Overview

Dataset statistics

Number of variables20
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.8 MiB
Average record size in memory188.0 B

Variable types

Numeric5
Categorical15

Dataset

Description울산광역시 행정동을 기준으로 100m 격자별 재난 연도, 월, 재난 종별, 계절별, 요일별 현황 통계 정보를 데이터로 제공
Author울산광역시
URLhttps://www.data.go.kr/data/15109135/fileData.do

Alerts

재난기타 수 has constant value ""Constant
격자아이디 is highly overall correlated with 격자좌표(X)High correlation
격자좌표(X) is highly overall correlated with 격자아이디High correlation
재난월 is highly overall correlated with 봄 재난 수 and 3 other fieldsHigh correlation
봄 재난 수 is highly overall correlated with 재난월High correlation
여름 재난 수 is highly overall correlated with 재난월High correlation
가을 재난 수 is highly overall correlated with 재난월High correlation
겨울 재난 수 is highly overall correlated with 재난월High correlation
재난화재 수 is highly imbalanced (84.3%)Imbalance
재난구급 수 is highly imbalanced (61.9%)Imbalance
격자아이디 has unique valuesUnique
재난구조 수 has 6281 (62.8%) zerosZeros

Reproduction

Analysis started2024-03-14 11:27:32.984664
Analysis finished2024-03-14 11:27:43.864501
Duration10.88 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

격자아이디
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean49874.908
Minimum13
Maximum100000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-14T20:27:44.067685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum13
5-th percentile5087.55
Q125245.5
median49776
Q374668.75
95-th percentile94862.3
Maximum100000
Range99987
Interquartile range (IQR)49423.25

Descriptive statistics

Standard deviation28751.58
Coefficient of variation (CV)0.57647384
Kurtosis-1.1903893
Mean49874.908
Median Absolute Deviation (MAD)24723
Skewness0.0053078034
Sum4.9874908 × 108
Variance8.2665335 × 108
MonotonicityNot monotonic
2024-03-14T20:27:44.505468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
71316 1
 
< 0.1%
34118 1
 
< 0.1%
28441 1
 
< 0.1%
92380 1
 
< 0.1%
65072 1
 
< 0.1%
31820 1
 
< 0.1%
30188 1
 
< 0.1%
6752 1
 
< 0.1%
59851 1
 
< 0.1%
56711 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
13 1
< 0.1%
17 1
< 0.1%
21 1
< 0.1%
25 1
< 0.1%
63 1
< 0.1%
74 1
< 0.1%
77 1
< 0.1%
82 1
< 0.1%
85 1
< 0.1%
97 1
< 0.1%
ValueCountFrequency (%)
100000 1
< 0.1%
99994 1
< 0.1%
99990 1
< 0.1%
99957 1
< 0.1%
99935 1
< 0.1%
99926 1
< 0.1%
99914 1
< 0.1%
99909 1
< 0.1%
99898 1
< 0.1%
99891 1
< 0.1%

격자좌표(X)
Real number (ℝ)

HIGH CORRELATION 

Distinct372
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean408572.7
Minimum381223
Maximum419923
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-14T20:27:44.924320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum381223
5-th percentile391923
Q1406723
median410323
Q3412548
95-th percentile418923
Maximum419923
Range38700
Interquartile range (IQR)5825

Descriptive statistics

Standard deviation7107.6049
Coefficient of variation (CV)0.017396182
Kurtosis1.6107324
Mean408572.7
Median Absolute Deviation (MAD)2600
Skewness-1.2971594
Sum4.085727 × 109
Variance50518048
MonotonicityNot monotonic
2024-03-14T20:27:45.580173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
412223 139
 
1.4%
409323 138
 
1.4%
411923 138
 
1.4%
409823 137
 
1.4%
412323 133
 
1.3%
412623 130
 
1.3%
412723 130
 
1.3%
409923 130
 
1.3%
409423 129
 
1.3%
409523 129
 
1.3%
Other values (362) 8667
86.7%
ValueCountFrequency (%)
381223 1
 
< 0.1%
381423 1
 
< 0.1%
381523 1
 
< 0.1%
381823 1
 
< 0.1%
382223 4
< 0.1%
382323 4
< 0.1%
382423 1
 
< 0.1%
382523 3
< 0.1%
382623 1
 
< 0.1%
382723 2
< 0.1%
ValueCountFrequency (%)
419923 67
0.7%
419823 83
0.8%
419723 68
0.7%
419623 57
0.6%
419523 45
0.4%
419423 56
0.6%
419323 37
0.4%
419223 21
 
0.2%
419123 27
 
0.3%
419023 27
 
0.3%

격자좌표(Y)
Real number (ℝ)

Distinct394
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean329573.72
Minimum306347
Maximum348947
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-14T20:27:46.020326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum306347
5-th percentile316447
Q1327447
median330247
Q3332447
95-th percentile340347
Maximum348947
Range42600
Interquartile range (IQR)5000

Descriptive statistics

Standard deviation6539.2506
Coefficient of variation (CV)0.019841541
Kurtosis1.1980801
Mean329573.72
Median Absolute Deviation (MAD)2400
Skewness-0.58582047
Sum3.2957372 × 109
Variance42761798
MonotonicityNot monotonic
2024-03-14T20:27:46.441525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
331047 148
 
1.5%
331247 146
 
1.5%
331147 144
 
1.4%
330147 142
 
1.4%
329447 139
 
1.4%
329147 139
 
1.4%
331447 138
 
1.4%
331547 136
 
1.4%
330247 136
 
1.4%
331647 135
 
1.4%
Other values (384) 8597
86.0%
ValueCountFrequency (%)
306347 2
 
< 0.1%
306447 1
 
< 0.1%
307247 1
 
< 0.1%
307547 3
 
< 0.1%
307647 3
 
< 0.1%
307747 8
0.1%
307847 2
 
< 0.1%
307947 7
0.1%
308047 4
< 0.1%
308147 4
< 0.1%
ValueCountFrequency (%)
348947 2
< 0.1%
348847 1
 
< 0.1%
348747 2
< 0.1%
348447 4
< 0.1%
348347 3
< 0.1%
348247 2
< 0.1%
348147 1
 
< 0.1%
347847 1
 
< 0.1%
347747 2
< 0.1%
347647 3
< 0.1%

재난연도
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2021
3476 
2019
3360 
2020
3164 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021
2nd row2019
3rd row2020
4th row2019
5th row2019

Common Values

ValueCountFrequency (%)
2021 3476
34.8%
2019 3360
33.6%
2020 3164
31.6%

Length

2024-03-14T20:27:46.844216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T20:27:47.152264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021 3476
34.8%
2019 3360
33.6%
2020 3164
31.6%

재난월
Real number (ℝ)

HIGH CORRELATION 

Distinct12
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.7713
Minimum1
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-14T20:27:47.466441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median7
Q39
95-th percentile12
Maximum12
Range11
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.2580758
Coefficient of variation (CV)0.48115957
Kurtosis-1.0335803
Mean6.7713
Median Absolute Deviation (MAD)3
Skewness-0.1528383
Sum67713
Variance10.615058
MonotonicityNot monotonic
2024-03-14T20:27:47.841586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
8 1161
11.6%
7 1011
10.1%
9 1011
10.1%
6 904
9.0%
10 863
8.6%
5 778
7.8%
3 767
7.7%
12 760
7.6%
11 744
7.4%
4 692
6.9%
Other values (2) 1309
13.1%
ValueCountFrequency (%)
1 686
6.9%
2 623
6.2%
3 767
7.7%
4 692
6.9%
5 778
7.8%
6 904
9.0%
7 1011
10.1%
8 1161
11.6%
9 1011
10.1%
10 863
8.6%
ValueCountFrequency (%)
12 760
7.6%
11 744
7.4%
10 863
8.6%
9 1011
10.1%
8 1161
11.6%
7 1011
10.1%
6 904
9.0%
5 778
7.8%
4 692
6.9%
3 767
7.7%

재난화재 수
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9771 
1
 
229

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 9771
97.7%
1 229
 
2.3%

Length

2024-03-14T20:27:48.228987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T20:27:48.526297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9771
97.7%
1 229
 
2.3%

재난구조 수
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3871
Minimum0
Maximum5
Zeros6281
Zeros (%)62.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-14T20:27:48.802257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.52142188
Coefficient of variation (CV)1.3469953
Kurtosis0.95984068
Mean0.3871
Median Absolute Deviation (MAD)0
Skewness0.95814921
Sum3871
Variance0.27188078
MonotonicityNot monotonic
2024-03-14T20:27:49.155872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 6281
62.8%
1 3580
35.8%
2 132
 
1.3%
3 3
 
< 0.1%
4 2
 
< 0.1%
5 2
 
< 0.1%
ValueCountFrequency (%)
0 6281
62.8%
1 3580
35.8%
2 132
 
1.3%
3 3
 
< 0.1%
4 2
 
< 0.1%
5 2
 
< 0.1%
ValueCountFrequency (%)
5 2
 
< 0.1%
4 2
 
< 0.1%
3 3
 
< 0.1%
2 132
 
1.3%
1 3580
35.8%
0 6281
62.8%

재난구급 수
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1
7924 
0
1704 
2
 
362
3
 
9
6
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row1
2nd row1
3rd row1
4th row0
5th row0

Common Values

ValueCountFrequency (%)
1 7924
79.2%
0 1704
 
17.0%
2 362
 
3.6%
3 9
 
0.1%
6 1
 
< 0.1%

Length

2024-03-14T20:27:49.536736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T20:27:49.849963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 7924
79.2%
0 1704
 
17.0%
2 362
 
3.6%
3 9
 
0.1%
6 1
 
< 0.1%

재난기타 수
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
10000 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 10000
100.0%

Length

2024-03-14T20:27:50.198358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T20:27:50.489697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 10000
100.0%

봄 재난 수
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
7763 
1
2237 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row1
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7763
77.6%
1 2237
 
22.4%

Length

2024-03-14T20:27:50.791852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T20:27:51.089622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 7763
77.6%
1 2237
 
22.4%

여름 재난 수
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
6924 
1
3076 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row1
5th row0

Common Values

ValueCountFrequency (%)
0 6924
69.2%
1 3076
30.8%

Length

2024-03-14T20:27:51.407953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T20:27:51.705853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 6924
69.2%
1 3076
30.8%

가을 재난 수
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
7382 
1
2618 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row1
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7382
73.8%
1 2618
 
26.2%

Length

2024-03-14T20:27:52.028475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T20:27:52.325359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 7382
73.8%
1 2618
 
26.2%

겨울 재난 수
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
7931 
1
2069 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row0
3rd row0
4th row0
5th row1

Common Values

ValueCountFrequency (%)
0 7931
79.3%
1 2069
 
20.7%

Length

2024-03-14T20:27:52.645317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T20:27:52.927176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 7931
79.3%
1 2069
 
20.7%

월요일 재난 수
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
8105 
1
1895 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 8105
81.0%
1 1895
 
18.9%

Length

2024-03-14T20:27:53.112243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T20:27:53.273959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 8105
81.0%
1 1895
 
18.9%

화요일 재난 수
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
8165 
1
1835 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row1
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 8165
81.7%
1 1835
 
18.4%

Length

2024-03-14T20:27:53.442466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T20:27:53.604855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 8165
81.7%
1 1835
 
18.4%

수요일 재난 수
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
8135 
1
1865 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 8135
81.3%
1 1865
 
18.6%

Length

2024-03-14T20:27:53.774184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T20:27:53.935517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 8135
81.3%
1 1865
 
18.6%

목요일 재난 수
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
8155 
1
1845 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 8155
81.5%
1 1845
 
18.4%

Length

2024-03-14T20:27:54.254140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T20:27:54.551504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 8155
81.5%
1 1845
 
18.4%

금요일 재난 수
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
8088 
1
1912 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 8088
80.9%
1 1912
 
19.1%

Length

2024-03-14T20:27:54.864393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T20:27:55.028914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 8088
80.9%
1 1912
 
19.1%

토요일 재난 수
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
8082 
1
1918 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 8082
80.8%
1 1918
 
19.2%

Length

2024-03-14T20:27:55.298372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T20:27:55.540032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 8082
80.8%
1 1918
 
19.2%

일요일 재난 수
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
8183 
1
1817 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
0 8183
81.8%
1 1817
 
18.2%

Length

2024-03-14T20:27:55.709798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T20:27:55.873760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 8183
81.8%
1 1817
 
18.2%

Interactions

2024-03-14T20:27:41.357268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:27:36.037376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:27:37.354596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:27:38.747189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:27:40.050660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:27:41.615557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:27:36.297411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:27:37.632132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:27:39.004252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:27:40.308829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:27:41.897158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:27:36.581548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:27:37.924403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:27:39.285616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:27:40.587899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:27:42.154562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:27:36.834952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:27:38.192787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:27:39.534547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:27:40.843433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:27:42.412641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:27:37.094957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:27:38.466790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:27:39.794327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:27:41.100183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T20:27:56.016549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
격자아이디격자좌표(X)격자좌표(Y)재난연도재난월재난화재 수재난구조 수재난구급 수봄 재난 수여름 재난 수가을 재난 수겨울 재난 수월요일 재난 수화요일 재난 수수요일 재난 수목요일 재난 수금요일 재난 수토요일 재난 수일요일 재난 수
격자아이디1.0000.9690.6270.0000.0430.0450.0750.1380.0350.0420.0380.0320.0320.0430.0430.0630.0310.0200.019
격자좌표(X)0.9691.0000.6500.0000.0410.0210.0890.1380.0470.0430.0510.0330.0330.0310.0490.0600.0480.0280.047
격자좌표(Y)0.6270.6501.0000.0000.0430.0390.0620.1380.0260.0360.0120.0390.0520.0410.0060.0370.0240.0250.052
재난연도0.0000.0000.0001.0000.0000.0060.0750.0400.0070.0000.0090.0000.0000.0000.0070.0060.0000.0030.007
재난월0.0430.0410.0430.0001.0000.0600.1660.2671.0001.0000.9860.9800.0400.0000.0000.0550.0000.0250.026
재난화재 수0.0450.0210.0390.0060.0601.0000.2520.0310.0140.0570.0000.0600.0000.0420.0000.0000.0000.0000.003
재난구조 수0.0750.0890.0620.0750.1660.2521.0000.4030.1140.1920.0300.1370.0870.0970.0960.1020.0700.0730.093
재난구급 수0.1380.1380.1380.0400.2670.0310.4031.0000.0790.1300.0290.0960.0560.0670.0730.0670.0630.0740.083
봄 재난 수0.0350.0470.0260.0071.0000.0140.1140.0791.0000.5320.4810.4170.0220.0190.0000.0060.0000.0000.000
여름 재난 수0.0420.0430.0360.0001.0000.0570.1920.1300.5321.0000.5830.5090.0040.0020.0000.0140.0000.0000.000
가을 재난 수0.0380.0510.0120.0090.9860.0000.0300.0290.4810.5831.0000.4590.0000.0000.0000.0000.0000.0000.000
겨울 재난 수0.0320.0330.0390.0000.9800.0600.1370.0960.4170.5090.4591.0000.0000.0000.0000.0000.0000.0000.000
월요일 재난 수0.0320.0330.0520.0000.0400.0000.0870.0560.0220.0040.0000.0001.0000.1570.1690.1470.1830.1640.149
화요일 재난 수0.0430.0310.0410.0000.0000.0420.0970.0670.0190.0020.0000.0000.1571.0000.1270.1510.1640.1710.156
수요일 재난 수0.0430.0490.0060.0070.0000.0000.0960.0730.0000.0000.0000.0000.1690.1271.0000.1690.1650.1760.138
목요일 재난 수0.0630.0600.0370.0060.0550.0000.1020.0670.0060.0140.0000.0000.1470.1510.1691.0000.1690.1550.139
금요일 재난 수0.0310.0480.0240.0000.0000.0000.0700.0630.0000.0000.0000.0000.1830.1640.1650.1691.0000.1750.154
토요일 재난 수0.0200.0280.0250.0030.0250.0000.0730.0740.0000.0000.0000.0000.1640.1710.1760.1550.1751.0000.138
일요일 재난 수0.0190.0470.0520.0070.0260.0030.0930.0830.0000.0000.0000.0000.1490.1560.1380.1390.1540.1381.000
2024-03-14T20:27:56.358139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
수요일 재난 수봄 재난 수금요일 재난 수재난화재 수재난연도토요일 재난 수월요일 재난 수화요일 재난 수목요일 재난 수여름 재난 수재난구급 수가을 재난 수일요일 재난 수겨울 재난 수
수요일 재난 수1.0000.0000.1050.0000.0120.1130.1080.0810.1080.0000.0900.0000.0880.000
봄 재난 수0.0001.0000.0000.0090.0120.0000.0140.0120.0040.3570.0960.3190.0000.274
금요일 재난 수0.1050.0001.0000.0000.0000.1120.1170.1050.1080.0000.0770.0000.0980.000
재난화재 수0.0000.0090.0001.0000.0090.0000.0000.0270.0000.0360.0370.0000.0020.039
재난연도0.0120.0120.0000.0091.0000.0050.0000.0000.0110.0000.0300.0160.0110.000
토요일 재난 수0.1130.0000.1120.0000.0051.0000.1050.1090.0990.0000.0910.0000.0880.000
월요일 재난 수0.1080.0140.1170.0000.0000.1051.0000.1010.0940.0020.0690.0000.0950.000
화요일 재난 수0.0810.0120.1050.0270.0000.1090.1011.0000.0970.0010.0830.0000.1000.000
목요일 재난 수0.1080.0040.1080.0000.0110.0990.0940.0971.0000.0090.0810.0000.0890.000
여름 재난 수0.0000.3570.0000.0360.0000.0000.0020.0010.0091.0000.1590.3970.0000.340
재난구급 수0.0900.0960.0770.0370.0300.0910.0690.0830.0810.1591.0000.0360.1010.118
가을 재난 수0.0000.3190.0000.0000.0160.0000.0000.0000.0000.3970.0361.0000.0000.304
일요일 재난 수0.0880.0000.0980.0020.0110.0880.0950.1000.0890.0000.1010.0001.0000.000
겨울 재난 수0.0000.2740.0000.0390.0000.0000.0000.0000.0000.3400.1180.3040.0001.000
2024-03-14T20:27:56.744502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
격자아이디격자좌표(X)격자좌표(Y)재난월재난구조 수재난연도재난화재 수재난구급 수봄 재난 수여름 재난 수가을 재난 수겨울 재난 수월요일 재난 수화요일 재난 수수요일 재난 수목요일 재난 수금요일 재난 수토요일 재난 수일요일 재난 수
격자아이디1.0001.0000.029-0.023-0.0450.0000.0340.0580.0270.0320.0290.0250.0250.0330.0330.0480.0240.0150.014
격자좌표(X)1.0001.0000.023-0.023-0.0450.0000.0160.0580.0360.0330.0410.0250.0260.0240.0370.0460.0360.0220.035
격자좌표(Y)0.0290.0231.000-0.003-0.0180.0000.0320.0580.0210.0290.0100.0300.0390.0320.0030.0280.0190.0200.040
재난월-0.023-0.023-0.0031.0000.0620.0000.0460.1141.0001.0000.8970.8780.0300.0000.0000.0420.0000.0190.020
재난구조 수-0.045-0.045-0.0180.0621.0000.0310.1810.2870.0820.1380.0220.0990.0630.0700.0690.0740.0500.0530.067
재난연도0.0000.0000.0000.0000.0311.0000.0090.0300.0120.0000.0160.0000.0000.0000.0120.0110.0000.0050.011
재난화재 수0.0340.0160.0320.0460.1810.0091.0000.0370.0090.0360.0000.0390.0000.0270.0000.0000.0000.0000.002
재난구급 수0.0580.0580.0580.1140.2870.0300.0371.0000.0960.1590.0360.1180.0690.0830.0900.0810.0770.0910.101
봄 재난 수0.0270.0360.0211.0000.0820.0120.0090.0961.0000.3570.3190.2740.0140.0120.0000.0040.0000.0000.000
여름 재난 수0.0320.0330.0291.0000.1380.0000.0360.1590.3571.0000.3970.3400.0020.0010.0000.0090.0000.0000.000
가을 재난 수0.0290.0410.0100.8970.0220.0160.0000.0360.3190.3971.0000.3040.0000.0000.0000.0000.0000.0000.000
겨울 재난 수0.0250.0250.0300.8780.0990.0000.0390.1180.2740.3400.3041.0000.0000.0000.0000.0000.0000.0000.000
월요일 재난 수0.0250.0260.0390.0300.0630.0000.0000.0690.0140.0020.0000.0001.0000.1010.1080.0940.1170.1050.095
화요일 재난 수0.0330.0240.0320.0000.0700.0000.0270.0830.0120.0010.0000.0000.1011.0000.0810.0970.1050.1090.100
수요일 재난 수0.0330.0370.0030.0000.0690.0120.0000.0900.0000.0000.0000.0000.1080.0811.0000.1080.1050.1130.088
목요일 재난 수0.0480.0460.0280.0420.0740.0110.0000.0810.0040.0090.0000.0000.0940.0970.1081.0000.1080.0990.089
금요일 재난 수0.0240.0360.0190.0000.0500.0000.0000.0770.0000.0000.0000.0000.1170.1050.1050.1081.0000.1120.098
토요일 재난 수0.0150.0220.0200.0190.0530.0050.0000.0910.0000.0000.0000.0000.1050.1090.1130.0990.1121.0000.088
일요일 재난 수0.0140.0350.0400.0200.0670.0110.0020.1010.0000.0000.0000.0000.0950.1000.0880.0890.0980.0881.000

Missing values

2024-03-14T20:27:42.818477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T20:27:43.547838image/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

격자아이디격자좌표(X)격자좌표(Y)재난연도재난월재난화재 수재난구조 수재난구급 수재난기타 수봄 재난 수여름 재난 수가을 재난 수겨울 재난 수월요일 재난 수화요일 재난 수수요일 재난 수목요일 재난 수금요일 재난 수토요일 재난 수일요일 재난 수
7131571316412323327647202112001000010000010
1424914250402023331647201911001000100100000
597595976041132332934720203001010000000001
345053450640882333224720197010001000000001
637326373341172330914720191010000010000001
503035030441032333104720206001001000000010
790027900341292333964720201001000010010010
7452674527412523339847202011010000100001000
2772227723407423328747202111001000100010000
2387023871406023330647202011001000101000000
격자아이디격자좌표(X)격자좌표(Y)재난연도재난월재난화재 수재난구조 수재난구급 수재난기타 수봄 재난 수여름 재난 수가을 재난 수겨울 재난 수월요일 재난 수화요일 재난 수수요일 재난 수목요일 재난 수금요일 재난 수토요일 재난 수일요일 재난 수
6999169992412223327247202011010000100010000
661916619241192332144720193001010000000001
5708357084411023332147202010001000100000010
7104710539292333284720193011010000000001
440394404040972333144720214001010000100000
4074940750409523326247201910011000100010000
263072630840712331534720199001000100000001
346953469640892332574720219011000100010000
9463594636418823324247202011001000100000100
7860378604412923331447202011002000101001000