Overview

Dataset statistics

Number of variables3
Number of observations100
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.8 KiB
Average record size in memory28.3 B

Variable types

Numeric2
Categorical1

Dataset

Description샘플 데이터
Author한국기상산업기술원
URLhttps://www.bigdata-environment.kr/user/data_market/detail.do?id=17f23cd0-340a-11ea-b188-892391b61e47

Alerts

대규모강수율(%) has constant value ""Constant
경도 is highly overall correlated with 위도High correlation
위도 is highly overall correlated with 경도High correlation
경도 has unique valuesUnique
위도 has unique valuesUnique

Reproduction

Analysis started2023-12-10 10:52:00.839485
Analysis finished2023-12-10 10:52:01.714643
Duration0.88 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

경도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean122.63069
Minimum121.834
Maximum123.427
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:52:01.814256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum121.834
5-th percentile121.9142
Q1122.232
median122.631
Q3123.029
95-th percentile123.3478
Maximum123.427
Range1.593
Interquartile range (IQR)0.797

Descriptive statistics

Standard deviation0.46677769
Coefficient of variation (CV)0.0038063692
Kurtosis-1.200182
Mean122.63069
Median Absolute Deviation (MAD)0.4025
Skewness0.00061339049
Sum12263.069
Variance0.21788141
MonotonicityStrictly increasing
2023-12-10T19:52:02.040476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
121.834 1
 
1.0%
122.864 1
 
1.0%
123.025 1
 
1.0%
123.009 1
 
1.0%
122.993 1
 
1.0%
122.977 1
 
1.0%
122.96 1
 
1.0%
122.944 1
 
1.0%
122.928 1
 
1.0%
122.912 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
121.834 1
1.0%
121.851 1
1.0%
121.867 1
1.0%
121.883 1
1.0%
121.899 1
1.0%
121.915 1
1.0%
121.931 1
1.0%
121.947 1
1.0%
121.963 1
1.0%
121.979 1
1.0%
ValueCountFrequency (%)
123.427 1
1.0%
123.411 1
1.0%
123.395 1
1.0%
123.379 1
1.0%
123.363 1
1.0%
123.347 1
1.0%
123.331 1
1.0%
123.315 1
1.0%
123.299 1
1.0%
123.282 1
1.0%

위도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32.287438
Minimum32.2569
Maximum32.3136
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:52:02.272827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum32.2569
5-th percentile32.260365
Q132.27355
median32.2886
Q332.301925
95-th percentile32.31142
Maximum32.3136
Range0.0567
Interquartile range (IQR)0.028375

Descriptive statistics

Standard deviation0.016645871
Coefficient of variation (CV)0.00051555254
Kurtosis-1.1780996
Mean32.287438
Median Absolute Deviation (MAD)0.0142
Skewness-0.16671444
Sum3228.7438
Variance0.00027708501
MonotonicityStrictly increasing
2023-12-10T19:52:02.504995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
32.2569 1
 
1.0%
32.2966 1
 
1.0%
32.3018 1
 
1.0%
32.3013 1
 
1.0%
32.3008 1
 
1.0%
32.3003 1
 
1.0%
32.2997 1
 
1.0%
32.2992 1
 
1.0%
32.2987 1
 
1.0%
32.2982 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
32.2569 1
1.0%
32.2576 1
1.0%
32.2583 1
1.0%
32.259 1
1.0%
32.2597 1
1.0%
32.2604 1
1.0%
32.2611 1
1.0%
32.2618 1
1.0%
32.2625 1
1.0%
32.2631 1
1.0%
ValueCountFrequency (%)
32.3136 1
1.0%
32.3131 1
1.0%
32.3127 1
1.0%
32.3122 1
1.0%
32.3118 1
1.0%
32.3114 1
1.0%
32.3109 1
1.0%
32.3104 1
1.0%
32.31 1
1.0%
32.3095 1
1.0%

대규모강수율(%)
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

2023-12-10T19:52:02.700142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:52:02.830972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 100
100.0%

Interactions

2023-12-10T19:52:01.239083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T19:52:00.929065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T19:52:01.400225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T19:52:01.087540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T19:52:02.920815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
경도위도
경도1.0000.973
위도0.9731.000
2023-12-10T19:52:03.044731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
경도위도
경도1.0001.000
위도1.0001.000

Missing values

2023-12-10T19:52:01.565151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T19:52:01.670234image/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

경도위도대규모강수율(%)
0121.83432.25690
1121.85132.25760
2121.86732.25830
3121.88332.2590
4121.89932.25970
5121.91532.26040
6121.93132.26110
7121.94732.26180
8121.96332.26250
9121.97932.26310
경도위도대규모강수율(%)
90123.28232.30950
91123.29932.310
92123.31532.31040
93123.33132.31090
94123.34732.31140
95123.36332.31180
96123.37932.31220
97123.39532.31270
98123.41132.31310
99123.42732.31360