Overview

Dataset statistics

Number of variables44
Number of observations352
Missing cells3438
Missing cells (%)22.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory129.0 KiB
Average record size in memory375.4 B

Variable types

Categorical20
Text7
DateTime4
Unsupported7
Numeric5
Boolean1

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),위생업태명,남성종사자수,여성종사자수,영업장주변구분명,등급구분명,급수시설구분명,총인원,본사종업원수,공장사무직종업원수,공장판매직종업원수,공장생산직종업원수,건물소유구분명,보증액,월세액,다중이용업소여부,시설총규모,전통업소지정번호,전통업소주된음식,홈페이지
Author종로구
URLhttps://data.seoul.go.kr/dataList/OA-18002/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
다중이용업소여부 has constant value ""Constant
총인원 is highly imbalanced (72.1%)Imbalance
공장사무직종업원수 is highly imbalanced (72.1%)Imbalance
공장판매직종업원수 is highly imbalanced (72.1%)Imbalance
공장생산직종업원수 is highly imbalanced (72.1%)Imbalance
건물소유구분명 is highly imbalanced (77.6%)Imbalance
인허가취소일자 has 352 (100.0%) missing valuesMissing
폐업일자 has 179 (50.9%) missing valuesMissing
휴업시작일자 has 352 (100.0%) missing valuesMissing
휴업종료일자 has 352 (100.0%) missing valuesMissing
재개업일자 has 352 (100.0%) missing valuesMissing
전화번호 has 29 (8.2%) missing valuesMissing
소재지면적 has 177 (50.3%) missing valuesMissing
도로명주소 has 67 (19.0%) missing valuesMissing
도로명우편번호 has 71 (20.2%) missing valuesMissing
좌표정보(X) has 21 (6.0%) missing valuesMissing
좌표정보(Y) has 21 (6.0%) missing valuesMissing
본사종업원수 has 191 (54.3%) missing valuesMissing
다중이용업소여부 has 109 (31.0%) missing valuesMissing
시설총규모 has 109 (31.0%) missing valuesMissing
전통업소지정번호 has 352 (100.0%) missing valuesMissing
전통업소주된음식 has 352 (100.0%) missing valuesMissing
홈페이지 has 352 (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
본사종업원수 has 155 (44.0%) zerosZeros
시설총규모 has 101 (28.7%) zerosZeros

Reproduction

Analysis started2024-05-11 05:24:39.478211
Analysis finished2024-05-11 05:24:40.728359
Duration1.25 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
3000000
352 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3000000
2nd row3000000
3rd row3000000
4th row3000000
5th row3000000

Common Values

ValueCountFrequency (%)
3000000 352
100.0%

Length

2024-05-11T14:24:40.839891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:24:41.003332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3000000 352
100.0%

관리번호
Text

UNIQUE 

Distinct352
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
2024-05-11T14:24:41.278428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters7744
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

Unique352 ?
Unique (%)100.0%

Sample

1st row3000000-105-1960-00076
2nd row3000000-105-1967-00003
3rd row3000000-105-1968-00033
4th row3000000-105-1968-00104
5th row3000000-105-1972-00024
ValueCountFrequency (%)
3000000-105-1960-00076 1
 
0.3%
3000000-105-1967-00003 1
 
0.3%
3000000-105-2013-00013 1
 
0.3%
3000000-105-2013-00012 1
 
0.3%
3000000-105-2013-00011 1
 
0.3%
3000000-105-2013-00010 1
 
0.3%
3000000-105-2013-00009 1
 
0.3%
3000000-105-2013-00008 1
 
0.3%
3000000-105-2013-00007 1
 
0.3%
3000000-105-2013-00006 1
 
0.3%
Other values (342) 342
97.2%
2024-05-11T14:24:41.763653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 4123
53.2%
- 1056
 
13.6%
1 724
 
9.3%
5 446
 
5.8%
3 439
 
5.7%
2 378
 
4.9%
9 259
 
3.3%
8 94
 
1.2%
6 75
 
1.0%
7 75
 
1.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6688
86.4%
Dash Punctuation 1056
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4123
61.6%
1 724
 
10.8%
5 446
 
6.7%
3 439
 
6.6%
2 378
 
5.7%
9 259
 
3.9%
8 94
 
1.4%
6 75
 
1.1%
7 75
 
1.1%
4 75
 
1.1%
Dash Punctuation
ValueCountFrequency (%)
- 1056
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7744
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4123
53.2%
- 1056
 
13.6%
1 724
 
9.3%
5 446
 
5.8%
3 439
 
5.7%
2 378
 
4.9%
9 259
 
3.3%
8 94
 
1.2%
6 75
 
1.0%
7 75
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7744
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4123
53.2%
- 1056
 
13.6%
1 724
 
9.3%
5 446
 
5.8%
3 439
 
5.7%
2 378
 
4.9%
9 259
 
3.3%
8 94
 
1.2%
6 75
 
1.0%
7 75
 
1.0%
Distinct323
Distinct (%)91.8%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
Minimum1960-01-04 00:00:00
Maximum2024-03-14 00:00:00
2024-05-11T14:24:41.945821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:24:42.179335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing352
Missing (%)100.0%
Memory size3.2 KiB
Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
1
179 
3
173 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 179
50.9%
3 173
49.1%

Length

2024-05-11T14:24:42.419461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:24:42.659670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 179
50.9%
3 173
49.1%

영업상태명
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
영업/정상
179 
폐업
173 

Length

Max length5
Median length5
Mean length3.5255682
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 179
50.9%
폐업 173
49.1%

Length

2024-05-11T14:24:42.868966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:24:43.040338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 179
50.9%
폐업 173
49.1%
Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
1
179 
2
173 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 179
50.9%
2 173
49.1%

Length

2024-05-11T14:24:43.202684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:24:43.363616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 179
50.9%
2 173
49.1%
Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
영업
179 
폐업
173 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업 179
50.9%
폐업 173
49.1%

Length

2024-05-11T14:24:43.557828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:24:43.728007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업 179
50.9%
폐업 173
49.1%

폐업일자
Date

MISSING 

Distinct162
Distinct (%)93.6%
Missing179
Missing (%)50.9%
Memory size2.9 KiB
Minimum1994-09-22 00:00:00
Maximum2024-05-02 00:00:00
2024-05-11T14:24:43.901192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:24:44.153818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing352
Missing (%)100.0%
Memory size3.2 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing352
Missing (%)100.0%
Memory size3.2 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing352
Missing (%)100.0%
Memory size3.2 KiB

전화번호
Text

MISSING 

Distinct311
Distinct (%)96.3%
Missing29
Missing (%)8.2%
Memory size2.9 KiB
2024-05-11T14:24:44.572487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length10.55418
Min length2

Characters and Unicode

Total characters3409
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

Unique299 ?
Unique (%)92.6%

Sample

1st row02 7605442
2nd row02 7309391
3rd row02 7636065
4th row0220012001
5th row02 3799232
ValueCountFrequency (%)
02 249
39.3%
737 5
 
0.8%
730 4
 
0.6%
738 3
 
0.5%
739 3
 
0.5%
7327 2
 
0.3%
723 2
 
0.3%
391 2
 
0.3%
720 2
 
0.3%
767 2
 
0.3%
Other values (340) 359
56.7%
2024-05-11T14:24:45.301770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 607
17.8%
2 599
17.6%
414
12.1%
7 399
11.7%
3 312
9.2%
1 220
 
6.5%
6 208
 
6.1%
4 195
 
5.7%
5 169
 
5.0%
9 148
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2995
87.9%
Space Separator 414
 
12.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 607
20.3%
2 599
20.0%
7 399
13.3%
3 312
10.4%
1 220
 
7.3%
6 208
 
6.9%
4 195
 
6.5%
5 169
 
5.6%
9 148
 
4.9%
8 138
 
4.6%
Space Separator
ValueCountFrequency (%)
414
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3409
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 607
17.8%
2 599
17.6%
414
12.1%
7 399
11.7%
3 312
9.2%
1 220
 
6.5%
6 208
 
6.1%
4 195
 
5.7%
5 169
 
5.0%
9 148
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3409
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 607
17.8%
2 599
17.6%
414
12.1%
7 399
11.7%
3 312
9.2%
1 220
 
6.5%
6 208
 
6.1%
4 195
 
5.7%
5 169
 
5.0%
9 148
 
4.3%

소재지면적
Text

MISSING 

Distinct111
Distinct (%)63.4%
Missing177
Missing (%)50.3%
Memory size2.9 KiB
2024-05-11T14:24:45.803513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length7
Mean length4.9485714
Min length3

Characters and Unicode

Total characters866
Distinct characters12
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique104 ?
Unique (%)59.4%

Sample

1st row286.25
2nd row165.00
3rd row125.40
4th row73.00
5th row49.05
ValueCountFrequency (%)
00 36
 
20.6%
0.00 24
 
13.7%
10.00 3
 
1.7%
125.40 2
 
1.1%
130.00 2
 
1.1%
245.59 2
 
1.1%
65.00 2
 
1.1%
55.00 1
 
0.6%
200.00 1
 
0.6%
1,736.36 1
 
0.6%
Other values (101) 101
57.7%
2024-05-11T14:24:46.566476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 298
34.4%
. 175
20.2%
1 72
 
8.3%
2 53
 
6.1%
3 50
 
5.8%
5 41
 
4.7%
6 39
 
4.5%
4 38
 
4.4%
7 36
 
4.2%
9 34
 
3.9%
Other values (2) 30
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 688
79.4%
Other Punctuation 178
 
20.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 298
43.3%
1 72
 
10.5%
2 53
 
7.7%
3 50
 
7.3%
5 41
 
6.0%
6 39
 
5.7%
4 38
 
5.5%
7 36
 
5.2%
9 34
 
4.9%
8 27
 
3.9%
Other Punctuation
ValueCountFrequency (%)
. 175
98.3%
, 3
 
1.7%

Most occurring scripts

ValueCountFrequency (%)
Common 866
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 298
34.4%
. 175
20.2%
1 72
 
8.3%
2 53
 
6.1%
3 50
 
5.8%
5 41
 
4.7%
6 39
 
4.5%
4 38
 
4.4%
7 36
 
4.2%
9 34
 
3.9%
Other values (2) 30
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 866
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 298
34.4%
. 175
20.2%
1 72
 
8.3%
2 53
 
6.1%
3 50
 
5.8%
5 41
 
4.7%
6 39
 
4.5%
4 38
 
4.4%
7 36
 
4.2%
9 34
 
3.9%
Other values (2) 30
 
3.5%
Distinct156
Distinct (%)44.3%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
2024-05-11T14:24:47.172904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.2585227
Min length6

Characters and Unicode

Total characters2203
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

Unique82 ?
Unique (%)23.3%

Sample

1st row110126
2nd row110122
3rd row110260
4th row110-746
5th row110804
ValueCountFrequency (%)
110062 13
 
3.7%
110140 9
 
2.6%
110110 8
 
2.3%
110020 8
 
2.3%
110530 8
 
2.3%
110-530 8
 
2.3%
110470 7
 
2.0%
110031 7
 
2.0%
110350 7
 
2.0%
110044 6
 
1.7%
Other values (146) 271
77.0%
2024-05-11T14:24:47.964369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 821
37.3%
0 643
29.2%
2 116
 
5.3%
3 107
 
4.9%
8 106
 
4.8%
4 104
 
4.7%
- 91
 
4.1%
5 78
 
3.5%
7 63
 
2.9%
6 58
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2112
95.9%
Dash Punctuation 91
 
4.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 821
38.9%
0 643
30.4%
2 116
 
5.5%
3 107
 
5.1%
8 106
 
5.0%
4 104
 
4.9%
5 78
 
3.7%
7 63
 
3.0%
6 58
 
2.7%
9 16
 
0.8%
Dash Punctuation
ValueCountFrequency (%)
- 91
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2203
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 821
37.3%
0 643
29.2%
2 116
 
5.3%
3 107
 
4.9%
8 106
 
4.8%
4 104
 
4.7%
- 91
 
4.1%
5 78
 
3.5%
7 63
 
2.9%
6 58
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2203
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 821
37.3%
0 643
29.2%
2 116
 
5.3%
3 107
 
4.9%
8 106
 
4.8%
4 104
 
4.7%
- 91
 
4.1%
5 78
 
3.5%
7 63
 
2.9%
6 58
 
2.6%
Distinct328
Distinct (%)93.2%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
2024-05-11T14:24:48.883543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length33
Mean length24.122159
Min length15

Characters and Unicode

Total characters8491
Distinct characters240
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique308 ?
Unique (%)87.5%

Sample

1st row서울특별시 종로구 종로6가 70번지
2nd row서울특별시 종로구 종로2가 9-0번지
3rd row서울특별시 종로구 가회동 210-0번지
4th row서울특별시 종로구 평동 108-1 강북삼성병원 A관 10층
5th row서울특별시 종로구 구기동 216-2
ValueCountFrequency (%)
서울특별시 352
21.2%
종로구 352
21.2%
지하1층 19
 
1.1%
창신동 17
 
1.0%
세종로 16
 
1.0%
신문로2가 16
 
1.0%
혜화동 16
 
1.0%
수송동 14
 
0.8%
서린동 14
 
0.8%
숭인동 13
 
0.8%
Other values (492) 833
50.1%
2024-05-11T14:24:49.678439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1543
18.2%
410
 
4.8%
390
 
4.6%
381
 
4.5%
370
 
4.4%
1 365
 
4.3%
360
 
4.2%
354
 
4.2%
353
 
4.2%
352
 
4.1%
Other values (230) 3613
42.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5278
62.2%
Space Separator 1543
 
18.2%
Decimal Number 1348
 
15.9%
Dash Punctuation 264
 
3.1%
Uppercase Letter 22
 
0.3%
Other Punctuation 12
 
0.1%
Close Punctuation 8
 
0.1%
Open Punctuation 8
 
0.1%
Lowercase Letter 6
 
0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
410
 
7.8%
390
 
7.4%
381
 
7.2%
370
 
7.0%
360
 
6.8%
354
 
6.7%
353
 
6.7%
352
 
6.7%
308
 
5.8%
269
 
5.1%
Other values (199) 1731
32.8%
Decimal Number
ValueCountFrequency (%)
1 365
27.1%
2 219
16.2%
0 135
 
10.0%
3 114
 
8.5%
5 100
 
7.4%
4 96
 
7.1%
8 90
 
6.7%
6 89
 
6.6%
7 71
 
5.3%
9 69
 
5.1%
Uppercase Letter
ValueCountFrequency (%)
K 6
27.3%
S 5
22.7%
B 4
18.2%
G 2
 
9.1%
T 1
 
4.5%
C 1
 
4.5%
D 1
 
4.5%
A 1
 
4.5%
L 1
 
4.5%
Lowercase Letter
ValueCountFrequency (%)
r 1
16.7%
e 1
16.7%
w 1
16.7%
o 1
16.7%
t 1
16.7%
k 1
16.7%
Space Separator
ValueCountFrequency (%)
1543
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 264
100.0%
Other Punctuation
ValueCountFrequency (%)
, 12
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5278
62.2%
Common 3185
37.5%
Latin 28
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
410
 
7.8%
390
 
7.4%
381
 
7.2%
370
 
7.0%
360
 
6.8%
354
 
6.7%
353
 
6.7%
352
 
6.7%
308
 
5.8%
269
 
5.1%
Other values (199) 1731
32.8%
Common
ValueCountFrequency (%)
1543
48.4%
1 365
 
11.5%
- 264
 
8.3%
2 219
 
6.9%
0 135
 
4.2%
3 114
 
3.6%
5 100
 
3.1%
4 96
 
3.0%
8 90
 
2.8%
6 89
 
2.8%
Other values (6) 170
 
5.3%
Latin
ValueCountFrequency (%)
K 6
21.4%
S 5
17.9%
B 4
14.3%
G 2
 
7.1%
T 1
 
3.6%
r 1
 
3.6%
e 1
 
3.6%
w 1
 
3.6%
o 1
 
3.6%
C 1
 
3.6%
Other values (5) 5
17.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5278
62.2%
ASCII 3213
37.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1543
48.0%
1 365
 
11.4%
- 264
 
8.2%
2 219
 
6.8%
0 135
 
4.2%
3 114
 
3.5%
5 100
 
3.1%
4 96
 
3.0%
8 90
 
2.8%
6 89
 
2.8%
Other values (21) 198
 
6.2%
Hangul
ValueCountFrequency (%)
410
 
7.8%
390
 
7.4%
381
 
7.2%
370
 
7.0%
360
 
6.8%
354
 
6.7%
353
 
6.7%
352
 
6.7%
308
 
5.8%
269
 
5.1%
Other values (199) 1731
32.8%

도로명주소
Text

MISSING 

Distinct260
Distinct (%)91.2%
Missing67
Missing (%)19.0%
Memory size2.9 KiB
2024-05-11T14:24:50.136870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length41
Mean length29.936842
Min length20

Characters and Unicode

Total characters8532
Distinct characters248
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique238 ?
Unique (%)83.5%

Sample

1st row서울특별시 종로구 북촌로4길 7 (가회동)
2nd row서울특별시 종로구 새문안로 29, 강북삼성병원 A관 10층 (평동)
3rd row서울특별시 종로구 비봉길 76 (구기동)
4th row서울특별시 종로구 종로1길 36 (수송동)
5th row서울특별시 종로구 대학로 101, 서울대학교병원 (연건동)
ValueCountFrequency (%)
서울특별시 285
 
17.0%
종로구 285
 
17.0%
1층 27
 
1.6%
종로 18
 
1.1%
지하1층 16
 
1.0%
창신동 16
 
1.0%
2층 14
 
0.8%
대학로 14
 
0.8%
새문안로 13
 
0.8%
신문로2가 13
 
0.8%
Other values (468) 973
58.1%
2024-05-11T14:24:50.915080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1389
 
16.3%
552
 
6.5%
345
 
4.0%
318
 
3.7%
303
 
3.6%
293
 
3.4%
) 292
 
3.4%
( 292
 
3.4%
286
 
3.4%
286
 
3.4%
Other values (238) 4176
48.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5284
61.9%
Space Separator 1389
 
16.3%
Decimal Number 1001
 
11.7%
Close Punctuation 292
 
3.4%
Open Punctuation 292
 
3.4%
Other Punctuation 212
 
2.5%
Dash Punctuation 33
 
0.4%
Uppercase Letter 21
 
0.2%
Lowercase Letter 6
 
0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
552
 
10.4%
345
 
6.5%
318
 
6.0%
303
 
5.7%
293
 
5.5%
286
 
5.4%
286
 
5.4%
285
 
5.4%
277
 
5.2%
163
 
3.1%
Other values (207) 2176
41.2%
Decimal Number
ValueCountFrequency (%)
1 242
24.2%
2 159
15.9%
3 128
12.8%
4 79
 
7.9%
6 78
 
7.8%
0 72
 
7.2%
5 69
 
6.9%
8 61
 
6.1%
9 58
 
5.8%
7 55
 
5.5%
Uppercase Letter
ValueCountFrequency (%)
K 6
28.6%
S 5
23.8%
G 2
 
9.5%
A 2
 
9.5%
B 2
 
9.5%
D 1
 
4.8%
T 1
 
4.8%
C 1
 
4.8%
L 1
 
4.8%
Lowercase Letter
ValueCountFrequency (%)
k 1
16.7%
t 1
16.7%
r 1
16.7%
e 1
16.7%
w 1
16.7%
o 1
16.7%
Space Separator
ValueCountFrequency (%)
1389
100.0%
Close Punctuation
ValueCountFrequency (%)
) 292
100.0%
Open Punctuation
ValueCountFrequency (%)
( 292
100.0%
Other Punctuation
ValueCountFrequency (%)
, 212
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 33
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5284
61.9%
Common 3221
37.8%
Latin 27
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
552
 
10.4%
345
 
6.5%
318
 
6.0%
303
 
5.7%
293
 
5.5%
286
 
5.4%
286
 
5.4%
285
 
5.4%
277
 
5.2%
163
 
3.1%
Other values (207) 2176
41.2%
Common
ValueCountFrequency (%)
1389
43.1%
) 292
 
9.1%
( 292
 
9.1%
1 242
 
7.5%
, 212
 
6.6%
2 159
 
4.9%
3 128
 
4.0%
4 79
 
2.5%
6 78
 
2.4%
0 72
 
2.2%
Other values (6) 278
 
8.6%
Latin
ValueCountFrequency (%)
K 6
22.2%
S 5
18.5%
G 2
 
7.4%
A 2
 
7.4%
B 2
 
7.4%
k 1
 
3.7%
t 1
 
3.7%
D 1
 
3.7%
r 1
 
3.7%
e 1
 
3.7%
Other values (5) 5
18.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5284
61.9%
ASCII 3248
38.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1389
42.8%
) 292
 
9.0%
( 292
 
9.0%
1 242
 
7.5%
, 212
 
6.5%
2 159
 
4.9%
3 128
 
3.9%
4 79
 
2.4%
6 78
 
2.4%
0 72
 
2.2%
Other values (21) 305
 
9.4%
Hangul
ValueCountFrequency (%)
552
 
10.4%
345
 
6.5%
318
 
6.0%
303
 
5.7%
293
 
5.5%
286
 
5.4%
286
 
5.4%
285
 
5.4%
277
 
5.2%
163
 
3.1%
Other values (207) 2176
41.2%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct118
Distinct (%)42.0%
Missing71
Missing (%)20.2%
Infinite0
Infinite (%)0.0%
Mean3097.5445
Minimum3000
Maximum3193
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.2 KiB
2024-05-11T14:24:51.131027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3000
5-th percentile3015
Q13047
median3089
Q33149
95-th percentile3183
Maximum3193
Range193
Interquartile range (IQR)102

Descriptive statistics

Standard deviation57.509431
Coefficient of variation (CV)0.018566136
Kurtosis-1.3327814
Mean3097.5445
Median Absolute Deviation (MAD)50
Skewness0.08688864
Sum870410
Variance3307.3346
MonotonicityNot monotonic
2024-05-11T14:24:51.393078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3047 10
 
2.8%
3131 7
 
2.0%
3039 7
 
2.0%
3080 6
 
1.7%
3176 5
 
1.4%
3182 5
 
1.4%
3143 5
 
1.4%
3067 5
 
1.4%
3187 5
 
1.4%
3043 5
 
1.4%
Other values (108) 221
62.8%
(Missing) 71
 
20.2%
ValueCountFrequency (%)
3000 1
 
0.3%
3001 3
0.9%
3003 1
 
0.3%
3004 2
0.6%
3006 2
0.6%
3009 3
0.9%
3011 1
 
0.3%
3014 1
 
0.3%
3015 3
0.9%
3016 4
1.1%
ValueCountFrequency (%)
3193 1
 
0.3%
3190 1
 
0.3%
3189 1
 
0.3%
3188 4
1.1%
3187 5
1.4%
3185 1
 
0.3%
3184 1
 
0.3%
3183 2
 
0.6%
3182 5
1.4%
3181 4
1.1%
Distinct320
Distinct (%)90.9%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
2024-05-11T14:24:51.776837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length19
Mean length8.8806818
Min length3

Characters and Unicode

Total characters3126
Distinct characters338
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

Unique292 ?
Unique (%)83.0%

Sample

1st row이화여대부속동대문병원환자식당
2nd row서울YMCA
3rd row서울재동초등학교
4th row강북삼성병원 환자식당
5th row사회복지법인 청운양로원
ValueCountFrequency (%)
어린이집 27
 
5.9%
주식회사 6
 
1.3%
구내식당 5
 
1.1%
서울청사 4
 
0.9%
무궁화어린이집 4
 
0.9%
한빛어린이집 4
 
0.9%
직원식당 3
 
0.7%
sk행복어린이집 3
 
0.7%
교보생명 3
 
0.7%
혜화유치원 3
 
0.7%
Other values (347) 395
86.4%
2024-05-11T14:24:52.456081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
138
 
4.4%
116
 
3.7%
113
 
3.6%
109
 
3.5%
105
 
3.4%
87
 
2.8%
87
 
2.8%
75
 
2.4%
69
 
2.2%
67
 
2.1%
Other values (328) 2160
69.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2787
89.2%
Space Separator 105
 
3.4%
Close Punctuation 58
 
1.9%
Uppercase Letter 57
 
1.8%
Open Punctuation 52
 
1.7%
Lowercase Letter 39
 
1.2%
Decimal Number 15
 
0.5%
Other Punctuation 10
 
0.3%
Dash Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
138
 
5.0%
116
 
4.2%
113
 
4.1%
109
 
3.9%
87
 
3.1%
87
 
3.1%
75
 
2.7%
69
 
2.5%
67
 
2.4%
58
 
2.1%
Other values (286) 1868
67.0%
Uppercase Letter
ValueCountFrequency (%)
K 13
22.8%
S 12
21.1%
G 6
10.5%
C 4
 
7.0%
B 3
 
5.3%
M 3
 
5.3%
A 3
 
5.3%
I 2
 
3.5%
H 2
 
3.5%
N 2
 
3.5%
Other values (6) 7
12.3%
Lowercase Letter
ValueCountFrequency (%)
s 8
20.5%
e 5
12.8%
u 4
10.3%
d 4
10.3%
i 4
10.3%
r 3
 
7.7%
k 3
 
7.7%
a 2
 
5.1%
n 2
 
5.1%
t 2
 
5.1%
Other values (2) 2
 
5.1%
Decimal Number
ValueCountFrequency (%)
0 4
26.7%
2 4
26.7%
1 4
26.7%
3 1
 
6.7%
5 1
 
6.7%
6 1
 
6.7%
Other Punctuation
ValueCountFrequency (%)
& 4
40.0%
. 2
20.0%
, 2
20.0%
? 2
20.0%
Space Separator
ValueCountFrequency (%)
105
100.0%
Close Punctuation
ValueCountFrequency (%)
) 58
100.0%
Open Punctuation
ValueCountFrequency (%)
( 52
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2787
89.2%
Common 243
 
7.8%
Latin 96
 
3.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
138
 
5.0%
116
 
4.2%
113
 
4.1%
109
 
3.9%
87
 
3.1%
87
 
3.1%
75
 
2.7%
69
 
2.5%
67
 
2.4%
58
 
2.1%
Other values (286) 1868
67.0%
Latin
ValueCountFrequency (%)
K 13
 
13.5%
S 12
 
12.5%
s 8
 
8.3%
G 6
 
6.2%
e 5
 
5.2%
C 4
 
4.2%
u 4
 
4.2%
d 4
 
4.2%
i 4
 
4.2%
r 3
 
3.1%
Other values (18) 33
34.4%
Common
ValueCountFrequency (%)
105
43.2%
) 58
23.9%
( 52
21.4%
0 4
 
1.6%
& 4
 
1.6%
2 4
 
1.6%
1 4
 
1.6%
- 3
 
1.2%
. 2
 
0.8%
, 2
 
0.8%
Other values (4) 5
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2787
89.2%
ASCII 339
 
10.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
138
 
5.0%
116
 
4.2%
113
 
4.1%
109
 
3.9%
87
 
3.1%
87
 
3.1%
75
 
2.7%
69
 
2.5%
67
 
2.4%
58
 
2.1%
Other values (286) 1868
67.0%
ASCII
ValueCountFrequency (%)
105
31.0%
) 58
17.1%
( 52
15.3%
K 13
 
3.8%
S 12
 
3.5%
s 8
 
2.4%
G 6
 
1.8%
e 5
 
1.5%
0 4
 
1.2%
C 4
 
1.2%
Other values (32) 72
21.2%
Distinct329
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
Minimum2000-03-16 00:00:00
Maximum2024-05-02 13:54:34
2024-05-11T14:24:52.707654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:24:52.973506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
U
206 
I
146 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 206
58.5%
I 146
41.5%

Length

2024-05-11T14:24:53.194171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:24:53.341254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 206
58.5%
i 146
41.5%
Distinct149
Distinct (%)42.3%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:04:00
2024-05-11T14:24:53.512039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:24:53.712312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

Distinct10
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
어린이집
104 
집단급식소
89 
산업체
51 
학교
48 
공공기관
28 
Other values (5)
32 

Length

Max length8
Median length6
Mean length3.8806818
Min length2

Unique

Unique2 ?
Unique (%)0.6%

Sample

1st row집단급식소
2nd row집단급식소
3rd row학교
4th row병원
5th row사회복지시설

Common Values

ValueCountFrequency (%)
어린이집 104
29.5%
집단급식소 89
25.3%
산업체 51
14.5%
학교 48
13.6%
공공기관 28
 
8.0%
병원 13
 
3.7%
사회복지시설 13
 
3.7%
기타 집단급식소 4
 
1.1%
기숙사 1
 
0.3%
산후조리원 1
 
0.3%

Length

2024-05-11T14:24:54.034712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:24:54.333347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
어린이집 104
29.2%
집단급식소 93
26.1%
산업체 51
14.3%
학교 48
13.5%
공공기관 28
 
7.9%
병원 13
 
3.7%
사회복지시설 13
 
3.7%
기타 4
 
1.1%
기숙사 1
 
0.3%
산후조리원 1
 
0.3%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct229
Distinct (%)69.2%
Missing21
Missing (%)6.0%
Infinite0
Infinite (%)0.0%
Mean198514.73
Minimum195960.55
Maximum201963.94
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.2 KiB
2024-05-11T14:24:54.592348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum195960.55
5-th percentile196336.76
Q1197369.93
median198284.39
Q3199816.94
95-th percentile201037.82
Maximum201963.94
Range6003.3927
Interquartile range (IQR)2447.0109

Descriptive statistics

Standard deviation1450.9862
Coefficient of variation (CV)0.0073092119
Kurtosis-0.77999594
Mean198514.73
Median Absolute Deviation (MAD)1107.3271
Skewness0.34340788
Sum65708377
Variance2105361.1
MonotonicityNot monotonic
2024-05-11T14:24:54.865406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
197378.869312565 6
 
1.7%
197002.668255774 5
 
1.4%
199554.074424085 4
 
1.1%
197759.173462514 4
 
1.1%
199884.542817692 4
 
1.1%
198195.965392583 4
 
1.1%
195960.546025512 4
 
1.1%
198550.794581565 4
 
1.1%
197177.065087584 4
 
1.1%
198062.887604585 4
 
1.1%
Other values (219) 288
81.8%
(Missing) 21
 
6.0%
ValueCountFrequency (%)
195960.546025512 4
1.1%
195998.893336 1
 
0.3%
196041.839277471 1
 
0.3%
196051.340889352 1
 
0.3%
196066.422789024 1
 
0.3%
196076.095289463 1
 
0.3%
196110.374956133 1
 
0.3%
196171.32627844 1
 
0.3%
196172.408351727 1
 
0.3%
196173.853620552 1
 
0.3%
ValueCountFrequency (%)
201963.938724209 1
0.3%
201861.963482173 1
0.3%
201774.358976512 2
0.6%
201728.010848506 1
0.3%
201695.167711421 2
0.6%
201468.856591382 1
0.3%
201429.971161864 1
0.3%
201404.423016803 1
0.3%
201390.277398485 1
0.3%
201311.098858818 1
0.3%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct229
Distinct (%)69.2%
Missing21
Missing (%)6.0%
Infinite0
Infinite (%)0.0%
Mean453010.06
Minimum451670.16
Maximum457299.25
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.2 KiB
2024-05-11T14:24:55.151764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum451670.16
5-th percentile451925.63
Q1452316.32
median452632.52
Q3453395.73
95-th percentile455612.12
Maximum457299.25
Range5629.0919
Interquartile range (IQR)1079.4157

Descriptive statistics

Standard deviation1089.4511
Coefficient of variation (CV)0.0024049159
Kurtosis3.2342637
Mean453010.06
Median Absolute Deviation (MAD)430.25811
Skewness1.8027368
Sum1.4994633 × 108
Variance1186903.7
MonotonicityNot monotonic
2024-05-11T14:24:55.442868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
453604.515961562 6
 
1.7%
452893.430637392 5
 
1.4%
453721.462706742 4
 
1.1%
452506.21248055 4
 
1.1%
453159.275389535 4
 
1.1%
451925.63111828 4
 
1.1%
455612.122672739 4
 
1.1%
452315.522758616 4
 
1.1%
452052.417209337 4
 
1.1%
451944.499629593 4
 
1.1%
Other values (219) 288
81.8%
(Missing) 21
 
6.0%
ValueCountFrequency (%)
451670.158825331 1
0.3%
451678.787536538 1
0.3%
451776.44366444 2
0.6%
451811.272474605 1
0.3%
451813.489945391 1
0.3%
451862.481099552 1
0.3%
451896.027279239 1
0.3%
451901.406014861 2
0.6%
451911.789172214 2
0.6%
451912.712967267 1
0.3%
ValueCountFrequency (%)
457299.250731 1
0.3%
456891.311065672 1
0.3%
456851.634243726 1
0.3%
456849.290514941 1
0.3%
456738.077295995 1
0.3%
456724.709280082 1
0.3%
456495.179178678 1
0.3%
456471.02212561 1
0.3%
456441.606296067 1
0.3%
456108.810250198 2
0.6%

위생업태명
Categorical

Distinct10
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
<NA>
109 
집단급식소
89 
어린이집
75 
산업체
32 
공공기관
18 
Other values (5)
29 

Length

Max length8
Median length4
Mean length4.0965909
Min length2

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 109
31.0%
집단급식소 89
25.3%
어린이집 75
21.3%
산업체 32
 
9.1%
공공기관 18
 
5.1%
학교 15
 
4.3%
병원 6
 
1.7%
사회복지시설 5
 
1.4%
기타 집단급식소 2
 
0.6%
산후조리원 1
 
0.3%

Length

2024-05-11T14:24:55.669089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:24:55.872445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 109
30.8%
집단급식소 91
25.7%
어린이집 75
21.2%
산업체 32
 
9.0%
공공기관 18
 
5.1%
학교 15
 
4.2%
병원 6
 
1.7%
사회복지시설 5
 
1.4%
기타 2
 
0.6%
산후조리원 1
 
0.3%
Distinct3
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
<NA>
257 
0
94 
2
 
1

Length

Max length4
Median length4
Mean length3.1903409
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 257
73.0%
0 94
 
26.7%
2 1
 
0.3%

Length

2024-05-11T14:24:56.108894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:24:56.291516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 257
73.0%
0 94
 
26.7%
2 1
 
0.3%
Distinct3
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
<NA>
257 
0
94 
2
 
1

Length

Max length4
Median length4
Mean length3.1903409
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 257
73.0%
0 94
 
26.7%
2 1
 
0.3%

Length

2024-05-11T14:24:56.574663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:24:56.809897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 257
73.0%
0 94
 
26.7%
2 1
 
0.3%
Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
<NA>
268 
기타
84 

Length

Max length4
Median length4
Mean length3.5227273
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 268
76.1%
기타 84
 
23.9%

Length

2024-05-11T14:24:57.059134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:24:57.272226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 268
76.1%
기타 84
 
23.9%

등급구분명
Categorical

Distinct3
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
<NA>
268 
기타
82 
자율
 
2

Length

Max length4
Median length4
Mean length3.5227273
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 268
76.1%
기타 82
 
23.3%
자율 2
 
0.6%

Length

2024-05-11T14:24:57.541122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:24:57.815373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 268
76.1%
기타 82
 
23.3%
자율 2
 
0.6%
Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
<NA>
290 
상수도전용
62 

Length

Max length5
Median length4
Mean length4.1761364
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 290
82.4%
상수도전용 62
 
17.6%

Length

2024-05-11T14:24:58.074658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:24:58.295762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 290
82.4%
상수도전용 62
 
17.6%

총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
<NA>
335 
0
 
17

Length

Max length4
Median length4
Mean length3.8551136
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> 335
95.2%
0 17
 
4.8%

Length

2024-05-11T14:24:58.571456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:24:58.825810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 335
95.2%
0 17
 
4.8%

본사종업원수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)3.7%
Missing191
Missing (%)54.3%
Infinite0
Infinite (%)0.0%
Mean0.19875776
Minimum0
Maximum17
Zeros155
Zeros (%)44.0%
Negative0
Negative (%)0.0%
Memory size3.2 KiB
2024-05-11T14:24:59.052833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum17
Range17
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.4782586
Coefficient of variation (CV)7.4374885
Kurtosis108.23918
Mean0.19875776
Median Absolute Deviation (MAD)0
Skewness9.97234
Sum32
Variance2.1852484
MonotonicityNot monotonic
2024-05-11T14:24:59.368111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 155
44.0%
2 2
 
0.6%
7 1
 
0.3%
3 1
 
0.3%
1 1
 
0.3%
17 1
 
0.3%
(Missing) 191
54.3%
ValueCountFrequency (%)
0 155
44.0%
1 1
 
0.3%
2 2
 
0.6%
3 1
 
0.3%
7 1
 
0.3%
17 1
 
0.3%
ValueCountFrequency (%)
17 1
 
0.3%
7 1
 
0.3%
3 1
 
0.3%
2 2
 
0.6%
1 1
 
0.3%
0 155
44.0%

공장사무직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
<NA>
335 
0
 
17

Length

Max length4
Median length4
Mean length3.8551136
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> 335
95.2%
0 17
 
4.8%

Length

2024-05-11T14:24:59.608765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:24:59.778324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 335
95.2%
0 17
 
4.8%

공장판매직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
<NA>
335 
0
 
17

Length

Max length4
Median length4
Mean length3.8551136
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> 335
95.2%
0 17
 
4.8%

Length

2024-05-11T14:25:00.289686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:25:00.491069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 335
95.2%
0 17
 
4.8%

공장생산직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
<NA>
335 
0
 
17

Length

Max length4
Median length4
Mean length3.8551136
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> 335
95.2%
0 17
 
4.8%

Length

2024-05-11T14:25:00.691612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:25:00.900142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 335
95.2%
0 17
 
4.8%

건물소유구분명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
<NA>
332 
자가
 
16
임대
 
4

Length

Max length4
Median length4
Mean length3.8863636
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> 332
94.3%
자가 16
 
4.5%
임대 4
 
1.1%

Length

2024-05-11T14:25:01.098470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:25:01.302076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 332
94.3%
자가 16
 
4.5%
임대 4
 
1.1%

보증액
Categorical

Distinct3
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
<NA>
245 
0
106 
90000000
 
1

Length

Max length8
Median length4
Mean length3.1079545
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 245
69.6%
0 106
30.1%
90000000 1
 
0.3%

Length

2024-05-11T14:25:01.518610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:25:01.715100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 245
69.6%
0 106
30.1%
90000000 1
 
0.3%

월세액
Categorical

Distinct3
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
<NA>
245 
0
106 
4000000
 
1

Length

Max length7
Median length4
Mean length3.1051136
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 245
69.6%
0 106
30.1%
4000000 1
 
0.3%

Length

2024-05-11T14:25:01.893880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:25:02.051664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 245
69.6%
0 106
30.1%
4000000 1
 
0.3%

다중이용업소여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)0.4%
Missing109
Missing (%)31.0%
Memory size836.0 B
False
243 
(Missing)
109 
ValueCountFrequency (%)
False 243
69.0%
(Missing) 109
31.0%
2024-05-11T14:25:02.200281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

MISSING  ZEROS 

Distinct121
Distinct (%)49.8%
Missing109
Missing (%)31.0%
Infinite0
Infinite (%)0.0%
Mean188.45198
Minimum0
Maximum4177
Zeros101
Zeros (%)28.7%
Negative0
Negative (%)0.0%
Memory size3.2 KiB
2024-05-11T14:25:02.433207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median27
Q3201.035
95-th percentile794.826
Maximum4177
Range4177
Interquartile range (IQR)201.035

Descriptive statistics

Standard deviation425.00096
Coefficient of variation (CV)2.2552216
Kurtosis36.637002
Mean188.45198
Median Absolute Deviation (MAD)27
Skewness5.1354456
Sum45793.83
Variance180625.81
MonotonicityNot monotonic
2024-05-11T14:25:02.663983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 101
28.7%
18.0 6
 
1.7%
100.0 4
 
1.1%
30.0 4
 
1.1%
45.0 4
 
1.1%
25.0 3
 
0.9%
157.35 2
 
0.6%
33.0 2
 
0.6%
24.0 2
 
0.6%
45.59 2
 
0.6%
Other values (111) 113
32.1%
(Missing) 109
31.0%
ValueCountFrequency (%)
0.0 101
28.7%
6.9 1
 
0.3%
7.2 1
 
0.3%
10.0 1
 
0.3%
12.43 1
 
0.3%
15.0 1
 
0.3%
15.05 1
 
0.3%
16.8 1
 
0.3%
18.0 6
 
1.7%
20.0 1
 
0.3%
ValueCountFrequency (%)
4177.0 1
0.3%
2227.84 1
0.3%
1989.12 1
0.3%
1932.0 1
0.3%
1867.96 1
0.3%
1445.4 1
0.3%
1398.0 1
0.3%
1178.38 1
0.3%
947.94 1
0.3%
907.5 1
0.3%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing352
Missing (%)100.0%
Memory size3.2 KiB

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing352
Missing (%)100.0%
Memory size3.2 KiB

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing352
Missing (%)100.0%
Memory size3.2 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
030000003000000-105-1960-0007619600104<NA>3폐업2폐업20080801<NA><NA><NA>02 7605442<NA>110126서울특별시 종로구 종로6가 70번지<NA><NA>이화여대부속동대문병원환자식당2008-04-23 10:24:00I2018-08-31 23:59:59.0집단급식소200714.358027452225.618376집단급식소00기타기타<NA><NA>0<NA><NA><NA><NA><NA><NA>N626.1<NA><NA><NA>
130000003000000-105-1967-0000319670301<NA>3폐업2폐업20050225<NA><NA><NA>02 7309391<NA>110122서울특별시 종로구 종로2가 9-0번지<NA><NA>서울YMCA2003-02-25 00:00:00I2018-08-31 23:59:59.0집단급식소198630.796271452035.412647집단급식소00기타기타<NA><NA><NA><NA><NA><NA><NA><NA><NA>N57.56<NA><NA><NA>
230000003000000-105-1968-0003319680405<NA>1영업/정상1영업<NA><NA><NA><NA>02 7636065<NA>110260서울특별시 종로구 가회동 210-0번지서울특별시 종로구 북촌로4길 7 (가회동)3056서울재동초등학교2017-08-23 18:54:27I2018-08-31 23:59:59.0학교198658.537381453062.773961학교00기타기타<NA><NA>0<NA><NA><NA><NA><NA><NA>N109.1<NA><NA><NA>
330000003000000-105-1968-001041968-11-02<NA>1영업/정상1영업<NA><NA><NA><NA>0220012001286.25110-746서울특별시 종로구 평동 108-1 강북삼성병원 A관 10층서울특별시 종로구 새문안로 29, 강북삼성병원 A관 10층 (평동)3181강북삼성병원 환자식당2023-05-31 10:08:18U2022-12-06 00:02:00.0병원197111.969638451776.443664<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
430000003000000-105-1972-0002419900331<NA>3폐업2폐업20220613<NA><NA><NA>02 3799232165.00110804서울특별시 종로구 구기동 216-2서울특별시 종로구 비봉길 76 (구기동)3001사회복지법인 청운양로원2022-06-13 14:39:12U2021-12-05 23:06:00.0사회복지시설195998.893336457299.250731<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
530000003000000-105-1972-0003419721201<NA>3폐업2폐업20210216<NA><NA><NA>0220118340125.40110140서울특별시 종로구 수송동 146-12서울특별시 종로구 종로1길 36 (수송동)3152대림산업(주)구내식당2021-02-16 16:37:04U2021-02-18 02:40:00.0산업체198087.664845452355.919806산업체00기타기타<NA><NA>0<NA><NA><NA><NA><NA><NA>N907.5<NA><NA><NA>
630000003000000-105-1974-0000819740325<NA>3폐업2폐업19950629<NA><NA><NA>02 7625111<NA>110522서울특별시 종로구 명륜2가 4-0번지<NA><NA>고대혜화병원2001-09-29 00:00:00I2018-08-31 23:59:59.0집단급식소199878.668538453693.071412집단급식소00기타기타<NA><NA><NA><NA><NA><NA><NA><NA><NA>N588.9<NA><NA><NA>
730000003000000-105-1975-0007719750523<NA>3폐업2폐업19941012<NA><NA><NA>02 7654181<NA>110360서울특별시 종로구 와룡동 161-0번지<NA><NA>의료볍인중앙병원식당2001-11-20 00:00:00I2018-08-31 23:59:59.0집단급식소199096.896175452530.065361집단급식소00기타기타<NA><NA><NA><NA><NA><NA><NA><NA><NA>N230.6<NA><NA><NA>
830000003000000-105-1978-0001519780716<NA>1영업/정상1영업<NA><NA><NA><NA>022072276273.00110744서울특별시 종로구 연건동 28-21 서울대학교병원서울특별시 종로구 대학로 101, 서울대학교병원 (연건동)3080서울대학교병원2022-11-01 11:39:30U2021-11-01 00:03:00.0병원199824.095975452984.360451<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
930000003000000-105-1979-0003119790901<NA>3폐업2폐업20100630<NA><NA><NA>0237041663<NA>110230서울특별시 종로구 삼청동 25-1번지<NA><NA>교육인적자원부교원소청심사위원회2008-04-23 10:24:11I2018-08-31 23:59:59.0집단급식소198416.776072453972.440897집단급식소00기타기타<NA><NA><NA><NA><NA><NA><NA><NA><NA>N477.88<NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
34230000003000000-105-2021-0001220211208<NA>1영업/정상1영업<NA><NA><NA><NA>022231189627.43110410서울특별시 종로구 인의동 28-2 종로플레이스 2층서울특별시 종로구 창경궁로 120, 종로플레이스 2층 (인의동)3130청정원종로어린이집2021-12-08 16:32:58I2021-12-10 00:22:42.0어린이집199785.078778452316.318503어린이집00<NA><NA>상수도전용00000<NA>00N20.0<NA><NA><NA>
34330000003000000-105-2022-000012022-04-28<NA>1영업/정상1영업<NA><NA><NA><NA>02 62131010132.09110-460서울특별시 종로구 연건동 39 대학로빌딩서울특별시 종로구 대학로 89, 대학로빌딩 지하1,지하2층 (연건동)3082치휴한방병원2023-08-02 10:43:34U2022-12-08 00:04:00.0병원200089.004473452986.206777<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
34430000003000000-105-2022-000022022-08-09<NA>1영업/정상1영업<NA><NA><NA><NA>02 739 7725108.74110-122서울특별시 종로구 종로2가 84-9 대한성서공회 종로회관서울특별시 종로구 종로 66, 대한성서공회 종로회관 1층 (종로2가)3189SBXG(에스비엑스지)2023-12-28 13:54:23U2022-11-01 21:00:00.0산업체198578.041924451963.44156<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
34530000003000000-105-2022-000032022-08-11<NA>1영업/정상1영업<NA><NA><NA><NA><NA>1573.32110-754서울특별시 종로구 연지동 1-7 현대그룹빌딩 동관서울특별시 종로구 율곡로 194, 현대그룹빌딩 동관 지하1층 (연지동)3127(주)현대그린푸드현대엘리베이터점2023-06-21 09:48:45U2022-12-05 22:03:00.0산업체199976.765493452526.527263<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
34630000003000000-105-2022-000042022-10-13<NA>1영업/정상1영업<NA><NA><NA><NA><NA>246.13110-061서울특별시 종로구 신문로1가 42 새문안교회서울특별시 종로구 새문안로 79, 새문안교회 (신문로1가)3182대한예수교장로회새문안교회2023-06-21 09:46:02U2022-12-05 22:03:00.0기타 집단급식소<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
34730000003000000-105-2022-000052022-12-13<NA>1영업/정상1영업<NA><NA><NA><NA>02 62711557209.88110-530서울특별시 종로구 혜화동 5-55 혜성교회서울특별시 종로구 혜화로6길 80, 혜성교회, 교육관 지하1층 (혜화동)3067이야기교육공동체2023-08-02 10:44:28U2022-12-08 00:04:00.0기타 집단급식소200041.547714454222.425499<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
34830000003000000-105-2023-000022023-07-20<NA>1영업/정상1영업<NA><NA><NA><NA>02 212173431079.39110-300서울특별시 종로구 관훈동 192-18 SK건설빌딩, 지하1층서울특별시 종로구 인사동7길 32, SK건설빌딩, 지하1층 (관훈동)3149SK온 온기2023-12-27 11:20:00U2022-11-01 22:09:00.0산업체198550.794582452315.522759<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
34930000003000000-105-2023-000032023-08-04<NA>1영업/정상1영업<NA><NA><NA><NA>02 2135390962.78110-846서울특별시 종로구 평창동 101-1서울특별시 종로구 평창25길 8, 1층 (평창동)3004아름다운 재활요양원2023-08-04 14:39:25I2022-12-08 00:06:00.0사회복지시설197681.281073456441.606296<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
35030000003000000-105-2023-000042023-12-07<NA>1영업/정상1영업<NA><NA><NA><NA>02 559 7044130.35110-300서울특별시 종로구 관훈동 155-2서울특별시 종로구 인사동길 49, 지하2층 (관훈동)3145나인트리 프리미어 호텔 인사동2023-12-13 13:49:33U2022-11-01 23:06:00.0산업체198498.918633452473.40375<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
35130000003000000-105-2024-000012024-03-14<NA>1영업/정상1영업<NA><NA><NA><NA>02 213526710.00110-847서울특별시 종로구 평창동 153-3 KB골든라이프케어평창카운티서울특별시 종로구 평창문화로 87, KB골든라이프케어평창카운티 지하1층 (평창동)3009(주)KB골든라이프케어 평창카운티2024-03-14 17:36:52I2023-12-02 23:06:00.0사회복지시설197349.173373456108.81025<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>