Overview

Dataset statistics

Number of variables6
Number of observations10000
Missing cells2
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory556.6 KiB
Average record size in memory57.0 B

Variable types

Numeric1
Text3
Categorical1
DateTime1

Dataset

Description인천광역시 중구 행정자료실에 보유한 도서 현황입니다. 파일명 인천광역시 중구 행정자료실도서현황 내용 도서명, 저자, 출판사 등
URLhttps://www.data.go.kr/data/3044171/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
번호 is highly overall correlated with 발행년도High correlation
발행년도 is highly overall correlated with 번호High correlation
번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 14:16:25.183382
Analysis finished2023-12-12 14:16:27.418131
Duration2.23 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13389.715
Minimum3
Maximum26596
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T23:16:27.493538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile1449.8
Q16851.25
median13473
Q319976.25
95-th percentile25224.1
Maximum26596
Range26593
Interquartile range (IQR)13125

Descriptive statistics

Standard deviation7604.8071
Coefficient of variation (CV)0.56795885
Kurtosis-1.1848181
Mean13389.715
Median Absolute Deviation (MAD)6560
Skewness-0.01013696
Sum1.3389715 × 108
Variance57833091
MonotonicityNot monotonic
2023-12-12T23:16:27.648610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6967 1
 
< 0.1%
10576 1
 
< 0.1%
16630 1
 
< 0.1%
24299 1
 
< 0.1%
14120 1
 
< 0.1%
18575 1
 
< 0.1%
9652 1
 
< 0.1%
3988 1
 
< 0.1%
5177 1
 
< 0.1%
2585 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
15 1
< 0.1%
17 1
< 0.1%
18 1
< 0.1%
21 1
< 0.1%
23 1
< 0.1%
27 1
< 0.1%
ValueCountFrequency (%)
26596 1
< 0.1%
26594 1
< 0.1%
26591 1
< 0.1%
26588 1
< 0.1%
26587 1
< 0.1%
26585 1
< 0.1%
26584 1
< 0.1%
26583 1
< 0.1%
26579 1
< 0.1%
26577 1
< 0.1%

도서명
Text

Distinct9688
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T23:16:27.945598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length89
Median length64
Mean length17.0273
Min length1

Characters and Unicode

Total characters170273
Distinct characters1682
Distinct categories16 ?
Distinct scripts5 ?
Distinct blocks10 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9430 ?
Unique (%)94.3%

Sample

1st row국가를 당사자로 하는 계약에 관한 법령의 조달청 해석기준 : 2005.6.30
2nd row관보 . 16586
3rd row정신건강론
4th row내 입에서 개가 튀어나올 때
5th row한국의창-인명록-
ValueCountFrequency (%)
3571
 
8.8%
구보 454
 
1.1%
관보 405
 
1.0%
2 394
 
1.0%
1 388
 
1.0%
장편소설 248
 
0.6%
3 186
 
0.5%
이야기 171
 
0.4%
위한 126
 
0.3%
4 112
 
0.3%
Other values (18463) 34612
85.1%
2023-12-12T23:16:28.441317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
30745
 
18.1%
. 4158
 
2.4%
의 3118
 
1.8%
1 2938
 
1.7%
: 2632
 
1.5%
이 2337
 
1.4%
2 2288
 
1.3%
0 2112
 
1.2%
( 1800
 
1.1%
) 1800
 
1.1%
Other values (1672) 116345
68.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 106669
62.6%
Space Separator 30745
 
18.1%
Decimal Number 13714
 
8.1%
Other Punctuation 8737
 
5.1%
Lowercase Letter 4234
 
2.5%
Open Punctuation 1844
 
1.1%
Close Punctuation 1844
 
1.1%
Uppercase Letter 1718
 
1.0%
Dash Punctuation 480
 
0.3%
Math Symbol 253
 
0.1%
Other values (6) 35
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 3118
 
2.9%
이 2337
 
2.2%
사 1743
 
1.6%
는 1639
 
1.5%
보 1628
 
1.5%
지 1590
 
1.5%
기 1575
 
1.5%
한 1391
 
1.3%
리 1254
 
1.2%
다 1230
 
1.2%
Other values (1565) 89164
83.6%
Lowercase Letter
ValueCountFrequency (%)
e 515
12.2%
o 436
 
10.3%
a 337
 
8.0%
i 314
 
7.4%
r 304
 
7.2%
n 300
 
7.1%
t 278
 
6.6%
s 247
 
5.8%
l 214
 
5.1%
h 195
 
4.6%
Other values (17) 1094
25.8%
Uppercase Letter
ValueCountFrequency (%)
S 171
 
10.0%
I 144
 
8.4%
C 131
 
7.6%
E 129
 
7.5%
T 128
 
7.5%
R 88
 
5.1%
O 85
 
4.9%
A 83
 
4.8%
D 82
 
4.8%
L 76
 
4.4%
Other values (16) 601
35.0%
Other Punctuation
ValueCountFrequency (%)
. 4158
47.6%
: 2632
30.1%
, 1041
 
11.9%
! 265
 
3.0%
· 224
 
2.6%
? 190
 
2.2%
' 67
 
0.8%
/ 62
 
0.7%
& 35
 
0.4%
% 15
 
0.2%
Other values (10) 48
 
0.5%
Decimal Number
ValueCountFrequency (%)
1 2938
21.4%
2 2288
16.7%
0 2112
15.4%
3 1086
 
7.9%
9 1032
 
7.5%
6 979
 
7.1%
5 919
 
6.7%
4 910
 
6.6%
7 802
 
5.8%
8 648
 
4.7%
Math Symbol
ValueCountFrequency (%)
= 167
66.0%
~ 56
 
22.1%
+ 15
 
5.9%
< 7
 
2.8%
> 7
 
2.8%
| 1
 
0.4%
Open Punctuation
ValueCountFrequency (%)
( 1800
97.6%
[ 35
 
1.9%
『 6
 
0.3%
「 3
 
0.2%
Close Punctuation
ValueCountFrequency (%)
) 1800
97.6%
] 35
 
1.9%
』 6
 
0.3%
」 3
 
0.2%
Letter Number
ValueCountFrequency (%)
Ⅱ 18
60.0%
Ⅲ 6
 
20.0%
Ⅰ 6
 
20.0%
Space Separator
ValueCountFrequency (%)
30745
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 480
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 1
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 1
100.0%
Other Number
ValueCountFrequency (%)
⑥ 1
100.0%
Currency Symbol
ValueCountFrequency (%)
$ 1
100.0%
Other Symbol
ValueCountFrequency (%)
□ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 105257
61.8%
Common 57622
33.8%
Latin 5981
 
3.5%
Han 1412
 
0.8%
Greek 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 3118
 
3.0%
이 2337
 
2.2%
사 1743
 
1.7%
는 1639
 
1.6%
보 1628
 
1.5%
지 1590
 
1.5%
기 1575
 
1.5%
한 1391
 
1.3%
리 1254
 
1.2%
다 1230
 
1.2%
Other values (1163) 87752
83.4%
Han
ValueCountFrequency (%)
國 41
 
2.9%
大 39
 
2.8%
說 37
 
2.6%
小 28
 
2.0%
行 24
 
1.7%
政 22
 
1.6%
地 22
 
1.6%
中 21
 
1.5%
下 20
 
1.4%
河 20
 
1.4%
Other values (392) 1138
80.6%
Latin
ValueCountFrequency (%)
e 515
 
8.6%
o 436
 
7.3%
a 337
 
5.6%
i 314
 
5.2%
r 304
 
5.1%
n 300
 
5.0%
t 278
 
4.6%
s 247
 
4.1%
l 214
 
3.6%
h 195
 
3.3%
Other values (45) 2841
47.5%
Common
ValueCountFrequency (%)
30745
53.4%
. 4158
 
7.2%
1 2938
 
5.1%
: 2632
 
4.6%
2 2288
 
4.0%
0 2112
 
3.7%
( 1800
 
3.1%
) 1800
 
3.1%
3 1086
 
1.9%
, 1041
 
1.8%
Other values (41) 7022
 
12.2%
Greek
ValueCountFrequency (%)
μ 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 105242
61.8%
ASCII 63311
37.2%
CJK 1376
 
0.8%
None 258
 
0.2%
CJK Compat Ideographs 36
 
< 0.1%
Number Forms 30
 
< 0.1%
Compat Jamo 15
 
< 0.1%
Punctuation 3
 
< 0.1%
Enclosed Alphanum 1
 
< 0.1%
Geometric Shapes 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
30745
48.6%
. 4158
 
6.6%
1 2938
 
4.6%
: 2632
 
4.2%
2 2288
 
3.6%
0 2112
 
3.3%
( 1800
 
2.8%
) 1800
 
2.8%
3 1086
 
1.7%
, 1041
 
1.6%
Other values (79) 12711
20.1%
Hangul
ValueCountFrequency (%)
의 3118
 
3.0%
이 2337
 
2.2%
사 1743
 
1.7%
는 1639
 
1.6%
보 1628
 
1.5%
지 1590
 
1.5%
기 1575
 
1.5%
한 1391
 
1.3%
리 1254
 
1.2%
다 1230
 
1.2%
Other values (1161) 87737
83.4%
None
ValueCountFrequency (%)
· 224
86.8%
＆ 6
 
2.3%
『 6
 
2.3%
』 6
 
2.3%
％ 6
 
2.3%
「 3
 
1.2%
」 3
 
1.2%
！ 2
 
0.8%
／ 1
 
0.4%
μ 1
 
0.4%
CJK
ValueCountFrequency (%)
國 41
 
3.0%
大 39
 
2.8%
說 37
 
2.7%
小 28
 
2.0%
行 24
 
1.7%
政 22
 
1.6%
地 22
 
1.6%
中 21
 
1.5%
下 20
 
1.5%
河 20
 
1.5%
Other values (376) 1102
80.1%
Number Forms
ValueCountFrequency (%)
Ⅱ 18
60.0%
Ⅲ 6
 
20.0%
Ⅰ 6
 
20.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 14
93.3%
ㄱ 1
 
6.7%
CJK Compat Ideographs
ValueCountFrequency (%)
女 6
16.7%
李 6
16.7%
理 4
11.1%
列 4
11.1%
論 3
8.3%
羅 2
 
5.6%
烈 2
 
5.6%
異 1
 
2.8%
不 1
 
2.8%
靈 1
 
2.8%
Other values (6) 6
16.7%
Punctuation
ValueCountFrequency (%)
’ 1
33.3%
‘ 1
33.3%
… 1
33.3%
Enclosed Alphanum
ValueCountFrequency (%)
⑥ 1
100.0%
Geometric Shapes
ValueCountFrequency (%)
□ 1
100.0%

저자
Text

Distinct6762
Distinct (%)67.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T23:16:29.175397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length120
Median length90
Mean length11.1194
Min length2

Characters and Unicode

Total characters111194
Distinct characters1247
Distinct categories10 ?
Distinct scripts5 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5901 ?
Unique (%)59.0%

Sample

1st row조달청 [편]
2nd row행정자치부 [편]
3rd row이영실;이윤로
4th row브라이언 코나한 글;김인경 옮김
5th row김승태
ValueCountFrequency (%)
편 2107
 
8.7%
옮김 1787
 
7.4%
그림 847
 
3.5%
인천광역시 780
 
3.2%
중구 466
 
1.9%
행정자치부 436
 
1.8%
저 350
 
1.4%
편저 185
 
0.8%
공 146
 
0.6%
글·그림 135
 
0.6%
Other values (9817) 16964
70.1%
2023-12-12T23:16:29.768576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
16268
 
14.6%
; 4865
 
4.4%
김 3854
 
3.5%
[ 3087
 
2.8%
] 3086
 
2.8%
편 2714
 
2.4%
옮 2296
 
2.1%
이 2296
 
2.1%
정 1689
 
1.5%
그 1565
 
1.4%
Other values (1237) 69474
62.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 78056
70.2%
Space Separator 16268
 
14.6%
Other Punctuation 5808
 
5.2%
Lowercase Letter 3223
 
2.9%
Open Punctuation 3097
 
2.8%
Close Punctuation 3096
 
2.8%
Uppercase Letter 1489
 
1.3%
Decimal Number 107
 
0.1%
Dash Punctuation 40
 
< 0.1%
Math Symbol 10
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 3854
 
4.9%
편 2714
 
3.5%
옮 2296
 
2.9%
이 2296
 
2.9%
정 1689
 
2.2%
그 1565
 
2.0%
림 1526
 
2.0%
시 1420
 
1.8%
글 1357
 
1.7%
인 1340
 
1.7%
Other values (1155) 57999
74.3%
Lowercase Letter
ValueCountFrequency (%)
a 455
14.1%
i 374
11.6%
o 290
 
9.0%
e 268
 
8.3%
n 184
 
5.7%
u 183
 
5.7%
r 181
 
5.6%
h 177
 
5.5%
t 151
 
4.7%
m 139
 
4.3%
Other values (16) 821
25.5%
Uppercase Letter
ValueCountFrequency (%)
S 156
 
10.5%
A 145
 
9.7%
K 118
 
7.9%
M 104
 
7.0%
T 84
 
5.6%
B 82
 
5.5%
I 76
 
5.1%
O 75
 
5.0%
R 73
 
4.9%
D 66
 
4.4%
Other values (16) 510
34.3%
Other Punctuation
ValueCountFrequency (%)
; 4865
83.8%
. 392
 
6.7%
· 330
 
5.7%
: 126
 
2.2%
, 72
 
1.2%
& 11
 
0.2%
/ 6
 
0.1%
' 3
 
0.1%
! 2
 
< 0.1%
? 1
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
1 24
22.4%
0 23
21.5%
2 15
14.0%
5 11
10.3%
8 8
 
7.5%
6 7
 
6.5%
4 7
 
6.5%
3 6
 
5.6%
7 4
 
3.7%
9 2
 
1.9%
Open Punctuation
ValueCountFrequency (%)
[ 3087
99.7%
( 9
 
0.3%
「 1
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
] 3086
99.7%
) 9
 
0.3%
」 1
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
< 5
50.0%
> 5
50.0%
Space Separator
ValueCountFrequency (%)
16268
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 40
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 77018
69.3%
Common 28426
 
25.6%
Latin 4712
 
4.2%
Han 1037
 
0.9%
Hiragana 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 3854
 
5.0%
편 2714
 
3.5%
옮 2296
 
3.0%
이 2296
 
3.0%
정 1689
 
2.2%
그 1565
 
2.0%
림 1526
 
2.0%
시 1420
 
1.8%
글 1357
 
1.8%
인 1340
 
1.7%
Other values (833) 56961
74.0%
Han
ValueCountFrequency (%)
著 108
 
10.4%
李 25
 
2.4%
譯 24
 
2.3%
編 20
 
1.9%
金 19
 
1.8%
究 18
 
1.7%
硏 18
 
1.7%
政 17
 
1.6%
院 17
 
1.6%
共 16
 
1.5%
Other values (311) 755
72.8%
Latin
ValueCountFrequency (%)
a 455
 
9.7%
i 374
 
7.9%
o 290
 
6.2%
e 268
 
5.7%
n 184
 
3.9%
u 183
 
3.9%
r 181
 
3.8%
h 177
 
3.8%
S 156
 
3.3%
t 151
 
3.2%
Other values (42) 2293
48.7%
Common
ValueCountFrequency (%)
16268
57.2%
; 4865
 
17.1%
[ 3087
 
10.9%
] 3086
 
10.9%
. 392
 
1.4%
· 330
 
1.2%
: 126
 
0.4%
, 72
 
0.3%
- 40
 
0.1%
1 24
 
0.1%
Other values (20) 136
 
0.5%
Hiragana
ValueCountFrequency (%)
み 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 77017
69.3%
ASCII 32806
29.5%
CJK 1000
 
0.9%
None 332
 
0.3%
CJK Compat Ideographs 37
 
< 0.1%
Hiragana 1
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
16268
49.6%
; 4865
 
14.8%
[ 3087
 
9.4%
] 3086
 
9.4%
a 455
 
1.4%
. 392
 
1.2%
i 374
 
1.1%
o 290
 
0.9%
e 268
 
0.8%
n 184
 
0.6%
Other values (69) 3537
 
10.8%
Hangul
ValueCountFrequency (%)
김 3854
 
5.0%
편 2714
 
3.5%
옮 2296
 
3.0%
이 2296
 
3.0%
정 1689
 
2.2%
그 1565
 
2.0%
림 1526
 
2.0%
시 1420
 
1.8%
글 1357
 
1.8%
인 1340
 
1.7%
Other values (832) 56960
74.0%
None
ValueCountFrequency (%)
· 330
99.4%
」 1
 
0.3%
「 1
 
0.3%
CJK
ValueCountFrequency (%)
著 108
 
10.8%
譯 24
 
2.4%
編 20
 
2.0%
金 19
 
1.9%
究 18
 
1.8%
硏 18
 
1.8%
政 17
 
1.7%
院 17
 
1.7%
共 16
 
1.6%
外 16
 
1.6%
Other values (301) 727
72.7%
CJK Compat Ideographs
ValueCountFrequency (%)
李 25
67.6%
良 3
 
8.1%
烈 2
 
5.4%
魯 1
 
2.7%
老 1
 
2.7%
羅 1
 
2.7%
柳 1
 
2.7%
劉 1
 
2.7%
龍 1
 
2.7%
林 1
 
2.7%
Hiragana
ValueCountFrequency (%)
み 1
100.0%
Compat Jamo
ValueCountFrequency (%)
ㄱ 1
100.0%

출판사
Text

Distinct2640
Distinct (%)26.4%
Missing2
Missing (%)< 0.1%
Memory size156.2 KiB
2023-12-12T23:16:30.084164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length23
Mean length5.0428086
Min length1

Characters and Unicode

Total characters50418
Distinct characters847
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1514 ?
Unique (%)15.1%

Sample

1st row조달청
2nd row행정자치부
3rd row창지사
4th row책과콩나무
5th row동아일보사
ValueCountFrequency (%)
인천광역시 742
 
6.9%
중구 446
 
4.1%
행정자치부 438
 
4.1%
인천발전연구원 147
 
1.4%
문학동네 144
 
1.3%
인천광역시중구 139
 
1.3%
대원씨아이 94
 
0.9%
김영사 92
 
0.9%
창비 91
 
0.8%
서울문화사 87
 
0.8%
Other values (2670) 8389
77.6%
2023-12-12T23:16:30.640129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 1905
 
3.8%
인 1411
 
2.8%
시 1326
 
2.6%
구 1243
 
2.5%
천 1240
 
2.5%
광 1023
 
2.0%
역 1013
 
2.0%
스 1000
 
2.0%
원 938
 
1.9%
문 921
 
1.8%
Other values (837) 38398
76.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 47629
94.5%
Lowercase Letter 842
 
1.7%
Space Separator 812
 
1.6%
Uppercase Letter 610
 
1.2%
Decimal Number 217
 
0.4%
Other Punctuation 207
 
0.4%
Close Punctuation 45
 
0.1%
Open Punctuation 45
 
0.1%
Dash Punctuation 11
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 1905
 
4.0%
인 1411
 
3.0%
시 1326
 
2.8%
구 1243
 
2.6%
천 1240
 
2.6%
광 1023
 
2.1%
역 1013
 
2.1%
스 1000
 
2.1%
원 938
 
2.0%
문 921
 
1.9%
Other values (763) 35609
74.8%
Uppercase Letter
ValueCountFrequency (%)
B 118
19.3%
M 75
12.3%
K 53
 
8.7%
S 47
 
7.7%
H 32
 
5.2%
O 29
 
4.8%
R 29
 
4.8%
E 26
 
4.3%
T 22
 
3.6%
I 21
 
3.4%
Other values (15) 158
25.9%
Lowercase Letter
ValueCountFrequency (%)
o 169
20.1%
s 87
10.3%
e 84
10.0%
k 78
9.3%
a 68
8.1%
i 61
 
7.2%
n 48
 
5.7%
b 45
 
5.3%
d 37
 
4.4%
r 33
 
3.9%
Other values (13) 132
15.7%
Other Punctuation
ValueCountFrequency (%)
: 132
63.8%
& 32
 
15.5%
· 13
 
6.3%
; 9
 
4.3%
. 6
 
2.9%
＆ 4
 
1.9%
, 4
 
1.9%
! 2
 
1.0%
? 2
 
1.0%
# 2
 
1.0%
Decimal Number
ValueCountFrequency (%)
1 93
42.9%
2 89
41.0%
8 8
 
3.7%
5 7
 
3.2%
0 7
 
3.2%
4 5
 
2.3%
6 4
 
1.8%
3 3
 
1.4%
9 1
 
0.5%
Close Punctuation
ValueCountFrequency (%)
] 26
57.8%
) 19
42.2%
Open Punctuation
ValueCountFrequency (%)
[ 26
57.8%
( 19
42.2%
Space Separator
ValueCountFrequency (%)
812
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 46926
93.1%
Latin 1452
 
2.9%
Common 1337
 
2.7%
Han 703
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 1905
 
4.1%
인 1411
 
3.0%
시 1326
 
2.8%
구 1243
 
2.6%
천 1240
 
2.6%
광 1023
 
2.2%
역 1013
 
2.2%
스 1000
 
2.1%
원 938
 
2.0%
문 921
 
2.0%
Other values (618) 34906
74.4%
Han
ValueCountFrequency (%)
社 78
 
11.1%
院 26
 
3.7%
文 26
 
3.7%
究 25
 
3.6%
硏 25
 
3.6%
英 22
 
3.1%
政 22
 
3.1%
博 19
 
2.7%
經 19
 
2.7%
地 18
 
2.6%
Other values (135) 423
60.2%
Latin
ValueCountFrequency (%)
o 169
 
11.6%
B 118
 
8.1%
s 87
 
6.0%
e 84
 
5.8%
k 78
 
5.4%
M 75
 
5.2%
a 68
 
4.7%
i 61
 
4.2%
K 53
 
3.7%
n 48
 
3.3%
Other values (38) 611
42.1%
Common
ValueCountFrequency (%)
812
60.7%
: 132
 
9.9%
1 93
 
7.0%
2 89
 
6.7%
& 32
 
2.4%
] 26
 
1.9%
[ 26
 
1.9%
) 19
 
1.4%
( 19
 
1.4%
· 13
 
1.0%
Other values (16) 76
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 46925
93.1%
ASCII 2772
 
5.5%
CJK 699
 
1.4%
None 17
 
< 0.1%
CJK Compat Ideographs 4
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 1905
 
4.1%
인 1411
 
3.0%
시 1326
 
2.8%
구 1243
 
2.6%
천 1240
 
2.6%
광 1023
 
2.2%
역 1013
 
2.2%
스 1000
 
2.1%
원 938
 
2.0%
문 921
 
2.0%
Other values (617) 34905
74.4%
ASCII
ValueCountFrequency (%)
812
29.3%
o 169
 
6.1%
: 132
 
4.8%
B 118
 
4.3%
1 93
 
3.4%
2 89
 
3.2%
s 87
 
3.1%
e 84
 
3.0%
k 78
 
2.8%
M 75
 
2.7%
Other values (62) 1035
37.3%
CJK
ValueCountFrequency (%)
社 78
 
11.2%
院 26
 
3.7%
文 26
 
3.7%
究 25
 
3.6%
硏 25
 
3.6%
英 22
 
3.1%
政 22
 
3.1%
博 19
 
2.7%
經 19
 
2.7%
地 18
 
2.6%
Other values (131) 419
59.9%
None
ValueCountFrequency (%)
· 13
76.5%
＆ 4
 
23.5%
CJK Compat Ideographs
ValueCountFrequency (%)
旅 1
25.0%
率 1
25.0%
金 1
25.0%
蘆 1
25.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%

발행년도
Categorical

HIGH CORRELATION 

Distinct45
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2008
1463 
2009
801 
2010
726 
2007
701 
2011
595 
Other values (40)
5714 

Length

Max length5
Median length4
Mean length4.004
Min length4

Unique

Unique3 ?
Unique (%)< 0.1%

Sample

1st row2005
2nd row2007
3rd row2008
4th row2016
5th row2010

Common Values

ValueCountFrequency (%)
2008 1463
 
14.6%
2009 801
 
8.0%
2010 726
 
7.3%
2007 701
 
7.0%
2011 595
 
5.9%
2012 566
 
5.7%
2013 532
 
5.3%
2006 326
 
3.3%
1995 324
 
3.2%
2015 299
 
3.0%
Other values (35) 3667
36.7%

Length

2023-12-12T23:16:30.816569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2008 1463
 
14.6%
2009 801
 
8.0%
2010 726
 
7.3%
2007 701
 
7.0%
2011 595
 
5.9%
2012 566
 
5.7%
2013 532
 
5.3%
2006 326
 
3.3%
1995 324
 
3.2%
2015 299
 
3.0%
Other values (35) 3667
36.7%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2023-08-01 00:00:00
Maximum2023-08-01 00:00:00
2023-12-12T23:16:30.944513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:16:31.059103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T23:16:27.024134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T23:16:31.128014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호발행년도
번호1.0000.991
발행년도0.9911.000
2023-12-12T23:16:31.212119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호발행년도
번호1.0000.904
발행년도0.9041.000

Missing values

2023-12-12T23:16:27.207484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T23:16:27.347210image/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

번호도서명저자출판사발행년도데이터기준일자
69666967국가를 당사자로 하는 계약에 관한 법령의 조달청 해석기준 : 2005.6.30조달청 [편]조달청20052023-08-01
85058506관보 . 16586행정자치부 [편]행정자치부20072023-08-01
1306513066정신건강론이영실;이윤로창지사20082023-08-01
2424024241내 입에서 개가 튀어나올 때브라이언 코나한 글;김인경 옮김책과콩나무20162023-08-01
1740017401한국의창-인명록-김승태동아일보사20102023-08-01
1912919130책은 도끼다 : 박웅현 인문학 강독회박웅현북하우스:북하우스 퍼블리셔스20112023-08-01
1770017701아뿔사, 난 성공하고 말았다김어준 [외] ;김창남 엮음학이시습20102023-08-01
1357913580집에서 하는 근육운동 15분이신언;김종신 [공]삼호미디어20082023-08-01
32113212(분단50년)북한을가다. 1, 평양한국문원편집실엮음한국문원19952023-08-01
90779078루나파크홍인혜애니북스20072023-08-01
번호도서명저자출판사발행년도데이터기준일자
23717237180~48개월 꼭 읽어줘야 할 그림책김희정Seedpaper20152023-08-01
2387023871천국의 문 외 5편김경욱 외문학사상20162023-08-01
2444624447연기처럼 사라진 남자마이 셰발;페르 발뢰 [공];김명남 옮김엘릭시르,20172023-08-01
1899718998저주받은 피아날두르 인드리다손 ;전주현 옮김영림카디널20112023-08-01
2190221903헬로우 웨딩 = Hello wedding : 백묘 장편소설. 1백묘드림북스20132023-08-01
46034604좋은생각. 통권104호좋은생각사 [편]좋은생각사20002023-08-01
1967319674(제 209회) 회의록 . 54-14인천중구의회 [편]인천광역시중구의회20122023-08-01
1963919640구보 . 519인천광역시 중구 [편]인천광역시 중구20122023-08-01
1528015281朴正熙 : 한 근대화 혁명가의 비장한 생애. 1 : 軍人의 길趙甲濟조갑제닷컴20092023-08-01
1191911920(누구나 일주일 안에)피아노 죽이게 치는 방법전지한에듀박스20082023-08-01