Overview

Dataset statistics

Number of variables35
Number of observations118
Missing cells717
Missing cells (%)17.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory35.0 KiB
Average record size in memory304.1 B

Variable types

Categorical17
Text5
DateTime4
Numeric6
Unsupported3

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
Author종로구
URLhttps://data.seoul.go.kr/dataList/OA-16003/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
휴업시작일자 is highly imbalanced (92.9%)Imbalance
휴업종료일자 is highly imbalanced (92.9%)Imbalance
시력표수 is highly imbalanced (58.1%)Imbalance
표본렌즈수 is highly imbalanced (67.6%)Imbalance
측정의자수 is highly imbalanced (65.8%)Imbalance
동공거리측정기수 is highly imbalanced (70.7%)Imbalance
정점굴절계기수 is highly imbalanced (70.7%)Imbalance
조제용연마기수 is highly imbalanced (63.2%)Imbalance
렌즈절단기수 is highly imbalanced (64.5%)Imbalance
가열기수 is highly imbalanced (57.6%)Imbalance
안경세척기수 is highly imbalanced (64.2%)Imbalance
인허가취소일자 has 78 (66.1%) missing valuesMissing
폐업일자 has 61 (51.7%) missing valuesMissing
재개업일자 has 118 (100.0%) missing valuesMissing
전화번호 has 18 (15.3%) missing valuesMissing
소재지면적 has 118 (100.0%) missing valuesMissing
소재지우편번호 has 69 (58.5%) missing valuesMissing
지번주소 has 6 (5.1%) missing valuesMissing
도로명주소 has 12 (10.2%) missing valuesMissing
도로명우편번호 has 22 (18.6%) missing valuesMissing
업태구분명 has 118 (100.0%) missing valuesMissing
좌표정보(X) has 11 (9.3%) missing valuesMissing
좌표정보(Y) has 11 (9.3%) missing valuesMissing
총면적 has 75 (63.6%) missing valuesMissing
관리번호 has unique valuesUnique
최종수정일자 has unique valuesUnique
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 3 (2.5%) zerosZeros

Reproduction

Analysis started2024-04-29 18:48:11.686245
Analysis finished2024-04-29 18:48:12.486049
Duration0.8 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
3000000
118 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3000000
2nd row3000000
3rd row3000000
4th row3000000
5th row3000000

Common Values

ValueCountFrequency (%)
3000000 118
100.0%

Length

2024-04-30T03:48:12.552642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:48:12.627132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3000000 118
100.0%

관리번호
Text

UNIQUE 

Distinct118
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-04-30T03:48:12.766732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters2950
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

Unique118 ?
Unique (%)100.0%

Sample

1st rowPHMB219903000034082200001
2nd rowPHMB219903000034082200002
3rd rowPHMB219903000034082200003
4th rowPHMB219903000034082200004
5th rowPHMB219913000034082200001
ValueCountFrequency (%)
phmb219903000034082200001 1
 
0.8%
phmb220103000034082200002 1
 
0.8%
phmb220133000034082200004 1
 
0.8%
phmb220133000034082200003 1
 
0.8%
phmb220133000034082200002 1
 
0.8%
phmb220133000034082200001 1
 
0.8%
phmb220123000034082200002 1
 
0.8%
phmb220123000034082200001 1
 
0.8%
phmb220113000034082200005 1
 
0.8%
phmb220113000034082200004 1
 
0.8%
Other values (108) 108
91.5%
2024-04-30T03:48:13.080596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1184
40.1%
2 483
16.4%
3 269
 
9.1%
1 145
 
4.9%
4 139
 
4.7%
8 127
 
4.3%
P 118
 
4.0%
H 118
 
4.0%
M 118
 
4.0%
B 118
 
4.0%
Other values (4) 131
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2478
84.0%
Uppercase Letter 472
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1184
47.8%
2 483
19.5%
3 269
 
10.9%
1 145
 
5.9%
4 139
 
5.6%
8 127
 
5.1%
9 81
 
3.3%
5 18
 
0.7%
6 18
 
0.7%
7 14
 
0.6%
Uppercase Letter
ValueCountFrequency (%)
P 118
25.0%
H 118
25.0%
M 118
25.0%
B 118
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2478
84.0%
Latin 472
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1184
47.8%
2 483
19.5%
3 269
 
10.9%
1 145
 
5.9%
4 139
 
5.6%
8 127
 
5.1%
9 81
 
3.3%
5 18
 
0.7%
6 18
 
0.7%
7 14
 
0.6%
Latin
ValueCountFrequency (%)
P 118
25.0%
H 118
25.0%
M 118
25.0%
B 118
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2950
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1184
40.1%
2 483
16.4%
3 269
 
9.1%
1 145
 
4.9%
4 139
 
4.7%
8 127
 
4.3%
P 118
 
4.0%
H 118
 
4.0%
M 118
 
4.0%
B 118
 
4.0%
Other values (4) 131
 
4.4%

인허가일자
Date

Distinct110
Distinct (%)93.2%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Minimum1990-11-13 00:00:00
Maximum2022-10-06 00:00:00
2024-04-30T03:48:13.205232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T03:48:13.325767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Real number (ℝ)

MISSING 

Distinct39
Distinct (%)97.5%
Missing78
Missing (%)66.1%
Infinite0
Infinite (%)0.0%
Mean20136545
Minimum20090209
Maximum20181005
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-04-30T03:48:13.432296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20090209
5-th percentile20090600
Q120107856
median20131121
Q320170396
95-th percentile20180912
Maximum20181005
Range90796
Interquartile range (IQR)62540.5

Descriptive statistics

Standard deviation32717.416
Coefficient of variation (CV)0.0016247781
Kurtosis-1.4498181
Mean20136545
Median Absolute Deviation (MAD)30161
Skewness-0.055893453
Sum8.0546178 × 108
Variance1.0704293 × 109
MonotonicityNot monotonic
2024-04-30T03:48:13.537775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
20131121 2
 
1.7%
20181005 1
 
0.8%
20180912 1
 
0.8%
20090604 1
 
0.8%
20091231 1
 
0.8%
20171012 1
 
0.8%
20090515 1
 
0.8%
20161028 1
 
0.8%
20100805 1
 
0.8%
20100121 1
 
0.8%
Other values (29) 29
 
24.6%
(Missing) 78
66.1%
ValueCountFrequency (%)
20090209 1
0.8%
20090515 1
0.8%
20090604 1
0.8%
20090717 1
0.8%
20090810 1
0.8%
20090812 1
0.8%
20091231 1
0.8%
20100121 1
0.8%
20100805 1
0.8%
20101115 1
0.8%
ValueCountFrequency (%)
20181005 1
0.8%
20180918 1
0.8%
20180912 1
0.8%
20180904 1
0.8%
20180720 1
0.8%
20180608 1
0.8%
20171012 1
0.8%
20170712 1
0.8%
20170627 1
0.8%
20170620 1
0.8%

영업상태코드
Categorical

Distinct4
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
1
60 
3
54 
4
 
3
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
1 60
50.8%
3 54
45.8%
4 3
 
2.5%
2 1
 
0.8%

Length

2024-04-30T03:48:13.642973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:48:13.724451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 60
50.8%
3 54
45.8%
4 3
 
2.5%
2 1
 
0.8%

영업상태명
Categorical

Distinct4
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
영업/정상
60 
폐업
54 
취소/말소/만료/정지/중지
 
3
휴업
 
1

Length

Max length14
Median length5
Mean length3.8305085
Min length2

Unique

Unique1 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 60
50.8%
폐업 54
45.8%
취소/말소/만료/정지/중지 3
 
2.5%
휴업 1
 
0.8%

Length

2024-04-30T03:48:13.817065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:48:13.914230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 60
50.8%
폐업 54
45.8%
취소/말소/만료/정지/중지 3
 
2.5%
휴업 1
 
0.8%

상세영업상태코드
Categorical

Distinct4
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
13
60 
3
54 
24
 
3
2
 
1

Length

Max length2
Median length2
Mean length1.5338983
Min length1

Unique

Unique1 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
13 60
50.8%
3 54
45.8%
24 3
 
2.5%
2 1
 
0.8%

Length

2024-04-30T03:48:14.021552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:48:14.103246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 60
50.8%
3 54
45.8%
24 3
 
2.5%
2 1
 
0.8%

상세영업상태명
Categorical

Distinct4
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
영업중
60 
폐업
54 
직권폐업
 
3
휴업
 
1

Length

Max length4
Median length3
Mean length2.559322
Min length2

Unique

Unique1 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 60
50.8%
폐업 54
45.8%
직권폐업 3
 
2.5%
휴업 1
 
0.8%

Length

2024-04-30T03:48:14.215214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:48:14.305084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 60
50.8%
폐업 54
45.8%
직권폐업 3
 
2.5%
휴업 1
 
0.8%

폐업일자
Date

MISSING 

Distinct57
Distinct (%)100.0%
Missing61
Missing (%)51.7%
Memory size1.1 KiB
Minimum2008-09-05 00:00:00
Maximum2024-04-11 00:00:00
2024-04-30T03:48:14.408401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T03:48:14.527127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
117 
20190228
 
1

Length

Max length8
Median length4
Mean length4.0338983
Min length4

Unique

Unique1 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 117
99.2%
20190228 1
 
0.8%

Length

2024-04-30T03:48:14.643797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:48:14.726340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 117
99.2%
20190228 1
 
0.8%

휴업종료일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
117 
20200228
 
1

Length

Max length8
Median length4
Mean length4.0338983
Min length4

Unique

Unique1 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 117
99.2%
20200228 1
 
0.8%

Length

2024-04-30T03:48:14.832197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:48:14.945288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 117
99.2%
20200228 1
 
0.8%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing118
Missing (%)100.0%
Memory size1.2 KiB

전화번호
Text

MISSING 

Distinct98
Distinct (%)98.0%
Missing18
Missing (%)15.3%
Memory size1.1 KiB
2024-04-30T03:48:15.129890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length11
Mean length11.1
Min length8

Characters and Unicode

Total characters1110
Distinct characters14
Distinct categories5 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique97 ?
Unique (%)97.0%

Sample

1st row02-743-4280
2nd row02-737-1393
3rd row02-742-0976
4th row02-762-4012
5th row02-2273-4828
ValueCountFrequency (%)
02-723-7232 3
 
3.0%
02-763-4101 1
 
1.0%
02-766-1017 1
 
1.0%
02)742-0230 1
 
1.0%
02-722-2266 1
 
1.0%
745-9785 1
 
1.0%
02-732-1001 1
 
1.0%
02-722-0990 1
 
1.0%
02-855-3023 1
 
1.0%
02-754-7564 1
 
1.0%
Other values (88) 88
88.0%
2024-04-30T03:48:15.453432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 191
17.2%
2 190
17.1%
0 170
15.3%
7 138
12.4%
3 99
8.9%
4 66
 
5.9%
6 59
 
5.3%
5 53
 
4.8%
1 52
 
4.7%
9 46
 
4.1%
Other values (4) 46
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 916
82.5%
Dash Punctuation 191
 
17.2%
Other Punctuation 1
 
0.1%
Math Symbol 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 190
20.7%
0 170
18.6%
7 138
15.1%
3 99
10.8%
4 66
 
7.2%
6 59
 
6.4%
5 53
 
5.8%
1 52
 
5.7%
9 46
 
5.0%
8 43
 
4.7%
Dash Punctuation
ValueCountFrequency (%)
- 191
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1110
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 191
17.2%
2 190
17.1%
0 170
15.3%
7 138
12.4%
3 99
8.9%
4 66
 
5.9%
6 59
 
5.3%
5 53
 
4.8%
1 52
 
4.7%
9 46
 
4.1%
Other values (4) 46
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1110
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 191
17.2%
2 190
17.1%
0 170
15.3%
7 138
12.4%
3 99
8.9%
4 66
 
5.9%
6 59
 
5.3%
5 53
 
4.8%
1 52
 
4.7%
9 46
 
4.1%
Other values (4) 46
 
4.1%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing118
Missing (%)100.0%
Memory size1.2 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct38
Distinct (%)77.6%
Missing69
Missing (%)58.5%
Infinite0
Infinite (%)0.0%
Mean111096.14
Minimum110054
Maximum136817
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-04-30T03:48:15.584076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum110054
5-th percentile110094
Q1110320
median110714
Q3110827
95-th percentile110855
Maximum136817
Range26763
Interquartile range (IQR)507

Descriptive statistics

Standard deviation3762.1308
Coefficient of variation (CV)0.033863739
Kurtosis48.383778
Mean111096.14
Median Absolute Deviation (MAD)141
Skewness6.9348961
Sum5443711
Variance14153628
MonotonicityNot monotonic
2024-04-30T03:48:15.709447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
110122 5
 
4.2%
110522 3
 
2.5%
110714 3
 
2.5%
110855 2
 
1.7%
110843 2
 
1.7%
110850 2
 
1.7%
110829 1
 
0.8%
110793 1
 
0.8%
110827 1
 
0.8%
110123 1
 
0.8%
Other values (28) 28
23.7%
(Missing) 69
58.5%
ValueCountFrequency (%)
110054 1
 
0.8%
110061 1
 
0.8%
110090 1
 
0.8%
110100 1
 
0.8%
110121 1
 
0.8%
110122 5
4.2%
110123 1
 
0.8%
110300 1
 
0.8%
110320 1
 
0.8%
110340 1
 
0.8%
ValueCountFrequency (%)
136817 1
0.8%
110888 1
0.8%
110855 2
1.7%
110854 1
0.8%
110850 2
1.7%
110847 1
0.8%
110843 2
1.7%
110836 1
0.8%
110829 1
0.8%
110827 1
0.8%

지번주소
Text

MISSING 

Distinct111
Distinct (%)99.1%
Missing6
Missing (%)5.1%
Memory size1.1 KiB
2024-04-30T03:48:15.990587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length34
Mean length25.732143
Min length6

Characters and Unicode

Total characters2882
Distinct characters174
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

Unique110 ?
Unique (%)98.2%

Sample

1st row효제동298-1
2nd row서울특별시 종로구 통인동 119번지 1호
3rd row서울특별시 종로구 낙원동 211번지
4th row서울특별시 종로구 명륜2가 19번지
5th row서울특별시 종로구 익선동 142번지 1호 13통 1반
ValueCountFrequency (%)
서울특별시 103
 
17.0%
종로구 102
 
16.8%
1층 16
 
2.6%
1호 14
 
2.3%
지하1층 11
 
1.8%
종로2가 9
 
1.5%
명륜2가 8
 
1.3%
종로1가 7
 
1.2%
창신동 7
 
1.2%
종로5가 7
 
1.2%
Other values (238) 322
53.1%
2024-04-30T03:48:16.417363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
496
 
17.2%
1 148
 
5.1%
로 145
 
5.0%
종 142
 
4.9%
지 119
 
4.1%
서 108
 
3.7%
시 105
 
3.6%
울 105
 
3.6%
특 103
 
3.6%
별 103
 
3.6%
Other values (164) 1308
45.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1849
64.2%
Decimal Number 514
 
17.8%
Space Separator 496
 
17.2%
Dash Punctuation 10
 
0.3%
Other Punctuation 6
 
0.2%
Uppercase Letter 3
 
0.1%
Math Symbol 2
 
0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 145
 
7.8%
종 142
 
7.7%
지 119
 
6.4%
서 108
 
5.8%
시 105
 
5.7%
울 105
 
5.7%
특 103
 
5.6%
별 103
 
5.6%
구 103
 
5.6%
번 90
 
4.9%
Other values (146) 726
39.3%
Decimal Number
ValueCountFrequency (%)
1 148
28.8%
2 93
18.1%
3 54
 
10.5%
5 37
 
7.2%
4 37
 
7.2%
6 36
 
7.0%
8 35
 
6.8%
0 31
 
6.0%
7 25
 
4.9%
9 18
 
3.5%
Uppercase Letter
ValueCountFrequency (%)
A 2
66.7%
B 1
33.3%
Space Separator
ValueCountFrequency (%)
496
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%
Other Punctuation
ValueCountFrequency (%)
, 6
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1849
64.2%
Common 1030
35.7%
Latin 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 145
 
7.8%
종 142
 
7.7%
지 119
 
6.4%
서 108
 
5.8%
시 105
 
5.7%
울 105
 
5.7%
특 103
 
5.6%
별 103
 
5.6%
구 103
 
5.6%
번 90
 
4.9%
Other values (146) 726
39.3%
Common
ValueCountFrequency (%)
496
48.2%
1 148
 
14.4%
2 93
 
9.0%
3 54
 
5.2%
5 37
 
3.6%
4 37
 
3.6%
6 36
 
3.5%
8 35
 
3.4%
0 31
 
3.0%
7 25
 
2.4%
Other values (6) 38
 
3.7%
Latin
ValueCountFrequency (%)
A 2
66.7%
B 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1849
64.2%
ASCII 1033
35.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
496
48.0%
1 148
 
14.3%
2 93
 
9.0%
3 54
 
5.2%
5 37
 
3.6%
4 37
 
3.6%
6 36
 
3.5%
8 35
 
3.4%
0 31
 
3.0%
7 25
 
2.4%
Other values (8) 41
 
4.0%
Hangul
ValueCountFrequency (%)
로 145
 
7.8%
종 142
 
7.7%
지 119
 
6.4%
서 108
 
5.8%
시 105
 
5.7%
울 105
 
5.7%
특 103
 
5.6%
별 103
 
5.6%
구 103
 
5.6%
번 90
 
4.9%
Other values (146) 726
39.3%

도로명주소
Text

MISSING 

Distinct104
Distinct (%)98.1%
Missing12
Missing (%)10.2%
Memory size1.1 KiB
2024-04-30T03:48:16.641730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length41
Mean length31.839623
Min length20

Characters and Unicode

Total characters3375
Distinct characters181
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

Unique102 ?
Unique (%)96.2%

Sample

1st row서울특별시 종로구 자하문로 41 (통인동)
2nd row서울특별시 종로구 수표로 115-1, 1층 1호 (낙원동)
3rd row서울특별시 종로구 창경궁로34길 14 (명륜2가)
4th row서울특별시 종로구 돈화문로11나길 31-13 (익선동)
5th row서울특별시 종로구 종로 252 (종로5가)
ValueCountFrequency (%)
서울특별시 106
 
15.8%
종로구 104
 
15.5%
종로 32
 
4.8%
1층 22
 
3.3%
지하1층 10
 
1.5%
명륜2가 10
 
1.5%
창신동 9
 
1.3%
종로2가 8
 
1.2%
숭인동 6
 
0.9%
종로5가 6
 
0.9%
Other values (249) 356
53.2%
2024-04-30T03:48:17.005571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
565
 
16.7%
로 229
 
6.8%
종 178
 
5.3%
1 135
 
4.0%
서 112
 
3.3%
울 110
 
3.3%
, 109
 
3.2%
시 108
 
3.2%
) 107
 
3.2%
특 106
 
3.1%
Other values (171) 1616
47.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1965
58.2%
Space Separator 565
 
16.7%
Decimal Number 490
 
14.5%
Other Punctuation 109
 
3.2%
Close Punctuation 107
 
3.2%
Open Punctuation 106
 
3.1%
Dash Punctuation 26
 
0.8%
Uppercase Letter 6
 
0.2%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 229
 
11.7%
종 178
 
9.1%
서 112
 
5.7%
울 110
 
5.6%
시 108
 
5.5%
특 106
 
5.4%
별 106
 
5.4%
구 105
 
5.3%
동 84
 
4.3%
층 46
 
2.3%
Other values (153) 781
39.7%
Decimal Number
ValueCountFrequency (%)
1 135
27.6%
2 93
19.0%
3 60
12.2%
5 37
 
7.6%
4 36
 
7.3%
0 29
 
5.9%
8 27
 
5.5%
6 26
 
5.3%
7 25
 
5.1%
9 22
 
4.5%
Uppercase Letter
ValueCountFrequency (%)
A 4
66.7%
B 2
33.3%
Space Separator
ValueCountFrequency (%)
565
100.0%
Other Punctuation
ValueCountFrequency (%)
, 109
100.0%
Close Punctuation
ValueCountFrequency (%)
) 107
100.0%
Open Punctuation
ValueCountFrequency (%)
( 106
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 26
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1965
58.2%
Common 1404
41.6%
Latin 6
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 229
 
11.7%
종 178
 
9.1%
서 112
 
5.7%
울 110
 
5.6%
시 108
 
5.5%
특 106
 
5.4%
별 106
 
5.4%
구 105
 
5.3%
동 84
 
4.3%
층 46
 
2.3%
Other values (153) 781
39.7%
Common
ValueCountFrequency (%)
565
40.2%
1 135
 
9.6%
, 109
 
7.8%
) 107
 
7.6%
( 106
 
7.5%
2 93
 
6.6%
3 60
 
4.3%
5 37
 
2.6%
4 36
 
2.6%
0 29
 
2.1%
Other values (6) 127
 
9.0%
Latin
ValueCountFrequency (%)
A 4
66.7%
B 2
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1965
58.2%
ASCII 1410
41.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
565
40.1%
1 135
 
9.6%
, 109
 
7.7%
) 107
 
7.6%
( 106
 
7.5%
2 93
 
6.6%
3 60
 
4.3%
5 37
 
2.6%
4 36
 
2.6%
0 29
 
2.1%
Other values (8) 133
 
9.4%
Hangul
ValueCountFrequency (%)
로 229
 
11.7%
종 178
 
9.1%
서 112
 
5.7%
울 110
 
5.6%
시 108
 
5.5%
특 106
 
5.4%
별 106
 
5.4%
구 105
 
5.3%
동 84
 
4.3%
층 46
 
2.3%
Other values (153) 781
39.7%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct63
Distinct (%)65.6%
Missing22
Missing (%)18.6%
Infinite0
Infinite (%)0.0%
Mean7604.7292
Minimum3011
Maximum110847
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-04-30T03:48:17.140956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3011
5-th percentile3035.5
Q13077.75
median3135
Q33174
95-th percentile3198
Maximum110847
Range107836
Interquartile range (IQR)96.25

Descriptive statistics

Standard deviation21598.474
Coefficient of variation (CV)2.8401372
Kurtosis20.13962
Mean7604.7292
Median Absolute Deviation (MAD)51
Skewness4.6604756
Sum730054
Variance4.664941 × 108
MonotonicityNot monotonic
2024-04-30T03:48:17.436198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3077 6
 
5.1%
3174 4
 
3.4%
3196 4
 
3.4%
3074 4
 
3.4%
3190 3
 
2.5%
3189 3
 
2.5%
3164 3
 
2.5%
3154 3
 
2.5%
3150 2
 
1.7%
3188 2
 
1.7%
Other values (53) 62
52.5%
(Missing) 22
 
18.6%
ValueCountFrequency (%)
3011 1
0.8%
3016 1
0.8%
3030 2
1.7%
3034 1
0.8%
3036 1
0.8%
3041 1
0.8%
3053 1
0.8%
3054 1
0.8%
3058 1
0.8%
3059 1
0.8%
ValueCountFrequency (%)
110847 1
 
0.8%
110827 1
 
0.8%
110788 1
 
0.8%
110121 1
 
0.8%
3198 2
1.7%
3196 4
3.4%
3193 1
 
0.8%
3192 1
 
0.8%
3190 3
2.5%
3189 3
2.5%

사업장명
Text

Distinct112
Distinct (%)94.9%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-04-30T03:48:17.658299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length11
Mean length6.4576271
Min length3

Characters and Unicode

Total characters762
Distinct characters180
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

Unique107 ?
Unique (%)90.7%

Sample

1st row효제서독안경원
2nd row독일안경콘택트
3rd row우주안경원
4th row혜화안경
5th row광명당안경
ValueCountFrequency (%)
명성안경 3
 
2.3%
대학로점 3
 
2.3%
경희궁마인즈아이 2
 
1.6%
안경이야기 2
 
1.6%
동문안경원 2
 
1.6%
닥터글라스안경콘택트 2
 
1.6%
렌즈미 2
 
1.6%
으뜸50안경 2
 
1.6%
룩옵티컬 2
 
1.6%
글라스스토리 1
 
0.8%
Other values (108) 108
83.7%
2024-04-30T03:48:18.054680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
경 97
 
12.7%
안 94
 
12.3%
원 30
 
3.9%
이 21
 
2.8%
트 19
 
2.5%
점 18
 
2.4%
아 17
 
2.2%
로 16
 
2.1%
콘 15
 
2.0%
택 15
 
2.0%
Other values (170) 420
55.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 708
92.9%
Uppercase Letter 20
 
2.6%
Space Separator 11
 
1.4%
Decimal Number 6
 
0.8%
Lowercase Letter 6
 
0.8%
Close Punctuation 3
 
0.4%
Open Punctuation 3
 
0.4%
Other Punctuation 3
 
0.4%
Dash Punctuation 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 97
 
13.7%
안 94
 
13.3%
원 30
 
4.2%
이 21
 
3.0%
트 19
 
2.7%
점 18
 
2.5%
아 17
 
2.4%
로 16
 
2.3%
콘 15
 
2.1%
택 15
 
2.1%
Other values (147) 366
51.7%
Uppercase Letter
ValueCountFrequency (%)
A 4
20.0%
O 4
20.0%
L 3
15.0%
K 2
10.0%
N 2
10.0%
D 1
 
5.0%
R 1
 
5.0%
B 1
 
5.0%
I 1
 
5.0%
P 1
 
5.0%
Lowercase Letter
ValueCountFrequency (%)
e 2
33.3%
o 1
16.7%
l 1
16.7%
s 1
16.7%
n 1
16.7%
Decimal Number
ValueCountFrequency (%)
5 3
50.0%
0 3
50.0%
Other Punctuation
ValueCountFrequency (%)
. 2
66.7%
, 1
33.3%
Space Separator
ValueCountFrequency (%)
11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 708
92.9%
Common 28
 
3.7%
Latin 26
 
3.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 97
 
13.7%
안 94
 
13.3%
원 30
 
4.2%
이 21
 
3.0%
트 19
 
2.7%
점 18
 
2.5%
아 17
 
2.4%
로 16
 
2.3%
콘 15
 
2.1%
택 15
 
2.1%
Other values (147) 366
51.7%
Latin
ValueCountFrequency (%)
A 4
15.4%
O 4
15.4%
L 3
11.5%
e 2
 
7.7%
K 2
 
7.7%
N 2
 
7.7%
D 1
 
3.8%
R 1
 
3.8%
B 1
 
3.8%
I 1
 
3.8%
Other values (5) 5
19.2%
Common
ValueCountFrequency (%)
11
39.3%
) 3
 
10.7%
5 3
 
10.7%
0 3
 
10.7%
( 3
 
10.7%
- 2
 
7.1%
. 2
 
7.1%
, 1
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 708
92.9%
ASCII 54
 
7.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
경 97
 
13.7%
안 94
 
13.3%
원 30
 
4.2%
이 21
 
3.0%
트 19
 
2.7%
점 18
 
2.5%
아 17
 
2.4%
로 16
 
2.3%
콘 15
 
2.1%
택 15
 
2.1%
Other values (147) 366
51.7%
ASCII
ValueCountFrequency (%)
11
20.4%
A 4
 
7.4%
O 4
 
7.4%
) 3
 
5.6%
5 3
 
5.6%
0 3
 
5.6%
( 3
 
5.6%
L 3
 
5.6%
e 2
 
3.7%
- 2
 
3.7%
Other values (13) 16
29.6%

최종수정일자
Date

UNIQUE 

Distinct118
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Minimum2009-02-09 17:46:48
Maximum2024-04-11 14:30:53
2024-04-30T03:48:18.176030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T03:48:18.286010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
I
78 
U
40 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 78
66.1%
U 40
33.9%

Length

2024-04-30T03:48:18.394337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:48:18.493880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 78
66.1%
u 40
33.9%

데이터갱신일자
Date

Distinct43
Distinct (%)36.4%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-03 23:03:00
2024-04-30T03:48:18.574785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T03:48:18.691486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing118
Missing (%)100.0%
Memory size1.2 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct93
Distinct (%)86.9%
Missing11
Missing (%)9.3%
Infinite0
Infinite (%)0.0%
Mean199209.51
Minimum196206.1
Maximum205684.68
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-04-30T03:48:18.821604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum196206.1
5-th percentile196991.78
Q1198177.76
median198817.29
Q3200121.81
95-th percentile201526.06
Maximum205684.68
Range9478.5812
Interquartile range (IQR)1944.0509

Descriptive statistics

Standard deviation1529.9474
Coefficient of variation (CV)0.0076800923
Kurtosis1.6710184
Mean199209.51
Median Absolute Deviation (MAD)1167.9683
Skewness0.65992274
Sum21315417
Variance2340739
MonotonicityNot monotonic
2024-04-30T03:48:18.937681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
197465.223921125 4
 
3.4%
200132.655350103 3
 
2.5%
198150.300374121 3
 
2.5%
198324.653631679 2
 
1.7%
197993.904628438 2
 
1.7%
200121.813720325 2
 
1.7%
201223.533789596 2
 
1.7%
201350.473375538 2
 
1.7%
200764.419989234 2
 
1.7%
200853.975051125 2
 
1.7%
Other values (83) 83
70.3%
(Missing) 11
 
9.3%
ValueCountFrequency (%)
196206.103393952 1
0.8%
196392.222413539 1
0.8%
196535.876175719 1
0.8%
196648.642816967 1
0.8%
196790.337498006 1
0.8%
196978.508880243 1
0.8%
197022.745092237 1
0.8%
197181.393301659 1
0.8%
197212.364862058 1
0.8%
197377.554325739 1
0.8%
ValueCountFrequency (%)
205684.684609466 1
0.8%
201869.556085302 1
0.8%
201798.834918812 1
0.8%
201781.066324584 1
0.8%
201653.470133556 1
0.8%
201601.315608628 1
0.8%
201350.473375538 2
1.7%
201294.370924464 1
0.8%
201265.62395431 1
0.8%
201223.533789596 2
1.7%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct93
Distinct (%)86.9%
Missing11
Missing (%)9.3%
Infinite0
Infinite (%)0.0%
Mean452653.77
Minimum451897.83
Maximum457060.22
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-04-30T03:48:19.049745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum451897.83
5-th percentile451961.11
Q1452037.74
median452304.75
Q3453012.86
95-th percentile453710.11
Maximum457060.22
Range5162.3901
Interquartile range (IQR)975.11725

Descriptive statistics

Standard deviation940.74319
Coefficient of variation (CV)0.0020782842
Kurtosis8.5309417
Mean452653.77
Median Absolute Deviation (MAD)289.12079
Skewness2.6351474
Sum48433953
Variance884997.76
MonotonicityNot monotonic
2024-04-30T03:48:19.190947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
452366.613899898 4
 
3.4%
451961.427938307 3
 
2.5%
452019.212642931 3
 
2.5%
452252.812389497 2
 
1.7%
452032.958591394 2
 
1.7%
453518.007319338 2
 
1.7%
452304.752922139 2
 
1.7%
452279.7442603 2
 
1.7%
452037.738088906 2
 
1.7%
452530.812892124 2
 
1.7%
Other values (83) 83
70.3%
(Missing) 11
 
9.3%
ValueCountFrequency (%)
451897.834324531 1
 
0.8%
451901.406014861 1
 
0.8%
451921.60302604 1
 
0.8%
451938.037709964 1
 
0.8%
451950.125134119 1
 
0.8%
451960.972726138 1
 
0.8%
451961.427938307 3
2.5%
451962.306911298 1
 
0.8%
451962.484078847 1
 
0.8%
451962.68240104 1
 
0.8%
ValueCountFrequency (%)
457060.224383785 1
0.8%
456699.705815037 1
0.8%
456055.205802855 1
0.8%
455906.480930496 1
0.8%
453885.695458222 1
0.8%
453721.462706742 1
0.8%
453683.614613193 1
0.8%
453617.342073669 1
0.8%
453610.610906535 1
0.8%
453601.455343178 1
0.8%

시력표수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
1
108 
<NA>
 
10

Length

Max length4
Median length1
Mean length1.2542373
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 108
91.5%
<NA> 10
 
8.5%

Length

2024-04-30T03:48:19.321389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:48:19.413712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 108
91.5%
na 10
 
8.5%

표본렌즈수
Categorical

IMBALANCE 

Distinct5
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
1
102 
<NA>
11 
0
 
3
2
 
1
15
 
1

Length

Max length4
Median length1
Mean length1.2881356
Min length1

Unique

Unique2 ?
Unique (%)1.7%

Sample

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

Common Values

ValueCountFrequency (%)
1 102
86.4%
<NA> 11
 
9.3%
0 3
 
2.5%
2 1
 
0.8%
15 1
 
0.8%

Length

2024-04-30T03:48:19.499722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:48:19.601937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 102
86.4%
na 11
 
9.3%
0 3
 
2.5%
2 1
 
0.8%
15 1
 
0.8%

측정의자수
Categorical

IMBALANCE 

Distinct4
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
1
103 
<NA>
11 
0
 
3
2
 
1

Length

Max length4
Median length1
Mean length1.279661
Min length1

Unique

Unique1 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
1 103
87.3%
<NA> 11
 
9.3%
0 3
 
2.5%
2 1
 
0.8%

Length

2024-04-30T03:48:19.718658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:48:19.807982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 103
87.3%
na 11
 
9.3%
0 3
 
2.5%
2 1
 
0.8%

동공거리측정기수
Categorical

IMBALANCE 

Distinct4
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
1
105 
<NA>
11 
7
 
1
0
 
1

Length

Max length4
Median length1
Mean length1.279661
Min length1

Unique

Unique2 ?
Unique (%)1.7%

Sample

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

Common Values

ValueCountFrequency (%)
1 105
89.0%
<NA> 11
 
9.3%
7 1
 
0.8%
0 1
 
0.8%

Length

2024-04-30T03:48:19.897013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:48:20.000419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 105
89.0%
na 11
 
9.3%
7 1
 
0.8%
0 1
 
0.8%

정점굴절계기수
Categorical

IMBALANCE 

Distinct4
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
1
105 
<NA>
11 
5
 
1
2
 
1

Length

Max length4
Median length1
Mean length1.279661
Min length1

Unique

Unique2 ?
Unique (%)1.7%

Sample

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

Common Values

ValueCountFrequency (%)
1 105
89.0%
<NA> 11
 
9.3%
5 1
 
0.8%
2 1
 
0.8%

Length

2024-04-30T03:48:20.099527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:48:20.207899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 105
89.0%
na 11
 
9.3%
5 1
 
0.8%
2 1
 
0.8%

조제용연마기수
Categorical

IMBALANCE 

Distinct4
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
1
102 
<NA>
11 
0
 
3
2
 
2

Length

Max length4
Median length1
Mean length1.279661
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 102
86.4%
<NA> 11
 
9.3%
0 3
 
2.5%
2 2
 
1.7%

Length

2024-04-30T03:48:20.318377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:48:20.412226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 102
86.4%
na 11
 
9.3%
0 3
 
2.5%
2 2
 
1.7%

렌즈절단기수
Categorical

IMBALANCE 

Distinct4
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
1
102 
<NA>
12 
0
 
3
2
 
1

Length

Max length4
Median length1
Mean length1.3050847
Min length1

Unique

Unique1 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
1 102
86.4%
<NA> 12
 
10.2%
0 3
 
2.5%
2 1
 
0.8%

Length

2024-04-30T03:48:20.520252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:48:20.605637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 102
86.4%
na 12
 
10.2%
0 3
 
2.5%
2 1
 
0.8%

가열기수
Categorical

IMBALANCE 

Distinct4
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
1
99 
<NA>
12 
2
 
4
0
 
3

Length

Max length4
Median length1
Mean length1.3050847
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 99
83.9%
<NA> 12
 
10.2%
2 4
 
3.4%
0 3
 
2.5%

Length

2024-04-30T03:48:20.713883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:48:20.811830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 99
83.9%
na 12
 
10.2%
2 4
 
3.4%
0 3
 
2.5%

안경세척기수
Categorical

IMBALANCE 

Distinct5
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
1
100 
<NA>
12 
0
 
3
2
 
2
3
 
1

Length

Max length4
Median length1
Mean length1.3050847
Min length1

Unique

Unique1 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
1 100
84.7%
<NA> 12
 
10.2%
0 3
 
2.5%
2 2
 
1.7%
3 1
 
0.8%

Length

2024-04-30T03:48:20.920384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:48:21.004058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 100
84.7%
na 12
 
10.2%
0 3
 
2.5%
2 2
 
1.7%
3 1
 
0.8%

총면적
Real number (ℝ)

MISSING  ZEROS 

Distinct40
Distinct (%)93.0%
Missing75
Missing (%)63.6%
Infinite0
Infinite (%)0.0%
Mean46.256512
Minimum0
Maximum280.16
Zeros3
Zeros (%)2.5%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-04-30T03:48:21.091568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.825
Q119.9
median34.06
Q353.935
95-th percentile110.638
Maximum280.16
Range280.16
Interquartile range (IQR)34.035

Descriptive statistics

Standard deviation48.84846
Coefficient of variation (CV)1.0560342
Kurtosis12.712989
Mean46.256512
Median Absolute Deviation (MAD)16.42
Skewness3.1502446
Sum1989.03
Variance2386.1721
MonotonicityNot monotonic
2024-04-30T03:48:21.200467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
0.0 3
 
2.5%
49.5 2
 
1.7%
39.66 1
 
0.8%
16.41 1
 
0.8%
44.69 1
 
0.8%
8.25 1
 
0.8%
16.97 1
 
0.8%
23.83 1
 
0.8%
61.14 1
 
0.8%
47.89 1
 
0.8%
Other values (30) 30
 
25.4%
(Missing) 75
63.6%
ValueCountFrequency (%)
0.0 3
2.5%
8.25 1
 
0.8%
12.65 1
 
0.8%
15.0 1
 
0.8%
16.17 1
 
0.8%
16.41 1
 
0.8%
16.97 1
 
0.8%
17.64 1
 
0.8%
19.8 1
 
0.8%
20.0 1
 
0.8%
ValueCountFrequency (%)
280.16 1
0.8%
173.0 1
0.8%
111.82 1
0.8%
100.0 1
0.8%
79.0 1
0.8%
72.98 1
0.8%
67.41 1
0.8%
66.0 1
0.8%
61.58 1
0.8%
61.14 1
0.8%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)시력표수표본렌즈수측정의자수동공거리측정기수정점굴절계기수조제용연마기수렌즈절단기수가열기수안경세척기수총면적
03000000PHMB21990300003408220000119901113200908103폐업3폐업20090810<NA><NA><NA>02-743-4280<NA>110850효제동298-1<NA><NA>효제서독안경원2009-08-10 12:01:30I2018-08-31 23:59:59.0<NA><NA><NA>111111111<NA>
13000000PHMB21990300003408220000219901121<NA>1영업/정상13영업중<NA><NA><NA><NA>02-737-1393<NA><NA>서울특별시 종로구 통인동 119번지 1호서울특별시 종로구 자하문로 41 (통인동)3036독일안경콘택트2020-12-08 09:13:25U2020-12-10 02:40:00.0<NA>197377.554326453041.350228111111111<NA>
23000000PHMB21990300003408220000319901205201809043폐업3폐업20170918<NA><NA><NA>02-742-0976<NA>110320서울특별시 종로구 낙원동 211번지서울특별시 종로구 수표로 115-1, 1층 1호 (낙원동)3140우주안경원2018-09-04 15:36:36U2018-09-04 23:59:59.0<NA>198960.877015452149.495588111111111<NA>
33000000PHMB21990300003408220000419901205201211123폐업3폐업20120831<NA><NA><NA>02-762-4012<NA>110522서울특별시 종로구 명륜2가 19번지서울특별시 종로구 창경궁로34길 14 (명륜2가)<NA>혜화안경2012-11-12 18:06:02I2018-08-31 23:59:59.0<NA>200012.482954453563.050943111111111<NA>
43000000PHMB21991300003408220000119910318200907173폐업3폐업20090717<NA><NA><NA><NA><NA>110340서울특별시 종로구 익선동 142번지 1호 13통 1반서울특별시 종로구 돈화문로11나길 31-13 (익선동)<NA>광명당안경2009-07-17 16:27:41I2018-08-31 23:59:59.0<NA>199016.529251452402.598415111111111<NA>
53000000PHMB21991300003408220000219910328<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2273-4828<NA>110836서울특별시 종로구 종로5가 261번지 2호서울특별시 종로구 종로 252 (종로5가)<NA>정보당안경원2017-06-29 16:00:06I2018-08-31 23:59:59.0<NA>200435.144894452060.930581111111111<NA>
63000000PHMB21991300003408220000319910409<NA>1영업/정상13영업중<NA><NA><NA><NA>02-743-6600<NA><NA>서울특별시 종로구 숭인동 191번지서울특별시 종로구 종로 393-1 (숭인동)3112안경선생님2020-07-16 14:24:59U2020-07-18 02:40:00.0<NA>201781.066325452512.805364111111111<NA>
73000000PHMB21991300003408220000419910518<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2279-0278<NA><NA>서울특별시 종로구 종로5가 332번지 18호 한일지하상가 라-8,9,10호서울특별시 종로구 동호로 398, 라-8,9,10호 (종로5가, 마전교지하쇼핑센터)3196보화당안경2016-08-04 16:02:09I2018-08-31 23:59:59.0<NA>200132.65535451961.427938111111111<NA>
83000000PHMB21991300003408220000519910518<NA>1영업/정상13영업중<NA><NA><NA><NA>02-735-7942<NA><NA>서울특별시 종로구 종로2가 12 통일빌딩서울특별시 종로구 종로 77, 통일빌딩 4층 402호 (종로2가)3164연세안경2022-01-28 10:25:44U2022-01-30 02:40:00.0<NA>198685.761389452015.63212912175111138.37
93000000PHMB21991300003408220000619910518200908123폐업3폐업20080905<NA><NA><NA>02-926-6428<NA>110829숭인2동759<NA><NA>광복안경원2009-08-12 14:27:12I2018-08-31 23:59:59.0<NA><NA><NA>111111111<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)시력표수표본렌즈수측정의자수동공거리측정기수정점굴절계기수조제용연마기수렌즈절단기수가열기수안경세척기수총면적
1083000000PHMB22019300003408220000320190813<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 명륜2가 38번지 3호서울특별시 종로구 대명길 26, 기영빌딩 1,2층 (명륜2가)3077플레인브랜드(PLAIN BRAND)2019-08-13 12:07:29I2019-11-20 00:23:19.0<NA>199946.038564453458.453088111111111280.16
1093000000PHMB22020300003408220000120200228<NA>1영업/정상13영업중<NA><NA><NA><NA>1588-9947<NA><NA>서울특별시 종로구 종로6가 289번지 57호 동대문종합시장 신관 22~24호서울특별시 종로구 종로 272, 동대문종합시장 신관 22~24호 (종로6가)3198샤인옵티컬2022-08-25 14:47:40U2021-12-07 22:07:00.0<NA>200647.013251452054.764928<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1103000000PHMB22020300003408220000220200309<NA>1영업/정상13영업중<NA><NA><NA><NA>02-743-7779<NA><NA>서울특별시 종로구 종로4가 6번지 4호서울특별시 종로구 종로 197 (종로4가)3130뉴종로안경보청기2020-03-09 17:00:52I2020-03-11 00:23:22.0<NA>199890.813818452093.26062911111111150.0
1113000000PHMB22020300003408220000320200319<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 혜화동 122번지 4호서울특별시 종로구 창경궁로 271 (혜화동)3075블링크안경 혜화점2020-03-19 17:19:44I2020-03-21 00:23:22.0<NA>199985.257331453683.61461311111111166.0
1123000000PHMB22020300003408220000420200320<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 종로5가 98번지 금원빌딩서울특별시 종로구 종로 207, 금원빌딩 2층 (종로5가)3129미소안경 보화보석2020-03-20 18:06:53I2020-03-22 00:23:22.0<NA>199993.071594452126.285694111111111100.0
1133000000PHMB22021300003408220000120210503<NA>3폐업3폐업20211227<NA><NA><NA>02-723-7232<NA><NA>서울특별시 종로구 내수동 72 경희궁의아침 3단지서울특별시 종로구 사직로8길 34, 경희궁의아침 3단지 161,162,167,168호 (내수동)3174마인즈아이안경원2021-12-28 15:19:43U2021-12-30 02:40:00.0<NA>197465.223921452366.613910011000052.0
1143000000PHMB22021300003408220000220210512<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 창신동 644서울특별시 종로구 창신길 75 (창신동)3097명성안경2021-05-12 11:17:17I2021-05-14 00:22:56.0<NA>200853.975051452530.8128921<NA><NA>11<NA><NA><NA><NA>19.8
1153000000PHMB22022300003408220000120220103<NA>3폐업3폐업20220225<NA><NA><NA>02-723-7232<NA><NA>서울특별시 종로구 내수동 72 경희궁의아침 3단지 1층 161호서울특별시 종로구 사직로8길 34, 경희궁의아침 3단지 1층 161호 (내수동)3174경희궁마인즈아이2022-02-25 11:23:37U2022-02-27 02:40:00.0<NA>197465.223921452366.613910011000049.5
1163000000PHMB22022300003408220000220220225<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 내수동 72 경희궁의아침 3단지 161호서울특별시 종로구 사직로8길 34, 경희궁의아침 3단지 161호 (내수동)3174경희궁마인즈아이2022-02-25 17:17:07I2022-02-27 00:22:37.0<NA>197465.223921452366.613910011000049.5
1173000000PHMB22022300003408220000320221006<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 숭인동 310 종로대우디오빌서울특별시 종로구 종로 344, 305호 (숭인동, 종로대우디오빌)3114으뜸50안경 동묘앞역점2022-10-06 16:59:29I2021-10-31 00:08:00.0<NA>201350.473376452279.74426<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>