Overview

Dataset statistics

Number of variables35
Number of observations126
Missing cells1140
Missing cells (%)25.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory37.0 KiB
Average record size in memory301.0 B

Variable types

Categorical13
Text6
DateTime6
Unsupported4
Numeric6

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
Author마포구
URLhttps://data.seoul.go.kr/dataList/OA-19440/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
휴업시작일자 has constant value ""Constant
휴업종료일자 has constant value ""Constant
인허가취소일자 has 126 (100.0%) missing valuesMissing
폐업일자 has 74 (58.7%) missing valuesMissing
휴업시작일자 has 125 (99.2%) missing valuesMissing
휴업종료일자 has 125 (99.2%) missing valuesMissing
재개업일자 has 126 (100.0%) missing valuesMissing
전화번호 has 32 (25.4%) missing valuesMissing
소재지면적 has 126 (100.0%) missing valuesMissing
소재지우편번호 has 86 (68.3%) missing valuesMissing
지번주소 has 8 (6.3%) missing valuesMissing
도로명주소 has 5 (4.0%) missing valuesMissing
도로명우편번호 has 33 (26.2%) missing valuesMissing
업태구분명 has 126 (100.0%) missing valuesMissing
좌표정보(X) has 4 (3.2%) missing valuesMissing
좌표정보(Y) has 4 (3.2%) missing valuesMissing
사무실면적 has 47 (37.3%) missing valuesMissing
소독차량차고면적 has 47 (37.3%) missing valuesMissing
수동식분무기수 has 46 (36.5%) missing valuesMissing
관리번호 has unique valuesUnique
최종수정일자 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
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
사무실면적 has 6 (4.8%) zerosZeros
소독차량차고면적 has 6 (4.8%) zerosZeros

Reproduction

Analysis started2024-05-11 06:42:57.437044
Analysis finished2024-05-11 06:42:58.167067
Duration0.73 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
3130000
126 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3130000
2nd row3130000
3rd row3130000
4th row3130000
5th row3130000

Common Values

ValueCountFrequency (%)
3130000 126
100.0%

Length

2024-05-11T15:42:58.258863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:42:58.415154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3130000 126
100.0%

관리번호
Text

UNIQUE 

Distinct126
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-05-11T15:42:58.685787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters3150
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

Unique126 ?
Unique (%)100.0%

Sample

1st rowPHMB519893130033042500001
2nd rowPHMB519923130033042500001
3rd rowPHMB519933130033042500001
4th rowPHMB519953130033042500001
5th rowPHMB519953130033042500002
ValueCountFrequency (%)
phmb519893130033042500001 1
 
0.8%
phmb520193130033042500003 1
 
0.8%
phmb520203130033042500013 1
 
0.8%
phmb520203130033042500012 1
 
0.8%
phmb520203130033042500011 1
 
0.8%
phmb520203130033042500010 1
 
0.8%
phmb520203130033042500009 1
 
0.8%
phmb520203130033042500008 1
 
0.8%
phmb520203130033042500007 1
 
0.8%
phmb520203130033042500006 1
 
0.8%
Other values (116) 116
92.1%
2024-05-11T15:42:59.277017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1039
33.0%
3 527
16.7%
2 328
 
10.4%
5 274
 
8.7%
1 245
 
7.8%
4 149
 
4.7%
P 126
 
4.0%
H 126
 
4.0%
M 126
 
4.0%
B 126
 
4.0%
Other values (4) 84
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2646
84.0%
Uppercase Letter 504
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1039
39.3%
3 527
19.9%
2 328
 
12.4%
5 274
 
10.4%
1 245
 
9.3%
4 149
 
5.6%
9 30
 
1.1%
6 22
 
0.8%
8 20
 
0.8%
7 12
 
0.5%
Uppercase Letter
ValueCountFrequency (%)
P 126
25.0%
H 126
25.0%
M 126
25.0%
B 126
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2646
84.0%
Latin 504
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1039
39.3%
3 527
19.9%
2 328
 
12.4%
5 274
 
10.4%
1 245
 
9.3%
4 149
 
5.6%
9 30
 
1.1%
6 22
 
0.8%
8 20
 
0.8%
7 12
 
0.5%
Latin
ValueCountFrequency (%)
P 126
25.0%
H 126
25.0%
M 126
25.0%
B 126
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3150
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1039
33.0%
3 527
16.7%
2 328
 
10.4%
5 274
 
8.7%
1 245
 
7.8%
4 149
 
4.7%
P 126
 
4.0%
H 126
 
4.0%
M 126
 
4.0%
B 126
 
4.0%
Other values (4) 84
 
2.7%

인허가일자
Date

Distinct125
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Minimum1989-10-23 00:00:00
Maximum2024-01-19 00:00:00
2024-05-11T15:42:59.500517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:42:59.748143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing126
Missing (%)100.0%
Memory size1.2 KiB

영업상태코드
Categorical

Distinct5
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
1
68 
3
49 
5
 
5
4
 
3
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
1 68
54.0%
3 49
38.9%
5 5
 
4.0%
4 3
 
2.4%
2 1
 
0.8%

Length

2024-05-11T15:42:59.902766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:43:00.059503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 68
54.0%
3 49
38.9%
5 5
 
4.0%
4 3
 
2.4%
2 1
 
0.8%

영업상태명
Categorical

Distinct5
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
영업/정상
68 
폐업
49 
제외/삭제/전출
 
5
취소/말소/만료/정지/중지
 
3
휴업
 
1

Length

Max length14
Median length5
Mean length4.1428571
Min length2

Unique

Unique1 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 68
54.0%
폐업 49
38.9%
제외/삭제/전출 5
 
4.0%
취소/말소/만료/정지/중지 3
 
2.4%
휴업 1
 
0.8%

Length

2024-05-11T15:43:00.259699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:43:00.448502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 68
54.0%
폐업 49
38.9%
제외/삭제/전출 5
 
4.0%
취소/말소/만료/정지/중지 3
 
2.4%
휴업 1
 
0.8%

상세영업상태코드
Categorical

Distinct5
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
13
68 
3
49 
15
 
5
24
 
3
2
 
1

Length

Max length2
Median length2
Mean length1.6031746
Min length1

Unique

Unique1 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
13 68
54.0%
3 49
38.9%
15 5
 
4.0%
24 3
 
2.4%
2 1
 
0.8%

Length

2024-05-11T15:43:00.650537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:43:00.816996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 68
54.0%
3 49
38.9%
15 5
 
4.0%
24 3
 
2.4%
2 1
 
0.8%

상세영업상태명
Categorical

Distinct5
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
영업중
68 
폐업
49 
전출
 
5
직권폐업
 
3
휴업
 
1

Length

Max length4
Median length3
Mean length2.5873016
Min length2

Unique

Unique1 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 68
54.0%
폐업 49
38.9%
전출 5
 
4.0%
직권폐업 3
 
2.4%
휴업 1
 
0.8%

Length

2024-05-11T15:43:01.004212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:43:01.147720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 68
54.0%
폐업 49
38.9%
전출 5
 
4.0%
직권폐업 3
 
2.4%
휴업 1
 
0.8%

폐업일자
Date

MISSING 

Distinct49
Distinct (%)94.2%
Missing74
Missing (%)58.7%
Memory size1.1 KiB
Minimum2009-11-10 00:00:00
Maximum2024-01-05 00:00:00
2024-05-11T15:43:01.312873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:43:01.531857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)

휴업시작일자
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing125
Missing (%)99.2%
Memory size1.1 KiB
Minimum2023-07-01 00:00:00
Maximum2023-07-01 00:00:00
2024-05-11T15:43:01.704007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:43:01.819112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

휴업종료일자
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing125
Missing (%)99.2%
Memory size1.1 KiB
Minimum2024-12-31 00:00:00
Maximum2024-12-31 00:00:00
2024-05-11T15:43:01.919618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:43:02.027780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing126
Missing (%)100.0%
Memory size1.2 KiB

전화번호
Text

MISSING 

Distinct94
Distinct (%)100.0%
Missing32
Missing (%)25.4%
Memory size1.1 KiB
2024-05-11T15:43:02.335678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length11
Mean length11.010638
Min length8

Characters and Unicode

Total characters1035
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

Unique94 ?
Unique (%)100.0%

Sample

1st row02-3270-7257
2nd row02-333-6843
3rd row02-332-4488
4th row02-3141-2728
5th row02-338-6694
ValueCountFrequency (%)
02-337-5063 1
 
1.1%
02-6351-1004 1
 
1.1%
070-8064-4458 1
 
1.1%
02-2672-3735 1
 
1.1%
02-332-6699 1
 
1.1%
02-711-8969 1
 
1.1%
041-555-1388 1
 
1.1%
338-4602 1
 
1.1%
02-1522-5797 1
 
1.1%
02-712-9555 1
 
1.1%
Other values (85) 85
89.5%
2024-05-11T15:43:02.805961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 170
16.4%
2 159
15.4%
0 158
15.3%
3 117
11.3%
1 90
8.7%
7 84
8.1%
5 62
 
6.0%
6 61
 
5.9%
4 54
 
5.2%
8 44
 
4.3%
Other values (3) 36
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 863
83.4%
Dash Punctuation 170
 
16.4%
Other Punctuation 1
 
0.1%
Space Separator 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 159
18.4%
0 158
18.3%
3 117
13.6%
1 90
10.4%
7 84
9.7%
5 62
 
7.2%
6 61
 
7.1%
4 54
 
6.3%
8 44
 
5.1%
9 34
 
3.9%
Dash Punctuation
ValueCountFrequency (%)
- 170
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 170
16.4%
2 159
15.4%
0 158
15.3%
3 117
11.3%
1 90
8.7%
7 84
8.1%
5 62
 
6.0%
6 61
 
5.9%
4 54
 
5.2%
8 44
 
4.3%
Other values (3) 36
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 170
16.4%
2 159
15.4%
0 158
15.3%
3 117
11.3%
1 90
8.7%
7 84
8.1%
5 62
 
6.0%
6 61
 
5.9%
4 54
 
5.2%
8 44
 
4.3%
Other values (3) 36
 
3.5%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing126
Missing (%)100.0%
Memory size1.2 KiB

소재지우편번호
Text

MISSING 

Distinct32
Distinct (%)80.0%
Missing86
Missing (%)68.3%
Memory size1.1 KiB
2024-05-11T15:43:03.034819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.125
Min length6

Characters and Unicode

Total characters245
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

Unique25 ?
Unique (%)62.5%

Sample

1st row121841
2nd row121843
3rd row121821
4th row121-070
5th row121050
ValueCountFrequency (%)
121839 3
 
7.5%
121841 2
 
5.0%
121872 2
 
5.0%
121743 2
 
5.0%
121020 2
 
5.0%
121884 2
 
5.0%
121754 2
 
5.0%
121825 1
 
2.5%
121880 1
 
2.5%
121732 1
 
2.5%
Other values (22) 22
55.0%
2024-05-11T15:43:03.399072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 87
35.5%
2 51
20.8%
8 28
 
11.4%
0 19
 
7.8%
4 15
 
6.1%
7 13
 
5.3%
3 10
 
4.1%
5 9
 
3.7%
9 6
 
2.4%
- 5
 
2.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 240
98.0%
Dash Punctuation 5
 
2.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 87
36.2%
2 51
21.2%
8 28
 
11.7%
0 19
 
7.9%
4 15
 
6.2%
7 13
 
5.4%
3 10
 
4.2%
5 9
 
3.8%
9 6
 
2.5%
6 2
 
0.8%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 245
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 87
35.5%
2 51
20.8%
8 28
 
11.4%
0 19
 
7.8%
4 15
 
6.1%
7 13
 
5.3%
3 10
 
4.1%
5 9
 
3.7%
9 6
 
2.4%
- 5
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 245
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 87
35.5%
2 51
20.8%
8 28
 
11.4%
0 19
 
7.8%
4 15
 
6.1%
7 13
 
5.3%
3 10
 
4.1%
5 9
 
3.7%
9 6
 
2.4%
- 5
 
2.0%

지번주소
Text

MISSING 

Distinct111
Distinct (%)94.1%
Missing8
Missing (%)6.3%
Memory size1.1 KiB
2024-05-11T15:43:03.921692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length36
Mean length26.974576
Min length19

Characters and Unicode

Total characters3183
Distinct characters164
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

Unique104 ?
Unique (%)88.1%

Sample

1st row서울특별시 마포구 도화동 51-1 성우빌딩
2nd row서울특별시 마포구 서교동 449번지 5호 에스디타워비엔씨 7층
3rd row서울특별시 마포구 성산동 36번지 43호 202호
4th row서울특별시 마포구 서교동 449번지 5호 602호(SD Tower B&C)
5th row서울특별시 마포구 성산동 277번지 53호
ValueCountFrequency (%)
서울특별시 118
 
17.7%
마포구 118
 
17.7%
서교동 22
 
3.3%
성산동 19
 
2.9%
도화동 13
 
2.0%
합정동 9
 
1.4%
신수동 7
 
1.1%
5호 7
 
1.1%
공덕동 7
 
1.1%
3층 7
 
1.1%
Other values (234) 338
50.8%
2024-05-11T15:43:04.623623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
551
 
17.3%
서 141
 
4.4%
동 128
 
4.0%
마 123
 
3.9%
포 123
 
3.9%
시 121
 
3.8%
구 120
 
3.8%
별 119
 
3.7%
울 118
 
3.7%
특 118
 
3.7%
Other values (154) 1521
47.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1961
61.6%
Decimal Number 603
 
18.9%
Space Separator 551
 
17.3%
Dash Punctuation 33
 
1.0%
Uppercase Letter 21
 
0.7%
Open Punctuation 4
 
0.1%
Close Punctuation 4
 
0.1%
Lowercase Letter 4
 
0.1%
Other Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 141
 
7.2%
동 128
 
6.5%
마 123
 
6.3%
포 123
 
6.3%
시 121
 
6.2%
구 120
 
6.1%
별 119
 
6.1%
울 118
 
6.0%
특 118
 
6.0%
호 89
 
4.5%
Other values (126) 761
38.8%
Decimal Number
ValueCountFrequency (%)
1 103
17.1%
2 77
12.8%
4 74
12.3%
3 68
11.3%
5 64
10.6%
0 53
8.8%
6 47
7.8%
7 42
7.0%
9 41
 
6.8%
8 34
 
5.6%
Uppercase Letter
ValueCountFrequency (%)
B 5
23.8%
L 4
19.0%
G 4
19.0%
C 3
14.3%
D 2
 
9.5%
S 1
 
4.8%
M 1
 
4.8%
T 1
 
4.8%
Lowercase Letter
ValueCountFrequency (%)
r 1
25.0%
e 1
25.0%
w 1
25.0%
o 1
25.0%
Other Punctuation
ValueCountFrequency (%)
& 1
50.0%
, 1
50.0%
Space Separator
ValueCountFrequency (%)
551
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 33
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1961
61.6%
Common 1197
37.6%
Latin 25
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 141
 
7.2%
동 128
 
6.5%
마 123
 
6.3%
포 123
 
6.3%
시 121
 
6.2%
구 120
 
6.1%
별 119
 
6.1%
울 118
 
6.0%
특 118
 
6.0%
호 89
 
4.5%
Other values (126) 761
38.8%
Common
ValueCountFrequency (%)
551
46.0%
1 103
 
8.6%
2 77
 
6.4%
4 74
 
6.2%
3 68
 
5.7%
5 64
 
5.3%
0 53
 
4.4%
6 47
 
3.9%
7 42
 
3.5%
9 41
 
3.4%
Other values (6) 77
 
6.4%
Latin
ValueCountFrequency (%)
B 5
20.0%
L 4
16.0%
G 4
16.0%
C 3
12.0%
D 2
 
8.0%
S 1
 
4.0%
M 1
 
4.0%
r 1
 
4.0%
e 1
 
4.0%
w 1
 
4.0%
Other values (2) 2
 
8.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1961
61.6%
ASCII 1222
38.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
551
45.1%
1 103
 
8.4%
2 77
 
6.3%
4 74
 
6.1%
3 68
 
5.6%
5 64
 
5.2%
0 53
 
4.3%
6 47
 
3.8%
7 42
 
3.4%
9 41
 
3.4%
Other values (18) 102
 
8.3%
Hangul
ValueCountFrequency (%)
서 141
 
7.2%
동 128
 
6.5%
마 123
 
6.3%
포 123
 
6.3%
시 121
 
6.2%
구 120
 
6.1%
별 119
 
6.1%
울 118
 
6.0%
특 118
 
6.0%
호 89
 
4.5%
Other values (126) 761
38.8%

도로명주소
Text

MISSING 

Distinct121
Distinct (%)100.0%
Missing5
Missing (%)4.0%
Memory size1.1 KiB
2024-05-11T15:43:04.989273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length42
Mean length33.710744
Min length22

Characters and Unicode

Total characters4079
Distinct characters186
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

Unique121 ?
Unique (%)100.0%

Sample

1st row서울특별시 마포구 마포대로 49, 성우빌딩 15층 6호 (도화동)
2nd row서울특별시 마포구 월드컵북로 45 (서교동)
3rd row서울특별시 마포구 성미산로 57 (성산동,202호)
4th row서울특별시 마포구 월드컵북로 45, 6층 602호 (서교동, SD Tower B&C)
5th row서울특별시 마포구 월드컵로32길 49 (성산동)
ValueCountFrequency (%)
서울특별시 121
 
15.3%
마포구 121
 
15.3%
서교동 19
 
2.4%
성산동 18
 
2.3%
3층 13
 
1.6%
2층 12
 
1.5%
월드컵북로 12
 
1.5%
마포대로 11
 
1.4%
도화동 9
 
1.1%
합정동 7
 
0.9%
Other values (292) 449
56.7%
2024-05-11T15:43:05.608038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
674
 
16.5%
서 146
 
3.6%
동 144
 
3.5%
마 142
 
3.5%
포 142
 
3.5%
1 139
 
3.4%
, 135
 
3.3%
시 124
 
3.0%
울 124
 
3.0%
구 123
 
3.0%
Other values (176) 2186
53.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2362
57.9%
Space Separator 674
 
16.5%
Decimal Number 619
 
15.2%
Other Punctuation 136
 
3.3%
Open Punctuation 122
 
3.0%
Close Punctuation 122
 
3.0%
Uppercase Letter 26
 
0.6%
Dash Punctuation 14
 
0.3%
Lowercase Letter 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 146
 
6.2%
동 144
 
6.1%
마 142
 
6.0%
포 142
 
6.0%
시 124
 
5.2%
울 124
 
5.2%
구 123
 
5.2%
별 122
 
5.2%
특 121
 
5.1%
로 113
 
4.8%
Other values (148) 1061
44.9%
Decimal Number
ValueCountFrequency (%)
1 139
22.5%
2 91
14.7%
0 71
11.5%
3 68
11.0%
4 60
9.7%
6 53
 
8.6%
5 50
 
8.1%
7 34
 
5.5%
8 32
 
5.2%
9 21
 
3.4%
Uppercase Letter
ValueCountFrequency (%)
B 9
34.6%
L 4
15.4%
C 4
15.4%
G 4
15.4%
D 2
 
7.7%
T 1
 
3.8%
S 1
 
3.8%
M 1
 
3.8%
Lowercase Letter
ValueCountFrequency (%)
r 1
25.0%
e 1
25.0%
w 1
25.0%
o 1
25.0%
Other Punctuation
ValueCountFrequency (%)
, 135
99.3%
& 1
 
0.7%
Space Separator
ValueCountFrequency (%)
674
100.0%
Open Punctuation
ValueCountFrequency (%)
( 122
100.0%
Close Punctuation
ValueCountFrequency (%)
) 122
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2362
57.9%
Common 1687
41.4%
Latin 30
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 146
 
6.2%
동 144
 
6.1%
마 142
 
6.0%
포 142
 
6.0%
시 124
 
5.2%
울 124
 
5.2%
구 123
 
5.2%
별 122
 
5.2%
특 121
 
5.1%
로 113
 
4.8%
Other values (148) 1061
44.9%
Common
ValueCountFrequency (%)
674
40.0%
1 139
 
8.2%
, 135
 
8.0%
( 122
 
7.2%
) 122
 
7.2%
2 91
 
5.4%
0 71
 
4.2%
3 68
 
4.0%
4 60
 
3.6%
6 53
 
3.1%
Other values (6) 152
 
9.0%
Latin
ValueCountFrequency (%)
B 9
30.0%
L 4
13.3%
C 4
13.3%
G 4
13.3%
D 2
 
6.7%
r 1
 
3.3%
e 1
 
3.3%
w 1
 
3.3%
o 1
 
3.3%
T 1
 
3.3%
Other values (2) 2
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2362
57.9%
ASCII 1717
42.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
674
39.3%
1 139
 
8.1%
, 135
 
7.9%
( 122
 
7.1%
) 122
 
7.1%
2 91
 
5.3%
0 71
 
4.1%
3 68
 
4.0%
4 60
 
3.5%
6 53
 
3.1%
Other values (18) 182
 
10.6%
Hangul
ValueCountFrequency (%)
서 146
 
6.2%
동 144
 
6.1%
마 142
 
6.0%
포 142
 
6.0%
시 124
 
5.2%
울 124
 
5.2%
구 123
 
5.2%
별 122
 
5.2%
특 121
 
5.1%
로 113
 
4.8%
Other values (148) 1061
44.9%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct65
Distinct (%)69.9%
Missing33
Missing (%)26.2%
Infinite0
Infinite (%)0.0%
Mean6582.1505
Minimum3905
Maximum121872
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-05-11T15:43:05.878219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3905
5-th percentile3929.2
Q13973
median4044
Q34117
95-th percentile4208.4
Maximum121872
Range117967
Interquartile range (IQR)144

Descriptive statistics

Standard deviation17182.102
Coefficient of variation (CV)2.6104086
Kurtosis43.908979
Mean6582.1505
Median Absolute Deviation (MAD)72
Skewness6.7054975
Sum612140
Variance2.9522464 × 108
MonotonicityNot monotonic
2024-05-11T15:43:06.171856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4083 4
 
3.2%
4158 4
 
3.2%
4029 3
 
2.4%
3938 3
 
2.4%
3966 3
 
2.4%
4000 3
 
2.4%
3911 2
 
1.6%
4088 2
 
1.6%
4212 2
 
1.6%
4072 2
 
1.6%
Other values (55) 65
51.6%
(Missing) 33
26.2%
ValueCountFrequency (%)
3905 1
 
0.8%
3909 1
 
0.8%
3911 2
1.6%
3925 1
 
0.8%
3932 1
 
0.8%
3935 1
 
0.8%
3938 3
2.4%
3946 2
1.6%
3955 2
1.6%
3959 2
1.6%
ValueCountFrequency (%)
121872 1
0.8%
121839 1
0.8%
4214 1
0.8%
4212 2
1.6%
4206 1
0.8%
4195 2
1.6%
4181 1
0.8%
4177 2
1.6%
4175 1
0.8%
4168 1
0.8%

사업장명
Text

Distinct125
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-05-11T15:43:06.556312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length15
Mean length8.5714286
Min length2

Characters and Unicode

Total characters1080
Distinct characters218
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

Unique124 ?
Unique (%)98.4%

Sample

1st row백상코퍼레이션 주식회사
2nd row(주)에스디엠엔씨
3rd row(주)이푸른환경
4th row(주)에스디엠케이
5th row(주)평화크린텍
ValueCountFrequency (%)
주식회사 21
 
13.5%
hs호위성원파트너스 2
 
1.3%
그린f5마포본부 1
 
0.6%
케어원 1
 
0.6%
서울중부지사 1
 
0.6%
주)서브엔 1
 
0.6%
드웰링 1
 
0.6%
주)티알아이인터내셔널 1
 
0.6%
청아하게 1
 
0.6%
주)마인드앤매뉴얼 1
 
0.6%
Other values (124) 124
80.0%
2024-05-11T15:43:07.123485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 88
 
8.1%
) 69
 
6.4%
( 69
 
6.4%
스 47
 
4.4%
에 31
 
2.9%
이 29
 
2.7%
29
 
2.7%
사 28
 
2.6%
회 23
 
2.1%
식 21
 
1.9%
Other values (208) 646
59.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 893
82.7%
Close Punctuation 69
 
6.4%
Open Punctuation 69
 
6.4%
Space Separator 29
 
2.7%
Uppercase Letter 12
 
1.1%
Decimal Number 7
 
0.6%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 88
 
9.9%
스 47
 
5.3%
에 31
 
3.5%
이 29
 
3.2%
사 28
 
3.1%
회 23
 
2.6%
식 21
 
2.4%
리 21
 
2.4%
씨 15
 
1.7%
지 15
 
1.7%
Other values (194) 575
64.4%
Uppercase Letter
ValueCountFrequency (%)
S 5
41.7%
K 3
25.0%
H 2
 
16.7%
F 1
 
8.3%
C 1
 
8.3%
Decimal Number
ValueCountFrequency (%)
5 2
28.6%
1 2
28.6%
6 1
14.3%
3 1
14.3%
9 1
14.3%
Close Punctuation
ValueCountFrequency (%)
) 69
100.0%
Open Punctuation
ValueCountFrequency (%)
( 69
100.0%
Space Separator
ValueCountFrequency (%)
29
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 893
82.7%
Common 175
 
16.2%
Latin 12
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 88
 
9.9%
스 47
 
5.3%
에 31
 
3.5%
이 29
 
3.2%
사 28
 
3.1%
회 23
 
2.6%
식 21
 
2.4%
리 21
 
2.4%
씨 15
 
1.7%
지 15
 
1.7%
Other values (194) 575
64.4%
Common
ValueCountFrequency (%)
) 69
39.4%
( 69
39.4%
29
16.6%
5 2
 
1.1%
1 2
 
1.1%
6 1
 
0.6%
3 1
 
0.6%
9 1
 
0.6%
. 1
 
0.6%
Latin
ValueCountFrequency (%)
S 5
41.7%
K 3
25.0%
H 2
 
16.7%
F 1
 
8.3%
C 1
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 893
82.7%
ASCII 187
 
17.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 88
 
9.9%
스 47
 
5.3%
에 31
 
3.5%
이 29
 
3.2%
사 28
 
3.1%
회 23
 
2.6%
식 21
 
2.4%
리 21
 
2.4%
씨 15
 
1.7%
지 15
 
1.7%
Other values (194) 575
64.4%
ASCII
ValueCountFrequency (%)
) 69
36.9%
( 69
36.9%
29
15.5%
S 5
 
2.7%
K 3
 
1.6%
H 2
 
1.1%
5 2
 
1.1%
1 2
 
1.1%
F 1
 
0.5%
6 1
 
0.5%
Other values (4) 4
 
2.1%

최종수정일자
Date

UNIQUE 

Distinct126
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Minimum2008-12-16 12:17:14
Maximum2024-04-24 15:00:29
2024-05-11T15:43:07.348761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:43:07.574341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
I
71 
U
55 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 71
56.3%
U 55
43.7%

Length

2024-05-11T15:43:07.762811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:43:07.910932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 71
56.3%
u 55
43.7%

데이터갱신일자
Date

Distinct65
Distinct (%)51.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-03 22:06:00
2024-05-11T15:43:08.106439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:43:08.386369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing126
Missing (%)100.0%
Memory size1.2 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct105
Distinct (%)86.1%
Missing4
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean193269.27
Minimum189392.98
Maximum196121
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-05-11T15:43:08.910450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum189392.98
5-th percentile191022.68
Q1192213.77
median192703.85
Q3194808.94
95-th percentile195774.6
Maximum196121
Range6728.0286
Interquartile range (IQR)2595.1634

Descriptive statistics

Standard deviation1588.6817
Coefficient of variation (CV)0.0082200431
Kurtosis-0.87242942
Mean193269.27
Median Absolute Deviation (MAD)1189.1044
Skewness0.075199831
Sum23578851
Variance2523909.7
MonotonicityNot monotonic
2024-05-11T15:43:09.113940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
193166.430144679 4
 
3.2%
192657.279091314 4
 
3.2%
195184.335899857 2
 
1.6%
191337.868996616 2
 
1.6%
192212.251350888 2
 
1.6%
192408.728864108 2
 
1.6%
194974.587674037 2
 
1.6%
195766.588069694 2
 
1.6%
194301.304865904 2
 
1.6%
192336.679503821 2
 
1.6%
Other values (95) 98
77.8%
(Missing) 4
 
3.2%
ValueCountFrequency (%)
189392.975995366 1
0.8%
190125.564768858 1
0.8%
190204.923593825 2
1.6%
190256.997348579 1
0.8%
190908.230678472 1
0.8%
191010.381048042 1
0.8%
191256.434556567 1
0.8%
191263.451931121 1
0.8%
191307.094540017 1
0.8%
191330.837738425 1
0.8%
ValueCountFrequency (%)
196121.004601938 1
0.8%
196057.949965838 1
0.8%
196049.827687957 1
0.8%
196032.876701898 1
0.8%
195855.929796079 1
0.8%
195801.332676206 1
0.8%
195775.018463291 1
0.8%
195766.588069694 2
1.6%
195748.06444032 1
0.8%
195568.006693886 1
0.8%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct105
Distinct (%)86.1%
Missing4
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean450088.23
Minimum448229.06
Maximum453114.73
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-05-11T15:43:09.315347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum448229.06
5-th percentile448645.56
Q1449330.9
median450066.4
Q3450696.05
95-th percentile451964.48
Maximum453114.73
Range4885.6687
Interquartile range (IQR)1365.1509

Descriptive statistics

Standard deviation1057.9217
Coefficient of variation (CV)0.0023504763
Kurtosis0.064085498
Mean450088.23
Median Absolute Deviation (MAD)726.64902
Skewness0.58247703
Sum54910764
Variance1119198.4
MonotonicityNot monotonic
2024-05-11T15:43:09.503108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
450425.852790862 4
 
3.2%
450655.913637203 4
 
3.2%
448780.26877488 2
 
1.6%
451395.153092798 2
 
1.6%
451389.941892155 2
 
1.6%
450178.048591944 2
 
1.6%
448229.063825491 2
 
1.6%
449083.306922623 2
 
1.6%
449388.053900946 2
 
1.6%
449349.706673537 2
 
1.6%
Other values (95) 98
77.8%
(Missing) 4
 
3.2%
ValueCountFrequency (%)
448229.063825491 2
1.6%
448407.752664604 1
0.8%
448437.479009838 1
0.8%
448507.812256819 1
0.8%
448634.756333949 1
0.8%
448644.311298762 1
0.8%
448669.284545862 1
0.8%
448704.93923856 1
0.8%
448725.077064367 1
0.8%
448733.404817253 2
1.6%
ValueCountFrequency (%)
453114.7324935 1
0.8%
453090.149821248 1
0.8%
452647.977464275 1
0.8%
452434.679034834 2
1.6%
452207.500653521 1
0.8%
451972.154018501 1
0.8%
451818.698376375 1
0.8%
451798.115526927 1
0.8%
451435.100121438 1
0.8%
451398.784543169 1
0.8%

사무실면적
Real number (ℝ)

MISSING  ZEROS 

Distinct73
Distinct (%)92.4%
Missing47
Missing (%)37.3%
Infinite0
Infinite (%)0.0%
Mean44.580759
Minimum0
Maximum322.57
Zeros6
Zeros (%)4.8%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-05-11T15:43:09.747520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q114.105
median29.16
Q359.69
95-th percentile120.684
Maximum322.57
Range322.57
Interquartile range (IQR)45.585

Descriptive statistics

Standard deviation49.674164
Coefficient of variation (CV)1.1142512
Kurtosis12.222763
Mean44.580759
Median Absolute Deviation (MAD)20.46
Skewness2.8468323
Sum3521.88
Variance2467.5225
MonotonicityNot monotonic
2024-05-11T15:43:09.965238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 6
 
4.8%
29.7 2
 
1.6%
21.06 1
 
0.8%
24.0 1
 
0.8%
44.1 1
 
0.8%
143.0 1
 
0.8%
35.5 1
 
0.8%
23.88 1
 
0.8%
30.65 1
 
0.8%
23.87 1
 
0.8%
Other values (63) 63
50.0%
(Missing) 47
37.3%
ValueCountFrequency (%)
0.0 6
4.8%
4.32 1
 
0.8%
4.48 1
 
0.8%
5.0 1
 
0.8%
5.28 1
 
0.8%
6.25 1
 
0.8%
7.2 1
 
0.8%
7.25 1
 
0.8%
7.41 1
 
0.8%
8.0 1
 
0.8%
ValueCountFrequency (%)
322.57 1
0.8%
192.0 1
0.8%
143.0 1
0.8%
122.34 1
0.8%
120.5 1
0.8%
110.9 1
0.8%
109.2 1
0.8%
103.8 1
0.8%
97.66 1
0.8%
97.06 1
0.8%

소독차량차고면적
Real number (ℝ)

MISSING  ZEROS 

Distinct69
Distinct (%)87.3%
Missing47
Missing (%)37.3%
Infinite0
Infinite (%)0.0%
Mean17.800127
Minimum0
Maximum171
Zeros6
Zeros (%)4.8%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-05-11T15:43:10.147192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15.925
median13
Q323.715
95-th percentile44.827
Maximum171
Range171
Interquartile range (IQR)17.79

Descriptive statistics

Standard deviation22.188943
Coefficient of variation (CV)1.246561
Kurtosis28.970344
Mean17.800127
Median Absolute Deviation (MAD)8.33
Skewness4.5326901
Sum1406.21
Variance492.34919
MonotonicityNot monotonic
2024-05-11T15:43:10.341357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 6
 
4.8%
10.0 3
 
2.4%
7.0 2
 
1.6%
6.0 2
 
1.6%
4.32 2
 
1.6%
18.0 1
 
0.8%
35.0 1
 
0.8%
8.05 1
 
0.8%
5.5 1
 
0.8%
8.4 1
 
0.8%
Other values (59) 59
46.8%
(Missing) 47
37.3%
ValueCountFrequency (%)
0.0 6
4.8%
2.16 1
 
0.8%
2.38 1
 
0.8%
2.43 1
 
0.8%
2.88 1
 
0.8%
3.0 1
 
0.8%
3.18 1
 
0.8%
3.4 1
 
0.8%
4.0 1
 
0.8%
4.32 2
 
1.6%
ValueCountFrequency (%)
171.0 1
0.8%
68.25 1
0.8%
45.5 1
0.8%
45.07 1
0.8%
44.8 1
0.8%
42.32 1
0.8%
42.0 1
0.8%
40.88 1
0.8%
39.53 1
0.8%
35.0 1
0.8%

초미립자살포기수
Categorical

Distinct5
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
1
74 
<NA>
46 
2
 
3
4
 
2
3
 
1

Length

Max length4
Median length1
Mean length2.0952381
Min length1

Unique

Unique1 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
1 74
58.7%
<NA> 46
36.5%
2 3
 
2.4%
4 2
 
1.6%
3 1
 
0.8%

Length

2024-05-11T15:43:10.596539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:43:10.751411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 74
58.7%
na 46
36.5%
2 3
 
2.4%
4 2
 
1.6%
3 1
 
0.8%

휴대용소독기수
Categorical

Distinct3
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2
78 
<NA>
46 
4
 
2

Length

Max length4
Median length1
Mean length2.0952381
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 78
61.9%
<NA> 46
36.5%
4 2
 
1.6%

Length

2024-05-11T15:43:10.898324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:43:11.030453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 78
61.9%
na 46
36.5%
4 2
 
1.6%

동력분무기수
Categorical

Distinct4
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
46 
1
44 
0
35 
2
 
1

Length

Max length4
Median length1
Mean length2.0952381
Min length1

Unique

Unique1 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 46
36.5%
1 44
34.9%
0 35
27.8%
2 1
 
0.8%

Length

2024-05-11T15:43:11.174764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:43:11.312197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 46
36.5%
1 44
34.9%
0 35
27.8%
2 1
 
0.8%

수동식분무기수
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)7.5%
Missing46
Missing (%)36.5%
Infinite0
Infinite (%)0.0%
Mean4.425
Minimum3
Maximum20
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-05-11T15:43:11.441521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile3
Q13
median5
Q35
95-th percentile5.1
Maximum20
Range17
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.1034932
Coefficient of variation (CV)0.47536569
Kurtosis38.205735
Mean4.425
Median Absolute Deviation (MAD)0
Skewness5.2590505
Sum354
Variance4.4246835
MonotonicityNot monotonic
2024-05-11T15:43:11.612374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
5 41
32.5%
3 33
26.2%
7 2
 
1.6%
4 2
 
1.6%
8 1
 
0.8%
20 1
 
0.8%
(Missing) 46
36.5%
ValueCountFrequency (%)
3 33
26.2%
4 2
 
1.6%
5 41
32.5%
7 2
 
1.6%
8 1
 
0.8%
20 1
 
0.8%
ValueCountFrequency (%)
20 1
 
0.8%
8 1
 
0.8%
7 2
 
1.6%
5 41
32.5%
4 2
 
1.6%
3 33
26.2%

방독면수
Categorical

Distinct3
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
5
79 
<NA>
46 
6
 
1

Length

Max length4
Median length1
Mean length2.0952381
Min length1

Unique

Unique1 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
5 79
62.7%
<NA> 46
36.5%
6 1
 
0.8%

Length

2024-05-11T15:43:11.824728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:43:11.950757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
5 79
62.7%
na 46
36.5%
6 1
 
0.8%

보호안경수
Categorical

Distinct3
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
5
79 
<NA>
46 
6
 
1

Length

Max length4
Median length1
Mean length2.0952381
Min length1

Unique

Unique1 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
5 79
62.7%
<NA> 46
36.5%
6 1
 
0.8%

Length

2024-05-11T15:43:12.088889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:43:12.221834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
5 79
62.7%
na 46
36.5%
6 1
 
0.8%

보호용의복수
Categorical

Distinct3
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
5
79 
<NA>
46 
30
 
1

Length

Max length4
Median length1
Mean length2.1031746
Min length1

Unique

Unique1 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
5 79
62.7%
<NA> 46
36.5%
30 1
 
0.8%

Length

2024-05-11T15:43:12.350791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:43:12.477515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
5 79
62.7%
na 46
36.5%
30 1
 
0.8%

진공청소기수
Categorical

Distinct5
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
1
71 
<NA>
46 
2
 
6
3
 
2
5
 
1

Length

Max length4
Median length1
Mean length2.0952381
Min length1

Unique

Unique1 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
1 71
56.3%
<NA> 46
36.5%
2 6
 
4.8%
3 2
 
1.6%
5 1
 
0.8%

Length

2024-05-11T15:43:12.652203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:43:12.810563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 71
56.3%
na 46
36.5%
2 6
 
4.8%
3 2
 
1.6%
5 1
 
0.8%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)사무실면적소독차량차고면적초미립자살포기수휴대용소독기수동력분무기수수동식분무기수방독면수보호안경수보호용의복수진공청소기수
03130000PHMB5198931300330425000011989-10-23<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3270-7257<NA><NA>서울특별시 마포구 도화동 51-1 성우빌딩서울특별시 마포구 마포대로 49, 성우빌딩 15층 6호 (도화동)4158백상코퍼레이션 주식회사2023-06-23 11:22:26U2022-12-05 22:05:00.0<NA>195237.642733448733.404817<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13130000PHMB51992313003304250000119920108<NA>1영업/정상13영업중<NA><NA><NA><NA>02-333-6843<NA>121841서울특별시 마포구 서교동 449번지 5호 에스디타워비엔씨 7층서울특별시 마포구 월드컵북로 45 (서교동)4000(주)에스디엠엔씨2012-07-27 13:34:51I2018-08-31 23:59:59.0<NA>192657.279091450655.91363752.532.512155551
23130000PHMB51993313003304250000119930630<NA>1영업/정상13영업중<NA><NA><NA><NA>02-332-4488<NA>121843서울특별시 마포구 성산동 36번지 43호 202호서울특별시 마포구 성미산로 57 (성산동,202호)<NA>(주)이푸른환경2009-01-22 13:54:54I2018-08-31 23:59:59.0<NA>192378.323211450809.48416614.24.3212155551
33130000PHMB51995313003304250000119951016<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3141-2728<NA><NA>서울특별시 마포구 서교동 449번지 5호 602호(SD Tower B&C)서울특별시 마포구 월드컵북로 45, 6층 602호 (서교동, SD Tower B&C)4000(주)에스디엠케이2017-06-28 11:27:42I2018-08-31 23:59:59.0<NA>192657.279091450655.91363775.118.8712155551
43130000PHMB51995313003304250000219951129<NA>1영업/정상13영업중<NA><NA><NA><NA>02-338-6694<NA><NA>서울특별시 마포구 성산동 277번지 53호서울특별시 마포구 월드컵로32길 49 (성산동)3965(주)평화크린텍2016-08-10 14:07:17I2018-08-31 23:59:59.0<NA>191737.912404451229.5537639.221.3312155551
53130000PHMB51996313003304250000119961212<NA>3폐업3폐업20110302<NA><NA><NA>02-336-1681<NA>121821서울특별시 마포구 망원동 404번지 32호 지하1층서울특별시 마포구 망원로6길 37 (망원동,지하1층)<NA>복지실업2011-03-02 12:02:21I2018-08-31 23:59:59.0<NA>191430.362388450337.34558933.9523.4912155551
63130000PHMB5199931300330425000011999-04-06<NA>5제외/삭제/전출15전출<NA><NA><NA><NA>02-718-8855<NA>121-070서울특별시 마포구 용강동 494번지 13호 신석빌딩 2층서울특별시 마포구 대흥로 36-7 (용강동,신석빌딩 2층)<NA>(주)백제기업2023-11-30 09:05:32U2022-11-02 00:02:00.0<NA>194536.960573449061.727717<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73130000PHMB51999313003304250000219991104<NA>3폐업3폐업20120109<NA><NA><NA>02-701-7223<NA>121050서울특별시 마포구 마포동 36번지 1호<NA><NA>(주)미성산업개발2012-01-09 10:17:04I2018-08-31 23:59:59.0<NA>194857.645862448507.81225729.726.112155551
83130000PHMB52001313003304250000120010323<NA>1영업/정상13영업중<NA><NA><NA><NA>02-337-9773<NA>121841서울특별시 마포구 서교동 449번지 5호 에스디타워비엔씨 7층서울특별시 마포구 월드컵북로 45 (서교동,에스디타워비엔씨 7층)<NA>(주)에스디케이2020-07-16 16:54:21U2020-07-18 02:40:00.0<NA>192657.279091450655.91363770.045.512155551
93130000PHMB5200131300330425000022001-07-13<NA>3폐업3폐업2023-08-17<NA><NA><NA>02-712-6523<NA>121-809서울특별시 마포구 대흥동 298번지 신동빌딩 3층서울특별시 마포구 대흥로 83, 3층 (대흥동, 동신빌딩)4110(주)씨스엠2023-08-25 08:50:09U2022-12-07 22:07:00.0<NA>194747.892744449485.408801<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)사무실면적소독차량차고면적초미립자살포기수휴대용소독기수동력분무기수수동식분무기수방독면수보호안경수보호용의복수진공청소기수
1163130000PHMB5202231300330425000032018-04-02<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 합정동 382-20 스퀘어리버뷰합정서울특별시 마포구 양화로 13, 스퀘어리버뷰합정 202호 (합정동)4027(주)퓨머크린2023-12-29 10:17:59U2022-11-01 21:01:00.0<NA>192021.89863449617.783267<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1173130000PHMB5202231300330425000042022-08-08<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 대흥동 18-25서울특별시 마포구 고산18길 6, 1층 (대흥동)4106웰니스클린케어2023-02-01 15:26:57U2022-12-02 00:03:00.0<NA>195083.12102450204.820381<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1183130000PHMB52022313003304250000520200928<NA>1영업/정상13영업중<NA><NA><NA><NA>023266217<NA><NA>서울특별시 마포구 공덕동 254-8 동방빌딩서울특별시 마포구 마포대로 130, 동방빌딩 7층 (공덕동)4212나이스씨엠에스 주식회사2022-09-16 17:57:45I2021-12-08 23:08:00.0<NA>195775.018463449299.521406<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1193130000PHMB5202331300330425000012023-02-02<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 서교동 482-21서울특별시 마포구 월드컵로8길 45-8, 3261호 (서교동)4029에던스코리아2023-02-02 17:17:46I2022-12-02 00:04:00.0<NA>192408.728864450178.048592<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1203130000PHMB5202331300330425000022023-09-05<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 대흥동 328-55서울특별시 마포구 독막로 246, 2층 201호 (대흥동)4150닥터K방역2023-09-07 13:57:32I2022-12-09 00:09:00.0<NA>194702.877493449347.860797<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1213130000PHMB5202331300330425000032022-11-16<NA>5제외/삭제/전출15전출<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 합정동 362-8서울특별시 마포구 독막로6길 9, 2층 8호 (합정동)4072디케어2024-01-08 16:19:08U2023-11-30 23:00:00.0<NA>192652.282024449483.723207<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1223130000PHMB5202431300330425000012024-01-05<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 창전동 390-21서울특별시 마포구 독막로 130-1, 1층 (창전동)4078청담케어 사회적협동조합2024-01-08 08:53:52I2023-11-30 23:00:00.0<NA>193562.128161449467.757567<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1233130000PHMB5202431300330425000022024-01-19<NA>1영업/정상13영업중<NA><NA><NA><NA>023375060<NA><NA>서울특별시 마포구 성산동 51-12서울특별시 마포구 월드컵북로 132, 4층 (성산동)3972주식회사 현선산업2024-01-19 16:48:43I2023-11-30 22:01:00.0<NA>192212.251351451389.941892<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1243130000PHMB5202431300330425000032020-11-19<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2294-9100<NA><NA>서울특별시 마포구 성산동 591-4 대명비첸시티오피스텔서울특별시 마포구 월드컵로 196, 대명비첸시티오피스텔 B105동 지하1층 C02호 (성산동)3938환경클린2024-04-24 15:00:29I2023-12-03 22:06:00.0<NA>191337.868997451395.153093<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1253130000PHMB5202431300330425000042021-08-20<NA>1영업/정상13영업중<NA><NA><NA><NA>0507-1421-0063<NA><NA>서울특별시 마포구 성산동 591-4 대명비첸시티오피스텔서울특별시 마포구 월드컵로 196, 대명비첸시티오피스텔 B105동 지하1층 C01호 (성산동)3938주식회사 다경환경산업2024-04-24 14:29:55I2023-12-03 22:06:00.0<NA>191337.868997451395.153093<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>