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 12:09:53.132153
Analysis finished2023-12-10 12:09:54.205275
Duration1.07 second
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

2023-12-10T21:09:54.297888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T21:09:54.388819image/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%
Mean20210210
Minimum20210201
Maximum20210220
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T21:09:54.490614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20210201
5-th percentile20210202
Q120210206
median20210210
Q320210215
95-th percentile20210219
Maximum20210220
Range19
Interquartile range (IQR)9.5

Descriptive statistics

Standard deviation5.7953308
Coefficient of variation (CV)2.8675262 × 10-7
Kurtosis-1.2060745
Mean20210210
Median Absolute Deviation (MAD)5
Skewness0
Sum2.021021 × 109
Variance33.585859
MonotonicityNot monotonic
2023-12-10T21:09:54.656738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
20210219 5
 
5.0%
20210212 5
 
5.0%
20210201 5
 
5.0%
20210203 5
 
5.0%
20210206 5
 
5.0%
20210204 5
 
5.0%
20210202 5
 
5.0%
20210210 5
 
5.0%
20210207 5
 
5.0%
20210205 5
 
5.0%
Other values (10) 50
50.0%
ValueCountFrequency (%)
20210201 5
5.0%
20210202 5
5.0%
20210203 5
5.0%
20210204 5
5.0%
20210205 5
5.0%
20210206 5
5.0%
20210207 5
5.0%
20210208 5
5.0%
20210209 5
5.0%
20210210 5
5.0%
ValueCountFrequency (%)
20210220 5
5.0%
20210219 5
5.0%
20210218 5
5.0%
20210217 5
5.0%
20210216 5
5.0%
20210215 5
5.0%
20210214 5
5.0%
20210213 5
5.0%
20210212 5
5.0%
20210211 5
5.0%

공급량
Real number (ℝ)

Distinct99
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20772.21
Minimum1357
Maximum36968
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T21:09:54.835712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1357
5-th percentile5550
Q113380.75
median22044
Q326367.5
95-th percentile35767.2
Maximum36968
Range35611
Interquartile range (IQR)12986.75

Descriptive statistics

Standard deviation9158.582
Coefficient of variation (CV)0.44090552
Kurtosis-0.77431401
Mean20772.21
Median Absolute Deviation (MAD)8140
Skewness0.028275168
Sum2077221
Variance83879625
MonotonicityNot monotonic
2023-12-10T21:09:55.015149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13848 2
 
2.0%
12496 1
 
1.0%
21984 1
 
1.0%
22504 1
 
1.0%
25318 1
 
1.0%
36688 1
 
1.0%
10574 1
 
1.0%
25968 1
 
1.0%
22704 1
 
1.0%
36968 1
 
1.0%
Other values (89) 89
89.0%
ValueCountFrequency (%)
1357 1
1.0%
2655 1
1.0%
3368 1
1.0%
3672 1
1.0%
5341 1
1.0%
5561 1
1.0%
6360 1
1.0%
6688 1
1.0%
10574 1
1.0%
10912 1
1.0%
ValueCountFrequency (%)
36968 1
1.0%
36960 1
1.0%
36688 1
1.0%
36392 1
1.0%
36208 1
1.0%
35744 1
1.0%
35496 1
1.0%
35480 1
1.0%
35424 1
1.0%
35072 1
1.0%

Interactions

2023-12-10T21:09:53.477838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:09:53.217639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:09:53.625617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:09:53.335119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T21:09:55.115198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공급날짜공급량
공급날짜1.0000.359
공급량0.3591.000
2023-12-10T21:09:55.197937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공급날짜공급량
공급날짜1.000-0.135
공급량-0.1351.000

Missing values

2023-12-10T21:09:54.034220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T21:09:54.154193image/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
0고령정수장2021021912496
1고령정수장2021022021856
2고령정수장2021021635480
3고령정수장2021021825401
4고령정수장2021021911714
5고령정수장2021022012520
6고령정수장2021021532352
7고령정수장2021021613476
8고령정수장2021021713848
9고령정수장2021021813350
시설명공급날짜공급량
90고령정수장2021020112880
91고령정수장2021020313848
92고령정수장202102121357
93고령정수장2021021012371
94고령정수장2021020913625
95고령정수장2021020214004
96고령정수장2021020812816
97고령정수장2021020725989
98고령정수장2021022012553
99고령정수장2021022026168