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 started2024-04-20 13:04:56.663280
Analysis finished2024-04-20 13:04:57.685735
Duration1.02 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시설명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size928.0 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

2024-04-20T22:04:57.812434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T22:04:58.104803image/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%
Mean20201210
Minimum20201201
Maximum20201220
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-04-20T22:04:58.399444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20201201
5-th percentile20201202
Q120201206
median20201210
Q320201215
95-th percentile20201219
Maximum20201220
Range19
Interquartile range (IQR)9.5

Descriptive statistics

Standard deviation5.7953308
Coefficient of variation (CV)2.8688037 × 10-7
Kurtosis-1.2060745
Mean20201210
Median Absolute Deviation (MAD)5
Skewness0
Sum2.020121 × 109
Variance33.585859
MonotonicityNot monotonic
2024-04-20T22:04:58.797827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
20201217 5
 
5.0%
20201212 5
 
5.0%
20201207 5
 
5.0%
20201202 5
 
5.0%
20201201 5
 
5.0%
20201209 5
 
5.0%
20201204 5
 
5.0%
20201203 5
 
5.0%
20201210 5
 
5.0%
20201206 5
 
5.0%
Other values (10) 50
50.0%
ValueCountFrequency (%)
20201201 5
5.0%
20201202 5
5.0%
20201203 5
5.0%
20201204 5
5.0%
20201205 5
5.0%
20201206 5
5.0%
20201207 5
5.0%
20201208 5
5.0%
20201209 5
5.0%
20201210 5
5.0%
ValueCountFrequency (%)
20201220 5
5.0%
20201219 5
5.0%
20201218 5
5.0%
20201217 5
5.0%
20201216 5
5.0%
20201215 5
5.0%
20201214 5
5.0%
20201213 5
5.0%
20201212 5
5.0%
20201211 5
5.0%

공급량
Real number (ℝ)

Distinct98
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20861.88
Minimum10684
Maximum36272
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-04-20T22:04:59.271332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10684
5-th percentile11285.05
Q113357.25
median20920
Q324792.75
95-th percentile34756
Maximum36272
Range25588
Interquartile range (IQR)11435.5

Descriptive statistics

Standard deviation7981.6341
Coefficient of variation (CV)0.38259419
Kurtosis-0.94840876
Mean20861.88
Median Absolute Deviation (MAD)7199
Skewness0.49800515
Sum2086188
Variance63706483
MonotonicityNot monotonic
2024-04-20T22:04:59.709155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15152 2
 
2.0%
12920 2
 
2.0%
23293 1
 
1.0%
14433 1
 
1.0%
25228 1
 
1.0%
33840 1
 
1.0%
14951 1
 
1.0%
11096 1
 
1.0%
13424 1
 
1.0%
24169 1
 
1.0%
Other values (88) 88
88.0%
ValueCountFrequency (%)
10684 1
1.0%
10832 1
1.0%
10900 1
1.0%
11019 1
1.0%
11096 1
1.0%
11295 1
1.0%
11548 1
1.0%
11578 1
1.0%
11847 1
1.0%
11959 1
1.0%
ValueCountFrequency (%)
36272 1
1.0%
36200 1
1.0%
35184 1
1.0%
35016 1
1.0%
34832 1
1.0%
34752 1
1.0%
34464 1
1.0%
34392 1
1.0%
34296 1
1.0%
34288 1
1.0%

Interactions

2024-04-20T22:04:57.132775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-20T22:04:56.763839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-20T22:04:57.314936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-20T22:04:56.982583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-20T22:04:59.972258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공급날짜공급량
공급날짜1.0000.000
공급량0.0001.000
2024-04-20T22:05:00.198744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공급날짜공급량
공급날짜1.000-0.017
공급량-0.0171.000

Missing values

2024-04-20T22:04:57.493700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-20T22:04:57.620850image/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
0고령정수장2020121723293
1고령정수장2020122020488
2고령정수장2020121512397
3고령정수장2020121721048
4고령정수장2020121812080
5고령정수장2020122011295
6고령정수장2020121412022
7고령정수장2020121521160
8고령정수장2020121624596
9고령정수장2020121736200
시설명공급날짜공급량
90고령정수장2020120234288
91고령정수장2020120711578
92고령정수장2020120220800
93고령정수장2020120914152
94고령정수장2020120120872
95고령정수장2020120512168
96고령정수장2020120721344
97고령정수장2020120223820
98고령정수장2020122033008
99고령정수장2020122012520