Overview

Dataset statistics

Number of variables6
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory546.9 KiB
Average record size in memory56.0 B

Variable types

Text2
DateTime1
Categorical3

Dataset

Description경상남도 기상종합정보시스템 위성영상 데이터입니다.
Author경상남도
URLhttps://www.data.go.kr/data/15049561/fileData.do

Alerts

영상구분코드(SATIMGCODE) is highly overall correlated with 위성구분코드(SATCODE) and 1 other fieldsHigh correlation
지역구분코드(SATRGNCODE) is highly overall correlated with 위성구분코드(SATCODE) and 1 other fieldsHigh correlation
위성구분코드(SATCODE) is highly overall correlated with 영상구분코드(SATIMGCODE) and 1 other fieldsHigh correlation
위성구분코드(SATCODE) is highly imbalanced (76.7%)Imbalance
영상구분코드(SATIMGCODE) is highly imbalanced (76.7%)Imbalance
지역구분코드(SATRGNCODE) is highly imbalanced (76.7%)Imbalance
이미지경로(IMGPATH) has unique valuesUnique

Reproduction

Analysis started2023-12-12 23:11:35.348404
Analysis finished2023-12-12 23:11:36.109521
Duration0.76 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

이미지경로(IMGPATH)
Text

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T08:11:36.353523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length69
Median length68
Mean length68.0379
Min length68

Characters and Unicode

Total characters680379
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 row/GNWSIMG/SATIMG_THN/20190301/coms_mi_le1b_ir1_a_201902281700.thn.png
2nd row/GNWSIMG/SATIMG_THN/20190514/coms_mi_le1b_ir1_a_201905140800.thn.png
3rd row/GNWSIMG/SATIMG_THN/20190522/coms_mi_le1b_ir1_a_201905211515.thn.png
4th row/GNWSIMG/SATIMG_THN/20190917/coms_mi_le1b_ir1_a_201909162000.thn.png
5th row/GNWSIMG/SATIMG_THN/20190801/coms_mi_le1b_ir1_a_201908010815.thn.png
ValueCountFrequency (%)
gnwsimg/satimg_thn/20190301/coms_mi_le1b_ir1_a_201902281700.thn.png 1
 
< 0.1%
gnwsimg/satimg_thn/20190901/coms_mi_le1b_ir1_a_201909010930.thn.png 1
 
< 0.1%
gnwsimg/satimg_thn/20190611/coms_mi_le1b_ir1_a_201906111100.thn.png 1
 
< 0.1%
gnwsimg/satimg_thn/20190408/coms_mi_le1b_ir1_a_201904071845.thn.png 1
 
< 0.1%
gnwsimg/satimg_thn/20190309/coms_mi_le1b_ir1_a_201903082315.thn.png 1
 
< 0.1%
gnwsimg/satimg_thn/20190320/coms_mi_le1b_ir1_a_201903200500.thn.png 1
 
< 0.1%
gnwsimg/satimg_thn/20190504/coms_mi_le1b_ir1_a_201905031545.thn.png 1
 
< 0.1%
gnwsimg/satimg_mtsat/20190121/metop_ascat_ssw_zzz_e_201901210000.png 1
 
< 0.1%
gnwsimg/satimg_thn/20190601/coms_mi_le1b_ir1_a_201906010345.thn.png 1
 
< 0.1%
gnwsimg/satimg_mtsat/20190914/metop_ascat_ssw_zzz_e_201909140000.png 1
 
< 0.1%
Other values (9990) 9990
99.9%
2023-12-13T08:11:36.751492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 60837
 
8.9%
_ 60000
 
8.8%
1 57138
 
8.4%
/ 40000
 
5.9%
2 32917
 
4.8%
G 30000
 
4.4%
9 24572
 
3.6%
S 20379
 
3.0%
M 20379
 
3.0%
T 20379
 
3.0%
Other values (29) 313778
46.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 219242
32.2%
Lowercase Letter 180758
26.6%
Uppercase Letter 160758
23.6%
Connector Punctuation 60000
 
8.8%
Other Punctuation 59621
 
8.8%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
m 19621
 
10.9%
n 19621
 
10.9%
i 19242
 
10.6%
s 10758
 
6.0%
p 10379
 
5.7%
e 10379
 
5.7%
t 10379
 
5.7%
a 10379
 
5.7%
c 10000
 
5.5%
g 10000
 
5.5%
Other values (7) 50000
27.7%
Decimal Number
ValueCountFrequency (%)
0 60837
27.7%
1 57138
26.1%
2 32917
15.0%
9 24572
11.2%
5 10561
 
4.8%
3 8642
 
3.9%
4 7927
 
3.6%
7 5605
 
2.6%
8 5591
 
2.6%
6 5452
 
2.5%
Uppercase Letter
ValueCountFrequency (%)
G 30000
18.7%
S 20379
12.7%
M 20379
12.7%
T 20379
12.7%
I 20000
12.4%
N 19621
12.2%
A 10379
 
6.5%
W 10000
 
6.2%
H 9621
 
6.0%
Other Punctuation
ValueCountFrequency (%)
/ 40000
67.1%
. 19621
32.9%
Connector Punctuation
ValueCountFrequency (%)
_ 60000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 341516
50.2%
Common 338863
49.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
G 30000
 
8.8%
S 20379
 
6.0%
M 20379
 
6.0%
T 20379
 
6.0%
I 20000
 
5.9%
m 19621
 
5.7%
N 19621
 
5.7%
n 19621
 
5.7%
i 19242
 
5.6%
s 10758
 
3.2%
Other values (16) 141516
41.4%
Common
ValueCountFrequency (%)
0 60837
18.0%
_ 60000
17.7%
1 57138
16.9%
/ 40000
11.8%
2 32917
9.7%
9 24572
7.3%
. 19621
 
5.8%
5 10561
 
3.1%
3 8642
 
2.6%
4 7927
 
2.3%
Other values (3) 16648
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 680379
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 60837
 
8.9%
_ 60000
 
8.8%
1 57138
 
8.4%
/ 40000
 
5.9%
2 32917
 
4.8%
G 30000
 
4.4%
9 24572
 
3.6%
S 20379
 
3.0%
M 20379
 
3.0%
T 20379
 
3.0%
Other values (29) 313778
46.1%

계측시간(COLTM)
Date

Distinct9913
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2019-01-01 00:07:00
Maximum2019-09-20 13:21:00
2023-12-13T08:11:36.892961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:11:37.019404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

위성구분코드(SATCODE)
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
C
9621 
M
 
379

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowC
2nd rowC
3rd rowC
4th rowC
5th rowC

Common Values

ValueCountFrequency (%)
C 9621
96.2%
M 379
 
3.8%

Length

2023-12-13T08:11:37.130063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:11:37.226828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
c 9621
96.2%
m 379
 
3.8%

영상구분코드(SATIMGCODE)
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
ir1
9621 
IR
 
379

Length

Max length3
Median length3
Mean length2.9621
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowir1
2nd rowir1
3rd rowir1
4th rowir1
5th rowir1

Common Values

ValueCountFrequency (%)
ir1 9621
96.2%
IR 379
 
3.8%

Length

2023-12-13T08:11:37.329052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:11:37.415784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
ir1 9621
96.2%
ir 379
 
3.8%

지역구분코드(SATRGNCODE)
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
k
9621 
L
 
379

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowk
2nd rowk
3rd rowk
4th rowk
5th rowk

Common Values

ValueCountFrequency (%)
k 9621
96.2%
L 379
 
3.8%

Length

2023-12-13T08:11:37.509103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:11:37.817973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
k 9621
96.2%
l 379
 
3.8%

파일유효성검사(VALIDCHKNAME)
Text

Distinct9926
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T08:11:38.020446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length39
Mean length38.9621
Min length38

Characters and Unicode

Total characters389621
Distinct characters29
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

Unique9853 ?
Unique (%)98.5%

Sample

1st rowcoms_mi_le1b_ir1_a_201902281700.thn.png
2nd rowcoms_mi_le1b_ir1_a_201905140800.thn.png
3rd rowcoms_mi_le1b_ir1_a_201905211515.thn.png
4th rowcoms_mi_le1b_ir1_a_201909162000.thn.png
5th rowcoms_mi_le1b_ir1_a_201908010815.thn.png
ValueCountFrequency (%)
metop_ascat_ssw_zzz_e_201907301200.png 3
 
< 0.1%
metop_ascat_ssw_zzz_e_201908071200.png 2
 
< 0.1%
metop_ascat_ssw_zzz_e_201903181200.png 2
 
< 0.1%
metop_ascat_ssw_zzz_e_201902231200.png 2
 
< 0.1%
metop_ascat_ssw_zzz_e_201906291200.png 2
 
< 0.1%
metop_ascat_ssw_zzz_e_201909011200.png 2
 
< 0.1%
metop_ascat_ssw_zzz_e_201907131200.png 2
 
< 0.1%
metop_ascat_ssw_zzz_e_201901061200.png 2
 
< 0.1%
metop_ascat_ssw_zzz_e_201905241200.png 2
 
< 0.1%
metop_ascat_ssw_zzz_e_201909041200.png 2
 
< 0.1%
Other values (9916) 9979
99.8%
2023-12-13T08:11:38.371362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
_ 50000
 
12.8%
1 42345
 
10.9%
0 37012
 
9.5%
m 19621
 
5.0%
n 19621
 
5.0%
. 19621
 
5.0%
i 19242
 
4.9%
2 17936
 
4.6%
9 12739
 
3.3%
s 10758
 
2.8%
Other values (19) 140726
36.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 180758
46.4%
Decimal Number 139242
35.7%
Connector Punctuation 50000
 
12.8%
Other Punctuation 19621
 
5.0%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
m 19621
 
10.9%
n 19621
 
10.9%
i 19242
 
10.6%
s 10758
 
6.0%
p 10379
 
5.7%
t 10379
 
5.7%
a 10379
 
5.7%
e 10379
 
5.7%
o 10000
 
5.5%
g 10000
 
5.5%
Other values (7) 50000
27.7%
Decimal Number
ValueCountFrequency (%)
1 42345
30.4%
0 37012
26.6%
2 17936
12.9%
9 12739
 
9.1%
5 8302
 
6.0%
3 5797
 
4.2%
4 5584
 
4.0%
7 3202
 
2.3%
8 3186
 
2.3%
6 3139
 
2.3%
Connector Punctuation
ValueCountFrequency (%)
_ 50000
100.0%
Other Punctuation
ValueCountFrequency (%)
. 19621
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 208863
53.6%
Latin 180758
46.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
m 19621
 
10.9%
n 19621
 
10.9%
i 19242
 
10.6%
s 10758
 
6.0%
p 10379
 
5.7%
t 10379
 
5.7%
a 10379
 
5.7%
e 10379
 
5.7%
o 10000
 
5.5%
g 10000
 
5.5%
Other values (7) 50000
27.7%
Common
ValueCountFrequency (%)
_ 50000
23.9%
1 42345
20.3%
0 37012
17.7%
. 19621
 
9.4%
2 17936
 
8.6%
9 12739
 
6.1%
5 8302
 
4.0%
3 5797
 
2.8%
4 5584
 
2.7%
7 3202
 
1.5%
Other values (2) 6325
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 389621
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
_ 50000
 
12.8%
1 42345
 
10.9%
0 37012
 
9.5%
m 19621
 
5.0%
n 19621
 
5.0%
. 19621
 
5.0%
i 19242
 
4.9%
2 17936
 
4.6%
9 12739
 
3.3%
s 10758
 
2.8%
Other values (19) 140726
36.1%

Correlations

2023-12-13T08:11:38.471967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위성구분코드(SATCODE)영상구분코드(SATIMGCODE)지역구분코드(SATRGNCODE)
위성구분코드(SATCODE)1.0001.0001.000
영상구분코드(SATIMGCODE)1.0001.0001.000
지역구분코드(SATRGNCODE)1.0001.0001.000
2023-12-13T08:11:38.564589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
영상구분코드(SATIMGCODE)지역구분코드(SATRGNCODE)위성구분코드(SATCODE)
영상구분코드(SATIMGCODE)1.0000.9990.999
지역구분코드(SATRGNCODE)0.9991.0000.999
위성구분코드(SATCODE)0.9990.9991.000
2023-12-13T08:11:38.646365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위성구분코드(SATCODE)영상구분코드(SATIMGCODE)지역구분코드(SATRGNCODE)
위성구분코드(SATCODE)1.0000.9990.999
영상구분코드(SATIMGCODE)0.9991.0000.999
지역구분코드(SATRGNCODE)0.9990.9991.000

Missing values

2023-12-13T08:11:35.911391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T08:11:36.047784image/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

이미지경로(IMGPATH)계측시간(COLTM)위성구분코드(SATCODE)영상구분코드(SATIMGCODE)지역구분코드(SATRGNCODE)파일유효성검사(VALIDCHKNAME)
1894/GNWSIMG/SATIMG_THN/20190301/coms_mi_le1b_ir1_a_201902281700.thn.png2019-03-01 02:29Cir1kcoms_mi_le1b_ir1_a_201902281700.thn.png
8171/GNWSIMG/SATIMG_THN/20190514/coms_mi_le1b_ir1_a_201905140800.thn.png2019-05-14 17:34Cir1kcoms_mi_le1b_ir1_a_201905140800.thn.png
8809/GNWSIMG/SATIMG_THN/20190522/coms_mi_le1b_ir1_a_201905211515.thn.png2019-05-22 00:53Cir1kcoms_mi_le1b_ir1_a_201905211515.thn.png
19040/GNWSIMG/SATIMG_THN/20190917/coms_mi_le1b_ir1_a_201909162000.thn.png2019-09-17 05:26Cir1kcoms_mi_le1b_ir1_a_201909162000.thn.png
14998/GNWSIMG/SATIMG_THN/20190801/coms_mi_le1b_ir1_a_201908010815.thn.png2019-08-01 17:52Cir1kcoms_mi_le1b_ir1_a_201908010815.thn.png
11926/GNWSIMG/SATIMG_THN/20190627/coms_mi_le1b_ir1_a_201906262145.thn.png2019-06-27 07:06Cir1kcoms_mi_le1b_ir1_a_201906262145.thn.png
10504/GNWSIMG/SATIMG_THN/20190610/coms_mi_le1b_ir1_a_201906100430.thn.png2019-06-10 14:10Cir1kcoms_mi_le1b_ir1_a_201906100430.thn.png
11014/GNWSIMG/SATIMG_THN/20190616/coms_mi_le1b_ir1_a_201906160630.thn.png2019-06-16 15:52Cir1kcoms_mi_le1b_ir1_a_201906160630.thn.png
14773/GNWSIMG/SATIMG_THN/20190730/coms_mi_le1b_ir1_a_201907291600.thn.png2019-07-30 01:24Cir1kcoms_mi_le1b_ir1_a_201907291600.thn.png
3411/GNWSIMG/SATIMG_THN/20190318/coms_mi_le1b_ir1_a_201903180430.thn.png2019-03-18 14:03Cir1kcoms_mi_le1b_ir1_a_201903180430.thn.png
이미지경로(IMGPATH)계측시간(COLTM)위성구분코드(SATCODE)영상구분코드(SATIMGCODE)지역구분코드(SATRGNCODE)파일유효성검사(VALIDCHKNAME)
2687/GNWSIMG/SATIMG_THN/20190310/coms_mi_le1b_ir1_a_201903092115.thn.png2019-03-10 06:48Cir1kcoms_mi_le1b_ir1_a_201903092115.thn.png
5374/GNWSIMG/SATIMG_MTSAT/20190410/metop_ascat_ssw_zzz_e_201904091200.png2019-04-10 00:02MIRLmetop_ascat_ssw_zzz_e_201904091200.png
16924/GNWSIMG/SATIMG_THN/20190823/coms_mi_le1b_ir1_a_201908231145.thn.png2019-08-23 21:18Cir1kcoms_mi_le1b_ir1_a_201908231145.thn.png
18239/GNWSIMG/SATIMG_MTSAT/20190908/metop_ascat_ssw_zzz_e_201909071200.png2019-09-08 00:05MIRLmetop_ascat_ssw_zzz_e_201909071200.png
16353/GNWSIMG/SATIMG_THN/20190817/coms_mi_le1b_ir1_a_201908162200.thn.png2019-08-17 07:23Cir1kcoms_mi_le1b_ir1_a_201908162200.thn.png
4865/GNWSIMG/SATIMG_THN/20190404/coms_mi_le1b_ir1_a_201904031930.thn.png2019-04-04 04:54Cir1kcoms_mi_le1b_ir1_a_201904031930.thn.png
12165/GNWSIMG/SATIMG_THN/20190630/coms_mi_le1b_ir1_a_201906291500.thn.png2019-06-30 00:29Cir1kcoms_mi_le1b_ir1_a_201906291500.thn.png
14614/GNWSIMG/SATIMG_THN/20190728/coms_mi_le1b_ir1_a_201907272015.thn.png2019-07-28 05:52Cir1kcoms_mi_le1b_ir1_a_201907272015.thn.png
10689/GNWSIMG/SATIMG_THN/20190612/coms_mi_le1b_ir1_a_201906121000.thn.png2019-06-12 19:21Cir1kcoms_mi_le1b_ir1_a_201906121000.thn.png
12990/GNWSIMG/SATIMG_THN/20190709/coms_mi_le1b_ir1_a_201907090100.thn.png2019-07-09 10:29Cir1kcoms_mi_le1b_ir1_a_201907090100.thn.png