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 1 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 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 12:28:17.598088
Analysis finished2023-12-10 12:28:25.043315
Duration7.45 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

2023-12-10T21:28:25.155371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T21:28:25.369146image/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
1
31 

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
100.0%

Length

2023-12-10T21:28:25.578201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T21:28:25.737516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 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
2023-12-10T21:28:25.954363image/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
2023-12-10T21:28:26.224292image/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%
Mean4.0645161
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-10T21:28:26.428629image/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 deviation2.1124312
Coefficient of variation (CV)0.51972514
Kurtosis-1.3551659
Mean4.0645161
Median Absolute Deviation (MAD)2
Skewness-0.06773365
Sum126
Variance4.4623656
MonotonicityNot monotonic
2023-12-10T21:28:26.629110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
6 5
16.1%
7 5
16.1%
1 5
16.1%
2 4
12.9%
3 4
12.9%
4 4
12.9%
5 4
12.9%
ValueCountFrequency (%)
1 5
16.1%
2 4
12.9%
3 4
12.9%
4 4
12.9%
5 4
12.9%
6 5
16.1%
7 5
16.1%
ValueCountFrequency (%)
7 5
16.1%
6 5
16.1%
5 4
12.9%
4 4
12.9%
3 4
12.9%
2 4
12.9%
1 5
16.1%

배출량(g)
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.3311209 × 109
Minimum1.7469065 × 109
Maximum2.8819995 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-10T21:28:26.846141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.7469065 × 109
5-th percentile1.9200371 × 109
Q12.1808981 × 109
median2.2579061 × 109
Q32.5435898 × 109
95-th percentile2.8114412 × 109
Maximum2.8819995 × 109
Range1.135093 × 109
Interquartile range (IQR)3.6269177 × 108

Descriptive statistics

Standard deviation2.8848112 × 108
Coefficient of variation (CV)0.12375211
Kurtosis-0.48246098
Mean2.3311209 × 109
Median Absolute Deviation (MAD)1.3392523 × 108
Skewness0.22683673
Sum7.2264748 × 1010
Variance8.3221359 × 1016
MonotonicityNot monotonic
2023-12-10T21:28:27.077786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
2439103421 1
 
3.2%
2610734555 1
 
3.2%
2797856536 1
 
3.2%
2309425457 1
 
3.2%
1983222660 1
 
3.2%
1968804373 1
 
3.2%
2371685165 1
 
3.2%
2134008103 1
 
3.2%
2651548588 1
 
3.2%
2881999478 1
 
3.2%
Other values (21) 21
67.7%
ValueCountFrequency (%)
1746906518 1
3.2%
1871269833 1
3.2%
1968804373 1
3.2%
1983222660 1
3.2%
2020019040 1
3.2%
2123980843 1
3.2%
2134008103 1
3.2%
2169254452 1
3.2%
2192541690 1
3.2%
2195682840 1
3.2%
ValueCountFrequency (%)
2881999478 1
3.2%
2825025850 1
3.2%
2797856536 1
3.2%
2756909312 1
3.2%
2705378392 1
3.2%
2651548588 1
3.2%
2617857288 1
3.2%
2610734555 1
3.2%
2476445126 1
3.2%
2439103421 1
3.2%

배출량비율(%)
Real number (ℝ)

HIGH CORRELATION 

Distinct29
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.2258065
Minimum2.42
Maximum3.99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-10T21:28:27.275799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.42
5-th percentile2.655
Q13.015
median3.12
Q33.52
95-th percentile3.89
Maximum3.99
Range1.57
Interquartile range (IQR)0.505

Descriptive statistics

Standard deviation0.39946443
Coefficient of variation (CV)0.12383397
Kurtosis-0.48861258
Mean3.2258065
Median Absolute Deviation (MAD)0.18
Skewness0.22852216
Sum100
Variance0.15957183
MonotonicityNot monotonic
2023-12-10T21:28:27.486260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
3.2 2
 
6.5%
3.07 2
 
6.5%
3.38 1
 
3.2%
3.74 1
 
3.2%
3.87 1
 
3.2%
2.74 1
 
3.2%
2.72 1
 
3.2%
3.28 1
 
3.2%
2.95 1
 
3.2%
3.67 1
 
3.2%
Other values (19) 19
61.3%
ValueCountFrequency (%)
2.42 1
3.2%
2.59 1
3.2%
2.72 1
3.2%
2.74 1
3.2%
2.8 1
3.2%
2.94 1
3.2%
2.95 1
3.2%
3.0 1
3.2%
3.03 1
3.2%
3.04 1
3.2%
ValueCountFrequency (%)
3.99 1
3.2%
3.91 1
3.2%
3.87 1
3.2%
3.82 1
3.2%
3.74 1
3.2%
3.67 1
3.2%
3.62 1
3.2%
3.61 1
3.2%
3.43 1
3.2%
3.38 1
3.2%

배출횟수
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1270421
Minimum1010497
Maximum1570016
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-10T21:28:27.720534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1010497
5-th percentile1084887
Q11185657
median1240725
Q31334541.5
95-th percentile1537056.5
Maximum1570016
Range559519
Interquartile range (IQR)148884.5

Descriptive statistics

Standard deviation139095.23
Coefficient of variation (CV)0.10948751
Kurtosis0.11706203
Mean1270421
Median Absolute Deviation (MAD)62304
Skewness0.64644702
Sum39383052
Variance1.9347483 × 1010
MonotonicityNot monotonic
2023-12-10T21:28:27.956822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
1292167 1
 
3.2%
1355388 1
 
3.2%
1538922 1
 
3.2%
1257582 1
 
3.2%
1113839 1
 
3.2%
1123999 1
 
3.2%
1336197 1
 
3.2%
1159896 1
 
3.2%
1369485 1
 
3.2%
1570016 1
 
3.2%
Other values (21) 21
67.7%
ValueCountFrequency (%)
1010497 1
3.2%
1055935 1
3.2%
1113839 1
3.2%
1123999 1
3.2%
1145761 1
3.2%
1159896 1
3.2%
1178421 1
3.2%
1185240 1
3.2%
1186074 1
3.2%
1214167 1
3.2%
ValueCountFrequency (%)
1570016 1
3.2%
1538922 1
3.2%
1535191 1
3.2%
1501151 1
3.2%
1485034 1
3.2%
1369485 1
3.2%
1355388 1
3.2%
1336197 1
3.2%
1332886 1
3.2%
1292167 1
3.2%

배출횟수비율(%)
Real number (ℝ)

HIGH CORRELATION 

Distinct28
Distinct (%)90.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.2254839
Minimum2.57
Maximum3.99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-10T21:28:28.164679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.57
5-th percentile2.755
Q13.01
median3.15
Q33.385
95-th percentile3.905
Maximum3.99
Range1.42
Interquartile range (IQR)0.375

Descriptive statistics

Standard deviation0.35339156
Coefficient of variation (CV)0.10956234
Kurtosis0.12703011
Mean3.2254839
Median Absolute Deviation (MAD)0.16
Skewness0.6591024
Sum99.99
Variance0.12488559
MonotonicityNot monotonic
2023-12-10T21:28:28.371433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
3.01 2
 
6.5%
3.2 2
 
6.5%
3.19 2
 
6.5%
3.28 1
 
3.2%
3.11 1
 
3.2%
3.91 1
 
3.2%
2.83 1
 
3.2%
2.85 1
 
3.2%
3.39 1
 
3.2%
2.95 1
 
3.2%
Other values (18) 18
58.1%
ValueCountFrequency (%)
2.57 1
3.2%
2.68 1
3.2%
2.83 1
3.2%
2.85 1
3.2%
2.91 1
3.2%
2.95 1
3.2%
2.99 1
3.2%
3.01 2
6.5%
3.08 1
3.2%
3.1 1
3.2%
ValueCountFrequency (%)
3.99 1
3.2%
3.91 1
3.2%
3.9 1
3.2%
3.81 1
3.2%
3.77 1
3.2%
3.48 1
3.2%
3.44 1
3.2%
3.39 1
3.2%
3.38 1
3.2%
3.28 1
3.2%

Interactions

2023-12-10T21:28:23.002588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:28:17.874428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:28:18.824399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:28:19.994276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:28:21.011753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:28:22.020730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:28:23.544900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:28:18.044707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:28:18.951590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:28:20.180193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:28:21.173075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:28:22.268378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:28:23.778491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:28:18.197210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:28:19.099724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:28:20.354582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:28:21.336000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:28:22.414780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:28:24.005207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:28:18.342229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:28:19.341473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:28:20.497478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:28:21.526366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:28:22.543279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:28:24.268677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:28:18.512907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:28:19.603319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:28:20.667218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:28:21.682220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:28:22.703730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:28:24.566053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:28:18.676758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:28:19.799376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:28:20.810743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:28:21.814647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:28:22.846241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T21:28:28.516668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
배출일배출요일배출량(g)배출량비율(%)배출횟수배출횟수비율(%)
배출일1.0000.0000.0000.0000.0000.478
배출요일0.0001.0000.6630.6880.6500.651
배출량(g)0.0000.6631.0001.0000.9460.944
배출량비율(%)0.0000.6881.0001.0000.9460.868
배출횟수0.0000.6500.9460.9461.0000.998
배출횟수비율(%)0.4780.6510.9440.8680.9981.000
2023-12-10T21:28:28.682247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
배출일배출요일배출량(g)배출량비율(%)배출횟수배출횟수비율(%)
배출일1.000-0.010-0.077-0.075-0.050-0.049
배출요일-0.0101.000-0.557-0.559-0.492-0.494
배출량(g)-0.077-0.5571.0001.0000.9560.955
배출량비율(%)-0.075-0.5591.0001.0000.9570.956
배출횟수-0.050-0.4920.9560.9571.0001.000
배출횟수비율(%)-0.049-0.4940.9550.9561.0001.000

Missing values

2023-12-10T21:28:24.770684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T21:28:24.966616image/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(%)
0202111624391034213.3812921673.28
1202112726107345553.6113553883.44
2202113128250258503.9115351913.9
3202114226178572883.6213328863.38
4202115322579060733.1212334113.13
5202116421925416903.0312407253.15
6202117517469065182.4210104972.57
7202118618712698332.5910559352.68
8202119721692544523.011860743.01
92021110127569093123.8214850343.77
배출년도배출월배출일배출요일배출량(g)배출량비율(%)배출횟수배출횟수비율(%)
212021122622446176643.1112381283.14
222021123723121950073.212592583.2
232021124128819994783.9915700163.99
242021125226515485883.6713694853.48
252021126321340081032.9511598962.95
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