Overview

Dataset statistics

Number of variables9
Number of observations100
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.9 KiB
Average record size in memory81.3 B

Variable types

Categorical7
Numeric2

Dataset

Description샘플 데이터
Author한국기상산업기술원
URLhttps://www.bigdata-environment.kr/user/data_market/detail.do?id=dd2e6e20-a066-11ee-a443-a7e161ec5b2c

Alerts

예보발표일자 has constant value ""Constant
경도 격자점 has constant value ""Constant
위도 격자점 has constant value ""Constant
초미세먼지등급 has constant value ""Constant
예보시각 is highly overall correlated with 기온High correlation
기온 is highly overall correlated with 예보시각 and 1 other fieldsHigh correlation
예보일 is highly overall correlated with 기온High correlation
예보시각 has 4 (4.0%) zerosZeros

Reproduction

Analysis started2024-03-13 11:43:14.747151
Analysis finished2024-03-13 11:43:17.238582
Duration2.49 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

예보발표일자
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
20231208
100 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row20231208
2nd row20231208
3rd row20231208
4th row20231208
5th row20231208

Common Values

ValueCountFrequency (%)
20231208 100
100.0%

Length

2024-03-13T20:43:17.298314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T20:43:17.378290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20231208 100
100.0%
Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
0
64 
100
36 

Length

Max length3
Median length1
Mean length1.72
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 64
64.0%
100 36
36.0%

Length

2024-03-13T20:43:17.495414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T20:43:17.603873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 64
64.0%
100 36
36.0%

경도 격자점
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
60
100 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row60
2nd row60
3rd row60
4th row60
5th row60

Common Values

ValueCountFrequency (%)
60 100
100.0%

Length

2024-03-13T20:43:17.693078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T20:43:17.777327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
60 100
100.0%

위도 격자점
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
127
100 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row127
2nd row127
3rd row127
4th row127
5th row127

Common Values

ValueCountFrequency (%)
127 100
100.0%

Length

2024-03-13T20:43:17.882398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T20:43:17.974199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
127 100
100.0%

예보일
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
20231208
47 
20231209
37 
20231210
16 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row20231208
2nd row20231208
3rd row20231208
4th row20231208
5th row20231208

Common Values

ValueCountFrequency (%)
20231208 47
47.0%
20231209 37
37.0%
20231210 16
 
16.0%

Length

2024-03-13T20:43:18.090861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T20:43:18.196681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20231208 47
47.0%
20231209 37
37.0%
20231210 16
 
16.0%

예보시각
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct24
Distinct (%)24.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1026
Minimum0
Maximum2300
Zeros4
Zeros (%)4.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-03-13T20:43:18.318955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile100
Q1500
median1000
Q31500
95-th percentile2200
Maximum2300
Range2300
Interquartile range (IQR)1000

Descriptive statistics

Standard deviation661.74242
Coefficient of variation (CV)0.64497312
Kurtosis-0.98961273
Mean1026
Median Absolute Deviation (MAD)500
Skewness0.26921315
Sum102600
Variance437903.03
MonotonicityNot monotonic
2024-03-13T20:43:18.450192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
1200 5
 
5.0%
200 5
 
5.0%
300 5
 
5.0%
400 5
 
5.0%
500 5
 
5.0%
600 5
 
5.0%
700 5
 
5.0%
800 5
 
5.0%
900 5
 
5.0%
1000 5
 
5.0%
Other values (14) 50
50.0%
ValueCountFrequency (%)
0 4
4.0%
100 5
5.0%
200 5
5.0%
300 5
5.0%
400 5
5.0%
500 5
5.0%
600 5
5.0%
700 5
5.0%
800 5
5.0%
900 5
5.0%
ValueCountFrequency (%)
2300 3
3.0%
2200 3
3.0%
2100 3
3.0%
2000 3
3.0%
1900 3
3.0%
1800 3
3.0%
1700 3
3.0%
1600 3
3.0%
1500 4
4.0%
1400 4
4.0%

날씨
Categorical

Distinct3
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
맑음
58 
구름조금
30 
흐림
12 

Length

Max length4
Median length2
Mean length2.6
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
맑음 58
58.0%
구름조금 30
30.0%
흐림 12
 
12.0%

Length

2024-03-13T20:43:18.610230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T20:43:18.732521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
맑음 58
58.0%
구름조금 30
30.0%
흐림 12
 
12.0%

기온
Real number (ℝ)

HIGH CORRELATION 

Distinct66
Distinct (%)66.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.233576
Minimum2.7748
Maximum16.0366
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-03-13T20:43:18.870610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.7748
5-th percentile4.27676
Q16.7246
median11.0454
Q312.60265
95-th percentile15.959
Maximum16.0366
Range13.2618
Interquartile range (IQR)5.87805

Descriptive statistics

Standard deviation3.5337463
Coefficient of variation (CV)0.34530904
Kurtosis-0.82280712
Mean10.233576
Median Absolute Deviation (MAD)2.1815
Skewness-0.35188018
Sum1023.3576
Variance12.487363
MonotonicityNot monotonic
2024-03-13T20:43:19.041170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10.6988 2
 
2.0%
13.7244 2
 
2.0%
12.619 2
 
2.0%
12.5532 2
 
2.0%
11.7304 2
 
2.0%
12.554 2
 
2.0%
11.6698 2
 
2.0%
11.5528 2
 
2.0%
11.4208 2
 
2.0%
10.6584 2
 
2.0%
Other values (56) 80
80.0%
ValueCountFrequency (%)
2.7748 1
1.0%
2.797 1
1.0%
3.5038 1
1.0%
3.5362 1
1.0%
3.9758 1
1.0%
4.2926 1
1.0%
4.3168 1
1.0%
4.37 1
1.0%
4.698 1
1.0%
4.956 1
1.0%
ValueCountFrequency (%)
16.0366 2
2.0%
16.0364 2
2.0%
15.959 2
2.0%
15.139 2
2.0%
15.0168 2
2.0%
14.7776 2
2.0%
13.8874 1
1.0%
13.7244 2
2.0%
13.7104 1
1.0%
13.251 2
2.0%

초미세먼지등급
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2
100 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row2
3rd row2
4th row2
5th row2

Common Values

ValueCountFrequency (%)
2 100
100.0%

Length

2024-03-13T20:43:19.270980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T20:43:19.373691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 100
100.0%

Interactions

2024-03-13T20:43:16.704538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T20:43:16.352304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T20:43:16.783594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T20:43:16.482275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-13T20:43:19.443116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
예보발표시각예보일예보시각날씨기온
예보발표시각1.0000.1990.0000.1250.000
예보일0.1991.0000.0000.6360.768
예보시각0.0000.0001.0000.5650.807
날씨0.1250.6360.5651.0000.576
기온0.0000.7680.8070.5761.000
2024-03-13T20:43:19.585383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
예보발표시각예보일날씨
예보발표시각1.0000.3240.205
예보일0.3241.0000.300
날씨0.2050.3001.000
2024-03-13T20:43:19.700865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
예보시각기온예보발표시각예보일날씨
예보시각1.0000.6000.0000.0000.392
기온0.6001.0000.0000.6220.403
예보발표시각0.0000.0001.0000.3240.205
예보일0.0000.6220.3241.0000.300
날씨0.3920.4030.2050.3001.000

Missing values

2024-03-13T20:43:16.987764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-13T20:43:17.150509image/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

예보발표일자예보발표시각경도 격자점위도 격자점예보일예보시각날씨기온초미세먼지등급
020231208060127202312080맑음4.9562
12023120806012720231208100맑음5.73962
22023120806012720231208200맑음5.72482
32023120806012720231208300맑음6.54462
42023120806012720231208400맑음6.5562
52023120806012720231208500맑음6.6112
62023120806012720231208600맑음6.67362
72023120806012720231208700맑음6.72462
82023120806012720231208800구름조금7.60742
92023120806012720231208900구름조금8.8882
예보발표일자예보발표시각경도 격자점위도 격자점예보일예보시각날씨기온초미세먼지등급
90202312081006012720231209300흐림11.42082
91202312081006012720231209400흐림10.65842
92202312081006012720231209500구름조금10.682
93202312081006012720231209600구름조금10.67622
94202312081006012720231209700구름조금10.67422
95202312081006012720231209800맑음9.86722
96202312081006012720231209900맑음10.69882
972023120810060127202312091000맑음11.54882
982023120810060127202312091100맑음11.64242
992023120810060127202312091200맑음12.5572