Overview

Dataset statistics

Number of variables35
Number of observations86
Missing cells738
Missing cells (%)24.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory25.5 KiB
Average record size in memory303.5 B

Variable types

Categorical16
Text6
DateTime3
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),시력표수,표본렌즈수,측정의자수,동공거리측정기수,정점굴절계기수,조제용연마기수,렌즈절단기수,가열기수,안경세척기수,총면적
Author성동구
URLhttps://data.seoul.go.kr/dataList/OA-16385/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has 86 (100.0%) missing valuesMissing
폐업일자 has 59 (68.6%) missing valuesMissing
휴업시작일자 has 86 (100.0%) missing valuesMissing
휴업종료일자 has 86 (100.0%) missing valuesMissing
재개업일자 has 86 (100.0%) missing valuesMissing
전화번호 has 10 (11.6%) missing valuesMissing
소재지면적 has 86 (100.0%) missing valuesMissing
소재지우편번호 has 70 (81.4%) missing valuesMissing
지번주소 has 1 (1.2%) missing valuesMissing
도로명주소 has 4 (4.7%) missing valuesMissing
도로명우편번호 has 4 (4.7%) missing valuesMissing
업태구분명 has 86 (100.0%) missing valuesMissing
좌표정보(X) has 5 (5.8%) missing valuesMissing
좌표정보(Y) has 5 (5.8%) missing valuesMissing
총면적 has 64 (74.4%) missing valuesMissing
관리번호 has unique valuesUnique
인허가일자 has unique valuesUnique
최종수정일자 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-05-11 07:12:24.882403
Analysis finished2024-05-11 07:12:25.336927
Duration0.45 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size820.0 B
3030000
86 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3030000
2nd row3030000
3rd row3030000
4th row3030000
5th row3030000

Common Values

ValueCountFrequency (%)
3030000 86
100.0%

Length

2024-05-11T16:12:25.389802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:12:25.480297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3030000 86
100.0%

관리번호
Text

UNIQUE 

Distinct86
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size820.0 B
2024-05-11T16:12:25.631826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters2150
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

Unique86 ?
Unique (%)100.0%

Sample

1st rowPHMB219793030033082200001
2nd rowPHMB219843030033082200001
3rd rowPHMB219843030033082200002
4th rowPHMB219853030033082200001
5th rowPHMB219873030033082200001
ValueCountFrequency (%)
phmb219793030033082200001 1
 
1.2%
phmb220143030033082200003 1
 
1.2%
phmb220173030033082200005 1
 
1.2%
phmb220173030033082200004 1
 
1.2%
phmb220173030033082200003 1
 
1.2%
phmb220173030033082200002 1
 
1.2%
phmb220173030033082200001 1
 
1.2%
phmb220163030033082200001 1
 
1.2%
phmb220153030033082200002 1
 
1.2%
phmb220183030033082200007 1
 
1.2%
Other values (76) 76
88.4%
2024-05-11T16:12:25.930715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 779
36.2%
2 370
17.2%
3 370
17.2%
8 103
 
4.8%
1 94
 
4.4%
P 86
 
4.0%
H 86
 
4.0%
M 86
 
4.0%
B 86
 
4.0%
9 47
 
2.2%
Other values (4) 43
 
2.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1806
84.0%
Uppercase Letter 344
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 779
43.1%
2 370
20.5%
3 370
20.5%
8 103
 
5.7%
1 94
 
5.2%
9 47
 
2.6%
4 17
 
0.9%
7 11
 
0.6%
5 10
 
0.6%
6 5
 
0.3%
Uppercase Letter
ValueCountFrequency (%)
P 86
25.0%
H 86
25.0%
M 86
25.0%
B 86
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1806
84.0%
Latin 344
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 779
43.1%
2 370
20.5%
3 370
20.5%
8 103
 
5.7%
1 94
 
5.2%
9 47
 
2.6%
4 17
 
0.9%
7 11
 
0.6%
5 10
 
0.6%
6 5
 
0.3%
Latin
ValueCountFrequency (%)
P 86
25.0%
H 86
25.0%
M 86
25.0%
B 86
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2150
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 779
36.2%
2 370
17.2%
3 370
17.2%
8 103
 
4.8%
1 94
 
4.4%
P 86
 
4.0%
H 86
 
4.0%
M 86
 
4.0%
B 86
 
4.0%
9 47
 
2.2%
Other values (4) 43
 
2.0%

인허가일자
Date

UNIQUE 

Distinct86
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size820.0 B
Minimum1979-02-02 00:00:00
Maximum2024-03-19 00:00:00
2024-05-11T16:12:26.055711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T16:12:26.166104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing86
Missing (%)100.0%
Memory size906.0 B

영업상태코드
Categorical

Distinct2
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size820.0 B
1
59 
3
27 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 59
68.6%
3 27
31.4%

Length

2024-05-11T16:12:26.274844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:12:26.356463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 59
68.6%
3 27
31.4%

영업상태명
Categorical

Distinct2
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size820.0 B
영업/정상
59 
폐업
27 

Length

Max length5
Median length5
Mean length4.0581395
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 59
68.6%
폐업 27
31.4%

Length

2024-05-11T16:12:26.447731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:12:26.533803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 59
68.6%
폐업 27
31.4%

상세영업상태코드
Categorical

Distinct2
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size820.0 B
13
59 
3
27 

Length

Max length2
Median length2
Mean length1.6860465
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 59
68.6%
3 27
31.4%

Length

2024-05-11T16:12:26.626501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:12:26.746887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 59
68.6%
3 27
31.4%

상세영업상태명
Categorical

Distinct2
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size820.0 B
영업중
59 
폐업
27 

Length

Max length3
Median length3
Mean length2.6860465
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 59
68.6%
폐업 27
31.4%

Length

2024-05-11T16:12:26.860096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:12:26.984890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 59
68.6%
폐업 27
31.4%

폐업일자
Date

MISSING 

Distinct26
Distinct (%)96.3%
Missing59
Missing (%)68.6%
Memory size820.0 B
Minimum2008-12-12 00:00:00
Maximum2023-05-31 00:00:00
2024-05-11T16:12:27.073792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T16:12:27.181486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing86
Missing (%)100.0%
Memory size906.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing86
Missing (%)100.0%
Memory size906.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing86
Missing (%)100.0%
Memory size906.0 B

전화번호
Text

MISSING 

Distinct73
Distinct (%)96.1%
Missing10
Missing (%)11.6%
Memory size820.0 B
2024-05-11T16:12:27.398724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length11.789474
Min length9

Characters and Unicode

Total characters896
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

Unique70 ?
Unique (%)92.1%

Sample

1st row02-2291-7000
2nd row02-465-1658
3rd row02-464-2444
4th row02-2292-8049
5th row02-463-2558
ValueCountFrequency (%)
02-2252-2644 2
 
2.6%
02-499-1382 2
 
2.6%
02-2291-7000 2
 
2.6%
02-549-7200 1
 
1.3%
02-468-1002 1
 
1.3%
02-545-6006 1
 
1.3%
02-2296-1005 1
 
1.3%
02-2281-7717 1
 
1.3%
02-2298-0660 1
 
1.3%
02-466-1116 1
 
1.3%
Other values (63) 63
82.9%
2024-05-11T16:12:27.721560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 214
23.9%
- 150
16.7%
0 144
16.1%
9 63
 
7.0%
4 60
 
6.7%
1 55
 
6.1%
5 50
 
5.6%
6 45
 
5.0%
7 42
 
4.7%
8 39
 
4.4%
Other values (2) 34
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 745
83.1%
Dash Punctuation 150
 
16.7%
Other Punctuation 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 214
28.7%
0 144
19.3%
9 63
 
8.5%
4 60
 
8.1%
1 55
 
7.4%
5 50
 
6.7%
6 45
 
6.0%
7 42
 
5.6%
8 39
 
5.2%
3 33
 
4.4%
Dash Punctuation
ValueCountFrequency (%)
- 150
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 896
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 214
23.9%
- 150
16.7%
0 144
16.1%
9 63
 
7.0%
4 60
 
6.7%
1 55
 
6.1%
5 50
 
5.6%
6 45
 
5.0%
7 42
 
4.7%
8 39
 
4.4%
Other values (2) 34
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 896
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 214
23.9%
- 150
16.7%
0 144
16.1%
9 63
 
7.0%
4 60
 
6.7%
1 55
 
6.1%
5 50
 
5.6%
6 45
 
5.0%
7 42
 
4.7%
8 39
 
4.4%
Other values (2) 34
 
3.8%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing86
Missing (%)100.0%
Memory size906.0 B

소재지우편번호
Text

MISSING 

Distinct14
Distinct (%)87.5%
Missing70
Missing (%)81.4%
Memory size820.0 B
2024-05-11T16:12:27.875148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.1875
Min length6

Characters and Unicode

Total characters99
Distinct characters10
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

Unique12 ?
Unique (%)75.0%

Sample

1st row133801
2nd row133809
3rd row133111
4th row133779
5th row133834
ValueCountFrequency (%)
133801 2
12.5%
133871 2
12.5%
133809 1
 
6.2%
133111 1
 
6.2%
133779 1
 
6.2%
133834 1
 
6.2%
133-827 1
 
6.2%
133866 1
 
6.2%
133828 1
 
6.2%
133821 1
 
6.2%
Other values (4) 4
25.0%
2024-05-11T16:12:28.115757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 34
34.3%
1 27
27.3%
8 13
 
13.1%
0 7
 
7.1%
7 6
 
6.1%
2 4
 
4.0%
- 3
 
3.0%
9 2
 
2.0%
6 2
 
2.0%
4 1
 
1.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 96
97.0%
Dash Punctuation 3
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 34
35.4%
1 27
28.1%
8 13
 
13.5%
0 7
 
7.3%
7 6
 
6.2%
2 4
 
4.2%
9 2
 
2.1%
6 2
 
2.1%
4 1
 
1.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 99
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 34
34.3%
1 27
27.3%
8 13
 
13.1%
0 7
 
7.1%
7 6
 
6.1%
2 4
 
4.0%
- 3
 
3.0%
9 2
 
2.0%
6 2
 
2.0%
4 1
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 99
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 34
34.3%
1 27
27.3%
8 13
 
13.1%
0 7
 
7.1%
7 6
 
6.1%
2 4
 
4.0%
- 3
 
3.0%
9 2
 
2.0%
6 2
 
2.0%
4 1
 
1.0%

지번주소
Text

MISSING 

Distinct83
Distinct (%)97.6%
Missing1
Missing (%)1.2%
Memory size820.0 B
2024-05-11T16:12:28.367081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length39
Mean length26.8
Min length19

Characters and Unicode

Total characters2278
Distinct characters126
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

Unique81 ?
Unique (%)95.3%

Sample

1st row서울특별시 성동구 금호동1가 507번지
2nd row서울특별시 성동구 성수2가동 289번지 20호
3rd row서울특별시 성동구 성수2가 281번지 30호
4th row서울특별시 성동구 하왕십리966번지 14.15호
5th row서울특별시 성동구 성수2가1동 339번지 111호
ValueCountFrequency (%)
서울특별시 85
 
18.5%
성동구 85
 
18.5%
1층 17
 
3.7%
행당동 15
 
3.3%
성수동2가 9
 
2.0%
성수동1가 8
 
1.7%
하왕십리동 7
 
1.5%
1호 5
 
1.1%
금호동4가 5
 
1.1%
289번지 4
 
0.9%
Other values (179) 220
47.8%
2024-05-11T16:12:29.003854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
376
 
16.5%
동 172
 
7.6%
1 139
 
6.1%
성 115
 
5.0%
시 86
 
3.8%
울 86
 
3.8%
서 85
 
3.7%
특 85
 
3.7%
별 85
 
3.7%
구 85
 
3.7%
Other values (116) 964
42.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1350
59.3%
Decimal Number 507
 
22.3%
Space Separator 376
 
16.5%
Dash Punctuation 12
 
0.5%
Uppercase Letter 9
 
0.4%
Open Punctuation 7
 
0.3%
Close Punctuation 7
 
0.3%
Other Punctuation 6
 
0.3%
Lowercase Letter 4
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 172
12.7%
성 115
 
8.5%
시 86
 
6.4%
울 86
 
6.4%
서 85
 
6.3%
특 85
 
6.3%
별 85
 
6.3%
구 85
 
6.3%
호 72
 
5.3%
지 66
 
4.9%
Other values (89) 413
30.6%
Decimal Number
ValueCountFrequency (%)
1 139
27.4%
2 70
13.8%
3 55
 
10.8%
6 46
 
9.1%
0 40
 
7.9%
5 37
 
7.3%
7 33
 
6.5%
4 30
 
5.9%
8 30
 
5.9%
9 27
 
5.3%
Uppercase Letter
ValueCountFrequency (%)
A 3
33.3%
T 1
 
11.1%
V 1
 
11.1%
K 1
 
11.1%
S 1
 
11.1%
J 1
 
11.1%
B 1
 
11.1%
Lowercase Letter
ValueCountFrequency (%)
e 1
25.0%
w 1
25.0%
o 1
25.0%
r 1
25.0%
Other Punctuation
ValueCountFrequency (%)
, 5
83.3%
. 1
 
16.7%
Space Separator
ValueCountFrequency (%)
376
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1350
59.3%
Common 915
40.2%
Latin 13
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 172
12.7%
성 115
 
8.5%
시 86
 
6.4%
울 86
 
6.4%
서 85
 
6.3%
특 85
 
6.3%
별 85
 
6.3%
구 85
 
6.3%
호 72
 
5.3%
지 66
 
4.9%
Other values (89) 413
30.6%
Common
ValueCountFrequency (%)
376
41.1%
1 139
 
15.2%
2 70
 
7.7%
3 55
 
6.0%
6 46
 
5.0%
0 40
 
4.4%
5 37
 
4.0%
7 33
 
3.6%
4 30
 
3.3%
8 30
 
3.3%
Other values (6) 59
 
6.4%
Latin
ValueCountFrequency (%)
A 3
23.1%
e 1
 
7.7%
w 1
 
7.7%
o 1
 
7.7%
T 1
 
7.7%
V 1
 
7.7%
K 1
 
7.7%
S 1
 
7.7%
J 1
 
7.7%
B 1
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1350
59.3%
ASCII 928
40.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
376
40.5%
1 139
 
15.0%
2 70
 
7.5%
3 55
 
5.9%
6 46
 
5.0%
0 40
 
4.3%
5 37
 
4.0%
7 33
 
3.6%
4 30
 
3.2%
8 30
 
3.2%
Other values (17) 72
 
7.8%
Hangul
ValueCountFrequency (%)
동 172
12.7%
성 115
 
8.5%
시 86
 
6.4%
울 86
 
6.4%
서 85
 
6.3%
특 85
 
6.3%
별 85
 
6.3%
구 85
 
6.3%
호 72
 
5.3%
지 66
 
4.9%
Other values (89) 413
30.6%

도로명주소
Text

MISSING 

Distinct82
Distinct (%)100.0%
Missing4
Missing (%)4.7%
Memory size820.0 B
2024-05-11T16:12:29.264902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length43
Mean length33.329268
Min length24

Characters and Unicode

Total characters2733
Distinct characters151
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique82 ?
Unique (%)100.0%

Sample

1st row서울특별시 성동구 금호로 152-1 (금호동1가)
2nd row서울특별시 성동구 아차산로7길 21 (성수동2가)
3rd row서울특별시 성동구 광나루로 334 (성수동2가)
4th row서울특별시 성동구 왕십리로 327 (하왕십리동)
5th row서울특별시 성동구 성덕정길 89 (성수동2가)
ValueCountFrequency (%)
서울특별시 82
 
15.1%
성동구 82
 
15.1%
1층 38
 
7.0%
행당동 20
 
3.7%
성수동2가 16
 
2.9%
왕십리로 14
 
2.6%
성수동1가 11
 
2.0%
하왕십리동 8
 
1.5%
금호동4가 7
 
1.3%
장터길 6
 
1.1%
Other values (189) 259
47.7%
2024-05-11T16:12:29.631719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
461
 
16.9%
동 178
 
6.5%
1 147
 
5.4%
성 118
 
4.3%
서 93
 
3.4%
울 88
 
3.2%
, 86
 
3.1%
) 84
 
3.1%
( 84
 
3.1%
시 83
 
3.0%
Other values (141) 1311
48.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1563
57.2%
Space Separator 461
 
16.9%
Decimal Number 418
 
15.3%
Other Punctuation 87
 
3.2%
Close Punctuation 84
 
3.1%
Open Punctuation 84
 
3.1%
Dash Punctuation 19
 
0.7%
Uppercase Letter 12
 
0.4%
Lowercase Letter 4
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 178
 
11.4%
성 118
 
7.5%
서 93
 
6.0%
울 88
 
5.6%
시 83
 
5.3%
특 82
 
5.2%
별 82
 
5.2%
구 82
 
5.2%
로 59
 
3.8%
층 58
 
3.7%
Other values (112) 640
40.9%
Decimal Number
ValueCountFrequency (%)
1 147
35.2%
2 71
17.0%
3 48
 
11.5%
0 39
 
9.3%
4 35
 
8.4%
7 21
 
5.0%
5 17
 
4.1%
8 15
 
3.6%
9 14
 
3.3%
6 11
 
2.6%
Uppercase Letter
ValueCountFrequency (%)
A 3
25.0%
B 3
25.0%
L 1
 
8.3%
S 1
 
8.3%
K 1
 
8.3%
V 1
 
8.3%
T 1
 
8.3%
J 1
 
8.3%
Lowercase Letter
ValueCountFrequency (%)
o 1
25.0%
w 1
25.0%
e 1
25.0%
r 1
25.0%
Other Punctuation
ValueCountFrequency (%)
, 86
98.9%
? 1
 
1.1%
Space Separator
ValueCountFrequency (%)
461
100.0%
Close Punctuation
ValueCountFrequency (%)
) 84
100.0%
Open Punctuation
ValueCountFrequency (%)
( 84
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 19
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1563
57.2%
Common 1154
42.2%
Latin 16
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 178
 
11.4%
성 118
 
7.5%
서 93
 
6.0%
울 88
 
5.6%
시 83
 
5.3%
특 82
 
5.2%
별 82
 
5.2%
구 82
 
5.2%
로 59
 
3.8%
층 58
 
3.7%
Other values (112) 640
40.9%
Common
ValueCountFrequency (%)
461
39.9%
1 147
 
12.7%
, 86
 
7.5%
) 84
 
7.3%
( 84
 
7.3%
2 71
 
6.2%
3 48
 
4.2%
0 39
 
3.4%
4 35
 
3.0%
7 21
 
1.8%
Other values (7) 78
 
6.8%
Latin
ValueCountFrequency (%)
A 3
18.8%
B 3
18.8%
L 1
 
6.2%
S 1
 
6.2%
K 1
 
6.2%
V 1
 
6.2%
T 1
 
6.2%
o 1
 
6.2%
w 1
 
6.2%
e 1
 
6.2%
Other values (2) 2
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1563
57.2%
ASCII 1170
42.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
461
39.4%
1 147
 
12.6%
, 86
 
7.4%
) 84
 
7.2%
( 84
 
7.2%
2 71
 
6.1%
3 48
 
4.1%
0 39
 
3.3%
4 35
 
3.0%
7 21
 
1.8%
Other values (19) 94
 
8.0%
Hangul
ValueCountFrequency (%)
동 178
 
11.4%
성 118
 
7.5%
서 93
 
6.0%
울 88
 
5.6%
시 83
 
5.3%
특 82
 
5.2%
별 82
 
5.2%
구 82
 
5.2%
로 59
 
3.8%
층 58
 
3.7%
Other values (112) 640
40.9%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct48
Distinct (%)58.5%
Missing4
Missing (%)4.7%
Infinite0
Infinite (%)0.0%
Mean14187.768
Minimum4700
Maximum133883
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size906.0 B
2024-05-11T16:12:29.758979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4700
5-th percentile4702.25
Q14724.25
median4760
Q34782
95-th percentile133772.1
Maximum133883
Range129183
Interquartile range (IQR)57.75

Descriptive statistics

Standard deviation33792.542
Coefficient of variation (CV)2.3818081
Kurtosis9.3804709
Mean14187.768
Median Absolute Deviation (MAD)29
Skewness3.3394784
Sum1163397
Variance1.1419359 × 109
MonotonicityNot monotonic
2024-05-11T16:12:29.912975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
4768 4
 
4.7%
4782 4
 
4.7%
4775 4
 
4.7%
4750 4
 
4.7%
4701 3
 
3.5%
4707 3
 
3.5%
4737 3
 
3.5%
4714 3
 
3.5%
4789 3
 
3.5%
4724 3
 
3.5%
Other values (38) 48
55.8%
(Missing) 4
 
4.7%
ValueCountFrequency (%)
4700 1
 
1.2%
4701 3
3.5%
4702 1
 
1.2%
4707 3
3.5%
4709 1
 
1.2%
4710 1
 
1.2%
4713 1
 
1.2%
4714 3
3.5%
4715 2
2.3%
4716 1
 
1.2%
ValueCountFrequency (%)
133883 1
1.2%
133871 1
1.2%
133867 1
1.2%
133821 1
1.2%
133809 1
1.2%
133071 1
1.2%
4805 1
1.2%
4804 1
1.2%
4801 1
1.2%
4799 2
2.3%

사업장명
Text

Distinct84
Distinct (%)97.7%
Missing0
Missing (%)0.0%
Memory size820.0 B
2024-05-11T16:12:30.177440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length21
Mean length7.8023256
Min length3

Characters and Unicode

Total characters671
Distinct characters193
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

Unique82 ?
Unique (%)95.3%

Sample

1st row독일안경원
2nd row새로나안경원
3rd row그랑프리안경.렌즈아이
4th row프랑스안경원
5th row모던안경콘택트마트
ValueCountFrequency (%)
오렌즈 3
 
2.7%
테라안경 2
 
1.8%
glass 2
 
1.8%
안경원 2
 
1.8%
눈안경원 2
 
1.8%
언커먼 1
 
0.9%
일생안경 1
 
0.9%
상왕십리역점 1
 
0.9%
다비치안경 1
 
0.9%
우리안경 1
 
0.9%
Other values (94) 94
85.5%
2024-05-11T16:12:30.560111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
안 67
 
10.0%
경 67
 
10.0%
원 30
 
4.5%
24
 
3.6%
이 21
 
3.1%
아 16
 
2.4%
스 16
 
2.4%
) 15
 
2.2%
( 15
 
2.2%
리 13
 
1.9%
Other values (183) 387
57.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 531
79.1%
Uppercase Letter 51
 
7.6%
Lowercase Letter 27
 
4.0%
Space Separator 24
 
3.6%
Close Punctuation 15
 
2.2%
Open Punctuation 15
 
2.2%
Decimal Number 6
 
0.9%
Other Punctuation 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
안 67
 
12.6%
경 67
 
12.6%
원 30
 
5.6%
이 21
 
4.0%
아 16
 
3.0%
스 16
 
3.0%
리 13
 
2.4%
점 12
 
2.3%
트 12
 
2.3%
즈 9
 
1.7%
Other values (141) 268
50.5%
Uppercase Letter
ValueCountFrequency (%)
O 7
13.7%
L 5
9.8%
A 5
9.8%
S 5
9.8%
E 4
 
7.8%
I 4
 
7.8%
T 4
 
7.8%
C 3
 
5.9%
P 2
 
3.9%
G 2
 
3.9%
Other values (8) 10
19.6%
Lowercase Letter
ValueCountFrequency (%)
e 5
18.5%
t 3
11.1%
a 3
11.1%
r 2
 
7.4%
s 2
 
7.4%
y 2
 
7.4%
w 1
 
3.7%
h 1
 
3.7%
k 1
 
3.7%
o 1
 
3.7%
Other values (6) 6
22.2%
Decimal Number
ValueCountFrequency (%)
1 2
33.3%
0 2
33.3%
5 2
33.3%
Other Punctuation
ValueCountFrequency (%)
& 1
50.0%
. 1
50.0%
Space Separator
ValueCountFrequency (%)
24
100.0%
Close Punctuation
ValueCountFrequency (%)
) 15
100.0%
Open Punctuation
ValueCountFrequency (%)
( 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 531
79.1%
Latin 78
 
11.6%
Common 62
 
9.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
안 67
 
12.6%
경 67
 
12.6%
원 30
 
5.6%
이 21
 
4.0%
아 16
 
3.0%
스 16
 
3.0%
리 13
 
2.4%
점 12
 
2.3%
트 12
 
2.3%
즈 9
 
1.7%
Other values (141) 268
50.5%
Latin
ValueCountFrequency (%)
O 7
 
9.0%
e 5
 
6.4%
L 5
 
6.4%
A 5
 
6.4%
S 5
 
6.4%
E 4
 
5.1%
I 4
 
5.1%
T 4
 
5.1%
t 3
 
3.8%
a 3
 
3.8%
Other values (24) 33
42.3%
Common
ValueCountFrequency (%)
24
38.7%
) 15
24.2%
( 15
24.2%
1 2
 
3.2%
0 2
 
3.2%
5 2
 
3.2%
& 1
 
1.6%
. 1
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 531
79.1%
ASCII 140
 
20.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
안 67
 
12.6%
경 67
 
12.6%
원 30
 
5.6%
이 21
 
4.0%
아 16
 
3.0%
스 16
 
3.0%
리 13
 
2.4%
점 12
 
2.3%
트 12
 
2.3%
즈 9
 
1.7%
Other values (141) 268
50.5%
ASCII
ValueCountFrequency (%)
24
17.1%
) 15
 
10.7%
( 15
 
10.7%
O 7
 
5.0%
e 5
 
3.6%
L 5
 
3.6%
A 5
 
3.6%
S 5
 
3.6%
E 4
 
2.9%
I 4
 
2.9%
Other values (32) 51
36.4%

최종수정일자
Date

UNIQUE 

Distinct86
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size820.0 B
Minimum2010-01-12 10:43:08
Maximum2024-04-22 11:43:03
2024-05-11T16:12:30.679286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T16:12:30.793347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size820.0 B
U
48 
I
38 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 48
55.8%
I 38
44.2%

Length

2024-05-11T16:12:30.914200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:12:31.010037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 48
55.8%
i 38
44.2%

데이터갱신일자
Categorical

Distinct39
Distinct (%)45.3%
Missing0
Missing (%)0.0%
Memory size820.0 B
2018-08-31 23:59:59.0
31 
2023-12-03 00:07:00.0
15 
2023-12-02 22:03:00.0
 
3
2018-10-11 23:59:59.0
 
2
2019-02-13 02:40:00.0
 
1
Other values (34)
34 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique35 ?
Unique (%)40.7%

Sample

1st row2021-03-20 02:40:00.0
2nd row2018-08-31 23:59:59.0
3rd row2020-05-03 02:40:00.0
4th row2018-08-31 23:59:59.0
5th row2018-08-31 23:59:59.0

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 31
36.0%
2023-12-03 00:07:00.0 15
17.4%
2023-12-02 22:03:00.0 3
 
3.5%
2018-10-11 23:59:59.0 2
 
2.3%
2019-02-13 02:40:00.0 1
 
1.2%
2020-05-03 02:40:00.0 1
 
1.2%
2021-12-04 23:01:00.0 1
 
1.2%
2021-05-12 02:40:00.0 1
 
1.2%
2020-10-17 02:40:00.0 1
 
1.2%
2020-08-09 02:40:00.0 1
 
1.2%
Other values (29) 29
33.7%

Length

2024-05-11T16:12:31.097906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
23:59:59.0 33
19.2%
2018-08-31 31
18.0%
02:40:00.0 19
11.0%
2023-12-03 16
 
9.3%
00:07:00.0 15
 
8.7%
22:03:00.0 6
 
3.5%
2023-12-02 5
 
2.9%
2018-10-11 2
 
1.2%
2022-12-02 2
 
1.2%
2021-05-12 2
 
1.2%
Other values (41) 41
23.8%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing86
Missing (%)100.0%
Memory size906.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct75
Distinct (%)92.6%
Missing5
Missing (%)5.8%
Infinite0
Infinite (%)0.0%
Mean203284
Minimum201153.98
Maximum205834.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size906.0 B
2024-05-11T16:12:31.210128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum201153.98
5-th percentile201552.14
Q1202372.91
median203321.56
Q3204176.1
95-th percentile204976.65
Maximum205834.1
Range4680.1164
Interquartile range (IQR)1803.1899

Descriptive statistics

Standard deviation1167.9151
Coefficient of variation (CV)0.0057452389
Kurtosis-0.86545766
Mean203284
Median Absolute Deviation (MAD)948.65031
Skewness0.16794678
Sum16466004
Variance1364025.7
MonotonicityNot monotonic
2024-05-11T16:12:31.343640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
201647.030855861 2
 
2.3%
204976.652050117 2
 
2.3%
203321.562330114 2
 
2.3%
201886.383803036 2
 
2.3%
202372.912023599 2
 
2.3%
204153.868423343 2
 
2.3%
202188.303862016 1
 
1.2%
202358.030113277 1
 
1.2%
202627.625662233 1
 
1.2%
202213.47429704 1
 
1.2%
Other values (65) 65
75.6%
(Missing) 5
 
5.8%
ValueCountFrequency (%)
201153.981577199 1
1.2%
201415.07880648 1
1.2%
201432.720752422 1
1.2%
201538.05612719 1
1.2%
201552.141306868 1
1.2%
201647.030855861 2
2.3%
201699.769238972 1
1.2%
201726.904899878 1
1.2%
201727.067299906 1
1.2%
201730.244282097 1
1.2%
ValueCountFrequency (%)
205834.097987543 1
1.2%
205823.2548387 1
1.2%
205638.676388032 1
1.2%
204976.652050117 2
2.3%
204847.823468732 1
1.2%
204764.658079784 1
1.2%
204735.992363693 1
1.2%
204721.349254596 1
1.2%
204703.606389472 1
1.2%
204701.47210078 1
1.2%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct75
Distinct (%)92.6%
Missing5
Missing (%)5.8%
Infinite0
Infinite (%)0.0%
Mean450118.3
Minimum448401.74
Maximum451897.58
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size906.0 B
2024-05-11T16:12:31.476988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum448401.74
5-th percentile448607.44
Q1449429.75
median449704.73
Q3451001.87
95-th percentile451552.72
Maximum451897.58
Range3495.8438
Interquartile range (IQR)1572.1231

Descriptive statistics

Standard deviation978.22932
Coefficient of variation (CV)0.0021732716
Kurtosis-1.302537
Mean450118.3
Median Absolute Deviation (MAD)897.67054
Skewness0.10485692
Sum36459582
Variance956932.6
MonotonicityNot monotonic
2024-05-11T16:12:31.611531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
449580.545649241 2
 
2.3%
449220.696790644 2
 
2.3%
451001.868687869 2
 
2.3%
449529.945528725 2
 
2.3%
451536.680876573 2
 
2.3%
449514.177997578 2
 
2.3%
449262.354630991 1
 
1.2%
451375.886289237 1
 
1.2%
449704.729563482 1
 
1.2%
449840.861215377 1
 
1.2%
Other values (65) 65
75.6%
(Missing) 5
 
5.8%
ValueCountFrequency (%)
448401.738085211 1
1.2%
448435.212398595 1
1.2%
448519.399996312 1
1.2%
448529.261954018 1
1.2%
448607.441251647 1
1.2%
448799.916898175 1
1.2%
448807.05902696 1
1.2%
448851.242341856 1
1.2%
448894.755196992 1
1.2%
449011.026503967 1
1.2%
ValueCountFrequency (%)
451897.581865192 1
1.2%
451809.190992068 1
1.2%
451594.707188 1
1.2%
451587.827370633 1
1.2%
451552.724286811 1
1.2%
451542.747433692 1
1.2%
451536.680876573 2
2.3%
451451.684126602 1
1.2%
451375.886289237 1
1.2%
451370.151136153 1
1.2%

시력표수
Categorical

Distinct4
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size820.0 B
<NA>
31 
0
28 
1
25 
2
 
2

Length

Max length4
Median length1
Mean length2.0813953
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
<NA> 31
36.0%
0 28
32.6%
1 25
29.1%
2 2
 
2.3%

Length

2024-05-11T16:12:31.737810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:12:31.833510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 31
36.0%
0 28
32.6%
1 25
29.1%
2 2
 
2.3%

표본렌즈수
Categorical

Distinct4
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size820.0 B
<NA>
32 
0
29 
1
24 
2
 
1

Length

Max length4
Median length1
Mean length2.1162791
Min length1

Unique

Unique1 ?
Unique (%)1.2%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
<NA> 32
37.2%
0 29
33.7%
1 24
27.9%
2 1
 
1.2%

Length

2024-05-11T16:12:31.932033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:12:32.034732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 32
37.2%
0 29
33.7%
1 24
27.9%
2 1
 
1.2%

측정의자수
Categorical

Distinct4
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size820.0 B
<NA>
32 
0
29 
1
24 
2
 
1

Length

Max length4
Median length1
Mean length2.1162791
Min length1

Unique

Unique1 ?
Unique (%)1.2%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
<NA> 32
37.2%
0 29
33.7%
1 24
27.9%
2 1
 
1.2%

Length

2024-05-11T16:12:32.148672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:12:32.251903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 32
37.2%
0 29
33.7%
1 24
27.9%
2 1
 
1.2%

동공거리측정기수
Categorical

Distinct5
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Memory size820.0 B
<NA>
31 
0
28 
1
23 
2
 
3
3
 
1

Length

Max length4
Median length1
Mean length2.0813953
Min length1

Unique

Unique1 ?
Unique (%)1.2%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
<NA> 31
36.0%
0 28
32.6%
1 23
26.7%
2 3
 
3.5%
3 1
 
1.2%

Length

2024-05-11T16:12:32.345901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:12:32.442376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 31
36.0%
0 28
32.6%
1 23
26.7%
2 3
 
3.5%
3 1
 
1.2%

정점굴절계기수
Categorical

Distinct5
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Memory size820.0 B
<NA>
31 
0
28 
1
19 
2
7 
3
 
1

Length

Max length4
Median length1
Mean length2.0813953
Min length1

Unique

Unique1 ?
Unique (%)1.2%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
<NA> 31
36.0%
0 28
32.6%
1 19
22.1%
2 7
 
8.1%
3 1
 
1.2%

Length

2024-05-11T16:12:32.552440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:12:32.644723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 31
36.0%
0 28
32.6%
1 19
22.1%
2 7
 
8.1%
3 1
 
1.2%

조제용연마기수
Categorical

Distinct4
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size820.0 B
<NA>
32 
0
29 
1
23 
2
 
2

Length

Max length4
Median length1
Mean length2.1162791
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
<NA> 32
37.2%
0 29
33.7%
1 23
26.7%
2 2
 
2.3%

Length

2024-05-11T16:12:32.774523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:12:32.882707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 32
37.2%
0 29
33.7%
1 23
26.7%
2 2
 
2.3%

렌즈절단기수
Categorical

Distinct4
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size820.0 B
<NA>
32 
0
29 
1
24 
2
 
1

Length

Max length4
Median length1
Mean length2.1162791
Min length1

Unique

Unique1 ?
Unique (%)1.2%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
<NA> 32
37.2%
0 29
33.7%
1 24
27.9%
2 1
 
1.2%

Length

2024-05-11T16:12:32.995625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:12:33.123621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 32
37.2%
0 29
33.7%
1 24
27.9%
2 1
 
1.2%

가열기수
Categorical

Distinct5
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Memory size820.0 B
<NA>
32 
0
29 
1
16 
2
8 
3
 
1

Length

Max length4
Median length1
Mean length2.1162791
Min length1

Unique

Unique1 ?
Unique (%)1.2%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
<NA> 32
37.2%
0 29
33.7%
1 16
18.6%
2 8
 
9.3%
3 1
 
1.2%

Length

2024-05-11T16:12:33.245882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:12:33.362859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 32
37.2%
0 29
33.7%
1 16
18.6%
2 8
 
9.3%
3 1
 
1.2%

안경세척기수
Categorical

Distinct5
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Memory size820.0 B
<NA>
32 
0
29 
1
16 
2
8 
3
 
1

Length

Max length4
Median length1
Mean length2.1162791
Min length1

Unique

Unique1 ?
Unique (%)1.2%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
<NA> 32
37.2%
0 29
33.7%
1 16
18.6%
2 8
 
9.3%
3 1
 
1.2%

Length

2024-05-11T16:12:33.481039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:12:33.596992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 32
37.2%
0 29
33.7%
1 16
18.6%
2 8
 
9.3%
3 1
 
1.2%

총면적
Real number (ℝ)

MISSING 

Distinct22
Distinct (%)100.0%
Missing64
Missing (%)74.4%
Infinite0
Infinite (%)0.0%
Mean60.259091
Minimum19.48
Maximum193.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size906.0 B
2024-05-11T16:12:33.699787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19.48
5-th percentile22.169
Q133.16
median49.235
Q365.13
95-th percentile163.775
Maximum193.5
Range174.02
Interquartile range (IQR)31.97

Descriptive statistics

Standard deviation43.863642
Coefficient of variation (CV)0.72791741
Kurtosis4.3661139
Mean60.259091
Median Absolute Deviation (MAD)17.905
Skewness2.0926953
Sum1325.7
Variance1924.019
MonotonicityNot monotonic
2024-05-11T16:12:33.820222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
72.37 1
 
1.2%
51.7 1
 
1.2%
67.49 1
 
1.2%
193.5 1
 
1.2%
41.28 1
 
1.2%
45.43 1
 
1.2%
26.33 1
 
1.2%
28.28 1
 
1.2%
167.2 1
 
1.2%
37.6 1
 
1.2%
Other values (12) 12
 
14.0%
(Missing) 64
74.4%
ValueCountFrequency (%)
19.48 1
1.2%
21.95 1
1.2%
26.33 1
1.2%
28.1 1
1.2%
28.28 1
1.2%
31.68 1
1.2%
37.6 1
1.2%
38.8 1
1.2%
41.28 1
1.2%
45.43 1
1.2%
ValueCountFrequency (%)
193.5 1
1.2%
167.2 1
1.2%
98.7 1
1.2%
82.91 1
1.2%
72.37 1
1.2%
67.49 1
1.2%
58.05 1
1.2%
56.98 1
1.2%
56.1 1
1.2%
55.0 1
1.2%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)시력표수표본렌즈수측정의자수동공거리측정기수정점굴절계기수조제용연마기수렌즈절단기수가열기수안경세척기수총면적
03030000PHMB21979303003308220000119790202<NA>3폐업3폐업20210310<NA><NA><NA>02-2291-7000<NA>133801서울특별시 성동구 금호동1가 507번지서울특별시 성동구 금호로 152-1 (금호동1가)4727독일안경원2021-03-18 13:12:00U2021-03-20 02:40:00.0<NA>201726.9049450247.707089000000000<NA>
13030000PHMB21984303003308220000119840111<NA>1영업/정상13영업중<NA><NA><NA><NA>02-465-1658<NA><NA>서울특별시 성동구 성수2가동 289번지 20호서울특별시 성동구 아차산로7길 21 (성수동2가)4793새로나안경원2013-09-12 13:27:25I2018-08-31 23:59:59.0<NA>204764.65808449437.628335000000000<NA>
23030000PHMB21984303003308220000219841013<NA>1영업/정상13영업중<NA><NA><NA><NA>02-464-2444<NA><NA>서울특별시 성동구 성수2가 281번지 30호서울특별시 성동구 광나루로 334 (성수동2가)4799그랑프리안경.렌즈아이2020-05-01 16:19:40U2020-05-03 02:40:00.0<NA>205834.097988449525.919848000000000<NA>
33030000PHMB21985303003308220000119851122<NA>3폐업3폐업20160805<NA><NA><NA>02-2292-8049<NA><NA>서울특별시 성동구 하왕십리966번지 14.15호서울특별시 성동구 왕십리로 327 (하왕십리동)4715프랑스안경원2016-09-22 10:37:52I2018-08-31 23:59:59.0<NA>202864.365699451121.94726000000000<NA>
43030000PHMB21987303003308220000119870325<NA>1영업/정상13영업중<NA><NA><NA><NA>02-463-2558<NA><NA>서울특별시 성동구 성수2가1동 339번지 111호서울특별시 성동구 성덕정길 89 (성수동2가)4775모던안경콘택트마트2013-09-12 13:32:12I2018-08-31 23:59:59.0<NA>204666.782144448401.738085000000000<NA>
53030000PHMB21987303003308220000219870622<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2249-1426<NA><NA>서울특별시 성동구 용답동 73번지 2호서울특별시 성동구 천호대로 292 (용답동)4804광문안경원2015-04-10 10:26:32I2018-08-31 23:59:59.0<NA>204609.299038451552.724287000000000<NA>
63030000PHMB21990303003308220000119900830<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2291-8001<NA><NA>서울특별시 성동구 홍익동 408번지서울특별시 성동구 마장로 186, 1층 (홍익동)4707원앤원(1&1)안경콘택트2022-05-09 17:01:03U2021-12-04 23:01:00.0<NA>202619.494114451587.827371<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73030000PHMB21991303003308220000119910126<NA>3폐업3폐업20210510<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 독서당로 300 (금호동4가)4737눈안경원2021-05-10 15:15:14U2021-05-12 02:40:00.0<NA>201886.383803449529.945529000000000<NA>
83030000PHMB21991303003308220000219910316<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2281-6407<NA>133809서울특별시 성동구 금호동4가 1121번지 4호서울특별시 성동구 장터길 40-1 (금호동4가)4725금호안경원2015-05-08 15:09:09I2018-08-31 23:59:59.0<NA>201727.0673449551.266484000000000<NA>
93030000PHMB21991303003308220000319910518<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2295-3355<NA><NA>서울특별시 성동구 하왕십리동 979번지 1호서울특별시 성동구 무학봉길 68, 1층 (하왕십리동)4714룩 스토어2020-10-15 14:52:50U2020-10-17 02:40:00.0<NA>202603.247066450946.17606711123213356.1
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)시력표수표본렌즈수측정의자수동공거리측정기수정점굴절계기수조제용연마기수렌즈절단기수가열기수안경세척기수총면적
763030000PHMB2202130300330822000032021-06-02<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2292-2777<NA><NA>서울특별시 성동구 도선동 257 202호서울특별시 성동구 왕십리로 336, 202호 (도선동)4709으뜸플러스안경 왕십리점2024-03-05 10:22:53U2023-12-03 00:07:00.0<NA>202831.929485451207.501855<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
773030000PHMB22021303003308220000420211020<NA>1영업/정상13영업중<NA><NA><NA><NA>02-549-7200<NA><NA>서울특별시 성동구 성수동1가 706 쌍용아파트서울특별시 성동구 상원길 65, 쌍용아파트 상가A동 103호 (성수동1가)4788디엘안경2022-11-23 16:40:19U2021-10-31 22:05:00.0<NA>204093.396255449695.08413<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
783030000PHMB2202230300330822000012022-03-03<NA>1영업/정상13영업중<NA><NA><NA><NA>070-8691-3585<NA><NA>서울특별시 성동구 성수동2가 301-46서울특별시 성동구 성수일로 42, 1층 (성수동2가)4782뷰맵성수스토어2024-03-05 10:22:10U2023-12-03 00:07:00.0<NA>204329.606273449106.59582<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
793030000PHMB2202230300330822000022022-04-20<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2135-6130<NA><NA>서울특별시 성동구 성수동2가 321-15 빌딩8서울특별시 성동구 성수이로7길 30, 빌딩8 1층 (성수동2가)4781디렉토(DIRECTO)2024-03-05 10:20:59U2023-12-03 00:07:00.0<NA>204701.472101448851.242342<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
803030000PHMB2202230300330822000032022-07-14<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2299-3044<NA><NA>서울특별시 성동구 하왕십리동 1066 텐즈힐서울특별시 성동구 무학로 33, 151동 101호 (하왕십리동, 텐즈힐)4702안경매니저 왕십리텐즈힐점2024-03-05 10:20:01U2023-12-03 00:07:00.0<NA>202401.066045451809.190992<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
813030000PHMB2202330300330822000012023-01-31<NA>1영업/정상13영업중<NA><NA><NA><NA>0507-1473-1049<NA><NA>서울특별시 성동구 성수동2가 309-144 신원지기공업사서울특별시 성동구 성수이로7길 24, 신원지기공업사 지하1층 (성수동2가)4781일생안경2024-03-20 09:11:35U2023-12-02 22:03:00.0<NA>204735.992364448799.916898<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
823030000PHMB2202330300330822000022023-04-20<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2299-9998<NA><NA>서울특별시 성동구 금호동4가 559서울특별시 성동구 독서당로 300, 1층 102호 (금호동4가)4737눈안경원2023-04-20 18:00:27I2022-12-03 22:03:00.0<NA>201886.383803449529.945529<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
833030000PHMB2202330300330822000032023-05-03<NA>1영업/정상13영업중<NA><NA><NA><NA>02-465-8487<NA><NA>서울특별시 성동구 성수동1가 685-493서울특별시 성동구 서울숲2길 11-7, 1?2층 (성수동1가)4768언커먼 아이웨어2023-05-03 13:23:12I2022-12-05 00:05:00.0<NA>203460.418433449470.01256<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
843030000PHMB2202430300330822000012024-03-13<NA>1영업/정상13영업중<NA><NA><NA><NA>02-466-3733<NA><NA>서울특별시 성동구 성수동1가 668-78 1층서울특별시 성동구 서울숲4길 18-6, 1층 (성수동1가)4768블루선2024-03-14 08:58:40I2023-12-02 23:06:00.0<NA>203710.813112449430.157153<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
853030000PHMB2202430300330822000022024-03-19<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 성수동2가 316-20 1층서울특별시 성동구 연무장길 29-1, 1층 (성수동2가)4782오렌즈 성수2024-03-19 10:22:34I2023-12-02 22:01:00.0<NA>204588.156707449011.026504<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>