Overview

Dataset statistics

Number of variables13
Number of observations197
Missing cells104
Missing cells (%)4.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory21.1 KiB
Average record size in memory109.7 B

Variable types

Text2
Categorical3
Numeric5
Boolean1
DateTime2

Dataset

Description2020년 1년간 한국항공우주연구원 메인 홈페이지에 업데이트된 이미지의 기본정보입니다.
Author한국항공우주연구원
URLhttps://www.data.go.kr/data/15091997/fileData.do

Alerts

공개여부 has constant value ""Constant
일련번호 is highly overall correlated with 가로 해상도 and 1 other fieldsHigh correlation
가로 해상도 is highly overall correlated with 일련번호 and 3 other fieldsHigh correlation
세로 해상도 is highly overall correlated with 가로 해상도 and 2 other fieldsHigh correlation
조회 수 is highly overall correlated with 구분 and 2 other fieldsHigh correlation
다운로드 수 is highly overall correlated with 구분 and 2 other fieldsHigh correlation
구분 is highly overall correlated with 가로 해상도 and 5 other fieldsHigh correlation
공공누리 is highly overall correlated with 가로 해상도 and 5 other fieldsHigh correlation
메인표기여부 is highly overall correlated with 일련번호 and 4 other fieldsHigh correlation
가로 해상도 has 52 (26.4%) missing valuesMissing
세로 해상도 has 52 (26.4%) missing valuesMissing
저장파일 명 has unique valuesUnique
다운로드 수 has 44 (22.3%) zerosZeros

Reproduction

Analysis started2023-12-12 01:17:23.715668
Analysis finished2023-12-12 01:17:28.358619
Duration4.64 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

제목
Text

Distinct196
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2023-12-12T10:17:28.633645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length42
Mean length19.071066
Min length3

Characters and Unicode

Total characters3757
Distinct characters464
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique195 ?
Unique (%)99.0%

Sample

1st row니제르 우라늄광산
2nd row알제리 팀가드
3rd row모리타니 싱게티
4th row차드 엔네디 고원
5th row지우개로 지워진듯... 아리랑위성이 촬영한 베이루트 폭발 전후
ValueCountFrequency (%)
천리안위성 15
 
1.9%
미국 11
 
1.4%
2b호 11
 
1.4%
우주에서 9
 
1.1%
촬영한 8
 
1.0%
발사 8
 
1.0%
누리호 8
 
1.0%
최초 8
 
1.0%
공개 8
 
1.0%
공항 7
 
0.9%
Other values (554) 711
88.4%
2023-12-12T10:17:29.255659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
618
 
16.4%
0 64
 
1.7%
공 64
 
1.7%
리 63
 
1.7%
2 62
 
1.7%
이 56
 
1.5%
성 53
 
1.4%
국 52
 
1.4%
위 50
 
1.3%
) 45
 
1.2%
Other values (454) 2630
70.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2522
67.1%
Space Separator 618
 
16.4%
Decimal Number 236
 
6.3%
Lowercase Letter 102
 
2.7%
Other Punctuation 89
 
2.4%
Uppercase Letter 85
 
2.3%
Close Punctuation 46
 
1.2%
Open Punctuation 45
 
1.2%
Connector Punctuation 11
 
0.3%
Dash Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
공 64
 
2.5%
리 63
 
2.5%
이 56
 
2.2%
성 53
 
2.1%
국 52
 
2.1%
위 50
 
2.0%
호 38
 
1.5%
항 38
 
1.5%
스 36
 
1.4%
아 36
 
1.4%
Other values (388) 2036
80.7%
Uppercase Letter
ValueCountFrequency (%)
B 13
15.3%
A 12
14.1%
P 11
12.9%
V 6
 
7.1%
O 6
 
7.1%
I 4
 
4.7%
N 3
 
3.5%
R 3
 
3.5%
H 3
 
3.5%
L 3
 
3.5%
Other values (12) 21
24.7%
Lowercase Letter
ValueCountFrequency (%)
a 13
12.7%
e 13
12.7%
k 11
10.8%
m 11
10.8%
t 8
 
7.8%
l 7
 
6.9%
r 6
 
5.9%
o 6
 
5.9%
y 4
 
3.9%
n 3
 
2.9%
Other values (11) 20
19.6%
Decimal Number
ValueCountFrequency (%)
0 64
27.1%
2 62
26.3%
1 36
15.3%
4 19
 
8.1%
3 19
 
8.1%
5 10
 
4.2%
9 9
 
3.8%
7 8
 
3.4%
6 5
 
2.1%
8 4
 
1.7%
Other Punctuation
ValueCountFrequency (%)
. 35
39.3%
! 28
31.5%
? 13
 
14.6%
, 8
 
9.0%
' 4
 
4.5%
@ 1
 
1.1%
Close Punctuation
ValueCountFrequency (%)
) 45
97.8%
] 1
 
2.2%
Open Punctuation
ValueCountFrequency (%)
( 44
97.8%
[ 1
 
2.2%
Space Separator
ValueCountFrequency (%)
618
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 11
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2522
67.1%
Common 1048
27.9%
Latin 187
 
5.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
공 64
 
2.5%
리 63
 
2.5%
이 56
 
2.2%
성 53
 
2.1%
국 52
 
2.1%
위 50
 
2.0%
호 38
 
1.5%
항 38
 
1.5%
스 36
 
1.4%
아 36
 
1.4%
Other values (388) 2036
80.7%
Latin
ValueCountFrequency (%)
B 13
 
7.0%
a 13
 
7.0%
e 13
 
7.0%
A 12
 
6.4%
k 11
 
5.9%
m 11
 
5.9%
P 11
 
5.9%
t 8
 
4.3%
l 7
 
3.7%
V 6
 
3.2%
Other values (33) 82
43.9%
Common
ValueCountFrequency (%)
618
59.0%
0 64
 
6.1%
2 62
 
5.9%
) 45
 
4.3%
( 44
 
4.2%
1 36
 
3.4%
. 35
 
3.3%
! 28
 
2.7%
4 19
 
1.8%
3 19
 
1.8%
Other values (13) 78
 
7.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2522
67.1%
ASCII 1235
32.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
618
50.0%
0 64
 
5.2%
2 62
 
5.0%
) 45
 
3.6%
( 44
 
3.6%
1 36
 
2.9%
. 35
 
2.8%
! 28
 
2.3%
4 19
 
1.5%
3 19
 
1.5%
Other values (56) 265
21.5%
Hangul
ValueCountFrequency (%)
공 64
 
2.5%
리 63
 
2.5%
이 56
 
2.2%
성 53
 
2.1%
국 52
 
2.1%
위 50
 
2.0%
호 38
 
1.5%
항 38
 
1.5%
스 36
 
1.4%
아 36
 
1.4%
Other values (388) 2036
80.7%

구분
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
PHO
145 
VDO
50 
TEC
 
2

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowPHO
2nd rowPHO
3rd rowPHO
4th rowPHO
5th rowVDO

Common Values

ValueCountFrequency (%)
PHO 145
73.6%
VDO 50
 
25.4%
TEC 2
 
1.0%

Length

2023-12-12T10:17:29.474117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:17:29.593406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
pho 145
73.6%
vdo 50
 
25.4%
tec 2
 
1.0%

공공누리
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
Y
145 
B
29 
N
23 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowY
2nd rowY
3rd rowY
4th rowY
5th rowB

Common Values

ValueCountFrequency (%)
Y 145
73.6%
B 29
 
14.7%
N 23
 
11.7%

Length

2023-12-12T10:17:29.714825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:17:29.848209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
y 145
73.6%
b 29
 
14.7%
n 23
 
11.7%

저장파일 명
Text

UNIQUE 

Distinct197
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2023-12-12T10:17:30.100054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length21
Mean length21
Min length21

Characters and Unicode

Total characters4137
Distinct characters18
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique197 ?
Unique (%)100.0%

Sample

1st row20200720112821267.jpg
2nd row20200720112203196.jpg
3rd row20200720112357293.jpg
4th row20200720112525615.jpg
5th row20200807090353689.png
ValueCountFrequency (%)
20200720112821267.jpg 1
 
0.5%
20200617144527146.jpg 1
 
0.5%
20200110105054137.jpg 1
 
0.5%
20200120103005314.jpg 1
 
0.5%
20200120103639205.jpg 1
 
0.5%
20200121091148144.jpg 1
 
0.5%
20200205092032304.jpg 1
 
0.5%
20200213095243616.png 1
 
0.5%
20200217082918482.jpg 1
 
0.5%
20200217083223170.jpg 1
 
0.5%
Other values (187) 187
94.9%
2023-12-12T10:17:30.520103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 898
21.7%
2 656
15.9%
1 494
11.9%
4 236
 
5.7%
3 230
 
5.6%
5 205
 
5.0%
. 197
 
4.8%
7 171
 
4.1%
g 168
 
4.1%
p 168
 
4.1%
Other values (8) 714
17.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3349
81.0%
Lowercase Letter 504
 
12.2%
Other Punctuation 197
 
4.8%
Uppercase Letter 87
 
2.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 898
26.8%
2 656
19.6%
1 494
14.8%
4 236
 
7.0%
3 230
 
6.9%
5 205
 
6.1%
7 171
 
5.1%
6 162
 
4.8%
9 152
 
4.5%
8 145
 
4.3%
Lowercase Letter
ValueCountFrequency (%)
g 168
33.3%
p 168
33.3%
j 128
25.4%
n 40
 
7.9%
Uppercase Letter
ValueCountFrequency (%)
J 29
33.3%
P 29
33.3%
G 29
33.3%
Other Punctuation
ValueCountFrequency (%)
. 197
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3546
85.7%
Latin 591
 
14.3%

Most frequent character per script

Common
ValueCountFrequency (%)
0 898
25.3%
2 656
18.5%
1 494
13.9%
4 236
 
6.7%
3 230
 
6.5%
5 205
 
5.8%
. 197
 
5.6%
7 171
 
4.8%
6 162
 
4.6%
9 152
 
4.3%
Latin
ValueCountFrequency (%)
g 168
28.4%
p 168
28.4%
j 128
21.7%
n 40
 
6.8%
J 29
 
4.9%
P 29
 
4.9%
G 29
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4137
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 898
21.7%
2 656
15.9%
1 494
11.9%
4 236
 
5.7%
3 230
 
5.6%
5 205
 
5.0%
. 197
 
4.8%
7 171
 
4.1%
g 168
 
4.1%
p 168
 
4.1%
Other values (8) 714
17.3%

일련번호
Real number (ℝ)

HIGH CORRELATION 

Distinct134
Distinct (%)68.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean70.862944
Minimum1
Maximum242
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-12T10:17:30.740045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q115
median69
Q3105
95-th percentile161.8
Maximum242
Range241
Interquartile range (IQR)90

Descriptive statistics

Standard deviation58.913604
Coefficient of variation (CV)0.83137393
Kurtosis0.94214751
Mean70.862944
Median Absolute Deviation (MAD)49
Skewness0.95695343
Sum13960
Variance3470.8128
MonotonicityNot monotonic
2023-12-12T10:17:30.917130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 6
 
3.0%
11 5
 
2.5%
12 5
 
2.5%
15 4
 
2.0%
7 4
 
2.0%
4 4
 
2.0%
10 4
 
2.0%
13 3
 
1.5%
3 3
 
1.5%
5 3
 
1.5%
Other values (124) 156
79.2%
ValueCountFrequency (%)
1 6
3.0%
2 2
 
1.0%
3 3
1.5%
4 4
2.0%
5 3
1.5%
6 2
 
1.0%
7 4
2.0%
8 3
1.5%
9 3
1.5%
10 4
2.0%
ValueCountFrequency (%)
242 1
0.5%
241 1
0.5%
240 1
0.5%
239 1
0.5%
238 1
0.5%
237 1
0.5%
236 1
0.5%
235 1
0.5%
234 1
0.5%
233 1
0.5%

가로 해상도
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct56
Distinct (%)38.6%
Missing52
Missing (%)26.4%
Infinite0
Infinite (%)0.0%
Mean2873.4
Minimum486
Maximum13745
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-12T10:17:31.129375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum486
5-th percentile1024
Q11024
median1024
Q34516
95-th percentile7581.6
Maximum13745
Range13259
Interquartile range (IQR)3492

Descriptive statistics

Standard deviation2819.3947
Coefficient of variation (CV)0.98120508
Kurtosis2.3895452
Mean2873.4
Median Absolute Deviation (MAD)63
Skewness1.6244567
Sum416643
Variance7948986.4
MonotonicityNot monotonic
2023-12-12T10:17:31.340866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1024 72
36.5%
6720 14
 
7.1%
5472 4
 
2.0%
3648 3
 
1.5%
11000 1
 
0.5%
9767 1
 
0.5%
960 1
 
0.5%
5576 1
 
0.5%
4929 1
 
0.5%
1412 1
 
0.5%
Other values (46) 46
23.4%
(Missing) 52
26.4%
ValueCountFrequency (%)
486 1
 
0.5%
548 1
 
0.5%
800 1
 
0.5%
831 1
 
0.5%
921 1
 
0.5%
960 1
 
0.5%
961 1
 
0.5%
1024 72
36.5%
1119 1
 
0.5%
1349 1
 
0.5%
ValueCountFrequency (%)
13745 1
 
0.5%
12821 1
 
0.5%
12612 1
 
0.5%
11000 1
 
0.5%
9767 1
 
0.5%
9237 1
 
0.5%
8486 1
 
0.5%
7797 1
 
0.5%
6720 14
7.1%
6699 1
 
0.5%

세로 해상도
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct56
Distinct (%)38.6%
Missing52
Missing (%)26.4%
Infinite0
Infinite (%)0.0%
Mean2521.2552
Minimum486
Maximum13745
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-12T10:17:31.552886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum486
5-th percentile1024
Q11024
median1024
Q33718
95-th percentile7340
Maximum13745
Range13259
Interquartile range (IQR)2694

Descriptive statistics

Standard deviation2495.7946
Coefficient of variation (CV)0.98990165
Kurtosis6.3808214
Mean2521.2552
Median Absolute Deviation (MAD)95
Skewness2.3459786
Sum365582
Variance6228990.9
MonotonicityNot monotonic
2023-12-12T10:17:31.728881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1024 72
36.5%
4480 14
 
7.1%
3648 4
 
2.0%
5472 3
 
1.5%
11000 1
 
0.5%
9767 1
 
0.5%
678 1
 
0.5%
3718 1
 
0.5%
4929 1
 
0.5%
1412 1
 
0.5%
Other values (46) 46
23.4%
(Missing) 52
26.4%
ValueCountFrequency (%)
486 1
 
0.5%
548 1
 
0.5%
678 1
 
0.5%
800 1
 
0.5%
831 1
 
0.5%
919 1
 
0.5%
921 1
 
0.5%
1024 72
36.5%
1119 1
 
0.5%
1349 1
 
0.5%
ValueCountFrequency (%)
13745 1
 
0.5%
12821 1
 
0.5%
12612 1
 
0.5%
11000 1
 
0.5%
9767 1
 
0.5%
9237 1
 
0.5%
8486 1
 
0.5%
7797 1
 
0.5%
5512 1
 
0.5%
5472 3
1.5%

공개여부
Boolean

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size329.0 B
True
197 
ValueCountFrequency (%)
True 197
100.0%
2023-12-12T10:17:31.879600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

조회 수
Real number (ℝ)

HIGH CORRELATION 

Distinct187
Distinct (%)94.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2521.6091
Minimum250
Maximum9892
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-12T10:17:32.024104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum250
5-th percentile415.4
Q11223
median2414
Q33239
95-th percentile5463.4
Maximum9892
Range9642
Interquartile range (IQR)2016

Descriptive statistics

Standard deviation1582.3018
Coefficient of variation (CV)0.62749684
Kurtosis1.671842
Mean2521.6091
Median Absolute Deviation (MAD)1060
Skewness1.0114494
Sum496757
Variance2503678.9
MonotonicityNot monotonic
2023-12-12T10:17:32.235873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1169 2
 
1.0%
2270 2
 
1.0%
5306 2
 
1.0%
1770 2
 
1.0%
2419 2
 
1.0%
1805 2
 
1.0%
369 2
 
1.0%
1180 2
 
1.0%
533 2
 
1.0%
2613 2
 
1.0%
Other values (177) 177
89.8%
ValueCountFrequency (%)
250 1
0.5%
252 1
0.5%
269 1
0.5%
277 1
0.5%
325 1
0.5%
338 1
0.5%
361 1
0.5%
369 2
1.0%
389 1
0.5%
422 1
0.5%
ValueCountFrequency (%)
9892 1
0.5%
6399 1
0.5%
6245 1
0.5%
6052 1
0.5%
6035 1
0.5%
5739 1
0.5%
5723 1
0.5%
5668 1
0.5%
5629 1
0.5%
5529 1
0.5%

다운로드 수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct85
Distinct (%)43.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean75.84264
Minimum0
Maximum308
Zeros44
Zeros (%)22.3%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-12T10:17:32.426133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median80
Q3100
95-th percentile189.4
Maximum308
Range308
Interquartile range (IQR)99

Descriptive statistics

Standard deviation60.891344
Coefficient of variation (CV)0.80286425
Kurtosis1.6675146
Mean75.84264
Median Absolute Deviation (MAD)26
Skewness0.86915998
Sum14941
Variance3707.7557
MonotonicityNot monotonic
2023-12-12T10:17:32.617560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 44
 
22.3%
1 8
 
4.1%
71 6
 
3.0%
90 5
 
2.5%
83 5
 
2.5%
98 4
 
2.0%
97 4
 
2.0%
84 4
 
2.0%
79 4
 
2.0%
72 3
 
1.5%
Other values (75) 110
55.8%
ValueCountFrequency (%)
0 44
22.3%
1 8
 
4.1%
40 1
 
0.5%
42 1
 
0.5%
45 1
 
0.5%
47 1
 
0.5%
50 1
 
0.5%
53 1
 
0.5%
54 1
 
0.5%
58 3
 
1.5%
ValueCountFrequency (%)
308 1
0.5%
294 1
0.5%
274 1
0.5%
262 1
0.5%
230 1
0.5%
228 1
0.5%
198 1
0.5%
197 1
0.5%
195 1
0.5%
191 1
0.5%

등록일자
Date

Distinct59
Distinct (%)29.9%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
Minimum2020-01-07 00:00:00
Maximum2020-12-29 00:00:00
2023-12-12T10:17:32.832052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:17:33.025353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

수정일자
Date

Distinct6
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
Minimum2021-09-09 00:00:00
Maximum2021-09-14 00:00:00
2023-12-12T10:17:33.177074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:17:33.287556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)

메인표기여부
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
141 
Y
56 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row
2nd row
3rd row
4th row
5th rowY

Common Values

ValueCountFrequency (%)
141
71.6%
Y 56
 
28.4%

Length

2023-12-12T10:17:33.425965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:17:33.560669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
y 56
100.0%

Interactions

2023-12-12T10:17:26.826338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:17:24.384032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:17:24.957307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:17:25.591956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:17:26.226056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:17:26.942014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:17:24.491504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:17:25.077280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:17:25.702959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:17:26.332935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:17:27.064398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:17:24.601348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:17:25.200542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:17:25.834307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:17:26.440040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:17:27.182001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:17:24.713819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:17:25.345664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:17:25.974571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:17:26.578949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:17:27.290832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:17:24.846385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:17:25.485773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:17:26.121704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:17:26.694057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T10:17:33.658715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분공공누리일련번호가로 해상도세로 해상도조회 수다운로드 수등록일자수정일자메인표기여부
구분1.0000.9480.557NaNNaN0.7590.7990.9930.6560.557
공공누리0.9481.0000.574NaNNaN0.7900.7990.9770.6560.553
일련번호0.5570.5741.0000.6050.5170.6030.5630.8220.3870.548
가로 해상도NaNNaN0.6051.0000.9700.3010.5550.7670.0000.000
세로 해상도NaNNaN0.5170.9701.0000.4710.4070.7420.0000.070
조회 수0.7590.7900.6030.3010.4711.0000.6260.9640.4410.943
다운로드 수0.7990.7990.5630.5550.4070.6261.0000.6510.4260.981
등록일자0.9930.9770.8220.7670.7420.9640.6511.0000.0000.900
수정일자0.6560.6560.3870.0000.0000.4410.4260.0001.0000.734
메인표기여부0.5570.5530.5480.0000.0700.9430.9810.9000.7341.000
2023-12-12T10:17:33.805166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분공공누리메인표기여부
구분1.0000.7210.824
공공누리0.7211.0000.819
메인표기여부0.8240.8191.000
2023-12-12T10:17:33.925073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
일련번호가로 해상도세로 해상도조회 수다운로드 수구분공공누리메인표기여부
일련번호1.000-0.509-0.470-0.4200.3340.4420.4590.581
가로 해상도-0.5091.0000.982-0.1190.2291.0001.0000.000
세로 해상도-0.4700.9821.000-0.1040.2211.0001.0000.053
조회 수-0.420-0.119-0.1041.000-0.4810.6570.7000.780
다운로드 수0.3340.2290.221-0.4811.0000.6770.6770.863
구분0.4421.0001.0000.6570.6771.0000.7210.824
공공누리0.4591.0001.0000.7000.6770.7211.0000.819
메인표기여부0.5810.0000.0530.7800.8630.8240.8191.000

Missing values

2023-12-12T10:17:27.475712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T10:17:28.115905image/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.
2023-12-12T10:17:28.269789image/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

제목구분공공누리저장파일 명일련번호가로 해상도세로 해상도공개여부조회 수다운로드 수등록일자수정일자메인표기여부
0니제르 우라늄광산PHOY20200720112821267.jpg13210241024Y18011072020-07-202021-09-14
1알제리 팀가드PHOY20200720112203196.jpg12910241024Y1770892020-07-202021-09-13
2모리타니 싱게티PHOY20200720112357293.jpg13010241024Y1748772020-07-202021-09-13
3차드 엔네디 고원PHOY20200720112525615.jpg13110241024Y1760722020-07-202021-09-13
4지우개로 지워진듯... 아리랑위성이 촬영한 베이루트 폭발 전후VDOB20200807090353689.png12<NA><NA>Y388702020-08-072021-09-14Y
5니제르 사막마을PHOY20200720112853314.jpg13310241024Y1887902020-07-202021-09-13
6호주 툰디나 분화구PHOY20200720112942711.jpg23710241024Y18931162020-07-202021-09-13
7우리 인공위성이 우주에서 촬영한 태풍 장미 이동경로VDOB20200811083033585.png13<NA><NA>Y412002020-08-112021-09-14Y
8수직 이착륙 무인기의 국가종합안전망 구축에의 활용TECN20200724142123471.png12<NA><NA>Y366802020-07-242021-09-14
9붕괴 위험? 아리랑위성이 우주에서 포착한 싼샤댐 대규모 방류 현장 최초 공개!VDOB20200727105222242.png11<NA><NA>Y407602020-07-272021-09-14Y
제목구분공공누리저장파일 명일련번호가로 해상도세로 해상도공개여부조회 수다운로드 수등록일자수정일자메인표기여부
187미래형 유무인 겸용 개인항공기(OPPAV) 풍동시험(5)PHOY20201223164743167.JPG2266993769Y4731502020-12-232021-09-14
188재난치안용무인기 인명구조 시험PHOY20201223174819563.JPG2667204480Y533652020-12-232021-09-14
189차세대중형위성 분리충격시험PHOY20201223165304332.JPG1454723648Y635842020-12-232021-09-14
190재난치안용무인기 고령터널 시험PHOY20201223165708522.jpg2350933395Y422542020-12-232021-09-14
191누리호 1단 인증모델PHOY20201223170436908.JPG6854723648Y6802742020-12-232021-09-14
192신개념 계류비행선(Flying tower)PHOY20201223171724870.JPG2467204480Y4311142020-12-232021-09-13
193소형민수헬기 축소로터 풍동시험PHOY20201223171815251.JPG2544642976Y476672020-12-232021-09-13
194한국형 달궤도선 BLT 궤도 상상도PHOY20201223173525739.png731502362Y14101982020-12-232021-09-14Y
195천리안위성 2A호 전구영상PHOY20201223182339526.png11100011000Y361592020-12-232021-09-13
196하늘에서 모든 사람, 자동차 등을 찾아낸다! 세계 1위 드론 영상 객체 탐지 기술!VDOB20201229144014957.png1<NA><NA>Y258102020-12-292021-09-14Y