Overview

Dataset statistics

Number of variables9
Number of observations518
Missing cells1078
Missing cells (%)23.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory37.6 KiB
Average record size in memory74.3 B

Variable types

Text6
Numeric2
DateTime1

Dataset

Description대구광역시 달서구_노래연습장현황_20210119
Author대구광역시 달서구
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=15076545&dataSetDetailId=150765451d19cc441465b&provdMethod=FILE

Alerts

데이터기준일자 has constant value ""Constant
영업시간 has 495 (95.6%) missing valuesMissing
전화번호 has 78 (15.1%) missing valuesMissing
이용요금 has 505 (97.5%) missing valuesMissing

Reproduction

Analysis started2024-04-19 05:42:42.179014
Analysis finished2024-04-19 05:42:43.270438
Duration1.09 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

상호명
Text

Distinct426
Distinct (%)82.2%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
2024-04-19T14:42:43.424560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length20
Mean length7.4150579
Min length1

Characters and Unicode

Total characters3841
Distinct characters379
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique357 ?
Unique (%)68.9%

Sample

1st row와우동전노래연습장
2nd row세븐노래연습장
3rd row풀노래연습장
4th row풍차노래연습장
5th row케빈노래연습장
ValueCountFrequency (%)
노래연습장 13
 
2.4%
팡팡노래연습장 5
 
0.9%
벤츠노래연습장 5
 
0.9%
퀸노래연습장 5
 
0.9%
풀노래연습장 4
 
0.7%
라이브노래연습장 3
 
0.6%
show(쇼)노래연습장 3
 
0.6%
동전노래연습장 3
 
0.6%
귀빈노래연습장 3
 
0.6%
황제노래연습장 3
 
0.6%
Other values (420) 492
91.3%
2024-04-19T14:42:43.780863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
래 489
 
12.7%
노 488
 
12.7%
장 475
 
12.4%
연 475
 
12.4%
습 472
 
12.3%
스 45
 
1.2%
이 42
 
1.1%
동 36
 
0.9%
전 35
 
0.9%
코 24
 
0.6%
Other values (369) 1260
32.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3664
95.4%
Uppercase Letter 70
 
1.8%
Lowercase Letter 24
 
0.6%
Close Punctuation 22
 
0.6%
Open Punctuation 22
 
0.6%
Space Separator 21
 
0.5%
Decimal Number 15
 
0.4%
Other Punctuation 2
 
0.1%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
래 489
13.3%
노 488
13.3%
장 475
13.0%
연 475
13.0%
습 472
12.9%
스 45
 
1.2%
이 42
 
1.1%
동 36
 
1.0%
전 35
 
1.0%
코 24
 
0.7%
Other values (325) 1083
29.6%
Uppercase Letter
ValueCountFrequency (%)
O 10
14.3%
M 9
12.9%
S 8
11.4%
B 6
8.6%
H 5
 
7.1%
W 5
 
7.1%
V 4
 
5.7%
E 4
 
5.7%
N 4
 
5.7%
K 2
 
2.9%
Other values (9) 13
18.6%
Lowercase Letter
ValueCountFrequency (%)
o 3
12.5%
a 3
12.5%
y 3
12.5%
k 3
12.5%
w 2
8.3%
h 2
8.3%
s 2
8.3%
e 2
8.3%
p 1
 
4.2%
l 1
 
4.2%
Other values (2) 2
8.3%
Decimal Number
ValueCountFrequency (%)
7 4
26.7%
2 4
26.7%
0 2
13.3%
1 2
13.3%
8 1
 
6.7%
9 1
 
6.7%
5 1
 
6.7%
Other Punctuation
ValueCountFrequency (%)
& 1
50.0%
. 1
50.0%
Close Punctuation
ValueCountFrequency (%)
) 22
100.0%
Open Punctuation
ValueCountFrequency (%)
( 22
100.0%
Space Separator
ValueCountFrequency (%)
21
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3664
95.4%
Latin 95
 
2.5%
Common 82
 
2.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
래 489
13.3%
노 488
13.3%
장 475
13.0%
연 475
13.0%
습 472
12.9%
스 45
 
1.2%
이 42
 
1.1%
동 36
 
1.0%
전 35
 
1.0%
코 24
 
0.7%
Other values (325) 1083
29.6%
Latin
ValueCountFrequency (%)
O 10
 
10.5%
M 9
 
9.5%
S 8
 
8.4%
B 6
 
6.3%
H 5
 
5.3%
W 5
 
5.3%
V 4
 
4.2%
E 4
 
4.2%
N 4
 
4.2%
o 3
 
3.2%
Other values (22) 37
38.9%
Common
ValueCountFrequency (%)
) 22
26.8%
( 22
26.8%
21
25.6%
7 4
 
4.9%
2 4
 
4.9%
0 2
 
2.4%
1 2
 
2.4%
8 1
 
1.2%
9 1
 
1.2%
& 1
 
1.2%
Other values (2) 2
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3664
95.4%
ASCII 176
 
4.6%
Number Forms 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
래 489
13.3%
노 488
13.3%
장 475
13.0%
연 475
13.0%
습 472
12.9%
스 45
 
1.2%
이 42
 
1.1%
동 36
 
1.0%
전 35
 
1.0%
코 24
 
0.7%
Other values (325) 1083
29.6%
ASCII
ValueCountFrequency (%)
) 22
 
12.5%
( 22
 
12.5%
21
 
11.9%
O 10
 
5.7%
M 9
 
5.1%
S 8
 
4.5%
B 6
 
3.4%
H 5
 
2.8%
W 5
 
2.8%
V 4
 
2.3%
Other values (33) 64
36.4%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

영업소도로명소재지
Text

Distinct516
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
2024-04-19T14:42:44.081742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length38
Mean length28.84749
Min length15

Characters and Unicode

Total characters14943
Distinct characters116
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique514 ?
Unique (%)99.2%

Sample

1st row대구광역시 달서구 달구벌대로 1664, 지하1층 (감삼동)
2nd row대구광역시 달서구 당산로 193 (감삼동,(지하1층))
3rd row대구광역시 달서구 당산로 175 (감삼동,(지하1층))
4th row대구광역시 달서구 달구벌대로330길 17 (감삼동,(지상2층))
5th row대구광역시 달서구 달구벌대로330길 33 (감삼동,(지하1층))
ValueCountFrequency (%)
대구광역시 518
 
18.8%
달서구 518
 
18.8%
지하1층 75
 
2.7%
2층 54
 
2.0%
이곡동 35
 
1.3%
두류동 29
 
1.1%
상인동,(지하1층 28
 
1.0%
월배로 25
 
0.9%
상인동 23
 
0.8%
송현동 22
 
0.8%
Other values (513) 1430
51.9%
2024-04-19T14:42:44.508415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2239
 
15.0%
구 1114
 
7.5%
( 734
 
4.9%
) 734
 
4.9%
대 630
 
4.2%
서 594
 
4.0%
1 588
 
3.9%
달 586
 
3.9%
동 523
 
3.5%
광 518
 
3.5%
Other values (106) 6683
44.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8728
58.4%
Space Separator 2239
 
15.0%
Decimal Number 2035
 
13.6%
Open Punctuation 734
 
4.9%
Close Punctuation 734
 
4.9%
Other Punctuation 425
 
2.8%
Dash Punctuation 47
 
0.3%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 1114
 
12.8%
대 630
 
7.2%
서 594
 
6.8%
달 586
 
6.7%
동 523
 
6.0%
광 518
 
5.9%
역 518
 
5.9%
시 518
 
5.9%
로 497
 
5.7%
층 420
 
4.8%
Other values (89) 2810
32.2%
Decimal Number
ValueCountFrequency (%)
1 588
28.9%
2 355
17.4%
3 196
 
9.6%
4 184
 
9.0%
7 147
 
7.2%
5 136
 
6.7%
0 125
 
6.1%
6 112
 
5.5%
8 96
 
4.7%
9 96
 
4.7%
Other Punctuation
ValueCountFrequency (%)
, 423
99.5%
/ 2
 
0.5%
Space Separator
ValueCountFrequency (%)
2239
100.0%
Open Punctuation
ValueCountFrequency (%)
( 734
100.0%
Close Punctuation
ValueCountFrequency (%)
) 734
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 47
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8728
58.4%
Common 6214
41.6%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1114
 
12.8%
대 630
 
7.2%
서 594
 
6.8%
달 586
 
6.7%
동 523
 
6.0%
광 518
 
5.9%
역 518
 
5.9%
시 518
 
5.9%
로 497
 
5.7%
층 420
 
4.8%
Other values (89) 2810
32.2%
Common
ValueCountFrequency (%)
2239
36.0%
( 734
 
11.8%
) 734
 
11.8%
1 588
 
9.5%
, 423
 
6.8%
2 355
 
5.7%
3 196
 
3.2%
4 184
 
3.0%
7 147
 
2.4%
5 136
 
2.2%
Other values (6) 478
 
7.7%
Latin
ValueCountFrequency (%)
A 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8728
58.4%
ASCII 6215
41.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2239
36.0%
( 734
 
11.8%
) 734
 
11.8%
1 588
 
9.5%
, 423
 
6.8%
2 355
 
5.7%
3 196
 
3.2%
4 184
 
3.0%
7 147
 
2.4%
5 136
 
2.2%
Other values (7) 479
 
7.7%
Hangul
ValueCountFrequency (%)
구 1114
 
12.8%
대 630
 
7.2%
서 594
 
6.8%
달 586
 
6.7%
동 523
 
6.0%
광 518
 
5.9%
역 518
 
5.9%
시 518
 
5.9%
로 497
 
5.7%
층 420
 
4.8%
Other values (89) 2810
32.2%

영업소지번소재지
Text

Distinct516
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
2024-04-19T14:42:44.680335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length34
Mean length26.032819
Min length17

Characters and Unicode

Total characters13485
Distinct characters81
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique514 ?
Unique (%)99.2%

Sample

1st row대구광역시 달서구 감삼동 106-2
2nd row대구광역시 달서구 감삼동 106-3 (지하1층)
3rd row대구광역시 달서구 감삼동 107-10 (지하1층)
4th row대구광역시 달서구 감삼동 114-1 (지상2층)
5th row대구광역시 달서구 감삼동 114-6 (지하1층)
ValueCountFrequency (%)
대구광역시 518
20.4%
달서구 518
20.4%
지하1층 284
 
11.2%
2층 67
 
2.6%
상인동 65
 
2.6%
이곡동 63
 
2.5%
두류동 56
 
2.2%
송현동 49
 
1.9%
용산동 41
 
1.6%
신당동 39
 
1.5%
Other values (540) 834
32.9%
2024-04-19T14:42:44.990268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2484
18.4%
구 1037
 
7.7%
1 908
 
6.7%
대 530
 
3.9%
동 521
 
3.9%
광 519
 
3.8%
시 518
 
3.8%
달 518
 
3.8%
서 518
 
3.8%
역 518
 
3.8%
Other values (71) 5414
40.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6863
50.9%
Decimal Number 2862
21.2%
Space Separator 2484
 
18.4%
Dash Punctuation 461
 
3.4%
Close Punctuation 404
 
3.0%
Open Punctuation 404
 
3.0%
Other Punctuation 6
 
< 0.1%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 1037
15.1%
대 530
 
7.7%
동 521
 
7.6%
광 519
 
7.6%
시 518
 
7.5%
달 518
 
7.5%
서 518
 
7.5%
역 518
 
7.5%
층 432
 
6.3%
지 345
 
5.0%
Other values (54) 1407
20.5%
Decimal Number
ValueCountFrequency (%)
1 908
31.7%
2 414
14.5%
3 277
 
9.7%
4 243
 
8.5%
0 197
 
6.9%
9 186
 
6.5%
7 181
 
6.3%
5 175
 
6.1%
6 148
 
5.2%
8 133
 
4.6%
Other Punctuation
ValueCountFrequency (%)
, 4
66.7%
/ 2
33.3%
Space Separator
ValueCountFrequency (%)
2484
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 461
100.0%
Close Punctuation
ValueCountFrequency (%)
) 404
100.0%
Open Punctuation
ValueCountFrequency (%)
( 404
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6863
50.9%
Common 6621
49.1%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1037
15.1%
대 530
 
7.7%
동 521
 
7.6%
광 519
 
7.6%
시 518
 
7.5%
달 518
 
7.5%
서 518
 
7.5%
역 518
 
7.5%
층 432
 
6.3%
지 345
 
5.0%
Other values (54) 1407
20.5%
Common
ValueCountFrequency (%)
2484
37.5%
1 908
 
13.7%
- 461
 
7.0%
2 414
 
6.3%
) 404
 
6.1%
( 404
 
6.1%
3 277
 
4.2%
4 243
 
3.7%
0 197
 
3.0%
9 186
 
2.8%
Other values (6) 643
 
9.7%
Latin
ValueCountFrequency (%)
A 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6863
50.9%
ASCII 6622
49.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2484
37.5%
1 908
 
13.7%
- 461
 
7.0%
2 414
 
6.3%
) 404
 
6.1%
( 404
 
6.1%
3 277
 
4.2%
4 243
 
3.7%
0 197
 
3.0%
9 186
 
2.8%
Other values (7) 644
 
9.7%
Hangul
ValueCountFrequency (%)
구 1037
15.1%
대 530
 
7.7%
동 521
 
7.6%
광 519
 
7.6%
시 518
 
7.5%
달 518
 
7.5%
서 518
 
7.5%
역 518
 
7.5%
층 432
 
6.3%
지 345
 
5.0%
Other values (54) 1407
20.5%

영업시간
Text

MISSING 

Distinct22
Distinct (%)95.7%
Missing495
Missing (%)95.6%
Memory size4.2 KiB
2024-04-19T14:42:45.164889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length73
Median length16
Mean length21.521739
Min length13

Characters and Unicode

Total characters495
Distinct characters31
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

Unique21 ?
Unique (%)91.3%

Sample

1st row11:00 - 24:00 월화수목금토일
2nd row매일 11:00 - 02:00
3rd row매일 12:00 - 01:00
4th row매일 15:00 - 02:00
5th row매일 18:00 - 06:00 연중무휴
ValueCountFrequency (%)
29
25.0%
매일 17
14.7%
12:00 11
 
9.5%
24:00 7
 
6.0%
02:00 5
 
4.3%
01:00 5
 
4.3%
11:00 4
 
3.4%
18:00 3
 
2.6%
03:00 3
 
2.6%
평일 3
 
2.6%
Other values (21) 29
25.0%
2024-04-19T14:42:45.450449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 136
27.5%
93
18.8%
: 58
11.7%
1 40
 
8.1%
일 30
 
6.1%
- 29
 
5.9%
2 23
 
4.6%
매 17
 
3.4%
4 9
 
1.8%
3 9
 
1.8%
Other values (21) 51
 
10.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 232
46.9%
Space Separator 93
18.8%
Other Letter 75
 
15.2%
Other Punctuation 64
 
12.9%
Dash Punctuation 29
 
5.9%
Math Symbol 2
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
일 30
40.0%
매 17
22.7%
요 6
 
8.0%
평 4
 
5.3%
금 3
 
4.0%
토 3
 
4.0%
주 2
 
2.7%
말 2
 
2.7%
월 1
 
1.3%
화 1
 
1.3%
Other values (6) 6
 
8.0%
Decimal Number
ValueCountFrequency (%)
0 136
58.6%
1 40
 
17.2%
2 23
 
9.9%
4 9
 
3.9%
3 9
 
3.9%
5 5
 
2.2%
8 3
 
1.3%
6 3
 
1.3%
7 2
 
0.9%
9 2
 
0.9%
Other Punctuation
ValueCountFrequency (%)
: 58
90.6%
, 6
 
9.4%
Space Separator
ValueCountFrequency (%)
93
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 29
100.0%
Math Symbol
ValueCountFrequency (%)
+ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 420
84.8%
Hangul 75
 
15.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
일 30
40.0%
매 17
22.7%
요 6
 
8.0%
평 4
 
5.3%
금 3
 
4.0%
토 3
 
4.0%
주 2
 
2.7%
말 2
 
2.7%
월 1
 
1.3%
화 1
 
1.3%
Other values (6) 6
 
8.0%
Common
ValueCountFrequency (%)
0 136
32.4%
93
22.1%
: 58
13.8%
1 40
 
9.5%
- 29
 
6.9%
2 23
 
5.5%
4 9
 
2.1%
3 9
 
2.1%
, 6
 
1.4%
5 5
 
1.2%
Other values (5) 12
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 420
84.8%
Hangul 75
 
15.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 136
32.4%
93
22.1%
: 58
13.8%
1 40
 
9.5%
- 29
 
6.9%
2 23
 
5.5%
4 9
 
2.1%
3 9
 
2.1%
, 6
 
1.4%
5 5
 
1.2%
Other values (5) 12
 
2.9%
Hangul
ValueCountFrequency (%)
일 30
40.0%
매 17
22.7%
요 6
 
8.0%
평 4
 
5.3%
금 3
 
4.0%
토 3
 
4.0%
주 2
 
2.7%
말 2
 
2.7%
월 1
 
1.3%
화 1
 
1.3%
Other values (6) 6
 
8.0%

전화번호
Text

MISSING 

Distinct439
Distinct (%)99.8%
Missing78
Missing (%)15.1%
Memory size4.2 KiB
2024-04-19T14:42:45.704563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length8
Mean length8.75
Min length8

Characters and Unicode

Total characters3850
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique438 ?
Unique (%)99.5%

Sample

1st row553-4450
2nd row523-7080
3rd row567-1837
4th row562-6364
5th row559-9852
ValueCountFrequency (%)
053-655-5004 2
 
0.5%
521-6355 1
 
0.2%
582-8863 1
 
0.2%
553-4488 1
 
0.2%
585-8974 1
 
0.2%
585-4697 1
 
0.2%
586-3400 1
 
0.2%
583-9566 1
 
0.2%
592-1155 1
 
0.2%
521-3769 1
 
0.2%
Other values (429) 429
97.5%
2024-04-19T14:42:46.107777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 596
15.5%
- 516
13.4%
6 443
11.5%
3 397
10.3%
2 365
9.5%
8 348
9.0%
0 303
7.9%
1 252
6.5%
4 236
 
6.1%
7 222
 
5.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3334
86.6%
Dash Punctuation 516
 
13.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 596
17.9%
6 443
13.3%
3 397
11.9%
2 365
10.9%
8 348
10.4%
0 303
9.1%
1 252
7.6%
4 236
 
7.1%
7 222
 
6.7%
9 172
 
5.2%
Dash Punctuation
ValueCountFrequency (%)
- 516
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3850
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 596
15.5%
- 516
13.4%
6 443
11.5%
3 397
10.3%
2 365
9.5%
8 348
9.0%
0 303
7.9%
1 252
6.5%
4 236
 
6.1%
7 222
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3850
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 596
15.5%
- 516
13.4%
6 443
11.5%
3 397
10.3%
2 365
9.5%
8 348
9.0%
0 303
7.9%
1 252
6.5%
4 236
 
6.1%
7 222
 
5.8%

이용요금
Text

MISSING 

Distinct12
Distinct (%)92.3%
Missing505
Missing (%)97.5%
Memory size4.2 KiB
2024-04-19T14:42:46.262470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length66
Median length37
Mean length29.846154
Min length11

Characters and Unicode

Total characters388
Distinct characters30
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

Unique11 ?
Unique (%)84.6%

Sample

1st row1곡 - 500원, 3곡 - 1,000원, 35분 - 3,000원, 70분 - 5,000원, 150분 - 10,000원
2nd row시간제 30분 - 3,000원, 시간제 60분 - 5,000원
3rd row2 곡 - 500원, 4곡 - 1,000원, 1시간 - 5,000원
4th row1시간 - 20,000원
5th row3곡 - 1,000원, 15곡+서비스 2곡 - 5,000원, 30곡+서비스6곡 - 10,000원
ValueCountFrequency (%)
28
30.8%
1시간 7
 
7.7%
1,000원 6
 
6.6%
5,000원 5
 
5.5%
500원 4
 
4.4%
4곡 4
 
4.4%
3,000원 3
 
3.3%
2곡 3
 
3.3%
20,000원 2
 
2.2%
1곡 2
 
2.2%
Other values (24) 27
29.7%
2024-04-19T14:42:46.522705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 90
23.2%
78
20.1%
, 38
9.8%
- 28
 
7.2%
원 27
 
7.0%
1 22
 
5.7%
곡 15
 
3.9%
5 13
 
3.4%
시 11
 
2.8%
간 11
 
2.8%
Other values (20) 55
14.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 153
39.4%
Other Letter 89
22.9%
Space Separator 78
20.1%
Other Punctuation 38
 
9.8%
Dash Punctuation 28
 
7.2%
Math Symbol 2
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 27
30.3%
곡 15
16.9%
시 11
12.4%
간 11
12.4%
분 5
 
5.6%
방 3
 
3.4%
제 2
 
2.2%
서 2
 
2.2%
비 2
 
2.2%
스 2
 
2.2%
Other values (7) 9
 
10.1%
Decimal Number
ValueCountFrequency (%)
0 90
58.8%
1 22
 
14.4%
5 13
 
8.5%
3 10
 
6.5%
2 8
 
5.2%
4 5
 
3.3%
6 3
 
2.0%
7 1
 
0.7%
8 1
 
0.7%
Space Separator
ValueCountFrequency (%)
78
100.0%
Other Punctuation
ValueCountFrequency (%)
, 38
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 28
100.0%
Math Symbol
ValueCountFrequency (%)
+ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 299
77.1%
Hangul 89
 
22.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 27
30.3%
곡 15
16.9%
시 11
12.4%
간 11
12.4%
분 5
 
5.6%
방 3
 
3.4%
제 2
 
2.2%
서 2
 
2.2%
비 2
 
2.2%
스 2
 
2.2%
Other values (7) 9
 
10.1%
Common
ValueCountFrequency (%)
0 90
30.1%
78
26.1%
, 38
12.7%
- 28
 
9.4%
1 22
 
7.4%
5 13
 
4.3%
3 10
 
3.3%
2 8
 
2.7%
4 5
 
1.7%
6 3
 
1.0%
Other values (3) 4
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 299
77.1%
Hangul 89
 
22.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 90
30.1%
78
26.1%
, 38
12.7%
- 28
 
9.4%
1 22
 
7.4%
5 13
 
4.3%
3 10
 
3.3%
2 8
 
2.7%
4 5
 
1.7%
6 3
 
1.0%
Other values (3) 4
 
1.3%
Hangul
ValueCountFrequency (%)
원 27
30.3%
곡 15
16.9%
시 11
12.4%
간 11
12.4%
분 5
 
5.6%
방 3
 
3.4%
제 2
 
2.2%
서 2
 
2.2%
비 2
 
2.2%
스 2
 
2.2%
Other values (7) 9
 
10.1%

위도
Real number (ℝ)

Distinct495
Distinct (%)95.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.839984
Minimum35.801931
Maximum35.862148
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2024-04-19T14:42:46.649778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.801931
5-th percentile35.808684
Q135.826069
median35.843681
Q335.855129
95-th percentile35.858526
Maximum35.862148
Range0.06021782
Interquartile range (IQR)0.029059365

Descriptive statistics

Standard deviation0.01748122
Coefficient of variation (CV)0.00048775747
Kurtosis-1.0440391
Mean35.839984
Median Absolute Deviation (MAD)0.01183778
Skewness-0.64846889
Sum18565.112
Variance0.00030559305
MonotonicityNot monotonic
2024-04-19T14:42:46.784446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.81791126 3
 
0.6%
35.83672329 2
 
0.4%
35.85772574 2
 
0.4%
35.85497187 2
 
0.4%
35.85478342 2
 
0.4%
35.85496251 2
 
0.4%
35.8079343 2
 
0.4%
35.85855137 2
 
0.4%
35.85586472 2
 
0.4%
35.85605088 2
 
0.4%
Other values (485) 497
95.9%
ValueCountFrequency (%)
35.80193066 1
0.2%
35.80571222 1
0.2%
35.80697431 1
0.2%
35.80702145 1
0.2%
35.80724642 1
0.2%
35.80726538 1
0.2%
35.80728434 1
0.2%
35.80752454 1
0.2%
35.80754292 1
0.2%
35.8075436 1
0.2%
ValueCountFrequency (%)
35.86214848 1
0.2%
35.86207274 1
0.2%
35.86194619 1
0.2%
35.86150444 1
0.2%
35.86142533 1
0.2%
35.86126875 1
0.2%
35.86104668 1
0.2%
35.86103864 1
0.2%
35.86088208 1
0.2%
35.85993465 1
0.2%

경도
Real number (ℝ)

Distinct495
Distinct (%)95.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.52957
Minimum128.47653
Maximum128.57423
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2024-04-19T14:42:46.919426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.47653
5-th percentile128.49055
Q1128.50999
median128.53414
Q3128.54755
95-th percentile128.5592
Maximum128.57423
Range0.0977
Interquartile range (IQR)0.037556525

Descriptive statistics

Standard deviation0.022377761
Coefficient of variation (CV)0.00017410594
Kurtosis-0.68985664
Mean128.52957
Median Absolute Deviation (MAD)0.0149309
Skewness-0.40016112
Sum66578.316
Variance0.00050076418
MonotonicityNot monotonic
2024-04-19T14:42:47.051338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.5402856 3
 
0.6%
128.5557884 2
 
0.4%
128.5213576 2
 
0.4%
128.5526057 2
 
0.4%
128.5524272 2
 
0.4%
128.509991 2
 
0.4%
128.5360906 2
 
0.4%
128.532424 2
 
0.4%
128.5076607 2
 
0.4%
128.4933018 2
 
0.4%
Other values (485) 497
95.9%
ValueCountFrequency (%)
128.4765269 1
0.2%
128.4769945 1
0.2%
128.4774129 1
0.2%
128.4775679 1
0.2%
128.4777892 1
0.2%
128.4850936 1
0.2%
128.4850976 1
0.2%
128.4852968 1
0.2%
128.4855486 1
0.2%
128.4855675 1
0.2%
ValueCountFrequency (%)
128.5742269 1
0.2%
128.5741128 1
0.2%
128.5740362 1
0.2%
128.5738 1
0.2%
128.573775 1
0.2%
128.5735305 1
0.2%
128.5731042 1
0.2%
128.5722494 1
0.2%
128.5718475 1
0.2%
128.5718281 1
0.2%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
Minimum2021-01-19 00:00:00
Maximum2021-01-19 00:00:00
2024-04-19T14:42:47.151939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-19T14:42:47.230884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-04-19T14:42:42.755387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-19T14:42:42.582363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-19T14:42:42.862082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-19T14:42:42.669515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-19T14:42:47.299981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
영업시간이용요금위도경도
영업시간1.0000.9500.8800.000
이용요금0.9501.0000.0000.822
위도0.8800.0001.0000.740
경도0.0000.8220.7401.000
2024-04-19T14:42:47.387031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도
위도1.000-0.205
경도-0.2051.000

Missing values

2024-04-19T14:42:42.994189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-19T14:42:43.120051image/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.
2024-04-19T14:42:43.220061image/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

상호명영업소도로명소재지영업소지번소재지영업시간전화번호이용요금위도경도데이터기준일자
0와우동전노래연습장대구광역시 달서구 달구벌대로 1664, 지하1층 (감삼동)대구광역시 달서구 감삼동 106-2<NA><NA>1곡 - 500원, 3곡 - 1,000원, 35분 - 3,000원, 70분 - 5,000원, 150분 - 10,000원35.853893128.5480482021-01-19
1세븐노래연습장대구광역시 달서구 당산로 193 (감삼동,(지하1층))대구광역시 달서구 감삼동 106-3 (지하1층)<NA>553-4450<NA>35.853749128.5481022021-01-19
2풀노래연습장대구광역시 달서구 당산로 175 (감삼동,(지하1층))대구광역시 달서구 감삼동 107-10 (지하1층)<NA>523-7080<NA>35.852332128.5484252021-01-19
3풍차노래연습장대구광역시 달서구 달구벌대로330길 17 (감삼동,(지상2층))대구광역시 달서구 감삼동 114-1 (지상2층)<NA>567-1837<NA>35.852576128.5464112021-01-19
4케빈노래연습장대구광역시 달서구 달구벌대로330길 33 (감삼동,(지하1층))대구광역시 달서구 감삼동 114-6 (지하1층)<NA>562-6364<NA>35.851908128.5466392021-01-19
5달무리노래연습장대구광역시 달서구 달구벌대로330길 47 (감삼동,(지하1층))대구광역시 달서구 감삼동 117-23 (지하1층)<NA>559-9852<NA>35.851268128.546592021-01-19
6정원노래연습장대구광역시 달서구 감삼북길 93, 지하1층 (감삼동)대구광역시 달서구 감삼동 135-6 (지하1층)<NA>557-6623<NA>35.851822128.5436162021-01-19
7미소노래연습장대구광역시 달서구 감삼북길 149 (감삼동,(2층))대구광역시 달서구 감삼동 139-27 (2층)<NA>553-1116<NA>35.8506128.5409512021-01-19
8왔다노래연습장대구광역시 달서구 감삼북길 149 (감삼동,(지하1층))대구광역시 달서구 감삼동 139-27 (지하1층)<NA>566-1780<NA>35.8506128.5409512021-01-19
9붐 노래연습장대구광역시 달서구 달구벌대로 1580 (감삼동,(지하1층))대구광역시 달서구 감삼동 140-32 (지하1층)<NA>554-8056<NA>35.850758128.5398232021-01-19
상호명영업소도로명소재지영업소지번소재지영업시간전화번호이용요금위도경도데이터기준일자
508필승대구광역시 달서구 호산동로 173 (호산동,(지하1층))대구광역시 달서구 호산동 382 (지하1층)<NA>584-4409<NA>35.850593128.4855742021-01-19
509오빠노래연습장대구광역시 달서구 호산동로 167-1 (호산동,(2층))대구광역시 달서구 호산동 382-5 (2층)<NA>588-7958<NA>35.85026128.4855942021-01-19
510빅노래연습장대구광역시 달서구 성서공단로11길 70-10, 1층 (호산동)대구광역시 달서구 호산동 712-5 (1층)<NA>588-8895<NA>35.841259128.4892252021-01-19
511천사노래연습장대구광역시 달서구 성서공단로11길 70-14, 2층 (호산동)대구광역시 달서구 호산동 712-7 (2층)매일 19:00 - 06:00592-2235<NA>35.841248128.4895792021-01-19
512위드 노래연습장대구광역시 달서구 성서공단로11길 70-13, 2층 (호산동)대구광역시 달서구 호산동 713-10 (2층)<NA>565-5110<NA>35.8416128.4895812021-01-19
513스카이 노래연습장대구광역시 달서구 성서공단로11길 70-15, 2층 (호산동)대구광역시 달서구 호산동 713-8 (2층)<NA>582-2505<NA>35.841599128.4898362021-01-19
514별궁노래연습장대구광역시 달서구 성서공단로11길 78, 2층 (호산동)대구광역시 달서구 호산동 714-11 (2층)<NA>591-5758<NA>35.842173128.4883122021-01-19
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