Overview

Dataset statistics

Number of variables10
Number of observations534
Missing cells2
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory45.0 KiB
Average record size in memory86.2 B

Variable types

Numeric5
Categorical2
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 단가 and 1 other fieldsHigh correlation
수량 is highly overall correlated with 금액High correlation
수량 is highly imbalanced (96.3%)Imbalance
연번 has unique valuesUnique
도서명 has unique valuesUnique
분류 has 22 (4.1%) zerosZeros

Reproduction

Analysis started2024-01-09 20:49:56.963721
Analysis finished2024-01-09 20:50:00.375357
Duration3.41 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct534
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean267.5
Minimum1
Maximum534
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2024-01-10T05:50:00.454206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile27.65
Q1134.25
median267.5
Q3400.75
95-th percentile507.35
Maximum534
Range533
Interquartile range (IQR)266.5

Descriptive statistics

Standard deviation154.29679
Coefficient of variation (CV)0.57681044
Kurtosis-1.2
Mean267.5
Median Absolute Deviation (MAD)133.5
Skewness0
Sum142845
Variance23807.5
MonotonicityStrictly increasing
2024-01-10T05:50:00.603722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
353 1
 
0.2%
367 1
 
0.2%
366 1
 
0.2%
365 1
 
0.2%
364 1
 
0.2%
363 1
 
0.2%
362 1
 
0.2%
361 1
 
0.2%
360 1
 
0.2%
Other values (524) 524
98.1%
ValueCountFrequency (%)
1 1
0.2%
2 1
0.2%
3 1
0.2%
4 1
0.2%
5 1
0.2%
6 1
0.2%
7 1
0.2%
8 1
0.2%
9 1
0.2%
10 1
0.2%
ValueCountFrequency (%)
534 1
0.2%
533 1
0.2%
532 1
0.2%
531 1
0.2%
530 1
0.2%
529 1
0.2%
528 1
0.2%
527 1
0.2%
526 1
0.2%
525 1
0.2%

구입 월
Real number (ℝ)

HIGH CORRELATION 

Distinct8
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.3970037
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2024-01-10T05:50:00.724447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q36
95-th percentile8
Maximum8
Range7
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.3187931
Coefficient of variation (CV)0.52735755
Kurtosis-1.2166102
Mean4.3970037
Median Absolute Deviation (MAD)2
Skewness0.11409363
Sum2348
Variance5.3768015
MonotonicityIncreasing
2024-01-10T05:50:00.835369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
4 105
19.7%
1 74
13.9%
8 72
13.5%
3 68
12.7%
6 62
11.6%
2 61
11.4%
7 60
11.2%
5 32
 
6.0%
ValueCountFrequency (%)
1 74
13.9%
2 61
11.4%
3 68
12.7%
4 105
19.7%
5 32
 
6.0%
6 62
11.6%
7 60
11.2%
8 72
13.5%
ValueCountFrequency (%)
8 72
13.5%
7 60
11.2%
6 62
11.6%
5 32
 
6.0%
4 105
19.7%
3 68
12.7%
2 61
11.4%
1 74
13.9%

구분
Categorical

Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
일반
386 
아동
113 
유아
 
35

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반 386
72.3%
아동 113
 
21.2%
유아 35
 
6.6%

Length

2024-01-10T05:50:00.963319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:50:01.066615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반 386
72.3%
아동 113
 
21.2%
유아 35
 
6.6%

분류
Real number (ℝ)

ZEROS 

Distinct10
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean574.34457
Minimum0
Maximum900
Zeros22
Zeros (%)4.1%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2024-01-10T05:50:01.165895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile100
Q1300
median800
Q3800
95-th percentile835
Maximum900
Range900
Interquartile range (IQR)500

Descriptive statistics

Standard deviation282.30664
Coefficient of variation (CV)0.49152835
Kurtosis-1.1264944
Mean574.34457
Median Absolute Deviation (MAD)100
Skewness-0.6159316
Sum306700
Variance79697.037
MonotonicityNot monotonic
2024-01-10T05:50:01.281575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
800 264
49.4%
300 89
 
16.7%
100 46
 
8.6%
400 36
 
6.7%
500 31
 
5.8%
900 27
 
5.1%
0 22
 
4.1%
600 13
 
2.4%
200 4
 
0.7%
700 2
 
0.4%
ValueCountFrequency (%)
0 22
 
4.1%
100 46
 
8.6%
200 4
 
0.7%
300 89
 
16.7%
400 36
 
6.7%
500 31
 
5.8%
600 13
 
2.4%
700 2
 
0.4%
800 264
49.4%
900 27
 
5.1%
ValueCountFrequency (%)
900 27
 
5.1%
800 264
49.4%
700 2
 
0.4%
600 13
 
2.4%
500 31
 
5.8%
400 36
 
6.7%
300 89
 
16.7%
200 4
 
0.7%
100 46
 
8.6%
0 22
 
4.1%

도서명
Text

UNIQUE 

Distinct534
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
2024-01-10T05:50:01.564712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length33
Mean length12.014981
Min length2

Characters and Unicode

Total characters6416
Distinct characters659
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique534 ?
Unique (%)100.0%

Sample

1st row파이어족의 재테크
2nd row유튜브 이야기
3rd row비밀의 보석 가게 마석관.2
4th row기묘한 모모한약방 3
5th row유령고양이 후쿠코.3
ValueCountFrequency (%)
24
 
1.4%
법칙 10
 
0.6%
정글의 9
 
0.5%
2 8
 
0.5%
이야기 7
 
0.4%
편 7
 
0.4%
나는 7
 
0.4%
1 7
 
0.4%
법 6
 
0.3%
위한 6
 
0.3%
Other values (1364) 1647
94.8%
2024-01-10T05:50:01.987588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1212
 
18.9%
이 156
 
2.4%
의 129
 
2.0%
는 104
 
1.6%
다 94
 
1.5%
한 76
 
1.2%
기 68
 
1.1%
리 67
 
1.0%
어 62
 
1.0%
1 61
 
1.0%
Other values (649) 4387
68.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4770
74.3%
Space Separator 1212
 
18.9%
Decimal Number 205
 
3.2%
Other Punctuation 113
 
1.8%
Lowercase Letter 25
 
0.4%
Dash Punctuation 24
 
0.4%
Uppercase Letter 23
 
0.4%
Close Punctuation 21
 
0.3%
Open Punctuation 21
 
0.3%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 156
 
3.3%
의 129
 
2.7%
는 104
 
2.2%
다 94
 
2.0%
한 76
 
1.6%
기 68
 
1.4%
리 67
 
1.4%
어 62
 
1.3%
사 58
 
1.2%
가 56
 
1.2%
Other values (603) 3900
81.8%
Uppercase Letter
ValueCountFrequency (%)
T 7
30.4%
D 3
13.0%
L 3
13.0%
I 2
 
8.7%
K 1
 
4.3%
S 1
 
4.3%
V 1
 
4.3%
B 1
 
4.3%
M 1
 
4.3%
X 1
 
4.3%
Other values (2) 2
 
8.7%
Lowercase Letter
ValueCountFrequency (%)
i 4
16.0%
e 4
16.0%
t 3
12.0%
v 3
12.0%
s 2
8.0%
a 2
8.0%
o 2
8.0%
p 1
 
4.0%
j 1
 
4.0%
h 1
 
4.0%
Other values (2) 2
8.0%
Decimal Number
ValueCountFrequency (%)
1 61
29.8%
2 44
21.5%
3 35
17.1%
0 22
 
10.7%
5 15
 
7.3%
4 12
 
5.9%
8 6
 
2.9%
9 4
 
2.0%
6 4
 
2.0%
7 2
 
1.0%
Other Punctuation
ValueCountFrequency (%)
. 56
49.6%
, 25
22.1%
! 19
 
16.8%
: 11
 
9.7%
& 1
 
0.9%
/ 1
 
0.9%
Space Separator
ValueCountFrequency (%)
1212
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 24
100.0%
Close Punctuation
ValueCountFrequency (%)
) 21
100.0%
Open Punctuation
ValueCountFrequency (%)
( 21
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4770
74.3%
Common 1598
 
24.9%
Latin 48
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 156
 
3.3%
의 129
 
2.7%
는 104
 
2.2%
다 94
 
2.0%
한 76
 
1.6%
기 68
 
1.4%
리 67
 
1.4%
어 62
 
1.3%
사 58
 
1.2%
가 56
 
1.2%
Other values (603) 3900
81.8%
Latin
ValueCountFrequency (%)
T 7
14.6%
i 4
 
8.3%
e 4
 
8.3%
D 3
 
6.2%
t 3
 
6.2%
L 3
 
6.2%
v 3
 
6.2%
s 2
 
4.2%
a 2
 
4.2%
o 2
 
4.2%
Other values (14) 15
31.2%
Common
ValueCountFrequency (%)
1212
75.8%
1 61
 
3.8%
. 56
 
3.5%
2 44
 
2.8%
3 35
 
2.2%
, 25
 
1.6%
- 24
 
1.5%
0 22
 
1.4%
) 21
 
1.3%
( 21
 
1.3%
Other values (12) 77
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4770
74.3%
ASCII 1645
 
25.6%
Punctuation 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1212
73.7%
1 61
 
3.7%
. 56
 
3.4%
2 44
 
2.7%
3 35
 
2.1%
, 25
 
1.5%
- 24
 
1.5%
0 22
 
1.3%
) 21
 
1.3%
( 21
 
1.3%
Other values (35) 124
 
7.5%
Hangul
ValueCountFrequency (%)
이 156
 
3.3%
의 129
 
2.7%
는 104
 
2.2%
다 94
 
2.0%
한 76
 
1.6%
기 68
 
1.4%
리 67
 
1.4%
어 62
 
1.3%
사 58
 
1.2%
가 56
 
1.2%
Other values (603) 3900
81.8%
Punctuation
ValueCountFrequency (%)
’ 1
100.0%

저자명
Text

Distinct425
Distinct (%)79.6%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
2024-01-10T05:50:02.225848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length18
Mean length5.1666667
Min length2

Characters and Unicode

Total characters2759
Distinct characters399
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

Unique367 ?
Unique (%)68.7%

Sample

1st row신현정+신영주
2nd row고몽
3rd row히로시마레이코
4th row히로시마레이코
5th row히로시마레이코
ValueCountFrequency (%)
외 15
 
1.9%
제작팀 9
 
1.1%
sbs 8
 
1.0%
법칙 8
 
1.0%
원작 8
 
1.0%
이수지 8
 
1.0%
정글의 8
 
1.0%
정보라 7
 
0.9%
하츠노 6
 
0.7%
세이 6
 
0.7%
Other values (576) 721
89.7%
2024-01-10T05:50:02.599050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
270
 
9.8%
이 132
 
4.8%
스 82
 
3.0%
리 58
 
2.1%
김 56
 
2.0%
정 45
 
1.6%
라 36
 
1.3%
지 33
 
1.2%
나 31
 
1.1%
마 29
 
1.1%
Other values (389) 1987
72.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2357
85.4%
Space Separator 270
 
9.8%
Uppercase Letter 56
 
2.0%
Math Symbol 24
 
0.9%
Lowercase Letter 21
 
0.8%
Other Punctuation 15
 
0.5%
Open Punctuation 8
 
0.3%
Close Punctuation 8
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 132
 
5.6%
스 82
 
3.5%
리 58
 
2.5%
김 56
 
2.4%
정 45
 
1.9%
라 36
 
1.5%
지 33
 
1.4%
나 31
 
1.3%
마 29
 
1.2%
미 29
 
1.2%
Other values (359) 1826
77.5%
Uppercase Letter
ValueCountFrequency (%)
S 20
35.7%
B 10
17.9%
J 6
 
10.7%
D 3
 
5.4%
R 3
 
5.4%
K 2
 
3.6%
E 2
 
3.6%
N 2
 
3.6%
T 2
 
3.6%
M 1
 
1.8%
Other values (5) 5
 
8.9%
Lowercase Letter
ValueCountFrequency (%)
z 6
28.6%
e 4
19.0%
n 2
 
9.5%
o 2
 
9.5%
c 2
 
9.5%
l 1
 
4.8%
u 1
 
4.8%
a 1
 
4.8%
t 1
 
4.8%
v 1
 
4.8%
Space Separator
ValueCountFrequency (%)
270
100.0%
Math Symbol
ValueCountFrequency (%)
+ 24
100.0%
Other Punctuation
ValueCountFrequency (%)
. 15
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2357
85.4%
Common 325
 
11.8%
Latin 77
 
2.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 132
 
5.6%
스 82
 
3.5%
리 58
 
2.5%
김 56
 
2.4%
정 45
 
1.9%
라 36
 
1.5%
지 33
 
1.4%
나 31
 
1.3%
마 29
 
1.2%
미 29
 
1.2%
Other values (359) 1826
77.5%
Latin
ValueCountFrequency (%)
S 20
26.0%
B 10
13.0%
z 6
 
7.8%
J 6
 
7.8%
e 4
 
5.2%
D 3
 
3.9%
R 3
 
3.9%
n 2
 
2.6%
K 2
 
2.6%
E 2
 
2.6%
Other values (15) 19
24.7%
Common
ValueCountFrequency (%)
270
83.1%
+ 24
 
7.4%
. 15
 
4.6%
( 8
 
2.5%
) 8
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2357
85.4%
ASCII 402
 
14.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
270
67.2%
+ 24
 
6.0%
S 20
 
5.0%
. 15
 
3.7%
B 10
 
2.5%
( 8
 
2.0%
) 8
 
2.0%
z 6
 
1.5%
J 6
 
1.5%
e 4
 
1.0%
Other values (20) 31
 
7.7%
Hangul
ValueCountFrequency (%)
이 132
 
5.6%
스 82
 
3.5%
리 58
 
2.5%
김 56
 
2.4%
정 45
 
1.9%
라 36
 
1.5%
지 33
 
1.4%
나 31
 
1.3%
마 29
 
1.2%
미 29
 
1.2%
Other values (359) 1826
77.5%

발행자
Text

Distinct291
Distinct (%)54.7%
Missing2
Missing (%)0.4%
Memory size4.3 KiB
2024-01-10T05:50:02.840367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length8
Mean length4.3120301
Min length1

Characters and Unicode

Total characters2294
Distinct characters332
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique196 ?
Unique (%)36.8%

Sample

1st row쌤앤파커스
2nd row성안당
3rd row길벗스쿨
4th row미래엔아이세움
5th row주니어김영사
ValueCountFrequency (%)
영상출판미디어 23
 
4.3%
위즈덤하우스 12
 
2.3%
주니어김영사 11
 
2.1%
문학동네 11
 
2.1%
비룡소 10
 
1.9%
미래엔아이세움 10
 
1.9%
김영사 8
 
1.5%
알에이치코리아 7
 
1.3%
아작 7
 
1.3%
아울북 7
 
1.3%
Other values (281) 426
80.1%
2024-01-10T05:50:03.183855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
스 120
 
5.2%
북 78
 
3.4%
사 73
 
3.2%
어 70
 
3.1%
이 67
 
2.9%
미 57
 
2.5%
디 50
 
2.2%
영 49
 
2.1%
아 48
 
2.1%
판 43
 
1.9%
Other values (322) 1639
71.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2255
98.3%
Uppercase Letter 20
 
0.9%
Decimal Number 10
 
0.4%
Lowercase Letter 6
 
0.3%
Other Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 120
 
5.3%
북 78
 
3.5%
사 73
 
3.2%
어 70
 
3.1%
이 67
 
3.0%
미 57
 
2.5%
디 50
 
2.2%
영 49
 
2.2%
아 48
 
2.1%
판 43
 
1.9%
Other values (300) 1600
71.0%
Uppercase Letter
ValueCountFrequency (%)
O 4
20.0%
B 4
20.0%
S 2
10.0%
K 2
10.0%
P 1
 
5.0%
T 1
 
5.0%
E 1
 
5.0%
N 1
 
5.0%
I 1
 
5.0%
A 1
 
5.0%
Other values (2) 2
10.0%
Lowercase Letter
ValueCountFrequency (%)
i 3
50.0%
d 1
 
16.7%
n 1
 
16.7%
e 1
 
16.7%
Decimal Number
ValueCountFrequency (%)
2 5
50.0%
1 4
40.0%
3 1
 
10.0%
Other Punctuation
ValueCountFrequency (%)
: 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2255
98.3%
Latin 26
 
1.1%
Common 13
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 120
 
5.3%
북 78
 
3.5%
사 73
 
3.2%
어 70
 
3.1%
이 67
 
3.0%
미 57
 
2.5%
디 50
 
2.2%
영 49
 
2.2%
아 48
 
2.1%
판 43
 
1.9%
Other values (300) 1600
71.0%
Latin
ValueCountFrequency (%)
O 4
15.4%
B 4
15.4%
i 3
11.5%
S 2
 
7.7%
K 2
 
7.7%
P 1
 
3.8%
T 1
 
3.8%
E 1
 
3.8%
N 1
 
3.8%
I 1
 
3.8%
Other values (6) 6
23.1%
Common
ValueCountFrequency (%)
2 5
38.5%
1 4
30.8%
: 1
 
7.7%
3 1
 
7.7%
) 1
 
7.7%
( 1
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2255
98.3%
ASCII 39
 
1.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
스 120
 
5.3%
북 78
 
3.5%
사 73
 
3.2%
어 70
 
3.1%
이 67
 
3.0%
미 57
 
2.5%
디 50
 
2.2%
영 49
 
2.2%
아 48
 
2.1%
판 43
 
1.9%
Other values (300) 1600
71.0%
ASCII
ValueCountFrequency (%)
2 5
12.8%
O 4
 
10.3%
B 4
 
10.3%
1 4
 
10.3%
i 3
 
7.7%
S 2
 
5.1%
K 2
 
5.1%
P 1
 
2.6%
: 1
 
2.6%
T 1
 
2.6%
Other values (12) 12
30.8%

단가
Real number (ℝ)

HIGH CORRELATION 

Distinct61
Distinct (%)11.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15810.3
Minimum6500
Maximum45000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2024-01-10T05:50:03.306174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6500
5-th percentile10000
Q112800
median15000
Q316800
95-th percentile25350
Maximum45000
Range38500
Interquartile range (IQR)4000

Descriptive statistics

Standard deviation5343.024
Coefficient of variation (CV)0.33794577
Kurtosis6.7269116
Mean15810.3
Median Absolute Deviation (MAD)2000
Skewness2.2054609
Sum8442700
Variance28547905
MonotonicityNot monotonic
2024-01-10T05:50:03.427561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15000 64
 
12.0%
12000 59
 
11.0%
16000 50
 
9.4%
14000 34
 
6.4%
13000 33
 
6.2%
11000 21
 
3.9%
16800 19
 
3.6%
18000 18
 
3.4%
17000 16
 
3.0%
10000 14
 
2.6%
Other values (51) 206
38.6%
ValueCountFrequency (%)
6500 3
 
0.6%
8000 2
 
0.4%
8500 3
 
0.6%
9000 9
1.7%
9800 4
 
0.7%
10000 14
2.6%
10500 4
 
0.7%
10800 4
 
0.7%
11000 21
3.9%
11500 3
 
0.6%
ValueCountFrequency (%)
45000 1
 
0.2%
43000 1
 
0.2%
42000 1
 
0.2%
39000 1
 
0.2%
38000 2
0.4%
36000 3
0.6%
35000 1
 
0.2%
34000 1
 
0.2%
33000 2
0.4%
32000 3
0.6%

수량
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct4
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
1
530 
2
 
2
4
 
1
10
 
1

Length

Max length2
Median length1
Mean length1.0018727
Min length1

Unique

Unique2 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
1 530
99.3%
2 2
 
0.4%
4 1
 
0.2%
10 1
 
0.2%

Length

2024-01-10T05:50:03.551049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:50:03.645274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 530
99.3%
2 2
 
0.4%
4 1
 
0.2%
10 1
 
0.2%

금액
Real number (ℝ)

HIGH CORRELATION 

Distinct63
Distinct (%)11.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16197.004
Minimum6500
Maximum120000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2024-01-10T05:50:03.748851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6500
5-th percentile10000
Q112850
median15000
Q316800
95-th percentile26280
Maximum120000
Range113500
Interquartile range (IQR)3950

Descriptive statistics

Standard deviation7681.0572
Coefficient of variation (CV)0.47422705
Kurtosis72.548266
Mean16197.004
Median Absolute Deviation (MAD)2000
Skewness6.6173079
Sum8649200
Variance58998640
MonotonicityNot monotonic
2024-01-10T05:50:03.887292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15000 64
 
12.0%
12000 58
 
10.9%
16000 50
 
9.4%
14000 34
 
6.4%
13000 33
 
6.2%
11000 21
 
3.9%
16800 19
 
3.6%
18000 18
 
3.4%
17000 16
 
3.0%
10000 14
 
2.6%
Other values (53) 207
38.8%
ValueCountFrequency (%)
6500 3
 
0.6%
8000 2
 
0.4%
8500 3
 
0.6%
9000 9
1.7%
9800 4
 
0.7%
10000 14
2.6%
10500 4
 
0.7%
10800 4
 
0.7%
11000 21
3.9%
11500 2
 
0.4%
ValueCountFrequency (%)
120000 1
 
0.2%
80000 1
 
0.2%
54000 1
 
0.2%
45000 1
 
0.2%
43000 1
 
0.2%
42000 1
 
0.2%
39000 1
 
0.2%
38000 2
0.4%
36000 3
0.6%
35000 1
 
0.2%

Interactions

2024-01-10T05:49:59.435874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:49:57.730904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:49:58.114677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:49:58.514897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:49:58.983043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:49:59.777670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:49:57.810406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:49:58.192576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:49:58.597228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:49:59.081685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:49:59.877348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:49:57.889992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:49:58.273646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:49:58.696357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:49:59.190637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:49:59.967096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:49:57.960850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:49:58.348180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:49:58.779365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:49:59.275972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:50:00.076909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:49:58.043351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:49:58.435568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:49:58.882334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:49:59.361826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T05:50:03.981379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번구입 월구분분류단가수량금액
연번1.0000.9210.3800.5010.2610.0000.117
구입 월0.9211.0000.2910.3120.1470.2120.147
구분0.3800.2911.0000.3450.5320.0690.259
분류0.5010.3120.3451.0000.5190.0890.326
단가0.2610.1470.5320.5191.0000.2320.870
수량0.0000.2120.0690.0890.2321.0000.931
금액0.1170.1470.2590.3260.8700.9311.000
2024-01-10T05:50:04.068886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
수량구분
수량1.0000.065
구분0.0651.000
2024-01-10T05:50:04.142664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번구입 월분류단가금액구분수량
연번1.0000.9900.0610.0170.0110.2450.000
구입 월0.9901.0000.0650.004-0.0020.1920.096
분류0.0610.0651.000-0.409-0.3950.2190.053
단가0.0170.004-0.4091.0000.9850.3720.140
금액0.011-0.002-0.3950.9851.0000.1810.910
구분0.2450.1920.2190.3720.1811.0000.065
수량0.0000.0960.0530.1400.9100.0651.000

Missing values

2024-01-10T05:50:00.186040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T05:50:00.318021image/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
011일반300파이어족의 재테크신현정+신영주쌤앤파커스15000115000
121일반300유튜브 이야기고몽성안당23000123000
231아동800비밀의 보석 가게 마석관.2히로시마레이코길벗스쿨12000112000
341아동800기묘한 모모한약방 3히로시마레이코미래엔아이세움12000112000
451아동800유령고양이 후쿠코.3히로시마레이코주니어김영사12000112000
561아동800블라인드.2잠뜰TV서울문화사12000112000
671일반900둠 : 재앙의 정치학니얼 퍼거슨21세기북스38000138000
781일반800무너진 다리천선란그래비티북스16000116000
891일반800루시 (저메이카 킨케이드장편소설)저메이카 킨케이드문학동네12000112000
9101일반400에이다, 당신이군요. 최초의 프로그래머시드니 파두아곰출판20000120000
연번구입 월구분분류도서명저자명발행자단가수량금액
5245258일반800탐욕스타니스와프 이그나찌 비트키에비치워크룸프레스22000122000
5255268일반800광인과 수녀스타니스와프 이그나찌 비트키에비치워크룸프레스16000116000
5265278일반800여자들의 왕정보라아작16800116800
5275288일반800그녀를 만나다정보라아작14800114800
5285298일반800감겨진 눈 아래에정보라황금가지13800113800
5295308일반800붉은 칼정보라아작14800114800
5305318일반800왕의 창녀정도경온우주14800114800
5315328일반800씨앗정도경온우주14800114800
5325338일반800구덩이안드레이 플라토노프민음사800018000
5335348일반800브루노 슐츠 작품집정보라을유문화사13000113000