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

Numeric1
Text1
DateTime1

Dataset

Description경남 창원시 도서관사업소 홈페이지의 인기 검색어 목록에 대한 데이터 입니다. 항목은 일련번호, 검색어, 검색일을 제공합니다.
Author경상남도 창원시
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15088775

Alerts

연번 has unique valuesUnique

Reproduction

Analysis started2023-12-11 00:33:22.886163
Analysis finished2023-12-11 00:33:23.366100
Duration0.48 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%
Mean6441.6976
Minimum3
Maximum12870
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T09:33:23.448090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile660.9
Q13227.75
median6454.5
Q39643.25
95-th percentile12210.05
Maximum12870
Range12867
Interquartile range (IQR)6415.5

Descriptive statistics

Standard deviation3704.1322
Coefficient of variation (CV)0.57502424
Kurtosis-1.1977753
Mean6441.6976
Median Absolute Deviation (MAD)3210.5
Skewness-0.0054780346
Sum64416976
Variance13720596
MonotonicityNot monotonic
2023-12-11T09:33:23.661384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
612 1
 
< 0.1%
274 1
 
< 0.1%
4569 1
 
< 0.1%
3967 1
 
< 0.1%
10725 1
 
< 0.1%
10016 1
 
< 0.1%
943 1
 
< 0.1%
5824 1
 
< 0.1%
4830 1
 
< 0.1%
451 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
11 1
< 0.1%
12 1
< 0.1%
ValueCountFrequency (%)
12870 1
< 0.1%
12869 1
< 0.1%
12867 1
< 0.1%
12866 1
< 0.1%
12865 1
< 0.1%
12864 1
< 0.1%
12863 1
< 0.1%
12862 1
< 0.1%
12860 1
< 0.1%
12859 1
< 0.1%

검색어
Text

Distinct934
Distinct (%)9.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-11T09:33:24.109995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length9
Mean length2.5239
Min length1

Characters and Unicode

Total characters25239
Distinct characters494
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique619 ?
Unique (%)6.2%

Sample

1st row정기대출
2nd row날
3rd row광복절
4th row챌린지
5th row구연
ValueCountFrequency (%)
영화 1048
 
10.5%
북스타트 948
 
9.5%
날 893
 
8.9%
구연 891
 
8.9%
반납 856
 
8.6%
사물함 768
 
7.7%
꾸러미 301
 
3.0%
인문학 282
 
2.8%
기간제 281
 
2.8%
독서회 252
 
2.5%
Other values (920) 3480
34.8%
2023-12-11T09:33:24.627765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
화 1197
 
4.7%
영 1087
 
4.3%
타 1072
 
4.2%
북 1001
 
4.0%
트 980
 
3.9%
스 978
 
3.9%
연 946
 
3.7%
반 911
 
3.6%
구 902
 
3.6%
날 899
 
3.6%
Other values (484) 15266
60.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 24871
98.5%
Lowercase Letter 235
 
0.9%
Decimal Number 98
 
0.4%
Uppercase Letter 32
 
0.1%
Other Punctuation 2
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
화 1197
 
4.8%
영 1087
 
4.4%
타 1072
 
4.3%
북 1001
 
4.0%
트 980
 
3.9%
스 978
 
3.9%
연 946
 
3.8%
반 911
 
3.7%
구 902
 
3.6%
날 899
 
3.6%
Other values (432) 14898
59.9%
Lowercase Letter
ValueCountFrequency (%)
d 49
20.9%
v 19
 
8.1%
r 15
 
6.4%
t 14
 
6.0%
i 13
 
5.5%
h 11
 
4.7%
f 11
 
4.7%
w 11
 
4.7%
k 10
 
4.3%
o 9
 
3.8%
Other values (16) 73
31.1%
Uppercase Letter
ValueCountFrequency (%)
D 11
34.4%
V 4
 
12.5%
O 3
 
9.4%
W 3
 
9.4%
M 2
 
6.2%
E 1
 
3.1%
K 1
 
3.1%
B 1
 
3.1%
A 1
 
3.1%
L 1
 
3.1%
Other values (4) 4
 
12.5%
Decimal Number
ValueCountFrequency (%)
0 27
27.6%
2 17
17.3%
1 15
15.3%
3 10
 
10.2%
9 7
 
7.1%
5 7
 
7.1%
8 5
 
5.1%
6 5
 
5.1%
4 3
 
3.1%
7 2
 
2.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 24871
98.5%
Latin 267
 
1.1%
Common 101
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
화 1197
 
4.8%
영 1087
 
4.4%
타 1072
 
4.3%
북 1001
 
4.0%
트 980
 
3.9%
스 978
 
3.9%
연 946
 
3.8%
반 911
 
3.7%
구 902
 
3.6%
날 899
 
3.6%
Other values (432) 14898
59.9%
Latin
ValueCountFrequency (%)
d 49
18.4%
v 19
 
7.1%
r 15
 
5.6%
t 14
 
5.2%
i 13
 
4.9%
D 11
 
4.1%
h 11
 
4.1%
f 11
 
4.1%
w 11
 
4.1%
k 10
 
3.7%
Other values (30) 103
38.6%
Common
ValueCountFrequency (%)
0 27
26.7%
2 17
16.8%
1 15
14.9%
3 10
 
9.9%
9 7
 
6.9%
5 7
 
6.9%
8 5
 
5.0%
6 5
 
5.0%
4 3
 
3.0%
. 2
 
2.0%
Other values (2) 3
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 24857
98.5%
ASCII 368
 
1.5%
Compat Jamo 14
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
화 1197
 
4.8%
영 1087
 
4.4%
타 1072
 
4.3%
북 1001
 
4.0%
트 980
 
3.9%
스 978
 
3.9%
연 946
 
3.8%
반 911
 
3.7%
구 902
 
3.6%
날 899
 
3.6%
Other values (421) 14884
59.9%
ASCII
ValueCountFrequency (%)
d 49
 
13.3%
0 27
 
7.3%
v 19
 
5.2%
2 17
 
4.6%
r 15
 
4.1%
1 15
 
4.1%
t 14
 
3.8%
i 13
 
3.5%
D 11
 
3.0%
h 11
 
3.0%
Other values (42) 177
48.1%
Compat Jamo
ValueCountFrequency (%)
ㅏ 2
14.3%
ㅓ 2
14.3%
ㅇ 2
14.3%
ㄸ 1
7.1%
ㅣ 1
7.1%
ㅛ 1
7.1%
ㄱ 1
7.1%
ㅡ 1
7.1%
ㄴ 1
7.1%
ㅜ 1
7.1%

검색일
Date

Distinct182
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2021-03-18 00:00:00
Maximum2021-09-15 00:00:00
2023-12-11T09:33:24.781342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:33:25.202877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Interactions

2023-12-11T09:33:23.141035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-12-11T09:33:23.260110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T09:33:23.334155image/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

연번검색어검색일
611612정기대출2021-03-31
1034710348날2021-08-30
1263812639광복절2021-09-14
99419942챌린지2021-08-27
73167317구연2021-07-14
78787879디지털2021-07-22
2324날2021-03-18
56705671개관2021-06-18
68546855인문학2021-07-10
37143715동화작가2021-05-26
연번검색어검색일
837838교과연계2021-04-06
61126113개관2021-06-23
1238312384사물함2021-09-09
43304331식당2021-06-03
47474748날2021-06-10
46124613자유2021-06-08
42904291반납2021-06-02
1182711828영화2021-09-07
34583459구연2021-05-22
1125311254북스타트2021-09-06