Overview

Dataset statistics

Number of variables6
Number of observations10000
Missing cells2
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
Categorical1
DateTime1

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 04:07:25.408033
Analysis finished2024-03-18 04:07:28.343099
Duration2.94 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%
Mean13344.701
Minimum2
Maximum26596
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-18T13:07:28.417505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile1300.95
Q16808.5
median13314
Q319999.75
95-th percentile25282.05
Maximum26596
Range26594
Interquartile range (IQR)13191.25

Descriptive statistics

Standard deviation7677.145
Coefficient of variation (CV)0.57529538
Kurtosis-1.1925751
Mean13344.701
Median Absolute Deviation (MAD)6591.5
Skewness-0.0021149972
Sum1.3344701 × 108
Variance58938555
MonotonicityNot monotonic
2024-03-18T13:07:28.543581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
121 1
 
< 0.1%
10949 1
 
< 0.1%
20563 1
 
< 0.1%
18427 1
 
< 0.1%
18876 1
 
< 0.1%
9854 1
 
< 0.1%
10475 1
 
< 0.1%
15048 1
 
< 0.1%
18217 1
 
< 0.1%
7993 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
2 1
< 0.1%
4 1
< 0.1%
6 1
< 0.1%
8 1
< 0.1%
13 1
< 0.1%
19 1
< 0.1%
24 1
< 0.1%
29 1
< 0.1%
30 1
< 0.1%
32 1
< 0.1%
ValueCountFrequency (%)
26596 1
< 0.1%
26589 1
< 0.1%
26587 1
< 0.1%
26586 1
< 0.1%
26581 1
< 0.1%
26577 1
< 0.1%
26576 1
< 0.1%
26575 1
< 0.1%
26574 1
< 0.1%
26573 1
< 0.1%
Distinct9709
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-03-18T13:07:28.863895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length127
Median length62
Mean length17.1187
Min length1

Characters and Unicode

Total characters171187
Distinct characters1736
Distinct categories17 ?
Distinct scripts4 ?
Distinct blocks10 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9470 ?
Unique (%)94.7%

Sample

1st row중앙·지방사무 총람. 2
2nd row파워리더가 되라
3rd row나는 둔감하게 살기로 했다 : 초조하지 않게, 급하지 않게, 나답게 사는 법
4th row구보 . 669
5th row(우울증을 다스리는)마음챙김 명상
ValueCountFrequency (%)
3649
 
8.9%
구보 432
 
1.1%
관보 425
 
1.0%
2 408
 
1.0%
1 379
 
0.9%
장편소설 239
 
0.6%
이야기 173
 
0.4%
3 170
 
0.4%
위한 146
 
0.4%
4 117
 
0.3%
Other values (18598) 34816
85.0%
2024-03-18T13:07:29.336239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
31032
 
18.1%
. 4093
 
2.4%
3087
 
1.8%
1 2913
 
1.7%
: 2666
 
1.6%
2388
 
1.4%
2 2327
 
1.4%
0 2157
 
1.3%
) 1832
 
1.1%
( 1831
 
1.1%
Other values (1726) 116861
68.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 107620
62.9%
Space Separator 31032
 
18.1%
Decimal Number 13648
 
8.0%
Other Punctuation 8643
 
5.0%
Lowercase Letter 4183
 
2.4%
Close Punctuation 1867
 
1.1%
Open Punctuation 1866
 
1.1%
Uppercase Letter 1551
 
0.9%
Dash Punctuation 445
 
0.3%
Math Symbol 292
 
0.2%
Other values (7) 40
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
3087
 
2.9%
2388
 
2.2%
1777
 
1.7%
1767
 
1.6%
1602
 
1.5%
1590
 
1.5%
1587
 
1.5%
1417
 
1.3%
1289
 
1.2%
1192
 
1.1%
Other values (1616) 89924
83.6%
Lowercase Letter
ValueCountFrequency (%)
e 516
12.3%
o 446
10.7%
a 321
 
7.7%
n 319
 
7.6%
r 291
 
7.0%
i 287
 
6.9%
t 278
 
6.6%
s 238
 
5.7%
l 215
 
5.1%
h 212
 
5.1%
Other values (16) 1060
25.3%
Uppercase Letter
ValueCountFrequency (%)
S 150
 
9.7%
I 129
 
8.3%
E 127
 
8.2%
C 115
 
7.4%
T 112
 
7.2%
O 80
 
5.2%
W 73
 
4.7%
P 72
 
4.6%
L 70
 
4.5%
A 67
 
4.3%
Other values (16) 556
35.8%
Other Punctuation
ValueCountFrequency (%)
. 4093
47.4%
: 2666
30.8%
, 997
 
11.5%
! 261
 
3.0%
· 247
 
2.9%
? 162
 
1.9%
' 75
 
0.9%
/ 57
 
0.7%
& 30
 
0.3%
; 11
 
0.1%
Other values (11) 44
 
0.5%
Decimal Number
ValueCountFrequency (%)
1 2913
21.3%
2 2327
17.1%
0 2157
15.8%
3 1065
 
7.8%
9 1019
 
7.5%
6 981
 
7.2%
5 884
 
6.5%
4 856
 
6.3%
7 805
 
5.9%
8 641
 
4.7%
Math Symbol
ValueCountFrequency (%)
= 195
66.8%
~ 70
 
24.0%
+ 17
 
5.8%
> 4
 
1.4%
< 4
 
1.4%
| 1
 
0.3%
1
 
0.3%
Close Punctuation
ValueCountFrequency (%)
) 1832
98.1%
] 29
 
1.6%
5
 
0.3%
1
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 1831
98.1%
[ 29
 
1.6%
5
 
0.3%
1
 
0.1%
Letter Number
ValueCountFrequency (%)
17
63.0%
5
 
18.5%
4
 
14.8%
1
 
3.7%
Space Separator
ValueCountFrequency (%)
31032
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 445
100.0%
Final Punctuation
ValueCountFrequency (%)
4
100.0%
Initial Punctuation
ValueCountFrequency (%)
4
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%
Other Number
ValueCountFrequency (%)
½ 1
100.0%
Other Symbol
ValueCountFrequency (%)
1
100.0%
Currency Symbol
ValueCountFrequency (%)
$ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 106055
62.0%
Common 57806
33.8%
Latin 5761
 
3.4%
Han 1565
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
3087
 
2.9%
2388
 
2.3%
1777
 
1.7%
1767
 
1.7%
1602
 
1.5%
1590
 
1.5%
1587
 
1.5%
1417
 
1.3%
1289
 
1.2%
1192
 
1.1%
Other values (1172) 88359
83.3%
Han
ValueCountFrequency (%)
41
 
2.6%
37
 
2.4%
34
 
2.2%
31
 
2.0%
28
 
1.8%
26
 
1.7%
23
 
1.5%
21
 
1.3%
20
 
1.3%
19
 
1.2%
Other values (434) 1285
82.1%
Latin
ValueCountFrequency (%)
e 516
 
9.0%
o 446
 
7.7%
a 321
 
5.6%
n 319
 
5.5%
r 291
 
5.1%
i 287
 
5.0%
t 278
 
4.8%
s 238
 
4.1%
l 215
 
3.7%
h 212
 
3.7%
Other values (46) 2638
45.8%
Common
ValueCountFrequency (%)
31032
53.7%
. 4093
 
7.1%
1 2913
 
5.0%
: 2666
 
4.6%
2 2327
 
4.0%
0 2157
 
3.7%
) 1832
 
3.2%
( 1831
 
3.2%
3 1065
 
1.8%
9 1019
 
1.8%
Other values (44) 6871
 
11.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 106044
61.9%
ASCII 63253
36.9%
CJK 1531
 
0.9%
None 274
 
0.2%
CJK Compat Ideographs 34
 
< 0.1%
Number Forms 27
 
< 0.1%
Compat Jamo 11
 
< 0.1%
Punctuation 11
 
< 0.1%
Box Drawing 1
 
< 0.1%
Math Operators 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
31032
49.1%
. 4093
 
6.5%
1 2913
 
4.6%
: 2666
 
4.2%
2 2327
 
3.7%
0 2157
 
3.4%
) 1832
 
2.9%
( 1831
 
2.9%
3 1065
 
1.7%
9 1019
 
1.6%
Other values (80) 12318
 
19.5%
Hangul
ValueCountFrequency (%)
3087
 
2.9%
2388
 
2.3%
1777
 
1.7%
1767
 
1.7%
1602
 
1.5%
1590
 
1.5%
1587
 
1.5%
1417
 
1.3%
1289
 
1.2%
1192
 
1.1%
Other values (1171) 88348
83.3%
None
ValueCountFrequency (%)
· 247
90.1%
8
 
2.9%
5
 
1.8%
5
 
1.8%
3
 
1.1%
1
 
0.4%
1
 
0.4%
1
 
0.4%
½ 1
 
0.4%
1
 
0.4%
CJK
ValueCountFrequency (%)
41
 
2.7%
37
 
2.4%
34
 
2.2%
31
 
2.0%
28
 
1.8%
26
 
1.7%
23
 
1.5%
21
 
1.4%
20
 
1.3%
19
 
1.2%
Other values (417) 1251
81.7%
Number Forms
ValueCountFrequency (%)
17
63.0%
5
 
18.5%
4
 
14.8%
1
 
3.7%
Compat Jamo
ValueCountFrequency (%)
11
100.0%
CJK Compat Ideographs
ValueCountFrequency (%)
6
17.6%
4
11.8%
3
8.8%
3
8.8%
3
8.8%
3
8.8%
2
 
5.9%
1
 
2.9%
1
 
2.9%
1
 
2.9%
Other values (7) 7
20.6%
Punctuation
ValueCountFrequency (%)
4
36.4%
4
36.4%
3
27.3%
Box Drawing
ValueCountFrequency (%)
1
100.0%
Math Operators
ValueCountFrequency (%)
1
100.0%

저자
Text

Distinct6844
Distinct (%)68.4%
Missing1
Missing (%)< 0.1%
Memory size156.2 KiB
2024-03-18T13:07:29.592480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length120
Median length89
Mean length11.021002
Min length2

Characters and Unicode

Total characters110199
Distinct characters1220
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

Unique6017 ?
Unique (%)60.2%

Sample

1st row인천직할시 [편]
2nd row정병관
3rd row와타나베 준이치 ;정세영 옮김
4th row인천광역시 중구[편]
5th row마크 윌리엄스;존 티즈데일;진델 세갈;존 카밧진;차재호
ValueCountFrequency (%)
2140
 
8.9%
옮김 1787
 
7.4%
그림 814
 
3.4%
인천광역시 771
 
3.2%
중구 455
 
1.9%
행정자치부 454
 
1.9%
386
 
1.6%
편저 179
 
0.7%
153
 
0.6%
134
 
0.6%
Other values (9836) 16805
69.8%
2024-03-18T13:07:30.000020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
16195
 
14.7%
; 4739
 
4.3%
3858
 
3.5%
[ 3113
 
2.8%
] 3113
 
2.8%
2737
 
2.5%
2282
 
2.1%
2275
 
2.1%
1727
 
1.6%
1511
 
1.4%
Other values (1210) 68649
62.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 77880
70.7%
Space Separator 16195
 
14.7%
Other Punctuation 5622
 
5.1%
Open Punctuation 3129
 
2.8%
Close Punctuation 3129
 
2.8%
Lowercase Letter 2637
 
2.4%
Uppercase Letter 1395
 
1.3%
Decimal Number 159
 
0.1%
Dash Punctuation 32
 
< 0.1%
Math Symbol 21
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
3858
 
5.0%
2737
 
3.5%
2282
 
2.9%
2275
 
2.9%
1727
 
2.2%
1511
 
1.9%
1461
 
1.9%
1415
 
1.8%
1318
 
1.7%
1301
 
1.7%
Other values (1129) 57995
74.5%
Lowercase Letter
ValueCountFrequency (%)
a 382
14.5%
i 302
11.5%
e 238
 
9.0%
o 224
 
8.5%
r 163
 
6.2%
n 144
 
5.5%
u 142
 
5.4%
m 141
 
5.3%
h 132
 
5.0%
t 113
 
4.3%
Other values (16) 656
24.9%
Uppercase Letter
ValueCountFrequency (%)
S 148
 
10.6%
A 125
 
9.0%
K 121
 
8.7%
M 98
 
7.0%
B 84
 
6.0%
R 74
 
5.3%
I 73
 
5.2%
O 69
 
4.9%
E 68
 
4.9%
T 68
 
4.9%
Other values (16) 467
33.5%
Other Punctuation
ValueCountFrequency (%)
; 4739
84.3%
. 371
 
6.6%
· 302
 
5.4%
: 110
 
2.0%
, 71
 
1.3%
& 17
 
0.3%
/ 6
 
0.1%
' 4
 
0.1%
1
 
< 0.1%
! 1
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
0 33
20.8%
1 31
19.5%
2 23
14.5%
5 20
12.6%
8 12
 
7.5%
4 11
 
6.9%
6 10
 
6.3%
3 10
 
6.3%
9 5
 
3.1%
7 4
 
2.5%
Math Symbol
ValueCountFrequency (%)
> 10
47.6%
< 10
47.6%
+ 1
 
4.8%
Open Punctuation
ValueCountFrequency (%)
[ 3113
99.5%
( 16
 
0.5%
Close Punctuation
ValueCountFrequency (%)
] 3113
99.5%
) 16
 
0.5%
Space Separator
ValueCountFrequency (%)
16195
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 32
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 76877
69.8%
Common 28287
 
25.7%
Latin 4032
 
3.7%
Han 1002
 
0.9%
Hiragana 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
3858
 
5.0%
2737
 
3.6%
2282
 
3.0%
2275
 
3.0%
1727
 
2.2%
1511
 
2.0%
1461
 
1.9%
1415
 
1.8%
1318
 
1.7%
1301
 
1.7%
Other values (804) 56992
74.1%
Han
ValueCountFrequency (%)
128
 
12.8%
35
 
3.5%
29
 
2.9%
28
 
2.8%
28
 
2.8%
17
 
1.7%
13
 
1.3%
13
 
1.3%
12
 
1.2%
12
 
1.2%
Other values (314) 687
68.6%
Latin
ValueCountFrequency (%)
a 382
 
9.5%
i 302
 
7.5%
e 238
 
5.9%
o 224
 
5.6%
r 163
 
4.0%
S 148
 
3.7%
n 144
 
3.6%
u 142
 
3.5%
m 141
 
3.5%
h 132
 
3.3%
Other values (42) 2016
50.0%
Common
ValueCountFrequency (%)
16195
57.3%
; 4739
 
16.8%
[ 3113
 
11.0%
] 3113
 
11.0%
. 371
 
1.3%
· 302
 
1.1%
: 110
 
0.4%
, 71
 
0.3%
0 33
 
0.1%
- 32
 
0.1%
Other values (19) 208
 
0.7%
Hiragana
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 76875
69.8%
ASCII 32016
29.1%
CJK 955
 
0.9%
None 303
 
0.3%
CJK Compat Ideographs 47
 
< 0.1%
Compat Jamo 2
 
< 0.1%
Hiragana 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
16195
50.6%
; 4739
 
14.8%
[ 3113
 
9.7%
] 3113
 
9.7%
a 382
 
1.2%
. 371
 
1.2%
i 302
 
0.9%
e 238
 
0.7%
o 224
 
0.7%
r 163
 
0.5%
Other values (69) 3176
 
9.9%
Hangul
ValueCountFrequency (%)
3858
 
5.0%
2737
 
3.6%
2282
 
3.0%
2275
 
3.0%
1727
 
2.2%
1511
 
2.0%
1461
 
1.9%
1415
 
1.8%
1318
 
1.7%
1301
 
1.7%
Other values (802) 56990
74.1%
None
ValueCountFrequency (%)
· 302
99.7%
1
 
0.3%
CJK
ValueCountFrequency (%)
128
 
13.4%
35
 
3.7%
28
 
2.9%
28
 
2.9%
17
 
1.8%
13
 
1.4%
13
 
1.4%
12
 
1.3%
12
 
1.3%
12
 
1.3%
Other values (302) 657
68.8%
CJK Compat Ideographs
ValueCountFrequency (%)
29
61.7%
6
 
12.8%
2
 
4.3%
2
 
4.3%
1
 
2.1%
1
 
2.1%
1
 
2.1%
1
 
2.1%
1
 
2.1%
1
 
2.1%
Other values (2) 2
 
4.3%
Compat Jamo
ValueCountFrequency (%)
1
50.0%
1
50.0%
Hiragana
ValueCountFrequency (%)
1
100.0%
Distinct2695
Distinct (%)27.0%
Missing1
Missing (%)< 0.1%
Memory size156.2 KiB
2024-03-18T13:07:30.195326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length25
Mean length5.0351035
Min length1

Characters and Unicode

Total characters50346
Distinct characters829
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

Unique1558 ?
Unique (%)15.6%

Sample

1st row인천직할시
2nd row생명의말씀사
3rd row다산북스
4th row인천광역시 중구
5th row사람과책
ValueCountFrequency (%)
인천광역시 745
 
6.9%
행정자치부 457
 
4.2%
중구 451
 
4.2%
인천발전연구원 137
 
1.3%
문학동네 119
 
1.1%
인천광역시중구 112
 
1.0%
김영사 95
 
0.9%
대원씨아이 89
 
0.8%
민음사 82
 
0.8%
창비 79
 
0.7%
Other values (2721) 8458
78.1%
2024-03-18T13:07:30.506509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1947
 
3.9%
1364
 
2.7%
1313
 
2.6%
1219
 
2.4%
1203
 
2.4%
1014
 
2.0%
1004
 
2.0%
984
 
2.0%
948
 
1.9%
912
 
1.8%
Other values (819) 38438
76.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 47500
94.3%
Lowercase Letter 932
 
1.9%
Space Separator 827
 
1.6%
Uppercase Letter 595
 
1.2%
Other Punctuation 204
 
0.4%
Decimal Number 200
 
0.4%
Close Punctuation 39
 
0.1%
Open Punctuation 39
 
0.1%
Dash Punctuation 10
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1947
 
4.1%
1364
 
2.9%
1313
 
2.8%
1219
 
2.6%
1203
 
2.5%
1014
 
2.1%
1004
 
2.1%
984
 
2.1%
948
 
2.0%
912
 
1.9%
Other values (744) 35592
74.9%
Uppercase Letter
ValueCountFrequency (%)
B 114
19.2%
M 66
11.1%
S 57
 
9.6%
K 50
 
8.4%
R 31
 
5.2%
H 26
 
4.4%
E 24
 
4.0%
C 23
 
3.9%
O 22
 
3.7%
P 21
 
3.5%
Other values (16) 161
27.1%
Lowercase Letter
ValueCountFrequency (%)
o 191
20.5%
e 93
10.0%
k 91
9.8%
s 83
8.9%
a 79
8.5%
i 78
8.4%
n 62
 
6.7%
b 56
 
6.0%
d 41
 
4.4%
r 36
 
3.9%
Other values (13) 122
13.1%
Other Punctuation
ValueCountFrequency (%)
: 130
63.7%
& 28
 
13.7%
· 13
 
6.4%
. 9
 
4.4%
; 9
 
4.4%
, 6
 
2.9%
4
 
2.0%
@ 2
 
1.0%
? 1
 
0.5%
# 1
 
0.5%
Decimal Number
ValueCountFrequency (%)
2 81
40.5%
1 80
40.0%
5 10
 
5.0%
8 9
 
4.5%
6 6
 
3.0%
0 6
 
3.0%
4 4
 
2.0%
3 3
 
1.5%
7 1
 
0.5%
Close Punctuation
ValueCountFrequency (%)
] 26
66.7%
) 13
33.3%
Open Punctuation
ValueCountFrequency (%)
[ 26
66.7%
( 13
33.3%
Space Separator
ValueCountFrequency (%)
827
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 46793
92.9%
Latin 1527
 
3.0%
Common 1319
 
2.6%
Han 707
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1947
 
4.2%
1364
 
2.9%
1313
 
2.8%
1219
 
2.6%
1203
 
2.6%
1014
 
2.2%
1004
 
2.1%
984
 
2.1%
948
 
2.0%
912
 
1.9%
Other values (613) 34885
74.6%
Han
ValueCountFrequency (%)
83
 
11.7%
39
 
5.5%
21
 
3.0%
21
 
3.0%
21
 
3.0%
21
 
3.0%
18
 
2.5%
18
 
2.5%
17
 
2.4%
17
 
2.4%
Other values (121) 431
61.0%
Latin
ValueCountFrequency (%)
o 191
 
12.5%
B 114
 
7.5%
e 93
 
6.1%
k 91
 
6.0%
s 83
 
5.4%
a 79
 
5.2%
i 78
 
5.1%
M 66
 
4.3%
n 62
 
4.1%
S 57
 
3.7%
Other values (39) 613
40.1%
Common
ValueCountFrequency (%)
827
62.7%
: 130
 
9.9%
2 81
 
6.1%
1 80
 
6.1%
& 28
 
2.1%
] 26
 
2.0%
[ 26
 
2.0%
( 13
 
1.0%
) 13
 
1.0%
· 13
 
1.0%
Other values (16) 82
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 46789
92.9%
ASCII 2829
 
5.6%
CJK 702
 
1.4%
None 17
 
< 0.1%
CJK Compat Ideographs 5
 
< 0.1%
Compat Jamo 4
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1947
 
4.2%
1364
 
2.9%
1313
 
2.8%
1219
 
2.6%
1203
 
2.6%
1014
 
2.2%
1004
 
2.1%
984
 
2.1%
948
 
2.0%
912
 
1.9%
Other values (610) 34881
74.5%
ASCII
ValueCountFrequency (%)
827
29.2%
o 191
 
6.8%
: 130
 
4.6%
B 114
 
4.0%
e 93
 
3.3%
k 91
 
3.2%
s 83
 
2.9%
2 81
 
2.9%
1 80
 
2.8%
a 79
 
2.8%
Other values (63) 1060
37.5%
CJK
ValueCountFrequency (%)
83
 
11.8%
39
 
5.6%
21
 
3.0%
21
 
3.0%
21
 
3.0%
21
 
3.0%
18
 
2.6%
18
 
2.6%
17
 
2.4%
17
 
2.4%
Other values (118) 426
60.7%
None
ValueCountFrequency (%)
· 13
76.5%
4
 
23.5%
CJK Compat Ideographs
ValueCountFrequency (%)
3
60.0%
1
 
20.0%
1
 
20.0%
Compat Jamo
ValueCountFrequency (%)
2
50.0%
1
25.0%
1
25.0%

발행년도
Categorical

HIGH CORRELATION 

Distinct48
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2008
1452 
2009
757 
2007
733 
2010
697 
2011
614 
Other values (43)
5747 

Length

Max length5
Median length4
Mean length4.0048
Min length4

Unique

Unique7 ?
Unique (%)0.1%

Sample

1st row발행년미상
2nd row2010
3rd row2018
4th row2014
5th row2013

Common Values

ValueCountFrequency (%)
2008 1452
 
14.5%
2009 757
 
7.6%
2007 733
 
7.3%
2010 697
 
7.0%
2011 614
 
6.1%
2012 569
 
5.7%
2013 511
 
5.1%
2006 333
 
3.3%
1995 315
 
3.1%
2014 304
 
3.0%
Other values (38) 3715
37.1%

Length

2024-03-18T13:07:30.623697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2008 1452
 
14.5%
2009 757
 
7.6%
2007 733
 
7.3%
2010 697
 
7.0%
2011 614
 
6.1%
2012 569
 
5.7%
2013 511
 
5.1%
2006 333
 
3.3%
1995 315
 
3.1%
2014 304
 
3.0%
Other values (38) 3715
37.1%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2023-08-01 00:00:00
Maximum2023-08-01 00:00:00
2024-03-18T13:07:30.699854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T13:07:30.787892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-03-18T13:07:27.916997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-18T13:07:30.846616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호발행년도
번호1.0000.989
발행년도0.9891.000
2024-03-18T13:07:30.915376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호발행년도
번호1.0000.903
발행년도0.9031.000

Missing values

2024-03-18T13:07:28.108932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-18T13:07:28.213658image/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.
2024-03-18T13:07:28.298631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

번호도서명저자출판사발행년도데이터기준일자
120121중앙·지방사무 총람. 2인천직할시 [편]인천직할시발행년미상2023-08-01
1676116762파워리더가 되라정병관생명의말씀사20102023-08-01
2489424895나는 둔감하게 살기로 했다 : 초조하지 않게, 급하지 않게, 나답게 사는 법와타나베 준이치 ;정세영 옮김다산북스20182023-08-01
2251722518구보 . 669인천광역시 중구[편]인천광역시 중구20142023-08-01
2160121602(우울증을 다스리는)마음챙김 명상마크 윌리엄스;존 티즈데일;진델 세갈;존 카밧진;차재호사람과책20132023-08-01
259472594850부터는 물건은 뺄셈 마음은 덧셈 = Change My Life : 이것만 알아도 50 이후의 삶은 풍요로워진다이노우에 가즈코 ;김진연 옮김센시오20202023-08-01
858859체계 대법원판결례. 3 : 민법한국법사연구원 편법전출판사19922023-08-01
1026710268별지기 아저씨가 들려주는 별 이야기이한주 글;김영곤 그림진선아이20082023-08-01
2365923660(기본연구 2015-09)광역 지역별 인력수급 정망. 2, 2013-2023한국고용정보원 편저한국고용정보원20152023-08-01
2558425585모든 사람에게 좋은 사람일 필요는 없어김유은좋은북스20192023-08-01
번호도서명저자출판사발행년도데이터기준일자
1776917770종이 봉지 공주로버트 문치 글;마이클 마첸코 그림;김태희 옮김비룡소20112023-08-01
1425114252구보 . 329인천광역시 중구 [편]인천광역시 중구20092023-08-01
1139011391지방분권시대의 한국지방재정학김동기 저법문사20082023-08-01
1245712458그리스 문명의 오리엔트 전통발터 부르케르트 ;남경태 옮김사계절20082023-08-01
520521전쟁과사랑. 3권정현웅저해냄출판사19902023-08-01
1797017971(풀과 벌레를 즐겨 그린 화가)신사임당조용진 글나무숲20112023-08-01
1109311094관보 . 16727행정자치부 [편]행정자치부20082023-08-01
2248922490구보 . 653인천광역시 중구[편]인천광역시 중구20142023-08-01
2276722768혁명 : 광활한 인간 정도전. 1김탁환민음사20142023-08-01
1695716958고도육성 미래의 국가경쟁력입니다문화재청문화재청20102023-08-01