Overview

Dataset statistics

Number of variables35
Number of observations149
Missing cells1124
Missing cells (%)21.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory44.1 KiB
Average record size in memory302.9 B

Variable types

Categorical15
Text5
DateTime4
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),시력표수,표본렌즈수,측정의자수,동공거리측정기수,정점굴절계기수,조제용연마기수,렌즈절단기수,가열기수,안경세척기수,총면적
Author양천구
URLhttps://data.seoul.go.kr/dataList/OA-16396/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has 149 (100.0%) missing valuesMissing
폐업일자 has 98 (65.8%) missing valuesMissing
휴업시작일자 has 149 (100.0%) missing valuesMissing
휴업종료일자 has 149 (100.0%) missing valuesMissing
재개업일자 has 149 (100.0%) missing valuesMissing
전화번호 has 25 (16.8%) missing valuesMissing
소재지면적 has 149 (100.0%) missing valuesMissing
지번주소 has 4 (2.7%) missing valuesMissing
도로명주소 has 17 (11.4%) missing valuesMissing
도로명우편번호 has 17 (11.4%) missing valuesMissing
업태구분명 has 149 (100.0%) missing valuesMissing
표본렌즈수 has 28 (18.8%) missing valuesMissing
총면적 has 41 (27.5%) 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
표본렌즈수 has 61 (40.9%) zerosZeros

Reproduction

Analysis started2024-04-29 18:59:16.583234
Analysis finished2024-04-29 18:59:17.329095
Duration0.75 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
3140000
149 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3140000
2nd row3140000
3rd row3140000
4th row3140000
5th row3140000

Common Values

ValueCountFrequency (%)
3140000 149
100.0%

Length

2024-04-30T03:59:17.392658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:59:17.475575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3140000 149
100.0%

관리번호
Text

UNIQUE 

Distinct149
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2024-04-30T03:59:17.620726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters3725
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

Unique149 ?
Unique (%)100.0%

Sample

1st rowPHMB219843140033082200001
2nd rowPHMB219853140033082200001
3rd rowPHMB219863140033082200001
4th rowPHMB219863140033082200002
5th rowPHMB219873140033082200001
ValueCountFrequency (%)
phmb219843140033082200001 1
 
0.7%
phmb220073140033082200005 1
 
0.7%
phmb220113140033082200001 1
 
0.7%
phmb220113140033082200002 1
 
0.7%
phmb220113140033082200003 1
 
0.7%
phmb220113140033082200004 1
 
0.7%
phmb220113140033082200005 1
 
0.7%
phmb220113140033082200006 1
 
0.7%
phmb220113140033082200007 1
 
0.7%
phmb220113140033082200008 1
 
0.7%
Other values (139) 139
93.3%
2024-04-30T03:59:17.897583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1218
32.7%
2 617
16.6%
3 484
 
13.0%
1 288
 
7.7%
4 186
 
5.0%
8 172
 
4.6%
P 149
 
4.0%
H 149
 
4.0%
M 149
 
4.0%
B 149
 
4.0%
Other values (4) 164
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3129
84.0%
Uppercase Letter 596
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1218
38.9%
2 617
19.7%
3 484
 
15.5%
1 288
 
9.2%
4 186
 
5.9%
8 172
 
5.5%
9 94
 
3.0%
5 25
 
0.8%
7 23
 
0.7%
6 22
 
0.7%
Uppercase Letter
ValueCountFrequency (%)
P 149
25.0%
H 149
25.0%
M 149
25.0%
B 149
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3129
84.0%
Latin 596
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1218
38.9%
2 617
19.7%
3 484
 
15.5%
1 288
 
9.2%
4 186
 
5.9%
8 172
 
5.5%
9 94
 
3.0%
5 25
 
0.8%
7 23
 
0.7%
6 22
 
0.7%
Latin
ValueCountFrequency (%)
P 149
25.0%
H 149
25.0%
M 149
25.0%
B 149
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3725
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1218
32.7%
2 617
16.6%
3 484
 
13.0%
1 288
 
7.7%
4 186
 
5.0%
8 172
 
4.6%
P 149
 
4.0%
H 149
 
4.0%
M 149
 
4.0%
B 149
 
4.0%
Other values (4) 164
 
4.4%

인허가일자
Date

Distinct145
Distinct (%)97.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
Minimum1984-12-15 00:00:00
Maximum2024-02-28 00:00:00
2024-04-30T03:59:18.022503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T03:59:18.168444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing149
Missing (%)100.0%
Memory size1.4 KiB

영업상태코드
Categorical

Distinct3
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
1
98 
3
50 
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.7%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row4

Common Values

ValueCountFrequency (%)
1 98
65.8%
3 50
33.6%
4 1
 
0.7%

Length

2024-04-30T03:59:18.292829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:59:18.384655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 98
65.8%
3 50
33.6%
4 1
 
0.7%

영업상태명
Categorical

Distinct3
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
영업/정상
98 
폐업
50 
취소/말소/만료/정지/중지
 
1

Length

Max length14
Median length5
Mean length4.0536913
Min length2

Unique

Unique1 ?
Unique (%)0.7%

Sample

1st row영업/정상
2nd row영업/정상
3rd row영업/정상
4th row영업/정상
5th row취소/말소/만료/정지/중지

Common Values

ValueCountFrequency (%)
영업/정상 98
65.8%
폐업 50
33.6%
취소/말소/만료/정지/중지 1
 
0.7%

Length

2024-04-30T03:59:18.481907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:59:18.588794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 98
65.8%
폐업 50
33.6%
취소/말소/만료/정지/중지 1
 
0.7%

상세영업상태코드
Categorical

Distinct3
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
13
98 
3
50 
24
 
1

Length

Max length2
Median length2
Mean length1.6644295
Min length1

Unique

Unique1 ?
Unique (%)0.7%

Sample

1st row13
2nd row13
3rd row13
4th row13
5th row24

Common Values

ValueCountFrequency (%)
13 98
65.8%
3 50
33.6%
24 1
 
0.7%

Length

2024-04-30T03:59:18.695265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:59:18.784040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 98
65.8%
3 50
33.6%
24 1
 
0.7%

상세영업상태명
Categorical

Distinct3
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
영업중
98 
폐업
50 
직권폐업
 
1

Length

Max length4
Median length3
Mean length2.6711409
Min length2

Unique

Unique1 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 98
65.8%
폐업 50
33.6%
직권폐업 1
 
0.7%

Length

2024-04-30T03:59:18.880766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:59:18.971587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 98
65.8%
폐업 50
33.6%
직권폐업 1
 
0.7%

폐업일자
Date

MISSING 

Distinct51
Distinct (%)100.0%
Missing98
Missing (%)65.8%
Memory size1.3 KiB
Minimum2008-09-22 00:00:00
Maximum2023-12-27 00:00:00
2024-04-30T03:59:19.078611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T03:59:19.197143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing149
Missing (%)100.0%
Memory size1.4 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing149
Missing (%)100.0%
Memory size1.4 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing149
Missing (%)100.0%
Memory size1.4 KiB

전화번호
Text

MISSING 

Distinct121
Distinct (%)97.6%
Missing25
Missing (%)16.8%
Memory size1.3 KiB
2024-04-30T03:59:19.441676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length9
Mean length9.8145161
Min length8

Characters and Unicode

Total characters1217
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

Unique118 ?
Unique (%)95.2%

Sample

1st row2645-3848
2nd row2065-1184
3rd row2647-9766
4th row2693-7204
5th row2645-1832
ValueCountFrequency (%)
2645-1832 2
 
1.6%
2603-1700 2
 
1.6%
02-6678-3185 2
 
1.6%
0226995010 1
 
0.8%
2648-1003 1
 
0.8%
2601-6026 1
 
0.8%
2645-1546 1
 
0.8%
2061-1300 1
 
0.8%
2604-7703 1
 
0.8%
2648-4478 1
 
0.8%
Other values (111) 111
89.5%
2024-04-30T03:59:19.803880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 194
15.9%
0 178
14.6%
6 164
13.5%
- 157
12.9%
5 101
8.3%
4 98
8.1%
1 98
8.1%
8 64
 
5.3%
3 62
 
5.1%
7 52
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1060
87.1%
Dash Punctuation 157
 
12.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 194
18.3%
0 178
16.8%
6 164
15.5%
5 101
9.5%
4 98
9.2%
1 98
9.2%
8 64
 
6.0%
3 62
 
5.8%
7 52
 
4.9%
9 49
 
4.6%
Dash Punctuation
ValueCountFrequency (%)
- 157
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1217
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 194
15.9%
0 178
14.6%
6 164
13.5%
- 157
12.9%
5 101
8.3%
4 98
8.1%
1 98
8.1%
8 64
 
5.3%
3 62
 
5.1%
7 52
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1217
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 194
15.9%
0 178
14.6%
6 164
13.5%
- 157
12.9%
5 101
8.3%
4 98
8.1%
1 98
8.1%
8 64
 
5.3%
3 62
 
5.1%
7 52
 
4.3%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing149
Missing (%)100.0%
Memory size1.4 KiB

소재지우편번호
Categorical

Distinct44
Distinct (%)29.5%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
<NA>
45 
158051
13 
158055
 
7
158054
 
6
158052
 
5
Other values (39)
73 

Length

Max length7
Median length6
Mean length5.4228188
Min length4

Unique

Unique24 ?
Unique (%)16.1%

Sample

1st row158073
2nd row158092
3rd row158052
4th row158093
5th row158861

Common Values

ValueCountFrequency (%)
<NA> 45
30.2%
158051 13
 
8.7%
158055 7
 
4.7%
158054 6
 
4.0%
158052 5
 
3.4%
158074 5
 
3.4%
158072 5
 
3.4%
158071 5
 
3.4%
158053 5
 
3.4%
158076 4
 
2.7%
Other values (34) 49
32.9%

Length

2024-04-30T03:59:19.926899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 45
30.2%
158051 13
 
8.7%
158055 7
 
4.7%
158054 6
 
4.0%
158072 5
 
3.4%
158071 5
 
3.4%
158053 5
 
3.4%
158074 5
 
3.4%
158052 5
 
3.4%
158076 4
 
2.7%
Other values (34) 49
32.9%

지번주소
Text

MISSING 

Distinct141
Distinct (%)97.2%
Missing4
Missing (%)2.7%
Memory size1.3 KiB
2024-04-30T03:59:20.161614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length41
Mean length26.910345
Min length18

Characters and Unicode

Total characters3902
Distinct characters150
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

Unique137 ?
Unique (%)94.5%

Sample

1st row서울특별시 양천구 신정동 1031번지 5호
2nd row서울특별시 양천구 신월2동 514번지 2호
3rd row서울특별시 양천구 목2동 530번지
4th row서울특별시 양천구 신월3동 159번지 51호
5th row서울특별시 양천구 신정1동 1022번지 9호
ValueCountFrequency (%)
서울특별시 145
 
17.6%
양천구 145
 
17.6%
목동 30
 
3.6%
1호 27
 
3.3%
목1동 17
 
2.1%
신정동 16
 
1.9%
1층 15
 
1.8%
신월동 12
 
1.5%
7호 11
 
1.3%
6호 10
 
1.2%
Other values (240) 397
48.1%
2024-04-30T03:59:20.538858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
682
 
17.5%
1 239
 
6.1%
동 160
 
4.1%
양 147
 
3.8%
호 147
 
3.8%
서 145
 
3.7%
특 145
 
3.7%
별 145
 
3.7%
시 145
 
3.7%
천 145
 
3.7%
Other values (140) 1802
46.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2306
59.1%
Decimal Number 870
 
22.3%
Space Separator 682
 
17.5%
Dash Punctuation 16
 
0.4%
Other Punctuation 11
 
0.3%
Uppercase Letter 11
 
0.3%
Close Punctuation 2
 
0.1%
Math Symbol 2
 
0.1%
Open Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 160
 
6.9%
양 147
 
6.4%
호 147
 
6.4%
서 145
 
6.3%
특 145
 
6.3%
별 145
 
6.3%
시 145
 
6.3%
천 145
 
6.3%
구 145
 
6.3%
울 145
 
6.3%
Other values (116) 837
36.3%
Decimal Number
ValueCountFrequency (%)
1 239
27.5%
0 107
12.3%
2 100
11.5%
9 75
 
8.6%
7 66
 
7.6%
3 66
 
7.6%
5 66
 
7.6%
4 60
 
6.9%
6 58
 
6.7%
8 33
 
3.8%
Uppercase Letter
ValueCountFrequency (%)
B 2
18.2%
C 2
18.2%
S 2
18.2%
L 1
9.1%
E 1
9.1%
P 1
9.1%
U 1
9.1%
X 1
9.1%
Space Separator
ValueCountFrequency (%)
682
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%
Other Punctuation
ValueCountFrequency (%)
, 11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2306
59.1%
Common 1585
40.6%
Latin 11
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 160
 
6.9%
양 147
 
6.4%
호 147
 
6.4%
서 145
 
6.3%
특 145
 
6.3%
별 145
 
6.3%
시 145
 
6.3%
천 145
 
6.3%
구 145
 
6.3%
울 145
 
6.3%
Other values (116) 837
36.3%
Common
ValueCountFrequency (%)
682
43.0%
1 239
 
15.1%
0 107
 
6.8%
2 100
 
6.3%
9 75
 
4.7%
7 66
 
4.2%
3 66
 
4.2%
5 66
 
4.2%
4 60
 
3.8%
6 58
 
3.7%
Other values (6) 66
 
4.2%
Latin
ValueCountFrequency (%)
B 2
18.2%
C 2
18.2%
S 2
18.2%
L 1
9.1%
E 1
9.1%
P 1
9.1%
U 1
9.1%
X 1
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2306
59.1%
ASCII 1596
40.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
682
42.7%
1 239
 
15.0%
0 107
 
6.7%
2 100
 
6.3%
9 75
 
4.7%
7 66
 
4.1%
3 66
 
4.1%
5 66
 
4.1%
4 60
 
3.8%
6 58
 
3.6%
Other values (14) 77
 
4.8%
Hangul
ValueCountFrequency (%)
동 160
 
6.9%
양 147
 
6.4%
호 147
 
6.4%
서 145
 
6.3%
특 145
 
6.3%
별 145
 
6.3%
시 145
 
6.3%
천 145
 
6.3%
구 145
 
6.3%
울 145
 
6.3%
Other values (116) 837
36.3%

도로명주소
Text

MISSING 

Distinct129
Distinct (%)97.7%
Missing17
Missing (%)11.4%
Memory size1.3 KiB
2024-04-30T03:59:20.767876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length42
Mean length30.257576
Min length21

Characters and Unicode

Total characters3994
Distinct characters152
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

Unique126 ?
Unique (%)95.5%

Sample

1st row서울특별시 양천구 중앙로 268-1 (신정동)
2nd row서울특별시 양천구 오목로 48 (신월동)
3rd row서울특별시 양천구 목동중앙본로 122-124 (목동)
4th row서울특별시 양천구 남부순환로40길 16 (신월동)
5th row서울특별시 양천구 등촌로 102-1 (목동)
ValueCountFrequency (%)
서울특별시 132
16.4%
양천구 132
16.4%
목동 68
 
8.4%
신정동 38
 
4.7%
신월동 26
 
3.2%
1층 26
 
3.2%
목동서로 21
 
2.6%
오목로 21
 
2.6%
목동동로 11
 
1.4%
신월로 7
 
0.9%
Other values (225) 324
40.2%
2024-04-30T03:59:21.127257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
675
 
16.9%
동 223
 
5.6%
목 167
 
4.2%
서 153
 
3.8%
1 148
 
3.7%
양 138
 
3.5%
로 137
 
3.4%
( 133
 
3.3%
) 133
 
3.3%
시 132
 
3.3%
Other values (142) 1955
48.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2329
58.3%
Space Separator 675
 
16.9%
Decimal Number 572
 
14.3%
Open Punctuation 133
 
3.3%
Close Punctuation 133
 
3.3%
Other Punctuation 129
 
3.2%
Uppercase Letter 12
 
0.3%
Dash Punctuation 11
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 223
 
9.6%
목 167
 
7.2%
서 153
 
6.6%
양 138
 
5.9%
로 137
 
5.9%
시 132
 
5.7%
별 132
 
5.7%
천 132
 
5.7%
구 132
 
5.7%
특 132
 
5.7%
Other values (123) 851
36.5%
Decimal Number
ValueCountFrequency (%)
1 148
25.9%
2 89
15.6%
3 65
11.4%
0 63
11.0%
5 50
 
8.7%
7 39
 
6.8%
9 34
 
5.9%
4 32
 
5.6%
8 28
 
4.9%
6 24
 
4.2%
Uppercase Letter
ValueCountFrequency (%)
B 7
58.3%
C 2
 
16.7%
S 2
 
16.7%
A 1
 
8.3%
Space Separator
ValueCountFrequency (%)
675
100.0%
Open Punctuation
ValueCountFrequency (%)
( 133
100.0%
Close Punctuation
ValueCountFrequency (%)
) 133
100.0%
Other Punctuation
ValueCountFrequency (%)
, 129
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2329
58.3%
Common 1653
41.4%
Latin 12
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 223
 
9.6%
목 167
 
7.2%
서 153
 
6.6%
양 138
 
5.9%
로 137
 
5.9%
시 132
 
5.7%
별 132
 
5.7%
천 132
 
5.7%
구 132
 
5.7%
특 132
 
5.7%
Other values (123) 851
36.5%
Common
ValueCountFrequency (%)
675
40.8%
1 148
 
9.0%
( 133
 
8.0%
) 133
 
8.0%
, 129
 
7.8%
2 89
 
5.4%
3 65
 
3.9%
0 63
 
3.8%
5 50
 
3.0%
7 39
 
2.4%
Other values (5) 129
 
7.8%
Latin
ValueCountFrequency (%)
B 7
58.3%
C 2
 
16.7%
S 2
 
16.7%
A 1
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2329
58.3%
ASCII 1665
41.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
675
40.5%
1 148
 
8.9%
( 133
 
8.0%
) 133
 
8.0%
, 129
 
7.7%
2 89
 
5.3%
3 65
 
3.9%
0 63
 
3.8%
5 50
 
3.0%
7 39
 
2.3%
Other values (9) 141
 
8.5%
Hangul
ValueCountFrequency (%)
동 223
 
9.6%
목 167
 
7.2%
서 153
 
6.6%
양 138
 
5.9%
로 137
 
5.9%
시 132
 
5.7%
별 132
 
5.7%
천 132
 
5.7%
구 132
 
5.7%
특 132
 
5.7%
Other values (123) 851
36.5%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct81
Distinct (%)61.4%
Missing17
Missing (%)11.4%
Infinite0
Infinite (%)0.0%
Mean19371.364
Minimum7900
Maximum158839
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-04-30T03:59:21.246222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7900
5-th percentile7919.55
Q17960.75
median7997
Q38038.75
95-th percentile158053.45
Maximum158839
Range150939
Interquartile range (IQR)78

Descriptive statistics

Standard deviation39881.87
Coefficient of variation (CV)2.0588055
Kurtosis8.6514258
Mean19371.364
Median Absolute Deviation (MAD)39.5
Skewness3.2435319
Sum2557020
Variance1.5905636 × 109
MonotonicityNot monotonic
2024-04-30T03:59:21.363465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7997 8
 
5.4%
7983 8
 
5.4%
7946 5
 
3.4%
8093 4
 
2.7%
7993 4
 
2.7%
7938 3
 
2.0%
7998 3
 
2.0%
8007 3
 
2.0%
8004 3
 
2.0%
8064 3
 
2.0%
Other values (71) 88
59.1%
(Missing) 17
 
11.4%
ValueCountFrequency (%)
7900 1
0.7%
7902 1
0.7%
7905 1
0.7%
7911 1
0.7%
7912 1
0.7%
7915 1
0.7%
7919 1
0.7%
7920 2
1.3%
7921 1
0.7%
7925 1
0.7%
ValueCountFrequency (%)
158839 1
0.7%
158093 1
0.7%
158077 1
0.7%
158074 2
1.3%
158072 1
0.7%
158054 1
0.7%
158053 1
0.7%
158051 2
1.3%
8104 2
1.3%
8102 1
0.7%

사업장명
Text

Distinct146
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2024-04-30T03:59:21.597998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length14
Mean length7.409396
Min length2

Characters and Unicode

Total characters1104
Distinct characters212
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

Unique143 ?
Unique (%)96.0%

Sample

1st row샤르망안경콘택트
2nd row뷰안경원
3rd row신이태리안경
4th row안경창고싸군
5th row현대 안경
ValueCountFrequency (%)
목동점 7
 
3.8%
안경 6
 
3.2%
우성안경 2
 
1.1%
안경진정성 2
 
1.1%
목동파리공원점 2
 
1.1%
으뜸50안경 2
 
1.1%
안경콘택트 2
 
1.1%
오목교점 2
 
1.1%
끼안경원 2
 
1.1%
안경원 2
 
1.1%
Other values (155) 156
84.3%
2024-04-30T03:59:21.936165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
안 129
 
11.7%
경 127
 
11.5%
원 46
 
4.2%
점 40
 
3.6%
36
 
3.3%
이 33
 
3.0%
트 30
 
2.7%
아 26
 
2.4%
스 26
 
2.4%
목 26
 
2.4%
Other values (202) 585
53.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1003
90.9%
Space Separator 36
 
3.3%
Decimal Number 26
 
2.4%
Lowercase Letter 14
 
1.3%
Open Punctuation 8
 
0.7%
Close Punctuation 8
 
0.7%
Uppercase Letter 8
 
0.7%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
안 129
 
12.9%
경 127
 
12.7%
원 46
 
4.6%
점 40
 
4.0%
이 33
 
3.3%
트 30
 
3.0%
아 26
 
2.6%
스 26
 
2.6%
목 26
 
2.6%
동 26
 
2.6%
Other values (175) 494
49.3%
Lowercase Letter
ValueCountFrequency (%)
i 3
21.4%
s 2
14.3%
n 2
14.3%
e 1
 
7.1%
v 1
 
7.1%
m 1
 
7.1%
o 1
 
7.1%
a 1
 
7.1%
t 1
 
7.1%
r 1
 
7.1%
Uppercase Letter
ValueCountFrequency (%)
E 2
25.0%
M 1
12.5%
S 1
12.5%
U 1
12.5%
O 1
12.5%
L 1
12.5%
A 1
12.5%
Decimal Number
ValueCountFrequency (%)
0 11
42.3%
1 8
30.8%
5 3
 
11.5%
4 2
 
7.7%
2 1
 
3.8%
7 1
 
3.8%
Space Separator
ValueCountFrequency (%)
36
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1003
90.9%
Common 79
 
7.2%
Latin 22
 
2.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
안 129
 
12.9%
경 127
 
12.7%
원 46
 
4.6%
점 40
 
4.0%
이 33
 
3.3%
트 30
 
3.0%
아 26
 
2.6%
스 26
 
2.6%
목 26
 
2.6%
동 26
 
2.6%
Other values (175) 494
49.3%
Latin
ValueCountFrequency (%)
i 3
13.6%
s 2
 
9.1%
n 2
 
9.1%
E 2
 
9.1%
M 1
 
4.5%
S 1
 
4.5%
U 1
 
4.5%
O 1
 
4.5%
L 1
 
4.5%
A 1
 
4.5%
Other values (7) 7
31.8%
Common
ValueCountFrequency (%)
36
45.6%
0 11
 
13.9%
1 8
 
10.1%
( 8
 
10.1%
) 8
 
10.1%
5 3
 
3.8%
4 2
 
2.5%
2 1
 
1.3%
7 1
 
1.3%
& 1
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1003
90.9%
ASCII 101
 
9.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
안 129
 
12.9%
경 127
 
12.7%
원 46
 
4.6%
점 40
 
4.0%
이 33
 
3.3%
트 30
 
3.0%
아 26
 
2.6%
스 26
 
2.6%
목 26
 
2.6%
동 26
 
2.6%
Other values (175) 494
49.3%
ASCII
ValueCountFrequency (%)
36
35.6%
0 11
 
10.9%
1 8
 
7.9%
( 8
 
7.9%
) 8
 
7.9%
5 3
 
3.0%
i 3
 
3.0%
s 2
 
2.0%
n 2
 
2.0%
4 2
 
2.0%
Other values (17) 18
17.8%

최종수정일자
Date

UNIQUE 

Distinct149
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
Minimum2009-03-05 16:12:58
Maximum2024-03-08 16:56:13
2024-04-30T03:59:22.055843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T03:59:22.174086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
I
106 
U
43 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 106
71.1%
U 43
28.9%

Length

2024-04-30T03:59:22.272080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:59:22.535390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 106
71.1%
u 43
28.9%

데이터갱신일자
Date

Distinct56
Distinct (%)37.6%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-02 23:00:00
2024-04-30T03:59:22.623089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T03:59:22.744653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing149
Missing (%)100.0%
Memory size1.4 KiB

좌표정보(X)
Real number (ℝ)

Distinct121
Distinct (%)81.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean187735.84
Minimum184619.81
Maximum189878.41
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-04-30T03:59:22.883619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum184619.81
5-th percentile184990.33
Q1187021.15
median188039.54
Q3188745.28
95-th percentile189251.07
Maximum189878.41
Range5258.5977
Interquartile range (IQR)1724.1356

Descriptive statistics

Standard deviation1342.5877
Coefficient of variation (CV)0.0071514726
Kurtosis-0.2069783
Mean187735.84
Median Absolute Deviation (MAD)753.60821
Skewness-0.93223218
Sum27972640
Variance1802541.8
MonotonicityNot monotonic
2024-04-30T03:59:23.000559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
188871.512837973 5
 
3.4%
186904.968256826 3
 
2.0%
188977.171050288 3
 
2.0%
187523.574256064 3
 
2.0%
188431.286329151 3
 
2.0%
188884.075622342 3
 
2.0%
188633.716610661 2
 
1.3%
188729.190478822 2
 
1.3%
187954.189632117 2
 
1.3%
185675.704067467 2
 
1.3%
Other values (111) 121
81.2%
ValueCountFrequency (%)
184619.809614881 1
0.7%
184698.083646784 1
0.7%
184702.773862475 1
0.7%
184707.882459666 1
0.7%
184796.999053109 1
0.7%
184799.304508767 1
0.7%
184825.763727278 1
0.7%
184971.290324023 1
0.7%
185018.889951411 1
0.7%
185111.042883853 1
0.7%
ValueCountFrequency (%)
189878.40729119 1
0.7%
189709.803505321 2
1.3%
189371.998478153 1
0.7%
189311.02246611 2
1.3%
189280.689807363 1
0.7%
189251.065 2
1.3%
189214.609593464 1
0.7%
189197.506088261 1
0.7%
189151.208015925 1
0.7%
189082.787708443 1
0.7%

좌표정보(Y)
Real number (ℝ)

Distinct121
Distinct (%)81.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean447336.18
Minimum445124.13
Maximum449821.72
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-04-30T03:59:23.109977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum445124.13
5-th percentile445926.54
Q1446609.18
median447104.6
Q3448194.56
95-th percentile449515.48
Maximum449821.72
Range4697.5881
Interquartile range (IQR)1585.3804

Descriptive statistics

Standard deviation1086.929
Coefficient of variation (CV)0.0024297811
Kurtosis-0.29969248
Mean447336.18
Median Absolute Deviation (MAD)695.9669
Skewness0.46206855
Sum66653090
Variance1181414.6
MonotonicityNot monotonic
2024-04-30T03:59:23.243134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
447348.13213342 5
 
3.4%
446945.980222225 3
 
2.0%
447466.355031447 3
 
2.0%
446408.633352149 3
 
2.0%
446909.365903882 3
 
2.0%
447186.888604306 3
 
2.0%
448384.092557002 2
 
1.3%
447572.610039376 2
 
1.3%
445124.131588947 2
 
1.3%
446552.380998544 2
 
1.3%
Other values (111) 121
81.2%
ValueCountFrequency (%)
445124.131588947 2
1.3%
445155.081213627 1
0.7%
445235.902836259 1
0.7%
445561.075577775 1
0.7%
445601.995865959 1
0.7%
445887.457671934 1
0.7%
445920.374891605 1
0.7%
445935.780018413 1
0.7%
445962.272968839 1
0.7%
446018.924908482 1
0.7%
ValueCountFrequency (%)
449821.719712552 1
0.7%
449683.219205227 1
0.7%
449672.997017429 1
0.7%
449668.428997479 2
1.3%
449624.068138672 1
0.7%
449596.304559134 1
0.7%
449584.740750439 1
0.7%
449411.580893629 1
0.7%
449409.143621821 1
0.7%
449388.09592117 1
0.7%

시력표수
Categorical

Distinct5
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
0
58 
1
57 
<NA>
26 
2
 
5
3
 
3

Length

Max length4
Median length1
Mean length1.5234899
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 58
38.9%
1 57
38.3%
<NA> 26
17.4%
2 5
 
3.4%
3 3
 
2.0%

Length

2024-04-30T03:59:23.367812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:59:23.470458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 58
38.9%
1 57
38.3%
na 26
17.4%
2 5
 
3.4%
3 3
 
2.0%

표본렌즈수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)5.0%
Missing28
Missing (%)18.8%
Infinite0
Infinite (%)0.0%
Mean0.66942149
Minimum0
Maximum10
Zeros61
Zeros (%)40.9%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-04-30T03:59:23.565526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum10
Range10
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.1502784
Coefficient of variation (CV)1.7183172
Kurtosis37.149994
Mean0.66942149
Median Absolute Deviation (MAD)0
Skewness5.121045
Sum81
Variance1.3231405
MonotonicityNot monotonic
2024-04-30T03:59:23.652386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 61
40.9%
1 53
35.6%
3 3
 
2.0%
2 2
 
1.3%
10 1
 
0.7%
5 1
 
0.7%
(Missing) 28
18.8%
ValueCountFrequency (%)
0 61
40.9%
1 53
35.6%
2 2
 
1.3%
3 3
 
2.0%
5 1
 
0.7%
10 1
 
0.7%
ValueCountFrequency (%)
10 1
 
0.7%
5 1
 
0.7%
3 3
 
2.0%
2 2
 
1.3%
1 53
35.6%
0 61
40.9%

측정의자수
Categorical

Distinct5
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
0
62 
1
52 
<NA>
30 
3
 
3
2
 
2

Length

Max length4
Median length1
Mean length1.6040268
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 62
41.6%
1 52
34.9%
<NA> 30
20.1%
3 3
 
2.0%
2 2
 
1.3%

Length

2024-04-30T03:59:23.747576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:59:23.846680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 62
41.6%
1 52
34.9%
na 30
20.1%
3 3
 
2.0%
2 2
 
1.3%

동공거리측정기수
Categorical

Distinct6
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
1
60 
0
58 
<NA>
26 
3
 
3
2
 
1

Length

Max length4
Median length1
Mean length1.5234899
Min length1

Unique

Unique2 ?
Unique (%)1.3%

Sample

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

Common Values

ValueCountFrequency (%)
1 60
40.3%
0 58
38.9%
<NA> 26
17.4%
3 3
 
2.0%
2 1
 
0.7%
4 1
 
0.7%

Length

2024-04-30T03:59:23.952600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:59:24.050347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 60
40.3%
0 58
38.9%
na 26
17.4%
3 3
 
2.0%
2 1
 
0.7%
4 1
 
0.7%

정점굴절계기수
Categorical

Distinct5
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
0
58 
1
51 
<NA>
26 
2
11 
3
 
3

Length

Max length4
Median length1
Mean length1.5234899
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 58
38.9%
1 51
34.2%
<NA> 26
17.4%
2 11
 
7.4%
3 3
 
2.0%

Length

2024-04-30T03:59:24.155122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:59:24.253064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 58
38.9%
1 51
34.2%
na 26
17.4%
2 11
 
7.4%
3 3
 
2.0%

조제용연마기수
Categorical

Distinct4
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
0
61 
1
57 
<NA>
30 
2
 
1

Length

Max length4
Median length1
Mean length1.6040268
Min length1

Unique

Unique1 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
0 61
40.9%
1 57
38.3%
<NA> 30
20.1%
2 1
 
0.7%

Length

2024-04-30T03:59:24.371291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:59:24.479346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 61
40.9%
1 57
38.3%
na 30
20.1%
2 1
 
0.7%

렌즈절단기수
Categorical

Distinct4
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
0
60 
1
59 
<NA>
28 
2
 
2

Length

Max length4
Median length1
Mean length1.5637584
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 60
40.3%
1 59
39.6%
<NA> 28
18.8%
2 2
 
1.3%

Length

2024-04-30T03:59:24.589749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:59:24.696991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 60
40.3%
1 59
39.6%
na 28
18.8%
2 2
 
1.3%

가열기수
Categorical

Distinct5
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
0
61 
1
44 
<NA>
29 
2
12 
3
 
3

Length

Max length4
Median length1
Mean length1.5838926
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 61
40.9%
1 44
29.5%
<NA> 29
19.5%
2 12
 
8.1%
3 3
 
2.0%

Length

2024-04-30T03:59:24.798867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:59:24.904659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 61
40.9%
1 44
29.5%
na 29
19.5%
2 12
 
8.1%
3 3
 
2.0%

안경세척기수
Categorical

Distinct5
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
0
61 
1
42 
<NA>
29 
2
11 
3
 
6

Length

Max length4
Median length1
Mean length1.5838926
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 61
40.9%
1 42
28.2%
<NA> 29
19.5%
2 11
 
7.4%
3 6
 
4.0%

Length

2024-04-30T03:59:25.010820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:59:25.100078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 61
40.9%
1 42
28.2%
na 29
19.5%
2 11
 
7.4%
3 6
 
4.0%

총면적
Real number (ℝ)

MISSING 

Distinct98
Distinct (%)90.7%
Missing41
Missing (%)27.5%
Infinite0
Infinite (%)0.0%
Mean66.373241
Minimum13.9
Maximum354.37
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-04-30T03:59:25.202379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum13.9
5-th percentile22.22
Q136.175
median51.99
Q378.625
95-th percentile154.934
Maximum354.37
Range340.47
Interquartile range (IQR)42.45

Descriptive statistics

Standard deviation53.795
Coefficient of variation (CV)0.81049229
Kurtosis12.52095
Mean66.373241
Median Absolute Deviation (MAD)18.55
Skewness3.0797181
Sum7168.31
Variance2893.902
MonotonicityNot monotonic
2024-04-30T03:59:25.323148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
43.0 3
 
2.0%
49.5 2
 
1.3%
28.2 2
 
1.3%
26.2 2
 
1.3%
24.8 2
 
1.3%
49.0 2
 
1.3%
17.1 2
 
1.3%
23.0 2
 
1.3%
194.4 2
 
1.3%
78.7 1
 
0.7%
Other values (88) 88
59.1%
(Missing) 41
27.5%
ValueCountFrequency (%)
13.9 1
0.7%
17.1 2
1.3%
17.2 1
0.7%
20.8 1
0.7%
21.8 1
0.7%
23.0 2
1.3%
24.77 1
0.7%
24.8 2
1.3%
26.2 2
1.3%
26.4 1
0.7%
ValueCountFrequency (%)
354.37 1
0.7%
335.54 1
0.7%
194.4 2
1.3%
193.1 1
0.7%
162.76 1
0.7%
140.4 1
0.7%
139.0 1
0.7%
137.0 1
0.7%
127.82 1
0.7%
121.58 1
0.7%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)시력표수표본렌즈수측정의자수동공거리측정기수정점굴절계기수조제용연마기수렌즈절단기수가열기수안경세척기수총면적
03140000PHMB21984314003308220000119841215<NA>1영업/정상13영업중<NA><NA><NA><NA>2645-3848<NA>158073서울특별시 양천구 신정동 1031번지 5호서울특별시 양천구 중앙로 268-1 (신정동)8082샤르망안경콘택트2011-12-28 16:30:59I2018-08-31 23:59:59.0<NA>186950.021616446466.34879300000000087.5
13140000PHMB21985314003308220000119850409<NA>1영업/정상13영업중<NA><NA><NA><NA>2065-1184<NA>158092서울특별시 양천구 신월2동 514번지 2호서울특별시 양천구 오목로 48 (신월동)8029뷰안경원2016-04-05 17:10:47I2018-08-31 23:59:59.0<NA>186046.676672446653.03465200000000037.8
23140000PHMB21986314003308220000119860425<NA>1영업/정상13영업중<NA><NA><NA><NA>2647-9766<NA>158052서울특별시 양천구 목2동 530번지서울특별시 양천구 목동중앙본로 122-124 (목동)7972신이태리안경2011-12-28 16:36:40I2018-08-31 23:59:59.0<NA>188592.824908449361.85089600000000017.1
33140000PHMB21986314003308220000219860617<NA>1영업/정상13영업중<NA><NA><NA><NA>2693-7204<NA>158093서울특별시 양천구 신월3동 159번지 51호서울특별시 양천구 남부순환로40길 16 (신월동)7911안경창고싸군2015-10-07 13:09:55I2018-08-31 23:59:59.0<NA>184707.88246448082.33993900000000013.9
43140000PHMB21987314003308220000119870110<NA>4취소/말소/만료/정지/중지24직권폐업20090112<NA><NA><NA>2645-1832<NA>158861서울특별시 양천구 신정1동 1022번지 9호<NA><NA>현대 안경2011-02-11 10:28:52I2018-08-31 23:59:59.0<NA>187523.574256446408.63335200000000023.0
53140000PHMB21987314003308220000219870117<NA>1영업/정상13영업중<NA><NA><NA><NA>2644-8269<NA>158054서울특별시 양천구 목4동 722번지 1호서울특별시 양천구 등촌로 102-1 (목동)7958일공공일안경콘택트(목4동점)2011-12-28 16:43:33I2018-08-31 23:59:59.0<NA>187909.577235448552.88611500000000053.6
63140000PHMB21987314003308220000319870801<NA>3폐업3폐업20090828<NA><NA><NA><NA><NA>158070서울특별시 양천구 신정동 1022번지 9호 111호<NA><NA>아이큐안경2009-08-28 14:25:36I2018-08-31 23:59:59.0<NA>187523.574256446408.633352000000000<NA>
73140000PHMB2198731400330822000041987-01-10<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2653-5154<NA><NA>서울특별시 양천구 목동 404-156 대경프라자 105호서울특별시 양천구 신목로 102, 대경프라자 1층 105호 (목동)8007현대안경2023-11-14 18:33:44U2022-10-31 23:06:00.0<NA>188954.524397446824.338405<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83140000PHMB21988314003308220000119880428<NA>1영업/정상13영업중<NA><NA><NA><NA>2698-3306<NA>158097서울특별시 양천구 신월7동 932번지 11호서울특별시 양천구 지양로 81 (신월동)80371001안경원(신월7동점)2011-12-28 16:46:47I2018-08-31 23:59:59.0<NA>185152.025446712.3100000000020.8
93140000PHMB21990314003308220000119900421<NA>1영업/정상13영업중<NA><NA><NA><NA>2646-9845<NA>158072서울특별시 양천구 신정2동 282번지 10호서울특별시 양천구 목동동로8길 29 (신정동)8017일공공일안경콘택트(신정2동점)2011-12-28 16:48:46I2018-08-31 23:59:59.0<NA>188596.339869446018.92490800000000055.1
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)시력표수표본렌즈수측정의자수동공거리측정기수정점굴절계기수조제용연마기수렌즈절단기수가열기수안경세척기수총면적
1393140000PHMB22022314003308220000120220308<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2654-1003<NA><NA>서울특별시 양천구 목동 406-183서울특별시 양천구 오목로 287, 1층 (목동)7993안경백서 목동점2022-03-10 17:38:58I2022-03-12 00:22:36.0<NA>188389.335315447053.28759310011000049.5
1403140000PHMB22022314003308220000220220419<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 양천구 신월동 205-44서울특별시 양천구 남부순환로 434, 1층 (신월동)7915룩옵티컬 서서울호수공원점2022-04-20 10:03:38I2021-12-03 22:02:00.0<NA>185111.042884447449.272851<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1413140000PHMB22022314003308220000320220726<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 양천구 목동 916 현대하이페리온서울특별시 양천구 목동동로 257, 1층 (목동, 현대하이페리온)7998레지오아스2022-08-03 09:34:39U2021-12-08 00:05:00.0<NA>188884.075622447186.888604<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
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