Overview

Dataset statistics

Number of variables44
Number of observations1339
Missing cells13302
Missing cells (%)22.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory491.8 KiB
Average record size in memory376.1 B

Variable types

Categorical22
Text6
DateTime4
Unsupported7
Numeric4
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
Author금천구
URLhttps://data.seoul.go.kr/dataList/OA-18244/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
업태구분명 has constant value ""Constant
다중이용업소여부 has constant value ""Constant
데이터갱신구분 is highly imbalanced (60.3%)Imbalance
위생업태명 is highly imbalanced (68.0%)Imbalance
남성종사자수 is highly imbalanced (79.1%)Imbalance
여성종사자수 is highly imbalanced (79.1%)Imbalance
등급구분명 is highly imbalanced (56.0%)Imbalance
급수시설구분명 is highly imbalanced (84.5%)Imbalance
총인원 is highly imbalanced (90.7%)Imbalance
시설총규모 is highly imbalanced (68.0%)Imbalance
인허가취소일자 has 1339 (100.0%) missing valuesMissing
폐업일자 has 161 (12.0%) missing valuesMissing
휴업시작일자 has 1339 (100.0%) missing valuesMissing
휴업종료일자 has 1339 (100.0%) missing valuesMissing
재개업일자 has 1339 (100.0%) missing valuesMissing
전화번호 has 315 (23.5%) missing valuesMissing
소재지면적 has 1237 (92.4%) missing valuesMissing
도로명주소 has 1001 (74.8%) missing valuesMissing
도로명우편번호 has 1009 (75.4%) missing valuesMissing
좌표정보(X) has 61 (4.6%) missing valuesMissing
좌표정보(Y) has 61 (4.6%) missing valuesMissing
다중이용업소여부 has 78 (5.8%) missing valuesMissing
전통업소지정번호 has 1339 (100.0%) missing valuesMissing
전통업소주된음식 has 1339 (100.0%) missing valuesMissing
홈페이지 has 1339 (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
소재지면적 has 16 (1.2%) zerosZeros

Reproduction

Analysis started2024-05-11 06:38:34.577846
Analysis finished2024-05-11 06:38:36.911536
Duration2.33 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size10.6 KiB
3170000
1339 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3170000
2nd row3170000
3rd row3170000
4th row3170000
5th row3170000

Common Values

ValueCountFrequency (%)
3170000 1339
100.0%

Length

2024-05-11T15:38:37.042948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:38:37.214789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3170000 1339
100.0%

관리번호
Text

UNIQUE 

Distinct1339
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size10.6 KiB
2024-05-11T15:38:37.479537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters29458
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

Unique1339 ?
Unique (%)100.0%

Sample

1st row3170000-112-1980-00001
2nd row3170000-112-1980-00002
3rd row3170000-112-1980-00003
4th row3170000-112-1980-00004
5th row3170000-112-1980-00005
ValueCountFrequency (%)
3170000-112-1980-00001 1
 
0.1%
3170000-112-2003-00093 1
 
0.1%
3170000-112-2003-00091 1
 
0.1%
3170000-112-2003-00090 1
 
0.1%
3170000-112-2003-00089 1
 
0.1%
3170000-112-2003-00088 1
 
0.1%
3170000-112-2003-00087 1
 
0.1%
3170000-112-2003-00086 1
 
0.1%
3170000-112-2003-00085 1
 
0.1%
3170000-112-2003-00084 1
 
0.1%
Other values (1329) 1329
99.3%
2024-05-11T15:38:38.064029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 10778
36.6%
1 5356
18.2%
- 4017
 
13.6%
2 2649
 
9.0%
3 1828
 
6.2%
7 1671
 
5.7%
9 1208
 
4.1%
8 635
 
2.2%
4 463
 
1.6%
6 446
 
1.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 25441
86.4%
Dash Punctuation 4017
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 10778
42.4%
1 5356
21.1%
2 2649
 
10.4%
3 1828
 
7.2%
7 1671
 
6.6%
9 1208
 
4.7%
8 635
 
2.5%
4 463
 
1.8%
6 446
 
1.8%
5 407
 
1.6%
Dash Punctuation
ValueCountFrequency (%)
- 4017
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 29458
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 10778
36.6%
1 5356
18.2%
- 4017
 
13.6%
2 2649
 
9.0%
3 1828
 
6.2%
7 1671
 
5.7%
9 1208
 
4.1%
8 635
 
2.2%
4 463
 
1.6%
6 446
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 29458
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 10778
36.6%
1 5356
18.2%
- 4017
 
13.6%
2 2649
 
9.0%
3 1828
 
6.2%
7 1671
 
5.7%
9 1208
 
4.1%
8 635
 
2.2%
4 463
 
1.6%
6 446
 
1.5%

인허가일자
Date

Distinct660
Distinct (%)49.3%
Missing0
Missing (%)0.0%
Memory size10.6 KiB
Minimum1980-01-01 00:00:00
Maximum2024-05-03 00:00:00
2024-05-11T15:38:38.394462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:38:38.629485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1339
Missing (%)100.0%
Memory size11.9 KiB

영업상태코드
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size10.6 KiB
3
1178 
1
161 

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 1178
88.0%
1 161
 
12.0%

Length

2024-05-11T15:38:38.902442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:38:39.117013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 1178
88.0%
1 161
 
12.0%

영업상태명
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size10.6 KiB
폐업
1178 
영업/정상
161 

Length

Max length5
Median length2
Mean length2.360717
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 1178
88.0%
영업/정상 161
 
12.0%

Length

2024-05-11T15:38:39.337317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:38:39.530925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 1178
88.0%
영업/정상 161
 
12.0%

상세영업상태코드
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size10.6 KiB
2
1178 
1
161 

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 1178
88.0%
1 161
 
12.0%

Length

2024-05-11T15:38:39.716474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:38:39.879522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 1178
88.0%
1 161
 
12.0%

상세영업상태명
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size10.6 KiB
폐업
1178 
영업
161 

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 1178
88.0%
영업 161
 
12.0%

Length

2024-05-11T15:38:40.056290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:38:40.220291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 1178
88.0%
영업 161
 
12.0%

폐업일자
Date

MISSING 

Distinct837
Distinct (%)71.1%
Missing161
Missing (%)12.0%
Memory size10.6 KiB
Minimum1998-06-18 00:00:00
Maximum2024-04-23 00:00:00
2024-05-11T15:38:40.834735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:38:41.073542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1339
Missing (%)100.0%
Memory size11.9 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1339
Missing (%)100.0%
Memory size11.9 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1339
Missing (%)100.0%
Memory size11.9 KiB

전화번호
Text

MISSING 

Distinct796
Distinct (%)77.7%
Missing315
Missing (%)23.5%
Memory size10.6 KiB
2024-05-11T15:38:41.493562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length8.9208984
Min length2

Characters and Unicode

Total characters9135
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

Unique759 ?
Unique (%)74.1%

Sample

1st row02 8531251
2nd row02 8642685
3rd row02 8506114
4th row02 8651631
5th row02 8589830
ValueCountFrequency (%)
02 959
50.7%
8015502 17
 
0.9%
6363290 13
 
0.7%
8094370 10
 
0.5%
5293326 7
 
0.4%
070 4
 
0.2%
42176478 4
 
0.2%
031 4
 
0.2%
8685500 3
 
0.2%
805 3
 
0.2%
Other values (812) 867
45.8%
2024-05-11T15:38:42.213667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1724
18.9%
2 1515
16.6%
8 1234
13.5%
927
10.1%
5 646
 
7.1%
6 619
 
6.8%
3 552
 
6.0%
9 495
 
5.4%
4 482
 
5.3%
7 480
 
5.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8208
89.9%
Space Separator 927
 
10.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1724
21.0%
2 1515
18.5%
8 1234
15.0%
5 646
 
7.9%
6 619
 
7.5%
3 552
 
6.7%
9 495
 
6.0%
4 482
 
5.9%
7 480
 
5.8%
1 461
 
5.6%
Space Separator
ValueCountFrequency (%)
927
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9135
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1724
18.9%
2 1515
16.6%
8 1234
13.5%
927
10.1%
5 646
 
7.1%
6 619
 
6.8%
3 552
 
6.0%
9 495
 
5.4%
4 482
 
5.3%
7 480
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9135
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1724
18.9%
2 1515
16.6%
8 1234
13.5%
927
10.1%
5 646
 
7.1%
6 619
 
6.8%
3 552
 
6.0%
9 495
 
5.4%
4 482
 
5.3%
7 480
 
5.3%

소재지면적
Real number (ℝ)

MISSING  ZEROS 

Distinct54
Distinct (%)52.9%
Missing1237
Missing (%)92.4%
Infinite0
Infinite (%)0.0%
Mean18.074804
Minimum0
Maximum87.87
Zeros16
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2024-05-11T15:38:42.479331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13.3
median6.5
Q328.8175
95-th percentile65.4755
Maximum87.87
Range87.87
Interquartile range (IQR)25.5175

Descriptive statistics

Standard deviation21.398025
Coefficient of variation (CV)1.1838593
Kurtosis1.4133455
Mean18.074804
Median Absolute Deviation (MAD)6.5
Skewness1.4070694
Sum1843.63
Variance457.87547
MonotonicityNot monotonic
2024-05-11T15:38:42.709838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.3 27
 
2.0%
0.0 16
 
1.2%
33.0 5
 
0.4%
3.6 2
 
0.1%
25.0 2
 
0.1%
1.0 2
 
0.1%
3.4 1
 
0.1%
46.9 1
 
0.1%
47.02 1
 
0.1%
30.0 1
 
0.1%
Other values (44) 44
 
3.3%
(Missing) 1237
92.4%
ValueCountFrequency (%)
0.0 16
1.2%
0.4 1
 
0.1%
1.0 2
 
0.1%
3.3 27
2.0%
3.4 1
 
0.1%
3.6 2
 
0.1%
4.0 1
 
0.1%
6.0 1
 
0.1%
7.0 1
 
0.1%
9.0 1
 
0.1%
ValueCountFrequency (%)
87.87 1
0.1%
83.36 1
0.1%
76.0 1
0.1%
75.75 1
0.1%
69.3 1
0.1%
65.79 1
0.1%
59.5 1
0.1%
52.26 1
0.1%
50.23 1
0.1%
47.02 1
0.1%

소재지우편번호
Text

Distinct93
Distinct (%)7.0%
Missing3
Missing (%)0.2%
Memory size10.6 KiB
2024-05-11T15:38:43.118095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0419162
Min length6

Characters and Unicode

Total characters8072
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

Unique22 ?
Unique (%)1.6%

Sample

1st row153801
2nd row153801
3rd row153803
4th row153801
5th row153801
ValueCountFrequency (%)
153801 171
 
12.8%
153803 89
 
6.7%
153813 69
 
5.2%
153825 46
 
3.4%
153858 43
 
3.2%
153864 42
 
3.1%
153841 40
 
3.0%
153829 37
 
2.8%
153821 36
 
2.7%
153806 34
 
2.5%
Other values (83) 729
54.6%
2024-05-11T15:38:43.744486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1804
22.3%
3 1707
21.1%
5 1594
19.7%
8 1375
17.0%
0 588
 
7.3%
2 287
 
3.6%
6 248
 
3.1%
4 187
 
2.3%
9 124
 
1.5%
7 102
 
1.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8016
99.3%
Dash Punctuation 56
 
0.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1804
22.5%
3 1707
21.3%
5 1594
19.9%
8 1375
17.2%
0 588
 
7.3%
2 287
 
3.6%
6 248
 
3.1%
4 187
 
2.3%
9 124
 
1.5%
7 102
 
1.3%
Dash Punctuation
ValueCountFrequency (%)
- 56
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8072
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 1804
22.3%
3 1707
21.1%
5 1594
19.7%
8 1375
17.0%
0 588
 
7.3%
2 287
 
3.6%
6 248
 
3.1%
4 187
 
2.3%
9 124
 
1.5%
7 102
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8072
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1804
22.3%
3 1707
21.1%
5 1594
19.7%
8 1375
17.0%
0 588
 
7.3%
2 287
 
3.6%
6 248
 
3.1%
4 187
 
2.3%
9 124
 
1.5%
7 102
 
1.3%

지번주소
Text

Distinct1178
Distinct (%)88.2%
Missing3
Missing (%)0.2%
Memory size10.6 KiB
2024-05-11T15:38:44.222526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length47
Mean length24.843563
Min length17

Characters and Unicode

Total characters33191
Distinct characters294
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1091 ?
Unique (%)81.7%

Sample

1st row서울특별시 금천구 가산동 60-46 (백년길 58)
2nd row서울특별시 금천구 가산동 147-7
3rd row서울특별시 금천구 가산동 547-7
4th row서울특별시 금천구 가산동 60-21
5th row서울특별시 금천구 가산동 151-50
ValueCountFrequency (%)
금천구 1337
20.9%
서울특별시 1336
20.9%
독산동 550
 
8.6%
시흥동 449
 
7.0%
가산동 337
 
5.3%
지상1층 138
 
2.2%
1층 35
 
0.5%
시흥대로 32
 
0.5%
독산동길 18
 
0.3%
구로동길 13
 
0.2%
Other values (1498) 2144
33.6%
2024-05-11T15:38:44.973990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6301
19.0%
시 1837
 
5.5%
1 1581
 
4.8%
동 1399
 
4.2%
금 1371
 
4.1%
천 1366
 
4.1%
구 1358
 
4.1%
서 1343
 
4.0%
울 1342
 
4.0%
별 1338
 
4.0%
Other values (284) 13955
42.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 17418
52.5%
Decimal Number 7338
22.1%
Space Separator 6301
 
19.0%
Dash Punctuation 1320
 
4.0%
Open Punctuation 372
 
1.1%
Close Punctuation 372
 
1.1%
Uppercase Letter 52
 
0.2%
Other Punctuation 15
 
< 0.1%
Lowercase Letter 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 1837
10.5%
동 1399
 
8.0%
금 1371
 
7.9%
천 1366
 
7.8%
구 1358
 
7.8%
서 1343
 
7.7%
울 1342
 
7.7%
별 1338
 
7.7%
특 1336
 
7.7%
산 972
 
5.6%
Other values (244) 3756
21.6%
Uppercase Letter
ValueCountFrequency (%)
A 13
25.0%
B 8
15.4%
L 4
 
7.7%
C 4
 
7.7%
I 4
 
7.7%
T 3
 
5.8%
G 2
 
3.8%
P 2
 
3.8%
M 2
 
3.8%
J 2
 
3.8%
Other values (8) 8
15.4%
Decimal Number
ValueCountFrequency (%)
1 1581
21.5%
2 833
11.4%
9 809
11.0%
3 745
10.2%
0 742
10.1%
4 644
8.8%
8 586
 
8.0%
5 503
 
6.9%
6 467
 
6.4%
7 428
 
5.8%
Other Punctuation
ValueCountFrequency (%)
, 12
80.0%
/ 2
 
13.3%
: 1
 
6.7%
Lowercase Letter
ValueCountFrequency (%)
s 1
33.3%
k 1
33.3%
e 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 368
98.9%
[ 4
 
1.1%
Close Punctuation
ValueCountFrequency (%)
) 368
98.9%
] 4
 
1.1%
Space Separator
ValueCountFrequency (%)
6301
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1320
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 17417
52.5%
Common 15718
47.4%
Latin 55
 
0.2%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 1837
10.5%
동 1399
 
8.0%
금 1371
 
7.9%
천 1366
 
7.8%
구 1358
 
7.8%
서 1343
 
7.7%
울 1342
 
7.7%
별 1338
 
7.7%
특 1336
 
7.7%
산 972
 
5.6%
Other values (243) 3755
21.6%
Latin
ValueCountFrequency (%)
A 13
23.6%
B 8
14.5%
L 4
 
7.3%
C 4
 
7.3%
I 4
 
7.3%
T 3
 
5.5%
G 2
 
3.6%
P 2
 
3.6%
M 2
 
3.6%
J 2
 
3.6%
Other values (11) 11
20.0%
Common
ValueCountFrequency (%)
6301
40.1%
1 1581
 
10.1%
- 1320
 
8.4%
2 833
 
5.3%
9 809
 
5.1%
3 745
 
4.7%
0 742
 
4.7%
4 644
 
4.1%
8 586
 
3.7%
5 503
 
3.2%
Other values (9) 1654
 
10.5%
Han
ValueCountFrequency (%)
內 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 17417
52.5%
ASCII 15773
47.5%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6301
39.9%
1 1581
 
10.0%
- 1320
 
8.4%
2 833
 
5.3%
9 809
 
5.1%
3 745
 
4.7%
0 742
 
4.7%
4 644
 
4.1%
8 586
 
3.7%
5 503
 
3.2%
Other values (30) 1709
 
10.8%
Hangul
ValueCountFrequency (%)
시 1837
10.5%
동 1399
 
8.0%
금 1371
 
7.9%
천 1366
 
7.8%
구 1358
 
7.8%
서 1343
 
7.7%
울 1342
 
7.7%
별 1338
 
7.7%
특 1336
 
7.7%
산 972
 
5.6%
Other values (243) 3755
21.6%
CJK
ValueCountFrequency (%)
內 1
100.0%

도로명주소
Text

MISSING 

Distinct331
Distinct (%)97.9%
Missing1001
Missing (%)74.8%
Memory size10.6 KiB
2024-05-11T15:38:45.436940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length47
Mean length35.281065
Min length22

Characters and Unicode

Total characters11925
Distinct characters243
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

Unique324 ?
Unique (%)95.9%

Sample

1st row서울특별시 금천구 가산로9길 68 (가산동,(백년길 58))
2nd row서울특별시 금천구 가산로9길 22 (가산동,(백년길 36))
3rd row서울특별시 금천구 가산로9길 16 (가산동,(백년길 32))
4th row서울특별시 금천구 남부순환로112길 45 (가산동,(수풍길 22))
5th row서울특별시 금천구 가산로 120 (가산동,(구로동길 295))
ValueCountFrequency (%)
서울특별시 338
 
15.4%
금천구 338
 
15.4%
독산동 87
 
4.0%
가산동 77
 
3.5%
지상1층 76
 
3.5%
시흥동 72
 
3.3%
1층 55
 
2.5%
시흥대로 45
 
2.1%
가산디지털1로 19
 
0.9%
벚꽃로 15
 
0.7%
Other values (592) 1073
48.9%
2024-05-11T15:38:46.040927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1857
 
15.6%
1 610
 
5.1%
시 574
 
4.8%
) 435
 
3.6%
( 435
 
3.6%
금 388
 
3.3%
산 381
 
3.2%
동 376
 
3.2%
천 359
 
3.0%
로 355
 
3.0%
Other values (233) 6155
51.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6815
57.1%
Decimal Number 1955
 
16.4%
Space Separator 1857
 
15.6%
Close Punctuation 438
 
3.7%
Open Punctuation 438
 
3.7%
Other Punctuation 349
 
2.9%
Uppercase Letter 40
 
0.3%
Dash Punctuation 30
 
0.3%
Lowercase Letter 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 574
 
8.4%
금 388
 
5.7%
산 381
 
5.6%
동 376
 
5.5%
천 359
 
5.3%
로 355
 
5.2%
구 353
 
5.2%
서 352
 
5.2%
울 344
 
5.0%
별 339
 
5.0%
Other values (200) 2994
43.9%
Uppercase Letter
ValueCountFrequency (%)
B 9
22.5%
C 4
10.0%
M 4
10.0%
I 4
10.0%
L 4
10.0%
A 4
10.0%
T 3
 
7.5%
G 3
 
7.5%
P 1
 
2.5%
Y 1
 
2.5%
Other values (3) 3
 
7.5%
Decimal Number
ValueCountFrequency (%)
1 610
31.2%
2 243
 
12.4%
3 198
 
10.1%
0 170
 
8.7%
4 159
 
8.1%
5 120
 
6.1%
6 117
 
6.0%
9 114
 
5.8%
8 113
 
5.8%
7 111
 
5.7%
Lowercase Letter
ValueCountFrequency (%)
e 1
33.3%
s 1
33.3%
k 1
33.3%
Close Punctuation
ValueCountFrequency (%)
) 435
99.3%
] 3
 
0.7%
Open Punctuation
ValueCountFrequency (%)
( 435
99.3%
[ 3
 
0.7%
Space Separator
ValueCountFrequency (%)
1857
100.0%
Other Punctuation
ValueCountFrequency (%)
, 349
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 30
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6815
57.1%
Common 5067
42.5%
Latin 43
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 574
 
8.4%
금 388
 
5.7%
산 381
 
5.6%
동 376
 
5.5%
천 359
 
5.3%
로 355
 
5.2%
구 353
 
5.2%
서 352
 
5.2%
울 344
 
5.0%
별 339
 
5.0%
Other values (200) 2994
43.9%
Common
ValueCountFrequency (%)
1857
36.6%
1 610
 
12.0%
) 435
 
8.6%
( 435
 
8.6%
, 349
 
6.9%
2 243
 
4.8%
3 198
 
3.9%
0 170
 
3.4%
4 159
 
3.1%
5 120
 
2.4%
Other values (7) 491
 
9.7%
Latin
ValueCountFrequency (%)
B 9
20.9%
C 4
9.3%
M 4
9.3%
I 4
9.3%
L 4
9.3%
A 4
9.3%
T 3
 
7.0%
G 3
 
7.0%
e 1
 
2.3%
P 1
 
2.3%
Other values (6) 6
14.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6815
57.1%
ASCII 5110
42.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1857
36.3%
1 610
 
11.9%
) 435
 
8.5%
( 435
 
8.5%
, 349
 
6.8%
2 243
 
4.8%
3 198
 
3.9%
0 170
 
3.3%
4 159
 
3.1%
5 120
 
2.3%
Other values (23) 534
 
10.5%
Hangul
ValueCountFrequency (%)
시 574
 
8.4%
금 388
 
5.7%
산 381
 
5.6%
동 376
 
5.5%
천 359
 
5.3%
로 355
 
5.2%
구 353
 
5.2%
서 352
 
5.2%
울 344
 
5.0%
별 339
 
5.0%
Other values (200) 2994
43.9%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct134
Distinct (%)40.6%
Missing1009
Missing (%)75.4%
Infinite0
Infinite (%)0.0%
Mean8573.2273
Minimum8500
Maximum8657
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2024-05-11T15:38:46.278679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8500
5-th percentile8505
Q18529
median8573.5
Q38615
95-th percentile8651.55
Maximum8657
Range157
Interquartile range (IQR)86

Descriptive statistics

Standard deviation48.695567
Coefficient of variation (CV)0.0056799575
Kurtosis-1.2925231
Mean8573.2273
Median Absolute Deviation (MAD)44
Skewness0.14270379
Sum2829165
Variance2371.2582
MonotonicityNot monotonic
2024-05-11T15:38:46.507820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8513 8
 
0.6%
8547 7
 
0.5%
8510 6
 
0.4%
8511 6
 
0.4%
8584 6
 
0.4%
8576 6
 
0.4%
8644 6
 
0.4%
8656 6
 
0.4%
8652 5
 
0.4%
8589 5
 
0.4%
Other values (124) 269
 
20.1%
(Missing) 1009
75.4%
ValueCountFrequency (%)
8500 2
0.1%
8501 4
0.3%
8502 3
0.2%
8503 2
0.1%
8504 4
0.3%
8505 4
0.3%
8506 1
 
0.1%
8507 3
0.2%
8508 1
 
0.1%
8509 1
 
0.1%
ValueCountFrequency (%)
8657 2
 
0.1%
8656 6
0.4%
8654 3
0.2%
8653 1
 
0.1%
8652 5
0.4%
8651 3
0.2%
8650 1
 
0.1%
8649 3
0.2%
8648 1
 
0.1%
8645 4
0.3%

사업장명
Text

Distinct1229
Distinct (%)91.8%
Missing0
Missing (%)0.0%
Memory size10.6 KiB
2024-05-11T15:38:47.031362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length20
Mean length6.0291262
Min length2

Characters and Unicode

Total characters8073
Distinct characters571
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1161 ?
Unique (%)86.7%

Sample

1st row삼성인쇄
2nd row보석슈퍼
3rd row(주)고려
4th row일신통신(주)
5th row수도안경
ValueCountFrequency (%)
gs25 17
 
1.1%
씨유 16
 
1.0%
재)홍익회 12
 
0.8%
세븐일레븐 11
 
0.7%
새한벤쳐월드 11
 
0.7%
동아출판사 10
 
0.6%
이마트24 10
 
0.6%
진도본사 8
 
0.5%
신영섬유 7
 
0.4%
현대슈퍼 6
 
0.4%
Other values (1312) 1470
93.2%
2024-05-11T15:38:47.803015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
243
 
3.0%
점 170
 
2.1%
퍼 162
 
2.0%
산 160
 
2.0%
슈 119
 
1.5%
스 107
 
1.3%
이 107
 
1.3%
사 103
 
1.3%
금 96
 
1.2%
동 93
 
1.2%
Other values (561) 6713
83.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7162
88.7%
Decimal Number 264
 
3.3%
Space Separator 243
 
3.0%
Uppercase Letter 200
 
2.5%
Close Punctuation 82
 
1.0%
Open Punctuation 82
 
1.0%
Lowercase Letter 18
 
0.2%
Other Punctuation 10
 
0.1%
Dash Punctuation 9
 
0.1%
Other Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 170
 
2.4%
퍼 162
 
2.3%
산 160
 
2.2%
슈 119
 
1.7%
스 107
 
1.5%
이 107
 
1.5%
사 103
 
1.4%
금 96
 
1.3%
동 93
 
1.3%
식 93
 
1.3%
Other values (515) 5952
83.1%
Uppercase Letter
ValueCountFrequency (%)
G 56
28.0%
S 46
23.0%
C 27
13.5%
U 16
 
8.0%
L 11
 
5.5%
K 7
 
3.5%
P 7
 
3.5%
E 6
 
3.0%
O 4
 
2.0%
R 4
 
2.0%
Other values (9) 16
 
8.0%
Decimal Number
ValueCountFrequency (%)
2 89
33.7%
5 54
20.5%
4 36
13.6%
1 25
 
9.5%
3 17
 
6.4%
7 12
 
4.5%
9 9
 
3.4%
0 9
 
3.4%
6 7
 
2.7%
8 6
 
2.3%
Lowercase Letter
ValueCountFrequency (%)
e 3
16.7%
g 3
16.7%
k 3
16.7%
a 2
11.1%
c 2
11.1%
s 2
11.1%
f 2
11.1%
m 1
 
5.6%
Other Punctuation
ValueCountFrequency (%)
. 6
60.0%
, 2
 
20.0%
? 1
 
10.0%
& 1
 
10.0%
Space Separator
ValueCountFrequency (%)
243
100.0%
Close Punctuation
ValueCountFrequency (%)
) 82
100.0%
Open Punctuation
ValueCountFrequency (%)
( 82
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7165
88.8%
Common 690
 
8.5%
Latin 218
 
2.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 170
 
2.4%
퍼 162
 
2.3%
산 160
 
2.2%
슈 119
 
1.7%
스 107
 
1.5%
이 107
 
1.5%
사 103
 
1.4%
금 96
 
1.3%
동 93
 
1.3%
식 93
 
1.3%
Other values (516) 5955
83.1%
Latin
ValueCountFrequency (%)
G 56
25.7%
S 46
21.1%
C 27
12.4%
U 16
 
7.3%
L 11
 
5.0%
K 7
 
3.2%
P 7
 
3.2%
E 6
 
2.8%
O 4
 
1.8%
R 4
 
1.8%
Other values (17) 34
15.6%
Common
ValueCountFrequency (%)
243
35.2%
2 89
 
12.9%
) 82
 
11.9%
( 82
 
11.9%
5 54
 
7.8%
4 36
 
5.2%
1 25
 
3.6%
3 17
 
2.5%
7 12
 
1.7%
9 9
 
1.3%
Other values (8) 41
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7162
88.7%
ASCII 908
 
11.2%
None 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
243
26.8%
2 89
 
9.8%
) 82
 
9.0%
( 82
 
9.0%
G 56
 
6.2%
5 54
 
5.9%
S 46
 
5.1%
4 36
 
4.0%
C 27
 
3.0%
1 25
 
2.8%
Other values (35) 168
18.5%
Hangul
ValueCountFrequency (%)
점 170
 
2.4%
퍼 162
 
2.3%
산 160
 
2.2%
슈 119
 
1.7%
스 107
 
1.5%
이 107
 
1.5%
사 103
 
1.4%
금 96
 
1.3%
동 93
 
1.3%
식 93
 
1.3%
Other values (515) 5952
83.1%
None
ValueCountFrequency (%)
㈜ 3
100.0%

최종수정일자
Date

Distinct833
Distinct (%)62.2%
Missing0
Missing (%)0.0%
Memory size10.6 KiB
Minimum2000-12-08 00:00:00
Maximum2024-05-03 11:33:24
2024-05-11T15:38:48.016927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:38:48.264679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size10.6 KiB
I
1234 
U
 
105

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 1234
92.2%
U 105
 
7.8%

Length

2024-05-11T15:38:48.500040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:38:48.666303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 1234
92.2%
u 105
 
7.8%

데이터갱신일자
Date

Distinct154
Distinct (%)11.5%
Missing0
Missing (%)0.0%
Memory size10.6 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:05:00
2024-05-11T15:38:48.845123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:38:49.097021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size10.6 KiB
식품자동판매기영업
1339 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식품자동판매기영업 1339
100.0%

Length

2024-05-11T15:38:49.332135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:38:49.498805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식품자동판매기영업 1339
100.0%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct973
Distinct (%)76.1%
Missing61
Missing (%)4.6%
Infinite0
Infinite (%)0.0%
Mean190907.16
Minimum188808.52
Maximum192478.38
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2024-05-11T15:38:49.677529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum188808.52
5-th percentile189496.51
Q1190412.04
median191083.36
Q3191433.74
95-th percentile191876.89
Maximum192478.38
Range3669.859
Interquartile range (IQR)1021.7037

Descriptive statistics

Standard deviation743.74718
Coefficient of variation (CV)0.003895858
Kurtosis-0.30358327
Mean190907.16
Median Absolute Deviation (MAD)462.54966
Skewness-0.58871234
Sum2.4397935 × 108
Variance553159.86
MonotonicityNot monotonic
2024-05-11T15:38:49.973622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
190916.469867215 11
 
0.8%
189303.743525683 11
 
0.8%
189538.086389605 8
 
0.6%
190036.643235027 8
 
0.6%
190182.08312142 7
 
0.5%
191726.600362916 6
 
0.4%
189714.181832438 6
 
0.4%
189496.506240456 6
 
0.4%
190133.090867042 5
 
0.4%
191152.432649234 5
 
0.4%
Other values (963) 1205
90.0%
(Missing) 61
 
4.6%
ValueCountFrequency (%)
188808.521556281 1
0.1%
188838.724807964 1
0.1%
188887.197646973 1
0.1%
188968.189711073 2
0.1%
188974.800556597 1
0.1%
188981.555267121 1
0.1%
189048.327212596 1
0.1%
189055.138252216 2
0.1%
189065.818334596 1
0.1%
189067.117409684 1
0.1%
ValueCountFrequency (%)
192478.38051796 1
 
0.1%
192456.976836903 2
0.1%
192414.837596879 1
 
0.1%
192381.003520233 1
 
0.1%
192371.96913206 1
 
0.1%
192368.43764933 4
0.3%
192361.460767692 1
 
0.1%
192350.237217477 2
0.1%
192343.982564036 1
 
0.1%
192297.91598261 1
 
0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct973
Distinct (%)76.1%
Missing61
Missing (%)4.6%
Infinite0
Infinite (%)0.0%
Mean440411.4
Minimum436888.77
Maximum442636.32
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2024-05-11T15:38:50.187363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum436888.77
5-th percentile438240.54
Q1439234.43
median440728.38
Q3441516.09
95-th percentile442201.74
Maximum442636.32
Range5747.5466
Interquartile range (IQR)2281.659

Descriptive statistics

Standard deviation1311.0274
Coefficient of variation (CV)0.0029768245
Kurtosis-0.72779033
Mean440411.4
Median Absolute Deviation (MAD)944.02346
Skewness-0.52107765
Sum5.6284577 × 108
Variance1718792.9
MonotonicityNot monotonic
2024-05-11T15:38:50.409023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
439603.120857528 11
 
0.8%
442223.92565551 11
 
0.8%
442249.824956239 8
 
0.6%
441619.599657002 8
 
0.6%
441619.084699584 7
 
0.5%
440888.699596195 6
 
0.4%
441485.878214862 6
 
0.4%
442245.130584675 6
 
0.4%
440488.211247025 5
 
0.4%
438865.160717275 5
 
0.4%
Other values (963) 1205
90.0%
(Missing) 61
 
4.6%
ValueCountFrequency (%)
436888.773525926 2
0.1%
436909.870493711 1
0.1%
436911.774494656 1
0.1%
436946.358720615 2
0.1%
436953.782824253 1
0.1%
436985.862177293 1
0.1%
436991.446935421 1
0.1%
436999.258171772 2
0.1%
437099.172901614 1
0.1%
437188.189860689 1
0.1%
ValueCountFrequency (%)
442636.320100968 4
0.3%
442569.300676147 1
 
0.1%
442562.722742062 1
 
0.1%
442545.885794533 1
 
0.1%
442520.64227331 1
 
0.1%
442506.205501847 1
 
0.1%
442497.377672482 1
 
0.1%
442494.887441936 1
 
0.1%
442493.020182986 1
 
0.1%
442473.445721649 1
 
0.1%

위생업태명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size10.6 KiB
식품자동판매기영업
1261 
<NA>
 
78

Length

Max length9
Median length9
Mean length8.7087379
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식품자동판매기영업 1261
94.2%
<NA> 78
 
5.8%

Length

2024-05-11T15:38:50.654594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:38:50.838139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식품자동판매기영업 1261
94.2%
na 78
 
5.8%

남성종사자수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size10.6 KiB
<NA>
1295 
0
 
44

Length

Max length4
Median length4
Mean length3.901419
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> 1295
96.7%
0 44
 
3.3%

Length

2024-05-11T15:38:51.029551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:38:51.218548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1295
96.7%
0 44
 
3.3%

여성종사자수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size10.6 KiB
<NA>
1295 
0
 
44

Length

Max length4
Median length4
Mean length3.901419
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> 1295
96.7%
0 44
 
3.3%

Length

2024-05-11T15:38:51.416217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:38:51.603617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1295
96.7%
0 44
 
3.3%

영업장주변구분명
Categorical

Distinct6
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size10.6 KiB
<NA>
596 
주택가주변
395 
기타
341 
아파트지역
 
4
학교정화(상대)
 
2

Length

Max length8
Median length7
Mean length3.7968633
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 596
44.5%
주택가주변 395
29.5%
기타 341
25.5%
아파트지역 4
 
0.3%
학교정화(상대) 2
 
0.1%
결혼예식장주변 1
 
0.1%

Length

2024-05-11T15:38:51.775878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:38:51.978064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 596
44.5%
주택가주변 395
29.5%
기타 341
25.5%
아파트지역 4
 
0.3%
학교정화(상대 2
 
0.1%
결혼예식장주변 1
 
0.1%

등급구분명
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size10.6 KiB
기타
739 
<NA>
596 
자율
 
2
을
 
1
지도
 
1

Length

Max length4
Median length2
Mean length2.8894698
Min length1

Unique

Unique2 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
기타 739
55.2%
<NA> 596
44.5%
자율 2
 
0.1%
을 1
 
0.1%
지도 1
 
0.1%

Length

2024-05-11T15:38:52.240191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:38:52.430677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타 739
55.2%
na 596
44.5%
자율 2
 
0.1%
을 1
 
0.1%
지도 1
 
0.1%

급수시설구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size10.6 KiB
<NA>
1309 
상수도전용
 
30

Length

Max length5
Median length4
Mean length4.0224048
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> 1309
97.8%
상수도전용 30
 
2.2%

Length

2024-05-11T15:38:52.659469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:38:52.834955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1309
97.8%
상수도전용 30
 
2.2%

총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size10.6 KiB
<NA>
1323 
0
 
16

Length

Max length4
Median length4
Mean length3.9641524
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> 1323
98.8%
0 16
 
1.2%

Length

2024-05-11T15:38:53.436263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:38:53.622999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1323
98.8%
0 16
 
1.2%

본사종업원수
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size10.6 KiB
<NA>
981 
0
358 

Length

Max length4
Median length4
Mean length3.1979089
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> 981
73.3%
0 358
 
26.7%

Length

2024-05-11T15:38:53.809669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:38:53.998057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 981
73.3%
0 358
 
26.7%

공장사무직종업원수
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size10.6 KiB
<NA>
981 
0
358 

Length

Max length4
Median length4
Mean length3.1979089
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> 981
73.3%
0 358
 
26.7%

Length

2024-05-11T15:38:54.173794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:38:54.366598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 981
73.3%
0 358
 
26.7%

공장판매직종업원수
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size10.6 KiB
<NA>
981 
0
358 

Length

Max length4
Median length4
Mean length3.1979089
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> 981
73.3%
0 358
 
26.7%

Length

2024-05-11T15:38:54.600769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:38:54.768027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 981
73.3%
0 358
 
26.7%

공장생산직종업원수
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size10.6 KiB
<NA>
981 
0
358 

Length

Max length4
Median length4
Mean length3.1979089
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> 981
73.3%
0 358
 
26.7%

Length

2024-05-11T15:38:54.944329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:38:55.110591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 981
73.3%
0 358
 
26.7%

건물소유구분명
Categorical

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size10.6 KiB
<NA>
1012 
자가
302 
임대
 
25

Length

Max length4
Median length4
Mean length3.5115758
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> 1012
75.6%
자가 302
 
22.6%
임대 25
 
1.9%

Length

2024-05-11T15:38:55.303987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:38:55.485249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1012
75.6%
자가 302
 
22.6%
임대 25
 
1.9%

보증액
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size10.6 KiB
<NA>
1052 
0
287 

Length

Max length4
Median length4
Mean length3.3569828
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> 1052
78.6%
0 287
 
21.4%

Length

2024-05-11T15:38:55.657588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:38:55.869046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1052
78.6%
0 287
 
21.4%

월세액
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size10.6 KiB
<NA>
1052 
0
287 

Length

Max length4
Median length4
Mean length3.3569828
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> 1052
78.6%
0 287
 
21.4%

Length

2024-05-11T15:38:56.101554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:38:56.306197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1052
78.6%
0 287
 
21.4%

다중이용업소여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)0.1%
Missing78
Missing (%)5.8%
Memory size2.7 KiB
False
1261 
(Missing)
 
78
ValueCountFrequency (%)
False 1261
94.2%
(Missing) 78
 
5.8%
2024-05-11T15:38:56.434507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size10.6 KiB
0
1261 
<NA>
 
78

Length

Max length4
Median length1
Mean length1.1747573
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 1261
94.2%
<NA> 78
 
5.8%

Length

2024-05-11T15:38:56.632216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:38:56.859470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1261
94.2%
na 78
 
5.8%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1339
Missing (%)100.0%
Memory size11.9 KiB

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1339
Missing (%)100.0%
Memory size11.9 KiB

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1339
Missing (%)100.0%
Memory size11.9 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
031700003170000-112-1980-0000119800101<NA>3폐업2폐업20170113<NA><NA><NA>02 8531251<NA>153801서울특별시 금천구 가산동 60-46 (백년길 58)서울특별시 금천구 가산로9길 68 (가산동,(백년길 58))<NA>삼성인쇄2017-01-13 08:21:00I2018-08-31 23:59:59.0식품자동판매기영업190061.991696441541.26095식품자동판매기영업<NA><NA>주택가주변기타<NA><NA><NA><NA><NA><NA><NA><NA><NA>N0<NA><NA><NA>
131700003170000-112-1980-0000219800101<NA>3폐업2폐업20070904<NA><NA><NA>02 8642685<NA>153801서울특별시 금천구 가산동 147-7<NA><NA>보석슈퍼2002-01-13 00:00:00I2018-08-31 23:59:59.0식품자동판매기영업190735.518411441673.040113식품자동판매기영업<NA><NA>주택가주변기타<NA><NA><NA><NA><NA><NA><NA><NA><NA>N0<NA><NA><NA>
231700003170000-112-1980-0000319800101<NA>3폐업2폐업20051103<NA><NA><NA>02 8506114<NA>153803서울특별시 금천구 가산동 547-7<NA><NA>(주)고려2002-01-13 00:00:00I2018-08-31 23:59:59.0식품자동판매기영업189247.010461441711.408224식품자동판매기영업<NA><NA>주택가주변기타<NA><NA><NA><NA><NA><NA><NA><NA><NA>N0<NA><NA><NA>
331700003170000-112-1980-0000419800101<NA>3폐업2폐업20050811<NA><NA><NA>02 8651631<NA>153801서울특별시 금천구 가산동 60-21<NA><NA>일신통신(주)2002-01-13 00:00:00I2018-08-31 23:59:59.0식품자동판매기영업189863.598209441870.904203식품자동판매기영업<NA><NA>주택가주변기타<NA><NA><NA><NA><NA><NA><NA><NA><NA>N0<NA><NA><NA>
431700003170000-112-1980-0000519800101<NA>3폐업2폐업20010925<NA><NA><NA>02 8589830<NA>153801서울특별시 금천구 가산동 151-50<NA><NA>수도안경2002-01-13 00:00:00I2018-08-31 23:59:59.0식품자동판매기영업190413.613207441627.420448식품자동판매기영업<NA><NA>주택가주변기타<NA><NA><NA><NA><NA><NA><NA><NA><NA>N0<NA><NA><NA>
531700003170000-112-1980-0000619800101<NA>3폐업2폐업20070118<NA><NA><NA>02 8641410<NA>153801서울특별시 금천구 가산동 239-20<NA><NA>보령슈퍼2004-04-19 00:00:00I2018-08-31 23:59:59.0식품자동판매기영업189984.578917441329.141578식품자동판매기영업<NA><NA>주택가주변기타<NA><NA><NA><NA><NA><NA><NA><NA><NA>N0<NA><NA><NA>
631700003170000-112-1980-0000719800101<NA>3폐업2폐업20121026<NA><NA><NA>02 8390941<NA>153801서울특별시 금천구 가산동 144-3 (구로동길 284)<NA><NA>가산동사무소2008-01-15 10:11:07I2018-08-31 23:59:59.0식품자동판매기영업190355.313293441637.249989식품자동판매기영업<NA><NA>주택가주변기타상수도전용<NA>0000<NA><NA><NA>N0<NA><NA><NA>
731700003170000-112-1980-0000819800101<NA>3폐업2폐업20010728<NA><NA><NA>02 8036641<NA>153802서울특별시 금천구 가산동 326-4<NA><NA>새한정기(주)2002-01-13 00:00:00I2018-08-31 23:59:59.0식품자동판매기영업189898.28802440963.732731식품자동판매기영업<NA><NA>주택가주변기타<NA><NA><NA><NA><NA><NA><NA><NA><NA>N0<NA><NA><NA>
831700003170000-112-1980-0000919800101<NA>3폐업2폐업20010814<NA><NA><NA>02 8585709<NA>153800서울특별시 금천구 가산동 42-5<NA><NA>투다리2002-01-13 00:00:00I2018-08-31 23:59:59.0식품자동판매기영업189707.807863442252.556978식품자동판매기영업<NA><NA>기타기타<NA><NA><NA><NA><NA><NA><NA><NA><NA>N0<NA><NA><NA>
931700003170000-112-1980-0001019800101<NA>3폐업2폐업20040531<NA><NA><NA>02 8627657<NA>153800서울특별시 금천구 가산동 39-13<NA><NA>할매식당2002-01-13 00:00:00I2018-08-31 23:59:59.0식품자동판매기영업189575.319254442267.252188식품자동판매기영업<NA><NA>주택가주변기타<NA><NA><NA><NA><NA><NA><NA><NA><NA>N0<NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
132931700003170000-112-2024-000062024-04-09<NA>3폐업2폐업2024-04-16<NA><NA><NA><NA>65.79153-864서울특별시 금천구 시흥동 994-8서울특별시 금천구 시흥대로61길 5, 1호 (시흥동)8632미소마트2024-04-16 14:54:30U2023-12-03 23:08:00.0식품자동판매기영업191103.758271439103.0362<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
133031700003170000-112-2024-000072024-04-11<NA>1영업/정상1영업<NA><NA><NA><NA><NA>6.0153-818서울특별시 금천구 독산동 881-11서울특별시 금천구 독산로106길 37, 1층 (독산동)8547이마트24 독산센터점2024-04-11 14:54:20I2023-12-03 23:03:00.0식품자동판매기영업191601.031219441761.983493<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
133131700003170000-112-2024-000082024-04-12<NA>1영업/정상1영업<NA><NA><NA><NA><NA>3.3153-801서울특별시 금천구 가산동 147-25서울특별시 금천구 남부순환로112길 15, 1층 일부호 (가산동)8529지에스(GS25편의점)2024-04-12 14:33:54I2023-12-03 23:04:00.0식품자동판매기영업190645.544979441751.642807<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
133231700003170000-112-2024-000092024-04-17<NA>1영업/정상1영업<NA><NA><NA><NA><NA>26.25153-758서울특별시 금천구 독산동 711-2 금천현대아파트서울특별시 금천구 벚꽃로 73, 상가동 106호 (독산동, 금천현대아파트)8596카페인24 금천독산점2024-04-17 11:10:35I2023-12-03 23:09:00.0식품자동판매기영업190232.471382440016.250107<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
133331700003170000-112-2024-000102024-04-18<NA>1영업/정상1영업<NA><NA><NA><NA><NA>3.3153-801서울특별시 금천구 가산동 60-48서울특별시 금천구 디지털로9길 41, 1층 116호 (가산동)8511이마트24 R가산삼성점2024-04-18 14:12:50I2023-12-03 22:00:00.0식품자동판매기영업189844.090588441902.681311<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
133431700003170000-112-2024-000112024-04-19<NA>1영업/정상1영업<NA><NA><NA><NA><NA>9.9153-800서울특별시 금천구 가산동 39-13서울특별시 금천구 벚꽃로 314, 1층 (가산동)8509cafe 스마일2024-04-19 17:48:59I2023-12-03 22:01:00.0식품자동판매기영업189575.319254442267.252188<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
133531700003170000-112-2024-000122024-04-19<NA>1영업/정상1영업<NA><NA><NA><NA><NA>15.0153-860서울특별시 금천구 시흥동 935-89서울특별시 금천구 시흥대로40길 15, 1층 (시흥동)8649라라스픽2024-04-19 17:53:25I2023-12-03 22:01:00.0식품자동판매기영업191472.205741438399.831505<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
133631700003170000-112-2024-000132024-04-23<NA>1영업/정상1영업<NA><NA><NA><NA><NA>33.0153-801서울특별시 금천구 가산동 60-26서울특별시 금천구 디지털로 178, M143호 (가산동)8513씨유 퍼블릭가산 2호점2024-04-30 11:30:56U2023-12-05 00:02:00.0식품자동판매기영업189930.507904441616.46071<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
133731700003170000-112-2024-000142024-04-30<NA>1영업/정상1영업<NA><NA><NA><NA><NA>87.87153-829서울특별시 금천구 독산동 1007-13 e편한세상 독산 더타워서울특별시 금천구 범안로 1212, 판매시설 B22호 (독산동, e편한세상 독산 더타워)8603세븐일레븐 독산더타워점2024-04-30 14:49:28I2023-12-05 00:02:00.0식품자동판매기영업190757.148319440412.083688<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
133831700003170000-112-2024-000152024-05-03<NA>1영업/정상1영업<NA><NA><NA><NA><NA>3.3153-801서울특별시 금천구 가산동 236-19 대우조선해양건설빌딩서울특별시 금천구 가산로7길 53, 대우조선해양건설빌딩 2층 (가산동)8520대우조선해양건설2024-05-03 11:33:24I2023-12-05 00:05:00.0식품자동판매기영업190251.77151441357.426021<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>