Overview

Dataset statistics

Number of variables47
Number of observations740
Missing cells18051
Missing cells (%)51.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory295.7 KiB
Average record size in memory409.2 B

Variable types

Categorical9
Text6
DateTime2
Numeric12
Unsupported18

Dataset

Description복합유통게임제공업_인허가
Author행정안전부
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=0HF8GB0V5BQYEB5NZMJ827802751&infSeq=1

Alerts

주변환경명 is highly imbalanced (65.8%)Imbalance
건물용도명 is highly imbalanced (67.6%)Imbalance
지역구분명 is highly imbalanced (56.4%)Imbalance
전화번호 has 637 (86.1%) missing valuesMissing
인허가취소일자 has 730 (98.6%) missing valuesMissing
폐업일자 has 345 (46.6%) missing valuesMissing
휴업시작일자 has 740 (100.0%) missing valuesMissing
휴업종료일자 has 740 (100.0%) missing valuesMissing
재개업일자 has 740 (100.0%) missing valuesMissing
소재지면적 has 740 (100.0%) missing valuesMissing
X좌표값 has 25 (3.4%) missing valuesMissing
Y좌표값 has 25 (3.4%) missing valuesMissing
총층수 has 391 (52.8%) missing valuesMissing
제작취급품목내용 has 231 (31.2%) missing valuesMissing
시설면적 has 21 (2.8%) missing valuesMissing
지상층수 has 356 (48.1%) missing valuesMissing
지하층수 has 432 (58.4%) missing valuesMissing
조명시설조도 has 529 (71.5%) missing valuesMissing
비상계단여부 has 740 (100.0%) missing valuesMissing
비상구여부 has 740 (100.0%) missing valuesMissing
자동환기여부 has 740 (100.0%) missing valuesMissing
청소년실여부 has 740 (100.0%) missing valuesMissing
특수조명여부 has 740 (100.0%) missing valuesMissing
방음시설여부 has 740 (100.0%) missing valuesMissing
비디오재생기명 has 740 (100.0%) missing valuesMissing
조명시설유무 has 740 (100.0%) missing valuesMissing
음향시설여부 has 740 (100.0%) missing valuesMissing
편의시설여부 has 740 (100.0%) missing valuesMissing
소방시설여부 has 740 (100.0%) missing valuesMissing
총게임기수 has 414 (55.9%) missing valuesMissing
기존게임업외업종명 has 588 (79.5%) missing valuesMissing
공연장형태구분명 has 740 (100.0%) missing valuesMissing
품목명 has 740 (100.0%) missing valuesMissing
최초등록시점 has 740 (100.0%) missing valuesMissing
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 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
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
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
총층수 has 147 (19.9%) zerosZeros
시설면적 has 12 (1.6%) zerosZeros
지상층수 has 136 (18.4%) zerosZeros
지하층수 has 154 (20.8%) zerosZeros
조명시설조도 has 171 (23.1%) zerosZeros
총게임기수 has 111 (15.0%) zerosZeros

Reproduction

Analysis started2023-12-10 21:49:06.042680
Analysis finished2023-12-10 21:49:07.132559
Duration1.09 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

Distinct29
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
안양시
65 
부천시
63 
수원시
61 
성남시
51 
안산시
48 
Other values (24)
452 

Length

Max length4
Median length3
Mean length3.1175676
Min length3

Unique

Unique2 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
안양시 65
 
8.8%
부천시 63
 
8.5%
수원시 61
 
8.2%
성남시 51
 
6.9%
안산시 48
 
6.5%
화성시 48
 
6.5%
의정부시 43
 
5.8%
고양시 40
 
5.4%
광명시 40
 
5.4%
남양주시 37
 
5.0%
Other values (19) 244
33.0%

Length

2023-12-11T06:49:07.195913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
안양시 65
 
8.8%
부천시 63
 
8.5%
수원시 61
 
8.2%
성남시 51
 
6.9%
안산시 48
 
6.5%
화성시 48
 
6.5%
의정부시 43
 
5.8%
고양시 40
 
5.4%
광명시 40
 
5.4%
남양주시 37
 
5.0%
Other values (19) 244
33.0%

사업장명
Text

Distinct699
Distinct (%)94.5%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
2023-12-11T06:49:07.445097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length19
Mean length8.4527027
Min length2

Characters and Unicode

Total characters6255
Distinct characters462
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique671 ?
Unique (%)90.7%

Sample

1st rowACDC2 PC방
2nd rowM PLAY멀티방
3rd rowPC CAFE
4th rowTJ GAME PARK
5th rowVR SQUARE 일산웨스턴돔점
ValueCountFrequency (%)
pc 62
 
5.2%
pc방 42
 
3.6%
멀티방 19
 
1.6%
cafe 16
 
1.4%
3pop 10
 
0.8%
zone 10
 
0.8%
아이센스리그pc방 8
 
0.7%
라이또pc 8
 
0.7%
오락실 8
 
0.7%
스마일멀티방 7
 
0.6%
Other values (823) 993
83.9%
2023-12-11T06:49:07.876894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
444
 
7.1%
P 424
 
6.8%
C 413
 
6.6%
방 260
 
4.2%
스 223
 
3.6%
점 215
 
3.4%
이 156
 
2.5%
리 83
 
1.3%
티 79
 
1.3%
플 72
 
1.2%
Other values (452) 3886
62.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4125
65.9%
Uppercase Letter 1290
 
20.6%
Space Separator 444
 
7.1%
Lowercase Letter 182
 
2.9%
Open Punctuation 66
 
1.1%
Close Punctuation 66
 
1.1%
Decimal Number 58
 
0.9%
Dash Punctuation 11
 
0.2%
Other Punctuation 10
 
0.2%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
방 260
 
6.3%
스 223
 
5.4%
점 215
 
5.2%
이 156
 
3.8%
리 83
 
2.0%
티 79
 
1.9%
플 72
 
1.7%
아 72
 
1.7%
멀 71
 
1.7%
드 69
 
1.7%
Other values (385) 2825
68.5%
Uppercase Letter
ValueCountFrequency (%)
P 424
32.9%
C 413
32.0%
E 47
 
3.6%
O 46
 
3.6%
A 44
 
3.4%
R 44
 
3.4%
M 26
 
2.0%
S 25
 
1.9%
T 23
 
1.8%
V 23
 
1.8%
Other values (16) 175
13.6%
Lowercase Letter
ValueCountFrequency (%)
e 25
13.7%
a 24
13.2%
c 19
10.4%
p 16
8.8%
o 14
 
7.7%
n 13
 
7.1%
f 11
 
6.0%
i 9
 
4.9%
l 8
 
4.4%
m 8
 
4.4%
Other values (12) 35
19.2%
Decimal Number
ValueCountFrequency (%)
2 17
29.3%
3 14
24.1%
1 12
20.7%
0 8
13.8%
7 3
 
5.2%
5 2
 
3.4%
6 1
 
1.7%
4 1
 
1.7%
Other Punctuation
ValueCountFrequency (%)
& 4
40.0%
% 2
20.0%
. 2
20.0%
' 1
 
10.0%
# 1
 
10.0%
Math Symbol
ValueCountFrequency (%)
+ 2
66.7%
= 1
33.3%
Space Separator
ValueCountFrequency (%)
444
100.0%
Open Punctuation
ValueCountFrequency (%)
( 66
100.0%
Close Punctuation
ValueCountFrequency (%)
) 66
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4125
65.9%
Latin 1472
 
23.5%
Common 658
 
10.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
방 260
 
6.3%
스 223
 
5.4%
점 215
 
5.2%
이 156
 
3.8%
리 83
 
2.0%
티 79
 
1.9%
플 72
 
1.7%
아 72
 
1.7%
멀 71
 
1.7%
드 69
 
1.7%
Other values (385) 2825
68.5%
Latin
ValueCountFrequency (%)
P 424
28.8%
C 413
28.1%
E 47
 
3.2%
O 46
 
3.1%
A 44
 
3.0%
R 44
 
3.0%
M 26
 
1.8%
S 25
 
1.7%
e 25
 
1.7%
a 24
 
1.6%
Other values (38) 354
24.0%
Common
ValueCountFrequency (%)
444
67.5%
( 66
 
10.0%
) 66
 
10.0%
2 17
 
2.6%
3 14
 
2.1%
1 12
 
1.8%
- 11
 
1.7%
0 8
 
1.2%
& 4
 
0.6%
7 3
 
0.5%
Other values (9) 13
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4123
65.9%
ASCII 2130
34.1%
Compat Jamo 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
444
20.8%
P 424
19.9%
C 413
19.4%
( 66
 
3.1%
) 66
 
3.1%
E 47
 
2.2%
O 46
 
2.2%
A 44
 
2.1%
R 44
 
2.1%
M 26
 
1.2%
Other values (57) 510
23.9%
Hangul
ValueCountFrequency (%)
방 260
 
6.3%
스 223
 
5.4%
점 215
 
5.2%
이 156
 
3.8%
리 83
 
2.0%
티 79
 
1.9%
플 72
 
1.7%
아 72
 
1.7%
멀 71
 
1.7%
드 69
 
1.7%
Other values (384) 2823
68.5%
Compat Jamo
ValueCountFrequency (%)
ㅋ 2
100.0%

영업상태
Categorical

Distinct5
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
영업중
334 
폐업
332 
직권말소
64 
등록취소
 
8
신고취소
 
2

Length

Max length4
Median length3
Mean length2.6513514
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row폐업
2nd row폐업
3rd row직권말소
4th row폐업
5th row폐업

Common Values

ValueCountFrequency (%)
영업중 334
45.1%
폐업 332
44.9%
직권말소 64
 
8.6%
등록취소 8
 
1.1%
신고취소 2
 
0.3%

Length

2023-12-11T06:49:08.015660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:49:08.130398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 334
45.1%
폐업 332
44.9%
직권말소 64
 
8.6%
등록취소 8
 
1.1%
신고취소 2
 
0.3%

인허가일자
Date

Distinct656
Distinct (%)88.6%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
Minimum1996-06-21 00:00:00
Maximum2023-12-01 00:00:00
2023-12-11T06:49:08.251284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:49:08.400519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

도로명주소
Text

Distinct731
Distinct (%)99.3%
Missing4
Missing (%)0.5%
Memory size5.9 KiB
2023-12-11T06:49:08.694847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length70
Median length53
Mean length33.440217
Min length18

Characters and Unicode

Total characters24612
Distinct characters423
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique726 ?
Unique (%)98.6%

Sample

1st row경기도 고양시 일산서구 일현로 28, 301호 (탄현동, 태창빌딩)
2nd row경기도 고양시 덕양구 화신로260번길 41 (화정동,동성골드프라자305호)
3rd row경기도 고양시 일산동구 중앙로 1047, 205호 (백석동,영림브레아)
4th row경기도 고양시 일산서구 일현로 47, 203,204호 (탄현동, 예일 큰프라자)
5th row경기도 고양시 일산동구 정발산로 24, 웨스턴돔1 A동 301, 302호 (장항동)
ValueCountFrequency (%)
경기도 736
 
14.8%
2층 103
 
2.1%
안양시 65
 
1.3%
부천시 63
 
1.3%
수원시 61
 
1.2%
3층 59
 
1.2%
성남시 51
 
1.0%
화성시 48
 
1.0%
안산시 48
 
1.0%
의정부시 43
 
0.9%
Other values (1623) 3694
74.3%
2023-12-11T06:49:09.124415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4334
 
17.6%
, 892
 
3.6%
1 872
 
3.5%
동 791
 
3.2%
2 774
 
3.1%
시 773
 
3.1%
기 759
 
3.1%
경 757
 
3.1%
도 755
 
3.1%
로 723
 
2.9%
Other values (413) 13182
53.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13287
54.0%
Decimal Number 4452
 
18.1%
Space Separator 4334
 
17.6%
Other Punctuation 899
 
3.7%
Open Punctuation 672
 
2.7%
Close Punctuation 672
 
2.7%
Dash Punctuation 138
 
0.6%
Uppercase Letter 88
 
0.4%
Math Symbol 53
 
0.2%
Lowercase Letter 14
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 791
 
6.0%
시 773
 
5.8%
기 759
 
5.7%
경 757
 
5.7%
도 755
 
5.7%
로 723
 
5.4%
층 420
 
3.2%
호 364
 
2.7%
구 353
 
2.7%
안 312
 
2.3%
Other values (359) 7280
54.8%
Uppercase Letter
ValueCountFrequency (%)
B 29
33.0%
A 9
 
10.2%
G 6
 
6.8%
P 5
 
5.7%
S 5
 
5.7%
C 4
 
4.5%
E 4
 
4.5%
T 3
 
3.4%
O 3
 
3.4%
M 3
 
3.4%
Other values (11) 17
19.3%
Lowercase Letter
ValueCountFrequency (%)
e 4
28.6%
d 1
 
7.1%
c 1
 
7.1%
a 1
 
7.1%
b 1
 
7.1%
s 1
 
7.1%
t 1
 
7.1%
l 1
 
7.1%
o 1
 
7.1%
w 1
 
7.1%
Decimal Number
ValueCountFrequency (%)
1 872
19.6%
2 774
17.4%
0 617
13.9%
3 571
12.8%
4 413
9.3%
5 332
 
7.5%
6 275
 
6.2%
7 205
 
4.6%
8 205
 
4.6%
9 188
 
4.2%
Other Punctuation
ValueCountFrequency (%)
, 892
99.2%
/ 2
 
0.2%
& 2
 
0.2%
· 2
 
0.2%
. 1
 
0.1%
Letter Number
ValueCountFrequency (%)
Ⅱ 2
66.7%
Ⅰ 1
33.3%
Space Separator
ValueCountFrequency (%)
4334
100.0%
Open Punctuation
ValueCountFrequency (%)
( 672
100.0%
Close Punctuation
ValueCountFrequency (%)
) 672
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 138
100.0%
Math Symbol
ValueCountFrequency (%)
~ 53
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 13287
54.0%
Common 11220
45.6%
Latin 105
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 791
 
6.0%
시 773
 
5.8%
기 759
 
5.7%
경 757
 
5.7%
도 755
 
5.7%
로 723
 
5.4%
층 420
 
3.2%
호 364
 
2.7%
구 353
 
2.7%
안 312
 
2.3%
Other values (359) 7280
54.8%
Latin
ValueCountFrequency (%)
B 29
27.6%
A 9
 
8.6%
G 6
 
5.7%
P 5
 
4.8%
S 5
 
4.8%
e 4
 
3.8%
C 4
 
3.8%
E 4
 
3.8%
T 3
 
2.9%
O 3
 
2.9%
Other values (24) 33
31.4%
Common
ValueCountFrequency (%)
4334
38.6%
, 892
 
8.0%
1 872
 
7.8%
2 774
 
6.9%
( 672
 
6.0%
) 672
 
6.0%
0 617
 
5.5%
3 571
 
5.1%
4 413
 
3.7%
5 332
 
3.0%
Other values (10) 1071
 
9.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 13286
54.0%
ASCII 11320
46.0%
Number Forms 3
 
< 0.1%
None 2
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4334
38.3%
, 892
 
7.9%
1 872
 
7.7%
2 774
 
6.8%
( 672
 
5.9%
) 672
 
5.9%
0 617
 
5.5%
3 571
 
5.0%
4 413
 
3.6%
5 332
 
2.9%
Other values (41) 1171
 
10.3%
Hangul
ValueCountFrequency (%)
동 791
 
6.0%
시 773
 
5.8%
기 759
 
5.7%
경 757
 
5.7%
도 755
 
5.7%
로 723
 
5.4%
층 420
 
3.2%
호 364
 
2.7%
구 353
 
2.7%
안 312
 
2.3%
Other values (358) 7279
54.8%
Number Forms
ValueCountFrequency (%)
Ⅱ 2
66.7%
Ⅰ 1
33.3%
None
ValueCountFrequency (%)
· 2
100.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%

지번주소
Text

Distinct729
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
2023-12-11T06:49:09.476712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length61
Median length44
Mean length25.571622
Min length14

Characters and Unicode

Total characters18923
Distinct characters372
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique718 ?
Unique (%)97.0%

Sample

1st row경기도 고양시 일산서구 탄현동 1574-6 태창빌딩 301호
2nd row경기도 고양시 덕양구 화정동 978-2번지 동성골드프라자305호
3rd row경기도 고양시 일산동구 백석동 1331번지 영림브레아 205호
4th row경기도 고양시 일산서구 탄현동 1563-3 예일 큰프라자 203,2호
5th row경기도 고양시 일산동구 장항동 868 웨스턴돔1
ValueCountFrequency (%)
경기도 740
 
18.5%
안양시 65
 
1.6%
부천시 63
 
1.6%
수원시 61
 
1.5%
성남시 51
 
1.3%
2층 50
 
1.2%
화성시 48
 
1.2%
안산시 48
 
1.2%
의정부시 43
 
1.1%
만안구 42
 
1.0%
Other values (1416) 2793
69.8%
2023-12-11T06:49:09.950786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3705
19.6%
1 780
 
4.1%
시 761
 
4.0%
기 760
 
4.0%
도 753
 
4.0%
경 743
 
3.9%
동 737
 
3.9%
- 623
 
3.3%
2 499
 
2.6%
4 442
 
2.3%
Other values (362) 9120
48.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10473
55.3%
Decimal Number 3955
 
20.9%
Space Separator 3705
 
19.6%
Dash Punctuation 623
 
3.3%
Other Punctuation 58
 
0.3%
Uppercase Letter 56
 
0.3%
Math Symbol 25
 
0.1%
Lowercase Letter 11
 
0.1%
Close Punctuation 7
 
< 0.1%
Open Punctuation 7
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 761
 
7.3%
기 760
 
7.3%
도 753
 
7.2%
경 743
 
7.1%
동 737
 
7.0%
지 402
 
3.8%
구 347
 
3.3%
번 323
 
3.1%
안 255
 
2.4%
양 238
 
2.3%
Other values (313) 5154
49.2%
Uppercase Letter
ValueCountFrequency (%)
B 14
25.0%
E 4
 
7.1%
C 4
 
7.1%
A 3
 
5.4%
G 3
 
5.4%
S 3
 
5.4%
T 3
 
5.4%
M 3
 
5.4%
O 3
 
5.4%
R 2
 
3.6%
Other values (12) 14
25.0%
Decimal Number
ValueCountFrequency (%)
1 780
19.7%
2 499
12.6%
4 442
11.2%
3 436
11.0%
0 411
10.4%
5 347
8.8%
7 301
 
7.6%
6 291
 
7.4%
8 257
 
6.5%
9 191
 
4.8%
Lowercase Letter
ValueCountFrequency (%)
e 5
45.5%
s 1
 
9.1%
t 1
 
9.1%
l 1
 
9.1%
o 1
 
9.1%
w 1
 
9.1%
r 1
 
9.1%
Other Punctuation
ValueCountFrequency (%)
, 55
94.8%
/ 2
 
3.4%
· 1
 
1.7%
Letter Number
ValueCountFrequency (%)
Ⅱ 2
66.7%
Ⅰ 1
33.3%
Space Separator
ValueCountFrequency (%)
3705
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 623
100.0%
Math Symbol
ValueCountFrequency (%)
~ 25
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10473
55.3%
Common 8380
44.3%
Latin 70
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 761
 
7.3%
기 760
 
7.3%
도 753
 
7.2%
경 743
 
7.1%
동 737
 
7.0%
지 402
 
3.8%
구 347
 
3.3%
번 323
 
3.1%
안 255
 
2.4%
양 238
 
2.3%
Other values (313) 5154
49.2%
Latin
ValueCountFrequency (%)
B 14
20.0%
e 5
 
7.1%
E 4
 
5.7%
C 4
 
5.7%
A 3
 
4.3%
G 3
 
4.3%
S 3
 
4.3%
T 3
 
4.3%
M 3
 
4.3%
O 3
 
4.3%
Other values (21) 25
35.7%
Common
ValueCountFrequency (%)
3705
44.2%
1 780
 
9.3%
- 623
 
7.4%
2 499
 
6.0%
4 442
 
5.3%
3 436
 
5.2%
0 411
 
4.9%
5 347
 
4.1%
7 301
 
3.6%
6 291
 
3.5%
Other values (8) 545
 
6.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10472
55.3%
ASCII 8446
44.6%
Number Forms 3
 
< 0.1%
None 1
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3705
43.9%
1 780
 
9.2%
- 623
 
7.4%
2 499
 
5.9%
4 442
 
5.2%
3 436
 
5.2%
0 411
 
4.9%
5 347
 
4.1%
7 301
 
3.6%
6 291
 
3.4%
Other values (36) 611
 
7.2%
Hangul
ValueCountFrequency (%)
시 761
 
7.3%
기 760
 
7.3%
도 753
 
7.2%
경 743
 
7.1%
동 737
 
7.0%
지 402
 
3.8%
구 347
 
3.3%
번 323
 
3.1%
안 255
 
2.4%
양 238
 
2.3%
Other values (312) 5153
49.2%
Number Forms
ValueCountFrequency (%)
Ⅱ 2
66.7%
Ⅰ 1
33.3%
None
ValueCountFrequency (%)
· 1
100.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%

우편번호
Real number (ℝ)

Distinct404
Distinct (%)54.8%
Missing3
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean14394.43
Minimum10060
Maximum18624
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.6 KiB
2023-12-11T06:49:10.111275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10060
5-th percentile10412.6
Q112113
median14307
Q316443
95-th percentile18304.6
Maximum18624
Range8564
Interquartile range (IQR)4330

Descriptive statistics

Standard deviation2392.0951
Coefficient of variation (CV)0.16618199
Kurtosis-1.0124973
Mean14394.43
Median Absolute Deviation (MAD)2148
Skewness0.036832513
Sum10608695
Variance5722118.8
MonotonicityNot monotonic
2023-12-11T06:49:10.241441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13992 22
 
3.0%
13591 13
 
1.8%
11695 13
 
1.8%
15361 13
 
1.8%
14072 11
 
1.5%
16455 9
 
1.2%
14637 9
 
1.2%
15865 9
 
1.2%
16490 8
 
1.1%
11928 7
 
0.9%
Other values (394) 623
84.2%
ValueCountFrequency (%)
10060 1
 
0.1%
10071 5
0.7%
10108 3
0.4%
10113 2
 
0.3%
10242 1
 
0.1%
10298 1
 
0.1%
10341 1
 
0.1%
10342 1
 
0.1%
10343 3
0.4%
10364 4
0.5%
ValueCountFrequency (%)
18624 1
 
0.1%
18611 2
0.3%
18606 1
 
0.1%
18602 1
 
0.1%
18600 2
0.3%
18565 1
 
0.1%
18487 1
 
0.1%
18476 1
 
0.1%
18472 2
0.3%
18455 3
0.4%

전화번호
Text

MISSING 

Distinct100
Distinct (%)97.1%
Missing637
Missing (%)86.1%
Memory size5.9 KiB
2023-12-11T06:49:10.467641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length13
Mean length10.650485
Min length8

Characters and Unicode

Total characters1097
Distinct characters14
Distinct categories5 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique98 ?
Unique (%)95.1%

Sample

1st row974-6366
2nd row031-994-3042
3rd row031-902-2105
4th row977-6843
5th row902-1998
ValueCountFrequency (%)
02-333-8334 3
 
2.9%
365-3218 2
 
1.9%
031-234-7779 1
 
1.0%
498-9367 1
 
1.0%
031-387-9300 1
 
1.0%
465-0216 1
 
1.0%
651-8483.011-324-648 1
 
1.0%
465-5634 1
 
1.0%
1544-5860 1
 
1.0%
383-0016 1
 
1.0%
Other values (92) 92
87.6%
2023-12-11T06:49:10.860384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 156
14.2%
0 152
13.9%
3 134
12.2%
1 101
9.2%
2 100
9.1%
6 80
7.3%
8 78
7.1%
9 77
7.0%
7 76
6.9%
4 71
6.5%
Other values (4) 72
6.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 937
85.4%
Dash Punctuation 156
 
14.2%
Space Separator 2
 
0.2%
Close Punctuation 1
 
0.1%
Other Punctuation 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 152
16.2%
3 134
14.3%
1 101
10.8%
2 100
10.7%
6 80
8.5%
8 78
8.3%
9 77
8.2%
7 76
8.1%
4 71
7.6%
5 68
7.3%
Dash Punctuation
ValueCountFrequency (%)
- 156
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1097
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 156
14.2%
0 152
13.9%
3 134
12.2%
1 101
9.2%
2 100
9.1%
6 80
7.3%
8 78
7.1%
9 77
7.0%
7 76
6.9%
4 71
6.5%
Other values (4) 72
6.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1097
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 156
14.2%
0 152
13.9%
3 134
12.2%
1 101
9.2%
2 100
9.1%
6 80
7.3%
8 78
7.1%
9 77
7.0%
7 76
6.9%
4 71
6.5%
Other values (4) 72
6.6%

WGS84위도
Real number (ℝ)

Distinct715
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.433686
Minimum36.961363
Maximum38.091418
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.6 KiB
2023-12-11T06:49:11.010184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.961363
5-th percentile37.137067
Q137.287661
median37.403601
Q337.599271
95-th percentile37.752042
Maximum38.091418
Range1.1300546
Interquartile range (IQR)0.31161071

Descriptive statistics

Standard deviation0.20393366
Coefficient of variation (CV)0.0054478648
Kurtosis-0.21409596
Mean37.433686
Median Absolute Deviation (MAD)0.13302026
Skewness0.23321598
Sum27700.927
Variance0.041588937
MonotonicityNot monotonic
2023-12-11T06:49:11.163193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.6566476 3
 
0.4%
37.4592416762 2
 
0.3%
37.4435267002 2
 
0.3%
37.2077870826 2
 
0.3%
37.4744908 2
 
0.3%
37.4857926 2
 
0.3%
37.4669494991 2
 
0.3%
37.2643511757 2
 
0.3%
37.4619731238 2
 
0.3%
37.485398 2
 
0.3%
Other values (705) 719
97.2%
ValueCountFrequency (%)
36.9613633 1
0.1%
36.9789505731 1
0.1%
36.9816525607 1
0.1%
36.9912472 1
0.1%
36.9918793 1
0.1%
36.992383 1
0.1%
36.9925817 1
0.1%
36.9928795 1
0.1%
36.9928871 1
0.1%
36.9933022 1
0.1%
ValueCountFrequency (%)
38.0914179 1
0.1%
38.0653856554 2
0.3%
38.0216424178 1
0.1%
37.9575320565 1
0.1%
37.8925761 1
0.1%
37.892576 1
0.1%
37.8920711288 1
0.1%
37.8919722 1
0.1%
37.8916935296 1
0.1%
37.8916388 1
0.1%

WGS84경도
Real number (ℝ)

Distinct715
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.99394
Minimum126.62321
Maximum127.64264
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.6 KiB
2023-12-11T06:49:11.308666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.62321
5-th percentile126.76276
Q1126.84382
median127.0021
Q3127.11338
95-th percentile127.24669
Maximum127.64264
Range1.0194227
Interquartile range (IQR)0.26955482

Descriptive statistics

Standard deviation0.17477525
Coefficient of variation (CV)0.0013762488
Kurtosis1.431834
Mean126.99394
Median Absolute Deviation (MAD)0.124522
Skewness0.74771406
Sum93975.517
Variance0.030546389
MonotonicityNot monotonic
2023-12-11T06:49:11.450278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.7731153 3
 
0.4%
127.1264626052 2
 
0.3%
127.1396544482 2
 
0.3%
127.0361623581 2
 
0.3%
126.8691556 2
 
0.3%
126.7814637 2
 
0.3%
126.8226586406 2
 
0.3%
127.0319134691 2
 
0.3%
126.8799650443 2
 
0.3%
126.7824599 2
 
0.3%
Other values (705) 719
97.2%
ValueCountFrequency (%)
126.6232141562 1
0.1%
126.6245167276 1
0.1%
126.6246903175 1
0.1%
126.6255457011 1
0.1%
126.6260787927 1
0.1%
126.6305806 1
0.1%
126.6886687876 1
0.1%
126.6942604 1
0.1%
126.7147788697 1
0.1%
126.7161358 1
0.1%
ValueCountFrequency (%)
127.6426369 2
0.3%
127.6368566 1
0.1%
127.6367742 1
0.1%
127.6355001 1
0.1%
127.6353928 1
0.1%
127.6351063 1
0.1%
127.6346173531 1
0.1%
127.6329528 1
0.1%
127.6316984 1
0.1%
127.5947462667 1
0.1%

인허가취소일자
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)100.0%
Missing730
Missing (%)98.6%
Infinite0
Infinite (%)0.0%
Mean20151729
Minimum20090619
Maximum20201030
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.6 KiB
2023-12-11T06:49:11.591216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20090619
5-th percentile20099574
Q120130629
median20160968
Q320170400
95-th percentile20196570
Maximum20201030
Range110411
Interquartile range (IQR)39771.25

Descriptive statistics

Standard deviation35228.543
Coefficient of variation (CV)0.0017481648
Kurtosis-0.6838665
Mean20151729
Median Absolute Deviation (MAD)30209
Skewness-0.38567451
Sum2.0151729 × 108
Variance1.2410502 × 109
MonotonicityNot monotonic
2023-12-11T06:49:11.721054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
20130605 1
 
0.1%
20110520 1
 
0.1%
20191120 1
 
0.1%
20201030 1
 
0.1%
20130702 1
 
0.1%
20161011 1
 
0.1%
20160926 1
 
0.1%
20170330 1
 
0.1%
20090619 1
 
0.1%
20170424 1
 
0.1%
(Missing) 730
98.6%
ValueCountFrequency (%)
20090619 1
0.1%
20110520 1
0.1%
20130605 1
0.1%
20130702 1
0.1%
20160926 1
0.1%
20161011 1
0.1%
20170330 1
0.1%
20170424 1
0.1%
20191120 1
0.1%
20201030 1
0.1%
ValueCountFrequency (%)
20201030 1
0.1%
20191120 1
0.1%
20170424 1
0.1%
20170330 1
0.1%
20161011 1
0.1%
20160926 1
0.1%
20130702 1
0.1%
20130605 1
0.1%
20110520 1
0.1%
20090619 1
0.1%

폐업일자
Date

MISSING 

Distinct353
Distinct (%)89.4%
Missing345
Missing (%)46.6%
Memory size5.9 KiB
Minimum2003-02-26 00:00:00
Maximum2023-10-30 00:00:00
2023-12-11T06:49:11.848617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:49:11.987028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing740
Missing (%)100.0%
Memory size6.6 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing740
Missing (%)100.0%
Memory size6.6 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing740
Missing (%)100.0%
Memory size6.6 KiB

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing740
Missing (%)100.0%
Memory size6.6 KiB

X좌표값
Real number (ℝ)

MISSING 

Distinct675
Distinct (%)94.4%
Missing25
Missing (%)3.4%
Infinite0
Infinite (%)0.0%
Mean199556.06
Minimum166677.31
Maximum256906.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.6 KiB
2023-12-11T06:49:12.146965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum166677.31
5-th percentile179056.29
Q1185761.21
median200584.84
Q3209995.75
95-th percentile222915.95
Maximum256906.7
Range90229.389
Interquartile range (IQR)24234.537

Descriptive statistics

Standard deviation15559.857
Coefficient of variation (CV)0.077972358
Kurtosis1.436893
Mean199556.06
Median Absolute Deviation (MAD)11301.635
Skewness0.75018449
Sum1.4268259 × 108
Variance2.4210915 × 108
MonotonicityNot monotonic
2023-12-11T06:49:12.279636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
180606.414943112 3
 
0.4%
185573.701768477 3
 
0.4%
179913.323308018 3
 
0.4%
202764.035919728 2
 
0.3%
211120.419765162 2
 
0.3%
212720.982792324 2
 
0.3%
212241.185744154 2
 
0.3%
193022.565929364 2
 
0.3%
227517.61144726 2
 
0.3%
212299.454841763 2
 
0.3%
Other values (665) 692
93.5%
(Missing) 25
 
3.4%
ValueCountFrequency (%)
166677.313331729 1
0.1%
166791.281614547 1
0.1%
166806.658268513 1
0.1%
166886.209371857 1
0.1%
166928.339812519 1
0.1%
167337.270634813 1
0.1%
172343.830079867 1
0.1%
174676.932901493 1
0.1%
174875.640148238 1
0.1%
175038.325727647 1
0.1%
ValueCountFrequency (%)
256906.701938784 2
0.3%
256402.962032087 1
0.1%
256396.882477281 1
0.1%
256285.820769176 1
0.1%
256272.923245237 1
0.1%
256252.021522191 1
0.1%
256199.187020889 1
0.1%
256186.115448283 1
0.1%
256075.735333333 1
0.1%
252538.123184479 1
0.1%

Y좌표값
Real number (ℝ)

MISSING 

Distinct675
Distinct (%)94.4%
Missing25
Missing (%)3.4%
Infinite0
Infinite (%)0.0%
Mean436766.82
Minimum384430.06
Maximum509885.19
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.6 KiB
2023-12-11T06:49:12.426627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum384430.06
5-th percentile403184.01
Q1420198.9
median433549.71
Q3455201.44
95-th percentile472190.38
Maximum509885.19
Range125455.13
Interquartile range (IQR)35002.539

Descriptive statistics

Standard deviation22843.006
Coefficient of variation (CV)0.052300231
Kurtosis-0.23593373
Mean436766.82
Median Absolute Deviation (MAD)14918.118
Skewness0.23458242
Sum3.1228828 × 108
Variance5.2180291 × 108
MonotonicityNot monotonic
2023-12-11T06:49:12.581980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
442655.056264417 3
 
0.4%
424075.337478471 3
 
0.4%
461616.743761126 3
 
0.4%
418056.928799261 2
 
0.3%
439682.30302438 2
 
0.3%
437625.102072154 2
 
0.3%
454406.787951674 2
 
0.3%
433123.813585209 2
 
0.3%
507014.18422547 2
 
0.3%
455409.963889775 2
 
0.3%
Other values (665) 692
93.5%
(Missing) 25
 
3.4%
ValueCountFrequency (%)
384430.059711511 1
0.1%
386372.422239524 1
0.1%
386705.615528701 1
0.1%
387747.535932765 1
0.1%
387819.614150567 1
0.1%
387875.007980707 1
0.1%
387896.128922653 1
0.1%
387928.821530625 1
0.1%
387935.807314392 1
0.1%
387977.138813176 1
0.1%
ValueCountFrequency (%)
509885.194591967 1
0.1%
507014.18422547 2
0.3%
502110.288736839 1
0.1%
495028.856310638 1
0.1%
487782.287493292 1
0.1%
487782.09307391 1
0.1%
487715.541128452 1
0.1%
487715.442793085 1
0.1%
487676.12291677 1
0.1%
487667.457442944 1
0.1%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct18
Distinct (%)5.2%
Missing391
Missing (%)52.8%
Infinite0
Infinite (%)0.0%
Mean3.756447
Minimum0
Maximum24
Zeros147
Zeros (%)19.9%
Negative0
Negative (%)0.0%
Memory size6.6 KiB
2023-12-11T06:49:12.722143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q36
95-th percentile11
Maximum24
Range24
Interquartile range (IQR)6

Descriptive statistics

Standard deviation4.2596402
Coefficient of variation (CV)1.1339546
Kurtosis1.5136976
Mean3.756447
Median Absolute Deviation (MAD)3
Skewness1.1854403
Sum1311
Variance18.144534
MonotonicityNot monotonic
2023-12-11T06:49:13.107069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 147
 
19.9%
4 29
 
3.9%
5 29
 
3.9%
6 25
 
3.4%
8 19
 
2.6%
3 17
 
2.3%
9 16
 
2.2%
2 16
 
2.2%
7 12
 
1.6%
10 9
 
1.2%
Other values (8) 30
 
4.1%
(Missing) 391
52.8%
ValueCountFrequency (%)
0 147
19.9%
1 5
 
0.7%
2 16
 
2.2%
3 17
 
2.3%
4 29
 
3.9%
5 29
 
3.9%
6 25
 
3.4%
7 12
 
1.6%
8 19
 
2.6%
9 16
 
2.2%
ValueCountFrequency (%)
24 1
 
0.1%
17 6
 
0.8%
15 1
 
0.1%
14 2
 
0.3%
13 1
 
0.1%
12 6
 
0.8%
11 8
1.1%
10 9
1.2%
9 16
2.2%
8 19
2.6%

주변환경명
Categorical

IMBALANCE 

Distinct7
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
<NA>
614 
기타
66 
유흥업소밀집지역
 
35
주택가주변
 
12
학교정화(상대)
 
10
Other values (2)
 
3

Length

Max length8
Median length4
Mean length4.0891892
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 614
83.0%
기타 66
 
8.9%
유흥업소밀집지역 35
 
4.7%
주택가주변 12
 
1.6%
학교정화(상대) 10
 
1.4%
아파트지역 2
 
0.3%
학교정화(절대) 1
 
0.1%

Length

2023-12-11T06:49:13.244079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:49:13.380645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 614
83.0%
기타 66
 
8.9%
유흥업소밀집지역 35
 
4.7%
주택가주변 12
 
1.6%
학교정화(상대 10
 
1.4%
아파트지역 2
 
0.3%
학교정화(절대 1
 
0.1%

제작취급품목내용
Text

MISSING 

Distinct122
Distinct (%)24.0%
Missing231
Missing (%)31.2%
Memory size5.9 KiB
2023-12-11T06:49:13.638988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length33
Mean length8.5579568
Min length2

Characters and Unicode

Total characters4356
Distinct characters145
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique102 ?
Unique (%)20.0%

Sample

1st row비디오감상실업
2nd row소매업
3rd row노래연습장업
4th row기타유원시설업
5th row휴게음식점
ValueCountFrequency (%)
휴게음식점 138
23.2%
식품접객업 92
15.5%
식품접객업(휴게음식점 86
14.5%
노래연습장업 57
 
9.6%
노래연습장 18
 
3.0%
청소년게임제공업 16
 
2.7%
기타유원시설업 12
 
2.0%
인터넷컴퓨터게임시설제공업 12
 
2.0%
영화감상 8
 
1.3%
휴게음식업 6
 
1.0%
Other values (121) 149
25.1%
2023-12-11T06:49:14.017125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
식 442
 
10.1%
업 351
 
8.1%
게 303
 
7.0%
음 252
 
5.8%
휴 247
 
5.7%
점 243
 
5.6%
품 192
 
4.4%
객 187
 
4.3%
접 186
 
4.3%
( 120
 
2.8%
Other values (135) 1833
42.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3742
85.9%
Open Punctuation 121
 
2.8%
Decimal Number 121
 
2.8%
Close Punctuation 120
 
2.8%
Space Separator 85
 
2.0%
Other Punctuation 85
 
2.0%
Uppercase Letter 58
 
1.3%
Dash Punctuation 10
 
0.2%
Math Symbol 7
 
0.2%
Lowercase Letter 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
식 442
 
11.8%
업 351
 
9.4%
게 303
 
8.1%
음 252
 
6.7%
휴 247
 
6.6%
점 243
 
6.5%
품 192
 
5.1%
객 187
 
5.0%
접 186
 
5.0%
노 111
 
3.0%
Other values (101) 1228
32.8%
Decimal Number
ValueCountFrequency (%)
0 28
23.1%
1 21
17.4%
2 20
16.5%
8 12
9.9%
3 11
 
9.1%
5 8
 
6.6%
9 7
 
5.8%
4 7
 
5.8%
7 4
 
3.3%
6 3
 
2.5%
Uppercase Letter
ValueCountFrequency (%)
P 17
29.3%
C 16
27.6%
D 10
17.2%
V 9
15.5%
T 3
 
5.2%
I 1
 
1.7%
K 1
 
1.7%
R 1
 
1.7%
Lowercase Letter
ValueCountFrequency (%)
i 2
40.0%
w 1
20.0%
p 1
20.0%
c 1
20.0%
Other Punctuation
ValueCountFrequency (%)
, 78
91.8%
. 5
 
5.9%
: 2
 
2.4%
Open Punctuation
ValueCountFrequency (%)
( 120
99.2%
[ 1
 
0.8%
Close Punctuation
ValueCountFrequency (%)
) 119
99.2%
] 1
 
0.8%
Math Symbol
ValueCountFrequency (%)
+ 6
85.7%
→ 1
 
14.3%
Space Separator
ValueCountFrequency (%)
85
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%
Other Symbol
ValueCountFrequency (%)
㎡ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3742
85.9%
Common 551
 
12.6%
Latin 63
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
식 442
 
11.8%
업 351
 
9.4%
게 303
 
8.1%
음 252
 
6.7%
휴 247
 
6.6%
점 243
 
6.5%
품 192
 
5.1%
객 187
 
5.0%
접 186
 
5.0%
노 111
 
3.0%
Other values (101) 1228
32.8%
Common
ValueCountFrequency (%)
( 120
21.8%
) 119
21.6%
85
15.4%
, 78
14.2%
0 28
 
5.1%
1 21
 
3.8%
2 20
 
3.6%
8 12
 
2.2%
3 11
 
2.0%
- 10
 
1.8%
Other values (12) 47
 
8.5%
Latin
ValueCountFrequency (%)
P 17
27.0%
C 16
25.4%
D 10
15.9%
V 9
14.3%
T 3
 
4.8%
i 2
 
3.2%
I 1
 
1.6%
w 1
 
1.6%
K 1
 
1.6%
p 1
 
1.6%
Other values (2) 2
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3742
85.9%
ASCII 611
 
14.0%
CJK Compat 2
 
< 0.1%
Arrows 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
식 442
 
11.8%
업 351
 
9.4%
게 303
 
8.1%
음 252
 
6.7%
휴 247
 
6.6%
점 243
 
6.5%
품 192
 
5.1%
객 187
 
5.0%
접 186
 
5.0%
노 111
 
3.0%
Other values (101) 1228
32.8%
ASCII
ValueCountFrequency (%)
( 120
19.6%
) 119
19.5%
85
13.9%
, 78
12.8%
0 28
 
4.6%
1 21
 
3.4%
2 20
 
3.3%
P 17
 
2.8%
C 16
 
2.6%
8 12
 
2.0%
Other values (22) 95
15.5%
CJK Compat
ValueCountFrequency (%)
㎡ 2
100.0%
Arrows
ValueCountFrequency (%)
→ 1
100.0%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct669
Distinct (%)93.0%
Missing21
Missing (%)2.8%
Infinite0
Infinite (%)0.0%
Mean261.51293
Minimum0
Maximum1669.23
Zeros12
Zeros (%)1.6%
Negative0
Negative (%)0.0%
Memory size6.6 KiB
2023-12-11T06:49:14.172604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile73.9
Q1170.95
median240.83
Q3331.29
95-th percentile473.275
Maximum1669.23
Range1669.23
Interquartile range (IQR)160.34

Descriptive statistics

Standard deviation150.98229
Coefficient of variation (CV)0.5773416
Kurtosis20.84334
Mean261.51293
Median Absolute Deviation (MAD)78.45
Skewness2.8293474
Sum188027.8
Variance22795.653
MonotonicityNot monotonic
2023-12-11T06:49:14.332970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 12
 
1.6%
1.0 3
 
0.4%
269.46 3
 
0.4%
100.0 3
 
0.4%
196.85 3
 
0.4%
297.0 2
 
0.3%
303.36 2
 
0.3%
215.28 2
 
0.3%
218.0 2
 
0.3%
132.0 2
 
0.3%
Other values (659) 685
92.6%
(Missing) 21
 
2.8%
ValueCountFrequency (%)
0.0 12
1.6%
1.0 3
 
0.4%
11.0 1
 
0.1%
32.83 1
 
0.1%
34.38 1
 
0.1%
38.52 1
 
0.1%
39.11 1
 
0.1%
40.0 1
 
0.1%
45.0 1
 
0.1%
46.0 1
 
0.1%
ValueCountFrequency (%)
1669.23 1
0.1%
1612.84 1
0.1%
1172.68 1
0.1%
882.68 1
0.1%
879.33 1
0.1%
753.9 1
0.1%
690.66 1
0.1%
675.98 1
0.1%
673.79 1
0.1%
667.36 1
0.1%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct17
Distinct (%)4.4%
Missing356
Missing (%)48.1%
Infinite0
Infinite (%)0.0%
Mean3.0260417
Minimum0
Maximum18
Zeros136
Zeros (%)18.4%
Negative0
Negative (%)0.0%
Memory size6.6 KiB
2023-12-11T06:49:14.475007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q35
95-th percentile9
Maximum18
Range18
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.1662959
Coefficient of variation (CV)1.0463491
Kurtosis1.6272849
Mean3.0260417
Median Absolute Deviation (MAD)2
Skewness1.1602046
Sum1162
Variance10.02543
MonotonicityNot monotonic
2023-12-11T06:49:14.579796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 136
 
18.4%
4 44
 
5.9%
5 41
 
5.5%
2 40
 
5.4%
3 35
 
4.7%
7 21
 
2.8%
6 18
 
2.4%
1 17
 
2.3%
8 10
 
1.4%
9 6
 
0.8%
Other values (7) 16
 
2.2%
(Missing) 356
48.1%
ValueCountFrequency (%)
0 136
18.4%
1 17
 
2.3%
2 40
 
5.4%
3 35
 
4.7%
4 44
 
5.9%
5 41
 
5.5%
6 18
 
2.4%
7 21
 
2.8%
8 10
 
1.4%
9 6
 
0.8%
ValueCountFrequency (%)
18 1
 
0.1%
15 1
 
0.1%
14 1
 
0.1%
13 1
 
0.1%
12 4
 
0.5%
11 2
 
0.3%
10 6
 
0.8%
9 6
 
0.8%
8 10
1.4%
7 21
2.8%

지하층수
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)2.6%
Missing432
Missing (%)58.4%
Infinite0
Infinite (%)0.0%
Mean0.8538961
Minimum0
Maximum7
Zeros154
Zeros (%)20.8%
Negative0
Negative (%)0.0%
Memory size6.6 KiB
2023-12-11T06:49:14.682521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.5
Q31
95-th percentile3
Maximum7
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.167454
Coefficient of variation (CV)1.3672085
Kurtosis4.729138
Mean0.8538961
Median Absolute Deviation (MAD)0.5
Skewness1.9314281
Sum263
Variance1.3629489
MonotonicityNot monotonic
2023-12-11T06:49:14.819978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 154
 
20.8%
1 92
 
12.4%
2 36
 
4.9%
3 14
 
1.9%
4 6
 
0.8%
5 4
 
0.5%
6 1
 
0.1%
7 1
 
0.1%
(Missing) 432
58.4%
ValueCountFrequency (%)
0 154
20.8%
1 92
12.4%
2 36
 
4.9%
3 14
 
1.9%
4 6
 
0.8%
5 4
 
0.5%
6 1
 
0.1%
7 1
 
0.1%
ValueCountFrequency (%)
7 1
 
0.1%
6 1
 
0.1%
5 4
 
0.5%
4 6
 
0.8%
3 14
 
1.9%
2 36
 
4.9%
1 92
12.4%
0 154
20.8%

건물용도명
Categorical

IMBALANCE 

Distinct12
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
<NA>
502 
근린생활시설
211 
판매시설
 
13
유통시설
 
4
사무실
 
3
Other values (7)
 
7

Length

Max length7
Median length4
Mean length4.5743243
Min length3

Unique

Unique7 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 502
67.8%
근린생활시설 211
28.5%
판매시설 13
 
1.8%
유통시설 4
 
0.5%
사무실 3
 
0.4%
다세대주택 1
 
0.1%
의료시설 1
 
0.1%
환경위생시설 1
 
0.1%
운수시설 1
 
0.1%
아파트 1
 
0.1%
Other values (2) 2
 
0.3%

Length

2023-12-11T06:49:14.973135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 502
67.8%
근린생활시설 211
28.5%
판매시설 13
 
1.8%
유통시설 4
 
0.5%
사무실 3
 
0.4%
다세대주택 1
 
0.1%
의료시설 1
 
0.1%
환경위생시설 1
 
0.1%
운수시설 1
 
0.1%
아파트 1
 
0.1%
Other values (2) 2
 
0.3%

통로너비
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
<NA>
567 
0
173 

Length

Max length4
Median length4
Mean length3.2986486
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 567
76.6%
0 173
 
23.4%

Length

2023-12-11T06:49:15.122836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:49:15.229671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 567
76.6%
0 173
 
23.4%

조명시설조도
Real number (ℝ)

MISSING  ZEROS 

Distinct29
Distinct (%)13.7%
Missing529
Missing (%)71.5%
Infinite0
Infinite (%)0.0%
Mean16.105213
Minimum0
Maximum220
Zeros171
Zeros (%)23.1%
Negative0
Negative (%)0.0%
Memory size6.6 KiB
2023-12-11T06:49:15.363400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile122.5
Maximum220
Range220
Interquartile range (IQR)0

Descriptive statistics

Standard deviation40.158099
Coefficient of variation (CV)2.4934844
Kurtosis9.1461069
Mean16.105213
Median Absolute Deviation (MAD)0
Skewness2.9721837
Sum3398.2
Variance1612.6729
MonotonicityNot monotonic
2023-12-11T06:49:15.474051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
0.0 171
 
23.1%
40.0 7
 
0.9%
50.0 3
 
0.4%
45.0 3
 
0.4%
125.0 2
 
0.3%
42.0 2
 
0.3%
214.0 1
 
0.1%
66.0 1
 
0.1%
45.2 1
 
0.1%
85.0 1
 
0.1%
Other values (19) 19
 
2.6%
(Missing) 529
71.5%
ValueCountFrequency (%)
0.0 171
23.1%
40.0 7
 
0.9%
42.0 2
 
0.3%
43.0 1
 
0.1%
45.0 3
 
0.4%
45.2 1
 
0.1%
50.0 3
 
0.4%
56.0 1
 
0.1%
60.0 1
 
0.1%
63.0 1
 
0.1%
ValueCountFrequency (%)
220.0 1
0.1%
214.0 1
0.1%
199.0 1
0.1%
160.0 1
0.1%
143.0 1
0.1%
140.0 1
0.1%
139.0 1
0.1%
130.0 1
0.1%
128.0 1
0.1%
125.0 2
0.3%

노래방실수
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
<NA>
567 
0
173 

Length

Max length4
Median length4
Mean length3.2986486
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 567
76.6%
0 173
 
23.4%

Length

2023-12-11T06:49:15.602169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:49:15.703366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 567
76.6%
0 173
 
23.4%

청소년실수
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
<NA>
567 
0
173 

Length

Max length4
Median length4
Mean length3.2986486
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 567
76.6%
0 173
 
23.4%

Length

2023-12-11T06:49:15.828294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:49:15.958908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 567
76.6%
0 173
 
23.4%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing740
Missing (%)100.0%
Memory size6.6 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing740
Missing (%)100.0%
Memory size6.6 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing740
Missing (%)100.0%
Memory size6.6 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing740
Missing (%)100.0%
Memory size6.6 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing740
Missing (%)100.0%
Memory size6.6 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing740
Missing (%)100.0%
Memory size6.6 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing740
Missing (%)100.0%
Memory size6.6 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing740
Missing (%)100.0%
Memory size6.6 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing740
Missing (%)100.0%
Memory size6.6 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing740
Missing (%)100.0%
Memory size6.6 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing740
Missing (%)100.0%
Memory size6.6 KiB

총게임기수
Real number (ℝ)

MISSING  ZEROS 

Distinct125
Distinct (%)38.3%
Missing414
Missing (%)55.9%
Infinite0
Infinite (%)0.0%
Mean56.282209
Minimum0
Maximum370
Zeros111
Zeros (%)15.0%
Negative0
Negative (%)0.0%
Memory size6.6 KiB
2023-12-11T06:49:16.087630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median38.5
Q3100
95-th percentile158.25
Maximum370
Range370
Interquartile range (IQR)100

Descriptive statistics

Standard deviation61.734918
Coefficient of variation (CV)1.0968816
Kurtosis1.6864213
Mean56.282209
Median Absolute Deviation (MAD)38.5
Skewness1.125425
Sum18348
Variance3811.2001
MonotonicityNot monotonic
2023-12-11T06:49:16.218257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 111
 
15.0%
100 8
 
1.1%
13 6
 
0.8%
11 5
 
0.7%
14 5
 
0.7%
40 5
 
0.7%
150 4
 
0.5%
15 4
 
0.5%
125 4
 
0.5%
50 4
 
0.5%
Other values (115) 170
23.0%
(Missing) 414
55.9%
ValueCountFrequency (%)
0 111
15.0%
3 2
 
0.3%
4 1
 
0.1%
5 1
 
0.1%
6 2
 
0.3%
7 1
 
0.1%
8 1
 
0.1%
9 1
 
0.1%
10 1
 
0.1%
11 5
 
0.7%
ValueCountFrequency (%)
370 1
0.1%
300 1
0.1%
244 1
0.1%
215 1
0.1%
214 1
0.1%
205 1
0.1%
200 1
0.1%
183 1
0.1%
176 1
0.1%
174 2
0.3%

기존게임업외업종명
Text

MISSING 

Distinct66
Distinct (%)43.4%
Missing588
Missing (%)79.5%
Memory size5.9 KiB
2023-12-11T06:49:16.397076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length33
Mean length9.2763158
Min length1

Characters and Unicode

Total characters1410
Distinct characters145
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique56 ?
Unique (%)36.8%

Sample

1st row청소년게임제공업
2nd row소매업
3rd row위(Wii)
4th row청소년게임제공업
5th row영화감상, 청소년게임제공, 노래연습장, PC게임
ValueCountFrequency (%)
식품접객업 28
 
14.5%
휴게음식점 25
 
13.0%
청소년게임제공업 14
 
7.3%
인터넷컴퓨터게임시설제공업 10
 
5.2%
노래연습장업 10
 
5.2%
식품접객업(휴게음식점 8
 
4.1%
복합유통게임제공업 5
 
2.6%
노래연습장 3
 
1.6%
제공 2
 
1.0%
게임 2
 
1.0%
Other values (74) 86
44.6%
2023-12-11T06:49:16.683672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
업 95
 
6.7%
게 86
 
6.1%
식 84
 
6.0%
임 47
 
3.3%
제 45
 
3.2%
공 45
 
3.2%
점 43
 
3.0%
음 42
 
3.0%
품 42
 
3.0%
41
 
2.9%
Other values (135) 840
59.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1169
82.9%
Uppercase Letter 44
 
3.1%
Space Separator 41
 
2.9%
Decimal Number 39
 
2.8%
Other Punctuation 32
 
2.3%
Close Punctuation 31
 
2.2%
Open Punctuation 30
 
2.1%
Lowercase Letter 16
 
1.1%
Math Symbol 5
 
0.4%
Dash Punctuation 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 95
 
8.1%
게 86
 
7.4%
식 84
 
7.2%
임 47
 
4.0%
제 45
 
3.8%
공 45
 
3.8%
점 43
 
3.7%
음 42
 
3.6%
품 42
 
3.6%
휴 40
 
3.4%
Other values (97) 600
51.3%
Uppercase Letter
ValueCountFrequency (%)
P 7
15.9%
V 7
15.9%
D 6
13.6%
C 5
11.4%
R 4
9.1%
A 3
6.8%
T 3
6.8%
K 2
 
4.5%
E 1
 
2.3%
M 1
 
2.3%
Other values (5) 5
11.4%
Decimal Number
ValueCountFrequency (%)
1 10
25.6%
0 9
23.1%
2 8
20.5%
8 3
 
7.7%
5 3
 
7.7%
3 3
 
7.7%
4 2
 
5.1%
6 1
 
2.6%
Lowercase Letter
ValueCountFrequency (%)
i 8
50.0%
w 3
 
18.8%
p 1
 
6.2%
c 1
 
6.2%
b 1
 
6.2%
o 1
 
6.2%
x 1
 
6.2%
Other Punctuation
ValueCountFrequency (%)
, 29
90.6%
. 2
 
6.2%
: 1
 
3.1%
Space Separator
ValueCountFrequency (%)
41
100.0%
Close Punctuation
ValueCountFrequency (%)
) 31
100.0%
Open Punctuation
ValueCountFrequency (%)
( 30
100.0%
Math Symbol
ValueCountFrequency (%)
+ 5
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1169
82.9%
Common 181
 
12.8%
Latin 60
 
4.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 95
 
8.1%
게 86
 
7.4%
식 84
 
7.2%
임 47
 
4.0%
제 45
 
3.8%
공 45
 
3.8%
점 43
 
3.7%
음 42
 
3.6%
품 42
 
3.6%
휴 40
 
3.4%
Other values (97) 600
51.3%
Latin
ValueCountFrequency (%)
i 8
13.3%
P 7
11.7%
V 7
11.7%
D 6
10.0%
C 5
8.3%
R 4
 
6.7%
w 3
 
5.0%
A 3
 
5.0%
T 3
 
5.0%
K 2
 
3.3%
Other values (12) 12
20.0%
Common
ValueCountFrequency (%)
41
22.7%
) 31
17.1%
( 30
16.6%
, 29
16.0%
1 10
 
5.5%
0 9
 
5.0%
2 8
 
4.4%
+ 5
 
2.8%
- 3
 
1.7%
8 3
 
1.7%
Other values (6) 12
 
6.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1169
82.9%
ASCII 241
 
17.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
업 95
 
8.1%
게 86
 
7.4%
식 84
 
7.2%
임 47
 
4.0%
제 45
 
3.8%
공 45
 
3.8%
점 43
 
3.7%
음 42
 
3.6%
품 42
 
3.6%
휴 40
 
3.4%
Other values (97) 600
51.3%
ASCII
ValueCountFrequency (%)
41
17.0%
) 31
12.9%
( 30
12.4%
, 29
12.0%
1 10
 
4.1%
0 9
 
3.7%
2 8
 
3.3%
i 8
 
3.3%
P 7
 
2.9%
V 7
 
2.9%
Other values (28) 61
25.3%

제공게임물명
Categorical

Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
전체이용가
445 
<NA>
282 
청소년이용불가
 
8
전체이용가 및 청소년이용불가
 
5

Length

Max length15
Median length5
Mean length4.7081081
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
전체이용가 445
60.1%
<NA> 282
38.1%
청소년이용불가 8
 
1.1%
전체이용가 및 청소년이용불가 5
 
0.7%

Length

2023-12-11T06:49:16.808925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:49:16.959244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전체이용가 450
60.0%
na 282
37.6%
청소년이용불가 13
 
1.7%
및 5
 
0.7%

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing740
Missing (%)100.0%
Memory size6.6 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing740
Missing (%)100.0%
Memory size6.6 KiB

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing740
Missing (%)100.0%
Memory size6.6 KiB

지역구분명
Categorical

IMBALANCE 

Distinct11
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
<NA>
547 
일반상업지역
66 
상업지역
 
31
일반주거지역
 
30
중심상업지역
 
26
Other values (6)
 
40

Length

Max length6
Median length4
Mean length4.3851351
Min length4

Unique

Unique3 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 547
73.9%
일반상업지역 66
 
8.9%
상업지역 31
 
4.2%
일반주거지역 30
 
4.1%
중심상업지역 26
 
3.5%
준주거지역 20
 
2.7%
근린상업지역 9
 
1.2%
주거지역 8
 
1.1%
준공업지역 1
 
0.1%
전용주거지역 1
 
0.1%

Length

2023-12-11T06:49:17.094590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 547
73.9%
일반상업지역 66
 
8.9%
상업지역 31
 
4.2%
일반주거지역 30
 
4.1%
중심상업지역 26
 
3.5%
준주거지역 20
 
2.7%
근린상업지역 9
 
1.2%
주거지역 8
 
1.1%
준공업지역 1
 
0.1%
전용주거지역 1
 
0.1%

Sample

시군명사업장명영업상태인허가일자도로명주소지번주소우편번호전화번호WGS84위도WGS84경도인허가취소일자폐업일자휴업시작일자휴업종료일자재개업일자소재지면적X좌표값Y좌표값총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
0고양시ACDC2 PC방폐업20160517경기도 고양시 일산서구 일현로 28, 301호 (탄현동, 태창빌딩)경기도 고양시 일산서구 탄현동 1574-6 태창빌딩 301호10343<NA>37.689713126.762135<NA>20200707<NA><NA><NA><NA>178951.960416465280.934894<NA><NA><NA>292.87<NA><NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>83청소년게임제공업전체이용가<NA><NA><NA>일반상업지역
1고양시M PLAY멀티방폐업20100324경기도 고양시 덕양구 화신로260번길 41 (화정동,동성골드프라자305호)경기도 고양시 덕양구 화정동 978-2번지 동성골드프라자305호10500974-636637.632602126.832507<NA>20150408<NA><NA><NA><NA>185151.31458940.38기타비디오감상실업178.5683근린생활시설<NA>67.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>12<NA>전체이용가<NA><NA><NA>중심상업지역
2고양시PC CAFE직권말소20081105경기도 고양시 일산동구 중앙로 1047, 205호 (백석동,영림브레아)경기도 고양시 일산동구 백석동 1331번지 영림브레아 205호10447<NA>37.643025126.787184<NA>20110330<NA><NA><NA><NA>181151.945109460105.154114<NA><NA>소매업46.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>소매업<NA><NA><NA><NA><NA>
3고양시TJ GAME PARK폐업20170110경기도 고양시 일산서구 일현로 47, 203,204호 (탄현동, 예일 큰프라자)경기도 고양시 일산서구 탄현동 1563-3 예일 큰프라자 203,2호10343<NA>37.691564126.762764<NA>20211101<NA><NA><NA><NA>179006.395863465488.2818130<NA>노래연습장업359.0281근린생활시설00.000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA>전체이용가<NA><NA><NA>일반상업지역
4고양시VR SQUARE 일산웨스턴돔점폐업20180727경기도 고양시 일산동구 정발산로 24, 웨스턴돔1 A동 301, 302호 (장항동)경기도 고양시 일산동구 장항동 868 웨스턴돔110403031-994-304237.655893126.771971<NA>20201030<NA><NA><NA><NA>179867.687197461402.02302<NA><NA>기타유원시설업430.4<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>13<NA>전체이용가<NA><NA><NA><NA>
5고양시VR궁 가상현실체험관직권말소20170717경기도 고양시 일산동구 중앙로1275번길 38-9, 3층 (장항동)경기도 고양시 일산동구 장항동 770-110401031-902-210537.659695126.770165<NA>20201228<NA><NA><NA><NA>179657.690817461951.326975<NA><NA><NA>282.41<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>13<NA>전체이용가<NA><NA><NA><NA>
6고양시e-sport폐업20050120경기도 고양시 일산서구 원일로 81-1, 2층호 (일산동)경기도 고양시 일산서구 일산동 594-38번지 2층호10342977-684337.686151126.771403<NA>20060615<NA><NA><NA><NA>179772.223119464895.366289<NA><NA><NA>210.0<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>
7고양시pc bin영업중20090731경기도 고양시 일산서구 대산로 123, 지하층 (주엽동, 현대프라자)경기도 고양시 일산서구 주엽동 30-2 현대프라자 지하전체10388<NA>37.674246126.763627<NA><NA><NA><NA><NA><NA>179077.68463565.905<NA><NA>휴게음식점282.98<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전체이용가<NA><NA><NA><NA>
8고양시고고게임센터폐업2018-07-24경기도 고양시 일산서구 일현로 97-11, 지하1층 B113호 (탄현동, 일산 위브더제니스)경기도 고양시 일산서구 탄현동 1640 일산 위브더제니스 지하1층 B113호10242<NA>37.695215126.762784<NA>2023-04-17<NA><NA><NA><NA>179005.665069465786.029744<NA>노래연습장업470.7322판매시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전체이용가<NA><NA><NA><NA>
9고양시골드멀티방등록취소20130325경기도 고양시 일산동구 무궁화로 37, 206호 (장항동, 노블리제)경기도 고양시 일산동구 장항동 734-1번지 노블리제 206호10364<NA>37.663215126.76813120130605<NA><NA><NA><NA><NA>179477.093339462348.09623410<NA><NA>87.722<NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>위(Wii)전체이용가<NA><NA><NA>중심상업지역
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730화성시크라우드PC방(향남점)직권말소20191014경기도 화성시 향남읍 상신하길로298번길 7-7, 606호경기도 화성시 향남읍 하길리 1472-218611<NA>37.115646126.91058<NA>20220720<NA><NA><NA><NA>191981.992571401547.3406770<NA>휴게음식점172.200<NA>00.000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
731화성시크라우드PC북광장점영업중20200116경기도 화성시 동탄중심상가2길 11, 삼성파크뷰 401~403호 (반송동)경기도 화성시 반송동 88-9 삼성파크뷰18453<NA>37.205772127.073273<NA><NA><NA><NA><NA><NA>206434.414735411545.489846<NA><NA>식품접객업753.9<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>
732화성시타이거피시카페폐업20130524경기도 화성시 동탄솔빛로 62, 115~117호 (반송동, 리첸프라자)경기도 화성시 반송동 217-1 리첸프라자 115-7호18442<NA>37.193977127.074309<NA>20161020<NA><NA><NA><NA>206524.561447410233.500064<NA><NA>휴게음식점105.3<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>인터넷컴퓨터게임시설제공업전체이용가<NA><NA><NA><NA>
733화성시트리플 PC카페영업중2023-06-22경기도 화성시 봉담읍 동화길 93-12, 3층 301~304호경기도 화성시 봉담읍 동화리 600-318302<NA>37.216793126.959747<NA><NA><NA><NA><NA><NA>196357.632204412768.0853380<NA>휴게음식점424.2100<NA>00.000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>162<NA><NA><NA><NA><NA><NA>
734화성시프라임PC방(남양점)영업중20190208경기도 화성시 남양읍 남양성지로 147, 310,311호경기도 화성시 남양읍 남양리 126818261<NA>37.209839126.819058<NA><NA><NA><NA><NA><NA>183880.237419411985.947585<NA><NA>휴게음식점416.87<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>144<NA><NA><NA><NA><NA><NA>
735화성시피에스타PC방 (동탄2호점)영업중20160122경기도 화성시 동탄대로시범길 148-22, 701,702호 (청계동, 디스퀘어)경기도 화성시 청계동 510-842 디스퀘어 701 702호18476<NA>37.200488127.114907<NA><NA><NA><NA><NA><NA>210117.0410971.0<NA><NA>휴게음식점223.4<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전체이용가<NA><NA><NA><NA>
736화성시피에스타PC방 동탄1호점영업중20160129경기도 화성시 동탄순환대로 685, 601,602호 (영천동, 메디피아)경기도 화성시 영천동 651-1465 401호18472<NA>37.205965127.110923<NA><NA><NA><NA><NA><NA>209786.0411582.0<NA><NA>휴게음식점214.02<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전체이용가<NA><NA><NA><NA>
737화성시해피PC폐업20160714경기도 화성시 향남읍 행정중앙2로 63-9경기도 화성시 향남읍 행정리 487-418600<NA>37.130079126.921951<NA>20220919<NA><NA><NA><NA>192994.012024403147.421839<NA><NA>코인노래방216.03<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전체이용가<NA><NA><NA>상업지역
738화성시헌터PC 화성시청점직권말소20190531경기도 화성시 남양읍 역골로 23-26, 3층경기도 화성시 남양읍 남양리 2074-1718271<NA>37.201352126.826177<NA>20220510<NA><NA><NA><NA>184500.662896411070.3330530<NA>휴게음식점386.0900<NA>00.000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
739화성시헌터PC동탄능동점폐업2019-12-27경기도 화성시 동탄원천로 354-28, 이너매스 (능동)경기도 화성시 능동 1064-5 이너매스18423<NA>37.218275127.058731<NA>2022-06-22<NA><NA><NA><NA>205141.465052412932.296803<NA><NA>식품접객업313.28<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>