Overview

Dataset statistics

Number of variables8
Number of observations30
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.2 KiB
Average record size in memory76.4 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 12:27:24.053718
Analysis finished2023-12-10 12:27:32.588572
Duration8.53 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

배출년도
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
2021
30 

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 30
100.0%

Length

2023-12-10T21:27:32.800673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T21:27:32.965839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021 30
100.0%

배출월
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
6
30 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row6
2nd row6
3rd row6
4th row6
5th row6

Common Values

ValueCountFrequency (%)
6 30
100.0%

Length

2023-12-10T21:27:33.303784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T21:27:33.601888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
6 30
100.0%

배출일
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.5
Minimum1
Maximum30
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T21:27:33.917640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.45
Q18.25
median15.5
Q322.75
95-th percentile28.55
Maximum30
Range29
Interquartile range (IQR)14.5

Descriptive statistics

Standard deviation8.8034084
Coefficient of variation (CV)0.56796183
Kurtosis-1.2
Mean15.5
Median Absolute Deviation (MAD)7.5
Skewness0
Sum465
Variance77.5
MonotonicityStrictly increasing
2023-12-10T21:27:34.273529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
1 1
 
3.3%
17 1
 
3.3%
30 1
 
3.3%
29 1
 
3.3%
28 1
 
3.3%
27 1
 
3.3%
26 1
 
3.3%
25 1
 
3.3%
24 1
 
3.3%
23 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
1 1
3.3%
2 1
3.3%
3 1
3.3%
4 1
3.3%
5 1
3.3%
6 1
3.3%
7 1
3.3%
8 1
3.3%
9 1
3.3%
10 1
3.3%
ValueCountFrequency (%)
30 1
3.3%
29 1
3.3%
28 1
3.3%
27 1
3.3%
26 1
3.3%
25 1
3.3%
24 1
3.3%
23 1
3.3%
22 1
3.3%
21 1
3.3%

배출요일
Real number (ℝ)

HIGH CORRELATION 

Distinct7
Distinct (%)23.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.9666667
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T21:27:34.458161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12.25
median4
Q35.75
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)3.5

Descriptive statistics

Standard deviation1.9736774
Coefficient of variation (CV)0.49756572
Kurtosis-1.1411061
Mean3.9666667
Median Absolute Deviation (MAD)2
Skewness0.049485763
Sum119
Variance3.8954023
MonotonicityNot monotonic
2023-12-10T21:27:34.600378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
3 5
16.7%
4 5
16.7%
5 4
13.3%
6 4
13.3%
7 4
13.3%
1 4
13.3%
2 4
13.3%
ValueCountFrequency (%)
1 4
13.3%
2 4
13.3%
3 5
16.7%
4 5
16.7%
5 4
13.3%
6 4
13.3%
7 4
13.3%
ValueCountFrequency (%)
7 4
13.3%
6 4
13.3%
5 4
13.3%
4 5
16.7%
3 5
16.7%
2 4
13.3%
1 4
13.3%

배출량(g)
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.7407147 × 109
Minimum1.9864588 × 109
Maximum3.2839189 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T21:27:34.821863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.9864588 × 109
5-th percentile2.4358026 × 109
Q12.5557691 × 109
median2.683118 × 109
Q32.9507116 × 109
95-th percentile3.2307148 × 109
Maximum3.2839189 × 109
Range1.2974601 × 109
Interquartile range (IQR)3.9494244 × 108

Descriptive statistics

Standard deviation2.9662075 × 108
Coefficient of variation (CV)0.10822752
Kurtosis0.21387308
Mean2.7407147 × 109
Median Absolute Deviation (MAD)1.5332732 × 108
Skewness0.081546307
Sum8.2221441 × 1010
Variance8.7983869 × 1016
MonotonicityNot monotonic
2023-12-10T21:27:35.034546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
2549355387 1
 
3.3%
2510225893 1
 
3.3%
2698387775 1
 
3.3%
2771011233 1
 
3.3%
3067723361 1
 
3.3%
3218718894 1
 
3.3%
2710940447 1
 
3.3%
2565922436 1
 
3.3%
2583998933 1
 
3.3%
2605820896 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
1986458761 1
3.3%
2422294869 1
3.3%
2452312056 1
3.3%
2461932089 1
3.3%
2484590942 1
3.3%
2510225893 1
3.3%
2549355387 1
3.3%
2552384680 1
3.3%
2565922436 1
3.3%
2583998933 1
3.3%
ValueCountFrequency (%)
3283918902 1
3.3%
3240529643 1
3.3%
3218718894 1
3.3%
3197629044 1
3.3%
3101152376 1
3.3%
3072752529 1
3.3%
3067723361 1
3.3%
2968556941 1
3.3%
2897175397 1
3.3%
2782321784 1
3.3%

배출량비율(%)
Real number (ℝ)

HIGH CORRELATION 

Distinct27
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.3323333
Minimum2.42
Maximum3.99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T21:27:35.237410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.42
5-th percentile2.9635
Q13.105
median3.26
Q33.5875
95-th percentile3.9265
Maximum3.99
Range1.57
Interquartile range (IQR)0.4825

Descriptive statistics

Standard deviation0.36020763
Coefficient of variation (CV)0.10809472
Kurtosis0.18607086
Mean3.3323333
Median Absolute Deviation (MAD)0.185
Skewness0.087557865
Sum99.97
Variance0.12974954
MonotonicityNot monotonic
2023-12-10T21:27:35.487682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
3.1 2
 
6.7%
3.3 2
 
6.7%
3.37 2
 
6.7%
3.05 1
 
3.3%
3.28 1
 
3.3%
3.73 1
 
3.3%
3.91 1
 
3.3%
3.12 1
 
3.3%
3.14 1
 
3.3%
3.17 1
 
3.3%
Other values (17) 17
56.7%
ValueCountFrequency (%)
2.42 1
3.3%
2.95 1
3.3%
2.98 1
3.3%
2.99 1
3.3%
3.02 1
3.3%
3.05 1
3.3%
3.1 2
6.7%
3.12 1
3.3%
3.14 1
3.3%
3.17 1
3.3%
ValueCountFrequency (%)
3.99 1
3.3%
3.94 1
3.3%
3.91 1
3.3%
3.89 1
3.3%
3.77 1
3.3%
3.74 1
3.3%
3.73 1
3.3%
3.61 1
3.3%
3.52 1
3.3%
3.38 1
3.3%

배출횟수
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1627141.2
Minimum1197763
Maximum1909271
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T21:27:35.713994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1197763
5-th percentile1464109.5
Q11565704
median1613722
Q31684385.2
95-th percentile1900305.9
Maximum1909271
Range711508
Interquartile range (IQR)118681.25

Descriptive statistics

Standard deviation147353.97
Coefficient of variation (CV)0.090560038
Kurtosis1.7668135
Mean1627141.2
Median Absolute Deviation (MAD)65166.5
Skewness-0.18787119
Sum48814236
Variance2.1713192 × 1010
MonotonicityNot monotonic
2023-12-10T21:27:35.931531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
1506596 1
 
3.3%
1567468 1
 
3.3%
1689882 1
 
3.3%
1667895 1
 
3.3%
1742762 1
 
3.3%
1905224 1
 
3.3%
1604391 1
 
3.3%
1581866 1
 
3.3%
1629462 1
 
3.3%
1619934 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
1197763 1
3.3%
1456464 1
3.3%
1473454 1
3.3%
1490522 1
3.3%
1506596 1
3.3%
1514472 1
3.3%
1528180 1
3.3%
1565116 1
3.3%
1567468 1
3.3%
1576217 1
3.3%
ValueCountFrequency (%)
1909271 1
3.3%
1905224 1
3.3%
1894295 1
3.3%
1852736 1
3.3%
1745122 1
3.3%
1742762 1
3.3%
1722904 1
3.3%
1689882 1
3.3%
1667895 1
3.3%
1658917 1
3.3%

배출횟수비율(%)
Real number (ℝ)

HIGH CORRELATION 

Distinct27
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.3333333
Minimum2.45
Maximum3.91
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T21:27:36.134076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.45
5-th percentile2.998
Q13.21
median3.305
Q33.45
95-th percentile3.891
Maximum3.91
Range1.46
Interquartile range (IQR)0.24

Descriptive statistics

Standard deviation0.30245357
Coefficient of variation (CV)0.09073607
Kurtosis1.7746587
Mean3.3333333
Median Absolute Deviation (MAD)0.135
Skewness-0.20152526
Sum100
Variance0.091478161
MonotonicityNot monotonic
2023-12-10T21:27:36.602140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
3.29 2
 
6.7%
3.28 2
 
6.7%
3.21 2
 
6.7%
3.09 1
 
3.3%
3.05 1
 
3.3%
3.46 1
 
3.3%
3.42 1
 
3.3%
3.57 1
 
3.3%
3.9 1
 
3.3%
3.24 1
 
3.3%
Other values (17) 17
56.7%
ValueCountFrequency (%)
2.45 1
3.3%
2.98 1
3.3%
3.02 1
3.3%
3.05 1
3.3%
3.09 1
3.3%
3.1 1
3.3%
3.13 1
3.3%
3.21 2
6.7%
3.23 1
3.3%
3.24 1
3.3%
ValueCountFrequency (%)
3.91 1
3.3%
3.9 1
3.3%
3.88 1
3.3%
3.8 1
3.3%
3.58 1
3.3%
3.57 1
3.3%
3.53 1
3.3%
3.46 1
3.3%
3.42 1
3.3%
3.4 1
3.3%

Interactions

2023-12-10T21:27:31.117169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:27:24.413386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:27:25.672540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:27:27.088407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:27:28.383188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:27:30.111114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:27:31.265858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:27:24.660346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:27:25.800162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:27:27.409193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:27:28.588351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:27:30.380341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:27:31.401793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:27:24.849663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:27:25.949061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:27:27.685178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:27:28.837197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:27:30.514443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:27:31.565795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:27:25.073184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:27:26.183459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:27:27.922526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:27:29.381434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:27:30.650241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:27:31.745304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:27:25.233794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:27:26.504556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:27:28.072491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:27:29.606407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:27:30.813246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:27:31.946543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:27:25.439744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:27:26.844134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:27:28.238326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:27:29.853766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:27:30.965801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T21:27:36.755750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
배출일배출요일배출량(g)배출량비율(%)배출횟수배출횟수비율(%)
배출일1.0000.0000.0000.0000.0000.000
배출요일0.0001.0000.8910.7570.6820.850
배출량(g)0.0000.8911.0001.0000.8540.854
배출량비율(%)0.0000.7571.0001.0000.8540.901
배출횟수0.0000.6820.8540.8541.0001.000
배출횟수비율(%)0.0000.8500.8540.9011.0001.000
2023-12-10T21:27:36.918491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
배출일배출요일배출량(g)배출량비율(%)배출횟수배출횟수비율(%)
배출일1.000-0.0840.2770.2780.4240.427
배출요일-0.0841.000-0.583-0.579-0.625-0.627
배출량(g)0.277-0.5831.0001.0000.9250.926
배출량비율(%)0.278-0.5791.0001.0000.9220.923
배출횟수0.424-0.6250.9250.9221.0001.000
배출횟수비율(%)0.427-0.6270.9260.9231.0001.000

Missing values

2023-12-10T21:27:32.231493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T21:27:32.486056image/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(%)
0202161325493553873.115065963.09
1202162425523846803.115651163.21
2202163519864587612.4211977632.45
3202164627119006243.316367343.35
4202165726252998883.1915144723.1
5202166131976290443.8918527363.8
6202167229685569413.6116589173.4
7202168326461062803.2215762173.23
8202169426142389693.1816075103.29
92021610524523120562.9815281803.13
배출년도배출월배출일배출요일배출량(g)배출량비율(%)배출횟수배출횟수비율(%)
202021621231011523763.7717451223.58
212021622326678481383.2416011433.28
222021623426058208963.1716199343.32
232021624525839989333.1416294623.34
242021625625659224363.1215818663.24
252021626727109404473.316043913.29
262021627132187188943.9119052243.9
272021628230677233613.7317427623.57
282021629327710112333.3716678953.42
292021630426983877753.2816898823.46