Overview

Dataset statistics

Number of variables5
Number of observations10000
Missing cells35
Missing cells (%)0.1%
Duplicate rows699
Duplicate rows (%)7.0%
Total size in memory468.8 KiB
Average record size in memory48.0 B

Variable types

Text4
Categorical1

Dataset

Description대구광역시 중구 교양정보실 도서목록입니다 (도서명, 저자, 출판사 등의 정보를 제공합니다.)
Author대구광역시 중구
URLhttps://www.data.go.kr/data/15054147/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
Dataset has 699 (7.0%) duplicate rowsDuplicates

Reproduction

Analysis started2023-12-11 23:52:34.789570
Analysis finished2023-12-11 23:52:36.672051
Duration1.88 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

도서명
Text

Distinct9008
Distinct (%)90.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T08:52:36.838661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length47
Mean length13.3404
Min length1

Characters and Unicode

Total characters133404
Distinct characters1506
Distinct categories13 ?
Distinct scripts6 ?
Distinct blocks13 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8228 ?
Unique (%)82.3%

Sample

1st row명품도시를 만드는 열정
2nd row쥬라기공원.2
3rd row허와 실의 인간학 (지략편)
4th row곰스크로 가는 기차
5th row서울을 디자인한다
ValueCountFrequency (%)
1 205
 
0.7%
2 199
 
0.7%
이야기 159
 
0.5%
내 118
 
0.4%
중구 103
 
0.3%
나는 87
 
0.3%
3 85
 
0.3%
위한 82
 
0.3%
우리 73
 
0.2%
대구 73
 
0.2%
Other values (15088) 28932
96.1%
2023-12-12T08:52:37.214428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
20140
 
15.1%
의 2764
 
2.1%
) 2744
 
2.1%
( 2739
 
2.1%
이 2174
 
1.6%
. 2120
 
1.6%
0 2059
 
1.5%
1 1976
 
1.5%
2 1946
 
1.5%
사 1853
 
1.4%
Other values (1496) 92889
69.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 92726
69.5%
Space Separator 20140
 
15.1%
Decimal Number 9426
 
7.1%
Close Punctuation 3233
 
2.4%
Open Punctuation 3229
 
2.4%
Other Punctuation 2890
 
2.2%
Uppercase Letter 847
 
0.6%
Lowercase Letter 602
 
0.5%
Dash Punctuation 216
 
0.2%
Math Symbol 66
 
< 0.1%
Other values (3) 29
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 2764
 
3.0%
이 2174
 
2.3%
사 1853
 
2.0%
는 1480
 
1.6%
기 1464
 
1.6%
지 1287
 
1.4%
다 1186
 
1.3%
대 1166
 
1.3%
리 1111
 
1.2%
한 1091
 
1.2%
Other values (1398) 77150
83.2%
Uppercase Letter
ValueCountFrequency (%)
O 73
 
8.6%
E 62
 
7.3%
S 61
 
7.2%
R 59
 
7.0%
A 59
 
7.0%
B 56
 
6.6%
I 56
 
6.6%
N 54
 
6.4%
T 44
 
5.2%
C 31
 
3.7%
Other values (16) 292
34.5%
Lowercase Letter
ValueCountFrequency (%)
e 79
13.1%
o 61
 
10.1%
a 42
 
7.0%
r 42
 
7.0%
n 39
 
6.5%
i 37
 
6.1%
t 36
 
6.0%
h 33
 
5.5%
l 33
 
5.5%
y 31
 
5.1%
Other values (14) 169
28.1%
Other Punctuation
ValueCountFrequency (%)
. 2120
73.4%
/ 182
 
6.3%
; 157
 
5.4%
: 105
 
3.6%
? 95
 
3.3%
! 90
 
3.1%
· 77
 
2.7%
' 24
 
0.8%
, 20
 
0.7%
& 9
 
0.3%
Other values (6) 11
 
0.4%
Decimal Number
ValueCountFrequency (%)
0 2059
21.8%
1 1976
21.0%
2 1946
20.6%
9 743
 
7.9%
3 712
 
7.6%
5 522
 
5.5%
4 521
 
5.5%
6 349
 
3.7%
7 300
 
3.2%
8 298
 
3.2%
Math Symbol
ValueCountFrequency (%)
~ 44
66.7%
+ 15
 
22.7%
= 3
 
4.5%
∼ 2
 
3.0%
> 1
 
1.5%
< 1
 
1.5%
Letter Number
ValueCountFrequency (%)
Ⅰ 11
42.3%
Ⅱ 7
26.9%
Ⅳ 4
 
15.4%
Ⅲ 3
 
11.5%
Ⅶ 1
 
3.8%
Close Punctuation
ValueCountFrequency (%)
) 2744
84.9%
] 488
 
15.1%
』 1
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 2739
84.8%
[ 489
 
15.1%
『 1
 
< 0.1%
Other Symbol
ValueCountFrequency (%)
ⓔ 1
50.0%
℃ 1
50.0%
Space Separator
ValueCountFrequency (%)
20140
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 216
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 92147
69.1%
Common 39203
29.4%
Latin 1475
 
1.1%
Han 574
 
0.4%
Katakana 4
 
< 0.1%
Hiragana 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 2764
 
3.0%
이 2174
 
2.4%
사 1853
 
2.0%
는 1480
 
1.6%
기 1464
 
1.6%
지 1287
 
1.4%
다 1186
 
1.3%
대 1166
 
1.3%
리 1111
 
1.2%
한 1091
 
1.2%
Other values (1148) 76571
83.1%
Han
ValueCountFrequency (%)
大 19
 
3.3%
子 17
 
3.0%
書 13
 
2.3%
四 12
 
2.1%
集 11
 
1.9%
東 8
 
1.4%
詩 8
 
1.4%
說 8
 
1.4%
名 8
 
1.4%
法 7
 
1.2%
Other values (235) 463
80.7%
Latin
ValueCountFrequency (%)
e 79
 
5.4%
O 73
 
4.9%
E 62
 
4.2%
S 61
 
4.1%
o 61
 
4.1%
R 59
 
4.0%
A 59
 
4.0%
B 56
 
3.8%
I 56
 
3.8%
N 54
 
3.7%
Other values (45) 855
58.0%
Common
ValueCountFrequency (%)
20140
51.4%
) 2744
 
7.0%
( 2739
 
7.0%
. 2120
 
5.4%
0 2059
 
5.3%
1 1976
 
5.0%
2 1946
 
5.0%
9 743
 
1.9%
3 712
 
1.8%
5 522
 
1.3%
Other values (33) 3502
 
8.9%
Katakana
ValueCountFrequency (%)
ク 1
25.0%
モ 1
25.0%
ル 1
25.0%
コ 1
25.0%
Hiragana
ValueCountFrequency (%)
の 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 92141
69.1%
ASCII 40562
30.4%
CJK 554
 
0.4%
None 84
 
0.1%
Number Forms 26
 
< 0.1%
CJK Compat Ideographs 20
 
< 0.1%
Compat Jamo 6
 
< 0.1%
Katakana 4
 
< 0.1%
Punctuation 2
 
< 0.1%
Math Operators 2
 
< 0.1%
Other values (3) 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
20140
49.7%
) 2744
 
6.8%
( 2739
 
6.8%
. 2120
 
5.2%
0 2059
 
5.1%
1 1976
 
4.9%
2 1946
 
4.8%
9 743
 
1.8%
3 712
 
1.8%
5 522
 
1.3%
Other values (73) 4861
 
12.0%
Hangul
ValueCountFrequency (%)
의 2764
 
3.0%
이 2174
 
2.4%
사 1853
 
2.0%
는 1480
 
1.6%
기 1464
 
1.6%
지 1287
 
1.4%
다 1186
 
1.3%
대 1166
 
1.3%
리 1111
 
1.2%
한 1091
 
1.2%
Other values (1142) 76565
83.1%
None
ValueCountFrequency (%)
· 77
91.7%
！ 3
 
3.6%
。 1
 
1.2%
『 1
 
1.2%
』 1
 
1.2%
＆ 1
 
1.2%
CJK
ValueCountFrequency (%)
大 19
 
3.4%
子 17
 
3.1%
書 13
 
2.3%
四 12
 
2.2%
集 11
 
2.0%
東 8
 
1.4%
詩 8
 
1.4%
說 8
 
1.4%
名 8
 
1.4%
法 7
 
1.3%
Other values (223) 443
80.0%
Number Forms
ValueCountFrequency (%)
Ⅰ 11
42.3%
Ⅱ 7
26.9%
Ⅳ 4
 
15.4%
Ⅲ 3
 
11.5%
Ⅶ 1
 
3.8%
CJK Compat Ideographs
ValueCountFrequency (%)
女 6
30.0%
李 3
15.0%
金 2
 
10.0%
裸 1
 
5.0%
滑 1
 
5.0%
靈 1
 
5.0%
戀 1
 
5.0%
龜 1
 
5.0%
龍 1
 
5.0%
療 1
 
5.0%
Other values (2) 2
 
10.0%
Punctuation
ValueCountFrequency (%)
… 2
100.0%
Math Operators
ValueCountFrequency (%)
∼ 2
100.0%
Compat Jamo
ValueCountFrequency (%)
ㄷ 1
16.7%
ㄱ 1
16.7%
ㄴ 1
16.7%
ㅇ 1
16.7%
ㅍ 1
16.7%
ㆍ 1
16.7%
Enclosed Alphanum
ValueCountFrequency (%)
ⓔ 1
100.0%
Letterlike Symbols
ValueCountFrequency (%)
℃ 1
100.0%
Katakana
ValueCountFrequency (%)
ク 1
25.0%
モ 1
25.0%
ル 1
25.0%
コ 1
25.0%
Hiragana
ValueCountFrequency (%)
の 1
100.0%

저자
Text

Distinct6440
Distinct (%)64.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T08:52:37.489290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length73
Median length66
Mean length9.1001
Min length2

Characters and Unicode

Total characters91001
Distinct characters951
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5040 ?
Unique (%)50.4%

Sample

1st row박문하
2nd row마이클 크리튼 지음; 정영목 옮김
3rd row이병주 편저
4th row프리츠 오르트만 지음
5th row권영걸
ValueCountFrequency (%)
지음 4479
 
17.4%
옮김 1493
 
5.8%
편 1238
 
4.8%
549
 
2.1%
그림 354
 
1.4%
엮음 322
 
1.2%
저 309
 
1.2%
대구광역시 265
 
1.0%
외 249
 
1.0%
글 194
 
0.8%
Other values (7964) 16358
63.4%
2023-12-12T08:52:37.921554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
15889
 
17.5%
지 5319
 
5.8%
음 5246
 
5.8%
김 3051
 
3.4%
; 2818
 
3.1%
이 1912
 
2.1%
편 1703
 
1.9%
옮 1527
 
1.7%
구 1319
 
1.4%
정 1033
 
1.1%
Other values (941) 51184
56.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 70289
77.2%
Space Separator 15889
 
17.5%
Other Punctuation 3448
 
3.8%
Uppercase Letter 462
 
0.5%
Lowercase Letter 272
 
0.3%
Close Punctuation 211
 
0.2%
Open Punctuation 210
 
0.2%
Decimal Number 168
 
0.2%
Dash Punctuation 41
 
< 0.1%
Math Symbol 10
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 5319
 
7.6%
음 5246
 
7.5%
김 3051
 
4.3%
이 1912
 
2.7%
편 1703
 
2.4%
옮 1527
 
2.2%
구 1319
 
1.9%
정 1033
 
1.5%
시 974
 
1.4%
스 825
 
1.2%
Other values (863) 47380
67.4%
Uppercase Letter
ValueCountFrequency (%)
S 49
 
10.6%
B 38
 
8.2%
R 36
 
7.8%
M 34
 
7.4%
K 31
 
6.7%
A 30
 
6.5%
C 30
 
6.5%
J 29
 
6.3%
E 25
 
5.4%
H 21
 
4.5%
Other values (14) 139
30.1%
Lowercase Letter
ValueCountFrequency (%)
a 26
 
9.6%
n 26
 
9.6%
i 25
 
9.2%
e 23
 
8.5%
o 22
 
8.1%
t 19
 
7.0%
r 16
 
5.9%
s 15
 
5.5%
m 13
 
4.8%
l 13
 
4.8%
Other values (13) 74
27.2%
Other Punctuation
ValueCountFrequency (%)
; 2818
81.7%
. 561
 
16.3%
· 38
 
1.1%
& 9
 
0.3%
, 7
 
0.2%
: 7
 
0.2%
/ 5
 
0.1%
… 1
 
< 0.1%
＆ 1
 
< 0.1%
／ 1
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
1 34
20.2%
2 32
19.0%
0 28
16.7%
5 25
14.9%
8 19
11.3%
3 12
 
7.1%
6 8
 
4.8%
4 6
 
3.6%
7 3
 
1.8%
9 1
 
0.6%
Close Punctuation
ValueCountFrequency (%)
] 195
92.4%
) 15
 
7.1%
〉 1
 
0.5%
Open Punctuation
ValueCountFrequency (%)
[ 195
92.9%
( 14
 
6.7%
〈 1
 
0.5%
Math Symbol
ValueCountFrequency (%)
< 5
50.0%
> 5
50.0%
Space Separator
ValueCountFrequency (%)
15889
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 41
100.0%
Other Symbol
ValueCountFrequency (%)
ⓔ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 70186
77.1%
Common 19978
 
22.0%
Latin 734
 
0.8%
Han 103
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 5319
 
7.6%
음 5246
 
7.5%
김 3051
 
4.3%
이 1912
 
2.7%
편 1703
 
2.4%
옮 1527
 
2.2%
구 1319
 
1.9%
정 1033
 
1.5%
시 974
 
1.4%
스 825
 
1.2%
Other values (784) 47277
67.4%
Han
ValueCountFrequency (%)
著 6
 
5.8%
會 4
 
3.9%
編 4
 
3.9%
博 3
 
2.9%
纂 2
 
1.9%
美 2
 
1.9%
委 2
 
1.9%
學 2
 
1.9%
外 2
 
1.9%
員 2
 
1.9%
Other values (69) 74
71.8%
Latin
ValueCountFrequency (%)
S 49
 
6.7%
B 38
 
5.2%
R 36
 
4.9%
M 34
 
4.6%
K 31
 
4.2%
A 30
 
4.1%
C 30
 
4.1%
J 29
 
4.0%
a 26
 
3.5%
n 26
 
3.5%
Other values (37) 405
55.2%
Common
ValueCountFrequency (%)
15889
79.5%
; 2818
 
14.1%
. 561
 
2.8%
] 195
 
1.0%
[ 195
 
1.0%
- 41
 
0.2%
· 38
 
0.2%
1 34
 
0.2%
2 32
 
0.2%
0 28
 
0.1%
Other values (21) 147
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 70186
77.1%
ASCII 20668
 
22.7%
CJK 99
 
0.1%
None 42
 
< 0.1%
CJK Compat Ideographs 4
 
< 0.1%
Enclosed Alphanum 1
 
< 0.1%
Punctuation 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
15889
76.9%
; 2818
 
13.6%
. 561
 
2.7%
] 195
 
0.9%
[ 195
 
0.9%
S 49
 
0.2%
- 41
 
0.2%
B 38
 
0.2%
R 36
 
0.2%
M 34
 
0.2%
Other values (61) 812
 
3.9%
Hangul
ValueCountFrequency (%)
지 5319
 
7.6%
음 5246
 
7.5%
김 3051
 
4.3%
이 1912
 
2.7%
편 1703
 
2.4%
옮 1527
 
2.2%
구 1319
 
1.9%
정 1033
 
1.5%
시 974
 
1.4%
스 825
 
1.2%
Other values (784) 47277
67.4%
None
ValueCountFrequency (%)
· 38
90.5%
＆ 1
 
2.4%
〈 1
 
2.4%
／ 1
 
2.4%
〉 1
 
2.4%
CJK
ValueCountFrequency (%)
著 6
 
6.1%
會 4
 
4.0%
編 4
 
4.0%
博 3
 
3.0%
纂 2
 
2.0%
美 2
 
2.0%
委 2
 
2.0%
學 2
 
2.0%
外 2
 
2.0%
員 2
 
2.0%
Other values (65) 70
70.7%
CJK Compat Ideographs
ValueCountFrequency (%)
柳 1
25.0%
李 1
25.0%
林 1
25.0%
綾 1
25.0%
Enclosed Alphanum
ValueCountFrequency (%)
ⓔ 1
100.0%
Punctuation
ValueCountFrequency (%)
… 1
100.0%

출판사
Text

Distinct3139
Distinct (%)31.4%
Missing7
Missing (%)0.1%
Memory size156.2 KiB
2023-12-12T08:52:38.383276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length25
Mean length5.0847593
Min length1

Characters and Unicode

Total characters50812
Distinct characters777
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1732 ?
Unique (%)17.3%

Sample

1st row단풍나무
2nd row김영사
3rd row중앙미디어
4th row북인더갭
5th row디자인하우스
ValueCountFrequency (%)
대구광역시 361
 
3.2%
중구 138
 
1.2%
중구청 128
 
1.1%
문학동네 111
 
1.0%
통계청 109
 
1.0%
김영사 96
 
0.9%
한길사 81
 
0.7%
한국지방행정연구원 80
 
0.7%
고려원 71
 
0.6%
도서출판 70
 
0.6%
Other values (3110) 9889
88.8%
2023-12-12T08:52:38.788727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 2807
 
5.5%
구 1490
 
2.9%
판 1470
 
2.9%
출 1470
 
2.9%
문 1289
 
2.5%
1236
 
2.4%
시 1045
 
2.1%
대 998
 
2.0%
서 798
 
1.6%
원 779
 
1.5%
Other values (767) 37430
73.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 46796
92.1%
Space Separator 1236
 
2.4%
Close Punctuation 720
 
1.4%
Open Punctuation 720
 
1.4%
Lowercase Letter 453
 
0.9%
Uppercase Letter 347
 
0.7%
Decimal Number 284
 
0.6%
Other Punctuation 222
 
0.4%
Dash Punctuation 33
 
0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 2807
 
6.0%
구 1490
 
3.2%
판 1470
 
3.1%
출 1470
 
3.1%
문 1289
 
2.8%
시 1045
 
2.2%
대 998
 
2.1%
서 798
 
1.7%
원 779
 
1.7%
스 776
 
1.7%
Other values (691) 33874
72.4%
Uppercase Letter
ValueCountFrequency (%)
B 70
20.2%
K 34
9.8%
H 33
9.5%
O 25
 
7.2%
S 23
 
6.6%
R 22
 
6.3%
M 22
 
6.3%
P 15
 
4.3%
C 15
 
4.3%
G 14
 
4.0%
Other values (16) 74
21.3%
Lowercase Letter
ValueCountFrequency (%)
o 89
19.6%
s 44
9.7%
n 34
 
7.5%
i 34
 
7.5%
k 33
 
7.3%
e 33
 
7.3%
b 26
 
5.7%
a 26
 
5.7%
m 23
 
5.1%
r 20
 
4.4%
Other values (12) 91
20.1%
Other Punctuation
ValueCountFrequency (%)
. 125
56.3%
: 31
 
14.0%
& 23
 
10.4%
/ 22
 
9.9%
· 7
 
3.2%
; 5
 
2.3%
＆ 4
 
1.8%
? 2
 
0.9%
! 1
 
0.5%
@ 1
 
0.5%
Decimal Number
ValueCountFrequency (%)
1 88
31.0%
2 77
27.1%
0 32
 
11.3%
8 24
 
8.5%
5 18
 
6.3%
3 14
 
4.9%
9 9
 
3.2%
4 9
 
3.2%
6 7
 
2.5%
7 6
 
2.1%
Close Punctuation
ValueCountFrequency (%)
) 703
97.6%
] 17
 
2.4%
Open Punctuation
ValueCountFrequency (%)
( 703
97.6%
[ 17
 
2.4%
Space Separator
ValueCountFrequency (%)
1236
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 33
100.0%
Other Symbol
ValueCountFrequency (%)
▶ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 46438
91.4%
Common 3216
 
6.3%
Latin 800
 
1.6%
Han 358
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 2807
 
6.0%
구 1490
 
3.2%
판 1470
 
3.2%
출 1470
 
3.2%
문 1289
 
2.8%
시 1045
 
2.3%
대 998
 
2.1%
서 798
 
1.7%
원 779
 
1.7%
스 776
 
1.7%
Other values (591) 33516
72.2%
Han
ValueCountFrequency (%)
社 55
 
15.4%
文 36
 
10.1%
出 30
 
8.4%
版 29
 
8.1%
徽 12
 
3.4%
學 11
 
3.1%
徹 9
 
2.5%
日 7
 
2.0%
報 6
 
1.7%
國 6
 
1.7%
Other values (90) 157
43.9%
Latin
ValueCountFrequency (%)
o 89
 
11.1%
B 70
 
8.8%
s 44
 
5.5%
n 34
 
4.2%
K 34
 
4.2%
i 34
 
4.2%
k 33
 
4.1%
H 33
 
4.1%
e 33
 
4.1%
b 26
 
3.2%
Other values (38) 370
46.2%
Common
ValueCountFrequency (%)
1236
38.4%
) 703
21.9%
( 703
21.9%
. 125
 
3.9%
1 88
 
2.7%
2 77
 
2.4%
- 33
 
1.0%
0 32
 
1.0%
: 31
 
1.0%
8 24
 
0.7%
Other values (18) 164
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 46432
91.4%
ASCII 4004
 
7.9%
CJK 357
 
0.7%
None 11
 
< 0.1%
Compat Jamo 6
 
< 0.1%
Geometric Shapes 1
 
< 0.1%
CJK Compat Ideographs 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 2807
 
6.0%
구 1490
 
3.2%
판 1470
 
3.2%
출 1470
 
3.2%
문 1289
 
2.8%
시 1045
 
2.3%
대 998
 
2.1%
서 798
 
1.7%
원 779
 
1.7%
스 776
 
1.7%
Other values (586) 33510
72.2%
ASCII
ValueCountFrequency (%)
1236
30.9%
) 703
17.6%
( 703
17.6%
. 125
 
3.1%
o 89
 
2.2%
1 88
 
2.2%
2 77
 
1.9%
B 70
 
1.7%
s 44
 
1.1%
n 34
 
0.8%
Other values (63) 835
20.9%
CJK
ValueCountFrequency (%)
社 55
 
15.4%
文 36
 
10.1%
出 30
 
8.4%
版 29
 
8.1%
徽 12
 
3.4%
學 11
 
3.1%
徹 9
 
2.5%
日 7
 
2.0%
報 6
 
1.7%
國 6
 
1.7%
Other values (89) 156
43.7%
None
ValueCountFrequency (%)
· 7
63.6%
＆ 4
36.4%
Compat Jamo
ValueCountFrequency (%)
ㄴ 2
33.3%
ㅊ 1
16.7%
ㅁ 1
16.7%
ㄱ 1
16.7%
ㅇ 1
16.7%
Geometric Shapes
ValueCountFrequency (%)
▶ 1
100.0%
CJK Compat Ideographs
ValueCountFrequency (%)
女 1
100.0%

발행연도
Text

Distinct57
Distinct (%)0.6%
Missing28
Missing (%)0.3%
Memory size156.2 KiB
2023-12-12T08:52:39.002728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length4
Mean length4.0020056
Min length4

Characters and Unicode

Total characters39908
Distinct characters14
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10 ?
Unique (%)0.1%

Sample

1st row2008
2nd row1992
3rd row1992
4th row2010
5th row2010
ValueCountFrequency (%)
1992 1051
 
10.5%
1994 619
 
6.2%
1993 545
 
5.5%
2010 505
 
5.1%
2011 436
 
4.4%
2013 434
 
4.4%
1991 433
 
4.3%
2012 425
 
4.3%
1995 414
 
4.2%
2009 375
 
3.8%
Other values (48) 4737
47.5%
2023-12-12T08:52:39.358202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9 9346
23.4%
0 8809
22.1%
1 8533
21.4%
2 7166
18.0%
3 1279
 
3.2%
4 1217
 
3.0%
8 1049
 
2.6%
5 923
 
2.3%
6 822
 
2.1%
7 756
 
1.9%
Other values (4) 8
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 39900
> 99.9%
Open Punctuation 2
 
< 0.1%
Space Separator 2
 
< 0.1%
Other Letter 2
 
< 0.1%
Close Punctuation 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
9 9346
23.4%
0 8809
22.1%
1 8533
21.4%
2 7166
18.0%
3 1279
 
3.2%
4 1217
 
3.1%
8 1049
 
2.6%
5 923
 
2.3%
6 822
 
2.1%
7 756
 
1.9%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%
Other Letter
ValueCountFrequency (%)
쇄 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 39906
> 99.9%
Hangul 2
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
9 9346
23.4%
0 8809
22.1%
1 8533
21.4%
2 7166
18.0%
3 1279
 
3.2%
4 1217
 
3.0%
8 1049
 
2.6%
5 923
 
2.3%
6 822
 
2.1%
7 756
 
1.9%
Other values (3) 6
 
< 0.1%
Hangul
ValueCountFrequency (%)
쇄 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 39906
> 99.9%
Hangul 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9 9346
23.4%
0 8809
22.1%
1 8533
21.4%
2 7166
18.0%
3 1279
 
3.2%
4 1217
 
3.0%
8 1049
 
2.6%
5 923
 
2.3%
6 822
 
2.1%
7 756
 
1.9%
Other values (3) 6
 
< 0.1%
Hangul
ValueCountFrequency (%)
쇄 2
100.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2020-10-13
10000 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2020-10-13
2nd row2020-10-13
3rd row2020-10-13
4th row2020-10-13
5th row2020-10-13

Common Values

ValueCountFrequency (%)
2020-10-13 10000
100.0%

Length

2023-12-12T08:52:39.523547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:52:39.641481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2020-10-13 10000
100.0%

Missing values

2023-12-12T08:52:36.402460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T08:52:36.505477image/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.
2023-12-12T08:52:36.613103image/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

도서명저자출판사발행연도데이터기준일자
5579명품도시를 만드는 열정박문하단풍나무20082020-10-13
14117쥬라기공원.2마이클 크리튼 지음; 정영목 옮김김영사19922020-10-13
12844허와 실의 인간학 (지략편)이병주 편저중앙미디어19922020-10-13
5026곰스크로 가는 기차프리츠 오르트만 지음북인더갭20102020-10-13
4834서울을 디자인한다권영걸디자인하우스20102020-10-13
9626(2005년도)대구경북지역 경제연보한국은행 대구경북본부 편한국은행 대구경북본부20062020-10-13
16538부적.3스테판 킹; 피터 스트로브 공저; 정성호 옮김밝은세상19922020-10-13
5008광고천재 이제석이제석 지음학고재20112020-10-13
14490인샬라.하권현숙 지음한겨레신문사19952020-10-13
2563누구보다 축구전문가가 되고싶다시미즈 히데토 지음브레인스토어20142020-10-13
도서명저자출판사발행연도데이터기준일자
11305술.2; 한국의 술문화이상희 지음선20092020-10-13
18532(THANK YOU POWER 0.3초의 기적)감사의 힘데보라 노빌 지음; 김용남 옮김;위드덤하우스20092020-10-13
18249그래서 그들은 바다로 갔다 2그리샴 존; 공경희 옮김 ;시공사19922020-10-13
8001(지방행정혁신 표준매뉴얼)백100% 이해하기대구광역시 편대구광역시<NA>2020-10-13
11759회상헤르만 헤세 지음; 공병억 옮김상아19882020-10-13
12649행정정보체계론하미승 저법문사19992020-10-13
4489몸에 밴 어린 시절W. 휴 미실다인 지음 ;이석규;이종범 옮김가톨릭출판사20112020-10-13
17451대망. 18[죽이지 않는 검]야마오까 소하찌 지음;박재희 옮김중앙19982020-10-13
3049[2012년도] 지역발전계획에 관한 연차보고서지역발전위원회지역발전위원회 지식경제부20132020-10-13
9190(이원복 교수의) 와인의 세계. 세계의 와인이원복 지음김영사20082020-10-13

Duplicate rows

Most frequently occurring

도서명저자출판사발행연도데이터기준일자# duplicates
42(비평과 소통의 10년)삼촌설설정수 서동훈 지음경북일보20082020-10-1314
566임꺽정이두호 지음프레스빌19952020-10-1310
372사랑이 어떻더니문무학학이사20112020-10-135
454아침을 열어주는 3분의 지혜용혜원 지음평단문화사20102020-10-135
35(모든 직장인의 로망)좋아하는 일 하면서 먹고살기양병무 지음비전과리더십20092020-10-134
43(사랑의 테마 장편 옴니버스 소설시리즈 1) 금잔화경요 지음; 김은신 옮김홍익출판사19922020-10-134
51(세계는 지금 새로운 리더를 요구한다)리더스 웨이달라이 라마. 라우렌스 판 덴 마위젠베르흐 지음 ; 김승욱 옮김문학동네20092020-10-134
54(소설)강태공.대채치 지음;김택원 평역;혜서원19912020-10-134
98(이오덕 생활이야기)울면서 하는 숙제이오덕 지음산하19902020-10-134
135Next 민주주의 3.0코리아매니페스토한국매니페스토실천본부20132020-10-134