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>