Overview

Dataset statistics

Number of variables44
Number of observations326
Missing cells2985
Missing cells (%)20.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory119.8 KiB
Average record size in memory376.4 B

Variable types

Categorical20
Text6
DateTime4
Unsupported7
Numeric6
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
Author도봉구
URLhttps://data.seoul.go.kr/dataList/OA-18011/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
다중이용업소여부 has constant value ""Constant
남성종사자수 is highly imbalanced (58.3%)Imbalance
영업장주변구분명 is highly imbalanced (60.5%)Imbalance
등급구분명 is highly imbalanced (59.1%)Imbalance
총인원 is highly imbalanced (70.5%)Imbalance
본사종업원수 is highly imbalanced (51.1%)Imbalance
공장사무직종업원수 is highly imbalanced (70.5%)Imbalance
공장판매직종업원수 is highly imbalanced (70.5%)Imbalance
공장생산직종업원수 is highly imbalanced (70.5%)Imbalance
건물소유구분명 is highly imbalanced (62.1%)Imbalance
인허가취소일자 has 326 (100.0%) missing valuesMissing
폐업일자 has 184 (56.4%) missing valuesMissing
휴업시작일자 has 326 (100.0%) missing valuesMissing
휴업종료일자 has 326 (100.0%) missing valuesMissing
재개업일자 has 326 (100.0%) missing valuesMissing
전화번호 has 15 (4.6%) missing valuesMissing
소재지면적 has 80 (24.5%) missing valuesMissing
도로명주소 has 26 (8.0%) missing valuesMissing
도로명우편번호 has 29 (8.9%) missing valuesMissing
여성종사자수 has 277 (85.0%) missing valuesMissing
다중이용업소여부 has 43 (13.2%) missing valuesMissing
시설총규모 has 43 (13.2%) missing valuesMissing
전통업소지정번호 has 326 (100.0%) missing valuesMissing
전통업소주된음식 has 326 (100.0%) missing valuesMissing
홈페이지 has 326 (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 82 (25.2%) zerosZeros
여성종사자수 has 38 (11.7%) zerosZeros
시설총규모 has 132 (40.5%) zerosZeros

Reproduction

Analysis started2024-04-29 19:33:13.045583
Analysis finished2024-04-29 19:33:13.976336
Duration0.93 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
3090000
326 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3090000
2nd row3090000
3rd row3090000
4th row3090000
5th row3090000

Common Values

ValueCountFrequency (%)
3090000 326
100.0%

Length

2024-04-30T04:33:14.036178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:33:14.124514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3090000 326
100.0%

관리번호
Text

UNIQUE 

Distinct326
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2024-04-30T04:33:14.259553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters7172
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

Unique326 ?
Unique (%)100.0%

Sample

1st row3090000-105-1990-00001
2nd row3090000-105-1990-00003
3rd row3090000-105-1990-00007
4th row3090000-105-1990-00008
5th row3090000-105-1990-00042
ValueCountFrequency (%)
3090000-105-1990-00001 1
 
0.3%
3090000-105-2011-00008 1
 
0.3%
3090000-105-2013-00010 1
 
0.3%
3090000-105-2013-00009 1
 
0.3%
3090000-105-2013-00008 1
 
0.3%
3090000-105-2013-00007 1
 
0.3%
3090000-105-2013-00006 1
 
0.3%
3090000-105-2013-00005 1
 
0.3%
3090000-105-2013-00004 1
 
0.3%
3090000-105-2013-00003 1
 
0.3%
Other values (316) 316
96.9%
2024-04-30T04:33:14.543520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3582
49.9%
- 978
 
13.6%
1 640
 
8.9%
9 493
 
6.9%
5 419
 
5.8%
3 407
 
5.7%
2 381
 
5.3%
4 102
 
1.4%
6 63
 
0.9%
7 57
 
0.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6194
86.4%
Dash Punctuation 978
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3582
57.8%
1 640
 
10.3%
9 493
 
8.0%
5 419
 
6.8%
3 407
 
6.6%
2 381
 
6.2%
4 102
 
1.6%
6 63
 
1.0%
7 57
 
0.9%
8 50
 
0.8%
Dash Punctuation
ValueCountFrequency (%)
- 978
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7172
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3582
49.9%
- 978
 
13.6%
1 640
 
8.9%
9 493
 
6.9%
5 419
 
5.8%
3 407
 
5.7%
2 381
 
5.3%
4 102
 
1.4%
6 63
 
0.9%
7 57
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7172
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3582
49.9%
- 978
 
13.6%
1 640
 
8.9%
9 493
 
6.9%
5 419
 
5.8%
3 407
 
5.7%
2 381
 
5.3%
4 102
 
1.4%
6 63
 
0.9%
7 57
 
0.8%

인허가일자
Date

Distinct271
Distinct (%)83.1%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
Minimum1990-03-02 00:00:00
Maximum2023-03-17 00:00:00
2024-04-30T04:33:14.679843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:33:14.820099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing326
Missing (%)100.0%
Memory size3.0 KiB

영업상태코드
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
1
184 
3
142 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 184
56.4%
3 142
43.6%

Length

2024-04-30T04:33:14.943964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:33:15.028022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 184
56.4%
3 142
43.6%

영업상태명
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
영업/정상
184 
폐업
142 

Length

Max length5
Median length5
Mean length3.6932515
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 184
56.4%
폐업 142
43.6%

Length

2024-04-30T04:33:15.134198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:33:15.236774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 184
56.4%
폐업 142
43.6%

상세영업상태코드
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
1
184 
2
142 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 184
56.4%
2 142
43.6%

Length

2024-04-30T04:33:15.343530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:33:15.433869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 184
56.4%
2 142
43.6%

상세영업상태명
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
영업
184 
폐업
142 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업 184
56.4%
폐업 142
43.6%

Length

2024-04-30T04:33:15.517298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:33:15.616804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업 184
56.4%
폐업 142
43.6%

폐업일자
Date

MISSING 

Distinct134
Distinct (%)94.4%
Missing184
Missing (%)56.4%
Memory size2.7 KiB
Minimum1997-07-09 00:00:00
Maximum2024-03-07 00:00:00
2024-04-30T04:33:15.722916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:33:15.863550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing326
Missing (%)100.0%
Memory size3.0 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing326
Missing (%)100.0%
Memory size3.0 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing326
Missing (%)100.0%
Memory size3.0 KiB

전화번호
Text

MISSING 

Distinct290
Distinct (%)93.2%
Missing15
Missing (%)4.6%
Memory size2.7 KiB
2024-04-30T04:33:16.057337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length10.636656
Min length2

Characters and Unicode

Total characters3308
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

Unique272 ?
Unique (%)87.5%

Sample

1st row0234920151
2nd row0222896202
3rd row02 9923191
4th row02 9552321
5th row02 9550526
ValueCountFrequency (%)
02 231
36.9%
955 8
 
1.3%
990 6
 
1.0%
904 5
 
0.8%
901 4
 
0.6%
900 4
 
0.6%
907 4
 
0.6%
994 4
 
0.6%
6080 4
 
0.6%
992 3
 
0.5%
Other values (312) 353
56.4%
2024-04-30T04:33:16.350905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 621
18.8%
2 496
15.0%
9 495
15.0%
410
12.4%
3 228
 
6.9%
4 219
 
6.6%
5 201
 
6.1%
1 192
 
5.8%
6 171
 
5.2%
7 141
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2898
87.6%
Space Separator 410
 
12.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 621
21.4%
2 496
17.1%
9 495
17.1%
3 228
 
7.9%
4 219
 
7.6%
5 201
 
6.9%
1 192
 
6.6%
6 171
 
5.9%
7 141
 
4.9%
8 134
 
4.6%
Space Separator
ValueCountFrequency (%)
410
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3308
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 621
18.8%
2 496
15.0%
9 495
15.0%
410
12.4%
3 228
 
6.9%
4 219
 
6.6%
5 201
 
6.1%
1 192
 
5.8%
6 171
 
5.2%
7 141
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3308
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 621
18.8%
2 496
15.0%
9 495
15.0%
410
12.4%
3 228
 
6.9%
4 219
 
6.6%
5 201
 
6.1%
1 192
 
5.8%
6 171
 
5.2%
7 141
 
4.3%

소재지면적
Real number (ℝ)

MISSING  ZEROS 

Distinct135
Distinct (%)54.9%
Missing80
Missing (%)24.5%
Infinite0
Infinite (%)0.0%
Mean61.92374
Minimum0
Maximum556.8
Zeros82
Zeros (%)25.2%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2024-04-30T04:33:16.487327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median17.065
Q398.1925
95-th percentile263
Maximum556.8
Range556.8
Interquartile range (IQR)98.1925

Descriptive statistics

Standard deviation89.013059
Coefficient of variation (CV)1.4374626
Kurtosis6.204896
Mean61.92374
Median Absolute Deviation (MAD)17.065
Skewness2.202583
Sum15233.24
Variance7923.3246
MonotonicityNot monotonic
2024-04-30T04:33:16.595066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 82
25.2%
264.0 4
 
1.2%
13.2 4
 
1.2%
15.0 3
 
0.9%
93.44 3
 
0.9%
16.5 3
 
0.9%
27.53 2
 
0.6%
156.78 2
 
0.6%
26.4 2
 
0.6%
30.0 2
 
0.6%
Other values (125) 139
42.6%
(Missing) 80
24.5%
ValueCountFrequency (%)
0.0 82
25.2%
2.0 1
 
0.3%
4.32 1
 
0.3%
5.0 1
 
0.3%
5.9 1
 
0.3%
6.0 1
 
0.3%
6.2 1
 
0.3%
6.6 1
 
0.3%
7.5 1
 
0.3%
8.6 2
 
0.6%
ValueCountFrequency (%)
556.8 1
 
0.3%
452.05 1
 
0.3%
385.85 2
0.6%
375.96 1
 
0.3%
283.16 1
 
0.3%
273.57 1
 
0.3%
273.0 1
 
0.3%
271.99 1
 
0.3%
264.0 4
1.2%
260.0 1
 
0.3%

소재지우편번호
Text

Distinct128
Distinct (%)39.3%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2024-04-30T04:33:16.872854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.101227
Min length6

Characters and Unicode

Total characters1989
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

Unique59 ?
Unique (%)18.1%

Sample

1st row132854
2nd row132801
3rd row132854
4th row132-806
5th row132806
ValueCountFrequency (%)
132854 18
 
5.5%
132890 14
 
4.3%
132908 9
 
2.8%
132822 9
 
2.8%
132830 8
 
2.5%
132911 8
 
2.5%
132801 7
 
2.1%
132821 6
 
1.8%
132869 6
 
1.8%
132816 6
 
1.8%
Other values (118) 235
72.1%
2024-04-30T04:33:17.274532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 414
20.8%
1 413
20.8%
3 375
18.9%
8 268
13.5%
9 152
 
7.6%
0 120
 
6.0%
4 67
 
3.4%
5 56
 
2.8%
6 55
 
2.8%
7 36
 
1.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1956
98.3%
Dash Punctuation 33
 
1.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 414
21.2%
1 413
21.1%
3 375
19.2%
8 268
13.7%
9 152
 
7.8%
0 120
 
6.1%
4 67
 
3.4%
5 56
 
2.9%
6 55
 
2.8%
7 36
 
1.8%
Dash Punctuation
ValueCountFrequency (%)
- 33
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1989
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 414
20.8%
1 413
20.8%
3 375
18.9%
8 268
13.5%
9 152
 
7.6%
0 120
 
6.0%
4 67
 
3.4%
5 56
 
2.8%
6 55
 
2.8%
7 36
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1989
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 414
20.8%
1 413
20.8%
3 375
18.9%
8 268
13.5%
9 152
 
7.6%
0 120
 
6.0%
4 67
 
3.4%
5 56
 
2.8%
6 55
 
2.8%
7 36
 
1.8%

지번주소
Text

Distinct304
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2024-04-30T04:33:17.537590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length35
Mean length24.687117
Min length17

Characters and Unicode

Total characters8048
Distinct characters188
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique288 ?
Unique (%)88.3%

Sample

1st row서울특별시 도봉구 방학동 708-2번지
2nd row서울특별시 도봉구 도봉동 62-3번지
3rd row서울특별시 도봉구 방학동 720-0번지
4th row서울특별시 도봉구 도봉동 282-212
5th row서울특별시 도봉구 도봉동 381-1번지
ValueCountFrequency (%)
서울특별시 326
21.6%
도봉구 326
21.6%
창동 103
 
6.8%
쌍문동 84
 
5.6%
방학동 84
 
5.6%
도봉동 57
 
3.8%
지하1층 19
 
1.3%
지상1층 10
 
0.7%
내 7
 
0.5%
지상2층 7
 
0.5%
Other values (379) 486
32.2%
2024-04-30T04:33:17.908562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1462
18.2%
도 397
 
4.9%
봉 397
 
4.9%
동 353
 
4.4%
서 336
 
4.2%
울 333
 
4.1%
시 331
 
4.1%
구 331
 
4.1%
특 326
 
4.1%
별 326
 
4.1%
Other values (178) 3456
42.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4849
60.3%
Space Separator 1462
 
18.2%
Decimal Number 1428
 
17.7%
Dash Punctuation 256
 
3.2%
Close Punctuation 22
 
0.3%
Open Punctuation 22
 
0.3%
Other Punctuation 7
 
0.1%
Other Symbol 1
 
< 0.1%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 397
 
8.2%
봉 397
 
8.2%
동 353
 
7.3%
서 336
 
6.9%
울 333
 
6.9%
시 331
 
6.8%
구 331
 
6.8%
특 326
 
6.7%
별 326
 
6.7%
지 315
 
6.5%
Other values (160) 1404
29.0%
Decimal Number
ValueCountFrequency (%)
1 233
16.3%
6 178
12.5%
3 168
11.8%
2 164
11.5%
0 151
10.6%
4 128
9.0%
5 122
8.5%
7 117
8.2%
8 99
6.9%
9 68
 
4.8%
Other Punctuation
ValueCountFrequency (%)
, 6
85.7%
. 1
 
14.3%
Space Separator
ValueCountFrequency (%)
1462
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 256
100.0%
Close Punctuation
ValueCountFrequency (%)
) 22
100.0%
Open Punctuation
ValueCountFrequency (%)
( 22
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%
Uppercase Letter
ValueCountFrequency (%)
C 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4850
60.3%
Common 3197
39.7%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 397
 
8.2%
봉 397
 
8.2%
동 353
 
7.3%
서 336
 
6.9%
울 333
 
6.9%
시 331
 
6.8%
구 331
 
6.8%
특 326
 
6.7%
별 326
 
6.7%
지 315
 
6.5%
Other values (161) 1405
29.0%
Common
ValueCountFrequency (%)
1462
45.7%
- 256
 
8.0%
1 233
 
7.3%
6 178
 
5.6%
3 168
 
5.3%
2 164
 
5.1%
0 151
 
4.7%
4 128
 
4.0%
5 122
 
3.8%
7 117
 
3.7%
Other values (6) 218
 
6.8%
Latin
ValueCountFrequency (%)
C 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4849
60.3%
ASCII 3198
39.7%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1462
45.7%
- 256
 
8.0%
1 233
 
7.3%
6 178
 
5.6%
3 168
 
5.3%
2 164
 
5.1%
0 151
 
4.7%
4 128
 
4.0%
5 122
 
3.8%
7 117
 
3.7%
Other values (7) 219
 
6.8%
Hangul
ValueCountFrequency (%)
도 397
 
8.2%
봉 397
 
8.2%
동 353
 
7.3%
서 336
 
6.9%
울 333
 
6.9%
시 331
 
6.8%
구 331
 
6.8%
특 326
 
6.7%
별 326
 
6.7%
지 315
 
6.5%
Other values (160) 1404
29.0%
None
ValueCountFrequency (%)
㈜ 1
100.0%

도로명주소
Text

MISSING 

Distinct271
Distinct (%)90.3%
Missing26
Missing (%)8.0%
Memory size2.7 KiB
2024-04-30T04:33:18.209759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length42
Mean length29.13
Min length22

Characters and Unicode

Total characters8739
Distinct characters188
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique252 ?
Unique (%)84.0%

Sample

1st row서울특별시 도봉구 방학로 76 (방학동)
2nd row서울특별시 도봉구 도봉산길 50 (도봉동)
3rd row서울특별시 도봉구 평화로15번길 9-25 (도봉동)
4th row서울특별시 도봉구 도봉로 718, 지하1층 (방학동)
5th row서울특별시 도봉구 마들로 656 (방학동)
ValueCountFrequency (%)
서울특별시 300
18.0%
도봉구 300
18.0%
창동 79
 
4.7%
쌍문동 68
 
4.1%
방학동 68
 
4.1%
도봉동 46
 
2.8%
마들로 26
 
1.6%
도봉로 20
 
1.2%
지하1층 18
 
1.1%
시루봉로 17
 
1.0%
Other values (407) 727
43.6%
2024-04-30T04:33:18.593576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1369
 
15.7%
봉 467
 
5.3%
도 454
 
5.2%
시 332
 
3.8%
동 323
 
3.7%
( 322
 
3.7%
) 322
 
3.7%
서 309
 
3.5%
울 306
 
3.5%
구 304
 
3.5%
Other values (178) 4231
48.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5230
59.8%
Space Separator 1369
 
15.7%
Decimal Number 1282
 
14.7%
Open Punctuation 322
 
3.7%
Close Punctuation 322
 
3.7%
Other Punctuation 157
 
1.8%
Dash Punctuation 55
 
0.6%
Other Symbol 1
 
< 0.1%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
봉 467
 
8.9%
도 454
 
8.7%
시 332
 
6.3%
동 323
 
6.2%
서 309
 
5.9%
울 306
 
5.9%
구 304
 
5.8%
특 300
 
5.7%
별 300
 
5.7%
로 295
 
5.6%
Other values (160) 1840
35.2%
Decimal Number
ValueCountFrequency (%)
1 286
22.3%
6 161
12.6%
3 154
12.0%
2 140
10.9%
4 110
 
8.6%
5 108
 
8.4%
0 94
 
7.3%
9 88
 
6.9%
7 78
 
6.1%
8 63
 
4.9%
Other Punctuation
ValueCountFrequency (%)
, 156
99.4%
. 1
 
0.6%
Space Separator
ValueCountFrequency (%)
1369
100.0%
Open Punctuation
ValueCountFrequency (%)
( 322
100.0%
Close Punctuation
ValueCountFrequency (%)
) 322
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 55
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%
Uppercase Letter
ValueCountFrequency (%)
C 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5231
59.9%
Common 3507
40.1%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
봉 467
 
8.9%
도 454
 
8.7%
시 332
 
6.3%
동 323
 
6.2%
서 309
 
5.9%
울 306
 
5.8%
구 304
 
5.8%
특 300
 
5.7%
별 300
 
5.7%
로 295
 
5.6%
Other values (161) 1841
35.2%
Common
ValueCountFrequency (%)
1369
39.0%
( 322
 
9.2%
) 322
 
9.2%
1 286
 
8.2%
6 161
 
4.6%
, 156
 
4.4%
3 154
 
4.4%
2 140
 
4.0%
4 110
 
3.1%
5 108
 
3.1%
Other values (6) 379
 
10.8%
Latin
ValueCountFrequency (%)
C 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5230
59.8%
ASCII 3508
40.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1369
39.0%
( 322
 
9.2%
) 322
 
9.2%
1 286
 
8.2%
6 161
 
4.6%
, 156
 
4.4%
3 154
 
4.4%
2 140
 
4.0%
4 110
 
3.1%
5 108
 
3.1%
Other values (7) 380
 
10.8%
Hangul
ValueCountFrequency (%)
봉 467
 
8.9%
도 454
 
8.7%
시 332
 
6.3%
동 323
 
6.2%
서 309
 
5.9%
울 306
 
5.9%
구 304
 
5.8%
특 300
 
5.7%
별 300
 
5.7%
로 295
 
5.6%
Other values (160) 1840
35.2%
None
ValueCountFrequency (%)
㈜ 1
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct125
Distinct (%)42.1%
Missing29
Missing (%)8.9%
Infinite0
Infinite (%)0.0%
Mean1384.0438
Minimum1300
Maximum1489
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2024-04-30T04:33:18.709953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1300
5-th percentile1305
Q11337
median1377
Q31427
95-th percentile1474.2
Maximum1489
Range189
Interquartile range (IQR)90

Descriptive statistics

Standard deviation53.453959
Coefficient of variation (CV)0.038621582
Kurtosis-1.0602421
Mean1384.0438
Median Absolute Deviation (MAD)46
Skewness0.19296547
Sum411061
Variance2857.3258
MonotonicityNot monotonic
2024-04-30T04:33:18.822483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1366 8
 
2.5%
1330 8
 
2.5%
1316 8
 
2.5%
1424 7
 
2.1%
1438 6
 
1.8%
1460 6
 
1.8%
1305 6
 
1.8%
1334 6
 
1.8%
1356 5
 
1.5%
1301 5
 
1.5%
Other values (115) 232
71.2%
(Missing) 29
 
8.9%
ValueCountFrequency (%)
1300 5
1.5%
1301 5
1.5%
1302 1
 
0.3%
1304 2
 
0.6%
1305 6
1.8%
1307 2
 
0.6%
1308 1
 
0.3%
1309 1
 
0.3%
1310 3
0.9%
1313 1
 
0.3%
ValueCountFrequency (%)
1489 2
0.6%
1487 1
 
0.3%
1486 1
 
0.3%
1483 2
0.6%
1482 1
 
0.3%
1481 1
 
0.3%
1480 3
0.9%
1478 2
0.6%
1475 2
0.6%
1474 3
0.9%

사업장명
Text

Distinct291
Distinct (%)89.3%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2024-04-30T04:33:18.999309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length16
Mean length7.6257669
Min length3

Characters and Unicode

Total characters2486
Distinct characters275
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique261 ?
Unique (%)80.1%

Sample

1st row현대자동차 북부서비스센터
2nd row북서울서비스
3rd row(주)미원
4th row아진교통(주)
5th row사회복지법인 인강재단
ValueCountFrequency (%)
어린이집 15
 
4.2%
도봉실버센터 5
 
1.4%
창동어린이집 4
 
1.1%
덕성여자대학교 3
 
0.8%
부속유치원 2
 
0.6%
한그루어린이집 2
 
0.6%
서울북부지방법원어린이집 2
 
0.6%
선덕고등학교 2
 
0.6%
가화실버한방병원 2
 
0.6%
엘리펀트리 2
 
0.6%
Other values (297) 321
89.2%
2024-04-30T04:33:19.301100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 144
 
5.8%
어 135
 
5.4%
린 126
 
5.1%
집 125
 
5.0%
원 94
 
3.8%
학 80
 
3.2%
교 63
 
2.5%
서 55
 
2.2%
동 48
 
1.9%
울 44
 
1.8%
Other values (265) 1572
63.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2369
95.3%
Space Separator 34
 
1.4%
Close Punctuation 28
 
1.1%
Open Punctuation 27
 
1.1%
Decimal Number 17
 
0.7%
Uppercase Letter 9
 
0.4%
Other Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 144
 
6.1%
어 135
 
5.7%
린 126
 
5.3%
집 125
 
5.3%
원 94
 
4.0%
학 80
 
3.4%
교 63
 
2.7%
서 55
 
2.3%
동 48
 
2.0%
울 44
 
1.9%
Other values (250) 1455
61.4%
Decimal Number
ValueCountFrequency (%)
2 6
35.3%
3 4
23.5%
1 3
17.6%
4 2
 
11.8%
5 2
 
11.8%
Uppercase Letter
ValueCountFrequency (%)
I 3
33.3%
C 2
22.2%
L 2
22.2%
P 1
 
11.1%
V 1
 
11.1%
Other Punctuation
ValueCountFrequency (%)
. 1
50.0%
, 1
50.0%
Space Separator
ValueCountFrequency (%)
34
100.0%
Close Punctuation
ValueCountFrequency (%)
) 28
100.0%
Open Punctuation
ValueCountFrequency (%)
( 27
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2369
95.3%
Common 108
 
4.3%
Latin 9
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 144
 
6.1%
어 135
 
5.7%
린 126
 
5.3%
집 125
 
5.3%
원 94
 
4.0%
학 80
 
3.4%
교 63
 
2.7%
서 55
 
2.3%
동 48
 
2.0%
울 44
 
1.9%
Other values (250) 1455
61.4%
Common
ValueCountFrequency (%)
34
31.5%
) 28
25.9%
( 27
25.0%
2 6
 
5.6%
3 4
 
3.7%
1 3
 
2.8%
4 2
 
1.9%
5 2
 
1.9%
. 1
 
0.9%
, 1
 
0.9%
Latin
ValueCountFrequency (%)
I 3
33.3%
C 2
22.2%
L 2
22.2%
P 1
 
11.1%
V 1
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2369
95.3%
ASCII 117
 
4.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 144
 
6.1%
어 135
 
5.7%
린 126
 
5.3%
집 125
 
5.3%
원 94
 
4.0%
학 80
 
3.4%
교 63
 
2.7%
서 55
 
2.3%
동 48
 
2.0%
울 44
 
1.9%
Other values (250) 1455
61.4%
ASCII
ValueCountFrequency (%)
34
29.1%
) 28
23.9%
( 27
23.1%
2 6
 
5.1%
3 4
 
3.4%
1 3
 
2.6%
I 3
 
2.6%
C 2
 
1.7%
L 2
 
1.7%
4 2
 
1.7%
Other values (5) 6
 
5.1%

최종수정일자
Date

Distinct321
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
Minimum2000-05-22 00:00:00
Maximum2024-04-16 16:37:31
2024-04-30T04:33:19.426874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:33:19.718214image/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
I
190 
U
136 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 190
58.3%
U 136
41.7%

Length

2024-04-30T04:33:19.843481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:33:19.927275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 190
58.3%
u 136
41.7%

데이터갱신일자
Date

Distinct120
Distinct (%)36.8%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:03:00
2024-04-30T04:33:20.019879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:33:20.147800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

Distinct9
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
어린이집
132 
집단급식소
59 
학교
54 
병원
25 
사회복지시설
23 
Other values (4)
33 

Length

Max length6
Median length5
Mean length3.7668712
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row집단급식소
2nd row집단급식소
3rd row집단급식소
4th row산업체
5th row사회복지시설

Common Values

ValueCountFrequency (%)
어린이집 132
40.5%
집단급식소 59
18.1%
학교 54
16.6%
병원 25
 
7.7%
사회복지시설 23
 
7.1%
산업체 17
 
5.2%
공공기관 10
 
3.1%
기숙사 4
 
1.2%
수련원 2
 
0.6%

Length

2024-04-30T04:33:20.295034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:33:20.419707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
어린이집 132
40.5%
집단급식소 59
18.1%
학교 54
16.6%
병원 25
 
7.7%
사회복지시설 23
 
7.1%
산업체 17
 
5.2%
공공기관 10
 
3.1%
기숙사 4
 
1.2%
수련원 2
 
0.6%

좌표정보(X)
Real number (ℝ)

Distinct232
Distinct (%)71.8%
Missing3
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean203208.78
Minimum201098.76
Maximum204638.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2024-04-30T04:33:20.555099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum201098.76
5-th percentile201278.85
Q1202781.9
median203385.14
Q3203803.79
95-th percentile204294.88
Maximum204638.4
Range3539.6351
Interquartile range (IQR)1021.8859

Descriptive statistics

Standard deviation854.50521
Coefficient of variation (CV)0.0042050606
Kurtosis0.13840422
Mean203208.78
Median Absolute Deviation (MAD)501.85559
Skewness-0.8413353
Sum65636435
Variance730179.15
MonotonicityNot monotonic
2024-04-30T04:33:20.678667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
201167.086526829 5
 
1.5%
202314.189642987 5
 
1.5%
203945.022848952 5
 
1.5%
202736.590095051 5
 
1.5%
201393.038238284 5
 
1.5%
203773.538245411 4
 
1.2%
202325.035151257 4
 
1.2%
202961.829052417 4
 
1.2%
202960.438289644 3
 
0.9%
202794.358626436 3
 
0.9%
Other values (222) 280
85.9%
ValueCountFrequency (%)
201098.761383515 2
 
0.6%
201134.272848745 1
 
0.3%
201152.846482468 1
 
0.3%
201155.771526165 2
 
0.6%
201164.322072146 2
 
0.6%
201167.086526829 5
1.5%
201177.743198866 2
 
0.6%
201183.090092577 1
 
0.3%
201278.847023822 2
 
0.6%
201302.594213503 1
 
0.3%
ValueCountFrequency (%)
204638.396518808 1
0.3%
204632.236352252 1
0.3%
204582.338677684 2
0.6%
204570.575966399 1
0.3%
204569.769384803 2
0.6%
204518.674819261 1
0.3%
204516.111029566 1
0.3%
204461.889893593 1
0.3%
204413.616574592 1
0.3%
204388.488423515 1
0.3%

좌표정보(Y)
Real number (ℝ)

Distinct232
Distinct (%)71.8%
Missing3
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean461891.82
Minimum458905.35
Maximum465803.59
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2024-04-30T04:33:20.792623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum458905.35
5-th percentile459785.96
Q1460966.77
median461733.48
Q3462710.43
95-th percentile464599.93
Maximum465803.59
Range6898.2414
Interquartile range (IQR)1743.6547

Descriptive statistics

Standard deviation1388.2233
Coefficient of variation (CV)0.003005516
Kurtosis0.14237395
Mean461891.82
Median Absolute Deviation (MAD)806.65105
Skewness0.51051486
Sum1.4919106 × 108
Variance1927163.8
MonotonicityNot monotonic
2024-04-30T04:33:20.905118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
461671.469939607 5
 
1.5%
462283.85540688 5
 
1.5%
460276.190341607 5
 
1.5%
461177.3723973 5
 
1.5%
460991.434614302 5
 
1.5%
464414.913404635 4
 
1.2%
461479.391339929 4
 
1.2%
462271.553341754 4
 
1.2%
460242.005648474 3
 
0.9%
462181.548748132 3
 
0.9%
Other values (222) 280
85.9%
ValueCountFrequency (%)
458905.349954187 1
0.3%
459009.265716602 1
0.3%
459080.962315283 1
0.3%
459171.997465062 1
0.3%
459177.735230662 1
0.3%
459292.407574065 2
0.6%
459322.992662006 1
0.3%
459468.169735429 1
0.3%
459522.941671444 2
0.6%
459630.748165161 1
0.3%
ValueCountFrequency (%)
465803.591403923 3
0.9%
465298.499445422 1
 
0.3%
465291.710893362 1
 
0.3%
465077.944095077 1
 
0.3%
465026.559768614 1
 
0.3%
465017.323060748 1
 
0.3%
465002.243917998 2
0.6%
464925.338705852 1
 
0.3%
464915.302353733 1
 
0.3%
464814.717432497 1
 
0.3%

위생업태명
Categorical

Distinct9
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
어린이집
116 
집단급식소
59 
학교
49 
<NA>
43 
사회복지시설
19 
Other values (4)
40 

Length

Max length6
Median length4
Mean length3.8496933
Min length2

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
어린이집 116
35.6%
집단급식소 59
18.1%
학교 49
15.0%
<NA> 43
 
13.2%
사회복지시설 19
 
5.8%
병원 18
 
5.5%
산업체 11
 
3.4%
공공기관 10
 
3.1%
기숙사 1
 
0.3%

Length

2024-04-30T04:33:21.038675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:33:21.159992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
어린이집 116
35.6%
집단급식소 59
18.1%
학교 49
15.0%
na 43
 
13.2%
사회복지시설 19
 
5.8%
병원 18
 
5.5%
산업체 11
 
3.4%
공공기관 10
 
3.1%
기숙사 1
 
0.3%

남성종사자수
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
<NA>
277 
0
46 
1
 
3

Length

Max length4
Median length4
Mean length3.5490798
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 277
85.0%
0 46
 
14.1%
1 3
 
0.9%

Length

2024-04-30T04:33:21.268308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:33:21.348545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 277
85.0%
0 46
 
14.1%
1 3
 
0.9%

여성종사자수
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)14.3%
Missing277
Missing (%)85.0%
Infinite0
Infinite (%)0.0%
Mean1.5714286
Minimum0
Maximum10
Zeros38
Zeros (%)11.7%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2024-04-30T04:33:21.424718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile7.6
Maximum10
Range10
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.0276504
Coefficient of variation (CV)1.9266866
Kurtosis0.82455792
Mean1.5714286
Median Absolute Deviation (MAD)0
Skewness1.5609515
Sum77
Variance9.1666667
MonotonicityNot monotonic
2024-04-30T04:33:21.514621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 38
 
11.7%
6 4
 
1.2%
7 3
 
0.9%
5 1
 
0.3%
8 1
 
0.3%
10 1
 
0.3%
9 1
 
0.3%
(Missing) 277
85.0%
ValueCountFrequency (%)
0 38
11.7%
5 1
 
0.3%
6 4
 
1.2%
7 3
 
0.9%
8 1
 
0.3%
9 1
 
0.3%
10 1
 
0.3%
ValueCountFrequency (%)
10 1
 
0.3%
9 1
 
0.3%
8 1
 
0.3%
7 3
 
0.9%
6 4
 
1.2%
5 1
 
0.3%
0 38
11.7%

영업장주변구분명
Categorical

IMBALANCE 

Distinct5
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
<NA>
274 
학교정화(절대)
 
21
기타
 
15
주택가주변
 
13
학교정화(상대)
 
3

Length

Max length8
Median length4
Mean length4.2423313
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 274
84.0%
학교정화(절대) 21
 
6.4%
기타 15
 
4.6%
주택가주변 13
 
4.0%
학교정화(상대) 3
 
0.9%

Length

2024-04-30T04:33:21.632319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:33:21.728037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 274
84.0%
학교정화(절대 21
 
6.4%
기타 15
 
4.6%
주택가주변 13
 
4.0%
학교정화(상대 3
 
0.9%

등급구분명
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
<NA>
274 
자율
34 
기타
 
15
우수
 
3

Length

Max length4
Median length4
Mean length3.6809816
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 274
84.0%
자율 34
 
10.4%
기타 15
 
4.6%
우수 3
 
0.9%

Length

2024-04-30T04:33:21.832079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:33:21.940364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 274
84.0%
자율 34
 
10.4%
기타 15
 
4.6%
우수 3
 
0.9%

급수시설구분명
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
상수도전용
209 
<NA>
117 

Length

Max length5
Median length5
Mean length4.6411043
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
상수도전용 209
64.1%
<NA> 117
35.9%

Length

2024-04-30T04:33:22.031999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:33:22.107397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
상수도전용 209
64.1%
na 117
35.9%

총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
<NA>
309 
0
 
17

Length

Max length4
Median length4
Mean length3.8435583
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> 309
94.8%
0 17
 
5.2%

Length

2024-04-30T04:33:22.199172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:33:22.281098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 309
94.8%
0 17
 
5.2%

본사종업원수
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
0
214 
<NA>
110 
10
 
1
2
 
1

Length

Max length4
Median length1
Mean length2.0153374
Min length1

Unique

Unique2 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
0 214
65.6%
<NA> 110
33.7%
10 1
 
0.3%
2 1
 
0.3%

Length

2024-04-30T04:33:22.362968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:33:22.451405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 214
65.6%
na 110
33.7%
10 1
 
0.3%
2 1
 
0.3%

공장사무직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
<NA>
309 
0
 
17

Length

Max length4
Median length4
Mean length3.8435583
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> 309
94.8%
0 17
 
5.2%

Length

2024-04-30T04:33:22.544736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:33:22.633345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 309
94.8%
0 17
 
5.2%

공장판매직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
<NA>
309 
0
 
17

Length

Max length4
Median length4
Mean length3.8435583
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> 309
94.8%
0 17
 
5.2%

Length

2024-04-30T04:33:22.731200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:33:22.827153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 309
94.8%
0 17
 
5.2%

공장생산직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
<NA>
309 
0
 
17

Length

Max length4
Median length4
Mean length3.8435583
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> 309
94.8%
0 17
 
5.2%

Length

2024-04-30T04:33:22.944813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:33:23.036060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 309
94.8%
0 17
 
5.2%

건물소유구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
<NA>
302 
자가
 
24

Length

Max length4
Median length4
Mean length3.8527607
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> 302
92.6%
자가 24
 
7.4%

Length

2024-04-30T04:33:23.128437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:33:23.215059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 302
92.6%
자가 24
 
7.4%

보증액
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
<NA>
163 
0
163 

Length

Max length4
Median length2.5
Mean length2.5
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> 163
50.0%
0 163
50.0%

Length

2024-04-30T04:33:23.295796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:33:23.378171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 163
50.0%
0 163
50.0%

월세액
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
<NA>
163 
0
163 

Length

Max length4
Median length2.5
Mean length2.5
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> 163
50.0%
0 163
50.0%

Length

2024-04-30T04:33:23.467212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:33:23.546780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 163
50.0%
0 163
50.0%

다중이용업소여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)0.4%
Missing43
Missing (%)13.2%
Memory size784.0 B
False
283 
(Missing)
43 
ValueCountFrequency (%)
False 283
86.8%
(Missing) 43
 
13.2%
2024-04-30T04:33:23.626152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

MISSING  ZEROS 

Distinct128
Distinct (%)45.2%
Missing43
Missing (%)13.2%
Infinite0
Infinite (%)0.0%
Mean73.699965
Minimum0
Maximum1302.47
Zeros132
Zeros (%)40.5%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2024-04-30T04:33:23.727493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median6.6
Q380
95-th percentile328.4
Maximum1302.47
Range1302.47
Interquartile range (IQR)80

Descriptive statistics

Standard deviation154.13302
Coefficient of variation (CV)2.0913581
Kurtosis19.253027
Mean73.699965
Median Absolute Deviation (MAD)6.6
Skewness3.7686033
Sum20857.09
Variance23756.987
MonotonicityNot monotonic
2024-04-30T04:33:23.847169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 132
40.5%
264.0 5
 
1.5%
13.2 5
 
1.5%
16.5 3
 
0.9%
5.0 3
 
0.9%
27.53 2
 
0.6%
84.7 2
 
0.6%
24.09 2
 
0.6%
41.34 2
 
0.6%
99.12 2
 
0.6%
Other values (118) 125
38.3%
(Missing) 43
 
13.2%
ValueCountFrequency (%)
0.0 132
40.5%
2.0 1
 
0.3%
3.0 1
 
0.3%
4.32 1
 
0.3%
5.0 3
 
0.9%
5.9 1
 
0.3%
6.0 1
 
0.3%
6.2 1
 
0.3%
6.6 1
 
0.3%
7.5 1
 
0.3%
ValueCountFrequency (%)
1302.47 1
0.3%
840.84 1
0.3%
765.5 1
0.3%
688.1 1
0.3%
654.41 1
0.3%
606.24 1
0.3%
590.97 1
0.3%
560.0 1
0.3%
505.8 1
0.3%
472.41 1
0.3%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing326
Missing (%)100.0%
Memory size3.0 KiB

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing326
Missing (%)100.0%
Memory size3.0 KiB

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing326
Missing (%)100.0%
Memory size3.0 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
030900003090000-105-1990-0000119900726<NA>3폐업2폐업20160204<NA><NA><NA>023492015123.0132854서울특별시 도봉구 방학동 708-2번지서울특별시 도봉구 방학로 76 (방학동)1334현대자동차 북부서비스센터2015-04-16 15:50:08I2018-08-31 23:59:59.0집단급식소203811.915589462324.398951집단급식소00주택가주변자율상수도전용<NA>0<NA><NA><NA><NA><NA><NA>N198.0<NA><NA><NA>
130900003090000-105-1990-0000319900302<NA>3폐업2폐업20080215<NA><NA><NA>022289620230.0132801서울특별시 도봉구 도봉동 62-3번지<NA><NA>북서울서비스2006-04-07 00:00:00I2018-08-31 23:59:59.0집단급식소204081.38615464472.810889집단급식소<NA><NA>주택가주변자율<NA><NA>0<NA><NA><NA><NA><NA><NA>N301.9<NA><NA><NA>
230900003090000-105-1990-0000719900302<NA>3폐업2폐업20000609<NA><NA><NA>02 9923191144.01132854서울특별시 도봉구 방학동 720-0번지<NA><NA>(주)미원2000-06-09 00:00:00I2018-08-31 23:59:59.0집단급식소204086.050996462924.421741집단급식소00주택가주변기타<NA><NA><NA><NA><NA><NA><NA><NA><NA>N468.61<NA><NA><NA>
330900003090000-105-1990-000081990-03-02<NA>3폐업2폐업2020-01-15<NA><NA><NA>02 955232114.19132-806서울특별시 도봉구 도봉동 282-212서울특별시 도봉구 도봉산길 50 (도봉동)1300아진교통(주)2023-03-14 13:26:58U2022-12-02 23:06:00.0산업체203465.85806465077.944095<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
430900003090000-105-1990-0004219900302<NA>1영업/정상1영업<NA><NA><NA><NA>02 955052641.6132806서울특별시 도봉구 도봉동 381-1번지서울특별시 도봉구 평화로15번길 9-25 (도봉동)1301사회복지법인 인강재단2017-07-27 14:34:58I2018-08-31 23:59:59.0사회복지시설203656.061553465803.591404사회복지시설<NA><NA>주택가주변자율상수도전용<NA>0<NA><NA><NA><NA><NA><NA>N240.14<NA><NA><NA>
530900003090000-105-1990-0004919900302<NA>3폐업2폐업20000522<NA><NA><NA>02 996711927.95132923서울특별시 도봉구 창동 647-2번지 0000동 0000호<NA><NA>샘표식품2000-05-22 00:00:00I2018-08-31 23:59:59.0집단급식소<NA><NA>집단급식소00기타기타<NA><NA><NA><NA><NA><NA><NA><NA><NA>N166.67<NA><NA><NA>
630900003090000-105-1992-0005219920321<NA>3폐업2폐업20111230<NA><NA><NA>02 904671136.0132922서울특별시 도봉구 창동 632-39번지<NA><NA>(주)우영2012-01-02 10:49:28I2018-08-31 23:59:59.0집단급식소203029.719291459912.19975집단급식소<NA><NA>주택가주변자율<NA><NA>0<NA><NA><NA><NA><NA><NA>N264.6<NA><NA><NA>
730900003090000-105-1994-0000519941231<NA>1영업/정상1영업<NA><NA><NA><NA>0234923250153.0132854서울특별시 도봉구 방학동 705-7 지하1층서울특별시 도봉구 도봉로 718, 지하1층 (방학동)1333서울노보스병원2021-03-02 17:11:37U2021-03-04 02:40:00.0병원203796.542556462902.607321병원00주택가주변자율상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N153.0<NA><NA><NA>
830900003090000-105-1994-0001319940811<NA>3폐업2폐업20020513<NA><NA><NA>02 99665909.36132908서울특별시 도봉구 창동 328-0번지 0000동 0000호<NA><NA>한성버스(주)2002-08-27 00:00:00I2018-08-31 23:59:59.0집단급식소203889.10884461090.570713집단급식소00기타자율<NA><NA><NA><NA><NA><NA><NA><NA><NA>N44.55<NA><NA><NA>
930900003090000-105-1995-0000419950428<NA>1영업/정상1영업<NA><NA><NA><NA>0234944226161.48132854서울특별시 도봉구 방학동 720번지서울특별시 도봉구 마들로 656 (방학동)1331도봉구청2018-02-05 14:59:21I2018-08-31 23:59:59.0공공기관204086.050996462924.421741공공기관<NA><NA>주택가주변자율상수도전용<NA>0<NA><NA><NA><NA><NA><NA>N654.41<NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
31630900003090000-105-2021-0000220210305<NA>1영업/정상1영업<NA><NA><NA><NA>02956 74740.0132758서울특별시 도봉구 도봉동 641-1 서원아파트서울특별시 도봉구 마들로 684-10, 서원아파트 (도봉동)1330도봉숲어린이집2021-03-05 10:56:28I2021-03-07 00:23:00.0어린이집204117.3375463114.053032어린이집<NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA>00N0.0<NA><NA><NA>
31730900003090000-105-2021-0000320210308<NA>1영업/정상1영업<NA><NA><NA><NA>0299653110.0132888서울특별시 도봉구 쌍문동 493-8서울특별시 도봉구 우이천로 487-1, 늘봄어린이집 (쌍문동)1367늘봄어린이집2021-03-08 11:28:02I2021-03-10 00:23:00.0어린이집201278.847024461579.02249어린이집<NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA>00N0.0<NA><NA><NA>
31830900003090000-105-2021-0000420210312<NA>1영업/정상1영업<NA><NA><NA><NA>023493022813.2132839서울특별시 도봉구 방학동 620-23 느티나무어린이집서울특별시 도봉구 도당로13바길 19, 누리어린이집 (방학동)1355느티나무어린이집2022-08-31 15:29:02U2021-12-09 00:02:00.0어린이집202991.017317462797.672931<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
31930900003090000-105-2021-0000520210615<NA>1영업/정상1영업<NA><NA><NA><NA>02698180900.0132854서울특별시 도봉구 방학동 708 도봉소방서서울특별시 도봉구 도봉로 666, 도봉소방서 지하1층 (방학동)1334도봉소방서2021-09-02 14:13:23U2021-09-04 02:40:00.0공공기관203773.453364462399.623011공공기관00<NA><NA><NA>00000<NA>00N0.0<NA><NA><NA>
32030900003090000-105-2021-000062021-12-02<NA>1영업/정상1영업<NA><NA><NA><NA>02901 07000.0132-807서울특별시 도봉구 도봉동 405 북한산생태탐방원서울특별시 도봉구 도봉산길 86, 북한산생태탐방원 (도봉동)1300국립공원공단 북한산생태탐방원2023-04-10 14:23:38U2022-12-03 23:02:00.0수련원202972.915637465002.243918<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
32130900003090000-105-2022-0000120220215<NA>1영업/정상1영업<NA><NA><NA><NA><NA>122.33132820서울특별시 도봉구 도봉동 620-23 화성빌딩서울특별시 도봉구 시루봉로 310, 화성빌딩 지하2층 (도봉동)1349팔팔요양병원2022-02-15 16:53:14I2022-02-17 00:22:55.0병원203762.994791463176.644947병원00<NA><NA>상수도전용00000<NA>00N70.51<NA><NA><NA>
32230900003090000-105-2022-0000220220225<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA>132820서울특별시 도봉구 도봉동 617-21서울특별시 도봉구 도봉로 755, 지하2층 (도봉동)1310서울노보스병원2022-08-31 13:37:03U2021-12-09 00:02:00.0병원203784.030842463306.561201<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
32330900003090000-105-2022-000042022-07-06<NA>3폐업2폐업2023-07-12<NA><NA><NA>02 999 80960.0132-916서울특별시 도봉구 창동 474-43 무지개어린이집서울특별시 도봉구 덕릉로60길 121-20, 무지개어린이집 (창동)1480무지개 어린이집2023-07-12 15:19:37U2022-12-06 23:04:00.0어린이집203715.567016459177.735231<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
32430900003090000-105-2022-0000520221004<NA>1영업/정상1영업<NA><NA><NA><NA><NA>107.39132918서울특별시 도봉구 창동 553-2서울특별시 도봉구 덕릉로 215, 3층 (창동)1472자향한방병원2022-10-04 15:39:33I2021-10-31 00:06:00.0병원203151.226589459468.169735<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
32530900003090000-105-2023-000012023-03-17<NA>1영업/정상1영업<NA><NA><NA><NA><NA>260.0132-919서울특별시 도봉구 창동 601-44서울특별시 도봉구 덕릉로59길 20, 6층 (창동)1469희망요양원2023-04-19 17:36:19U2022-12-03 22:01:00.0사회복지시설203328.993218459824.735278<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>