Overview

Dataset statistics

Number of variables40
Number of observations70
Missing cells488
Missing cells (%)17.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory23.8 KiB
Average record size in memory348.9 B

Variable types

Categorical21
Text6
DateTime4
Unsupported6
Numeric3

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
Author동작구
URLhttps://data.seoul.go.kr/dataList/OA-16473/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
전기로수 is highly imbalanced (51.3%)Imbalance
인허가취소일자 has 70 (100.0%) missing valuesMissing
폐업일자 has 24 (34.3%) missing valuesMissing
휴업시작일자 has 70 (100.0%) missing valuesMissing
휴업종료일자 has 70 (100.0%) missing valuesMissing
재개업일자 has 70 (100.0%) missing valuesMissing
전화번호 has 13 (18.6%) missing valuesMissing
소재지면적 has 70 (100.0%) missing valuesMissing
소재지우편번호 has 19 (27.1%) missing valuesMissing
도로명주소 has 1 (1.4%) missing valuesMissing
도로명우편번호 has 11 (15.7%) missing valuesMissing
업태구분명 has 70 (100.0%) 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 started2024-05-11 06:58:53.824466
Analysis finished2024-05-11 06:58:54.739024
Duration0.91 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size692.0 B
3190000
70 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3190000
2nd row3190000
3rd row3190000
4th row3190000
5th row3190000

Common Values

ValueCountFrequency (%)
3190000 70
100.0%

Length

2024-05-11T15:58:54.859232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:58:55.040860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3190000 70
100.0%

관리번호
Text

UNIQUE 

Distinct70
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size692.0 B
2024-05-11T15:58:55.347814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters1750
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

Unique70 ?
Unique (%)100.0%

Sample

1st rowPHMB319783190033062300001
2nd rowPHMB319823190033062300001
3rd rowPHMB319923190033062300001
4th rowPHMB319933190033062300001
5th rowPHMB319933190033062300002
ValueCountFrequency (%)
phmb319783190033062300001 1
 
1.4%
phmb320103190033062300002 1
 
1.4%
phmb320113190033062300002 1
 
1.4%
phmb320113190033062300001 1
 
1.4%
phmb320103190033062300006 1
 
1.4%
phmb320103190033062300005 1
 
1.4%
phmb320103190033062300004 1
 
1.4%
phmb320143190033062300002 1
 
1.4%
phmb320103190033062300001 1
 
1.4%
phmb320123190033062300001 1
 
1.4%
Other values (60) 60
85.7%
2024-05-11T15:58:55.829745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 595
34.0%
3 367
21.0%
2 158
 
9.0%
1 135
 
7.7%
9 92
 
5.3%
6 83
 
4.7%
P 70
 
4.0%
H 70
 
4.0%
M 70
 
4.0%
B 70
 
4.0%
Other values (4) 40
 
2.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1470
84.0%
Uppercase Letter 280
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 595
40.5%
3 367
25.0%
2 158
 
10.7%
1 135
 
9.2%
9 92
 
6.3%
6 83
 
5.6%
4 13
 
0.9%
5 12
 
0.8%
8 9
 
0.6%
7 6
 
0.4%
Uppercase Letter
ValueCountFrequency (%)
P 70
25.0%
H 70
25.0%
M 70
25.0%
B 70
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1470
84.0%
Latin 280
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 595
40.5%
3 367
25.0%
2 158
 
10.7%
1 135
 
9.2%
9 92
 
6.3%
6 83
 
5.6%
4 13
 
0.9%
5 12
 
0.8%
8 9
 
0.6%
7 6
 
0.4%
Latin
ValueCountFrequency (%)
P 70
25.0%
H 70
25.0%
M 70
25.0%
B 70
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1750
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 595
34.0%
3 367
21.0%
2 158
 
9.0%
1 135
 
7.7%
9 92
 
5.3%
6 83
 
4.7%
P 70
 
4.0%
H 70
 
4.0%
M 70
 
4.0%
B 70
 
4.0%
Other values (4) 40
 
2.3%

인허가일자
Date

Distinct69
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Memory size692.0 B
Minimum1978-07-04 00:00:00
Maximum2022-04-25 00:00:00
2024-05-11T15:58:56.060641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:58:56.292220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing70
Missing (%)100.0%
Memory size762.0 B

영업상태코드
Categorical

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size692.0 B
3
46 
1
24 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 46
65.7%
1 24
34.3%

Length

2024-05-11T15:58:56.551785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:58:56.760893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 46
65.7%
1 24
34.3%

영업상태명
Categorical

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size692.0 B
폐업
46 
영업/정상
24 

Length

Max length5
Median length2
Mean length3.0285714
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 46
65.7%
영업/정상 24
34.3%

Length

2024-05-11T15:58:56.941119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:58:57.142292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 46
65.7%
영업/정상 24
34.3%

상세영업상태코드
Categorical

Distinct3
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size692.0 B
3
46 
13
23 
11
 
1

Length

Max length2
Median length1
Mean length1.3428571
Min length1

Unique

Unique1 ?
Unique (%)1.4%

Sample

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

Common Values

ValueCountFrequency (%)
3 46
65.7%
13 23
32.9%
11 1
 
1.4%

Length

2024-05-11T15:58:57.662927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:58:57.821216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 46
65.7%
13 23
32.9%
11 1
 
1.4%

상세영업상태명
Categorical

Distinct3
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size692.0 B
폐업
46 
영업중
23 
양도양수
 
1

Length

Max length4
Median length2
Mean length2.3571429
Min length2

Unique

Unique1 ?
Unique (%)1.4%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 46
65.7%
영업중 23
32.9%
양도양수 1
 
1.4%

Length

2024-05-11T15:58:58.013701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:58:58.206938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 46
65.7%
영업중 23
32.9%
양도양수 1
 
1.4%

폐업일자
Date

MISSING 

Distinct44
Distinct (%)95.7%
Missing24
Missing (%)34.3%
Memory size692.0 B
Minimum2004-11-08 00:00:00
Maximum2024-04-29 00:00:00
2024-05-11T15:58:58.392391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:58:58.615471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing70
Missing (%)100.0%
Memory size762.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing70
Missing (%)100.0%
Memory size762.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing70
Missing (%)100.0%
Memory size762.0 B

전화번호
Text

MISSING 

Distinct53
Distinct (%)93.0%
Missing13
Missing (%)18.6%
Memory size692.0 B
2024-05-11T15:58:59.066047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length8
Mean length8.6140351
Min length8

Characters and Unicode

Total characters491
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

Unique49 ?
Unique (%)86.0%

Sample

1st row815-9304
2nd row814-0332
3rd row824-1358
4th row02-3474-3160
5th row821-5989
ValueCountFrequency (%)
542-2885 2
 
3.5%
588-2204 2
 
3.5%
3481-2863 2
 
3.5%
3280-0157 2
 
3.5%
3477-2842 1
 
1.8%
025212847 1
 
1.8%
597-7528 1
 
1.8%
6404-2803 1
 
1.8%
592-2866 1
 
1.8%
836-2240 1
 
1.8%
Other values (43) 43
75.4%
2024-05-11T15:58:59.664219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 76
15.5%
8 75
15.3%
- 62
12.6%
5 51
10.4%
4 44
9.0%
3 43
8.8%
0 39
7.9%
1 26
 
5.3%
7 26
 
5.3%
9 25
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 429
87.4%
Dash Punctuation 62
 
12.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 76
17.7%
8 75
17.5%
5 51
11.9%
4 44
10.3%
3 43
10.0%
0 39
9.1%
1 26
 
6.1%
7 26
 
6.1%
9 25
 
5.8%
6 24
 
5.6%
Dash Punctuation
ValueCountFrequency (%)
- 62
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 491
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 76
15.5%
8 75
15.3%
- 62
12.6%
5 51
10.4%
4 44
9.0%
3 43
8.8%
0 39
7.9%
1 26
 
5.3%
7 26
 
5.3%
9 25
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 491
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 76
15.5%
8 75
15.3%
- 62
12.6%
5 51
10.4%
4 44
9.0%
3 43
8.8%
0 39
7.9%
1 26
 
5.3%
7 26
 
5.3%
9 25
 
5.1%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing70
Missing (%)100.0%
Memory size762.0 B

소재지우편번호
Text

MISSING 

Distinct31
Distinct (%)60.8%
Missing19
Missing (%)27.1%
Memory size692.0 B
2024-05-11T15:58:59.923557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0784314
Min length6

Characters and Unicode

Total characters310
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

Unique21 ?
Unique (%)41.2%

Sample

1st row156-804
2nd row156716
3rd row156825
4th row156032
5th row156091
ValueCountFrequency (%)
156091 5
 
9.8%
156032 4
 
7.8%
156821 3
 
5.9%
156825 3
 
5.9%
156819 3
 
5.9%
156839 3
 
5.9%
156095 3
 
5.9%
156811 2
 
3.9%
156817 2
 
3.9%
156816 2
 
3.9%
Other values (21) 21
41.2%
2024-05-11T15:59:00.390562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 76
24.5%
5 60
19.4%
6 55
17.7%
8 32
10.3%
0 22
 
7.1%
9 19
 
6.1%
2 18
 
5.8%
3 15
 
4.8%
7 6
 
1.9%
- 4
 
1.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 306
98.7%
Dash Punctuation 4
 
1.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 76
24.8%
5 60
19.6%
6 55
18.0%
8 32
10.5%
0 22
 
7.2%
9 19
 
6.2%
2 18
 
5.9%
3 15
 
4.9%
7 6
 
2.0%
4 3
 
1.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 310
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 76
24.5%
5 60
19.4%
6 55
17.7%
8 32
10.3%
0 22
 
7.1%
9 19
 
6.1%
2 18
 
5.8%
3 15
 
4.8%
7 6
 
1.9%
- 4
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 310
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 76
24.5%
5 60
19.4%
6 55
17.7%
8 32
10.3%
0 22
 
7.1%
9 19
 
6.1%
2 18
 
5.8%
3 15
 
4.8%
7 6
 
1.9%
- 4
 
1.3%

지번주소
Text

Distinct69
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Memory size692.0 B
2024-05-11T15:59:00.872829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length32
Mean length26.114286
Min length19

Characters and Unicode

Total characters1828
Distinct characters79
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

Unique68 ?
Unique (%)97.1%

Sample

1st row서울특별시 동작구 노량진2동 275번지 1호
2nd row서울특별시 동작구 상도2동 211번지 386호 (2층)
3rd row서울특별시 동작구 상도동 214번지 292호 2층
4th row서울특별시 동작구 사당1동 1028번지 13호
5th row서울특별시 동작구 상도2동 360번지 16호 (2층)
ValueCountFrequency (%)
서울특별시 70
 
17.9%
동작구 70
 
17.9%
사당동 19
 
4.9%
2층 11
 
2.8%
3층 7
 
1.8%
사당3동 7
 
1.8%
대방동 6
 
1.5%
상도2동 6
 
1.5%
상도동 6
 
1.5%
사당1동 5
 
1.3%
Other values (131) 183
46.9%
2024-05-11T15:59:01.638429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
320
17.5%
동 142
 
7.8%
2 92
 
5.0%
1 91
 
5.0%
작 70
 
3.8%
울 70
 
3.8%
구 70
 
3.8%
서 70
 
3.8%
시 70
 
3.8%
별 70
 
3.8%
Other values (69) 763
41.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1050
57.4%
Decimal Number 424
23.2%
Space Separator 320
 
17.5%
Close Punctuation 9
 
0.5%
Open Punctuation 9
 
0.5%
Dash Punctuation 8
 
0.4%
Lowercase Letter 3
 
0.2%
Uppercase Letter 3
 
0.2%
Other Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 142
13.5%
작 70
 
6.7%
울 70
 
6.7%
구 70
 
6.7%
서 70
 
6.7%
시 70
 
6.7%
별 70
 
6.7%
특 70
 
6.7%
호 68
 
6.5%
지 67
 
6.4%
Other values (47) 283
27.0%
Decimal Number
ValueCountFrequency (%)
2 92
21.7%
1 91
21.5%
3 65
15.3%
4 41
9.7%
0 36
 
8.5%
5 29
 
6.8%
6 23
 
5.4%
7 23
 
5.4%
9 13
 
3.1%
8 11
 
2.6%
Lowercase Letter
ValueCountFrequency (%)
p 1
33.3%
a 1
33.3%
m 1
33.3%
Uppercase Letter
ValueCountFrequency (%)
C 1
33.3%
B 1
33.3%
P 1
33.3%
Other Punctuation
ValueCountFrequency (%)
; 1
50.0%
& 1
50.0%
Space Separator
ValueCountFrequency (%)
320
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1050
57.4%
Common 772
42.2%
Latin 6
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 142
13.5%
작 70
 
6.7%
울 70
 
6.7%
구 70
 
6.7%
서 70
 
6.7%
시 70
 
6.7%
별 70
 
6.7%
특 70
 
6.7%
호 68
 
6.5%
지 67
 
6.4%
Other values (47) 283
27.0%
Common
ValueCountFrequency (%)
320
41.5%
2 92
 
11.9%
1 91
 
11.8%
3 65
 
8.4%
4 41
 
5.3%
0 36
 
4.7%
5 29
 
3.8%
6 23
 
3.0%
7 23
 
3.0%
9 13
 
1.7%
Other values (6) 39
 
5.1%
Latin
ValueCountFrequency (%)
p 1
16.7%
C 1
16.7%
a 1
16.7%
m 1
16.7%
B 1
16.7%
P 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1050
57.4%
ASCII 778
42.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
320
41.1%
2 92
 
11.8%
1 91
 
11.7%
3 65
 
8.4%
4 41
 
5.3%
0 36
 
4.6%
5 29
 
3.7%
6 23
 
3.0%
7 23
 
3.0%
9 13
 
1.7%
Other values (12) 45
 
5.8%
Hangul
ValueCountFrequency (%)
동 142
13.5%
작 70
 
6.7%
울 70
 
6.7%
구 70
 
6.7%
서 70
 
6.7%
시 70
 
6.7%
별 70
 
6.7%
특 70
 
6.7%
호 68
 
6.5%
지 67
 
6.4%
Other values (47) 283
27.0%

도로명주소
Text

MISSING 

Distinct67
Distinct (%)97.1%
Missing1
Missing (%)1.4%
Memory size692.0 B
2024-05-11T15:59:02.049490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length39
Mean length28.217391
Min length22

Characters and Unicode

Total characters1947
Distinct characters83
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

Unique65 ?
Unique (%)94.2%

Sample

1st row서울특별시 동작구 노량진로6길 21 (노량진동)
2nd row서울특별시 동작구 양녕로30길 4 (상도동)
3rd row서울특별시 동작구 양녕로26길 39, 2층 (상도동)
4th row서울특별시 동작구 사당로28길 51 (사당동)
5th row서울특별시 동작구 상도로15카길 9 (상도동)
ValueCountFrequency (%)
서울특별시 69
18.0%
동작구 69
18.0%
사당동 34
 
8.9%
상도동 14
 
3.6%
상도로 9
 
2.3%
대방동 6
 
1.6%
사당로 5
 
1.3%
3층 5
 
1.3%
노량진동 4
 
1.0%
8 4
 
1.0%
Other values (124) 165
43.0%
2024-05-11T15:59:02.650197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
315
 
16.2%
동 151
 
7.8%
작 80
 
4.1%
1 73
 
3.7%
시 71
 
3.6%
서 70
 
3.6%
별 69
 
3.5%
특 69
 
3.5%
구 69
 
3.5%
울 69
 
3.5%
Other values (73) 911
46.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1148
59.0%
Space Separator 315
 
16.2%
Decimal Number 304
 
15.6%
Close Punctuation 69
 
3.5%
Open Punctuation 69
 
3.5%
Other Punctuation 34
 
1.7%
Dash Punctuation 7
 
0.4%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 151
13.2%
작 80
 
7.0%
시 71
 
6.2%
서 70
 
6.1%
별 69
 
6.0%
특 69
 
6.0%
구 69
 
6.0%
울 69
 
6.0%
사 68
 
5.9%
로 65
 
5.7%
Other values (57) 367
32.0%
Decimal Number
ValueCountFrequency (%)
1 73
24.0%
2 50
16.4%
3 34
11.2%
0 34
11.2%
5 26
 
8.6%
6 24
 
7.9%
4 20
 
6.6%
8 20
 
6.6%
7 12
 
3.9%
9 11
 
3.6%
Space Separator
ValueCountFrequency (%)
315
100.0%
Close Punctuation
ValueCountFrequency (%)
) 69
100.0%
Open Punctuation
ValueCountFrequency (%)
( 69
100.0%
Other Punctuation
ValueCountFrequency (%)
, 34
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1148
59.0%
Common 798
41.0%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 151
13.2%
작 80
 
7.0%
시 71
 
6.2%
서 70
 
6.1%
별 69
 
6.0%
특 69
 
6.0%
구 69
 
6.0%
울 69
 
6.0%
사 68
 
5.9%
로 65
 
5.7%
Other values (57) 367
32.0%
Common
ValueCountFrequency (%)
315
39.5%
1 73
 
9.1%
) 69
 
8.6%
( 69
 
8.6%
2 50
 
6.3%
3 34
 
4.3%
0 34
 
4.3%
, 34
 
4.3%
5 26
 
3.3%
6 24
 
3.0%
Other values (5) 70
 
8.8%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1148
59.0%
ASCII 799
41.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
315
39.4%
1 73
 
9.1%
) 69
 
8.6%
( 69
 
8.6%
2 50
 
6.3%
3 34
 
4.3%
0 34
 
4.3%
, 34
 
4.3%
5 26
 
3.3%
6 24
 
3.0%
Other values (6) 71
 
8.9%
Hangul
ValueCountFrequency (%)
동 151
13.2%
작 80
 
7.0%
시 71
 
6.2%
서 70
 
6.1%
별 69
 
6.0%
특 69
 
6.0%
구 69
 
6.0%
울 69
 
6.0%
사 68
 
5.9%
로 65
 
5.7%
Other values (57) 367
32.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct43
Distinct (%)72.9%
Missing11
Missing (%)15.7%
Infinite0
Infinite (%)0.0%
Mean42559.271
Minimum6921
Maximum156879
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size762.0 B
2024-05-11T15:59:02.844664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6921
5-th percentile6930
Q17008
median7025
Q37068.5
95-th percentile156832.9
Maximum156879
Range149958
Interquartile range (IQR)60.5

Descriptive statistics

Standard deviation64282.88
Coefficient of variation (CV)1.5104319
Kurtosis-0.40840252
Mean42559.271
Median Absolute Deviation (MAD)21
Skewness1.2675242
Sum2510997
Variance4.1322887 × 109
MonotonicityNot monotonic
2024-05-11T15:59:03.033154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
7041 7
 
10.0%
7008 5
 
7.1%
7004 3
 
4.3%
7015 3
 
4.3%
7009 2
 
2.9%
6930 2
 
2.9%
156826 1
 
1.4%
156832 1
 
1.4%
7043 1
 
1.4%
7007 1
 
1.4%
Other values (33) 33
47.1%
(Missing) 11
 
15.7%
ValueCountFrequency (%)
6921 1
 
1.4%
6925 1
 
1.4%
6930 2
2.9%
6947 1
 
1.4%
6950 1
 
1.4%
6963 1
 
1.4%
6964 1
 
1.4%
6979 1
 
1.4%
7004 3
4.3%
7005 1
 
1.4%
ValueCountFrequency (%)
156879 1
1.4%
156859 1
1.4%
156841 1
1.4%
156832 1
1.4%
156826 1
1.4%
156824 1
1.4%
156821 1
1.4%
156820 1
1.4%
156819 1
1.4%
156817 1
1.4%

사업장명
Text

Distinct67
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Memory size692.0 B
2024-05-11T15:59:03.309022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length26
Mean length8.6428571
Min length6

Characters and Unicode

Total characters605
Distinct characters139
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

Unique64 ?
Unique (%)91.4%

Sample

1st row한양치과기공소
2nd row신진치과기공소
3rd row모든치과기공소
4th row다모아치과기공소
5th row신도치과기공소
ValueCountFrequency (%)
치과기공소 3
 
3.7%
피엘에스치과기공소 2
 
2.4%
크리에이션치과기공소 2
 
2.4%
장백치과기공소 2
 
2.4%
스타치과기공소 1
 
1.2%
라임치과기공소 1
 
1.2%
피앤씨치과기공소(p&c 1
 
1.2%
사람과사람치과기공소 1
 
1.2%
웰치과기공소 1
 
1.2%
정일치과기공소 1
 
1.2%
Other values (67) 67
81.7%
2024-05-11T15:59:03.822634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
치 70
 
11.6%
과 69
 
11.4%
기 69
 
11.4%
공 69
 
11.4%
소 69
 
11.4%
이 16
 
2.6%
12
 
2.0%
에 8
 
1.3%
피 5
 
0.8%
리 5
 
0.8%
Other values (129) 213
35.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 538
88.9%
Uppercase Letter 38
 
6.3%
Space Separator 12
 
2.0%
Lowercase Letter 10
 
1.7%
Open Punctuation 3
 
0.5%
Close Punctuation 3
 
0.5%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
치 70
13.0%
과 69
12.8%
기 69
12.8%
공 69
12.8%
소 69
12.8%
이 16
 
3.0%
에 8
 
1.5%
피 5
 
0.9%
리 5
 
0.9%
엔 5
 
0.9%
Other values (100) 153
28.4%
Uppercase Letter
ValueCountFrequency (%)
I 4
 
10.5%
C 4
 
10.5%
L 3
 
7.9%
E 3
 
7.9%
N 3
 
7.9%
B 3
 
7.9%
R 2
 
5.3%
A 2
 
5.3%
T 2
 
5.3%
K 2
 
5.3%
Other values (8) 10
26.3%
Lowercase Letter
ValueCountFrequency (%)
e 2
20.0%
t 2
20.0%
a 2
20.0%
n 1
10.0%
l 1
10.0%
s 1
10.0%
r 1
10.0%
Space Separator
ValueCountFrequency (%)
12
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 538
88.9%
Latin 48
 
7.9%
Common 19
 
3.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
치 70
13.0%
과 69
12.8%
기 69
12.8%
공 69
12.8%
소 69
12.8%
이 16
 
3.0%
에 8
 
1.5%
피 5
 
0.9%
리 5
 
0.9%
엔 5
 
0.9%
Other values (100) 153
28.4%
Latin
ValueCountFrequency (%)
I 4
 
8.3%
C 4
 
8.3%
L 3
 
6.2%
E 3
 
6.2%
N 3
 
6.2%
B 3
 
6.2%
R 2
 
4.2%
A 2
 
4.2%
T 2
 
4.2%
K 2
 
4.2%
Other values (15) 20
41.7%
Common
ValueCountFrequency (%)
12
63.2%
( 3
 
15.8%
) 3
 
15.8%
& 1
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 538
88.9%
ASCII 67
 
11.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
치 70
13.0%
과 69
12.8%
기 69
12.8%
공 69
12.8%
소 69
12.8%
이 16
 
3.0%
에 8
 
1.5%
피 5
 
0.9%
리 5
 
0.9%
엔 5
 
0.9%
Other values (100) 153
28.4%
ASCII
ValueCountFrequency (%)
12
17.9%
I 4
 
6.0%
C 4
 
6.0%
( 3
 
4.5%
L 3
 
4.5%
E 3
 
4.5%
N 3
 
4.5%
) 3
 
4.5%
B 3
 
4.5%
R 2
 
3.0%
Other values (19) 27
40.3%

최종수정일자
Date

UNIQUE 

Distinct70
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size692.0 B
Minimum2009-01-06 15:05:17
Maximum2024-05-02 15:31:32
2024-05-11T15:59:03.977385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:59:04.132998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size692.0 B
I
45 
U
25 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 45
64.3%
U 25
35.7%

Length

2024-05-11T15:59:04.338597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:59:04.475733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 45
64.3%
u 25
35.7%

데이터갱신일자
Date

Distinct25
Distinct (%)35.7%
Missing0
Missing (%)0.0%
Memory size692.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:04:00
2024-05-11T15:59:04.612784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:59:04.762668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing70
Missing (%)100.0%
Memory size762.0 B

좌표정보(X)
Real number (ℝ)

Distinct63
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean196140.74
Minimum191803.52
Maximum198324.79
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size762.0 B
2024-05-11T15:59:04.968650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum191803.52
5-th percentile193167.73
Q1194262.5
median197158.64
Q3197992.45
95-th percentile198241.62
Maximum198324.79
Range6521.2675
Interquartile range (IQR)3729.9554

Descriptive statistics

Standard deviation1980.569
Coefficient of variation (CV)0.010097693
Kurtosis-1.3086629
Mean196140.74
Median Absolute Deviation (MAD)1071.0913
Skewness-0.45703475
Sum13729852
Variance3922653.5
MonotonicityNot monotonic
2024-05-11T15:59:05.160978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
194262.495943714 2
 
2.9%
193840.999494624 2
 
2.9%
197445.48675364 2
 
2.9%
198212.129853751 2
 
2.9%
193630.830467519 2
 
2.9%
197496.396766278 2
 
2.9%
194602.497748099 2
 
2.9%
196674.757477809 1
 
1.4%
197308.131642308 1
 
1.4%
193201.56464851 1
 
1.4%
Other values (53) 53
75.7%
ValueCountFrequency (%)
191803.524952767 1
1.4%
191844.497119053 1
1.4%
193048.362266327 1
1.4%
193140.052317678 1
1.4%
193201.56464851 1
1.4%
193418.88021349 1
1.4%
193630.830467519 2
2.9%
193672.515503924 1
1.4%
193738.814700025 1
1.4%
193840.999494624 2
2.9%
ValueCountFrequency (%)
198324.792421368 1
1.4%
198263.227400919 1
1.4%
198249.192413517 1
1.4%
198244.58066852 1
1.4%
198237.995091816 1
1.4%
198221.46029597 1
1.4%
198219.62539711 1
1.4%
198215.511894791 1
1.4%
198212.129853751 2
2.9%
198181.94693414 1
1.4%

좌표정보(Y)
Real number (ℝ)

Distinct63
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean443321.18
Minimum441709.04
Maximum445543.73
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size762.0 B
2024-05-11T15:59:05.346368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum441709.04
5-th percentile441946.24
Q1442498.62
median442869.33
Q3444161.55
95-th percentile445060.54
Maximum445543.73
Range3834.688
Interquartile range (IQR)1662.9353

Descriptive statistics

Standard deviation1078.1072
Coefficient of variation (CV)0.0024318875
Kurtosis-1.1693564
Mean443321.18
Median Absolute Deviation (MAD)844.80421
Skewness0.36929684
Sum31032483
Variance1162315.2
MonotonicityNot monotonic
2024-05-11T15:59:05.512320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
445543.730487292 2
 
2.9%
444174.362542601 2
 
2.9%
442702.548695098 2
 
2.9%
441709.042525728 2
 
2.9%
444104.439546706 2
 
2.9%
442500.614190454 2
 
2.9%
444686.205123655 2
 
2.9%
444647.490518032 1
 
1.4%
442335.922616656 1
 
1.4%
444159.964013585 1
 
1.4%
Other values (53) 53
75.7%
ValueCountFrequency (%)
441709.042525728 2
2.9%
441734.85171904 1
1.4%
441918.147688786 1
1.4%
441980.564865052 1
1.4%
441992.707288004 1
1.4%
442056.352072154 1
1.4%
442078.121696121 1
1.4%
442080.823854193 1
1.4%
442203.30414262 1
1.4%
442294.595260336 1
1.4%
ValueCountFrequency (%)
445543.730487292 2
2.9%
445145.972606206 1
1.4%
445127.332952953 1
1.4%
444978.90686863 1
1.4%
444951.668745395 1
1.4%
444799.687826804 1
1.4%
444752.192275273 1
1.4%
444751.414083942 1
1.4%
444686.205123655 2
2.9%
444647.490518032 1
1.4%

기공용레스수
Categorical

Distinct3
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size692.0 B
1
55 
<NA>
13 
2
 
2

Length

Max length4
Median length1
Mean length1.5571429
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 55
78.6%
<NA> 13
 
18.6%
2 2
 
2.9%

Length

2024-05-11T15:59:05.684605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:59:05.887521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 55
78.6%
na 13
 
18.6%
2 2
 
2.9%

원심주조기수
Categorical

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size692.0 B
1
57 
<NA>
13 

Length

Max length4
Median length1
Mean length1.5571429
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 57
81.4%
<NA> 13
 
18.6%

Length

2024-05-11T15:59:06.060555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:59:06.214921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 57
81.4%
na 13
 
18.6%

기공용모터수
Categorical

Distinct6
Distinct (%)8.6%
Missing0
Missing (%)0.0%
Memory size692.0 B
2
40 
<NA>
13 
3
13 
5
 
2
4
 
1

Length

Max length4
Median length1
Mean length1.5571429
Min length1

Unique

Unique2 ?
Unique (%)2.9%

Sample

1st row<NA>
2nd row2
3rd row3
4th row2
5th row2

Common Values

ValueCountFrequency (%)
2 40
57.1%
<NA> 13
 
18.6%
3 13
 
18.6%
5 2
 
2.9%
4 1
 
1.4%
6 1
 
1.4%

Length

2024-05-11T15:59:06.360375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:59:06.539103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 40
57.1%
na 13
 
18.6%
3 13
 
18.6%
5 2
 
2.9%
4 1
 
1.4%
6 1
 
1.4%

아세틸렌수
Categorical

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size692.0 B
1
57 
<NA>
13 

Length

Max length4
Median length1
Mean length1.5571429
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 57
81.4%
<NA> 13
 
18.6%

Length

2024-05-11T15:59:06.710249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:59:06.843539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 57
81.4%
na 13
 
18.6%

치과용프레스수
Categorical

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size692.0 B
1
57 
<NA>
13 

Length

Max length4
Median length1
Mean length1.5571429
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 57
81.4%
<NA> 13
 
18.6%

Length

2024-05-11T15:59:06.984611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:59:07.139538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 57
81.4%
na 13
 
18.6%

전기로수
Categorical

IMBALANCE 

Distinct4
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size692.0 B
1
54 
<NA>
13 
2
 
2
3
 
1

Length

Max length4
Median length1
Mean length1.5571429
Min length1

Unique

Unique1 ?
Unique (%)1.4%

Sample

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

Common Values

ValueCountFrequency (%)
1 54
77.1%
<NA> 13
 
18.6%
2 2
 
2.9%
3 1
 
1.4%

Length

2024-05-11T15:59:07.294668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:59:07.465646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 54
77.1%
na 13
 
18.6%
2 2
 
2.9%
3 1
 
1.4%

포셀린로수
Categorical

Distinct4
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size692.0 B
1
53 
<NA>
13 
2
 
2
3
 
2

Length

Max length4
Median length1
Mean length1.5571429
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 53
75.7%
<NA> 13
 
18.6%
2 2
 
2.9%
3 2
 
2.9%

Length

2024-05-11T15:59:07.636907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:59:07.826130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 53
75.7%
na 13
 
18.6%
2 2
 
2.9%
3 2
 
2.9%

초음파청소기수
Categorical

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size692.0 B
1
57 
<NA>
13 

Length

Max length4
Median length1
Mean length1.5571429
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 57
81.4%
<NA> 13
 
18.6%

Length

2024-05-11T15:59:07.986176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:59:08.553785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 57
81.4%
na 13
 
18.6%

서베이어수
Categorical

Distinct3
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size692.0 B
1
54 
<NA>
13 
2
 
3

Length

Max length4
Median length1
Mean length1.5571429
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 54
77.1%
<NA> 13
 
18.6%
2 3
 
4.3%

Length

2024-05-11T15:59:08.715453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:59:08.881086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 54
77.1%
na 13
 
18.6%
2 3
 
4.3%

진동기수
Categorical

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size692.0 B
1
57 
<NA>
13 

Length

Max length4
Median length1
Mean length1.5571429
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 57
81.4%
<NA> 13
 
18.6%

Length

2024-05-11T15:59:09.036030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:59:09.185889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 57
81.4%
na 13
 
18.6%

트리머수
Categorical

Distinct3
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size692.0 B
1
56 
<NA>
13 
2
 
1

Length

Max length4
Median length1
Mean length1.5571429
Min length1

Unique

Unique1 ?
Unique (%)1.4%

Sample

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

Common Values

ValueCountFrequency (%)
1 56
80.0%
<NA> 13
 
18.6%
2 1
 
1.4%

Length

2024-05-11T15:59:09.343834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:59:09.535502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 56
80.0%
na 13
 
18.6%
2 1
 
1.4%

기공용컴프레서수
Categorical

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size692.0 B
1
40 
<NA>
30 

Length

Max length4
Median length1
Mean length2.2857143
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 40
57.1%
<NA> 30
42.9%

Length

2024-05-11T15:59:09.710218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:59:09.881133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 40
57.1%
na 30
42.9%

샌드기수
Categorical

Distinct3
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size692.0 B
1
39 
<NA>
30 
2
 
1

Length

Max length4
Median length1
Mean length2.2857143
Min length1

Unique

Unique1 ?
Unique (%)1.4%

Sample

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

Common Values

ValueCountFrequency (%)
1 39
55.7%
<NA> 30
42.9%
2 1
 
1.4%

Length

2024-05-11T15:59:10.061607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:59:10.243524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 39
55.7%
na 30
42.9%
2 1
 
1.4%

진공매몰기수
Categorical

Distinct3
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size692.0 B
1
39 
<NA>
30 
2
 
1

Length

Max length4
Median length1
Mean length2.2857143
Min length1

Unique

Unique1 ?
Unique (%)1.4%

Sample

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

Common Values

ValueCountFrequency (%)
1 39
55.7%
<NA> 30
42.9%
2 1
 
1.4%

Length

2024-05-11T15:59:10.455528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:59:10.661145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 39
55.7%
na 30
42.9%
2 1
 
1.4%

핀덱스수
Categorical

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size692.0 B
1
40 
<NA>
30 

Length

Max length4
Median length1
Mean length2.2857143
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 40
57.1%
<NA> 30
42.9%

Length

2024-05-11T15:59:10.836347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:59:11.009774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 40
57.1%
na 30
42.9%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)기공용레스수원심주조기수기공용모터수아세틸렌수치과용프레스수전기로수포셀린로수초음파청소기수서베이어수진동기수트리머수기공용컴프레서수샌드기수진공매몰기수핀덱스수
03190000PHMB3197831900330623000011978-07-04<NA>3폐업3폐업2024-04-24<NA><NA><NA>815-9304<NA>156-804서울특별시 동작구 노량진2동 275번지 1호서울특별시 동작구 노량진로6길 21 (노량진동)6930한양치과기공소2024-04-24 15:06:10U2023-12-03 22:06:00.0<NA>194262.495944445543.730487<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13190000PHMB31982319003306230000119820325<NA>1영업/정상13영업중<NA><NA><NA><NA>814-0332<NA>156716서울특별시 동작구 상도2동 211번지 386호 (2층)서울특별시 동작구 양녕로30길 4 (상도동)7035신진치과기공소2012-08-28 11:23:40I2018-08-31 23:59:59.0<NA>195022.942102444119.497523112111111111111
23190000PHMB31992319003306230000119920616<NA>3폐업3폐업20201208<NA><NA><NA>824-1358<NA><NA>서울특별시 동작구 상도동 214번지 292호 2층서울특별시 동작구 양녕로26길 39, 2층 (상도동)7037모든치과기공소2020-12-08 16:51:52U2020-12-10 02:40:00.0<NA>194982.734679443838.626484113111211111111
33190000PHMB31993319003306230000119930304<NA>3폐업3폐업20181106<NA><NA><NA>02-3474-3160<NA>156825서울특별시 동작구 사당1동 1028번지 13호서울특별시 동작구 사당로28길 51 (사당동)7015다모아치과기공소2018-11-06 14:42:48U2018-11-08 02:36:01.0<NA>198117.265452441992.707288112111111111111
43190000PHMB31993319003306230000219930427<NA>3폐업3폐업20130802<NA><NA><NA>821-5989<NA>156032서울특별시 동작구 상도2동 360번지 16호 (2층)서울특별시 동작구 상도로15카길 9 (상도동)156832신도치과기공소2013-08-02 17:26:11I2018-08-31 23:59:59.0<NA>194284.944248444752.192275112111111111111
53190000PHMB31994319003306230000119940820<NA>3폐업3폐업20100730<NA><NA><NA>523-9936<NA>156091서울특별시 동작구 사당동 1037번지 18호 2층서울특별시 동작구 동작대로7길 84 (사당동,2층)156826피엘에스치과기공소2010-07-30 16:43:27I2018-08-31 23:59:59.0<NA>197995.651071441734.85171911211111111<NA><NA><NA><NA>
63190000PHMB31995319003306230000119951027<NA>1영업/정상13영업중<NA><NA><NA><NA>599-7804<NA>156819서울특별시 동작구 사당3동 257번지 14호서울특별시 동작구 사당로17다길 5 (사당동)7004이사랑치과기공소2011-11-18 16:53:42I2018-08-31 23:59:59.0<NA>197559.144865442481.29157811211111111<NA><NA><NA><NA>
73190000PHMB31996319003306230000119961010<NA>3폐업3폐업20230103<NA><NA><NA>822-2808<NA><NA>서울특별시 동작구 대방동 333-3 남지빌딩서울특별시 동작구 국사봉1길 3, 남지빌딩 5층 501호 (대방동)7041브이아이피치과기공소2023-01-03 11:52:54U2022-12-01 00:05:00.0<NA>193630.830468444104.439547<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83190000PHMB32000319003306230000120000530<NA>1영업/정상13영업중<NA><NA><NA><NA>824-2430<NA>156839서울특별시 동작구 상도3동 324번지 14호서울특별시 동작구 성대로2길 10 (상도동)7041덴탑치과기공소2019-07-22 10:11:57U2019-07-24 02:40:00.0<NA>193863.860287444141.775508112111111111111
93190000PHMB32000319003306230000220000530<NA>1영업/정상13영업중<NA><NA><NA><NA>821-2825<NA>156831서울특별시 동작구 상도2동 170번지 27호서울특별시 동작구 상도로 204 (상도동)6964매직치과기공소2011-11-17 13:50:39I2018-08-31 23:59:59.0<NA>194740.198466444751.41408411211111111<NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)기공용레스수원심주조기수기공용모터수아세틸렌수치과용프레스수전기로수포셀린로수초음파청소기수서베이어수진동기수트리머수기공용컴프레서수샌드기수진공매몰기수핀덱스수
603190000PHMB32017319003306230000120170407<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동작구 사당동 1032번지 4호서울특별시 동작구 사당로30길 122, 301호 (사당동)7015피엘에스치과기공소2017-04-07 17:40:33I2018-08-31 23:59:59.0<NA>198219.625397441918.147689113111111111111
613190000PHMB32017319003306230000220170523<NA>3폐업3폐업20221124<NA><NA><NA>02-847-2847<NA><NA>서울특별시 동작구 대방동 15번지 17호 4층서울특별시 동작구 여의대방로36길 100-1, 4층 (대방동, 복인하우스)6947타워치과기공소2022-11-24 20:30:26U2021-10-31 22:06:00.0<NA>193873.904007445127.332953<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
623190000PHMB32018319003306230000120180518<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동작구 상도동 325번지 21호 수진세인트빌딩서울특별시 동작구 상도로 94, 수진세인트빌딩 3층 (상도동)7041바이탈치과기공소2018-05-18 10:44:48I2018-08-31 23:59:59.0<NA>193840.999495444174.362543113111111111111
633190000PHMB3201831900330623000022018-08-30<NA>1영업/정상13영업중<NA><NA><NA><NA>025254275<NA><NA>서울특별시 동작구 사당동 138번지 3호 사당동 주상복합서울특별시 동작구 동작대로27다길 26, 203호 (사당동, 사당동 주상복합)7008내이처럼기공소2024-04-15 14:11:13U2023-12-03 23:07:00.0<NA>198181.946934442684.335471<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
643190000PHMB32019319003306230000120190103<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동작구 사당동 252번지 19호서울특별시 동작구 사당로13길 13, 2층 (사당동)7004미소보미치과기공소2019-04-30 10:34:03U2019-05-02 02:40:00.0<NA>197496.396766442500.61419112111111111111
653190000PHMB3201931900330623000022019-03-11<NA>1영업/정상13영업중<NA><NA><NA><NA>025212847<NA><NA>서울특별시 동작구 사당동 141-28 지하1층서울특별시 동작구 동작대로25길 52-13, 지하1층 (사당동)7008엔씨티 코리아 밀링센터(NCT KOREA MILLING CENTER)2024-04-29 11:46:32U2023-12-05 00:01:00.0<NA>198083.70117442539.775036<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
663190000PHMB32020319003306230000220120216<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6348-2804<NA><NA>서울특별시 동작구 대방동 333-3 남지빌딩서울특별시 동작구 국사봉1길 3, 남지빌딩 5층 501-1호 (대방동)7041KB 치과기공소2020-09-03 15:37:43I2020-09-05 00:23:13.0<NA>193630.830468444104.439547112111111111111
673190000PHMB32021319003306230000120210203<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동작구 신대방동 364-2 더룩스 보라매서울특별시 동작구 여의대방로22길 40, 더룩스 보라매 지하1층 (신대방동)7058나노라이너치과기공소2021-04-19 16:58:54U2021-04-21 02:40:00.0<NA>193048.362266443932.255929112111111111111
683190000PHMB3202131900330623000022021-04-15<NA>3폐업3폐업2023-07-13<NA><NA><NA><NA><NA><NA>서울특별시 동작구 사당동 215-10서울특별시 동작구 사당로2차길 64, 1층 101호 (사당동)7030윤치과기공소2024-04-15 14:26:21U2023-12-03 23:07:00.0<NA>197024.680848442655.772158<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
693190000PHMB32022319003306230000120220425<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동작구 사당동 134-3서울특별시 동작구 동작대로 123, 3층 (사당동)7008휴앤디치과기공소2022-04-25 16:36:38I2021-12-03 22:07:00.0<NA>198324.792421442835.258139<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>