Overview

Dataset statistics

Number of variables7
Number of observations10000
Missing cells2
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory634.8 KiB
Average record size in memory65.0 B

Variable types

Numeric1
Text4
Unsupported1
DateTime1

Dataset

Description대구광역시 중구의 영어도서관 보유 도서목록(연번,등록번호,청구기호,도서명,저자명,발행자명,기준일자 등)의 정보를 제공합니다.
Author대구광역시 중구
URLhttps://www.data.go.kr/data/15054149/fileData.do

Alerts

기준일자 has constant value ""Constant
연번 has unique valuesUnique
등록번호 has unique valuesUnique
도서명 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-12 04:01:03.792933
Analysis finished2023-12-12 04:01:05.102309
Duration1.31 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10319.807
Minimum1
Maximum20606
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T13:01:05.205362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1046.9
Q15166.5
median10268.5
Q315493.75
95-th percentile19591.15
Maximum20606
Range20605
Interquartile range (IQR)10327.25

Descriptive statistics

Standard deviation5953.5306
Coefficient of variation (CV)0.5769033
Kurtosis-1.1998017
Mean10319.807
Median Absolute Deviation (MAD)5169
Skewness-0.0027960942
Sum1.0319807 × 108
Variance35444527
MonotonicityNot monotonic
2023-12-12T13:01:05.368555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15120 1
 
< 0.1%
11918 1
 
< 0.1%
10546 1
 
< 0.1%
11024 1
 
< 0.1%
2508 1
 
< 0.1%
17878 1
 
< 0.1%
18029 1
 
< 0.1%
15304 1
 
< 0.1%
18239 1
 
< 0.1%
10391 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
1 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
10 1
< 0.1%
11 1
< 0.1%
13 1
< 0.1%
14 1
< 0.1%
15 1
< 0.1%
20 1
< 0.1%
ValueCountFrequency (%)
20606 1
< 0.1%
20604 1
< 0.1%
20603 1
< 0.1%
20601 1
< 0.1%
20600 1
< 0.1%
20599 1
< 0.1%
20598 1
< 0.1%
20597 1
< 0.1%
20596 1
< 0.1%
20594 1
< 0.1%

등록번호
Text

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T13:01:05.603570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters120000
Distinct characters13
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

Unique10000 ?
Unique (%)100.0%

Sample

1st rowCZN000015120
2nd rowCZN000016211
3rd rowCZN000007089
4th rowCZN000007696
5th rowCZN000001190
ValueCountFrequency (%)
czn000015120 1
 
< 0.1%
czn000015304 1
 
< 0.1%
czn000000034 1
 
< 0.1%
czn000008427 1
 
< 0.1%
czn000010546 1
 
< 0.1%
czn000011024 1
 
< 0.1%
czn000002508 1
 
< 0.1%
czn000017878 1
 
< 0.1%
czn000018029 1
 
< 0.1%
czn000011918 1
 
< 0.1%
Other values (9990) 9990
99.9%
2023-12-12T13:01:06.087898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 49162
41.0%
C 10000
 
8.3%
Z 10000
 
8.3%
N 10000
 
8.3%
1 8860
 
7.4%
2 4273
 
3.6%
9 3996
 
3.3%
5 3988
 
3.3%
4 3978
 
3.3%
8 3961
 
3.3%
Other values (3) 11782
 
9.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 90000
75.0%
Uppercase Letter 30000
 
25.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 49162
54.6%
1 8860
 
9.8%
2 4273
 
4.7%
9 3996
 
4.4%
5 3988
 
4.4%
4 3978
 
4.4%
8 3961
 
4.4%
7 3941
 
4.4%
3 3927
 
4.4%
6 3914
 
4.3%
Uppercase Letter
ValueCountFrequency (%)
C 10000
33.3%
Z 10000
33.3%
N 10000
33.3%

Most occurring scripts

ValueCountFrequency (%)
Common 90000
75.0%
Latin 30000
 
25.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 49162
54.6%
1 8860
 
9.8%
2 4273
 
4.7%
9 3996
 
4.4%
5 3988
 
4.4%
4 3978
 
4.4%
8 3961
 
4.4%
7 3941
 
4.4%
3 3927
 
4.4%
6 3914
 
4.3%
Latin
ValueCountFrequency (%)
C 10000
33.3%
Z 10000
33.3%
N 10000
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 120000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 49162
41.0%
C 10000
 
8.3%
Z 10000
 
8.3%
N 10000
 
8.3%
1 8860
 
7.4%
2 4273
 
3.6%
9 3996
 
3.3%
5 3988
 
3.3%
4 3978
 
3.3%
8 3961
 
3.3%
Other values (3) 11782
 
9.8%

청구기호
Text

Distinct9896
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T13:01:06.449895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length20
Mean length14.0712
Min length8

Characters and Unicode

Total characters140712
Distinct characters81
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

Unique9806 ?
Unique (%)98.1%

Sample

1st rowC 630-H236g-6
2nd rowEN 843-C182m
3rd rowC 843-F611a
4th rowSE 740-M194w-16=2
5th rowSR 747.08-S958s-5-1
ValueCountFrequency (%)
c 2712
 
14.5%
sr 1965
 
10.5%
sc 960
 
5.1%
ss 664
 
3.5%
t 587
 
3.1%
se 571
 
3.0%
en 402
 
2.1%
sp 318
 
1.7%
awd 235
 
1.3%
gn 157
 
0.8%
Other values (9805) 10184
54.3%
2023-12-12T13:01:07.016679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 18417
13.1%
8 12919
 
9.2%
4 12124
 
8.6%
3 9717
 
6.9%
8755
 
6.2%
7 7489
 
5.3%
2 6934
 
4.9%
1 6721
 
4.8%
S 6623
 
4.7%
5 5454
 
3.9%
Other values (71) 45559
32.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 74807
53.2%
Uppercase Letter 24904
 
17.7%
Dash Punctuation 18417
 
13.1%
Lowercase Letter 10008
 
7.1%
Space Separator 8755
 
6.2%
Other Punctuation 3063
 
2.2%
Math Symbol 656
 
0.5%
Other Letter 102
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
s 967
 
9.7%
m 739
 
7.4%
w 707
 
7.1%
c 657
 
6.6%
h 647
 
6.5%
o 606
 
6.1%
r 596
 
6.0%
p 584
 
5.8%
b 520
 
5.2%
g 518
 
5.2%
Other values (16) 3467
34.6%
Uppercase Letter
ValueCountFrequency (%)
S 6623
26.6%
C 4232
17.0%
R 2902
11.7%
E 1068
 
4.3%
P 967
 
3.9%
B 923
 
3.7%
W 921
 
3.7%
T 912
 
3.7%
M 837
 
3.4%
H 753
 
3.0%
Other values (15) 4766
19.1%
Other Letter
ValueCountFrequency (%)
ㅇ 33
32.4%
영 20
19.6%
ㅁ 13
 
12.7%
어 10
 
9.8%
장 7
 
6.9%
이 5
 
4.9%
김 3
 
2.9%
ㅅ 2
 
2.0%
박 2
 
2.0%
무 1
 
1.0%
Other values (6) 6
 
5.9%
Decimal Number
ValueCountFrequency (%)
8 12919
17.3%
4 12124
16.2%
3 9717
13.0%
7 7489
10.0%
2 6934
9.3%
1 6721
9.0%
5 5454
7.3%
9 5362
7.2%
6 4430
 
5.9%
0 3657
 
4.9%
Dash Punctuation
ValueCountFrequency (%)
- 18417
100.0%
Space Separator
ValueCountFrequency (%)
8755
100.0%
Other Punctuation
ValueCountFrequency (%)
. 3063
100.0%
Math Symbol
ValueCountFrequency (%)
= 656
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 105698
75.1%
Latin 34912
 
24.8%
Hangul 102
 
0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
S 6623
19.0%
C 4232
 
12.1%
R 2902
 
8.3%
E 1068
 
3.1%
P 967
 
2.8%
s 967
 
2.8%
B 923
 
2.6%
W 921
 
2.6%
T 912
 
2.6%
M 837
 
2.4%
Other values (41) 14560
41.7%
Hangul
ValueCountFrequency (%)
ㅇ 33
32.4%
영 20
19.6%
ㅁ 13
 
12.7%
어 10
 
9.8%
장 7
 
6.9%
이 5
 
4.9%
김 3
 
2.9%
ㅅ 2
 
2.0%
박 2
 
2.0%
무 1
 
1.0%
Other values (6) 6
 
5.9%
Common
ValueCountFrequency (%)
- 18417
17.4%
8 12919
12.2%
4 12124
11.5%
3 9717
9.2%
8755
8.3%
7 7489
7.1%
2 6934
 
6.6%
1 6721
 
6.4%
5 5454
 
5.2%
9 5362
 
5.1%
Other values (4) 11806
11.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 140610
99.9%
Hangul 53
 
< 0.1%
Compat Jamo 49
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 18417
13.1%
8 12919
 
9.2%
4 12124
 
8.6%
3 9717
 
6.9%
8755
 
6.2%
7 7489
 
5.3%
2 6934
 
4.9%
1 6721
 
4.8%
S 6623
 
4.7%
5 5454
 
3.9%
Other values (55) 45457
32.3%
Compat Jamo
ValueCountFrequency (%)
ㅇ 33
67.3%
ㅁ 13
 
26.5%
ㅅ 2
 
4.1%
ㅊ 1
 
2.0%
Hangul
ValueCountFrequency (%)
영 20
37.7%
어 10
18.9%
장 7
 
13.2%
이 5
 
9.4%
김 3
 
5.7%
박 2
 
3.8%
무 1
 
1.9%
조 1
 
1.9%
부 1
 
1.9%
생 1
 
1.9%
Other values (2) 2
 
3.8%

도서명
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size156.2 KiB

저자명
Text

Distinct6319
Distinct (%)63.2%
Missing2
Missing (%)< 0.1%
Memory size156.2 KiB
2023-12-12T13:01:07.508934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length231
Median length128
Mean length34.945289
Min length5

Characters and Unicode

Total characters349383
Distinct characters249
Distinct categories13 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5074 ?
Unique (%)50.8%

Sample

1st rowby Ruth Owen
2nd rowby Ann Cameron ; drawings by Thomas B. Allen
3rd rowby Vivienne Flesher
4th rowJim Schembri ; Gus Gordon
5th rowby Joy Cowley ; illustation by Derdre Gardiner
ValueCountFrequency (%)
by 13266
 
21.7%
5559
 
9.1%
illustrated 3184
 
5.2%
written 947
 
1.6%
and 369
 
0.6%
illustrations 330
 
0.5%
david 319
 
0.5%
story 319
 
0.5%
pictures 284
 
0.5%
john 239
 
0.4%
Other values (7051) 36178
59.3%
2023-12-12T13:01:08.086248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
52202
14.9%
e 26335
 
7.5%
a 23948
 
6.9%
r 20652
 
5.9%
t 19556
 
5.6%
l 19143
 
5.5%
i 19134
 
5.5%
y 18195
 
5.2%
n 17782
 
5.1%
b 15296
 
4.4%
Other values (239) 117140
33.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 251719
72.0%
Space Separator 52202
 
14.9%
Uppercase Letter 34758
 
9.9%
Other Punctuation 8344
 
2.4%
Other Letter 1628
 
0.5%
Dash Punctuation 236
 
0.1%
Open Punctuation 229
 
0.1%
Close Punctuation 228
 
0.1%
Modifier Symbol 21
 
< 0.1%
Decimal Number 11
 
< 0.1%
Other values (3) 7
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
림 100
 
6.1%
그 99
 
6.1%
어 50
 
3.1%
지 48
 
2.9%
인 44
 
2.7%
음 43
 
2.6%
영 41
 
2.5%
글 40
 
2.5%
구 38
 
2.3%
아 34
 
2.1%
Other values (157) 1091
67.0%
Lowercase Letter
ValueCountFrequency (%)
e 26335
10.5%
a 23948
9.5%
r 20652
 
8.2%
t 19556
 
7.8%
l 19143
 
7.6%
i 19134
 
7.6%
y 18195
 
7.2%
n 17782
 
7.1%
b 15296
 
6.1%
o 12485
 
5.0%
Other values (18) 59193
23.5%
Uppercase Letter
ValueCountFrequency (%)
M 3397
 
9.8%
S 3028
 
8.7%
B 2512
 
7.2%
J 2488
 
7.2%
R 2194
 
6.3%
A 2191
 
6.3%
D 2169
 
6.2%
C 2130
 
6.1%
L 1859
 
5.3%
H 1831
 
5.3%
Other values (16) 10959
31.5%
Other Punctuation
ValueCountFrequency (%)
; 5508
66.0%
. 2202
 
26.4%
, 410
 
4.9%
' 62
 
0.7%
: 55
 
0.7%
& 39
 
0.5%
? 22
 
0.3%
＆ 15
 
0.2%
" 14
 
0.2%
· 10
 
0.1%
Other values (3) 7
 
0.1%
Decimal Number
ValueCountFrequency (%)
1 3
27.3%
8 3
27.3%
3 2
18.2%
2 2
18.2%
0 1
 
9.1%
Open Punctuation
ValueCountFrequency (%)
[ 222
96.9%
( 7
 
3.1%
Close Punctuation
ValueCountFrequency (%)
] 221
96.9%
) 7
 
3.1%
Space Separator
ValueCountFrequency (%)
52202
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 236
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 21
100.0%
Math Symbol
ValueCountFrequency (%)
= 3
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 3
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 286477
82.0%
Common 61278
 
17.5%
Hangul 1619
 
0.5%
Han 9
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
림 100
 
6.2%
그 99
 
6.1%
어 50
 
3.1%
지 48
 
3.0%
인 44
 
2.7%
음 43
 
2.7%
영 41
 
2.5%
글 40
 
2.5%
구 38
 
2.3%
아 34
 
2.1%
Other values (148) 1082
66.8%
Latin
ValueCountFrequency (%)
e 26335
 
9.2%
a 23948
 
8.4%
r 20652
 
7.2%
t 19556
 
6.8%
l 19143
 
6.7%
i 19134
 
6.7%
y 18195
 
6.4%
n 17782
 
6.2%
b 15296
 
5.3%
o 12485
 
4.4%
Other values (44) 93951
32.8%
Common
ValueCountFrequency (%)
52202
85.2%
; 5508
 
9.0%
. 2202
 
3.6%
, 410
 
0.7%
- 236
 
0.4%
[ 222
 
0.4%
] 221
 
0.4%
' 62
 
0.1%
: 55
 
0.1%
& 39
 
0.1%
Other values (18) 121
 
0.2%
Han
ValueCountFrequency (%)
話 1
11.1%
童 1
11.1%
緖 1
11.1%
婉 1
11.1%
朴 1
11.1%
金 1
11.1%
揷 1
11.1%
世 1
11.1%
賢 1
11.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 347721
99.5%
Hangul 1619
 
0.5%
None 33
 
< 0.1%
CJK 9
 
< 0.1%
Punctuation 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
52202
15.0%
e 26335
 
7.6%
a 23948
 
6.9%
r 20652
 
5.9%
t 19556
 
5.6%
l 19143
 
5.5%
i 19134
 
5.5%
y 18195
 
5.2%
n 17782
 
5.1%
b 15296
 
4.4%
Other values (66) 115478
33.2%
Hangul
ValueCountFrequency (%)
림 100
 
6.2%
그 99
 
6.1%
어 50
 
3.1%
지 48
 
3.0%
인 44
 
2.7%
음 43
 
2.7%
영 41
 
2.5%
글 40
 
2.5%
구 38
 
2.3%
아 34
 
2.1%
Other values (148) 1082
66.8%
None
ValueCountFrequency (%)
＆ 15
45.5%
· 10
30.3%
＇ 5
 
15.2%
ø 2
 
6.1%
æ 1
 
3.0%
CJK
ValueCountFrequency (%)
話 1
11.1%
童 1
11.1%
緖 1
11.1%
婉 1
11.1%
朴 1
11.1%
金 1
11.1%
揷 1
11.1%
世 1
11.1%
賢 1
11.1%
Punctuation
ValueCountFrequency (%)
’ 1
100.0%

발행자명
Text

Distinct1755
Distinct (%)17.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T13:01:08.485762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length44
Mean length14.7599
Min length2

Characters and Unicode

Total characters147599
Distinct characters184
Distinct categories13 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique960 ?
Unique (%)9.6%

Sample

1st rowGareth Stevens
2nd rowa yearling book
3rd rowHarpercollins
4th rowWorldCom
5th rowCompass media
ValueCountFrequency (%)
books 1511
 
7.4%
press 1269
 
6.2%
scholastic 721
 
3.5%
house 503
 
2.5%
oxford 471
 
2.3%
university 434
 
2.1%
random 382
 
1.9%
358
 
1.7%
pub 293
 
1.4%
publishing 264
 
1.3%
Other values (1299) 14265
69.7%
2023-12-12T13:01:09.132119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
o 12040
 
8.2%
r 10760
 
7.3%
e 10730
 
7.3%
10490
 
7.1%
s 10359
 
7.0%
i 8792
 
6.0%
n 8621
 
5.8%
a 7723
 
5.2%
l 5711
 
3.9%
t 5234
 
3.5%
Other values (174) 57139
38.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 113011
76.6%
Uppercase Letter 20291
 
13.7%
Space Separator 10490
 
7.1%
Other Letter 1814
 
1.2%
Other Punctuation 1763
 
1.2%
Dash Punctuation 100
 
0.1%
Modifier Symbol 66
 
< 0.1%
Open Punctuation 25
 
< 0.1%
Close Punctuation 25
 
< 0.1%
Math Symbol 5
 
< 0.1%
Other values (3) 9
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
어 178
 
9.8%
진 131
 
7.2%
문 128
 
7.1%
미 126
 
6.9%
디 125
 
6.9%
스 79
 
4.4%
국 77
 
4.2%
사 66
 
3.6%
리 46
 
2.5%
외 45
 
2.5%
Other values (95) 813
44.8%
Lowercase Letter
ValueCountFrequency (%)
o 12040
10.7%
r 10760
 
9.5%
e 10730
 
9.5%
s 10359
 
9.2%
i 8792
 
7.8%
n 8621
 
7.6%
a 7723
 
6.8%
l 5711
 
5.1%
t 5234
 
4.6%
d 4112
 
3.6%
Other values (16) 28929
25.6%
Uppercase Letter
ValueCountFrequency (%)
P 2912
14.4%
C 2120
 
10.4%
B 1832
 
9.0%
S 1830
 
9.0%
H 1796
 
8.9%
R 1288
 
6.3%
G 826
 
4.1%
L 822
 
4.1%
M 791
 
3.9%
W 768
 
3.8%
Other values (16) 5306
26.1%
Other Punctuation
ValueCountFrequency (%)
& 417
23.7%
: 378
21.4%
' 333
18.9%
. 304
17.2%
, 173
9.8%
＆ 110
 
6.2%
/ 31
 
1.8%
; 5
 
0.3%
· 5
 
0.3%
! 2
 
0.1%
Other values (4) 5
 
0.3%
Decimal Number
ValueCountFrequency (%)
2 3
60.0%
7 1
 
20.0%
4 1
 
20.0%
Open Punctuation
ValueCountFrequency (%)
[ 16
64.0%
( 9
36.0%
Close Punctuation
ValueCountFrequency (%)
] 16
64.0%
) 9
36.0%
Space Separator
ValueCountFrequency (%)
10490
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 100
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 66
100.0%
Math Symbol
ValueCountFrequency (%)
+ 5
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 3
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 133302
90.3%
Common 12483
 
8.5%
Hangul 1814
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
어 178
 
9.8%
진 131
 
7.2%
문 128
 
7.1%
미 126
 
6.9%
디 125
 
6.9%
스 79
 
4.4%
국 77
 
4.2%
사 66
 
3.6%
리 46
 
2.5%
외 45
 
2.5%
Other values (95) 813
44.8%
Latin
ValueCountFrequency (%)
o 12040
 
9.0%
r 10760
 
8.1%
e 10730
 
8.0%
s 10359
 
7.8%
i 8792
 
6.6%
n 8621
 
6.5%
a 7723
 
5.8%
l 5711
 
4.3%
t 5234
 
3.9%
d 4112
 
3.1%
Other values (42) 49220
36.9%
Common
ValueCountFrequency (%)
10490
84.0%
& 417
 
3.3%
: 378
 
3.0%
' 333
 
2.7%
. 304
 
2.4%
, 173
 
1.4%
＆ 110
 
0.9%
- 100
 
0.8%
` 66
 
0.5%
/ 31
 
0.2%
Other values (17) 81
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 145665
98.7%
Hangul 1814
 
1.2%
None 118
 
0.1%
Punctuation 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
o 12040
 
8.3%
r 10760
 
7.4%
e 10730
 
7.4%
10490
 
7.2%
s 10359
 
7.1%
i 8792
 
6.0%
n 8621
 
5.9%
a 7723
 
5.3%
l 5711
 
3.9%
t 5234
 
3.6%
Other values (63) 55205
37.9%
Hangul
ValueCountFrequency (%)
어 178
 
9.8%
진 131
 
7.2%
문 128
 
7.1%
미 126
 
6.9%
디 125
 
6.9%
스 79
 
4.4%
국 77
 
4.2%
사 66
 
3.6%
리 46
 
2.5%
외 45
 
2.5%
Other values (95) 813
44.8%
None
ValueCountFrequency (%)
＆ 110
93.2%
· 5
 
4.2%
＠ 2
 
1.7%
＇ 1
 
0.8%
Punctuation
ValueCountFrequency (%)
′ 1
50.0%
’ 1
50.0%

기준일자
Date

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2022-08-19 00:00:00
Maximum2022-08-19 00:00:00
2023-12-12T13:01:09.328056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:01:09.460455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T13:01:04.738869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-12-12T13:01:04.881060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T13:01:05.039044image/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

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