Overview

Dataset statistics

Number of variables44
Number of observations692
Missing cells16561
Missing cells (%)54.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory261.0 KiB
Average record size in memory386.2 B

Variable types

Categorical12
Text5
DateTime2
Unsupported19
Numeric6

Alerts

영업상태구분코드 is highly imbalanced (66.3%)Imbalance
영업상태명 is highly imbalanced (58.0%)Imbalance
문화체육업종명 is highly imbalanced (98.4%)Imbalance
총층수 is highly imbalanced (51.4%)Imbalance
지상층수 is highly imbalanced (51.4%)Imbalance
지하층수 is highly imbalanced (51.4%)Imbalance
통로너비 is highly imbalanced (51.4%)Imbalance
조명시설조도량 is highly imbalanced (51.4%)Imbalance
노래방실수 is highly imbalanced (51.4%)Imbalance
청소년실수 is highly imbalanced (51.4%)Imbalance
총게임기수 is highly imbalanced (51.4%)Imbalance
인허가취소일자 has 692 (100.0%) missing valuesMissing
폐업일자 has 635 (91.8%) missing valuesMissing
소재지시설전화번호 has 680 (98.3%) missing valuesMissing
소재지면적정보 has 692 (100.0%) missing valuesMissing
도로명우편번호 has 604 (87.3%) missing valuesMissing
소재지우편번호 has 83 (12.0%) missing valuesMissing
WGS84위도 has 95 (13.7%) missing valuesMissing
WGS84경도 has 95 (13.7%) missing valuesMissing
업태구분명정보 has 692 (100.0%) missing valuesMissing
X좌표값 has 608 (87.9%) missing valuesMissing
Y좌표값 has 608 (87.9%) missing valuesMissing
주변환경명 has 692 (100.0%) missing valuesMissing
비상계단여부 has 692 (100.0%) missing valuesMissing
비상구여부 has 692 (100.0%) missing valuesMissing
자동환기여부 has 692 (100.0%) missing valuesMissing
청소년실여부 has 692 (100.0%) missing valuesMissing
특수조명여부 has 692 (100.0%) missing valuesMissing
방음시설여부 has 692 (100.0%) missing valuesMissing
비디오재생기명 has 692 (100.0%) missing valuesMissing
조명시설유무 has 692 (100.0%) missing valuesMissing
음향시설여부 has 692 (100.0%) missing valuesMissing
편의시설여부 has 692 (100.0%) missing valuesMissing
소방시설여부 has 692 (100.0%) missing valuesMissing
기존게임업외업종명 has 692 (100.0%) missing valuesMissing
제공게임물명 has 692 (100.0%) missing valuesMissing
공연장형태구분명 has 692 (100.0%) missing valuesMissing
품목명 has 692 (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
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
품목명 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-10 21:45:35.482428
Analysis finished2023-12-10 21:45:36.383472
Duration0.9 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

Distinct28
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size5.5 KiB
고양시
203 
성남시
78 
부천시
60 
용인시
49 
파주시
46 
Other values (23)
256 

Length

Max length4
Median length3
Mean length3.0780347
Min length3

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
고양시 203
29.3%
성남시 78
 
11.3%
부천시 60
 
8.7%
용인시 49
 
7.1%
파주시 46
 
6.6%
수원시 32
 
4.6%
남양주시 27
 
3.9%
의정부시 24
 
3.5%
안양시 24
 
3.5%
김포시 21
 
3.0%
Other values (18) 128
18.5%

Length

2023-12-11T06:45:36.442790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
고양시 203
29.3%
성남시 78
 
11.3%
부천시 60
 
8.7%
용인시 49
 
7.1%
파주시 46
 
6.6%
수원시 32
 
4.6%
남양주시 27
 
3.9%
의정부시 24
 
3.5%
안양시 24
 
3.5%
김포시 21
 
3.0%
Other values (18) 128
18.5%

사업장명
Text

Distinct673
Distinct (%)97.3%
Missing0
Missing (%)0.0%
Memory size5.5 KiB
2023-12-11T06:45:36.688607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length25
Mean length8.2947977
Min length1

Characters and Unicode

Total characters5740
Distinct characters503
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique656 ?
Unique (%)94.8%

Sample

1st row문스톤 픽처스
2nd row영화사빅
3rd row(주)퍼니필름
4th row(주)카이로스 메이커스
5th row(주)스튜디오에이치앤비
ValueCountFrequency (%)
주식회사 120
 
12.2%
영화사 28
 
2.9%
주 12
 
1.2%
필름 10
 
1.0%
film 10
 
1.0%
픽쳐스 7
 
0.7%
엔터테인먼트 6
 
0.6%
스튜디오 5
 
0.5%
리 4
 
0.4%
시네마 4
 
0.4%
Other values (743) 775
79.0%
2023-12-11T06:45:37.073908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 344
 
6.0%
290
 
5.1%
) 254
 
4.4%
( 253
 
4.4%
스 219
 
3.8%
사 192
 
3.3%
이 187
 
3.3%
회 130
 
2.3%
식 125
 
2.2%
필 101
 
1.8%
Other values (493) 3645
63.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4486
78.2%
Space Separator 290
 
5.1%
Close Punctuation 254
 
4.4%
Open Punctuation 253
 
4.4%
Lowercase Letter 198
 
3.4%
Uppercase Letter 198
 
3.4%
Decimal Number 33
 
0.6%
Other Symbol 18
 
0.3%
Other Punctuation 10
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 344
 
7.7%
스 219
 
4.9%
사 192
 
4.3%
이 187
 
4.2%
회 130
 
2.9%
식 125
 
2.8%
필 101
 
2.3%
름 96
 
2.1%
디 90
 
2.0%
리 75
 
1.7%
Other values (430) 2927
65.2%
Uppercase Letter
ValueCountFrequency (%)
S 24
 
12.1%
O 16
 
8.1%
M 15
 
7.6%
F 14
 
7.1%
I 13
 
6.6%
N 12
 
6.1%
Y 10
 
5.1%
C 9
 
4.5%
D 9
 
4.5%
L 9
 
4.5%
Other values (13) 67
33.8%
Lowercase Letter
ValueCountFrequency (%)
i 25
12.6%
e 21
10.6%
m 18
9.1%
l 17
 
8.6%
o 16
 
8.1%
t 13
 
6.6%
r 12
 
6.1%
a 11
 
5.6%
s 11
 
5.6%
n 11
 
5.6%
Other values (11) 43
21.7%
Decimal Number
ValueCountFrequency (%)
1 10
30.3%
2 8
24.2%
0 4
 
12.1%
8 3
 
9.1%
5 2
 
6.1%
7 2
 
6.1%
3 1
 
3.0%
4 1
 
3.0%
9 1
 
3.0%
6 1
 
3.0%
Other Punctuation
ValueCountFrequency (%)
& 4
40.0%
. 3
30.0%
· 1
 
10.0%
: 1
 
10.0%
% 1
 
10.0%
Space Separator
ValueCountFrequency (%)
290
100.0%
Close Punctuation
ValueCountFrequency (%)
) 254
100.0%
Open Punctuation
ValueCountFrequency (%)
( 253
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4503
78.4%
Common 840
 
14.6%
Latin 396
 
6.9%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 344
 
7.6%
스 219
 
4.9%
사 192
 
4.3%
이 187
 
4.2%
회 130
 
2.9%
식 125
 
2.8%
필 101
 
2.2%
름 96
 
2.1%
디 90
 
2.0%
리 75
 
1.7%
Other values (430) 2944
65.4%
Latin
ValueCountFrequency (%)
i 25
 
6.3%
S 24
 
6.1%
e 21
 
5.3%
m 18
 
4.5%
l 17
 
4.3%
o 16
 
4.0%
O 16
 
4.0%
M 15
 
3.8%
F 14
 
3.5%
I 13
 
3.3%
Other values (34) 217
54.8%
Common
ValueCountFrequency (%)
290
34.5%
) 254
30.2%
( 253
30.1%
1 10
 
1.2%
2 8
 
1.0%
& 4
 
0.5%
0 4
 
0.5%
. 3
 
0.4%
8 3
 
0.4%
5 2
 
0.2%
Other values (8) 9
 
1.1%
Han
ValueCountFrequency (%)
辛 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4485
78.1%
ASCII 1235
 
21.5%
None 19
 
0.3%
CJK 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 344
 
7.7%
스 219
 
4.9%
사 192
 
4.3%
이 187
 
4.2%
회 130
 
2.9%
식 125
 
2.8%
필 101
 
2.3%
름 96
 
2.1%
디 90
 
2.0%
리 75
 
1.7%
Other values (429) 2926
65.2%
ASCII
ValueCountFrequency (%)
290
23.5%
) 254
20.6%
( 253
20.5%
i 25
 
2.0%
S 24
 
1.9%
e 21
 
1.7%
m 18
 
1.5%
l 17
 
1.4%
o 16
 
1.3%
O 16
 
1.3%
Other values (51) 301
24.4%
None
ValueCountFrequency (%)
㈜ 18
94.7%
· 1
 
5.3%
CJK
ValueCountFrequency (%)
辛 1
100.0%

인허가일자
Date

Distinct599
Distinct (%)86.6%
Missing0
Missing (%)0.0%
Memory size5.5 KiB
Minimum1996-02-06 00:00:00
Maximum2023-12-04 00:00:00
2023-12-11T06:45:37.203330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:45:37.322015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing692
Missing (%)100.0%
Memory size6.2 KiB

영업상태구분코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size5.5 KiB
<NA>
603 
13
71 
15
 
9
3
 
9

Length

Max length4
Median length4
Mean length3.7297688
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 603
87.1%
13 71
 
10.3%
15 9
 
1.3%
3 9
 
1.3%

Length

2023-12-11T06:45:37.433818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:45:37.540666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 603
87.1%
13 71
 
10.3%
15 9
 
1.3%
3 9
 
1.3%

영업상태명
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size5.5 KiB
운영중
564 
영업중
71 
폐업 등
 
39
전출
 
9
폐업
 
9

Length

Max length4
Median length3
Mean length3.0303468
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
운영중 564
81.5%
영업중 71
 
10.3%
폐업 등 39
 
5.6%
전출 9
 
1.3%
폐업 9
 
1.3%

Length

2023-12-11T06:45:37.663376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:45:37.781998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
운영중 564
77.2%
영업중 71
 
9.7%
폐업 48
 
6.6%
등 39
 
5.3%
전출 9
 
1.2%

폐업일자
Date

MISSING 

Distinct56
Distinct (%)98.2%
Missing635
Missing (%)91.8%
Memory size5.5 KiB
Minimum2010-09-16 00:00:00
Maximum2023-11-29 00:00:00
2023-12-11T06:45:37.910628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:45:38.025529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

소재지시설전화번호
Text

MISSING 

Distinct12
Distinct (%)100.0%
Missing680
Missing (%)98.3%
Memory size5.5 KiB
2023-12-11T06:45:38.172796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.666667
Min length10

Characters and Unicode

Total characters140
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 row02-3158-2023
2nd row0319016700
3rd row02-499-5566
4th row031-994-1247
5th row031-971-5579
ValueCountFrequency (%)
02-3158-2023 1
8.3%
0319016700 1
8.3%
02-499-5566 1
8.3%
031-994-1247 1
8.3%
031-971-5579 1
8.3%
02-832-3197 1
8.3%
031-523-2302 1
8.3%
02-720-6171 1
8.3%
031-784-3771 1
8.3%
031-774-1353 1
8.3%
Other values (2) 2
16.7%
2023-12-11T06:45:38.470091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 22
15.7%
0 20
14.3%
3 18
12.9%
1 16
11.4%
7 15
10.7%
2 13
9.3%
9 10
7.1%
5 9
6.4%
4 8
 
5.7%
6 6
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 118
84.3%
Dash Punctuation 22
 
15.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 20
16.9%
3 18
15.3%
1 16
13.6%
7 15
12.7%
2 13
11.0%
9 10
8.5%
5 9
7.6%
4 8
 
6.8%
6 6
 
5.1%
8 3
 
2.5%
Dash Punctuation
ValueCountFrequency (%)
- 22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 140
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 22
15.7%
0 20
14.3%
3 18
12.9%
1 16
11.4%
7 15
10.7%
2 13
9.3%
9 10
7.1%
5 9
6.4%
4 8
 
5.7%
6 6
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 140
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 22
15.7%
0 20
14.3%
3 18
12.9%
1 16
11.4%
7 15
10.7%
2 13
9.3%
9 10
7.1%
5 9
6.4%
4 8
 
5.7%
6 6
 
4.3%

소재지면적정보
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing692
Missing (%)100.0%
Memory size6.2 KiB

도로명우편번호
Text

MISSING 

Distinct76
Distinct (%)86.4%
Missing604
Missing (%)87.3%
Memory size5.5 KiB
2023-12-11T06:45:38.707042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.0227273
Min length5

Characters and Unicode

Total characters442
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

Unique66 ?
Unique (%)75.0%

Sample

1st row12411
2nd row10584
3rd row10402
4th row10578
5th row10541
ValueCountFrequency (%)
12036 3
 
3.4%
10402 3
 
3.4%
18105 2
 
2.3%
10500 2
 
2.3%
10592 2
 
2.3%
10808 2
 
2.3%
12248 2
 
2.3%
10543 2
 
2.3%
12820 2
 
2.3%
10387 2
 
2.3%
Other values (66) 66
75.0%
2023-12-11T06:45:39.051283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 115
26.0%
0 73
16.5%
2 43
 
9.7%
8 37
 
8.4%
5 36
 
8.1%
4 33
 
7.5%
3 27
 
6.1%
7 27
 
6.1%
6 26
 
5.9%
9 24
 
5.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 441
99.8%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 115
26.1%
0 73
16.6%
2 43
 
9.8%
8 37
 
8.4%
5 36
 
8.2%
4 33
 
7.5%
3 27
 
6.1%
7 27
 
6.1%
6 26
 
5.9%
9 24
 
5.4%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 442
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 115
26.0%
0 73
16.5%
2 43
 
9.7%
8 37
 
8.4%
5 36
 
8.1%
4 33
 
7.5%
3 27
 
6.1%
7 27
 
6.1%
6 26
 
5.9%
9 24
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 442
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 115
26.0%
0 73
16.5%
2 43
 
9.7%
8 37
 
8.4%
5 36
 
8.1%
4 33
 
7.5%
3 27
 
6.1%
7 27
 
6.1%
6 26
 
5.9%
9 24
 
5.4%

소재지도로명주소
Text

Distinct636
Distinct (%)92.4%
Missing4
Missing (%)0.6%
Memory size5.5 KiB
2023-12-11T06:45:39.283026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length64
Median length50
Mean length37.31686
Min length14

Characters and Unicode

Total characters25674
Distinct characters446
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

Unique596 ?
Unique (%)86.6%

Sample

1st row경기도 가평군 가평읍 자라목*길 **, *층 ***호 (J정동아파트)
2nd row경기도 고양시 덕양구 안진로 **, ***호 (지축동)
3rd row경기도 고양시 일산동구 정발산로 **-**, 센트럴프라자 ***호 (장항동)
4th row경기도 고양시 덕양구 오금*길 **, ***호 (오금동)
5th row경기도 고양시 덕양구 덕은*로 **, *층 (덕은동)
ValueCountFrequency (%)
699
 
13.9%
경기도 688
 
13.6%
호 404
 
8.0%
고양시 203
 
4.0%
동 146
 
2.9%
일산동구 115
 
2.3%
층 109
 
2.2%
성남시 78
 
1.5%
장항동 73
 
1.4%
분당구 69
 
1.4%
Other values (1148) 2458
48.8%
2023-12-11T06:45:39.619537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 4672
18.2%
4402
17.1%
동 1000
 
3.9%
, 863
 
3.4%
기 733
 
2.9%
시 726
 
2.8%
경 722
 
2.8%
도 714
 
2.8%
로 647
 
2.5%
( 611
 
2.4%
Other values (436) 10584
41.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 14152
55.1%
Other Punctuation 5537
 
21.6%
Space Separator 4402
 
17.1%
Open Punctuation 611
 
2.4%
Close Punctuation 611
 
2.4%
Dash Punctuation 196
 
0.8%
Uppercase Letter 148
 
0.6%
Lowercase Letter 15
 
0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 1000
 
7.1%
기 733
 
5.2%
시 726
 
5.1%
경 722
 
5.1%
도 714
 
5.0%
로 647
 
4.6%
호 473
 
3.3%
구 430
 
3.0%
양 388
 
2.7%
산 296
 
2.1%
Other values (399) 8023
56.7%
Uppercase Letter
ValueCountFrequency (%)
B 23
15.5%
A 16
10.8%
C 15
10.1%
M 11
 
7.4%
I 10
 
6.8%
E 10
 
6.8%
L 7
 
4.7%
O 7
 
4.7%
T 6
 
4.1%
P 6
 
4.1%
Other values (12) 37
25.0%
Lowercase Letter
ValueCountFrequency (%)
t 3
20.0%
y 3
20.0%
i 3
20.0%
c 3
20.0%
a 2
13.3%
e 1
 
6.7%
Other Punctuation
ValueCountFrequency (%)
* 4672
84.4%
, 863
 
15.6%
@ 1
 
< 0.1%
& 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
4402
100.0%
Open Punctuation
ValueCountFrequency (%)
( 611
100.0%
Close Punctuation
ValueCountFrequency (%)
) 611
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 196
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 14152
55.1%
Common 11359
44.2%
Latin 163
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 1000
 
7.1%
기 733
 
5.2%
시 726
 
5.1%
경 722
 
5.1%
도 714
 
5.0%
로 647
 
4.6%
호 473
 
3.3%
구 430
 
3.0%
양 388
 
2.7%
산 296
 
2.1%
Other values (399) 8023
56.7%
Latin
ValueCountFrequency (%)
B 23
14.1%
A 16
 
9.8%
C 15
 
9.2%
M 11
 
6.7%
I 10
 
6.1%
E 10
 
6.1%
L 7
 
4.3%
O 7
 
4.3%
T 6
 
3.7%
P 6
 
3.7%
Other values (18) 52
31.9%
Common
ValueCountFrequency (%)
* 4672
41.1%
4402
38.8%
, 863
 
7.6%
( 611
 
5.4%
) 611
 
5.4%
- 196
 
1.7%
~ 2
 
< 0.1%
@ 1
 
< 0.1%
& 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 14152
55.1%
ASCII 11522
44.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 4672
40.5%
4402
38.2%
, 863
 
7.5%
( 611
 
5.3%
) 611
 
5.3%
- 196
 
1.7%
B 23
 
0.2%
A 16
 
0.1%
C 15
 
0.1%
M 11
 
0.1%
Other values (27) 102
 
0.9%
Hangul
ValueCountFrequency (%)
동 1000
 
7.1%
기 733
 
5.2%
시 726
 
5.1%
경 722
 
5.1%
도 714
 
5.0%
로 647
 
4.6%
호 473
 
3.3%
구 430
 
3.0%
양 388
 
2.7%
산 296
 
2.1%
Other values (399) 8023
56.7%

소재지지번주소
Text

Distinct591
Distinct (%)85.4%
Missing0
Missing (%)0.0%
Memory size5.5 KiB
2023-12-11T06:45:39.863533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length78
Median length44
Mean length29.395954
Min length10

Characters and Unicode

Total characters20342
Distinct characters407
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

Unique536 ?
Unique (%)77.5%

Sample

1st row경기도 가평군 가평읍 읍내리 ***-* J정동아파트 ***호
2nd row경기도 고양시 덕양구 지축동 ****-* ***호
3rd row경기도 고양시 일산동구 장항동 *** 센트럴프라자
4th row경기도 고양시 덕양구 오금동 * ***호
5th row경기도 고양시 덕양구 덕은동 ***-* *층
ValueCountFrequency (%)
경기도 692
 
16.5%
번지 566
 
13.5%
호 311
 
7.4%
고양시 203
 
4.8%
동 124
 
3.0%
일산동구 115
 
2.7%
115
 
2.7%
성남시 78
 
1.9%
장항동 75
 
1.8%
분당구 69
 
1.6%
Other values (700) 1845
44.0%
2023-12-11T06:45:40.443848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 4171
20.5%
3574
17.6%
동 961
 
4.7%
기 726
 
3.6%
시 710
 
3.5%
도 709
 
3.5%
경 703
 
3.5%
지 643
 
3.2%
번 568
 
2.8%
- 425
 
2.1%
Other values (397) 7152
35.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12004
59.0%
Other Punctuation 4188
 
20.6%
Space Separator 3574
 
17.6%
Dash Punctuation 425
 
2.1%
Uppercase Letter 119
 
0.6%
Lowercase Letter 14
 
0.1%
Close Punctuation 9
 
< 0.1%
Open Punctuation 9
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 961
 
8.0%
기 726
 
6.0%
시 710
 
5.9%
도 709
 
5.9%
경 703
 
5.9%
지 643
 
5.4%
번 568
 
4.7%
구 425
 
3.5%
양 376
 
3.1%
호 344
 
2.9%
Other values (363) 5839
48.6%
Uppercase Letter
ValueCountFrequency (%)
B 19
16.0%
M 12
10.1%
C 11
9.2%
E 10
 
8.4%
A 8
 
6.7%
L 7
 
5.9%
O 7
 
5.9%
P 7
 
5.9%
T 6
 
5.0%
I 6
 
5.0%
Other values (10) 26
21.8%
Lowercase Letter
ValueCountFrequency (%)
y 3
21.4%
t 3
21.4%
c 3
21.4%
i 3
21.4%
e 1
 
7.1%
a 1
 
7.1%
Other Punctuation
ValueCountFrequency (%)
* 4171
99.6%
, 15
 
0.4%
: 1
 
< 0.1%
& 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
3574
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 425
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12004
59.0%
Common 8205
40.3%
Latin 133
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 961
 
8.0%
기 726
 
6.0%
시 710
 
5.9%
도 709
 
5.9%
경 703
 
5.9%
지 643
 
5.4%
번 568
 
4.7%
구 425
 
3.5%
양 376
 
3.1%
호 344
 
2.9%
Other values (363) 5839
48.6%
Latin
ValueCountFrequency (%)
B 19
14.3%
M 12
 
9.0%
C 11
 
8.3%
E 10
 
7.5%
A 8
 
6.0%
L 7
 
5.3%
O 7
 
5.3%
P 7
 
5.3%
T 6
 
4.5%
I 6
 
4.5%
Other values (16) 40
30.1%
Common
ValueCountFrequency (%)
* 4171
50.8%
3574
43.6%
- 425
 
5.2%
, 15
 
0.2%
) 9
 
0.1%
( 9
 
0.1%
: 1
 
< 0.1%
& 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12004
59.0%
ASCII 8338
41.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 4171
50.0%
3574
42.9%
- 425
 
5.1%
B 19
 
0.2%
, 15
 
0.2%
M 12
 
0.1%
C 11
 
0.1%
E 10
 
0.1%
) 9
 
0.1%
( 9
 
0.1%
Other values (24) 83
 
1.0%
Hangul
ValueCountFrequency (%)
동 961
 
8.0%
기 726
 
6.0%
시 710
 
5.9%
도 709
 
5.9%
경 703
 
5.9%
지 643
 
5.4%
번 568
 
4.7%
구 425
 
3.5%
양 376
 
3.1%
호 344
 
2.9%
Other values (363) 5839
48.6%

소재지우편번호
Real number (ℝ)

MISSING 

Distinct408
Distinct (%)67.0%
Missing83
Missing (%)12.0%
Infinite0
Infinite (%)0.0%
Mean76503.701
Minimum10010
Maximum483742
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.2 KiB
2023-12-11T06:45:40.558402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10010
5-th percentile10358
Q110508
median13545
Q316490
95-th percentile442048
Maximum483742
Range473732
Interquartile range (IQR)5982

Descriptive statistics

Standard deviation150182.13
Coefficient of variation (CV)1.9630701
Kurtosis1.8291062
Mean76503.701
Median Absolute Deviation (MAD)3022
Skewness1.948131
Sum46590754
Variance2.2554671 × 1010
MonotonicityNot monotonic
2023-12-11T06:45:40.665679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10403 18
 
2.6%
10881 15
 
2.2%
10401 11
 
1.6%
14557 11
 
1.6%
410837 9
 
1.3%
10497 9
 
1.3%
10364 8
 
1.2%
13494 7
 
1.0%
10449 7
 
1.0%
14505 6
 
0.9%
Other values (398) 508
73.4%
(Missing) 83
 
12.0%
ValueCountFrequency (%)
10010 1
 
0.1%
10042 1
 
0.1%
10048 1
 
0.1%
10067 1
 
0.1%
10073 3
0.4%
10077 1
 
0.1%
10080 1
 
0.1%
10082 1
 
0.1%
10091 2
0.3%
10097 1
 
0.1%
ValueCountFrequency (%)
483742 1
0.1%
480861 1
0.1%
480774 1
0.1%
476921 1
0.1%
476893 1
0.1%
476842 1
0.1%
476841 1
0.1%
465807 1
0.1%
463905 1
0.1%
463834 1
0.1%

WGS84위도
Real number (ℝ)

MISSING 

Distinct497
Distinct (%)83.2%
Missing95
Missing (%)13.7%
Infinite0
Infinite (%)0.0%
Mean37.513511
Minimum36.955851
Maximum37.942477
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.2 KiB
2023-12-11T06:45:40.773268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.955851
5-th percentile37.254945
Q137.377004
median37.508672
Q337.656485
95-th percentile37.736808
Maximum37.942477
Range0.98662579
Interquartile range (IQR)0.27948127

Descriptive statistics

Standard deviation0.17162397
Coefficient of variation (CV)0.0045749909
Kurtosis-0.68905533
Mean37.513511
Median Absolute Deviation (MAD)0.14623612
Skewness-0.31718473
Sum22395.566
Variance0.029454787
MonotonicityNot monotonic
2023-12-11T06:45:40.877920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.6548220944 14
 
2.0%
37.5015441631 13
 
1.9%
37.6360673422 9
 
1.3%
37.6642879953 6
 
0.9%
37.6605660549 6
 
0.9%
37.6542685607 6
 
0.9%
37.5086718515 5
 
0.7%
37.6607585379 4
 
0.6%
37.6572135804 4
 
0.6%
37.6441922923 4
 
0.6%
Other values (487) 526
76.0%
(Missing) 95
 
13.7%
ValueCountFrequency (%)
36.9558508975 1
0.1%
36.9823624788 1
0.1%
37.0000049563 1
0.1%
37.0597397151 1
0.1%
37.0623757353 2
0.3%
37.0649803831 1
0.1%
37.1392086046 1
0.1%
37.1420640197 1
0.1%
37.1565204487 1
0.1%
37.1984980095 1
0.1%
ValueCountFrequency (%)
37.9424766863 1
0.1%
37.9000918676 1
0.1%
37.8933502885 1
0.1%
37.8920502025 1
0.1%
37.8679092706 1
0.1%
37.8576753628 1
0.1%
37.7950783892 1
0.1%
37.7947047583 1
0.1%
37.7894050086 1
0.1%
37.7883508417 1
0.1%

WGS84경도
Real number (ℝ)

MISSING 

Distinct497
Distinct (%)83.2%
Missing95
Missing (%)13.7%
Infinite0
Infinite (%)0.0%
Mean126.93253
Minimum126.55494
Maximum127.61861
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.2 KiB
2023-12-11T06:45:40.993589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.55494
5-th percentile126.69905
Q1126.77197
median126.84455
Q3127.09813
95-th percentile127.24361
Maximum127.61861
Range1.0636647
Interquartile range (IQR)0.32615671

Descriptive statistics

Standard deviation0.19030396
Coefficient of variation (CV)0.0014992529
Kurtosis0.16404323
Mean126.93253
Median Absolute Deviation (MAD)0.10666424
Skewness0.79044225
Sum75778.721
Variance0.036215598
MonotonicityNot monotonic
2023-12-11T06:45:41.117759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.7707679935 14
 
2.0%
126.7875459075 13
 
1.9%
126.831961552 9
 
1.3%
126.7667297216 6
 
0.9%
126.7553040519 6
 
0.9%
126.838963285 6
 
0.9%
126.7437361036 5
 
0.7%
126.7658801073 4
 
0.6%
126.7697922897 4
 
0.6%
126.7909463738 4
 
0.6%
Other values (487) 526
76.0%
(Missing) 95
 
13.7%
ValueCountFrequency (%)
126.5549405476 1
0.1%
126.6101104277 1
0.1%
126.621303491 1
0.1%
126.6338709536 1
0.1%
126.6551253562 1
0.1%
126.6624189363 1
0.1%
126.6706555755 1
0.1%
126.6799054053 1
0.1%
126.6802636783 1
0.1%
126.6802832974 1
0.1%
ValueCountFrequency (%)
127.6186052248 1
0.1%
127.5825050785 1
0.1%
127.5568679248 1
0.1%
127.5511469632 1
0.1%
127.5213880907 1
0.1%
127.5128104714 1
0.1%
127.4908710167 1
0.1%
127.4907233037 1
0.1%
127.4749021186 1
0.1%
127.4586048632 1
0.1%

업태구분명정보
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing692
Missing (%)100.0%
Memory size6.2 KiB

X좌표값
Real number (ℝ)

MISSING 

Distinct81
Distinct (%)96.4%
Missing608
Missing (%)87.9%
Infinite0
Infinite (%)0.0%
Mean197809.06
Minimum171018.21
Maximum245701.25
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.2 KiB
2023-12-11T06:45:41.225393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum171018.21
5-th percentile175289.67
Q1179874.29
median198922.83
Q3210403.34
95-th percentile220725.23
Maximum245701.25
Range74683.043
Interquartile range (IQR)30529.055

Descriptive statistics

Standard deviation17846.303
Coefficient of variation (CV)0.090219849
Kurtosis-0.60673696
Mean197809.06
Median Absolute Deviation (MAD)14882.961
Skewness0.37247827
Sum16615961
Variance3.1849055 × 108
MonotonicityNot monotonic
2023-12-11T06:45:41.333759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
203607.85614162 2
 
0.3%
179691.3500396 2
 
0.3%
180279.378227827 2
 
0.3%
207407.69981894 1
 
0.1%
209922.250514357 1
 
0.1%
210517.567889088 1
 
0.1%
215905.703795488 1
 
0.1%
214333.986893502 1
 
0.1%
235244.758735556 1
 
0.1%
241529.511270037 1
 
0.1%
Other values (71) 71
 
10.3%
(Missing) 608
87.9%
ValueCountFrequency (%)
171018.208974742 1
0.1%
171240.361388642 1
0.1%
172078.049778756 1
0.1%
173027.840451179 1
0.1%
175215.126053374 1
0.1%
175712.066499505 1
0.1%
175792.246342415 1
0.1%
176793.574232186 1
0.1%
177184.509415553 1
0.1%
177849.195871901 1
0.1%
ValueCountFrequency (%)
245701.251528399 1
0.1%
241529.511270037 1
0.1%
235244.758735556 1
0.1%
231714.772994886 1
0.1%
220729.82845095 1
0.1%
220699.140983597 1
0.1%
218395.554638341 1
0.1%
218344.47997108 1
0.1%
218301.072636912 1
0.1%
218188.947 1
0.1%

Y좌표값
Real number (ℝ)

MISSING 

Distinct81
Distinct (%)96.4%
Missing608
Missing (%)87.9%
Infinite0
Infinite (%)0.0%
Mean450017.52
Minimum409662.44
Maximum488723.76
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.2 KiB
2023-12-11T06:45:41.444035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum409662.44
5-th percentile415740.55
Q1432729.54
median457885.8
Q3463452.8
95-th percentile477610.93
Maximum488723.76
Range79061.328
Interquartile range (IQR)30723.266

Descriptive statistics

Standard deviation20554.799
Coefficient of variation (CV)0.045675554
Kurtosis-0.94393037
Mean450017.52
Median Absolute Deviation (MAD)13864.812
Skewness-0.36926277
Sum37801471
Variance4.2249977 × 108
MonotonicityNot monotonic
2023-12-11T06:45:41.570165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
409662.435435656 2
 
0.3%
461619.457487343 2
 
0.3%
488723.763612322 2
 
0.3%
479225.296878532 1
 
0.1%
420048.308643417 1
 
0.1%
419792.271020155 1
 
0.1%
413679.309138185 1
 
0.1%
419030.615795096 1
 
0.1%
445978.808058867 1
 
0.1%
448240.07648763 1
 
0.1%
Other values (71) 71
 
10.3%
(Missing) 608
87.9%
ValueCountFrequency (%)
409662.435435656 2
0.3%
410872.023927048 1
0.1%
413679.309138185 1
0.1%
415317.593988416 1
0.1%
418137.288094922 1
0.1%
418582.558744241 1
0.1%
419030.615795096 1
0.1%
419194.9866926 1
0.1%
419792.271020155 1
0.1%
420048.308643417 1
0.1%
ValueCountFrequency (%)
488723.763612322 2
0.3%
481067.465247667 1
0.1%
479225.296878532 1
0.1%
477953.888792911 1
0.1%
475667.489926511 1
0.1%
474258.416832579 1
0.1%
473113.027759752 1
0.1%
472470.02239466 1
0.1%
471982.236612795 1
0.1%
471808.943723376 1
0.1%

문화체육업종명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.5 KiB
영화제작업
691 
<NA>
 
1

Length

Max length5
Median length5
Mean length4.9985549
Min length4

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
영화제작업 691
99.9%
<NA> 1
 
0.1%

Length

2023-12-11T06:45:41.720371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:45:41.815764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영화제작업 691
99.9%
na 1
 
0.1%

총층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.5 KiB
<NA>
619 
0
73 

Length

Max length4
Median length4
Mean length3.683526
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 619
89.5%
0 73
 
10.5%

Length

2023-12-11T06:45:41.924791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:45:42.018710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 619
89.5%
0 73
 
10.5%

주변환경명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing692
Missing (%)100.0%
Memory size6.2 KiB

지상층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.5 KiB
<NA>
619 
0
73 

Length

Max length4
Median length4
Mean length3.683526
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 619
89.5%
0 73
 
10.5%

Length

2023-12-11T06:45:42.101862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:45:42.200020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 619
89.5%
0 73
 
10.5%

지하층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.5 KiB
<NA>
619 
0
73 

Length

Max length4
Median length4
Mean length3.683526
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 619
89.5%
0 73
 
10.5%

Length

2023-12-11T06:45:42.324837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:45:42.414155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 619
89.5%
0 73
 
10.5%

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.5 KiB
<NA>
619 
0
73 

Length

Max length4
Median length4
Mean length3.683526
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 619
89.5%
0 73
 
10.5%

Length

2023-12-11T06:45:42.503382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:45:42.588060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 619
89.5%
0 73
 
10.5%

조명시설조도량
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.5 KiB
<NA>
619 
0
73 

Length

Max length4
Median length4
Mean length3.683526
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 619
89.5%
0 73
 
10.5%

Length

2023-12-11T06:45:42.679706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:45:42.766101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 619
89.5%
0 73
 
10.5%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.5 KiB
<NA>
619 
0
73 

Length

Max length4
Median length4
Mean length3.683526
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 619
89.5%
0 73
 
10.5%

Length

2023-12-11T06:45:42.871976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:45:43.012209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 619
89.5%
0 73
 
10.5%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.5 KiB
<NA>
619 
0
73 

Length

Max length4
Median length4
Mean length3.683526
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 619
89.5%
0 73
 
10.5%

Length

2023-12-11T06:45:43.140682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:45:43.267647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 619
89.5%
0 73
 
10.5%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing692
Missing (%)100.0%
Memory size6.2 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing692
Missing (%)100.0%
Memory size6.2 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing692
Missing (%)100.0%
Memory size6.2 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing692
Missing (%)100.0%
Memory size6.2 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing692
Missing (%)100.0%
Memory size6.2 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing692
Missing (%)100.0%
Memory size6.2 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing692
Missing (%)100.0%
Memory size6.2 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing692
Missing (%)100.0%
Memory size6.2 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing692
Missing (%)100.0%
Memory size6.2 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing692
Missing (%)100.0%
Memory size6.2 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing692
Missing (%)100.0%
Memory size6.2 KiB

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.5 KiB
<NA>
619 
0
73 

Length

Max length4
Median length4
Mean length3.683526
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 619
89.5%
0 73
 
10.5%

Length

2023-12-11T06:45:43.398787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:45:43.523095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 619
89.5%
0 73
 
10.5%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing692
Missing (%)100.0%
Memory size6.2 KiB

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing692
Missing (%)100.0%
Memory size6.2 KiB

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing692
Missing (%)100.0%
Memory size6.2 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing692
Missing (%)100.0%
Memory size6.2 KiB

최초등록시점
Real number (ℝ)

Distinct598
Distinct (%)86.5%
Missing1
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean20130219
Minimum19960206
Maximum20231204
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.2 KiB
2023-12-11T06:45:43.621161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19960206
5-th percentile20030967
Q120100118
median20140103
Q320161112
95-th percentile20230512
Maximum20231204
Range270998
Interquartile range (IQR)60994.5

Descriptive statistics

Standard deviation53175.882
Coefficient of variation (CV)0.0026415948
Kurtosis0.12338598
Mean20130219
Median Absolute Deviation (MAD)30310
Skewness-0.35016644
Sum1.3909981 × 1010
Variance2.8276745 × 109
MonotonicityNot monotonic
2023-12-11T06:45:43.765908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20160202 4
 
0.6%
20150821 3
 
0.4%
20150107 3
 
0.4%
20171207 3
 
0.4%
20160701 3
 
0.4%
20170405 3
 
0.4%
20090113 3
 
0.4%
20010716 3
 
0.4%
20090617 3
 
0.4%
20170510 3
 
0.4%
Other values (588) 660
95.4%
ValueCountFrequency (%)
19960206 1
0.1%
19970125 1
0.1%
19980526 1
0.1%
19980820 1
0.1%
19990531 1
0.1%
19990820 1
0.1%
20000302 2
0.3%
20000308 1
0.1%
20000513 1
0.1%
20000727 1
0.1%
ValueCountFrequency (%)
20231204 1
0.1%
20231116 1
0.1%
20231109 1
0.1%
20231107 1
0.1%
20231019 1
0.1%
20230911 1
0.1%
20230830 1
0.1%
20230823 2
0.3%
20230822 1
0.1%
20230814 1
0.1%

Sample

시군명사업장명인허가일자인허가취소일자영업상태구분코드영업상태명폐업일자소재지시설전화번호소재지면적정보도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도업태구분명정보X좌표값Y좌표값문화체육업종명총층수주변환경명지상층수지하층수통로너비조명시설조도량노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점
0가평군문스톤 픽처스2023-06-30<NA>13영업중<NA><NA><NA>12411경기도 가평군 가평읍 자라목*길 **, *층 ***호 (J정동아파트)경기도 가평군 가평읍 읍내리 ***-* J정동아파트 ***호<NA><NA><NA><NA>245701.251528481067.465248영화제작업0<NA>000000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA>20230630
1고양시영화사빅2023-08-23<NA>13영업중<NA><NA><NA>10584경기도 고양시 덕양구 안진로 **, ***호 (지축동)경기도 고양시 덕양구 지축동 ****-* ***호10585<NA><NA><NA><NA><NA>영화제작업0<NA>000000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA>20230823
2고양시(주)퍼니필름2018-04-17<NA>13영업중<NA><NA><NA>10402경기도 고양시 일산동구 정발산로 **-**, 센트럴프라자 ***호 (장항동)경기도 고양시 일산동구 장항동 *** 센트럴프라자<NA><NA><NA><NA>179935.267999461800.124782영화제작업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20180417
3고양시(주)카이로스 메이커스2020-04-09<NA>13영업중<NA><NA><NA>10578경기도 고양시 덕양구 오금*길 **, ***호 (오금동)경기도 고양시 덕양구 오금동 * ***호<NA><NA><NA><NA>191068.866959461895.726138영화제작업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20200409
4고양시(주)스튜디오에이치앤비2023-06-02<NA>13영업중<NA>02-3158-2023<NA>10541경기도 고양시 덕양구 덕은*로 **, *층 (덕은동)경기도 고양시 덕양구 덕은동 ***-* *층10544<NA><NA><NA>188937.005454453958.90001영화제작업0<NA>000000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA>20230602
5고양시걸리버픽처스2017-05-10<NA>13영업중<NA><NA><NA>10387경기도 고양시 일산서구 중앙로 ****, ***-*호 (주엽동)경기도 고양시 일산서구 주엽동 **-* 서현프라자<NA><NA><NA><NA>178668.32112463267.005754영화제작업0<NA>000000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA>20170510
6고양시주식회사 조이엔시네마2023-04-03<NA>13영업중<NA><NA><NA>10592경기도 고양시 덕양구 삼송로 ***, 힐스테이트삼송역스칸센 ***동 ****호 (삼송동)경기도 고양시 덕양구 삼송동 *** 힐스테이트삼송역스칸센 ***동 ****호10577<NA><NA><NA>191188.364866461198.509404영화제작업0<NA>000000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA>20230403
7고양시케이앤아이2023-04-05<NA>13영업중<NA><NA><NA>10401경기도 고양시 일산동구 무궁화로 **, 한라밀라트 씨동 ***호 (장항동)경기도 고양시 일산동구 장항동 ***-* 한라밀라트 씨동 ***호<NA><NA><NA><NA>179335.37534462150.094798영화제작업0<NA>000000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA>20230405
8고양시(주)스톤브이스튜디오2023-04-26<NA>13영업중<NA>0319016700<NA>10402경기도 고양시 일산동구 정발산로 **, 지평프라자 **층 ****호, ****호 (장항동)경기도 고양시 일산동구 장항동 *** 지평프라자 **층 ****호, ****호<NA><NA><NA><NA>179691.35004461619.457487영화제작업0<NA>000000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA>20230426
9고양시영화로운 형제2023-05-31<NA>13영업중<NA><NA><NA>10510경기도 고양시 덕양구 지도로**번길 **, *층 (토당동)경기도 고양시 덕양구 토당동 ***-* *층10509<NA><NA><NA>184185.187464457638.572355영화제작업0<NA>000000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA>20230531
시군명사업장명인허가일자인허가취소일자영업상태구분코드영업상태명폐업일자소재지시설전화번호소재지면적정보도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도업태구분명정보X좌표값Y좌표값문화체육업종명총층수주변환경명지상층수지하층수통로너비조명시설조도량노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점
682하남시주식회사 브이에이스튜디오2015-11-16<NA>15전출2023-04-17<NA><NA>12922경기도 하남시 미사강변한강로 *** (망월동)경기도 하남시 망월동 ****<NA><NA><NA><NA>217689.568342451018.120226영화제작업0<NA>000000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA>20151116
683화성시(주)공룡알픽처스2013-10-11<NA>13영업중<NA><NA><NA>18547경기도 화성시 송산면 공룡로***번길 **-*, *층경기도 화성시 송산면 쌍정리 **-* *층<NA><NA><NA><NA>175792.246342415317.593988영화제작업0<NA>000000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA>20131011
684화성시주식회사 하라필름2023-05-12<NA>13영업중<NA><NA><NA>18455경기도 화성시 동탄문화센터로 **, 아시아 프라자 *층 ***호 (반송동)경기도 화성시 반송동 ***-* 아시아 프라자 ***호<NA><NA><NA><NA>206331.013024410872.023927영화제작업0<NA>000000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA>20230512
685화성시양지은Film20150909<NA><NA>운영중<NA><NA><NA><NA>경기도 화성시 **용사로 ***, ****동 ***호 (능동, 송골마을 우남퍼스트빌 아파트)경기도 화성시 능동 ****번지 송골마을 우남퍼스트빌아파트 ****동 ***호1841837.198498127.048975<NA><NA><NA>영화제작업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20150909
686화성시톰 패밀리20170405<NA><NA>운영중<NA><NA><NA><NA>경기도 화성시 동탄원천로 ***-**, ***호 (능동, 이너매스 비즈센터**호)경기도 화성시 능동 ****-*번지1842337.218275127.058731<NA><NA><NA>영화제작업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20170405
687화성시양지필름20080318<NA><NA>운영중<NA><NA><NA><NA>경기도 화성시 화산중앙로 ** (송산동)경기도 화성시 송산동 ***번지 한승미메이드 아파트 ***-***1835937.207688127.013793<NA><NA><NA>영화제작업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20080318
688화성시(주)다산시네마20130806<NA><NA>운영중<NA><NA><NA><NA>경기도 화성시 효행로 ****, ***호 (진안동, 미래프라자)경기도 화성시 진안동 ***-*번지1839837.214744127.042645<NA><NA><NA>영화제작업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20130806
689화성시엠에스케이컨텐츠20160113<NA><NA>운영중<NA><NA><NA><NA>경기도 화성시 **용사로 ***, ****동 ***호 (능동, 송골마을 우남퍼스트빌 아파트)경기도 화성시 능동 ****번지 송골마을 우남퍼스트빌아파트 ****동 ***호1841837.199253127.050706<NA><NA><NA>영화제작업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20160113
690화성시핸디크라프트 필름(HandiCraft Film)20090112<NA><NA>운영중<NA><NA><NA><NA>경기도 화성시 서신면 살곶이길**번길 ** (*층)경기도 화성시 서신면 송교리 ***-*번지 *층44588337.15652126.655125<NA><NA><NA>영화제작업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20090112
691화성시미디어 선20110804<NA><NA>운영중<NA><NA><NA><NA>경기도 화성시 동탄중앙로 *** (반송동)경기도 화성시 반송동 **번지 메타폴리스 B동 ****호1844537.204538127.068491<NA><NA><NA>영화제작업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20110804