Overview

Dataset statistics

Number of variables6
Number of observations1467
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory71.8 KiB
Average record size in memory50.1 B

Variable types

Numeric2
Text3
Categorical1

Dataset

Description부산광역시기장군_정관도서관신착자료현황_20201201
Author부산광역시 기장군
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15060473

Alerts

순번 is highly overall correlated with 자료실명High correlation
자료실명 is highly overall correlated with 순번High correlation
순번 has unique valuesUnique

Reproduction

Analysis started2023-12-10 17:03:39.265985
Analysis finished2023-12-10 17:03:41.411997
Duration2.15 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct1467
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean734
Minimum1
Maximum1467
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.0 KiB
2023-12-11T02:03:41.549703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile74.3
Q1367.5
median734
Q31100.5
95-th percentile1393.7
Maximum1467
Range1466
Interquartile range (IQR)733

Descriptive statistics

Standard deviation423.63074
Coefficient of variation (CV)0.57715359
Kurtosis-1.2
Mean734
Median Absolute Deviation (MAD)367
Skewness0
Sum1076778
Variance179463
MonotonicityStrictly increasing
2023-12-11T02:03:41.790105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
987 1
 
0.1%
985 1
 
0.1%
984 1
 
0.1%
983 1
 
0.1%
982 1
 
0.1%
981 1
 
0.1%
980 1
 
0.1%
979 1
 
0.1%
978 1
 
0.1%
Other values (1457) 1457
99.3%
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 (%)
1467 1
0.1%
1466 1
0.1%
1465 1
0.1%
1464 1
0.1%
1463 1
0.1%
1462 1
0.1%
1461 1
0.1%
1460 1
0.1%
1459 1
0.1%
1458 1
0.1%

서명
Text

Distinct1447
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Memory size11.6 KiB
2023-12-11T02:03:42.310322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length193
Median length69
Mean length25.678937
Min length1

Characters and Unicode

Total characters37671
Distinct characters1077
Distinct categories14 ?
Distinct scripts4 ?
Distinct blocks8 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1429 ?
Unique (%)97.4%

Sample

1st row(2019) 인디애니페스트 수상작 모음집 [DVD 녹화자료]=Korea independent animation film festival. Vol.13
2nd row400 [DVD 녹화자료] : 제국의 부활
3rd row4x4 [DVD 녹화자료] : 탑승을 환영합니다
4th row아기는 어떻게 생기나요? [DVD 녹화자료]
5th row아기 탄생의 비밀 [DVD 녹화자료]
ValueCountFrequency (%)
745
 
8.0%
dvd 140
 
1.5%
녹화자료 131
 
1.4%
이야기 45
 
0.5%
위한 39
 
0.4%
내 26
 
0.3%
나는 25
 
0.3%
of 24
 
0.3%
3 24
 
0.3%
에세이 23
 
0.2%
Other values (5484) 8074
86.9%
2023-12-11T02:03:43.121560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7829
 
20.8%
: 742
 
2.0%
의 685
 
1.8%
이 633
 
1.7%
는 393
 
1.0%
e 328
 
0.9%
자 323
 
0.9%
기 319
 
0.8%
한 306
 
0.8%
D 295
 
0.8%
Other values (1067) 25818
68.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 22997
61.0%
Space Separator 7829
 
20.8%
Lowercase Letter 3174
 
8.4%
Other Punctuation 1435
 
3.8%
Uppercase Letter 839
 
2.2%
Decimal Number 501
 
1.3%
Open Punctuation 366
 
1.0%
Close Punctuation 366
 
1.0%
Math Symbol 146
 
0.4%
Dash Punctuation 10
 
< 0.1%
Other values (4) 8
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 685
 
3.0%
이 633
 
2.8%
는 393
 
1.7%
자 323
 
1.4%
기 319
 
1.4%
한 306
 
1.3%
가 294
 
1.3%
지 293
 
1.3%
사 287
 
1.2%
리 286
 
1.2%
Other values (966) 19178
83.4%
Uppercase Letter
ValueCountFrequency (%)
D 295
35.2%
V 146
17.4%
T 48
 
5.7%
S 40
 
4.8%
A 35
 
4.2%
M 26
 
3.1%
P 26
 
3.1%
E 24
 
2.9%
C 24
 
2.9%
F 21
 
2.5%
Other values (16) 154
18.4%
Lowercase Letter
ValueCountFrequency (%)
e 328
 
10.3%
o 290
 
9.1%
a 289
 
9.1%
n 271
 
8.5%
i 266
 
8.4%
t 259
 
8.2%
r 204
 
6.4%
s 182
 
5.7%
c 134
 
4.2%
l 123
 
3.9%
Other values (15) 828
26.1%
Other Punctuation
ValueCountFrequency (%)
: 742
51.7%
, 263
 
18.3%
. 151
 
10.5%
! 107
 
7.5%
? 69
 
4.8%
' 38
 
2.6%
· 36
 
2.5%
& 12
 
0.8%
" 5
 
0.3%
# 4
 
0.3%
Other values (4) 8
 
0.6%
Decimal Number
ValueCountFrequency (%)
1 119
23.8%
2 82
16.4%
0 75
15.0%
3 59
11.8%
4 49
9.8%
5 38
 
7.6%
9 29
 
5.8%
6 22
 
4.4%
8 18
 
3.6%
7 10
 
2.0%
Math Symbol
ValueCountFrequency (%)
= 133
91.1%
+ 5
 
3.4%
~ 3
 
2.1%
> 1
 
0.7%
< 1
 
0.7%
× 1
 
0.7%
＋ 1
 
0.7%
| 1
 
0.7%
Open Punctuation
ValueCountFrequency (%)
( 220
60.1%
[ 141
38.5%
『 3
 
0.8%
《 1
 
0.3%
「 1
 
0.3%
Close Punctuation
ValueCountFrequency (%)
) 220
60.1%
] 141
38.5%
』 3
 
0.8%
》 1
 
0.3%
」 1
 
0.3%
Letter Number
ValueCountFrequency (%)
Ⅰ 1
33.3%
Ⅱ 1
33.3%
Ⅸ 1
33.3%
Space Separator
ValueCountFrequency (%)
7829
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 2
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 2
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 22958
60.9%
Common 10658
28.3%
Latin 4016
 
10.7%
Han 39
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 685
 
3.0%
이 633
 
2.8%
는 393
 
1.7%
자 323
 
1.4%
기 319
 
1.4%
한 306
 
1.3%
가 294
 
1.3%
지 293
 
1.3%
사 287
 
1.3%
리 286
 
1.2%
Other values (928) 19139
83.4%
Latin
ValueCountFrequency (%)
e 328
 
8.2%
D 295
 
7.3%
o 290
 
7.2%
a 289
 
7.2%
n 271
 
6.7%
i 266
 
6.6%
t 259
 
6.4%
r 204
 
5.1%
s 182
 
4.5%
V 146
 
3.6%
Other values (44) 1486
37.0%
Common
ValueCountFrequency (%)
7829
73.5%
: 742
 
7.0%
, 263
 
2.5%
( 220
 
2.1%
) 220
 
2.1%
. 151
 
1.4%
[ 141
 
1.3%
] 141
 
1.3%
= 133
 
1.2%
1 119
 
1.1%
Other values (37) 699
 
6.6%
Han
ValueCountFrequency (%)
字 2
 
5.1%
先 1
 
2.6%
新 1
 
2.6%
山 1
 
2.6%
洪 1
 
2.6%
生 1
 
2.6%
裕 1
 
2.6%
致 1
 
2.6%
無 1
 
2.6%
下 1
 
2.6%
Other values (28) 28
71.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 22947
60.9%
ASCII 14618
38.8%
None 49
 
0.1%
CJK 37
 
0.1%
Compat Jamo 11
 
< 0.1%
Punctuation 4
 
< 0.1%
Number Forms 3
 
< 0.1%
CJK Compat Ideographs 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7829
53.6%
: 742
 
5.1%
e 328
 
2.2%
D 295
 
2.0%
o 290
 
2.0%
a 289
 
2.0%
n 271
 
1.9%
i 266
 
1.8%
, 263
 
1.8%
t 259
 
1.8%
Other values (76) 3786
25.9%
Hangul
ValueCountFrequency (%)
의 685
 
3.0%
이 633
 
2.8%
는 393
 
1.7%
자 323
 
1.4%
기 319
 
1.4%
한 306
 
1.3%
가 294
 
1.3%
지 293
 
1.3%
사 287
 
1.3%
리 286
 
1.2%
Other values (920) 19128
83.4%
None
ValueCountFrequency (%)
· 36
73.5%
』 3
 
6.1%
『 3
 
6.1%
《 1
 
2.0%
》 1
 
2.0%
× 1
 
2.0%
＋ 1
 
2.0%
＆ 1
 
2.0%
」 1
 
2.0%
「 1
 
2.0%
Compat Jamo
ValueCountFrequency (%)
ㄷ 2
18.2%
ㄴ 2
18.2%
ㄱ 2
18.2%
ㅕ 1
9.1%
ㅓ 1
9.1%
ㅑ 1
9.1%
ㅏ 1
9.1%
ㆍ 1
9.1%
Punctuation
ValueCountFrequency (%)
’ 2
50.0%
‘ 2
50.0%
CJK
ValueCountFrequency (%)
字 2
 
5.4%
先 1
 
2.7%
新 1
 
2.7%
山 1
 
2.7%
洪 1
 
2.7%
生 1
 
2.7%
裕 1
 
2.7%
致 1
 
2.7%
無 1
 
2.7%
下 1
 
2.7%
Other values (26) 26
70.3%
Number Forms
ValueCountFrequency (%)
Ⅰ 1
33.3%
Ⅱ 1
33.3%
Ⅸ 1
33.3%
CJK Compat Ideographs
ValueCountFrequency (%)
論 1
50.0%
李 1
50.0%

저작자
Text

Distinct1346
Distinct (%)91.8%
Missing0
Missing (%)0.0%
Memory size11.6 KiB
2023-12-11T02:03:43.624421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length76
Median length64
Mean length13.753238
Min length4

Characters and Unicode

Total characters20176
Distinct characters628
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

Unique1268 ?
Unique (%)86.4%

Sample

1st row한국독립애니메이션협회 [제작]
2nd row젯니풋 사슁 감독
3rd row마리아노 콘 감독
4th row하성현,우지연 [공]연출 ; EBS [기획·제작]
5th row하성현 연출 ; EBS [기획·제작]
ValueCountFrequency (%)
763
 
12.9%
지음 702
 
11.9%
그림 344
 
5.8%
글 265
 
4.5%
옮김 264
 
4.5%
감독 105
 
1.8%
글·그림 81
 
1.4%
공]지음 67
 
1.1%
저 36
 
0.6%
외]지음 34
 
0.6%
Other values (2390) 3236
54.9%
2023-12-11T02:03:44.451612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4430
22.0%
지 927
 
4.6%
음 830
 
4.1%
; 763
 
3.8%
김 655
 
3.2%
그 478
 
2.4%
림 462
 
2.3%
글 402
 
2.0%
이 398
 
2.0%
옮 290
 
1.4%
Other values (618) 10541
52.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13282
65.8%
Space Separator 4430
 
22.0%
Other Punctuation 1163
 
5.8%
Lowercase Letter 530
 
2.6%
Uppercase Letter 255
 
1.3%
Close Punctuation 254
 
1.3%
Open Punctuation 254
 
1.3%
Decimal Number 4
 
< 0.1%
Dash Punctuation 2
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 927
 
7.0%
음 830
 
6.2%
김 655
 
4.9%
그 478
 
3.6%
림 462
 
3.5%
글 402
 
3.0%
이 398
 
3.0%
옮 290
 
2.2%
정 239
 
1.8%
스 193
 
1.5%
Other values (554) 8408
63.3%
Lowercase Letter
ValueCountFrequency (%)
a 75
14.2%
e 45
 
8.5%
r 45
 
8.5%
i 40
 
7.5%
n 37
 
7.0%
l 37
 
7.0%
t 36
 
6.8%
h 29
 
5.5%
o 28
 
5.3%
s 26
 
4.9%
Other values (14) 132
24.9%
Uppercase Letter
ValueCountFrequency (%)
S 41
16.1%
B 30
11.8%
J 22
 
8.6%
K 18
 
7.1%
M 18
 
7.1%
A 17
 
6.7%
E 17
 
6.7%
C 13
 
5.1%
T 12
 
4.7%
H 11
 
4.3%
Other values (11) 56
22.0%
Other Punctuation
ValueCountFrequency (%)
; 763
65.6%
, 207
 
17.8%
· 123
 
10.6%
. 63
 
5.4%
／ 3
 
0.3%
/ 2
 
0.2%
! 1
 
0.1%
@ 1
 
0.1%
Decimal Number
ValueCountFrequency (%)
9 2
50.0%
7 1
25.0%
6 1
25.0%
Close Punctuation
ValueCountFrequency (%)
] 253
99.6%
〉 1
 
0.4%
Open Punctuation
ValueCountFrequency (%)
[ 253
99.6%
〈 1
 
0.4%
Math Symbol
ValueCountFrequency (%)
< 1
50.0%
> 1
50.0%
Space Separator
ValueCountFrequency (%)
4430
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 13279
65.8%
Common 6109
30.3%
Latin 785
 
3.9%
Han 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 927
 
7.0%
음 830
 
6.3%
김 655
 
4.9%
그 478
 
3.6%
림 462
 
3.5%
글 402
 
3.0%
이 398
 
3.0%
옮 290
 
2.2%
정 239
 
1.8%
스 193
 
1.5%
Other values (552) 8405
63.3%
Latin
ValueCountFrequency (%)
a 75
 
9.6%
e 45
 
5.7%
r 45
 
5.7%
S 41
 
5.2%
i 40
 
5.1%
n 37
 
4.7%
l 37
 
4.7%
t 36
 
4.6%
B 30
 
3.8%
h 29
 
3.7%
Other values (35) 370
47.1%
Common
ValueCountFrequency (%)
4430
72.5%
; 763
 
12.5%
] 253
 
4.1%
[ 253
 
4.1%
, 207
 
3.4%
· 123
 
2.0%
. 63
 
1.0%
／ 3
 
< 0.1%
9 2
 
< 0.1%
- 2
 
< 0.1%
Other values (9) 10
 
0.2%
Han
ValueCountFrequency (%)
著 2
66.7%
譯 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 13279
65.8%
ASCII 6766
33.5%
None 128
 
0.6%
CJK 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4430
65.5%
; 763
 
11.3%
] 253
 
3.7%
[ 253
 
3.7%
, 207
 
3.1%
a 75
 
1.1%
. 63
 
0.9%
e 45
 
0.7%
r 45
 
0.7%
S 41
 
0.6%
Other values (50) 591
 
8.7%
Hangul
ValueCountFrequency (%)
지 927
 
7.0%
음 830
 
6.3%
김 655
 
4.9%
그 478
 
3.6%
림 462
 
3.5%
글 402
 
3.0%
이 398
 
3.0%
옮 290
 
2.2%
정 239
 
1.8%
스 193
 
1.5%
Other values (552) 8405
63.3%
None
ValueCountFrequency (%)
· 123
96.1%
／ 3
 
2.3%
〈 1
 
0.8%
〉 1
 
0.8%
CJK
ValueCountFrequency (%)
著 2
66.7%
譯 1
33.3%

발행자
Text

Distinct797
Distinct (%)54.3%
Missing0
Missing (%)0.0%
Memory size11.6 KiB
2023-12-11T02:03:44.880468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length23
Mean length5.8827539
Min length1

Characters and Unicode

Total characters8630
Distinct characters558
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique528 ?
Unique (%)36.0%

Sample

1st row한국독립애니메이션협회
2nd row비디오여행 [제작·판매]
3rd row더콘텐츠온:루커스 엔터테인먼트 [제작]
4th rowEBS 미디어
5th rowEBS 미디어
ValueCountFrequency (%)
제작·판매 74
 
4.4%
제작 28
 
1.6%
ebs 18
 
1.1%
인조인간 16
 
0.9%
부크크 16
 
0.9%
미디어 14
 
0.8%
미디어포유 14
 
0.8%
시공주니어:시공사 13
 
0.8%
창비 13
 
0.8%
주니어김영사:김영사 12
 
0.7%
Other values (834) 1482
87.2%
2023-12-11T02:03:45.533351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
233
 
2.7%
북 231
 
2.7%
스 230
 
2.7%
이 227
 
2.6%
사 206
 
2.4%
어 188
 
2.2%
: 187
 
2.2%
판 170
 
2.0%
미 135
 
1.6%
디 132
 
1.5%
Other values (548) 6691
77.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7242
83.9%
Lowercase Letter 427
 
4.9%
Other Punctuation 288
 
3.3%
Space Separator 233
 
2.7%
Uppercase Letter 167
 
1.9%
Open Punctuation 125
 
1.4%
Close Punctuation 125
 
1.4%
Decimal Number 20
 
0.2%
Dash Punctuation 2
 
< 0.1%
Connector Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
북 231
 
3.2%
스 230
 
3.2%
이 227
 
3.1%
사 206
 
2.8%
어 188
 
2.6%
판 170
 
2.3%
미 135
 
1.9%
디 132
 
1.8%
제 130
 
1.8%
아 120
 
1.7%
Other values (486) 5473
75.6%
Lowercase Letter
ValueCountFrequency (%)
o 85
19.9%
s 50
11.7%
i 49
11.5%
k 31
 
7.3%
e 27
 
6.3%
n 26
 
6.1%
b 22
 
5.2%
l 19
 
4.4%
r 18
 
4.2%
a 16
 
3.7%
Other values (11) 84
19.7%
Uppercase Letter
ValueCountFrequency (%)
B 41
24.6%
S 25
15.0%
E 21
12.6%
K 12
 
7.2%
M 11
 
6.6%
F 8
 
4.8%
C 7
 
4.2%
H 6
 
3.6%
J 6
 
3.6%
A 5
 
3.0%
Other values (11) 25
15.0%
Other Punctuation
ValueCountFrequency (%)
: 187
64.9%
· 92
31.9%
# 4
 
1.4%
. 2
 
0.7%
; 1
 
0.3%
& 1
 
0.3%
＆ 1
 
0.3%
Decimal Number
ValueCountFrequency (%)
2 8
40.0%
1 7
35.0%
3 2
 
10.0%
0 1
 
5.0%
9 1
 
5.0%
4 1
 
5.0%
Open Punctuation
ValueCountFrequency (%)
[ 123
98.4%
( 2
 
1.6%
Close Punctuation
ValueCountFrequency (%)
] 123
98.4%
) 2
 
1.6%
Space Separator
ValueCountFrequency (%)
233
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7205
83.5%
Common 794
 
9.2%
Latin 594
 
6.9%
Han 37
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
북 231
 
3.2%
스 230
 
3.2%
이 227
 
3.2%
사 206
 
2.9%
어 188
 
2.6%
판 170
 
2.4%
미 135
 
1.9%
디 132
 
1.8%
제 130
 
1.8%
아 120
 
1.7%
Other values (458) 5436
75.4%
Latin
ValueCountFrequency (%)
o 85
 
14.3%
s 50
 
8.4%
i 49
 
8.2%
B 41
 
6.9%
k 31
 
5.2%
e 27
 
4.5%
n 26
 
4.4%
S 25
 
4.2%
b 22
 
3.7%
E 21
 
3.5%
Other values (32) 217
36.5%
Han
ValueCountFrequency (%)
文 6
 
16.2%
光 3
 
8.1%
閣 3
 
8.1%
杏 1
 
2.7%
林 1
 
2.7%
書 1
 
2.7%
院 1
 
2.7%
法 1
 
2.7%
慕 1
 
2.7%
李 1
 
2.7%
Other values (18) 18
48.6%
Common
ValueCountFrequency (%)
233
29.3%
: 187
23.6%
[ 123
15.5%
] 123
15.5%
· 92
 
11.6%
2 8
 
1.0%
1 7
 
0.9%
# 4
 
0.5%
3 2
 
0.3%
. 2
 
0.3%
Other values (10) 13
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7205
83.5%
ASCII 1295
 
15.0%
None 93
 
1.1%
CJK 36
 
0.4%
CJK Compat Ideographs 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
233
18.0%
: 187
14.4%
[ 123
 
9.5%
] 123
 
9.5%
o 85
 
6.6%
s 50
 
3.9%
i 49
 
3.8%
B 41
 
3.2%
k 31
 
2.4%
e 27
 
2.1%
Other values (50) 346
26.7%
Hangul
ValueCountFrequency (%)
북 231
 
3.2%
스 230
 
3.2%
이 227
 
3.2%
사 206
 
2.9%
어 188
 
2.6%
판 170
 
2.4%
미 135
 
1.9%
디 132
 
1.8%
제 130
 
1.8%
아 120
 
1.7%
Other values (458) 5436
75.4%
None
ValueCountFrequency (%)
· 92
98.9%
＆ 1
 
1.1%
CJK
ValueCountFrequency (%)
文 6
 
16.7%
光 3
 
8.3%
閣 3
 
8.3%
杏 1
 
2.8%
林 1
 
2.8%
書 1
 
2.8%
院 1
 
2.8%
法 1
 
2.8%
慕 1
 
2.8%
好 1
 
2.8%
Other values (17) 17
47.2%
CJK Compat Ideographs
ValueCountFrequency (%)
李 1
100.0%

발행년
Real number (ℝ)

Distinct7
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2019.7178
Minimum2012
Maximum2020
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.0 KiB
2023-12-11T02:03:45.733755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2012
5-th percentile2019
Q12020
median2020
Q32020
95-th percentile2020
Maximum2020
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.63609358
Coefficient of variation (CV)0.00031494181
Kurtosis23.175368
Mean2019.7178
Median Absolute Deviation (MAD)0
Skewness-3.6753168
Sum2962926
Variance0.40461504
MonotonicityNot monotonic
2023-12-11T02:03:45.947594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
2020 1142
77.8%
2019 272
 
18.5%
2018 29
 
2.0%
2017 17
 
1.2%
2016 5
 
0.3%
2012 1
 
0.1%
2015 1
 
0.1%
ValueCountFrequency (%)
2012 1
 
0.1%
2015 1
 
0.1%
2016 5
 
0.3%
2017 17
 
1.2%
2018 29
 
2.0%
2019 272
 
18.5%
2020 1142
77.8%
ValueCountFrequency (%)
2020 1142
77.8%
2019 272
 
18.5%
2018 29
 
2.0%
2017 17
 
1.2%
2016 5
 
0.3%
2015 1
 
0.1%
2012 1
 
0.1%

자료실명
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size11.6 KiB
[정관]종합자료열람실
809 
[정관]어린이자료실
518 
[정관]멀티미디어실
140 

Length

Max length11
Median length11
Mean length10.551466
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row[정관]멀티미디어실
2nd row[정관]멀티미디어실
3rd row[정관]멀티미디어실
4th row[정관]멀티미디어실
5th row[정관]멀티미디어실

Common Values

ValueCountFrequency (%)
[정관]종합자료열람실 809
55.1%
[정관]어린이자료실 518
35.3%
[정관]멀티미디어실 140
 
9.5%

Length

2023-12-11T02:03:46.193366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:03:46.430330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정관]종합자료열람실 809
55.1%
정관]어린이자료실 518
35.3%
정관]멀티미디어실 140
 
9.5%

Interactions

2023-12-11T02:03:40.814281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:03:40.484453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:03:40.953914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:03:40.644942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T02:03:46.638430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번발행년자료실명
순번1.0000.4330.957
발행년0.4331.0000.479
자료실명0.9570.4791.000
2023-12-11T02:03:46.810944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번발행년자료실명
순번1.000-0.0700.952
발행년-0.0701.0000.225
자료실명0.9520.2251.000

Missing values

2023-12-11T02:03:41.173881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T02:03:41.355619image/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

순번서명저작자발행자발행년자료실명
01(2019) 인디애니페스트 수상작 모음집 [DVD 녹화자료]=Korea independent animation film festival. Vol.13한국독립애니메이션협회 [제작]한국독립애니메이션협회2020[정관]멀티미디어실
12400 [DVD 녹화자료] : 제국의 부활젯니풋 사슁 감독비디오여행 [제작·판매]2020[정관]멀티미디어실
234x4 [DVD 녹화자료] : 탑승을 환영합니다마리아노 콘 감독더콘텐츠온:루커스 엔터테인먼트 [제작]2020[정관]멀티미디어실
34아기는 어떻게 생기나요? [DVD 녹화자료]하성현,우지연 [공]연출 ; EBS [기획·제작]EBS 미디어2020[정관]멀티미디어실
45아기 탄생의 비밀 [DVD 녹화자료]하성현 연출 ; EBS [기획·제작]EBS 미디어2020[정관]멀티미디어실
56너를 만났다 [DVD 녹화자료] : VR 휴먼다큐멘터리김종우 연출 ; MBC 기획·제작미디어포유 [판매]2020[정관]멀티미디어실
67가장 보통의 연애 [DVD 녹화자료]=Crazy romance김한결 감독영화사 집 [공급·제작]2020[정관]멀티미디어실
78고흐, 영원의 문에서 [DVD 녹화자료]줄리안 슈나벨 감독인조인간 [제작·판매]2020[정관]멀티미디어실
89굿바이 그레이스 [DVD 녹화자료]제임스 C. 스트로즈 감독미디어연가 [제작·판매]2020[정관]멀티미디어실
910나랏말싸미 [DVD 녹화자료]조철현 감독인조인간 [제작·판매]2020[정관]멀티미디어실
순번서명저작자발행자발행년자료실명
14571458핫토리 씨 가족의 도시 수렵 분투기핫토리 고유키,핫토리 분쇼 [공]글 ; 핫토리 고유키 그림 ; 황세정 옮김더숲2020[정관]종합자료열람실
14581459해파랑길 몽돌소리 : 자아성찰 노트남상호 글·사진산책2020[정관]종합자료열람실
14591460행복한 여정 50년박명윤 지음파랑새미디어2020[정관]종합자료열람실
14601461행운이 너에게 다가오는 중 : 이꽃님 장편소설이꽃님 지음문학동네2020[정관]종합자료열람실
14611462혈당이 쑥 내려가는 7초 스쿼트 : 1주일에 단 2번, 하루 3분 당뇨 잡는 기적의 운동법!우사미 게이지 지음 ; 김민정 옮김당근북2020[정관]종합자료열람실
14621463홈 브런치=Home brunch : 도쿄를 사로잡은 베이커리 '365일'의 비밀 레시피스기쿠보 아키마사 지음 ; 임지인 옮김나무수2020[정관]종합자료열람실
14631464(돈 들이지 않고 혼자 할 수 있는)홈스테이징×인테리어조석균 지음더블북2020[정관]종합자료열람실
14641465환상의 동네서점 : 배지영 에세이배지영 지음새움2020[정관]종합자료열람실
14651466회사 가긴 싫지만 돈은 벌고 싶어 : 고개가 절레절레_직장인 절레동화묘한량 글·그림Korea.com2020[정관]종합자료열람실
14661467흥청망청 살아도 우린 행복할 거야박은정 외 지음도마뱀2020[정관]종합자료열람실