Overview

Dataset statistics

Number of variables40
Number of observations41
Missing cells305
Missing cells (%)18.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory14.1 KiB
Average record size in memory351.2 B

Variable types

Categorical21
Text6
DateTime2
Unsupported6
Numeric5

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),기공용레스수,원심주조기수,기공용모터수,아세틸렌수,치과용프레스수,전기로수,포셀린로수,초음파청소기수,서베이어수,진동기수,트리머수,기공용컴프레서수,샌드기수,진공매몰기수,핀덱스수
Author서대문구
URLhttps://data.seoul.go.kr/dataList/OA-16466/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has 41 (100.0%) missing valuesMissing
폐업일자 has 19 (46.3%) missing valuesMissing
휴업시작일자 has 41 (100.0%) missing valuesMissing
휴업종료일자 has 41 (100.0%) missing valuesMissing
재개업일자 has 41 (100.0%) missing valuesMissing
전화번호 has 3 (7.3%) missing valuesMissing
소재지면적 has 41 (100.0%) missing valuesMissing
소재지우편번호 has 13 (31.7%) missing valuesMissing
지번주소 has 2 (4.9%) missing valuesMissing
도로명주소 has 7 (17.1%) missing valuesMissing
도로명우편번호 has 7 (17.1%) missing valuesMissing
업태구분명 has 41 (100.0%) missing valuesMissing
기공용모터수 has 8 (19.5%) missing valuesMissing
관리번호 has unique valuesUnique
인허가일자 has unique valuesUnique
사업장명 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 07:54:12.885718
Analysis finished2024-05-11 07:54:14.185774
Duration1.3 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size460.0 B
3120000
41 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3120000
2nd row3120000
3rd row3120000
4th row3120000
5th row3120000

Common Values

ValueCountFrequency (%)
3120000 41
100.0%

Length

2024-05-11T07:54:14.422502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:54:14.765698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3120000 41
100.0%

관리번호
Text

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size460.0 B
2024-05-11T07:54:15.433230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters1025
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

Unique41 ?
Unique (%)100.0%

Sample

1st rowPHMB319813120033062300001
2nd rowPHMB319833120033062300001
3rd rowPHMB319843120033062300001
4th rowPHMB319893120033062300001
5th rowPHMB319933120033062300001
ValueCountFrequency (%)
phmb319813120033062300001 1
 
2.4%
phmb320073120033062300001 1
 
2.4%
phmb320103120033062300001 1
 
2.4%
phmb320103120033062300002 1
 
2.4%
phmb320103120033062300003 1
 
2.4%
phmb320103120033062300004 1
 
2.4%
phmb320103120033062300006 1
 
2.4%
phmb320113120033062300001 1
 
2.4%
phmb320113120033062300002 1
 
2.4%
phmb320143120033062300001 1
 
2.4%
Other values (31) 31
75.6%
2024-05-11T07:54:16.590482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 344
33.6%
3 214
20.9%
2 128
 
12.5%
1 91
 
8.9%
6 46
 
4.5%
P 41
 
4.0%
H 41
 
4.0%
M 41
 
4.0%
B 41
 
4.0%
9 13
 
1.3%
Other values (4) 25
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 861
84.0%
Uppercase Letter 164
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 344
40.0%
3 214
24.9%
2 128
 
14.9%
1 91
 
10.6%
6 46
 
5.3%
9 13
 
1.5%
4 9
 
1.0%
5 7
 
0.8%
8 5
 
0.6%
7 4
 
0.5%
Uppercase Letter
ValueCountFrequency (%)
P 41
25.0%
H 41
25.0%
M 41
25.0%
B 41
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 861
84.0%
Latin 164
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 344
40.0%
3 214
24.9%
2 128
 
14.9%
1 91
 
10.6%
6 46
 
5.3%
9 13
 
1.5%
4 9
 
1.0%
5 7
 
0.8%
8 5
 
0.6%
7 4
 
0.5%
Latin
ValueCountFrequency (%)
P 41
25.0%
H 41
25.0%
M 41
25.0%
B 41
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1025
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 344
33.6%
3 214
20.9%
2 128
 
12.5%
1 91
 
8.9%
6 46
 
4.5%
P 41
 
4.0%
H 41
 
4.0%
M 41
 
4.0%
B 41
 
4.0%
9 13
 
1.3%
Other values (4) 25
 
2.4%

인허가일자
Date

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size460.0 B
Minimum1981-04-09 00:00:00
Maximum2021-12-06 00:00:00
2024-05-11T07:54:17.166324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:54:17.708027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing41
Missing (%)100.0%
Memory size501.0 B

영업상태코드
Categorical

Distinct3
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Memory size460.0 B
3
22 
1
16 
5
3 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 22
53.7%
1 16
39.0%
5 3
 
7.3%

Length

2024-05-11T07:54:18.221983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:54:18.636545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 22
53.7%
1 16
39.0%
5 3
 
7.3%

영업상태명
Categorical

Distinct3
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Memory size460.0 B
폐업
22 
영업/정상
16 
제외/삭제/전출
3 

Length

Max length8
Median length2
Mean length3.6097561
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 22
53.7%
영업/정상 16
39.0%
제외/삭제/전출 3
 
7.3%

Length

2024-05-11T07:54:19.055172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:54:19.488742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 22
53.7%
영업/정상 16
39.0%
제외/삭제/전출 3
 
7.3%

상세영업상태코드
Categorical

Distinct3
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Memory size460.0 B
3
22 
13
16 
15
3 

Length

Max length2
Median length1
Mean length1.4634146
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 22
53.7%
13 16
39.0%
15 3
 
7.3%

Length

2024-05-11T07:54:20.008701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:54:20.718703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 22
53.7%
13 16
39.0%
15 3
 
7.3%

상세영업상태명
Categorical

Distinct3
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Memory size460.0 B
폐업
22 
영업중
16 
전출
3 

Length

Max length3
Median length2
Mean length2.3902439
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 22
53.7%
영업중 16
39.0%
전출 3
 
7.3%

Length

2024-05-11T07:54:21.198449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:54:21.517103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 22
53.7%
영업중 16
39.0%
전출 3
 
7.3%

폐업일자
Real number (ℝ)

MISSING 

Distinct22
Distinct (%)100.0%
Missing19
Missing (%)46.3%
Infinite0
Infinite (%)0.0%
Mean20153348
Minimum20100511
Maximum20220525
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2024-05-11T07:54:21.855364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20100511
5-th percentile20100544
Q120113059
median20150525
Q320190996
95-th percentile20210988
Maximum20220525
Range120014
Interquartile range (IQR)77936.25

Descriptive statistics

Standard deviation42929.828
Coefficient of variation (CV)0.0021301586
Kurtosis-1.5607276
Mean20153348
Median Absolute Deviation (MAD)40244
Skewness0.16264746
Sum4.4337365 × 108
Variance1.8429701 × 109
MonotonicityNot monotonic
2024-05-11T07:54:22.269474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
20140407 1
 
2.4%
20190916 1
 
2.4%
20200312 1
 
2.4%
20170721 1
 
2.4%
20170908 1
 
2.4%
20140828 1
 
2.4%
20191022 1
 
2.4%
20120228 1
 
2.4%
20120116 1
 
2.4%
20101229 1
 
2.4%
Other values (12) 12
29.3%
(Missing) 19
46.3%
ValueCountFrequency (%)
20100511 1
2.4%
20100524 1
2.4%
20100928 1
2.4%
20101229 1
2.4%
20110428 1
2.4%
20110707 1
2.4%
20120116 1
2.4%
20120228 1
2.4%
20120330 1
2.4%
20140407 1
2.4%
ValueCountFrequency (%)
20220525 1
2.4%
20211007 1
2.4%
20210622 1
2.4%
20210531 1
2.4%
20200312 1
2.4%
20191022 1
2.4%
20190916 1
2.4%
20170908 1
2.4%
20170721 1
2.4%
20170630 1
2.4%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing41
Missing (%)100.0%
Memory size501.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing41
Missing (%)100.0%
Memory size501.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing41
Missing (%)100.0%
Memory size501.0 B

전화번호
Text

MISSING 

Distinct37
Distinct (%)97.4%
Missing3
Missing (%)7.3%
Memory size460.0 B
2024-05-11T07:54:22.843905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length10.921053
Min length8

Characters and Unicode

Total characters415
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

Unique36 ?
Unique (%)94.7%

Sample

1st row02-392-8926
2nd row02-313-2828
3rd row02-737-8895
4th row02-323-2231
5th row02-362-4380
ValueCountFrequency (%)
02-313-2828 2
 
5.3%
02-730-6533 1
 
2.6%
02-597-1530 1
 
2.6%
02-364-3665 1
 
2.6%
395-2882 1
 
2.6%
02-395-4682 1
 
2.6%
02-305-1246 1
 
2.6%
720-2820 1
 
2.6%
379-2895 1
 
2.6%
02-431-2803 1
 
2.6%
Other values (27) 27
71.1%
2024-05-11T07:54:23.897519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 85
20.5%
- 72
17.3%
0 63
15.2%
3 49
11.8%
8 32
 
7.7%
6 24
 
5.8%
7 22
 
5.3%
1 21
 
5.1%
4 17
 
4.1%
5 17
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 343
82.7%
Dash Punctuation 72
 
17.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 85
24.8%
0 63
18.4%
3 49
14.3%
8 32
 
9.3%
6 24
 
7.0%
7 22
 
6.4%
1 21
 
6.1%
4 17
 
5.0%
5 17
 
5.0%
9 13
 
3.8%
Dash Punctuation
ValueCountFrequency (%)
- 72
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 415
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 85
20.5%
- 72
17.3%
0 63
15.2%
3 49
11.8%
8 32
 
7.7%
6 24
 
5.8%
7 22
 
5.3%
1 21
 
5.1%
4 17
 
4.1%
5 17
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 415
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 85
20.5%
- 72
17.3%
0 63
15.2%
3 49
11.8%
8 32
 
7.7%
6 24
 
5.8%
7 22
 
5.3%
1 21
 
5.1%
4 17
 
4.1%
5 17
 
4.1%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing41
Missing (%)100.0%
Memory size501.0 B

소재지우편번호
Text

MISSING 

Distinct21
Distinct (%)75.0%
Missing13
Missing (%)31.7%
Memory size460.0 B
2024-05-11T07:54:24.536962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0357143
Min length6

Characters and Unicode

Total characters169
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 (%)60.7%

Sample

1st row120040
2nd row120822
3rd row120854
4th row120180
5th row120060
ValueCountFrequency (%)
120090 4
 
14.3%
120854 3
 
10.7%
120857 2
 
7.1%
120816 2
 
7.1%
120819 1
 
3.6%
120822 1
 
3.6%
120102 1
 
3.6%
120093 1
 
3.6%
120101 1
 
3.6%
120070 1
 
3.6%
Other values (11) 11
39.3%
2024-05-11T07:54:25.562374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 54
32.0%
1 39
23.1%
2 32
18.9%
8 14
 
8.3%
9 8
 
4.7%
5 5
 
3.0%
4 5
 
3.0%
7 5
 
3.0%
6 3
 
1.8%
3 3
 
1.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 168
99.4%
Dash Punctuation 1
 
0.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 54
32.1%
1 39
23.2%
2 32
19.0%
8 14
 
8.3%
9 8
 
4.8%
5 5
 
3.0%
4 5
 
3.0%
7 5
 
3.0%
6 3
 
1.8%
3 3
 
1.8%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 169
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 54
32.0%
1 39
23.1%
2 32
18.9%
8 14
 
8.3%
9 8
 
4.7%
5 5
 
3.0%
4 5
 
3.0%
7 5
 
3.0%
6 3
 
1.8%
3 3
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 169
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 54
32.0%
1 39
23.1%
2 32
18.9%
8 14
 
8.3%
9 8
 
4.7%
5 5
 
3.0%
4 5
 
3.0%
7 5
 
3.0%
6 3
 
1.8%
3 3
 
1.8%

지번주소
Text

MISSING 

Distinct38
Distinct (%)97.4%
Missing2
Missing (%)4.9%
Memory size460.0 B
2024-05-11T07:54:26.205735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length29
Mean length25.384615
Min length18

Characters and Unicode

Total characters990
Distinct characters52
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique37 ?
Unique (%)94.9%

Sample

1st row서울특별시 서대문구 천연동 3번지
2nd row서울특별시 서대문구 북아현동 221번지 7호 백상빌딩 501호
3rd row서울특별시 서대문구 홍제2동 137번지 20호 2층
4th row서울특별시 서대문구 창천동 510번지 9호
5th row서울특별시 서대문구 옥천동 12번지 4층
ValueCountFrequency (%)
서울특별시 39
 
18.8%
서대문구 37
 
17.8%
2층 6
 
2.9%
3층 6
 
2.9%
북아현동 5
 
2.4%
홍제동 5
 
2.4%
홍제3동 3
 
1.4%
연희동 3
 
1.4%
137번지 3
 
1.4%
302호 3
 
1.4%
Other values (76) 98
47.1%
2024-05-11T07:54:27.768953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
169
 
17.1%
서 76
 
7.7%
특 39
 
3.9%
별 39
 
3.9%
시 39
 
3.9%
구 39
 
3.9%
동 39
 
3.9%
울 39
 
3.9%
2 38
 
3.8%
1 38
 
3.8%
Other values (42) 435
43.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 607
61.3%
Decimal Number 209
 
21.1%
Space Separator 169
 
17.1%
Dash Punctuation 5
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 76
12.5%
특 39
 
6.4%
별 39
 
6.4%
시 39
 
6.4%
구 39
 
6.4%
동 39
 
6.4%
울 39
 
6.4%
대 37
 
6.1%
문 37
 
6.1%
번 35
 
5.8%
Other values (30) 188
31.0%
Decimal Number
ValueCountFrequency (%)
2 38
18.2%
1 38
18.2%
3 36
17.2%
4 18
8.6%
0 16
7.7%
7 16
7.7%
5 14
 
6.7%
8 12
 
5.7%
6 11
 
5.3%
9 10
 
4.8%
Space Separator
ValueCountFrequency (%)
169
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 607
61.3%
Common 383
38.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 76
12.5%
특 39
 
6.4%
별 39
 
6.4%
시 39
 
6.4%
구 39
 
6.4%
동 39
 
6.4%
울 39
 
6.4%
대 37
 
6.1%
문 37
 
6.1%
번 35
 
5.8%
Other values (30) 188
31.0%
Common
ValueCountFrequency (%)
169
44.1%
2 38
 
9.9%
1 38
 
9.9%
3 36
 
9.4%
4 18
 
4.7%
0 16
 
4.2%
7 16
 
4.2%
5 14
 
3.7%
8 12
 
3.1%
6 11
 
2.9%
Other values (2) 15
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 607
61.3%
ASCII 383
38.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
169
44.1%
2 38
 
9.9%
1 38
 
9.9%
3 36
 
9.4%
4 18
 
4.7%
0 16
 
4.2%
7 16
 
4.2%
5 14
 
3.7%
8 12
 
3.1%
6 11
 
2.9%
Other values (2) 15
 
3.9%
Hangul
ValueCountFrequency (%)
서 76
12.5%
특 39
 
6.4%
별 39
 
6.4%
시 39
 
6.4%
구 39
 
6.4%
동 39
 
6.4%
울 39
 
6.4%
대 37
 
6.1%
문 37
 
6.1%
번 35
 
5.8%
Other values (30) 188
31.0%

도로명주소
Text

MISSING 

Distinct33
Distinct (%)97.1%
Missing7
Missing (%)17.1%
Memory size460.0 B
2024-05-11T07:54:28.405290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length34
Mean length29.235294
Min length23

Characters and Unicode

Total characters994
Distinct characters80
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

Unique32 ?
Unique (%)94.1%

Sample

1st row서울특별시 서대문구 응암로 11, 203호 (북가좌동)
2nd row서울특별시 서대문구 통일로11길 3 (천연동)
3rd row서울특별시 서대문구 신촌로 231 (북아현동, 백상빌딩 501호)
4th row서울특별시 서대문구 홍제원길 7, 2층 (홍제동)
5th row서울특별시 서대문구 신촌로1길 3 (창천동)
ValueCountFrequency (%)
서울특별시 34
 
16.7%
서대문구 32
 
15.7%
3층 8
 
3.9%
홍제동 8
 
3.9%
2층 7
 
3.4%
통일로 7
 
3.4%
북가좌동 5
 
2.5%
4층 4
 
2.0%
302호 4
 
2.0%
북아현동 4
 
2.0%
Other values (65) 91
44.6%
2024-05-11T07:54:29.574860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
170
 
17.1%
서 68
 
6.8%
시 36
 
3.6%
울 35
 
3.5%
동 35
 
3.5%
별 34
 
3.4%
( 34
 
3.4%
특 34
 
3.4%
) 34
 
3.4%
구 34
 
3.4%
Other values (70) 480
48.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 582
58.6%
Space Separator 170
 
17.1%
Decimal Number 144
 
14.5%
Open Punctuation 34
 
3.4%
Close Punctuation 34
 
3.4%
Other Punctuation 27
 
2.7%
Dash Punctuation 2
 
0.2%
Lowercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 68
 
11.7%
시 36
 
6.2%
울 35
 
6.0%
동 35
 
6.0%
별 34
 
5.8%
특 34
 
5.8%
구 34
 
5.8%
대 33
 
5.7%
문 32
 
5.5%
로 29
 
5.0%
Other values (54) 212
36.4%
Decimal Number
ValueCountFrequency (%)
1 31
21.5%
3 28
19.4%
2 24
16.7%
0 18
12.5%
4 11
 
7.6%
7 11
 
7.6%
6 7
 
4.9%
9 6
 
4.2%
5 5
 
3.5%
8 3
 
2.1%
Space Separator
ValueCountFrequency (%)
170
100.0%
Open Punctuation
ValueCountFrequency (%)
( 34
100.0%
Close Punctuation
ValueCountFrequency (%)
) 34
100.0%
Other Punctuation
ValueCountFrequency (%)
, 27
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Lowercase Letter
ValueCountFrequency (%)
b 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 582
58.6%
Common 411
41.3%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 68
 
11.7%
시 36
 
6.2%
울 35
 
6.0%
동 35
 
6.0%
별 34
 
5.8%
특 34
 
5.8%
구 34
 
5.8%
대 33
 
5.7%
문 32
 
5.5%
로 29
 
5.0%
Other values (54) 212
36.4%
Common
ValueCountFrequency (%)
170
41.4%
( 34
 
8.3%
) 34
 
8.3%
1 31
 
7.5%
3 28
 
6.8%
, 27
 
6.6%
2 24
 
5.8%
0 18
 
4.4%
4 11
 
2.7%
7 11
 
2.7%
Other values (5) 23
 
5.6%
Latin
ValueCountFrequency (%)
b 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 582
58.6%
ASCII 412
41.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
170
41.3%
( 34
 
8.3%
) 34
 
8.3%
1 31
 
7.5%
3 28
 
6.8%
, 27
 
6.6%
2 24
 
5.8%
0 18
 
4.4%
4 11
 
2.7%
7 11
 
2.7%
Other values (6) 24
 
5.8%
Hangul
ValueCountFrequency (%)
서 68
 
11.7%
시 36
 
6.2%
울 35
 
6.0%
동 35
 
6.0%
별 34
 
5.8%
특 34
 
5.8%
구 34
 
5.8%
대 33
 
5.7%
문 32
 
5.5%
로 29
 
5.0%
Other values (54) 212
36.4%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct25
Distinct (%)73.5%
Missing7
Missing (%)17.1%
Infinite0
Infinite (%)0.0%
Mean17487.294
Minimum3375
Maximum120854
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2024-05-11T07:54:30.148099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3375
5-th percentile3617.95
Q13639.25
median3714
Q33774
95-th percentile120828.45
Maximum120854
Range117479
Interquartile range (IQR)134.75

Descriptive statistics

Standard deviation38236.156
Coefficient of variation (CV)2.1865107
Kurtosis4.4296607
Mean17487.294
Median Absolute Deviation (MAD)63.5
Skewness2.4842831
Sum594568
Variance1.4620036 × 109
MonotonicityNot monotonic
2024-05-11T07:54:30.745478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
3734 4
 
9.8%
3630 3
 
7.3%
3714 3
 
7.3%
3785 2
 
4.9%
3774 2
 
4.9%
120854 1
 
2.4%
3675 1
 
2.4%
3708 1
 
2.4%
3670 1
 
2.4%
3767 1
 
2.4%
Other values (15) 15
36.6%
(Missing) 7
17.1%
ValueCountFrequency (%)
3375 1
 
2.4%
3616 1
 
2.4%
3619 1
 
2.4%
3624 1
 
2.4%
3627 1
 
2.4%
3628 1
 
2.4%
3630 3
7.3%
3667 1
 
2.4%
3670 1
 
2.4%
3675 1
 
2.4%
ValueCountFrequency (%)
120854 1
 
2.4%
120846 1
 
2.4%
120819 1
 
2.4%
120070 1
 
2.4%
5073 1
 
2.4%
3785 2
4.9%
3781 1
 
2.4%
3774 2
4.9%
3767 1
 
2.4%
3734 4
9.8%

사업장명
Text

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size460.0 B
2024-05-11T07:54:31.449940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length15
Mean length8.5609756
Min length5

Characters and Unicode

Total characters351
Distinct characters106
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

Unique41 ?
Unique (%)100.0%

Sample

1st row남우치과기공소
2nd row신세계치과기공소
3rd row정도세라믹치과기공소
4th row삼광치과기공소
5th row성우치과기공소
ValueCountFrequency (%)
치과기공소 4
 
8.5%
남우치과기공소 1
 
2.1%
3do 1
 
2.1%
영문치과기공소 1
 
2.1%
광성치과기공소 1
 
2.1%
new명지치과기공소 1
 
2.1%
피델리티(fidelity)치과기공소 1
 
2.1%
베텔치과기공소 1
 
2.1%
폴라리스치과기공소 1
 
2.1%
국민치과기공소 1
 
2.1%
Other values (34) 34
72.3%
2024-05-11T07:54:32.592021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
기 39
 
11.1%
공 39
 
11.1%
소 39
 
11.1%
치 38
 
10.8%
과 38
 
10.8%
6
 
1.7%
우 5
 
1.4%
지 4
 
1.1%
성 3
 
0.9%
3 3
 
0.9%
Other values (96) 137
39.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 304
86.6%
Lowercase Letter 15
 
4.3%
Uppercase Letter 13
 
3.7%
Decimal Number 7
 
2.0%
Space Separator 6
 
1.7%
Other Punctuation 2
 
0.6%
Open Punctuation 2
 
0.6%
Close Punctuation 2
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 39
12.8%
공 39
12.8%
소 39
12.8%
치 38
12.5%
과 38
12.5%
우 5
 
1.6%
지 4
 
1.3%
성 3
 
1.0%
전 3
 
1.0%
비 3
 
1.0%
Other values (69) 93
30.6%
Uppercase Letter
ValueCountFrequency (%)
D 2
15.4%
E 2
15.4%
O 1
7.7%
M 1
7.7%
L 1
7.7%
F 1
7.7%
G 1
7.7%
S 1
7.7%
N 1
7.7%
W 1
7.7%
Lowercase Letter
ValueCountFrequency (%)
l 3
20.0%
e 2
13.3%
t 2
13.3%
i 2
13.3%
a 2
13.3%
y 1
 
6.7%
n 1
 
6.7%
b 1
 
6.7%
d 1
 
6.7%
Decimal Number
ValueCountFrequency (%)
3 3
42.9%
5 2
28.6%
1 2
28.6%
Space Separator
ValueCountFrequency (%)
6
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 304
86.6%
Latin 28
 
8.0%
Common 19
 
5.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 39
12.8%
공 39
12.8%
소 39
12.8%
치 38
12.5%
과 38
12.5%
우 5
 
1.6%
지 4
 
1.3%
성 3
 
1.0%
전 3
 
1.0%
비 3
 
1.0%
Other values (69) 93
30.6%
Latin
ValueCountFrequency (%)
l 3
 
10.7%
D 2
 
7.1%
E 2
 
7.1%
e 2
 
7.1%
t 2
 
7.1%
i 2
 
7.1%
a 2
 
7.1%
y 1
 
3.6%
O 1
 
3.6%
n 1
 
3.6%
Other values (10) 10
35.7%
Common
ValueCountFrequency (%)
6
31.6%
3 3
15.8%
5 2
 
10.5%
1 2
 
10.5%
. 2
 
10.5%
( 2
 
10.5%
) 2
 
10.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 304
86.6%
ASCII 47
 
13.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
기 39
12.8%
공 39
12.8%
소 39
12.8%
치 38
12.5%
과 38
12.5%
우 5
 
1.6%
지 4
 
1.3%
성 3
 
1.0%
전 3
 
1.0%
비 3
 
1.0%
Other values (69) 93
30.6%
ASCII
ValueCountFrequency (%)
6
 
12.8%
3 3
 
6.4%
l 3
 
6.4%
5 2
 
4.3%
1 2
 
4.3%
. 2
 
4.3%
D 2
 
4.3%
E 2
 
4.3%
e 2
 
4.3%
t 2
 
4.3%
Other values (17) 21
44.7%

최종수정일자
Date

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size460.0 B
Minimum2010-05-11 13:46:57
Maximum2024-01-11 16:22:55
2024-05-11T07:54:33.128728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:54:33.538281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)

데이터갱신구분
Categorical

Distinct2
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size460.0 B
I
24 
U
17 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 24
58.5%
U 17
41.5%

Length

2024-05-11T07:54:33.956336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:54:34.343346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 24
58.5%
u 17
41.5%

데이터갱신일자
Categorical

Distinct20
Distinct (%)48.8%
Missing0
Missing (%)0.0%
Memory size460.0 B
2018-08-31 23:59:59.0
22 
2022-10-31 23:00:00.0
 
1
2021-10-09 02:40:00.0
 
1
2021-06-24 02:40:00.0
 
1
2021-12-04 22:08:00.0
 
1
Other values (15)
15 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique19 ?
Unique (%)46.3%

Sample

1st row2022-10-31 23:00:00.0
2nd row2018-08-31 23:59:59.0
3rd row2021-10-09 02:40:00.0
4th row2018-08-31 23:59:59.0
5th row2021-06-24 02:40:00.0

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 22
53.7%
2022-10-31 23:00:00.0 1
 
2.4%
2021-10-09 02:40:00.0 1
 
2.4%
2021-06-24 02:40:00.0 1
 
2.4%
2021-12-04 22:08:00.0 1
 
2.4%
2022-12-06 00:09:00.0 1
 
2.4%
2022-12-04 22:07:00.0 1
 
2.4%
2019-11-23 02:40:00.0 1
 
2.4%
2021-06-02 02:40:00.0 1
 
2.4%
2022-12-02 21:00:00.0 1
 
2.4%
Other values (10) 10
24.4%

Length

2024-05-11T07:54:34.848674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2018-08-31 22
26.8%
23:59:59.0 22
26.8%
02:40:00.0 9
11.0%
2022-12-04 2
 
2.4%
2023-11-30 1
 
1.2%
2020-03-05 1
 
1.2%
2022-12-07 1
 
1.2%
23:09:00.0 1
 
1.2%
2020-01-22 1
 
1.2%
23:03:00.0 1
 
1.2%
Other values (21) 21
25.6%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing41
Missing (%)100.0%
Memory size501.0 B

좌표정보(X)
Real number (ℝ)

Distinct35
Distinct (%)85.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean194762.37
Minimum191615.04
Maximum205886.29
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2024-05-11T07:54:35.355723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum191615.04
5-th percentile191705.25
Q1193524.84
median194927.1
Q3195564.87
95-th percentile196646.31
Maximum205886.29
Range14271.252
Interquartile range (IQR)2040.0302

Descriptive statistics

Standard deviation2307.7247
Coefficient of variation (CV)0.011848925
Kurtosis12.928947
Mean194762.37
Median Absolute Deviation (MAD)1174.8004
Skewness2.6914891
Sum7985257.3
Variance5325593.3
MonotonicityNot monotonic
2024-05-11T07:54:36.057455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
191705.251436204 2
 
4.9%
195643.865636259 2
 
4.9%
193563.925467048 2
 
4.9%
195228.632683282 2
 
4.9%
195200.669769887 2
 
4.9%
195388.797709985 2
 
4.9%
195229.654799166 1
 
2.4%
196535.46716974 1
 
2.4%
194703.80321395 1
 
2.4%
192456.366937727 1
 
2.4%
Other values (25) 25
61.0%
ValueCountFrequency (%)
191615.037104598 1
2.4%
191705.251436204 2
4.9%
192198.4143719 1
2.4%
192456.366937727 1
2.4%
192536.305258225 1
2.4%
192922.795142276 1
2.4%
193087.291307944 1
2.4%
193183.65173692 1
2.4%
193229.389465927 1
2.4%
193524.840100995 1
2.4%
ValueCountFrequency (%)
205886.288968009 1
2.4%
196646.316262816 1
2.4%
196646.314631232 1
2.4%
196626.819791217 1
2.4%
196535.46716974 1
2.4%
196472.739619678 1
2.4%
196101.903849066 1
2.4%
195956.564574517 1
2.4%
195643.865636259 2
4.9%
195564.870306771 1
2.4%

좌표정보(Y)
Real number (ℝ)

Distinct35
Distinct (%)85.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean452601.88
Minimum448517.34
Maximum456133.69
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2024-05-11T07:54:36.624065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum448517.34
5-th percentile450576.39
Q1451122.68
median452577.65
Q3453871.75
95-th percentile454914.53
Maximum456133.69
Range7616.3533
Interquartile range (IQR)2749.0695

Descriptive statistics

Standard deviation1636.8539
Coefficient of variation (CV)0.0036165424
Kurtosis-0.43756155
Mean452601.88
Median Absolute Deviation (MAD)1454.9652
Skewness-0.15751409
Sum18556677
Variance2679290.6
MonotonicityNot monotonic
2024-05-11T07:54:37.290560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
452577.650186442 2
 
4.9%
450576.385496383 2
 
4.9%
450714.865864685 2
 
4.9%
454293.861168274 2
 
4.9%
453871.754518013 2
 
4.9%
454914.533298438 2
 
4.9%
454337.55566177 1
 
2.4%
452035.199242605 1
 
2.4%
454366.728718152 1
 
2.4%
453652.460124417 1
 
2.4%
Other values (25) 25
61.0%
ValueCountFrequency (%)
448517.338628068 1
2.4%
450576.385496383 2
4.9%
450583.545582303 1
2.4%
450587.039696595 1
2.4%
450625.222275039 1
2.4%
450714.865864685 2
4.9%
450727.635046295 1
2.4%
451063.572722905 1
2.4%
451122.684993594 1
2.4%
451616.296787062 1
2.4%
ValueCountFrequency (%)
456133.6919489 1
2.4%
454914.533298438 2
4.9%
454437.096839971 1
2.4%
454366.728718152 1
2.4%
454337.55566177 1
2.4%
454293.861168274 2
4.9%
454241.939896723 1
2.4%
454078.028449131 1
2.4%
453871.754518013 2
4.9%
453827.690078848 1
2.4%

기공용레스수
Categorical

Distinct2
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size460.0 B
1
33 
<NA>
8 

Length

Max length4
Median length1
Mean length1.5853659
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 33
80.5%
<NA> 8
 
19.5%

Length

2024-05-11T07:54:37.838567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:54:38.498777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 33
80.5%
na 8
 
19.5%

원심주조기수
Categorical

Distinct2
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size460.0 B
1
33 
<NA>
8 

Length

Max length4
Median length1
Mean length1.5853659
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 33
80.5%
<NA> 8
 
19.5%

Length

2024-05-11T07:54:39.067759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:54:39.606892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 33
80.5%
na 8
 
19.5%

기공용모터수
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)18.2%
Missing8
Missing (%)19.5%
Infinite0
Infinite (%)0.0%
Mean2.5757576
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2024-05-11T07:54:40.128487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median2
Q33
95-th percentile4.8
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.3469944
Coefficient of variation (CV)0.52295077
Kurtosis8.4278206
Mean2.5757576
Median Absolute Deviation (MAD)0
Skewness2.7279427
Sum85
Variance1.8143939
MonotonicityNot monotonic
2024-05-11T07:54:40.630810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 23
56.1%
3 4
 
9.8%
4 3
 
7.3%
6 1
 
2.4%
1 1
 
2.4%
8 1
 
2.4%
(Missing) 8
 
19.5%
ValueCountFrequency (%)
1 1
 
2.4%
2 23
56.1%
3 4
 
9.8%
4 3
 
7.3%
6 1
 
2.4%
8 1
 
2.4%
ValueCountFrequency (%)
8 1
 
2.4%
6 1
 
2.4%
4 3
 
7.3%
3 4
 
9.8%
2 23
56.1%
1 1
 
2.4%

아세틸렌수
Categorical

Distinct3
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Memory size460.0 B
1
32 
<NA>
8 
0
 
1

Length

Max length4
Median length1
Mean length1.5853659
Min length1

Unique

Unique1 ?
Unique (%)2.4%

Sample

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

Common Values

ValueCountFrequency (%)
1 32
78.0%
<NA> 8
 
19.5%
0 1
 
2.4%

Length

2024-05-11T07:54:41.149639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:54:41.526480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 32
78.0%
na 8
 
19.5%
0 1
 
2.4%

치과용프레스수
Categorical

Distinct3
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Memory size460.0 B
1
32 
<NA>
8 
2
 
1

Length

Max length4
Median length1
Mean length1.5853659
Min length1

Unique

Unique1 ?
Unique (%)2.4%

Sample

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

Common Values

ValueCountFrequency (%)
1 32
78.0%
<NA> 8
 
19.5%
2 1
 
2.4%

Length

2024-05-11T07:54:41.933003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:54:42.300263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 32
78.0%
na 8
 
19.5%
2 1
 
2.4%

전기로수
Categorical

Distinct4
Distinct (%)9.8%
Missing0
Missing (%)0.0%
Memory size460.0 B
1
30 
<NA>
8 
2
 
2
3
 
1

Length

Max length4
Median length1
Mean length1.5853659
Min length1

Unique

Unique1 ?
Unique (%)2.4%

Sample

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

Common Values

ValueCountFrequency (%)
1 30
73.2%
<NA> 8
 
19.5%
2 2
 
4.9%
3 1
 
2.4%

Length

2024-05-11T07:54:42.665267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:54:42.917786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 30
73.2%
na 8
 
19.5%
2 2
 
4.9%
3 1
 
2.4%

포셀린로수
Categorical

Distinct4
Distinct (%)9.8%
Missing0
Missing (%)0.0%
Memory size460.0 B
1
27 
<NA>
8 
2
4 
3
 
2

Length

Max length4
Median length1
Mean length1.5853659
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 27
65.9%
<NA> 8
 
19.5%
2 4
 
9.8%
3 2
 
4.9%

Length

2024-05-11T07:54:43.196747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:54:43.534224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 27
65.9%
na 8
 
19.5%
2 4
 
9.8%
3 2
 
4.9%

초음파청소기수
Categorical

Distinct3
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Memory size460.0 B
1
32 
<NA>
8 
3
 
1

Length

Max length4
Median length1
Mean length1.5853659
Min length1

Unique

Unique1 ?
Unique (%)2.4%

Sample

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

Common Values

ValueCountFrequency (%)
1 32
78.0%
<NA> 8
 
19.5%
3 1
 
2.4%

Length

2024-05-11T07:54:43.998421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:54:44.361971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 32
78.0%
na 8
 
19.5%
3 1
 
2.4%

서베이어수
Categorical

Distinct3
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Memory size460.0 B
1
30 
<NA>
8 
2
 
3

Length

Max length4
Median length1
Mean length1.5853659
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 30
73.2%
<NA> 8
 
19.5%
2 3
 
7.3%

Length

2024-05-11T07:54:44.918098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:54:45.315043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 30
73.2%
na 8
 
19.5%
2 3
 
7.3%

진동기수
Categorical

Distinct2
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size460.0 B
1
33 
<NA>
8 

Length

Max length4
Median length1
Mean length1.5853659
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 33
80.5%
<NA> 8
 
19.5%

Length

2024-05-11T07:54:45.946069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:54:46.344394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 33
80.5%
na 8
 
19.5%

트리머수
Categorical

Distinct2
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size460.0 B
1
33 
<NA>
8 

Length

Max length4
Median length1
Mean length1.5853659
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 33
80.5%
<NA> 8
 
19.5%

Length

2024-05-11T07:54:46.825202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:54:47.222839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 33
80.5%
na 8
 
19.5%

기공용컴프레서수
Categorical

Distinct3
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Memory size460.0 B
1
26 
<NA>
14 
2
 
1

Length

Max length4
Median length1
Mean length2.0243902
Min length1

Unique

Unique1 ?
Unique (%)2.4%

Sample

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

Common Values

ValueCountFrequency (%)
1 26
63.4%
<NA> 14
34.1%
2 1
 
2.4%

Length

2024-05-11T07:54:47.722100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:54:48.042683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 26
63.4%
na 14
34.1%
2 1
 
2.4%

샌드기수
Categorical

Distinct3
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Memory size460.0 B
1
26 
<NA>
14 
2
 
1

Length

Max length4
Median length1
Mean length2.0243902
Min length1

Unique

Unique1 ?
Unique (%)2.4%

Sample

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

Common Values

ValueCountFrequency (%)
1 26
63.4%
<NA> 14
34.1%
2 1
 
2.4%

Length

2024-05-11T07:54:48.498220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:54:49.091241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 26
63.4%
na 14
34.1%
2 1
 
2.4%

진공매몰기수
Categorical

Distinct2
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size460.0 B
1
27 
<NA>
14 

Length

Max length4
Median length1
Mean length2.0243902
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 27
65.9%
<NA> 14
34.1%

Length

2024-05-11T07:54:49.464768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:54:49.812748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 27
65.9%
na 14
34.1%

핀덱스수
Categorical

Distinct3
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Memory size460.0 B
1
24 
<NA>
14 
0
3 

Length

Max length4
Median length1
Mean length2.0243902
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 24
58.5%
<NA> 14
34.1%
0 3
 
7.3%

Length

2024-05-11T07:54:50.197868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:54:50.609845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 24
58.5%
na 14
34.1%
0 3
 
7.3%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)기공용레스수원심주조기수기공용모터수아세틸렌수치과용프레스수전기로수포셀린로수초음파청소기수서베이어수진동기수트리머수기공용컴프레서수샌드기수진공매몰기수핀덱스수
03120000PHMB3198131200330623000011981-04-09<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 서대문구 응암로 11, 203호 (북가좌동)3714남우치과기공소2023-11-08 18:00:27U2022-10-31 23:00:00.0<NA>191705.251436452577.650186<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13120000PHMB31983312003306230000119830615<NA>3폐업3폐업20160222<NA><NA><NA>02-392-8926<NA>120040서울특별시 서대문구 천연동 3번지서울특별시 서대문구 통일로11길 3 (천연동)3734신세계치과기공소2016-02-23 17:47:27I2018-08-31 23:59:59.0<NA>196646.314631451892.11938112111111111111
23120000PHMB31984312003306230000119840724<NA>3폐업3폐업20211007<NA><NA><NA>02-313-2828<NA>120822서울특별시 서대문구 북아현동 221번지 7호 백상빌딩 501호서울특별시 서대문구 신촌로 231 (북아현동, 백상빌딩 501호)3774정도세라믹치과기공소2021-10-07 17:36:35U2021-10-09 02:40:00.0<NA>195643.865636450576.385496112111111111111
33120000PHMB31989312003306230000119891218<NA>1영업/정상13영업중<NA><NA><NA><NA>02-737-8895<NA>120854서울특별시 서대문구 홍제2동 137번지 20호 2층서울특별시 서대문구 홍제원길 7, 2층 (홍제동)3630삼광치과기공소2011-12-05 15:01:25I2018-08-31 23:59:59.0<NA>195265.86986453827.690079112111111111111
43120000PHMB31993312003306230000119930217<NA>3폐업3폐업20210622<NA><NA><NA>02-323-2231<NA>120180서울특별시 서대문구 창천동 510번지 9호서울특별시 서대문구 신촌로1길 3 (창천동)3785성우치과기공소2021-06-22 10:41:11U2021-06-24 02:40:00.0<NA>193563.925467450714.865865112111111111111
53120000PHMB31994312003306230000119941209<NA>1영업/정상13영업중<NA><NA><NA><NA>02-362-4380<NA>120060서울특별시 서대문구 옥천동 12번지 4층서울특별시 서대문구 영천시장길 70, 4층 (옥천동)3734이앤프라임덴탈랩 치과기공소2018-06-18 16:25:14I2018-08-31 23:59:59.0<NA>196626.819791451916.377247112111111111111
63120000PHMB31997312003306230000119970616<NA>3폐업3폐업20220525<NA><NA><NA>02-3216-8760<NA>120857서울특별시 서대문구 홍제3동 299번지 49호 204호서울특별시 서대문구 인왕시장길 18 (홍제동)3628효성치과기공소2022-05-26 09:12:14U2021-12-04 22:08:00.0<NA>194927.103464454241.939897<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73120000PHMB3200031200330623000012000-03-22<NA>5제외/삭제/전출15전출<NA><NA><NA><NA>02-392-5672<NA>120-070서울특별시 서대문구 영천동 278번지 4층서울특별시 서대문구 통일로 203-1, 4층 (영천동)3734썬아트치과기공소2023-06-07 10:55:50U2022-12-06 00:09:00.0<NA>196472.73962452113.046977<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83120000PHMB32003312003306230000120030520<NA>1영업/정상13영업중<NA><NA><NA><NA>02-732-7712<NA>120854서울특별시 서대문구 홍제2동 137번지 15호 3층서울특별시 서대문구 통일로 422, 3층 (홍제동)3630새그린치과기공소2018-07-24 11:11:01I2018-08-31 23:59:59.0<NA>195200.66977453871.754518113111111111111
93120000PHMB3200331200330623000022003-03-31<NA>5제외/삭제/전출15전출<NA><NA><NA><NA>02-3216-2804<NA><NA>서울특별시 광진구 자양동 6-20서울특별시 광진구 아차산로30길 39, 302호 (자양동)5073장치과기공소2023-05-25 17:29:04U2022-12-04 22:07:00.0<NA>205886.288968448517.338628<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)기공용레스수원심주조기수기공용모터수아세틸렌수치과용프레스수전기로수포셀린로수초음파청소기수서베이어수진동기수트리머수기공용컴프레서수샌드기수진공매몰기수핀덱스수
313120000PHMB32015312003306230000120150715<NA>3폐업3폐업20170721<NA><NA><NA>02-2268-2809<NA>120830서울특별시 서대문구 연희동 353번지 94호 2층서울특별시 서대문구 연희로 36 (연희동)3781늘푸른치과기공소2017-07-24 09:45:45I2018-08-31 23:59:59.0<NA>193524.840101451063.572723113111232111111
323120000PHMB32015312003306230000220151126<NA>3폐업3폐업20200312<NA><NA><NA>02-365-7528<NA><NA>서울특별시 서대문구 옥천동 1번지서울특별시 서대문구 통일로 177, 4층 (옥천동)37343DO 치과기공소2020-06-22 13:04:02U2020-06-24 02:40:00.0<NA>196646.316263451906.882016112111111111111
333120000PHMB32017312003306230000120170717<NA>1영업/정상13영업중<NA><NA><NA><NA>02-334-8627<NA><NA>서울특별시 서대문구 창천동 510번지 9호서울특별시 서대문구 신촌로1길 3, 2층 (창천동)3785태우치과기공소2020-03-03 16:13:45U2020-03-05 02:40:00.0<NA>193563.925467450714.865865112111111111111
343120000PHMB3201731200330623000022017-08-02<NA>1영업/정상13영업중<NA><NA><NA><NA>02-304-4111<NA><NA>서울특별시 서대문구 남가좌동 331번지 36호서울특별시 서대문구 모래내로 227, 4층 (남가좌동)3693메탈프린팅전문기공소2023-08-17 11:17:04U2022-12-07 23:09:00.0<NA>193229.389466452473.571707<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
353120000PHMB32018312003306230000120180905<NA>3폐업3폐업20190916<NA><NA><NA><NA><NA><NA>서울특별시 서대문구 북아현동 238번지 1호서울특별시 서대문구 신촌로27길 11, 8호 (북아현동)3767비전1532020-01-20 11:43:48U2020-01-22 02:40:00.0<NA>195564.870307450583.545582112111111111111
363120000PHMB3201931200330623000012019-05-31<NA>1영업/정상13영업중<NA><NA><NA><NA>02-303-2228<NA><NA><NA>서울특별시 서대문구 증가로 150, 100동 b101호 (남가좌동)3670윤디지털랩치과기공소2024-01-11 16:22:55U2023-11-30 23:03:00.0<NA>192922.795142452984.652488<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
373120000PHMB32020312003306230000120200512<NA>1영업/정상13영업중<NA><NA><NA><NA>070-5150-2800<NA><NA>서울특별시 서대문구 연희동 188번지 2호 신라빌딩서울특별시 서대문구 연희로 97, 신라빌딩 3층 (연희동)3708투명한 치과기공소2022-02-22 14:27:48U2022-02-24 02:40:00.0<NA>193795.62138451616.296787111011111111110
383120000PHMB32021312003306230000120211008<NA>1영업/정상13영업중<NA><NA><NA><NA>02-313-2828<NA><NA>서울특별시 서대문구 북아현동 221-7 백상빌딩 501호서울특별시 서대문구 신촌로 231, 백상빌딩 501호 (북아현동)3774정도치과기공소2021-10-14 09:28:54I2021-10-16 00:22:46.0<NA>195643.865636450576.385496118111311112210
393120000PHMB32021312003306230000220211206<NA>1영업/정상13영업중<NA><NA><NA><NA>02-382-2804<NA><NA>서울특별시 서대문구 홍은동 346-1 302호서울특별시 서대문구 가좌로 141, 3층 302호 (홍은동)3675감동 Dental lab2021-12-06 17:19:18I2021-12-08 00:22:43.0<NA>193183.651737453583.312173112111211111110
403120000PHMB3202331200330623000012009-12-11<NA>1영업/정상13영업중<NA><NA><NA><NA>3143-2804<NA><NA>서울특별시 서대문구 북가좌동 385-8서울특별시 서대문구 응암로 11, 302호 (북가좌동)3714엠엘비(M.L.B)치과기공소2023-03-30 09:42:13U2022-12-04 00:01:00.0<NA>191705.251436452577.650186<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>