Overview

Dataset statistics

Number of variables6
Number of observations100
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.4 KiB
Average record size in memory55.3 B

Variable types

Categorical2
Numeric4

Alerts

연도 has constant value ""Constant
최고기온 is highly overall correlated with 최저기온High correlation
최저기온 is highly overall correlated with 최고기온High correlation
강수량 has 67 (67.0%) zerosZeros

Reproduction

Analysis started2023-12-10 11:11:08.210421
Analysis finished2023-12-10 11:11:11.032860
Duration2.82 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연도
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
1981
100 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1981
2nd row1981
3rd row1981
4th row1981
5th row1981

Common Values

ValueCountFrequency (%)
1981 100
100.0%

Length

2023-12-10T20:11:11.142598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:11:11.298527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1981 100
100.0%


Categorical

Distinct4
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
1
31 
3
31 
2
28 
4
10 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 31
31.0%
3 31
31.0%
2 28
28.0%
4 10
 
10.0%

Length

2023-12-10T20:11:11.451063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:11:11.598017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 31
31.0%
3 31
31.0%
2 28
28.0%
4 10
 
10.0%


Real number (ℝ)

Distinct31
Distinct (%)31.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.53
Minimum1
Maximum31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:11:11.779472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q17
median14
Q322
95-th percentile29
Maximum31
Range30
Interquartile range (IQR)15

Descriptive statistics

Standard deviation8.8870067
Coefficient of variation (CV)0.61163157
Kurtosis-1.2002711
Mean14.53
Median Absolute Deviation (MAD)8
Skewness0.18074292
Sum1453
Variance78.978889
MonotonicityNot monotonic
2023-12-10T20:11:11.948682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
1 4
 
4.0%
7 4
 
4.0%
2 4
 
4.0%
9 4
 
4.0%
8 4
 
4.0%
10 4
 
4.0%
6 4
 
4.0%
5 4
 
4.0%
4 4
 
4.0%
3 4
 
4.0%
Other values (21) 60
60.0%
ValueCountFrequency (%)
1 4
4.0%
2 4
4.0%
3 4
4.0%
4 4
4.0%
5 4
4.0%
6 4
4.0%
7 4
4.0%
8 4
4.0%
9 4
4.0%
10 4
4.0%
ValueCountFrequency (%)
31 2
2.0%
30 2
2.0%
29 2
2.0%
28 3
3.0%
27 3
3.0%
26 3
3.0%
25 3
3.0%
24 3
3.0%
23 3
3.0%
22 3
3.0%

강수량
Real number (ℝ)

ZEROS 

Distinct28
Distinct (%)28.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.4994375
Minimum0
Maximum65.345471
Zeros67
Zeros (%)67.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:11:12.119353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.3
95-th percentile12.77185
Maximum65.345471
Range65.345471
Interquartile range (IQR)0.3

Descriptive statistics

Standard deviation8.4220052
Coefficient of variation (CV)3.3695603
Kurtosis33.819695
Mean2.4994375
Median Absolute Deviation (MAD)0
Skewness5.3434272
Sum249.94375
Variance70.930172
MonotonicityNot monotonic
2023-12-10T20:11:12.265726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
0.0 67
67.0%
0.2 5
 
5.0%
0.3 3
 
3.0%
1.2 1
 
1.0%
1.49520687645688 1
 
1.0%
1.7675752804566 1
 
1.0%
10.2455322168606 1
 
1.0%
2.42885906040269 1
 
1.0%
9.50903225806451 1
 
1.0%
32.3483928972803 1
 
1.0%
Other values (18) 18
 
18.0%
ValueCountFrequency (%)
0.0 67
67.0%
0.1 1
 
1.0%
0.2 5
 
5.0%
0.283560895685418 1
 
1.0%
0.3 3
 
3.0%
0.313223819301849 1
 
1.0%
0.4 1
 
1.0%
0.930523917995443 1
 
1.0%
1.2 1
 
1.0%
1.49520687645688 1
 
1.0%
ValueCountFrequency (%)
65.3454710947115 1
1.0%
32.3483928972803 1
1.0%
32.0214244161487 1
1.0%
20.5882768361582 1
1.0%
13.5060151699283 1
1.0%
12.7332099903616 1
1.0%
11.450068394661 1
1.0%
10.2455322168606 1
1.0%
9.70753351071843 1
1.0%
9.50903225806451 1
1.0%

최고기온
Real number (ℝ)

HIGH CORRELATION 

Distinct99
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.5136316
Minimum-18.563646
Maximum16.709695
Zeros0
Zeros (%)0.0%
Negative69
Negative (%)69.0%
Memory size1.0 KiB
2023-12-10T20:11:12.420333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-18.563646
5-th percentile-12.509697
Q1-6.0081901
median-2.375843
Q32.3507334
95-th percentile11.296794
Maximum16.709695
Range35.27334
Interquartile range (IQR)8.3589235

Descriptive statistics

Standard deviation7.4753683
Coefficient of variation (CV)-4.9386972
Kurtosis-0.095632054
Mean-1.5136316
Median Absolute Deviation (MAD)4.2090797
Skewness0.41765596
Sum-151.36316
Variance55.881131
MonotonicityNot monotonic
2023-12-10T20:11:12.605996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-2.5 2
 
2.0%
-10.4047754546579 1
 
1.0%
-3.29853027261073 1
 
1.0%
11.8760912525843 1
 
1.0%
8.91821800947868 1
 
1.0%
5.38688576394375 1
 
1.0%
0.85054347826087 1
 
1.0%
-1.01048829431438 1
 
1.0%
-2.99146222878015 1
 
1.0%
-2.33087318685592 1
 
1.0%
Other values (89) 89
89.0%
ValueCountFrequency (%)
-18.5636458149 1
1.0%
-14.2 1
1.0%
-13.9665254021851 1
1.0%
-13.2001039639002 1
1.0%
-12.933134994811 1
1.0%
-12.4874107626188 1
1.0%
-11.8564133247759 1
1.0%
-11.805558812182 1
1.0%
-11.7694254777334 1
1.0%
-11.6543309476883 1
1.0%
ValueCountFrequency (%)
16.7096946626711 1
1.0%
16.3567665030552 1
1.0%
16.044977239581 1
1.0%
14.9555928135258 1
1.0%
11.8760912525843 1
1.0%
11.2663042532835 1
1.0%
10.6774868611336 1
1.0%
10.6238523335884 1
1.0%
10.2143570057582 1
1.0%
9.69641238847106 1
1.0%

최저기온
Real number (ℝ)

HIGH CORRELATION 

Distinct99
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-13.072982
Minimum-26.5
Maximum3.6123397
Zeros0
Zeros (%)0.0%
Negative97
Negative (%)97.0%
Memory size1.0 KiB
2023-12-10T20:11:12.864299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-26.5
5-th percentile-24.44688
Q1-18.199046
median-12.973995
Q3-6.9983264
95-th percentile-2.2572787
Maximum3.6123397
Range30.11234
Interquartile range (IQR)11.20072

Descriptive statistics

Standard deviation7.2278625
Coefficient of variation (CV)-0.55288551
Kurtosis-0.94778139
Mean-13.072982
Median Absolute Deviation (MAD)5.7851813
Skewness0.097681438
Sum-1307.2982
Variance52.241996
MonotonicityNot monotonic
2023-12-10T20:11:13.404484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-15.0992568278937 2
 
2.0%
-19.8788438196271 1
 
1.0%
-17.5043307541287 1
 
1.0%
-2.53791390728477 1
 
1.0%
-2.79418839808409 1
 
1.0%
-4.4 1
 
1.0%
-6.01991361088136 1
 
1.0%
-8.54192352711666 1
 
1.0%
-9.41803158813263 1
 
1.0%
-8.83824240444299 1
 
1.0%
Other values (89) 89
89.0%
ValueCountFrequency (%)
-26.5 1
1.0%
-26.3255794289183 1
1.0%
-25.0 1
1.0%
-24.9003115569202 1
1.0%
-24.7281224279642 1
1.0%
-24.4320779606363 1
1.0%
-24.4290570987248 1
1.0%
-24.0605119455208 1
1.0%
-22.9881059669351 1
1.0%
-22.9061318744601 1
1.0%
ValueCountFrequency (%)
3.61233967815372 1
1.0%
0.538651855592022 1
1.0%
0.243051956907133 1
1.0%
-0.688653648509765 1
1.0%
-2.15285489785228 1
1.0%
-2.26277463904582 1
1.0%
-2.33854650232111 1
1.0%
-2.53791390728477 1
1.0%
-2.79418839808409 1
1.0%
-4.02143095582508 1
1.0%

Interactions

2023-12-10T20:11:10.224130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:11:08.448601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:11:09.019053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:11:09.660600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:11:10.351390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:11:08.585101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:11:09.215722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:11:09.812181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:11:10.507185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:11:08.725396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:11:09.364357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:11:09.945666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:11:10.663118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:11:08.874875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:11:09.524260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:11:10.080238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T20:11:13.549873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
강수량최고기온최저기온
1.0000.0000.0000.6490.695
0.0001.0000.3260.4570.672
강수량0.0000.3261.0000.0000.498
최고기온0.6490.4570.0001.0000.866
최저기온0.6950.6720.4980.8661.000
2023-12-10T20:11:13.750254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
강수량최고기온최저기온
1.0000.1370.1340.1290.000
강수량0.1371.0000.1640.0140.000
최고기온0.1340.1641.0000.8620.434
최저기온0.1290.0140.8621.0000.480
0.0000.0000.4340.4801.000

Missing values

2023-12-10T20:11:10.819450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T20:11:10.969879image/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

연도강수량최고기온최저기온
01981111.2-10.404775-19.878844
11981120.0-5.082332-17.1653
21981130.0-2.980253-11.815901
31981140.0-2.451812-10.894422
41981150.2-0.762354-7.088829
51981160.0-2.096662-26.5
61981172.618281-18.563646-26.325579
71981180.0-10.291982-22.303286
81981190.0-4.137007-16.692355
919811100.0-4.179163-11.413148
연도강수량최고기온최저기온
901981410.00.520052-5.323093
911981420.010.677487-4.759014
921981430.016.709695-6.931507
931981440.03.632891-7.194986
941981450.016.044977-0.688654
9519814610.24553216.3567670.243052
961981470.09.696412-2.262775
971981480.08.09683-2.152855
981981491.76757511.266304-12.4
9919814100.0-1.5-11.748171