Overview

Dataset statistics

Number of variables44
Number of observations408
Missing cells3957
Missing cells (%)22.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory149.5 KiB
Average record size in memory375.3 B

Variable types

Numeric6
Text7
DateTime4
Unsupported7
Categorical19
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
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-16081/S/1/datasetView.do

Alerts

업태구분명 has constant value ""Constant
다중이용업소여부 has constant value ""Constant
위생업태명 is highly imbalanced (69.7%)Imbalance
등급구분명 is highly imbalanced (51.4%)Imbalance
본사종업원수 is highly imbalanced (60.0%)Imbalance
공장판매직종업원수 is highly imbalanced (55.5%)Imbalance
공장생산직종업원수 is highly imbalanced (53.6%)Imbalance
인허가취소일자 has 408 (100.0%) missing valuesMissing
폐업일자 has 70 (17.2%) missing valuesMissing
휴업시작일자 has 408 (100.0%) missing valuesMissing
휴업종료일자 has 408 (100.0%) missing valuesMissing
재개업일자 has 408 (100.0%) missing valuesMissing
전화번호 has 73 (17.9%) missing valuesMissing
소재지면적 has 102 (25.0%) missing valuesMissing
도로명주소 has 258 (63.2%) missing valuesMissing
도로명우편번호 has 263 (64.5%) missing valuesMissing
좌표정보(X) has 36 (8.8%) missing valuesMissing
좌표정보(Y) has 36 (8.8%) missing valuesMissing
남성종사자수 has 219 (53.7%) missing valuesMissing
다중이용업소여부 has 22 (5.4%) missing valuesMissing
시설총규모 has 22 (5.4%) missing valuesMissing
전통업소지정번호 has 408 (100.0%) missing valuesMissing
전통업소주된음식 has 408 (100.0%) missing valuesMissing
홈페이지 has 408 (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
남성종사자수 has 169 (41.4%) zerosZeros
시설총규모 has 364 (89.2%) zerosZeros

Reproduction

Analysis started2024-05-11 06:40:14.006042
Analysis finished2024-05-11 06:40:14.908618
Duration0.9 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Real number (ℝ)

Distinct25
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3079803.9
Minimum3000000
Maximum3240000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.7 KiB
2024-05-11T15:40:14.999362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3000000
5-th percentile3010000
Q13010000
median3030000
Q33160000
95-th percentile3220000
Maximum3240000
Range240000
Interquartile range (IQR)150000

Descriptive statistics

Standard deviation76292.859
Coefficient of variation (CV)0.024771986
Kurtosis-1.25585
Mean3079803.9
Median Absolute Deviation (MAD)20000
Skewness0.62338135
Sum1.25656 × 109
Variance5.8206003 × 109
MonotonicityNot monotonic
2024-05-11T15:40:15.187701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
3010000 123
30.1%
3030000 87
21.3%
3170000 38
 
9.3%
3180000 30
 
7.4%
3160000 20
 
4.9%
3040000 10
 
2.5%
3230000 10
 
2.5%
3150000 10
 
2.5%
3050000 9
 
2.2%
3020000 9
 
2.2%
Other values (15) 62
15.2%
ValueCountFrequency (%)
3000000 1
 
0.2%
3010000 123
30.1%
3020000 9
 
2.2%
3030000 87
21.3%
3040000 10
 
2.5%
3050000 9
 
2.2%
3060000 6
 
1.5%
3070000 4
 
1.0%
3080000 2
 
0.5%
3090000 4
 
1.0%
ValueCountFrequency (%)
3240000 6
 
1.5%
3230000 10
 
2.5%
3220000 6
 
1.5%
3210000 2
 
0.5%
3200000 6
 
1.5%
3190000 3
 
0.7%
3180000 30
7.4%
3170000 38
9.3%
3160000 20
4.9%
3150000 10
 
2.5%

관리번호
Text

UNIQUE 

Distinct408
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
2024-05-11T15:40:15.483258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters8976
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

Unique408 ?
Unique (%)100.0%

Sample

1st row3030000-118-2006-00001
2nd row3010000-118-2021-00002
3rd row3170000-118-2014-00004
4th row3200000-118-1992-00014
5th row3030000-118-2008-00001
ValueCountFrequency (%)
3030000-118-2006-00001 1
 
0.2%
3120000-118-2006-00001 1
 
0.2%
3140000-118-2001-00930 1
 
0.2%
3130000-118-1993-00348 1
 
0.2%
3130000-118-1994-00349 1
 
0.2%
3130000-118-1998-00347 1
 
0.2%
3130000-118-2001-00001 1
 
0.2%
3130000-118-2002-00001 1
 
0.2%
3130000-118-2001-00002 1
 
0.2%
3120000-118-1987-00044 1
 
0.2%
Other values (398) 398
97.5%
2024-05-11T15:40:15.982620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3802
42.4%
1 1514
 
16.9%
- 1224
 
13.6%
3 618
 
6.9%
8 550
 
6.1%
2 510
 
5.7%
9 269
 
3.0%
4 131
 
1.5%
5 124
 
1.4%
6 119
 
1.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7752
86.4%
Dash Punctuation 1224
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3802
49.0%
1 1514
 
19.5%
3 618
 
8.0%
8 550
 
7.1%
2 510
 
6.6%
9 269
 
3.5%
4 131
 
1.7%
5 124
 
1.6%
6 119
 
1.5%
7 115
 
1.5%
Dash Punctuation
ValueCountFrequency (%)
- 1224
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8976
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3802
42.4%
1 1514
 
16.9%
- 1224
 
13.6%
3 618
 
6.9%
8 550
 
6.1%
2 510
 
5.7%
9 269
 
3.0%
4 131
 
1.5%
5 124
 
1.4%
6 119
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8976
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3802
42.4%
1 1514
 
16.9%
- 1224
 
13.6%
3 618
 
6.9%
8 550
 
6.1%
2 510
 
5.7%
9 269
 
3.0%
4 131
 
1.5%
5 124
 
1.4%
6 119
 
1.3%
Distinct377
Distinct (%)92.4%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
Minimum1955-07-04 00:00:00
Maximum2024-04-30 00:00:00
2024-05-11T15:40:16.216812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:40:16.443774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing408
Missing (%)100.0%
Memory size3.7 KiB
Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
3
338 
1
70 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 338
82.8%
1 70
 
17.2%

Length

2024-05-11T15:40:16.633392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:40:16.785514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 338
82.8%
1 70
 
17.2%

영업상태명
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
폐업
338 
영업/정상
70 

Length

Max length5
Median length2
Mean length2.5147059
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 338
82.8%
영업/정상 70
 
17.2%

Length

2024-05-11T15:40:16.966905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:40:17.150566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 338
82.8%
영업/정상 70
 
17.2%
Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
2
338 
1
70 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 338
82.8%
1 70
 
17.2%

Length

2024-05-11T15:40:17.686440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:40:17.858581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 338
82.8%
1 70
 
17.2%
Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
폐업
338 
영업
70 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 338
82.8%
영업 70
 
17.2%

Length

2024-05-11T15:40:18.076487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:40:18.263744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 338
82.8%
영업 70
 
17.2%

폐업일자
Date

MISSING 

Distinct300
Distinct (%)88.8%
Missing70
Missing (%)17.2%
Memory size3.3 KiB
Minimum1990-11-07 00:00:00
Maximum2024-04-09 00:00:00
2024-05-11T15:40:18.479071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:40:18.764878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing408
Missing (%)100.0%
Memory size3.7 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing408
Missing (%)100.0%
Memory size3.7 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing408
Missing (%)100.0%
Memory size3.7 KiB

전화번호
Text

MISSING 

Distinct306
Distinct (%)91.3%
Missing73
Missing (%)17.9%
Memory size3.3 KiB
2024-05-11T15:40:19.235603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length9.9223881
Min length2

Characters and Unicode

Total characters3324
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

Unique295 ?
Unique (%)88.1%

Sample

1st row0002 4622747
2nd row070 41181477
3rd row02 863 2846
4th row02 5253448
5th row02 4970668
ValueCountFrequency (%)
02 206
36.3%
0 8
 
1.4%
031 2
 
0.4%
2
 
0.4%
4070101 2
 
0.4%
22711008 2
 
0.4%
0222778943 2
 
0.4%
0750 2
 
0.4%
421 2
 
0.4%
0002 2
 
0.4%
Other values (331) 338
59.5%
2024-05-11T15:40:20.075605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 728
21.9%
0 556
16.7%
323
9.7%
6 289
 
8.7%
4 249
 
7.5%
3 228
 
6.9%
7 227
 
6.8%
8 216
 
6.5%
5 179
 
5.4%
1 174
 
5.2%
Other values (2) 155
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2999
90.2%
Space Separator 323
 
9.7%
Other Punctuation 2
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 728
24.3%
0 556
18.5%
6 289
 
9.6%
4 249
 
8.3%
3 228
 
7.6%
7 227
 
7.6%
8 216
 
7.2%
5 179
 
6.0%
1 174
 
5.8%
9 153
 
5.1%
Space Separator
ValueCountFrequency (%)
323
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3324
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 728
21.9%
0 556
16.7%
323
9.7%
6 289
 
8.7%
4 249
 
7.5%
3 228
 
6.9%
7 227
 
6.8%
8 216
 
6.5%
5 179
 
5.4%
1 174
 
5.2%
Other values (2) 155
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3324
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 728
21.9%
0 556
16.7%
323
9.7%
6 289
 
8.7%
4 249
 
7.5%
3 228
 
6.9%
7 227
 
6.8%
8 216
 
6.5%
5 179
 
5.4%
1 174
 
5.2%
Other values (2) 155
 
4.7%

소재지면적
Text

MISSING 

Distinct247
Distinct (%)80.7%
Missing102
Missing (%)25.0%
Memory size3.3 KiB
2024-05-11T15:40:20.745838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length7
Mean length5.4542484
Min length3

Characters and Unicode

Total characters1669
Distinct characters12
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

Unique217 ?
Unique (%)70.9%

Sample

1st row124.58
2nd row345.00
3rd row68.70
4th row40.32
5th row39.60
ValueCountFrequency (%)
66.00 9
 
2.9%
00 8
 
2.6%
33.00 8
 
2.6%
50.00 4
 
1.3%
120.00 4
 
1.3%
91.00 3
 
1.0%
18.00 3
 
1.0%
165.00 3
 
1.0%
180.00 3
 
1.0%
60.00 3
 
1.0%
Other values (237) 258
84.3%
2024-05-11T15:40:21.590272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 391
23.4%
. 306
18.3%
1 173
10.4%
2 131
 
7.8%
6 120
 
7.2%
5 115
 
6.9%
3 99
 
5.9%
4 93
 
5.6%
8 85
 
5.1%
7 78
 
4.7%
Other values (2) 78
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1358
81.4%
Other Punctuation 311
 
18.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 391
28.8%
1 173
12.7%
2 131
 
9.6%
6 120
 
8.8%
5 115
 
8.5%
3 99
 
7.3%
4 93
 
6.8%
8 85
 
6.3%
7 78
 
5.7%
9 73
 
5.4%
Other Punctuation
ValueCountFrequency (%)
. 306
98.4%
, 5
 
1.6%

Most occurring scripts

ValueCountFrequency (%)
Common 1669
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 391
23.4%
. 306
18.3%
1 173
10.4%
2 131
 
7.8%
6 120
 
7.2%
5 115
 
6.9%
3 99
 
5.9%
4 93
 
5.6%
8 85
 
5.1%
7 78
 
4.7%
Other values (2) 78
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1669
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 391
23.4%
. 306
18.3%
1 173
10.4%
2 131
 
7.8%
6 120
 
7.2%
5 115
 
6.9%
3 99
 
5.9%
4 93
 
5.6%
8 85
 
5.1%
7 78
 
4.7%
Other values (2) 78
 
4.7%
Distinct212
Distinct (%)52.0%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
2024-05-11T15:40:22.178250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0416667
Min length6

Characters and Unicode

Total characters2465
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

Unique161 ?
Unique (%)39.5%

Sample

1st row133-829
2nd row100-330
3rd row153-803
4th row151-800
5th row133-832
ValueCountFrequency (%)
133832 19
 
4.7%
100310 10
 
2.5%
133831 10
 
2.5%
100195 10
 
2.5%
100411 9
 
2.2%
100400 9
 
2.2%
153813 9
 
2.2%
133835 9
 
2.2%
153803 9
 
2.2%
100015 8
 
2.0%
Other values (202) 306
75.0%
2024-05-11T15:40:22.980626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 589
23.9%
0 462
18.7%
3 432
17.5%
8 333
13.5%
5 191
 
7.7%
2 164
 
6.7%
4 120
 
4.9%
9 59
 
2.4%
7 50
 
2.0%
6 48
 
1.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2448
99.3%
Dash Punctuation 17
 
0.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 589
24.1%
0 462
18.9%
3 432
17.6%
8 333
13.6%
5 191
 
7.8%
2 164
 
6.7%
4 120
 
4.9%
9 59
 
2.4%
7 50
 
2.0%
6 48
 
2.0%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2465
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 589
23.9%
0 462
18.7%
3 432
17.5%
8 333
13.5%
5 191
 
7.7%
2 164
 
6.7%
4 120
 
4.9%
9 59
 
2.4%
7 50
 
2.0%
6 48
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2465
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 589
23.9%
0 462
18.7%
3 432
17.5%
8 333
13.5%
5 191
 
7.7%
2 164
 
6.7%
4 120
 
4.9%
9 59
 
2.4%
7 50
 
2.0%
6 48
 
1.9%
Distinct395
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
2024-05-11T15:40:23.349773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length39
Mean length23.504902
Min length17

Characters and Unicode

Total characters9590
Distinct characters223
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

Unique382 ?
Unique (%)93.6%

Sample

1st row서울특별시 성동구 성수동2가 642-2 (지상1층,지하1층)
2nd row서울특별시 중구 주교동 271-10
3rd row서울특별시 금천구 가산동 567-13
4th row서울특별시 관악구 남현동 1057-10
5th row서울특별시 성동구 성수동2가 277-40 센츄리프라자101호 지상1층
ValueCountFrequency (%)
서울특별시 407
 
22.0%
중구 123
 
6.6%
성동구 87
 
4.7%
성수동2가 60
 
3.2%
금천구 38
 
2.1%
영등포구 29
 
1.6%
1층 22
 
1.2%
구로구 20
 
1.1%
가산동 20
 
1.1%
지하1층 18
 
1.0%
Other values (647) 1026
55.5%
2024-05-11T15:40:23.896265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1822
19.0%
491
 
5.1%
1 486
 
5.1%
439
 
4.6%
427
 
4.5%
414
 
4.3%
407
 
4.2%
407
 
4.2%
407
 
4.2%
2 388
 
4.0%
Other values (213) 3902
40.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5154
53.7%
Decimal Number 2125
22.2%
Space Separator 1822
 
19.0%
Dash Punctuation 374
 
3.9%
Close Punctuation 42
 
0.4%
Open Punctuation 42
 
0.4%
Other Punctuation 16
 
0.2%
Uppercase Letter 11
 
0.1%
Math Symbol 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
491
 
9.5%
439
 
8.5%
427
 
8.3%
414
 
8.0%
407
 
7.9%
407
 
7.9%
407
 
7.9%
211
 
4.1%
181
 
3.5%
135
 
2.6%
Other values (188) 1635
31.7%
Decimal Number
ValueCountFrequency (%)
1 486
22.9%
2 388
18.3%
3 242
11.4%
7 181
 
8.5%
5 173
 
8.1%
4 172
 
8.1%
0 139
 
6.5%
6 126
 
5.9%
9 117
 
5.5%
8 101
 
4.8%
Uppercase Letter
ValueCountFrequency (%)
B 6
54.5%
A 2
 
18.2%
S 1
 
9.1%
D 1
 
9.1%
K 1
 
9.1%
Other Punctuation
ValueCountFrequency (%)
, 13
81.2%
. 2
 
12.5%
/ 1
 
6.2%
Close Punctuation
ValueCountFrequency (%)
) 32
76.2%
] 10
 
23.8%
Open Punctuation
ValueCountFrequency (%)
( 32
76.2%
[ 10
 
23.8%
Space Separator
ValueCountFrequency (%)
1822
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 374
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5154
53.7%
Common 4425
46.1%
Latin 11
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
491
 
9.5%
439
 
8.5%
427
 
8.3%
414
 
8.0%
407
 
7.9%
407
 
7.9%
407
 
7.9%
211
 
4.1%
181
 
3.5%
135
 
2.6%
Other values (188) 1635
31.7%
Common
ValueCountFrequency (%)
1822
41.2%
1 486
 
11.0%
2 388
 
8.8%
- 374
 
8.5%
3 242
 
5.5%
7 181
 
4.1%
5 173
 
3.9%
4 172
 
3.9%
0 139
 
3.1%
6 126
 
2.8%
Other values (10) 322
 
7.3%
Latin
ValueCountFrequency (%)
B 6
54.5%
A 2
 
18.2%
S 1
 
9.1%
D 1
 
9.1%
K 1
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5154
53.7%
ASCII 4436
46.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1822
41.1%
1 486
 
11.0%
2 388
 
8.7%
- 374
 
8.4%
3 242
 
5.5%
7 181
 
4.1%
5 173
 
3.9%
4 172
 
3.9%
0 139
 
3.1%
6 126
 
2.8%
Other values (15) 333
 
7.5%
Hangul
ValueCountFrequency (%)
491
 
9.5%
439
 
8.5%
427
 
8.3%
414
 
8.0%
407
 
7.9%
407
 
7.9%
407
 
7.9%
211
 
4.1%
181
 
3.5%
135
 
2.6%
Other values (188) 1635
31.7%

도로명주소
Text

MISSING 

Distinct149
Distinct (%)99.3%
Missing258
Missing (%)63.2%
Memory size3.3 KiB
2024-05-11T15:40:24.367486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length63
Median length47
Mean length32.92
Min length23

Characters and Unicode

Total characters4938
Distinct characters217
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

Unique148 ?
Unique (%)98.7%

Sample

1st row서울특별시 성동구 둘레길 111-1 (성수동2가,(지상1층,지하1층))
2nd row서울특별시 중구 을지로27가길 12-3, 지하,1층,2층 (주교동)
3rd row서울특별시 금천구 서부샛길 314 (가산동)
4th row서울특별시 관악구 남현2길 10 (남현동)
5th row서울특별시 성동구 성수이로24길 38, 지상1층 101호 (성수동2가, 277-40, 센츄리프라자)
ValueCountFrequency (%)
서울특별시 150
 
16.5%
중구 53
 
5.8%
성동구 32
 
3.5%
1층 21
 
2.3%
성수동2가 16
 
1.8%
금천구 14
 
1.5%
지하1층 14
 
1.5%
구로구 9
 
1.0%
영등포구 7
 
0.8%
3층 7
 
0.8%
Other values (418) 586
64.5%
2024-05-11T15:40:25.151129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
759
 
15.4%
1 256
 
5.2%
193
 
3.9%
165
 
3.3%
164
 
3.3%
162
 
3.3%
) 160
 
3.2%
( 160
 
3.2%
154
 
3.1%
150
 
3.0%
Other values (207) 2615
53.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2772
56.1%
Decimal Number 878
 
17.8%
Space Separator 759
 
15.4%
Close Punctuation 166
 
3.4%
Open Punctuation 166
 
3.4%
Other Punctuation 147
 
3.0%
Dash Punctuation 39
 
0.8%
Uppercase Letter 9
 
0.2%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
193
 
7.0%
165
 
6.0%
164
 
5.9%
162
 
5.8%
154
 
5.6%
150
 
5.4%
150
 
5.4%
150
 
5.4%
122
 
4.4%
104
 
3.8%
Other values (182) 1258
45.4%
Decimal Number
ValueCountFrequency (%)
1 256
29.2%
2 134
15.3%
3 107
12.2%
0 80
 
9.1%
4 74
 
8.4%
5 69
 
7.9%
7 49
 
5.6%
6 41
 
4.7%
9 37
 
4.2%
8 31
 
3.5%
Uppercase Letter
ValueCountFrequency (%)
B 5
55.6%
K 1
 
11.1%
S 1
 
11.1%
D 1
 
11.1%
A 1
 
11.1%
Other Punctuation
ValueCountFrequency (%)
, 145
98.6%
. 1
 
0.7%
/ 1
 
0.7%
Close Punctuation
ValueCountFrequency (%)
) 160
96.4%
] 6
 
3.6%
Open Punctuation
ValueCountFrequency (%)
( 160
96.4%
[ 6
 
3.6%
Space Separator
ValueCountFrequency (%)
759
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 39
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2772
56.1%
Common 2157
43.7%
Latin 9
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
193
 
7.0%
165
 
6.0%
164
 
5.9%
162
 
5.8%
154
 
5.6%
150
 
5.4%
150
 
5.4%
150
 
5.4%
122
 
4.4%
104
 
3.8%
Other values (182) 1258
45.4%
Common
ValueCountFrequency (%)
759
35.2%
1 256
 
11.9%
) 160
 
7.4%
( 160
 
7.4%
, 145
 
6.7%
2 134
 
6.2%
3 107
 
5.0%
0 80
 
3.7%
4 74
 
3.4%
5 69
 
3.2%
Other values (10) 213
 
9.9%
Latin
ValueCountFrequency (%)
B 5
55.6%
K 1
 
11.1%
S 1
 
11.1%
D 1
 
11.1%
A 1
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2772
56.1%
ASCII 2166
43.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
759
35.0%
1 256
 
11.8%
) 160
 
7.4%
( 160
 
7.4%
, 145
 
6.7%
2 134
 
6.2%
3 107
 
4.9%
0 80
 
3.7%
4 74
 
3.4%
5 69
 
3.2%
Other values (15) 222
 
10.2%
Hangul
ValueCountFrequency (%)
193
 
7.0%
165
 
6.0%
164
 
5.9%
162
 
5.8%
154
 
5.6%
150
 
5.4%
150
 
5.4%
150
 
5.4%
122
 
4.4%
104
 
3.8%
Other values (182) 1258
45.4%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct93
Distinct (%)64.1%
Missing263
Missing (%)64.5%
Infinite0
Infinite (%)0.0%
Mean5507.3103
Minimum2066
Maximum8805
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.7 KiB
2024-05-11T15:40:25.376851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2066
5-th percentile3790.2
Q14560
median4783
Q36724
95-th percentile8592
Maximum8805
Range6739
Interquartile range (IQR)2164

Descriptive statistics

Standard deviation1650.6229
Coefficient of variation (CV)0.29971489
Kurtosis-0.37861212
Mean5507.3103
Median Absolute Deviation (MAD)236
Skewness0.76331547
Sum798560
Variance2724556
MonotonicityNot monotonic
2024-05-11T15:40:25.652035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4547 8
 
2.0%
4561 6
 
1.5%
4546 5
 
1.2%
4790 4
 
1.0%
4559 4
 
1.0%
4787 4
 
1.0%
4793 3
 
0.7%
4799 3
 
0.7%
8592 3
 
0.7%
4616 3
 
0.7%
Other values (83) 102
 
25.0%
(Missing) 263
64.5%
ValueCountFrequency (%)
2066 1
0.2%
2144 1
0.2%
2478 1
0.2%
2535 2
0.5%
3123 1
0.2%
3477 1
0.2%
3661 1
0.2%
4307 1
0.2%
4332 1
0.2%
4361 1
0.2%
ValueCountFrequency (%)
8805 1
 
0.2%
8769 1
 
0.2%
8710 1
 
0.2%
8594 3
0.7%
8592 3
0.7%
8589 1
 
0.2%
8584 1
 
0.2%
8583 1
 
0.2%
8525 2
0.5%
8519 1
 
0.2%
Distinct386
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
2024-05-11T15:40:26.091989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length12
Mean length5.877451
Min length2

Characters and Unicode

Total characters2398
Distinct characters257
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique369 ?
Unique (%)90.4%

Sample

1st row명성프라스틱
2nd row자성팩 주식회사
3rd row(주)삼양패키징 구로공장
4th row하나그린팩 주식회사
5th row지앤에스상사
ValueCountFrequency (%)
주식회사 13
 
3.0%
신영화학 4
 
0.9%
천일화학 3
 
0.7%
주)유평프라스틱 3
 
0.7%
영진인쇄사 3
 
0.7%
고려상사 2
 
0.5%
주)남도피앤피 2
 
0.5%
우진앤플래닛(주 2
 
0.5%
일신공업사 2
 
0.5%
유라시아 2
 
0.5%
Other values (384) 392
91.6%
2024-05-11T15:40:26.757180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
125
 
5.2%
) 114
 
4.8%
( 114
 
4.8%
89
 
3.7%
83
 
3.5%
65
 
2.7%
62
 
2.6%
47
 
2.0%
45
 
1.9%
43
 
1.8%
Other values (247) 1611
67.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2111
88.0%
Close Punctuation 114
 
4.8%
Open Punctuation 114
 
4.8%
Uppercase Letter 21
 
0.9%
Space Separator 20
 
0.8%
Lowercase Letter 12
 
0.5%
Dash Punctuation 4
 
0.2%
Other Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
125
 
5.9%
89
 
4.2%
83
 
3.9%
65
 
3.1%
62
 
2.9%
47
 
2.2%
45
 
2.1%
43
 
2.0%
41
 
1.9%
41
 
1.9%
Other values (223) 1470
69.6%
Uppercase Letter
ValueCountFrequency (%)
P 4
19.0%
T 3
14.3%
N 2
9.5%
S 2
9.5%
G 2
9.5%
A 2
9.5%
C 2
9.5%
K 2
9.5%
E 1
 
4.8%
Q 1
 
4.8%
Lowercase Letter
ValueCountFrequency (%)
s 2
16.7%
r 2
16.7%
e 2
16.7%
p 1
8.3%
a 1
8.3%
w 1
8.3%
o 1
8.3%
h 1
8.3%
c 1
8.3%
Close Punctuation
ValueCountFrequency (%)
) 114
100.0%
Open Punctuation
ValueCountFrequency (%)
( 114
100.0%
Space Separator
ValueCountFrequency (%)
20
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2111
88.0%
Common 254
 
10.6%
Latin 33
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
125
 
5.9%
89
 
4.2%
83
 
3.9%
65
 
3.1%
62
 
2.9%
47
 
2.2%
45
 
2.1%
43
 
2.0%
41
 
1.9%
41
 
1.9%
Other values (223) 1470
69.6%
Latin
ValueCountFrequency (%)
P 4
 
12.1%
T 3
 
9.1%
N 2
 
6.1%
S 2
 
6.1%
s 2
 
6.1%
G 2
 
6.1%
r 2
 
6.1%
A 2
 
6.1%
C 2
 
6.1%
K 2
 
6.1%
Other values (9) 10
30.3%
Common
ValueCountFrequency (%)
) 114
44.9%
( 114
44.9%
20
 
7.9%
- 4
 
1.6%
. 2
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2111
88.0%
ASCII 287
 
12.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
125
 
5.9%
89
 
4.2%
83
 
3.9%
65
 
3.1%
62
 
2.9%
47
 
2.2%
45
 
2.1%
43
 
2.0%
41
 
1.9%
41
 
1.9%
Other values (223) 1470
69.6%
ASCII
ValueCountFrequency (%)
) 114
39.7%
( 114
39.7%
20
 
7.0%
P 4
 
1.4%
- 4
 
1.4%
T 3
 
1.0%
. 2
 
0.7%
N 2
 
0.7%
S 2
 
0.7%
s 2
 
0.7%
Other values (14) 20
 
7.0%
Distinct328
Distinct (%)80.4%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
Minimum1999-03-08 00:00:00
Maximum2024-04-30 15:38:24
2024-05-11T15:40:26.967940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:40:27.216239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
I
353 
U
55 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 353
86.5%
U 55
 
13.5%

Length

2024-05-11T15:40:27.471684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:40:27.623942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 353
86.5%
u 55
 
13.5%
Distinct66
Distinct (%)16.2%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:02:00
2024-05-11T15:40:27.848954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:40:28.109151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
용기.포장지제조업
408 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row용기.포장지제조업
2nd row용기.포장지제조업
3rd row용기.포장지제조업
4th row용기.포장지제조업
5th row용기.포장지제조업

Common Values

ValueCountFrequency (%)
용기.포장지제조업 408
100.0%

Length

2024-05-11T15:40:28.318232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:40:28.483733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
용기.포장지제조업 408
100.0%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct337
Distinct (%)90.6%
Missing36
Missing (%)8.8%
Infinite0
Infinite (%)0.0%
Mean198950.71
Minimum183692.42
Maximum212886.98
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.7 KiB
2024-05-11T15:40:28.652062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum183692.42
5-th percentile187979.2
Q1191529.68
median200197.12
Q3204624.41
95-th percentile207692.63
Maximum212886.98
Range29194.561
Interquartile range (IQR)13094.723

Descriptive statistics

Standard deviation6693.539
Coefficient of variation (CV)0.033644208
Kurtosis-0.88499238
Mean198950.71
Median Absolute Deviation (MAD)4758.7204
Skewness-0.37923658
Sum74009663
Variance44803464
MonotonicityNot monotonic
2024-05-11T15:40:28.883553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
200015.499568016 4
 
1.0%
205760.51132646 3
 
0.7%
205285.668276206 3
 
0.7%
190471.011035762 2
 
0.5%
199901.978387699 2
 
0.5%
200647.774323698 2
 
0.5%
200348.954118619 2
 
0.5%
200407.451666029 2
 
0.5%
190219.781497483 2
 
0.5%
190153.128546656 2
 
0.5%
Other values (327) 348
85.3%
(Missing) 36
 
8.8%
ValueCountFrequency (%)
183692.420729574 1
0.2%
184102.782470646 1
0.2%
184340.69299204 1
0.2%
184561.039903667 1
0.2%
184597.421722087 1
0.2%
185673.799087354 1
0.2%
185820.338980086 1
0.2%
186017.971604028 1
0.2%
186028.85499401 1
0.2%
186147.347710304 1
0.2%
ValueCountFrequency (%)
212886.98211449 1
0.2%
212653.953120326 1
0.2%
212455.130492113 1
0.2%
212070.378640083 1
0.2%
211808.976265118 1
0.2%
211264.551907172 1
0.2%
211226.672687787 1
0.2%
211061.484677738 1
0.2%
211053.931337893 2
0.5%
209707.794148793 1
0.2%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct337
Distinct (%)90.6%
Missing36
Missing (%)8.8%
Infinite0
Infinite (%)0.0%
Mean448759.26
Minimum438587.97
Maximum462589.62
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.7 KiB
2024-05-11T15:40:29.112613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum438587.97
5-th percentile441052.03
Q1447016.21
median449372.77
Q3451356.63
95-th percentile453956.06
Maximum462589.62
Range24001.646
Interquartile range (IQR)4340.4194

Descriptive statistics

Standard deviation4115.4197
Coefficient of variation (CV)0.0091706624
Kurtosis0.28576123
Mean448759.26
Median Absolute Deviation (MAD)2077.7619
Skewness-0.34728813
Sum1.6693844 × 108
Variance16936679
MonotonicityNot monotonic
2024-05-11T15:40:29.338690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
451485.349952584 4
 
1.0%
452366.451406107 3
 
0.7%
449135.382261814 3
 
0.7%
441054.073460679 2
 
0.5%
451537.747525964 2
 
0.5%
451185.016104119 2
 
0.5%
451424.609805236 2
 
0.5%
451499.111021702 2
 
0.5%
447191.540758246 2
 
0.5%
448779.57454276 2
 
0.5%
Other values (327) 348
85.3%
(Missing) 36
 
8.8%
ValueCountFrequency (%)
438587.971010721 1
0.2%
439005.878692812 1
0.2%
440401.86132155 1
0.2%
440512.820199234 1
0.2%
440562.258137266 1
0.2%
440588.586890064 1
0.2%
440609.342128829 1
0.2%
440654.863022242 2
0.5%
440657.674206814 1
0.2%
440696.477654521 1
0.2%
ValueCountFrequency (%)
462589.616940213 1
0.2%
461006.732041768 1
0.2%
460648.083303072 1
0.2%
460120.077910892 1
0.2%
458094.500344148 1
0.2%
458083.99392738 1
0.2%
457212.459056281 1
0.2%
456955.326843341 1
0.2%
456885.882471005 1
0.2%
456605.134081598 1
0.2%

위생업태명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
용기.포장지제조업
386 
<NA>
 
22

Length

Max length9
Median length9
Mean length8.7303922
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
용기.포장지제조업 386
94.6%
<NA> 22
 
5.4%

Length

2024-05-11T15:40:29.570519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:40:29.755854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
용기.포장지제조업 386
94.6%
na 22
 
5.4%

남성종사자수
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)4.2%
Missing219
Missing (%)53.7%
Infinite0
Infinite (%)0.0%
Mean0.35978836
Minimum0
Maximum13
Zeros169
Zeros (%)41.4%
Negative0
Negative (%)0.0%
Memory size3.7 KiB
2024-05-11T15:40:29.916547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2.6
Maximum13
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.4283125
Coefficient of variation (CV)3.9698685
Kurtosis43.869586
Mean0.35978836
Median Absolute Deviation (MAD)0
Skewness6.0427364
Sum68
Variance2.0400766
MonotonicityNot monotonic
2024-05-11T15:40:30.116700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 169
41.4%
2 6
 
1.5%
3 5
 
1.2%
1 4
 
1.0%
5 2
 
0.5%
10 1
 
0.2%
13 1
 
0.2%
4 1
 
0.2%
(Missing) 219
53.7%
ValueCountFrequency (%)
0 169
41.4%
1 4
 
1.0%
2 6
 
1.5%
3 5
 
1.2%
4 1
 
0.2%
5 2
 
0.5%
10 1
 
0.2%
13 1
 
0.2%
ValueCountFrequency (%)
13 1
 
0.2%
10 1
 
0.2%
5 2
 
0.5%
4 1
 
0.2%
3 5
 
1.2%
2 6
 
1.5%
1 4
 
1.0%
0 169
41.4%
Distinct4
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
<NA>
221 
0
174 
1
 
9
2
 
4

Length

Max length4
Median length4
Mean length2.625
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> 221
54.2%
0 174
42.6%
1 9
 
2.2%
2 4
 
1.0%

Length

2024-05-11T15:40:30.329373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:40:30.495021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 221
54.2%
0 174
42.6%
1 9
 
2.2%
2 4
 
1.0%
Distinct3
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
<NA>
283 
기타
94 
주택가주변
31 

Length

Max length5
Median length4
Mean length3.6151961
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> 283
69.4%
기타 94
 
23.0%
주택가주변 31
 
7.6%

Length

2024-05-11T15:40:30.687268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:40:30.879815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 283
69.4%
기타 94
 
23.0%
주택가주변 31
 
7.6%

등급구분명
Categorical

IMBALANCE 

Distinct6
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
<NA>
283 
기타
82 
자율
37 
관리
 
3
 
2

Length

Max length4
Median length4
Mean length3.3823529
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 283
69.4%
기타 82
 
20.1%
자율 37
 
9.1%
관리 3
 
0.7%
2
 
0.5%
우수 1
 
0.2%

Length

2024-05-11T15:40:31.405117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:40:31.618270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 283
69.4%
기타 82
 
20.1%
자율 37
 
9.1%
관리 3
 
0.7%
2
 
0.5%
우수 1
 
0.2%
Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
<NA>
290 
상수도전용
118 

Length

Max length5
Median length4
Mean length4.2892157
Min length4

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> 290
71.1%
상수도전용 118
28.9%

Length

2024-05-11T15:40:31.822529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:40:32.009636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 290
71.1%
상수도전용 118
28.9%

총인원
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
<NA>
259 
0
149 

Length

Max length4
Median length4
Mean length2.9044118
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> 259
63.5%
0 149
36.5%

Length

2024-05-11T15:40:32.198499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:40:32.371105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 259
63.5%
0 149
36.5%

본사종업원수
Categorical

IMBALANCE 

Distinct6
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
0
258 
<NA>
146 
6
 
1
14
 
1
4
 
1

Length

Max length4
Median length1
Mean length2.0759804
Min length1

Unique

Unique4 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 258
63.2%
<NA> 146
35.8%
6 1
 
0.2%
14 1
 
0.2%
4 1
 
0.2%
5 1
 
0.2%

Length

2024-05-11T15:40:32.604120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:40:32.825645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 258
63.2%
na 146
35.8%
6 1
 
0.2%
14 1
 
0.2%
4 1
 
0.2%
5 1
 
0.2%
Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
0
260 
<NA>
148 

Length

Max length4
Median length1
Mean length2.0882353
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 (%)
0 260
63.7%
<NA> 148
36.3%

Length

2024-05-11T15:40:33.039677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:40:33.248762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 260
63.7%
na 148
36.3%

공장판매직종업원수
Categorical

IMBALANCE 

Distinct5
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
0
256 
<NA>
148 
1
 
2
5
 
1
4
 
1

Length

Max length4
Median length1
Mean length2.0882353
Min length1

Unique

Unique2 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
0 256
62.7%
<NA> 148
36.3%
1 2
 
0.5%
5 1
 
0.2%
4 1
 
0.2%

Length

2024-05-11T15:40:33.433630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:40:33.658805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 256
62.7%
na 148
36.3%
1 2
 
0.5%
5 1
 
0.2%
4 1
 
0.2%

공장생산직종업원수
Categorical

IMBALANCE 

Distinct5
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
0
254 
<NA>
147 
2
 
5
3
 
1
1
 
1

Length

Max length4
Median length1
Mean length2.0808824
Min length1

Unique

Unique2 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
0 254
62.3%
<NA> 147
36.0%
2 5
 
1.2%
3 1
 
0.2%
1 1
 
0.2%

Length

2024-05-11T15:40:33.868355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:40:34.067594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 254
62.3%
na 147
36.0%
2 5
 
1.2%
3 1
 
0.2%
1 1
 
0.2%
Distinct3
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
<NA>
308 
임대
52 
자가
48 

Length

Max length4
Median length4
Mean length3.5098039
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> 308
75.5%
임대 52
 
12.7%
자가 48
 
11.8%

Length

2024-05-11T15:40:34.321985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:40:34.561715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 308
75.5%
임대 52
 
12.7%
자가 48
 
11.8%

보증액
Categorical

Distinct4
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
<NA>
248 
0
158 
18000000
 
1
21000000
 
1

Length

Max length8
Median length4
Mean length2.8578431
Min length1

Unique

Unique2 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 248
60.8%
0 158
38.7%
18000000 1
 
0.2%
21000000 1
 
0.2%

Length

2024-05-11T15:40:34.858432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:40:35.093075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 248
60.8%
0 158
38.7%
18000000 1
 
0.2%
21000000 1
 
0.2%

월세액
Categorical

Distinct4
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
<NA>
248 
0
158 
2000000
 
1
2400000
 
1

Length

Max length7
Median length4
Mean length2.8529412
Min length1

Unique

Unique2 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 248
60.8%
0 158
38.7%
2000000 1
 
0.2%
2400000 1
 
0.2%

Length

2024-05-11T15:40:35.325072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:40:35.531636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 248
60.8%
0 158
38.7%
2000000 1
 
0.2%
2400000 1
 
0.2%

다중이용업소여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)0.3%
Missing22
Missing (%)5.4%
Memory size948.0 B
False
386 
(Missing)
 
22
ValueCountFrequency (%)
False 386
94.6%
(Missing) 22
 
5.4%
2024-05-11T15:40:35.684134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

MISSING  ZEROS 

Distinct23
Distinct (%)6.0%
Missing22
Missing (%)5.4%
Infinite0
Infinite (%)0.0%
Mean8.6368912
Minimum0
Maximum781.52
Zeros364
Zeros (%)89.2%
Negative0
Negative (%)0.0%
Memory size3.7 KiB
2024-05-11T15:40:35.849539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile12.9975
Maximum781.52
Range781.52
Interquartile range (IQR)0

Descriptive statistics

Standard deviation59.603832
Coefficient of variation (CV)6.9010748
Kurtosis107.35003
Mean8.6368912
Median Absolute Deviation (MAD)0
Skewness9.783773
Sum3333.84
Variance3552.6168
MonotonicityNot monotonic
2024-05-11T15:40:36.093673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0.0 364
89.2%
60.0 1
 
0.2%
49.55 1
 
0.2%
85.68 1
 
0.2%
110.0 1
 
0.2%
186.09 1
 
0.2%
336.55 1
 
0.2%
20.0 1
 
0.2%
20.58 1
 
0.2%
14.0 1
 
0.2%
Other values (13) 13
 
3.2%
(Missing) 22
 
5.4%
ValueCountFrequency (%)
0.0 364
89.2%
4.65 1
 
0.2%
9.99 1
 
0.2%
14.0 1
 
0.2%
20.0 1
 
0.2%
20.58 1
 
0.2%
28.76 1
 
0.2%
29.7 1
 
0.2%
42.0 1
 
0.2%
49.55 1
 
0.2%
ValueCountFrequency (%)
781.52 1
0.2%
615.9 1
0.2%
386.97 1
0.2%
336.55 1
0.2%
208.5 1
0.2%
186.09 1
0.2%
147.68 1
0.2%
110.0 1
0.2%
85.68 1
0.2%
85.0 1
0.2%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing408
Missing (%)100.0%
Memory size3.7 KiB

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing408
Missing (%)100.0%
Memory size3.7 KiB

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing408
Missing (%)100.0%
Memory size3.7 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
030300003030000-118-2006-000012006-02-24<NA>1영업/정상1영업<NA><NA><NA><NA>0002 4622747<NA>133-829서울특별시 성동구 성수동2가 642-2 (지상1층,지하1층)서울특별시 성동구 둘레길 111-1 (성수동2가,(지상1층,지하1층))4776명성프라스틱2023-03-16 12:56:05U2022-12-02 23:08:00.0용기.포장지제조업204866.358789448063.969545<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
130100003010000-118-2021-000022021-03-03<NA>1영업/정상1영업<NA><NA><NA><NA>070 41181477124.58100-330서울특별시 중구 주교동 271-10서울특별시 중구 을지로27가길 12-3, 지하,1층,2층 (주교동)4546자성팩 주식회사2023-03-28 12:00:44U2022-12-02 21:00:00.0용기.포장지제조업199921.717022451715.90816<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
231700003170000-118-2014-000042014-09-24<NA>1영업/정상1영업<NA><NA><NA><NA>02 863 2846345.00153-803서울특별시 금천구 가산동 567-13서울특별시 금천구 서부샛길 314 (가산동)8594(주)삼양패키징 구로공장2023-04-18 15:39:44U2022-12-03 22:00:00.0용기.포장지제조업189768.794532440654.863022<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
332000003200000-118-1992-000141992-05-08<NA>1영업/정상1영업<NA><NA><NA><NA>02 525344868.70151-800서울특별시 관악구 남현동 1057-10서울특별시 관악구 남현2길 10 (남현동)8805하나그린팩 주식회사2023-07-11 11:11:26U2022-12-06 23:03:00.0용기.포장지제조업197875.305644441537.551023<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
430300003030000-118-2008-000012008-05-30<NA>3폐업2폐업2023-12-06<NA><NA><NA>02 497066840.32133-832서울특별시 성동구 성수동2가 277-40 센츄리프라자101호 지상1층서울특별시 성동구 성수이로24길 38, 지상1층 101호 (성수동2가, 277-40, 센츄리프라자)4798지앤에스상사2023-12-06 10:49:39U2022-11-02 00:08:00.0용기.포장지제조업205422.77256449084.126946<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
530200003020000-118-2003-000012003-07-04<NA>1영업/정상1영업<NA><NA><NA><NA>02 716483839.60140-869서울특별시 용산구 청파동1가 56서울특별시 용산구 청파로47나길 101, 1층 102호 (청파동1가)4307삼림피앤피2023-12-27 13:20:12U2022-11-01 22:09:00.0용기.포장지제조업197170.680258449650.1503<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
630400003040000-118-2011-000012011-07-19<NA>3폐업2폐업2024-04-09<NA><NA><NA>022245144233.00143-904서울특별시 광진구 중곡동 252-10 지하1층서울특별시 광진구 동일로 356, 지하1층 (중곡동)4916(주)푸드앤솝2024-04-09 15:22:43U2023-12-03 23:01:00.0용기.포장지제조업206636.627473451151.736448<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
732200003220000-118-2023-000012023-12-29<NA>1영업/정상1영업<NA><NA><NA><NA><NA>70.06135-200서울특별시 강남구 자곡동 649서울특별시 강남구 자곡로 174-10, 4층 408호 (자곡동)6373주식회사 티케이디앤피2023-12-29 14:23:18I2022-11-01 21:01:00.0용기.포장지제조업209038.198427441163.795721<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
830100003010000-118-2003-000022003-05-26<NA>3폐업2폐업2024-01-22<NA><NA><NA><NA>101.75100-411서울특별시 중구 광희동1가 127 호 2층서울특별시 중구 을지로42길 11-4 (광희동1가,호 2층)4561명문화학2024-01-22 13:54:21U2023-11-30 22:04:00.0용기.포장지제조업200458.389882451473.518057<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
932300003230000-118-2021-000012021-03-26<NA>1영업/정상1영업<NA><NA><NA><NA>02 4070101123.76138-807서울특별시 송파구 가락동 127-6 구담서울특별시 송파구 송이로27길 7, 지하1층 101호 (가락동, 구담)5827대풍2024-02-28 15:31:18U2023-12-03 00:01:00.0용기.포장지제조업211053.931338443479.875248<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
39832400003240000-118-1990-0046719900306<NA>3폐업2폐업20001213<NA><NA><NA>02 479088768.84134810서울특별시 강동구 길동 329-16<NA><NA>국제그라비아(주)2002-06-06 00:00:00I2018-08-31 23:59:59.0용기.포장지제조업212886.982114448902.433489용기.포장지제조업00주택가주변상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
39932400003240000-118-1999-0055519990602<NA>3폐업2폐업20000711<NA><NA><NA>02 475707797.94134845서울특별시 강동구 성내동 417-2<NA><NA>(주)영진양행2000-07-11 00:00:00I2018-08-31 23:59:59.0용기.포장지제조업211808.976265447454.571282용기.포장지제조업00기타자율상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
40032400003240000-118-2001-0116220011112<NA>3폐업2폐업20050803<NA><NA><NA>02 477285867.00134811서울특별시 강동구 길동 348-3<NA><NA>은진하이텍(주)2001-11-12 00:00:00I2018-08-31 23:59:59.0용기.포장지제조업212455.130492448730.679231용기.포장지제조업<NA><NA>주택가주변기타<NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
40132400003240000-118-1995-0046819950722<NA>3폐업2폐업19960731<NA><NA><NA>02 488054942.69134851서울특별시 강동구 성내동 563-0<NA><NA>거성화학2002-06-06 00:00:00I2018-08-31 23:59:59.0용기.포장지제조업211061.484678447291.651505용기.포장지제조업<NA><NA>주택가주변자율상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
40230100003010000-118-2019-0000220190614<NA>1영업/정상1영업<NA><NA><NA><NA><NA>79.14100281서울특별시 중구 인현동1가 101-2서울특별시 중구 을지로18길 46-7, 2층 (인현동1가)4549(주)유진애드프린팅2022-06-03 15:12:05U2021-12-06 00:08:00.0용기.포장지제조업199476.706956451453.068848<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
40331700003170000-118-2018-0000120180327<NA>3폐업2폐업20220609<NA><NA><NA>02 851 5427119.61153813서울특별시 금천구 독산동 291-1 현대지식산업센터서울특별시 금천구 두산로 70, 현대지식산업센터 A동 705호 (독산동)8584(주)한양패키지2022-06-09 10:30:20U2021-12-05 23:01:00.0용기.포장지제조업190694.880295440764.426278<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
40430100003010000-118-2022-0000120221104<NA>1영업/정상1영업<NA><NA><NA><NA><NA>23.00100281서울특별시 중구 인현동1가 124-2서울특별시 중구 마른내로4가길 16-8, 3층 (인현동1가)4556한솔피엔피2022-11-04 14:41:31I2021-11-01 00:06:00.0용기.포장지제조업199421.760522451265.397543<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
40530300003030000-118-2012-0000120121031<NA>1영업/정상1영업<NA><NA><NA><NA>02 467 662096.00133822서울특별시 성동구 성수동1가 13-109 지하1층서울특별시 성동구 상원10길 8-1, 지하1층 (성수동1가, 13-109)4790(주)한성리본2022-12-09 15:04:42U2021-11-01 23:01:00.0용기.포장지제조업204254.997862449669.670317<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
40632400003240000-118-2021-0000120210209<NA>3폐업2폐업20230120<NA><NA><NA>02 2277123992.73134843서울특별시 강동구 성내동 380-15서울특별시 강동구 양재대로103길 7, 지하1층 (성내동)5375장수실리콘2023-01-20 11:31:13U2022-11-30 22:02:00.0용기.포장지제조업212070.37864447845.77025<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
40730300003030000-118-2015-000042015-12-04<NA>3폐업2폐업2023-04-20<NA><NA><NA>02462 450088.45133-834서울특별시 성동구 성수동2가 300-4서울특별시 성동구 아차산로 103, 504호 (성수동2가, 영동테크노타워)4794우정베이크웨어(주)2023-04-20 13:46:07U2022-12-03 22:03:00.0용기.포장지제조업204859.957619449199.388104<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>