Overview

Dataset statistics

Number of variables7
Number of observations100
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.1 KiB
Average record size in memory62.3 B

Variable types

Numeric2
Categorical5

Alerts

측정일 has constant value ""Constant
강수량(mm) has constant value ""Constant
강우량(mm) has constant value ""Constant
주소 is highly overall correlated with 기본키 and 1 other fieldsHigh correlation
지점 is highly overall correlated with 기본키 and 1 other fieldsHigh correlation
기본키 is highly overall correlated with 지점 and 1 other fieldsHigh correlation
기본키 has unique valuesUnique

Reproduction

Analysis started2023-12-10 13:42:56.714151
Analysis finished2023-12-10 13:42:57.864740
Duration1.15 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기본키
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50.5
Minimum1
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T22:42:58.002951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.95
Q125.75
median50.5
Q375.25
95-th percentile95.05
Maximum100
Range99
Interquartile range (IQR)49.5

Descriptive statistics

Standard deviation29.011492
Coefficient of variation (CV)0.57448499
Kurtosis-1.2
Mean50.5
Median Absolute Deviation (MAD)25
Skewness0
Sum5050
Variance841.66667
MonotonicityStrictly increasing
2023-12-10T22:42:58.277218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.0%
65 1
 
1.0%
75 1
 
1.0%
74 1
 
1.0%
73 1
 
1.0%
72 1
 
1.0%
71 1
 
1.0%
70 1
 
1.0%
69 1
 
1.0%
68 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
1 1
1.0%
2 1
1.0%
3 1
1.0%
4 1
1.0%
5 1
1.0%
6 1
1.0%
7 1
1.0%
8 1
1.0%
9 1
1.0%
10 1
1.0%
ValueCountFrequency (%)
100 1
1.0%
99 1
1.0%
98 1
1.0%
97 1
1.0%
96 1
1.0%
95 1
1.0%
94 1
1.0%
93 1
1.0%
92 1
1.0%
91 1
1.0%

측정일
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
20201101
100 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row20201101
2nd row20201101
3rd row20201101
4th row20201101
5th row20201101

Common Values

ValueCountFrequency (%)
20201101 100
100.0%

Length

2023-12-10T22:42:58.512555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:42:58.994951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20201101 100
100.0%

측정시간
Real number (ℝ)

Distinct74
Distinct (%)74.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean766.5
Minimum15
Maximum1830
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T22:42:59.176659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum15
5-th percentile45
Q1315
median622.5
Q31218.75
95-th percentile1715.75
Maximum1830
Range1815
Interquartile range (IQR)903.75

Descriptive statistics

Standard deviation540.90856
Coefficient of variation (CV)0.70568631
Kurtosis-1.0694841
Mean766.5
Median Absolute Deviation (MAD)407.5
Skewness0.4339995
Sum76650
Variance292582.07
MonotonicityNot monotonic
2023-12-10T22:42:59.458951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15 2
 
2.0%
345 2
 
2.0%
30 2
 
2.0%
615 2
 
2.0%
600 2
 
2.0%
545 2
 
2.0%
530 2
 
2.0%
515 2
 
2.0%
500 2
 
2.0%
445 2
 
2.0%
Other values (64) 80
80.0%
ValueCountFrequency (%)
15 2
2.0%
30 2
2.0%
45 2
2.0%
100 2
2.0%
115 2
2.0%
130 2
2.0%
145 2
2.0%
200 2
2.0%
215 2
2.0%
230 2
2.0%
ValueCountFrequency (%)
1830 1
1.0%
1815 1
1.0%
1800 1
1.0%
1745 1
1.0%
1730 1
1.0%
1715 1
1.0%
1700 1
1.0%
1645 1
1.0%
1630 1
1.0%
1615 1
1.0%

지점
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
A-0010-0391S-6
74 
A-0010-1185E-8
26 

Length

Max length14
Median length14
Mean length14
Min length14

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowA-0010-0391S-6
2nd rowA-0010-0391S-6
3rd rowA-0010-0391S-6
4th rowA-0010-0391S-6
5th rowA-0010-0391S-6

Common Values

ValueCountFrequency (%)
A-0010-0391S-6 74
74.0%
A-0010-1185E-8 26
 
26.0%

Length

2023-12-10T22:42:59.681932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:42:59.834846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
a-0010-0391s-6 74
74.0%
a-0010-1185e-8 26
 
26.0%

주소
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
울산 울주군 삼남면
74 
대구 동구 안심3동
26 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row울산 울주군 삼남면
2nd row울산 울주군 삼남면
3rd row울산 울주군 삼남면
4th row울산 울주군 삼남면
5th row울산 울주군 삼남면

Common Values

ValueCountFrequency (%)
울산 울주군 삼남면 74
74.0%
대구 동구 안심3동 26
 
26.0%

Length

2023-12-10T22:43:00.002505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:43:00.181325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
울산 74
24.7%
울주군 74
24.7%
삼남면 74
24.7%
대구 26
 
8.7%
동구 26
 
8.7%
안심3동 26
 
8.7%

강수량(mm)
Categorical

CONSTANT 

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

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 100
100.0%

Length

2023-12-10T22:43:00.344498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:43:00.527278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 100
100.0%

강우량(mm)
Categorical

CONSTANT 

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

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 100
100.0%

Length

2023-12-10T22:43:00.833566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:43:01.048763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 100
100.0%

Interactions

2023-12-10T22:42:57.282343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:42:56.993235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:42:57.424523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:42:57.134988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T22:43:01.219525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기본키측정시간지점주소
기본키1.0000.9680.9940.994
측정시간0.9681.0000.6100.610
지점0.9940.6101.0000.999
주소0.9940.6100.9991.000
2023-12-10T22:43:01.384654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
주소지점
주소1.0000.974
지점0.9741.000
2023-12-10T22:43:01.535112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기본키측정시간지점주소
기본키1.0000.1810.8900.890
측정시간0.1811.0000.4520.452
지점0.8900.4521.0000.974
주소0.8900.4520.9741.000

Missing values

2023-12-10T22:42:57.610840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T22:42:57.791461image/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

기본키측정일측정시간지점주소강수량(mm)강우량(mm)
012020110115A-0010-0391S-6울산 울주군 삼남면00
122020110130A-0010-0391S-6울산 울주군 삼남면00
232020110145A-0010-0391S-6울산 울주군 삼남면00
3420201101100A-0010-0391S-6울산 울주군 삼남면00
4520201101115A-0010-0391S-6울산 울주군 삼남면00
5620201101130A-0010-0391S-6울산 울주군 삼남면00
6720201101145A-0010-0391S-6울산 울주군 삼남면00
7820201101200A-0010-0391S-6울산 울주군 삼남면00
8920201101215A-0010-0391S-6울산 울주군 삼남면00
91020201101230A-0010-0391S-6울산 울주군 삼남면00
기본키측정일측정시간지점주소강수량(mm)강우량(mm)
909120201101415A-0010-1185E-8대구 동구 안심3동00
919220201101430A-0010-1185E-8대구 동구 안심3동00
929320201101445A-0010-1185E-8대구 동구 안심3동00
939420201101500A-0010-1185E-8대구 동구 안심3동00
949520201101515A-0010-1185E-8대구 동구 안심3동00
959620201101530A-0010-1185E-8대구 동구 안심3동00
969720201101545A-0010-1185E-8대구 동구 안심3동00
979820201101600A-0010-1185E-8대구 동구 안심3동00
989920201101615A-0010-1185E-8대구 동구 안심3동00
9910020201101630A-0010-1185E-8대구 동구 안심3동00