Overview

Dataset statistics

Number of variables47
Number of observations52
Missing cells1260
Missing cells (%)51.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory21.1 KiB
Average record size in memory415.5 B

Variable types

Categorical16
Text5
DateTime2
Unsupported22
Numeric2

Alerts

인허가취소일자 has constant value ""Constant
문화체육업종명 has constant value ""Constant
영업상태구분코드 is highly imbalanced (76.5%)Imbalance
영업상태명 is highly imbalanced (56.7%)Imbalance
폐업일자 is highly imbalanced (72.4%)Imbalance
총층수 is highly imbalanced (76.5%)Imbalance
지상층수 is highly imbalanced (76.5%)Imbalance
지하층수 is highly imbalanced (76.5%)Imbalance
객실수 is highly imbalanced (76.5%)Imbalance
선박총톤수 is highly imbalanced (76.5%)Imbalance
선박수 is highly imbalanced (76.5%)Imbalance
무대면적 is highly imbalanced (76.5%)Imbalance
회의실동시수용인원수 is highly imbalanced (76.5%)Imbalance
시설면적 is highly imbalanced (76.5%)Imbalance
놀이시설수 is highly imbalanced (76.5%)Imbalance
시설규모 is highly imbalanced (76.5%)Imbalance
인허가취소일자 has 50 (96.2%) missing valuesMissing
소재지시설전화번호 has 50 (96.2%) missing valuesMissing
소재지면적정보 has 52 (100.0%) missing valuesMissing
도로명우편번호 has 52 (100.0%) missing valuesMissing
소재지도로명주소 has 8 (15.4%) missing valuesMissing
WGS84위도 has 4 (7.7%) missing valuesMissing
WGS84경도 has 4 (7.7%) missing valuesMissing
업태구분명정보 has 52 (100.0%) missing valuesMissing
X좌표값 has 52 (100.0%) missing valuesMissing
Y좌표값 has 52 (100.0%) missing valuesMissing
지역구분명 has 52 (100.0%) missing valuesMissing
주변환경명 has 52 (100.0%) missing valuesMissing
제작취급품목내용 has 52 (100.0%) missing valuesMissing
보험기관명 has 52 (100.0%) missing valuesMissing
영문상호명 has 52 (100.0%) missing valuesMissing
영문상호주소 has 52 (100.0%) missing valuesMissing
선박제원내용 has 52 (100.0%) missing valuesMissing
기념품종류명 has 52 (100.0%) missing valuesMissing
놀이기구수내역 has 52 (100.0%) missing valuesMissing
발전시설유무 has 52 (100.0%) missing valuesMissing
의무실유무 has 52 (100.0%) missing valuesMissing
안내소유무 has 52 (100.0%) missing valuesMissing
기획여행보험시작일자 has 52 (100.0%) missing valuesMissing
기획여행보험종료일자 has 52 (100.0%) missing valuesMissing
보험시작일자 has 52 (100.0%) missing valuesMissing
보험종료일자 has 52 (100.0%) missing valuesMissing
부대시설내역 has 52 (100.0%) missing valuesMissing
소재지면적정보 is an unsupported type, check if it needs cleaning or further analysisUnsupported
도로명우편번호 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
X좌표값 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Y좌표값 is an unsupported type, check if it needs cleaning or further analysisUnsupported
지역구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
주변환경명 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
영문상호명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
영문상호주소 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

Reproduction

Analysis started2023-12-10 21:23:55.757134
Analysis finished2023-12-10 21:23:56.168930
Duration0.41 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

Distinct11
Distinct (%)21.2%
Missing0
Missing (%)0.0%
Memory size548.0 B
의정부시
12 
군포시
9 
부천시
8 
성남시
7 
광명시
5 
Other values (6)
11 

Length

Max length4
Median length3
Mean length3.2307692
Min length3

Unique

Unique4 ?
Unique (%)7.7%

Sample

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

Common Values

ValueCountFrequency (%)
의정부시 12
23.1%
군포시 9
17.3%
부천시 8
15.4%
성남시 7
13.5%
광명시 5
9.6%
여주시 4
 
7.7%
양평군 3
 
5.8%
시흥시 1
 
1.9%
양주시 1
 
1.9%
연천군 1
 
1.9%

Length

2023-12-11T06:23:56.222694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
의정부시 12
23.1%
군포시 9
17.3%
부천시 8
15.4%
성남시 7
13.5%
광명시 5
9.6%
여주시 4
 
7.7%
양평군 3
 
5.8%
시흥시 1
 
1.9%
양주시 1
 
1.9%
연천군 1
 
1.9%

사업장명
Text

Distinct50
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Memory size548.0 B
2023-12-11T06:23:56.406957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length17
Mean length6
Min length2

Characters and Unicode

Total characters312
Distinct characters125
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique48 ?
Unique (%)92.3%

Sample

1st row하림성
2nd row원챠우
3rd row칭차오
4th row상하이궁 광명점
5th row타오
ValueCountFrequency (%)
중화요리 2
 
3.1%
주)엑스티라이프스타일즈 2
 
3.1%
여주 2
 
3.1%
얌차이나 2
 
3.1%
산본점 2
 
3.1%
일품 2
 
3.1%
아웃백스테이크하우스 2
 
3.1%
티지아이프라이분당점 1
 
1.5%
스완레스토랑 1
 
1.5%
덕화원 1
 
1.5%
Other values (48) 48
73.8%
2023-12-11T06:23:56.724851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 16
 
5.1%
스 16
 
5.1%
13
 
4.2%
점 12
 
3.8%
아 10
 
3.2%
코 7
 
2.2%
리 7
 
2.2%
주 6
 
1.9%
하 6
 
1.9%
나 5
 
1.6%
Other values (115) 214
68.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 278
89.1%
Space Separator 13
 
4.2%
Uppercase Letter 10
 
3.2%
Close Punctuation 4
 
1.3%
Other Punctuation 4
 
1.3%
Open Punctuation 3
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 16
 
5.8%
스 16
 
5.8%
점 12
 
4.3%
아 10
 
3.6%
코 7
 
2.5%
리 7
 
2.5%
주 6
 
2.2%
하 6
 
2.2%
나 5
 
1.8%
프 5
 
1.8%
Other values (101) 188
67.6%
Uppercase Letter
ValueCountFrequency (%)
I 2
20.0%
S 1
10.0%
T 1
10.0%
G 1
10.0%
F 1
10.0%
R 1
10.0%
D 1
10.0%
A 1
10.0%
Y 1
10.0%
Other Punctuation
ValueCountFrequency (%)
. 3
75.0%
' 1
 
25.0%
Space Separator
ValueCountFrequency (%)
13
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 278
89.1%
Common 24
 
7.7%
Latin 10
 
3.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 16
 
5.8%
스 16
 
5.8%
점 12
 
4.3%
아 10
 
3.6%
코 7
 
2.5%
리 7
 
2.5%
주 6
 
2.2%
하 6
 
2.2%
나 5
 
1.8%
프 5
 
1.8%
Other values (101) 188
67.6%
Latin
ValueCountFrequency (%)
I 2
20.0%
S 1
10.0%
T 1
10.0%
G 1
10.0%
F 1
10.0%
R 1
10.0%
D 1
10.0%
A 1
10.0%
Y 1
10.0%
Common
ValueCountFrequency (%)
13
54.2%
) 4
 
16.7%
. 3
 
12.5%
( 3
 
12.5%
' 1
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 278
89.1%
ASCII 34
 
10.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 16
 
5.8%
스 16
 
5.8%
점 12
 
4.3%
아 10
 
3.6%
코 7
 
2.5%
리 7
 
2.5%
주 6
 
2.2%
하 6
 
2.2%
나 5
 
1.8%
프 5
 
1.8%
Other values (101) 188
67.6%
ASCII
ValueCountFrequency (%)
13
38.2%
) 4
 
11.8%
. 3
 
8.8%
( 3
 
8.8%
I 2
 
5.9%
S 1
 
2.9%
T 1
 
2.9%
G 1
 
2.9%
F 1
 
2.9%
R 1
 
2.9%
Other values (4) 4
 
11.8%

인허가일자
Date

Distinct40
Distinct (%)76.9%
Missing0
Missing (%)0.0%
Memory size548.0 B
Minimum1998-03-11 00:00:00
Maximum2018-03-20 00:00:00
2023-12-11T06:23:56.826179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:23:56.934205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)

인허가취소일자
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)50.0%
Missing50
Missing (%)96.2%
Memory size548.0 B
Minimum2015-07-08 00:00:00
Maximum2015-07-08 00:00:00
2023-12-11T06:23:57.021826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:23:57.283013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

영업상태구분코드
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size548.0 B
<NA>
50 
33
 
2

Length

Max length4
Median length4
Mean length3.9230769
Min length2

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> 50
96.2%
33 2
 
3.8%

Length

2023-12-11T06:23:57.374580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:23:57.454436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 50
96.2%
33 2
 
3.8%

영업상태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Memory size548.0 B
운영중
45 
폐업 등
5 
지정취소
 
2

Length

Max length4
Median length3
Mean length3.1346154
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
운영중 45
86.5%
폐업 등 5
 
9.6%
지정취소 2
 
3.8%

Length

2023-12-11T06:23:57.527674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:23:57.604523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
운영중 45
78.9%
폐업 5
 
8.8%
등 5
 
8.8%
지정취소 2
 
3.5%

폐업일자
Categorical

IMBALANCE 

Distinct5
Distinct (%)9.6%
Missing0
Missing (%)0.0%
Memory size548.0 B
<NA>
47 
20120830
 
2
20150125
 
1
20060202
 
1
20041112
 
1

Length

Max length8
Median length4
Mean length4.3846154
Min length4

Unique

Unique3 ?
Unique (%)5.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 47
90.4%
20120830 2
 
3.8%
20150125 1
 
1.9%
20060202 1
 
1.9%
20041112 1
 
1.9%

Length

2023-12-11T06:23:57.693766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:23:57.778780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 47
90.4%
20120830 2
 
3.8%
20150125 1
 
1.9%
20060202 1
 
1.9%
20041112 1
 
1.9%

소재지시설전화번호
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing50
Missing (%)96.2%
Memory size548.0 B
2023-12-11T06:23:57.871777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length8
Min length8

Characters and Unicode

Total characters16
Distinct characters7
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

Unique2 ?
Unique (%)100.0%

Sample

1st row885-0101
2nd row880-1630
ValueCountFrequency (%)
885-0101 1
50.0%
880-1630 1
50.0%
2023-12-11T06:23:58.078033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8 4
25.0%
0 4
25.0%
1 3
18.8%
- 2
12.5%
5 1
 
6.2%
6 1
 
6.2%
3 1
 
6.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 14
87.5%
Dash Punctuation 2
 
12.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
8 4
28.6%
0 4
28.6%
1 3
21.4%
5 1
 
7.1%
6 1
 
7.1%
3 1
 
7.1%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 16
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
8 4
25.0%
0 4
25.0%
1 3
18.8%
- 2
12.5%
5 1
 
6.2%
6 1
 
6.2%
3 1
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 16
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8 4
25.0%
0 4
25.0%
1 3
18.8%
- 2
12.5%
5 1
 
6.2%
6 1
 
6.2%
3 1
 
6.2%

소재지면적정보
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)100.0%
Memory size600.0 B

도로명우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)100.0%
Memory size600.0 B

소재지도로명주소
Text

MISSING 

Distinct42
Distinct (%)95.5%
Missing8
Missing (%)15.4%
Memory size548.0 B
2023-12-11T06:23:58.356075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length36.5
Mean length27.363636
Min length15

Characters and Unicode

Total characters1204
Distinct characters125
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

Unique41 ?
Unique (%)93.2%

Sample

1st row경기도 광명시 범안로 949 (하안동)
2nd row경기도 광명시 오리로403번길 6 (소하동)
3rd row경기도 광명시 하안로 60, E동 213,214호 (소하동, 광명테크노파크)
4th row경기도 광명시 하안로 295, 2층 (하안동)
5th row경기도 광명시 하안로287번길 15-1 (하안동)
ValueCountFrequency (%)
경기도 44
 
18.3%
의정부시 12
 
5.0%
군포시 9
 
3.8%
부천시 8
 
3.3%
산본동 8
 
3.3%
산본로323번길 5
 
2.1%
광명시 5
 
2.1%
길주로 4
 
1.7%
분당구 4
 
1.7%
성남시 4
 
1.7%
Other values (113) 137
57.1%
2023-12-11T06:23:58.752753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
210
 
17.4%
경 44
 
3.7%
도 44
 
3.7%
기 44
 
3.7%
2 43
 
3.6%
로 42
 
3.5%
시 41
 
3.4%
1 39
 
3.2%
동 34
 
2.8%
( 32
 
2.7%
Other values (115) 631
52.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 685
56.9%
Space Separator 210
 
17.4%
Decimal Number 209
 
17.4%
Open Punctuation 32
 
2.7%
Close Punctuation 32
 
2.7%
Other Punctuation 27
 
2.2%
Dash Punctuation 8
 
0.7%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 44
 
6.4%
도 44
 
6.4%
기 44
 
6.4%
로 42
 
6.1%
시 41
 
6.0%
동 34
 
5.0%
부 30
 
4.4%
길 27
 
3.9%
정 26
 
3.8%
번 21
 
3.1%
Other values (99) 332
48.5%
Decimal Number
ValueCountFrequency (%)
2 43
20.6%
1 39
18.7%
3 27
12.9%
4 19
9.1%
0 19
9.1%
8 16
 
7.7%
7 14
 
6.7%
6 11
 
5.3%
5 11
 
5.3%
9 10
 
4.8%
Space Separator
ValueCountFrequency (%)
210
100.0%
Open Punctuation
ValueCountFrequency (%)
( 32
100.0%
Close Punctuation
ValueCountFrequency (%)
) 32
100.0%
Other Punctuation
ValueCountFrequency (%)
, 27
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Uppercase Letter
ValueCountFrequency (%)
E 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 685
56.9%
Common 518
43.0%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 44
 
6.4%
도 44
 
6.4%
기 44
 
6.4%
로 42
 
6.1%
시 41
 
6.0%
동 34
 
5.0%
부 30
 
4.4%
길 27
 
3.9%
정 26
 
3.8%
번 21
 
3.1%
Other values (99) 332
48.5%
Common
ValueCountFrequency (%)
210
40.5%
2 43
 
8.3%
1 39
 
7.5%
( 32
 
6.2%
) 32
 
6.2%
3 27
 
5.2%
, 27
 
5.2%
4 19
 
3.7%
0 19
 
3.7%
8 16
 
3.1%
Other values (5) 54
 
10.4%
Latin
ValueCountFrequency (%)
E 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 685
56.9%
ASCII 519
43.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
210
40.5%
2 43
 
8.3%
1 39
 
7.5%
( 32
 
6.2%
) 32
 
6.2%
3 27
 
5.2%
, 27
 
5.2%
4 19
 
3.7%
0 19
 
3.7%
8 16
 
3.1%
Other values (6) 55
 
10.6%
Hangul
ValueCountFrequency (%)
경 44
 
6.4%
도 44
 
6.4%
기 44
 
6.4%
로 42
 
6.1%
시 41
 
6.0%
동 34
 
5.0%
부 30
 
4.4%
길 27
 
3.9%
정 26
 
3.8%
번 21
 
3.1%
Other values (99) 332
48.5%

소재지지번주소
Text

Distinct51
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Memory size548.0 B
2023-12-11T06:23:59.020207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length33
Mean length24.480769
Min length18

Characters and Unicode

Total characters1273
Distinct characters116
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

Unique50 ?
Unique (%)96.2%

Sample

1st row경기도 광명시 하안동 339-15번지
2nd row경기도 광명시 소하동 381-10번지
3rd row경기도 광명시 소하동 1345번지 광명테크노파크 E동 213,214호
4th row경기도 광명시 하안동 36-5번지 노벨빌딩 2층
5th row경기도 광명시 하안동 35-6번지
ValueCountFrequency (%)
경기도 52
 
19.8%
의정부시 12
 
4.6%
군포시 9
 
3.4%
산본동 9
 
3.4%
의정부동 8
 
3.1%
부천시 8
 
3.1%
성남시 7
 
2.7%
분당구 6
 
2.3%
2층 5
 
1.9%
광명시 5
 
1.9%
Other values (115) 141
53.8%
2023-12-11T06:23:59.389903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
211
 
16.6%
1 72
 
5.7%
경 52
 
4.1%
도 52
 
4.1%
기 52
 
4.1%
지 52
 
4.1%
번 50
 
3.9%
시 49
 
3.8%
동 49
 
3.8%
- 46
 
3.6%
Other values (106) 588
46.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 737
57.9%
Decimal Number 273
 
21.4%
Space Separator 211
 
16.6%
Dash Punctuation 46
 
3.6%
Other Punctuation 3
 
0.2%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 52
 
7.1%
도 52
 
7.1%
기 52
 
7.1%
지 52
 
7.1%
번 50
 
6.8%
시 49
 
6.6%
동 49
 
6.6%
부 29
 
3.9%
정 24
 
3.3%
의 20
 
2.7%
Other values (90) 308
41.8%
Decimal Number
ValueCountFrequency (%)
1 72
26.4%
2 41
15.0%
3 34
12.5%
0 26
 
9.5%
5 24
 
8.8%
6 22
 
8.1%
4 17
 
6.2%
9 16
 
5.9%
7 12
 
4.4%
8 9
 
3.3%
Space Separator
ValueCountFrequency (%)
211
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 46
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Uppercase Letter
ValueCountFrequency (%)
E 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 737
57.9%
Common 535
42.0%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 52
 
7.1%
도 52
 
7.1%
기 52
 
7.1%
지 52
 
7.1%
번 50
 
6.8%
시 49
 
6.6%
동 49
 
6.6%
부 29
 
3.9%
정 24
 
3.3%
의 20
 
2.7%
Other values (90) 308
41.8%
Common
ValueCountFrequency (%)
211
39.4%
1 72
 
13.5%
- 46
 
8.6%
2 41
 
7.7%
3 34
 
6.4%
0 26
 
4.9%
5 24
 
4.5%
6 22
 
4.1%
4 17
 
3.2%
9 16
 
3.0%
Other values (5) 26
 
4.9%
Latin
ValueCountFrequency (%)
E 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 737
57.9%
ASCII 536
42.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
211
39.4%
1 72
 
13.4%
- 46
 
8.6%
2 41
 
7.6%
3 34
 
6.3%
0 26
 
4.9%
5 24
 
4.5%
6 22
 
4.1%
4 17
 
3.2%
9 16
 
3.0%
Other values (6) 27
 
5.0%
Hangul
ValueCountFrequency (%)
경 52
 
7.1%
도 52
 
7.1%
기 52
 
7.1%
지 52
 
7.1%
번 50
 
6.8%
시 49
 
6.6%
동 49
 
6.6%
부 29
 
3.9%
정 24
 
3.3%
의 20
 
2.7%
Other values (90) 308
41.8%

소재지우편번호
Text

Distinct40
Distinct (%)76.9%
Missing0
Missing (%)0.0%
Memory size548.0 B
2023-12-11T06:23:59.585709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length5.8653846
Min length5

Characters and Unicode

Total characters305
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

Unique33 ?
Unique (%)63.5%

Sample

1st row423844
2nd row423823
3rd row423051
4th row423848
5th row423060
ValueCountFrequency (%)
480843 4
 
7.7%
15865 4
 
7.7%
476922 3
 
5.8%
480848 2
 
3.8%
435804 2
 
3.8%
480849 2
 
3.8%
420862 2
 
3.8%
486904 1
 
1.9%
463824 1
 
1.9%
11645 1
 
1.9%
Other values (30) 30
57.7%
2023-12-11T06:23:59.926110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 65
21.3%
8 55
18.0%
0 35
11.5%
2 34
11.1%
6 30
9.8%
3 27
8.9%
5 20
 
6.6%
1 17
 
5.6%
9 12
 
3.9%
7 8
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 303
99.3%
Dash Punctuation 2
 
0.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 65
21.5%
8 55
18.2%
0 35
11.6%
2 34
11.2%
6 30
9.9%
3 27
8.9%
5 20
 
6.6%
1 17
 
5.6%
9 12
 
4.0%
7 8
 
2.6%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 305
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 65
21.3%
8 55
18.0%
0 35
11.5%
2 34
11.1%
6 30
9.8%
3 27
8.9%
5 20
 
6.6%
1 17
 
5.6%
9 12
 
3.9%
7 8
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 305
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 65
21.3%
8 55
18.0%
0 35
11.5%
2 34
11.1%
6 30
9.8%
3 27
8.9%
5 20
 
6.6%
1 17
 
5.6%
9 12
 
3.9%
7 8
 
2.6%

WGS84위도
Real number (ℝ)

MISSING 

Distinct45
Distinct (%)93.8%
Missing4
Missing (%)7.7%
Infinite0
Infinite (%)0.0%
Mean37.522865
Minimum37.252024
Maximum38.024142
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size600.0 B
2023-12-11T06:24:00.071703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.252024
5-th percentile37.359199
Q137.374983
median37.486407
Q337.72669
95-th percentile37.751946
Maximum38.024142
Range0.77211846
Interquartile range (IQR)0.35170663

Descriptive statistics

Standard deviation0.17277771
Coefficient of variation (CV)0.0046045979
Kurtosis-0.09058845
Mean37.522865
Median Absolute Deviation (MAD)0.12100677
Skewness0.83898939
Sum1801.0975
Variance0.029852136
MonotonicityNot monotonic
2023-12-11T06:24:00.216866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
37.5056775235 3
 
5.8%
37.737615766 2
 
3.8%
37.7346142843 1
 
1.9%
37.3850129659 1
 
1.9%
37.468970101 1
 
1.9%
37.3699222575 1
 
1.9%
37.379977674 1
 
1.9%
37.3453159826 1
 
1.9%
37.8440734765 1
 
1.9%
38.0241423496 1
 
1.9%
Other values (35) 35
67.3%
(Missing) 4
 
7.7%
ValueCountFrequency (%)
37.2520238846 1
1.9%
37.3453159826 1
1.9%
37.3590119813 1
1.9%
37.3595464665 1
1.9%
37.359663154 1
1.9%
37.3597546573 1
1.9%
37.3601049323 1
1.9%
37.3602647252 1
1.9%
37.3605616827 1
1.9%
37.3608776931 1
1.9%
ValueCountFrequency (%)
38.0241423496 1
1.9%
37.8440734765 1
1.9%
37.7531183344 1
1.9%
37.7497694449 1
1.9%
37.7423374605 1
1.9%
37.7406926958 1
1.9%
37.7402150928 1
1.9%
37.7400794626 1
1.9%
37.737615766 2
3.8%
37.7373465317 1
1.9%

WGS84경도
Real number (ℝ)

MISSING 

Distinct45
Distinct (%)93.8%
Missing4
Missing (%)7.7%
Infinite0
Infinite (%)0.0%
Mean127.00362
Minimum126.73627
Maximum127.48985
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size600.0 B
2023-12-11T06:24:00.360813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.73627
5-th percentile126.7574
Q1126.87971
median127.03806
Q3127.0717
95-th percentile127.43819
Maximum127.48985
Range0.75358223
Interquartile range (IQR)0.19198765

Descriptive statistics

Standard deviation0.18411011
Coefficient of variation (CV)0.0014496446
Kurtosis0.91928912
Mean127.00362
Median Absolute Deviation (MAD)0.10688714
Skewness0.87574327
Sum6096.1735
Variance0.033896532
MonotonicityNot monotonic
2023-12-11T06:24:00.485417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
127.4381897712 3
 
5.8%
127.0380632728 2
 
3.8%
127.0426669173 1
 
1.9%
127.1234310172 1
 
1.9%
127.1497903139 1
 
1.9%
127.114539134 1
 
1.9%
127.1360392382 1
 
1.9%
126.73626656 1
 
1.9%
127.062563816 1
 
1.9%
127.0697329375 1
 
1.9%
Other values (35) 35
67.3%
(Missing) 4
 
7.7%
ValueCountFrequency (%)
126.73626656 1
1.9%
126.754145423 1
1.9%
126.7548816064 1
1.9%
126.7620745903 1
1.9%
126.7708564374 1
1.9%
126.7746191476 1
1.9%
126.7811275486 1
1.9%
126.7818696233 1
1.9%
126.7845287231 1
1.9%
126.8703145592 1
1.9%
ValueCountFrequency (%)
127.4898487944 1
 
1.9%
127.4381897712 3
5.8%
127.1514070526 1
 
1.9%
127.1497903139 1
 
1.9%
127.145057583 1
 
1.9%
127.1408169983 1
 
1.9%
127.1360392382 1
 
1.9%
127.1234310172 1
 
1.9%
127.114539134 1
 
1.9%
127.0725297955 1
 
1.9%

업태구분명정보
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)100.0%
Memory size600.0 B

X좌표값
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)100.0%
Memory size600.0 B

Y좌표값
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)100.0%
Memory size600.0 B

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size548.0 B
관광식당업
52 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
관광식당업 52
100.0%

Length

2023-12-11T06:24:00.599680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:24:00.677360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
관광식당업 52
100.0%

지역구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)100.0%
Memory size600.0 B

총층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size548.0 B
<NA>
50 
0
 
2

Length

Max length4
Median length4
Mean length3.8846154
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> 50
96.2%
0 2
 
3.8%

Length

2023-12-11T06:24:00.761072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:24:00.844442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 50
96.2%
0 2
 
3.8%

주변환경명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)100.0%
Memory size600.0 B

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)100.0%
Memory size600.0 B

보험기관명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)100.0%
Memory size600.0 B

지상층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size548.0 B
<NA>
50 
0
 
2

Length

Max length4
Median length4
Mean length3.8846154
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> 50
96.2%
0 2
 
3.8%

Length

2023-12-11T06:24:00.939911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:24:01.049440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 50
96.2%
0 2
 
3.8%

지하층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size548.0 B
<NA>
50 
0
 
2

Length

Max length4
Median length4
Mean length3.8846154
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> 50
96.2%
0 2
 
3.8%

Length

2023-12-11T06:24:01.143023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:24:01.234068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 50
96.2%
0 2
 
3.8%

객실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size548.0 B
<NA>
50 
0
 
2

Length

Max length4
Median length4
Mean length3.8846154
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> 50
96.2%
0 2
 
3.8%

Length

2023-12-11T06:24:01.320979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:24:01.409119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 50
96.2%
0 2
 
3.8%

영문상호명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)100.0%
Memory size600.0 B

영문상호주소
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)100.0%
Memory size600.0 B

선박총톤수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size548.0 B
<NA>
50 
0
 
2

Length

Max length4
Median length4
Mean length3.8846154
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> 50
96.2%
0 2
 
3.8%

Length

2023-12-11T06:24:01.491038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:24:01.577385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 50
96.2%
0 2
 
3.8%

선박수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size548.0 B
<NA>
50 
0
 
2

Length

Max length4
Median length4
Mean length3.8846154
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> 50
96.2%
0 2
 
3.8%

Length

2023-12-11T06:24:01.668567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:24:01.752838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 50
96.2%
0 2
 
3.8%

선박제원내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)100.0%
Memory size600.0 B

무대면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size548.0 B
<NA>
50 
0
 
2

Length

Max length4
Median length4
Mean length3.8846154
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> 50
96.2%
0 2
 
3.8%

Length

2023-12-11T06:24:01.843495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:24:01.926481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 50
96.2%
0 2
 
3.8%

기념품종류명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)100.0%
Memory size600.0 B

회의실동시수용인원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size548.0 B
<NA>
50 
0
 
2

Length

Max length4
Median length4
Mean length3.8846154
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> 50
96.2%
0 2
 
3.8%

Length

2023-12-11T06:24:02.015996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:24:02.101685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 50
96.2%
0 2
 
3.8%

시설면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size548.0 B
<NA>
50 
0
 
2

Length

Max length4
Median length4
Mean length3.8846154
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> 50
96.2%
0 2
 
3.8%

Length

2023-12-11T06:24:02.204678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:24:02.303419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 50
96.2%
0 2
 
3.8%

놀이기구수내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)100.0%
Memory size600.0 B

놀이시설수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size548.0 B
<NA>
50 
0
 
2

Length

Max length4
Median length4
Mean length3.8846154
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> 50
96.2%
0 2
 
3.8%

Length

2023-12-11T06:24:02.391916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:24:02.468696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 50
96.2%
0 2
 
3.8%

발전시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)100.0%
Memory size600.0 B

의무실유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)100.0%
Memory size600.0 B

안내소유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)100.0%
Memory size600.0 B

기획여행보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)100.0%
Memory size600.0 B

기획여행보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)100.0%
Memory size600.0 B

보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)100.0%
Memory size600.0 B

보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)100.0%
Memory size600.0 B

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)100.0%
Memory size600.0 B

시설규모
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size548.0 B
<NA>
50 
0
 
2

Length

Max length4
Median length4
Mean length3.8846154
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> 50
96.2%
0 2
 
3.8%

Length

2023-12-11T06:24:02.548133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:24:02.622797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 50
96.2%
0 2
 
3.8%

Sample

시군명사업장명인허가일자인허가취소일자영업상태구분코드영업상태명폐업일자소재지시설전화번호소재지면적정보도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도업태구분명정보X좌표값Y좌표값문화체육업종명지역구분명총층수주변환경명제작취급품목내용보험기관명지상층수지하층수객실수영문상호명영문상호주소선박총톤수선박수선박제원내용무대면적기념품종류명회의실동시수용인원수시설면적놀이기구수내역놀이시설수발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자보험시작일자보험종료일자부대시설내역시설규모
0광명시하림성20081104<NA><NA>운영중<NA><NA><NA><NA>경기도 광명시 범안로 949 (하안동)경기도 광명시 하안동 339-15번지42384437.45719126.870315<NA><NA><NA>관광식당업<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>
1광명시원챠우20081201<NA><NA>운영중<NA><NA><NA><NA>경기도 광명시 오리로403번길 6 (소하동)경기도 광명시 소하동 381-10번지42382337.438431126.878588<NA><NA><NA>관광식당업<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>
2광명시칭차오20110117<NA><NA>운영중<NA><NA><NA><NA>경기도 광명시 하안로 60, E동 213,214호 (소하동, 광명테크노파크)경기도 광명시 소하동 1345번지 광명테크노파크 E동 213,214호42305137.443968126.894742<NA><NA><NA>관광식당업<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>
3광명시상하이궁 광명점20080404<NA><NA>운영중<NA><NA><NA><NA>경기도 광명시 하안로 295, 2층 (하안동)경기도 광명시 하안동 36-5번지 노벨빌딩 2층42384837.461973126.879965<NA><NA><NA>관광식당업<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>
4광명시타오20091015<NA><NA>운영중<NA><NA><NA><NA>경기도 광명시 하안로287번길 15-1 (하안동)경기도 광명시 하안동 35-6번지42306037.460733126.878946<NA><NA><NA>관광식당업<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>
5군포시북경20090316<NA><NA>운영중<NA><NA><NA><NA>경기도 군포시 산본로323번길 4-7 (산본동, 청우빌딩)경기도 군포시 산본동 1129번지 2층1586537.359663126.932876<NA><NA><NA>관광식당업<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>
6군포시산동성20100325<NA><NA>운영중<NA><NA><NA><NA>경기도 군포시 산본로323번길 4-21 (산본동, 미성빌딩)경기도 군포시 산본동 1131-1번지 미성빌딩 201호1586537.360265126.932386<NA><NA><NA>관광식당업<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>
7군포시아향20100212<NA><NA>운영중<NA><NA><NA><NA>경기도 군포시 수리산로 112 (산본동, 군포국제교육센터)경기도 군포시 산본동 1151-10번지 국제교육센터 203호1582337.359012126.919421<NA><NA><NA>관광식당업<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>
8군포시긴자인도레스토랑20101102<NA><NA>운영중<NA><NA><NA><NA>경기도 군포시 산본로323번길 16-31 (산본동, 한솔프라자)경기도 군포시 산본동 1136번지 한솔프라자 401,402호1586537.360105126.931021<NA><NA><NA>관광식당업<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>
9군포시윤쉐프의 짬뽕데이 산본점20180320<NA><NA>운영중<NA><NA><NA><NA>경기도 군포시 산본로 341, 현대코아텔 207, 208호 (산본동)경기도 군포시 산본동 1125번지 현대코아텔1586537.360878126.932393<NA><NA><NA>관광식당업<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>
시군명사업장명인허가일자인허가취소일자영업상태구분코드영업상태명폐업일자소재지시설전화번호소재지면적정보도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도업태구분명정보X좌표값Y좌표값문화체육업종명지역구분명총층수주변환경명제작취급품목내용보험기관명지상층수지하층수객실수영문상호명영문상호주소선박총톤수선박수선박제원내용무대면적기념품종류명회의실동시수용인원수시설면적놀이기구수내역놀이시설수발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자보험시작일자보험종료일자부대시설내역시설규모
42의정부시다경20040723<NA><NA>운영중<NA><NA><NA><NA>경기도 의정부시 장곡로628번길 22 (신곡동,삼성플러스 3층)경기도 의정부시 신곡동 765-4번지 삼성플러스 3층48086437.749769127.07253<NA><NA><NA>관광식당업<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>
43의정부시벨렝20071108<NA><NA>운영중<NA><NA><NA><NA>경기도 의정부시 둔야로17번길 32 (의정부동,삼승프라자 10층)경기도 의정부시 의정부동 490-4번지 삼승프라자 10층48084837.737616127.038063<NA><NA><NA>관광식당업<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>
44의정부시지동관20060403<NA><NA>운영중<NA><NA><NA><NA>경기도 의정부시 호국로1298번길 78 (의정부동)경기도 의정부시 의정부동 196-14번지48084337.740079127.048161<NA><NA><NA>관광식당업<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>
45의정부시두르가20040622<NA><NA>운영중<NA><NA><NA><NA>경기도 의정부시 호국로1298번길 62 (의정부동,2층)경기도 의정부시 의정부동 198-9번지 2층48084337.740693127.048248<NA><NA><NA>관광식당업<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>
46의정부시팔가20040514<NA><NA>운영중<NA><NA><NA><NA>경기도 의정부시 평화로 564 (의정부동)경기도 의정부시 의정부동 201-11번지 (1층)48084337.742337127.047035<NA><NA><NA>관광식당업<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>
47의정부시아웃백스테이크하우스 금오점20170825<NA><NA>운영중<NA><NA><NA><NA>경기도 의정부시 청사로48번길 25, 2,3층 (금오동, 아웃백스테이크하우스금오점)경기도 의정부시 금오동 474-5번지1175737.753118127.071421<NA><NA><NA>관광식당업<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>
48의정부시메이찬20170526<NA><NA>운영중<NA><NA><NA><NA>경기도 의정부시 외미로 100, 2층 205호 (호원동, 회룡타운)경기도 의정부시 호원동 50-2번지1163837.724048127.046613<NA><NA><NA>관광식당업<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>
49의정부시아사랑중화요리점20070305<NA><NA>운영중<NA><NA><NA><NA>경기도 의정부시 둔야로17번길 32 (의정부동,지상3층)경기도 의정부시 의정부동 490-4번지 지상3층48084837.737616127.038063<NA><NA><NA>관광식당업<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>
50의정부시락궁20170728<NA><NA>운영중<NA><NA><NA><NA>경기도 의정부시 호암로 85-8 (호원동)경기도 의정부시 호원동 119-35번지1164537.708304127.047208<NA><NA><NA>관광식당업<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>
51이천시로마광광나이트20011206<NA><NA>운영중<NA><NA><NA><NA><NA>경기도 이천시 부발읍 아미리 726-29번지46786637.252024127.489849<NA><NA><NA>관광식당업<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>