Overview

Dataset statistics

Number of variables3
Number of observations24
Missing cells4
Missing cells (%)5.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory756.0 B
Average record size in memory31.5 B

Variable types

DateTime1
Numeric2

Dataset

Description통영기지 월별 역률 현황분석 데이터로, 년도, 월, 당월역률(%), 전년동월 역률(%)에 대한 정보를 포함하고 있습니다.
Author한국가스공사
URLhttps://www.data.go.kr/data/15066533/fileData.do

Alerts

당월 역률(퍼센트) has 4 (16.7%) missing valuesMissing
날짜(월) has unique valuesUnique

Reproduction

Analysis started2023-12-12 22:46:12.338461
Analysis finished2023-12-12 22:46:13.036265
Duration0.7 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

날짜(월)
Date

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
Minimum2020-01-01 00:00:00
Maximum2021-12-01 00:00:00
2023-12-13T07:46:13.129678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:46:13.266859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)

당월 역률(퍼센트)
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)95.0%
Missing4
Missing (%)16.7%
Infinite0
Infinite (%)0.0%
Mean96.0815
Minimum95.26
Maximum96.88
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-13T07:46:13.407770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum95.26
5-th percentile95.3455
Q195.7025
median96.05
Q396.53
95-th percentile96.8135
Maximum96.88
Range1.62
Interquartile range (IQR)0.8275

Descriptive statistics

Standard deviation0.5137609
Coefficient of variation (CV)0.0053471366
Kurtosis-1.3115115
Mean96.0815
Median Absolute Deviation (MAD)0.48
Skewness-0.050325394
Sum1921.63
Variance0.26395026
MonotonicityNot monotonic
2023-12-13T07:46:13.553979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
96.39 2
 
8.3%
95.4 1
 
4.2%
96.56 1
 
4.2%
96.29 1
 
4.2%
96.59 1
 
4.2%
96.7 1
 
4.2%
95.56 1
 
4.2%
95.35 1
 
4.2%
95.26 1
 
4.2%
95.75 1
 
4.2%
Other values (9) 9
37.5%
(Missing) 4
16.7%
ValueCountFrequency (%)
95.26 1
4.2%
95.35 1
4.2%
95.4 1
4.2%
95.55 1
4.2%
95.56 1
4.2%
95.75 1
4.2%
95.76 1
4.2%
95.87 1
4.2%
95.9 1
4.2%
95.93 1
4.2%
ValueCountFrequency (%)
96.88 1
4.2%
96.81 1
4.2%
96.7 1
4.2%
96.59 1
4.2%
96.56 1
4.2%
96.52 1
4.2%
96.39 2
8.3%
96.29 1
4.2%
96.17 1
4.2%
95.93 1
4.2%

전년동월 역률(퍼센트)
Real number (ℝ)

Distinct23
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean96.095
Minimum95
Maximum96.88
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-13T07:46:13.716232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum95
5-th percentile95.2045
Q195.8425
median96.145
Q396.39
95-th percentile96.8055
Maximum96.88
Range1.88
Interquartile range (IQR)0.5475

Descriptive statistics

Standard deviation0.49445622
Coefficient of variation (CV)0.0051454938
Kurtosis-0.052302664
Mean96.095
Median Absolute Deviation (MAD)0.26
Skewness-0.4505066
Sum2306.28
Variance0.24448696
MonotonicityNot monotonic
2023-12-13T07:46:13.837070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
96.39 2
 
8.3%
95.17 1
 
4.2%
95.4 1
 
4.2%
95.76 1
 
4.2%
95.9 1
 
4.2%
95.55 1
 
4.2%
96.52 1
 
4.2%
95.87 1
 
4.2%
95.93 1
 
4.2%
96.81 1
 
4.2%
Other values (13) 13
54.2%
ValueCountFrequency (%)
95.0 1
4.2%
95.17 1
4.2%
95.4 1
4.2%
95.55 1
4.2%
95.75 1
4.2%
95.76 1
4.2%
95.87 1
4.2%
95.9 1
4.2%
95.93 1
4.2%
96.11 1
4.2%
ValueCountFrequency (%)
96.88 1
4.2%
96.81 1
4.2%
96.78 1
4.2%
96.71 1
4.2%
96.52 1
4.2%
96.39 2
8.3%
96.37 1
4.2%
96.22 1
4.2%
96.19 1
4.2%
96.17 1
4.2%

Interactions

2023-12-13T07:46:12.663060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:46:12.417374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:46:12.772842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:46:12.532325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T07:46:13.946735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
날짜(월)당월 역률(퍼센트)전년동월 역률(퍼센트)
날짜(월)1.0001.0001.000
당월 역률(퍼센트)1.0001.0000.673
전년동월 역률(퍼센트)1.0000.6731.000
2023-12-13T07:46:14.058043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
당월 역률(퍼센트)전년동월 역률(퍼센트)
당월 역률(퍼센트)1.0000.050
전년동월 역률(퍼센트)0.0501.000

Missing values

2023-12-13T07:46:12.912673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T07:46:12.993119image/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

날짜(월)당월 역률(퍼센트)전년동월 역률(퍼센트)
02020-0195.7595.17
12020-0296.1796.39
22020-0396.8896.14
32020-0496.8196.15
42020-0595.9396.78
52020-0695.8796.37
62020-0796.5296.19
72020-0895.5596.22
82020-0996.3996.71
92020-1095.996.11
날짜(월)당월 역률(퍼센트)전년동월 역률(퍼센트)
142021-0395.5696.88
152021-0496.3996.81
162021-0596.795.93
172021-0696.5995.87
182021-0796.2996.52
192021-0896.5695.55
202021-09<NA>96.39
212021-10<NA>95.9
222021-11<NA>95.76
232021-12<NA>95.4