Overview

Dataset statistics

Number of variables3
Number of observations100
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.7 KiB
Average record size in memory27.3 B

Variable types

Categorical1
Numeric2

Alerts

시설명 has constant value ""Constant

Reproduction

Analysis started2023-12-10 12:09:55.821901
Analysis finished2023-12-10 12:09:56.532918
Duration0.71 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시설명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
고령정수장
100 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
고령정수장 100
100.0%

Length

2023-12-10T21:09:56.634854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T21:09:56.756108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
고령정수장 100
100.0%

공급날짜
Real number (ℝ)

Distinct20
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20210110
Minimum20210101
Maximum20210120
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T21:09:56.866268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20210101
5-th percentile20210102
Q120210106
median20210110
Q320210115
95-th percentile20210119
Maximum20210120
Range19
Interquartile range (IQR)9.5

Descriptive statistics

Standard deviation5.7953308
Coefficient of variation (CV)2.8675404 × 10-7
Kurtosis-1.2060745
Mean20210110
Median Absolute Deviation (MAD)5
Skewness0
Sum2.021011 × 109
Variance33.585859
MonotonicityNot monotonic
2023-12-10T21:09:57.034076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
20210117 5
 
5.0%
20210104 5
 
5.0%
20210102 5
 
5.0%
20210107 5
 
5.0%
20210101 5
 
5.0%
20210106 5
 
5.0%
20210105 5
 
5.0%
20210103 5
 
5.0%
20210110 5
 
5.0%
20210109 5
 
5.0%
Other values (10) 50
50.0%
ValueCountFrequency (%)
20210101 5
5.0%
20210102 5
5.0%
20210103 5
5.0%
20210104 5
5.0%
20210105 5
5.0%
20210106 5
5.0%
20210107 5
5.0%
20210108 5
5.0%
20210109 5
5.0%
20210110 5
5.0%
ValueCountFrequency (%)
20210120 5
5.0%
20210119 5
5.0%
20210118 5
5.0%
20210117 5
5.0%
20210116 5
5.0%
20210115 5
5.0%
20210114 5
5.0%
20210113 5
5.0%
20210112 5
5.0%
20210111 5
5.0%

공급량
Real number (ℝ)

Distinct99
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22269.87
Minimum5982
Maximum42208
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T21:09:57.200249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5982
5-th percentile9942.5
Q113775
median22771
Q328424.5
95-th percentile38964.4
Maximum42208
Range36226
Interquartile range (IQR)14649.5

Descriptive statistics

Standard deviation9408.9648
Coefficient of variation (CV)0.42249752
Kurtosis-0.99381742
Mean22269.87
Median Absolute Deviation (MAD)8307
Skewness0.29745669
Sum2226987
Variance88528619
MonotonicityNot monotonic
2023-12-10T21:09:57.379410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13776 2
 
2.0%
11056 1
 
1.0%
21328 1
 
1.0%
29536 1
 
1.0%
10640 1
 
1.0%
24284 1
 
1.0%
9021 1
 
1.0%
6320 1
 
1.0%
12996 1
 
1.0%
19928 1
 
1.0%
Other values (89) 89
89.0%
ValueCountFrequency (%)
5982 1
1.0%
6320 1
1.0%
8981 1
1.0%
9021 1
1.0%
9762 1
1.0%
9952 1
1.0%
10640 1
1.0%
10838 1
1.0%
10973 1
1.0%
11056 1
1.0%
ValueCountFrequency (%)
42208 1
1.0%
40240 1
1.0%
40080 1
1.0%
39400 1
1.0%
39048 1
1.0%
38960 1
1.0%
38296 1
1.0%
37488 1
1.0%
36040 1
1.0%
35944 1
1.0%

Interactions

2023-12-10T21:09:56.135638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:09:55.897904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:09:56.253465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:09:56.005366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T21:09:57.488867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공급날짜공급량
공급날짜1.0000.263
공급량0.2631.000
2023-12-10T21:09:57.606902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공급날짜공급량
공급날짜1.0000.212
공급량0.2121.000

Missing values

2023-12-10T21:09:56.387884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T21:09:56.494144image/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

시설명공급날짜공급량
0고령정수장2021011711056
1고령정수장2021012028857
2고령정수장2021011626304
3고령정수장2021011724368
4고령정수장2021011928212
5고령정수장2021012015544
6고령정수장2021011512018
7고령정수장2021011525680
8고령정수장2021011612926
9고령정수장2021011728319
시설명공급날짜공급량
90고령정수장2021010323487
91고령정수장2021010422184
92고령정수장2021010122998
93고령정수장2021010436040
94고령정수장2021011123136
95고령정수장2021010220408
96고령정수장2021010621168
97고령정수장2021011324672
98고령정수장2021012040240
99고령정수장2021012015049