Overview

Dataset statistics

Number of variables3
Number of observations796
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory19.6 KiB
Average record size in memory25.2 B

Variable types

Categorical1
Text1
Numeric1

Dataset

Description기관 대표 홈페이지의 연간 인기 키워드에 대한 정보로써 키워드가 등록된 날짜, 키워드, 조회수 항목 정보를 제공합니다.
Author한국보건산업진흥원
URLhttps://www.data.go.kr/data/15122038/fileData.do

Reproduction

Analysis started2023-12-12 21:07:46.736951
Analysis finished2023-12-12 21:07:47.237766
Duration0.5 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

키워드 날짜
Categorical

Distinct8
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
2020-12-31
100 
2018-12-31
100 
2021-12-31
100 
2015-12-31
100 
2017-12-31
100 
Other values (3)
296 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2020-12-31
2nd row2020-12-31
3rd row2020-12-31
4th row2020-12-31
5th row2020-12-31

Common Values

ValueCountFrequency (%)
2020-12-31 100
12.6%
2018-12-31 100
12.6%
2021-12-31 100
12.6%
2015-12-31 100
12.6%
2017-12-31 100
12.6%
2017-09-25 100
12.6%
2022-12-31 100
12.6%
2019-12-31 96
12.1%

Length

2023-12-13T06:07:47.299492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:07:47.439517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2020-12-31 100
12.6%
2018-12-31 100
12.6%
2021-12-31 100
12.6%
2015-12-31 100
12.6%
2017-12-31 100
12.6%
2017-09-25 100
12.6%
2022-12-31 100
12.6%
2019-12-31 96
12.1%

키워드
Text

Distinct464
Distinct (%)58.3%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
2023-12-13T06:07:47.700207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length98
Median length93
Mean length8.281407
Min length1

Characters and Unicode

Total characters6592
Distinct characters352
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique308 ?
Unique (%)38.7%

Sample

1st row공고
2nd row2019년
3rd row2019
4th row고령
5th row개최
ValueCountFrequency (%)
medical 35
 
3.3%
korea 19
 
1.8%
bio 18
 
1.7%
device 18
 
1.7%
market 18
 
1.7%
global 17
 
1.6%
kimes 11
 
1.0%
2019 10
 
0.9%
khidi 9
 
0.8%
ghkol 8
 
0.7%
Other values (513) 908
84.8%
2023-12-13T06:07:48.118531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
290
 
4.4%
e 279
 
4.2%
a 239
 
3.6%
, 222
 
3.4%
i 184
 
2.8%
l 157
 
2.4%
r 157
 
2.4%
o 137
 
2.1%
0 135
 
2.0%
I 134
 
2.0%
Other values (342) 4658
70.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2082
31.6%
Lowercase Letter 1988
30.2%
Uppercase Letter 1349
20.5%
Decimal Number 537
 
8.1%
Space Separator 290
 
4.4%
Other Punctuation 260
 
3.9%
Dash Punctuation 39
 
0.6%
Close Punctuation 20
 
0.3%
Open Punctuation 20
 
0.3%
Math Symbol 7
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 62
 
3.0%
업 55
 
2.6%
고 47
 
2.3%
년 43
 
2.1%
인 42
 
2.0%
산 39
 
1.9%
공 38
 
1.8%
가 38
 
1.8%
시 35
 
1.7%
차 35
 
1.7%
Other values (267) 1648
79.2%
Uppercase Letter
ValueCountFrequency (%)
I 134
 
9.9%
A 110
 
8.2%
M 108
 
8.0%
K 100
 
7.4%
D 85
 
6.3%
B 82
 
6.1%
O 73
 
5.4%
C 72
 
5.3%
E 70
 
5.2%
T 70
 
5.2%
Other values (16) 445
33.0%
Lowercase Letter
ValueCountFrequency (%)
e 279
14.0%
a 239
12.0%
i 184
9.3%
l 157
 
7.9%
r 157
 
7.9%
o 137
 
6.9%
t 114
 
5.7%
n 113
 
5.7%
c 100
 
5.0%
s 74
 
3.7%
Other values (15) 434
21.8%
Decimal Number
ValueCountFrequency (%)
0 135
25.1%
2 128
23.8%
1 113
21.0%
7 35
 
6.5%
4 34
 
6.3%
3 25
 
4.7%
9 22
 
4.1%
5 18
 
3.4%
8 17
 
3.2%
6 10
 
1.9%
Other Punctuation
ValueCountFrequency (%)
, 222
85.4%
. 25
 
9.6%
& 10
 
3.8%
· 2
 
0.8%
' 1
 
0.4%
Math Symbol
ValueCountFrequency (%)
+ 5
71.4%
= 1
 
14.3%
~ 1
 
14.3%
Close Punctuation
ValueCountFrequency (%)
) 19
95.0%
] 1
 
5.0%
Open Punctuation
ValueCountFrequency (%)
( 19
95.0%
[ 1
 
5.0%
Space Separator
ValueCountFrequency (%)
290
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 39
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 3337
50.6%
Hangul 2082
31.6%
Common 1173
 
17.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 62
 
3.0%
업 55
 
2.6%
고 47
 
2.3%
년 43
 
2.1%
인 42
 
2.0%
산 39
 
1.9%
공 38
 
1.8%
가 38
 
1.8%
시 35
 
1.7%
차 35
 
1.7%
Other values (267) 1648
79.2%
Latin
ValueCountFrequency (%)
e 279
 
8.4%
a 239
 
7.2%
i 184
 
5.5%
l 157
 
4.7%
r 157
 
4.7%
o 137
 
4.1%
I 134
 
4.0%
t 114
 
3.4%
n 113
 
3.4%
A 110
 
3.3%
Other values (41) 1713
51.3%
Common
ValueCountFrequency (%)
290
24.7%
, 222
18.9%
0 135
11.5%
2 128
10.9%
1 113
 
9.6%
- 39
 
3.3%
7 35
 
3.0%
4 34
 
2.9%
. 25
 
2.1%
3 25
 
2.1%
Other values (14) 127
10.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4508
68.4%
Hangul 2082
31.6%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
290
 
6.4%
e 279
 
6.2%
a 239
 
5.3%
, 222
 
4.9%
i 184
 
4.1%
l 157
 
3.5%
r 157
 
3.5%
o 137
 
3.0%
0 135
 
3.0%
I 134
 
3.0%
Other values (64) 2574
57.1%
Hangul
ValueCountFrequency (%)
기 62
 
3.0%
업 55
 
2.6%
고 47
 
2.3%
년 43
 
2.1%
인 42
 
2.0%
산 39
 
1.9%
공 38
 
1.8%
가 38
 
1.8%
시 35
 
1.7%
차 35
 
1.7%
Other values (267) 1648
79.2%
None
ValueCountFrequency (%)
· 2
100.0%

조회수
Real number (ℝ)

Distinct672
Distinct (%)84.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25566.974
Minimum1
Maximum717746
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.1 KiB
2023-12-13T06:07:48.270344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile68
Q1252.75
median1043.5
Q37392.25
95-th percentile150013
Maximum717746
Range717745
Interquartile range (IQR)7139.5

Descriptive statistics

Standard deviation73374.681
Coefficient of variation (CV)2.8699009
Kurtosis34.033378
Mean25566.974
Median Absolute Deviation (MAD)917
Skewness5.143721
Sum20351311
Variance5.3838438 × 109
MonotonicityNot monotonic
2023-12-13T06:07:48.430252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
68 5
 
0.6%
244 4
 
0.5%
1142 4
 
0.5%
208 4
 
0.5%
211 4
 
0.5%
221 3
 
0.4%
194 3
 
0.4%
77 3
 
0.4%
3 3
 
0.4%
79 3
 
0.4%
Other values (662) 760
95.5%
ValueCountFrequency (%)
1 1
 
0.1%
3 3
0.4%
6 3
0.4%
10 1
 
0.1%
12 1
 
0.1%
16 1
 
0.1%
23 1
 
0.1%
24 1
 
0.1%
29 1
 
0.1%
30 1
 
0.1%
ValueCountFrequency (%)
717746 1
0.1%
672011 1
0.1%
671051 1
0.1%
532779 1
0.1%
532626 1
0.1%
400329 1
0.1%
398011 1
0.1%
380790 1
0.1%
368800 1
0.1%
357822 1
0.1%

Interactions

2023-12-13T06:07:46.969049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T06:07:48.513171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
키워드 날짜조회수
키워드 날짜1.0000.243
조회수0.2431.000
2023-12-13T06:07:48.594862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
조회수키워드 날짜
조회수1.0000.083
키워드 날짜0.0831.000

Missing values

2023-12-13T06:07:47.114335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T06:07:47.207989image/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

키워드 날짜키워드조회수
02020-12-31공고532626
12020-12-312019년380790
22020-12-312019259956
32020-12-31고령218570
42020-12-31개최209983
52020-12-31가이드라인207761
62020-12-31KOTRA185716
72020-12-31NET168884
82020-12-31R&D151591
92020-12-31UAE150616
키워드 날짜키워드조회수
7862022-12-31=309
7872022-12-314분기302
7882022-12-31Industry284
7892022-12-318월5일270
7902022-12-31대상과제257
7912022-12-312022년 제1회 KBIC STAR DAY244
7922022-12-31개최 (2.24(목))244
7932022-12-31디지털병리172
7942022-12-31기술3
7952022-12-31국가기술표준원3