Overview

Dataset statistics

Number of variables44
Number of observations1544
Missing cells15778
Missing cells (%)23.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory567.1 KiB
Average record size in memory376.1 B

Variable types

Categorical18
Text7
DateTime4
Unsupported8
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
Author강남구
URLhttps://data.seoul.go.kr/dataList/OA-18549/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
업태구분명 has constant value ""Constant
위생업태명 is highly imbalanced (69.8%)Imbalance
총인원 is highly imbalanced (87.7%)Imbalance
본사종업원수 is highly imbalanced (87.7%)Imbalance
공장사무직종업원수 is highly imbalanced (87.7%)Imbalance
공장판매직종업원수 is highly imbalanced (87.7%)Imbalance
공장생산직종업원수 is highly imbalanced (87.7%)Imbalance
보증액 is highly imbalanced (87.7%)Imbalance
월세액 is highly imbalanced (87.7%)Imbalance
다중이용업소여부 is highly imbalanced (96.2%)Imbalance
인허가취소일자 has 1544 (100.0%) missing valuesMissing
폐업일자 has 188 (12.2%) missing valuesMissing
휴업시작일자 has 1544 (100.0%) missing valuesMissing
휴업종료일자 has 1544 (100.0%) missing valuesMissing
재개업일자 has 1544 (100.0%) missing valuesMissing
전화번호 has 117 (7.6%) missing valuesMissing
도로명주소 has 1096 (71.0%) missing valuesMissing
도로명우편번호 has 1104 (71.5%) missing valuesMissing
좌표정보(X) has 43 (2.8%) missing valuesMissing
좌표정보(Y) has 43 (2.8%) missing valuesMissing
남성종사자수 has 333 (21.6%) missing valuesMissing
여성종사자수 has 335 (21.7%) missing valuesMissing
건물소유구분명 has 1544 (100.0%) missing valuesMissing
다중이용업소여부 has 83 (5.4%) missing valuesMissing
시설총규모 has 83 (5.4%) missing valuesMissing
전통업소지정번호 has 1544 (100.0%) missing valuesMissing
전통업소주된음식 has 1544 (100.0%) missing valuesMissing
홈페이지 has 1544 (100.0%) missing valuesMissing
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
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 1103 (71.4%) zerosZeros
여성종사자수 has 1108 (71.8%) zerosZeros

Reproduction

Analysis started2024-04-29 19:45:12.051426
Analysis finished2024-04-29 19:45:13.359993
Duration1.31 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.2 KiB
3220000
1544 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3220000
2nd row3220000
3rd row3220000
4th row3220000
5th row3220000

Common Values

ValueCountFrequency (%)
3220000 1544
100.0%

Length

2024-04-30T04:45:13.440214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:45:13.553560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3220000 1544
100.0%

관리번호
Text

UNIQUE 

Distinct1544
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size12.2 KiB
2024-04-30T04:45:13.748708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters33968
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

Unique1544 ?
Unique (%)100.0%

Sample

1st row3220000-103-1983-03927
2nd row3220000-103-1983-04059
3rd row3220000-103-1986-03782
4th row3220000-103-1987-04066
5th row3220000-103-1988-03679
ValueCountFrequency (%)
3220000-103-1983-03927 1
 
0.1%
3220000-103-1996-03234 1
 
0.1%
3220000-103-1996-03207 1
 
0.1%
3220000-103-1996-03206 1
 
0.1%
3220000-103-1996-03205 1
 
0.1%
3220000-103-1996-03204 1
 
0.1%
3220000-103-1996-03203 1
 
0.1%
3220000-103-1996-03201 1
 
0.1%
3220000-103-1996-03200 1
 
0.1%
3220000-103-1996-03199 1
 
0.1%
Other values (1534) 1534
99.4%
2024-04-30T04:45:14.036865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 10236
30.1%
3 4814
14.2%
- 4632
13.6%
2 3893
 
11.5%
1 3636
 
10.7%
9 3314
 
9.8%
4 1069
 
3.1%
5 645
 
1.9%
6 609
 
1.8%
8 567
 
1.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 29336
86.4%
Dash Punctuation 4632
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 10236
34.9%
3 4814
16.4%
2 3893
 
13.3%
1 3636
 
12.4%
9 3314
 
11.3%
4 1069
 
3.6%
5 645
 
2.2%
6 609
 
2.1%
8 567
 
1.9%
7 553
 
1.9%
Dash Punctuation
ValueCountFrequency (%)
- 4632
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33968
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 10236
30.1%
3 4814
14.2%
- 4632
13.6%
2 3893
 
11.5%
1 3636
 
10.7%
9 3314
 
9.8%
4 1069
 
3.1%
5 645
 
1.9%
6 609
 
1.8%
8 567
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33968
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 10236
30.1%
3 4814
14.2%
- 4632
13.6%
2 3893
 
11.5%
1 3636
 
10.7%
9 3314
 
9.8%
4 1069
 
3.1%
5 645
 
1.9%
6 609
 
1.8%
8 567
 
1.7%
Distinct924
Distinct (%)59.8%
Missing0
Missing (%)0.0%
Memory size12.2 KiB
Minimum1983-11-26 00:00:00
Maximum2023-11-08 00:00:00
2024-04-30T04:45:14.178979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:45:14.324833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1544
Missing (%)100.0%
Memory size13.7 KiB
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.2 KiB
3
1356 
1
188 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 1356
87.8%
1 188
 
12.2%

Length

2024-04-30T04:45:14.455316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:45:14.546172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 1356
87.8%
1 188
 
12.2%

영업상태명
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.2 KiB
폐업
1356 
영업/정상
188 

Length

Max length5
Median length2
Mean length2.365285
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 1356
87.8%
영업/정상 188
 
12.2%

Length

2024-04-30T04:45:14.637351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:45:14.734790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 1356
87.8%
영업/정상 188
 
12.2%
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.2 KiB
2
1356 
1
188 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 1356
87.8%
1 188
 
12.2%

Length

2024-04-30T04:45:14.833402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:45:14.931018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 1356
87.8%
1 188
 
12.2%
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.2 KiB
폐업
1356 
영업
188 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 1356
87.8%
영업 188
 
12.2%

Length

2024-04-30T04:45:15.017360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:45:15.097107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 1356
87.8%
영업 188
 
12.2%

폐업일자
Date

MISSING 

Distinct1071
Distinct (%)79.0%
Missing188
Missing (%)12.2%
Memory size12.2 KiB
Minimum1994-01-14 00:00:00
Maximum2024-04-04 00:00:00
2024-04-30T04:45:15.196415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:45:15.312622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1544
Missing (%)100.0%
Memory size13.7 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1544
Missing (%)100.0%
Memory size13.7 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1544
Missing (%)100.0%
Memory size13.7 KiB

전화번호
Text

MISSING 

Distinct1253
Distinct (%)87.8%
Missing117
Missing (%)7.6%
Memory size12.2 KiB
2024-04-30T04:45:15.534792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length9.6888577
Min length2

Characters and Unicode

Total characters13826
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

Unique1197 ?
Unique (%)83.9%

Sample

1st row0205144606
2nd row02 5550170
3rd row0205413111
4th row0205411818
5th row02 5461414
ValueCountFrequency (%)
02 1000
41.7%
0200000000 26
 
1.1%
0 22
 
0.9%
00000 19
 
0.8%
5696716 4
 
0.2%
0234408233 4
 
0.2%
5696717 4
 
0.2%
5632939 3
 
0.1%
5557575 3
 
0.1%
5491056 3
 
0.1%
Other values (1260) 1311
54.6%
2024-04-30T04:45:15.949904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2732
19.8%
2 2084
15.1%
5 2055
14.9%
4 1181
8.5%
1077
 
7.8%
6 999
 
7.2%
1 899
 
6.5%
3 768
 
5.6%
7 726
 
5.3%
8 682
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12749
92.2%
Space Separator 1077
 
7.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2732
21.4%
2 2084
16.3%
5 2055
16.1%
4 1181
9.3%
6 999
 
7.8%
1 899
 
7.1%
3 768
 
6.0%
7 726
 
5.7%
8 682
 
5.3%
9 623
 
4.9%
Space Separator
ValueCountFrequency (%)
1077
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 13826
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2732
19.8%
2 2084
15.1%
5 2055
14.9%
4 1181
8.5%
1077
 
7.8%
6 999
 
7.2%
1 899
 
6.5%
3 768
 
5.6%
7 726
 
5.3%
8 682
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13826
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2732
19.8%
2 2084
15.1%
5 2055
14.9%
4 1181
8.5%
1077
 
7.8%
6 999
 
7.2%
1 899
 
6.5%
3 768
 
5.6%
7 726
 
5.3%
8 682
 
4.9%
Distinct1383
Distinct (%)89.6%
Missing1
Missing (%)0.1%
Memory size12.2 KiB
2024-04-30T04:45:16.233368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length6
Mean length5.6604018
Min length5

Characters and Unicode

Total characters8734
Distinct characters12
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

Unique1240 ?
Unique (%)80.4%

Sample

1st row142.54
2nd row97.87
3rd row95.40
4th row89.00
5th row40.55
ValueCountFrequency (%)
15.75 4
 
0.3%
14.44 4
 
0.3%
118.75 4
 
0.3%
80.08 3
 
0.2%
141.23 3
 
0.2%
59.80 3
 
0.2%
131.00 3
 
0.2%
148.60 3
 
0.2%
63.43 3
 
0.2%
122.04 3
 
0.2%
Other values (1373) 1510
97.9%
2024-04-30T04:45:16.622757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1561
17.9%
. 1543
17.7%
4 838
9.6%
0 662
7.6%
8 636
7.3%
3 608
 
7.0%
9 604
 
6.9%
2 598
 
6.8%
7 584
 
6.7%
6 567
 
6.5%
Other values (2) 533
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7190
82.3%
Other Punctuation 1544
 
17.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1561
21.7%
4 838
11.7%
0 662
9.2%
8 636
8.8%
3 608
 
8.5%
9 604
 
8.4%
2 598
 
8.3%
7 584
 
8.1%
6 567
 
7.9%
5 532
 
7.4%
Other Punctuation
ValueCountFrequency (%)
. 1543
99.9%
, 1
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
Common 8734
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 1561
17.9%
. 1543
17.7%
4 838
9.6%
0 662
7.6%
8 636
7.3%
3 608
 
7.0%
9 604
 
6.9%
2 598
 
6.8%
7 584
 
6.7%
6 567
 
6.5%
Other values (2) 533
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8734
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1561
17.9%
. 1543
17.7%
4 838
9.6%
0 662
7.6%
8 636
7.3%
3 608
 
7.0%
9 604
 
6.9%
2 598
 
6.8%
7 584
 
6.7%
6 567
 
6.5%
Other values (2) 533
 
6.1%
Distinct178
Distinct (%)11.5%
Missing0
Missing (%)0.0%
Memory size12.2 KiB
2024-04-30T04:45:16.889736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0369171
Min length6

Characters and Unicode

Total characters9321
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

Unique51 ?
Unique (%)3.3%

Sample

1st row135830
2nd row135892
3rd row135874
4th row135952
5th row135892
ValueCountFrequency (%)
135897 49
 
3.2%
135821 43
 
2.8%
135915 43
 
2.8%
135936 42
 
2.7%
135830 38
 
2.5%
135920 35
 
2.3%
135513 35
 
2.3%
135889 31
 
2.0%
135818 30
 
1.9%
135892 30
 
1.9%
Other values (168) 1168
75.6%
2024-04-30T04:45:17.270570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 2053
22.0%
5 1999
21.4%
3 1885
20.2%
8 1027
11.0%
9 879
9.4%
2 362
 
3.9%
7 314
 
3.4%
0 266
 
2.9%
4 245
 
2.6%
6 234
 
2.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9264
99.4%
Dash Punctuation 57
 
0.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 2053
22.2%
5 1999
21.6%
3 1885
20.3%
8 1027
11.1%
9 879
9.5%
2 362
 
3.9%
7 314
 
3.4%
0 266
 
2.9%
4 245
 
2.6%
6 234
 
2.5%
Dash Punctuation
ValueCountFrequency (%)
- 57
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9321
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 2053
22.0%
5 1999
21.4%
3 1885
20.2%
8 1027
11.0%
9 879
9.4%
2 362
 
3.9%
7 314
 
3.4%
0 266
 
2.9%
4 245
 
2.6%
6 234
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9321
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 2053
22.0%
5 1999
21.4%
3 1885
20.2%
8 1027
11.0%
9 879
9.4%
2 362
 
3.9%
7 314
 
3.4%
0 266
 
2.9%
4 245
 
2.6%
6 234
 
2.5%
Distinct1279
Distinct (%)82.8%
Missing0
Missing (%)0.0%
Memory size12.2 KiB
2024-04-30T04:45:17.463578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length39
Mean length22.660622
Min length17

Characters and Unicode

Total characters34988
Distinct characters99
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1070 ?
Unique (%)69.3%

Sample

1st row서울특별시 강남구 논현동 241-5번지
2nd row서울특별시 강남구 신사동 585-6
3rd row서울특별시 강남구 삼성동 112-5번지
4th row서울특별시 강남구 청담동 53-7번지
5th row서울특별시 강남구 신사동 587-1번지
ValueCountFrequency (%)
서울특별시 1544
24.2%
강남구 1544
24.2%
역삼동 446
 
7.0%
논현동 355
 
5.6%
신사동 246
 
3.9%
삼성동 164
 
2.6%
대치동 121
 
1.9%
청담동 119
 
1.9%
지하1층 100
 
1.6%
개포동 60
 
0.9%
Other values (1282) 1681
26.3%
2024-04-30T04:45:17.758565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6294
18.0%
1553
 
4.4%
1547
 
4.4%
1545
 
4.4%
1545
 
4.4%
1544
 
4.4%
1544
 
4.4%
1544
 
4.4%
1544
 
4.4%
1544
 
4.4%
Other values (89) 14784
42.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 20351
58.2%
Decimal Number 6825
 
19.5%
Space Separator 6294
 
18.0%
Dash Punctuation 1490
 
4.3%
Other Punctuation 22
 
0.1%
Uppercase Letter 2
 
< 0.1%
Close Punctuation 2
 
< 0.1%
Open Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1553
 
7.6%
1547
 
7.6%
1545
 
7.6%
1545
 
7.6%
1544
 
7.6%
1544
 
7.6%
1544
 
7.6%
1544
 
7.6%
1544
 
7.6%
1544
 
7.6%
Other values (72) 4897
24.1%
Decimal Number
ValueCountFrequency (%)
1 1474
21.6%
2 819
12.0%
6 716
10.5%
3 626
9.2%
8 612
9.0%
7 573
 
8.4%
5 541
 
7.9%
4 538
 
7.9%
0 500
 
7.3%
9 426
 
6.2%
Other Punctuation
ValueCountFrequency (%)
. 12
54.5%
, 10
45.5%
Space Separator
ValueCountFrequency (%)
6294
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1490
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 20351
58.2%
Common 14635
41.8%
Latin 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1553
 
7.6%
1547
 
7.6%
1545
 
7.6%
1545
 
7.6%
1544
 
7.6%
1544
 
7.6%
1544
 
7.6%
1544
 
7.6%
1544
 
7.6%
1544
 
7.6%
Other values (72) 4897
24.1%
Common
ValueCountFrequency (%)
6294
43.0%
- 1490
 
10.2%
1 1474
 
10.1%
2 819
 
5.6%
6 716
 
4.9%
3 626
 
4.3%
8 612
 
4.2%
7 573
 
3.9%
5 541
 
3.7%
4 538
 
3.7%
Other values (6) 952
 
6.5%
Latin
ValueCountFrequency (%)
B 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 20350
58.2%
ASCII 14637
41.8%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6294
43.0%
- 1490
 
10.2%
1 1474
 
10.1%
2 819
 
5.6%
6 716
 
4.9%
3 626
 
4.3%
8 612
 
4.2%
7 573
 
3.9%
5 541
 
3.7%
4 538
 
3.7%
Other values (7) 954
 
6.5%
Hangul
ValueCountFrequency (%)
1553
 
7.6%
1547
 
7.6%
1545
 
7.6%
1545
 
7.6%
1544
 
7.6%
1544
 
7.6%
1544
 
7.6%
1544
 
7.6%
1544
 
7.6%
1544
 
7.6%
Other values (71) 4896
24.1%
Compat Jamo
ValueCountFrequency (%)
1
100.0%

도로명주소
Text

MISSING 

Distinct442
Distinct (%)98.7%
Missing1096
Missing (%)71.0%
Memory size12.2 KiB
2024-04-30T04:45:17.992281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length38
Mean length26.046875
Min length22

Characters and Unicode

Total characters11669
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

Unique436 ?
Unique (%)97.3%

Sample

1st row서울특별시 강남구 논현로155길 6 (신사동)
2nd row서울특별시 강남구 봉은사로 410 (삼성동)
3rd row서울특별시 강남구 학동로 221 (논현동)
4th row서울특별시 강남구 논현로 657 (논현동)
5th row서울특별시 강남구 삼성로 229 (대치동)
ValueCountFrequency (%)
서울특별시 448
19.4%
강남구 448
19.4%
논현동 123
 
5.3%
역삼동 106
 
4.6%
신사동 54
 
2.3%
삼성동 32
 
1.4%
청담동 31
 
1.3%
지하1층 30
 
1.3%
대치동 29
 
1.3%
도산대로 27
 
1.2%
Other values (439) 976
42.4%
2024-04-30T04:45:18.355691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1856
 
15.9%
490
 
4.2%
489
 
4.2%
489
 
4.2%
461
 
4.0%
449
 
3.8%
449
 
3.8%
448
 
3.8%
448
 
3.8%
448
 
3.8%
Other values (80) 5642
48.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7068
60.6%
Space Separator 1856
 
15.9%
Decimal Number 1719
 
14.7%
Close Punctuation 448
 
3.8%
Open Punctuation 448
 
3.8%
Other Punctuation 113
 
1.0%
Dash Punctuation 14
 
0.1%
Uppercase Letter 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
490
 
6.9%
489
 
6.9%
489
 
6.9%
461
 
6.5%
449
 
6.4%
449
 
6.4%
448
 
6.3%
448
 
6.3%
448
 
6.3%
448
 
6.3%
Other values (63) 2449
34.6%
Decimal Number
ValueCountFrequency (%)
1 426
24.8%
2 227
13.2%
3 187
10.9%
4 163
 
9.5%
6 140
 
8.1%
5 129
 
7.5%
0 127
 
7.4%
8 119
 
6.9%
7 117
 
6.8%
9 84
 
4.9%
Other Punctuation
ValueCountFrequency (%)
, 109
96.5%
. 4
 
3.5%
Space Separator
ValueCountFrequency (%)
1856
100.0%
Close Punctuation
ValueCountFrequency (%)
) 448
100.0%
Open Punctuation
ValueCountFrequency (%)
( 448
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7068
60.6%
Common 4598
39.4%
Latin 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
490
 
6.9%
489
 
6.9%
489
 
6.9%
461
 
6.5%
449
 
6.4%
449
 
6.4%
448
 
6.3%
448
 
6.3%
448
 
6.3%
448
 
6.3%
Other values (63) 2449
34.6%
Common
ValueCountFrequency (%)
1856
40.4%
) 448
 
9.7%
( 448
 
9.7%
1 426
 
9.3%
2 227
 
4.9%
3 187
 
4.1%
4 163
 
3.5%
6 140
 
3.0%
5 129
 
2.8%
0 127
 
2.8%
Other values (6) 447
 
9.7%
Latin
ValueCountFrequency (%)
B 3
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7068
60.6%
ASCII 4601
39.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1856
40.3%
) 448
 
9.7%
( 448
 
9.7%
1 426
 
9.3%
2 227
 
4.9%
3 187
 
4.1%
4 163
 
3.5%
6 140
 
3.0%
5 129
 
2.8%
0 127
 
2.8%
Other values (7) 450
 
9.8%
Hangul
ValueCountFrequency (%)
490
 
6.9%
489
 
6.9%
489
 
6.9%
461
 
6.5%
449
 
6.4%
449
 
6.4%
448
 
6.3%
448
 
6.3%
448
 
6.3%
448
 
6.3%
Other values (63) 2449
34.6%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct155
Distinct (%)35.2%
Missing1104
Missing (%)71.5%
Infinite0
Infinite (%)0.0%
Mean6126.5159
Minimum6011
Maximum6367
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.7 KiB
2024-04-30T04:45:18.484090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6011
5-th percentile6018
Q16054
median6120
Q36179
95-th percentile6279
Maximum6367
Range356
Interquartile range (IQR)125

Descriptive statistics

Standard deviation82.57769
Coefficient of variation (CV)0.013478736
Kurtosis-0.62709428
Mean6126.5159
Median Absolute Deviation (MAD)66
Skewness0.53192626
Sum2695667
Variance6819.0749
MonotonicityNot monotonic
2024-04-30T04:45:18.608068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6035 16
 
1.0%
6120 11
 
0.7%
6058 10
 
0.6%
6054 9
 
0.6%
6114 8
 
0.5%
6061 7
 
0.5%
6123 7
 
0.5%
6098 7
 
0.5%
6221 6
 
0.4%
6220 6
 
0.4%
Other values (145) 353
 
22.9%
(Missing) 1104
71.5%
ValueCountFrequency (%)
6011 4
0.3%
6013 3
0.2%
6014 3
0.2%
6015 2
 
0.1%
6016 3
0.2%
6017 4
0.3%
6018 6
0.4%
6019 2
 
0.1%
6021 3
0.2%
6022 3
0.2%
ValueCountFrequency (%)
6367 1
 
0.1%
6329 3
0.2%
6325 2
 
0.1%
6312 1
 
0.1%
6308 1
 
0.1%
6307 5
0.3%
6302 2
 
0.1%
6296 2
 
0.1%
6283 1
 
0.1%
6282 1
 
0.1%
Distinct1247
Distinct (%)80.8%
Missing0
Missing (%)0.0%
Memory size12.2 KiB
2024-04-30T04:45:18.853753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length14
Mean length3.2648964
Min length1

Characters and Unicode

Total characters5041
Distinct characters582
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1062 ?
Unique (%)68.8%

Sample

1st row하이트
2nd row줄리아나
3rd row바이킹
4th row뮤직라이브러리
5th row선샤인
ValueCountFrequency (%)
노래바 10
 
0.6%
파라오 8
 
0.5%
에이스 8
 
0.5%
샤넬 6
 
0.4%
콘서트 6
 
0.4%
샤인 6
 
0.4%
보디가드 6
 
0.4%
라이브 6
 
0.4%
발리 6
 
0.4%
5
 
0.3%
Other values (1247) 1531
95.8%
2024-04-30T04:45:19.386584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
217
 
4.3%
188
 
3.7%
128
 
2.5%
109
 
2.2%
108
 
2.1%
98
 
1.9%
86
 
1.7%
77
 
1.5%
73
 
1.4%
65
 
1.3%
Other values (572) 3892
77.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4738
94.0%
Uppercase Letter 72
 
1.4%
Lowercase Letter 55
 
1.1%
Space Separator 54
 
1.1%
Close Punctuation 39
 
0.8%
Open Punctuation 39
 
0.8%
Decimal Number 39
 
0.8%
Other Punctuation 4
 
0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
217
 
4.6%
188
 
4.0%
128
 
2.7%
109
 
2.3%
108
 
2.3%
98
 
2.1%
86
 
1.8%
77
 
1.6%
73
 
1.5%
65
 
1.4%
Other values (515) 3589
75.7%
Uppercase Letter
ValueCountFrequency (%)
Q 8
 
11.1%
A 6
 
8.3%
I 5
 
6.9%
O 5
 
6.9%
B 5
 
6.9%
M 4
 
5.6%
P 4
 
5.6%
J 3
 
4.2%
T 3
 
4.2%
G 3
 
4.2%
Other values (13) 26
36.1%
Lowercase Letter
ValueCountFrequency (%)
t 8
14.5%
a 7
12.7%
e 4
 
7.3%
s 4
 
7.3%
i 4
 
7.3%
o 4
 
7.3%
h 4
 
7.3%
r 3
 
5.5%
n 3
 
5.5%
y 3
 
5.5%
Other values (8) 11
20.0%
Decimal Number
ValueCountFrequency (%)
0 11
28.2%
7 6
15.4%
1 5
12.8%
2 5
12.8%
8 5
12.8%
3 3
 
7.7%
5 2
 
5.1%
9 1
 
2.6%
4 1
 
2.6%
Other Punctuation
ValueCountFrequency (%)
' 2
50.0%
. 1
25.0%
? 1
25.0%
Space Separator
ValueCountFrequency (%)
54
100.0%
Close Punctuation
ValueCountFrequency (%)
) 39
100.0%
Open Punctuation
ValueCountFrequency (%)
( 39
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4736
93.9%
Common 176
 
3.5%
Latin 127
 
2.5%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
217
 
4.6%
188
 
4.0%
128
 
2.7%
109
 
2.3%
108
 
2.3%
98
 
2.1%
86
 
1.8%
77
 
1.6%
73
 
1.5%
65
 
1.4%
Other values (513) 3587
75.7%
Latin
ValueCountFrequency (%)
t 8
 
6.3%
Q 8
 
6.3%
a 7
 
5.5%
A 6
 
4.7%
I 5
 
3.9%
O 5
 
3.9%
B 5
 
3.9%
e 4
 
3.1%
s 4
 
3.1%
i 4
 
3.1%
Other values (31) 71
55.9%
Common
ValueCountFrequency (%)
54
30.7%
) 39
22.2%
( 39
22.2%
0 11
 
6.2%
7 6
 
3.4%
1 5
 
2.8%
2 5
 
2.8%
8 5
 
2.8%
3 3
 
1.7%
' 2
 
1.1%
Other values (6) 7
 
4.0%
Han
ValueCountFrequency (%)
1
50.0%
1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4736
93.9%
ASCII 303
 
6.0%
CJK 2
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
217
 
4.6%
188
 
4.0%
128
 
2.7%
109
 
2.3%
108
 
2.3%
98
 
2.1%
86
 
1.8%
77
 
1.6%
73
 
1.5%
65
 
1.4%
Other values (513) 3587
75.7%
ASCII
ValueCountFrequency (%)
54
17.8%
) 39
 
12.9%
( 39
 
12.9%
0 11
 
3.6%
t 8
 
2.6%
Q 8
 
2.6%
a 7
 
2.3%
7 6
 
2.0%
A 6
 
2.0%
I 5
 
1.7%
Other values (47) 120
39.6%
CJK
ValueCountFrequency (%)
1
50.0%
1
50.0%
Distinct838
Distinct (%)54.3%
Missing0
Missing (%)0.0%
Memory size12.2 KiB
Minimum1999-02-08 00:00:00
Maximum2024-04-16 11:56:42
2024-04-30T04:45:19.501119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:45:19.635921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.2 KiB
I
1334 
U
210 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 1334
86.4%
U 210
 
13.6%

Length

2024-04-30T04:45:19.752445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:45:19.832199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 1334
86.4%
u 210
 
13.6%
Distinct192
Distinct (%)12.4%
Missing0
Missing (%)0.0%
Memory size12.2 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:06:00
2024-04-30T04:45:19.958897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:45:20.152871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.2 KiB
단란주점
1544 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
단란주점 1544
100.0%

Length

2024-04-30T04:45:20.321239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:45:20.441765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
단란주점 1544
100.0%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct1144
Distinct (%)76.2%
Missing43
Missing (%)2.8%
Infinite0
Infinite (%)0.0%
Mean203405.01
Minimum201640.07
Maximum209052.07
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.7 KiB
2024-04-30T04:45:20.547291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum201640.07
5-th percentile201971.36
Q1202690.75
median203302.14
Q3204039.74
95-th percentile205214.04
Maximum209052.07
Range7412.0049
Interquartile range (IQR)1348.9875

Descriptive statistics

Standard deviation983.74784
Coefficient of variation (CV)0.0048363993
Kurtosis0.11822875
Mean203405.01
Median Absolute Deviation (MAD)659.15223
Skewness0.56981148
Sum3.0531092 × 108
Variance967759.8
MonotonicityNot monotonic
2024-04-30T04:45:20.673666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
204540.033387783 8
 
0.5%
203102.074986325 6
 
0.4%
202396.738264143 6
 
0.4%
205021.427708749 4
 
0.3%
203861.021589033 4
 
0.3%
203432.102536465 4
 
0.3%
205079.418138107 4
 
0.3%
202857.844551108 4
 
0.3%
202667.551184905 4
 
0.3%
203833.526629951 4
 
0.3%
Other values (1134) 1453
94.1%
(Missing) 43
 
2.8%
ValueCountFrequency (%)
201640.067533451 2
0.1%
201657.313312924 1
0.1%
201658.416590861 2
0.1%
201664.929814711 1
0.1%
201677.130384848 1
0.1%
201677.925882649 1
0.1%
201681.02401057 2
0.1%
201714.828853529 1
0.1%
201718.922834407 1
0.1%
201733.702293954 2
0.1%
ValueCountFrequency (%)
209052.072465426 1
0.1%
205986.126626179 2
0.1%
205969.3237202 1
0.1%
205884.374131265 2
0.1%
205846.039421957 1
0.1%
205797.416567608 1
0.1%
205743.762485994 1
0.1%
205725.227989425 1
0.1%
205719.951082757 1
0.1%
205718.69983574 1
0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct1144
Distinct (%)76.2%
Missing43
Missing (%)2.8%
Infinite0
Infinite (%)0.0%
Mean445225.51
Minimum441161.47
Maximum447400.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.7 KiB
2024-04-30T04:45:20.797867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum441161.47
5-th percentile443131.5
Q1444389.57
median445179.58
Q3446219.78
95-th percentile447142.01
Maximum447400.3
Range6238.8286
Interquartile range (IQR)1830.2044

Descriptive statistics

Standard deviation1288.1277
Coefficient of variation (CV)0.0028932028
Kurtosis-0.081384596
Mean445225.51
Median Absolute Deviation (MAD)928.51336
Skewness-0.45717254
Sum6.6828349 × 108
Variance1659273
MonotonicityNot monotonic
2024-04-30T04:45:20.923164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
444279.629182714 8
 
0.5%
445751.652027981 6
 
0.4%
446331.822616635 6
 
0.4%
444851.260675991 4
 
0.3%
445244.697618622 4
 
0.3%
446124.919902672 4
 
0.3%
444869.834721154 4
 
0.3%
445114.648923458 4
 
0.3%
443299.218136257 4
 
0.3%
444631.325065717 4
 
0.3%
Other values (1134) 1453
94.1%
(Missing) 43
 
2.8%
ValueCountFrequency (%)
441161.475 1
0.1%
441255.220213825 1
0.1%
441312.603786856 1
0.1%
441344.950914234 2
0.1%
441381.125 1
0.1%
441393.155052118 1
0.1%
441429.225000001 1
0.1%
441585.31 2
0.1%
441768.885 1
0.1%
441772.145 2
0.1%
ValueCountFrequency (%)
447400.303560123 1
0.1%
447393.51192286 1
0.1%
447391.130408384 1
0.1%
447386.554980471 1
0.1%
447385.157297544 1
0.1%
447373.299365334 2
0.1%
447362.10796179 2
0.1%
447360.980394068 1
0.1%
447360.06662785 2
0.1%
447356.932800383 1
0.1%

위생업태명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.2 KiB
단란주점
1461 
<NA>
 
83

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
단란주점 1461
94.6%
<NA> 83
 
5.4%

Length

2024-04-30T04:45:21.049047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:45:21.141400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
단란주점 1461
94.6%
na 83
 
5.4%

남성종사자수
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)0.6%
Missing333
Missing (%)21.6%
Infinite0
Infinite (%)0.0%
Mean0.16515277
Minimum0
Maximum8
Zeros1103
Zeros (%)71.4%
Negative0
Negative (%)0.0%
Memory size13.7 KiB
2024-04-30T04:45:21.213427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum8
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.62255767
Coefficient of variation (CV)3.7695867
Kurtosis37.170846
Mean0.16515277
Median Absolute Deviation (MAD)0
Skewness5.2223094
Sum200
Variance0.38757806
MonotonicityNot monotonic
2024-04-30T04:45:21.306718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 1103
71.4%
1 48
 
3.1%
2 42
 
2.7%
3 11
 
0.7%
4 3
 
0.2%
5 3
 
0.2%
8 1
 
0.1%
(Missing) 333
 
21.6%
ValueCountFrequency (%)
0 1103
71.4%
1 48
 
3.1%
2 42
 
2.7%
3 11
 
0.7%
4 3
 
0.2%
5 3
 
0.2%
8 1
 
0.1%
ValueCountFrequency (%)
8 1
 
0.1%
5 3
 
0.2%
4 3
 
0.2%
3 11
 
0.7%
2 42
 
2.7%
1 48
 
3.1%
0 1103
71.4%

여성종사자수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)0.5%
Missing335
Missing (%)21.7%
Infinite0
Infinite (%)0.0%
Mean0.11827957
Minimum0
Maximum5
Zeros1108
Zeros (%)71.8%
Negative0
Negative (%)0.0%
Memory size13.7 KiB
2024-04-30T04:45:21.419651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.44020429
Coefficient of variation (CV)3.7217272
Kurtosis28.14599
Mean0.11827957
Median Absolute Deviation (MAD)0
Skewness4.7041134
Sum143
Variance0.19377982
MonotonicityNot monotonic
2024-04-30T04:45:21.500730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 1108
71.8%
1 67
 
4.3%
2 29
 
1.9%
3 3
 
0.2%
5 1
 
0.1%
4 1
 
0.1%
(Missing) 335
 
21.7%
ValueCountFrequency (%)
0 1108
71.8%
1 67
 
4.3%
2 29
 
1.9%
3 3
 
0.2%
4 1
 
0.1%
5 1
 
0.1%
ValueCountFrequency (%)
5 1
 
0.1%
4 1
 
0.1%
3 3
 
0.2%
2 29
 
1.9%
1 67
 
4.3%
0 1108
71.8%
Distinct6
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size12.2 KiB
기타
1039 
<NA>
265 
유흥업소밀집지역
146 
주택가주변
 
73
학교정화(상대)
 
13

Length

Max length8
Median length2
Mean length3.1185233
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row기타
2nd row유흥업소밀집지역
3rd row주택가주변
4th row주택가주변
5th row학교정화(상대)

Common Values

ValueCountFrequency (%)
기타 1039
67.3%
<NA> 265
 
17.2%
유흥업소밀집지역 146
 
9.5%
주택가주변 73
 
4.7%
학교정화(상대) 13
 
0.8%
아파트지역 8
 
0.5%

Length

2024-04-30T04:45:21.597246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:45:21.688838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타 1039
67.3%
na 265
 
17.2%
유흥업소밀집지역 146
 
9.5%
주택가주변 73
 
4.7%
학교정화(상대 13
 
0.8%
아파트지역 8
 
0.5%

등급구분명
Categorical

Distinct8
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size12.2 KiB
기타
705 
자율
428 
<NA>
286 
 
43
지도
 
30
Other values (3)
 
52

Length

Max length4
Median length2
Mean length2.3277202
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row기타
2nd row기타
3rd row
4th row
5th row기타

Common Values

ValueCountFrequency (%)
기타 705
45.7%
자율 428
27.7%
<NA> 286
18.5%
43
 
2.8%
지도 30
 
1.9%
관리 24
 
1.6%
23
 
1.5%
우수 5
 
0.3%

Length

2024-04-30T04:45:21.788136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:45:21.893132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타 705
45.7%
자율 428
27.7%
na 286
18.5%
43
 
2.8%
지도 30
 
1.9%
관리 24
 
1.6%
23
 
1.5%
우수 5
 
0.3%
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.2 KiB
상수도전용
1266 
<NA>
278 

Length

Max length5
Median length5
Mean length4.8199482
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
상수도전용 1266
82.0%
<NA> 278
 
18.0%

Length

2024-04-30T04:45:22.012787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:45:22.107827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
상수도전용 1266
82.0%
na 278
 
18.0%

총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.2 KiB
<NA>
1518 
0
 
26

Length

Max length4
Median length4
Mean length3.9494819
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> 1518
98.3%
0 26
 
1.7%

Length

2024-04-30T04:45:22.207006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:45:22.292220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1518
98.3%
0 26
 
1.7%

본사종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.2 KiB
<NA>
1518 
0
 
26

Length

Max length4
Median length4
Mean length3.9494819
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> 1518
98.3%
0 26
 
1.7%

Length

2024-04-30T04:45:22.380751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:45:22.473834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1518
98.3%
0 26
 
1.7%

공장사무직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.2 KiB
<NA>
1518 
0
 
26

Length

Max length4
Median length4
Mean length3.9494819
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> 1518
98.3%
0 26
 
1.7%

Length

2024-04-30T04:45:22.568049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:45:22.657635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1518
98.3%
0 26
 
1.7%

공장판매직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.2 KiB
<NA>
1518 
0
 
26

Length

Max length4
Median length4
Mean length3.9494819
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> 1518
98.3%
0 26
 
1.7%

Length

2024-04-30T04:45:22.749967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:45:22.837646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1518
98.3%
0 26
 
1.7%

공장생산직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.2 KiB
<NA>
1518 
0
 
26

Length

Max length4
Median length4
Mean length3.9494819
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> 1518
98.3%
0 26
 
1.7%

Length

2024-04-30T04:45:22.944039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:45:23.051018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1518
98.3%
0 26
 
1.7%

건물소유구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1544
Missing (%)100.0%
Memory size13.7 KiB

보증액
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.2 KiB
<NA>
1518 
0
 
26

Length

Max length4
Median length4
Mean length3.9494819
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> 1518
98.3%
0 26
 
1.7%

Length

2024-04-30T04:45:23.145756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:45:23.230737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1518
98.3%
0 26
 
1.7%

월세액
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.2 KiB
<NA>
1518 
0
 
26

Length

Max length4
Median length4
Mean length3.9494819
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> 1518
98.3%
0 26
 
1.7%

Length

2024-04-30T04:45:23.320700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:45:23.406197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1518
98.3%
0 26
 
1.7%

다중이용업소여부
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)0.1%
Missing83
Missing (%)5.4%
Memory size3.1 KiB
False
1455 
True
 
6
(Missing)
 
83
ValueCountFrequency (%)
False 1455
94.2%
True 6
 
0.4%
(Missing) 83
 
5.4%
2024-04-30T04:45:23.483808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

MISSING 

Distinct1316
Distinct (%)90.1%
Missing83
Missing (%)5.4%
Infinite0
Infinite (%)0.0%
Mean116.82665
Minimum0
Maximum1120.24
Zeros1
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size13.7 KiB
2024-04-30T04:45:23.583749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile50.11
Q189.63
median117.28
Q3141.38
95-th percentile151.86
Maximum1120.24
Range1120.24
Interquartile range (IQR)51.75

Descriptive statistics

Standard deviation59.04225
Coefficient of variation (CV)0.50538342
Kurtosis82.629585
Mean116.82665
Median Absolute Deviation (MAD)25.6
Skewness6.5321718
Sum170683.73
Variance3485.9873
MonotonicityNot monotonic
2024-04-30T04:45:23.689711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
118.75 4
 
0.3%
14.44 4
 
0.3%
15.75 4
 
0.3%
137.0 3
 
0.2%
131.76 3
 
0.2%
140.85 3
 
0.2%
122.04 3
 
0.2%
63.43 3
 
0.2%
148.6 3
 
0.2%
141.23 3
 
0.2%
Other values (1306) 1428
92.5%
(Missing) 83
 
5.4%
ValueCountFrequency (%)
0.0 1
 
0.1%
14.24 1
 
0.1%
14.44 4
0.3%
15.75 4
0.3%
17.2 1
 
0.1%
17.47 1
 
0.1%
17.49 1
 
0.1%
19.47 2
0.1%
20.42 1
 
0.1%
21.3 1
 
0.1%
ValueCountFrequency (%)
1120.24 1
0.1%
823.19 1
0.1%
581.28 1
0.1%
561.23 1
0.1%
533.92 1
0.1%
519.34 1
0.1%
508.76 1
0.1%
472.24 1
0.1%
457.94 1
0.1%
451.59 1
0.1%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1544
Missing (%)100.0%
Memory size13.7 KiB

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1544
Missing (%)100.0%
Memory size13.7 KiB

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1544
Missing (%)100.0%
Memory size13.7 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
032200003220000-103-1983-0392719831230<NA>3폐업2폐업19941012<NA><NA><NA>0205144606142.54135830서울특별시 강남구 논현동 241-5번지<NA><NA>하이트2001-08-02 00:00:00I2018-08-31 23:59:59.0단란주점203552.570583446064.905342단란주점00기타기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N142.54<NA><NA><NA>
132200003220000-103-1983-0405919831126<NA>1영업/정상1영업<NA><NA><NA><NA><NA>97.87135892서울특별시 강남구 신사동 585-6서울특별시 강남구 논현로155길 6 (신사동)6032줄리아나2020-08-14 15:18:22U2020-08-16 02:40:00.0단란주점202372.465591446641.566132단란주점13유흥업소밀집지역기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N97.87<NA><NA><NA>
232200003220000-103-1986-0378219861222<NA>3폐업2폐업20130516<NA><NA><NA>02 555017095.40135874서울특별시 강남구 삼성동 112-5번지서울특별시 강남구 봉은사로 410 (삼성동)6153바이킹2004-06-04 00:00:00I2018-08-31 23:59:59.0단란주점203943.259445342.390545단란주점00주택가주변상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N95.4<NA><NA><NA>
332200003220000-103-1987-0406619871207<NA>3폐업2폐업20010625<NA><NA><NA>020541311189.00135952서울특별시 강남구 청담동 53-7번지<NA><NA>뮤직라이브러리2001-08-02 00:00:00I2018-08-31 23:59:59.0단란주점204714.758457446852.078364단란주점00주택가주변상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N89.0<NA><NA><NA>
432200003220000-103-1988-0367919880824<NA>3폐업2폐업20100527<NA><NA><NA>020541181840.55135892서울특별시 강남구 신사동 587-1번지<NA><NA>선샤인2001-08-02 00:00:00I2018-08-31 23:59:59.0단란주점202471.536205446478.944977단란주점00학교정화(상대)기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N40.55<NA><NA><NA>
532200003220000-103-1989-0343519890916<NA>3폐업2폐업20080624<NA><NA><NA>02 5461414131.02135957서울특별시 강남구 청담동 129-9번지 별관으로이전<NA><NA>(주)크로바관광호텔'싸피'2001-11-23 00:00:00I2018-08-31 23:59:59.0단란주점204640.602313447040.026226단란주점00유흥업소밀집지역상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N131.02<NA><NA><NA>
632200003220000-103-1991-031291991-01-17<NA>1영업/정상1영업<NA><NA><NA><NA>02 518 7115147.00135-818서울특별시 강남구 논현동 89-19서울특별시 강남구 학동로 221 (논현동)6053에바다(Ephphata)2023-10-25 16:41:03U2022-10-30 22:07:00.0단란주점202878.0959445870.979863<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
732200003220000-103-1991-0392119910112<NA>3폐업2폐업19940530<NA><NA><NA>020566429181.60135843서울특별시 강남구 대치동 922-29번지<NA><NA>동원2001-08-02 00:00:00I2018-08-31 23:59:59.0단란주점204571.447122444023.064936단란주점00기타기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N81.6<NA><NA><NA>
832200003220000-103-1993-0377819930311<NA>3폐업2폐업20141231<NA><NA><NA>0200000000125.96135824서울특별시 강남구 논현동 130-17번지서울특별시 강남구 논현로 657 (논현동)6112밧줄2002-05-16 00:00:00I2018-08-31 23:59:59.0단란주점202671.583409445590.827112단란주점00기타기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N125.96<NA><NA><NA>
932200003220000-103-1993-0390819931231<NA>3폐업2폐업19950204<NA><NA><NA>0205627852118.17135915서울특별시 강남구 역삼동 674-17번지<NA><NA>캐스팅2001-11-14 00:00:00I2018-08-31 23:59:59.0단란주점203520.315265444637.50192단란주점00기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N118.17<NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
153432200003220000-103-2015-0000220150610<NA>3폐업2폐업20180731<NA><NA><NA><NA>178.12135840서울특별시 강남구 대치동 891-50번지 지하1층서울특별시 강남구 테헤란로78길 14-15, 지하1층 (대치동)6194피노키오 노래광장2018-07-31 16:52:08I2018-08-31 23:59:59.0단란주점204738.982199444740.999059단란주점<NA><NA>유흥업소밀집지역<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N178.12<NA><NA><NA>
153532200003220000-103-2016-0000120160407<NA>3폐업2폐업20190313<NA><NA><NA><NA>87.48135920서울특별시 강남구 역삼동 719-18번지 3층서울특별시 강남구 언주로87길 24, 3층 (역삼동)6221삼칠이2019-03-13 16:09:51U2019-03-15 02:40:00.0단란주점203557.912978444347.55282단란주점<NA><NA>유흥업소밀집지역기타<NA><NA><NA><NA><NA><NA><NA><NA><NA>Y87.48<NA><NA><NA>
153632200003220000-103-2016-0000220160628<NA>3폐업2폐업20200102<NA><NA><NA>02 5387982114.36135910서울특별시 강남구 역삼동 642-5번지 3층서울특별시 강남구 논현로93길 3, 3층동 (역삼동)6132베르사유 노래빠2020-01-02 14:17:43U2020-01-04 02:40:00.0단란주점203103.803099444408.093942단란주점10기타기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N114.36<NA><NA><NA>
153732200003220000-103-2017-0000120170713<NA>1영업/정상1영업<NA><NA><NA><NA><NA>148.75135933서울특별시 강남구 역삼동 823-8번지서울특별시 강남구 테헤란로10길 14 (역삼동, 지하)6234디깅2017-07-13 17:29:59I2018-08-31 23:59:59.0단란주점202789.361724444000.732066단란주점<NA><NA>기타<NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N148.75<NA><NA><NA>
153832200003220000-103-2017-0000220171205<NA>3폐업2폐업20190102<NA><NA><NA><NA>108.36135933서울특별시 강남구 역삼동 823-20번지 지하1층서울특별시 강남구 테헤란로10길 16, 지하1층 (역삼동)6234제니스2019-01-02 17:18:48U2019-01-04 02:40:00.0단란주점202793.669476443989.997982단란주점<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N108.36<NA><NA><NA>
153932200003220000-103-2018-0000120180205<NA>1영업/정상1영업<NA><NA><NA><NA><NA>84.04135893서울특별시 강남구 신사동 588-16 현대썬앤빌서울특별시 강남구 도산대로 225, 지하2층 (신사동, 현대썬앤빌)6026느리게 걷기2021-04-14 18:03:11U2021-04-16 02:40:00.0단란주점202705.380724446541.481011단란주점<NA><NA>학교정화(상대)<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N84.04<NA><NA><NA>
154032200003220000-103-2018-0000220180716<NA>3폐업2폐업20210514<NA><NA><NA><NA>132.25135915서울특별시 강남구 역삼동 678-2서울특별시 강남구 논현로94길 24, 지하1층층 (역삼동)6141홀인원2021-05-14 11:38:04U2021-05-16 02:40:00.0단란주점203321.940129444500.105531단란주점<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N132.25<NA><NA><NA>
154132200003220000-103-2020-000012020-01-15<NA>1영업/정상1영업<NA><NA><NA><NA><NA>159.13135-920서울특별시 강남구 역삼동 720-9 스타팅빌딩서울특별시 강남구 테헤란로38길 5, 스타팅빌딩 지하1층 (역삼동)6221지젤2024-04-03 13:41:40U2023-12-04 00:05:00.0단란주점203611.421574444381.910373<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
154232200003220000-103-2022-0000120220530<NA>1영업/정상1영업<NA><NA><NA><NA><NA>141.80135935서울특별시 강남구 역삼동 826-36 신소애빌딩 지하1층서울특별시 강남구 테헤란로4길 40, 신소애빌딩 지하1층 (역삼동)6241아지트(AZIT)2022-05-30 09:07:12I2021-12-06 00:08:00.0단란주점202628.563347443736.23374<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
154332200003220000-103-2023-000012023-11-08<NA>1영업/정상1영업<NA><NA><NA><NA><NA>122.00135-915서울특별시 강남구 역삼동 678-2서울특별시 강남구 논현로94길 24, 지하1층 (역삼동)6141엠지(MZ)노래밤2023-11-22 16:19:50U2022-10-31 22:04:00.0단란주점203321.940129444500.105531<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>