Overview

Dataset statistics

Number of variables30
Number of observations184
Missing cells2330
Missing cells (%)42.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory46.8 KiB
Average record size in memory260.7 B

Variable types

Categorical10
Text5
DateTime2
Unsupported8
Numeric5

Alerts

문화체육업종명 has constant value ""Constant
영업상태구분코드 is highly imbalanced (66.7%)Imbalance
영업상태명 is highly imbalanced (57.6%)Imbalance
총층수 is highly imbalanced (55.6%)Imbalance
지상층수 is highly imbalanced (55.6%)Imbalance
지하층수 is highly imbalanced (55.6%)Imbalance
조명시설조도량 is highly imbalanced (55.6%)Imbalance
노래방실수 is highly imbalanced (55.6%)Imbalance
총게임기수 is highly imbalanced (55.6%)Imbalance
인허가취소일자 has 184 (100.0%) missing valuesMissing
폐업일자 has 169 (91.8%) missing valuesMissing
소재지시설전화번호 has 177 (96.2%) missing valuesMissing
소재지면적정보 has 184 (100.0%) missing valuesMissing
도로명우편번호 has 164 (89.1%) missing valuesMissing
소재지도로명주소 has 10 (5.4%) missing valuesMissing
WGS84위도 has 4 (2.2%) missing valuesMissing
WGS84경도 has 4 (2.2%) missing valuesMissing
업태구분명정보 has 184 (100.0%) missing valuesMissing
X좌표값 has 165 (89.7%) missing valuesMissing
Y좌표값 has 165 (89.7%) missing valuesMissing
주변환경명 has 184 (100.0%) missing valuesMissing
제작취급품목내용 has 184 (100.0%) missing valuesMissing
소방시설여부 has 184 (100.0%) missing valuesMissing
기존게임업외업종명 has 184 (100.0%) missing valuesMissing
제공게임물명 has 184 (100.0%) 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
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
소방시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기존게임업외업종명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제공게임물명 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-10 21:33:41.011705
Analysis finished2023-12-10 21:33:41.663470
Duration0.65 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

Distinct30
Distinct (%)16.3%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
안산시
22 
수원시
18 
고양시
18 
부천시
14 
용인시
12 
Other values (25)
100 

Length

Max length4
Median length3
Mean length3.076087
Min length3

Unique

Unique7 ?
Unique (%)3.8%

Sample

1st row가평군
2nd row가평군
3rd row고양시
4th row고양시
5th row고양시

Common Values

ValueCountFrequency (%)
안산시 22
12.0%
수원시 18
 
9.8%
고양시 18
 
9.8%
부천시 14
 
7.6%
용인시 12
 
6.5%
안양시 12
 
6.5%
화성시 11
 
6.0%
파주시 10
 
5.4%
평택시 9
 
4.9%
남양주시 6
 
3.3%
Other values (20) 52
28.3%

Length

2023-12-11T06:33:41.750154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
안산시 22
12.0%
고양시 18
 
9.8%
수원시 18
 
9.8%
부천시 14
 
7.6%
용인시 12
 
6.5%
안양시 12
 
6.5%
화성시 11
 
6.0%
파주시 10
 
5.4%
평택시 9
 
4.9%
남양주시 6
 
3.3%
Other values (20) 52
28.3%

사업장명
Text

Distinct177
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2023-12-11T06:33:41.944180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length16
Mean length7.9293478
Min length2

Characters and Unicode

Total characters1459
Distinct characters260
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique170 ?
Unique (%)92.4%

Sample

1st row사단법인 가평음악문화발전협의회
2nd row주식회사 댕스코
3rd row메가박스 킨텍스점
4th row메가박스 일산관
5th row(주)씨네콰논코리아
ValueCountFrequency (%)
주식회사 17
 
7.1%
메가박스 9
 
3.8%
롯데시네마 4
 
1.7%
cgv 3
 
1.2%
대한극장 3
 
1.2%
주 3
 
1.2%
용인자동차극장 2
 
0.8%
평택호자동차극장 2
 
0.8%
주)시네마코리아 2
 
0.8%
오산점 2
 
0.8%
Other values (185) 193
80.4%
2023-12-11T06:33:42.282820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 84
 
5.8%
) 69
 
4.7%
( 68
 
4.7%
56
 
3.8%
네 50
 
3.4%
시 47
 
3.2%
스 40
 
2.7%
마 39
 
2.7%
사 25
 
1.7%
장 24
 
1.6%
Other values (250) 957
65.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1204
82.5%
Close Punctuation 69
 
4.7%
Open Punctuation 68
 
4.7%
Space Separator 56
 
3.8%
Uppercase Letter 30
 
2.1%
Other Symbol 14
 
1.0%
Decimal Number 11
 
0.8%
Lowercase Letter 5
 
0.3%
Math Symbol 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 84
 
7.0%
네 50
 
4.2%
시 47
 
3.9%
스 40
 
3.3%
마 39
 
3.2%
사 25
 
2.1%
장 24
 
2.0%
극 23
 
1.9%
인 20
 
1.7%
씨 20
 
1.7%
Other values (223) 832
69.1%
Uppercase Letter
ValueCountFrequency (%)
C 7
23.3%
G 6
20.0%
V 5
16.7%
S 2
 
6.7%
K 2
 
6.7%
N 1
 
3.3%
F 1
 
3.3%
D 1
 
3.3%
J 1
 
3.3%
T 1
 
3.3%
Other values (3) 3
10.0%
Decimal Number
ValueCountFrequency (%)
1 3
27.3%
2 2
18.2%
4 2
18.2%
9 2
18.2%
3 2
18.2%
Lowercase Letter
ValueCountFrequency (%)
o 2
40.0%
i 1
20.0%
l 1
20.0%
m 1
20.0%
Close Punctuation
ValueCountFrequency (%)
) 69
100.0%
Open Punctuation
ValueCountFrequency (%)
( 68
100.0%
Space Separator
ValueCountFrequency (%)
56
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 14
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1218
83.5%
Common 206
 
14.1%
Latin 35
 
2.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 84
 
6.9%
네 50
 
4.1%
시 47
 
3.9%
스 40
 
3.3%
마 39
 
3.2%
사 25
 
2.1%
장 24
 
2.0%
극 23
 
1.9%
인 20
 
1.6%
씨 20
 
1.6%
Other values (224) 846
69.5%
Latin
ValueCountFrequency (%)
C 7
20.0%
G 6
17.1%
V 5
14.3%
o 2
 
5.7%
S 2
 
5.7%
K 2
 
5.7%
N 1
 
2.9%
F 1
 
2.9%
D 1
 
2.9%
J 1
 
2.9%
Other values (7) 7
20.0%
Common
ValueCountFrequency (%)
) 69
33.5%
( 68
33.0%
56
27.2%
1 3
 
1.5%
2 2
 
1.0%
4 2
 
1.0%
9 2
 
1.0%
~ 2
 
1.0%
3 2
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1204
82.5%
ASCII 241
 
16.5%
None 14
 
1.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 84
 
7.0%
네 50
 
4.2%
시 47
 
3.9%
스 40
 
3.3%
마 39
 
3.2%
사 25
 
2.1%
장 24
 
2.0%
극 23
 
1.9%
인 20
 
1.7%
씨 20
 
1.7%
Other values (223) 832
69.1%
ASCII
ValueCountFrequency (%)
) 69
28.6%
( 68
28.2%
56
23.2%
C 7
 
2.9%
G 6
 
2.5%
V 5
 
2.1%
1 3
 
1.2%
o 2
 
0.8%
2 2
 
0.8%
4 2
 
0.8%
Other values (16) 21
 
8.7%
None
ValueCountFrequency (%)
㈜ 14
100.0%

인허가일자
Date

Distinct156
Distinct (%)84.8%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
Minimum1995-04-28 00:00:00
Maximum2023-11-27 00:00:00
2023-12-11T06:33:42.417054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:33:42.533444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing184
Missing (%)100.0%
Memory size1.7 KiB

영업상태구분코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
164 
13
19 
3
 
1

Length

Max length4
Median length4
Mean length3.7771739
Min length1

Unique

Unique1 ?
Unique (%)0.5%

Sample

1st row13
2nd row3
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 164
89.1%
13 19
 
10.3%
3 1
 
0.5%

Length

2023-12-11T06:33:42.657436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:33:42.758403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 164
89.1%
13 19
 
10.3%
3 1
 
0.5%

영업상태명
Categorical

IMBALANCE 

Distinct5
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
운영중
148 
영업중
19 
폐업 등
 
14
휴업 등
 
2
폐업
 
1

Length

Max length4
Median length3
Mean length3.0815217
Min length2

Unique

Unique1 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
운영중 148
80.4%
영업중 19
 
10.3%
폐업 등 14
 
7.6%
휴업 등 2
 
1.1%
폐업 1
 
0.5%

Length

2023-12-11T06:33:43.075976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:33:43.204774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
운영중 148
74.0%
영업중 19
 
9.5%
등 16
 
8.0%
폐업 15
 
7.5%
휴업 2
 
1.0%

폐업일자
Date

MISSING 

Distinct14
Distinct (%)93.3%
Missing169
Missing (%)91.8%
Memory size1.6 KiB
Minimum2005-05-16 00:00:00
Maximum2023-07-24 00:00:00
2023-12-11T06:33:43.301488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:33:43.408471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)

소재지시설전화번호
Text

MISSING 

Distinct7
Distinct (%)100.0%
Missing177
Missing (%)96.2%
Memory size1.6 KiB
2023-12-11T06:33:43.569691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.571429
Min length8

Characters and Unicode

Total characters81
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

Unique7 ?
Unique (%)100.0%

Sample

1st row031-585-0705
2nd row032-310-3093
3rd row031-8018-0802
4th row376-8927
5th row031-870-2001
ValueCountFrequency (%)
031-585-0705 1
14.3%
032-310-3093 1
14.3%
031-8018-0802 1
14.3%
376-8927 1
14.3%
031-870-2001 1
14.3%
02-3431-9000 1
14.3%
031-368-5558 1
14.3%
2023-12-11T06:33:43.835900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 19
23.5%
- 13
16.0%
3 12
14.8%
1 8
9.9%
8 8
9.9%
5 6
 
7.4%
2 5
 
6.2%
7 4
 
4.9%
9 3
 
3.7%
6 2
 
2.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 68
84.0%
Dash Punctuation 13
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 19
27.9%
3 12
17.6%
1 8
11.8%
8 8
11.8%
5 6
 
8.8%
2 5
 
7.4%
7 4
 
5.9%
9 3
 
4.4%
6 2
 
2.9%
4 1
 
1.5%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 81
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 19
23.5%
- 13
16.0%
3 12
14.8%
1 8
9.9%
8 8
9.9%
5 6
 
7.4%
2 5
 
6.2%
7 4
 
4.9%
9 3
 
3.7%
6 2
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 81
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 19
23.5%
- 13
16.0%
3 12
14.8%
1 8
9.9%
8 8
9.9%
5 6
 
7.4%
2 5
 
6.2%
7 4
 
4.9%
9 3
 
3.7%
6 2
 
2.5%

소재지면적정보
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing184
Missing (%)100.0%
Memory size1.7 KiB

도로명우편번호
Text

MISSING 

Distinct19
Distinct (%)95.0%
Missing164
Missing (%)89.1%
Memory size1.6 KiB
2023-12-11T06:33:43.997421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.5
Min length5

Characters and Unicode

Total characters110
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

Unique18 ?
Unique (%)90.0%

Sample

1st row12438
2nd row12438
3rd row14322
4th row11901
5th row11932
ValueCountFrequency (%)
12438 2
 
10.0%
18144 1
 
5.0%
18280 1
 
5.0%
18497 1
 
5.0%
18462 1
 
5.0%
17885 1
 
5.0%
451-811 1
 
5.0%
10881 1
 
5.0%
480-848 1
 
5.0%
16585 1
 
5.0%
Other values (9) 9
45.0%
2023-12-11T06:33:44.299935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 26
23.6%
8 18
16.4%
4 15
13.6%
2 10
 
9.1%
0 9
 
8.2%
5 7
 
6.4%
3 6
 
5.5%
6 6
 
5.5%
7 5
 
4.5%
- 5
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 105
95.5%
Dash Punctuation 5
 
4.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 26
24.8%
8 18
17.1%
4 15
14.3%
2 10
 
9.5%
0 9
 
8.6%
5 7
 
6.7%
3 6
 
5.7%
6 6
 
5.7%
7 5
 
4.8%
9 3
 
2.9%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 110
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 26
23.6%
8 18
16.4%
4 15
13.6%
2 10
 
9.1%
0 9
 
8.2%
5 7
 
6.4%
3 6
 
5.5%
6 6
 
5.5%
7 5
 
4.5%
- 5
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 110
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 26
23.6%
8 18
16.4%
4 15
13.6%
2 10
 
9.1%
0 9
 
8.2%
5 7
 
6.4%
3 6
 
5.5%
6 6
 
5.5%
7 5
 
4.5%
- 5
 
4.5%

소재지도로명주소
Text

MISSING 

Distinct164
Distinct (%)94.3%
Missing10
Missing (%)5.4%
Memory size1.6 KiB
2023-12-11T06:33:44.605049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length42
Mean length30.137931
Min length15

Characters and Unicode

Total characters5244
Distinct characters281
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique154 ?
Unique (%)88.5%

Sample

1st row경기도 가평군 조종면 청군로 1270, 청소년문화의집, 조종시네마 3층
2nd row경기도 가평군 조종면 청군로 1270
3rd row경기도 고양시 일산서구 호수로 817 (대화동,현대백화점 레이킨스몰 3층)
4th row경기도 고양시 일산서구 덕이로 20, 101호 (덕이동,가동 지하)
5th row경기도 고양시 덕양구 화정로 65, 320호 (화정동,한화오벨리스크)
ValueCountFrequency (%)
경기도 174
 
16.1%
안산시 21
 
1.9%
단원구 21
 
1.9%
고양시 18
 
1.7%
수원시 17
 
1.6%
안양시 12
 
1.1%
부천시 12
 
1.1%
덕양구 11
 
1.0%
화성시 10
 
0.9%
용인시 10
 
0.9%
Other values (521) 775
71.7%
2023-12-11T06:33:45.091344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
960
 
18.3%
경 190
 
3.6%
기 187
 
3.6%
시 184
 
3.5%
동 182
 
3.5%
도 176
 
3.4%
로 167
 
3.2%
1 166
 
3.2%
) 141
 
2.7%
( 141
 
2.7%
Other values (271) 2750
52.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3035
57.9%
Space Separator 960
 
18.3%
Decimal Number 798
 
15.2%
Close Punctuation 141
 
2.7%
Open Punctuation 141
 
2.7%
Other Punctuation 138
 
2.6%
Dash Punctuation 22
 
0.4%
Uppercase Letter 7
 
0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 190
 
6.3%
기 187
 
6.2%
시 184
 
6.1%
동 182
 
6.0%
도 176
 
5.8%
로 167
 
5.5%
구 92
 
3.0%
양 74
 
2.4%
안 68
 
2.2%
고 51
 
1.7%
Other values (252) 1664
54.8%
Decimal Number
ValueCountFrequency (%)
1 166
20.8%
2 105
13.2%
0 99
12.4%
3 75
9.4%
5 73
9.1%
4 65
 
8.1%
9 60
 
7.5%
7 56
 
7.0%
6 53
 
6.6%
8 46
 
5.8%
Uppercase Letter
ValueCountFrequency (%)
B 4
57.1%
M 2
28.6%
G 1
 
14.3%
Space Separator
ValueCountFrequency (%)
960
100.0%
Close Punctuation
ValueCountFrequency (%)
) 141
100.0%
Open Punctuation
ValueCountFrequency (%)
( 141
100.0%
Other Punctuation
ValueCountFrequency (%)
, 138
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 22
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3035
57.9%
Common 2202
42.0%
Latin 7
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 190
 
6.3%
기 187
 
6.2%
시 184
 
6.1%
동 182
 
6.0%
도 176
 
5.8%
로 167
 
5.5%
구 92
 
3.0%
양 74
 
2.4%
안 68
 
2.2%
고 51
 
1.7%
Other values (252) 1664
54.8%
Common
ValueCountFrequency (%)
960
43.6%
1 166
 
7.5%
) 141
 
6.4%
( 141
 
6.4%
, 138
 
6.3%
2 105
 
4.8%
0 99
 
4.5%
3 75
 
3.4%
5 73
 
3.3%
4 65
 
3.0%
Other values (6) 239
 
10.9%
Latin
ValueCountFrequency (%)
B 4
57.1%
M 2
28.6%
G 1
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3035
57.9%
ASCII 2209
42.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
960
43.5%
1 166
 
7.5%
) 141
 
6.4%
( 141
 
6.4%
, 138
 
6.2%
2 105
 
4.8%
0 99
 
4.5%
3 75
 
3.4%
5 73
 
3.3%
4 65
 
2.9%
Other values (9) 246
 
11.1%
Hangul
ValueCountFrequency (%)
경 190
 
6.3%
기 187
 
6.2%
시 184
 
6.1%
동 182
 
6.0%
도 176
 
5.8%
로 167
 
5.5%
구 92
 
3.0%
양 74
 
2.4%
안 68
 
2.2%
고 51
 
1.7%
Other values (252) 1664
54.8%

소재지지번주소
Text

Distinct179
Distinct (%)97.3%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2023-12-11T06:33:45.363783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length36
Mean length26.521739
Min length10

Characters and Unicode

Total characters4880
Distinct characters266
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique174 ?
Unique (%)94.6%

Sample

1st row경기도 가평군 조종면 현리 410-6 청소년문화의집, 조종시네마
2nd row경기도 가평군 조종면 현리 410-6
3rd row경기도 고양시 일산서구 대화동 2602번지 현대백화점 레이킨스몰 3층
4th row경기도 고양시 일산서구 덕이동 219-8번지 가동 지하 101호
5th row경기도 고양시 덕양구 화정동 965번지 한화오벨리스크 320호
ValueCountFrequency (%)
경기도 184
 
17.9%
단원구 22
 
2.1%
안산시 22
 
2.1%
고잔동 19
 
1.9%
고양시 18
 
1.8%
수원시 18
 
1.8%
부천시 14
 
1.4%
용인시 12
 
1.2%
안양시 12
 
1.2%
덕양구 11
 
1.1%
Other values (481) 694
67.6%
2023-12-11T06:33:45.771976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
862
 
17.7%
기 194
 
4.0%
동 191
 
3.9%
경 186
 
3.8%
시 186
 
3.8%
도 185
 
3.8%
지 173
 
3.5%
1 173
 
3.5%
번 161
 
3.3%
- 127
 
2.6%
Other values (256) 2442
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2922
59.9%
Decimal Number 933
 
19.1%
Space Separator 862
 
17.7%
Dash Punctuation 127
 
2.6%
Other Punctuation 26
 
0.5%
Uppercase Letter 5
 
0.1%
Close Punctuation 2
 
< 0.1%
Open Punctuation 2
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 194
 
6.6%
동 191
 
6.5%
경 186
 
6.4%
시 186
 
6.4%
도 185
 
6.3%
지 173
 
5.9%
번 161
 
5.5%
구 96
 
3.3%
양 72
 
2.5%
안 58
 
2.0%
Other values (237) 1420
48.6%
Decimal Number
ValueCountFrequency (%)
1 173
18.5%
0 110
11.8%
2 108
11.6%
3 99
10.6%
4 87
9.3%
5 82
8.8%
6 75
8.0%
7 74
7.9%
8 63
 
6.8%
9 62
 
6.6%
Uppercase Letter
ValueCountFrequency (%)
B 2
40.0%
G 2
40.0%
L 1
20.0%
Space Separator
ValueCountFrequency (%)
862
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 127
100.0%
Other Punctuation
ValueCountFrequency (%)
, 26
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2922
59.9%
Common 1953
40.0%
Latin 5
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 194
 
6.6%
동 191
 
6.5%
경 186
 
6.4%
시 186
 
6.4%
도 185
 
6.3%
지 173
 
5.9%
번 161
 
5.5%
구 96
 
3.3%
양 72
 
2.5%
안 58
 
2.0%
Other values (237) 1420
48.6%
Common
ValueCountFrequency (%)
862
44.1%
1 173
 
8.9%
- 127
 
6.5%
0 110
 
5.6%
2 108
 
5.5%
3 99
 
5.1%
4 87
 
4.5%
5 82
 
4.2%
6 75
 
3.8%
7 74
 
3.8%
Other values (6) 156
 
8.0%
Latin
ValueCountFrequency (%)
B 2
40.0%
G 2
40.0%
L 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2922
59.9%
ASCII 1958
40.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
862
44.0%
1 173
 
8.8%
- 127
 
6.5%
0 110
 
5.6%
2 108
 
5.5%
3 99
 
5.1%
4 87
 
4.4%
5 82
 
4.2%
6 75
 
3.8%
7 74
 
3.8%
Other values (9) 161
 
8.2%
Hangul
ValueCountFrequency (%)
기 194
 
6.6%
동 191
 
6.5%
경 186
 
6.4%
시 186
 
6.4%
도 185
 
6.3%
지 173
 
5.9%
번 161
 
5.5%
구 96
 
3.3%
양 72
 
2.5%
안 58
 
2.0%
Other values (237) 1420
48.6%

소재지우편번호
Real number (ℝ)

Distinct146
Distinct (%)79.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean124791.37
Minimum10048
Maximum482812
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-11T06:33:45.915593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10048
5-th percentile10465.05
Q112379
median15361
Q3411735.5
95-th percentile450810
Maximum482812
Range472764
Interquartile range (IQR)399356.5

Descriptive statistics

Standard deviation187354.59
Coefficient of variation (CV)1.5013425
Kurtosis-0.76750277
Mean124791.37
Median Absolute Deviation (MAD)3221
Skewness1.1071118
Sum22961612
Variance3.5101742 × 1010
MonotonicityNot monotonic
2023-12-11T06:33:46.096659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15360 5
 
2.7%
15361 5
 
2.7%
15461 4
 
2.2%
412827 4
 
2.2%
15462 3
 
1.6%
14505 3
 
1.6%
450810 3
 
1.6%
480842 2
 
1.1%
11651 2
 
1.1%
17075 2
 
1.1%
Other values (136) 151
82.1%
ValueCountFrequency (%)
10048 1
0.5%
10099 1
0.5%
10110 1
0.5%
10120 1
0.5%
10237 1
0.5%
10370 1
0.5%
10387 1
0.5%
10403 1
0.5%
10448 1
0.5%
10464 1
0.5%
ValueCountFrequency (%)
482812 1
 
0.5%
480842 2
1.1%
471010 1
 
0.5%
463400 1
 
0.5%
451811 1
 
0.5%
450828 1
 
0.5%
450826 1
 
0.5%
450810 3
1.6%
449929 1
 
0.5%
448509 2
1.1%

WGS84위도
Real number (ℝ)

MISSING 

Distinct154
Distinct (%)85.6%
Missing4
Missing (%)2.2%
Infinite0
Infinite (%)0.0%
Mean37.447442
Minimum36.921446
Maximum38.107123
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-11T06:33:46.227515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.921446
5-th percentile37.011357
Q137.290762
median37.403454
Q337.635748
95-th percentile37.795722
Maximum38.107123
Range1.1856772
Interquartile range (IQR)0.34498639

Descriptive statistics

Standard deviation0.2271471
Coefficient of variation (CV)0.0060657575
Kurtosis-0.4190905
Mean37.447442
Median Absolute Deviation (MAD)0.1465188
Skewness0.063447741
Sum6740.5395
Variance0.051595806
MonotonicityNot monotonic
2023-12-11T06:33:46.384313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36.995560236 4
 
2.2%
37.5086718515 3
 
1.6%
37.3179216253 3
 
1.6%
37.317162652 2
 
1.1%
37.3892156001 2
 
1.1%
37.4030723034 2
 
1.1%
37.2736532067 2
 
1.1%
37.3128062905 2
 
1.1%
37.3183305393 2
 
1.1%
37.3148098317 2
 
1.1%
Other values (144) 156
84.8%
(Missing) 4
 
2.2%
ValueCountFrequency (%)
36.9214457112 2
1.1%
36.9914156369 1
 
0.5%
36.9943146274 2
1.1%
36.995560236 4
2.2%
37.0121882533 1
 
0.5%
37.1151595574 1
 
0.5%
37.1422522269 2
1.1%
37.1489628353 1
 
0.5%
37.1594006361 1
 
0.5%
37.1677928326 1
 
0.5%
ValueCountFrequency (%)
38.1071229181 1
0.5%
37.9088374281 1
0.5%
37.897243815 1
0.5%
37.8588789464 1
0.5%
37.8184495642 1
0.5%
37.8178471915 2
1.1%
37.8125003825 1
0.5%
37.7961966271 1
0.5%
37.7956965763 1
0.5%
37.7916392749 1
0.5%

WGS84경도
Real number (ℝ)

MISSING 

Distinct154
Distinct (%)85.6%
Missing4
Missing (%)2.2%
Infinite0
Infinite (%)0.0%
Mean126.9608
Minimum126.6213
Maximum127.63599
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-11T06:33:46.521795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.6213
5-th percentile126.72773
Q1126.82889
median126.95121
Q3127.09034
95-th percentile127.25723
Maximum127.63599
Range1.0146899
Interquartile range (IQR)0.26144692

Descriptive statistics

Standard deviation0.17762926
Coefficient of variation (CV)0.0013990875
Kurtosis0.65400316
Mean126.9608
Median Absolute Deviation (MAD)0.12873452
Skewness0.70163641
Sum22852.943
Variance0.031552154
MonotonicityNot monotonic
2023-12-11T06:33:46.663681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.1125034426 4
 
2.2%
126.7437361036 3
 
1.6%
126.8360968109 3
 
1.6%
126.8389926577 2
 
1.1%
126.9512140946 2
 
1.1%
127.1001667612 2
 
1.1%
127.0161323661 2
 
1.1%
126.8320904221 2
 
1.1%
126.839907882 2
 
1.1%
126.829341612 2
 
1.1%
Other values (144) 156
84.8%
(Missing) 4
 
2.2%
ValueCountFrequency (%)
126.621303491 1
0.5%
126.6846100837 2
1.1%
126.6866010088 1
0.5%
126.6925621827 1
0.5%
126.6973365002 1
0.5%
126.7072280688 1
0.5%
126.7193868664 1
0.5%
126.7223337889 1
0.5%
126.7280111988 1
0.5%
126.7302927867 1
0.5%
ValueCountFrequency (%)
127.6359934342 1
0.5%
127.4891064272 1
0.5%
127.4700637541 1
0.5%
127.4441957789 1
0.5%
127.347763015 2
1.1%
127.3093021446 1
0.5%
127.2740242202 1
0.5%
127.2585960695 1
0.5%
127.2571545984 1
0.5%
127.2441133261 1
0.5%

업태구분명정보
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing184
Missing (%)100.0%
Memory size1.7 KiB

X좌표값
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)94.7%
Missing165
Missing (%)89.7%
Infinite0
Infinite (%)0.0%
Mean201872.71
Minimum172824.74
Maximum230588.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-11T06:33:46.776942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum172824.74
5-th percentile175495.5
Q1191773.77
median205060.08
Q3210355.02
95-th percentile230588.2
Maximum230588.2
Range57763.459
Interquartile range (IQR)18581.251

Descriptive statistics

Standard deviation16315.964
Coefficient of variation (CV)0.080823032
Kurtosis-0.22593798
Mean201872.71
Median Absolute Deviation (MAD)6040.7045
Skewness-0.19125594
Sum3835581.4
Variance2.6621068 × 108
MonotonicityNot monotonic
2023-12-11T06:33:46.905188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
230588.199466014 2
 
1.1%
210762.239910866 1
 
0.5%
203772.831832169 1
 
0.5%
175792.246342415 1
 
0.5%
183629.624815046 1
 
0.5%
209361.779396358 1
 
0.5%
209947.80648191 1
 
0.5%
192985.28397789 1
 
0.5%
172824.740074178 1
 
0.5%
206494.821064945 1
 
0.5%
Other values (8) 8
 
4.3%
(Missing) 165
89.7%
ValueCountFrequency (%)
172824.740074178 1
0.5%
175792.246342415 1
0.5%
177525.457859854 1
0.5%
183629.624815046 1
0.5%
190562.261122576 1
0.5%
192985.28397789 1
0.5%
201277.439371003 1
0.5%
201782.733115582 1
0.5%
203772.831832169 1
0.5%
205060.075601355 1
0.5%
ValueCountFrequency (%)
230588.199466014 2
1.1%
212649.486418551 1
0.5%
211100.780108692 1
0.5%
210762.239910866 1
0.5%
209947.80648191 1
0.5%
209361.779396358 1
0.5%
208875.401407257 1
0.5%
206494.821064945 1
0.5%
205060.075601355 1
0.5%
203772.831832169 1
0.5%

Y좌표값
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)94.7%
Missing165
Missing (%)89.7%
Infinite0
Infinite (%)0.0%
Mean437733.69
Minimum379973.75
Maximum488284.85
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-11T06:33:47.013635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum379973.75
5-th percentile387384.62
Q1411329.33
median438191.36
Q3464972.83
95-th percentile480410.09
Maximum488284.85
Range108311.1
Interquartile range (IQR)53643.496

Descriptive statistics

Standard deviation32981.074
Coefficient of variation (CV)0.075345065
Kurtosis-1.2039303
Mean437733.69
Median Absolute Deviation (MAD)30255.042
Skewness-0.11954781
Sum8316940.1
Variance1.0877512 × 109
MonotonicityNot monotonic
2023-12-11T06:33:47.141559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
479535.111785912 2
 
1.1%
459251.612882599 1
 
0.5%
470619.109108938 1
 
0.5%
415317.593988416 1
 
0.5%
405905.580491458 1
 
0.5%
407341.074013984 1
 
0.5%
388208.048761482 1
 
0.5%
379973.745991085 1
 
0.5%
468446.402412888 1
 
0.5%
404499.008474692 1
 
0.5%
Other values (8) 8
 
4.3%
(Missing) 165
89.7%
ValueCountFrequency (%)
379973.745991085 1
0.5%
388208.048761482 1
0.5%
404499.008474692 1
0.5%
405905.580491458 1
0.5%
407341.074013984 1
0.5%
415317.593988416 1
0.5%
416501.699707548 1
0.5%
419882.843454372 1
0.5%
433474.488173333 1
0.5%
438191.360659881 1
0.5%
ValueCountFrequency (%)
488284.850966578 1
0.5%
479535.111785912 2
1.1%
470619.109108938 1
0.5%
468446.402412888 1
0.5%
461499.258113904 1
0.5%
459251.612882599 1
0.5%
454907.121955254 1
0.5%
445566.118309454 1
0.5%
438191.360659881 1
0.5%
433474.488173333 1
0.5%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
영화상영업
184 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영화상영업 184
100.0%

Length

2023-12-11T06:33:47.258153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:33:47.366606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영화상영업 184
100.0%

총층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
167 
0
17 

Length

Max length4
Median length4
Mean length3.7228261
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 167
90.8%
0 17
 
9.2%

Length

2023-12-11T06:33:47.474854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:33:47.596846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 167
90.8%
0 17
 
9.2%

주변환경명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing184
Missing (%)100.0%
Memory size1.7 KiB

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing184
Missing (%)100.0%
Memory size1.7 KiB

지상층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
167 
0
17 

Length

Max length4
Median length4
Mean length3.7228261
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 167
90.8%
0 17
 
9.2%

Length

2023-12-11T06:33:47.768850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:33:47.895758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 167
90.8%
0 17
 
9.2%

지하층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
167 
0
17 

Length

Max length4
Median length4
Mean length3.7228261
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 167
90.8%
0 17
 
9.2%

Length

2023-12-11T06:33:48.014797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:33:48.134132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 167
90.8%
0 17
 
9.2%

조명시설조도량
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
167 
0
17 

Length

Max length4
Median length4
Mean length3.7228261
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 167
90.8%
0 17
 
9.2%

Length

2023-12-11T06:33:48.259419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:33:48.384357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 167
90.8%
0 17
 
9.2%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
167 
0
17 

Length

Max length4
Median length4
Mean length3.7228261
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 167
90.8%
0 17
 
9.2%

Length

2023-12-11T06:33:48.549779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:33:48.680438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 167
90.8%
0 17
 
9.2%

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing184
Missing (%)100.0%
Memory size1.7 KiB

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
167 
0
17 

Length

Max length4
Median length4
Mean length3.7228261
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 167
90.8%
0 17
 
9.2%

Length

2023-12-11T06:33:48.830756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:33:48.957848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 167
90.8%
0 17
 
9.2%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing184
Missing (%)100.0%
Memory size1.7 KiB

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing184
Missing (%)100.0%
Memory size1.7 KiB

Sample

시군명사업장명인허가일자인허가취소일자영업상태구분코드영업상태명폐업일자소재지시설전화번호소재지면적정보도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도업태구분명정보X좌표값Y좌표값문화체육업종명총층수주변환경명제작취급품목내용지상층수지하층수조명시설조도량노래방실수소방시설여부총게임기수기존게임업외업종명제공게임물명
0가평군사단법인 가평음악문화발전협의회2023-07-18<NA>13영업중<NA>031-585-0705<NA>12438경기도 가평군 조종면 청군로 1270, 청소년문화의집, 조종시네마 3층경기도 가평군 조종면 현리 410-6 청소년문화의집, 조종시네마1243837.817847127.347763<NA>230588.199466479535.111786영화상영업0<NA><NA>0000<NA>0<NA><NA>
1가평군주식회사 댕스코2021-12-09<NA>3폐업2023-07-24<NA><NA>12438경기도 가평군 조종면 청군로 1270경기도 가평군 조종면 현리 410-61243837.817847127.347763<NA>230588.199466479535.111786영화상영업0<NA><NA>0000<NA>0<NA><NA>
2고양시메가박스 킨텍스점20100904<NA><NA>운영중<NA><NA><NA><NA>경기도 고양시 일산서구 호수로 817 (대화동,현대백화점 레이킨스몰 3층)경기도 고양시 일산서구 대화동 2602번지 현대백화점 레이킨스몰 3층41141037.667979126.751624<NA><NA><NA>영화상영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3고양시메가박스 일산관20070627<NA><NA>운영중<NA><NA><NA><NA>경기도 고양시 일산서구 덕이로 20, 101호 (덕이동,가동 지하)경기도 고양시 일산서구 덕이동 219-8번지 가동 지하 101호1023737.689869126.756894<NA><NA><NA>영화상영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
4고양시(주)씨네콰논코리아20050803<NA><NA>운영중<NA><NA><NA><NA>경기도 고양시 덕양구 화정로 65, 320호 (화정동,한화오벨리스크)경기도 고양시 덕양구 화정동 965번지 한화오벨리스크 320호1049737.634994126.833456<NA><NA><NA>영화상영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
5고양시중앙아트19990920<NA><NA>운영중<NA><NA><NA><NA>경기도 고양시 덕양구 백양로 126경기도 고양시 덕양구 화정동 961번지 부영아파트 1106동 1201호41282737.636479126.836242<NA><NA><NA>영화상영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
6고양시열린영화19991015<NA><NA>운영중<NA><NA><NA><NA>경기도 고양시 덕양구 호국로742번길 38경기도 고양시 덕양구 성사동 신원당6단지아파트 605동 1501호41271237.651541126.834736<NA><NA><NA>영화상영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
7고양시(주) 미니픽처스20160726<NA><NA>운영중<NA><NA><NA><NA>경기도 고양시 덕양구 고양대로 1393 (성사동)경기도 고양시 덕양구 성사동 704-10번지1046437.654269126.838963<NA><NA><NA>영화상영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8고양시시네피아19990715<NA><NA>운영중<NA><NA><NA><NA>경기도 고양시 덕양구 화정로 52 (화정동,위성스타렉스 5층)경기도 고양시 덕양구 화정동 970번지 위성스타렉스 5층41282737.634361126.831376<NA><NA><NA>영화상영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
9고양시자이안트기획20000207<NA><NA>운영중<NA><NA><NA><NA>경기도 고양시 일산서구 대산로226번길 15-10 (대화동)경기도 고양시 일산서구 대화동 2134-2번지1037037.679943126.753591<NA><NA><NA>영화상영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
시군명사업장명인허가일자인허가취소일자영업상태구분코드영업상태명폐업일자소재지시설전화번호소재지면적정보도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도업태구분명정보X좌표값Y좌표값문화체육업종명총층수주변환경명제작취급품목내용지상층수지하층수조명시설조도량노래방실수소방시설여부총게임기수기존게임업외업종명제공게임물명
174화성시(주)동그랑2023-08-31<NA>13영업중<NA><NA><NA>18497경기도 화성시 동탄대로5길 9, 더샵 동탄센텀폴리스 2단지 5,6층 5064,5001,6001호 (송동)경기도 화성시 송동 725-1 더샵 동탄센텀폴리스 2단지1849737.167793127.106231<NA>209361.779396407341.074014영화상영업0<NA><NA>0000<NA>0<NA><NA>
175화성시현대자동차 남양연구소 시네마2023-05-01<NA>13영업중<NA>031-368-5558<NA>18280경기도 화성시 남양읍 현대연구소로 150경기도 화성시 남양읍 장덕리 772-11828037.159401126.813508<NA>183629.624815405905.580491영화상영업0<NA><NA>0000<NA>0<NA><NA>
176화성시(주)공룡알픽처스2013-10-11<NA>13영업중<NA><NA><NA>18547경기도 화성시 송산면 공룡로241번길 62-2, 1층경기도 화성시 송산면 쌍정리 73-5 1층1854737.239558126.728011<NA>175792.246342415317.593988영화상영업0<NA><NA>0000<NA>0<NA><NA>
177화성시시네마캠프 경기지사20070409<NA><NA>운영중<NA><NA><NA><NA>경기도 화성시 팔탄면 푸른들판로 452-9경기도 화성시 팔탄면 구장리 1015-1번지44591537.148963126.89995<NA><NA><NA>영화상영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
178화성시CGV동탄역20180322<NA><NA>운영중<NA><NA><NA><NA>경기도 화성시 동탄대로 537, 5-7층 (오산동)경기도 화성시 오산동 967-150번지1847837.202226127.097927<NA><NA><NA>영화상영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
179화성시(재)화성시문화재단20170302<NA><NA>운영중<NA><NA><NA><NA>경기도 화성시 남양읍 시청로 155 (화성서부복합문화센터)경기도 화성시 남양읍 남양리 2147번지1827437.198915126.828656<NA><NA><NA>영화상영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
180화성시주형은시네마(주)20090211<NA><NA>운영중<NA><NA><NA><NA>경기도 화성시 효행로 1052경기도 화성시 병점동 844-1번지 씨네샤르망 에이-80144536037.213932127.042481<NA><NA><NA>영화상영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
181화성시시네마월드필름20070807<NA><NA>운영중<NA><NA><NA><NA><NA>경기도 화성시 남양읍 남양리 1852-58번지 남흥빌딩 2층44501037.19777126.827553<NA><NA><NA>영화상영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
182화성시동탄시네스타 주식회사20100628<NA><NA>운영중<NA><NA><NA><NA>경기도 화성시 동탄지성로 11 (반송동)경기도 화성시 반송동 93-2번지1845437.204518127.072785<NA><NA><NA>영화상영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
183화성시케이티이(주)20160816<NA><NA>폐업 등20171213<NA><NA><NA>경기도 화성시 향남읍 상신하길로298번길 7-21, 701호경기도 화성시 향남읍 하길리 1470-2번지1861137.11516126.912463<NA><NA><NA>영화상영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>