Overview

Dataset statistics

Number of variables30
Number of observations21
Missing cells189
Missing cells (%)30.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.4 KiB
Average record size in memory263.3 B

Variable types

Categorical10
Numeric4
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
Author노원구
URLhttps://data.seoul.go.kr/dataList/OA-16551/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
소재지면적 is highly imbalanced (59.1%)Imbalance
인허가취소일자 has 21 (100.0%) missing valuesMissing
폐업일자 has 14 (66.7%) missing valuesMissing
휴업시작일자 has 21 (100.0%) missing valuesMissing
휴업종료일자 has 21 (100.0%) missing valuesMissing
재개업일자 has 21 (100.0%) missing valuesMissing
전화번호 has 7 (33.3%) missing valuesMissing
소재지우편번호 has 21 (100.0%) missing valuesMissing
업태구분명 has 21 (100.0%) missing valuesMissing
축산물가공업구분명 has 21 (100.0%) missing valuesMissing
축산일련번호 has 21 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
지번주소 has unique valuesUnique
도로명주소 has unique valuesUnique
사업장명 has unique valuesUnique
최종수정일자 has unique valuesUnique
좌표정보(X) has unique valuesUnique
좌표정보(Y) 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

Reproduction

Analysis started2024-05-11 02:33:54.477509
Analysis finished2024-05-11 02:33:55.165084
Duration0.69 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
3100000
21 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3100000
2nd row3100000
3rd row3100000
4th row3100000
5th row3100000

Common Values

ValueCountFrequency (%)
3100000 21
100.0%

Length

2024-05-11T02:33:55.326212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:33:55.640949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3100000 21
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.1 × 1017
Minimum3.1 × 1017
Maximum3.1 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-05-11T02:33:55.924991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.1 × 1017
5-th percentile3.1 × 1017
Q13.1 × 1017
median3.1 × 1017
Q33.1 × 1017
95-th percentile3.1 × 1017
Maximum3.1 × 1017
Range50000
Interquartile range (IQR)10048

Descriptive statistics

Standard deviation11112.794
Coefficient of variation (CV)3.5847723 × 10-14
Kurtosis1.0522871
Mean3.1 × 1017
Median Absolute Deviation (MAD)0
Skewness-0.47427035
Sum6.51 × 1018
Variance1.234942 × 108
MonotonicityStrictly increasing
2024-05-11T02:33:56.389794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
310000001320190001 1
 
4.8%
310000001320200001 1
 
4.8%
310000001320240001 1
 
4.8%
310000001320230002 1
 
4.8%
310000001320230001 1
 
4.8%
310000001320220011 1
 
4.8%
310000001320220010 1
 
4.8%
310000001320220009 1
 
4.8%
310000001320220008 1
 
4.8%
310000001320220007 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
310000001320190001 1
4.8%
310000001320200001 1
4.8%
310000001320200002 1
4.8%
310000001320210001 1
4.8%
310000001320210002 1
4.8%
310000001320210003 1
4.8%
310000001320210004 1
4.8%
310000001320220001 1
4.8%
310000001320220002 1
4.8%
310000001320220003 1
4.8%
ValueCountFrequency (%)
310000001320240001 1
4.8%
310000001320230002 1
4.8%
310000001320230001 1
4.8%
310000001320220011 1
4.8%
310000001320220010 1
4.8%
310000001320220009 1
4.8%
310000001320220008 1
4.8%
310000001320220007 1
4.8%
310000001320220006 1
4.8%
310000001320220005 1
4.8%

인허가일자
Date

Distinct15
Distinct (%)71.4%
Missing0
Missing (%)0.0%
Memory size300.0 B
Minimum2019-10-25 00:00:00
Maximum2024-04-02 00:00:00
2024-05-11T02:33:56.767794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:33:57.156759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

영업상태코드
Categorical

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
1
14 
3
7 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 14
66.7%
3 7
33.3%

Length

2024-05-11T02:33:57.583231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:33:58.023524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 14
66.7%
3 7
33.3%

영업상태명
Categorical

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
영업/정상
14 
폐업
7 

Length

Max length5
Median length5
Mean length4
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 14
66.7%
폐업 7
33.3%

Length

2024-05-11T02:33:58.567702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:33:59.084461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 14
66.7%
폐업 7
33.3%

상세영업상태코드
Categorical

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
0
14 
2
7 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 14
66.7%
2 7
33.3%

Length

2024-05-11T02:33:59.687663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:34:00.112659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 14
66.7%
2 7
33.3%

상세영업상태명
Categorical

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
정상
14 
폐업
7 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
정상 14
66.7%
폐업 7
33.3%

Length

2024-05-11T02:34:00.478268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:34:00.793700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 14
66.7%
폐업 7
33.3%

폐업일자
Date

MISSING 

Distinct6
Distinct (%)85.7%
Missing14
Missing (%)66.7%
Memory size300.0 B
Minimum2022-01-05 00:00:00
Maximum2023-12-05 00:00:00
2024-05-11T02:34:01.203753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:34:01.602413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

전화번호
Text

MISSING 

Distinct14
Distinct (%)100.0%
Missing7
Missing (%)33.3%
Memory size300.0 B
2024-05-11T02:34:02.260345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length11.285714
Min length10

Characters and Unicode

Total characters158
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

Unique14 ?
Unique (%)100.0%

Sample

1st row02-1668-1250
2nd row02-935-3838
3rd row02-952-8214
4th row070-4118-0711
5th row02-778-8053
ValueCountFrequency (%)
02-1668-1250 1
 
7.1%
02-935-3838 1
 
7.1%
02-952-8214 1
 
7.1%
070-4118-0711 1
 
7.1%
02-778-8053 1
 
7.1%
02-952-3051 1
 
7.1%
02-939-5338 1
 
7.1%
02-6956-5898 1
 
7.1%
02-951-5930 1
 
7.1%
02-951-1641 1
 
7.1%
Other values (4) 4
28.6%
2024-05-11T02:34:03.228487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 26
16.5%
0 25
15.8%
2 23
14.6%
8 14
8.9%
9 14
8.9%
1 13
8.2%
5 13
8.2%
3 10
 
6.3%
6 9
 
5.7%
7 7
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 132
83.5%
Dash Punctuation 26
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 25
18.9%
2 23
17.4%
8 14
10.6%
9 14
10.6%
1 13
9.8%
5 13
9.8%
3 10
 
7.6%
6 9
 
6.8%
7 7
 
5.3%
4 4
 
3.0%
Dash Punctuation
ValueCountFrequency (%)
- 26
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 158
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 26
16.5%
0 25
15.8%
2 23
14.6%
8 14
8.9%
9 14
8.9%
1 13
8.2%
5 13
8.2%
3 10
 
6.3%
6 9
 
5.7%
7 7
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 158
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 26
16.5%
0 25
15.8%
2 23
14.6%
8 14
8.9%
9 14
8.9%
1 13
8.2%
5 13
8.2%
3 10
 
6.3%
6 9
 
5.7%
7 7
 
4.4%

소재지면적
Categorical

IMBALANCE 

Distinct4
Distinct (%)19.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
<NA>
18 
14.27
 
1
77.0
 
1
34.95
 
1

Length

Max length5
Median length4
Mean length4.0952381
Min length4

Unique

Unique3 ?
Unique (%)14.3%

Sample

1st row14.27
2nd row77.0
3rd row<NA>
4th row<NA>
5th row34.95

Common Values

ValueCountFrequency (%)
<NA> 18
85.7%
14.27 1
 
4.8%
77.0 1
 
4.8%
34.95 1
 
4.8%

Length

2024-05-11T02:34:03.854636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:34:04.323497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 18
85.7%
14.27 1
 
4.8%
77.0 1
 
4.8%
34.95 1
 
4.8%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

지번주소
Text

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
2024-05-11T02:34:04.730030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length33
Mean length27.190476
Min length18

Characters and Unicode

Total characters571
Distinct characters84
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)100.0%

Sample

1st row서울특별시 노원구 공릉동 *** 서울창업디딤터 ***호
2nd row서울특별시 노원구 상계동 ***-*번지 부흥빌딩
3rd row서울특별시 노원구 하계동 ***-* 하계테크노타운 B동 ***호
4th row서울특별시 노원구 상계동 *** 상계주공*단지아파트 상가동 ***호
5th row서울특별시 노원구 상계동 **** 하이베라스 ***호
ValueCountFrequency (%)
서울특별시 21
18.4%
21
18.4%
노원구 19
16.7%
상계동 10
 
8.8%
호 6
 
5.3%
중계동 4
 
3.5%
공릉동 3
 
2.6%
상가동 2
 
1.8%
하계동 2
 
1.8%
대덕프라자 1
 
0.9%
Other values (25) 25
21.9%
2024-05-11T02:34:05.956836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 103
18.0%
96
16.8%
동 26
 
4.6%
서 23
 
4.0%
울 22
 
3.9%
특 21
 
3.7%
계 21
 
3.7%
별 21
 
3.7%
시 21
 
3.7%
구 21
 
3.7%
Other values (74) 196
34.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 354
62.0%
Other Punctuation 105
 
18.4%
Space Separator 96
 
16.8%
Dash Punctuation 15
 
2.6%
Uppercase Letter 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 26
 
7.3%
서 23
 
6.5%
울 22
 
6.2%
특 21
 
5.9%
계 21
 
5.9%
별 21
 
5.9%
시 21
 
5.9%
구 21
 
5.9%
노 20
 
5.6%
원 19
 
5.4%
Other values (69) 139
39.3%
Other Punctuation
ValueCountFrequency (%)
* 103
98.1%
, 2
 
1.9%
Space Separator
ValueCountFrequency (%)
96
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 354
62.0%
Common 216
37.8%
Latin 1
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 26
 
7.3%
서 23
 
6.5%
울 22
 
6.2%
특 21
 
5.9%
계 21
 
5.9%
별 21
 
5.9%
시 21
 
5.9%
구 21
 
5.9%
노 20
 
5.6%
원 19
 
5.4%
Other values (69) 139
39.3%
Common
ValueCountFrequency (%)
* 103
47.7%
96
44.4%
- 15
 
6.9%
, 2
 
0.9%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 354
62.0%
ASCII 217
38.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 103
47.5%
96
44.2%
- 15
 
6.9%
, 2
 
0.9%
B 1
 
0.5%
Hangul
ValueCountFrequency (%)
동 26
 
7.3%
서 23
 
6.5%
울 22
 
6.2%
특 21
 
5.9%
계 21
 
5.9%
별 21
 
5.9%
시 21
 
5.9%
구 21
 
5.9%
노 20
 
5.6%
원 19
 
5.4%
Other values (69) 139
39.3%

도로명주소
Text

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
2024-05-11T02:34:06.657027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length40
Mean length36.809524
Min length30

Characters and Unicode

Total characters773
Distinct characters90
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

Unique21 ?
Unique (%)100.0%

Sample

1st row서울특별시 노원구 동일로***길 **, 서울창업디딤터 ***호 (공릉동)
2nd row서울특별시 노원구 동일로 ****, 부흥빌딩 *층 우측호 (상계동)
3rd row서울특별시 노원구 노원로**길 **, 하계테크노타운 B동 ***호 (하계동)
4th row서울특별시 노원구 동일로 ****, 상가동 ***호 (상계동, 상계주공*단지아파트)
5th row서울특별시 노원구 동일로 ****, ***호 (상계동, 하이베라스)
ValueCountFrequency (%)
서울특별시 21
14.3%
노원구 21
14.3%
20
13.6%
호 11
 
7.5%
상계동 10
 
6.8%
중계동 5
 
3.4%
동일로 5
 
3.4%
상가동 4
 
2.7%
공릉동 3
 
2.0%
층 3
 
2.0%
Other values (39) 44
29.9%
2024-05-11T02:34:07.984567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
126
 
16.3%
* 125
 
16.2%
동 37
 
4.8%
, 29
 
3.8%
계 26
 
3.4%
노 25
 
3.2%
원 23
 
3.0%
서 22
 
2.8%
울 22
 
2.8%
로 22
 
2.8%
Other values (80) 316
40.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 445
57.6%
Other Punctuation 154
 
19.9%
Space Separator 126
 
16.3%
Close Punctuation 21
 
2.7%
Open Punctuation 21
 
2.7%
Uppercase Letter 4
 
0.5%
Math Symbol 1
 
0.1%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 37
 
8.3%
계 26
 
5.8%
노 25
 
5.6%
원 23
 
5.2%
서 22
 
4.9%
울 22
 
4.9%
로 22
 
4.9%
특 21
 
4.7%
별 21
 
4.7%
시 21
 
4.7%
Other values (72) 205
46.1%
Other Punctuation
ValueCountFrequency (%)
* 125
81.2%
, 29
 
18.8%
Space Separator
ValueCountFrequency (%)
126
100.0%
Close Punctuation
ValueCountFrequency (%)
) 21
100.0%
Open Punctuation
ValueCountFrequency (%)
( 21
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 4
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 445
57.6%
Common 324
41.9%
Latin 4
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 37
 
8.3%
계 26
 
5.8%
노 25
 
5.6%
원 23
 
5.2%
서 22
 
4.9%
울 22
 
4.9%
로 22
 
4.9%
특 21
 
4.7%
별 21
 
4.7%
시 21
 
4.7%
Other values (72) 205
46.1%
Common
ValueCountFrequency (%)
126
38.9%
* 125
38.6%
, 29
 
9.0%
) 21
 
6.5%
( 21
 
6.5%
~ 1
 
0.3%
- 1
 
0.3%
Latin
ValueCountFrequency (%)
B 4
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 445
57.6%
ASCII 328
42.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
126
38.4%
* 125
38.1%
, 29
 
8.8%
) 21
 
6.4%
( 21
 
6.4%
B 4
 
1.2%
~ 1
 
0.3%
- 1
 
0.3%
Hangul
ValueCountFrequency (%)
동 37
 
8.3%
계 26
 
5.8%
노 25
 
5.6%
원 23
 
5.2%
서 22
 
4.9%
울 22
 
4.9%
로 22
 
4.9%
특 21
 
4.7%
별 21
 
4.7%
시 21
 
4.7%
Other values (72) 205
46.1%

도로명우편번호
Real number (ℝ)

Distinct19
Distinct (%)90.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1733.8095
Minimum1604
Maximum1906
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-05-11T02:34:08.465987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1604
5-th percentile1626
Q11663
median1715
Q31788
95-th percentile1863
Maximum1906
Range302
Interquartile range (IQR)125

Descriptive statistics

Standard deviation87.40802
Coefficient of variation (CV)0.050413854
Kurtosis-0.92286013
Mean1733.8095
Median Absolute Deviation (MAD)71
Skewness0.31309099
Sum36410
Variance7640.1619
MonotonicityNot monotonic
2024-05-11T02:34:08.940817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
1631 2
 
9.5%
1715 2
 
9.5%
1849 1
 
4.8%
1824 1
 
4.8%
1693 1
 
4.8%
1906 1
 
4.8%
1783 1
 
4.8%
1827 1
 
4.8%
1726 1
 
4.8%
1644 1
 
4.8%
Other values (9) 9
42.9%
ValueCountFrequency (%)
1604 1
4.8%
1626 1
4.8%
1631 2
9.5%
1644 1
4.8%
1663 1
4.8%
1690 1
4.8%
1693 1
4.8%
1695 1
4.8%
1715 2
9.5%
1726 1
4.8%
ValueCountFrequency (%)
1906 1
4.8%
1863 1
4.8%
1849 1
4.8%
1827 1
4.8%
1824 1
4.8%
1788 1
4.8%
1783 1
4.8%
1774 1
4.8%
1763 1
4.8%
1726 1
4.8%

사업장명
Text

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
2024-05-11T02:34:09.539055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length15
Mean length10.428571
Min length3

Characters and Unicode

Total characters219
Distinct characters85
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)100.0%

Sample

1st row주식회사 날라주
2nd row폴리파크 상계점
3rd row(주)정도비앤피
4th row타입비
5th row이안덴메드
ValueCountFrequency (%)
주)이마트에브리데이 5
 
13.2%
견생냥품 3
 
7.9%
상계점 2
 
5.3%
서울 2
 
5.3%
무인24시 2
 
5.3%
상계역점 2
 
5.3%
당고개역점 1
 
2.6%
노원역점 1
 
2.6%
월계점 1
 
2.6%
이마트 1
 
2.6%
Other values (18) 18
47.4%
2024-05-11T02:34:10.522578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
17
 
7.8%
점 13
 
5.9%
이 13
 
5.9%
주 9
 
4.1%
리 9
 
4.1%
계 9
 
4.1%
에 7
 
3.2%
) 7
 
3.2%
( 7
 
3.2%
브 6
 
2.7%
Other values (75) 122
55.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 180
82.2%
Space Separator 17
 
7.8%
Close Punctuation 7
 
3.2%
Open Punctuation 7
 
3.2%
Decimal Number 6
 
2.7%
Uppercase Letter 1
 
0.5%
Lowercase Letter 1
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 13
 
7.2%
이 13
 
7.2%
주 9
 
5.0%
리 9
 
5.0%
계 9
 
5.0%
에 7
 
3.9%
브 6
 
3.3%
트 6
 
3.3%
마 6
 
3.3%
역 5
 
2.8%
Other values (67) 97
53.9%
Decimal Number
ValueCountFrequency (%)
2 3
50.0%
4 2
33.3%
5 1
 
16.7%
Space Separator
ValueCountFrequency (%)
17
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Uppercase Letter
ValueCountFrequency (%)
G 1
100.0%
Lowercase Letter
ValueCountFrequency (%)
s 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 180
82.2%
Common 37
 
16.9%
Latin 2
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 13
 
7.2%
이 13
 
7.2%
주 9
 
5.0%
리 9
 
5.0%
계 9
 
5.0%
에 7
 
3.9%
브 6
 
3.3%
트 6
 
3.3%
마 6
 
3.3%
역 5
 
2.8%
Other values (67) 97
53.9%
Common
ValueCountFrequency (%)
17
45.9%
) 7
18.9%
( 7
18.9%
2 3
 
8.1%
4 2
 
5.4%
5 1
 
2.7%
Latin
ValueCountFrequency (%)
G 1
50.0%
s 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 180
82.2%
ASCII 39
 
17.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
17
43.6%
) 7
17.9%
( 7
17.9%
2 3
 
7.7%
4 2
 
5.1%
G 1
 
2.6%
s 1
 
2.6%
5 1
 
2.6%
Hangul
ValueCountFrequency (%)
점 13
 
7.2%
이 13
 
7.2%
주 9
 
5.0%
리 9
 
5.0%
계 9
 
5.0%
에 7
 
3.9%
브 6
 
3.3%
트 6
 
3.3%
마 6
 
3.3%
역 5
 
2.8%
Other values (67) 97
53.9%

최종수정일자
Date

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
Minimum2020-03-11 09:38:02
Maximum2024-04-12 10:29:36
2024-05-11T02:34:10.868615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:34:11.379987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)

데이터갱신구분
Categorical

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
I
12 
U
9 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 12
57.1%
U 9
42.9%

Length

2024-05-11T02:34:11.887538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:34:12.304975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 12
57.1%
u 9
42.9%

데이터갱신일자
Date

Distinct18
Distinct (%)85.7%
Missing0
Missing (%)0.0%
Memory size300.0 B
Minimum2020-03-13 00:23:38
Maximum2023-12-04 00:04:00
2024-05-11T02:34:12.589387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:34:12.995306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

좌표정보(X)
Real number (ℝ)

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean205951.14
Minimum204772.37
Maximum207311.18
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-05-11T02:34:13.494140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum204772.37
5-th percentile204894.01
Q1205324.32
median205920.87
Q3206646.05
95-th percentile207224.08
Maximum207311.18
Range2538.8084
Interquartile range (IQR)1321.733

Descriptive statistics

Standard deviation839.14359
Coefficient of variation (CV)0.004074479
Kurtosis-1.3909007
Mean205951.14
Median Absolute Deviation (MAD)695.42893
Skewness0.21491834
Sum4324973.9
Variance704161.97
MonotonicityNot monotonic
2024-05-11T02:34:14.088820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
206708.878294585 1
 
4.8%
204909.464271165 1
 
4.8%
206939.473346881 1
 
4.8%
205420.745734828 1
 
4.8%
206646.049325453 1
 
4.8%
205391.070378059 1
 
4.8%
206616.300077726 1
 
4.8%
205985.953324881 1
 
4.8%
207311.175792021 1
 
4.8%
207224.076240442 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
204772.367380466 1
4.8%
204894.014602534 1
4.8%
204909.464271165 1
4.8%
204982.667824475 1
4.8%
205264.637477558 1
4.8%
205324.316308279 1
4.8%
205391.070378059 1
4.8%
205420.745734828 1
4.8%
205445.843883297 1
4.8%
205457.262344455 1
4.8%
ValueCountFrequency (%)
207311.175792021 1
4.8%
207224.076240442 1
4.8%
207111.945468592 1
4.8%
206939.473346881 1
4.8%
206708.878294585 1
4.8%
206646.049325453 1
4.8%
206616.300077726 1
4.8%
206427.388543145 1
4.8%
206219.437371151 1
4.8%
205985.953324881 1
4.8%

좌표정보(Y)
Real number (ℝ)

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean460919.12
Minimum457477.15
Maximum464080.59
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-05-11T02:34:14.672573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum457477.15
5-th percentile457610.71
Q1459604.31
median461407.05
Q3462119.43
95-th percentile463884.9
Maximum464080.59
Range6603.439
Interquartile range (IQR)2515.1201

Descriptive statistics

Standard deviation2082.0093
Coefficient of variation (CV)0.0045170817
Kurtosis-1.0454933
Mean460919.12
Median Absolute Deviation (MAD)1682.7356
Skewness-0.23988276
Sum9679301.5
Variance4334762.7
MonotonicityNot monotonic
2024-05-11T02:34:15.174739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
457477.154924921 1
 
4.8%
463186.271687248 1
 
4.8%
457764.735082777 1
 
4.8%
461559.290918189 1
 
4.8%
462119.431666973 1
 
4.8%
458333.989216339 1
 
4.8%
461867.94710054 1
 
4.8%
459730.43776924 1
 
4.8%
457610.711998051 1
 
4.8%
460471.546550414 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
457477.154924921 1
4.8%
457610.711998051 1
4.8%
457764.735082777 1
4.8%
458333.989216339 1
4.8%
459040.420031177 1
4.8%
459604.311547098 1
4.8%
459730.43776924 1
4.8%
459926.107544031 1
4.8%
460471.546550414 1
4.8%
460953.875994974 1
4.8%
ValueCountFrequency (%)
464080.593904719 1
4.8%
463884.895275557 1
4.8%
463288.357039657 1
4.8%
463186.271687248 1
4.8%
463089.784688928 1
4.8%
462119.431666973 1
4.8%
462077.014141535 1
4.8%
461867.94710054 1
4.8%
461827.579520796 1
4.8%
461559.290918189 1
4.8%

축산업무구분명
Categorical

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
<NA>
12 
동물용의료용구판매업
9 

Length

Max length10
Median length4
Mean length6.5714286
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 12
57.1%
동물용의료용구판매업 9
42.9%

Length

2024-05-11T02:34:15.651899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:34:16.030248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 12
57.1%
동물용의료용구판매업 9
42.9%

축산물가공업구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

축산일련번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

권리주체일련번호
Categorical

Distinct3
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Memory size300.0 B
<NA>
12 
000
7 
L00
2 

Length

Max length4
Median length4
Mean length3.5714286
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowL00
2nd row000
3rd row000
4th row000
5th row000

Common Values

ValueCountFrequency (%)
<NA> 12
57.1%
000 7
33.3%
L00 2
 
9.5%

Length

2024-05-11T02:34:16.444485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:34:16.839133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 12
57.1%
000 7
33.3%
l00 2
 
9.5%

총인원
Categorical

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
<NA>
14 
0
7 

Length

Max length4
Median length4
Mean length3
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row<NA>
3rd row<NA>
4th row0
5th row0

Common Values

ValueCountFrequency (%)
<NA> 14
66.7%
0 7
33.3%

Length

2024-05-11T02:34:17.289902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:34:17.676322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 14
66.7%
0 7
33.3%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
0310000031000000132019000120191025<NA>3폐업2폐업20220105<NA><NA><NA>02-1668-125014.27<NA>서울특별시 노원구 공릉동 *** 서울창업디딤터 ***호서울특별시 노원구 동일로***길 **, 서울창업디딤터 ***호 (공릉동)1849주식회사 날라주2022-01-05 16:52:22U2022-01-07 02:40:00.0<NA>206708.878295457477.154925동물용의료용구판매업<NA><NA>L000
1310000031000000132020000120200311<NA>1영업/정상0정상<NA><NA><NA><NA>02-935-383877.0<NA>서울특별시 노원구 상계동 ***-*번지 부흥빌딩서울특별시 노원구 동일로 ****, 부흥빌딩 *층 우측호 (상계동)1631폴리파크 상계점2020-03-11 09:38:02I2020-03-13 00:23:38.0<NA>204909.464271463186.271687동물용의료용구판매업<NA><NA>000<NA>
2310000031000000132020000220200810<NA>1영업/정상0정상<NA><NA><NA><NA>02-952-8214<NA><NA>서울특별시 노원구 하계동 ***-* 하계테크노타운 B동 ***호서울특별시 노원구 노원로**길 **, 하계테크노타운 B동 ***호 (하계동)1788(주)정도비앤피2020-08-10 14:18:09I2020-08-12 00:23:31.0<NA>206219.437371459926.107544동물용의료용구판매업<NA><NA>000<NA>
3310000031000000132021000120210729<NA>1영업/정상0정상<NA><NA><NA><NA>070-4118-0711<NA><NA>서울특별시 노원구 상계동 *** 상계주공*단지아파트 상가동 ***호서울특별시 노원구 동일로 ****, 상가동 ***호 (상계동, 상계주공*단지아파트)1690타입비2021-07-29 17:07:25I2021-07-31 00:22:51.0<NA>205264.637478461827.579521동물용의료용구판매업<NA><NA>0000
4310000031000000132021000220210907<NA>1영업/정상0정상<NA><NA><NA><NA>02-778-805334.95<NA>서울특별시 노원구 상계동 **** 하이베라스 ***호서울특별시 노원구 동일로 ****, ***호 (상계동, 하이베라스)1604이안덴메드2021-09-07 10:31:45I2021-09-09 00:22:49.0<NA>204772.36738464080.593905동물용의료용구판매업<NA><NA>0000
5310000031000000132021000320210907<NA>1영업/정상0정상<NA><NA><NA><NA>02-952-3051<NA><NA>서울특별시 노원구 상계동 ***-*** 상계역 ***- ***호서울특별시 노원구 상계로 ***, 상계역 ***-***호 (상계동)1663펫클럽 상계역사점2021-09-07 14:19:32I2021-09-09 00:22:49.0<NA>206427.388543462077.014142동물용의료용구판매업<NA><NA>L000
6310000031000000132021000420211022<NA>1영업/정상0정상<NA><NA><NA><NA>02-939-5338<NA><NA>서울특별시 노원구 상계동 **** 극동아파트 상가동 ***호서울특별시 노원구 동일로***길 **, 상가동 ***호 (상계동, 극동아파트)1626세븐에잇2021-10-22 11:14:16I2021-10-24 00:22:46.0<NA>204982.667824463884.895276동물용의료용구판매업<NA><NA>0000
7310000031000000132022000120220110<NA>1영업/정상0정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 노원구 상계동 ***-* 중앙빌딩서울특별시 노원구 노해로 ***, 중앙빌딩 *층 (상계동)1695크리에이티브리더스그룹2022-01-10 09:06:07I2022-01-12 00:22:40.0<NA>205457.262344461407.049044동물용의료용구판매업<NA><NA>0000
8310000031000000132022000220220210<NA>1영업/정상0정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 노원구 하계동 *** 장미아파트서울특별시 노원구 섬밭로 ***, 상가동 (하계동, 장미아파트)1863Gs25하계장미점2022-02-10 16:57:31I2022-02-12 00:22:38.0<NA>205920.871148459040.420031동물용의료용구판매업<NA><NA>0000
9310000031000000132022000320220228<NA>3폐업2폐업20220624<NA><NA><NA><NA><NA><NA>서울특별시 노원구 중계동 *** 경남,롯데,상아아파트서울특별시 노원구 섬밭로 ***, *동 ****호 (중계동, 경남,롯데,상아아파트)1774베리컴퍼니2022-06-24 16:10:25U2021-12-05 22:06:00.0<NA>205445.843883459604.311547<NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
1131000003100000013202200052022-05-19<NA>3폐업2폐업2023-11-27<NA><NA><NA>02-6956-5898<NA><NA>서울특별시 노원구 상계동 **-*서울특별시 노원구 덕릉로***길 *, B***~B***호 (상계동)1644(주)이마트에브리데이 당고개역점2023-11-27 16:35:42U2022-10-31 22:09:00.0<NA>207111.945469463089.784689<NA><NA><NA><NA><NA>
1231000003100000013202200062022-05-19<NA>3폐업2폐업2023-11-27<NA><NA><NA>02-951-5930<NA><NA>서울특별시 노원구 상계동 ****-* 진로마트서울특별시 노원구 동일로 ****, 진로마트 (상계동)1631(주)이마트에브리데이 상계점2023-11-27 16:29:30U2022-10-31 22:09:00.0<NA>204894.014603463288.35704<NA><NA><NA><NA><NA>
1331000003100000013202200072022-05-19<NA>3폐업2폐업2023-11-29<NA><NA><NA>02-951-1641<NA><NA>서울특별시 노원구 중계동 **-** 이연아마빌레서울특별시 노원구 중계로**길 **(중계동, 이연아마빌레)1726(주)이마트에브리데이 중계동점2023-11-29 13:23:17U2022-11-02 00:02:00.0<NA>207224.07624460471.54655<NA><NA><NA><NA><NA>
1431000003100000013202200082022-05-19<NA>3폐업2폐업2023-12-05<NA><NA><NA>02-948-6767<NA><NA>서울특별시 노원구 공릉동 **-* 대덕프라자서울특별시 노원구 노원로*길 **, 대덕프라자 B*층 (공릉동)1827(주)이마트에브리데이 공릉동점2023-12-05 17:40:11U2022-11-02 00:07:00.0<NA>207311.175792457610.711998<NA><NA><NA><NA><NA>
1531000003100000013202200092022-05-19<NA>1영업/정상0정상<NA><NA><NA><NA>02-986-2080<NA><NA>서울특별시 강서구 등촌동 ***-* 홈플러스서울특별시 노원구 동일로***가길 **, 홈플러스 (중계동)1783홈플러스(주) 중계점2024-02-26 10:44:09U2023-12-01 22:09:00.0<NA>205985.953325459730.437769<NA><NA><NA><NA><NA>
1631000003100000013202200102022-05-20<NA>3폐업2폐업2023-11-24<NA><NA><NA>02-2039-2687<NA><NA>서울특별시 노원구 중계동 ***-* 기업은행서울특별시 노원구 덕릉로 ***, 기업은행 *층 (중계동)1715(주)이마트에브리데이 상계역점2023-11-24 16:09:28U2022-10-31 22:06:00.0<NA>206616.300078461867.947101<NA><NA><NA><NA><NA>
1731000003100000013202200112022-09-29<NA>1영업/정상0정상<NA><NA><NA><NA>0220921052<NA><NA>서울특별시 중구 순화동 ***-* 월계이마트서울특별시 노원구 마들로*길 **, 월계이마트 (월계동)1906이마트 월계점2024-04-12 10:29:36U2023-12-03 23:04:00.0<NA>205391.070378458333.989216<NA><NA><NA><NA><NA>
1831000003100000013202300012023-08-23<NA>1영업/정상0정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 노원구 중계동 *** 중계동건영아파트서울특별시 노원구 덕릉로 ***, 상가동 ***호 (중계동, 중계동건영아파트)1715견생냥품 무인24시 서울 상계역점2023-08-23 22:24:53I2022-12-07 22:05:00.0<NA>206646.049325462119.431667<NA><NA><NA><NA><NA>
1931000003100000013202300022023-08-23<NA>1영업/정상0정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 노원구 상계동 ***-* 현성빌딩서울특별시 노원구 상계로 **, 현성빌딩 ***호 (상계동)1693견생냥품 서울 노원역점2023-08-23 22:54:08I2022-12-07 22:05:00.0<NA>205420.745735461559.290918<NA><NA><NA><NA><NA>
2031000003100000013202400012024-04-02<NA>1영업/정상0정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 노원구 공릉동 ***-** 준효약국서울특별시 노원구 공릉로 ***, 준효약국 ***호 (공릉동)1824견생냥품 무인24시 공릉중앙점2024-04-02 18:04:14I2023-12-04 00:04:00.0<NA>206939.473347457764.735083<NA><NA><NA><NA><NA>