Overview

Dataset statistics

Number of variables8
Number of observations1607
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory108.4 KiB
Average record size in memory69.1 B

Variable types

Numeric4
Text3
Categorical1

Dataset

Description경상북도교육청 구미도서관 희망도서 구입정보(제목, 저작자, 빌행자, 발행년도, 권수, 단가, 금액)등의 정보를 제공합니다.
Author경상북도교육청 경상북도교육청구미도서관
URLhttps://www.data.go.kr/data/3068859/fileData.do

Alerts

합계 is highly overall correlated with 수량High correlation
수량 is highly overall correlated with 합계High correlation
번호 has unique valuesUnique

Reproduction

Analysis started2024-04-29 23:22:24.362207
Analysis finished2024-04-29 23:22:28.759750
Duration4.4 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct1607
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean804
Minimum1
Maximum1607
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size14.3 KiB
2024-04-30T08:22:28.830131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile81.3
Q1402.5
median804
Q31205.5
95-th percentile1526.7
Maximum1607
Range1606
Interquartile range (IQR)803

Descriptive statistics

Standard deviation464.04526
Coefficient of variation (CV)0.57717072
Kurtosis-1.2
Mean804
Median Absolute Deviation (MAD)402
Skewness0
Sum1292028
Variance215338
MonotonicityStrictly increasing
2024-04-30T08:22:28.996524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
1069 1
 
0.1%
1079 1
 
0.1%
1078 1
 
0.1%
1077 1
 
0.1%
1076 1
 
0.1%
1075 1
 
0.1%
1074 1
 
0.1%
1073 1
 
0.1%
1072 1
 
0.1%
Other values (1597) 1597
99.4%
ValueCountFrequency (%)
1 1
0.1%
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%
ValueCountFrequency (%)
1607 1
0.1%
1606 1
0.1%
1605 1
0.1%
1604 1
0.1%
1603 1
0.1%
1602 1
0.1%
1601 1
0.1%
1600 1
0.1%
1599 1
0.1%
1598 1
0.1%

서명
Text

Distinct1605
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Memory size12.7 KiB
2024-04-30T08:22:29.315433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length33
Mean length13.898569
Min length1

Characters and Unicode

Total characters22335
Distinct characters969
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1603 ?
Unique (%)99.8%

Sample

1st row가장 쉬운 독학 노션 첫걸음
2nd row가장 쉬운 AI<인공지능> 입문서
3rd row라이브러리 티티섬이 문을 열기까지
4th row모의 해킹으로 알아보는 리눅스 서버 해킹과 보안
5th row샘 올트먼의 생각들
ValueCountFrequency (%)
2 78
 
1.3%
1 75
 
1.2%
3 44
 
0.7%
5 27
 
0.4%
나는 25
 
0.4%
4 24
 
0.4%
위한 24
 
0.4%
비밀 22
 
0.4%
이야기 22
 
0.4%
21
 
0.3%
Other values (3882) 5804
94.1%
2024-04-30T08:22:29.771410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4559
 
20.4%
476
 
2.1%
472
 
2.1%
317
 
1.4%
: 244
 
1.1%
236
 
1.1%
233
 
1.0%
225
 
1.0%
220
 
1.0%
200
 
0.9%
Other values (959) 15153
67.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 16033
71.8%
Space Separator 4559
 
20.4%
Decimal Number 684
 
3.1%
Other Punctuation 460
 
2.1%
Uppercase Letter 226
 
1.0%
Lowercase Letter 215
 
1.0%
Close Punctuation 67
 
0.3%
Open Punctuation 67
 
0.3%
Math Symbol 14
 
0.1%
Dash Punctuation 7
 
< 0.1%
Other values (2) 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
476
 
3.0%
472
 
2.9%
317
 
2.0%
236
 
1.5%
233
 
1.5%
225
 
1.4%
220
 
1.4%
200
 
1.2%
191
 
1.2%
185
 
1.2%
Other values (883) 13278
82.8%
Uppercase Letter
ValueCountFrequency (%)
T 27
 
11.9%
A 18
 
8.0%
G 17
 
7.5%
C 16
 
7.1%
P 15
 
6.6%
H 15
 
6.6%
I 13
 
5.8%
V 12
 
5.3%
S 12
 
5.3%
B 10
 
4.4%
Other values (15) 71
31.4%
Lowercase Letter
ValueCountFrequency (%)
o 35
16.3%
e 26
12.1%
r 22
10.2%
a 21
9.8%
d 13
 
6.0%
v 13
 
6.0%
s 12
 
5.6%
i 12
 
5.6%
n 9
 
4.2%
t 8
 
3.7%
Other values (11) 44
20.5%
Decimal Number
ValueCountFrequency (%)
1 175
25.6%
2 162
23.7%
0 81
11.8%
3 73
10.7%
4 55
 
8.0%
5 47
 
6.9%
6 31
 
4.5%
8 24
 
3.5%
9 20
 
2.9%
7 16
 
2.3%
Other Punctuation
ValueCountFrequency (%)
: 244
53.0%
, 100
21.7%
! 66
 
14.3%
? 37
 
8.0%
. 7
 
1.5%
' 3
 
0.7%
· 2
 
0.4%
& 1
 
0.2%
Math Symbol
ValueCountFrequency (%)
~ 11
78.6%
< 1
 
7.1%
> 1
 
7.1%
+ 1
 
7.1%
Close Punctuation
ValueCountFrequency (%)
) 66
98.5%
] 1
 
1.5%
Open Punctuation
ValueCountFrequency (%)
( 66
98.5%
[ 1
 
1.5%
Space Separator
ValueCountFrequency (%)
4559
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Final Punctuation
ValueCountFrequency (%)
2
100.0%
Initial Punctuation
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 16033
71.8%
Common 5861
 
26.2%
Latin 441
 
2.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
476
 
3.0%
472
 
2.9%
317
 
2.0%
236
 
1.5%
233
 
1.5%
225
 
1.4%
220
 
1.4%
200
 
1.2%
191
 
1.2%
185
 
1.2%
Other values (883) 13278
82.8%
Latin
ValueCountFrequency (%)
o 35
 
7.9%
T 27
 
6.1%
e 26
 
5.9%
r 22
 
5.0%
a 21
 
4.8%
A 18
 
4.1%
G 17
 
3.9%
C 16
 
3.6%
P 15
 
3.4%
H 15
 
3.4%
Other values (36) 229
51.9%
Common
ValueCountFrequency (%)
4559
77.8%
: 244
 
4.2%
1 175
 
3.0%
2 162
 
2.8%
, 100
 
1.7%
0 81
 
1.4%
3 73
 
1.2%
! 66
 
1.1%
) 66
 
1.1%
( 66
 
1.1%
Other values (20) 269
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 16030
71.8%
ASCII 6297
 
28.2%
Compat Jamo 3
 
< 0.1%
Punctuation 3
 
< 0.1%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4559
72.4%
: 244
 
3.9%
1 175
 
2.8%
2 162
 
2.6%
, 100
 
1.6%
0 81
 
1.3%
3 73
 
1.2%
! 66
 
1.0%
) 66
 
1.0%
( 66
 
1.0%
Other values (63) 705
 
11.2%
Hangul
ValueCountFrequency (%)
476
 
3.0%
472
 
2.9%
317
 
2.0%
236
 
1.5%
233
 
1.5%
225
 
1.4%
220
 
1.4%
200
 
1.2%
191
 
1.2%
185
 
1.2%
Other values (882) 13275
82.8%
Compat Jamo
ValueCountFrequency (%)
3
100.0%
None
ValueCountFrequency (%)
· 2
100.0%
Punctuation
ValueCountFrequency (%)
2
66.7%
1
33.3%

저자
Text

Distinct1406
Distinct (%)87.5%
Missing0
Missing (%)0.0%
Memory size12.7 KiB
2024-04-30T08:22:30.072757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length62
Median length3
Mean length5.6969508
Min length2

Characters and Unicode

Total characters9155
Distinct characters611
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

Unique1272 ?
Unique (%)79.2%

Sample

1st row원정민
2nd row오니시 가나코
3rd row문기원, 도서문화재단 씨앗
4th row장상근,박진산
5th row스탠리 최,앤디 정,제임스 정,최동녘
ValueCountFrequency (%)
박혜정 12
 
0.5%
편집부 9
 
0.4%
웨스트 7
 
0.3%
김언정 7
 
0.3%
트레이시 7
 
0.3%
조영선 6
 
0.3%
에린 5
 
0.2%
story 5
 
0.2%
j 5
 
0.2%
5
 
0.2%
Other values (1871) 2192
97.0%
2024-04-30T08:22:30.568526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
653
 
7.1%
, 401
 
4.4%
331
 
3.6%
252
 
2.8%
184
 
2.0%
170
 
1.9%
169
 
1.8%
121
 
1.3%
119
 
1.3%
110
 
1.2%
Other values (601) 6645
72.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7768
84.8%
Space Separator 653
 
7.1%
Other Punctuation 421
 
4.6%
Lowercase Letter 142
 
1.6%
Uppercase Letter 99
 
1.1%
Open Punctuation 26
 
0.3%
Close Punctuation 26
 
0.3%
Decimal Number 13
 
0.1%
Dash Punctuation 5
 
0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
331
 
4.3%
252
 
3.2%
184
 
2.4%
170
 
2.2%
169
 
2.2%
121
 
1.6%
119
 
1.5%
110
 
1.4%
106
 
1.4%
92
 
1.2%
Other values (538) 6114
78.7%
Lowercase Letter
ValueCountFrequency (%)
a 25
17.6%
o 13
9.2%
r 12
 
8.5%
t 10
 
7.0%
n 10
 
7.0%
i 10
 
7.0%
e 8
 
5.6%
m 8
 
5.6%
y 8
 
5.6%
s 7
 
4.9%
Other values (12) 31
21.8%
Uppercase Letter
ValueCountFrequency (%)
T 12
 
12.1%
S 10
 
10.1%
R 7
 
7.1%
L 7
 
7.1%
O 6
 
6.1%
M 6
 
6.1%
G 5
 
5.1%
D 5
 
5.1%
J 5
 
5.1%
C 4
 
4.0%
Other values (12) 32
32.3%
Decimal Number
ValueCountFrequency (%)
2 4
30.8%
3 2
15.4%
1 2
15.4%
5 1
 
7.7%
4 1
 
7.7%
0 1
 
7.7%
7 1
 
7.7%
9 1
 
7.7%
Other Punctuation
ValueCountFrequency (%)
, 401
95.2%
. 19
 
4.5%
/ 1
 
0.2%
Open Punctuation
ValueCountFrequency (%)
( 25
96.2%
1
 
3.8%
Close Punctuation
ValueCountFrequency (%)
) 25
96.2%
1
 
3.8%
Math Symbol
ValueCountFrequency (%)
< 1
50.0%
> 1
50.0%
Space Separator
ValueCountFrequency (%)
653
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7765
84.8%
Common 1146
 
12.5%
Latin 241
 
2.6%
Han 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
331
 
4.3%
252
 
3.2%
184
 
2.4%
170
 
2.2%
169
 
2.2%
121
 
1.6%
119
 
1.5%
110
 
1.4%
106
 
1.4%
92
 
1.2%
Other values (535) 6111
78.7%
Latin
ValueCountFrequency (%)
a 25
 
10.4%
o 13
 
5.4%
T 12
 
5.0%
r 12
 
5.0%
S 10
 
4.1%
t 10
 
4.1%
n 10
 
4.1%
i 10
 
4.1%
e 8
 
3.3%
m 8
 
3.3%
Other values (34) 123
51.0%
Common
ValueCountFrequency (%)
653
57.0%
, 401
35.0%
( 25
 
2.2%
) 25
 
2.2%
. 19
 
1.7%
- 5
 
0.4%
2 4
 
0.3%
3 2
 
0.2%
1 2
 
0.2%
/ 1
 
0.1%
Other values (9) 9
 
0.8%
Han
ValueCountFrequency (%)
1
33.3%
1
33.3%
1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7765
84.8%
ASCII 1385
 
15.1%
CJK 3
 
< 0.1%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
653
47.1%
, 401
29.0%
a 25
 
1.8%
( 25
 
1.8%
) 25
 
1.8%
. 19
 
1.4%
o 13
 
0.9%
T 12
 
0.9%
r 12
 
0.9%
S 10
 
0.7%
Other values (51) 190
 
13.7%
Hangul
ValueCountFrequency (%)
331
 
4.3%
252
 
3.2%
184
 
2.4%
170
 
2.2%
169
 
2.2%
121
 
1.6%
119
 
1.5%
110
 
1.4%
106
 
1.4%
92
 
1.2%
Other values (535) 6111
78.7%
CJK
ValueCountFrequency (%)
1
33.3%
1
33.3%
1
33.3%
None
ValueCountFrequency (%)
1
50.0%
1
50.0%
Distinct733
Distinct (%)45.6%
Missing0
Missing (%)0.0%
Memory size12.7 KiB
2024-04-30T08:22:30.917817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length16
Mean length4.4100809
Min length1

Characters and Unicode

Total characters7087
Distinct characters505
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique455 ?
Unique (%)28.3%

Sample

1st row동양북스
2nd row아티오
3rd row리브랩
4th row길벗
5th row여의도책방
ValueCountFrequency (%)
아울북 35
 
2.1%
위즈덤하우스 27
 
1.7%
창비 24
 
1.5%
미래엔아이세움 24
 
1.5%
다산어린이 24
 
1.5%
주니어김영사 24
 
1.5%
문학동네 18
 
1.1%
휴먼어린이 17
 
1.0%
비룡소 16
 
1.0%
서울문화사 15
 
0.9%
Other values (734) 1409
86.3%
2024-04-30T08:22:31.473120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
332
 
4.7%
244
 
3.4%
233
 
3.3%
203
 
2.9%
181
 
2.6%
133
 
1.9%
109
 
1.5%
92
 
1.3%
91
 
1.3%
89
 
1.3%
Other values (495) 5380
75.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6719
94.8%
Uppercase Letter 168
 
2.4%
Lowercase Letter 73
 
1.0%
Decimal Number 36
 
0.5%
Close Punctuation 32
 
0.5%
Open Punctuation 32
 
0.5%
Space Separator 26
 
0.4%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
332
 
4.9%
244
 
3.6%
233
 
3.5%
203
 
3.0%
181
 
2.7%
133
 
2.0%
109
 
1.6%
92
 
1.4%
91
 
1.4%
89
 
1.3%
Other values (446) 5012
74.6%
Uppercase Letter
ValueCountFrequency (%)
K 25
14.9%
O 24
14.3%
B 23
13.7%
S 18
10.7%
R 14
8.3%
I 9
 
5.4%
H 9
 
5.4%
F 7
 
4.2%
A 6
 
3.6%
E 6
 
3.6%
Other values (12) 27
16.1%
Lowercase Letter
ValueCountFrequency (%)
o 10
13.7%
e 10
13.7%
d 8
11.0%
a 5
6.8%
i 5
6.8%
k 5
6.8%
s 5
6.8%
r 5
6.8%
n 4
 
5.5%
l 4
 
5.5%
Other values (6) 12
16.4%
Decimal Number
ValueCountFrequency (%)
1 15
41.7%
2 11
30.6%
6 3
 
8.3%
0 3
 
8.3%
7 2
 
5.6%
9 1
 
2.8%
3 1
 
2.8%
Close Punctuation
ValueCountFrequency (%)
) 32
100.0%
Open Punctuation
ValueCountFrequency (%)
( 32
100.0%
Space Separator
ValueCountFrequency (%)
26
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6719
94.8%
Latin 241
 
3.4%
Common 127
 
1.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
332
 
4.9%
244
 
3.6%
233
 
3.5%
203
 
3.0%
181
 
2.7%
133
 
2.0%
109
 
1.6%
92
 
1.4%
91
 
1.4%
89
 
1.3%
Other values (446) 5012
74.6%
Latin
ValueCountFrequency (%)
K 25
 
10.4%
O 24
 
10.0%
B 23
 
9.5%
S 18
 
7.5%
R 14
 
5.8%
o 10
 
4.1%
e 10
 
4.1%
I 9
 
3.7%
H 9
 
3.7%
d 8
 
3.3%
Other values (28) 91
37.8%
Common
ValueCountFrequency (%)
) 32
25.2%
( 32
25.2%
26
20.5%
1 15
11.8%
2 11
 
8.7%
6 3
 
2.4%
0 3
 
2.4%
7 2
 
1.6%
9 1
 
0.8%
3 1
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6719
94.8%
ASCII 368
 
5.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
332
 
4.9%
244
 
3.6%
233
 
3.5%
203
 
3.0%
181
 
2.7%
133
 
2.0%
109
 
1.6%
92
 
1.4%
91
 
1.4%
89
 
1.3%
Other values (446) 5012
74.6%
ASCII
ValueCountFrequency (%)
) 32
 
8.7%
( 32
 
8.7%
26
 
7.1%
K 25
 
6.8%
O 24
 
6.5%
B 23
 
6.2%
S 18
 
4.9%
1 15
 
4.1%
R 14
 
3.8%
2 11
 
3.0%
Other values (39) 148
40.2%

출판년
Real number (ℝ)

Distinct7
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2022.9154
Minimum2001
Maximum2024
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size14.3 KiB
2024-04-30T08:22:31.621190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2001
5-th percentile2020
Q12023
median2023
Q32024
95-th percentile2024
Maximum2024
Range23
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.3110533
Coefficient of variation (CV)0.00064810091
Kurtosis49.308178
Mean2022.9154
Median Absolute Deviation (MAD)1
Skewness-4.0496824
Sum3250825
Variance1.7188607
MonotonicityNot monotonic
2024-04-30T08:22:31.758955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
2023 715
44.5%
2024 558
34.7%
2022 140
 
8.7%
2021 91
 
5.7%
2020 58
 
3.6%
2019 44
 
2.7%
2001 1
 
0.1%
ValueCountFrequency (%)
2001 1
 
0.1%
2019 44
 
2.7%
2020 58
 
3.6%
2021 91
 
5.7%
2022 140
 
8.7%
2023 715
44.5%
2024 558
34.7%
ValueCountFrequency (%)
2024 558
34.7%
2023 715
44.5%
2022 140
 
8.7%
2021 91
 
5.7%
2020 58
 
3.6%
2019 44
 
2.7%
2001 1
 
0.1%

정가
Real number (ℝ)

Distinct85
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17392.906
Minimum6000
Maximum45000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size14.3 KiB
2024-04-30T08:22:31.981221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6000
5-th percentile12000
Q114000
median16800
Q319000
95-th percentile26850
Maximum45000
Range39000
Interquartile range (IQR)5000

Descriptive statistics

Standard deviation4838.2157
Coefficient of variation (CV)0.27817178
Kurtosis5.4058907
Mean17392.906
Median Absolute Deviation (MAD)2300
Skewness1.7924813
Sum27950400
Variance23408331
MonotonicityNot monotonic
2024-04-30T08:22:32.255976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15000 191
 
11.9%
18000 148
 
9.2%
13000 116
 
7.2%
14000 101
 
6.3%
17000 98
 
6.1%
16800 80
 
5.0%
12000 80
 
5.0%
20000 62
 
3.9%
16000 61
 
3.8%
22000 60
 
3.7%
Other values (75) 610
38.0%
ValueCountFrequency (%)
6000 1
 
0.1%
6800 1
 
0.1%
7000 6
0.4%
8000 1
 
0.1%
9000 2
 
0.1%
9500 4
0.2%
9900 1
 
0.1%
10000 9
0.6%
10500 1
 
0.1%
10800 1
 
0.1%
ValueCountFrequency (%)
45000 3
 
0.2%
43500 1
 
0.1%
43000 2
 
0.1%
40000 1
 
0.1%
39500 2
 
0.1%
38000 3
 
0.2%
36000 2
 
0.1%
35000 9
0.6%
34000 1
 
0.1%
33000 4
0.2%

수량
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.7 KiB
1
1100 
2
507 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 1100
68.5%
2 507
31.5%

Length

2024-04-30T08:22:32.537627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T08:22:32.756363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 1100
68.5%
2 507
31.5%

합계
Real number (ℝ)

HIGH CORRELATION 

Distinct104
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22079.527
Minimum6800
Maximum60000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size14.3 KiB
2024-04-30T08:22:33.037624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6800
5-th percentile13000
Q116800
median19800
Q328000
95-th percentile34000
Maximum60000
Range53200
Interquartile range (IQR)11200

Descriptive statistics

Standard deviation7390.1661
Coefficient of variation (CV)0.33470672
Kurtosis1.2624423
Mean22079.527
Median Absolute Deviation (MAD)4800
Skewness0.94830353
Sum35481800
Variance54614556
MonotonicityNot monotonic
2024-04-30T08:22:33.304785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
18000 131
 
8.2%
30000 106
 
6.6%
15000 95
 
5.9%
26000 85
 
5.3%
28000 80
 
5.0%
17000 75
 
4.7%
22000 64
 
4.0%
20000 61
 
3.8%
24000 59
 
3.7%
16800 48
 
3.0%
Other values (94) 803
50.0%
ValueCountFrequency (%)
6800 1
 
0.1%
7000 3
 
0.2%
8000 1
 
0.1%
9000 2
 
0.1%
9500 2
 
0.1%
9900 1
 
0.1%
10000 6
 
0.4%
10500 1
 
0.1%
11000 3
 
0.2%
12000 36
2.2%
ValueCountFrequency (%)
60000 1
 
0.1%
58000 1
 
0.1%
54000 2
0.1%
52000 1
 
0.1%
50000 4
0.2%
49600 1
 
0.1%
48000 2
0.1%
45000 3
0.2%
44000 4
0.2%
43500 1
 
0.1%

Interactions

2024-04-30T08:22:28.159735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T08:22:26.927791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T08:22:27.398399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T08:22:27.779144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T08:22:28.251561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T08:22:27.090295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T08:22:27.508494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T08:22:27.881579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T08:22:28.368041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T08:22:27.186327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T08:22:27.593333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T08:22:27.976964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T08:22:28.463637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T08:22:27.301402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T08:22:27.687274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T08:22:28.071708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-30T08:22:33.843157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호출판년정가수량합계
번호1.0000.0870.1860.3370.226
출판년0.0871.0000.2150.0280.182
정가0.1860.2151.0000.5330.881
수량0.3370.0280.5331.0000.931
합계0.2260.1820.8810.9311.000
2024-04-30T08:22:33.998538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호출판년정가합계수량
번호1.0000.211-0.0420.0350.258
출판년0.2111.0000.1420.1480.043
정가-0.0420.1421.0000.2850.410
합계0.0350.1480.2851.0000.777
수량0.2580.0430.4100.7771.000

Missing values

2024-04-30T08:22:28.586324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-30T08:22:28.704789image/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

번호서명저자출판사출판년정가수량합계
01가장 쉬운 독학 노션 첫걸음원정민동양북스202319800119800
12가장 쉬운 AI<인공지능> 입문서오니시 가나코아티오201915000115000
23라이브러리 티티섬이 문을 열기까지문기원, 도서문화재단 씨앗리브랩202320000120000
34모의 해킹으로 알아보는 리눅스 서버 해킹과 보안장상근,박진산길벗202330000130000
45샘 올트먼의 생각들스탠리 최,앤디 정,제임스 정,최동녘여의도책방202319000119000
56혼자 공부하는 SQL우재남한빛미디어202124000124000
67IT 세계의 괴물들(아무나 이해할 수 있는 IT 이야기)아무준수생능북스202419800119800
78가끔 찬란하고 자주 우울한경조울북하우스202316800116800
89가르침과 배움조지 스타이너서커스(서커스출판상회)202116000116000
910감정에 휘둘리는 당신을 위한 심리수업김세정메이트북스202115000115000
번호서명저자출판사출판년정가수량합계
15971598타키 포오 얼렁뚱땅 상식스쿨 3캐리온TV대원키즈202414000228000
15981599풀벌레그림꿈서현사계절202418000236000
15991600프린들 주세요앤드루 클레먼츠사계절2001950019500
16001601하늘 배달부 모몽씨와 나뭇잎 우체국후쿠자와 유미코웅진주니어202415000230000
16011602하늘에서 떨어진 아이전미화문학과지성사202417000234000
16021603해가 늦게 뜨는 아침필립 C. 스테드주니어RHK202415000230000
16031604환생학교 요괴반 1구름길미래엔아이세움202314500229000
16041605환생학교 요괴반 2윤종문미래엔아이세움202314500229000
16051606환생학교 요괴반 3윤종문미래엔아이세움202414500229000
16061607흡혈귀 탐정 클럽 3: 사건파일 (3) 꿈꾸는 괴물들의 밤한주이위즈덤하우스202315000115000