Overview

Dataset statistics

Number of variables15
Number of observations1513
Missing cells6088
Missing cells (%)26.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory178.9 KiB
Average record size in memory121.1 B

Variable types

Numeric1
Categorical4
Text6
DateTime4

Dataset

Description공연일련번호,공연구분1,공연구분2,공연구분3,공연명,공연장소,공연일시,티켓가격,곡목,프로그램소개,공연이미지URL,유료회원 일반 예매시작일,무료회원 일반 예매시작일,아티스트사전,등록일시
Author서울시립교향악단
URLhttps://data.seoul.go.kr/dataList/OA-13570/S/1/datasetView.do

Alerts

공연구분1 is highly overall correlated with 공연구분2 and 2 other fieldsHigh correlation
공연구분3 is highly overall correlated with 공연일련번호 and 3 other fieldsHigh correlation
공연구분2 is highly overall correlated with 공연구분1 and 2 other fieldsHigh correlation
티켓가격 is highly overall correlated with 공연구분1 and 2 other fieldsHigh correlation
공연일련번호 is highly overall correlated with 공연구분3High correlation
공연구분3 is highly imbalanced (94.3%)Imbalance
티켓가격 is highly imbalanced (52.0%)Imbalance
공연명 has 309 (20.4%) missing valuesMissing
공연장소 has 1420 (93.9%) missing valuesMissing
곡목 has 874 (57.8%) missing valuesMissing
프로그램소개 has 1336 (88.3%) missing valuesMissing
공연이미지URL has 50 (3.3%) missing valuesMissing
유료회원 일반 예매시작일 has 640 (42.3%) missing valuesMissing
무료회원 일반 예매시작일 has 640 (42.3%) missing valuesMissing
아티스트사전 has 819 (54.1%) missing valuesMissing
공연일련번호 has unique valuesUnique

Reproduction

Analysis started2024-05-18 05:56:15.568654
Analysis finished2024-05-18 05:56:21.083145
Duration5.51 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

공연일련번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct1513
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3602.7217
Minimum1099
Maximum6219
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.4 KiB
2024-05-18T14:56:21.402082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1099
5-th percentile2657.6
Q12960
median3344
Q33733
95-th percentile5857.8
Maximum6219
Range5120
Interquartile range (IQR)773

Descriptive statistics

Standard deviation1042.2434
Coefficient of variation (CV)0.28929335
Kurtosis0.59002319
Mean3602.7217
Median Absolute Deviation (MAD)387
Skewness0.76009856
Sum5450918
Variance1086271.4
MonotonicityNot monotonic
2024-05-18T14:56:21.978104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6219 1
 
0.1%
3075 1
 
0.1%
3095 1
 
0.1%
3061 1
 
0.1%
3071 1
 
0.1%
3112 1
 
0.1%
3074 1
 
0.1%
3080 1
 
0.1%
3105 1
 
0.1%
3073 1
 
0.1%
Other values (1503) 1503
99.3%
ValueCountFrequency (%)
1099 1
0.1%
1117 1
0.1%
1118 1
0.1%
1120 1
0.1%
1154 1
0.1%
1164 1
0.1%
1165 1
0.1%
1167 1
0.1%
1169 1
0.1%
1170 1
0.1%
ValueCountFrequency (%)
6219 1
0.1%
6217 1
0.1%
6215 1
0.1%
6213 1
0.1%
6211 1
0.1%
6209 1
0.1%
6193 1
0.1%
6191 1
0.1%
6189 1
0.1%
6171 1
0.1%

공연구분1
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size11.9 KiB
PUBLIC CONCERT
818 
SUBSCRIPTION
617 
EDUCATION
 
37
OVERSEAS
 
21
COMMISSIONED
 
20

Length

Max length14
Median length14
Mean length12.952412
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowPUBLIC CONCERT
2nd rowEDUCATION
3rd rowEDUCATION
4th rowPUBLIC CONCERT
5th rowPUBLIC CONCERT

Common Values

ValueCountFrequency (%)
PUBLIC CONCERT 818
54.1%
SUBSCRIPTION 617
40.8%
EDUCATION 37
 
2.4%
OVERSEAS 21
 
1.4%
COMMISSIONED 20
 
1.3%

Length

2024-05-18T14:56:22.482315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T14:56:22.850714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
public 818
35.1%
concert 818
35.1%
subscription 617
26.5%
education 37
 
1.6%
overseas 21
 
0.9%
commissioned 20
 
0.9%

공연구분2
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size11.9 KiB
OUTREACH
671 
ORCHESTRA
569 
<NA>
148 
CHAMBER
89 
MUSIC LOVERS
 
34

Length

Max length12
Median length9
Mean length8.0171844
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowOUTREACH
2nd rowMUSIC LOVERS
3rd rowMUSIC LOVERS
4th rowOUTREACH
5th rowOUTREACH

Common Values

ValueCountFrequency (%)
OUTREACH 671
44.3%
ORCHESTRA 569
37.6%
<NA> 148
 
9.8%
CHAMBER 89
 
5.9%
MUSIC LOVERS 34
 
2.2%
KID'S EDU 2
 
0.1%

Length

2024-05-18T14:56:23.262835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T14:56:23.632670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
outreach 671
43.3%
orchestra 569
36.7%
na 148
 
9.6%
chamber 89
 
5.7%
music 34
 
2.2%
lovers 34
 
2.2%
kid's 2
 
0.1%
edu 2
 
0.1%

공연구분3
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size11.9 KiB
<NA>
1498 
RUSH HOURCONCERT
 
9
MUSIC LOVERS
 
6

Length

Max length16
Median length4
Mean length4.1031064
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1498
99.0%
RUSH HOURCONCERT 9
 
0.6%
MUSIC LOVERS 6
 
0.4%

Length

2024-05-18T14:56:24.047594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T14:56:24.373679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1498
98.0%
rush 9
 
0.6%
hourconcert 9
 
0.6%
music 6
 
0.4%
lovers 6
 
0.4%

공연명
Text

MISSING 

Distinct899
Distinct (%)74.7%
Missing309
Missing (%)20.4%
Memory size11.9 KiB
2024-05-18T14:56:25.114711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length92
Median length67
Mean length32.630399
Min length1

Characters and Unicode

Total characters39287
Distinct characters115
Distinct categories17 ?
Distinct scripts3 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique821 ?
Unique (%)68.2%

Sample

1st rowSPO Park Concert 2024
2nd rowKids Concert with Seoul Philharmonic Orchestra 2024
3rd rowKids Concert with Seoul Philharmonic Orchestra 2024
4th row2024 SPO Museum Concert
5th row2024 SPO Museum Concert
ValueCountFrequency (%)
concert 342
 
5.8%
chamber 326
 
5.5%
neighborhood 218
 
3.7%
215
 
3.7%
music 214
 
3.6%
spo 179
 
3.0%
series 165
 
2.8%
① 110
 
1.9%
② 109
 
1.9%
symphony 81
 
1.4%
Other values (942) 3922
66.7%
2024-05-18T14:56:26.302216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4771
 
12.1%
e 2611
 
6.6%
o 2071
 
5.3%
r 2052
 
5.2%
h 1470
 
3.7%
a 1422
 
3.6%
n 1392
 
3.5%
i 1347
 
3.4%
S 1264
 
3.2%
s 1230
 
3.1%
Other values (105) 19657
50.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 20610
52.5%
Uppercase Letter 11574
29.5%
Space Separator 4771
 
12.1%
Decimal Number 1055
 
2.7%
Other Punctuation 445
 
1.1%
Dash Punctuation 314
 
0.8%
Other Number 223
 
0.6%
Final Punctuation 143
 
0.4%
Letter Number 50
 
0.1%
Other Letter 29
 
0.1%
Other values (7) 73
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 2611
12.7%
o 2071
10.0%
r 2052
10.0%
h 1470
 
7.1%
a 1422
 
6.9%
n 1392
 
6.8%
i 1347
 
6.5%
s 1230
 
6.0%
t 1120
 
5.4%
c 1098
 
5.3%
Other values (17) 4797
23.3%
Uppercase Letter
ValueCountFrequency (%)
S 1264
10.9%
C 1206
 
10.4%
O 920
 
7.9%
N 904
 
7.8%
E 851
 
7.4%
I 753
 
6.5%
A 706
 
6.1%
R 642
 
5.5%
M 589
 
5.1%
T 583
 
5.0%
Other values (17) 3156
27.3%
Other Letter
ValueCountFrequency (%)
시 5
17.2%
악 3
10.3%
향 3
10.3%
울 3
10.3%
서 3
10.3%
리 2
 
6.9%
실 2
 
6.9%
내 2
 
6.9%
즈 2
 
6.9%
특 1
 
3.4%
Other values (3) 3
10.3%
Decimal Number
ValueCountFrequency (%)
2 495
46.9%
0 254
24.1%
1 93
 
8.8%
3 78
 
7.4%
4 65
 
6.2%
7 18
 
1.7%
9 15
 
1.4%
6 13
 
1.2%
8 12
 
1.1%
5 12
 
1.1%
Other Punctuation
ValueCountFrequency (%)
: 165
37.1%
' 79
17.8%
? 69
15.5%
. 55
 
12.4%
, 28
 
6.3%
! 25
 
5.6%
& 23
 
5.2%
… 1
 
0.2%
Letter Number
ValueCountFrequency (%)
Ⅲ 13
26.0%
Ⅱ 13
26.0%
Ⅳ 9
18.0%
Ⅰ 8
16.0%
Ⅴ 3
 
6.0%
Ⅵ 2
 
4.0%
Ⅷ 1
 
2.0%
Ⅶ 1
 
2.0%
Other Number
ValueCountFrequency (%)
② 110
49.3%
① 110
49.3%
③ 2
 
0.9%
④ 1
 
0.4%
Close Punctuation
ValueCountFrequency (%)
] 13
61.9%
) 7
33.3%
」 1
 
4.8%
Open Punctuation
ValueCountFrequency (%)
[ 13
61.9%
( 7
33.3%
「 1
 
4.8%
Math Symbol
ValueCountFrequency (%)
+ 5
45.5%
< 3
27.3%
> 3
27.3%
Final Punctuation
ValueCountFrequency (%)
’ 141
98.6%
” 2
 
1.4%
Initial Punctuation
ValueCountFrequency (%)
‘ 3
60.0%
“ 2
40.0%
Space Separator
ValueCountFrequency (%)
4771
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 314
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 12
100.0%
Other Symbol
ValueCountFrequency (%)
° 2
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 32234
82.0%
Common 7024
 
17.9%
Hangul 29
 
0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 2611
 
8.1%
o 2071
 
6.4%
r 2052
 
6.4%
h 1470
 
4.6%
a 1422
 
4.4%
n 1392
 
4.3%
i 1347
 
4.2%
S 1264
 
3.9%
s 1230
 
3.8%
C 1206
 
3.7%
Other values (52) 16169
50.2%
Common
ValueCountFrequency (%)
4771
67.9%
2 495
 
7.0%
- 314
 
4.5%
0 254
 
3.6%
: 165
 
2.3%
’ 141
 
2.0%
② 110
 
1.6%
① 110
 
1.6%
1 93
 
1.3%
' 79
 
1.1%
Other values (30) 492
 
7.0%
Hangul
ValueCountFrequency (%)
시 5
17.2%
악 3
10.3%
향 3
10.3%
울 3
10.3%
서 3
10.3%
리 2
 
6.9%
실 2
 
6.9%
내 2
 
6.9%
즈 2
 
6.9%
특 1
 
3.4%
Other values (3) 3
10.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 38827
98.8%
Enclosed Alphanum 223
 
0.6%
Punctuation 149
 
0.4%
Number Forms 50
 
0.1%
Hangul 29
 
0.1%
None 9
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4771
 
12.3%
e 2611
 
6.7%
o 2071
 
5.3%
r 2052
 
5.3%
h 1470
 
3.8%
a 1422
 
3.7%
n 1392
 
3.6%
i 1347
 
3.5%
S 1264
 
3.3%
s 1230
 
3.2%
Other values (70) 19197
49.4%
Punctuation
ValueCountFrequency (%)
’ 141
94.6%
‘ 3
 
2.0%
” 2
 
1.3%
“ 2
 
1.3%
… 1
 
0.7%
Enclosed Alphanum
ValueCountFrequency (%)
② 110
49.3%
① 110
49.3%
③ 2
 
0.9%
④ 1
 
0.4%
Number Forms
ValueCountFrequency (%)
Ⅲ 13
26.0%
Ⅱ 13
26.0%
Ⅳ 9
18.0%
Ⅰ 8
16.0%
Ⅴ 3
 
6.0%
Ⅵ 2
 
4.0%
Ⅷ 1
 
2.0%
Ⅶ 1
 
2.0%
Hangul
ValueCountFrequency (%)
시 5
17.2%
악 3
10.3%
향 3
10.3%
울 3
10.3%
서 3
10.3%
리 2
 
6.9%
실 2
 
6.9%
내 2
 
6.9%
즈 2
 
6.9%
특 1
 
3.4%
Other values (3) 3
10.3%
None
ValueCountFrequency (%)
Ø 3
33.3%
° 2
22.2%
ø 2
22.2%
「 1
 
11.1%
」 1
 
11.1%

공연장소
Text

MISSING 

Distinct78
Distinct (%)83.9%
Missing1420
Missing (%)93.9%
Memory size11.9 KiB
2024-05-18T14:56:27.014819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length35
Mean length22.44086
Min length4

Characters and Unicode

Total characters2087
Distinct characters94
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique66 ?
Unique (%)71.0%

Sample

1st rowFamily yard
2nd rowSongpa Book Museum
3rd rowSeoul Museum of Craft Art
4th rowBuk Seoul Museum of Art
5th rowKorea War memorial
ValueCountFrequency (%)
center 20
 
6.2%
seoul 18
 
5.6%
hall 17
 
5.3%
museum 14
 
4.4%
art 12
 
3.7%
of 11
 
3.4%
arts 10
 
3.1%
korea 7
 
2.2%
university 5
 
1.6%
lg 4
 
1.2%
Other values (139) 203
63.2%
2024-05-18T14:56:28.196136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
229
 
11.0%
e 163
 
7.8%
a 133
 
6.4%
o 125
 
6.0%
n 115
 
5.5%
r 109
 
5.2%
u 105
 
5.0%
t 96
 
4.6%
l 87
 
4.2%
i 62
 
3.0%
Other values (84) 863
41.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1334
63.9%
Uppercase Letter 440
 
21.1%
Space Separator 229
 
11.0%
Other Letter 74
 
3.5%
Dash Punctuation 5
 
0.2%
Decimal Number 3
 
0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
관 6
 
8.1%
물 5
 
6.8%
박 5
 
6.8%
당 4
 
5.4%
예 3
 
4.1%
공 3
 
4.1%
마 3
 
4.1%
비 3
 
4.1%
로 3
 
4.1%
회 2
 
2.7%
Other values (28) 37
50.0%
Lowercase Letter
ValueCountFrequency (%)
e 163
12.2%
a 133
10.0%
o 125
9.4%
n 115
8.6%
r 109
 
8.2%
u 105
 
7.9%
t 96
 
7.2%
l 87
 
6.5%
i 62
 
4.6%
s 56
 
4.2%
Other values (17) 283
21.2%
Uppercase Letter
ValueCountFrequency (%)
S 49
 
11.1%
C 43
 
9.8%
A 40
 
9.1%
H 29
 
6.6%
G 27
 
6.1%
R 27
 
6.1%
E 26
 
5.9%
M 26
 
5.9%
L 26
 
5.9%
N 24
 
5.5%
Other values (13) 123
28.0%
Decimal Number
ValueCountFrequency (%)
1 2
66.7%
6 1
33.3%
Space Separator
ValueCountFrequency (%)
229
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1774
85.0%
Common 239
 
11.5%
Hangul 74
 
3.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 163
 
9.2%
a 133
 
7.5%
o 125
 
7.0%
n 115
 
6.5%
r 109
 
6.1%
u 105
 
5.9%
t 96
 
5.4%
l 87
 
4.9%
i 62
 
3.5%
s 56
 
3.2%
Other values (40) 723
40.8%
Hangul
ValueCountFrequency (%)
관 6
 
8.1%
물 5
 
6.8%
박 5
 
6.8%
당 4
 
5.4%
예 3
 
4.1%
공 3
 
4.1%
마 3
 
4.1%
비 3
 
4.1%
로 3
 
4.1%
회 2
 
2.7%
Other values (28) 37
50.0%
Common
ValueCountFrequency (%)
229
95.8%
- 5
 
2.1%
1 2
 
0.8%
( 1
 
0.4%
) 1
 
0.4%
6 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2010
96.3%
Hangul 74
 
3.5%
None 3
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
229
 
11.4%
e 163
 
8.1%
a 133
 
6.6%
o 125
 
6.2%
n 115
 
5.7%
r 109
 
5.4%
u 105
 
5.2%
t 96
 
4.8%
l 87
 
4.3%
i 62
 
3.1%
Other values (45) 786
39.1%
Hangul
ValueCountFrequency (%)
관 6
 
8.1%
물 5
 
6.8%
박 5
 
6.8%
당 4
 
5.4%
예 3
 
4.1%
공 3
 
4.1%
마 3
 
4.1%
비 3
 
4.1%
로 3
 
4.1%
회 2
 
2.7%
Other values (28) 37
50.0%
None
ValueCountFrequency (%)
ß 3
100.0%

공연일시
Date

Distinct1486
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Memory size11.9 KiB
Minimum2009-03-01 17:00:00
Maximum2024-12-20 20:00:00
2024-05-18T14:56:28.594385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:56:29.062909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

티켓가격
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct39
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size11.9 KiB
<NA>
870 
70,000(R), 50,000(S), 30,000(A), 20,000(B), 10,000(C)
178 
90,000(R), 70,000(S), 50,000(A), 30,000(B), 10,000(C)
 
81
120,000(R), 90,000(S), 60,000(A), 30,000(B), 10,000(C)
 
79
50,000(R), 30,000(S), 10,000(A)
 
55
Other values (34)
250 

Length

Max length56
Median length4
Mean length21.278255
Min length4

Unique

Unique14 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 870
57.5%
70,000(R), 50,000(S), 30,000(A), 20,000(B), 10,000(C) 178
 
11.8%
90,000(R), 70,000(S), 50,000(A), 30,000(B), 10,000(C) 81
 
5.4%
120,000(R), 90,000(S), 60,000(A), 30,000(B), 10,000(C) 79
 
5.2%
50,000(R), 30,000(S), 10,000(A) 55
 
3.6%
50,000(R), 30,000(S), 20,000(A), 10,000(B) 38
 
2.5%
30,000(R), 20,000(S), 10,000(A) 35
 
2.3%
100,000(R), 80,000(S), 50,000(A), 30,000(B), 10,000(C) 33
 
2.2%
10,000() 23
 
1.5%
20,000() 17
 
1.1%
Other values (29) 104
 
6.9%

Length

2024-05-18T14:56:29.548192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 870
24.2%
10,000(c 412
11.5%
30,000(a 210
 
5.8%
30,000(b 203
 
5.7%
20,000(b 197
 
5.5%
70,000(r 188
 
5.2%
50,000(s 182
 
5.1%
50,000(a 124
 
3.5%
10,000(a 116
 
3.2%
50,000(r 97
 
2.7%
Other values (49) 991
27.6%

곡목
Text

MISSING 

Distinct461
Distinct (%)72.1%
Missing874
Missing (%)57.8%
Memory size11.9 KiB
2024-05-18T14:56:30.309787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length422
Median length189
Mean length91.492958
Min length6

Characters and Unicode

Total characters58464
Distinct characters93
Distinct categories14 ?
Distinct scripts3 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique319 ?
Unique (%)49.9%

Sample

1st rowViolin Concerto No. 3 in G major, K. 216,Symphony No. 1 in C major Op. 21,Fr?hlingsstimmen, Op.410
2nd rowSymphony No. 40 in G minor, K.550,Die Walk?re, WWV 86B: Act 1
3rd rowPiano Concerto No. 1 in E-flat major, S. 124,Espa?a ,Romanian Rhapsody No. 1,Hungarian Rhapsody No. 2
4th rowSymphony No. 8 in G Major, Op. 88,Tzigane,Capriccio Italien, Op.45,Zigeunerweisen, Op. 20
5th rowPiano Concerto No. 5, Op. 73 &#39;Emperor&#39;,Symphony No. 1 ‘Titan’
ValueCountFrequency (%)
op 706
 
7.3%
in 700
 
7.2%
no 601
 
6.2%
minor 333
 
3.4%
concerto 317
 
3.3%
major 314
 
3.2%
for 254
 
2.6%
symphony 236
 
2.4%
d 184
 
1.9%
and 181
 
1.9%
Other values (1625) 5872
60.5%
2024-05-18T14:56:31.362787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9148
 
15.6%
o 4674
 
8.0%
n 3796
 
6.5%
r 3343
 
5.7%
e 3343
 
5.7%
i 3040
 
5.2%
a 2539
 
4.3%
, 2023
 
3.5%
t 1894
 
3.2%
m 1595
 
2.7%
Other values (83) 23069
39.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 34609
59.2%
Space Separator 9148
 
15.6%
Uppercase Letter 6380
 
10.9%
Other Punctuation 4162
 
7.1%
Decimal Number 3462
 
5.9%
Open Punctuation 143
 
0.2%
Close Punctuation 143
 
0.2%
Final Punctuation 140
 
0.2%
Dash Punctuation 131
 
0.2%
Initial Punctuation 110
 
0.2%
Other values (4) 36
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 4674
13.5%
n 3796
11.0%
r 3343
9.7%
e 3343
9.7%
i 3040
 
8.8%
a 2539
 
7.3%
t 1894
 
5.5%
m 1595
 
4.6%
p 1538
 
4.4%
l 1186
 
3.4%
Other values (16) 7661
22.1%
Uppercase Letter
ValueCountFrequency (%)
O 917
14.4%
S 807
12.6%
N 685
10.7%
C 667
10.5%
P 385
 
6.0%
D 314
 
4.9%
V 259
 
4.1%
T 249
 
3.9%
E 241
 
3.8%
F 225
 
3.5%
Other values (16) 1631
25.6%
Other Punctuation
ValueCountFrequency (%)
, 2023
48.6%
. 1593
38.3%
& 111
 
2.7%
# 100
 
2.4%
; 98
 
2.4%
: 72
 
1.7%
? 60
 
1.4%
' 39
 
0.9%
* 35
 
0.8%
/ 22
 
0.5%
Other values (3) 9
 
0.2%
Decimal Number
ValueCountFrequency (%)
1 627
18.1%
2 437
12.6%
3 426
12.3%
5 349
10.1%
9 342
9.9%
4 328
9.5%
0 254
7.3%
6 246
 
7.1%
7 244
 
7.0%
8 209
 
6.0%
Other Letter
ValueCountFrequency (%)
곡 1
25.0%
목 1
25.0%
변 1
25.0%
경 1
25.0%
Open Punctuation
ValueCountFrequency (%)
( 139
97.2%
[ 4
 
2.8%
Close Punctuation
ValueCountFrequency (%)
) 139
97.2%
] 4
 
2.8%
Final Punctuation
ValueCountFrequency (%)
’ 131
93.6%
” 9
 
6.4%
Dash Punctuation
ValueCountFrequency (%)
- 129
98.5%
― 2
 
1.5%
Initial Punctuation
ValueCountFrequency (%)
‘ 101
91.8%
“ 9
 
8.2%
Space Separator
ValueCountFrequency (%)
9148
100.0%
Other Symbol
ValueCountFrequency (%)
♭ 29
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 40990
70.1%
Common 17470
29.9%
Hangul 4
 
< 0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 4674
 
11.4%
n 3796
 
9.3%
r 3343
 
8.2%
e 3343
 
8.2%
i 3040
 
7.4%
a 2539
 
6.2%
t 1894
 
4.6%
m 1595
 
3.9%
p 1538
 
3.8%
l 1186
 
2.9%
Other values (43) 14042
34.3%
Common
ValueCountFrequency (%)
9148
52.4%
, 2023
 
11.6%
. 1593
 
9.1%
1 627
 
3.6%
2 437
 
2.5%
3 426
 
2.4%
5 349
 
2.0%
9 342
 
2.0%
4 328
 
1.9%
0 254
 
1.5%
Other values (26) 1943
 
11.1%
Hangul
ValueCountFrequency (%)
곡 1
25.0%
목 1
25.0%
변 1
25.0%
경 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 58173
99.5%
Punctuation 253
 
0.4%
Misc Symbols 29
 
< 0.1%
None 4
 
< 0.1%
Hangul 4
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9148
15.7%
o 4674
 
8.0%
n 3796
 
6.5%
r 3343
 
5.7%
e 3343
 
5.7%
i 3040
 
5.2%
a 2539
 
4.4%
, 2023
 
3.5%
t 1894
 
3.3%
m 1595
 
2.7%
Other values (70) 22778
39.2%
Punctuation
ValueCountFrequency (%)
’ 131
51.8%
‘ 101
39.9%
“ 9
 
3.6%
” 9
 
3.6%
― 2
 
0.8%
… 1
 
0.4%
Misc Symbols
ValueCountFrequency (%)
♭ 29
100.0%
None
ValueCountFrequency (%)
？ 4
100.0%
Hangul
ValueCountFrequency (%)
곡 1
25.0%
목 1
25.0%
변 1
25.0%
경 1
25.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

프로그램소개
Text

MISSING 

Distinct148
Distinct (%)83.6%
Missing1336
Missing (%)88.3%
Memory size11.9 KiB
2024-05-18T14:56:31.894920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length1024
Median length1024
Mean length916.51977
Min length9

Characters and Unicode

Total characters162224
Distinct characters956
Distinct categories14 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique120 ?
Unique (%)67.8%

Sample

1st rowPicture absolute silence: how would it sound?&nbsp;Maybe something like the massive stillness&nbsp;that opens Mahler’s First Symphony. It’s the&nbsp;starting point for a young composer’s voyage&nbsp;to the heart of absolute tragedy and ultimate&nbsp;triumph―a journey through life and death,&nbsp;birdsong and fanfares, funeral marches and&nbsp;Viennese waltzes. Mahler believed that “the&nbsp;symphony should embrace everything”, and&nbsp;it’s one of those pieces that simply has to be&nbsp;experienced live. Jaap van Zweden will make&nbsp;every note come alive―and rising Korean&nbsp;piano superstar Yunchan Lim brings his own&nbsp;youthful verve to Beethoven’s mighty “Emperor”&nbsp;concerto.- Richard Bratby
2nd rowPicture absolute silence: how would it sound?&nbsp;Maybe something like the massive stillness&nbsp;that opens Mahler’s First Symphony. It’s the&nbsp;starting point for a young composer’s voyage&nbsp;to the heart of absolute tragedy and ultimate&nbsp;triumph―a journey through life and death,&nbsp;birdsong and fanfares, funeral marches and&nbsp;Viennese waltzes. Mahler believed that “the&nbsp;symphony should embrace everything”, and&nbsp;it’s one of those pieces that simply has to be&nbsp;experienced live. Jaap van Zweden will make&nbsp;every note come alive―and rising Korean&nbsp;piano superstar Yunchan Lim brings his own&nbsp;youthful verve to Beethoven’s mighty “Emperor”&nbsp;concerto.- Richard Bratby&nbsp;
3rd rowA great city is under siege, and as the bullets&nbsp;fly and bombs explode, the defenders&nbsp;of Leningrad use loudspeakers to blast&nbsp;Shostakovich’s Seventh Symphony, defiant&nbsp;and colossal, at the Nazi forces. Shostakovich&nbsp;wrote the Leningrad Symphony in a city at war&nbsp;and this epic live performance should be a&nbsp;landmark of Jaap van Zweden’s first season in&nbsp;Seoul. Elgar’s Cello Concerto, meanwhile, tells&nbsp;a tale of falling leaves and autumn mist from&nbsp;the English countryside: a wonderfully poetic&nbsp;showcase for the great German cellist Daniel&nbsp;M?ller-Schott.- Richard Bratby
4th rowA great city is under siege, and as the bullets&nbsp;fly and bombs explode, the defenders&nbsp;of Leningrad use loudspeakers to blast&nbsp;Shostakovich’s Seventh Symphony, defiant&nbsp;and colossal, at the Nazi forces. Shostakovich&nbsp;wrote the Leningrad Symphony in a city at war&nbsp;and this epic live performance should be a&nbsp;landmark of Jaap van Zweden’s first season in&nbsp;Seoul. Elgar’s Cello Concerto, meanwhile, tells&nbsp;a tale of falling leaves and autumn mist from&nbsp;the English countryside: a wonderfully poetic&nbsp;showcase for the great German cellist Daniel&nbsp;M?ller-Schott.- Richard Bratby&nbsp;
5th rowFrom its tragic opening to the climactic, worldembracing&nbsp;“Ode to Joy”, Beethoven’s Ninth&nbsp;has never been just another symphony―it’s an&nbsp;emotional experience with the power to change&nbsp;lives. Every performance is a special occasion,&nbsp;and it’s become something of an end-of season&nbsp;tradition for the Seoul Philharmonic. To&nbsp;celebrate his first year as music director, Jaap&nbsp;van Zweden paired it with another celebration&nbsp;of joy: a sparkling four-way concerto from one&nbsp;of the most optimistic composers who ever&nbsp;lived: Beethoven’s teacher and friend Joseph&nbsp;Haydn. Humanity at its best.- Richard Bratby
ValueCountFrequency (%)
the 578
 
2.0%
and 341
 
1.2%
of 308
 
1.1%
a 264
 
0.9%
in 255
 
0.9%
이 253
 
0.9%
2 222
 
0.8%
202
 
0.7%
to 180
 
0.6%
is 108
 
0.4%
Other values (9662) 26569
90.7%
2024-05-18T14:56:32.947581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
29143
 
18.0%
e 6215
 
3.8%
n 5187
 
3.2%
s 4788
 
3.0%
t 4612
 
2.8%
a 4499
 
2.8%
o 4278
 
2.6%
i 4229
 
2.6%
r 3750
 
2.3%
h 2613
 
1.6%
Other values (946) 92910
57.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 59052
36.4%
Other Letter 56807
35.0%
Space Separator 29143
18.0%
Other Punctuation 6622
 
4.1%
Decimal Number 4760
 
2.9%
Uppercase Letter 2740
 
1.7%
Final Punctuation 785
 
0.5%
Open Punctuation 581
 
0.4%
Close Punctuation 578
 
0.4%
Initial Punctuation 560
 
0.3%
Other values (4) 596
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 1890
 
3.3%
다 1446
 
2.5%
의 1394
 
2.5%
는 1299
 
2.3%
에 1226
 
2.2%
로 1079
 
1.9%
을 979
 
1.7%
가 890
 
1.6%
하 877
 
1.5%
곡 872
 
1.5%
Other values (853) 44855
79.0%
Lowercase Letter
ValueCountFrequency (%)
e 6215
 
10.5%
n 5187
 
8.8%
s 4788
 
8.1%
t 4612
 
7.8%
a 4499
 
7.6%
o 4278
 
7.2%
i 4229
 
7.2%
r 3750
 
6.4%
h 2613
 
4.4%
p 2365
 
4.0%
Other values (16) 16516
28.0%
Uppercase Letter
ValueCountFrequency (%)
S 337
 
12.3%
C 203
 
7.4%
T 194
 
7.1%
B 183
 
6.7%
A 168
 
6.1%
O 154
 
5.6%
P 150
 
5.5%
F 126
 
4.6%
I 118
 
4.3%
M 116
 
4.2%
Other values (15) 991
36.2%
Other Punctuation
ValueCountFrequency (%)
, 1882
28.4%
. 1769
26.7%
; 1250
18.9%
& 1244
18.8%
? 190
 
2.9%
: 120
 
1.8%
' 75
 
1.1%
* 31
 
0.5%
! 28
 
0.4%
… 19
 
0.3%
Decimal Number
ValueCountFrequency (%)
1 1218
25.6%
2 769
16.2%
9 546
11.5%
0 455
 
9.6%
8 385
 
8.1%
3 351
 
7.4%
4 290
 
6.1%
7 287
 
6.0%
5 248
 
5.2%
6 211
 
4.4%
Open Punctuation
ValueCountFrequency (%)
( 494
85.0%
[ 67
 
11.5%
『 10
 
1.7%
「 8
 
1.4%
〈 2
 
0.3%
Close Punctuation
ValueCountFrequency (%)
) 491
84.9%
] 67
 
11.6%
』 10
 
1.7%
」 8
 
1.4%
〉 2
 
0.3%
Final Punctuation
ValueCountFrequency (%)
’ 691
88.0%
” 94
 
12.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 464
82.9%
“ 96
 
17.1%
Dash Punctuation
ValueCountFrequency (%)
- 451
93.6%
― 31
 
6.4%
Math Symbol
ValueCountFrequency (%)
~ 60
57.1%
+ 45
42.9%
Space Separator
ValueCountFrequency (%)
29143
100.0%
Other Symbol
ValueCountFrequency (%)
♭ 7
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 61792
38.1%
Hangul 56793
35.0%
Common 43625
26.9%
Han 14
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 1890
 
3.3%
다 1446
 
2.5%
의 1394
 
2.5%
는 1299
 
2.3%
에 1226
 
2.2%
로 1079
 
1.9%
을 979
 
1.7%
가 890
 
1.6%
하 877
 
1.5%
곡 872
 
1.5%
Other values (846) 44841
79.0%
Latin
ValueCountFrequency (%)
e 6215
 
10.1%
n 5187
 
8.4%
s 4788
 
7.7%
t 4612
 
7.5%
a 4499
 
7.3%
o 4278
 
6.9%
i 4229
 
6.8%
r 3750
 
6.1%
h 2613
 
4.2%
p 2365
 
3.8%
Other values (41) 19256
31.2%
Common
ValueCountFrequency (%)
29143
66.8%
, 1882
 
4.3%
. 1769
 
4.1%
; 1250
 
2.9%
& 1244
 
2.9%
1 1218
 
2.8%
2 769
 
1.8%
’ 691
 
1.6%
9 546
 
1.3%
( 494
 
1.1%
Other values (32) 4619
 
10.6%
Han
ValueCountFrequency (%)
中 4
28.6%
想 2
14.3%
理 2
14.3%
牧 2
14.3%
歌 2
14.3%
力 1
 
7.1%
動 1
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 103975
64.1%
Hangul 56793
35.0%
Punctuation 1395
 
0.9%
None 40
 
< 0.1%
CJK 14
 
< 0.1%
Misc Symbols 7
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
29143
28.0%
e 6215
 
6.0%
n 5187
 
5.0%
s 4788
 
4.6%
t 4612
 
4.4%
a 4499
 
4.3%
o 4278
 
4.1%
i 4229
 
4.1%
r 3750
 
3.6%
h 2613
 
2.5%
Other values (70) 34661
33.3%
Hangul
ValueCountFrequency (%)
이 1890
 
3.3%
다 1446
 
2.5%
의 1394
 
2.5%
는 1299
 
2.3%
에 1226
 
2.2%
로 1079
 
1.9%
을 979
 
1.7%
가 890
 
1.6%
하 877
 
1.5%
곡 872
 
1.5%
Other values (846) 44841
79.0%
Punctuation
ValueCountFrequency (%)
’ 691
49.5%
‘ 464
33.3%
“ 96
 
6.9%
” 94
 
6.7%
― 31
 
2.2%
… 19
 
1.4%
None
ValueCountFrequency (%)
』 10
25.0%
『 10
25.0%
「 8
20.0%
」 8
20.0%
〈 2
 
5.0%
〉 2
 
5.0%
Misc Symbols
ValueCountFrequency (%)
♭ 7
100.0%
CJK
ValueCountFrequency (%)
中 4
28.6%
想 2
14.3%
理 2
14.3%
牧 2
14.3%
歌 2
14.3%
力 1
 
7.1%
動 1
 
7.1%

공연이미지URL
Text

MISSING 

Distinct1463
Distinct (%)100.0%
Missing50
Missing (%)3.3%
Memory size11.9 KiB
2024-05-18T14:56:33.512627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length56
Mean length56.092276
Min length56

Characters and Unicode

Total characters82063
Distinct characters33
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1463 ?
Unique (%)100.0%

Sample

1st rowhttps://www.seoulphil.or.kr/file/displayFile?fileNo=11449
2nd rowhttps://www.seoulphil.or.kr/file/displayFile?fileNo=11448
3rd rowhttps://www.seoulphil.or.kr/file/displayFile?fileNo=11436
4th rowhttps://www.seoulphil.or.kr/file/displayFile?fileNo=11407
5th rowhttps://www.seoulphil.or.kr/file/displayFile?fileNo=11401
ValueCountFrequency (%)
https://www.seoulphil.or.kr/file/displayfile?fileno=11189 1
 
0.1%
https://www.seoulphil.or.kr/file/displayfile?fileno=5053 1
 
0.1%
https://www.seoulphil.or.kr/file/displayfile?fileno=5090 1
 
0.1%
https://www.seoulphil.or.kr/file/displayfile?fileno=5098 1
 
0.1%
https://www.seoulphil.or.kr/file/displayfile?fileno=5106 1
 
0.1%
https://www.seoulphil.or.kr/file/displayfile?fileno=5114 1
 
0.1%
https://www.seoulphil.or.kr/file/displayfile?fileno=5122 1
 
0.1%
https://www.seoulphil.or.kr/file/displayfile?fileno=5042 1
 
0.1%
https://www.seoulphil.or.kr/file/displayfile?fileno=5068 1
 
0.1%
https://www.seoulphil.or.kr/file/displayfile?fileno=5089 1
 
0.1%
Other values (1453) 1453
99.3%
2024-05-18T14:56:34.475624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
l 8778
 
10.7%
i 7315
 
8.9%
/ 5852
 
7.1%
e 5852
 
7.1%
o 4389
 
5.3%
p 4389
 
5.3%
s 4389
 
5.3%
w 4389
 
5.3%
. 4389
 
5.3%
t 2926
 
3.6%
Other values (23) 29395
35.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 58520
71.3%
Other Punctuation 13167
 
16.0%
Decimal Number 5987
 
7.3%
Uppercase Letter 2926
 
3.6%
Math Symbol 1463
 
1.8%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
l 8778
15.0%
i 7315
12.5%
e 5852
10.0%
o 4389
7.5%
p 4389
7.5%
s 4389
7.5%
w 4389
7.5%
t 2926
 
5.0%
f 2926
 
5.0%
r 2926
 
5.0%
Other values (6) 10241
17.5%
Decimal Number
ValueCountFrequency (%)
5 1096
18.3%
4 765
12.8%
1 655
10.9%
8 543
9.1%
6 520
8.7%
0 519
8.7%
9 501
8.4%
2 477
8.0%
7 476
8.0%
3 435
 
7.3%
Other Punctuation
ValueCountFrequency (%)
/ 5852
44.4%
. 4389
33.3%
? 1463
 
11.1%
: 1463
 
11.1%
Uppercase Letter
ValueCountFrequency (%)
N 1463
50.0%
F 1463
50.0%
Math Symbol
ValueCountFrequency (%)
= 1463
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 61446
74.9%
Common 20617
 
25.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
l 8778
14.3%
i 7315
11.9%
e 5852
9.5%
o 4389
 
7.1%
p 4389
 
7.1%
s 4389
 
7.1%
w 4389
 
7.1%
t 2926
 
4.8%
f 2926
 
4.8%
r 2926
 
4.8%
Other values (8) 13167
21.4%
Common
ValueCountFrequency (%)
/ 5852
28.4%
. 4389
21.3%
? 1463
 
7.1%
= 1463
 
7.1%
: 1463
 
7.1%
5 1096
 
5.3%
4 765
 
3.7%
1 655
 
3.2%
8 543
 
2.6%
6 520
 
2.5%
Other values (5) 2408
11.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 82063
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
l 8778
 
10.7%
i 7315
 
8.9%
/ 5852
 
7.1%
e 5852
 
7.1%
o 4389
 
5.3%
p 4389
 
5.3%
s 4389
 
5.3%
w 4389
 
5.3%
. 4389
 
5.3%
t 2926
 
3.6%
Other values (23) 29395
35.8%

유료회원 일반 예매시작일
Date

MISSING 

Distinct271
Distinct (%)31.0%
Missing640
Missing (%)42.3%
Memory size11.9 KiB
Minimum2008-10-31 00:00:00
Maximum2024-12-03 19:30:00
2024-05-18T14:56:34.869989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:56:35.267241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

무료회원 일반 예매시작일
Date

MISSING 

Distinct272
Distinct (%)31.2%
Missing640
Missing (%)42.3%
Memory size11.9 KiB
Minimum2008-10-31 00:00:00
Maximum2024-12-03 19:30:00
2024-05-18T14:56:35.515880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:56:35.882792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

아티스트사전
Text

MISSING 

Distinct421
Distinct (%)60.7%
Missing819
Missing (%)54.1%
Memory size11.9 KiB
2024-05-18T14:56:36.384331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length204
Median length131
Mean length48.057637
Min length10

Characters and Unicode

Total characters33352
Distinct characters64
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique267 ?
Unique (%)38.5%

Sample

1st rowConductor Jaap van Zweden
2nd rowConductor David Yi
3rd rowConductor David Yi
4th rowConductor Jaap van Zweden,SOLOIST Minbae Gong,SOLOIST Junhyung Park
5th rowConductor David Yi,SOLOIST Eunah Cho,SOLOIST Juyong Park
ValueCountFrequency (%)
conductor 489
 
12.8%
soloist 225
 
5.9%
myung-whun 76
 
2.0%
osmo 58
 
1.5%
chung,soloist 53
 
1.4%
kim 50
 
1.3%
david 50
 
1.3%
thierry 45
 
1.2%
markus 40
 
1.0%
v?nsk?,soloist 39
 
1.0%
Other values (802) 2710
70.7%
2024-05-18T14:56:37.422259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3187
 
9.6%
o 2509
 
7.5%
n 2297
 
6.9%
S 2042
 
6.1%
O 1732
 
5.2%
u 1504
 
4.5%
r 1503
 
4.5%
a 1452
 
4.4%
e 1397
 
4.2%
i 1157
 
3.5%
Other values (54) 14572
43.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 19175
57.5%
Uppercase Letter 9804
29.4%
Space Separator 3187
 
9.6%
Other Punctuation 906
 
2.7%
Dash Punctuation 276
 
0.8%
Open Punctuation 2
 
< 0.1%
Close Punctuation 2
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 2509
13.1%
n 2297
12.0%
u 1504
 
7.8%
r 1503
 
7.8%
a 1452
 
7.6%
e 1397
 
7.3%
i 1157
 
6.0%
t 1099
 
5.7%
d 898
 
4.7%
c 891
 
4.6%
Other values (18) 4468
23.3%
Uppercase Letter
ValueCountFrequency (%)
S 2042
20.8%
O 1732
17.7%
L 942
9.6%
T 930
9.5%
C 925
9.4%
I 901
9.2%
M 256
 
2.6%
Y 238
 
2.4%
K 230
 
2.3%
J 212
 
2.2%
Other values (16) 1396
14.2%
Other Punctuation
ValueCountFrequency (%)
, 767
84.7%
? 130
 
14.3%
' 4
 
0.4%
. 2
 
0.2%
& 2
 
0.2%
/ 1
 
0.1%
Space Separator
ValueCountFrequency (%)
3187
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 276
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 28979
86.9%
Common 4373
 
13.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 2509
 
8.7%
n 2297
 
7.9%
S 2042
 
7.0%
O 1732
 
6.0%
u 1504
 
5.2%
r 1503
 
5.2%
a 1452
 
5.0%
e 1397
 
4.8%
i 1157
 
4.0%
t 1099
 
3.8%
Other values (44) 12287
42.4%
Common
ValueCountFrequency (%)
3187
72.9%
, 767
 
17.5%
- 276
 
6.3%
? 130
 
3.0%
' 4
 
0.1%
. 2
 
< 0.1%
& 2
 
< 0.1%
( 2
 
< 0.1%
) 2
 
< 0.1%
/ 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33346
> 99.9%
None 6
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3187
 
9.6%
o 2509
 
7.5%
n 2297
 
6.9%
S 2042
 
6.1%
O 1732
 
5.2%
u 1504
 
4.5%
r 1503
 
4.5%
a 1452
 
4.4%
e 1397
 
4.2%
i 1157
 
3.5%
Other values (52) 14566
43.7%
None
ValueCountFrequency (%)
ø 5
83.3%
ß 1
 
16.7%

등록일시
Date

Distinct1374
Distinct (%)90.8%
Missing0
Missing (%)0.0%
Memory size11.9 KiB
Minimum2009-02-26 18:32:40
Maximum2024-05-10 11:39:46
2024-05-18T14:56:37.750611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:56:38.170327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Interactions

2024-05-18T14:56:18.703689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-18T14:56:38.425526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공연일련번호공연구분1공연구분2공연구분3공연장소티켓가격
공연일련번호1.0000.3770.3620.5820.9970.775
공연구분10.3771.0000.957NaN1.0000.824
공연구분20.3620.9571.000NaN1.0000.971
공연구분30.582NaNNaN1.0001.000NaN
공연장소0.9971.0001.0001.0001.0001.000
티켓가격0.7750.8240.971NaN1.0001.000
2024-05-18T14:56:38.708375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공연구분1공연구분3공연구분2티켓가격
공연구분11.0001.0000.7070.600
공연구분31.0001.0001.0001.000
공연구분20.7071.0001.0000.809
티켓가격0.6001.0000.8091.000
2024-05-18T14:56:38.966687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공연일련번호공연구분1공연구분2공연구분3티켓가격
공연일련번호1.0000.2290.2190.8160.406
공연구분10.2291.0000.7071.0000.600
공연구분20.2190.7071.0001.0000.809
공연구분30.8161.0001.0001.0001.000
티켓가격0.4060.6000.8091.0001.000

Missing values

2024-05-18T14:56:19.179137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-18T14:56:20.124386image/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.
2024-05-18T14:56:20.766474image/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

공연일련번호공연구분1공연구분2공연구분3공연명공연장소공연일시티켓가격곡목프로그램소개공연이미지URL유료회원 일반 예매시작일무료회원 일반 예매시작일아티스트사전등록일시
06219PUBLIC CONCERTOUTREACH<NA>SPO Park Concert 2024Family yard2024.09.21 19:00<NA><NA><NA><NA>2024-09-21 00:00:002024-09-21 00:00:00Conductor Jaap van Zweden2024-05-10 11:39:46.0
16217EDUCATIONMUSIC LOVERS<NA>Kids Concert with Seoul Philharmonic Orchestra 2024<NA>2024.10.09 16:00<NA><NA><NA><NA>2024-10-01 00:00:002024-10-01 00:00:00Conductor David Yi2024-05-09 12:13:51.0
26215EDUCATIONMUSIC LOVERS<NA>Kids Concert with Seoul Philharmonic Orchestra 2024<NA>2024.10.09 13:00<NA><NA><NA><NA>2024-10-01 00:00:002024-10-01 00:00:00Conductor David Yi2024-05-09 12:09:08.0
36213PUBLIC CONCERTOUTREACH<NA>2024 SPO Museum ConcertSongpa Book Museum2024.08.23 19:00<NA><NA><NA>https://www.seoulphil.or.kr/file/displayFile?fileNo=114492024-05-08 00:00:002024-05-08 00:00:00<NA>2024-05-08 18:08:30.0
46211PUBLIC CONCERTOUTREACH<NA>2024 SPO Museum ConcertSeoul Museum of Craft Art2024.08.22 19:00<NA><NA><NA>https://www.seoulphil.or.kr/file/displayFile?fileNo=114482024-05-08 00:00:002024-05-08 00:00:00<NA>2024-05-08 18:01:31.0
56209PUBLIC CONCERTOUTREACH<NA>2024 SPO Museum ConcertBuk Seoul Museum of Art2024.08.21 19:00<NA><NA><NA>https://www.seoulphil.or.kr/file/displayFile?fileNo=114362024-05-08 01:00:002024-05-08 00:00:00<NA>2024-05-08 17:53:19.0
66193PUBLIC CONCERTOUTREACH<NA>2024 SPO Outreach Chamber ConcertKorea War memorial2024.06.12 15:00<NA><NA><NA>https://www.seoulphil.or.kr/file/displayFile?fileNo=114072024-06-12 15:00:002024-06-12 15:00:00<NA>2024-04-29 15:54:28.0
76191PUBLIC CONCERTOUTREACH<NA>2024 SPO Outreach Chamber ConcertSeoul National University Hospital Daehan Center Lobby2024.06.04 12:00<NA><NA><NA>https://www.seoulphil.or.kr/file/displayFile?fileNo=114012024-06-04 12:00:002024-06-04 12:00:00<NA>2024-04-29 15:41:14.0
86189PUBLIC CONCERTOUTREACH<NA>2024 SPO Outreach Chamber ConcertSeonam Hospital Lobby2024.06.03 12:30<NA><NA><NA>https://www.seoulphil.or.kr/file/displayFile?fileNo=114002024-06-03 12:30:002024-06-03 12:30:00<NA>2024-04-29 15:28:02.0
96171PUBLIC CONCERT<NA><NA>2024 SPO Day<NA>2024.05.12 14:00<NA><NA><NA>https://www.seoulphil.or.kr/file/displayFile?fileNo=113752024-04-18 00:00:002024-04-24 00:00:00<NA>2024-04-18 18:14:29.0
공연일련번호공연구분1공연구분2공연구분3공연명공연장소공연일시티켓가격곡목프로그램소개공연이미지URL유료회원 일반 예매시작일무료회원 일반 예매시작일아티스트사전등록일시
15032636PUBLIC CONCERTOUTREACH<NA><NA><NA>2009.03.18 15:30<NA><NA><NA>https://www.seoulphil.or.kr/file/displayFile?fileNo=4615<NA><NA><NA>2009-02-26 20:01:08.0
15042635PUBLIC CONCERTOUTREACH<NA><NA><NA>2009.03.17 15:00<NA><NA><NA>https://www.seoulphil.or.kr/file/displayFile?fileNo=4614<NA><NA><NA>2009-02-26 20:00:22.0
15052634PUBLIC CONCERTOUTREACH<NA><NA><NA>2009.03.16 14:40<NA><NA><NA>https://www.seoulphil.or.kr/file/displayFile?fileNo=4613<NA><NA><NA>2009-02-26 19:59:40.0
15062632PUBLIC CONCERTOUTREACH<NA><NA><NA>2009.03.11 19:00<NA><NA><NA>https://www.seoulphil.or.kr/file/displayFile?fileNo=4611<NA><NA><NA>2009-02-26 19:57:43.0
15072630PUBLIC CONCERT<NA><NA><NA><NA>2009.03.06 10:00<NA><NA><NA>https://www.seoulphil.or.kr/file/displayFile?fileNo=4609<NA><NA><NA>2009-02-26 19:56:03.0
15082631PUBLIC CONCERTOUTREACH<NA><NA><NA>2009.03.06 19:30<NA><NA><NA>https://www.seoulphil.or.kr/file/displayFile?fileNo=4610<NA><NA><NA>2009-02-26 19:54:16.0
15092640SUBSCRIPTIONORCHESTRA<NA>Virtuoso Series 1<NA>2009.03.27 20:0050,000(R), 30,000(S), 20,000(A), 10,000(B)Symphony No. 5 in E minor, Op. 64,Piano Concerto No. 1 in B-flat minor, Op. 23<NA>https://www.seoulphil.or.kr/file/displayFile?fileNo=46192008-10-31 00:00:002008-10-31 00:00:00Conductor Kirill Karabits,SOLOIST Sunwook Kim2009-02-26 19:51:26.0
15102633SUBSCRIPTIONORCHESTRA<NA>Great Concerto Series 1<NA>2009.03.15 20:0050,000(R), 30,000(S), 20,000(A), 10,000(B)Prelude to the Afternoon of a Faun,Cello Concerto in E minor, Op. 85,Manfred, Op. 58<NA>https://www.seoulphil.or.kr/file/displayFile?fileNo=46122008-10-31 00:00:002008-10-31 00:00:00Conductor Rossen Milanov,SOLOIST Sol Gabetta2009-02-26 19:48:43.0
15112629SUBSCRIPTIONORCHESTRA<NA>Masterpiece Series 3<NA>2009.03.05 19:3070,000(R), 50,000(S), 30,000(A), 20,000(B), 10,000(C)Piano Concerto No. 24,The Rite of Spring<NA>https://www.seoulphil.or.kr/file/displayFile?fileNo=46082008-10-31 00:00:002008-10-31 00:00:00Conductor Myung-Whun Chung,SOLOIST Finghin Collins2009-02-26 19:43:57.0
15122628PUBLIC CONCERT<NA><NA><NA><NA>2009.03.01 17:00<NA><NA><NA>https://www.seoulphil.or.kr/file/displayFile?fileNo=4607<NA><NA><NA>2009-02-26 18:32:40.0