Overview

Dataset statistics

Number of variables6
Number of observations10000
Missing cells3
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory556.6 KiB
Average record size in memory57.0 B

Variable types

Numeric1
Text3
Categorical2

Dataset

Description인천광역시 중구 행정자료실에 보유한 도서 현황입니다.파일명 인천광역시 중구 행정자료실도서현황내용 도서명, 저자, 출판사 등
Author인천광역시 중구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=3044171&srcSe=7661IVAWM27C61E190

Alerts

데이터기준일자 has constant value ""Constant
번호 is highly overall correlated with 발행년도High correlation
발행년도 is highly overall correlated with 번호High correlation
번호 has unique valuesUnique

Reproduction

Analysis started2024-03-18 04:07:33.003172
Analysis finished2024-03-18 04:07:35.117786
Duration2.11 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13325.952
Minimum1
Maximum26596
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-18T13:07:35.180316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1356.95
Q16573.5
median13260.5
Q320072.75
95-th percentile25300.05
Maximum26596
Range26595
Interquartile range (IQR)13499.25

Descriptive statistics

Standard deviation7701.4632
Coefficient of variation (CV)0.5779297
Kurtosis-1.2094905
Mean13325.952
Median Absolute Deviation (MAD)6754
Skewness0.003676196
Sum1.3325952 × 108
Variance59312535
MonotonicityNot monotonic
2024-03-18T13:07:35.303852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
25586 1
 
< 0.1%
20861 1
 
< 0.1%
21963 1
 
< 0.1%
3594 1
 
< 0.1%
9609 1
 
< 0.1%
18133 1
 
< 0.1%
9882 1
 
< 0.1%
14003 1
 
< 0.1%
2974 1
 
< 0.1%
4882 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
1 1
< 0.1%
4 1
< 0.1%
10 1
< 0.1%
13 1
< 0.1%
14 1
< 0.1%
16 1
< 0.1%
19 1
< 0.1%
24 1
< 0.1%
26 1
< 0.1%
27 1
< 0.1%
ValueCountFrequency (%)
26596 1
< 0.1%
26590 1
< 0.1%
26588 1
< 0.1%
26587 1
< 0.1%
26585 1
< 0.1%
26584 1
< 0.1%
26581 1
< 0.1%
26580 1
< 0.1%
26579 1
< 0.1%
26578 1
< 0.1%

도서명
Text

Distinct9692
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-03-18T13:07:35.697094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length105
Median length64
Mean length17.0993
Min length1

Characters and Unicode

Total characters170993
Distinct characters1686
Distinct categories15 ?
Distinct scripts4 ?
Distinct blocks12 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9426 ?
Unique (%)94.3%

Sample

1st row3분만 바라보면 눈이 좋아진다 : 전 세계를 발칵 뒤집은 기적의 ‘눈 그림’
2nd row관상
3rd row펭귄이 된 꼬마 거북이
4th row경매 권리분석 이렇게 쉬웠어?
5th row화해 : 내 안의 아이 치유하기
ValueCountFrequency (%)
3673
 
9.0%
관보 427
 
1.0%
구보 410
 
1.0%
2 392
 
1.0%
1 382
 
0.9%
장편소설 241
 
0.6%
3 178
 
0.4%
이야기 160
 
0.4%
내 123
 
0.3%
위한 119
 
0.3%
Other values (18617) 34711
85.0%
2024-03-18T13:07:36.154998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
30909
 
18.1%
. 4066
 
2.4%
의 3168
 
1.9%
1 2926
 
1.7%
: 2725
 
1.6%
2 2297
 
1.3%
이 2283
 
1.3%
0 2018
 
1.2%
사 1828
 
1.1%
) 1824
 
1.1%
Other values (1676) 116949
68.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 107630
62.9%
Space Separator 30909
 
18.1%
Decimal Number 13518
 
7.9%
Other Punctuation 8763
 
5.1%
Lowercase Letter 4074
 
2.4%
Close Punctuation 1863
 
1.1%
Open Punctuation 1862
 
1.1%
Uppercase Letter 1588
 
0.9%
Dash Punctuation 465
 
0.3%
Math Symbol 284
 
0.2%
Other values (5) 37
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 3168
 
2.9%
이 2283
 
2.1%
사 1828
 
1.7%
는 1718
 
1.6%
기 1599
 
1.5%
지 1580
 
1.5%
보 1562
 
1.5%
한 1405
 
1.3%
리 1307
 
1.2%
가 1174
 
1.1%
Other values (1565) 90006
83.6%
Lowercase Letter
ValueCountFrequency (%)
e 510
12.5%
o 409
10.0%
a 320
 
7.9%
i 314
 
7.7%
n 305
 
7.5%
r 296
 
7.3%
t 268
 
6.6%
s 230
 
5.6%
h 226
 
5.5%
l 201
 
4.9%
Other values (16) 995
24.4%
Uppercase Letter
ValueCountFrequency (%)
S 150
 
9.4%
I 128
 
8.1%
E 126
 
7.9%
T 116
 
7.3%
C 113
 
7.1%
W 95
 
6.0%
O 79
 
5.0%
D 75
 
4.7%
A 73
 
4.6%
L 70
 
4.4%
Other values (16) 563
35.5%
Other Punctuation
ValueCountFrequency (%)
. 4066
46.4%
: 2725
31.1%
, 1021
 
11.7%
! 257
 
2.9%
· 254
 
2.9%
? 207
 
2.4%
' 70
 
0.8%
/ 57
 
0.7%
& 30
 
0.3%
" 14
 
0.2%
Other values (12) 62
 
0.7%
Decimal Number
ValueCountFrequency (%)
1 2926
21.6%
2 2297
17.0%
0 2018
14.9%
3 1089
 
8.1%
9 1037
 
7.7%
6 978
 
7.2%
4 895
 
6.6%
5 882
 
6.5%
7 781
 
5.8%
8 615
 
4.5%
Math Symbol
ValueCountFrequency (%)
= 178
62.7%
~ 76
26.8%
+ 17
 
6.0%
| 3
 
1.1%
> 3
 
1.1%
< 3
 
1.1%
∼ 3
 
1.1%
＋ 1
 
0.4%
Close Punctuation
ValueCountFrequency (%)
) 1824
97.9%
] 32
 
1.7%
」 4
 
0.2%
』 3
 
0.2%
Open Punctuation
ValueCountFrequency (%)
( 1823
97.9%
[ 32
 
1.7%
「 4
 
0.2%
『 3
 
0.2%
Letter Number
ValueCountFrequency (%)
Ⅱ 17
63.0%
Ⅰ 5
 
18.5%
Ⅲ 5
 
18.5%
Other Symbol
ValueCountFrequency (%)
│ 1
33.3%
㎡ 1
33.3%
★ 1
33.3%
Space Separator
ValueCountFrequency (%)
30909
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 465
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 3
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 3
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 106139
62.1%
Common 57674
33.7%
Latin 5689
 
3.3%
Han 1491
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 3168
 
3.0%
이 2283
 
2.2%
사 1828
 
1.7%
는 1718
 
1.6%
기 1599
 
1.5%
지 1580
 
1.5%
보 1562
 
1.5%
한 1405
 
1.3%
리 1307
 
1.2%
가 1174
 
1.1%
Other values (1164) 88515
83.4%
Han
ValueCountFrequency (%)
國 47
 
3.2%
說 44
 
3.0%
大 39
 
2.6%
小 35
 
2.3%
地 27
 
1.8%
趙 24
 
1.6%
廷 24
 
1.6%
來 24
 
1.6%
河 24
 
1.6%
韓 20
 
1.3%
Other values (391) 1183
79.3%
Common
ValueCountFrequency (%)
30909
53.6%
. 4066
 
7.0%
1 2926
 
5.1%
: 2725
 
4.7%
2 2297
 
4.0%
0 2018
 
3.5%
) 1824
 
3.2%
( 1823
 
3.2%
3 1089
 
1.9%
9 1037
 
1.8%
Other values (46) 6960
 
12.1%
Latin
ValueCountFrequency (%)
e 510
 
9.0%
o 409
 
7.2%
a 320
 
5.6%
i 314
 
5.5%
n 305
 
5.4%
r 296
 
5.2%
t 268
 
4.7%
s 230
 
4.0%
h 226
 
4.0%
l 201
 
3.5%
Other values (45) 2610
45.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 106121
62.1%
ASCII 63026
36.9%
CJK 1453
 
0.8%
None 294
 
0.2%
CJK Compat Ideographs 38
 
< 0.1%
Number Forms 27
 
< 0.1%
Compat Jamo 18
 
< 0.1%
Punctuation 10
 
< 0.1%
Math Operators 3
 
< 0.1%
Box Drawing 1
 
< 0.1%
Other values (2) 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
30909
49.0%
. 4066
 
6.5%
1 2926
 
4.6%
: 2725
 
4.3%
2 2297
 
3.6%
0 2018
 
3.2%
) 1824
 
2.9%
( 1823
 
2.9%
3 1089
 
1.7%
9 1037
 
1.6%
Other values (79) 12312
 
19.5%
Hangul
ValueCountFrequency (%)
의 3168
 
3.0%
이 2283
 
2.2%
사 1828
 
1.7%
는 1718
 
1.6%
기 1599
 
1.5%
지 1580
 
1.5%
보 1562
 
1.5%
한 1405
 
1.3%
리 1307
 
1.2%
가 1174
 
1.1%
Other values (1160) 88497
83.4%
None
ValueCountFrequency (%)
· 254
86.4%
＆ 12
 
4.1%
％ 7
 
2.4%
」 4
 
1.4%
「 4
 
1.4%
『 3
 
1.0%
』 3
 
1.0%
＇ 2
 
0.7%
！ 2
 
0.7%
， 1
 
0.3%
Other values (2) 2
 
0.7%
CJK
ValueCountFrequency (%)
國 47
 
3.2%
說 44
 
3.0%
大 39
 
2.7%
小 35
 
2.4%
地 27
 
1.9%
趙 24
 
1.7%
廷 24
 
1.7%
來 24
 
1.7%
河 24
 
1.7%
韓 20
 
1.4%
Other values (375) 1145
78.8%
Number Forms
ValueCountFrequency (%)
Ⅱ 17
63.0%
Ⅰ 5
 
18.5%
Ⅲ 5
 
18.5%
Compat Jamo
ValueCountFrequency (%)
ㆍ 12
66.7%
ㄷ 2
 
11.1%
ㄱ 2
 
11.1%
ㄴ 2
 
11.1%
CJK Compat Ideographs
ValueCountFrequency (%)
女 7
18.4%
李 6
15.8%
異 5
13.2%
論 3
7.9%
理 3
7.9%
遼 2
 
5.3%
不 2
 
5.3%
老 2
 
5.3%
烈 1
 
2.6%
金 1
 
2.6%
Other values (6) 6
15.8%
Punctuation
ValueCountFrequency (%)
… 4
40.0%
’ 3
30.0%
‘ 3
30.0%
Math Operators
ValueCountFrequency (%)
∼ 3
100.0%
Box Drawing
ValueCountFrequency (%)
│ 1
100.0%
CJK Compat
ValueCountFrequency (%)
㎡ 1
100.0%
Misc Symbols
ValueCountFrequency (%)
★ 1
100.0%

저자
Text

Distinct6849
Distinct (%)68.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-03-18T13:07:36.427315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length120
Median length82
Mean length11.1406
Min length2

Characters and Unicode

Total characters111406
Distinct characters1205
Distinct categories10 ?
Distinct scripts5 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5987 ?
Unique (%)59.9%

Sample

1st row히라마쓰 루이 ;김소영 옮김
2nd row김현남 편저
3rd row밸러리 고르바초프 글·그림;[곽수희 옮김]
4th row박희철(파이팅팔콘)
5th row틱낫한 ;진우기 옮김
ValueCountFrequency (%)
편 2122
 
8.7%
옮김 1802
 
7.4%
그림 831
 
3.4%
인천광역시 737
 
3.0%
행정자치부 452
 
1.9%
중구 436
 
1.8%
저 399
 
1.6%
편저 177
 
0.7%
공 141
 
0.6%
외 137
 
0.6%
Other values (9921) 17106
70.3%
2024-03-18T13:07:36.857455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
16391
 
14.7%
; 4887
 
4.4%
김 3855
 
3.5%
] 3079
 
2.8%
[ 3077
 
2.8%
편 2720
 
2.4%
이 2361
 
2.1%
옮 2315
 
2.1%
정 1733
 
1.6%
그 1571
 
1.4%
Other values (1195) 69417
62.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 79024
70.9%
Space Separator 16391
 
14.7%
Other Punctuation 5753
 
5.2%
Close Punctuation 3084
 
2.8%
Open Punctuation 3082
 
2.8%
Lowercase Letter 2595
 
2.3%
Uppercase Letter 1313
 
1.2%
Decimal Number 114
 
0.1%
Dash Punctuation 34
 
< 0.1%
Math Symbol 16
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 3855
 
4.9%
편 2720
 
3.4%
이 2361
 
3.0%
옮 2315
 
2.9%
정 1733
 
2.2%
그 1571
 
2.0%
림 1523
 
1.9%
시 1376
 
1.7%
글 1314
 
1.7%
인 1285
 
1.6%
Other values (1112) 58971
74.6%
Uppercase Letter
ValueCountFrequency (%)
S 133
 
10.1%
K 117
 
8.9%
A 103
 
7.8%
M 95
 
7.2%
B 78
 
5.9%
I 73
 
5.6%
E 72
 
5.5%
T 70
 
5.3%
R 66
 
5.0%
O 65
 
5.0%
Other values (16) 441
33.6%
Lowercase Letter
ValueCountFrequency (%)
a 400
15.4%
i 295
11.4%
e 221
 
8.5%
o 213
 
8.2%
r 160
 
6.2%
u 146
 
5.6%
n 144
 
5.5%
h 140
 
5.4%
m 112
 
4.3%
s 106
 
4.1%
Other values (15) 658
25.4%
Other Punctuation
ValueCountFrequency (%)
; 4887
84.9%
. 376
 
6.5%
· 282
 
4.9%
: 103
 
1.8%
, 78
 
1.4%
& 10
 
0.2%
/ 7
 
0.1%
' 5
 
0.1%
? 3
 
0.1%
! 1
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
1 27
23.7%
0 23
20.2%
2 19
16.7%
5 12
10.5%
8 9
 
7.9%
4 8
 
7.0%
3 8
 
7.0%
9 5
 
4.4%
6 2
 
1.8%
7 1
 
0.9%
Close Punctuation
ValueCountFrequency (%)
] 3079
99.8%
) 4
 
0.1%
」 1
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
[ 3077
99.8%
( 4
 
0.1%
「 1
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
> 7
43.8%
< 7
43.8%
+ 2
 
12.5%
Space Separator
ValueCountFrequency (%)
16391
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 34
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 78167
70.2%
Common 28474
 
25.6%
Latin 3908
 
3.5%
Han 856
 
0.8%
Hiragana 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 3855
 
4.9%
편 2720
 
3.5%
이 2361
 
3.0%
옮 2315
 
3.0%
정 1733
 
2.2%
그 1571
 
2.0%
림 1523
 
1.9%
시 1376
 
1.8%
글 1314
 
1.7%
인 1285
 
1.6%
Other values (819) 58114
74.3%
Han
ValueCountFrequency (%)
著 119
 
13.9%
金 29
 
3.4%
編 24
 
2.8%
譯 20
 
2.3%
李 17
 
2.0%
趙 13
 
1.5%
硏 12
 
1.4%
共 12
 
1.4%
究 12
 
1.4%
承 12
 
1.4%
Other values (282) 586
68.5%
Latin
ValueCountFrequency (%)
a 400
 
10.2%
i 295
 
7.5%
e 221
 
5.7%
o 213
 
5.5%
r 160
 
4.1%
u 146
 
3.7%
n 144
 
3.7%
h 140
 
3.6%
S 133
 
3.4%
K 117
 
3.0%
Other values (41) 1939
49.6%
Common
ValueCountFrequency (%)
16391
57.6%
; 4887
 
17.2%
] 3079
 
10.8%
[ 3077
 
10.8%
. 376
 
1.3%
· 282
 
1.0%
: 103
 
0.4%
, 78
 
0.3%
- 34
 
0.1%
1 27
 
0.1%
Other values (22) 140
 
0.5%
Hiragana
ValueCountFrequency (%)
み 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 78160
70.2%
ASCII 32097
28.8%
CJK 825
 
0.7%
None 285
 
0.3%
CJK Compat Ideographs 31
 
< 0.1%
Compat Jamo 7
 
< 0.1%
Hiragana 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
16391
51.1%
; 4887
 
15.2%
] 3079
 
9.6%
[ 3077
 
9.6%
a 400
 
1.2%
. 376
 
1.2%
i 295
 
0.9%
e 221
 
0.7%
o 213
 
0.7%
r 160
 
0.5%
Other values (69) 2998
 
9.3%
Hangul
ValueCountFrequency (%)
김 3855
 
4.9%
편 2720
 
3.5%
이 2361
 
3.0%
옮 2315
 
3.0%
정 1733
 
2.2%
그 1571
 
2.0%
림 1523
 
1.9%
시 1376
 
1.8%
글 1314
 
1.7%
인 1285
 
1.6%
Other values (814) 58107
74.3%
None
ValueCountFrequency (%)
· 282
98.9%
」 1
 
0.4%
「 1
 
0.4%
＆ 1
 
0.4%
CJK
ValueCountFrequency (%)
著 119
 
14.4%
金 29
 
3.5%
編 24
 
2.9%
譯 20
 
2.4%
趙 13
 
1.6%
硏 12
 
1.5%
共 12
 
1.5%
究 12
 
1.5%
承 12
 
1.5%
朴 11
 
1.3%
Other values (272) 561
68.0%
CJK Compat Ideographs
ValueCountFrequency (%)
李 17
54.8%
烈 3
 
9.7%
龍 2
 
6.5%
寧 2
 
6.5%
柳 2
 
6.5%
林 1
 
3.2%
盧 1
 
3.2%
廉 1
 
3.2%
羅 1
 
3.2%
魯 1
 
3.2%
Compat Jamo
ValueCountFrequency (%)
ㆍ 3
42.9%
ㅁ 1
 
14.3%
ㅇ 1
 
14.3%
ㅈ 1
 
14.3%
ㄱ 1
 
14.3%
Hiragana
ValueCountFrequency (%)
み 1
100.0%

출판사
Text

Distinct2705
Distinct (%)27.1%
Missing3
Missing (%)< 0.1%
Memory size156.2 KiB
2024-03-18T13:07:37.041012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length25
Mean length5.0679204
Min length1

Characters and Unicode

Total characters50664
Distinct characters824
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1574 ?
Unique (%)15.7%

Sample

1st row쌤앤파커스
2nd row나들목
3rd row해와비
4th row지혜로
5th row불광
ValueCountFrequency (%)
인천광역시 722
 
6.7%
행정자치부 454
 
4.2%
중구 433
 
4.0%
인천발전연구원 145
 
1.3%
문학동네 130
 
1.2%
김영사 119
 
1.1%
인천광역시중구 109
 
1.0%
대원씨아이 94
 
0.9%
중구의회 85
 
0.8%
창비 82
 
0.8%
Other values (2730) 8444
78.1%
2024-03-18T13:07:37.330553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 1940
 
3.8%
인 1338
 
2.6%
시 1257
 
2.5%
구 1218
 
2.4%
천 1187
 
2.3%
스 1054
 
2.1%
광 992
 
2.0%
역 980
 
1.9%
원 970
 
1.9%
문 903
 
1.8%
Other values (814) 38825
76.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 47826
94.4%
Lowercase Letter 931
 
1.8%
Space Separator 821
 
1.6%
Uppercase Letter 612
 
1.2%
Other Punctuation 210
 
0.4%
Decimal Number 180
 
0.4%
Open Punctuation 38
 
0.1%
Close Punctuation 38
 
0.1%
Dash Punctuation 8
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 1940
 
4.1%
인 1338
 
2.8%
시 1257
 
2.6%
구 1218
 
2.5%
천 1187
 
2.5%
스 1054
 
2.2%
광 992
 
2.1%
역 980
 
2.0%
원 970
 
2.0%
문 903
 
1.9%
Other values (743) 35987
75.2%
Uppercase Letter
ValueCountFrequency (%)
B 112
18.3%
M 61
 
10.0%
K 59
 
9.6%
S 54
 
8.8%
H 31
 
5.1%
T 31
 
5.1%
O 29
 
4.7%
R 28
 
4.6%
A 22
 
3.6%
E 21
 
3.4%
Other values (16) 164
26.8%
Lowercase Letter
ValueCountFrequency (%)
o 202
21.7%
e 88
9.5%
s 86
9.2%
k 84
9.0%
n 76
 
8.2%
a 70
 
7.5%
i 65
 
7.0%
b 46
 
4.9%
r 43
 
4.6%
d 30
 
3.2%
Other values (12) 141
15.1%
Decimal Number
ValueCountFrequency (%)
1 75
41.7%
2 72
40.0%
8 9
 
5.0%
5 8
 
4.4%
4 5
 
2.8%
0 4
 
2.2%
3 3
 
1.7%
9 2
 
1.1%
6 2
 
1.1%
Other Punctuation
ValueCountFrequency (%)
: 139
66.2%
& 33
 
15.7%
, 9
 
4.3%
· 9
 
4.3%
. 8
 
3.8%
＆ 6
 
2.9%
; 5
 
2.4%
@ 1
 
0.5%
Open Punctuation
ValueCountFrequency (%)
[ 21
55.3%
( 17
44.7%
Close Punctuation
ValueCountFrequency (%)
] 21
55.3%
) 17
44.7%
Space Separator
ValueCountFrequency (%)
821
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 47134
93.0%
Latin 1543
 
3.0%
Common 1295
 
2.6%
Han 692
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 1940
 
4.1%
인 1338
 
2.8%
시 1257
 
2.7%
구 1218
 
2.6%
천 1187
 
2.5%
스 1054
 
2.2%
광 992
 
2.1%
역 980
 
2.1%
원 970
 
2.1%
문 903
 
1.9%
Other values (611) 35295
74.9%
Han
ValueCountFrequency (%)
社 74
 
10.7%
文 32
 
4.6%
硏 27
 
3.9%
究 27
 
3.9%
院 25
 
3.6%
政 25
 
3.6%
經 20
 
2.9%
濟 19
 
2.7%
外 19
 
2.7%
對 17
 
2.5%
Other values (122) 407
58.8%
Latin
ValueCountFrequency (%)
o 202
 
13.1%
B 112
 
7.3%
e 88
 
5.7%
s 86
 
5.6%
k 84
 
5.4%
n 76
 
4.9%
a 70
 
4.5%
i 65
 
4.2%
M 61
 
4.0%
K 59
 
3.8%
Other values (38) 640
41.5%
Common
ValueCountFrequency (%)
821
63.4%
: 139
 
10.7%
1 75
 
5.8%
2 72
 
5.6%
& 33
 
2.5%
[ 21
 
1.6%
] 21
 
1.6%
( 17
 
1.3%
) 17
 
1.3%
, 9
 
0.7%
Other values (13) 70
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 47126
93.0%
ASCII 2823
 
5.6%
CJK 687
 
1.4%
None 15
 
< 0.1%
Compat Jamo 8
 
< 0.1%
CJK Compat Ideographs 5
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 1940
 
4.1%
인 1338
 
2.8%
시 1257
 
2.7%
구 1218
 
2.6%
천 1187
 
2.5%
스 1054
 
2.2%
광 992
 
2.1%
역 980
 
2.1%
원 970
 
2.1%
문 903
 
1.9%
Other values (606) 35287
74.9%
ASCII
ValueCountFrequency (%)
821
29.1%
o 202
 
7.2%
: 139
 
4.9%
B 112
 
4.0%
e 88
 
3.1%
s 86
 
3.0%
k 84
 
3.0%
n 76
 
2.7%
1 75
 
2.7%
2 72
 
2.6%
Other values (59) 1068
37.8%
CJK
ValueCountFrequency (%)
社 74
 
10.8%
文 32
 
4.7%
硏 27
 
3.9%
究 27
 
3.9%
院 25
 
3.6%
政 25
 
3.6%
經 20
 
2.9%
濟 19
 
2.8%
外 19
 
2.8%
對 17
 
2.5%
Other values (118) 402
58.5%
None
ValueCountFrequency (%)
· 9
60.0%
＆ 6
40.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 3
37.5%
ㅇ 2
25.0%
ㄴ 1
 
12.5%
ㅅ 1
 
12.5%
ㅁ 1
 
12.5%
CJK Compat Ideographs
ValueCountFrequency (%)
率 2
40.0%
綠 1
20.0%
蘆 1
20.0%
蘭 1
20.0%

발행년도
Categorical

HIGH CORRELATION 

Distinct46
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2008
1464 
2009
755 
2010
698 
2007
665 
2011
 
568
Other values (41)
5850 

Length

Max length5
Median length4
Mean length4.0049
Min length4

Unique

Unique4 ?
Unique (%)< 0.1%

Sample

1st row2019
2nd row2009
3rd row2008
4th row2019
5th row2011

Common Values

ValueCountFrequency (%)
2008 1464
 
14.6%
2009 755
 
7.5%
2010 698
 
7.0%
2007 665
 
6.7%
2011 568
 
5.7%
2012 567
 
5.7%
2013 551
 
5.5%
1994 327
 
3.3%
2006 313
 
3.1%
2015 298
 
3.0%
Other values (36) 3794
37.9%

Length

2024-03-18T13:07:37.437495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2008 1464
 
14.6%
2009 755
 
7.5%
2010 698
 
7.0%
2007 665
 
6.7%
2011 568
 
5.7%
2012 567
 
5.7%
2013 551
 
5.5%
1994 327
 
3.3%
2006 313
 
3.1%
2015 298
 
3.0%
Other values (36) 3794
37.9%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-08-01
10000 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-08-01
2nd row2023-08-01
3rd row2023-08-01
4th row2023-08-01
5th row2023-08-01

Common Values

ValueCountFrequency (%)
2023-08-01 10000
100.0%

Length

2024-03-18T13:07:37.541039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T13:07:37.639594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-08-01 10000
100.0%

Interactions

2024-03-18T13:07:34.862316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-18T13:07:37.698247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호발행년도
번호1.0000.989
발행년도0.9891.000
2024-03-18T13:07:37.775745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호발행년도
번호1.0000.900
발행년도0.9001.000

Missing values

2024-03-18T13:07:34.976165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-18T13:07:35.070495image/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

번호도서명저자출판사발행년도데이터기준일자
25585255863분만 바라보면 눈이 좋아진다 : 전 세계를 발칵 뒤집은 기적의 ‘눈 그림’히라마쓰 루이 ;김소영 옮김쌤앤파커스20192023-08-01
1510815109관상김현남 편저나들목20092023-08-01
1046710468펭귄이 된 꼬마 거북이밸러리 고르바초프 글·그림;[곽수희 옮김]해와비20082023-08-01
2544025441경매 권리분석 이렇게 쉬웠어?박희철(파이팅팔콘)지혜로20192023-08-01
1926719268화해 : 내 안의 아이 치유하기틱낫한 ;진우기 옮김불광20112023-08-01
2127321274굿모닝 인천 (시각장애인용). 2013.11인천광역시 [편]인천광역시20132023-08-01
41504151큰성경김의환 박사 편찬성서교재간행사19972023-08-01
86278628관보. 16507행정자치부 [편]행정자치부20072023-08-01
2525225253열혈강호 = 熱血江湖. 29전극진 글;양재현 그림대원씨아이20182023-08-01
44054406서구의정. 제8호인천광역시서구의회 편인천광역시서구의회19992023-08-01
번호도서명저자출판사발행년도데이터기준일자
1894218943빌리 배트. 7Naoki Urasawa;Takashi Nagasaki 스토리 공동제작;서현아 역학산문화사20112023-08-01
2007020071사회인야구 실전 퍼펙트 레슨 : 실전에 강해진다!에토 쇼조 ;송인국 옮김대원씨아이20122023-08-01
2650926510북한 떡볶이는 빨간 맛? 파란 맛?박천조 글;김윤정 그림사계절20192023-08-01
1570415705묵향 : 전동조 장편 판타지 소설. 5, 묵향, 판타지 세계로 가다전동조스카이미디어20092023-08-01
15031504산업 환기 공학 편람김오식 역동화기술19932023-08-01
2368023681원, 수를 사랑하라 : 이른봄 장편 소설. 1이른봄청어람20152023-08-01
68296830인천지역 산학연 연계의 실태와 개선방향여인만 [저]인천발전연구원20052023-08-01
2512325124인천광역시 중구 구보. 제925호인천광역시 중구 편집인천광역시중구20182023-08-01
2323223233달팽이도 멀미해윤미경청개구리20152023-08-01
49484949마이언전기 : 임달영환타지소설. 11임달영서울창작20012023-08-01