Overview

Dataset statistics

Number of variables8
Number of observations2889
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory189.2 KiB
Average record size in memory67.0 B

Variable types

Numeric2
Text4
Categorical2

Dataset

Description대구도시공사 전자도서관에서 제공하는 보유도서 현황(컨텐츠명,출판사,저자,등록일,권수,누적대출) 정보를 제공합니다.
Author대구도시개발공사
URLhttps://www.data.go.kr/data/15049663/fileData.do

Alerts

번호 is highly overall correlated with 등록일 and 1 other fieldsHigh correlation
등록일 is highly overall correlated with 번호 and 1 other fieldsHigh correlation
권수 is highly overall correlated with 번호 and 1 other fieldsHigh correlation
번호 has unique valuesUnique
컨텐츠번호 has unique valuesUnique
누적대출 has 959 (33.2%) zerosZeros

Reproduction

Analysis started2023-12-16 15:49:14.329201
Analysis finished2023-12-16 15:49:20.767521
Duration6.44 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct2889
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1445
Minimum1
Maximum2889
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size25.5 KiB
2023-12-16T15:49:21.151744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile145.4
Q1723
median1445
Q32167
95-th percentile2744.6
Maximum2889
Range2888
Interquartile range (IQR)1444

Descriptive statistics

Standard deviation834.12679
Coefficient of variation (CV)0.57725037
Kurtosis-1.2
Mean1445
Median Absolute Deviation (MAD)722
Skewness0
Sum4174605
Variance695767.5
MonotonicityStrictly increasing
2023-12-16T15:49:22.065982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
1920 1
 
< 0.1%
1922 1
 
< 0.1%
1923 1
 
< 0.1%
1924 1
 
< 0.1%
1925 1
 
< 0.1%
1926 1
 
< 0.1%
1927 1
 
< 0.1%
1928 1
 
< 0.1%
1929 1
 
< 0.1%
Other values (2879) 2879
99.7%
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 (%)
2889 1
< 0.1%
2888 1
< 0.1%
2887 1
< 0.1%
2886 1
< 0.1%
2885 1
< 0.1%
2884 1
< 0.1%
2883 1
< 0.1%
2882 1
< 0.1%
2881 1
< 0.1%
2880 1
< 0.1%

컨텐츠번호
Text

UNIQUE 

Distinct2889
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size22.7 KiB
2023-12-16T15:49:23.691704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length9
Mean length9
Min length9

Characters and Unicode

Total characters26001
Distinct characters11
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2889 ?
Unique (%)100.0%

Sample

1st row220406100
2nd row221003669
3rd row220805378
4th row221000784
5th row220904990
ValueCountFrequency (%)
220406100 1
 
< 0.1%
a03020813 1
 
< 0.1%
a08020006 1
 
< 0.1%
a06070783 1
 
< 0.1%
a03021416 1
 
< 0.1%
a03080485 1
 
< 0.1%
a03010176 1
 
< 0.1%
a03030212 1
 
< 0.1%
a03030471 1
 
< 0.1%
a08010485 1
 
< 0.1%
Other values (2879) 2879
99.7%
2023-12-16T15:49:26.260857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 9492
36.5%
1 3469
 
13.3%
2 2204
 
8.5%
3 1899
 
7.3%
9 1601
 
6.2%
5 1412
 
5.4%
4 1323
 
5.1%
6 1306
 
5.0%
A 1190
 
4.6%
8 1085
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 24811
95.4%
Uppercase Letter 1190
 
4.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 9492
38.3%
1 3469
 
14.0%
2 2204
 
8.9%
3 1899
 
7.7%
9 1601
 
6.5%
5 1412
 
5.7%
4 1323
 
5.3%
6 1306
 
5.3%
8 1085
 
4.4%
7 1020
 
4.1%
Uppercase Letter
ValueCountFrequency (%)
A 1190
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 24811
95.4%
Latin 1190
 
4.6%

Most frequent character per script

Common
ValueCountFrequency (%)
0 9492
38.3%
1 3469
 
14.0%
2 2204
 
8.9%
3 1899
 
7.7%
9 1601
 
6.5%
5 1412
 
5.7%
4 1323
 
5.3%
6 1306
 
5.3%
8 1085
 
4.4%
7 1020
 
4.1%
Latin
ValueCountFrequency (%)
A 1190
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 26001
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 9492
36.5%
1 3469
 
13.3%
2 2204
 
8.5%
3 1899
 
7.3%
9 1601
 
6.2%
5 1412
 
5.4%
4 1323
 
5.1%
6 1306
 
5.0%
A 1190
 
4.6%
8 1085
 
4.2%

컨텐츠명
Text

Distinct2862
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Memory size22.7 KiB
2023-12-16T15:49:27.368877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length64
Median length43
Mean length12.031499
Min length1

Characters and Unicode

Total characters34759
Distinct characters1041
Distinct categories13 ?
Distinct scripts4 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2836 ?
Unique (%)98.2%

Sample

1st row내가 틀릴 수도 있습니다
2nd row사진으로 보는 우리 문화유산
3rd row어느 날, 내 죽음에 네가 들어왔다
4th row트렌드 코리아 2023
5th row파친코 1
ValueCountFrequency (%)
282
 
2.9%
1 107
 
1.1%
2 102
 
1.0%
3 57
 
0.6%
내 53
 
0.5%
이야기 48
 
0.5%
상 41
 
0.4%
하 40
 
0.4%
영어 38
 
0.4%
위한 37
 
0.4%
Other values (5187) 8922
91.7%
2023-12-16T15:49:28.980284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6844
 
19.7%
이 710
 
2.0%
의 698
 
2.0%
는 468
 
1.3%
기 460
 
1.3%
리 367
 
1.1%
아 343
 
1.0%
사 328
 
0.9%
한 319
 
0.9%
가 317
 
0.9%
Other values (1031) 23905
68.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 24342
70.0%
Space Separator 6844
 
19.7%
Decimal Number 1088
 
3.1%
Lowercase Letter 806
 
2.3%
Uppercase Letter 654
 
1.9%
Other Punctuation 354
 
1.0%
Dash Punctuation 291
 
0.8%
Close Punctuation 166
 
0.5%
Open Punctuation 166
 
0.5%
Math Symbol 42
 
0.1%
Other values (3) 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 710
 
2.9%
의 698
 
2.9%
는 468
 
1.9%
기 460
 
1.9%
리 367
 
1.5%
아 343
 
1.4%
사 328
 
1.3%
한 319
 
1.3%
가 317
 
1.3%
다 317
 
1.3%
Other values (942) 20015
82.2%
Uppercase Letter
ValueCountFrequency (%)
C 81
12.4%
I 78
11.9%
E 53
 
8.1%
B 51
 
7.8%
A 49
 
7.5%
T 45
 
6.9%
S 43
 
6.6%
O 38
 
5.8%
L 29
 
4.4%
P 25
 
3.8%
Other values (16) 162
24.8%
Lowercase Letter
ValueCountFrequency (%)
e 98
12.2%
o 71
 
8.8%
a 68
 
8.4%
n 65
 
8.1%
i 65
 
8.1%
r 63
 
7.8%
t 50
 
6.2%
s 42
 
5.2%
l 40
 
5.0%
m 38
 
4.7%
Other values (15) 206
25.6%
Other Punctuation
ValueCountFrequency (%)
, 176
49.7%
! 42
 
11.9%
? 31
 
8.8%
: 30
 
8.5%
. 21
 
5.9%
· 14
 
4.0%
' 14
 
4.0%
& 11
 
3.1%
% 8
 
2.3%
… 3
 
0.8%
Other values (2) 4
 
1.1%
Decimal Number
ValueCountFrequency (%)
1 267
24.5%
0 220
20.2%
2 214
19.7%
3 127
11.7%
4 72
 
6.6%
5 63
 
5.8%
8 35
 
3.2%
9 35
 
3.2%
7 28
 
2.6%
6 27
 
2.5%
Math Symbol
ValueCountFrequency (%)
> 13
31.0%
< 13
31.0%
+ 7
16.7%
× 5
 
11.9%
÷ 3
 
7.1%
~ 1
 
2.4%
Close Punctuation
ValueCountFrequency (%)
) 155
93.4%
] 11
 
6.6%
Open Punctuation
ValueCountFrequency (%)
( 155
93.4%
[ 11
 
6.6%
Other Number
ValueCountFrequency (%)
② 1
50.0%
① 1
50.0%
Space Separator
ValueCountFrequency (%)
6844
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 291
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 2
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 24330
70.0%
Common 8957
 
25.8%
Latin 1460
 
4.2%
Han 12
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 710
 
2.9%
의 698
 
2.9%
는 468
 
1.9%
기 460
 
1.9%
리 367
 
1.5%
아 343
 
1.4%
사 328
 
1.3%
한 319
 
1.3%
가 317
 
1.3%
다 317
 
1.3%
Other values (930) 20003
82.2%
Latin
ValueCountFrequency (%)
e 98
 
6.7%
C 81
 
5.5%
I 78
 
5.3%
o 71
 
4.9%
a 68
 
4.7%
n 65
 
4.5%
i 65
 
4.5%
r 63
 
4.3%
E 53
 
3.6%
B 51
 
3.5%
Other values (41) 767
52.5%
Common
ValueCountFrequency (%)
6844
76.4%
- 291
 
3.2%
1 267
 
3.0%
0 220
 
2.5%
2 214
 
2.4%
, 176
 
2.0%
) 155
 
1.7%
( 155
 
1.7%
3 127
 
1.4%
4 72
 
0.8%
Other values (28) 436
 
4.9%
Han
ValueCountFrequency (%)
李 1
8.3%
三 1
8.3%
張 1
8.3%
時 1
8.3%
四 1
8.3%
上 1
8.3%
下 1
8.3%
古 1
8.3%
木 1
8.3%
美 1
8.3%
Other values (2) 2
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 24320
70.0%
ASCII 10386
29.9%
None 22
 
0.1%
CJK 12
 
< 0.1%
Compat Jamo 10
 
< 0.1%
Punctuation 7
 
< 0.1%
Enclosed Alphanum 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6844
65.9%
- 291
 
2.8%
1 267
 
2.6%
0 220
 
2.1%
2 214
 
2.1%
, 176
 
1.7%
) 155
 
1.5%
( 155
 
1.5%
3 127
 
1.2%
e 98
 
0.9%
Other values (71) 1839
 
17.7%
Hangul
ValueCountFrequency (%)
이 710
 
2.9%
의 698
 
2.9%
는 468
 
1.9%
기 460
 
1.9%
리 367
 
1.5%
아 343
 
1.4%
사 328
 
1.3%
한 319
 
1.3%
가 317
 
1.3%
다 317
 
1.3%
Other values (926) 19993
82.2%
None
ValueCountFrequency (%)
· 14
63.6%
× 5
 
22.7%
÷ 3
 
13.6%
Compat Jamo
ValueCountFrequency (%)
ㆍ 7
70.0%
ㄱ 1
 
10.0%
ㄴ 1
 
10.0%
ㄷ 1
 
10.0%
Punctuation
ValueCountFrequency (%)
… 3
42.9%
‘ 2
28.6%
’ 2
28.6%
CJK
ValueCountFrequency (%)
李 1
8.3%
三 1
8.3%
張 1
8.3%
時 1
8.3%
四 1
8.3%
上 1
8.3%
下 1
8.3%
古 1
8.3%
木 1
8.3%
美 1
8.3%
Other values (2) 2
16.7%
Enclosed Alphanum
ValueCountFrequency (%)
② 1
50.0%
① 1
50.0%

출판사
Text

Distinct402
Distinct (%)13.9%
Missing0
Missing (%)0.0%
Memory size22.7 KiB
2023-12-16T15:49:30.223133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length4.637937
Min length1

Characters and Unicode

Total characters13399
Distinct characters403
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique154 ?
Unique (%)5.3%

Sample

1st row다산초당
2nd rowRHK
3rd row모모
4th row미래의창
5th row인플루엔셜
ValueCountFrequency (%)
돛대 122
 
4.1%
동화사랑연구소 99
 
3.3%
주)아툰즈 86
 
2.9%
도서출판 85
 
2.8%
이키드북 83
 
2.8%
엑스트라클래스 79
 
2.6%
라이터스 67
 
2.2%
원앤원북스 65
 
2.2%
대교출판 59
 
2.0%
유유 56
 
1.9%
Other values (401) 2211
73.4%
2023-12-16T15:49:32.564129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
스 729
 
5.4%
북 503
 
3.8%
이 442
 
3.3%
아 346
 
2.6%
사 272
 
2.0%
출 252
 
1.9%
판 252
 
1.9%
( 247
 
1.8%
) 247
 
1.8%
원 225
 
1.7%
Other values (393) 9884
73.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12399
92.5%
Open Punctuation 247
 
1.8%
Close Punctuation 247
 
1.8%
Uppercase Letter 148
 
1.1%
Space Separator 123
 
0.9%
Decimal Number 97
 
0.7%
Lowercase Letter 78
 
0.6%
Other Symbol 41
 
0.3%
Other Punctuation 19
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 729
 
5.9%
북 503
 
4.1%
이 442
 
3.6%
아 346
 
2.8%
사 272
 
2.2%
출 252
 
2.0%
판 252
 
2.0%
원 225
 
1.8%
대 221
 
1.8%
주 221
 
1.8%
Other values (351) 8936
72.1%
Uppercase Letter
ValueCountFrequency (%)
K 23
15.5%
O 20
13.5%
C 18
12.2%
B 17
11.5%
H 14
9.5%
R 9
 
6.1%
S 8
 
5.4%
N 8
 
5.4%
L 6
 
4.1%
E 5
 
3.4%
Other values (6) 20
13.5%
Lowercase Letter
ValueCountFrequency (%)
o 17
21.8%
e 12
15.4%
r 9
11.5%
a 7
9.0%
t 7
9.0%
b 5
 
6.4%
s 5
 
6.4%
n 4
 
5.1%
k 4
 
5.1%
d 3
 
3.8%
Other values (3) 5
 
6.4%
Decimal Number
ValueCountFrequency (%)
2 44
45.4%
1 44
45.4%
3 4
 
4.1%
0 4
 
4.1%
4 1
 
1.0%
Other Punctuation
ValueCountFrequency (%)
. 13
68.4%
& 3
 
15.8%
# 2
 
10.5%
? 1
 
5.3%
Open Punctuation
ValueCountFrequency (%)
( 247
100.0%
Close Punctuation
ValueCountFrequency (%)
) 247
100.0%
Space Separator
ValueCountFrequency (%)
123
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 41
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12391
92.5%
Common 733
 
5.5%
Latin 226
 
1.7%
Han 49
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 729
 
5.9%
북 503
 
4.1%
이 442
 
3.6%
아 346
 
2.8%
사 272
 
2.2%
출 252
 
2.0%
판 252
 
2.0%
원 225
 
1.8%
대 221
 
1.8%
주 221
 
1.8%
Other values (347) 8928
72.1%
Latin
ValueCountFrequency (%)
K 23
 
10.2%
O 20
 
8.8%
C 18
 
8.0%
o 17
 
7.5%
B 17
 
7.5%
H 14
 
6.2%
e 12
 
5.3%
R 9
 
4.0%
r 9
 
4.0%
S 8
 
3.5%
Other values (19) 79
35.0%
Common
ValueCountFrequency (%)
( 247
33.7%
) 247
33.7%
123
16.8%
2 44
 
6.0%
1 44
 
6.0%
. 13
 
1.8%
3 4
 
0.5%
0 4
 
0.5%
& 3
 
0.4%
# 2
 
0.3%
Other values (2) 2
 
0.3%
Han
ValueCountFrequency (%)
詩 20
40.8%
想 20
40.8%
知 3
 
6.1%
利 3
 
6.1%
世 3
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12350
92.2%
ASCII 959
 
7.2%
CJK 46
 
0.3%
None 41
 
0.3%
CJK Compat Ideographs 3
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
스 729
 
5.9%
북 503
 
4.1%
이 442
 
3.6%
아 346
 
2.8%
사 272
 
2.2%
출 252
 
2.0%
판 252
 
2.0%
원 225
 
1.8%
대 221
 
1.8%
주 221
 
1.8%
Other values (346) 8887
72.0%
ASCII
ValueCountFrequency (%)
( 247
25.8%
) 247
25.8%
123
12.8%
2 44
 
4.6%
1 44
 
4.6%
K 23
 
2.4%
O 20
 
2.1%
C 18
 
1.9%
o 17
 
1.8%
B 17
 
1.8%
Other values (31) 159
16.6%
None
ValueCountFrequency (%)
㈜ 41
100.0%
CJK
ValueCountFrequency (%)
詩 20
43.5%
想 20
43.5%
知 3
 
6.5%
世 3
 
6.5%
CJK Compat Ideographs
ValueCountFrequency (%)
利 3
100.0%

저자
Text

Distinct1255
Distinct (%)43.4%
Missing0
Missing (%)0.0%
Memory size22.7 KiB
2023-12-16T15:49:33.986242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length48
Mean length4.0138456
Min length2

Characters and Unicode

Total characters11596
Distinct characters563
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1078 ?
Unique (%)37.3%

Sample

1st row비욘 나티코 린데블라드
2nd row강형원
3rd row세이카 료겐
4th row김난도, 전미영, 최지혜, 이수진, 권정윤, 이준영, 이향은, 한다혜, 이혜원, 추예린
5th row이민진
ValueCountFrequency (%)
기타 1182
31.3%
편집부 78
 
2.1%
아툰즈 75
 
2.0%
채만식 26
 
0.7%
최래옥 23
 
0.6%
박완서 23
 
0.6%
정채봉 23
 
0.6%
편집 23
 
0.6%
김동인 19
 
0.5%
외 16
 
0.4%
Other values (1760) 2292
60.6%
2023-12-16T15:49:36.053947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
기 1217
 
10.5%
타 1205
 
10.4%
891
 
7.7%
, 324
 
2.8%
이 301
 
2.6%
김 293
 
2.5%
정 169
 
1.5%
영 134
 
1.2%
아 125
 
1.1%
스 116
 
1.0%
Other values (553) 6821
58.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10135
87.4%
Space Separator 891
 
7.7%
Other Punctuation 350
 
3.0%
Uppercase Letter 109
 
0.9%
Lowercase Letter 76
 
0.7%
Decimal Number 13
 
0.1%
Close Punctuation 11
 
0.1%
Open Punctuation 11
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 1217
 
12.0%
타 1205
 
11.9%
이 301
 
3.0%
김 293
 
2.9%
정 169
 
1.7%
영 134
 
1.3%
아 125
 
1.2%
스 116
 
1.1%
편 113
 
1.1%
박 112
 
1.1%
Other values (496) 6350
62.7%
Uppercase Letter
ValueCountFrequency (%)
S 16
14.7%
K 14
12.8%
B 10
 
9.2%
T 7
 
6.4%
P 7
 
6.4%
N 7
 
6.4%
L 6
 
5.5%
E 5
 
4.6%
A 5
 
4.6%
M 5
 
4.6%
Other values (13) 27
24.8%
Lowercase Letter
ValueCountFrequency (%)
e 16
21.1%
r 11
14.5%
a 11
14.5%
n 8
10.5%
t 5
 
6.6%
o 4
 
5.3%
s 4
 
5.3%
m 3
 
3.9%
l 3
 
3.9%
c 2
 
2.6%
Other values (8) 9
11.8%
Decimal Number
ValueCountFrequency (%)
2 5
38.5%
5 3
23.1%
0 2
 
15.4%
3 1
 
7.7%
1 1
 
7.7%
9 1
 
7.7%
Other Punctuation
ValueCountFrequency (%)
, 324
92.6%
. 19
 
5.4%
/ 4
 
1.1%
' 2
 
0.6%
? 1
 
0.3%
Close Punctuation
ValueCountFrequency (%)
) 8
72.7%
〉 3
 
27.3%
Open Punctuation
ValueCountFrequency (%)
( 8
72.7%
〈 3
 
27.3%
Space Separator
ValueCountFrequency (%)
891
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10135
87.4%
Common 1276
 
11.0%
Latin 185
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 1217
 
12.0%
타 1205
 
11.9%
이 301
 
3.0%
김 293
 
2.9%
정 169
 
1.7%
영 134
 
1.3%
아 125
 
1.2%
스 116
 
1.1%
편 113
 
1.1%
박 112
 
1.1%
Other values (496) 6350
62.7%
Latin
ValueCountFrequency (%)
e 16
 
8.6%
S 16
 
8.6%
K 14
 
7.6%
r 11
 
5.9%
a 11
 
5.9%
B 10
 
5.4%
n 8
 
4.3%
T 7
 
3.8%
P 7
 
3.8%
N 7
 
3.8%
Other values (31) 78
42.2%
Common
ValueCountFrequency (%)
891
69.8%
, 324
 
25.4%
. 19
 
1.5%
) 8
 
0.6%
( 8
 
0.6%
2 5
 
0.4%
/ 4
 
0.3%
5 3
 
0.2%
〉 3
 
0.2%
〈 3
 
0.2%
Other values (6) 8
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10135
87.4%
ASCII 1455
 
12.5%
None 6
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
기 1217
 
12.0%
타 1205
 
11.9%
이 301
 
3.0%
김 293
 
2.9%
정 169
 
1.7%
영 134
 
1.3%
아 125
 
1.2%
스 116
 
1.1%
편 113
 
1.1%
박 112
 
1.1%
Other values (496) 6350
62.7%
ASCII
ValueCountFrequency (%)
891
61.2%
, 324
 
22.3%
. 19
 
1.3%
e 16
 
1.1%
S 16
 
1.1%
K 14
 
1.0%
r 11
 
0.8%
a 11
 
0.8%
B 10
 
0.7%
n 8
 
0.5%
Other values (45) 135
 
9.3%
None
ValueCountFrequency (%)
〉 3
50.0%
〈 3
50.0%

등록일
Categorical

HIGH CORRELATION 

Distinct31
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size22.7 KiB
2008-11-05
1182 
2009-12-07
324 
2019-11-05
267 
2011-12-22
167 
2009-12-28
158 
Other values (26)
791 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row2022-12-05
2nd row2022-12-05
3rd row2022-12-05
4th row2022-12-05
5th row2022-12-05

Common Values

ValueCountFrequency (%)
2008-11-05 1182
40.9%
2009-12-07 324
 
11.2%
2019-11-05 267
 
9.2%
2011-12-22 167
 
5.8%
2009-12-28 158
 
5.5%
2010-12-14 102
 
3.5%
2009-06-23 89
 
3.1%
2017-05-15 83
 
2.9%
2011-09-29 80
 
2.8%
2010-05-27 76
 
2.6%
Other values (21) 361
 
12.5%

Length

2023-12-16T15:49:37.178746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2008-11-05 1182
40.9%
2009-12-07 324
 
11.2%
2019-11-05 267
 
9.2%
2011-12-22 167
 
5.8%
2009-12-28 158
 
5.5%
2010-12-14 102
 
3.5%
2009-06-23 89
 
3.1%
2017-05-15 83
 
2.9%
2011-09-29 80
 
2.8%
2010-05-27 76
 
2.6%
Other values (21) 361
 
12.5%

권수
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size22.7 KiB
5
2006 
3
613 
1
267 
8
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row3
3rd row3
4th row3
5th row3

Common Values

ValueCountFrequency (%)
5 2006
69.4%
3 613
 
21.2%
1 267
 
9.2%
8 3
 
0.1%

Length

2023-12-16T15:49:38.335534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T15:49:39.318174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
5 2006
69.4%
3 613
 
21.2%
1 267
 
9.2%
8 3
 
0.1%

누적대출
Real number (ℝ)

ZEROS 

Distinct101
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.4953271
Minimum0
Maximum206
Zeros959
Zeros (%)33.2%
Negative0
Negative (%)0.0%
Memory size25.5 KiB
2023-12-16T15:49:40.062967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q37
95-th percentile33.6
Maximum206
Range206
Interquartile range (IQR)7

Descriptive statistics

Standard deviation16.581309
Coefficient of variation (CV)2.2122196
Kurtosis34.388484
Mean7.4953271
Median Absolute Deviation (MAD)2
Skewness5.0460526
Sum21654
Variance274.93982
MonotonicityNot monotonic
2023-12-16T15:49:41.099633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 959
33.2%
1 407
14.1%
2 245
 
8.5%
3 180
 
6.2%
4 133
 
4.6%
5 121
 
4.2%
6 87
 
3.0%
7 65
 
2.2%
9 62
 
2.1%
8 52
 
1.8%
Other values (91) 578
20.0%
ValueCountFrequency (%)
0 959
33.2%
1 407
14.1%
2 245
 
8.5%
3 180
 
6.2%
4 133
 
4.6%
5 121
 
4.2%
6 87
 
3.0%
7 65
 
2.2%
8 52
 
1.8%
9 62
 
2.1%
ValueCountFrequency (%)
206 1
< 0.1%
189 1
< 0.1%
152 1
< 0.1%
150 1
< 0.1%
146 1
< 0.1%
145 1
< 0.1%
144 1
< 0.1%
137 1
< 0.1%
134 1
< 0.1%
133 1
< 0.1%

Interactions

2023-12-16T15:49:18.738890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T15:49:18.053889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T15:49:19.194069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T15:49:18.427992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-16T15:49:41.644571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호등록일권수누적대출
번호1.0000.9460.7830.210
등록일0.9461.0000.9490.546
권수0.7830.9491.0000.258
누적대출0.2100.5460.2581.000
2023-12-16T15:49:42.402272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
등록일권수
등록일1.0000.813
권수0.8131.000
2023-12-16T15:49:43.164470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호누적대출등록일권수
번호1.000-0.2020.7190.601
누적대출-0.2021.0000.2350.166
등록일0.7190.2351.0000.813
권수0.6010.1660.8131.000

Missing values

2023-12-16T15:49:20.022345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-16T15:49:20.575183image/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

번호컨텐츠번호컨텐츠명출판사저자등록일권수누적대출
01220406100내가 틀릴 수도 있습니다다산초당비욘 나티코 린데블라드2022-12-05341
12221003669사진으로 보는 우리 문화유산RHK강형원2022-12-05311
23220805378어느 날, 내 죽음에 네가 들어왔다모모세이카 료겐2022-12-05314
34221000784트렌드 코리아 2023미래의창김난도, 전미영, 최지혜, 이수진, 권정윤, 이준영, 이향은, 한다혜, 이혜원, 추예린2022-12-05333
45220904990파친코 1인플루엔셜이민진2022-12-05333
56220904991파친코 2인플루엔셜이민진2022-12-05315
67220805720계속 가보겠습니다(주)메디치미디어임은정2022-09-2036
78220702610긴축의 시대21세기북스김광석2022-09-20317
89220701688넛지: 파이널 에디션리더스북리처드 H. 탈러2022-09-20331
910220702026비터스위트RHK수전 케인2022-09-20324
번호컨텐츠번호컨텐츠명출판사저자등록일권수누적대출
28792880A03080486황소와 도깨비가교기타2008-11-0551
28802881A03040456황소와 바꾼 무동화사랑연구소기타2008-11-0550
28812882A03040458효양고개동화사랑연구소기타2008-11-0551
28822883A04041690흉내쟁이 원숭이 우화 - 숨은 의미를 찾아가는 책 4파랑새어린이기타2008-11-0551
28832884A03021439흉내쟁이 찍찍이동화사랑연구소기타2008-11-0552
28842885A05051027흔들리는 국제 유가, 불안한 한국 경제라이터스기타2008-11-0550
28852886A06070755흥부 놀부 - 우리아기 처음보는 옛 이야기 7대교출판기타2008-11-0552
28862887A03020425흥부전작가문화기타2008-11-0554
28872888A03021440흰눈 내리는 날동화사랑연구소기타2008-11-0553
28882889A98076146히딩크의 'He thinks'선영사기타2008-11-0551