Overview

Dataset statistics

Number of variables5
Number of observations10000
Missing cells3
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory488.3 KiB
Average record size in memory50.0 B

Variable types

Numeric2
Text3

Dataset

Description한국폴리텍대학이 소유한 도서목록(도서명, 저자, 출판사)
Author학교법인한국폴리텍
URLhttps://www.data.go.kr/data/15042488/fileData.do

Alerts

번호 is highly overall correlated with 출판년도High correlation
출판년도 is highly overall correlated with 번호High correlation
번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 23:27:20.769525
Analysis finished2023-12-12 23:27:23.117932
Duration2.35 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%
Mean47378.844
Minimum2
Maximum95288
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T08:27:23.214478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4871.1
Q124017.75
median47303.5
Q371098.25
95-th percentile90341.1
Maximum95288
Range95286
Interquartile range (IQR)47080.5

Descriptive statistics

Standard deviation27228.551
Coefficient of variation (CV)0.57469851
Kurtosis-1.1797871
Mean47378.844
Median Absolute Deviation (MAD)23479.5
Skewness0.01206069
Sum4.7378844 × 108
Variance7.4139399 × 108
MonotonicityNot monotonic
2023-12-13T08:27:23.373205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
48170 1
 
< 0.1%
13506 1
 
< 0.1%
31867 1
 
< 0.1%
25189 1
 
< 0.1%
86185 1
 
< 0.1%
67690 1
 
< 0.1%
7968 1
 
< 0.1%
65789 1
 
< 0.1%
74524 1
 
< 0.1%
72553 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
2 1
< 0.1%
6 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
14 1
< 0.1%
40 1
< 0.1%
45 1
< 0.1%
60 1
< 0.1%
100 1
< 0.1%
112 1
< 0.1%
ValueCountFrequency (%)
95288 1
< 0.1%
95287 1
< 0.1%
95274 1
< 0.1%
95251 1
< 0.1%
95242 1
< 0.1%
95240 1
< 0.1%
95224 1
< 0.1%
95212 1
< 0.1%
95208 1
< 0.1%
95206 1
< 0.1%

도서명
Text

Distinct7651
Distinct (%)76.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T08:27:23.726973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length157
Median length78
Mean length22.2849
Min length1

Characters and Unicode

Total characters222849
Distinct characters1434
Distinct categories15 ?
Distinct scripts5 ?
Distinct blocks11 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6573 ?
Unique (%)65.7%

Sample

1st row언제 들어도 좋은 말:이석원 이야기 산문집
2nd row백미러 속의 우주:대칭으로 읽는 현대 물리학
3rd row소년이 온다:한강 장편소설
4th row위대하라:3포 세대에게 들려주는 희망의 메시지
5th rowSSAT 삼성직무적성검사 실전모의고사
ValueCountFrequency (%)
위한 381
 
0.8%
장편소설 214
 
0.4%
이야기 204
 
0.4%
어떻게 181
 
0.4%
173
 
0.4%
나는 170
 
0.4%
모든 139
 
0.3%
및 127
 
0.3%
기술 125
 
0.3%
한 113
 
0.2%
Other values (19610) 46554
96.2%
2023-12-13T08:27:24.256142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
38476
 
17.3%
: 5028
 
2.3%
의 4680
 
2.1%
이 3508
 
1.6%
기 3444
 
1.5%
는 3375
 
1.5%
사 2580
 
1.2%
한 2148
 
1.0%
지 2083
 
0.9%
가 2032
 
0.9%
Other values (1424) 155495
69.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 147788
66.3%
Space Separator 38476
 
17.3%
Lowercase Letter 13511
 
6.1%
Other Punctuation 8665
 
3.9%
Decimal Number 5901
 
2.6%
Uppercase Letter 4145
 
1.9%
Open Punctuation 1667
 
0.7%
Close Punctuation 1662
 
0.7%
Math Symbol 748
 
0.3%
Dash Punctuation 131
 
0.1%
Other values (5) 155
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 4680
 
3.2%
이 3508
 
2.4%
기 3444
 
2.3%
는 3375
 
2.3%
사 2580
 
1.7%
한 2148
 
1.5%
지 2083
 
1.4%
가 2032
 
1.4%
인 2019
 
1.4%
하 1955
 
1.3%
Other values (1308) 119964
81.2%
Uppercase Letter
ValueCountFrequency (%)
C 425
 
10.3%
S 373
 
9.0%
T 362
 
8.7%
A 323
 
7.8%
D 277
 
6.7%
I 269
 
6.5%
P 250
 
6.0%
M 219
 
5.3%
N 189
 
4.6%
E 182
 
4.4%
Other values (18) 1276
30.8%
Lowercase Letter
ValueCountFrequency (%)
e 1452
10.7%
i 1347
10.0%
a 1260
 
9.3%
o 1215
 
9.0%
n 1208
 
8.9%
t 1012
 
7.5%
r 913
 
6.8%
s 767
 
5.7%
l 612
 
4.5%
c 569
 
4.2%
Other values (16) 3156
23.4%
Other Punctuation
ValueCountFrequency (%)
: 5028
58.0%
. 1342
 
15.5%
, 1202
 
13.9%
· 356
 
4.1%
! 200
 
2.3%
; 172
 
2.0%
? 118
 
1.4%
& 77
 
0.9%
/ 47
 
0.5%
% 26
 
0.3%
Other values (11) 97
 
1.1%
Decimal Number
ValueCountFrequency (%)
1 1443
24.5%
0 1163
19.7%
2 1058
17.9%
3 624
10.6%
5 373
 
6.3%
4 353
 
6.0%
9 241
 
4.1%
7 227
 
3.8%
6 220
 
3.7%
8 199
 
3.4%
Math Symbol
ValueCountFrequency (%)
= 623
83.3%
+ 61
 
8.2%
~ 49
 
6.6%
> 7
 
0.9%
< 7
 
0.9%
× 1
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 1568
94.1%
[ 90
 
5.4%
『 7
 
0.4%
「 2
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 1563
94.0%
] 90
 
5.4%
』 7
 
0.4%
」 2
 
0.1%
Letter Number
ValueCountFrequency (%)
Ⅰ 5
41.7%
Ⅱ 4
33.3%
Ⅲ 2
 
16.7%
Ⅳ 1
 
8.3%
Other Symbol
ValueCountFrequency (%)
° 4
50.0%
ⓔ 2
25.0%
℃ 1
 
12.5%
® 1
 
12.5%
Dash Punctuation
ValueCountFrequency (%)
- 130
99.2%
― 1
 
0.8%
Modifier Symbol
ValueCountFrequency (%)
´ 64
54.2%
` 54
45.8%
Final Punctuation
ValueCountFrequency (%)
’ 11
91.7%
” 1
 
8.3%
Initial Punctuation
ValueCountFrequency (%)
‘ 4
80.0%
“ 1
 
20.0%
Space Separator
ValueCountFrequency (%)
38476
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 147547
66.2%
Common 57393
 
25.8%
Latin 17668
 
7.9%
Han 236
 
0.1%
Katakana 5
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 4680
 
3.2%
이 3508
 
2.4%
기 3444
 
2.3%
는 3375
 
2.3%
사 2580
 
1.7%
한 2148
 
1.5%
지 2083
 
1.4%
가 2032
 
1.4%
인 2019
 
1.4%
하 1955
 
1.3%
Other values (1172) 119723
81.1%
Han
ValueCountFrequency (%)
月 9
 
3.8%
生 9
 
3.8%
國 7
 
3.0%
未 6
 
2.5%
譯 6
 
2.5%
集 5
 
2.1%
註 4
 
1.7%
三 4
 
1.7%
上 4
 
1.7%
朝 4
 
1.7%
Other values (121) 178
75.4%
Common
ValueCountFrequency (%)
38476
67.0%
: 5028
 
8.8%
( 1568
 
2.7%
) 1563
 
2.7%
1 1443
 
2.5%
. 1342
 
2.3%
, 1202
 
2.1%
0 1163
 
2.0%
2 1058
 
1.8%
3 624
 
1.1%
Other values (48) 3926
 
6.8%
Latin
ValueCountFrequency (%)
e 1452
 
8.2%
i 1347
 
7.6%
a 1260
 
7.1%
o 1215
 
6.9%
n 1208
 
6.8%
t 1012
 
5.7%
r 913
 
5.2%
s 767
 
4.3%
l 612
 
3.5%
c 569
 
3.2%
Other values (48) 7313
41.4%
Katakana
ValueCountFrequency (%)
ジ 1
20.0%
ュ 1
20.0%
リ 1
20.0%
ナ 1
20.0%
ア 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 147542
66.2%
ASCII 74494
33.4%
None 531
 
0.2%
CJK 234
 
0.1%
Punctuation 21
 
< 0.1%
Number Forms 12
 
< 0.1%
Compat Jamo 5
 
< 0.1%
Katakana 5
 
< 0.1%
Enclosed Alphanum 2
 
< 0.1%
CJK Compat Ideographs 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
38476
51.6%
: 5028
 
6.7%
( 1568
 
2.1%
) 1563
 
2.1%
e 1452
 
1.9%
1 1443
 
1.9%
i 1347
 
1.8%
. 1342
 
1.8%
a 1260
 
1.7%
o 1215
 
1.6%
Other values (75) 19800
26.6%
Hangul
ValueCountFrequency (%)
의 4680
 
3.2%
이 3508
 
2.4%
기 3444
 
2.3%
는 3375
 
2.3%
사 2580
 
1.7%
한 2148
 
1.5%
지 2083
 
1.4%
가 2032
 
1.4%
인 2019
 
1.4%
하 1955
 
1.3%
Other values (1171) 119718
81.1%
None
ValueCountFrequency (%)
· 356
67.0%
´ 64
 
12.1%
？ 23
 
4.3%
＆ 23
 
4.3%
＇ 18
 
3.4%
『 7
 
1.3%
』 7
 
1.3%
／ 6
 
1.1%
． 4
 
0.8%
° 4
 
0.8%
Other values (9) 19
 
3.6%
Punctuation
ValueCountFrequency (%)
’ 11
52.4%
‘ 4
 
19.0%
… 3
 
14.3%
“ 1
 
4.8%
” 1
 
4.8%
― 1
 
4.8%
CJK
ValueCountFrequency (%)
月 9
 
3.8%
生 9
 
3.8%
國 7
 
3.0%
未 6
 
2.6%
譯 6
 
2.6%
集 5
 
2.1%
註 4
 
1.7%
三 4
 
1.7%
上 4
 
1.7%
朝 4
 
1.7%
Other values (119) 176
75.2%
Compat Jamo
ValueCountFrequency (%)
ㆍ 5
100.0%
Number Forms
ValueCountFrequency (%)
Ⅰ 5
41.7%
Ⅱ 4
33.3%
Ⅲ 2
 
16.7%
Ⅳ 1
 
8.3%
Enclosed Alphanum
ValueCountFrequency (%)
ⓔ 2
100.0%
CJK Compat Ideographs
ValueCountFrequency (%)
李 1
50.0%
黎 1
50.0%
Katakana
ValueCountFrequency (%)
ジ 1
20.0%
ュ 1
20.0%
リ 1
20.0%
ナ 1
20.0%
ア 1
20.0%
Letterlike Symbols
ValueCountFrequency (%)
℃ 1
100.0%

저자명
Text

Distinct6432
Distinct (%)64.3%
Missing3
Missing (%)< 0.1%
Memory size156.2 KiB
2023-12-13T08:27:24.521520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length231
Median length121
Mean length12.603981
Min length1

Characters and Unicode

Total characters126002
Distinct characters962
Distinct categories14 ?
Distinct scripts5 ?
Distinct blocks9 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5101 ?
Unique (%)51.0%

Sample

1st row이석원 지음
2nd row데이브 골드버그 지음;박병철 옮김
3rd row한강 지음
4th row강건 지음
5th row해커스잡취업교육연구소 편
ValueCountFrequency (%)
지음 4782
 
16.7%
옮김 3164
 
11.0%
공저 332
 
1.2%
외 259
 
0.9%
지은이 166
 
0.6%
편저 148
 
0.5%
그림 136
 
0.5%
글·그림 127
 
0.4%
저 117
 
0.4%
편 96
 
0.3%
Other values (9380) 19378
67.5%
2023-12-13T08:27:24.938345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
18889
 
15.0%
지 8888
 
7.1%
음 8324
 
6.6%
; 7529
 
6.0%
김 5938
 
4.7%
옮 3322
 
2.6%
이 3132
 
2.5%
스 1365
 
1.1%
정 1339
 
1.1%
영 1236
 
1.0%
Other values (952) 66040
52.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 94563
75.0%
Space Separator 18889
 
15.0%
Other Punctuation 8652
 
6.9%
Lowercase Letter 1381
 
1.1%
Uppercase Letter 1116
 
0.9%
Open Punctuation 565
 
0.4%
Close Punctuation 564
 
0.4%
Decimal Number 164
 
0.1%
Math Symbol 51
 
< 0.1%
Dash Punctuation 40
 
< 0.1%
Other values (4) 17
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 8888
 
9.4%
음 8324
 
8.8%
김 5938
 
6.3%
옮 3322
 
3.5%
이 3132
 
3.3%
스 1365
 
1.4%
정 1339
 
1.4%
영 1236
 
1.3%
박 940
 
1.0%
리 913
 
1.0%
Other values (867) 59166
62.6%
Lowercase Letter
ValueCountFrequency (%)
a 184
13.3%
i 152
11.0%
e 123
 
8.9%
r 115
 
8.3%
o 103
 
7.5%
t 81
 
5.9%
n 76
 
5.5%
u 74
 
5.4%
h 63
 
4.6%
s 60
 
4.3%
Other values (14) 350
25.3%
Uppercase Letter
ValueCountFrequency (%)
S 132
 
11.8%
B 105
 
9.4%
C 83
 
7.4%
D 79
 
7.1%
M 65
 
5.8%
K 63
 
5.6%
J 62
 
5.6%
A 60
 
5.4%
E 60
 
5.4%
T 57
 
5.1%
Other values (14) 350
31.4%
Other Punctuation
ValueCountFrequency (%)
; 7529
87.0%
. 326
 
3.8%
: 279
 
3.2%
, 265
 
3.1%
· 226
 
2.6%
/ 10
 
0.1%
& 9
 
0.1%
＆ 6
 
0.1%
% 1
 
< 0.1%
? 1
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
0 46
28.0%
1 37
22.6%
2 25
15.2%
3 20
12.2%
6 15
 
9.1%
8 9
 
5.5%
9 5
 
3.0%
5 3
 
1.8%
4 2
 
1.2%
7 2
 
1.2%
Open Punctuation
ValueCountFrequency (%)
[ 559
98.9%
( 3
 
0.5%
『 2
 
0.4%
〈 1
 
0.2%
Close Punctuation
ValueCountFrequency (%)
] 558
98.9%
) 3
 
0.5%
』 2
 
0.4%
〉 1
 
0.2%
Math Symbol
ValueCountFrequency (%)
< 25
49.0%
> 25
49.0%
+ 1
 
2.0%
Space Separator
ValueCountFrequency (%)
18889
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 40
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 12
100.0%
Modifier Symbol
ValueCountFrequency (%)
´ 3
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 1
100.0%
Other Symbol
ValueCountFrequency (%)
ⓔ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 94513
75.0%
Common 28942
 
23.0%
Latin 2497
 
2.0%
Han 45
 
< 0.1%
Katakana 5
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 8888
 
9.4%
음 8324
 
8.8%
김 5938
 
6.3%
옮 3322
 
3.5%
이 3132
 
3.3%
스 1365
 
1.4%
정 1339
 
1.4%
영 1236
 
1.3%
박 940
 
1.0%
리 913
 
1.0%
Other values (821) 59116
62.5%
Latin
ValueCountFrequency (%)
a 184
 
7.4%
i 152
 
6.1%
S 132
 
5.3%
e 123
 
4.9%
r 115
 
4.6%
B 105
 
4.2%
o 103
 
4.1%
C 83
 
3.3%
t 81
 
3.2%
D 79
 
3.2%
Other values (38) 1340
53.7%
Han
ValueCountFrequency (%)
集 3
 
6.7%
李 2
 
4.4%
編 2
 
4.4%
外 1
 
2.2%
鳳 1
 
2.2%
北 1
 
2.2%
嶋 1
 
2.2%
千 1
 
2.2%
鶴 1
 
2.2%
子 1
 
2.2%
Other values (31) 31
68.9%
Common
ValueCountFrequency (%)
18889
65.3%
; 7529
 
26.0%
[ 559
 
1.9%
] 558
 
1.9%
. 326
 
1.1%
: 279
 
1.0%
, 265
 
0.9%
· 226
 
0.8%
0 46
 
0.2%
- 40
 
0.1%
Other values (27) 225
 
0.8%
Katakana
ValueCountFrequency (%)
ブ 1
20.0%
ル 1
20.0%
ガ 1
20.0%
イ 1
20.0%
ド 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 94511
75.0%
ASCII 31196
 
24.8%
None 241
 
0.2%
CJK 43
 
< 0.1%
Katakana 5
 
< 0.1%
CJK Compat Ideographs 2
 
< 0.1%
Compat Jamo 2
 
< 0.1%
Punctuation 1
 
< 0.1%
Enclosed Alphanum 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
18889
60.5%
; 7529
 
24.1%
[ 559
 
1.8%
] 558
 
1.8%
. 326
 
1.0%
: 279
 
0.9%
, 265
 
0.8%
a 184
 
0.6%
i 152
 
0.5%
S 132
 
0.4%
Other values (66) 2323
 
7.4%
Hangul
ValueCountFrequency (%)
지 8888
 
9.4%
음 8324
 
8.8%
김 5938
 
6.3%
옮 3322
 
3.5%
이 3132
 
3.3%
스 1365
 
1.4%
정 1339
 
1.4%
영 1236
 
1.3%
박 940
 
1.0%
리 913
 
1.0%
Other values (820) 59114
62.5%
None
ValueCountFrequency (%)
· 226
93.8%
＆ 6
 
2.5%
´ 3
 
1.2%
『 2
 
0.8%
』 2
 
0.8%
〈 1
 
0.4%
〉 1
 
0.4%
CJK
ValueCountFrequency (%)
集 3
 
7.0%
編 2
 
4.7%
外 1
 
2.3%
鳳 1
 
2.3%
北 1
 
2.3%
嶋 1
 
2.3%
千 1
 
2.3%
鶴 1
 
2.3%
子 1
 
2.3%
實 1
 
2.3%
Other values (30) 30
69.8%
CJK Compat Ideographs
ValueCountFrequency (%)
李 2
100.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 2
100.0%
Katakana
ValueCountFrequency (%)
ブ 1
20.0%
ル 1
20.0%
ガ 1
20.0%
イ 1
20.0%
ド 1
20.0%
Punctuation
ValueCountFrequency (%)
’ 1
100.0%
Enclosed Alphanum
ValueCountFrequency (%)
ⓔ 1
100.0%

출판사
Text

Distinct2276
Distinct (%)22.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T08:27:25.251337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length27
Mean length5.1109
Min length1

Characters and Unicode

Total characters51109
Distinct characters670
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1286 ?
Unique (%)12.9%

Sample

1st row금책
2nd row해나무
3rd row파주:창비
4th row누림북스
5th row챔프스터디
ValueCountFrequency (%)
한국폴리텍대학 971
 
9.3%
민음사 321
 
3.1%
문학동네 161
 
1.5%
서울 132
 
1.3%
파주:문학동네 127
 
1.2%
위즈덤하우스 103
 
1.0%
열린책들 97
 
0.9%
김영사 93
 
0.9%
창비 88
 
0.8%
시공사 80
 
0.8%
Other values (2176) 8219
79.1%
2023-12-13T08:27:25.793368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
스 1818
 
3.6%
사 1640
 
3.2%
: 1595
 
3.1%
학 1570
 
3.1%
리 1516
 
3.0%
한 1351
 
2.6%
파 1190
 
2.3%
대 1151
 
2.3%
주 1095
 
2.1%
북 1086
 
2.1%
Other values (660) 37097
72.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 45379
88.8%
Lowercase Letter 2090
 
4.1%
Other Punctuation 1676
 
3.3%
Uppercase Letter 836
 
1.6%
Space Separator 450
 
0.9%
Decimal Number 323
 
0.6%
Close Punctuation 177
 
0.3%
Open Punctuation 177
 
0.3%
Modifier Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 1818
 
4.0%
사 1640
 
3.6%
학 1570
 
3.5%
리 1516
 
3.3%
한 1351
 
3.0%
파 1190
 
2.6%
대 1151
 
2.5%
주 1095
 
2.4%
북 1086
 
2.4%
국 1082
 
2.4%
Other values (586) 31880
70.3%
Uppercase Letter
ValueCountFrequency (%)
B 186
22.2%
M 77
 
9.2%
A 62
 
7.4%
H 54
 
6.5%
S 51
 
6.1%
K 42
 
5.0%
I 40
 
4.8%
R 40
 
4.8%
P 38
 
4.5%
D 33
 
3.9%
Other values (16) 213
25.5%
Lowercase Letter
ValueCountFrequency (%)
o 365
17.5%
s 197
9.4%
e 165
 
7.9%
a 158
 
7.6%
k 144
 
6.9%
i 144
 
6.9%
n 132
 
6.3%
r 115
 
5.5%
t 102
 
4.9%
l 87
 
4.2%
Other values (15) 481
23.0%
Other Punctuation
ValueCountFrequency (%)
: 1595
95.2%
. 46
 
2.7%
& 13
 
0.8%
; 6
 
0.4%
· 5
 
0.3%
, 4
 
0.2%
＆ 4
 
0.2%
# 2
 
0.1%
? 1
 
0.1%
Decimal Number
ValueCountFrequency (%)
1 140
43.3%
2 137
42.4%
0 17
 
5.3%
3 15
 
4.6%
6 5
 
1.5%
5 4
 
1.2%
4 3
 
0.9%
8 2
 
0.6%
Close Punctuation
ValueCountFrequency (%)
) 144
81.4%
] 33
 
18.6%
Open Punctuation
ValueCountFrequency (%)
( 144
81.4%
[ 33
 
18.6%
Space Separator
ValueCountFrequency (%)
450
100.0%
Modifier Symbol
ValueCountFrequency (%)
´ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 45362
88.8%
Latin 2926
 
5.7%
Common 2804
 
5.5%
Han 17
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 1818
 
4.0%
사 1640
 
3.6%
학 1570
 
3.5%
리 1516
 
3.3%
한 1351
 
3.0%
파 1190
 
2.6%
대 1151
 
2.5%
주 1095
 
2.4%
북 1086
 
2.4%
국 1082
 
2.4%
Other values (569) 31863
70.2%
Latin
ValueCountFrequency (%)
o 365
 
12.5%
s 197
 
6.7%
B 186
 
6.4%
e 165
 
5.6%
a 158
 
5.4%
k 144
 
4.9%
i 144
 
4.9%
n 132
 
4.5%
r 115
 
3.9%
t 102
 
3.5%
Other values (41) 1218
41.6%
Common
ValueCountFrequency (%)
: 1595
56.9%
450
 
16.0%
) 144
 
5.1%
( 144
 
5.1%
1 140
 
5.0%
2 137
 
4.9%
. 46
 
1.6%
] 33
 
1.2%
[ 33
 
1.2%
0 17
 
0.6%
Other values (13) 65
 
2.3%
Han
ValueCountFrequency (%)
慶 1
 
5.9%
南 1
 
5.9%
日 1
 
5.9%
報 1
 
5.9%
築 1
 
5.9%
大 1
 
5.9%
明 1
 
5.9%
會 1
 
5.9%
學 1
 
5.9%
堂 1
 
5.9%
Other values (7) 7
41.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 45362
88.8%
ASCII 5720
 
11.2%
CJK 17
 
< 0.1%
None 10
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
스 1818
 
4.0%
사 1640
 
3.6%
학 1570
 
3.5%
리 1516
 
3.3%
한 1351
 
3.0%
파 1190
 
2.6%
대 1151
 
2.5%
주 1095
 
2.4%
북 1086
 
2.4%
국 1082
 
2.4%
Other values (569) 31863
70.2%
ASCII
ValueCountFrequency (%)
: 1595
27.9%
450
 
7.9%
o 365
 
6.4%
s 197
 
3.4%
B 186
 
3.3%
e 165
 
2.9%
a 158
 
2.8%
) 144
 
2.5%
k 144
 
2.5%
i 144
 
2.5%
Other values (61) 2172
38.0%
None
ValueCountFrequency (%)
· 5
50.0%
＆ 4
40.0%
´ 1
 
10.0%
CJK
ValueCountFrequency (%)
慶 1
 
5.9%
南 1
 
5.9%
日 1
 
5.9%
報 1
 
5.9%
築 1
 
5.9%
大 1
 
5.9%
明 1
 
5.9%
會 1
 
5.9%
學 1
 
5.9%
堂 1
 
5.9%
Other values (7) 7
41.2%

출판년도
Real number (ℝ)

HIGH CORRELATION 

Distinct10
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2015.4039
Minimum1997
Maximum2020
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T08:27:25.914502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1997
5-th percentile2013
Q12014
median2015
Q32017
95-th percentile2018
Maximum2020
Range23
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.7329354
Coefficient of variation (CV)0.00085984521
Kurtosis0.40130981
Mean2015.4039
Median Absolute Deviation (MAD)1
Skewness0.11720383
Sum20154039
Variance3.0030651
MonotonicityNot monotonic
2023-12-13T08:27:26.015863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
2015 2011
20.1%
2016 1812
18.1%
2014 1721
17.2%
2013 1685
16.9%
2017 1305
13.1%
2018 1106
11.1%
2019 351
 
3.5%
2020 5
 
0.1%
2008 3
 
< 0.1%
1997 1
 
< 0.1%
ValueCountFrequency (%)
1997 1
 
< 0.1%
2008 3
 
< 0.1%
2013 1685
16.9%
2014 1721
17.2%
2015 2011
20.1%
2016 1812
18.1%
2017 1305
13.1%
2018 1106
11.1%
2019 351
 
3.5%
2020 5
 
0.1%
ValueCountFrequency (%)
2020 5
 
0.1%
2019 351
 
3.5%
2018 1106
11.1%
2017 1305
13.1%
2016 1812
18.1%
2015 2011
20.1%
2014 1721
17.2%
2013 1685
16.9%
2008 3
 
< 0.1%
1997 1
 
< 0.1%

Interactions

2023-12-13T08:27:22.684054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:27:22.481422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:27:22.791104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:27:22.589133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T08:27:26.082696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호출판년도
번호1.0000.977
출판년도0.9771.000
2023-12-13T08:27:26.416406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호출판년도
번호1.000-0.984
출판년도-0.9841.000

Missing values

2023-12-13T08:27:22.932995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T08:27:23.069505image/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

번호도서명저자명출판사출판년도
4816848170언제 들어도 좋은 말:이석원 이야기 산문집이석원 지음금책2015
5143451436백미러 속의 우주:대칭으로 읽는 현대 물리학데이브 골드버그 지음;박병철 옮김해나무2015
4082940831소년이 온다:한강 장편소설한강 지음파주:창비2016
2321923220위대하라:3포 세대에게 들려주는 희망의 메시지강건 지음누림북스2017
7474174743SSAT 삼성직무적성검사 실전모의고사해커스잡취업교육연구소 편챔프스터디2014
4635946361센서 공학=Sensor Technology원용규;손진근;백승영 지음한국폴리텍대학2015
57855786사물인터넷(IoT) 유·무선 통신 실습양정모;장선권;이용 지음한국폴리텍대학2018
3261432615연민의 굴레:쉬는 시간.2재활용 글·그림학산문화사2016
1947319474(설민석의) 한국사 대모험.2:설쌤의 라이벌, 황 대감의 등장설민석;스토리박스 글;정현희 그림파주:아이휴먼2017
6518965191영화 읽어주는 인문학안용태 지음생각의길2014
번호도서명저자명출판사출판년도
5063450636로봇 시대, 인간의 일:인공지능 시대를 살아가야 할 이들을 위한 안내서구본권 지음어크로스2015
36693670헤드스트롱 퍼포먼스:운동과 영양, 뇌과학을 통해 멘탈 퍼포먼스를 강화하라마르셀 다나 지음;이경숙;이주용 옮김행복에너지2018
3166631667기계가공기능장:필기정연택, 이상준, 조영배, 손일권 공저파주:건기원2016
9476594767(99% 사람들이 하지 않는 단 1%)혁신하려면 실행하라비제이 고빈다라잔;크리스 트림블 지음;롯데인재개발원 옮김글로세움2013
8941389415캘린더 호수서정춘 지음시인생각2013
2916829169압록강은 흐른다이미록 지음;박균 옮김살림2016
1072010721예측 불가능한 시대에 행복하게 사는 법:4차 산업혁명 시대를 위한 생존전략윤성식 지음파주:수오서재2018
1191211913비통한 자들을 위한 정치학:왜 민주주의에서 마음이 중요한가파커 J. 파머 지음파주:글항아리2018
8307183073파운데이션과 제국아이작 아시모프 지음;김옥수 옮김황금가지2013
3027130272그리드를 파괴하라:창의력을 만드는 공간 혁신 전략천의영;이동우 지음세종서적2016