Overview

Dataset statistics

Number of variables50
Number of observations803
Missing cells22889
Missing cells (%)57.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory342.8 KiB
Average record size in memory437.2 B

Variable types

Categorical12
Text5
DateTime4
Numeric6
Unsupported23

Dataset

Description대중문화예술기획업_인허가
Author행정안전부
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=S48TX45ELR8QRZ4HU3W827856072&infSeq=1

Alerts

문화체육업종명 has constant value ""Constant
문화사업자구분명 has constant value ""Constant
영업상태 is highly imbalanced (55.7%)Imbalance
우편번호 has 388 (48.3%) missing valuesMissing
전화번호 has 653 (81.3%) missing valuesMissing
WGS84위도 has 425 (52.9%) missing valuesMissing
WGS84경도 has 425 (52.9%) missing valuesMissing
인허가취소일자 has 803 (100.0%) missing valuesMissing
폐업일자 has 615 (76.6%) missing valuesMissing
휴업시작일자 has 793 (98.8%) missing valuesMissing
휴업종료일자 has 793 (98.8%) missing valuesMissing
재개업일자 has 803 (100.0%) missing valuesMissing
소재지면적 has 803 (100.0%) missing valuesMissing
X좌표값 has 29 (3.6%) missing valuesMissing
Y좌표값 has 29 (3.6%) missing valuesMissing
지역구분명 has 803 (100.0%) missing valuesMissing
주변환경명 has 803 (100.0%) missing valuesMissing
보험기관명 has 803 (100.0%) missing valuesMissing
건물용도명 has 803 (100.0%) missing valuesMissing
시설면적 has 264 (32.9%) missing valuesMissing
비상계단여부 has 803 (100.0%) missing valuesMissing
비상구여부 has 803 (100.0%) missing valuesMissing
자동환기여부 has 803 (100.0%) missing valuesMissing
청소년실여부 has 803 (100.0%) missing valuesMissing
특수조명여부 has 803 (100.0%) missing valuesMissing
방음시설여부 has 803 (100.0%) missing valuesMissing
비디오재생기명 has 803 (100.0%) missing valuesMissing
조명시설유무 has 803 (100.0%) missing valuesMissing
음향시설여부 has 803 (100.0%) missing valuesMissing
편의시설여부 has 803 (100.0%) missing valuesMissing
소방시설여부 has 803 (100.0%) missing valuesMissing
기존게임업외업종명 has 803 (100.0%) missing valuesMissing
제공게임물명 has 803 (100.0%) missing valuesMissing
공연장형태구분명 has 803 (100.0%) missing valuesMissing
품목명 has 803 (100.0%) missing valuesMissing
최초등록시점 has 803 (100.0%) missing valuesMissing
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
지역구분명 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
보험기관명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
건물용도명 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
최초등록시점 is an unsupported type, check if it needs cleaning or further analysisUnsupported
시설면적 has 256 (31.9%) zerosZeros

Reproduction

Analysis started2023-12-10 21:32:48.609514
Analysis finished2023-12-10 21:32:49.788670
Duration1.18 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

Distinct30
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
고양시
191 
성남시
113 
용인시
49 
파주시
49 
김포시
48 
Other values (25)
353 

Length

Max length4
Median length3
Mean length3.0821918
Min length3

Unique

Unique3 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
고양시 191
23.8%
성남시 113
14.1%
용인시 49
 
6.1%
파주시 49
 
6.1%
김포시 48
 
6.0%
남양주시 44
 
5.5%
수원시 41
 
5.1%
부천시 41
 
5.1%
화성시 26
 
3.2%
하남시 26
 
3.2%
Other values (20) 175
21.8%

Length

2023-12-11T06:32:49.854645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
고양시 191
23.8%
성남시 113
14.1%
용인시 49
 
6.1%
파주시 49
 
6.1%
김포시 48
 
6.0%
남양주시 44
 
5.5%
수원시 41
 
5.1%
부천시 41
 
5.1%
화성시 26
 
3.2%
하남시 26
 
3.2%
Other values (20) 175
21.8%
Distinct767
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
2023-12-11T06:32:50.101701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length34
Mean length10.596513
Min length2

Characters and Unicode

Total characters8509
Distinct characters494
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique733 ?
Unique (%)91.3%

Sample

1st row(주)허브뮤직
2nd row사단법인 자라섬청소년재즈센터
3rd row좋은배우 엔터테인먼트(주)
4th row지네이션이엔엠
5th row(주) 더 행복한 사람들
ValueCountFrequency (%)
주식회사 244
 
19.0%
엔터테인먼트 54
 
4.2%
entertainment 13
 
1.0%
9
 
0.7%
music 8
 
0.6%
company 5
 
0.4%
뮤직 5
 
0.4%
매니지먼트 4
 
0.3%
유한회사 4
 
0.3%
co 4
 
0.3%
Other values (871) 932
72.7%
2023-12-11T06:32:50.524492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
481
 
5.7%
382
 
4.5%
306
 
3.6%
296
 
3.5%
289
 
3.4%
282
 
3.3%
265
 
3.1%
264
 
3.1%
261
 
3.1%
257
 
3.0%
Other values (484) 5426
63.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6306
74.1%
Lowercase Letter 630
 
7.4%
Uppercase Letter 562
 
6.6%
Space Separator 481
 
5.7%
Close Punctuation 223
 
2.6%
Open Punctuation 222
 
2.6%
Other Punctuation 38
 
0.4%
Decimal Number 37
 
0.4%
Dash Punctuation 6
 
0.1%
Other Symbol 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
382
 
6.1%
306
 
4.9%
296
 
4.7%
289
 
4.6%
282
 
4.5%
265
 
4.2%
264
 
4.2%
261
 
4.1%
257
 
4.1%
255
 
4.0%
Other values (414) 3449
54.7%
Uppercase Letter
ValueCountFrequency (%)
E 59
 
10.5%
M 42
 
7.5%
S 40
 
7.1%
R 39
 
6.9%
T 35
 
6.2%
A 31
 
5.5%
O 31
 
5.5%
C 28
 
5.0%
L 27
 
4.8%
N 26
 
4.6%
Other values (16) 204
36.3%
Lowercase Letter
ValueCountFrequency (%)
n 81
12.9%
t 80
12.7%
e 76
12.1%
o 56
8.9%
a 51
8.1%
i 46
7.3%
m 41
 
6.5%
r 40
 
6.3%
c 27
 
4.3%
s 23
 
3.7%
Other values (14) 109
17.3%
Decimal Number
ValueCountFrequency (%)
1 7
18.9%
5 7
18.9%
3 5
13.5%
0 4
10.8%
4 4
10.8%
7 3
8.1%
8 3
8.1%
6 2
 
5.4%
9 1
 
2.7%
2 1
 
2.7%
Other Punctuation
ValueCountFrequency (%)
. 25
65.8%
, 6
 
15.8%
& 5
 
13.2%
' 1
 
2.6%
! 1
 
2.6%
Space Separator
ValueCountFrequency (%)
481
100.0%
Close Punctuation
ValueCountFrequency (%)
) 223
100.0%
Open Punctuation
ValueCountFrequency (%)
( 222
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Other Symbol
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6308
74.1%
Latin 1192
 
14.0%
Common 1007
 
11.8%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
382
 
6.1%
306
 
4.9%
296
 
4.7%
289
 
4.6%
282
 
4.5%
265
 
4.2%
264
 
4.2%
261
 
4.1%
257
 
4.1%
255
 
4.0%
Other values (413) 3451
54.7%
Latin
ValueCountFrequency (%)
n 81
 
6.8%
t 80
 
6.7%
e 76
 
6.4%
E 59
 
4.9%
o 56
 
4.7%
a 51
 
4.3%
i 46
 
3.9%
M 42
 
3.5%
m 41
 
3.4%
r 40
 
3.4%
Other values (40) 620
52.0%
Common
ValueCountFrequency (%)
481
47.8%
) 223
22.1%
( 222
22.0%
. 25
 
2.5%
1 7
 
0.7%
5 7
 
0.7%
, 6
 
0.6%
- 6
 
0.6%
& 5
 
0.5%
3 5
 
0.5%
Other values (9) 20
 
2.0%
Han
ValueCountFrequency (%)
1
50.0%
1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6304
74.1%
ASCII 2199
 
25.8%
None 4
 
< 0.1%
CJK 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
481
21.9%
) 223
 
10.1%
( 222
 
10.1%
n 81
 
3.7%
t 80
 
3.6%
e 76
 
3.5%
E 59
 
2.7%
o 56
 
2.5%
a 51
 
2.3%
i 46
 
2.1%
Other values (59) 824
37.5%
Hangul
ValueCountFrequency (%)
382
 
6.1%
306
 
4.9%
296
 
4.7%
289
 
4.6%
282
 
4.5%
265
 
4.2%
264
 
4.2%
261
 
4.1%
257
 
4.1%
255
 
4.0%
Other values (412) 3447
54.7%
None
ValueCountFrequency (%)
4
100.0%
CJK
ValueCountFrequency (%)
1
50.0%
1
50.0%

영업상태
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
영업중
603 
전출
99 
폐업
88 
휴업
 
10
직권말소
 
2

Length

Max length4
Median length3
Mean length2.758406
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 603
75.1%
전출 99
 
12.3%
폐업 88
 
11.0%
휴업 10
 
1.2%
직권말소 2
 
0.2%
등록취소 1
 
0.1%

Length

2023-12-11T06:32:50.660727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:32:50.784249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 603
75.1%
전출 99
 
12.3%
폐업 88
 
11.0%
휴업 10
 
1.2%
직권말소 2
 
0.2%
등록취소 1
 
0.1%
Distinct574
Distinct (%)71.5%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
Minimum2011-08-29 00:00:00
Maximum2023-12-05 00:00:00
2023-12-11T06:32:50.937280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:32:51.107164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct759
Distinct (%)94.5%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
2023-12-11T06:32:51.445265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length68
Median length49
Mean length39.463263
Min length18

Characters and Unicode

Total characters31689
Distinct characters467
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique723 ?
Unique (%)90.0%

Sample

1st row경기도 가평군 가평읍 아랫마장길 **-**
2nd row경기도 가평군 가평읍 가화로 ***, ***호
3rd row경기도 가평군 상면 임초밤안골로 ***-*
4th row경기도 가평군 가평읍 석봉로*번길 **, ***호
5th row경기도 고양시 일산동구 정발산로***번길 *-**, 지층 (마두동)
ValueCountFrequency (%)
810
 
12.8%
경기도 802
 
12.7%
539
 
8.5%
245
 
3.9%
197
 
3.1%
고양시 191
 
3.0%
성남시 113
 
1.8%
일산동구 105
 
1.7%
분당구 80
 
1.3%
장항동 53
 
0.8%
Other values (1388) 3185
50.4%
2023-12-11T06:32:51.920073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 5939
18.7%
5517
17.4%
1230
 
3.9%
, 988
 
3.1%
881
 
2.8%
854
 
2.7%
837
 
2.6%
834
 
2.6%
) 757
 
2.4%
( 757
 
2.4%
Other values (457) 13095
41.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 17288
54.6%
Other Punctuation 6934
21.9%
Space Separator 5517
 
17.4%
Close Punctuation 757
 
2.4%
Open Punctuation 757
 
2.4%
Dash Punctuation 240
 
0.8%
Uppercase Letter 174
 
0.5%
Lowercase Letter 17
 
0.1%
Math Symbol 3
 
< 0.1%
Letter Number 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1230
 
7.1%
881
 
5.1%
854
 
4.9%
837
 
4.8%
834
 
4.8%
754
 
4.4%
653
 
3.8%
488
 
2.8%
368
 
2.1%
356
 
2.1%
Other values (415) 10033
58.0%
Uppercase Letter
ValueCountFrequency (%)
B 38
21.8%
I 31
17.8%
A 29
16.7%
C 13
 
7.5%
F 8
 
4.6%
E 7
 
4.0%
T 6
 
3.4%
D 6
 
3.4%
M 6
 
3.4%
S 4
 
2.3%
Other values (13) 26
14.9%
Lowercase Letter
ValueCountFrequency (%)
e 6
35.3%
n 3
17.6%
t 2
 
11.8%
i 2
 
11.8%
r 1
 
5.9%
c 1
 
5.9%
w 1
 
5.9%
s 1
 
5.9%
Other Punctuation
ValueCountFrequency (%)
* 5939
85.7%
, 988
 
14.2%
& 3
 
< 0.1%
. 2
 
< 0.1%
· 2
 
< 0.1%
Space Separator
ValueCountFrequency (%)
5517
100.0%
Close Punctuation
ValueCountFrequency (%)
) 757
100.0%
Open Punctuation
ValueCountFrequency (%)
( 757
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 240
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%
Letter Number
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 17288
54.6%
Common 14208
44.8%
Latin 193
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1230
 
7.1%
881
 
5.1%
854
 
4.9%
837
 
4.8%
834
 
4.8%
754
 
4.4%
653
 
3.8%
488
 
2.8%
368
 
2.1%
356
 
2.1%
Other values (415) 10033
58.0%
Latin
ValueCountFrequency (%)
B 38
19.7%
I 31
16.1%
A 29
15.0%
C 13
 
6.7%
F 8
 
4.1%
E 7
 
3.6%
T 6
 
3.1%
D 6
 
3.1%
e 6
 
3.1%
M 6
 
3.1%
Other values (22) 43
22.3%
Common
ValueCountFrequency (%)
* 5939
41.8%
5517
38.8%
, 988
 
7.0%
) 757
 
5.3%
( 757
 
5.3%
- 240
 
1.7%
~ 3
 
< 0.1%
& 3
 
< 0.1%
. 2
 
< 0.1%
· 2
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 17288
54.6%
ASCII 14397
45.4%
Number Forms 2
 
< 0.1%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 5939
41.3%
5517
38.3%
, 988
 
6.9%
) 757
 
5.3%
( 757
 
5.3%
- 240
 
1.7%
B 38
 
0.3%
I 31
 
0.2%
A 29
 
0.2%
C 13
 
0.1%
Other values (30) 88
 
0.6%
Hangul
ValueCountFrequency (%)
1230
 
7.1%
881
 
5.1%
854
 
4.9%
837
 
4.8%
834
 
4.8%
754
 
4.4%
653
 
3.8%
488
 
2.8%
368
 
2.1%
356
 
2.1%
Other values (415) 10033
58.0%
Number Forms
ValueCountFrequency (%)
2
100.0%
None
ValueCountFrequency (%)
· 2
100.0%
Distinct716
Distinct (%)89.8%
Missing6
Missing (%)0.7%
Memory size6.4 KiB
2023-12-11T06:32:52.456208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length38
Mean length27.311167
Min length10

Characters and Unicode

Total characters21767
Distinct characters413
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique660 ?
Unique (%)82.8%

Sample

1st row경기도 가평군 가평읍 마장리 ***-*번지
2nd row경기도 가평군 가평읍 읍내리 ***-* ***호
3rd row경기도 가평군 상면 임초리 ***-*
4th row경기도 가평군 가평읍 대곡리 ***-* ***호
5th row경기도 고양시 일산동구 마두동 ***-*
ValueCountFrequency (%)
경기도 796
 
17.2%
557
 
12.1%
번지 233
 
5.0%
고양시 189
 
4.1%
167
 
3.6%
성남시 112
 
2.4%
일산동구 104
 
2.3%
분당구 79
 
1.7%
66
 
1.4%
장항동 53
 
1.1%
Other values (849) 2265
49.0%
2023-12-11T06:32:52.902754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4348
20.0%
* 3998
18.4%
969
 
4.5%
842
 
3.9%
835
 
3.8%
817
 
3.8%
804
 
3.7%
478
 
2.2%
- 475
 
2.2%
352
 
1.6%
Other values (403) 7849
36.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12828
58.9%
Space Separator 4348
 
20.0%
Other Punctuation 4008
 
18.4%
Dash Punctuation 475
 
2.2%
Uppercase Letter 80
 
0.4%
Lowercase Letter 16
 
0.1%
Close Punctuation 5
 
< 0.1%
Open Punctuation 5
 
< 0.1%
Letter Number 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
969
 
7.6%
842
 
6.6%
835
 
6.5%
817
 
6.4%
804
 
6.3%
478
 
3.7%
352
 
2.7%
345
 
2.7%
287
 
2.2%
233
 
1.8%
Other values (363) 6866
53.5%
Uppercase Letter
ValueCountFrequency (%)
I 17
21.2%
B 14
17.5%
A 9
11.2%
T 6
 
7.5%
E 4
 
5.0%
C 4
 
5.0%
R 3
 
3.8%
W 2
 
2.5%
K 2
 
2.5%
M 2
 
2.5%
Other values (13) 17
21.2%
Lowercase Letter
ValueCountFrequency (%)
e 6
37.5%
n 3
18.8%
i 2
 
12.5%
t 2
 
12.5%
r 1
 
6.2%
c 1
 
6.2%
s 1
 
6.2%
Other Punctuation
ValueCountFrequency (%)
* 3998
99.8%
, 4
 
0.1%
& 3
 
0.1%
· 2
 
< 0.1%
. 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
4348
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 475
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Letter Number
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12828
58.9%
Common 8841
40.6%
Latin 98
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
969
 
7.6%
842
 
6.6%
835
 
6.5%
817
 
6.4%
804
 
6.3%
478
 
3.7%
352
 
2.7%
345
 
2.7%
287
 
2.2%
233
 
1.8%
Other values (363) 6866
53.5%
Latin
ValueCountFrequency (%)
I 17
17.3%
B 14
14.3%
A 9
 
9.2%
T 6
 
6.1%
e 6
 
6.1%
E 4
 
4.1%
C 4
 
4.1%
n 3
 
3.1%
R 3
 
3.1%
i 2
 
2.0%
Other values (21) 30
30.6%
Common
ValueCountFrequency (%)
4348
49.2%
* 3998
45.2%
- 475
 
5.4%
) 5
 
0.1%
( 5
 
0.1%
, 4
 
< 0.1%
& 3
 
< 0.1%
· 2
 
< 0.1%
. 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12828
58.9%
ASCII 8935
41.0%
None 2
 
< 0.1%
Number Forms 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4348
48.7%
* 3998
44.7%
- 475
 
5.3%
I 17
 
0.2%
B 14
 
0.2%
A 9
 
0.1%
T 6
 
0.1%
e 6
 
0.1%
) 5
 
0.1%
( 5
 
0.1%
Other values (28) 52
 
0.6%
Hangul
ValueCountFrequency (%)
969
 
7.6%
842
 
6.6%
835
 
6.5%
817
 
6.4%
804
 
6.3%
478
 
3.7%
352
 
2.7%
345
 
2.7%
287
 
2.2%
233
 
1.8%
Other values (363) 6866
53.5%
None
ValueCountFrequency (%)
· 2
100.0%
Number Forms
ValueCountFrequency (%)
2
100.0%

우편번호
Real number (ℝ)

MISSING 

Distinct304
Distinct (%)73.3%
Missing388
Missing (%)48.3%
Infinite0
Infinite (%)0.0%
Mean12900.313
Minimum10026
Maximum18595
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.2 KiB
2023-12-11T06:32:53.035940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10026
5-th percentile10112.4
Q110430.5
median12713
Q314586
95-th percentile17795.8
Maximum18595
Range8569
Interquartile range (IQR)4155.5

Descriptive statistics

Standard deviation2569.0926
Coefficient of variation (CV)0.19914963
Kurtosis-0.85645182
Mean12900.313
Median Absolute Deviation (MAD)2264
Skewness0.60554746
Sum5353630
Variance6600236.9
MonotonicityNot monotonic
2023-12-11T06:32:53.181127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10449 10
 
1.2%
10881 9
 
1.1%
10401 9
 
1.1%
10090 8
 
1.0%
10364 6
 
0.7%
10113 6
 
0.7%
13449 5
 
0.6%
10403 5
 
0.6%
10402 5
 
0.6%
10393 5
 
0.6%
Other values (294) 347
43.2%
(Missing) 388
48.3%
ValueCountFrequency (%)
10026 1
 
0.1%
10043 1
 
0.1%
10049 1
 
0.1%
10074 1
 
0.1%
10076 1
 
0.1%
10082 2
 
0.2%
10086 1
 
0.1%
10089 1
 
0.1%
10090 8
1.0%
10091 1
 
0.1%
ValueCountFrequency (%)
18595 1
 
0.1%
18545 1
 
0.1%
18502 1
 
0.1%
18471 2
0.2%
18469 3
0.4%
18468 1
 
0.1%
18466 1
 
0.1%
18399 1
 
0.1%
18394 1
 
0.1%
18331 1
 
0.1%

전화번호
Text

MISSING 

Distinct148
Distinct (%)98.7%
Missing653
Missing (%)81.3%
Memory size6.4 KiB
2023-12-11T06:32:53.482736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length11.36
Min length7

Characters and Unicode

Total characters1704
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique146 ?
Unique (%)97.3%

Sample

1st row0315812814
2nd row031-580-2814
3rd row1566-4026
4th row031-914-0808
5th row070-7537-1710
ValueCountFrequency (%)
031 7
 
4.1%
070 4
 
2.3%
032 3
 
1.8%
031-466-4981 2
 
1.2%
031-278-1225 2
 
1.2%
02 2
 
1.2%
031-405-5330 1
 
0.6%
02-5650956 1
 
0.6%
0314875759 1
 
0.6%
0315812814 1
 
0.6%
Other values (147) 147
86.0%
2023-12-11T06:32:53.836806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 285
16.7%
1 193
11.3%
3 189
11.1%
- 173
10.2%
2 149
8.7%
7 128
7.5%
8 121
7.1%
9 115
6.7%
5 113
 
6.6%
4 110
 
6.5%
Other values (2) 128
7.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1509
88.6%
Dash Punctuation 173
 
10.2%
Space Separator 22
 
1.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 285
18.9%
1 193
12.8%
3 189
12.5%
2 149
9.9%
7 128
8.5%
8 121
8.0%
9 115
7.6%
5 113
 
7.5%
4 110
 
7.3%
6 106
 
7.0%
Dash Punctuation
ValueCountFrequency (%)
- 173
100.0%
Space Separator
ValueCountFrequency (%)
22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1704
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 285
16.7%
1 193
11.3%
3 189
11.1%
- 173
10.2%
2 149
8.7%
7 128
7.5%
8 121
7.1%
9 115
6.7%
5 113
 
6.6%
4 110
 
6.5%
Other values (2) 128
7.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1704
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 285
16.7%
1 193
11.3%
3 189
11.1%
- 173
10.2%
2 149
8.7%
7 128
7.5%
8 121
7.1%
9 115
6.7%
5 113
 
6.6%
4 110
 
6.5%
Other values (2) 128
7.5%

WGS84위도
Real number (ℝ)

MISSING 

Distinct351
Distinct (%)92.9%
Missing425
Missing (%)52.9%
Infinite0
Infinite (%)0.0%
Mean37.510713
Minimum36.989027
Maximum37.868027
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.2 KiB
2023-12-11T06:32:53.979045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.989027
5-th percentile37.250518
Q137.365316
median37.543196
Q337.659628
95-th percentile37.729524
Maximum37.868027
Range0.879
Interquartile range (IQR)0.29431191

Descriptive statistics

Standard deviation0.17165103
Coefficient of variation (CV)0.0045760534
Kurtosis-0.89231029
Mean37.510713
Median Absolute Deviation (MAD)0.14057371
Skewness-0.33101543
Sum14179.05
Variance0.029464075
MonotonicityNot monotonic
2023-12-11T06:32:54.135942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.6604945 5
 
0.6%
37.3680847 3
 
0.4%
37.7292565 3
 
0.4%
37.6378369233 3
 
0.4%
37.4950073 2
 
0.2%
37.5915039 2
 
0.2%
37.6628765 2
 
0.2%
37.6412471573 2
 
0.2%
37.6058660359 2
 
0.2%
37.6608223 2
 
0.2%
Other values (341) 352
43.8%
(Missing) 425
52.9%
ValueCountFrequency (%)
36.9890272214 1
0.1%
37.012023 1
0.1%
37.078174 1
0.1%
37.0792014 1
0.1%
37.1276092408 1
0.1%
37.1670293 1
0.1%
37.1865834519 1
0.1%
37.207913038 1
0.1%
37.2087152359 1
0.1%
37.211772223 1
0.1%
ValueCountFrequency (%)
37.8680272199 1
0.1%
37.8586358 1
0.1%
37.8471797169 1
0.1%
37.8375545995 1
0.1%
37.7847792 1
0.1%
37.7835779171 1
0.1%
37.7661167 1
0.1%
37.7511327356 1
0.1%
37.7477348 1
0.1%
37.7461179934 1
0.1%

WGS84경도
Real number (ℝ)

MISSING 

Distinct351
Distinct (%)92.9%
Missing425
Missing (%)52.9%
Infinite0
Infinite (%)0.0%
Mean126.93705
Minimum126.54859
Maximum127.50006
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.2 KiB
2023-12-11T06:32:54.309728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.54859
5-th percentile126.68795
Q1126.76934
median126.88425
Q3127.10793
95-th percentile127.23003
Maximum127.50006
Range0.95146802
Interquartile range (IQR)0.33859012

Descriptive statistics

Standard deviation0.19195363
Coefficient of variation (CV)0.0015121954
Kurtosis-0.69784531
Mean126.93705
Median Absolute Deviation (MAD)0.15520033
Skewness0.45228772
Sum47982.205
Variance0.036846196
MonotonicityNot monotonic
2023-12-11T06:32:54.479909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.7552085 5
 
0.6%
127.1071581 3
 
0.4%
126.6909341 3
 
0.4%
126.6808507018 3
 
0.4%
126.7574183 2
 
0.2%
126.8555971 2
 
0.2%
126.7656274 2
 
0.2%
126.6839189301 2
 
0.2%
126.7111445606 2
 
0.2%
126.7656566 2
 
0.2%
Other values (341) 352
43.8%
(Missing) 425
52.9%
ValueCountFrequency (%)
126.548589567 1
 
0.1%
126.5817021 1
 
0.1%
126.662304 1
 
0.1%
126.663919 1
 
0.1%
126.6667204918 1
 
0.1%
126.6763695077 1
 
0.1%
126.6799880257 1
 
0.1%
126.6808507018 3
0.4%
126.6819507496 1
 
0.1%
126.6830516622 2
0.2%
ValueCountFrequency (%)
127.5000575854 1
0.1%
127.4969626943 1
0.1%
127.4838721043 1
0.1%
127.4738975 1
0.1%
127.4051603256 1
0.1%
127.3904104565 1
0.1%
127.3791859 1
0.1%
127.3782513 1
0.1%
127.353502 1
0.1%
127.3408943658 1
0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing803
Missing (%)100.0%
Memory size7.2 KiB

폐업일자
Date

MISSING 

Distinct175
Distinct (%)93.1%
Missing615
Missing (%)76.6%
Memory size6.4 KiB
Minimum2015-08-21 00:00:00
Maximum2023-11-28 00:00:00
2023-12-11T06:32:54.640759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:32:54.789431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Date

MISSING 

Distinct9
Distinct (%)90.0%
Missing793
Missing (%)98.8%
Memory size6.4 KiB
Minimum2016-01-15 00:00:00
Maximum2023-05-16 00:00:00
2023-12-11T06:32:54.895059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:32:54.988070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)

휴업종료일자
Date

MISSING 

Distinct9
Distinct (%)90.0%
Missing793
Missing (%)98.8%
Memory size6.4 KiB
Minimum2016-12-31 00:00:00
Maximum2028-05-15 00:00:00
2023-12-11T06:32:55.074432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:32:55.171814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing803
Missing (%)100.0%
Memory size7.2 KiB

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing803
Missing (%)100.0%
Memory size7.2 KiB

X좌표값
Real number (ℝ)

MISSING 

Distinct671
Distinct (%)86.7%
Missing29
Missing (%)3.6%
Infinite0
Infinite (%)0.0%
Mean196209.21
Minimum160108.58
Maximum256426.88
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.2 KiB
2023-12-11T06:32:55.309397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum160108.58
5-th percentile172664.2
Q1179921.52
median195743.98
Q3210059.92
95-th percentile221242.78
Maximum256426.88
Range96318.296
Interquartile range (IQR)30138.402

Descriptive statistics

Standard deviation17337.678
Coefficient of variation (CV)0.08836322
Kurtosis-0.56487767
Mean196209.21
Median Absolute Deviation (MAD)15061.781
Skewness0.35128505
Sum1.5186593 × 108
Variance3.0059507 × 108
MonotonicityNot monotonic
2023-12-11T06:32:55.529197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
178336.60825491 7
 
0.9%
179708.826286267 5
 
0.6%
181199.730502486 5
 
0.6%
179935.267998763 4
 
0.5%
177924.792392199 4
 
0.5%
179703.277546761 4
 
0.5%
171765.774820797 3
 
0.4%
179443.811344262 3
 
0.4%
208772.884035929 3
 
0.4%
181513.386908375 3
 
0.4%
Other values (661) 733
91.3%
(Missing) 29
 
3.6%
ValueCountFrequency (%)
160108.581490863 1
0.1%
161392.484974452 1
0.1%
163019.069872825 1
0.1%
164466.752054693 1
0.1%
166214.893825482 1
0.1%
166256.323884613 1
0.1%
166858.922317438 1
0.1%
166977.627189575 1
0.1%
167427.131721075 1
0.1%
167969.812076647 1
0.1%
ValueCountFrequency (%)
256426.877520699 1
0.1%
256325.663325983 1
0.1%
244706.621492376 1
0.1%
244440.815595766 1
0.1%
244120.49436853 1
0.1%
243676.892510052 1
0.1%
243473.145174832 1
0.1%
243402.991282437 1
0.1%
242722.741031761 1
0.1%
241887.131439023 1
0.1%

Y좌표값
Real number (ℝ)

MISSING 

Distinct671
Distinct (%)86.7%
Missing29
Missing (%)3.6%
Infinite0
Infinite (%)0.0%
Mean445277.47
Minimum384648.22
Maximum488449.79
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.2 KiB
2023-12-11T06:32:55.707682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum384648.22
5-th percentile413614.59
Q1429369.72
median450033.39
Q3461950.58
95-th percentile469783.89
Maximum488449.79
Range103801.57
Interquartile range (IQR)32580.856

Descriptive statistics

Standard deviation19746.476
Coefficient of variation (CV)0.044346451
Kurtosis-0.77231697
Mean445277.47
Median Absolute Deviation (MAD)16294.762
Skewness-0.36022539
Sum3.4464477 × 108
Variance3.899233 × 108
MonotonicityNot monotonic
2023-12-11T06:32:55.911883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
462048.385371714 7
 
0.9%
461404.803949418 5
 
0.6%
459483.063667204 5
 
0.6%
461800.124782342 4
 
0.5%
462674.148708703 4
 
0.5%
461593.64421342 4
 
0.5%
459548.190626633 3
 
0.4%
461950.576063425 3
 
0.4%
434630.824232922 3
 
0.4%
459735.16811498 3
 
0.4%
Other values (661) 733
91.3%
(Missing) 29
 
3.6%
ValueCountFrequency (%)
384648.217655193 1
0.1%
385034.921116811 1
0.1%
387495.069325433 1
0.1%
387727.63011127 1
0.1%
388621.580123975 1
0.1%
390155.0 1
0.1%
395194.687151155 1
0.1%
397393.01343303 1
0.1%
397507.63872379 1
0.1%
401470.117701211 1
0.1%
ValueCountFrequency (%)
488449.792074521 1
0.1%
487874.234010118 1
0.1%
487515.546541466 1
0.1%
485060.997228785 1
0.1%
484029.787927198 1
0.1%
482857.819060501 1
0.1%
482327.555840368 1
0.1%
481770.338449742 1
0.1%
481768.243384218 1
0.1%
481657.189053574 1
0.1%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
대중문화예술기획업
803 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
대중문화예술기획업 803
100.0%

Length

2023-12-11T06:32:56.054482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:32:56.183295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대중문화예술기획업 803
100.0%

문화사업자구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
유통관련업
803 

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 803
100.0%

Length

2023-12-11T06:32:56.299797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:32:56.400928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 803
100.0%

지역구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing803
Missing (%)100.0%
Memory size7.2 KiB

총층수
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
<NA>
417 
0
386 

Length

Max length4
Median length4
Mean length2.5579078
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 417
51.9%
0 386
48.1%

Length

2023-12-11T06:32:56.505027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:32:56.635824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 417
51.9%
0 386
48.1%

주변환경명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing803
Missing (%)100.0%
Memory size7.2 KiB
Distinct487
Distinct (%)60.6%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
2023-12-11T06:32:56.920636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length88
Median length53
Mean length12.206725
Min length2

Characters and Unicode

Total characters9802
Distinct characters237
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique423 ?
Unique (%)52.7%

Sample

1st row공연기획,음반 영상물 제작, 광고물 제작
2nd row공연기획, 행사 대행업
3rd row연예 기획
4th row공연기획업, 배우,탤런트 등
5th row영화제작 등
ValueCountFrequency (%)
매니지먼트 149
 
8.4%
엔터테인먼트 126
 
7.1%
101
 
5.7%
84
 
4.7%
연예매니지먼트 76
 
4.3%
공연기획 67
 
3.8%
제작 48
 
2.7%
음반제작 46
 
2.6%
매니저업 40
 
2.2%
공연 29
 
1.6%
Other values (481) 1018
57.1%
2023-12-11T06:32:57.404406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
981
 
10.0%
, 630
 
6.4%
523
 
5.3%
487
 
5.0%
446
 
4.6%
381
 
3.9%
375
 
3.8%
329
 
3.4%
301
 
3.1%
288
 
2.9%
Other values (227) 5061
51.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8116
82.8%
Space Separator 981
 
10.0%
Other Punctuation 659
 
6.7%
Open Punctuation 14
 
0.1%
Close Punctuation 14
 
0.1%
Uppercase Letter 13
 
0.1%
Lowercase Letter 3
 
< 0.1%
Decimal Number 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
523
 
6.4%
487
 
6.0%
446
 
5.5%
381
 
4.7%
375
 
4.6%
329
 
4.1%
301
 
3.7%
288
 
3.5%
270
 
3.3%
269
 
3.3%
Other values (212) 4447
54.8%
Other Punctuation
ValueCountFrequency (%)
, 630
95.6%
/ 19
 
2.9%
· 7
 
1.1%
. 3
 
0.5%
Uppercase Letter
ValueCountFrequency (%)
C 6
46.2%
M 4
30.8%
D 2
 
15.4%
N 1
 
7.7%
Lowercase Letter
ValueCountFrequency (%)
o 1
33.3%
s 1
33.3%
t 1
33.3%
Space Separator
ValueCountFrequency (%)
981
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Decimal Number
ValueCountFrequency (%)
1 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8116
82.8%
Common 1670
 
17.0%
Latin 16
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
523
 
6.4%
487
 
6.0%
446
 
5.5%
381
 
4.7%
375
 
4.6%
329
 
4.1%
301
 
3.7%
288
 
3.5%
270
 
3.3%
269
 
3.3%
Other values (212) 4447
54.8%
Common
ValueCountFrequency (%)
981
58.7%
, 630
37.7%
/ 19
 
1.1%
( 14
 
0.8%
) 14
 
0.8%
· 7
 
0.4%
. 3
 
0.2%
1 2
 
0.1%
Latin
ValueCountFrequency (%)
C 6
37.5%
M 4
25.0%
D 2
 
12.5%
o 1
 
6.2%
s 1
 
6.2%
t 1
 
6.2%
N 1
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8116
82.8%
ASCII 1679
 
17.1%
None 7
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
981
58.4%
, 630
37.5%
/ 19
 
1.1%
( 14
 
0.8%
) 14
 
0.8%
C 6
 
0.4%
M 4
 
0.2%
. 3
 
0.2%
D 2
 
0.1%
1 2
 
0.1%
Other values (4) 4
 
0.2%
Hangul
ValueCountFrequency (%)
523
 
6.4%
487
 
6.0%
446
 
5.5%
381
 
4.7%
375
 
4.6%
329
 
4.1%
301
 
3.7%
288
 
3.5%
270
 
3.3%
269
 
3.3%
Other values (212) 4447
54.8%
None
ValueCountFrequency (%)
· 7
100.0%

보험기관명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing803
Missing (%)100.0%
Memory size7.2 KiB

건물용도명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing803
Missing (%)100.0%
Memory size7.2 KiB

지상층수
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
<NA>
417 
0
386 

Length

Max length4
Median length4
Mean length2.5579078
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 417
51.9%
0 386
48.1%

Length

2023-12-11T06:32:57.580954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:32:57.716977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 417
51.9%
0 386
48.1%

지하층수
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
<NA>
417 
0
386 

Length

Max length4
Median length4
Mean length2.5579078
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 417
51.9%
0 386
48.1%

Length

2023-12-11T06:32:57.879672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:32:58.000499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 417
51.9%
0 386
48.1%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct236
Distinct (%)43.8%
Missing264
Missing (%)32.9%
Infinite0
Infinite (%)0.0%
Mean61.403599
Minimum0
Maximum3074.29
Zeros256
Zeros (%)31.9%
Negative0
Negative (%)0.0%
Memory size7.2 KiB
2023-12-11T06:32:58.148005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median6.6
Q369.59
95-th percentile199.856
Maximum3074.29
Range3074.29
Interquartile range (IQR)69.59

Descriptive statistics

Standard deviation181.19081
Coefficient of variation (CV)2.9508174
Kurtosis158.0881
Mean61.403599
Median Absolute Deviation (MAD)6.6
Skewness10.849107
Sum33096.54
Variance32830.109
MonotonicityNot monotonic
2023-12-11T06:32:58.318160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 256
31.9%
66.0 7
 
0.9%
3.3 6
 
0.7%
15.0 5
 
0.6%
21.0 4
 
0.5%
60.0 4
 
0.5%
33.0 3
 
0.4%
10.0 3
 
0.4%
47.25 2
 
0.2%
163.0 2
 
0.2%
Other values (226) 247
30.8%
(Missing) 264
32.9%
ValueCountFrequency (%)
0.0 256
31.9%
1.1 1
 
0.1%
1.2 1
 
0.1%
2.0 2
 
0.2%
3.2 1
 
0.1%
3.3 6
 
0.7%
3.63 1
 
0.1%
4.0 1
 
0.1%
6.6 1
 
0.1%
7.0 1
 
0.1%
ValueCountFrequency (%)
3074.29 1
0.1%
1774.52 1
0.1%
829.5 1
0.1%
792.0 1
0.1%
707.0 1
0.1%
684.6 1
0.1%
666.6 1
0.1%
593.0 1
0.1%
522.55 1
0.1%
500.0 1
0.1%

통로너비
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
<NA>
418 
0
385 

Length

Max length4
Median length4
Mean length2.5616438
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 418
52.1%
0 385
47.9%

Length

2023-12-11T06:32:58.484442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:32:58.629811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 418
52.1%
0 385
47.9%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
<NA>
418 
0
385 

Length

Max length4
Median length4
Mean length2.5616438
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 418
52.1%
0 385
47.9%

Length

2023-12-11T06:32:58.775431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:32:58.903023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 418
52.1%
0 385
47.9%

노래방실수
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
<NA>
418 
0
385 

Length

Max length4
Median length4
Mean length2.5616438
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 418
52.1%
0 385
47.9%

Length

2023-12-11T06:32:59.039718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:32:59.177289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 418
52.1%
0 385
47.9%

청소년실수
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
<NA>
418 
0
385 

Length

Max length4
Median length4
Mean length2.5616438
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 418
52.1%
0 385
47.9%

Length

2023-12-11T06:32:59.341286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:32:59.791602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 418
52.1%
0 385
47.9%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing803
Missing (%)100.0%
Memory size7.2 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing803
Missing (%)100.0%
Memory size7.2 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing803
Missing (%)100.0%
Memory size7.2 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing803
Missing (%)100.0%
Memory size7.2 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing803
Missing (%)100.0%
Memory size7.2 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing803
Missing (%)100.0%
Memory size7.2 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing803
Missing (%)100.0%
Memory size7.2 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing803
Missing (%)100.0%
Memory size7.2 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing803
Missing (%)100.0%
Memory size7.2 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing803
Missing (%)100.0%
Memory size7.2 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing803
Missing (%)100.0%
Memory size7.2 KiB

총게임기수
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
<NA>
418 
0
385 

Length

Max length4
Median length4
Mean length2.5616438
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 418
52.1%
0 385
47.9%

Length

2023-12-11T06:32:59.911369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:33:00.042668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 418
52.1%
0 385
47.9%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing803
Missing (%)100.0%
Memory size7.2 KiB

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing803
Missing (%)100.0%
Memory size7.2 KiB

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing803
Missing (%)100.0%
Memory size7.2 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing803
Missing (%)100.0%
Memory size7.2 KiB

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing803
Missing (%)100.0%
Memory size7.2 KiB

Sample

시군명사업장명영업상태인허가일자도로명주소지번주소우편번호전화번호WGS84위도WGS84경도인허가취소일자폐업일자휴업시작일자휴업종료일자재개업일자소재지면적X좌표값Y좌표값문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수시설면적통로너비조명시설조도량노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점
0가평군(주)허브뮤직전출20150522경기도 가평군 가평읍 아랫마장길 **-**경기도 가평군 가평읍 마장리 ***-*번지12409031581281437.84718127.496963<NA>20190812<NA><NA><NA><NA>243676.89251482857.819061대중문화예술기획업유통관련업<NA><NA><NA>공연기획,음반 영상물 제작, 광고물 제작<NA><NA><NA><NA>134.16<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1가평군사단법인 자라섬청소년재즈센터영업중2023-11-15경기도 가평군 가평읍 가화로 ***, ***호경기도 가평군 가평읍 읍내리 ***-* ***호<NA>031-580-2814<NA><NA><NA><NA><NA><NA><NA><NA>244706.621492481770.33845대중문화예술기획업유통관련업<NA>0<NA>공연기획, 행사 대행업<NA><NA>0085.00000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA>
2가평군좋은배우 엔터테인먼트(주)전출20170928경기도 가평군 상면 임초밤안골로 ***-*경기도 가평군 상면 임초리 ***-*<NA><NA><NA><NA><NA>20210914<NA><NA><NA><NA>232630.227261472736.24081대중문화예술기획업유통관련업<NA>0<NA>연예 기획<NA><NA>0015.750000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA>
3가평군지네이션이엔엠영업중2022-11-28경기도 가평군 가평읍 석봉로*번길 **, ***호경기도 가평군 가평읍 대곡리 ***-* ***호<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>244440.815596479840.229796대중문화예술기획업유통관련업<NA>0<NA>공연기획업, 배우,탤런트 등<NA><NA>000.00000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA>
4고양시(주) 더 행복한 사람들영업중20201012경기도 고양시 일산동구 정발산로***번길 *-**, 지층 (마두동)경기도 고양시 일산동구 마두동 ***-*10412<NA>37.663391126.787986<NA><NA><NA><NA><NA><NA>181225.295356462353.908153대중문화예술기획업유통관련업<NA><NA><NA>영화제작 등<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>
5고양시(주) 죠이커뮤니케이션영업중20180314경기도 고양시 일산동구 정발산로 **, 웨스턴돔* *-***호 (장항동)경기도 고양시 일산동구 장항동 ***번지 웨스턴돔*10403<NA>37.654682126.7726<NA><NA><NA><NA><NA><NA>179867.687197461402.02302대중문화예술기획업유통관련업<NA><NA><NA>음반기획, 공연기획, 행사대행업, 매니지먼트업, 방송제작<NA><NA><NA><NA>30.17<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
6고양시(주) 쿤 엔터테인먼트영업중20180704경기도 고양시 일산동구 호수로 ***-**, 동문타워II ***호 (백석동)경기도 고양시 일산동구 백석동 ****번지 동문타워II104491566-402637.639941126.785958<NA><NA><NA><NA><NA><NA>181044.663767459762.271864대중문화예술기획업유통관련업<NA><NA><NA>공연기획<NA><NA><NA><NA>73.12<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
7고양시(주)비오엠엑터스영업중20150420경기도 고양시 일산서구 강성로***번길 *-**, *층 (대화동)경기도 고양시 일산서구 대화동 ****-*번지10377<NA>37.675651126.752188<NA><NA><NA><NA><NA><NA>188725.503891458780.334579대중문화예술기획업유통관련업<NA><NA><NA>연예기획<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>
8고양시(주)엠에이엔터테인먼트전출2017-04-20경기도 고양시 일산동구 연리지로 **, ***호 (장항동, 힐스테이트 킨텍스 레이크뷰)경기도 고양시 일산동구 장항동 **** 힐스테이트 킨텍스 레이크뷰<NA><NA><NA><NA><NA>2023-04-05<NA><NA><NA><NA>178531.937913462015.421463대중문화예술기획업유통관련업<NA>0<NA>연예인공연서비스업, 연예인매니저업<NA><NA>000.00000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA>
9고양시(주)오아시스 엔터테인먼트영업중2018-11-01경기도 고양시 덕양구 으뜸로 ***, 위프라임트윈타워 *층 ***호 (덕은동)경기도 고양시 덕양구 덕은동 * 위프라임트윈타워10544<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>대중문화예술기획업유통관련업<NA>0<NA>엔터테인먼트<NA><NA>003.30000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA>
시군명사업장명영업상태인허가일자도로명주소지번주소우편번호전화번호WGS84위도WGS84경도인허가취소일자폐업일자휴업시작일자휴업종료일자재개업일자소재지면적X좌표값Y좌표값문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수시설면적통로너비조명시설조도량노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점
793화성시와이케이 미디어랩영업중20200115경기도 화성시 화산중앙로 **, ***동 ***호 (송산동, 한승미메이드아파트)경기도 화성시 송산동 *** 한승미메이드아파트<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>201181.765347411786.344943대중문화예술기획업유통관련업<NA><NA><NA>연예사업,영상제작,행사기획 및 연출<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>
794화성시유한회사 제이티영업중2023-08-10경기도 화성시 향남읍 상신하길로***번길 *-**, ***호경기도 화성시 향남읍 하길리 ****-* ***호<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>192182.748166401470.117701대중문화예술기획업유통관련업<NA>0<NA>연예인 대리<NA><NA>00100.620000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA>
795화성시주식회사 겟올라잇엔터테인먼트영업중20191025경기도 화성시 동탄대로 ***, ***호 (영천동)경기도 화성시 영천동 산 **-* ***호18469070-8245-9752<NA><NA><NA><NA><NA><NA><NA><NA>208636.499065412106.969151대중문화예술기획업유통관련업<NA>0<NA>엔터테인먼트업, 공연기획 및 배급 등<NA><NA>000.00000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA>
796화성시주식회사 이티앤엔터테인먼트전출20170719경기도 화성시 봉담읍 삼천병마로 ****, *층 (장안대학교 자아실현관)경기도 화성시 봉담읍 상리 ***-**18331070 5024262437.211772126.948084<NA>20180607<NA><NA><NA><NA>195006.831363412363.797144대중문화예술기획업유통관련업<NA><NA><NA>공연기획,이벤트사업,매니지먼트,광고<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>
797화성시주식회사부호컴퍼니영업중20170613경기도 화성시 송산면 송산서로 **-**경기도 화성시 송산면 마산리 ***18545<NA>37.228082126.699316<NA><NA><NA><NA><NA><NA>194028.371988428538.874931대중문화예술기획업유통관련업<NA><NA><NA>매니지먼트, 음향, 음반제작유통, 영상음반, 방송영상물<NA><NA><NA><NA>21.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
798화성시카일샵영업중20210705경기도 화성시 동탄대로 ***-*, B동 ***호 (영천동)경기도 화성시 영천동 산 **-*18469<NA><NA><NA><NA><NA><NA><NA><NA><NA>208773.206279412073.493287대중문화예술기획업유통관련업<NA><NA><NA>공연기획, 매니지먼트, 음반기획, 영상콘텐츠 제작<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>
799화성시크로스엔컴퍼니영업중20220622경기도 화성시 동탄순환대로**길 **, ****동 ***호 (산척동, 그린힐 반도유보라 아이비파크 **)경기도 화성시 산척동 *** 그린힐 반도유보라 아이비파크 **18502<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>대중문화예술기획업유통관련업<NA>0<NA>공연기획<NA><NA>000.00000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA>
800화성시태을 엔터테인먼트(Taeeul Entertainment)영업중2023-02-16경기도 화성시 동탄대로 ***-*, C동 B***호 (영천동)경기도 화성시 영천동 ***-*<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>208773.2085412073.497775대중문화예술기획업유통관련업<NA>0<NA>음반기획<NA><NA>008.00000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA>
801화성시화타이모비스주식회사전출2017-06-13경기도 화성시 안녕북길 **-**, 대영*차 씨동 지*층 ***호 (안녕동)경기도 화성시 안녕동 ***-***<NA><NA><NA><NA><NA>2023-03-10<NA><NA><NA><NA>198163.603748412284.486744대중문화예술기획업유통관련업<NA>0<NA>매니지먼트, 음향, 음반제작유통, 영상음반, 방송영상물<NA><NA>0021.00000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA>
802<NA>주식회사 풍엔터테인먼트영업중2015-11-06서울특별시 마포구 월드컵로*길 **, ***동 ****호 (합정동, 마포 한강 *차 푸르지오)서울특별시 마포구 합정동 *** 마포 한강 *차 푸르지오<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>192142.271363449868.964586대중문화예술기획업유통관련업<NA>0<NA>엔터테인먼트업<NA><NA>000.00000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA>