Overview

Dataset statistics

Number of variables40
Number of observations61
Missing cells398
Missing cells (%)16.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory20.8 KiB
Average record size in memory349.2 B

Variable types

Categorical21
Text6
DateTime4
Numeric4
Unsupported5

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
Author종로구
URLhttps://data.seoul.go.kr/dataList/OA-16006/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
원심주조기수 is highly imbalanced (54.4%)Imbalance
진동기수 is highly imbalanced (54.4%)Imbalance
인허가취소일자 has 33 (54.1%) missing valuesMissing
폐업일자 has 27 (44.3%) missing valuesMissing
휴업시작일자 has 61 (100.0%) missing valuesMissing
휴업종료일자 has 61 (100.0%) missing valuesMissing
재개업일자 has 61 (100.0%) missing valuesMissing
전화번호 has 4 (6.6%) missing valuesMissing
소재지면적 has 61 (100.0%) missing valuesMissing
소재지우편번호 has 16 (26.2%) missing valuesMissing
지번주소 has 1 (1.6%) missing valuesMissing
도로명주소 has 2 (3.3%) missing valuesMissing
도로명우편번호 has 10 (16.4%) missing valuesMissing
업태구분명 has 61 (100.0%) 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 started2024-04-06 10:24:18.070631
Analysis finished2024-04-06 10:24:18.909748
Duration0.84 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size620.0 B
3000000
61 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3000000
2nd row3000000
3rd row3000000
4th row3000000
5th row3000000

Common Values

ValueCountFrequency (%)
3000000 61
100.0%

Length

2024-04-06T19:24:19.014077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:24:19.157583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3000000 61
100.0%

관리번호
Text

UNIQUE 

Distinct61
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size620.0 B
2024-04-06T19:24:19.438006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters1525
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

Unique61 ?
Unique (%)100.0%

Sample

1st rowPHMB309813000034062300001
2nd rowPHMB319763000034062300001
3rd rowPHMB319763000034062300002
4th rowPHMB319763000034062300003
5th rowPHMB319783000034062300001
ValueCountFrequency (%)
phmb309813000034062300001 1
 
1.6%
phmb320043000034062300001 1
 
1.6%
phmb320043000034062300003 1
 
1.6%
phmb320053000034062300002 1
 
1.6%
phmb320053000034062300003 1
 
1.6%
phmb320063000034062300001 1
 
1.6%
phmb320073000034062300001 1
 
1.6%
phmb320093000034062300001 1
 
1.6%
phmb320093000034062300002 1
 
1.6%
phmb320093000034062300003 1
 
1.6%
Other values (51) 51
83.6%
2024-04-06T19:24:20.124535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 604
39.6%
3 260
17.0%
2 133
 
8.7%
1 71
 
4.7%
6 69
 
4.5%
4 67
 
4.4%
P 61
 
4.0%
H 61
 
4.0%
M 61
 
4.0%
B 61
 
4.0%
Other values (4) 77
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1281
84.0%
Uppercase Letter 244
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 604
47.2%
3 260
20.3%
2 133
 
10.4%
1 71
 
5.5%
6 69
 
5.4%
4 67
 
5.2%
9 48
 
3.7%
8 14
 
1.1%
5 8
 
0.6%
7 7
 
0.5%
Uppercase Letter
ValueCountFrequency (%)
P 61
25.0%
H 61
25.0%
M 61
25.0%
B 61
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1281
84.0%
Latin 244
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 604
47.2%
3 260
20.3%
2 133
 
10.4%
1 71
 
5.5%
6 69
 
5.4%
4 67
 
5.2%
9 48
 
3.7%
8 14
 
1.1%
5 8
 
0.6%
7 7
 
0.5%
Latin
ValueCountFrequency (%)
P 61
25.0%
H 61
25.0%
M 61
25.0%
B 61
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1525
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 604
39.6%
3 260
17.0%
2 133
 
8.7%
1 71
 
4.7%
6 69
 
4.5%
4 67
 
4.4%
P 61
 
4.0%
H 61
 
4.0%
M 61
 
4.0%
B 61
 
4.0%
Other values (4) 77
 
5.0%

인허가일자
Date

Distinct58
Distinct (%)95.1%
Missing0
Missing (%)0.0%
Memory size620.0 B
Minimum1976-08-07 00:00:00
Maximum2021-12-22 00:00:00
2024-04-06T19:24:20.335253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:24:20.524796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Real number (ℝ)

MISSING 

Distinct26
Distinct (%)92.9%
Missing33
Missing (%)54.1%
Infinite0
Infinite (%)0.0%
Mean20128105
Minimum20081119
Maximum20180928
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size681.0 B
2024-04-06T19:24:20.758838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20081119
5-th percentile20084394
Q120110423
median20130102
Q320143579
95-th percentile20180644
Maximum20180928
Range99809
Interquartile range (IQR)33156

Descriptive statistics

Standard deviation29771.086
Coefficient of variation (CV)0.0014790804
Kurtosis-0.55904032
Mean20128105
Median Absolute Deviation (MAD)19780.5
Skewness0.39257435
Sum5.6358695 × 108
Variance8.8631757 × 108
MonotonicityNot monotonic
2024-04-06T19:24:21.402881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
20130102 2
 
3.3%
20110628 2
 
3.3%
20161129 1
 
1.6%
20141231 1
 
1.6%
20110524 1
 
1.6%
20130502 1
 
1.6%
20180928 1
 
1.6%
20180711 1
 
1.6%
20130117 1
 
1.6%
20100714 1
 
1.6%
Other values (16) 16
26.2%
(Missing) 33
54.1%
ValueCountFrequency (%)
20081119 1
1.6%
20081212 1
1.6%
20090304 1
1.6%
20090306 1
1.6%
20100707 1
1.6%
20100714 1
1.6%
20110119 1
1.6%
20110524 1
1.6%
20110628 2
3.3%
20111117 1
1.6%
ValueCountFrequency (%)
20180928 1
1.6%
20180711 1
1.6%
20180521 1
1.6%
20180409 1
1.6%
20161129 1
1.6%
20150630 1
1.6%
20150622 1
1.6%
20141231 1
1.6%
20141107 1
1.6%
20130509 1
1.6%

영업상태코드
Categorical

Distinct4
Distinct (%)6.6%
Missing0
Missing (%)0.0%
Memory size620.0 B
3
32 
1
26 
5
 
2
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.6%

Sample

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

Common Values

ValueCountFrequency (%)
3 32
52.5%
1 26
42.6%
5 2
 
3.3%
4 1
 
1.6%

Length

2024-04-06T19:24:21.688503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:24:21.883026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 32
52.5%
1 26
42.6%
5 2
 
3.3%
4 1
 
1.6%

영업상태명
Categorical

Distinct4
Distinct (%)6.6%
Missing0
Missing (%)0.0%
Memory size620.0 B
폐업
32 
영업/정상
26 
제외/삭제/전출
 
2
취소/말소/만료/정지/중지
 
1

Length

Max length14
Median length2
Mean length3.6721311
Min length2

Unique

Unique1 ?
Unique (%)1.6%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 32
52.5%
영업/정상 26
42.6%
제외/삭제/전출 2
 
3.3%
취소/말소/만료/정지/중지 1
 
1.6%

Length

2024-04-06T19:24:22.149282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:24:22.344069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 32
52.5%
영업/정상 26
42.6%
제외/삭제/전출 2
 
3.3%
취소/말소/만료/정지/중지 1
 
1.6%

상세영업상태코드
Categorical

Distinct4
Distinct (%)6.6%
Missing0
Missing (%)0.0%
Memory size620.0 B
3
32 
13
26 
15
 
2
24
 
1

Length

Max length2
Median length1
Mean length1.4754098
Min length1

Unique

Unique1 ?
Unique (%)1.6%

Sample

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

Common Values

ValueCountFrequency (%)
3 32
52.5%
13 26
42.6%
15 2
 
3.3%
24 1
 
1.6%

Length

2024-04-06T19:24:22.541347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:24:22.747257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 32
52.5%
13 26
42.6%
15 2
 
3.3%
24 1
 
1.6%

상세영업상태명
Categorical

Distinct4
Distinct (%)6.6%
Missing0
Missing (%)0.0%
Memory size620.0 B
폐업
32 
영업중
26 
전출
 
2
직권폐업
 
1

Length

Max length4
Median length2
Mean length2.4590164
Min length2

Unique

Unique1 ?
Unique (%)1.6%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 32
52.5%
영업중 26
42.6%
전출 2
 
3.3%
직권폐업 1
 
1.6%

Length

2024-04-06T19:24:22.977108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:24:23.207396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 32
52.5%
영업중 26
42.6%
전출 2
 
3.3%
직권폐업 1
 
1.6%

폐업일자
Date

MISSING 

Distinct34
Distinct (%)100.0%
Missing27
Missing (%)44.3%
Memory size620.0 B
Minimum2008-11-11 00:00:00
Maximum2023-10-30 00:00:00
2024-04-06T19:24:23.386718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:24:23.589061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing61
Missing (%)100.0%
Memory size681.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing61
Missing (%)100.0%
Memory size681.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing61
Missing (%)100.0%
Memory size681.0 B

전화번호
Text

MISSING 

Distinct57
Distinct (%)100.0%
Missing4
Missing (%)6.6%
Memory size620.0 B
2024-04-06T19:24:24.068151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length10.719298
Min length8

Characters and Unicode

Total characters611
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

Unique57 ?
Unique (%)100.0%

Sample

1st row02-743-7145
2nd row02-765-1672
3rd row02-765-2628
4th row02-744-4652
5th row02-763-8305
ValueCountFrequency (%)
02-762-6882 1
 
1.8%
02-763-9534 1
 
1.8%
02)2274-0426 1
 
1.8%
922-7611 1
 
1.8%
02-720-2804 1
 
1.8%
02-730-6533 1
 
1.8%
02-747-2804 1
 
1.8%
02-762-9911 1
 
1.8%
02-766-2804 1
 
1.8%
02-2272-2805 1
 
1.8%
Other values (47) 47
82.5%
2024-04-06T19:24:24.745988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 123
20.1%
- 99
16.2%
0 83
13.6%
7 63
10.3%
4 53
8.7%
3 43
 
7.0%
6 38
 
6.2%
8 36
 
5.9%
5 32
 
5.2%
1 20
 
3.3%
Other values (2) 21
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 508
83.1%
Dash Punctuation 99
 
16.2%
Close Punctuation 4
 
0.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 123
24.2%
0 83
16.3%
7 63
12.4%
4 53
10.4%
3 43
 
8.5%
6 38
 
7.5%
8 36
 
7.1%
5 32
 
6.3%
1 20
 
3.9%
9 17
 
3.3%
Dash Punctuation
ValueCountFrequency (%)
- 99
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 611
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 123
20.1%
- 99
16.2%
0 83
13.6%
7 63
10.3%
4 53
8.7%
3 43
 
7.0%
6 38
 
6.2%
8 36
 
5.9%
5 32
 
5.2%
1 20
 
3.3%
Other values (2) 21
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 611
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 123
20.1%
- 99
16.2%
0 83
13.6%
7 63
10.3%
4 53
8.7%
3 43
 
7.0%
6 38
 
6.2%
8 36
 
5.9%
5 32
 
5.2%
1 20
 
3.3%
Other values (2) 21
 
3.4%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing61
Missing (%)100.0%
Memory size681.0 B

소재지우편번호
Text

MISSING 

Distinct30
Distinct (%)66.7%
Missing16
Missing (%)26.2%
Memory size620.0 B
2024-04-06T19:24:25.068924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0222222
Min length6

Characters and Unicode

Total characters271
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 (%)46.7%

Sample

1st row110840
2nd row110807
3rd row110850
4th row110850
5th row110100
ValueCountFrequency (%)
110850 6
 
13.3%
110126 3
 
6.7%
110320 3
 
6.7%
110840 2
 
4.4%
110855 2
 
4.4%
110827 2
 
4.4%
110836 2
 
4.4%
110044 2
 
4.4%
110470 2
 
4.4%
110420 1
 
2.2%
Other values (20) 20
44.4%
2024-04-06T19:24:25.629393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 101
37.3%
0 68
25.1%
8 26
 
9.6%
5 19
 
7.0%
4 15
 
5.5%
2 14
 
5.2%
3 10
 
3.7%
6 8
 
3.0%
7 8
 
3.0%
- 1
 
0.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 270
99.6%
Dash Punctuation 1
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 101
37.4%
0 68
25.2%
8 26
 
9.6%
5 19
 
7.0%
4 15
 
5.6%
2 14
 
5.2%
3 10
 
3.7%
6 8
 
3.0%
7 8
 
3.0%
9 1
 
0.4%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 271
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 101
37.3%
0 68
25.1%
8 26
 
9.6%
5 19
 
7.0%
4 15
 
5.5%
2 14
 
5.2%
3 10
 
3.7%
6 8
 
3.0%
7 8
 
3.0%
- 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 271
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 101
37.3%
0 68
25.1%
8 26
 
9.6%
5 19
 
7.0%
4 15
 
5.5%
2 14
 
5.2%
3 10
 
3.7%
6 8
 
3.0%
7 8
 
3.0%
- 1
 
0.4%

지번주소
Text

MISSING 

Distinct57
Distinct (%)95.0%
Missing1
Missing (%)1.6%
Memory size620.0 B
2024-04-06T19:24:26.109386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length29
Mean length24.416667
Min length17

Characters and Unicode

Total characters1465
Distinct characters78
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique54 ?
Unique (%)90.0%

Sample

1st row서울특별시 종로구 창신1동 222번지 9호 5층
2nd row서울특별시 종로구 돈의동 44번지 1호
3rd row서울특별시 종로구 효제동 227번지 1호
4th row서울특별시 종로구 효제동 220번지
5th row서울특별시 종로구 효제동 171번지 23호 5층
ValueCountFrequency (%)
서울특별시 60
18.4%
종로구 60
18.4%
4층 11
 
3.4%
3층 9
 
2.8%
효제동 8
 
2.5%
5층 7
 
2.1%
1호 7
 
2.1%
숭인동 6
 
1.8%
낙원동 6
 
1.8%
3호 4
 
1.2%
Other values (112) 148
45.4%
2024-04-06T19:24:26.949754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
271
18.5%
종 66
 
4.5%
로 66
 
4.5%
1 65
 
4.4%
서 60
 
4.1%
특 60
 
4.1%
별 60
 
4.1%
시 60
 
4.1%
구 60
 
4.1%
울 60
 
4.1%
Other values (68) 637
43.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 897
61.2%
Decimal Number 288
 
19.7%
Space Separator 271
 
18.5%
Dash Punctuation 7
 
0.5%
Uppercase Letter 1
 
0.1%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
종 66
 
7.4%
로 66
 
7.4%
서 60
 
6.7%
특 60
 
6.7%
별 60
 
6.7%
시 60
 
6.7%
구 60
 
6.7%
울 60
 
6.7%
지 56
 
6.2%
동 55
 
6.1%
Other values (54) 294
32.8%
Decimal Number
ValueCountFrequency (%)
1 65
22.6%
2 54
18.8%
3 41
14.2%
4 29
10.1%
5 24
 
8.3%
7 19
 
6.6%
6 17
 
5.9%
8 16
 
5.6%
0 14
 
4.9%
9 9
 
3.1%
Space Separator
ValueCountFrequency (%)
271
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Uppercase Letter
ValueCountFrequency (%)
D 1
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 897
61.2%
Common 567
38.7%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
종 66
 
7.4%
로 66
 
7.4%
서 60
 
6.7%
특 60
 
6.7%
별 60
 
6.7%
시 60
 
6.7%
구 60
 
6.7%
울 60
 
6.7%
지 56
 
6.2%
동 55
 
6.1%
Other values (54) 294
32.8%
Common
ValueCountFrequency (%)
271
47.8%
1 65
 
11.5%
2 54
 
9.5%
3 41
 
7.2%
4 29
 
5.1%
5 24
 
4.2%
7 19
 
3.4%
6 17
 
3.0%
8 16
 
2.8%
0 14
 
2.5%
Other values (3) 17
 
3.0%
Latin
ValueCountFrequency (%)
D 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 897
61.2%
ASCII 568
38.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
271
47.7%
1 65
 
11.4%
2 54
 
9.5%
3 41
 
7.2%
4 29
 
5.1%
5 24
 
4.2%
7 19
 
3.3%
6 17
 
3.0%
8 16
 
2.8%
0 14
 
2.5%
Other values (4) 18
 
3.2%
Hangul
ValueCountFrequency (%)
종 66
 
7.4%
로 66
 
7.4%
서 60
 
6.7%
특 60
 
6.7%
별 60
 
6.7%
시 60
 
6.7%
구 60
 
6.7%
울 60
 
6.7%
지 56
 
6.2%
동 55
 
6.1%
Other values (54) 294
32.8%

도로명주소
Text

MISSING 

Distinct56
Distinct (%)94.9%
Missing2
Missing (%)3.3%
Memory size620.0 B
2024-04-06T19:24:27.435897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length33
Mean length28.457627
Min length22

Characters and Unicode

Total characters1679
Distinct characters88
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

Unique53 ?
Unique (%)89.8%

Sample

1st row서울특별시 종로구 종로 335-5, 5층 (창신동)
2nd row서울특별시 종로구 돈화문로11길 18 (돈의동)
3rd row서울특별시 종로구 종로35길 19 (효제동)
4th row서울특별시 종로구 종로35길 29 (효제동)
5th row서울특별시 종로구 종로39길 33, 5층 (효제동)
ValueCountFrequency (%)
서울특별시 59
 
17.1%
종로구 59
 
17.1%
4층 13
 
3.8%
3층 12
 
3.5%
효제동 8
 
2.3%
종로 8
 
2.3%
숭인동 8
 
2.3%
창신동 7
 
2.0%
낙원동 6
 
1.7%
5층 6
 
1.7%
Other values (111) 160
46.2%
2024-04-06T19:24:28.164200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
287
 
17.1%
로 112
 
6.7%
종 93
 
5.5%
서 59
 
3.5%
) 59
 
3.5%
( 59
 
3.5%
울 59
 
3.5%
구 59
 
3.5%
시 59
 
3.5%
별 59
 
3.5%
Other values (78) 774
46.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 941
56.0%
Space Separator 287
 
17.1%
Decimal Number 270
 
16.1%
Close Punctuation 59
 
3.5%
Open Punctuation 59
 
3.5%
Other Punctuation 47
 
2.8%
Dash Punctuation 14
 
0.8%
Uppercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 112
 
11.9%
종 93
 
9.9%
서 59
 
6.3%
울 59
 
6.3%
구 59
 
6.3%
시 59
 
6.3%
별 59
 
6.3%
특 59
 
6.3%
동 57
 
6.1%
길 45
 
4.8%
Other values (61) 280
29.8%
Decimal Number
ValueCountFrequency (%)
3 55
20.4%
1 54
20.0%
5 34
12.6%
4 32
11.9%
2 21
 
7.8%
0 20
 
7.4%
6 16
 
5.9%
8 16
 
5.9%
9 13
 
4.8%
7 9
 
3.3%
Uppercase Letter
ValueCountFrequency (%)
B 1
50.0%
D 1
50.0%
Space Separator
ValueCountFrequency (%)
287
100.0%
Close Punctuation
ValueCountFrequency (%)
) 59
100.0%
Open Punctuation
ValueCountFrequency (%)
( 59
100.0%
Other Punctuation
ValueCountFrequency (%)
, 47
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 941
56.0%
Common 736
43.8%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 112
 
11.9%
종 93
 
9.9%
서 59
 
6.3%
울 59
 
6.3%
구 59
 
6.3%
시 59
 
6.3%
별 59
 
6.3%
특 59
 
6.3%
동 57
 
6.1%
길 45
 
4.8%
Other values (61) 280
29.8%
Common
ValueCountFrequency (%)
287
39.0%
) 59
 
8.0%
( 59
 
8.0%
3 55
 
7.5%
1 54
 
7.3%
, 47
 
6.4%
5 34
 
4.6%
4 32
 
4.3%
2 21
 
2.9%
0 20
 
2.7%
Other values (5) 68
 
9.2%
Latin
ValueCountFrequency (%)
B 1
50.0%
D 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 941
56.0%
ASCII 738
44.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
287
38.9%
) 59
 
8.0%
( 59
 
8.0%
3 55
 
7.5%
1 54
 
7.3%
, 47
 
6.4%
5 34
 
4.6%
4 32
 
4.3%
2 21
 
2.8%
0 20
 
2.7%
Other values (7) 70
 
9.5%
Hangul
ValueCountFrequency (%)
로 112
 
11.9%
종 93
 
9.9%
서 59
 
6.3%
울 59
 
6.3%
구 59
 
6.3%
시 59
 
6.3%
별 59
 
6.3%
특 59
 
6.3%
동 57
 
6.1%
길 45
 
4.8%
Other values (61) 280
29.8%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct33
Distinct (%)64.7%
Missing10
Missing (%)16.4%
Infinite0
Infinite (%)0.0%
Mean30505.039
Minimum3030
Maximum110862
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size681.0 B
2024-04-06T19:24:28.405073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3030
5-th percentile3076
Q13112
median3126
Q356619.5
95-th percentile110850
Maximum110862
Range107832
Interquartile range (IQR)53507.5

Descriptive statistics

Standard deviation47286.241
Coefficient of variation (CV)1.5501124
Kurtosis-0.68456422
Mean30505.039
Median Absolute Deviation (MAD)26
Skewness1.1592231
Sum1555757
Variance2.2359886 × 109
MonotonicityNot monotonic
2024-04-06T19:24:28.649436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
3126 5
 
8.2%
3112 4
 
6.6%
110850 4
 
6.6%
3140 3
 
4.9%
3128 3
 
4.9%
110320 3
 
4.9%
3190 2
 
3.3%
3125 2
 
3.3%
3097 1
 
1.6%
3100 1
 
1.6%
Other values (23) 23
37.7%
(Missing) 10
16.4%
ValueCountFrequency (%)
3030 1
1.6%
3033 1
1.6%
3070 1
1.6%
3082 1
1.6%
3088 1
1.6%
3096 1
1.6%
3097 1
1.6%
3100 1
1.6%
3101 1
1.6%
3104 1
1.6%
ValueCountFrequency (%)
110862 1
 
1.6%
110855 1
 
1.6%
110850 4
6.6%
110847 1
 
1.6%
110320 3
4.9%
110126 1
 
1.6%
110100 1
 
1.6%
110043 1
 
1.6%
3196 1
 
1.6%
3195 1
 
1.6%

사업장명
Text

Distinct59
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Memory size620.0 B
2024-04-06T19:24:29.041384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length7
Mean length7.8196721
Min length6

Characters and Unicode

Total characters477
Distinct characters108
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

Unique57 ?
Unique (%)93.4%

Sample

1st row광진치과기공소
2nd row조흥치과기공소
3rd row삼광치과기공소
4th row금강치과기공소
5th row원남치과기공소
ValueCountFrequency (%)
월드치과기공소 2
 
3.1%
치과기공소 2
 
3.1%
성일치과기공소 2
 
3.1%
홍우치과기공소 1
 
1.6%
훤치과기공소 1
 
1.6%
수석치과기공소 1
 
1.6%
광진치과기공소 1
 
1.6%
세라치과기공소 1
 
1.6%
이보코리아치과기공소(ivo 1
 
1.6%
lorea 1
 
1.6%
Other values (51) 51
79.7%
2024-04-06T19:24:29.740101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
치 61
12.8%
기 61
12.8%
공 61
12.8%
소 61
12.8%
과 60
12.6%
아 9
 
1.9%
성 4
 
0.8%
진 4
 
0.8%
E 4
 
0.8%
O 4
 
0.8%
Other values (98) 148
31.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 439
92.0%
Uppercase Letter 27
 
5.7%
Space Separator 3
 
0.6%
Close Punctuation 3
 
0.6%
Open Punctuation 3
 
0.6%
Dash Punctuation 1
 
0.2%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
치 61
13.9%
기 61
13.9%
공 61
13.9%
소 61
13.9%
과 60
13.7%
아 9
 
2.1%
성 4
 
0.9%
진 4
 
0.9%
광 3
 
0.7%
트 3
 
0.7%
Other values (78) 112
25.5%
Uppercase Letter
ValueCountFrequency (%)
E 4
14.8%
O 4
14.8%
R 2
 
7.4%
N 2
 
7.4%
B 2
 
7.4%
A 2
 
7.4%
I 2
 
7.4%
L 2
 
7.4%
P 1
 
3.7%
W 1
 
3.7%
Other values (5) 5
18.5%
Space Separator
ValueCountFrequency (%)
3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 439
92.0%
Latin 27
 
5.7%
Common 11
 
2.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
치 61
13.9%
기 61
13.9%
공 61
13.9%
소 61
13.9%
과 60
13.7%
아 9
 
2.1%
성 4
 
0.9%
진 4
 
0.9%
광 3
 
0.7%
트 3
 
0.7%
Other values (78) 112
25.5%
Latin
ValueCountFrequency (%)
E 4
14.8%
O 4
14.8%
R 2
 
7.4%
N 2
 
7.4%
B 2
 
7.4%
A 2
 
7.4%
I 2
 
7.4%
L 2
 
7.4%
P 1
 
3.7%
W 1
 
3.7%
Other values (5) 5
18.5%
Common
ValueCountFrequency (%)
3
27.3%
) 3
27.3%
( 3
27.3%
- 1
 
9.1%
. 1
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 439
92.0%
ASCII 38
 
8.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
치 61
13.9%
기 61
13.9%
공 61
13.9%
소 61
13.9%
과 60
13.7%
아 9
 
2.1%
성 4
 
0.9%
진 4
 
0.9%
광 3
 
0.7%
트 3
 
0.7%
Other values (78) 112
25.5%
ASCII
ValueCountFrequency (%)
E 4
 
10.5%
O 4
 
10.5%
3
 
7.9%
) 3
 
7.9%
( 3
 
7.9%
R 2
 
5.3%
N 2
 
5.3%
B 2
 
5.3%
A 2
 
5.3%
I 2
 
5.3%
Other values (10) 11
28.9%

최종수정일자
Date

UNIQUE 

Distinct61
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size620.0 B
Minimum2008-11-19 10:51:37
Maximum2023-10-30 10:48:01
2024-04-06T19:24:29.980178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:24:30.213312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size620.0 B
I
42 
U
19 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 42
68.9%
U 19
31.1%

Length

2024-04-06T19:24:30.460679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:24:30.648396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 42
68.9%
u 19
31.1%

데이터갱신일자
Date

Distinct22
Distinct (%)36.1%
Missing0
Missing (%)0.0%
Memory size620.0 B
Minimum2018-08-31 23:59:59
Maximum2022-12-07 21:01:00
2024-04-06T19:24:30.823488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:24:31.062182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing61
Missing (%)100.0%
Memory size681.0 B

좌표정보(X)
Real number (ℝ)

Distinct51
Distinct (%)83.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean200044.85
Minimum196226.98
Maximum206593.57
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size681.0 B
2024-04-06T19:24:31.417195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum196226.98
5-th percentile197110.34
Q1198949.61
median200272.08
Q3200885.75
95-th percentile201870.9
Maximum206593.57
Range10366.593
Interquartile range (IQR)1936.1382

Descriptive statistics

Standard deviation1642.2355
Coefficient of variation (CV)0.0082093367
Kurtosis3.4765749
Mean200044.85
Median Absolute Deviation (MAD)948.56272
Skewness0.41518039
Sum12202736
Variance2696937.5
MonotonicityNot monotonic
2024-04-06T19:24:31.693769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
198908.817954963 4
 
6.6%
200373.553278005 3
 
4.9%
197273.428725179 2
 
3.3%
200409.457215188 2
 
3.3%
200259.754525539 2
 
3.3%
201703.941485075 2
 
3.3%
199907.276303708 2
 
3.3%
201220.645080304 1
 
1.6%
199877.823473477 1
 
1.6%
201875.26325709 1
 
1.6%
Other values (41) 41
67.2%
ValueCountFrequency (%)
196226.980999836 1
 
1.6%
196720.635805641 1
 
1.6%
197032.208495172 1
 
1.6%
197110.343672561 1
 
1.6%
197273.428725179 2
3.3%
197374.163421854 1
 
1.6%
198068.926781947 1
 
1.6%
198723.693525114 1
 
1.6%
198899.070878065 1
 
1.6%
198908.817954963 4
6.6%
ValueCountFrequency (%)
206593.574165945 1
1.6%
201876.354761613 1
1.6%
201875.26325709 1
1.6%
201870.899915577 1
1.6%
201861.737848335 1
1.6%
201757.335065238 1
1.6%
201703.941485075 2
3.3%
201627.475436833 1
1.6%
201456.74668255 1
1.6%
201333.928462207 1
1.6%

좌표정보(Y)
Real number (ℝ)

Distinct51
Distinct (%)83.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean452516.7
Minimum451593.91
Maximum456917.24
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size681.0 B
2024-04-06T19:24:31.991396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum451593.91
5-th percentile451941.36
Q1452220.7
median452308.12
Q3452529.73
95-th percentile453415.36
Maximum456917.24
Range5323.3343
Interquartile range (IQR)309.02471

Descriptive statistics

Standard deviation812.05518
Coefficient of variation (CV)0.0017945308
Kurtosis18.318183
Mean452516.7
Median Absolute Deviation (MAD)160.68315
Skewness3.9998271
Sum27603519
Variance659433.61
MonotonicityNot monotonic
2024-04-06T19:24:32.469284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
452231.432531648 4
 
6.6%
452220.701130198 3
 
4.9%
452670.055378124 2
 
3.3%
452251.700692717 2
 
3.3%
452113.150872578 2
 
3.3%
452479.988390252 2
 
3.3%
452468.807532862 2
 
3.3%
452326.594826559 1
 
1.6%
452446.101475566 1
 
1.6%
452427.447562564 1
 
1.6%
Other values (41) 41
67.2%
ValueCountFrequency (%)
451593.907696809 1
1.6%
451848.586506701 1
1.6%
451913.538510101 1
1.6%
451941.362137669 1
1.6%
452037.435821455 1
1.6%
452039.167449221 1
1.6%
452046.21859559 1
1.6%
452087.030190231 1
1.6%
452113.150872578 2
3.3%
452158.870410214 1
1.6%
ValueCountFrequency (%)
456917.242032333 1
1.6%
455860.157008985 1
1.6%
453979.403638553 1
1.6%
453415.364912724 1
1.6%
453057.979171615 1
1.6%
453052.376325937 1
1.6%
452918.575242278 1
1.6%
452771.801703337 1
1.6%
452750.406600165 1
1.6%
452681.538290942 1
1.6%

기공용레스수
Categorical

Distinct3
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size620.0 B
1
49 
<NA>
11 
2
 
1

Length

Max length4
Median length1
Mean length1.5409836
Min length1

Unique

Unique1 ?
Unique (%)1.6%

Sample

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

Common Values

ValueCountFrequency (%)
1 49
80.3%
<NA> 11
 
18.0%
2 1
 
1.6%

Length

2024-04-06T19:24:32.901947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:24:33.189677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 49
80.3%
na 11
 
18.0%
2 1
 
1.6%

원심주조기수
Categorical

IMBALANCE 

Distinct4
Distinct (%)6.6%
Missing0
Missing (%)0.0%
Memory size620.0 B
1
48 
<NA>
11 
3
 
1
2
 
1

Length

Max length4
Median length1
Mean length1.5409836
Min length1

Unique

Unique2 ?
Unique (%)3.3%

Sample

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

Common Values

ValueCountFrequency (%)
1 48
78.7%
<NA> 11
 
18.0%
3 1
 
1.6%
2 1
 
1.6%

Length

2024-04-06T19:24:33.547943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:24:33.844721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 48
78.7%
na 11
 
18.0%
3 1
 
1.6%
2 1
 
1.6%

기공용모터수
Categorical

Distinct6
Distinct (%)9.8%
Missing0
Missing (%)0.0%
Memory size620.0 B
2
36 
<NA>
11 
4
7 
3
5 
5
 
1

Length

Max length4
Median length1
Mean length1.557377
Min length1

Unique

Unique2 ?
Unique (%)3.3%

Sample

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

Common Values

ValueCountFrequency (%)
2 36
59.0%
<NA> 11
 
18.0%
4 7
 
11.5%
3 5
 
8.2%
5 1
 
1.6%
10 1
 
1.6%

Length

2024-04-06T19:24:34.057921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:24:34.340883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 36
59.0%
na 11
 
18.0%
4 7
 
11.5%
3 5
 
8.2%
5 1
 
1.6%
10 1
 
1.6%

아세틸렌수
Categorical

Distinct2
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size620.0 B
1
50 
<NA>
11 

Length

Max length4
Median length1
Mean length1.5409836
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 50
82.0%
<NA> 11
 
18.0%

Length

2024-04-06T19:24:34.631589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:24:34.821094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 50
82.0%
na 11
 
18.0%

치과용프레스수
Categorical

Distinct3
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size620.0 B
1
49 
<NA>
11 
2
 
1

Length

Max length4
Median length1
Mean length1.5409836
Min length1

Unique

Unique1 ?
Unique (%)1.6%

Sample

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

Common Values

ValueCountFrequency (%)
1 49
80.3%
<NA> 11
 
18.0%
2 1
 
1.6%

Length

2024-04-06T19:24:35.027582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:24:35.202054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 49
80.3%
na 11
 
18.0%
2 1
 
1.6%

전기로수
Categorical

Distinct4
Distinct (%)6.6%
Missing0
Missing (%)0.0%
Memory size620.0 B
1
44 
<NA>
11 
2
5 
4
 
1

Length

Max length4
Median length1
Mean length1.5409836
Min length1

Unique

Unique1 ?
Unique (%)1.6%

Sample

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

Common Values

ValueCountFrequency (%)
1 44
72.1%
<NA> 11
 
18.0%
2 5
 
8.2%
4 1
 
1.6%

Length

2024-04-06T19:24:35.439846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:24:35.648292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 44
72.1%
na 11
 
18.0%
2 5
 
8.2%
4 1
 
1.6%

포셀린로수
Categorical

Distinct5
Distinct (%)8.2%
Missing0
Missing (%)0.0%
Memory size620.0 B
1
45 
<NA>
11 
2
 
3
4
 
1
3
 
1

Length

Max length4
Median length1
Mean length1.5409836
Min length1

Unique

Unique2 ?
Unique (%)3.3%

Sample

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

Common Values

ValueCountFrequency (%)
1 45
73.8%
<NA> 11
 
18.0%
2 3
 
4.9%
4 1
 
1.6%
3 1
 
1.6%

Length

2024-04-06T19:24:35.824646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:24:36.024543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 45
73.8%
na 11
 
18.0%
2 3
 
4.9%
4 1
 
1.6%
3 1
 
1.6%

초음파청소기수
Categorical

Distinct3
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size620.0 B
1
49 
<NA>
11 
3
 
1

Length

Max length4
Median length1
Mean length1.5409836
Min length1

Unique

Unique1 ?
Unique (%)1.6%

Sample

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

Common Values

ValueCountFrequency (%)
1 49
80.3%
<NA> 11
 
18.0%
3 1
 
1.6%

Length

2024-04-06T19:24:36.233709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:24:36.794566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 49
80.3%
na 11
 
18.0%
3 1
 
1.6%

서베이어수
Categorical

Distinct3
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size620.0 B
1
46 
<NA>
11 
2
 
4

Length

Max length4
Median length1
Mean length1.5409836
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 46
75.4%
<NA> 11
 
18.0%
2 4
 
6.6%

Length

2024-04-06T19:24:36.977224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:24:37.142722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 46
75.4%
na 11
 
18.0%
2 4
 
6.6%

진동기수
Categorical

IMBALANCE 

Distinct4
Distinct (%)6.6%
Missing0
Missing (%)0.0%
Memory size620.0 B
1
48 
<NA>
11 
4
 
1
2
 
1

Length

Max length4
Median length1
Mean length1.5409836
Min length1

Unique

Unique2 ?
Unique (%)3.3%

Sample

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

Common Values

ValueCountFrequency (%)
1 48
78.7%
<NA> 11
 
18.0%
4 1
 
1.6%
2 1
 
1.6%

Length

2024-04-06T19:24:37.387234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:24:37.590665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 48
78.7%
na 11
 
18.0%
4 1
 
1.6%
2 1
 
1.6%

트리머수
Categorical

Distinct3
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size620.0 B
1
48 
<NA>
11 
2
 
2

Length

Max length4
Median length1
Mean length1.5409836
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 48
78.7%
<NA> 11
 
18.0%
2 2
 
3.3%

Length

2024-04-06T19:24:37.808676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:24:37.972859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 48
78.7%
na 11
 
18.0%
2 2
 
3.3%

기공용컴프레서수
Categorical

Distinct3
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size620.0 B
1
37 
<NA>
23 
0
 
1

Length

Max length4
Median length1
Mean length2.1311475
Min length1

Unique

Unique1 ?
Unique (%)1.6%

Sample

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

Common Values

ValueCountFrequency (%)
1 37
60.7%
<NA> 23
37.7%
0 1
 
1.6%

Length

2024-04-06T19:24:38.202323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:24:38.461106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 37
60.7%
na 23
37.7%
0 1
 
1.6%

샌드기수
Categorical

Distinct5
Distinct (%)8.2%
Missing0
Missing (%)0.0%
Memory size620.0 B
1
35 
<NA>
23 
0
 
1
4
 
1
2
 
1

Length

Max length4
Median length1
Mean length2.1311475
Min length1

Unique

Unique3 ?
Unique (%)4.9%

Sample

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

Common Values

ValueCountFrequency (%)
1 35
57.4%
<NA> 23
37.7%
0 1
 
1.6%
4 1
 
1.6%
2 1
 
1.6%

Length

2024-04-06T19:24:38.749705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:24:38.920259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 35
57.4%
na 23
37.7%
0 1
 
1.6%
4 1
 
1.6%
2 1
 
1.6%

진공매몰기수
Categorical

Distinct4
Distinct (%)6.6%
Missing0
Missing (%)0.0%
Memory size620.0 B
1
36 
<NA>
23 
0
 
1
3
 
1

Length

Max length4
Median length1
Mean length2.1311475
Min length1

Unique

Unique2 ?
Unique (%)3.3%

Sample

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

Common Values

ValueCountFrequency (%)
1 36
59.0%
<NA> 23
37.7%
0 1
 
1.6%
3 1
 
1.6%

Length

2024-04-06T19:24:39.162233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:24:39.360975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 36
59.0%
na 23
37.7%
0 1
 
1.6%
3 1
 
1.6%

핀덱스수
Categorical

Distinct4
Distinct (%)6.6%
Missing0
Missing (%)0.0%
Memory size620.0 B
1
36 
<NA>
23 
0
 
1
2
 
1

Length

Max length4
Median length1
Mean length2.1311475
Min length1

Unique

Unique2 ?
Unique (%)3.3%

Sample

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

Common Values

ValueCountFrequency (%)
1 36
59.0%
<NA> 23
37.7%
0 1
 
1.6%
2 1
 
1.6%

Length

2024-04-06T19:24:39.567764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:24:39.757609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 36
59.0%
na 23
37.7%
0 1
 
1.6%
2 1
 
1.6%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)기공용레스수원심주조기수기공용모터수아세틸렌수치과용프레스수전기로수포셀린로수초음파청소기수서베이어수진동기수트리머수기공용컴프레서수샌드기수진공매몰기수핀덱스수
03000000PHMB30981300003406230000119811120<NA>1영업/정상13영업중<NA><NA><NA><NA>02-743-7145<NA>110840서울특별시 종로구 창신1동 222번지 9호 5층서울특별시 종로구 종로 335-5, 5층 (창신동)3104광진치과기공소2012-01-03 08:51:49I2018-08-31 23:59:59.0<NA>201220.64508452326.594827112111111111111
13000000PHMB31976300003406230000119760807201804093폐업3폐업20180409<NA><NA><NA>02-765-1672<NA>110807서울특별시 종로구 돈의동 44번지 1호서울특별시 종로구 돈화문로11길 18 (돈의동)3133조흥치과기공소2018-04-09 18:16:16I2018-08-31 23:59:59.0<NA>199079.907986452265.64028112111111111111
23000000PHMB31976300003406230000219760807<NA>1영업/정상13영업중<NA><NA><NA><NA>02-765-2628<NA>110850서울특별시 종로구 효제동 227번지 1호서울특별시 종로구 종로35길 19 (효제동)3126삼광치과기공소2011-11-18 13:31:57I2018-08-31 23:59:59.0<NA>200265.939726452194.47311411211111111<NA><NA><NA><NA>
33000000PHMB31976300003406230000319760807201305093폐업3폐업20130509<NA><NA><NA>02-744-4652<NA>110850서울특별시 종로구 효제동 220번지서울특별시 종로구 종로35길 29 (효제동)110850금강치과기공소2013-05-09 15:58:42I2018-08-31 23:59:59.0<NA>200256.684542452248.63369112111111111111
43000000PHMB31978300003406230000119780616<NA>1영업/정상13영업중<NA><NA><NA><NA>02-763-8305<NA><NA>서울특별시 종로구 효제동 171번지 23호 5층서울특별시 종로구 종로39길 33, 5층 (효제동)3126원남치과기공소2017-09-18 17:34:50I2018-08-31 23:59:59.0<NA>200373.553278452220.70113112111111111111
53000000PHMB31978300003406230000219770831201301313폐업3폐업20130131<NA><NA><NA>02-737-3452<NA>110100서울특별시 종로구 교남동 74번지 1호서울특별시 종로구 통일로 174 (교남동)110100아트치과기공소2013-01-31 13:06:30I2018-08-31 23:59:59.0<NA>196720.635806451913.53851112111111111111
63000000PHMB31982300003406230000119821130201205013폐업3폐업20120430<NA><NA><NA>02-743-5442<NA>110320서울특별시 종로구 낙원동 235번지 3층서울특별시 종로구 종로17길 50, 3층 (낙원동)110320평화치과기공소2012-05-01 09:16:08I2018-08-31 23:59:59.0<NA>198908.817955452231.432532112111111111111
73000000PHMB31985300003406230000119850722201301023폐업3폐업20121221<NA><NA><NA>02-738-2552<NA>110043서울특별시 종로구 통인동 118번지 3호서울특별시 종로구 자하문로 41-1 (통인동)110043명보치과기공소2013-01-02 14:08:41I2018-08-31 23:59:59.0<NA>197374.163422453052.376326112111111111111
83000000PHMB31986300003406230000119860317201411073폐업3폐업20141107<NA><NA><NA>02-742-2005<NA>110850서울특별시 종로구 효제동 218번지 태화빌딩 4층서울특별시 종로구 종로35길 28, 4층 (효제동)110850백제치과기공소2014-11-07 16:21:06I2018-08-31 23:59:59.0<NA>200278.353783452242.710933112111111111111
93000000PHMB31988300003406230000119880506201203163폐업3폐업20120315<NA><NA><NA>763-9370<NA>110850서울특별시 종로구 효제동 171번지 23호 지산앵글 5층, 6층서울특별시 종로구 종로39길 33, 5,6층 (효제동)110850서울치과기공소2012-03-16 14:25:55I2018-08-31 23:59:59.0<NA>200373.553278452220.70113112111111111111
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)기공용레스수원심주조기수기공용모터수아세틸렌수치과용프레스수전기로수포셀린로수초음파청소기수서베이어수진동기수트리머수기공용컴프레서수샌드기수진공매몰기수핀덱스수
513000000PHMB32019300003406230000220190510<NA>1영업/정상13영업중<NA><NA><NA><NA>027236000<NA><NA>서울특별시 종로구 청진동 246번지 D타워서울특별시 종로구 종로3길 17, D타워 지하1층 B101호 (청진동)3155더스퀘어치과기공소2020-09-16 11:15:43U2020-09-18 02:40:00.0<NA>198068.926782452087.03019113111111111111
523000000PHMB32020300003406230000120200918<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 숭인동 183-1서울특별시 종로구 종로 391, 4층 (숭인동)3112이플랜(E-PLAN) 치과기공소2020-11-18 16:14:22U2020-11-20 02:40:00.0<NA>201757.335065452501.950506114111111211111
533000000PHMB32021300003406230000120130219<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 숭인동 183-13서울특별시 종로구 종로 385, 3층 301호 (숭인동)3112성일치과기공소2023-01-26 16:48:13U2022-11-30 22:08:00.0<NA>201703.941485452479.98839<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
543000000PHMB32021300003406230000220211222<NA>5제외/삭제/전출15전출<NA><NA><NA><NA>02-743-9922<NA><NA>서울특별시 종로구 낙원동 235 조양빌딩 5층서울특별시 종로구 종로17길 50, 조양빌딩 5층 (낙원동)3140아크로치과기공소2022-07-05 15:39:25U2021-12-07 00:07:00.0<NA>198908.817955452231.432532<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
553000000PHMB32022300003406230000120180412<NA>1영업/정상13영업중<NA><NA><NA><NA>02-427-2881<NA><NA>서울특별시 종로구 이화동 27-2 부광빌딩서울특별시 종로구 이화장1가길 6, 부광빌딩 201호 (이화동)3100훤치과기공소2022-04-26 11:02:10I2021-12-03 22:08:00.0<NA>200391.383911452750.4066<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
563000000PHMB32022300003406230000219950701<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 낙원동 235 조양빌딩 5층서울특별시 종로구 종로17길 50, 조양빌딩 5층 (낙원동)3140홍우치과기공소2022-08-16 09:39:40I2021-12-07 23:08:00.0<NA>198908.817955452231.432532<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
573000000PHMB3202230000340623000031994-12-17<NA>1영업/정상13영업중<NA><NA><NA><NA>02-776-2804<NA><NA>서울특별시 종로구 관철동 6-2서울특별시 종로구 삼일대로 393-1, 6층 (관철동)3190명동치과기공소2023-07-10 14:14:54U2022-12-06 23:03:00.0<NA>198949.612742451593.907697<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
583000000PHMB3202330000340623000012014-12-08<NA>1영업/정상13영업중<NA><NA><NA><NA>02-432-1559<NA><NA>서울특별시 종로구 숭인동 183-13서울특별시 종로구 종로 385, 3층 (숭인동)3112수석치과기공소2023-07-10 14:21:05U2022-12-06 23:03:00.0<NA>206593.574166456917.242032<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
593000000PHMB3202330000340623000022018-07-26<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6401-2804<NA><NA>서울특별시 종로구 창신동 647-19서울특별시 종로구 창신4가길 5, 4층 (창신동)3097태양치과기공소2023-05-02 09:18:42U2022-12-05 00:04:00.0<NA>200832.242982452406.019706<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
603000000PHMB3202330000340623000032000-03-22<NA>1영업/정상13영업중<NA><NA><NA><NA>02-392-5672<NA><NA>서울특별시 종로구 무악동 45-75서울특별시 종로구 통일로14길 10, 3층 (무악동)3030썬아트치과기공소2023-06-08 12:23:12I2022-12-05 23:00:00.0<NA>196226.981452529.725843<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>