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 12:01:50.136448
Analysis finished2023-12-10 12:01:50.791768
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
12374
100 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row12374
2nd row12374
3rd row12374
4th row12374
5th row12374

Common Values

ValueCountFrequency (%)
12374 100
100.0%

Length

2023-12-10T21:01:50.870816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T21:01:51.009679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
12374 100
100.0%

관측소 번호
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
617660
100 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row617660
2nd row617660
3rd row617660
4th row617660
5th row617660

Common Values

ValueCountFrequency (%)
617660 100
100.0%

Length

2023-12-10T21:01:51.164146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T21:01:51.303276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
617660 100
100.0%

국가 코드
Categorical

CONSTANT 

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

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
PU 100
100.0%

Length

2023-12-10T21:01:51.446704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T21:01:51.586268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
pu 100
100.0%

관측 일
Real number (ℝ)

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19490250
Minimum19490106
Maximum19490415
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T21:01:51.730180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19490106
5-th percentile19490111
Q119490131
median19490224
Q319490321
95-th percentile19490410
Maximum19490415
Range309
Interquartile range (IQR)190.5

Descriptive statistics

Standard deviation100.52543
Coefficient of variation (CV)5.1577293 × 10-6
Kurtosis-1.1984971
Mean19490250
Median Absolute Deviation (MAD)95.5
Skewness0.07573613
Sum1.949025 × 109
Variance10105.363
MonotonicityNot monotonic
2023-12-10T21:01:51.947703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19490107 1
 
1.0%
19490312 1
 
1.0%
19490322 1
 
1.0%
19490321 1
 
1.0%
19490320 1
 
1.0%
19490319 1
 
1.0%
19490318 1
 
1.0%
19490317 1
 
1.0%
19490316 1
 
1.0%
19490315 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
19490106 1
1.0%
19490107 1
1.0%
19490108 1
1.0%
19490109 1
1.0%
19490110 1
1.0%
19490111 1
1.0%
19490112 1
1.0%
19490113 1
1.0%
19490114 1
1.0%
19490115 1
1.0%
ValueCountFrequency (%)
19490415 1
1.0%
19490414 1
1.0%
19490413 1
1.0%
19490412 1
1.0%
19490411 1
1.0%
19490410 1
1.0%
19490409 1
1.0%
19490408 1
1.0%
19490407 1
1.0%
19490406 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

2023-12-10T21:01:52.131028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T21:01:52.260788image/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

2023-12-10T21:01:52.411288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T21:01:52.529586image/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

2023-12-10T21:01:52.666541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T21:01:52.805606image/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

2023-12-10T21:01:52.938422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T21:01:53.067969image/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

2023-12-10T21:01:53.203219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T21:01:53.317479image/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

2023-12-10T21:01:53.759987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T21:01:53.929921image/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

2023-12-10T21:01:54.106891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T21:01:54.214555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
9999.9 100
100.0%

Interactions

2023-12-10T21:01:50.272423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-12-10T21:01:50.448868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T21:01:50.705037image/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)
012374617660PU1949010799.999999.99999.99999.99999.9999.99999.9
112374617660PU1949010899.999999.99999.99999.99999.9999.99999.9
212374617660PU1949010999.999999.99999.99999.99999.9999.99999.9
312374617660PU1949011099.999999.99999.99999.99999.9999.99999.9
412374617660PU1949011199.999999.99999.99999.99999.9999.99999.9
512374617660PU1949011299.999999.99999.99999.99999.9999.99999.9
612374617660PU1949011399.999999.99999.99999.99999.9999.99999.9
712374617660PU1949011499.999999.99999.99999.99999.9999.99999.9
812374617660PU1949011599.999999.99999.99999.99999.9999.99999.9
912374617660PU1949011699.999999.99999.99999.99999.9999.99999.9
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)
9012374617660PU1949040799.999999.99999.99999.99999.9999.99999.9
9112374617660PU1949040899.999999.99999.99999.99999.9999.99999.9
9212374617660PU1949040999.999999.99999.99999.99999.9999.99999.9
9312374617660PU1949041099.999999.99999.99999.99999.9999.99999.9
9412374617660PU1949041199.999999.99999.99999.99999.9999.99999.9
9512374617660PU1949041299.999999.99999.99999.99999.9999.99999.9
9612374617660PU1949041399.999999.99999.99999.99999.9999.99999.9
9712374617660PU1949041499.999999.99999.99999.99999.9999.99999.9
9812374617660PU1949041599.999999.99999.99999.99999.9999.99999.9
9912374617660PU1949010699.999999.99999.99999.99999.9999.99999.9