Overview

Dataset statistics

Number of variables14
Number of observations10000
Missing cells716
Missing cells (%)0.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.2 MiB
Average record size in memory122.0 B

Variable types

DateTime2
Categorical4
Text6
Numeric2

Dataset

Description이천시립도서관의 서지 추가 정보로서 마크생성일, 자관입력일, 마크종류, 서명, 저자, 출판사, 청구기호, 출판년도, 저자기호, 언어, 국가, 페이지, 국제표준도서번호, 소장처에대한 정보를 제공합니다.
Author경기도 이천시
URLhttps://www.data.go.kr/data/15037752/fileData.do

Alerts

출판사 is highly overall correlated with 출판년High correlation
출판년 is highly overall correlated with 출판사High correlation
마크종류 is highly imbalanced (98.7%)Imbalance
언어 is highly imbalanced (92.6%)Imbalance
국가 is highly imbalanced (71.9%)Imbalance
출판사 has 213 (2.1%) missing valuesMissing
출판년 has 213 (2.1%) missing valuesMissing
출판사 is highly skewed (γ1 = 69.45931259)Skewed
출판년 is highly skewed (γ1 = 69.45931259)Skewed

Reproduction

Analysis started2024-03-14 16:11:58.208741
Analysis finished2024-03-14 16:12:04.847726
Duration6.64 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

마크생성일
Date

Distinct612
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2003-01-24 00:00:00
Maximum2023-12-28 00:00:00
2024-03-15T01:12:05.037363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:12:05.466779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

자관입력일
Date

Distinct278
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2022-09-01 00:00:00
Maximum2023-12-29 00:00:00
2024-03-15T01:12:05.909143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:12:06.336668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

마크종류
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
cm
9980 
cv
 
19
cc
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st rowcm
2nd rowcm
3rd rowcm
4th rowcm
5th rowcm

Common Values

ValueCountFrequency (%)
cm 9980
99.8%
cv 19
 
0.2%
cc 1
 
< 0.1%

Length

2024-03-15T01:12:06.765711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T01:12:07.080039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
cm 9980
99.8%
cv 19
 
0.2%
cc 1
 
< 0.1%

서명
Text

Distinct8481
Distinct (%)84.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-03-15T01:12:08.474053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length129
Median length78
Mean length23.1943
Min length1

Characters and Unicode

Total characters231943
Distinct characters1483
Distinct categories15 ?
Distinct scripts6 ?
Distinct blocks12 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7365 ?
Unique (%)73.7%

Sample

1st row계산된 삶
2nd row(3년 후 부의 흐름이 보이는)경제지표 정독법 : 거시경제의 거장 김영익이 미래를 읽는 법
3rd row꿈과 도전
4th row좋은 투자, 나쁜 투자, 이상한 투자
5th row위대한 경제학 고전 30권을 1권으로 읽는 책
ValueCountFrequency (%)
7228
 
11.5%
1 342
 
0.5%
장편소설 328
 
0.5%
위한 306
 
0.5%
2 301
 
0.5%
이야기 299
 
0.5%
그림책 249
 
0.4%
내 212
 
0.3%
우리 167
 
0.3%
3 165
 
0.3%
Other values (20077) 53256
84.7%
2024-03-15T01:12:10.474401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
52873
 
22.8%
: 4241
 
1.8%
의 4137
 
1.8%
이 4013
 
1.7%
는 3218
 
1.4%
, 2273
 
1.0%
한 2134
 
0.9%
기 2059
 
0.9%
가 2053
 
0.9%
사 1935
 
0.8%
Other values (1473) 153007
66.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 144544
62.3%
Space Separator 52873
 
22.8%
Lowercase Letter 11631
 
5.0%
Other Punctuation 9928
 
4.3%
Decimal Number 5958
 
2.6%
Uppercase Letter 2156
 
0.9%
Close Punctuation 1884
 
0.8%
Open Punctuation 1883
 
0.8%
Dash Punctuation 705
 
0.3%
Math Symbol 352
 
0.2%
Other values (5) 29
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 4137
 
2.9%
이 4013
 
2.8%
는 3218
 
2.2%
한 2134
 
1.5%
기 2059
 
1.4%
가 2053
 
1.4%
사 1935
 
1.3%
지 1925
 
1.3%
리 1878
 
1.3%
다 1788
 
1.2%
Other values (1371) 119404
82.6%
Lowercase Letter
ValueCountFrequency (%)
e 1403
12.1%
o 1039
 
8.9%
a 982
 
8.4%
n 888
 
7.6%
i 852
 
7.3%
t 796
 
6.8%
r 781
 
6.7%
s 728
 
6.3%
l 542
 
4.7%
h 508
 
4.4%
Other values (17) 3112
26.8%
Uppercase Letter
ValueCountFrequency (%)
T 249
 
11.5%
S 174
 
8.1%
G 172
 
8.0%
D 142
 
6.6%
A 139
 
6.4%
P 133
 
6.2%
I 119
 
5.5%
M 117
 
5.4%
B 113
 
5.2%
W 91
 
4.2%
Other values (16) 707
32.8%
Other Punctuation
ValueCountFrequency (%)
: 4241
42.7%
, 2273
22.9%
. 1701
17.1%
! 791
 
8.0%
? 457
 
4.6%
· 171
 
1.7%
' 164
 
1.7%
＇ 39
 
0.4%
& 31
 
0.3%
% 24
 
0.2%
Other values (6) 36
 
0.4%
Decimal Number
ValueCountFrequency (%)
1 1540
25.8%
2 993
16.7%
0 727
12.2%
3 670
11.2%
4 559
 
9.4%
5 471
 
7.9%
6 278
 
4.7%
7 246
 
4.1%
9 245
 
4.1%
8 229
 
3.8%
Math Symbol
ValueCountFrequency (%)
= 268
76.1%
~ 39
 
11.1%
> 18
 
5.1%
< 18
 
5.1%
+ 4
 
1.1%
× 3
 
0.9%
＋ 1
 
0.3%
| 1
 
0.3%
Close Punctuation
ValueCountFrequency (%)
) 1255
66.6%
] 628
33.3%
》 1
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 1254
66.6%
[ 628
33.4%
《 1
 
0.1%
Letter Number
ValueCountFrequency (%)
Ⅱ 7
63.6%
Ⅰ 4
36.4%
Other Symbol
ValueCountFrequency (%)
○ 2
66.7%
ⓔ 1
33.3%
Space Separator
ValueCountFrequency (%)
52873
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 705
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 7
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 6
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 144398
62.3%
Common 73601
31.7%
Latin 13798
 
5.9%
Han 131
 
0.1%
Katakana 9
 
< 0.1%
Hiragana 6
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 4137
 
2.9%
이 4013
 
2.8%
는 3218
 
2.2%
한 2134
 
1.5%
기 2059
 
1.4%
가 2053
 
1.4%
사 1935
 
1.3%
지 1925
 
1.3%
리 1878
 
1.3%
다 1788
 
1.2%
Other values (1288) 119258
82.6%
Han
ValueCountFrequency (%)
善 6
 
4.6%
決 6
 
4.6%
戰 5
 
3.8%
別 5
 
3.8%
最 5
 
3.8%
特 5
 
3.8%
繼 4
 
3.1%
承 4
 
3.1%
定 4
 
3.1%
件 4
 
3.1%
Other values (59) 83
63.4%
Latin
ValueCountFrequency (%)
e 1403
 
10.2%
o 1039
 
7.5%
a 982
 
7.1%
n 888
 
6.4%
i 852
 
6.2%
t 796
 
5.8%
r 781
 
5.7%
s 728
 
5.3%
l 542
 
3.9%
h 508
 
3.7%
Other values (45) 5279
38.3%
Common
ValueCountFrequency (%)
52873
71.8%
: 4241
 
5.8%
, 2273
 
3.1%
. 1701
 
2.3%
1 1540
 
2.1%
) 1255
 
1.7%
( 1254
 
1.7%
2 993
 
1.3%
! 791
 
1.1%
0 727
 
1.0%
Other values (37) 5953
 
8.1%
Katakana
ValueCountFrequency (%)
ッ 2
22.2%
リ 1
11.1%
ス 1
11.1%
グ 1
11.1%
ド 1
11.1%
ン 1
11.1%
ウ 1
11.1%
サ 1
11.1%
Hiragana
ValueCountFrequency (%)
ん 1
16.7%
け 1
16.7%
う 1
16.7%
ぼ 1
16.7%
い 1
16.7%
だ 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 144382
62.2%
ASCII 87141
37.6%
None 220
 
0.1%
CJK 129
 
0.1%
Punctuation 24
 
< 0.1%
Compat Jamo 16
 
< 0.1%
Number Forms 11
 
< 0.1%
Katakana 9
 
< 0.1%
Hiragana 6
 
< 0.1%
Geometric Shapes 2
 
< 0.1%
Other values (2) 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
52873
60.7%
: 4241
 
4.9%
, 2273
 
2.6%
. 1701
 
2.0%
1 1540
 
1.8%
e 1403
 
1.6%
) 1255
 
1.4%
( 1254
 
1.4%
o 1039
 
1.2%
2 993
 
1.1%
Other values (77) 18569
 
21.3%
Hangul
ValueCountFrequency (%)
의 4137
 
2.9%
이 4013
 
2.8%
는 3218
 
2.2%
한 2134
 
1.5%
기 2059
 
1.4%
가 2053
 
1.4%
사 1935
 
1.3%
지 1925
 
1.3%
리 1878
 
1.3%
다 1788
 
1.2%
Other values (1278) 119242
82.6%
None
ValueCountFrequency (%)
· 171
77.7%
＇ 39
 
17.7%
× 3
 
1.4%
＆ 3
 
1.4%
《 1
 
0.5%
》 1
 
0.5%
ａ 1
 
0.5%
＋ 1
 
0.5%
Punctuation
ValueCountFrequency (%)
… 11
45.8%
’ 7
29.2%
‘ 6
25.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 7
63.6%
Ⅰ 4
36.4%
CJK
ValueCountFrequency (%)
善 6
 
4.7%
決 6
 
4.7%
戰 5
 
3.9%
別 5
 
3.9%
最 5
 
3.9%
特 5
 
3.9%
繼 4
 
3.1%
承 4
 
3.1%
定 4
 
3.1%
件 4
 
3.1%
Other values (57) 81
62.8%
Compat Jamo
ValueCountFrequency (%)
ㄱ 3
18.8%
ㄴ 3
18.8%
ㄷ 3
18.8%
ㅓ 1
 
6.2%
ㅕ 1
 
6.2%
ㅑ 1
 
6.2%
ㅏ 1
 
6.2%
ㅇ 1
 
6.2%
ㅅ 1
 
6.2%
ㅎ 1
 
6.2%
Geometric Shapes
ValueCountFrequency (%)
○ 2
100.0%
Katakana
ValueCountFrequency (%)
ッ 2
22.2%
リ 1
11.1%
ス 1
11.1%
グ 1
11.1%
ド 1
11.1%
ン 1
11.1%
ウ 1
11.1%
サ 1
11.1%
Hiragana
ValueCountFrequency (%)
ん 1
16.7%
け 1
16.7%
う 1
16.7%
ぼ 1
16.7%
い 1
16.7%
だ 1
16.7%
CJK Compat Ideographs
ValueCountFrequency (%)
亂 1
50.0%
靈 1
50.0%
Enclosed Alphanum
ValueCountFrequency (%)
ⓔ 1
100.0%

저자
Text

Distinct5870
Distinct (%)58.7%
Missing4
Missing (%)< 0.1%
Memory size156.2 KiB
2024-03-15T01:12:11.576189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length3
Mean length5.079932
Min length1

Characters and Unicode

Total characters50779
Distinct characters897
Distinct categories10 ?
Distinct scripts5 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4156 ?
Unique (%)41.6%

Sample

1st row차눅, 앤
2nd row김영익
3rd row배리 블랙
4th row권재원
5th row홍기훈 지음
ValueCountFrequency (%)
지음 72
 
0.5%
65
 
0.5%
송도수 63
 
0.4%
흔한남매 56
 
0.4%
설민석 49
 
0.3%
편집부 49
 
0.3%
히로시마 46
 
0.3%
레이코 45
 
0.3%
존 38
 
0.3%
데이비드 35
 
0.2%
Other values (7072) 13605
96.3%
2024-03-15T01:12:12.997079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4127
 
8.1%
, 2527
 
5.0%
이 1717
 
3.4%
김 1178
 
2.3%
리 928
 
1.8%
스 873
 
1.7%
정 717
 
1.4%
영 616
 
1.2%
미 558
 
1.1%
a 544
 
1.1%
Other values (887) 36994
72.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 38151
75.1%
Lowercase Letter 4547
 
9.0%
Space Separator 4127
 
8.1%
Other Punctuation 2684
 
5.3%
Uppercase Letter 1208
 
2.4%
Dash Punctuation 31
 
0.1%
Decimal Number 23
 
< 0.1%
Open Punctuation 3
 
< 0.1%
Close Punctuation 3
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 1717
 
4.5%
김 1178
 
3.1%
리 928
 
2.4%
스 873
 
2.3%
정 717
 
1.9%
영 616
 
1.6%
미 558
 
1.5%
지 531
 
1.4%
아 502
 
1.3%
라 472
 
1.2%
Other values (811) 30059
78.8%
Lowercase Letter
ValueCountFrequency (%)
a 544
12.0%
e 518
11.4%
r 427
9.4%
n 424
9.3%
o 364
 
8.0%
i 336
 
7.4%
l 298
 
6.6%
t 266
 
5.9%
s 219
 
4.8%
h 166
 
3.7%
Other values (15) 985
21.7%
Uppercase Letter
ValueCountFrequency (%)
J 102
 
8.4%
A 101
 
8.4%
M 93
 
7.7%
S 92
 
7.6%
B 90
 
7.5%
C 77
 
6.4%
P 68
 
5.6%
T 56
 
4.6%
D 56
 
4.6%
L 55
 
4.6%
Other values (15) 418
34.6%
Other Punctuation
ValueCountFrequency (%)
, 2527
94.2%
. 129
 
4.8%
· 10
 
0.4%
? 5
 
0.2%
: 4
 
0.1%
' 3
 
0.1%
! 2
 
0.1%
@ 2
 
0.1%
＇ 1
 
< 0.1%
; 1
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
1 6
26.1%
2 5
21.7%
0 4
17.4%
4 2
 
8.7%
3 2
 
8.7%
7 2
 
8.7%
8 1
 
4.3%
9 1
 
4.3%
Open Punctuation
ValueCountFrequency (%)
( 2
66.7%
〈 1
33.3%
Close Punctuation
ValueCountFrequency (%)
) 2
66.7%
〉 1
33.3%
Math Symbol
ValueCountFrequency (%)
< 1
50.0%
> 1
50.0%
Space Separator
ValueCountFrequency (%)
4127
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 31
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 38136
75.1%
Common 6873
 
13.5%
Latin 5755
 
11.3%
Katakana 11
 
< 0.1%
Han 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 1717
 
4.5%
김 1178
 
3.1%
리 928
 
2.4%
스 873
 
2.3%
정 717
 
1.9%
영 616
 
1.6%
미 558
 
1.5%
지 531
 
1.4%
아 502
 
1.3%
라 472
 
1.2%
Other values (798) 30044
78.8%
Latin
ValueCountFrequency (%)
a 544
 
9.5%
e 518
 
9.0%
r 427
 
7.4%
n 424
 
7.4%
o 364
 
6.3%
i 336
 
5.8%
l 298
 
5.2%
t 266
 
4.6%
s 219
 
3.8%
h 166
 
2.9%
Other values (40) 2193
38.1%
Common
ValueCountFrequency (%)
4127
60.0%
, 2527
36.8%
. 129
 
1.9%
- 31
 
0.5%
· 10
 
0.1%
1 6
 
0.1%
2 5
 
0.1%
? 5
 
0.1%
: 4
 
0.1%
0 4
 
0.1%
Other values (16) 25
 
0.4%
Katakana
ValueCountFrequency (%)
イ 2
18.2%
コ 2
18.2%
ノ 1
9.1%
リ 1
9.1%
ケ 1
9.1%
キ 1
9.1%
ュ 1
9.1%
ラ 1
9.1%
ス 1
9.1%
Han
ValueCountFrequency (%)
工 1
25.0%
藤 1
25.0%
田 1
25.0%
柴 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 38136
75.1%
ASCII 12615
 
24.8%
None 13
 
< 0.1%
Katakana 11
 
< 0.1%
CJK 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4127
32.7%
, 2527
20.0%
a 544
 
4.3%
e 518
 
4.1%
r 427
 
3.4%
n 424
 
3.4%
o 364
 
2.9%
i 336
 
2.7%
l 298
 
2.4%
t 266
 
2.1%
Other values (62) 2784
22.1%
Hangul
ValueCountFrequency (%)
이 1717
 
4.5%
김 1178
 
3.1%
리 928
 
2.4%
스 873
 
2.3%
정 717
 
1.9%
영 616
 
1.6%
미 558
 
1.5%
지 531
 
1.4%
아 502
 
1.3%
라 472
 
1.2%
Other values (798) 30044
78.8%
None
ValueCountFrequency (%)
· 10
76.9%
＇ 1
 
7.7%
〉 1
 
7.7%
〈 1
 
7.7%
Katakana
ValueCountFrequency (%)
イ 2
18.2%
コ 2
18.2%
ノ 1
9.1%
リ 1
9.1%
ケ 1
9.1%
キ 1
9.1%
ュ 1
9.1%
ラ 1
9.1%
ス 1
9.1%
CJK
ValueCountFrequency (%)
工 1
25.0%
藤 1
25.0%
田 1
25.0%
柴 1
25.0%

출판사
Real number (ℝ)

HIGH CORRELATION  MISSING  SKEWED 

Distinct47
Distinct (%)0.5%
Missing213
Missing (%)2.1%
Infinite0
Infinite (%)0.0%
Mean2021.2356
Minimum1964
Maximum2922
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-15T01:12:13.358347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1964
5-th percentile2013
Q12021
median2022
Q32023
95-th percentile2023
Maximum2922
Range958
Interquartile range (IQR)2

Descriptive statistics

Standard deviation10.33243
Coefficient of variation (CV)0.0051119375
Kurtosis5957.9659
Mean2021.2356
Median Absolute Deviation (MAD)1
Skewness69.459313
Sum19781833
Variance106.75911
MonotonicityNot monotonic
2024-03-15T01:12:13.780448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
2023 4434
44.3%
2022 2868
28.7%
2021 731
 
7.3%
2020 406
 
4.1%
2019 229
 
2.3%
2018 180
 
1.8%
2017 134
 
1.3%
2016 123
 
1.2%
2015 87
 
0.9%
2013 76
 
0.8%
Other values (37) 519
 
5.2%
(Missing) 213
 
2.1%
ValueCountFrequency (%)
1964 1
 
< 0.1%
1969 1
 
< 0.1%
1976 3
< 0.1%
1978 1
 
< 0.1%
1982 1
 
< 0.1%
1984 1
 
< 0.1%
1985 1
 
< 0.1%
1986 2
< 0.1%
1988 2
< 0.1%
1989 4
< 0.1%
ValueCountFrequency (%)
2922 1
 
< 0.1%
2300 1
 
< 0.1%
2024 2
 
< 0.1%
2023 4434
44.3%
2022 2868
28.7%
2021 731
 
7.3%
2020 406
 
4.1%
2019 229
 
2.3%
2018 180
 
1.8%
2017 134
 
1.3%

청구기호
Text

Distinct8529
Distinct (%)86.1%
Missing91
Missing (%)0.9%
Memory size156.2 KiB
2024-03-15T01:12:15.361710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length18
Mean length12.096276
Min length1

Characters and Unicode

Total characters119862
Distinct characters601
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7559 ?
Unique (%)76.3%

Sample

1st row843 차197ㄱ
2nd row320.01 김64ㄱ1
3rd row840 블429
4th row327.8 권71ㅈ
5th row029.1 홍1ㅇ
ValueCountFrequency (%)
813.8 1355
 
5.9%
843 763
 
3.3%
808.9 626
 
2.7%
813.6 458
 
2.0%
1 356
 
1.6%
2 353
 
1.5%
818 299
 
1.3%
833.8 224
 
1.0%
3 222
 
1.0%
375.1 186
 
0.8%
Other values (7323) 18104
78.9%
2024-03-15T01:12:17.166696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
26059
21.7%
8 12105
10.1%
1 9696
 
8.1%
3 8937
 
7.5%
. 6946
 
5.8%
9 6406
 
5.3%
7 5703
 
4.8%
2 5505
 
4.6%
4 5220
 
4.4%
5 5168
 
4.3%
Other values (591) 28117
23.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 66613
55.6%
Space Separator 26059
 
21.7%
Other Letter 19259
 
16.1%
Other Punctuation 6946
 
5.8%
Uppercase Letter 461
 
0.4%
Lowercase Letter 370
 
0.3%
Dash Punctuation 150
 
0.1%
Open Punctuation 2
 
< 0.1%
Close Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
ㅇ 2215
 
11.5%
ㅅ 1084
 
5.6%
ㄱ 1040
 
5.4%
김 881
 
4.6%
ㅂ 709
 
3.7%
ㅁ 704
 
3.7%
이 679
 
3.5%
ㄴ 653
 
3.4%
ㄷ 594
 
3.1%
ㅎ 561
 
2.9%
Other values (528) 10139
52.6%
Uppercase Letter
ValueCountFrequency (%)
M 104
22.6%
C 46
10.0%
S 37
 
8.0%
B 37
 
8.0%
K 33
 
7.2%
J 28
 
6.1%
P 27
 
5.9%
D 20
 
4.3%
T 16
 
3.5%
R 14
 
3.0%
Other values (14) 99
21.5%
Lowercase Letter
ValueCountFrequency (%)
s 38
 
10.3%
m 31
 
8.4%
b 26
 
7.0%
h 23
 
6.2%
t 23
 
6.2%
c 23
 
6.2%
j 21
 
5.7%
p 20
 
5.4%
l 19
 
5.1%
w 18
 
4.9%
Other values (14) 128
34.6%
Decimal Number
ValueCountFrequency (%)
8 12105
18.2%
1 9696
14.6%
3 8937
13.4%
9 6406
9.6%
7 5703
8.6%
2 5505
8.3%
4 5220
7.8%
5 5168
7.8%
6 4495
 
6.7%
0 3378
 
5.1%
Space Separator
ValueCountFrequency (%)
26059
100.0%
Other Punctuation
ValueCountFrequency (%)
. 6946
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 150
100.0%
Open Punctuation
ValueCountFrequency (%)
[ 2
100.0%
Close Punctuation
ValueCountFrequency (%)
] 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 99772
83.2%
Hangul 19259
 
16.1%
Latin 831
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
ㅇ 2215
 
11.5%
ㅅ 1084
 
5.6%
ㄱ 1040
 
5.4%
김 881
 
4.6%
ㅂ 709
 
3.7%
ㅁ 704
 
3.7%
이 679
 
3.5%
ㄴ 653
 
3.4%
ㄷ 594
 
3.1%
ㅎ 561
 
2.9%
Other values (528) 10139
52.6%
Latin
ValueCountFrequency (%)
M 104
 
12.5%
C 46
 
5.5%
s 38
 
4.6%
S 37
 
4.5%
B 37
 
4.5%
K 33
 
4.0%
m 31
 
3.7%
J 28
 
3.4%
P 27
 
3.2%
b 26
 
3.1%
Other values (38) 424
51.0%
Common
ValueCountFrequency (%)
26059
26.1%
8 12105
12.1%
1 9696
 
9.7%
3 8937
 
9.0%
. 6946
 
7.0%
9 6406
 
6.4%
7 5703
 
5.7%
2 5505
 
5.5%
4 5220
 
5.2%
5 5168
 
5.2%
Other values (5) 8027
 
8.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 100603
83.9%
Hangul 9648
 
8.0%
Compat Jamo 9611
 
8.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
26059
25.9%
8 12105
12.0%
1 9696
 
9.6%
3 8937
 
8.9%
. 6946
 
6.9%
9 6406
 
6.4%
7 5703
 
5.7%
2 5505
 
5.5%
4 5220
 
5.2%
5 5168
 
5.1%
Other values (53) 8858
 
8.8%
Compat Jamo
ValueCountFrequency (%)
ㅇ 2215
23.0%
ㅅ 1084
11.3%
ㄱ 1040
10.8%
ㅂ 709
 
7.4%
ㅁ 704
 
7.3%
ㄴ 653
 
6.8%
ㄷ 594
 
6.2%
ㅎ 561
 
5.8%
ㅈ 515
 
5.4%
ㅊ 479
 
5.0%
Other values (9) 1057
11.0%
Hangul
ValueCountFrequency (%)
김 881
 
9.1%
이 679
 
7.0%
박 332
 
3.4%
정 214
 
2.2%
최 180
 
1.9%
조 147
 
1.5%
한 147
 
1.5%
신 143
 
1.5%
오 129
 
1.3%
고 119
 
1.2%
Other values (509) 6677
69.2%

출판년
Real number (ℝ)

HIGH CORRELATION  MISSING  SKEWED 

Distinct47
Distinct (%)0.5%
Missing213
Missing (%)2.1%
Infinite0
Infinite (%)0.0%
Mean2021.2356
Minimum1964
Maximum2922
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-15T01:12:17.431489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1964
5-th percentile2013
Q12021
median2022
Q32023
95-th percentile2023
Maximum2922
Range958
Interquartile range (IQR)2

Descriptive statistics

Standard deviation10.33243
Coefficient of variation (CV)0.0051119375
Kurtosis5957.9659
Mean2021.2356
Median Absolute Deviation (MAD)1
Skewness69.459313
Sum19781833
Variance106.75911
MonotonicityNot monotonic
2024-03-15T01:12:17.672524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
2023 4434
44.3%
2022 2868
28.7%
2021 731
 
7.3%
2020 406
 
4.1%
2019 229
 
2.3%
2018 180
 
1.8%
2017 134
 
1.3%
2016 123
 
1.2%
2015 87
 
0.9%
2013 76
 
0.8%
Other values (37) 519
 
5.2%
(Missing) 213
 
2.1%
ValueCountFrequency (%)
1964 1
 
< 0.1%
1969 1
 
< 0.1%
1976 3
< 0.1%
1978 1
 
< 0.1%
1982 1
 
< 0.1%
1984 1
 
< 0.1%
1985 1
 
< 0.1%
1986 2
< 0.1%
1988 2
< 0.1%
1989 4
< 0.1%
ValueCountFrequency (%)
2922 1
 
< 0.1%
2300 1
 
< 0.1%
2024 2
 
< 0.1%
2023 4434
44.3%
2022 2868
28.7%
2021 731
 
7.3%
2020 406
 
4.1%
2019 229
 
2.3%
2018 180
 
1.8%
2017 134
 
1.3%

저자기호
Text

Distinct5812
Distinct (%)58.7%
Missing98
Missing (%)1.0%
Memory size156.2 KiB
2024-03-15T01:12:19.274479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length4
Mean length4.264391
Min length2

Characters and Unicode

Total characters42226
Distinct characters598
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4161 ?
Unique (%)42.0%

Sample

1st row차197ㄱ
2nd row김64ㄱ1
3rd row블429
4th row권71ㅈ
5th row홍1ㅇ
ValueCountFrequency (%)
m997m 41
 
0.4%
송25ㅅ 32
 
0.3%
한17ㅌ 30
 
0.3%
비296ㅂ 28
 
0.3%
월28ㄱ 26
 
0.3%
흔81ㅎ 25
 
0.3%
고88ㅇ 24
 
0.2%
김39ㄱ 23
 
0.2%
다25ㄷ 22
 
0.2%
바291ㅊ 21
 
0.2%
Other values (5809) 9644
97.3%
2024-03-15T01:12:21.203709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7 3457
 
8.2%
9 3198
 
7.6%
5 2530
 
6.0%
2 2433
 
5.8%
1 2424
 
5.7%
6 2417
 
5.7%
8 2393
 
5.7%
ㅇ 2215
 
5.2%
3 1766
 
4.2%
4 1591
 
3.8%
Other values (588) 17802
42.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 22221
52.6%
Other Letter 19257
45.6%
Lowercase Letter 370
 
0.9%
Uppercase Letter 354
 
0.8%
Space Separator 14
 
< 0.1%
Dash Punctuation 9
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
ㅇ 2215
 
11.5%
ㅅ 1084
 
5.6%
ㄱ 1040
 
5.4%
김 881
 
4.6%
ㅂ 709
 
3.7%
ㅁ 704
 
3.7%
이 679
 
3.5%
ㄴ 653
 
3.4%
ㄷ 594
 
3.1%
ㅎ 561
 
2.9%
Other values (528) 10137
52.6%
Lowercase Letter
ValueCountFrequency (%)
s 38
 
10.3%
m 31
 
8.4%
b 26
 
7.0%
h 23
 
6.2%
t 23
 
6.2%
c 23
 
6.2%
j 21
 
5.7%
p 20
 
5.4%
l 19
 
5.1%
g 18
 
4.9%
Other values (14) 128
34.6%
Uppercase Letter
ValueCountFrequency (%)
M 101
28.5%
B 29
 
8.2%
S 23
 
6.5%
K 21
 
5.9%
D 20
 
5.6%
C 16
 
4.5%
R 14
 
4.0%
N 14
 
4.0%
T 14
 
4.0%
L 13
 
3.7%
Other values (13) 89
25.1%
Decimal Number
ValueCountFrequency (%)
7 3457
15.6%
9 3198
14.4%
5 2530
11.4%
2 2433
10.9%
1 2424
10.9%
6 2417
10.9%
8 2393
10.8%
3 1766
7.9%
4 1591
7.2%
0 12
 
0.1%
Space Separator
ValueCountFrequency (%)
14
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 22245
52.7%
Hangul 19257
45.6%
Latin 724
 
1.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
ㅇ 2215
 
11.5%
ㅅ 1084
 
5.6%
ㄱ 1040
 
5.4%
김 881
 
4.6%
ㅂ 709
 
3.7%
ㅁ 704
 
3.7%
이 679
 
3.5%
ㄴ 653
 
3.4%
ㄷ 594
 
3.1%
ㅎ 561
 
2.9%
Other values (528) 10137
52.6%
Latin
ValueCountFrequency (%)
M 101
 
14.0%
s 38
 
5.2%
m 31
 
4.3%
B 29
 
4.0%
b 26
 
3.6%
h 23
 
3.2%
S 23
 
3.2%
t 23
 
3.2%
c 23
 
3.2%
K 21
 
2.9%
Other values (37) 386
53.3%
Common
ValueCountFrequency (%)
7 3457
15.5%
9 3198
14.4%
5 2530
11.4%
2 2433
10.9%
1 2424
10.9%
6 2417
10.9%
8 2393
10.8%
3 1766
7.9%
4 1591
7.2%
14
 
0.1%
Other values (3) 22
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 22969
54.4%
Hangul 9646
22.8%
Compat Jamo 9611
22.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7 3457
15.1%
9 3198
13.9%
5 2530
11.0%
2 2433
10.6%
1 2424
10.6%
6 2417
10.5%
8 2393
10.4%
3 1766
7.7%
4 1591
6.9%
M 101
 
0.4%
Other values (50) 659
 
2.9%
Compat Jamo
ValueCountFrequency (%)
ㅇ 2215
23.0%
ㅅ 1084
11.3%
ㄱ 1040
10.8%
ㅂ 709
 
7.4%
ㅁ 704
 
7.3%
ㄴ 653
 
6.8%
ㄷ 594
 
6.2%
ㅎ 561
 
5.8%
ㅈ 515
 
5.4%
ㅊ 479
 
5.0%
Other values (9) 1057
11.0%
Hangul
ValueCountFrequency (%)
김 881
 
9.1%
이 679
 
7.0%
박 332
 
3.4%
정 214
 
2.2%
최 180
 
1.9%
한 147
 
1.5%
조 147
 
1.5%
신 143
 
1.5%
오 129
 
1.3%
고 119
 
1.2%
Other values (509) 6675
69.2%

언어
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
kor
9719 
eng
 
271
<NA>
 
6
or
 
2
ng
 
1

Length

Max length4
Median length3
Mean length3.0003
Min length2

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st rowkor
2nd rowkor
3rd rowkor
4th rowkor
5th rowkor

Common Values

ValueCountFrequency (%)
kor 9719
97.2%
eng 271
 
2.7%
<NA> 6
 
0.1%
or 2
 
< 0.1%
ng 1
 
< 0.1%
jpn 1
 
< 0.1%

Length

2024-03-15T01:12:21.656378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T01:12:22.014440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
kor 9719
97.2%
eng 271
 
2.7%
na 6
 
0.1%
or 2
 
< 0.1%
ng 1
 
< 0.1%
jpn 1
 
< 0.1%

국가
Categorical

IMBALANCE 

Distinct25
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
ulk
6807 
ggk
2517 
us
 
273
<NA>
 
208
uk
 
87
Other values (20)
 
108

Length

Max length7
Median length3
Mean length2.9852
Min length2

Unique

Unique6 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
ulk 6807
68.1%
ggk 2517
 
25.2%
us 273
 
2.7%
<NA> 208
 
2.1%
uk 87
 
0.9%
ick 24
 
0.2%
gak 13
 
0.1%
tgk 13
 
0.1%
bnk 12
 
0.1%
tjk 8
 
0.1%
Other values (15) 38
 
0.4%

Length

2024-03-15T01:12:22.393990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
ulk 6807
68.0%
ggk 2517
 
25.2%
us 273
 
2.7%
na 208
 
2.1%
uk 87
 
0.9%
ick 24
 
0.2%
gak 13
 
0.1%
tgk 13
 
0.1%
bnk 12
 
0.1%
tjk 8
 
0.1%
Other values (16) 41
 
0.4%

페이지
Text

Distinct907
Distinct (%)9.2%
Missing97
Missing (%)1.0%
Memory size156.2 KiB
2024-03-15T01:12:23.841034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length6
Mean length5.8863981
Min length2

Characters and Unicode

Total characters58293
Distinct characters61
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

Unique307 ?
Unique (%)3.1%

Sample

1st row383 p.
2nd row346 p.
3rd row343P
4th row108 p.
5th row272 p.
ValueCountFrequency (%)
p 9426
48.2%
40 480
 
2.5%
32 366
 
1.9%
48 223
 
1.1%
36 178
 
0.9%
44 161
 
0.8%
1 114
 
0.6%
160 111
 
0.6%
152 104
 
0.5%
272 88
 
0.5%
Other values (788) 8291
42.4%
2024-03-15T01:12:25.833367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 9749
16.7%
p 9646
16.5%
9639
16.5%
2 4735
8.1%
1 3717
 
6.4%
4 3491
 
6.0%
3 3297
 
5.7%
0 2363
 
4.1%
6 2261
 
3.9%
8 2117
 
3.6%
Other values (51) 7278
12.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 26231
45.0%
Lowercase Letter 10009
 
17.2%
Other Punctuation 9813
 
16.8%
Space Separator 9639
 
16.5%
Close Punctuation 1132
 
1.9%
Open Punctuation 1131
 
1.9%
Other Letter 213
 
0.4%
Uppercase Letter 125
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
책 71
33.3%
분 19
 
8.9%
매 19
 
8.9%
지 12
 
5.6%
부 12
 
5.6%
접 12
 
5.6%
일 12
 
5.6%
수 9
 
4.2%
판 7
 
3.3%
도 7
 
3.3%
Other values (13) 33
15.5%
Lowercase Letter
ValueCountFrequency (%)
p 9646
96.4%
v 129
 
1.3%
o 64
 
0.6%
l 48
 
0.5%
i 35
 
0.3%
x 32
 
0.3%
k 8
 
0.1%
b 8
 
0.1%
u 7
 
0.1%
e 7
 
0.1%
Other values (5) 25
 
0.2%
Decimal Number
ValueCountFrequency (%)
2 4735
18.1%
1 3717
14.2%
4 3491
13.3%
3 3297
12.6%
0 2363
9.0%
6 2261
8.6%
8 2117
8.1%
5 1611
 
6.1%
7 1401
 
5.3%
9 1238
 
4.7%
Other Punctuation
ValueCountFrequency (%)
. 9749
99.3%
, 37
 
0.4%
: 26
 
0.3%
; 1
 
< 0.1%
Uppercase Letter
ValueCountFrequency (%)
P 42
33.6%
D 38
30.4%
M 26
20.8%
V 19
15.2%
Close Punctuation
ValueCountFrequency (%)
] 1091
96.4%
) 41
 
3.6%
Open Punctuation
ValueCountFrequency (%)
[ 1090
96.4%
( 41
 
3.6%
Space Separator
ValueCountFrequency (%)
9639
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 47946
82.3%
Latin 10134
 
17.4%
Hangul 213
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
책 71
33.3%
분 19
 
8.9%
매 19
 
8.9%
지 12
 
5.6%
부 12
 
5.6%
접 12
 
5.6%
일 12
 
5.6%
수 9
 
4.2%
판 7
 
3.3%
도 7
 
3.3%
Other values (13) 33
15.5%
Common
ValueCountFrequency (%)
. 9749
20.3%
9639
20.1%
2 4735
9.9%
1 3717
 
7.8%
4 3491
 
7.3%
3 3297
 
6.9%
0 2363
 
4.9%
6 2261
 
4.7%
8 2117
 
4.4%
5 1611
 
3.4%
Other values (9) 4966
10.4%
Latin
ValueCountFrequency (%)
p 9646
95.2%
v 129
 
1.3%
o 64
 
0.6%
l 48
 
0.5%
P 42
 
0.4%
D 38
 
0.4%
i 35
 
0.3%
x 32
 
0.3%
M 26
 
0.3%
V 19
 
0.2%
Other values (9) 55
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 58080
99.6%
Hangul 212
 
0.4%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 9749
16.8%
p 9646
16.6%
9639
16.6%
2 4735
8.2%
1 3717
 
6.4%
4 3491
 
6.0%
3 3297
 
5.7%
0 2363
 
4.1%
6 2261
 
3.9%
8 2117
 
3.6%
Other values (28) 7065
12.2%
Hangul
ValueCountFrequency (%)
책 71
33.5%
분 19
 
9.0%
매 19
 
9.0%
지 12
 
5.7%
부 12
 
5.7%
접 12
 
5.7%
일 12
 
5.7%
수 9
 
4.2%
판 7
 
3.3%
도 7
 
3.3%
Other values (12) 32
15.1%
Compat Jamo
ValueCountFrequency (%)
ㅔ 1
100.0%

국제표준도서번호
Text

Distinct8090
Distinct (%)80.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-03-15T01:12:27.419115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length14
Mean length13.9845
Min length7

Characters and Unicode

Total characters139845
Distinct characters18
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6790 ?
Unique (%)67.9%

Sample

1st row9781444948622
2nd row9791160809640
3rd row9791193235065
4th row9791196554866
5th row9791156759614
ValueCountFrequency (%)
9791162336120 16
 
0.2%
9788921001443 13
 
0.1%
9788997366132 12
 
0.1%
9791191891287 10
 
0.1%
9788997366125 9
 
0.1%
9791198013026 8
 
0.1%
9791198173898 8
 
0.1%
8809264181 8
 
0.1%
9788936455965 8
 
0.1%
9788968319259 8
 
0.1%
Other values (8081) 9905
99.0%
2024-03-15T01:12:28.882895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9 29210
20.9%
1 20039
14.3%
7 17193
12.3%
8 15157
10.8%
9999
 
7.2%
6 9460
 
6.8%
0 7890
 
5.6%
4 7884
 
5.6%
5 7844
 
5.6%
3 7640
 
5.5%
Other values (8) 7529
 
5.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 129815
92.8%
Space Separator 9999
 
7.2%
Other Letter 30
 
< 0.1%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
9 29210
22.5%
1 20039
15.4%
7 17193
13.2%
8 15157
11.7%
6 9460
 
7.3%
0 7890
 
6.1%
4 7884
 
6.1%
5 7844
 
6.0%
3 7640
 
5.9%
2 7498
 
5.8%
Other Letter
ValueCountFrequency (%)
데 5
16.7%
이 5
16.7%
터 5
16.7%
미 5
16.7%
집 5
16.7%
계 5
16.7%
Space Separator
ValueCountFrequency (%)
9999
100.0%
Uppercase Letter
ValueCountFrequency (%)
X 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 139814
> 99.9%
Hangul 30
 
< 0.1%
Latin 1
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
9 29210
20.9%
1 20039
14.3%
7 17193
12.3%
8 15157
10.8%
9999
 
7.2%
6 9460
 
6.8%
0 7890
 
5.6%
4 7884
 
5.6%
5 7844
 
5.6%
3 7640
 
5.5%
Hangul
ValueCountFrequency (%)
데 5
16.7%
이 5
16.7%
터 5
16.7%
미 5
16.7%
집 5
16.7%
계 5
16.7%
Latin
ValueCountFrequency (%)
X 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 139815
> 99.9%
Hangul 30
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9 29210
20.9%
1 20039
14.3%
7 17193
12.3%
8 15157
10.8%
9999
 
7.2%
6 9460
 
6.8%
0 7890
 
5.6%
4 7884
 
5.6%
5 7844
 
5.6%
3 7640
 
5.5%
Other values (2) 7499
 
5.4%
Hangul
ValueCountFrequency (%)
데 5
16.7%
이 5
16.7%
터 5
16.7%
미 5
16.7%
집 5
16.7%
계 5
16.7%

소장처
Categorical

Distinct28
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
이천시립효양도서관
1895 
이천시립도서관
1586 
이천시립어린이도서관
1541 
이천시립마장도서관
1149 
이천시립청미도서관
797 
Other values (23)
3032 

Length

Max length11
Median length10
Mean length8.4573
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row백사작은도서관
2nd row이천시립효양도서관
3rd row은광문고
4th row이천시립청미도서관
5th row설봉아름드리작은도서관

Common Values

ValueCountFrequency (%)
이천시립효양도서관 1895
18.9%
이천시립도서관 1586
15.9%
이천시립어린이도서관 1541
15.4%
이천시립마장도서관 1149
11.5%
이천시립청미도서관 797
8.0%
이천평생학습북카페 395
 
4.0%
증포송정작은도서관 338
 
3.4%
모가작은도서관 219
 
2.2%
동양작은도서관 177
 
1.8%
아리마을작은도서관 175
 
1.8%
Other values (18) 1728
17.3%

Length

2024-03-15T01:12:29.309813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
이천시립효양도서관 1895
18.9%
이천시립도서관 1586
15.9%
이천시립어린이도서관 1541
15.4%
이천시립마장도서관 1149
11.5%
이천시립청미도서관 797
8.0%
이천평생학습북카페 395
 
4.0%
증포송정작은도서관 338
 
3.4%
모가작은도서관 219
 
2.2%
동양작은도서관 177
 
1.8%
아리마을작은도서관 175
 
1.8%
Other values (18) 1728
17.3%

Interactions

2024-03-15T01:12:02.843966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:12:02.340790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:12:03.101160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:12:02.591671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T01:12:29.531941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
마크종류출판사출판년언어국가소장처
마크종류1.0000.0000.0000.2250.0000.084
출판사0.0001.0001.0000.0000.0000.000
출판년0.0001.0001.0000.0000.0000.000
언어0.2250.0000.0001.0000.6630.268
국가0.0000.0000.0000.6631.0000.220
소장처0.0840.0000.0000.2680.2201.000
2024-03-15T01:12:29.810282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
국가언어마크종류소장처
국가1.0000.3930.0000.056
언어0.3931.0000.1740.132
마크종류0.0000.1741.0000.042
소장처0.0560.1320.0421.000
2024-03-15T01:12:30.072148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
출판사출판년마크종류언어국가소장처
출판사1.0001.0000.0000.0000.0000.000
출판년1.0001.0000.0000.0000.0000.000
마크종류0.0000.0001.0000.1740.0000.042
언어0.0000.0000.1741.0000.3930.132
국가0.0000.0000.0000.3931.0000.056
소장처0.0000.0000.0420.1320.0561.000

Missing values

2024-03-15T01:12:03.439972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T01:12:04.050058image/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.
2024-03-15T01:12:04.577832image/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

마크생성일자관입력일마크종류서명저자출판사청구기호출판년저자기호언어국가페이지국제표준도서번호소장처
114762022-12-082022-12-08cm계산된 삶차눅, 앤2022843 차197ㄱ2022차197ㄱkorulk383 p.9781444948622백사작은도서관
58532022-10-132022-12-05cm(3년 후 부의 흐름이 보이는)경제지표 정독법 : 거시경제의 거장 김영익이 미래를 읽는 법김영익2022320.01 김64ㄱ12022김64ㄱ1korulk346 p.9791160809640이천시립효양도서관
453102023-12-132023-12-13cm꿈과 도전배리 블랙<NA>840 블429<NA>블429kor<NA>343P9791193235065은광문고
363252023-09-182023-09-25cm좋은 투자, 나쁜 투자, 이상한 투자권재원2023327.8 권71ㅈ2023권71ㅈkorggk108 p.9791196554866이천시립청미도서관
193822023-03-252023-03-25cm위대한 경제학 고전 30권을 1권으로 읽는 책홍기훈 지음2023029.1 홍1ㅇ2023홍1ㅇkorulk272 p.9791156759614설봉아름드리작은도서관
452582023-12-122023-12-12cm[그림책]참을성 없는 애벌레뷰랙, 로스2023C843 뷰292ㅊ2023뷰292ㅊkorggk32p.9788901263465한마음작은도서관
420332023-11-162023-11-21cm역사는 반복된다 : 수구 기득권 카르텔이 탄생배기성2023911 배18ㅇ2023배18ㅇkorggk284 p.9791196343002이천시립효양도서관
209132023-04-092023-04-19cm고양이 스웨터오이카와 겐지2023833.8 오69ㄱ2023오69ㄱkorulk[38] p.9788957073483이천시립청미도서관
36982022-09-162022-10-04cm[천책44-2]모두 가 버리고린드스트룀, 에바2021859.7 린27ㅁ2021린27ㅁkorulk32 p.9791191248661이천시립효양도서관
291722023-07-032023-07-03cm나는 정말 운이 좋은 사람입니다이범희2023818 이43ㄴ2023이43ㄴkorggk252 p.9788984889989이천시립마장도서관
마크생성일자관입력일마크종류서명저자출판사청구기호출판년저자기호언어국가페이지국제표준도서번호소장처
265032023-05-232023-06-13cm[스텝2-137] (The)adventures of Beekle : (The)unimaginary friendSantat, Dan2016843 S233a2016S233aenguk40 p.9791165920401이천시립어린이도서관
40482022-09-162022-10-04cm[천책195-4]배고파요야규 겐이치로2008408 과81ㅎ 152008과81ㅎkorulk28 p.9791157832286이천시립효양도서관
419992023-11-162023-11-21cm맞혀 봐, 맞혀 봐! : 민감성신재옥2020608 베69ㅇ 302020베69ㅇkorggk21 p. (일부접지)9791192044316이천시립어린이도서관
10342022-01-112022-11-22cm내겐 소리로 인사해 줘안미란2022813.8 함92ㅁ 52022함92ㅁkorulk172 p.9791190861137이천시립효양도서관
252782023-05-132023-09-01cm이반 일리치의 죽음 : 죽음 관련 톨스토이 명단편 3편 모음집톨스토이, 레프 니콜라예비치2023892.83 톨58ㅇ2023톨58ㅇkorulk224 p.9788901271316이천시립도서관
155152023-02-172023-02-17cm기차 할머니마르, 파울2023853 마298ㄱ2023마298ㄱkorggk105 p.9791165732288이천평생학습북카페
101352022-11-172022-12-18cm반란의 영문법 = Modern English grammar이장원2022745 이71ㅂ22022이71ㅂ2korulk775 p.9791158363956이천시립효양도서관
237462023-04-212023-04-21cm데일 카네기 인간관계론카네기, 데일2020199.1 카19ㄷ2020카19ㄷkorggk349 p.9788954699662샘터작은도서관
241942023-05-042023-06-18cm쌔근쌔근 잠을 자요문진서2023813.8 곰53ㅇ 12023곰53ㅇkorggk[36] p.9788960491540이천시립효양도서관
137052022-12-302023-09-01cm수학의 이유 : 수학은 현대 사회를 어떻게 지탱하는가스튜어트, 이언2022410.4 스787ㅅ2022스787ㅅkorulk426 p.9791191824155이천시립도서관