Overview

Dataset statistics

Number of variables6
Number of observations10000
Missing cells45
Missing cells (%)0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory566.4 KiB
Average record size in memory58.0 B

Variable types

Numeric2
Text3
Categorical1

Dataset

Description부산광역시남구_도서관신착도서목록_20230713
Author부산광역시 남구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15060954

Alerts

발행년 is highly imbalanced (64.5%)Imbalance
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-10 16:13:46.208857
Analysis finished2023-12-10 16:13:49.131427
Duration2.92 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7103.9061
Minimum2
Maximum14299
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T01:13:49.211256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile702.9
Q13531.5
median7060.5
Q310659.25
95-th percentile13585.05
Maximum14299
Range14297
Interquartile range (IQR)7127.75

Descriptive statistics

Standard deviation4122.0594
Coefficient of variation (CV)0.58025251
Kurtosis-1.1961753
Mean7103.9061
Median Absolute Deviation (MAD)3563.5
Skewness0.016514282
Sum71039061
Variance16991373
MonotonicityNot monotonic
2023-12-11T01:13:49.353688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11085 1
 
< 0.1%
9733 1
 
< 0.1%
6845 1
 
< 0.1%
688 1
 
< 0.1%
3767 1
 
< 0.1%
13849 1
 
< 0.1%
2865 1
 
< 0.1%
12424 1
 
< 0.1%
11019 1
 
< 0.1%
10693 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
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%
11 1
< 0.1%
ValueCountFrequency (%)
14299 1
< 0.1%
14298 1
< 0.1%
14297 1
< 0.1%
14296 1
< 0.1%
14294 1
< 0.1%
14291 1
< 0.1%
14289 1
< 0.1%
14288 1
< 0.1%
14287 1
< 0.1%
14284 1
< 0.1%

서명
Text

Distinct9444
Distinct (%)94.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-11T01:13:49.822772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length150
Median length93
Mean length23.7466
Min length1

Characters and Unicode

Total characters237466
Distinct characters1806
Distinct categories16 ?
Distinct scripts7 ?
Distinct blocks16 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8909 ?
Unique (%)89.1%

Sample

1st row윤코Sketch book 그리고 걷다 : 어반스케치 풍경편
2nd row뉴노멀의 음악 : 디지털 컨버전스 음악으로 미래를 듣다
3rd row약삭빠르게 온천
4th row총의 과학=Science of guns : 발사 원리와 총신의 진화로 본 총의 구조와 메커니즘 해설
5th row꿈을 담아, 공방=Story of my first metal workshop
ValueCountFrequency (%)
4780
 
7.8%
이야기 411
 
0.7%
장편소설 375
 
0.6%
위한 353
 
0.6%
대활자본 251
 
0.4%
더책 247
 
0.4%
1 209
 
0.3%
the 203
 
0.3%
내 192
 
0.3%
2 183
 
0.3%
Other values (23408) 54185
88.3%
2023-12-11T01:13:50.554694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
51395
 
21.6%
: 4701
 
2.0%
이 4409
 
1.9%
의 4020
 
1.7%
는 3423
 
1.4%
기 2323
 
1.0%
, 2221
 
0.9%
가 2138
 
0.9%
지 2065
 
0.9%
한 1974
 
0.8%
Other values (1796) 158797
66.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 149805
63.1%
Space Separator 51395
 
21.6%
Lowercase Letter 15264
 
6.4%
Other Punctuation 10396
 
4.4%
Decimal Number 3717
 
1.6%
Uppercase Letter 2504
 
1.1%
Close Punctuation 1890
 
0.8%
Open Punctuation 1889
 
0.8%
Math Symbol 437
 
0.2%
Dash Punctuation 140
 
0.1%
Other values (6) 29
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 4409
 
2.9%
의 4020
 
2.7%
는 3423
 
2.3%
기 2323
 
1.6%
가 2138
 
1.4%
지 2065
 
1.4%
한 1974
 
1.3%
리 1911
 
1.3%
사 1899
 
1.3%
다 1889
 
1.3%
Other values (1637) 123754
82.6%
Lowercase Letter
ValueCountFrequency (%)
e 1812
11.9%
o 1315
 
8.6%
a 1301
 
8.5%
t 1123
 
7.4%
n 1098
 
7.2%
i 1087
 
7.1%
r 1043
 
6.8%
s 893
 
5.9%
h 705
 
4.6%
l 610
 
4.0%
Other values (44) 4277
28.0%
Uppercase Letter
ValueCountFrequency (%)
T 271
 
10.8%
S 267
 
10.7%
A 166
 
6.6%
I 160
 
6.4%
M 159
 
6.3%
C 139
 
5.6%
B 137
 
5.5%
P 111
 
4.4%
G 110
 
4.4%
F 107
 
4.3%
Other values (25) 877
35.0%
Other Punctuation
ValueCountFrequency (%)
: 4701
45.2%
, 2221
21.4%
? 1336
 
12.9%
. 995
 
9.6%
! 584
 
5.6%
· 217
 
2.1%
' 190
 
1.8%
＆ 36
 
0.3%
％ 18
 
0.2%
& 16
 
0.2%
Other values (14) 82
 
0.8%
Decimal Number
ValueCountFrequency (%)
1 968
26.0%
0 700
18.8%
2 622
16.7%
3 366
 
9.8%
5 284
 
7.6%
4 224
 
6.0%
9 159
 
4.3%
6 147
 
4.0%
8 127
 
3.4%
7 120
 
3.2%
Math Symbol
ValueCountFrequency (%)
= 329
75.3%
~ 64
 
14.6%
+ 18
 
4.1%
× 12
 
2.7%
< 5
 
1.1%
> 4
 
0.9%
| 4
 
0.9%
∼ 1
 
0.2%
Close Punctuation
ValueCountFrequency (%)
) 1096
58.0%
] 779
41.2%
》 7
 
0.4%
』 6
 
0.3%
」 1
 
0.1%
} 1
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 1096
58.0%
[ 779
41.2%
《 7
 
0.4%
『 6
 
0.3%
「 1
 
0.1%
Other Symbol
ValueCountFrequency (%)
○ 2
28.6%
★ 2
28.6%
♥ 1
14.3%
ⓔ 1
14.3%
℃ 1
14.3%
Letter Number
ValueCountFrequency (%)
Ⅱ 6
60.0%
Ⅰ 3
30.0%
Ⅸ 1
 
10.0%
Dash Punctuation
ValueCountFrequency (%)
- 138
98.6%
― 2
 
1.4%
Initial Punctuation
ValueCountFrequency (%)
‘ 2
66.7%
“ 1
33.3%
Final Punctuation
ValueCountFrequency (%)
’ 2
66.7%
” 1
33.3%
Space Separator
ValueCountFrequency (%)
51395
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 5
100.0%
Other Number
ValueCountFrequency (%)
② 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 148874
62.7%
Common 69883
29.4%
Latin 17487
 
7.4%
Hiragana 432
 
0.2%
Han 399
 
0.2%
Cyrillic 291
 
0.1%
Katakana 100
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 4409
 
3.0%
의 4020
 
2.7%
는 3423
 
2.3%
기 2323
 
1.6%
가 2138
 
1.4%
지 2065
 
1.4%
한 1974
 
1.3%
리 1911
 
1.3%
사 1899
 
1.3%
다 1889
 
1.3%
Other values (1293) 122823
82.5%
Han
ValueCountFrequency (%)
的 21
 
5.3%
我 9
 
2.3%
小 8
 
2.0%
好 6
 
1.5%
不 6
 
1.5%
子 5
 
1.3%
蛙 5
 
1.3%
要 5
 
1.3%
一 5
 
1.3%
韓 5
 
1.3%
Other values (226) 324
81.2%
Common
ValueCountFrequency (%)
51395
73.5%
: 4701
 
6.7%
, 2221
 
3.2%
? 1336
 
1.9%
( 1096
 
1.6%
) 1096
 
1.6%
. 995
 
1.4%
1 968
 
1.4%
[ 779
 
1.1%
] 779
 
1.1%
Other values (57) 4517
 
6.5%
Hiragana
ValueCountFrequency (%)
い 36
 
8.3%
の 33
 
7.6%
う 19
 
4.4%
し 17
 
3.9%
か 16
 
3.7%
ん 16
 
3.7%
お 14
 
3.2%
と 13
 
3.0%
く 13
 
3.0%
あ 13
 
3.0%
Other values (55) 242
56.0%
Latin
ValueCountFrequency (%)
e 1812
 
10.4%
o 1315
 
7.5%
a 1301
 
7.4%
t 1123
 
6.4%
n 1098
 
6.3%
i 1087
 
6.2%
r 1043
 
6.0%
s 893
 
5.1%
h 705
 
4.0%
l 610
 
3.5%
Other values (46) 6500
37.2%
Katakana
ValueCountFrequency (%)
ン 9
 
9.0%
ッ 8
 
8.0%
ト 5
 
5.0%
ス 5
 
5.0%
ペ 4
 
4.0%
ウ 4
 
4.0%
ア 4
 
4.0%
コ 4
 
4.0%
キ 4
 
4.0%
イ 3
 
3.0%
Other values (33) 50
50.0%
Cyrillic
ValueCountFrequency (%)
о 35
 
12.0%
е 23
 
7.9%
и 21
 
7.2%
р 18
 
6.2%
с 17
 
5.8%
а 17
 
5.8%
н 17
 
5.8%
к 16
 
5.5%
м 13
 
4.5%
т 13
 
4.5%
Other values (26) 101
34.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 148866
62.7%
ASCII 86981
36.6%
Hiragana 432
 
0.2%
CJK 397
 
0.2%
None 355
 
0.1%
Cyrillic 291
 
0.1%
Katakana 100
 
< 0.1%
Punctuation 15
 
< 0.1%
Number Forms 10
 
< 0.1%
Compat Jamo 8
 
< 0.1%
Other values (6) 11
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
51395
59.1%
: 4701
 
5.4%
, 2221
 
2.6%
e 1812
 
2.1%
? 1336
 
1.5%
o 1315
 
1.5%
a 1301
 
1.5%
t 1123
 
1.3%
n 1098
 
1.3%
( 1096
 
1.3%
Other values (79) 19583
 
22.5%
Hangul
ValueCountFrequency (%)
이 4409
 
3.0%
의 4020
 
2.7%
는 3423
 
2.3%
기 2323
 
1.6%
가 2138
 
1.4%
지 2065
 
1.4%
한 1974
 
1.3%
리 1911
 
1.3%
사 1899
 
1.3%
다 1889
 
1.3%
Other values (1286) 122815
82.5%
None
ValueCountFrequency (%)
· 217
61.1%
＆ 36
 
10.1%
％ 18
 
5.1%
đ 16
 
4.5%
× 12
 
3.4%
／ 8
 
2.3%
》 7
 
2.0%
《 7
 
2.0%
』 6
 
1.7%
『 6
 
1.7%
Other values (8) 22
 
6.2%
Hiragana
ValueCountFrequency (%)
い 36
 
8.3%
の 33
 
7.6%
う 19
 
4.4%
し 17
 
3.9%
か 16
 
3.7%
ん 16
 
3.7%
お 14
 
3.2%
と 13
 
3.0%
く 13
 
3.0%
あ 13
 
3.0%
Other values (55) 242
56.0%
Cyrillic
ValueCountFrequency (%)
о 35
 
12.0%
е 23
 
7.9%
и 21
 
7.2%
р 18
 
6.2%
с 17
 
5.8%
а 17
 
5.8%
н 17
 
5.8%
к 16
 
5.5%
м 13
 
4.5%
т 13
 
4.5%
Other values (26) 101
34.7%
CJK
ValueCountFrequency (%)
的 21
 
5.3%
我 9
 
2.3%
小 8
 
2.0%
好 6
 
1.5%
不 6
 
1.5%
子 5
 
1.3%
蛙 5
 
1.3%
要 5
 
1.3%
一 5
 
1.3%
韓 5
 
1.3%
Other values (224) 322
81.1%
Katakana
ValueCountFrequency (%)
ン 9
 
9.0%
ッ 8
 
8.0%
ト 5
 
5.0%
ス 5
 
5.0%
ペ 4
 
4.0%
ウ 4
 
4.0%
ア 4
 
4.0%
コ 4
 
4.0%
キ 4
 
4.0%
イ 3
 
3.0%
Other values (33) 50
50.0%
Punctuation
ValueCountFrequency (%)
… 7
46.7%
― 2
 
13.3%
‘ 2
 
13.3%
’ 2
 
13.3%
” 1
 
6.7%
“ 1
 
6.7%
Number Forms
ValueCountFrequency (%)
Ⅱ 6
60.0%
Ⅰ 3
30.0%
Ⅸ 1
 
10.0%
Geometric Shapes
ValueCountFrequency (%)
○ 2
100.0%
Compat Jamo
ValueCountFrequency (%)
ㄹ 2
25.0%
ㅡ 1
12.5%
ㅣ 1
12.5%
ㅓ 1
12.5%
ㅋ 1
12.5%
ㅅ 1
12.5%
ㅈ 1
12.5%
Misc Symbols
ValueCountFrequency (%)
★ 2
66.7%
♥ 1
33.3%
Math Operators
ValueCountFrequency (%)
∼ 1
100.0%
CJK Compat Ideographs
ValueCountFrequency (%)
料 1
50.0%
李 1
50.0%
Enclosed Alphanum
ValueCountFrequency (%)
ⓔ 1
50.0%
② 1
50.0%
Letterlike Symbols
ValueCountFrequency (%)
℃ 1
100.0%

저작자
Text

Distinct8381
Distinct (%)83.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-11T01:13:50.998593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length236
Median length122
Mean length15.6243
Min length3

Characters and Unicode

Total characters156243
Distinct characters1303
Distinct categories11 ?
Distinct scripts6 ?
Distinct blocks9 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7319 ?
Unique (%)73.2%

Sample

1st row곽윤환 지음
2nd row원유선 지음
3rd row구스미 마사유키 지음 ; 최윤영 옮김
4th row가노 요시노리 지음 ; 신찬 옮김
5th row배준희 지음
ValueCountFrequency (%)
6510
 
14.4%
지음 5697
 
12.6%
옮김 2694
 
6.0%
그림 2608
 
5.8%
글 2153
 
4.8%
글·그림 502
 
1.1%
by 452
 
1.0%
공]지음 330
 
0.7%
외 231
 
0.5%
illustrated 140
 
0.3%
Other values (12563) 23795
52.7%
2023-12-11T01:13:51.703845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
35138
22.5%
지 7086
 
4.5%
; 6388
 
4.1%
음 6183
 
4.0%
김 5159
 
3.3%
그 3369
 
2.2%
림 3333
 
2.1%
이 3173
 
2.0%
글 2888
 
1.8%
옮 2744
 
1.8%
Other values (1293) 80782
51.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 95578
61.2%
Space Separator 35138
 
22.5%
Lowercase Letter 11649
 
7.5%
Other Punctuation 10037
 
6.4%
Uppercase Letter 2074
 
1.3%
Open Punctuation 840
 
0.5%
Close Punctuation 839
 
0.5%
Dash Punctuation 48
 
< 0.1%
Decimal Number 34
 
< 0.1%
Other Symbol 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 7086
 
7.4%
음 6183
 
6.5%
김 5159
 
5.4%
그 3369
 
3.5%
림 3333
 
3.5%
이 3173
 
3.3%
글 2888
 
3.0%
옮 2744
 
2.9%
정 1675
 
1.8%
스 1328
 
1.4%
Other values (1208) 58640
61.4%
Lowercase Letter
ValueCountFrequency (%)
a 1252
10.7%
e 1137
 
9.8%
i 973
 
8.4%
r 943
 
8.1%
n 869
 
7.5%
t 840
 
7.2%
l 825
 
7.1%
y 689
 
5.9%
s 604
 
5.2%
o 580
 
5.0%
Other values (19) 2937
25.2%
Uppercase Letter
ValueCountFrequency (%)
S 189
 
9.1%
M 164
 
7.9%
B 155
 
7.5%
A 142
 
6.8%
T 131
 
6.3%
C 126
 
6.1%
D 122
 
5.9%
J 113
 
5.4%
H 106
 
5.1%
L 104
 
5.0%
Other values (17) 722
34.8%
Other Punctuation
ValueCountFrequency (%)
; 6388
63.6%
, 1811
 
18.0%
? 761
 
7.6%
· 648
 
6.5%
. 207
 
2.1%
: 184
 
1.8%
/ 21
 
0.2%
' 15
 
0.1%
& 2
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
1 11
32.4%
2 7
20.6%
3 6
17.6%
0 3
 
8.8%
6 2
 
5.9%
5 2
 
5.9%
9 2
 
5.9%
8 1
 
2.9%
Open Punctuation
ValueCountFrequency (%)
[ 793
94.4%
( 44
 
5.2%
〈 3
 
0.4%
Close Punctuation
ValueCountFrequency (%)
] 792
94.4%
) 44
 
5.2%
〉 3
 
0.4%
Other Symbol
ValueCountFrequency (%)
ⓔ 3
75.0%
│ 1
 
25.0%
Math Symbol
ValueCountFrequency (%)
＞ 1
50.0%
＜ 1
50.0%
Space Separator
ValueCountFrequency (%)
35138
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 48
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 94539
60.5%
Common 46942
30.0%
Latin 13723
 
8.8%
Han 551
 
0.4%
Katakana 272
 
0.2%
Hiragana 216
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 7086
 
7.5%
음 6183
 
6.5%
김 5159
 
5.5%
그 3369
 
3.6%
림 3333
 
3.5%
이 3173
 
3.4%
글 2888
 
3.1%
옮 2744
 
2.9%
정 1675
 
1.8%
스 1328
 
1.4%
Other values (899) 57601
60.9%
Han
ValueCountFrequency (%)
著 44
 
8.0%
文 27
 
4.9%
子 22
 
4.0%
日 17
 
3.1%
田 15
 
2.7%
作 12
 
2.2%
英 10
 
1.8%
夫 9
 
1.6%
斯 9
 
1.6%
人 9
 
1.6%
Other values (191) 377
68.4%
Katakana
ValueCountFrequency (%)
ン 26
 
9.6%
リ 16
 
5.9%
シ 10
 
3.7%
チ 10
 
3.7%
ル 10
 
3.7%
ッ 9
 
3.3%
ト 8
 
2.9%
ス 8
 
2.9%
イ 8
 
2.9%
ョ 8
 
2.9%
Other values (51) 159
58.5%
Latin
ValueCountFrequency (%)
a 1252
 
9.1%
e 1137
 
8.3%
i 973
 
7.1%
r 943
 
6.9%
n 869
 
6.3%
t 840
 
6.1%
l 825
 
6.0%
y 689
 
5.0%
s 604
 
4.4%
o 580
 
4.2%
Other values (46) 5011
36.5%
Hiragana
ValueCountFrequency (%)
く 19
 
8.8%
や 16
 
7.4%
み 12
 
5.6%
さ 12
 
5.6%
え 11
 
5.1%
と 9
 
4.2%
ひ 9
 
4.2%
か 8
 
3.7%
し 8
 
3.7%
ん 7
 
3.2%
Other values (37) 105
48.6%
Common
ValueCountFrequency (%)
35138
74.9%
; 6388
 
13.6%
, 1811
 
3.9%
[ 793
 
1.7%
] 792
 
1.7%
? 761
 
1.6%
· 648
 
1.4%
. 207
 
0.4%
: 184
 
0.4%
- 48
 
0.1%
Other values (19) 172
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 94537
60.5%
ASCII 59994
38.4%
None 667
 
0.4%
CJK 551
 
0.4%
Katakana 272
 
0.2%
Hiragana 216
 
0.1%
Enclosed Alphanum 3
 
< 0.1%
Compat Jamo 2
 
< 0.1%
Box Drawing 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
35138
58.6%
; 6388
 
10.6%
, 1811
 
3.0%
a 1252
 
2.1%
e 1137
 
1.9%
i 973
 
1.6%
r 943
 
1.6%
n 869
 
1.4%
t 840
 
1.4%
l 825
 
1.4%
Other values (64) 9818
 
16.4%
Hangul
ValueCountFrequency (%)
지 7086
 
7.5%
음 6183
 
6.5%
김 5159
 
5.5%
그 3369
 
3.6%
림 3333
 
3.5%
이 3173
 
3.4%
글 2888
 
3.1%
옮 2744
 
2.9%
정 1675
 
1.8%
스 1328
 
1.4%
Other values (898) 57599
60.9%
None
ValueCountFrequency (%)
· 648
97.2%
đ 7
 
1.0%
〉 3
 
0.4%
〈 3
 
0.4%
ø 2
 
0.3%
＞ 1
 
0.1%
＜ 1
 
0.1%
æ 1
 
0.1%
Ø 1
 
0.1%
CJK
ValueCountFrequency (%)
著 44
 
8.0%
文 27
 
4.9%
子 22
 
4.0%
日 17
 
3.1%
田 15
 
2.7%
作 12
 
2.2%
英 10
 
1.8%
夫 9
 
1.6%
斯 9
 
1.6%
人 9
 
1.6%
Other values (191) 377
68.4%
Katakana
ValueCountFrequency (%)
ン 26
 
9.6%
リ 16
 
5.9%
シ 10
 
3.7%
チ 10
 
3.7%
ル 10
 
3.7%
ッ 9
 
3.3%
ト 8
 
2.9%
ス 8
 
2.9%
イ 8
 
2.9%
ョ 8
 
2.9%
Other values (51) 159
58.5%
Hiragana
ValueCountFrequency (%)
く 19
 
8.8%
や 16
 
7.4%
み 12
 
5.6%
さ 12
 
5.6%
え 11
 
5.1%
と 9
 
4.2%
ひ 9
 
4.2%
か 8
 
3.7%
し 8
 
3.7%
ん 7
 
3.2%
Other values (37) 105
48.6%
Enclosed Alphanum
ValueCountFrequency (%)
ⓔ 3
100.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 2
100.0%
Box Drawing
ValueCountFrequency (%)
│ 1
100.0%

발행자
Text

Distinct2810
Distinct (%)28.1%
Missing4
Missing (%)< 0.1%
Memory size156.2 KiB
2023-12-11T01:13:52.149196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length51
Mean length5.4209684
Min length1

Characters and Unicode

Total characters54188
Distinct characters906
Distinct categories9 ?
Distinct scripts6 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1414 ?
Unique (%)14.1%

Sample

1st row북만손
2nd row모노폴리
3rd row북포레스트
4th row보누스
5th row크루
ValueCountFrequency (%)
books 161
 
1.5%
창비 147
 
1.3%
문학동네 129
 
1.2%
위즈덤하우스 105
 
1.0%
웅진북클럽:웅진씽크빅 95
 
0.9%
김영사 87
 
0.8%
그레이트북스 80
 
0.7%
비룡소 71
 
0.7%
민음사 71
 
0.7%
천개의바람 57
 
0.5%
Other values (2878) 9889
90.8%
2023-12-11T01:13:52.701407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
스 1816
 
3.4%
북 1604
 
3.0%
이 1308
 
2.4%
사 1085
 
2.0%
o 1052
 
1.9%
: 974
 
1.8%
903
 
1.7%
어 856
 
1.6%
아 760
 
1.4%
리 688
 
1.3%
Other values (896) 43142
79.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 42483
78.4%
Lowercase Letter 6954
 
12.8%
Uppercase Letter 1978
 
3.7%
Other Punctuation 1459
 
2.7%
Space Separator 903
 
1.7%
Decimal Number 167
 
0.3%
Open Punctuation 117
 
0.2%
Close Punctuation 117
 
0.2%
Dash Punctuation 10
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 1816
 
4.3%
북 1604
 
3.8%
이 1308
 
3.1%
사 1085
 
2.6%
어 856
 
2.0%
아 760
 
1.8%
리 688
 
1.6%
비 626
 
1.5%
문 615
 
1.4%
미 497
 
1.2%
Other values (816) 32628
76.8%
Lowercase Letter
ValueCountFrequency (%)
o 1052
15.1%
s 666
9.6%
r 604
 
8.7%
e 572
 
8.2%
i 534
 
7.7%
n 511
 
7.3%
a 484
 
7.0%
l 351
 
5.0%
k 337
 
4.8%
t 278
 
4.0%
Other values (16) 1565
22.5%
Uppercase Letter
ValueCountFrequency (%)
B 409
20.7%
S 187
 
9.5%
P 124
 
6.3%
H 124
 
6.3%
C 119
 
6.0%
R 103
 
5.2%
E 94
 
4.8%
K 90
 
4.6%
N 73
 
3.7%
O 65
 
3.3%
Other values (16) 590
29.8%
Other Punctuation
ValueCountFrequency (%)
: 974
66.8%
? 314
 
21.5%
' 48
 
3.3%
. 33
 
2.3%
& 32
 
2.2%
, 23
 
1.6%
# 17
 
1.2%
＆ 11
 
0.8%
/ 3
 
0.2%
· 2
 
0.1%
Other values (2) 2
 
0.1%
Decimal Number
ValueCountFrequency (%)
2 67
40.1%
1 65
38.9%
4 8
 
4.8%
6 7
 
4.2%
8 6
 
3.6%
9 4
 
2.4%
3 4
 
2.4%
0 2
 
1.2%
5 2
 
1.2%
7 2
 
1.2%
Open Punctuation
ValueCountFrequency (%)
( 115
98.3%
[ 2
 
1.7%
Close Punctuation
ValueCountFrequency (%)
) 115
98.3%
] 2
 
1.7%
Space Separator
ValueCountFrequency (%)
903
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 41906
77.3%
Latin 8932
 
16.5%
Common 2773
 
5.1%
Han 475
 
0.9%
Katakana 68
 
0.1%
Hiragana 34
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 1816
 
4.3%
북 1604
 
3.8%
이 1308
 
3.1%
사 1085
 
2.6%
어 856
 
2.0%
아 760
 
1.8%
리 688
 
1.6%
비 626
 
1.5%
문 615
 
1.5%
미 497
 
1.2%
Other values (640) 32051
76.5%
Han
ValueCountFrequency (%)
社 62
 
13.1%
出 62
 
13.1%
版 62
 
13.1%
新 12
 
2.5%
公 12
 
2.5%
司 12
 
2.5%
人 10
 
2.1%
文 10
 
2.1%
中 9
 
1.9%
北 9
 
1.9%
Other values (106) 215
45.3%
Latin
ValueCountFrequency (%)
o 1052
 
11.8%
s 666
 
7.5%
r 604
 
6.8%
e 572
 
6.4%
i 534
 
6.0%
n 511
 
5.7%
a 484
 
5.4%
B 409
 
4.6%
l 351
 
3.9%
k 337
 
3.8%
Other values (42) 3412
38.2%
Katakana
ValueCountFrequency (%)
ン 7
 
10.3%
イ 6
 
8.8%
ラ 4
 
5.9%
ナ 4
 
5.9%
ス 4
 
5.9%
プ 4
 
5.9%
ポ 3
 
4.4%
パ 3
 
4.4%
シ 3
 
4.4%
リ 2
 
2.9%
Other values (23) 28
41.2%
Common
ValueCountFrequency (%)
: 974
35.1%
903
32.6%
? 314
 
11.3%
( 115
 
4.1%
) 115
 
4.1%
2 67
 
2.4%
1 65
 
2.3%
' 48
 
1.7%
. 33
 
1.2%
& 32
 
1.2%
Other values (18) 107
 
3.9%
Hiragana
ValueCountFrequency (%)
あ 3
 
8.8%
か 3
 
8.8%
る 2
 
5.9%
の 2
 
5.9%
ほ 2
 
5.9%
ひ 1
 
2.9%
さ 1
 
2.9%
た 1
 
2.9%
ね 1
 
2.9%
え 1
 
2.9%
Other values (17) 17
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 41904
77.3%
ASCII 11689
 
21.6%
CJK 475
 
0.9%
Katakana 68
 
0.1%
Hiragana 34
 
0.1%
None 16
 
< 0.1%
Compat Jamo 2
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
스 1816
 
4.3%
북 1604
 
3.8%
이 1308
 
3.1%
사 1085
 
2.6%
어 856
 
2.0%
아 760
 
1.8%
리 688
 
1.6%
비 626
 
1.5%
문 615
 
1.5%
미 497
 
1.2%
Other values (639) 32049
76.5%
ASCII
ValueCountFrequency (%)
o 1052
 
9.0%
: 974
 
8.3%
903
 
7.7%
s 666
 
5.7%
r 604
 
5.2%
e 572
 
4.9%
i 534
 
4.6%
n 511
 
4.4%
a 484
 
4.1%
B 409
 
3.5%
Other values (66) 4980
42.6%
CJK
ValueCountFrequency (%)
社 62
 
13.1%
出 62
 
13.1%
版 62
 
13.1%
新 12
 
2.5%
公 12
 
2.5%
司 12
 
2.5%
人 10
 
2.1%
文 10
 
2.1%
中 9
 
1.9%
北 9
 
1.9%
Other values (106) 215
45.3%
None
ValueCountFrequency (%)
＆ 11
68.8%
· 2
 
12.5%
đ 2
 
12.5%
＃ 1
 
6.2%
Katakana
ValueCountFrequency (%)
ン 7
 
10.3%
イ 6
 
8.8%
ラ 4
 
5.9%
ナ 4
 
5.9%
ス 4
 
5.9%
プ 4
 
5.9%
ポ 3
 
4.4%
パ 3
 
4.4%
シ 3
 
4.4%
リ 2
 
2.9%
Other values (23) 28
41.2%
Hiragana
ValueCountFrequency (%)
あ 3
 
8.8%
か 3
 
8.8%
る 2
 
5.9%
の 2
 
5.9%
ほ 2
 
5.9%
ひ 1
 
2.9%
さ 1
 
2.9%
た 1
 
2.9%
ね 1
 
2.9%
え 1
 
2.9%
Other values (17) 17
50.0%
Compat Jamo
ValueCountFrequency (%)
ㅁ 2
100.0%

발행년
Categorical

IMBALANCE 

Distinct28
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2022
6250 
2021
2483 
2020
 
385
2019
 
247
2018
 
146
Other values (23)
 
489

Length

Max length6
Median length4
Mean length4.0125
Min length4

Unique

Unique5 ?
Unique (%)< 0.1%

Sample

1st row2019
2nd row2021
3rd row2021
4th row2021
5th row2022

Common Values

ValueCountFrequency (%)
2022 6250
62.5%
2021 2483
 
24.8%
2020 385
 
3.9%
2019 247
 
2.5%
2018 146
 
1.5%
2017 98
 
1.0%
2016 84
 
0.8%
[2020] 59
 
0.6%
2014 51
 
0.5%
2013 39
 
0.4%
Other values (18) 158
 
1.6%

Length

2023-12-11T01:13:52.900321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2022 6250
62.5%
2021 2485
 
24.9%
2020 444
 
4.4%
2019 248
 
2.5%
2018 146
 
1.5%
2017 98
 
1.0%
2016 84
 
0.8%
2014 51
 
0.5%
2013 39
 
0.4%
2011 38
 
0.4%
Other values (15) 117
 
1.2%

가격
Real number (ℝ)

Distinct207
Distinct (%)2.1%
Missing41
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean16483.009
Minimum3000
Maximum60000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T01:13:53.049586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3000
5-th percentile10000
Q113000
median15000
Q318000
95-th percentile28500
Maximum60000
Range57000
Interquartile range (IQR)5000

Descriptive statistics

Standard deviation5811.5011
Coefficient of variation (CV)0.35257525
Kurtosis5.3121481
Mean16483.009
Median Absolute Deviation (MAD)2000
Skewness1.8541158
Sum1.6415429 × 108
Variance33773545
MonotonicityNot monotonic
2023-12-11T01:13:53.221614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15000 1066
 
10.7%
13000 978
 
9.8%
12000 893
 
8.9%
14000 703
 
7.0%
16000 687
 
6.9%
18000 493
 
4.9%
17000 372
 
3.7%
10000 228
 
2.3%
22000 214
 
2.1%
20000 209
 
2.1%
Other values (197) 4116
41.2%
ValueCountFrequency (%)
3000 1
 
< 0.1%
3500 3
 
< 0.1%
3820 28
0.3%
4020 1
 
< 0.1%
6000 62
0.6%
6500 7
 
0.1%
7000 50
0.5%
7350 30
0.3%
7500 8
 
0.1%
7700 1
 
< 0.1%
ValueCountFrequency (%)
60000 2
< 0.1%
59000 1
 
< 0.1%
58000 1
 
< 0.1%
55000 1
 
< 0.1%
50000 3
< 0.1%
49500 1
 
< 0.1%
49000 3
< 0.1%
48000 4
< 0.1%
47000 4
< 0.1%
46000 2
< 0.1%

Interactions

2023-12-11T01:13:48.598081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:13:48.388771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:13:48.698766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:13:48.497706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T01:13:53.347508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번발행년가격
연번1.0000.2890.235
발행년0.2891.0000.613
가격0.2350.6131.000
2023-12-11T01:13:53.806849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번가격발행년
연번1.000-0.0610.107
가격-0.0611.0000.270
발행년0.1070.2701.000

Missing values

2023-12-11T01:13:48.820516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:13:48.939027image/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.
2023-12-11T01:13:49.057972image/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

연번서명저작자발행자발행년가격
1108411085윤코Sketch book 그리고 걷다 : 어반스케치 풍경편곽윤환 지음북만손201925000
48264827뉴노멀의 음악 : 디지털 컨버전스 음악으로 미래를 듣다원유선 지음모노폴리202125000
93869387약삭빠르게 온천구스미 마사유키 지음 ; 최윤영 옮김북포레스트202113000
1282012821총의 과학=Science of guns : 발사 원리와 총신의 진화로 본 총의 구조와 메커니즘 해설가노 요시노리 지음 ; 신찬 옮김보누스202116800
38363837꿈을 담아, 공방=Story of my first metal workshop배준희 지음크루202218000
1231812319지금 당장 기후 토론 : 우리는 서로의 지구니까김추령 지음우리학교202215500
1287412875춘란의 계절 : 김선희 장편소설김선희 지음자음과모음202213000
25952596같은 월급 다른 투자핀업 스탁 지음팬덤북스202222000
28182819곁에 있다는 것[큰글자도서, 대활자본] : 김중미 장편소설김중미 지음창비202135000
39943995나는 주니어 개발자다 : 청년 개발자 다섯의 성장 이야기지찬규 [외]지음로드북202118000
연번서명저작자발행자발행년가격
10981099(주석으로 쉽게 읽는) 고정욱 삼국지. 2, 난세의 간웅고정욱 평역애플북스:비전비엔피202214800
63836384묘사의 기술 : 느낌을 표현하는 법마크 도티 지음 ; 정해영 옮김엑스북스202213500
58035804리나 보 바르디 : 건축가의 꿈을 이룬 소녀, 리나 보 바르디앙헬라 레온 지음 ; 이민 옮김이유202215000
151152(The) cat who saved booksby Sosuke Natsukawa ; translated by Louise Heal KawaiPicador202115300
74147415비밀 숙제김다노 글 ; 이윤희 그림사계절202213000
62396240명화로 만나는 생태. 2, 조류김성화,권수진 [공]글 ; 이철민 그림국립생태원202111000
17841785Danbi leads the school paradeby Anna KimViking Books for Young Readers202028100
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