Overview

Dataset statistics

Number of variables10
Number of observations680
Missing cells1
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory57.2 KiB
Average record size in memory86.2 B

Variable types

Numeric6
Categorical1
Text3

Dataset

Description충청남도 보령시립도서관의 2023년도 희망도서 구입목록 데이터입니다. 구입 월, 구분(성인/아동), 분류, 도서명, 저자명, 발행자, 단가, 수량, 금액 정보를 제공합니다. (기존 보령시 중앙도서관의 명칭이 "보령시립도서관"으로 변경되었습니다.)
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=97&beforeMenuCd=DOM_000000201001001000&publicdatapk=15104393

Alerts

연번 is highly overall correlated with 구입 월High correlation
구입 월 is highly overall correlated with 연번High correlation
단가 is highly overall correlated with 금액High correlation
금액 is highly overall correlated with 단가High correlation
연번 has unique valuesUnique
분류 has 10 (1.5%) zerosZeros

Reproduction

Analysis started2024-01-09 20:48:24.999906
Analysis finished2024-01-09 20:48:29.449866
Duration4.45 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct680
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean340.5
Minimum1
Maximum680
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.1 KiB
2024-01-10T05:48:29.511053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile34.95
Q1170.75
median340.5
Q3510.25
95-th percentile646.05
Maximum680
Range679
Interquartile range (IQR)339.5

Descriptive statistics

Standard deviation196.44338
Coefficient of variation (CV)0.57692621
Kurtosis-1.2
Mean340.5
Median Absolute Deviation (MAD)170
Skewness0
Sum231540
Variance38590
MonotonicityStrictly increasing
2024-01-10T05:48:29.633391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
458 1
 
0.1%
450 1
 
0.1%
451 1
 
0.1%
452 1
 
0.1%
453 1
 
0.1%
454 1
 
0.1%
455 1
 
0.1%
456 1
 
0.1%
457 1
 
0.1%
Other values (670) 670
98.5%
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 (%)
680 1
0.1%
679 1
0.1%
678 1
0.1%
677 1
0.1%
676 1
0.1%
675 1
0.1%
674 1
0.1%
673 1
0.1%
672 1
0.1%
671 1
0.1%

구입 월
Real number (ℝ)

HIGH CORRELATION 

Distinct11
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.6294118
Minimum1
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.1 KiB
2024-01-10T05:48:29.739774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median6
Q311
95-th percentile12
Maximum12
Range11
Interquartile range (IQR)7

Descriptive statistics

Standard deviation3.807328
Coefficient of variation (CV)0.57430857
Kurtosis-1.4252692
Mean6.6294118
Median Absolute Deviation (MAD)4
Skewness0.1349775
Sum4508
Variance14.495746
MonotonicityIncreasing
2024-01-10T05:48:29.827068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
4 107
15.7%
12 105
15.4%
11 95
14.0%
5 68
10.0%
2 65
9.6%
1 57
8.4%
7 47
6.9%
8 39
 
5.7%
3 33
 
4.9%
6 33
 
4.9%
ValueCountFrequency (%)
1 57
8.4%
2 65
9.6%
3 33
 
4.9%
4 107
15.7%
5 68
10.0%
6 33
 
4.9%
7 47
6.9%
8 39
 
5.7%
10 31
 
4.6%
11 95
14.0%
ValueCountFrequency (%)
12 105
15.4%
11 95
14.0%
10 31
 
4.6%
8 39
 
5.7%
7 47
6.9%
6 33
 
4.9%
5 68
10.0%
4 107
15.7%
3 33
 
4.9%
2 65
9.6%

구분
Categorical

Distinct4
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
일반
510 
아동
121 
유아
 
35
청소년
 
14

Length

Max length3
Median length2
Mean length2.0205882
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row일반
2nd row일반
3rd row아동
4th row아동
5th row일반

Common Values

ValueCountFrequency (%)
일반 510
75.0%
아동 121
 
17.8%
유아 35
 
5.1%
청소년 14
 
2.1%

Length

2024-01-10T05:48:29.924318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:48:30.014643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반 510
75.0%
아동 121
 
17.8%
유아 35
 
5.1%
청소년 14
 
2.1%

분류
Real number (ℝ)

ZEROS 

Distinct10
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean590.14706
Minimum0
Maximum900
Zeros10
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size6.1 KiB
2024-01-10T05:48:30.099165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile100
Q1300
median800
Q3800
95-th percentile900
Maximum900
Range900
Interquartile range (IQR)500

Descriptive statistics

Standard deviation271.04767
Coefficient of variation (CV)0.45928836
Kurtosis-1.1013725
Mean590.14706
Median Absolute Deviation (MAD)0
Skewness-0.65349203
Sum401300
Variance73466.841
MonotonicityNot monotonic
2024-01-10T05:48:30.200060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
800 343
50.4%
300 118
 
17.4%
100 65
 
9.6%
500 48
 
7.1%
900 37
 
5.4%
400 32
 
4.7%
600 20
 
2.9%
0 10
 
1.5%
200 4
 
0.6%
700 3
 
0.4%
ValueCountFrequency (%)
0 10
 
1.5%
100 65
 
9.6%
200 4
 
0.6%
300 118
 
17.4%
400 32
 
4.7%
500 48
 
7.1%
600 20
 
2.9%
700 3
 
0.4%
800 343
50.4%
900 37
 
5.4%
ValueCountFrequency (%)
900 37
 
5.4%
800 343
50.4%
700 3
 
0.4%
600 20
 
2.9%
500 48
 
7.1%
400 32
 
4.7%
300 118
 
17.4%
200 4
 
0.6%
100 65
 
9.6%
0 10
 
1.5%

도서명
Text

Distinct679
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
2024-01-10T05:48:30.515826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length67
Median length28
Mean length12.072059
Min length2

Characters and Unicode

Total characters8209
Distinct characters707
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique678 ?
Unique (%)99.7%

Sample

1st row이것이 모든 것을 바꾼다
2nd row삶이라는 우주를 건너는 너에게
3rd row테일즈런너 수학킹왕짱!.30
4th row최재천의 동물대탐험.1
5th row비트코인 지혜의 족보(개정판)
ValueCountFrequency (%)
30
 
1.3%
2 22
 
1.0%
1 20
 
0.9%
위한 14
 
0.6%
내 12
 
0.5%
한국사 10
 
0.4%
산타 9
 
0.4%
설민석의 8
 
0.3%
나는 8
 
0.3%
이상한 8
 
0.3%
Other values (1633) 2167
93.9%
2024-01-10T05:48:30.978103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1633
 
19.9%
의 184
 
2.2%
이 136
 
1.7%
는 111
 
1.4%
사 106
 
1.3%
다 104
 
1.3%
한 92
 
1.1%
리 92
 
1.1%
가 83
 
1.0%
1 80
 
1.0%
Other values (697) 5588
68.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5974
72.8%
Space Separator 1633
 
19.9%
Decimal Number 298
 
3.6%
Other Punctuation 89
 
1.1%
Uppercase Letter 65
 
0.8%
Open Punctuation 44
 
0.5%
Close Punctuation 43
 
0.5%
Lowercase Letter 41
 
0.5%
Dash Punctuation 18
 
0.2%
Math Symbol 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 184
 
3.1%
이 136
 
2.3%
는 111
 
1.9%
사 106
 
1.8%
다 104
 
1.7%
한 92
 
1.5%
리 92
 
1.5%
가 83
 
1.4%
기 71
 
1.2%
하 66
 
1.1%
Other values (638) 4929
82.5%
Uppercase Letter
ValueCountFrequency (%)
T 11
16.9%
G 10
15.4%
P 9
13.8%
Z 4
 
6.2%
M 4
 
6.2%
V 3
 
4.6%
I 3
 
4.6%
S 3
 
4.6%
E 3
 
4.6%
A 2
 
3.1%
Other values (9) 13
20.0%
Lowercase Letter
ValueCountFrequency (%)
e 6
14.6%
o 6
14.6%
r 6
14.6%
t 4
9.8%
n 4
9.8%
i 3
7.3%
s 2
 
4.9%
h 2
 
4.9%
d 2
 
4.9%
a 1
 
2.4%
Other values (5) 5
12.2%
Decimal Number
ValueCountFrequency (%)
1 80
26.8%
2 68
22.8%
0 36
12.1%
3 32
 
10.7%
6 20
 
6.7%
4 19
 
6.4%
5 13
 
4.4%
9 12
 
4.0%
7 12
 
4.0%
8 6
 
2.0%
Other Punctuation
ValueCountFrequency (%)
: 28
31.5%
. 26
29.2%
, 20
22.5%
! 11
 
12.4%
' 2
 
2.2%
% 1
 
1.1%
& 1
 
1.1%
Open Punctuation
ValueCountFrequency (%)
( 43
97.7%
[ 1
 
2.3%
Close Punctuation
ValueCountFrequency (%)
) 42
97.7%
] 1
 
2.3%
Math Symbol
ValueCountFrequency (%)
+ 3
75.0%
~ 1
 
25.0%
Space Separator
ValueCountFrequency (%)
1633
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5974
72.8%
Common 2129
 
25.9%
Latin 106
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 184
 
3.1%
이 136
 
2.3%
는 111
 
1.9%
사 106
 
1.8%
다 104
 
1.7%
한 92
 
1.5%
리 92
 
1.5%
가 83
 
1.4%
기 71
 
1.2%
하 66
 
1.1%
Other values (638) 4929
82.5%
Latin
ValueCountFrequency (%)
T 11
 
10.4%
G 10
 
9.4%
P 9
 
8.5%
e 6
 
5.7%
o 6
 
5.7%
r 6
 
5.7%
t 4
 
3.8%
n 4
 
3.8%
Z 4
 
3.8%
M 4
 
3.8%
Other values (24) 42
39.6%
Common
ValueCountFrequency (%)
1633
76.7%
1 80
 
3.8%
2 68
 
3.2%
( 43
 
2.0%
) 42
 
2.0%
0 36
 
1.7%
3 32
 
1.5%
: 28
 
1.3%
. 26
 
1.2%
, 20
 
0.9%
Other values (15) 121
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5974
72.8%
ASCII 2235
 
27.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1633
73.1%
1 80
 
3.6%
2 68
 
3.0%
( 43
 
1.9%
) 42
 
1.9%
0 36
 
1.6%
3 32
 
1.4%
: 28
 
1.3%
. 26
 
1.2%
, 20
 
0.9%
Other values (49) 227
 
10.2%
Hangul
ValueCountFrequency (%)
의 184
 
3.1%
이 136
 
2.3%
는 111
 
1.9%
사 106
 
1.8%
다 104
 
1.7%
한 92
 
1.5%
리 92
 
1.5%
가 83
 
1.4%
기 71
 
1.2%
하 66
 
1.1%
Other values (638) 4929
82.5%

저자명
Text

Distinct569
Distinct (%)83.7%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
2024-01-10T05:48:31.266131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length3
Mean length4.5691176
Min length1

Characters and Unicode

Total characters3107
Distinct characters407
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

Unique502 ?
Unique (%)73.8%

Sample

1st row나오미 클라인
2nd row김민형
3rd row이강안
4th row황혜영
5th row오태민
ValueCountFrequency (%)
외 23
 
2.5%
히로시마 9
 
1.0%
레이코 9
 
1.0%
설민석 8
 
0.9%
정브르 7
 
0.7%
이미지 7
 
0.7%
레온 7
 
0.7%
편집부 6
 
0.6%
존 4
 
0.4%
교고쿠 4
 
0.4%
Other values (737) 854
91.0%
2024-01-10T05:48:31.693391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
258
 
8.3%
이 107
 
3.4%
김 80
 
2.6%
스 66
 
2.1%
리 63
 
2.0%
정 59
 
1.9%
미 43
 
1.4%
지 41
 
1.3%
나 39
 
1.3%
아 37
 
1.2%
Other values (397) 2314
74.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2772
89.2%
Space Separator 258
 
8.3%
Uppercase Letter 40
 
1.3%
Other Punctuation 15
 
0.5%
Math Symbol 11
 
0.4%
Lowercase Letter 7
 
0.2%
Dash Punctuation 2
 
0.1%
Decimal Number 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 107
 
3.9%
김 80
 
2.9%
스 66
 
2.4%
리 63
 
2.3%
정 59
 
2.1%
미 43
 
1.6%
지 41
 
1.5%
나 39
 
1.4%
아 37
 
1.3%
영 33
 
1.2%
Other values (364) 2204
79.5%
Uppercase Letter
ValueCountFrequency (%)
T 5
12.5%
S 4
 
10.0%
N 4
 
10.0%
C 3
 
7.5%
O 3
 
7.5%
P 2
 
5.0%
I 2
 
5.0%
K 2
 
5.0%
Y 2
 
5.0%
R 2
 
5.0%
Other values (9) 11
27.5%
Math Symbol
ValueCountFrequency (%)
> 4
36.4%
< 4
36.4%
+ 2
18.2%
~ 1
 
9.1%
Other Punctuation
ValueCountFrequency (%)
. 7
46.7%
, 7
46.7%
! 1
 
6.7%
Lowercase Letter
ValueCountFrequency (%)
t 3
42.9%
v 3
42.9%
n 1
 
14.3%
Decimal Number
ValueCountFrequency (%)
5 1
50.0%
6 1
50.0%
Space Separator
ValueCountFrequency (%)
258
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2772
89.2%
Common 288
 
9.3%
Latin 47
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 107
 
3.9%
김 80
 
2.9%
스 66
 
2.4%
리 63
 
2.3%
정 59
 
2.1%
미 43
 
1.6%
지 41
 
1.5%
나 39
 
1.4%
아 37
 
1.3%
영 33
 
1.2%
Other values (364) 2204
79.5%
Latin
ValueCountFrequency (%)
T 5
 
10.6%
S 4
 
8.5%
N 4
 
8.5%
t 3
 
6.4%
C 3
 
6.4%
v 3
 
6.4%
O 3
 
6.4%
P 2
 
4.3%
I 2
 
4.3%
K 2
 
4.3%
Other values (12) 16
34.0%
Common
ValueCountFrequency (%)
258
89.6%
. 7
 
2.4%
, 7
 
2.4%
> 4
 
1.4%
< 4
 
1.4%
+ 2
 
0.7%
- 2
 
0.7%
! 1
 
0.3%
5 1
 
0.3%
6 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2772
89.2%
ASCII 335
 
10.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
258
77.0%
. 7
 
2.1%
, 7
 
2.1%
T 5
 
1.5%
> 4
 
1.2%
< 4
 
1.2%
S 4
 
1.2%
N 4
 
1.2%
t 3
 
0.9%
C 3
 
0.9%
Other values (23) 36
 
10.7%
Hangul
ValueCountFrequency (%)
이 107
 
3.9%
김 80
 
2.9%
스 66
 
2.4%
리 63
 
2.3%
정 59
 
2.1%
미 43
 
1.6%
지 41
 
1.5%
나 39
 
1.4%
아 37
 
1.3%
영 33
 
1.2%
Other values (364) 2204
79.5%

발행자
Text

Distinct372
Distinct (%)54.8%
Missing1
Missing (%)0.1%
Memory size5.4 KiB
2024-01-10T05:48:31.974171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length4.0927835
Min length1

Characters and Unicode

Total characters2779
Distinct characters380
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique244 ?
Unique (%)35.9%

Sample

1st row열린책들
2nd row웅진지식하우스
3rd row거북이북스
4th row다산어린이
5th row케이디북스
ValueCountFrequency (%)
창비 17
 
2.5%
문학동네 15
 
2.2%
위즈덤하우스 10
 
1.5%
주니어김영사 10
 
1.5%
열린책들 10
 
1.5%
단꿈아이 8
 
1.2%
웅진지식하우스 8
 
1.2%
시공사 8
 
1.2%
길벗스쿨 8
 
1.2%
밝은미래 8
 
1.2%
Other values (366) 585
85.2%
2024-01-10T05:48:32.384864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
스 142
 
5.1%
북 108
 
3.9%
이 82
 
3.0%
사 80
 
2.9%
어 65
 
2.3%
아 53
 
1.9%
미 50
 
1.8%
리 43
 
1.5%
비 43
 
1.5%
책 42
 
1.5%
Other values (370) 2071
74.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2733
98.3%
Uppercase Letter 20
 
0.7%
Decimal Number 9
 
0.3%
Lowercase Letter 9
 
0.3%
Space Separator 8
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 142
 
5.2%
북 108
 
4.0%
이 82
 
3.0%
사 80
 
2.9%
어 65
 
2.4%
아 53
 
1.9%
미 50
 
1.8%
리 43
 
1.6%
비 43
 
1.6%
책 42
 
1.5%
Other values (348) 2025
74.1%
Uppercase Letter
ValueCountFrequency (%)
B 4
20.0%
K 3
15.0%
H 2
10.0%
R 2
10.0%
S 2
10.0%
O 2
10.0%
Z 1
 
5.0%
I 1
 
5.0%
P 1
 
5.0%
E 1
 
5.0%
Lowercase Letter
ValueCountFrequency (%)
i 2
22.2%
n 2
22.2%
b 1
11.1%
s 1
11.1%
d 1
11.1%
e 1
11.1%
r 1
11.1%
Decimal Number
ValueCountFrequency (%)
2 5
55.6%
1 3
33.3%
6 1
 
11.1%
Space Separator
ValueCountFrequency (%)
8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2733
98.3%
Latin 29
 
1.0%
Common 17
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 142
 
5.2%
북 108
 
4.0%
이 82
 
3.0%
사 80
 
2.9%
어 65
 
2.4%
아 53
 
1.9%
미 50
 
1.8%
리 43
 
1.6%
비 43
 
1.6%
책 42
 
1.5%
Other values (348) 2025
74.1%
Latin
ValueCountFrequency (%)
B 4
13.8%
K 3
 
10.3%
H 2
 
6.9%
i 2
 
6.9%
n 2
 
6.9%
R 2
 
6.9%
S 2
 
6.9%
O 2
 
6.9%
Z 1
 
3.4%
I 1
 
3.4%
Other values (8) 8
27.6%
Common
ValueCountFrequency (%)
8
47.1%
2 5
29.4%
1 3
 
17.6%
6 1
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2733
98.3%
ASCII 46
 
1.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
스 142
 
5.2%
북 108
 
4.0%
이 82
 
3.0%
사 80
 
2.9%
어 65
 
2.4%
아 53
 
1.9%
미 50
 
1.8%
리 43
 
1.6%
비 43
 
1.6%
책 42
 
1.5%
Other values (348) 2025
74.1%
ASCII
ValueCountFrequency (%)
8
17.4%
2 5
 
10.9%
B 4
 
8.7%
K 3
 
6.5%
1 3
 
6.5%
H 2
 
4.3%
i 2
 
4.3%
n 2
 
4.3%
R 2
 
4.3%
S 2
 
4.3%
Other values (12) 13
28.3%

단가
Real number (ℝ)

HIGH CORRELATION 

Distinct78
Distinct (%)11.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17554.118
Minimum5000
Maximum214000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.1 KiB
2024-01-10T05:48:32.762164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5000
5-th percentile12000
Q114000
median16000
Q318000
95-th percentile29000
Maximum214000
Range209000
Interquartile range (IQR)4000

Descriptive statistics

Standard deviation9549.6893
Coefficient of variation (CV)0.5440142
Kurtosis264.74838
Mean17554.118
Median Absolute Deviation (MAD)2000
Skewness13.416
Sum11936800
Variance91196566
MonotonicityNot monotonic
2024-01-10T05:48:32.873873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15000 72
 
10.6%
13000 63
 
9.3%
17000 49
 
7.2%
16000 43
 
6.3%
18000 40
 
5.9%
14000 38
 
5.6%
12000 36
 
5.3%
16800 35
 
5.1%
22000 26
 
3.8%
13500 17
 
2.5%
Other values (68) 261
38.4%
ValueCountFrequency (%)
5000 1
 
0.1%
5800 1
 
0.1%
6000 1
 
0.1%
7000 1
 
0.1%
7200 1
 
0.1%
7500 1
 
0.1%
9000 3
0.4%
9500 1
 
0.1%
9800 2
0.3%
10000 3
0.4%
ValueCountFrequency (%)
214000 1
 
0.1%
55500 1
 
0.1%
51000 1
 
0.1%
50000 1
 
0.1%
48000 1
 
0.1%
45000 1
 
0.1%
40000 4
0.6%
39000 3
0.4%
38500 1
 
0.1%
38000 2
0.3%

수량
Real number (ℝ)

Distinct6
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.0544118
Minimum1
Maximum17
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.1 KiB
2024-01-10T05:48:32.963661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum17
Range16
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.72508876
Coefficient of variation (CV)0.68767134
Kurtosis379.4976
Mean1.0544118
Median Absolute Deviation (MAD)0
Skewness18.655107
Sum717
Variance0.5257537
MonotonicityNot monotonic
2024-01-10T05:48:33.050231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 670
98.5%
2 5
 
0.7%
3 2
 
0.3%
10 1
 
0.1%
4 1
 
0.1%
17 1
 
0.1%
ValueCountFrequency (%)
1 670
98.5%
2 5
 
0.7%
3 2
 
0.3%
4 1
 
0.1%
10 1
 
0.1%
17 1
 
0.1%
ValueCountFrequency (%)
17 1
 
0.1%
10 1
 
0.1%
4 1
 
0.1%
3 2
 
0.3%
2 5
 
0.7%
1 670
98.5%

금액
Real number (ℝ)

HIGH CORRELATION 

Distinct83
Distinct (%)12.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17912.353
Minimum5000
Maximum214000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.1 KiB
2024-01-10T05:48:33.159607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5000
5-th percentile12000
Q114000
median16000
Q318500
95-th percentile32000
Maximum214000
Range209000
Interquartile range (IQR)4500

Descriptive statistics

Standard deviation10019.889
Coefficient of variation (CV)0.55938428
Kurtosis217.25878
Mean17912.353
Median Absolute Deviation (MAD)2000
Skewness11.818329
Sum12180400
Variance1.0039817 × 108
MonotonicityNot monotonic
2024-01-10T05:48:33.273156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15000 72
 
10.6%
13000 60
 
8.8%
17000 49
 
7.2%
16000 43
 
6.3%
18000 39
 
5.7%
14000 38
 
5.6%
12000 36
 
5.3%
16800 33
 
4.9%
22000 25
 
3.7%
13500 17
 
2.5%
Other values (73) 268
39.4%
ValueCountFrequency (%)
5000 1
 
0.1%
6000 1
 
0.1%
7000 1
 
0.1%
7200 1
 
0.1%
7500 1
 
0.1%
9000 3
0.4%
9500 1
 
0.1%
9800 2
0.3%
10000 3
0.4%
10500 1
 
0.1%
ValueCountFrequency (%)
214000 1
0.1%
58000 1
0.1%
55500 1
0.1%
54000 1
0.1%
52000 1
0.1%
51000 1
0.1%
50000 1
0.1%
48000 1
0.1%
45000 1
0.1%
44000 1
0.1%

Interactions

2024-01-10T05:48:28.743399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:48:26.030843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:48:26.511336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:48:26.981325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:48:27.556802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:48:28.141261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:48:28.841300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:48:26.112791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:48:26.594416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:48:27.081577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:48:27.659482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:48:28.251477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:48:28.936754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:48:26.192396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:48:26.670915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:48:27.177962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:48:27.753814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:48:28.347428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:48:29.026044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:48:26.268820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:48:26.750009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:48:27.263495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:48:27.845406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:48:28.451066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:48:29.104806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:48:26.351280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:48:26.827040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:48:27.354177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:48:27.938292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:48:28.544513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:48:29.188317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:48:26.438091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:48:26.911267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:48:27.457272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:48:28.051981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:48:28.648515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T05:48:33.349033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번구입 월구분분류단가수량금액
연번1.0000.9210.4080.3730.1790.0810.178
구입 월0.9211.0000.3280.1970.1440.1460.088
구분0.4080.3281.0000.4310.1920.2150.206
분류0.3730.1970.4311.0000.1410.2070.202
단가0.1790.1440.1920.1411.0000.8940.995
수량0.0810.1460.2150.2070.8941.0000.937
금액0.1780.0880.2060.2020.9950.9371.000
2024-01-10T05:48:33.438858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번구입 월분류단가수량금액구분
연번1.0000.9930.032-0.024-0.007-0.0350.254
구입 월0.9931.0000.035-0.029-0.006-0.0400.214
분류0.0320.0351.000-0.3330.040-0.3190.270
단가-0.024-0.029-0.3331.0000.0020.9700.077
수량-0.007-0.0060.0400.0021.0000.2020.086
금액-0.035-0.040-0.3190.9700.2021.0000.082
구분0.2540.2140.2700.0770.0860.0821.000

Missing values

2024-01-10T05:48:29.287528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T05:48:29.402529image/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

연번구입 월구분분류도서명저자명발행자단가수량금액
011일반300이것이 모든 것을 바꾼다나오미 클라인열린책들33000133000
121일반100삶이라는 우주를 건너는 너에게김민형웅진지식하우스16800116800
231아동400테일즈런너 수학킹왕짱!.30이강안거북이북스10500110500
341아동400최재천의 동물대탐험.1황혜영다산어린이15000115000
451일반300비트코인 지혜의 족보(개정판)오태민케이디북스24500124500
561아동800소능력자들.7김하연마술피리12000112000
671일반500오지라퍼 선생님의 초등 학부모 수업김현경책소유16000116000
781일반100저 많은 돼지고기는 어디서 왔을까후루사와 고유나무를심는사람들13500113500
891일반300마흔 살의 정리법사카오카 요코이아소12000112000
9101일반300박 회계사의 사업보고서 분석법박동흠부크온22000122000
연번구입 월구분분류도서명저자명발행자단가수량금액
67067112아동900설민석의 한국사 대모험 25설민석단꿈아이13000113000
67167212아동900설민석의 한국사 대모험 26설민석단꿈아이13000113000
67267312아동900설민석의 한국사 대모험 27설민석단꿈아이13000113000
67367412아동400흔한남매 과학 탐험대 9: 대기와 날씨흔한남매주니어김영사14800114800
67467512아동900Go Go 카카오프렌즈 30 : 체코김미영아울북14800114800
67567612아동800이상한 과자 가게 전천당 19히로시마 레이코길벗스쿨13000113000
67667712일반500임신 출산 육아 대백과 최신개정판(2023~2024)삼성출판사 편집부삼성출판사19500119500
67767812일반500처음 임신 출산 멘붕 탈출법황인철소울하우스17000117000
67867912일반500내 생애 첫 임신 출산 육아 책 2024중앙북스 편집부중앙북스23000123000
67968012일반900벌거벗은 한국사: 영웅편tvN STORY<벌거벗은 한국사>프런트페이지18800118800