Overview

Dataset statistics

Number of variables7
Number of observations399
Missing cells12
Missing cells (%)0.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory21.9 KiB
Average record size in memory56.3 B

Variable types

Categorical1
Text5
DateTime1

Dataset

Description경기도 시흥시 음악산업현황입니다(경기도 시흥시 음악산업현황에는 업종명, 등록(신고)번호, 등록(신고)일자, 상호, 영업소소재지(도로명), 영업소소재지(지번), 청소년실유무 가 있습니다)
URLhttps://www.data.go.kr/data/15104303/fileData.do

Alerts

업종명 is highly imbalanced (97.5%)Imbalance
청소년실(유,무) has 7 (1.8%) missing valuesMissing

Reproduction

Analysis started2023-12-12 02:52:12.467016
Analysis finished2023-12-12 02:52:13.326286
Duration0.86 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
노래연습장업
398 
<NA>
 
1

Length

Max length6
Median length6
Mean length5.9949875
Min length4

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
노래연습장업 398
99.7%
<NA> 1
 
0.3%

Length

2023-12-12T11:52:13.701061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:52:13.810198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
노래연습장업 398
99.7%
na 1
 
0.3%

등록(신고)번호
Text

Distinct398
Distinct (%)100.0%
Missing1
Missing (%)0.3%
Memory size3.2 KiB
2023-12-12T11:52:13.992492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length18
Mean length18
Min length18

Characters and Unicode

Total characters7164
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

Unique398 ?
Unique (%)100.0%

Sample

1st row 24106-2016-000001
2nd row 24106-2022-000001
3rd row 24106-2022-000002
4th row 24110-2015-000001
5th row 24110-2016-000001
ValueCountFrequency (%)
24106-2016-000001 1
 
0.3%
24205-2012-000015 1
 
0.3%
24205-2012-000011 1
 
0.3%
24205-2012-000010 1
 
0.3%
24205-2012-000008 1
 
0.3%
24205-2012-000007 1
 
0.3%
24205-2012-000006 1
 
0.3%
24205-2012-000004 1
 
0.3%
24205-2012-000003 1
 
0.3%
24205-2012-000002 1
 
0.3%
Other values (388) 388
97.5%
2023-12-12T11:52:14.256939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2727
38.1%
2 1312
18.3%
- 796
 
11.1%
4 495
 
6.9%
5 472
 
6.6%
1 411
 
5.7%
398
 
5.6%
9 186
 
2.6%
3 137
 
1.9%
8 89
 
1.2%
Other values (2) 141
 
2.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5970
83.3%
Dash Punctuation 796
 
11.1%
Space Separator 398
 
5.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2727
45.7%
2 1312
22.0%
4 495
 
8.3%
5 472
 
7.9%
1 411
 
6.9%
9 186
 
3.1%
3 137
 
2.3%
8 89
 
1.5%
7 74
 
1.2%
6 67
 
1.1%
Dash Punctuation
ValueCountFrequency (%)
- 796
100.0%
Space Separator
ValueCountFrequency (%)
398
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7164
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2727
38.1%
2 1312
18.3%
- 796
 
11.1%
4 495
 
6.9%
5 472
 
6.6%
1 411
 
5.7%
398
 
5.6%
9 186
 
2.6%
3 137
 
1.9%
8 89
 
1.2%
Other values (2) 141
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7164
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2727
38.1%
2 1312
18.3%
- 796
 
11.1%
4 495
 
6.9%
5 472
 
6.6%
1 411
 
5.7%
398
 
5.6%
9 186
 
2.6%
3 137
 
1.9%
8 89
 
1.2%
Other values (2) 141
 
2.0%

등록(신고)일자
Date

Distinct364
Distinct (%)91.5%
Missing1
Missing (%)0.3%
Memory size3.2 KiB
Minimum1992-10-20 00:00:00
Maximum2023-08-04 00:00:00
2023-12-12T11:52:14.392429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:52:14.510732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

상호
Text

Distinct324
Distinct (%)81.4%
Missing1
Missing (%)0.3%
Memory size3.2 KiB
2023-12-12T11:52:14.747582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length20
Mean length8.0979899
Min length6

Characters and Unicode

Total characters3223
Distinct characters328
Distinct categories8 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique280 ?
Unique (%)70.4%

Sample

1st row무비바이러스
2nd row건유의 음악 공방
3rd row(주)위너존엔터테인먼트
4th row(주)웨이브 스토리
5th row롯데쇼핑(주)롯데마트 시흥배곧점
ValueCountFrequency (%)
노래연습장 114
 
21.5%
스타노래연습장 7
 
1.3%
샾노래연습장 7
 
1.3%
명품노래연습장 6
 
1.1%
팡팡노래연습장 5
 
0.9%
세븐스타코인노래연습장 4
 
0.8%
코인노래연습장 4
 
0.8%
황제노래연습장 4
 
0.8%
궁노래연습장 4
 
0.8%
짱노래연습장 3
 
0.6%
Other values (325) 372
70.2%
2023-12-12T11:52:15.103424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
래 401
12.4%
연 395
12.3%
장 394
12.2%
노 392
 
12.2%
습 392
 
12.2%
132
 
4.1%
스 38
 
1.2%
인 37
 
1.1%
코 37
 
1.1%
이 21
 
0.7%
Other values (318) 984
30.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3013
93.5%
Space Separator 132
 
4.1%
Uppercase Letter 49
 
1.5%
Decimal Number 10
 
0.3%
Lowercase Letter 8
 
0.2%
Open Punctuation 5
 
0.2%
Close Punctuation 5
 
0.2%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
래 401
13.3%
연 395
13.1%
장 394
13.1%
노 392
13.0%
습 392
13.0%
스 38
 
1.3%
인 37
 
1.2%
코 37
 
1.2%
이 21
 
0.7%
타 20
 
0.7%
Other values (282) 886
29.4%
Uppercase Letter
ValueCountFrequency (%)
K 6
12.2%
O 5
10.2%
S 5
10.2%
V 4
 
8.2%
P 4
 
8.2%
I 3
 
6.1%
J 3
 
6.1%
B 3
 
6.1%
C 3
 
6.1%
T 2
 
4.1%
Other values (9) 11
22.4%
Lowercase Letter
ValueCountFrequency (%)
m 1
12.5%
p 1
12.5%
o 1
12.5%
t 1
12.5%
r 1
12.5%
a 1
12.5%
n 1
12.5%
y 1
12.5%
Decimal Number
ValueCountFrequency (%)
2 4
40.0%
9 3
30.0%
8 1
 
10.0%
5 1
 
10.0%
3 1
 
10.0%
Space Separator
ValueCountFrequency (%)
132
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3010
93.4%
Common 153
 
4.7%
Latin 57
 
1.8%
Han 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
래 401
13.3%
연 395
13.1%
장 394
13.1%
노 392
13.0%
습 392
13.0%
스 38
 
1.3%
인 37
 
1.2%
코 37
 
1.2%
이 21
 
0.7%
타 20
 
0.7%
Other values (279) 883
29.3%
Latin
ValueCountFrequency (%)
K 6
 
10.5%
O 5
 
8.8%
S 5
 
8.8%
V 4
 
7.0%
P 4
 
7.0%
I 3
 
5.3%
J 3
 
5.3%
B 3
 
5.3%
C 3
 
5.3%
T 2
 
3.5%
Other values (17) 19
33.3%
Common
ValueCountFrequency (%)
132
86.3%
( 5
 
3.3%
) 5
 
3.3%
2 4
 
2.6%
9 3
 
2.0%
8 1
 
0.7%
& 1
 
0.7%
5 1
 
0.7%
3 1
 
0.7%
Han
ValueCountFrequency (%)
酒 1
33.3%
点 1
33.3%
半 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3010
93.4%
ASCII 210
 
6.5%
CJK 3
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
래 401
13.3%
연 395
13.1%
장 394
13.1%
노 392
13.0%
습 392
13.0%
스 38
 
1.3%
인 37
 
1.2%
코 37
 
1.2%
이 21
 
0.7%
타 20
 
0.7%
Other values (279) 883
29.3%
ASCII
ValueCountFrequency (%)
132
62.9%
K 6
 
2.9%
( 5
 
2.4%
) 5
 
2.4%
O 5
 
2.4%
S 5
 
2.4%
2 4
 
1.9%
V 4
 
1.9%
P 4
 
1.9%
9 3
 
1.4%
Other values (26) 37
 
17.6%
CJK
ValueCountFrequency (%)
酒 1
33.3%
点 1
33.3%
半 1
33.3%

영업소소재지(도로명)
Text

Distinct398
Distinct (%)100.0%
Missing1
Missing (%)0.3%
Memory size3.2 KiB
2023-12-12T11:52:15.393325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length64
Median length54
Mean length30.713568
Min length20

Characters and Unicode

Total characters12224
Distinct characters212
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

Unique398 ?
Unique (%)100.0%

Sample

1st row경기도 시흥시 미산로100번길 11, 101동 902호 (미산동)
2nd row경기도 시흥시 인선길 79, 매꼴마을삼성아파트 상가동 2층 208호 (장곡동)
3rd row경기도 시흥시 서울대학로264번길 26-12, 배곧에토스 3층 제301~306호 (배곧동)
4th row경기도 시흥시 월곶해안로 145, 6층 601호 (월곶동)
5th row경기도 시흥시 서울대학로278번길 67, 2층 (정왕동, 롯데마트(시흥배곧점))
ValueCountFrequency (%)
경기도 398
 
16.9%
시흥시 398
 
16.9%
정왕동 66
 
2.8%
2층 33
 
1.4%
3층 28
 
1.2%
배곧동 26
 
1.1%
신천동 23
 
1.0%
정왕천로411번길 22
 
0.9%
오이도로 20
 
0.9%
정왕동,3층 18
 
0.8%
Other values (619) 1317
56.1%
2023-12-12T11:52:15.859663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1977
 
16.2%
시 829
 
6.8%
1 505
 
4.1%
) 462
 
3.8%
( 462
 
3.8%
도 433
 
3.5%
, 425
 
3.5%
동 418
 
3.4%
흥 411
 
3.4%
기 410
 
3.4%
Other values (202) 5892
48.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6612
54.1%
Decimal Number 2179
 
17.8%
Space Separator 1977
 
16.2%
Close Punctuation 462
 
3.8%
Open Punctuation 462
 
3.8%
Other Punctuation 426
 
3.5%
Dash Punctuation 89
 
0.7%
Uppercase Letter 9
 
0.1%
Lowercase Letter 6
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 829
 
12.5%
도 433
 
6.5%
동 418
 
6.3%
흥 411
 
6.2%
기 410
 
6.2%
경 399
 
6.0%
로 313
 
4.7%
층 292
 
4.4%
길 240
 
3.6%
왕 220
 
3.3%
Other values (178) 2647
40.0%
Decimal Number
ValueCountFrequency (%)
1 505
23.2%
2 401
18.4%
3 329
15.1%
0 211
9.7%
4 204
9.4%
5 149
 
6.8%
6 122
 
5.6%
8 91
 
4.2%
7 86
 
3.9%
9 81
 
3.7%
Lowercase Letter
ValueCountFrequency (%)
r 2
33.3%
e 2
33.3%
a 1
16.7%
c 1
16.7%
Uppercase Letter
ValueCountFrequency (%)
M 5
55.6%
B 3
33.3%
T 1
 
11.1%
Other Punctuation
ValueCountFrequency (%)
, 425
99.8%
. 1
 
0.2%
Space Separator
ValueCountFrequency (%)
1977
100.0%
Close Punctuation
ValueCountFrequency (%)
) 462
100.0%
Open Punctuation
ValueCountFrequency (%)
( 462
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 89
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6612
54.1%
Common 5597
45.8%
Latin 15
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 829
 
12.5%
도 433
 
6.5%
동 418
 
6.3%
흥 411
 
6.2%
기 410
 
6.2%
경 399
 
6.0%
로 313
 
4.7%
층 292
 
4.4%
길 240
 
3.6%
왕 220
 
3.3%
Other values (178) 2647
40.0%
Common
ValueCountFrequency (%)
1977
35.3%
1 505
 
9.0%
) 462
 
8.3%
( 462
 
8.3%
, 425
 
7.6%
2 401
 
7.2%
3 329
 
5.9%
0 211
 
3.8%
4 204
 
3.6%
5 149
 
2.7%
Other values (7) 472
 
8.4%
Latin
ValueCountFrequency (%)
M 5
33.3%
B 3
20.0%
r 2
 
13.3%
e 2
 
13.3%
a 1
 
6.7%
c 1
 
6.7%
T 1
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6612
54.1%
ASCII 5612
45.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1977
35.2%
1 505
 
9.0%
) 462
 
8.2%
( 462
 
8.2%
, 425
 
7.6%
2 401
 
7.1%
3 329
 
5.9%
0 211
 
3.8%
4 204
 
3.6%
5 149
 
2.7%
Other values (14) 487
 
8.7%
Hangul
ValueCountFrequency (%)
시 829
 
12.5%
도 433
 
6.5%
동 418
 
6.3%
흥 411
 
6.2%
기 410
 
6.2%
경 399
 
6.0%
로 313
 
4.7%
층 292
 
4.4%
길 240
 
3.6%
왕 220
 
3.3%
Other values (178) 2647
40.0%

영업소소재지(지번)
Text

Distinct387
Distinct (%)97.2%
Missing1
Missing (%)0.3%
Memory size3.2 KiB
2023-12-12T11:52:16.216029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length35
Mean length23.263819
Min length16

Characters and Unicode

Total characters9259
Distinct characters175
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique378 ?
Unique (%)95.0%

Sample

1st row경기도 시흥시 미산동 350 해가든더클래식 아파트 101동 902호
2nd row경기도 시흥시 장곡동 805 매꼴마을삼성아파트
3rd row경기도 시흥시 배곧동 223-2 배곧에토스
4th row경기도 시흥시 월곶동 1013-15
5th row경기도 시흥시 정왕동 1771-1
ValueCountFrequency (%)
경기도 398
19.9%
시흥시 398
19.9%
정왕동 174
 
8.7%
2층 62
 
3.1%
신천동 46
 
2.3%
3층 41
 
2.1%
월곶동 33
 
1.7%
대야동 28
 
1.4%
배곧동 26
 
1.3%
지층 26
 
1.3%
Other values (533) 768
38.4%
2023-12-12T11:52:16.703601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1961
21.2%
시 804
 
8.7%
1 591
 
6.4%
흥 404
 
4.4%
동 402
 
4.3%
도 401
 
4.3%
기 399
 
4.3%
경 398
 
4.3%
- 353
 
3.8%
2 352
 
3.8%
Other values (165) 3194
34.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4495
48.5%
Decimal Number 2289
24.7%
Space Separator 1961
21.2%
Dash Punctuation 353
 
3.8%
Open Punctuation 65
 
0.7%
Close Punctuation 65
 
0.7%
Other Punctuation 15
 
0.2%
Uppercase Letter 10
 
0.1%
Lowercase Letter 6
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 804
17.9%
흥 404
 
9.0%
동 402
 
8.9%
도 401
 
8.9%
기 399
 
8.9%
경 398
 
8.9%
층 214
 
4.8%
왕 174
 
3.9%
정 174
 
3.9%
지 95
 
2.1%
Other values (143) 1030
22.9%
Decimal Number
ValueCountFrequency (%)
1 591
25.8%
2 352
15.4%
3 228
 
10.0%
0 227
 
9.9%
7 194
 
8.5%
4 181
 
7.9%
5 148
 
6.5%
8 131
 
5.7%
9 122
 
5.3%
6 115
 
5.0%
Lowercase Letter
ValueCountFrequency (%)
r 2
33.3%
e 2
33.3%
a 1
16.7%
c 1
16.7%
Uppercase Letter
ValueCountFrequency (%)
M 5
50.0%
B 4
40.0%
T 1
 
10.0%
Space Separator
ValueCountFrequency (%)
1961
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 353
100.0%
Open Punctuation
ValueCountFrequency (%)
( 65
100.0%
Close Punctuation
ValueCountFrequency (%)
) 65
100.0%
Other Punctuation
ValueCountFrequency (%)
, 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4748
51.3%
Hangul 4495
48.5%
Latin 16
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 804
17.9%
흥 404
 
9.0%
동 402
 
8.9%
도 401
 
8.9%
기 399
 
8.9%
경 398
 
8.9%
층 214
 
4.8%
왕 174
 
3.9%
정 174
 
3.9%
지 95
 
2.1%
Other values (143) 1030
22.9%
Common
ValueCountFrequency (%)
1961
41.3%
1 591
 
12.4%
- 353
 
7.4%
2 352
 
7.4%
3 228
 
4.8%
0 227
 
4.8%
7 194
 
4.1%
4 181
 
3.8%
5 148
 
3.1%
8 131
 
2.8%
Other values (5) 382
 
8.0%
Latin
ValueCountFrequency (%)
M 5
31.2%
B 4
25.0%
r 2
 
12.5%
e 2
 
12.5%
T 1
 
6.2%
a 1
 
6.2%
c 1
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4764
51.5%
Hangul 4495
48.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1961
41.2%
1 591
 
12.4%
- 353
 
7.4%
2 352
 
7.4%
3 228
 
4.8%
0 227
 
4.8%
7 194
 
4.1%
4 181
 
3.8%
5 148
 
3.1%
8 131
 
2.7%
Other values (12) 398
 
8.4%
Hangul
ValueCountFrequency (%)
시 804
17.9%
흥 404
 
9.0%
동 402
 
8.9%
도 401
 
8.9%
기 399
 
8.9%
경 398
 
8.9%
층 214
 
4.8%
왕 174
 
3.9%
정 174
 
3.9%
지 95
 
2.1%
Other values (143) 1030
22.9%

청소년실(유,무)
Text

MISSING 

Distinct77
Distinct (%)19.6%
Missing7
Missing (%)1.8%
Memory size3.2 KiB
2023-12-12T11:52:16.904793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length8
Mean length11.27551
Min length7

Characters and Unicode

Total characters4420
Distinct characters22
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique36 ?
Unique (%)9.2%

Sample

1st row무-총실수(1)
2nd row무-총실수(7)
3rd row무-총실수(4)
4th row유-총실수(5) 청소년실수(3)
5th row무-총실수(5)
ValueCountFrequency (%)
무-총실수(5 71
 
13.2%
청소년실수 60
 
11.2%
무-총실수(6 47
 
8.8%
무-총실수(1 31
 
5.8%
무-총실수(4 28
 
5.2%
청소년실수(1 28
 
5.2%
유-총실수(5 24
 
4.5%
유-총실수(6 20
 
3.7%
청소년실수(2 20
 
3.7%
무-총실수(7 19
 
3.5%
Other values (51) 189
35.2%
2023-12-12T11:52:17.231190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
실 537
12.1%
수 537
12.1%
( 537
12.1%
) 537
12.1%
총 392
8.9%
- 392
8.9%
무 247
 
5.6%
청 145
 
3.3%
년 145
 
3.3%
소 145
 
3.3%
Other values (12) 806
18.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2293
51.9%
Open Punctuation 537
 
12.1%
Close Punctuation 537
 
12.1%
Decimal Number 516
 
11.7%
Dash Punctuation 392
 
8.9%
Space Separator 145
 
3.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 110
21.3%
5 104
20.2%
6 76
14.7%
2 63
12.2%
7 40
 
7.8%
4 36
 
7.0%
3 25
 
4.8%
8 24
 
4.7%
9 23
 
4.5%
0 15
 
2.9%
Other Letter
ValueCountFrequency (%)
실 537
23.4%
수 537
23.4%
총 392
17.1%
무 247
10.8%
청 145
 
6.3%
년 145
 
6.3%
소 145
 
6.3%
유 145
 
6.3%
Open Punctuation
ValueCountFrequency (%)
( 537
100.0%
Close Punctuation
ValueCountFrequency (%)
) 537
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 392
100.0%
Space Separator
ValueCountFrequency (%)
145
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2293
51.9%
Common 2127
48.1%

Most frequent character per script

Common
ValueCountFrequency (%)
( 537
25.2%
) 537
25.2%
- 392
18.4%
145
 
6.8%
1 110
 
5.2%
5 104
 
4.9%
6 76
 
3.6%
2 63
 
3.0%
7 40
 
1.9%
4 36
 
1.7%
Other values (4) 87
 
4.1%
Hangul
ValueCountFrequency (%)
실 537
23.4%
수 537
23.4%
총 392
17.1%
무 247
10.8%
청 145
 
6.3%
년 145
 
6.3%
소 145
 
6.3%
유 145
 
6.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2293
51.9%
ASCII 2127
48.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
실 537
23.4%
수 537
23.4%
총 392
17.1%
무 247
10.8%
청 145
 
6.3%
년 145
 
6.3%
소 145
 
6.3%
유 145
 
6.3%
ASCII
ValueCountFrequency (%)
( 537
25.2%
) 537
25.2%
- 392
18.4%
145
 
6.8%
1 110
 
5.2%
5 104
 
4.9%
6 76
 
3.6%
2 63
 
3.0%
7 40
 
1.9%
4 36
 
1.7%
Other values (4) 87
 
4.1%

Correlations

2023-12-12T11:52:17.315467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
청소년실(유,무)
청소년실(유,무)1.000

Missing values

2023-12-12T11:52:12.985506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T11:52:13.104110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2023-12-12T11:52:13.229310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

업종명등록(신고)번호등록(신고)일자상호영업소소재지(도로명)영업소소재지(지번)청소년실(유,무)
0노래연습장업24106-2016-0000012016-09-13무비바이러스경기도 시흥시 미산로100번길 11, 101동 902호 (미산동)경기도 시흥시 미산동 350 해가든더클래식 아파트 101동 902호<NA>
1노래연습장업24106-2022-0000012022-05-25건유의 음악 공방경기도 시흥시 인선길 79, 매꼴마을삼성아파트 상가동 2층 208호 (장곡동)경기도 시흥시 장곡동 805 매꼴마을삼성아파트<NA>
2노래연습장업24106-2022-0000022021-06-22(주)위너존엔터테인먼트경기도 시흥시 서울대학로264번길 26-12, 배곧에토스 3층 제301~306호 (배곧동)경기도 시흥시 배곧동 223-2 배곧에토스<NA>
3노래연습장업24110-2015-0000012015-06-25(주)웨이브 스토리경기도 시흥시 월곶해안로 145, 6층 601호 (월곶동)경기도 시흥시 월곶동 1013-15<NA>
4노래연습장업24110-2016-0000012016-11-28롯데쇼핑(주)롯데마트 시흥배곧점경기도 시흥시 서울대학로278번길 67, 2층 (정왕동, 롯데마트(시흥배곧점))경기도 시흥시 정왕동 1771-1<NA>
5노래연습장업24110-2022-0000012022-11-14더블유아트컴퍼니(WArtCompany)경기도 시흥시 시흥대로268번길 75, 1402동 7층 704호 (능곡동, 우남퍼스트빌)경기도 시흥시 능곡동 802 우남퍼스트빌<NA>
6노래연습장업24205-1992-0000011992-10-20황진이노래연습장경기도 시흥시 뱀내장터로 12 (신천동,지1층)경기도 시흥시 신천동 707-51 지1층무-총실수(1)
7노래연습장업24205-1993-0000011993-09-17탑노래연습장경기도 시흥시 신천2길 25 (신천동)경기도 시흥시 신천동 751-25무-총실수(7)
8노래연습장업24205-1993-0000041993-02-08샾노래연습장경기도 시흥시 동서로 1111 (논곡동,외1필지 지하1층)경기도 시흥시 논곡동 148-14 외1필지 지하1층무-총실수(4)
9노래연습장업24205-1994-0000011994-05-06명월 노래연습장경기도 시흥시 삼미시장4길 21, 2층 (신천동)경기도 시흥시 신천동 756-6유-총실수(5) 청소년실수(3)
업종명등록(신고)번호등록(신고)일자상호영업소소재지(도로명)영업소소재지(지번)청소년실(유,무)
389노래연습장업24205-2023-0000052023-03-21똥광노래연습장경기도 시흥시 거북섬둘레길 1, 6층 605호 (정왕동)경기도 시흥시 정왕동 2706-12 (주)지뜨무-총실수(3)
390노래연습장업24205-2023-0000062023-03-22신나쏭코인노래연습장경기도 시흥시 능곡군자로 54, 2층 206호 (능곡동)경기도 시흥시 능곡동 211-1유-총실수(16) 청소년실수(16)
391노래연습장업24205-2023-0000072023-04-10별노래연습장경기도 시흥시 거북섬둘레길 5-14, 505호 (정왕동)경기도 시흥시 정왕동 2707무-총실수(2)
392노래연습장업24205-2023-0000082023-05-04판타스틱코인노래연습장경기도 시흥시 황고개로 531, 204호 (장곡동)경기도 시흥시 장곡동 895-5유-총실수(12) 청소년실수()
393노래연습장업24205-2023-0000092023-06-13별밤노래연습장경기도 시흥시 능곡번영길 30, 301, 302호 (능곡동)경기도 시흥시 능곡동 898-5유-총실수(8) 청소년실수(1)
394노래연습장업24205-2023-0000102023-07-21팡팡코인노래연습장경기도 시흥시 은계중앙로 250, 301, 302, 303호 (은행동)경기도 시흥시 은행동 608-3유-총실수(17) 청소년실수(17)
395노래연습장업24205-2023-0000112023-07-27악쓰는하마 코인노래연습장 배곧점경기도 시흥시 배곧3로 96, M-플러스 2층 202호 (배곧동)경기도 시흥시 배곧동 199-1 M-플러스유-총실수(34) 청소년실수()
396노래연습장업24205-2023-0000122023-07-27오렌지노래연습장경기도 시흥시 서울대학로278번길 26, 시흥배곧 아브뉴프랑 센트럴 오렌지 2층 233, 234호 (배곧동)경기도 시흥시 배곧동 215 시흥배곧 아브뉴프랑 센트럴 오렌지유-총실수(10) 청소년실수()
397노래연습장업24205-2023-0000132023-08-04팝싱어노래연습장경기도 시흥시 서울대학로278번길 26, 시흥배곧 아브뉴프랑 센트럴 오렌지 227, 228호 (배곧동)경기도 시흥시 배곧동 215 시흥배곧 아브뉴프랑 센트럴 오렌지유-총실수(15) 청소년실수()
398<NA><NA><NA><NA><NA><NA><NA>