Overview

Dataset statistics

Number of variables44
Number of observations10000
Missing cells115964
Missing cells (%)26.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.7 MiB
Average record size in memory384.0 B

Variable types

Categorical18
Text6
DateTime4
Unsupported9
Numeric6
Boolean1

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),위생업태명,남성종사자수,여성종사자수,영업장주변구분명,등급구분명,급수시설구분명,총인원,본사종업원수,공장사무직종업원수,공장판매직종업원수,공장생산직종업원수,건물소유구분명,보증액,월세액,다중이용업소여부,시설총규모,전통업소지정번호,전통업소주된음식,홈페이지
Author광진구
URLhttps://data.seoul.go.kr/dataList/OA-18656/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
등급구분명 is highly imbalanced (50.1%)Imbalance
총인원 is highly imbalanced (79.6%)Imbalance
본사종업원수 is highly imbalanced (79.5%)Imbalance
공장사무직종업원수 is highly imbalanced (79.5%)Imbalance
공장판매직종업원수 is highly imbalanced (79.5%)Imbalance
공장생산직종업원수 is highly imbalanced (79.5%)Imbalance
보증액 is highly imbalanced (79.5%)Imbalance
월세액 is highly imbalanced (79.5%)Imbalance
다중이용업소여부 is highly imbalanced (86.3%)Imbalance
인허가취소일자 has 10000 (100.0%) missing valuesMissing
폐업일자 has 2437 (24.4%) missing valuesMissing
휴업시작일자 has 10000 (100.0%) missing valuesMissing
휴업종료일자 has 10000 (100.0%) missing valuesMissing
재개업일자 has 10000 (100.0%) missing valuesMissing
전화번호 has 2779 (27.8%) missing valuesMissing
소재지면적 has 6446 (64.5%) missing valuesMissing
도로명주소 has 4768 (47.7%) missing valuesMissing
도로명우편번호 has 4829 (48.3%) missing valuesMissing
좌표정보(X) has 334 (3.3%) missing valuesMissing
좌표정보(Y) has 334 (3.3%) missing valuesMissing
남성종사자수 has 5038 (50.4%) missing valuesMissing
여성종사자수 has 5390 (53.9%) missing valuesMissing
건물소유구분명 has 10000 (100.0%) missing valuesMissing
다중이용업소여부 has 1804 (18.0%) missing valuesMissing
시설총규모 has 1804 (18.0%) missing valuesMissing
전통업소지정번호 has 10000 (100.0%) missing valuesMissing
전통업소주된음식 has 10000 (100.0%) missing valuesMissing
홈페이지 has 10000 (100.0%) missing valuesMissing
남성종사자수 is highly skewed (γ1 = 44.83639203)Skewed
여성종사자수 is highly skewed (γ1 = 50.64090651)Skewed
관리번호 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
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
건물소유구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
전통업소지정번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
전통업소주된음식 is an unsupported type, check if it needs cleaning or further analysisUnsupported
홈페이지 is an unsupported type, check if it needs cleaning or further analysisUnsupported
남성종사자수 has 4581 (45.8%) zerosZeros
여성종사자수 has 4102 (41.0%) zerosZeros

Reproduction

Analysis started2024-05-11 00:44:58.307648
Analysis finished2024-05-11 00:45:02.767039
Duration4.46 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
3040000
10000 

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 10000
100.0%

Length

2024-05-11T00:45:03.007280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:45:03.495005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3040000 10000
100.0%

관리번호
Text

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-11T00:45:04.132688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters220000
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

Unique10000 ?
Unique (%)100.0%

Sample

1st row3040000-101-1994-04814
2nd row3040000-101-1996-05807
3rd row3040000-101-2016-00203
4th row3040000-101-2013-00190
5th row3040000-101-1994-03547
ValueCountFrequency (%)
3040000-101-1994-04814 1
 
< 0.1%
3040000-101-2003-00160 1
 
< 0.1%
3040000-101-2019-00186 1
 
< 0.1%
3040000-101-2000-09060 1
 
< 0.1%
3040000-101-1998-06370 1
 
< 0.1%
3040000-101-1992-04896 1
 
< 0.1%
3040000-101-2005-00318 1
 
< 0.1%
3040000-101-1997-06255 1
 
< 0.1%
3040000-101-2009-00419 1
 
< 0.1%
3040000-101-2001-10162 1
 
< 0.1%
Other values (9990) 9990
99.9%
2024-05-11T00:45:05.281300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 89553
40.7%
1 31659
 
14.4%
- 30000
 
13.6%
3 15290
 
7.0%
4 14339
 
6.5%
2 12657
 
5.8%
9 10635
 
4.8%
8 4733
 
2.2%
5 3996
 
1.8%
6 3783
 
1.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 190000
86.4%
Dash Punctuation 30000
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 89553
47.1%
1 31659
 
16.7%
3 15290
 
8.0%
4 14339
 
7.5%
2 12657
 
6.7%
9 10635
 
5.6%
8 4733
 
2.5%
5 3996
 
2.1%
6 3783
 
2.0%
7 3355
 
1.8%
Dash Punctuation
ValueCountFrequency (%)
- 30000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 220000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 89553
40.7%
1 31659
 
14.4%
- 30000
 
13.6%
3 15290
 
7.0%
4 14339
 
6.5%
2 12657
 
5.8%
9 10635
 
4.8%
8 4733
 
2.2%
5 3996
 
1.8%
6 3783
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 220000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 89553
40.7%
1 31659
 
14.4%
- 30000
 
13.6%
3 15290
 
7.0%
4 14339
 
6.5%
2 12657
 
5.8%
9 10635
 
4.8%
8 4733
 
2.2%
5 3996
 
1.8%
6 3783
 
1.7%

인허가일자
Date

Distinct6224
Distinct (%)62.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum1930-04-17 00:00:00
Maximum2024-05-09 00:00:00
2024-05-11T00:45:05.863585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:45:06.485333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

영업상태코드
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
3
7563 
1
2437 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 7563
75.6%
1 2437
 
24.4%

Length

2024-05-11T00:45:07.192147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:45:07.589547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 7563
75.6%
1 2437
 
24.4%

영업상태명
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
폐업
7563 
영업/정상
2437 

Length

Max length5
Median length2
Mean length2.7311
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 7563
75.6%
영업/정상 2437
 
24.4%

Length

2024-05-11T00:45:08.202966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:45:08.647425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 7563
75.6%
영업/정상 2437
 
24.4%

상세영업상태코드
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2
7563 
1
2437 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row2
3rd row1
4th row2
5th row2

Common Values

ValueCountFrequency (%)
2 7563
75.6%
1 2437
 
24.4%

Length

2024-05-11T00:45:09.027342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:45:09.456633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 7563
75.6%
1 2437
 
24.4%

상세영업상태명
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
폐업
7563 
영업
2437 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 7563
75.6%
영업 2437
 
24.4%

Length

2024-05-11T00:45:09.848579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:45:10.204177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 7563
75.6%
영업 2437
 
24.4%

폐업일자
Date

MISSING 

Distinct4241
Distinct (%)56.1%
Missing2437
Missing (%)24.4%
Memory size156.2 KiB
Minimum1988-04-30 00:00:00
Maximum2024-05-08 00:00:00
2024-05-11T00:45:10.674510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:45:11.223732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

전화번호
Text

MISSING 

Distinct6632
Distinct (%)91.8%
Missing2779
Missing (%)27.8%
Memory size156.2 KiB
2024-05-11T00:45:11.951932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length9.9408669
Min length2

Characters and Unicode

Total characters71783
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6325 ?
Unique (%)87.6%

Sample

1st row02 4618268
2nd row02 4972468
3rd row02 4584126
4th row02 4536665
5th row02 4683096
ValueCountFrequency (%)
02 5996
44.3%
0 106
 
0.8%
00000 42
 
0.3%
0200000000 30
 
0.2%
4555000 23
 
0.2%
456 20
 
0.1%
455 17
 
0.1%
02444 17
 
0.1%
466 14
 
0.1%
070 13
 
0.1%
Other values (6672) 7244
53.6%
2024-05-11T00:45:13.126347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 11544
16.1%
2 11360
15.8%
4 11150
15.5%
6880
9.6%
6 6075
8.5%
5 5603
7.8%
3 4187
 
5.8%
9 4069
 
5.7%
7 3902
 
5.4%
8 3688
 
5.1%
Other values (2) 3325
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 64902
90.4%
Space Separator 6880
 
9.6%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 11544
17.8%
2 11360
17.5%
4 11150
17.2%
6 6075
9.4%
5 5603
8.6%
3 4187
 
6.5%
9 4069
 
6.3%
7 3902
 
6.0%
8 3688
 
5.7%
1 3324
 
5.1%
Space Separator
ValueCountFrequency (%)
6880
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 71783
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 11544
16.1%
2 11360
15.8%
4 11150
15.5%
6880
9.6%
6 6075
8.5%
5 5603
7.8%
3 4187
 
5.8%
9 4069
 
5.7%
7 3902
 
5.4%
8 3688
 
5.1%
Other values (2) 3325
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 71783
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 11544
16.1%
2 11360
15.8%
4 11150
15.5%
6880
9.6%
6 6075
8.5%
5 5603
7.8%
3 4187
 
5.8%
9 4069
 
5.7%
7 3902
 
5.4%
8 3688
 
5.1%
Other values (2) 3325
 
4.6%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing6446
Missing (%)64.5%
Memory size156.2 KiB

소재지우편번호
Text

Distinct232
Distinct (%)2.3%
Missing1
Missing (%)< 0.1%
Memory size156.2 KiB
2024-05-11T00:45:14.241986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.1158116
Min length6

Characters and Unicode

Total characters61152
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

Unique25 ?
Unique (%)0.3%

Sample

1st row143841
2nd row143914
3rd row143865
4th row143-847
5th row143914
ValueCountFrequency (%)
143914 564
 
5.6%
143915 452
 
4.5%
143841 378
 
3.8%
143916 311
 
3.1%
143866 221
 
2.2%
143826 214
 
2.1%
143825 210
 
2.1%
143840 198
 
2.0%
143847 189
 
1.9%
143917 180
 
1.8%
Other values (222) 7082
70.8%
2024-05-11T00:45:15.683937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 13611
22.3%
4 12492
20.4%
3 11364
18.6%
8 7774
12.7%
9 4348
 
7.1%
2 2415
 
3.9%
6 2343
 
3.8%
0 2260
 
3.7%
5 1738
 
2.8%
7 1649
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 59994
98.1%
Dash Punctuation 1158
 
1.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 13611
22.7%
4 12492
20.8%
3 11364
18.9%
8 7774
13.0%
9 4348
 
7.2%
2 2415
 
4.0%
6 2343
 
3.9%
0 2260
 
3.8%
5 1738
 
2.9%
7 1649
 
2.7%
Dash Punctuation
ValueCountFrequency (%)
- 1158
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 61152
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 13611
22.3%
4 12492
20.4%
3 11364
18.6%
8 7774
12.7%
9 4348
 
7.1%
2 2415
 
3.9%
6 2343
 
3.8%
0 2260
 
3.7%
5 1738
 
2.8%
7 1649
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 61152
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 13611
22.3%
4 12492
20.4%
3 11364
18.6%
8 7774
12.7%
9 4348
 
7.1%
2 2415
 
3.9%
6 2343
 
3.8%
0 2260
 
3.7%
5 1738
 
2.8%
7 1649
 
2.7%

지번주소
Text

Distinct7311
Distinct (%)73.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-11T00:45:16.454499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length50
Mean length23.5646
Min length16

Characters and Unicode

Total characters235646
Distinct characters346
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5722 ?
Unique (%)57.2%

Sample

1st row서울특별시 광진구 자양동 4-7번지
2nd row서울특별시 광진구 화양동 7-9번지
3rd row서울특별시 광진구 자양동 607-40번지 1층
4th row서울특별시 광진구 능동 220-2 지하1층
5th row서울특별시 광진구 화양동 9-44번지
ValueCountFrequency (%)
서울특별시 10000
22.5%
광진구 9999
22.5%
자양동 2616
 
5.9%
중곡동 2096
 
4.7%
구의동 1949
 
4.4%
화양동 1927
 
4.3%
1층 1640
 
3.7%
군자동 707
 
1.6%
광장동 432
 
1.0%
능동 277
 
0.6%
Other values (6201) 12820
28.8%
2024-05-11T00:45:17.654451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
42558
18.1%
구 11983
 
5.1%
1 10906
 
4.6%
광 10570
 
4.5%
동 10233
 
4.3%
진 10139
 
4.3%
시 10057
 
4.3%
서 10014
 
4.2%
울 10011
 
4.2%
별 10002
 
4.2%
Other values (336) 99173
42.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 134084
56.9%
Decimal Number 47202
 
20.0%
Space Separator 42558
 
18.1%
Dash Punctuation 9702
 
4.1%
Close Punctuation 779
 
0.3%
Open Punctuation 779
 
0.3%
Other Punctuation 272
 
0.1%
Uppercase Letter 224
 
0.1%
Lowercase Letter 29
 
< 0.1%
Math Symbol 13
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 11983
 
8.9%
광 10570
 
7.9%
동 10233
 
7.6%
진 10139
 
7.6%
시 10057
 
7.5%
서 10014
 
7.5%
울 10011
 
7.5%
별 10002
 
7.5%
특 10000
 
7.5%
지 7767
 
5.8%
Other values (276) 33308
24.8%
Uppercase Letter
ValueCountFrequency (%)
A 75
33.5%
B 59
26.3%
C 24
 
10.7%
K 9
 
4.0%
F 8
 
3.6%
S 7
 
3.1%
D 7
 
3.1%
T 5
 
2.2%
L 5
 
2.2%
M 5
 
2.2%
Other values (12) 20
 
8.9%
Lowercase Letter
ValueCountFrequency (%)
e 7
24.1%
r 4
13.8%
n 3
10.3%
t 3
10.3%
c 2
 
6.9%
o 2
 
6.9%
i 2
 
6.9%
w 2
 
6.9%
g 1
 
3.4%
d 1
 
3.4%
Other values (2) 2
 
6.9%
Decimal Number
ValueCountFrequency (%)
1 10906
23.1%
2 7871
16.7%
3 4822
10.2%
4 4508
9.6%
5 4257
 
9.0%
6 4121
 
8.7%
0 2925
 
6.2%
7 2923
 
6.2%
9 2459
 
5.2%
8 2410
 
5.1%
Other Punctuation
ValueCountFrequency (%)
, 253
93.0%
. 7
 
2.6%
? 7
 
2.6%
/ 3
 
1.1%
& 1
 
0.4%
@ 1
 
0.4%
Letter Number
ValueCountFrequency (%)
Ⅳ 1
25.0%
Ⅱ 1
25.0%
Ⅰ 1
25.0%
Ⅲ 1
25.0%
Math Symbol
ValueCountFrequency (%)
~ 12
92.3%
+ 1
 
7.7%
Space Separator
ValueCountFrequency (%)
42558
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9702
100.0%
Close Punctuation
ValueCountFrequency (%)
) 779
100.0%
Open Punctuation
ValueCountFrequency (%)
( 779
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 134084
56.9%
Common 101305
43.0%
Latin 257
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 11983
 
8.9%
광 10570
 
7.9%
동 10233
 
7.6%
진 10139
 
7.6%
시 10057
 
7.5%
서 10014
 
7.5%
울 10011
 
7.5%
별 10002
 
7.5%
특 10000
 
7.5%
지 7767
 
5.8%
Other values (276) 33308
24.8%
Latin
ValueCountFrequency (%)
A 75
29.2%
B 59
23.0%
C 24
 
9.3%
K 9
 
3.5%
F 8
 
3.1%
S 7
 
2.7%
e 7
 
2.7%
D 7
 
2.7%
T 5
 
1.9%
L 5
 
1.9%
Other values (28) 51
19.8%
Common
ValueCountFrequency (%)
42558
42.0%
1 10906
 
10.8%
- 9702
 
9.6%
2 7871
 
7.8%
3 4822
 
4.8%
4 4508
 
4.4%
5 4257
 
4.2%
6 4121
 
4.1%
0 2925
 
2.9%
7 2923
 
2.9%
Other values (12) 6712
 
6.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 134084
56.9%
ASCII 101558
43.1%
Number Forms 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
42558
41.9%
1 10906
 
10.7%
- 9702
 
9.6%
2 7871
 
7.8%
3 4822
 
4.7%
4 4508
 
4.4%
5 4257
 
4.2%
6 4121
 
4.1%
0 2925
 
2.9%
7 2923
 
2.9%
Other values (46) 6965
 
6.9%
Hangul
ValueCountFrequency (%)
구 11983
 
8.9%
광 10570
 
7.9%
동 10233
 
7.6%
진 10139
 
7.6%
시 10057
 
7.5%
서 10014
 
7.5%
울 10011
 
7.5%
별 10002
 
7.5%
특 10000
 
7.5%
지 7767
 
5.8%
Other values (276) 33308
24.8%
Number Forms
ValueCountFrequency (%)
Ⅳ 1
25.0%
Ⅱ 1
25.0%
Ⅰ 1
25.0%
Ⅲ 1
25.0%

도로명주소
Text

MISSING 

Distinct4417
Distinct (%)84.4%
Missing4768
Missing (%)47.7%
Memory size156.2 KiB
2024-05-11T00:45:18.447598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length67
Median length55
Mean length29.702026
Min length21

Characters and Unicode

Total characters155401
Distinct characters350
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3825 ?
Unique (%)73.1%

Sample

1st row서울특별시 광진구 자양번영로6길 43, 1층 (자양동)
2nd row서울특별시 광진구 천호대로110길 8-10, 지하1층 (능동)
3rd row서울특별시 광진구 능동로32길 5, 1층 (능동)
4th row서울특별시 광진구 뚝섬로27길 57, 지하1층 (자양동)
5th row서울특별시 광진구 자양로43길 119, 1층 (중곡동)
ValueCountFrequency (%)
서울특별시 5232
 
16.8%
광진구 5232
 
16.8%
1층 2257
 
7.3%
자양동 1190
 
3.8%
중곡동 948
 
3.1%
구의동 931
 
3.0%
화양동 864
 
2.8%
능동로 358
 
1.2%
아차산로 354
 
1.1%
군자동 348
 
1.1%
Other values (2090) 13366
43.0%
2024-05-11T00:45:20.146909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
25851
 
16.6%
1 7618
 
4.9%
동 6798
 
4.4%
구 6488
 
4.2%
광 6124
 
3.9%
( 5649
 
3.6%
) 5649
 
3.6%
진 5370
 
3.5%
시 5281
 
3.4%
로 5251
 
3.4%
Other values (340) 75322
48.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 88835
57.2%
Space Separator 25851
 
16.6%
Decimal Number 24266
 
15.6%
Open Punctuation 5649
 
3.6%
Close Punctuation 5649
 
3.6%
Other Punctuation 4275
 
2.8%
Dash Punctuation 599
 
0.4%
Uppercase Letter 199
 
0.1%
Math Symbol 39
 
< 0.1%
Lowercase Letter 36
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 6798
 
7.7%
구 6488
 
7.3%
광 6124
 
6.9%
진 5370
 
6.0%
시 5281
 
5.9%
로 5251
 
5.9%
서 5245
 
5.9%
울 5243
 
5.9%
별 5233
 
5.9%
특 5232
 
5.9%
Other values (280) 32570
36.7%
Uppercase Letter
ValueCountFrequency (%)
B 78
39.2%
A 52
26.1%
C 22
 
11.1%
K 9
 
4.5%
S 9
 
4.5%
M 6
 
3.0%
L 4
 
2.0%
J 3
 
1.5%
F 2
 
1.0%
N 2
 
1.0%
Other values (10) 12
 
6.0%
Lowercase Letter
ValueCountFrequency (%)
b 7
19.4%
e 6
16.7%
t 4
11.1%
n 3
8.3%
r 3
8.3%
c 2
 
5.6%
p 2
 
5.6%
i 2
 
5.6%
u 1
 
2.8%
l 1
 
2.8%
Other values (5) 5
13.9%
Decimal Number
ValueCountFrequency (%)
1 7618
31.4%
2 3207
13.2%
3 2594
 
10.7%
5 1856
 
7.6%
0 1855
 
7.6%
4 1695
 
7.0%
6 1687
 
7.0%
7 1359
 
5.6%
8 1288
 
5.3%
9 1107
 
4.6%
Other Punctuation
ValueCountFrequency (%)
, 4261
99.7%
? 6
 
0.1%
. 4
 
0.1%
/ 2
 
< 0.1%
& 1
 
< 0.1%
@ 1
 
< 0.1%
Letter Number
ValueCountFrequency (%)
Ⅳ 1
33.3%
Ⅱ 1
33.3%
Ⅰ 1
33.3%
Math Symbol
ValueCountFrequency (%)
~ 38
97.4%
+ 1
 
2.6%
Space Separator
ValueCountFrequency (%)
25851
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5649
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5649
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 599
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 88835
57.2%
Common 66328
42.7%
Latin 238
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 6798
 
7.7%
구 6488
 
7.3%
광 6124
 
6.9%
진 5370
 
6.0%
시 5281
 
5.9%
로 5251
 
5.9%
서 5245
 
5.9%
울 5243
 
5.9%
별 5233
 
5.9%
특 5232
 
5.9%
Other values (280) 32570
36.7%
Latin
ValueCountFrequency (%)
B 78
32.8%
A 52
21.8%
C 22
 
9.2%
K 9
 
3.8%
S 9
 
3.8%
b 7
 
2.9%
e 6
 
2.5%
M 6
 
2.5%
L 4
 
1.7%
t 4
 
1.7%
Other values (28) 41
17.2%
Common
ValueCountFrequency (%)
25851
39.0%
1 7618
 
11.5%
( 5649
 
8.5%
) 5649
 
8.5%
, 4261
 
6.4%
2 3207
 
4.8%
3 2594
 
3.9%
5 1856
 
2.8%
0 1855
 
2.8%
4 1695
 
2.6%
Other values (12) 6093
 
9.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 88835
57.2%
ASCII 66563
42.8%
Number Forms 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
25851
38.8%
1 7618
 
11.4%
( 5649
 
8.5%
) 5649
 
8.5%
, 4261
 
6.4%
2 3207
 
4.8%
3 2594
 
3.9%
5 1856
 
2.8%
0 1855
 
2.8%
4 1695
 
2.5%
Other values (47) 6328
 
9.5%
Hangul
ValueCountFrequency (%)
동 6798
 
7.7%
구 6488
 
7.3%
광 6124
 
6.9%
진 5370
 
6.0%
시 5281
 
5.9%
로 5251
 
5.9%
서 5245
 
5.9%
울 5243
 
5.9%
별 5233
 
5.9%
특 5232
 
5.9%
Other values (280) 32570
36.7%
Number Forms
ValueCountFrequency (%)
Ⅳ 1
33.3%
Ⅱ 1
33.3%
Ⅰ 1
33.3%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct207
Distinct (%)4.0%
Missing4829
Missing (%)48.3%
Infinite0
Infinite (%)0.0%
Mean5011.1833
Minimum4900
Maximum5119
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T00:45:20.804301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4900
5-th percentile4909
Q14968
median5017
Q35056
95-th percentile5100
Maximum5119
Range219
Interquartile range (IQR)88

Descriptive statistics

Standard deviation58.10603
Coefficient of variation (CV)0.011595271
Kurtosis-0.82510321
Mean5011.1833
Median Absolute Deviation (MAD)44
Skewness-0.21852347
Sum25912829
Variance3376.3107
MonotonicityNot monotonic
2024-05-11T00:45:21.524597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5017 149
 
1.5%
5018 140
 
1.4%
5009 135
 
1.4%
5116 114
 
1.1%
5044 90
 
0.9%
5073 89
 
0.9%
5043 83
 
0.8%
4902 74
 
0.7%
5016 72
 
0.7%
5021 72
 
0.7%
Other values (197) 4153
41.5%
(Missing) 4829
48.3%
ValueCountFrequency (%)
4900 1
 
< 0.1%
4901 8
 
0.1%
4902 74
0.7%
4903 36
0.4%
4904 18
 
0.2%
4905 13
 
0.1%
4906 17
 
0.2%
4907 16
 
0.2%
4908 45
0.4%
4909 54
0.5%
ValueCountFrequency (%)
5119 13
 
0.1%
5118 2
 
< 0.1%
5117 24
 
0.2%
5116 114
1.1%
5115 9
 
0.1%
5113 4
 
< 0.1%
5112 14
 
0.1%
5110 1
 
< 0.1%
5108 1
 
< 0.1%
5106 1
 
< 0.1%

사업장명
Text

Distinct8680
Distinct (%)86.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-11T00:45:22.589581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length31
Mean length5.3585
Min length1

Characters and Unicode

Total characters53585
Distinct characters1111
Distinct categories13 ?
Distinct scripts5 ?
Distinct blocks8 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7866 ?
Unique (%)78.7%

Sample

1st row또와주마차
2nd row토마토
3rd row청송식당
4th row능동빈대떡
5th row림스카레하우스호프
ValueCountFrequency (%)
건대점 85
 
0.8%
전주식당 32
 
0.3%
구의점 29
 
0.3%
카페 22
 
0.2%
김밥천국 16
 
0.1%
군자점 15
 
0.1%
자양점 14
 
0.1%
광진점 13
 
0.1%
중곡점 12
 
0.1%
실내포장마차 11
 
0.1%
Other values (9027) 10603
97.7%
2024-05-11T00:45:24.616055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
식 1194
 
2.2%
이 1191
 
2.2%
점 949
 
1.8%
스 877
 
1.6%
855
 
1.6%
리 842
 
1.6%
당 819
 
1.5%
대 779
 
1.5%
치 674
 
1.3%
마 611
 
1.1%
Other values (1101) 44794
83.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 48584
90.7%
Lowercase Letter 1172
 
2.2%
Uppercase Letter 1029
 
1.9%
Space Separator 855
 
1.6%
Decimal Number 596
 
1.1%
Close Punctuation 542
 
1.0%
Open Punctuation 541
 
1.0%
Other Punctuation 219
 
0.4%
Dash Punctuation 33
 
0.1%
Letter Number 8
 
< 0.1%
Other values (3) 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
식 1194
 
2.5%
이 1191
 
2.5%
점 949
 
2.0%
스 877
 
1.8%
리 842
 
1.7%
당 819
 
1.7%
대 779
 
1.6%
치 674
 
1.4%
마 611
 
1.3%
호 503
 
1.0%
Other values (1020) 40145
82.6%
Lowercase Letter
ValueCountFrequency (%)
e 173
14.8%
a 130
11.1%
o 103
 
8.8%
r 79
 
6.7%
n 68
 
5.8%
t 64
 
5.5%
i 63
 
5.4%
c 62
 
5.3%
l 55
 
4.7%
s 54
 
4.6%
Other values (16) 321
27.4%
Uppercase Letter
ValueCountFrequency (%)
O 86
 
8.4%
A 82
 
8.0%
B 71
 
6.9%
S 70
 
6.8%
C 63
 
6.1%
L 58
 
5.6%
E 58
 
5.6%
T 56
 
5.4%
I 49
 
4.8%
N 47
 
4.6%
Other values (16) 389
37.8%
Decimal Number
ValueCountFrequency (%)
2 105
17.6%
1 96
16.1%
0 95
15.9%
3 51
8.6%
9 50
8.4%
8 46
7.7%
5 42
 
7.0%
7 40
 
6.7%
4 39
 
6.5%
6 32
 
5.4%
Other Punctuation
ValueCountFrequency (%)
& 78
35.6%
. 69
31.5%
, 25
 
11.4%
? 16
 
7.3%
' 15
 
6.8%
! 9
 
4.1%
/ 2
 
0.9%
: 2
 
0.9%
# 2
 
0.9%
@ 1
 
0.5%
Letter Number
ValueCountFrequency (%)
Ⅱ 7
87.5%
Ⅰ 1
 
12.5%
Space Separator
ValueCountFrequency (%)
855
100.0%
Close Punctuation
ValueCountFrequency (%)
) 542
100.0%
Open Punctuation
ValueCountFrequency (%)
( 541
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 33
100.0%
Math Symbol
ValueCountFrequency (%)
+ 4
100.0%
Other Symbol
ValueCountFrequency (%)
℃ 1
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 48538
90.6%
Common 2792
 
5.2%
Latin 2209
 
4.1%
Han 43
 
0.1%
Hiragana 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
식 1194
 
2.5%
이 1191
 
2.5%
점 949
 
2.0%
스 877
 
1.8%
리 842
 
1.7%
당 819
 
1.7%
대 779
 
1.6%
치 674
 
1.4%
마 611
 
1.3%
호 503
 
1.0%
Other values (979) 40099
82.6%
Latin
ValueCountFrequency (%)
e 173
 
7.8%
a 130
 
5.9%
o 103
 
4.7%
O 86
 
3.9%
A 82
 
3.7%
r 79
 
3.6%
B 71
 
3.2%
S 70
 
3.2%
n 68
 
3.1%
t 64
 
2.9%
Other values (44) 1283
58.1%
Han
ValueCountFrequency (%)
土 3
 
7.0%
店 2
 
4.7%
食 2
 
4.7%
家 2
 
4.7%
無 1
 
2.3%
尹 1
 
2.3%
碍 1
 
2.3%
君 1
 
2.3%
子 1
 
2.3%
橋 1
 
2.3%
Other values (28) 28
65.1%
Common
ValueCountFrequency (%)
855
30.6%
) 542
19.4%
( 541
19.4%
2 105
 
3.8%
1 96
 
3.4%
0 95
 
3.4%
& 78
 
2.8%
. 69
 
2.5%
3 51
 
1.8%
9 50
 
1.8%
Other values (17) 310
 
11.1%
Hiragana
ValueCountFrequency (%)
し 1
33.3%
ま 1
33.3%
だ 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 48533
90.6%
ASCII 4992
 
9.3%
CJK 42
 
0.1%
Number Forms 8
 
< 0.1%
Compat Jamo 5
 
< 0.1%
Hiragana 3
 
< 0.1%
Letterlike Symbols 1
 
< 0.1%
CJK Compat Ideographs 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
식 1194
 
2.5%
이 1191
 
2.5%
점 949
 
2.0%
스 877
 
1.8%
리 842
 
1.7%
당 819
 
1.7%
대 779
 
1.6%
치 674
 
1.4%
마 611
 
1.3%
호 503
 
1.0%
Other values (976) 40094
82.6%
ASCII
ValueCountFrequency (%)
855
 
17.1%
) 542
 
10.9%
( 541
 
10.8%
e 173
 
3.5%
a 130
 
2.6%
2 105
 
2.1%
o 103
 
2.1%
1 96
 
1.9%
0 95
 
1.9%
O 86
 
1.7%
Other values (68) 2266
45.4%
Number Forms
ValueCountFrequency (%)
Ⅱ 7
87.5%
Ⅰ 1
 
12.5%
Compat Jamo
ValueCountFrequency (%)
ㅋ 3
60.0%
ㄱ 1
 
20.0%
ㄴ 1
 
20.0%
CJK
ValueCountFrequency (%)
土 3
 
7.1%
店 2
 
4.8%
食 2
 
4.8%
家 2
 
4.8%
無 1
 
2.4%
尹 1
 
2.4%
碍 1
 
2.4%
君 1
 
2.4%
子 1
 
2.4%
橋 1
 
2.4%
Other values (27) 27
64.3%
Letterlike Symbols
ValueCountFrequency (%)
℃ 1
100.0%
Hiragana
ValueCountFrequency (%)
し 1
33.3%
ま 1
33.3%
だ 1
33.3%
CJK Compat Ideographs
ValueCountFrequency (%)
串 1
100.0%

최종수정일자
Date

Distinct6955
Distinct (%)69.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum1999-03-11 00:00:00
Maximum2024-05-09 14:15:56
2024-05-11T00:45:25.244207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:45:25.871965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
I
7009 
U
2991 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 7009
70.1%
U 2991
29.9%

Length

2024-05-11T00:45:26.328348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:45:26.671576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 7009
70.1%
u 2991
29.9%

데이터갱신일자
Date

Distinct1300
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:09:00
2024-05-11T00:45:27.064854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:45:27.717884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

Distinct25
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
한식
3849 
분식
1934 
호프/통닭
1134 
경양식
881 
기타
504 
Other values (20)
1698 

Length

Max length15
Median length2
Mean length2.7742
Min length2

Unique

Unique3 ?
Unique (%)< 0.1%

Sample

1st row분식
2nd row분식
3rd row한식
4th row한식
5th row경양식

Common Values

ValueCountFrequency (%)
한식 3849
38.5%
분식 1934
19.3%
호프/통닭 1134
 
11.3%
경양식 881
 
8.8%
기타 504
 
5.0%
일식 461
 
4.6%
중국식 378
 
3.8%
까페 267
 
2.7%
통닭(치킨) 166
 
1.7%
정종/대포집/소주방 97
 
1.0%
Other values (15) 329
 
3.3%

Length

2024-05-11T00:45:28.238835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
한식 3849
38.5%
분식 1934
19.3%
호프/통닭 1134
 
11.3%
경양식 881
 
8.8%
기타 504
 
5.0%
일식 461
 
4.6%
중국식 378
 
3.8%
까페 267
 
2.7%
통닭(치킨 166
 
1.7%
정종/대포집/소주방 97
 
1.0%
Other values (15) 329
 
3.3%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct4018
Distinct (%)41.6%
Missing334
Missing (%)3.3%
Infinite0
Infinite (%)0.0%
Mean206982.71
Minimum205309.32
Maximum209775.27
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T00:45:28.627740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum205309.32
5-th percentile205763.44
Q1206197.88
median206995.83
Q3207564.48
95-th percentile208394.42
Maximum209775.27
Range4465.9506
Interquartile range (IQR)1366.6001

Descriptive statistics

Standard deviation885.59406
Coefficient of variation (CV)0.0042785895
Kurtosis0.070781969
Mean206982.71
Median Absolute Deviation (MAD)706.75238
Skewness0.5234162
Sum2.0006949 × 109
Variance784276.83
MonotonicityNot monotonic
2024-05-11T00:45:29.017652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
208394.416382167 100
 
1.0%
206349.675048285 39
 
0.4%
208558.286631653 38
 
0.4%
206278.982112971 32
 
0.3%
209775.267831522 30
 
0.3%
206217.434726027 30
 
0.3%
206091.938587177 26
 
0.3%
206135.609362634 25
 
0.2%
206212.244268239 24
 
0.2%
206000.986088047 24
 
0.2%
Other values (4008) 9298
93.0%
(Missing) 334
 
3.3%
ValueCountFrequency (%)
205309.317248339 1
 
< 0.1%
205310.285709458 1
 
< 0.1%
205310.627685744 2
< 0.1%
205338.815962308 1
 
< 0.1%
205338.994390493 1
 
< 0.1%
205339.579978572 2
< 0.1%
205346.565381464 1
 
< 0.1%
205347.861121036 1
 
< 0.1%
205348.244454935 3
< 0.1%
205354.419124997 1
 
< 0.1%
ValueCountFrequency (%)
209775.267831522 30
0.3%
209766.973555533 19
0.2%
209734.218553133 8
 
0.1%
209694.461620206 1
 
< 0.1%
209679.58447051 4
 
< 0.1%
209668.90120464 3
 
< 0.1%
209638.865966592 2
 
< 0.1%
209637.078215509 4
 
< 0.1%
209623.073988618 1
 
< 0.1%
209602.113978282 4
 
< 0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct4018
Distinct (%)41.6%
Missing334
Missing (%)3.3%
Infinite0
Infinite (%)0.0%
Mean449343.45
Minimum447335.83
Maximum452140.33
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T00:45:29.426286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum447335.83
5-th percentile447773.22
Q1448436.34
median449094.14
Q3450297.92
95-th percentile451480.04
Maximum452140.33
Range4804.4965
Interquartile range (IQR)1861.5767

Descriptive statistics

Standard deviation1155.3562
Coefficient of variation (CV)0.0025712096
Kurtosis-0.65405299
Mean449343.45
Median Absolute Deviation (MAD)776.07223
Skewness0.55771919
Sum4.3433538 × 109
Variance1334848
MonotonicityNot monotonic
2024-05-11T00:45:29.946524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
448165.279999905 100
 
1.0%
448396.939704285 39
 
0.4%
448353.905156369 38
 
0.4%
449425.131943862 32
 
0.3%
450327.57709331 30
 
0.3%
448506.218743834 30
 
0.3%
449581.249922815 26
 
0.3%
449591.555579704 25
 
0.2%
449577.174890763 24
 
0.2%
448808.090477312 24
 
0.2%
Other values (4008) 9298
93.0%
(Missing) 334
 
3.3%
ValueCountFrequency (%)
447335.833938181 1
 
< 0.1%
447345.67489312 1
 
< 0.1%
447372.650718356 1
 
< 0.1%
447382.310354354 3
< 0.1%
447399.697266999 1
 
< 0.1%
447404.717192681 1
 
< 0.1%
447411.712462396 1
 
< 0.1%
447413.748434959 1
 
< 0.1%
447421.91647025 1
 
< 0.1%
447423.02550056 2
< 0.1%
ValueCountFrequency (%)
452140.330430016 3
< 0.1%
452136.717870103 2
 
< 0.1%
452134.45276901 6
0.1%
452131.060476514 1
 
< 0.1%
452129.878378933 1
 
< 0.1%
452128.068818571 4
< 0.1%
452126.656821486 5
0.1%
452124.901251429 3
< 0.1%
452123.458782283 3
< 0.1%
452121.764482322 1
 
< 0.1%

위생업태명
Categorical

Distinct24
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
한식
3186 
<NA>
1804 
분식
1801 
호프/통닭
930 
경양식
765 
Other values (19)
1514 

Length

Max length15
Median length2
Mean length2.9503
Min length2

Unique

Unique3 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
한식 3186
31.9%
<NA> 1804
18.0%
분식 1801
18.0%
호프/통닭 930
 
9.3%
경양식 765
 
7.6%
일식 332
 
3.3%
중국식 273
 
2.7%
기타 241
 
2.4%
까페 226
 
2.3%
통닭(치킨) 152
 
1.5%
Other values (14) 290
 
2.9%

Length

2024-05-11T00:45:30.410107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
한식 3186
31.9%
na 1804
18.0%
분식 1801
18.0%
호프/통닭 930
 
9.3%
경양식 765
 
7.6%
일식 332
 
3.3%
중국식 273
 
2.7%
기타 241
 
2.4%
까페 226
 
2.3%
통닭(치킨 152
 
1.5%
Other values (14) 290
 
2.9%

남성종사자수
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct9
Distinct (%)0.2%
Missing5038
Missing (%)50.4%
Infinite0
Infinite (%)0.0%
Mean0.15336558
Minimum0
Maximum94
Zeros4581
Zeros (%)45.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T00:45:30.761760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum94
Range94
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.9452436
Coefficient of variation (CV)12.683704
Kurtosis2139.9837
Mean0.15336558
Median Absolute Deviation (MAD)0
Skewness44.836392
Sum761
Variance3.7839727
MonotonicityNot monotonic
2024-05-11T00:45:31.110788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 4581
45.8%
1 237
 
2.4%
2 114
 
1.1%
3 23
 
0.2%
4 2
 
< 0.1%
6 2
 
< 0.1%
93 1
 
< 0.1%
20 1
 
< 0.1%
94 1
 
< 0.1%
(Missing) 5038
50.4%
ValueCountFrequency (%)
0 4581
45.8%
1 237
 
2.4%
2 114
 
1.1%
3 23
 
0.2%
4 2
 
< 0.1%
6 2
 
< 0.1%
20 1
 
< 0.1%
93 1
 
< 0.1%
94 1
 
< 0.1%
ValueCountFrequency (%)
94 1
 
< 0.1%
93 1
 
< 0.1%
20 1
 
< 0.1%
6 2
 
< 0.1%
4 2
 
< 0.1%
3 23
 
0.2%
2 114
 
1.1%
1 237
 
2.4%
0 4581
45.8%

여성종사자수
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct9
Distinct (%)0.2%
Missing5390
Missing (%)53.9%
Infinite0
Infinite (%)0.0%
Mean0.18698482
Minimum0
Maximum93
Zeros4102
Zeros (%)41.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T00:45:31.756428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum93
Range93
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.5244318
Coefficient of variation (CV)8.1527035
Kurtosis3010.4485
Mean0.18698482
Median Absolute Deviation (MAD)0
Skewness50.640907
Sum862
Variance2.3238922
MonotonicityNot monotonic
2024-05-11T00:45:32.100742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 4102
41.0%
1 317
 
3.2%
2 162
 
1.6%
3 18
 
0.2%
4 5
 
0.1%
5 3
 
< 0.1%
10 1
 
< 0.1%
29 1
 
< 0.1%
93 1
 
< 0.1%
(Missing) 5390
53.9%
ValueCountFrequency (%)
0 4102
41.0%
1 317
 
3.2%
2 162
 
1.6%
3 18
 
0.2%
4 5
 
0.1%
5 3
 
< 0.1%
10 1
 
< 0.1%
29 1
 
< 0.1%
93 1
 
< 0.1%
ValueCountFrequency (%)
93 1
 
< 0.1%
29 1
 
< 0.1%
10 1
 
< 0.1%
5 3
 
< 0.1%
4 5
 
0.1%
3 18
 
0.2%
2 162
 
1.6%
1 317
 
3.2%
0 4102
41.0%

영업장주변구분명
Categorical

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
5407 
주택가주변
3201 
기타
1101 
아파트지역
 
127
유흥업소밀집지역
 
106
Other values (3)
 
58

Length

Max length8
Median length4
Mean length4.1749
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 5407
54.1%
주택가주변 3201
32.0%
기타 1101
 
11.0%
아파트지역 127
 
1.3%
유흥업소밀집지역 106
 
1.1%
결혼예식장주변 33
 
0.3%
학교정화(상대) 13
 
0.1%
학교정화(절대) 12
 
0.1%

Length

2024-05-11T00:45:32.501991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:45:32.858554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5407
54.1%
주택가주변 3201
32.0%
기타 1101
 
11.0%
아파트지역 127
 
1.3%
유흥업소밀집지역 106
 
1.1%
결혼예식장주변 33
 
0.3%
학교정화(상대 13
 
0.1%
학교정화(절대 12
 
0.1%

등급구분명
Categorical

IMBALANCE 

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
5661 
기타
3251 
을
668 
지도
 
286
자율
 
86
Other values (3)
 
48

Length

Max length4
Median length4
Mean length3.0609
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 5661
56.6%
기타 3251
32.5%
을 668
 
6.7%
지도 286
 
2.9%
자율 86
 
0.9%
갑 45
 
0.4%
우수 2
 
< 0.1%
관리 1
 
< 0.1%

Length

2024-05-11T00:45:33.210647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:45:33.442933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5661
56.6%
기타 3251
32.5%
을 668
 
6.7%
지도 286
 
2.9%
자율 86
 
0.9%
갑 45
 
0.4%
우수 2
 
< 0.1%
관리 1
 
< 0.1%

급수시설구분명
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
상수도전용
5612 
<NA>
4381 
상수도(음용)지하수(주방용)겸용
 
7

Length

Max length17
Median length5
Mean length4.5703
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
상수도전용 5612
56.1%
<NA> 4381
43.8%
상수도(음용)지하수(주방용)겸용 7
 
0.1%

Length

2024-05-11T00:45:33.831796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:45:34.159738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
상수도전용 5612
56.1%
na 4381
43.8%
상수도(음용)지하수(주방용)겸용 7
 
0.1%

총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9680 
0
 
320

Length

Max length4
Median length4
Mean length3.904
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> 9680
96.8%
0 320
 
3.2%

Length

2024-05-11T00:45:34.376959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:45:34.559856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9680
96.8%
0 320
 
3.2%

본사종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9679 
0
 
321

Length

Max length4
Median length4
Mean length3.9037
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> 9679
96.8%
0 321
 
3.2%

Length

2024-05-11T00:45:34.834931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:45:35.155115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9679
96.8%
0 321
 
3.2%

공장사무직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9679 
0
 
321

Length

Max length4
Median length4
Mean length3.9037
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> 9679
96.8%
0 321
 
3.2%

Length

2024-05-11T00:45:35.498662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:45:35.814741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9679
96.8%
0 321
 
3.2%

공장판매직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9679 
0
 
321

Length

Max length4
Median length4
Mean length3.9037
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> 9679
96.8%
0 321
 
3.2%

Length

2024-05-11T00:45:36.323582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:45:36.628011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9679
96.8%
0 321
 
3.2%

공장생산직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9679 
0
 
321

Length

Max length4
Median length4
Mean length3.9037
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> 9679
96.8%
0 321
 
3.2%

Length

2024-05-11T00:45:36.941088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:45:37.301403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9679
96.8%
0 321
 
3.2%

건물소유구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

보증액
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9679 
0
 
321

Length

Max length4
Median length4
Mean length3.9037
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> 9679
96.8%
0 321
 
3.2%

Length

2024-05-11T00:45:37.656274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:45:37.985109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9679
96.8%
0 321
 
3.2%

월세액
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9679 
0
 
321

Length

Max length4
Median length4
Mean length3.9037
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> 9679
96.8%
0 321
 
3.2%

Length

2024-05-11T00:45:38.515406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:45:38.847769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9679
96.8%
0 321
 
3.2%

다중이용업소여부
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)< 0.1%
Missing1804
Missing (%)18.0%
Memory size97.7 KiB
False
8039 
True
 
157
(Missing)
1804 
ValueCountFrequency (%)
False 8039
80.4%
True 157
 
1.6%
(Missing) 1804
 
18.0%
2024-05-11T00:45:39.150925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

MISSING 

Distinct4124
Distinct (%)50.3%
Missing1804
Missing (%)18.0%
Infinite0
Infinite (%)0.0%
Mean61.709987
Minimum0
Maximum3703.24
Zeros94
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T00:45:39.575733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile15.385
Q124.0575
median35.775
Q369.175
95-th percentile165
Maximum3703.24
Range3703.24
Interquartile range (IQR)45.1175

Descriptive statistics

Standard deviation101.64775
Coefficient of variation (CV)1.6471847
Kurtosis364.65447
Mean61.709987
Median Absolute Deviation (MAD)15.615
Skewness13.969518
Sum505775.05
Variance10332.264
MonotonicityNot monotonic
2024-05-11T00:45:40.153711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
33.0 105
 
1.1%
0.0 94
 
0.9%
26.4 85
 
0.9%
30.0 74
 
0.7%
23.1 64
 
0.6%
20.0 49
 
0.5%
24.0 48
 
0.5%
66.0 41
 
0.4%
25.0 41
 
0.4%
19.8 40
 
0.4%
Other values (4114) 7555
75.5%
(Missing) 1804
 
18.0%
ValueCountFrequency (%)
0.0 94
0.9%
3.3 1
 
< 0.1%
4.08 1
 
< 0.1%
5.1 1
 
< 0.1%
6.0 3
 
< 0.1%
6.49 1
 
< 0.1%
6.5 1
 
< 0.1%
6.6 3
 
< 0.1%
6.83 1
 
< 0.1%
6.96 2
 
< 0.1%
ValueCountFrequency (%)
3703.24 1
< 0.1%
3275.18 1
< 0.1%
1667.39 1
< 0.1%
1652.9 1
< 0.1%
1367.5 1
< 0.1%
1272.23 1
< 0.1%
1222.0 2
< 0.1%
1189.25 1
< 0.1%
1118.0 1
< 0.1%
1102.0 1
< 0.1%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
372030400003040000-101-1994-0481419940112<NA>3폐업2폐업20000404<NA><NA><NA>02 4618268NaN143841서울특별시 광진구 자양동 4-7번지<NA><NA>또와주마차2001-11-29 00:00:00I2018-08-31 23:59:59.0분식205868.674789448477.805806분식00주택가주변기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N27.3<NA><NA><NA>
495130400003040000-101-1996-0580719960923<NA>3폐업2폐업20030320<NA><NA><NA>02 4972468NaN143914서울특별시 광진구 화양동 7-9번지<NA><NA>토마토2003-10-22 00:00:00I2018-08-31 23:59:59.0분식206098.338891448722.142529분식00기타기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N66.22<NA><NA><NA>
1371830400003040000-101-2016-0020320160722<NA>1영업/정상1영업<NA><NA><NA><NA>02 4584126NaN143865서울특별시 광진구 자양동 607-40번지 1층서울특별시 광진구 자양번영로6길 43, 1층 (자양동)5099청송식당2016-07-22 10:10:53I2018-08-31 23:59:59.0한식206810.838074447753.113169한식<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N32.0<NA><NA><NA>
1256530400003040000-101-2013-001902013-07-09<NA>3폐업2폐업2024-01-30<NA><NA><NA>02 453666523.27143-847서울특별시 광진구 능동 220-2 지하1층서울특별시 광진구 천호대로110길 8-10, 지하1층 (능동)4985능동빈대떡2024-01-30 11:00:57U2023-12-02 00:01:00.0한식206986.439739450469.776055<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
356330400003040000-101-1994-0354719940721<NA>3폐업2폐업19950517<NA><NA><NA>02 4683096NaN143914서울특별시 광진구 화양동 9-44번지<NA><NA>림스카레하우스호프2001-11-29 00:00:00I2018-08-31 23:59:59.0경양식206015.701684448885.029981경양식00주택가주변기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N55.22<NA><NA><NA>
1412330400003040000-101-2017-0025020170915<NA>1영업/정상1영업<NA><NA><NA><NA><NA>24.00143847서울특별시 광진구 능동 221-5번지 1층서울특별시 광진구 능동로32길 5, 1층 (능동)4985솔티드2018-11-02 14:40:28U2018-11-12 04:00:00.0외국음식전문점(인도,태국등)206918.17651450342.75707외국음식전문점(인도,태국등)<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N24.0<NA><NA><NA>
345730400003040000-101-1994-0253819941115<NA>3폐업2폐업19960318<NA><NA><NA>02 4665814NaN143840서울특별시 광진구 군자동 361-24번지<NA><NA>북경2001-11-29 00:00:00I2018-08-31 23:59:59.0중국식206336.811195449538.298274중국식00유흥업소밀집지역기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N78.11<NA><NA><NA>
146330400003040000-101-1989-0076919891227<NA>3폐업2폐업20080324<NA><NA><NA>02 4540053NaN143823서울특별시 광진구 구의동 221-26번지<NA><NA>청기와숯불갈비집2008-03-13 13:21:07I2018-08-31 23:59:59.0한식207787.775607448511.544254한식00주택가주변기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N66.82<NA><NA><NA>
1575930400003040000-101-2021-0015920210423<NA>1영업/정상1영업<NA><NA><NA><NA><NA>65.00143842서울특별시 광진구 자양동 847-9서울특별시 광진구 뚝섬로27길 57, 지하1층 (자양동)5078건대커피호프2022-11-07 10:43:49U2021-11-01 00:09:00.0한식205813.305014448464.864697<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
98330400003040000-101-1987-0042419870312<NA>3폐업2폐업19951019<NA><NA><NA>02 4621746NaN143915서울특별시 광진구 화양동 111-114번지<NA><NA>고래사냥2001-11-29 00:00:00I2018-08-31 23:59:59.0한식206411.586296449410.214762한식22주택가주변지도상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N12.0<NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
1053830400003040000-101-2008-0015820080604<NA>3폐업2폐업20171208<NA><NA><NA>0234365517NaN143821서울특별시 광진구 구의동 202-4번지서울특별시 광진구 광나루로 584 (구의동)5033완산골명가구의점2017-12-08 14:37:17I2018-08-31 23:59:59.0한식208198.051823448981.070521한식<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N90.0<NA><NA><NA>
150630400003040000-101-1989-0159119891204<NA>3폐업2폐업19970212<NA><NA><NA>02 4465883NaN143827서울특별시 광진구 구의동 254-12번지<NA><NA>둥지식당2001-11-29 00:00:00I2018-08-31 23:59:59.0한식207384.290633449025.220565한식0<NA>주택가주변을상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N15.67<NA><NA><NA>
1552330400003040000-101-2020-003982020-11-06<NA>3폐업2폐업2024-03-29<NA><NA><NA><NA>67.44143-916서울특별시 광진구 화양동 29-22 지하1층서울특별시 광진구 능동로 154, 지하1층 (화양동)5021포인트2024-04-01 09:49:48U2023-12-04 00:03:00.0기타206389.646687449144.186955<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1260430400003040000-101-2013-0022920130816<NA>3폐업2폐업20140929<NA><NA><NA><NA>NaN143889서울특별시 광진구 중곡동 107-43번지서울특별시 광진구 영화사로 59 (중곡동)4947씨엔에스치킨2013-08-16 16:42:34I2018-08-31 23:59:59.0통닭(치킨)208148.536799450342.619689통닭(치킨)<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N33.0<NA><NA><NA>
1340530400003040000-101-2015-002742015-09-25<NA>3폐업2폐업2023-02-15<NA><NA><NA>02 458787228.00143-852서울특별시 광진구 자양동 230-8 1층서울특별시 광진구 아차산로42길 29, 1층 (자양동)5054까삐또카페테리아2023-02-15 13:55:24U2022-12-01 23:07:00.0분식206910.261429448214.051056<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1676830400003040000-101-2023-002422023-06-23<NA>1영업/정상1영업<NA><NA><NA><NA><NA>22.14143-916서울특별시 광진구 화양동 20-30 1층101호서울특별시 광진구 동일로30길 16, 1층 101호 (화양동)5007플러스82 건대점2023-06-23 17:27:11I2022-12-05 22:05:00.0분식205944.18695449474.190219<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1144530400003040000-101-2010-0024520100812<NA>3폐업2폐업20220323<NA><NA><NA>02 464 115880.00143839서울특별시 광진구 군자동 134-30 (1층)서울특별시 광진구 동일로 274 (군자동,(1층))5000북촌삼대갈비(군자점)2022-03-23 11:47:51U2022-03-26 02:40:00.0한식206289.074635450387.725068한식00<NA><NA><NA>00000<NA>00N80.0<NA><NA><NA>
1005330400003040000-101-2007-0007120070315<NA>3폐업2폐업20170531<NA><NA><NA>0220241365NaN143758서울특별시 광진구 자양동 227-7번지 스타시티판매동 지하1층64호서울특별시 광진구 아차산로 262 (자양동)5065명동칼국수샤브샤브2017-05-31 13:05:50I2018-08-31 23:59:59.0분식206349.675048448396.939704분식00<NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N73.19<NA><NA><NA>
1489030400003040000-101-2019-0017420190524<NA>3폐업2폐업20221019<NA><NA><NA>02 453112054.10143959서울특별시 광진구 구의동 224-68서울특별시 광진구 구의로 48, 1층 (구의동)5036킹콩부대찌개구의점2022-10-19 11:12:55U2021-10-30 22:01:00.0한식207902.279656448879.106976<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
243630400003040000-101-1992-0115819920120<NA>3폐업2폐업20030529<NA><NA><NA>02 4567090NaN143887서울특별시 광진구 중곡동 78-37번지<NA><NA>미림식당2002-03-19 00:00:00I2018-08-31 23:59:59.0한식207812.141763450677.039619한식00주택가주변기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N29.26<NA><NA><NA>