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 12:02:20.368301
Analysis finished2023-12-10 12:02:21.381444
Duration1.01 second
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
13045
100 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row13045
2nd row13045
3rd row13045
4th row13045
5th row13045

Common Values

ValueCountFrequency (%)
13045 100
100.0%

Length

2023-12-10T21:02:21.474875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T21:02:21.601601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13045 100
100.0%

관측소 번호
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
654010
100 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row654010
2nd row654010
3rd row654010
4th row654010
5th row654010

Common Values

ValueCountFrequency (%)
654010 100
100.0%

Length

2023-12-10T21:02:21.734042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T21:02:21.869709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
654010 100
100.0%

국가 코드
Categorical

CONSTANT 

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

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
GH 100
100.0%

Length

2023-12-10T21:02:22.027207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T21:02:22.162675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
gh 100
100.0%

관측 일
Real number (ℝ)

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19490269
Minimum19490112
Maximum19490421
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T21:02:22.303360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19490112
5-th percentile19490117
Q119490206
median19490302
Q319490327
95-th percentile19490416
Maximum19490421
Range309
Interquartile range (IQR)121.5

Descriptive statistics

Standard deviation101.30179
Coefficient of variation (CV)5.1975577 × 10-6
Kurtosis-1.1932406
Mean19490269
Median Absolute Deviation (MAD)93
Skewness-0.041181964
Sum1.9490269 × 109
Variance10262.054
MonotonicityNot monotonic
2023-12-10T21:02:22.520149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19490315 1
 
1.0%
19490115 1
 
1.0%
19490203 1
 
1.0%
19490131 1
 
1.0%
19490130 1
 
1.0%
19490128 1
 
1.0%
19490127 1
 
1.0%
19490123 1
 
1.0%
19490122 1
 
1.0%
19490120 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
19490112 1
1.0%
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%
ValueCountFrequency (%)
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%
19490412 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

2023-12-10T21:02:22.784896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T21:02:23.006055image/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

2023-12-10T21:02:23.182927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T21:02:23.329366image/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

2023-12-10T21:02:23.472684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T21:02:23.616436image/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

2023-12-10T21:02:23.787274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T21:02:23.936816image/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

2023-12-10T21:02:24.094300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T21:02:24.316142image/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

2023-12-10T21:02:24.485494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T21:02:24.669439image/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

2023-12-10T21:02:24.844910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T21:02:24.977571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
9999.9 100
100.0%

Interactions

2023-12-10T21:02:20.495800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-12-10T21:02:20.714475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T21:02:21.276706image/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)
013045654010GH1949031599.999999.99999.99999.99999.9999.99999.9
113045654010GH1949041999.999999.99999.99999.99999.9999.99999.9
213045654010GH1949021199.999999.99999.99999.99999.9999.99999.9
313045654010GH1949031499.999999.99999.99999.99999.9999.99999.9
413045654010GH1949040399.999999.99999.99999.99999.9999.99999.9
513045654010GH1949041899.999999.99999.99999.99999.9999.99999.9
613045654010GH1949012699.999999.99999.99999.99999.9999.99999.9
713045654010GH1949021099.999999.99999.99999.99999.9999.99999.9
813045654010GH1949022699.999999.99999.99999.99999.9999.99999.9
913045654010GH1949031399.999999.99999.99999.99999.9999.99999.9
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)
9013045654010GH1949030699.999999.99999.99999.99999.9999.99999.9
9113045654010GH1949030799.999999.99999.99999.99999.9999.99999.9
9213045654010GH1949030999.999999.99999.99999.99999.9999.99999.9
9313045654010GH1949031099.999999.99999.99999.99999.9999.99999.9
9413045654010GH1949031699.999999.99999.99999.99999.9999.99999.9
9513045654010GH1949031799.999999.99999.99999.99999.9999.99999.9
9613045654010GH1949031999.999999.99999.99999.99999.9999.99999.9
9713045654010GH1949032099.999999.99999.99999.99999.9999.99999.9
9813045654010GH1949042199.999999.99999.99999.99999.9999.99999.9
9913045654010GH1949042099.999999.99999.99999.99999.9999.99999.9