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 12:27:51.162128
Analysis finished2023-12-10 12:27:58.394633
Duration7.23 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

2023-12-10T21:27:58.504943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T21:27:58.659214image/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
3
31 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row3
3rd row3
4th row3
5th row3

Common Values

ValueCountFrequency (%)
3 31
100.0%

Length

2023-12-10T21:27:58.841049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T21:27:58.992008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 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
2023-12-10T21:27:59.818122image/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
2023-12-10T21:28:00.193445image/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%
Mean3.9032258
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-10T21:28:00.427513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation1.9723901
Coefficient of variation (CV)0.50532308
Kurtosis-1.1615893
Mean3.9032258
Median Absolute Deviation (MAD)2
Skewness0.11568173
Sum121
Variance3.8903226
MonotonicityNot monotonic
2023-12-10T21:28:00.601627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
2 5
16.1%
3 5
16.1%
4 5
16.1%
5 4
12.9%
6 4
12.9%
7 4
12.9%
1 4
12.9%
ValueCountFrequency (%)
1 4
12.9%
2 5
16.1%
3 5
16.1%
4 5
16.1%
5 4
12.9%
6 4
12.9%
7 4
12.9%
ValueCountFrequency (%)
7 4
12.9%
6 4
12.9%
5 4
12.9%
4 5
16.1%
3 5
16.1%
2 5
16.1%
1 4
12.9%

배출량(g)
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.2861218 × 109
Minimum1.8082412 × 109
Maximum2.7819197 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-10T21:28:00.830928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.8082412 × 109
5-th percentile1.9350761 × 109
Q12.1007241 × 109
median2.2181957 × 109
Q32.5310674 × 109
95-th percentile2.7198028 × 109
Maximum2.7819197 × 109
Range9.736785 × 108
Interquartile range (IQR)4.3034327 × 108

Descriptive statistics

Standard deviation2.5512504 × 108
Coefficient of variation (CV)0.11159731
Kurtosis-0.67256491
Mean2.2861218 × 109
Median Absolute Deviation (MAD)1.2726412 × 108
Skewness0.39400403
Sum7.0869777 × 1010
Variance6.5088786 × 1016
MonotonicityNot monotonic
2023-12-10T21:28:01.188710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
2255810171 1
 
3.2%
2781919667 1
 
3.2%
2160140037 1
 
3.2%
2279954532 1
 
3.2%
2566191045 1
 
3.2%
2542071861 1
 
3.2%
1808241169 1
 
3.2%
2075601425 1
 
3.2%
2101288631 1
 
3.2%
2437535690 1
 
3.2%
Other values (21) 21
67.7%
ValueCountFrequency (%)
1808241169 1
3.2%
1908876630 1
3.2%
1961275585 1
3.2%
2062474693 1
3.2%
2075601425 1
3.2%
2090931548 1
3.2%
2097376132 1
3.2%
2100159646 1
3.2%
2101288631 1
3.2%
2129691825 1
3.2%
ValueCountFrequency (%)
2781919667 1
3.2%
2746603215 1
3.2%
2693002317 1
3.2%
2685229011 1
3.2%
2566191045 1
3.2%
2547892931 1
3.2%
2543832315 1
3.2%
2542071861 1
3.2%
2520062949 1
3.2%
2437535690 1
3.2%

배출량비율(%)
Real number (ℝ)

HIGH CORRELATION 

Distinct26
Distinct (%)83.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.226129
Minimum2.55
Maximum3.93
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-10T21:28:01.508851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.55
5-th percentile2.73
Q12.96
median3.13
Q33.575
95-th percentile3.84
Maximum3.93
Range1.38
Interquartile range (IQR)0.615

Descriptive statistics

Standard deviation0.36128177
Coefficient of variation (CV)0.11198615
Kurtosis-0.67007529
Mean3.226129
Median Absolute Deviation (MAD)0.18
Skewness0.3970737
Sum100.01
Variance0.13052452
MonotonicityNot monotonic
2023-12-10T21:28:01.751980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
2.96 3
 
9.7%
3.13 2
 
6.5%
3.04 2
 
6.5%
3.59 2
 
6.5%
3.18 1
 
3.2%
2.77 1
 
3.2%
3.05 1
 
3.2%
3.22 1
 
3.2%
3.62 1
 
3.2%
2.55 1
 
3.2%
Other values (16) 16
51.6%
ValueCountFrequency (%)
2.55 1
 
3.2%
2.69 1
 
3.2%
2.77 1
 
3.2%
2.91 1
 
3.2%
2.93 1
 
3.2%
2.95 1
 
3.2%
2.96 3
9.7%
3.01 1
 
3.2%
3.04 2
6.5%
3.05 1
 
3.2%
ValueCountFrequency (%)
3.93 1
3.2%
3.88 1
3.2%
3.8 1
3.2%
3.79 1
3.2%
3.62 1
3.2%
3.6 1
3.2%
3.59 2
6.5%
3.56 1
3.2%
3.44 1
3.2%
3.26 1
3.2%

배출횟수
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1286731.5
Minimum1025377
Maximum1552814
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-10T21:28:02.095512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1025377
5-th percentile1096403.5
Q11237024
median1267427
Q31349932
95-th percentile1540627
Maximum1552814
Range527437
Interquartile range (IQR)112908

Descriptive statistics

Standard deviation126569.43
Coefficient of variation (CV)0.098365066
Kurtosis0.37070944
Mean1286731.5
Median Absolute Deviation (MAD)41926
Skewness0.38670422
Sum39888676
Variance1.601982 × 1010
MonotonicityNot monotonic
2023-12-10T21:28:02.490276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
1113602 1
 
3.2%
1456875 1
 
3.2%
1296882 1
 
3.2%
1309353 1
 
3.2%
1369813 1
 
3.2%
1439531 1
 
3.2%
1025377 1
 
3.2%
1232719 1
 
3.2%
1263643 1
 
3.2%
1267427 1
 
3.2%
Other values (21) 21
67.7%
ValueCountFrequency (%)
1025377 1
3.2%
1090721 1
3.2%
1102086 1
3.2%
1113602 1
3.2%
1181760 1
3.2%
1189641 1
3.2%
1232719 1
3.2%
1235404 1
3.2%
1238644 1
3.2%
1242979 1
3.2%
ValueCountFrequency (%)
1552814 1
3.2%
1546975 1
3.2%
1534279 1
3.2%
1456875 1
3.2%
1439531 1
3.2%
1369813 1
3.2%
1360422 1
3.2%
1350348 1
3.2%
1349516 1
3.2%
1309353 1
3.2%

배출횟수비율(%)
Real number (ℝ)

HIGH CORRELATION 

Distinct27
Distinct (%)87.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.2254839
Minimum2.57
Maximum3.89
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-10T21:28:02.904909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.57
5-th percentile2.745
Q13.105
median3.18
Q33.385
95-th percentile3.865
Maximum3.89
Range1.32
Interquartile range (IQR)0.28

Descriptive statistics

Standard deviation0.3177823
Coefficient of variation (CV)0.098522366
Kurtosis0.37545285
Mean3.2254839
Median Absolute Deviation (MAD)0.1
Skewness0.38144676
Sum99.99
Variance0.10098559
MonotonicityNot monotonic
2023-12-10T21:28:03.333891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
3.2 2
 
6.5%
3.12 2
 
6.5%
3.15 2
 
6.5%
3.18 2
 
6.5%
2.79 1
 
3.2%
2.76 1
 
3.2%
3.25 1
 
3.2%
3.28 1
 
3.2%
3.43 1
 
3.2%
3.61 1
 
3.2%
Other values (17) 17
54.8%
ValueCountFrequency (%)
2.57 1
3.2%
2.73 1
3.2%
2.76 1
3.2%
2.79 1
3.2%
2.96 1
3.2%
2.98 1
3.2%
3.09 1
3.2%
3.1 1
3.2%
3.11 1
3.2%
3.12 2
6.5%
ValueCountFrequency (%)
3.89 1
3.2%
3.88 1
3.2%
3.85 1
3.2%
3.65 1
3.2%
3.61 1
3.2%
3.43 1
3.2%
3.41 1
3.2%
3.39 1
3.2%
3.38 1
3.2%
3.28 1
3.2%

Interactions

2023-12-10T21:27:57.024710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:27:51.622141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:27:52.939532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:27:53.802481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:27:54.767829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:27:55.750553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:27:57.185344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:27:51.882482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:27:53.066602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:27:53.937497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:27:54.975969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:27:55.945440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:27:57.345235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:27:52.062906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:27:53.209718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:27:54.076960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:27:55.167767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:27:56.177966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:27:57.510678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:27:52.208427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:27:53.356322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:27:54.211832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:27:55.316438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:27:56.324545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:27:57.670273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:27:52.638232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:27:53.518853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:27:54.384387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:27:55.441276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:27:56.560207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:27:57.815682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:27:52.799988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:27:53.668176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:27:54.534319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:27:55.607757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:27:56.731562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T21:28:03.547679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
배출일배출요일배출량(g)배출량비율(%)배출횟수배출횟수비율(%)
배출일1.0000.0000.0000.0000.0000.092
배출요일0.0001.0000.7740.8120.7610.758
배출량(g)0.0000.7741.0000.9880.7560.738
배출량비율(%)0.0000.8120.9881.0000.8450.895
배출횟수0.0000.7610.7560.8451.0001.000
배출횟수비율(%)0.0920.7580.7380.8951.0001.000
2023-12-10T21:28:03.743538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
배출일배출요일배출량(g)배출량비율(%)배출횟수배출횟수비율(%)
배출일1.000-0.023-0.096-0.0950.1480.149
배출요일-0.0231.000-0.813-0.813-0.763-0.763
배출량(g)-0.096-0.8131.0000.9990.8930.893
배출량비율(%)-0.095-0.8130.9991.0000.8920.892
배출횟수0.148-0.7630.8930.8921.0001.000
배출횟수비율(%)0.149-0.7630.8930.8921.0001.000

Missing values

2023-12-10T21:27:58.025404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T21:27:58.311805image/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(%)
0202131222558101713.1811136022.79
1202132327819196673.9314568753.65
2202133423031204103.2512767463.2
3202134520624746932.9111817602.96
4202135621778411153.0712386443.11
5202136721296918253.0111896412.98
6202137127466032153.8815528143.89
7202138225478929313.613495163.38
8202139322166235943.1312429793.12
92021310421556586303.0412564813.15
배출년도배출월배출일배출요일배출량(g)배출량비율(%)배출횟수배출횟수비율(%)
212021322225200629493.5613503483.39
222021323322343365583.1512685713.18
232021324424375356903.4412674273.18
242021325521012886312.9612636433.17
252021326620756014252.9312327193.09
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