Overview

Dataset statistics

Number of variables8
Number of observations31
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.3 KiB
Average record size in memory76.3 B

Variable types

Categorical2
Numeric6

Alerts

배출년도 has constant value ""Constant
배출월 has constant value ""Constant
배출요일 is highly overall correlated with 배출량(g) and 3 other fieldsHigh correlation
배출량(g) is highly overall correlated with 배출요일 and 3 other fieldsHigh correlation
배출량비율(%) is highly overall correlated with 배출요일 and 3 other fieldsHigh correlation
배출횟수 is highly overall correlated with 배출요일 and 3 other fieldsHigh correlation
배출횟수비율(%) is highly overall correlated with 배출요일 and 3 other fieldsHigh correlation
배출일 has unique valuesUnique
배출량(g) has unique valuesUnique
배출횟수 has unique valuesUnique

Reproduction

Analysis started2023-12-10 12:27:05.545052
Analysis finished2023-12-10 12:27:16.705134
Duration11.16 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

배출년도
Categorical

CONSTANT 

Distinct1
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size380.0 B
2021
31 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021
2nd row2021
3rd row2021
4th row2021
5th row2021

Common Values

ValueCountFrequency (%)
2021 31
100.0%

Length

2023-12-10T21:27:16.831651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T21:27:17.000116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021 31
100.0%

배출월
Categorical

CONSTANT 

Distinct1
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size380.0 B
7
31 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row7
2nd row7
3rd row7
4th row7
5th row7

Common Values

ValueCountFrequency (%)
7 31
100.0%

Length

2023-12-10T21:27:17.177019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T21:27:17.342994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
7 31
100.0%

배출일
Real number (ℝ)

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16
Minimum1
Maximum31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-10T21:27:17.508677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.5
Q18.5
median16
Q323.5
95-th percentile29.5
Maximum31
Range30
Interquartile range (IQR)15

Descriptive statistics

Standard deviation9.0921211
Coefficient of variation (CV)0.56825757
Kurtosis-1.2
Mean16
Median Absolute Deviation (MAD)8
Skewness0
Sum496
Variance82.666667
MonotonicityStrictly increasing
2023-12-10T21:27:17.726669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
1 1
 
3.2%
2 1
 
3.2%
31 1
 
3.2%
30 1
 
3.2%
29 1
 
3.2%
28 1
 
3.2%
27 1
 
3.2%
26 1
 
3.2%
25 1
 
3.2%
24 1
 
3.2%
Other values (21) 21
67.7%
ValueCountFrequency (%)
1 1
3.2%
2 1
3.2%
3 1
3.2%
4 1
3.2%
5 1
3.2%
6 1
3.2%
7 1
3.2%
8 1
3.2%
9 1
3.2%
10 1
3.2%
ValueCountFrequency (%)
31 1
3.2%
30 1
3.2%
29 1
3.2%
28 1
3.2%
27 1
3.2%
26 1
3.2%
25 1
3.2%
24 1
3.2%
23 1
3.2%
22 1
3.2%

배출요일
Real number (ℝ)

HIGH CORRELATION 

Distinct7
Distinct (%)22.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.1935484
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-10T21:27:18.134360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12.5
median4
Q36
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)3.5

Descriptive statistics

Standard deviation2.0399241
Coefficient of variation (CV)0.48644344
Kurtosis-1.2501905
Mean4.1935484
Median Absolute Deviation (MAD)2
Skewness-0.15410105
Sum130
Variance4.1612903
MonotonicityNot monotonic
2023-12-10T21:27:18.513434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
5 5
16.1%
6 5
16.1%
7 5
16.1%
1 4
12.9%
2 4
12.9%
3 4
12.9%
4 4
12.9%
ValueCountFrequency (%)
1 4
12.9%
2 4
12.9%
3 4
12.9%
4 4
12.9%
5 5
16.1%
6 5
16.1%
7 5
16.1%
ValueCountFrequency (%)
7 5
16.1%
6 5
16.1%
5 5
16.1%
4 4
12.9%
3 4
12.9%
2 4
12.9%
1 4
12.9%

배출량(g)
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.0491293 × 109
Minimum2.4446585 × 109
Maximum3.6138291 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-10T21:27:19.373448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.4446585 × 109
5-th percentile2.6604216 × 109
Q12.8541096 × 109
median3.0368975 × 109
Q33.1937979 × 109
95-th percentile3.5834065 × 109
Maximum3.6138291 × 109
Range1.1691706 × 109
Interquartile range (IQR)3.3968833 × 108

Descriptive statistics

Standard deviation3.0346243 × 108
Coefficient of variation (CV)0.099524292
Kurtosis-0.48736414
Mean3.0491293 × 109
Median Absolute Deviation (MAD)1.7496243 × 108
Skewness0.29137417
Sum9.4523008 × 1010
Variance9.2089449 × 1016
MonotonicityNot monotonic
2023-12-10T21:27:20.363456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
2657192317 1
 
3.2%
2695877876 1
 
3.2%
3045604727 1
 
3.2%
2874339227 1
 
3.2%
2893667636 1
 
3.2%
2928600357 1
 
3.2%
3059521686 1
 
3.2%
3358872948 1
 
3.2%
3579827130 1
 
3.2%
3211859969 1
 
3.2%
Other values (21) 21
67.7%
ValueCountFrequency (%)
2444658489 1
3.2%
2657192317 1
3.2%
2663650874 1
3.2%
2695877876 1
3.2%
2700137183 1
3.2%
2726625736 1
3.2%
2805975098 1
3.2%
2833879875 1
3.2%
2874339227 1
3.2%
2883782680 1
3.2%
ValueCountFrequency (%)
3613829122 1
3.2%
3586985807 1
3.2%
3579827130 1
3.2%
3531498370 1
3.2%
3411360891 1
3.2%
3405097822 1
3.2%
3358872948 1
3.2%
3211859969 1
3.2%
3175735794 1
3.2%
3153670678 1
3.2%

배출량비율(%)
Real number (ℝ)

HIGH CORRELATION 

Distinct29
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.2258065
Minimum2.59
Maximum3.82
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-10T21:27:21.186830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.59
5-th percentile2.815
Q13.02
median3.21
Q33.38
95-th percentile3.79
Maximum3.82
Range1.23
Interquartile range (IQR)0.36

Descriptive statistics

Standard deviation0.32064284
Coefficient of variation (CV)0.099399279
Kurtosis-0.49836324
Mean3.2258065
Median Absolute Deviation (MAD)0.19
Skewness0.29284571
Sum100
Variance0.10281183
MonotonicityNot monotonic
2023-12-10T21:27:21.478278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
3.21 2
 
6.5%
3.79 2
 
6.5%
2.81 1
 
3.2%
3.36 1
 
3.2%
3.22 1
 
3.2%
3.04 1
 
3.2%
3.06 1
 
3.2%
3.1 1
 
3.2%
3.24 1
 
3.2%
3.55 1
 
3.2%
Other values (19) 19
61.3%
ValueCountFrequency (%)
2.59 1
3.2%
2.81 1
3.2%
2.82 1
3.2%
2.85 1
3.2%
2.86 1
3.2%
2.88 1
3.2%
2.97 1
3.2%
3.0 1
3.2%
3.04 1
3.2%
3.05 1
3.2%
ValueCountFrequency (%)
3.82 1
3.2%
3.79 2
6.5%
3.74 1
3.2%
3.61 1
3.2%
3.6 1
3.2%
3.55 1
3.2%
3.4 1
3.2%
3.36 1
3.2%
3.34 1
3.2%
3.27 1
3.2%

배출횟수
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1851348.5
Minimum1435374
Maximum2128390
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-10T21:27:21.720295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1435374
5-th percentile1653060.5
Q11790072.5
median1842087
Q31917531
95-th percentile2122217
Maximum2128390
Range693016
Interquartile range (IQR)127458.5

Descriptive statistics

Standard deviation148200.05
Coefficient of variation (CV)0.080049786
Kurtosis1.2239637
Mean1851348.5
Median Absolute Deviation (MAD)65519
Skewness-0.31487837
Sum57391802
Variance2.1963254 × 1010
MonotonicityNot monotonic
2023-12-10T21:27:22.007028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
1690632 1
 
3.2%
1675521 1
 
3.2%
1842087 1
 
3.2%
1795601 1
 
3.2%
1839883 1
 
3.2%
1837301 1
 
3.2%
1868988 1
 
3.2%
1937462 1
 
3.2%
2128390 1
 
3.2%
1907606 1
 
3.2%
Other values (21) 21
67.7%
ValueCountFrequency (%)
1435374 1
3.2%
1634550 1
3.2%
1671571 1
3.2%
1675521 1
3.2%
1690632 1
3.2%
1712424 1
3.2%
1763221 1
3.2%
1784544 1
3.2%
1795601 1
3.2%
1802508 1
3.2%
ValueCountFrequency (%)
2128390 1
3.2%
2125324 1
3.2%
2119110 1
3.2%
2050213 1
3.2%
1965528 1
3.2%
1945921 1
3.2%
1937462 1
3.2%
1927456 1
3.2%
1907606 1
3.2%
1905260 1
3.2%

배출횟수비율(%)
Real number (ℝ)

HIGH CORRELATION 

Distinct25
Distinct (%)80.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.2254839
Minimum2.5
Maximum3.71
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-10T21:27:22.250243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.5
5-th percentile2.88
Q13.12
median3.21
Q33.34
95-th percentile3.695
Maximum3.71
Range1.21
Interquartile range (IQR)0.22

Descriptive statistics

Standard deviation0.25792555
Coefficient of variation (CV)0.079964918
Kurtosis1.2353345
Mean3.2254839
Median Absolute Deviation (MAD)0.11
Skewness-0.32256249
Sum99.99
Variance0.066525591
MonotonicityNot monotonic
2023-12-10T21:27:22.583642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
3.21 3
 
9.7%
3.14 2
 
6.5%
3.2 2
 
6.5%
3.32 2
 
6.5%
3.26 2
 
6.5%
3.07 1
 
3.2%
3.13 1
 
3.2%
3.38 1
 
3.2%
3.71 1
 
3.2%
3.36 1
 
3.2%
Other values (15) 15
48.4%
ValueCountFrequency (%)
2.5 1
3.2%
2.85 1
3.2%
2.91 1
3.2%
2.92 1
3.2%
2.95 1
3.2%
2.98 1
3.2%
3.07 1
3.2%
3.11 1
3.2%
3.13 1
3.2%
3.14 2
6.5%
ValueCountFrequency (%)
3.71 1
3.2%
3.7 1
3.2%
3.69 1
3.2%
3.57 1
3.2%
3.42 1
3.2%
3.39 1
3.2%
3.38 1
3.2%
3.36 1
3.2%
3.32 2
6.5%
3.31 1
3.2%

Interactions

2023-12-10T21:27:15.394037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:27:08.591985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:27:10.160823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:27:12.132977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:27:13.387438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:27:14.384144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:27:15.520743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:27:08.900567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:27:10.510588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:27:12.651387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:27:13.548956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:27:14.563643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:27:15.657295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:27:09.192882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:27:10.991077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:27:12.786249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:27:13.758396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:27:14.767688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:27:15.784568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:27:09.443943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:27:11.314215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:27:12.938041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:27:13.976438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:27:14.906819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:27:15.921174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:27:09.695983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:27:11.597661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:27:13.118088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:27:14.119380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:27:15.083549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:27:16.139741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:27:09.936473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:27:11.914289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:27:13.258309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:27:14.253638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:27:15.248232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T21:27:22.734321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
배출일배출요일배출량(g)배출량비율(%)배출횟수배출횟수비율(%)
배출일1.0000.0000.0000.0000.6520.622
배출요일0.0001.0000.8050.8200.6890.699
배출량(g)0.0000.8051.0001.0000.7810.781
배출량비율(%)0.0000.8201.0001.0000.7810.843
배출횟수0.6520.6890.7810.7811.0001.000
배출횟수비율(%)0.6220.6990.7810.8431.0001.000
2023-12-10T21:27:22.917839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
배출일배출요일배출량(g)배출량비율(%)배출횟수배출횟수비율(%)
배출일1.0000.0530.3210.3250.4140.410
배출요일0.0531.000-0.593-0.595-0.566-0.579
배출량(g)0.321-0.5931.0001.0000.9340.931
배출량비율(%)0.325-0.5951.0001.0000.9360.934
배출횟수0.414-0.5660.9340.9361.0000.999
배출횟수비율(%)0.410-0.5790.9310.9340.9991.000

Missing values

2023-12-10T21:27:16.345899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T21:27:16.601555image/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

배출년도배출월배출일배출요일배출량(g)배출량비율(%)배출횟수배출횟수비율(%)
0202171526571923172.8116906322.95
1202172626958778762.8516755212.92
2202173724446584892.5914353742.5
3202174135314983703.7420502133.57
4202175231536706783.3418025083.14
5202176327001371832.8616345502.85
6202177426636508742.8216715712.91
7202178528059750982.9717845443.11
8202179627266257362.8817124242.98
92021710730368975423.2118047553.14
배출년도배출월배출일배출요일배출량(g)배출량비율(%)배출횟수배출횟수비율(%)
212021722530351426343.2119052603.32
222021723629774549913.1518388953.2
232021724732118599693.419076063.32
242021725135798271303.7921283903.71
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