Overview

Dataset statistics

Number of variables7
Number of observations10000
Missing cells5
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
Categorical3
Text3

Dataset

Description경상북도 울진군 공공도서관(작은도서관 포함) 도서목록 현황(도서관명, 서명, 저작자, 발행자, 발행년도 등)을 제공합니다.
URLhttps://www.data.go.kr/data/15091503/fileData.do

Alerts

도서관명 has constant value ""Constant
기준일자 has constant value ""Constant
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 04:32:58.699079
Analysis finished2023-12-12 04:33:01.309132
Duration2.61 seconds
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%
Mean34608.729
Minimum19
Maximum69434
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T13:33:01.394073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19
5-th percentile3484.1
Q117217.5
median34330.5
Q351966.25
95-th percentile66092.4
Maximum69434
Range69415
Interquartile range (IQR)34748.75

Descriptive statistics

Standard deviation20046.236
Coefficient of variation (CV)0.57922485
Kurtosis-1.1902957
Mean34608.729
Median Absolute Deviation (MAD)17346
Skewness0.021303013
Sum3.4608729 × 108
Variance4.0185157 × 108
MonotonicityNot monotonic
2023-12-12T13:33:01.625023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37633 1
 
< 0.1%
932 1
 
< 0.1%
20161 1
 
< 0.1%
17083 1
 
< 0.1%
681 1
 
< 0.1%
35365 1
 
< 0.1%
51487 1
 
< 0.1%
26261 1
 
< 0.1%
66205 1
 
< 0.1%
2980 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
19 1
< 0.1%
28 1
< 0.1%
36 1
< 0.1%
37 1
< 0.1%
51 1
< 0.1%
56 1
< 0.1%
61 1
< 0.1%
64 1
< 0.1%
65 1
< 0.1%
88 1
< 0.1%
ValueCountFrequency (%)
69434 1
< 0.1%
69421 1
< 0.1%
69420 1
< 0.1%
69412 1
< 0.1%
69406 1
< 0.1%
69404 1
< 0.1%
69396 1
< 0.1%
69395 1
< 0.1%
69365 1
< 0.1%
69361 1
< 0.1%

도서관명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
울진남부도서관
10000 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
울진남부도서관 10000
100.0%

Length

2023-12-12T13:33:01.810123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:33:01.932767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
울진남부도서관 10000
100.0%

서명
Text

Distinct9641
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T13:33:02.233557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length610
Median length228
Mean length38.8688
Min length1

Characters and Unicode

Total characters388688
Distinct characters1530
Distinct categories8 ?
Distinct scripts7 ?
Distinct blocks9 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9338 ?
Unique (%)93.4%

Sample

1st row여우아저씨황금똥을부탁해 초등저학년을위한건강식습관동화
2nd row가슴뛰는삶의이력서로다시써라인생의롤모델을찾아떠난인터뷰세계여행
3rd row나는개다 나는 개다 그림책이참좋아 그림책이 참좋아 참 좋아
4th row보고만지고냄새맡고물질 한솔어메이징사이언스
5th row장바구니는왜엄마를울렸을까
ValueCountFrequency (%)
이야기 186
 
0.4%
그림책 135
 
0.3%
시리즈 123
 
0.3%
장편소설 95
 
0.2%
위한 90
 
0.2%
창비아동문고 87
 
0.2%
우리 85
 
0.2%
세계문학전집 64
 
0.1%
어린이 60
 
0.1%
역사 55
 
0.1%
Other values (33009) 46071
97.9%
2023-12-12T13:33:02.835129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
37316
 
9.6%
E 8130
 
2.1%
이 8031
 
2.1%
의 6836
 
1.8%
O 5654
 
1.5%
기 5533
 
1.4%
I 5447
 
1.4%
A 5359
 
1.4%
는 5249
 
1.4%
N 4764
 
1.2%
Other values (1520) 296369
76.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 276741
71.2%
Uppercase Letter 69228
 
17.8%
Space Separator 37316
 
9.6%
Decimal Number 5260
 
1.4%
Lowercase Letter 120
 
< 0.1%
Other Punctuation 11
 
< 0.1%
Letter Number 9
 
< 0.1%
Other Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 8031
 
2.9%
의 6836
 
2.5%
기 5533
 
2.0%
는 5249
 
1.9%
사 4517
 
1.6%
리 4466
 
1.6%
한 3964
 
1.4%
아 3602
 
1.3%
지 3535
 
1.3%
학 3513
 
1.3%
Other values (1431) 227495
82.2%
Uppercase Letter
ValueCountFrequency (%)
E 8130
11.7%
O 5654
 
8.2%
I 5447
 
7.9%
A 5359
 
7.7%
N 4764
 
6.9%
T 4738
 
6.8%
R 4611
 
6.7%
S 4507
 
6.5%
L 3335
 
4.8%
C 2607
 
3.8%
Other values (33) 20076
29.0%
Lowercase Letter
ValueCountFrequency (%)
а 12
 
10.0%
е 12
 
10.0%
и 10
 
8.3%
о 8
 
6.7%
н 8
 
6.7%
с 8
 
6.7%
р 7
 
5.8%
л 7
 
5.8%
т 6
 
5.0%
в 5
 
4.2%
Other values (19) 37
30.8%
Decimal Number
ValueCountFrequency (%)
0 1458
27.7%
1 1230
23.4%
2 681
12.9%
3 458
 
8.7%
5 369
 
7.0%
4 279
 
5.3%
7 230
 
4.4%
8 207
 
3.9%
9 175
 
3.3%
6 173
 
3.3%
Letter Number
ValueCountFrequency (%)
Ⅴ 6
66.7%
Ⅷ 2
 
22.2%
Ⅰ 1
 
11.1%
Other Punctuation
ValueCountFrequency (%)
" 6
54.5%
? 5
45.5%
Space Separator
ValueCountFrequency (%)
37316
100.0%
Other Symbol
ValueCountFrequency (%)
㎞ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 275548
70.9%
Latin 69218
 
17.8%
Common 42590
 
11.0%
Hiragana 911
 
0.2%
Katakana 282
 
0.1%
Cyrillic 122
 
< 0.1%
Greek 17
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 8031
 
2.9%
의 6836
 
2.5%
기 5533
 
2.0%
는 5249
 
1.9%
사 4517
 
1.6%
리 4466
 
1.6%
한 3964
 
1.4%
아 3602
 
1.3%
지 3535
 
1.3%
학 3513
 
1.3%
Other values (1301) 226302
82.1%
Hiragana
ValueCountFrequency (%)
の 111
 
12.2%
い 47
 
5.2%
と 41
 
4.5%
な 38
 
4.2%
ん 34
 
3.7%
る 32
 
3.5%
た 32
 
3.5%
ま 25
 
2.7%
く 25
 
2.7%
は 24
 
2.6%
Other values (56) 502
55.1%
Katakana
ValueCountFrequency (%)
ン 21
 
7.4%
ス 16
 
5.7%
ア 15
 
5.3%
ラ 13
 
4.6%
イ 10
 
3.5%
ル 10
 
3.5%
リ 9
 
3.2%
ト 9
 
3.2%
オ 8
 
2.8%
ク 8
 
2.8%
Other values (54) 163
57.8%
Latin
ValueCountFrequency (%)
E 8130
11.7%
O 5654
 
8.2%
I 5447
 
7.9%
A 5359
 
7.7%
N 4764
 
6.9%
T 4738
 
6.8%
R 4611
 
6.7%
S 4507
 
6.5%
L 3335
 
4.8%
C 2607
 
3.8%
Other values (23) 20066
29.0%
Cyrillic
ValueCountFrequency (%)
а 12
 
9.8%
е 12
 
9.8%
и 10
 
8.2%
о 8
 
6.6%
н 8
 
6.6%
с 8
 
6.6%
р 7
 
5.7%
л 7
 
5.7%
т 6
 
4.9%
в 5
 
4.1%
Other values (21) 39
32.0%
Common
ValueCountFrequency (%)
37316
87.6%
0 1458
 
3.4%
1 1230
 
2.9%
2 681
 
1.6%
3 458
 
1.1%
5 369
 
0.9%
4 279
 
0.7%
7 230
 
0.5%
8 207
 
0.5%
9 175
 
0.4%
Other values (4) 187
 
0.4%
Greek
ValueCountFrequency (%)
Α 4
23.5%
β 2
11.8%
Τ 2
11.8%
Λ 2
11.8%
Ο 1
 
5.9%
Π 1
 
5.9%
Κ 1
 
5.9%
Ι 1
 
5.9%
Ε 1
 
5.9%
Ρ 1
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 275498
70.9%
ASCII 111789
28.8%
Hiragana 911
 
0.2%
Katakana 282
 
0.1%
Cyrillic 122
 
< 0.1%
Compat Jamo 50
 
< 0.1%
None 24
 
< 0.1%
Number Forms 9
 
< 0.1%
CJK Compat 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
37316
33.4%
E 8130
 
7.3%
O 5654
 
5.1%
I 5447
 
4.9%
A 5359
 
4.8%
N 4764
 
4.3%
T 4738
 
4.2%
R 4611
 
4.1%
S 4507
 
4.0%
L 3335
 
3.0%
Other values (29) 27928
25.0%
Hangul
ValueCountFrequency (%)
이 8031
 
2.9%
의 6836
 
2.5%
기 5533
 
2.0%
는 5249
 
1.9%
사 4517
 
1.6%
리 4466
 
1.6%
한 3964
 
1.4%
아 3602
 
1.3%
지 3535
 
1.3%
학 3513
 
1.3%
Other values (1291) 226252
82.1%
Hiragana
ValueCountFrequency (%)
の 111
 
12.2%
い 47
 
5.2%
と 41
 
4.5%
な 38
 
4.2%
ん 34
 
3.7%
る 32
 
3.5%
た 32
 
3.5%
ま 25
 
2.7%
く 25
 
2.7%
は 24
 
2.6%
Other values (56) 502
55.1%
Compat Jamo
ValueCountFrequency (%)
ㅣ 23
46.0%
ㆍ 7
 
14.0%
ㄱ 5
 
10.0%
ㅁ 4
 
8.0%
ㅇ 3
 
6.0%
ㅅ 2
 
4.0%
ㅍ 2
 
4.0%
ㄹ 2
 
4.0%
ㅜ 1
 
2.0%
ㅂ 1
 
2.0%
Katakana
ValueCountFrequency (%)
ン 21
 
7.4%
ス 16
 
5.7%
ア 15
 
5.3%
ラ 13
 
4.6%
イ 10
 
3.5%
ル 10
 
3.5%
リ 9
 
3.2%
ト 9
 
3.2%
オ 8
 
2.8%
ク 8
 
2.8%
Other values (54) 163
57.8%
Cyrillic
ValueCountFrequency (%)
а 12
 
9.8%
е 12
 
9.8%
и 10
 
8.2%
о 8
 
6.6%
н 8
 
6.6%
с 8
 
6.6%
р 7
 
5.7%
л 7
 
5.7%
т 6
 
4.9%
в 5
 
4.1%
Other values (21) 39
32.0%
Number Forms
ValueCountFrequency (%)
Ⅴ 6
66.7%
Ⅷ 2
 
22.2%
Ⅰ 1
 
11.1%
None
ValueCountFrequency (%)
Α 4
16.7%
ø 3
12.5%
β 2
 
8.3%
ß 2
 
8.3%
Τ 2
 
8.3%
Λ 2
 
8.3%
œ 1
 
4.2%
Ο 1
 
4.2%
Π 1
 
4.2%
Κ 1
 
4.2%
Other values (5) 5
20.8%
CJK Compat
ValueCountFrequency (%)
㎞ 3
100.0%

저작자
Text

Distinct8575
Distinct (%)85.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T13:33:03.266135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length555
Median length225
Mean length14.5835
Min length1

Characters and Unicode

Total characters145835
Distinct characters1039
Distinct categories6 ?
Distinct scripts6 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7732 ?
Unique (%)77.3%

Sample

1st row김주현 서영경 박태균
2nd row슈테판스카요안나 요안나슈테판스카
3rd row백희나 백희나글그림
4th row스틸달렌 달렌스틸
5th row석혜원 김진이
ValueCountFrequency (%)
곰돌이co 35
 
0.1%
햇살과나무꾼 31
 
0.1%
일연 31
 
0.1%
슈가맘편집부 26
 
0.1%
슈가맘편집부편 26
 
0.1%
서지원 24
 
0.1%
이형진 23
 
0.1%
송도수 23
 
0.1%
홍종현 22
 
0.1%
이상교 21
 
0.1%
Other values (16719) 25098
99.0%
2023-12-12T13:33:03.894529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
15406
 
10.6%
이 4073
 
2.8%
E 3785
 
2.6%
A 3693
 
2.5%
R 2873
 
2.0%
N 2761
 
1.9%
김 2671
 
1.8%
스 2523
 
1.7%
I 2430
 
1.7%
O 2177
 
1.5%
Other values (1029) 103443
70.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 96103
65.9%
Uppercase Letter 34185
 
23.4%
Space Separator 15406
 
10.6%
Decimal Number 84
 
0.1%
Lowercase Letter 50
 
< 0.1%
Other Punctuation 7
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 4073
 
4.2%
김 2671
 
2.8%
스 2523
 
2.6%
리 2074
 
2.2%
정 1761
 
1.8%
영 1478
 
1.5%
지 1197
 
1.2%
미 1146
 
1.2%
아 1089
 
1.1%
희 953
 
1.0%
Other values (963) 77138
80.3%
Uppercase Letter
ValueCountFrequency (%)
E 3785
 
11.1%
A 3693
 
10.8%
R 2873
 
8.4%
N 2761
 
8.1%
I 2430
 
7.1%
O 2177
 
6.4%
L 2073
 
6.1%
S 1851
 
5.4%
T 1456
 
4.3%
H 1254
 
3.7%
Other values (27) 9832
28.8%
Lowercase Letter
ValueCountFrequency (%)
о 7
14.0%
е 6
12.0%
а 5
10.0%
к 4
 
8.0%
с 4
 
8.0%
в 4
 
8.0%
н 3
 
6.0%
и 2
 
4.0%
й 2
 
4.0%
л 2
 
4.0%
Other values (7) 11
22.0%
Decimal Number
ValueCountFrequency (%)
0 27
32.1%
1 15
17.9%
2 11
13.1%
9 11
13.1%
5 5
 
6.0%
7 4
 
4.8%
6 4
 
4.8%
3 3
 
3.6%
4 2
 
2.4%
8 2
 
2.4%
Space Separator
ValueCountFrequency (%)
15406
100.0%
Other Punctuation
ValueCountFrequency (%)
? 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 95985
65.8%
Latin 34175
 
23.4%
Common 15497
 
10.6%
Hiragana 89
 
0.1%
Cyrillic 60
 
< 0.1%
Katakana 29
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 4073
 
4.2%
김 2671
 
2.8%
스 2523
 
2.6%
리 2074
 
2.2%
정 1761
 
1.8%
영 1478
 
1.5%
지 1197
 
1.2%
미 1146
 
1.2%
아 1089
 
1.1%
희 953
 
1.0%
Other values (911) 77020
80.2%
Hiragana
ValueCountFrequency (%)
こ 8
 
9.0%
み 7
 
7.9%
の 6
 
6.7%
か 5
 
5.6%
り 4
 
4.5%
た 4
 
4.5%
け 4
 
4.5%
や 4
 
4.5%
す 4
 
4.5%
は 3
 
3.4%
Other values (25) 40
44.9%
Latin
ValueCountFrequency (%)
E 3785
 
11.1%
A 3693
 
10.8%
R 2873
 
8.4%
N 2761
 
8.1%
I 2430
 
7.1%
O 2177
 
6.4%
L 2073
 
6.1%
S 1851
 
5.4%
T 1456
 
4.3%
H 1254
 
3.7%
Other values (20) 9822
28.7%
Cyrillic
ValueCountFrequency (%)
о 7
 
11.7%
е 6
 
10.0%
а 5
 
8.3%
к 4
 
6.7%
с 4
 
6.7%
в 4
 
6.7%
н 3
 
5.0%
Л 3
 
5.0%
и 2
 
3.3%
й 2
 
3.3%
Other values (14) 20
33.3%
Katakana
ValueCountFrequency (%)
ミ 4
13.8%
リ 4
13.8%
マ 3
10.3%
ス 2
 
6.9%
ケ 2
 
6.9%
シ 2
 
6.9%
タ 2
 
6.9%
ア 1
 
3.4%
キ 1
 
3.4%
ズ 1
 
3.4%
Other values (7) 7
24.1%
Common
ValueCountFrequency (%)
15406
99.4%
0 27
 
0.2%
1 15
 
0.1%
2 11
 
0.1%
9 11
 
0.1%
? 7
 
< 0.1%
5 5
 
< 0.1%
7 4
 
< 0.1%
6 4
 
< 0.1%
3 3
 
< 0.1%
Other values (2) 4
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 95981
65.8%
ASCII 49667
34.1%
Hiragana 89
 
0.1%
Cyrillic 60
 
< 0.1%
Katakana 29
 
< 0.1%
None 5
 
< 0.1%
Compat Jamo 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
15406
31.0%
E 3785
 
7.6%
A 3693
 
7.4%
R 2873
 
5.8%
N 2761
 
5.6%
I 2430
 
4.9%
O 2177
 
4.4%
L 2073
 
4.2%
S 1851
 
3.7%
T 1456
 
2.9%
Other values (28) 11162
22.5%
Hangul
ValueCountFrequency (%)
이 4073
 
4.2%
김 2671
 
2.8%
스 2523
 
2.6%
리 2074
 
2.2%
정 1761
 
1.8%
영 1478
 
1.5%
지 1197
 
1.2%
미 1146
 
1.2%
아 1089
 
1.1%
희 953
 
1.0%
Other values (910) 77016
80.2%
Hiragana
ValueCountFrequency (%)
こ 8
 
9.0%
み 7
 
7.9%
の 6
 
6.7%
か 5
 
5.6%
り 4
 
4.5%
た 4
 
4.5%
け 4
 
4.5%
や 4
 
4.5%
す 4
 
4.5%
は 3
 
3.4%
Other values (25) 40
44.9%
Cyrillic
ValueCountFrequency (%)
о 7
 
11.7%
е 6
 
10.0%
а 5
 
8.3%
к 4
 
6.7%
с 4
 
6.7%
в 4
 
6.7%
н 3
 
5.0%
Л 3
 
5.0%
и 2
 
3.3%
й 2
 
3.3%
Other values (14) 20
33.3%
Katakana
ValueCountFrequency (%)
ミ 4
13.8%
リ 4
13.8%
マ 3
10.3%
ス 2
 
6.9%
ケ 2
 
6.9%
シ 2
 
6.9%
タ 2
 
6.9%
ア 1
 
3.4%
キ 1
 
3.4%
ズ 1
 
3.4%
Other values (7) 7
24.1%
Compat Jamo
ValueCountFrequency (%)
ㆍ 4
100.0%
None
ValueCountFrequency (%)
ø 2
40.0%
Ø 1
20.0%
Ł 1
20.0%
ß 1
20.0%

발행자
Text

Distinct2420
Distinct (%)24.2%
Missing5
Missing (%)< 0.1%
Memory size156.2 KiB
2023-12-12T13:33:04.263940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length21
Mean length4.3867934
Min length1

Characters and Unicode

Total characters43846
Distinct characters675
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1241 ?
Unique (%)12.4%

Sample

1st row중앙북스
2nd row바다출판사
3rd row책읽는곰
4th row한솔교육
5th row풀빛
ValueCountFrequency (%)
창비 192
 
1.9%
문학동네 182
 
1.8%
비룡소 168
 
1.6%
민음사 112
 
1.1%
교원 108
 
1.1%
주니어김영사 103
 
1.0%
아이세움 102
 
1.0%
예림당 100
 
1.0%
웅진주니어 91
 
0.9%
웅진씽크빅 91
 
0.9%
Other values (2352) 8934
87.7%
2023-12-12T13:33:04.781360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 1794
 
4.1%
스 1393
 
3.2%
이 1209
 
2.8%
북 1043
 
2.4%
어 993
 
2.3%
아 784
 
1.8%
문 781
 
1.8%
판 681
 
1.6%
출 670
 
1.5%
리 649
 
1.5%
Other values (665) 33849
77.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 41136
93.8%
Uppercase Letter 2366
 
5.4%
Space Separator 188
 
0.4%
Decimal Number 156
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 1794
 
4.4%
스 1393
 
3.4%
이 1209
 
2.9%
북 1043
 
2.5%
어 993
 
2.4%
아 784
 
1.9%
문 781
 
1.9%
판 681
 
1.7%
출 670
 
1.6%
리 649
 
1.6%
Other values (632) 31139
75.7%
Uppercase Letter
ValueCountFrequency (%)
O 310
13.1%
S 216
 
9.1%
B 205
 
8.7%
E 186
 
7.9%
R 160
 
6.8%
A 142
 
6.0%
N 138
 
5.8%
M 131
 
5.5%
I 131
 
5.5%
K 129
 
5.5%
Other values (15) 618
26.1%
Decimal Number
ValueCountFrequency (%)
2 72
46.2%
1 68
43.6%
0 7
 
4.5%
3 3
 
1.9%
4 3
 
1.9%
8 2
 
1.3%
9 1
 
0.6%
Space Separator
ValueCountFrequency (%)
188
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 41136
93.8%
Latin 2366
 
5.4%
Common 344
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 1794
 
4.4%
스 1393
 
3.4%
이 1209
 
2.9%
북 1043
 
2.5%
어 993
 
2.4%
아 784
 
1.9%
문 781
 
1.9%
판 681
 
1.7%
출 670
 
1.6%
리 649
 
1.6%
Other values (632) 31139
75.7%
Latin
ValueCountFrequency (%)
O 310
13.1%
S 216
 
9.1%
B 205
 
8.7%
E 186
 
7.9%
R 160
 
6.8%
A 142
 
6.0%
N 138
 
5.8%
M 131
 
5.5%
I 131
 
5.5%
K 129
 
5.5%
Other values (15) 618
26.1%
Common
ValueCountFrequency (%)
188
54.7%
2 72
 
20.9%
1 68
 
19.8%
0 7
 
2.0%
3 3
 
0.9%
4 3
 
0.9%
8 2
 
0.6%
9 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 41135
93.8%
ASCII 2710
 
6.2%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 1794
 
4.4%
스 1393
 
3.4%
이 1209
 
2.9%
북 1043
 
2.5%
어 993
 
2.4%
아 784
 
1.9%
문 781
 
1.9%
판 681
 
1.7%
출 670
 
1.6%
리 649
 
1.6%
Other values (631) 31138
75.7%
ASCII
ValueCountFrequency (%)
O 310
 
11.4%
S 216
 
8.0%
B 205
 
7.6%
188
 
6.9%
E 186
 
6.9%
R 160
 
5.9%
A 142
 
5.2%
N 138
 
5.1%
M 131
 
4.8%
I 131
 
4.8%
Other values (23) 903
33.3%
Compat Jamo
ValueCountFrequency (%)
ㄱ 1
100.0%

발행연도
Categorical

Distinct36
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2009
1910 
2010
1506 
2011
1339 
2015
876 
2012
837 
Other values (31)
3532 

Length

Max length4
Median length4
Mean length3.9999
Min length3

Unique

Unique8 ?
Unique (%)0.1%

Sample

1st row2010
2nd row2009
3rd row2019
4th row2007
5th row2013

Common Values

ValueCountFrequency (%)
2009 1910
19.1%
2010 1506
15.1%
2011 1339
13.4%
2015 876
8.8%
2012 837
8.4%
2014 812
8.1%
2013 696
 
7.0%
2008 548
 
5.5%
2007 278
 
2.8%
2016 263
 
2.6%
Other values (26) 935
9.3%

Length

2023-12-12T13:33:04.967552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2009 1910
19.1%
2010 1506
15.1%
2011 1339
13.4%
2015 876
8.8%
2012 837
8.4%
2014 812
8.1%
2013 696
 
7.0%
2008 548
 
5.5%
2007 278
 
2.8%
2016 263
 
2.6%
Other values (26) 935
9.3%

기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-08-25
10000 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-08-25
2nd row2023-08-25
3rd row2023-08-25
4th row2023-08-25
5th row2023-08-25

Common Values

ValueCountFrequency (%)
2023-08-25 10000
100.0%

Length

2023-12-12T13:33:05.141203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:33:05.265133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-08-25 10000
100.0%

Interactions

2023-12-12T13:33:00.974298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T13:33:05.341960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번발행연도
연번1.0000.811
발행연도0.8111.000
2023-12-12T13:33:05.459393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번발행연도
연번1.0000.435
발행연도0.4351.000

Missing values

2023-12-12T13:33:01.129998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T13:33:01.244649image/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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3763237633울진남부도서관여우아저씨황금똥을부탁해 초등저학년을위한건강식습관동화김주현 서영경 박태균중앙북스20102023-08-25
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2203422035울진남부도서관나는개다 나는 개다 그림책이참좋아 그림책이 참좋아 참 좋아백희나 백희나글그림책읽는곰20192023-08-25
33993400울진남부도서관보고만지고냄새맡고물질 한솔어메이징사이언스스틸달렌 달렌스틸한솔교육20072023-08-25
92209221울진남부도서관장바구니는왜엄마를울렸을까석혜원 김진이풀빛20132023-08-25
6798567986울진남부도서관독도오감도오감도 독도오감도 DOKDOISLANDOFFIVESENSES이함준 유운종 앙상블라메를에릴앙상블라메를에릴20152023-08-25
1748117482울진남부도서관세상의낮과밤 VUESDICI THECOLLECTION COLLECTION마르소파니 MARCEAUFANI JOLIVETJOLLE 이정주 졸리베조엘 파니마르소보림20152023-08-25
1316913170울진남부도서관WHY인체 WHY 인체 초등과학학습만화 SCIENCECOMIC SCIENCE COMIC허순봉 박종관예림당20072023-08-25
5741057411울진남부도서관커플연습 HIGHCONFLICTCOUPLEADIALECTICALBEHAVIORTHERAPYGUIDETOFINDINGPEACEINTIMACYVALIDA프루제티앨런 이정은 FRUZZETTIALANE 앨런프루제티한겨레출판20132023-08-25
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연번도서관명서명저작자발행자발행연도기준일자
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1094310944울진남부도서관세상에단하나뿐인아이반 ONEANDONLYIVAN애플게이트캐서린 정성원 APPLEGATEKATHERINE 캐서린애플게이트다른20132023-08-25
3470734708울진남부도서관효자가된불효자 호야토야의옛날이야기두번째백미숙 정성화교원20112023-08-25
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1190811909울진남부도서관KBS위기탈출넘버원 위기탈출넘버원 놀이공원에서살아남아라한국편 한국편차현진 에듀코믹 에듀코믹구성밝은미래20142023-08-25
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