Overview

Dataset statistics

Number of variables30
Number of observations26
Missing cells172
Missing cells (%)22.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.6 KiB
Average record size in memory260.1 B

Variable types

Categorical13
Numeric4
DateTime4
Unsupported5
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
Author동대문구
URLhttps://data.seoul.go.kr/dataList/OA-16646/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
소재지면적 has constant value ""Constant
업태구분명 is highly imbalanced (60.8%)Imbalance
인허가취소일자 has 26 (100.0%) missing valuesMissing
폐업일자 has 16 (61.5%) missing valuesMissing
휴업시작일자 has 26 (100.0%) missing valuesMissing
휴업종료일자 has 26 (100.0%) missing valuesMissing
재개업일자 has 26 (100.0%) missing valuesMissing
전화번호 has 23 (88.5%) missing valuesMissing
소재지우편번호 has 26 (100.0%) missing valuesMissing
지번주소 has 1 (3.8%) missing valuesMissing
좌표정보(X) has 1 (3.8%) missing valuesMissing
좌표정보(Y) has 1 (3.8%) missing valuesMissing
관리번호 has unique valuesUnique
인허가일자 has unique valuesUnique
사업장명 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

Reproduction

Analysis started2024-05-11 07:34:39.562744
Analysis finished2024-05-11 07:34:40.656799
Duration1.09 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size340.0 B
3050000
26 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3050000
2nd row3050000
3rd row3050000
4th row3050000
5th row3050000

Common Values

ValueCountFrequency (%)
3050000 26
100.0%

Length

2024-05-11T07:34:40.871698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:34:41.237907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3050000 26
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.05 × 1017
Minimum3.05 × 1017
Maximum3.05 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2024-05-11T07:34:41.678495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.05 × 1017
5-th percentile3.05 × 1017
Q13.05 × 1017
median3.05 × 1017
Q33.05 × 1017
95-th percentile3.05 × 1017
Maximum3.05 × 1017
Range120001
Interquartile range (IQR)37504

Descriptive statistics

Standard deviation36123.881
Coefficient of variation (CV)1.1843895 × 10-13
Kurtosis-0.32093125
Mean3.05 × 1017
Median Absolute Deviation (MAD)10048
Skewness-0.94017156
Sum7.9300001 × 1018
Variance1.3049348 × 109
MonotonicityStrictly increasing
2024-05-11T07:34:42.138427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
305000003420120001 1
 
3.8%
305000003420210003 1
 
3.8%
305000003420240002 1
 
3.8%
305000003420240001 1
 
3.8%
305000003420230001 1
 
3.8%
305000003420220005 1
 
3.8%
305000003420220004 1
 
3.8%
305000003420220003 1
 
3.8%
305000003420220002 1
 
3.8%
305000003420220001 1
 
3.8%
Other values (16) 16
61.5%
ValueCountFrequency (%)
305000003420120001 1
3.8%
305000003420130001 1
3.8%
305000003420130002 1
3.8%
305000003420130003 1
3.8%
305000003420140001 1
3.8%
305000003420160001 1
3.8%
305000003420180001 1
3.8%
305000003420190001 1
3.8%
305000003420190002 1
3.8%
305000003420200001 1
3.8%
ValueCountFrequency (%)
305000003420240002 1
3.8%
305000003420240001 1
3.8%
305000003420230001 1
3.8%
305000003420220005 1
3.8%
305000003420220004 1
3.8%
305000003420220003 1
3.8%
305000003420220002 1
3.8%
305000003420220001 1
3.8%
305000003420210006 1
3.8%
305000003420210005 1
3.8%

인허가일자
Date

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
Minimum2012-01-26 00:00:00
Maximum2024-04-18 00:00:00
2024-05-11T07:34:42.604125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:34:43.158758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

영업상태코드
Categorical

Distinct2
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size340.0 B
1
15 
3
11 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 15
57.7%
3 11
42.3%

Length

2024-05-11T07:34:43.698658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:34:44.086552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 15
57.7%
3 11
42.3%

영업상태명
Categorical

Distinct2
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size340.0 B
영업/정상
15 
폐업
11 

Length

Max length5
Median length5
Mean length3.7307692
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 15
57.7%
폐업 11
42.3%

Length

2024-05-11T07:34:44.527763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:34:44.860606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 15
57.7%
폐업 11
42.3%

상세영업상태코드
Categorical

Distinct2
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size340.0 B
0
15 
2
11 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 15
57.7%
2 11
42.3%

Length

2024-05-11T07:34:45.294443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:34:45.849758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 15
57.7%
2 11
42.3%

상세영업상태명
Categorical

Distinct2
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size340.0 B
정상
15 
폐업
11 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
정상 15
57.7%
폐업 11
42.3%

Length

2024-05-11T07:34:46.158415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:34:46.441856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 15
57.7%
폐업 11
42.3%

폐업일자
Date

MISSING 

Distinct9
Distinct (%)90.0%
Missing16
Missing (%)61.5%
Memory size340.0 B
Minimum2016-05-27 00:00:00
Maximum2023-09-11 00:00:00
2024-05-11T07:34:46.735722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:34:47.103626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

전화번호
Text

MISSING 

Distinct3
Distinct (%)100.0%
Missing23
Missing (%)88.5%
Memory size340.0 B
2024-05-11T07:34:47.642914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length11
Min length11

Characters and Unicode

Total characters33
Distinct characters10
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

Unique3 ?
Unique (%)100.0%

Sample

1st row02-957-9117
2nd row02-485-5027
3rd row02-966-5902
ValueCountFrequency (%)
02-957-9117 1
33.3%
02-485-5027 1
33.3%
02-966-5902 1
33.3%
2024-05-11T07:34:48.655708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 6
18.2%
0 5
15.2%
2 5
15.2%
9 4
12.1%
5 4
12.1%
7 3
9.1%
1 2
 
6.1%
6 2
 
6.1%
4 1
 
3.0%
8 1
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 27
81.8%
Dash Punctuation 6
 
18.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5
18.5%
2 5
18.5%
9 4
14.8%
5 4
14.8%
7 3
11.1%
1 2
 
7.4%
6 2
 
7.4%
4 1
 
3.7%
8 1
 
3.7%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 6
18.2%
0 5
15.2%
2 5
15.2%
9 4
12.1%
5 4
12.1%
7 3
9.1%
1 2
 
6.1%
6 2
 
6.1%
4 1
 
3.0%
8 1
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 6
18.2%
0 5
15.2%
2 5
15.2%
9 4
12.1%
5 4
12.1%
7 3
9.1%
1 2
 
6.1%
6 2
 
6.1%
4 1
 
3.0%
8 1
 
3.0%

소재지면적
Categorical

CONSTANT 

Distinct1
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size340.0 B
0
26 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 26
100.0%

Length

2024-05-11T07:34:49.244187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:34:49.568181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 26
100.0%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

지번주소
Text

MISSING 

Distinct23
Distinct (%)92.0%
Missing1
Missing (%)3.8%
Memory size340.0 B
2024-05-11T07:34:49.953068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length29
Mean length23.52
Min length19

Characters and Unicode

Total characters588
Distinct characters55
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 (%)84.0%

Sample

1st row서울특별시 동대문구 제기동 122-418번지
2nd row서울특별시 동대문구 제기동 928-2번지
3rd row서울특별시 동대문구 제기동 928-2번지
4th row서울특별시 동대문구 장안동 338-9번지
5th row서울특별시 동대문구 답십리동 58-41번지
ValueCountFrequency (%)
서울특별시 25
22.9%
동대문구 25
22.9%
제기동 9
 
8.3%
답십리동 4
 
3.7%
용두동 4
 
3.7%
전농동 4
 
3.7%
장안동 3
 
2.8%
928-2번지 2
 
1.8%
1019 2
 
1.8%
경동시장 2
 
1.8%
Other values (29) 29
26.6%
2024-05-11T07:34:51.106645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
97
16.5%
동 53
 
9.0%
1 27
 
4.6%
시 27
 
4.6%
문 26
 
4.4%
대 26
 
4.4%
서 25
 
4.3%
구 25
 
4.3%
울 25
 
4.3%
별 25
 
4.3%
Other values (45) 232
39.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 354
60.2%
Decimal Number 115
 
19.6%
Space Separator 97
 
16.5%
Dash Punctuation 21
 
3.6%
Lowercase Letter 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 53
15.0%
시 27
 
7.6%
문 26
 
7.3%
대 26
 
7.3%
서 25
 
7.1%
구 25
 
7.1%
울 25
 
7.1%
별 25
 
7.1%
특 25
 
7.1%
기 10
 
2.8%
Other values (32) 87
24.6%
Decimal Number
ValueCountFrequency (%)
1 27
23.5%
2 16
13.9%
9 13
11.3%
0 11
9.6%
8 10
 
8.7%
3 9
 
7.8%
4 9
 
7.8%
7 7
 
6.1%
5 7
 
6.1%
6 6
 
5.2%
Space Separator
ValueCountFrequency (%)
97
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 21
100.0%
Lowercase Letter
ValueCountFrequency (%)
b 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 354
60.2%
Common 233
39.6%
Latin 1
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 53
15.0%
시 27
 
7.6%
문 26
 
7.3%
대 26
 
7.3%
서 25
 
7.1%
구 25
 
7.1%
울 25
 
7.1%
별 25
 
7.1%
특 25
 
7.1%
기 10
 
2.8%
Other values (32) 87
24.6%
Common
ValueCountFrequency (%)
97
41.6%
1 27
 
11.6%
- 21
 
9.0%
2 16
 
6.9%
9 13
 
5.6%
0 11
 
4.7%
8 10
 
4.3%
3 9
 
3.9%
4 9
 
3.9%
7 7
 
3.0%
Other values (2) 13
 
5.6%
Latin
ValueCountFrequency (%)
b 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 354
60.2%
ASCII 234
39.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
97
41.5%
1 27
 
11.5%
- 21
 
9.0%
2 16
 
6.8%
9 13
 
5.6%
0 11
 
4.7%
8 10
 
4.3%
3 9
 
3.8%
4 9
 
3.8%
7 7
 
3.0%
Other values (3) 14
 
6.0%
Hangul
ValueCountFrequency (%)
동 53
15.0%
시 27
 
7.6%
문 26
 
7.3%
대 26
 
7.3%
서 25
 
7.1%
구 25
 
7.1%
울 25
 
7.1%
별 25
 
7.1%
특 25
 
7.1%
기 10
 
2.8%
Other values (32) 87
24.6%

도로명주소
Text

Distinct25
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Memory size340.0 B
2024-05-11T07:34:51.714406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length41
Mean length32.538462
Min length24

Characters and Unicode

Total characters846
Distinct characters81
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

Unique24 ?
Unique (%)92.3%

Sample

1st row서울특별시 동대문구 고산자로56길 34 (제기동)
2nd row서울특별시 동대문구 약령중앙로10길 17 (제기동)
3rd row서울특별시 동대문구 약령중앙로10길 17 (제기동)
4th row서울특별시 동대문구 답십리로72길 68 (장안동)
5th row서울특별시 동대문구 답십리로58길 25 (답십리동)
ValueCountFrequency (%)
서울특별시 26
 
16.2%
동대문구 26
 
16.2%
제기동 7
 
4.4%
1층 6
 
3.8%
용두동 4
 
2.5%
전농동 4
 
2.5%
장안동 4
 
2.5%
답십리동 4
 
2.5%
답십리로23길 3
 
1.9%
고산자로36길 2
 
1.2%
Other values (64) 74
46.2%
2024-05-11T07:34:52.972570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
134
 
15.8%
동 56
 
6.6%
1 33
 
3.9%
대 29
 
3.4%
시 29
 
3.4%
서 27
 
3.2%
문 27
 
3.2%
울 27
 
3.2%
별 26
 
3.1%
로 26
 
3.1%
Other values (71) 432
51.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 502
59.3%
Space Separator 134
 
15.8%
Decimal Number 131
 
15.5%
Close Punctuation 26
 
3.1%
Open Punctuation 26
 
3.1%
Other Punctuation 20
 
2.4%
Dash Punctuation 6
 
0.7%
Lowercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 56
 
11.2%
대 29
 
5.8%
시 29
 
5.8%
서 27
 
5.4%
문 27
 
5.4%
울 27
 
5.4%
별 26
 
5.2%
로 26
 
5.2%
구 26
 
5.2%
특 26
 
5.2%
Other values (55) 203
40.4%
Decimal Number
ValueCountFrequency (%)
1 33
25.2%
2 26
19.8%
3 21
16.0%
0 11
 
8.4%
6 9
 
6.9%
7 8
 
6.1%
4 8
 
6.1%
5 8
 
6.1%
9 4
 
3.1%
8 3
 
2.3%
Space Separator
ValueCountFrequency (%)
134
100.0%
Close Punctuation
ValueCountFrequency (%)
) 26
100.0%
Open Punctuation
ValueCountFrequency (%)
( 26
100.0%
Other Punctuation
ValueCountFrequency (%)
, 20
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Lowercase Letter
ValueCountFrequency (%)
b 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 502
59.3%
Common 343
40.5%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 56
 
11.2%
대 29
 
5.8%
시 29
 
5.8%
서 27
 
5.4%
문 27
 
5.4%
울 27
 
5.4%
별 26
 
5.2%
로 26
 
5.2%
구 26
 
5.2%
특 26
 
5.2%
Other values (55) 203
40.4%
Common
ValueCountFrequency (%)
134
39.1%
1 33
 
9.6%
2 26
 
7.6%
) 26
 
7.6%
( 26
 
7.6%
3 21
 
6.1%
, 20
 
5.8%
0 11
 
3.2%
6 9
 
2.6%
7 8
 
2.3%
Other values (5) 29
 
8.5%
Latin
ValueCountFrequency (%)
b 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 502
59.3%
ASCII 344
40.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
134
39.0%
1 33
 
9.6%
2 26
 
7.6%
) 26
 
7.6%
( 26
 
7.6%
3 21
 
6.1%
, 20
 
5.8%
0 11
 
3.2%
6 9
 
2.6%
7 8
 
2.3%
Other values (6) 30
 
8.7%
Hangul
ValueCountFrequency (%)
동 56
 
11.2%
대 29
 
5.8%
시 29
 
5.8%
서 27
 
5.4%
문 27
 
5.4%
울 27
 
5.4%
별 26
 
5.2%
로 26
 
5.2%
구 26
 
5.2%
특 26
 
5.2%
Other values (55) 203
40.4%

도로명우편번호
Real number (ℝ)

Distinct18
Distinct (%)69.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2571.8077
Minimum2460
Maximum2646
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2024-05-11T07:34:53.317736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2460
5-th percentile2467.75
Q12554.75
median2570.5
Q32598
95-th percentile2638.5
Maximum2646
Range186
Interquartile range (IQR)43.25

Descriptive statistics

Standard deviation47.765275
Coefficient of variation (CV)0.018572647
Kurtosis1.0968264
Mean2571.8077
Median Absolute Deviation (MAD)20
Skewness-0.91229064
Sum66867
Variance2281.5215
MonotonicityNot monotonic
2024-05-11T07:34:53.894159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
2570 5
19.2%
2571 2
 
7.7%
2551 2
 
7.7%
2584 2
 
7.7%
2550 2
 
7.7%
2466 1
 
3.8%
2473 1
 
3.8%
2578 1
 
3.8%
2599 1
 
3.8%
2637 1
 
3.8%
Other values (8) 8
30.8%
ValueCountFrequency (%)
2460 1
 
3.8%
2466 1
 
3.8%
2473 1
 
3.8%
2550 2
 
7.7%
2551 2
 
7.7%
2566 1
 
3.8%
2570 5
19.2%
2571 2
 
7.7%
2578 1
 
3.8%
2584 2
 
7.7%
ValueCountFrequency (%)
2646 1
3.8%
2639 1
3.8%
2637 1
3.8%
2624 1
3.8%
2615 1
3.8%
2607 1
3.8%
2599 1
3.8%
2595 1
3.8%
2584 2
7.7%
2578 1
3.8%

사업장명
Text

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
2024-05-11T07:34:54.587250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length16
Mean length7.4615385
Min length3

Characters and Unicode

Total characters194
Distinct characters103
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

Unique26 ?
Unique (%)100.0%

Sample

1st row끼니와 끼니
2nd row한의 허브나라
3rd row한의허브나라
4th row브런치독
5th row제이디컴퍼니
ValueCountFrequency (%)
펫21 2
 
5.3%
끼니와 1
 
2.6%
happy 1
 
2.6%
본초마을(댕댕이맘 1
 
2.6%
댕블리 1
 
2.6%
디어마이메이플(dear 1
 
2.6%
my 1
 
2.6%
maple 1
 
2.6%
룩스신 1
 
2.6%
the 1
 
2.6%
Other values (27) 27
71.1%
2024-05-11T07:34:56.089136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
12
 
6.2%
) 7
 
3.6%
( 7
 
3.6%
스 5
 
2.6%
e 5
 
2.6%
디 5
 
2.6%
이 4
 
2.1%
리 4
 
2.1%
피 4
 
2.1%
니 4
 
2.1%
Other values (93) 137
70.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 116
59.8%
Lowercase Letter 23
 
11.9%
Uppercase Letter 22
 
11.3%
Space Separator 12
 
6.2%
Close Punctuation 7
 
3.6%
Open Punctuation 7
 
3.6%
Decimal Number 6
 
3.1%
Other Punctuation 1
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 5
 
4.3%
디 5
 
4.3%
이 4
 
3.4%
리 4
 
3.4%
피 4
 
3.4%
니 4
 
3.4%
댕 4
 
3.4%
브 3
 
2.6%
냥 3
 
2.6%
펫 3
 
2.6%
Other values (61) 77
66.4%
Lowercase Letter
ValueCountFrequency (%)
e 5
21.7%
l 3
13.0%
a 3
13.0%
o 2
 
8.7%
b 2
 
8.7%
h 1
 
4.3%
p 1
 
4.3%
y 1
 
4.3%
r 1
 
4.3%
g 1
 
4.3%
Other values (3) 3
13.0%
Uppercase Letter
ValueCountFrequency (%)
P 3
13.6%
I 2
9.1%
E 2
9.1%
T 2
9.1%
H 2
9.1%
D 2
9.1%
A 2
9.1%
M 2
9.1%
Y 1
 
4.5%
L 1
 
4.5%
Other values (3) 3
13.6%
Decimal Number
ValueCountFrequency (%)
2 3
50.0%
1 3
50.0%
Space Separator
ValueCountFrequency (%)
12
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 116
59.8%
Latin 45
 
23.2%
Common 33
 
17.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 5
 
4.3%
디 5
 
4.3%
이 4
 
3.4%
리 4
 
3.4%
피 4
 
3.4%
니 4
 
3.4%
댕 4
 
3.4%
브 3
 
2.6%
냥 3
 
2.6%
펫 3
 
2.6%
Other values (61) 77
66.4%
Latin
ValueCountFrequency (%)
e 5
 
11.1%
l 3
 
6.7%
P 3
 
6.7%
a 3
 
6.7%
I 2
 
4.4%
E 2
 
4.4%
o 2
 
4.4%
T 2
 
4.4%
H 2
 
4.4%
D 2
 
4.4%
Other values (16) 19
42.2%
Common
ValueCountFrequency (%)
12
36.4%
) 7
21.2%
( 7
21.2%
2 3
 
9.1%
1 3
 
9.1%
. 1
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 116
59.8%
ASCII 78
40.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
12
 
15.4%
) 7
 
9.0%
( 7
 
9.0%
e 5
 
6.4%
2 3
 
3.8%
l 3
 
3.8%
P 3
 
3.8%
1 3
 
3.8%
a 3
 
3.8%
I 2
 
2.6%
Other values (22) 30
38.5%
Hangul
ValueCountFrequency (%)
스 5
 
4.3%
디 5
 
4.3%
이 4
 
3.4%
리 4
 
3.4%
피 4
 
3.4%
니 4
 
3.4%
댕 4
 
3.4%
브 3
 
2.6%
냥 3
 
2.6%
펫 3
 
2.6%
Other values (61) 77
66.4%

최종수정일자
Date

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
Minimum2013-06-27 18:28:27
Maximum2024-04-18 20:03:43
2024-05-11T07:34:56.790664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:34:57.276422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)

데이터갱신구분
Categorical

Distinct2
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size340.0 B
U
13 
I
13 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 13
50.0%
I 13
50.0%

Length

2024-05-11T07:34:57.705796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:34:57.981438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 13
50.0%
i 13
50.0%

데이터갱신일자
Date

Distinct21
Distinct (%)80.8%
Missing0
Missing (%)0.0%
Memory size340.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-03 22:00:00
2024-05-11T07:34:58.236586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:34:58.717319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)

업태구분명
Categorical

IMBALANCE 

Distinct3
Distinct (%)11.5%
Missing0
Missing (%)0.0%
Memory size340.0 B
단미
23 
배합
 
2
보조
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique1 ?
Unique (%)3.8%

Sample

1st row단미
2nd row단미
3rd row배합
4th row단미
5th row단미

Common Values

ValueCountFrequency (%)
단미 23
88.5%
배합 2
 
7.7%
보조 1
 
3.8%

Length

2024-05-11T07:34:59.187572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:34:59.569116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
단미 23
88.5%
배합 2
 
7.7%
보조 1
 
3.8%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct23
Distinct (%)92.0%
Missing1
Missing (%)3.8%
Infinite0
Infinite (%)0.0%
Mean204106.12
Minimum202498.56
Maximum206378.46
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2024-05-11T07:34:59.955644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum202498.56
5-th percentile202650.29
Q1203290.74
median203403.02
Q3204897.75
95-th percentile206325.42
Maximum206378.46
Range3879.8964
Interquartile range (IQR)1607.0044

Descriptive statistics

Standard deviation1213.9287
Coefficient of variation (CV)0.005947537
Kurtosis-0.75418255
Mean204106.12
Median Absolute Deviation (MAD)779.58889
Skewness0.64536658
Sum5102653.1
Variance1473622.9
MonotonicityNot monotonic
2024-05-11T07:35:00.369251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
203403.019535366 2
 
7.7%
203301.309635065 2
 
7.7%
203329.607071525 1
 
3.8%
203318.020899541 1
 
3.8%
202498.559454364 1
 
3.8%
204897.746309122 1
 
3.8%
206378.455896666 1
 
3.8%
204219.516378396 1
 
3.8%
203030.814176015 1
 
3.8%
203087.765897231 1
 
3.8%
Other values (13) 13
50.0%
ValueCountFrequency (%)
202498.559454364 1
3.8%
202648.573497111 1
3.8%
202657.172829283 1
3.8%
203030.814176015 1
3.8%
203087.765897231 1
3.8%
203264.122189027 1
3.8%
203290.741954641 1
3.8%
203301.309635065 2
7.7%
203318.020899541 1
3.8%
203329.607071525 1
3.8%
ValueCountFrequency (%)
206378.455896666 1
3.8%
206371.459870605 1
3.8%
206141.242424353 1
3.8%
206045.968191132 1
3.8%
205194.211566022 1
3.8%
205004.375356464 1
3.8%
204897.746309122 1
3.8%
204691.361240878 1
3.8%
204514.694439419 1
3.8%
204477.374488114 1
3.8%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct23
Distinct (%)92.0%
Missing1
Missing (%)3.8%
Infinite0
Infinite (%)0.0%
Mean452824.6
Minimum451139.69
Maximum454229.27
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2024-05-11T07:35:00.864116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum451139.69
5-th percentile451777.33
Q1452223.72
median452985.73
Q3453197.31
95-th percentile454061.98
Maximum454229.27
Range3089.5836
Interquartile range (IQR)973.59324

Descriptive statistics

Standard deviation739.49093
Coefficient of variation (CV)0.0016330626
Kurtosis0.022743945
Mean452824.6
Median Absolute Deviation (MAD)382.44179
Skewness-0.12860058
Sum11320615
Variance546846.83
MonotonicityNot monotonic
2024-05-11T07:35:01.379936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
452985.725419514 2
 
7.7%
453367.754990357 2
 
7.7%
454092.898622518 1
 
3.8%
453368.16721427 1
 
3.8%
453181.737975749 1
 
3.8%
452180.418566906 1
 
3.8%
452163.80748389 1
 
3.8%
452430.518547191 1
 
3.8%
452850.520559255 1
 
3.8%
453938.311288446 1
 
3.8%
Other values (13) 13
50.0%
ValueCountFrequency (%)
451139.686168402 1
3.8%
451748.804705554 1
3.8%
451891.420220506 1
3.8%
452163.80748389 1
3.8%
452178.850122681 1
3.8%
452180.418566906 1
3.8%
452223.718757996 1
3.8%
452430.518547191 1
3.8%
452465.369591088 1
3.8%
452637.326873061 1
3.8%
ValueCountFrequency (%)
454229.269726288 1
3.8%
454092.898622518 1
3.8%
453938.311288446 1
3.8%
453368.16721427 1
3.8%
453367.754990357 2
7.7%
453197.31199751 1
3.8%
453181.737975749 1
3.8%
453155.768617302 1
3.8%
453095.012147067 1
3.8%
453087.170172134 1
3.8%

축산업무구분명
Categorical

Distinct2
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size340.0 B
사료제조업
15 
<NA>
11 

Length

Max length5
Median length5
Mean length4.5769231
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사료제조업 15
57.7%
<NA> 11
42.3%

Length

2024-05-11T07:35:01.917803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:35:02.376891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사료제조업 15
57.7%
na 11
42.3%

축산물가공업구분명
Categorical

Distinct4
Distinct (%)15.4%
Missing0
Missing (%)0.0%
Memory size340.0 B
단미
13 
<NA>
11 
배합
 
1
보조
 
1

Length

Max length4
Median length2
Mean length2.8461538
Min length2

Unique

Unique2 ?
Unique (%)7.7%

Sample

1st row단미
2nd row단미
3rd row배합
4th row단미
5th row단미

Common Values

ValueCountFrequency (%)
단미 13
50.0%
<NA> 11
42.3%
배합 1
 
3.8%
보조 1
 
3.8%

Length

2024-05-11T07:35:02.920406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:35:03.384795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
단미 13
50.0%
na 11
42.3%
배합 1
 
3.8%
보조 1
 
3.8%

축산일련번호
Categorical

Distinct2
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size340.0 B
<NA>
20 
0
6 

Length

Max length4
Median length4
Mean length3.3076923
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> 20
76.9%
0 6
 
23.1%

Length

2024-05-11T07:35:03.910454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:35:04.351074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 20
76.9%
0 6
 
23.1%

권리주체일련번호
Categorical

Distinct3
Distinct (%)11.5%
Missing0
Missing (%)0.0%
Memory size340.0 B
000
13 
<NA>
11 
L00
2 

Length

Max length4
Median length3
Mean length3.4230769
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
000 13
50.0%
<NA> 11
42.3%
L00 2
 
7.7%

Length

2024-05-11T07:35:04.820619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:35:05.273045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
000 13
50.0%
na 11
42.3%
l00 2
 
7.7%

총인원
Categorical

Distinct2
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size340.0 B
<NA>
20 
0
6 

Length

Max length4
Median length4
Mean length3.3076923
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> 20
76.9%
0 6
 
23.1%

Length

2024-05-11T07:35:05.786416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:35:06.204819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 20
76.9%
0 6
 
23.1%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
0305000030500000342012000120120126<NA>3폐업2폐업20181123<NA><NA><NA><NA>0<NA>서울특별시 동대문구 제기동 122-418번지서울특별시 동대문구 고산자로56길 34 (제기동)2466끼니와 끼니2018-11-23 10:40:29U2018-11-25 02:36:28.0단미203329.607072454092.898623사료제조업단미<NA>000<NA>
1305000030500000342013000120130516<NA>3폐업2폐업<NA><NA><NA><NA><NA>0<NA>서울특별시 동대문구 제기동 928-2번지서울특별시 동대문구 약령중앙로10길 17 (제기동)2570한의 허브나라2013-06-27 18:28:27I2018-08-31 23:59:59.0단미203301.309635453367.75499사료제조업단미<NA>000<NA>
2305000030500000342013000220130627<NA>3폐업2폐업20160527<NA><NA><NA>02-957-91170<NA>서울특별시 동대문구 제기동 928-2번지서울특별시 동대문구 약령중앙로10길 17 (제기동)2570한의허브나라2016-05-27 16:07:55I2018-08-31 23:59:59.0배합203301.309635453367.75499사료제조업배합<NA>000<NA>
3305000030500000342013000320131205<NA>3폐업2폐업20170614<NA><NA><NA><NA>0<NA>서울특별시 동대문구 장안동 338-9번지서울특별시 동대문구 답십리로72길 68 (장안동)2639브런치독2017-06-15 14:36:30I2018-08-31 23:59:59.0단미206371.459871451891.420221사료제조업단미<NA>000<NA>
4305000030500000342014000120140109<NA>3폐업2폐업20181123<NA><NA><NA><NA>0<NA>서울특별시 동대문구 답십리동 58-41번지서울특별시 동대문구 답십리로58길 25 (답십리동)2607제이디컴퍼니2018-11-23 10:41:09U2018-11-25 02:36:28.0단미205194.211566452223.718758사료제조업단미<NA>L00<NA>
5305000030500000342016000120160816<NA>3폐업2폐업20170620<NA><NA><NA><NA>0<NA><NA>서울특별시 동대문구 천호대로91길 20, 지층 (장안동)2646프렌치독2017-06-20 09:16:38I2018-08-31 23:59:59.0단미206045.968191451139.686168사료제조업단미<NA>000<NA>
6305000030500000342018000120180222<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0<NA>서울특별시 동대문구 제기동 940 301호서울특별시 동대문구 약령동길 62, 301호 (제기동)2570펫21 (Pet21)2021-07-16 13:34:41U2021-07-18 02:40:00.0단미203290.741955453197.311998사료제조업단미00000
730500003050000034201900012019-08-26<NA>3폐업2폐업2023-04-11<NA><NA><NA><NA>0<NA>서울특별시 동대문구 제기동 1019 경동시장서울특별시 동대문구 고산자로36길 3, 경동시장 신관 3층 70113호 (제기동)2571투테일스2023-04-11 14:05:10U2022-12-03 23:03:00.0단미203403.019535452985.72542<NA><NA><NA><NA><NA>
8305000030500000342019000220190909<NA>3폐업2폐업20220207<NA><NA><NA><NA>0<NA>서울특별시 동대문구 전농동 650-2서울특별시 동대문구 답십리로 61-1, 지하1층 (전농동)2551핑거스튜디오2022-02-07 15:58:22U2022-02-09 02:40:00.0단미204182.608422452637.326873사료제조업단미00000
9305000030500000342020000120200618<NA>1영업/정상0정상<NA><NA><NA><NA>02-485-50270<NA>서울특별시 동대문구 용두동 119-37번지서울특별시 동대문구 무학로 134, 2층 2-1호 (용두동)2584(주) 엘리텍메디컬2020-06-18 17:53:12I2020-06-20 00:23:17.0보조202648.573497452651.922418사료제조업보조<NA>000<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
16305000030500000342021000520210903<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0<NA>서울특별시 동대문구 전농동 212-2서울특별시 동대문구 답십리로23길 127, 1층 좌측호 (전농동)2550댕블리2021-09-03 09:18:36I2021-09-05 00:22:49.0단미204514.694439453155.768617사료제조업단미00000
17305000030500000342021000620211021<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0<NA>서울특별시 동대문구 전농동 695 동대문 롯데캐슬 노블레스서울특별시 동대문구 답십리로23길 30, 지2층 13호 (전농동, 동대문 롯데캐슬 노블레스)2551디어마이메이플(Dear My Maple)2021-10-25 18:31:34U2021-10-27 02:40:00.0단미<NA><NA>사료제조업단미00000
18305000030500000342022000120220615<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0<NA>서울특별시 동대문구 장안동 370-10서울특별시 동대문구 장한로25길 18, 1층 (장안동)2624룩스신2022-06-15 17:53:42I2021-12-05 23:07:00.0단미206141.242424452178.850123<NA><NA><NA><NA><NA>
19305000030500000342022000220220622<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0<NA>서울특별시 동대문구 전농동 581-51서울특별시 동대문구 답십리로23길 113, 1층 (전농동)2550THE HAPPY TAIL(더해피테일)2022-06-22 16:25:57I2021-12-05 22:04:00.0단미204477.374488453095.012147<NA><NA><NA><NA><NA>
2030500003050000034202200032022-10-11<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0<NA>서울특별시 동대문구 제기동 135-96서울특별시 동대문구 안암로22길 22-2(제기동)2473너구리유격대2023-10-20 11:50:22U2022-10-30 22:02:00.0단미203087.765897453938.311288<NA><NA><NA><NA><NA>
2130500003050000034202200042022-10-27<NA>3폐업2폐업2023-07-20<NA><NA><NA><NA>0<NA>서울특별시 동대문구 용두동 92-7서울특별시 동대문구 왕산로 104, 2층 (용두동)2566퍼피펍피2023-07-20 11:09:49U2022-12-06 22:02:00.0단미203030.814176452850.520559<NA><NA><NA><NA><NA>
22305000030500000342022000520221129<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0<NA>서울특별시 동대문구 답십리동 472-46서울특별시 동대문구 서울시립대로4길 35, 헬로댕 1층 (답십리동)2595헬로댕(hello daeng)2022-11-29 11:33:26I2021-11-02 00:01:00.0단미204219.516378452430.518547<NA><NA><NA><NA><NA>
2330500003050000034202300012023-09-13<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0<NA>서울특별시 동대문구 장안동 335-10 태솔아파트4차서울특별시 동대문구 답십리로 292-3, 태솔아파트4차 102호 (장안동)2637안멍냥2023-09-18 10:49:58U2022-12-08 22:00:00.0단미206378.455897452163.807484<NA><NA><NA><NA><NA>
2430500003050000034202400012024-03-22<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0<NA>서울특별시 동대문구 답십리동 248-16서울특별시 동대문구 전농로 79-17, 1층 (답십리동)2599꼬순bob2024-03-22 15:37:29I2023-12-02 22:04:00.0단미204897.746309452180.418567<NA><NA><NA><NA><NA>
2530500003050000034202400022024-04-18<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0<NA>서울특별시 동대문구 용두동 741-10서울특별시 동대문구 무학로45길 15, 102호 (용두동)2578스니피드2024-04-18 20:03:43I2023-12-03 22:00:00.0단미202498.559454453181.737976<NA><NA><NA><NA><NA>