Overview

Dataset statistics

Number of variables45
Number of observations182
Missing cells4364
Missing cells (%)53.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory70.0 KiB
Average record size in memory393.7 B

Variable types

Categorical13
Text6
DateTime2
Unsupported18
Numeric6

Dataset

Description비디오물 배급업체 현황
Author행정안전부
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=7DBBH534M98791Y39T531929257&infSeq=1

Alerts

문화체육업종명 has constant value ""Constant
영업상태구분코드 is highly imbalanced (64.6%)Imbalance
인허가취소일자 has 182 (100.0%) missing valuesMissing
폐업일자 has 145 (79.7%) missing valuesMissing
소재지시설전화번호 has 174 (95.6%) missing valuesMissing
소재지면적정보 has 182 (100.0%) missing valuesMissing
도로명우편번호 has 150 (82.4%) missing valuesMissing
소재지도로명주소 has 6 (3.3%) missing valuesMissing
소재지우편번호 has 27 (14.8%) missing valuesMissing
WGS84위도 has 32 (17.6%) missing valuesMissing
WGS84경도 has 32 (17.6%) missing valuesMissing
업태구분명정보 has 182 (100.0%) missing valuesMissing
X좌표값 has 155 (85.2%) missing valuesMissing
Y좌표값 has 155 (85.2%) missing valuesMissing
주변환경명 has 182 (100.0%) missing valuesMissing
제작취급품목내용 has 150 (82.4%) missing valuesMissing
시설면적(㎡) has 62 (34.1%) missing valuesMissing
비상계단여부 has 182 (100.0%) missing valuesMissing
비상구여부 has 182 (100.0%) missing valuesMissing
자동환기여부 has 182 (100.0%) missing valuesMissing
청소년실여부 has 182 (100.0%) missing valuesMissing
특수조명여부 has 182 (100.0%) missing valuesMissing
방음시설여부 has 182 (100.0%) missing valuesMissing
조명시설유무 has 182 (100.0%) missing valuesMissing
음향시설여부 has 182 (100.0%) missing valuesMissing
편의시설여부 has 182 (100.0%) missing valuesMissing
소방시설여부 has 182 (100.0%) missing valuesMissing
기존게임업외업종명 has 182 (100.0%) missing valuesMissing
제공게임물명 has 182 (100.0%) missing valuesMissing
공연장형태구분명 has 182 (100.0%) missing valuesMissing
품목명 has 182 (100.0%) missing valuesMissing
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적정보 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명정보 is an unsupported type, check if it needs cleaning or further analysisUnsupported
주변환경명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
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
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
품목명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
시설면적(㎡) has 2 (1.1%) zerosZeros

Reproduction

Analysis started2023-12-10 21:51:35.648140
Analysis finished2023-12-10 21:51:36.321126
Duration0.67 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

Distinct27
Distinct (%)14.8%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
고양시
35 
성남시
31 
안양시
21 
파주시
15 
수원시
12 
Other values (22)
68 

Length

Max length4
Median length3
Mean length3.021978
Min length3

Unique

Unique7 ?
Unique (%)3.8%

Sample

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

Common Values

ValueCountFrequency (%)
고양시 35
19.2%
성남시 31
17.0%
안양시 21
11.5%
파주시 15
8.2%
수원시 12
 
6.6%
군포시 8
 
4.4%
부천시 8
 
4.4%
안산시 6
 
3.3%
광주시 6
 
3.3%
용인시 6
 
3.3%
Other values (17) 34
18.7%

Length

2023-12-11T06:51:36.374125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
고양시 35
19.2%
성남시 31
17.0%
안양시 21
11.5%
파주시 15
8.2%
수원시 12
 
6.6%
군포시 8
 
4.4%
부천시 8
 
4.4%
안산시 6
 
3.3%
광주시 6
 
3.3%
용인시 6
 
3.3%
Other values (17) 34
18.7%

사업장명
Text

Distinct177
Distinct (%)97.3%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2023-12-11T06:51:36.558419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length19
Mean length8.4175824
Min length2

Characters and Unicode

Total characters1532
Distinct characters299
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique173 ?
Unique (%)95.1%

Sample

1st row디바인
2nd row미디어 윌(Will)
3rd row걸리버픽처스
4th row온오프링크 주식회사
5th row(주)케이알씨지
ValueCountFrequency (%)
주식회사 29
 
11.7%
주 5
 
2.0%
주)다우기술 3
 
1.2%
미디어 3
 
1.2%
교보핫트랙스(주 2
 
0.8%
주)오콘 2
 
0.8%
커뮤니케이션 2
 
0.8%
주)비앤에프엔자임하우스 2
 
0.8%
four 2
 
0.8%
픽쳐스 2
 
0.8%
Other values (196) 196
79.0%
2023-12-11T06:51:36.849566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 116
 
7.6%
) 89
 
5.8%
( 87
 
5.7%
66
 
4.3%
스 54
 
3.5%
이 41
 
2.7%
디 38
 
2.5%
사 37
 
2.4%
회 36
 
2.3%
식 33
 
2.2%
Other values (289) 935
61.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1186
77.4%
Close Punctuation 89
 
5.8%
Open Punctuation 87
 
5.7%
Uppercase Letter 77
 
5.0%
Space Separator 66
 
4.3%
Lowercase Letter 23
 
1.5%
Other Punctuation 3
 
0.2%
Decimal Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 116
 
9.8%
스 54
 
4.6%
이 41
 
3.5%
디 38
 
3.2%
사 37
 
3.1%
회 36
 
3.0%
식 33
 
2.8%
미 32
 
2.7%
어 29
 
2.4%
리 23
 
1.9%
Other values (248) 747
63.0%
Uppercase Letter
ValueCountFrequency (%)
A 7
 
9.1%
O 7
 
9.1%
M 7
 
9.1%
I 6
 
7.8%
N 6
 
7.8%
T 6
 
7.8%
V 5
 
6.5%
R 3
 
3.9%
F 3
 
3.9%
J 3
 
3.9%
Other values (12) 24
31.2%
Lowercase Letter
ValueCountFrequency (%)
o 4
17.4%
u 3
13.0%
r 3
13.0%
i 3
13.0%
l 2
8.7%
n 1
 
4.3%
t 1
 
4.3%
c 1
 
4.3%
d 1
 
4.3%
p 1
 
4.3%
Other values (3) 3
13.0%
Other Punctuation
ValueCountFrequency (%)
. 2
66.7%
& 1
33.3%
Close Punctuation
ValueCountFrequency (%)
) 89
100.0%
Open Punctuation
ValueCountFrequency (%)
( 87
100.0%
Space Separator
ValueCountFrequency (%)
66
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1186
77.4%
Common 246
 
16.1%
Latin 100
 
6.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 116
 
9.8%
스 54
 
4.6%
이 41
 
3.5%
디 38
 
3.2%
사 37
 
3.1%
회 36
 
3.0%
식 33
 
2.8%
미 32
 
2.7%
어 29
 
2.4%
리 23
 
1.9%
Other values (248) 747
63.0%
Latin
ValueCountFrequency (%)
A 7
 
7.0%
O 7
 
7.0%
M 7
 
7.0%
I 6
 
6.0%
N 6
 
6.0%
T 6
 
6.0%
V 5
 
5.0%
o 4
 
4.0%
u 3
 
3.0%
R 3
 
3.0%
Other values (25) 46
46.0%
Common
ValueCountFrequency (%)
) 89
36.2%
( 87
35.4%
66
26.8%
. 2
 
0.8%
2 1
 
0.4%
& 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1186
77.4%
ASCII 346
 
22.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 116
 
9.8%
스 54
 
4.6%
이 41
 
3.5%
디 38
 
3.2%
사 37
 
3.1%
회 36
 
3.0%
식 33
 
2.8%
미 32
 
2.7%
어 29
 
2.4%
리 23
 
1.9%
Other values (248) 747
63.0%
ASCII
ValueCountFrequency (%)
) 89
25.7%
( 87
25.1%
66
19.1%
A 7
 
2.0%
O 7
 
2.0%
M 7
 
2.0%
I 6
 
1.7%
N 6
 
1.7%
T 6
 
1.7%
V 5
 
1.4%
Other values (31) 60
17.3%

인허가일자
Date

Distinct172
Distinct (%)94.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
Minimum1999-12-24 00:00:00
Maximum2023-12-01 00:00:00
2023-12-11T06:51:36.961508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:51:37.068269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing182
Missing (%)100.0%
Memory size1.7 KiB

영업상태구분코드
Categorical

IMBALANCE 

Distinct5
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
150 
13
27 
3
 
2
15
 
2
35
 
1

Length

Max length4
Median length4
Mean length3.6373626
Min length1

Unique

Unique1 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 150
82.4%
13 27
 
14.8%
3 2
 
1.1%
15 2
 
1.1%
35 1
 
0.5%

Length

2023-12-11T06:51:37.178498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:51:37.477753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 150
82.4%
13 27
 
14.8%
3 2
 
1.1%
15 2
 
1.1%
35 1
 
0.5%

영업상태명
Categorical

Distinct6
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
운영중
118 
폐업 등
32 
영업중
27 
폐업
 
2
전출
 
2

Length

Max length4
Median length3
Mean length3.1593407
Min length2

Unique

Unique1 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
운영중 118
64.8%
폐업 등 32
 
17.6%
영업중 27
 
14.8%
폐업 2
 
1.1%
전출 2
 
1.1%
직권말소 1
 
0.5%

Length

2023-12-11T06:51:37.575469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:51:37.670189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
운영중 118
55.1%
폐업 34
 
15.9%
등 32
 
15.0%
영업중 27
 
12.6%
전출 2
 
0.9%
직권말소 1
 
0.5%

폐업일자
Date

MISSING 

Distinct37
Distinct (%)100.0%
Missing145
Missing (%)79.7%
Memory size1.6 KiB
Minimum2007-01-24 00:00:00
Maximum2023-12-01 00:00:00
2023-12-11T06:51:37.761694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:51:37.861991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)

소재지시설전화번호
Text

MISSING 

Distinct8
Distinct (%)100.0%
Missing174
Missing (%)95.6%
Memory size1.6 KiB
2023-12-11T06:51:38.003959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12.5
Mean length12
Min length9

Characters and Unicode

Total characters96
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

Unique8 ?
Unique (%)100.0%

Sample

1st row031-962-5404
2nd row070-7919-3399
3rd row031-919-2155
4th row031-568-8802
5th row1577-9156
ValueCountFrequency (%)
031-962-5404 1
12.5%
070-7919-3399 1
12.5%
031-919-2155 1
12.5%
031-568-8802 1
12.5%
1577-9156 1
12.5%
031-391-1255 1
12.5%
031-8018-0800 1
12.5%
070-8707-1018 1
12.5%
2023-12-11T06:51:38.273342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 17
17.7%
1 15
15.6%
- 15
15.6%
9 9
9.4%
3 8
8.3%
5 8
8.3%
8 8
8.3%
7 7
7.3%
2 4
 
4.2%
6 3
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 81
84.4%
Dash Punctuation 15
 
15.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 17
21.0%
1 15
18.5%
9 9
11.1%
3 8
9.9%
5 8
9.9%
8 8
9.9%
7 7
8.6%
2 4
 
4.9%
6 3
 
3.7%
4 2
 
2.5%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 96
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 17
17.7%
1 15
15.6%
- 15
15.6%
9 9
9.4%
3 8
8.3%
5 8
8.3%
8 8
8.3%
7 7
7.3%
2 4
 
4.2%
6 3
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 96
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 17
17.7%
1 15
15.6%
- 15
15.6%
9 9
9.4%
3 8
8.3%
5 8
8.3%
8 8
8.3%
7 7
7.3%
2 4
 
4.2%
6 3
 
3.1%

소재지면적정보
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing182
Missing (%)100.0%
Memory size1.7 KiB

도로명우편번호
Text

MISSING 

Distinct30
Distinct (%)93.8%
Missing150
Missing (%)82.4%
Memory size1.6 KiB
2023-12-11T06:51:38.433295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.0625
Min length5

Characters and Unicode

Total characters162
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

Unique29 ?
Unique (%)90.6%

Sample

1st row10585
2nd row10564
3rd row10387
4th row10401
5th row10592
ValueCountFrequency (%)
10881 3
 
9.4%
13544 1
 
3.1%
10585 1
 
3.1%
13453 1
 
3.1%
12925 1
 
3.1%
11167 1
 
3.1%
17827 1
 
3.1%
10888 1
 
3.1%
11757 1
 
3.1%
448-547 1
 
3.1%
Other values (20) 20
62.5%
2023-12-11T06:51:38.696984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 46
28.4%
8 18
 
11.1%
0 16
 
9.9%
5 16
 
9.9%
4 15
 
9.3%
3 13
 
8.0%
7 12
 
7.4%
2 12
 
7.4%
9 7
 
4.3%
6 6
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 161
99.4%
Dash Punctuation 1
 
0.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 46
28.6%
8 18
 
11.2%
0 16
 
9.9%
5 16
 
9.9%
4 15
 
9.3%
3 13
 
8.1%
7 12
 
7.5%
2 12
 
7.5%
9 7
 
4.3%
6 6
 
3.7%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 162
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 46
28.4%
8 18
 
11.1%
0 16
 
9.9%
5 16
 
9.9%
4 15
 
9.3%
3 13
 
8.0%
7 12
 
7.4%
2 12
 
7.4%
9 7
 
4.3%
6 6
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 162
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 46
28.4%
8 18
 
11.1%
0 16
 
9.9%
5 16
 
9.9%
4 15
 
9.3%
3 13
 
8.0%
7 12
 
7.4%
2 12
 
7.4%
9 7
 
4.3%
6 6
 
3.7%

소재지도로명주소
Text

MISSING 

Distinct172
Distinct (%)97.7%
Missing6
Missing (%)3.3%
Memory size1.6 KiB
2023-12-11T06:51:38.908549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length63
Median length43
Mean length35.744318
Min length18

Characters and Unicode

Total characters6291
Distinct characters292
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique168 ?
Unique (%)95.5%

Sample

1st row경기도 고양시 덕양구 오부자로 ***, ***동 ****호 (지축동, 엘에이치*단지)
2nd row경기도 고양시 덕양구 권율대로 ***, 클래시아 더 퍼스트 ****호 (원흥동)
3rd row경기도 고양시 일산서구 중앙로 ****, ***-*호 (주엽동)
4th row경기도 고양시 일산동구 무궁화로 **-**, 로데오탑 ***호 (장항동)
5th row경기도 고양시 덕양구 삼송로 ***, 힐스테이트삼송역스칸센 ***동 ****호 (삼송동)
ValueCountFrequency (%)
177
 
14.3%
경기도 176
 
14.2%
호 94
 
7.6%
고양시 34
 
2.7%
성남시 31
 
2.5%
층 28
 
2.3%
분당구 26
 
2.1%
안양시 20
 
1.6%
동 19
 
1.5%
일산동구 18
 
1.5%
Other values (393) 618
49.8%
2023-12-11T06:51:39.231466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1111
17.7%
* 1086
17.3%
동 248
 
3.9%
, 215
 
3.4%
시 187
 
3.0%
경 182
 
2.9%
기 179
 
2.8%
도 178
 
2.8%
) 164
 
2.6%
( 164
 
2.6%
Other values (282) 2577
41.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3481
55.3%
Other Punctuation 1301
 
20.7%
Space Separator 1111
 
17.7%
Close Punctuation 164
 
2.6%
Open Punctuation 164
 
2.6%
Dash Punctuation 46
 
0.7%
Uppercase Letter 23
 
0.4%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 248
 
7.1%
시 187
 
5.4%
경 182
 
5.2%
기 179
 
5.1%
도 178
 
5.1%
로 158
 
4.5%
호 113
 
3.2%
구 111
 
3.2%
양 85
 
2.4%
길 66
 
1.9%
Other values (266) 1974
56.7%
Uppercase Letter
ValueCountFrequency (%)
B 8
34.8%
A 5
21.7%
D 3
 
13.0%
G 2
 
8.7%
L 1
 
4.3%
H 1
 
4.3%
S 1
 
4.3%
T 1
 
4.3%
K 1
 
4.3%
Other Punctuation
ValueCountFrequency (%)
* 1086
83.5%
, 215
 
16.5%
Space Separator
ValueCountFrequency (%)
1111
100.0%
Close Punctuation
ValueCountFrequency (%)
) 164
100.0%
Open Punctuation
ValueCountFrequency (%)
( 164
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 46
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3481
55.3%
Common 2787
44.3%
Latin 23
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 248
 
7.1%
시 187
 
5.4%
경 182
 
5.2%
기 179
 
5.1%
도 178
 
5.1%
로 158
 
4.5%
호 113
 
3.2%
구 111
 
3.2%
양 85
 
2.4%
길 66
 
1.9%
Other values (266) 1974
56.7%
Latin
ValueCountFrequency (%)
B 8
34.8%
A 5
21.7%
D 3
 
13.0%
G 2
 
8.7%
L 1
 
4.3%
H 1
 
4.3%
S 1
 
4.3%
T 1
 
4.3%
K 1
 
4.3%
Common
ValueCountFrequency (%)
1111
39.9%
* 1086
39.0%
, 215
 
7.7%
) 164
 
5.9%
( 164
 
5.9%
- 46
 
1.7%
~ 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3481
55.3%
ASCII 2810
44.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1111
39.5%
* 1086
38.6%
, 215
 
7.7%
) 164
 
5.8%
( 164
 
5.8%
- 46
 
1.6%
B 8
 
0.3%
A 5
 
0.2%
D 3
 
0.1%
G 2
 
0.1%
Other values (6) 6
 
0.2%
Hangul
ValueCountFrequency (%)
동 248
 
7.1%
시 187
 
5.4%
경 182
 
5.2%
기 179
 
5.1%
도 178
 
5.1%
로 158
 
4.5%
호 113
 
3.2%
구 111
 
3.2%
양 85
 
2.4%
길 66
 
1.9%
Other values (266) 1974
56.7%

소재지지번주소
Text

Distinct173
Distinct (%)95.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2023-12-11T06:51:39.443554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length38
Mean length28.225275
Min length11

Characters and Unicode

Total characters5137
Distinct characters261
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique167 ?
Unique (%)91.8%

Sample

1st row경기도 고양시 덕양구 지축동 **** 엘에이치*단지 ***동 ****호
2nd row경기도 고양시 덕양구 원흥동 ***-* 클래시아 더 퍼스트 ****호
3rd row경기도 고양시 일산서구 주엽동 **-* 서현프라자
4th row경기도 고양시 일산동구 장항동 *** 로데오탑 ***호
5th row경기도 고양시 덕양구 삼송동 *** 힐스테이트삼송역스칸센
ValueCountFrequency (%)
경기도 182
 
16.9%
번지 144
 
13.4%
호 72
 
6.7%
고양시 35
 
3.2%
34
 
3.2%
성남시 31
 
2.9%
분당구 26
 
2.4%
안양시 21
 
1.9%
일산동구 19
 
1.8%
동 17
 
1.6%
Other values (266) 497
46.1%
2023-12-11T06:51:39.770284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 1025
20.0%
921
17.9%
동 236
 
4.6%
시 191
 
3.7%
경 184
 
3.6%
기 184
 
3.6%
도 183
 
3.6%
지 167
 
3.3%
번 144
 
2.8%
구 114
 
2.2%
Other values (251) 1788
34.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3056
59.5%
Other Punctuation 1029
 
20.0%
Space Separator 921
 
17.9%
Dash Punctuation 114
 
2.2%
Uppercase Letter 15
 
0.3%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 236
 
7.7%
시 191
 
6.2%
경 184
 
6.0%
기 184
 
6.0%
도 183
 
6.0%
지 167
 
5.5%
번 144
 
4.7%
구 114
 
3.7%
호 87
 
2.8%
양 86
 
2.8%
Other values (238) 1480
48.4%
Uppercase Letter
ValueCountFrequency (%)
B 5
33.3%
A 3
20.0%
D 2
 
13.3%
S 2
 
13.3%
G 1
 
6.7%
L 1
 
6.7%
K 1
 
6.7%
Other Punctuation
ValueCountFrequency (%)
* 1025
99.6%
, 4
 
0.4%
Space Separator
ValueCountFrequency (%)
921
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 114
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3056
59.5%
Common 2066
40.2%
Latin 15
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 236
 
7.7%
시 191
 
6.2%
경 184
 
6.0%
기 184
 
6.0%
도 183
 
6.0%
지 167
 
5.5%
번 144
 
4.7%
구 114
 
3.7%
호 87
 
2.8%
양 86
 
2.8%
Other values (238) 1480
48.4%
Latin
ValueCountFrequency (%)
B 5
33.3%
A 3
20.0%
D 2
 
13.3%
S 2
 
13.3%
G 1
 
6.7%
L 1
 
6.7%
K 1
 
6.7%
Common
ValueCountFrequency (%)
* 1025
49.6%
921
44.6%
- 114
 
5.5%
, 4
 
0.2%
) 1
 
< 0.1%
( 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3056
59.5%
ASCII 2081
40.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 1025
49.3%
921
44.3%
- 114
 
5.5%
B 5
 
0.2%
, 4
 
0.2%
A 3
 
0.1%
D 2
 
0.1%
S 2
 
0.1%
) 1
 
< 0.1%
G 1
 
< 0.1%
Other values (3) 3
 
0.1%
Hangul
ValueCountFrequency (%)
동 236
 
7.7%
시 191
 
6.2%
경 184
 
6.0%
기 184
 
6.0%
도 183
 
6.0%
지 167
 
5.5%
번 144
 
4.7%
구 114
 
3.7%
호 87
 
2.8%
양 86
 
2.8%
Other values (238) 1480
48.4%

소재지우편번호
Real number (ℝ)

MISSING 

Distinct128
Distinct (%)82.6%
Missing27
Missing (%)14.8%
Infinite0
Infinite (%)0.0%
Mean133176.99
Minimum10073
Maximum487813
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-11T06:51:39.894570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10073
5-th percentile10398.6
Q112859.5
median14557
Q3412722.5
95-th percentile463109.7
Maximum487813
Range477740
Interquartile range (IQR)399863

Descriptive statistics

Standard deviation191031.23
Coefficient of variation (CV)1.4344161
Kurtosis-1.0381889
Mean133176.99
Median Absolute Deviation (MAD)3470
Skewness0.97873716
Sum20642434
Variance3.6492931 × 1010
MonotonicityNot monotonic
2023-12-11T06:51:40.034973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10403 6
 
3.3%
10881 6
 
3.3%
13486 3
 
1.6%
410837 2
 
1.1%
14056 2
 
1.1%
13494 2
 
1.1%
13487 2
 
1.1%
13558 2
 
1.1%
15865 2
 
1.1%
13590 2
 
1.1%
Other values (118) 126
69.2%
(Missing) 27
 
14.8%
ValueCountFrequency (%)
10073 1
 
0.5%
10102 1
 
0.5%
10111 1
 
0.5%
10364 2
 
1.1%
10372 1
 
0.5%
10379 1
 
0.5%
10393 1
 
0.5%
10401 1
 
0.5%
10402 2
 
1.1%
10403 6
3.3%
ValueCountFrequency (%)
487813 1
0.5%
467872 1
0.5%
464814 1
0.5%
464110 1
0.5%
463930 1
0.5%
463839 1
0.5%
463825 1
0.5%
463816 1
0.5%
462807 1
0.5%
461370 1
0.5%

WGS84위도
Real number (ℝ)

MISSING 

Distinct142
Distinct (%)94.7%
Missing32
Missing (%)17.6%
Infinite0
Infinite (%)0.0%
Mean37.46007
Minimum36.993121
Maximum37.83021
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-11T06:51:40.157451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.993121
5-th percentile37.24378
Q137.360134
median37.401981
Q337.637243
95-th percentile37.718377
Maximum37.83021
Range0.83708869
Interquartile range (IQR)0.2771091

Descriptive statistics

Standard deviation0.17283465
Coefficient of variation (CV)0.0046138367
Kurtosis-0.34098132
Mean37.46007
Median Absolute Deviation (MAD)0.099529124
Skewness-0.0012696885
Sum5619.0104
Variance0.029871815
MonotonicityNot monotonic
2023-12-11T06:51:40.262101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.6564853341 3
 
1.6%
37.4030723034 3
 
1.6%
37.6361366845 2
 
1.1%
37.4009700962 2
 
1.1%
37.6582588178 2
 
1.1%
37.7053819563 2
 
1.1%
37.4024315789 1
 
0.5%
37.3196212845 1
 
0.5%
37.0327318138 1
 
0.5%
37.3911479745 1
 
0.5%
Other values (132) 132
72.5%
(Missing) 32
 
17.6%
ValueCountFrequency (%)
36.9931212107 1
0.5%
36.9997343107 1
0.5%
37.0327318138 1
0.5%
37.0504580121 1
0.5%
37.1420473945 1
0.5%
37.1667583347 1
0.5%
37.2043010112 1
0.5%
37.2301831553 1
0.5%
37.2603984033 1
0.5%
37.2628680527 1
0.5%
ValueCountFrequency (%)
37.8302098977 1
0.5%
37.8193847748 1
0.5%
37.7773323269 1
0.5%
37.7738521827 1
0.5%
37.7388095704 1
0.5%
37.7320782467 1
0.5%
37.7298983357 1
0.5%
37.7203848908 1
0.5%
37.715923924 1
0.5%
37.7090795317 1
0.5%

WGS84경도
Real number (ℝ)

MISSING 

Distinct142
Distinct (%)94.7%
Missing32
Missing (%)17.6%
Infinite0
Infinite (%)0.0%
Mean126.95354
Minimum126.68187
Maximum127.66084
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-11T06:51:40.371748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.68187
5-th percentile126.69827
Q1126.78633
median126.95344
Q3127.10306
95-th percentile127.2128
Maximum127.66084
Range0.9789698
Interquartile range (IQR)0.31672885

Descriptive statistics

Standard deviation0.17797493
Coefficient of variation (CV)0.0014018903
Kurtosis0.67697907
Mean126.95354
Median Absolute Deviation (MAD)0.15540411
Skewness0.63472538
Sum19043.031
Variance0.031675077
MonotonicityNot monotonic
2023-12-11T06:51:40.481518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.7744702474 3
 
1.6%
127.1001667612 3
 
1.6%
126.8314735735 2
 
1.1%
126.9691155194 2
 
1.1%
126.7726617072 2
 
1.1%
126.6874136046 2
 
1.1%
126.9614221117 1
 
0.5%
126.758049303 1
 
0.5%
127.3060221158 1
 
0.5%
126.9500138261 1
 
0.5%
Other values (132) 132
72.5%
(Missing) 32
 
17.6%
ValueCountFrequency (%)
126.68187307 1
0.5%
126.6850744733 1
0.5%
126.6851567319 1
0.5%
126.6866044577 1
0.5%
126.6869240595 1
0.5%
126.6874136046 2
1.1%
126.6947271707 1
0.5%
126.7026076834 1
0.5%
126.7151966733 1
0.5%
126.7223220655 1
0.5%
ValueCountFrequency (%)
127.6608428738 1
0.5%
127.4730349172 1
0.5%
127.3788185125 1
0.5%
127.3060221158 1
0.5%
127.2922035641 1
0.5%
127.2455657731 1
0.5%
127.2328161278 1
0.5%
127.2160118288 1
0.5%
127.208868535 1
0.5%
127.2068403818 1
0.5%

업태구분명정보
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing182
Missing (%)100.0%
Memory size1.7 KiB

X좌표값
Real number (ℝ)

MISSING 

Distinct27
Distinct (%)100.0%
Missing155
Missing (%)85.2%
Infinite0
Infinite (%)0.0%
Mean196763.87
Minimum172361.06
Maximum218956.64
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-11T06:51:40.583819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum172361.06
5-th percentile172922.75
Q1181507.65
median195924.29
Q3210146.72
95-th percentile218040.17
Maximum218956.64
Range46595.583
Interquartile range (IQR)28639.077

Descriptive statistics

Standard deviation15871.61
Coefficient of variation (CV)0.080663234
Kurtosis-1.4174932
Mean196763.87
Median Absolute Deviation (MAD)14651.559
Skewness-0.2010978
Sum5312624.6
Variance2.5190801 × 108
MonotonicityNot monotonic
2023-12-11T06:51:40.691761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
178668.321119565 1
 
0.5%
217919.807743396 1
 
0.5%
218091.759753711 1
 
0.5%
214727.581559522 1
 
0.5%
206883.577382643 1
 
0.5%
172361.061226659 1
 
0.5%
174902.847542911 1
 
0.5%
172978.454900485 1
 
0.5%
172898.874459783 1
 
0.5%
206064.719567162 1
 
0.5%
Other values (17) 17
 
9.3%
(Missing) 155
85.2%
ValueCountFrequency (%)
172361.061226659 1
0.5%
172898.874459783 1
0.5%
172978.454900485 1
0.5%
174902.847542911 1
0.5%
178291.458784305 1
0.5%
178668.321119565 1
0.5%
179465.695319664 1
0.5%
183549.596614993 1
0.5%
188743.917679128 1
0.5%
189939.241583657 1
0.5%
ValueCountFrequency (%)
218956.644272605 1
0.5%
218091.759753711 1
0.5%
217919.807743396 1
0.5%
214727.581559522 1
0.5%
212094.981993322 1
0.5%
211984.78412087 1
0.5%
210575.849151526 1
0.5%
209717.597753564 1
0.5%
209247.067526 1
0.5%
208875.401407257 1
0.5%

Y좌표값
Real number (ℝ)

MISSING 

Distinct27
Distinct (%)100.0%
Missing155
Missing (%)85.2%
Infinite0
Infinite (%)0.0%
Mean448844.58
Minimum389394.27
Maximum481106.24
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-11T06:51:40.779773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum389394.27
5-th percentile423738.86
Q1429918.97
median454964.51
Q3465216.35
95-th percentile477155.15
Maximum481106.24
Range91711.972
Interquartile range (IQR)35297.376

Descriptive statistics

Standard deviation21949.565
Coefficient of variation (CV)0.048902372
Kurtosis0.21122852
Mean448844.58
Median Absolute Deviation (MAD)17233.22
Skewness-0.67761533
Sum12118804
Variance4.8178338 × 108
MonotonicityNot monotonic
2023-12-11T06:51:40.866422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
463267.005753621 1
 
0.5%
452475.830697606 1
 
0.5%
450614.564841249 1
 
0.5%
479279.761902884 1
 
0.5%
389394.267719781 1
 
0.5%
467071.39853463 1
 
0.5%
468213.846016195 1
 
0.5%
469026.019598014 1
 
0.5%
469050.061614779 1
 
0.5%
472197.725892122 1
 
0.5%
Other values (17) 17
 
9.3%
(Missing) 155
85.2%
ValueCountFrequency (%)
389394.267719781 1
0.5%
422895.879505916 1
0.5%
425705.802941671 1
0.5%
427437.271199733 1
0.5%
428537.936079393 1
0.5%
428712.578275366 1
0.5%
428845.090948564 1
0.5%
430992.847554911 1
0.5%
432204.553682233 1
0.5%
433474.488173333 1
0.5%
ValueCountFrequency (%)
481106.239871075 1
0.5%
479279.761902884 1
0.5%
472197.725892122 1
0.5%
469050.061614779 1
0.5%
469026.019598014 1
0.5%
468213.846016195 1
0.5%
467071.39853463 1
0.5%
463361.291691577 1
0.5%
463267.005753621 1
0.5%
462041.899769362 1
0.5%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
비디오물배급업
182 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
비디오물배급업 182
100.0%

Length

2023-12-11T06:51:40.956871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:51:41.051345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
비디오물배급업 182
100.0%

문화사업자구분명
Categorical

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
134 
유통관련업
48 

Length

Max length5
Median length4
Mean length4.2637363
Min length4

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> 134
73.6%
유통관련업 48
 
26.4%

Length

2023-12-11T06:51:41.145709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:51:41.224775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 134
73.6%
유통관련업 48
 
26.4%

총층수
Categorical

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
155 
0
27 

Length

Max length4
Median length4
Mean length3.5549451
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 155
85.2%
0 27
 
14.8%

Length

2023-12-11T06:51:41.306714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:51:41.384905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 155
85.2%
0 27
 
14.8%

주변환경명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing182
Missing (%)100.0%
Memory size1.7 KiB

제작취급품목내용
Text

MISSING 

Distinct26
Distinct (%)81.2%
Missing150
Missing (%)82.4%
Memory size1.6 KiB
2023-12-11T06:51:41.534094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length21
Mean length10.90625
Min length3

Characters and Unicode

Total characters349
Distinct characters95
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)78.1%

Sample

1st row방송영상
2nd row비디오물
3rd row비디오물
4th row공공기관 심사 영상, 공공기관 홍보 영상, 공공기관 행사 영상, 기업 홍보 영상, 기업 행사 영상
5th row비디오물
ValueCountFrequency (%)
비디오물 11
 
15.1%
영상 7
 
9.6%
영상물 5
 
6.8%
홍보 4
 
5.5%
공공기관 3
 
4.1%
배급 3
 
4.1%
제작 2
 
2.7%
행사 2
 
2.7%
기업 2
 
2.7%
애니메이션 2
 
2.7%
Other values (30) 32
43.8%
2023-12-11T06:51:41.787305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
41
 
11.7%
, 30
 
8.6%
물 21
 
6.0%
영 20
 
5.7%
상 18
 
5.2%
비 17
 
4.9%
디 17
 
4.9%
오 16
 
4.6%
보 7
 
2.0%
홍 7
 
2.0%
Other values (85) 155
44.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 266
76.2%
Space Separator 41
 
11.7%
Other Punctuation 30
 
8.6%
Uppercase Letter 6
 
1.7%
Open Punctuation 3
 
0.9%
Close Punctuation 3
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
물 21
 
7.9%
영 20
 
7.5%
상 18
 
6.8%
비 17
 
6.4%
디 17
 
6.4%
오 16
 
6.0%
보 7
 
2.6%
홍 7
 
2.6%
기 7
 
2.6%
공 7
 
2.6%
Other values (78) 129
48.5%
Uppercase Letter
ValueCountFrequency (%)
R 3
50.0%
V 2
33.3%
A 1
 
16.7%
Space Separator
ValueCountFrequency (%)
41
100.0%
Other Punctuation
ValueCountFrequency (%)
, 30
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 266
76.2%
Common 77
 
22.1%
Latin 6
 
1.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
물 21
 
7.9%
영 20
 
7.5%
상 18
 
6.8%
비 17
 
6.4%
디 17
 
6.4%
오 16
 
6.0%
보 7
 
2.6%
홍 7
 
2.6%
기 7
 
2.6%
공 7
 
2.6%
Other values (78) 129
48.5%
Common
ValueCountFrequency (%)
41
53.2%
, 30
39.0%
( 3
 
3.9%
) 3
 
3.9%
Latin
ValueCountFrequency (%)
R 3
50.0%
V 2
33.3%
A 1
 
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 266
76.2%
ASCII 83
 
23.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
41
49.4%
, 30
36.1%
( 3
 
3.6%
) 3
 
3.6%
R 3
 
3.6%
V 2
 
2.4%
A 1
 
1.2%
Hangul
ValueCountFrequency (%)
물 21
 
7.9%
영 20
 
7.5%
상 18
 
6.8%
비 17
 
6.4%
디 17
 
6.4%
오 16
 
6.0%
보 7
 
2.6%
홍 7
 
2.6%
기 7
 
2.6%
공 7
 
2.6%
Other values (78) 129
48.5%

시설면적(㎡)
Real number (ℝ)

MISSING  ZEROS 

Distinct98
Distinct (%)81.7%
Missing62
Missing (%)34.1%
Infinite0
Infinite (%)0.0%
Mean874.06867
Minimum0
Maximum79049
Zeros2
Zeros (%)1.1%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-11T06:51:41.894059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.3
Q133
median70.35
Q3149.325
95-th percentile1092.393
Maximum79049
Range79049
Interquartile range (IQR)116.325

Descriptive statistics

Standard deviation7211.3342
Coefficient of variation (CV)8.2503062
Kurtosis118.97917
Mean874.06867
Median Absolute Deviation (MAD)40.35
Skewness10.886176
Sum104888.24
Variance52003340
MonotonicityNot monotonic
2023-12-11T06:51:42.017648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
33.0 5
 
2.7%
30.0 4
 
2.2%
10.0 3
 
1.6%
3.3 3
 
1.6%
231.21 3
 
1.6%
100.0 2
 
1.1%
74.9 2
 
1.1%
50.0 2
 
1.1%
20.0 2
 
1.1%
198.0 2
 
1.1%
Other values (88) 92
50.5%
(Missing) 62
34.1%
ValueCountFrequency (%)
0.0 2
1.1%
2.0 1
 
0.5%
3.18 1
 
0.5%
3.3 3
1.6%
3.5 1
 
0.5%
10.0 3
1.6%
15.0 1
 
0.5%
15.5 1
 
0.5%
18.9 1
 
0.5%
20.0 2
1.1%
ValueCountFrequency (%)
79049.0 1
0.5%
2998.3 1
0.5%
2731.22 1
0.5%
1946.9 1
0.5%
1679.7 1
0.5%
1386.0 1
0.5%
1076.94 1
0.5%
911.71 1
0.5%
811.39 2
1.1%
735.88 1
0.5%

지상층수
Categorical

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
155 
0
27 

Length

Max length4
Median length4
Mean length3.5549451
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 155
85.2%
0 27
 
14.8%

Length

2023-12-11T06:51:42.138984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:51:42.218064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 155
85.2%
0 27
 
14.8%

지하층수
Categorical

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
155 
0
27 

Length

Max length4
Median length4
Mean length3.5549451
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 155
85.2%
0 27
 
14.8%

Length

2023-12-11T06:51:42.302215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:51:42.383766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 155
85.2%
0 27
 
14.8%

통로너비
Categorical

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
155 
0
27 

Length

Max length4
Median length4
Mean length3.5549451
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 155
85.2%
0 27
 
14.8%

Length

2023-12-11T06:51:42.468467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:51:42.551999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 155
85.2%
0 27
 
14.8%

조명시설조도량
Categorical

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
155 
0
27 

Length

Max length4
Median length4
Mean length3.5549451
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 155
85.2%
0 27
 
14.8%

Length

2023-12-11T06:51:42.635060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:51:42.713403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 155
85.2%
0 27
 
14.8%

노래방실수
Categorical

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
155 
0
27 

Length

Max length4
Median length4
Mean length3.5549451
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 155
85.2%
0 27
 
14.8%

Length

2023-12-11T06:51:43.005239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:51:43.083028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 155
85.2%
0 27
 
14.8%

청소년실수
Categorical

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
155 
0
27 

Length

Max length4
Median length4
Mean length3.5549451
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 155
85.2%
0 27
 
14.8%

Length

2023-12-11T06:51:43.172690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:51:43.278081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 155
85.2%
0 27
 
14.8%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing182
Missing (%)100.0%
Memory size1.7 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing182
Missing (%)100.0%
Memory size1.7 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing182
Missing (%)100.0%
Memory size1.7 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing182
Missing (%)100.0%
Memory size1.7 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing182
Missing (%)100.0%
Memory size1.7 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing182
Missing (%)100.0%
Memory size1.7 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing182
Missing (%)100.0%
Memory size1.7 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing182
Missing (%)100.0%
Memory size1.7 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing182
Missing (%)100.0%
Memory size1.7 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing182
Missing (%)100.0%
Memory size1.7 KiB

총게임기수
Categorical

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
155 
0
27 

Length

Max length4
Median length4
Mean length3.5549451
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 155
85.2%
0 27
 
14.8%

Length

2023-12-11T06:51:43.367180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:51:43.446235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 155
85.2%
0 27
 
14.8%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing182
Missing (%)100.0%
Memory size1.7 KiB

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing182
Missing (%)100.0%
Memory size1.7 KiB

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing182
Missing (%)100.0%
Memory size1.7 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing182
Missing (%)100.0%
Memory size1.7 KiB

Sample

시군명사업장명인허가일자인허가취소일자영업상태구분코드영업상태명폐업일자소재지시설전화번호소재지면적정보도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도업태구분명정보X좌표값Y좌표값문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적(㎡)지상층수지하층수통로너비조명시설조도량노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명
0고양시디바인2023-05-30<NA>13영업중<NA><NA><NA>10585경기도 고양시 덕양구 오부자로 ***, ***동 ****호 (지축동, 엘에이치*단지)경기도 고양시 덕양구 지축동 **** 엘에이치*단지 ***동 ****호10585<NA><NA><NA><NA><NA>비디오물배급업<NA>0<NA>방송영상76.71000000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA>
1고양시미디어 윌(Will)2009-06-08<NA>13영업중<NA>031-962-5404<NA>10564경기도 고양시 덕양구 권율대로 ***, 클래시아 더 퍼스트 ****호 (원흥동)경기도 고양시 덕양구 원흥동 ***-* 클래시아 더 퍼스트 ****호<NA><NA><NA><NA>188743.917679460675.19858비디오물배급업<NA>0<NA>비디오물38.0000000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA>
2고양시걸리버픽처스2023-11-16<NA>13영업중<NA><NA><NA>10387경기도 고양시 일산서구 중앙로 ****, ***-*호 (주엽동)경기도 고양시 일산서구 주엽동 **-* 서현프라자<NA><NA><NA><NA>178668.32112463267.005754비디오물배급업<NA>0<NA>비디오물10.0000000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA>
3고양시온오프링크 주식회사2023-07-24<NA>13영업중<NA>070-7919-3399<NA>10401경기도 고양시 일산동구 무궁화로 **-**, 로데오탑 ***호 (장항동)경기도 고양시 일산동구 장항동 *** 로데오탑 ***호<NA><NA><NA><NA>179465.69532462041.899769비디오물배급업<NA>0<NA>공공기관 심사 영상, 공공기관 홍보 영상, 공공기관 행사 영상, 기업 홍보 영상, 기업 행사 영상80.56000000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA>
4고양시(주)케이알씨지2023-12-01<NA>13영업중<NA><NA><NA>10592경기도 고양시 덕양구 삼송로 ***, 힐스테이트삼송역스칸센 ***동 ****호 (삼송동)경기도 고양시 덕양구 삼송동 *** 힐스테이트삼송역스칸센10577<NA><NA><NA>191155.299952461114.626097비디오물배급업<NA>0<NA>비디오물29.95000000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA>
5고양시파워콜20020814<NA><NA>운영중<NA><NA><NA><NA>경기도 고양시 덕양구 성신로 **, ****동 ***호 (행신동,햇빛마을)경기도 고양시 덕양구 행신동 ***번지 햇빛마을 ****동 ***호41271937.628064126.83685<NA><NA><NA>비디오물배급업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
6고양시현멀티미디어(주)20060413<NA><NA>운영중<NA><NA><NA><NA>경기도 고양시 일산동구 정발산로 **-**, ***호 (장항동,파크프라자)경기도 고양시 일산동구 장항동 ***-*번지 파크프라자 ***호1040237.657392126.772421<NA><NA><NA>비디오물배급업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
7고양시(주)보헤미안픽쳐스20140306<NA><NA>운영중<NA><NA><NA><NA>경기도 고양시 일산동구 무궁화로 *-**, ****호 (장항동, 양우로데오시티플러스)경기도 고양시 일산동구 장항동 ***-*번지 ****호1036437.66347126.764187<NA><NA><NA>비디오물배급업<NA><NA><NA><NA>43.85<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8고양시예스뮤직엔터테인먼트20051118<NA><NA>운영중<NA><NA><NA><NA>경기도 고양시 덕양구 화중로 ***, ***호 (화정동,비젼타워**)경기도 고양시 덕양구 화정동 ***번지 비젼타워** ***호41282737.636137126.831474<NA><NA><NA>비디오물배급업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
9고양시(주)MBC아트20060101<NA><NA>운영중<NA><NA><NA><NA>경기도 고양시 일산동구 호수로 ***, *층 (장항동, 일산방송컴플렉스방송국)경기도 고양시 일산동구 장항동 ***번지 일산방송컴플렉스방송국 *층1040337.655532126.770466<NA><NA><NA>비디오물배급업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
시군명사업장명인허가일자인허가취소일자영업상태구분코드영업상태명폐업일자소재지시설전화번호소재지면적정보도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도업태구분명정보X좌표값Y좌표값문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적(㎡)지상층수지하층수통로너비조명시설조도량노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명
172평택시(주)나루기획20110328<NA><NA>운영중<NA><NA><NA><NA>경기도 평택시 무지개공원*길 **, ***호 (비전동)경기도 평택시 비전동 ***번지 ***호1790036.993121127.110931<NA><NA><NA>비디오물배급업<NA><NA><NA><NA>33.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
173평택시(주)뉴스타디지털20040710<NA><NA>폐업 등20130709<NA><NA><NA><NA>경기도 평택시 청북면 어연리 ***번지<NA>37.050458126.97688<NA><NA><NA>비디오물배급업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
174평택시(주)금석20040603<NA><NA>폐업 등20111019<NA><NA><NA>경기도 평택시 안중읍 안중북로 ***경기도 평택시 안중읍 학현리 ***-*번지1781636.999734126.921995<NA><NA><NA>비디오물배급업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
175포천시(주)시냇가에심은나무2019-02-18<NA>13영업중<NA><NA><NA>11167경기도 포천시 가산면 정교*길 *-**, B동경기도 포천시 가산면 정교리 ***-**11167<NA><NA><NA>214727.58156479279.761903비디오물배급업<NA><NA><NA>비디오물 제작108.7<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
176포천시(주)태복산업20081118<NA><NA>운영중<NA><NA><NA><NA>경기도 포천시 가산면 정금로 ***경기도 포천시 가산면 금현리 ***번지48781337.819385127.193225<NA><NA><NA>비디오물배급업유통관련업<NA><NA><NA>191.56<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
177포천시청송20010403<NA><NA>폐업 등20090526<NA><NA><NA>경기도 포천시 소흘읍 솔모루로 ***경기도 포천시 소흘읍 송우리 ***-*번지1117537.83021127.148214<NA><NA><NA>비디오물배급업<NA><NA><NA><NA>68.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
178하남시주식회사 뉴토2023-04-14<NA>13영업중<NA><NA><NA>12925경기도 하남시 미사대로 ***, 현대지식산업센터 한강미사*차(**BL) A동 **층 ****~****호 (덕풍동)경기도 하남시 덕풍동 *** 현대지식산업센터 한강미사*차(**BL)<NA><NA><NA><NA>218091.759754450614.564841비디오물배급업<NA>0<NA>홍보, 영상물380.52000000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA>
179하남시주식회사 브이클릭20160225<NA><NA>운영중<NA><NA><NA><NA>경기도 하남시 대청로 **, ***호 (신장동, 현대베스코아빌딩)경기도 하남시 신장동 ***-*번지1294737.5411127.216012<NA><NA><NA>비디오물배급업<NA><NA><NA><NA>76.34<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
180하남시주식회사 프리다츠2020-10-19<NA>15전출2023-11-09<NA><NA>12900경기도 하남시 미사동로 **-* (미사동)경기도 하남시 미사동 ***-*12900<NA><NA><NA>217919.807743452475.830698비디오물배급업<NA>0<NA>컨텐츠홍보231.29000000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA>
181화성시한시오분전20180212<NA><NA>운영중<NA><NA><NA><NA>경기도 화성시 화산서길 ** (안녕동)경기도 화성시 안녕동 **-**번지1836237.204301127.012068<NA><NA><NA>비디오물배급업<NA><NA><NA><NA>79.56<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>