Overview

Dataset statistics

Number of variables5
Number of observations100
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.4 KiB
Average record size in memory45.3 B

Variable types

Categorical1
Numeric4

Alerts

시설명 has constant value ""Constant
관측일자 is highly overall correlated with 저수위 and 2 other fieldsHigh correlation
저수위 is highly overall correlated with 관측일자 and 2 other fieldsHigh correlation
저수량 is highly overall correlated with 관측일자 and 2 other fieldsHigh correlation
저수율 is highly overall correlated with 관측일자 and 2 other fieldsHigh correlation
관측일자 has unique valuesUnique

Reproduction

Analysis started2023-12-10 13:30:37.228151
Analysis finished2023-12-10 13:30:39.675361
Duration2.45 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
횡성
100 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
횡성 100
100.0%

Length

2023-12-10T22:30:39.770356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:30:39.907448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
횡성 100
100.0%

관측일자
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20210235
Minimum20210101
Maximum20210410
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T22:30:40.087255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20210101
5-th percentile20210106
Q120210126
median20210220
Q320210316
95-th percentile20210405
Maximum20210410
Range309
Interquartile range (IQR)190.5

Descriptive statistics

Standard deviation98.046521
Coefficient of variation (CV)4.8513302 × 10-6
Kurtosis-1.1930186
Mean20210235
Median Absolute Deviation (MAD)95.5
Skewness0.15908349
Sum2.0210235 × 109
Variance9613.1203
MonotonicityStrictly increasing
2023-12-10T22:30:40.322991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20210101 1
 
1.0%
20210306 1
 
1.0%
20210316 1
 
1.0%
20210315 1
 
1.0%
20210314 1
 
1.0%
20210313 1
 
1.0%
20210312 1
 
1.0%
20210311 1
 
1.0%
20210310 1
 
1.0%
20210309 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
20210101 1
1.0%
20210102 1
1.0%
20210103 1
1.0%
20210104 1
1.0%
20210105 1
1.0%
20210106 1
1.0%
20210107 1
1.0%
20210108 1
1.0%
20210109 1
1.0%
20210110 1
1.0%
ValueCountFrequency (%)
20210410 1
1.0%
20210409 1
1.0%
20210408 1
1.0%
20210407 1
1.0%
20210406 1
1.0%
20210405 1
1.0%
20210404 1
1.0%
20210403 1
1.0%
20210402 1
1.0%
20210401 1
1.0%

저수위
Real number (ℝ)

HIGH CORRELATION 

Distinct78
Distinct (%)78.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean172.9882
Minimum172.05
Maximum174.55
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T22:30:40.519506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum172.05
5-th percentile172.2295
Q1172.4375
median172.72
Q3173.45
95-th percentile174.3425
Maximum174.55
Range2.5
Interquartile range (IQR)1.0125

Descriptive statistics

Standard deviation0.69535164
Coefficient of variation (CV)0.0040196478
Kurtosis-0.67737326
Mean172.9882
Median Absolute Deviation (MAD)0.36
Skewness0.75504455
Sum17298.82
Variance0.4835139
MonotonicityNot monotonic
2023-12-10T22:30:40.680428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
172.47 10
 
10.0%
172.36 3
 
3.0%
172.39 3
 
3.0%
172.42 3
 
3.0%
172.44 3
 
3.0%
172.45 3
 
3.0%
172.43 2
 
2.0%
172.46 2
 
2.0%
172.4 2
 
2.0%
172.23 1
 
1.0%
Other values (68) 68
68.0%
ValueCountFrequency (%)
172.05 1
1.0%
172.1 1
1.0%
172.14 1
1.0%
172.19 1
1.0%
172.22 1
1.0%
172.23 1
1.0%
172.27 1
1.0%
172.32 1
1.0%
172.34 1
1.0%
172.35 1
1.0%
ValueCountFrequency (%)
174.55 1
1.0%
174.51 1
1.0%
174.47 1
1.0%
174.43 1
1.0%
174.39 1
1.0%
174.34 1
1.0%
174.29 1
1.0%
174.25 1
1.0%
174.2 1
1.0%
174.15 1
1.0%

저수량
Real number (ℝ)

HIGH CORRELATION 

Distinct78
Distinct (%)78.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50.83391
Minimum46.826
Maximum57.829
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T22:30:41.248776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46.826
5-th percentile47.56495
Q148.4315
median49.6245
Q352.7975
95-th percentile56.85665
Maximum57.829
Range11.003
Interquartile range (IQR)4.366

Descriptive statistics

Standard deviation3.0508985
Coefficient of variation (CV)0.060016995
Kurtosis-0.59102009
Mean50.83391
Median Absolute Deviation (MAD)1.5175
Skewness0.79928825
Sum5083.391
Variance9.3079819
MonotonicityNot monotonic
2023-12-10T22:30:41.410696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
48.568 10
 
10.0%
48.107 3
 
3.0%
48.233 3
 
3.0%
48.358 3
 
3.0%
48.442 3
 
3.0%
48.484 3
 
3.0%
48.4 2
 
2.0%
48.526 2
 
2.0%
48.274 2
 
2.0%
47.567 1
 
1.0%
Other values (68) 68
68.0%
ValueCountFrequency (%)
46.826 1
1.0%
47.031 1
1.0%
47.195 1
1.0%
47.402 1
1.0%
47.526 1
1.0%
47.567 1
1.0%
47.733 1
1.0%
47.941 1
1.0%
48.024 1
1.0%
48.066 1
1.0%
ValueCountFrequency (%)
57.829 1
1.0%
57.641 1
1.0%
57.453 1
1.0%
57.265 1
1.0%
57.078 1
1.0%
56.845 1
1.0%
56.612 1
1.0%
56.426 1
1.0%
56.195 1
1.0%
55.964 1
1.0%

저수율
Real number (ℝ)

HIGH CORRELATION 

Distinct68
Distinct (%)68.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean58.499
Minimum53.9
Maximum66.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T22:30:41.588241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum53.9
5-th percentile54.7
Q155.7
median57.1
Q360.75
95-th percentile65.415
Maximum66.6
Range12.7
Interquartile range (IQR)5.05

Descriptive statistics

Standard deviation3.5111797
Coefficient of variation (CV)0.060021192
Kurtosis-0.58695216
Mean58.499
Median Absolute Deviation (MAD)1.7
Skewness0.80339778
Sum5849.9
Variance12.328383
MonotonicityNot monotonic
2023-12-10T22:30:41.752854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
55.9 10
 
10.0%
55.7 8
 
8.0%
55.8 5
 
5.0%
55.4 4
 
4.0%
55.6 3
 
3.0%
55.5 3
 
3.0%
54.7 2
 
2.0%
60.3 2
 
2.0%
58.8 2
 
2.0%
57.8 2
 
2.0%
Other values (58) 59
59.0%
ValueCountFrequency (%)
53.9 1
 
1.0%
54.1 1
 
1.0%
54.3 1
 
1.0%
54.6 1
 
1.0%
54.7 2
2.0%
54.9 1
 
1.0%
55.2 1
 
1.0%
55.3 2
2.0%
55.4 4
4.0%
55.5 3
3.0%
ValueCountFrequency (%)
66.6 1
1.0%
66.3 1
1.0%
66.1 1
1.0%
65.9 1
1.0%
65.7 1
1.0%
65.4 1
1.0%
65.2 1
1.0%
64.9 1
1.0%
64.7 1
1.0%
64.4 1
1.0%

Interactions

2023-12-10T22:30:38.953731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:30:37.418980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:30:37.964677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:30:38.462255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:30:39.076971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:30:37.559060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:30:38.095283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:30:38.608324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:30:39.207488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:30:37.705700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:30:38.211932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:30:38.735507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:30:39.322516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:30:37.828480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:30:38.330477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:30:38.845519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T22:30:41.962245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
관측일자저수위저수량저수율
관측일자1.0000.7960.8040.798
저수위0.7961.0000.9970.996
저수량0.8040.9971.0001.000
저수율0.7980.9961.0001.000
2023-12-10T22:30:42.103761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
관측일자저수위저수량저수율
관측일자1.000-0.706-0.706-0.703
저수위-0.7061.0001.0001.000
저수량-0.7061.0001.0001.000
저수율-0.7031.0001.0001.000

Missing values

2023-12-10T22:30:39.482762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T22:30:39.624823image/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

시설명관측일자저수위저수량저수율
0횡성20210101174.5557.82966.6
1횡성20210102174.5157.64166.3
2횡성20210103174.4757.45366.1
3횡성20210104174.4357.26565.9
4횡성20210105174.3957.07865.7
5횡성20210106174.3456.84565.4
6횡성20210107174.2956.61265.2
7횡성20210108174.2556.42664.9
8횡성20210109174.256.19564.7
9횡성20210110174.1555.96464.4
시설명관측일자저수위저수량저수율
90횡성20210401172.4548.48455.8
91횡성20210402172.4548.48455.8
92횡성20210403172.5148.73656.1
93횡성20210404172.8650.22357.8
94횡성20210405173.0651.08658.8
95횡성20210406173.1751.56559.3
96횡성20210407173.2451.87159.7
97횡성20210408173.352.13560.0
98횡성20210409173.3352.26760.2
99횡성20210410173.3552.35560.3