Overview

Dataset statistics

Number of variables4
Number of observations96
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.4 KiB
Average record size in memory36.4 B

Variable types

Numeric3
Categorical1

Dataset

Description연도별(2015년 ~ 2022년) 화재건수 중 전기적 요인에 따른 화재건수를 월별(1월 ~ 12월)로 제공하는 데이터입니다.
Author한국전기안전공사
URLhttps://www.data.go.kr/data/15069504/fileData.do

Reproduction

Analysis started2023-12-12 11:10:43.206162
Analysis finished2023-12-12 11:10:44.943409
Duration1.74 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연도
Real number (ℝ)

Distinct8
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2018.5
Minimum2015
Maximum2022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size996.0 B
2023-12-12T20:10:45.013749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2015
5-th percentile2015
Q12016.75
median2018.5
Q32020.25
95-th percentile2022
Maximum2022
Range7
Interquartile range (IQR)3.5

Descriptive statistics

Standard deviation2.3033157
Coefficient of variation (CV)0.0011411026
Kurtosis-1.2398819
Mean2018.5
Median Absolute Deviation (MAD)2
Skewness0
Sum193776
Variance5.3052632
MonotonicityIncreasing
2023-12-12T20:10:45.175027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
2015 12
12.5%
2016 12
12.5%
2017 12
12.5%
2018 12
12.5%
2019 12
12.5%
2020 12
12.5%
2021 12
12.5%
2022 12
12.5%
ValueCountFrequency (%)
2015 12
12.5%
2016 12
12.5%
2017 12
12.5%
2018 12
12.5%
2019 12
12.5%
2020 12
12.5%
2021 12
12.5%
2022 12
12.5%
ValueCountFrequency (%)
2022 12
12.5%
2021 12
12.5%
2020 12
12.5%
2019 12
12.5%
2018 12
12.5%
2017 12
12.5%
2016 12
12.5%
2015 12
12.5%

매월
Categorical

Distinct12
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size900.0 B
01월
8 
02월
8 
03월
8 
04월
8 
05월
8 
Other values (7)
56 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row01월
2nd row02월
3rd row03월
4th row04월
5th row05월

Common Values

ValueCountFrequency (%)
01월 8
8.3%
02월 8
8.3%
03월 8
8.3%
04월 8
8.3%
05월 8
8.3%
06월 8
8.3%
07월 8
8.3%
08월 8
8.3%
09월 8
8.3%
10월 8
8.3%
Other values (2) 16
16.7%

Length

2023-12-12T20:10:45.395711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
01월 8
8.3%
02월 8
8.3%
03월 8
8.3%
04월 8
8.3%
05월 8
8.3%
06월 8
8.3%
07월 8
8.3%
08월 8
8.3%
09월 8
8.3%
10월 8
8.3%
Other values (2) 16
16.7%

총화재건수
Real number (ℝ)

Distinct95
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3432.3646
Minimum2252
Maximum6549
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size996.0 B
2023-12-12T20:10:45.595894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2252
5-th percentile2584.5
Q12901.5
median3376
Q33823.75
95-th percentile4623.75
Maximum6549
Range4297
Interquartile range (IQR)922.25

Descriptive statistics

Standard deviation697.10409
Coefficient of variation (CV)0.20309733
Kurtosis3.2849274
Mean3432.3646
Median Absolute Deviation (MAD)469
Skewness1.2761319
Sum329507
Variance485954.11
MonotonicityNot monotonic
2023-12-12T20:10:45.825709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2696 2
 
2.1%
3678 1
 
1.0%
3100 1
 
1.0%
3287 1
 
1.0%
2513 1
 
1.0%
3017 1
 
1.0%
2423 1
 
1.0%
2968 1
 
1.0%
2906 1
 
1.0%
4381 1
 
1.0%
Other values (85) 85
88.5%
ValueCountFrequency (%)
2252 1
1.0%
2423 1
1.0%
2456 1
1.0%
2513 1
1.0%
2517 1
1.0%
2607 1
1.0%
2696 2
2.1%
2703 1
1.0%
2706 1
1.0%
2710 1
1.0%
ValueCountFrequency (%)
6549 1
1.0%
5385 1
1.0%
4883 1
1.0%
4689 1
1.0%
4632 1
1.0%
4621 1
1.0%
4430 1
1.0%
4381 1
1.0%
4267 1
1.0%
4229 1
1.0%

전기적요인
Real number (ℝ)

Distinct85
Distinct (%)88.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean753.63542
Minimum525
Maximum1192
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size996.0 B
2023-12-12T20:10:46.061779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum525
5-th percentile577.5
Q1630.25
median718
Q3852.25
95-th percentile1013.25
Maximum1192
Range667
Interquartile range (IQR)222

Descriptive statistics

Standard deviation147.31993
Coefficient of variation (CV)0.19547904
Kurtosis0.27176572
Mean753.63542
Median Absolute Deviation (MAD)98.5
Skewness0.87166896
Sum72349
Variance21703.16
MonotonicityNot monotonic
2023-12-12T20:10:46.295779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
625 4
 
4.2%
595 3
 
3.1%
688 2
 
2.1%
703 2
 
2.1%
892 2
 
2.1%
587 2
 
2.1%
632 2
 
2.1%
718 2
 
2.1%
705 1
 
1.0%
1192 1
 
1.0%
Other values (75) 75
78.1%
ValueCountFrequency (%)
525 1
 
1.0%
558 1
 
1.0%
565 1
 
1.0%
571 1
 
1.0%
573 1
 
1.0%
579 1
 
1.0%
587 2
2.1%
592 1
 
1.0%
594 1
 
1.0%
595 3
3.1%
ValueCountFrequency (%)
1192 1
1.0%
1160 1
1.0%
1104 1
1.0%
1086 1
1.0%
1065 1
1.0%
996 1
1.0%
991 1
1.0%
989 1
1.0%
987 1
1.0%
963 1
1.0%

Interactions

2023-12-12T20:10:44.257100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:10:43.422451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:10:43.852803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:10:44.408457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:10:43.572705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:10:43.989024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:10:44.543444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:10:43.690160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:10:44.107576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T20:10:46.463851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연도매월총화재건수전기적요인
연도1.0000.0000.0330.376
매월0.0001.0000.5620.434
총화재건수0.0330.5621.0000.000
전기적요인0.3760.4340.0001.000
2023-12-12T20:10:46.603347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연도총화재건수전기적요인매월
연도1.000-0.238-0.1870.000
총화재건수-0.2381.0000.2250.286
전기적요인-0.1870.2251.0000.199
매월0.0000.2860.1991.000

Missing values

2023-12-12T20:10:44.749681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T20:10:44.889392image/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

연도매월총화재건수전기적요인
0201501월3678874
1201502월3792801
2201503월6549879
3201504월3544729
4201505월4206722
5201506월3677702
6201507월2876840
7201508월3104824
8201509월3352594
9201510월3484625
연도매월총화재건수전기적요인
86202203월3318705
87202204월3729610
88202205월4105595
89202206월2883758
90202207월2706895
91202208월2696953
92202209월2696666
93202210월3058625
94202211월3010595
95202212월3694870