Overview

Dataset statistics

Number of variables35
Number of observations65
Missing cells557
Missing cells (%)24.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory19.2 KiB
Average record size in memory303.0 B

Variable types

Categorical14
Text7
DateTime4
Unsupported6
Numeric4

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
Author서대문구
URLhttps://data.seoul.go.kr/dataList/OA-19439/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has 65 (100.0%) missing valuesMissing
폐업일자 has 28 (43.1%) missing valuesMissing
휴업시작일자 has 65 (100.0%) missing valuesMissing
휴업종료일자 has 65 (100.0%) missing valuesMissing
재개업일자 has 65 (100.0%) missing valuesMissing
전화번호 has 17 (26.2%) missing valuesMissing
소재지면적 has 65 (100.0%) missing valuesMissing
소재지우편번호 has 43 (66.2%) missing valuesMissing
지번주소 has 1 (1.5%) missing valuesMissing
도로명주소 has 2 (3.1%) missing valuesMissing
도로명우편번호 has 2 (3.1%) missing valuesMissing
업태구분명 has 65 (100.0%) missing valuesMissing
좌표정보(X) has 1 (1.5%) missing valuesMissing
좌표정보(Y) has 1 (1.5%) missing valuesMissing
사무실면적 has 36 (55.4%) missing valuesMissing
소독차량차고면적 has 36 (55.4%) missing valuesMissing
관리번호 has unique valuesUnique
최종수정일자 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
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 started2024-04-06 11:29:48.473704
Analysis finished2024-04-06 11:29:49.311153
Duration0.84 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size652.0 B
3120000
65 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3120000
2nd row3120000
3rd row3120000
4th row3120000
5th row3120000

Common Values

ValueCountFrequency (%)
3120000 65
100.0%

Length

2024-04-06T20:29:49.412926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:29:49.592000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3120000 65
100.0%

관리번호
Text

UNIQUE 

Distinct65
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size652.0 B
2024-04-06T20:29:49.918010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters1625
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

Unique65 ?
Unique (%)100.0%

Sample

1st rowPHMB519903120033042500001
2nd rowPHMB519933120033042500001
3rd rowPHMB519943120033042500001
4th rowPHMB519953120033042500001
5th rowPHMB519983120033042500001
ValueCountFrequency (%)
phmb519903120033042500001 1
 
1.5%
phmb520193120033042500001 1
 
1.5%
phmb520203120033042500001 1
 
1.5%
phmb520203120033042500002 1
 
1.5%
phmb520203120033042500003 1
 
1.5%
phmb520203120033042500004 1
 
1.5%
phmb520203120033042500005 1
 
1.5%
phmb520203120033042500007 1
 
1.5%
phmb520203120033042500008 1
 
1.5%
phmb520203120033042500009 1
 
1.5%
Other values (55) 55
84.6%
2024-04-06T20:29:50.519443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 531
32.7%
2 246
15.1%
3 212
 
13.0%
5 142
 
8.7%
1 129
 
7.9%
4 74
 
4.6%
P 65
 
4.0%
H 65
 
4.0%
M 65
 
4.0%
B 65
 
4.0%
Other values (4) 31
 
1.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1365
84.0%
Uppercase Letter 260
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 531
38.9%
2 246
18.0%
3 212
 
15.5%
5 142
 
10.4%
1 129
 
9.5%
4 74
 
5.4%
9 18
 
1.3%
8 6
 
0.4%
7 5
 
0.4%
6 2
 
0.1%
Uppercase Letter
ValueCountFrequency (%)
P 65
25.0%
H 65
25.0%
M 65
25.0%
B 65
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1365
84.0%
Latin 260
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 531
38.9%
2 246
18.0%
3 212
 
15.5%
5 142
 
10.4%
1 129
 
9.5%
4 74
 
5.4%
9 18
 
1.3%
8 6
 
0.4%
7 5
 
0.4%
6 2
 
0.1%
Latin
ValueCountFrequency (%)
P 65
25.0%
H 65
25.0%
M 65
25.0%
B 65
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1625
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 531
32.7%
2 246
15.1%
3 212
 
13.0%
5 142
 
8.7%
1 129
 
7.9%
4 74
 
4.6%
P 65
 
4.0%
H 65
 
4.0%
M 65
 
4.0%
B 65
 
4.0%
Other values (4) 31
 
1.9%

인허가일자
Date

Distinct61
Distinct (%)93.8%
Missing0
Missing (%)0.0%
Memory size652.0 B
Minimum1990-12-24 00:00:00
Maximum2023-12-29 00:00:00
2024-04-06T20:29:50.752064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T20:29:50.974795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing65
Missing (%)100.0%
Memory size717.0 B

영업상태코드
Categorical

Distinct4
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size652.0 B
3
31 
1
26 
4
6 
5
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 31
47.7%
1 26
40.0%
4 6
 
9.2%
5 2
 
3.1%

Length

2024-04-06T20:29:51.186906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:29:51.776886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 31
47.7%
1 26
40.0%
4 6
 
9.2%
5 2
 
3.1%

영업상태명
Categorical

Distinct4
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size652.0 B
폐업
31 
영업/정상
26 
취소/말소/만료/정지/중지
6 
제외/삭제/전출
 
2

Length

Max length14
Median length8
Mean length4.4923077
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 31
47.7%
영업/정상 26
40.0%
취소/말소/만료/정지/중지 6
 
9.2%
제외/삭제/전출 2
 
3.1%

Length

2024-04-06T20:29:51.951918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:29:52.143661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 31
47.7%
영업/정상 26
40.0%
취소/말소/만료/정지/중지 6
 
9.2%
제외/삭제/전출 2
 
3.1%

상세영업상태코드
Categorical

Distinct4
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size652.0 B
3
31 
13
26 
24
6 
15
 
2

Length

Max length2
Median length2
Mean length1.5230769
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 31
47.7%
13 26
40.0%
24 6
 
9.2%
15 2
 
3.1%

Length

2024-04-06T20:29:52.346351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:29:52.533184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 31
47.7%
13 26
40.0%
24 6
 
9.2%
15 2
 
3.1%

상세영업상태명
Categorical

Distinct4
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size652.0 B
폐업
31 
영업중
26 
직권폐업
6 
전출
 
2

Length

Max length4
Median length2
Mean length2.5846154
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 31
47.7%
영업중 26
40.0%
직권폐업 6
 
9.2%
전출 2
 
3.1%

Length

2024-04-06T20:29:52.720132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:29:52.897414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 31
47.7%
영업중 26
40.0%
직권폐업 6
 
9.2%
전출 2
 
3.1%

폐업일자
Date

MISSING 

Distinct33
Distinct (%)89.2%
Missing28
Missing (%)43.1%
Memory size652.0 B
Minimum2009-07-10 00:00:00
Maximum2024-03-13 00:00:00
2024-04-06T20:29:53.066512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T20:29:53.266449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing65
Missing (%)100.0%
Memory size717.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing65
Missing (%)100.0%
Memory size717.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing65
Missing (%)100.0%
Memory size717.0 B

전화번호
Text

MISSING 

Distinct44
Distinct (%)91.7%
Missing17
Missing (%)26.2%
Memory size652.0 B
2024-04-06T20:29:53.601125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length11.229167
Min length8

Characters and Unicode

Total characters539
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

Unique41 ?
Unique (%)85.4%

Sample

1st row02-336-5992
2nd row02-374-2221
3rd row02-376-0271
4th row02-373-1528
5th row02-372-2960
ValueCountFrequency (%)
02-324-1027 3
 
6.2%
02-3145-3694 2
 
4.2%
02-336-5992 2
 
4.2%
02-322-0937 1
 
2.1%
02-3448-1120 1
 
2.1%
02-374-2221 1
 
2.1%
02-302-2732 1
 
2.1%
02-326-3616 1
 
2.1%
070-7582-9111 1
 
2.1%
02-303-8274 1
 
2.1%
Other values (34) 34
70.8%
2024-04-06T20:29:54.173390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 91
16.9%
0 90
16.7%
2 77
14.3%
3 67
12.4%
7 47
8.7%
1 41
7.6%
4 31
 
5.8%
6 30
 
5.6%
9 29
 
5.4%
8 20
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 448
83.1%
Dash Punctuation 91
 
16.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 90
20.1%
2 77
17.2%
3 67
15.0%
7 47
10.5%
1 41
9.2%
4 31
 
6.9%
6 30
 
6.7%
9 29
 
6.5%
8 20
 
4.5%
5 16
 
3.6%
Dash Punctuation
ValueCountFrequency (%)
- 91
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 539
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 91
16.9%
0 90
16.7%
2 77
14.3%
3 67
12.4%
7 47
8.7%
1 41
7.6%
4 31
 
5.8%
6 30
 
5.6%
9 29
 
5.4%
8 20
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 539
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 91
16.9%
0 90
16.7%
2 77
14.3%
3 67
12.4%
7 47
8.7%
1 41
7.6%
4 31
 
5.8%
6 30
 
5.6%
9 29
 
5.4%
8 20
 
3.7%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing65
Missing (%)100.0%
Memory size717.0 B

소재지우편번호
Text

MISSING 

Distinct15
Distinct (%)68.2%
Missing43
Missing (%)66.2%
Memory size652.0 B
2024-04-06T20:29:54.408883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.1363636
Min length6

Characters and Unicode

Total characters135
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

Unique9 ?
Unique (%)40.9%

Sample

1st row120110
2nd row120806
3rd row120131
4th row120812
5th row120-121
ValueCountFrequency (%)
120825 3
13.6%
120110 2
 
9.1%
120131 2
 
9.1%
120122 2
 
9.1%
120816 2
 
9.1%
120013 2
 
9.1%
120806 1
 
4.5%
120812 1
 
4.5%
120-121 1
 
4.5%
120861 1
 
4.5%
Other values (5) 5
22.7%
2024-04-06T20:29:54.946204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 43
31.9%
2 32
23.7%
0 29
21.5%
8 10
 
7.4%
3 7
 
5.2%
6 5
 
3.7%
5 3
 
2.2%
- 3
 
2.2%
7 1
 
0.7%
4 1
 
0.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 132
97.8%
Dash Punctuation 3
 
2.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 43
32.6%
2 32
24.2%
0 29
22.0%
8 10
 
7.6%
3 7
 
5.3%
6 5
 
3.8%
5 3
 
2.3%
7 1
 
0.8%
4 1
 
0.8%
9 1
 
0.8%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 135
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 43
31.9%
2 32
23.7%
0 29
21.5%
8 10
 
7.4%
3 7
 
5.2%
6 5
 
3.7%
5 3
 
2.2%
- 3
 
2.2%
7 1
 
0.7%
4 1
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 135
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 43
31.9%
2 32
23.7%
0 29
21.5%
8 10
 
7.4%
3 7
 
5.2%
6 5
 
3.7%
5 3
 
2.2%
- 3
 
2.2%
7 1
 
0.7%
4 1
 
0.7%

지번주소
Text

MISSING 

Distinct61
Distinct (%)95.3%
Missing1
Missing (%)1.5%
Memory size652.0 B
2024-04-06T20:29:55.477899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length32.5
Mean length25.546875
Min length18

Characters and Unicode

Total characters1635
Distinct characters106
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

Unique58 ?
Unique (%)90.6%

Sample

1st row서울특별시 서대문구 연희동 193번지 7호
2nd row서울특별시 서대문구 남가좌동 329번지 35호
3rd row서울특별시 서대문구 북가좌동 82-5
4th row서울특별시 서대문구 북가좌1동 391번지 8호
5th row서울특별시 서대문구 북가좌동 290번지 8호
ValueCountFrequency (%)
서울특별시 64
19.6%
서대문구 64
19.6%
연희동 16
 
4.9%
홍제동 11
 
3.4%
북가좌동 10
 
3.1%
홍은동 5
 
1.5%
1호 4
 
1.2%
창천동 4
 
1.2%
4호 4
 
1.2%
남가좌동 4
 
1.2%
Other values (114) 140
42.9%
2024-04-06T20:29:56.355250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
264
 
16.1%
서 128
 
7.8%
대 69
 
4.2%
구 64
 
3.9%
문 64
 
3.9%
울 64
 
3.9%
시 64
 
3.9%
별 64
 
3.9%
특 64
 
3.9%
동 60
 
3.7%
Other values (96) 730
44.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1034
63.2%
Decimal Number 308
 
18.8%
Space Separator 264
 
16.1%
Dash Punctuation 28
 
1.7%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 128
 
12.4%
대 69
 
6.7%
구 64
 
6.2%
문 64
 
6.2%
울 64
 
6.2%
시 64
 
6.2%
별 64
 
6.2%
특 64
 
6.2%
동 60
 
5.8%
호 37
 
3.6%
Other values (83) 356
34.4%
Decimal Number
ValueCountFrequency (%)
1 59
19.2%
3 59
19.2%
2 46
14.9%
4 25
8.1%
5 23
 
7.5%
0 23
 
7.5%
8 23
 
7.5%
9 22
 
7.1%
7 15
 
4.9%
6 13
 
4.2%
Space Separator
ValueCountFrequency (%)
264
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 28
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1034
63.2%
Common 600
36.7%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 128
 
12.4%
대 69
 
6.7%
구 64
 
6.2%
문 64
 
6.2%
울 64
 
6.2%
시 64
 
6.2%
별 64
 
6.2%
특 64
 
6.2%
동 60
 
5.8%
호 37
 
3.6%
Other values (83) 356
34.4%
Common
ValueCountFrequency (%)
264
44.0%
1 59
 
9.8%
3 59
 
9.8%
2 46
 
7.7%
- 28
 
4.7%
4 25
 
4.2%
5 23
 
3.8%
0 23
 
3.8%
8 23
 
3.8%
9 22
 
3.7%
Other values (2) 28
 
4.7%
Latin
ValueCountFrequency (%)
A 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1034
63.2%
ASCII 601
36.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
264
43.9%
1 59
 
9.8%
3 59
 
9.8%
2 46
 
7.7%
- 28
 
4.7%
4 25
 
4.2%
5 23
 
3.8%
0 23
 
3.8%
8 23
 
3.8%
9 22
 
3.7%
Other values (3) 29
 
4.8%
Hangul
ValueCountFrequency (%)
서 128
 
12.4%
대 69
 
6.7%
구 64
 
6.2%
문 64
 
6.2%
울 64
 
6.2%
시 64
 
6.2%
별 64
 
6.2%
특 64
 
6.2%
동 60
 
5.8%
호 37
 
3.6%
Other values (83) 356
34.4%

도로명주소
Text

MISSING 

Distinct62
Distinct (%)98.4%
Missing2
Missing (%)3.1%
Memory size652.0 B
2024-04-06T20:29:56.863227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length42
Mean length33.507937
Min length24

Characters and Unicode

Total characters2111
Distinct characters132
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

Unique61 ?
Unique (%)96.8%

Sample

1st row서울특별시 서대문구 연희로 77-12 (연희동)
2nd row서울특별시 서대문구 모래내로 241 (남가좌동)
3rd row서울특별시 서대문구 거북골로14길 97, 1층 (북가좌동)
4th row서울특별시 서대문구 증가로21길 16 (북가좌동)
5th row서울특별시 서대문구 홍제천로2길 41, 12호 (연희동)
ValueCountFrequency (%)
서울특별시 63
 
15.7%
서대문구 63
 
15.7%
연희동 16
 
4.0%
2층 15
 
3.7%
북가좌동 12
 
3.0%
홍제동 11
 
2.7%
1층 9
 
2.2%
홍은동 6
 
1.5%
남가좌동 5
 
1.2%
연희로 5
 
1.2%
Other values (141) 197
49.0%
2024-04-06T20:29:57.629684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
339
 
16.1%
서 127
 
6.0%
대 74
 
3.5%
1 72
 
3.4%
2 66
 
3.1%
문 66
 
3.1%
) 63
 
3.0%
울 63
 
3.0%
( 63
 
3.0%
구 63
 
3.0%
Other values (122) 1115
52.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1260
59.7%
Space Separator 339
 
16.1%
Decimal Number 308
 
14.6%
Close Punctuation 63
 
3.0%
Open Punctuation 63
 
3.0%
Other Punctuation 59
 
2.8%
Dash Punctuation 15
 
0.7%
Uppercase Letter 4
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 127
 
10.1%
대 74
 
5.9%
문 66
 
5.2%
울 63
 
5.0%
구 63
 
5.0%
특 63
 
5.0%
별 63
 
5.0%
시 63
 
5.0%
동 62
 
4.9%
로 61
 
4.8%
Other values (105) 555
44.0%
Decimal Number
ValueCountFrequency (%)
1 72
23.4%
2 66
21.4%
0 31
10.1%
3 29
9.4%
7 28
 
9.1%
6 24
 
7.8%
5 20
 
6.5%
4 17
 
5.5%
8 15
 
4.9%
9 6
 
1.9%
Uppercase Letter
ValueCountFrequency (%)
A 3
75.0%
C 1
 
25.0%
Space Separator
ValueCountFrequency (%)
339
100.0%
Close Punctuation
ValueCountFrequency (%)
) 63
100.0%
Open Punctuation
ValueCountFrequency (%)
( 63
100.0%
Other Punctuation
ValueCountFrequency (%)
, 59
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1260
59.7%
Common 847
40.1%
Latin 4
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 127
 
10.1%
대 74
 
5.9%
문 66
 
5.2%
울 63
 
5.0%
구 63
 
5.0%
특 63
 
5.0%
별 63
 
5.0%
시 63
 
5.0%
동 62
 
4.9%
로 61
 
4.8%
Other values (105) 555
44.0%
Common
ValueCountFrequency (%)
339
40.0%
1 72
 
8.5%
2 66
 
7.8%
) 63
 
7.4%
( 63
 
7.4%
, 59
 
7.0%
0 31
 
3.7%
3 29
 
3.4%
7 28
 
3.3%
6 24
 
2.8%
Other values (5) 73
 
8.6%
Latin
ValueCountFrequency (%)
A 3
75.0%
C 1
 
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1260
59.7%
ASCII 851
40.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
339
39.8%
1 72
 
8.5%
2 66
 
7.8%
) 63
 
7.4%
( 63
 
7.4%
, 59
 
6.9%
0 31
 
3.6%
3 29
 
3.4%
7 28
 
3.3%
6 24
 
2.8%
Other values (7) 77
 
9.0%
Hangul
ValueCountFrequency (%)
서 127
 
10.1%
대 74
 
5.9%
문 66
 
5.2%
울 63
 
5.0%
구 63
 
5.0%
특 63
 
5.0%
별 63
 
5.0%
시 63
 
5.0%
동 62
 
4.9%
로 61
 
4.8%
Other values (105) 555
44.0%

도로명우편번호
Text

MISSING 

Distinct42
Distinct (%)66.7%
Missing2
Missing (%)3.1%
Memory size652.0 B
2024-04-06T20:29:57.986502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.1428571
Min length5

Characters and Unicode

Total characters324
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

Unique26 ?
Unique (%)41.3%

Sample

1st row03708
2nd row03693
3rd row03683
4th row03685
5th row03705
ValueCountFrequency (%)
03708 3
 
4.8%
03715 3
 
4.8%
03701 3
 
4.8%
03662 3
 
4.8%
03730 3
 
4.8%
03693 2
 
3.2%
03705 2
 
3.2%
120825 2
 
3.2%
03789 2
 
3.2%
03745 2
 
3.2%
Other values (32) 38
60.3%
2024-04-06T20:29:58.710776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 80
24.7%
3 73
22.5%
7 36
11.1%
6 33
10.2%
1 26
 
8.0%
2 25
 
7.7%
8 18
 
5.6%
5 16
 
4.9%
9 9
 
2.8%
4 7
 
2.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 323
99.7%
Dash Punctuation 1
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 80
24.8%
3 73
22.6%
7 36
11.1%
6 33
10.2%
1 26
 
8.0%
2 25
 
7.7%
8 18
 
5.6%
5 16
 
5.0%
9 9
 
2.8%
4 7
 
2.2%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 324
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 80
24.7%
3 73
22.5%
7 36
11.1%
6 33
10.2%
1 26
 
8.0%
2 25
 
7.7%
8 18
 
5.6%
5 16
 
4.9%
9 9
 
2.8%
4 7
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 324
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 80
24.7%
3 73
22.5%
7 36
11.1%
6 33
10.2%
1 26
 
8.0%
2 25
 
7.7%
8 18
 
5.6%
5 16
 
4.9%
9 9
 
2.8%
4 7
 
2.2%

사업장명
Text

Distinct63
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Memory size652.0 B
2024-04-06T20:29:59.122067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length11
Mean length8.0153846
Min length2

Characters and Unicode

Total characters521
Distinct characters162
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

Unique61 ?
Unique (%)93.8%

Sample

1st row삼성종합관리(클린존)
2nd row서부환경
3rd row기산종합환경
4th row그린환경
5th row(주)서울환경산업
ValueCountFrequency (%)
주식회사 6
 
7.7%
서대문지역자활센터 3
 
3.8%
협동조합 2
 
2.6%
그린f5 2
 
2.6%
서대문본부 2
 
2.6%
삼성종합관리(클린존 2
 
2.6%
nk크린환경 1
 
1.3%
주)더큐브에스 1
 
1.3%
kb국민방역 1
 
1.3%
정호환경앤클린 1
 
1.3%
Other values (57) 57
73.1%
2024-04-06T20:30:00.086961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 31
 
6.0%
( 24
 
4.6%
) 24
 
4.6%
린 14
 
2.7%
스 14
 
2.7%
13
 
2.5%
경 12
 
2.3%
환 11
 
2.1%
사 11
 
2.1%
회 11
 
2.1%
Other values (152) 356
68.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 442
84.8%
Open Punctuation 24
 
4.6%
Close Punctuation 24
 
4.6%
Uppercase Letter 15
 
2.9%
Space Separator 13
 
2.5%
Decimal Number 2
 
0.4%
Lowercase Letter 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 31
 
7.0%
린 14
 
3.2%
스 14
 
3.2%
경 12
 
2.7%
환 11
 
2.5%
사 11
 
2.5%
회 11
 
2.5%
에 10
 
2.3%
합 10
 
2.3%
식 10
 
2.3%
Other values (134) 308
69.7%
Uppercase Letter
ValueCountFrequency (%)
B 2
13.3%
K 2
13.3%
I 1
 
6.7%
L 1
 
6.7%
M 1
 
6.7%
E 1
 
6.7%
F 1
 
6.7%
N 1
 
6.7%
O 1
 
6.7%
C 1
 
6.7%
Other values (3) 3
20.0%
Open Punctuation
ValueCountFrequency (%)
( 24
100.0%
Close Punctuation
ValueCountFrequency (%)
) 24
100.0%
Space Separator
ValueCountFrequency (%)
13
100.0%
Decimal Number
ValueCountFrequency (%)
5 2
100.0%
Lowercase Letter
ValueCountFrequency (%)
f 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 442
84.8%
Common 63
 
12.1%
Latin 16
 
3.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 31
 
7.0%
린 14
 
3.2%
스 14
 
3.2%
경 12
 
2.7%
환 11
 
2.5%
사 11
 
2.5%
회 11
 
2.5%
에 10
 
2.3%
합 10
 
2.3%
식 10
 
2.3%
Other values (134) 308
69.7%
Latin
ValueCountFrequency (%)
B 2
12.5%
K 2
12.5%
I 1
 
6.2%
L 1
 
6.2%
M 1
 
6.2%
E 1
 
6.2%
F 1
 
6.2%
N 1
 
6.2%
f 1
 
6.2%
O 1
 
6.2%
Other values (4) 4
25.0%
Common
ValueCountFrequency (%)
( 24
38.1%
) 24
38.1%
13
20.6%
5 2
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 442
84.8%
ASCII 79
 
15.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 31
 
7.0%
린 14
 
3.2%
스 14
 
3.2%
경 12
 
2.7%
환 11
 
2.5%
사 11
 
2.5%
회 11
 
2.5%
에 10
 
2.3%
합 10
 
2.3%
식 10
 
2.3%
Other values (134) 308
69.7%
ASCII
ValueCountFrequency (%)
( 24
30.4%
) 24
30.4%
13
16.5%
5 2
 
2.5%
B 2
 
2.5%
K 2
 
2.5%
I 1
 
1.3%
L 1
 
1.3%
M 1
 
1.3%
E 1
 
1.3%
Other values (8) 8
 
10.1%

최종수정일자
Date

UNIQUE 

Distinct65
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size652.0 B
Minimum2015-07-31 16:18:22
Maximum2024-03-20 16:58:22
2024-04-06T20:30:00.348019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T20:30:00.602736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size652.0 B
U
57 
I
8 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 57
87.7%
I 8
 
12.3%

Length

2024-04-06T20:30:00.803442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:30:00.966103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 57
87.7%
i 8
 
12.3%

데이터갱신일자
Date

Distinct42
Distinct (%)64.6%
Missing0
Missing (%)0.0%
Memory size652.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-02 23:05:00
2024-04-06T20:30:01.159345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T20:30:01.428897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing65
Missing (%)100.0%
Memory size717.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct53
Distinct (%)82.8%
Missing1
Missing (%)1.5%
Infinite0
Infinite (%)0.0%
Mean194045.13
Minimum191543.28
Maximum196824.07
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size717.0 B
2024-04-06T20:30:01.711323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum191543.28
5-th percentile191590.56
Q1193047.93
median193757.95
Q3195332.13
95-th percentile196742.88
Maximum196824.07
Range5280.7927
Interquartile range (IQR)2284.1977

Descriptive statistics

Standard deviation1552.1132
Coefficient of variation (CV)0.0079987225
Kurtosis-0.82745101
Mean194045.13
Median Absolute Deviation (MAD)1198.0658
Skewness0.2403295
Sum12418889
Variance2409055.3
MonotonicityNot monotonic
2024-04-06T20:30:01.964913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
193672.286456786 3
 
4.6%
193423.550017619 3
 
4.6%
193468.958475416 2
 
3.1%
195477.913016234 2
 
3.1%
194265.067639805 2
 
3.1%
191778.716247587 2
 
3.1%
191557.35422121 2
 
3.1%
191543.28 2
 
3.1%
193823.087716093 2
 
3.1%
196463.754141484 1
 
1.5%
Other values (43) 43
66.2%
ValueCountFrequency (%)
191543.28 2
3.1%
191557.35422121 2
3.1%
191778.716247587 2
3.1%
191891.238317653 1
1.5%
192051.739738747 1
1.5%
192227.127001087 1
1.5%
192229.490081831 1
1.5%
192285.636936533 1
1.5%
192390.546360541 1
1.5%
192480.825508167 1
1.5%
ValueCountFrequency (%)
196824.072701729 1
1.5%
196806.237792473 1
1.5%
196801.661639204 1
1.5%
196746.77643876 1
1.5%
196720.819185383 1
1.5%
196626.844541919 1
1.5%
196606.081100709 1
1.5%
196463.754141484 1
1.5%
196397.574633596 1
1.5%
195723.539073553 1
1.5%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct53
Distinct (%)82.8%
Missing1
Missing (%)1.5%
Infinite0
Infinite (%)0.0%
Mean452550.05
Minimum450433.69
Maximum455287.28
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size717.0 B
2024-04-06T20:30:02.237053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum450433.69
5-th percentile450719.39
Q1451705.85
median452641.61
Q3453212.75
95-th percentile453929.33
Maximum455287.28
Range4853.5898
Interquartile range (IQR)1506.8983

Descriptive statistics

Standard deviation1084.2521
Coefficient of variation (CV)0.0023958722
Kurtosis-0.036868504
Mean452550.05
Median Absolute Deviation (MAD)736.64703
Skewness0.10633763
Sum28963203
Variance1175602.6
MonotonicityNot monotonic
2024-04-06T20:30:02.608286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
451473.301783385 3
 
4.6%
452263.136505739 3
 
4.6%
453132.328456912 2
 
3.1%
453929.325030582 2
 
3.1%
450433.691021245 2
 
3.1%
453163.702487936 2
 
3.1%
452756.894731199 2
 
3.1%
452508.37 2
 
3.1%
451944.584267375 2
 
3.1%
451743.712352018 1
 
1.5%
Other values (43) 43
66.2%
ValueCountFrequency (%)
450433.691021245 2
3.1%
450637.010875398 1
1.5%
450689.162539943 1
1.5%
450890.664072337 1
1.5%
450926.293397092 1
1.5%
451223.301428288 1
1.5%
451267.809661546 1
1.5%
451281.610054871 1
1.5%
451307.898064266 1
1.5%
451381.585492051 1
1.5%
ValueCountFrequency (%)
455287.28084434 1
1.5%
455184.587598267 1
1.5%
454754.899472127 1
1.5%
453929.325030582 2
3.1%
453852.542096653 1
1.5%
453728.173624151 1
1.5%
453573.399432208 1
1.5%
453504.344165549 1
1.5%
453475.988354618 1
1.5%
453461.468111874 1
1.5%

사무실면적
Real number (ℝ)

MISSING 

Distinct29
Distinct (%)100.0%
Missing36
Missing (%)55.4%
Infinite0
Infinite (%)0.0%
Mean25.697241
Minimum3.58
Maximum92.95
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size717.0 B
2024-04-06T20:30:02.864333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.58
5-th percentile5.756
Q116.94
median20.37
Q326.53
95-th percentile51.984
Maximum92.95
Range89.37
Interquartile range (IQR)9.59

Descriptive statistics

Standard deviation18.106845
Coefficient of variation (CV)0.70462214
Kurtosis5.9463774
Mean25.697241
Median Absolute Deviation (MAD)4.57
Skewness2.1123185
Sum745.22
Variance327.85784
MonotonicityNot monotonic
2024-04-06T20:30:03.167166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
92.95 1
 
1.5%
24.0 1
 
1.5%
20.0 1
 
1.5%
6.29 1
 
1.5%
3.58 1
 
1.5%
51.96 1
 
1.5%
20.37 1
 
1.5%
14.25 1
 
1.5%
10.24 1
 
1.5%
20.14 1
 
1.5%
Other values (19) 19
29.2%
(Missing) 36
55.4%
ValueCountFrequency (%)
3.58 1
1.5%
5.4 1
1.5%
6.29 1
1.5%
10.24 1
1.5%
14.25 1
1.5%
15.99 1
1.5%
16.92 1
1.5%
16.94 1
1.5%
17.64 1
1.5%
17.68 1
1.5%
ValueCountFrequency (%)
92.95 1
1.5%
52.0 1
1.5%
51.96 1
1.5%
49.16 1
1.5%
46.86 1
1.5%
31.63 1
1.5%
27.45 1
1.5%
26.53 1
1.5%
26.18 1
1.5%
24.94 1
1.5%

소독차량차고면적
Real number (ℝ)

MISSING 

Distinct29
Distinct (%)100.0%
Missing36
Missing (%)55.4%
Infinite0
Infinite (%)0.0%
Mean14.227586
Minimum1.08
Maximum38.92
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size717.0 B
2024-04-06T20:30:03.568068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.08
5-th percentile3.168
Q18.31
median11.47
Q316.64
95-th percentile33.528
Maximum38.92
Range37.84
Interquartile range (IQR)8.33

Descriptive statistics

Standard deviation9.6664677
Coefficient of variation (CV)0.67941726
Kurtosis0.70266687
Mean14.227586
Median Absolute Deviation (MAD)5.03
Skewness1.1179048
Sum412.6
Variance93.440598
MonotonicityNot monotonic
2024-04-06T20:30:03.884846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
6.0 1
 
1.5%
10.0 1
 
1.5%
14.0 1
 
1.5%
8.31 1
 
1.5%
3.0 1
 
1.5%
33.88 1
 
1.5%
1.08 1
 
1.5%
3.42 1
 
1.5%
10.24 1
 
1.5%
11.4 1
 
1.5%
Other values (19) 19
29.2%
(Missing) 36
55.4%
ValueCountFrequency (%)
1.08 1
1.5%
3.0 1
1.5%
3.42 1
1.5%
3.84 1
1.5%
6.0 1
1.5%
6.28 1
1.5%
7.1 1
1.5%
8.31 1
1.5%
9.52 1
1.5%
9.86 1
1.5%
ValueCountFrequency (%)
38.92 1
1.5%
33.88 1
1.5%
33.0 1
1.5%
28.38 1
1.5%
27.19 1
1.5%
19.44 1
1.5%
16.82 1
1.5%
16.64 1
1.5%
16.5 1
1.5%
15.6 1
1.5%

초미립자살포기수
Categorical

Distinct4
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size652.0 B
<NA>
34 
1
29 
2
 
1
4
 
1

Length

Max length4
Median length4
Mean length2.5692308
Min length1

Unique

Unique2 ?
Unique (%)3.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 34
52.3%
1 29
44.6%
2 1
 
1.5%
4 1
 
1.5%

Length

2024-04-06T20:30:04.131339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:30:04.338749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 34
52.3%
1 29
44.6%
2 1
 
1.5%
4 1
 
1.5%

휴대용소독기수
Categorical

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size652.0 B
<NA>
34 
2
31 

Length

Max length4
Median length4
Mean length2.5692308
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 34
52.3%
2 31
47.7%

Length

2024-04-06T20:30:04.564719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:30:05.114060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 34
52.3%
2 31
47.7%

동력분무기수
Categorical

Distinct3
Distinct (%)4.6%
Missing0
Missing (%)0.0%
Memory size652.0 B
<NA>
34 
1
21 
0
10 

Length

Max length4
Median length4
Mean length2.5692308
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 34
52.3%
1 21
32.3%
0 10
 
15.4%

Length

2024-04-06T20:30:05.310563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:30:05.484023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 34
52.3%
1 21
32.3%
0 10
 
15.4%

수동식분무기수
Categorical

Distinct4
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size652.0 B
<NA>
34 
5
21 
3
9 
4
 
1

Length

Max length4
Median length4
Mean length2.5692308
Min length1

Unique

Unique1 ?
Unique (%)1.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 34
52.3%
5 21
32.3%
3 9
 
13.8%
4 1
 
1.5%

Length

2024-04-06T20:30:05.759000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:30:05.972128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 34
52.3%
5 21
32.3%
3 9
 
13.8%
4 1
 
1.5%

방독면수
Categorical

Distinct3
Distinct (%)4.6%
Missing0
Missing (%)0.0%
Memory size652.0 B
<NA>
34 
5
30 
10
 
1

Length

Max length4
Median length4
Mean length2.5846154
Min length1

Unique

Unique1 ?
Unique (%)1.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 34
52.3%
5 30
46.2%
10 1
 
1.5%

Length

2024-04-06T20:30:06.203656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:30:06.393560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 34
52.3%
5 30
46.2%
10 1
 
1.5%

보호안경수
Categorical

Distinct5
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size652.0 B
<NA>
34 
5
28 
10
 
1
22
 
1
20
 
1

Length

Max length4
Median length4
Mean length2.6153846
Min length1

Unique

Unique3 ?
Unique (%)4.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 34
52.3%
5 28
43.1%
10 1
 
1.5%
22 1
 
1.5%
20 1
 
1.5%

Length

2024-04-06T20:30:06.598887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:30:06.788322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 34
52.3%
5 28
43.1%
10 1
 
1.5%
22 1
 
1.5%
20 1
 
1.5%

보호용의복수
Categorical

Distinct5
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size652.0 B
<NA>
34 
5
28 
10
 
1
31
 
1
20
 
1

Length

Max length4
Median length4
Mean length2.6153846
Min length1

Unique

Unique3 ?
Unique (%)4.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 34
52.3%
5 28
43.1%
10 1
 
1.5%
31 1
 
1.5%
20 1
 
1.5%

Length

2024-04-06T20:30:07.008644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:30:07.223253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 34
52.3%
5 28
43.1%
10 1
 
1.5%
31 1
 
1.5%
20 1
 
1.5%

진공청소기수
Categorical

Distinct3
Distinct (%)4.6%
Missing0
Missing (%)0.0%
Memory size652.0 B
<NA>
34 
1
30 
2
 
1

Length

Max length4
Median length4
Mean length2.5692308
Min length1

Unique

Unique1 ?
Unique (%)1.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 34
52.3%
1 30
46.2%
2 1
 
1.5%

Length

2024-04-06T20:30:07.530260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:30:07.715619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 34
52.3%
1 30
46.2%
2 1
 
1.5%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)사무실면적소독차량차고면적초미립자살포기수휴대용소독기수동력분무기수수동식분무기수방독면수보호안경수보호용의복수진공청소기수
03120000PHMB51990312003304250000119901224<NA>3폐업3폐업20220217<NA><NA><NA>02-336-5992<NA>120110서울특별시 서대문구 연희동 193번지 7호서울특별시 서대문구 연희로 77-12 (연희동)03708삼성종합관리(클린존)2022-02-21 14:56:35U2022-02-23 02:40:00.0<NA>193672.286457451473.30178315.9915.612155551
13120000PHMB51993312003304250000119930714<NA>1영업/정상13영업중<NA><NA><NA><NA>02-374-2221<NA>120806서울특별시 서대문구 남가좌동 329번지 35호서울특별시 서대문구 모래내로 241 (남가좌동)03693서부환경2020-10-23 17:47:29U2020-10-25 02:40:00.0<NA>193335.722477452590.60543992.956.012155551
23120000PHMB5199431200330425000011994-11-30<NA>1영업/정상13영업중<NA><NA><NA><NA>02-376-0271<NA><NA>서울특별시 서대문구 북가좌동 82-5서울특별시 서대문구 거북골로14길 97, 1층 (북가좌동)03683기산종합환경2023-07-26 17:03:41U2022-12-06 22:08:00.0<NA>192229.490082453002.479112<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33120000PHMB51995312003304250000119950206<NA>3폐업3폐업20090710<NA><NA><NA>02-373-1528<NA>120131서울특별시 서대문구 북가좌1동 391번지 8호<NA><NA>그린환경2020-10-23 17:31:36U2020-10-25 02:40:00.0<NA><NA><NA>23.3733.012155551
43120000PHMB51998312003304250000119980730<NA>3폐업3폐업20201201<NA><NA><NA>02-372-2960<NA>120812서울특별시 서대문구 북가좌동 290번지 8호서울특별시 서대문구 증가로21길 16 (북가좌동)03685(주)서울환경산업2020-12-02 14:51:47U2020-12-04 02:40:00.0<NA>192390.546361453108.12752922.1416.512155551
53120000PHMB51999312003304250000119991126<NA>4취소/말소/만료/정지/중지24직권폐업20140410<NA><NA><NA>02-333-8847<NA><NA>서울특별시 서대문구 연희동 533-12서울특별시 서대문구 홍제천로2길 41, 12호 (연희동)03705자원환경2020-10-23 17:34:12U2020-10-25 02:40:00.0<NA>192945.1764451974.83232317.689.5212155551
63120000PHMB52005312003304250000120050502<NA>3폐업3폐업20140717<NA><NA><NA>02-745-3888<NA><NA>서울특별시 서대문구 충정로2가 191 골든타워빌딩서울특별시 서대문구 충정로 53, 골든타워빌딩 (충정로2가)03736(주)한맥기업2020-10-23 17:35:40U2020-10-25 02:40:00.0<NA>196801.661639451267.80966224.9427.1912155551
73120000PHMB52005312003304250000220050518<NA>3폐업3폐업20120409<NA><NA><NA>02-337-6768<NA><NA>서울특별시 서대문구 연희동 150-5서울특별시 서대문구 연희로 207 (연희동)03696정다운세상2020-10-23 17:43:44U2020-10-25 02:40:00.0<NA>194194.420383452591.08898916.9416.6412155551
83120000PHMB5200731200330425000012007-07-16<NA>3폐업3폐업2023-02-22<NA><NA><NA>02-373-0112<NA>120-121서울특별시 서대문구 남가좌동 331번지 21호서울특별시 서대문구 모래내로 221 (남가좌동)03693한국종합경비시스템(주)2023-02-22 15:13:31U2022-12-01 22:04:00.0<NA>193189.811178452434.666595<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93120000PHMB52008312003304250000120080228<NA>3폐업3폐업20160205<NA><NA><NA>396-9511<NA>120861서울특별시 서대문구 홍제동 361번지 14호서울특별시 서대문구 홍제내길 76 (홍제동)03641(주)현대포인아트애드기획2020-10-23 16:56:48U2020-10-25 02:40:00.0<NA>194264.020486453728.1736245.47.112155551
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)사무실면적소독차량차고면적초미립자살포기수휴대용소독기수동력분무기수수동식분무기수방독면수보호안경수보호용의복수진공청소기수
553120000PHMB52022312003304250000220220221<NA>1영업/정상13영업중<NA><NA><NA><NA>02-336-5992<NA><NA>서울특별시 서대문구 연희동 193-7 영화빌딩서울특별시 서대문구 연희로 77-12, 영화빌딩 (연희동)03708삼성종합관리(클린존)2022-04-28 13:28:11U2021-12-03 21:00:00.0<NA>193672.286457451473.301783<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
563120000PHMB52022312003304250000320220405<NA>3폐업3폐업20220708<NA><NA><NA>02-324-1027<NA><NA>서울특별시 서대문구 연희동 188-47 자활사업단서울특별시 서대문구 연희로11마길 86-77, 자활사업단 (연희동)03701서대문지역자활센터2022-07-08 14:24:10U2021-12-06 23:02:00.0<NA>193423.550018452263.136506<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
573120000PHMB52022312003304250000420131001<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3448-1120<NA><NA>서울특별시 서대문구 홍제동 25-13서울특별시 서대문구 통일로 363, 3층 (홍제동)03730(주)더큐브에스2022-05-12 15:34:33I2021-12-04 23:04:00.0<NA>195498.982217453385.752294<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
583120000PHMB52022312003304250000520220708<NA>1영업/정상13영업중<NA><NA><NA><NA>02-324-1027<NA><NA>서울특별시 서대문구 연희동 188-47 자활사업단서울특별시 서대문구 연희로11마길 86-77, 자활사업단 (연희동)03701서대문지역자활센터2022-07-11 18:32:57I2021-12-06 23:03:00.0<NA>193423.550018452263.136506<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
593120000PHMB52022312003304250000620221011<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서대문구 홍제동 322-85서울특별시 서대문구 모래내로24다길 11, 1층 (홍제동)03728NK크린환경2022-10-12 11:42:03I2021-10-30 23:04:00.0<NA>194876.957146453390.708994<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
603120000PHMB52022312003304250000720221209<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서대문구 연희동 717-29 한인트윈빌서울특별시 서대문구 홍연길 77, 202호 C-46호 (연희동, 한인트윈빌)03695아트소마2022-12-14 14:31:49I2021-11-01 23:06:00.0<NA>193803.424182452723.457356<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
613120000PHMB5202331200330425000012023-01-17<NA>3폐업3폐업2023-09-21<NA><NA><NA>02-322-0937<NA><NA>서울특별시 서대문구 홍제동 361-197서울특별시 서대문구 홍제내길 20, 2층 (홍제동)03642주식회사동우코퍼레이션2023-09-21 15:02:28U2022-12-08 22:03:00.0<NA>194355.240639453475.988355<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
623120000PHMB5202331200330425000022023-01-19<NA>3폐업3폐업2024-01-17<NA><NA><NA><NA><NA><NA>서울특별시 서대문구 연희동 140-12 연희동 다세대주택서울특별시 서대문구 연희로28길 51-8, 1층 (연희동, 연희동 다세대주택)03720주식회사유토산업개발2024-01-17 16:12:32U2023-11-30 23:09:00.0<NA>194471.031235452559.763601<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
633120000PHMB5202331200330425000032023-04-07<NA>1영업/정상13영업중<NA><NA><NA><NA>02-396-0100<NA><NA>서울특별시 서대문구 홍제동 82 홍제한양아파트 상가동 303호서울특별시 서대문구 통일로25길 30, 홍제한양아파트상가동 303호 (홍제동, 홍제한양아파트)03730주식회사유엘네트웍스2023-04-14 14:31:22U2022-12-03 23:06:00.0<NA>195259.429273453430.811542<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
643120000PHMB5202331200330425000042023-12-29<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3145-3694<NA><NA>서울특별시 서대문구 창천동 30-33 현대백화점신촌점서울특별시 서대문구 신촌로 83, 현대백화점신촌점 지하5층 (창천동)03789주식회사 태영씨에치엠2023-12-29 16:44:38I2022-11-01 21:01:00.0<NA>194265.06764450433.691021<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>