Overview

Dataset statistics

Number of variables8
Number of observations28
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.1 KiB
Average record size in memory76.7 B

Variable types

Categorical2
Numeric6

Alerts

배출년도 has constant value ""Constant
배출월 has constant value ""Constant
배출량(g) is highly overall correlated with 배출량비율(%) and 2 other fieldsHigh correlation
배출량비율(%) is highly overall correlated with 배출량(g) and 2 other fieldsHigh correlation
배출횟수 is highly overall correlated with 배출량(g) and 2 other fieldsHigh correlation
배출횟수비율(%) is highly overall correlated with 배출량(g) and 2 other fieldsHigh correlation
배출일 has unique valuesUnique
배출량(g) has unique valuesUnique
배출횟수 has unique valuesUnique

Reproduction

Analysis started2023-12-10 12:28:04.905568
Analysis finished2023-12-10 12:28:12.391909
Duration7.49 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

배출년도
Categorical

CONSTANT 

Distinct1
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size356.0 B
2021
28 

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 28
100.0%

Length

2023-12-10T21:28:12.523314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T21:28:12.728733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021 28
100.0%

배출월
Categorical

CONSTANT 

Distinct1
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size356.0 B
2
28 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row2
3rd row2
4th row2
5th row2

Common Values

ValueCountFrequency (%)
2 28
100.0%

Length

2023-12-10T21:28:12.994866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T21:28:13.171750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 28
100.0%

배출일
Real number (ℝ)

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.5
Minimum1
Maximum28
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-10T21:28:13.355422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.35
Q17.75
median14.5
Q321.25
95-th percentile26.65
Maximum28
Range27
Interquartile range (IQR)13.5

Descriptive statistics

Standard deviation8.2259751
Coefficient of variation (CV)0.56730863
Kurtosis-1.2
Mean14.5
Median Absolute Deviation (MAD)7
Skewness0
Sum406
Variance67.666667
MonotonicityStrictly increasing
2023-12-10T21:28:13.541384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
1 1
 
3.6%
16 1
 
3.6%
28 1
 
3.6%
27 1
 
3.6%
26 1
 
3.6%
25 1
 
3.6%
24 1
 
3.6%
23 1
 
3.6%
22 1
 
3.6%
21 1
 
3.6%
Other values (18) 18
64.3%
ValueCountFrequency (%)
1 1
3.6%
2 1
3.6%
3 1
3.6%
4 1
3.6%
5 1
3.6%
6 1
3.6%
7 1
3.6%
8 1
3.6%
9 1
3.6%
10 1
3.6%
ValueCountFrequency (%)
28 1
3.6%
27 1
3.6%
26 1
3.6%
25 1
3.6%
24 1
3.6%
23 1
3.6%
22 1
3.6%
21 1
3.6%
20 1
3.6%
19 1
3.6%

배출요일
Real number (ℝ)

Distinct7
Distinct (%)25.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-10T21:28:13.811366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q36
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.0367003
Coefficient of variation (CV)0.50917508
Kurtosis-1.2565385
Mean4
Median Absolute Deviation (MAD)2
Skewness0
Sum112
Variance4.1481481
MonotonicityNot monotonic
2023-12-10T21:28:13.968324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
2 4
14.3%
3 4
14.3%
4 4
14.3%
5 4
14.3%
6 4
14.3%
7 4
14.3%
1 4
14.3%
ValueCountFrequency (%)
1 4
14.3%
2 4
14.3%
3 4
14.3%
4 4
14.3%
5 4
14.3%
6 4
14.3%
7 4
14.3%
ValueCountFrequency (%)
7 4
14.3%
6 4
14.3%
5 4
14.3%
4 4
14.3%
3 4
14.3%
2 4
14.3%
1 4
14.3%

배출량(g)
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.4221452 × 109
Minimum2.0100011 × 109
Maximum3.4739681 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-10T21:28:14.138932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0100011 × 109
5-th percentile2.0753277 × 109
Q12.1804074 × 109
median2.3182194 × 109
Q32.6216099 × 109
95-th percentile2.9030188 × 109
Maximum3.4739681 × 109
Range1.463967 × 109
Interquartile range (IQR)4.4120246 × 108

Descriptive statistics

Standard deviation3.4059693 × 108
Coefficient of variation (CV)0.14061788
Kurtosis1.7780069
Mean2.4221452 × 109
Median Absolute Deviation (MAD)1.8894853 × 108
Skewness1.2828349
Sum6.7820066 × 1010
Variance1.1600627 × 1017
MonotonicityNot monotonic
2023-12-10T21:28:14.353743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
2349358240 1
 
3.6%
2150514040 1
 
3.6%
2380433462 1
 
3.6%
2068436439 1
 
3.6%
2203855817 1
 
3.6%
2106573984 1
 
3.6%
2242596702 1
 
3.6%
2123612498 1
 
3.6%
2646205362 1
 
3.6%
2890849380 1
 
3.6%
Other values (18) 18
64.3%
ValueCountFrequency (%)
2010001127 1
3.6%
2068436439 1
3.6%
2088125669 1
3.6%
2106573984 1
3.6%
2123612498 1
3.6%
2150514040 1
3.6%
2173987406 1
3.6%
2182547418 1
3.6%
2199017567 1
3.6%
2201153184 1
3.6%
ValueCountFrequency (%)
3473968123 1
3.6%
2909571496 1
3.6%
2890849380 1
3.6%
2858009083 1
3.6%
2776372269 1
3.6%
2769285455 1
3.6%
2646205362 1
3.6%
2613411375 1
3.6%
2572891120 1
3.6%
2501509553 1
3.6%

배출량비율(%)
Real number (ℝ)

HIGH CORRELATION 

Distinct27
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.5707143
Minimum2.96
Maximum5.12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-10T21:28:14.593621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.96
5-th percentile3.0605
Q13.2175
median3.415
Q33.8625
95-th percentile4.2795
Maximum5.12
Range2.16
Interquartile range (IQR)0.645

Descriptive statistics

Standard deviation0.50100587
Coefficient of variation (CV)0.1403097
Kurtosis1.8015558
Mean3.5707143
Median Absolute Deviation (MAD)0.28
Skewness1.2867203
Sum99.98
Variance0.25100688
MonotonicityNot monotonic
2023-12-10T21:28:14.820314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
3.25 2
 
7.1%
3.46 1
 
3.6%
3.17 1
 
3.6%
3.51 1
 
3.6%
3.05 1
 
3.6%
3.11 1
 
3.6%
3.31 1
 
3.6%
3.13 1
 
3.6%
3.9 1
 
3.6%
4.26 1
 
3.6%
Other values (17) 17
60.7%
ValueCountFrequency (%)
2.96 1
3.6%
3.05 1
3.6%
3.08 1
3.6%
3.11 1
3.6%
3.13 1
3.6%
3.17 1
3.6%
3.21 1
3.6%
3.22 1
3.6%
3.24 1
3.6%
3.25 2
7.1%
ValueCountFrequency (%)
5.12 1
3.6%
4.29 1
3.6%
4.26 1
3.6%
4.21 1
3.6%
4.09 1
3.6%
4.08 1
3.6%
3.9 1
3.6%
3.85 1
3.6%
3.79 1
3.6%
3.69 1
3.6%

배출횟수
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1298992.7
Minimum1107125
Maximum1802650
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-10T21:28:15.041567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1107125
5-th percentile1128200.8
Q11198850.5
median1258991
Q31333953.5
95-th percentile1569159.2
Maximum1802650
Range695525
Interquartile range (IQR)135103

Descriptive statistics

Standard deviation159747.51
Coefficient of variation (CV)0.12297799
Kurtosis2.5939416
Mean1298992.7
Median Absolute Deviation (MAD)72967
Skewness1.5589913
Sum36371795
Variance2.5519268 × 1010
MonotonicityNot monotonic
2023-12-10T21:28:15.658586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
1178557 1
 
3.6%
1127141 1
 
3.6%
1337339 1
 
3.6%
1130169 1
 
3.6%
1234507 1
 
3.6%
1202837 1
 
3.6%
1267816 1
 
3.6%
1148896 1
 
3.6%
1357269 1
 
3.6%
1574062 1
 
3.6%
Other values (18) 18
64.3%
ValueCountFrequency (%)
1107125 1
3.6%
1127141 1
3.6%
1130169 1
3.6%
1148896 1
3.6%
1178557 1
3.6%
1184945 1
3.6%
1186891 1
3.6%
1202837 1
3.6%
1215482 1
3.6%
1223150 1
3.6%
ValueCountFrequency (%)
1802650 1
3.6%
1574062 1
3.6%
1560054 1
3.6%
1554352 1
3.6%
1454275 1
3.6%
1357269 1
3.6%
1337339 1
3.6%
1332825 1
3.6%
1326891 1
3.6%
1302502 1
3.6%

배출횟수비율(%)
Real number (ℝ)

HIGH CORRELATION 

Distinct25
Distinct (%)89.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.5714286
Minimum3.04
Maximum4.96
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-10T21:28:16.009365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.04
5-th percentile3.1035
Q13.2975
median3.465
Q33.665
95-th percentile4.316
Maximum4.96
Range1.92
Interquartile range (IQR)0.3675

Descriptive statistics

Standard deviation0.43973657
Coefficient of variation (CV)0.12312624
Kurtosis2.6176647
Mean3.5714286
Median Absolute Deviation (MAD)0.2
Skewness1.5637296
Sum100
Variance0.19336825
MonotonicityNot monotonic
2023-12-10T21:28:16.274429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
3.41 2
 
7.1%
3.49 2
 
7.1%
3.26 2
 
7.1%
3.24 1
 
3.6%
3.04 1
 
3.6%
3.68 1
 
3.6%
3.11 1
 
3.6%
3.39 1
 
3.6%
3.31 1
 
3.6%
3.16 1
 
3.6%
Other values (15) 15
53.6%
ValueCountFrequency (%)
3.04 1
3.6%
3.1 1
3.6%
3.11 1
3.6%
3.16 1
3.6%
3.24 1
3.6%
3.26 2
7.1%
3.31 1
3.6%
3.34 1
3.6%
3.36 1
3.6%
3.39 1
3.6%
ValueCountFrequency (%)
4.96 1
3.6%
4.33 1
3.6%
4.29 1
3.6%
4.27 1
3.6%
4.0 1
3.6%
3.73 1
3.6%
3.68 1
3.6%
3.66 1
3.6%
3.65 1
3.6%
3.58 1
3.6%

Interactions

2023-12-10T21:28:11.092175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:28:05.189409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:28:06.217511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:28:07.449822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:28:08.737477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:28:10.105072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:28:11.232327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:28:05.368519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:28:06.352185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:28:07.710246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:28:09.185241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:28:10.341322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:28:11.370320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:28:05.516226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:28:06.533538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:28:07.966016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:28:09.343096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:28:10.490135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:28:11.532542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:28:05.694183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:28:06.722042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:28:08.140233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:28:09.482506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:28:10.629537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:28:11.687853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:28:05.856705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:28:06.963975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:28:08.322707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:28:09.663339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:28:10.769213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:28:11.843934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:28:05.996845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:28:07.269618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:28:08.573435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:28:09.824576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:28:10.924133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T21:28:16.540113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
배출일배출요일배출량(g)배출량비율(%)배출횟수배출횟수비율(%)
배출일1.0000.0000.5330.5690.0000.286
배출요일0.0001.0000.5330.5010.8140.793
배출량(g)0.5330.5331.0001.0000.8030.803
배출량비율(%)0.5690.5011.0001.0000.8030.814
배출횟수0.0000.8140.8030.8031.0001.000
배출횟수비율(%)0.2860.7930.8030.8141.0001.000
2023-12-10T21:28:16.721143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
배출일배출요일배출량(g)배출량비율(%)배출횟수배출횟수비율(%)
배출일1.0000.062-0.129-0.135-0.018-0.016
배출요일0.0621.000-0.365-0.367-0.351-0.353
배출량(g)-0.129-0.3651.0001.0000.9350.931
배출량비율(%)-0.135-0.3671.0001.0000.9360.932
배출횟수-0.018-0.3510.9350.9361.0001.000
배출횟수비율(%)-0.016-0.3530.9310.9321.0001.000

Missing values

2023-12-10T21:28:12.067323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T21:28:12.320885image/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(%)
0202121223493582403.4611785573.24
1202122321739874063.2111868913.26
2202123422011531843.2512501663.44
3202124520881256693.0811849453.26
4202125621825474183.2212154823.34
5202126723620601863.4812773643.51
6202127128580090834.2115543524.27
7202128225728911203.7913025023.58
8202129325015095533.6913268913.65
92021210429095714964.2915600544.29
배출년도배출월배출일배출요일배출량(g)배출량비율(%)배출횟수배출횟수비율(%)
182021219622870805113.3712406903.41
192021220724011941993.5412855013.53
202021221128908493804.2615740624.33
212021222226462053623.913572693.73
222021223321236124983.1311488963.16
232021224422425967023.3112678163.49
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