Overview

Dataset statistics

Number of variables35
Number of observations141
Missing cells1154
Missing cells (%)23.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory41.9 KiB
Average record size in memory303.9 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
Author구로구
URLhttps://data.seoul.go.kr/dataList/OA-16398/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has 141 (100.0%) missing valuesMissing
폐업일자 has 82 (58.2%) missing valuesMissing
휴업시작일자 has 141 (100.0%) missing valuesMissing
휴업종료일자 has 141 (100.0%) missing valuesMissing
재개업일자 has 141 (100.0%) missing valuesMissing
전화번호 has 10 (7.1%) missing valuesMissing
소재지면적 has 141 (100.0%) missing valuesMissing
소재지우편번호 has 117 (83.0%) missing valuesMissing
도로명주소 has 13 (9.2%) missing valuesMissing
도로명우편번호 has 21 (14.9%) missing valuesMissing
업태구분명 has 141 (100.0%) missing valuesMissing
좌표정보(X) has 12 (8.5%) missing valuesMissing
좌표정보(Y) has 12 (8.5%) missing valuesMissing
총면적 has 40 (28.4%) missing valuesMissing
관리번호 has unique valuesUnique
최종수정일자 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
총면적 has 23 (16.3%) zerosZeros

Reproduction

Analysis started2024-05-11 01:21:42.797589
Analysis finished2024-05-11 01:21:44.214729
Duration1.42 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
3160000
141 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3160000
2nd row3160000
3rd row3160000
4th row3160000
5th row3160000

Common Values

ValueCountFrequency (%)
3160000 141
100.0%

Length

2024-05-11T01:21:44.466556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:21:44.809677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3160000 141
100.0%

관리번호
Text

UNIQUE 

Distinct141
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-05-11T01:21:45.479828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters3525
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

Unique141 ?
Unique (%)100.0%

Sample

1st rowPHMB219903160034082200001
2nd rowPHMB219913160034082200001
3rd rowPHMB219913160034082200002
4th rowPHMB219913160034082200003
5th rowPHMB219913160034082200004
ValueCountFrequency (%)
phmb219903160034082200001 1
 
0.7%
phmb220113160034082200005 1
 
0.7%
phmb220113160034082200007 1
 
0.7%
phmb220123160034082200001 1
 
0.7%
phmb220123160034082200002 1
 
0.7%
phmb220123160034082200003 1
 
0.7%
phmb220123160034082200004 1
 
0.7%
phmb220123160034082200005 1
 
0.7%
phmb220113160034082200006 1
 
0.7%
phmb220083160034082200008 1
 
0.7%
Other values (131) 131
92.9%
2024-05-11T01:21:46.647543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1171
33.2%
2 601
17.0%
3 313
 
8.9%
1 274
 
7.8%
4 171
 
4.9%
6 165
 
4.7%
8 155
 
4.4%
P 141
 
4.0%
H 141
 
4.0%
M 141
 
4.0%
Other values (4) 252
 
7.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2961
84.0%
Uppercase Letter 564
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1171
39.5%
2 601
20.3%
3 313
 
10.6%
1 274
 
9.3%
4 171
 
5.8%
6 165
 
5.6%
8 155
 
5.2%
9 61
 
2.1%
5 30
 
1.0%
7 20
 
0.7%
Uppercase Letter
ValueCountFrequency (%)
P 141
25.0%
H 141
25.0%
M 141
25.0%
B 141
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2961
84.0%
Latin 564
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1171
39.5%
2 601
20.3%
3 313
 
10.6%
1 274
 
9.3%
4 171
 
5.8%
6 165
 
5.6%
8 155
 
5.2%
9 61
 
2.1%
5 30
 
1.0%
7 20
 
0.7%
Latin
ValueCountFrequency (%)
P 141
25.0%
H 141
25.0%
M 141
25.0%
B 141
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3525
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1171
33.2%
2 601
17.0%
3 313
 
8.9%
1 274
 
7.8%
4 171
 
4.9%
6 165
 
4.7%
8 155
 
4.4%
P 141
 
4.0%
H 141
 
4.0%
M 141
 
4.0%
Other values (4) 252
 
7.1%

인허가일자
Date

Distinct135
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
Minimum1990-08-21 00:00:00
Maximum2024-04-11 00:00:00
2024-05-11T01:21:47.042246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T01:21:47.570727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing141
Missing (%)100.0%
Memory size1.4 KiB

영업상태코드
Categorical

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
1
82 
3
59 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 82
58.2%
3 59
41.8%

Length

2024-05-11T01:21:47.947194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:21:48.420182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 82
58.2%
3 59
41.8%

영업상태명
Categorical

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
영업/정상
82 
폐업
59 

Length

Max length5
Median length5
Mean length3.7446809
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 82
58.2%
폐업 59
41.8%

Length

2024-05-11T01:21:48.803092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:21:49.153087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 82
58.2%
폐업 59
41.8%

상세영업상태코드
Categorical

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
13
82 
3
59 

Length

Max length2
Median length2
Mean length1.5815603
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 82
58.2%
3 59
41.8%

Length

2024-05-11T01:21:49.507746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:21:49.757036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 82
58.2%
3 59
41.8%

상세영업상태명
Categorical

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
영업중
82 
폐업
59 

Length

Max length3
Median length3
Mean length2.5815603
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 82
58.2%
폐업 59
41.8%

Length

2024-05-11T01:21:50.124118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:21:50.416435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 82
58.2%
폐업 59
41.8%

폐업일자
Date

MISSING 

Distinct57
Distinct (%)96.6%
Missing82
Missing (%)58.2%
Memory size1.2 KiB
Minimum2008-11-05 00:00:00
Maximum2024-04-30 00:00:00
2024-05-11T01:21:50.768742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T01:21:51.191805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing141
Missing (%)100.0%
Memory size1.4 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing141
Missing (%)100.0%
Memory size1.4 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing141
Missing (%)100.0%
Memory size1.4 KiB

전화번호
Text

MISSING 

Distinct124
Distinct (%)94.7%
Missing10
Missing (%)7.1%
Memory size1.2 KiB
2024-05-11T01:21:51.904319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.442748
Min length8

Characters and Unicode

Total characters1499
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

Unique117 ?
Unique (%)89.3%

Sample

1st row02-2688-4442
2nd row02-862-2444
3rd row02-2681-1001
4th row02-2613-8808
5th row02-854-2160
ValueCountFrequency (%)
02-857-1654 2
 
1.5%
02-2613-1848 2
 
1.5%
02-2111-1013 2
 
1.5%
02-855-1239 2
 
1.5%
02-2060-1014 2
 
1.5%
02-2686-2286 2
 
1.5%
02-858-9938 2
 
1.5%
02-2615-1888 1
 
0.8%
02-2688-4442 1
 
0.8%
02-856-9931 1
 
0.8%
Other values (114) 114
87.0%
2024-05-11T01:21:53.128730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 258
17.2%
- 250
16.7%
0 236
15.7%
8 141
9.4%
6 138
9.2%
1 132
8.8%
5 85
 
5.7%
3 72
 
4.8%
4 68
 
4.5%
9 64
 
4.3%
Other values (2) 55
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1248
83.3%
Dash Punctuation 250
 
16.7%
Close Punctuation 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 258
20.7%
0 236
18.9%
8 141
11.3%
6 138
11.1%
1 132
10.6%
5 85
 
6.8%
3 72
 
5.8%
4 68
 
5.4%
9 64
 
5.1%
7 54
 
4.3%
Dash Punctuation
ValueCountFrequency (%)
- 250
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1499
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 258
17.2%
- 250
16.7%
0 236
15.7%
8 141
9.4%
6 138
9.2%
1 132
8.8%
5 85
 
5.7%
3 72
 
4.8%
4 68
 
4.5%
9 64
 
4.3%
Other values (2) 55
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1499
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 258
17.2%
- 250
16.7%
0 236
15.7%
8 141
9.4%
6 138
9.2%
1 132
8.8%
5 85
 
5.7%
3 72
 
4.8%
4 68
 
4.5%
9 64
 
4.3%
Other values (2) 55
 
3.7%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing141
Missing (%)100.0%
Memory size1.4 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct22
Distinct (%)91.7%
Missing117
Missing (%)83.0%
Infinite0
Infinite (%)0.0%
Mean176766.62
Minimum152050
Maximum445360
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-05-11T01:21:53.519625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum152050
5-th percentile152050.3
Q1152091.75
median152820
Q3152846.5
95-th percentile397638.7
Maximum445360
Range293310
Interquartile range (IQR)754.75

Descriptive statistics

Standard deviation82031.631
Coefficient of variation (CV)0.46406742
Kurtosis9.12728
Mean176766.62
Median Absolute Deviation (MAD)67.5
Skewness3.2202337
Sum4242399
Variance6.7291885 × 109
MonotonicityNot monotonic
2024-05-11T01:21:53.958043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
152091 2
 
1.4%
152050 2
 
1.4%
152826 1
 
0.7%
152800 1
 
0.7%
152848 1
 
0.7%
152713 1
 
0.7%
152802 1
 
0.7%
152888 1
 
0.7%
152838 1
 
0.7%
152053 1
 
0.7%
Other values (12) 12
 
8.5%
(Missing) 117
83.0%
ValueCountFrequency (%)
152050 2
1.4%
152052 1
0.7%
152053 1
0.7%
152091 2
1.4%
152092 1
0.7%
152099 1
0.7%
152713 1
0.7%
152800 1
0.7%
152802 1
0.7%
152816 1
0.7%
ValueCountFrequency (%)
445360 1
0.7%
440830 1
0.7%
152888 1
0.7%
152887 1
0.7%
152878 1
0.7%
152848 1
0.7%
152846 1
0.7%
152838 1
0.7%
152834 1
0.7%
152831 1
0.7%

지번주소
Text

Distinct133
Distinct (%)95.0%
Missing1
Missing (%)0.7%
Memory size1.2 KiB
2024-05-11T01:21:54.763417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length37
Mean length26.307143
Min length18

Characters and Unicode

Total characters3683
Distinct characters166
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

Unique128 ?
Unique (%)91.4%

Sample

1st row서울특별시 구로구 고척동 50번지 71호 강산메디칼프라자 101호
2nd row서울특별시 구로구 구로동 807번지 12호
3rd row서울특별시 구로구 개봉동 353번지 14호 성원빌딩
4th row서울특별시 구로구 개봉동 154번지 51호
5th row서울특별시 구로구 구로동 729번지 1호
ValueCountFrequency (%)
서울특별시 138
18.2%
구로구 138
18.2%
구로동 60
 
7.9%
개봉동 18
 
2.4%
고척동 16
 
2.1%
신도림동 12
 
1.6%
1층 9
 
1.2%
오류동 9
 
1.2%
1호 8
 
1.1%
신도림테크노마트 8
 
1.1%
Other values (251) 341
45.0%
2024-05-11T01:21:56.199172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
619
16.8%
구 348
 
9.4%
로 209
 
5.7%
1 173
 
4.7%
동 148
 
4.0%
시 142
 
3.9%
울 139
 
3.8%
서 138
 
3.7%
별 138
 
3.7%
특 138
 
3.7%
Other values (156) 1491
40.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2284
62.0%
Decimal Number 717
 
19.5%
Space Separator 619
 
16.8%
Dash Punctuation 29
 
0.8%
Uppercase Letter 22
 
0.6%
Other Punctuation 9
 
0.2%
Math Symbol 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 348
15.2%
로 209
 
9.2%
동 148
 
6.5%
시 142
 
6.2%
울 139
 
6.1%
서 138
 
6.0%
별 138
 
6.0%
특 138
 
6.0%
지 113
 
4.9%
호 112
 
4.9%
Other values (126) 659
28.9%
Uppercase Letter
ValueCountFrequency (%)
K 3
13.6%
S 3
13.6%
B 3
13.6%
A 2
9.1%
C 2
9.1%
N 2
9.1%
M 1
 
4.5%
E 1
 
4.5%
R 1
 
4.5%
U 1
 
4.5%
Other values (3) 3
13.6%
Decimal Number
ValueCountFrequency (%)
1 173
24.1%
2 98
13.7%
3 96
13.4%
7 65
 
9.1%
5 62
 
8.6%
4 60
 
8.4%
0 53
 
7.4%
6 47
 
6.6%
9 32
 
4.5%
8 31
 
4.3%
Other Punctuation
ValueCountFrequency (%)
, 8
88.9%
. 1
 
11.1%
Space Separator
ValueCountFrequency (%)
619
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 29
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2284
62.0%
Common 1377
37.4%
Latin 22
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 348
15.2%
로 209
 
9.2%
동 148
 
6.5%
시 142
 
6.2%
울 139
 
6.1%
서 138
 
6.0%
별 138
 
6.0%
특 138
 
6.0%
지 113
 
4.9%
호 112
 
4.9%
Other values (126) 659
28.9%
Common
ValueCountFrequency (%)
619
45.0%
1 173
 
12.6%
2 98
 
7.1%
3 96
 
7.0%
7 65
 
4.7%
5 62
 
4.5%
4 60
 
4.4%
0 53
 
3.8%
6 47
 
3.4%
9 32
 
2.3%
Other values (7) 72
 
5.2%
Latin
ValueCountFrequency (%)
K 3
13.6%
S 3
13.6%
B 3
13.6%
A 2
9.1%
C 2
9.1%
N 2
9.1%
M 1
 
4.5%
E 1
 
4.5%
R 1
 
4.5%
U 1
 
4.5%
Other values (3) 3
13.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2284
62.0%
ASCII 1399
38.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
619
44.2%
1 173
 
12.4%
2 98
 
7.0%
3 96
 
6.9%
7 65
 
4.6%
5 62
 
4.4%
4 60
 
4.3%
0 53
 
3.8%
6 47
 
3.4%
9 32
 
2.3%
Other values (20) 94
 
6.7%
Hangul
ValueCountFrequency (%)
구 348
15.2%
로 209
 
9.2%
동 148
 
6.5%
시 142
 
6.2%
울 139
 
6.1%
서 138
 
6.0%
별 138
 
6.0%
특 138
 
6.0%
지 113
 
4.9%
호 112
 
4.9%
Other values (126) 659
28.9%

도로명주소
Text

MISSING 

Distinct125
Distinct (%)97.7%
Missing13
Missing (%)9.2%
Memory size1.2 KiB
2024-05-11T01:21:57.089915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length40
Mean length31.921875
Min length22

Characters and Unicode

Total characters4086
Distinct characters172
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

Unique122 ?
Unique (%)95.3%

Sample

1st row서울특별시 구로구 중앙로 60, 강산메디칼프라자 101호 (고척동)
2nd row서울특별시 구로구 구로동로8길 1 (구로동)
3rd row서울특별시 구로구 경인로 324, 성원빌딩 (개봉동)
4th row서울특별시 구로구 경인로35길 20 (개봉동)
5th row서울특별시 구로구 구로동로 133 (구로동)
ValueCountFrequency (%)
서울특별시 127
 
15.9%
구로구 127
 
15.9%
구로동 60
 
7.5%
1층 29
 
3.6%
개봉동 22
 
2.8%
경인로 22
 
2.8%
고척동 16
 
2.0%
신도림동 11
 
1.4%
새말로 10
 
1.3%
오류동 9
 
1.1%
Other values (239) 365
45.7%
2024-05-11T01:21:58.587402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
672
 
16.4%
구 343
 
8.4%
로 341
 
8.3%
1 151
 
3.7%
동 149
 
3.6%
시 135
 
3.3%
) 128
 
3.1%
( 128
 
3.1%
서 128
 
3.1%
울 128
 
3.1%
Other values (162) 1783
43.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2404
58.8%
Space Separator 672
 
16.4%
Decimal Number 605
 
14.8%
Close Punctuation 128
 
3.1%
Open Punctuation 128
 
3.1%
Other Punctuation 102
 
2.5%
Uppercase Letter 29
 
0.7%
Dash Punctuation 18
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 343
14.3%
로 341
14.2%
동 149
 
6.2%
시 135
 
5.6%
서 128
 
5.3%
울 128
 
5.3%
별 127
 
5.3%
특 127
 
5.3%
길 51
 
2.1%
층 45
 
1.9%
Other values (134) 830
34.5%
Uppercase Letter
ValueCountFrequency (%)
B 8
27.6%
S 5
17.2%
K 3
 
10.3%
A 2
 
6.9%
N 2
 
6.9%
C 2
 
6.9%
G 1
 
3.4%
Q 1
 
3.4%
U 1
 
3.4%
R 1
 
3.4%
Other values (3) 3
 
10.3%
Decimal Number
ValueCountFrequency (%)
1 151
25.0%
2 90
14.9%
3 80
13.2%
0 52
 
8.6%
6 46
 
7.6%
4 46
 
7.6%
5 42
 
6.9%
7 42
 
6.9%
9 35
 
5.8%
8 21
 
3.5%
Space Separator
ValueCountFrequency (%)
672
100.0%
Close Punctuation
ValueCountFrequency (%)
) 128
100.0%
Open Punctuation
ValueCountFrequency (%)
( 128
100.0%
Other Punctuation
ValueCountFrequency (%)
, 102
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2404
58.8%
Common 1653
40.5%
Latin 29
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 343
14.3%
로 341
14.2%
동 149
 
6.2%
시 135
 
5.6%
서 128
 
5.3%
울 128
 
5.3%
별 127
 
5.3%
특 127
 
5.3%
길 51
 
2.1%
층 45
 
1.9%
Other values (134) 830
34.5%
Common
ValueCountFrequency (%)
672
40.7%
1 151
 
9.1%
) 128
 
7.7%
( 128
 
7.7%
, 102
 
6.2%
2 90
 
5.4%
3 80
 
4.8%
0 52
 
3.1%
6 46
 
2.8%
4 46
 
2.8%
Other values (5) 158
 
9.6%
Latin
ValueCountFrequency (%)
B 8
27.6%
S 5
17.2%
K 3
 
10.3%
A 2
 
6.9%
N 2
 
6.9%
C 2
 
6.9%
G 1
 
3.4%
Q 1
 
3.4%
U 1
 
3.4%
R 1
 
3.4%
Other values (3) 3
 
10.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2404
58.8%
ASCII 1682
41.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
672
40.0%
1 151
 
9.0%
) 128
 
7.6%
( 128
 
7.6%
, 102
 
6.1%
2 90
 
5.4%
3 80
 
4.8%
0 52
 
3.1%
6 46
 
2.7%
4 46
 
2.7%
Other values (18) 187
 
11.1%
Hangul
ValueCountFrequency (%)
구 343
14.3%
로 341
14.2%
동 149
 
6.2%
시 135
 
5.6%
서 128
 
5.3%
울 128
 
5.3%
별 127
 
5.3%
특 127
 
5.3%
길 51
 
2.1%
층 45
 
1.9%
Other values (134) 830
34.5%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct72
Distinct (%)60.0%
Missing21
Missing (%)14.9%
Infinite0
Infinite (%)0.0%
Mean8294.775
Minimum8206
Maximum8393
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-05-11T01:21:59.279397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8206
5-th percentile8209
Q18244.75
median8290
Q38338
95-th percentile8391
Maximum8393
Range187
Interquartile range (IQR)93.25

Descriptive statistics

Standard deviation57.027262
Coefficient of variation (CV)0.0068750824
Kurtosis-1.049774
Mean8294.775
Median Absolute Deviation (MAD)48
Skewness0.11995599
Sum995373
Variance3252.1086
MonotonicityNot monotonic
2024-05-11T01:21:59.885717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8288 10
 
7.1%
8391 7
 
5.0%
8292 4
 
2.8%
8208 4
 
2.8%
8268 4
 
2.8%
8209 3
 
2.1%
8347 3
 
2.1%
8223 3
 
2.1%
8274 3
 
2.1%
8276 2
 
1.4%
Other values (62) 77
54.6%
(Missing) 21
 
14.9%
ValueCountFrequency (%)
8206 1
 
0.7%
8208 4
2.8%
8209 3
2.1%
8210 2
1.4%
8213 1
 
0.7%
8216 2
1.4%
8217 1
 
0.7%
8219 1
 
0.7%
8222 1
 
0.7%
8223 3
2.1%
ValueCountFrequency (%)
8393 1
 
0.7%
8391 7
5.0%
8388 1
 
0.7%
8384 1
 
0.7%
8379 2
 
1.4%
8378 1
 
0.7%
8375 1
 
0.7%
8374 2
 
1.4%
8372 1
 
0.7%
8371 2
 
1.4%

사업장명
Text

Distinct136
Distinct (%)96.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-05-11T01:22:00.543992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length15
Mean length7.7659574
Min length3

Characters and Unicode

Total characters1095
Distinct characters192
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique131 ?
Unique (%)92.9%

Sample

1st row안경나라고척점
2nd row대한안경원
3rd row아카데미안경원
4th row새광명당안경원
5th row대영당안경원
ValueCountFrequency (%)
으뜸50안경 3
 
1.8%
오렌즈 3
 
1.8%
밝은안경 2
 
1.2%
구로디지털점 2
 
1.2%
디큐브점 2
 
1.2%
그랑프리안경원 2
 
1.2%
안경진정성 2
 
1.2%
고척점 2
 
1.2%
안경 2
 
1.2%
신도림점 2
 
1.2%
Other values (139) 143
86.7%
2024-05-11T01:22:02.041999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
안 117
 
10.7%
경 116
 
10.6%
원 55
 
5.0%
점 50
 
4.6%
이 33
 
3.0%
24
 
2.2%
로 24
 
2.2%
구 24
 
2.2%
트 22
 
2.0%
아 22
 
2.0%
Other values (182) 608
55.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 986
90.0%
Space Separator 24
 
2.2%
Decimal Number 20
 
1.8%
Close Punctuation 19
 
1.7%
Open Punctuation 19
 
1.7%
Uppercase Letter 15
 
1.4%
Lowercase Letter 12
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
안 117
 
11.9%
경 116
 
11.8%
원 55
 
5.6%
점 50
 
5.1%
이 33
 
3.3%
로 24
 
2.4%
구 24
 
2.4%
트 22
 
2.2%
아 22
 
2.2%
스 21
 
2.1%
Other values (160) 502
50.9%
Uppercase Letter
ValueCountFrequency (%)
A 4
26.7%
O 2
13.3%
L 2
13.3%
N 2
13.3%
E 2
13.3%
S 1
 
6.7%
C 1
 
6.7%
K 1
 
6.7%
Lowercase Letter
ValueCountFrequency (%)
e 6
50.0%
y 2
 
16.7%
t 1
 
8.3%
r 1
 
8.3%
o 1
 
8.3%
f 1
 
8.3%
Decimal Number
ValueCountFrequency (%)
0 8
40.0%
5 5
25.0%
1 5
25.0%
3 1
 
5.0%
2 1
 
5.0%
Space Separator
ValueCountFrequency (%)
24
100.0%
Close Punctuation
ValueCountFrequency (%)
) 19
100.0%
Open Punctuation
ValueCountFrequency (%)
( 19
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 986
90.0%
Common 82
 
7.5%
Latin 27
 
2.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
안 117
 
11.9%
경 116
 
11.8%
원 55
 
5.6%
점 50
 
5.1%
이 33
 
3.3%
로 24
 
2.4%
구 24
 
2.4%
트 22
 
2.2%
아 22
 
2.2%
스 21
 
2.1%
Other values (160) 502
50.9%
Latin
ValueCountFrequency (%)
e 6
22.2%
A 4
14.8%
O 2
 
7.4%
L 2
 
7.4%
y 2
 
7.4%
N 2
 
7.4%
E 2
 
7.4%
S 1
 
3.7%
C 1
 
3.7%
K 1
 
3.7%
Other values (4) 4
14.8%
Common
ValueCountFrequency (%)
24
29.3%
) 19
23.2%
( 19
23.2%
0 8
 
9.8%
5 5
 
6.1%
1 5
 
6.1%
3 1
 
1.2%
2 1
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 986
90.0%
ASCII 109
 
10.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
안 117
 
11.9%
경 116
 
11.8%
원 55
 
5.6%
점 50
 
5.1%
이 33
 
3.3%
로 24
 
2.4%
구 24
 
2.4%
트 22
 
2.2%
아 22
 
2.2%
스 21
 
2.1%
Other values (160) 502
50.9%
ASCII
ValueCountFrequency (%)
24
22.0%
) 19
17.4%
( 19
17.4%
0 8
 
7.3%
e 6
 
5.5%
5 5
 
4.6%
1 5
 
4.6%
A 4
 
3.7%
O 2
 
1.8%
L 2
 
1.8%
Other values (12) 15
13.8%

최종수정일자
Date

UNIQUE 

Distinct141
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
Minimum2008-12-29 17:55:26
Maximum2024-04-11 14:26:06
2024-05-11T01:22:02.509213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T01:22:03.248742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
U
85 
I
56 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 85
60.3%
I 56
39.7%

Length

2024-05-11T01:22:03.774345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:22:04.252796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 85
60.3%
i 56
39.7%

데이터갱신일자
Date

Distinct68
Distinct (%)48.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-03 23:03:00
2024-05-11T01:22:04.717212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T01:22:05.356793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing141
Missing (%)100.0%
Memory size1.4 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct107
Distinct (%)82.9%
Missing12
Missing (%)8.5%
Infinite0
Infinite (%)0.0%
Mean188951.22
Minimum184272.86
Maximum203633.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-05-11T01:22:06.214713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum184272.86
5-th percentile185890.43
Q1187213.03
median189618.75
Q3190232.52
95-th percentile191136.13
Maximum203633.7
Range19360.84
Interquartile range (IQR)3019.4994

Descriptive statistics

Standard deviation2420.6542
Coefficient of variation (CV)0.012811
Kurtosis13.162734
Mean188951.22
Median Absolute Deviation (MAD)1161.0718
Skewness2.3268069
Sum24374708
Variance5859566.7
MonotonicityNot monotonic
2024-05-11T01:22:06.830534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
190232.524534335 9
 
6.4%
189570.360930049 3
 
2.1%
190107.045415333 3
 
2.1%
190005.132500398 3
 
2.1%
186163.283062821 2
 
1.4%
190901.977946718 2
 
1.4%
186745.682670517 2
 
1.4%
187525.339802832 2
 
1.4%
187169.757909571 2
 
1.4%
189618.752905327 2
 
1.4%
Other values (97) 99
70.2%
(Missing) 12
 
8.5%
ValueCountFrequency (%)
184272.859477603 1
0.7%
184394.439329436 1
0.7%
185022.945716122 1
0.7%
185191.586660863 1
0.7%
185713.902047377 1
0.7%
185746.485434 1
0.7%
185867.982684839 1
0.7%
185924.095682257 1
0.7%
186012.762940374 1
0.7%
186050.956403774 1
0.7%
ValueCountFrequency (%)
203633.699691841 1
0.7%
200643.182035142 1
0.7%
191239.693382941 1
0.7%
191229.896362573 1
0.7%
191209.106092001 1
0.7%
191173.834097241 1
0.7%
191162.943442005 1
0.7%
191095.900815766 1
0.7%
191061.147248344 1
0.7%
190980.657371441 1
0.7%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct107
Distinct (%)82.9%
Missing12
Missing (%)8.5%
Infinite0
Infinite (%)0.0%
Mean443310.14
Minimum410746.74
Maximum445250.54
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-05-11T01:22:07.531976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum410746.74
5-th percentile442188.58
Q1442999.56
median443813.36
Q3444481.84
95-th percentile445084.26
Maximum445250.54
Range34503.795
Interquartile range (IQR)1482.2723

Descriptive statistics

Standard deviation3617.0244
Coefficient of variation (CV)0.0081591286
Kurtosis62.0642
Mean443310.14
Median Absolute Deviation (MAD)713.54299
Skewness-7.5695282
Sum57187008
Variance13082866
MonotonicityNot monotonic
2024-05-11T01:22:08.164574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
444978.682746138 9
 
6.4%
444336.051330144 3
 
2.1%
445157.626366229 3
 
2.1%
445250.538868558 3
 
2.1%
443831.592757294 2
 
1.4%
442466.813410528 2
 
1.4%
444296.093513521 2
 
1.4%
443643.833213749 2
 
1.4%
443208.621706711 2
 
1.4%
444921.078748984 2
 
1.4%
Other values (97) 99
70.2%
(Missing) 12
 
8.5%
ValueCountFrequency (%)
410746.743609205 1
0.7%
421245.44916551 1
0.7%
441965.79198493 1
0.7%
441973.603139541 1
0.7%
442035.701504052 1
0.7%
442081.173738885 1
0.7%
442103.411241111 1
0.7%
442316.325150566 1
0.7%
442345.084288526 1
0.7%
442355.1559093 1
0.7%
ValueCountFrequency (%)
445250.538868558 3
 
2.1%
445157.626366229 3
 
2.1%
445153.61016346 1
 
0.7%
444980.245740444 1
 
0.7%
444978.682746138 9
6.4%
444939.837035174 1
 
0.7%
444921.078748984 2
 
1.4%
444891.605594405 1
 
0.7%
444823.105868276 1
 
0.7%
444767.375215151 1
 
0.7%

시력표수
Categorical

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
1
104 
<NA>
37 

Length

Max length4
Median length1
Mean length1.787234
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 104
73.8%
<NA> 37
 
26.2%

Length

2024-05-11T01:22:08.698397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:22:09.128140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 104
73.8%
na 37
 
26.2%

표본렌즈수
Categorical

Distinct4
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
1
97 
<NA>
39 
0
 
4
2
 
1

Length

Max length4
Median length1
Mean length1.8297872
Min length1

Unique

Unique1 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
1 97
68.8%
<NA> 39
27.7%
0 4
 
2.8%
2 1
 
0.7%

Length

2024-05-11T01:22:09.508404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:22:09.892011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 97
68.8%
na 39
27.7%
0 4
 
2.8%
2 1
 
0.7%

측정의자수
Categorical

Distinct3
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
1
97 
<NA>
39 
0
 
5

Length

Max length4
Median length1
Mean length1.8297872
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 97
68.8%
<NA> 39
27.7%
0 5
 
3.5%

Length

2024-05-11T01:22:10.342829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:22:10.688056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 97
68.8%
na 39
27.7%
0 5
 
3.5%

동공거리측정기수
Categorical

Distinct4
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
1
100 
<NA>
37 
2
 
2
3
 
2

Length

Max length4
Median length1
Mean length1.787234
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 100
70.9%
<NA> 37
 
26.2%
2 2
 
1.4%
3 2
 
1.4%

Length

2024-05-11T01:22:11.069970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:22:11.360377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 100
70.9%
na 37
 
26.2%
2 2
 
1.4%
3 2
 
1.4%

정점굴절계기수
Categorical

Distinct4
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
1
92 
<NA>
37 
2
11 
3
 
1

Length

Max length4
Median length1
Mean length1.787234
Min length1

Unique

Unique1 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
1 92
65.2%
<NA> 37
26.2%
2 11
 
7.8%
3 1
 
0.7%

Length

2024-05-11T01:22:11.652459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:22:11.993946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 92
65.2%
na 37
26.2%
2 11
 
7.8%
3 1
 
0.7%

조제용연마기수
Categorical

Distinct4
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
1
92 
<NA>
41 
0
 
6
2
 
2

Length

Max length4
Median length1
Mean length1.8723404
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 92
65.2%
<NA> 41
29.1%
0 6
 
4.3%
2 2
 
1.4%

Length

2024-05-11T01:22:12.396283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:22:12.718660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 92
65.2%
na 41
29.1%
0 6
 
4.3%
2 2
 
1.4%

렌즈절단기수
Categorical

Distinct3
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
1
93 
<NA>
41 
0
 
7

Length

Max length4
Median length1
Mean length1.8723404
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 93
66.0%
<NA> 41
29.1%
0 7
 
5.0%

Length

2024-05-11T01:22:13.045663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:22:13.409368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 93
66.0%
na 41
29.1%
0 7
 
5.0%

가열기수
Categorical

Distinct5
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
1
83 
<NA>
41 
2
10 
0
 
6
3
 
1

Length

Max length4
Median length1
Mean length1.8723404
Min length1

Unique

Unique1 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
1 83
58.9%
<NA> 41
29.1%
2 10
 
7.1%
0 6
 
4.3%
3 1
 
0.7%

Length

2024-05-11T01:22:13.778850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:22:14.124284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 83
58.9%
na 41
29.1%
2 10
 
7.1%
0 6
 
4.3%
3 1
 
0.7%

안경세척기수
Categorical

Distinct4
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
1
84 
<NA>
40 
2
11 
0
 
6

Length

Max length4
Median length1
Mean length1.8510638
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 84
59.6%
<NA> 40
28.4%
2 11
 
7.8%
0 6
 
4.3%

Length

2024-05-11T01:22:14.595780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:22:14.983110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 84
59.6%
na 40
28.4%
2 11
 
7.8%
0 6
 
4.3%

총면적
Real number (ℝ)

MISSING  ZEROS 

Distinct74
Distinct (%)73.3%
Missing40
Missing (%)28.4%
Infinite0
Infinite (%)0.0%
Mean41.960198
Minimum0
Maximum216.6
Zeros23
Zeros (%)16.3%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-05-11T01:22:15.429311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q120.4
median32.78
Q355.45
95-th percentile100.5
Maximum216.6
Range216.6
Interquartile range (IQR)35.05

Descriptive statistics

Standard deviation40.491894
Coefficient of variation (CV)0.96500721
Kurtosis5.2697955
Mean41.960198
Median Absolute Deviation (MAD)19.72
Skewness1.8951592
Sum4237.98
Variance1639.5935
MonotonicityNot monotonic
2024-05-11T01:22:16.014667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 23
 
16.3%
26.44 2
 
1.4%
33.0 2
 
1.4%
48.6 2
 
1.4%
26.4 2
 
1.4%
49.5 2
 
1.4%
74.34 1
 
0.7%
82.64 1
 
0.7%
29.72 1
 
0.7%
68.9 1
 
0.7%
Other values (64) 64
45.4%
(Missing) 40
28.4%
ValueCountFrequency (%)
0.0 23
16.3%
11.0 1
 
0.7%
18.32 1
 
0.7%
20.4 1
 
0.7%
21.11 1
 
0.7%
23.1 1
 
0.7%
25.74 1
 
0.7%
26.0 1
 
0.7%
26.4 2
 
1.4%
26.44 2
 
1.4%
ValueCountFrequency (%)
216.6 1
0.7%
193.27 1
0.7%
187.11 1
0.7%
131.0 1
0.7%
108.9 1
0.7%
100.5 1
0.7%
97.3 1
0.7%
96.6 1
0.7%
94.4 1
0.7%
90.0 1
0.7%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)시력표수표본렌즈수측정의자수동공거리측정기수정점굴절계기수조제용연마기수렌즈절단기수가열기수안경세척기수총면적
03160000PHMB21990316003408220000119900821<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2688-4442<NA><NA>서울특별시 구로구 고척동 50번지 71호 강산메디칼프라자 101호서울특별시 구로구 중앙로 60, 강산메디칼프라자 101호 (고척동)8223안경나라고척점2018-08-10 14:33:09I2018-08-31 23:59:59.0<NA>187779.518547444555.71541511111111157.5
13160000PHMB21991316003408220000119910618<NA>1영업/정상13영업중<NA><NA><NA><NA>02-862-2444<NA><NA>서울특별시 구로구 구로동 807번지 12호서울특별시 구로구 구로동로8길 1 (구로동)8319대한안경원2022-05-12 15:46:19U2021-12-04 23:04:00.0<NA>189825.811526442660.321812<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23160000PHMB21991316003408220000219910625<NA>3폐업3폐업20210430<NA><NA><NA>02-2681-1001<NA><NA>서울특별시 구로구 개봉동 353번지 14호 성원빌딩서울특별시 구로구 경인로 324, 성원빌딩 (개봉동)8274아카데미안경원2021-05-03 08:45:52U2021-05-05 02:40:00.0<NA>187213.02511443890.7744071111111110.0
33160000PHMB21991316003408220000319910627<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2613-8808<NA><NA>서울특별시 구로구 개봉동 154번지 51호서울특별시 구로구 경인로35길 20 (개봉동)8233새광명당안경원2022-05-12 15:45:36U2021-12-04 23:04:00.0<NA>187113.583983444009.681073<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43160000PHMB21991316003408220000419910702<NA>1영업/정상13영업중<NA><NA><NA><NA>02-854-2160<NA><NA>서울특별시 구로구 구로동 729번지 1호서울특별시 구로구 구로동로 133 (구로동)8310대영당안경원2019-02-11 15:21:59U2019-02-13 02:40:00.0<NA>189664.810712443148.432874111111111<NA>
53160000PHMB21991316003408220000519910703<NA>3폐업3폐업20220923<NA><NA><NA>02-869-9543<NA><NA>서울특별시 구로구 구로동 142번지 65호서울특별시 구로구 구로중앙로 14 (구로동)8305뉴독일안경원2022-09-26 08:53:16U2021-12-08 22:08:00.0<NA>190405.984437443271.756719<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63160000PHMB21991316003408220000619910705<NA>3폐업3폐업20120330<NA><NA><NA>02-2682-9921<NA>152834서울특별시 구로구 고척2동 273-6(1층)<NA><NA>명보안경원2012-03-30 14:03:17I2018-08-31 23:59:59.0<NA><NA><NA>1111111110.0
73160000PHMB2199131600340822000071991-07-05<NA>1영업/정상13영업중<NA><NA><NA><NA>02-854-8180<NA><NA>서울특별시 구로구 구로동 507번지 6호서울특별시 구로구 구로동로42길 56 (구로동)8280진흥안경원2023-03-08 14:18:42U2022-12-02 23:01:00.0<NA>189694.937489443991.086756<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83160000PHMB21991316003408220000819910731<NA>3폐업3폐업20190711<NA><NA><NA>02-2682-6990<NA><NA>서울특별시 구로구 고척동 327번지 고척동 동아한신아파트서울특별시 구로구 중앙로6길 17 (고척동, 고척동 동아한신아파트)8223아이필안경원2019-07-11 09:38:53U2019-07-13 02:40:00.0<NA>188004.468886444309.02091311111111194.4
93160000PHMB21991316003408220000919910731<NA>3폐업3폐업20210930<NA><NA><NA>02-853-4860<NA><NA>서울특별시 구로구 가리봉동 131번지 23호서울특별시 구로구 디지털로19길 16 (가리봉동)8388보성안경원2021-09-30 14:10:55U2021-10-02 02:40:00.0<NA>190204.489168442035.7015041111111110.0
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)시력표수표본렌즈수측정의자수동공거리측정기수정점굴절계기수조제용연마기수렌즈절단기수가열기수안경세척기수총면적
1313160000PHMB22021316003408220000620210916<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2615-1011<NA><NA>서울특별시 구로구 오류동 33-73서울특별시 구로구 경인로 228, 1층 (오류동)8271일공공일2021-09-16 13:01:05I2021-09-18 00:22:49.0<NA>186330.505811443857.14642510011000056.19
1323160000PHMB22021316003408220000720211124<NA>1영업/정상13영업중<NA><NA><NA><NA>02-854-9905<NA><NA>서울특별시 구로구 구로동 1124-72 조영빌딩서울특별시 구로구 디지털로32길 79, 조영빌딩 3층 (구로동)8391으뜸플러스안경(구로디지털점)2021-11-25 08:55:28I2021-11-27 00:22:44.0<NA>191061.147248442377.12541710011000082.64
1333160000PHMB22021316003408220000820211201<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2068-3852<NA><NA>서울특별시 구로구 신도림동 437-1 태영프라자서울특별시 구로구 경인로59길 8, 태영프라자 2층 206호 (신도림동)8210으뜸플러스안경 서울신도림점2021-12-02 08:42:05I2021-12-04 00:22:43.0<NA>189618.752905444921.07874910011000096.6
1343160000PHMB2202231600340822000012022-11-14<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2111-1013<NA><NA>서울특별시 구로구 구로동 3-25 신도림테크노마트서울특별시 구로구 새말로 97, 신도림테크노마트 BS2,3호 (구로동)8288아이센스안경원2023-04-27 09:09:46U2022-12-03 22:09:00.0<NA>190232.524534444978.682746<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1353160000PHMB22022316003408220000220221221<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3017-4520<NA><NA>서울특별시 구로구 고척동 100-7 고척아이파크 MD동 1층서울특별시 구로구 경인로43길 49, MD동 1층 (고척동, 고척아이파크)8226ALO고척아이파크몰점2022-12-21 13:20:36I2021-11-01 22:03:00.0<NA>187477.579441444045.294922<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1363160000PHMB2202331600340822000012023-05-11<NA>3폐업3폐업2023-10-31<NA><NA><NA>02-6953-9313<NA><NA>서울특별시 구로구 구로동 612-7서울특별시 구로구 구로중앙로 217, 1층 102,104호 (구로동)8216이안경2023-10-26 17:56:19U2022-10-30 22:08:00.0<NA>189039.501333444767.375215<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1373160000PHMB2202331600340822000022023-09-25<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 구로구 고척동 76-181서울특별시 구로구 경인로47길 23, 미림빌딩 3층 (고척동)8223으뜸50안경 고척점2023-09-25 16:38:37I2022-12-08 22:07:00.0<NA>188116.182428444250.170544<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1383160000PHMB2202331600340822000032023-10-04<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 구로구 시흥대로 569, 일진빌딩 104호 (구로동)8391윙크 구로디지털점2023-10-04 16:01:17I2022-10-31 00:07:00.0<NA>191229.896363442414.747844<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1393160000PHMB2202431600340822000012024-03-26<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 구로구 구로동 573 NC백화점서울특별시 구로구 구로중앙로 152, NC백화점 2층 (구로동)8292오렌즈 NC백화점 신구로점2024-03-26 17:22:12I2023-12-02 22:08:00.0<NA>189570.36093444336.05133<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1403160000PHMB2202431600340822000022024-04-11<NA>1영업/정상13영업중<NA><NA><NA><NA>02-858-9938<NA><NA>서울특별시 구로구 구로동 3-25 신도림테크노마트서울특별시 구로구 새말로 97, 신도림테크노마트 195,213,214호 (구로동)8288오렌즈 신도림점2024-04-11 14:26:06I2023-12-03 23:03:00.0<NA>190232.524534444978.682746<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>