Overview

Dataset statistics

Number of variables4
Number of observations10000
Missing cells15
Missing cells (%)< 0.1%
Duplicate rows263
Duplicate rows (%)2.6%
Total size in memory400.4 KiB
Average record size in memory41.0 B

Variable types

Text2
Categorical2

Dataset

Description농식품공무원교육원 집합교육 교육생 및 직원을 위해 대여하고 있는 농식품분야 및 다양한 분야 등 소장하고 있는 도서목록
Author농림축산식품부 농식품공무원교육원
URLhttps://www.data.go.kr/data/15025405/fileData.do

Alerts

Dataset has 263 (2.6%) duplicate rowsDuplicates
Unnamed: 3 is highly imbalanced (99.7%)Imbalance

Reproduction

Analysis started2023-12-12 06:16:14.360456
Analysis finished2023-12-12 06:16:16.147767
Duration1.79 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

도서명
Text

Distinct9590
Distinct (%)95.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T15:16:16.431876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length117
Median length94
Mean length25.2678
Min length1

Characters and Unicode

Total characters252678
Distinct characters1892
Distinct categories18 ?
Distinct scripts8 ?
Distinct blocks16 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9254 ?
Unique (%)92.5%

Sample

1st row(DVD) 서치 : searching
2nd row세계유산 4:미국;America=The world heritage
3rd row(새 출제기준에 맞춘) 농업기계 실기 :한권으로 끝내기!
4th row삼국지 4 : 풍운을 만난 용
5th row옥상에서 만나요:정세랑 소설집
ValueCountFrequency (%)
2163
 
3.8%
위한 397
 
0.7%
dvd 318
 
0.6%
이야기 290
 
0.5%
2 265
 
0.5%
1 262
 
0.5%
of 211
 
0.4%
the 204
 
0.4%
및 199
 
0.4%
장편소설 166
 
0.3%
Other values (23003) 51749
92.0%
2023-12-12T15:16:16.997367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
47717
 
18.9%
의 4651
 
1.8%
: 4125
 
1.6%
이 3159
 
1.3%
) 2886
 
1.1%
( 2885
 
1.1%
e 2658
 
1.1%
는 2602
 
1.0%
기 2491
 
1.0%
1 2389
 
0.9%
Other values (1882) 177115
70.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 148489
58.8%
Space Separator 47718
 
18.9%
Lowercase Letter 21531
 
8.5%
Decimal Number 10251
 
4.1%
Other Punctuation 8859
 
3.5%
Uppercase Letter 8027
 
3.2%
Close Punctuation 2916
 
1.2%
Open Punctuation 2915
 
1.2%
Math Symbol 1209
 
0.5%
Dash Punctuation 400
 
0.2%
Other values (8) 363
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 4651
 
3.1%
이 3159
 
2.1%
는 2602
 
1.8%
기 2491
 
1.7%
사 2361
 
1.6%
한 2288
 
1.5%
지 1967
 
1.3%
가 1909
 
1.3%
리 1797
 
1.2%
다 1635
 
1.1%
Other values (1762) 123629
83.3%
Lowercase Letter
ValueCountFrequency (%)
e 2658
12.3%
o 1830
 
8.5%
i 1730
 
8.0%
a 1723
 
8.0%
r 1673
 
7.8%
t 1585
 
7.4%
n 1561
 
7.3%
s 1265
 
5.9%
l 1078
 
5.0%
c 827
 
3.8%
Other values (18) 5601
26.0%
Uppercase Letter
ValueCountFrequency (%)
D 1312
16.3%
T 581
 
7.2%
V 553
 
6.9%
A 547
 
6.8%
E 544
 
6.8%
S 527
 
6.6%
O 439
 
5.5%
C 410
 
5.1%
R 409
 
5.1%
I 357
 
4.4%
Other values (16) 2348
29.3%
Other Punctuation
ValueCountFrequency (%)
: 4125
46.6%
. 1471
 
16.6%
, 1365
 
15.4%
; 942
 
10.6%
! 263
 
3.0%
· 246
 
2.8%
? 134
 
1.5%
/ 124
 
1.4%
& 102
 
1.2%
% 49
 
0.6%
Other values (4) 38
 
0.4%
Decimal Number
ValueCountFrequency (%)
1 2389
23.3%
0 2254
22.0%
2 2171
21.2%
3 788
 
7.7%
5 592
 
5.8%
4 534
 
5.2%
9 476
 
4.6%
7 365
 
3.6%
6 362
 
3.5%
8 320
 
3.1%
Letter Number
ValueCountFrequency (%)
Ⅱ 50
37.9%
Ⅰ 40
30.3%
Ⅲ 21
15.9%
Ⅳ 15
 
11.4%
Ⅴ 4
 
3.0%
ⅴ 1
 
0.8%
Ⅵ 1
 
0.8%
Close Punctuation
ValueCountFrequency (%)
) 2886
99.0%
] 25
 
0.9%
』 2
 
0.1%
》 1
 
< 0.1%
} 1
 
< 0.1%
」 1
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 2885
99.0%
[ 25
 
0.9%
『 2
 
0.1%
《 1
 
< 0.1%
{ 1
 
< 0.1%
「 1
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
= 1025
84.8%
~ 73
 
6.0%
< 46
 
3.8%
> 46
 
3.8%
+ 19
 
1.6%
Other Number
ValueCountFrequency (%)
① 3
50.0%
② 1
 
16.7%
③ 1
 
16.7%
④ 1
 
16.7%
Modifier Symbol
ValueCountFrequency (%)
` 137
64.3%
´ 74
34.7%
˚ 2
 
0.9%
Other Symbol
ValueCountFrequency (%)
│ 5
71.4%
□ 1
 
14.3%
℃ 1
 
14.3%
Space Separator
ValueCountFrequency (%)
47717
> 99.9%
　 1
 
< 0.1%
Dash Punctuation
ValueCountFrequency (%)
- 398
99.5%
― 2
 
0.5%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 1
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 1
100.0%
Nonspacing Mark
ValueCountFrequency (%)
́ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 146176
57.9%
Common 74498
29.5%
Latin 29688
 
11.7%
Han 2273
 
0.9%
Katakana 24
 
< 0.1%
Hiragana 16
 
< 0.1%
Greek 2
 
< 0.1%
Inherited 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 4651
 
3.2%
이 3159
 
2.2%
는 2602
 
1.8%
기 2491
 
1.7%
사 2361
 
1.6%
한 2288
 
1.6%
지 1967
 
1.3%
가 1909
 
1.3%
리 1797
 
1.2%
다 1635
 
1.1%
Other values (1183) 121316
83.0%
Han
ValueCountFrequency (%)
國 58
 
2.6%
家 53
 
2.3%
德 46
 
2.0%
康 45
 
2.0%
川 45
 
2.0%
大 40
 
1.8%
說 40
 
1.8%
小 39
 
1.7%
三 35
 
1.5%
趙 34
 
1.5%
Other values (540) 1838
80.9%
Latin
ValueCountFrequency (%)
e 2658
 
9.0%
o 1830
 
6.2%
i 1730
 
5.8%
a 1723
 
5.8%
r 1673
 
5.6%
t 1585
 
5.3%
n 1561
 
5.3%
D 1312
 
4.4%
s 1265
 
4.3%
l 1078
 
3.6%
Other values (50) 13273
44.7%
Common
ValueCountFrequency (%)
47717
64.1%
: 4125
 
5.5%
) 2886
 
3.9%
( 2885
 
3.9%
1 2389
 
3.2%
0 2254
 
3.0%
2 2171
 
2.9%
. 1471
 
2.0%
, 1365
 
1.8%
= 1025
 
1.4%
Other values (48) 6210
 
8.3%
Katakana
ValueCountFrequency (%)
ス 3
12.5%
テ 2
 
8.3%
フ 2
 
8.3%
ド 2
 
8.3%
ム 2
 
8.3%
リ 2
 
8.3%
ガ 1
 
4.2%
ク 1
 
4.2%
ラ 1
 
4.2%
カ 1
 
4.2%
Other values (7) 7
29.2%
Hiragana
ValueCountFrequency (%)
の 3
18.8%
る 2
12.5%
か 2
12.5%
も 1
 
6.2%
め 1
 
6.2%
よ 1
 
6.2%
そ 1
 
6.2%
ゎ 1
 
6.2%
く 1
 
6.2%
え 1
 
6.2%
Other values (2) 2
12.5%
Greek
ValueCountFrequency (%)
α 2
100.0%
Inherited
ValueCountFrequency (%)
́ 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 146158
57.8%
ASCII 103703
41.0%
CJK 2225
 
0.9%
None 332
 
0.1%
Number Forms 132
 
0.1%
CJK Compat Ideographs 48
 
< 0.1%
Katakana 24
 
< 0.1%
Compat Jamo 18
 
< 0.1%
Hiragana 16
 
< 0.1%
Enclosed Alphanum 6
 
< 0.1%
Other values (6) 16
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
47717
46.0%
: 4125
 
4.0%
) 2886
 
2.8%
( 2885
 
2.8%
e 2658
 
2.6%
1 2389
 
2.3%
0 2254
 
2.2%
2 2171
 
2.1%
o 1830
 
1.8%
i 1730
 
1.7%
Other values (79) 33058
31.9%
Hangul
ValueCountFrequency (%)
의 4651
 
3.2%
이 3159
 
2.2%
는 2602
 
1.8%
기 2491
 
1.7%
사 2361
 
1.6%
한 2288
 
1.6%
지 1967
 
1.3%
가 1909
 
1.3%
리 1797
 
1.2%
다 1635
 
1.1%
Other values (1173) 121298
83.0%
None
ValueCountFrequency (%)
· 246
74.1%
´ 74
 
22.3%
『 2
 
0.6%
』 2
 
0.6%
α 2
 
0.6%
》 1
 
0.3%
《 1
 
0.3%
　 1
 
0.3%
「 1
 
0.3%
ü 1
 
0.3%
CJK
ValueCountFrequency (%)
國 58
 
2.6%
家 53
 
2.4%
德 46
 
2.1%
康 45
 
2.0%
川 45
 
2.0%
大 40
 
1.8%
說 40
 
1.8%
小 39
 
1.8%
三 35
 
1.6%
趙 34
 
1.5%
Other values (519) 1790
80.4%
Number Forms
ValueCountFrequency (%)
Ⅱ 50
37.9%
Ⅰ 40
30.3%
Ⅲ 21
15.9%
Ⅳ 15
 
11.4%
Ⅴ 4
 
3.0%
ⅴ 1
 
0.8%
Ⅵ 1
 
0.8%
CJK Compat Ideographs
ValueCountFrequency (%)
林 11
22.9%
盧 6
12.5%
不 5
10.4%
女 4
 
8.3%
論 2
 
4.2%
落 2
 
4.2%
茶 2
 
4.2%
李 2
 
4.2%
劉 2
 
4.2%
列 1
 
2.1%
Other values (11) 11
22.9%
Compat Jamo
ValueCountFrequency (%)
ㆍ 7
38.9%
ㄱ 2
 
11.1%
ㅁ 2
 
11.1%
ㄷ 1
 
5.6%
ㅎ 1
 
5.6%
ㅈ 1
 
5.6%
ㄹ 1
 
5.6%
ㅂ 1
 
5.6%
ㅇ 1
 
5.6%
ㄴ 1
 
5.6%
Box Drawing
ValueCountFrequency (%)
│ 5
100.0%
Enclosed Alphanum
ValueCountFrequency (%)
① 3
50.0%
② 1
 
16.7%
③ 1
 
16.7%
④ 1
 
16.7%
Katakana
ValueCountFrequency (%)
ス 3
12.5%
テ 2
 
8.3%
フ 2
 
8.3%
ド 2
 
8.3%
ム 2
 
8.3%
リ 2
 
8.3%
ガ 1
 
4.2%
ク 1
 
4.2%
ラ 1
 
4.2%
カ 1
 
4.2%
Other values (7) 7
29.2%
Hiragana
ValueCountFrequency (%)
の 3
18.8%
る 2
12.5%
か 2
12.5%
も 1
 
6.2%
め 1
 
6.2%
よ 1
 
6.2%
そ 1
 
6.2%
ゎ 1
 
6.2%
く 1
 
6.2%
え 1
 
6.2%
Other values (2) 2
12.5%
Punctuation
ValueCountFrequency (%)
… 2
33.3%
― 2
33.3%
‘ 1
16.7%
’ 1
16.7%
Modifier Letters
ValueCountFrequency (%)
˚ 2
100.0%
Geometric Shapes
ValueCountFrequency (%)
□ 1
100.0%
Letterlike Symbols
ValueCountFrequency (%)
℃ 1
100.0%
Diacriticals
ValueCountFrequency (%)
́ 1
100.0%

저자명
Text

Distinct6856
Distinct (%)68.7%
Missing15
Missing (%)0.1%
Memory size156.2 KiB
2023-12-12T15:16:17.336279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length324
Median length220
Mean length12.815523
Min length1

Characters and Unicode

Total characters127963
Distinct characters1176
Distinct categories14 ?
Distinct scripts6 ?
Distinct blocks10 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5863 ?
Unique (%)58.7%

Sample

1st row아니쉬 차간티 [감독]
2nd row유네스코
3rd row조기현 ;백이 공저
4th row황석영, 나관중
5th row지은이: 정세랑
ValueCountFrequency (%)
지음 2544
 
8.8%
옮김 2020
 
7.0%
저 511
 
1.8%
400
 
1.4%
지은이 362
 
1.3%
편 287
 
1.0%
그림 281
 
1.0%
글 243
 
0.8%
공저 183
 
0.6%
한국농촌경제연구원 146
 
0.5%
Other values (10723) 21934
75.9%
2023-12-12T15:16:17.836147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
20060
 
15.7%
; 4796
 
3.7%
지 4420
 
3.5%
김 4369
 
3.4%
음 3564
 
2.8%
이 3211
 
2.5%
, 2907
 
2.3%
옮 2241
 
1.8%
정 1577
 
1.2%
원 1283
 
1.0%
Other values (1166) 79535
62.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 89672
70.1%
Space Separator 20060
 
15.7%
Other Punctuation 9461
 
7.4%
Lowercase Letter 3626
 
2.8%
Uppercase Letter 2830
 
2.2%
Open Punctuation 1061
 
0.8%
Close Punctuation 1060
 
0.8%
Decimal Number 95
 
0.1%
Math Symbol 54
 
< 0.1%
Dash Punctuation 20
 
< 0.1%
Other values (4) 24
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 4420
 
4.9%
김 4369
 
4.9%
음 3564
 
4.0%
이 3211
 
3.6%
옮 2241
 
2.5%
정 1577
 
1.8%
원 1283
 
1.4%
영 1227
 
1.4%
저 1116
 
1.2%
림 1097
 
1.2%
Other values (1075) 65567
73.1%
Lowercase Letter
ValueCountFrequency (%)
a 527
14.5%
i 403
11.1%
e 345
 
9.5%
o 281
 
7.7%
r 219
 
6.0%
s 217
 
6.0%
n 201
 
5.5%
t 196
 
5.4%
u 182
 
5.0%
h 165
 
4.6%
Other values (17) 890
24.5%
Uppercase Letter
ValueCountFrequency (%)
S 396
14.0%
B 368
13.0%
E 267
 
9.4%
A 210
 
7.4%
T 171
 
6.0%
K 160
 
5.7%
O 143
 
5.1%
D 142
 
5.0%
C 135
 
4.8%
R 118
 
4.2%
Other values (15) 720
25.4%
Decimal Number
ValueCountFrequency (%)
0 21
22.1%
2 20
21.1%
1 12
12.6%
6 11
11.6%
5 10
10.5%
4 8
 
8.4%
3 7
 
7.4%
8 2
 
2.1%
7 2
 
2.1%
9 2
 
2.1%
Other Punctuation
ValueCountFrequency (%)
; 4796
50.7%
, 2907
30.7%
. 664
 
7.0%
: 657
 
6.9%
· 397
 
4.2%
& 18
 
0.2%
/ 17
 
0.2%
? 4
 
< 0.1%
# 1
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
[ 963
90.8%
( 96
 
9.0%
〈 1
 
0.1%
『 1
 
0.1%
Close Punctuation
ValueCountFrequency (%)
] 961
90.7%
) 97
 
9.2%
〉 1
 
0.1%
』 1
 
0.1%
Math Symbol
ValueCountFrequency (%)
< 26
48.1%
> 25
46.3%
| 2
 
3.7%
= 1
 
1.9%
Dash Punctuation
ValueCountFrequency (%)
- 19
95.0%
― 1
 
5.0%
Modifier Symbol
ValueCountFrequency (%)
´ 4
66.7%
` 2
33.3%
Space Separator
ValueCountFrequency (%)
20060
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 14
100.0%
Control
ValueCountFrequency (%)
 2
100.0%
Other Symbol
ValueCountFrequency (%)
ⓔ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 88841
69.4%
Common 31835
 
24.9%
Latin 6456
 
5.0%
Han 812
 
0.6%
Hiragana 13
 
< 0.1%
Katakana 6
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 4420
 
5.0%
김 4369
 
4.9%
음 3564
 
4.0%
이 3211
 
3.6%
옮 2241
 
2.5%
정 1577
 
1.8%
원 1283
 
1.4%
영 1227
 
1.4%
저 1116
 
1.3%
림 1097
 
1.2%
Other values (815) 64736
72.9%
Han
ValueCountFrequency (%)
著 101
 
12.4%
趙 36
 
4.4%
來 33
 
4.1%
廷 33
 
4.1%
李 32
 
3.9%
編 21
 
2.6%
共 19
 
2.3%
國 16
 
2.0%
譯 16
 
2.0%
金 13
 
1.6%
Other values (233) 492
60.6%
Latin
ValueCountFrequency (%)
a 527
 
8.2%
i 403
 
6.2%
S 396
 
6.1%
B 368
 
5.7%
e 345
 
5.3%
o 281
 
4.4%
E 267
 
4.1%
r 219
 
3.4%
s 217
 
3.4%
A 210
 
3.3%
Other values (42) 3223
49.9%
Common
ValueCountFrequency (%)
20060
63.0%
; 4796
 
15.1%
, 2907
 
9.1%
[ 963
 
3.0%
] 961
 
3.0%
. 664
 
2.1%
: 657
 
2.1%
· 397
 
1.2%
) 97
 
0.3%
( 96
 
0.3%
Other values (29) 237
 
0.7%
Hiragana
ValueCountFrequency (%)
つ 2
15.4%
お 2
15.4%
み 1
7.7%
き 1
7.7%
ぱ 1
7.7%
く 1
7.7%
え 1
7.7%
る 1
7.7%
げ 1
7.7%
し 1
7.7%
Katakana
ValueCountFrequency (%)
フ 1
16.7%
ド 1
16.7%
ツ 1
16.7%
ス 1
16.7%
テ 1
16.7%
ム 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 88837
69.4%
ASCII 37881
29.6%
CJK 761
 
0.6%
None 407
 
0.3%
CJK Compat Ideographs 51
 
< 0.1%
Hiragana 13
 
< 0.1%
Katakana 6
 
< 0.1%
Compat Jamo 4
 
< 0.1%
Enclosed Alphanum 2
 
< 0.1%
Punctuation 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
20060
53.0%
; 4796
 
12.7%
, 2907
 
7.7%
[ 963
 
2.5%
] 961
 
2.5%
. 664
 
1.8%
: 657
 
1.7%
a 527
 
1.4%
i 403
 
1.1%
S 396
 
1.0%
Other values (71) 5547
 
14.6%
Hangul
ValueCountFrequency (%)
지 4420
 
5.0%
김 4369
 
4.9%
음 3564
 
4.0%
이 3211
 
3.6%
옮 2241
 
2.5%
정 1577
 
1.8%
원 1283
 
1.4%
영 1227
 
1.4%
저 1116
 
1.3%
림 1097
 
1.2%
Other values (814) 64732
72.9%
None
ValueCountFrequency (%)
· 397
97.5%
´ 4
 
1.0%
ä 1
 
0.2%
〉 1
 
0.2%
〈 1
 
0.2%
é 1
 
0.2%
』 1
 
0.2%
『 1
 
0.2%
CJK
ValueCountFrequency (%)
著 101
 
13.3%
趙 36
 
4.7%
來 33
 
4.3%
廷 33
 
4.3%
編 21
 
2.8%
共 19
 
2.5%
國 16
 
2.1%
譯 16
 
2.1%
金 13
 
1.7%
部 11
 
1.4%
Other values (225) 462
60.7%
CJK Compat Ideographs
ValueCountFrequency (%)
李 32
62.7%
烈 12
 
23.5%
龍 2
 
3.9%
寧 1
 
2.0%
沈 1
 
2.0%
列 1
 
2.0%
劉 1
 
2.0%
玲 1
 
2.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 4
100.0%
Hiragana
ValueCountFrequency (%)
つ 2
15.4%
お 2
15.4%
み 1
7.7%
き 1
7.7%
ぱ 1
7.7%
く 1
7.7%
え 1
7.7%
る 1
7.7%
げ 1
7.7%
し 1
7.7%
Enclosed Alphanum
ValueCountFrequency (%)
ⓔ 2
100.0%
Katakana
ValueCountFrequency (%)
フ 1
16.7%
ド 1
16.7%
ツ 1
16.7%
ス 1
16.7%
テ 1
16.7%
ム 1
16.7%
Punctuation
ValueCountFrequency (%)
― 1
100.0%

출판년도
Categorical

Distinct50
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2009
750 
2014
733 
2008
729 
2007
 
635
2006
 
547
Other values (45)
6606 

Length

Max length4
Median length4
Mean length3.9992
Min length2

Unique

Unique13 ?
Unique (%)0.1%

Sample

1st row2018
2nd row2006
3rd row2003
4th row2003
5th row2018

Common Values

ValueCountFrequency (%)
2009 750
 
7.5%
2014 733
 
7.3%
2008 729
 
7.3%
2007 635
 
6.3%
2006 547
 
5.5%
2012 531
 
5.3%
2015 526
 
5.3%
2010 491
 
4.9%
2004 475
 
4.8%
2005 467
 
4.7%
Other values (40) 4116
41.2%

Length

2023-12-12T15:16:18.248984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2009 750
 
7.5%
2014 733
 
7.3%
2008 729
 
7.3%
2007 635
 
6.3%
2006 547
 
5.5%
2012 531
 
5.3%
2015 526
 
5.3%
2010 491
 
4.9%
2004 475
 
4.8%
2005 467
 
4.7%
Other values (40) 4116
41.2%

Unnamed: 3
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9997 
0
 
2
4
 
1

Length

Max length4
Median length4
Mean length3.9991
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 9997
> 99.9%
0 2
 
< 0.1%
4 1
 
< 0.1%

Length

2023-12-12T15:16:18.385057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:16:18.500785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9997
> 99.9%
0 2
 
< 0.1%
4 1
 
< 0.1%

Correlations

2023-12-12T15:16:18.565938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
출판년도Unnamed: 3
출판년도1.000NaN
Unnamed: 3NaN1.000
2023-12-12T15:16:18.663848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Unnamed: 3출판년도
Unnamed: 31.000NaN
출판년도NaN1.000
2023-12-12T15:16:18.770101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
출판년도Unnamed: 3
출판년도1.0000.000
Unnamed: 30.0001.000

Missing values

2023-12-12T15:16:16.017736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T15:16:16.104634image/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

도서명저자명출판년도Unnamed: 3
9815(DVD) 서치 : searching아니쉬 차간티 [감독]2018<NA>
3438세계유산 4:미국;America=The world heritage유네스코2006<NA>
675(새 출제기준에 맞춘) 농업기계 실기 :한권으로 끝내기!조기현 ;백이 공저2003<NA>
5083삼국지 4 : 풍운을 만난 용황석영, 나관중2003<NA>
9579옥상에서 만나요:정세랑 소설집지은이: 정세랑2018<NA>
7173남북정치공동체 형성방안김동수(한국정치평론학회 회장)2015<NA>
4247국립수의과학검역원 100년사 회고록:1909년-2009년 건강 한국, 청정 한국국립수의과학검역원2009<NA>
7654곁에 두고 읽는 니체: 내 인생에 힘이 되어 준 니체의 말사이토 다카시 지음; 이정은 옮김2015<NA>
3629산사의 주련:마음을 찾는 절집여행제운스님;한민 지음2009<NA>
3335이클립스=eclipse스테프니 메이어;윤정숙 옮김2008<NA>
도서명저자명출판년도Unnamed: 3
102설득의 심리학 ;사람의 마음을 사로잡는 6가지 불변의 법칙로버트 치알디니 지음 ;이현우 옮김2002<NA>
3378게임세대 회사를 점령하다:비즈니스 파워의 세대교체존 벡,미첼 웨이드 지음;이은선 옮김2006<NA>
5497반 룬의 세계사 여행헨드릭 빌럼 반 룬 지음;김대웅 엮음2010<NA>
7634옛 그림에도 사람이 살고 있네 : 조선 화가들의 붓끝에서 되살아난 삶이일수2015<NA>
9003찌질의 역사 1김풍 글; 심윤수 그림2017<NA>
5745새로운 100년 : 오연호가 묻고 법륜스님이 답하다 가슴을 뛰게 하는 통일 이야기법륜, 오연호2012<NA>
487(학교학습 효과를 위한)교육심리학임규혁 지음2003<NA>
2117로마인 이야기.14 :그리스도의 승리시오노 나나미 지음;김석희 옮김2007<NA>
679흙이 살아야 밥상이 산다조한규 감수;최익근 엮음2000<NA>
5455(2011년) 농림수산식품 국내외 R&D 동향 종합 보고서농림수산식품기술기획평가원 [편]2011<NA>

Duplicate rows

Most frequently occurring

도서명저자명출판년도Unnamed: 3# duplicates
168먹거리 팩트 체크;푸드 플랜 가이드북:정책부터 생산, 유통, 교육, 폐기까지김영하 편저2018<NA>9
224이태원 클라쓰[글·그림] 광진2020<NA>8
123나 혼자만 레벨업:추공 장편소설=Only I level up지은이: 추공2019<NA>7
167리딩으로 리드하라 : 세상을 지배하는 0.1퍼센트의 인문고전 독서법이지성2011<NA>7
243필통톡(必通talk), 학부모 걱정에 답하다 : 대한민국 교육정책 초등부터 대입까지교육과학기술부 필통톡 기획팀 지음2012<NA>6
149농식품공무원교육원 훈령 예규집농식품공무원교육원2015<NA>5
204신암행어사 : BLADE OF THE PHANTOM MASTER[글]윤인완 [그림]양경일2019<NA>5
48(박사 55인이 쓴)우리 몸을 지켜주는 식량작물 이야기 50한국작물학회 지음2012<NA>4
95300초 인문학 ; 동양고전 철학과 인생관 (팔자와삶)(DVD) :살면서 꼭 한 번 들어봐야 할 이야기조용헌 [칼럼리스트]2014<NA>4
211우리 역사 길라잡이1국사편찬위원회2008<NA>4