Overview

Dataset statistics

Number of variables8
Number of observations5955
Missing cells766
Missing cells (%)1.6%
Duplicate rows90
Duplicate rows (%)1.5%
Total size in memory383.9 KiB
Average record size in memory66.0 B

Variable types

Categorical2
Numeric2
Text3
DateTime1

Dataset

Description2023.3.14. 기준 대전광역시 인재개발원 정보자료실에 소장중인 도서목록입니다. - 보유 도서수량 : 3,064권 - 도서분류 : 총류, 철학, 종교, 사회과학, 순수과학, 기술과학, 예술, 언어, 문학, 역사 - 제공데이터 : 도서분류, 청구기호, 도서명, 저자, 출판사, 출판일 등
URLhttps://www.data.go.kr/data/15081031/fileData.do

Alerts

Dataset has 90 (1.5%) duplicate rowsDuplicates
청구기호 is highly overall correlated with 도서분류High correlation
도서분류 is highly overall correlated with 청구기호High correlation
청구기호 has 90 (1.5%) missing valuesMissing
출판일 has 650 (10.9%) missing valuesMissing
구입가격 has 601 (10.1%) zerosZeros

Reproduction

Analysis started2023-12-13 00:59:17.498224
Analysis finished2023-12-13 00:59:19.496021
Duration2 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

도서분류
Categorical

HIGH CORRELATION 

Distinct10
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size46.7 KiB
문학
2168 
사회과학
1423 
철학
563 
역사
528 
기술과학
411 
Other values (5)
862 

Length

Max length4
Median length2
Mean length2.6629723
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row사회과학
2nd row사회과학
3rd row사회과학
4th row사회과학
5th row사회과학

Common Values

ValueCountFrequency (%)
문학 2168
36.4%
사회과학 1423
23.9%
철학 563
 
9.5%
역사 528
 
8.9%
기술과학 411
 
6.9%
예술 250
 
4.2%
총류 183
 
3.1%
종교 175
 
2.9%
순수과학 140
 
2.4%
언어 114
 
1.9%

Length

2023-12-13T09:59:19.559474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T09:59:19.675669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
문학 2168
36.4%
사회과학 1423
23.9%
철학 563
 
9.5%
역사 528
 
8.9%
기술과학 411
 
6.9%
예술 250
 
4.2%
총류 183
 
3.1%
종교 175
 
2.9%
순수과학 140
 
2.4%
언어 114
 
1.9%

청구기호
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct1325
Distinct (%)22.6%
Missing90
Missing (%)1.5%
Infinite0
Infinite (%)0.0%
Mean576.6958
Minimum1
Maximum8091
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size52.5 KiB
2023-12-13T09:59:19.787983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile144.84
Q1325.1
median660.1
Q3818
95-th percentile911.05
Maximum8091
Range8090
Interquartile range (IQR)492.9

Descriptive statistics

Standard deviation296.93225
Coefficient of variation (CV)0.51488541
Kurtosis68.460483
Mean576.6958
Median Absolute Deviation (MAD)232
Skewness2.5447519
Sum3382320.9
Variance88168.762
MonotonicityNot monotonic
2023-12-13T09:59:19.896932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
813.6 570
 
9.6%
818.0 195
 
3.3%
843.0 164
 
2.8%
199.1 102
 
1.7%
823.5 99
 
1.7%
833.6 99
 
1.7%
325.04 98
 
1.6%
325.1 94
 
1.6%
911.0 86
 
1.4%
813.7 78
 
1.3%
Other values (1315) 4280
71.9%
(Missing) 90
 
1.5%
ValueCountFrequency (%)
1.0 2
 
< 0.1%
1.1 1
 
< 0.1%
1.3 11
0.2%
1.44 1
 
< 0.1%
1.442 3
 
0.1%
3.5 1
 
< 0.1%
4.0 1
 
< 0.1%
4.077 2
 
< 0.1%
4.1 1
 
< 0.1%
4.172 3
 
0.1%
ValueCountFrequency (%)
8091.0 1
 
< 0.1%
2325.7 1
 
< 0.1%
999.82 1
 
< 0.1%
999.11 1
 
< 0.1%
999.0 1
 
< 0.1%
998.4 1
 
< 0.1%
998.325 1
 
< 0.1%
998.3 1
 
< 0.1%
998.0 7
0.1%
992.1 2
 
< 0.1%

도서명
Text

Distinct5593
Distinct (%)93.9%
Missing0
Missing (%)0.0%
Memory size46.7 KiB
2023-12-13T09:59:20.173739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length30
Mean length11.187238
Min length1

Characters and Unicode

Total characters66620
Distinct characters1099
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5386 ?
Unique (%)90.4%

Sample

1st row강대국의 유혹
2nd row김정일 코드
3rd row딜레마와 행정
4th row멀티미디어 시대의 행정
5th row한국행정의 쇄신사례
ValueCountFrequency (%)
1 103
 
0.6%
2 99
 
0.6%
위한 78
 
0.5%
이야기 68
 
0.4%
만화 61
 
0.4%
전략삼국지 60
 
0.4%
나는 58
 
0.4%
3 54
 
0.3%
내 47
 
0.3%
46
 
0.3%
Other values (9091) 15604
95.9%
2023-12-13T09:59:20.574248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10593
 
15.9%
의 1772
 
2.7%
( 1363
 
2.0%
) 1361
 
2.0%
이 1128
 
1.7%
사 1058
 
1.6%
는 982
 
1.5%
1 837
 
1.3%
한 830
 
1.2%
기 795
 
1.2%
Other values (1089) 45901
68.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 48648
73.0%
Space Separator 10593
 
15.9%
Decimal Number 2999
 
4.5%
Open Punctuation 1363
 
2.0%
Close Punctuation 1361
 
2.0%
Uppercase Letter 751
 
1.1%
Other Punctuation 422
 
0.6%
Lowercase Letter 267
 
0.4%
Dash Punctuation 204
 
0.3%
Math Symbol 8
 
< 0.1%
Other values (2) 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 1772
 
3.6%
이 1128
 
2.3%
사 1058
 
2.2%
는 982
 
2.0%
한 830
 
1.7%
기 795
 
1.6%
지 738
 
1.5%
다 734
 
1.5%
가 717
 
1.5%
인 652
 
1.3%
Other values (1009) 39242
80.7%
Uppercase Letter
ValueCountFrequency (%)
E 104
13.8%
N 59
 
7.9%
T 59
 
7.9%
S 58
 
7.7%
I 52
 
6.9%
D 51
 
6.8%
R 49
 
6.5%
C 48
 
6.4%
P 39
 
5.2%
O 36
 
4.8%
Other values (16) 196
26.1%
Lowercase Letter
ValueCountFrequency (%)
e 44
16.5%
o 25
9.4%
t 21
 
7.9%
i 21
 
7.9%
r 20
 
7.5%
n 20
 
7.5%
a 20
 
7.5%
s 13
 
4.9%
d 11
 
4.1%
h 10
 
3.7%
Other values (14) 62
23.2%
Other Punctuation
ValueCountFrequency (%)
, 233
55.2%
: 63
 
14.9%
. 44
 
10.4%
/ 34
 
8.1%
% 13
 
3.1%
! 12
 
2.8%
& 11
 
2.6%
@ 5
 
1.2%
… 4
 
0.9%
" 2
 
0.5%
Decimal Number
ValueCountFrequency (%)
1 837
27.9%
2 625
20.8%
0 411
13.7%
3 323
 
10.8%
4 180
 
6.0%
5 172
 
5.7%
9 124
 
4.1%
7 117
 
3.9%
6 106
 
3.5%
8 104
 
3.5%
Math Symbol
ValueCountFrequency (%)
~ 7
87.5%
= 1
 
12.5%
Other Symbol
ValueCountFrequency (%)
℃ 1
50.0%
♥ 1
50.0%
Space Separator
ValueCountFrequency (%)
10593
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1363
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1361
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 204
100.0%
Currency Symbol
ValueCountFrequency (%)
$ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 48629
73.0%
Common 16954
 
25.4%
Latin 1018
 
1.5%
Han 19
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 1772
 
3.6%
이 1128
 
2.3%
사 1058
 
2.2%
는 982
 
2.0%
한 830
 
1.7%
기 795
 
1.6%
지 738
 
1.5%
다 734
 
1.5%
가 717
 
1.5%
인 652
 
1.3%
Other values (999) 39223
80.7%
Latin
ValueCountFrequency (%)
E 104
 
10.2%
N 59
 
5.8%
T 59
 
5.8%
S 58
 
5.7%
I 52
 
5.1%
D 51
 
5.0%
R 49
 
4.8%
C 48
 
4.7%
e 44
 
4.3%
P 39
 
3.8%
Other values (40) 455
44.7%
Common
ValueCountFrequency (%)
10593
62.5%
( 1363
 
8.0%
) 1361
 
8.0%
1 837
 
4.9%
2 625
 
3.7%
0 411
 
2.4%
3 323
 
1.9%
, 233
 
1.4%
- 204
 
1.2%
4 180
 
1.1%
Other values (20) 824
 
4.9%
Han
ValueCountFrequency (%)
人 4
21.1%
新 4
21.1%
義 4
21.1%
史 1
 
5.3%
九 1
 
5.3%
理 1
 
5.3%
原 1
 
5.3%
譯 1
 
5.3%
生 1
 
5.3%
茶 1
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 48629
73.0%
ASCII 17966
 
27.0%
CJK 18
 
< 0.1%
Punctuation 4
 
< 0.1%
Letterlike Symbols 1
 
< 0.1%
CJK Compat Ideographs 1
 
< 0.1%
Misc Symbols 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10593
59.0%
( 1363
 
7.6%
) 1361
 
7.6%
1 837
 
4.7%
2 625
 
3.5%
0 411
 
2.3%
3 323
 
1.8%
, 233
 
1.3%
- 204
 
1.1%
4 180
 
1.0%
Other values (67) 1836
 
10.2%
Hangul
ValueCountFrequency (%)
의 1772
 
3.6%
이 1128
 
2.3%
사 1058
 
2.2%
는 982
 
2.0%
한 830
 
1.7%
기 795
 
1.6%
지 738
 
1.5%
다 734
 
1.5%
가 717
 
1.5%
인 652
 
1.3%
Other values (999) 39223
80.7%
Punctuation
ValueCountFrequency (%)
… 4
100.0%
CJK
ValueCountFrequency (%)
人 4
22.2%
新 4
22.2%
義 4
22.2%
史 1
 
5.6%
九 1
 
5.6%
理 1
 
5.6%
原 1
 
5.6%
譯 1
 
5.6%
生 1
 
5.6%
Letterlike Symbols
ValueCountFrequency (%)
℃ 1
100.0%
CJK Compat Ideographs
ValueCountFrequency (%)
茶 1
100.0%
Misc Symbols
ValueCountFrequency (%)
♥ 1
100.0%

저자
Text

Distinct3860
Distinct (%)64.8%
Missing0
Missing (%)0.0%
Memory size46.7 KiB
2023-12-13T09:59:20.873361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length3
Mean length5.056759
Min length1

Characters and Unicode

Total characters30113
Distinct characters802
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3108 ?
Unique (%)52.2%

Sample

1st row로널드 스틸
2nd row브루스 커밍스
3rd row윤견수 외3인
4th row정충식
5th row박동서
ValueCountFrequency (%)
요코하마 62
 
0.8%
미츠테루 62
 
0.8%
외 61
 
0.8%
존 54
 
0.7%
박경리 39
 
0.5%
편집부 39
 
0.5%
조정래 36
 
0.4%
시오노나나미 35
 
0.4%
외2인 34
 
0.4%
동아출판사 31
 
0.4%
Other values (4647) 7624
94.4%
2023-12-13T09:59:21.249614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2742
 
9.1%
이 1024
 
3.4%
김 731
 
2.4%
스 651
 
2.2%
리 433
 
1.4%
정 369
 
1.2%
영 368
 
1.2%
인 303
 
1.0%
미 300
 
1.0%
, 293
 
1.0%
Other values (792) 22899
76.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 25911
86.0%
Space Separator 2742
 
9.1%
Other Punctuation 550
 
1.8%
Uppercase Letter 387
 
1.3%
Lowercase Letter 291
 
1.0%
Decimal Number 165
 
0.5%
Open Punctuation 31
 
0.1%
Close Punctuation 28
 
0.1%
Dash Punctuation 6
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 1024
 
4.0%
김 731
 
2.8%
스 651
 
2.5%
리 433
 
1.7%
정 369
 
1.4%
영 368
 
1.4%
인 303
 
1.2%
미 300
 
1.2%
박 291
 
1.1%
마 290
 
1.1%
Other values (721) 21151
81.6%
Lowercase Letter
ValueCountFrequency (%)
e 47
16.2%
a 32
11.0%
i 23
 
7.9%
n 20
 
6.9%
r 19
 
6.5%
s 18
 
6.2%
l 15
 
5.2%
h 13
 
4.5%
t 13
 
4.5%
c 13
 
4.5%
Other values (14) 78
26.8%
Uppercase Letter
ValueCountFrequency (%)
S 45
11.6%
B 39
 
10.1%
K 38
 
9.8%
J 30
 
7.8%
M 28
 
7.2%
C 26
 
6.7%
D 24
 
6.2%
E 18
 
4.7%
R 17
 
4.4%
V 16
 
4.1%
Other values (14) 106
27.4%
Decimal Number
ValueCountFrequency (%)
2 44
26.7%
1 36
21.8%
3 18
10.9%
4 14
 
8.5%
8 11
 
6.7%
9 11
 
6.7%
0 9
 
5.5%
5 9
 
5.5%
6 8
 
4.8%
7 5
 
3.0%
Other Punctuation
ValueCountFrequency (%)
, 293
53.3%
. 205
37.3%
/ 30
 
5.5%
& 13
 
2.4%
; 6
 
1.1%
# 2
 
0.4%
· 1
 
0.2%
Math Symbol
ValueCountFrequency (%)
< 1
50.0%
> 1
50.0%
Space Separator
ValueCountFrequency (%)
2742
100.0%
Open Punctuation
ValueCountFrequency (%)
( 31
100.0%
Close Punctuation
ValueCountFrequency (%)
) 28
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 25817
85.7%
Common 3524
 
11.7%
Latin 678
 
2.3%
Han 94
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 1024
 
4.0%
김 731
 
2.8%
스 651
 
2.5%
리 433
 
1.7%
정 369
 
1.4%
영 368
 
1.4%
인 303
 
1.2%
미 300
 
1.2%
박 291
 
1.1%
마 290
 
1.1%
Other values (707) 21057
81.6%
Latin
ValueCountFrequency (%)
e 47
 
6.9%
S 45
 
6.6%
B 39
 
5.8%
K 38
 
5.6%
a 32
 
4.7%
J 30
 
4.4%
M 28
 
4.1%
C 26
 
3.8%
D 24
 
3.5%
i 23
 
3.4%
Other values (38) 346
51.0%
Common
ValueCountFrequency (%)
2742
77.8%
, 293
 
8.3%
. 205
 
5.8%
2 44
 
1.2%
1 36
 
1.0%
( 31
 
0.9%
/ 30
 
0.9%
) 28
 
0.8%
3 18
 
0.5%
4 14
 
0.4%
Other values (13) 83
 
2.4%
Han
ValueCountFrequency (%)
藏 20
21.3%
罔 20
21.3%
八 20
21.3%
山 20
21.3%
外 5
 
5.3%
著 1
 
1.1%
金 1
 
1.1%
命 1
 
1.1%
祚 1
 
1.1%
郞 1
 
1.1%
Other values (4) 4
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 25817
85.7%
ASCII 4201
 
14.0%
CJK 94
 
0.3%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2742
65.3%
, 293
 
7.0%
. 205
 
4.9%
e 47
 
1.1%
S 45
 
1.1%
2 44
 
1.0%
B 39
 
0.9%
K 38
 
0.9%
1 36
 
0.9%
a 32
 
0.8%
Other values (60) 680
 
16.2%
Hangul
ValueCountFrequency (%)
이 1024
 
4.0%
김 731
 
2.8%
스 651
 
2.5%
리 433
 
1.7%
정 369
 
1.4%
영 368
 
1.4%
인 303
 
1.2%
미 300
 
1.2%
박 291
 
1.1%
마 290
 
1.1%
Other values (707) 21057
81.6%
CJK
ValueCountFrequency (%)
藏 20
21.3%
罔 20
21.3%
八 20
21.3%
山 20
21.3%
外 5
 
5.3%
著 1
 
1.1%
金 1
 
1.1%
命 1
 
1.1%
祚 1
 
1.1%
郞 1
 
1.1%
Other values (4) 4
 
4.3%
None
ValueCountFrequency (%)
· 1
100.0%

출판사
Text

Distinct1653
Distinct (%)27.8%
Missing0
Missing (%)0.0%
Memory size46.7 KiB
2023-12-13T09:59:21.514993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length13
Mean length4.1467674
Min length1

Characters and Unicode

Total characters24694
Distinct characters585
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique938 ?
Unique (%)15.8%

Sample

1st row한울
2nd row따뜻한손
3rd row나남출판
4th row나남출판
5th row법문사
ValueCountFrequency (%)
김영사 129
 
2.1%
문학동네 119
 
2.0%
한길사 108
 
1.8%
민음사 91
 
1.5%
21세기북스 79
 
1.3%
고려원 73
 
1.2%
열린책들 71
 
1.2%
삼성출판사 70
 
1.2%
해냄 70
 
1.2%
대현 62
 
1.0%
Other values (1638) 5211
85.7%
2023-12-13T09:59:21.875616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 1997
 
8.1%
문 893
 
3.6%
스 672
 
2.7%
판 590
 
2.4%
출 588
 
2.4%
한 434
 
1.8%
북 400
 
1.6%
학 380
 
1.5%
347
 
1.4%
원 316
 
1.3%
Other values (575) 18077
73.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 23726
96.1%
Space Separator 347
 
1.4%
Uppercase Letter 187
 
0.8%
Decimal Number 181
 
0.7%
Lowercase Letter 141
 
0.6%
Other Punctuation 64
 
0.3%
Close Punctuation 21
 
0.1%
Open Punctuation 20
 
0.1%
Dash Punctuation 4
 
< 0.1%
Other Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 1997
 
8.4%
문 893
 
3.8%
스 672
 
2.8%
판 590
 
2.5%
출 588
 
2.5%
한 434
 
1.8%
북 400
 
1.7%
학 380
 
1.6%
원 316
 
1.3%
동 293
 
1.2%
Other values (517) 17163
72.3%
Uppercase Letter
ValueCountFrequency (%)
B 57
30.5%
M 51
27.3%
K 8
 
4.3%
C 7
 
3.7%
H 7
 
3.7%
N 5
 
2.7%
R 5
 
2.7%
I 5
 
2.7%
P 5
 
2.7%
T 4
 
2.1%
Other values (12) 33
17.6%
Lowercase Letter
ValueCountFrequency (%)
o 23
16.3%
e 13
 
9.2%
s 11
 
7.8%
k 10
 
7.1%
a 10
 
7.1%
b 10
 
7.1%
u 10
 
7.1%
i 8
 
5.7%
n 7
 
5.0%
r 6
 
4.3%
Other values (11) 33
23.4%
Other Punctuation
ValueCountFrequency (%)
& 54
84.4%
. 6
 
9.4%
@ 2
 
3.1%
, 1
 
1.6%
＆ 1
 
1.6%
Decimal Number
ValueCountFrequency (%)
2 90
49.7%
1 88
48.6%
0 2
 
1.1%
4 1
 
0.6%
Space Separator
ValueCountFrequency (%)
347
100.0%
Close Punctuation
ValueCountFrequency (%)
) 21
100.0%
Open Punctuation
ValueCountFrequency (%)
( 20
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 23723
96.1%
Common 638
 
2.6%
Latin 328
 
1.3%
Han 5
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 1997
 
8.4%
문 893
 
3.8%
스 672
 
2.8%
판 590
 
2.5%
출 588
 
2.5%
한 434
 
1.8%
북 400
 
1.7%
학 380
 
1.6%
원 316
 
1.3%
동 293
 
1.2%
Other values (513) 17160
72.3%
Latin
ValueCountFrequency (%)
B 57
17.4%
M 51
15.5%
o 23
 
7.0%
e 13
 
4.0%
s 11
 
3.4%
k 10
 
3.0%
a 10
 
3.0%
b 10
 
3.0%
u 10
 
3.0%
i 8
 
2.4%
Other values (33) 125
38.1%
Common
ValueCountFrequency (%)
347
54.4%
2 90
 
14.1%
1 88
 
13.8%
& 54
 
8.5%
) 21
 
3.3%
( 20
 
3.1%
. 6
 
0.9%
- 4
 
0.6%
0 2
 
0.3%
@ 2
 
0.3%
Other values (4) 4
 
0.6%
Han
ValueCountFrequency (%)
社 1
20.0%
螢 1
20.0%
雪 1
20.0%
出 1
20.0%
版 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 23721
96.1%
ASCII 965
 
3.9%
CJK 5
 
< 0.1%
None 3
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 1997
 
8.4%
문 893
 
3.8%
스 672
 
2.8%
판 590
 
2.5%
출 588
 
2.5%
한 434
 
1.8%
북 400
 
1.7%
학 380
 
1.6%
원 316
 
1.3%
동 293
 
1.2%
Other values (512) 17158
72.3%
ASCII
ValueCountFrequency (%)
347
36.0%
2 90
 
9.3%
1 88
 
9.1%
B 57
 
5.9%
& 54
 
5.6%
M 51
 
5.3%
o 23
 
2.4%
) 21
 
2.2%
( 20
 
2.1%
e 13
 
1.3%
Other values (46) 201
20.8%
None
ValueCountFrequency (%)
㈜ 2
66.7%
＆ 1
33.3%
CJK
ValueCountFrequency (%)
社 1
20.0%
螢 1
20.0%
雪 1
20.0%
出 1
20.0%
版 1
20.0%

출판일
Date

MISSING 

Distinct748
Distinct (%)14.1%
Missing650
Missing (%)10.9%
Memory size46.7 KiB
Minimum1961-12-01 00:00:00
Maximum2020-03-01 00:00:00
2023-12-13T09:59:21.986457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:59:22.096846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

구입가격
Real number (ℝ)

ZEROS 

Distinct245
Distinct (%)4.1%
Missing26
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean11149.983
Minimum0
Maximum700000
Zeros601
Zeros (%)10.1%
Negative0
Negative (%)0.0%
Memory size52.5 KiB
2023-12-13T09:59:22.231106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15500
median8500
Q312000
95-th percentile20000
Maximum700000
Range700000
Interquartile range (IQR)6500

Descriptive statistics

Standard deviation20586.207
Coefficient of variation (CV)1.8462994
Kurtosis271.15111
Mean11149.983
Median Absolute Deviation (MAD)3500
Skewness12.656793
Sum66108251
Variance4.2379192 × 108
MonotonicityNot monotonic
2023-12-13T09:59:22.339391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 601
 
10.1%
12000 446
 
7.5%
10000 358
 
6.0%
8000 254
 
4.3%
7000 252
 
4.2%
6000 231
 
3.9%
9000 219
 
3.7%
7500 187
 
3.1%
6500 181
 
3.0%
5000 178
 
3.0%
Other values (235) 3022
50.7%
ValueCountFrequency (%)
0 601
10.1%
900 1
 
< 0.1%
1000 3
 
0.1%
1400 1
 
< 0.1%
1500 1
 
< 0.1%
2000 27
 
0.5%
2300 1
 
< 0.1%
2400 1
 
< 0.1%
2500 28
 
0.5%
2800 6
 
0.1%
ValueCountFrequency (%)
700000 1
 
< 0.1%
250000 15
0.3%
240000 1
 
< 0.1%
200000 1
 
< 0.1%
196000 1
 
< 0.1%
175000 2
 
< 0.1%
170000 2
 
< 0.1%
160000 6
 
0.1%
150000 3
 
0.1%
140000 5
 
0.1%

비고
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size46.7 KiB
사용가능
3064 
이관/폐기
2891 

Length

Max length5
Median length4
Mean length4.4854744
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row이관/폐기
2nd row사용가능
3rd row이관/폐기
4th row이관/폐기
5th row사용가능

Common Values

ValueCountFrequency (%)
사용가능 3064
51.5%
이관/폐기 2891
48.5%

Length

2023-12-13T09:59:22.450431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T09:59:22.525424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사용가능 3064
51.5%
이관/폐기 2891
48.5%

Interactions

2023-12-13T09:59:19.066131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:59:18.887809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:59:19.157759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:59:18.983902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T09:59:22.572087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
도서분류청구기호구입가격비고
도서분류1.0000.7530.3550.210
청구기호0.7531.0000.0360.202
구입가격0.3550.0361.0000.051
비고0.2100.2020.0511.000
2023-12-13T09:59:22.639169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
비고도서분류
비고1.0000.161
도서분류0.1611.000
2023-12-13T09:59:22.702924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
청구기호구입가격도서분류비고
청구기호1.000-0.0740.5620.134
구입가격-0.0741.0000.1550.062
도서분류0.5620.1551.0000.161
비고0.1340.0620.1611.000

Missing values

2023-12-13T09:59:19.257790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T09:59:19.350847image/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.
2023-12-13T09:59:19.443826image/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

도서분류청구기호도서명저자출판사출판일구입가격비고
0사회과학349.42강대국의 유혹로널드 스틸한울1996-07-016000이관/폐기
1사회과학349.911김정일 코드브루스 커밍스따뜻한손2005-04-0114500사용가능
2사회과학350.0딜레마와 행정윤견수 외3인나남출판2000-03-0112000이관/폐기
3사회과학350.0멀티미디어 시대의 행정정충식나남출판1999-03-019000이관/폐기
4사회과학350.0한국행정의 쇄신사례박동서법문사1999-02-0119000사용가능
5사회과학350.0행정 서비스의 혁신유해운, 오창택선학사2002-09-017500사용가능
6사회과학350.2한국관료제의 이해박천오, 박경효법문사1996-07-0116000사용가능
7사회과학350.2행정조직의 이해이평원책과공간2000-03-0115000사용가능
8사회과학350.2대통령학함성득나남출판1999-03-0112000이관/폐기
9사회과학350.21일류공무원 삼류행정박상건창공사1995-11-016000이관/폐기
도서분류청구기호도서명저자출판사출판일구입가격비고
5945사회과학<NA>완벽한 강의의 법칙김인희한국경제신문<NA>0사용가능
5946문학<NA>윤태영의 좋은 문장론윤태영위즈덤하우스<NA>0이관/폐기
5947사회과학<NA>세계 최고의 교육법류선정 등이마<NA>0이관/폐기
5948기술과학598.1중국 3천년, 명문가의 자녀교육법김영수스마트비지니스<NA>0이관/폐기
5949사회과학370.23같이 읽자, 교육법정성식에듀니티<NA>0이관/폐기
5950사회과학<NA>학교와 교육법조석훈교육과학사<NA>0이관/폐기
5951문학899.0어떻게 미래인재로 키울것인가주기곤벗나래<NA>0이관/폐기
5952사회과학<NA>트리비움 일상 수업장대은평단<NA>0이관/폐기
5953사회과학<NA>질문하고 대화하는 하브루타 독서법양동일,김정완예문<NA>0이관/폐기
5954사회과학<NA>질문이 살아있는 수업김현섭수업디자인연구소<NA>0이관/폐기

Duplicate rows

Most frequently occurring

도서분류청구기호도서명저자출판사출판일구입가격비고# duplicates
89총류31.0동아원색세계대백과사전동아출판사동아출판사1989-05-010이관/폐기30
20사회과학301.0이데올로기와 민중혁명이무웅고려원1989-10-012000이관/폐기18
46사회과학331.18직장인을 위한 인간관계사례연구김재환지방시대사1989-06-014300이관/폐기18
19문학<NA>공무원 덕림씨최덕림컬쳐코드2017-01-010사용가능7
29사회과학325.04창조적 인재의 5가지 얼굴안네트 모저 웰만예문2007-11-0112000사용가능7
37사회과학325.1창조력 107의 법칙한국인재경영연구회경영자료사2008-03-0112800사용가능7
39사회과학325.3GE의 핵심인재는 어떻게 단련되는가심재우스마트비즈니스2006-08-0111000사용가능7
42사회과학325.37밥 파이크의 창의적 교수법밥 파이크김영사2007-10-0116900사용가능7
36사회과학325.1스티브 잡스의 창조 카리스마김영한리더스북2008-01-0111000사용가능6
38사회과학325.2창조 DNA를 이식하라게리 닐슨, 브루스 패프터낵21세기북스2007-05-0125000사용가능6