Overview

Dataset statistics

Number of variables3
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory322.3 KiB
Average record size in memory33.0 B

Variable types

Text2
Numeric1

Dataset

Description경기도_고양시_도서관센터컨텐츠이용정보(상품코드, 컨텐츠 한글명, 대출권수) - 고양시 시립도서관 19개관 및 작은도서관 컨텐츠 이용정보 현황 작성
URLhttps://www.data.go.kr/data/15085093/fileData.do

Alerts

상품코드 has unique valuesUnique

Reproduction

Analysis started2023-12-12 02:54:39.194157
Analysis finished2023-12-12 02:54:41.102236
Duration1.91 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

상품코드
Text

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T11:54:41.330811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length13
Mean length11.0086
Min length6

Characters and Unicode

Total characters110086
Distinct characters39
Distinct categories5 ?
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 row4801168473691
2nd row03070050
3rd rowF0712122
4th rowX0022630
5th row4808960541788
ValueCountFrequency (%)
4801168473691 1
 
< 0.1%
03060393 1
 
< 0.1%
03011754 1
 
< 0.1%
4808960975125 1
 
< 0.1%
01080156 1
 
< 0.1%
4808950974435 1
 
< 0.1%
4808969940216 1
 
< 0.1%
01080133 1
 
< 0.1%
6729278 1
 
< 0.1%
4801188348122 1
 
< 0.1%
Other values (9990) 9990
99.9%
2023-12-12T11:54:41.809240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 22351
20.3%
1 13599
12.4%
8 12289
11.2%
4 10903
9.9%
2 8181
 
7.4%
9 8103
 
7.4%
3 7809
 
7.1%
6 6990
 
6.3%
5 6965
 
6.3%
7 5973
 
5.4%
Other values (29) 6923
 
6.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 103163
93.7%
Uppercase Letter 4580
 
4.2%
Dash Punctuation 1252
 
1.1%
Lowercase Letter 782
 
0.7%
Connector Punctuation 309
 
0.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
z 179
22.9%
c 104
13.3%
f 103
13.2%
b 101
12.9%
e 88
11.3%
d 77
9.8%
a 75
9.6%
l 27
 
3.5%
m 9
 
1.2%
x 7
 
0.9%
Other values (6) 12
 
1.5%
Uppercase Letter
ValueCountFrequency (%)
B 915
20.0%
D 715
15.6%
A 649
14.2%
E 584
12.8%
F 559
12.2%
C 524
11.4%
N 439
9.6%
X 123
 
2.7%
W 65
 
1.4%
P 5
 
0.1%
Decimal Number
ValueCountFrequency (%)
0 22351
21.7%
1 13599
13.2%
8 12289
11.9%
4 10903
10.6%
2 8181
 
7.9%
9 8103
 
7.9%
3 7809
 
7.6%
6 6990
 
6.8%
5 6965
 
6.8%
7 5973
 
5.8%
Dash Punctuation
ValueCountFrequency (%)
- 1252
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 309
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 104724
95.1%
Latin 5362
 
4.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
B 915
17.1%
D 715
13.3%
A 649
12.1%
E 584
10.9%
F 559
10.4%
C 524
9.8%
N 439
8.2%
z 179
 
3.3%
X 123
 
2.3%
c 104
 
1.9%
Other values (17) 571
10.6%
Common
ValueCountFrequency (%)
0 22351
21.3%
1 13599
13.0%
8 12289
11.7%
4 10903
10.4%
2 8181
 
7.8%
9 8103
 
7.7%
3 7809
 
7.5%
6 6990
 
6.7%
5 6965
 
6.7%
7 5973
 
5.7%
Other values (2) 1561
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 110086
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 22351
20.3%
1 13599
12.4%
8 12289
11.2%
4 10903
9.9%
2 8181
 
7.4%
9 8103
 
7.4%
3 7809
 
7.1%
6 6990
 
6.3%
5 6965
 
6.3%
7 5973
 
5.4%
Other values (29) 6923
 
6.3%

컨텐츠한글명
Text

Distinct9871
Distinct (%)98.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T11:54:42.323857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length89
Median length65
Mean length15.9418
Min length1

Characters and Unicode

Total characters159418
Distinct characters1374
Distinct categories17 ?
Distinct scripts5 ?
Distinct blocks11 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9772 ?
Unique (%)97.7%

Sample

1st row세이노의 가르침
2nd row한국의 명수필
3rd row백설공주1
4th row황제의 꿈 2부 1 - 이원호 장편소설
5th row돈 공부 입문
ValueCountFrequency (%)
2225
 
5.2%
이야기 354
 
0.8%
1 342
 
0.8%
2 330
 
0.8%
읽는 221
 
0.5%
위한 181
 
0.4%
나는 181
 
0.4%
세계 171
 
0.4%
3 164
 
0.4%
the 155
 
0.4%
Other values (16848) 38626
89.9%
2023-12-12T11:54:43.088459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
33208
 
20.8%
이 3111
 
2.0%
의 2901
 
1.8%
는 2462
 
1.5%
기 1874
 
1.2%
- 1720
 
1.1%
리 1611
 
1.0%
어 1513
 
0.9%
다 1511
 
0.9%
사 1481
 
0.9%
Other values (1364) 108026
67.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 104744
65.7%
Space Separator 33208
 
20.8%
Lowercase Letter 7840
 
4.9%
Decimal Number 4731
 
3.0%
Uppercase Letter 3165
 
2.0%
Other Punctuation 2281
 
1.4%
Dash Punctuation 1720
 
1.1%
Close Punctuation 751
 
0.5%
Open Punctuation 751
 
0.5%
Math Symbol 104
 
0.1%
Other values (7) 123
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 3111
 
3.0%
의 2901
 
2.8%
는 2462
 
2.4%
기 1874
 
1.8%
리 1611
 
1.5%
어 1513
 
1.4%
다 1511
 
1.4%
사 1481
 
1.4%
가 1427
 
1.4%
한 1419
 
1.4%
Other values (1245) 85434
81.6%
Lowercase Letter
ValueCountFrequency (%)
e 1031
13.2%
o 706
 
9.0%
n 673
 
8.6%
i 642
 
8.2%
a 623
 
7.9%
t 523
 
6.7%
s 519
 
6.6%
r 479
 
6.1%
h 403
 
5.1%
l 375
 
4.8%
Other values (22) 1866
23.8%
Uppercase Letter
ValueCountFrequency (%)
T 333
 
10.5%
S 273
 
8.6%
E 247
 
7.8%
L 195
 
6.2%
C 193
 
6.1%
B 182
 
5.8%
O 174
 
5.5%
A 164
 
5.2%
I 155
 
4.9%
M 145
 
4.6%
Other values (17) 1104
34.9%
Other Punctuation
ValueCountFrequency (%)
, 725
31.8%
: 689
30.2%
. 323
14.2%
? 218
 
9.6%
! 166
 
7.3%
/ 73
 
3.2%
· 26
 
1.1%
& 18
 
0.8%
% 14
 
0.6%
@ 7
 
0.3%
Other values (7) 22
 
1.0%
Decimal Number
ValueCountFrequency (%)
1 1194
25.2%
0 940
19.9%
2 901
19.0%
3 545
11.5%
5 287
 
6.1%
4 271
 
5.7%
6 177
 
3.7%
9 156
 
3.3%
7 132
 
2.8%
8 128
 
2.7%
Math Symbol
ValueCountFrequency (%)
~ 57
54.8%
｜ 24
23.1%
+ 9
 
8.7%
× 4
 
3.8%
< 3
 
2.9%
> 3
 
2.9%
÷ 2
 
1.9%
| 1
 
1.0%
∏ 1
 
1.0%
Close Punctuation
ValueCountFrequency (%)
) 632
84.2%
] 117
 
15.6%
」 1
 
0.1%
》 1
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 632
84.2%
[ 117
 
15.6%
「 1
 
0.1%
《 1
 
0.1%
Letter Number
ValueCountFrequency (%)
Ⅰ 12
54.5%
Ⅱ 9
40.9%
Ⅲ 1
 
4.5%
Final Punctuation
ValueCountFrequency (%)
’ 41
95.3%
” 2
 
4.7%
Initial Punctuation
ValueCountFrequency (%)
‘ 6
75.0%
“ 2
 
25.0%
Other Number
ValueCountFrequency (%)
① 2
66.7%
② 1
33.3%
Modifier Symbol
ValueCountFrequency (%)
` 2
66.7%
´ 1
33.3%
Other Symbol
ValueCountFrequency (%)
ⓝ 1
50.0%
℃ 1
50.0%
Space Separator
ValueCountFrequency (%)
33208
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1720
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 42
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 104687
65.7%
Common 43647
27.4%
Latin 11015
 
6.9%
Han 57
 
< 0.1%
Cyrillic 12
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 3111
 
3.0%
의 2901
 
2.8%
는 2462
 
2.4%
기 1874
 
1.8%
리 1611
 
1.5%
어 1513
 
1.4%
다 1511
 
1.4%
사 1481
 
1.4%
가 1427
 
1.4%
한 1419
 
1.4%
Other values (1211) 85377
81.6%
Common
ValueCountFrequency (%)
33208
76.1%
- 1720
 
3.9%
1 1194
 
2.7%
0 940
 
2.2%
2 901
 
2.1%
, 725
 
1.7%
: 689
 
1.6%
) 632
 
1.4%
( 632
 
1.4%
3 545
 
1.2%
Other values (47) 2461
 
5.6%
Latin
ValueCountFrequency (%)
e 1031
 
9.4%
o 706
 
6.4%
n 673
 
6.1%
i 642
 
5.8%
a 623
 
5.7%
t 523
 
4.7%
s 519
 
4.7%
r 479
 
4.3%
h 403
 
3.7%
l 375
 
3.4%
Other values (45) 5041
45.8%
Han
ValueCountFrequency (%)
英 4
 
7.0%
記 4
 
7.0%
雄 4
 
7.0%
性 4
 
7.0%
論 4
 
7.0%
主 4
 
7.0%
君 4
 
7.0%
國 2
 
3.5%
生 2
 
3.5%
思 1
 
1.8%
Other values (24) 24
42.1%
Cyrillic
ValueCountFrequency (%)
э 4
33.3%
л 2
16.7%
г 2
16.7%
и 1
 
8.3%
я 1
 
8.3%
Ш 1
 
8.3%
н 1
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 104647
65.6%
ASCII 54513
34.2%
None 64
 
< 0.1%
Punctuation 57
 
< 0.1%
CJK 57
 
< 0.1%
Compat Jamo 40
 
< 0.1%
Number Forms 22
 
< 0.1%
Cyrillic 12
 
< 0.1%
Enclosed Alphanum 4
 
< 0.1%
Math Operators 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
33208
60.9%
- 1720
 
3.2%
1 1194
 
2.2%
e 1031
 
1.9%
0 940
 
1.7%
2 901
 
1.7%
, 725
 
1.3%
o 706
 
1.3%
: 689
 
1.3%
n 673
 
1.2%
Other values (78) 12726
 
23.3%
Hangul
ValueCountFrequency (%)
이 3111
 
3.0%
의 2901
 
2.8%
는 2462
 
2.4%
기 1874
 
1.8%
리 1611
 
1.5%
어 1513
 
1.4%
다 1511
 
1.4%
사 1481
 
1.4%
가 1427
 
1.4%
한 1419
 
1.4%
Other values (1210) 85337
81.5%
Punctuation
ValueCountFrequency (%)
’ 41
71.9%
… 6
 
10.5%
‘ 6
 
10.5%
” 2
 
3.5%
“ 2
 
3.5%
Compat Jamo
ValueCountFrequency (%)
ㆍ 40
100.0%
None
ValueCountFrequency (%)
· 26
40.6%
｜ 24
37.5%
× 4
 
6.2%
÷ 2
 
3.1%
＆ 2
 
3.1%
％ 1
 
1.6%
´ 1
 
1.6%
」 1
 
1.6%
「 1
 
1.6%
《 1
 
1.6%
Number Forms
ValueCountFrequency (%)
Ⅰ 12
54.5%
Ⅱ 9
40.9%
Ⅲ 1
 
4.5%
CJK
ValueCountFrequency (%)
英 4
 
7.0%
記 4
 
7.0%
雄 4
 
7.0%
性 4
 
7.0%
論 4
 
7.0%
主 4
 
7.0%
君 4
 
7.0%
國 2
 
3.5%
生 2
 
3.5%
思 1
 
1.8%
Other values (24) 24
42.1%
Cyrillic
ValueCountFrequency (%)
э 4
33.3%
л 2
16.7%
г 2
16.7%
и 1
 
8.3%
я 1
 
8.3%
Ш 1
 
8.3%
н 1
 
8.3%
Enclosed Alphanum
ValueCountFrequency (%)
① 2
50.0%
② 1
25.0%
ⓝ 1
25.0%
Math Operators
ValueCountFrequency (%)
∏ 1
100.0%
Letterlike Symbols
ValueCountFrequency (%)
℃ 1
100.0%

대출권수
Real number (ℝ)

Distinct441
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean52.94
Minimum1
Maximum2480
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T11:54:43.311406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q15
median23
Q367
95-th percentile179
Maximum2480
Range2479
Interquartile range (IQR)62

Descriptive statistics

Standard deviation99.649625
Coefficient of variation (CV)1.8823125
Kurtosis121.36722
Mean52.94
Median Absolute Deviation (MAD)20
Skewness8.3180724
Sum529400
Variance9930.0478
MonotonicityNot monotonic
2023-12-12T11:54:43.544380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 728
 
7.3%
2 559
 
5.6%
3 501
 
5.0%
4 416
 
4.2%
5 305
 
3.0%
6 283
 
2.8%
7 241
 
2.4%
8 210
 
2.1%
9 161
 
1.6%
12 155
 
1.6%
Other values (431) 6441
64.4%
ValueCountFrequency (%)
1 728
7.3%
2 559
5.6%
3 501
5.0%
4 416
4.2%
5 305
3.0%
6 283
 
2.8%
7 241
 
2.4%
8 210
 
2.1%
9 161
 
1.6%
10 153
 
1.5%
ValueCountFrequency (%)
2480 1
< 0.1%
2111 1
< 0.1%
1898 1
< 0.1%
1874 1
< 0.1%
1839 1
< 0.1%
1640 1
< 0.1%
1486 1
< 0.1%
1213 1
< 0.1%
1173 1
< 0.1%
1168 1
< 0.1%

Interactions

2023-12-12T11:54:40.632371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-12-12T11:54:40.871278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T11:54:41.031651image/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

상품코드컨텐츠한글명대출권수
81024801168473691세이노의 가르침14
482403070050한국의 명수필15
15623F0712122백설공주19
16700X0022630황제의 꿈 2부 1 - 이원호 장편소설101
120194808960541788돈 공부 입문124
56001050414두비두비 무엇이 될까? - 울퉁불퉁 힘센 거인3
13740480D220522590LMO 유전자변형생물체 안전관리 가이드7
117444808956542317당뇨병 예방과 치료를 위한 실천계획47
75164801160408288내밀 예찬43
15836N1408087(어디에나 있고 어디에도 없는 책방에서 자신이 읽어본 책만 파는) 책방 주인4
상품코드컨텐츠한글명대출권수
373403030381오즈의 마법사 시리즈 8 - 오즈의 틱톡4
516603100292악당 와콘과 쌍둥이 남매 : 남미 민화 - 산하세계어린이 151
113554808950986438정시 퇴근하겠습니다85
134654808998886769집 도시를 만들고 사람을 이어주다38
67401070242일본어로 만나는 세계 명작동화 - 헨젤과 그레텔14
126514808973372577가미가제 독고다이27
93034801190157897돌이킬 수 없는 약속27
133964808997969111나의 운명 사용설명서146
96524801191393461보이지 않는 것에 의미가 있다45
249802120833사냥꾼1