Overview

Dataset statistics

Number of variables40
Number of observations122
Missing cells941
Missing cells (%)19.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory41.5 KiB
Average record size in memory348.1 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
Author동대문구
URLhttps://data.seoul.go.kr/dataList/OA-16459/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
아세틸렌수 is highly imbalanced (50.2%)Imbalance
인허가취소일자 has 122 (100.0%) missing valuesMissing
폐업일자 has 67 (54.9%) missing valuesMissing
휴업시작일자 has 122 (100.0%) missing valuesMissing
휴업종료일자 has 122 (100.0%) missing valuesMissing
재개업일자 has 122 (100.0%) missing valuesMissing
전화번호 has 23 (18.9%) missing valuesMissing
소재지면적 has 122 (100.0%) missing valuesMissing
소재지우편번호 has 61 (50.0%) missing valuesMissing
지번주소 has 2 (1.6%) missing valuesMissing
도로명주소 has 5 (4.1%) missing valuesMissing
도로명우편번호 has 14 (11.5%) missing valuesMissing
업태구분명 has 122 (100.0%) missing valuesMissing
좌표정보(X) has 3 (2.5%) missing valuesMissing
좌표정보(Y) has 3 (2.5%) missing valuesMissing
기공용모터수 has 31 (25.4%) 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 06:30:47.691507
Analysis finished2024-05-11 06:30:48.903928
Duration1.21 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
3050000
122 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3050000
2nd row3050000
3rd row3050000
4th row3050000
5th row3050000

Common Values

ValueCountFrequency (%)
3050000 122
100.0%

Length

2024-05-11T06:30:49.117672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:30:49.497060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3050000 122
100.0%

관리번호
Text

UNIQUE 

Distinct122
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-05-11T06:30:49.947404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters3050
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

Unique122 ?
Unique (%)100.0%

Sample

1st rowPHMB319763050034062300001
2nd rowPHMB319813050034062300001
3rd rowPHMB319853050034062300001
4th rowPHMB319863050034062300001
5th rowPHMB319863050034062300002
ValueCountFrequency (%)
phmb319763050034062300001 1
 
0.8%
phmb320163050034062300003 1
 
0.8%
phmb320163050034062300001 1
 
0.8%
phmb320153050034062300008 1
 
0.8%
phmb320153050034062300007 1
 
0.8%
phmb320153050034062300006 1
 
0.8%
phmb320153050034062300005 1
 
0.8%
phmb320153050034062300004 1
 
0.8%
phmb320153050034062300003 1
 
0.8%
phmb320153050034062300002 1
 
0.8%
Other values (112) 112
91.8%
2024-05-11T06:30:50.915766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1139
37.3%
3 519
17.0%
2 284
 
9.3%
6 149
 
4.9%
5 149
 
4.9%
4 149
 
4.9%
P 122
 
4.0%
H 122
 
4.0%
M 122
 
4.0%
B 122
 
4.0%
Other values (4) 173
 
5.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2562
84.0%
Uppercase Letter 488
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1139
44.5%
3 519
20.3%
2 284
 
11.1%
6 149
 
5.8%
5 149
 
5.8%
4 149
 
5.8%
1 108
 
4.2%
9 30
 
1.2%
7 23
 
0.9%
8 12
 
0.5%
Uppercase Letter
ValueCountFrequency (%)
P 122
25.0%
H 122
25.0%
M 122
25.0%
B 122
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2562
84.0%
Latin 488
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1139
44.5%
3 519
20.3%
2 284
 
11.1%
6 149
 
5.8%
5 149
 
5.8%
4 149
 
5.8%
1 108
 
4.2%
9 30
 
1.2%
7 23
 
0.9%
8 12
 
0.5%
Latin
ValueCountFrequency (%)
P 122
25.0%
H 122
25.0%
M 122
25.0%
B 122
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3050
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1139
37.3%
3 519
17.0%
2 284
 
9.3%
6 149
 
4.9%
5 149
 
4.9%
4 149
 
4.9%
P 122
 
4.0%
H 122
 
4.0%
M 122
 
4.0%
B 122
 
4.0%
Other values (4) 173
 
5.7%

인허가일자
Date

Distinct118
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Minimum1976-11-24 00:00:00
Maximum2024-05-07 00:00:00
2024-05-11T06:30:51.363337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T06:30:51.822012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing122
Missing (%)100.0%
Memory size1.2 KiB

영업상태코드
Categorical

Distinct4
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
1
63 
3
52 
5
 
5
4
 
2

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 (%)
1 63
51.6%
3 52
42.6%
5 5
 
4.1%
4 2
 
1.6%

Length

2024-05-11T06:30:52.266680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:30:52.642275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 63
51.6%
3 52
42.6%
5 5
 
4.1%
4 2
 
1.6%

영업상태명
Categorical

Distinct4
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
영업/정상
63 
폐업
52 
제외/삭제/전출
 
5
취소/말소/만료/정지/중지
 
2

Length

Max length14
Median length5
Mean length3.9918033
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 63
51.6%
폐업 52
42.6%
제외/삭제/전출 5
 
4.1%
취소/말소/만료/정지/중지 2
 
1.6%

Length

2024-05-11T06:30:53.070314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:30:53.432421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 63
51.6%
폐업 52
42.6%
제외/삭제/전출 5
 
4.1%
취소/말소/만료/정지/중지 2
 
1.6%

상세영업상태코드
Categorical

Distinct4
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
13
63 
3
52 
15
 
5
24
 
2

Length

Max length2
Median length2
Mean length1.5737705
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 63
51.6%
3 52
42.6%
15 5
 
4.1%
24 2
 
1.6%

Length

2024-05-11T06:30:53.822002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:30:54.186161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 63
51.6%
3 52
42.6%
15 5
 
4.1%
24 2
 
1.6%

상세영업상태명
Categorical

Distinct4
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
영업중
63 
폐업
52 
전출
 
5
직권폐업
 
2

Length

Max length4
Median length3
Mean length2.5491803
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 63
51.6%
폐업 52
42.6%
전출 5
 
4.1%
직권폐업 2
 
1.6%

Length

2024-05-11T06:30:54.590236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:30:55.007001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 63
51.6%
폐업 52
42.6%
전출 5
 
4.1%
직권폐업 2
 
1.6%

폐업일자
Date

MISSING 

Distinct52
Distinct (%)94.5%
Missing67
Missing (%)54.9%
Memory size1.1 KiB
Minimum2001-07-27 00:00:00
Maximum2024-04-23 00:00:00
2024-05-11T06:30:55.392208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T06:30:55.890094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing122
Missing (%)100.0%
Memory size1.2 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing122
Missing (%)100.0%
Memory size1.2 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing122
Missing (%)100.0%
Memory size1.2 KiB

전화번호
Text

MISSING 

Distinct97
Distinct (%)98.0%
Missing23
Missing (%)18.9%
Memory size1.1 KiB
2024-05-11T06:30:56.528280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length13
Mean length9.6868687
Min length7

Characters and Unicode

Total characters959
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique95 ?
Unique (%)96.0%

Sample

1st row967-7398
2nd row9663918
3rd row926-6120
4th row928-5205
5th row965-7747
ValueCountFrequency (%)
2246-2804 2
 
2.0%
2217-8630 2
 
2.0%
070-8281-3807 1
 
1.0%
432-1559 1
 
1.0%
02-2246-2204 1
 
1.0%
02-594-7868 1
 
1.0%
02-6215-2804 1
 
1.0%
070-5015-3626 1
 
1.0%
966-4255 1
 
1.0%
02-384-2804 1
 
1.0%
Other values (87) 87
87.9%
2024-05-11T06:30:57.599196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 208
21.7%
- 135
14.1%
0 106
11.1%
8 82
 
8.6%
4 77
 
8.0%
9 72
 
7.5%
7 66
 
6.9%
3 62
 
6.5%
6 52
 
5.4%
1 49
 
5.1%
Other values (3) 50
 
5.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 822
85.7%
Dash Punctuation 135
 
14.1%
Other Punctuation 1
 
0.1%
Modifier Symbol 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 208
25.3%
0 106
12.9%
8 82
 
10.0%
4 77
 
9.4%
9 72
 
8.8%
7 66
 
8.0%
3 62
 
7.5%
6 52
 
6.3%
1 49
 
6.0%
5 48
 
5.8%
Dash Punctuation
ValueCountFrequency (%)
- 135
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 959
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 208
21.7%
- 135
14.1%
0 106
11.1%
8 82
 
8.6%
4 77
 
8.0%
9 72
 
7.5%
7 66
 
6.9%
3 62
 
6.5%
6 52
 
5.4%
1 49
 
5.1%
Other values (3) 50
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 959
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 208
21.7%
- 135
14.1%
0 106
11.1%
8 82
 
8.6%
4 77
 
8.0%
9 72
 
7.5%
7 66
 
6.9%
3 62
 
6.5%
6 52
 
5.4%
1 49
 
5.1%
Other values (3) 50
 
5.2%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing122
Missing (%)100.0%
Memory size1.2 KiB

소재지우편번호
Text

MISSING 

Distinct32
Distinct (%)52.5%
Missing61
Missing (%)50.0%
Memory size1.1 KiB
2024-05-11T06:30:58.066019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0163934
Min length6

Characters and Unicode

Total characters367
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

Unique17 ?
Unique (%)27.9%

Sample

1st row130862
2nd row130010
3rd row130823
4th row130100
5th row130050
ValueCountFrequency (%)
130110 7
 
11.5%
130823 5
 
8.2%
130812 4
 
6.6%
130844 3
 
4.9%
130100 3
 
4.9%
130060 3
 
4.9%
130811 3
 
4.9%
130846 2
 
3.3%
130845 2
 
3.3%
130810 2
 
3.3%
Other values (22) 27
44.3%
2024-05-11T06:30:59.003466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 100
27.2%
1 95
25.9%
3 69
18.8%
8 43
11.7%
2 16
 
4.4%
4 12
 
3.3%
7 12
 
3.3%
6 11
 
3.0%
5 7
 
1.9%
9 1
 
0.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 366
99.7%
Dash Punctuation 1
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 100
27.3%
1 95
26.0%
3 69
18.9%
8 43
11.7%
2 16
 
4.4%
4 12
 
3.3%
7 12
 
3.3%
6 11
 
3.0%
5 7
 
1.9%
9 1
 
0.3%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 367
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 100
27.2%
1 95
25.9%
3 69
18.8%
8 43
11.7%
2 16
 
4.4%
4 12
 
3.3%
7 12
 
3.3%
6 11
 
3.0%
5 7
 
1.9%
9 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 367
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 100
27.2%
1 95
25.9%
3 69
18.8%
8 43
11.7%
2 16
 
4.4%
4 12
 
3.3%
7 12
 
3.3%
6 11
 
3.0%
5 7
 
1.9%
9 1
 
0.3%

지번주소
Text

MISSING 

Distinct111
Distinct (%)92.5%
Missing2
Missing (%)1.6%
Memory size1.1 KiB
2024-05-11T06:30:59.740003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length33
Mean length26.591667
Min length19

Characters and Unicode

Total characters3191
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

Unique103 ?
Unique (%)85.8%

Sample

1st row서울특별시 동대문구 제기동 483번지
2nd row서울특별시 동대문구 청량리동 19번지 3호
3rd row서울특별시 동대문구 용두동 112번지 5호
4th row서울특별시 동대문구 용두동 231번지 6호 , 3층
5th row서울특별시 동대문구 신설동 23번지
ValueCountFrequency (%)
서울특별시 120
 
18.0%
동대문구 120
 
18.0%
신설동 30
 
4.5%
장안동 18
 
2.7%
3층 14
 
2.1%
제기동 14
 
2.1%
1호 14
 
2.1%
용두동 13
 
1.9%
2층 12
 
1.8%
8호 10
 
1.5%
Other values (181) 302
45.3%
2024-05-11T06:31:01.181574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
548
 
17.2%
동 242
 
7.6%
1 136
 
4.3%
문 125
 
3.9%
서 121
 
3.8%
시 121
 
3.8%
대 121
 
3.8%
특 120
 
3.8%
별 120
 
3.8%
구 120
 
3.8%
Other values (78) 1417
44.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1909
59.8%
Decimal Number 667
 
20.9%
Space Separator 548
 
17.2%
Dash Punctuation 26
 
0.8%
Open Punctuation 16
 
0.5%
Close Punctuation 16
 
0.5%
Other Punctuation 7
 
0.2%
Uppercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 242
12.7%
문 125
 
6.5%
서 121
 
6.3%
시 121
 
6.3%
대 121
 
6.3%
특 120
 
6.3%
별 120
 
6.3%
구 120
 
6.3%
울 120
 
6.3%
호 110
 
5.8%
Other values (61) 589
30.9%
Decimal Number
ValueCountFrequency (%)
1 136
20.4%
3 94
14.1%
2 94
14.1%
4 76
11.4%
0 53
 
7.9%
9 45
 
6.7%
7 44
 
6.6%
8 44
 
6.6%
5 42
 
6.3%
6 39
 
5.8%
Uppercase Letter
ValueCountFrequency (%)
A 1
50.0%
F 1
50.0%
Space Separator
ValueCountFrequency (%)
548
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 26
100.0%
Open Punctuation
ValueCountFrequency (%)
( 16
100.0%
Close Punctuation
ValueCountFrequency (%)
) 16
100.0%
Other Punctuation
ValueCountFrequency (%)
, 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1909
59.8%
Common 1280
40.1%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 242
12.7%
문 125
 
6.5%
서 121
 
6.3%
시 121
 
6.3%
대 121
 
6.3%
특 120
 
6.3%
별 120
 
6.3%
구 120
 
6.3%
울 120
 
6.3%
호 110
 
5.8%
Other values (61) 589
30.9%
Common
ValueCountFrequency (%)
548
42.8%
1 136
 
10.6%
3 94
 
7.3%
2 94
 
7.3%
4 76
 
5.9%
0 53
 
4.1%
9 45
 
3.5%
7 44
 
3.4%
8 44
 
3.4%
5 42
 
3.3%
Other values (5) 104
 
8.1%
Latin
ValueCountFrequency (%)
A 1
50.0%
F 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1909
59.8%
ASCII 1282
40.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
548
42.7%
1 136
 
10.6%
3 94
 
7.3%
2 94
 
7.3%
4 76
 
5.9%
0 53
 
4.1%
9 45
 
3.5%
7 44
 
3.4%
8 44
 
3.4%
5 42
 
3.3%
Other values (7) 106
 
8.3%
Hangul
ValueCountFrequency (%)
동 242
12.7%
문 125
 
6.5%
서 121
 
6.3%
시 121
 
6.3%
대 121
 
6.3%
특 120
 
6.3%
별 120
 
6.3%
구 120
 
6.3%
울 120
 
6.3%
호 110
 
5.8%
Other values (61) 589
30.9%

도로명주소
Text

MISSING 

Distinct113
Distinct (%)96.6%
Missing5
Missing (%)4.1%
Memory size1.1 KiB
2024-05-11T06:31:02.046062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length38
Mean length30.367521
Min length23

Characters and Unicode

Total characters3553
Distinct characters102
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

Unique109 ?
Unique (%)93.2%

Sample

1st row서울특별시 동대문구 왕산로 74-1, 3층 (용두동)
2nd row서울특별시 동대문구 한빛로 60, 3층 (용두동)
3rd row서울특별시 동대문구 한빛로 26, 4층 (신설동)
4th row서울특별시 동대문구 난계로26길 5-14, 3층 (신설동)
5th row서울특별시 동대문구 약령중앙로8길 15, 4층 (제기동)
ValueCountFrequency (%)
서울특별시 117
 
16.7%
동대문구 117
 
16.7%
3층 27
 
3.9%
신설동 25
 
3.6%
장안동 23
 
3.3%
4층 22
 
3.1%
2층 19
 
2.7%
제기동 11
 
1.6%
답십리동 11
 
1.6%
용두동 11
 
1.6%
Other values (180) 316
45.2%
2024-05-11T06:31:03.752429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
582
 
16.4%
동 238
 
6.7%
대 143
 
4.0%
문 127
 
3.6%
( 122
 
3.4%
) 122
 
3.4%
시 121
 
3.4%
서 120
 
3.4%
로 118
 
3.3%
울 117
 
3.3%
Other values (92) 1743
49.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2077
58.5%
Space Separator 582
 
16.4%
Decimal Number 524
 
14.7%
Open Punctuation 122
 
3.4%
Close Punctuation 122
 
3.4%
Other Punctuation 106
 
3.0%
Dash Punctuation 19
 
0.5%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 238
 
11.5%
대 143
 
6.9%
문 127
 
6.1%
시 121
 
5.8%
서 120
 
5.8%
로 118
 
5.7%
울 117
 
5.6%
구 117
 
5.6%
별 117
 
5.6%
특 117
 
5.6%
Other values (76) 742
35.7%
Decimal Number
ValueCountFrequency (%)
1 91
17.4%
3 90
17.2%
2 75
14.3%
4 67
12.8%
5 42
8.0%
0 39
7.4%
7 35
 
6.7%
6 32
 
6.1%
8 30
 
5.7%
9 23
 
4.4%
Space Separator
ValueCountFrequency (%)
582
100.0%
Open Punctuation
ValueCountFrequency (%)
( 122
100.0%
Close Punctuation
ValueCountFrequency (%)
) 122
100.0%
Other Punctuation
ValueCountFrequency (%)
, 106
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 19
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2077
58.5%
Common 1475
41.5%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 238
 
11.5%
대 143
 
6.9%
문 127
 
6.1%
시 121
 
5.8%
서 120
 
5.8%
로 118
 
5.7%
울 117
 
5.6%
구 117
 
5.6%
별 117
 
5.6%
특 117
 
5.6%
Other values (76) 742
35.7%
Common
ValueCountFrequency (%)
582
39.5%
( 122
 
8.3%
) 122
 
8.3%
, 106
 
7.2%
1 91
 
6.2%
3 90
 
6.1%
2 75
 
5.1%
4 67
 
4.5%
5 42
 
2.8%
0 39
 
2.6%
Other values (5) 139
 
9.4%
Latin
ValueCountFrequency (%)
A 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2077
58.5%
ASCII 1476
41.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
582
39.4%
( 122
 
8.3%
) 122
 
8.3%
, 106
 
7.2%
1 91
 
6.2%
3 90
 
6.1%
2 75
 
5.1%
4 67
 
4.5%
5 42
 
2.8%
0 39
 
2.6%
Other values (6) 140
 
9.5%
Hangul
ValueCountFrequency (%)
동 238
 
11.5%
대 143
 
6.9%
문 127
 
6.1%
시 121
 
5.8%
서 120
 
5.8%
로 118
 
5.7%
울 117
 
5.6%
구 117
 
5.6%
별 117
 
5.6%
특 117
 
5.6%
Other values (76) 742
35.7%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct62
Distinct (%)57.4%
Missing14
Missing (%)11.5%
Infinite0
Infinite (%)0.0%
Mean14438.713
Minimum2410
Maximum130878
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-05-11T06:31:04.274584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2410
5-th percentile2436
Q12534.25
median2582
Q32629
95-th percentile130830.8
Maximum130878
Range128468
Interquartile range (IQR)94.75

Descriptive statistics

Standard deviation37355.786
Coefficient of variation (CV)2.5871964
Kurtosis6.2423152
Mean14438.713
Median Absolute Deviation (MAD)47
Skewness2.8507909
Sum1559381
Variance1.3954547 × 109
MonotonicityNot monotonic
2024-05-11T06:31:04.858818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2582 13
 
10.7%
2586 7
 
5.7%
2636 6
 
4.9%
2644 6
 
4.9%
2603 4
 
3.3%
2570 4
 
3.3%
2584 3
 
2.5%
2580 3
 
2.5%
2436 2
 
1.6%
2443 2
 
1.6%
Other values (52) 58
47.5%
(Missing) 14
 
11.5%
ValueCountFrequency (%)
2410 1
0.8%
2418 1
0.8%
2419 1
0.8%
2420 1
0.8%
2435 1
0.8%
2436 2
1.6%
2439 1
0.8%
2443 2
1.6%
2453 1
0.8%
2460 1
0.8%
ValueCountFrequency (%)
130878 1
0.8%
130867 1
0.8%
130857 1
0.8%
130846 1
0.8%
130838 1
0.8%
130835 1
0.8%
130823 1
0.8%
130821 1
0.8%
130812 1
0.8%
130803 1
0.8%

사업장명
Text

Distinct114
Distinct (%)93.4%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-05-11T06:31:05.495347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length26
Mean length8.5491803
Min length4

Characters and Unicode

Total characters1043
Distinct characters182
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

Unique106 ?
Unique (%)86.9%

Sample

1st row조양치과기공소
2nd row태성치과기공소
3rd row동산치과기공소
4th row명보치과기공소
5th row시테크치과기공소
ValueCountFrequency (%)
치과기공소 4
 
3.0%
주치과기공소 2
 
1.5%
다원치과기공소 2
 
1.5%
로운치과기공소 2
 
1.5%
다올치과기공소 2
 
1.5%
알파치과기공소 2
 
1.5%
신일치과기공소 2
 
1.5%
장수치과기공소 2
 
1.5%
제이치과기공소 2
 
1.5%
dental 2
 
1.5%
Other values (112) 112
83.6%
2024-05-11T06:31:06.523801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
치 114
 
10.9%
기 112
 
10.7%
공 112
 
10.7%
소 112
 
10.7%
과 111
 
10.6%
이 24
 
2.3%
) 14
 
1.3%
( 14
 
1.3%
12
 
1.2%
스 11
 
1.1%
Other values (172) 407
39.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 909
87.2%
Lowercase Letter 50
 
4.8%
Uppercase Letter 35
 
3.4%
Close Punctuation 14
 
1.3%
Open Punctuation 14
 
1.3%
Space Separator 12
 
1.2%
Other Punctuation 6
 
0.6%
Decimal Number 2
 
0.2%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
치 114
 
12.5%
기 112
 
12.3%
공 112
 
12.3%
소 112
 
12.3%
과 111
 
12.2%
이 24
 
2.6%
스 11
 
1.2%
덴 10
 
1.1%
탈 10
 
1.1%
트 8
 
0.9%
Other values (135) 285
31.4%
Uppercase Letter
ValueCountFrequency (%)
B 6
17.1%
M 5
14.3%
A 5
14.3%
C 3
8.6%
S 3
8.6%
T 2
 
5.7%
L 2
 
5.7%
P 2
 
5.7%
O 1
 
2.9%
D 1
 
2.9%
Other values (5) 5
14.3%
Lowercase Letter
ValueCountFrequency (%)
l 9
18.0%
e 7
14.0%
a 7
14.0%
t 6
12.0%
n 3
 
6.0%
u 3
 
6.0%
b 2
 
4.0%
d 2
 
4.0%
i 2
 
4.0%
o 2
 
4.0%
Other values (4) 7
14.0%
Other Punctuation
ValueCountFrequency (%)
. 5
83.3%
& 1
 
16.7%
Decimal Number
ValueCountFrequency (%)
1 1
50.0%
3 1
50.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Space Separator
ValueCountFrequency (%)
12
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 909
87.2%
Latin 85
 
8.1%
Common 49
 
4.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
치 114
 
12.5%
기 112
 
12.3%
공 112
 
12.3%
소 112
 
12.3%
과 111
 
12.2%
이 24
 
2.6%
스 11
 
1.2%
덴 10
 
1.1%
탈 10
 
1.1%
트 8
 
0.9%
Other values (135) 285
31.4%
Latin
ValueCountFrequency (%)
l 9
 
10.6%
e 7
 
8.2%
a 7
 
8.2%
t 6
 
7.1%
B 6
 
7.1%
M 5
 
5.9%
A 5
 
5.9%
n 3
 
3.5%
u 3
 
3.5%
C 3
 
3.5%
Other values (19) 31
36.5%
Common
ValueCountFrequency (%)
) 14
28.6%
( 14
28.6%
12
24.5%
. 5
 
10.2%
& 1
 
2.0%
- 1
 
2.0%
1 1
 
2.0%
3 1
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 909
87.2%
ASCII 134
 
12.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
치 114
 
12.5%
기 112
 
12.3%
공 112
 
12.3%
소 112
 
12.3%
과 111
 
12.2%
이 24
 
2.6%
스 11
 
1.2%
덴 10
 
1.1%
탈 10
 
1.1%
트 8
 
0.9%
Other values (135) 285
31.4%
ASCII
ValueCountFrequency (%)
) 14
 
10.4%
( 14
 
10.4%
12
 
9.0%
l 9
 
6.7%
e 7
 
5.2%
a 7
 
5.2%
t 6
 
4.5%
B 6
 
4.5%
M 5
 
3.7%
A 5
 
3.7%
Other values (27) 49
36.6%

최종수정일자
Date

UNIQUE 

Distinct122
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Minimum2009-01-06 13:21:39
Maximum2024-05-07 15:48:40
2024-05-11T06:31:06.946205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T06:31:07.387346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct3
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
I
75 
U
45 
D
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 75
61.5%
U 45
36.9%
D 2
 
1.6%

Length

2024-05-11T06:31:07.831924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:31:08.173455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 75
61.5%
u 45
36.9%
d 2
 
1.6%

데이터갱신일자
Date

Distinct54
Distinct (%)44.3%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:09:00
2024-05-11T06:31:08.598802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T06:31:09.099654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing122
Missing (%)100.0%
Memory size1.2 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct90
Distinct (%)75.6%
Missing3
Missing (%)2.5%
Infinite0
Infinite (%)0.0%
Mean204006.41
Minimum202045.58
Maximum206405.43
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-05-11T06:31:09.555806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum202045.58
5-th percentile202152.44
Q1202450.67
median204108.68
Q3205494.72
95-th percentile205986.03
Maximum206405.43
Range4359.8485
Interquartile range (IQR)3044.0535

Descriptive statistics

Standard deviation1461.3249
Coefficient of variation (CV)0.0071631321
Kurtosis-1.5864192
Mean204006.41
Median Absolute Deviation (MAD)1503.2018
Skewness0.024794695
Sum24276763
Variance2135470.4
MonotonicityNot monotonic
2024-05-11T06:31:10.099502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
205611.881061981 6
 
4.9%
202257.963017155 4
 
3.3%
204377.957277782 3
 
2.5%
202209.384958258 3
 
2.5%
205981.745634734 3
 
2.5%
202159.285360366 3
 
2.5%
203317.920355213 2
 
1.6%
202773.303661362 2
 
1.6%
202123.025510581 2
 
1.6%
202249.681763064 2
 
1.6%
Other values (80) 89
73.0%
(Missing) 3
 
2.5%
ValueCountFrequency (%)
202045.581261433 1
 
0.8%
202100.173742421 2
1.6%
202123.025510581 2
1.6%
202139.388924604 1
 
0.8%
202153.887480633 2
1.6%
202154.182669141 1
 
0.8%
202159.285360366 3
2.5%
202177.598001062 1
 
0.8%
202200.515176886 1
 
0.8%
202209.384958258 3
2.5%
ValueCountFrequency (%)
206405.429725609 1
 
0.8%
206349.223790774 1
 
0.8%
206112.089846358 1
 
0.8%
206066.811337152 1
 
0.8%
206060.692273636 1
 
0.8%
206024.581400212 1
 
0.8%
205981.745634734 3
2.5%
205947.164175927 1
 
0.8%
205903.666249362 1
 
0.8%
205884.380023124 1
 
0.8%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct90
Distinct (%)75.6%
Missing3
Missing (%)2.5%
Infinite0
Infinite (%)0.0%
Mean452742.83
Minimum451118.48
Maximum455613.36
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-05-11T06:31:10.563085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum451118.48
5-th percentile451168.96
Q1452234.92
median452625.54
Q3453384.63
95-th percentile454400.25
Maximum455613.36
Range4494.8818
Interquartile range (IQR)1149.707

Descriptive statistics

Standard deviation1000.625
Coefficient of variation (CV)0.0022101399
Kurtosis-0.14137465
Mean452742.83
Median Absolute Deviation (MAD)664.24209
Skewness0.34237767
Sum53876397
Variance1001250.4
MonotonicityNot monotonic
2024-05-11T06:31:11.058115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
451168.957999751 6
 
4.9%
452244.737465424 4
 
3.3%
451911.773990756 3
 
2.5%
452826.364506694 3
 
2.5%
451128.434521858 3
 
2.5%
452509.350892968 3
 
2.5%
453384.627459727 2
 
1.6%
452625.544546904 2
 
1.6%
452472.988294341 2
 
1.6%
452629.681527354 2
 
1.6%
Other values (80) 89
73.0%
(Missing) 3
 
2.5%
ValueCountFrequency (%)
451118.479199016 1
 
0.8%
451128.434521858 3
2.5%
451152.275276839 1
 
0.8%
451168.957999751 6
4.9%
451178.252649445 1
 
0.8%
451206.122161095 1
 
0.8%
451212.46358613 1
 
0.8%
451306.538397419 1
 
0.8%
451439.265863783 1
 
0.8%
451480.952328439 1
 
0.8%
ValueCountFrequency (%)
455613.361011445 1
0.8%
455131.683241064 1
0.8%
454846.056612821 1
0.8%
454833.337679973 1
0.8%
454703.595108819 1
0.8%
454419.468633096 1
0.8%
454398.116330131 1
0.8%
454379.131944059 1
0.8%
454284.299095022 1
0.8%
454269.587501201 1
0.8%

기공용레스수
Categorical

Distinct3
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
1
89 
<NA>
31 
2
 
2

Length

Max length4
Median length1
Mean length1.7622951
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 89
73.0%
<NA> 31
 
25.4%
2 2
 
1.6%

Length

2024-05-11T06:31:11.568842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:31:12.211182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 89
73.0%
na 31
 
25.4%
2 2
 
1.6%

원심주조기수
Categorical

Distinct4
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
1
85 
<NA>
31 
2
 
5
3
 
1

Length

Max length4
Median length1
Mean length1.7622951
Min length1

Unique

Unique1 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
1 85
69.7%
<NA> 31
 
25.4%
2 5
 
4.1%
3 1
 
0.8%

Length

2024-05-11T06:31:12.625951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:31:12.952736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 85
69.7%
na 31
 
25.4%
2 5
 
4.1%
3 1
 
0.8%

기공용모터수
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)8.8%
Missing31
Missing (%)25.4%
Infinite0
Infinite (%)0.0%
Mean3.3406593
Minimum2
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-05-11T06:31:13.285239image/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 deviation1.9219191
Coefficient of variation (CV)0.5753113
Kurtosis3.7140654
Mean3.3406593
Median Absolute Deviation (MAD)1
Skewness1.9678293
Sum304
Variance3.6937729
MonotonicityNot monotonic
2024-05-11T06:31:13.661690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
2 41
33.6%
3 24
19.7%
4 9
 
7.4%
5 7
 
5.7%
6 3
 
2.5%
8 3
 
2.5%
10 3
 
2.5%
7 1
 
0.8%
(Missing) 31
25.4%
ValueCountFrequency (%)
2 41
33.6%
3 24
19.7%
4 9
 
7.4%
5 7
 
5.7%
6 3
 
2.5%
7 1
 
0.8%
8 3
 
2.5%
10 3
 
2.5%
ValueCountFrequency (%)
10 3
 
2.5%
8 3
 
2.5%
7 1
 
0.8%
6 3
 
2.5%
5 7
 
5.7%
4 9
 
7.4%
3 24
19.7%
2 41
33.6%

아세틸렌수
Categorical

IMBALANCE 

Distinct4
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
1
88 
<NA>
31 
2
 
2
0
 
1

Length

Max length4
Median length1
Mean length1.7622951
Min length1

Unique

Unique1 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
1 88
72.1%
<NA> 31
 
25.4%
2 2
 
1.6%
0 1
 
0.8%

Length

2024-05-11T06:31:14.196327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:31:14.622453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 88
72.1%
na 31
 
25.4%
2 2
 
1.6%
0 1
 
0.8%

치과용프레스수
Categorical

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
1
91 
<NA>
31 

Length

Max length4
Median length1
Mean length1.7622951
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 91
74.6%
<NA> 31
 
25.4%

Length

2024-05-11T06:31:15.081920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:31:15.447020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 91
74.6%
na 31
 
25.4%

전기로수
Categorical

Distinct5
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
1
70 
<NA>
31 
2
14 
3
 
6
4
 
1

Length

Max length4
Median length1
Mean length1.7622951
Min length1

Unique

Unique1 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
1 70
57.4%
<NA> 31
25.4%
2 14
 
11.5%
3 6
 
4.9%
4 1
 
0.8%

Length

2024-05-11T06:31:15.768002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:31:16.094784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 70
57.4%
na 31
25.4%
2 14
 
11.5%
3 6
 
4.9%
4 1
 
0.8%

포셀린로수
Categorical

Distinct5
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
1
67 
<NA>
31 
2
13 
3
10 
6
 
1

Length

Max length4
Median length1
Mean length1.7622951
Min length1

Unique

Unique1 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
1 67
54.9%
<NA> 31
25.4%
2 13
 
10.7%
3 10
 
8.2%
6 1
 
0.8%

Length

2024-05-11T06:31:16.606500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:31:17.076254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 67
54.9%
na 31
25.4%
2 13
 
10.7%
3 10
 
8.2%
6 1
 
0.8%

초음파청소기수
Categorical

Distinct4
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
1
86 
<NA>
31 
2
 
4
3
 
1

Length

Max length4
Median length1
Mean length1.7622951
Min length1

Unique

Unique1 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
1 86
70.5%
<NA> 31
 
25.4%
2 4
 
3.3%
3 1
 
0.8%

Length

2024-05-11T06:31:17.829638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:31:18.308553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 86
70.5%
na 31
 
25.4%
2 4
 
3.3%
3 1
 
0.8%

서베이어수
Categorical

Distinct4
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
1
81 
<NA>
31 
2
9 
3
 
1

Length

Max length4
Median length1
Mean length1.7622951
Min length1

Unique

Unique1 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
1 81
66.4%
<NA> 31
 
25.4%
2 9
 
7.4%
3 1
 
0.8%

Length

2024-05-11T06:31:18.915604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:31:19.280804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 81
66.4%
na 31
 
25.4%
2 9
 
7.4%
3 1
 
0.8%

진동기수
Categorical

Distinct4
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
1
83 
<NA>
31 
2
 
6
3
 
2

Length

Max length4
Median length1
Mean length1.7622951
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 83
68.0%
<NA> 31
 
25.4%
2 6
 
4.9%
3 2
 
1.6%

Length

2024-05-11T06:31:19.668569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:31:20.066726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 83
68.0%
na 31
 
25.4%
2 6
 
4.9%
3 2
 
1.6%

트리머수
Categorical

Distinct3
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
1
86 
<NA>
31 
2
 
5

Length

Max length4
Median length1
Mean length1.7622951
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 86
70.5%
<NA> 31
 
25.4%
2 5
 
4.1%

Length

2024-05-11T06:31:20.466576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:31:20.815520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 86
70.5%
na 31
 
25.4%
2 5
 
4.1%

기공용컴프레서수
Categorical

Distinct3
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
1
70 
<NA>
44 
2
8 

Length

Max length4
Median length1
Mean length2.0819672
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 70
57.4%
<NA> 44
36.1%
2 8
 
6.6%

Length

2024-05-11T06:31:21.169776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:31:21.479471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 70
57.4%
na 44
36.1%
2 8
 
6.6%

샌드기수
Categorical

Distinct4
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
1
62 
<NA>
44 
2
13 
3
 
3

Length

Max length4
Median length1
Mean length2.0819672
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 62
50.8%
<NA> 44
36.1%
2 13
 
10.7%
3 3
 
2.5%

Length

2024-05-11T06:31:21.810043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:31:22.153814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 62
50.8%
na 44
36.1%
2 13
 
10.7%
3 3
 
2.5%

진공매몰기수
Categorical

Distinct3
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
1
75 
<NA>
44 
2
 
3

Length

Max length4
Median length1
Mean length2.0819672
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 75
61.5%
<NA> 44
36.1%
2 3
 
2.5%

Length

2024-05-11T06:31:22.544278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:31:22.888801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 75
61.5%
na 44
36.1%
2 3
 
2.5%

핀덱스수
Categorical

Distinct3
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
1
77 
<NA>
44 
0
 
1

Length

Max length4
Median length1
Mean length2.0819672
Min length1

Unique

Unique1 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
1 77
63.1%
<NA> 44
36.1%
0 1
 
0.8%

Length

2024-05-11T06:31:23.251252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:31:23.557123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 77
63.1%
na 44
36.1%
0 1
 
0.8%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)기공용레스수원심주조기수기공용모터수아세틸렌수치과용프레스수전기로수포셀린로수초음파청소기수서베이어수진동기수트리머수기공용컴프레서수샌드기수진공매몰기수핀덱스수
03050000PHMB31976305003406230000119761124<NA>3폐업3폐업20100708<NA><NA><NA>967-7398<NA>130862서울특별시 동대문구 제기동 483번지<NA><NA>조양치과기공소2011-04-11 10:54:56I2018-08-31 23:59:59.0<NA>203737.977444453289.78663811211111111<NA><NA><NA><NA>
13050000PHMB31981305003406230000119810530<NA>3폐업3폐업20010727<NA><NA><NA>9663918<NA>130010서울특별시 동대문구 청량리동 19번지 3호<NA><NA>태성치과기공소2009-01-06 16:14:09I2018-08-31 23:59:59.0<NA><NA><NA>11211111111<NA><NA><NA><NA>
23050000PHMB31985305003406230000119851113<NA>1영업/정상13영업중<NA><NA><NA><NA>926-6120<NA><NA>서울특별시 동대문구 용두동 112번지 5호서울특별시 동대문구 왕산로 74-1, 3층 (용두동)2584동산치과기공소2019-06-07 15:36:10U2019-06-09 02:40:00.0<NA>202723.037251452831.755108124112211111211
33050000PHMB31986305003406230000119860730<NA>3폐업3폐업20190828<NA><NA><NA>928-5205<NA>130823서울특별시 동대문구 용두동 231번지 6호 , 3층서울특별시 동대문구 한빛로 60, 3층 (용두동)2579명보치과기공소2019-09-03 10:53:11U2019-09-05 02:40:00.0<NA>202520.44737452931.553171112111111111111
43050000PHMB31986305003406230000219860730<NA>3폐업3폐업20191101<NA><NA><NA>965-7747<NA><NA>서울특별시 동대문구 신설동 23번지서울특별시 동대문구 한빛로 26, 4층 (신설동)2580시테크치과기공소2019-11-01 17:26:20U2019-11-03 02:40:00.0<NA>202209.384958452826.364507113111111111111
53050000PHMB31989305003406230000119891123<NA>1영업/정상13영업중<NA><NA><NA><NA>924-0852<NA><NA>서울특별시 동대문구 신설동 114-92서울특별시 동대문구 난계로26길 5-14, 3층 (신설동)2586현암치과기공소2022-06-10 12:35:43U2021-12-05 23:02:00.0<NA>202139.388925452192.075763<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
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개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)기공용레스수원심주조기수기공용모터수아세틸렌수치과용프레스수전기로수포셀린로수초음파청소기수서베이어수진동기수트리머수기공용컴프레서수샌드기수진공매몰기수핀덱스수
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