Overview

Dataset statistics

Number of variables35
Number of observations542
Missing cells4641
Missing cells (%)24.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory160.0 KiB
Average record size in memory302.2 B

Variable types

Categorical13
Text6
DateTime4
Unsupported5
Numeric7

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
Author중구
URLhttps://data.seoul.go.kr/dataList/OA-16383/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
시력표수 is highly imbalanced (68.7%)Imbalance
표본렌즈수 is highly imbalanced (67.9%)Imbalance
측정의자수 is highly imbalanced (65.7%)Imbalance
조제용연마기수 is highly imbalanced (59.4%)Imbalance
렌즈절단기수 is highly imbalanced (67.6%)Imbalance
가열기수 is highly imbalanced (52.9%)Imbalance
안경세척기수 is highly imbalanced (58.6%)Imbalance
인허가취소일자 has 542 (100.0%) missing valuesMissing
폐업일자 has 336 (62.0%) missing valuesMissing
휴업시작일자 has 404 (74.5%) missing valuesMissing
휴업종료일자 has 542 (100.0%) missing valuesMissing
재개업일자 has 542 (100.0%) missing valuesMissing
전화번호 has 75 (13.8%) missing valuesMissing
소재지면적 has 542 (100.0%) missing valuesMissing
소재지우편번호 has 163 (30.1%) missing valuesMissing
지번주소 has 54 (10.0%) missing valuesMissing
도로명주소 has 176 (32.5%) missing valuesMissing
도로명우편번호 has 189 (34.9%) missing valuesMissing
업태구분명 has 542 (100.0%) missing valuesMissing
좌표정보(X) has 183 (33.8%) missing valuesMissing
좌표정보(Y) has 183 (33.8%) missing valuesMissing
동공거리측정기수 has 56 (10.3%) missing valuesMissing
정점굴절계기수 has 56 (10.3%) missing valuesMissing
총면적 has 56 (10.3%) missing valuesMissing
관리번호 has unique valuesUnique
인허가취소일자 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 298 (55.0%) zerosZeros

Reproduction

Analysis started2024-05-11 00:23:17.464155
Analysis finished2024-05-11 00:23:19.185965
Duration1.72 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
3010000
542 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3010000
2nd row3010000
3rd row3010000
4th row3010000
5th row3010000

Common Values

ValueCountFrequency (%)
3010000 542
100.0%

Length

2024-05-11T00:23:19.400728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:23:19.719779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3010000 542
100.0%

관리번호
Text

UNIQUE 

Distinct542
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
2024-05-11T00:23:20.141070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters13550
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

Unique542 ?
Unique (%)100.0%

Sample

1st rowPHMB219903010033082200001
2nd rowPHMB219903010033082200002
3rd rowPHMB219903010033082200003
4th rowPHMB219903010033082200004
5th rowPHMB219903010033082200005
ValueCountFrequency (%)
phmb219903010033082200001 1
 
0.2%
phmb220093010033082200014 1
 
0.2%
phmb220103010033082200012 1
 
0.2%
phmb220103010033082200011 1
 
0.2%
phmb220103010033082200010 1
 
0.2%
phmb220103010033082200009 1
 
0.2%
phmb220103010033082200008 1
 
0.2%
phmb220103010033082200007 1
 
0.2%
phmb220103010033082200006 1
 
0.2%
phmb220103010033082200005 1
 
0.2%
Other values (532) 532
98.2%
2024-05-11T00:23:21.029897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 4670
34.5%
2 2143
15.8%
3 1760
 
13.0%
1 1260
 
9.3%
8 627
 
4.6%
P 542
 
4.0%
H 542
 
4.0%
M 542
 
4.0%
B 542
 
4.0%
9 475
 
3.5%
Other values (4) 447
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 11382
84.0%
Uppercase Letter 2168
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4670
41.0%
2 2143
18.8%
3 1760
 
15.5%
1 1260
 
11.1%
8 627
 
5.5%
9 475
 
4.2%
4 130
 
1.1%
6 115
 
1.0%
5 114
 
1.0%
7 88
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
P 542
25.0%
H 542
25.0%
M 542
25.0%
B 542
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 11382
84.0%
Latin 2168
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4670
41.0%
2 2143
18.8%
3 1760
 
15.5%
1 1260
 
11.1%
8 627
 
5.5%
9 475
 
4.2%
4 130
 
1.1%
6 115
 
1.0%
5 114
 
1.0%
7 88
 
0.8%
Latin
ValueCountFrequency (%)
P 542
25.0%
H 542
25.0%
M 542
25.0%
B 542
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13550
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4670
34.5%
2 2143
15.8%
3 1760
 
13.0%
1 1260
 
9.3%
8 627
 
4.6%
P 542
 
4.0%
H 542
 
4.0%
M 542
 
4.0%
B 542
 
4.0%
9 475
 
3.5%
Other values (4) 447
 
3.3%

인허가일자
Date

Distinct486
Distinct (%)89.7%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
Minimum1990-10-19 00:00:00
Maximum2024-02-20 00:00:00
2024-05-11T00:23:21.474335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:23:21.990596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing542
Missing (%)100.0%
Memory size4.9 KiB

영업상태코드
Categorical

Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
3
342 
1
199 
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
3 342
63.1%
1 199
36.7%
4 1
 
0.2%

Length

2024-05-11T00:23:22.403309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:23:22.746229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 342
63.1%
1 199
36.7%
4 1
 
0.2%

영업상태명
Categorical

Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
폐업
342 
영업/정상
199 
취소/말소/만료/정지/중지
 
1

Length

Max length14
Median length2
Mean length3.1236162
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 342
63.1%
영업/정상 199
36.7%
취소/말소/만료/정지/중지 1
 
0.2%

Length

2024-05-11T00:23:23.132341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:23:23.551674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 342
63.1%
영업/정상 199
36.7%
취소/말소/만료/정지/중지 1
 
0.2%

상세영업상태코드
Categorical

Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
3
342 
13
199 
24
 
1

Length

Max length2
Median length1
Mean length1.3690037
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
3 342
63.1%
13 199
36.7%
24 1
 
0.2%

Length

2024-05-11T00:23:23.922178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:23:24.258457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 342
63.1%
13 199
36.7%
24 1
 
0.2%

상세영업상태명
Categorical

Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
폐업
342 
영업중
199 
직권폐업
 
1

Length

Max length4
Median length2
Mean length2.3708487
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 342
63.1%
영업중 199
36.7%
직권폐업 1
 
0.2%

Length

2024-05-11T00:23:24.603916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:23:24.972657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 342
63.1%
영업중 199
36.7%
직권폐업 1
 
0.2%

폐업일자
Date

MISSING 

Distinct189
Distinct (%)91.7%
Missing336
Missing (%)62.0%
Memory size4.4 KiB
Minimum2007-08-30 00:00:00
Maximum2024-04-03 00:00:00
2024-05-11T00:23:25.403424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:23:26.138467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Real number (ℝ)

MISSING 

Distinct59
Distinct (%)42.8%
Missing404
Missing (%)74.5%
Infinite0
Infinite (%)0.0%
Mean20061336
Minimum20050418
Maximum20081021
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-05-11T00:23:26.599958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20050418
5-th percentile20050727
Q120060317
median20060317
Q320060721
95-th percentile20080618
Maximum20081021
Range30603
Interquartile range (IQR)404

Descriptive statistics

Standard deviation7991.862
Coefficient of variation (CV)0.00039837137
Kurtosis0.82871807
Mean20061336
Median Absolute Deviation (MAD)110.5
Skewness0.95842523
Sum2.7684644 × 109
Variance63869858
MonotonicityNot monotonic
2024-05-11T00:23:27.290216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20060317 64
 
11.8%
20071016 5
 
0.9%
20050801 4
 
0.7%
20061013 3
 
0.6%
20050727 3
 
0.6%
20060721 2
 
0.4%
20050803 2
 
0.4%
20050804 2
 
0.4%
20060224 2
 
0.4%
20060206 2
 
0.4%
Other values (49) 49
 
9.0%
(Missing) 404
74.5%
ValueCountFrequency (%)
20050418 1
 
0.2%
20050429 1
 
0.2%
20050502 1
 
0.2%
20050701 1
 
0.2%
20050707 1
 
0.2%
20050712 1
 
0.2%
20050727 3
0.6%
20050801 4
0.7%
20050802 1
 
0.2%
20050803 2
0.4%
ValueCountFrequency (%)
20081021 1
0.2%
20081009 1
0.2%
20080821 1
0.2%
20080624 1
0.2%
20080623 1
0.2%
20080620 1
0.2%
20080619 1
0.2%
20080618 1
0.2%
20080425 1
0.2%
20080131 1
0.2%

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing542
Missing (%)100.0%
Memory size4.9 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing542
Missing (%)100.0%
Memory size4.9 KiB

전화번호
Text

MISSING 

Distinct449
Distinct (%)96.1%
Missing75
Missing (%)13.8%
Memory size4.4 KiB
2024-05-11T00:23:28.202491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length8
Mean length9.1498929
Min length8

Characters and Unicode

Total characters4273
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

Unique431 ?
Unique (%)92.3%

Sample

1st row776-4778
2nd row02-756-8519
3rd row755-6634
4th row777-6789
5th row756-6155
ValueCountFrequency (%)
775-8473 2
 
0.4%
753-5831 2
 
0.4%
771-8228 2
 
0.4%
776-9428 2
 
0.4%
778-8858 2
 
0.4%
2048-1022 2
 
0.4%
2079-0838 2
 
0.4%
776-2002 2
 
0.4%
02-3783-4845 2
 
0.4%
776-8009 2
 
0.4%
Other values (439) 447
95.7%
2024-05-11T00:23:29.975602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7 659
15.4%
- 589
13.8%
2 510
11.9%
0 448
10.5%
5 402
9.4%
3 381
8.9%
8 312
7.3%
6 274
6.4%
1 269
6.3%
9 218
 
5.1%
Other values (2) 211
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3683
86.2%
Dash Punctuation 589
 
13.8%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 659
17.9%
2 510
13.8%
0 448
12.2%
5 402
10.9%
3 381
10.3%
8 312
8.5%
6 274
7.4%
1 269
7.3%
9 218
 
5.9%
4 210
 
5.7%
Dash Punctuation
ValueCountFrequency (%)
- 589
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4273
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
7 659
15.4%
- 589
13.8%
2 510
11.9%
0 448
10.5%
5 402
9.4%
3 381
8.9%
8 312
7.3%
6 274
6.4%
1 269
6.3%
9 218
 
5.1%
Other values (2) 211
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4273
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7 659
15.4%
- 589
13.8%
2 510
11.9%
0 448
10.5%
5 402
9.4%
3 381
8.9%
8 312
7.3%
6 274
6.4%
1 269
6.3%
9 218
 
5.1%
Other values (2) 211
 
4.9%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing542
Missing (%)100.0%
Memory size4.9 KiB

소재지우편번호
Text

MISSING 

Distinct95
Distinct (%)25.1%
Missing163
Missing (%)30.1%
Memory size4.4 KiB
2024-05-11T00:23:31.311659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0184697
Min length6

Characters and Unicode

Total characters2281
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

Unique50 ?
Unique (%)13.2%

Sample

1st row100804
2nd row100092
3rd row100826
4th row100070
5th row100714
ValueCountFrequency (%)
100804 67
 
17.7%
100094 29
 
7.7%
100011 24
 
6.3%
100092 19
 
5.0%
100802 15
 
4.0%
100762 14
 
3.7%
100810 13
 
3.4%
100730 10
 
2.6%
100861 8
 
2.1%
100093 7
 
1.8%
Other values (85) 173
45.6%
2024-05-11T00:23:33.106732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1029
45.1%
1 509
22.3%
8 202
 
8.9%
4 141
 
6.2%
9 94
 
4.1%
2 94
 
4.1%
7 84
 
3.7%
6 53
 
2.3%
5 35
 
1.5%
3 33
 
1.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2274
99.7%
Dash Punctuation 7
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1029
45.3%
1 509
22.4%
8 202
 
8.9%
4 141
 
6.2%
9 94
 
4.1%
2 94
 
4.1%
7 84
 
3.7%
6 53
 
2.3%
5 35
 
1.5%
3 33
 
1.5%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2281
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1029
45.1%
1 509
22.3%
8 202
 
8.9%
4 141
 
6.2%
9 94
 
4.1%
2 94
 
4.1%
7 84
 
3.7%
6 53
 
2.3%
5 35
 
1.5%
3 33
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2281
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1029
45.1%
1 509
22.3%
8 202
 
8.9%
4 141
 
6.2%
9 94
 
4.1%
2 94
 
4.1%
7 84
 
3.7%
6 53
 
2.3%
5 35
 
1.5%
3 33
 
1.4%

지번주소
Text

MISSING 

Distinct431
Distinct (%)88.3%
Missing54
Missing (%)10.0%
Memory size4.4 KiB
2024-05-11T00:23:34.142729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length41
Mean length25.42623
Min length9

Characters and Unicode

Total characters12408
Distinct characters245
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique404 ?
Unique (%)82.8%

Sample

1st row서울특별시 중구 남대문로2가 9번지 9호 명동지하쇼핑센터
2nd row서울특별시 중구 남창동 50-13호 지상1층
3rd row서울특별시 중구 남대문로2가 123번지 명동지하상가 라-1
4th row서울특별시 중구 신당4동 333-173
5th row서울특별시 중구 소공로1가 롯데1번가 롯데백화점 (지하51호)
ValueCountFrequency (%)
서울특별시 457
 
17.6%
중구 452
 
17.4%
남창동 116
 
4.5%
을지로6가 54
 
2.1%
남대문로5가 47
 
1.8%
1층 45
 
1.7%
1호 42
 
1.6%
18번지 39
 
1.5%
남대문로4가 35
 
1.4%
충무로1가 31
 
1.2%
Other values (612) 1274
49.2%
2024-05-11T00:23:35.436616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2115
 
17.0%
1 644
 
5.2%
시 472
 
3.8%
서 466
 
3.8%
울 464
 
3.7%
중 461
 
3.7%
구 459
 
3.7%
특 457
 
3.7%
별 457
 
3.7%
2 432
 
3.5%
Other values (235) 5981
48.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7334
59.1%
Decimal Number 2559
 
20.6%
Space Separator 2115
 
17.0%
Dash Punctuation 203
 
1.6%
Other Punctuation 56
 
0.5%
Lowercase Letter 42
 
0.3%
Uppercase Letter 39
 
0.3%
Open Punctuation 25
 
0.2%
Close Punctuation 25
 
0.2%
Math Symbol 10
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 472
 
6.4%
서 466
 
6.4%
울 464
 
6.3%
중 461
 
6.3%
구 459
 
6.3%
특 457
 
6.2%
별 457
 
6.2%
지 415
 
5.7%
가 353
 
4.8%
호 340
 
4.6%
Other values (189) 2990
40.8%
Uppercase Letter
ValueCountFrequency (%)
D 5
12.8%
B 5
12.8%
A 4
10.3%
N 3
7.7%
T 3
7.7%
E 3
7.7%
M 3
7.7%
F 2
 
5.1%
P 2
 
5.1%
S 2
 
5.1%
Other values (4) 7
17.9%
Lowercase Letter
ValueCountFrequency (%)
o 8
19.0%
e 7
16.7%
a 4
9.5%
n 4
9.5%
u 3
 
7.1%
r 3
 
7.1%
i 3
 
7.1%
q 2
 
4.8%
d 2
 
4.8%
g 2
 
4.8%
Other values (3) 4
9.5%
Decimal Number
ValueCountFrequency (%)
1 644
25.2%
2 432
16.9%
5 310
12.1%
3 219
 
8.6%
0 201
 
7.9%
4 188
 
7.3%
6 165
 
6.4%
8 164
 
6.4%
7 136
 
5.3%
9 100
 
3.9%
Other Punctuation
ValueCountFrequency (%)
, 47
83.9%
. 7
 
12.5%
& 1
 
1.8%
/ 1
 
1.8%
Space Separator
ValueCountFrequency (%)
2115
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 203
100.0%
Open Punctuation
ValueCountFrequency (%)
( 25
100.0%
Close Punctuation
ValueCountFrequency (%)
) 25
100.0%
Math Symbol
ValueCountFrequency (%)
~ 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7334
59.1%
Common 4993
40.2%
Latin 81
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 472
 
6.4%
서 466
 
6.4%
울 464
 
6.3%
중 461
 
6.3%
구 459
 
6.3%
특 457
 
6.2%
별 457
 
6.2%
지 415
 
5.7%
가 353
 
4.8%
호 340
 
4.6%
Other values (189) 2990
40.8%
Latin
ValueCountFrequency (%)
o 8
 
9.9%
e 7
 
8.6%
D 5
 
6.2%
B 5
 
6.2%
a 4
 
4.9%
n 4
 
4.9%
A 4
 
4.9%
u 3
 
3.7%
r 3
 
3.7%
N 3
 
3.7%
Other values (17) 35
43.2%
Common
ValueCountFrequency (%)
2115
42.4%
1 644
 
12.9%
2 432
 
8.7%
5 310
 
6.2%
3 219
 
4.4%
- 203
 
4.1%
0 201
 
4.0%
4 188
 
3.8%
6 165
 
3.3%
8 164
 
3.3%
Other values (9) 352
 
7.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7334
59.1%
ASCII 5074
40.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2115
41.7%
1 644
 
12.7%
2 432
 
8.5%
5 310
 
6.1%
3 219
 
4.3%
- 203
 
4.0%
0 201
 
4.0%
4 188
 
3.7%
6 165
 
3.3%
8 164
 
3.2%
Other values (36) 433
 
8.5%
Hangul
ValueCountFrequency (%)
시 472
 
6.4%
서 466
 
6.4%
울 464
 
6.3%
중 461
 
6.3%
구 459
 
6.3%
특 457
 
6.2%
별 457
 
6.2%
지 415
 
5.7%
가 353
 
4.8%
호 340
 
4.6%
Other values (189) 2990
40.8%

도로명주소
Text

MISSING 

Distinct350
Distinct (%)95.6%
Missing176
Missing (%)32.5%
Memory size4.4 KiB
2024-05-11T00:23:36.553026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length64
Median length45
Mean length34.989071
Min length20

Characters and Unicode

Total characters12806
Distinct characters252
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique339 ?
Unique (%)92.6%

Sample

1st row서울특별시 중구 남대문로 지하 72, 명동지하쇼핑센터 바 4호 (남대문로2가)
2nd row서울특별시 중구 남대문시장4길 24-1 (남창동)
3rd row서울특별시 중구 남대문로 67 (남대문로2가, 명동지하상가 라-1)
4th row서울특별시 중구 한강대로 416 (남대문로5가)
5th row서울특별시 중구 남대문시장2길 7, 1층 (남창동)
ValueCountFrequency (%)
서울특별시 366
 
14.8%
중구 360
 
14.5%
남창동 94
 
3.8%
1층 93
 
3.8%
남대문시장4길 70
 
2.8%
남대문로 45
 
1.8%
을지로6가 38
 
1.5%
지하1층 35
 
1.4%
장충단로 31
 
1.3%
남대문시장길 27
 
1.1%
Other values (537) 1317
53.2%
2024-05-11T00:23:38.041087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2110
 
16.5%
1 508
 
4.0%
시 485
 
3.8%
, 468
 
3.7%
로 403
 
3.1%
2 402
 
3.1%
서 381
 
3.0%
울 375
 
2.9%
) 372
 
2.9%
( 372
 
2.9%
Other values (242) 6930
54.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7282
56.9%
Space Separator 2110
 
16.5%
Decimal Number 1971
 
15.4%
Other Punctuation 469
 
3.7%
Close Punctuation 372
 
2.9%
Open Punctuation 372
 
2.9%
Dash Punctuation 115
 
0.9%
Lowercase Letter 64
 
0.5%
Uppercase Letter 40
 
0.3%
Math Symbol 11
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 485
 
6.7%
로 403
 
5.5%
서 381
 
5.2%
울 375
 
5.1%
구 368
 
5.1%
중 367
 
5.0%
특 366
 
5.0%
별 366
 
5.0%
남 361
 
5.0%
대 286
 
3.9%
Other values (199) 3524
48.4%
Lowercase Letter
ValueCountFrequency (%)
o 12
18.8%
e 9
14.1%
n 8
12.5%
i 7
10.9%
a 6
9.4%
u 5
7.8%
r 5
7.8%
q 4
 
6.2%
d 2
 
3.1%
g 2
 
3.1%
Other values (3) 4
 
6.2%
Uppercase Letter
ValueCountFrequency (%)
B 6
15.0%
T 5
12.5%
N 5
12.5%
F 4
10.0%
S 4
10.0%
A 3
7.5%
C 3
7.5%
M 2
 
5.0%
J 2
 
5.0%
E 2
 
5.0%
Other values (3) 4
10.0%
Decimal Number
ValueCountFrequency (%)
1 508
25.8%
2 402
20.4%
4 208
10.6%
3 186
 
9.4%
6 153
 
7.8%
5 137
 
7.0%
0 122
 
6.2%
7 114
 
5.8%
8 95
 
4.8%
9 46
 
2.3%
Other Punctuation
ValueCountFrequency (%)
, 468
99.8%
& 1
 
0.2%
Space Separator
ValueCountFrequency (%)
2110
100.0%
Close Punctuation
ValueCountFrequency (%)
) 372
100.0%
Open Punctuation
ValueCountFrequency (%)
( 372
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 115
100.0%
Math Symbol
ValueCountFrequency (%)
~ 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7282
56.9%
Common 5420
42.3%
Latin 104
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 485
 
6.7%
로 403
 
5.5%
서 381
 
5.2%
울 375
 
5.1%
구 368
 
5.1%
중 367
 
5.0%
특 366
 
5.0%
별 366
 
5.0%
남 361
 
5.0%
대 286
 
3.9%
Other values (199) 3524
48.4%
Latin
ValueCountFrequency (%)
o 12
 
11.5%
e 9
 
8.7%
n 8
 
7.7%
i 7
 
6.7%
a 6
 
5.8%
B 6
 
5.8%
T 5
 
4.8%
N 5
 
4.8%
u 5
 
4.8%
r 5
 
4.8%
Other values (16) 36
34.6%
Common
ValueCountFrequency (%)
2110
38.9%
1 508
 
9.4%
, 468
 
8.6%
2 402
 
7.4%
) 372
 
6.9%
( 372
 
6.9%
4 208
 
3.8%
3 186
 
3.4%
6 153
 
2.8%
5 137
 
2.5%
Other values (7) 504
 
9.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7282
56.9%
ASCII 5524
43.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2110
38.2%
1 508
 
9.2%
, 468
 
8.5%
2 402
 
7.3%
) 372
 
6.7%
( 372
 
6.7%
4 208
 
3.8%
3 186
 
3.4%
6 153
 
2.8%
5 137
 
2.5%
Other values (33) 608
 
11.0%
Hangul
ValueCountFrequency (%)
시 485
 
6.7%
로 403
 
5.5%
서 381
 
5.2%
울 375
 
5.1%
구 368
 
5.1%
중 367
 
5.0%
특 366
 
5.0%
별 366
 
5.0%
남 361
 
5.0%
대 286
 
3.9%
Other values (199) 3524
48.4%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct85
Distinct (%)24.1%
Missing189
Missing (%)34.9%
Infinite0
Infinite (%)0.0%
Mean18596.807
Minimum4502
Maximum150943
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-05-11T00:23:38.578332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4502
5-th percentile4527
Q14528
median4535
Q34566
95-th percentile100804
Maximum150943
Range146441
Interquartile range (IQR)38

Descriptive statistics

Standard deviation34354.557
Coefficient of variation (CV)1.8473363
Kurtosis2.3896805
Mean18596.807
Median Absolute Deviation (MAD)7
Skewness2.0658938
Sum6564673
Variance1.1802356 × 109
MonotonicityNot monotonic
2024-05-11T00:23:39.179182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4528 76
14.0%
4529 36
 
6.6%
4536 21
 
3.9%
4563 18
 
3.3%
4527 16
 
3.0%
4535 14
 
2.6%
4532 13
 
2.4%
4537 9
 
1.7%
4564 8
 
1.5%
100804 7
 
1.3%
Other values (75) 135
24.9%
(Missing) 189
34.9%
ValueCountFrequency (%)
4502 1
 
0.2%
4509 4
 
0.7%
4512 1
 
0.2%
4513 1
 
0.2%
4514 2
 
0.4%
4515 1
 
0.2%
4516 2
 
0.4%
4520 1
 
0.2%
4526 1
 
0.2%
4527 16
3.0%
ValueCountFrequency (%)
150943 1
 
0.2%
110830 1
 
0.2%
100951 1
 
0.2%
100895 1
 
0.2%
100874 1
 
0.2%
100863 1
 
0.2%
100861 1
 
0.2%
100860 1
 
0.2%
100840 1
 
0.2%
100810 3
0.6%

사업장명
Text

Distinct494
Distinct (%)91.1%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
2024-05-11T00:23:39.944411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length18
Mean length6.0350554
Min length2

Characters and Unicode

Total characters3271
Distinct characters347
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique452 ?
Unique (%)83.4%

Sample

1st row러브안경
2nd row친절사안경원
3rd row로즈안경
4th row원안경
5th row세란안경
ValueCountFrequency (%)
오렌즈 9
 
1.5%
안경 7
 
1.1%
안경원 7
 
1.1%
렌즈미 7
 
1.1%
아프리카안경 4
 
0.7%
으뜸50안경 4
 
0.7%
명동점 4
 
0.7%
동대문점 3
 
0.5%
투링안경 3
 
0.5%
눈빛안경 3
 
0.5%
Other values (511) 561
91.7%
2024-05-11T00:23:41.077336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
안 428
 
13.1%
경 426
 
13.0%
원 101
 
3.1%
스 86
 
2.6%
이 84
 
2.6%
점 78
 
2.4%
아 75
 
2.3%
70
 
2.1%
동 68
 
2.1%
리 54
 
1.7%
Other values (337) 1801
55.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3044
93.1%
Space Separator 70
 
2.1%
Uppercase Letter 47
 
1.4%
Open Punctuation 28
 
0.9%
Close Punctuation 28
 
0.9%
Decimal Number 26
 
0.8%
Lowercase Letter 24
 
0.7%
Other Symbol 2
 
0.1%
Other Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
안 428
 
14.1%
경 426
 
14.0%
원 101
 
3.3%
스 86
 
2.8%
이 84
 
2.8%
점 78
 
2.6%
아 75
 
2.5%
동 68
 
2.2%
리 54
 
1.8%
명 47
 
1.5%
Other values (296) 1597
52.5%
Uppercase Letter
ValueCountFrequency (%)
O 8
17.0%
E 8
17.0%
D 4
8.5%
I 4
8.5%
L 4
8.5%
A 4
8.5%
S 3
 
6.4%
P 3
 
6.4%
N 1
 
2.1%
Y 1
 
2.1%
Other values (7) 7
14.9%
Lowercase Letter
ValueCountFrequency (%)
y 6
25.0%
d 3
12.5%
e 3
12.5%
s 2
 
8.3%
t 2
 
8.3%
r 1
 
4.2%
u 1
 
4.2%
a 1
 
4.2%
h 1
 
4.2%
l 1
 
4.2%
Other values (3) 3
12.5%
Decimal Number
ValueCountFrequency (%)
0 10
38.5%
2 5
19.2%
5 4
 
15.4%
1 4
 
15.4%
7 2
 
7.7%
4 1
 
3.8%
Space Separator
ValueCountFrequency (%)
70
100.0%
Open Punctuation
ValueCountFrequency (%)
( 28
100.0%
Close Punctuation
ValueCountFrequency (%)
) 28
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%
Other Punctuation
ValueCountFrequency (%)
? 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3046
93.1%
Common 154
 
4.7%
Latin 71
 
2.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
안 428
 
14.1%
경 426
 
14.0%
원 101
 
3.3%
스 86
 
2.8%
이 84
 
2.8%
점 78
 
2.6%
아 75
 
2.5%
동 68
 
2.2%
리 54
 
1.8%
명 47
 
1.5%
Other values (297) 1599
52.5%
Latin
ValueCountFrequency (%)
O 8
 
11.3%
E 8
 
11.3%
y 6
 
8.5%
D 4
 
5.6%
I 4
 
5.6%
L 4
 
5.6%
A 4
 
5.6%
S 3
 
4.2%
P 3
 
4.2%
d 3
 
4.2%
Other values (20) 24
33.8%
Common
ValueCountFrequency (%)
70
45.5%
( 28
 
18.2%
) 28
 
18.2%
0 10
 
6.5%
2 5
 
3.2%
5 4
 
2.6%
1 4
 
2.6%
7 2
 
1.3%
? 2
 
1.3%
4 1
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3044
93.1%
ASCII 225
 
6.9%
None 2
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
안 428
 
14.1%
경 426
 
14.0%
원 101
 
3.3%
스 86
 
2.8%
이 84
 
2.8%
점 78
 
2.6%
아 75
 
2.5%
동 68
 
2.2%
리 54
 
1.8%
명 47
 
1.5%
Other values (296) 1597
52.5%
ASCII
ValueCountFrequency (%)
70
31.1%
( 28
 
12.4%
) 28
 
12.4%
0 10
 
4.4%
O 8
 
3.6%
E 8
 
3.6%
y 6
 
2.7%
2 5
 
2.2%
D 4
 
1.8%
5 4
 
1.8%
Other values (30) 54
24.0%
None
ValueCountFrequency (%)
㈜ 2
100.0%

최종수정일자
Date

Distinct417
Distinct (%)76.9%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
Minimum2008-12-06 13:12:44
Maximum2024-04-04 10:11:35
2024-05-11T00:23:41.693280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:23:42.274500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
I
327 
U
215 

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 327
60.3%
U 215
39.7%

Length

2024-05-11T00:23:42.778223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:23:43.192161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 327
60.3%
u 215
39.7%

데이터갱신일자
Date

Distinct143
Distinct (%)26.4%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:06:00
2024-05-11T00:23:43.675518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:23:44.239653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing542
Missing (%)100.0%
Memory size4.9 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct207
Distinct (%)57.7%
Missing183
Missing (%)33.8%
Infinite0
Infinite (%)0.0%
Mean198699.8
Minimum190282.16
Maximum202011.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-05-11T00:23:44.752779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum190282.16
5-th percentile197700.27
Q1197902.15
median198259.65
Q3199009.95
95-th percentile201087.96
Maximum202011.8
Range11729.639
Interquartile range (IQR)1107.7992

Descriptive statistics

Standard deviation1286.4425
Coefficient of variation (CV)0.0064743018
Kurtosis4.5561427
Mean198699.8
Median Absolute Deviation (MAD)389.5622
Skewness0.21282292
Sum71333230
Variance1654934.3
MonotonicityNot monotonic
2024-05-11T00:23:45.248638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
197864.564761519 22
 
4.1%
197902.146082898 15
 
2.8%
198354.121882082 12
 
2.2%
198315.532747026 12
 
2.2%
200703.625559248 11
 
2.0%
200664.582936542 9
 
1.7%
197761.352668418 7
 
1.3%
197916.782601362 7
 
1.3%
198418.741655644 6
 
1.1%
197831.002724157 5
 
0.9%
Other values (197) 253
46.7%
(Missing) 183
33.8%
ValueCountFrequency (%)
190282.16079832 1
 
0.2%
196693.095370026 1
 
0.2%
196864.942838297 1
 
0.2%
197143.10408516 2
0.4%
197229.761422932 1
 
0.2%
197230.206089772 3
0.6%
197553.417234076 1
 
0.2%
197556.788281973 1
 
0.2%
197612.995083649 1
 
0.2%
197620.676444642 3
0.6%
ValueCountFrequency (%)
202011.800096 1
0.2%
201823.908977364 2
0.4%
201798.057883536 1
0.2%
201792.385974356 1
0.2%
201706.104540614 1
0.2%
201659.71246566 1
0.2%
201641.363400185 1
0.2%
201601.786168123 1
0.2%
201541.119336904 1
0.2%
201422.078206465 1
0.2%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct207
Distinct (%)57.7%
Missing183
Missing (%)33.8%
Infinite0
Infinite (%)0.0%
Mean451058.16
Minimum446242.32
Maximum455371.73
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-05-11T00:23:45.718495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum446242.32
5-th percentile450487.56
Q1450776.97
median450952.11
Q3451309.74
95-th percentile451819.41
Maximum455371.73
Range9129.4122
Interquartile range (IQR)532.7656

Descriptive statistics

Standard deviation534.04669
Coefficient of variation (CV)0.0011839863
Kurtosis28.939874
Mean451058.16
Median Absolute Deviation (MAD)257.79577
Skewness-0.39853433
Sum1.6192988 × 108
Variance285205.87
MonotonicityNot monotonic
2024-05-11T00:23:46.226516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
450776.970697936 22
 
4.1%
450720.711316548 15
 
2.8%
451309.736293852 12
 
2.2%
451248.141599825 12
 
2.2%
451836.458256618 11
 
2.0%
451781.8683954 9
 
1.7%
450694.317526664 7
 
1.3%
450902.982126289 7
 
1.3%
451237.168596152 6
 
1.1%
450794.31483169 5
 
0.9%
Other values (197) 253
46.7%
(Missing) 183
33.8%
ValueCountFrequency (%)
446242.316747293 1
0.2%
449638.824308081 1
0.2%
450010.190882608 1
0.2%
450131.890199294 1
0.2%
450182.882309738 1
0.2%
450195.179153061 1
0.2%
450242.717073989 1
0.2%
450258.139221473 1
0.2%
450297.873617696 1
0.2%
450341.990992064 1
0.2%
ValueCountFrequency (%)
455371.728904663 1
 
0.2%
452413.412894 1
 
0.2%
452076.818664092 2
 
0.4%
451995.163058 2
 
0.4%
451883.9995113 1
 
0.2%
451836.458256618 11
2.0%
451817.515366883 3
 
0.6%
451790.540104336 1
 
0.2%
451781.8683954 9
1.7%
451764.474808456 2
 
0.4%

시력표수
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
1
476 
<NA>
56 
2
 
7
0
 
3

Length

Max length4
Median length1
Mean length1.3099631
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 476
87.8%
<NA> 56
 
10.3%
2 7
 
1.3%
0 3
 
0.6%

Length

2024-05-11T00:23:46.747362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:23:47.217937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 476
87.8%
na 56
 
10.3%
2 7
 
1.3%
0 3
 
0.6%

표본렌즈수
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
1
467 
<NA>
56 
0
 
9
2
 
7
3
 
3

Length

Max length4
Median length1
Mean length1.3099631
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 467
86.2%
<NA> 56
 
10.3%
0 9
 
1.7%
2 7
 
1.3%
3 3
 
0.6%

Length

2024-05-11T00:23:47.773493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:23:48.205747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 467
86.2%
na 56
 
10.3%
0 9
 
1.7%
2 7
 
1.3%
3 3
 
0.6%

측정의자수
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
1
461 
<NA>
56 
2
 
13
0
 
11
3
 
1

Length

Max length4
Median length1
Mean length1.3099631
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
1 461
85.1%
<NA> 56
 
10.3%
2 13
 
2.4%
0 11
 
2.0%
3 1
 
0.2%

Length

2024-05-11T00:23:48.610121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:23:48.993644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 461
85.1%
na 56
 
10.3%
2 13
 
2.4%
0 11
 
2.0%
3 1
 
0.2%

동공거리측정기수
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)1.4%
Missing56
Missing (%)10.3%
Infinite0
Infinite (%)0.0%
Mean1.0761317
Minimum0
Maximum10
Zeros3
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-05-11T00:23:49.358925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum10
Range10
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.57827174
Coefficient of variation (CV)0.5373615
Kurtosis131.21956
Mean1.0761317
Median Absolute Deviation (MAD)0
Skewness10.147152
Sum523
Variance0.3343982
MonotonicityNot monotonic
2024-05-11T00:23:49.910522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 466
86.0%
2 8
 
1.5%
3 4
 
0.7%
5 3
 
0.6%
0 3
 
0.6%
4 1
 
0.2%
10 1
 
0.2%
(Missing) 56
 
10.3%
ValueCountFrequency (%)
0 3
 
0.6%
1 466
86.0%
2 8
 
1.5%
3 4
 
0.7%
4 1
 
0.2%
5 3
 
0.6%
10 1
 
0.2%
ValueCountFrequency (%)
10 1
 
0.2%
5 3
 
0.6%
4 1
 
0.2%
3 4
 
0.7%
2 8
 
1.5%
1 466
86.0%
0 3
 
0.6%

정점굴절계기수
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)1.2%
Missing56
Missing (%)10.3%
Infinite0
Infinite (%)0.0%
Mean1.0925926
Minimum0
Maximum5
Zeros3
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-05-11T00:23:50.272787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.41326793
Coefficient of variation (CV)0.37824522
Kurtosis31.144482
Mean1.0925926
Median Absolute Deviation (MAD)0
Skewness4.8576627
Sum531
Variance0.17079038
MonotonicityNot monotonic
2024-05-11T00:23:50.595084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 448
82.7%
2 26
 
4.8%
3 6
 
1.1%
0 3
 
0.6%
4 2
 
0.4%
5 1
 
0.2%
(Missing) 56
 
10.3%
ValueCountFrequency (%)
0 3
 
0.6%
1 448
82.7%
2 26
 
4.8%
3 6
 
1.1%
4 2
 
0.4%
5 1
 
0.2%
ValueCountFrequency (%)
5 1
 
0.2%
4 2
 
0.4%
3 6
 
1.1%
2 26
 
4.8%
1 448
82.7%
0 3
 
0.6%

조제용연마기수
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
1
458 
<NA>
56 
0
 
19
2
 
9

Length

Max length4
Median length1
Mean length1.3099631
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 458
84.5%
<NA> 56
 
10.3%
0 19
 
3.5%
2 9
 
1.7%

Length

2024-05-11T00:23:51.101921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:23:51.462785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 458
84.5%
na 56
 
10.3%
0 19
 
3.5%
2 9
 
1.7%

렌즈절단기수
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
1
464 
<NA>
56 
0
 
18
2
 
3
4
 
1

Length

Max length4
Median length1
Mean length1.3099631
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
1 464
85.6%
<NA> 56
 
10.3%
0 18
 
3.3%
2 3
 
0.6%
4 1
 
0.2%

Length

2024-05-11T00:23:52.088036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:23:52.519104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 464
85.6%
na 56
 
10.3%
0 18
 
3.3%
2 3
 
0.6%
4 1
 
0.2%

가열기수
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
1
430 
<NA>
56 
2
 
27
0
 
20
3
 
9

Length

Max length4
Median length1
Mean length1.3099631
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 430
79.3%
<NA> 56
 
10.3%
2 27
 
5.0%
0 20
 
3.7%
3 9
 
1.7%

Length

2024-05-11T00:23:53.050767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:23:53.547449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 430
79.3%
na 56
 
10.3%
2 27
 
5.0%
0 20
 
3.7%
3 9
 
1.7%

안경세척기수
Categorical

IMBALANCE 

Distinct6
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
1
435 
<NA>
56 
2
 
23
0
 
18
3
 
8

Length

Max length4
Median length1
Mean length1.3099631
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 435
80.3%
<NA> 56
 
10.3%
2 23
 
4.2%
0 18
 
3.3%
3 8
 
1.5%
4 2
 
0.4%

Length

2024-05-11T00:23:53.932692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:23:54.482994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 435
80.3%
na 56
 
10.3%
2 23
 
4.2%
0 18
 
3.3%
3 8
 
1.5%
4 2
 
0.4%

총면적
Real number (ℝ)

MISSING  ZEROS 

Distinct156
Distinct (%)32.1%
Missing56
Missing (%)10.3%
Infinite0
Infinite (%)0.0%
Mean15.985947
Minimum0
Maximum355
Zeros298
Zeros (%)55.0%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-05-11T00:23:55.373260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q321.9
95-th percentile76.9725
Maximum355
Range355
Interquartile range (IQR)21.9

Descriptive statistics

Standard deviation30.587029
Coefficient of variation (CV)1.9133699
Kurtosis33.561024
Mean15.985947
Median Absolute Deviation (MAD)0
Skewness4.2280965
Sum7769.17
Variance935.56636
MonotonicityNot monotonic
2024-05-11T00:23:56.043316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 298
55.0%
16.5 7
 
1.3%
33.0 6
 
1.1%
15.0 4
 
0.7%
26.4 3
 
0.6%
54.0 3
 
0.6%
18.0 3
 
0.6%
45.0 3
 
0.6%
9.0 2
 
0.4%
12.71 2
 
0.4%
Other values (146) 155
28.6%
(Missing) 56
 
10.3%
ValueCountFrequency (%)
0.0 298
55.0%
5.9 1
 
0.2%
6.0 1
 
0.2%
6.6 1
 
0.2%
8.0 1
 
0.2%
8.85 1
 
0.2%
9.0 2
 
0.4%
9.1 1
 
0.2%
9.25 1
 
0.2%
9.9 2
 
0.4%
ValueCountFrequency (%)
355.0 1
0.2%
191.5 1
0.2%
136.75 1
0.2%
112.2 1
0.2%
109.12 1
0.2%
99.2 1
0.2%
99.0 2
0.4%
98.82 1
0.2%
97.0 1
0.2%
95.88 1
0.2%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)시력표수표본렌즈수측정의자수동공거리측정기수정점굴절계기수조제용연마기수렌즈절단기수가열기수안경세척기수총면적
03010000PHMB21990301003308220000119901019<NA>1영업/정상13영업중<NA><NA><NA><NA>776-4778<NA><NA>서울특별시 중구 남대문로2가 9번지 9호 명동지하쇼핑센터서울특별시 중구 남대문로 지하 72, 명동지하쇼핑센터 바 4호 (남대문로2가)4535러브안경2018-08-09 13:44:42I2018-08-31 23:59:59.0<NA>198354.121882451309.7362941111111110.0
13010000PHMB21990301003308220000219901030<NA>1영업/정상13영업중<NA><NA><NA><NA>02-756-8519<NA>100804서울특별시 중구 남창동 50-13호 지상1층서울특별시 중구 남대문시장4길 24-1 (남창동)4528친절사안경원2019-07-02 09:53:16U2019-07-04 02:40:00.0<NA>197910.589096450759.5791671111111110.0
23010000PHMB21990301003308220000319901108<NA>3폐업3폐업20150323<NA><NA><NA>755-6634<NA>100092서울특별시 중구 남대문로2가 123번지 명동지하상가 라-1서울특별시 중구 남대문로 67 (남대문로2가, 명동지하상가 라-1)100092로즈안경2015-03-23 16:20:45I2018-08-31 23:59:59.0<NA>198315.532747451248.14161111111110.0
33010000PHMB21990301003308220000419901114<NA>3폐업3폐업<NA>20060206<NA><NA><NA><NA>100826서울특별시 중구 신당4동 333-173<NA><NA>원안경2008-12-06 13:12:44I2018-08-31 23:59:59.0<NA><NA><NA>1111111110.0
43010000PHMB21990301003308220000519901124<NA>3폐업3폐업20110623<NA><NA><NA>777-6789<NA>100070서울특별시 중구 소공로1가 롯데1번가 롯데백화점 (지하51호)<NA><NA>세란안경2011-06-23 16:58:53I2018-08-31 23:59:59.0<NA><NA><NA>1111111110.0
53010000PHMB21990301003308220000619901201<NA>3폐업3폐업20141208<NA><NA><NA>756-6155<NA>100714서울특별시 중구 남대문로5가 541번지서울특별시 중구 한강대로 416 (남대문로5가)100714이태리안경2014-12-08 16:55:55I2018-08-31 23:59:59.0<NA>197620.676445450361.5061121111111110.0
63010000PHMB2199030100330822000071990-12-11<NA>3폐업3폐업2023-10-17<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 남대문시장2길 7, 1층 (남창동)4528세기안경상사2023-10-17 16:31:41U2022-10-30 23:09:00.0<NA>197866.479916450823.535986<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73010000PHMB21990301003308220000819901224<NA>3폐업3폐업<NA>20080619<NA><NA>776-0082<NA>100094서울특별시 중구 남대문로4가 20-40<NA><NA>영안경2008-12-06 13:12:44I2018-08-31 23:59:59.0<NA><NA><NA>1111111110.0
83010000PHMB21990301003308220000919901227<NA>1영업/정상13영업중<NA><NA><NA><NA>02-755-4630<NA>100060서울특별시 중구 남창동 281번지 17호서울특별시 중구 퇴계로 37 (남창동)4528남문안경2021-03-11 16:30:52U2021-03-13 02:40:00.0<NA>197839.196674450686.2039961111111110.0
93010000PHMB21991301003308220000119910117<NA>1영업/정상13영업중<NA><NA><NA><NA>2267-7866<NA>100786서울특별시 중구 을지로4가 310번지 68호 삼풍상가109호서울특별시 중구 을지로 158, 109호 (을지로4가, 삼풍상가)4548진양안경2019-07-02 09:51:08U2019-07-04 02:40:00.0<NA>199540.014446451538.6694671111111110.0
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)시력표수표본렌즈수측정의자수동공거리측정기수정점굴절계기수조제용연마기수렌즈절단기수가열기수안경세척기수총면적
5323010000PHMB2202330100330822000022023-03-16<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 다산로 171, 1층 (신당동)4608미소안경2023-03-16 17:56:31I2022-12-02 23:08:00.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
5333010000PHMB2202330100330822000032023-03-23<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 봉래동2가 122-11 경부고속철도서울민자역사서울특별시 중구 한강대로 405, 경부고속철도서울민자역사 (봉래동2가)4509아프리카안경 롯데아울렛서울역점2024-04-04 10:11:35U2023-12-04 00:06:00.0<NA>197229.761423450418.159244<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
5343010000PHMB2202330100330822000042013-05-09<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 수표로 28, 102호 (저동2가)4555아인안경2023-04-17 14:03:16I2022-12-03 23:09:00.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
5353010000PHMB2202330100330822000052023-04-19<NA>1영업/정상13영업중<NA><NA><NA><NA>02-436-1115<NA><NA>서울특별시 중구 충무로4가 306 남산 센트럴 자이서울특별시 중구 퇴계로 235, 1층 112호 (충무로4가, 남산 센트럴 자이)4558비전앤하드렌즈샵2023-04-19 13:21:37I2022-12-03 22:01:00.0<NA>199733.225714451140.879758<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
5363010000PHMB2202330100330822000062023-05-25<NA>1영업/정상13영업중<NA><NA><NA><NA>070-8888-2518<NA><NA>서울특별시 중구 남창동 52-1 남대문코코클럽서울특별시 중구 남대문시장4길 32, 남대문코코클럽 지하1층 8호 (남창동)4528다하오안경2023-05-25 17:24:39I2022-12-04 22:07:00.0<NA>197902.146083450720.711317<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
5373010000PHMB2202330100330822000072023-09-18<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 명동8나길 2-1 (충무로1가)4536하파크리스틴 명동점2023-09-18 16:52:05I2022-12-08 22:00:00.0<NA>198581.600405451036.479975<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
5383010000PHMB2202330100330822000082023-10-27<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6031-0028<NA><NA>서울특별시 중구 을지로2가 203 파인에비뉴서울특별시 중구 을지로 100, 파인에비뉴 B동 1층 (을지로2가)4551브리즘 을지로점2023-10-27 09:21:03I2022-10-30 22:09:00.0<NA>198921.241301451495.985361<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
5393010000PHMB2202330100330822000092023-12-18<NA>1영업/정상13영업중<NA><NA><NA><NA>02-774-7748<NA><NA><NA>서울특별시 중구 명동8가길 21, 1,2층 (충무로2가)4537바니스튜디오안경2024-03-29 16:36:37U2023-12-02 21:01:00.0<NA>198717.33058451066.41524<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
5403010000PHMB2202430100330822000012024-01-08<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 명동1가 59-5 타임워크명동빌딩서울특별시 중구 남대문로 78, 타임워크명동빌딩 2층 (명동1가)4534일생안경2024-01-08 17:32:36I2023-11-30 23:00:00.0<NA>198433.903212451323.21629<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
5413010000PHMB2202430100330822000022024-02-20<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 황학동 2545 롯데캐슬베네치아서울특별시 중구 청계천로 400, 지하2층 (황학동, 롯데캐슬베네치아)4572프렛안경원2024-02-20 15:19:09I2023-12-01 22:02:00.0<NA>201823.908977452076.818664<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>