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 12:02:15.336882
Analysis finished2023-12-10 12:02:16.065087
Duration0.73 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
12887
100 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row12887
2nd row12887
3rd row12887
4th row12887
5th row12887

Common Values

ValueCountFrequency (%)
12887 100
100.0%

Length

2023-12-10T21:02:16.170757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T21:02:16.305354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
12887 100
100.0%

관측소 번호
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
645000
100 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row645000
2nd row645000
3rd row645000
4th row645000
5th row645000

Common Values

ValueCountFrequency (%)
645000 100
100.0%

Length

2023-12-10T21:02:16.465840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T21:02:16.620536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
645000 100
100.0%

국가 코드
Categorical

CONSTANT 

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

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
GB 100
100.0%

Length

2023-12-10T21:02:16.807894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T21:02:16.945523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
gb 100
100.0%

관측 일
Real number (ℝ)

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19490533
Minimum19490401
Maximum19490709
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T21:02:17.114521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19490401
5-th percentile19490406
Q119490426
median19490520
Q319490614
95-th percentile19490704
Maximum19490709
Range308
Interquartile range (IQR)188.5

Descriptive statistics

Standard deviation95.378914
Coefficient of variation (CV)4.8936022 × 10-6
Kurtosis-1.1092782
Mean19490533
Median Absolute Deviation (MAD)94.5
Skewness0.16956387
Sum1.9490533 × 109
Variance9097.1373
MonotonicityNot monotonic
2023-12-10T21:02:17.319384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19490402 1
 
1.0%
19490605 1
 
1.0%
19490615 1
 
1.0%
19490614 1
 
1.0%
19490613 1
 
1.0%
19490612 1
 
1.0%
19490611 1
 
1.0%
19490610 1
 
1.0%
19490609 1
 
1.0%
19490608 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
19490401 1
1.0%
19490402 1
1.0%
19490403 1
1.0%
19490404 1
1.0%
19490405 1
1.0%
19490406 1
1.0%
19490407 1
1.0%
19490408 1
1.0%
19490409 1
1.0%
19490410 1
1.0%
ValueCountFrequency (%)
19490709 1
1.0%
19490708 1
1.0%
19490707 1
1.0%
19490706 1
1.0%
19490705 1
1.0%
19490704 1
1.0%
19490703 1
1.0%
19490702 1
1.0%
19490701 1
1.0%
19490630 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

2023-12-10T21:02:17.530267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T21:02:17.681680image/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

2023-12-10T21:02:17.823225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T21:02:17.983044image/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

2023-12-10T21:02:18.139039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T21:02:18.298444image/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

2023-12-10T21:02:18.499482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T21:02:18.724451image/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

2023-12-10T21:02:18.905472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T21:02:19.072487image/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

2023-12-10T21:02:19.250115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T21:02:19.413498image/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

2023-12-10T21:02:19.560455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T21:02:19.699416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
9999.9 100
100.0%

Interactions

2023-12-10T21:02:15.499145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-12-10T21:02:15.700390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T21:02:15.966973image/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)
012887645000GB1949040299.999999.99999.99999.99999.9999.99999.9
112887645000GB1949040399.999999.99999.99999.99999.9999.99999.9
212887645000GB1949040499.999999.99999.99999.99999.9999.99999.9
312887645000GB1949040599.999999.99999.99999.99999.9999.99999.9
412887645000GB1949040699.999999.99999.99999.99999.9999.99999.9
512887645000GB1949040799.999999.99999.99999.99999.9999.99999.9
612887645000GB1949040899.999999.99999.99999.99999.9999.99999.9
712887645000GB1949040999.999999.99999.99999.99999.9999.99999.9
812887645000GB1949041099.999999.99999.99999.99999.9999.99999.9
912887645000GB1949041199.999999.99999.99999.99999.9999.99999.9
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)
9012887645000GB1949070199.999999.99999.99999.99999.9999.99999.9
9112887645000GB1949070299.999999.99999.99999.99999.9999.99999.9
9212887645000GB1949070399.999999.99999.99999.99999.9999.99999.9
9312887645000GB1949070499.999999.99999.99999.99999.9999.99999.9
9412887645000GB1949070599.999999.99999.99999.99999.9999.99999.9
9512887645000GB1949070699.999999.99999.99999.99999.9999.99999.9
9612887645000GB1949070799.999999.99999.99999.99999.9999.99999.9
9712887645000GB1949070899.999999.99999.99999.99999.9999.99999.9
9812887645000GB1949070999.999999.99999.99999.99999.9999.99999.9
9912887645000GB1949040199.999999.99999.99999.99999.9999.99999.9