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 12:27:38.076504
Analysis finished2023-12-10 12:27:45.446156
Duration7.37 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

2023-12-10T21:27:45.568982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T21:27:45.798237image/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
5
31 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row5
2nd row5
3rd row5
4th row5
5th row5

Common Values

ValueCountFrequency (%)
5 31
100.0%

Length

2023-12-10T21:27:45.986613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T21:27:46.148446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
5 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
2023-12-10T21:27:46.336048image/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
2023-12-10T21:27:46.541126image/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%
Mean3.9354839
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-10T21:27:46.744384image/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)0.53676531
Kurtosis-1.3551659
Mean3.9354839
Median Absolute Deviation (MAD)2
Skewness0.06773365
Sum122
Variance4.4623656
MonotonicityNot monotonic
2023-12-10T21:27:46.963853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
7 5
16.1%
1 5
16.1%
2 5
16.1%
3 4
12.9%
4 4
12.9%
5 4
12.9%
6 4
12.9%
ValueCountFrequency (%)
1 5
16.1%
2 5
16.1%
3 4
12.9%
4 4
12.9%
5 4
12.9%
6 4
12.9%
7 5
16.1%
ValueCountFrequency (%)
7 5
16.1%
6 4
12.9%
5 4
12.9%
4 4
12.9%
3 4
12.9%
2 5
16.1%
1 5
16.1%

배출량(g)
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.5186618 × 109
Minimum1.9034382 × 109
Maximum3.0321528 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-10T21:27:47.244770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.9034382 × 109
5-th percentile2.147022 × 109
Q12.3676476 × 109
median2.4560643 × 109
Q32.710326 × 109
95-th percentile2.9576337 × 109
Maximum3.0321528 × 109
Range1.1287146 × 109
Interquartile range (IQR)3.4267836 × 108

Descriptive statistics

Standard deviation2.7412421 × 108
Coefficient of variation (CV)0.10883724
Kurtosis-0.38473401
Mean2.5186618 × 109
Median Absolute Deviation (MAD)1.8549513 × 108
Skewness0.091208457
Sum7.8078517 × 1010
Variance7.514408 × 1016
MonotonicityNot monotonic
2023-12-10T21:27:47.564321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
2101030627 1
 
3.2%
2761474190 1
 
3.2%
2876286206 1
 
3.2%
2915426268 1
 
3.2%
2486935241 1
 
3.2%
2250663530 1
 
3.2%
2270569124 1
 
3.2%
2385824989 1
 
3.2%
2358527636 1
 
3.2%
2824136646 1
 
3.2%
Other values (21) 21
67.7%
ValueCountFrequency (%)
1903438225 1
3.2%
2101030627 1
3.2%
2193013326 1
3.2%
2250663530 1
3.2%
2260110513 1
3.2%
2270569124 1
3.2%
2275925575 1
3.2%
2358527636 1
3.2%
2376767619 1
3.2%
2383018688 1
3.2%
ValueCountFrequency (%)
3032152775 1
3.2%
2999841191 1
3.2%
2915426268 1
3.2%
2911096700 1
3.2%
2876286206 1
3.2%
2824136646 1
3.2%
2761474190 1
3.2%
2726206136 1
3.2%
2694445846 1
3.2%
2652413318 1
3.2%

배출량비율(%)
Real number (ℝ)

HIGH CORRELATION 

Distinct28
Distinct (%)90.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.2254839
Minimum2.44
Maximum3.88
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-10T21:27:47.820863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.44
5-th percentile2.75
Q13.03
median3.15
Q33.47
95-th percentile3.785
Maximum3.88
Range1.44
Interquartile range (IQR)0.44

Descriptive statistics

Standard deviation0.35091156
Coefficient of variation (CV)0.10879346
Kurtosis-0.40509065
Mean3.2254839
Median Absolute Deviation (MAD)0.24
Skewness0.087033517
Sum99.99
Variance0.12313892
MonotonicityNot monotonic
2023-12-10T21:27:48.073488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
3.05 2
 
6.5%
3.73 2
 
6.5%
2.91 2
 
6.5%
2.69 1
 
3.2%
3.27 1
 
3.2%
3.68 1
 
3.2%
3.19 1
 
3.2%
2.88 1
 
3.2%
3.06 1
 
3.2%
3.02 1
 
3.2%
Other values (18) 18
58.1%
ValueCountFrequency (%)
2.44 1
3.2%
2.69 1
3.2%
2.81 1
3.2%
2.88 1
3.2%
2.89 1
3.2%
2.91 2
6.5%
3.02 1
3.2%
3.04 1
3.2%
3.05 2
6.5%
3.06 1
3.2%
ValueCountFrequency (%)
3.88 1
3.2%
3.84 1
3.2%
3.73 2
6.5%
3.68 1
3.2%
3.62 1
3.2%
3.54 1
3.2%
3.49 1
3.2%
3.45 1
3.2%
3.4 1
3.2%
3.36 1
3.2%

배출횟수
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1459265.1
Minimum1082913
Maximum1768381
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-10T21:27:48.293492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1082913
5-th percentile1264216
Q11381208
median1448660
Q31573337
95-th percentile1691042
Maximum1768381
Range685468
Interquartile range (IQR)192129

Descriptive statistics

Standard deviation144679.44
Coefficient of variation (CV)0.099145414
Kurtosis0.57944559
Mean1459265.1
Median Absolute Deviation (MAD)75354
Skewness-0.10342455
Sum45237218
Variance2.0932141 × 1010
MonotonicityNot monotonic
2023-12-10T21:27:48.514689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
1243439 1
 
3.2%
1627392 1
 
3.2%
1588154 1
 
3.2%
1699753 1
 
3.2%
1448660 1
 
3.2%
1345248 1
 
3.2%
1388315 1
 
3.2%
1471088 1
 
3.2%
1373306 1
 
3.2%
1565836 1
 
3.2%
Other values (21) 21
67.7%
ValueCountFrequency (%)
1082913 1
3.2%
1243439 1
3.2%
1284993 1
3.2%
1288740 1
3.2%
1322317 1
3.2%
1345248 1
3.2%
1373306 1
3.2%
1374101 1
3.2%
1388315 1
3.2%
1391261 1
3.2%
ValueCountFrequency (%)
1768381 1
3.2%
1699753 1
3.2%
1682331 1
3.2%
1627392 1
3.2%
1617589 1
3.2%
1593402 1
3.2%
1588154 1
3.2%
1580838 1
3.2%
1565836 1
3.2%
1507982 1
3.2%

배출횟수비율(%)
Real number (ℝ)

HIGH CORRELATION 

Distinct28
Distinct (%)90.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.226129
Minimum2.39
Maximum3.91
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-10T21:27:48.706707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.39
5-th percentile2.795
Q13.055
median3.2
Q33.475
95-th percentile3.74
Maximum3.91
Range1.52
Interquartile range (IQR)0.42

Descriptive statistics

Standard deviation0.32018409
Coefficient of variation (CV)0.099247142
Kurtosis0.61010389
Mean3.226129
Median Absolute Deviation (MAD)0.16
Skewness-0.10906388
Sum100.01
Variance0.10251785
MonotonicityNot monotonic
2023-12-10T21:27:49.040974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
3.22 2
 
6.5%
3.04 2
 
6.5%
3.19 2
 
6.5%
2.75 1
 
3.2%
3.52 1
 
3.2%
3.51 1
 
3.2%
3.76 1
 
3.2%
3.2 1
 
3.2%
2.97 1
 
3.2%
3.07 1
 
3.2%
Other values (18) 18
58.1%
ValueCountFrequency (%)
2.39 1
3.2%
2.75 1
3.2%
2.84 1
3.2%
2.85 1
3.2%
2.92 1
3.2%
2.97 1
3.2%
3.04 2
6.5%
3.07 1
3.2%
3.08 1
3.2%
3.13 1
3.2%
ValueCountFrequency (%)
3.91 1
3.2%
3.76 1
3.2%
3.72 1
3.2%
3.6 1
3.2%
3.58 1
3.2%
3.52 1
3.2%
3.51 1
3.2%
3.49 1
3.2%
3.46 1
3.2%
3.33 1
3.2%

Interactions

2023-12-10T21:27:43.851799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:27:38.428967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:27:39.374629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:27:40.336985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:27:41.261975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:27:42.582507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:27:44.011917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:27:38.571498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:27:39.580256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:27:40.501200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:27:41.404281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:27:42.751667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:27:44.167685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:27:38.759126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:27:39.714125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:27:40.657804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:27:41.669105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:27:42.901725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:27:44.309237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:27:38.898062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:27:39.868579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:27:40.825161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:27:41.862150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:27:43.053261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:27:44.479074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:27:39.030295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:27:40.055751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:27:40.960520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:27:42.014052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:27:43.494611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:27:44.667908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:27:39.207962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:27:40.196360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:27:41.108910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:27:42.257618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:27:43.711822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T21:27:49.235273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
배출일배출요일배출량(g)배출량비율(%)배출횟수배출횟수비율(%)
배출일1.0000.0000.0000.0000.0000.000
배출요일0.0001.0000.3470.4050.3240.359
배출량(g)0.0000.3471.0001.0000.8390.797
배출량비율(%)0.0000.4051.0001.0000.8390.854
배출횟수0.0000.3240.8390.8391.0000.998
배출횟수비율(%)0.0000.3590.7970.8540.9981.000
2023-12-10T21:27:49.471755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
배출일배출요일배출량(g)배출량비율(%)배출횟수배출횟수비율(%)
배출일1.000-0.0100.1770.1750.2390.240
배출요일-0.0101.000-0.676-0.679-0.619-0.623
배출량(g)0.177-0.6761.0001.0000.9260.925
배출량비율(%)0.175-0.6791.0001.0000.9280.927
배출횟수0.239-0.6190.9260.9281.0001.000
배출횟수비율(%)0.240-0.6230.9250.9271.0001.000

Missing values

2023-12-10T21:27:45.069657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T21:27:45.360873image/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(%)
0202151721010306272.6912434392.75
1202152127614741903.5416273923.6
2202153226524133183.414563903.22
3202154319034382252.4410829132.39
4202155426944458463.4515808383.49
5202156524560642513.1514330373.17
6202157621930133262.8112849932.84
7202158723830942283.0513741013.04
8202159129110967003.7316823313.72
92021510225607040633.2813912613.08
배출년도배출월배출일배출요일배출량(g)배출량비율(%)배출횟수배출횟수비율(%)
212021522726082074383.3415079823.33
222021523130321527753.8817683813.91
232021524228241366463.6215658363.46
242021525323585276363.0213733063.04
252021526423858249893.0614710883.25
262021527522705691242.9113883153.07
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