Overview

Dataset statistics

Number of variables3
Number of observations31
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory969.0 B
Average record size in memory31.3 B

Variable types

Numeric3

Alerts

기준년월 is highly overall correlated with 전년동월대비세계산업생산증가율 and 1 other fieldsHigh correlation
전년동월대비세계산업생산증가율 is highly overall correlated with 기준년월 and 1 other fieldsHigh correlation
전년동월대비세계교육지수증가율 is highly overall correlated with 기준년월 and 1 other fieldsHigh correlation
기준년월 has unique valuesUnique
전년동월대비세계교육지수증가율 has unique valuesUnique
전년동월대비세계교육지수증가율 has 1 (3.2%) zerosZeros

Reproduction

Analysis started2023-12-10 13:09:15.087191
Analysis finished2023-12-10 13:09:19.676561
Duration4.59 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기준년월
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean201789.81
Minimum201701
Maximum201907
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-10T22:09:19.774502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum201701
5-th percentile201702.5
Q1201708.5
median201804
Q3201811.5
95-th percentile201905.5
Maximum201907
Range206
Interquartile range (IQR)103

Descriptive statistics

Standard deviation77.075469
Coefficient of variation (CV)0.00038195918
Kurtosis-1.2739417
Mean201789.81
Median Absolute Deviation (MAD)95
Skewness0.27414865
Sum6255484
Variance5940.628
MonotonicityStrictly decreasing
2023-12-10T22:09:19.978307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
201907 1
 
3.2%
201906 1
 
3.2%
201701 1
 
3.2%
201702 1
 
3.2%
201703 1
 
3.2%
201704 1
 
3.2%
201705 1
 
3.2%
201706 1
 
3.2%
201707 1
 
3.2%
201708 1
 
3.2%
Other values (21) 21
67.7%
ValueCountFrequency (%)
201701 1
3.2%
201702 1
3.2%
201703 1
3.2%
201704 1
3.2%
201705 1
3.2%
201706 1
3.2%
201707 1
3.2%
201708 1
3.2%
201709 1
3.2%
201710 1
3.2%
ValueCountFrequency (%)
201907 1
3.2%
201906 1
3.2%
201905 1
3.2%
201904 1
3.2%
201903 1
3.2%
201902 1
3.2%
201901 1
3.2%
201812 1
3.2%
201811 1
3.2%
201810 1
3.2%

전년동월대비세계산업생산증가율
Real number (ℝ)

HIGH CORRELATION 

Distinct29
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.8458065
Minimum0.72
Maximum4.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-10T22:09:20.195189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.72
5-th percentile0.88
Q11.85
median3.19
Q33.79
95-th percentile4.07
Maximum4.1
Range3.38
Interquartile range (IQR)1.94

Descriptive statistics

Standard deviation1.1126538
Coefficient of variation (CV)0.39098014
Kurtosis-0.97262778
Mean2.8458065
Median Absolute Deviation (MAD)0.72
Skewness-0.65659813
Sum88.22
Variance1.2379985
MonotonicityNot monotonic
2023-12-10T22:09:20.343417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
0.72 2
 
6.5%
3.76 2
 
6.5%
1.36 1
 
3.2%
2.41 1
 
3.2%
2.67 1
 
3.2%
3.45 1
 
3.2%
3.26 1
 
3.2%
4.05 1
 
3.2%
3.91 1
 
3.2%
4.09 1
 
3.2%
Other values (19) 19
61.3%
ValueCountFrequency (%)
0.72 2
6.5%
1.04 1
3.2%
1.21 1
3.2%
1.36 1
3.2%
1.37 1
3.2%
1.61 1
3.2%
1.76 1
3.2%
1.94 1
3.2%
2.41 1
3.2%
2.67 1
3.2%
ValueCountFrequency (%)
4.1 1
3.2%
4.09 1
3.2%
4.05 1
3.2%
4.03 1
3.2%
3.94 1
3.2%
3.91 1
3.2%
3.83 1
3.2%
3.82 1
3.2%
3.76 2
6.5%
3.69 1
3.2%

전년동월대비세계교육지수증가율
Real number (ℝ)

HIGH CORRELATION  UNIQUE  ZEROS 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.18
Minimum-1.76
Maximum6.71
Zeros1
Zeros (%)3.2%
Negative4
Negative (%)12.9%
Memory size411.0 B
2023-12-10T22:09:20.544612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.76
5-th percentile-1.115
Q11.05
median4.03
Q35.18
95-th percentile5.81
Maximum6.71
Range8.47
Interquartile range (IQR)4.13

Descriptive statistics

Standard deviation2.4637559
Coefficient of variation (CV)0.77476602
Kurtosis-0.93320216
Mean3.18
Median Absolute Deviation (MAD)1.49
Skewness-0.62747197
Sum98.58
Variance6.0700933
MonotonicityNot monotonic
2023-12-10T22:09:20.969891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
-0.87 1
 
3.2%
-1.76 1
 
3.2%
4.49 1
 
3.2%
2.52 1
 
3.2%
6.71 1
 
3.2%
3.58 1
 
3.2%
5.89 1
 
3.2%
4.51 1
 
3.2%
5.61 1
 
3.2%
4.74 1
 
3.2%
Other values (21) 21
67.7%
ValueCountFrequency (%)
-1.76 1
3.2%
-1.36 1
3.2%
-0.87 1
3.2%
-0.16 1
3.2%
0.0 1
3.2%
0.08 1
3.2%
0.24 1
3.2%
0.64 1
3.2%
1.46 1
3.2%
1.99 1
3.2%
ValueCountFrequency (%)
6.71 1
3.2%
5.89 1
3.2%
5.73 1
3.2%
5.61 1
3.2%
5.52 1
3.2%
5.47 1
3.2%
5.44 1
3.2%
5.33 1
3.2%
5.03 1
3.2%
4.74 1
3.2%

Interactions

2023-12-10T22:09:18.947312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:09:17.915687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:09:18.551534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:09:19.067782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:09:18.084040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:09:18.671092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:09:19.218479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:09:18.432238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:09:18.796685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T22:09:21.227274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기준년월전년동월대비세계산업생산증가율전년동월대비세계교육지수증가율
기준년월1.0000.7940.670
전년동월대비세계산업생산증가율0.7941.0000.671
전년동월대비세계교육지수증가율0.6700.6711.000
2023-12-10T22:09:21.587237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기준년월전년동월대비세계산업생산증가율전년동월대비세계교육지수증가율
기준년월1.000-0.682-0.702
전년동월대비세계산업생산증가율-0.6821.0000.823
전년동월대비세계교육지수증가율-0.7020.8231.000

Missing values

2023-12-10T22:09:19.445014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T22:09:19.570769image/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

기준년월전년동월대비세계산업생산증가율전년동월대비세계교육지수증가율
02019070.72-0.87
12019060.72-1.76
22019051.360.0
32019041.040.08
42019031.761.46
52019021.21-0.16
62019011.610.24
72018121.37-1.36
82018111.940.64
92018103.195.47
기준년월전년동월대비세계산업생산증가율전년동월대비세계교육지수증가율
212017103.554.6
222017094.095.44
232017083.914.74
242017073.765.61
252017063.764.51
262017054.055.89
272017043.263.58
282017033.456.71
292017022.672.52
302017012.414.49