Overview

Dataset statistics

Number of variables7
Number of observations365
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory21.9 KiB
Average record size in memory61.4 B

Variable types

Numeric5
DateTime1
Categorical1

Dataset

Description한국서부발전의 서인천발전소 주변 기상정보입니다. 제공데이터는 일별 처리일시,온도,습도,기압,풍향,풍속,강수량 정보 입니다.
URLhttps://www.data.go.kr/data/15090251/fileData.do

Alerts

온도(섭씨) is highly overall correlated with 습도(퍼센트) and 1 other fieldsHigh correlation
습도(퍼센트) is highly overall correlated with 온도(섭씨) and 1 other fieldsHigh correlation
기압(hPa) is highly overall correlated with 온도(섭씨) and 1 other fieldsHigh correlation
순번 has unique valuesUnique
측정일시 has unique valuesUnique

Reproduction

Analysis started2023-12-12 21:58:59.577829
Analysis finished2023-12-12 21:59:02.597814
Duration3.02 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct365
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean183
Minimum1
Maximum365
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2023-12-13T06:59:02.677957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile19.2
Q192
median183
Q3274
95-th percentile346.8
Maximum365
Range364
Interquartile range (IQR)182

Descriptive statistics

Standard deviation105.51066
Coefficient of variation (CV)0.576561
Kurtosis-1.2
Mean183
Median Absolute Deviation (MAD)91
Skewness0
Sum66795
Variance11132.5
MonotonicityStrictly increasing
2023-12-13T06:59:02.831807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
252 1
 
0.3%
250 1
 
0.3%
249 1
 
0.3%
248 1
 
0.3%
247 1
 
0.3%
246 1
 
0.3%
245 1
 
0.3%
244 1
 
0.3%
243 1
 
0.3%
Other values (355) 355
97.3%
ValueCountFrequency (%)
1 1
0.3%
2 1
0.3%
3 1
0.3%
4 1
0.3%
5 1
0.3%
6 1
0.3%
7 1
0.3%
8 1
0.3%
9 1
0.3%
10 1
0.3%
ValueCountFrequency (%)
365 1
0.3%
364 1
0.3%
363 1
0.3%
362 1
0.3%
361 1
0.3%
360 1
0.3%
359 1
0.3%
358 1
0.3%
357 1
0.3%
356 1
0.3%

측정일시
Date

UNIQUE 

Distinct365
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
Minimum2022-08-01 00:00:00
Maximum2023-07-31 00:00:00
2023-12-13T06:59:03.006821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:59:03.177957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

온도(섭씨)
Real number (ℝ)

HIGH CORRELATION 

Distinct338
Distinct (%)92.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.975753
Minimum-13.74
Maximum28.78
Zeros0
Zeros (%)0.0%
Negative46
Negative (%)12.6%
Memory size3.3 KiB
2023-12-13T06:59:03.388713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-13.74
5-th percentile-4.308
Q14.89
median13.65
Q321.71
95-th percentile26.52
Maximum28.78
Range42.52
Interquartile range (IQR)16.82

Descriptive statistics

Standard deviation10.01047
Coefficient of variation (CV)0.77147508
Kurtosis-0.87388578
Mean12.975753
Median Absolute Deviation (MAD)8.33
Skewness-0.36518895
Sum4736.15
Variance100.20952
MonotonicityNot monotonic
2023-12-13T06:59:03.557643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12.86 3
 
0.8%
26.52 3
 
0.8%
2.7 3
 
0.8%
4.89 2
 
0.5%
21.98 2
 
0.5%
20.0 2
 
0.5%
25.82 2
 
0.5%
20.32 2
 
0.5%
17.02 2
 
0.5%
23.63 2
 
0.5%
Other values (328) 342
93.7%
ValueCountFrequency (%)
-13.74 1
0.3%
-11.52 1
0.3%
-10.85 1
0.3%
-9.05 1
0.3%
-8.86 1
0.3%
-7.74 1
0.3%
-6.85 1
0.3%
-6.8 1
0.3%
-6.67 1
0.3%
-6.41 1
0.3%
ValueCountFrequency (%)
28.78 1
0.3%
28.63 1
0.3%
28.44 1
0.3%
28.4 1
0.3%
28.37 1
0.3%
28.22 1
0.3%
27.84 1
0.3%
27.83 1
0.3%
27.7 1
0.3%
27.64 1
0.3%

습도(퍼센트)
Real number (ℝ)

HIGH CORRELATION 

Distinct323
Distinct (%)88.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean69.801562
Minimum18
Maximum100.83
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2023-12-13T06:59:03.703985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum18
5-th percentile43.852
Q160.54
median71.96
Q379.75
95-th percentile91.998
Maximum100.83
Range82.83
Interquartile range (IQR)19.21

Descriptive statistics

Standard deviation14.409008
Coefficient of variation (CV)0.20642817
Kurtosis-0.12830787
Mean69.801562
Median Absolute Deviation (MAD)9.87
Skewness-0.40885747
Sum25477.57
Variance207.61953
MonotonicityNot monotonic
2023-12-13T06:59:03.853488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
79.0 3
 
0.8%
75.63 3
 
0.8%
73.79 3
 
0.8%
79.58 3
 
0.8%
79.75 2
 
0.5%
73.38 2
 
0.5%
61.38 2
 
0.5%
73.29 2
 
0.5%
80.13 2
 
0.5%
76.04 2
 
0.5%
Other values (313) 341
93.4%
ValueCountFrequency (%)
18.0 1
0.3%
33.92 1
0.3%
34.25 1
0.3%
35.29 1
0.3%
36.33 1
0.3%
37.0 1
0.3%
37.25 1
0.3%
37.75 1
0.3%
38.46 1
0.3%
39.54 1
0.3%
ValueCountFrequency (%)
100.83 1
0.3%
98.5 1
0.3%
97.46 1
0.3%
97.38 1
0.3%
96.5 1
0.3%
96.21 1
0.3%
95.75 1
0.3%
95.08 1
0.3%
95.04 1
0.3%
94.83 1
0.3%

기압(hPa)
Real number (ℝ)

HIGH CORRELATION 

Distinct286
Distinct (%)78.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1013.9604
Minimum992.25
Maximum1034
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2023-12-13T06:59:04.022783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum992.25
5-th percentile1000.726
Q11007.29
median1014.29
Q31020.54
95-th percentile1027.862
Maximum1034
Range41.75
Interquartile range (IQR)13.25

Descriptive statistics

Standard deviation8.4693274
Coefficient of variation (CV)0.0083527197
Kurtosis-0.82469688
Mean1013.9604
Median Absolute Deviation (MAD)6.67
Skewness-0.059442899
Sum370095.56
Variance71.729506
MonotonicityNot monotonic
2023-12-13T06:59:04.200235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1007.58 4
 
1.1%
1021.92 3
 
0.8%
1014.29 3
 
0.8%
1013.75 3
 
0.8%
1005.88 3
 
0.8%
1008.29 3
 
0.8%
1012.92 3
 
0.8%
1021.17 3
 
0.8%
1012.42 3
 
0.8%
1015.42 3
 
0.8%
Other values (276) 334
91.5%
ValueCountFrequency (%)
992.25 1
0.3%
995.0 1
0.3%
997.25 2
0.5%
997.42 1
0.3%
997.75 1
0.3%
998.17 1
0.3%
998.38 1
0.3%
998.88 1
0.3%
998.96 1
0.3%
999.0 1
0.3%
ValueCountFrequency (%)
1034.0 1
0.3%
1032.04 1
0.3%
1031.67 1
0.3%
1030.0 2
0.5%
1029.63 1
0.3%
1029.58 1
0.3%
1029.33 2
0.5%
1029.21 1
0.3%
1028.33 1
0.3%
1028.29 2
0.5%

풍향(MW)
Categorical

Distinct12
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
서북서
175 
북서
103 
서
40 
남남서
 
15
서남서
 
7
Other values (7)
25 

Length

Max length3
Median length3
Mean length2.4164384
Min length1

Unique

Unique3 ?
Unique (%)0.8%

Sample

1st row서남서
2nd row서
3rd row서북서
4th row서북서
5th row서북서

Common Values

ValueCountFrequency (%)
서북서 175
47.9%
북서 103
28.2%
서 40
 
11.0%
남남서 15
 
4.1%
서남서 7
 
1.9%
남서 7
 
1.9%
남동 7
 
1.9%
남 6
 
1.6%
북 2
 
0.5%
북북동 1
 
0.3%
Other values (2) 2
 
0.5%

Length

2023-12-13T06:59:04.346390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
서북서 175
47.9%
북서 103
28.2%
서 40
 
11.0%
남남서 15
 
4.1%
서남서 7
 
1.9%
남서 7
 
1.9%
남동 7
 
1.9%
남 6
 
1.6%
북 2
 
0.5%
북북동 1
 
0.3%
Other values (2) 2
 
0.5%

풍속(m_s)
Real number (ℝ)

Distinct220
Distinct (%)60.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.7472877
Minimum0.92
Maximum7.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2023-12-13T06:59:04.494463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.92
5-th percentile1.492
Q12.01
median2.51
Q33.19
95-th percentile4.83
Maximum7.2
Range6.28
Interquartile range (IQR)1.18

Descriptive statistics

Standard deviation1.0619441
Coefficient of variation (CV)0.38654275
Kurtosis2.6625887
Mean2.7472877
Median Absolute Deviation (MAD)0.55
Skewness1.4305719
Sum1002.76
Variance1.1277253
MonotonicityNot monotonic
2023-12-13T06:59:04.674992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.59 6
 
1.6%
2.28 5
 
1.4%
2.47 5
 
1.4%
2.49 5
 
1.4%
2.14 4
 
1.1%
2.15 4
 
1.1%
2.51 4
 
1.1%
1.92 4
 
1.1%
2.39 4
 
1.1%
2.78 4
 
1.1%
Other values (210) 320
87.7%
ValueCountFrequency (%)
0.92 1
0.3%
1.0 1
0.3%
1.01 1
0.3%
1.08 1
0.3%
1.1 1
0.3%
1.13 2
0.5%
1.17 1
0.3%
1.32 1
0.3%
1.35 1
0.3%
1.37 1
0.3%
ValueCountFrequency (%)
7.2 1
0.3%
6.92 1
0.3%
6.78 1
0.3%
6.53 1
0.3%
6.32 1
0.3%
6.21 1
0.3%
6.11 1
0.3%
5.86 1
0.3%
5.82 1
0.3%
5.77 1
0.3%

Interactions

2023-12-13T06:59:01.914557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:58:59.798642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:59:00.238957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:59:00.909344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:59:01.471392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:59:02.008518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:58:59.877717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:59:00.328612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:59:01.064522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:59:01.559523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:59:02.089473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:58:59.960073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:59:00.461892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:59:01.176855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:59:01.642855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:59:02.181017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:59:00.052271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:59:00.598518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:59:01.272556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:59:01.739324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:59:02.277238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:59:00.133868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:59:00.731898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:59:01.366546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:59:01.832793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T06:59:04.817167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번온도(섭씨)습도(퍼센트)기압(hPa)풍향(MW)풍속(m_s)
순번1.0000.8850.5840.7660.4410.309
온도(섭씨)0.8851.0000.5300.7620.3150.461
습도(퍼센트)0.5840.5301.0000.5930.3390.324
기압(hPa)0.7660.7620.5931.0000.0000.146
풍향(MW)0.4410.3150.3390.0001.0000.273
풍속(m_s)0.3090.4610.3240.1460.2731.000
2023-12-13T06:59:04.942661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번온도(섭씨)습도(퍼센트)기압(hPa)풍속(m_s)풍향(MW)
순번1.0000.0880.082-0.220-0.1530.201
온도(섭씨)0.0881.0000.519-0.803-0.0310.137
습도(퍼센트)0.0820.5191.000-0.590-0.1720.148
기압(hPa)-0.220-0.803-0.5901.000-0.0950.006
풍속(m_s)-0.153-0.031-0.172-0.0951.0000.117
풍향(MW)0.2010.1370.1480.0060.1171.000

Missing values

2023-12-13T06:59:02.424011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T06:59:02.550738image/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

순번측정일시온도(섭씨)습도(퍼센트)기압(hPa)풍향(MW)풍속(m_s)
012022-08-0128.4479.01001.79서남서3.43
122022-08-0225.9692.131004.79서4.2
232022-08-0326.5291.421007.21서북서3.23
342022-08-0427.6484.791006.67서북서1.89
452022-08-0527.8485.751002.71서북서2.6
562022-08-0627.788.671001.96서북서2.25
672022-08-0728.2285.421002.58서2.42
782022-08-0826.8391.711002.21서북서3.1
892022-08-0924.4596.51002.54서북서2.49
9102022-08-1023.5983.01003.33서북서2.87
순번측정일시온도(섭씨)습도(퍼센트)기압(hPa)풍향(MW)풍속(m_s)
3553562023-07-2227.2773.251008.29서남서3.61
3563572023-07-2324.6993.751004.63서북서2.24
3573582023-07-2425.6986.251005.88서북서2.41
3583592023-07-2526.384.881009.5서북서2.55
3593602023-07-2627.1382.951011.76서북서2.48
3603612023-07-2728.6375.361011.18북서2.47
3613622023-07-2828.476.631011.29북서2.97
3623632023-07-2928.3775.01011.79북서2.51
3633642023-07-3028.7870.631010.58북서2.66
3643652023-07-3127.8379.081010.17북서2.04