Overview

Dataset statistics

Number of variables6
Number of observations3248
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory158.7 KiB
Average record size in memory50.0 B

Variable types

Numeric2
Text4

Dataset

Description국악방송에서 매년 제작하는 신규 국악 음원의 이름과 연주자, 연주시간 등을 담은 정보입니다. 해당 데이터는 국악방송 역대 제작된 새음원 음원목록을 담고있습니다.
Author재단법인국악방송
URLhttps://www.data.go.kr/data/15040300/fileData.do

Alerts

연번 is highly overall correlated with 트랙번호High correlation
트랙번호 is highly overall correlated with 연번High correlation
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 03:28:59.973710
Analysis finished2023-12-12 03:29:01.972042
Duration2 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct3248
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2145.0329
Minimum1
Maximum5032
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size28.7 KiB
2023-12-12T12:29:02.076725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile163.35
Q1812.75
median1885.5
Q33346.25
95-th percentile4741.65
Maximum5032
Range5031
Interquartile range (IQR)2533.5

Descriptive statistics

Standard deviation1449.7199
Coefficient of variation (CV)0.67584969
Kurtosis-1.0232447
Mean2145.0329
Median Absolute Deviation (MAD)1216.5
Skewness0.34554933
Sum6967067
Variance2101687.7
MonotonicityStrictly increasing
2023-12-12T12:29:02.246202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
2834 1
 
< 0.1%
2824 1
 
< 0.1%
2825 1
 
< 0.1%
2826 1
 
< 0.1%
2827 1
 
< 0.1%
2828 1
 
< 0.1%
2829 1
 
< 0.1%
2830 1
 
< 0.1%
2831 1
 
< 0.1%
Other values (3238) 3238
99.7%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
ValueCountFrequency (%)
5032 1
< 0.1%
5031 1
< 0.1%
5030 1
< 0.1%
5029 1
< 0.1%
5028 1
< 0.1%
5027 1
< 0.1%
5026 1
< 0.1%
5025 1
< 0.1%
5024 1
< 0.1%
5023 1
< 0.1%

트랙번호
Real number (ℝ)

HIGH CORRELATION 

Distinct356
Distinct (%)11.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean696.46829
Minimum1
Maximum2091
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size28.7 KiB
2023-12-12T12:29:02.411532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile23
Q173
median344
Q31322
95-th percentile1962.65
Maximum2091
Range2090
Interquartile range (IQR)1249

Descriptive statistics

Standard deviation677.17902
Coefficient of variation (CV)0.97230417
Kurtosis-0.92167964
Mean696.46829
Median Absolute Deviation (MAD)296
Skewness0.75787448
Sum2262129
Variance458571.42
MonotonicityNot monotonic
2023-12-12T12:29:02.603875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
600 59
 
1.8%
75 42
 
1.3%
60 39
 
1.2%
326 38
 
1.2%
51 37
 
1.1%
47 35
 
1.1%
76 34
 
1.0%
420 34
 
1.0%
70 33
 
1.0%
58 32
 
1.0%
Other values (346) 2865
88.2%
ValueCountFrequency (%)
1 1
 
< 0.1%
2 16
0.5%
3 5
 
0.2%
4 15
0.5%
5 16
0.5%
6 20
0.6%
7 6
 
0.2%
8 14
0.4%
9 12
0.4%
10 11
0.3%
ValueCountFrequency (%)
2091 5
0.2%
2090 4
 
0.1%
2089 5
0.2%
2088 7
0.2%
2087 3
 
0.1%
2086 4
 
0.1%
2085 6
0.2%
2084 11
0.3%
2083 10
0.3%
2082 2
 
0.1%
Distinct354
Distinct (%)10.9%
Missing0
Missing (%)0.0%
Memory size25.5 KiB
2023-12-12T12:29:02.986258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length74
Median length28
Mean length12.674877
Min length4

Characters and Unicode

Total characters41168
Distinct characters395
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique16 ?
Unique (%)0.5%

Sample

1st row이재하의 신쾌동류 거문고산조
2nd row이연희와 조순애의 김죽파류 가야금 산조
3rd row이연희와 조순애의 김죽파류 가야금 산조
4th row이연희와 조순애의 김죽파류 가야금 산조
5th row이연희와 조순애의 김죽파류 가야금 산조
ValueCountFrequency (%)
가야금 295
 
2.8%
노래 245
 
2.3%
222
 
2.1%
판소리 219
 
2.1%
수궁가 185
 
1.8%
완창 170
 
1.6%
산조 160
 
1.5%
아이들 154
 
1.5%
흥보가 140
 
1.3%
병창 118
 
1.1%
Other values (664) 8580
81.8%
2023-12-12T12:29:03.516964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7270
 
17.7%
1357
 
3.3%
1084
 
2.6%
753
 
1.8%
' 740
 
1.8%
659
 
1.6%
636
 
1.5%
634
 
1.5%
620
 
1.5%
615
 
1.5%
Other values (385) 26800
65.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 30071
73.0%
Space Separator 7270
 
17.7%
Other Punctuation 1300
 
3.2%
Decimal Number 1170
 
2.8%
Lowercase Letter 362
 
0.9%
Dash Punctuation 327
 
0.8%
Uppercase Letter 308
 
0.7%
Math Symbol 152
 
0.4%
Open Punctuation 104
 
0.3%
Close Punctuation 104
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1357
 
4.5%
1084
 
3.6%
753
 
2.5%
659
 
2.2%
636
 
2.1%
634
 
2.1%
620
 
2.1%
615
 
2.0%
601
 
2.0%
569
 
1.9%
Other values (334) 22543
75.0%
Lowercase Letter
ValueCountFrequency (%)
z 46
12.7%
o 37
10.2%
u 34
9.4%
i 33
9.1%
e 31
8.6%
s 27
 
7.5%
a 23
 
6.4%
t 20
 
5.5%
f 20
 
5.5%
m 19
 
5.2%
Other values (9) 72
19.9%
Uppercase Letter
ValueCountFrequency (%)
M 90
29.2%
C 78
25.3%
F 42
13.6%
H 42
13.6%
T 10
 
3.2%
B 10
 
3.2%
Y 10
 
3.2%
P 10
 
3.2%
K 9
 
2.9%
R 4
 
1.3%
Decimal Number
ValueCountFrequency (%)
2 296
25.3%
0 259
22.1%
1 206
17.6%
3 133
11.4%
9 95
 
8.1%
6 59
 
5.0%
5 39
 
3.3%
4 35
 
3.0%
7 24
 
2.1%
8 24
 
2.1%
Other Punctuation
ValueCountFrequency (%)
' 740
56.9%
, 440
33.8%
. 96
 
7.4%
· 18
 
1.4%
: 6
 
0.5%
Math Symbol
ValueCountFrequency (%)
> 76
50.0%
< 76
50.0%
Space Separator
ValueCountFrequency (%)
7270
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 327
100.0%
Open Punctuation
ValueCountFrequency (%)
( 104
100.0%
Close Punctuation
ValueCountFrequency (%)
) 104
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 29978
72.8%
Common 10427
 
25.3%
Latin 670
 
1.6%
Han 93
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1357
 
4.5%
1084
 
3.6%
753
 
2.5%
659
 
2.2%
636
 
2.1%
634
 
2.1%
620
 
2.1%
615
 
2.1%
601
 
2.0%
569
 
1.9%
Other values (327) 22450
74.9%
Latin
ValueCountFrequency (%)
M 90
13.4%
C 78
 
11.6%
z 46
 
6.9%
F 42
 
6.3%
H 42
 
6.3%
o 37
 
5.5%
u 34
 
5.1%
i 33
 
4.9%
e 31
 
4.6%
s 27
 
4.0%
Other values (20) 210
31.3%
Common
ValueCountFrequency (%)
7270
69.7%
' 740
 
7.1%
, 440
 
4.2%
- 327
 
3.1%
2 296
 
2.8%
0 259
 
2.5%
1 206
 
2.0%
3 133
 
1.3%
( 104
 
1.0%
) 104
 
1.0%
Other values (11) 548
 
5.3%
Han
ValueCountFrequency (%)
18
19.4%
18
19.4%
14
15.1%
14
15.1%
11
11.8%
11
11.8%
7
 
7.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 29978
72.8%
ASCII 11079
 
26.9%
CJK 93
 
0.2%
None 18
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7270
65.6%
' 740
 
6.7%
, 440
 
4.0%
- 327
 
3.0%
2 296
 
2.7%
0 259
 
2.3%
1 206
 
1.9%
3 133
 
1.2%
( 104
 
0.9%
) 104
 
0.9%
Other values (40) 1200
 
10.8%
Hangul
ValueCountFrequency (%)
1357
 
4.5%
1084
 
3.6%
753
 
2.5%
659
 
2.2%
636
 
2.1%
634
 
2.1%
620
 
2.1%
615
 
2.1%
601
 
2.0%
569
 
1.9%
Other values (327) 22450
74.9%
None
ValueCountFrequency (%)
· 18
100.0%
CJK
ValueCountFrequency (%)
18
19.4%
18
19.4%
14
15.1%
14
15.1%
11
11.8%
11
11.8%
7
 
7.5%
Distinct2569
Distinct (%)79.1%
Missing0
Missing (%)0.0%
Memory size25.5 KiB
2023-12-12T12:29:03.818396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length43
Mean length11.414101
Min length1

Characters and Unicode

Total characters37073
Distinct characters858
Distinct categories15 ?
Distinct scripts4 ?
Distinct blocks8 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2226 ?
Unique (%)68.5%

Sample

1st row신쾌동류 거문고 산조
2nd row세산조시 Sesanjosi
3rd row무장단 Mujangdan
4th row휘모리 Hwimori
5th row자진모리 Jajinmori
ValueCountFrequency (%)
293
 
3.4%
대목 206
 
2.4%
153
 
1.8%
section 99
 
1.1%
가야금 82
 
1.0%
중영산 67
 
0.8%
산조 67
 
0.8%
62
 
0.7%
단가 60
 
0.7%
흥보 57
 
0.7%
Other values (3058) 7470
86.7%
2023-12-12T12:29:04.353051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5673
 
15.3%
910
 
2.5%
705
 
1.9%
n 704
 
1.9%
575
 
1.6%
572
 
1.5%
o 546
 
1.5%
e 505
 
1.4%
) 490
 
1.3%
( 483
 
1.3%
Other values (848) 25910
69.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 23497
63.4%
Space Separator 5673
 
15.3%
Lowercase Letter 4753
 
12.8%
Uppercase Letter 652
 
1.8%
Decimal Number 642
 
1.7%
Close Punctuation 498
 
1.3%
Open Punctuation 491
 
1.3%
Other Punctuation 296
 
0.8%
Dash Punctuation 278
 
0.7%
Math Symbol 216
 
0.6%
Other values (5) 77
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
910
 
3.9%
705
 
3.0%
575
 
2.4%
572
 
2.4%
379
 
1.6%
379
 
1.6%
358
 
1.5%
348
 
1.5%
347
 
1.5%
339
 
1.4%
Other values (761) 18585
79.1%
Lowercase Letter
ValueCountFrequency (%)
n 704
14.8%
o 546
11.5%
e 505
10.6%
a 450
9.5%
g 392
 
8.2%
i 297
 
6.2%
u 231
 
4.9%
r 226
 
4.8%
y 213
 
4.5%
d 202
 
4.2%
Other values (15) 987
20.8%
Uppercase Letter
ValueCountFrequency (%)
S 233
35.7%
J 91
 
14.0%
G 45
 
6.9%
D 39
 
6.0%
E 32
 
4.9%
C 26
 
4.0%
H 26
 
4.0%
Y 25
 
3.8%
T 16
 
2.5%
P 15
 
2.3%
Other values (14) 104
16.0%
Decimal Number
ValueCountFrequency (%)
1 165
25.7%
2 128
19.9%
3 85
13.2%
4 75
11.7%
5 58
 
9.0%
9 42
 
6.5%
0 36
 
5.6%
6 20
 
3.1%
7 19
 
3.0%
8 14
 
2.2%
Other Punctuation
ValueCountFrequency (%)
, 154
52.0%
' 47
 
15.9%
: 36
 
12.2%
/ 30
 
10.1%
. 23
 
7.8%
& 2
 
0.7%
· 1
 
0.3%
* 1
 
0.3%
# 1
 
0.3%
; 1
 
0.3%
Math Symbol
ValueCountFrequency (%)
~ 129
59.7%
> 41
 
19.0%
< 41
 
19.0%
= 5
 
2.3%
Letter Number
ValueCountFrequency (%)
7
43.8%
5
31.2%
3
18.8%
1
 
6.2%
Close Punctuation
ValueCountFrequency (%)
) 490
98.4%
] 8
 
1.6%
Open Punctuation
ValueCountFrequency (%)
( 483
98.4%
[ 8
 
1.6%
Space Separator
ValueCountFrequency (%)
5673
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 278
100.0%
Final Punctuation
ValueCountFrequency (%)
24
100.0%
Initial Punctuation
ValueCountFrequency (%)
24
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 11
100.0%
Control
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 23186
62.5%
Common 8155
 
22.0%
Latin 5421
 
14.6%
Han 311
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
910
 
3.9%
705
 
3.0%
575
 
2.5%
572
 
2.5%
379
 
1.6%
379
 
1.6%
358
 
1.5%
348
 
1.5%
347
 
1.5%
339
 
1.5%
Other values (658) 18274
78.8%
Han
ValueCountFrequency (%)
153
49.2%
13
 
4.2%
7
 
2.3%
5
 
1.6%
4
 
1.3%
4
 
1.3%
4
 
1.3%
4
 
1.3%
4
 
1.3%
3
 
1.0%
Other values (93) 110
35.4%
Latin
ValueCountFrequency (%)
n 704
13.0%
o 546
 
10.1%
e 505
 
9.3%
a 450
 
8.3%
g 392
 
7.2%
i 297
 
5.5%
S 233
 
4.3%
u 231
 
4.3%
r 226
 
4.2%
y 213
 
3.9%
Other values (43) 1624
30.0%
Common
ValueCountFrequency (%)
5673
69.6%
) 490
 
6.0%
( 483
 
5.9%
- 278
 
3.4%
1 165
 
2.0%
, 154
 
1.9%
~ 129
 
1.6%
2 128
 
1.6%
3 85
 
1.0%
4 75
 
0.9%
Other values (24) 495
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 23174
62.5%
ASCII 13511
36.4%
CJK 308
 
0.8%
Punctuation 48
 
0.1%
Number Forms 16
 
< 0.1%
Compat Jamo 12
 
< 0.1%
CJK Compat Ideographs 3
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5673
42.0%
n 704
 
5.2%
o 546
 
4.0%
e 505
 
3.7%
) 490
 
3.6%
( 483
 
3.6%
a 450
 
3.3%
g 392
 
2.9%
i 297
 
2.2%
- 278
 
2.1%
Other values (70) 3693
27.3%
Hangul
ValueCountFrequency (%)
910
 
3.9%
705
 
3.0%
575
 
2.5%
572
 
2.5%
379
 
1.6%
379
 
1.6%
358
 
1.5%
348
 
1.5%
347
 
1.5%
339
 
1.5%
Other values (657) 18262
78.8%
CJK
ValueCountFrequency (%)
153
49.7%
13
 
4.2%
7
 
2.3%
5
 
1.6%
4
 
1.3%
4
 
1.3%
4
 
1.3%
4
 
1.3%
4
 
1.3%
3
 
1.0%
Other values (91) 107
34.7%
Punctuation
ValueCountFrequency (%)
24
50.0%
24
50.0%
Compat Jamo
ValueCountFrequency (%)
12
100.0%
Number Forms
ValueCountFrequency (%)
7
43.8%
5
31.2%
3
18.8%
1
 
6.2%
CJK Compat Ideographs
ValueCountFrequency (%)
2
66.7%
1
33.3%
None
ValueCountFrequency (%)
· 1
100.0%
Distinct644
Distinct (%)19.8%
Missing0
Missing (%)0.0%
Memory size25.5 KiB
2023-12-12T12:29:04.833055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length72
Median length63
Mean length8.1468596
Min length1

Characters and Unicode

Total characters26461
Distinct characters350
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique301 ?
Unique (%)9.3%

Sample

1st row이재하
2nd row이연희, 조순애
3rd row이연희, 조순애
4th row이연희, 조순애
5th row이연희, 조순애
ValueCountFrequency (%)
1249
 
17.2%
1명 317
 
4.4%
송인길 133
 
1.8%
김청만 133
 
1.8%
5명 114
 
1.6%
3명 96
 
1.3%
4명 90
 
1.2%
2명 86
 
1.2%
전래동요반 81
 
1.1%
송원조 76
 
1.0%
Other values (609) 4901
67.4%
2023-12-12T12:29:05.521646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4132
 
15.6%
, 1474
 
5.6%
1257
 
4.8%
1252
 
4.7%
976
 
3.7%
665
 
2.5%
492
 
1.9%
450
 
1.7%
426
 
1.6%
1 363
 
1.4%
Other values (340) 14974
56.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 19044
72.0%
Space Separator 4132
 
15.6%
Other Punctuation 1578
 
6.0%
Decimal Number 958
 
3.6%
Close Punctuation 300
 
1.1%
Open Punctuation 300
 
1.1%
Lowercase Letter 92
 
0.3%
Uppercase Letter 44
 
0.2%
Dash Punctuation 6
 
< 0.1%
Math Symbol 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1257
 
6.6%
1252
 
6.6%
976
 
5.1%
665
 
3.5%
492
 
2.6%
450
 
2.4%
426
 
2.2%
320
 
1.7%
293
 
1.5%
286
 
1.5%
Other values (286) 12627
66.3%
Lowercase Letter
ValueCountFrequency (%)
e 21
22.8%
h 13
14.1%
r 9
9.8%
i 7
 
7.6%
o 6
 
6.5%
a 5
 
5.4%
n 5
 
5.4%
s 4
 
4.3%
p 4
 
4.3%
b 3
 
3.3%
Other values (8) 15
16.3%
Uppercase Letter
ValueCountFrequency (%)
T 14
31.8%
S 5
 
11.4%
A 5
 
11.4%
L 4
 
9.1%
G 4
 
9.1%
K 3
 
6.8%
I 2
 
4.5%
M 2
 
4.5%
P 2
 
4.5%
F 1
 
2.3%
Other values (2) 2
 
4.5%
Decimal Number
ValueCountFrequency (%)
1 363
37.9%
5 117
 
12.2%
3 109
 
11.4%
2 96
 
10.0%
4 90
 
9.4%
6 66
 
6.9%
7 44
 
4.6%
9 38
 
4.0%
8 26
 
2.7%
0 9
 
0.9%
Other Punctuation
ValueCountFrequency (%)
, 1474
93.4%
: 91
 
5.8%
. 10
 
0.6%
· 2
 
0.1%
! 1
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 299
99.7%
] 1
 
0.3%
Open Punctuation
ValueCountFrequency (%)
( 299
99.7%
[ 1
 
0.3%
Math Symbol
ValueCountFrequency (%)
> 3
50.0%
< 3
50.0%
Space Separator
ValueCountFrequency (%)
4132
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 19008
71.8%
Common 7281
 
27.5%
Latin 136
 
0.5%
Han 36
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1257
 
6.6%
1252
 
6.6%
976
 
5.1%
665
 
3.5%
492
 
2.6%
450
 
2.4%
426
 
2.2%
320
 
1.7%
293
 
1.5%
286
 
1.5%
Other values (267) 12591
66.2%
Latin
ValueCountFrequency (%)
e 21
15.4%
T 14
 
10.3%
h 13
 
9.6%
r 9
 
6.6%
i 7
 
5.1%
o 6
 
4.4%
S 5
 
3.7%
A 5
 
3.7%
a 5
 
3.7%
n 5
 
3.7%
Other values (20) 46
33.8%
Common
ValueCountFrequency (%)
4132
56.8%
, 1474
 
20.2%
1 363
 
5.0%
) 299
 
4.1%
( 299
 
4.1%
5 117
 
1.6%
3 109
 
1.5%
2 96
 
1.3%
: 91
 
1.2%
4 90
 
1.2%
Other values (14) 211
 
2.9%
Han
ValueCountFrequency (%)
10
27.8%
7
19.4%
2
 
5.6%
2
 
5.6%
1
 
2.8%
1
 
2.8%
1
 
2.8%
1
 
2.8%
1
 
2.8%
1
 
2.8%
Other values (9) 9
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 19008
71.8%
ASCII 7415
 
28.0%
CJK 36
 
0.1%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4132
55.7%
, 1474
 
19.9%
1 363
 
4.9%
) 299
 
4.0%
( 299
 
4.0%
5 117
 
1.6%
3 109
 
1.5%
2 96
 
1.3%
: 91
 
1.2%
4 90
 
1.2%
Other values (43) 345
 
4.7%
Hangul
ValueCountFrequency (%)
1257
 
6.6%
1252
 
6.6%
976
 
5.1%
665
 
3.5%
492
 
2.6%
450
 
2.4%
426
 
2.2%
320
 
1.7%
293
 
1.5%
286
 
1.5%
Other values (267) 12591
66.2%
CJK
ValueCountFrequency (%)
10
27.8%
7
19.4%
2
 
5.6%
2
 
5.6%
1
 
2.8%
1
 
2.8%
1
 
2.8%
1
 
2.8%
1
 
2.8%
1
 
2.8%
Other values (9) 9
25.0%
None
ValueCountFrequency (%)
· 2
100.0%
Distinct879
Distinct (%)27.1%
Missing0
Missing (%)0.0%
Memory size25.5 KiB
2023-12-12T12:29:05.958212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length7.9858374
Min length6

Characters and Unicode

Total characters25938
Distinct characters17
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique325 ?
Unique (%)10.0%

Sample

1st row00:13:32
2nd row00:04:31
3rd row00:01:33
4th row00:04:54
5th row00:04:06
ValueCountFrequency (%)
데이터미집계 23
 
0.7%
00:02:47 18
 
0.6%
00:02:43 17
 
0.5%
00:02:44 16
 
0.5%
00:04:06 16
 
0.5%
00:03:39 15
 
0.5%
00:03:46 15
 
0.5%
00:04:30 15
 
0.5%
00:03:38 15
 
0.5%
00:03:57 15
 
0.5%
Other values (869) 3083
94.9%
2023-12-12T12:29:06.579249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 10220
39.4%
: 6450
24.9%
1 1510
 
5.8%
3 1496
 
5.8%
2 1469
 
5.7%
4 1381
 
5.3%
5 1239
 
4.8%
6 559
 
2.2%
7 537
 
2.1%
8 498
 
1.9%
Other values (7) 579
 
2.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 19350
74.6%
Other Punctuation 6450
 
24.9%
Other Letter 138
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 10220
52.8%
1 1510
 
7.8%
3 1496
 
7.7%
2 1469
 
7.6%
4 1381
 
7.1%
5 1239
 
6.4%
6 559
 
2.9%
7 537
 
2.8%
8 498
 
2.6%
9 441
 
2.3%
Other Letter
ValueCountFrequency (%)
23
16.7%
23
16.7%
23
16.7%
23
16.7%
23
16.7%
23
16.7%
Other Punctuation
ValueCountFrequency (%)
: 6450
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 25800
99.5%
Hangul 138
 
0.5%

Most frequent character per script

Common
ValueCountFrequency (%)
0 10220
39.6%
: 6450
25.0%
1 1510
 
5.9%
3 1496
 
5.8%
2 1469
 
5.7%
4 1381
 
5.4%
5 1239
 
4.8%
6 559
 
2.2%
7 537
 
2.1%
8 498
 
1.9%
Hangul
ValueCountFrequency (%)
23
16.7%
23
16.7%
23
16.7%
23
16.7%
23
16.7%
23
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 25800
99.5%
Hangul 138
 
0.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 10220
39.6%
: 6450
25.0%
1 1510
 
5.9%
3 1496
 
5.8%
2 1469
 
5.7%
4 1381
 
5.4%
5 1239
 
4.8%
6 559
 
2.2%
7 537
 
2.1%
8 498
 
1.9%
Hangul
ValueCountFrequency (%)
23
16.7%
23
16.7%
23
16.7%
23
16.7%
23
16.7%
23
16.7%

Interactions

2023-12-12T12:29:01.472369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:29:01.197539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:29:01.630497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:29:01.330878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T12:29:06.752424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번트랙번호
연번1.0000.988
트랙번호0.9881.000
2023-12-12T12:29:06.873135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번트랙번호
연번1.0001.000
트랙번호1.0001.000

Missing values

2023-12-12T12:29:01.785925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T12:29:01.918760image/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.

Sample

연번트랙번호음반명음원명연주자연주시간
011이재하의 신쾌동류 거문고산조신쾌동류 거문고 산조이재하00:13:32
122이연희와 조순애의 김죽파류 가야금 산조세산조시 Sesanjosi이연희, 조순애00:04:31
232이연희와 조순애의 김죽파류 가야금 산조무장단 Mujangdan이연희, 조순애00:01:33
342이연희와 조순애의 김죽파류 가야금 산조휘모리 Hwimori이연희, 조순애00:04:54
452이연희와 조순애의 김죽파류 가야금 산조자진모리 Jajinmori이연희, 조순애00:04:06
562이연희와 조순애의 김죽파류 가야금 산조중중모리 Jungjungmori이연희, 조순애00:03:01
672이연희와 조순애의 김죽파류 가야금 산조중모리 Jungmori이연희, 조순애00:09:57
782이연희와 조순애의 김죽파류 가야금 산조진양조 Jinyangjo이연희, 조순애00:20:41
892이연희와 조순애의 김죽파류 가야금 산조다스름 Daseureum (CD2)이연희, 조순애00:02:38
9102이연희와 조순애의 김죽파류 가야금 산조짧은산조 Short Sanjo이연희, 조순애00:14:08
연번트랙번호음반명음원명연주자연주시간
323850232089손정진 동해안 무속사물삼오장손정진 외 4명00:05:12
323950242090조영숙 남도소리단가 중 운담풍경조영숙 외 1명00:04:42
324050252090조영숙 남도소리육자배기조영숙 외 5명00:10:48
324150262090조영숙 남도소리여성국극 ‘바보온달과 평강공주’ (바보온달과 평강공주의 만남 )조영숙 외 5명00:09:35
324250272090조영숙 남도소리여성국극 ‘바보온달과 평강공주’ (바보온달의 글공부)조영숙 외 5명00:06:06
324350282091김예진 동초제 흥보가 '놀보 박타령'놀보 제비노정기김예진 외 1명00:05:40
324450292091김예진 동초제 흥보가 '놀보 박타령'놀보 박타령 - 노인 나오는 대목김예진 외 1명00:13:45
324550302091김예진 동초제 흥보가 '놀보 박타령'놀보 박타령 - 상여 나오는 대목김예진 외 1명00:09:56
324650312091김예진 동초제 흥보가 '놀보 박타령'놀보 박타령 - 사당패, 각설이패, 초라니패 나오는 대목김예진 외 1명00:07:09
324750322091김예진 동초제 흥보가 '놀보 박타령'놀보 박타령 - 장비 나오는 대목김예진 외 1명00:08:42