Overview

Dataset statistics

Number of variables11
Number of observations100
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.8 KiB
Average record size in memory90.3 B

Variable types

Numeric1
Text3
Categorical6
DateTime1

Dataset

Description지능형 해상교통정보시스템(바다내비)에서 해양안전정보 서비스(SV52)를 위한 기상 서비스 캐시 파일에 대한 데이터 테이블임
Author해양수산부
URLhttps://www.data.go.kr/data/15121347/fileData.do

Alerts

프로덕트스펙 has constant value ""Constant
좌표계 has constant value ""Constant
기상예보일자 is highly imbalanced (91.9%)Imbalance
기상예보 시작시간 is highly imbalanced (91.9%)Imbalance
기상예보 종료시간 is highly imbalanced (91.9%)Imbalance
기상예보항목명 is highly imbalanced (71.4%)Imbalance
파일번호 has unique valuesUnique
파일명 has unique valuesUnique
생성날짜 has unique valuesUnique

Reproduction

Analysis started2023-12-12 16:31:49.248018
Analysis finished2023-12-12 16:31:49.983599
Duration0.74 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

파일번호
Real number (ℝ)

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50.5
Minimum1
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-13T01:31:50.087267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.95
Q125.75
median50.5
Q375.25
95-th percentile95.05
Maximum100
Range99
Interquartile range (IQR)49.5

Descriptive statistics

Standard deviation29.011492
Coefficient of variation (CV)0.57448499
Kurtosis-1.2
Mean50.5
Median Absolute Deviation (MAD)25
Skewness0
Sum5050
Variance841.66667
MonotonicityStrictly increasing
2023-12-13T01:31:50.253616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.0%
65 1
 
1.0%
75 1
 
1.0%
74 1
 
1.0%
73 1
 
1.0%
72 1
 
1.0%
71 1
 
1.0%
70 1
 
1.0%
69 1
 
1.0%
68 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
1 1
1.0%
2 1
1.0%
3 1
1.0%
4 1
1.0%
5 1
1.0%
6 1
1.0%
7 1
1.0%
8 1
1.0%
9 1
1.0%
10 1
1.0%
ValueCountFrequency (%)
100 1
1.0%
99 1
1.0%
98 1
1.0%
97 1
1.0%
96 1
1.0%
95 1
1.0%
94 1
1.0%
93 1
1.0%
92 1
1.0%
91 1
1.0%

구역번호
Text

Distinct99
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-13T01:31:50.556645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length6
Min length6

Characters and Unicode

Total characters600
Distinct characters11
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique98 ?
Unique (%)98.0%

Sample

1st rowL00001
2nd rowL00002
3rd rowL00003
4th rowL00004
5th rowL00005
ValueCountFrequency (%)
l00001 2
 
2.0%
l00055 1
 
1.0%
l00079 1
 
1.0%
l00078 1
 
1.0%
l00077 1
 
1.0%
l00076 1
 
1.0%
l00075 1
 
1.0%
l00074 1
 
1.0%
l00073 1
 
1.0%
l00071 1
 
1.0%
Other values (89) 89
89.0%
2023-12-13T01:31:51.057060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 319
53.2%
L 100
 
16.7%
1 29
 
4.8%
5 21
 
3.5%
3 20
 
3.3%
7 20
 
3.3%
9 19
 
3.2%
2 18
 
3.0%
8 18
 
3.0%
4 18
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 500
83.3%
Uppercase Letter 100
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 319
63.8%
1 29
 
5.8%
5 21
 
4.2%
3 20
 
4.0%
7 20
 
4.0%
9 19
 
3.8%
2 18
 
3.6%
8 18
 
3.6%
4 18
 
3.6%
6 18
 
3.6%
Uppercase Letter
ValueCountFrequency (%)
L 100
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 500
83.3%
Latin 100
 
16.7%

Most frequent character per script

Common
ValueCountFrequency (%)
0 319
63.8%
1 29
 
5.8%
5 21
 
4.2%
3 20
 
4.0%
7 20
 
4.0%
9 19
 
3.8%
2 18
 
3.6%
8 18
 
3.6%
4 18
 
3.6%
6 18
 
3.6%
Latin
ValueCountFrequency (%)
L 100
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 600
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 319
53.2%
L 100
 
16.7%
1 29
 
4.8%
5 21
 
3.5%
3 20
 
3.3%
7 20
 
3.3%
9 19
 
3.2%
2 18
 
3.0%
8 18
 
3.0%
4 18
 
3.0%

기상예보일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2019-08-01 6:00
99 
2020-08-10 19:00
 
1

Length

Max length16
Median length15
Mean length15.01
Min length15

Unique

Unique1 ?
Unique (%)1.0%

Sample

1st row2019-08-01 6:00
2nd row2019-08-01 6:00
3rd row2019-08-01 6:00
4th row2019-08-01 6:00
5th row2019-08-01 6:00

Common Values

ValueCountFrequency (%)
2019-08-01 6:00 99
99.0%
2020-08-10 19:00 1
 
1.0%

Length

2023-12-13T01:31:51.229771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:31:51.346240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2019-08-01 99
49.5%
6:00 99
49.5%
2020-08-10 1
 
0.5%
19:00 1
 
0.5%

파일명
Text

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-13T01:31:51.559347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length30
Mean length30
Min length30

Characters and Unicode

Total characters3000
Distinct characters18
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

Unique100 ?
Unique (%)100.0%

Sample

1st row2019080106_s412_area_L00001.h5
2nd row2019080106_s412_area_L00002.h5
3rd row2019080106_s412_area_L00003.h5
4th row2019080106_s412_area_L00004.h5
5th row2019080106_s412_area_L00005.h5
ValueCountFrequency (%)
2019080106_s412_area_l00001.h5 1
 
1.0%
2019080106_s412_area_l00068.h5 1
 
1.0%
2019080106_s412_area_l00080.h5 1
 
1.0%
2019080106_s412_area_l00079.h5 1
 
1.0%
2019080106_s412_area_l00078.h5 1
 
1.0%
2019080106_s412_area_l00077.h5 1
 
1.0%
2019080106_s412_area_l00076.h5 1
 
1.0%
2019080106_s412_area_l00075.h5 1
 
1.0%
2019080106_s412_area_l00074.h5 1
 
1.0%
2019080106_s412_area_l00073.h5 1
 
1.0%
Other values (90) 90
90.0%
2023-12-13T01:31:51.944686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 719
24.0%
1 329
11.0%
_ 300
10.0%
2 219
 
7.3%
a 200
 
6.7%
5 121
 
4.0%
9 119
 
4.0%
8 118
 
3.9%
4 118
 
3.9%
6 117
 
3.9%
Other values (8) 640
21.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1900
63.3%
Lowercase Letter 600
 
20.0%
Connector Punctuation 300
 
10.0%
Uppercase Letter 100
 
3.3%
Other Punctuation 100
 
3.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 719
37.8%
1 329
17.3%
2 219
 
11.5%
5 121
 
6.4%
9 119
 
6.3%
8 118
 
6.2%
4 118
 
6.2%
6 117
 
6.2%
3 20
 
1.1%
7 20
 
1.1%
Lowercase Letter
ValueCountFrequency (%)
a 200
33.3%
s 100
16.7%
r 100
16.7%
e 100
16.7%
h 100
16.7%
Connector Punctuation
ValueCountFrequency (%)
_ 300
100.0%
Uppercase Letter
ValueCountFrequency (%)
L 100
100.0%
Other Punctuation
ValueCountFrequency (%)
. 100
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2300
76.7%
Latin 700
 
23.3%

Most frequent character per script

Common
ValueCountFrequency (%)
0 719
31.3%
1 329
14.3%
_ 300
13.0%
2 219
 
9.5%
5 121
 
5.3%
9 119
 
5.2%
8 118
 
5.1%
4 118
 
5.1%
6 117
 
5.1%
. 100
 
4.3%
Other values (2) 40
 
1.7%
Latin
ValueCountFrequency (%)
a 200
28.6%
s 100
14.3%
r 100
14.3%
e 100
14.3%
L 100
14.3%
h 100
14.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 719
24.0%
1 329
11.0%
_ 300
10.0%
2 219
 
7.3%
a 200
 
6.7%
5 121
 
4.0%
9 119
 
4.0%
8 118
 
3.9%
4 118
 
3.9%
6 117
 
3.9%
Other values (8) 640
21.3%

파일경로
Text

Distinct99
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-13T01:31:52.213275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length104
Median length104
Mean length104
Min length104

Characters and Unicode

Total characters10400
Distinct characters32
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

Unique98 ?
Unique (%)98.0%

Sample

1st rowhttp://10.7.80.100:8080/internal.file.distribute/download/permanent/e096eabb-f9c8-4ff8-a76b-2f3ef690b716
2nd rowhttp://10.7.80.100:8080/internal.file.distribute/download/permanent/df70c111-5a9c-4353-835c-23ae95a892b0
3rd rowhttp://10.7.80.100:8080/internal.file.distribute/download/permanent/457ebe36-170c-42c9-9d56-ae8cf76f02fa
4th rowhttp://10.7.80.100:8080/internal.file.distribute/download/permanent/bf0375f7-aa5a-4b07-bc07-a0e14fec2654
5th rowhttp://10.7.80.100:8080/internal.file.distribute/download/permanent/91eeb17d-3d23-4e1b-a2e6-bd0516b458bb
ValueCountFrequency (%)
http://10.7.80.100:8080/internal.file.distribute/download/permanent/e096eabb-f9c8-4ff8-a76b-2f3ef690b716 2
 
2.0%
http://10.7.80.100:8080/internal.file.distribute/download/permanent/643ebb6b-9762-416a-8599-00169ac61d80 1
 
1.0%
http://10.7.80.100:8080/internal.file.distribute/download/permanent/18a80374-b005-43e5-9abb-8a03db861894 1
 
1.0%
http://10.7.80.100:8080/internal.file.distribute/download/permanent/e6574850-3176-403a-afeb-06ca24bdab5d 1
 
1.0%
http://10.7.80.100:8080/internal.file.distribute/download/permanent/b1edf105-89f0-4858-bd30-cc74ccb16d77 1
 
1.0%
http://10.7.80.100:8080/internal.file.distribute/download/permanent/2e2d42fe-5f16-4eb9-817e-8821fc8ee66b 1
 
1.0%
http://10.7.80.100:8080/internal.file.distribute/download/permanent/028c6248-4daf-4ece-bb9f-001aa99f1ccc 1
 
1.0%
http://10.7.80.100:8080/internal.file.distribute/download/permanent/afe0e31e-fb5b-483c-ad11-da64f4e0b4f6 1
 
1.0%
http://10.7.80.100:8080/internal.file.distribute/download/permanent/93bd3f8b-eda0-4efa-bc36-d3465ebb34ca 1
 
1.0%
http://10.7.80.100:8080/internal.file.distribute/download/permanent/f11bb746-6b06-48f6-9b86-7b2d06c0a7a3 1
 
1.0%
Other values (89) 89
89.0%
2023-12-13T01:31:52.555459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 811
 
7.8%
e 684
 
6.6%
t 600
 
5.8%
/ 600
 
5.8%
a 512
 
4.9%
8 509
 
4.9%
. 500
 
4.8%
n 500
 
4.8%
d 468
 
4.5%
i 400
 
3.8%
Other values (22) 4816
46.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 5466
52.6%
Decimal Number 3234
31.1%
Other Punctuation 1300
 
12.5%
Dash Punctuation 400
 
3.8%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 684
12.5%
t 600
11.0%
a 512
9.4%
n 500
9.1%
d 468
8.6%
i 400
 
7.3%
b 335
 
6.1%
l 300
 
5.5%
r 300
 
5.5%
f 276
 
5.0%
Other values (8) 1091
20.0%
Decimal Number
ValueCountFrequency (%)
0 811
25.1%
8 509
15.7%
1 395
12.2%
4 294
 
9.1%
7 284
 
8.8%
9 222
 
6.9%
6 194
 
6.0%
2 176
 
5.4%
3 175
 
5.4%
5 174
 
5.4%
Other Punctuation
ValueCountFrequency (%)
/ 600
46.2%
. 500
38.5%
: 200
 
15.4%
Dash Punctuation
ValueCountFrequency (%)
- 400
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 5466
52.6%
Common 4934
47.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 684
12.5%
t 600
11.0%
a 512
9.4%
n 500
9.1%
d 468
8.6%
i 400
 
7.3%
b 335
 
6.1%
l 300
 
5.5%
r 300
 
5.5%
f 276
 
5.0%
Other values (8) 1091
20.0%
Common
ValueCountFrequency (%)
0 811
16.4%
/ 600
12.2%
8 509
10.3%
. 500
10.1%
- 400
8.1%
1 395
8.0%
4 294
 
6.0%
7 284
 
5.8%
9 222
 
4.5%
: 200
 
4.1%
Other values (4) 719
14.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10400
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 811
 
7.8%
e 684
 
6.6%
t 600
 
5.8%
/ 600
 
5.8%
a 512
 
4.9%
8 509
 
4.9%
. 500
 
4.8%
n 500
 
4.8%
d 468
 
4.5%
i 400
 
3.8%
Other values (22) 4816
46.3%

프로덕트스펙
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
INT.IHO.S-412.2.0
100 

Length

Max length17
Median length17
Mean length17
Min length17

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowINT.IHO.S-412.2.0
2nd rowINT.IHO.S-412.2.0
3rd rowINT.IHO.S-412.2.0
4th rowINT.IHO.S-412.2.0
5th rowINT.IHO.S-412.2.0

Common Values

ValueCountFrequency (%)
INT.IHO.S-412.2.0 100
100.0%

Length

2023-12-13T01:31:52.692294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:31:52.783056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
int.iho.s-412.2.0 100
100.0%

생성날짜
Date

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
Minimum2019-08-16 14:47:19
Maximum2019-08-16 15:18:41
2023-12-13T01:31:53.163885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:31:53.300024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

기상예보 시작시간
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2019-08-01 6:00
99 
2020-08-15 6:00
 
1

Length

Max length15
Median length15
Mean length15
Min length15

Unique

Unique1 ?
Unique (%)1.0%

Sample

1st row2019-08-01 6:00
2nd row2019-08-01 6:00
3rd row2019-08-01 6:00
4th row2019-08-01 6:00
5th row2019-08-01 6:00

Common Values

ValueCountFrequency (%)
2019-08-01 6:00 99
99.0%
2020-08-15 6:00 1
 
1.0%

Length

2023-12-13T01:31:53.472827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:31:53.567392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
6:00 100
50.0%
2019-08-01 99
49.5%
2020-08-15 1
 
0.5%

기상예보 종료시간
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2019-08-02 21:00
99 
2019-08-16 21:00
 
1

Length

Max length16
Median length16
Mean length16
Min length16

Unique

Unique1 ?
Unique (%)1.0%

Sample

1st row2019-08-02 21:00
2nd row2019-08-02 21:00
3rd row2019-08-02 21:00
4th row2019-08-02 21:00
5th row2019-08-02 21:00

Common Values

ValueCountFrequency (%)
2019-08-02 21:00 99
99.0%
2019-08-16 21:00 1
 
1.0%

Length

2023-12-13T01:31:53.664735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:31:53.745461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
21:00 100
50.0%
2019-08-02 99
49.5%
2019-08-16 1
 
0.5%

좌표계
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
EPSG:4326
100 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowEPSG:4326
2nd rowEPSG:4326
3rd rowEPSG:4326
4th rowEPSG:4326
5th rowEPSG:4326

Common Values

ValueCountFrequency (%)
EPSG:4326 100
100.0%

Length

2023-12-13T01:31:53.836568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:31:53.906777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
epsg:4326 100
100.0%

기상예보항목명
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
WAVE_WIND_DIRECTION,OCEAN_CURRENT_DIRECTION,WAVE_WIND_SPEED,OCEAN_CURRENT_SPEED,AVG_WAVE_PRD,WATER_SALT,MAX_WPK_PRD,TEMPERATURE_3HR,NEW_SNOW_AMOUNT_3HR,SKY_STATUS,PRESSURE,RAIN_AMOUNT_3HR,MAX_WAVE_DIR,HUMIDITY,WAVE_LENGTH,WATER_TEMPERATURE,AVG_WAVE_DIR,VISIBILITY,WAVE_HEIGHT_INST
95 
WAVE_WIND_DIRECTION,OCEAN_CURRENT_DIRECTION,WAVE_WIND_SPEED,OCEAN_CURRENT_SPEED,AVG_WAVE_PRD,MAX_WPK_PRD,TEMPERATURE_3HR,NEW_SNOW_AMOUNT_3HR,SKY_STATUS,PRESSURE,RAIN_AMOUNT_3HR,MAX_WAVE_DIR,HUMIDITY,WAVE_LENGTH,AVG_WAVE_DIR,VISIBILITY,WAVE_HEIGHT_INST
 
5

Length

Max length280
Median length280
Mean length278.55
Min length251

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowWAVE_WIND_DIRECTION,OCEAN_CURRENT_DIRECTION,WAVE_WIND_SPEED,OCEAN_CURRENT_SPEED,AVG_WAVE_PRD,WATER_SALT,MAX_WPK_PRD,TEMPERATURE_3HR,NEW_SNOW_AMOUNT_3HR,SKY_STATUS,PRESSURE,RAIN_AMOUNT_3HR,MAX_WAVE_DIR,HUMIDITY,WAVE_LENGTH,WATER_TEMPERATURE,AVG_WAVE_DIR,VISIBILITY,WAVE_HEIGHT_INST
2nd rowWAVE_WIND_DIRECTION,OCEAN_CURRENT_DIRECTION,WAVE_WIND_SPEED,OCEAN_CURRENT_SPEED,AVG_WAVE_PRD,WATER_SALT,MAX_WPK_PRD,TEMPERATURE_3HR,NEW_SNOW_AMOUNT_3HR,SKY_STATUS,PRESSURE,RAIN_AMOUNT_3HR,MAX_WAVE_DIR,HUMIDITY,WAVE_LENGTH,WATER_TEMPERATURE,AVG_WAVE_DIR,VISIBILITY,WAVE_HEIGHT_INST
3rd rowWAVE_WIND_DIRECTION,OCEAN_CURRENT_DIRECTION,WAVE_WIND_SPEED,OCEAN_CURRENT_SPEED,AVG_WAVE_PRD,WATER_SALT,MAX_WPK_PRD,TEMPERATURE_3HR,NEW_SNOW_AMOUNT_3HR,SKY_STATUS,PRESSURE,RAIN_AMOUNT_3HR,MAX_WAVE_DIR,HUMIDITY,WAVE_LENGTH,WATER_TEMPERATURE,AVG_WAVE_DIR,VISIBILITY,WAVE_HEIGHT_INST
4th rowWAVE_WIND_DIRECTION,OCEAN_CURRENT_DIRECTION,WAVE_WIND_SPEED,OCEAN_CURRENT_SPEED,AVG_WAVE_PRD,WATER_SALT,MAX_WPK_PRD,TEMPERATURE_3HR,NEW_SNOW_AMOUNT_3HR,SKY_STATUS,PRESSURE,RAIN_AMOUNT_3HR,MAX_WAVE_DIR,HUMIDITY,WAVE_LENGTH,WATER_TEMPERATURE,AVG_WAVE_DIR,VISIBILITY,WAVE_HEIGHT_INST
5th rowWAVE_WIND_DIRECTION,OCEAN_CURRENT_DIRECTION,WAVE_WIND_SPEED,OCEAN_CURRENT_SPEED,AVG_WAVE_PRD,WATER_SALT,MAX_WPK_PRD,TEMPERATURE_3HR,NEW_SNOW_AMOUNT_3HR,SKY_STATUS,PRESSURE,RAIN_AMOUNT_3HR,MAX_WAVE_DIR,HUMIDITY,WAVE_LENGTH,WATER_TEMPERATURE,AVG_WAVE_DIR,VISIBILITY,WAVE_HEIGHT_INST

Common Values

ValueCountFrequency (%)
WAVE_WIND_DIRECTION,OCEAN_CURRENT_DIRECTION,WAVE_WIND_SPEED,OCEAN_CURRENT_SPEED,AVG_WAVE_PRD,WATER_SALT,MAX_WPK_PRD,TEMPERATURE_3HR,NEW_SNOW_AMOUNT_3HR,SKY_STATUS,PRESSURE,RAIN_AMOUNT_3HR,MAX_WAVE_DIR,HUMIDITY,WAVE_LENGTH,WATER_TEMPERATURE,AVG_WAVE_DIR,VISIBILITY,WAVE_HEIGHT_INST 95
95.0%
WAVE_WIND_DIRECTION,OCEAN_CURRENT_DIRECTION,WAVE_WIND_SPEED,OCEAN_CURRENT_SPEED,AVG_WAVE_PRD,MAX_WPK_PRD,TEMPERATURE_3HR,NEW_SNOW_AMOUNT_3HR,SKY_STATUS,PRESSURE,RAIN_AMOUNT_3HR,MAX_WAVE_DIR,HUMIDITY,WAVE_LENGTH,AVG_WAVE_DIR,VISIBILITY,WAVE_HEIGHT_INST 5
 
5.0%

Length

2023-12-13T01:31:53.992344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:31:54.076635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
wave_wind_direction,ocean_current_direction,wave_wind_speed,ocean_current_speed,avg_wave_prd,water_salt,max_wpk_prd,temperature_3hr,new_snow_amount_3hr,sky_status,pressure,rain_amount_3hr,max_wave_dir,humidity,wave_length,water_temperature,avg_wave_dir,visibility,wave_height_inst 95
95.0%
wave_wind_direction,ocean_current_direction,wave_wind_speed,ocean_current_speed,avg_wave_prd,max_wpk_prd,temperature_3hr,new_snow_amount_3hr,sky_status,pressure,rain_amount_3hr,max_wave_dir,humidity,wave_length,avg_wave_dir,visibility,wave_height_inst 5
 
5.0%

Interactions

2023-12-13T01:31:49.666862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T01:31:54.154771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
파일번호구역번호기상예보일자파일명파일경로생성날짜기상예보 시작시간기상예보 종료시간기상예보항목명
파일번호1.0000.9400.0411.0000.9401.0000.0410.0410.094
구역번호0.9401.0000.0001.0001.0001.0000.0000.0001.000
기상예보일자0.0410.0001.0001.0000.0001.0000.6930.6930.000
파일명1.0001.0001.0001.0001.0001.0001.0001.0001.000
파일경로0.9401.0000.0001.0001.0001.0000.0000.0001.000
생성날짜1.0001.0001.0001.0001.0001.0001.0001.0001.000
기상예보 시작시간0.0410.0000.6931.0000.0001.0001.0000.6930.000
기상예보 종료시간0.0410.0000.6931.0000.0001.0000.6931.0000.000
기상예보항목명0.0941.0000.0001.0001.0001.0000.0000.0001.000
2023-12-13T01:31:54.256294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기상예보일자기상예보 시작시간기상예보 종료시간기상예보항목명
기상예보일자1.0000.4870.4870.000
기상예보 시작시간0.4871.0000.4870.000
기상예보 종료시간0.4870.4871.0000.000
기상예보항목명0.0000.0000.0001.000
2023-12-13T01:31:54.353566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
파일번호기상예보일자기상예보 시작시간기상예보 종료시간기상예보항목명
파일번호1.0000.0000.0000.0000.062
기상예보일자0.0001.0000.4870.4870.000
기상예보 시작시간0.0000.4871.0000.4870.000
기상예보 종료시간0.0000.4870.4871.0000.000
기상예보항목명0.0620.0000.0000.0001.000

Missing values

2023-12-13T01:31:49.771276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T01:31:49.927153image/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

파일번호구역번호기상예보일자파일명파일경로프로덕트스펙생성날짜기상예보 시작시간기상예보 종료시간좌표계기상예보항목명
01L000012019-08-01 6:002019080106_s412_area_L00001.h5http://10.7.80.100:8080/internal.file.distribute/download/permanent/e096eabb-f9c8-4ff8-a76b-2f3ef690b716INT.IHO.S-412.2.02019-08-16 14:47:202019-08-01 6:002019-08-02 21:00EPSG:4326WAVE_WIND_DIRECTION,OCEAN_CURRENT_DIRECTION,WAVE_WIND_SPEED,OCEAN_CURRENT_SPEED,AVG_WAVE_PRD,WATER_SALT,MAX_WPK_PRD,TEMPERATURE_3HR,NEW_SNOW_AMOUNT_3HR,SKY_STATUS,PRESSURE,RAIN_AMOUNT_3HR,MAX_WAVE_DIR,HUMIDITY,WAVE_LENGTH,WATER_TEMPERATURE,AVG_WAVE_DIR,VISIBILITY,WAVE_HEIGHT_INST
12L000022019-08-01 6:002019080106_s412_area_L00002.h5http://10.7.80.100:8080/internal.file.distribute/download/permanent/df70c111-5a9c-4353-835c-23ae95a892b0INT.IHO.S-412.2.02019-08-16 14:47:252019-08-01 6:002019-08-02 21:00EPSG:4326WAVE_WIND_DIRECTION,OCEAN_CURRENT_DIRECTION,WAVE_WIND_SPEED,OCEAN_CURRENT_SPEED,AVG_WAVE_PRD,WATER_SALT,MAX_WPK_PRD,TEMPERATURE_3HR,NEW_SNOW_AMOUNT_3HR,SKY_STATUS,PRESSURE,RAIN_AMOUNT_3HR,MAX_WAVE_DIR,HUMIDITY,WAVE_LENGTH,WATER_TEMPERATURE,AVG_WAVE_DIR,VISIBILITY,WAVE_HEIGHT_INST
23L000032019-08-01 6:002019080106_s412_area_L00003.h5http://10.7.80.100:8080/internal.file.distribute/download/permanent/457ebe36-170c-42c9-9d56-ae8cf76f02faINT.IHO.S-412.2.02019-08-16 14:47:312019-08-01 6:002019-08-02 21:00EPSG:4326WAVE_WIND_DIRECTION,OCEAN_CURRENT_DIRECTION,WAVE_WIND_SPEED,OCEAN_CURRENT_SPEED,AVG_WAVE_PRD,WATER_SALT,MAX_WPK_PRD,TEMPERATURE_3HR,NEW_SNOW_AMOUNT_3HR,SKY_STATUS,PRESSURE,RAIN_AMOUNT_3HR,MAX_WAVE_DIR,HUMIDITY,WAVE_LENGTH,WATER_TEMPERATURE,AVG_WAVE_DIR,VISIBILITY,WAVE_HEIGHT_INST
34L000042019-08-01 6:002019080106_s412_area_L00004.h5http://10.7.80.100:8080/internal.file.distribute/download/permanent/bf0375f7-aa5a-4b07-bc07-a0e14fec2654INT.IHO.S-412.2.02019-08-16 14:47:362019-08-01 6:002019-08-02 21:00EPSG:4326WAVE_WIND_DIRECTION,OCEAN_CURRENT_DIRECTION,WAVE_WIND_SPEED,OCEAN_CURRENT_SPEED,AVG_WAVE_PRD,WATER_SALT,MAX_WPK_PRD,TEMPERATURE_3HR,NEW_SNOW_AMOUNT_3HR,SKY_STATUS,PRESSURE,RAIN_AMOUNT_3HR,MAX_WAVE_DIR,HUMIDITY,WAVE_LENGTH,WATER_TEMPERATURE,AVG_WAVE_DIR,VISIBILITY,WAVE_HEIGHT_INST
45L000052019-08-01 6:002019080106_s412_area_L00005.h5http://10.7.80.100:8080/internal.file.distribute/download/permanent/91eeb17d-3d23-4e1b-a2e6-bd0516b458bbINT.IHO.S-412.2.02019-08-16 14:47:412019-08-01 6:002019-08-02 21:00EPSG:4326WAVE_WIND_DIRECTION,OCEAN_CURRENT_DIRECTION,WAVE_WIND_SPEED,OCEAN_CURRENT_SPEED,AVG_WAVE_PRD,WATER_SALT,MAX_WPK_PRD,TEMPERATURE_3HR,NEW_SNOW_AMOUNT_3HR,SKY_STATUS,PRESSURE,RAIN_AMOUNT_3HR,MAX_WAVE_DIR,HUMIDITY,WAVE_LENGTH,WATER_TEMPERATURE,AVG_WAVE_DIR,VISIBILITY,WAVE_HEIGHT_INST
56L000062019-08-01 6:002019080106_s412_area_L00006.h5http://10.7.80.100:8080/internal.file.distribute/download/permanent/7bd606f3-e381-4b5e-8793-24cfecbdef3fINT.IHO.S-412.2.02019-08-16 14:47:452019-08-01 6:002019-08-02 21:00EPSG:4326WAVE_WIND_DIRECTION,OCEAN_CURRENT_DIRECTION,WAVE_WIND_SPEED,OCEAN_CURRENT_SPEED,AVG_WAVE_PRD,WATER_SALT,MAX_WPK_PRD,TEMPERATURE_3HR,NEW_SNOW_AMOUNT_3HR,SKY_STATUS,PRESSURE,RAIN_AMOUNT_3HR,MAX_WAVE_DIR,HUMIDITY,WAVE_LENGTH,WATER_TEMPERATURE,AVG_WAVE_DIR,VISIBILITY,WAVE_HEIGHT_INST
67L000072019-08-01 6:002019080106_s412_area_L00007.h5http://10.7.80.100:8080/internal.file.distribute/download/permanent/cd3bf014-9bc6-481a-92ac-47423b2e599dINT.IHO.S-412.2.02019-08-16 14:47:502019-08-01 6:002019-08-02 21:00EPSG:4326WAVE_WIND_DIRECTION,OCEAN_CURRENT_DIRECTION,WAVE_WIND_SPEED,OCEAN_CURRENT_SPEED,AVG_WAVE_PRD,WATER_SALT,MAX_WPK_PRD,TEMPERATURE_3HR,NEW_SNOW_AMOUNT_3HR,SKY_STATUS,PRESSURE,RAIN_AMOUNT_3HR,MAX_WAVE_DIR,HUMIDITY,WAVE_LENGTH,WATER_TEMPERATURE,AVG_WAVE_DIR,VISIBILITY,WAVE_HEIGHT_INST
78L000082019-08-01 6:002019080106_s412_area_L00008.h5http://10.7.80.100:8080/internal.file.distribute/download/permanent/078a76cc-ff38-497b-a30a-112d8aa4108fINT.IHO.S-412.2.02019-08-16 14:47:552019-08-01 6:002019-08-02 21:00EPSG:4326WAVE_WIND_DIRECTION,OCEAN_CURRENT_DIRECTION,WAVE_WIND_SPEED,OCEAN_CURRENT_SPEED,AVG_WAVE_PRD,WATER_SALT,MAX_WPK_PRD,TEMPERATURE_3HR,NEW_SNOW_AMOUNT_3HR,SKY_STATUS,PRESSURE,RAIN_AMOUNT_3HR,MAX_WAVE_DIR,HUMIDITY,WAVE_LENGTH,WATER_TEMPERATURE,AVG_WAVE_DIR,VISIBILITY,WAVE_HEIGHT_INST
89L000092019-08-01 6:002019080106_s412_area_L00009.h5http://10.7.80.100:8080/internal.file.distribute/download/permanent/3a47b14e-0340-47b7-8049-029183772cd8INT.IHO.S-412.2.02019-08-16 14:48:012019-08-01 6:002019-08-02 21:00EPSG:4326WAVE_WIND_DIRECTION,OCEAN_CURRENT_DIRECTION,WAVE_WIND_SPEED,OCEAN_CURRENT_SPEED,AVG_WAVE_PRD,WATER_SALT,MAX_WPK_PRD,TEMPERATURE_3HR,NEW_SNOW_AMOUNT_3HR,SKY_STATUS,PRESSURE,RAIN_AMOUNT_3HR,MAX_WAVE_DIR,HUMIDITY,WAVE_LENGTH,WATER_TEMPERATURE,AVG_WAVE_DIR,VISIBILITY,WAVE_HEIGHT_INST
910L000102019-08-01 6:002019080106_s412_area_L00010.h5http://10.7.80.100:8080/internal.file.distribute/download/permanent/b5f34aec-b098-4a18-a6f4-3db22d2704d9INT.IHO.S-412.2.02019-08-16 14:48:072019-08-01 6:002019-08-02 21:00EPSG:4326WAVE_WIND_DIRECTION,OCEAN_CURRENT_DIRECTION,WAVE_WIND_SPEED,OCEAN_CURRENT_SPEED,AVG_WAVE_PRD,WATER_SALT,MAX_WPK_PRD,TEMPERATURE_3HR,NEW_SNOW_AMOUNT_3HR,SKY_STATUS,PRESSURE,RAIN_AMOUNT_3HR,MAX_WAVE_DIR,HUMIDITY,WAVE_LENGTH,WATER_TEMPERATURE,AVG_WAVE_DIR,VISIBILITY,WAVE_HEIGHT_INST
파일번호구역번호기상예보일자파일명파일경로프로덕트스펙생성날짜기상예보 시작시간기상예보 종료시간좌표계기상예보항목명
9091L000992019-08-01 6:002019080106_s412_area_L00099.h5http://10.7.80.100:8080/internal.file.distribute/download/permanent/d9ca5220-9cc5-4c2b-b5f3-cb362306989dINT.IHO.S-412.2.02019-08-16 15:15:592019-08-01 6:002019-08-02 21:00EPSG:4326WAVE_WIND_DIRECTION,OCEAN_CURRENT_DIRECTION,WAVE_WIND_SPEED,OCEAN_CURRENT_SPEED,AVG_WAVE_PRD,WATER_SALT,MAX_WPK_PRD,TEMPERATURE_3HR,NEW_SNOW_AMOUNT_3HR,SKY_STATUS,PRESSURE,RAIN_AMOUNT_3HR,MAX_WAVE_DIR,HUMIDITY,WAVE_LENGTH,WATER_TEMPERATURE,AVG_WAVE_DIR,VISIBILITY,WAVE_HEIGHT_INST
9192L001002019-08-01 6:002019080106_s412_area_L00100.h5http://10.7.80.100:8080/internal.file.distribute/download/permanent/6e39670c-60d7-47ba-9a76-e2042a7ba43fINT.IHO.S-412.2.02019-08-16 15:16:192019-08-01 6:002019-08-02 21:00EPSG:4326WAVE_WIND_DIRECTION,OCEAN_CURRENT_DIRECTION,WAVE_WIND_SPEED,OCEAN_CURRENT_SPEED,AVG_WAVE_PRD,WATER_SALT,MAX_WPK_PRD,TEMPERATURE_3HR,NEW_SNOW_AMOUNT_3HR,SKY_STATUS,PRESSURE,RAIN_AMOUNT_3HR,MAX_WAVE_DIR,HUMIDITY,WAVE_LENGTH,WATER_TEMPERATURE,AVG_WAVE_DIR,VISIBILITY,WAVE_HEIGHT_INST
9293L001012019-08-01 6:002019080106_s412_area_L00101.h5http://10.7.80.100:8080/internal.file.distribute/download/permanent/16bd13c9-871f-445a-8c90-a0fd19c93d16INT.IHO.S-412.2.02019-08-16 15:16:382019-08-01 6:002019-08-02 21:00EPSG:4326WAVE_WIND_DIRECTION,OCEAN_CURRENT_DIRECTION,WAVE_WIND_SPEED,OCEAN_CURRENT_SPEED,AVG_WAVE_PRD,MAX_WPK_PRD,TEMPERATURE_3HR,NEW_SNOW_AMOUNT_3HR,SKY_STATUS,PRESSURE,RAIN_AMOUNT_3HR,MAX_WAVE_DIR,HUMIDITY,WAVE_LENGTH,AVG_WAVE_DIR,VISIBILITY,WAVE_HEIGHT_INST
9394L001022019-08-01 6:002019080106_s412_area_L00102.h5http://10.7.80.100:8080/internal.file.distribute/download/permanent/b6291212-e117-48d0-8399-7fbb44b25b20INT.IHO.S-412.2.02019-08-16 15:16:572019-08-01 6:002019-08-02 21:00EPSG:4326WAVE_WIND_DIRECTION,OCEAN_CURRENT_DIRECTION,WAVE_WIND_SPEED,OCEAN_CURRENT_SPEED,AVG_WAVE_PRD,WATER_SALT,MAX_WPK_PRD,TEMPERATURE_3HR,NEW_SNOW_AMOUNT_3HR,SKY_STATUS,PRESSURE,RAIN_AMOUNT_3HR,MAX_WAVE_DIR,HUMIDITY,WAVE_LENGTH,WATER_TEMPERATURE,AVG_WAVE_DIR,VISIBILITY,WAVE_HEIGHT_INST
9495L001032019-08-01 6:002019080106_s412_area_L00103.h5http://10.7.80.100:8080/internal.file.distribute/download/permanent/90ebc153-88af-456e-a172-bac63bb7f600INT.IHO.S-412.2.02019-08-16 15:17:162019-08-01 6:002019-08-02 21:00EPSG:4326WAVE_WIND_DIRECTION,OCEAN_CURRENT_DIRECTION,WAVE_WIND_SPEED,OCEAN_CURRENT_SPEED,AVG_WAVE_PRD,WATER_SALT,MAX_WPK_PRD,TEMPERATURE_3HR,NEW_SNOW_AMOUNT_3HR,SKY_STATUS,PRESSURE,RAIN_AMOUNT_3HR,MAX_WAVE_DIR,HUMIDITY,WAVE_LENGTH,WATER_TEMPERATURE,AVG_WAVE_DIR,VISIBILITY,WAVE_HEIGHT_INST
9596L001042019-08-01 6:002019080106_s412_area_L00104.h5http://10.7.80.100:8080/internal.file.distribute/download/permanent/c8cfd4f9-bba5-41de-97c3-95f014263f0cINT.IHO.S-412.2.02019-08-16 15:17:372019-08-01 6:002019-08-02 21:00EPSG:4326WAVE_WIND_DIRECTION,OCEAN_CURRENT_DIRECTION,WAVE_WIND_SPEED,OCEAN_CURRENT_SPEED,AVG_WAVE_PRD,WATER_SALT,MAX_WPK_PRD,TEMPERATURE_3HR,NEW_SNOW_AMOUNT_3HR,SKY_STATUS,PRESSURE,RAIN_AMOUNT_3HR,MAX_WAVE_DIR,HUMIDITY,WAVE_LENGTH,WATER_TEMPERATURE,AVG_WAVE_DIR,VISIBILITY,WAVE_HEIGHT_INST
9697L001052019-08-01 6:002019080106_s412_area_L00105.h5http://10.7.80.100:8080/internal.file.distribute/download/permanent/187e6ef4-4ce1-4942-a537-f19df95a51ccINT.IHO.S-412.2.02019-08-16 15:17:582019-08-01 6:002019-08-02 21:00EPSG:4326WAVE_WIND_DIRECTION,OCEAN_CURRENT_DIRECTION,WAVE_WIND_SPEED,OCEAN_CURRENT_SPEED,AVG_WAVE_PRD,WATER_SALT,MAX_WPK_PRD,TEMPERATURE_3HR,NEW_SNOW_AMOUNT_3HR,SKY_STATUS,PRESSURE,RAIN_AMOUNT_3HR,MAX_WAVE_DIR,HUMIDITY,WAVE_LENGTH,WATER_TEMPERATURE,AVG_WAVE_DIR,VISIBILITY,WAVE_HEIGHT_INST
9798L001062019-08-01 6:002019080106_s412_area_L00106.h5http://10.7.80.100:8080/internal.file.distribute/download/permanent/ac032ad0-5d19-442b-bd91-4b7feabb9722INT.IHO.S-412.2.02019-08-16 15:18:232019-08-01 6:002019-08-02 21:00EPSG:4326WAVE_WIND_DIRECTION,OCEAN_CURRENT_DIRECTION,WAVE_WIND_SPEED,OCEAN_CURRENT_SPEED,AVG_WAVE_PRD,WATER_SALT,MAX_WPK_PRD,TEMPERATURE_3HR,NEW_SNOW_AMOUNT_3HR,SKY_STATUS,PRESSURE,RAIN_AMOUNT_3HR,MAX_WAVE_DIR,HUMIDITY,WAVE_LENGTH,WATER_TEMPERATURE,AVG_WAVE_DIR,VISIBILITY,WAVE_HEIGHT_INST
9899L001072019-08-01 6:002019080106_s412_area_L00107.h5http://10.7.80.100:8080/internal.file.distribute/download/permanent/0c2255c8-9e2d-44b9-958f-ba26091a109bINT.IHO.S-412.2.02019-08-16 15:18:412019-08-01 6:002019-08-02 21:00EPSG:4326WAVE_WIND_DIRECTION,OCEAN_CURRENT_DIRECTION,WAVE_WIND_SPEED,OCEAN_CURRENT_SPEED,AVG_WAVE_PRD,WATER_SALT,MAX_WPK_PRD,TEMPERATURE_3HR,NEW_SNOW_AMOUNT_3HR,SKY_STATUS,PRESSURE,RAIN_AMOUNT_3HR,MAX_WAVE_DIR,HUMIDITY,WAVE_LENGTH,WATER_TEMPERATURE,AVG_WAVE_DIR,VISIBILITY,WAVE_HEIGHT_INST
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