Overview

Dataset statistics

Number of variables45
Number of observations1610
Missing cells39421
Missing cells (%)54.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory614.9 KiB
Average record size in memory391.1 B

Variable types

Categorical12
Text7
DateTime2
Unsupported16
Numeric8

Dataset

Description게임물 제작업체 현황
Author행정안전부
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=2482O401THD1QT6R6JQ31811758&infSeq=1

Alerts

영업상태구분코드 is highly imbalanced (72.7%)Imbalance
문화체육업종명 is highly imbalanced (98.6%)Imbalance
문화사업자구분명 is highly imbalanced (98.6%)Imbalance
주변환경명 is highly imbalanced (97.2%)Imbalance
지하층수 is highly imbalanced (78.8%)Imbalance
통로너비 is highly imbalanced (53.5%)Imbalance
조명시설조도량 is highly imbalanced (53.5%)Imbalance
노래방실수 is highly imbalanced (53.5%)Imbalance
청소년실수 is highly imbalanced (53.5%)Imbalance
총게임기수 is highly imbalanced (53.5%)Imbalance
인허가취소일자 has 1610 (100.0%) missing valuesMissing
폐업일자 has 1200 (74.5%) missing valuesMissing
소재지시설전화번호 has 1583 (98.3%) missing valuesMissing
소재지면적정보 has 1610 (100.0%) missing valuesMissing
도로명우편번호 has 1439 (89.4%) missing valuesMissing
소재지도로명주소 has 36 (2.2%) missing valuesMissing
소재지우편번호 has 165 (10.2%) missing valuesMissing
WGS84위도 has 198 (12.3%) missing valuesMissing
WGS84경도 has 198 (12.3%) missing valuesMissing
업태구분명정보 has 1610 (100.0%) missing valuesMissing
X좌표값 has 1438 (89.3%) missing valuesMissing
Y좌표값 has 1438 (89.3%) missing valuesMissing
총층수 has 1450 (90.1%) missing valuesMissing
제작취급품목내용 has 32 (2.0%) missing valuesMissing
시설면적 has 1430 (88.8%) missing valuesMissing
지상층수 has 1450 (90.1%) missing valuesMissing
건물용도명 has 1603 (99.6%) missing valuesMissing
비상계단여부 has 1610 (100.0%) missing valuesMissing
비상구여부 has 1610 (100.0%) missing valuesMissing
자동환기여부 has 1610 (100.0%) missing valuesMissing
청소년실여부 has 1610 (100.0%) missing valuesMissing
특수조명여부 has 1610 (100.0%) missing valuesMissing
방음시설여부 has 1610 (100.0%) missing valuesMissing
비디오재생기명 has 1610 (100.0%) missing valuesMissing
조명시설유무 has 1610 (100.0%) missing valuesMissing
음향시설여부 has 1610 (100.0%) missing valuesMissing
편의시설여부 has 1610 (100.0%) missing valuesMissing
소방시설여부 has 1610 (100.0%) missing valuesMissing
기존게임업외업종명 has 1610 (100.0%) missing valuesMissing
공연장형태구분명 has 1610 (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
비상계단여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상구여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
자동환기여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
청소년실여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
특수조명여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방음시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비디오재생기명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
조명시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
음향시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
편의시설여부 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
공연장형태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
총층수 has 152 (9.4%) zerosZeros
지상층수 has 152 (9.4%) zerosZeros

Reproduction

Analysis started2023-12-10 22:47:38.725193
Analysis finished2023-12-10 22:47:40.222400
Duration1.5 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

Distinct28
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size12.7 KiB
성남시
529 
고양시
184 
부천시
160 
안양시
109 
안산시
105 
Other values (23)
523 

Length

Max length4
Median length3
Mean length3.0347826
Min length3

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
성남시 529
32.9%
고양시 184
 
11.4%
부천시 160
 
9.9%
안양시 109
 
6.8%
안산시 105
 
6.5%
수원시 88
 
5.5%
파주시 75
 
4.7%
포천시 62
 
3.9%
용인시 47
 
2.9%
시흥시 37
 
2.3%
Other values (18) 214
13.3%

Length

2023-12-11T07:47:40.290424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
성남시 529
32.9%
고양시 184
 
11.4%
부천시 160
 
9.9%
안양시 109
 
6.8%
안산시 105
 
6.5%
수원시 88
 
5.5%
파주시 75
 
4.7%
포천시 62
 
3.9%
용인시 47
 
2.9%
시흥시 37
 
2.3%
Other values (18) 214
13.3%

사업장명
Text

Distinct1544
Distinct (%)95.9%
Missing0
Missing (%)0.0%
Memory size12.7 KiB
2023-12-11T07:47:40.566924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length33
Mean length7.378882
Min length2

Characters and Unicode

Total characters11880
Distinct characters568
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1483 ?
Unique (%)92.1%

Sample

1st row(주)에이치앤에이치소프트
2nd row비앤비 인터내셔날
3rd row데브텐
4th row주식회사 페퍼로니콘
5th row주식회사 넥스넷
ValueCountFrequency (%)
주식회사 191
 
9.2%
소프트 51
 
2.5%
주 28
 
1.3%
soft 12
 
0.6%
스튜디오 12
 
0.6%
엔터테인먼트 10
 
0.5%
korea 8
 
0.4%
게임즈 7
 
0.3%
games 5
 
0.2%
전자 5
 
0.2%
Other values (1628) 1746
84.1%
2023-12-11T07:47:41.072168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 781
 
6.6%
) 634
 
5.3%
( 624
 
5.3%
465
 
3.9%
이 438
 
3.7%
스 404
 
3.4%
트 377
 
3.2%
프 288
 
2.4%
소 250
 
2.1%
사 231
 
1.9%
Other values (558) 7388
62.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9153
77.0%
Close Punctuation 634
 
5.3%
Open Punctuation 624
 
5.3%
Uppercase Letter 607
 
5.1%
Space Separator 465
 
3.9%
Lowercase Letter 314
 
2.6%
Other Punctuation 45
 
0.4%
Decimal Number 26
 
0.2%
Dash Punctuation 8
 
0.1%
Other Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 781
 
8.5%
이 438
 
4.8%
스 404
 
4.4%
트 377
 
4.1%
프 288
 
3.1%
소 250
 
2.7%
사 231
 
2.5%
회 208
 
2.3%
식 204
 
2.2%
게 156
 
1.7%
Other values (491) 5816
63.5%
Uppercase Letter
ValueCountFrequency (%)
S 73
 
12.0%
O 45
 
7.4%
M 44
 
7.2%
E 39
 
6.4%
T 38
 
6.3%
A 37
 
6.1%
G 35
 
5.8%
K 33
 
5.4%
J 27
 
4.4%
N 25
 
4.1%
Other values (16) 211
34.8%
Lowercase Letter
ValueCountFrequency (%)
o 42
13.4%
e 36
11.5%
t 33
10.5%
n 29
 
9.2%
a 22
 
7.0%
i 21
 
6.7%
r 20
 
6.4%
s 15
 
4.8%
u 12
 
3.8%
l 11
 
3.5%
Other values (11) 73
23.2%
Decimal Number
ValueCountFrequency (%)
2 6
23.1%
0 4
15.4%
1 3
11.5%
3 3
11.5%
8 3
11.5%
6 2
 
7.7%
7 2
 
7.7%
9 2
 
7.7%
5 1
 
3.8%
Other Punctuation
ValueCountFrequency (%)
. 26
57.8%
& 12
26.7%
· 4
 
8.9%
, 3
 
6.7%
Math Symbol
ValueCountFrequency (%)
< 1
50.0%
> 1
50.0%
Close Punctuation
ValueCountFrequency (%)
) 634
100.0%
Open Punctuation
ValueCountFrequency (%)
( 624
100.0%
Space Separator
ValueCountFrequency (%)
465
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9155
77.1%
Common 1804
 
15.2%
Latin 921
 
7.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 781
 
8.5%
이 438
 
4.8%
스 404
 
4.4%
트 377
 
4.1%
프 288
 
3.1%
소 250
 
2.7%
사 231
 
2.5%
회 208
 
2.3%
식 204
 
2.2%
게 156
 
1.7%
Other values (492) 5818
63.5%
Latin
ValueCountFrequency (%)
S 73
 
7.9%
O 45
 
4.9%
M 44
 
4.8%
o 42
 
4.6%
E 39
 
4.2%
T 38
 
4.1%
A 37
 
4.0%
e 36
 
3.9%
G 35
 
3.8%
K 33
 
3.6%
Other values (37) 499
54.2%
Common
ValueCountFrequency (%)
) 634
35.1%
( 624
34.6%
465
25.8%
. 26
 
1.4%
& 12
 
0.7%
- 8
 
0.4%
2 6
 
0.3%
0 4
 
0.2%
· 4
 
0.2%
1 3
 
0.2%
Other values (9) 18
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9153
77.0%
ASCII 2721
 
22.9%
None 6
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 781
 
8.5%
이 438
 
4.8%
스 404
 
4.4%
트 377
 
4.1%
프 288
 
3.1%
소 250
 
2.7%
사 231
 
2.5%
회 208
 
2.3%
식 204
 
2.2%
게 156
 
1.7%
Other values (491) 5816
63.5%
ASCII
ValueCountFrequency (%)
) 634
23.3%
( 624
22.9%
465
17.1%
S 73
 
2.7%
O 45
 
1.7%
M 44
 
1.6%
o 42
 
1.5%
E 39
 
1.4%
T 38
 
1.4%
A 37
 
1.4%
Other values (55) 680
25.0%
None
ValueCountFrequency (%)
· 4
66.7%
㈜ 2
33.3%

인허가일자
Date

Distinct1274
Distinct (%)79.1%
Missing0
Missing (%)0.0%
Memory size12.7 KiB
Minimum1994-05-20 00:00:00
Maximum2023-12-01 00:00:00
2023-12-11T07:47:41.210243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:47:41.351518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1610
Missing (%)100.0%
Memory size14.3 KiB

영업상태구분코드
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size12.7 KiB
<NA>
1430 
13
 
138
15
 
18
3
 
14
35
 
10

Length

Max length4
Median length4
Mean length3.7677019
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1430
88.8%
13 138
 
8.6%
15 18
 
1.1%
3 14
 
0.9%
35 10
 
0.6%

Length

2023-12-11T07:47:41.475578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:47:41.606056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1430
88.8%
13 138
 
8.6%
15 18
 
1.1%
3 14
 
0.9%
35 10
 
0.6%

영업상태명
Categorical

Distinct6
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size12.7 KiB
운영중
1059 
폐업 등
371 
영업중
138 
전출
 
18
폐업
 
14

Length

Max length4
Median length3
Mean length3.2167702
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
운영중 1059
65.8%
폐업 등 371
 
23.0%
영업중 138
 
8.6%
전출 18
 
1.1%
폐업 14
 
0.9%
직권말소 10
 
0.6%

Length

2023-12-11T07:47:41.724809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:47:41.884711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
운영중 1059
53.5%
폐업 385
 
19.4%
등 371
 
18.7%
영업중 138
 
7.0%
전출 18
 
0.9%
직권말소 10
 
0.5%

폐업일자
Date

MISSING 

Distinct314
Distinct (%)76.6%
Missing1200
Missing (%)74.5%
Memory size12.7 KiB
Minimum2006-02-03 00:00:00
Maximum2023-12-01 00:00:00
2023-12-11T07:47:42.018352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:47:42.201094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

소재지시설전화번호
Text

MISSING 

Distinct27
Distinct (%)100.0%
Missing1583
Missing (%)98.3%
Memory size12.7 KiB
2023-12-11T07:47:42.428490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.703704
Min length8

Characters and Unicode

Total characters316
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

Unique27 ?
Unique (%)100.0%

Sample

1st row07040098808
2nd row031-391-1006
3rd row0315702942
4th row032-555-8882
5th row070-8243-2397
ValueCountFrequency (%)
07040098808 1
 
3.7%
031-8057-0333 1
 
3.7%
945-8383 1
 
3.7%
948-5490 1
 
3.7%
02-2633-2644 1
 
3.7%
031-942-9554 1
 
3.7%
947-4523 1
 
3.7%
070-4354-0803 1
 
3.7%
07043660198 1
 
3.7%
070-4741-1911 1
 
3.7%
Other values (17) 17
63.0%
2023-12-11T07:47:42.796960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 64
20.3%
- 45
14.2%
3 35
11.1%
8 27
8.5%
1 27
8.5%
4 25
 
7.9%
7 22
 
7.0%
9 20
 
6.3%
2 20
 
6.3%
6 16
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 271
85.8%
Dash Punctuation 45
 
14.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 64
23.6%
3 35
12.9%
8 27
10.0%
1 27
10.0%
4 25
 
9.2%
7 22
 
8.1%
9 20
 
7.4%
2 20
 
7.4%
6 16
 
5.9%
5 15
 
5.5%
Dash Punctuation
ValueCountFrequency (%)
- 45
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 316
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 64
20.3%
- 45
14.2%
3 35
11.1%
8 27
8.5%
1 27
8.5%
4 25
 
7.9%
7 22
 
7.0%
9 20
 
6.3%
2 20
 
6.3%
6 16
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 316
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 64
20.3%
- 45
14.2%
3 35
11.1%
8 27
8.5%
1 27
8.5%
4 25
 
7.9%
7 22
 
7.0%
9 20
 
6.3%
2 20
 
6.3%
6 16
 
5.1%

소재지면적정보
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1610
Missing (%)100.0%
Memory size14.3 KiB

도로명우편번호
Text

MISSING 

Distinct111
Distinct (%)64.9%
Missing1439
Missing (%)89.4%
Memory size12.7 KiB
2023-12-11T07:47:43.076905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.0233918
Min length5

Characters and Unicode

Total characters859
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

Unique94 ?
Unique (%)55.0%

Sample

1st row10543
2nd row10317
3rd row10297
4th row10576
5th row10543
ValueCountFrequency (%)
13487 17
 
9.9%
13449 13
 
7.6%
13591 7
 
4.1%
13493 6
 
3.5%
13524 5
 
2.9%
14057 3
 
1.8%
14055 3
 
1.8%
13494 3
 
1.8%
13558 3
 
1.8%
13595 3
 
1.8%
Other values (101) 108
63.2%
2023-12-11T07:47:43.510324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 215
25.0%
4 115
13.4%
3 112
13.0%
5 81
 
9.4%
7 65
 
7.6%
9 65
 
7.6%
8 61
 
7.1%
0 58
 
6.8%
2 45
 
5.2%
6 40
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 857
99.8%
Dash Punctuation 2
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 215
25.1%
4 115
13.4%
3 112
13.1%
5 81
 
9.5%
7 65
 
7.6%
9 65
 
7.6%
8 61
 
7.1%
0 58
 
6.8%
2 45
 
5.3%
6 40
 
4.7%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 859
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 215
25.0%
4 115
13.4%
3 112
13.0%
5 81
 
9.4%
7 65
 
7.6%
9 65
 
7.6%
8 61
 
7.1%
0 58
 
6.8%
2 45
 
5.2%
6 40
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 859
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 215
25.0%
4 115
13.4%
3 112
13.0%
5 81
 
9.4%
7 65
 
7.6%
9 65
 
7.6%
8 61
 
7.1%
0 58
 
6.8%
2 45
 
5.2%
6 40
 
4.7%

소재지도로명주소
Text

MISSING 

Distinct1386
Distinct (%)88.1%
Missing36
Missing (%)2.2%
Memory size12.7 KiB
2023-12-11T07:47:43.788262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length64
Median length48
Mean length37.010801
Min length15

Characters and Unicode

Total characters58255
Distinct characters509
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

Unique1254 ?
Unique (%)79.7%

Sample

1st row경기도 고양시 덕양구 청초로 **, 상가동 ***~***호, A동 ****~****호 (덕은동)
2nd row경기도 고양시 일산동구 견달산로***번길 **-**, *층,*층 (식사동)
3rd row경기도 고양시 덕양구 마상로**번길 ***, ***동 ****호 (주교동, 우인아크리움빌아파트)
4th row경기도 고양시 덕양구 오금로 ***, ***동 *호 (오금동)
5th row경기도 고양시 덕양구 청초로 **, A동 ****호 (덕은동)
ValueCountFrequency (%)
1605
 
14.2%
경기도 1574
 
14.0%
호 858
 
7.6%
성남시 523
 
4.6%
분당구 443
 
3.9%
층 301
 
2.7%
삼평동 203
 
1.8%
고양시 179
 
1.6%
부천시 158
 
1.4%
동 153
 
1.4%
Other values (1847) 5268
46.8%
2023-12-11T07:47:44.262761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 10194
17.5%
10159
17.4%
동 2048
 
3.5%
, 1938
 
3.3%
시 1727
 
3.0%
기 1670
 
2.9%
경 1654
 
2.8%
도 1603
 
2.8%
로 1528
 
2.6%
) 1434
 
2.5%
Other values (499) 24300
41.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 32411
55.6%
Other Punctuation 12142
 
20.8%
Space Separator 10159
 
17.4%
Close Punctuation 1434
 
2.5%
Open Punctuation 1434
 
2.5%
Dash Punctuation 367
 
0.6%
Uppercase Letter 279
 
0.5%
Lowercase Letter 24
 
< 0.1%
Math Symbol 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 2048
 
6.3%
시 1727
 
5.3%
기 1670
 
5.2%
경 1654
 
5.1%
도 1603
 
4.9%
로 1528
 
4.7%
구 1093
 
3.4%
호 1021
 
3.2%
길 734
 
2.3%
성 699
 
2.2%
Other values (453) 18634
57.5%
Uppercase Letter
ValueCountFrequency (%)
B 66
23.7%
A 45
16.1%
I 25
 
9.0%
C 23
 
8.2%
T 16
 
5.7%
S 14
 
5.0%
K 12
 
4.3%
G 10
 
3.6%
R 9
 
3.2%
D 8
 
2.9%
Other values (15) 51
18.3%
Lowercase Letter
ValueCountFrequency (%)
e 6
25.0%
c 5
20.8%
n 3
12.5%
b 3
12.5%
t 2
 
8.3%
r 2
 
8.3%
k 1
 
4.2%
a 1
 
4.2%
s 1
 
4.2%
Other Punctuation
ValueCountFrequency (%)
* 10194
84.0%
, 1938
 
16.0%
. 4
 
< 0.1%
& 3
 
< 0.1%
/ 2
 
< 0.1%
@ 1
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
~ 4
80.0%
∥ 1
 
20.0%
Space Separator
ValueCountFrequency (%)
10159
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1434
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1434
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 367
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 32411
55.6%
Common 25541
43.8%
Latin 303
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 2048
 
6.3%
시 1727
 
5.3%
기 1670
 
5.2%
경 1654
 
5.1%
도 1603
 
4.9%
로 1528
 
4.7%
구 1093
 
3.4%
호 1021
 
3.2%
길 734
 
2.3%
성 699
 
2.2%
Other values (453) 18634
57.5%
Latin
ValueCountFrequency (%)
B 66
21.8%
A 45
14.9%
I 25
 
8.3%
C 23
 
7.6%
T 16
 
5.3%
S 14
 
4.6%
K 12
 
4.0%
G 10
 
3.3%
R 9
 
3.0%
D 8
 
2.6%
Other values (24) 75
24.8%
Common
ValueCountFrequency (%)
* 10194
39.9%
10159
39.8%
, 1938
 
7.6%
) 1434
 
5.6%
( 1434
 
5.6%
- 367
 
1.4%
. 4
 
< 0.1%
~ 4
 
< 0.1%
& 3
 
< 0.1%
/ 2
 
< 0.1%
Other values (2) 2
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 32411
55.6%
ASCII 25843
44.4%
Math Operators 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 10194
39.4%
10159
39.3%
, 1938
 
7.5%
) 1434
 
5.5%
( 1434
 
5.5%
- 367
 
1.4%
B 66
 
0.3%
A 45
 
0.2%
I 25
 
0.1%
C 23
 
0.1%
Other values (35) 158
 
0.6%
Hangul
ValueCountFrequency (%)
동 2048
 
6.3%
시 1727
 
5.3%
기 1670
 
5.2%
경 1654
 
5.1%
도 1603
 
4.9%
로 1528
 
4.7%
구 1093
 
3.4%
호 1021
 
3.2%
길 734
 
2.3%
성 699
 
2.2%
Other values (453) 18634
57.5%
Math Operators
ValueCountFrequency (%)
∥ 1
100.0%

소재지지번주소
Text

Distinct1296
Distinct (%)80.5%
Missing1
Missing (%)0.1%
Memory size12.7 KiB
2023-12-11T07:47:44.609095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length42
Mean length29.036669
Min length10

Characters and Unicode

Total characters46720
Distinct characters457
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

Unique1135 ?
Unique (%)70.5%

Sample

1st row경기도 고양시 덕양구 덕은동 * 상가동 ***~***호, A동 ****~****호
2nd row경기도 고양시 일산동구 식사동 ***-** *층,*층
3rd row경기도 고양시 덕양구 주교동 **** 우인아크리움빌아파트
4th row경기도 고양시 덕양구 오금동 ***
5th row경기도 고양시 덕양구 덕은동 * A동 ****호
ValueCountFrequency (%)
경기도 1609
 
16.4%
번지 1393
 
14.2%
호 671
 
6.8%
성남시 529
 
5.4%
분당구 444
 
4.5%
220
 
2.2%
삼평동 203
 
2.1%
층 197
 
2.0%
고양시 184
 
1.9%
부천시 160
 
1.6%
Other values (1139) 4212
42.9%
2023-12-11T07:47:45.111544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 9116
19.5%
8351
17.9%
동 1927
 
4.1%
시 1700
 
3.6%
기 1680
 
3.6%
경 1656
 
3.5%
도 1630
 
3.5%
지 1508
 
3.2%
번 1393
 
3.0%
구 1099
 
2.4%
Other values (447) 16660
35.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 27961
59.8%
Other Punctuation 9162
 
19.6%
Space Separator 8351
 
17.9%
Dash Punctuation 998
 
2.1%
Uppercase Letter 188
 
0.4%
Lowercase Letter 20
 
< 0.1%
Open Punctuation 19
 
< 0.1%
Close Punctuation 19
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 1927
 
6.9%
시 1700
 
6.1%
기 1680
 
6.0%
경 1656
 
5.9%
도 1630
 
5.8%
지 1508
 
5.4%
번 1393
 
5.0%
구 1099
 
3.9%
호 766
 
2.7%
성 632
 
2.3%
Other values (405) 13970
50.0%
Uppercase Letter
ValueCountFrequency (%)
B 44
23.4%
A 25
13.3%
C 16
 
8.5%
I 16
 
8.5%
T 15
 
8.0%
K 11
 
5.9%
S 10
 
5.3%
G 6
 
3.2%
E 6
 
3.2%
R 5
 
2.7%
Other values (14) 34
18.1%
Lowercase Letter
ValueCountFrequency (%)
e 6
30.0%
c 4
20.0%
n 3
15.0%
r 2
 
10.0%
t 2
 
10.0%
k 1
 
5.0%
s 1
 
5.0%
a 1
 
5.0%
Other Punctuation
ValueCountFrequency (%)
* 9116
99.5%
, 42
 
0.5%
/ 2
 
< 0.1%
@ 1
 
< 0.1%
. 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
8351
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 998
100.0%
Open Punctuation
ValueCountFrequency (%)
( 19
100.0%
Close Punctuation
ValueCountFrequency (%)
) 19
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 27961
59.8%
Common 18551
39.7%
Latin 208
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 1927
 
6.9%
시 1700
 
6.1%
기 1680
 
6.0%
경 1656
 
5.9%
도 1630
 
5.8%
지 1508
 
5.4%
번 1393
 
5.0%
구 1099
 
3.9%
호 766
 
2.7%
성 632
 
2.3%
Other values (405) 13970
50.0%
Latin
ValueCountFrequency (%)
B 44
21.2%
A 25
12.0%
C 16
 
7.7%
I 16
 
7.7%
T 15
 
7.2%
K 11
 
5.3%
S 10
 
4.8%
G 6
 
2.9%
E 6
 
2.9%
e 6
 
2.9%
Other values (22) 53
25.5%
Common
ValueCountFrequency (%)
* 9116
49.1%
8351
45.0%
- 998
 
5.4%
, 42
 
0.2%
( 19
 
0.1%
) 19
 
0.1%
~ 2
 
< 0.1%
/ 2
 
< 0.1%
@ 1
 
< 0.1%
. 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 27961
59.8%
ASCII 18759
40.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 9116
48.6%
8351
44.5%
- 998
 
5.3%
B 44
 
0.2%
, 42
 
0.2%
A 25
 
0.1%
( 19
 
0.1%
) 19
 
0.1%
C 16
 
0.1%
I 16
 
0.1%
Other values (32) 113
 
0.6%
Hangul
ValueCountFrequency (%)
동 1927
 
6.9%
시 1700
 
6.1%
기 1680
 
6.0%
경 1656
 
5.9%
도 1630
 
5.8%
지 1508
 
5.4%
번 1393
 
5.0%
구 1099
 
3.9%
호 766
 
2.7%
성 632
 
2.3%
Other values (405) 13970
50.0%

소재지우편번호
Real number (ℝ)

MISSING 

Distinct712
Distinct (%)49.3%
Missing165
Missing (%)10.2%
Infinite0
Infinite (%)0.0%
Mean89117.534
Minimum10029
Maximum487832
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size14.3 KiB
2023-12-11T07:47:45.282301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10029
5-th percentile10401
Q113311
median13814
Q316274
95-th percentile463824.8
Maximum487832
Range477803
Interquartile range (IQR)2963

Descriptive statistics

Standard deviation164529.13
Coefficient of variation (CV)1.8462037
Kurtosis0.99673184
Mean89117.534
Median Absolute Deviation (MAD)1681
Skewness1.7239866
Sum1.2877484 × 108
Variance2.7069833 × 1010
MonotonicityNot monotonic
2023-12-11T07:47:45.463622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13487 74
 
4.6%
13493 39
 
2.4%
13591 34
 
2.1%
13494 26
 
1.6%
13595 26
 
1.6%
14557 18
 
1.1%
13486 18
 
1.1%
13558 18
 
1.1%
10403 16
 
1.0%
10402 16
 
1.0%
Other values (702) 1160
72.0%
(Missing) 165
 
10.2%
ValueCountFrequency (%)
10029 1
 
0.1%
10040 1
 
0.1%
10047 2
0.1%
10048 1
 
0.1%
10049 4
0.2%
10055 1
 
0.1%
10105 1
 
0.1%
10106 1
 
0.1%
10110 1
 
0.1%
10129 1
 
0.1%
ValueCountFrequency (%)
487832 3
0.2%
487826 1
 
0.1%
487818 1
 
0.1%
487817 1
 
0.1%
487816 1
 
0.1%
487814 2
 
0.1%
487813 5
0.3%
487010 1
 
0.1%
480848 2
 
0.1%
472902 1
 
0.1%

WGS84위도
Real number (ℝ)

MISSING 

Distinct964
Distinct (%)68.3%
Missing198
Missing (%)12.3%
Infinite0
Infinite (%)0.0%
Mean37.469765
Minimum36.976991
Maximum37.969845
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size14.3 KiB
2023-12-11T07:47:45.624388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.976991
5-th percentile37.266275
Q137.373523
median37.402354
Q337.603866
95-th percentile37.789769
Maximum37.969845
Range0.99285404
Interquartile range (IQR)0.23034342

Descriptive statistics

Standard deviation0.16247356
Coefficient of variation (CV)0.0043361243
Kurtosis-0.12791089
Mean37.469765
Median Absolute Deviation (MAD)0.084747032
Skewness0.64157762
Sum52907.309
Variance0.026397658
MonotonicityNot monotonic
2023-12-11T07:47:45.787553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.4012858766 21
 
1.3%
37.3851007981 18
 
1.1%
37.4004142132 16
 
1.0%
37.4003481203 16
 
1.0%
37.5015441631 16
 
1.0%
37.4002464768 15
 
0.9%
37.4005799752 11
 
0.7%
37.4023543451 11
 
0.7%
37.366142335 9
 
0.6%
37.4024993827 9
 
0.6%
Other values (954) 1270
78.9%
(Missing) 198
 
12.3%
ValueCountFrequency (%)
36.976990875 1
0.1%
36.9912953286 1
0.1%
36.9938135701 1
0.1%
36.9975501837 1
0.1%
37.0146699004 1
0.1%
37.0488495272 1
0.1%
37.0594336634 1
0.1%
37.0732432325 1
0.1%
37.0872402975 1
0.1%
37.0928831653 1
0.1%
ValueCountFrequency (%)
37.9698449168 1
0.1%
37.9440492263 1
0.1%
37.9246765113 1
0.1%
37.9068618465 1
0.1%
37.890716988 1
0.1%
37.8811700617 2
0.1%
37.8565145827 1
0.1%
37.8496643537 1
0.1%
37.8473212623 1
0.1%
37.8472597296 1
0.1%

WGS84경도
Real number (ℝ)

MISSING 

Distinct964
Distinct (%)68.3%
Missing198
Missing (%)12.3%
Infinite0
Infinite (%)0.0%
Mean126.97207
Minimum126.57003
Maximum127.44546
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size14.3 KiB
2023-12-11T07:47:45.990827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.57003
5-th percentile126.7434
Q1126.79348
median127.00159
Q3127.11218
95-th percentile127.2012
Maximum127.44546
Range0.87542971
Interquartile range (IQR)0.31870408

Descriptive statistics

Standard deviation0.1656135
Coefficient of variation (CV)0.0013043302
Kurtosis-1.297173
Mean126.97207
Median Absolute Deviation (MAD)0.13281815
Skewness-0.16839951
Sum179284.56
Variance0.027427833
MonotonicityNot monotonic
2023-12-11T07:47:46.166111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.1104579421 21
 
1.3%
127.1227076252 18
 
1.1%
127.1031297735 16
 
1.0%
127.1049265705 16
 
1.0%
126.7875459075 16
 
1.0%
127.1041814095 15
 
0.9%
127.1068799859 11
 
0.7%
127.1010970709 11
 
0.7%
127.1053883207 9
 
0.6%
127.1121803681 9
 
0.6%
Other values (954) 1270
78.9%
(Missing) 198
 
12.3%
ValueCountFrequency (%)
126.5700260831 1
0.1%
126.5747369926 1
0.1%
126.575357654 1
0.1%
126.57742347 1
0.1%
126.5906154635 1
0.1%
126.5920105312 1
0.1%
126.5939198246 1
0.1%
126.5972805477 1
0.1%
126.6054221559 1
0.1%
126.6111667629 1
0.1%
ValueCountFrequency (%)
127.4454557903 1
0.1%
127.3904806051 1
0.1%
127.3371077923 1
0.1%
127.3153653665 2
0.1%
127.3111172785 1
0.1%
127.3049397659 1
0.1%
127.3036949601 1
0.1%
127.3008255187 1
0.1%
127.2969463148 1
0.1%
127.2709366192 1
0.1%

업태구분명정보
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1610
Missing (%)100.0%
Memory size14.3 KiB

X좌표값
Real number (ℝ)

MISSING 

Distinct132
Distinct (%)76.7%
Missing1438
Missing (%)89.3%
Infinite0
Infinite (%)0.0%
Mean202020.3
Minimum162046.1
Maximum238679.66
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size14.3 KiB
2023-12-11T07:47:46.338782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum162046.1
5-th percentile175591.96
Q1194982.55
median208804.04
Q3210252.4
95-th percentile216513.62
Maximum238679.66
Range76633.562
Interquartile range (IQR)15269.85

Descriptive statistics

Standard deviation13677.863
Coefficient of variation (CV)0.06770539
Kurtosis-0.03025826
Mean202020.3
Median Absolute Deviation (MAD)3963.1804
Skewness-0.85536495
Sum34747491
Variance1.8708393 × 108
MonotonicityNot monotonic
2023-12-11T07:47:46.525769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
209175.219648183 10
 
0.6%
208205.898152936 8
 
0.5%
208804.044640961 6
 
0.4%
210853.833466798 5
 
0.3%
209865.086626851 4
 
0.2%
209796.6963341 3
 
0.2%
213530.174051329 2
 
0.1%
196668.281176927 2
 
0.1%
209061.72441379 2
 
0.1%
209862.061539434 2
 
0.1%
Other values (122) 128
 
8.0%
(Missing) 1438
89.3%
ValueCountFrequency (%)
162046.100528733 1
0.1%
169900.575678815 1
0.1%
170270.381274414 1
0.1%
172726.345938324 1
0.1%
172786.430757636 1
0.1%
173152.921593467 1
0.1%
173882.005062269 1
0.1%
174882.281777347 1
0.1%
175107.769531538 1
0.1%
175988.122173703 1
0.1%
ValueCountFrequency (%)
238679.662523908 1
0.1%
227270.362328953 1
0.1%
220276.286177387 1
0.1%
219719.395622116 1
0.1%
219040.876333067 1
0.1%
218689.745229363 1
0.1%
217919.807743396 1
0.1%
217048.285804714 1
0.1%
216899.922713104 1
0.1%
216197.552708918 1
0.1%

Y좌표값
Real number (ℝ)

MISSING 

Distinct132
Distinct (%)76.7%
Missing1438
Missing (%)89.3%
Infinite0
Infinite (%)0.0%
Mean438995.19
Minimum387628.87
Maximum484475.48
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size14.3 KiB
2023-12-11T07:47:46.731935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum387628.87
5-th percentile413727.23
Q1430591.66
median433190.96
Q3450491.31
95-th percentile475109.66
Maximum484475.48
Range96846.607
Interquartile range (IQR)19899.647

Descriptive statistics

Standard deviation19305.277
Coefficient of variation (CV)0.043976054
Kurtosis0.20977157
Mean438995.19
Median Absolute Deviation (MAD)7030.4102
Skewness0.38797981
Sum75507173
Variance3.726937 × 108
MonotonicityNot monotonic
2023-12-11T07:47:46.890306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
433168.261766989 10
 
0.6%
434416.925187776 8
 
0.5%
433338.85782408 6
 
0.4%
431447.85813153 5
 
0.3%
433190.963698487 4
 
0.2%
432857.5973726 3
 
0.2%
458327.645779041 2
 
0.1%
432902.36534764 2
 
0.1%
433149.952449003 2
 
0.1%
432464.892825759 2
 
0.1%
Other values (122) 128
 
8.0%
(Missing) 1438
89.3%
ValueCountFrequency (%)
387628.874480838 1
0.1%
388645.726840918 1
0.1%
388992.388633511 1
0.1%
393461.38126646 1
0.1%
404253.488018662 1
0.1%
410719.943355576 1
0.1%
411025.004545365 1
0.1%
411519.526668326 1
0.1%
412784.953770889 1
0.1%
414498.178862127 1
0.1%
ValueCountFrequency (%)
484475.481650288 1
0.1%
483912.021859929 1
0.1%
480928.334466388 1
0.1%
478159.253766511 1
0.1%
476563.228975397 1
0.1%
476478.204494828 1
0.1%
475711.72963762 1
0.1%
475531.971657581 1
0.1%
475328.366482559 1
0.1%
474930.71336236 1
0.1%

문화체육업종명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.7 KiB
게임물제작업
1608 
<NA>
 
2

Length

Max length6
Median length6
Mean length5.9975155
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
게임물제작업 1608
99.9%
<NA> 2
 
0.1%

Length

2023-12-11T07:47:47.055203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:47:47.178802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
게임물제작업 1608
99.9%
na 2
 
0.1%

문화사업자구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.7 KiB
유통관련업
1608 
<NA>
 
2

Length

Max length5
Median length5
Mean length4.9987578
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 1608
99.9%
<NA> 2
 
0.1%

Length

2023-12-11T07:47:47.319394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:47:47.439842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 1608
99.9%
na 2
 
0.1%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)4.4%
Missing1450
Missing (%)90.1%
Infinite0
Infinite (%)0.0%
Mean0.5
Minimum0
Maximum34
Zeros152
Zeros (%)9.4%
Negative0
Negative (%)0.0%
Memory size14.3 KiB
2023-12-11T07:47:47.534385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.05
Maximum34
Range34
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.3156765
Coefficient of variation (CV)6.631353
Kurtosis73.770188
Mean0.5
Median Absolute Deviation (MAD)0
Skewness8.2346805
Sum80
Variance10.993711
MonotonicityNot monotonic
2023-12-11T07:47:47.637001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 152
 
9.4%
2 2
 
0.1%
1 2
 
0.1%
6 1
 
0.1%
19 1
 
0.1%
34 1
 
0.1%
15 1
 
0.1%
(Missing) 1450
90.1%
ValueCountFrequency (%)
0 152
9.4%
1 2
 
0.1%
2 2
 
0.1%
6 1
 
0.1%
15 1
 
0.1%
19 1
 
0.1%
34 1
 
0.1%
ValueCountFrequency (%)
34 1
 
0.1%
19 1
 
0.1%
15 1
 
0.1%
6 1
 
0.1%
2 2
 
0.1%
1 2
 
0.1%
0 152
9.4%

주변환경명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size12.7 KiB
<NA>
1603 
기타
 
4
주택가주변
 
3

Length

Max length5
Median length4
Mean length3.9968944
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> 1603
99.6%
기타 4
 
0.2%
주택가주변 3
 
0.2%

Length

2023-12-11T07:47:47.827211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:47:48.250952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1603
99.6%
기타 4
 
0.2%
주택가주변 3
 
0.2%

제작취급품목내용
Text

MISSING 

Distinct503
Distinct (%)31.9%
Missing32
Missing (%)2.0%
Memory size12.7 KiB
2023-12-11T07:47:48.509938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length79
Median length33
Mean length6.4157161
Min length1

Characters and Unicode

Total characters10124
Distinct characters288
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique407 ?
Unique (%)25.8%

Sample

1st row온라인,모바일게임
2nd row경품뽑기게임기
3rd row모바일 게임
4th row게임 소프트웨어
5th row온라인게임,모바일게임
ValueCountFrequency (%)
게임물 485
22.2%
게임 219
 
10.0%
모바일게임 117
 
5.4%
온라인게임 87
 
4.0%
모바일 71
 
3.3%
게임기 62
 
2.8%
소프트웨어 62
 
2.8%
및 56
 
2.6%
온라인 54
 
2.5%
아케이드 52
 
2.4%
Other values (450) 916
42.0%
2023-12-11T07:47:48.910222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
임 1495
 
14.8%
게 1494
 
14.8%
물 607
 
6.0%
603
 
6.0%
인 300
 
3.0%
라 266
 
2.6%
온 263
 
2.6%
기 257
 
2.5%
일 253
 
2.5%
바 251
 
2.5%
Other values (278) 4335
42.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8803
87.0%
Space Separator 603
 
6.0%
Uppercase Letter 254
 
2.5%
Other Punctuation 240
 
2.4%
Lowercase Letter 84
 
0.8%
Open Punctuation 48
 
0.5%
Close Punctuation 47
 
0.5%
Decimal Number 37
 
0.4%
Dash Punctuation 5
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
임 1495
17.0%
게 1494
17.0%
물 607
 
6.9%
인 300
 
3.4%
라 266
 
3.0%
온 263
 
3.0%
기 257
 
2.9%
일 253
 
2.9%
바 251
 
2.9%
모 248
 
2.8%
Other values (217) 3369
38.3%
Uppercase Letter
ValueCountFrequency (%)
P 54
21.3%
C 49
19.3%
R 29
11.4%
V 22
8.7%
D 15
 
5.9%
G 14
 
5.5%
M 9
 
3.5%
O 9
 
3.5%
E 8
 
3.1%
W 7
 
2.8%
Other values (12) 38
15.0%
Lowercase Letter
ValueCountFrequency (%)
p 12
14.3%
n 9
10.7%
i 8
9.5%
c 8
9.5%
e 7
8.3%
a 7
8.3%
m 6
7.1%
t 6
7.1%
o 5
6.0%
r 4
 
4.8%
Other values (9) 12
14.3%
Decimal Number
ValueCountFrequency (%)
0 10
27.0%
5 6
16.2%
4 5
13.5%
2 4
 
10.8%
3 4
 
10.8%
9 3
 
8.1%
8 2
 
5.4%
7 1
 
2.7%
6 1
 
2.7%
1 1
 
2.7%
Other Punctuation
ValueCountFrequency (%)
, 216
90.0%
. 14
 
5.8%
/ 8
 
3.3%
· 2
 
0.8%
Space Separator
ValueCountFrequency (%)
603
100.0%
Open Punctuation
ValueCountFrequency (%)
( 48
100.0%
Close Punctuation
ValueCountFrequency (%)
) 47
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Math Symbol
ValueCountFrequency (%)
+ 2
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8803
87.0%
Common 983
 
9.7%
Latin 338
 
3.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
임 1495
17.0%
게 1494
17.0%
물 607
 
6.9%
인 300
 
3.4%
라 266
 
3.0%
온 263
 
3.0%
기 257
 
2.9%
일 253
 
2.9%
바 251
 
2.9%
모 248
 
2.8%
Other values (217) 3369
38.3%
Latin
ValueCountFrequency (%)
P 54
16.0%
C 49
14.5%
R 29
 
8.6%
V 22
 
6.5%
D 15
 
4.4%
G 14
 
4.1%
p 12
 
3.6%
M 9
 
2.7%
O 9
 
2.7%
n 9
 
2.7%
Other values (31) 116
34.3%
Common
ValueCountFrequency (%)
603
61.3%
, 216
 
22.0%
( 48
 
4.9%
) 47
 
4.8%
. 14
 
1.4%
0 10
 
1.0%
/ 8
 
0.8%
5 6
 
0.6%
- 5
 
0.5%
4 5
 
0.5%
Other values (10) 21
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8803
87.0%
ASCII 1319
 
13.0%
None 2
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
임 1495
17.0%
게 1494
17.0%
물 607
 
6.9%
인 300
 
3.4%
라 266
 
3.0%
온 263
 
3.0%
기 257
 
2.9%
일 253
 
2.9%
바 251
 
2.9%
모 248
 
2.8%
Other values (217) 3369
38.3%
ASCII
ValueCountFrequency (%)
603
45.7%
, 216
 
16.4%
P 54
 
4.1%
C 49
 
3.7%
( 48
 
3.6%
) 47
 
3.6%
R 29
 
2.2%
V 22
 
1.7%
D 15
 
1.1%
G 14
 
1.1%
Other values (50) 222
 
16.8%
None
ValueCountFrequency (%)
· 2
100.0%

시설면적
Real number (ℝ)

MISSING 

Distinct140
Distinct (%)77.8%
Missing1430
Missing (%)88.8%
Infinite0
Infinite (%)0.0%
Mean833.23167
Minimum0
Maximum101074
Zeros8
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size14.3 KiB
2023-12-11T07:47:49.065762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.952
Q117.8575
median77.18
Q3197.2625
95-th percentile1597.45
Maximum101074
Range101074
Interquartile range (IQR)179.405

Descriptive statistics

Standard deviation7545.1416
Coefficient of variation (CV)9.0552747
Kurtosis176.92649
Mean833.23167
Median Absolute Deviation (MAD)73.88
Skewness13.249522
Sum149981.7
Variance56929162
MonotonicityNot monotonic
2023-12-11T07:47:49.195740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.3 21
 
1.3%
0.0 8
 
0.5%
21.0 3
 
0.2%
3.0 2
 
0.1%
86.0 2
 
0.1%
33.0 2
 
0.1%
2.0 2
 
0.1%
330.0 2
 
0.1%
1.0 2
 
0.1%
18.81 2
 
0.1%
Other values (130) 134
 
8.3%
(Missing) 1430
88.8%
ValueCountFrequency (%)
0.0 8
 
0.5%
0.04 1
 
0.1%
1.0 2
 
0.1%
1.2 1
 
0.1%
1.44 1
 
0.1%
2.0 2
 
0.1%
3.0 2
 
0.1%
3.3 21
1.3%
3.96 1
 
0.1%
6.22 1
 
0.1%
ValueCountFrequency (%)
101074.0 1
0.1%
6600.0 1
0.1%
3182.82 1
0.1%
3039.02 1
0.1%
2644.0 1
0.1%
2205.72 1
0.1%
2144.0 1
0.1%
2024.26 1
0.1%
1853.0 1
0.1%
1584.0 1
0.1%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)3.8%
Missing1450
Missing (%)90.1%
Infinite0
Infinite (%)0.0%
Mean0.43125
Minimum0
Maximum28
Zeros152
Zeros (%)9.4%
Negative0
Negative (%)0.0%
Memory size14.3 KiB
2023-12-11T07:47:49.301975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.05
Maximum28
Range28
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.7917711
Coefficient of variation (CV)6.4736721
Kurtosis68.785422
Mean0.43125
Median Absolute Deviation (MAD)0
Skewness7.9699645
Sum69
Variance7.7939858
MonotonicityNot monotonic
2023-12-11T07:47:49.394498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 152
 
9.4%
2 2
 
0.1%
15 2
 
0.1%
1 2
 
0.1%
28 1
 
0.1%
5 1
 
0.1%
(Missing) 1450
90.1%
ValueCountFrequency (%)
0 152
9.4%
1 2
 
0.1%
2 2
 
0.1%
5 1
 
0.1%
15 2
 
0.1%
28 1
 
0.1%
ValueCountFrequency (%)
28 1
 
0.1%
15 2
 
0.1%
5 1
 
0.1%
2 2
 
0.1%
1 2
 
0.1%
0 152
9.4%

지하층수
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size12.7 KiB
<NA>
1450 
0
155 
1
 
3
4
 
1
6
 
1

Length

Max length4
Median length4
Mean length3.7018634
Min length1

Unique

Unique2 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1450
90.1%
0 155
 
9.6%
1 3
 
0.2%
4 1
 
0.1%
6 1
 
0.1%

Length

2023-12-11T07:47:49.502544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:47:49.606184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1450
90.1%
0 155
 
9.6%
1 3
 
0.2%
4 1
 
0.1%
6 1
 
0.1%

건물용도명
Text

MISSING 

Distinct4
Distinct (%)57.1%
Missing1603
Missing (%)99.6%
Memory size12.7 KiB
2023-12-11T07:47:49.733448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5
Mean length4.7142857
Min length3

Characters and Unicode

Total characters33
Distinct characters15
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

Unique1 ?
Unique (%)14.3%

Sample

1st row다세대주택
2nd row다세대주택
3rd row근린생활시설
4th row근린생활시설
5th row생산시설
ValueCountFrequency (%)
다세대주택 2
28.6%
근린생활시설 2
28.6%
생산시설 2
28.6%
아파트 1
14.3%
2023-12-11T07:47:49.988616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
생 4
12.1%
시 4
12.1%
설 4
12.1%
다 2
 
6.1%
세 2
 
6.1%
대 2
 
6.1%
주 2
 
6.1%
택 2
 
6.1%
근 2
 
6.1%
린 2
 
6.1%
Other values (5) 7
21.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 33
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
생 4
12.1%
시 4
12.1%
설 4
12.1%
다 2
 
6.1%
세 2
 
6.1%
대 2
 
6.1%
주 2
 
6.1%
택 2
 
6.1%
근 2
 
6.1%
린 2
 
6.1%
Other values (5) 7
21.2%

Most occurring scripts

ValueCountFrequency (%)
Hangul 33
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
생 4
12.1%
시 4
12.1%
설 4
12.1%
다 2
 
6.1%
세 2
 
6.1%
대 2
 
6.1%
주 2
 
6.1%
택 2
 
6.1%
근 2
 
6.1%
린 2
 
6.1%
Other values (5) 7
21.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 33
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
생 4
12.1%
시 4
12.1%
설 4
12.1%
다 2
 
6.1%
세 2
 
6.1%
대 2
 
6.1%
주 2
 
6.1%
택 2
 
6.1%
근 2
 
6.1%
린 2
 
6.1%
Other values (5) 7
21.2%

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.7 KiB
<NA>
1451 
0
159 

Length

Max length4
Median length4
Mean length3.7037267
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1451
90.1%
0 159
 
9.9%

Length

2023-12-11T07:47:50.105345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:47:50.200018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1451
90.1%
0 159
 
9.9%

조명시설조도량
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.7 KiB
<NA>
1451 
0
159 

Length

Max length4
Median length4
Mean length3.7037267
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1451
90.1%
0 159
 
9.9%

Length

2023-12-11T07:47:50.295482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:47:50.404495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1451
90.1%
0 159
 
9.9%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.7 KiB
<NA>
1451 
0
159 

Length

Max length4
Median length4
Mean length3.7037267
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1451
90.1%
0 159
 
9.9%

Length

2023-12-11T07:47:50.527036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:47:50.633189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1451
90.1%
0 159
 
9.9%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.7 KiB
<NA>
1451 
0
159 

Length

Max length4
Median length4
Mean length3.7037267
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1451
90.1%
0 159
 
9.9%

Length

2023-12-11T07:47:50.753202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:47:50.864392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1451
90.1%
0 159
 
9.9%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1610
Missing (%)100.0%
Memory size14.3 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1610
Missing (%)100.0%
Memory size14.3 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1610
Missing (%)100.0%
Memory size14.3 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1610
Missing (%)100.0%
Memory size14.3 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1610
Missing (%)100.0%
Memory size14.3 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1610
Missing (%)100.0%
Memory size14.3 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1610
Missing (%)100.0%
Memory size14.3 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1610
Missing (%)100.0%
Memory size14.3 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1610
Missing (%)100.0%
Memory size14.3 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1610
Missing (%)100.0%
Memory size14.3 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1610
Missing (%)100.0%
Memory size14.3 KiB

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.7 KiB
<NA>
1451 
0
159 

Length

Max length4
Median length4
Mean length3.7037267
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1451
90.1%
0 159
 
9.9%

Length

2023-12-11T07:47:50.980082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:47:51.078009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1451
90.1%
0 159
 
9.9%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1610
Missing (%)100.0%
Memory size14.3 KiB

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1610
Missing (%)100.0%
Memory size14.3 KiB

Sample

시군명사업장명인허가일자인허가취소일자영업상태구분코드영업상태명폐업일자소재지시설전화번호소재지면적정보도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도업태구분명정보X좌표값Y좌표값문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도량노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명공연장형태구분명
0고양시(주)에이치앤에이치소프트2020-03-24<NA>13영업중<NA><NA><NA>10543경기도 고양시 덕양구 청초로 **, 상가동 ***~***호, A동 ****~****호 (덕은동)경기도 고양시 덕양구 덕은동 * 상가동 ***~***호, A동 ****~****호10544<NA><NA><NA><NA><NA>게임물제작업유통관련업0<NA>온라인,모바일게임292.7100<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA>
1고양시비앤비 인터내셔날2019-04-05<NA>13영업중<NA><NA><NA>10317경기도 고양시 일산동구 견달산로***번길 **-**, *층,*층 (식사동)경기도 고양시 일산동구 식사동 ***-** *층,*층10324<NA><NA><NA>183602.870092465145.114191게임물제작업유통관련업0<NA>경품뽑기게임기150.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA>
2고양시데브텐2023-12-01<NA>13영업중<NA><NA><NA>10297경기도 고양시 덕양구 마상로**번길 ***, ***동 ****호 (주교동, 우인아크리움빌아파트)경기도 고양시 덕양구 주교동 **** 우인아크리움빌아파트<NA><NA><NA><NA>185341.578514462570.372507게임물제작업유통관련업0<NA>모바일 게임84.3500<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA>
3고양시주식회사 페퍼로니콘2023-12-01<NA>13영업중<NA><NA><NA>10576경기도 고양시 덕양구 오금로 ***, ***동 *호 (오금동)경기도 고양시 덕양구 오금동 ***<NA><NA><NA><NA>192235.548017462422.398391게임물제작업유통관련업0<NA>게임 소프트웨어35.4200<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA>
4고양시주식회사 넥스넷2020-08-31<NA>13영업중<NA><NA><NA>10543경기도 고양시 덕양구 청초로 **, A동 ****호 (덕은동)경기도 고양시 덕양구 덕은동 * A동 ****호10544<NA><NA><NA><NA><NA>게임물제작업유통관련업0<NA>온라인게임,모바일게임90.700<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA>
5고양시온누리코리아20160119<NA><NA>운영중<NA><NA><NA><NA>경기도 고양시 덕양구 통일로 ***, B동 지하*층 B***호 (동산동, 삼송테크노밸리)경기도 고양시 덕양구 동산동 ***번지 삼송테크노밸리 B동 B***호1059437.64907126.901901<NA><NA><NA>게임물제작업유통관련업<NA><NA>아케이드게임기<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
6고양시티앤비(TNB)20170306<NA><NA>운영중<NA><NA><NA><NA>경기도 고양시 일산동구 호수로***번길 **-**, 지층 (백석동)경기도 고양시 일산동구 백석동 ****-*번지1042437.643128126.78037<NA><NA><NA>게임물제작업유통관련업<NA><NA>스포츠아케이드<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
7고양시주식회사 하르20180822<NA><NA>운영중<NA><NA><NA><NA>경기도 고양시 일산동구 무궁화로 **-**, 로데오존 ***호 (장항동)경기도 고양시 일산동구 장항동 ***번지 로데오존1036437.662782126.76662<NA><NA><NA>게임물제작업유통관련업<NA><NA>온라인게임<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8고양시에이치전자20120313<NA><NA>운영중<NA><NA><NA><NA>경기도 고양시 덕양구 고양대로****번길 **-* (성사동)경기도 고양시 덕양구 성사동 ***-*번지 지하층1046437.655603126.837523<NA><NA><NA>게임물제작업유통관련업<NA><NA>아케이드,온라인<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
9고양시(주)위즈엔터프라이즈20120326<NA><NA>운영중<NA><NA><NA><NA>경기도 고양시 일산동구 중앙로 ****, **층 ****호 (백석동, 레이크하임)경기도 고양시 일산동구 백석동 ****-*번지 레이크하임 ****호1044737.643697126.786462<NA><NA><NA>게임물제작업유통관련업<NA><NA>온라인보드게임, 모바일게임<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
시군명사업장명인허가일자인허가취소일자영업상태구분코드영업상태명폐업일자소재지시설전화번호소재지면적정보도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도업태구분명정보X좌표값Y좌표값문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도량노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명공연장형태구분명
1600화성시스튜디오 몰트20170317<NA><NA>운영중<NA><NA><NA><NA>경기도 화성시 봉담읍 와우안길 **, ***호 (수원대학교 미래혁신관)경기도 화성시 봉담읍 와우리 *-*번지1832337.208104126.97997<NA><NA><NA>게임물제작업유통관련업<NA><NA>모바일게임<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1601화성시에스에이치 컴퍼니20180102<NA><NA>운영중<NA><NA><NA><NA>경기도 화성시 경기대로 ****-*, 병점제일타운 *층 (병점동)경기도 화성시 병점동 ***-**번지 병점제일타운1841237.20691127.035356<NA><NA><NA>게임물제작업유통관련업<NA><NA>어플리케이션<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1602화성시제이와이소프트20160216<NA><NA>운영중<NA><NA><NA><NA>경기도 화성시 동탄반송*길 **-** (반송동)경기도 화성시 반송동 **-**번지1843437.21061127.065165<NA><NA><NA>게임물제작업유통관련업<NA><NA>아케이드 외<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1603화성시기드온(주)20180312<NA><NA>운영중<NA><NA><NA><NA>경기도 화성시 노작로 ***, 센트럴파크 B**호 (반송동)경기도 화성시 반송동 **-*번지1845437.203672127.07342<NA><NA><NA>게임물제작업유통관련업<NA><NA>미니게임기<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1604화성시(주)네오텍미디어20010321<NA><NA>운영중<NA><NA><NA><NA>경기도 화성시 비봉면 청요로**번길 **경기도 화성시 비봉면 청요리 ***-*번지1829337.206714126.897769<NA><NA><NA>게임물제작업유통관련업<NA><NA>게임물<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1605화성시주식회사 리버그린20110520<NA><NA>운영중<NA><NA><NA><NA>경기도 화성시 정남면 정남동로 *** (*층)경기도 화성시 정남면 고지리 ***번지 *층1851237.164861127.002601<NA><NA><NA>게임물제작업유통관련업<NA><NA>openplatform상의 application 및 게임개발<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1606화성시기호엔지니어링20060802<NA><NA>운영중<NA><NA><NA><NA>경기도 화성시 온석길 **-* (온석동)경기도 화성시 남양읍 온석리 ***-**번지1827937.166713126.849023<NA><NA><NA>게임물제작업유통관련업<NA><NA>게임물<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1607화성시(주)캔디코드2022-01-06<NA>15전출2023-04-05<NA><NA>18469경기도 화성시 동탄기흥로 ***-*, 골든아이타워 ***호 (영천동)경기도 화성시 영천동 *<NA><NA><NA><NA><NA><NA>게임물제작업유통관련업0<NA>게임42.1200<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA>
1608화성시제이(J)컴퍼니20090220<NA><NA>폐업 등20111228<NA><NA><NA>경기도 화성시 효행로 ****, ***동 *호 (진안동,메오프라자)경기도 화성시 진안동 ***-*번지 메오프라자 ***동 *호1839837.214633127.04197<NA><NA><NA>게임물제작업유통관련업<NA><NA>아케이드게임<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1609화성시성진상사20090729<NA><NA>폐업 등20101026<NA><NA><NA>경기도 화성시 향남읍 서봉로 ***경기도 화성시 향남읍 동오리 ***-*번지1862437.137409126.956416<NA><NA><NA>게임물제작업유통관련업<NA><NA>아케이드게임<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>