Overview

Dataset statistics

Number of variables11
Number of observations100
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.7 KiB
Average record size in memory99.3 B

Variable types

Categorical10
Numeric1

Dataset

Description샘플 데이터
Author세종대학교 산학협력단
URLhttps://www.bigdata-environment.kr/user/data_market/detail.do?id=a5c77650-338d-11eb-8adf-f5453fd1d47b

Alerts

관측 순번 has constant value ""Constant
관측소 번호 has constant value ""Constant
국가 코드 has constant value ""Constant
강수 량(in) has constant value ""Constant
평균 온도(℉) has constant value ""Constant
최대 온도(℉) has constant value ""Constant
최저 온도(℉) has constant value ""Constant
이슬 점 온도(℉) has constant value ""Constant
평균 바람 속도(kn) has constant value ""Constant
평균 해면 기압 값(mb) has constant value ""Constant
관측 일 has unique valuesUnique

Reproduction

Analysis started2023-12-10 12:02:10.633443
Analysis finished2023-12-10 12:02:11.292047
Duration0.66 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

관측 순번
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
12362
100 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row12362
2nd row12362
3rd row12362
4th row12362
5th row12362

Common Values

ValueCountFrequency (%)
12362 100
100.0%

Length

2023-12-10T21:02:11.388766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T21:02:11.505234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
12362 100
100.0%

관측소 번호
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
617010
100 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row617010
2nd row617010
3rd row617010
4th row617010
5th row617010

Common Values

ValueCountFrequency (%)
617010 100
100.0%

Length

2023-12-10T21:02:11.615964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T21:02:11.721339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
617010 100
100.0%

국가 코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
GA
100 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
GA 100
100.0%

Length

2023-12-10T21:02:11.833906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T21:02:11.968808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
ga 100
100.0%

관측 일
Real number (ℝ)

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19490272
Minimum19490113
Maximum19490422
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T21:02:12.185218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19490113
5-th percentile19490118
Q119490207
median19490304
Q319490328
95-th percentile19490417
Maximum19490422
Range309
Interquartile range (IQR)121.5

Descriptive statistics

Standard deviation101.20345
Coefficient of variation (CV)5.192511 × 10-6
Kurtosis-1.1890115
Mean19490272
Median Absolute Deviation (MAD)94
Skewness-0.061017676
Sum1.9490272 × 109
Variance10242.138
MonotonicityNot monotonic
2023-12-10T21:02:12.384690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19490114 1
 
1.0%
19490319 1
 
1.0%
19490329 1
 
1.0%
19490328 1
 
1.0%
19490327 1
 
1.0%
19490326 1
 
1.0%
19490325 1
 
1.0%
19490324 1
 
1.0%
19490323 1
 
1.0%
19490322 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
19490113 1
1.0%
19490114 1
1.0%
19490115 1
1.0%
19490116 1
1.0%
19490117 1
1.0%
19490118 1
1.0%
19490119 1
1.0%
19490120 1
1.0%
19490121 1
1.0%
19490122 1
1.0%
ValueCountFrequency (%)
19490422 1
1.0%
19490421 1
1.0%
19490420 1
1.0%
19490419 1
1.0%
19490418 1
1.0%
19490417 1
1.0%
19490416 1
1.0%
19490415 1
1.0%
19490414 1
1.0%
19490413 1
1.0%

강수 량(in)
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
99.99
100 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row99.99
2nd row99.99
3rd row99.99
4th row99.99
5th row99.99

Common Values

ValueCountFrequency (%)
99.99 100
100.0%

Length

2023-12-10T21:02:12.588051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T21:02:12.725036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
99.99 100
100.0%

평균 온도(℉)
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
9999.9
100 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row9999.9
2nd row9999.9
3rd row9999.9
4th row9999.9
5th row9999.9

Common Values

ValueCountFrequency (%)
9999.9 100
100.0%

Length

2023-12-10T21:02:12.863294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T21:02:13.002812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
9999.9 100
100.0%

최대 온도(℉)
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
9999.9
100 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row9999.9
2nd row9999.9
3rd row9999.9
4th row9999.9
5th row9999.9

Common Values

ValueCountFrequency (%)
9999.9 100
100.0%

Length

2023-12-10T21:02:13.159790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T21:02:13.319114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
9999.9 100
100.0%

최저 온도(℉)
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
9999.9
100 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row9999.9
2nd row9999.9
3rd row9999.9
4th row9999.9
5th row9999.9

Common Values

ValueCountFrequency (%)
9999.9 100
100.0%

Length

2023-12-10T21:02:13.508627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T21:02:13.660997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
9999.9 100
100.0%

이슬 점 온도(℉)
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
9999.9
100 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row9999.9
2nd row9999.9
3rd row9999.9
4th row9999.9
5th row9999.9

Common Values

ValueCountFrequency (%)
9999.9 100
100.0%

Length

2023-12-10T21:02:13.830201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T21:02:14.012136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
9999.9 100
100.0%

평균 바람 속도(kn)
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
999.9
100 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row999.9
2nd row999.9
3rd row999.9
4th row999.9
5th row999.9

Common Values

ValueCountFrequency (%)
999.9 100
100.0%

Length

2023-12-10T21:02:14.164182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T21:02:14.322985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
999.9 100
100.0%

평균 해면 기압 값(mb)
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
9999.9
100 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row9999.9
2nd row9999.9
3rd row9999.9
4th row9999.9
5th row9999.9

Common Values

ValueCountFrequency (%)
9999.9 100
100.0%

Length

2023-12-10T21:02:14.501105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T21:02:14.616888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
9999.9 100
100.0%

Interactions

2023-12-10T21:02:10.760601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-12-10T21:02:10.920490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T21:02:11.175932image/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

관측 순번관측소 번호국가 코드관측 일강수 량(in)평균 온도(℉)최대 온도(℉)최저 온도(℉)이슬 점 온도(℉)평균 바람 속도(kn)평균 해면 기압 값(mb)
012362617010GA1949011499.999999.99999.99999.99999.9999.99999.9
112362617010GA1949011599.999999.99999.99999.99999.9999.99999.9
212362617010GA1949011699.999999.99999.99999.99999.9999.99999.9
312362617010GA1949011799.999999.99999.99999.99999.9999.99999.9
412362617010GA1949011899.999999.99999.99999.99999.9999.99999.9
512362617010GA1949011999.999999.99999.99999.99999.9999.99999.9
612362617010GA1949012099.999999.99999.99999.99999.9999.99999.9
712362617010GA1949012199.999999.99999.99999.99999.9999.99999.9
812362617010GA1949012299.999999.99999.99999.99999.9999.99999.9
912362617010GA1949012399.999999.99999.99999.99999.9999.99999.9
관측 순번관측소 번호국가 코드관측 일강수 량(in)평균 온도(℉)최대 온도(℉)최저 온도(℉)이슬 점 온도(℉)평균 바람 속도(kn)평균 해면 기압 값(mb)
9012362617010GA1949041499.999999.99999.99999.99999.9999.99999.9
9112362617010GA1949041599.999999.99999.99999.99999.9999.99999.9
9212362617010GA1949041699.999999.99999.99999.99999.9999.99999.9
9312362617010GA1949041799.999999.99999.99999.99999.9999.99999.9
9412362617010GA1949041899.999999.99999.99999.99999.9999.99999.9
9512362617010GA1949041999.999999.99999.99999.99999.9999.99999.9
9612362617010GA1949042099.999999.99999.99999.99999.9999.99999.9
9712362617010GA1949042199.999999.99999.99999.99999.9999.99999.9
9812362617010GA1949042299.999999.99999.99999.99999.9999.99999.9
9912362617010GA1949011399.999999.99999.99999.99999.9999.99999.9