Overview

Dataset statistics

Number of variables35
Number of observations80
Missing cells727
Missing cells (%)26.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory23.5 KiB
Average record size in memory300.6 B

Variable types

Categorical14
Text6
DateTime7
Unsupported3
Numeric5

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),사무실면적,소독차량차고면적,초미립자살포기수,휴대용소독기수,동력분무기수,수동식분무기수,방독면수,보호안경수,보호용의복수,진공청소기수
Author도봉구
URLhttps://data.seoul.go.kr/dataList/OA-19436/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has constant value ""Constant
인허가취소일자 has 79 (98.8%) missing valuesMissing
폐업일자 has 40 (50.0%) missing valuesMissing
휴업시작일자 has 78 (97.5%) missing valuesMissing
휴업종료일자 has 78 (97.5%) missing valuesMissing
재개업일자 has 80 (100.0%) missing valuesMissing
전화번호 has 21 (26.2%) missing valuesMissing
소재지면적 has 80 (100.0%) missing valuesMissing
소재지우편번호 has 58 (72.5%) missing valuesMissing
지번주소 has 11 (13.8%) missing valuesMissing
도로명주소 has 3 (3.8%) missing valuesMissing
도로명우편번호 has 3 (3.8%) missing valuesMissing
업태구분명 has 80 (100.0%) missing valuesMissing
좌표정보(X) has 1 (1.2%) missing valuesMissing
좌표정보(Y) has 1 (1.2%) missing valuesMissing
사무실면적 has 57 (71.2%) missing valuesMissing
소독차량차고면적 has 57 (71.2%) missing valuesMissing
관리번호 has unique valuesUnique
인허가일자 has unique valuesUnique
최종수정일자 has unique valuesUnique
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-04-29 19:55:30.704494
Analysis finished2024-04-29 19:55:31.451052
Duration0.75 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size772.0 B
3090000
80 

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 80
100.0%

Length

2024-04-30T04:55:31.517166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:55:31.604395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3090000 80
100.0%

관리번호
Text

UNIQUE 

Distinct80
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size772.0 B
2024-04-30T04:55:31.746135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters2000
Distinct characters14
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique80 ?
Unique (%)100.0%

Sample

1st rowPHMB519913090033042500001
2nd rowPHMB519973090033042500001
3rd rowPHMB519993090033042500001
4th rowPHMB520003090033042500001
5th rowPHMB520013090033042500001
ValueCountFrequency (%)
phmb519913090033042500001 1
 
1.2%
phmb519973090033042500001 1
 
1.2%
phmb520203090033042500008 1
 
1.2%
phmb520203090033042500007 1
 
1.2%
phmb520203090033042500006 1
 
1.2%
phmb520203090033042500005 1
 
1.2%
phmb520203090033042500004 1
 
1.2%
phmb520203090033042500003 1
 
1.2%
phmb520203090033042500002 1
 
1.2%
phmb520203090033042500009 1
 
1.2%
Other values (70) 70
87.5%
2024-04-30T04:55:32.028140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 748
37.4%
3 257
 
12.8%
2 213
 
10.7%
5 173
 
8.6%
4 97
 
4.9%
9 94
 
4.7%
P 80
 
4.0%
H 80
 
4.0%
M 80
 
4.0%
B 80
 
4.0%
Other values (4) 98
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1680
84.0%
Uppercase Letter 320
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 748
44.5%
3 257
 
15.3%
2 213
 
12.7%
5 173
 
10.3%
4 97
 
5.8%
9 94
 
5.6%
1 75
 
4.5%
7 9
 
0.5%
8 8
 
0.5%
6 6
 
0.4%
Uppercase Letter
ValueCountFrequency (%)
P 80
25.0%
H 80
25.0%
M 80
25.0%
B 80
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1680
84.0%
Latin 320
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 748
44.5%
3 257
 
15.3%
2 213
 
12.7%
5 173
 
10.3%
4 97
 
5.8%
9 94
 
5.6%
1 75
 
4.5%
7 9
 
0.5%
8 8
 
0.5%
6 6
 
0.4%
Latin
ValueCountFrequency (%)
P 80
25.0%
H 80
25.0%
M 80
25.0%
B 80
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 748
37.4%
3 257
 
12.8%
2 213
 
10.7%
5 173
 
8.6%
4 97
 
4.9%
9 94
 
4.7%
P 80
 
4.0%
H 80
 
4.0%
M 80
 
4.0%
B 80
 
4.0%
Other values (4) 98
 
4.9%

인허가일자
Date

UNIQUE 

Distinct80
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size772.0 B
Minimum1991-07-03 00:00:00
Maximum2024-03-21 00:00:00
2024-04-30T04:55:32.158824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:55:32.297157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing79
Missing (%)98.8%
Memory size772.0 B
Minimum2023-02-02 00:00:00
Maximum2023-02-02 00:00:00
2024-04-30T04:55:32.378186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:55:32.452472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

영업상태코드
Categorical

Distinct4
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size772.0 B
3
40 
1
34 
5
 
4
2
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 40
50.0%
1 34
42.5%
5 4
 
5.0%
2 2
 
2.5%

Length

2024-04-30T04:55:32.542029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:55:32.643283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 40
50.0%
1 34
42.5%
5 4
 
5.0%
2 2
 
2.5%

영업상태명
Categorical

Distinct4
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size772.0 B
폐업
40 
영업/정상
34 
제외/삭제/전출
 
4
휴업
 
2

Length

Max length8
Median length2
Mean length3.575
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 40
50.0%
영업/정상 34
42.5%
제외/삭제/전출 4
 
5.0%
휴업 2
 
2.5%

Length

2024-04-30T04:55:32.751792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:55:32.840277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 40
50.0%
영업/정상 34
42.5%
제외/삭제/전출 4
 
5.0%
휴업 2
 
2.5%

상세영업상태코드
Categorical

Distinct5
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size772.0 B
3
40 
13
34 
15
 
3
2
 
2
99
 
1

Length

Max length2
Median length1
Mean length1.475
Min length1

Unique

Unique1 ?
Unique (%)1.2%

Sample

1st row3
2nd row13
3rd row3
4th row3
5th row3

Common Values

ValueCountFrequency (%)
3 40
50.0%
13 34
42.5%
15 3
 
3.8%
2 2
 
2.5%
99 1
 
1.2%

Length

2024-04-30T04:55:32.931985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:55:33.032728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 40
50.0%
13 34
42.5%
15 3
 
3.8%
2 2
 
2.5%
99 1
 
1.2%

상세영업상태명
Categorical

Distinct5
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size772.0 B
폐업
40 
영업중
34 
전출
 
3
휴업
 
2
삭제
 
1

Length

Max length3
Median length2
Mean length2.425
Min length2

Unique

Unique1 ?
Unique (%)1.2%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 40
50.0%
영업중 34
42.5%
전출 3
 
3.8%
휴업 2
 
2.5%
삭제 1
 
1.2%

Length

2024-04-30T04:55:33.137794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:55:33.230711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 40
50.0%
영업중 34
42.5%
전출 3
 
3.8%
휴업 2
 
2.5%
삭제 1
 
1.2%

폐업일자
Date

MISSING 

Distinct38
Distinct (%)95.0%
Missing40
Missing (%)50.0%
Memory size772.0 B
Minimum2008-02-01 00:00:00
Maximum2024-03-25 00:00:00
2024-04-30T04:55:33.342982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:55:33.451209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)

휴업시작일자
Date

MISSING 

Distinct2
Distinct (%)100.0%
Missing78
Missing (%)97.5%
Memory size772.0 B
Minimum2023-03-17 00:00:00
Maximum2023-11-22 00:00:00
2024-04-30T04:55:33.534285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:55:33.612504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)

휴업종료일자
Date

MISSING 

Distinct2
Distinct (%)100.0%
Missing78
Missing (%)97.5%
Memory size772.0 B
Minimum2026-03-28 00:00:00
Maximum2030-11-30 00:00:00
2024-04-30T04:55:33.679550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:55:33.760038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing80
Missing (%)100.0%
Memory size852.0 B

전화번호
Text

MISSING 

Distinct57
Distinct (%)96.6%
Missing21
Missing (%)26.2%
Memory size772.0 B
2024-04-30T04:55:33.968238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length10.762712
Min length8

Characters and Unicode

Total characters635
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique55 ?
Unique (%)93.2%

Sample

1st row02-3492-1742
2nd row02-906-6150
3rd row02-997-7400
4th row02-3493-4448
5th row02-956-5493
ValueCountFrequency (%)
02-956-5493 2
 
3.4%
02-955-1317 2
 
3.4%
02)2140-0100 1
 
1.7%
02-999-8100 1
 
1.7%
02-938-2257 1
 
1.7%
1644-8320 1
 
1.7%
02-906-6878 1
 
1.7%
1899-7097 1
 
1.7%
02-907-4981 1
 
1.7%
02-929-2580 1
 
1.7%
Other values (47) 47
79.7%
2024-04-30T04:55:34.298999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 102
16.1%
- 101
15.9%
9 81
12.8%
2 79
12.4%
4 55
8.7%
5 43
6.8%
3 40
 
6.3%
7 40
 
6.3%
1 35
 
5.5%
8 29
 
4.6%
Other values (3) 30
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 531
83.6%
Dash Punctuation 101
 
15.9%
Close Punctuation 2
 
0.3%
Math Symbol 1
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 102
19.2%
9 81
15.3%
2 79
14.9%
4 55
10.4%
5 43
8.1%
3 40
 
7.5%
7 40
 
7.5%
1 35
 
6.6%
8 29
 
5.5%
6 27
 
5.1%
Dash Punctuation
ValueCountFrequency (%)
- 101
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 635
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 102
16.1%
- 101
15.9%
9 81
12.8%
2 79
12.4%
4 55
8.7%
5 43
6.8%
3 40
 
6.3%
7 40
 
6.3%
1 35
 
5.5%
8 29
 
4.6%
Other values (3) 30
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 635
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 102
16.1%
- 101
15.9%
9 81
12.8%
2 79
12.4%
4 55
8.7%
5 43
6.8%
3 40
 
6.3%
7 40
 
6.3%
1 35
 
5.5%
8 29
 
4.6%
Other values (3) 30
 
4.7%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing80
Missing (%)100.0%
Memory size852.0 B

소재지우편번호
Text

MISSING 

Distinct21
Distinct (%)95.5%
Missing58
Missing (%)72.5%
Memory size772.0 B
2024-04-30T04:55:34.470257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.3181818
Min length6

Characters and Unicode

Total characters139
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

Unique20 ?
Unique (%)90.9%

Sample

1st row132022
2nd row132-864
3rd row132-833
4th row132896
5th row132-850
ValueCountFrequency (%)
132-850 2
 
9.1%
132-896 1
 
4.5%
132022 1
 
4.5%
132011 1
 
4.5%
132843 1
 
4.5%
132959 1
 
4.5%
132919 1
 
4.5%
132848 1
 
4.5%
132819 1
 
4.5%
132800 1
 
4.5%
Other values (11) 11
50.0%
2024-04-30T04:55:34.743438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 28
20.1%
3 27
19.4%
2 25
18.0%
8 16
11.5%
9 14
10.1%
0 9
 
6.5%
- 7
 
5.0%
4 5
 
3.6%
5 3
 
2.2%
6 3
 
2.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 132
95.0%
Dash Punctuation 7
 
5.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 28
21.2%
3 27
20.5%
2 25
18.9%
8 16
12.1%
9 14
10.6%
0 9
 
6.8%
4 5
 
3.8%
5 3
 
2.3%
6 3
 
2.3%
7 2
 
1.5%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 139
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 28
20.1%
3 27
19.4%
2 25
18.0%
8 16
11.5%
9 14
10.1%
0 9
 
6.5%
- 7
 
5.0%
4 5
 
3.6%
5 3
 
2.2%
6 3
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 139
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 28
20.1%
3 27
19.4%
2 25
18.0%
8 16
11.5%
9 14
10.1%
0 9
 
6.5%
- 7
 
5.0%
4 5
 
3.6%
5 3
 
2.2%
6 3
 
2.2%

지번주소
Text

MISSING 

Distinct67
Distinct (%)97.1%
Missing11
Missing (%)13.8%
Memory size772.0 B
2024-04-30T04:55:34.985984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length32
Mean length23.623188
Min length13

Characters and Unicode

Total characters1630
Distinct characters71
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique65 ?
Unique (%)94.2%

Sample

1st row서울특별시 도봉구 방학2동 629번지 29호 2층
2nd row서울특별시 도봉구 쌍문동 103번지 194호 3층
3rd row서울특별시 도봉구 창동 581번지 28호
4th row서울특별시 도봉구 방학동 399번지 4호
5th row서울특별시 도봉구 쌍문동 710번지 13호
ValueCountFrequency (%)
서울특별시 69
19.6%
도봉구 68
19.3%
방학동 17
 
4.8%
도봉동 16
 
4.5%
창동 15
 
4.3%
쌍문동 11
 
3.1%
3호 4
 
1.1%
지층 3
 
0.9%
3층 3
 
0.9%
창2동 3
 
0.9%
Other values (123) 143
40.6%
2024-04-30T04:55:35.325963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
284
17.4%
도 87
 
5.3%
봉 87
 
5.3%
동 74
 
4.5%
서 70
 
4.3%
구 70
 
4.3%
특 69
 
4.2%
별 69
 
4.2%
시 69
 
4.2%
울 69
 
4.2%
Other values (61) 682
41.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 973
59.7%
Decimal Number 349
 
21.4%
Space Separator 284
 
17.4%
Dash Punctuation 21
 
1.3%
Uppercase Letter 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 87
 
8.9%
봉 87
 
8.9%
동 74
 
7.6%
서 70
 
7.2%
구 70
 
7.2%
특 69
 
7.1%
별 69
 
7.1%
시 69
 
7.1%
울 69
 
7.1%
지 49
 
5.0%
Other values (48) 260
26.7%
Decimal Number
ValueCountFrequency (%)
1 62
17.8%
2 52
14.9%
6 44
12.6%
3 42
12.0%
4 32
9.2%
5 32
9.2%
0 25
7.2%
8 24
 
6.9%
7 19
 
5.4%
9 17
 
4.9%
Space Separator
ValueCountFrequency (%)
284
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 21
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 973
59.7%
Common 654
40.1%
Latin 3
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 87
 
8.9%
봉 87
 
8.9%
동 74
 
7.6%
서 70
 
7.2%
구 70
 
7.2%
특 69
 
7.1%
별 69
 
7.1%
시 69
 
7.1%
울 69
 
7.1%
지 49
 
5.0%
Other values (48) 260
26.7%
Common
ValueCountFrequency (%)
284
43.4%
1 62
 
9.5%
2 52
 
8.0%
6 44
 
6.7%
3 42
 
6.4%
4 32
 
4.9%
5 32
 
4.9%
0 25
 
3.8%
8 24
 
3.7%
- 21
 
3.2%
Other values (2) 36
 
5.5%
Latin
ValueCountFrequency (%)
B 3
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 973
59.7%
ASCII 657
40.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
284
43.2%
1 62
 
9.4%
2 52
 
7.9%
6 44
 
6.7%
3 42
 
6.4%
4 32
 
4.9%
5 32
 
4.9%
0 25
 
3.8%
8 24
 
3.7%
- 21
 
3.2%
Other values (3) 39
 
5.9%
Hangul
ValueCountFrequency (%)
도 87
 
8.9%
봉 87
 
8.9%
동 74
 
7.6%
서 70
 
7.2%
구 70
 
7.2%
특 69
 
7.1%
별 69
 
7.1%
시 69
 
7.1%
울 69
 
7.1%
지 49
 
5.0%
Other values (48) 260
26.7%

도로명주소
Text

MISSING 

Distinct75
Distinct (%)97.4%
Missing3
Missing (%)3.8%
Memory size772.0 B
2024-04-30T04:55:35.631547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length40
Mean length31.87013
Min length23

Characters and Unicode

Total characters2454
Distinct characters100
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique73 ?
Unique (%)94.8%

Sample

1st row서울특별시 도봉구 도당로13라길 3 (방학동)
2nd row서울특별시 도봉구 도봉로103길 5, 3층 (쌍문동)
3rd row서울특별시 도봉구 도봉로 575, 601호 (쌍문동)
4th row서울특별시 도봉구 도당로27길 47 (방학동)
5th row서울특별시 도봉구 덕릉로57길 30, 3층 2호 (창동)
ValueCountFrequency (%)
서울특별시 77
 
15.7%
도봉구 75
 
15.3%
방학동 21
 
4.3%
창동 20
 
4.1%
도봉동 20
 
4.1%
쌍문동 15
 
3.1%
1층 13
 
2.7%
3층 10
 
2.0%
2층 9
 
1.8%
노해로 5
 
1.0%
Other values (171) 224
45.8%
2024-04-30T04:55:36.034778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
412
 
16.8%
봉 131
 
5.3%
도 129
 
5.3%
1 108
 
4.4%
동 87
 
3.5%
시 84
 
3.4%
서 78
 
3.2%
, 77
 
3.1%
특 77
 
3.1%
별 77
 
3.1%
Other values (90) 1194
48.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1351
55.1%
Decimal Number 445
 
18.1%
Space Separator 412
 
16.8%
Other Punctuation 77
 
3.1%
Open Punctuation 76
 
3.1%
Close Punctuation 76
 
3.1%
Dash Punctuation 13
 
0.5%
Uppercase Letter 4
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
봉 131
 
9.7%
도 129
 
9.5%
동 87
 
6.4%
시 84
 
6.2%
서 78
 
5.8%
특 77
 
5.7%
별 77
 
5.7%
울 77
 
5.7%
구 76
 
5.6%
로 75
 
5.6%
Other values (73) 460
34.0%
Decimal Number
ValueCountFrequency (%)
1 108
24.3%
2 65
14.6%
6 48
10.8%
3 47
10.6%
5 45
10.1%
0 40
 
9.0%
7 27
 
6.1%
9 26
 
5.8%
4 26
 
5.8%
8 13
 
2.9%
Uppercase Letter
ValueCountFrequency (%)
B 3
75.0%
A 1
 
25.0%
Space Separator
ValueCountFrequency (%)
412
100.0%
Other Punctuation
ValueCountFrequency (%)
, 77
100.0%
Open Punctuation
ValueCountFrequency (%)
( 76
100.0%
Close Punctuation
ValueCountFrequency (%)
) 76
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1351
55.1%
Common 1099
44.8%
Latin 4
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
봉 131
 
9.7%
도 129
 
9.5%
동 87
 
6.4%
시 84
 
6.2%
서 78
 
5.8%
특 77
 
5.7%
별 77
 
5.7%
울 77
 
5.7%
구 76
 
5.6%
로 75
 
5.6%
Other values (73) 460
34.0%
Common
ValueCountFrequency (%)
412
37.5%
1 108
 
9.8%
, 77
 
7.0%
( 76
 
6.9%
) 76
 
6.9%
2 65
 
5.9%
6 48
 
4.4%
3 47
 
4.3%
5 45
 
4.1%
0 40
 
3.6%
Other values (5) 105
 
9.6%
Latin
ValueCountFrequency (%)
B 3
75.0%
A 1
 
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1351
55.1%
ASCII 1103
44.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
412
37.4%
1 108
 
9.8%
, 77
 
7.0%
( 76
 
6.9%
) 76
 
6.9%
2 65
 
5.9%
6 48
 
4.4%
3 47
 
4.3%
5 45
 
4.1%
0 40
 
3.6%
Other values (7) 109
 
9.9%
Hangul
ValueCountFrequency (%)
봉 131
 
9.7%
도 129
 
9.5%
동 87
 
6.4%
시 84
 
6.2%
서 78
 
5.8%
특 77
 
5.7%
별 77
 
5.7%
울 77
 
5.7%
구 76
 
5.6%
로 75
 
5.6%
Other values (73) 460
34.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct58
Distinct (%)75.3%
Missing3
Missing (%)3.8%
Infinite0
Infinite (%)0.0%
Mean21777.753
Minimum1224
Maximum132919
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size852.0 B
2024-04-30T04:55:36.163326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1224
5-th percentile1302
Q11328
median1389
Q31453
95-th percentile132196
Maximum132919
Range131695
Interquartile range (IQR)125

Descriptive statistics

Standard deviation47803.944
Coefficient of variation (CV)2.1950815
Kurtosis1.7927543
Mean21777.753
Median Absolute Deviation (MAD)62
Skewness1.935656
Sum1676887
Variance2.2852171 × 109
MonotonicityNot monotonic
2024-04-30T04:55:36.292737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1414 5
 
6.2%
1341 4
 
5.0%
1355 3
 
3.8%
1347 3
 
3.8%
1306 2
 
2.5%
132041 2
 
2.5%
1470 2
 
2.5%
1302 2
 
2.5%
1446 2
 
2.5%
1301 2
 
2.5%
Other values (48) 50
62.5%
(Missing) 3
 
3.8%
ValueCountFrequency (%)
1224 1
1.2%
1301 2
2.5%
1302 2
2.5%
1305 1
1.2%
1306 2
2.5%
1307 1
1.2%
1308 1
1.2%
1314 1
1.2%
1315 1
1.2%
1317 1
1.2%
ValueCountFrequency (%)
132919 1
1.2%
132896 1
1.2%
132819 1
1.2%
132800 1
1.2%
132045 1
1.2%
132044 1
1.2%
132041 2
2.5%
132032 1
1.2%
132031 1
1.2%
132030 1
1.2%

사업장명
Text

Distinct79
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Memory size772.0 B
2024-04-30T04:55:36.497830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length14
Mean length7.375
Min length2

Characters and Unicode

Total characters590
Distinct characters175
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique78 ?
Unique (%)97.5%

Sample

1st row흥진방역공사
2nd row대신환경위생(주)
3rd row(주)신양종합관리
4th row서울환경개발
5th row한솔방역
ValueCountFrequency (%)
주식회사 11
 
10.8%
대한환경공사 2
 
2.0%
클린케어 1
 
1.0%
숲속마을사회적협동조합 1
 
1.0%
휴먼클린업 1
 
1.0%
주)투엠에스엘 1
 
1.0%
클린마스터 1
 
1.0%
베테랑 1
 
1.0%
제로제로환경 1
 
1.0%
효성 1
 
1.0%
Other values (81) 81
79.4%
2024-04-30T04:55:36.987894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 27
 
4.6%
22
 
3.7%
사 22
 
3.7%
스 21
 
3.6%
린 16
 
2.7%
회 16
 
2.7%
경 15
 
2.5%
( 15
 
2.5%
) 15
 
2.5%
환 14
 
2.4%
Other values (165) 407
69.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 531
90.0%
Space Separator 22
 
3.7%
Open Punctuation 15
 
2.5%
Close Punctuation 15
 
2.5%
Decimal Number 6
 
1.0%
Uppercase Letter 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 27
 
5.1%
사 22
 
4.1%
스 21
 
4.0%
린 16
 
3.0%
회 16
 
3.0%
경 15
 
2.8%
환 14
 
2.6%
식 13
 
2.4%
이 13
 
2.4%
크 10
 
1.9%
Other values (157) 364
68.5%
Decimal Number
ValueCountFrequency (%)
9 2
33.3%
1 2
33.3%
5 1
16.7%
0 1
16.7%
Space Separator
ValueCountFrequency (%)
22
100.0%
Open Punctuation
ValueCountFrequency (%)
( 15
100.0%
Close Punctuation
ValueCountFrequency (%)
) 15
100.0%
Uppercase Letter
ValueCountFrequency (%)
F 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 531
90.0%
Common 58
 
9.8%
Latin 1
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 27
 
5.1%
사 22
 
4.1%
스 21
 
4.0%
린 16
 
3.0%
회 16
 
3.0%
경 15
 
2.8%
환 14
 
2.6%
식 13
 
2.4%
이 13
 
2.4%
크 10
 
1.9%
Other values (157) 364
68.5%
Common
ValueCountFrequency (%)
22
37.9%
( 15
25.9%
) 15
25.9%
9 2
 
3.4%
1 2
 
3.4%
5 1
 
1.7%
0 1
 
1.7%
Latin
ValueCountFrequency (%)
F 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 531
90.0%
ASCII 59
 
10.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 27
 
5.1%
사 22
 
4.1%
스 21
 
4.0%
린 16
 
3.0%
회 16
 
3.0%
경 15
 
2.8%
환 14
 
2.6%
식 13
 
2.4%
이 13
 
2.4%
크 10
 
1.9%
Other values (157) 364
68.5%
ASCII
ValueCountFrequency (%)
22
37.3%
( 15
25.4%
) 15
25.4%
9 2
 
3.4%
1 2
 
3.4%
F 1
 
1.7%
5 1
 
1.7%
0 1
 
1.7%

최종수정일자
Date

UNIQUE 

Distinct80
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size772.0 B
Minimum2012-07-11 11:04:37
Maximum2024-03-25 16:58:02
2024-04-30T04:55:37.103959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:55:37.227794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size772.0 B
U
53 
I
27 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 53
66.2%
I 27
33.8%

Length

2024-04-30T04:55:37.342038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:55:37.438819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 53
66.2%
i 27
33.8%

데이터갱신일자
Date

Distinct46
Distinct (%)57.5%
Missing0
Missing (%)0.0%
Memory size772.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-02 23:00:00
2024-04-30T04:55:37.540827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:55:37.644721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing80
Missing (%)100.0%
Memory size852.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct73
Distinct (%)92.4%
Missing1
Missing (%)1.2%
Infinite0
Infinite (%)0.0%
Mean203424.42
Minimum201247.82
Maximum204506.92
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size852.0 B
2024-04-30T04:55:37.755354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum201247.82
5-th percentile202338.18
Q1203084.69
median203467.99
Q3203829.31
95-th percentile204350.94
Maximum204506.92
Range3259.1053
Interquartile range (IQR)744.62163

Descriptive statistics

Standard deviation607.4643
Coefficient of variation (CV)0.0029861916
Kurtosis1.2786833
Mean203424.42
Median Absolute Deviation (MAD)378.54609
Skewness-0.69902486
Sum16070529
Variance369012.88
MonotonicityNot monotonic
2024-04-30T04:55:37.878729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
203554.66819415 2
 
2.5%
204035.063229754 2
 
2.5%
203220.921406024 2
 
2.5%
202338.176087569 2
 
2.5%
204397.004135761 2
 
2.5%
203530.877333003 2
 
2.5%
202969.528630363 1
 
1.2%
203755.716811907 1
 
1.2%
203988.589303617 1
 
1.2%
204335.057042232 1
 
1.2%
Other values (63) 63
78.8%
ValueCountFrequency (%)
201247.815829789 1
1.2%
201933.674703961 1
1.2%
202237.410410982 1
1.2%
202338.176087569 2
2.5%
202356.839977265 1
1.2%
202705.77064389 1
1.2%
202735.759318719 1
1.2%
202743.722437757 1
1.2%
202777.380640148 1
1.2%
202826.137550803 1
1.2%
ValueCountFrequency (%)
204506.921108086 1
1.2%
204468.657003222 1
1.2%
204397.004135761 2
2.5%
204345.826664906 1
1.2%
204335.057042232 1
1.2%
204258.587772043 1
1.2%
204238.33386129 1
1.2%
204172.527806715 1
1.2%
204136.58447783 1
1.2%
204090.260849332 1
1.2%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct73
Distinct (%)92.4%
Missing1
Missing (%)1.2%
Infinite0
Infinite (%)0.0%
Mean462061.15
Minimum458342.05
Maximum465794.09
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size852.0 B
2024-04-30T04:55:37.997630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum458342.05
5-th percentile459743.81
Q1461069.03
median462129.55
Q3463012.4
95-th percentile464974.06
Maximum465794.09
Range7452.0352
Interquartile range (IQR)1943.3712

Descriptive statistics

Standard deviation1561.5299
Coefficient of variation (CV)0.0033794876
Kurtosis-0.24305696
Mean462061.15
Median Absolute Deviation (MAD)1009.5914
Skewness0.14255611
Sum36502831
Variance2438375.7
MonotonicityNot monotonic
2024-04-30T04:55:38.129228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
463160.620073499 2
 
2.5%
465042.493324016 2
 
2.5%
459746.924430501 2
 
2.5%
460715.069435276 2
 
2.5%
461175.40204195 2
 
2.5%
462608.329958623 2
 
2.5%
462706.140578367 1
 
1.2%
459047.53542317 1
 
1.2%
461690.889299381 1
 
1.2%
461157.210858518 1
 
1.2%
Other values (63) 63
78.8%
ValueCountFrequency (%)
458342.050935107 1
1.2%
459047.53542317 1
1.2%
459614.063091496 1
1.2%
459715.760343871 1
1.2%
459746.924430501 2
2.5%
459820.472338941 1
1.2%
459857.218303243 1
1.2%
459911.397028126 1
1.2%
460001.081136921 1
1.2%
460259.892791501 1
1.2%
ValueCountFrequency (%)
465794.086175946 1
1.2%
465272.877451705 1
1.2%
465042.493324016 2
2.5%
464966.457229852 1
1.2%
464905.033086911 1
1.2%
464143.165333907 1
1.2%
464103.765403539 1
1.2%
464092.187505065 1
1.2%
463930.333412077 1
1.2%
463698.447305753 1
1.2%

사무실면적
Real number (ℝ)

MISSING 

Distinct21
Distinct (%)91.3%
Missing57
Missing (%)71.2%
Infinite0
Infinite (%)0.0%
Mean21.516087
Minimum6.76
Maximum57.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size852.0 B
2024-04-30T04:55:38.242798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6.76
5-th percentile10.608
Q112.6
median17
Q327
95-th percentile43.96
Maximum57.6
Range50.84
Interquartile range (IQR)14.4

Descriptive statistics

Standard deviation12.696952
Coefficient of variation (CV)0.59011436
Kurtosis1.7054445
Mean21.516087
Median Absolute Deviation (MAD)4.6
Skewness1.4150105
Sum494.87
Variance161.21259
MonotonicityNot monotonic
2024-04-30T04:55:38.336691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
12.6 2
 
2.5%
33.0 2
 
2.5%
16.2 1
 
1.2%
17.0 1
 
1.2%
6.76 1
 
1.2%
20.0 1
 
1.2%
13.0 1
 
1.2%
10.68 1
 
1.2%
24.0 1
 
1.2%
10.73 1
 
1.2%
Other values (11) 11
 
13.8%
(Missing) 57
71.2%
ValueCountFrequency (%)
6.76 1
1.2%
10.6 1
1.2%
10.68 1
1.2%
10.73 1
1.2%
12.4 1
1.2%
12.6 2
2.5%
13.0 1
1.2%
14.2 1
1.2%
15.0 1
1.2%
16.2 1
1.2%
ValueCountFrequency (%)
57.6 1
1.2%
44.4 1
1.2%
40.0 1
1.2%
33.0 2
2.5%
30.0 1
1.2%
24.0 1
1.2%
21.0 1
1.2%
20.6 1
1.2%
20.0 1
1.2%
19.5 1
1.2%

소독차량차고면적
Real number (ℝ)

MISSING 

Distinct20
Distinct (%)87.0%
Missing57
Missing (%)71.2%
Infinite0
Infinite (%)0.0%
Mean1884.3661
Minimum2.66
Maximum43070
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size852.0 B
2024-04-30T04:55:38.427843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.66
5-th percentile4.01
Q17.2
median10
Q315.25
95-th percentile47.16
Maximum43070
Range43067.34
Interquartile range (IQR)8.05

Descriptive statistics

Standard deviation8978.1577
Coefficient of variation (CV)4.7645507
Kurtosis22.999943
Mean1884.3661
Median Absolute Deviation (MAD)3.24
Skewness4.7958229
Sum43340.42
Variance80607315
MonotonicityNot monotonic
2024-04-30T04:55:38.527119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
10.0 3
 
3.8%
7.2 2
 
2.5%
9.5 1
 
1.2%
6.76 1
 
1.2%
16.0 1
 
1.2%
13.0 1
 
1.2%
43070.0 1
 
1.2%
6.4 1
 
1.2%
12.0 1
 
1.2%
2.66 1
 
1.2%
Other values (10) 10
 
12.5%
(Missing) 57
71.2%
ValueCountFrequency (%)
2.66 1
 
1.2%
3.9 1
 
1.2%
5.0 1
 
1.2%
6.4 1
 
1.2%
6.76 1
 
1.2%
7.2 2
2.5%
8.0 1
 
1.2%
9.5 1
 
1.2%
10.0 3
3.8%
11.6 1
 
1.2%
ValueCountFrequency (%)
43070.0 1
1.2%
50.0 1
1.2%
21.6 1
1.2%
16.5 1
1.2%
16.0 1
1.2%
15.5 1
1.2%
15.0 1
1.2%
13.0 1
1.2%
12.6 1
1.2%
12.0 1
1.2%

초미립자살포기수
Categorical

Distinct3
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size772.0 B
<NA>
47 
1
31 
2
 
2

Length

Max length4
Median length4
Mean length2.7625
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row<NA>
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
<NA> 47
58.8%
1 31
38.8%
2 2
 
2.5%

Length

2024-04-30T04:55:38.624674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:55:38.722418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 47
58.8%
1 31
38.8%
2 2
 
2.5%

휴대용소독기수
Categorical

Distinct2
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size772.0 B
<NA>
47 
2
33 

Length

Max length4
Median length4
Mean length2.7625
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row<NA>
3rd row2
4th row2
5th row2

Common Values

ValueCountFrequency (%)
<NA> 47
58.8%
2 33
41.2%

Length

2024-04-30T04:55:38.815728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:55:38.930853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 47
58.8%
2 33
41.2%

동력분무기수
Categorical

Distinct3
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size772.0 B
<NA>
47 
1
26 
0
7 

Length

Max length4
Median length4
Mean length2.7625
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row<NA>
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
<NA> 47
58.8%
1 26
32.5%
0 7
 
8.8%

Length

2024-04-30T04:55:39.046424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:55:39.167066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 47
58.8%
1 26
32.5%
0 7
 
8.8%

수동식분무기수
Categorical

Distinct3
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size772.0 B
<NA>
47 
5
25 
3
8 

Length

Max length4
Median length4
Mean length2.7625
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row5
2nd row<NA>
3rd row5
4th row5
5th row5

Common Values

ValueCountFrequency (%)
<NA> 47
58.8%
5 25
31.2%
3 8
 
10.0%

Length

2024-04-30T04:55:39.260431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:55:39.343844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 47
58.8%
5 25
31.2%
3 8
 
10.0%

방독면수
Categorical

Distinct2
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size772.0 B
<NA>
47 
5
33 

Length

Max length4
Median length4
Mean length2.7625
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row5
2nd row<NA>
3rd row5
4th row5
5th row5

Common Values

ValueCountFrequency (%)
<NA> 47
58.8%
5 33
41.2%

Length

2024-04-30T04:55:39.436917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:55:39.521781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 47
58.8%
5 33
41.2%

보호안경수
Categorical

Distinct3
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size772.0 B
<NA>
47 
5
32 
8
 
1

Length

Max length4
Median length4
Mean length2.7625
Min length1

Unique

Unique1 ?
Unique (%)1.2%

Sample

1st row5
2nd row<NA>
3rd row5
4th row5
5th row5

Common Values

ValueCountFrequency (%)
<NA> 47
58.8%
5 32
40.0%
8 1
 
1.2%

Length

2024-04-30T04:55:39.621377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:55:39.715922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 47
58.8%
5 32
40.0%
8 1
 
1.2%

보호용의복수
Categorical

Distinct2
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size772.0 B
<NA>
47 
5
33 

Length

Max length4
Median length4
Mean length2.7625
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row5
2nd row<NA>
3rd row5
4th row5
5th row5

Common Values

ValueCountFrequency (%)
<NA> 47
58.8%
5 33
41.2%

Length

2024-04-30T04:55:39.817519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:55:39.912797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 47
58.8%
5 33
41.2%

진공청소기수
Categorical

Distinct4
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size772.0 B
<NA>
47 
1
31 
4
 
1
3
 
1

Length

Max length4
Median length4
Mean length2.7625
Min length1

Unique

Unique2 ?
Unique (%)2.5%

Sample

1st row1
2nd row<NA>
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
<NA> 47
58.8%
1 31
38.8%
4 1
 
1.2%
3 1
 
1.2%

Length

2024-04-30T04:55:40.009301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:55:40.096410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 47
58.8%
1 31
38.8%
4 1
 
1.2%
3 1
 
1.2%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)사무실면적소독차량차고면적초미립자살포기수휴대용소독기수동력분무기수수동식분무기수방독면수보호안경수보호용의복수진공청소기수
03090000PHMB51991309003304250000119910703<NA>3폐업3폐업20161018<NA><NA><NA>02-3492-1742<NA>132022서울특별시 도봉구 방학2동 629번지 29호 2층서울특별시 도봉구 도당로13라길 3 (방학동)1355흥진방역공사2016-10-18 13:04:17I2018-08-31 23:59:59.0<NA>202969.52863462706.140578<NA><NA>12155551
13090000PHMB5199730900330425000011997-12-10<NA>1영업/정상13영업중<NA><NA><NA><NA>02-906-6150<NA>132-864서울특별시 도봉구 쌍문동 103번지 194호 3층서울특별시 도봉구 도봉로103길 5, 3층 (쌍문동)1452대신환경위생(주)2023-11-06 14:39:25U2022-11-01 00:08:00.0<NA>202735.759319460259.892792<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23090000PHMB51999309003304250000119990928<NA>3폐업3폐업20120817<NA><NA><NA>02-997-7400<NA><NA><NA>서울특별시 도봉구 도봉로 575, 601호 (쌍문동)132030(주)신양종합관리2012-08-17 18:00:56I2018-08-31 23:59:59.0<NA>203348.210557461557.310545<NA><NA>12155551
33090000PHMB52000309003304250000120001023<NA>3폐업3폐업20130110<NA><NA><NA>02-3493-4448<NA><NA><NA>서울특별시 도봉구 도당로27길 47 (방학동)132021서울환경개발2013-01-10 10:39:47I2018-08-31 23:59:59.0<NA>203525.170718463014.422066<NA><NA>12155551
43090000PHMB52001309003304250000120010528<NA>3폐업3폐업20180905<NA><NA><NA>02-956-5493<NA><NA>서울특별시 도봉구 창동 581번지 28호서울특별시 도봉구 덕릉로57길 30, 3층 2호 (창동)1470한솔방역2018-09-05 09:33:19U2018-09-05 23:59:59.0<NA>203220.921406459746.92443130.05.012155551
53090000PHMB5200130900330425000022001-11-06<NA>1영업/정상13영업중<NA><NA><NA><NA>02-955-0612<NA>132-833서울특별시 도봉구 방학동 399번지 4호서울특별시 도봉구 시루봉로15아길 29 (방학동)1314청수환경개발2024-03-19 09:09:36U2023-12-02 22:01:00.0<NA>202705.770644463049.207588<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63090000PHMB52002309003304250000120020509<NA>3폐업3폐업20140901<NA><NA><NA>3492-4404<NA>132896서울특별시 도봉구 쌍문동 710번지 13호서울특별시 도봉구 도봉로141길 55 (쌍문동)132896씨티방역공사2014-09-01 15:21:12I2018-08-31 23:59:59.0<NA>203364.430048462132.83811912.43.912155551
73090000PHMB52002309003304250000220020312<NA>3폐업3폐업20120727<NA><NA><NA>02-995-0614~5<NA><NA><NA>서울특별시 도봉구 도봉로141길 57 (쌍문동)132032대한환경공사2012-07-27 15:41:31I2018-08-31 23:59:59.0<NA>203353.604425462133.997456<NA><NA>12155551
83090000PHMB52004309003304250000120040220<NA>3폐업3폐업20120712<NA><NA><NA>02-990-2967<NA><NA><NA>서울특별시 도봉구 노해로69길 15, 401호 (창동)132044코암아이에스주식회사2012-07-12 17:06:56I2018-08-31 23:59:59.0<NA>204397.004136461175.402042<NA><NA>12155551
93090000PHMB52005309003304250000120050202<NA>3폐업3폐업20120801<NA><NA><NA>02-2263-0833<NA><NA><NA>서울특별시 도봉구 도봉로 476, 917호 (창동)132041천부기업2012-08-01 10:31:27I2018-08-31 23:59:59.0<NA>202999.267517460616.701328<NA><NA>12155551
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)사무실면적소독차량차고면적초미립자살포기수휴대용소독기수동력분무기수수동식분무기수방독면수보호안경수보호용의복수진공청소기수
703090000PHMB5202230900330425000032022-08-02<NA>3폐업3폐업2023-01-16<NA><NA><NA><NA><NA><NA>서울특별시 도봉구 쌍문동 85-16서울특별시 도봉구 도봉로121가길 27, 지하1층 (쌍문동)1440사단법인 한국장애인농축산기술협회 국토환경기술사업단2023-11-02 09:39:01U2022-11-01 00:04:00.0<NA>202959.17683461041.762718<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
713090000PHMB5202230900330425000042022-10-26<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 도봉구 창동 804 창동대우아파트서울특별시 도봉구 덕릉로63가길 61, 창동대우아파트 상가동 1층 136호 (창동)1465청수크린2023-11-06 13:16:34U2022-11-01 00:08:00.0<NA>203242.968499460001.081137<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
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