Overview

Dataset statistics

Number of variables16
Number of observations10000
Missing cells7063
Missing cells (%)4.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.3 MiB
Average record size in memory138.0 B

Variable types

Numeric2
Categorical8
DateTime4
Text2

Dataset

Description울산소방본부에서 제공하는 2020년 구조활동 현황 정보로서 접수일시, 긴급구조 종별, 분류, 규모, 상황종료일시, 관할서명, 서센터명 등의 정보를 제공하는 데이터임
Author소방청
URLhttps://www.data.go.kr/data/15080951/fileData.do

Alerts

긴급구조 종별명 has constant value ""Constant
긴급구조 규모명 has constant value ""Constant
긴급구조 시도명 is highly overall correlated with 일련번호 and 6 other fieldsHigh correlation
관할서명 is highly overall correlated with 긴급구조 우편번호 and 3 other fieldsHigh correlation
접수경로명 is highly overall correlated with 긴급구조 시도명High correlation
긴급구조 구군명 is highly overall correlated with 긴급구조 우편번호 and 3 other fieldsHigh correlation
서센터명 is highly overall correlated with 긴급구조 우편번호 and 3 other fieldsHigh correlation
긴급구조 분류명 is highly overall correlated with 긴급구조 시도명High correlation
일련번호 is highly overall correlated with 긴급구조 시도명High correlation
긴급구조 우편번호 is highly overall correlated with 긴급구조 시도명 and 3 other fieldsHigh correlation
접수경로명 is highly imbalanced (58.5%)Imbalance
긴급구조 시도명 is highly imbalanced (97.7%)Imbalance
긴급구조 리명 has 6981 (69.8%) missing valuesMissing
일련번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 07:45:28.844017
Analysis finished2023-12-12 07:45:33.198400
Duration4.35 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

일련번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37880.833
Minimum29
Maximum75916
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T16:45:33.292319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum29
5-th percentile3842.75
Q119051.5
median38031.5
Q356778
95-th percentile71938.25
Maximum75916
Range75887
Interquartile range (IQR)37726.5

Descriptive statistics

Standard deviation21819.469
Coefficient of variation (CV)0.57600288
Kurtosis-1.191514
Mean37880.833
Median Absolute Deviation (MAD)18883
Skewness0.0033933499
Sum3.7880833 × 108
Variance4.7608922 × 108
MonotonicityNot monotonic
2023-12-12T16:45:33.491119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
74786 1
 
< 0.1%
2801 1
 
< 0.1%
44650 1
 
< 0.1%
1122 1
 
< 0.1%
18204 1
 
< 0.1%
73476 1
 
< 0.1%
579 1
 
< 0.1%
7436 1
 
< 0.1%
72145 1
 
< 0.1%
50613 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
29 1
< 0.1%
44 1
< 0.1%
47 1
< 0.1%
49 1
< 0.1%
53 1
< 0.1%
65 1
< 0.1%
78 1
< 0.1%
80 1
< 0.1%
87 1
< 0.1%
92 1
< 0.1%
ValueCountFrequency (%)
75916 1
< 0.1%
75905 1
< 0.1%
75902 1
< 0.1%
75890 1
< 0.1%
75878 1
< 0.1%
75874 1
< 0.1%
75870 1
< 0.1%
75864 1
< 0.1%
75859 1
< 0.1%
75851 1
< 0.1%

접수경로명
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct10
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
이동전화
6573 
일반전화
2392 
기타
714 
사후각지
 
172
IP전화
 
81
Other values (5)
 
68

Length

Max length5
Median length4
Mean length3.8484
Min length2

Unique

Unique3 ?
Unique (%)< 0.1%

Sample

1st row이동전화
2nd row일반전화
3rd row이동전화
4th row이동전화
5th row일반전화

Common Values

ValueCountFrequency (%)
이동전화 6573
65.7%
일반전화 2392
 
23.9%
기타 714
 
7.1%
사후각지 172
 
1.7%
IP전화 81
 
0.8%
경찰 45
 
0.4%
공중전화 20
 
0.2%
영상신고 1
 
< 0.1%
MMS신고 1
 
< 0.1%
SMS신고 1
 
< 0.1%

Length

2023-12-12T16:45:33.651944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:45:33.809464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
이동전화 6573
65.7%
일반전화 2392
 
23.9%
기타 714
 
7.1%
사후각지 172
 
1.7%
ip전화 81
 
0.8%
경찰 45
 
0.4%
공중전화 20
 
0.2%
영상신고 1
 
< 0.1%
mms신고 1
 
< 0.1%
sms신고 1
 
< 0.1%

접수일시
Date

Distinct3423
Distinct (%)34.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2005-07-07 00:00:00
Maximum2017-06-28 00:00:00
2023-12-12T16:45:33.956570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:45:34.151417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

접수일시(상세)
Date

Distinct9343
Distinct (%)93.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2023-12-12 00:00:00
Maximum2023-12-12 23:59:34
2023-12-12T16:45:34.330029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:45:34.498475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

긴급구조 우편번호
Real number (ℝ)

HIGH CORRELATION 

Distinct194
Distinct (%)1.9%
Missing46
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean34851.046
Minimum34465
Maximum35227
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T16:45:34.712947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum34465
5-th percentile34490
Q134687
median34876
Q335043
95-th percentile35194
Maximum35227
Range762
Interquartile range (IQR)356

Descriptive statistics

Standard deviation227.02243
Coefficient of variation (CV)0.0065140779
Kurtosis-1.1398113
Mean34851.046
Median Absolute Deviation (MAD)176
Skewness-0.20228585
Sum3.4690732 × 108
Variance51539.184
MonotonicityNot monotonic
2023-12-12T16:45:34.858880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
34560 674
 
6.7%
34523 444
 
4.4%
34467 440
 
4.4%
34491 405
 
4.0%
34730 287
 
2.9%
34645 286
 
2.9%
35030 264
 
2.6%
35207 207
 
2.1%
34787 207
 
2.1%
35184 194
 
1.9%
Other values (184) 6546
65.5%
ValueCountFrequency (%)
34465 2
 
< 0.1%
34467 440
4.4%
34489 35
 
0.4%
34490 34
 
0.3%
34491 405
4.0%
34521 1
 
< 0.1%
34522 9
 
0.1%
34523 444
4.4%
34553 37
 
0.4%
34554 101
 
1.0%
ValueCountFrequency (%)
35227 2
 
< 0.1%
35218 74
 
0.7%
35217 36
 
0.4%
35207 207
2.1%
35206 11
 
0.1%
35204 43
 
0.4%
35195 89
0.9%
35194 72
 
0.7%
35191 62
 
0.6%
35184 194
1.9%

긴급구조 시도명
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
울산
9978 
<NA>
 
22

Length

Max length4
Median length2
Mean length2.0044
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
울산 9978
99.8%
<NA> 22
 
0.2%

Length

2023-12-12T16:45:34.995857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:45:35.105067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
울산 9978
99.8%
na 22
 
0.2%

긴급구조 구군명
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
울주군
3026 
남구
2770 
중구
1594 
북구
1496 
동구
1080 

Length

Max length4
Median length2
Mean length2.3094
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row울주군
2nd row중구
3rd row북구
4th row동구
5th row울주군

Common Values

ValueCountFrequency (%)
울주군 3026
30.3%
남구 2770
27.7%
중구 1594
15.9%
북구 1496
15.0%
동구 1080
 
10.8%
<NA> 34
 
0.3%

Length

2023-12-12T16:45:35.214341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:45:35.347192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
울주군 3026
30.3%
남구 2770
27.7%
중구 1594
15.9%
북구 1496
15.0%
동구 1080
 
10.8%
na 34
 
0.3%

긴급구조 동명
Text

Distinct83
Distinct (%)0.8%
Missing36
Missing (%)0.4%
Memory size156.2 KiB
2023-12-12T16:45:35.634798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length2.9266359
Min length2

Characters and Unicode

Total characters29161
Distinct characters87
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row웅촌면
2nd row다운동
3rd row진장동
4th row방어동
5th row범서읍
ValueCountFrequency (%)
신정동 675
 
6.8%
범서읍 477
 
4.8%
삼산동 444
 
4.5%
달동 440
 
4.4%
온산읍 416
 
4.2%
무거동 407
 
4.1%
언양읍 350
 
3.5%
온양읍 341
 
3.4%
방어동 287
 
2.9%
야음동 286
 
2.9%
Other values (73) 5841
58.6%
2023-12-12T16:45:36.126062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 7239
24.8%
읍 1855
 
6.4%
산 1283
 
4.4%
면 1169
 
4.0%
정 1124
 
3.9%
서 983
 
3.4%
신 808
 
2.8%
양 766
 
2.6%
온 757
 
2.6%
삼 747
 
2.6%
Other values (77) 12430
42.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 29161
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 7239
24.8%
읍 1855
 
6.4%
산 1283
 
4.4%
면 1169
 
4.0%
정 1124
 
3.9%
서 983
 
3.4%
신 808
 
2.8%
양 766
 
2.6%
온 757
 
2.6%
삼 747
 
2.6%
Other values (77) 12430
42.6%

Most occurring scripts

ValueCountFrequency (%)
Hangul 29161
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 7239
24.8%
읍 1855
 
6.4%
산 1283
 
4.4%
면 1169
 
4.0%
정 1124
 
3.9%
서 983
 
3.4%
신 808
 
2.8%
양 766
 
2.6%
온 757
 
2.6%
삼 747
 
2.6%
Other values (77) 12430
42.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 29161
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 7239
24.8%
읍 1855
 
6.4%
산 1283
 
4.4%
면 1169
 
4.0%
정 1124
 
3.9%
서 983
 
3.4%
신 808
 
2.8%
양 766
 
2.6%
온 757
 
2.6%
삼 747
 
2.6%
Other values (77) 12430
42.6%

긴급구조 리명
Text

MISSING 

Distinct114
Distinct (%)3.8%
Missing6981
Missing (%)69.8%
Memory size156.2 KiB
2023-12-12T16:45:36.500938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length2.9675389
Min length2

Characters and Unicode

Total characters8959
Distinct characters109
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.1%

Sample

1st row곡천리
2nd row굴화리
3rd row고산리
4th row금곡리
5th row처용리
ValueCountFrequency (%)
덕신리 264
 
8.7%
구영리 176
 
5.8%
천상리 127
 
4.2%
교동리 113
 
3.7%
운화리 88
 
2.9%
대안리 84
 
2.8%
등억리 69
 
2.3%
서부리 66
 
2.2%
율리 64
 
2.1%
동부리 61
 
2.0%
Other values (104) 1907
63.2%
2023-12-12T16:45:37.078177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
리 3019
33.7%
천 437
 
4.9%
덕 364
 
4.1%
신 320
 
3.6%
동 246
 
2.7%
화 237
 
2.6%
상 215
 
2.4%
구 207
 
2.3%
대 201
 
2.2%
영 176
 
2.0%
Other values (99) 3537
39.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8959
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 3019
33.7%
천 437
 
4.9%
덕 364
 
4.1%
신 320
 
3.6%
동 246
 
2.7%
화 237
 
2.6%
상 215
 
2.4%
구 207
 
2.3%
대 201
 
2.2%
영 176
 
2.0%
Other values (99) 3537
39.5%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8959
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 3019
33.7%
천 437
 
4.9%
덕 364
 
4.1%
신 320
 
3.6%
동 246
 
2.7%
화 237
 
2.6%
상 215
 
2.4%
구 207
 
2.3%
대 201
 
2.2%
영 176
 
2.0%
Other values (99) 3537
39.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8959
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
리 3019
33.7%
천 437
 
4.9%
덕 364
 
4.1%
신 320
 
3.6%
동 246
 
2.7%
화 237
 
2.6%
상 215
 
2.4%
구 207
 
2.3%
대 201
 
2.2%
영 176
 
2.0%
Other values (99) 3537
39.5%

긴급구조 종별명
Categorical

CONSTANT 

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

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
구조 10000
100.0%

Length

2023-12-12T16:45:37.242374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:45:37.335203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
구조 10000
100.0%

긴급구조 분류명
Categorical

HIGH CORRELATION 

Distinct19
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
기타안전사고
2639 
동물구조
1732 
교통사고
1729 
벌집제거
1572 
시건개방
1102 
Other values (14)
1226 

Length

Max length8
Median length4
Mean length4.5765
Min length2

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st row기타안전사고
2nd row벌집제거
3rd row벌집제거
4th row동물구조
5th row벌집제거

Common Values

ValueCountFrequency (%)
기타안전사고 2639
26.4%
동물구조 1732
17.3%
교통사고 1729
17.3%
벌집제거 1572
15.7%
시건개방 1102
11.0%
E/V사고 496
 
5.0%
산악사고 201
 
2.0%
수난사고 143
 
1.4%
추락사고 119
 
1.2%
기계사고 110
 
1.1%
Other values (9) 157
 
1.6%

Length

2023-12-12T16:45:37.439143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
기타안전사고 2639
26.4%
동물구조 1732
17.3%
교통사고 1729
17.3%
벌집제거 1572
15.7%
시건개방 1102
11.0%
e/v사고 496
 
5.0%
산악사고 201
 
2.0%
수난사고 143
 
1.4%
추락사고 119
 
1.2%
기계사고 110
 
1.1%
Other values (9) 157
 
1.6%

긴급구조 규모명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1차출동
10000 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1차출동
2nd row1차출동
3rd row1차출동
4th row1차출동
5th row1차출동

Common Values

ValueCountFrequency (%)
1차출동 10000
100.0%

Length

2023-12-12T16:45:37.565402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:45:37.696109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1차출동 10000
100.0%

상황종료일시
Date

Distinct3419
Distinct (%)34.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2005-07-07 00:00:00
Maximum2017-06-29 00:00:00
2023-12-12T16:45:37.791839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:45:37.929398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

상황종료일시(상세)
Date

Distinct9373
Distinct (%)93.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2023-12-12 00:00:06
Maximum2023-12-12 23:59:52
2023-12-12T16:45:38.076973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:45:38.247752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

관할서명
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
중부소방서
4143 
남부소방서
2770 
동부소방서
1573 
온산소방서
1474 
<NA>
 
40

Length

Max length5
Median length5
Mean length4.996
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row온산소방서
2nd row중부소방서
3rd row중부소방서
4th row동부소방서
5th row중부소방서

Common Values

ValueCountFrequency (%)
중부소방서 4143
41.4%
남부소방서 2770
27.7%
동부소방서 1573
 
15.7%
온산소방서 1474
 
14.7%
<NA> 40
 
0.4%

Length

2023-12-12T16:45:38.378468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:45:38.486955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
중부소방서 4143
41.4%
남부소방서 2770
27.7%
동부소방서 1573
 
15.7%
온산소방서 1474
 
14.7%
na 40
 
0.4%

서센터명
Categorical

HIGH CORRELATION 

Distinct26
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
신정119안전센터
941 
언양119안전센터
936 
병영119안전센터
781 
온산119안전센터
633 
농소119안전센터
610 
Other values (21)
6099 

Length

Max length10
Median length9
Mean length8.9581
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row웅촌119안전센터
2nd row태화119안전센터
3rd row병영119안전센터
4th row화암119안전센터
5th row범서119안전센터

Common Values

ValueCountFrequency (%)
신정119안전센터 941
 
9.4%
언양119안전센터 936
 
9.4%
병영119안전센터 781
 
7.8%
온산119안전센터 633
 
6.3%
농소119안전센터 610
 
6.1%
성남119안전센터 609
 
6.1%
범서119안전센터 599
 
6.0%
전하119안전센터 550
 
5.5%
무거119안전센터 525
 
5.2%
삼산119안전센터 509
 
5.1%
Other values (16) 3307
33.1%

Length

2023-12-12T16:45:38.602945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
신정119안전센터 941
 
9.4%
언양119안전센터 936
 
9.4%
병영119안전센터 781
 
7.8%
온산119안전센터 633
 
6.3%
농소119안전센터 610
 
6.1%
성남119안전센터 609
 
6.1%
범서119안전센터 599
 
6.0%
전하119안전센터 550
 
5.5%
무거119안전센터 525
 
5.2%
삼산119안전센터 509
 
5.1%
Other values (16) 3307
33.1%

Interactions

2023-12-12T16:45:31.991371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:45:31.690640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:45:32.128448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:45:31.851849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T16:45:38.687664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
일련번호접수경로명긴급구조 우편번호긴급구조 구군명긴급구조 동명긴급구조 분류명관할서명서센터명
일련번호1.0000.3850.0700.0660.1340.4260.0380.343
접수경로명0.3851.0000.0550.0430.1070.2690.0320.136
긴급구조 우편번호0.0700.0551.0000.9940.9990.2730.9230.940
긴급구조 구군명0.0660.0430.9941.0001.0000.2810.8440.999
긴급구조 동명0.1340.1070.9991.0001.0000.4651.0000.993
긴급구조 분류명0.4260.2690.2730.2810.4651.0000.2180.314
관할서명0.0380.0320.9230.8441.0000.2181.0001.000
서센터명0.3430.1360.9400.9990.9930.3141.0001.000
2023-12-12T16:45:38.810534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
긴급구조 시도명관할서명접수경로명긴급구조 구군명서센터명긴급구조 분류명
긴급구조 시도명1.0001.0001.0001.0001.0001.000
관할서명1.0001.0000.0190.8190.9990.120
접수경로명1.0000.0191.0000.0180.0480.104
긴급구조 구군명1.0000.8190.0181.0000.9490.143
서센터명1.0000.9990.0480.9491.0000.092
긴급구조 분류명1.0000.1200.1040.1430.0921.000
2023-12-12T16:45:38.932269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
일련번호긴급구조 우편번호접수경로명긴급구조 시도명긴급구조 구군명긴급구조 분류명관할서명서센터명
일련번호1.0000.0190.1271.0000.0280.1740.0230.128
긴급구조 우편번호0.0191.0000.0171.0000.8910.1050.8230.697
접수경로명0.1270.0171.0001.0000.0180.1040.0190.048
긴급구조 시도명1.0001.0001.0001.0001.0001.0001.0001.000
긴급구조 구군명0.0280.8910.0181.0001.0000.1430.8190.949
긴급구조 분류명0.1740.1050.1041.0000.1431.0000.1200.092
관할서명0.0230.8230.0191.0000.8190.1201.0000.999
서센터명0.1280.6970.0481.0000.9490.0920.9991.000

Missing values

2023-12-12T16:45:32.303627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T16:45:32.563983image/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.
2023-12-12T16:45:32.798488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

일련번호접수경로명접수일시접수일시(상세)긴급구조 우편번호긴급구조 시도명긴급구조 구군명긴급구조 동명긴급구조 리명긴급구조 종별명긴급구조 분류명긴급구조 규모명상황종료일시상황종료일시(상세)관할서명서센터명
7478574786이동전화2016-12-2715:54:0735071울산울주군웅촌면곡천리구조기타안전사고1차출동2016-12-2716:03:28온산소방서웅촌119안전센터
3180331801일반전화2012-09-2415:57:3435104울산중구다운동<NA>구조벌집제거1차출동2012-09-2416:50:45중부소방서태화119안전센터
5620256203이동전화2015-10-0510:27:1634875울산북구진장동<NA>구조벌집제거1차출동2015-10-0516:19:14중부소방서병영119안전센터
7374373744이동전화2016-11-1817:06:5334730울산동구방어동<NA>구조동물구조1차출동2016-11-1817:29:49동부소방서화암119안전센터
4098440980일반전화2013-09-2014:09:2734921울산울주군범서읍굴화리구조벌집제거1차출동2013-09-2014:28:11중부소방서범서119안전센터
4079740793이동전화2013-09-2617:51:1134875울산북구진장동<NA>구조교통사고1차출동2013-09-2619:03:52중부소방서병영119안전센터
55445537일반전화2007-08-2301:08:2735113울산중구반구동<NA>구조기타안전사고1차출동2007-08-2301:31:29중부소방서병영119안전센터
6058560586이동전화2015-09-1411:20:0235049울산울주군온양읍고산리구조벌집제거1차출동2015-09-1412:13:17온산소방서온양119안전센터
4570345701일반전화2013-12-0413:19:1735207울산중구태화동<NA>구조벌집제거1차출동2013-12-0413:42:18중부소방서태화119안전센터
1981119806이동전화2010-08-2209:49:3334963울산울주군삼동면금곡리구조동물구조1차출동2010-08-2210:43:26온산소방서웅촌119안전센터
일련번호접수경로명접수일시접수일시(상세)긴급구조 우편번호긴급구조 시도명긴급구조 구군명긴급구조 동명긴급구조 리명긴급구조 종별명긴급구조 분류명긴급구조 규모명상황종료일시상황종료일시(상세)관할서명서센터명
6822368224기타2016-07-1717:14:2434523울산남구삼산동<NA>구조기타안전사고1차출동2016-07-1718:12:38남부소방서삼산119안전센터
3505235051이동전화2012-08-2216:57:2235217울산중구학산동<NA>구조기타안전사고1차출동2012-08-2217:30:27중부소방서성남119안전센터
2439824395이동전화2011-04-0716:11:1934813울산북구산하동<NA>구조교통사고1차출동2011-04-0716:57:38동부소방서전하119안전센터
6123261233일반전화2015-09-0310:41:4834757울산동구일산동<NA>구조벌집제거1차출동2015-09-0311:13:07동부소방서화정119안전센터
6393663937이동전화2016-07-0220:54:2434491울산남구무거동<NA>구조기타안전사고1차출동2016-07-0221:18:51남부소방서무거119안전센터
3828038281이동전화2013-10-1812:30:3334914울산울주군두서면인보리구조벌집제거1차출동2013-10-1812:59:33중부소방서언양119안전센터
6194261943이동전화2016-04-0312:33:4834687울산남구여천동<NA>구조동물구조1차출동2016-04-0313:22:37남부소방서남부화학구조대
1393913933이동전화2009-08-1415:18:1135094울산울주군청량읍율리구조동물구조1차출동2009-08-1416:26:36온산소방서온산119안전센터
3695236952이동전화2013-02-1320:06:0634787울산동구화정동<NA>구조교통사고1차출동2013-02-1320:25:38동부소방서화암119안전센터
5529155292이동전화2015-03-1215:18:2034645울산남구야음동<NA>구조기타안전사고1차출동2015-03-1215:40:31남부소방서여천119안전센터