Overview

Dataset statistics

Number of variables25
Number of observations10000
Missing cells10445
Missing cells (%)4.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.0 MiB
Average record size in memory211.0 B

Variable types

Numeric3
Categorical13
DateTime6
Text3

Dataset

Description울산 소방본부의 2006년 부터 2020년까지의 출동보고현황 정보로, 접수경로, 긴급구조 우편번호, 접수일시, 긴급구조 분류, 규모, 상황종료일시, 관할서와 서센터 정보를 제공하는 데이터임
Author소방청
URLhttps://www.data.go.kr/data/15080941/fileData.do

Alerts

긴급구조시도명 has constant value ""Constant
긴급구조규모명 has constant value ""Constant
접수경로명 is highly imbalanced (61.7%)Imbalance
타시도신고여부 is highly imbalanced (98.6%)Imbalance
지하여부 is highly imbalanced (82.5%)Imbalance
고속도로사고여부 is highly imbalanced (99.9%)Imbalance
긴급구조리명 has 7468 (74.7%) missing valuesMissing
도로명 has 2936 (29.4%) missing valuesMissing
일련번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 03:07:19.485294
Analysis finished2023-12-12 03:07:23.659853
Duration4.17 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

일련번호
Real number (ℝ)

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3950336.4
Minimum3915269
Maximum3982794
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T12:07:23.761572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3915269
5-th percentile3917990.8
Q13928790.5
median3956639
Q33968480.5
95-th percentile3979112.1
Maximum3982794
Range67525
Interquartile range (IQR)39690

Descriptive statistics

Standard deviation21185.8
Coefficient of variation (CV)0.0053630368
Kurtosis-1.4555138
Mean3950336.4
Median Absolute Deviation (MAD)19228.5
Skewness-0.21271897
Sum3.9503364 × 1010
Variance4.4883812 × 108
MonotonicityNot monotonic
2023-12-12T12:07:23.954603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3927095 1
 
< 0.1%
3917280 1
 
< 0.1%
3972246 1
 
< 0.1%
3923086 1
 
< 0.1%
3954598 1
 
< 0.1%
3922402 1
 
< 0.1%
3959641 1
 
< 0.1%
3958089 1
 
< 0.1%
3932312 1
 
< 0.1%
3932883 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
3915269 1
< 0.1%
3915270 1
< 0.1%
3915273 1
< 0.1%
3915285 1
< 0.1%
3915292 1
< 0.1%
3915296 1
< 0.1%
3915300 1
< 0.1%
3915302 1
< 0.1%
3915307 1
< 0.1%
3915311 1
< 0.1%
ValueCountFrequency (%)
3982794 1
< 0.1%
3982792 1
< 0.1%
3982781 1
< 0.1%
3982779 1
< 0.1%
3982777 1
< 0.1%
3982775 1
< 0.1%
3982765 1
< 0.1%
3982754 1
< 0.1%
3982744 1
< 0.1%
3982740 1
< 0.1%

접수경로명
Categorical

IMBALANCE 

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
이동전화
7701 
기타
1302 
일반전화
 
514
사후각지
 
376
IP전화
 
90
Other values (3)
 
17

Length

Max length6
Median length4
Mean length3.7412
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
이동전화 7701
77.0%
기타 1302
 
13.0%
일반전화 514
 
5.1%
사후각지 376
 
3.8%
IP전화 90
 
0.9%
공중전화 8
 
0.1%
의료지도연결 7
 
0.1%
SMS신고 2
 
< 0.1%

Length

2023-12-12T12:07:24.151412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:07:24.316364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
이동전화 7701
77.0%
기타 1302
 
13.0%
일반전화 514
 
5.1%
사후각지 376
 
3.8%
ip전화 90
 
0.9%
공중전화 8
 
0.1%
의료지도연결 7
 
0.1%
sms신고 2
 
< 0.1%

접수일시
Date

Distinct132
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2020-01-01 00:00:00
Maximum2020-05-11 00:00:00
2023-12-12T12:07:24.491852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:07:24.675720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

접수일시(상세)
Date

Distinct5457
Distinct (%)54.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2023-12-12 00:00:02
Maximum2023-12-12 23:59:29
2023-12-12T12:07:24.880787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:07:25.048303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

타시도신고여부
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
아니오
9987 
예
 
13

Length

Max length3
Median length3
Mean length2.9974
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row아니오
2nd row아니오
3rd row예
4th row아니오
5th row아니오

Common Values

ValueCountFrequency (%)
아니오 9987
99.9%
예 13
 
0.1%

Length

2023-12-12T12:07:25.229981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:07:25.384726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
아니오 9987
99.9%
예 13
 
0.1%

긴급구조우편번호
Real number (ℝ)

Distinct182
Distinct (%)1.8%
Missing41
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean34840.035
Minimum34466
Maximum35227
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T12:07:25.561511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum34466
5-th percentile34467
Q134645
median34845
Q335038
95-th percentile35204
Maximum35227
Range761
Interquartile range (IQR)393

Descriptive statistics

Standard deviation232.69596
Coefficient of variation (CV)0.006678982
Kurtosis-1.1993872
Mean34840.035
Median Absolute Deviation (MAD)200
Skewness-0.076691748
Sum3.469719 × 108
Variance54147.412
MonotonicityNot monotonic
2023-12-12T12:07:25.830737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
34560 881
 
8.8%
34467 561
 
5.6%
34523 386
 
3.9%
34730 380
 
3.8%
34645 378
 
3.8%
34491 362
 
3.6%
34787 274
 
2.7%
35030 267
 
2.7%
34764 226
 
2.3%
35207 214
 
2.1%
Other values (172) 6030
60.3%
ValueCountFrequency (%)
34466 1
 
< 0.1%
34467 561
5.6%
34489 43
 
0.4%
34490 21
 
0.2%
34491 362
3.6%
34522 7
 
0.1%
34523 386
3.9%
34553 29
 
0.3%
34554 76
 
0.8%
34559 24
 
0.2%
ValueCountFrequency (%)
35227 3
 
< 0.1%
35218 93
0.9%
35217 87
0.9%
35207 214
2.1%
35206 5
 
0.1%
35204 108
1.1%
35203 1
 
< 0.1%
35195 143
1.4%
35194 58
 
0.6%
35191 67
 
0.7%

긴급구조시도명
Categorical

CONSTANT 

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

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
울산 10000
100.0%

Length

2023-12-12T12:07:26.050034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:07:26.194356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
울산 10000
100.0%

긴급구조구군명
Categorical

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
남구
2985 
울주군
2532 
중구
1734 
북구
1539 
동구
1210 

Length

Max length3
Median length2
Mean length2.2532
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
남구 2985
29.8%
울주군 2532
25.3%
중구 1734
17.3%
북구 1539
15.4%
동구 1210
12.1%

Length

2023-12-12T12:07:26.343129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:07:26.879107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
남구 2985
29.8%
울주군 2532
25.3%
중구 1734
17.3%
북구 1539
15.4%
동구 1210
12.1%

긴급구조동명
Text

Distinct81
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T12:07:27.244640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length2.9165
Min length2

Characters and Unicode

Total characters29165
Distinct characters85
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 row신정동
2nd row온양읍
3rd row언양읍
4th row신정동
5th row진장동
ValueCountFrequency (%)
신정동 881
 
8.8%
달동 561
 
5.6%
범서읍 401
 
4.0%
삼산동 386
 
3.9%
방어동 380
 
3.8%
야음동 378
 
3.8%
무거동 362
 
3.6%
온산읍 361
 
3.6%
온양읍 312
 
3.1%
언양읍 303
 
3.0%
Other values (71) 5675
56.8%
2023-12-12T12:07:27.849918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 7690
26.4%
읍 1604
 
5.5%
정 1450
 
5.0%
산 1246
 
4.3%
신 1019
 
3.5%
면 928
 
3.2%
서 855
 
2.9%
양 689
 
2.4%
온 673
 
2.3%
삼 659
 
2.3%
Other values (75) 12352
42.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 29165
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 7690
26.4%
읍 1604
 
5.5%
정 1450
 
5.0%
산 1246
 
4.3%
신 1019
 
3.5%
면 928
 
3.2%
서 855
 
2.9%
양 689
 
2.4%
온 673
 
2.3%
삼 659
 
2.3%
Other values (75) 12352
42.4%

Most occurring scripts

ValueCountFrequency (%)
Hangul 29165
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 7690
26.4%
읍 1604
 
5.5%
정 1450
 
5.0%
산 1246
 
4.3%
신 1019
 
3.5%
면 928
 
3.2%
서 855
 
2.9%
양 689
 
2.4%
온 673
 
2.3%
삼 659
 
2.3%
Other values (75) 12352
42.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 29165
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 7690
26.4%
읍 1604
 
5.5%
정 1450
 
5.0%
산 1246
 
4.3%
신 1019
 
3.5%
면 928
 
3.2%
서 855
 
2.9%
양 689
 
2.4%
온 673
 
2.3%
삼 659
 
2.3%
Other values (75) 12352
42.4%

긴급구조리명
Text

MISSING 

Distinct108
Distinct (%)4.3%
Missing7468
Missing (%)74.7%
Memory size156.2 KiB
2023-12-12T12:07:28.265990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length3
Mean length3.0063191
Min length2

Characters and Unicode

Total characters7612
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

Unique4 ?
Unique (%)0.2%

Sample

1st row망양리
2nd row송대리
3rd row덕신리
4th row덕신리
5th row어음리
ValueCountFrequency (%)
덕신리 267
 
10.5%
구영리 174
 
6.9%
교동리 116
 
4.6%
대안리 100
 
3.9%
천상리 98
 
3.9%
운화리 73
 
2.9%
굴화리 73
 
2.9%
상남리 70
 
2.8%
서부리 64
 
2.5%
동부리 53
 
2.1%
Other values (98) 1444
57.0%
2023-12-12T12:07:28.891766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
리 2532
33.3%
덕 348
 
4.6%
신 340
 
4.5%
천 280
 
3.7%
대 246
 
3.2%
화 240
 
3.2%
동 240
 
3.2%
상 221
 
2.9%
구 195
 
2.6%
영 174
 
2.3%
Other values (99) 2796
36.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7612
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 2532
33.3%
덕 348
 
4.6%
신 340
 
4.5%
천 280
 
3.7%
대 246
 
3.2%
화 240
 
3.2%
동 240
 
3.2%
상 221
 
2.9%
구 195
 
2.6%
영 174
 
2.3%
Other values (99) 2796
36.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7612
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 2532
33.3%
덕 348
 
4.6%
신 340
 
4.5%
천 280
 
3.7%
대 246
 
3.2%
화 240
 
3.2%
동 240
 
3.2%
상 221
 
2.9%
구 195
 
2.6%
영 174
 
2.3%
Other values (99) 2796
36.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7612
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
리 2532
33.3%
덕 348
 
4.6%
신 340
 
4.5%
천 280
 
3.7%
대 246
 
3.2%
화 240
 
3.2%
동 240
 
3.2%
상 221
 
2.9%
구 195
 
2.6%
영 174
 
2.3%
Other values (99) 2796
36.7%

긴급구조종별명
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
구급
6586 
구조
1756 
화재
1287 
기타
 
371

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
구급 6586
65.9%
구조 1756
 
17.6%
화재 1287
 
12.9%
기타 371
 
3.7%

Length

2023-12-12T12:07:29.094431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:07:29.242849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
구급 6586
65.9%
구조 1756
 
17.6%
화재 1287
 
12.9%
기타 371
 
3.7%

긴급구조분류명
Categorical

Distinct39
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
질병외
1911 
질병
1625 
구급기타
1222 
교통사고
947 
기타화재
829 
Other values (34)
3466 

Length

Max length14
Median length11
Mean length3.7007
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row구급기타
2nd row질병
3rd row기타안전사고
4th row기타화재
5th row구급기타

Common Values

ValueCountFrequency (%)
질병외 1911
19.1%
질병 1625
16.2%
구급기타 1222
12.2%
교통사고 947
9.5%
기타화재 829
8.3%
기타안전사고 617
 
6.2%
사고부상 507
 
5.1%
부상 367
 
3.7%
심정지 312
 
3.1%
기타출동 222
 
2.2%
Other values (29) 1441
14.4%

Length

2023-12-12T12:07:29.430279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
질병외 1911
19.1%
질병 1625
16.2%
구급기타 1222
12.2%
교통사고 947
9.5%
기타화재 829
8.3%
기타안전사고 617
 
6.2%
사고부상 507
 
5.1%
부상 367
 
3.7%
심정지 312
 
3.1%
기타출동 222
 
2.2%
Other values (29) 1441
14.4%

긴급구조규모명
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

2023-12-12T12:07:29.594941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:07:29.712823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1차출동 10000
100.0%

상황종료일시
Date

Distinct132
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2020-01-01 00:00:00
Maximum2020-05-11 00:00:00
2023-12-12T12:07:29.860690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:07:30.069941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

상황종료일시(상세)
Date

Distinct5454
Distinct (%)54.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2023-12-12 00:00:06
Maximum2023-12-12 23:59:58
2023-12-12T12:07:30.268999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:07:30.438259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

관할서명
Categorical

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
남부소방서
2998 
중부소방서
2996 
북부소방서
1536 
온산소방서
1260 
동부소방서
1210 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
남부소방서 2998
30.0%
중부소방서 2996
30.0%
북부소방서 1536
15.4%
온산소방서 1260
12.6%
동부소방서 1210
12.1%

Length

2023-12-12T12:07:30.645078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:07:30.764498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
남부소방서 2998
30.0%
중부소방서 2996
30.0%
북부소방서 1536
15.4%
온산소방서 1260
12.6%
동부소방서 1210
12.1%

서센터명
Categorical

Distinct25
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
신정119안전센터
802 
언양119안전센터
768 
삼산119안전센터
 
604
유곡119안전센터
 
596
매곡119안전센터
 
568
Other values (20)
6662 

Length

Max length10
Median length9
Mean length9.0074
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row신정119안전센터
2nd row온산119안전센터
3rd row언양119안전센터
4th row신정119안전센터
5th row송정119안전센터

Common Values

ValueCountFrequency (%)
신정119안전센터 802
 
8.0%
언양119안전센터 768
 
7.7%
삼산119안전센터 604
 
6.0%
유곡119안전센터 596
 
6.0%
매곡119안전센터 568
 
5.7%
옥동119안전센터 522
 
5.2%
온산119안전센터 508
 
5.1%
화암119안전센터 488
 
4.9%
병영119안전센터 486
 
4.9%
여천119안전센터 484
 
4.8%
Other values (15) 4174
41.7%

Length

2023-12-12T12:07:30.904719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
신정119안전센터 802
 
8.0%
언양119안전센터 768
 
7.7%
삼산119안전센터 604
 
6.0%
유곡119안전센터 596
 
6.0%
매곡119안전센터 568
 
5.7%
옥동119안전센터 522
 
5.2%
온산119안전센터 508
 
5.1%
화암119안전센터 488
 
4.9%
병영119안전센터 486
 
4.9%
여천119안전센터 484
 
4.8%
Other values (15) 4174
41.7%

도로명
Text

MISSING 

Distinct1415
Distinct (%)20.0%
Missing2936
Missing (%)29.4%
Memory size156.2 KiB
2023-12-12T12:07:31.200003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length4.6850227
Min length3

Characters and Unicode

Total characters33095
Distinct characters266
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

Unique431 ?
Unique (%)6.1%

Sample

1st row신정로126번길
2nd row원동2길
3rd row봉월로82번길
4th row명촌1길
5th row천곡남로
ValueCountFrequency (%)
방어진순환도로 110
 
1.6%
번영로107번길 98
 
1.4%
삼산로 74
 
1.0%
수암로 71
 
1.0%
중앙로 63
 
0.9%
번영로 61
 
0.9%
종가로 56
 
0.8%
돋질로 47
 
0.7%
월봉10길 47
 
0.7%
북부순환도로 46
 
0.7%
Other values (1405) 6391
90.5%
2023-12-12T12:07:31.709929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
길 4516
 
13.6%
로 4052
 
12.2%
번 1755
 
5.3%
1 1682
 
5.1%
2 877
 
2.6%
4 746
 
2.3%
산 711
 
2.1%
3 612
 
1.8%
7 553
 
1.7%
5 502
 
1.5%
Other values (256) 17089
51.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 26587
80.3%
Decimal Number 6508
 
19.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
길 4516
 
17.0%
로 4052
 
15.2%
번 1755
 
6.6%
산 711
 
2.7%
대 471
 
1.8%
동 429
 
1.6%
화 424
 
1.6%
수 406
 
1.5%
영 391
 
1.5%
신 386
 
1.5%
Other values (246) 13046
49.1%
Decimal Number
ValueCountFrequency (%)
1 1682
25.8%
2 877
13.5%
4 746
11.5%
3 612
 
9.4%
7 553
 
8.5%
5 502
 
7.7%
0 468
 
7.2%
6 388
 
6.0%
8 366
 
5.6%
9 314
 
4.8%

Most occurring scripts

ValueCountFrequency (%)
Hangul 26587
80.3%
Common 6508
 
19.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
길 4516
 
17.0%
로 4052
 
15.2%
번 1755
 
6.6%
산 711
 
2.7%
대 471
 
1.8%
동 429
 
1.6%
화 424
 
1.6%
수 406
 
1.5%
영 391
 
1.5%
신 386
 
1.5%
Other values (246) 13046
49.1%
Common
ValueCountFrequency (%)
1 1682
25.8%
2 877
13.5%
4 746
11.5%
3 612
 
9.4%
7 553
 
8.5%
5 502
 
7.7%
0 468
 
7.2%
6 388
 
6.0%
8 366
 
5.6%
9 314
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 26587
80.3%
ASCII 6508
 
19.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
길 4516
 
17.0%
로 4052
 
15.2%
번 1755
 
6.6%
산 711
 
2.7%
대 471
 
1.8%
동 429
 
1.6%
화 424
 
1.6%
수 406
 
1.5%
영 391
 
1.5%
신 386
 
1.5%
Other values (246) 13046
49.1%
ASCII
ValueCountFrequency (%)
1 1682
25.8%
2 877
13.5%
4 746
11.5%
3 612
 
9.4%
7 553
 
8.5%
5 502
 
7.7%
0 468
 
7.2%
6 388
 
6.0%
8 366
 
5.6%
9 314
 
4.8%

지하여부
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
지상
9738 
<NA>
 
262

Length

Max length4
Median length2
Mean length2.0524
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
지상 9738
97.4%
<NA> 262
 
2.6%

Length

2023-12-12T12:07:31.927830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:07:32.077655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
지상 9738
97.4%
na 262
 
2.6%

공동대응여부
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
6363 
예
3603 
아니오
 
34

Length

Max length4
Median length4
Mean length2.9157
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 6363
63.6%
예 3603
36.0%
아니오 34
 
0.3%

Length

2023-12-12T12:07:32.257755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:07:32.391524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 6363
63.6%
예 3603
36.0%
아니오 34
 
0.3%

고속도로사고여부
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
아니오
9999 
예
 
1

Length

Max length3
Median length3
Mean length2.9998
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
아니오 9999
> 99.9%
예 1
 
< 0.1%

Length

2023-12-12T12:07:32.584391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:07:32.796016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
아니오 9999
> 99.9%
예 1
 
< 0.1%

관제일련번호
Real number (ℝ)

Distinct124
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.2538
Minimum2
Maximum457
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T12:07:32.992097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q15
median8
Q312
95-th percentile31
Maximum457
Range455
Interquartile range (IQR)7

Descriptive statistics

Standard deviation17.051518
Coefficient of variation (CV)1.5151787
Kurtosis279.75114
Mean11.2538
Median Absolute Deviation (MAD)4
Skewness13.120922
Sum112538
Variance290.75426
MonotonicityNot monotonic
2023-12-12T12:07:33.231560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 1090
10.9%
4 1025
10.2%
5 894
 
8.9%
9 758
 
7.6%
8 726
 
7.3%
6 704
 
7.0%
7 703
 
7.0%
10 669
 
6.7%
11 543
 
5.4%
12 401
 
4.0%
Other values (114) 2487
24.9%
ValueCountFrequency (%)
2 263
 
2.6%
3 1090
10.9%
4 1025
10.2%
5 894
8.9%
6 704
7.0%
7 703
7.0%
8 726
7.3%
9 758
7.6%
10 669
6.7%
11 543
5.4%
ValueCountFrequency (%)
457 1
< 0.1%
456 1
< 0.1%
447 1
< 0.1%
433 1
< 0.1%
424 1
< 0.1%
408 1
< 0.1%
404 1
< 0.1%
188 1
< 0.1%
187 1
< 0.1%
184 1
< 0.1%

긴급구조상황명
Categorical

Distinct21
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
귀소보고
1898 
현장도착보고
1603 
상황종료
1530 
귀소완료보고
1295 
병원도착보고
850 
Other values (16)
2824 

Length

Max length8
Median length4
Mean length4.982
Min length2

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st row협조요청
2nd row귀소완료보고
3rd row귀소보고
4th row상황종료
5th row현장출발

Common Values

ValueCountFrequency (%)
귀소보고 1898
19.0%
현장도착보고 1603
16.0%
상황종료 1530
15.3%
귀소완료보고 1295
13.0%
병원도착보고 850
8.5%
현장출발 778
7.8%
출동보고 667
 
6.7%
긴급구조정보수정 508
 
5.1%
협조요청 279
 
2.8%
출동지령 190
 
1.9%
Other values (11) 402
 
4.0%

Length

2023-12-12T12:07:33.466072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
귀소보고 1898
19.0%
현장도착보고 1603
16.0%
상황종료 1530
15.3%
귀소완료보고 1295
13.0%
병원도착보고 850
8.5%
현장출발 778
7.8%
출동보고 667
 
6.7%
긴급구조정보수정 508
 
5.1%
협조요청 279
 
2.8%
출동지령 190
 
1.9%
Other values (11) 402
 
4.0%

관제진행일시
Date

Distinct132
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2020-01-01 00:00:00
Maximum2020-05-11 00:00:00
2023-12-12T12:07:33.667240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:07:33.889564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

관제진행일시(상세)
Date

Distinct9298
Distinct (%)93.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2023-12-12 00:00:02
Maximum2023-12-12 23:59:58
2023-12-12T12:07:34.099618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:07:34.315596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Sample

일련번호접수경로명접수일시접수일시(상세)타시도신고여부긴급구조우편번호긴급구조시도명긴급구조구군명긴급구조동명긴급구조리명긴급구조종별명긴급구조분류명긴급구조규모명상황종료일시상황종료일시(상세)관할서명서센터명도로명지하여부공동대응여부고속도로사고여부관제일련번호긴급구조상황명관제진행일시관제진행일시(상세)
90433927095기타2020-03-2217:53:57아니오34560울산남구신정동<NA>구급구급기타1차출동2020-03-2218:38:33남부소방서신정119안전센터신정로126번길지상예아니오2협조요청2020-03-2217:53:58
282093965411이동전화2020-02-0610:03:47아니오35062울산울주군온양읍망양리구급질병1차출동2020-02-0610:56:23온산소방서온산119안전센터원동2길지상<NA>아니오9귀소완료보고2020-02-0610:53:06
106953929094일반전화2020-03-2104:16:22예35015울산울주군언양읍송대리구조기타안전사고1차출동2020-03-2105:52:56중부소방서언양119안전센터<NA>지상<NA>아니오6귀소보고2020-03-2104:35:17
366253975684이동전화2020-05-1109:04:44아니오34560울산남구신정동<NA>화재기타화재1차출동2020-05-1109:39:09남부소방서신정119안전센터봉월로82번길지상<NA>아니오51상황종료2020-05-1109:39:09
293533966611이동전화2020-05-0122:00:18아니오34875울산북구진장동<NA>구급구급기타1차출동2020-05-0123:21:12북부소방서송정119안전센터명촌1길지상<NA>아니오8현장출발2020-05-0122:13:13
319523969671기타2020-05-0300:20:03아니오34467울산남구달동<NA>구급교통사고1차출동2020-05-0300:39:33남부소방서신정119안전센터<NA>지상예아니오5출동보고2020-05-0300:22:53
392873978910기타2020-05-1018:48:00아니오34880울산북구천곡동<NA>구급질병외1차출동2020-05-1019:05:30북부소방서농소119안전센터천곡남로지상예아니오4긴급구조정보수정2020-05-1018:48:23
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