Overview

Dataset statistics

Number of variables9
Number of observations533
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory40.7 KiB
Average record size in memory78.2 B

Variable types

Numeric4
DateTime1
Categorical4

Dataset

Description한국서부발전의 태안발전소 주변 기상정보입니다. 제공데이터는 일별 처리일시,온도,습도,기압,풍향,풍속,강수량 정보 입니다.
URLhttps://www.data.go.kr/data/15090248/fileData.do

Alerts

기압(hPa) has constant value ""Constant
강수량(mm) has constant value ""Constant
순번 is highly overall correlated with 습도(퍼센트) and 1 other fieldsHigh correlation
습도(퍼센트) is highly overall correlated with 순번 and 2 other fieldsHigh correlation
풍속(m_s) is highly overall correlated with 습도(퍼센트) and 1 other fieldsHigh correlation
위치 is highly overall correlated with 순번 and 2 other fieldsHigh correlation
순번 has unique valuesUnique
습도(퍼센트) has 361 (67.7%) zerosZeros
풍속(m_s) has 262 (49.2%) zerosZeros

Reproduction

Analysis started2023-12-12 09:49:45.240197
Analysis finished2023-12-12 09:49:47.301840
Duration2.06 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct533
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean267
Minimum1
Maximum533
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-12-12T18:49:47.379089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile27.6
Q1134
median267
Q3400
95-th percentile506.4
Maximum533
Range532
Interquartile range (IQR)266

Descriptive statistics

Standard deviation154.00812
Coefficient of variation (CV)0.57680943
Kurtosis-1.2
Mean267
Median Absolute Deviation (MAD)133
Skewness0
Sum142311
Variance23718.5
MonotonicityStrictly increasing
2023-12-12T18:49:47.526736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
352 1
 
0.2%
366 1
 
0.2%
365 1
 
0.2%
364 1
 
0.2%
363 1
 
0.2%
362 1
 
0.2%
361 1
 
0.2%
360 1
 
0.2%
359 1
 
0.2%
Other values (523) 523
98.1%
ValueCountFrequency (%)
1 1
0.2%
2 1
0.2%
3 1
0.2%
4 1
0.2%
5 1
0.2%
6 1
0.2%
7 1
0.2%
8 1
0.2%
9 1
0.2%
10 1
0.2%
ValueCountFrequency (%)
533 1
0.2%
532 1
0.2%
531 1
0.2%
530 1
0.2%
529 1
0.2%
528 1
0.2%
527 1
0.2%
526 1
0.2%
525 1
0.2%
524 1
0.2%

측정일시
Date

Distinct364
Distinct (%)68.3%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
Minimum2022-08-01 00:00:00
Maximum2023-07-31 00:00:00
2023-12-12T18:49:47.674278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:49:47.822406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

위치
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
1부두
361 
정문팔각정
172 

Length

Max length5
Median length3
Mean length3.6454034
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1부두 361
67.7%
정문팔각정 172
32.3%

Length

2023-12-12T18:49:48.009327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:49:48.147226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1부두 361
67.7%
정문팔각정 172
32.3%

온도(섭씨)
Real number (ℝ)

Distinct259
Distinct (%)48.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.713696
Minimum-11
Maximum28.6
Zeros0
Zeros (%)0.0%
Negative68
Negative (%)12.8%
Memory size4.8 KiB
2023-12-12T18:49:48.606013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-11
5-th percentile-2.84
Q13
median10.5
Q318.1
95-th percentile25.44
Maximum28.6
Range39.6
Interquartile range (IQR)15.1

Descriptive statistics

Standard deviation9.2142022
Coefficient of variation (CV)0.86003954
Kurtosis-1.0027131
Mean10.713696
Median Absolute Deviation (MAD)7.6
Skewness0.11653635
Sum5710.4
Variance84.901523
MonotonicityNot monotonic
2023-12-12T18:49:48.779439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12.0 6
 
1.1%
4.7 6
 
1.1%
12.5 5
 
0.9%
-0.5 5
 
0.9%
7.4 5
 
0.9%
2.2 5
 
0.9%
10.5 5
 
0.9%
4.4 5
 
0.9%
2.8 5
 
0.9%
22.4 5
 
0.9%
Other values (249) 481
90.2%
ValueCountFrequency (%)
-11.0 1
0.2%
-10.9 1
0.2%
-9.4 1
0.2%
-9.1 1
0.2%
-6.7 1
0.2%
-6.5 1
0.2%
-6.2 1
0.2%
-6.1 2
0.4%
-6.0 1
0.2%
-5.6 1
0.2%
ValueCountFrequency (%)
28.6 1
 
0.2%
28.5 1
 
0.2%
28.1 1
 
0.2%
27.9 1
 
0.2%
27.6 1
 
0.2%
27.5 1
 
0.2%
27.2 1
 
0.2%
27.1 3
0.6%
27.0 3
0.6%
26.7 1
 
0.2%

습도(퍼센트)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct142
Distinct (%)26.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.002251
Minimum0
Maximum99
Zeros361
Zeros (%)67.7%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-12-12T18:49:48.950075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q35.7
95-th percentile71.84
Maximum99
Range99
Interquartile range (IQR)5.7

Descriptive statistics

Standard deviation23.067823
Coefficient of variation (CV)2.0966457
Kurtosis3.7465204
Mean11.002251
Median Absolute Deviation (MAD)0
Skewness2.1915868
Sum5864.2
Variance532.12447
MonotonicityNot monotonic
2023-12-12T18:49:49.149199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 361
67.7%
1.0 16
 
3.0%
6.7 3
 
0.6%
49.0 2
 
0.4%
2.8 2
 
0.4%
1.7 2
 
0.4%
6.2 2
 
0.4%
1.8 2
 
0.4%
90.1 2
 
0.4%
7.7 2
 
0.4%
Other values (132) 139
 
26.1%
ValueCountFrequency (%)
0.0 361
67.7%
1.0 16
 
3.0%
1.3 1
 
0.2%
1.5 1
 
0.2%
1.7 2
 
0.4%
1.8 2
 
0.4%
1.9 1
 
0.2%
2.1 1
 
0.2%
2.2 2
 
0.4%
2.3 1
 
0.2%
ValueCountFrequency (%)
99.0 1
0.2%
93.3 1
0.2%
93.0 1
0.2%
91.5 1
0.2%
91.3 1
0.2%
90.1 2
0.4%
90.0 1
0.2%
89.0 1
0.2%
88.7 1
0.2%
87.6 1
0.2%

기압(hPa)
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
0
533 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 533
100.0%

Length

2023-12-12T18:49:49.282415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:49:49.372447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 533
100.0%

풍향(MW)
Categorical

Distinct15
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
북
224 
서북서
60 
북서
46 
남동
36 
남
29 
Other values (10)
138 

Length

Max length3
Median length1
Mean length1.750469
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row북
2nd row북
3rd row북
4th row동남동
5th row동남동

Common Values

ValueCountFrequency (%)
북 224
42.0%
서북서 60
 
11.3%
북서 46
 
8.6%
남동 36
 
6.8%
남 29
 
5.4%
서 25
 
4.7%
남남동 21
 
3.9%
북동 20
 
3.8%
북북서 18
 
3.4%
동남동 16
 
3.0%
Other values (5) 38
 
7.1%

Length

2023-12-12T18:49:49.485334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
북 224
42.0%
서북서 60
 
11.3%
북서 46
 
8.6%
남동 36
 
6.8%
남 29
 
5.4%
서 25
 
4.7%
남남동 21
 
3.9%
북동 20
 
3.8%
북북서 18
 
3.4%
동남동 16
 
3.0%
Other values (5) 38
 
7.1%

풍속(m_s)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct85
Distinct (%)15.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0684803
Minimum0
Maximum14.6
Zeros262
Zeros (%)49.2%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-12-12T18:49:49.645080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.7
Q33.5
95-th percentile6.94
Maximum14.6
Range14.6
Interquartile range (IQR)3.5

Descriptive statistics

Standard deviation2.6623279
Coefficient of variation (CV)1.2870936
Kurtosis2.3721087
Mean2.0684803
Median Absolute Deviation (MAD)0.7
Skewness1.4726454
Sum1102.5
Variance7.0879896
MonotonicityNot monotonic
2023-12-12T18:49:49.814120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 262
49.2%
2.8 11
 
2.1%
3.5 10
 
1.9%
2.4 9
 
1.7%
2.7 8
 
1.5%
4.1 8
 
1.5%
2.6 8
 
1.5%
3.0 8
 
1.5%
2.9 8
 
1.5%
5.7 7
 
1.3%
Other values (75) 194
36.4%
ValueCountFrequency (%)
0.0 262
49.2%
0.3 1
 
0.2%
0.4 1
 
0.2%
0.7 3
 
0.6%
0.8 3
 
0.6%
1.0 2
 
0.4%
1.1 2
 
0.4%
1.2 4
 
0.8%
1.3 2
 
0.4%
1.4 2
 
0.4%
ValueCountFrequency (%)
14.6 1
0.2%
14.0 1
0.2%
11.8 1
0.2%
11.7 1
0.2%
11.2 1
0.2%
11.0 1
0.2%
10.9 2
0.4%
10.8 1
0.2%
10.4 1
0.2%
10.1 1
0.2%

강수량(mm)
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
0
533 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 533
100.0%

Length

2023-12-12T18:49:49.964300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:49:50.062574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 533
100.0%

Interactions

2023-12-12T18:49:46.530762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:49:45.483497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:49:45.805165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:49:46.149701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:49:46.642290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:49:45.561741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:49:45.882807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:49:46.228945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:49:46.781851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:49:45.646765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:49:45.971940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:49:46.335433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:49:46.937293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:49:45.723931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:49:46.049739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:49:46.418263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T18:49:50.139266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번위치온도(섭씨)습도(퍼센트)풍향(MW)풍속(m_s)
순번1.0000.9980.8470.6570.5100.602
위치0.9981.0000.4900.9140.3730.810
온도(섭씨)0.8470.4901.0000.4160.3810.502
습도(퍼센트)0.6570.9140.4161.0000.0000.318
풍향(MW)0.5100.3730.3810.0001.0000.680
풍속(m_s)0.6020.8100.5020.3180.6801.000
2023-12-12T18:49:50.280668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
풍향(MW)위치
풍향(MW)1.0000.336
위치0.3361.000
2023-12-12T18:49:50.365520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번온도(섭씨)습도(퍼센트)풍속(m_s)위치풍향(MW)
순번1.0000.348-0.7740.4860.9510.215
온도(섭씨)0.3481.000-0.2860.3880.3740.153
습도(퍼센트)-0.774-0.2861.000-0.6320.7490.000
풍속(m_s)0.4860.388-0.6321.0000.6390.328
위치0.9510.3740.7490.6391.0000.336
풍향(MW)0.2150.1530.0000.3280.3361.000

Missing values

2023-12-12T18:49:47.096617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T18:49:47.235717image/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

순번측정일시위치온도(섭씨)습도(퍼센트)기압(hPa)풍향(MW)풍속(m_s)강수량(mm)
012022-11-15정문팔각정12.531.40북0.00
122022-11-16정문팔각정11.027.80북0.00
232022-11-17정문팔각정11.046.50북0.00
342022-11-18정문팔각정11.355.70동남동0.00
452022-11-19정문팔각정12.549.30동남동0.00
562022-11-20정문팔각정13.460.30북0.00
672022-11-21정문팔각정12.672.20서북서0.00
782022-11-22정문팔각정11.759.80북동0.00
892022-11-23정문팔각정11.425.20북서0.00
9102022-11-24정문팔각정10.749.00서북서0.00
순번측정일시위치온도(섭씨)습도(퍼센트)기압(hPa)풍향(MW)풍속(m_s)강수량(mm)
5235242023-07-221부두25.60.00북0.00
5245252023-07-231부두24.60.00북0.00
5255262023-07-241부두25.40.00서2.80
5265272023-07-251부두26.30.00북0.00
5275282023-07-261부두27.20.00서5.70
5285292023-07-271부두26.50.00북0.00
5295302023-07-281부두27.10.00북0.00
5305312023-07-291부두26.00.00북0.00
5315322023-07-301부두27.00.00북서3.80
5325332023-07-311부두25.70.00북0.00