Overview

Dataset statistics

Number of variables37
Number of observations10000
Missing cells22663
Missing cells (%)6.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.2 MiB
Average record size in memory331.0 B

Variable types

Categorical12
Text3
Numeric21
Boolean1

Dataset

Description2019년 기준부터 2021년까지 울산광역시 소방서·안전센터별 구급차량 재난일시, 현장도착일시, 병원도착일시 재난 활동정보 데이터
Author울산광역시
URLhttps://www.data.go.kr/data/15109122/fileData.do

Alerts

재난시명 has constant value ""Constant
지하 여부 has constant value ""Constant
화학사고여부 has constant value ""Constant
신고연도 has constant value ""Constant
상황종료연도 has constant value ""Constant
출동연도 has constant value ""Constant
도로명 has 2449 (24.5%) missing valuesMissing
읍면동순번 has 2394 (23.9%) missing valuesMissing
현장도착월 has 1234 (12.3%) missing valuesMissing
현장도착일 has 1234 (12.3%) missing valuesMissing
현장도착시 has 1234 (12.3%) missing valuesMissing
현장도착분 has 1234 (12.3%) missing valuesMissing
병원도착월 has 3221 (32.2%) missing valuesMissing
병원도착일 has 3221 (32.2%) missing valuesMissing
병원도착시 has 3221 (32.2%) missing valuesMissing
병원도착분 has 3221 (32.2%) missing valuesMissing
신고시 has 412 (4.1%) zerosZeros
신고분 has 142 (1.4%) zerosZeros
상황종료시 has 444 (4.4%) zerosZeros
상황종료분 has 168 (1.7%) zerosZeros
출동시 has 417 (4.2%) zerosZeros
출동분 has 152 (1.5%) zerosZeros
현장도착시 has 379 (3.8%) zerosZeros
현장도착분 has 142 (1.4%) zerosZeros
병원도착시 has 268 (2.7%) zerosZeros
병원도착분 has 112 (1.1%) zerosZeros

Reproduction

Analysis started2024-03-14 13:43:46.607344
Analysis finished2024-03-14 13:43:47.860604
Duration1.25 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

재난시명
Categorical

CONSTANT 

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

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
울산광역시 10000
100.0%

Length

2024-03-14T22:43:48.049476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T22:43:48.343031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
울산광역시 10000
100.0%

재난구명
Categorical

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
남구
3011 
울주군
2149 
중구
1843 
북구
1646 
동구
1351 

Length

Max length3
Median length2
Mean length2.2149
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row남구
2nd row동구
3rd row북구
4th row북구
5th row남구

Common Values

ValueCountFrequency (%)
남구 3011
30.1%
울주군 2149
21.5%
중구 1843
18.4%
북구 1646
16.5%
동구 1351
13.5%

Length

2024-03-14T22:43:48.656652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T22:43:48.979060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
남구 3011
30.1%
울주군 2149
21.5%
중구 1843
18.4%
북구 1646
16.5%
동구 1351
13.5%

재난동명
Text

Distinct83
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-03-14T22:43:49.953975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length2.913
Min length2

Characters and Unicode

Total characters29130
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 row신정동
2nd row화정동
3rd row양정동
4th row매곡동
5th row야음동
ValueCountFrequency (%)
신정동 849
 
8.5%
달동 592
 
5.9%
삼산동 404
 
4.0%
무거동 402
 
4.0%
방어동 392
 
3.9%
야음동 387
 
3.9%
범서읍 360
 
3.6%
온산읍 313
 
3.1%
화정동 304
 
3.0%
온양읍 286
 
2.9%
Other values (73) 5711
57.1%
2024-03-14T22:43:51.395536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 8081
27.7%
정 1480
 
5.1%
읍 1409
 
4.8%
산 1281
 
4.4%
신 976
 
3.4%
서 782
 
2.7%
면 740
 
2.5%
양 661
 
2.3%
달 636
 
2.2%
삼 623
 
2.1%
Other values (77) 12461
42.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 29130
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 8081
27.7%
정 1480
 
5.1%
읍 1409
 
4.8%
산 1281
 
4.4%
신 976
 
3.4%
서 782
 
2.7%
면 740
 
2.5%
양 661
 
2.3%
달 636
 
2.2%
삼 623
 
2.1%
Other values (77) 12461
42.8%

Most occurring scripts

ValueCountFrequency (%)
Hangul 29130
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 8081
27.7%
정 1480
 
5.1%
읍 1409
 
4.8%
산 1281
 
4.4%
신 976
 
3.4%
서 782
 
2.7%
면 740
 
2.5%
양 661
 
2.3%
달 636
 
2.2%
삼 623
 
2.1%
Other values (77) 12461
42.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 29130
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 8081
27.7%
정 1480
 
5.1%
읍 1409
 
4.8%
산 1281
 
4.4%
신 976
 
3.4%
서 782
 
2.7%
면 740
 
2.5%
양 661
 
2.3%
달 636
 
2.2%
삼 623
 
2.1%
Other values (77) 12461
42.8%

재난리명
Text

Distinct184
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-03-14T22:43:52.704129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length3
Mean length2.9129
Min length2

Characters and Unicode

Total characters29129
Distinct characters134
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

Unique7 ?
Unique (%)0.1%

Sample

1st row신정동
2nd row화정동
3rd row양정동
4th row매곡동
5th row야음동
ValueCountFrequency (%)
신정동 849
 
8.5%
달동 592
 
5.9%
삼산동 404
 
4.0%
무거동 402
 
4.0%
방어동 392
 
3.9%
야음동 387
 
3.9%
화정동 304
 
3.0%
반구동 244
 
2.4%
덕신리 239
 
2.4%
전하동 217
 
2.2%
Other values (174) 5970
59.7%
2024-03-14T22:43:54.432152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 8188
28.1%
리 2149
 
7.4%
정 1538
 
5.3%
신 1265
 
4.3%
산 1061
 
3.6%
화 819
 
2.8%
달 636
 
2.2%
천 559
 
1.9%
삼 436
 
1.5%
부 435
 
1.5%
Other values (124) 12043
41.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 29129
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 8188
28.1%
리 2149
 
7.4%
정 1538
 
5.3%
신 1265
 
4.3%
산 1061
 
3.6%
화 819
 
2.8%
달 636
 
2.2%
천 559
 
1.9%
삼 436
 
1.5%
부 435
 
1.5%
Other values (124) 12043
41.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 29129
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 8188
28.1%
리 2149
 
7.4%
정 1538
 
5.3%
신 1265
 
4.3%
산 1061
 
3.6%
화 819
 
2.8%
달 636
 
2.2%
천 559
 
1.9%
삼 436
 
1.5%
부 435
 
1.5%
Other values (124) 12043
41.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 29129
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 8188
28.1%
리 2149
 
7.4%
정 1538
 
5.3%
신 1265
 
4.3%
산 1061
 
3.6%
화 819
 
2.8%
달 636
 
2.2%
천 559
 
1.9%
삼 436
 
1.5%
부 435
 
1.5%
Other values (124) 12043
41.3%

관할서명
Categorical

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
남부소방서
3009 
중부소방서
2928 
북부소방서
1647 
동부소방서
1351 
온산소방서
1065 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row남부소방서
2nd row동부소방서
3rd row북부소방서
4th row북부소방서
5th row남부소방서

Common Values

ValueCountFrequency (%)
남부소방서 3009
30.1%
중부소방서 2928
29.3%
북부소방서 1647
16.5%
동부소방서 1351
13.5%
온산소방서 1065
 
10.7%

Length

2024-03-14T22:43:54.845228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T22:43:55.168141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
남부소방서 3009
30.1%
중부소방서 2928
29.3%
북부소방서 1647
16.5%
동부소방서 1351
13.5%
온산소방서 1065
 
10.7%

관할센터명
Categorical

Distinct25
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
신정119안전센터
843 
삼산119안전센터
 
663
언양119안전센터
 
606
병영119안전센터
 
598
매곡119안전센터
 
595
Other values (20)
6695 

Length

Max length10
Median length9
Mean length9.0069
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row신정119안전센터
2nd row화암119안전센터
3rd row염포119안전센터
4th row매곡119안전센터
5th row여천119안전센터

Common Values

ValueCountFrequency (%)
신정119안전센터 843
 
8.4%
삼산119안전센터 663
 
6.6%
언양119안전센터 606
 
6.1%
병영119안전센터 598
 
6.0%
매곡119안전센터 595
 
5.9%
유곡119안전센터 588
 
5.9%
여천119안전센터 533
 
5.3%
화암119안전센터 505
 
5.1%
범서119안전센터 457
 
4.6%
전하119안전센터 448
 
4.5%
Other values (15) 4164
41.6%

Length

2024-03-14T22:43:55.558448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
신정119안전센터 843
 
8.4%
삼산119안전센터 663
 
6.6%
언양119안전센터 606
 
6.1%
병영119안전센터 598
 
6.0%
매곡119안전센터 595
 
5.9%
유곡119안전센터 588
 
5.9%
여천119안전센터 533
 
5.3%
화암119안전센터 505
 
5.1%
범서119안전센터 457
 
4.6%
전하119안전센터 448
 
4.5%
Other values (15) 4164
41.6%

도로명
Text

MISSING 

Distinct1908
Distinct (%)25.3%
Missing2449
Missing (%)24.5%
Memory size156.2 KiB
2024-03-14T22:43:56.598530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length4.671964
Min length3

Characters and Unicode

Total characters35278
Distinct characters300
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique705 ?
Unique (%)9.3%

Sample

1st row봉월로50번길
2nd row월봉12길
3rd row중앙로48번길
4th row삼산중로48번길
5th row월봉10길
ValueCountFrequency (%)
방어진순환도로 140
 
1.9%
삼산로 79
 
1.0%
번영로 74
 
1.0%
수암로 65
 
0.9%
번영로107번길 64
 
0.8%
염포로 62
 
0.8%
월봉10길 60
 
0.8%
돋질로 58
 
0.8%
봉수로 57
 
0.8%
화합로 56
 
0.7%
Other values (1898) 6836
90.5%
2024-03-14T22:43:58.122862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
길 4852
 
13.8%
로 4192
 
11.9%
1 1797
 
5.1%
번 1751
 
5.0%
2 938
 
2.7%
4 746
 
2.1%
3 738
 
2.1%
산 709
 
2.0%
5 546
 
1.5%
7 520
 
1.5%
Other values (290) 18489
52.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 28287
80.2%
Decimal Number 6991
 
19.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
길 4852
 
17.2%
로 4192
 
14.8%
번 1751
 
6.2%
산 709
 
2.5%
대 506
 
1.8%
동 471
 
1.7%
화 470
 
1.7%
진 429
 
1.5%
수 427
 
1.5%
신 427
 
1.5%
Other values (280) 14053
49.7%
Decimal Number
ValueCountFrequency (%)
1 1797
25.7%
2 938
13.4%
4 746
10.7%
3 738
10.6%
5 546
 
7.8%
7 520
 
7.4%
6 490
 
7.0%
0 476
 
6.8%
8 392
 
5.6%
9 348
 
5.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 28287
80.2%
Common 6991
 
19.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
길 4852
 
17.2%
로 4192
 
14.8%
번 1751
 
6.2%
산 709
 
2.5%
대 506
 
1.8%
동 471
 
1.7%
화 470
 
1.7%
진 429
 
1.5%
수 427
 
1.5%
신 427
 
1.5%
Other values (280) 14053
49.7%
Common
ValueCountFrequency (%)
1 1797
25.7%
2 938
13.4%
4 746
10.7%
3 738
10.6%
5 546
 
7.8%
7 520
 
7.4%
6 490
 
7.0%
0 476
 
6.8%
8 392
 
5.6%
9 348
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 28287
80.2%
ASCII 6991
 
19.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
길 4852
 
17.2%
로 4192
 
14.8%
번 1751
 
6.2%
산 709
 
2.5%
대 506
 
1.8%
동 471
 
1.7%
화 470
 
1.7%
진 429
 
1.5%
수 427
 
1.5%
신 427
 
1.5%
Other values (280) 14053
49.7%
ASCII
ValueCountFrequency (%)
1 1797
25.7%
2 938
13.4%
4 746
10.7%
3 738
10.6%
5 546
 
7.8%
7 520
 
7.4%
6 490
 
7.0%
0 476
 
6.8%
8 392
 
5.6%
9 348
 
5.0%

읍면동순번
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)0.1%
Missing2394
Missing (%)23.9%
Infinite0
Infinite (%)0.0%
Mean1.3988956
Minimum1
Maximum11
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-14T22:43:58.495811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile3
Maximum11
Range10
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.0600479
Coefficient of variation (CV)0.75777486
Kurtosis23.498603
Mean1.3988956
Median Absolute Deviation (MAD)0
Skewness4.3220393
Sum10640
Variance1.1237016
MonotonicityNot monotonic
2024-03-14T22:43:58.847343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
1 5955
59.6%
2 1070
 
10.7%
3 279
 
2.8%
4 134
 
1.3%
7 83
 
0.8%
5 27
 
0.3%
6 27
 
0.3%
9 13
 
0.1%
11 9
 
0.1%
8 6
 
0.1%
(Missing) 2394
23.9%
ValueCountFrequency (%)
1 5955
59.6%
2 1070
 
10.7%
3 279
 
2.8%
4 134
 
1.3%
5 27
 
0.3%
6 27
 
0.3%
7 83
 
0.8%
8 6
 
0.1%
9 13
 
0.1%
10 3
 
< 0.1%
ValueCountFrequency (%)
11 9
 
0.1%
10 3
 
< 0.1%
9 13
 
0.1%
8 6
 
0.1%
7 83
 
0.8%
6 27
 
0.3%
5 27
 
0.3%
4 134
 
1.3%
3 279
 
2.8%
2 1070
10.7%

지하 여부
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

2024-03-14T22:43:59.223219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T22:43:59.511033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 10000
100.0%

화학사고여부
Boolean

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
False
10000 
ValueCountFrequency (%)
False 10000
100.0%
2024-03-14T22:43:59.747452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

신고연도
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2019
10000 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2019 10000
100.0%

Length

2024-03-14T22:44:00.068346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T22:44:00.226932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2019 10000
100.0%

신고월
Real number (ℝ)

Distinct11
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.1319
Minimum1
Maximum11
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-14T22:44:00.375151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median6
Q39
95-th percentile11
Maximum11
Range10
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.1049745
Coefficient of variation (CV)0.50636417
Kurtosis-1.1708448
Mean6.1319
Median Absolute Deviation (MAD)3
Skewness-0.080128684
Sum61319
Variance9.6408665
MonotonicityNot monotonic
2024-03-14T22:44:00.561521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
7 1008
10.1%
10 998
10.0%
9 971
9.7%
8 955
9.6%
5 939
9.4%
6 920
9.2%
4 894
8.9%
1 872
8.7%
3 840
8.4%
11 835
8.3%
ValueCountFrequency (%)
1 872
8.7%
2 768
7.7%
3 840
8.4%
4 894
8.9%
5 939
9.4%
6 920
9.2%
7 1008
10.1%
8 955
9.6%
9 971
9.7%
10 998
10.0%
ValueCountFrequency (%)
11 835
8.3%
10 998
10.0%
9 971
9.7%
8 955
9.6%
7 1008
10.1%
6 920
9.2%
5 939
9.4%
4 894
8.9%
3 840
8.4%
2 768
7.7%

신고일
Real number (ℝ)

Distinct31
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.6735
Minimum1
Maximum31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-14T22:44:00.761526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q18
median16
Q323
95-th percentile29
Maximum31
Range30
Interquartile range (IQR)15

Descriptive statistics

Standard deviation8.686751
Coefficient of variation (CV)0.55423173
Kurtosis-1.168312
Mean15.6735
Median Absolute Deviation (MAD)7
Skewness-0.0016156884
Sum156735
Variance75.459644
MonotonicityNot monotonic
2024-03-14T22:44:01.069553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
11 369
 
3.7%
23 363
 
3.6%
26 362
 
3.6%
21 357
 
3.6%
20 351
 
3.5%
16 350
 
3.5%
15 347
 
3.5%
17 340
 
3.4%
5 339
 
3.4%
22 335
 
3.4%
Other values (21) 6487
64.9%
ValueCountFrequency (%)
1 327
3.3%
2 323
3.2%
3 312
3.1%
4 330
3.3%
5 339
3.4%
6 322
3.2%
7 326
3.3%
8 328
3.3%
9 312
3.1%
10 308
3.1%
ValueCountFrequency (%)
31 166
1.7%
30 280
2.8%
29 294
2.9%
28 304
3.0%
27 308
3.1%
26 362
3.6%
25 307
3.1%
24 303
3.0%
23 363
3.6%
22 335
3.4%

신고시
Real number (ℝ)

ZEROS 

Distinct24
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.5603
Minimum0
Maximum23
Zeros412
Zeros (%)4.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-14T22:44:01.293751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q18
median13
Q318
95-th percentile22
Maximum23
Range23
Interquartile range (IQR)10

Descriptive statistics

Standard deviation6.5964623
Coefficient of variation (CV)0.5251835
Kurtosis-0.95924878
Mean12.5603
Median Absolute Deviation (MAD)5
Skewness-0.2456907
Sum125603
Variance43.513315
MonotonicityNot monotonic
2024-03-14T22:44:01.511363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
9 531
 
5.3%
18 528
 
5.3%
10 518
 
5.2%
15 510
 
5.1%
16 496
 
5.0%
19 494
 
4.9%
13 476
 
4.8%
20 476
 
4.8%
14 475
 
4.8%
21 470
 
4.7%
Other values (14) 5026
50.3%
ValueCountFrequency (%)
0 412
4.1%
1 330
3.3%
2 272
2.7%
3 244
2.4%
4 231
2.3%
5 221
2.2%
6 281
2.8%
7 352
3.5%
8 463
4.6%
9 531
5.3%
ValueCountFrequency (%)
23 435
4.3%
22 421
4.2%
21 470
4.7%
20 476
4.8%
19 494
4.9%
18 528
5.3%
17 455
4.5%
16 496
5.0%
15 510
5.1%
14 475
4.8%

신고분
Real number (ℝ)

ZEROS 

Distinct60
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.576
Minimum0
Maximum59
Zeros142
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-14T22:44:01.745029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q114
median30
Q345
95-th percentile56
Maximum59
Range59
Interquartile range (IQR)31

Descriptive statistics

Standard deviation17.286674
Coefficient of variation (CV)0.58448317
Kurtosis-1.2100059
Mean29.576
Median Absolute Deviation (MAD)15
Skewness-0.0084584761
Sum295760
Variance298.82911
MonotonicityNot monotonic
2024-03-14T22:44:02.203301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8 204
 
2.0%
31 198
 
2.0%
43 189
 
1.9%
19 186
 
1.9%
39 184
 
1.8%
45 181
 
1.8%
13 181
 
1.8%
1 181
 
1.8%
26 181
 
1.8%
22 178
 
1.8%
Other values (50) 8137
81.4%
ValueCountFrequency (%)
0 142
1.4%
1 181
1.8%
2 144
1.4%
3 168
1.7%
4 175
1.8%
5 172
1.7%
6 152
1.5%
7 164
1.6%
8 204
2.0%
9 164
1.6%
ValueCountFrequency (%)
59 147
1.5%
58 172
1.7%
57 171
1.7%
56 162
1.6%
55 163
1.6%
54 163
1.6%
53 172
1.7%
52 175
1.8%
51 171
1.7%
50 168
1.7%

상황종료연도
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2019
10000 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2019 10000
100.0%

Length

2024-03-14T22:44:02.451668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T22:44:02.608490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2019 10000
100.0%

상황종료월
Real number (ℝ)

Distinct11
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.1327
Minimum1
Maximum11
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-14T22:44:02.832654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median6
Q39
95-th percentile11
Maximum11
Range10
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.1053913
Coefficient of variation (CV)0.50636608
Kurtosis-1.1707542
Mean6.1327
Median Absolute Deviation (MAD)3
Skewness-0.080156821
Sum61327
Variance9.6434551
MonotonicityNot monotonic
2024-03-14T22:44:03.146552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
7 1007
10.1%
10 998
10.0%
9 969
9.7%
8 956
9.6%
5 937
9.4%
6 922
9.2%
4 895
8.9%
1 872
8.7%
3 839
8.4%
11 837
8.4%
ValueCountFrequency (%)
1 872
8.7%
2 768
7.7%
3 839
8.4%
4 895
8.9%
5 937
9.4%
6 922
9.2%
7 1007
10.1%
8 956
9.6%
9 969
9.7%
10 998
10.0%
ValueCountFrequency (%)
11 837
8.4%
10 998
10.0%
9 969
9.7%
8 956
9.6%
7 1007
10.1%
6 922
9.2%
5 937
9.4%
4 895
8.9%
3 839
8.4%
2 768
7.7%

상황종료일
Real number (ℝ)

Distinct31
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.6778
Minimum1
Maximum31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-14T22:44:03.391353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q18
median16
Q323
95-th percentile29
Maximum31
Range30
Interquartile range (IQR)15

Descriptive statistics

Standard deviation8.688011
Coefficient of variation (CV)0.55416009
Kurtosis-1.1686125
Mean15.6778
Median Absolute Deviation (MAD)7
Skewness-0.0019454232
Sum156778
Variance75.481535
MonotonicityNot monotonic
2024-03-14T22:44:03.618978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
11 362
 
3.6%
21 361
 
3.6%
26 357
 
3.6%
23 355
 
3.5%
15 352
 
3.5%
20 351
 
3.5%
16 344
 
3.4%
12 343
 
3.4%
17 340
 
3.4%
5 338
 
3.4%
Other values (21) 6497
65.0%
ValueCountFrequency (%)
1 329
3.3%
2 320
3.2%
3 316
3.2%
4 324
3.2%
5 338
3.4%
6 322
3.2%
7 329
3.3%
8 327
3.3%
9 312
3.1%
10 311
3.1%
ValueCountFrequency (%)
31 163
1.6%
30 284
2.8%
29 297
3.0%
28 301
3.0%
27 312
3.1%
26 357
3.6%
25 307
3.1%
24 313
3.1%
23 355
3.5%
22 333
3.3%

상황종료시
Real number (ℝ)

ZEROS 

Distinct24
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.6719
Minimum0
Maximum23
Zeros444
Zeros (%)4.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-14T22:44:03.839624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q18
median13
Q318
95-th percentile22
Maximum23
Range23
Interquartile range (IQR)10

Descriptive statistics

Standard deviation6.7365264
Coefficient of variation (CV)0.5316114
Kurtosis-0.97719681
Mean12.6719
Median Absolute Deviation (MAD)5
Skewness-0.2930082
Sum126719
Variance45.380788
MonotonicityNot monotonic
2024-03-14T22:44:04.041729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
16 555
 
5.5%
10 544
 
5.4%
11 532
 
5.3%
19 527
 
5.3%
20 524
 
5.2%
17 508
 
5.1%
22 488
 
4.9%
14 484
 
4.8%
21 469
 
4.7%
15 453
 
4.5%
Other values (14) 4916
49.2%
ValueCountFrequency (%)
0 444
4.4%
1 363
3.6%
2 315
3.1%
3 249
2.5%
4 236
2.4%
5 208
2.1%
6 243
2.4%
7 296
3.0%
8 369
3.7%
9 441
4.4%
ValueCountFrequency (%)
23 452
4.5%
22 488
4.9%
21 469
4.7%
20 524
5.2%
19 527
5.3%
18 440
4.4%
17 508
5.1%
16 555
5.5%
15 453
4.5%
14 484
4.8%

상황종료분
Real number (ℝ)

ZEROS 

Distinct60
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.534
Minimum0
Maximum59
Zeros168
Zeros (%)1.7%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-14T22:44:04.289505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q114
median30
Q345
95-th percentile57
Maximum59
Range59
Interquartile range (IQR)31

Descriptive statistics

Standard deviation17.402274
Coefficient of variation (CV)0.58922847
Kurtosis-1.2103316
Mean29.534
Median Absolute Deviation (MAD)15
Skewness0.0067425836
Sum295340
Variance302.83913
MonotonicityNot monotonic
2024-03-14T22:44:04.714684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11 207
 
2.1%
59 193
 
1.9%
44 191
 
1.9%
28 190
 
1.9%
10 187
 
1.9%
27 184
 
1.8%
41 184
 
1.8%
9 183
 
1.8%
13 182
 
1.8%
35 180
 
1.8%
Other values (50) 8119
81.2%
ValueCountFrequency (%)
0 168
1.7%
1 157
1.6%
2 168
1.7%
3 176
1.8%
4 156
1.6%
5 168
1.7%
6 149
1.5%
7 163
1.6%
8 160
1.6%
9 183
1.8%
ValueCountFrequency (%)
59 193
1.9%
58 176
1.8%
57 164
1.6%
56 168
1.7%
55 149
1.5%
54 176
1.8%
53 176
1.8%
52 179
1.8%
51 164
1.6%
50 169
1.7%

출동연도
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2019
10000 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2019 10000
100.0%

Length

2024-03-14T22:44:05.126919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T22:44:05.415227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2019 10000
100.0%

출동월
Real number (ℝ)

Distinct11
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.1319
Minimum1
Maximum11
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-14T22:44:05.698969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median6
Q39
95-th percentile11
Maximum11
Range10
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.1049745
Coefficient of variation (CV)0.50636417
Kurtosis-1.1708448
Mean6.1319
Median Absolute Deviation (MAD)3
Skewness-0.080128684
Sum61319
Variance9.6408665
MonotonicityNot monotonic
2024-03-14T22:44:06.046166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
7 1008
10.1%
10 998
10.0%
9 971
9.7%
8 955
9.6%
5 939
9.4%
6 920
9.2%
4 894
8.9%
1 872
8.7%
3 840
8.4%
11 835
8.3%
ValueCountFrequency (%)
1 872
8.7%
2 768
7.7%
3 840
8.4%
4 894
8.9%
5 939
9.4%
6 920
9.2%
7 1008
10.1%
8 955
9.6%
9 971
9.7%
10 998
10.0%
ValueCountFrequency (%)
11 835
8.3%
10 998
10.0%
9 971
9.7%
8 955
9.6%
7 1008
10.1%
6 920
9.2%
5 939
9.4%
4 894
8.9%
3 840
8.4%
2 768
7.7%

출동일
Real number (ℝ)

Distinct31
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.6744
Minimum1
Maximum31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-14T22:44:06.396331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q18
median16
Q323
95-th percentile29
Maximum31
Range30
Interquartile range (IQR)15

Descriptive statistics

Standard deviation8.6867906
Coefficient of variation (CV)0.55420243
Kurtosis-1.1682611
Mean15.6744
Median Absolute Deviation (MAD)7
Skewness-0.001533624
Sum156744
Variance75.460331
MonotonicityNot monotonic
2024-03-14T22:44:06.809412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
11 368
 
3.7%
23 363
 
3.6%
26 362
 
3.6%
21 357
 
3.6%
20 351
 
3.5%
16 350
 
3.5%
15 348
 
3.5%
17 340
 
3.4%
5 338
 
3.4%
19 335
 
3.4%
Other values (21) 6488
64.9%
ValueCountFrequency (%)
1 326
3.3%
2 324
3.2%
3 312
3.1%
4 330
3.3%
5 338
3.4%
6 323
3.2%
7 325
3.2%
8 329
3.3%
9 312
3.1%
10 308
3.1%
ValueCountFrequency (%)
31 167
1.7%
30 279
2.8%
29 294
2.9%
28 305
3.0%
27 307
3.1%
26 362
3.6%
25 307
3.1%
24 304
3.0%
23 363
3.6%
22 334
3.3%

출동시
Real number (ℝ)

ZEROS 

Distinct24
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.5641
Minimum0
Maximum23
Zeros417
Zeros (%)4.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-14T22:44:07.194541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q18
median13
Q318
95-th percentile22
Maximum23
Range23
Interquartile range (IQR)10

Descriptive statistics

Standard deviation6.5987154
Coefficient of variation (CV)0.52520399
Kurtosis-0.95791626
Mean12.5641
Median Absolute Deviation (MAD)5
Skewness-0.24892368
Sum125641
Variance43.543045
MonotonicityNot monotonic
2024-03-14T22:44:07.563980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
9 530
 
5.3%
18 529
 
5.3%
10 515
 
5.1%
15 513
 
5.1%
16 500
 
5.0%
19 497
 
5.0%
21 475
 
4.8%
13 474
 
4.7%
20 473
 
4.7%
14 470
 
4.7%
Other values (14) 5024
50.2%
ValueCountFrequency (%)
0 417
4.2%
1 330
3.3%
2 269
2.7%
3 242
2.4%
4 235
2.4%
5 218
2.2%
6 277
2.8%
7 353
3.5%
8 463
4.6%
9 530
5.3%
ValueCountFrequency (%)
23 435
4.3%
22 417
4.2%
21 475
4.8%
20 473
4.7%
19 497
5.0%
18 529
5.3%
17 457
4.6%
16 500
5.0%
15 513
5.1%
14 470
4.7%

출동분
Real number (ℝ)

ZEROS 

Distinct60
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.5887
Minimum0
Maximum59
Zeros152
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-14T22:44:07.954352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q115
median30
Q345
95-th percentile56
Maximum59
Range59
Interquartile range (IQR)30

Descriptive statistics

Standard deviation17.277852
Coefficient of variation (CV)0.58393415
Kurtosis-1.205169
Mean29.5887
Median Absolute Deviation (MAD)15
Skewness-0.0040762806
Sum295887
Variance298.52418
MonotonicityNot monotonic
2024-03-14T22:44:08.397126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9 208
 
2.1%
48 195
 
1.9%
32 193
 
1.9%
20 191
 
1.9%
19 187
 
1.9%
45 187
 
1.9%
23 186
 
1.9%
31 183
 
1.8%
51 183
 
1.8%
53 183
 
1.8%
Other values (50) 8104
81.0%
ValueCountFrequency (%)
0 152
1.5%
1 159
1.6%
2 166
1.7%
3 165
1.7%
4 152
1.5%
5 164
1.6%
6 179
1.8%
7 148
1.5%
8 171
1.7%
9 208
2.1%
ValueCountFrequency (%)
59 159
1.6%
58 180
1.8%
57 160
1.6%
56 159
1.6%
55 171
1.7%
54 161
1.6%
53 183
1.8%
52 146
1.5%
51 183
1.8%
50 163
1.6%

현장도착연도
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2019
8766 
<NA>
1234 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row2019
3rd row2019
4th row2019
5th row2019

Common Values

ValueCountFrequency (%)
2019 8766
87.7%
<NA> 1234
 
12.3%

Length

2024-03-14T22:44:08.811814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T22:44:09.116068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2019 8766
87.7%
na 1234
 
12.3%

현장도착월
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)0.1%
Missing1234
Missing (%)12.3%
Infinite0
Infinite (%)0.0%
Mean6.1497833
Minimum1
Maximum11
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-14T22:44:09.365625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median6
Q39
95-th percentile11
Maximum11
Range10
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.1007854
Coefficient of variation (CV)0.50421051
Kurtosis-1.1661758
Mean6.1497833
Median Absolute Deviation (MAD)3
Skewness-0.088315754
Sum53909
Variance9.6148699
MonotonicityNot monotonic
2024-03-14T22:44:09.576807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
7 883
8.8%
9 871
8.7%
10 870
8.7%
8 837
8.4%
6 819
8.2%
5 814
8.1%
4 781
7.8%
1 758
7.6%
3 737
7.4%
11 736
7.4%
(Missing) 1234
12.3%
ValueCountFrequency (%)
1 758
7.6%
2 660
6.6%
3 737
7.4%
4 781
7.8%
5 814
8.1%
6 819
8.2%
7 883
8.8%
8 837
8.4%
9 871
8.7%
10 870
8.7%
ValueCountFrequency (%)
11 736
7.4%
10 870
8.7%
9 871
8.7%
8 837
8.4%
7 883
8.8%
6 819
8.2%
5 814
8.1%
4 781
7.8%
3 737
7.4%
2 660
6.6%

현장도착일
Real number (ℝ)

MISSING 

Distinct31
Distinct (%)0.4%
Missing1234
Missing (%)12.3%
Infinite0
Infinite (%)0.0%
Mean15.665754
Minimum1
Maximum31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-14T22:44:09.877945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q18
median16
Q323
95-th percentile29
Maximum31
Range30
Interquartile range (IQR)15

Descriptive statistics

Standard deviation8.6953552
Coefficient of variation (CV)0.55505501
Kurtosis-1.1729335
Mean15.665754
Median Absolute Deviation (MAD)7
Skewness0.0034774575
Sum137326
Variance75.609202
MonotonicityNot monotonic
2024-03-14T22:44:10.201088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
23 337
 
3.4%
11 320
 
3.2%
21 315
 
3.1%
20 306
 
3.1%
26 304
 
3.0%
16 302
 
3.0%
15 297
 
3.0%
17 294
 
2.9%
5 294
 
2.9%
6 293
 
2.9%
Other values (21) 5704
57.0%
(Missing) 1234
 
12.3%
ValueCountFrequency (%)
1 284
2.8%
2 274
2.7%
3 284
2.8%
4 288
2.9%
5 294
2.9%
6 293
2.9%
7 292
2.9%
8 290
2.9%
9 280
2.8%
10 265
2.6%
ValueCountFrequency (%)
31 145
1.5%
30 251
2.5%
29 260
2.6%
28 273
2.7%
27 267
2.7%
26 304
3.0%
25 263
2.6%
24 265
2.6%
23 337
3.4%
22 286
2.9%

현장도착시
Real number (ℝ)

MISSING  ZEROS 

Distinct24
Distinct (%)0.3%
Missing1234
Missing (%)12.3%
Infinite0
Infinite (%)0.0%
Mean12.475017
Minimum0
Maximum23
Zeros379
Zeros (%)3.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-14T22:44:10.508577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q18
median13
Q318
95-th percentile22
Maximum23
Range23
Interquartile range (IQR)10

Descriptive statistics

Standard deviation6.666568
Coefficient of variation (CV)0.5343935
Kurtosis-0.99229934
Mean12.475017
Median Absolute Deviation (MAD)5
Skewness-0.229923
Sum109356
Variance44.443129
MonotonicityNot monotonic
2024-03-14T22:44:10.712994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
9 478
 
4.8%
19 455
 
4.5%
10 443
 
4.4%
18 441
 
4.4%
15 432
 
4.3%
16 430
 
4.3%
13 417
 
4.2%
20 414
 
4.1%
21 402
 
4.0%
8 402
 
4.0%
Other values (14) 4452
44.5%
(Missing) 1234
 
12.3%
ValueCountFrequency (%)
0 379
3.8%
1 306
3.1%
2 245
2.5%
3 228
2.3%
4 212
2.1%
5 208
2.1%
6 226
2.3%
7 309
3.1%
8 402
4.0%
9 478
4.8%
ValueCountFrequency (%)
23 386
3.9%
22 382
3.8%
21 402
4.0%
20 414
4.1%
19 455
4.5%
18 441
4.4%
17 380
3.8%
16 430
4.3%
15 432
4.3%
14 401
4.0%

현장도착분
Real number (ℝ)

MISSING  ZEROS 

Distinct60
Distinct (%)0.7%
Missing1234
Missing (%)12.3%
Infinite0
Infinite (%)0.0%
Mean29.596281
Minimum0
Maximum59
Zeros142
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-14T22:44:11.008564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q115
median30
Q345
95-th percentile56
Maximum59
Range59
Interquartile range (IQR)30

Descriptive statistics

Standard deviation17.262056
Coefficient of variation (CV)0.58325085
Kurtosis-1.204586
Mean29.596281
Median Absolute Deviation (MAD)15
Skewness-0.0086174442
Sum259441
Variance297.97858
MonotonicityNot monotonic
2024-03-14T22:44:11.450133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37 175
 
1.8%
21 168
 
1.7%
11 167
 
1.7%
24 166
 
1.7%
16 165
 
1.7%
43 165
 
1.7%
4 165
 
1.7%
7 165
 
1.7%
27 165
 
1.7%
50 164
 
1.6%
Other values (50) 7101
71.0%
(Missing) 1234
 
12.3%
ValueCountFrequency (%)
0 142
1.4%
1 138
1.4%
2 128
1.3%
3 128
1.3%
4 165
1.7%
5 152
1.5%
6 152
1.5%
7 165
1.7%
8 133
1.3%
9 132
1.3%
ValueCountFrequency (%)
59 149
1.5%
58 131
1.3%
57 138
1.4%
56 135
1.4%
55 151
1.5%
54 164
1.6%
53 143
1.4%
52 152
1.5%
51 133
1.3%
50 164
1.6%

병원도착연도
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2019
6779 
<NA>
3221 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row2019
3rd row2019
4th row<NA>
5th row2019

Common Values

ValueCountFrequency (%)
2019 6779
67.8%
<NA> 3221
32.2%

Length

2024-03-14T22:44:11.861763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T22:44:12.155991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2019 6779
67.8%
na 3221
32.2%

병원도착월
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)0.2%
Missing3221
Missing (%)32.2%
Infinite0
Infinite (%)0.0%
Mean6.1250922
Minimum1
Maximum11
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-14T22:44:12.445569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median6
Q39
95-th percentile11
Maximum11
Range10
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.1002223
Coefficient of variation (CV)0.50615112
Kurtosis-1.1625519
Mean6.1250922
Median Absolute Deviation (MAD)3
Skewness-0.08289454
Sum41522
Variance9.6113783
MonotonicityNot monotonic
2024-03-14T22:44:12.809240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
7 699
 
7.0%
10 670
 
6.7%
9 652
 
6.5%
8 650
 
6.5%
6 637
 
6.4%
5 635
 
6.3%
1 597
 
6.0%
4 592
 
5.9%
3 565
 
5.7%
11 560
 
5.6%
(Missing) 3221
32.2%
ValueCountFrequency (%)
1 597
6.0%
2 522
5.2%
3 565
5.7%
4 592
5.9%
5 635
6.3%
6 637
6.4%
7 699
7.0%
8 650
6.5%
9 652
6.5%
10 670
6.7%
ValueCountFrequency (%)
11 560
5.6%
10 670
6.7%
9 652
6.5%
8 650
6.5%
7 699
7.0%
6 637
6.4%
5 635
6.3%
4 592
5.9%
3 565
5.7%
2 522
5.2%

병원도착일
Real number (ℝ)

MISSING 

Distinct31
Distinct (%)0.5%
Missing3221
Missing (%)32.2%
Infinite0
Infinite (%)0.0%
Mean15.689925
Minimum1
Maximum31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-14T22:44:13.162246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q18
median16
Q323
95-th percentile29
Maximum31
Range30
Interquartile range (IQR)15

Descriptive statistics

Standard deviation8.6391396
Coefficient of variation (CV)0.55061702
Kurtosis-1.1582984
Mean15.689925
Median Absolute Deviation (MAD)7
Skewness0.0036377195
Sum106362
Variance74.634733
MonotonicityNot monotonic
2024-03-14T22:44:13.745782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
21 261
 
2.6%
23 257
 
2.6%
11 248
 
2.5%
16 244
 
2.4%
8 242
 
2.4%
12 241
 
2.4%
15 235
 
2.4%
17 231
 
2.3%
14 231
 
2.3%
20 231
 
2.3%
Other values (21) 4358
43.6%
(Missing) 3221
32.2%
ValueCountFrequency (%)
1 205
2.1%
2 211
2.1%
3 219
2.2%
4 215
2.1%
5 230
2.3%
6 221
2.2%
7 214
2.1%
8 242
2.4%
9 215
2.1%
10 198
2.0%
ValueCountFrequency (%)
31 107
1.1%
30 194
1.9%
29 207
2.1%
28 205
2.1%
27 205
2.1%
26 224
2.2%
25 204
2.0%
24 209
2.1%
23 257
2.6%
22 221
2.2%

병원도착시
Real number (ℝ)

MISSING  ZEROS 

Distinct24
Distinct (%)0.4%
Missing3221
Missing (%)32.2%
Infinite0
Infinite (%)0.0%
Mean12.459065
Minimum0
Maximum23
Zeros268
Zeros (%)2.7%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-14T22:44:14.116851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q18
median13
Q318
95-th percentile22
Maximum23
Range23
Interquartile range (IQR)10

Descriptive statistics

Standard deviation6.5856971
Coefficient of variation (CV)0.52858679
Kurtosis-0.96603162
Mean12.459065
Median Absolute Deviation (MAD)5
Skewness-0.22662991
Sum84460
Variance43.371406
MonotonicityNot monotonic
2024-03-14T22:44:14.478478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
9 386
 
3.9%
10 379
 
3.8%
19 346
 
3.5%
16 339
 
3.4%
13 331
 
3.3%
20 331
 
3.3%
14 329
 
3.3%
15 327
 
3.3%
11 324
 
3.2%
21 321
 
3.2%
Other values (14) 3366
33.7%
(Missing) 3221
32.2%
ValueCountFrequency (%)
0 268
2.7%
1 231
2.3%
2 203
2.0%
3 186
1.9%
4 153
 
1.5%
5 157
1.6%
6 174
1.7%
7 229
2.3%
8 285
2.9%
9 386
3.9%
ValueCountFrequency (%)
23 264
2.6%
22 296
3.0%
21 321
3.2%
20 331
3.3%
19 346
3.5%
18 311
3.1%
17 290
2.9%
16 339
3.4%
15 327
3.3%
14 329
3.3%

병원도착분
Real number (ℝ)

MISSING  ZEROS 

Distinct60
Distinct (%)0.9%
Missing3221
Missing (%)32.2%
Infinite0
Infinite (%)0.0%
Mean29.680779
Minimum0
Maximum59
Zeros112
Zeros (%)1.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-14T22:44:14.854777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q114
median30
Q345
95-th percentile57
Maximum59
Range59
Interquartile range (IQR)31

Descriptive statistics

Standard deviation17.402111
Coefficient of variation (CV)0.5863091
Kurtosis-1.2099416
Mean29.680779
Median Absolute Deviation (MAD)15
Skewness0.0019053208
Sum201206
Variance302.83346
MonotonicityNot monotonic
2024-03-14T22:44:15.291848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
59 137
 
1.4%
52 132
 
1.3%
34 131
 
1.3%
46 130
 
1.3%
22 130
 
1.3%
14 129
 
1.3%
51 128
 
1.3%
26 128
 
1.3%
12 127
 
1.3%
20 127
 
1.3%
Other values (50) 5480
54.8%
(Missing) 3221
32.2%
ValueCountFrequency (%)
0 112
1.1%
1 115
1.1%
2 113
1.1%
3 98
1.0%
4 114
1.1%
5 110
1.1%
6 106
1.1%
7 101
1.0%
8 116
1.2%
9 124
1.2%
ValueCountFrequency (%)
59 137
1.4%
58 105
1.1%
57 103
1.0%
56 123
1.2%
55 116
1.2%
54 123
1.2%
53 120
1.2%
52 132
1.3%
51 128
1.3%
50 112
1.1%

출동서명
Categorical

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
남부소방서
3192 
중부소방서
3119 
북부소방서
1584 
동부소방서
1195 
온산소방서
910 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row남부소방서
2nd row동부소방서
3rd row중부소방서
4th row북부소방서
5th row남부소방서

Common Values

ValueCountFrequency (%)
남부소방서 3192
31.9%
중부소방서 3119
31.2%
북부소방서 1584
15.8%
동부소방서 1195
 
11.9%
온산소방서 910
 
9.1%

Length

2024-03-14T22:44:15.701511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T22:44:16.019389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
남부소방서 3192
31.9%
중부소방서 3119
31.2%
북부소방서 1584
15.8%
동부소방서 1195
 
11.9%
온산소방서 910
 
9.1%

출동센터명
Categorical

Distinct25
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
신정119안전센터
881 
병영119안전센터
796 
삼산119안전센터
679 
성남119안전센터
 
561
언양119안전센터
 
516
Other values (20)
6567 

Length

Max length10
Median length9
Mean length9.0066
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row신정119안전센터
2nd row화정119안전센터
3rd row병영119안전센터
4th row매곡119안전센터
5th row신정119안전센터

Common Values

ValueCountFrequency (%)
신정119안전센터 881
 
8.8%
병영119안전센터 796
 
8.0%
삼산119안전센터 679
 
6.8%
성남119안전센터 561
 
5.6%
언양119안전센터 516
 
5.2%
화정119안전센터 500
 
5.0%
여천119안전센터 469
 
4.7%
무거119안전센터 458
 
4.6%
유곡119안전센터 454
 
4.5%
매곡119안전센터 432
 
4.3%
Other values (15) 4254
42.5%

Length

2024-03-14T22:44:16.388747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
신정119안전센터 881
 
8.8%
병영119안전센터 796
 
8.0%
삼산119안전센터 679
 
6.8%
성남119안전센터 561
 
5.6%
언양119안전센터 516
 
5.2%
화정119안전센터 500
 
5.0%
여천119안전센터 469
 
4.7%
무거119안전센터 458
 
4.6%
유곡119안전센터 454
 
4.5%
매곡119안전센터 432
 
4.3%
Other values (15) 4254
42.5%

Sample

재난시명재난구명재난동명재난리명관할서명관할센터명도로명읍면동순번지하 여부화학사고여부신고연도신고월신고일신고시신고분상황종료연도상황종료월상황종료일상황종료시상황종료분출동연도출동월출동일출동시출동분현장도착연도현장도착월현장도착일현장도착시현장도착분병원도착연도병원도착월병원도착일병원도착시병원도착분출동서명출동센터명
17699울산광역시남구신정동신정동남부소방서신정119안전센터봉월로50번길10N201964155520196416122019641557<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>남부소방서신정119안전센터
21309울산광역시동구화정동화정동동부소방서화암119안전센터월봉12길20N20197416222019741657201974162220197416262019741637동부소방서화정119안전센터
20676울산광역시북구양정동양정동북부소방서염포119안전센터<NA><NA>0N2019629154220196291645201962915422019629155620196291621중부소방서병영119안전센터
31336울산광역시북구매곡동매곡동북부소방서매곡119안전센터<NA><NA>0N2019922933201992210120199229352019922942<NA><NA><NA><NA><NA>북부소방서매곡119안전센터
22725울산광역시남구야음동야음동남부소방서여천119안전센터중앙로48번길20N20197165492019716623201971655020197165592019716611남부소방서신정119안전센터
20379울산광역시남구삼산동삼산동남부소방서삼산119안전센터삼산중로48번길10N2019627119201962712222019627111020196271114<NA><NA><NA><NA><NA>남부소방서삼산119안전센터
37852울산광역시북구신천동신천동북부소방서매곡119안전센터<NA><NA>0N201911120402019111211520191112040201911120442019111213북부소방서농소119안전센터
13730울산광역시동구화정동화정동동부소방서화암119안전센터월봉10길20N201952215820195222262019522159201952223201952229동부소방서화정119안전센터
22968울산광역시남구야음동야음동남부소방서여천119안전센터꽃대나리로46번길10N2019718992019718941201971891020197189172019718928남부소방서여천119안전센터
10022울산광역시남구부곡동부곡동남부소방서공단119안전센터<NA><NA>0N201941141620194114172019411416<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>남부소방서공단119안전센터
재난시명재난구명재난동명재난리명관할서명관할센터명도로명읍면동순번지하 여부화학사고여부신고연도신고월신고일신고시신고분상황종료연도상황종료월상황종료일상황종료시상황종료분출동연도출동월출동일출동시출동분현장도착연도현장도착월현장도착일현장도착시현장도착분병원도착연도병원도착월병원도착일병원도착시병원도착분출동서명출동센터명
27925울산광역시중구반구동반구동중부소방서병영119안전센터구교10길10N20198266132019826650201982661520198266182019826631중부소방서병영119안전센터
39138울산광역시동구전하동전하동동부소방서전하119안전센터진성4길10N2019112344620191123523201911234482019112345420191123459동부소방서화정119안전센터
32266울산광역시중구복산동복산동중부소방서유곡119안전센터번영로20N2019929853201992991120199298542019929857201992991중부소방서병영119안전센터
14537울산광역시북구매곡동매곡동북부소방서매곡119안전센터호계매곡1로20N20195922252019592331201959222620195922302019592251북부소방서매곡119안전센터
14074울산광역시울주군온양읍대안리온산소방서온양119안전센터<NA><NA>0N201955202420195520532019552024<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>온산소방서온양119안전센터
1807울산광역시울주군웅촌면곡천리온산소방서웅촌119안전센터곡천검단로10N2019117932201911793420191179322019117932<NA><NA><NA><NA><NA>온산소방서웅촌119안전센터
14091울산광역시남구달동달동남부소방서신정119안전센터삼산로93번길10N2019552258201955235420195522592019552352019552323남부소방서옥동119안전센터
3944울산광역시남구무거동무거동남부소방서무거119안전센터<NA><NA>0N20192615420192616520192615620192615112019261525중부소방서태화119안전센터
12130울산광역시북구천곡동천곡동북부소방서농소119안전센터덕곡길10N20194194452019419546201941944620194194532019419513북부소방서농소119안전센터
286울산광역시울주군온양읍망양리온산소방서온산119안전센터원동1길10N20191315442019131713201913154520191315522019131624온산소방서온산119안전센터