Overview

Dataset statistics

Number of variables40
Number of observations95
Missing cells734
Missing cells (%)19.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory32.3 KiB
Average record size in memory348.4 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
Author관악구
URLhttps://data.seoul.go.kr/dataList/OA-16474/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
원심주조기수 is highly imbalanced (58.6%)Imbalance
아세틸렌수 is highly imbalanced (58.6%)Imbalance
진동기수 is highly imbalanced (53.0%)Imbalance
트리머수 is highly imbalanced (53.0%)Imbalance
인허가취소일자 has 95 (100.0%) missing valuesMissing
폐업일자 has 39 (41.1%) missing valuesMissing
휴업시작일자 has 95 (100.0%) missing valuesMissing
휴업종료일자 has 95 (100.0%) missing valuesMissing
재개업일자 has 95 (100.0%) missing valuesMissing
전화번호 has 32 (33.7%) missing valuesMissing
소재지면적 has 95 (100.0%) missing valuesMissing
소재지우편번호 has 44 (46.3%) missing valuesMissing
지번주소 has 8 (8.4%) missing valuesMissing
도로명우편번호 has 27 (28.4%) missing valuesMissing
업태구분명 has 95 (100.0%) missing valuesMissing
기공용모터수 has 14 (14.7%) missing valuesMissing
관리번호 has unique valuesUnique
인허가일자 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 05:57:12.948436
Analysis finished2024-05-11 05:57:13.877916
Duration0.93 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size892.0 B
3200000
95 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3200000
2nd row3200000
3rd row3200000
4th row3200000
5th row3200000

Common Values

ValueCountFrequency (%)
3200000 95
100.0%

Length

2024-05-11T14:57:13.994411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:57:14.139094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3200000 95
100.0%

관리번호
Text

UNIQUE 

Distinct95
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size892.0 B
2024-05-11T14:57:14.487543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters2375
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

Unique95 ?
Unique (%)100.0%

Sample

1st rowPHMB319833200033062300001
2nd rowPHMB319883200033062300001
3rd rowPHMB319913200033062300001
4th rowPHMB319933200033062300001
5th rowPHMB319963200033062300001
ValueCountFrequency (%)
phmb319833200033062300001 1
 
1.1%
phmb320143200033062300003 1
 
1.1%
phmb320133200033062300008 1
 
1.1%
phmb320133200033062300007 1
 
1.1%
phmb320133200033062300005 1
 
1.1%
phmb320133200033062300004 1
 
1.1%
phmb320133200033062300003 1
 
1.1%
phmb320133200033062300002 1
 
1.1%
phmb320133200033062300001 1
 
1.1%
phmb320123200033062300004 1
 
1.1%
Other values (85) 85
89.5%
2024-05-11T14:57:15.053635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 893
37.6%
3 504
21.2%
2 310
 
13.1%
6 105
 
4.4%
1 97
 
4.1%
P 95
 
4.0%
H 95
 
4.0%
M 95
 
4.0%
B 95
 
4.0%
9 24
 
1.0%
Other values (4) 62
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1995
84.0%
Uppercase Letter 380
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 893
44.8%
3 504
25.3%
2 310
 
15.5%
6 105
 
5.3%
1 97
 
4.9%
9 24
 
1.2%
4 20
 
1.0%
8 17
 
0.9%
5 15
 
0.8%
7 10
 
0.5%
Uppercase Letter
ValueCountFrequency (%)
P 95
25.0%
H 95
25.0%
M 95
25.0%
B 95
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1995
84.0%
Latin 380
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 893
44.8%
3 504
25.3%
2 310
 
15.5%
6 105
 
5.3%
1 97
 
4.9%
9 24
 
1.2%
4 20
 
1.0%
8 17
 
0.9%
5 15
 
0.8%
7 10
 
0.5%
Latin
ValueCountFrequency (%)
P 95
25.0%
H 95
25.0%
M 95
25.0%
B 95
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2375
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 893
37.6%
3 504
21.2%
2 310
 
13.1%
6 105
 
4.4%
1 97
 
4.1%
P 95
 
4.0%
H 95
 
4.0%
M 95
 
4.0%
B 95
 
4.0%
9 24
 
1.0%
Other values (4) 62
 
2.6%

인허가일자
Date

UNIQUE 

Distinct95
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size892.0 B
Minimum1983-11-12 00:00:00
Maximum2022-12-20 00:00:00
2024-05-11T14:57:15.351147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:57:15.617883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing95
Missing (%)100.0%
Memory size987.0 B

영업상태코드
Categorical

Distinct3
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size892.0 B
3
54 
1
37 
5
 
4

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 54
56.8%
1 37
38.9%
5 4
 
4.2%

Length

2024-05-11T14:57:15.899887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:57:16.064875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 54
56.8%
1 37
38.9%
5 4
 
4.2%

영업상태명
Categorical

Distinct3
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size892.0 B
폐업
54 
영업/정상
37 
제외/삭제/전출
 
4

Length

Max length8
Median length2
Mean length3.4210526
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 54
56.8%
영업/정상 37
38.9%
제외/삭제/전출 4
 
4.2%

Length

2024-05-11T14:57:16.238017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:57:16.406077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 54
56.8%
영업/정상 37
38.9%
제외/삭제/전출 4
 
4.2%

상세영업상태코드
Categorical

Distinct3
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size892.0 B
3
54 
13
37 
15
 
4

Length

Max length2
Median length1
Mean length1.4315789
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 54
56.8%
13 37
38.9%
15 4
 
4.2%

Length

2024-05-11T14:57:16.597961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:57:16.761631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 54
56.8%
13 37
38.9%
15 4
 
4.2%

상세영업상태명
Categorical

Distinct3
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size892.0 B
폐업
54 
영업중
37 
전출
 
4

Length

Max length3
Median length2
Mean length2.3894737
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 54
56.8%
영업중 37
38.9%
전출 4
 
4.2%

Length

2024-05-11T14:57:16.948473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:57:17.117311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 54
56.8%
영업중 37
38.9%
전출 4
 
4.2%

폐업일자
Date

MISSING 

Distinct54
Distinct (%)96.4%
Missing39
Missing (%)41.1%
Memory size892.0 B
Minimum2009-03-25 00:00:00
Maximum2024-04-03 00:00:00
2024-05-11T14:57:17.282482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:57:17.588637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing95
Missing (%)100.0%
Memory size987.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing95
Missing (%)100.0%
Memory size987.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing95
Missing (%)100.0%
Memory size987.0 B

전화번호
Text

MISSING 

Distinct62
Distinct (%)98.4%
Missing32
Missing (%)33.7%
Memory size892.0 B
2024-05-11T14:57:17.985942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length8
Mean length9.2698413
Min length8

Characters and Unicode

Total characters584
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

Unique61 ?
Unique (%)96.8%

Sample

1st row879-1792
2nd row02-883-0220
3rd row02-873-0936
4th row02-878-1799
5th row884-5892
ValueCountFrequency (%)
3281-2804 2
 
3.2%
02-884-2281 1
 
1.6%
070-8656-1282 1
 
1.6%
879-1792 1
 
1.6%
577-5667 1
 
1.6%
02-883-2804 1
 
1.6%
3285-2804 1
 
1.6%
887-7220 1
 
1.6%
866-2804 1
 
1.6%
394-2807 1
 
1.6%
Other values (52) 52
82.5%
2024-05-11T14:57:18.670699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8 116
19.9%
2 101
17.3%
- 81
13.9%
0 71
12.2%
4 44
 
7.5%
7 41
 
7.0%
3 36
 
6.2%
6 30
 
5.1%
5 28
 
4.8%
9 19
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 503
86.1%
Dash Punctuation 81
 
13.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
8 116
23.1%
2 101
20.1%
0 71
14.1%
4 44
 
8.7%
7 41
 
8.2%
3 36
 
7.2%
6 30
 
6.0%
5 28
 
5.6%
9 19
 
3.8%
1 17
 
3.4%
Dash Punctuation
ValueCountFrequency (%)
- 81
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 584
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
8 116
19.9%
2 101
17.3%
- 81
13.9%
0 71
12.2%
4 44
 
7.5%
7 41
 
7.0%
3 36
 
6.2%
6 30
 
5.1%
5 28
 
4.8%
9 19
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 584
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8 116
19.9%
2 101
17.3%
- 81
13.9%
0 71
12.2%
4 44
 
7.5%
7 41
 
7.0%
3 36
 
6.2%
6 30
 
5.1%
5 28
 
4.8%
9 19
 
3.3%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing95
Missing (%)100.0%
Memory size987.0 B

소재지우편번호
Text

MISSING 

Distinct37
Distinct (%)72.5%
Missing44
Missing (%)46.3%
Memory size892.0 B
2024-05-11T14:57:19.001881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0196078
Min length6

Characters and Unicode

Total characters307
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)56.9%

Sample

1st row151-050
2nd row151820
3rd row151826
4th row151871
5th row151892
ValueCountFrequency (%)
151050 8
 
15.7%
151822 2
 
3.9%
151843 2
 
3.9%
151015 2
 
3.9%
151823 2
 
3.9%
151892 2
 
3.9%
151871 2
 
3.9%
151840 2
 
3.9%
151802 1
 
2.0%
151080 1
 
2.0%
Other values (27) 27
52.9%
2024-05-11T14:57:19.491710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 105
34.2%
5 67
21.8%
0 39
 
12.7%
8 36
 
11.7%
2 17
 
5.5%
7 11
 
3.6%
3 10
 
3.3%
9 10
 
3.3%
4 8
 
2.6%
6 2
 
0.7%
Other values (2) 2
 
0.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 305
99.3%
Dash Punctuation 1
 
0.3%
Space Separator 1
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 105
34.4%
5 67
22.0%
0 39
 
12.8%
8 36
 
11.8%
2 17
 
5.6%
7 11
 
3.6%
3 10
 
3.3%
9 10
 
3.3%
4 8
 
2.6%
6 2
 
0.7%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 307
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 105
34.2%
5 67
21.8%
0 39
 
12.7%
8 36
 
11.7%
2 17
 
5.5%
7 11
 
3.6%
3 10
 
3.3%
9 10
 
3.3%
4 8
 
2.6%
6 2
 
0.7%
Other values (2) 2
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 307
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 105
34.2%
5 67
21.8%
0 39
 
12.7%
8 36
 
11.7%
2 17
 
5.5%
7 11
 
3.6%
3 10
 
3.3%
9 10
 
3.3%
4 8
 
2.6%
6 2
 
0.7%
Other values (2) 2
 
0.7%

지번주소
Text

MISSING 

Distinct81
Distinct (%)93.1%
Missing8
Missing (%)8.4%
Memory size892.0 B
2024-05-11T14:57:19.903847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length39
Mean length24.310345
Min length19

Characters and Unicode

Total characters2115
Distinct characters77
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

Unique75 ?
Unique (%)86.2%

Sample

1st row서울특별시 관악구 봉천동 1685번지 31호 5층
2nd row서울특별시 관악구 봉천동 56번지 125호
3rd row서울특별시 관악구 봉천동 1690번지 152호
4th row서울특별시 관악구 봉천동 957번지 39호
5th row서울특별시 관악구 청룡동 945번지 10호
ValueCountFrequency (%)
서울특별시 86
18.8%
관악구 86
18.8%
봉천동 35
 
7.6%
신림동 18
 
3.9%
1호 8
 
1.7%
13호 6
 
1.3%
3호 6
 
1.3%
912번지 5
 
1.1%
은천동 5
 
1.1%
2층 5
 
1.1%
Other values (137) 198
43.2%
2024-05-11T14:57:20.498386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
371
 
17.5%
1 113
 
5.3%
동 90
 
4.3%
서 88
 
4.2%
시 87
 
4.1%
악 86
 
4.1%
구 86
 
4.1%
울 86
 
4.1%
관 86
 
4.1%
별 86
 
4.1%
Other values (67) 936
44.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1258
59.5%
Decimal Number 475
 
22.5%
Space Separator 371
 
17.5%
Dash Punctuation 10
 
0.5%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 90
 
7.2%
서 88
 
7.0%
시 87
 
6.9%
악 86
 
6.8%
구 86
 
6.8%
울 86
 
6.8%
관 86
 
6.8%
별 86
 
6.8%
특 86
 
6.8%
호 81
 
6.4%
Other values (54) 396
31.5%
Decimal Number
ValueCountFrequency (%)
1 113
23.8%
5 48
10.1%
6 47
9.9%
3 47
9.9%
2 46
9.7%
9 45
 
9.5%
4 40
 
8.4%
7 37
 
7.8%
0 29
 
6.1%
8 23
 
4.8%
Space Separator
ValueCountFrequency (%)
371
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%
Uppercase Letter
ValueCountFrequency (%)
U 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1258
59.5%
Common 856
40.5%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 90
 
7.2%
서 88
 
7.0%
시 87
 
6.9%
악 86
 
6.8%
구 86
 
6.8%
울 86
 
6.8%
관 86
 
6.8%
별 86
 
6.8%
특 86
 
6.8%
호 81
 
6.4%
Other values (54) 396
31.5%
Common
ValueCountFrequency (%)
371
43.3%
1 113
 
13.2%
5 48
 
5.6%
6 47
 
5.5%
3 47
 
5.5%
2 46
 
5.4%
9 45
 
5.3%
4 40
 
4.7%
7 37
 
4.3%
0 29
 
3.4%
Other values (2) 33
 
3.9%
Latin
ValueCountFrequency (%)
U 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1258
59.5%
ASCII 857
40.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
371
43.3%
1 113
 
13.2%
5 48
 
5.6%
6 47
 
5.5%
3 47
 
5.5%
2 46
 
5.4%
9 45
 
5.3%
4 40
 
4.7%
7 37
 
4.3%
0 29
 
3.4%
Other values (3) 34
 
4.0%
Hangul
ValueCountFrequency (%)
동 90
 
7.2%
서 88
 
7.0%
시 87
 
6.9%
악 86
 
6.8%
구 86
 
6.8%
울 86
 
6.8%
관 86
 
6.8%
별 86
 
6.8%
특 86
 
6.8%
호 81
 
6.4%
Other values (54) 396
31.5%

도로명주소
Text

Distinct89
Distinct (%)93.7%
Missing0
Missing (%)0.0%
Memory size892.0 B
2024-05-11T14:57:20.938253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length34
Mean length27.6
Min length21

Characters and Unicode

Total characters2622
Distinct characters93
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

Unique84 ?
Unique (%)88.4%

Sample

1st row서울특별시 관악구 솔밭로 1 (봉천동,5층)
2nd row서울특별시 관악구 중앙1길 10 (봉천동)
3rd row서울특별시 관악구 남부순환로 1951 (봉천동)
4th row서울특별시 관악구 봉천로 408 (봉천동)
5th row서울특별시 관악구 봉천로 325 (봉천동)
ValueCountFrequency (%)
서울특별시 95
17.7%
관악구 95
17.7%
봉천동 55
 
10.2%
신림동 28
 
5.2%
봉천로 25
 
4.6%
남부순환로 16
 
3.0%
3층 14
 
2.6%
2층 13
 
2.4%
4층 9
 
1.7%
30 5
 
0.9%
Other values (129) 183
34.0%
2024-05-11T14:57:21.582366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
445
 
17.0%
관 104
 
4.0%
악 103
 
3.9%
동 97
 
3.7%
시 96
 
3.7%
서 95
 
3.6%
( 95
 
3.6%
울 95
 
3.6%
) 95
 
3.6%
구 95
 
3.6%
Other values (83) 1302
49.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1524
58.1%
Space Separator 445
 
17.0%
Decimal Number 390
 
14.9%
Open Punctuation 95
 
3.6%
Close Punctuation 95
 
3.6%
Other Punctuation 58
 
2.2%
Dash Punctuation 13
 
0.5%
Uppercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
관 104
 
6.8%
악 103
 
6.8%
동 97
 
6.4%
시 96
 
6.3%
서 95
 
6.2%
울 95
 
6.2%
구 95
 
6.2%
별 95
 
6.2%
특 95
 
6.2%
천 93
 
6.1%
Other values (66) 556
36.5%
Decimal Number
ValueCountFrequency (%)
1 68
17.4%
2 62
15.9%
3 59
15.1%
4 43
11.0%
0 41
10.5%
5 33
8.5%
8 28
7.2%
7 21
 
5.4%
9 20
 
5.1%
6 15
 
3.8%
Uppercase Letter
ValueCountFrequency (%)
B 1
50.0%
U 1
50.0%
Space Separator
ValueCountFrequency (%)
445
100.0%
Open Punctuation
ValueCountFrequency (%)
( 95
100.0%
Close Punctuation
ValueCountFrequency (%)
) 95
100.0%
Other Punctuation
ValueCountFrequency (%)
, 58
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1524
58.1%
Common 1096
41.8%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
관 104
 
6.8%
악 103
 
6.8%
동 97
 
6.4%
시 96
 
6.3%
서 95
 
6.2%
울 95
 
6.2%
구 95
 
6.2%
별 95
 
6.2%
특 95
 
6.2%
천 93
 
6.1%
Other values (66) 556
36.5%
Common
ValueCountFrequency (%)
445
40.6%
( 95
 
8.7%
) 95
 
8.7%
1 68
 
6.2%
2 62
 
5.7%
3 59
 
5.4%
, 58
 
5.3%
4 43
 
3.9%
0 41
 
3.7%
5 33
 
3.0%
Other values (5) 97
 
8.9%
Latin
ValueCountFrequency (%)
B 1
50.0%
U 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1524
58.1%
ASCII 1098
41.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
445
40.5%
( 95
 
8.7%
) 95
 
8.7%
1 68
 
6.2%
2 62
 
5.6%
3 59
 
5.4%
, 58
 
5.3%
4 43
 
3.9%
0 41
 
3.7%
5 33
 
3.0%
Other values (7) 99
 
9.0%
Hangul
ValueCountFrequency (%)
관 104
 
6.8%
악 103
 
6.8%
동 97
 
6.4%
시 96
 
6.3%
서 95
 
6.2%
울 95
 
6.2%
구 95
 
6.2%
별 95
 
6.2%
특 95
 
6.2%
천 93
 
6.1%
Other values (66) 556
36.5%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct43
Distinct (%)63.2%
Missing27
Missing (%)28.4%
Infinite0
Infinite (%)0.0%
Mean40240.676
Minimum8700
Maximum151892
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size987.0 B
2024-05-11T14:57:21.788922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8700
5-th percentile8708
Q18748
median8769
Q38842.5
95-th percentile151860.15
Maximum151892
Range143192
Interquartile range (IQR)94.5

Descriptive statistics

Standard deviation59615.635
Coefficient of variation (CV)1.481477
Kurtosis-0.10402145
Mean40240.676
Median Absolute Deviation (MAD)24.5
Skewness1.3783513
Sum2736366
Variance3.554024 × 109
MonotonicityNot monotonic
2024-05-11T14:57:21.986017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
8749 5
 
5.3%
8789 4
 
4.2%
151050 3
 
3.2%
8785 3
 
3.2%
8757 3
 
3.2%
8727 3
 
3.2%
151015 3
 
3.2%
8737 2
 
2.1%
8739 2
 
2.1%
8793 2
 
2.1%
Other values (33) 38
40.0%
(Missing) 27
28.4%
ValueCountFrequency (%)
8700 1
 
1.1%
8701 1
 
1.1%
8702 1
 
1.1%
8708 2
2.1%
8719 1
 
1.1%
8727 3
3.2%
8737 2
2.1%
8739 2
2.1%
8743 1
 
1.1%
8744 1
 
1.1%
ValueCountFrequency (%)
151892 1
 
1.1%
151890 1
 
1.1%
151874 1
 
1.1%
151871 1
 
1.1%
151840 1
 
1.1%
151835 1
 
1.1%
151832 1
 
1.1%
151805 1
 
1.1%
151069 1
 
1.1%
151050 3
3.2%

사업장명
Text

Distinct91
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Memory size892.0 B
2024-05-11T14:57:22.322915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length17
Mean length8.4736842
Min length6

Characters and Unicode

Total characters805
Distinct characters159
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

Unique87 ?
Unique (%)91.6%

Sample

1st row굿스마일치과기공소
2nd row부광치과기공소
3rd row실로암치과기공소
4th row예원치과기공소
5th row리스치과기공소
ValueCountFrequency (%)
치과기공소 5
 
4.9%
하나치과기공소 2
 
1.9%
관악현치과기공소 2
 
1.9%
미래치과기공소 2
 
1.9%
초이스치과기공소 2
 
1.9%
이노치과기공소 1
 
1.0%
초이스교정치과기공소 1
 
1.0%
덴탈랩 1
 
1.0%
피에이씨(pac 1
 
1.0%
메디안치과기공소 1
 
1.0%
Other values (85) 85
82.5%
2024-05-11T14:57:22.860779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
기 95
 
11.8%
소 95
 
11.8%
치 94
 
11.7%
과 94
 
11.7%
공 94
 
11.7%
이 19
 
2.4%
스 15
 
1.9%
아 9
 
1.1%
8
 
1.0%
에 7
 
0.9%
Other values (149) 275
34.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 733
91.1%
Uppercase Letter 22
 
2.7%
Lowercase Letter 20
 
2.5%
Space Separator 8
 
1.0%
Close Punctuation 7
 
0.9%
Open Punctuation 7
 
0.9%
Other Punctuation 5
 
0.6%
Dash Punctuation 2
 
0.2%
Decimal Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 95
13.0%
소 95
13.0%
치 94
12.8%
과 94
12.8%
공 94
12.8%
이 19
 
2.6%
스 15
 
2.0%
아 9
 
1.2%
에 7
 
1.0%
인 6
 
0.8%
Other values (120) 205
28.0%
Lowercase Letter
ValueCountFrequency (%)
s 4
20.0%
i 3
15.0%
e 2
10.0%
a 2
10.0%
c 2
10.0%
n 2
10.0%
l 1
 
5.0%
u 1
 
5.0%
t 1
 
5.0%
o 1
 
5.0%
Uppercase Letter
ValueCountFrequency (%)
E 3
13.6%
A 3
13.6%
D 3
13.6%
P 3
13.6%
L 3
13.6%
C 2
9.1%
R 1
 
4.5%
V 1
 
4.5%
T 1
 
4.5%
O 1
 
4.5%
Other Punctuation
ValueCountFrequency (%)
& 3
60.0%
. 2
40.0%
Space Separator
ValueCountFrequency (%)
8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 733
91.1%
Latin 42
 
5.2%
Common 30
 
3.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 95
13.0%
소 95
13.0%
치 94
12.8%
과 94
12.8%
공 94
12.8%
이 19
 
2.6%
스 15
 
2.0%
아 9
 
1.2%
에 7
 
1.0%
인 6
 
0.8%
Other values (120) 205
28.0%
Latin
ValueCountFrequency (%)
s 4
 
9.5%
E 3
 
7.1%
A 3
 
7.1%
D 3
 
7.1%
P 3
 
7.1%
i 3
 
7.1%
L 3
 
7.1%
C 2
 
4.8%
e 2
 
4.8%
a 2
 
4.8%
Other values (12) 14
33.3%
Common
ValueCountFrequency (%)
8
26.7%
) 7
23.3%
( 7
23.3%
& 3
 
10.0%
- 2
 
6.7%
. 2
 
6.7%
2 1
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 733
91.1%
ASCII 72
 
8.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
기 95
13.0%
소 95
13.0%
치 94
12.8%
과 94
12.8%
공 94
12.8%
이 19
 
2.6%
스 15
 
2.0%
아 9
 
1.2%
에 7
 
1.0%
인 6
 
0.8%
Other values (120) 205
28.0%
ASCII
ValueCountFrequency (%)
8
 
11.1%
) 7
 
9.7%
( 7
 
9.7%
s 4
 
5.6%
E 3
 
4.2%
& 3
 
4.2%
A 3
 
4.2%
D 3
 
4.2%
P 3
 
4.2%
i 3
 
4.2%
Other values (19) 28
38.9%

최종수정일자
Date

UNIQUE 

Distinct95
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size892.0 B
Minimum2009-06-24 17:36:32
Maximum2024-04-03 13:24:09
2024-05-11T14:57:23.058078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:57:23.274659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size892.0 B
I
68 
U
27 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 68
71.6%
U 27
 
28.4%

Length

2024-05-11T14:57:23.466294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:57:23.614016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 68
71.6%
u 27
 
28.4%

데이터갱신일자
Date

Distinct33
Distinct (%)34.7%
Missing0
Missing (%)0.0%
Memory size892.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:05:00
2024-05-11T14:57:23.786466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:57:23.992253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing95
Missing (%)100.0%
Memory size987.0 B

좌표정보(X)
Real number (ℝ)

Distinct75
Distinct (%)78.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean194589.27
Minimum187915.32
Maximum198257.69
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size987.0 B
2024-05-11T14:57:24.606583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum187915.32
5-th percentile191613.46
Q1193496.51
median195079.92
Q3195957.86
95-th percentile196731.36
Maximum198257.69
Range10342.374
Interquartile range (IQR)2461.3444

Descriptive statistics

Standard deviation1747.9903
Coefficient of variation (CV)0.0089829737
Kurtosis1.1356705
Mean194589.27
Median Absolute Deviation (MAD)994.07822
Skewness-0.74160618
Sum18485980
Variance3055470
MonotonicityNot monotonic
2024-05-11T14:57:24.948275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
195081.689721666 5
 
5.3%
196061.519684018 3
 
3.2%
195148.364781018 3
 
3.2%
191613.463492241 2
 
2.1%
194871.518164387 2
 
2.1%
195959.584424837 2
 
2.1%
196034.732368761 2
 
2.1%
196104.971514365 2
 
2.1%
194572.833980101 2
 
2.1%
194038.277193385 2
 
2.1%
Other values (65) 70
73.7%
ValueCountFrequency (%)
187915.321088039 1
1.1%
191288.170481488 1
1.1%
191378.311115934 1
1.1%
191602.120217728 1
1.1%
191613.463492241 2
2.1%
191735.818729609 1
1.1%
191924.411453667 1
1.1%
192087.106149192 1
1.1%
192091.636556737 1
1.1%
192200.285142848 1
1.1%
ValueCountFrequency (%)
198257.694991475 1
1.1%
198038.813567583 1
1.1%
197808.518383667 1
1.1%
196929.22157902 1
1.1%
196731.36052656 2
2.1%
196720.904237939 1
1.1%
196659.443687699 1
1.1%
196608.652537418 1
1.1%
196292.407056524 1
1.1%
196177.70663239 1
1.1%

좌표정보(Y)
Real number (ℝ)

Distinct75
Distinct (%)78.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean442221.03
Minimum439885.32
Maximum443465.32
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size987.0 B
2024-05-11T14:57:25.246379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum439885.32
5-th percentile441463.39
Q1442001.74
median442289.61
Q3442502.97
95-th percentile442729.59
Maximum443465.32
Range3580.0088
Interquartile range (IQR)501.23106

Descriptive statistics

Standard deviation498.1452
Coefficient of variation (CV)0.001126462
Kurtosis5.1274555
Mean442221.03
Median Absolute Deviation (MAD)272.95264
Skewness-1.3036402
Sum42010998
Variance248148.64
MonotonicityNot monotonic
2024-05-11T14:57:25.504147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
442275.730544362 5
 
5.3%
442700.721628523 3
 
3.2%
442034.278672734 3
 
3.2%
442342.94799117 2
 
2.1%
442363.33436568 2
 
2.1%
442336.125347792 2
 
2.1%
442630.753593605 2
 
2.1%
441917.723076494 2
 
2.1%
442384.717340457 2
 
2.1%
442589.331345915 2
 
2.1%
Other values (65) 70
73.7%
ValueCountFrequency (%)
439885.315238411 1
1.1%
440686.656714832 1
1.1%
441307.925540273 1
1.1%
441346.745316766 1
1.1%
441448.363397898 1
1.1%
441469.835847176 1
1.1%
441483.143360127 1
1.1%
441507.220728356 1
1.1%
441579.156778036 1
1.1%
441582.587722816 2
2.1%
ValueCountFrequency (%)
443465.324057696 2
2.1%
442934.201260637 1
 
1.1%
442869.279028341 1
 
1.1%
442772.047530947 1
 
1.1%
442711.393084361 1
 
1.1%
442700.721628523 3
3.2%
442694.768283794 1
 
1.1%
442683.091786942 1
 
1.1%
442673.661379824 1
 
1.1%
442630.753593605 2
2.1%

기공용레스수
Categorical

Distinct3
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size892.0 B
1
77 
<NA>
14 
2
 
4

Length

Max length4
Median length1
Mean length1.4421053
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 77
81.1%
<NA> 14
 
14.7%
2 4
 
4.2%

Length

2024-05-11T14:57:25.768482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:57:25.950872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 77
81.1%
na 14
 
14.7%
2 4
 
4.2%

원심주조기수
Categorical

IMBALANCE 

Distinct4
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size892.0 B
1
78 
<NA>
14 
2
 
2
3
 
1

Length

Max length4
Median length1
Mean length1.4421053
Min length1

Unique

Unique1 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
1 78
82.1%
<NA> 14
 
14.7%
2 2
 
2.1%
3 1
 
1.1%

Length

2024-05-11T14:57:26.133492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:57:26.330343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 78
82.1%
na 14
 
14.7%
2 2
 
2.1%
3 1
 
1.1%

기공용모터수
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)8.6%
Missing14
Missing (%)14.7%
Infinite0
Infinite (%)0.0%
Mean3.3333333
Minimum2
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size987.0 B
2024-05-11T14:57:26.504160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q12
median3
Q34
95-th percentile8
Maximum10
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.0124612
Coefficient of variation (CV)0.60373835
Kurtosis4.129251
Mean3.3333333
Median Absolute Deviation (MAD)1
Skewness2.0756749
Sum270
Variance4.05
MonotonicityNot monotonic
2024-05-11T14:57:26.762776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
2 39
41.1%
3 18
18.9%
4 11
 
11.6%
6 6
 
6.3%
10 4
 
4.2%
5 2
 
2.1%
8 1
 
1.1%
(Missing) 14
 
14.7%
ValueCountFrequency (%)
2 39
41.1%
3 18
18.9%
4 11
 
11.6%
5 2
 
2.1%
6 6
 
6.3%
8 1
 
1.1%
10 4
 
4.2%
ValueCountFrequency (%)
10 4
 
4.2%
8 1
 
1.1%
6 6
 
6.3%
5 2
 
2.1%
4 11
 
11.6%
3 18
18.9%
2 39
41.1%

아세틸렌수
Categorical

IMBALANCE 

Distinct4
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size892.0 B
1
78 
<NA>
14 
0
 
2
2
 
1

Length

Max length4
Median length1
Mean length1.4421053
Min length1

Unique

Unique1 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
1 78
82.1%
<NA> 14
 
14.7%
0 2
 
2.1%
2 1
 
1.1%

Length

2024-05-11T14:57:27.046271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:57:27.225425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 78
82.1%
na 14
 
14.7%
0 2
 
2.1%
2 1
 
1.1%

치과용프레스수
Categorical

Distinct3
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size892.0 B
1
78 
<NA>
14 
2
 
3

Length

Max length4
Median length1
Mean length1.4421053
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 78
82.1%
<NA> 14
 
14.7%
2 3
 
3.2%

Length

2024-05-11T14:57:27.443147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:57:27.606972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 78
82.1%
na 14
 
14.7%
2 3
 
3.2%

전기로수
Categorical

Distinct5
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size892.0 B
1
56 
2
19 
<NA>
14 
3
 
5
4
 
1

Length

Max length4
Median length1
Mean length1.4421053
Min length1

Unique

Unique1 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
1 56
58.9%
2 19
 
20.0%
<NA> 14
 
14.7%
3 5
 
5.3%
4 1
 
1.1%

Length

2024-05-11T14:57:27.770752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:57:27.975172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 56
58.9%
2 19
 
20.0%
na 14
 
14.7%
3 5
 
5.3%
4 1
 
1.1%

포셀린로수
Categorical

Distinct5
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size892.0 B
1
59 
2
16 
<NA>
14 
3
 
4
4
 
2

Length

Max length4
Median length1
Mean length1.4421053
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 59
62.1%
2 16
 
16.8%
<NA> 14
 
14.7%
3 4
 
4.2%
4 2
 
2.1%

Length

2024-05-11T14:57:28.180428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:57:28.388601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 59
62.1%
2 16
 
16.8%
na 14
 
14.7%
3 4
 
4.2%
4 2
 
2.1%

초음파청소기수
Categorical

Distinct4
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size892.0 B
1
74 
<NA>
14 
2
 
6
3
 
1

Length

Max length4
Median length1
Mean length1.4421053
Min length1

Unique

Unique1 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
1 74
77.9%
<NA> 14
 
14.7%
2 6
 
6.3%
3 1
 
1.1%

Length

2024-05-11T14:57:28.600443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:57:28.835813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 74
77.9%
na 14
 
14.7%
2 6
 
6.3%
3 1
 
1.1%

서베이어수
Categorical

Distinct4
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size892.0 B
1
74 
<NA>
14 
2
 
6
3
 
1

Length

Max length4
Median length1
Mean length1.4421053
Min length1

Unique

Unique1 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
1 74
77.9%
<NA> 14
 
14.7%
2 6
 
6.3%
3 1
 
1.1%

Length

2024-05-11T14:57:28.991077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:57:29.187924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 74
77.9%
na 14
 
14.7%
2 6
 
6.3%
3 1
 
1.1%

진동기수
Categorical

IMBALANCE 

Distinct4
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size892.0 B
1
76 
<NA>
14 
2
 
3
3
 
2

Length

Max length4
Median length1
Mean length1.4421053
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 76
80.0%
<NA> 14
 
14.7%
2 3
 
3.2%
3 2
 
2.1%

Length

2024-05-11T14:57:29.365371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:57:29.552380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 76
80.0%
na 14
 
14.7%
2 3
 
3.2%
3 2
 
2.1%

트리머수
Categorical

IMBALANCE 

Distinct3
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size892.0 B
1
79 
<NA>
14 
2
 
2

Length

Max length4
Median length1
Mean length1.4421053
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 79
83.2%
<NA> 14
 
14.7%
2 2
 
2.1%

Length

2024-05-11T14:57:29.791523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:57:29.964456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 79
83.2%
na 14
 
14.7%
2 2
 
2.1%

기공용컴프레서수
Categorical

Distinct4
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size892.0 B
1
66 
<NA>
23 
3
 
4
2
 
2

Length

Max length4
Median length1
Mean length1.7263158
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 66
69.5%
<NA> 23
 
24.2%
3 4
 
4.2%
2 2
 
2.1%

Length

2024-05-11T14:57:30.196055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:57:30.365022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 66
69.5%
na 23
 
24.2%
3 4
 
4.2%
2 2
 
2.1%

샌드기수
Categorical

Distinct4
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size892.0 B
1
61 
<NA>
23 
2
9 
3
 
2

Length

Max length4
Median length1
Mean length1.7263158
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 61
64.2%
<NA> 23
 
24.2%
2 9
 
9.5%
3 2
 
2.1%

Length

2024-05-11T14:57:30.556607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:57:30.757516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 61
64.2%
na 23
 
24.2%
2 9
 
9.5%
3 2
 
2.1%

진공매몰기수
Categorical

Distinct3
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size892.0 B
1
69 
<NA>
23 
2
 
3

Length

Max length4
Median length1
Mean length1.7263158
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 69
72.6%
<NA> 23
 
24.2%
2 3
 
3.2%

Length

2024-05-11T14:57:30.965096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:57:31.188552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 69
72.6%
na 23
 
24.2%
2 3
 
3.2%

핀덱스수
Categorical

Distinct4
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size892.0 B
1
69 
<NA>
23 
2
 
2
0
 
1

Length

Max length4
Median length1
Mean length1.7263158
Min length1

Unique

Unique1 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
1 69
72.6%
<NA> 23
 
24.2%
2 2
 
2.1%
0 1
 
1.1%

Length

2024-05-11T14:57:31.432300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:57:31.614539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 69
72.6%
na 23
 
24.2%
2 2
 
2.1%
0 1
 
1.1%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)기공용레스수원심주조기수기공용모터수아세틸렌수치과용프레스수전기로수포셀린로수초음파청소기수서베이어수진동기수트리머수기공용컴프레서수샌드기수진공매몰기수핀덱스수
03200000PHMB3198332000330623000011983-11-12<NA>3폐업3폐업2024-04-03<NA><NA><NA>879-1792<NA>151-050서울특별시 관악구 봉천동 1685번지 31호 5층서울특별시 관악구 솔밭로 1 (봉천동,5층)<NA>굿스마일치과기공소2024-04-03 13:24:09U2023-12-04 00:05:00.0<NA>196608.652537441757.438435<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13200000PHMB3198832000330623000011988-09-07<NA>3폐업3폐업2023-02-24<NA><NA><NA>02-883-0220<NA><NA>서울특별시 관악구 봉천동 56번지 125호서울특별시 관악구 중앙1길 10 (봉천동)8745부광치과기공소2023-02-24 11:39:42U2022-12-01 22:06:00.0<NA>195824.005221442392.486389<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23200000PHMB31991320003306230000119911111<NA>1영업/정상13영업중<NA><NA><NA><NA>02-873-0936<NA><NA>서울특별시 관악구 봉천동 1690번지 152호서울특별시 관악구 남부순환로 1951 (봉천동)8802실로암치과기공소2020-01-10 10:30:18I2020-01-12 00:23:25.0<NA>196929.221579441579.156778112111111111111
33200000PHMB31993320003306230000119930521<NA>3폐업3폐업20121008<NA><NA><NA><NA><NA><NA><NA>서울특별시 관악구 봉천로 408 (봉천동)151069예원치과기공소2012-10-08 15:36:49I2018-08-31 23:59:59.0<NA>195081.689722442275.730544112111111111111
43200000PHMB31996320003306230000119960530<NA>3폐업3폐업20221020<NA><NA><NA>02-878-1799<NA><NA>서울특별시 관악구 봉천동 957번지 39호서울특별시 관악구 봉천로 325 (봉천동)8749리스치과기공소2022-10-20 11:13:11U2021-10-30 22:02:00.0<NA>194344.123215442625.58113<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53200000PHMB31997320003306230000119970114<NA>1영업/정상13영업중<NA><NA><NA><NA>884-5892<NA>151820서울특별시 관악구 청룡동 945번지 10호서울특별시 관악구 남부순환로 1710, 3층 (봉천동)8782티엠제이치과기공소2012-08-27 17:40:55I2018-08-31 23:59:59.0<NA>194613.552109442291.802165112111111111111
63200000PHMB31998320003306230000119980923<NA>1영업/정상13영업중<NA><NA><NA><NA>876-2804<NA><NA><NA>서울특별시 관악구 봉천로 309 (봉천동, 4층)8719행복치과기공소2014-02-11 17:22:01I2018-08-31 23:59:59.0<NA>194195.946666442711.393084113111111111111
73200000PHMB31999320003306230000119991115<NA>3폐업3폐업20120716<NA><NA><NA><NA><NA>151826서울특별시 관악구 은천동 912번지 14호서울특별시 관악구 남부순환로 1753-8 (봉천동)<NA>초이스치과기공소2012-07-26 11:44:57I2018-08-31 23:59:59.0<NA>195079.916452442262.249568112111111111111
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