Overview

Dataset statistics

Number of variables48
Number of observations262
Missing cells6702
Missing cells (%)53.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory106.8 KiB
Average record size in memory417.5 B

Variable types

Categorical16
Text8
DateTime1
Unsupported16
Numeric7

Dataset

Description외국인 전용 유흥 음식점 업체 현황_인허가
Author행정안전부
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=JX93PKZ4X3E95B3QLF912397548&infSeq=1

Alerts

문화체육업종명 has constant value ""Constant
주변환경명 has constant value ""Constant
소재지우편번호 has a high cardinality: 51 distinct valuesHigh cardinality
영업상태구분코드 is highly imbalanced (62.5%)Imbalance
총층수 is highly imbalanced (79.1%)Imbalance
지상층수 is highly imbalanced (79.1%)Imbalance
지하층수 is highly imbalanced (62.5%)Imbalance
객실수 is highly imbalanced (62.5%)Imbalance
영문상호주소 is highly imbalanced (83.1%)Imbalance
선박총톤수 is highly imbalanced (62.5%)Imbalance
선박수 is highly imbalanced (62.5%)Imbalance
무대면적 is highly imbalanced (62.5%)Imbalance
회의실동시수용인원수 is highly imbalanced (62.5%)Imbalance
놀이시설수 is highly imbalanced (62.5%)Imbalance
인허가취소일자 has 262 (100.0%) missing valuesMissing
폐업일자 has 215 (82.1%) missing valuesMissing
소재지시설전화번호 has 252 (96.2%) missing valuesMissing
소재지면적정보 has 262 (100.0%) missing valuesMissing
도로명우편번호 has 251 (95.8%) missing valuesMissing
소재지도로명주소 has 25 (9.5%) missing valuesMissing
WGS84위도 has 16 (6.1%) missing valuesMissing
WGS84경도 has 16 (6.1%) missing valuesMissing
업태구분명정보 has 262 (100.0%) missing valuesMissing
X좌표값 has 243 (92.7%) missing valuesMissing
Y좌표값 has 243 (92.7%) missing valuesMissing
지역구분명 has 258 (98.5%) missing valuesMissing
주변환경명 has 260 (99.2%) missing valuesMissing
제작취급품목내용 has 262 (100.0%) missing valuesMissing
보험기관명 has 262 (100.0%) missing valuesMissing
영문상호명 has 245 (93.5%) missing valuesMissing
선박제원내용 has 262 (100.0%) missing valuesMissing
기념품종류명 has 262 (100.0%) missing valuesMissing
시설면적 has 243 (92.7%) missing valuesMissing
놀이기구수내역 has 262 (100.0%) missing valuesMissing
발전시설유무 has 262 (100.0%) missing valuesMissing
의무실유무 has 262 (100.0%) missing valuesMissing
안내소유무 has 262 (100.0%) missing valuesMissing
기획여행보험시작일자 has 262 (100.0%) missing valuesMissing
기획여행보험종료일자 has 262 (100.0%) missing valuesMissing
보험시작일자 has 262 (100.0%) missing valuesMissing
보험종료일자 has 262 (100.0%) missing valuesMissing
부대시설내역 has 262 (100.0%) missing valuesMissing
시설규모 has 243 (92.7%) missing valuesMissing
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적정보 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명정보 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제작취급품목내용 is an unsupported type, check if it needs cleaning or further analysisUnsupported
보험기관명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
선박제원내용 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기념품종류명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
놀이기구수내역 is an unsupported type, check if it needs cleaning or further analysisUnsupported
발전시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
의무실유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
안내소유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기획여행보험시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기획여행보험종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
보험시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
보험종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
부대시설내역 is an unsupported type, check if it needs cleaning or further analysisUnsupported
시설면적 has 5 (1.9%) zerosZeros
시설규모 has 5 (1.9%) zerosZeros

Reproduction

Analysis started2023-12-10 22:13:22.476728
Analysis finished2023-12-10 22:13:23.099641
Duration0.62 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

Distinct14
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
동두천시
104 
평택시
104 
의정부시
20 
파주시
17 
시흥시
 
4
Other values (9)
13 

Length

Max length4
Median length3
Mean length3.4732824
Min length3

Unique

Unique5 ?
Unique (%)1.9%

Sample

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

Common Values

ValueCountFrequency (%)
동두천시 104
39.7%
평택시 104
39.7%
의정부시 20
 
7.6%
파주시 17
 
6.5%
시흥시 4
 
1.5%
수원시 2
 
0.8%
안산시 2
 
0.8%
양주시 2
 
0.8%
용인시 2
 
0.8%
부천시 1
 
0.4%
Other values (4) 4
 
1.5%

Length

2023-12-11T07:13:23.155090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
동두천시 104
39.7%
평택시 104
39.7%
의정부시 20
 
7.6%
파주시 17
 
6.5%
시흥시 4
 
1.5%
수원시 2
 
0.8%
안산시 2
 
0.8%
양주시 2
 
0.8%
용인시 2
 
0.8%
부천시 1
 
0.4%
Other values (4) 4
 
1.5%

사업장명
Text

Distinct243
Distinct (%)92.7%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2023-12-11T07:13:23.363554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length23
Mean length5.3167939
Min length1

Characters and Unicode

Total characters1393
Distinct characters284
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

Unique226 ?
Unique (%)86.3%

Sample

1st row이글스
2nd row토크바이
3rd row파파야
4th row옥타곤
5th row허리케인
ValueCountFrequency (%)
클럽 7
 
2.4%
파파야 3
 
1.0%
럭키클럽 3
 
1.0%
2 3
 
1.0%
스테이션 2
 
0.7%
더스팟 2
 
0.7%
엘비스 2
 
0.7%
파라다이스 2
 
0.7%
스테이라운지 2
 
0.7%
피닉스클럽 2
 
0.7%
Other values (255) 269
90.6%
2023-12-11T07:13:23.914008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
스 95
 
6.8%
럽 71
 
5.1%
클 65
 
4.7%
이 62
 
4.5%
) 41
 
2.9%
( 39
 
2.8%
35
 
2.5%
라 31
 
2.2%
리 20
 
1.4%
E 19
 
1.4%
Other values (274) 915
65.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1022
73.4%
Uppercase Letter 187
 
13.4%
Lowercase Letter 52
 
3.7%
Close Punctuation 41
 
2.9%
Open Punctuation 39
 
2.8%
Space Separator 35
 
2.5%
Decimal Number 14
 
1.0%
Other Punctuation 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 95
 
9.3%
럽 71
 
6.9%
클 65
 
6.4%
이 62
 
6.1%
라 31
 
3.0%
리 20
 
2.0%
트 18
 
1.8%
아 18
 
1.8%
비 16
 
1.6%
크 16
 
1.6%
Other values (220) 610
59.7%
Uppercase Letter
ValueCountFrequency (%)
E 19
 
10.2%
A 19
 
10.2%
S 17
 
9.1%
T 16
 
8.6%
O 15
 
8.0%
N 13
 
7.0%
L 11
 
5.9%
R 11
 
5.9%
C 10
 
5.3%
V 8
 
4.3%
Other values (14) 48
25.7%
Lowercase Letter
ValueCountFrequency (%)
e 12
23.1%
l 5
9.6%
a 5
9.6%
t 4
 
7.7%
i 4
 
7.7%
r 3
 
5.8%
w 2
 
3.8%
s 2
 
3.8%
o 2
 
3.8%
n 2
 
3.8%
Other values (8) 11
21.2%
Decimal Number
ValueCountFrequency (%)
2 4
28.6%
9 3
21.4%
6 2
14.3%
7 2
14.3%
3 1
 
7.1%
4 1
 
7.1%
5 1
 
7.1%
Other Punctuation
ValueCountFrequency (%)
. 2
66.7%
' 1
33.3%
Close Punctuation
ValueCountFrequency (%)
) 41
100.0%
Open Punctuation
ValueCountFrequency (%)
( 39
100.0%
Space Separator
ValueCountFrequency (%)
35
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1022
73.4%
Latin 239
 
17.2%
Common 132
 
9.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 95
 
9.3%
럽 71
 
6.9%
클 65
 
6.4%
이 62
 
6.1%
라 31
 
3.0%
리 20
 
2.0%
트 18
 
1.8%
아 18
 
1.8%
비 16
 
1.6%
크 16
 
1.6%
Other values (220) 610
59.7%
Latin
ValueCountFrequency (%)
E 19
 
7.9%
A 19
 
7.9%
S 17
 
7.1%
T 16
 
6.7%
O 15
 
6.3%
N 13
 
5.4%
e 12
 
5.0%
L 11
 
4.6%
R 11
 
4.6%
C 10
 
4.2%
Other values (32) 96
40.2%
Common
ValueCountFrequency (%)
) 41
31.1%
( 39
29.5%
35
26.5%
2 4
 
3.0%
9 3
 
2.3%
6 2
 
1.5%
. 2
 
1.5%
7 2
 
1.5%
' 1
 
0.8%
3 1
 
0.8%
Other values (2) 2
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1022
73.4%
ASCII 371
 
26.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
스 95
 
9.3%
럽 71
 
6.9%
클 65
 
6.4%
이 62
 
6.1%
라 31
 
3.0%
리 20
 
2.0%
트 18
 
1.8%
아 18
 
1.8%
비 16
 
1.6%
크 16
 
1.6%
Other values (220) 610
59.7%
ASCII
ValueCountFrequency (%)
) 41
 
11.1%
( 39
 
10.5%
35
 
9.4%
E 19
 
5.1%
A 19
 
5.1%
S 17
 
4.6%
T 16
 
4.3%
O 15
 
4.0%
N 13
 
3.5%
e 12
 
3.2%
Other values (44) 145
39.1%

인허가일자
Date

Distinct181
Distinct (%)69.1%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
Minimum1964-07-30 00:00:00
Maximum2023-10-18 00:00:00
2023-12-11T07:13:24.021722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:13:24.155885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing262
Missing (%)100.0%
Memory size2.4 KiB

영업상태구분코드
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
<NA>
243 
13
 
19

Length

Max length4
Median length4
Mean length3.8549618
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row13
2nd row13
3rd row13
4th row13
5th row13

Common Values

ValueCountFrequency (%)
<NA> 243
92.7%
13 19
 
7.3%

Length

2023-12-11T07:13:24.270828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:13:24.350760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 243
92.7%
13 19
 
7.3%

영업상태명
Categorical

Distinct4
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
운영중
183 
폐업 등
57 
영업중
19 
휴업 등
 
3

Length

Max length4
Median length3
Mean length3.2290076
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
운영중 183
69.8%
폐업 등 57
 
21.8%
영업중 19
 
7.3%
휴업 등 3
 
1.1%

Length

2023-12-11T07:13:24.429156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:13:24.507588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
운영중 183
56.8%
등 60
 
18.6%
폐업 57
 
17.7%
영업중 19
 
5.9%
휴업 3
 
0.9%

폐업일자
Real number (ℝ)

MISSING 

Distinct43
Distinct (%)91.5%
Missing215
Missing (%)82.1%
Infinite0
Infinite (%)0.0%
Mean20105148
Minimum19901230
Maximum20180531
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2023-12-11T07:13:24.594568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19901230
5-th percentile20023969
Q120055668
median20121120
Q320170131
95-th percentile20170877
Maximum20180531
Range279301
Interquartile range (IQR)114463

Descriptive statistics

Standard deviation67610.946
Coefficient of variation (CV)0.0033628674
Kurtosis1.503708
Mean20105148
Median Absolute Deviation (MAD)49591
Skewness-1.1406989
Sum9.4494194 × 108
Variance4.57124 × 109
MonotonicityNot monotonic
2023-12-11T07:13:24.697423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
20040915 2
 
0.8%
20170131 2
 
0.8%
19901230 2
 
0.8%
20080318 2
 
0.8%
20170901 1
 
0.4%
20180531 1
 
0.4%
20060911 1
 
0.4%
20160226 1
 
0.4%
20101215 1
 
0.4%
20040813 1
 
0.4%
Other values (33) 33
 
12.6%
(Missing) 215
82.1%
ValueCountFrequency (%)
19901230 2
0.8%
20021203 1
0.4%
20030423 1
0.4%
20031130 1
0.4%
20040721 1
0.4%
20040813 1
0.4%
20040915 2
0.8%
20050201 1
0.4%
20050228 1
0.4%
20050425 1
0.4%
ValueCountFrequency (%)
20180531 1
0.4%
20171010 1
0.4%
20170901 1
0.4%
20170822 1
0.4%
20170818 1
0.4%
20170811 1
0.4%
20170801 1
0.4%
20170714 1
0.4%
20170711 1
0.4%
20170531 1
0.4%

소재지시설전화번호
Text

MISSING 

Distinct10
Distinct (%)100.0%
Missing252
Missing (%)96.2%
Memory size2.2 KiB
2023-12-11T07:13:24.829885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length10.4
Min length8

Characters and Unicode

Total characters104
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

Unique10 ?
Unique (%)100.0%

Sample

1st row865-2157
2nd row865-3367
3rd row859-3532
4th row031-862-4745
5th row031-666-2464
ValueCountFrequency (%)
865-2157 1
10.0%
865-3367 1
10.0%
859-3532 1
10.0%
031-862-4745 1
10.0%
031-666-2464 1
10.0%
662-1777 1
10.0%
031-665-3553 1
10.0%
031-664-1767 1
10.0%
031-662-9441 1
10.0%
031-664-0592 1
10.0%
2023-12-11T07:13:25.085251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6 19
18.3%
- 16
15.4%
3 12
11.5%
5 10
9.6%
1 10
9.6%
7 8
7.7%
4 8
7.7%
2 7
 
6.7%
0 7
 
6.7%
8 4
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 88
84.6%
Dash Punctuation 16
 
15.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 19
21.6%
3 12
13.6%
5 10
11.4%
1 10
11.4%
7 8
9.1%
4 8
9.1%
2 7
 
8.0%
0 7
 
8.0%
8 4
 
4.5%
9 3
 
3.4%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 104
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
6 19
18.3%
- 16
15.4%
3 12
11.5%
5 10
9.6%
1 10
9.6%
7 8
7.7%
4 8
7.7%
2 7
 
6.7%
0 7
 
6.7%
8 4
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 104
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6 19
18.3%
- 16
15.4%
3 12
11.5%
5 10
9.6%
1 10
9.6%
7 8
7.7%
4 8
7.7%
2 7
 
6.7%
0 7
 
6.7%
8 4
 
3.8%

소재지면적정보
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing262
Missing (%)100.0%
Memory size2.4 KiB

도로명우편번호
Text

MISSING 

Distinct6
Distinct (%)54.5%
Missing251
Missing (%)95.8%
Memory size2.2 KiB
2023-12-11T07:13:25.204743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.1818182
Min length5

Characters and Unicode

Total characters57
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

Unique3 ?
Unique (%)27.3%

Sample

1st row11346
2nd row11324
3rd row11324
4th row11324
5th row15062
ValueCountFrequency (%)
11324 3
27.3%
17982 3
27.3%
17758 2
18.2%
11346 1
 
9.1%
15062 1
 
9.1%
459-120 1
 
9.1%
2023-12-11T07:13:25.426016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 15
26.3%
2 8
14.0%
7 7
12.3%
4 5
 
8.8%
8 5
 
8.8%
3 4
 
7.0%
9 4
 
7.0%
5 4
 
7.0%
6 2
 
3.5%
0 2
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 56
98.2%
Dash Punctuation 1
 
1.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 15
26.8%
2 8
14.3%
7 7
12.5%
4 5
 
8.9%
8 5
 
8.9%
3 4
 
7.1%
9 4
 
7.1%
5 4
 
7.1%
6 2
 
3.6%
0 2
 
3.6%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 57
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 15
26.3%
2 8
14.0%
7 7
12.3%
4 5
 
8.8%
8 5
 
8.8%
3 4
 
7.0%
9 4
 
7.0%
5 4
 
7.0%
6 2
 
3.5%
0 2
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 57
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 15
26.3%
2 8
14.0%
7 7
12.3%
4 5
 
8.8%
8 5
 
8.8%
3 4
 
7.0%
9 4
 
7.0%
5 4
 
7.0%
6 2
 
3.5%
0 2
 
3.5%

소재지도로명주소
Text

MISSING 

Distinct186
Distinct (%)78.5%
Missing25
Missing (%)9.5%
Memory size2.2 KiB
2023-12-11T07:13:25.641683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length33
Mean length24.611814
Min length15

Characters and Unicode

Total characters5833
Distinct characters133
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

Unique145 ?
Unique (%)61.2%

Sample

1st row경기도 동두천시 중앙로 126, 생연프라자 401호 (지행동)
2nd row경기도 동두천시 중앙로353번길 12 (생연동)
3rd row경기도 동두천시 중앙로353번길 12, 2층 (생연동)
4th row경기도 동두천시 중앙로353번길 25 (생연동)
5th row경기도 동두천시 중앙로353번길 29 (생연동)
ValueCountFrequency (%)
경기도 237
19.4%
동두천시 104
 
8.5%
평택시 101
 
8.3%
신장동 70
 
5.7%
보산동 44
 
3.6%
중앙로353번길 42
 
3.4%
생연동 39
 
3.2%
쇼핑로 31
 
2.5%
쇼핑로9번길 24
 
2.0%
팽성읍 23
 
1.9%
Other values (220) 504
41.3%
2023-12-11T07:13:25.958489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1020
 
17.5%
동 297
 
5.1%
시 250
 
4.3%
기 242
 
4.1%
경 237
 
4.1%
도 237
 
4.1%
로 218
 
3.7%
1 193
 
3.3%
) 192
 
3.3%
( 192
 
3.3%
Other values (123) 2755
47.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3364
57.7%
Space Separator 1020
 
17.5%
Decimal Number 952
 
16.3%
Close Punctuation 192
 
3.3%
Open Punctuation 192
 
3.3%
Dash Punctuation 82
 
1.4%
Other Punctuation 30
 
0.5%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 297
 
8.8%
시 250
 
7.4%
기 242
 
7.2%
경 237
 
7.0%
도 237
 
7.0%
로 218
 
6.5%
길 147
 
4.4%
번 128
 
3.8%
천 107
 
3.2%
평 106
 
3.2%
Other values (107) 1395
41.5%
Decimal Number
ValueCountFrequency (%)
1 193
20.3%
3 190
20.0%
2 165
17.3%
5 93
9.8%
6 70
 
7.4%
4 68
 
7.1%
9 58
 
6.1%
7 46
 
4.8%
0 45
 
4.7%
8 24
 
2.5%
Space Separator
ValueCountFrequency (%)
1020
100.0%
Close Punctuation
ValueCountFrequency (%)
) 192
100.0%
Open Punctuation
ValueCountFrequency (%)
( 192
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 82
100.0%
Other Punctuation
ValueCountFrequency (%)
, 30
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3364
57.7%
Common 2468
42.3%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 297
 
8.8%
시 250
 
7.4%
기 242
 
7.2%
경 237
 
7.0%
도 237
 
7.0%
로 218
 
6.5%
길 147
 
4.4%
번 128
 
3.8%
천 107
 
3.2%
평 106
 
3.2%
Other values (107) 1395
41.5%
Common
ValueCountFrequency (%)
1020
41.3%
1 193
 
7.8%
) 192
 
7.8%
( 192
 
7.8%
3 190
 
7.7%
2 165
 
6.7%
5 93
 
3.8%
- 82
 
3.3%
6 70
 
2.8%
4 68
 
2.8%
Other values (5) 203
 
8.2%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3364
57.7%
ASCII 2469
42.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1020
41.3%
1 193
 
7.8%
) 192
 
7.8%
( 192
 
7.8%
3 190
 
7.7%
2 165
 
6.7%
5 93
 
3.8%
- 82
 
3.3%
6 70
 
2.8%
4 68
 
2.8%
Other values (6) 204
 
8.3%
Hangul
ValueCountFrequency (%)
동 297
 
8.8%
시 250
 
7.4%
기 242
 
7.2%
경 237
 
7.0%
도 237
 
7.0%
로 218
 
6.5%
길 147
 
4.4%
번 128
 
3.8%
천 107
 
3.2%
평 106
 
3.2%
Other values (107) 1395
41.5%

소재지지번주소
Text

Distinct205
Distinct (%)78.2%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2023-12-11T07:13:26.185662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length30
Mean length21.183206
Min length18

Characters and Unicode

Total characters5550
Distinct characters98
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique165 ?
Unique (%)63.0%

Sample

1st row경기도 동두천시 지행동 693-2 생연프라자
2nd row경기도 동두천시 생연동 541-48
3rd row경기도 동두천시 생연동 541-48
4th row경기도 동두천시 생연동 571-23
5th row경기도 동두천시 생연동 542-3
ValueCountFrequency (%)
경기도 262
23.0%
평택시 104
 
9.1%
동두천시 104
 
9.1%
신장동 73
 
6.4%
보산동 44
 
3.9%
생연동 40
 
3.5%
팽성읍 25
 
2.2%
안정리 25
 
2.2%
의정부시 20
 
1.8%
광암동 18
 
1.6%
Other values (259) 424
37.2%
2023-12-11T07:13:26.529102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
896
 
16.1%
동 319
 
5.7%
도 268
 
4.8%
시 268
 
4.8%
1 266
 
4.8%
기 264
 
4.8%
경 262
 
4.7%
지 246
 
4.4%
번 242
 
4.4%
- 239
 
4.3%
Other values (88) 2280
41.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3211
57.9%
Decimal Number 1203
 
21.7%
Space Separator 896
 
16.1%
Dash Punctuation 239
 
4.3%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 319
 
9.9%
도 268
 
8.3%
시 268
 
8.3%
기 264
 
8.2%
경 262
 
8.2%
지 246
 
7.7%
번 242
 
7.5%
천 117
 
3.6%
평 105
 
3.3%
두 104
 
3.2%
Other values (75) 1016
31.6%
Decimal Number
ValueCountFrequency (%)
1 266
22.1%
4 171
14.2%
3 154
12.8%
2 152
12.6%
9 96
 
8.0%
6 91
 
7.6%
0 90
 
7.5%
5 78
 
6.5%
7 60
 
5.0%
8 45
 
3.7%
Space Separator
ValueCountFrequency (%)
896
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 239
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3211
57.9%
Common 2338
42.1%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 319
 
9.9%
도 268
 
8.3%
시 268
 
8.3%
기 264
 
8.2%
경 262
 
8.2%
지 246
 
7.7%
번 242
 
7.5%
천 117
 
3.6%
평 105
 
3.3%
두 104
 
3.2%
Other values (75) 1016
31.6%
Common
ValueCountFrequency (%)
896
38.3%
1 266
 
11.4%
- 239
 
10.2%
4 171
 
7.3%
3 154
 
6.6%
2 152
 
6.5%
9 96
 
4.1%
6 91
 
3.9%
0 90
 
3.8%
5 78
 
3.3%
Other values (2) 105
 
4.5%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3211
57.9%
ASCII 2339
42.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
896
38.3%
1 266
 
11.4%
- 239
 
10.2%
4 171
 
7.3%
3 154
 
6.6%
2 152
 
6.5%
9 96
 
4.1%
6 91
 
3.9%
0 90
 
3.8%
5 78
 
3.3%
Other values (3) 106
 
4.5%
Hangul
ValueCountFrequency (%)
동 319
 
9.9%
도 268
 
8.3%
시 268
 
8.3%
기 264
 
8.2%
경 262
 
8.2%
지 246
 
7.7%
번 242
 
7.5%
천 117
 
3.6%
평 105
 
3.3%
두 104
 
3.2%
Other values (75) 1016
31.6%

소재지우편번호
Categorical

HIGH CARDINALITY 

Distinct51
Distinct (%)19.5%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
459120
52 
483060
40 
483800
23 
483040
17 
451807
15 
Other values (46)
115 

Length

Max length7
Median length6
Mean length5.851145
Min length4

Unique

Unique24 ?
Unique (%)9.2%

Sample

1st row11346
2nd row483-030
3rd row483-800
4th row11324
5th row483-800

Common Values

ValueCountFrequency (%)
459120 52
19.8%
483060 40
15.3%
483800 23
 
8.8%
483040 17
 
6.5%
451807 15
 
5.7%
413823 9
 
3.4%
17982 7
 
2.7%
<NA> 7
 
2.7%
483030 7
 
2.7%
459822 7
 
2.7%
Other values (41) 78
29.8%

Length

2023-12-11T07:13:26.638718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
459120 52
19.8%
483060 40
15.3%
483800 23
 
8.8%
483040 17
 
6.5%
451807 15
 
5.7%
413823 9
 
3.4%
17982 7
 
2.7%
na 7
 
2.7%
483030 7
 
2.7%
459822 7
 
2.7%
Other values (41) 78
29.8%

WGS84위도
Real number (ℝ)

MISSING 

Distinct176
Distinct (%)71.5%
Missing16
Missing (%)6.1%
Infinite0
Infinite (%)0.0%
Mean37.503524
Minimum36.959509
Maximum37.917551
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2023-12-11T07:13:26.757251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.959509
5-th percentile36.960408
Q137.080916
median37.74027
Q337.913901
95-th percentile37.916353
Maximum37.917551
Range0.95804232
Interquartile range (IQR)0.83298528

Descriptive statistics

Standard deviation0.41200845
Coefficient of variation (CV)0.01098586
Kurtosis-1.8837683
Mean37.503524
Median Absolute Deviation (MAD)0.17668599
Skewness-0.15579553
Sum9225.867
Variance0.16975097
MonotonicityNot monotonic
2023-12-11T07:13:26.878848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.9148310653 4
 
1.5%
37.0806194065 4
 
1.5%
37.9134503982 4
 
1.5%
37.9139013794 4
 
1.5%
37.0813490319 4
 
1.5%
37.0798113579 3
 
1.1%
37.9158484785 3
 
1.1%
37.0804835999 3
 
1.1%
37.9169561472 3
 
1.1%
37.0807628219 3
 
1.1%
Other values (166) 211
80.5%
(Missing) 16
 
6.1%
ValueCountFrequency (%)
36.959508969 1
0.4%
36.9597522368 1
0.4%
36.9598955481 2
0.8%
36.9599465341 1
0.4%
36.9600856541 1
0.4%
36.9601292292 1
0.4%
36.9601632627 2
0.8%
36.9602722083 1
0.4%
36.9602976141 1
0.4%
36.9603626517 2
0.8%
ValueCountFrequency (%)
37.9175512893 2
0.8%
37.9174964835 1
 
0.4%
37.9172360573 1
 
0.4%
37.9171982042 1
 
0.4%
37.9170811243 1
 
0.4%
37.9169561472 3
1.1%
37.9168213419 1
 
0.4%
37.9167660641 2
0.8%
37.91635285 2
0.8%
37.9161725948 1
 
0.4%

WGS84경도
Real number (ℝ)

MISSING 

Distinct176
Distinct (%)71.5%
Missing16
Missing (%)6.1%
Infinite0
Infinite (%)0.0%
Mean127.03039
Minimum126.74771
Maximum127.44656
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2023-12-11T07:13:26.980718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.74771
5-th percentile126.81949
Q1127.04958
median127.0518
Q3127.05642
95-th percentile127.08657
Maximum127.44656
Range0.69884904
Interquartile range (IQR)0.00683238

Descriptive statistics

Standard deviation0.083824901
Coefficient of variation (CV)0.00065988069
Kurtosis5.5991417
Mean127.03039
Median Absolute Deviation (MAD)0.0046127838
Skewness-1.5796326
Sum31249.476
Variance0.007026614
MonotonicityNot monotonic
2023-12-11T07:13:27.088876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.0567753571 4
 
1.5%
127.0511704656 4
 
1.5%
127.0563285842 4
 
1.5%
127.0564168875 4
 
1.5%
127.0510311538 4
 
1.5%
127.0496451404 3
 
1.1%
127.0564962091 3
 
1.1%
127.0510137557 3
 
1.1%
127.0562506419 3
 
1.1%
127.0509558551 3
 
1.1%
Other values (166) 211
80.5%
(Missing) 16
 
6.1%
ValueCountFrequency (%)
126.7477061416 2
0.8%
126.7489737612 1
0.4%
126.749951335 1
0.4%
126.7866959484 1
0.4%
126.8018777724 1
0.4%
126.8049780469 1
0.4%
126.8050746904 1
0.4%
126.805236978 1
0.4%
126.8054062334 1
0.4%
126.8054542444 1
0.4%
ValueCountFrequency (%)
127.4465551836 1
0.4%
127.1176751535 1
0.4%
127.1175960831 1
0.4%
127.109869474 1
0.4%
127.1087749194 1
0.4%
127.0998186482 1
0.4%
127.0993073854 1
0.4%
127.0983999724 1
0.4%
127.0982874828 1
0.4%
127.086686935 1
0.4%

업태구분명정보
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing262
Missing (%)100.0%
Memory size2.4 KiB

X좌표값
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)89.5%
Missing243
Missing (%)92.7%
Infinite0
Infinite (%)0.0%
Mean203129.39
Minimum177573.86
Maximum204921.92
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2023-12-11T07:13:27.177917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum177573.86
5-th percentile201316.51
Q1204409.69
median204479.38
Q3204881.75
95-th percentile204912.81
Maximum204921.92
Range27348.055
Interquartile range (IQR)472.05441

Descriptive statistics

Standard deviation6197.3039
Coefficient of variation (CV)0.030509145
Kurtosis18.873926
Mean203129.39
Median Absolute Deviation (MAD)402.36658
Skewness-4.3383746
Sum3859458.3
Variance38406575
MonotonicityNot monotonic
2023-12-11T07:13:27.280856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
204881.747452661 2
 
0.8%
204467.834184755 2
 
0.8%
204462.363641498 1
 
0.4%
204413.946703361 1
 
0.4%
204479.380868377 1
 
0.4%
204405.439376765 1
 
0.4%
204480.209737345 1
 
0.4%
203970.155068528 1
 
0.4%
204551.007998769 1
 
0.4%
203954.581728863 1
 
0.4%
Other values (7) 7
 
2.7%
(Missing) 243
92.7%
ValueCountFrequency (%)
177573.864644747 1
0.4%
203954.581728863 1
0.4%
203958.800403863 1
0.4%
203970.155068528 1
0.4%
204405.439376765 1
0.4%
204413.946703361 1
0.4%
204462.363641498 1
0.4%
204467.834184755 2
0.8%
204479.380868377 1
0.4%
204480.209737345 1
0.4%
ValueCountFrequency (%)
204921.919815237 1
0.4%
204911.793773221 1
0.4%
204908.589879669 1
0.4%
204887.386333333 1
0.4%
204881.747452661 2
0.8%
204879.741765202 1
0.4%
204551.007998769 1
0.4%
204480.209737345 1
0.4%
204479.380868377 1
0.4%
204467.834184755 2
0.8%

Y좌표값
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)89.5%
Missing243
Missing (%)92.7%
Infinite0
Infinite (%)0.0%
Mean435902.77
Minimum384339.65
Maximum490242.46
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2023-12-11T07:13:27.367952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum384339.65
5-th percentile384351.09
Q1397682.23
median397740.12
Q3490119.65
95-th percentile490192.41
Maximum490242.46
Range105902.81
Interquartile range (IQR)92437.423

Descriptive statistics

Standard deviation48060.94
Coefficient of variation (CV)0.1102561
Kurtosis-2.0605806
Mean435902.77
Median Absolute Deviation (MAD)13400.472
Skewness0.25481478
Sum8282152.7
Variance2.309854 × 109
MonotonicityNot monotonic
2023-12-11T07:13:27.452758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
490088.851306131 2
 
0.8%
397733.812776242 2
 
0.8%
397672.801680594 1
 
0.4%
397740.120748988 1
 
0.4%
397691.655072109 1
 
0.4%
397695.701433972 1
 
0.4%
397654.968211555 1
 
0.4%
384339.648380969 1
 
0.4%
487793.320942908 1
 
0.4%
384352.363828973 1
 
0.4%
Other values (7) 7
 
2.7%
(Missing) 243
92.7%
ValueCountFrequency (%)
384339.648380969 1
0.4%
384352.363828973 1
0.4%
384363.290631205 1
0.4%
397654.968211555 1
0.4%
397672.801680594 1
0.4%
397691.655072109 1
0.4%
397695.701433972 1
0.4%
397733.812776242 2
0.8%
397740.120748988 1
0.4%
426277.658033646 1
0.4%
ValueCountFrequency (%)
490242.460203765 1
0.4%
490186.848088479 1
0.4%
490186.731275889 1
0.4%
490159.344797898 1
0.4%
490150.450999999 1
0.4%
490088.851306131 2
0.8%
487793.320942908 1
0.4%
426277.658033646 1
0.4%
397740.120748988 1
0.4%
397733.812776242 2
0.8%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
외국인전용유흥음식점업
262 

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
외국인전용유흥음식점업 262
100.0%

Length

2023-12-11T07:13:27.540775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:13:27.608332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
외국인전용유흥음식점업 262
100.0%

문화사업자구분명
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
관광사업
213 
<NA>
49 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
관광사업 213
81.3%
<NA> 49
 
18.7%

Length

2023-12-11T07:13:27.678391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:13:27.749218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
관광사업 213
81.3%
na 49
 
18.7%

지역구분명
Text

MISSING 

Distinct3
Distinct (%)75.0%
Missing258
Missing (%)98.5%
Memory size2.2 KiB
2023-12-11T07:13:27.841011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length5.5
Min length4

Characters and Unicode

Total characters22
Distinct characters8
Distinct categories1 ?
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 row일반상업지역
2nd row일반상업지역
3rd row근린상업지역
4th row상업지역
ValueCountFrequency (%)
일반상업지역 2
50.0%
근린상업지역 1
25.0%
상업지역 1
25.0%
2023-12-11T07:13:28.074463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
상 4
18.2%
업 4
18.2%
지 4
18.2%
역 4
18.2%
일 2
9.1%
반 2
9.1%
근 1
 
4.5%
린 1
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 22
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
상 4
18.2%
업 4
18.2%
지 4
18.2%
역 4
18.2%
일 2
9.1%
반 2
9.1%
근 1
 
4.5%
린 1
 
4.5%

Most occurring scripts

ValueCountFrequency (%)
Hangul 22
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
상 4
18.2%
업 4
18.2%
지 4
18.2%
역 4
18.2%
일 2
9.1%
반 2
9.1%
근 1
 
4.5%
린 1
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 22
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
상 4
18.2%
업 4
18.2%
지 4
18.2%
역 4
18.2%
일 2
9.1%
반 2
9.1%
근 1
 
4.5%
린 1
 
4.5%

총층수
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
<NA>
243 
0
 
17
3
 
1
1
 
1

Length

Max length4
Median length4
Mean length3.7824427
Min length1

Unique

Unique2 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 243
92.7%
0 17
 
6.5%
3 1
 
0.4%
1 1
 
0.4%

Length

2023-12-11T07:13:28.174812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:13:28.253543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 243
92.7%
0 17
 
6.5%
3 1
 
0.4%
1 1
 
0.4%

주변환경명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)50.0%
Missing260
Missing (%)99.2%
Memory size2.2 KiB
2023-12-11T07:13:28.365678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length8
Min length8

Characters and Unicode

Total characters16
Distinct characters8
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row유흥업소밀집지역
2nd row유흥업소밀집지역
ValueCountFrequency (%)
유흥업소밀집지역 2
100.0%
2023-12-11T07:13:28.570969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
유 2
12.5%
흥 2
12.5%
업 2
12.5%
소 2
12.5%
밀 2
12.5%
집 2
12.5%
지 2
12.5%
역 2
12.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 16
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
유 2
12.5%
흥 2
12.5%
업 2
12.5%
소 2
12.5%
밀 2
12.5%
집 2
12.5%
지 2
12.5%
역 2
12.5%

Most occurring scripts

ValueCountFrequency (%)
Hangul 16
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
유 2
12.5%
흥 2
12.5%
업 2
12.5%
소 2
12.5%
밀 2
12.5%
집 2
12.5%
지 2
12.5%
역 2
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 16
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
유 2
12.5%
흥 2
12.5%
업 2
12.5%
소 2
12.5%
밀 2
12.5%
집 2
12.5%
지 2
12.5%
역 2
12.5%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing262
Missing (%)100.0%
Memory size2.4 KiB

보험기관명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing262
Missing (%)100.0%
Memory size2.4 KiB

지상층수
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
<NA>
243 
0
 
17
2
 
1
1
 
1

Length

Max length4
Median length4
Mean length3.7824427
Min length1

Unique

Unique2 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 243
92.7%
0 17
 
6.5%
2 1
 
0.4%
1 1
 
0.4%

Length

2023-12-11T07:13:28.672373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:13:28.751972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 243
92.7%
0 17
 
6.5%
2 1
 
0.4%
1 1
 
0.4%

지하층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
<NA>
243 
0
 
19

Length

Max length4
Median length4
Mean length3.7824427
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 243
92.7%
0 19
 
7.3%

Length

2023-12-11T07:13:28.842883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:13:28.938848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 243
92.7%
0 19
 
7.3%

객실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
<NA>
243 
0
 
19

Length

Max length4
Median length4
Mean length3.7824427
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 243
92.7%
0 19
 
7.3%

Length

2023-12-11T07:13:29.021516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:13:29.104620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 243
92.7%
0 19
 
7.3%

영문상호명
Text

MISSING 

Distinct17
Distinct (%)100.0%
Missing245
Missing (%)93.5%
Memory size2.2 KiB
2023-12-11T07:13:29.231832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length10
Mean length7.6470588
Min length3

Characters and Unicode

Total characters130
Distinct characters37
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique17 ?
Unique (%)100.0%

Sample

1st rowEagles
2nd rowTORQUE BIKE
3rd rowPAPAYA
4th rowOCTAGON
5th rowBeat Club
ValueCountFrequency (%)
eagles 2
 
8.7%
beat 2
 
8.7%
club 2
 
8.7%
boo 1
 
4.3%
station 1
 
4.3%
lounge 1
 
4.3%
stay 1
 
4.3%
velvet 1
 
4.3%
speakeasy2 1
 
4.3%
the 1
 
4.3%
Other values (10) 10
43.5%
2023-12-11T07:13:29.467393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
E 14
 
10.8%
A 11
 
8.5%
T 11
 
8.5%
O 8
 
6.2%
S 6
 
4.6%
R 6
 
4.6%
6
 
4.6%
L 6
 
4.6%
e 5
 
3.8%
a 5
 
3.8%
Other values (27) 52
40.0%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 97
74.6%
Lowercase Letter 25
 
19.2%
Space Separator 6
 
4.6%
Decimal Number 2
 
1.5%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
E 14
14.4%
A 11
11.3%
T 11
11.3%
O 8
 
8.2%
S 6
 
6.2%
R 6
 
6.2%
L 6
 
6.2%
B 5
 
5.2%
Y 4
 
4.1%
G 4
 
4.1%
Other values (11) 22
22.7%
Lowercase Letter
ValueCountFrequency (%)
e 5
20.0%
a 5
20.0%
u 2
 
8.0%
s 2
 
8.0%
l 2
 
8.0%
g 2
 
8.0%
t 1
 
4.0%
r 1
 
4.0%
h 1
 
4.0%
p 1
 
4.0%
Other values (3) 3
12.0%
Decimal Number
ValueCountFrequency (%)
9 1
50.0%
2 1
50.0%
Space Separator
ValueCountFrequency (%)
6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 122
93.8%
Common 8
 
6.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
E 14
 
11.5%
A 11
 
9.0%
T 11
 
9.0%
O 8
 
6.6%
S 6
 
4.9%
R 6
 
4.9%
L 6
 
4.9%
e 5
 
4.1%
a 5
 
4.1%
B 5
 
4.1%
Other values (24) 45
36.9%
Common
ValueCountFrequency (%)
6
75.0%
9 1
 
12.5%
2 1
 
12.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 130
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
E 14
 
10.8%
A 11
 
8.5%
T 11
 
8.5%
O 8
 
6.2%
S 6
 
4.6%
R 6
 
4.6%
6
 
4.6%
L 6
 
4.6%
e 5
 
3.8%
a 5
 
3.8%
Other values (27) 52
40.0%

영문상호주소
Categorical

IMBALANCE 

Distinct8
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
<NA>
245 
Tourism Service Facility(for only foreigners)
 
5
Exclusive Entertainment Restaurant for Foreigners
 
5
TOURISM SERVICE FACILITY(for only foreigners)
 
2
For tourist to utilize the establishment
 
2
Other values (3)
 
3

Length

Max length88
Median length4
Mean length6.8931298
Min length4

Unique

Unique3 ?
Unique (%)1.1%

Sample

1st rowTourism Service Facility(for only foreigners)
2nd rowTourism Service Facility(for only foreigners)
3rd rowTourism Service Facility(for only foreigners)
4th rowTOURISM SERVICE FACILITY(for only foreigners)
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 245
93.5%
Tourism Service Facility(for only foreigners) 5
 
1.9%
Exclusive Entertainment Restaurant for Foreigners 5
 
1.9%
TOURISM SERVICE FACILITY(for only foreigners) 2
 
0.8%
For tourist to utilize the establishment 2
 
0.8%
Exclusive Entertainment Restaurant For Foreigners 1
 
0.4%
Exclusive Entertainment Restaurant for foreigners 1
 
0.4%
Tourist Convenience Facility Business(Exclusive Entertainment Restaurant for Foreigners) 1
 
0.4%

Length

2023-12-11T07:13:29.567517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:13:29.650950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 245
73.1%
foreigners 15
 
4.5%
for 10
 
3.0%
entertainment 8
 
2.4%
restaurant 8
 
2.4%
facility(for 7
 
2.1%
only 7
 
2.1%
service 7
 
2.1%
exclusive 7
 
2.1%
tourism 7
 
2.1%
Other values (8) 14
 
4.2%

선박총톤수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
<NA>
243 
0
 
19

Length

Max length4
Median length4
Mean length3.7824427
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 243
92.7%
0 19
 
7.3%

Length

2023-12-11T07:13:29.763052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:13:29.847881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 243
92.7%
0 19
 
7.3%

선박수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
<NA>
243 
0
 
19

Length

Max length4
Median length4
Mean length3.7824427
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 243
92.7%
0 19
 
7.3%

Length

2023-12-11T07:13:29.929432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:13:30.006169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 243
92.7%
0 19
 
7.3%

선박제원내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing262
Missing (%)100.0%
Memory size2.4 KiB

무대면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
<NA>
243 
0
 
19

Length

Max length4
Median length4
Mean length3.7824427
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 243
92.7%
0 19
 
7.3%

Length

2023-12-11T07:13:30.324339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:13:30.401207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 243
92.7%
0 19
 
7.3%

기념품종류명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing262
Missing (%)100.0%
Memory size2.4 KiB

회의실동시수용인원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
<NA>
243 
0
 
19

Length

Max length4
Median length4
Mean length3.7824427
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 243
92.7%
0 19
 
7.3%

Length

2023-12-11T07:13:30.487707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:13:30.579661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 243
92.7%
0 19
 
7.3%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct15
Distinct (%)78.9%
Missing243
Missing (%)92.7%
Infinite0
Infinite (%)0.0%
Mean110.59526
Minimum0
Maximum446
Zeros5
Zeros (%)1.9%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2023-12-11T07:13:30.671473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q131.075
median92.84
Q3112.8
95-th percentile314.393
Maximum446
Range446
Interquartile range (IQR)81.725

Descriptive statistics

Standard deviation118.25075
Coefficient of variation (CV)1.0692207
Kurtosis2.7093992
Mean110.59526
Median Absolute Deviation (MAD)30.69
Skewness1.6393954
Sum2101.31
Variance13983.24
MonotonicityNot monotonic
2023-12-11T07:13:30.778502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0.0 5
 
1.9%
109.9 1
 
0.4%
81.78 1
 
0.4%
92.84 1
 
0.4%
103.36 1
 
0.4%
293.9 1
 
0.4%
149.03 1
 
0.4%
101.41 1
 
0.4%
446.0 1
 
0.4%
62.15 1
 
0.4%
Other values (5) 5
 
1.9%
(Missing) 243
92.7%
ValueCountFrequency (%)
0.0 5
1.9%
62.15 1
 
0.4%
63.0 1
 
0.4%
75.27 1
 
0.4%
81.78 1
 
0.4%
92.84 1
 
0.4%
101.41 1
 
0.4%
103.36 1
 
0.4%
107.2 1
 
0.4%
109.9 1
 
0.4%
ValueCountFrequency (%)
446.0 1
0.4%
299.77 1
0.4%
293.9 1
0.4%
149.03 1
0.4%
115.7 1
0.4%
109.9 1
0.4%
107.2 1
0.4%
103.36 1
0.4%
101.41 1
0.4%
92.84 1
0.4%

놀이기구수내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing262
Missing (%)100.0%
Memory size2.4 KiB

놀이시설수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
<NA>
243 
0
 
19

Length

Max length4
Median length4
Mean length3.7824427
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 243
92.7%
0 19
 
7.3%

Length

2023-12-11T07:13:30.879036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:13:30.959409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 243
92.7%
0 19
 
7.3%

발전시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing262
Missing (%)100.0%
Memory size2.4 KiB

의무실유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing262
Missing (%)100.0%
Memory size2.4 KiB

안내소유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing262
Missing (%)100.0%
Memory size2.4 KiB

기획여행보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing262
Missing (%)100.0%
Memory size2.4 KiB

기획여행보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing262
Missing (%)100.0%
Memory size2.4 KiB

보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing262
Missing (%)100.0%
Memory size2.4 KiB

보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing262
Missing (%)100.0%
Memory size2.4 KiB

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing262
Missing (%)100.0%
Memory size2.4 KiB

시설규모
Real number (ℝ)

MISSING  ZEROS 

Distinct15
Distinct (%)78.9%
Missing243
Missing (%)92.7%
Infinite0
Infinite (%)0.0%
Mean110.57895
Minimum0
Maximum446
Zeros5
Zeros (%)1.9%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2023-12-11T07:13:31.033334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q131
median93
Q3113
95-th percentile314.6
Maximum446
Range446
Interquartile range (IQR)82

Descriptive statistics

Standard deviation118.28699
Coefficient of variation (CV)1.0697063
Kurtosis2.7063191
Mean110.57895
Median Absolute Deviation (MAD)31
Skewness1.6395947
Sum2101
Variance13991.813
MonotonicityNot monotonic
2023-12-11T07:13:31.122948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 5
 
1.9%
110 1
 
0.4%
82 1
 
0.4%
93 1
 
0.4%
103 1
 
0.4%
294 1
 
0.4%
149 1
 
0.4%
101 1
 
0.4%
446 1
 
0.4%
62 1
 
0.4%
Other values (5) 5
 
1.9%
(Missing) 243
92.7%
ValueCountFrequency (%)
0 5
1.9%
62 1
 
0.4%
63 1
 
0.4%
75 1
 
0.4%
82 1
 
0.4%
93 1
 
0.4%
101 1
 
0.4%
103 1
 
0.4%
107 1
 
0.4%
110 1
 
0.4%
ValueCountFrequency (%)
446 1
0.4%
300 1
0.4%
294 1
0.4%
149 1
0.4%
116 1
0.4%
110 1
0.4%
107 1
0.4%
103 1
0.4%
101 1
0.4%
93 1
0.4%

Sample

시군명사업장명인허가일자인허가취소일자영업상태구분코드영업상태명폐업일자소재지시설전화번호소재지면적정보도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도업태구분명정보X좌표값Y좌표값문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명지상층수지하층수객실수영문상호명영문상호주소선박총톤수선박수선박제원내용무대면적기념품종류명회의실동시수용인원수시설면적놀이기구수내역놀이시설수발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자보험시작일자보험종료일자부대시설내역시설규모
0동두천시이글스2023-07-07<NA>13영업중<NA><NA><NA>11346경기도 동두천시 중앙로 126, 생연프라자 401호 (지행동)경기도 동두천시 지행동 693-2 생연프라자1134637.89276127.052529<NA>204551.007999487793.320943외국인전용유흥음식점업<NA><NA>0<NA><NA><NA>000EaglesTourism Service Facility(for only foreigners)00<NA>0<NA>0109.9<NA>0<NA><NA><NA><NA><NA><NA><NA><NA>110
1동두천시토크바이2013-05-24<NA>13영업중<NA><NA><NA>11324경기도 동두천시 중앙로353번길 12 (생연동)경기도 동두천시 생연동 541-48483-03037.91345127.056329<NA>204881.747453490088.851306외국인전용유흥음식점업<NA><NA>0<NA><NA><NA>000TORQUE BIKETourism Service Facility(for only foreigners)00<NA>0<NA>00.0<NA>0<NA><NA><NA><NA><NA><NA><NA><NA>0
2동두천시파파야2014-01-22<NA>13영업중<NA><NA><NA>11324경기도 동두천시 중앙로353번길 12, 2층 (생연동)경기도 동두천시 생연동 541-48483-80037.91345127.056329<NA>204881.747453490088.851306외국인전용유흥음식점업<NA><NA>0<NA><NA><NA>000PAPAYATourism Service Facility(for only foreigners)00<NA>0<NA>00.0<NA>0<NA><NA><NA><NA><NA><NA><NA><NA>0
3동두천시옥타곤1988-05-12<NA>13영업중<NA>865-2157<NA>11324경기도 동두천시 중앙로353번길 25 (생연동)경기도 동두천시 생연동 571-231132437.914153127.056267<NA>204887.386333490150.451외국인전용유흥음식점업관광사업<NA>0<NA><NA><NA>000OCTAGONTOURISM SERVICE FACILITY(for only foreigners)00<NA>0<NA>081.78<NA>0<NA><NA><NA><NA><NA><NA><NA><NA>82
4동두천시허리케인2002-07-31<NA>13영업중<NA><NA><NA><NA>경기도 동두천시 중앙로353번길 29 (생연동)경기도 동두천시 생연동 542-3483-80037.914333127.056255<NA>204879.741765490186.848088외국인전용유흥음식점업관광사업<NA>0<NA><NA><NA>000<NA><NA>00<NA>0<NA>092.84<NA>0<NA><NA><NA><NA><NA><NA><NA><NA>93
5동두천시비트클럽1988-05-12<NA>13영업중<NA>865-3367<NA><NA>경기도 동두천시 중앙로353번길 32-3 (보산동)경기도 동두천시 보산동 426-27483-06037.914335127.056687<NA>204911.793773490186.731276외국인전용유흥음식점업관광사업<NA>0<NA><NA><NA>000Beat ClubTourism Service Facility(for only foreigners)00<NA>0<NA>0103.36<NA>0<NA><NA><NA><NA><NA><NA><NA><NA>103
6동두천시겔러리1971-08-26<NA>13영업중<NA>859-3532<NA><NA>경기도 동두천시 중앙로361번길 37 (보산동)경기도 동두천시 보산동 426-9483-06037.914831127.056775<NA>204921.919815490242.460204외국인전용유흥음식점업관광사업<NA>0<NA><NA><NA>000GALLERYTourism Service Facility(for only foreigners)00<NA>0<NA>0293.9<NA>0<NA><NA><NA><NA><NA><NA><NA><NA>294
7동두천시프라이데이2010-02-12<NA>13영업중<NA>031-862-4745<NA><NA>경기도 동두천시 중앙로353번길 22-3 (생연동)경기도 동두천시 생연동 541-6483-03037.914055127.056621<NA>204908.58988490159.344798외국인전용유흥음식점업<NA>일반상업지역3유흥업소밀집지역<NA><NA>200FRIDAYTOURISM SERVICE FACILITY(for only foreigners)00<NA>0<NA>0149.03<NA>0<NA><NA><NA><NA><NA><NA><NA><NA>149
8동두천시린콘시토페루아노20021217<NA><NA>운영중<NA><NA><NA><NA>경기도 동두천시 생연로 225-15 (생연동)경기도 동두천시 생연동 570-60번지48380037.912825127.055331<NA><NA><NA>외국인전용유흥음식점업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
9동두천시호비20030308<NA><NA>운영중<NA><NA><NA><NA>경기도 동두천시 광암로47번길 33 (광암동)경기도 동두천시 광암동 199-10번지48304037.896553127.086548<NA><NA><NA>외국인전용유흥음식점업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
시군명사업장명인허가일자인허가취소일자영업상태구분코드영업상태명폐업일자소재지시설전화번호소재지면적정보도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도업태구분명정보X좌표값Y좌표값문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명지상층수지하층수객실수영문상호명영문상호주소선박총톤수선박수선박제원내용무대면적기념품종류명회의실동시수용인원수시설면적놀이기구수내역놀이시설수발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자보험시작일자보험종료일자부대시설내역시설규모
252평택시리코쉐이20070810<NA><NA>폐업 등20120423<NA><NA><NA>경기도 평택시 팽성읍 안정쇼핑로 19-3경기도 평택시 팽성읍 안정리 112-20번지45180736.960163127.044656<NA><NA><NA>외국인전용유흥음식점업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
253평택시블러드클럽20080117<NA><NA>폐업 등20130111<NA><NA><NA>경기도 평택시 중앙시장로25번길 18경기도 평택시 신장동 324-19번지 2층45912037.081014127.052957<NA><NA><NA>외국인전용유흥음식점업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
254평택시탑헷클럽19680131<NA><NA>폐업 등<NA><NA><NA><NA><NA>경기도 평택시 팽성읍 안정리 41-271번지45180736.961383127.045562<NA><NA><NA>외국인전용유흥음식점업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
255평택시올림피아19710828<NA><NA>폐업 등<NA><NA><NA><NA>경기도 평택시 팽성읍 안정쇼핑로 23경기도 평택시 팽성읍 안정리 112-28번지45180736.960272127.044857<NA><NA><NA>외국인전용유흥음식점업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
256평택시딕시벨19730607<NA><NA>폐업 등20170901<NA><NA><NA>경기도 평택시 팽성읍 안정순환로120번길 27, 1층경기도 평택시 팽성읍 안정리 113-11번지1798236.960086127.043653<NA><NA><NA>외국인전용유흥음식점업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
257평택시피닉스클럽19890106<NA><NA>폐업 등20080520<NA><NA><NA>경기도 평택시 중앙시장로 4-1 (신장동)경기도 평택시 신장동 302-139번지45912037.080203127.050734<NA><NA><NA>외국인전용유흥음식점업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
258평택시엘레먼트19890106<NA><NA>폐업 등<NA><NA><NA><NA>경기도 평택시 쇼핑로9번길 24-3 (신장동)경기도 평택시 신장동 305-6번지45912037.081574127.05094<NA><NA><NA>외국인전용유흥음식점업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
259평택시에이스20021015<NA><NA>폐업 등<NA><NA><NA><NA>경기도 평택시 팽성읍 안정순환로120번길 62경기도 평택시 팽성읍 안정리 111-49번지45180736.960932127.045359<NA><NA><NA>외국인전용유흥음식점업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
260하남시낙원클럽19931213<NA><NA>폐업 등20050201<NA><NA><NA><NA>경기도 하남시 하산곡동 207번지465250<NA><NA><NA><NA><NA>외국인전용유흥음식점업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
261화성시마닐라20140611<NA><NA>폐업 등20160615<NA><NA><NA>경기도 화성시 향남읍 평3길 19경기도 화성시 향남읍 평리 118-10번지 2층44593937.131409126.90824<NA><NA><NA>외국인전용유흥음식점업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>