Overview

Dataset statistics

Number of variables44
Number of observations1307
Missing cells11478
Missing cells (%)20.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory480.0 KiB
Average record size in memory376.1 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
Author송파구
URLhttps://data.seoul.go.kr/dataList/OA-18275/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
다중이용업소여부 has constant value ""Constant
업태구분명 is highly imbalanced (58.1%)Imbalance
위생업태명 is highly imbalanced (53.4%)Imbalance
남성종사자수 is highly imbalanced (61.9%)Imbalance
여성종사자수 is highly imbalanced (65.5%)Imbalance
총인원 is highly imbalanced (83.0%)Imbalance
공장생산직종업원수 is highly imbalanced (56.5%)Imbalance
인허가취소일자 has 1307 (100.0%) missing valuesMissing
폐업일자 has 229 (17.5%) missing valuesMissing
휴업시작일자 has 1307 (100.0%) missing valuesMissing
휴업종료일자 has 1307 (100.0%) missing valuesMissing
재개업일자 has 1307 (100.0%) missing valuesMissing
전화번호 has 428 (32.7%) missing valuesMissing
소재지면적 has 48 (3.7%) missing valuesMissing
도로명주소 has 642 (49.1%) missing valuesMissing
도로명우편번호 has 656 (50.2%) missing valuesMissing
좌표정보(X) has 47 (3.6%) missing valuesMissing
좌표정보(Y) has 47 (3.6%) missing valuesMissing
다중이용업소여부 has 116 (8.9%) missing valuesMissing
시설총규모 has 116 (8.9%) missing valuesMissing
전통업소지정번호 has 1307 (100.0%) missing valuesMissing
전통업소주된음식 has 1307 (100.0%) missing valuesMissing
홈페이지 has 1307 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
전통업소지정번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
전통업소주된음식 is an unsupported type, check if it needs cleaning or further analysisUnsupported
홈페이지 is an unsupported type, check if it needs cleaning or further analysisUnsupported
시설총규모 has 948 (72.5%) zerosZeros

Reproduction

Analysis started2024-05-11 00:25:24.394961
Analysis finished2024-05-11 00:25:27.117240
Duration2.72 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size10.3 KiB
3230000
1307 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3230000
2nd row3230000
3rd row3230000
4th row3230000
5th row3230000

Common Values

ValueCountFrequency (%)
3230000 1307
100.0%

Length

2024-05-11T00:25:27.324976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:25:27.767482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3230000 1307
100.0%

관리번호
Text

UNIQUE 

Distinct1307
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size10.3 KiB
2024-05-11T00:25:28.204725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters28754
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

Unique1307 ?
Unique (%)100.0%

Sample

1st row3230000-106-1976-00136
2nd row3230000-106-1977-00052
3rd row3230000-106-1985-00232
4th row3230000-106-1988-00119
5th row3230000-106-1988-00140
ValueCountFrequency (%)
3230000-106-1976-00136 1
 
0.1%
3230000-106-2012-00012 1
 
0.1%
3230000-106-2012-00030 1
 
0.1%
3230000-106-2012-00029 1
 
0.1%
3230000-106-2012-00028 1
 
0.1%
3230000-106-2012-00027 1
 
0.1%
3230000-106-2012-00026 1
 
0.1%
3230000-106-2012-00025 1
 
0.1%
3230000-106-2012-00024 1
 
0.1%
3230000-106-2012-00023 1
 
0.1%
Other values (1297) 1297
99.2%
2024-05-11T00:25:29.350504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 11816
41.1%
- 3921
 
13.6%
3 3122
 
10.9%
2 3060
 
10.6%
1 2798
 
9.7%
6 1662
 
5.8%
9 857
 
3.0%
5 444
 
1.5%
4 423
 
1.5%
8 327
 
1.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 24833
86.4%
Dash Punctuation 3921
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 11816
47.6%
3 3122
 
12.6%
2 3060
 
12.3%
1 2798
 
11.3%
6 1662
 
6.7%
9 857
 
3.5%
5 444
 
1.8%
4 423
 
1.7%
8 327
 
1.3%
7 324
 
1.3%
Dash Punctuation
ValueCountFrequency (%)
- 3921
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 28754
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 11816
41.1%
- 3921
 
13.6%
3 3122
 
10.9%
2 3060
 
10.6%
1 2798
 
9.7%
6 1662
 
5.8%
9 857
 
3.0%
5 444
 
1.5%
4 423
 
1.5%
8 327
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 28754
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 11816
41.1%
- 3921
 
13.6%
3 3122
 
10.9%
2 3060
 
10.6%
1 2798
 
9.7%
6 1662
 
5.8%
9 857
 
3.0%
5 444
 
1.5%
4 423
 
1.5%
8 327
 
1.1%
Distinct1119
Distinct (%)85.6%
Missing0
Missing (%)0.0%
Memory size10.3 KiB
Minimum1976-07-19 00:00:00
Maximum2024-04-22 00:00:00
2024-05-11T00:25:29.847989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:25:30.363223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1307
Missing (%)100.0%
Memory size11.6 KiB
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size10.3 KiB
3
1078 
1
229 

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 1078
82.5%
1 229
 
17.5%

Length

2024-05-11T00:25:30.816246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:25:31.179538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 1078
82.5%
1 229
 
17.5%

영업상태명
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size10.3 KiB
폐업
1078 
영업/정상
229 

Length

Max length5
Median length2
Mean length2.5256312
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 1078
82.5%
영업/정상 229
 
17.5%

Length

2024-05-11T00:25:31.925098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:25:32.271553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 1078
82.5%
영업/정상 229
 
17.5%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size10.3 KiB
2
1078 
1
229 

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 1078
82.5%
1 229
 
17.5%

Length

2024-05-11T00:25:32.613402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:25:33.073875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 1078
82.5%
1 229
 
17.5%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size10.3 KiB
폐업
1078 
영업
229 

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 1078
82.5%
영업 229
 
17.5%

Length

2024-05-11T00:25:33.656537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:25:34.000071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 1078
82.5%
영업 229
 
17.5%

폐업일자
Date

MISSING 

Distinct833
Distinct (%)77.3%
Missing229
Missing (%)17.5%
Memory size10.3 KiB
Minimum1992-10-01 00:00:00
Maximum2024-05-03 00:00:00
2024-05-11T00:25:34.375435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:25:34.847512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1307
Missing (%)100.0%
Memory size11.6 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1307
Missing (%)100.0%
Memory size11.6 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1307
Missing (%)100.0%
Memory size11.6 KiB

전화번호
Text

MISSING 

Distinct832
Distinct (%)94.7%
Missing428
Missing (%)32.7%
Memory size10.3 KiB
2024-05-11T00:25:35.778509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length10.481229
Min length2

Characters and Unicode

Total characters9213
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique807 ?
Unique (%)91.8%

Sample

1st row02 4079496
2nd row02 4064070
3rd row02 4787942
4th row02 4079938
5th row02 4070055
ValueCountFrequency (%)
02 741
39.4%
407 58
 
3.1%
070 34
 
1.8%
400 11
 
0.6%
423 10
 
0.5%
431 8
 
0.4%
402 8
 
0.4%
404 7
 
0.4%
416 6
 
0.3%
412 6
 
0.3%
Other values (891) 991
52.7%
2024-05-11T00:25:37.350538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1793
19.5%
2 1492
16.2%
1288
14.0%
4 1233
13.4%
1 621
 
6.7%
3 590
 
6.4%
7 567
 
6.2%
8 446
 
4.8%
5 419
 
4.5%
9 413
 
4.5%
Other values (2) 351
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7922
86.0%
Space Separator 1288
 
14.0%
Other Punctuation 3
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1793
22.6%
2 1492
18.8%
4 1233
15.6%
1 621
 
7.8%
3 590
 
7.4%
7 567
 
7.2%
8 446
 
5.6%
5 419
 
5.3%
9 413
 
5.2%
6 348
 
4.4%
Space Separator
ValueCountFrequency (%)
1288
100.0%
Other Punctuation
ValueCountFrequency (%)
. 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9213
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1793
19.5%
2 1492
16.2%
1288
14.0%
4 1233
13.4%
1 621
 
6.7%
3 590
 
6.4%
7 567
 
6.2%
8 446
 
4.8%
5 419
 
4.5%
9 413
 
4.5%
Other values (2) 351
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9213
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1793
19.5%
2 1492
16.2%
1288
14.0%
4 1233
13.4%
1 621
 
6.7%
3 590
 
6.4%
7 567
 
6.2%
8 446
 
4.8%
5 419
 
4.5%
9 413
 
4.5%
Other values (2) 351
 
3.8%

소재지면적
Real number (ℝ)

MISSING 

Distinct775
Distinct (%)61.6%
Missing48
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean82.573654
Minimum0
Maximum1835.1
Zeros11
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size11.6 KiB
2024-05-11T00:25:37.945543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile9.9
Q125.63
median56
Q3106.365
95-th percentile209.496
Maximum1835.1
Range1835.1
Interquartile range (IQR)80.735

Descriptive statistics

Standard deviation123.21699
Coefficient of variation (CV)1.4922071
Kurtosis129.1437
Mean82.573654
Median Absolute Deviation (MAD)35.5
Skewness9.6186265
Sum103960.23
Variance15182.427
MonotonicityNot monotonic
2024-05-11T00:25:38.495991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
33.0 36
 
2.8%
30.0 29
 
2.2%
60.0 22
 
1.7%
11.6 17
 
1.3%
120.0 16
 
1.2%
100.0 15
 
1.1%
50.0 13
 
1.0%
150.0 13
 
1.0%
25.0 13
 
1.0%
24.0 12
 
0.9%
Other values (765) 1073
82.1%
(Missing) 48
 
3.7%
ValueCountFrequency (%)
0.0 11
0.8%
1.04 1
 
0.1%
3.52 1
 
0.1%
3.55 1
 
0.1%
4.2 1
 
0.1%
4.62 1
 
0.1%
4.67 1
 
0.1%
4.89 1
 
0.1%
4.95 1
 
0.1%
5.6 1
 
0.1%
ValueCountFrequency (%)
1835.1 4
0.3%
555.98 1
 
0.1%
538.0 1
 
0.1%
535.2 1
 
0.1%
496.0 1
 
0.1%
492.0 1
 
0.1%
480.23 1
 
0.1%
453.0 1
 
0.1%
452.0 1
 
0.1%
448.5 1
 
0.1%
Distinct130
Distinct (%)9.9%
Missing0
Missing (%)0.0%
Memory size10.3 KiB
2024-05-11T00:25:39.336797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0596787
Min length6

Characters and Unicode

Total characters7920
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

Unique32 ?
Unique (%)2.4%

Sample

1st row138881
2nd row138817
3rd row138872
4th row138881
5th row138160
ValueCountFrequency (%)
138881 193
 
14.8%
138200 102
 
7.8%
138806 40
 
3.1%
138859 33
 
2.5%
138812 30
 
2.3%
138857 28
 
2.1%
138858 28
 
2.1%
138801 28
 
2.1%
138830 27
 
2.1%
138845 24
 
1.8%
Other values (120) 774
59.2%
2024-05-11T00:25:40.680743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8 2802
35.4%
1 1757
22.2%
3 1516
19.1%
0 480
 
6.1%
2 311
 
3.9%
5 262
 
3.3%
4 240
 
3.0%
6 183
 
2.3%
7 151
 
1.9%
9 140
 
1.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7842
99.0%
Dash Punctuation 78
 
1.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
8 2802
35.7%
1 1757
22.4%
3 1516
19.3%
0 480
 
6.1%
2 311
 
4.0%
5 262
 
3.3%
4 240
 
3.1%
6 183
 
2.3%
7 151
 
1.9%
9 140
 
1.8%
Dash Punctuation
ValueCountFrequency (%)
- 78
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7920
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
8 2802
35.4%
1 1757
22.2%
3 1516
19.1%
0 480
 
6.1%
2 311
 
3.9%
5 262
 
3.3%
4 240
 
3.0%
6 183
 
2.3%
7 151
 
1.9%
9 140
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7920
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8 2802
35.4%
1 1757
22.2%
3 1516
19.1%
0 480
 
6.1%
2 311
 
3.9%
5 262
 
3.3%
4 240
 
3.0%
6 183
 
2.3%
7 151
 
1.9%
9 140
 
1.8%
Distinct1204
Distinct (%)92.1%
Missing0
Missing (%)0.0%
Memory size10.3 KiB
2024-05-11T00:25:41.486757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length40
Mean length26.429992
Min length14

Characters and Unicode

Total characters34544
Distinct characters258
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

Unique1149 ?
Unique (%)87.9%

Sample

1st row서울특별시 송파구 가락동 600번지
2nd row서울특별시 송파구 마천동 10-1번지
3rd row서울특별시 송파구 풍납동 78-2번지
4th row서울특별시 송파구 가락동 600-0번지 (가공처리장37호)
5th row서울특별시 송파구 가락동 산 600-0번지 가공처리장 1-40동
ValueCountFrequency (%)
서울특별시 1307
20.0%
송파구 1307
20.0%
가락동 452
 
6.9%
문정동 205
 
3.1%
지하1층 203
 
3.1%
600번지 156
 
2.4%
지상1층 145
 
2.2%
오금동 111
 
1.7%
방이동 107
 
1.6%
1층 83
 
1.3%
Other values (1321) 2471
37.7%
2024-05-11T00:25:42.820589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6339
18.4%
1 1846
 
5.3%
1578
 
4.6%
1433
 
4.1%
1426
 
4.1%
1422
 
4.1%
1390
 
4.0%
1308
 
3.8%
1308
 
3.8%
1307
 
3.8%
Other values (248) 15187
44.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 20610
59.7%
Space Separator 6339
 
18.4%
Decimal Number 6147
 
17.8%
Dash Punctuation 1087
 
3.1%
Close Punctuation 122
 
0.4%
Open Punctuation 122
 
0.4%
Uppercase Letter 61
 
0.2%
Other Punctuation 44
 
0.1%
Lowercase Letter 8
 
< 0.1%
Math Symbol 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1578
 
7.7%
1433
 
7.0%
1426
 
6.9%
1422
 
6.9%
1390
 
6.7%
1308
 
6.3%
1308
 
6.3%
1307
 
6.3%
1307
 
6.3%
1307
 
6.3%
Other values (204) 6824
33.1%
Uppercase Letter
ValueCountFrequency (%)
B 18
29.5%
A 13
21.3%
T 4
 
6.6%
S 3
 
4.9%
R 3
 
4.9%
D 3
 
4.9%
E 3
 
4.9%
O 2
 
3.3%
G 2
 
3.3%
F 2
 
3.3%
Other values (7) 8
13.1%
Decimal Number
ValueCountFrequency (%)
1 1846
30.0%
0 838
13.6%
2 759
12.3%
6 534
 
8.7%
3 471
 
7.7%
4 400
 
6.5%
5 339
 
5.5%
8 323
 
5.3%
7 319
 
5.2%
9 318
 
5.2%
Lowercase Letter
ValueCountFrequency (%)
l 2
25.0%
i 1
12.5%
r 1
12.5%
c 1
12.5%
t 1
12.5%
n 1
12.5%
e 1
12.5%
Other Punctuation
ValueCountFrequency (%)
, 24
54.5%
/ 18
40.9%
. 2
 
4.5%
Math Symbol
ValueCountFrequency (%)
~ 2
50.0%
> 1
25.0%
< 1
25.0%
Space Separator
ValueCountFrequency (%)
6339
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1087
100.0%
Close Punctuation
ValueCountFrequency (%)
) 122
100.0%
Open Punctuation
ValueCountFrequency (%)
( 122
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 20610
59.7%
Common 13865
40.1%
Latin 69
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1578
 
7.7%
1433
 
7.0%
1426
 
6.9%
1422
 
6.9%
1390
 
6.7%
1308
 
6.3%
1308
 
6.3%
1307
 
6.3%
1307
 
6.3%
1307
 
6.3%
Other values (204) 6824
33.1%
Latin
ValueCountFrequency (%)
B 18
26.1%
A 13
18.8%
T 4
 
5.8%
S 3
 
4.3%
R 3
 
4.3%
D 3
 
4.3%
E 3
 
4.3%
O 2
 
2.9%
G 2
 
2.9%
F 2
 
2.9%
Other values (14) 16
23.2%
Common
ValueCountFrequency (%)
6339
45.7%
1 1846
 
13.3%
- 1087
 
7.8%
0 838
 
6.0%
2 759
 
5.5%
6 534
 
3.9%
3 471
 
3.4%
4 400
 
2.9%
5 339
 
2.4%
8 323
 
2.3%
Other values (10) 929
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 20610
59.7%
ASCII 13934
40.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6339
45.5%
1 1846
 
13.2%
- 1087
 
7.8%
0 838
 
6.0%
2 759
 
5.4%
6 534
 
3.8%
3 471
 
3.4%
4 400
 
2.9%
5 339
 
2.4%
8 323
 
2.3%
Other values (34) 998
 
7.2%
Hangul
ValueCountFrequency (%)
1578
 
7.7%
1433
 
7.0%
1426
 
6.9%
1422
 
6.9%
1390
 
6.7%
1308
 
6.3%
1308
 
6.3%
1307
 
6.3%
1307
 
6.3%
1307
 
6.3%
Other values (204) 6824
33.1%

도로명주소
Text

MISSING 

Distinct643
Distinct (%)96.7%
Missing642
Missing (%)49.1%
Memory size10.3 KiB
2024-05-11T00:25:43.834301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length72
Median length58
Mean length36.67218
Min length23

Characters and Unicode

Total characters24387
Distinct characters248
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

Unique624 ?
Unique (%)93.8%

Sample

1st row서울특별시 송파구 양재대로 932 (가락동)
2nd row서울특별시 송파구 양재대로 932 (가락동,(1-43))
3rd row서울특별시 송파구 양재대로62길 17 (가락동)
4th row서울특별시 송파구 올림픽로32길 42-26, 지상1층 (방이동)
5th row서울특별시 송파구 위례성대로6길 50, 지하1층 (방이동)
ValueCountFrequency (%)
서울특별시 665
 
14.2%
송파구 665
 
14.2%
가락동 277
 
5.9%
지하1층 188
 
4.0%
양재대로 172
 
3.7%
932 171
 
3.7%
지상1층 142
 
3.0%
1층 97
 
2.1%
문정동 92
 
2.0%
오금동 47
 
1.0%
Other values (904) 2163
46.2%
2024-05-11T00:25:45.917563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4021
 
16.5%
1 1185
 
4.9%
863
 
3.5%
, 828
 
3.4%
793
 
3.3%
770
 
3.2%
769
 
3.2%
) 677
 
2.8%
( 677
 
2.8%
2 670
 
2.7%
Other values (238) 13134
53.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 14027
57.5%
Space Separator 4021
 
16.5%
Decimal Number 3813
 
15.6%
Other Punctuation 837
 
3.4%
Close Punctuation 677
 
2.8%
Open Punctuation 677
 
2.8%
Dash Punctuation 210
 
0.9%
Uppercase Letter 107
 
0.4%
Lowercase Letter 13
 
0.1%
Math Symbol 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
863
 
6.2%
793
 
5.7%
770
 
5.5%
769
 
5.5%
666
 
4.7%
666
 
4.7%
666
 
4.7%
665
 
4.7%
665
 
4.7%
665
 
4.7%
Other values (191) 6839
48.8%
Uppercase Letter
ValueCountFrequency (%)
B 33
30.8%
A 15
14.0%
C 11
 
10.3%
G 7
 
6.5%
D 6
 
5.6%
F 5
 
4.7%
E 5
 
4.7%
H 4
 
3.7%
T 4
 
3.7%
S 3
 
2.8%
Other values (10) 14
13.1%
Decimal Number
ValueCountFrequency (%)
1 1185
31.1%
2 670
17.6%
3 514
13.5%
9 295
 
7.7%
0 256
 
6.7%
6 219
 
5.7%
4 219
 
5.7%
5 187
 
4.9%
8 135
 
3.5%
7 133
 
3.5%
Lowercase Letter
ValueCountFrequency (%)
c 3
23.1%
b 2
15.4%
l 2
15.4%
e 1
 
7.7%
n 1
 
7.7%
t 1
 
7.7%
r 1
 
7.7%
i 1
 
7.7%
h 1
 
7.7%
Other Punctuation
ValueCountFrequency (%)
, 828
98.9%
/ 7
 
0.8%
? 2
 
0.2%
Space Separator
ValueCountFrequency (%)
4021
100.0%
Close Punctuation
ValueCountFrequency (%)
) 677
100.0%
Open Punctuation
ValueCountFrequency (%)
( 677
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 210
100.0%
Math Symbol
ValueCountFrequency (%)
~ 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 14027
57.5%
Common 10240
42.0%
Latin 120
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
863
 
6.2%
793
 
5.7%
770
 
5.5%
769
 
5.5%
666
 
4.7%
666
 
4.7%
666
 
4.7%
665
 
4.7%
665
 
4.7%
665
 
4.7%
Other values (191) 6839
48.8%
Latin
ValueCountFrequency (%)
B 33
27.5%
A 15
12.5%
C 11
 
9.2%
G 7
 
5.8%
D 6
 
5.0%
F 5
 
4.2%
E 5
 
4.2%
H 4
 
3.3%
T 4
 
3.3%
S 3
 
2.5%
Other values (19) 27
22.5%
Common
ValueCountFrequency (%)
4021
39.3%
1 1185
 
11.6%
, 828
 
8.1%
) 677
 
6.6%
( 677
 
6.6%
2 670
 
6.5%
3 514
 
5.0%
9 295
 
2.9%
0 256
 
2.5%
6 219
 
2.1%
Other values (8) 898
 
8.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 14027
57.5%
ASCII 10360
42.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4021
38.8%
1 1185
 
11.4%
, 828
 
8.0%
) 677
 
6.5%
( 677
 
6.5%
2 670
 
6.5%
3 514
 
5.0%
9 295
 
2.8%
0 256
 
2.5%
6 219
 
2.1%
Other values (37) 1018
 
9.8%
Hangul
ValueCountFrequency (%)
863
 
6.2%
793
 
5.7%
770
 
5.5%
769
 
5.5%
666
 
4.7%
666
 
4.7%
666
 
4.7%
665
 
4.7%
665
 
4.7%
665
 
4.7%
Other values (191) 6839
48.8%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct207
Distinct (%)31.8%
Missing656
Missing (%)50.2%
Infinite0
Infinite (%)0.0%
Mean5701.5868
Minimum5501
Maximum5855
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.6 KiB
2024-05-11T00:25:46.634068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5501
5-th percentile5548.5
Q15661
median5699
Q35752.5
95-th percentile5836
Maximum5855
Range354
Interquartile range (IQR)91.5

Descriptive statistics

Standard deviation84.419665
Coefficient of variation (CV)0.014806346
Kurtosis-0.28732488
Mean5701.5868
Median Absolute Deviation (MAD)45
Skewness-0.25818236
Sum3711733
Variance7126.6798
MonotonicityNot monotonic
2024-05-11T00:25:47.445504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5699 171
 
13.1%
5836 11
 
0.8%
5855 10
 
0.8%
5829 10
 
0.8%
5740 8
 
0.6%
5798 8
 
0.6%
5705 8
 
0.6%
5614 8
 
0.6%
5559 7
 
0.5%
5728 7
 
0.5%
Other values (197) 403
30.8%
(Missing) 656
50.2%
ValueCountFrequency (%)
5501 1
 
0.1%
5502 1
 
0.1%
5504 3
0.2%
5507 2
 
0.2%
5510 5
0.4%
5512 2
 
0.2%
5516 3
0.2%
5517 1
 
0.1%
5520 1
 
0.1%
5523 1
 
0.1%
ValueCountFrequency (%)
5855 10
0.8%
5854 4
 
0.3%
5852 2
 
0.2%
5849 2
 
0.2%
5840 1
 
0.1%
5839 5
0.4%
5838 7
0.5%
5836 11
0.8%
5835 1
 
0.1%
5834 2
 
0.2%
Distinct1236
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Memory size10.3 KiB
2024-05-11T00:25:48.463676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length26
Mean length6.310635
Min length2

Characters and Unicode

Total characters8248
Distinct characters604
Distinct categories8 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1173 ?
Unique (%)89.7%

Sample

1st row서한냉동(주)
2nd row삼선식품
3rd row금성식품
4th row미성
5th row대성식품
ValueCountFrequency (%)
주식회사 39
 
2.6%
커피 6
 
0.4%
유한회사 5
 
0.3%
5
 
0.3%
한양식품 4
 
0.3%
농산 4
 
0.3%
오복상회 3
 
0.2%
cafe 3
 
0.2%
농업회사법인 3
 
0.2%
베이커리 3
 
0.2%
Other values (1357) 1447
95.1%
2024-05-11T00:25:50.038829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
) 413
 
5.0%
409
 
5.0%
( 407
 
4.9%
318
 
3.9%
261
 
3.2%
216
 
2.6%
181
 
2.2%
166
 
2.0%
147
 
1.8%
127
 
1.5%
Other values (594) 5603
67.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6806
82.5%
Close Punctuation 414
 
5.0%
Open Punctuation 408
 
4.9%
Space Separator 216
 
2.6%
Lowercase Letter 183
 
2.2%
Uppercase Letter 163
 
2.0%
Decimal Number 35
 
0.4%
Other Punctuation 23
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
409
 
6.0%
318
 
4.7%
261
 
3.8%
181
 
2.7%
166
 
2.4%
147
 
2.2%
127
 
1.9%
117
 
1.7%
115
 
1.7%
111
 
1.6%
Other values (530) 4854
71.3%
Lowercase Letter
ValueCountFrequency (%)
e 34
18.6%
a 20
10.9%
o 19
10.4%
t 17
9.3%
i 11
 
6.0%
f 11
 
6.0%
r 10
 
5.5%
n 9
 
4.9%
s 9
 
4.9%
l 8
 
4.4%
Other values (14) 35
19.1%
Uppercase Letter
ValueCountFrequency (%)
C 17
 
10.4%
F 15
 
9.2%
O 13
 
8.0%
A 12
 
7.4%
S 11
 
6.7%
B 11
 
6.7%
N 11
 
6.7%
E 8
 
4.9%
T 7
 
4.3%
L 7
 
4.3%
Other values (12) 51
31.3%
Decimal Number
ValueCountFrequency (%)
1 13
37.1%
2 5
 
14.3%
3 5
 
14.3%
0 3
 
8.6%
4 3
 
8.6%
5 3
 
8.6%
8 2
 
5.7%
7 1
 
2.9%
Other Punctuation
ValueCountFrequency (%)
& 10
43.5%
. 6
26.1%
? 3
 
13.0%
' 3
 
13.0%
, 1
 
4.3%
Close Punctuation
ValueCountFrequency (%)
) 413
99.8%
1
 
0.2%
Open Punctuation
ValueCountFrequency (%)
( 407
99.8%
1
 
0.2%
Space Separator
ValueCountFrequency (%)
216
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6802
82.5%
Common 1096
 
13.3%
Latin 346
 
4.2%
Han 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
409
 
6.0%
318
 
4.7%
261
 
3.8%
181
 
2.7%
166
 
2.4%
147
 
2.2%
127
 
1.9%
117
 
1.7%
115
 
1.7%
111
 
1.6%
Other values (527) 4850
71.3%
Latin
ValueCountFrequency (%)
e 34
 
9.8%
a 20
 
5.8%
o 19
 
5.5%
t 17
 
4.9%
C 17
 
4.9%
F 15
 
4.3%
O 13
 
3.8%
A 12
 
3.5%
S 11
 
3.2%
i 11
 
3.2%
Other values (36) 177
51.2%
Common
ValueCountFrequency (%)
) 413
37.7%
( 407
37.1%
216
19.7%
1 13
 
1.2%
& 10
 
0.9%
. 6
 
0.5%
2 5
 
0.5%
3 5
 
0.5%
? 3
 
0.3%
0 3
 
0.3%
Other values (8) 15
 
1.4%
Han
ValueCountFrequency (%)
2
50.0%
1
25.0%
1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6802
82.5%
ASCII 1440
 
17.5%
CJK 3
 
< 0.1%
None 2
 
< 0.1%
CJK Compat Ideographs 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
) 413
28.7%
( 407
28.3%
216
15.0%
e 34
 
2.4%
a 20
 
1.4%
o 19
 
1.3%
t 17
 
1.2%
C 17
 
1.2%
F 15
 
1.0%
1 13
 
0.9%
Other values (52) 269
18.7%
Hangul
ValueCountFrequency (%)
409
 
6.0%
318
 
4.7%
261
 
3.8%
181
 
2.7%
166
 
2.4%
147
 
2.2%
127
 
1.9%
117
 
1.7%
115
 
1.7%
111
 
1.6%
Other values (527) 4850
71.3%
CJK
ValueCountFrequency (%)
2
66.7%
1
33.3%
None
ValueCountFrequency (%)
1
50.0%
1
50.0%
CJK Compat Ideographs
ValueCountFrequency (%)
1
100.0%
Distinct1091
Distinct (%)83.5%
Missing0
Missing (%)0.0%
Memory size10.3 KiB
Minimum1999-04-22 00:00:00
Maximum2024-05-03 12:42:26
2024-05-11T00:25:50.725789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:25:51.365146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size10.3 KiB
I
1036 
U
271 

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 1036
79.3%
U 271
 
20.7%

Length

2024-05-11T00:25:52.035996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:25:52.495899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 1036
79.3%
u 271
 
20.7%
Distinct268
Distinct (%)20.5%
Missing0
Missing (%)0.0%
Memory size10.3 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:05:00
2024-05-11T00:25:53.011600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:25:53.660457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size10.3 KiB
식품제조가공업
1085 
기타 식품제조가공업
221 
도시락제조업
 
1

Length

Max length10
Median length7
Mean length7.5065034
Min length6

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
식품제조가공업 1085
83.0%
기타 식품제조가공업 221
 
16.9%
도시락제조업 1
 
0.1%

Length

2024-05-11T00:25:54.275475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:25:54.736515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식품제조가공업 1306
85.5%
기타 221
 
14.5%
도시락제조업 1
 
0.1%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct814
Distinct (%)64.6%
Missing47
Missing (%)3.6%
Infinite0
Infinite (%)0.0%
Mean210445.97
Minimum206932.36
Maximum213855
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.6 KiB
2024-05-11T00:25:55.547540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum206932.36
5-th percentile207618.72
Q1209790.96
median210511.23
Q3211368.01
95-th percentile212877.14
Maximum213855
Range6922.6459
Interquartile range (IQR)1577.0462

Descriptive statistics

Standard deviation1424.9618
Coefficient of variation (CV)0.0067711531
Kurtosis-0.090839181
Mean210445.97
Median Absolute Deviation (MAD)720.27132
Skewness-0.17612432
Sum2.6516192 × 108
Variance2030516.3
MonotonicityNot monotonic
2024-05-11T00:25:56.218948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
209790.959909032 214
 
16.4%
208589.363343145 7
 
0.5%
208865.513376106 6
 
0.5%
211619.368009793 6
 
0.5%
210986.460698452 5
 
0.4%
208707.089897534 5
 
0.4%
210780.126180232 4
 
0.3%
210809.606181448 4
 
0.3%
209631.150722462 4
 
0.3%
209160.342515348 4
 
0.3%
Other values (804) 1001
76.6%
(Missing) 47
 
3.6%
ValueCountFrequency (%)
206932.357872339 1
0.1%
206946.479745429 1
0.1%
206978.093333333 1
0.1%
207012.516063541 1
0.1%
207028.285910382 2
0.2%
207029.721338468 1
0.1%
207036.076779272 1
0.1%
207049.680448675 1
0.1%
207053.103832541 1
0.1%
207073.183634607 2
0.2%
ValueCountFrequency (%)
213855.003774808 1
0.1%
213842.681773192 1
0.1%
213817.053118286 2
0.2%
213804.777278019 1
0.1%
213795.835875629 1
0.1%
213759.641254248 2
0.2%
213735.767905031 1
0.1%
213733.329979844 1
0.1%
213671.350094068 1
0.1%
213597.847115924 1
0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct814
Distinct (%)64.6%
Missing47
Missing (%)3.6%
Infinite0
Infinite (%)0.0%
Mean444139.83
Minimum441411.91
Maximum448548.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.6 KiB
2024-05-11T00:25:56.850911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum441411.91
5-th percentile442458.8
Q1443481.21
median444021.87
Q3444798.43
95-th percentile445867.11
Maximum448548.8
Range7136.8963
Interquartile range (IQR)1317.2199

Descriptive statistics

Standard deviation1155.5273
Coefficient of variation (CV)0.0026017195
Kurtosis2.2819626
Mean444139.83
Median Absolute Deviation (MAD)575.21988
Skewness1.0204304
Sum5.5961619 × 108
Variance1335243.2
MonotonicityNot monotonic
2024-05-11T00:25:57.456718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
443481.212174317 214
 
16.4%
445455.90405262 7
 
0.5%
444574.099815107 6
 
0.5%
445963.384875409 6
 
0.5%
441725.293491662 5
 
0.4%
446299.352775446 5
 
0.4%
441730.920486073 4
 
0.3%
443395.691732762 4
 
0.3%
444351.875696769 4
 
0.3%
446201.867636819 4
 
0.3%
Other values (804) 1001
76.6%
(Missing) 47
 
3.6%
ValueCountFrequency (%)
441411.906445707 1
 
0.1%
441426.0 1
 
0.1%
441725.293491662 5
0.4%
441730.920486073 4
0.3%
441934.252100339 1
 
0.1%
441955.499751429 1
 
0.1%
441972.756271342 1
 
0.1%
442026.988783 2
 
0.2%
442033.492856368 1
 
0.1%
442038.143247 1
 
0.1%
ValueCountFrequency (%)
448548.80270079 1
0.1%
448408.828671864 1
0.1%
448393.699295531 1
0.1%
448393.106588137 2
0.2%
448391.797075099 1
0.1%
448390.692594117 1
0.1%
448366.675303102 1
0.1%
448364.723368836 2
0.2%
448333.220806094 1
0.1%
448323.498359444 1
0.1%

위생업태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size10.3 KiB
식품제조가공업
1043 
기타 식품제조가공업
147 
<NA>
116 
도시락제조업
 
1

Length

Max length10
Median length7
Mean length7.0703902
Min length4

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
식품제조가공업 1043
79.8%
기타 식품제조가공업 147
 
11.2%
<NA> 116
 
8.9%
도시락제조업 1
 
0.1%

Length

2024-05-11T00:25:57.874176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:25:58.206159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식품제조가공업 1190
81.8%
기타 147
 
10.1%
na 116
 
8.0%
도시락제조업 1
 
0.1%

남성종사자수
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size10.3 KiB
<NA>
1034 
0
237 
1
 
27
2
 
7
3
 
2

Length

Max length4
Median length4
Mean length3.3733741
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1034
79.1%
0 237
 
18.1%
1 27
 
2.1%
2 7
 
0.5%
3 2
 
0.2%

Length

2024-05-11T00:25:58.548296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:25:58.859535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1034
79.1%
0 237
 
18.1%
1 27
 
2.1%
2 7
 
0.5%
3 2
 
0.2%

여성종사자수
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size10.3 KiB
<NA>
1032 
0
241 
1
 
22
2
 
7
3
 
4

Length

Max length4
Median length4
Mean length3.3687835
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1032
79.0%
0 241
 
18.4%
1 22
 
1.7%
2 7
 
0.5%
3 4
 
0.3%
7 1
 
0.1%

Length

2024-05-11T00:25:59.195673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:25:59.539595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1032
79.0%
0 241
 
18.4%
1 22
 
1.7%
2 7
 
0.5%
3 4
 
0.3%
7 1
 
0.1%
Distinct5
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size10.3 KiB
<NA>
902 
기타
234 
주택가주변
165 
아파트지역
 
5
유흥업소밀집지역
 
1

Length

Max length8
Median length4
Mean length3.7750574
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 902
69.0%
기타 234
 
17.9%
주택가주변 165
 
12.6%
아파트지역 5
 
0.4%
유흥업소밀집지역 1
 
0.1%

Length

2024-05-11T00:25:59.869395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:26:00.088398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 902
69.0%
기타 234
 
17.9%
주택가주변 165
 
12.6%
아파트지역 5
 
0.4%
유흥업소밀집지역 1
 
0.1%

등급구분명
Categorical

Distinct6
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size10.3 KiB
<NA>
902 
기타
235 
우수
118 
자율
 
44
 
7

Length

Max length4
Median length4
Mean length3.3749044
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 902
69.0%
기타 235
 
18.0%
우수 118
 
9.0%
자율 44
 
3.4%
7
 
0.5%
지도 1
 
0.1%

Length

2024-05-11T00:26:00.693626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:26:01.032028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 902
69.0%
기타 235
 
18.0%
우수 118
 
9.0%
자율 44
 
3.4%
7
 
0.5%
지도 1
 
0.1%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size10.3 KiB
<NA>
1023 
상수도전용
284 

Length

Max length5
Median length4
Mean length4.2172915
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1023
78.3%
상수도전용 284
 
21.7%

Length

2024-05-11T00:26:01.409894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:26:01.740135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1023
78.3%
상수도전용 284
 
21.7%

총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size10.3 KiB
<NA>
1274 
0
 
33

Length

Max length4
Median length4
Mean length3.924254
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> 1274
97.5%
0 33
 
2.5%

Length

2024-05-11T00:26:02.177083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:26:02.438859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1274
97.5%
0 33
 
2.5%
Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size10.3 KiB
<NA>
749 
0
557 
2
 
1

Length

Max length4
Median length4
Mean length2.7192043
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 749
57.3%
0 557
42.6%
2 1
 
0.1%

Length

2024-05-11T00:26:02.732300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:26:03.082853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 749
57.3%
0 557
42.6%
2 1
 
0.1%
Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size10.3 KiB
<NA>
750 
0
556 
1
 
1

Length

Max length4
Median length4
Mean length2.7214996
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 750
57.4%
0 556
42.5%
1 1
 
0.1%

Length

2024-05-11T00:26:03.488384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:26:03.893166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 750
57.4%
0 556
42.5%
1 1
 
0.1%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size10.3 KiB
<NA>
750 
0
557 

Length

Max length4
Median length4
Mean length2.7214996
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 750
57.4%
0 557
42.6%

Length

2024-05-11T00:26:04.182600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:26:04.453054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 750
57.4%
0 557
42.6%

공장생산직종업원수
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size10.3 KiB
<NA>
748 
0
556 
5
 
1
2
 
1
1
 
1

Length

Max length4
Median length4
Mean length2.716909
Min length1

Unique

Unique3 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 748
57.2%
0 556
42.5%
5 1
 
0.1%
2 1
 
0.1%
1 1
 
0.1%

Length

2024-05-11T00:26:04.780978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:26:05.126323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 748
57.2%
0 556
42.5%
5 1
 
0.1%
2 1
 
0.1%
1 1
 
0.1%
Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size10.3 KiB
<NA>
842 
임대
292 
자가
173 

Length

Max length4
Median length4
Mean length3.2884468
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> 842
64.4%
임대 292
 
22.3%
자가 173
 
13.2%

Length

2024-05-11T00:26:05.472798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:26:05.799608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 842
64.4%
임대 292
 
22.3%
자가 173
 
13.2%

보증액
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size10.3 KiB
<NA>
1110 
0
197 

Length

Max length4
Median length4
Mean length3.5478194
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> 1110
84.9%
0 197
 
15.1%

Length

2024-05-11T00:26:06.209436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:26:06.530102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1110
84.9%
0 197
 
15.1%

월세액
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size10.3 KiB
<NA>
1110 
0
197 

Length

Max length4
Median length4
Mean length3.5478194
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> 1110
84.9%
0 197
 
15.1%

Length

2024-05-11T00:26:07.100350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:26:07.484690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1110
84.9%
0 197
 
15.1%

다중이용업소여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)0.1%
Missing116
Missing (%)8.9%
Memory size2.7 KiB
False
1191 
(Missing)
 
116
ValueCountFrequency (%)
False 1191
91.1%
(Missing) 116
 
8.9%
2024-05-11T00:26:07.770521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

MISSING  ZEROS 

Distinct128
Distinct (%)10.7%
Missing116
Missing (%)8.9%
Infinite0
Infinite (%)0.0%
Mean1.4617296
Minimum0
Maximum157.09
Zeros948
Zeros (%)72.5%
Negative0
Negative (%)0.0%
Memory size11.6 KiB
2024-05-11T00:26:08.116896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile5
Maximum157.09
Range157.09
Interquartile range (IQR)0

Descriptive statistics

Standard deviation8.8006995
Coefficient of variation (CV)6.0207437
Kurtosis144.28502
Mean1.4617296
Median Absolute Deviation (MAD)0
Skewness10.9802
Sum1740.92
Variance77.452312
MonotonicityNot monotonic
2024-05-11T00:26:08.735021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 948
72.5%
0.72 17
 
1.3%
0.25 17
 
1.3%
1.0 16
 
1.2%
1.5 14
 
1.1%
3.0 12
 
0.9%
2.0 9
 
0.7%
5.0 7
 
0.5%
0.7 6
 
0.5%
0.64 4
 
0.3%
Other values (118) 141
 
10.8%
(Missing) 116
 
8.9%
ValueCountFrequency (%)
0.0 948
72.5%
0.25 17
 
1.3%
0.28 1
 
0.1%
0.3 2
 
0.2%
0.33 1
 
0.1%
0.35 1
 
0.1%
0.36 3
 
0.2%
0.39 1
 
0.1%
0.4 2
 
0.2%
0.42 1
 
0.1%
ValueCountFrequency (%)
157.09 1
0.1%
116.5 1
0.1%
105.46 1
0.1%
87.64 1
0.1%
79.66 1
0.1%
65.37 1
0.1%
65.21 1
0.1%
64.0 1
0.1%
55.74 1
0.1%
55.28 1
0.1%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1307
Missing (%)100.0%
Memory size11.6 KiB

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1307
Missing (%)100.0%
Memory size11.6 KiB

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1307
Missing (%)100.0%
Memory size11.6 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
032300003230000-106-1976-0013619760719<NA>3폐업2폐업20160713<NA><NA><NA>02 4079496185.1138881서울특별시 송파구 가락동 600번지서울특별시 송파구 양재대로 932 (가락동)5699서한냉동(주)2016-05-27 10:24:36I2018-08-31 23:59:59.0식품제조가공업209790.959909443481.212174식품제조가공업11주택가주변지도상수도전용<NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
132300003230000-106-1977-0005219770329<NA>3폐업2폐업20030613<NA><NA><NA>02 4064070100.0138817서울특별시 송파구 마천동 10-1번지<NA><NA>삼선식품2002-09-04 00:00:00I2018-08-31 23:59:59.0식품제조가공업212803.861775444320.932355식품제조가공업<NA><NA>주택가주변자율상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
232300003230000-106-1985-0023219850325<NA>3폐업2폐업20110428<NA><NA><NA>02 4787942153.0138872서울특별시 송파구 풍납동 78-2번지<NA><NA>금성식품2011-03-24 17:21:14I2018-08-31 23:59:59.0식품제조가공업210594.103006448393.106588식품제조가공업00기타기타상수도전용<NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
332300003230000-106-1988-0011919880810<NA>3폐업2폐업20031029<NA><NA><NA>02 4079938105.78138881서울특별시 송파구 가락동 600-0번지 (가공처리장37호)<NA><NA>미성2003-10-30 00:00:00I2018-08-31 23:59:59.0식품제조가공업209790.959909443481.212174식품제조가공업10주택가주변자율상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
432300003230000-106-1988-0014019880215<NA>3폐업2폐업20031029<NA><NA><NA>02 4070055103.33138160서울특별시 송파구 가락동 산 600-0번지 가공처리장 1-40동<NA><NA>대성식품2003-10-30 00:00:00I2018-08-31 23:59:59.0식품제조가공업<NA><NA>식품제조가공업<NA><NA>주택가주변우수상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
532300003230000-106-1988-0174619880411<NA>3폐업2폐업20090324<NA><NA><NA>02 406722685.76138881서울특별시 송파구 가락동 600번지 가공처리장 45호<NA><NA>(주)코아코식품2009-03-24 15:11:07I2018-08-31 23:59:59.0식품제조가공업209790.959909443481.212174식품제조가공업00주택가주변우수<NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
632300003230000-106-1988-0242319880210<NA>3폐업2폐업20140630<NA><NA><NA>02 4067226480.23138881서울특별시 송파구 가락동 600-0번지 (1-43)서울특별시 송파구 양재대로 932 (가락동,(1-43))5699(주)진보식품2008-03-06 12:05:49I2018-08-31 23:59:59.0식품제조가공업209790.959909443481.212174식품제조가공업00기타기타<NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
732300003230000-106-1988-0242419880215<NA>3폐업2폐업20050428<NA><NA><NA><NA><NA>138881서울특별시 송파구 가락동 600번지 가공처리장 1-38<NA><NA>새시대유통2003-04-01 00:00:00I2018-08-31 23:59:59.0식품제조가공업209790.959909443481.212174식품제조가공업<NA><NA><NA><NA><NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
832300003230000-106-1988-0242519880215<NA>3폐업2폐업20061121<NA><NA><NA><NA>199.2138881서울특별시 송파구 가락동 600-0번지 가공처리장 2-1호<NA><NA>팔도산업(주)2006-01-27 00:00:00I2018-08-31 23:59:59.0식품제조가공업209790.959909443481.212174식품제조가공업<NA><NA><NA><NA><NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
932300003230000-106-1988-0242619880507<NA>3폐업2폐업20040827<NA><NA><NA>02 4178761<NA>138846서울특별시 송파구 석촌동 261-10번지<NA><NA>해뜨렛2003-06-10 00:00:00I2018-08-31 23:59:59.0식품제조가공업209113.470013444404.41005식품제조가공업<NA><NA><NA><NA><NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
129732300003230000-106-2023-000092023-10-23<NA>1영업/정상1영업<NA><NA><NA><NA>0705151552282.7138-810서울특별시 송파구 가락동 167-9 상왕빌딩서울특별시 송파구 오금로44가길 8, 상왕빌딩 2층 (가락동)5769(주)코너스톤티엔엠2023-12-20 10:44:52U2022-11-01 22:03:00.0기타 식품제조가공업211899.414776443911.254616<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
129832300003230000-106-2023-000102023-11-07<NA>1영업/정상1영업<NA><NA><NA><NA><NA>22.88138-960서울특별시 송파구 문정동 634 가든파이브라이프서울특별시 송파구 충민로 66, 가든파이브라이프 9층 Y9007호 (문정동)5838건강만들기2023-11-07 15:52:26I2022-11-01 00:09:00.0기타 식품제조가공업210986.460698441725.293492<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
129932300003230000-106-2024-000012024-01-29<NA>1영업/정상1영업<NA><NA><NA><NA>070 806453941835.1138-843서울특별시 송파구 석촌동 60-8 한석빌딩서울특별시 송파구 백제고분로36길 26, 한석빌딩 1~5층 (석촌동)5614주식회사 이유박스2024-02-05 13:54:47U2023-12-02 00:07:00.0기타 식품제조가공업208865.513376444574.099815<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
130032300003230000-106-2024-000022024-01-30<NA>1영업/정상1영업<NA><NA><NA><NA>070 877316251835.1138-843서울특별시 송파구 석촌동 60-8 한석빌딩서울특별시 송파구 백제고분로36길 26, 한석빌딩 1~5층 (석촌동)5614나무숲2024-02-05 13:55:54U2023-12-02 00:07:00.0기타 식품제조가공업208865.513376444574.099815<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
130132300003230000-106-2024-000032024-01-30<NA>1영업/정상1영업<NA><NA><NA><NA>070 877316251835.1138-843서울특별시 송파구 석촌동 60-8 한석빌딩서울특별시 송파구 백제고분로36길 26, 한석빌딩 1~5층 (석촌동)5614현아농산2024-01-30 13:48:21I2023-12-02 00:01:00.0기타 식품제조가공업208865.513376444574.099815<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
130232300003230000-106-2024-000042024-03-15<NA>1영업/정상1영업<NA><NA><NA><NA><NA>1835.1138-843서울특별시 송파구 석촌동 60-8 한석빌딩서울특별시 송파구 백제고분로36길 26, 한석빌딩 1~5층 (석촌동)5614주식회사 커머스온2024-03-15 21:10:04I2023-12-02 23:07:00.0기타 식품제조가공업208865.513376444574.099815<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
130332300003230000-106-2024-000052024-04-03<NA>1영업/정상1영업<NA><NA><NA><NA><NA>36.66138-801서울특별시 송파구 가락동 30-1서울특별시 송파구 오금로36길 37, 1층 103호 (가락동)5704도리당연구소2024-04-03 09:46:31I2023-12-04 00:05:00.0기타 식품제조가공업210874.57586444272.628411<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
130432300003230000-106-2024-000062024-04-09<NA>1영업/정상1영업<NA><NA><NA><NA>02 786 399120.0138-888서울특별시 송파구 문정동 651 문정역테라타워서울특별시 송파구 송파대로 167, 문정역테라타워 B동 1203호 (문정동)5855원바이오2024-04-09 17:03:00I2023-12-03 23:01:00.0기타 식품제조가공업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
130532300003230000-106-2024-000072024-04-22<NA>1영업/정상1영업<NA><NA><NA><NA>02 431 929058.4138-926서울특별시 송파구 장지동 881 아이온스퀘어서울특별시 송파구 위례광장로 188, 아이온스퀘어 1,2층 112-1, 212, 213호 (장지동)5849장어야2024-04-22 17:22:17I2023-12-03 22:04:00.0기타 식품제조가공업212524.30674442109.564102<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
130632300003230000-106-2201-0283620010302<NA>3폐업2폐업20050725<NA><NA><NA>02 4211923140.0138834서울특별시 송파구 방이동 193-17번지<NA><NA>홍도식품2007-08-31 17:48:18I2018-08-31 23:59:59.0식품제조가공업210863.691124445473.005139식품제조가공업<NA><NA>기타기타<NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>