Overview

Dataset statistics

Number of variables6
Number of observations44
Missing cells4
Missing cells (%)1.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.4 KiB
Average record size in memory55.0 B

Variable types

Numeric4
Categorical2

Dataset

Description경상남도 창원시의 연도별 기초소방시설보급건수 및 저소득층 화재점검기 보급건수입니다. 기초생활수급대상자 및 저소득층, 25년 이상 노후 주택을 대상으로 보급한 현황입니다.
URLhttps://www.data.go.kr/data/15037572/fileData.do

Alerts

기준일자 has constant value ""Constant
연도 is highly overall correlated with 주택용소방시설 보급 가구수(총계) and 1 other fieldsHigh correlation
주택용소방시설 보급 가구수(총계) is highly overall correlated with 연도 and 2 other fieldsHigh correlation
취약계층 주택용 소방시설 보급가구수 is highly overall correlated with 연도 and 1 other fieldsHigh correlation
기타(일반가구 또는 화재없는마을 등) 주택용 소방시설 보급가구수 is highly overall correlated with 주택용소방시설 보급 가구수(총계)High correlation
취약계층 주택용 소방시설 보급가구수 has 4 (9.1%) missing valuesMissing
주택용소방시설 보급 가구수(총계) has 3 (6.8%) zerosZeros
취약계층 주택용 소방시설 보급가구수 has 10 (22.7%) zerosZeros
기타(일반가구 또는 화재없는마을 등) 주택용 소방시설 보급가구수 has 8 (18.2%) zerosZeros

Reproduction

Analysis started2023-12-12 06:41:42.545092
Analysis finished2023-12-12 06:41:44.497119
Duration1.95 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연도
Real number (ℝ)

HIGH CORRELATION 

Distinct14
Distinct (%)31.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2016.7727
Minimum2010
Maximum2023
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size528.0 B
2023-12-12T15:41:44.574063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2010
5-th percentile2010.15
Q12013
median2017
Q32020.25
95-th percentile2023
Maximum2023
Range13
Interquartile range (IQR)7.25

Descriptive statistics

Standard deviation4.1811517
Coefficient of variation (CV)0.0020731893
Kurtosis-1.2629677
Mean2016.7727
Median Absolute Deviation (MAD)4
Skewness-0.058309808
Sum88738
Variance17.48203
MonotonicityIncreasing
2023-12-12T15:41:44.734910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
2022 4
 
9.1%
2023 4
 
9.1%
2010 3
 
6.8%
2011 3
 
6.8%
2012 3
 
6.8%
2013 3
 
6.8%
2014 3
 
6.8%
2015 3
 
6.8%
2016 3
 
6.8%
2017 3
 
6.8%
Other values (4) 12
27.3%
ValueCountFrequency (%)
2010 3
6.8%
2011 3
6.8%
2012 3
6.8%
2013 3
6.8%
2014 3
6.8%
2015 3
6.8%
2016 3
6.8%
2017 3
6.8%
2018 3
6.8%
2019 3
6.8%
ValueCountFrequency (%)
2023 4
9.1%
2022 4
9.1%
2021 3
6.8%
2020 3
6.8%
2019 3
6.8%
2018 3
6.8%
2017 3
6.8%
2016 3
6.8%
2015 3
6.8%
2014 3
6.8%

관할소방서
Categorical

Distinct5
Distinct (%)11.4%
Missing0
Missing (%)0.0%
Memory size484.0 B
창원소방본부
14 
마산소방서
14 
창원소방서
12 
성산소방서
2 
의창소방서
2 

Length

Max length6
Median length5
Mean length5.3181818
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row창원소방본부
2nd row창원소방서
3rd row마산소방서
4th row창원소방본부
5th row창원소방서

Common Values

ValueCountFrequency (%)
창원소방본부 14
31.8%
마산소방서 14
31.8%
창원소방서 12
27.3%
성산소방서 2
 
4.5%
의창소방서 2
 
4.5%

Length

2023-12-12T15:41:44.895509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:41:45.043994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
창원소방본부 14
31.8%
마산소방서 14
31.8%
창원소방서 12
27.3%
성산소방서 2
 
4.5%
의창소방서 2
 
4.5%

주택용소방시설 보급 가구수(총계)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct41
Distinct (%)93.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1347.75
Minimum0
Maximum6656
Zeros3
Zeros (%)6.8%
Negative0
Negative (%)0.0%
Memory size528.0 B
2023-12-12T15:41:45.182317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile12.45
Q1167
median617.5
Q31882
95-th percentile5215.3
Maximum6656
Range6656
Interquartile range (IQR)1715

Descriptive statistics

Standard deviation1677.025
Coefficient of variation (CV)1.2443146
Kurtosis2.4432242
Mean1347.75
Median Absolute Deviation (MAD)506
Skewness1.7526404
Sum59301
Variance2812412.8
MonotonicityNot monotonic
2023-12-12T15:41:45.343619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
0 3
 
6.8%
519 2
 
4.5%
2982 1
 
2.3%
1470 1
 
2.3%
1335 1
 
2.3%
2050 1
 
2.3%
2714 1
 
2.3%
2235 1
 
2.3%
1018 1
 
2.3%
1826 1
 
2.3%
Other values (31) 31
70.5%
ValueCountFrequency (%)
0 3
6.8%
83 1
 
2.3%
107 1
 
2.3%
108 1
 
2.3%
110 1
 
2.3%
113 1
 
2.3%
119 1
 
2.3%
120 1
 
2.3%
140 1
 
2.3%
176 1
 
2.3%
ValueCountFrequency (%)
6656 1
2.3%
5766 1
2.3%
5290 1
2.3%
4792 1
2.3%
4174 1
2.3%
2982 1
2.3%
2793 1
2.3%
2714 1
2.3%
2235 1
2.3%
2073 1
2.3%

취약계층 주택용 소방시설 보급가구수
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct30
Distinct (%)75.0%
Missing4
Missing (%)9.1%
Infinite0
Infinite (%)0.0%
Mean646.15
Minimum0
Maximum6656
Zeros10
Zeros (%)22.7%
Negative0
Negative (%)0.0%
Memory size528.0 B
2023-12-12T15:41:45.529110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q133.75
median404.5
Q3798.5
95-th percentile1569.9
Maximum6656
Range6656
Interquartile range (IQR)764.75

Descriptive statistics

Standard deviation1095.224
Coefficient of variation (CV)1.6949996
Kurtosis24.039997
Mean646.15
Median Absolute Deviation (MAD)393
Skewness4.4853565
Sum25846
Variance1199515.6
MonotonicityNot monotonic
2023-12-12T15:41:45.695415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
0 10
22.7%
519 2
 
4.5%
300 1
 
2.3%
1090 1
 
2.3%
1019 1
 
2.3%
6656 1
 
2.3%
698 1
 
2.3%
695 1
 
2.3%
1274 1
 
2.3%
151 1
 
2.3%
Other values (20) 20
45.5%
(Missing) 4
 
9.1%
ValueCountFrequency (%)
0 10
22.7%
45 1
 
2.3%
59 1
 
2.3%
151 1
 
2.3%
182 1
 
2.3%
245 1
 
2.3%
300 1
 
2.3%
338 1
 
2.3%
340 1
 
2.3%
387 1
 
2.3%
ValueCountFrequency (%)
6656 1
2.3%
2119 1
2.3%
1541 1
2.3%
1424 1
2.3%
1274 1
2.3%
1090 1
2.3%
1019 1
2.3%
965 1
2.3%
894 1
2.3%
836 1
2.3%

기타(일반가구 또는 화재없는마을 등) 주택용 소방시설 보급가구수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct36
Distinct (%)81.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean760.34091
Minimum0
Maximum5290
Zeros8
Zeros (%)18.2%
Negative0
Negative (%)0.0%
Memory size528.0 B
2023-12-12T15:41:45.873242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q172.25
median111.5
Q3684.75
95-th percentile4595.05
Maximum5290
Range5290
Interquartile range (IQR)612.5

Descriptive statistics

Standard deviation1407.067
Coefficient of variation (CV)1.8505739
Kurtosis4.372165
Mean760.34091
Median Absolute Deviation (MAD)111.5
Skewness2.2854077
Sum33455
Variance1979837.6
MonotonicityNot monotonic
2023-12-12T15:41:46.037141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
0 8
 
18.2%
107 2
 
4.5%
25 1
 
2.3%
966 1
 
2.3%
245 1
 
2.3%
626 1
 
2.3%
1820 1
 
2.3%
116 1
 
2.3%
959 1
 
2.3%
861 1
 
2.3%
Other values (26) 26
59.1%
ValueCountFrequency (%)
0 8
18.2%
25 1
 
2.3%
63 1
 
2.3%
70 1
 
2.3%
73 1
 
2.3%
74 1
 
2.3%
82 1
 
2.3%
83 1
 
2.3%
87 1
 
2.3%
88 1
 
2.3%
ValueCountFrequency (%)
5290 1
2.3%
5068 1
2.3%
4792 1
2.3%
3479 1
2.3%
2793 1
2.3%
2073 1
2.3%
1820 1
2.3%
1708 1
2.3%
966 1
2.3%
959 1
2.3%

기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size484.0 B
2023-03-30
44 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-03-30
2nd row2023-03-30
3rd row2023-03-30
4th row2023-03-30
5th row2023-03-30

Common Values

ValueCountFrequency (%)
2023-03-30 44
100.0%

Length

2023-12-12T15:41:46.187837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:41:46.293050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-03-30 44
100.0%

Interactions

2023-12-12T15:41:43.810898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:41:42.733443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:41:43.093105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:41:43.426795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:41:43.931796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:41:42.821150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:41:43.179409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:41:43.534468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:41:44.077264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:41:42.903497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:41:43.264321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:41:43.633735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:41:44.187273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:41:42.992656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:41:43.339614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:41:43.722386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T15:41:46.369128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연도관할소방서주택용소방시설 보급 가구수(총계)취약계층 주택용 소방시설 보급가구수기타(일반가구 또는 화재없는마을 등) 주택용 소방시설 보급가구수
연도1.0000.0000.3220.2410.407
관할소방서0.0001.0000.0000.0000.444
주택용소방시설 보급 가구수(총계)0.3220.0001.0000.8570.920
취약계층 주택용 소방시설 보급가구수0.2410.0000.8571.0000.401
기타(일반가구 또는 화재없는마을 등) 주택용 소방시설 보급가구수0.4070.4440.9200.4011.000
2023-12-12T15:41:46.500926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연도주택용소방시설 보급 가구수(총계)취약계층 주택용 소방시설 보급가구수기타(일반가구 또는 화재없는마을 등) 주택용 소방시설 보급가구수관할소방서
연도1.0000.8190.6960.4810.000
주택용소방시설 보급 가구수(총계)0.8191.0000.9080.6200.000
취약계층 주택용 소방시설 보급가구수0.6960.9081.0000.2410.000
기타(일반가구 또는 화재없는마을 등) 주택용 소방시설 보급가구수0.4810.6200.2411.0000.312
관할소방서0.0000.0000.0000.3121.000

Missing values

2023-12-12T15:41:44.319519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T15:41:44.444218image/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

연도관할소방서주택용소방시설 보급 가구수(총계)취약계층 주택용 소방시설 보급가구수기타(일반가구 또는 화재없는마을 등) 주택용 소방시설 보급가구수기준일자
02010창원소방본부0002023-03-30
12010창원소방서18218202023-03-30
22010마산소방서0002023-03-30
32011창원소방본부11001102023-03-30
42011창원소방서4363001362023-03-30
52011마산소방서0002023-03-30
62012창원소방본부10701072023-03-30
72012창원소방서11945742023-03-30
82012마산소방서830832023-03-30
92013창원소방본부11301132023-03-30
연도관할소방서주택용소방시설 보급 가구수(총계)취약계층 주택용 소방시설 보급가구수기타(일반가구 또는 화재없는마을 등) 주택용 소방시설 보급가구수기준일자
342021창원소방서417469534792023-03-30
352021마산소방서576669850682023-03-30
362022창원소방본부6656665602023-03-30
372022성산소방서51951902023-03-30
382022의창소방서51951902023-03-30
392022마산소방서1019101902023-03-30
402023창원소방본부4792<NA>47922023-03-30
412023성산소방서2793<NA>27932023-03-30
422023의창소방서2073<NA>20732023-03-30
432023마산소방서5290<NA>52902023-03-30