Overview

Dataset statistics

Number of variables30
Number of observations126
Missing cells1228
Missing cells (%)32.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory31.9 KiB
Average record size in memory259.0 B

Variable types

Categorical9
Numeric5
DateTime4
Unsupported8
Text4

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
Author광진구
URLhttps://data.seoul.go.kr/dataList/OA-16520/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
총인원 is highly imbalanced (57.3%)Imbalance
인허가취소일자 has 126 (100.0%) missing valuesMissing
폐업일자 has 81 (64.3%) missing valuesMissing
휴업시작일자 has 126 (100.0%) missing valuesMissing
휴업종료일자 has 126 (100.0%) missing valuesMissing
재개업일자 has 126 (100.0%) missing valuesMissing
전화번호 has 39 (31.0%) missing valuesMissing
소재지면적 has 59 (46.8%) missing valuesMissing
소재지우편번호 has 126 (100.0%) missing valuesMissing
지번주소 has 3 (2.4%) missing valuesMissing
도로명주소 has 15 (11.9%) missing valuesMissing
도로명우편번호 has 15 (11.9%) missing valuesMissing
업태구분명 has 126 (100.0%) missing valuesMissing
좌표정보(X) has 4 (3.2%) missing valuesMissing
좌표정보(Y) has 4 (3.2%) missing valuesMissing
축산물가공업구분명 has 126 (100.0%) missing valuesMissing
축산일련번호 has 126 (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 58 (46.0%) zerosZeros

Reproduction

Analysis started2024-04-06 10:41:12.456324
Analysis finished2024-04-06 10:41:13.181780
Duration0.73 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
3040000
126 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3040000
2nd row3040000
3rd row3040000
4th row3040000
5th row3040000

Common Values

ValueCountFrequency (%)
3040000 126
100.0%

Length

2024-04-06T19:41:13.371166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:41:13.605168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3040000 126
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct126
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.04 × 1017
Minimum3.04 × 1017
Maximum3.04 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-04-06T19:41:13.852619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.04 × 1017
5-th percentile3.04 × 1017
Q13.04 × 1017
median3.04 × 1017
Q33.04 × 1017
95-th percentile3.04 × 1017
Maximum3.04 × 1017
Range200006
Interquartile range (IQR)90048

Descriptive statistics

Standard deviation70545.698
Coefficient of variation (CV)2.3205821 × 10-13
Kurtosis-1.0171813
Mean3.04 × 1017
Median Absolute Deviation (MAD)49984
Skewness-0.66461024
Sum1.410512 × 1018
Variance4.9766954 × 109
MonotonicityStrictly increasing
2024-04-06T19:41:14.153000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
304000001120040001 1
 
0.8%
304000001120200011 1
 
0.8%
304000001120220002 1
 
0.8%
304000001120220001 1
 
0.8%
304000001120210011 1
 
0.8%
304000001120210010 1
 
0.8%
304000001120210009 1
 
0.8%
304000001120210008 1
 
0.8%
304000001120210007 1
 
0.8%
304000001120210006 1
 
0.8%
Other values (116) 116
92.1%
ValueCountFrequency (%)
304000001120040001 1
0.8%
304000001120040002 1
0.8%
304000001120040003 1
0.8%
304000001120040004 1
0.8%
304000001120040005 1
0.8%
304000001120040006 1
0.8%
304000001120040007 1
0.8%
304000001120040008 1
0.8%
304000001120040009 1
0.8%
304000001120040010 1
0.8%
ValueCountFrequency (%)
304000001120240007 1
0.8%
304000001120240006 1
0.8%
304000001120240005 1
0.8%
304000001120240004 1
0.8%
304000001120240003 1
0.8%
304000001120240002 1
0.8%
304000001120240001 1
0.8%
304000001120230016 1
0.8%
304000001120230015 1
0.8%
304000001120230014 1
0.8%

인허가일자
Date

Distinct117
Distinct (%)92.9%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Minimum2004-03-19 00:00:00
Maximum2024-03-28 00:00:00
2024-04-06T19:41:14.447059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:41:14.868648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing126
Missing (%)100.0%
Memory size1.2 KiB

영업상태코드
Categorical

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
1
81 
3
45 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 81
64.3%
3 45
35.7%

Length

2024-04-06T19:41:15.095513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:41:15.280515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 81
64.3%
3 45
35.7%

영업상태명
Categorical

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
영업/정상
81 
폐업
45 

Length

Max length5
Median length5
Mean length3.9285714
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 81
64.3%
폐업 45
35.7%

Length

2024-04-06T19:41:15.458330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:41:15.628481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 81
64.3%
폐업 45
35.7%

상세영업상태코드
Categorical

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
0
81 
2
45 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 81
64.3%
2 45
35.7%

Length

2024-04-06T19:41:15.842506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:41:16.005080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 81
64.3%
2 45
35.7%

상세영업상태명
Categorical

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
정상
81 
폐업
45 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
정상 81
64.3%
폐업 45
35.7%

Length

2024-04-06T19:41:16.289768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:41:16.565562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 81
64.3%
폐업 45
35.7%

폐업일자
Date

MISSING 

Distinct45
Distinct (%)100.0%
Missing81
Missing (%)64.3%
Memory size1.1 KiB
Minimum2004-09-22 00:00:00
Maximum2024-03-29 00:00:00
2024-04-06T19:41:16.766542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:41:17.036667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing126
Missing (%)100.0%
Memory size1.2 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing126
Missing (%)100.0%
Memory size1.2 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing126
Missing (%)100.0%
Memory size1.2 KiB

전화번호
Text

MISSING 

Distinct83
Distinct (%)95.4%
Missing39
Missing (%)31.0%
Memory size1.1 KiB
2024-04-06T19:41:17.509069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length9.5862069
Min length8

Characters and Unicode

Total characters834
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

Unique79 ?
Unique (%)90.8%

Sample

1st row02-453-4341
2nd row447-2998
3rd row447-7048
4th row3437-3027
5th row447-9708
ValueCountFrequency (%)
444-0274 2
 
2.3%
466-4696 2
 
2.3%
3437-3027 2
 
2.3%
02-456-8209 2
 
2.3%
02-3437-3027 1
 
1.1%
02-456-7778 1
 
1.1%
02-462-0095 1
 
1.1%
02-454-8827 1
 
1.1%
02-457-7999 1
 
1.1%
02-468-0259 1
 
1.1%
Other values (73) 73
83.9%
2024-04-06T19:41:18.264674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 138
16.5%
- 118
14.1%
0 109
13.1%
2 96
11.5%
7 70
8.4%
5 64
7.7%
6 62
7.4%
3 56
6.7%
8 45
 
5.4%
1 39
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 716
85.9%
Dash Punctuation 118
 
14.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 138
19.3%
0 109
15.2%
2 96
13.4%
7 70
9.8%
5 64
8.9%
6 62
8.7%
3 56
7.8%
8 45
 
6.3%
1 39
 
5.4%
9 37
 
5.2%
Dash Punctuation
ValueCountFrequency (%)
- 118
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 834
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 138
16.5%
- 118
14.1%
0 109
13.1%
2 96
11.5%
7 70
8.4%
5 64
7.7%
6 62
7.4%
3 56
6.7%
8 45
 
5.4%
1 39
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 834
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 138
16.5%
- 118
14.1%
0 109
13.1%
2 96
11.5%
7 70
8.4%
5 64
7.7%
6 62
7.4%
3 56
6.7%
8 45
 
5.4%
1 39
 
4.7%

소재지면적
Real number (ℝ)

MISSING  ZEROS 

Distinct10
Distinct (%)14.9%
Missing59
Missing (%)46.8%
Infinite0
Infinite (%)0.0%
Mean202.3797
Minimum0
Maximum12120
Zeros58
Zeros (%)46.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-04-06T19:41:19.060605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile112.34
Maximum12120
Range12120
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1481.6323
Coefficient of variation (CV)7.3210521
Kurtosis66.320611
Mean202.3797
Median Absolute Deviation (MAD)0
Skewness8.1260437
Sum13559.44
Variance2195234.4
MonotonicityNot monotonic
2024-04-06T19:41:19.325064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.0 58
46.0%
10.0 1
 
0.8%
752.0 1
 
0.8%
379.84 1
 
0.8%
12120.0 1
 
0.8%
24.0 1
 
0.8%
132.2 1
 
0.8%
66.0 1
 
0.8%
31.0 1
 
0.8%
44.4 1
 
0.8%
(Missing) 59
46.8%
ValueCountFrequency (%)
0.0 58
46.0%
10.0 1
 
0.8%
24.0 1
 
0.8%
31.0 1
 
0.8%
44.4 1
 
0.8%
66.0 1
 
0.8%
132.2 1
 
0.8%
379.84 1
 
0.8%
752.0 1
 
0.8%
12120.0 1
 
0.8%
ValueCountFrequency (%)
12120.0 1
 
0.8%
752.0 1
 
0.8%
379.84 1
 
0.8%
132.2 1
 
0.8%
66.0 1
 
0.8%
44.4 1
 
0.8%
31.0 1
 
0.8%
24.0 1
 
0.8%
10.0 1
 
0.8%
0.0 58
46.0%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing126
Missing (%)100.0%
Memory size1.2 KiB

지번주소
Text

MISSING 

Distinct117
Distinct (%)95.1%
Missing3
Missing (%)2.4%
Memory size1.1 KiB
2024-04-06T19:41:19.914477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length34
Mean length23.373984
Min length18

Characters and Unicode

Total characters2875
Distinct characters120
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique111 ?
Unique (%)90.2%

Sample

1st row서울특별시 광진구 구의동 221-1번지
2nd row서울특별시 광진구 중곡동 140-29번지
3rd row서울특별시 광진구 화양동 48-14 번지
4th row서울특별시 광진구 구의동 230-1번지
5th row서울특별시 광진구 자양동 616-29 번지
ValueCountFrequency (%)
서울특별시 123
22.0%
광진구 123
22.0%
자양동 35
 
6.3%
중곡동 32
 
5.7%
구의동 31
 
5.5%
화양동 11
 
2.0%
1층 10
 
1.8%
능동 6
 
1.1%
군자동 5
 
0.9%
번지 4
 
0.7%
Other values (156) 179
32.0%
2024-04-06T19:41:20.880514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
519
18.1%
구 157
 
5.5%
광 128
 
4.5%
진 127
 
4.4%
동 125
 
4.3%
시 124
 
4.3%
서 123
 
4.3%
특 123
 
4.3%
별 123
 
4.3%
울 123
 
4.3%
Other values (110) 1203
41.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1669
58.1%
Decimal Number 554
 
19.3%
Space Separator 519
 
18.1%
Dash Punctuation 120
 
4.2%
Uppercase Letter 10
 
0.3%
Math Symbol 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 157
 
9.4%
광 128
 
7.7%
진 127
 
7.6%
동 125
 
7.5%
시 124
 
7.4%
서 123
 
7.4%
특 123
 
7.4%
별 123
 
7.4%
울 123
 
7.4%
지 64
 
3.8%
Other values (85) 452
27.1%
Decimal Number
ValueCountFrequency (%)
1 110
19.9%
2 93
16.8%
6 66
11.9%
3 53
9.6%
4 53
9.6%
9 41
 
7.4%
0 39
 
7.0%
7 38
 
6.9%
5 32
 
5.8%
8 29
 
5.2%
Uppercase Letter
ValueCountFrequency (%)
D 1
10.0%
M 1
10.0%
K 1
10.0%
C 1
10.0%
T 1
10.0%
H 1
10.0%
E 1
10.0%
B 1
10.0%
L 1
10.0%
A 1
10.0%
Space Separator
ValueCountFrequency (%)
519
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 120
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1669
58.1%
Common 1196
41.6%
Latin 10
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 157
 
9.4%
광 128
 
7.7%
진 127
 
7.6%
동 125
 
7.5%
시 124
 
7.4%
서 123
 
7.4%
특 123
 
7.4%
별 123
 
7.4%
울 123
 
7.4%
지 64
 
3.8%
Other values (85) 452
27.1%
Common
ValueCountFrequency (%)
519
43.4%
- 120
 
10.0%
1 110
 
9.2%
2 93
 
7.8%
6 66
 
5.5%
3 53
 
4.4%
4 53
 
4.4%
9 41
 
3.4%
0 39
 
3.3%
7 38
 
3.2%
Other values (5) 64
 
5.4%
Latin
ValueCountFrequency (%)
D 1
10.0%
M 1
10.0%
K 1
10.0%
C 1
10.0%
T 1
10.0%
H 1
10.0%
E 1
10.0%
B 1
10.0%
L 1
10.0%
A 1
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1669
58.1%
ASCII 1206
41.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
519
43.0%
- 120
 
10.0%
1 110
 
9.1%
2 93
 
7.7%
6 66
 
5.5%
3 53
 
4.4%
4 53
 
4.4%
9 41
 
3.4%
0 39
 
3.2%
7 38
 
3.2%
Other values (15) 74
 
6.1%
Hangul
ValueCountFrequency (%)
구 157
 
9.4%
광 128
 
7.7%
진 127
 
7.6%
동 125
 
7.5%
시 124
 
7.4%
서 123
 
7.4%
특 123
 
7.4%
별 123
 
7.4%
울 123
 
7.4%
지 64
 
3.8%
Other values (85) 452
27.1%

도로명주소
Text

MISSING 

Distinct108
Distinct (%)97.3%
Missing15
Missing (%)11.9%
Memory size1.1 KiB
2024-04-06T19:41:21.460173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length40
Mean length28.774775
Min length22

Characters and Unicode

Total characters3194
Distinct characters138
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

Unique105 ?
Unique (%)94.6%

Sample

1st row서울특별시 광진구 구의로 23 (구의동)
2nd row서울특별시 광진구 영화사로 40 (중곡동)
3rd row서울특별시 광진구 영화사로 30 (중곡동)
4th row서울특별시 광진구 긴고랑로 115 (중곡동)
5th row서울특별시 광진구 군자로 73 (군자동)
ValueCountFrequency (%)
서울특별시 111
16.9%
광진구 111
16.9%
1층 38
 
5.8%
자양동 30
 
4.6%
중곡동 27
 
4.1%
구의동 26
 
4.0%
아차산로 15
 
2.3%
자양로 12
 
1.8%
능동로 12
 
1.8%
천호대로 10
 
1.5%
Other values (178) 265
40.3%
2024-04-06T19:41:22.350393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
546
 
17.1%
구 144
 
4.5%
광 130
 
4.1%
동 127
 
4.0%
1 125
 
3.9%
진 115
 
3.6%
) 112
 
3.5%
시 112
 
3.5%
( 112
 
3.5%
서 111
 
3.5%
Other values (128) 1560
48.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1886
59.0%
Space Separator 546
 
17.1%
Decimal Number 444
 
13.9%
Close Punctuation 112
 
3.5%
Open Punctuation 112
 
3.5%
Other Punctuation 72
 
2.3%
Uppercase Letter 16
 
0.5%
Dash Punctuation 4
 
0.1%
Math Symbol 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 144
 
7.6%
광 130
 
6.9%
동 127
 
6.7%
진 115
 
6.1%
시 112
 
5.9%
서 111
 
5.9%
로 111
 
5.9%
울 111
 
5.9%
별 111
 
5.9%
특 111
 
5.9%
Other values (102) 703
37.3%
Decimal Number
ValueCountFrequency (%)
1 125
28.2%
5 52
11.7%
2 48
 
10.8%
0 47
 
10.6%
3 39
 
8.8%
6 33
 
7.4%
4 33
 
7.4%
9 25
 
5.6%
7 24
 
5.4%
8 18
 
4.1%
Uppercase Letter
ValueCountFrequency (%)
C 3
18.8%
B 2
12.5%
K 2
12.5%
M 2
12.5%
D 2
12.5%
T 1
 
6.2%
H 1
 
6.2%
E 1
 
6.2%
L 1
 
6.2%
A 1
 
6.2%
Space Separator
ValueCountFrequency (%)
546
100.0%
Close Punctuation
ValueCountFrequency (%)
) 112
100.0%
Open Punctuation
ValueCountFrequency (%)
( 112
100.0%
Other Punctuation
ValueCountFrequency (%)
, 72
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1886
59.0%
Common 1292
40.5%
Latin 16
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 144
 
7.6%
광 130
 
6.9%
동 127
 
6.7%
진 115
 
6.1%
시 112
 
5.9%
서 111
 
5.9%
로 111
 
5.9%
울 111
 
5.9%
별 111
 
5.9%
특 111
 
5.9%
Other values (102) 703
37.3%
Common
ValueCountFrequency (%)
546
42.3%
1 125
 
9.7%
) 112
 
8.7%
( 112
 
8.7%
, 72
 
5.6%
5 52
 
4.0%
2 48
 
3.7%
0 47
 
3.6%
3 39
 
3.0%
6 33
 
2.6%
Other values (6) 106
 
8.2%
Latin
ValueCountFrequency (%)
C 3
18.8%
B 2
12.5%
K 2
12.5%
M 2
12.5%
D 2
12.5%
T 1
 
6.2%
H 1
 
6.2%
E 1
 
6.2%
L 1
 
6.2%
A 1
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1886
59.0%
ASCII 1308
41.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
546
41.7%
1 125
 
9.6%
) 112
 
8.6%
( 112
 
8.6%
, 72
 
5.5%
5 52
 
4.0%
2 48
 
3.7%
0 47
 
3.6%
3 39
 
3.0%
6 33
 
2.5%
Other values (16) 122
 
9.3%
Hangul
ValueCountFrequency (%)
구 144
 
7.6%
광 130
 
6.9%
동 127
 
6.7%
진 115
 
6.1%
시 112
 
5.9%
서 111
 
5.9%
로 111
 
5.9%
울 111
 
5.9%
별 111
 
5.9%
특 111
 
5.9%
Other values (102) 703
37.3%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct63
Distinct (%)56.8%
Missing15
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean5010.5946
Minimum4903
Maximum5119
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-04-06T19:41:22.716632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4903
5-th percentile4910
Q14953
median5018
Q35064.5
95-th percentile5116.5
Maximum5119
Range216
Interquartile range (IQR)111.5

Descriptive statistics

Standard deviation66.252599
Coefficient of variation (CV)0.013222502
Kurtosis-1.1593906
Mean5010.5946
Median Absolute Deviation (MAD)54
Skewness-0.090206704
Sum556176
Variance4389.4069
MonotonicityNot monotonic
2024-04-06T19:41:23.001739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4910 5
 
4.0%
4919 5
 
4.0%
4985 5
 
4.0%
5119 4
 
3.2%
5072 4
 
3.2%
4953 3
 
2.4%
4991 3
 
2.4%
4903 3
 
2.4%
4974 2
 
1.6%
5030 2
 
1.6%
Other values (53) 75
59.5%
(Missing) 15
 
11.9%
ValueCountFrequency (%)
4903 3
2.4%
4908 1
 
0.8%
4909 1
 
0.8%
4910 5
4.0%
4911 2
 
1.6%
4919 5
4.0%
4920 1
 
0.8%
4923 1
 
0.8%
4929 1
 
0.8%
4930 1
 
0.8%
ValueCountFrequency (%)
5119 4
3.2%
5117 2
1.6%
5116 2
1.6%
5112 1
 
0.8%
5103 2
1.6%
5098 2
1.6%
5096 1
 
0.8%
5090 1
 
0.8%
5084 2
1.6%
5078 1
 
0.8%

사업장명
Text

Distinct111
Distinct (%)88.1%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-04-06T19:41:23.474718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length10
Mean length5.7936508
Min length3

Characters and Unicode

Total characters730
Distinct characters152
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique98 ?
Unique (%)77.8%

Sample

1st row예일약국
2nd row세명약국
3rd row세계로약국
4th row명성약국
5th row100세 약국
ValueCountFrequency (%)
광제사약국 4
 
3.0%
약국 4
 
3.0%
100세 3
 
2.2%
우리약국 2
 
1.5%
파크온누리약국 2
 
1.5%
화양종로약국 2
 
1.5%
메디팜백악관약국 2
 
1.5%
수도약국 2
 
1.5%
프라자사랑약국 2
 
1.5%
태평양약국 2
 
1.5%
Other values (106) 110
81.5%
2024-04-06T19:41:24.494998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
약 128
 
17.5%
국 127
 
17.4%
리 23
 
3.2%
온 19
 
2.6%
누 17
 
2.3%
자 15
 
2.1%
사 12
 
1.6%
광 11
 
1.5%
양 10
 
1.4%
9
 
1.2%
Other values (142) 359
49.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 699
95.8%
Decimal Number 19
 
2.6%
Space Separator 9
 
1.2%
Close Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
약 128
 
18.3%
국 127
 
18.2%
리 23
 
3.3%
온 19
 
2.7%
누 17
 
2.4%
자 15
 
2.1%
사 12
 
1.7%
광 11
 
1.6%
양 10
 
1.4%
건 9
 
1.3%
Other values (132) 328
46.9%
Decimal Number
ValueCountFrequency (%)
0 8
42.1%
1 4
21.1%
5 2
 
10.5%
6 2
 
10.5%
3 2
 
10.5%
2 1
 
5.3%
Space Separator
ValueCountFrequency (%)
9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Other Punctuation
ValueCountFrequency (%)
? 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 699
95.8%
Common 31
 
4.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
약 128
 
18.3%
국 127
 
18.2%
리 23
 
3.3%
온 19
 
2.7%
누 17
 
2.4%
자 15
 
2.1%
사 12
 
1.7%
광 11
 
1.6%
양 10
 
1.4%
건 9
 
1.3%
Other values (132) 328
46.9%
Common
ValueCountFrequency (%)
9
29.0%
0 8
25.8%
1 4
12.9%
5 2
 
6.5%
6 2
 
6.5%
3 2
 
6.5%
) 1
 
3.2%
( 1
 
3.2%
2 1
 
3.2%
? 1
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 699
95.8%
ASCII 31
 
4.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
약 128
 
18.3%
국 127
 
18.2%
리 23
 
3.3%
온 19
 
2.7%
누 17
 
2.4%
자 15
 
2.1%
사 12
 
1.7%
광 11
 
1.6%
양 10
 
1.4%
건 9
 
1.3%
Other values (132) 328
46.9%
ASCII
ValueCountFrequency (%)
9
29.0%
0 8
25.8%
1 4
12.9%
5 2
 
6.5%
6 2
 
6.5%
3 2
 
6.5%
) 1
 
3.2%
( 1
 
3.2%
2 1
 
3.2%
? 1
 
3.2%

최종수정일자
Date

UNIQUE 

Distinct126
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Minimum2004-09-22 14:22:50
Maximum2024-04-01 14:28:54
2024-04-06T19:41:24.770189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:41:25.069088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
I
99 
U
27 

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 99
78.6%
U 27
 
21.4%

Length

2024-04-06T19:41:25.515179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:41:25.763257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 99
78.6%
u 27
 
21.4%

데이터갱신일자
Date

Distinct71
Distinct (%)56.3%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:03:00
2024-04-06T19:41:25.984023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:41:26.213763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing126
Missing (%)100.0%
Memory size1.2 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct102
Distinct (%)83.6%
Missing4
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean207144.38
Minimum205523.65
Maximum208808.84
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-04-06T19:41:26.414582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum205523.65
5-th percentile205838.23
Q1206641.09
median207163.17
Q3207748.74
95-th percentile208558.29
Maximum208808.84
Range3285.19
Interquartile range (IQR)1107.6513

Descriptive statistics

Standard deviation806.93347
Coefficient of variation (CV)0.0038955122
Kurtosis-0.69959989
Mean207144.38
Median Absolute Deviation (MAD)585.56595
Skewness-0.097473976
Sum25271615
Variance651141.63
MonotonicityNot monotonic
2024-04-06T19:41:26.651051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
208558.286631653 5
 
4.0%
207078.482246832 4
 
3.2%
206960.304957991 3
 
2.4%
207775.393626251 2
 
1.6%
207264.770077756 2
 
1.6%
206031.196548172 2
 
1.6%
207094.658245879 2
 
1.6%
207825.465863194 2
 
1.6%
206168.35701984 2
 
1.6%
207491.508995823 2
 
1.6%
Other values (92) 96
76.2%
(Missing) 4
 
3.2%
ValueCountFrequency (%)
205523.648004219 1
0.8%
205560.921209094 1
0.8%
205570.982632948 1
0.8%
205667.498538754 1
0.8%
205788.332713562 1
0.8%
205804.747421072 1
0.8%
205835.766984621 1
0.8%
205884.990016684 1
0.8%
205906.77215752 1
0.8%
205934.093803681 1
0.8%
ValueCountFrequency (%)
208808.837959863 1
 
0.8%
208604.847723243 1
 
0.8%
208558.933963663 1
 
0.8%
208558.286631653 5
4.0%
208394.416382167 1
 
0.8%
208385.614875431 1
 
0.8%
208318.216397053 1
 
0.8%
208310.372259506 1
 
0.8%
208221.531756953 1
 
0.8%
208189.434497483 1
 
0.8%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct102
Distinct (%)83.6%
Missing4
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean449342.31
Minimum447446.9
Maximum451966.81
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-04-06T19:41:26.884948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum447446.9
5-th percentile447795.39
Q1448354.36
median448999.85
Q3450449.28
95-th percentile451412.3
Maximum451966.81
Range4519.9108
Interquartile range (IQR)2094.9159

Descriptive statistics

Standard deviation1176.8775
Coefficient of variation (CV)0.0026191112
Kurtosis-0.96963145
Mean449342.31
Median Absolute Deviation (MAD)861.56983
Skewness0.45495609
Sum54819762
Variance1385040.6
MonotonicityNot monotonic
2024-04-06T19:41:27.130523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
448353.905156369 5
 
4.0%
451412.298304191 4
 
3.2%
450625.255482591 3
 
2.4%
450200.655283827 2
 
1.6%
451823.918998571 2
 
1.6%
448731.099217371 2
 
1.6%
450434.855633714 2
 
1.6%
449902.401682584 2
 
1.6%
448696.940072846 2
 
1.6%
447717.445119677 2
 
1.6%
Other values (92) 96
76.2%
(Missing) 4
 
3.2%
ValueCountFrequency (%)
447446.899023804 1
0.8%
447717.445119677 2
1.6%
447728.818227552 1
0.8%
447760.50664641 1
0.8%
447776.998765777 1
0.8%
447795.39120633 2
1.6%
447804.946957477 1
0.8%
447826.334557069 1
0.8%
447830.956483333 1
0.8%
447862.351973505 1
0.8%
ValueCountFrequency (%)
451966.809789853 1
 
0.8%
451823.918998571 2
1.6%
451482.361459885 1
 
0.8%
451435.772826853 1
 
0.8%
451412.298304191 4
3.2%
451395.72898843 1
 
0.8%
451278.32238528 1
 
0.8%
451198.275900371 1
 
0.8%
451166.351150671 1
 
0.8%
450787.360168733 1
 
0.8%

축산업무구분명
Categorical

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
동물약국
87 
<NA>
39 

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 87
69.0%
<NA> 39
31.0%

Length

2024-04-06T19:41:27.327324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:41:27.485673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동물약국 87
69.0%
na 39
31.0%

축산물가공업구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing126
Missing (%)100.0%
Memory size1.2 KiB

축산일련번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing126
Missing (%)100.0%
Memory size1.2 KiB

권리주체일련번호
Categorical

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
0
87 
<NA>
39 

Length

Max length4
Median length1
Mean length1.9285714
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 87
69.0%
<NA> 39
31.0%

Length

2024-04-06T19:41:27.671374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:41:27.859821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 87
69.0%
na 39
31.0%

총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
115 
0
 
11

Length

Max length4
Median length4
Mean length3.7380952
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> 115
91.3%
0 11
 
8.7%

Length

2024-04-06T19:41:28.082894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:41:28.287885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 115
91.3%
0 11
 
8.7%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
0304000030400000112004000120040319<NA>1영업/정상0정상<NA><NA><NA><NA>02-453-43410.0<NA>서울특별시 광진구 구의동 221-1번지서울특별시 광진구 구의로 23 (구의동)5041예일약국2015-02-05 16:37:00I2018-08-31 23:59:59.0<NA>207831.262313448650.544206동물약국<NA><NA>0<NA>
1304000030400000112004000220040325<NA>3폐업2폐업20090115<NA><NA><NA>447-29980.0<NA>서울특별시 광진구 중곡동 140-29번지<NA><NA>세명약국2009-01-16 13:52:19I2018-08-31 23:59:59.0<NA>207190.600271450474.466965동물약국<NA><NA>0<NA>
2304000030400000112004000320040326<NA>3폐업2폐업20090112<NA><NA><NA><NA>0.0<NA>서울특별시 광진구 화양동 48-14 번지<NA><NA>세계로약국2009-01-12 16:58:14I2018-08-31 23:59:59.0<NA><NA><NA>동물약국<NA><NA>0<NA>
3304000030400000112004000420040326<NA>3폐업2폐업20080529<NA><NA><NA>447-70480.0<NA>서울특별시 광진구 구의동 230-1번지<NA><NA>명성약국2008-05-29 17:48:49I2018-08-31 23:59:59.0<NA>207815.95384449152.165247동물약국<NA><NA>0<NA>
4304000030400000112004000520040419<NA>3폐업2폐업20040922<NA><NA><NA><NA>0.0<NA>서울특별시 광진구 자양동 616-29 번지<NA><NA>100세 약국2004-09-22 14:22:50I2018-08-31 23:59:59.0<NA><NA><NA>동물약국<NA><NA>0<NA>
5304000030400000112004000620040419<NA>3폐업2폐업20060612<NA><NA><NA>3437-30270.0<NA>서울특별시 광진구 구의동 631-1번지 프라임프라자114-1<NA><NA>유약국2006-06-12 17:15:26I2018-08-31 23:59:59.0<NA>208558.286632448353.905156동물약국<NA><NA>0<NA>
6304000030400000112004000720040520<NA>3폐업2폐업20191211<NA><NA><NA>447-97080.0<NA>서울특별시 광진구 중곡동 89-10번지서울특별시 광진구 영화사로 40 (중곡동)4950하나약국2019-12-11 13:13:46U2019-12-13 02:40:00.0<NA>207975.360707450454.084766동물약국<NA><NA>0<NA>
7304000030400000112004000820040520<NA>1영업/정상0정상<NA><NA><NA><NA>452-71200.0<NA>서울특별시 광진구 중곡동 89-1번지서울특별시 광진구 영화사로 30 (중곡동)4950우리들약국2012-08-21 11:43:03I2018-08-31 23:59:59.0<NA>207903.764942450516.288354동물약국<NA><NA>0<NA>
8304000030400000112004000920040521<NA>3폐업2폐업20080122<NA><NA><NA>2201-84000.0<NA>서울특별시 광진구 자양동 681번지<NA><NA>태평양약국2008-01-22 16:21:07I2018-08-31 23:59:59.0<NA>207509.816658447795.391206동물약국<NA><NA>0<NA>
9304000030400000112004001020040525<NA>1영업/정상0정상<NA><NA><NA><NA>444-015910.0<NA>서울특별시 광진구 중곡동 58-27번지서울특별시 광진구 긴고랑로 115 (중곡동)4944금성당약국2015-02-05 16:37:33I2018-08-31 23:59:59.0<NA>207700.23016450787.360169동물약국<NA><NA>0<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
11630400003040000011202300142023-09-11<NA>1영업/정상0정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 화양동 6-3 7호선 건대입구역서울특별시 광진구 능동로 지하110, 7호선 건대입구역 204호 (화양동)5030건대바른약국2023-09-11 11:13:37I2022-12-08 23:03:00.0<NA>206168.35702448696.940073<NA><NA><NA><NA><NA>
11730400003040000011202300152023-10-30<NA>3폐업2폐업2024-03-03<NA><NA><NA><NA><NA><NA>서울특별시 광진구 중곡동 649-8 DM빌딩서울특별시 광진구 능동로 315, DM빌딩 1층 (중곡동)4919프라자사랑동물약국2024-02-28 17:19:43U2023-12-03 00:01:00.0<NA>206960.304958450625.255483<NA><NA><NA><NA><NA>
11830400003040000011202300162023-12-12<NA>1영업/정상0정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 구의동 631-1 프라임프라자서울특별시 광진구 광나루로56길 63, 프라임프라자 1층 107~109호 (구의동)5119온누리강변프라자약국2023-12-12 19:41:53I2022-11-01 23:04:00.0<NA>208558.286632448353.905156<NA><NA><NA><NA><NA>
11930400003040000011202400012024-01-16<NA>1영업/정상0정상<NA><NA><NA><NA>02-457-7156<NA><NA>서울특별시 광진구 중곡동 140-29서울특별시 광진구 천호대로 575, 1층 (중곡동)4930가원약국2024-01-16 10:35:11I2023-11-30 23:08:00.0<NA>207190.600271450474.466965<NA><NA><NA><NA><NA>
12030400003040000011202400022024-02-15<NA>1영업/정상0정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 능동 222-1 동우빌딩서울특별시 광진구 천호대로 566, 1층 (능동)4985광진365플러스약국2024-02-15 16:56:46I2023-12-01 23:07:00.0<NA>207053.951572450454.947664<NA><NA><NA><NA><NA>
12130400003040000011202400032024-03-07<NA>1영업/정상0정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 중곡동 649-8 1층서울특별시 광진구 능동로 315, DM빌딩 1층 (중곡동)4919프라자사랑약국2024-03-07 10:07:06I2023-12-03 00:09:00.0<NA>206960.304958450625.255483<NA><NA><NA><NA><NA>
12230400003040000011202400042024-03-20<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0.0<NA>서울특별시 광진구 군자동 27-2서울특별시 광진구 능동로 261 (군자동)4998당근온누리약국2024-03-22 10:42:01I2023-12-02 22:04:00.0<NA>206746.70833450141.931842<NA><NA><NA><NA><NA>
12330400003040000011202400052024-03-26<NA>1영업/정상0정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 구의동 66-62서울특별시 광진구 광나루로 529 (구의동)4977수도약국2024-03-26 17:55:53I2023-12-02 22:08:00.0<NA>207748.736497449212.187153<NA><NA><NA><NA><NA>
12430400003040000011202400062024-03-28<NA>1영업/정상0정상<NA><NA><NA><NA>024470708<NA><NA>서울특별시 광진구 구의동 76-1 그랜드파크 오피스텔 105-2호서울특별시 광진구 천호대로 666, 그랜드파크 오피스텔 105-2호 (구의동)4991파크온누리약국2024-03-28 15:33:33I2023-12-02 21:00:00.0<NA>207825.465863449902.401683<NA><NA><NA><NA><NA>
12530400003040000011202400072024-03-28<NA>1영업/정상0정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 자양동 779-8 104호서울특별시 광진구 자양로 109, 104호 (자양동)5026조은우리약국2024-03-28 15:42:39I2023-12-02 21:00:00.0<NA>207272.149511448355.730766<NA><NA><NA><NA><NA>