Overview

Dataset statistics

Number of variables40
Number of observations130
Missing cells975
Missing cells (%)18.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory44.1 KiB
Average record size in memory347.0 B

Variable types

Categorical19
Text6
DateTime5
Unsupported5
Numeric5

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),기공용레스수,원심주조기수,기공용모터수,아세틸렌수,치과용프레스수,전기로수,포셀린로수,초음파청소기수,서베이어수,진동기수,트리머수,기공용컴프레서수,샌드기수,진공매몰기수,핀덱스수
Author강남구
URLhttps://data.seoul.go.kr/dataList/OA-16476/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has constant value ""Constant
기공용레스수 is highly imbalanced (53.7%)Imbalance
원심주조기수 is highly imbalanced (52.0%)Imbalance
아세틸렌수 is highly imbalanced (59.1%)Imbalance
치과용프레스수 is highly imbalanced (55.6%)Imbalance
초음파청소기수 is highly imbalanced (56.0%)Imbalance
서베이어수 is highly imbalanced (53.9%)Imbalance
진동기수 is highly imbalanced (53.3%)Imbalance
트리머수 is highly imbalanced (59.1%)Imbalance
진공매몰기수 is highly imbalanced (50.4%)Imbalance
인허가취소일자 has 129 (99.2%) missing valuesMissing
폐업일자 has 41 (31.5%) missing valuesMissing
휴업시작일자 has 130 (100.0%) missing valuesMissing
휴업종료일자 has 130 (100.0%) missing valuesMissing
재개업일자 has 130 (100.0%) missing valuesMissing
전화번호 has 24 (18.5%) missing valuesMissing
소재지면적 has 130 (100.0%) missing valuesMissing
소재지우편번호 has 44 (33.8%) missing valuesMissing
지번주소 has 3 (2.3%) missing valuesMissing
도로명우편번호 has 35 (26.9%) missing valuesMissing
업태구분명 has 130 (100.0%) missing valuesMissing
기공용모터수 has 23 (17.7%) missing valuesMissing
전기로수 has 23 (17.7%) missing valuesMissing
관리번호 has unique valuesUnique
최종수정일자 has unique valuesUnique
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 05:49:15.958531
Analysis finished2024-05-11 05:49:16.851700
Duration0.89 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
3220000
130 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3220000
2nd row3220000
3rd row3220000
4th row3220000
5th row3220000

Common Values

ValueCountFrequency (%)
3220000 130
100.0%

Length

2024-05-11T14:49:16.957902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:49:17.134845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3220000 130
100.0%

관리번호
Text

UNIQUE 

Distinct130
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-05-11T14:49:17.467885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters3250
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

Unique130 ?
Unique (%)100.0%

Sample

1st rowPHMB319813220033062300001
2nd rowPHMB319843220033062300001
3rd rowPHMB319863220033062300001
4th rowPHMB319883220033062300001
5th rowPHMB319923220033062300001
ValueCountFrequency (%)
phmb319813220033062300001 1
 
0.8%
phmb320163220033062300003 1
 
0.8%
phmb320163220033062300001 1
 
0.8%
phmb320153220033062300007 1
 
0.8%
phmb320153220033062300006 1
 
0.8%
phmb320153220033062300005 1
 
0.8%
phmb320153220033062300004 1
 
0.8%
phmb320153220033062300003 1
 
0.8%
phmb320153220033062300002 1
 
0.8%
phmb320153220033062300001 1
 
0.8%
Other values (120) 120
92.3%
2024-05-11T14:49:18.190885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1095
33.7%
3 680
20.9%
2 560
17.2%
6 159
 
4.9%
P 130
 
4.0%
H 130
 
4.0%
M 130
 
4.0%
B 130
 
4.0%
1 111
 
3.4%
9 38
 
1.2%
Other values (4) 87
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2730
84.0%
Uppercase Letter 520
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1095
40.1%
3 680
24.9%
2 560
20.5%
6 159
 
5.8%
1 111
 
4.1%
9 38
 
1.4%
4 23
 
0.8%
5 23
 
0.8%
8 22
 
0.8%
7 19
 
0.7%
Uppercase Letter
ValueCountFrequency (%)
P 130
25.0%
H 130
25.0%
M 130
25.0%
B 130
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2730
84.0%
Latin 520
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1095
40.1%
3 680
24.9%
2 560
20.5%
6 159
 
5.8%
1 111
 
4.1%
9 38
 
1.4%
4 23
 
0.8%
5 23
 
0.8%
8 22
 
0.8%
7 19
 
0.7%
Latin
ValueCountFrequency (%)
P 130
25.0%
H 130
25.0%
M 130
25.0%
B 130
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3250
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1095
33.7%
3 680
20.9%
2 560
17.2%
6 159
 
4.9%
P 130
 
4.0%
H 130
 
4.0%
M 130
 
4.0%
B 130
 
4.0%
1 111
 
3.4%
9 38
 
1.2%
Other values (4) 87
 
2.7%

인허가일자
Date

Distinct129
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Minimum1981-01-14 00:00:00
Maximum2024-01-24 00:00:00
2024-05-11T14:49:18.458067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:49:18.710676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing129
Missing (%)99.2%
Memory size1.1 KiB
Minimum2024-01-24 00:00:00
Maximum2024-01-24 00:00:00
2024-05-11T14:49:18.899161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:49:19.070920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

영업상태코드
Categorical

Distinct4
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
3
84 
1
36 
5
 
6
4
 
4

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 84
64.6%
1 36
27.7%
5 6
 
4.6%
4 4
 
3.1%

Length

2024-05-11T14:49:19.263486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:49:19.462212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 84
64.6%
1 36
27.7%
5 6
 
4.6%
4 4
 
3.1%

영업상태명
Categorical

Distinct4
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
폐업
84 
영업/정상
36 
제외/삭제/전출
 
6
취소/말소/만료/정지/중지
 
4

Length

Max length14
Median length2
Mean length3.4769231
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 84
64.6%
영업/정상 36
27.7%
제외/삭제/전출 6
 
4.6%
취소/말소/만료/정지/중지 4
 
3.1%

Length

2024-05-11T14:49:19.660970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:49:19.981625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 84
64.6%
영업/정상 36
27.7%
제외/삭제/전출 6
 
4.6%
취소/말소/만료/정지/중지 4
 
3.1%

상세영업상태코드
Categorical

Distinct5
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
3
84 
13
36 
15
 
5
24
 
4
99
 
1

Length

Max length2
Median length1
Mean length1.3538462
Min length1

Unique

Unique1 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
3 84
64.6%
13 36
27.7%
15 5
 
3.8%
24 4
 
3.1%
99 1
 
0.8%

Length

2024-05-11T14:49:20.185813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:49:20.357834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 84
64.6%
13 36
27.7%
15 5
 
3.8%
24 4
 
3.1%
99 1
 
0.8%

상세영업상태명
Categorical

Distinct5
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
폐업
84 
영업중
36 
전출
 
5
직권폐업
 
4
삭제
 
1

Length

Max length4
Median length2
Mean length2.3384615
Min length2

Unique

Unique1 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 84
64.6%
영업중 36
27.7%
전출 5
 
3.8%
직권폐업 4
 
3.1%
삭제 1
 
0.8%

Length

2024-05-11T14:49:20.578064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:49:20.765231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 84
64.6%
영업중 36
27.7%
전출 5
 
3.8%
직권폐업 4
 
3.1%
삭제 1
 
0.8%

폐업일자
Date

MISSING 

Distinct87
Distinct (%)97.8%
Missing41
Missing (%)31.5%
Memory size1.1 KiB
Minimum2008-05-26 00:00:00
Maximum2023-07-19 00:00:00
2024-05-11T14:49:21.371910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:49:21.702188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing130
Missing (%)100.0%
Memory size1.3 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing130
Missing (%)100.0%
Memory size1.3 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing130
Missing (%)100.0%
Memory size1.3 KiB

전화번호
Text

MISSING 

Distinct100
Distinct (%)94.3%
Missing24
Missing (%)18.5%
Memory size1.1 KiB
2024-05-11T14:49:22.279877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length8
Mean length8.8490566
Min length7

Characters and Unicode

Total characters938
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 (%)88.7%

Sample

1st row553-4915
2nd row548-7590~1
3rd row552-9503
4th row02-518-4240
5th row541-4917
ValueCountFrequency (%)
565-8603 2
 
1.9%
992-3363 2
 
1.9%
556-7704 2
 
1.9%
567-4357 2
 
1.9%
515-5984 2
 
1.9%
569-1226 2
 
1.9%
3442-0119 1
 
0.9%
555-1807 1
 
0.9%
6407-2845 1
 
0.9%
545-1621 1
 
0.9%
Other values (90) 90
84.9%
2024-05-11T14:49:23.021047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 121
12.9%
- 115
12.3%
4 107
11.4%
2 105
11.2%
0 88
9.4%
8 87
9.3%
3 72
7.7%
1 66
7.0%
7 66
7.0%
6 63
6.7%
Other values (3) 48
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 821
87.5%
Dash Punctuation 115
 
12.3%
Math Symbol 1
 
0.1%
Other Punctuation 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 121
14.7%
4 107
13.0%
2 105
12.8%
0 88
10.7%
8 87
10.6%
3 72
8.8%
1 66
8.0%
7 66
8.0%
6 63
7.7%
9 46
 
5.6%
Dash Punctuation
ValueCountFrequency (%)
- 115
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 938
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 121
12.9%
- 115
12.3%
4 107
11.4%
2 105
11.2%
0 88
9.4%
8 87
9.3%
3 72
7.7%
1 66
7.0%
7 66
7.0%
6 63
6.7%
Other values (3) 48
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 938
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 121
12.9%
- 115
12.3%
4 107
11.4%
2 105
11.2%
0 88
9.4%
8 87
9.3%
3 72
7.7%
1 66
7.0%
7 66
7.0%
6 63
6.7%
Other values (3) 48
 
5.1%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing130
Missing (%)100.0%
Memory size1.3 KiB

소재지우편번호
Text

MISSING 

Distinct44
Distinct (%)51.2%
Missing44
Missing (%)33.8%
Memory size1.1 KiB
2024-05-11T14:49:23.416468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length5.9883721
Min length5

Characters and Unicode

Total characters515
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

Unique31 ?
Unique (%)36.0%

Sample

1st row135281
2nd row135081
3rd row135011
4th row135120
5th row135843
ValueCountFrequency (%)
135081 13
 
15.1%
135887 8
 
9.3%
135120 7
 
8.1%
135011 6
 
7.0%
135891 4
 
4.7%
135101 3
 
3.5%
135825 2
 
2.3%
135953 2
 
2.3%
135091 2
 
2.3%
135909 2
 
2.3%
Other values (34) 37
43.0%
2024-05-11T14:49:23.996283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 152
29.5%
3 94
18.3%
5 94
18.3%
8 54
 
10.5%
0 40
 
7.8%
9 25
 
4.9%
2 24
 
4.7%
7 17
 
3.3%
4 9
 
1.7%
6 5
 
1.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 514
99.8%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 152
29.6%
3 94
18.3%
5 94
18.3%
8 54
 
10.5%
0 40
 
7.8%
9 25
 
4.9%
2 24
 
4.7%
7 17
 
3.3%
4 9
 
1.8%
6 5
 
1.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 515
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 152
29.5%
3 94
18.3%
5 94
18.3%
8 54
 
10.5%
0 40
 
7.8%
9 25
 
4.9%
2 24
 
4.7%
7 17
 
3.3%
4 9
 
1.7%
6 5
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 515
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 152
29.5%
3 94
18.3%
5 94
18.3%
8 54
 
10.5%
0 40
 
7.8%
9 25
 
4.9%
2 24
 
4.7%
7 17
 
3.3%
4 9
 
1.7%
6 5
 
1.0%

지번주소
Text

MISSING 

Distinct120
Distinct (%)94.5%
Missing3
Missing (%)2.3%
Memory size1.1 KiB
2024-05-11T14:49:24.613189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length33
Mean length27.708661
Min length18

Characters and Unicode

Total characters3519
Distinct characters120
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

Unique113 ?
Unique (%)89.0%

Sample

1st row서울특별시 강남구 대치1동 897번지 해창빌딩 3층 302호
2nd row서울특별시 강남구 역삼1동 708번지 25호 씨알빌딩 505호
3rd row서울특별시 강남구 논현1동 49번지 9호 금성3층
4th row서울특별시 강남구 신사동 636번지 3호
5th row서울특별시 강남구 대치4동 921번지 5호 2층
ValueCountFrequency (%)
서울특별시 127
 
16.6%
강남구 127
 
16.6%
신사동 28
 
3.7%
역삼1동 22
 
2.9%
4층 20
 
2.6%
역삼동 18
 
2.4%
1호 14
 
1.8%
논현1동 12
 
1.6%
3층 10
 
1.3%
4호 9
 
1.2%
Other values (226) 377
49.3%
2024-05-11T14:49:25.406741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
649
 
18.4%
1 172
 
4.9%
호 132
 
3.8%
남 132
 
3.8%
강 131
 
3.7%
서 130
 
3.7%
동 130
 
3.7%
울 127
 
3.6%
구 127
 
3.6%
시 127
 
3.6%
Other values (110) 1662
47.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2090
59.4%
Decimal Number 746
 
21.2%
Space Separator 649
 
18.4%
Uppercase Letter 19
 
0.5%
Dash Punctuation 15
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
호 132
 
6.3%
남 132
 
6.3%
강 131
 
6.3%
서 130
 
6.2%
동 130
 
6.2%
울 127
 
6.1%
구 127
 
6.1%
시 127
 
6.1%
별 127
 
6.1%
특 127
 
6.1%
Other values (88) 800
38.3%
Decimal Number
ValueCountFrequency (%)
1 172
23.1%
2 103
13.8%
4 84
11.3%
6 65
 
8.7%
5 65
 
8.7%
0 62
 
8.3%
3 60
 
8.0%
7 56
 
7.5%
9 41
 
5.5%
8 38
 
5.1%
Uppercase Letter
ValueCountFrequency (%)
R 3
15.8%
E 3
15.8%
W 3
15.8%
O 3
15.8%
T 2
10.5%
S 1
 
5.3%
I 1
 
5.3%
H 1
 
5.3%
B 1
 
5.3%
A 1
 
5.3%
Space Separator
ValueCountFrequency (%)
649
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2090
59.4%
Common 1410
40.1%
Latin 19
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
호 132
 
6.3%
남 132
 
6.3%
강 131
 
6.3%
서 130
 
6.2%
동 130
 
6.2%
울 127
 
6.1%
구 127
 
6.1%
시 127
 
6.1%
별 127
 
6.1%
특 127
 
6.1%
Other values (88) 800
38.3%
Common
ValueCountFrequency (%)
649
46.0%
1 172
 
12.2%
2 103
 
7.3%
4 84
 
6.0%
6 65
 
4.6%
5 65
 
4.6%
0 62
 
4.4%
3 60
 
4.3%
7 56
 
4.0%
9 41
 
2.9%
Other values (2) 53
 
3.8%
Latin
ValueCountFrequency (%)
R 3
15.8%
E 3
15.8%
W 3
15.8%
O 3
15.8%
T 2
10.5%
S 1
 
5.3%
I 1
 
5.3%
H 1
 
5.3%
B 1
 
5.3%
A 1
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2090
59.4%
ASCII 1429
40.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
649
45.4%
1 172
 
12.0%
2 103
 
7.2%
4 84
 
5.9%
6 65
 
4.5%
5 65
 
4.5%
0 62
 
4.3%
3 60
 
4.2%
7 56
 
3.9%
9 41
 
2.9%
Other values (12) 72
 
5.0%
Hangul
ValueCountFrequency (%)
호 132
 
6.3%
남 132
 
6.3%
강 131
 
6.3%
서 130
 
6.2%
동 130
 
6.2%
울 127
 
6.1%
구 127
 
6.1%
시 127
 
6.1%
별 127
 
6.1%
특 127
 
6.1%
Other values (88) 800
38.3%

도로명주소
Text

Distinct123
Distinct (%)95.3%
Missing1
Missing (%)0.8%
Memory size1.1 KiB
2024-05-11T14:49:25.894315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length37
Mean length32.356589
Min length24

Characters and Unicode

Total characters4174
Distinct characters138
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

Unique117 ?
Unique (%)90.7%

Sample

1st row서울특별시 강남구 선릉로 424 (대치동,해창빌딩 3층 302호)
2nd row서울특별시 강남구 선릉로89길 7, 505호 (역삼동, 씨알빌딩 )
3rd row서울특별시 강남구 학동로1길 19 (논현동,금성3층)
4th row서울특별시 강남구 언주로172길 8-4 (신사동)
5th row서울특별시 강남구 선릉로 328, 2층 (대치동)
ValueCountFrequency (%)
서울특별시 129
 
16.0%
강남구 129
 
16.0%
역삼동 31
 
3.9%
신사동 25
 
3.1%
4층 20
 
2.5%
논현동 17
 
2.1%
3층 12
 
1.5%
2층 11
 
1.4%
강남대로152길 9
 
1.1%
5층 9
 
1.1%
Other values (264) 412
51.2%
2024-05-11T14:49:26.636023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
675
 
16.2%
남 164
 
3.9%
강 163
 
3.9%
, 149
 
3.6%
동 147
 
3.5%
1 133
 
3.2%
서 132
 
3.2%
구 132
 
3.2%
( 129
 
3.1%
특 129
 
3.1%
Other values (128) 2221
53.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2372
56.8%
Decimal Number 681
 
16.3%
Space Separator 675
 
16.2%
Other Punctuation 149
 
3.6%
Open Punctuation 129
 
3.1%
Close Punctuation 129
 
3.1%
Uppercase Letter 30
 
0.7%
Dash Punctuation 8
 
0.2%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 164
 
6.9%
강 163
 
6.9%
동 147
 
6.2%
서 132
 
5.6%
구 132
 
5.6%
특 129
 
5.4%
별 129
 
5.4%
시 129
 
5.4%
울 129
 
5.4%
로 129
 
5.4%
Other values (102) 989
41.7%
Decimal Number
ValueCountFrequency (%)
1 133
19.5%
2 115
16.9%
3 90
13.2%
4 72
10.6%
0 67
9.8%
5 66
9.7%
8 41
 
6.0%
6 36
 
5.3%
9 31
 
4.6%
7 30
 
4.4%
Uppercase Letter
ValueCountFrequency (%)
E 5
16.7%
O 5
16.7%
R 5
16.7%
W 4
13.3%
T 3
10.0%
H 2
 
6.7%
S 2
 
6.7%
I 2
 
6.7%
A 1
 
3.3%
B 1
 
3.3%
Space Separator
ValueCountFrequency (%)
675
100.0%
Other Punctuation
ValueCountFrequency (%)
, 149
100.0%
Open Punctuation
ValueCountFrequency (%)
( 129
100.0%
Close Punctuation
ValueCountFrequency (%)
) 129
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Lowercase Letter
ValueCountFrequency (%)
b 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2372
56.8%
Common 1771
42.4%
Latin 31
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 164
 
6.9%
강 163
 
6.9%
동 147
 
6.2%
서 132
 
5.6%
구 132
 
5.6%
특 129
 
5.4%
별 129
 
5.4%
시 129
 
5.4%
울 129
 
5.4%
로 129
 
5.4%
Other values (102) 989
41.7%
Common
ValueCountFrequency (%)
675
38.1%
, 149
 
8.4%
1 133
 
7.5%
( 129
 
7.3%
) 129
 
7.3%
2 115
 
6.5%
3 90
 
5.1%
4 72
 
4.1%
0 67
 
3.8%
5 66
 
3.7%
Other values (5) 146
 
8.2%
Latin
ValueCountFrequency (%)
E 5
16.1%
O 5
16.1%
R 5
16.1%
W 4
12.9%
T 3
9.7%
H 2
 
6.5%
S 2
 
6.5%
I 2
 
6.5%
A 1
 
3.2%
B 1
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2372
56.8%
ASCII 1802
43.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
675
37.5%
, 149
 
8.3%
1 133
 
7.4%
( 129
 
7.2%
) 129
 
7.2%
2 115
 
6.4%
3 90
 
5.0%
4 72
 
4.0%
0 67
 
3.7%
5 66
 
3.7%
Other values (16) 177
 
9.8%
Hangul
ValueCountFrequency (%)
남 164
 
6.9%
강 163
 
6.9%
동 147
 
6.2%
서 132
 
5.6%
구 132
 
5.6%
특 129
 
5.4%
별 129
 
5.4%
시 129
 
5.4%
울 129
 
5.4%
로 129
 
5.4%
Other values (102) 989
41.7%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct66
Distinct (%)69.5%
Missing35
Missing (%)26.9%
Infinite0
Infinite (%)0.0%
Mean32087.958
Minimum6014
Maximum135962
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-05-11T14:49:26.946991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6014
5-th percentile6028
Q16058.5
median6166
Q36284.5
95-th percentile135909
Maximum135962
Range129948
Interquartile range (IQR)226

Descriptive statistics

Standard deviation52171.594
Coefficient of variation (CV)1.6258932
Kurtosis0.32958167
Mean32087.958
Median Absolute Deviation (MAD)109
Skewness1.5241624
Sum3048356
Variance2.7218752 × 109
MonotonicityNot monotonic
2024-05-11T14:49:27.185819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6035 8
 
6.2%
6123 3
 
2.3%
135887 3
 
2.3%
6254 3
 
2.3%
6194 3
 
2.3%
6039 2
 
1.5%
6068 2
 
1.5%
135909 2
 
1.5%
135891 2
 
1.5%
6048 2
 
1.5%
Other values (56) 65
50.0%
(Missing) 35
26.9%
ValueCountFrequency (%)
6014 1
 
0.8%
6017 1
 
0.8%
6024 1
 
0.8%
6027 1
 
0.8%
6028 2
 
1.5%
6031 1
 
0.8%
6032 1
 
0.8%
6034 1
 
0.8%
6035 8
6.2%
6039 2
 
1.5%
ValueCountFrequency (%)
135962 1
 
0.8%
135953 1
 
0.8%
135925 1
 
0.8%
135914 1
 
0.8%
135909 2
1.5%
135896 1
 
0.8%
135891 2
1.5%
135888 1
 
0.8%
135887 3
2.3%
135841 1
 
0.8%

사업장명
Text

Distinct122
Distinct (%)93.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-05-11T14:49:27.547277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length26
Mean length8.5307692
Min length2

Characters and Unicode

Total characters1109
Distinct characters185
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

Unique115 ?
Unique (%)88.5%

Sample

1st row샵치과기공소
2nd row한강치과기공소
3rd row덴토피아치과기공소
4th row한치과기공소
5th row신원치과기공소
ValueCountFrequency (%)
샤인치과기공소 3
 
2.1%
치과기공소 3
 
2.1%
dental 3
 
2.1%
이지치과기공소 2
 
1.4%
이라인치과기공소 2
 
1.4%
진치과기공소 2
 
1.4%
이오치과기공소 2
 
1.4%
큐브세븐틴 2
 
1.4%
제이티치과기공소 2
 
1.4%
lab 2
 
1.4%
Other values (122) 123
84.2%
2024-05-11T14:49:28.088548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
기 114
 
10.3%
공 113
 
10.2%
소 113
 
10.2%
치 110
 
9.9%
과 109
 
9.8%
이 31
 
2.8%
스 23
 
2.1%
e 16
 
1.4%
덴 16
 
1.4%
16
 
1.4%
Other values (175) 448
40.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 974
87.8%
Lowercase Letter 63
 
5.7%
Uppercase Letter 30
 
2.7%
Space Separator 16
 
1.4%
Open Punctuation 10
 
0.9%
Close Punctuation 10
 
0.9%
Decimal Number 4
 
0.4%
Math Symbol 1
 
0.1%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 114
 
11.7%
공 113
 
11.6%
소 113
 
11.6%
치 110
 
11.3%
과 109
 
11.2%
이 31
 
3.2%
스 23
 
2.4%
덴 16
 
1.6%
탈 12
 
1.2%
인 11
 
1.1%
Other values (138) 322
33.1%
Uppercase Letter
ValueCountFrequency (%)
D 6
20.0%
B 5
16.7%
R 3
10.0%
L 2
 
6.7%
C 2
 
6.7%
H 2
 
6.7%
S 1
 
3.3%
G 1
 
3.3%
J 1
 
3.3%
I 1
 
3.3%
Other values (6) 6
20.0%
Lowercase Letter
ValueCountFrequency (%)
e 16
25.4%
n 10
15.9%
t 8
12.7%
l 6
 
9.5%
a 6
 
9.5%
s 4
 
6.3%
r 3
 
4.8%
i 3
 
4.8%
b 2
 
3.2%
g 2
 
3.2%
Other values (3) 3
 
4.8%
Decimal Number
ValueCountFrequency (%)
2 2
50.0%
3 1
25.0%
1 1
25.0%
Space Separator
ValueCountFrequency (%)
16
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 974
87.8%
Latin 93
 
8.4%
Common 42
 
3.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 114
 
11.7%
공 113
 
11.6%
소 113
 
11.6%
치 110
 
11.3%
과 109
 
11.2%
이 31
 
3.2%
스 23
 
2.4%
덴 16
 
1.6%
탈 12
 
1.2%
인 11
 
1.1%
Other values (138) 322
33.1%
Latin
ValueCountFrequency (%)
e 16
17.2%
n 10
 
10.8%
t 8
 
8.6%
l 6
 
6.5%
a 6
 
6.5%
D 6
 
6.5%
B 5
 
5.4%
s 4
 
4.3%
r 3
 
3.2%
R 3
 
3.2%
Other values (19) 26
28.0%
Common
ValueCountFrequency (%)
16
38.1%
( 10
23.8%
) 10
23.8%
2 2
 
4.8%
+ 1
 
2.4%
3 1
 
2.4%
- 1
 
2.4%
1 1
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 974
87.8%
ASCII 135
 
12.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
기 114
 
11.7%
공 113
 
11.6%
소 113
 
11.6%
치 110
 
11.3%
과 109
 
11.2%
이 31
 
3.2%
스 23
 
2.4%
덴 16
 
1.6%
탈 12
 
1.2%
인 11
 
1.1%
Other values (138) 322
33.1%
ASCII
ValueCountFrequency (%)
e 16
 
11.9%
16
 
11.9%
( 10
 
7.4%
n 10
 
7.4%
) 10
 
7.4%
t 8
 
5.9%
l 6
 
4.4%
a 6
 
4.4%
D 6
 
4.4%
B 5
 
3.7%
Other values (27) 42
31.1%

최종수정일자
Date

UNIQUE 

Distinct130
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Minimum2009-04-29 14:29:16
Maximum2024-03-22 14:25:21
2024-05-11T14:49:28.302485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:49:28.506771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
I
86 
U
44 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 86
66.2%
U 44
33.8%

Length

2024-05-11T14:49:28.667269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:49:28.789304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 86
66.2%
u 44
33.8%

데이터갱신일자
Date

Distinct40
Distinct (%)30.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-02 22:04:00
2024-05-11T14:49:28.914073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:49:29.143264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing130
Missing (%)100.0%
Memory size1.3 KiB

좌표정보(X)
Real number (ℝ)

Distinct106
Distinct (%)82.2%
Missing1
Missing (%)0.8%
Infinite0
Infinite (%)0.0%
Mean203215.25
Minimum201640.07
Maximum208666.19
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-05-11T14:49:29.407931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum201640.07
5-th percentile201723.08
Q1202221.02
median202989.34
Q3204044.92
95-th percentile204979.59
Maximum208666.19
Range7026.1269
Interquartile range (IQR)1823.8925

Descriptive statistics

Standard deviation1267.6299
Coefficient of variation (CV)0.0062378679
Kurtosis2.5973366
Mean203215.25
Median Absolute Deviation (MAD)877.21647
Skewness1.2806568
Sum26214768
Variance1606885.6
MonotonicityNot monotonic
2024-05-11T14:49:29.717592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
201807.237923312 5
 
3.8%
204796.044435475 3
 
2.3%
204000.666058448 3
 
2.3%
203478.583672077 3
 
2.3%
204808.960746173 2
 
1.5%
203174.298049985 2
 
1.5%
203359.496312367 2
 
1.5%
203504.279001895 2
 
1.5%
201641.741382771 2
 
1.5%
202933.962252313 2
 
1.5%
Other values (96) 103
79.2%
ValueCountFrequency (%)
201640.067533451 1
 
0.8%
201641.741382771 2
 
1.5%
201653.207482566 1
 
0.8%
201692.452010284 1
 
0.8%
201697.581570062 1
 
0.8%
201715.285542746 1
 
0.8%
201734.783350231 1
 
0.8%
201749.456413619 2
 
1.5%
201807.237923312 5
3.8%
201810.782530311 1
 
0.8%
ValueCountFrequency (%)
208666.194410648 1
0.8%
207348.97 1
0.8%
207182.470516884 1
0.8%
206324.86718443 1
0.8%
205685.937370734 1
0.8%
205152.560111648 1
0.8%
204979.945 1
0.8%
204979.055998352 1
0.8%
204914.182421355 1
0.8%
204808.960746173 2
1.5%

좌표정보(Y)
Real number (ℝ)

Distinct106
Distinct (%)82.2%
Missing1
Missing (%)0.8%
Infinite0
Infinite (%)0.0%
Mean445109.56
Minimum440614.37
Maximum447258.09
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-05-11T14:49:29.977144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum440614.37
5-th percentile443079.57
Q1444313.99
median444861.95
Q3446233.59
95-th percentile446889
Maximum447258.09
Range6643.7161
Interquartile range (IQR)1919.6068

Descriptive statistics

Standard deviation1347.9158
Coefficient of variation (CV)0.0030282787
Kurtosis0.12856584
Mean445109.56
Median Absolute Deviation (MAD)1233.9699
Skewness-0.57288728
Sum57419133
Variance1816876.9
MonotonicityNot monotonic
2024-05-11T14:49:30.217301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
446164.399195712 5
 
3.8%
444817.976912806 3
 
2.3%
444726.043653911 3
 
2.3%
444358.311754254 3
 
2.3%
446589.329345465 2
 
1.5%
444467.544623125 2
 
1.5%
446065.989722453 2
 
1.5%
443769.38050993 2
 
1.5%
446583.441844496 2
 
1.5%
443542.428537582 2
 
1.5%
Other values (96) 103
79.2%
ValueCountFrequency (%)
440614.372755433 1
0.8%
441298.354779877 1
0.8%
441650.202219746 1
0.8%
442525.776567355 1
0.8%
442566.652357126 1
0.8%
442588.238513541 1
0.8%
443019.043050024 1
0.8%
443170.367977601 2
1.5%
443207.528659777 1
0.8%
443296.019938567 1
0.8%
ValueCountFrequency (%)
447258.0889041 1
0.8%
447221.69432852 1
0.8%
447126.432589574 1
0.8%
446995.869173028 1
0.8%
446985.239149716 1
0.8%
446927.831971721 1
0.8%
446925.21078817 1
0.8%
446834.685384972 1
0.8%
446792.892039443 1
0.8%
446769.645329232 1
0.8%

기공용레스수
Categorical

IMBALANCE 

Distinct4
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
1
102 
<NA>
23 
2
 
4
3
 
1

Length

Max length4
Median length1
Mean length1.5307692
Min length1

Unique

Unique1 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
1 102
78.5%
<NA> 23
 
17.7%
2 4
 
3.1%
3 1
 
0.8%

Length

2024-05-11T14:49:30.437724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:49:30.616552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 102
78.5%
na 23
 
17.7%
2 4
 
3.1%
3 1
 
0.8%

원심주조기수
Categorical

IMBALANCE 

Distinct4
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
1
101 
<NA>
23 
2
 
5
3
 
1

Length

Max length4
Median length1
Mean length1.5307692
Min length1

Unique

Unique1 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
1 101
77.7%
<NA> 23
 
17.7%
2 5
 
3.8%
3 1
 
0.8%

Length

2024-05-11T14:49:30.774604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:49:30.955567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 101
77.7%
na 23
 
17.7%
2 5
 
3.8%
3 1
 
0.8%

기공용모터수
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)10.3%
Missing23
Missing (%)17.7%
Infinite0
Infinite (%)0.0%
Mean3.5327103
Minimum2
Maximum16
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-05-11T14:49:31.106882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q12
median3
Q34
95-th percentile8
Maximum16
Range14
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.3804144
Coefficient of variation (CV)0.67382101
Kurtosis10.860596
Mean3.5327103
Median Absolute Deviation (MAD)1
Skewness2.992744
Sum378
Variance5.6663728
MonotonicityNot monotonic
2024-05-11T14:49:31.298359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
2 43
33.1%
3 29
22.3%
4 16
 
12.3%
5 9
 
6.9%
8 3
 
2.3%
7 2
 
1.5%
10 1
 
0.8%
14 1
 
0.8%
16 1
 
0.8%
6 1
 
0.8%
(Missing) 23
17.7%
ValueCountFrequency (%)
2 43
33.1%
3 29
22.3%
4 16
 
12.3%
5 9
 
6.9%
6 1
 
0.8%
7 2
 
1.5%
8 3
 
2.3%
10 1
 
0.8%
12 1
 
0.8%
14 1
 
0.8%
ValueCountFrequency (%)
16 1
 
0.8%
14 1
 
0.8%
12 1
 
0.8%
10 1
 
0.8%
8 3
 
2.3%
7 2
 
1.5%
6 1
 
0.8%
5 9
 
6.9%
4 16
12.3%
3 29
22.3%

아세틸렌수
Categorical

IMBALANCE 

Distinct5
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
1
102 
<NA>
23 
0
 
3
7
 
1
2
 
1

Length

Max length4
Median length1
Mean length1.5307692
Min length1

Unique

Unique2 ?
Unique (%)1.5%

Sample

1st row1
2nd row1
3rd row1
4th row7
5th row1

Common Values

ValueCountFrequency (%)
1 102
78.5%
<NA> 23
 
17.7%
0 3
 
2.3%
7 1
 
0.8%
2 1
 
0.8%

Length

2024-05-11T14:49:31.564678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:49:31.841540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 102
78.5%
na 23
 
17.7%
0 3
 
2.3%
7 1
 
0.8%
2 1
 
0.8%

치과용프레스수
Categorical

IMBALANCE 

Distinct4
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
1
103 
<NA>
23 
2
 
3
9
 
1

Length

Max length4
Median length1
Mean length1.5307692
Min length1

Unique

Unique1 ?
Unique (%)0.8%

Sample

1st row1
2nd row1
3rd row1
4th row9
5th row1

Common Values

ValueCountFrequency (%)
1 103
79.2%
<NA> 23
 
17.7%
2 3
 
2.3%
9 1
 
0.8%

Length

2024-05-11T14:49:32.054266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:49:32.228963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 103
79.2%
na 23
 
17.7%
2 3
 
2.3%
9 1
 
0.8%

전기로수
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)5.6%
Missing23
Missing (%)17.7%
Infinite0
Infinite (%)0.0%
Mean1.4205607
Minimum1
Maximum11
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-05-11T14:49:32.394524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31.5
95-th percentile3
Maximum11
Range10
Interquartile range (IQR)0.5

Descriptive statistics

Standard deviation1.1577253
Coefficient of variation (CV)0.81497771
Kurtosis45.03314
Mean1.4205607
Median Absolute Deviation (MAD)0
Skewness5.9215223
Sum152
Variance1.340328
MonotonicityNot monotonic
2024-05-11T14:49:32.558750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 80
61.5%
2 20
 
15.4%
3 4
 
3.1%
11 1
 
0.8%
5 1
 
0.8%
4 1
 
0.8%
(Missing) 23
 
17.7%
ValueCountFrequency (%)
1 80
61.5%
2 20
 
15.4%
3 4
 
3.1%
4 1
 
0.8%
5 1
 
0.8%
11 1
 
0.8%
ValueCountFrequency (%)
11 1
 
0.8%
5 1
 
0.8%
4 1
 
0.8%
3 4
 
3.1%
2 20
 
15.4%
1 80
61.5%

포셀린로수
Categorical

Distinct6
Distinct (%)4.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
1
73 
<NA>
23 
2
18 
3
9 
4
 
5

Length

Max length4
Median length1
Mean length1.5307692
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 73
56.2%
<NA> 23
 
17.7%
2 18
 
13.8%
3 9
 
6.9%
4 5
 
3.8%
5 2
 
1.5%

Length

2024-05-11T14:49:32.761509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:49:32.955599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 73
56.2%
na 23
 
17.7%
2 18
 
13.8%
3 9
 
6.9%
4 5
 
3.8%
5 2
 
1.5%

초음파청소기수
Categorical

IMBALANCE 

Distinct5
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
1
100 
<NA>
23 
2
 
5
4
 
1
3
 
1

Length

Max length4
Median length1
Mean length1.5307692
Min length1

Unique

Unique2 ?
Unique (%)1.5%

Sample

1st row1
2nd row1
3rd row1
4th row4
5th row1

Common Values

ValueCountFrequency (%)
1 100
76.9%
<NA> 23
 
17.7%
2 5
 
3.8%
4 1
 
0.8%
3 1
 
0.8%

Length

2024-05-11T14:49:33.184591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:49:33.400971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 100
76.9%
na 23
 
17.7%
2 5
 
3.8%
4 1
 
0.8%
3 1
 
0.8%

서베이어수
Categorical

IMBALANCE 

Distinct6
Distinct (%)4.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
1
96 
<NA>
23 
2
 
7
3
 
2
6
 
1

Length

Max length4
Median length1
Mean length1.5307692
Min length1

Unique

Unique2 ?
Unique (%)1.5%

Sample

1st row1
2nd row1
3rd row1
4th row6
5th row1

Common Values

ValueCountFrequency (%)
1 96
73.8%
<NA> 23
 
17.7%
2 7
 
5.4%
3 2
 
1.5%
6 1
 
0.8%
4 1
 
0.8%

Length

2024-05-11T14:49:33.620215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:49:34.224562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 96
73.8%
na 23
 
17.7%
2 7
 
5.4%
3 2
 
1.5%
6 1
 
0.8%
4 1
 
0.8%

진동기수
Categorical

IMBALANCE 

Distinct5
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
1
98 
<NA>
23 
2
 
7
8
 
1
3
 
1

Length

Max length4
Median length1
Mean length1.5307692
Min length1

Unique

Unique2 ?
Unique (%)1.5%

Sample

1st row1
2nd row1
3rd row1
4th row8
5th row1

Common Values

ValueCountFrequency (%)
1 98
75.4%
<NA> 23
 
17.7%
2 7
 
5.4%
8 1
 
0.8%
3 1
 
0.8%

Length

2024-05-11T14:49:34.434315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:49:34.625608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 98
75.4%
na 23
 
17.7%
2 7
 
5.4%
8 1
 
0.8%
3 1
 
0.8%

트리머수
Categorical

IMBALANCE 

Distinct5
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
1
102 
<NA>
23 
2
 
3
10
 
1
3
 
1

Length

Max length4
Median length1
Mean length1.5384615
Min length1

Unique

Unique2 ?
Unique (%)1.5%

Sample

1st row1
2nd row1
3rd row1
4th row10
5th row1

Common Values

ValueCountFrequency (%)
1 102
78.5%
<NA> 23
 
17.7%
2 3
 
2.3%
10 1
 
0.8%
3 1
 
0.8%

Length

2024-05-11T14:49:34.838654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:49:35.033889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 102
78.5%
na 23
 
17.7%
2 3
 
2.3%
10 1
 
0.8%
3 1
 
0.8%

기공용컴프레서수
Categorical

Distinct4
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
1
69 
<NA>
53 
2
7 
3
 
1

Length

Max length4
Median length1
Mean length2.2230769
Min length1

Unique

Unique1 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
1 69
53.1%
<NA> 53
40.8%
2 7
 
5.4%
3 1
 
0.8%

Length

2024-05-11T14:49:35.275014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:49:35.486867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 69
53.1%
na 53
40.8%
2 7
 
5.4%
3 1
 
0.8%

샌드기수
Categorical

Distinct4
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
1
71 
<NA>
53 
2
 
5
3
 
1

Length

Max length4
Median length1
Mean length2.2230769
Min length1

Unique

Unique1 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
1 71
54.6%
<NA> 53
40.8%
2 5
 
3.8%
3 1
 
0.8%

Length

2024-05-11T14:49:35.683833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:49:35.876130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 71
54.6%
na 53
40.8%
2 5
 
3.8%
3 1
 
0.8%

진공매몰기수
Categorical

IMBALANCE 

Distinct5
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
1
74 
<NA>
53 
4
 
1
3
 
1
2
 
1

Length

Max length4
Median length1
Mean length2.2230769
Min length1

Unique

Unique3 ?
Unique (%)2.3%

Sample

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

Common Values

ValueCountFrequency (%)
1 74
56.9%
<NA> 53
40.8%
4 1
 
0.8%
3 1
 
0.8%
2 1
 
0.8%

Length

2024-05-11T14:49:36.130405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:49:36.433503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 74
56.9%
na 53
40.8%
4 1
 
0.8%
3 1
 
0.8%
2 1
 
0.8%

핀덱스수
Categorical

Distinct3
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
1
74 
<NA>
53 
2
 
3

Length

Max length4
Median length1
Mean length2.2230769
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 74
56.9%
<NA> 53
40.8%
2 3
 
2.3%

Length

2024-05-11T14:49:36.640208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:49:36.813925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 74
56.9%
na 53
40.8%
2 3
 
2.3%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)기공용레스수원심주조기수기공용모터수아세틸렌수치과용프레스수전기로수포셀린로수초음파청소기수서베이어수진동기수트리머수기공용컴프레서수샌드기수진공매몰기수핀덱스수
03220000PHMB31981322003306230000119810114<NA>3폐업3폐업20100831<NA><NA><NA><NA><NA>135281서울특별시 강남구 대치1동 897번지 해창빌딩 3층 302호서울특별시 강남구 선릉로 424 (대치동,해창빌딩 3층 302호)<NA>샵치과기공소2010-09-06 16:43:55I2018-08-31 23:59:59.0<NA>204358.768922444520.57671711211111111<NA><NA><NA><NA>
13220000PHMB31984322003306230000119840929<NA>3폐업3폐업20170814<NA><NA><NA>553-4915<NA>135081서울특별시 강남구 역삼1동 708번지 25호 씨알빌딩 505호서울특별시 강남구 선릉로89길 7, 505호 (역삼동, 씨알빌딩 )6212한강치과기공소2017-08-14 16:10:00I2018-08-31 23:59:59.0<NA>204243.5444581.82112111111111111
23220000PHMB31986322003306230000119860630<NA>3폐업3폐업20090707<NA><NA><NA>548-7590~1<NA>135011서울특별시 강남구 논현1동 49번지 9호 금성3층서울특별시 강남구 학동로1길 19 (논현동,금성3층)<NA>덴토피아치과기공소2009-07-08 16:02:02I2018-08-31 23:59:59.0<NA>201839.347645445606.81216411211111111<NA><NA><NA><NA>
33220000PHMB31988322003306230000119881011<NA>3폐업3폐업20161208<NA><NA><NA><NA><NA>135120서울특별시 강남구 신사동 636번지 3호서울특별시 강남구 언주로172길 8-4 (신사동)6017한치과기공소2021-06-04 10:12:57U2021-06-06 02:40:00.0<NA>202950.162438447258.08890413579112468101111
43220000PHMB31992322003306230000119920926<NA>1영업/정상13영업중<NA><NA><NA><NA>552-9503<NA>135843서울특별시 강남구 대치4동 921번지 5호 2층서울특별시 강남구 선릉로 328, 2층 (대치동)6199신원치과기공소2012-02-21 16:53:57I2018-08-31 23:59:59.0<NA>204522.331494444095.733787112111111111111
53220000PHMB31993322003306230000119930726<NA>1영업/정상13영업중<NA><NA><NA><NA>02-518-4240<NA>135887서울특별시 강남구 신사동 514번지 4호 은석빌딩 5층서울특별시 강남구 강남대로152길 28, 5층 (신사동, 은석빌딩)6035미래치과기공소2021-10-21 15:04:30U2021-10-23 02:40:00.0<NA>201849.459882446154.745966228122412311212
63220000PHMB31996322003306230000119960316<NA>1영업/정상13영업중<NA><NA><NA><NA>541-4917<NA><NA>서울특별시 강남구 신사동 511번지 18호서울특별시 강남구 강남대로154길 11 (신사동)6035베스트라인(Bestline)치과기공소2019-06-05 11:47:05U2019-06-07 02:40:00.0<NA>201715.285543446169.757485112111111111111
73220000PHMB31996322003306230000219960716<NA>3폐업3폐업20170516<NA><NA><NA>518-2876<NA>135011서울특별시 강남구 논현1동 131번지 23호서울특별시 강남구 학동로26길 25 (논현동)6112인테크치과기공소2017-05-18 15:00:35I2018-08-31 23:59:59.0<NA>202598.342506445507.115575112111111111111
83220000PHMB31999322003306230000119990118<NA>3폐업3폐업20170217<NA><NA><NA>34617602<NA>135271서울특별시 강남구 도곡1동 957번지 4호 태강4층서울특별시 강남구 강남대로42길 18 (도곡동, 태강4층)6267그린치과기공소2017-02-17 16:10:00I2018-08-31 23:59:59.0<NA>203063.43609442566.652357112111111111111
93220000PHMB31999322003306230000219990920<NA>3폐업3폐업20171231<NA><NA><NA>574-1467<NA>135271서울특별시 강남구 도곡1동 954번지 12호 202호서울특별시 강남구 강남대로42길 11, 202호 (도곡동)6267두원치과기공소2018-01-04 13:49:06I2018-08-31 23:59:59.0<NA>203018.416679442588.238514112111111111111
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)기공용레스수원심주조기수기공용모터수아세틸렌수치과용프레스수전기로수포셀린로수초음파청소기수서베이어수진동기수트리머수기공용컴프레서수샌드기수진공매몰기수핀덱스수
1203220000PHMB3202132200330623000022021-07-16<NA>1영업/정상13영업중2021-07-16<NA><NA><NA>544-2877<NA><NA>서울특별시 강남구 역삼동 769-7 동아빌딩서울특별시 강남구 역삼로 212, 동아빌딩 (역삼동)6227넥스트원2023-04-11 21:14:20U2022-12-03 23:03:00.0<NA>203504.279002443769.38051<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1213220000PHMB32021322003306230000320171227<NA>1영업/정상13영업중<NA><NA><NA><NA>02-31539124<NA><NA>서울특별시 강남구 논현동 42-7서울특별시 강남구 강남대로132길 59, 3층 (논현동)6045오랄디자인서울2021-11-05 16:30:15I2021-11-07 00:22:45.0<NA>202215.282795445698.726213114011211111111
1223220000PHMB3202232200330623000012022-04-08<NA>5제외/삭제/전출15전출<NA><NA><NA><NA>02-553-5548<NA><NA>서울특별시 강남구 대치동 891-41서울특별시 강남구 선릉로90길 72(대치동)6194엠엔디굿모닝2023-06-02 11:17:46U2022-12-06 00:04:00.0<NA>204796.044435444817.976913<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1233220000PHMB32022322003306230000220220419<NA>5제외/삭제/전출15전출<NA><NA><NA><NA><NA><NA>06314<NA>서울특별시 강남구 논현로10길 28(개포동)6314RB덴탈2022-11-24 10:06:50U2021-10-31 22:06:00.0<NA>206324.867184443333.098196<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1243220000PHMB3202232200330623000032022-04-22<NA>1영업/정상13영업중<NA><NA><NA><NA>6217-2875<NA><NA>서울특별시 강남구 역삼동 814-6 스타플렉스서울특별시 강남구 강남대로 438, 스타플렉스 14층 (역삼동)6123원랩2023-05-22 16:28:09U2022-12-04 22:04:00.0<NA>202262.457856444382.54226<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1253220000PHMB3202232200330623000042022-06-17<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 청담동 72-7 W TOWER서울특별시 강남구 영동대로 701, W TOWER (청담동)6072디지털N기공소2023-04-11 21:16:08U2022-12-03 23:03:00.0<NA>204914.182421446437.796846<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1263220000PHMB32022322003306230000520221117<NA>5제외/삭제/전출15전출<NA><NA><NA><NA>15222875<NA><NA>서울특별시 강남구 신사동 514-22서울특별시 강남구 강남대로152길 22, b동 4층 (신사동)6035플란치과기공소2022-11-24 10:33:19U2021-10-31 22:06:00.0<NA>201810.78253446133.836142<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1273220000PHMB3202332200330623000012023-09-15<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>06031<NA>서울특별시 강남구 논현로163길 13-5, 2층 (신사동)6031라라치과기공소2023-09-15 16:40:19I2022-12-08 23:07:00.0<NA>202321.981225446834.685385<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1283220000PHMB3202432200330623000012024-01-242024-01-245제외/삭제/전출99삭제<NA><NA><NA><NA>070-8633-1045<NA><NA>서울특별시 강남구 역삼동 839-10 정호빌딩서울특별시 강남구 도곡로 133, 정호빌딩 (역삼동)6254큐브세븐틴2024-01-24 19:36:52I2023-11-30 22:07:00.0<NA>202989.342361443170.367978<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1293220000PHMB3202432200330623000022024-01-24<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 도곡로 133, 정호빌딩 (역삼동)6254큐브세븐틴2024-01-25 16:41:40I2023-11-30 22:07:00.0<NA>202989.342361443170.367978<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>