Overview

Dataset statistics

Number of variables35
Number of observations92
Missing cells751
Missing cells (%)23.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory27.4 KiB
Average record size in memory304.4 B

Variable types

Categorical16
Text5
DateTime3
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
Author강북구
URLhttps://data.seoul.go.kr/dataList/OA-16390/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has 92 (100.0%) missing valuesMissing
폐업일자 has 49 (53.3%) missing valuesMissing
휴업시작일자 has 92 (100.0%) missing valuesMissing
휴업종료일자 has 92 (100.0%) missing valuesMissing
재개업일자 has 92 (100.0%) missing valuesMissing
전화번호 has 12 (13.0%) missing valuesMissing
소재지면적 has 92 (100.0%) missing valuesMissing
소재지우편번호 has 59 (64.1%) missing valuesMissing
지번주소 has 7 (7.6%) missing valuesMissing
도로명주소 has 3 (3.3%) missing valuesMissing
도로명우편번호 has 16 (17.4%) missing valuesMissing
업태구분명 has 92 (100.0%) missing valuesMissing
좌표정보(X) has 1 (1.1%) missing valuesMissing
좌표정보(Y) has 1 (1.1%) missing valuesMissing
총면적 has 51 (55.4%) 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
총면적 has 1 (1.1%) zerosZeros

Reproduction

Analysis started2024-04-29 18:58:38.038071
Analysis finished2024-04-29 18:58:38.761619
Duration0.72 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size868.0 B
3080000
92 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3080000
2nd row3080000
3rd row3080000
4th row3080000
5th row3080000

Common Values

ValueCountFrequency (%)
3080000 92
100.0%

Length

2024-04-30T03:58:38.824600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:58:38.892527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3080000 92
100.0%

관리번호
Text

UNIQUE 

Distinct92
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size868.0 B
2024-04-30T03:58:39.068347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters2300
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

Unique92 ?
Unique (%)100.0%

Sample

1st rowPHMB219833080033082200001
2nd rowPHMB219843080033082200001
3rd rowPHMB219853080033082200001
4th rowPHMB219863080033082200001
5th rowPHMB219863080033082200002
ValueCountFrequency (%)
phmb219833080033082200001 1
 
1.1%
phmb220113080033082200002 1
 
1.1%
phmb220143080033082200001 1
 
1.1%
phmb220133080033082200003 1
 
1.1%
phmb220133080033082200002 1
 
1.1%
phmb220133080033082200001 1
 
1.1%
phmb220123080033082200001 1
 
1.1%
phmb220113080033082200007 1
 
1.1%
phmb220113080033082200006 1
 
1.1%
phmb220113080033082200005 1
 
1.1%
Other values (82) 82
89.1%
2024-04-30T03:58:39.350848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 848
36.9%
2 380
16.5%
3 300
 
13.0%
8 195
 
8.5%
1 101
 
4.4%
P 92
 
4.0%
H 92
 
4.0%
M 92
 
4.0%
B 92
 
4.0%
9 43
 
1.9%
Other values (4) 65
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1932
84.0%
Uppercase Letter 368
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 848
43.9%
2 380
19.7%
3 300
 
15.5%
8 195
 
10.1%
1 101
 
5.2%
9 43
 
2.2%
5 22
 
1.1%
4 20
 
1.0%
6 15
 
0.8%
7 8
 
0.4%
Uppercase Letter
ValueCountFrequency (%)
P 92
25.0%
H 92
25.0%
M 92
25.0%
B 92
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1932
84.0%
Latin 368
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 848
43.9%
2 380
19.7%
3 300
 
15.5%
8 195
 
10.1%
1 101
 
5.2%
9 43
 
2.2%
5 22
 
1.1%
4 20
 
1.0%
6 15
 
0.8%
7 8
 
0.4%
Latin
ValueCountFrequency (%)
P 92
25.0%
H 92
25.0%
M 92
25.0%
B 92
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2300
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 848
36.9%
2 380
16.5%
3 300
 
13.0%
8 195
 
8.5%
1 101
 
4.4%
P 92
 
4.0%
H 92
 
4.0%
M 92
 
4.0%
B 92
 
4.0%
9 43
 
1.9%
Other values (4) 65
 
2.8%

인허가일자
Date

UNIQUE 

Distinct92
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size868.0 B
Minimum1983-09-23 00:00:00
Maximum2021-04-29 00:00:00
2024-04-30T03:58:39.495418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T03:58:39.623470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing92
Missing (%)100.0%
Memory size960.0 B

영업상태코드
Categorical

Distinct2
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size868.0 B
1
49 
3
43 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 49
53.3%
3 43
46.7%

Length

2024-04-30T03:58:39.735345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:58:39.814611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 49
53.3%
3 43
46.7%

영업상태명
Categorical

Distinct2
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size868.0 B
영업/정상
49 
폐업
43 

Length

Max length5
Median length5
Mean length3.5978261
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 49
53.3%
폐업 43
46.7%

Length

2024-04-30T03:58:39.905527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:58:39.992992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 49
53.3%
폐업 43
46.7%

상세영업상태코드
Categorical

Distinct2
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size868.0 B
13
49 
3
43 

Length

Max length2
Median length2
Mean length1.5326087
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 49
53.3%
3 43
46.7%

Length

2024-04-30T03:58:40.084404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:58:40.161125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 49
53.3%
3 43
46.7%

상세영업상태명
Categorical

Distinct2
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size868.0 B
영업중
49 
폐업
43 

Length

Max length3
Median length3
Mean length2.5326087
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 49
53.3%
폐업 43
46.7%

Length

2024-04-30T03:58:40.238644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:58:40.314378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 49
53.3%
폐업 43
46.7%

폐업일자
Date

MISSING 

Distinct43
Distinct (%)100.0%
Missing49
Missing (%)53.3%
Memory size868.0 B
Minimum2009-03-25 00:00:00
Maximum2024-04-12 00:00:00
2024-04-30T03:58:40.403073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T03:58:40.523855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing92
Missing (%)100.0%
Memory size960.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing92
Missing (%)100.0%
Memory size960.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing92
Missing (%)100.0%
Memory size960.0 B

전화번호
Text

MISSING 

Distinct77
Distinct (%)96.2%
Missing12
Missing (%)13.0%
Memory size868.0 B
2024-04-30T03:58:40.727525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length10.8
Min length8

Characters and Unicode

Total characters864
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

Unique75 ?
Unique (%)93.8%

Sample

1st row02-988-3152
2nd row02-903-1561
3rd row02-982-3333
4th row02-989-9357
5th row02-905-4347
ValueCountFrequency (%)
02-985-8003 3
 
3.8%
02-982-3333 2
 
2.5%
907-8277 1
 
1.2%
02-903-2213 1
 
1.2%
02-936-3130 1
 
1.2%
985-5967 1
 
1.2%
906-0168 1
 
1.2%
02-981-3181 1
 
1.2%
02-996-5343 1
 
1.2%
02-990-3773 1
 
1.2%
Other values (67) 67
83.8%
2024-04-30T03:58:41.049068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 154
17.8%
0 148
17.1%
9 128
14.8%
2 107
12.4%
8 72
8.3%
3 61
 
7.1%
1 59
 
6.8%
7 37
 
4.3%
4 36
 
4.2%
5 31
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 710
82.2%
Dash Punctuation 154
 
17.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 148
20.8%
9 128
18.0%
2 107
15.1%
8 72
10.1%
3 61
8.6%
1 59
 
8.3%
7 37
 
5.2%
4 36
 
5.1%
5 31
 
4.4%
6 31
 
4.4%
Dash Punctuation
ValueCountFrequency (%)
- 154
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 864
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 154
17.8%
0 148
17.1%
9 128
14.8%
2 107
12.4%
8 72
8.3%
3 61
 
7.1%
1 59
 
6.8%
7 37
 
4.3%
4 36
 
4.2%
5 31
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 864
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 154
17.8%
0 148
17.1%
9 128
14.8%
2 107
12.4%
8 72
8.3%
3 61
 
7.1%
1 59
 
6.8%
7 37
 
4.3%
4 36
 
4.2%
5 31
 
3.6%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing92
Missing (%)100.0%
Memory size960.0 B

소재지우편번호
Real number (ℝ)

MISSING 

Distinct20
Distinct (%)60.6%
Missing59
Missing (%)64.1%
Infinite0
Infinite (%)0.0%
Mean142603.12
Minimum142070
Maximum142886
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size960.0 B
2024-04-30T03:58:41.162529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum142070
5-th percentile142100
Q1142140
median142805
Q3142819
95-th percentile142879.6
Maximum142886
Range816
Interquartile range (IQR)679

Descriptive statistics

Standard deviation332.91682
Coefficient of variation (CV)0.002334569
Kurtosis-1.2648551
Mean142603.12
Median Absolute Deviation (MAD)18
Skewness-0.87886693
Sum4705903
Variance110833.61
MonotonicityNot monotonic
2024-04-30T03:58:41.261171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
142100 5
 
5.4%
142805 5
 
5.4%
142804 3
 
3.3%
142812 2
 
2.2%
142110 2
 
2.2%
142823 2
 
2.2%
142150 1
 
1.1%
142821 1
 
1.1%
142140 1
 
1.1%
142809 1
 
1.1%
Other values (10) 10
 
10.9%
(Missing) 59
64.1%
ValueCountFrequency (%)
142070 1
 
1.1%
142100 5
5.4%
142110 2
 
2.2%
142140 1
 
1.1%
142150 1
 
1.1%
142730 1
 
1.1%
142800 1
 
1.1%
142803 1
 
1.1%
142804 3
3.3%
142805 5
5.4%
ValueCountFrequency (%)
142886 1
1.1%
142885 1
1.1%
142876 1
1.1%
142867 1
1.1%
142823 2
2.2%
142821 1
1.1%
142820 1
1.1%
142819 1
1.1%
142812 2
2.2%
142809 1
1.1%

지번주소
Text

MISSING 

Distinct83
Distinct (%)97.6%
Missing7
Missing (%)7.6%
Memory size868.0 B
2024-04-30T03:58:41.513714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length36
Mean length23.670588
Min length13

Characters and Unicode

Total characters2012
Distinct characters78
Distinct categories6 ?
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 강북구 삼양동 775번지 3호
2nd row서울특별시 강북구 수유동 316번지 11호
3rd row서울특별시 강북구 송중동 71번지 5호
4th row서울특별시 강북구 미아동 62번지 9호
5th row서울특별시 강북구 번동 410번지 1호
ValueCountFrequency (%)
서울특별시 85
19.3%
강북구 85
19.3%
미아동 31
 
7.0%
수유동 22
 
5.0%
번동 13
 
2.9%
5호 8
 
1.8%
3호 7
 
1.6%
송천동 5
 
1.1%
62번지 5
 
1.1%
1호 5
 
1.1%
Other values (129) 175
39.7%
2024-04-30T03:58:41.877447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
356
17.7%
번 93
 
4.6%
동 86
 
4.3%
북 86
 
4.3%
시 86
 
4.3%
울 85
 
4.2%
구 85
 
4.2%
서 85
 
4.2%
강 85
 
4.2%
별 85
 
4.2%
Other values (68) 880
43.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1253
62.3%
Decimal Number 393
 
19.5%
Space Separator 356
 
17.7%
Other Punctuation 4
 
0.2%
Dash Punctuation 3
 
0.1%
Uppercase Letter 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
번 93
 
7.4%
동 86
 
6.9%
북 86
 
6.9%
시 86
 
6.9%
울 85
 
6.8%
구 85
 
6.8%
서 85
 
6.8%
강 85
 
6.8%
별 85
 
6.8%
특 85
 
6.8%
Other values (52) 392
31.3%
Decimal Number
ValueCountFrequency (%)
1 77
19.6%
4 51
13.0%
3 45
11.5%
2 38
9.7%
0 37
9.4%
6 34
8.7%
5 31
7.9%
7 30
 
7.6%
8 27
 
6.9%
9 23
 
5.9%
Uppercase Letter
ValueCountFrequency (%)
K 1
33.3%
J 1
33.3%
B 1
33.3%
Space Separator
ValueCountFrequency (%)
356
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1253
62.3%
Common 756
37.6%
Latin 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
번 93
 
7.4%
동 86
 
6.9%
북 86
 
6.9%
시 86
 
6.9%
울 85
 
6.8%
구 85
 
6.8%
서 85
 
6.8%
강 85
 
6.8%
별 85
 
6.8%
특 85
 
6.8%
Other values (52) 392
31.3%
Common
ValueCountFrequency (%)
356
47.1%
1 77
 
10.2%
4 51
 
6.7%
3 45
 
6.0%
2 38
 
5.0%
0 37
 
4.9%
6 34
 
4.5%
5 31
 
4.1%
7 30
 
4.0%
8 27
 
3.6%
Other values (3) 30
 
4.0%
Latin
ValueCountFrequency (%)
K 1
33.3%
J 1
33.3%
B 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1253
62.3%
ASCII 759
37.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
356
46.9%
1 77
 
10.1%
4 51
 
6.7%
3 45
 
5.9%
2 38
 
5.0%
0 37
 
4.9%
6 34
 
4.5%
5 31
 
4.1%
7 30
 
4.0%
8 27
 
3.6%
Other values (6) 33
 
4.3%
Hangul
ValueCountFrequency (%)
번 93
 
7.4%
동 86
 
6.9%
북 86
 
6.9%
시 86
 
6.9%
울 85
 
6.8%
구 85
 
6.8%
서 85
 
6.8%
강 85
 
6.8%
별 85
 
6.8%
특 85
 
6.8%
Other values (52) 392
31.3%

도로명주소
Text

MISSING 

Distinct83
Distinct (%)93.3%
Missing3
Missing (%)3.3%
Memory size868.0 B
2024-04-30T03:58:42.109958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length39
Mean length27.089888
Min length21

Characters and Unicode

Total characters2411
Distinct characters114
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

Unique79 ?
Unique (%)88.8%

Sample

1st row서울특별시 강북구 삼양로 464 (수유동)
2nd row서울특별시 강북구 도봉로 48 (미아동)
3rd row서울특별시 강북구 도봉로 61 (미아동)
4th row서울특별시 강북구 한천로 977 (번동)
5th row서울특별시 강북구 도봉로 352, 104호 (번동, 효성네오인텔리안)
ValueCountFrequency (%)
서울특별시 89
17.8%
강북구 89
17.8%
미아동 47
 
9.4%
도봉로 35
 
7.0%
수유동 26
 
5.2%
번동 14
 
2.8%
삼양로 13
 
2.6%
솔샘로 11
 
2.2%
1층 10
 
2.0%
2층 5
 
1.0%
Other values (138) 162
32.3%
2024-04-30T03:58:42.483908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
414
 
17.2%
시 92
 
3.8%
동 91
 
3.8%
북 91
 
3.8%
서 90
 
3.7%
로 89
 
3.7%
울 89
 
3.7%
( 89
 
3.7%
) 89
 
3.7%
특 89
 
3.7%
Other values (104) 1188
49.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1430
59.3%
Space Separator 414
 
17.2%
Decimal Number 327
 
13.6%
Open Punctuation 89
 
3.7%
Close Punctuation 89
 
3.7%
Other Punctuation 53
 
2.2%
Dash Punctuation 8
 
0.3%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 92
 
6.4%
동 91
 
6.4%
북 91
 
6.4%
서 90
 
6.3%
로 89
 
6.2%
울 89
 
6.2%
특 89
 
6.2%
구 89
 
6.2%
강 89
 
6.2%
별 89
 
6.2%
Other values (88) 532
37.2%
Decimal Number
ValueCountFrequency (%)
1 63
19.3%
2 56
17.1%
3 40
12.2%
4 35
10.7%
7 28
8.6%
5 27
8.3%
6 24
 
7.3%
9 20
 
6.1%
8 18
 
5.5%
0 16
 
4.9%
Space Separator
ValueCountFrequency (%)
414
100.0%
Open Punctuation
ValueCountFrequency (%)
( 89
100.0%
Close Punctuation
ValueCountFrequency (%)
) 89
100.0%
Other Punctuation
ValueCountFrequency (%)
, 53
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1430
59.3%
Common 980
40.6%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 92
 
6.4%
동 91
 
6.4%
북 91
 
6.4%
서 90
 
6.3%
로 89
 
6.2%
울 89
 
6.2%
특 89
 
6.2%
구 89
 
6.2%
강 89
 
6.2%
별 89
 
6.2%
Other values (88) 532
37.2%
Common
ValueCountFrequency (%)
414
42.2%
( 89
 
9.1%
) 89
 
9.1%
1 63
 
6.4%
2 56
 
5.7%
, 53
 
5.4%
3 40
 
4.1%
4 35
 
3.6%
7 28
 
2.9%
5 27
 
2.8%
Other values (5) 86
 
8.8%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1430
59.3%
ASCII 981
40.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
414
42.2%
( 89
 
9.1%
) 89
 
9.1%
1 63
 
6.4%
2 56
 
5.7%
, 53
 
5.4%
3 40
 
4.1%
4 35
 
3.6%
7 28
 
2.9%
5 27
 
2.8%
Other values (6) 87
 
8.9%
Hangul
ValueCountFrequency (%)
시 92
 
6.4%
동 91
 
6.4%
북 91
 
6.4%
서 90
 
6.3%
로 89
 
6.2%
울 89
 
6.2%
특 89
 
6.2%
구 89
 
6.2%
강 89
 
6.2%
별 89
 
6.2%
Other values (88) 532
37.2%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct55
Distinct (%)72.4%
Missing16
Missing (%)17.4%
Infinite0
Infinite (%)0.0%
Mean6697.9211
Minimum1006
Maximum142724
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size960.0 B
2024-04-30T03:58:42.597760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1006
5-th percentile1037.5
Q11063
median1115.5
Q31201.25
95-th percentile1224.5
Maximum142724
Range141718
Interquartile range (IQR)138.25

Descriptive statistics

Standard deviation27674.534
Coefficient of variation (CV)4.1318096
Kurtosis21.864719
Mean6697.9211
Median Absolute Deviation (MAD)64.5
Skewness4.8259236
Sum509042
Variance7.6587984 × 108
MonotonicityNot monotonic
2024-04-30T03:58:42.714479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1074 3
 
3.3%
1205 3
 
3.3%
1215 3
 
3.3%
1189 3
 
3.3%
1062 3
 
3.3%
1220 3
 
3.3%
1063 3
 
3.3%
1170 2
 
2.2%
1224 2
 
2.2%
1056 2
 
2.2%
Other values (45) 49
53.3%
(Missing) 16
 
17.4%
ValueCountFrequency (%)
1006 1
1.1%
1009 1
1.1%
1011 1
1.1%
1036 1
1.1%
1038 1
1.1%
1039 1
1.1%
1040 1
1.1%
1043 1
1.1%
1044 1
1.1%
1051 2
2.2%
ValueCountFrequency (%)
142724 1
 
1.1%
142110 1
 
1.1%
142100 1
 
1.1%
1226 1
 
1.1%
1224 2
2.2%
1222 1
 
1.1%
1220 3
3.3%
1219 2
2.2%
1218 1
 
1.1%
1215 3
3.3%

사업장명
Text

Distinct89
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Memory size868.0 B
2024-04-30T03:58:42.946024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length13
Mean length6.5543478
Min length3

Characters and Unicode

Total characters603
Distinct characters159
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

Unique86 ?
Unique (%)93.5%

Sample

1st row뉴서독안경
2nd row씨.채널안경
3rd row대지안경
4th row하나안경콘택트
5th row명동안경
ValueCountFrequency (%)
수유점 4
 
3.8%
휴아이안경 2
 
1.9%
렌즈스토리 2
 
1.9%
대지안경 2
 
1.9%
으뜸50안경 2
 
1.9%
굿안경 1
 
1.0%
화니안경원 1
 
1.0%
그랑프리안경원미아삼거리점 1
 
1.0%
뉴서독안경 1
 
1.0%
아이루스안경원 1
 
1.0%
Other values (88) 88
83.8%
2024-04-30T03:58:43.279438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
안 77
 
12.8%
경 76
 
12.6%
아 26
 
4.3%
점 21
 
3.5%
원 18
 
3.0%
스 17
 
2.8%
미 15
 
2.5%
이 14
 
2.3%
13
 
2.2%
리 12
 
2.0%
Other values (149) 314
52.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 573
95.0%
Space Separator 13
 
2.2%
Decimal Number 11
 
1.8%
Other Punctuation 2
 
0.3%
Lowercase Letter 2
 
0.3%
Close Punctuation 1
 
0.2%
Open Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
안 77
 
13.4%
경 76
 
13.3%
아 26
 
4.5%
점 21
 
3.7%
원 18
 
3.1%
스 17
 
3.0%
미 15
 
2.6%
이 14
 
2.4%
리 12
 
2.1%
트 11
 
1.9%
Other values (137) 286
49.9%
Decimal Number
ValueCountFrequency (%)
0 4
36.4%
1 3
27.3%
5 2
18.2%
3 1
 
9.1%
2 1
 
9.1%
Other Punctuation
ValueCountFrequency (%)
: 1
50.0%
. 1
50.0%
Lowercase Letter
ValueCountFrequency (%)
y 1
50.0%
b 1
50.0%
Space Separator
ValueCountFrequency (%)
13
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 573
95.0%
Common 28
 
4.6%
Latin 2
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
안 77
 
13.4%
경 76
 
13.3%
아 26
 
4.5%
점 21
 
3.7%
원 18
 
3.1%
스 17
 
3.0%
미 15
 
2.6%
이 14
 
2.4%
리 12
 
2.1%
트 11
 
1.9%
Other values (137) 286
49.9%
Common
ValueCountFrequency (%)
13
46.4%
0 4
 
14.3%
1 3
 
10.7%
5 2
 
7.1%
) 1
 
3.6%
( 1
 
3.6%
: 1
 
3.6%
. 1
 
3.6%
3 1
 
3.6%
2 1
 
3.6%
Latin
ValueCountFrequency (%)
y 1
50.0%
b 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 573
95.0%
ASCII 30
 
5.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
안 77
 
13.4%
경 76
 
13.3%
아 26
 
4.5%
점 21
 
3.7%
원 18
 
3.1%
스 17
 
3.0%
미 15
 
2.6%
이 14
 
2.4%
리 12
 
2.1%
트 11
 
1.9%
Other values (137) 286
49.9%
ASCII
ValueCountFrequency (%)
13
43.3%
0 4
 
13.3%
1 3
 
10.0%
5 2
 
6.7%
) 1
 
3.3%
( 1
 
3.3%
: 1
 
3.3%
y 1
 
3.3%
b 1
 
3.3%
. 1
 
3.3%
Other values (2) 2
 
6.7%

최종수정일자
Date

UNIQUE 

Distinct92
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size868.0 B
Minimum2009-04-06 16:18:30
Maximum2024-04-19 17:13:46
2024-04-30T03:58:43.408285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T03:58:43.527184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size868.0 B
I
64 
U
28 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 64
69.6%
U 28
30.4%

Length

2024-04-30T03:58:43.639951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:58:43.713105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 64
69.6%
u 28
30.4%

데이터갱신일자
Categorical

Distinct33
Distinct (%)35.9%
Missing0
Missing (%)0.0%
Memory size868.0 B
2018-08-31 23:59:59.0
60 
2019-05-31 02:40:00.0
 
1
2020-07-02 02:40:00.0
 
1
2019-06-07 02:40:00.0
 
1
2019-02-03 02:40:00.0
 
1
Other values (28)
28 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique32 ?
Unique (%)34.8%

Sample

1st row2018-08-31 23:59:59.0
2nd row2019-05-31 02:40:00.0
3rd row2018-08-31 23:59:59.0
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 60
65.2%
2019-05-31 02:40:00.0 1
 
1.1%
2020-07-02 02:40:00.0 1
 
1.1%
2019-06-07 02:40:00.0 1
 
1.1%
2019-02-03 02:40:00.0 1
 
1.1%
2021-07-28 02:40:00.0 1
 
1.1%
2021-12-08 00:06:00.0 1
 
1.1%
2023-12-03 23:08:00.0 1
 
1.1%
2019-04-21 02:40:00.0 1
 
1.1%
2020-07-30 02:40:00.0 1
 
1.1%
Other values (23) 23
 
25.0%

Length

2024-04-30T03:58:43.961865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2018-08-31 60
32.6%
23:59:59.0 60
32.6%
02:40:00.0 16
 
8.7%
2021-10-31 4
 
2.2%
2020-07-16 2
 
1.1%
2023-12-03 2
 
1.1%
02:35:29.0 1
 
0.5%
2019-08-31 1
 
0.5%
22:06:00.0 1
 
0.5%
2020-07-09 1
 
0.5%
Other values (36) 36
19.6%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing92
Missing (%)100.0%
Memory size960.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct82
Distinct (%)90.1%
Missing1
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean202087.66
Minimum201002.33
Maximum203664.26
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size960.0 B
2024-04-30T03:58:44.057412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum201002.33
5-th percentile201168.71
Q1201590.08
median202135.86
Q3202546.63
95-th percentile202905.16
Maximum203664.26
Range2661.9311
Interquartile range (IQR)956.55538

Descriptive statistics

Standard deviation571.13775
Coefficient of variation (CV)0.0028261882
Kurtosis-0.24826941
Mean202087.66
Median Absolute Deviation (MAD)468.44537
Skewness0.18737348
Sum18389977
Variance326198.33
MonotonicityNot monotonic
2024-04-30T03:58:44.171431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
202317.064607714 3
 
3.3%
202547.562596001 3
 
3.3%
202625.646264572 2
 
2.2%
202621.016977455 2
 
2.2%
202269.364853819 2
 
2.2%
201494.627293774 2
 
2.2%
202616.846699588 2
 
2.2%
201667.412168076 1
 
1.1%
202218.044288909 1
 
1.1%
202132.411670676 1
 
1.1%
Other values (72) 72
78.3%
ValueCountFrequency (%)
201002.332122636 1
1.1%
201059.873232343 1
1.1%
201069.055701108 1
1.1%
201113.203116655 1
1.1%
201133.697320511 1
1.1%
201203.713212552 1
1.1%
201333.709239206 1
1.1%
201344.085090197 1
1.1%
201345.094610674 1
1.1%
201396.084505776 1
1.1%
ValueCountFrequency (%)
203664.263224132 1
1.1%
203465.746576461 1
1.1%
203448.804741152 1
1.1%
203007.176024258 1
1.1%
202934.082956045 1
1.1%
202876.23989021 1
1.1%
202737.71919762 1
1.1%
202683.143077979 1
1.1%
202649.727155997 1
1.1%
202635.07229069 1
1.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct82
Distinct (%)90.1%
Missing1
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean458410.32
Minimum456360.43
Maximum461479.38
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size960.0 B
2024-04-30T03:58:44.286722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum456360.43
5-th percentile456732.96
Q1457374.05
median458215.32
Q3459509.5
95-th percentile460360.51
Maximum461479.38
Range5118.9436
Interquartile range (IQR)2135.4509

Descriptive statistics

Standard deviation1288.1883
Coefficient of variation (CV)0.0028101207
Kurtosis-1.0865413
Mean458410.32
Median Absolute Deviation (MAD)1237.1434
Skewness0.24107943
Sum41715339
Variance1659429.2
MonotonicityNot monotonic
2024-04-30T03:58:44.403167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
459590.573498344 3
 
3.3%
456952.324117529 3
 
3.3%
456875.973976242 2
 
2.2%
456666.40708658 2
 
2.2%
458034.186453469 2
 
2.2%
458136.342274236 2
 
2.2%
456914.955368757 2
 
2.2%
458045.65556909 1
 
1.1%
459587.426824841 1
 
1.1%
458690.802597361 1
 
1.1%
Other values (72) 72
78.3%
ValueCountFrequency (%)
456360.433254943 1
1.1%
456666.40708658 2
2.2%
456689.130734437 1
1.1%
456707.113845799 1
1.1%
456758.813670659 1
1.1%
456759.515353862 1
1.1%
456770.630403897 1
1.1%
456782.748207008 1
1.1%
456814.640057964 1
1.1%
456845.373829971 1
1.1%
ValueCountFrequency (%)
461479.376885777 1
1.1%
460995.281762303 1
1.1%
460748.683003907 1
1.1%
460680.053995852 1
1.1%
460416.040267152 1
1.1%
460304.989398105 1
1.1%
460260.14134764 1
1.1%
460251.721519245 1
1.1%
460112.845637771 1
1.1%
460091.59722407 1
1.1%

시력표수
Categorical

Distinct4
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size868.0 B
0
42 
1
37 
<NA>
10 
2
 
3

Length

Max length4
Median length1
Mean length1.326087
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row1
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 42
45.7%
1 37
40.2%
<NA> 10
 
10.9%
2 3
 
3.3%

Length

2024-04-30T03:58:44.508972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:58:44.597321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 42
45.7%
1 37
40.2%
na 10
 
10.9%
2 3
 
3.3%

표본렌즈수
Categorical

Distinct5
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size868.0 B
0
42 
1
34 
<NA>
13 
2
 
2
10
 
1

Length

Max length4
Median length1
Mean length1.4347826
Min length1

Unique

Unique1 ?
Unique (%)1.1%

Sample

1st row0
2nd row1
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 42
45.7%
1 34
37.0%
<NA> 13
 
14.1%
2 2
 
2.2%
10 1
 
1.1%

Length

2024-04-30T03:58:44.703475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:58:44.795525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 42
45.7%
1 34
37.0%
na 13
 
14.1%
2 2
 
2.2%
10 1
 
1.1%

측정의자수
Categorical

Distinct5
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size868.0 B
0
42 
1
34 
<NA>
13 
2
 
2
3
 
1

Length

Max length4
Median length1
Mean length1.423913
Min length1

Unique

Unique1 ?
Unique (%)1.1%

Sample

1st row0
2nd row1
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 42
45.7%
1 34
37.0%
<NA> 13
 
14.1%
2 2
 
2.2%
3 1
 
1.1%

Length

2024-04-30T03:58:44.895012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:58:44.977306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 42
45.7%
1 34
37.0%
na 13
 
14.1%
2 2
 
2.2%
3 1
 
1.1%

동공거리측정기수
Categorical

Distinct5
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size868.0 B
0
44 
1
33 
<NA>
10 
2
 
4
5
 
1

Length

Max length4
Median length1
Mean length1.326087
Min length1

Unique

Unique1 ?
Unique (%)1.1%

Sample

1st row0
2nd row1
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 44
47.8%
1 33
35.9%
<NA> 10
 
10.9%
2 4
 
4.3%
5 1
 
1.1%

Length

2024-04-30T03:58:45.090342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:58:45.183820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 44
47.8%
1 33
35.9%
na 10
 
10.9%
2 4
 
4.3%
5 1
 
1.1%

정점굴절계기수
Categorical

Distinct5
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size868.0 B
0
43 
1
26 
<NA>
10 
2
9 
3
 
4

Length

Max length4
Median length1
Mean length1.326087
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row1
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 43
46.7%
1 26
28.3%
<NA> 10
 
10.9%
2 9
 
9.8%
3 4
 
4.3%

Length

2024-04-30T03:58:45.294926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:58:45.391216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 43
46.7%
1 26
28.3%
na 10
 
10.9%
2 9
 
9.8%
3 4
 
4.3%

조제용연마기수
Categorical

Distinct4
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size868.0 B
0
43 
1
33 
<NA>
13 
2
 
3

Length

Max length4
Median length1
Mean length1.423913
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row1
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 43
46.7%
1 33
35.9%
<NA> 13
 
14.1%
2 3
 
3.3%

Length

2024-04-30T03:58:45.486206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:58:45.570820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 43
46.7%
1 33
35.9%
na 13
 
14.1%
2 3
 
3.3%

렌즈절단기수
Categorical

Distinct4
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size868.0 B
0
43 
1
34 
<NA>
13 
2
 
2

Length

Max length4
Median length1
Mean length1.423913
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row1
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 43
46.7%
1 34
37.0%
<NA> 13
 
14.1%
2 2
 
2.2%

Length

2024-04-30T03:58:45.660642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:58:45.760180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 43
46.7%
1 34
37.0%
na 13
 
14.1%
2 2
 
2.2%

가열기수
Categorical

Distinct5
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size868.0 B
0
43 
1
25 
<NA>
13 
2
10 
3
 
1

Length

Max length4
Median length1
Mean length1.423913
Min length1

Unique

Unique1 ?
Unique (%)1.1%

Sample

1st row0
2nd row1
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 43
46.7%
1 25
27.2%
<NA> 13
 
14.1%
2 10
 
10.9%
3 1
 
1.1%

Length

2024-04-30T03:58:45.865356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:58:45.955460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 43
46.7%
1 25
27.2%
na 13
 
14.1%
2 10
 
10.9%
3 1
 
1.1%

안경세척기수
Categorical

Distinct5
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size868.0 B
0
43 
1
25 
<NA>
13 
2
10 
3
 
1

Length

Max length4
Median length1
Mean length1.423913
Min length1

Unique

Unique1 ?
Unique (%)1.1%

Sample

1st row0
2nd row1
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 43
46.7%
1 25
27.2%
<NA> 13
 
14.1%
2 10
 
10.9%
3 1
 
1.1%

Length

2024-04-30T03:58:46.067497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:58:46.162634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 43
46.7%
1 25
27.2%
na 13
 
14.1%
2 10
 
10.9%
3 1
 
1.1%

총면적
Real number (ℝ)

MISSING  ZEROS 

Distinct38
Distinct (%)92.7%
Missing51
Missing (%)55.4%
Infinite0
Infinite (%)0.0%
Mean55.762195
Minimum0
Maximum243.66
Zeros1
Zeros (%)1.1%
Negative0
Negative (%)0.0%
Memory size960.0 B
2024-04-30T03:58:46.258735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile12
Q126
median36.2
Q370
95-th percentile165
Maximum243.66
Range243.66
Interquartile range (IQR)44

Descriptive statistics

Standard deviation51.107754
Coefficient of variation (CV)0.91653052
Kurtosis4.0198019
Mean55.762195
Median Absolute Deviation (MAD)17.96
Skewness1.922174
Sum2286.25
Variance2612.0025
MonotonicityNot monotonic
2024-04-30T03:58:46.363021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
35.64 2
 
2.2%
33.0 2
 
2.2%
165.0 2
 
2.2%
0.0 1
 
1.1%
39.0 1
 
1.1%
33.18 1
 
1.1%
120.0 1
 
1.1%
36.2 1
 
1.1%
12.0 1
 
1.1%
243.66 1
 
1.1%
Other values (28) 28
30.4%
(Missing) 51
55.4%
ValueCountFrequency (%)
0.0 1
1.1%
1.0 1
1.1%
12.0 1
1.1%
14.01 1
1.1%
15.0 1
1.1%
16.25 1
1.1%
18.0 1
1.1%
18.24 1
1.1%
19.8 1
1.1%
23.1 1
1.1%
ValueCountFrequency (%)
243.66 1
1.1%
165.0 2
2.2%
157.89 1
1.1%
120.0 1
1.1%
99.0 1
1.1%
87.54 1
1.1%
85.0 1
1.1%
82.77 1
1.1%
79.0 1
1.1%
70.0 1
1.1%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)시력표수표본렌즈수측정의자수동공거리측정기수정점굴절계기수조제용연마기수렌즈절단기수가열기수안경세척기수총면적
03080000PHMB21983308003308220000119830923<NA>3폐업3폐업20101103<NA><NA><NA>02-988-3152<NA>142110서울특별시 강북구 삼양동 775번지 3호<NA><NA>뉴서독안경2010-11-03 16:05:43I2018-08-31 23:59:59.0<NA>201585.157408458073.672643000000000<NA>
13080000PHMB21984308003308220000119840308<NA>1영업/정상13영업중<NA><NA><NA><NA>02-903-1561<NA><NA>서울특별시 강북구 수유동 316번지 11호서울특별시 강북구 삼양로 464 (수유동)1039씨.채널안경2019-05-29 17:18:47U2019-05-31 02:40:00.0<NA>201344.08509460251.72151911111111185.0
23080000PHMB21985308003308220000119851126<NA>3폐업3폐업20141216<NA><NA><NA>02-982-3333<NA>142804서울특별시 강북구 송중동 71번지 5호서울특별시 강북구 도봉로 48 (미아동)<NA>대지안경2014-12-16 10:52:34I2018-08-31 23:59:59.0<NA>202611.080917456770.630404000000000<NA>
33080000PHMB21986308003308220000119860827<NA>3폐업3폐업20180330<NA><NA><NA>02-989-9357<NA><NA>서울특별시 강북구 미아동 62번지 9호서울특별시 강북구 도봉로 61 (미아동)1205하나안경콘택트2018-03-30 11:25:51I2018-08-31 23:59:59.0<NA>202554.757267456920.088016000000000<NA>
43080000PHMB21986308003308220000219861002<NA>1영업/정상13영업중<NA><NA><NA><NA>02-905-4347<NA><NA>서울특별시 강북구 번동 410번지 1호서울특별시 강북구 한천로 977 (번동)1067명동안경2015-09-14 16:21:41I2018-08-31 23:59:59.0<NA>202737.719198459346.858242000000000<NA>
53080000PHMB21986308003308220000319861004<NA>1영업/정상13영업중<NA><NA><NA><NA>02-999-7761<NA><NA>서울특별시 강북구 번동 418번지 3호서울특별시 강북구 도봉로 352, 104호 (번동, 효성네오인텔리안)1063중앙안경2017-02-28 16:01:25I2018-08-31 23:59:59.0<NA>202317.064608459590.57349811102111147.85
63080000PHMB21990308003308220000119900328<NA>1영업/정상13영업중<NA><NA><NA><NA>02-903-7534<NA><NA>서울특별시 강북구 수유동 279번지 129호서울특별시 강북구 삼양로 517 (수유동)1011권박사안경2015-09-14 16:20:06I2018-08-31 23:59:59.0<NA>201133.697321460748.683004000000000<NA>
73080000PHMB21990308003308220000219901106<NA>1영업/정상13영업중<NA><NA><NA><NA>02-991-2770<NA><NA>서울특별시 강북구 수유동 191번지 44호서울특별시 강북구 도봉로 353-1 (수유동)1074스위스안경2015-09-14 16:16:38I2018-08-31 23:59:59.0<NA>202273.932983459651.438854000000000<NA>
83080000PHMB21991308003308220000119910520<NA>3폐업3폐업20130507<NA><NA><NA>02-980-1894<NA>142805서울특별시 강북구 송천동 60번지 16호서울특별시 강북구 도봉로 45 (미아동)142724서울안경2013-05-07 13:27:02I2018-08-31 23:59:59.0<NA>202545.707125456814.640058000000000<NA>
93080000PHMB21991308003308220000219910704<NA>3폐업3폐업20200630<NA><NA><NA>02-902-9967<NA><NA>서울특별시 강북구 수유동 685번지 5호서울특별시 강북구 노해로 126 (수유동)1051아이닥터안경원2020-06-30 13:03:09U2020-07-02 02:40:00.0<NA>202135.857538460416.040267000000000<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)시력표수표본렌즈수측정의자수동공거리측정기수정점굴절계기수조제용연마기수렌즈절단기수가열기수안경세척기수총면적
823080000PHMB22016308003308220000120160125<NA>1영업/정상13영업중<NA><NA><NA><NA>02-980-0818<NA><NA>서울특별시 강북구 미아동 703-140서울특별시 강북구 솔샘로 243, 1층 (미아동)1189보다:밝은안경2021-08-20 13:25:12U2021-08-22 02:40:00.0<NA>201662.275793457512.71878311111111139.0
833080000PHMB2201630800330822000022016-12-08<NA>1영업/정상13영업중<NA><NA><NA><NA>02-434-4470<NA><NA>서울특별시 강북구 미아동 42번지 11호서울특별시 강북구 월계로 3, 1층 (미아동, 덕신빌딩)1220다비치안경원 미아사거리점2023-06-20 18:52:24U2022-12-05 22:02:00.0<NA>202635.072291456360.433255<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
843080000PHMB22017308003308220000120170821<NA>1영업/정상13영업중<NA><NA><NA><NA>02-904-0303<NA><NA>서울특별시 강북구 번동 464번지 15호서울특별시 강북구 도봉로96길 5-4, 1층 (번동)1056필그림안경콘택트2017-09-01 13:59:29I2018-08-31 23:59:59.0<NA>202524.241571459818.11927311111111133.0
853080000PHMB22017308003308220000220171108<NA>1영업/정상13영업중<NA><NA><NA><NA>02-906-1104<NA><NA>서울특별시 강북구 번동 444번지 21호 KJ빌서울특별시 강북구 오패산로 389-1, 1층 (번동)1065세상을쓰다2018-01-24 15:49:20I2018-08-31 23:59:59.0<NA>202404.248252459304.77472311111111149.5
863080000PHMB22018308003308220000120180918<NA>3폐업3폐업20181019<NA><NA><NA><NA><NA><NA>서울특별시 강북구 미아동 35번지 22호 지상2층서울특별시 강북구 도봉로 38, 2층 (미아동)1220으뜸50안경2018-10-22 09:26:11U2018-10-24 02:35:50.0<NA>202621.016977456666.4070871101111122157.89
873080000PHMB22019308003308220000120190703<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강북구 우이동 71번지 5호서울특별시 강북구 삼양로139가길 48, 2층 (우이동)1009부라더스2019-07-03 15:50:29I2019-07-05 02:21:29.0<NA>201002.332123460995.28176211111111115.0
883080000PHMB22019308003308220000220190711<NA>1영업/정상13영업중<NA><NA><NA><NA>02-998-5055<NA><NA>서울특별시 강북구 수유동 229번지 14호서울특별시 강북구 도봉로 327, 2층 (수유동)1073으뜸50안경2020-07-13 14:56:25U2020-07-15 02:40:00.0<NA>202103.482834459451.31734311111111135.0
893080000PHMB22020308003308220000120200713<NA>1영업/정상13영업중<NA><NA><NA><NA>02-906-1001<NA><NA><NA>서울특별시 강북구 삼양로 589 (우이동)1006우리들안경2020-07-14 08:23:33I2020-07-16 00:23:16.0<NA>201069.055701461479.3768861<NA><NA>21<NA><NA><NA><NA>33.0
903080000PHMB22020308003308220000220200716<NA>1영업/정상13영업중<NA><NA><NA><NA>02-981-1001<NA><NA><NA>서울특별시 강북구 솔샘로 249-1 (미아동)1189바이준안경원2020-07-17 17:59:03I2020-07-19 00:23:15.0<NA>201738.132955457496.541711<NA><NA>22<NA><NA><NA><NA>66.11
913080000PHMB22021308003308220000120210429<NA>1영업/정상13영업중<NA><NA><NA><NA>02-991-2223<NA><NA>서울특별시 강북구 수유동 191-16서울특별시 강북구 도봉로 341, 2층 (수유동)1074으뜸플러스안경 수유점2021-04-29 16:08:45I2021-05-01 00:23:12.0<NA>202189.124742459553.6495431<NA><NA>11<NA><NA><NA><NA>1.0