Overview

Dataset statistics

Number of variables27
Number of observations325
Missing cells2109
Missing cells (%)24.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory73.1 KiB
Average record size in memory230.4 B

Variable types

Categorical12
Numeric4
DateTime4
Unsupported4
Text3

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),제조구분명,사업장부지용도구분명
Author중구
URLhttps://data.seoul.go.kr/dataList/OA-19003/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
휴업시작일자 is highly imbalanced (95.5%)Imbalance
휴업종료일자 is highly imbalanced (94.8%)Imbalance
소재지면적 is highly imbalanced (97.0%)Imbalance
업태구분명 is highly imbalanced (80.4%)Imbalance
인허가취소일자 has 325 (100.0%) missing valuesMissing
폐업일자 has 208 (64.0%) missing valuesMissing
재개업일자 has 325 (100.0%) missing valuesMissing
전화번호 has 325 (100.0%) missing valuesMissing
소재지우편번호 has 325 (100.0%) missing valuesMissing
지번주소 has 8 (2.5%) missing valuesMissing
도로명주소 has 182 (56.0%) missing valuesMissing
도로명우편번호 has 257 (79.1%) missing valuesMissing
좌표정보(X) has 77 (23.7%) missing valuesMissing
좌표정보(Y) has 77 (23.7%) missing valuesMissing
관리번호 has unique valuesUnique
인허가취소일자 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
전화번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지우편번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-05-11 06:48:03.240373
Analysis finished2024-05-11 06:48:04.163025
Duration0.92 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
3010000
325 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3010000
2nd row3010000
3rd row3010000
4th row3010000
5th row3010000

Common Values

ValueCountFrequency (%)
3010000 325
100.0%

Length

2024-05-11T15:48:04.267093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:48:04.433208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3010000 325
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct325
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0024241 × 1018
Minimum1.969301 × 1018
Maximum2.024301 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2024-05-11T15:48:04.617603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.969301 × 1018
5-th percentile1.978301 × 1018
Q11.994301 × 1018
median2.002301 × 1018
Q32.012301 × 1018
95-th percentile2.021301 × 1018
Maximum2.024301 × 1018
Range5.5000014 × 1016
Interquartile range (IQR)1.8000003 × 1016

Descriptive statistics

Standard deviation1.2538718 × 1016
Coefficient of variation (CV)0.0062617693
Kurtosis-0.39203204
Mean2.0024241 × 1018
Median Absolute Deviation (MAD)8 × 1015
Skewness-0.3817992
Sum5.1517855 × 1018
Variance1.5721944 × 1032
MonotonicityStrictly increasing
2024-05-11T15:48:04.815397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1969301007102200062 1
 
0.3%
2008301010002100002 1
 
0.3%
2009301010002100006 1
 
0.3%
2009301010002100005 1
 
0.3%
2009301010002100004 1
 
0.3%
2009301010002100003 1
 
0.3%
2009301010002100002 1
 
0.3%
2009301010002100001 1
 
0.3%
2008301010002200008 1
 
0.3%
2008301010002200007 1
 
0.3%
Other values (315) 315
96.9%
ValueCountFrequency (%)
1969301007102200062 1
0.3%
1970301007102100054 1
0.3%
1970301007102200053 1
0.3%
1970301007102200055 1
0.3%
1971301007102200050 1
0.3%
1974301007102100046 1
0.3%
1976301007102200043 1
0.3%
1976301007102200044 1
0.3%
1977301007102100040 1
0.3%
1977301007102200035 1
0.3%
ValueCountFrequency (%)
2024301021502200001 1
0.3%
2023301021502200002 1
0.3%
2023301021502200001 1
0.3%
2023301021502100010 1
0.3%
2023301021502100003 1
0.3%
2023301021502100002 1
0.3%
2023301021502100001 1
0.3%
2022301017702200001 1
0.3%
2022301017702100006 1
0.3%
2022301017702100005 1
0.3%

인허가일자
Date

Distinct263
Distinct (%)80.9%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
Minimum1969-06-11 00:00:00
Maximum2024-03-13 00:00:00
2024-05-11T15:48:05.035729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:48:05.309557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing325
Missing (%)100.0%
Memory size3.0 KiB

영업상태코드
Categorical

Distinct3
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
1
207 
3
117 
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
1 207
63.7%
3 117
36.0%
2 1
 
0.3%

Length

2024-05-11T15:48:05.558295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:48:05.739709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 207
63.7%
3 117
36.0%
2 1
 
0.3%

영업상태명
Categorical

Distinct3
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
영업/정상
207 
폐업
117 
휴업
 
1

Length

Max length5
Median length5
Mean length3.9107692
Min length2

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 207
63.7%
폐업 117
36.0%
휴업 1
 
0.3%

Length

2024-05-11T15:48:05.921844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:48:06.133256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 207
63.7%
폐업 117
36.0%
휴업 1
 
0.3%

상세영업상태코드
Categorical

Distinct3
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
1
207 
3
117 
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
1 207
63.7%
3 117
36.0%
2 1
 
0.3%

Length

2024-05-11T15:48:06.333229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:48:06.535722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 207
63.7%
3 117
36.0%
2 1
 
0.3%

상세영업상태명
Categorical

Distinct3
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
영업중
207 
폐업
117 
휴업
 
1

Length

Max length3
Median length3
Mean length2.6369231
Min length2

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 207
63.7%
폐업 117
36.0%
휴업 1
 
0.3%

Length

2024-05-11T15:48:06.728906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:48:06.894037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 207
63.7%
폐업 117
36.0%
휴업 1
 
0.3%

폐업일자
Date

MISSING 

Distinct103
Distinct (%)88.0%
Missing208
Missing (%)64.0%
Memory size2.7 KiB
Minimum1974-09-24 00:00:00
Maximum2024-03-13 00:00:00
2024-05-11T15:48:07.100803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:48:07.676871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
<NA>
322 
20091117
 
1
20210426
 
1
20061002
 
1

Length

Max length8
Median length4
Mean length4.0369231
Min length4

Unique

Unique3 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 322
99.1%
20091117 1
 
0.3%
20210426 1
 
0.3%
20061002 1
 
0.3%

Length

2024-05-11T15:48:07.948698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:48:08.153571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 322
99.1%
20091117 1
 
0.3%
20210426 1
 
0.3%
20061002 1
 
0.3%

휴업종료일자
Categorical

IMBALANCE 

Distinct5
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
<NA>
321 
20100531
 
1
20040918
 
1
20230804
 
1
20071001
 
1

Length

Max length8
Median length4
Mean length4.0492308
Min length4

Unique

Unique4 ?
Unique (%)1.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 321
98.8%
20100531 1
 
0.3%
20040918 1
 
0.3%
20230804 1
 
0.3%
20071001 1
 
0.3%

Length

2024-05-11T15:48:08.357807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:48:08.573036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 321
98.8%
20100531 1
 
0.3%
20040918 1
 
0.3%
20230804 1
 
0.3%
20071001 1
 
0.3%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing325
Missing (%)100.0%
Memory size3.0 KiB

전화번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing325
Missing (%)100.0%
Memory size3.0 KiB

소재지면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
<NA>
324 
100
 
1

Length

Max length4
Median length4
Mean length3.9969231
Min length3

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 324
99.7%
100 1
 
0.3%

Length

2024-05-11T15:48:08.773643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:48:08.977996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 324
99.7%
100 1
 
0.3%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing325
Missing (%)100.0%
Memory size3.0 KiB

지번주소
Text

MISSING 

Distinct279
Distinct (%)88.0%
Missing8
Missing (%)2.5%
Memory size2.7 KiB
2024-05-11T15:48:09.402553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length32
Mean length20.697161
Min length14

Characters and Unicode

Total characters6561
Distinct characters220
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

Unique249 ?
Unique (%)78.5%

Sample

1st row서울특별시 중구 을지로4가 310-63
2nd row서울특별시 중구 장충동2가 산 5-5
3rd row서울특별시 중구 충무로1가 23-1 사보이호텔
4th row서울특별시 중구 초동 41
5th row서울특별시 중구 명동2가 60
ValueCountFrequency (%)
서울특별시 318
22.8%
중구 317
22.8%
장충동2가 24
 
1.7%
신당동 19
 
1.4%
남대문로5가 18
 
1.3%
태평로1가 17
 
1.2%
소공동 17
 
1.2%
서소문동 15
 
1.1%
을지로2가 12
 
0.9%
남창동 12
 
0.9%
Other values (357) 623
44.8%
2024-05-11T15:48:10.134485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1320
20.1%
서 361
 
5.5%
울 339
 
5.2%
시 331
 
5.0%
중 326
 
5.0%
별 325
 
5.0%
특 322
 
4.9%
1 320
 
4.9%
구 319
 
4.9%
동 213
 
3.2%
Other values (210) 2385
36.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3908
59.6%
Space Separator 1320
 
20.1%
Decimal Number 1128
 
17.2%
Dash Punctuation 168
 
2.6%
Lowercase Letter 17
 
0.3%
Uppercase Letter 15
 
0.2%
Close Punctuation 3
 
< 0.1%
Open Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 361
 
9.2%
울 339
 
8.7%
시 331
 
8.5%
중 326
 
8.3%
별 325
 
8.3%
특 322
 
8.2%
구 319
 
8.2%
동 213
 
5.5%
가 193
 
4.9%
로 114
 
2.9%
Other values (174) 1065
27.3%
Uppercase Letter
ValueCountFrequency (%)
K 2
13.3%
E 2
13.3%
U 1
 
6.7%
C 1
 
6.7%
F 1
 
6.7%
V 1
 
6.7%
L 1
 
6.7%
N 1
 
6.7%
A 1
 
6.7%
D 1
 
6.7%
Other values (3) 3
20.0%
Decimal Number
ValueCountFrequency (%)
1 320
28.4%
2 205
18.2%
5 121
 
10.7%
3 110
 
9.8%
4 77
 
6.8%
0 69
 
6.1%
7 67
 
5.9%
6 65
 
5.8%
8 52
 
4.6%
9 42
 
3.7%
Lowercase Letter
ValueCountFrequency (%)
n 4
23.5%
e 3
17.6%
i 3
17.6%
a 2
11.8%
r 1
 
5.9%
t 1
 
5.9%
c 1
 
5.9%
h 1
 
5.9%
s 1
 
5.9%
Space Separator
ValueCountFrequency (%)
1320
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 168
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3908
59.6%
Common 2621
39.9%
Latin 32
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 361
 
9.2%
울 339
 
8.7%
시 331
 
8.5%
중 326
 
8.3%
별 325
 
8.3%
특 322
 
8.2%
구 319
 
8.2%
동 213
 
5.5%
가 193
 
4.9%
로 114
 
2.9%
Other values (174) 1065
27.3%
Latin
ValueCountFrequency (%)
n 4
 
12.5%
e 3
 
9.4%
i 3
 
9.4%
K 2
 
6.2%
a 2
 
6.2%
E 2
 
6.2%
r 1
 
3.1%
t 1
 
3.1%
U 1
 
3.1%
C 1
 
3.1%
Other values (12) 12
37.5%
Common
ValueCountFrequency (%)
1320
50.4%
1 320
 
12.2%
2 205
 
7.8%
- 168
 
6.4%
5 121
 
4.6%
3 110
 
4.2%
4 77
 
2.9%
0 69
 
2.6%
7 67
 
2.6%
6 65
 
2.5%
Other values (4) 99
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3908
59.6%
ASCII 2653
40.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1320
49.8%
1 320
 
12.1%
2 205
 
7.7%
- 168
 
6.3%
5 121
 
4.6%
3 110
 
4.1%
4 77
 
2.9%
0 69
 
2.6%
7 67
 
2.5%
6 65
 
2.5%
Other values (26) 131
 
4.9%
Hangul
ValueCountFrequency (%)
서 361
 
9.2%
울 339
 
8.7%
시 331
 
8.5%
중 326
 
8.3%
별 325
 
8.3%
특 322
 
8.2%
구 319
 
8.2%
동 213
 
5.5%
가 193
 
4.9%
로 114
 
2.9%
Other values (174) 1065
27.3%

도로명주소
Text

MISSING 

Distinct135
Distinct (%)94.4%
Missing182
Missing (%)56.0%
Memory size2.7 KiB
2024-05-11T15:48:10.580033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length37
Mean length27.181818
Min length16

Characters and Unicode

Total characters3887
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

Unique127 ?
Unique (%)88.8%

Sample

1st row서울특별시 중구 명동8나길 10, 사보이호텔 (충무로1가)
2nd row서울특별시 중구 명동3길 60 (명동1가)
3rd row서울특별시 중구 퇴계로 187 (필동1가)
4th row서울특별시 중구 동호로 242, 제일빌딩 (장충동1가)
5th row서울특별시 중구 남대문시장4길 21 (남창동)
ValueCountFrequency (%)
서울특별시 143
 
18.2%
중구 143
 
18.2%
을지로 17
 
2.2%
퇴계로 14
 
1.8%
소공동 9
 
1.1%
청계천로 9
 
1.1%
남대문로5가 9
 
1.1%
서소문동 8
 
1.0%
남창동 7
 
0.9%
을지로6가 7
 
0.9%
Other values (253) 418
53.3%
2024-05-11T15:48:11.294949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
641
 
16.5%
로 187
 
4.8%
서 172
 
4.4%
시 151
 
3.9%
울 151
 
3.9%
중 150
 
3.9%
별 146
 
3.8%
구 145
 
3.7%
특 144
 
3.7%
) 144
 
3.7%
Other values (207) 1856
47.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2385
61.4%
Space Separator 641
 
16.5%
Decimal Number 478
 
12.3%
Close Punctuation 144
 
3.7%
Open Punctuation 143
 
3.7%
Other Punctuation 57
 
1.5%
Lowercase Letter 17
 
0.4%
Uppercase Letter 16
 
0.4%
Dash Punctuation 6
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 187
 
7.8%
서 172
 
7.2%
시 151
 
6.3%
울 151
 
6.3%
중 150
 
6.3%
별 146
 
6.1%
구 145
 
6.1%
특 144
 
6.0%
동 108
 
4.5%
가 85
 
3.6%
Other values (170) 946
39.7%
Uppercase Letter
ValueCountFrequency (%)
K 2
12.5%
L 2
12.5%
E 2
12.5%
A 1
 
6.2%
V 1
 
6.2%
F 1
 
6.2%
N 1
 
6.2%
C 1
 
6.2%
S 1
 
6.2%
D 1
 
6.2%
Other values (3) 3
18.8%
Decimal Number
ValueCountFrequency (%)
1 106
22.2%
2 81
16.9%
3 56
11.7%
4 44
9.2%
6 41
 
8.6%
0 39
 
8.2%
5 35
 
7.3%
9 28
 
5.9%
8 25
 
5.2%
7 23
 
4.8%
Lowercase Letter
ValueCountFrequency (%)
n 4
23.5%
i 3
17.6%
e 3
17.6%
a 2
11.8%
c 1
 
5.9%
t 1
 
5.9%
h 1
 
5.9%
s 1
 
5.9%
r 1
 
5.9%
Space Separator
ValueCountFrequency (%)
641
100.0%
Close Punctuation
ValueCountFrequency (%)
) 144
100.0%
Open Punctuation
ValueCountFrequency (%)
( 143
100.0%
Other Punctuation
ValueCountFrequency (%)
, 57
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2385
61.4%
Common 1469
37.8%
Latin 33
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 187
 
7.8%
서 172
 
7.2%
시 151
 
6.3%
울 151
 
6.3%
중 150
 
6.3%
별 146
 
6.1%
구 145
 
6.1%
특 144
 
6.0%
동 108
 
4.5%
가 85
 
3.6%
Other values (170) 946
39.7%
Latin
ValueCountFrequency (%)
n 4
 
12.1%
i 3
 
9.1%
e 3
 
9.1%
K 2
 
6.1%
L 2
 
6.1%
a 2
 
6.1%
E 2
 
6.1%
A 1
 
3.0%
V 1
 
3.0%
c 1
 
3.0%
Other values (12) 12
36.4%
Common
ValueCountFrequency (%)
641
43.6%
) 144
 
9.8%
( 143
 
9.7%
1 106
 
7.2%
2 81
 
5.5%
, 57
 
3.9%
3 56
 
3.8%
4 44
 
3.0%
6 41
 
2.8%
0 39
 
2.7%
Other values (5) 117
 
8.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2385
61.4%
ASCII 1502
38.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
641
42.7%
) 144
 
9.6%
( 143
 
9.5%
1 106
 
7.1%
2 81
 
5.4%
, 57
 
3.8%
3 56
 
3.7%
4 44
 
2.9%
6 41
 
2.7%
0 39
 
2.6%
Other values (27) 150
 
10.0%
Hangul
ValueCountFrequency (%)
로 187
 
7.8%
서 172
 
7.2%
시 151
 
6.3%
울 151
 
6.3%
중 150
 
6.3%
별 146
 
6.1%
구 145
 
6.1%
특 144
 
6.0%
동 108
 
4.5%
가 85
 
3.6%
Other values (170) 946
39.7%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct42
Distinct (%)61.8%
Missing257
Missing (%)79.1%
Infinite0
Infinite (%)0.0%
Mean4548.0441
Minimum4501
Maximum4637
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2024-05-11T15:48:11.553892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4501
5-th percentile4511.35
Q14523.25
median4538
Q34562.25
95-th percentile4624.85
Maximum4637
Range136
Interquartile range (IQR)39

Descriptive statistics

Standard deviation35.695827
Coefficient of variation (CV)0.0078486105
Kurtosis0.48559437
Mean4548.0441
Median Absolute Deviation (MAD)17
Skewness1.1957184
Sum309267
Variance1274.1921
MonotonicityNot monotonic
2024-05-11T15:48:11.766867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
4533 5
 
1.5%
4538 4
 
1.2%
4515 4
 
1.2%
4541 3
 
0.9%
4512 3
 
0.9%
4521 3
 
0.9%
4537 3
 
0.9%
4637 2
 
0.6%
4535 2
 
0.6%
4606 2
 
0.6%
Other values (32) 37
 
11.4%
(Missing) 257
79.1%
ValueCountFrequency (%)
4501 1
 
0.3%
4505 1
 
0.3%
4508 1
 
0.3%
4511 1
 
0.3%
4512 3
0.9%
4515 4
1.2%
4516 1
 
0.3%
4517 1
 
0.3%
4519 1
 
0.3%
4521 3
0.9%
ValueCountFrequency (%)
4637 2
0.6%
4629 1
0.3%
4628 1
0.3%
4619 1
0.3%
4618 2
0.6%
4611 1
0.3%
4606 2
0.6%
4605 1
0.3%
4572 1
0.3%
4568 1
0.3%

사업장명
Text

Distinct282
Distinct (%)86.8%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2024-05-11T15:48:12.107944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length27
Mean length10.255385
Min length3

Characters and Unicode

Total characters3333
Distinct characters350
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique254 ?
Unique (%)78.2%

Sample

1st row(주)주원
2nd row(주)어반오아시스
3rd row사보이호텔
4th row화성물산(주)스카라극장
5th row(주)개양
ValueCountFrequency (%)
주식회사 7
 
1.8%
에이블현대호텔앤리조트(주 5
 
1.3%
주)신한은행 5
 
1.3%
주)어반오아시스 4
 
1.0%
한화호텔앤드리조트(주 4
 
1.0%
롯데쇼핑(주 4
 
1.0%
서울특별시 4
 
1.0%
주)우리은행 3
 
0.8%
우리은행 3
 
0.8%
지하도상가 3
 
0.8%
Other values (308) 348
89.2%
2024-05-11T15:48:12.629814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 206
 
6.2%
) 206
 
6.2%
주 184
 
5.5%
65
 
2.0%
사 64
 
1.9%
호 57
 
1.7%
한 56
 
1.7%
서 54
 
1.6%
리 51
 
1.5%
산 50
 
1.5%
Other values (340) 2340
70.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2736
82.1%
Open Punctuation 206
 
6.2%
Close Punctuation 206
 
6.2%
Space Separator 65
 
2.0%
Decimal Number 49
 
1.5%
Uppercase Letter 48
 
1.4%
Lowercase Letter 8
 
0.2%
Other Symbol 6
 
0.2%
Other Punctuation 4
 
0.1%
Dash Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 184
 
6.7%
사 64
 
2.3%
호 57
 
2.1%
한 56
 
2.0%
서 54
 
2.0%
리 51
 
1.9%
산 50
 
1.8%
회 50
 
1.8%
이 46
 
1.7%
울 45
 
1.6%
Other values (299) 2079
76.0%
Uppercase Letter
ValueCountFrequency (%)
E 6
12.5%
O 5
 
10.4%
S 4
 
8.3%
D 4
 
8.3%
A 3
 
6.2%
C 3
 
6.2%
L 3
 
6.2%
K 2
 
4.2%
T 2
 
4.2%
I 2
 
4.2%
Other values (8) 14
29.2%
Decimal Number
ValueCountFrequency (%)
1 13
26.5%
2 12
24.5%
8 4
 
8.2%
6 4
 
8.2%
3 4
 
8.2%
9 3
 
6.1%
4 3
 
6.1%
7 3
 
6.1%
0 2
 
4.1%
5 1
 
2.0%
Lowercase Letter
ValueCountFrequency (%)
e 2
25.0%
f 2
25.0%
o 1
12.5%
r 1
12.5%
i 1
12.5%
c 1
12.5%
Open Punctuation
ValueCountFrequency (%)
( 206
100.0%
Close Punctuation
ValueCountFrequency (%)
) 206
100.0%
Space Separator
ValueCountFrequency (%)
65
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 6
100.0%
Other Punctuation
ValueCountFrequency (%)
. 4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2742
82.3%
Common 535
 
16.1%
Latin 56
 
1.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 184
 
6.7%
사 64
 
2.3%
호 57
 
2.1%
한 56
 
2.0%
서 54
 
2.0%
리 51
 
1.9%
산 50
 
1.8%
회 50
 
1.8%
이 46
 
1.7%
울 45
 
1.6%
Other values (300) 2085
76.0%
Latin
ValueCountFrequency (%)
E 6
 
10.7%
O 5
 
8.9%
S 4
 
7.1%
D 4
 
7.1%
A 3
 
5.4%
C 3
 
5.4%
L 3
 
5.4%
K 2
 
3.6%
T 2
 
3.6%
I 2
 
3.6%
Other values (14) 22
39.3%
Common
ValueCountFrequency (%)
( 206
38.5%
) 206
38.5%
65
 
12.1%
1 13
 
2.4%
2 12
 
2.2%
. 4
 
0.7%
8 4
 
0.7%
6 4
 
0.7%
3 4
 
0.7%
9 3
 
0.6%
Other values (6) 14
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2736
82.1%
ASCII 591
 
17.7%
None 6
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 206
34.9%
) 206
34.9%
65
 
11.0%
1 13
 
2.2%
2 12
 
2.0%
E 6
 
1.0%
O 5
 
0.8%
S 4
 
0.7%
D 4
 
0.7%
. 4
 
0.7%
Other values (30) 66
 
11.2%
Hangul
ValueCountFrequency (%)
주 184
 
6.7%
사 64
 
2.3%
호 57
 
2.1%
한 56
 
2.0%
서 54
 
2.0%
리 51
 
1.9%
산 50
 
1.8%
회 50
 
1.8%
이 46
 
1.7%
울 45
 
1.6%
Other values (299) 2079
76.0%
None
ValueCountFrequency (%)
㈜ 6
100.0%

최종수정일자
Date

Distinct320
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
Minimum2001-01-04 00:00:00
Maximum2024-04-25 15:59:10
2024-05-11T15:48:12.852418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:48:13.112447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
U
164 
I
161 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 164
50.5%
I 161
49.5%

Length

2024-05-11T15:48:13.382068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:48:13.524530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 164
50.5%
i 161
49.5%

데이터갱신일자
Date

Distinct144
Distinct (%)44.3%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:07:00
2024-05-11T15:48:13.673799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:48:13.878024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
제조
309 
저장소
 
14
판매
 
2

Length

Max length3
Median length2
Mean length2.0430769
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
제조 309
95.1%
저장소 14
 
4.3%
판매 2
 
0.6%

Length

2024-05-11T15:48:14.026194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:48:14.173388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제조 309
95.1%
저장소 14
 
4.3%
판매 2
 
0.6%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct183
Distinct (%)73.8%
Missing77
Missing (%)23.7%
Infinite0
Infinite (%)0.0%
Mean198745.52
Minimum197032.92
Maximum201853.83
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2024-05-11T15:48:14.355671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum197032.92
5-th percentile197375.18
Q1197897.01
median198307.78
Q3199437.99
95-th percentile200999.36
Maximum201853.83
Range4820.9037
Interquartile range (IQR)1540.9889

Descriptive statistics

Standard deviation1178.3968
Coefficient of variation (CV)0.0059291739
Kurtosis-0.43225849
Mean198745.52
Median Absolute Deviation (MAD)593.48809
Skewness0.82984341
Sum49288889
Variance1388618.9
MonotonicityNot monotonic
2024-05-11T15:48:14.553975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
198004.737917005 10
 
3.1%
198259.65357739 6
 
1.8%
200463.625303538 6
 
1.8%
199977.75993654 5
 
1.5%
198744.433228989 4
 
1.2%
197672.213473779 4
 
1.2%
200193.232424569 4
 
1.2%
198181.2456998 3
 
0.9%
198034.125156517 3
 
0.9%
198079.694295498 2
 
0.6%
Other values (173) 201
61.8%
(Missing) 77
 
23.7%
ValueCountFrequency (%)
197032.923485936 2
0.6%
197055.976795485 1
0.3%
197063.020822371 1
0.3%
197116.724150156 1
0.3%
197143.10408516 1
0.3%
197164.226466038 1
0.3%
197183.918975215 1
0.3%
197242.994816102 1
0.3%
197279.328436862 1
0.3%
197364.626754215 1
0.3%
ValueCountFrequency (%)
201853.827140376 1
0.3%
201823.908977364 1
0.3%
201479.69999167 1
0.3%
201363.777556422 2
0.6%
201287.882380288 2
0.6%
201243.161861433 1
0.3%
201236.031514508 2
0.6%
201149.954043799 1
0.3%
201010.262527 1
0.3%
200999.356221857 2
0.6%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct183
Distinct (%)73.8%
Missing77
Missing (%)23.7%
Infinite0
Infinite (%)0.0%
Mean451175.15
Minimum449777.52
Maximum452076.82
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2024-05-11T15:48:14.760486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum449777.52
5-th percentile450168.55
Q1450872.93
median451276.83
Q3451589.34
95-th percentile451812.4
Maximum452076.82
Range2299.3028
Interquartile range (IQR)716.4042

Descriptive statistics

Standard deviation512.14309
Coefficient of variation (CV)0.0011351314
Kurtosis0.28914522
Mean451175.15
Median Absolute Deviation (MAD)338.38932
Skewness-0.85443813
Sum1.1189144 × 108
Variance262290.55
MonotonicityNot monotonic
2024-05-11T15:48:14.979127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
451589.338993848 10
 
3.1%
451392.198218657 6
 
1.8%
450497.460903907 6
 
1.8%
449777.515840267 5
 
1.5%
451677.065126229 4
 
1.2%
451336.718396022 4
 
1.2%
449809.744684888 4
 
1.2%
451808.048376715 3
 
0.9%
451321.55784154 3
 
0.9%
450952.174489406 2
 
0.6%
Other values (173) 201
61.8%
(Missing) 77
 
23.7%
ValueCountFrequency (%)
449777.515840267 5
1.5%
449809.744684888 4
1.2%
450018.878351985 1
 
0.3%
450066.837234924 1
 
0.3%
450093.361161044 1
 
0.3%
450162.375666826 1
 
0.3%
450180.019066426 1
 
0.3%
450220.266556941 2
 
0.6%
450337.580626313 2
 
0.6%
450361.506112161 2
 
0.6%
ValueCountFrequency (%)
452076.818664092 1
0.3%
451995.163058 1
0.3%
451877.080833985 1
0.3%
451872.409388295 2
0.6%
451842.045761983 1
0.3%
451837.481623546 1
0.3%
451836.458256618 2
0.6%
451827.973207366 1
0.3%
451817.384038629 2
0.6%
451814.45954577 1
0.3%

제조구분명
Categorical

Distinct5
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
냉동
203 
<NA>
82 
일반
35 
충전
 
3
특정
 
2

Length

Max length4
Median length2
Mean length2.5046154
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row냉동
2nd row일반
3rd row냉동
4th row냉동
5th row냉동

Common Values

ValueCountFrequency (%)
냉동 203
62.5%
<NA> 82
25.2%
일반 35
 
10.8%
충전 3
 
0.9%
특정 2
 
0.6%

Length

2024-05-11T15:48:15.203873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:48:15.437427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
냉동 203
62.5%
na 82
25.2%
일반 35
 
10.8%
충전 3
 
0.9%
특정 2
 
0.6%

사업장부지용도구분명
Categorical

Distinct12
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
<NA>
128 
기타
84 
상업.업무용
52 
업무용
28 
상업용
16 
Other values (7)
17 

Length

Max length7
Median length6
Mean length3.68
Min length2

Unique

Unique4 ?
Unique (%)1.2%

Sample

1st row기타
2nd row주거용
3rd row상업.업무용
4th row상업.업무용
5th row기타

Common Values

ValueCountFrequency (%)
<NA> 128
39.4%
기타 84
25.8%
상업.업무용 52
16.0%
업무용 28
 
8.6%
상업용 16
 
4.9%
주거용 8
 
2.5%
지정되지않음 3
 
0.9%
공공용지등 2
 
0.6%
유해.혐오시설 1
 
0.3%
주.상복합용 1
 
0.3%
Other values (2) 2
 
0.6%

Length

2024-05-11T15:48:15.650026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 128
39.4%
기타 84
25.8%
상업.업무용 52
16.0%
업무용 28
 
8.6%
상업용 16
 
4.9%
주거용 8
 
2.5%
지정되지않음 3
 
0.9%
공공용지등 2
 
0.6%
유해.혐오시설 1
 
0.3%
주.상복합용 1
 
0.3%
Other values (2) 2
 
0.6%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)제조구분명사업장부지용도구분명
03010000196930100710220006219690611<NA>3폐업3폐업20020101<NA><NA><NA><NA><NA><NA>서울특별시 중구 을지로4가 310-63<NA><NA>(주)주원2020-12-14 10:23:52U2020-12-16 02:40:00.0제조<NA><NA>냉동기타
13010000197030100710210005420080829<NA>3폐업3폐업20101214<NA><NA><NA><NA><NA><NA>서울특별시 중구 장충동2가 산 5-5<NA><NA>(주)어반오아시스2010-12-14 17:12:20I2018-08-31 23:59:59.0제조200193.232425449809.744685일반주거용
23010000197030100710220005320100402<NA>1영업/정상1영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 충무로1가 23-1 사보이호텔서울특별시 중구 명동8나길 10, 사보이호텔 (충무로1가)4536사보이호텔2020-03-31 11:38:29U2020-04-02 02:40:00.0제조198543.6447451049.58062냉동상업.업무용
33010000197030100710220005519700630<NA>3폐업3폐업20081201<NA><NA><NA><NA><NA><NA>서울특별시 중구 초동 41<NA><NA>화성물산(주)스카라극장2021-12-30 09:58:57U2022-01-01 02:40:00.0제조<NA><NA>냉동상업.업무용
43010000197130100710220005019710803<NA>1영업/정상1영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 명동2가 60서울특별시 중구 명동3길 60 (명동1가)<NA>(주)개양2020-07-23 10:36:12U2020-07-25 02:40:00.0제조<NA><NA>냉동기타
5301000019743010071021000461974-09-24<NA>3폐업3폐업1974-09-24<NA><NA><NA><NA><NA><NA>서울특별시 중구 남대문로2가 123<NA><NA>(주)미도파2023-11-30 15:53:02U2022-11-02 00:02:00.0제조198315.532747451248.1416<NA><NA>
6301000019763010071022000431976-06-22<NA>3폐업3폐업2012-11-30<NA><NA><NA><NA><NA><NA>서울특별시 중구 충무로4가 12-1<NA><NA>일진빌딩2023-11-30 15:52:12U2022-11-02 00:02:00.0제조199403.987245451162.497985<NA><NA>
73010000197630100710220004419760622<NA>1영업/정상1영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 회현동3가 10<NA><NA>(주)뉴오리엔탈관광호텔2014-08-04 14:41:01I2018-08-31 23:59:59.0제조198491.235029450895.855107냉동상업.업무용
8301000019773010071021000401977-04-19<NA>3폐업3폐업1977-04-19<NA><NA><NA><NA><NA><NA>서울특별시 중구 소공동 87-1<NA><NA>서울시시설관리공단소지하2023-11-30 15:50:48U2022-11-02 00:02:00.0제조198172.151119451350.969223<NA><NA>
93010000197730100710220003520100622<NA>3폐업3폐업20150901<NA><NA><NA><NA><NA><NA>서울특별시 중구 저동2가 48-27<NA><NA>부동산2015-09-01 15:27:07I2018-08-31 23:59:59.0제조199088.322667451230.610149냉동상업.업무용
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)제조구분명사업장부지용도구분명
315301000020223010177021000052022-11-23<NA>3폐업3폐업2023-03-21<NA><NA><NA><NA><NA><NA>서울특별시 중구 장충동2가 201 반얀트리 클럽 앤 스파 서울<NA><NA>에이블현대호텔앤리조트(주)2023-04-07 14:04:39U2022-12-04 00:09:00.0제조199977.759937449777.51584<NA><NA>
316301000020223010177021000062022-12-01<NA>3폐업3폐업2023-03-06<NA><NA><NA><NA><NA><NA>서울특별시 중구 태평로1가 31 서울특별시청<NA><NA>(주)알앤알 스포츠2023-04-06 09:56:41U2022-12-04 00:08:00.0제조198004.737917451589.338994<NA><NA>
317301000020223010177022000012022-07-11<NA>1영업/정상1영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 충무로1가 21-17<NA><NA>(주)케이티에스테이트2023-07-13 10:23:11U2022-12-06 23:05:00.0제조198403.083197451049.012426<NA><NA>
318301000020233010215021000012023-11-20<NA>3폐업3폐업2024-03-13<NA><NA><NA><NA><NA><NA>서울특별시 중구 장충동2가 201 반얀트리 클럽 앤 스파 서울<NA><NA>에이블현대호텔앤리조트(주)2024-03-14 10:06:52U2023-12-02 23:06:00.0제조199977.759937449777.51584<NA><NA>
319301000020233010215021000022023-12-07<NA>3폐업3폐업2024-02-23<NA><NA><NA><NA><NA><NA>서울특별시 중구 태평로1가 31 서울특별시청<NA><NA>(주)아이스앤스포츠2024-02-29 10:45:27U2023-12-03 00:02:00.0제조198004.737917451589.338994<NA><NA>
320301000020233010215021000032023-12-28<NA>1영업/정상1영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 봉래동1가 57-2서울특별시 중구 칠패로 28 (봉래동1가)4512메리츠화재해상보험주식회사2024-03-12 17:11:05I2023-12-02 23:04:00.0제조197480.444643450772.41262<NA><NA>
321301000020233010215021000102023-12-28<NA>1영업/정상1영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 봉래동1가 57-2서울특별시 중구 칠패로 28 (봉래동1가)4512메리츠화재해상보험주식회사2024-01-02 14:26:51I2023-12-01 00:04:00.0제조197480.444643450772.41262<NA><NA>
322301000020233010215022000012023-02-10<NA>1영업/정상1영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 북창동 70-1<NA><NA>범화실업(주)2023-08-22 11:13:46U2022-12-07 22:04:00.0제조197947.537748451146.22347<NA><NA>
323301000020233010215022000022023-08-21<NA>1영업/정상1영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 소공동 1 롯데호텔서울특별시 중구 을지로 30, 롯데호텔 (소공동)4533(주)호텔롯데2023-09-20 16:35:10U2022-12-08 22:02:00.0제조198259.653577451392.198219<NA><NA>
324301000020243010215022000012024-03-13<NA>1영업/정상1영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 봉래동2가 지하역사<NA><NA>에스지레일 주식회사2024-03-13 14:36:48I2023-12-02 23:06:00.0제조<NA><NA><NA><NA>