Overview

Dataset statistics

Number of variables39
Number of observations10000
Missing cells87941
Missing cells (%)22.5%
Duplicate rows1
Duplicate rows (%)< 0.1%
Total size in memory3.3 MiB
Average record size in memory341.0 B

Variable types

Categorical16
Text6
DateTime2
Unsupported6
Numeric8
Boolean1

Dataset

Description유흥주점 영업 현황_인허가
Author행정안전부
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=ETEHE4UEM0TW0EDR15JC14213306&infSeq=1

Alerts

Dataset has 1 (< 0.1%) duplicate rowsDuplicates
등급구분명 is highly imbalanced (86.1%)Imbalance
급수시설구분명 is highly imbalanced (59.0%)Imbalance
전통업소주된음식 is highly imbalanced (99.6%)Imbalance
인허가취소일자 has 10000 (100.0%) missing valuesMissing
폐업일자 has 5239 (52.4%) missing valuesMissing
휴업시작일자 has 10000 (100.0%) missing valuesMissing
휴업종료일자 has 10000 (100.0%) missing valuesMissing
재개업일자 has 10000 (100.0%) missing valuesMissing
소재지시설전화번호 has 2698 (27.0%) missing valuesMissing
소재지면적정보 has 690 (6.9%) missing valuesMissing
소재지도로명주소 has 490 (4.9%) missing valuesMissing
위도 has 183 (1.8%) missing valuesMissing
경도 has 183 (1.8%) missing valuesMissing
X좌표값 has 287 (2.9%) missing valuesMissing
Y좌표값 has 287 (2.9%) missing valuesMissing
남성종사자수 has 3907 (39.1%) missing valuesMissing
여성종사자수 has 3903 (39.0%) missing valuesMissing
건물소유구분명 has 10000 (100.0%) missing valuesMissing
전통업소지정번호 has 9996 (> 99.9%) missing valuesMissing
홈페이지URL has 10000 (100.0%) missing valuesMissing
남성종사자수 is highly skewed (γ1 = 78.05545928)Skewed
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
홈페이지URL is an unsupported type, check if it needs cleaning or further analysisUnsupported
남성종사자수 has 5871 (58.7%) zerosZeros
여성종사자수 has 5745 (57.5%) zerosZeros
시설총규모정보 has 366 (3.7%) zerosZeros

Reproduction

Analysis started2023-12-10 22:22:26.419002
Analysis finished2023-12-10 22:22:28.372428
Duration1.95 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

Distinct31
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
평택시
1071 
부천시
972 
수원시
949 
안산시
784 
안양시
701 
Other values (26)
5523 

Length

Max length4
Median length3
Mean length3.0886
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row평택시
2nd row시흥시
3rd row안산시
4th row화성시
5th row평택시

Common Values

ValueCountFrequency (%)
평택시 1071
 
10.7%
부천시 972
 
9.7%
수원시 949
 
9.5%
안산시 784
 
7.8%
안양시 701
 
7.0%
성남시 629
 
6.3%
시흥시 456
 
4.6%
화성시 427
 
4.3%
의정부시 423
 
4.2%
용인시 329
 
3.3%
Other values (21) 3259
32.6%

Length

2023-12-11T07:22:28.431847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
평택시 1071
 
10.7%
부천시 972
 
9.7%
수원시 949
 
9.5%
안산시 784
 
7.8%
안양시 701
 
7.0%
성남시 629
 
6.3%
시흥시 456
 
4.6%
화성시 427
 
4.3%
의정부시 423
 
4.2%
용인시 329
 
3.3%
Other values (21) 3259
32.6%

사업장명
Text

Distinct7396
Distinct (%)74.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-11T07:22:28.835224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length23
Mean length4.9049
Min length1

Characters and Unicode

Total characters49049
Distinct characters917
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6247 ?
Unique (%)62.5%

Sample

1st row크래쉬
2nd row대아룸크럽
3rd row또와가요주점
4th row바다미인크럽
5th row천일야화
ValueCountFrequency (%)
노래빠 44
 
0.4%
노래장 42
 
0.4%
노래광장 37
 
0.3%
황진이 33
 
0.3%
유흥주점 28
 
0.3%
준코뮤직타운 26
 
0.2%
에이스 25
 
0.2%
가요장 23
 
0.2%
노래타운 22
 
0.2%
보물섬 22
 
0.2%
Other values (7259) 10408
97.2%
2023-12-11T07:22:29.441964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
래 3335
 
6.8%
노 3318
 
6.8%
주 1285
 
2.6%
장 1260
 
2.6%
점 1257
 
2.6%
스 1245
 
2.5%
이 1146
 
2.3%
광 937
 
1.9%
가 818
 
1.7%
빠 775
 
1.6%
Other values (907) 33673
68.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 45356
92.5%
Decimal Number 1039
 
2.1%
Uppercase Letter 967
 
2.0%
Space Separator 719
 
1.5%
Lowercase Letter 294
 
0.6%
Open Punctuation 289
 
0.6%
Close Punctuation 289
 
0.6%
Other Punctuation 71
 
0.1%
Letter Number 18
 
< 0.1%
Math Symbol 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
래 3335
 
7.4%
노 3318
 
7.3%
주 1285
 
2.8%
장 1260
 
2.8%
점 1257
 
2.8%
스 1245
 
2.7%
이 1146
 
2.5%
광 937
 
2.1%
가 818
 
1.8%
빠 775
 
1.7%
Other values (828) 29980
66.1%
Uppercase Letter
ValueCountFrequency (%)
O 82
 
8.5%
S 79
 
8.2%
A 72
 
7.4%
M 67
 
6.9%
B 59
 
6.1%
K 54
 
5.6%
E 49
 
5.1%
I 49
 
5.1%
P 47
 
4.9%
C 47
 
4.9%
Other values (16) 362
37.4%
Lowercase Letter
ValueCountFrequency (%)
e 34
11.6%
o 33
11.2%
a 31
10.5%
r 25
 
8.5%
l 22
 
7.5%
i 19
 
6.5%
s 17
 
5.8%
u 15
 
5.1%
g 13
 
4.4%
y 11
 
3.7%
Other values (14) 74
25.2%
Decimal Number
ValueCountFrequency (%)
0 322
31.0%
7 161
15.5%
8 146
14.1%
2 140
13.5%
1 114
 
11.0%
9 50
 
4.8%
3 41
 
3.9%
5 30
 
2.9%
6 19
 
1.8%
4 16
 
1.5%
Other Punctuation
ValueCountFrequency (%)
. 52
73.2%
& 6
 
8.5%
! 3
 
4.2%
, 3
 
4.2%
% 2
 
2.8%
# 2
 
2.8%
/ 1
 
1.4%
@ 1
 
1.4%
' 1
 
1.4%
Open Punctuation
ValueCountFrequency (%)
( 287
99.3%
[ 2
 
0.7%
Close Punctuation
ValueCountFrequency (%)
) 287
99.3%
] 2
 
0.7%
Letter Number
ValueCountFrequency (%)
Ⅱ 15
83.3%
Ⅰ 3
 
16.7%
Math Symbol
ValueCountFrequency (%)
+ 5
83.3%
∥ 1
 
16.7%
Space Separator
ValueCountFrequency (%)
719
100.0%
Other Symbol
ValueCountFrequency (%)
℃ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 45351
92.5%
Common 2414
 
4.9%
Latin 1279
 
2.6%
Han 5
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
래 3335
 
7.4%
노 3318
 
7.3%
주 1285
 
2.8%
장 1260
 
2.8%
점 1257
 
2.8%
스 1245
 
2.7%
이 1146
 
2.5%
광 937
 
2.1%
가 818
 
1.8%
빠 775
 
1.7%
Other values (823) 29975
66.1%
Latin
ValueCountFrequency (%)
O 82
 
6.4%
S 79
 
6.2%
A 72
 
5.6%
M 67
 
5.2%
B 59
 
4.6%
K 54
 
4.2%
E 49
 
3.8%
I 49
 
3.8%
P 47
 
3.7%
C 47
 
3.7%
Other values (42) 674
52.7%
Common
ValueCountFrequency (%)
719
29.8%
0 322
13.3%
( 287
 
11.9%
) 287
 
11.9%
7 161
 
6.7%
8 146
 
6.0%
2 140
 
5.8%
1 114
 
4.7%
. 52
 
2.2%
9 50
 
2.1%
Other values (17) 136
 
5.6%
Han
ValueCountFrequency (%)
大 1
20.0%
家 1
20.0%
酌 1
20.0%
休 1
20.0%
宮 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 45351
92.5%
ASCII 3673
 
7.5%
Number Forms 18
 
< 0.1%
CJK 5
 
< 0.1%
Letterlike Symbols 1
 
< 0.1%
Math Operators 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
래 3335
 
7.4%
노 3318
 
7.3%
주 1285
 
2.8%
장 1260
 
2.8%
점 1257
 
2.8%
스 1245
 
2.7%
이 1146
 
2.5%
광 937
 
2.1%
가 818
 
1.8%
빠 775
 
1.7%
Other values (823) 29975
66.1%
ASCII
ValueCountFrequency (%)
719
19.6%
0 322
 
8.8%
( 287
 
7.8%
) 287
 
7.8%
7 161
 
4.4%
8 146
 
4.0%
2 140
 
3.8%
1 114
 
3.1%
O 82
 
2.2%
S 79
 
2.2%
Other values (65) 1336
36.4%
Number Forms
ValueCountFrequency (%)
Ⅱ 15
83.3%
Ⅰ 3
 
16.7%
CJK
ValueCountFrequency (%)
大 1
20.0%
家 1
20.0%
酌 1
20.0%
休 1
20.0%
宮 1
20.0%
Letterlike Symbols
ValueCountFrequency (%)
℃ 1
100.0%
Math Operators
ValueCountFrequency (%)
∥ 1
100.0%

인허가일자
Date

Distinct5676
Distinct (%)56.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum1961-09-28 00:00:00
Maximum2023-11-30 00:00:00
2023-12-11T07:22:29.576430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:22:29.890845image/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

영업상태명
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
영업/정상
5239 
폐업
4761 

Length

Max length5
Median length5
Mean length3.5717
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 5239
52.4%
폐업 4761
47.6%

Length

2023-12-11T07:22:30.008608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:22:30.088424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 5239
52.4%
폐업 4761
47.6%

상세영업상태명
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
영업
5239 
폐업
4761 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업 5239
52.4%
폐업 4761
47.6%

Length

2023-12-11T07:22:30.170185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:22:30.273058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업 5239
52.4%
폐업 4761
47.6%

폐업일자
Date

MISSING 

Distinct3091
Distinct (%)64.9%
Missing5239
Missing (%)52.4%
Memory size156.2 KiB
Minimum1987-06-30 00:00:00
Maximum2023-12-04 00:00:00
2023-12-11T07:22:30.371319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:22:30.491718image/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

소재지시설전화번호
Text

MISSING 

Distinct7041
Distinct (%)96.4%
Missing2698
Missing (%)27.0%
Memory size156.2 KiB
2023-12-11T07:22:30.785265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length10.644207
Min length1

Characters and Unicode

Total characters77724
Distinct characters14
Distinct categories5 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6836 ?
Unique (%)93.6%

Sample

1st row402-1184
2nd row031 3550591
3rd row003109450115
4th row031 274 0424
5th row031 7461742
ValueCountFrequency (%)
031 5164
34.0%
032 387
 
2.5%
02 111
 
0.7%
0351 93
 
0.6%
321 30
 
0.2%
070 29
 
0.2%
328 25
 
0.2%
611 23
 
0.2%
666 21
 
0.1%
613 20
 
0.1%
Other values (7257) 9275
61.1%
2023-12-11T07:22:31.215075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 11794
15.2%
0 10496
13.5%
1 10062
12.9%
8037
10.3%
2 6227
8.0%
6 5902
7.6%
5 5679
7.3%
4 5565
7.2%
8 5165
6.6%
7 4934
6.3%
Other values (4) 3863
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 69548
89.5%
Space Separator 8037
 
10.3%
Dash Punctuation 137
 
0.2%
Other Punctuation 1
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 11794
17.0%
0 10496
15.1%
1 10062
14.5%
2 6227
9.0%
6 5902
8.5%
5 5679
8.2%
4 5565
8.0%
8 5165
7.4%
7 4934
7.1%
9 3724
 
5.4%
Space Separator
ValueCountFrequency (%)
8037
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 137
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 77724
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 11794
15.2%
0 10496
13.5%
1 10062
12.9%
8037
10.3%
2 6227
8.0%
6 5902
7.6%
5 5679
7.3%
4 5565
7.2%
8 5165
6.6%
7 4934
6.3%
Other values (4) 3863
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 77724
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 11794
15.2%
0 10496
13.5%
1 10062
12.9%
8037
10.3%
2 6227
8.0%
6 5902
7.6%
5 5679
7.3%
4 5565
7.2%
8 5165
6.6%
7 4934
6.3%
Other values (4) 3863
 
5.0%

소재지면적정보
Text

MISSING 

Distinct6805
Distinct (%)73.1%
Missing690
Missing (%)6.9%
Memory size156.2 KiB
2023-12-11T07:22:31.528348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length6
Mean length5.541783
Min length3

Characters and Unicode

Total characters51594
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

Unique5208 ?
Unique (%)55.9%

Sample

1st row94.60
2nd row190.15
3rd row89.23
4th row139.74
5th row115.00
ValueCountFrequency (%)
00 28
 
0.3%
99.00 18
 
0.2%
99.12 17
 
0.2%
97.50 12
 
0.1%
96.00 11
 
0.1%
84.00 10
 
0.1%
93.60 10
 
0.1%
112.20 10
 
0.1%
115.00 10
 
0.1%
77.00 10
 
0.1%
Other values (6795) 9174
98.5%
2023-12-11T07:22:31.960530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 9310
18.0%
1 6598
12.8%
0 5427
10.5%
2 4499
8.7%
9 4085
7.9%
8 3846
7.5%
4 3671
 
7.1%
7 3577
 
6.9%
6 3569
 
6.9%
5 3477
 
6.7%
Other values (2) 3535
 
6.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 42211
81.8%
Other Punctuation 9383
 
18.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 6598
15.6%
0 5427
12.9%
2 4499
10.7%
9 4085
9.7%
8 3846
9.1%
4 3671
8.7%
7 3577
8.5%
6 3569
8.5%
5 3477
8.2%
3 3462
8.2%
Other Punctuation
ValueCountFrequency (%)
. 9310
99.2%
, 73
 
0.8%

Most occurring scripts

ValueCountFrequency (%)
Common 51594
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 9310
18.0%
1 6598
12.8%
0 5427
10.5%
2 4499
8.7%
9 4085
7.9%
8 3846
7.5%
4 3671
 
7.1%
7 3577
 
6.9%
6 3569
 
6.9%
5 3477
 
6.7%
Other values (2) 3535
 
6.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 51594
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 9310
18.0%
1 6598
12.8%
0 5427
10.5%
2 4499
8.7%
9 4085
7.9%
8 3846
7.5%
4 3671
 
7.1%
7 3577
 
6.9%
6 3569
 
6.9%
5 3477
 
6.7%
Other values (2) 3535
 
6.9%

소재지도로명주소
Text

MISSING 

Distinct8717
Distinct (%)91.7%
Missing490
Missing (%)4.9%
Memory size156.2 KiB
2023-12-11T07:22:32.252044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length78
Median length56
Mean length30.211777
Min length14

Characters and Unicode

Total characters287314
Distinct characters480
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8110 ?
Unique (%)85.3%

Sample

1st row경기도 평택시 팽성읍 안정순환로120번길 40
2nd row경기도 시흥시 비둘기공원5길 24 501호 (대야동)
3rd row경기도 화성시 송산면 사강시장길43번길 9-7
4th row경기도 평택시 평택로88번길 37 (평택동)
5th row경기도 부천시 부일로199번길 26 ,409 (상동)
ValueCountFrequency (%)
경기도 9510
 
16.0%
평택시 1002
 
1.7%
부천시 920
 
1.5%
수원시 917
 
1.5%
지하1층 898
 
1.5%
안산시 774
 
1.3%
안양시 686
 
1.2%
성남시 617
 
1.0%
2층 616
 
1.0%
팔달구 606
 
1.0%
Other values (5663) 42972
72.2%
2023-12-11T07:22:32.710049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
50193
 
17.5%
1 11522
 
4.0%
시 9969
 
3.5%
경 9897
 
3.4%
기 9699
 
3.4%
도 9624
 
3.3%
동 9156
 
3.2%
로 8619
 
3.0%
) 8606
 
3.0%
( 8605
 
3.0%
Other values (470) 151424
52.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 160773
56.0%
Space Separator 50193
 
17.5%
Decimal Number 49575
 
17.3%
Close Punctuation 8606
 
3.0%
Open Punctuation 8605
 
3.0%
Other Punctuation 6536
 
2.3%
Dash Punctuation 2509
 
0.9%
Uppercase Letter 432
 
0.2%
Math Symbol 56
 
< 0.1%
Lowercase Letter 19
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 9969
 
6.2%
경 9897
 
6.2%
기 9699
 
6.0%
도 9624
 
6.0%
동 9156
 
5.7%
로 8619
 
5.4%
길 5327
 
3.3%
층 4450
 
2.8%
번 4211
 
2.6%
구 4115
 
2.6%
Other values (418) 85706
53.3%
Uppercase Letter
ValueCountFrequency (%)
B 302
69.9%
A 39
 
9.0%
G 18
 
4.2%
M 11
 
2.5%
C 9
 
2.1%
H 6
 
1.4%
O 6
 
1.4%
I 6
 
1.4%
K 5
 
1.2%
S 5
 
1.2%
Other values (9) 25
 
5.8%
Decimal Number
ValueCountFrequency (%)
1 11522
23.2%
2 7968
16.1%
3 5751
11.6%
0 4905
9.9%
4 3991
 
8.1%
5 3967
 
8.0%
6 3292
 
6.6%
7 2972
 
6.0%
9 2818
 
5.7%
8 2389
 
4.8%
Lowercase Letter
ValueCountFrequency (%)
l 9
47.4%
a 4
21.1%
e 2
 
10.5%
i 1
 
5.3%
t 1
 
5.3%
o 1
 
5.3%
n 1
 
5.3%
Letter Number
ValueCountFrequency (%)
Ⅱ 5
50.0%
Ⅳ 2
 
20.0%
Ⅴ 1
 
10.0%
ⅵ 1
 
10.0%
ⅳ 1
 
10.0%
Other Punctuation
ValueCountFrequency (%)
, 6428
98.3%
. 106
 
1.6%
' 1
 
< 0.1%
/ 1
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
~ 52
92.9%
∼ 3
 
5.4%
> 1
 
1.8%
Space Separator
ValueCountFrequency (%)
50193
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8606
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8605
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2509
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 160773
56.0%
Common 126080
43.9%
Latin 461
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 9969
 
6.2%
경 9897
 
6.2%
기 9699
 
6.0%
도 9624
 
6.0%
동 9156
 
5.7%
로 8619
 
5.4%
길 5327
 
3.3%
층 4450
 
2.8%
번 4211
 
2.6%
구 4115
 
2.6%
Other values (418) 85706
53.3%
Latin
ValueCountFrequency (%)
B 302
65.5%
A 39
 
8.5%
G 18
 
3.9%
M 11
 
2.4%
C 9
 
2.0%
l 9
 
2.0%
H 6
 
1.3%
O 6
 
1.3%
I 6
 
1.3%
K 5
 
1.1%
Other values (21) 50
 
10.8%
Common
ValueCountFrequency (%)
50193
39.8%
1 11522
 
9.1%
) 8606
 
6.8%
( 8605
 
6.8%
2 7968
 
6.3%
, 6428
 
5.1%
3 5751
 
4.6%
0 4905
 
3.9%
4 3991
 
3.2%
5 3967
 
3.1%
Other values (11) 14144
 
11.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 160773
56.0%
ASCII 126528
44.0%
Number Forms 10
 
< 0.1%
Math Operators 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
50193
39.7%
1 11522
 
9.1%
) 8606
 
6.8%
( 8605
 
6.8%
2 7968
 
6.3%
, 6428
 
5.1%
3 5751
 
4.5%
0 4905
 
3.9%
4 3991
 
3.2%
5 3967
 
3.1%
Other values (36) 14592
 
11.5%
Hangul
ValueCountFrequency (%)
시 9969
 
6.2%
경 9897
 
6.2%
기 9699
 
6.0%
도 9624
 
6.0%
동 9156
 
5.7%
로 8619
 
5.4%
길 5327
 
3.3%
층 4450
 
2.8%
번 4211
 
2.6%
구 4115
 
2.6%
Other values (418) 85706
53.3%
Number Forms
ValueCountFrequency (%)
Ⅱ 5
50.0%
Ⅳ 2
 
20.0%
Ⅴ 1
 
10.0%
ⅵ 1
 
10.0%
ⅳ 1
 
10.0%
Math Operators
ValueCountFrequency (%)
∼ 3
100.0%

소재지지번주소
Text

Distinct8964
Distinct (%)89.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-11T07:22:32.997341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length65
Median length54
Mean length25.7724
Min length15

Characters and Unicode

Total characters257724
Distinct characters435
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8225 ?
Unique (%)82.2%

Sample

1st row경기도 평택시 팽성읍 안정리 111-17
2nd row경기도 시흥시 대야동 529-3번지 501호
3rd row경기도 안산시 단원구 와동 762번지 유통상가 4동 202호
4th row경기도 화성시 송산면 사강리 690-5
5th row경기도 평택시 평택동 68-7번지
ValueCountFrequency (%)
경기도 10000
 
18.6%
평택시 1071
 
2.0%
부천시 972
 
1.8%
수원시 949
 
1.8%
지하1층 900
 
1.7%
안산시 784
 
1.5%
안양시 701
 
1.3%
지층 683
 
1.3%
팔달구 632
 
1.2%
성남시 629
 
1.2%
Other values (8847) 36369
67.7%
2023-12-11T07:22:33.413658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
53078
20.6%
1 13142
 
5.1%
도 10184
 
4.0%
시 10167
 
3.9%
기 10147
 
3.9%
경 10043
 
3.9%
동 9436
 
3.7%
- 9028
 
3.5%
지 8200
 
3.2%
2 6965
 
2.7%
Other values (425) 117334
45.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 136972
53.1%
Decimal Number 55381
21.5%
Space Separator 53078
 
20.6%
Dash Punctuation 9028
 
3.5%
Other Punctuation 1207
 
0.5%
Open Punctuation 846
 
0.3%
Close Punctuation 841
 
0.3%
Uppercase Letter 297
 
0.1%
Math Symbol 55
 
< 0.1%
Lowercase Letter 15
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 10184
 
7.4%
시 10167
 
7.4%
기 10147
 
7.4%
경 10043
 
7.3%
동 9436
 
6.9%
지 8200
 
6.0%
번 5053
 
3.7%
구 3993
 
2.9%
층 3545
 
2.6%
안 3051
 
2.2%
Other values (370) 63153
46.1%
Uppercase Letter
ValueCountFrequency (%)
B 210
70.7%
A 29
 
9.8%
C 10
 
3.4%
M 7
 
2.4%
S 7
 
2.4%
H 6
 
2.0%
I 6
 
2.0%
O 4
 
1.3%
K 3
 
1.0%
D 2
 
0.7%
Other values (10) 13
 
4.4%
Decimal Number
ValueCountFrequency (%)
1 13142
23.7%
2 6965
12.6%
3 5828
10.5%
0 5518
10.0%
4 5270
9.5%
5 4568
 
8.2%
7 4045
 
7.3%
6 3724
 
6.7%
8 3461
 
6.2%
9 2860
 
5.2%
Lowercase Letter
ValueCountFrequency (%)
a 4
26.7%
l 3
20.0%
e 2
13.3%
i 1
 
6.7%
n 1
 
6.7%
o 1
 
6.7%
t 1
 
6.7%
b 1
 
6.7%
c 1
 
6.7%
Other Punctuation
ValueCountFrequency (%)
, 1115
92.4%
. 89
 
7.4%
/ 2
 
0.2%
' 1
 
0.1%
Math Symbol
ValueCountFrequency (%)
~ 51
92.7%
∼ 3
 
5.5%
> 1
 
1.8%
Letter Number
ValueCountFrequency (%)
Ⅱ 2
50.0%
Ⅴ 1
25.0%
Ⅳ 1
25.0%
Open Punctuation
ValueCountFrequency (%)
( 845
99.9%
[ 1
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 840
99.9%
] 1
 
0.1%
Space Separator
ValueCountFrequency (%)
53078
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9028
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 136972
53.1%
Common 120436
46.7%
Latin 316
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 10184
 
7.4%
시 10167
 
7.4%
기 10147
 
7.4%
경 10043
 
7.3%
동 9436
 
6.9%
지 8200
 
6.0%
번 5053
 
3.7%
구 3993
 
2.9%
층 3545
 
2.6%
안 3051
 
2.2%
Other values (370) 63153
46.1%
Latin
ValueCountFrequency (%)
B 210
66.5%
A 29
 
9.2%
C 10
 
3.2%
M 7
 
2.2%
S 7
 
2.2%
H 6
 
1.9%
I 6
 
1.9%
O 4
 
1.3%
a 4
 
1.3%
K 3
 
0.9%
Other values (22) 30
 
9.5%
Common
ValueCountFrequency (%)
53078
44.1%
1 13142
 
10.9%
- 9028
 
7.5%
2 6965
 
5.8%
3 5828
 
4.8%
0 5518
 
4.6%
4 5270
 
4.4%
5 4568
 
3.8%
7 4045
 
3.4%
6 3724
 
3.1%
Other values (13) 9270
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 136972
53.1%
ASCII 120745
46.9%
Number Forms 4
 
< 0.1%
Math Operators 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
53078
44.0%
1 13142
 
10.9%
- 9028
 
7.5%
2 6965
 
5.8%
3 5828
 
4.8%
0 5518
 
4.6%
4 5270
 
4.4%
5 4568
 
3.8%
7 4045
 
3.4%
6 3724
 
3.1%
Other values (41) 9579
 
7.9%
Hangul
ValueCountFrequency (%)
도 10184
 
7.4%
시 10167
 
7.4%
기 10147
 
7.4%
경 10043
 
7.3%
동 9436
 
6.9%
지 8200
 
6.0%
번 5053
 
3.7%
구 3993
 
2.9%
층 3545
 
2.6%
안 3051
 
2.2%
Other values (370) 63153
46.1%
Math Operators
ValueCountFrequency (%)
∼ 3
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 2
50.0%
Ⅴ 1
25.0%
Ⅳ 1
25.0%

소재지우편번호
Real number (ℝ)

Distinct684
Distinct (%)6.9%
Missing78
Missing (%)0.8%
Infinite0
Infinite (%)0.0%
Mean14695.69
Minimum10018
Maximum18623
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T07:22:33.564157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10018
5-th percentile10929
Q112627
median14643
Q316571
95-th percentile18141
Maximum18623
Range8605
Interquartile range (IQR)3944

Descriptive statistics

Standard deviation2402.1606
Coefficient of variation (CV)0.16346021
Kurtosis-1.0837276
Mean14695.69
Median Absolute Deviation (MAD)1981
Skewness-0.14176586
Sum1.4581064 × 108
Variance5770375.4
MonotonicityNot monotonic
2023-12-11T07:22:33.683276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15361 270
 
2.7%
16489 200
 
2.0%
17774 159
 
1.6%
16490 150
 
1.5%
13246 138
 
1.4%
17758 121
 
1.2%
14548 110
 
1.1%
13992 106
 
1.1%
11928 105
 
1.1%
10071 102
 
1.0%
Other values (674) 8461
84.6%
ValueCountFrequency (%)
10018 25
 
0.2%
10019 14
 
0.1%
10024 2
 
< 0.1%
10025 4
 
< 0.1%
10059 3
 
< 0.1%
10071 102
1.0%
10073 2
 
< 0.1%
10098 17
 
0.2%
10102 1
 
< 0.1%
10106 1
 
< 0.1%
ValueCountFrequency (%)
18623 9
 
0.1%
18611 13
 
0.1%
18606 47
0.5%
18595 4
 
< 0.1%
18594 1
 
< 0.1%
18593 63
0.6%
18591 1
 
< 0.1%
18584 1
 
< 0.1%
18572 1
 
< 0.1%
18567 15
 
0.1%

위도
Real number (ℝ)

MISSING 

Distinct6830
Distinct (%)69.6%
Missing183
Missing (%)1.8%
Infinite0
Infinite (%)0.0%
Mean37.410895
Minimum36.916247
Maximum38.186238
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T07:22:33.803454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.916247
5-th percentile36.994913
Q137.265017
median37.387138
Q337.504811
95-th percentile37.897686
Maximum38.186238
Range1.2699913
Interquartile range (IQR)0.23979389

Descriptive statistics

Standard deviation0.2508415
Coefficient of variation (CV)0.0067050388
Kurtosis-0.13441046
Mean37.410895
Median Absolute Deviation (MAD)0.12162409
Skewness0.45854691
Sum367262.76
Variance0.062921459
MonotonicityNot monotonic
2023-12-11T07:22:33.933742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.1159340729 18
 
0.2%
37.3182018 17
 
0.2%
37.5614176573 16
 
0.2%
37.7148553223 15
 
0.1%
37.0458281259 14
 
0.1%
37.2741372443 14
 
0.1%
37.0474611388 13
 
0.1%
37.3171436 13
 
0.1%
37.2011454311 13
 
0.1%
37.1313114987 12
 
0.1%
Other values (6820) 9672
96.7%
(Missing) 183
 
1.8%
ValueCountFrequency (%)
36.9162467 1
< 0.1%
36.9204693 1
< 0.1%
36.9205495128 1
< 0.1%
36.9212263 1
< 0.1%
36.9498605609 1
< 0.1%
36.9581387763 1
< 0.1%
36.958608021 1
< 0.1%
36.9591396 1
< 0.1%
36.9591698642 1
< 0.1%
36.9594181 2
< 0.1%
ValueCountFrequency (%)
38.186238 1
 
< 0.1%
38.1860755 1
 
< 0.1%
38.1854365 1
 
< 0.1%
38.1854088791 1
 
< 0.1%
38.1853729 1
 
< 0.1%
38.1852113 1
 
< 0.1%
38.1851306 1
 
< 0.1%
38.1851023 1
 
< 0.1%
38.185096312 1
 
< 0.1%
38.1849852 4
< 0.1%

경도
Real number (ℝ)

MISSING 

Distinct6834
Distinct (%)69.6%
Missing183
Missing (%)1.8%
Infinite0
Infinite (%)0.0%
Mean126.99936
Minimum126.55393
Maximum127.7096
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T07:22:34.061196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.55393
5-th percentile126.74839
Q1126.83902
median127.02973
Q3127.09282
95-th percentile127.34993
Maximum127.7096
Range1.1556658
Interquartile range (IQR)0.25379905

Descriptive statistics

Standard deviation0.18865009
Coefficient of variation (CV)0.0014854413
Kurtosis0.73578368
Mean126.99936
Median Absolute Deviation (MAD)0.11339344
Skewness0.63183702
Sum1246752.7
Variance0.035588857
MonotonicityNot monotonic
2023-12-11T07:22:34.207793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.9123224062 18
 
0.2%
126.8403493 17
 
0.2%
127.1912058889 16
 
0.2%
126.7614890719 15
 
0.1%
126.9514301863 14
 
0.1%
127.0450553425 14
 
0.1%
127.0725556271 13
 
0.1%
127.0454279562 13
 
0.1%
126.837441 13
 
0.1%
126.8409047 12
 
0.1%
Other values (6824) 9672
96.7%
(Missing) 183
 
1.8%
ValueCountFrequency (%)
126.5539305 1
< 0.1%
126.5541581093 1
< 0.1%
126.55991476 1
< 0.1%
126.5600623 1
< 0.1%
126.5603463 1
< 0.1%
126.5608313578 1
< 0.1%
126.5978810854 2
< 0.1%
126.5980412803 1
< 0.1%
126.5980903 1
< 0.1%
126.5980931 2
< 0.1%
ValueCountFrequency (%)
127.7095963271 1
< 0.1%
127.7089601 2
< 0.1%
127.7007599 1
< 0.1%
127.6804608 1
< 0.1%
127.6804142 1
< 0.1%
127.6802482 1
< 0.1%
127.6599382 2
< 0.1%
127.6543043 1
< 0.1%
127.6506032269 1
< 0.1%
127.6372797797 1
< 0.1%

업태구분명정보
Categorical

Distinct13
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
룸살롱
5785 
간이주점
1597 
기타
923 
카바레
749 
노래클럽
 
304
Other values (8)
642 

Length

Max length12
Median length3
Mean length3.3503
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row비어(바)살롱
2nd row룸살롱
3rd row간이주점
4th row룸살롱
5th row간이주점

Common Values

ValueCountFrequency (%)
룸살롱 5785
57.9%
간이주점 1597
 
16.0%
기타 923
 
9.2%
카바레 749
 
7.5%
노래클럽 304
 
3.0%
스텐드바 206
 
2.1%
고고(디스코)클럽 196
 
2.0%
비어(바)살롱 139
 
1.4%
관광호텔나이트(디스코) 51
 
0.5%
요정 29
 
0.3%
Other values (3) 21
 
0.2%

Length

2023-12-11T07:22:34.359440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
룸살롱 5785
57.9%
간이주점 1597
 
16.0%
기타 923
 
9.2%
카바레 749
 
7.5%
노래클럽 304
 
3.0%
스텐드바 206
 
2.1%
고고(디스코)클럽 196
 
2.0%
비어(바)살롱 139
 
1.4%
관광호텔나이트(디스코 51
 
0.5%
요정 29
 
0.3%
Other values (3) 21
 
0.2%

X좌표값
Real number (ℝ)

MISSING 

Distinct5927
Distinct (%)61.0%
Missing287
Missing (%)2.9%
Infinite0
Infinite (%)0.0%
Mean199843.62
Minimum160604.51
Maximum262631.81
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T07:22:34.470427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum160604.51
5-th percentile177627.03
Q1185656.84
median202560.16
Q3208110.12
95-th percentile230738.57
Maximum262631.81
Range102027.3
Interquartile range (IQR)22453.273

Descriptive statistics

Standard deviation16705.335
Coefficient of variation (CV)0.083592037
Kurtosis0.70785358
Mean199843.62
Median Absolute Deviation (MAD)10086.494
Skewness0.62617323
Sum1.9410811 × 109
Variance2.7906823 × 108
MonotonicityNot monotonic
2023-12-11T07:22:34.589202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
185782.773768294 24
 
0.2%
185523.919813512 21
 
0.2%
216819.675863247 18
 
0.2%
192136.215961832 17
 
0.2%
185829.396835568 16
 
0.2%
227019.344850157 16
 
0.2%
178916.502502141 15
 
0.1%
196515.454908895 15
 
0.1%
185951.938343727 14
 
0.1%
185656.844322398 14
 
0.1%
Other values (5917) 9543
95.4%
(Missing) 287
 
2.9%
ValueCountFrequency (%)
160604.506553616 1
 
< 0.1%
160617.867680121 1
 
< 0.1%
161130.867992052 1
 
< 0.1%
161139.222068208 1
 
< 0.1%
161162.024282384 1
 
< 0.1%
161213.902669484 1
 
< 0.1%
164471.803377785 2
 
< 0.1%
164483.666551769 1
 
< 0.1%
164485.625368065 5
0.1%
164485.875599606 1
 
< 0.1%
ValueCountFrequency (%)
262631.808037546 1
< 0.1%
262555.025770139 2
< 0.1%
261795.143593655 1
< 0.1%
260245.054232484 1
< 0.1%
260238.15181324 1
< 0.1%
260225.323035777 1
< 0.1%
258518.906491368 1
< 0.1%
257946.88180953 1
< 0.1%
257607.399615615 1
< 0.1%
256436.458635152 1
< 0.1%

Y좌표값
Real number (ℝ)

MISSING 

Distinct5930
Distinct (%)61.1%
Missing287
Missing (%)2.9%
Infinite0
Infinite (%)0.0%
Mean434402.5
Minimum379423.94
Maximum520383.08
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T07:22:34.701994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum379423.94
5-th percentile388157.6
Q1418125.88
median431683.51
Q3444806.21
95-th percentile488356.78
Maximum520383.08
Range140959.14
Interquartile range (IQR)26680.33

Descriptive statistics

Standard deviation27822.713
Coefficient of variation (CV)0.064048235
Kurtosis-0.13491308
Mean434402.5
Median Absolute Deviation (MAD)13505.932
Skewness0.45668007
Sum4.2193515 × 109
Variance7.7410338 × 108
MonotonicityNot monotonic
2023-12-11T07:22:34.819717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
424043.797616709 24
 
0.2%
423927.203918079 21
 
0.2%
451043.552753769 18
 
0.2%
401577.068900693 17
 
0.2%
423997.529783183 16
 
0.2%
461054.248039145 16
 
0.2%
468114.926544937 15
 
0.1%
432402.611743044 15
 
0.1%
423939.412851421 14
 
0.1%
423918.131295682 14
 
0.1%
Other values (5920) 9543
95.4%
(Missing) 287
 
2.9%
ValueCountFrequency (%)
379423.938368012 1
 
< 0.1%
379895.707134006 2
< 0.1%
379978.592571145 1
 
< 0.1%
383145.166316542 1
 
< 0.1%
384070.776644976 1
 
< 0.1%
384114.574958639 1
 
< 0.1%
384171.967779706 1
 
< 0.1%
384180.274196673 1
 
< 0.1%
384214.034353206 2
< 0.1%
384236.56713655 3
< 0.1%
ValueCountFrequency (%)
520383.07503545 1
 
< 0.1%
520362.660325694 1
 
< 0.1%
520292.540222711 1
 
< 0.1%
520287.469606348 1
 
< 0.1%
520278.039014596 1
 
< 0.1%
520267.866146597 1
 
< 0.1%
520258.575671935 1
 
< 0.1%
520256.146336136 1
 
< 0.1%
520242.607987533 5
0.1%
520230.586594812 1
 
< 0.1%

위생업태명
Categorical

Distinct13
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
룸살롱
5782 
간이주점
1579 
기타
936 
카바레
757 
노래클럽
 
303
Other values (8)
643 

Length

Max length12
Median length3
Mean length3.3477
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row비어(바)살롱
2nd row룸살롱
3rd row간이주점
4th row룸살롱
5th row간이주점

Common Values

ValueCountFrequency (%)
룸살롱 5782
57.8%
간이주점 1579
 
15.8%
기타 936
 
9.4%
카바레 757
 
7.6%
노래클럽 303
 
3.0%
스텐드바 206
 
2.1%
고고(디스코)클럽 197
 
2.0%
비어(바)살롱 139
 
1.4%
관광호텔나이트(디스코) 51
 
0.5%
요정 29
 
0.3%
Other values (3) 21
 
0.2%

Length

2023-12-11T07:22:35.004472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
룸살롱 5782
57.8%
간이주점 1579
 
15.8%
기타 936
 
9.4%
카바레 757
 
7.6%
노래클럽 303
 
3.0%
스텐드바 206
 
2.1%
고고(디스코)클럽 197
 
2.0%
비어(바)살롱 139
 
1.4%
관광호텔나이트(디스코 51
 
0.5%
요정 29
 
0.3%
Other values (3) 21
 
0.2%

남성종사자수
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct11
Distinct (%)0.2%
Missing3907
Missing (%)39.1%
Infinite0
Infinite (%)0.0%
Mean1.5714755
Minimum0
Maximum9210
Zeros5871
Zeros (%)58.7%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T07:22:35.212523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum9210
Range9210
Interquartile range (IQR)0

Descriptive statistics

Standard deviation117.99003
Coefficient of variation (CV)75.082326
Kurtosis6092.7695
Mean1.5714755
Median Absolute Deviation (MAD)0
Skewness78.055459
Sum9575
Variance13921.648
MonotonicityNot monotonic
2023-12-11T07:22:35.329283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 5871
58.7%
1 156
 
1.6%
2 46
 
0.5%
3 8
 
0.1%
4 4
 
< 0.1%
5 2
 
< 0.1%
10 2
 
< 0.1%
15 1
 
< 0.1%
25 1
 
< 0.1%
7 1
 
< 0.1%
(Missing) 3907
39.1%
ValueCountFrequency (%)
0 5871
58.7%
1 156
 
1.6%
2 46
 
0.5%
3 8
 
0.1%
4 4
 
< 0.1%
5 2
 
< 0.1%
7 1
 
< 0.1%
10 2
 
< 0.1%
15 1
 
< 0.1%
25 1
 
< 0.1%
ValueCountFrequency (%)
9210 1
 
< 0.1%
25 1
 
< 0.1%
15 1
 
< 0.1%
10 2
 
< 0.1%
7 1
 
< 0.1%
5 2
 
< 0.1%
4 4
 
< 0.1%
3 8
 
0.1%
2 46
 
0.5%
1 156
1.6%

여성종사자수
Real number (ℝ)

MISSING  ZEROS 

Distinct15
Distinct (%)0.2%
Missing3903
Missing (%)39.0%
Infinite0
Infinite (%)0.0%
Mean0.14613744
Minimum0
Maximum20
Zeros5745
Zeros (%)57.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T07:22:35.434402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum20
Range20
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.81757992
Coefficient of variation (CV)5.5945957
Kurtosis175.99909
Mean0.14613744
Median Absolute Deviation (MAD)0
Skewness10.727781
Sum891
Variance0.66843693
MonotonicityNot monotonic
2023-12-11T07:22:35.826689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 5745
57.5%
1 136
 
1.4%
2 96
 
1.0%
3 60
 
0.6%
5 22
 
0.2%
4 16
 
0.2%
8 7
 
0.1%
6 4
 
< 0.1%
7 3
 
< 0.1%
9 2
 
< 0.1%
Other values (5) 6
 
0.1%
(Missing) 3903
39.0%
ValueCountFrequency (%)
0 5745
57.5%
1 136
 
1.4%
2 96
 
1.0%
3 60
 
0.6%
4 16
 
0.2%
5 22
 
0.2%
6 4
 
< 0.1%
7 3
 
< 0.1%
8 7
 
0.1%
9 2
 
< 0.1%
ValueCountFrequency (%)
20 2
 
< 0.1%
15 1
 
< 0.1%
13 1
 
< 0.1%
12 1
 
< 0.1%
10 1
 
< 0.1%
9 2
 
< 0.1%
8 7
 
0.1%
7 3
 
< 0.1%
6 4
 
< 0.1%
5 22
0.2%

영업장주변구분명
Categorical

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
5921 
유흥업소밀집지역
2728 
기타
995 
학교정화(상대)
 
249
주택가주변
 
55
Other values (3)
 
52

Length

Max length8
Median length4
Mean length5.0081
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 5921
59.2%
유흥업소밀집지역 2728
27.3%
기타 995
 
10.0%
학교정화(상대) 249
 
2.5%
주택가주변 55
 
0.5%
아파트지역 31
 
0.3%
학교정화(절대) 14
 
0.1%
결혼예식장주변 7
 
0.1%

Length

2023-12-11T07:22:35.972284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:22:36.093438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5921
59.2%
유흥업소밀집지역 2728
27.3%
기타 995
 
10.0%
학교정화(상대 249
 
2.5%
주택가주변 55
 
0.5%
아파트지역 31
 
0.3%
학교정화(절대 14
 
0.1%
결혼예식장주변 7
 
0.1%

등급구분명
Categorical

IMBALANCE 

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9445 
자율
 
241
기타
 
150
지도
 
107
관리
 
38
Other values (3)
 
19

Length

Max length4
Median length4
Mean length3.8886
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 9445
94.5%
자율 241
 
2.4%
기타 150
 
1.5%
지도 107
 
1.1%
관리 38
 
0.4%
우수 15
 
0.1%
을 3
 
< 0.1%
갑 1
 
< 0.1%

Length

2023-12-11T07:22:36.248194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:22:36.475521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9445
94.5%
자율 241
 
2.4%
기타 150
 
1.5%
지도 107
 
1.1%
관리 38
 
0.4%
우수 15
 
0.1%
을 3
 
< 0.1%
갑 1
 
< 0.1%

급수시설구분명
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
상수도전용
4999 
<NA>
4933 
지하수전용
 
48
간이상수도
 
17
상수도(음용)지하수(주방용)겸용
 
2

Length

Max length19
Median length5
Mean length4.5105
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
상수도전용 4999
50.0%
<NA> 4933
49.3%
지하수전용 48
 
0.5%
간이상수도 17
 
0.2%
상수도(음용)지하수(주방용)겸용 2
 
< 0.1%
전용상수도(특정시설의 자가용 수도) 1
 
< 0.1%

Length

2023-12-11T07:22:36.729699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:22:36.976689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
상수도전용 4999
50.0%
na 4933
49.3%
지하수전용 48
 
0.5%
간이상수도 17
 
0.2%
상수도(음용)지하수(주방용)겸용 2
 
< 0.1%
전용상수도(특정시설의 1
 
< 0.1%
자가용 1
 
< 0.1%
수도 1
 
< 0.1%

총종업원수
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
8075 
0
1925 

Length

Max length4
Median length4
Mean length3.4225
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> 8075
80.8%
0 1925
 
19.2%

Length

2023-12-11T07:22:37.149185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:22:37.236841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 8075
80.8%
0 1925
 
19.2%

본사종업원수
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
7451 
0
2549 

Length

Max length4
Median length4
Mean length3.2353
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 7451
74.5%
0 2549
 
25.5%

Length

2023-12-11T07:22:37.334489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:22:37.427981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 7451
74.5%
0 2549
 
25.5%

공장사무소종업원수
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
7451 
0
2549 

Length

Max length4
Median length4
Mean length3.2353
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 7451
74.5%
0 2549
 
25.5%

Length

2023-12-11T07:22:37.537720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:22:37.639689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 7451
74.5%
0 2549
 
25.5%

공장판매직종업원수
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
7451 
0
2549 

Length

Max length4
Median length4
Mean length3.2353
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 7451
74.5%
0 2549
 
25.5%

Length

2023-12-11T07:22:37.750996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:22:37.867700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 7451
74.5%
0 2549
 
25.5%

공장생산직종업원수
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
7451 
0
2549 

Length

Max length4
Median length4
Mean length3.2353
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 7451
74.5%
0 2549
 
25.5%

Length

2023-12-11T07:22:37.966341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:22:38.060865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 7451
74.5%
0 2549
 
25.5%

건물소유구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

보증액
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
7451 
0
2549 

Length

Max length4
Median length4
Mean length3.2353
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 7451
74.5%
0 2549
 
25.5%

Length

2023-12-11T07:22:38.157778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:22:38.257050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 7451
74.5%
0 2549
 
25.5%

월세액
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
7451 
0
2549 

Length

Max length4
Median length4
Mean length3.2353
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 7451
74.5%
0 2549
 
25.5%

Length

2023-12-11T07:22:38.382969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:22:38.504180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 7451
74.5%
0 2549
 
25.5%

다중이용업소여부
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
True
5544 
False
4456 
ValueCountFrequency (%)
True 5544
55.4%
False 4456
44.6%
2023-12-11T07:22:38.596270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모정보
Real number (ℝ)

ZEROS 

Distinct7014
Distinct (%)70.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean151.21023
Minimum0
Maximum3608.47
Zeros366
Zeros (%)3.7%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T07:22:38.717250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile21.087
Q174.0825
median102.42
Q3153.85
95-th percentile414.202
Maximum3608.47
Range3608.47
Interquartile range (IQR)79.7675

Descriptive statistics

Standard deviation197.71509
Coefficient of variation (CV)1.307551
Kurtosis80.037109
Mean151.21023
Median Absolute Deviation (MAD)35.315
Skewness7.0583493
Sum1512102.3
Variance39091.257
MonotonicityNot monotonic
2023-12-11T07:22:38.882610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 366
 
3.7%
99.0 18
 
0.2%
99.12 17
 
0.2%
97.5 12
 
0.1%
112.2 11
 
0.1%
93.6 11
 
0.1%
77.0 11
 
0.1%
96.0 11
 
0.1%
99.9 10
 
0.1%
84.0 10
 
0.1%
Other values (7004) 9523
95.2%
ValueCountFrequency (%)
0.0 366
3.7%
4.29 1
 
< 0.1%
5.65 1
 
< 0.1%
9.76 1
 
< 0.1%
10.0 1
 
< 0.1%
10.75 2
 
< 0.1%
11.32 1
 
< 0.1%
11.4 2
 
< 0.1%
11.44 1
 
< 0.1%
11.45 1
 
< 0.1%
ValueCountFrequency (%)
3608.47 1
< 0.1%
3523.92 1
< 0.1%
3518.47 1
< 0.1%
3403.63 1
< 0.1%
3326.36 1
< 0.1%
3165.47 1
< 0.1%
2941.76 1
< 0.1%
2878.99 1
< 0.1%
2762.09 1
< 0.1%
2653.82 1
< 0.1%

전통업소지정번호
Text

MISSING 

Distinct3
Distinct (%)75.0%
Missing9996
Missing (%)> 99.9%
Memory size156.2 KiB
2023-12-11T07:22:39.020487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3.5
Mean length2.5
Min length1

Characters and Unicode

Total characters10
Distinct characters6
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

Unique2 ?
Unique (%)50.0%

Sample

1st row10.24
2nd row10
3rd row+
4th row10
ValueCountFrequency (%)
10 2
50.0%
10.24 1
25.0%
1
25.0%
2023-12-11T07:22:39.292219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 3
30.0%
0 3
30.0%
. 1
 
10.0%
2 1
 
10.0%
4 1
 
10.0%
+ 1
 
10.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8
80.0%
Other Punctuation 1
 
10.0%
Math Symbol 1
 
10.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 3
37.5%
0 3
37.5%
2 1
 
12.5%
4 1
 
12.5%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 10
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 3
30.0%
0 3
30.0%
. 1
 
10.0%
2 1
 
10.0%
4 1
 
10.0%
+ 1
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 3
30.0%
0 3
30.0%
. 1
 
10.0%
2 1
 
10.0%
4 1
 
10.0%
+ 1
 
10.0%

전통업소주된음식
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9997 
 
3

Length

Max length4
Median length4
Mean length3.9991
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> 9997
> 99.9%
3
 
< 0.1%

Length

2023-12-11T07:22:39.427017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:22:39.522530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9997
100.0%

홈페이지URL
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

Sample

시군명사업장명인허가일자인허가취소일자영업상태명상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지시설전화번호소재지면적정보소재지도로명주소소재지지번주소소재지우편번호위도경도업태구분명정보X좌표값Y좌표값위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총종업원수본사종업원수공장사무소종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모정보전통업소지정번호전통업소주된음식홈페이지URL
9241평택시크래쉬20081222<NA>영업/정상영업<NA><NA><NA><NA><NA>94.60경기도 평택시 팽성읍 안정순환로120번길 40경기도 평택시 팽성읍 안정리 111-171798236.960298127.04443비어(바)살롱203886.956719384303.362273비어(바)살롱<NA><NA>유흥업소밀집지역<NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>Y94.6<NA><NA><NA>
4391시흥시대아룸크럽20030208<NA>폐업폐업20110307<NA><NA><NA><NA>190.15경기도 시흥시 비둘기공원5길 24 501호 (대야동)경기도 시흥시 대야동 529-3번지 501호1491237.442019126.789604룸살롱181315.634709437793.80715룸살롱00<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N190.15<NA><NA><NA>
4951안산시또와가요주점19961009<NA>폐업폐업19990112<NA><NA><NA>402-118489.23<NA>경기도 안산시 단원구 와동 762번지 유통상가 4동 202호<NA>37.340967126.825303간이주점184440.540505426562.300647간이주점00기타<NA>상수도전용<NA>0000<NA>00N89.23<NA><NA><NA>
9897화성시바다미인크럽20030806<NA>폐업폐업20080911<NA><NA><NA>031 3550591139.74경기도 화성시 송산면 사강시장길43번길 9-7경기도 화성시 송산면 사강리 690-51855037.214083126.734627룸살롱176376.025321412498.839428룸살롱00<NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N139.74<NA><NA><NA>
9161평택시천일야화19730417<NA>폐업폐업20001218<NA><NA><NA><NA><NA>경기도 평택시 평택로88번길 37 (평택동)경기도 평택시 평택동 68-7번지1791136.994746127.086505간이주점207633.092469388135.030949간이주점<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
1832부천시니찌클럽19960605<NA>폐업폐업20001220<NA><NA><NA><NA><NA>경기도 부천시 부일로199번길 26 ,409 (상동)경기도 부천시 상동 409-1번지 ,4091459837.48968126.752167룸살롱178016.55496443092.108157룸살롱<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
8187파주시샬롯트20000926<NA>영업/정상영업<NA><NA><NA><NA>003109450115115.00경기도 파주시 중앙로 273 (금촌동,(지층))경기도 파주시 금촌동 767-7번지 (지층)1092937.760256126.776824간이주점180268.61996473117.080047간이주점<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>Y115.0<NA><NA><NA>
4117수원시청춘452003-08-30<NA>영업/정상영업<NA><NA><NA><NA><NA>355.26경기도 수원시 팔달구 경수대로466번길 44 (인계동, 지하1층)경기도 수원시 팔달구 인계동 1034-2 지하1층1648937.266848127.029507룸살롱202546.217408418326.742632룸살롱00<NA><NA><NA>00000<NA>00Y355.26<NA><NA><NA>
7330용인시원노래빠20050810<NA>영업/정상영업<NA><NA><NA><NA>031 274 042494.79경기도 용인시 기흥구 중부대로 343-1 (신갈동)경기도 용인시 기흥구 신갈동 59-41696737.271739127.105126룸살롱209250.870122418871.643834룸살롱<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>Y94.79<NA><NA><NA>
3310성남시해바라기20011119<NA>폐업폐업20200528<NA><NA><NA>031 746174272.31경기도 성남시 중원구 산성대로 272-12, 지,1층 (중앙동)경기도 성남시 중원구 중앙동 903번지 지,1층1324637.440135127.14764간이주점212995.901936437563.778039간이주점00유흥업소밀집지역<NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N72.31<NA><NA><NA>
시군명사업장명인허가일자인허가취소일자영업상태명상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지시설전화번호소재지면적정보소재지도로명주소소재지지번주소소재지우편번호위도경도업태구분명정보X좌표값Y좌표값위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총종업원수본사종업원수공장사무소종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모정보전통업소지정번호전통업소주된음식홈페이지URL
3174성남시짱2003-07-29<NA>영업/정상영업<NA><NA><NA><NA>031 722245483.62경기도 성남시 중원구 둔촌대로101번길 29 (성남동)경기도 성남시 중원구 성남동 34901336537.432356127.129897간이주점211425.017139436697.847943간이주점00유흥업소밀집지역<NA>상수도전용00000<NA>00Y83.62<NA><NA><NA>
9306평택시판치네가요주점19951016<NA>폐업폐업19971022<NA><NA><NA><NA><NA>경기도 평택시 평택1로20번길 42 (평택동)경기도 평택시 평택동 33-3번지1791036.994022127.089391카바레207890.743086388057.339993카바레<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
4851안산시나드리노래광장유흥주점20021004<NA>영업/정상영업<NA><NA><NA><NA>031 417068530.26경기도 안산시 상록구 상록수로 44, 상림빌딩1층 108호 (본오동)경기도 안산시 상록구 본오동 874-3 상림빌딩1층 108호1553237.302224126.864771간이주점187940.917107422257.96531간이주점00<NA><NA><NA>00000<NA>00Y30.26<NA><NA><NA>
9384평택시홈런20030929<NA>영업/정상영업<NA><NA><NA><NA>611289799.06경기도 평택시 특구로27번길 23, 지하층 (서정동)경기도 평택시 서정동 815-11777437.06795127.06201룸살롱205444.545396248.13룸살롱00아파트지역<NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>Y99.06<NA><NA><NA>
5182안산시시크릿노래광장20120518<NA>영업/정상영업<NA><NA><NA><NA><NA>89.25경기도 안산시 상록구 예술광장1로 16, 205호 (월피동, 칠성프라자)경기도 안산시 상록구 월피동 445-4 칠성프라자 205호1528837.329036126.844329룸살롱186132.948113425235.962746룸살롱00유흥업소밀집지역<NA>상수도전용00000<NA>00Y89.25<NA><NA><NA>
4353시흥시꼬끼리(KOKKIRY)유흥주점20040224<NA>폐업폐업20070607<NA><NA><NA>031 4978830528.26경기도 시흥시 서촌상가4길 2 (정왕동)경기도 시흥시 정왕동 1732-4번지1503637.344973126.732944룸살롱176272.099991427036.283175룸살롱00<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N528.26<NA><NA><NA>
603구리시G.G 가요장20010509<NA>영업/정상영업<NA><NA><NA><NA>031 563975191.58경기도 구리시 안골로85번길 12 (수택동,지층)경기도 구리시 수택동 426번지 지층1192837.597921127.140735룸살롱212362.415913455085.624683룸살롱<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N91.58<NA><NA><NA>
6706여주시로비스트20080521<NA>폐업폐업20121105<NA><NA><NA><NA>188.10경기도 여주시 여흥로109번길 16 (홍문동)경기도 여주시 홍문동 19번지1262237.296968127.636168룸살롱256340.546474421862.514865룸살롱9210<NA>유흥업소밀집지역<NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N188.1<NA><NA><NA>
2602부천시팡팡노래바20150629<NA>영업/정상영업<NA><NA><NA><NA><NA>104.50경기도 부천시 중동로262번길 44 (중동, 옥전프라자 지02호)경기도 부천시 중동 1147-2 옥전프라자 지02호1454837.502572126.771392룸살롱179716.137772444509.585858룸살롱00유흥업소밀집지역<NA>상수도전용00000<NA>00Y104.5<NA><NA><NA>
2804성남시동아가요19951215<NA>폐업폐업20021230<NA><NA><NA>031 754853632.03경기도 성남시 중원구 광명로100번길 4 2층 (성남동)경기도 성남시 중원구 성남동 2396번지 2층1336237.434996127.139905룸살롱212317.683848437001.443024룸살롱00<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N32.03<NA><NA><NA>

Duplicate rows

Most frequently occurring

시군명사업장명인허가일자영업상태명상세영업상태명폐업일자소재지시설전화번호소재지면적정보소재지도로명주소소재지지번주소소재지우편번호위도경도업태구분명정보X좌표값Y좌표값위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총종업원수본사종업원수공장사무소종업원수공장판매직종업원수공장생산직종업원수보증액월세액다중이용업소여부시설총규모정보전통업소지정번호전통업소주된음식# duplicates
0화성시친구찾기주점19791122폐업폐업20080109<NA><NA><NA>경기도 화성시 우정읍 조암리 270-51856737.083325126.818684간이주점183808.626021397970.532638간이주점<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA>2