Overview

Dataset statistics

Number of variables30
Number of observations113
Missing cells1138
Missing cells (%)33.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory28.5 KiB
Average record size in memory258.2 B

Variable types

Categorical9
Numeric4
DateTime4
Unsupported8
Text5

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),축산업무구분명,축산물가공업구분명,축산일련번호,권리주체일련번호,총인원
Author종로구
URLhttps://data.seoul.go.kr/dataList/OA-16516/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
총인원 is highly imbalanced (77.9%)Imbalance
인허가취소일자 has 113 (100.0%) missing valuesMissing
폐업일자 has 82 (72.6%) missing valuesMissing
휴업시작일자 has 113 (100.0%) missing valuesMissing
휴업종료일자 has 113 (100.0%) missing valuesMissing
재개업일자 has 113 (100.0%) missing valuesMissing
전화번호 has 48 (42.5%) missing valuesMissing
소재지면적 has 75 (66.4%) missing valuesMissing
소재지우편번호 has 113 (100.0%) missing valuesMissing
지번주소 has 7 (6.2%) missing valuesMissing
도로명주소 has 5 (4.4%) missing valuesMissing
도로명우편번호 has 5 (4.4%) missing valuesMissing
업태구분명 has 113 (100.0%) missing valuesMissing
좌표정보(X) has 6 (5.3%) missing valuesMissing
좌표정보(Y) has 6 (5.3%) missing valuesMissing
축산물가공업구분명 has 113 (100.0%) missing valuesMissing
축산일련번호 has 113 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
최종수정일자 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지우편번호 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
축산물가공업구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
축산일련번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 has 33 (29.2%) zerosZeros

Reproduction

Analysis started2024-05-11 05:42:24.763681
Analysis finished2024-05-11 05:42:25.331033
Duration0.57 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
3000000
113 

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 113
100.0%

Length

2024-05-11T14:42:25.403169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:42:25.503196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3000000 113
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct113
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3 × 1017
Minimum3 × 1017
Maximum3 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-05-11T14:42:25.646652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3 × 1017
5-th percentile3 × 1017
Q13 × 1017
median3 × 1017
Q33 × 1017
95-th percentile3 × 1017
Maximum3 × 1017
Range200007
Interquartile range (IQR)50048

Descriptive statistics

Standard deviation46743.16
Coefficient of variation (CV)1.5581053 × 10-13
Kurtosis2.4955597
Mean3 × 1017
Median Absolute Deviation (MAD)20032
Skewness-1.6032874
Sum-2.993488 × 1018
Variance2.184923 × 109
MonotonicityStrictly increasing
2024-05-11T14:42:25.863157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
300000001120040001 1
 
0.9%
300000001120220011 1
 
0.9%
300000001120220009 1
 
0.9%
300000001120220008 1
 
0.9%
300000001120220007 1
 
0.9%
300000001120220006 1
 
0.9%
300000001120220005 1
 
0.9%
300000001120220004 1
 
0.9%
300000001120220003 1
 
0.9%
300000001120220002 1
 
0.9%
Other values (103) 103
91.2%
ValueCountFrequency (%)
300000001120040001 1
0.9%
300000001120040002 1
0.9%
300000001120040003 1
0.9%
300000001120040004 1
0.9%
300000001120060001 1
0.9%
300000001120070001 1
0.9%
300000001120120001 1
0.9%
300000001120130001 1
0.9%
300000001120130002 1
0.9%
300000001120130003 1
0.9%
ValueCountFrequency (%)
300000001120240008 1
0.9%
300000001120240007 1
0.9%
300000001120240006 1
0.9%
300000001120240005 1
0.9%
300000001120240004 1
0.9%
300000001120240003 1
0.9%
300000001120240002 1
0.9%
300000001120240001 1
0.9%
300000001120230019 1
0.9%
300000001120230018 1
0.9%

인허가일자
Date

Distinct107
Distinct (%)94.7%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
Minimum2004-04-14 00:00:00
Maximum2024-04-19 00:00:00
2024-05-11T14:42:26.032387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:42:26.177834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing113
Missing (%)100.0%
Memory size1.1 KiB

영업상태코드
Categorical

Distinct3
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
1
81 
3
31 
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
1 81
71.7%
3 31
 
27.4%
4 1
 
0.9%

Length

2024-05-11T14:42:26.326298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:42:26.496498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 81
71.7%
3 31
 
27.4%
4 1
 
0.9%

영업상태명
Categorical

Distinct3
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
영업/정상
81 
폐업
31 
취소/말소/만료/정지/중지
 
1

Length

Max length14
Median length5
Mean length4.2566372
Min length2

Unique

Unique1 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 81
71.7%
폐업 31
 
27.4%
취소/말소/만료/정지/중지 1
 
0.9%

Length

2024-05-11T14:42:26.695919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:42:26.831848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 81
71.7%
폐업 31
 
27.4%
취소/말소/만료/정지/중지 1
 
0.9%

상세영업상태코드
Categorical

Distinct3
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
0
81 
2
31 
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.9%

Sample

1st row0
2nd row2
3rd row2
4th row2
5th row2

Common Values

ValueCountFrequency (%)
0 81
71.7%
2 31
 
27.4%
4 1
 
0.9%

Length

2024-05-11T14:42:26.957271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:42:27.077297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 81
71.7%
2 31
 
27.4%
4 1
 
0.9%

상세영업상태명
Categorical

Distinct3
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
정상
81 
폐업
31 
말소
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique1 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
정상 81
71.7%
폐업 31
 
27.4%
말소 1
 
0.9%

Length

2024-05-11T14:42:27.205928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:42:27.325208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 81
71.7%
폐업 31
 
27.4%
말소 1
 
0.9%

폐업일자
Date

MISSING 

Distinct31
Distinct (%)100.0%
Missing82
Missing (%)72.6%
Memory size1.0 KiB
Minimum2005-10-10 00:00:00
Maximum2023-08-11 00:00:00
2024-05-11T14:42:27.430845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:42:27.594008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing113
Missing (%)100.0%
Memory size1.1 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing113
Missing (%)100.0%
Memory size1.1 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing113
Missing (%)100.0%
Memory size1.1 KiB

전화번호
Text

MISSING 

Distinct63
Distinct (%)96.9%
Missing48
Missing (%)42.5%
Memory size1.0 KiB
2024-05-11T14:42:27.875245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length10.630769
Min length7

Characters and Unicode

Total characters691
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

Unique62 ?
Unique (%)95.4%

Sample

1st row739-9302
2nd row730-5503
3rd row730-4884
4th row741-8685
5th row02-741-8685
ValueCountFrequency (%)
02-723-6209 3
 
4.6%
0507-1418-7171 1
 
1.5%
739-9302 1
 
1.5%
0507-1349-3949 1
 
1.5%
02-2285-5702 1
 
1.5%
02-720-1777 1
 
1.5%
02-7444-7233 1
 
1.5%
0222639666 1
 
1.5%
027630902 1
 
1.5%
027659997 1
 
1.5%
Other values (53) 53
81.5%
2024-05-11T14:42:28.416576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 104
15.1%
2 104
15.1%
- 100
14.5%
7 81
11.7%
3 72
10.4%
6 50
7.2%
9 44
6.4%
4 44
6.4%
5 35
 
5.1%
8 35
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 591
85.5%
Dash Punctuation 100
 
14.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 104
17.6%
2 104
17.6%
7 81
13.7%
3 72
12.2%
6 50
8.5%
9 44
7.4%
4 44
7.4%
5 35
 
5.9%
8 35
 
5.9%
1 22
 
3.7%
Dash Punctuation
ValueCountFrequency (%)
- 100
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 691
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 104
15.1%
2 104
15.1%
- 100
14.5%
7 81
11.7%
3 72
10.4%
6 50
7.2%
9 44
6.4%
4 44
6.4%
5 35
 
5.1%
8 35
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 691
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 104
15.1%
2 104
15.1%
- 100
14.5%
7 81
11.7%
3 72
10.4%
6 50
7.2%
9 44
6.4%
4 44
6.4%
5 35
 
5.1%
8 35
 
5.1%

소재지면적
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)15.8%
Missing75
Missing (%)66.4%
Infinite0
Infinite (%)0.0%
Mean7.6289474
Minimum0
Maximum96
Zeros33
Zeros (%)29.2%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-05-11T14:42:28.587074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile61.83
Maximum96
Range96
Interquartile range (IQR)0

Descriptive statistics

Standard deviation22.246869
Coefficient of variation (CV)2.9161126
Kurtosis8.1307084
Mean7.6289474
Median Absolute Deviation (MAD)0
Skewness2.9757668
Sum289.9
Variance494.92319
MonotonicityNot monotonic
2024-05-11T14:42:28.738010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0.0 33
29.2%
50.4 1
 
0.9%
12.7 1
 
0.9%
70.5 1
 
0.9%
60.3 1
 
0.9%
96.0 1
 
0.9%
(Missing) 75
66.4%
ValueCountFrequency (%)
0.0 33
29.2%
12.7 1
 
0.9%
50.4 1
 
0.9%
60.3 1
 
0.9%
70.5 1
 
0.9%
96.0 1
 
0.9%
ValueCountFrequency (%)
96.0 1
 
0.9%
70.5 1
 
0.9%
60.3 1
 
0.9%
50.4 1
 
0.9%
12.7 1
 
0.9%
0.0 33
29.2%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing113
Missing (%)100.0%
Memory size1.1 KiB

지번주소
Text

MISSING 

Distinct99
Distinct (%)93.4%
Missing7
Missing (%)6.2%
Memory size1.0 KiB
2024-05-11T14:42:29.132349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length31
Mean length23.254717
Min length14

Characters and Unicode

Total characters2465
Distinct characters137
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

Unique92 ?
Unique (%)86.8%

Sample

1st row서울특별시 종로구 신문로1가 1-1번지
2nd row서울특별시 종로구 종로1가 33-1번지 1통
3rd row서울특별시 종로구 신문로2가 1-400 번지
4th row서울특별시 종로구 종로5가 27-1 번지
5th row서울특별시 종로구 종로5가 27-1 번지 지상1층
ValueCountFrequency (%)
서울특별시 106
21.1%
종로구 106
21.1%
종로5가 20
 
4.0%
경희궁자이 9
 
1.8%
종로4가 7
 
1.4%
평동 7
 
1.4%
창신동 7
 
1.4%
종로1가 6
 
1.2%
명륜4가 6
 
1.2%
신문로1가 5
 
1.0%
Other values (170) 224
44.5%
2024-05-11T14:42:29.675170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
453
18.4%
로 159
 
6.5%
종 156
 
6.3%
서 109
 
4.4%
구 109
 
4.4%
1 109
 
4.4%
시 108
 
4.4%
울 107
 
4.3%
특 106
 
4.3%
별 106
 
4.3%
Other values (127) 943
38.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1517
61.5%
Space Separator 453
 
18.4%
Decimal Number 436
 
17.7%
Dash Punctuation 56
 
2.3%
Other Punctuation 2
 
0.1%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 159
 
10.5%
종 156
 
10.3%
서 109
 
7.2%
구 109
 
7.2%
시 108
 
7.1%
울 107
 
7.1%
특 106
 
7.0%
별 106
 
7.0%
동 59
 
3.9%
가 56
 
3.7%
Other values (112) 442
29.1%
Decimal Number
ValueCountFrequency (%)
1 109
25.0%
2 65
14.9%
3 54
12.4%
4 49
11.2%
5 40
 
9.2%
6 30
 
6.9%
0 29
 
6.7%
9 25
 
5.7%
7 18
 
4.1%
8 17
 
3.9%
Other Punctuation
ValueCountFrequency (%)
. 1
50.0%
, 1
50.0%
Space Separator
ValueCountFrequency (%)
453
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 56
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1517
61.5%
Common 947
38.4%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 159
 
10.5%
종 156
 
10.3%
서 109
 
7.2%
구 109
 
7.2%
시 108
 
7.1%
울 107
 
7.1%
특 106
 
7.0%
별 106
 
7.0%
동 59
 
3.9%
가 56
 
3.7%
Other values (112) 442
29.1%
Common
ValueCountFrequency (%)
453
47.8%
1 109
 
11.5%
2 65
 
6.9%
- 56
 
5.9%
3 54
 
5.7%
4 49
 
5.2%
5 40
 
4.2%
6 30
 
3.2%
0 29
 
3.1%
9 25
 
2.6%
Other values (4) 37
 
3.9%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1517
61.5%
ASCII 948
38.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
453
47.8%
1 109
 
11.5%
2 65
 
6.9%
- 56
 
5.9%
3 54
 
5.7%
4 49
 
5.2%
5 40
 
4.2%
6 30
 
3.2%
0 29
 
3.1%
9 25
 
2.6%
Other values (5) 38
 
4.0%
Hangul
ValueCountFrequency (%)
로 159
 
10.5%
종 156
 
10.3%
서 109
 
7.2%
구 109
 
7.2%
시 108
 
7.1%
울 107
 
7.1%
특 106
 
7.0%
별 106
 
7.0%
동 59
 
3.9%
가 56
 
3.7%
Other values (112) 442
29.1%

도로명주소
Text

MISSING 

Distinct104
Distinct (%)96.3%
Missing5
Missing (%)4.4%
Memory size1.0 KiB
2024-05-11T14:42:30.197399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length42.5
Mean length31.407407
Min length21

Characters and Unicode

Total characters3392
Distinct characters158
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

Unique101 ?
Unique (%)93.5%

Sample

1st row서울특별시 종로구 종로 232 (종로5가)
2nd row서울특별시 종로구 새문안로 103-1 (신문로1가)
3rd row서울특별시 종로구 종로 267-1 (종로6가)
4th row서울특별시 종로구 새문안로 19 (평동)
5th row서울특별시 종로구 지봉로 77-3 (창신동)
ValueCountFrequency (%)
서울특별시 108
 
15.5%
종로구 108
 
15.5%
1층 46
 
6.6%
종로 45
 
6.4%
종로5가 18
 
2.6%
경희궁자이 10
 
1.4%
창신동 8
 
1.1%
평동 7
 
1.0%
새문안로 7
 
1.0%
송월길 6
 
0.9%
Other values (228) 336
48.1%
2024-05-11T14:42:30.894655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
591
 
17.4%
로 252
 
7.4%
종 204
 
6.0%
1 163
 
4.8%
서 111
 
3.3%
구 111
 
3.3%
시 110
 
3.2%
울 109
 
3.2%
( 108
 
3.2%
특 108
 
3.2%
Other values (148) 1525
45.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1899
56.0%
Space Separator 591
 
17.4%
Decimal Number 557
 
16.4%
Open Punctuation 108
 
3.2%
Close Punctuation 108
 
3.2%
Other Punctuation 100
 
2.9%
Dash Punctuation 25
 
0.7%
Uppercase Letter 3
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 252
 
13.3%
종 204
 
10.7%
서 111
 
5.8%
구 111
 
5.8%
시 110
 
5.8%
울 109
 
5.7%
특 108
 
5.7%
별 108
 
5.7%
동 71
 
3.7%
층 61
 
3.2%
Other values (129) 654
34.4%
Decimal Number
ValueCountFrequency (%)
1 163
29.3%
2 86
15.4%
3 82
14.7%
5 54
 
9.7%
4 52
 
9.3%
6 28
 
5.0%
9 27
 
4.8%
0 27
 
4.8%
7 24
 
4.3%
8 14
 
2.5%
Other Punctuation
ValueCountFrequency (%)
, 99
99.0%
. 1
 
1.0%
Uppercase Letter
ValueCountFrequency (%)
B 2
66.7%
D 1
33.3%
Space Separator
ValueCountFrequency (%)
591
100.0%
Open Punctuation
ValueCountFrequency (%)
( 108
100.0%
Close Punctuation
ValueCountFrequency (%)
) 108
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 25
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1899
56.0%
Common 1490
43.9%
Latin 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 252
 
13.3%
종 204
 
10.7%
서 111
 
5.8%
구 111
 
5.8%
시 110
 
5.8%
울 109
 
5.7%
특 108
 
5.7%
별 108
 
5.7%
동 71
 
3.7%
층 61
 
3.2%
Other values (129) 654
34.4%
Common
ValueCountFrequency (%)
591
39.7%
1 163
 
10.9%
( 108
 
7.2%
) 108
 
7.2%
, 99
 
6.6%
2 86
 
5.8%
3 82
 
5.5%
5 54
 
3.6%
4 52
 
3.5%
6 28
 
1.9%
Other values (7) 119
 
8.0%
Latin
ValueCountFrequency (%)
B 2
66.7%
D 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1899
56.0%
ASCII 1493
44.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
591
39.6%
1 163
 
10.9%
( 108
 
7.2%
) 108
 
7.2%
, 99
 
6.6%
2 86
 
5.8%
3 82
 
5.5%
5 54
 
3.6%
4 52
 
3.5%
6 28
 
1.9%
Other values (9) 122
 
8.2%
Hangul
ValueCountFrequency (%)
로 252
 
13.3%
종 204
 
10.7%
서 111
 
5.8%
구 111
 
5.8%
시 110
 
5.8%
울 109
 
5.7%
특 108
 
5.7%
별 108
 
5.7%
동 71
 
3.7%
층 61
 
3.2%
Other values (129) 654
34.4%

도로명우편번호
Text

MISSING 

Distinct52
Distinct (%)48.1%
Missing5
Missing (%)4.4%
Memory size1.0 KiB
2024-05-11T14:42:31.198684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.0185185
Min length5

Characters and Unicode

Total characters542
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

Unique29 ?
Unique (%)26.9%

Sample

1st row03196
2nd row03183
3rd row03124
4th row03181
5th row03095
ValueCountFrequency (%)
03126 8
 
7.4%
03196 7
 
6.5%
03165 6
 
5.6%
03157 5
 
4.6%
03180 5
 
4.6%
03129 4
 
3.7%
03130 4
 
3.7%
03079 4
 
3.7%
03182 3
 
2.8%
03104 3
 
2.8%
Other values (42) 59
54.6%
2024-05-11T14:42:31.582716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 156
28.8%
3 121
22.3%
1 97
17.9%
9 33
 
6.1%
6 30
 
5.5%
2 26
 
4.8%
5 24
 
4.4%
8 22
 
4.1%
7 20
 
3.7%
4 12
 
2.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 541
99.8%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 156
28.8%
3 121
22.4%
1 97
17.9%
9 33
 
6.1%
6 30
 
5.5%
2 26
 
4.8%
5 24
 
4.4%
8 22
 
4.1%
7 20
 
3.7%
4 12
 
2.2%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 542
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 156
28.8%
3 121
22.3%
1 97
17.9%
9 33
 
6.1%
6 30
 
5.5%
2 26
 
4.8%
5 24
 
4.4%
8 22
 
4.1%
7 20
 
3.7%
4 12
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 542
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 156
28.8%
3 121
22.3%
1 97
17.9%
9 33
 
6.1%
6 30
 
5.5%
2 26
 
4.8%
5 24
 
4.4%
8 22
 
4.1%
7 20
 
3.7%
4 12
 
2.2%

사업장명
Text

Distinct104
Distinct (%)92.0%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2024-05-11T14:42:31.928082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length5.1327434
Min length3

Characters and Unicode

Total characters580
Distinct characters140
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique96 ?
Unique (%)85.0%

Sample

1st row삼오약국
2nd row올리브약국
3rd row메디온정문약국
4th row원창약국
5th row원창약국
ValueCountFrequency (%)
파란문약국 3
 
2.6%
백수약국 2
 
1.7%
경희궁햇살약국 2
 
1.7%
원창약국 2
 
1.7%
종로백제약국 2
 
1.7%
한누리약국 2
 
1.7%
세검정약국 2
 
1.7%
새명성약국 2
 
1.7%
유성약국 1
 
0.9%
하늘약국 1
 
0.9%
Other values (96) 96
83.5%
2024-05-11T14:42:32.386070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
국 114
19.7%
약 113
19.5%
종 20
 
3.4%
로 19
 
3.3%
리 9
 
1.6%
신 8
 
1.4%
문 8
 
1.4%
화 7
 
1.2%
한 7
 
1.2%
온 7
 
1.2%
Other values (130) 268
46.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 568
97.9%
Decimal Number 7
 
1.2%
Uppercase Letter 3
 
0.5%
Space Separator 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
국 114
20.1%
약 113
19.9%
종 20
 
3.5%
로 19
 
3.3%
리 9
 
1.6%
신 8
 
1.4%
문 8
 
1.4%
화 7
 
1.2%
한 7
 
1.2%
온 7
 
1.2%
Other values (121) 256
45.1%
Decimal Number
ValueCountFrequency (%)
3 2
28.6%
5 2
28.6%
2 1
14.3%
1 1
14.3%
6 1
14.3%
Uppercase Letter
ValueCountFrequency (%)
D 1
33.3%
C 1
33.3%
M 1
33.3%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 568
97.9%
Common 9
 
1.6%
Latin 3
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
국 114
20.1%
약 113
19.9%
종 20
 
3.5%
로 19
 
3.3%
리 9
 
1.6%
신 8
 
1.4%
문 8
 
1.4%
화 7
 
1.2%
한 7
 
1.2%
온 7
 
1.2%
Other values (121) 256
45.1%
Common
ValueCountFrequency (%)
3 2
22.2%
5 2
22.2%
2
22.2%
2 1
11.1%
1 1
11.1%
6 1
11.1%
Latin
ValueCountFrequency (%)
D 1
33.3%
C 1
33.3%
M 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 568
97.9%
ASCII 12
 
2.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
국 114
20.1%
약 113
19.9%
종 20
 
3.5%
로 19
 
3.3%
리 9
 
1.6%
신 8
 
1.4%
문 8
 
1.4%
화 7
 
1.2%
한 7
 
1.2%
온 7
 
1.2%
Other values (121) 256
45.1%
ASCII
ValueCountFrequency (%)
3 2
16.7%
5 2
16.7%
2
16.7%
D 1
8.3%
2 1
8.3%
1 1
8.3%
6 1
8.3%
C 1
8.3%
M 1
8.3%

최종수정일자
Date

UNIQUE 

Distinct113
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
Minimum2004-04-14 09:52:48
Maximum2024-04-19 15:04:19
2024-05-11T14:42:32.543741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:42:33.021176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
I
82 
U
31 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 82
72.6%
U 31
 
27.4%

Length

2024-05-11T14:42:33.200030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:42:33.336120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 82
72.6%
u 31
 
27.4%

데이터갱신일자
Date

Distinct75
Distinct (%)66.4%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:05:00
2024-05-11T14:42:33.509947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:42:33.672282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing113
Missing (%)100.0%
Memory size1.1 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct89
Distinct (%)83.2%
Missing6
Missing (%)5.3%
Infinite0
Infinite (%)0.0%
Mean198861.13
Minimum196092.74
Maximum201902.81
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-05-11T14:42:33.859078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum196092.74
5-th percentile196522.37
Q1197483.23
median199088.1
Q3200130.65
95-th percentile201273.84
Maximum201902.81
Range5810.0632
Interquartile range (IQR)2647.42

Descriptive statistics

Standard deviation1563.3519
Coefficient of variation (CV)0.0078615258
Kurtosis-1.288123
Mean198861.13
Median Absolute Deviation (MAD)1171.6497
Skewness-0.12433253
Sum21278141
Variance2444069.1
MonotonicityNot monotonic
2024-05-11T14:42:34.022841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
198150.300374121 4
 
3.5%
196992.0 4
 
3.5%
201276.672713985 3
 
2.7%
200283.081116867 2
 
1.8%
197643.965207382 2
 
1.8%
197539.970819724 2
 
1.8%
200259.754525539 2
 
1.8%
196522.366959975 2
 
1.8%
200181.146934518 2
 
1.8%
196557.462118676 2
 
1.8%
Other values (79) 82
72.6%
(Missing) 6
 
5.3%
ValueCountFrequency (%)
196092.743907822 1
0.9%
196156.927737704 1
0.9%
196261.784318902 1
0.9%
196278.554670262 1
0.9%
196329.160090286 1
0.9%
196522.366959975 2
1.8%
196557.462118676 2
1.8%
196563.0 1
0.9%
196711.145267511 2
1.8%
196711.256846666 1
0.9%
ValueCountFrequency (%)
201902.807079609 1
 
0.9%
201350.473375538 1
 
0.9%
201294.782989882 1
 
0.9%
201276.672713985 3
2.7%
201267.220553388 1
 
0.9%
201223.533789596 1
 
0.9%
200859.564314933 1
 
0.9%
200854.03612958 1
 
0.9%
200647.01325068 1
 
0.9%
200548.121589545 1
 
0.9%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct89
Distinct (%)83.2%
Missing6
Missing (%)5.3%
Infinite0
Infinite (%)0.0%
Mean452476.65
Minimum451682.19
Maximum456198.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-05-11T14:42:34.190186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum451682.19
5-th percentile451805
Q1452045.25
median452114.87
Q3452623.68
95-th percentile453691.88
Maximum456198.6
Range4516.4089
Interquartile range (IQR)578.43194

Descriptive statistics

Standard deviation883.57323
Coefficient of variation (CV)0.0019527488
Kurtosis8.3275461
Mean452476.65
Median Absolute Deviation (MAD)132.48526
Skewness2.7877101
Sum48415001
Variance780701.66
MonotonicityNot monotonic
2024-05-11T14:42:34.330239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
452019.212642931 4
 
3.5%
451805.0 4
 
3.5%
452735.604634862 3
 
2.7%
452107.769442271 2
 
1.8%
452015.02340447 2
 
1.8%
452504.064126045 2
 
1.8%
452113.150872578 2
 
1.8%
452140.273047242 2
 
1.8%
452053.510196786 2
 
1.8%
455479.388346619 2
 
1.8%
Other values (79) 82
72.6%
(Missing) 6
 
5.3%
ValueCountFrequency (%)
451682.186997114 1
 
0.9%
451683.728773742 1
 
0.9%
451690.586861352 1
 
0.9%
451733.540405524 1
 
0.9%
451805.0 4
3.5%
451911.201334206 1
 
0.9%
451950.125134119 1
 
0.9%
451963.25773821 1
 
0.9%
451981.453721531 1
 
0.9%
451982.38164359 1
 
0.9%
ValueCountFrequency (%)
456198.595931715 1
0.9%
456061.273724198 1
0.9%
456053.759563793 1
0.9%
455479.388346619 2
1.8%
453752.884670275 1
0.9%
453549.526436303 1
0.9%
453436.638718613 1
0.9%
453427.311549864 1
0.9%
453421.12199907 1
0.9%
453314.712100549 1
0.9%

축산업무구분명
Categorical

Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
동물약국
63 
<NA>
50 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
동물약국 63
55.8%
<NA> 50
44.2%

Length

2024-05-11T14:42:34.446092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:42:34.548027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동물약국 63
55.8%
na 50
44.2%

축산물가공업구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing113
Missing (%)100.0%
Memory size1.1 KiB

축산일련번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing113
Missing (%)100.0%
Memory size1.1 KiB

권리주체일련번호
Categorical

Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
0
63 
<NA>
50 

Length

Max length4
Median length1
Mean length2.3274336
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 63
55.8%
<NA> 50
44.2%

Length

2024-05-11T14:42:34.674012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:42:34.790929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 63
55.8%
na 50
44.2%

총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
<NA>
109 
0
 
4

Length

Max length4
Median length4
Mean length3.8938053
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 109
96.5%
0 4
 
3.5%

Length

2024-05-11T14:42:34.938809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:42:35.068300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 109
96.5%
0 4
 
3.5%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
0300000030000000112004000120040414<NA>1영업/정상0정상<NA><NA><NA><NA>739-930250.4<NA>서울특별시 종로구 신문로1가 1-1번지<NA><NA>삼오약국2004-04-14 09:52:48I2018-08-31 23:59:59.0<NA>197826.356739452021.760314동물약국<NA><NA>0<NA>
1300000030000000112004000220040615<NA>3폐업2폐업20051010<NA><NA><NA>730-550312.7<NA>서울특별시 종로구 종로1가 33-1번지 1통<NA><NA>올리브약국2005-10-10 15:22:30I2018-08-31 23:59:59.0<NA><NA><NA>동물약국<NA><NA>0<NA>
2300000030000000112004000320040803<NA>3폐업2폐업20070406<NA><NA><NA>730-488470.5<NA>서울특별시 종로구 신문로2가 1-400 번지<NA><NA>메디온정문약국2007-04-06 10:02:18I2018-08-31 23:59:59.0<NA><NA><NA>동물약국<NA><NA>0<NA>
3300000030000000112004000420040803<NA>3폐업2폐업20061114<NA><NA><NA>741-868560.3<NA>서울특별시 종로구 종로5가 27-1 번지<NA><NA>원창약국2006-11-15 09:41:15I2018-08-31 23:59:59.0<NA><NA><NA>동물약국<NA><NA>0<NA>
4300000030000000112006000120061115<NA>3폐업2폐업20071207<NA><NA><NA>02-741-868596.0<NA>서울특별시 종로구 종로5가 27-1 번지 지상1층<NA><NA>원창약국2007-12-10 11:11:21I2018-08-31 23:59:59.0<NA><NA><NA>동물약국<NA><NA>0<NA>
5300000030000000112007000120070205<NA>3폐업2폐업20141107<NA><NA><NA>3675-75820.0<NA><NA>서울특별시 종로구 종로 232 (종로5가)03196세계로유한약국2014-11-07 15:44:44I2018-08-31 23:59:59.0<NA>200241.893319452052.794061동물약국<NA><NA>0<NA>
6300000030000000112012000120120611<NA>1영업/정상0정상<NA><NA><NA><NA>02-739-9302<NA><NA>서울특별시 종로구 신문로1가 1-1번지서울특별시 종로구 새문안로 103-1 (신문로1가)03183삼원약국2012-06-11 10:24:22I2018-08-31 23:59:59.0<NA>197826.356739452021.760314동물약국<NA><NA>0<NA>
730000003000000011201300012013-01-11<NA>3폐업2폐업2023-02-21<NA><NA><NA>02227702340.0<NA>서울특별시 종로구 종로6가서울특별시 종로구 종로 267-1 (종로6가)03124신동화약국2023-02-21 17:06:51U2022-12-01 22:03:00.0<NA><NA><NA><NA><NA><NA><NA><NA>
8300000030000000112013000220130503<NA>1영업/정상0정상<NA><NA><NA><NA>720-03330.0<NA>서울특별시 종로구 평동 180번지서울특별시 종로구 새문안로 19 (평동)03181푸른온누리약국2016-09-09 10:28:39I2018-08-31 23:59:59.0<NA>197094.551653451683.728774동물약국<NA><NA>0<NA>
9300000030000000112013000320130607<NA>1영업/정상0정상<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 지봉로 77-3 (창신동)03095사랑온누리약국2013-06-07 21:20:07I2018-08-31 23:59:59.0<NA>201276.672714452735.604635동물약국<NA><NA>0<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
10330000003000000011202300182023-10-20<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0.0<NA>서울특별시 종로구 내자동 67-1서울특별시 종로구 자하문로 1, 1층 (내자동)03041행복약국2023-10-20 16:09:46I2022-10-30 22:02:00.0<NA>197481.471092452670.000775<NA><NA><NA><NA><NA>
10430000003000000011202300192023-12-26<NA>1영업/정상0정상<NA><NA><NA><NA>02-733-1088<NA><NA>서울특별시 종로구 안국동 73-1 3호선 안국역서울특별시 종로구 율곡로 지하62, 3호선 안국역 지하3층 316호 (안국동)03147문우약국2023-12-26 10:54:03I2022-11-01 22:08:00.0<NA>198563.138038452739.759362<NA><NA><NA><NA><NA>
10530000003000000011202400012024-01-09<NA>1영업/정상0정상<NA><NA><NA><NA>0507-1363-7470<NA><NA>서울특별시 종로구 종로6가 125-1 1층서울특별시 종로구 종로 261, 1층 (종로6가)03124종로밝은약국2024-01-09 14:20:49I2023-11-30 23:01:00.0<NA>200548.12159452115.832019<NA><NA><NA><NA><NA>
10630000003000000011202400022024-01-16<NA>1영업/정상0정상<NA><NA><NA><NA>02-723-6593<NA><NA>서울특별시 종로구 청진동 136 삼공빌딩 지하1층서울특별시 종로구 종로5길 13, 삼공빌딩 지하1층 (청진동)03157힐링약국2024-01-16 17:39:52I2023-11-30 23:08:00.0<NA>198207.279004452082.344196<NA><NA><NA><NA><NA>
10730000003000000011202400032024-02-05<NA>1영업/정상0정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 종로4가 2-16서울특별시 종로구 종로 199-2, 1층 (종로4가)03130새종로약국2024-02-05 13:41:34I2023-12-02 00:07:00.0<NA>199926.168965452095.076004<NA><NA><NA><NA><NA>
10830000003000000011202400042024-03-22<NA>1영업/정상0정상<NA><NA><NA><NA>02-745-8491<NA><NA>서울특별시 종로구 종로5가 20-1서울특별시 종로구 종로 243, 1층 (종로5가)03126신백제약국2024-03-22 13:26:49I2023-12-02 22:04:00.0<NA>200363.217845452115.190202<NA><NA><NA><NA><NA>
10930000003000000011202400052024-04-01<NA>1영업/정상0정상<NA><NA><NA><NA>027335300<NA><NA>서울특별시 종로구 수송동 68-1 호수빌딩 지하 1층서울특별시 종로구 삼봉로 57, 호수빌딩 지하1층 (수송동)03151호수약국2024-04-01 13:43:01I2023-12-04 00:03:00.0<NA>198205.621521452254.217603<NA><NA><NA><NA><NA>
11030000003000000011202400062024-04-03<NA>1영업/정상0정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 소격동 153서울특별시 종로구 율곡로3길 71, 1층 (소격동)03062북촌약국2024-04-03 11:04:47I2023-12-04 00:05:00.0<NA>198342.156492452939.521265<NA><NA><NA><NA><NA>
11130000003000000011202400072024-04-09<NA>1영업/정상0정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 평동 166 4.19기념도서관서울특별시 종로구 새문안로 17, 4.19기념도서관 2층 (평동)03181늘푸른약국2024-04-09 13:07:19I2023-12-03 23:01:00.0<NA>197076.316936451690.586861<NA><NA><NA><NA><NA>
11230000003000000011202400082024-04-19<NA>1영업/정상0정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 숭인동 310 종로대우디오빌서울특별시 종로구 종로 344, 1층 106호 (숭인동, 종로대우디오빌)03114동묘호약국2024-04-19 15:04:19I2023-12-03 22:01:00.0<NA>201350.473376452279.74426<NA><NA><NA><NA><NA>