Overview

Dataset statistics

Number of variables6
Number of observations2372
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory115.9 KiB
Average record size in memory50.1 B

Variable types

Numeric2
Text3
Categorical1

Dataset

Description부산광역시기장군_정관도서관신착자료현황_20220630
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 17:01:21.429342
Analysis finished2023-12-10 17:01:24.207059
Duration2.78 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct2372
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1186.5
Minimum1
Maximum2372
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.0 KiB
2023-12-11T02:01:24.315546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile119.55
Q1593.75
median1186.5
Q31779.25
95-th percentile2253.45
Maximum2372
Range2371
Interquartile range (IQR)1185.5

Descriptive statistics

Standard deviation684.88174
Coefficient of variation (CV)0.57722861
Kurtosis-1.2
Mean1186.5
Median Absolute Deviation (MAD)593
Skewness0
Sum2814378
Variance469063
MonotonicityStrictly increasing
2023-12-11T02:01:24.527344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
1578 1
 
< 0.1%
1580 1
 
< 0.1%
1581 1
 
< 0.1%
1582 1
 
< 0.1%
1583 1
 
< 0.1%
1584 1
 
< 0.1%
1585 1
 
< 0.1%
1586 1
 
< 0.1%
1587 1
 
< 0.1%
Other values (2362) 2362
99.6%
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 (%)
2372 1
< 0.1%
2371 1
< 0.1%
2370 1
< 0.1%
2369 1
< 0.1%
2368 1
< 0.1%
2367 1
< 0.1%
2366 1
< 0.1%
2365 1
< 0.1%
2364 1
< 0.1%
2363 1
< 0.1%

서명
Text

Distinct2344
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Memory size18.7 KiB
2023-12-11T02:01:24.981458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length103
Median length68
Mean length26.005902
Min length1

Characters and Unicode

Total characters61686
Distinct characters1122
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

Unique2318 ?
Unique (%)97.7%

Sample

1st row(매일매일 입고 싶은) 심플 데일리 키즈룩 : 패턴부터 남다른 아이 옷 스타일 북
2nd row100억 젊은 부자들이 온다 : 3040 평범한 부자들의 현실판 100억 만들기 프로젝트
3rd row(10대라면 반드시 알아야 할) 4차 산업혁명과 인공지능 : 미래를 바꾸는 디지털 시대와 인공지능을 이해하는 44가지 질문들
4th row10대를 위한 성교육 : 여의사 선생님들의 사춘기 처방전
5th row(1페이지로 시작하는) 미술 수업 : 작품, 화가, 역사, 신화로 배우는 미술 이야기
ValueCountFrequency (%)
1251
 
8.1%
큰글자도서 178
 
1.2%
더책 166
 
1.1%
the 161
 
1.0%
이야기 89
 
0.6%
위한 72
 
0.5%
a 69
 
0.4%
and 65
 
0.4%
장편소설 58
 
0.4%
1 55
 
0.4%
Other values (7759) 13230
85.9%
2023-12-11T02:01:25.660336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
13023
 
21.1%
: 1253
 
2.0%
e 1099
 
1.8%
의 976
 
1.6%
이 927
 
1.5%
는 785
 
1.3%
o 760
 
1.2%
a 698
 
1.1%
t 675
 
1.1%
n 613
 
1.0%
Other values (1112) 40877
66.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 34384
55.7%
Space Separator 13023
 
21.1%
Lowercase Letter 8561
 
13.9%
Other Punctuation 2354
 
3.8%
Uppercase Letter 1092
 
1.8%
Decimal Number 905
 
1.5%
Open Punctuation 613
 
1.0%
Close Punctuation 613
 
1.0%
Math Symbol 119
 
0.2%
Dash Punctuation 16
 
< 0.1%
Other values (4) 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 976
 
2.8%
이 927
 
2.7%
는 785
 
2.3%
자 554
 
1.6%
기 527
 
1.5%
가 479
 
1.4%
한 442
 
1.3%
지 435
 
1.3%
서 435
 
1.3%
다 413
 
1.2%
Other values (1013) 28411
82.6%
Lowercase Letter
ValueCountFrequency (%)
e 1099
12.8%
o 760
 
8.9%
a 698
 
8.2%
t 675
 
7.9%
n 613
 
7.2%
s 591
 
6.9%
i 578
 
6.8%
r 565
 
6.6%
h 429
 
5.0%
l 382
 
4.5%
Other values (16) 2171
25.4%
Uppercase Letter
ValueCountFrequency (%)
T 153
14.0%
S 83
 
7.6%
B 74
 
6.8%
C 66
 
6.0%
F 65
 
6.0%
M 64
 
5.9%
A 61
 
5.6%
I 58
 
5.3%
G 52
 
4.8%
P 48
 
4.4%
Other values (16) 368
33.7%
Other Punctuation
ValueCountFrequency (%)
: 1253
53.2%
, 481
 
20.4%
. 263
 
11.2%
! 182
 
7.7%
' 91
 
3.9%
· 42
 
1.8%
" 7
 
0.3%
& 7
 
0.3%
… 6
 
0.3%
/ 5
 
0.2%
Other values (8) 17
 
0.7%
Decimal Number
ValueCountFrequency (%)
1 238
26.3%
0 187
20.7%
2 141
15.6%
5 84
 
9.3%
3 74
 
8.2%
4 54
 
6.0%
9 40
 
4.4%
7 36
 
4.0%
6 27
 
3.0%
8 24
 
2.7%
Open Punctuation
ValueCountFrequency (%)
( 353
57.6%
[ 256
41.8%
《 2
 
0.3%
『 1
 
0.2%
〈 1
 
0.2%
Close Punctuation
ValueCountFrequency (%)
) 353
57.6%
] 256
41.8%
》 2
 
0.3%
』 1
 
0.2%
〉 1
 
0.2%
Math Symbol
ValueCountFrequency (%)
= 108
90.8%
~ 9
 
7.6%
+ 2
 
1.7%
Space Separator
ValueCountFrequency (%)
13023
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 3
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 1
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 34350
55.7%
Common 17649
28.6%
Latin 9653
 
15.6%
Han 34
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 976
 
2.8%
이 927
 
2.7%
는 785
 
2.3%
자 554
 
1.6%
기 527
 
1.5%
가 479
 
1.4%
한 442
 
1.3%
지 435
 
1.3%
서 435
 
1.3%
다 413
 
1.2%
Other values (987) 28377
82.6%
Latin
ValueCountFrequency (%)
e 1099
 
11.4%
o 760
 
7.9%
a 698
 
7.2%
t 675
 
7.0%
n 613
 
6.4%
s 591
 
6.1%
i 578
 
6.0%
r 565
 
5.9%
h 429
 
4.4%
l 382
 
4.0%
Other values (42) 3263
33.8%
Common
ValueCountFrequency (%)
13023
73.8%
: 1253
 
7.1%
, 481
 
2.7%
( 353
 
2.0%
) 353
 
2.0%
. 263
 
1.5%
[ 256
 
1.5%
] 256
 
1.5%
1 238
 
1.3%
0 187
 
1.1%
Other values (37) 986
 
5.6%
Han
ValueCountFrequency (%)
戰 3
 
8.8%
運 2
 
5.9%
典 2
 
5.9%
古 2
 
5.9%
苦 2
 
5.9%
史 2
 
5.9%
正 2
 
5.9%
再 1
 
2.9%
街 1
 
2.9%
蛟 1
 
2.9%
Other values (16) 16
47.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 34347
55.7%
ASCII 27236
44.2%
None 58
 
0.1%
CJK 34
 
0.1%
Punctuation 8
 
< 0.1%
Compat Jamo 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
13023
47.8%
: 1253
 
4.6%
e 1099
 
4.0%
o 760
 
2.8%
a 698
 
2.6%
t 675
 
2.5%
n 613
 
2.3%
s 591
 
2.2%
i 578
 
2.1%
r 565
 
2.1%
Other values (75) 7381
27.1%
Hangul
ValueCountFrequency (%)
의 976
 
2.8%
이 927
 
2.7%
는 785
 
2.3%
자 554
 
1.6%
기 527
 
1.5%
가 479
 
1.4%
한 442
 
1.3%
지 435
 
1.3%
서 435
 
1.3%
다 413
 
1.2%
Other values (984) 28374
82.6%
None
ValueCountFrequency (%)
· 42
72.4%
％ 3
 
5.2%
／ 2
 
3.4%
《 2
 
3.4%
＆ 2
 
3.4%
》 2
 
3.4%
『 1
 
1.7%
』 1
 
1.7%
〈 1
 
1.7%
〉 1
 
1.7%
Punctuation
ValueCountFrequency (%)
… 6
75.0%
‘ 1
 
12.5%
’ 1
 
12.5%
CJK
ValueCountFrequency (%)
戰 3
 
8.8%
運 2
 
5.9%
典 2
 
5.9%
古 2
 
5.9%
苦 2
 
5.9%
史 2
 
5.9%
正 2
 
5.9%
再 1
 
2.9%
街 1
 
2.9%
蛟 1
 
2.9%
Other values (16) 16
47.1%
Compat Jamo
ValueCountFrequency (%)
ㄱ 1
33.3%
ㄴ 1
33.3%
ㄷ 1
33.3%

저작자
Text

Distinct2104
Distinct (%)88.7%
Missing0
Missing (%)0.0%
Memory size18.7 KiB
2023-12-11T02:01:26.185082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length128
Median length91
Mean length16.801012
Min length3

Characters and Unicode

Total characters39852
Distinct characters692
Distinct categories13 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1949 ?
Unique (%)82.2%

Sample

1st row가타가이 유키 지음 ; 남궁가윤 옮김
2nd row신희은 지음
3rd row신성권,서대호 지음 ; 손영오 그림
4th row이미정,이은실,이정,서유미 지음
5th row김영숙 지음
ValueCountFrequency (%)
1292
 
12.4%
지음 1282
 
12.3%
옮김 584
 
5.6%
by 477
 
4.6%
그림 436
 
4.2%
글 341
 
3.3%
글·그림 155
 
1.5%
illustrated 120
 
1.1%
공]지음 63
 
0.6%
외 54
 
0.5%
Other values (3926) 5651
54.1%
2023-12-11T02:01:27.179437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8090
 
20.3%
지 1528
 
3.8%
음 1371
 
3.4%
; 1290
 
3.2%
김 1061
 
2.7%
e 897
 
2.3%
a 843
 
2.1%
l 734
 
1.8%
i 714
 
1.8%
r 705
 
1.8%
Other values (682) 22619
56.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 19161
48.1%
Lowercase Letter 8881
22.3%
Space Separator 8090
20.3%
Other Punctuation 1869
 
4.7%
Uppercase Letter 1319
 
3.3%
Open Punctuation 248
 
0.6%
Close Punctuation 248
 
0.6%
Dash Punctuation 18
 
< 0.1%
Decimal Number 9
 
< 0.1%
Math Symbol 6
 
< 0.1%
Other values (3) 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 1528
 
8.0%
음 1371
 
7.2%
김 1061
 
5.5%
이 644
 
3.4%
그 639
 
3.3%
림 622
 
3.2%
옮 600
 
3.1%
글 546
 
2.8%
정 291
 
1.5%
스 278
 
1.5%
Other values (611) 11581
60.4%
Lowercase Letter
ValueCountFrequency (%)
e 897
10.1%
a 843
9.5%
l 734
 
8.3%
i 714
 
8.0%
r 705
 
7.9%
t 671
 
7.6%
n 645
 
7.3%
y 640
 
7.2%
b 539
 
6.1%
s 459
 
5.2%
Other values (16) 2034
22.9%
Uppercase Letter
ValueCountFrequency (%)
M 123
 
9.3%
S 107
 
8.1%
A 101
 
7.7%
J 99
 
7.5%
B 95
 
7.2%
L 74
 
5.6%
C 74
 
5.6%
D 74
 
5.6%
R 67
 
5.1%
T 67
 
5.1%
Other values (14) 438
33.2%
Other Punctuation
ValueCountFrequency (%)
; 1290
69.0%
, 314
 
16.8%
· 173
 
9.3%
. 82
 
4.4%
' 8
 
0.4%
& 2
 
0.1%
Decimal Number
ValueCountFrequency (%)
2 4
44.4%
1 3
33.3%
0 1
 
11.1%
7 1
 
11.1%
Open Punctuation
ValueCountFrequency (%)
[ 243
98.0%
( 5
 
2.0%
Close Punctuation
ValueCountFrequency (%)
] 243
98.0%
) 5
 
2.0%
Math Symbol
ValueCountFrequency (%)
＞ 3
50.0%
＜ 3
50.0%
Space Separator
ValueCountFrequency (%)
8090
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 18
100.0%
Control
ValueCountFrequency (%)
1
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 1
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 19161
48.1%
Common 10491
26.3%
Latin 10200
25.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 1528
 
8.0%
음 1371
 
7.2%
김 1061
 
5.5%
이 644
 
3.4%
그 639
 
3.3%
림 622
 
3.2%
옮 600
 
3.1%
글 546
 
2.8%
정 291
 
1.5%
스 278
 
1.5%
Other values (611) 11581
60.4%
Latin
ValueCountFrequency (%)
e 897
 
8.8%
a 843
 
8.3%
l 734
 
7.2%
i 714
 
7.0%
r 705
 
6.9%
t 671
 
6.6%
n 645
 
6.3%
y 640
 
6.3%
b 539
 
5.3%
s 459
 
4.5%
Other values (40) 3353
32.9%
Common
ValueCountFrequency (%)
8090
77.1%
; 1290
 
12.3%
, 314
 
3.0%
[ 243
 
2.3%
] 243
 
2.3%
· 173
 
1.6%
. 82
 
0.8%
- 18
 
0.2%
' 8
 
0.1%
( 5
 
< 0.1%
Other values (11) 25
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 20510
51.5%
Hangul 19158
48.1%
None 179
 
0.4%
Compat Jamo 3
 
< 0.1%
Punctuation 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8090
39.4%
; 1290
 
6.3%
e 897
 
4.4%
a 843
 
4.1%
l 734
 
3.6%
i 714
 
3.5%
r 705
 
3.4%
t 671
 
3.3%
n 645
 
3.1%
y 640
 
3.1%
Other values (56) 5281
25.7%
Hangul
ValueCountFrequency (%)
지 1528
 
8.0%
음 1371
 
7.2%
김 1061
 
5.5%
이 644
 
3.4%
그 639
 
3.3%
림 622
 
3.2%
옮 600
 
3.1%
글 546
 
2.8%
정 291
 
1.5%
스 278
 
1.5%
Other values (610) 11578
60.4%
None
ValueCountFrequency (%)
· 173
96.6%
＞ 3
 
1.7%
＜ 3
 
1.7%
Compat Jamo
ValueCountFrequency (%)
ㆍ 3
100.0%
Punctuation
ValueCountFrequency (%)
‘ 1
50.0%
’ 1
50.0%

발행자
Text

Distinct1080
Distinct (%)45.5%
Missing0
Missing (%)0.0%
Memory size18.7 KiB
2023-12-11T02:01:27.691093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length37
Mean length6.5257167
Min length1

Characters and Unicode

Total characters15479
Distinct characters559
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

Unique676 ?
Unique (%)28.5%

Sample

1st row한스미디어:한즈미디어
2nd row길벗
3rd row팬덤북스
4th row꿈꿀자유
5th row빅피시
ValueCountFrequency (%)
books 85
 
2.9%
publishing 61
 
2.1%
usborne 51
 
1.8%
스푼북 38
 
1.3%
scholastic 37
 
1.3%
위즈덤하우스 29
 
1.0%
천개의바람 25
 
0.9%
22
 
0.8%
문학동네 21
 
0.7%
inc 21
 
0.7%
Other values (1131) 2511
86.6%
2023-12-11T02:01:28.565537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
o 617
 
4.0%
531
 
3.4%
s 462
 
3.0%
e 434
 
2.8%
i 433
 
2.8%
n 428
 
2.8%
스 419
 
2.7%
r 399
 
2.6%
북 330
 
2.1%
l 311
 
2.0%
Other values (549) 11115
71.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8591
55.5%
Lowercase Letter 5066
32.7%
Uppercase Letter 985
 
6.4%
Space Separator 531
 
3.4%
Other Punctuation 276
 
1.8%
Decimal Number 20
 
0.1%
Open Punctuation 5
 
< 0.1%
Close Punctuation 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 419
 
4.9%
북 330
 
3.8%
이 277
 
3.2%
사 215
 
2.5%
아 180
 
2.1%
어 169
 
2.0%
리 168
 
2.0%
미 115
 
1.3%
비 113
 
1.3%
문 106
 
1.2%
Other values (485) 6499
75.6%
Lowercase Letter
ValueCountFrequency (%)
o 617
12.2%
s 462
 
9.1%
e 434
 
8.6%
i 433
 
8.5%
n 428
 
8.4%
r 399
 
7.9%
l 311
 
6.1%
a 302
 
6.0%
h 196
 
3.9%
t 173
 
3.4%
Other values (16) 1311
25.9%
Uppercase Letter
ValueCountFrequency (%)
B 157
15.9%
P 125
12.7%
S 99
10.1%
C 81
 
8.2%
H 67
 
6.8%
U 57
 
5.8%
K 45
 
4.6%
R 42
 
4.3%
G 35
 
3.6%
A 32
 
3.2%
Other values (15) 245
24.9%
Other Punctuation
ValueCountFrequency (%)
: 197
71.4%
& 24
 
8.7%
. 22
 
8.0%
' 20
 
7.2%
, 8
 
2.9%
＆ 3
 
1.1%
/ 1
 
0.4%
＇ 1
 
0.4%
Decimal Number
ValueCountFrequency (%)
2 14
70.0%
1 6
30.0%
Space Separator
ValueCountFrequency (%)
531
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8591
55.5%
Latin 6051
39.1%
Common 837
 
5.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 419
 
4.9%
북 330
 
3.8%
이 277
 
3.2%
사 215
 
2.5%
아 180
 
2.1%
어 169
 
2.0%
리 168
 
2.0%
미 115
 
1.3%
비 113
 
1.3%
문 106
 
1.2%
Other values (485) 6499
75.6%
Latin
ValueCountFrequency (%)
o 617
 
10.2%
s 462
 
7.6%
e 434
 
7.2%
i 433
 
7.2%
n 428
 
7.1%
r 399
 
6.6%
l 311
 
5.1%
a 302
 
5.0%
h 196
 
3.2%
t 173
 
2.9%
Other values (41) 2296
37.9%
Common
ValueCountFrequency (%)
531
63.4%
: 197
 
23.5%
& 24
 
2.9%
. 22
 
2.6%
' 20
 
2.4%
2 14
 
1.7%
, 8
 
1.0%
1 6
 
0.7%
( 5
 
0.6%
) 5
 
0.6%
Other values (3) 5
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8591
55.5%
ASCII 6884
44.5%
None 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
o 617
 
9.0%
531
 
7.7%
s 462
 
6.7%
e 434
 
6.3%
i 433
 
6.3%
n 428
 
6.2%
r 399
 
5.8%
l 311
 
4.5%
a 302
 
4.4%
: 197
 
2.9%
Other values (52) 2770
40.2%
Hangul
ValueCountFrequency (%)
스 419
 
4.9%
북 330
 
3.8%
이 277
 
3.2%
사 215
 
2.5%
아 180
 
2.1%
어 169
 
2.0%
리 168
 
2.0%
미 115
 
1.3%
비 113
 
1.3%
문 106
 
1.2%
Other values (485) 6499
75.6%
None
ValueCountFrequency (%)
＆ 3
75.0%
＇ 1
 
25.0%

발행년
Real number (ℝ)

Distinct19
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2021.0666
Minimum1985
Maximum2022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.0 KiB
2023-12-11T02:01:28.817714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1985
5-th percentile2018
Q12021
median2022
Q32022
95-th percentile2022
Maximum2022
Range37
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.3201641
Coefficient of variation (CV)0.0011479899
Kurtosis40.346858
Mean2021.0666
Median Absolute Deviation (MAD)0
Skewness-5.0845366
Sum4793970
Variance5.3831613
MonotonicityNot monotonic
2023-12-11T02:01:29.050962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
2022 1547
65.2%
2021 408
 
17.2%
2020 230
 
9.7%
2019 59
 
2.5%
2010 22
 
0.9%
2013 22
 
0.9%
2012 18
 
0.8%
2017 16
 
0.7%
2018 16
 
0.7%
2014 10
 
0.4%
Other values (9) 24
 
1.0%
ValueCountFrequency (%)
1985 1
 
< 0.1%
1998 1
 
< 0.1%
2006 1
 
< 0.1%
2007 6
 
0.3%
2008 2
 
0.1%
2009 2
 
0.1%
2010 22
0.9%
2011 2
 
0.1%
2012 18
0.8%
2013 22
0.9%
ValueCountFrequency (%)
2022 1547
65.2%
2021 408
 
17.2%
2020 230
 
9.7%
2019 59
 
2.5%
2018 16
 
0.7%
2017 16
 
0.7%
2016 3
 
0.1%
2015 6
 
0.3%
2014 10
 
0.4%
2013 22
 
0.9%

자료실명
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.7 KiB
[정관]종합자료열람실
1350 
[정관]어린이자료실
1015 
[정관]스마트도서관
 
7

Length

Max length11
Median length11
Mean length10.56914
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
[정관]종합자료열람실 1350
56.9%
[정관]어린이자료실 1015
42.8%
[정관]스마트도서관 7
 
0.3%

Length

2023-12-11T02:01:29.321904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:01:29.529165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정관]종합자료열람실 1350
56.9%
정관]어린이자료실 1015
42.8%
정관]스마트도서관 7
 
0.3%

Interactions

2023-12-11T02:01:23.667710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:01:23.367305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:01:23.805823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:01:23.517925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T02:01:29.664761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번발행년자료실명
순번1.0000.3390.702
발행년0.3391.0000.353
자료실명0.7020.3531.000
2023-12-11T02:01:29.817149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번발행년자료실명
순번1.000-0.1290.559
발행년-0.1291.0000.156
자료실명0.5590.1561.000

Missing values

2023-12-11T02:01:23.991244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T02:01:24.143342image/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.

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