Overview

Dataset statistics

Number of variables7
Number of observations2576
Missing cells41
Missing cells (%)0.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory143.5 KiB
Average record size in memory57.1 B

Variable types

Numeric1
Text4
Categorical1
DateTime1

Dataset

Description지방공기업평가원에서 보유하고 있는 도서 현황을 제공하는 것으로 단행본,발간자료,정책자료, 컨설팅 자료,평가자료 등 도서내역과 연속간행물 현황정보 확인
Author행정안전부 지방공기업평가원
URLhttps://www.data.go.kr/data/15035306/fileData.do

Alerts

번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 15:50:21.639864
Analysis finished2023-12-12 15:50:23.892100
Duration2.25 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct2576
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1288.5
Minimum1
Maximum2576
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.8 KiB
2023-12-13T00:50:23.981142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile129.75
Q1644.75
median1288.5
Q31932.25
95-th percentile2447.25
Maximum2576
Range2575
Interquartile range (IQR)1287.5

Descriptive statistics

Standard deviation743.77147
Coefficient of variation (CV)0.57723824
Kurtosis-1.2
Mean1288.5
Median Absolute Deviation (MAD)644
Skewness0
Sum3319176
Variance553196
MonotonicityStrictly increasing
2023-12-13T00:50:24.154662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
1693 1
 
< 0.1%
1715 1
 
< 0.1%
1716 1
 
< 0.1%
1717 1
 
< 0.1%
1718 1
 
< 0.1%
1719 1
 
< 0.1%
1720 1
 
< 0.1%
1721 1
 
< 0.1%
1722 1
 
< 0.1%
Other values (2566) 2566
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 (%)
2576 1
< 0.1%
2575 1
< 0.1%
2574 1
< 0.1%
2573 1
< 0.1%
2572 1
< 0.1%
2571 1
< 0.1%
2570 1
< 0.1%
2569 1
< 0.1%
2568 1
< 0.1%
2567 1
< 0.1%

자료명
Text

Distinct2303
Distinct (%)89.4%
Missing0
Missing (%)0.0%
Memory size20.3 KiB
2023-12-13T00:50:24.559873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length100
Median length65
Mean length28.052407
Min length2

Characters and Unicode

Total characters72263
Distinct characters1192
Distinct categories14 ?
Distinct scripts6 ?
Distinct blocks12 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2172 ?
Unique (%)84.3%

Sample

1st row형이상학 /
2nd row현명한 투자자의 인문학 /
3rd row장하준, 한국경제 길을 말하다: ; 위기의 대한민국, 상생의 대안 '사회적 대타협'/
4th row인적자원 관리 : ; Human Resources /
5th row비정규직 노동법 /
ValueCountFrequency (%)
3825
 
20.9%
장편소설 76
 
0.4%
위한 76
 
0.4%
이야기 70
 
0.4%
지방공기업 69
 
0.4%
1 56
 
0.3%
어떻게 54
 
0.3%
나는 47
 
0.3%
미래 46
 
0.3%
내 45
 
0.2%
Other values (7525) 13970
76.2%
2023-12-13T00:50:25.493589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
17429
 
24.1%
/ 2169
 
3.0%
: 1481
 
2.0%
의 1320
 
1.8%
; 1040
 
1.4%
이 921
 
1.3%
는 874
 
1.2%
지 724
 
1.0%
기 676
 
0.9%
가 638
 
0.9%
Other values (1182) 44991
62.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 39343
54.4%
Space Separator 17429
24.1%
Other Punctuation 5704
 
7.9%
Lowercase Letter 4392
 
6.1%
Decimal Number 2274
 
3.1%
Uppercase Letter 1781
 
2.5%
Open Punctuation 365
 
0.5%
Close Punctuation 363
 
0.5%
Math Symbol 303
 
0.4%
Modifier Symbol 154
 
0.2%
Other values (4) 155
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 1320
 
3.4%
이 921
 
2.3%
는 874
 
2.2%
지 724
 
1.8%
기 676
 
1.7%
가 638
 
1.6%
사 566
 
1.4%
한 563
 
1.4%
하 552
 
1.4%
자 526
 
1.3%
Other values (1084) 31983
81.3%
Lowercase Letter
ValueCountFrequency (%)
e 489
11.1%
i 407
 
9.3%
n 388
 
8.8%
o 375
 
8.5%
a 375
 
8.5%
t 346
 
7.9%
r 286
 
6.5%
s 284
 
6.5%
l 195
 
4.4%
c 178
 
4.1%
Other values (16) 1069
24.3%
Uppercase Letter
ValueCountFrequency (%)
T 169
 
9.5%
E 149
 
8.4%
A 139
 
7.8%
I 128
 
7.2%
O 122
 
6.9%
S 117
 
6.6%
N 110
 
6.2%
L 102
 
5.7%
M 92
 
5.2%
R 89
 
5.0%
Other values (16) 564
31.7%
Other Punctuation
ValueCountFrequency (%)
/ 2169
38.0%
: 1481
26.0%
; 1040
18.2%
, 406
 
7.1%
. 360
 
6.3%
· 59
 
1.0%
? 53
 
0.9%
' 49
 
0.9%
! 42
 
0.7%
& 25
 
0.4%
Other values (6) 20
 
0.4%
Decimal Number
ValueCountFrequency (%)
1 545
24.0%
0 505
22.2%
2 447
19.7%
3 163
 
7.2%
9 125
 
5.5%
4 122
 
5.4%
5 117
 
5.1%
7 88
 
3.9%
6 85
 
3.7%
8 77
 
3.4%
Math Symbol
ValueCountFrequency (%)
= 282
93.1%
~ 12
 
4.0%
< 3
 
1.0%
> 3
 
1.0%
+ 3
 
1.0%
Open Punctuation
ValueCountFrequency (%)
( 250
68.5%
[ 114
31.2%
《 1
 
0.3%
Close Punctuation
ValueCountFrequency (%)
) 249
68.6%
] 113
31.1%
》 1
 
0.3%
Other Symbol
ValueCountFrequency (%)
│ 1
33.3%
㎞ 1
33.3%
★ 1
33.3%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
50.0%
Ⅰ 1
50.0%
Space Separator
ValueCountFrequency (%)
17429
100.0%
Modifier Symbol
ValueCountFrequency (%)
^ 154
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 146
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 38974
53.9%
Common 26745
37.0%
Latin 6175
 
8.5%
Han 324
 
0.4%
Hiragana 23
 
< 0.1%
Katakana 22
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 1320
 
3.4%
이 921
 
2.4%
는 874
 
2.2%
지 724
 
1.9%
기 676
 
1.7%
가 638
 
1.6%
사 566
 
1.5%
한 563
 
1.4%
하 552
 
1.4%
자 526
 
1.3%
Other values (908) 31614
81.1%
Han
ValueCountFrequency (%)
大 14
 
4.3%
地 14
 
4.3%
望 12
 
3.7%
山 11
 
3.4%
脈 10
 
3.1%
白 10
 
3.1%
太 10
 
3.1%
論 9
 
2.8%
域 8
 
2.5%
性 7
 
2.2%
Other values (135) 219
67.6%
Latin
ValueCountFrequency (%)
e 489
 
7.9%
i 407
 
6.6%
n 388
 
6.3%
o 375
 
6.1%
a 375
 
6.1%
t 346
 
5.6%
r 286
 
4.6%
s 284
 
4.6%
l 195
 
3.2%
c 178
 
2.9%
Other values (44) 2852
46.2%
Common
ValueCountFrequency (%)
17429
65.2%
/ 2169
 
8.1%
: 1481
 
5.5%
; 1040
 
3.9%
1 545
 
2.0%
0 505
 
1.9%
2 447
 
1.7%
, 406
 
1.5%
. 360
 
1.3%
= 282
 
1.1%
Other values (34) 2081
 
7.8%
Katakana
ValueCountFrequency (%)
ィ 2
 
9.1%
ン 2
 
9.1%
ス 2
 
9.1%
ケ 2
 
9.1%
ソ 1
 
4.5%
リ 1
 
4.5%
ュ 1
 
4.5%
ツ 1
 
4.5%
ョ 1
 
4.5%
チ 1
 
4.5%
Other values (8) 8
36.4%
Hiragana
ValueCountFrequency (%)
の 8
34.8%
と 4
17.4%
は 1
 
4.3%
ら 1
 
4.3%
か 1
 
4.3%
ふ 1
 
4.3%
る 1
 
4.3%
げ 1
 
4.3%
さ 1
 
4.3%
や 1
 
4.3%
Other values (3) 3
 
13.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 38974
53.9%
ASCII 32850
45.5%
CJK 317
 
0.4%
None 64
 
0.1%
Hiragana 23
 
< 0.1%
Katakana 22
 
< 0.1%
CJK Compat Ideographs 7
 
< 0.1%
Number Forms 2
 
< 0.1%
Box Drawing 1
 
< 0.1%
Punctuation 1
 
< 0.1%
Other values (2) 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
17429
53.1%
/ 2169
 
6.6%
: 1481
 
4.5%
; 1040
 
3.2%
1 545
 
1.7%
0 505
 
1.5%
e 489
 
1.5%
2 447
 
1.4%
i 407
 
1.2%
, 406
 
1.2%
Other values (77) 7932
24.1%
Hangul
ValueCountFrequency (%)
의 1320
 
3.4%
이 921
 
2.4%
는 874
 
2.2%
지 724
 
1.9%
기 676
 
1.7%
가 638
 
1.6%
사 566
 
1.5%
한 563
 
1.4%
하 552
 
1.4%
자 526
 
1.3%
Other values (908) 31614
81.1%
None
ValueCountFrequency (%)
· 59
92.2%
＇ 2
 
3.1%
》 1
 
1.6%
？ 1
 
1.6%
《 1
 
1.6%
CJK
ValueCountFrequency (%)
大 14
 
4.4%
地 14
 
4.4%
望 12
 
3.8%
山 11
 
3.5%
脈 10
 
3.2%
白 10
 
3.2%
太 10
 
3.2%
論 9
 
2.8%
域 8
 
2.5%
性 7
 
2.2%
Other values (132) 212
66.9%
Hiragana
ValueCountFrequency (%)
の 8
34.8%
と 4
17.4%
は 1
 
4.3%
ら 1
 
4.3%
か 1
 
4.3%
ふ 1
 
4.3%
る 1
 
4.3%
げ 1
 
4.3%
さ 1
 
4.3%
や 1
 
4.3%
Other values (3) 3
 
13.0%
CJK Compat Ideographs
ValueCountFrequency (%)
理 4
57.1%
女 2
28.6%
論 1
 
14.3%
Katakana
ValueCountFrequency (%)
ィ 2
 
9.1%
ン 2
 
9.1%
ス 2
 
9.1%
ケ 2
 
9.1%
ソ 1
 
4.5%
リ 1
 
4.5%
ュ 1
 
4.5%
ツ 1
 
4.5%
ョ 1
 
4.5%
チ 1
 
4.5%
Other values (8) 8
36.4%
Box Drawing
ValueCountFrequency (%)
│ 1
100.0%
Punctuation
ValueCountFrequency (%)
… 1
100.0%
CJK Compat
ValueCountFrequency (%)
㎞ 1
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
50.0%
Ⅰ 1
50.0%
Misc Symbols
ValueCountFrequency (%)
★ 1
100.0%

저자명
Text

Distinct2046
Distinct (%)80.1%
Missing22
Missing (%)0.9%
Memory size20.3 KiB
2023-12-13T00:50:25.880279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length72
Median length67
Mean length15.483947
Min length2

Characters and Unicode

Total characters39546
Distinct characters825
Distinct categories11 ?
Distinct scripts7 ?
Distinct blocks9 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1830 ?
Unique (%)71.7%

Sample

1st row아리스토텔레스 지음 ; ; 조대호 옮김
2nd row로버트 해그스트롬 지음 ; ; 박성진 옮김
3rd row장하준 지음; ; 지승호 인터뷰
4th row저자: Angelo DeNisi, ; Ricky Griffin ; ; 공역자: 김남현, ; 송계충
5th row김수복 지음
ValueCountFrequency (%)
2281
 
20.9%
지음 1334
 
12.2%
옮김 662
 
6.1%
지은이 337
 
3.1%
옮긴이 127
 
1.2%
지방공기업평가원 100
 
0.9%
저 49
 
0.4%
공저 43
 
0.4%
그림 42
 
0.4%
저자 38
 
0.3%
Other values (3640) 5917
54.1%
2023-12-13T00:50:26.491365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9848
24.9%
; 2903
 
7.3%
지 1986
 
5.0%
음 1399
 
3.5%
김 1283
 
3.2%
이 1194
 
3.0%
, 880
 
2.2%
옮 799
 
2.0%
: 459
 
1.2%
은 454
 
1.1%
Other values (815) 18341
46.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 23639
59.8%
Space Separator 9848
24.9%
Other Punctuation 4456
 
11.3%
Lowercase Letter 758
 
1.9%
Uppercase Letter 644
 
1.6%
Open Punctuation 80
 
0.2%
Close Punctuation 80
 
0.2%
Decimal Number 26
 
0.1%
Math Symbol 9
 
< 0.1%
Dash Punctuation 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 1986
 
8.4%
음 1399
 
5.9%
김 1283
 
5.4%
이 1194
 
5.1%
옮 799
 
3.4%
은 454
 
1.9%
정 352
 
1.5%
스 328
 
1.4%
영 301
 
1.3%
원 257
 
1.1%
Other values (734) 15286
64.7%
Lowercase Letter
ValueCountFrequency (%)
a 104
13.7%
n 77
10.2%
e 77
10.2%
r 66
 
8.7%
i 65
 
8.6%
o 55
 
7.3%
l 40
 
5.3%
u 33
 
4.4%
s 31
 
4.1%
d 29
 
3.8%
Other values (15) 181
23.9%
Uppercase Letter
ValueCountFrequency (%)
M 64
 
9.9%
A 64
 
9.9%
C 47
 
7.3%
E 44
 
6.8%
S 43
 
6.7%
R 39
 
6.1%
K 38
 
5.9%
N 37
 
5.7%
B 33
 
5.1%
J 30
 
4.7%
Other values (15) 205
31.8%
Other Punctuation
ValueCountFrequency (%)
; 2903
65.1%
, 880
 
19.7%
: 459
 
10.3%
. 150
 
3.4%
· 46
 
1.0%
? 8
 
0.2%
& 6
 
0.1%
' 2
 
< 0.1%
＆ 1
 
< 0.1%
/ 1
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
1 7
26.9%
0 5
19.2%
3 3
11.5%
2 3
11.5%
9 2
 
7.7%
5 2
 
7.7%
6 2
 
7.7%
8 1
 
3.8%
4 1
 
3.8%
Open Punctuation
ValueCountFrequency (%)
[ 76
95.0%
( 3
 
3.8%
〈 1
 
1.2%
Close Punctuation
ValueCountFrequency (%)
] 76
95.0%
) 3
 
3.8%
〉 1
 
1.2%
Math Symbol
ValueCountFrequency (%)
< 4
44.4%
> 4
44.4%
+ 1
 
11.1%
Space Separator
ValueCountFrequency (%)
9848
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Other Symbol
ValueCountFrequency (%)
℃ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 23442
59.3%
Common 14505
36.7%
Latin 1401
 
3.5%
Han 187
 
0.5%
Katakana 9
 
< 0.1%
Cyrillic 1
 
< 0.1%
Hiragana 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 1986
 
8.5%
음 1399
 
6.0%
김 1283
 
5.5%
이 1194
 
5.1%
옮 799
 
3.4%
은 454
 
1.9%
정 352
 
1.5%
스 328
 
1.4%
영 301
 
1.3%
원 257
 
1.1%
Other values (620) 15089
64.4%
Han
ValueCountFrequency (%)
編 16
 
8.6%
著 14
 
7.5%
共 8
 
4.3%
譯 5
 
2.7%
技 4
 
2.1%
會 4
 
2.1%
術 4
 
2.1%
安 3
 
1.6%
生 3
 
1.6%
趙 3
 
1.6%
Other values (96) 123
65.8%
Latin
ValueCountFrequency (%)
a 104
 
7.4%
n 77
 
5.5%
e 77
 
5.5%
r 66
 
4.7%
i 65
 
4.6%
M 64
 
4.6%
A 64
 
4.6%
o 55
 
3.9%
C 47
 
3.4%
E 44
 
3.1%
Other values (39) 738
52.7%
Common
ValueCountFrequency (%)
9848
67.9%
; 2903
 
20.0%
, 880
 
6.1%
: 459
 
3.2%
. 150
 
1.0%
[ 76
 
0.5%
] 76
 
0.5%
· 46
 
0.3%
? 8
 
0.1%
1 7
 
< 0.1%
Other values (21) 52
 
0.4%
Katakana
ValueCountFrequency (%)
ン 2
22.2%
タ 2
22.2%
コ 1
11.1%
サ 1
11.1%
ル 1
11.1%
ト 1
11.1%
セ 1
11.1%
Cyrillic
ValueCountFrequency (%)
О 1
100.0%
Hiragana
ValueCountFrequency (%)
ん 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 23442
59.3%
ASCII 15856
40.1%
CJK 180
 
0.5%
None 49
 
0.1%
Katakana 9
 
< 0.1%
CJK Compat Ideographs 7
 
< 0.1%
Cyrillic 1
 
< 0.1%
Letterlike Symbols 1
 
< 0.1%
Hiragana 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9848
62.1%
; 2903
 
18.3%
, 880
 
5.5%
: 459
 
2.9%
. 150
 
0.9%
a 104
 
0.7%
n 77
 
0.5%
e 77
 
0.5%
[ 76
 
0.5%
] 76
 
0.5%
Other values (65) 1206
 
7.6%
Hangul
ValueCountFrequency (%)
지 1986
 
8.5%
음 1399
 
6.0%
김 1283
 
5.5%
이 1194
 
5.1%
옮 799
 
3.4%
은 454
 
1.9%
정 352
 
1.5%
스 328
 
1.4%
영 301
 
1.3%
원 257
 
1.1%
Other values (620) 15089
64.4%
None
ValueCountFrequency (%)
· 46
93.9%
＆ 1
 
2.0%
〈 1
 
2.0%
〉 1
 
2.0%
CJK
ValueCountFrequency (%)
編 16
 
8.9%
著 14
 
7.8%
共 8
 
4.4%
譯 5
 
2.8%
技 4
 
2.2%
會 4
 
2.2%
術 4
 
2.2%
安 3
 
1.7%
生 3
 
1.7%
趙 3
 
1.7%
Other values (90) 116
64.4%
Katakana
ValueCountFrequency (%)
ン 2
22.2%
タ 2
22.2%
コ 1
11.1%
サ 1
11.1%
ル 1
11.1%
ト 1
11.1%
セ 1
11.1%
CJK Compat Ideographs
ValueCountFrequency (%)
劉 2
28.6%
林 1
14.3%
龍 1
14.3%
璉 1
14.3%
李 1
14.3%
更 1
14.3%
Cyrillic
ValueCountFrequency (%)
О 1
100.0%
Letterlike Symbols
ValueCountFrequency (%)
℃ 1
100.0%
Hiragana
ValueCountFrequency (%)
ん 1
100.0%

발행처
Text

Distinct1102
Distinct (%)43.1%
Missing19
Missing (%)0.7%
Memory size20.3 KiB
2023-12-13T00:50:26.857726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length27
Mean length6.2459914
Min length1

Characters and Unicode

Total characters15971
Distinct characters606
Distinct categories9 ?
Distinct scripts5 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique733 ?
Unique (%)28.7%

Sample

1st row길,
2nd row부크온 :
3rd row시대의창,
4th row초아출판사,
5th row중앙경제사,
ValueCountFrequency (%)
224
 
7.4%
지방공기업평가원 100
 
3.3%
문학동네 67
 
2.2%
21세기북스 50
 
1.7%
위즈덤하우스 46
 
1.5%
민음사 41
 
1.4%
kmac 41
 
1.4%
박영사 35
 
1.2%
한길사 32
 
1.1%
한국경제신문 27
 
0.9%
Other values (1008) 2355
78.0%
2023-12-13T00:50:27.792939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 1867
 
11.7%
스 544
 
3.4%
496
 
3.1%
사 455
 
2.8%
북 337
 
2.1%
문 266
 
1.7%
한 257
 
1.6%
: 245
 
1.5%
지 233
 
1.5%
원 193
 
1.2%
Other values (596) 11078
69.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11609
72.7%
Other Punctuation 2139
 
13.4%
Uppercase Letter 709
 
4.4%
Lowercase Letter 659
 
4.1%
Space Separator 496
 
3.1%
Decimal Number 133
 
0.8%
Open Punctuation 113
 
0.7%
Close Punctuation 112
 
0.7%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 544
 
4.7%
사 455
 
3.9%
북 337
 
2.9%
문 266
 
2.3%
한 257
 
2.2%
지 233
 
2.0%
원 193
 
1.7%
이 193
 
1.7%
기 185
 
1.6%
판 179
 
1.5%
Other values (526) 8767
75.5%
Lowercase Letter
ValueCountFrequency (%)
o 93
14.1%
s 61
9.3%
e 57
8.6%
a 57
8.6%
n 54
 
8.2%
i 52
 
7.9%
r 45
 
6.8%
t 38
 
5.8%
k 35
 
5.3%
b 32
 
4.9%
Other values (15) 135
20.5%
Uppercase Letter
ValueCountFrequency (%)
A 77
10.9%
K 77
10.9%
M 66
9.3%
S 63
8.9%
C 59
8.3%
R 56
7.9%
B 49
 
6.9%
P 47
 
6.6%
H 41
 
5.8%
E 37
 
5.2%
Other values (14) 137
19.3%
Other Punctuation
ValueCountFrequency (%)
, 1867
87.3%
: 245
 
11.5%
. 11
 
0.5%
& 6
 
0.3%
; 4
 
0.2%
' 2
 
0.1%
/ 2
 
0.1%
· 1
 
< 0.1%
＆ 1
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
2 63
47.4%
1 61
45.9%
3 4
 
3.0%
0 3
 
2.3%
6 1
 
0.8%
5 1
 
0.8%
Open Punctuation
ValueCountFrequency (%)
( 112
99.1%
[ 1
 
0.9%
Close Punctuation
ValueCountFrequency (%)
) 111
99.1%
] 1
 
0.9%
Space Separator
ValueCountFrequency (%)
496
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11365
71.2%
Common 2994
 
18.7%
Latin 1368
 
8.6%
Han 235
 
1.5%
Hiragana 9
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 544
 
4.8%
사 455
 
4.0%
북 337
 
3.0%
문 266
 
2.3%
한 257
 
2.3%
지 233
 
2.1%
원 193
 
1.7%
이 193
 
1.7%
기 185
 
1.6%
판 179
 
1.6%
Other values (450) 8523
75.0%
Han
ValueCountFrequency (%)
社 31
 
13.2%
文 16
 
6.8%
法 15
 
6.4%
英 10
 
4.3%
博 10
 
4.3%
韓 9
 
3.8%
國 8
 
3.4%
産 8
 
3.4%
開 6
 
2.6%
水 6
 
2.6%
Other values (59) 116
49.4%
Latin
ValueCountFrequency (%)
o 93
 
6.8%
A 77
 
5.6%
K 77
 
5.6%
M 66
 
4.8%
S 63
 
4.6%
s 61
 
4.5%
C 59
 
4.3%
e 57
 
4.2%
a 57
 
4.2%
R 56
 
4.1%
Other values (39) 702
51.3%
Common
ValueCountFrequency (%)
, 1867
62.4%
496
 
16.6%
: 245
 
8.2%
( 112
 
3.7%
) 111
 
3.7%
2 63
 
2.1%
1 61
 
2.0%
. 11
 
0.4%
& 6
 
0.2%
; 4
 
0.1%
Other values (11) 18
 
0.6%
Hiragana
ValueCountFrequency (%)
き 2
22.2%
う 2
22.2%
こ 1
11.1%
ょ 1
11.1%
ざ 1
11.1%
い 1
11.1%
ん 1
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11365
71.2%
ASCII 4360
 
27.3%
CJK 235
 
1.5%
Hiragana 9
 
0.1%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 1867
42.8%
496
 
11.4%
: 245
 
5.6%
( 112
 
2.6%
) 111
 
2.5%
o 93
 
2.1%
A 77
 
1.8%
K 77
 
1.8%
M 66
 
1.5%
2 63
 
1.4%
Other values (58) 1153
26.4%
Hangul
ValueCountFrequency (%)
스 544
 
4.8%
사 455
 
4.0%
북 337
 
3.0%
문 266
 
2.3%
한 257
 
2.3%
지 233
 
2.1%
원 193
 
1.7%
이 193
 
1.7%
기 185
 
1.6%
판 179
 
1.6%
Other values (450) 8523
75.0%
CJK
ValueCountFrequency (%)
社 31
 
13.2%
文 16
 
6.8%
法 15
 
6.4%
英 10
 
4.3%
博 10
 
4.3%
韓 9
 
3.8%
國 8
 
3.4%
産 8
 
3.4%
開 6
 
2.6%
水 6
 
2.6%
Other values (59) 116
49.4%
Hiragana
ValueCountFrequency (%)
き 2
22.2%
う 2
22.2%
こ 1
11.1%
ょ 1
11.1%
ざ 1
11.1%
い 1
11.1%
ん 1
11.1%
None
ValueCountFrequency (%)
· 1
50.0%
＆ 1
50.0%

발행년
Categorical

Distinct37
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size20.3 KiB
2017
502 
2018
290 
2015
263 
2016
255 
2019
226 
Other values (32)
1040 

Length

Max length7
Median length4
Mean length4.0384317
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row2017
2nd row2017
3rd row2007
4th row2016
5th row2016

Common Values

ValueCountFrequency (%)
2017 502
19.5%
2018 290
11.3%
2015 263
10.2%
2016 255
9.9%
2019 226
8.8%
2014 146
 
5.7%
2020 119
 
4.6%
2021 100
 
3.9%
2012 94
 
3.6%
2013 92
 
3.6%
Other values (27) 489
19.0%

Length

2023-12-13T00:50:27.977487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2017 502
19.5%
2018 290
11.3%
2015 263
10.2%
2016 255
9.9%
2019 226
8.8%
2014 146
 
5.7%
2020 119
 
4.6%
2021 100
 
3.9%
2012 94
 
3.6%
2013 92
 
3.6%
Other values (27) 489
19.0%

등록일
Date

Distinct105
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size20.3 KiB
Minimum2018-01-17 00:00:00
Maximum2022-01-05 00:00:00
2023-12-13T00:50:28.121582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:50:28.333813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

청구기호
Text

Distinct2228
Distinct (%)86.5%
Missing0
Missing (%)0.0%
Memory size20.3 KiB
2023-12-13T00:50:28.818148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length19
Mean length11.017857
Min length2

Characters and Unicode

Total characters28382
Distinct characters303
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2030 ?
Unique (%)78.8%

Sample

1st row 110 아298ㅎ
2nd row 327.8 로44ㅎ
3rd row 320.911 장92ㅈ
4th row 325.3 저72ㅇ
5th row 368.11 김56ㅂ
ValueCountFrequency (%)
818 97
 
1.8%
지42ㅈ 71
 
1.3%
지67ㅇ 65
 
1.2%
813.6 54
 
1.0%
325.211 52
 
1.0%
813.7 51
 
1.0%
c.2 48
 
0.9%
325.1 47
 
0.9%
833.6 41
 
0.8%
199.1 39
 
0.7%
Other values (2280) 4697
89.3%
2023-12-13T00:50:29.579868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5149
18.1%
3 2191
 
7.7%
2 2075
 
7.3%
1 2059
 
7.3%
. 2045
 
7.2%
8 1765
 
6.2%
4 1535
 
5.4%
5 1517
 
5.3%
6 1440
 
5.1%
9 1365
 
4.8%
Other values (293) 7241
25.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 16272
57.3%
Space Separator 5149
 
18.1%
Other Letter 4453
 
15.7%
Other Punctuation 2047
 
7.2%
Lowercase Letter 348
 
1.2%
Uppercase Letter 101
 
0.4%
Connector Punctuation 5
 
< 0.1%
Close Punctuation 2
 
< 0.1%
Open Punctuation 2
 
< 0.1%
Letter Number 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 439
 
9.9%
ㅇ 363
 
8.2%
ㅈ 267
 
6.0%
ㅅ 211
 
4.7%
ㄱ 203
 
4.6%
ㅎ 176
 
4.0%
김 174
 
3.9%
ㄴ 155
 
3.5%
이 142
 
3.2%
ㄷ 131
 
2.9%
Other values (239) 2192
49.2%
Uppercase Letter
ValueCountFrequency (%)
K 25
24.8%
J 11
10.9%
C 7
 
6.9%
B 7
 
6.9%
R 7
 
6.9%
E 6
 
5.9%
G 5
 
5.0%
S 5
 
5.0%
D 5
 
5.0%
M 4
 
4.0%
Other values (9) 19
18.8%
Lowercase Letter
ValueCountFrequency (%)
c 189
54.3%
v 124
35.6%
t 8
 
2.3%
p 7
 
2.0%
s 3
 
0.9%
i 3
 
0.9%
r 2
 
0.6%
g 2
 
0.6%
b 2
 
0.6%
m 2
 
0.6%
Other values (6) 6
 
1.7%
Decimal Number
ValueCountFrequency (%)
3 2191
13.5%
2 2075
12.8%
1 2059
12.7%
8 1765
10.8%
4 1535
9.4%
5 1517
9.3%
6 1440
8.8%
9 1365
8.4%
7 1304
8.0%
0 1021
6.3%
Other Punctuation
ValueCountFrequency (%)
. 2045
99.9%
/ 2
 
0.1%
Letter Number
ValueCountFrequency (%)
Ⅰ 1
50.0%
Ⅱ 1
50.0%
Space Separator
ValueCountFrequency (%)
5149
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 5
100.0%
Close Punctuation
ValueCountFrequency (%)
] 2
100.0%
Open Punctuation
ValueCountFrequency (%)
[ 2
100.0%
Math Symbol
ValueCountFrequency (%)
= 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 23478
82.7%
Hangul 4453
 
15.7%
Latin 451
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 439
 
9.9%
ㅇ 363
 
8.2%
ㅈ 267
 
6.0%
ㅅ 211
 
4.7%
ㄱ 203
 
4.6%
ㅎ 176
 
4.0%
김 174
 
3.9%
ㄴ 155
 
3.5%
이 142
 
3.2%
ㄷ 131
 
2.9%
Other values (239) 2192
49.2%
Latin
ValueCountFrequency (%)
c 189
41.9%
v 124
27.5%
K 25
 
5.5%
J 11
 
2.4%
t 8
 
1.8%
C 7
 
1.6%
B 7
 
1.6%
p 7
 
1.6%
R 7
 
1.6%
E 6
 
1.3%
Other values (27) 60
 
13.3%
Common
ValueCountFrequency (%)
5149
21.9%
3 2191
9.3%
2 2075
8.8%
1 2059
 
8.8%
. 2045
 
8.7%
8 1765
 
7.5%
4 1535
 
6.5%
5 1517
 
6.5%
6 1440
 
6.1%
9 1365
 
5.8%
Other values (7) 2337
10.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 23927
84.3%
Hangul 2410
 
8.5%
Compat Jamo 2043
 
7.2%
Number Forms 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5149
21.5%
3 2191
9.2%
2 2075
8.7%
1 2059
 
8.6%
. 2045
 
8.5%
8 1765
 
7.4%
4 1535
 
6.4%
5 1517
 
6.3%
6 1440
 
6.0%
9 1365
 
5.7%
Other values (42) 2786
11.6%
Hangul
ValueCountFrequency (%)
지 439
 
18.2%
김 174
 
7.2%
이 142
 
5.9%
박 83
 
3.4%
정 50
 
2.1%
최 48
 
2.0%
조 43
 
1.8%
한 43
 
1.8%
저 42
 
1.7%
기 39
 
1.6%
Other values (220) 1307
54.2%
Compat Jamo
ValueCountFrequency (%)
ㅇ 363
17.8%
ㅈ 267
13.1%
ㅅ 211
10.3%
ㄱ 203
9.9%
ㅎ 176
8.6%
ㄴ 155
7.6%
ㄷ 131
 
6.4%
ㅂ 131
 
6.4%
ㅁ 108
 
5.3%
ㅌ 73
 
3.6%
Other values (9) 225
11.0%
Number Forms
ValueCountFrequency (%)
Ⅰ 1
50.0%
Ⅱ 1
50.0%

Interactions

2023-12-13T00:50:23.328187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T00:50:29.723504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호발행년
번호1.0000.788
발행년0.7881.000
2023-12-13T00:50:29.842526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호발행년
번호1.0000.413
발행년0.4131.000

Missing values

2023-12-13T00:50:23.534748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T00:50:23.705243image/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.
2023-12-13T00:50:23.820729image/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

번호자료명저자명발행처발행년등록일청구기호
01형이상학 /아리스토텔레스 지음 ; ; 조대호 옮김길,20172018-01-17110 아298ㅎ
12현명한 투자자의 인문학 /로버트 해그스트롬 지음 ; ; 박성진 옮김부크온 :20172018-01-17327.8 로44ㅎ
23장하준, 한국경제 길을 말하다: ; 위기의 대한민국, 상생의 대안 '사회적 대타협'/장하준 지음; ; 지승호 인터뷰시대의창,20072018-01-17320.911 장92ㅈ
34인적자원 관리 : ; Human Resources /저자: Angelo DeNisi, ; Ricky Griffin ; ; 공역자: 김남현, ; 송계충초아출판사,20162018-01-17325.3 저72ㅇ
45비정규직 노동법 /김수복 지음중앙경제사,20162018-01-17368.11 김56ㅂ
56비정규직의 이해대변구조와 노사관계 /執筆陣: 이정희, ; 김종진, ; 박종식, ; 송용한, ; 안정화, ; 정재우, ; 진숙경한국노동연구원,20162018-01-17321.546 집898ㅂ
67(New) 테니스교본 = = New tennis /가미야 가쓰노리 지음 ; ; 김수연, ; 김석환 옮김삼호미디어,20122018-01-17695.5 가38
78월스트리트 제국: ; 금융자본 권력의 역사 350년/존 스틸 고든 지음; ; 강남규 옮김참솔,20092018-01-18327.9
89대마도의 영토권 : ; 영토문화론에 의한 영토권 I /신용우 지음글로벌콘텐츠,20162018-01-18913.4 신65ㄷ
910(알기 쉬운) 정보보호개론 = ; 흥미로운 암호 기술의 세계 / = Information security and cryptography히로시 유키 지음 ; ; 이재광, ; 전태일, ; 조재신 옮김Infinity books,20172018-01-18004.6 히295
번호자료명저자명발행처발행년등록일청구기호
25662567Storytelling with data : a data visualization guide for business professionalsCole nussbaumer knaflicWILEY[발행년불명]2021-11-29C689s
25672568Storytelling with data : Let's practice!Cole Nussbaumer Knaflic<NA>[발행년불명]2021-12-03C689s2
25682569보이지 않는 여자들 ;편향된 데이터는 어떻게 세계의 절반을 지우는가캐럴라?? 크리아도 페레스 지음 ;황가한 옮김웅진지식하우스20212021-12-27337.2 캐294ㅂ
25692570휴머니티 웍스알렉산드라 르빗 지음 ;서정아 옮김성신미디어20202021-12-27325.24 알294ㅎ
25702571아직 끝이 아니다 ;배구 여제 김연경의 세상을 향한 강스파이크지은이 ;?瓦О?가연20212021-12-31695.204 지67ㅇ
25712572그대의 향기가 바람에 날릴 때 ;사랑하는 사람과 함께 읽고 싶은 시 ;강원?? 시집지은이 ;강원석 ;그림 ;젠아르떼아트앤아트피플20202022-01-05811.7 지67ㄱ
25722573출근하자마자 퇴근하고 싶다 ;지치면 안 되는 직장인의 하루 공감 심리학조명국 지음프리렉20172022-01-05189.7 조34ㅊ
25732574어떻게 민주주의는 무너지는가 ;우리가 놓치는 민주주의 위기 신호스티븐 레비츠키,대니얼 지블랫 지음 ;박세연 옮김어크로스20202022-01-05340.22 스888ㅇ
25742575봉황종 평화를 울리다지은이 ;도학회종문화사20182022-01-05813.7 지67ㅂ
25752576누가 포퓰리스트인가 ;그가 말하는 '국민' 안에 내가 들어갈까얀 베르너 ?족? 지음 ;노시내 옮김마티20172022-01-05340.2 얀44ㄴ