Overview

Dataset statistics

Number of variables46
Number of observations778
Missing cells18523
Missing cells (%)51.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory304.0 KiB
Average record size in memory400.2 B

Variable types

Categorical13
Text8
DateTime2
Unsupported17
Numeric6

Dataset

Description게임물 배급업체 현황
Author행정안전부
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=I31095C06533W11XL0Z61766850&infSeq=1

Alerts

문화체육업종명 has constant value ""Constant
문화사업자구분명 has constant value ""Constant
주변환경명 has constant value ""Constant
영업상태구분코드 is highly imbalanced (71.3%)Imbalance
총층수 is highly imbalanced (78.4%)Imbalance
지상층수 is highly imbalanced (78.4%)Imbalance
지하층수 is highly imbalanced (78.4%)Imbalance
통로너비 is highly imbalanced (53.4%)Imbalance
조명시설조도량 is highly imbalanced (53.4%)Imbalance
노래방실수 is highly imbalanced (53.4%)Imbalance
청소년실수 is highly imbalanced (53.4%)Imbalance
총게임기수 is highly imbalanced (53.4%)Imbalance
인허가취소일자 has 778 (100.0%) missing valuesMissing
폐업일자 has 581 (74.7%) missing valuesMissing
소재지시설전화번호 has 766 (98.5%) missing valuesMissing
소재지면적정보 has 778 (100.0%) missing valuesMissing
도로명우편번호 has 689 (88.6%) missing valuesMissing
소재지도로명주소 has 8 (1.0%) missing valuesMissing
소재지우편번호 has 81 (10.4%) missing valuesMissing
WGS84위도 has 94 (12.1%) missing valuesMissing
WGS84경도 has 94 (12.1%) missing valuesMissing
업태구분명정보 has 778 (100.0%) missing valuesMissing
X좌표값 has 691 (88.8%) missing valuesMissing
Y좌표값 has 691 (88.8%) missing valuesMissing
주변환경명 has 776 (99.7%) missing valuesMissing
제작취급품목내용 has 13 (1.7%) missing valuesMissing
시설면적(㎡) has 37 (4.8%) missing valuesMissing
건물용도명 has 776 (99.7%) missing valuesMissing
비상계단여부 has 778 (100.0%) missing valuesMissing
비상구여부 has 778 (100.0%) missing valuesMissing
자동환기여부 has 778 (100.0%) missing valuesMissing
청소년실여부 has 778 (100.0%) missing valuesMissing
특수조명여부 has 778 (100.0%) missing valuesMissing
방음시설여부 has 778 (100.0%) missing valuesMissing
비디오재생기명 has 778 (100.0%) missing valuesMissing
조명시설유무 has 778 (100.0%) missing valuesMissing
음향시설여부 has 778 (100.0%) missing valuesMissing
편의시설여부 has 778 (100.0%) missing valuesMissing
소방시설여부 has 778 (100.0%) missing valuesMissing
기존게임업외업종명 has 778 (100.0%) missing valuesMissing
제공게임물명 has 778 (100.0%) missing valuesMissing
공연장형태구분명 has 778 (100.0%) missing valuesMissing
시설면적(㎡) is highly skewed (γ1 = 24.44840307)Skewed
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
제공게임물명 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
시설면적(㎡) has 25 (3.2%) zerosZeros

Reproduction

Analysis started2023-12-10 21:14:54.877271
Analysis finished2023-12-10 21:14:56.060045
Duration1.18 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

Distinct27
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
성남시
268 
고양시
113 
부천시
66 
안양시
49 
안산시
39 
Other values (22)
243 

Length

Max length4
Median length3
Mean length3.0269923
Min length3

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
성남시 268
34.4%
고양시 113
14.5%
부천시 66
 
8.5%
안양시 49
 
6.3%
안산시 39
 
5.0%
파주시 32
 
4.1%
포천시 31
 
4.0%
시흥시 24
 
3.1%
수원시 23
 
3.0%
용인시 19
 
2.4%
Other values (17) 114
14.7%

Length

2023-12-11T06:14:56.139147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
성남시 268
34.4%
고양시 113
14.5%
부천시 66
 
8.5%
안양시 49
 
6.3%
안산시 39
 
5.0%
파주시 32
 
4.1%
포천시 31
 
4.0%
시흥시 24
 
3.1%
수원시 23
 
3.0%
용인시 19
 
2.4%
Other values (17) 114
14.7%
Distinct751
Distinct (%)96.5%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
2023-12-11T06:14:56.429635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length25
Mean length7.4987147
Min length2

Characters and Unicode

Total characters5834
Distinct characters441
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique726 ?
Unique (%)93.3%

Sample

1st row주식회사 넥스넷
2nd row주식회사 페퍼로니콘
3rd row(주)에이치앤에이치소프트
4th row비앤비 인터내셔날
5th row(주)와이즈비젼
ValueCountFrequency (%)
주식회사 119
 
11.5%
소프트 28
 
2.7%
21
 
2.0%
soft 8
 
0.8%
엔터테인먼트 8
 
0.8%
스튜디오 4
 
0.4%
시스템 4
 
0.4%
유한회사 4
 
0.4%
전자 3
 
0.3%
쿡앱스 3
 
0.3%
Other values (798) 836
80.5%
2023-12-11T06:14:56.872334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
422
 
7.2%
) 311
 
5.3%
( 304
 
5.2%
260
 
4.5%
221
 
3.8%
195
 
3.3%
177
 
3.0%
137
 
2.3%
127
 
2.2%
126
 
2.2%
Other values (431) 3554
60.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4569
78.3%
Close Punctuation 311
 
5.3%
Open Punctuation 304
 
5.2%
Space Separator 260
 
4.5%
Uppercase Letter 250
 
4.3%
Lowercase Letter 93
 
1.6%
Decimal Number 29
 
0.5%
Other Punctuation 14
 
0.2%
Dash Punctuation 3
 
0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
422
 
9.2%
221
 
4.8%
195
 
4.3%
177
 
3.9%
137
 
3.0%
127
 
2.8%
126
 
2.8%
123
 
2.7%
115
 
2.5%
83
 
1.8%
Other values (371) 2843
62.2%
Uppercase Letter
ValueCountFrequency (%)
S 37
14.8%
J 21
 
8.4%
T 19
 
7.6%
M 18
 
7.2%
O 18
 
7.2%
E 15
 
6.0%
A 13
 
5.2%
K 13
 
5.2%
G 11
 
4.4%
C 11
 
4.4%
Other values (13) 74
29.6%
Lowercase Letter
ValueCountFrequency (%)
o 16
17.2%
e 9
 
9.7%
t 8
 
8.6%
n 7
 
7.5%
a 6
 
6.5%
s 5
 
5.4%
y 5
 
5.4%
r 5
 
5.4%
i 5
 
5.4%
c 4
 
4.3%
Other values (8) 23
24.7%
Decimal Number
ValueCountFrequency (%)
1 7
24.1%
3 6
20.7%
2 4
13.8%
0 4
13.8%
8 2
 
6.9%
4 2
 
6.9%
9 1
 
3.4%
7 1
 
3.4%
5 1
 
3.4%
6 1
 
3.4%
Other Punctuation
ValueCountFrequency (%)
& 6
42.9%
. 4
28.6%
· 3
21.4%
, 1
 
7.1%
Close Punctuation
ValueCountFrequency (%)
) 311
100.0%
Open Punctuation
ValueCountFrequency (%)
( 304
100.0%
Space Separator
ValueCountFrequency (%)
260
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Other Symbol
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4570
78.3%
Common 921
 
15.8%
Latin 343
 
5.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
422
 
9.2%
221
 
4.8%
195
 
4.3%
177
 
3.9%
137
 
3.0%
127
 
2.8%
126
 
2.8%
123
 
2.7%
115
 
2.5%
83
 
1.8%
Other values (372) 2844
62.2%
Latin
ValueCountFrequency (%)
S 37
 
10.8%
J 21
 
6.1%
T 19
 
5.5%
M 18
 
5.2%
O 18
 
5.2%
o 16
 
4.7%
E 15
 
4.4%
A 13
 
3.8%
K 13
 
3.8%
G 11
 
3.2%
Other values (31) 162
47.2%
Common
ValueCountFrequency (%)
) 311
33.8%
( 304
33.0%
260
28.2%
1 7
 
0.8%
& 6
 
0.7%
3 6
 
0.7%
2 4
 
0.4%
. 4
 
0.4%
0 4
 
0.4%
- 3
 
0.3%
Other values (8) 12
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4569
78.3%
ASCII 1261
 
21.6%
None 4
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
422
 
9.2%
221
 
4.8%
195
 
4.3%
177
 
3.9%
137
 
3.0%
127
 
2.8%
126
 
2.8%
123
 
2.7%
115
 
2.5%
83
 
1.8%
Other values (371) 2843
62.2%
ASCII
ValueCountFrequency (%)
) 311
24.7%
( 304
24.1%
260
20.6%
S 37
 
2.9%
J 21
 
1.7%
T 19
 
1.5%
M 18
 
1.4%
O 18
 
1.4%
o 16
 
1.3%
E 15
 
1.2%
Other values (48) 242
19.2%
None
ValueCountFrequency (%)
· 3
75.0%
1
 
25.0%
Distinct679
Distinct (%)87.3%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
Minimum1999-06-23 00:00:00
Maximum2023-12-01 00:00:00
2023-12-11T06:14:56.995824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:14:57.137420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing778
Missing (%)100.0%
Memory size7.0 KiB

영업상태구분코드
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
<NA>
686 
13
69 
15
 
9
35
 
7
3
 
7

Length

Max length4
Median length4
Mean length3.7544987
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 686
88.2%
13 69
 
8.9%
15 9
 
1.2%
35 7
 
0.9%
3 7
 
0.9%

Length

2023-12-11T06:14:57.277641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:14:57.380377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 686
88.2%
13 69
 
8.9%
15 9
 
1.2%
35 7
 
0.9%
3 7
 
0.9%

영업상태명
Categorical

Distinct6
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
운영중
511 
폐업 등
175 
영업중
69 
전출
 
9
직권말소
 
7

Length

Max length4
Median length3
Mean length3.2133676
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
운영중 511
65.7%
폐업 등 175
 
22.5%
영업중 69
 
8.9%
전출 9
 
1.2%
직권말소 7
 
0.9%
폐업 7
 
0.9%

Length

2023-12-11T06:14:57.497077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:14:57.615396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
운영중 511
53.6%
폐업 182
 
19.1%
175
 
18.4%
영업중 69
 
7.2%
전출 9
 
0.9%
직권말소 7
 
0.7%

폐업일자
Date

MISSING 

Distinct159
Distinct (%)80.7%
Missing581
Missing (%)74.7%
Memory size6.2 KiB
Minimum2006-02-03 00:00:00
Maximum2023-12-01 00:00:00
2023-12-11T06:14:57.714481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:14:57.843714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct12
Distinct (%)100.0%
Missing766
Missing (%)98.5%
Memory size6.2 KiB
2023-12-11T06:14:58.011384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.166667
Min length10

Characters and Unicode

Total characters146
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

Unique12 ?
Unique (%)100.0%

Sample

1st row0315702942
2nd row031-697-8858
3rd row031-607-6086
4th row070-8707-1000
5th row031-630-3592
ValueCountFrequency (%)
0315702942 1
8.3%
031-697-8858 1
8.3%
031-607-6086 1
8.3%
070-8707-1000 1
8.3%
031-630-3592 1
8.3%
02-547-2001 1
8.3%
031-784-3771 1
8.3%
031-8038-4078 1
8.3%
031-724-0260 1
8.3%
031-8057-0333 1
8.3%
Other values (2) 2
16.7%
2023-12-11T06:14:58.282970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 33
22.6%
- 22
15.1%
7 18
12.3%
1 17
11.6%
3 15
10.3%
8 12
 
8.2%
2 7
 
4.8%
4 7
 
4.8%
6 6
 
4.1%
5 5
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 124
84.9%
Dash Punctuation 22
 
15.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 33
26.6%
7 18
14.5%
1 17
13.7%
3 15
12.1%
8 12
 
9.7%
2 7
 
5.6%
4 7
 
5.6%
6 6
 
4.8%
5 5
 
4.0%
9 4
 
3.2%
Dash Punctuation
ValueCountFrequency (%)
- 22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 146
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 33
22.6%
- 22
15.1%
7 18
12.3%
1 17
11.6%
3 15
10.3%
8 12
 
8.2%
2 7
 
4.8%
4 7
 
4.8%
6 6
 
4.1%
5 5
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 146
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 33
22.6%
- 22
15.1%
7 18
12.3%
1 17
11.6%
3 15
10.3%
8 12
 
8.2%
2 7
 
4.8%
4 7
 
4.8%
6 6
 
4.1%
5 5
 
3.4%

소재지면적정보
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing778
Missing (%)100.0%
Memory size7.0 KiB

도로명우편번호
Text

MISSING 

Distinct58
Distinct (%)65.2%
Missing689
Missing (%)88.6%
Memory size6.2 KiB
2023-12-11T06:14:58.482398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.0449438
Min length5

Characters and Unicode

Total characters449
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

Unique45 ?
Unique (%)50.6%

Sample

1st row10543
2nd row10576
3rd row10543
4th row10317
5th row10387
ValueCountFrequency (%)
13449 7
 
7.9%
13487 7
 
7.9%
13591 6
 
6.7%
13493 4
 
4.5%
13494 3
 
3.4%
13524 3
 
3.4%
13466 2
 
2.2%
10543 2
 
2.2%
14055 2
 
2.2%
10952 2
 
2.2%
Other values (48) 51
57.3%
2023-12-11T06:14:58.817105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 111
24.7%
3 67
14.9%
4 58
12.9%
5 46
10.2%
9 37
 
8.2%
0 32
 
7.1%
8 27
 
6.0%
6 24
 
5.3%
2 23
 
5.1%
7 22
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 447
99.6%
Dash Punctuation 2
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 111
24.8%
3 67
15.0%
4 58
13.0%
5 46
10.3%
9 37
 
8.3%
0 32
 
7.2%
8 27
 
6.0%
6 24
 
5.4%
2 23
 
5.1%
7 22
 
4.9%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 449
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 111
24.7%
3 67
14.9%
4 58
12.9%
5 46
10.2%
9 37
 
8.2%
0 32
 
7.1%
8 27
 
6.0%
6 24
 
5.3%
2 23
 
5.1%
7 22
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 449
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 111
24.7%
3 67
14.9%
4 58
12.9%
5 46
10.2%
9 37
 
8.2%
0 32
 
7.1%
8 27
 
6.0%
6 24
 
5.3%
2 23
 
5.1%
7 22
 
4.9%
Distinct701
Distinct (%)91.0%
Missing8
Missing (%)1.0%
Memory size6.2 KiB
2023-12-11T06:14:59.070402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length64
Median length46
Mean length36.57013
Min length15

Characters and Unicode

Total characters28159
Distinct characters415
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

Unique650 ?
Unique (%)84.4%

Sample

1st row경기도 고양시 덕양구 청초로 **, A동 ****호 (덕은동)
2nd row경기도 고양시 덕양구 오금로 ***, ***동 *호 (오금동)
3rd row경기도 고양시 덕양구 청초로 **, 상가동 ***~***호, A동 ****~****호 (덕은동)
4th row경기도 고양시 일산동구 견달산로***번길 **-**, *층,*층 (식사동)
5th row경기도 고양시 일산서구 중앙로 ****, ***,***호 (대화동, 메드위즈)
ValueCountFrequency (%)
784
 
14.3%
경기도 770
 
14.0%
394
 
7.2%
성남시 266
 
4.8%
분당구 231
 
4.2%
172
 
3.1%
삼평동 119
 
2.2%
고양시 113
 
2.1%
일산동구 74
 
1.3%
부천시 66
 
1.2%
Other values (1046) 2510
45.6%
2023-12-11T06:14:59.485705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4917
17.5%
* 4885
17.3%
999
 
3.5%
, 944
 
3.4%
845
 
3.0%
812
 
2.9%
790
 
2.8%
786
 
2.8%
733
 
2.6%
) 697
 
2.5%
Other values (405) 11751
41.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 15634
55.5%
Other Punctuation 5831
 
20.7%
Space Separator 4917
 
17.5%
Close Punctuation 697
 
2.5%
Open Punctuation 697
 
2.5%
Uppercase Letter 186
 
0.7%
Dash Punctuation 183
 
0.6%
Lowercase Letter 11
 
< 0.1%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
999
 
6.4%
845
 
5.4%
812
 
5.2%
790
 
5.1%
786
 
5.0%
733
 
4.7%
530
 
3.4%
476
 
3.0%
358
 
2.3%
340
 
2.2%
Other values (365) 8965
57.3%
Uppercase Letter
ValueCountFrequency (%)
B 45
24.2%
A 32
17.2%
T 15
 
8.1%
I 11
 
5.9%
D 9
 
4.8%
K 9
 
4.8%
C 8
 
4.3%
R 7
 
3.8%
G 7
 
3.8%
E 6
 
3.2%
Other values (14) 37
19.9%
Lowercase Letter
ValueCountFrequency (%)
e 3
27.3%
c 2
18.2%
n 2
18.2%
r 1
 
9.1%
t 1
 
9.1%
s 1
 
9.1%
b 1
 
9.1%
Other Punctuation
ValueCountFrequency (%)
* 4885
83.8%
, 944
 
16.2%
. 1
 
< 0.1%
& 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
4917
100.0%
Close Punctuation
ValueCountFrequency (%)
) 697
100.0%
Open Punctuation
ValueCountFrequency (%)
( 697
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 183
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 15634
55.5%
Common 12328
43.8%
Latin 197
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
999
 
6.4%
845
 
5.4%
812
 
5.2%
790
 
5.1%
786
 
5.0%
733
 
4.7%
530
 
3.4%
476
 
3.0%
358
 
2.3%
340
 
2.2%
Other values (365) 8965
57.3%
Latin
ValueCountFrequency (%)
B 45
22.8%
A 32
16.2%
T 15
 
7.6%
I 11
 
5.6%
D 9
 
4.6%
K 9
 
4.6%
C 8
 
4.1%
R 7
 
3.6%
G 7
 
3.6%
E 6
 
3.0%
Other values (21) 48
24.4%
Common
ValueCountFrequency (%)
4917
39.9%
* 4885
39.6%
, 944
 
7.7%
) 697
 
5.7%
( 697
 
5.7%
- 183
 
1.5%
~ 3
 
< 0.1%
. 1
 
< 0.1%
& 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 15634
55.5%
ASCII 12525
44.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4917
39.3%
* 4885
39.0%
, 944
 
7.5%
) 697
 
5.6%
( 697
 
5.6%
- 183
 
1.5%
B 45
 
0.4%
A 32
 
0.3%
T 15
 
0.1%
I 11
 
0.1%
Other values (30) 99
 
0.8%
Hangul
ValueCountFrequency (%)
999
 
6.4%
845
 
5.4%
812
 
5.2%
790
 
5.1%
786
 
5.0%
733
 
4.7%
530
 
3.4%
476
 
3.0%
358
 
2.3%
340
 
2.2%
Other values (365) 8965
57.3%
Distinct648
Distinct (%)83.3%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
2023-12-11T06:14:59.757259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length41
Mean length28.701799
Min length10

Characters and Unicode

Total characters22330
Distinct characters376
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

Unique584 ?
Unique (%)75.1%

Sample

1st row경기도 고양시 덕양구 덕은동 * A동 ****호
2nd row경기도 고양시 덕양구 오금동 ***
3rd row경기도 고양시 덕양구 덕은동 * 상가동 ***~***호, A동 ****~****호
4th row경기도 고양시 일산동구 식사동 ***-** *층,*층
5th row경기도 고양시 일산서구 대화동 ****-*번지 메드위즈빌딩 ***호 일부, ***호 일부
ValueCountFrequency (%)
경기도 778
16.5%
번지 669
 
14.2%
324
 
6.9%
성남시 268
 
5.7%
분당구 231
 
4.9%
삼평동 119
 
2.5%
고양시 113
 
2.4%
110
 
2.3%
108
 
2.3%
일산동구 74
 
1.6%
Other values (656) 1923
40.8%
2023-12-11T06:15:00.174540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 4354
19.5%
4008
17.9%
938
 
4.2%
826
 
3.7%
802
 
3.6%
789
 
3.5%
787
 
3.5%
720
 
3.2%
669
 
3.0%
529
 
2.4%
Other values (366) 7908
35.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13330
59.7%
Other Punctuation 4384
 
19.6%
Space Separator 4008
 
17.9%
Dash Punctuation 474
 
2.1%
Uppercase Letter 100
 
0.4%
Lowercase Letter 11
 
< 0.1%
Close Punctuation 10
 
< 0.1%
Open Punctuation 10
 
< 0.1%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
938
 
7.0%
826
 
6.2%
802
 
6.0%
789
 
5.9%
787
 
5.9%
720
 
5.4%
669
 
5.0%
529
 
4.0%
364
 
2.7%
317
 
2.4%
Other values (330) 6589
49.4%
Uppercase Letter
ValueCountFrequency (%)
B 23
23.0%
A 16
16.0%
T 10
10.0%
K 7
 
7.0%
C 6
 
6.0%
I 5
 
5.0%
S 4
 
4.0%
D 4
 
4.0%
G 3
 
3.0%
N 3
 
3.0%
Other values (12) 19
19.0%
Lowercase Letter
ValueCountFrequency (%)
e 3
27.3%
c 2
18.2%
n 2
18.2%
r 1
 
9.1%
t 1
 
9.1%
b 1
 
9.1%
s 1
 
9.1%
Other Punctuation
ValueCountFrequency (%)
* 4354
99.3%
, 30
 
0.7%
Space Separator
ValueCountFrequency (%)
4008
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 474
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 13330
59.7%
Common 8889
39.8%
Latin 111
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
938
 
7.0%
826
 
6.2%
802
 
6.0%
789
 
5.9%
787
 
5.9%
720
 
5.4%
669
 
5.0%
529
 
4.0%
364
 
2.7%
317
 
2.4%
Other values (330) 6589
49.4%
Latin
ValueCountFrequency (%)
B 23
20.7%
A 16
14.4%
T 10
 
9.0%
K 7
 
6.3%
C 6
 
5.4%
I 5
 
4.5%
S 4
 
3.6%
D 4
 
3.6%
G 3
 
2.7%
N 3
 
2.7%
Other values (19) 30
27.0%
Common
ValueCountFrequency (%)
* 4354
49.0%
4008
45.1%
- 474
 
5.3%
, 30
 
0.3%
) 10
 
0.1%
( 10
 
0.1%
~ 3
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 13330
59.7%
ASCII 9000
40.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 4354
48.4%
4008
44.5%
- 474
 
5.3%
, 30
 
0.3%
B 23
 
0.3%
A 16
 
0.2%
) 10
 
0.1%
T 10
 
0.1%
( 10
 
0.1%
K 7
 
0.1%
Other values (26) 58
 
0.6%
Hangul
ValueCountFrequency (%)
938
 
7.0%
826
 
6.2%
802
 
6.0%
789
 
5.9%
787
 
5.9%
720
 
5.4%
669
 
5.0%
529
 
4.0%
364
 
2.7%
317
 
2.4%
Other values (330) 6589
49.4%

소재지우편번호
Real number (ℝ)

MISSING 

Distinct377
Distinct (%)54.1%
Missing81
Missing (%)10.4%
Infinite0
Infinite (%)0.0%
Mean59740.113
Minimum10040
Maximum487832
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2023-12-11T06:15:00.308224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10040
5-th percentile10364
Q111929
median13555
Q315024
95-th percentile447439.2
Maximum487832
Range477792
Interquartile range (IQR)3095

Descriptive statistics

Standard deviation134153.03
Coefficient of variation (CV)2.2456106
Kurtosis4.573423
Mean59740.113
Median Absolute Deviation (MAD)1524
Skewness2.5538335
Sum41638859
Variance1.7997035 × 1010
MonotonicityNot monotonic
2023-12-11T06:15:00.432454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13487 42
 
5.4%
13493 25
 
3.2%
13494 19
 
2.4%
13591 16
 
2.1%
13595 13
 
1.7%
10402 12
 
1.5%
10403 11
 
1.4%
14543 10
 
1.3%
10364 9
 
1.2%
10449 9
 
1.2%
Other values (367) 531
68.3%
(Missing) 81
 
10.4%
ValueCountFrequency (%)
10040 1
 
0.1%
10048 3
0.4%
10049 4
0.5%
10052 1
 
0.1%
10055 1
 
0.1%
10106 1
 
0.1%
10110 1
 
0.1%
10113 1
 
0.1%
10130 1
 
0.1%
10224 1
 
0.1%
ValueCountFrequency (%)
487832 1
0.1%
487826 1
0.1%
487816 1
0.1%
487814 1
0.1%
487813 2
0.3%
482100 1
0.1%
472862 1
0.1%
472794 1
0.1%
464895 1
0.1%
464863 2
0.3%

WGS84위도
Real number (ℝ)

MISSING 

Distinct510
Distinct (%)74.6%
Missing94
Missing (%)12.1%
Infinite0
Infinite (%)0.0%
Mean37.479888
Minimum36.976991
Maximum37.856515
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2023-12-11T06:15:00.790723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.976991
5-th percentile37.271603
Q137.385101
median37.410205
Q337.635278
95-th percentile37.788515
Maximum37.856515
Range0.87952371
Interquartile range (IQR)0.25017767

Descriptive statistics

Standard deviation0.16191691
Coefficient of variation (CV)0.0043201012
Kurtosis-0.13184674
Mean37.479888
Median Absolute Deviation (MAD)0.08131768
Skewness0.38965816
Sum25636.243
Variance0.026217085
MonotonicityNot monotonic
2023-12-11T06:15:00.910854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.4012858766 12
 
1.5%
37.4002464768 12
 
1.5%
37.4005799752 8
 
1.0%
37.3851007981 8
 
1.0%
37.4024993827 7
 
0.9%
37.4023543451 6
 
0.8%
37.4003481203 6
 
0.8%
37.5015441631 5
 
0.6%
37.4009584002 5
 
0.6%
37.6558930852 5
 
0.6%
Other values (500) 610
78.4%
(Missing) 94
 
12.1%
ValueCountFrequency (%)
36.976990875 1
0.1%
36.9912953286 1
0.1%
36.9938135701 1
0.1%
37.0004177073 1
0.1%
37.0062250007 1
0.1%
37.0220054755 1
0.1%
37.0732432325 1
0.1%
37.1251185136 1
0.1%
37.1598987631 2
0.3%
37.1667131078 1
0.1%
ValueCountFrequency (%)
37.8565145827 1
0.1%
37.8476175643 1
0.1%
37.847521453 1
0.1%
37.8439829887 2
0.3%
37.8416677107 1
0.1%
37.8401992235 1
0.1%
37.8398739579 1
0.1%
37.8387001872 1
0.1%
37.8354887343 1
0.1%
37.8295641124 1
0.1%

WGS84경도
Real number (ℝ)

MISSING 

Distinct510
Distinct (%)74.6%
Missing94
Missing (%)12.1%
Infinite0
Infinite (%)0.0%
Mean126.9679
Minimum126.57474
Maximum127.44546
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2023-12-11T06:15:01.037392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.57474
5-th percentile126.72889
Q1126.78639
median127.00521
Q3127.11218
95-th percentile127.20077
Maximum127.44546
Range0.8707188
Interquartile range (IQR)0.32579111

Descriptive statistics

Standard deviation0.17371612
Coefficient of variation (CV)0.0013681892
Kurtosis-1.2861372
Mean126.9679
Median Absolute Deviation (MAD)0.14040379
Skewness-0.14029372
Sum86846.044
Variance0.030177289
MonotonicityNot monotonic
2023-12-11T06:15:01.175258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.1104579421 12
 
1.5%
127.1041814095 12
 
1.5%
127.1068799859 8
 
1.0%
127.1227076252 8
 
1.0%
127.1121803681 7
 
0.9%
127.1010970709 6
 
0.8%
127.1049265705 6
 
0.8%
126.7875459075 5
 
0.6%
127.104132471 5
 
0.6%
126.7719705633 5
 
0.6%
Other values (500) 610
78.4%
(Missing) 94
 
12.1%
ValueCountFrequency (%)
126.5747369926 1
 
0.1%
126.575357654 1
 
0.1%
126.5906154635 2
0.3%
126.5920105312 1
 
0.1%
126.5939198246 1
 
0.1%
126.621303491 3
0.4%
126.6455070873 1
 
0.1%
126.6470865504 1
 
0.1%
126.685481563 1
 
0.1%
126.6867305529 1
 
0.1%
ValueCountFrequency (%)
127.4454557903 1
0.1%
127.3904806051 1
0.1%
127.3371077923 1
0.1%
127.3250195101 1
0.1%
127.3153653665 2
0.3%
127.3036949601 1
0.1%
127.3008255187 1
0.1%
127.2969463148 1
0.1%
127.2683122768 1
0.1%
127.2468817549 1
0.1%

업태구분명정보
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing778
Missing (%)100.0%
Memory size7.0 KiB

X좌표값
Real number (ℝ)

MISSING 

Distinct73
Distinct (%)83.9%
Missing691
Missing (%)88.8%
Infinite0
Infinite (%)0.0%
Mean202347.43
Minimum169900.58
Maximum220276.29
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2023-12-11T06:15:01.312217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum169900.58
5-th percentile173395.95
Q1196816.96
median209175.22
Q3210478.92
95-th percentile217658.35
Maximum220276.29
Range50375.71
Interquartile range (IQR)13661.963

Descriptive statistics

Standard deviation13859.871
Coefficient of variation (CV)0.068495415
Kurtosis-0.11615948
Mean202347.43
Median Absolute Deviation (MAD)2237.8639
Skewness-1.0995236
Sum17604227
Variance1.9209603 × 108
MonotonicityNot monotonic
2023-12-11T06:15:01.440988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
210853.833466798 5
 
0.6%
209175.219648183 5
 
0.6%
208205.898152936 4
 
0.5%
209865.086626851 3
 
0.4%
206937.355698415 2
 
0.3%
196965.638220479 1
 
0.1%
208519.648311734 1
 
0.1%
208944.064402815 1
 
0.1%
212094.981993322 1
 
0.1%
218689.745229363 1
 
0.1%
Other values (63) 63
 
8.1%
(Missing) 691
88.8%
ValueCountFrequency (%)
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%
173963.024029031 1
0.1%
175988.122173703 1
0.1%
176322.519491451 1
0.1%
177619.540048587 1
0.1%
178668.321119565 1
0.1%
ValueCountFrequency (%)
220276.286177387 1
0.1%
219078.195213952 1
0.1%
218689.745229363 1
0.1%
218217.988668611 1
0.1%
217919.807743396 1
0.1%
217048.285804714 1
0.1%
216899.922713104 1
0.1%
215913.344216281 1
0.1%
215139.954217956 1
0.1%
214606.128944698 1
0.1%

Y좌표값
Real number (ℝ)

MISSING 

Distinct73
Distinct (%)83.9%
Missing691
Missing (%)88.8%
Infinite0
Infinite (%)0.0%
Mean441150.74
Minimum388645.73
Maximum483912.02
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2023-12-11T06:15:01.555751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum388645.73
5-th percentile420402.91
Q1431447.86
median433190.96
Q3454792.32
95-th percentile476248.26
Maximum483912.02
Range95266.295
Interquartile range (IQR)23344.462

Descriptive statistics

Standard deviation19326.199
Coefficient of variation (CV)0.043808605
Kurtosis0.14843444
Mean441150.74
Median Absolute Deviation (MAD)3363.8171
Skewness0.47815406
Sum38380115
Variance3.7350195 × 108
MonotonicityNot monotonic
2023-12-11T06:15:01.671250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
431447.85813153 5
 
0.6%
433168.261766989 5
 
0.6%
434416.925187776 4
 
0.5%
433190.963698487 3
 
0.4%
432127.07789017 2
 
0.3%
432894.55987045 1
 
0.1%
424833.354561299 1
 
0.1%
424401.151880656 1
 
0.1%
425705.802941671 1
 
0.1%
414882.748423802 1
 
0.1%
Other values (63) 63
 
8.1%
(Missing) 691
88.8%
ValueCountFrequency (%)
388645.726840918 1
0.1%
393461.38126646 1
0.1%
414882.748423802 1
0.1%
418637.849489925 1
0.1%
419705.220937864 1
0.1%
422030.859080362 1
0.1%
424401.151880656 1
0.1%
424833.354561299 1
0.1%
425506.248650417 1
0.1%
425705.802941671 1
0.1%
ValueCountFrequency (%)
483912.021859929 1
0.1%
481918.946270645 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%
474408.746016052 1
0.1%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
게임물배급업
778 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
게임물배급업 778
100.0%

Length

2023-12-11T06:15:01.773823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:15:01.850554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
게임물배급업 778
100.0%

문화사업자구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
유통관련업
778 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 778
100.0%

Length

2023-12-11T06:15:01.931103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:15:02.007713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 778
100.0%

총층수
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
<NA>
701 
0
73 
9
 
2
34
 
1
1
 
1

Length

Max length4
Median length4
Mean length3.7043702
Min length1

Unique

Unique2 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 701
90.1%
0 73
 
9.4%
9 2
 
0.3%
34 1
 
0.1%
1 1
 
0.1%

Length

2023-12-11T06:15:02.097166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:15:02.196863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 701
90.1%
0 73
 
9.4%
9 2
 
0.3%
34 1
 
0.1%
1 1
 
0.1%

주변환경명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)50.0%
Missing776
Missing (%)99.7%
Memory size6.2 KiB
2023-12-11T06:15:02.265464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters4
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row기타
2nd row기타
ValueCountFrequency (%)
기타 2
100.0%
2023-12-11T06:15:02.446152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2
50.0%
2
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2
50.0%
2
50.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2
50.0%
2
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
2
50.0%
2
50.0%
Distinct285
Distinct (%)37.3%
Missing13
Missing (%)1.7%
Memory size6.2 KiB
2023-12-11T06:15:02.600047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length26
Mean length6.5464052
Min length1

Characters and Unicode

Total characters5008
Distinct characters266
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

Unique235 ?
Unique (%)30.7%

Sample

1st row온라인게임,모바일게임
2nd row게임 소프트웨어
3rd row모바일,온라인게임물
4th row경품 뽑기 게임기
5th row모바일게임
ValueCountFrequency (%)
게임물 223
20.7%
게임 111
 
10.3%
모바일게임 47
 
4.4%
온라인게임 46
 
4.3%
게임기 38
 
3.5%
온라인 36
 
3.3%
35
 
3.2%
소프트웨어 31
 
2.9%
아케이드 28
 
2.6%
모바일 25
 
2.3%
Other values (273) 458
42.5%
2023-12-11T06:15:02.897676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
729
 
14.6%
726
 
14.5%
313
 
6.2%
289
 
5.8%
171
 
3.4%
160
 
3.2%
154
 
3.1%
152
 
3.0%
, 116
 
2.3%
113
 
2.3%
Other values (256) 2085
41.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4360
87.1%
Space Separator 313
 
6.2%
Other Punctuation 126
 
2.5%
Uppercase Letter 126
 
2.5%
Lowercase Letter 34
 
0.7%
Open Punctuation 18
 
0.4%
Close Punctuation 18
 
0.4%
Decimal Number 8
 
0.2%
Dash Punctuation 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
729
16.7%
726
16.7%
289
 
6.6%
171
 
3.9%
160
 
3.7%
154
 
3.5%
152
 
3.5%
113
 
2.6%
103
 
2.4%
101
 
2.3%
Other values (211) 1662
38.1%
Uppercase Letter
ValueCountFrequency (%)
R 17
13.5%
P 16
12.7%
V 15
11.9%
C 14
11.1%
D 7
 
5.6%
G 7
 
5.6%
O 7
 
5.6%
E 7
 
5.6%
L 6
 
4.8%
M 5
 
4.0%
Other values (9) 25
19.8%
Lowercase Letter
ValueCountFrequency (%)
p 5
14.7%
e 5
14.7%
n 4
11.8%
c 4
11.8%
m 3
8.8%
a 3
8.8%
t 2
 
5.9%
s 2
 
5.9%
i 2
 
5.9%
w 1
 
2.9%
Other values (3) 3
8.8%
Decimal Number
ValueCountFrequency (%)
3 3
37.5%
2 2
25.0%
1 1
 
12.5%
4 1
 
12.5%
5 1
 
12.5%
Other Punctuation
ValueCountFrequency (%)
, 116
92.1%
. 5
 
4.0%
/ 4
 
3.2%
· 1
 
0.8%
Space Separator
ValueCountFrequency (%)
313
100.0%
Open Punctuation
ValueCountFrequency (%)
( 18
100.0%
Close Punctuation
ValueCountFrequency (%)
) 18
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4360
87.1%
Common 488
 
9.7%
Latin 160
 
3.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
729
16.7%
726
16.7%
289
 
6.6%
171
 
3.9%
160
 
3.7%
154
 
3.5%
152
 
3.5%
113
 
2.6%
103
 
2.4%
101
 
2.3%
Other values (211) 1662
38.1%
Latin
ValueCountFrequency (%)
R 17
 
10.6%
P 16
 
10.0%
V 15
 
9.4%
C 14
 
8.8%
D 7
 
4.4%
G 7
 
4.4%
O 7
 
4.4%
E 7
 
4.4%
L 6
 
3.8%
M 5
 
3.1%
Other values (22) 59
36.9%
Common
ValueCountFrequency (%)
313
64.1%
, 116
 
23.8%
( 18
 
3.7%
) 18
 
3.7%
. 5
 
1.0%
- 5
 
1.0%
/ 4
 
0.8%
3 3
 
0.6%
2 2
 
0.4%
· 1
 
0.2%
Other values (3) 3
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4360
87.1%
ASCII 647
 
12.9%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
729
16.7%
726
16.7%
289
 
6.6%
171
 
3.9%
160
 
3.7%
154
 
3.5%
152
 
3.5%
113
 
2.6%
103
 
2.4%
101
 
2.3%
Other values (211) 1662
38.1%
ASCII
ValueCountFrequency (%)
313
48.4%
, 116
 
17.9%
( 18
 
2.8%
) 18
 
2.8%
R 17
 
2.6%
P 16
 
2.5%
V 15
 
2.3%
C 14
 
2.2%
D 7
 
1.1%
G 7
 
1.1%
Other values (34) 106
 
16.4%
None
ValueCountFrequency (%)
· 1
100.0%

시설면적(㎡)
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct500
Distinct (%)67.5%
Missing37
Missing (%)4.8%
Infinite0
Infinite (%)0.0%
Mean470.54077
Minimum0
Maximum101661.51
Zeros25
Zeros (%)3.2%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2023-12-11T06:15:03.042120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.3
Q133
median78
Q3198
95-th percentile1500
Maximum101661.51
Range101661.51
Interquartile range (IQR)165

Descriptive statistics

Standard deviation3867.9673
Coefficient of variation (CV)8.2202597
Kurtosis635.87913
Mean470.54077
Median Absolute Deviation (MAD)58
Skewness24.448403
Sum348670.71
Variance14961171
MonotonicityNot monotonic
2023-12-11T06:15:03.183649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 25
 
3.2%
30.0 19
 
2.4%
3.3 14
 
1.8%
10.0 14
 
1.8%
33.0 13
 
1.7%
66.0 10
 
1.3%
50.0 10
 
1.3%
15.0 9
 
1.2%
198.0 7
 
0.9%
1500.0 6
 
0.8%
Other values (490) 614
78.9%
(Missing) 37
 
4.8%
ValueCountFrequency (%)
0.0 25
3.2%
1.0 5
 
0.6%
3.0 2
 
0.3%
3.3 14
1.8%
3.87 1
 
0.1%
4.35 1
 
0.1%
4.7 1
 
0.1%
5.0 2
 
0.3%
5.49 1
 
0.1%
5.5 1
 
0.1%
ValueCountFrequency (%)
101661.51 1
 
0.1%
18656.0 1
 
0.1%
8500.0 1
 
0.1%
6704.33 1
 
0.1%
6600.0 2
0.3%
6200.28 1
 
0.1%
5676.62 1
 
0.1%
4922.0 1
 
0.1%
4238.84 3
0.4%
3577.97 1
 
0.1%

지상층수
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
<NA>
701 
0
73 
7
 
2
28
 
1
1
 
1

Length

Max length4
Median length4
Mean length3.7043702
Min length1

Unique

Unique2 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 701
90.1%
0 73
 
9.4%
7 2
 
0.3%
28 1
 
0.1%
1 1
 
0.1%

Length

2023-12-11T06:15:03.313824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:15:03.422701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 701
90.1%
0 73
 
9.4%
7 2
 
0.3%
28 1
 
0.1%
1 1
 
0.1%

지하층수
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
<NA>
701 
0
73 
2
 
2
6
 
1
1
 
1

Length

Max length4
Median length4
Mean length3.7030848
Min length1

Unique

Unique2 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 701
90.1%
0 73
 
9.4%
2 2
 
0.3%
6 1
 
0.1%
1 1
 
0.1%

Length

2023-12-11T06:15:03.565597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:15:03.700757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 701
90.1%
0 73
 
9.4%
2 2
 
0.3%
6 1
 
0.1%
1 1
 
0.1%

건물용도명
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing776
Missing (%)99.7%
Memory size6.2 KiB
2023-12-11T06:15:03.876241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5
Mean length5
Min length4

Characters and Unicode

Total characters10
Distinct characters7
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)100.0%

Sample

1st row근린생활시설
2nd row생산시설
ValueCountFrequency (%)
근린생활시설 1
50.0%
생산시설 1
50.0%
2023-12-11T06:15:04.201293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2
20.0%
2
20.0%
2
20.0%
1
10.0%
1
10.0%
1
10.0%
1
10.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2
20.0%
2
20.0%
2
20.0%
1
10.0%
1
10.0%
1
10.0%
1
10.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2
20.0%
2
20.0%
2
20.0%
1
10.0%
1
10.0%
1
10.0%
1
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
2
20.0%
2
20.0%
2
20.0%
1
10.0%
1
10.0%
1
10.0%
1
10.0%

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
<NA>
701 
0
77 

Length

Max length4
Median length4
Mean length3.7030848
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 701
90.1%
0 77
 
9.9%

Length

2023-12-11T06:15:04.344411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:15:04.451677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 701
90.1%
0 77
 
9.9%

조명시설조도량
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
<NA>
701 
0
77 

Length

Max length4
Median length4
Mean length3.7030848
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 701
90.1%
0 77
 
9.9%

Length

2023-12-11T06:15:04.588458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:15:04.717610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 701
90.1%
0 77
 
9.9%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
<NA>
701 
0
77 

Length

Max length4
Median length4
Mean length3.7030848
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 701
90.1%
0 77
 
9.9%

Length

2023-12-11T06:15:04.845778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:15:04.971733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 701
90.1%
0 77
 
9.9%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
<NA>
701 
0
77 

Length

Max length4
Median length4
Mean length3.7030848
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 701
90.1%
0 77
 
9.9%

Length

2023-12-11T06:15:05.099856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:15:05.192392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 701
90.1%
0 77
 
9.9%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing778
Missing (%)100.0%
Memory size7.0 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing778
Missing (%)100.0%
Memory size7.0 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing778
Missing (%)100.0%
Memory size7.0 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing778
Missing (%)100.0%
Memory size7.0 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing778
Missing (%)100.0%
Memory size7.0 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing778
Missing (%)100.0%
Memory size7.0 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing778
Missing (%)100.0%
Memory size7.0 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing778
Missing (%)100.0%
Memory size7.0 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing778
Missing (%)100.0%
Memory size7.0 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing778
Missing (%)100.0%
Memory size7.0 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing778
Missing (%)100.0%
Memory size7.0 KiB

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
<NA>
701 
0
77 

Length

Max length4
Median length4
Mean length3.7030848
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 701
90.1%
0 77
 
9.9%

Length

2023-12-11T06:15:05.311250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:15:05.446762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 701
90.1%
0 77
 
9.9%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing778
Missing (%)100.0%
Memory size7.0 KiB

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing778
Missing (%)100.0%
Memory size7.0 KiB

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing778
Missing (%)100.0%
Memory size7.0 KiB

Sample

시군명사업장명인허가일자인허가취소일자영업상태구분코드영업상태명폐업일자소재지시설전화번호소재지면적정보도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도업태구분명정보X좌표값Y좌표값문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적(㎡)지상층수지하층수건물용도명통로너비조명시설조도량노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명
0고양시주식회사 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>게임물배급업유통관련업0<NA>온라인게임,모바일게임90.700<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA>
1고양시주식회사 페퍼로니콘2023-12-01<NA>13영업중<NA><NA><NA>10576경기도 고양시 덕양구 오금로 ***, ***동 *호 (오금동)경기도 고양시 덕양구 오금동 ***<NA><NA><NA><NA>192235.548017462422.398391게임물배급업유통관련업0<NA>게임 소프트웨어35.4200<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA>
2고양시(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>게임물배급업유통관련업0<NA>모바일,온라인게임물292.7100<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA>
3고양시비앤비 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>183602.870092465145.114191게임물배급업유통관련업0<NA>경품 뽑기 게임기150.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA>
4고양시(주)와이즈비젼20111028<NA><NA>운영중<NA><NA><NA><NA>경기도 고양시 일산서구 중앙로 ****, ***,***호 (대화동, 메드위즈)경기도 고양시 일산서구 대화동 ****-*번지 메드위즈빌딩 ***호 일부, ***호 일부1038137.675624126.747715<NA><NA><NA>게임물배급업유통관련업<NA><NA>모바일게임5.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
5고양시에이치전자20120313<NA><NA>운영중<NA><NA><NA><NA>경기도 고양시 덕양구 고양대로****번길 **-* (성사동)경기도 고양시 덕양구 성사동 ***-*번지 지하층1046437.655603126.837523<NA><NA><NA>게임물배급업유통관련업<NA><NA>아케이드,온라인 게임66.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
6고양시제로20120530<NA><NA>운영중<NA><NA><NA><NA>경기도 고양시 일산동구 강석로 ***, ***-***호 (마두동, 축협빌딩)경기도 고양시 일산동구 마두동 ***-*번지 축협빌딩 ***-***호1041437.653496126.7779<NA><NA><NA>게임물배급업유통관련업<NA><NA>온라인 게임16.52<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
7고양시(주)스노우볼게임즈20120717<NA><NA>운영중<NA><NA><NA><NA>경기도 고양시 일산동구 호수로 ***-**, ***호 (백석동, 동문굿모닝타워*차)경기도 고양시 일산동구 백석동 ****번지 동문굿모닝타워*차 ***호1044937.639927126.78617<NA><NA><NA>게임물배급업유통관련업<NA><NA>온라인게임73.12<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8고양시(주)파티20150309<NA><NA>운영중<NA><NA><NA><NA>경기도 고양시 일산동구 일산로 **, ****호 (백석동, 효성레제스오피스텔)경기도 고양시 일산동구 백석동 ****-*번지 효성레제스오피스텔 ****호1044937.641445126.786767<NA><NA><NA>게임물배급업유통관련업<NA><NA>모바일게임, 소아이템중개44.87<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
9고양시게임랜드20150821<NA><NA>운영중<NA><NA><NA><NA>경기도 고양시 덕양구 화신로***번길 **, B**, B**호 (화정동, 성보월드프라자)경기도 고양시 덕양구 화정동 ***번지 성보월드프라자 B**,호1050037.63257126.831891<NA><NA><NA>게임물배급업유통관련업<NA><NA>중국산 게임기439.47<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
시군명사업장명인허가일자인허가취소일자영업상태구분코드영업상태명폐업일자소재지시설전화번호소재지면적정보도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도업태구분명정보X좌표값Y좌표값문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적(㎡)지상층수지하층수건물용도명통로너비조명시설조도량노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명
768하남시JnS 엔터테인먼트20170330<NA><NA>운영중<NA><NA><NA><NA>경기도 하남시 서하남로 *** (감일동)경기도 하남시 감일동 ***-**번지1299037.514685127.159364<NA><NA><NA>게임물배급업유통관련업<NA><NA>소프트웨어개발,게임기기928.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
769하남시주식회사 프리다츠2020-10-20<NA>15전출2023-11-09<NA><NA>12900경기도 하남시 미사동로 **-* (미사동)경기도 하남시 미사동 ***-*12900<NA><NA><NA>217919.807743452475.830698게임물배급업유통관련업0<NA>전 연령 VR게임231.2900<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA>
770하남시오케이 게임넷20120601<NA><NA>폐업 등20170412<NA><NA><NA>경기도 하남시 풍초로 ** (풍산동)경기도 하남시 풍산동 ***-**번지1298337.545736127.192063<NA><NA><NA>게임물배급업유통관련업<NA><NA>게임물(온라인 및 아케이드 게임)26.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
771하남시SK Arcade20171013<NA><NA>폐업 등20171019<NA><NA><NA>경기도 하남시 서하남로**번길 **-* (감북동)경기도 하남시 감북동 **-**번지1299137.518408127.147261<NA><NA><NA>게임물배급업유통관련업<NA><NA>게임기기16.5<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
772화성시부용ENG20080324<NA><NA>운영중<NA><NA><NA><NA>경기도 화성시 병점*로 ***-** (병점동)경기도 화성시 병점동 ***번지 태안프라자 ***호1840537.214108127.043607<NA><NA><NA>게임물배급업유통관련업<NA><NA>아케이드게임물(인형뽑기)10.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
773화성시(주)리앤팍스20170410<NA><NA>운영중<NA><NA><NA><NA>경기도 화성시 삼성*로 ***-*, *층 (반월동)경기도 화성시 반월동 ***번지1838037.232237127.068108<NA><NA><NA>게임물배급업유통관련업<NA><NA>게임,전자제품, 전자기기12.5<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
774화성시제이와이소프트20160216<NA><NA>운영중<NA><NA><NA><NA>경기도 화성시 동탄반송*길 **-** (반송동)경기도 화성시 반송동 **-**번지1843437.21061127.065165<NA><NA><NA>게임물배급업유통관련업<NA><NA>아케이드122.2<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
775화성시기드온(주)20180312<NA><NA>운영중<NA><NA><NA><NA>경기도 화성시 노작로 ***, B**호 (반송동)경기도 화성시 반송동 **-*번지1845437.203672127.07342<NA><NA><NA>게임물배급업유통관련업<NA><NA>완구류, 게임기132.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
776화성시대원테크20141124<NA><NA>운영중<NA><NA><NA><NA>경기도 화성시 동탄지성로 ***-** (기산동)경기도 화성시 기산동 ***-**번지1839537.223546127.048465<NA><NA><NA>게임물배급업유통관련업<NA><NA>아케이드35.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
777화성시기호엔지니어링20060802<NA><NA>운영중<NA><NA><NA><NA>경기도 화성시 온석길 **-* (온석동)경기도 화성시 남양읍 온석리 ***-**번지1827937.166713126.849023<NA><NA><NA>게임물배급업유통관련업<NA><NA>게임물62.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>