Overview

Dataset statistics

Number of variables8
Number of observations1446
Missing cells1309
Missing cells (%)11.3%
Duplicate rows16
Duplicate rows (%)1.1%
Total size in memory91.9 KiB
Average record size in memory65.1 B

Variable types

DateTime3
Numeric1
Categorical1
Text3

Dataset

Description송파구 유흥 단란주점 현황으로 인허가일자, 인허가번호, 업소명, 주소, 폐업일, 기준일자 정보
Author서울특별시 송파구
URLhttps://www.data.go.kr/data/15044850/fileData.do

Alerts

기준일자 has constant value ""Constant
Dataset has 16 (1.1%) duplicate rowsDuplicates
소재지(도로명) has 701 (48.5%) missing valuesMissing
폐업일 has 607 (42.0%) missing valuesMissing

Reproduction

Analysis started2023-12-12 12:58:39.564818
Analysis finished2023-12-12 12:58:40.623627
Duration1.06 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

인허가일자
Date

Distinct721
Distinct (%)49.9%
Missing0
Missing (%)0.0%
Memory size11.4 KiB
Minimum1899-12-30 00:00:00
Maximum2018-06-29 00:00:00
2023-12-12T21:58:40.703723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:58:40.884584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가번호
Real number (ℝ)

Distinct923
Distinct (%)63.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.9967183 × 1010
Minimum1.8990114 × 1010
Maximum2.0180115 × 1010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.8 KiB
2023-12-12T21:58:41.089074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.8990114 × 1010
5-th percentile1.9930115 × 1010
Q11.9940114 × 1010
median1.9950115 × 1010
Q31.9980115 × 1010
95-th percentile2.0097615 × 1010
Maximum2.0180115 × 1010
Range1.1900014 × 109
Interquartile range (IQR)40000969

Descriptive statistics

Standard deviation66886099
Coefficient of variation (CV)0.0033498015
Kurtosis80.868546
Mean1.9967183 × 1010
Median Absolute Deviation (MAD)19999568
Skewness-4.966023
Sum2.8872546 × 1013
Variance4.4737502 × 1015
MonotonicityNot monotonic
2023-12-12T21:58:41.334621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19940115359 11
 
0.8%
19970115268 10
 
0.7%
19930115483 9
 
0.6%
19950114845 8
 
0.6%
19980114266 8
 
0.6%
19930115377 7
 
0.5%
19950114038 7
 
0.5%
19960114910 7
 
0.5%
19940115646 7
 
0.5%
19930115427 7
 
0.5%
Other values (913) 1365
94.4%
ValueCountFrequency (%)
18990114004 1
0.1%
18990114007 1
0.1%
19130114001 1
0.1%
19560114001 1
0.1%
19770114009 1
0.1%
19800114005 1
0.1%
19850114069 1
0.1%
19850114074 1
0.1%
19850114303 1
0.1%
19860114206 1
0.1%
ValueCountFrequency (%)
20180115424 1
0.1%
20170116072 1
0.1%
20170115213 1
0.1%
20170115212 1
0.1%
20170114892 1
0.1%
20170114683 1
0.1%
20160115540 1
0.1%
20160115363 1
0.1%
20160115356 1
0.1%
20160115224 1
0.1%

업종명
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.4 KiB
단란주점
1258 
유흥주점
188 

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 1258
87.0%
유흥주점 188
 
13.0%

Length

2023-12-12T21:58:41.483910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:58:41.606240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
단란주점 1258
87.0%
유흥주점 188
 
13.0%

업소명
Text

Distinct1155
Distinct (%)79.9%
Missing0
Missing (%)0.0%
Memory size11.4 KiB
2023-12-12T21:58:41.873425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length16
Mean length3.9315353
Min length1

Characters and Unicode

Total characters5685
Distinct characters578
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique984 ?
Unique (%)68.0%

Sample

1st row세븐
2nd row카리스
3rd row씨에프
4th row(주)올림피아나관광호텔리갈
5th row물망초
ValueCountFrequency (%)
노래주점 17
 
1.1%
라이브 11
 
0.7%
월드컵 10
 
0.7%
7080 9
 
0.6%
르네상스 8
 
0.5%
단란주점 7
 
0.5%
카네기 6
 
0.4%
황제 6
 
0.4%
크리스탈 6
 
0.4%
보스 6
 
0.4%
Other values (1147) 1450
94.4%
2023-12-12T21:58:42.373586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
스 196
 
3.4%
이 176
 
3.1%
주 175
 
3.1%
점 161
 
2.8%
노 142
 
2.5%
래 140
 
2.5%
리 112
 
2.0%
아 99
 
1.7%
91
 
1.6%
단 85
 
1.5%
Other values (568) 4308
75.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5086
89.5%
Decimal Number 196
 
3.4%
Uppercase Letter 131
 
2.3%
Space Separator 91
 
1.6%
Open Punctuation 56
 
1.0%
Close Punctuation 55
 
1.0%
Lowercase Letter 53
 
0.9%
Other Punctuation 13
 
0.2%
Letter Number 3
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 196
 
3.9%
이 176
 
3.5%
주 175
 
3.4%
점 161
 
3.2%
노 142
 
2.8%
래 140
 
2.8%
리 112
 
2.2%
아 99
 
1.9%
단 85
 
1.7%
라 83
 
1.6%
Other values (505) 3717
73.1%
Uppercase Letter
ValueCountFrequency (%)
S 18
13.7%
B 18
13.7%
O 13
9.9%
M 10
 
7.6%
J 10
 
7.6%
I 9
 
6.9%
K 7
 
5.3%
D 6
 
4.6%
C 5
 
3.8%
T 4
 
3.1%
Other values (15) 31
23.7%
Lowercase Letter
ValueCountFrequency (%)
e 7
13.2%
u 6
11.3%
o 5
9.4%
n 5
9.4%
i 4
 
7.5%
c 4
 
7.5%
a 4
 
7.5%
s 3
 
5.7%
r 2
 
3.8%
y 2
 
3.8%
Other values (8) 11
20.8%
Decimal Number
ValueCountFrequency (%)
0 76
38.8%
2 35
17.9%
7 31
15.8%
8 27
 
13.8%
1 12
 
6.1%
4 4
 
2.0%
3 4
 
2.0%
5 3
 
1.5%
9 2
 
1.0%
6 2
 
1.0%
Other Punctuation
ValueCountFrequency (%)
. 9
69.2%
# 2
 
15.4%
% 1
 
7.7%
, 1
 
7.7%
Letter Number
ValueCountFrequency (%)
Ⅱ 2
66.7%
Ⅰ 1
33.3%
Space Separator
ValueCountFrequency (%)
91
100.0%
Open Punctuation
ValueCountFrequency (%)
( 56
100.0%
Close Punctuation
ValueCountFrequency (%)
) 55
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5086
89.5%
Common 412
 
7.2%
Latin 187
 
3.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 196
 
3.9%
이 176
 
3.5%
주 175
 
3.4%
점 161
 
3.2%
노 142
 
2.8%
래 140
 
2.8%
리 112
 
2.2%
아 99
 
1.9%
단 85
 
1.7%
라 83
 
1.6%
Other values (505) 3717
73.1%
Latin
ValueCountFrequency (%)
S 18
 
9.6%
B 18
 
9.6%
O 13
 
7.0%
M 10
 
5.3%
J 10
 
5.3%
I 9
 
4.8%
K 7
 
3.7%
e 7
 
3.7%
u 6
 
3.2%
D 6
 
3.2%
Other values (35) 83
44.4%
Common
ValueCountFrequency (%)
91
22.1%
0 76
18.4%
( 56
13.6%
) 55
13.3%
2 35
 
8.5%
7 31
 
7.5%
8 27
 
6.6%
1 12
 
2.9%
. 9
 
2.2%
4 4
 
1.0%
Other values (8) 16
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5086
89.5%
ASCII 596
 
10.5%
Number Forms 3
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
스 196
 
3.9%
이 176
 
3.5%
주 175
 
3.4%
점 161
 
3.2%
노 142
 
2.8%
래 140
 
2.8%
리 112
 
2.2%
아 99
 
1.9%
단 85
 
1.7%
라 83
 
1.6%
Other values (505) 3717
73.1%
ASCII
ValueCountFrequency (%)
91
15.3%
0 76
12.8%
( 56
 
9.4%
) 55
 
9.2%
2 35
 
5.9%
7 31
 
5.2%
8 27
 
4.5%
S 18
 
3.0%
B 18
 
3.0%
O 13
 
2.2%
Other values (51) 176
29.5%
Number Forms
ValueCountFrequency (%)
Ⅱ 2
66.7%
Ⅰ 1
33.3%

소재지(도로명)
Text

MISSING 

Distinct311
Distinct (%)41.7%
Missing701
Missing (%)48.5%
Memory size11.4 KiB
2023-12-12T21:58:42.772394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length46
Mean length30.390604
Min length21

Characters and Unicode

Total characters22641
Distinct characters108
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

Unique150 ?
Unique (%)20.1%

Sample

1st row서울특별시 송파구 올림픽로32길 32 (방이동)
2nd row서울특별시 송파구 올림픽로32길 32 (방이동)
3rd row서울특별시 송파구 올림픽로32길 32 (방이동)
4th row서울특별시 송파구 올림픽로32길 32 (방이동)
5th row서울특별시 송파구 오금로36길 17, 지하1층 (가락동)
ValueCountFrequency (%)
서울특별시 745
17.5%
송파구 745
17.5%
지하1층 395
 
9.3%
방이동 206
 
4.8%
가락동 162
 
3.8%
석촌동 84
 
2.0%
올림픽로32길 74
 
1.7%
송파동 65
 
1.5%
송파대로28길 58
 
1.4%
오금로11길 50
 
1.2%
Other values (303) 1675
39.3%
2023-12-12T21:58:43.377916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3520
 
15.5%
1 1080
 
4.8%
송 937
 
4.1%
파 926
 
4.1%
) 793
 
3.5%
( 793
 
3.5%
동 762
 
3.4%
로 745
 
3.3%
울 745
 
3.3%
서 745
 
3.3%
Other values (98) 11595
51.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13324
58.8%
Space Separator 3520
 
15.5%
Decimal Number 3465
 
15.3%
Close Punctuation 793
 
3.5%
Open Punctuation 793
 
3.5%
Other Punctuation 589
 
2.6%
Dash Punctuation 148
 
0.7%
Uppercase Letter 9
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
송 937
 
7.0%
파 926
 
6.9%
동 762
 
5.7%
로 745
 
5.6%
울 745
 
5.6%
서 745
 
5.6%
시 745
 
5.6%
구 745
 
5.6%
별 745
 
5.6%
특 745
 
5.6%
Other values (78) 5484
41.2%
Decimal Number
ValueCountFrequency (%)
1 1080
31.2%
2 554
16.0%
3 450
13.0%
6 261
 
7.5%
4 237
 
6.8%
8 205
 
5.9%
5 176
 
5.1%
0 173
 
5.0%
9 172
 
5.0%
7 157
 
4.5%
Uppercase Letter
ValueCountFrequency (%)
B 2
22.2%
A 2
22.2%
I 2
22.2%
T 2
22.2%
C 1
11.1%
Space Separator
ValueCountFrequency (%)
3520
100.0%
Close Punctuation
ValueCountFrequency (%)
) 793
100.0%
Open Punctuation
ValueCountFrequency (%)
( 793
100.0%
Other Punctuation
ValueCountFrequency (%)
, 589
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 148
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 13324
58.8%
Common 9308
41.1%
Latin 9
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
송 937
 
7.0%
파 926
 
6.9%
동 762
 
5.7%
로 745
 
5.6%
울 745
 
5.6%
서 745
 
5.6%
시 745
 
5.6%
구 745
 
5.6%
별 745
 
5.6%
특 745
 
5.6%
Other values (78) 5484
41.2%
Common
ValueCountFrequency (%)
3520
37.8%
1 1080
 
11.6%
) 793
 
8.5%
( 793
 
8.5%
, 589
 
6.3%
2 554
 
6.0%
3 450
 
4.8%
6 261
 
2.8%
4 237
 
2.5%
8 205
 
2.2%
Other values (5) 826
 
8.9%
Latin
ValueCountFrequency (%)
B 2
22.2%
A 2
22.2%
I 2
22.2%
T 2
22.2%
C 1
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 13324
58.8%
ASCII 9317
41.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3520
37.8%
1 1080
 
11.6%
) 793
 
8.5%
( 793
 
8.5%
, 589
 
6.3%
2 554
 
5.9%
3 450
 
4.8%
6 261
 
2.8%
4 237
 
2.5%
8 205
 
2.2%
Other values (10) 835
 
9.0%
Hangul
ValueCountFrequency (%)
송 937
 
7.0%
파 926
 
6.9%
동 762
 
5.7%
로 745
 
5.6%
울 745
 
5.6%
서 745
 
5.6%
시 745
 
5.6%
구 745
 
5.6%
별 745
 
5.6%
특 745
 
5.6%
Other values (78) 5484
41.2%

소재지(지번)
Text

Distinct756
Distinct (%)52.3%
Missing1
Missing (%)0.1%
Memory size11.4 KiB
2023-12-12T21:58:43.745662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length43
Mean length23.995848
Min length18

Characters and Unicode

Total characters34674
Distinct characters100
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

Unique464 ?
Unique (%)32.1%

Sample

1st row서울특별시 송파구 삼전동 131-5번지
2nd row서울특별시 송파구 마천동 307-41번지
3rd row서울특별시 송파구 가락동 75-12번지
4th row서울특별시 송파구 방이동 44-5번지
5th row서울특별시 송파구 잠실동 250-9번지
ValueCountFrequency (%)
서울특별시 1445
22.3%
송파구 1445
22.3%
지하1층 441
 
6.8%
방이동 427
 
6.6%
가락동 295
 
4.5%
석촌동 210
 
3.2%
잠실동 168
 
2.6%
송파동 115
 
1.8%
삼전동 66
 
1.0%
오금동 45
 
0.7%
Other values (638) 1829
28.2%
2023-12-12T21:58:44.633423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6470
18.7%
지 2013
 
5.8%
1 1639
 
4.7%
송 1560
 
4.5%
파 1560
 
4.5%
동 1453
 
4.2%
시 1446
 
4.2%
서 1445
 
4.2%
특 1445
 
4.2%
별 1445
 
4.2%
Other values (90) 14198
40.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 20711
59.7%
Space Separator 6470
 
18.7%
Decimal Number 5846
 
16.9%
Dash Punctuation 1409
 
4.1%
Close Punctuation 91
 
0.3%
Open Punctuation 91
 
0.3%
Other Punctuation 41
 
0.1%
Uppercase Letter 15
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 2013
 
9.7%
송 1560
 
7.5%
파 1560
 
7.5%
동 1453
 
7.0%
시 1446
 
7.0%
서 1445
 
7.0%
특 1445
 
7.0%
별 1445
 
7.0%
구 1445
 
7.0%
울 1445
 
7.0%
Other values (66) 5454
26.3%
Decimal Number
ValueCountFrequency (%)
1 1639
28.0%
2 694
11.9%
3 558
 
9.5%
7 498
 
8.5%
8 465
 
8.0%
4 441
 
7.5%
9 441
 
7.5%
6 417
 
7.1%
0 373
 
6.4%
5 320
 
5.5%
Uppercase Letter
ValueCountFrequency (%)
B 5
33.3%
A 2
 
13.3%
I 2
 
13.3%
T 2
 
13.3%
C 1
 
6.7%
P 1
 
6.7%
O 1
 
6.7%
D 1
 
6.7%
Other Punctuation
ValueCountFrequency (%)
, 40
97.6%
/ 1
 
2.4%
Space Separator
ValueCountFrequency (%)
6470
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1409
100.0%
Close Punctuation
ValueCountFrequency (%)
) 91
100.0%
Open Punctuation
ValueCountFrequency (%)
( 91
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 20711
59.7%
Common 13948
40.2%
Latin 15
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 2013
 
9.7%
송 1560
 
7.5%
파 1560
 
7.5%
동 1453
 
7.0%
시 1446
 
7.0%
서 1445
 
7.0%
특 1445
 
7.0%
별 1445
 
7.0%
구 1445
 
7.0%
울 1445
 
7.0%
Other values (66) 5454
26.3%
Common
ValueCountFrequency (%)
6470
46.4%
1 1639
 
11.8%
- 1409
 
10.1%
2 694
 
5.0%
3 558
 
4.0%
7 498
 
3.6%
8 465
 
3.3%
4 441
 
3.2%
9 441
 
3.2%
6 417
 
3.0%
Other values (6) 916
 
6.6%
Latin
ValueCountFrequency (%)
B 5
33.3%
A 2
 
13.3%
I 2
 
13.3%
T 2
 
13.3%
C 1
 
6.7%
P 1
 
6.7%
O 1
 
6.7%
D 1
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 20711
59.7%
ASCII 13963
40.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6470
46.3%
1 1639
 
11.7%
- 1409
 
10.1%
2 694
 
5.0%
3 558
 
4.0%
7 498
 
3.6%
8 465
 
3.3%
4 441
 
3.2%
9 441
 
3.2%
6 417
 
3.0%
Other values (14) 931
 
6.7%
Hangul
ValueCountFrequency (%)
지 2013
 
9.7%
송 1560
 
7.5%
파 1560
 
7.5%
동 1453
 
7.0%
시 1446
 
7.0%
서 1445
 
7.0%
특 1445
 
7.0%
별 1445
 
7.0%
구 1445
 
7.0%
울 1445
 
7.0%
Other values (66) 5454
26.3%

폐업일
Date

MISSING 

Distinct518
Distinct (%)61.7%
Missing607
Missing (%)42.0%
Memory size11.4 KiB
Minimum1899-12-30 00:00:00
Maximum2110-12-04 00:00:00
2023-12-12T21:58:44.803429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:58:44.962008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.4 KiB
Minimum2020-09-22 00:00:00
Maximum2020-09-22 00:00:00
2023-12-12T21:58:45.093752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:58:45.218277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T21:58:40.138386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T21:58:45.312816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
인허가번호업종명
인허가번호1.0000.337
업종명0.3371.000
2023-12-12T21:58:45.416614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
인허가번호업종명
인허가번호1.0000.356
업종명0.3561.000

Missing values

2023-12-12T21:58:40.293581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T21:58:40.420951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2023-12-12T21:58:40.548048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

인허가일자인허가번호업종명업소명소재지(도로명)소재지(지번)폐업일기준일자
01899-12-3018990114004단란주점세븐<NA>서울특별시 송파구 삼전동 131-5번지2005-09-202020-09-22
11913-12-1519130114001단란주점카리스<NA>서울특별시 송파구 마천동 307-41번지1996-12-102020-09-22
21956-03-1619560114001단란주점씨에프<NA>서울특별시 송파구 가락동 75-12번지1996-05-172020-09-22
31990-08-1919900114489단란주점(주)올림피아나관광호텔리갈<NA>서울특별시 송파구 방이동 44-5번지1997-01-182020-09-22
41991-05-2719910114349단란주점물망초<NA>서울특별시 송파구 잠실동 250-9번지2005-09-082020-09-22
51993-08-1619930115056단란주점하모니단란주점<NA>서울특별시 송파구 방이동 38-9번지2001-10-062020-09-22
61993-08-1919930115078단란주점하여가<NA>서울특별시 송파구 방이동 34-8번지2000-11-292020-09-22
71993-08-1919930115078단란주점워커힐<NA>서울특별시 송파구 방이동 34-8번지2000-11-292020-09-22
81993-08-1919930115078단란주점악어<NA>서울특별시 송파구 방이동 34-8번지2000-11-292020-09-22
91993-08-2419930115099단란주점모던<NA>서울특별시 송파구 방이동 36-3번지 (지하)2000-10-302020-09-22
인허가일자인허가번호업종명업소명소재지(도로명)소재지(지번)폐업일기준일자
14362016-06-2720160114960유흥주점명품노래바서울특별시 송파구 송파대로28길 13 (가락동, 지하1층 106-2호)서울특별시 송파구 가락동 98-7번지 지하1층 106-2호<NA>2020-09-22
14372016-08-0820160115224유흥주점호박노래장서울특별시 송파구 송파대로28길 32, 지하1층 9,10,11호 (가락동, 올림피아오피스텔)서울특별시 송파구 가락동 79-7번지<NA>2020-09-22
14382016-08-2620160115356유흥주점벤츠노래서울특별시 송파구 송파대로28길 13 (가락동)서울특별시 송파구 가락동 98-7번지 지하1층 108호<NA>2020-09-22
14392016-08-2920160115363유흥주점방콕서울특별시 송파구 송파대로28길 20, 지하1층 114-1,2호 (가락동)서울특별시 송파구 가락동 79-4번지<NA>2020-09-22
14402016-09-2820160115540유흥주점꿀단지서울특별시 송파구 송파대로28길 12, 지하1층 11호(일부),12호 (가락동)서울특별시 송파구 가락동 99-1번지<NA>2020-09-22
14412017-04-0520170114683유흥주점뉴욕서울특별시 송파구 송파대로28길 20, 지하1층 107,108,109,110호 (가락동)서울특별시 송파구 가락동 79-4번지<NA>2020-09-22
14422017-04-2820170114892유흥주점폭스서울특별시 송파구 송파대로28길 20, 지하1층 106호 (가락동)서울특별시 송파구 가락동 79-4번지<NA>2020-09-22
14432017-05-3120170115212유흥주점골드2서울특별시 송파구 송파대로28길 13, 지하1층 103호 (가락동, 거북이빌딩)서울특별시 송파구 가락동 98-7번지<NA>2020-09-22
14442017-05-3120170115213유흥주점골드1서울특별시 송파구 송파대로28길 13, 지하1층 101호 (가락동, 거북이빌딩)서울특별시 송파구 가락동 98-7번지<NA>2020-09-22
14452018-06-2920180115424유흥주점뉴홍콩서울특별시 송파구 송파대로28길 20, 세화빌딩 지하1층 102,103호 (가락동)서울특별시 송파구 가락동 79-4번지 세화빌딩<NA>2020-09-22

Duplicate rows

Most frequently occurring

인허가일자인허가번호업종명업소명소재지(도로명)소재지(지번)폐업일기준일자# duplicates
61995-07-1219950114747단란주점꽃순이<NA>서울특별시 송파구 가락동 73-0번지2012-05-152020-09-223
01993-10-1919930115505단란주점바바리아서울특별시 송파구 송이로17길 61 (가락동)서울특별시 송파구 가락동 18-7번지<NA>2020-09-222
11994-04-2919940114953단란주점왕눈이서울특별시 송파구 오금로11길 32 (방이동)서울특별시 송파구 방이동 58-6번지<NA>2020-09-222
21994-07-0719940115359단란주점둥근달서울특별시 송파구 올림픽로32길 22-16 (방이동)서울특별시 송파구 방이동 63-3번지2018-01-032020-09-222
31995-01-1319950114038단란주점동네사랑방서울특별시 송파구 백제고분로31길 5, 지하1층 (삼전동)서울특별시 송파구 삼전동 119-22번지 지하1층<NA>2020-09-222
41995-01-1319950114038단란주점아리수서울특별시 송파구 백제고분로31길 5, 지하1층 (삼전동)서울특별시 송파구 삼전동 119-22번지 지하1층<NA>2020-09-222
51995-03-0819950114184단란주점빙고서울특별시 송파구 송파대로 468, 지하1층 (송파동)서울특별시 송파구 송파동 15번지 지하1층<NA>2020-09-222
71995-09-0519950114937단란주점뭉크서울특별시 송파구 오금로15길 2, 지하1층 (방이동)서울특별시 송파구 방이동 109-0번지 지하1층<NA>2020-09-222
81995-09-0519950114937단란주점뭉크노래주점서울특별시 송파구 오금로15길 2, 지하1층 (방이동)서울특별시 송파구 방이동 109-0번지 지하1층<NA>2020-09-222
91996-03-0819960114206단란주점모노<NA>서울특별시 송파구 방이동 185-8번지2008-10-232020-09-222