Overview

Dataset statistics

Number of variables4
Number of observations66
Missing cells1
Missing cells (%)0.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.3 KiB
Average record size in memory36.0 B

Variable types

Categorical1
Numeric2
DateTime1

Dataset

Description경남빅데이터허브플랫폼 데이터마트 DB 내 소비자물가지수에 대한 데이터로, 시도명, 소비자물가등락률, 소비자물가지수, 해당연월 정보를 제공합니다.
Author경상남도
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15123704

Alerts

시도 has constant value ""Constant
소비자물가등락률 is highly overall correlated with 소비자물가지수High correlation
소비자물가지수 is highly overall correlated with 소비자물가등락률High correlation
소비자물가등락률 has 1 (1.5%) missing valuesMissing
연월 has unique valuesUnique

Reproduction

Analysis started2023-12-10 22:58:32.823417
Analysis finished2023-12-10 22:58:33.459701
Duration0.64 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도
Categorical

CONSTANT 

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size660.0 B
경상남도
66 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경상남도 66
100.0%

Length

2023-12-11T07:58:33.528191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:58:33.619643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경상남도 66
100.0%

소비자물가등락률
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct42
Distinct (%)64.6%
Missing1
Missing (%)1.5%
Infinite0
Infinite (%)0.0%
Mean2.14
Minimum-0.9
Maximum6.8
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)7.6%
Memory size726.0 B
2023-12-11T07:58:33.719675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-0.9
5-th percentile-0.38
Q10.7
median1.4
Q33.3
95-th percentile5.88
Maximum6.8
Range7.7
Interquartile range (IQR)2.6

Descriptive statistics

Standard deviation1.9442865
Coefficient of variation (CV)0.90854509
Kurtosis-0.36840015
Mean2.14
Median Absolute Deviation (MAD)1
Skewness0.7381691
Sum139.1
Variance3.78025
MonotonicityNot monotonic
2023-12-11T07:58:33.875656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
0.5 5
 
7.6%
1.0 4
 
6.1%
0.4 3
 
4.5%
0.9 3
 
4.5%
3.8 3
 
4.5%
1.4 3
 
4.5%
3.3 2
 
3.0%
2.0 2
 
3.0%
5.0 2
 
3.0%
2.6 2
 
3.0%
Other values (32) 36
54.5%
ValueCountFrequency (%)
-0.9 1
 
1.5%
-0.6 1
 
1.5%
-0.5 1
 
1.5%
-0.4 1
 
1.5%
-0.3 1
 
1.5%
0.1 1
 
1.5%
0.2 1
 
1.5%
0.3 1
 
1.5%
0.4 3
4.5%
0.5 5
7.6%
ValueCountFrequency (%)
6.8 1
1.5%
6.5 1
1.5%
6.0 1
1.5%
5.9 1
1.5%
5.8 1
1.5%
5.6 1
1.5%
5.1 1
1.5%
5.0 2
3.0%
4.8 1
1.5%
4.5 1
1.5%

소비자물가지수
Real number (ℝ)

HIGH CORRELATION 

Distinct62
Distinct (%)93.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean102.87758
Minimum98.41
Maximum112.47
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-11T07:58:34.074590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum98.41
5-th percentile98.9775
Q199.465
median100.445
Q3106.1725
95-th percentile111.0925
Maximum112.47
Range14.06
Interquartile range (IQR)6.7075

Descriptive statistics

Standard deviation4.371311
Coefficient of variation (CV)0.042490416
Kurtosis-0.73270461
Mean102.87758
Median Absolute Deviation (MAD)1.41
Skewness0.90801575
Sum6789.92
Variance19.10836
MonotonicityNot monotonic
2023-12-11T07:58:34.214077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
99.62 2
 
3.0%
99.12 2
 
3.0%
99.1 2
 
3.0%
99.43 2
 
3.0%
98.41 1
 
1.5%
107.24 1
 
1.5%
106.4 1
 
1.5%
105.49 1
 
1.5%
104.9 1
 
1.5%
104.15 1
 
1.5%
Other values (52) 52
78.8%
ValueCountFrequency (%)
98.41 1
1.5%
98.73 1
1.5%
98.93 1
1.5%
98.96 1
1.5%
99.03 1
1.5%
99.06 1
1.5%
99.1 2
3.0%
99.12 2
3.0%
99.14 1
1.5%
99.17 1
1.5%
ValueCountFrequency (%)
112.47 1
1.5%
111.37 1
1.5%
111.27 1
1.5%
111.2 1
1.5%
110.77 1
1.5%
110.54 1
1.5%
110.52 1
1.5%
110.14 1
1.5%
109.38 1
1.5%
109.37 1
1.5%

연월
Date

UNIQUE 

Distinct66
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size660.0 B
Minimum2018-01-01 00:00:00
Maximum2023-08-01 00:00:00
2023-12-11T07:58:34.349701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:58:34.480315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Interactions

2023-12-11T07:58:33.116811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:58:32.907874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:58:33.222880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:58:33.012198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T07:58:34.573642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
소비자물가등락률소비자물가지수연월
소비자물가등락률1.0000.8861.000
소비자물가지수0.8861.0001.000
연월1.0001.0001.000
2023-12-11T07:58:34.662265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
소비자물가등락률소비자물가지수
소비자물가등락률1.0000.791
소비자물가지수0.7911.000

Missing values

2023-12-11T07:58:33.327359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T07:58:33.418865image/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

시도소비자물가등락률소비자물가지수연월
0경상남도0.598.412018-01
1경상남도1.099.122018-02
2경상남도1.098.932018-03
3경상남도1.499.032018-04
4경상남도1.499.12018-05
5경상남도1.498.962018-06
6경상남도1.198.732018-07
7경상남도1.699.692018-08
8경상남도2.2100.52018-09
9경상남도1.9100.392018-10
시도소비자물가등락률소비자물가지수연월
56경상남도5.0109.372022-10
57경상남도5.0109.382022-12
58경상남도4.8110.142023-01
59경상남도3.9110.522023-02
60경상남도3.3110.542023-03
61경상남도3.0110.772023-04
62경상남도2.4111.22023-05
63경상남도2.0111.272023-06
64경상남도3.3111.372023-07
65경상남도<NA>112.472023-08