Overview

Dataset statistics

Number of variables4
Number of observations2298
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory74.2 KiB
Average record size in memory33.1 B

Variable types

Categorical1
DateTime2
Numeric1

Dataset

Description2020년 2월 27일 기준 괴산군 수위정보 (지역명, 날짜, 수위) 파일데이터입니다. 자세한 사항은 괴산군으로 문의 주시기 바랍니다.
Author충청북도 괴산군
URLhttps://www.data.go.kr/data/15049988/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
수위(Cm) is highly skewed (γ1 = 47.93735476)Skewed
수위(Cm) has 69 (3.0%) zerosZeros

Reproduction

Analysis started2023-12-12 04:29:32.029338
Analysis finished2023-12-12 04:29:32.585389
Duration0.56 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

지역명
Categorical

Distinct7
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size18.1 KiB
도원교
330 
구기교
329 
칠성교
329 
후평교
329 
수전교
328 
Other values (2)
653 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
도원교 330
14.4%
구기교 329
14.3%
칠성교 329
14.3%
후평교 329
14.3%
수전교 328
14.3%
교동교 328
14.3%
괴강교 325
14.1%

Length

2023-12-12T13:29:32.667439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:29:32.826234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
도원교 330
14.4%
구기교 329
14.3%
칠성교 329
14.3%
후평교 329
14.3%
수전교 328
14.3%
교동교 328
14.3%
괴강교 325
14.1%

날짜
Date

Distinct330
Distinct (%)14.4%
Missing0
Missing (%)0.0%
Memory size18.1 KiB
Minimum2015-06-01 00:00:00
Maximum2018-07-24 00:00:00
2023-12-12T13:29:33.010108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:29:33.201216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

수위(Cm)
Real number (ℝ)

SKEWED  ZEROS 

Distinct197
Distinct (%)8.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean863.92907
Minimum-945
Maximum1848268
Zeros69
Zeros (%)3.0%
Negative1
Negative (%)< 0.1%
Memory size20.3 KiB
2023-12-12T13:29:33.441529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-945
5-th percentile9
Q128.25
median62
Q383
95-th percentile126.15
Maximum1848268
Range1849213
Interquartile range (IQR)54.75

Descriptive statistics

Standard deviation38554.602
Coefficient of variation (CV)44.627046
Kurtosis2297.9933
Mean863.92907
Median Absolute Deviation (MAD)26
Skewness47.937355
Sum1985309
Variance1.4864574 × 109
MonotonicityNot monotonic
2023-12-12T13:29:33.660321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 69
 
3.0%
63 57
 
2.5%
21 56
 
2.4%
24 54
 
2.3%
62 51
 
2.2%
68 46
 
2.0%
67 43
 
1.9%
86 42
 
1.8%
87 42
 
1.8%
30 41
 
1.8%
Other values (187) 1797
78.2%
ValueCountFrequency (%)
-945 1
 
< 0.1%
0 69
3.0%
1 7
 
0.3%
2 7
 
0.3%
4 2
 
0.1%
5 10
 
0.4%
6 2
 
0.1%
7 10
 
0.4%
8 6
 
0.3%
9 7
 
0.3%
ValueCountFrequency (%)
1848268 1
< 0.1%
443 1
< 0.1%
370 1
< 0.1%
342 1
< 0.1%
327 1
< 0.1%
315 1
< 0.1%
306 1
< 0.1%
282 1
< 0.1%
268 1
< 0.1%
247 1
< 0.1%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size18.1 KiB
Minimum2020-02-27 00:00:00
Maximum2020-02-27 00:00:00
2023-12-12T13:29:33.832618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:29:33.969740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T13:29:32.171659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T13:29:34.063538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지역명수위(Cm)
지역명1.0000.001
수위(Cm)0.0011.000
2023-12-12T13:29:34.186077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
수위(Cm)지역명
수위(Cm)1.0000.002
지역명0.0021.000

Missing values

2023-12-12T13:29:32.407039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T13:29:32.535903image/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

지역명날짜수위(Cm)데이터기준일자
0괴강교2015-06-01402020-02-27
1괴강교2015-06-02412020-02-27
2괴강교2015-06-03402020-02-27
3괴강교2015-06-04402020-02-27
4괴강교2015-06-05402020-02-27
5괴강교2015-06-06432020-02-27
6괴강교2015-06-07402020-02-27
7괴강교2015-06-08402020-02-27
8괴강교2015-06-09402020-02-27
9괴강교2015-06-10422020-02-27
지역명날짜수위(Cm)데이터기준일자
2288도원교2018-07-15702020-02-27
2289도원교2018-07-16672020-02-27
2290도원교2018-07-17652020-02-27
2291도원교2018-07-18622020-02-27
2292도원교2018-07-19622020-02-27
2293도원교2018-07-20612020-02-27
2294도원교2018-07-21572020-02-27
2295도원교2018-07-22582020-02-27
2296도원교2018-07-23572020-02-27
2297도원교2018-07-24572020-02-27