Overview

Dataset statistics

Number of variables40
Number of observations55
Missing cells422
Missing cells (%)19.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory18.8 KiB
Average record size in memory349.4 B

Variable types

Categorical20
Text6
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),기공용레스수,원심주조기수,기공용모터수,아세틸렌수,치과용프레스수,전기로수,포셀린로수,초음파청소기수,서베이어수,진동기수,트리머수,기공용컴프레서수,샌드기수,진공매몰기수,핀덱스수
Author양천구
URLhttps://data.seoul.go.kr/dataList/OA-16468/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has 55 (100.0%) missing valuesMissing
폐업일자 has 31 (56.4%) missing valuesMissing
휴업시작일자 has 55 (100.0%) missing valuesMissing
휴업종료일자 has 55 (100.0%) missing valuesMissing
재개업일자 has 55 (100.0%) missing valuesMissing
전화번호 has 15 (27.3%) missing valuesMissing
소재지면적 has 55 (100.0%) missing valuesMissing
소재지우편번호 has 23 (41.8%) missing valuesMissing
도로명주소 has 4 (7.3%) missing valuesMissing
도로명우편번호 has 4 (7.3%) missing valuesMissing
업태구분명 has 55 (100.0%) missing valuesMissing
좌표정보(X) has 2 (3.6%) missing valuesMissing
좌표정보(Y) has 2 (3.6%) missing valuesMissing
기공용모터수 has 11 (20.0%) missing valuesMissing
관리번호 has unique valuesUnique
인허가일자 has unique valuesUnique
지번주소 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 started2024-05-11 03:54:55.031761
Analysis finished2024-05-11 03:54:56.323992
Duration1.29 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size572.0 B
3140000
55 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3140000
2nd row3140000
3rd row3140000
4th row3140000
5th row3140000

Common Values

ValueCountFrequency (%)
3140000 55
100.0%

Length

2024-05-11T03:54:56.673722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:54:57.088421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3140000 55
100.0%

관리번호
Text

UNIQUE 

Distinct55
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size572.0 B
2024-05-11T03:54:57.701747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters1375
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

Unique55 ?
Unique (%)100.0%

Sample

1st rowPHMB319913140033062300001
2nd rowPHMB319923140033062300001
3rd rowPHMB319953140033062300001
4th rowPHMB319973140033062300001
5th rowPHMB320013140033062300001
ValueCountFrequency (%)
phmb319913140033062300001 1
 
1.8%
phmb320113140033062300003 1
 
1.8%
phmb320113140033062300005 1
 
1.8%
phmb320123140033062300001 1
 
1.8%
phmb320123140033062300002 1
 
1.8%
phmb320133140033062300001 1
 
1.8%
phmb320133140033062300002 1
 
1.8%
phmb320143140033062300001 1
 
1.8%
phmb320143140033062300002 1
 
1.8%
phmb320143140033062300003 1
 
1.8%
Other values (45) 45
81.8%
2024-05-11T03:54:58.799492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 460
33.5%
3 291
21.2%
2 132
 
9.6%
1 113
 
8.2%
4 66
 
4.8%
6 62
 
4.5%
P 55
 
4.0%
H 55
 
4.0%
M 55
 
4.0%
B 55
 
4.0%
Other values (4) 31
 
2.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1155
84.0%
Uppercase Letter 220
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 460
39.8%
3 291
25.2%
2 132
 
11.4%
1 113
 
9.8%
4 66
 
5.7%
6 62
 
5.4%
9 9
 
0.8%
7 8
 
0.7%
8 8
 
0.7%
5 6
 
0.5%
Uppercase Letter
ValueCountFrequency (%)
P 55
25.0%
H 55
25.0%
M 55
25.0%
B 55
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1155
84.0%
Latin 220
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 460
39.8%
3 291
25.2%
2 132
 
11.4%
1 113
 
9.8%
4 66
 
5.7%
6 62
 
5.4%
9 9
 
0.8%
7 8
 
0.7%
8 8
 
0.7%
5 6
 
0.5%
Latin
ValueCountFrequency (%)
P 55
25.0%
H 55
25.0%
M 55
25.0%
B 55
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1375
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 460
33.5%
3 291
21.2%
2 132
 
9.6%
1 113
 
8.2%
4 66
 
4.8%
6 62
 
4.5%
P 55
 
4.0%
H 55
 
4.0%
M 55
 
4.0%
B 55
 
4.0%
Other values (4) 31
 
2.3%

인허가일자
Date

UNIQUE 

Distinct55
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size572.0 B
Minimum1981-05-14 00:00:00
Maximum2024-04-16 00:00:00
2024-05-11T03:54:59.317273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T03:54:59.821811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

영업상태코드
Categorical

Distinct3
Distinct (%)5.5%
Missing0
Missing (%)0.0%
Memory size572.0 B
1
27 
3
24 
5
4 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 27
49.1%
3 24
43.6%
5 4
 
7.3%

Length

2024-05-11T03:55:00.322366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:55:00.677591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 27
49.1%
3 24
43.6%
5 4
 
7.3%

영업상태명
Categorical

Distinct3
Distinct (%)5.5%
Missing0
Missing (%)0.0%
Memory size572.0 B
영업/정상
27 
폐업
24 
제외/삭제/전출
4 

Length

Max length8
Median length5
Mean length3.9090909
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 27
49.1%
폐업 24
43.6%
제외/삭제/전출 4
 
7.3%

Length

2024-05-11T03:55:01.063242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:55:01.443511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 27
49.1%
폐업 24
43.6%
제외/삭제/전출 4
 
7.3%

상세영업상태코드
Categorical

Distinct3
Distinct (%)5.5%
Missing0
Missing (%)0.0%
Memory size572.0 B
13
27 
3
24 
15
4 

Length

Max length2
Median length2
Mean length1.5636364
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 27
49.1%
3 24
43.6%
15 4
 
7.3%

Length

2024-05-11T03:55:01.815187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:55:02.233209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 27
49.1%
3 24
43.6%
15 4
 
7.3%

상세영업상태명
Categorical

Distinct3
Distinct (%)5.5%
Missing0
Missing (%)0.0%
Memory size572.0 B
영업중
27 
폐업
24 
전출
4 

Length

Max length3
Median length2
Mean length2.4909091
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 27
49.1%
폐업 24
43.6%
전출 4
 
7.3%

Length

2024-05-11T03:55:02.811317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:55:03.227465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 27
49.1%
폐업 24
43.6%
전출 4
 
7.3%

폐업일자
Date

MISSING 

Distinct24
Distinct (%)100.0%
Missing31
Missing (%)56.4%
Memory size572.0 B
Minimum2009-06-19 00:00:00
Maximum2023-09-05 00:00:00
2024-05-11T03:55:03.645503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T03:55:04.309628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

전화번호
Text

MISSING 

Distinct39
Distinct (%)97.5%
Missing15
Missing (%)27.3%
Memory size572.0 B
2024-05-11T03:55:04.828571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length9
Mean length9.925
Min length8

Characters and Unicode

Total characters397
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

Unique38 ?
Unique (%)95.0%

Sample

1st row2068-2877
2nd row2604-3332
3rd row2642-0171
4th row02-2603-5407
5th row2645-2804
ValueCountFrequency (%)
02-2647-2807 2
 
5.0%
2663-7777 1
 
2.5%
2068-2877 1
 
2.5%
02-2694-2818 1
 
2.5%
2652-3306 1
 
2.5%
2605-6065 1
 
2.5%
2661-9579 1
 
2.5%
6200-8870 1
 
2.5%
2664-2849 1
 
2.5%
02-2646-2804 1
 
2.5%
Other values (29) 29
72.5%
2024-05-11T03:55:05.809826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 81
20.4%
6 53
13.4%
- 52
13.1%
0 45
11.3%
8 34
8.6%
4 33
8.3%
7 31
 
7.8%
9 20
 
5.0%
5 20
 
5.0%
3 17
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 345
86.9%
Dash Punctuation 52
 
13.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 81
23.5%
6 53
15.4%
0 45
13.0%
8 34
9.9%
4 33
9.6%
7 31
 
9.0%
9 20
 
5.8%
5 20
 
5.8%
3 17
 
4.9%
1 11
 
3.2%
Dash Punctuation
ValueCountFrequency (%)
- 52
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 397
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 81
20.4%
6 53
13.4%
- 52
13.1%
0 45
11.3%
8 34
8.6%
4 33
8.3%
7 31
 
7.8%
9 20
 
5.0%
5 20
 
5.0%
3 17
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 397
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 81
20.4%
6 53
13.4%
- 52
13.1%
0 45
11.3%
8 34
8.6%
4 33
8.3%
7 31
 
7.8%
9 20
 
5.0%
5 20
 
5.0%
3 17
 
4.3%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

소재지우편번호
Text

MISSING 

Distinct20
Distinct (%)62.5%
Missing23
Missing (%)41.8%
Memory size572.0 B
2024-05-11T03:55:06.258325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.03125
Min length6

Characters and Unicode

Total characters193
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

Unique15 ?
Unique (%)46.9%

Sample

1st row158781
2nd row158827
3rd row158818
4th row158849
5th row158071
ValueCountFrequency (%)
158861 6
18.8%
158074 4
 
12.5%
158849 3
 
9.4%
158071 2
 
6.2%
158052 2
 
6.2%
158857 1
 
3.1%
158781 1
 
3.1%
158810 1
 
3.1%
158831 1
 
3.1%
158841 1
 
3.1%
Other values (10) 10
31.2%
2024-05-11T03:55:07.258418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8 56
29.0%
1 48
24.9%
5 36
18.7%
7 13
 
6.7%
0 10
 
5.2%
4 9
 
4.7%
6 8
 
4.1%
9 4
 
2.1%
2 4
 
2.1%
3 4
 
2.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 192
99.5%
Dash Punctuation 1
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
8 56
29.2%
1 48
25.0%
5 36
18.8%
7 13
 
6.8%
0 10
 
5.2%
4 9
 
4.7%
6 8
 
4.2%
9 4
 
2.1%
2 4
 
2.1%
3 4
 
2.1%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 193
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
8 56
29.0%
1 48
24.9%
5 36
18.7%
7 13
 
6.7%
0 10
 
5.2%
4 9
 
4.7%
6 8
 
4.1%
9 4
 
2.1%
2 4
 
2.1%
3 4
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 193
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8 56
29.0%
1 48
24.9%
5 36
18.7%
7 13
 
6.7%
0 10
 
5.2%
4 9
 
4.7%
6 8
 
4.1%
9 4
 
2.1%
2 4
 
2.1%
3 4
 
2.1%

지번주소
Text

UNIQUE 

Distinct55
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size572.0 B
2024-05-11T03:55:08.421790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length34
Mean length26.672727
Min length19

Characters and Unicode

Total characters1467
Distinct characters60
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique55 ?
Unique (%)100.0%

Sample

1st row서울특별시 양천구 신월동 987번지 1호 시영아파트상가 307호
2nd row서울특별시 양천구 신월1동 116번지 36호 지하
3rd row서울특별시 양천구 목4동 775번지 31호 2층
4th row서울특별시 양천구 신정동 928-9 402호
5th row서울특별시 양천구 신정2동 89번지 1호 2층
ValueCountFrequency (%)
서울특별시 55
 
17.1%
양천구 55
 
17.1%
신정동 18
 
5.6%
2층 12
 
3.7%
3층 9
 
2.8%
목동 7
 
2.2%
신월동 6
 
1.9%
신정1동 6
 
1.9%
6호 6
 
1.9%
신정4동 5
 
1.6%
Other values (98) 143
44.4%
2024-05-11T03:55:10.082144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
267
 
18.2%
2 67
 
4.6%
1 67
 
4.6%
호 59
 
4.0%
동 58
 
4.0%
양 58
 
4.0%
구 56
 
3.8%
시 56
 
3.8%
울 55
 
3.7%
서 55
 
3.7%
Other values (50) 669
45.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 840
57.3%
Decimal Number 351
23.9%
Space Separator 267
 
18.2%
Dash Punctuation 6
 
0.4%
Close Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
호 59
 
7.0%
동 58
 
6.9%
양 58
 
6.9%
구 56
 
6.7%
시 56
 
6.7%
울 55
 
6.5%
서 55
 
6.5%
천 55
 
6.5%
별 55
 
6.5%
특 55
 
6.5%
Other values (35) 278
33.1%
Decimal Number
ValueCountFrequency (%)
2 67
19.1%
1 67
19.1%
3 37
10.5%
0 34
9.7%
9 30
8.5%
6 29
8.3%
4 26
 
7.4%
5 24
 
6.8%
7 19
 
5.4%
8 18
 
5.1%
Space Separator
ValueCountFrequency (%)
267
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 840
57.3%
Common 627
42.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
호 59
 
7.0%
동 58
 
6.9%
양 58
 
6.9%
구 56
 
6.7%
시 56
 
6.7%
울 55
 
6.5%
서 55
 
6.5%
천 55
 
6.5%
별 55
 
6.5%
특 55
 
6.5%
Other values (35) 278
33.1%
Common
ValueCountFrequency (%)
267
42.6%
2 67
 
10.7%
1 67
 
10.7%
3 37
 
5.9%
0 34
 
5.4%
9 30
 
4.8%
6 29
 
4.6%
4 26
 
4.1%
5 24
 
3.8%
7 19
 
3.0%
Other values (5) 27
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 840
57.3%
ASCII 627
42.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
267
42.6%
2 67
 
10.7%
1 67
 
10.7%
3 37
 
5.9%
0 34
 
5.4%
9 30
 
4.8%
6 29
 
4.6%
4 26
 
4.1%
5 24
 
3.8%
7 19
 
3.0%
Other values (5) 27
 
4.3%
Hangul
ValueCountFrequency (%)
호 59
 
7.0%
동 58
 
6.9%
양 58
 
6.9%
구 56
 
6.7%
시 56
 
6.7%
울 55
 
6.5%
서 55
 
6.5%
천 55
 
6.5%
별 55
 
6.5%
특 55
 
6.5%
Other values (35) 278
33.1%

도로명주소
Text

MISSING 

Distinct46
Distinct (%)90.2%
Missing4
Missing (%)7.3%
Memory size572.0 B
2024-05-11T03:55:11.135928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length39
Mean length30.333333
Min length22

Characters and Unicode

Total characters1547
Distinct characters76
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique42 ?
Unique (%)82.4%

Sample

1st row서울특별시 양천구 신월로 99, 307호 (신월동, 시영아파트 상가)
2nd row서울특별시 양천구 월정로 129, 3층 (신월동)
3rd row서울특별시 양천구 목동중앙서로 33 (목동)
4th row서울특별시 양천구 오목로 141, 402호 (신정동)
5th row서울특별시 양천구 신목로 74, 3층 (신정동)
ValueCountFrequency (%)
서울특별시 51
15.6%
양천구 51
15.6%
신정동 31
 
9.5%
3층 17
 
5.2%
목동 11
 
3.4%
신월동 10
 
3.1%
2층 10
 
3.1%
신목로 8
 
2.5%
302호 7
 
2.1%
오목로 6
 
1.8%
Other values (85) 124
38.0%
2024-05-11T03:55:12.433800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
275
 
17.8%
동 65
 
4.2%
신 58
 
3.7%
, 56
 
3.6%
양 55
 
3.6%
로 53
 
3.4%
구 53
 
3.4%
) 52
 
3.4%
( 52
 
3.4%
서 52
 
3.4%
Other values (66) 776
50.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 878
56.8%
Space Separator 275
 
17.8%
Decimal Number 230
 
14.9%
Other Punctuation 56
 
3.6%
Close Punctuation 52
 
3.4%
Open Punctuation 52
 
3.4%
Dash Punctuation 4
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 65
 
7.4%
신 58
 
6.6%
양 55
 
6.3%
로 53
 
6.0%
구 53
 
6.0%
서 52
 
5.9%
시 52
 
5.9%
울 51
 
5.8%
천 51
 
5.8%
별 51
 
5.8%
Other values (51) 337
38.4%
Decimal Number
ValueCountFrequency (%)
2 49
21.3%
3 42
18.3%
1 32
13.9%
4 28
12.2%
5 23
10.0%
0 22
9.6%
7 10
 
4.3%
9 10
 
4.3%
6 8
 
3.5%
8 6
 
2.6%
Space Separator
ValueCountFrequency (%)
275
100.0%
Other Punctuation
ValueCountFrequency (%)
, 56
100.0%
Close Punctuation
ValueCountFrequency (%)
) 52
100.0%
Open Punctuation
ValueCountFrequency (%)
( 52
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 878
56.8%
Common 669
43.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 65
 
7.4%
신 58
 
6.6%
양 55
 
6.3%
로 53
 
6.0%
구 53
 
6.0%
서 52
 
5.9%
시 52
 
5.9%
울 51
 
5.8%
천 51
 
5.8%
별 51
 
5.8%
Other values (51) 337
38.4%
Common
ValueCountFrequency (%)
275
41.1%
, 56
 
8.4%
) 52
 
7.8%
( 52
 
7.8%
2 49
 
7.3%
3 42
 
6.3%
1 32
 
4.8%
4 28
 
4.2%
5 23
 
3.4%
0 22
 
3.3%
Other values (5) 38
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 878
56.8%
ASCII 669
43.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
275
41.1%
, 56
 
8.4%
) 52
 
7.8%
( 52
 
7.8%
2 49
 
7.3%
3 42
 
6.3%
1 32
 
4.8%
4 28
 
4.2%
5 23
 
3.4%
0 22
 
3.3%
Other values (5) 38
 
5.7%
Hangul
ValueCountFrequency (%)
동 65
 
7.4%
신 58
 
6.6%
양 55
 
6.3%
로 53
 
6.0%
구 53
 
6.0%
서 52
 
5.9%
시 52
 
5.9%
울 51
 
5.8%
천 51
 
5.8%
별 51
 
5.8%
Other values (51) 337
38.4%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct33
Distinct (%)64.7%
Missing4
Missing (%)7.3%
Infinite0
Infinite (%)0.0%
Mean28655.412
Minimum7917
Maximum158861
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size627.0 B
2024-05-11T03:55:12.859286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7917
5-th percentile7923
Q17948
median8015
Q38075
95-th percentile158845
Maximum158861
Range150944
Interquartile range (IQR)127

Descriptive statistics

Standard deviation52312.026
Coefficient of variation (CV)1.8255549
Kurtosis2.8303615
Mean28655.412
Median Absolute Deviation (MAD)66
Skewness2.1727337
Sum1461426
Variance2.7365481 × 109
MonotonicityNot monotonic
2024-05-11T03:55:13.442742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
8015 9
 
16.4%
7923 3
 
5.5%
7945 3
 
5.5%
8086 2
 
3.6%
7968 2
 
3.6%
158861 2
 
3.6%
8087 2
 
3.6%
7944 2
 
3.6%
7949 2
 
3.6%
8040 1
 
1.8%
Other values (23) 23
41.8%
(Missing) 4
 
7.3%
ValueCountFrequency (%)
7917 1
 
1.8%
7923 3
5.5%
7924 1
 
1.8%
7941 1
 
1.8%
7942 1
 
1.8%
7944 2
3.6%
7945 3
5.5%
7947 1
 
1.8%
7949 2
3.6%
7956 1
 
1.8%
ValueCountFrequency (%)
158861 2
3.6%
158859 1
1.8%
158831 1
1.8%
158074 1
1.8%
158071 1
1.8%
158054 1
1.8%
8087 2
3.6%
8086 2
3.6%
8082 1
1.8%
8077 1
1.8%

사업장명
Text

Distinct50
Distinct (%)90.9%
Missing0
Missing (%)0.0%
Memory size572.0 B
2024-05-11T03:55:14.025401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length19
Mean length8.3090909
Min length3

Characters and Unicode

Total characters457
Distinct characters116
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

Unique45 ?
Unique (%)81.8%

Sample

1st row성락치과기공소
2nd row서부메디칼치과기공소
3rd row미플러스치과기공소
4th row준생각쟁이치과기공소
5th row오랄아트
ValueCountFrequency (%)
치과기공소 5
 
7.9%
한마음치과기공소 2
 
3.2%
이사랑치과기공소 2
 
3.2%
메트로치과기공소 2
 
3.2%
청담치과기공소 2
 
3.2%
허브치과기공소 2
 
3.2%
성락치과기공소 1
 
1.6%
스마트치과기공소 1
 
1.6%
수성치과기공소 1
 
1.6%
다인치과기공소 1
 
1.6%
Other values (44) 44
69.8%
2024-05-11T03:55:15.238887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
소 51
 
11.2%
기 50
 
10.9%
치 49
 
10.7%
공 49
 
10.7%
과 48
 
10.5%
8
 
1.8%
이 7
 
1.5%
트 6
 
1.3%
t 5
 
1.1%
( 5
 
1.1%
Other values (106) 179
39.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 401
87.7%
Lowercase Letter 26
 
5.7%
Uppercase Letter 9
 
2.0%
Space Separator 8
 
1.8%
Open Punctuation 5
 
1.1%
Close Punctuation 5
 
1.1%
Other Punctuation 2
 
0.4%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
소 51
 
12.7%
기 50
 
12.5%
치 49
 
12.2%
공 49
 
12.2%
과 48
 
12.0%
이 7
 
1.7%
트 6
 
1.5%
스 5
 
1.2%
아 4
 
1.0%
탈 4
 
1.0%
Other values (79) 128
31.9%
Lowercase Letter
ValueCountFrequency (%)
t 5
19.2%
a 3
11.5%
y 2
 
7.7%
r 2
 
7.7%
c 2
 
7.7%
e 2
 
7.7%
o 2
 
7.7%
h 2
 
7.7%
f 1
 
3.8%
l 1
 
3.8%
Other values (4) 4
15.4%
Uppercase Letter
ValueCountFrequency (%)
D 3
33.3%
W 1
 
11.1%
M 1
 
11.1%
E 1
 
11.1%
Z 1
 
11.1%
K 1
 
11.1%
S 1
 
11.1%
Other Punctuation
ValueCountFrequency (%)
. 1
50.0%
& 1
50.0%
Space Separator
ValueCountFrequency (%)
8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 401
87.7%
Latin 35
 
7.7%
Common 21
 
4.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
소 51
 
12.7%
기 50
 
12.5%
치 49
 
12.2%
공 49
 
12.2%
과 48
 
12.0%
이 7
 
1.7%
트 6
 
1.5%
스 5
 
1.2%
아 4
 
1.0%
탈 4
 
1.0%
Other values (79) 128
31.9%
Latin
ValueCountFrequency (%)
t 5
14.3%
D 3
 
8.6%
a 3
 
8.6%
y 2
 
5.7%
r 2
 
5.7%
c 2
 
5.7%
e 2
 
5.7%
o 2
 
5.7%
h 2
 
5.7%
f 1
 
2.9%
Other values (11) 11
31.4%
Common
ValueCountFrequency (%)
8
38.1%
( 5
23.8%
) 5
23.8%
- 1
 
4.8%
. 1
 
4.8%
& 1
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 401
87.7%
ASCII 56
 
12.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
소 51
 
12.7%
기 50
 
12.5%
치 49
 
12.2%
공 49
 
12.2%
과 48
 
12.0%
이 7
 
1.7%
트 6
 
1.5%
스 5
 
1.2%
아 4
 
1.0%
탈 4
 
1.0%
Other values (79) 128
31.9%
ASCII
ValueCountFrequency (%)
8
14.3%
t 5
 
8.9%
( 5
 
8.9%
) 5
 
8.9%
D 3
 
5.4%
a 3
 
5.4%
y 2
 
3.6%
r 2
 
3.6%
c 2
 
3.6%
e 2
 
3.6%
Other values (17) 19
33.9%

최종수정일자
Date

UNIQUE 

Distinct55
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size572.0 B
Minimum2009-06-19 10:26:26
Maximum2024-04-16 17:59:26
2024-05-11T03:55:15.918377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T03:55:16.498857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size572.0 B
I
36 
U
19 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 36
65.5%
U 19
34.5%

Length

2024-05-11T03:55:16.956205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:55:17.317747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 36
65.5%
u 19
34.5%

데이터갱신일자
Date

Distinct22
Distinct (%)40.0%
Missing0
Missing (%)0.0%
Memory size572.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-03 23:08:00
2024-05-11T03:55:17.621217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T03:55:17.978783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct41
Distinct (%)77.4%
Missing2
Missing (%)3.6%
Infinite0
Infinite (%)0.0%
Mean187494.55
Minimum185108.01
Maximum189041.85
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size627.0 B
2024-05-11T03:55:18.419392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum185108.01
5-th percentile185263.67
Q1186895.07
median187522.74
Q3188722.53
95-th percentile188941.29
Maximum189041.85
Range3933.8464
Interquartile range (IQR)1827.4656

Descriptive statistics

Standard deviation1231.8359
Coefficient of variation (CV)0.0065699827
Kurtosis-0.8436459
Mean187494.55
Median Absolute Deviation (MAD)870.69114
Skewness-0.53482516
Sum9937211.2
Variance1517419.8
MonotonicityNot monotonic
2024-05-11T03:55:18.978100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
187482.945416202 5
 
9.1%
185599.058085887 3
 
5.5%
188934.319090374 2
 
3.6%
188873.618517322 2
 
3.6%
188373.29307543 2
 
3.6%
188861.493046605 2
 
3.6%
185263.373165461 2
 
3.6%
188785.898183725 2
 
3.6%
187007.685 1
 
1.8%
186990.07041522 1
 
1.8%
Other values (31) 31
56.4%
(Missing) 2
 
3.6%
ValueCountFrequency (%)
185108.006096053 1
 
1.8%
185263.373165461 2
3.6%
185263.865468449 1
 
1.8%
185323.125192975 1
 
1.8%
185529.138798131 1
 
1.8%
185599.058085887 3
5.5%
185820.07 1
 
1.8%
186652.04785526 1
 
1.8%
186668.30696854 1
 
1.8%
186689.593407278 1
 
1.8%
ValueCountFrequency (%)
189041.852514251 1
1.8%
189040.442771323 1
1.8%
188951.756197598 1
1.8%
188934.319090374 2
3.6%
188873.618517322 2
3.6%
188861.493046605 2
3.6%
188811.345893568 1
1.8%
188785.898183725 2
3.6%
188783.842188025 1
1.8%
188722.53075328 1
1.8%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct41
Distinct (%)77.4%
Missing2
Missing (%)3.6%
Infinite0
Infinite (%)0.0%
Mean447175.63
Minimum445944.82
Maximum449437.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size627.0 B
2024-05-11T03:55:19.586985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum445944.82
5-th percentile446190.42
Q1446544.66
median446697.88
Q3447598.76
95-th percentile449386.4
Maximum449437.5
Range3492.6781
Interquartile range (IQR)1054.1066

Descriptive statistics

Standard deviation1017.2342
Coefficient of variation (CV)0.0022747979
Kurtosis0.17118444
Mean447175.63
Median Absolute Deviation (MAD)383.12722
Skewness1.1533581
Sum23700309
Variance1034765.4
MonotonicityNot monotonic
2024-05-11T03:55:19.927399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
446558.469017155 5
 
9.1%
447598.764336924 3
 
5.5%
446320.477875484 2
 
3.6%
446231.144787548 2
 
3.6%
449437.498120903 2
 
3.6%
446226.683789658 2
 
3.6%
447501.014648247 2
 
3.6%
446584.105907437 2
 
3.6%
446135.935 1
 
1.8%
446176.810389121 1
 
1.8%
Other values (31) 31
56.4%
(Missing) 2
 
3.6%
ValueCountFrequency (%)
445944.82 1
1.8%
446135.935 1
1.8%
446176.810389121 1
1.8%
446199.492398091 1
1.8%
446226.683789658 2
3.6%
446231.144787548 2
3.6%
446315.885210727 1
1.8%
446320.477875484 2
3.6%
446477.675714555 1
1.8%
446507.757014948 1
1.8%
ValueCountFrequency (%)
449437.498120903 2
3.6%
449418.662822877 1
1.8%
449364.88554612 1
1.8%
449352.518036807 1
1.8%
449025.950999964 1
1.8%
448953.063207171 1
1.8%
448581.518437968 1
1.8%
448576.598066779 1
1.8%
448197.701695683 1
1.8%
447874.771386911 1
1.8%

기공용레스수
Categorical

Distinct2
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size572.0 B
1
44 
<NA>
11 

Length

Max length4
Median length1
Mean length1.6
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 44
80.0%
<NA> 11
 
20.0%

Length

2024-05-11T03:55:20.373138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:55:20.701704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 44
80.0%
na 11
 
20.0%

원심주조기수
Categorical

Distinct3
Distinct (%)5.5%
Missing0
Missing (%)0.0%
Memory size572.0 B
1
42 
<NA>
11 
2
 
2

Length

Max length4
Median length1
Mean length1.6
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 42
76.4%
<NA> 11
 
20.0%
2 2
 
3.6%

Length

2024-05-11T03:55:21.052372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:55:21.416943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 42
76.4%
na 11
 
20.0%
2 2
 
3.6%

기공용모터수
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)22.7%
Missing11
Missing (%)20.0%
Infinite0
Infinite (%)0.0%
Mean4.25
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size627.0 B
2024-05-11T03:55:21.809221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3.5
Q35
95-th percentile8.85
Maximum10
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.1144574
Coefficient of variation (CV)0.4975194
Kurtosis1.2154667
Mean4.25
Median Absolute Deviation (MAD)1
Skewness1.2321953
Sum187
Variance4.4709302
MonotonicityNot monotonic
2024-05-11T03:55:22.332571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
3 16
29.1%
5 7
12.7%
4 6
 
10.9%
2 5
 
9.1%
6 3
 
5.5%
10 2
 
3.6%
7 2
 
3.6%
9 1
 
1.8%
8 1
 
1.8%
1 1
 
1.8%
(Missing) 11
20.0%
ValueCountFrequency (%)
1 1
 
1.8%
2 5
 
9.1%
3 16
29.1%
4 6
 
10.9%
5 7
12.7%
6 3
 
5.5%
7 2
 
3.6%
8 1
 
1.8%
9 1
 
1.8%
10 2
 
3.6%
ValueCountFrequency (%)
10 2
 
3.6%
9 1
 
1.8%
8 1
 
1.8%
7 2
 
3.6%
6 3
 
5.5%
5 7
12.7%
4 6
 
10.9%
3 16
29.1%
2 5
 
9.1%
1 1
 
1.8%

아세틸렌수
Categorical

Distinct3
Distinct (%)5.5%
Missing0
Missing (%)0.0%
Memory size572.0 B
1
42 
<NA>
12 
0
 
1

Length

Max length4
Median length1
Mean length1.6545455
Min length1

Unique

Unique1 ?
Unique (%)1.8%

Sample

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

Common Values

ValueCountFrequency (%)
1 42
76.4%
<NA> 12
 
21.8%
0 1
 
1.8%

Length

2024-05-11T03:55:22.903340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:55:23.331781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 42
76.4%
na 12
 
21.8%
0 1
 
1.8%

치과용프레스수
Categorical

Distinct3
Distinct (%)5.5%
Missing0
Missing (%)0.0%
Memory size572.0 B
1
40 
<NA>
11 
2
 
4

Length

Max length4
Median length1
Mean length1.6
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 40
72.7%
<NA> 11
 
20.0%
2 4
 
7.3%

Length

2024-05-11T03:55:23.782200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:55:24.172896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 40
72.7%
na 11
 
20.0%
2 4
 
7.3%

전기로수
Categorical

Distinct4
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Memory size572.0 B
1
27 
2
11 
<NA>
11 
3
6 

Length

Max length4
Median length1
Mean length1.6
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 27
49.1%
2 11
20.0%
<NA> 11
20.0%
3 6
 
10.9%

Length

2024-05-11T03:55:24.752273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:55:25.102469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 27
49.1%
2 11
20.0%
na 11
20.0%
3 6
 
10.9%

포셀린로수
Categorical

Distinct6
Distinct (%)10.9%
Missing0
Missing (%)0.0%
Memory size572.0 B
1
25 
2
12 
<NA>
11 
3
5 
4
 
1

Length

Max length4
Median length1
Mean length1.6
Min length1

Unique

Unique2 ?
Unique (%)3.6%

Sample

1st row1
2nd row3
3rd row1
4th row2
5th row3

Common Values

ValueCountFrequency (%)
1 25
45.5%
2 12
21.8%
<NA> 11
20.0%
3 5
 
9.1%
4 1
 
1.8%
5 1
 
1.8%

Length

2024-05-11T03:55:25.856281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:55:26.196145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 25
45.5%
2 12
21.8%
na 11
20.0%
3 5
 
9.1%
4 1
 
1.8%
5 1
 
1.8%

초음파청소기수
Categorical

Distinct3
Distinct (%)5.5%
Missing0
Missing (%)0.0%
Memory size572.0 B
1
38 
<NA>
11 
2
6 

Length

Max length4
Median length1
Mean length1.6
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 38
69.1%
<NA> 11
 
20.0%
2 6
 
10.9%

Length

2024-05-11T03:55:26.691949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:55:27.176971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 38
69.1%
na 11
 
20.0%
2 6
 
10.9%

서베이어수
Categorical

Distinct4
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Memory size572.0 B
1
33 
<NA>
11 
2
10 
3
 
1

Length

Max length4
Median length1
Mean length1.6
Min length1

Unique

Unique1 ?
Unique (%)1.8%

Sample

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

Common Values

ValueCountFrequency (%)
1 33
60.0%
<NA> 11
 
20.0%
2 10
 
18.2%
3 1
 
1.8%

Length

2024-05-11T03:55:27.724617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:55:28.085626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 33
60.0%
na 11
 
20.0%
2 10
 
18.2%
3 1
 
1.8%

진동기수
Categorical

Distinct3
Distinct (%)5.5%
Missing0
Missing (%)0.0%
Memory size572.0 B
1
38 
<NA>
11 
2
6 

Length

Max length4
Median length1
Mean length1.6
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 38
69.1%
<NA> 11
 
20.0%
2 6
 
10.9%

Length

2024-05-11T03:55:28.456566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:55:28.873018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 38
69.1%
na 11
 
20.0%
2 6
 
10.9%

트리머수
Categorical

Distinct3
Distinct (%)5.5%
Missing0
Missing (%)0.0%
Memory size572.0 B
1
42 
<NA>
11 
2
 
2

Length

Max length4
Median length1
Mean length1.6
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 42
76.4%
<NA> 11
 
20.0%
2 2
 
3.6%

Length

2024-05-11T03:55:29.409142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:55:29.889073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 42
76.4%
na 11
 
20.0%
2 2
 
3.6%

기공용컴프레서수
Categorical

Distinct3
Distinct (%)5.5%
Missing0
Missing (%)0.0%
Memory size572.0 B
1
33 
<NA>
16 
2
6 

Length

Max length4
Median length1
Mean length1.8727273
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 33
60.0%
<NA> 16
29.1%
2 6
 
10.9%

Length

2024-05-11T03:55:30.394660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:55:30.873044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 33
60.0%
na 16
29.1%
2 6
 
10.9%

샌드기수
Categorical

Distinct4
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Memory size572.0 B
1
28 
<NA>
16 
2
10 
3
 
1

Length

Max length4
Median length1
Mean length1.8727273
Min length1

Unique

Unique1 ?
Unique (%)1.8%

Sample

1st row2
2nd row2
3rd row1
4th row1
5th row<NA>

Common Values

ValueCountFrequency (%)
1 28
50.9%
<NA> 16
29.1%
2 10
 
18.2%
3 1
 
1.8%

Length

2024-05-11T03:55:31.323879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:55:31.696793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 28
50.9%
na 16
29.1%
2 10
 
18.2%
3 1
 
1.8%

진공매몰기수
Categorical

Distinct3
Distinct (%)5.5%
Missing0
Missing (%)0.0%
Memory size572.0 B
1
35 
<NA>
16 
2
4 

Length

Max length4
Median length1
Mean length1.8727273
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row2
3rd row1
4th row1
5th row<NA>

Common Values

ValueCountFrequency (%)
1 35
63.6%
<NA> 16
29.1%
2 4
 
7.3%

Length

2024-05-11T03:55:32.118279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:55:32.612891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 35
63.6%
na 16
29.1%
2 4
 
7.3%

핀덱스수
Categorical

Distinct2
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size572.0 B
1
39 
<NA>
16 

Length

Max length4
Median length1
Mean length1.8727273
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 39
70.9%
<NA> 16
29.1%

Length

2024-05-11T03:55:33.130940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:55:33.572750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 39
70.9%
na 16
29.1%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)기공용레스수원심주조기수기공용모터수아세틸렌수치과용프레스수전기로수포셀린로수초음파청소기수서베이어수진동기수트리머수기공용컴프레서수샌드기수진공매몰기수핀덱스수
03140000PHMB31991314003306230000119910726<NA>3폐업3폐업20211231<NA><NA><NA>2068-2877<NA>158781서울특별시 양천구 신월동 987번지 1호 시영아파트상가 307호서울특별시 양천구 신월로 99, 307호 (신월동, 시영아파트 상가)8042성락치과기공소2022-01-27 12:24:13U2022-01-29 02:40:00.0<NA>185263.865468446199.492398115111122211211
13140000PHMB31992314003306230000119920914<NA>3폐업3폐업20180801<NA><NA><NA>2604-3332<NA>158827서울특별시 양천구 신월1동 116번지 36호 지하서울특별시 양천구 월정로 129, 3층 (신월동)7923서부메디칼치과기공소2018-08-01 09:30:00I2018-08-31 23:59:59.0<NA>185599.058086447598.764337116113312211221
23140000PHMB31995314003306230000119950516<NA>3폐업3폐업20120507<NA><NA><NA>2642-0171<NA>158818서울특별시 양천구 목4동 775번지 31호 2층서울특별시 양천구 목동중앙서로 33 (목동)158054미플러스치과기공소2012-08-01 09:02:47I2018-08-31 23:59:59.0<NA>188227.336978447874.771387112111111111111
33140000PHMB31997314003306230000119970526<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2603-5407<NA><NA>서울특별시 양천구 신정동 928-9 402호서울특별시 양천구 오목로 141, 402호 (신정동)7942준생각쟁이치과기공소2021-10-07 14:51:16U2021-10-09 02:40:00.0<NA>186940.787398446955.356289113121211111111
43140000PHMB32001314003306230000120010829<NA>1영업/정상13영업중<NA><NA><NA><NA>2645-2804<NA>158849서울특별시 양천구 신정2동 89번지 1호 2층서울특별시 양천구 신목로 74, 3층 (신정동)8015오랄아트2011-11-24 11:51:28I2018-08-31 23:59:59.0<NA>188785.898184446584.105907111011331212<NA><NA><NA><NA>
53140000PHMB32002314003306230000120021224<NA>3폐업3폐업20111117<NA><NA><NA><NA><NA>158071서울특별시 양천구 신정1동 1033번지 3호 3층<NA><NA>이사랑치과기공소2011-11-17 17:38:27I2018-08-31 23:59:59.0<NA><NA><NA>11211111111<NA><NA><NA><NA>
63140000PHMB32002314003306230000220020617<NA>1영업/정상13영업중<NA><NA><NA><NA>2699-2883<NA><NA>서울특별시 양천구 신정동 912번지 7호서울특별시 양천구 신정중앙로 48, 4층 (신정동)7944이소치과기공소2018-05-28 10:19:02I2018-08-31 23:59:59.0<NA>187298.225124447210.1536961110111412112221
73140000PHMB32004314003306230000120040308<NA>1영업/정상13영업중<NA><NA><NA><NA>2696-3590<NA>158071서울특별시 양천구 신정동 1015번지 10호 2층서울특별시 양천구 은행정로4길 22, 2층 (신정동)8087믿음치과기공소2011-12-05 13:19:15I2018-08-31 23:59:59.0<NA>187751.824647446551.924772115112211111111
83140000PHMB32004314003306230000220041215<NA>3폐업3폐업20110209<NA><NA><NA>2061-2901<NA>158861서울특별시 양천구 신정1동 1025번지 6호 신양빌딩 301호<NA><NA>탑치과기공소2011-02-09 17:11:50I2018-08-31 23:59:59.0<NA>187482.945416446558.46901711911332111<NA><NA><NA><NA>
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개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)기공용레스수원심주조기수기공용모터수아세틸렌수치과용프레스수전기로수포셀린로수초음파청소기수서베이어수진동기수트리머수기공용컴프레서수샌드기수진공매몰기수핀덱스수
453140000PHMB32018314003306230000220180716<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 양천구 신정동 1148번지 2호서울특별시 양천구 중앙로 235, 신성빌딩 4층층 (신정동)8077굿잡치과기공소2019-02-25 17:21:04U2019-02-27 02:40:00.0<NA>187007.685446135.935113111111111111
463140000PHMB32018314003306230000320180717<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 양천구 신정동 1015번지 12호 2층서울특별시 양천구 중앙로32길 83, 2층 (신정동)8087위드유(With you) 치과기공소2019-02-25 17:19:31U2019-02-27 02:40:00.0<NA>187769.09505446544.65773113111111111111
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483140000PHMB32018314003306230000520181022<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 양천구 신정동 89번지 1호 4층서울특별시 양천구 신목로 74, 4층 (신정동)8015진아트 치과기공소2019-02-25 17:18:20U2019-02-27 02:40:00.0<NA>188785.898184446584.105907114111111111111
493140000PHMB32020314003306230000120200122<NA>3폐업3폐업20211126<NA><NA><NA><NA><NA><NA>서울특별시 양천구 신월동 224번지 27호서울특별시 양천구 곰달래로 12, 5층 (신월동)7924허브치과기공소2021-11-26 16:25:09U2021-11-28 02:40:00.0<NA>185263.373165447501.014648113111111111111
503140000PHMB32021314003306230000120210915<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 양천구 신월동 971-1서울특별시 양천구 지양로 54, 3층 (신월동)8040디엠(DM) 치과기공소2021-12-01 09:10:29U2021-12-03 02:40:00.0<NA>185323.125193446507.757015111011111111111
513140000PHMB3202331400330623000012020-08-31<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 양천구 목동 748-5 3층서울특별시 양천구 목동중앙본로 37, 3층 (목동)7960석진치과기공소2023-09-04 18:24:18I2022-12-09 00:06:00.0<NA>188353.701721448581.518438<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
523140000PHMB3202331400330623000022019-06-18<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 양천구 신월동 116-36 3층서울특별시 양천구 월정로 129, 3층 (신월동)7923홍치과기공소2023-11-08 16:29:59I2022-10-31 23:01:00.0<NA>185599.058086447598.764337<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
533140000PHMB3202331400330623000032023-12-01<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2646-2804<NA><NA>서울특별시 양천구 목동 406-28 목동 슬로우스퀘어 518호서울특별시 양천구 오목로 345, 목동 슬로우스퀘어 5층 518호 (목동)7999올커넥2023-12-01 16:49:56I2022-11-02 00:03:00.0<NA>188951.756198446969.38865<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
543140000PHMB3202431400330623000012024-04-16<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2643-2804<NA><NA>서울특별시 양천구 신정동 129-23 302호서울특별시 양천구 신목로 22, 3층 302호 (신정동)8015이스타(E-star) 치과기공소2024-04-16 17:59:26I2023-12-03 23:08:00.0<NA>188873.618517446231.144788<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>