Overview

Dataset statistics

Number of variables12
Number of observations2265
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory221.3 KiB
Average record size in memory100.1 B

Variable types

Text6
Numeric2
Categorical2
DateTime2

Dataset

Description부산광역시_재난소통협업시스템재난상황정보_20190928
Author부산광역시
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15083554

Alerts

사망 is highly imbalanced (73.7%)Imbalance
실종 is highly imbalanced (96.7%)Imbalance
인명피해 has 1598 (70.6%) zerosZeros
부상 has 1437 (63.4%) zerosZeros

Reproduction

Analysis started2024-04-21 08:30:06.748597
Analysis finished2024-04-21 08:30:11.452911
Duration4.7 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

재난상황명
Text

Distinct841
Distinct (%)37.1%
Missing0
Missing (%)0.0%
Memory size17.8 KiB
2024-04-21T17:30:12.502645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length23
Mean length5.8039735
Min length2

Characters and Unicode

Total characters13146
Distinct characters373
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique646 ?
Unique (%)28.5%

Sample

1st row교통사고
2nd row산악사고
3rd row컨테이너 화재
4th row음식점 화재
5th row강서구 공장 화재
ValueCountFrequency (%)
발생 299
 
8.7%
교통사고 274
 
8.0%
화재 238
 
6.9%
공장화재 115
 
3.3%
구조 106
 
3.1%
주택화재 89
 
2.6%
안전사고 79
 
2.3%
해양오염 72
 
2.1%
사고 57
 
1.7%
익수자 56
 
1.6%
Other values (762) 2061
59.8%
2024-04-21T17:30:14.190821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1215
 
9.2%
화 923
 
7.0%
재 916
 
7.0%
사 842
 
6.4%
고 804
 
6.1%
발 423
 
3.2%
생 367
 
2.8%
교 306
 
2.3%
통 283
 
2.2%
장 271
 
2.1%
Other values (363) 6796
51.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11764
89.5%
Space Separator 1215
 
9.2%
Close Punctuation 46
 
0.3%
Open Punctuation 46
 
0.3%
Uppercase Letter 41
 
0.3%
Decimal Number 17
 
0.1%
Other Punctuation 15
 
0.1%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
화 923
 
7.8%
재 916
 
7.8%
사 842
 
7.2%
고 804
 
6.8%
발 423
 
3.6%
생 367
 
3.1%
교 306
 
2.6%
통 283
 
2.4%
장 271
 
2.3%
자 230
 
2.0%
Other values (340) 6399
54.4%
Uppercase Letter
ValueCountFrequency (%)
E 16
39.0%
V 15
36.6%
S 3
 
7.3%
F 1
 
2.4%
T 1
 
2.4%
I 1
 
2.4%
A 1
 
2.4%
C 1
 
2.4%
P 1
 
2.4%
L 1
 
2.4%
Decimal Number
ValueCountFrequency (%)
0 4
23.5%
1 4
23.5%
2 3
17.6%
4 2
11.8%
5 1
 
5.9%
8 1
 
5.9%
7 1
 
5.9%
3 1
 
5.9%
Space Separator
ValueCountFrequency (%)
1215
100.0%
Close Punctuation
ValueCountFrequency (%)
) 46
100.0%
Open Punctuation
ValueCountFrequency (%)
( 46
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 15
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11764
89.5%
Common 1341
 
10.2%
Latin 41
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
화 923
 
7.8%
재 916
 
7.8%
사 842
 
7.2%
고 804
 
6.8%
발 423
 
3.6%
생 367
 
3.1%
교 306
 
2.6%
통 283
 
2.4%
장 271
 
2.3%
자 230
 
2.0%
Other values (340) 6399
54.4%
Common
ValueCountFrequency (%)
1215
90.6%
) 46
 
3.4%
( 46
 
3.4%
/ 15
 
1.1%
0 4
 
0.3%
1 4
 
0.3%
2 3
 
0.2%
4 2
 
0.1%
- 2
 
0.1%
5 1
 
0.1%
Other values (3) 3
 
0.2%
Latin
ValueCountFrequency (%)
E 16
39.0%
V 15
36.6%
S 3
 
7.3%
F 1
 
2.4%
T 1
 
2.4%
I 1
 
2.4%
A 1
 
2.4%
C 1
 
2.4%
P 1
 
2.4%
L 1
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11764
89.5%
ASCII 1382
 
10.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1215
87.9%
) 46
 
3.3%
( 46
 
3.3%
E 16
 
1.2%
/ 15
 
1.1%
V 15
 
1.1%
0 4
 
0.3%
1 4
 
0.3%
2 3
 
0.2%
S 3
 
0.2%
Other values (13) 15
 
1.1%
Hangul
ValueCountFrequency (%)
화 923
 
7.8%
재 916
 
7.8%
사 842
 
7.2%
고 804
 
6.8%
발 423
 
3.6%
생 367
 
3.1%
교 306
 
2.6%
통 283
 
2.4%
장 271
 
2.3%
자 230
 
2.0%
Other values (340) 6399
54.4%

발생일
Text

Distinct964
Distinct (%)42.6%
Missing0
Missing (%)0.0%
Memory size17.8 KiB
2024-04-21T17:30:15.195165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters49830
Distinct characters15
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique310 ?
Unique (%)13.7%

Sample

1st row2018-12-20 오전 12:00:00
2nd row2018-12-23 오전 12:00:00
3rd row2018-12-29 오전 12:00:00
4th row2018-12-29 오전 12:00:00
5th row2018-12-30 오전 12:00:00
ValueCountFrequency (%)
12:00:00 2265
33.3%
오전 2265
33.3%
2018-12-20 8
 
0.1%
2016-10-05 8
 
0.1%
2017-09-11 7
 
0.1%
2017-04-08 7
 
0.1%
2016-07-01 7
 
0.1%
2018-11-10 6
 
0.1%
2017-08-06 6
 
0.1%
2018-06-01 6
 
0.1%
Other values (956) 2210
32.5%
2024-04-21T17:30:16.576046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 14153
28.4%
1 6504
13.1%
2 5917
11.9%
- 4530
 
9.1%
4530
 
9.1%
: 4530
 
9.1%
오 2265
 
4.5%
전 2265
 
4.5%
7 1108
 
2.2%
6 1071
 
2.1%
Other values (5) 2957
 
5.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 31710
63.6%
Dash Punctuation 4530
 
9.1%
Space Separator 4530
 
9.1%
Other Punctuation 4530
 
9.1%
Other Letter 4530
 
9.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 14153
44.6%
1 6504
20.5%
2 5917
18.7%
7 1108
 
3.5%
6 1071
 
3.4%
8 967
 
3.0%
9 617
 
1.9%
3 564
 
1.8%
4 421
 
1.3%
5 388
 
1.2%
Other Letter
ValueCountFrequency (%)
오 2265
50.0%
전 2265
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 4530
100.0%
Space Separator
ValueCountFrequency (%)
4530
100.0%
Other Punctuation
ValueCountFrequency (%)
: 4530
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 45300
90.9%
Hangul 4530
 
9.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 14153
31.2%
1 6504
14.4%
2 5917
13.1%
- 4530
 
10.0%
4530
 
10.0%
: 4530
 
10.0%
7 1108
 
2.4%
6 1071
 
2.4%
8 967
 
2.1%
9 617
 
1.4%
Other values (3) 1373
 
3.0%
Hangul
ValueCountFrequency (%)
오 2265
50.0%
전 2265
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 45300
90.9%
Hangul 4530
 
9.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 14153
31.2%
1 6504
14.4%
2 5917
13.1%
- 4530
 
10.0%
4530
 
10.0%
: 4530
 
10.0%
7 1108
 
2.4%
6 1071
 
2.4%
8 967
 
2.1%
9 617
 
1.4%
Other values (3) 1373
 
3.0%
Hangul
ValueCountFrequency (%)
오 2265
50.0%
전 2265
50.0%

발생장소
Text

Distinct1798
Distinct (%)79.4%
Missing0
Missing (%)0.0%
Memory size17.8 KiB
2024-04-21T17:30:17.781034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length29
Mean length11.33819
Min length2

Characters and Unicode

Total characters25681
Distinct characters544
Distinct categories13 ?
Distinct scripts3 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1665 ?
Unique (%)73.5%

Sample

1st row동래구 시실로(명장동)「농심가할인마트」부근
2nd row용호동
3rd row기장읍
4th row일광면
5th row대저동317-23 신흥식품
ValueCountFrequency (%)
해상 160
 
3.1%
앞 152
 
2.9%
부근 58
 
1.1%
인근 52
 
1.0%
기장읍 33
 
0.6%
다대동 32
 
0.6%
감천항 30
 
0.6%
우동 29
 
0.6%
일광면 28
 
0.5%
장안읍 24
 
0.5%
Other values (2807) 4587
88.5%
2024-04-21T17:30:19.436526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3056
 
11.9%
동 1452
 
5.7%
로 856
 
3.3%
1 801
 
3.1%
대 645
 
2.5%
2 538
 
2.1%
( 489
 
1.9%
) 486
 
1.9%
3 408
 
1.6%
0 361
 
1.4%
Other values (534) 16589
64.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 16625
64.7%
Decimal Number 3708
 
14.4%
Space Separator 3056
 
11.9%
Open Punctuation 649
 
2.5%
Close Punctuation 642
 
2.5%
Dash Punctuation 316
 
1.2%
Other Punctuation 279
 
1.1%
Other Symbol 185
 
0.7%
Uppercase Letter 119
 
0.5%
Initial Punctuation 39
 
0.2%
Other values (3) 63
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 1452
 
8.7%
로 856
 
5.1%
대 645
 
3.9%
해 357
 
2.1%
부 347
 
2.1%
산 344
 
2.1%
장 328
 
2.0%
구 320
 
1.9%
번 246
 
1.5%
상 245
 
1.5%
Other values (466) 11485
69.1%
Uppercase Letter
ValueCountFrequency (%)
N 21
17.6%
S 14
11.8%
A 9
 
7.6%
K 7
 
5.9%
C 7
 
5.9%
T 7
 
5.9%
L 7
 
5.9%
E 7
 
5.9%
P 6
 
5.0%
G 6
 
5.0%
Other values (12) 28
23.5%
Lowercase Letter
ValueCountFrequency (%)
m 8
34.8%
k 3
 
13.0%
i 2
 
8.7%
y 1
 
4.3%
s 1
 
4.3%
z 1
 
4.3%
n 1
 
4.3%
j 1
 
4.3%
c 1
 
4.3%
x 1
 
4.3%
Other values (3) 3
 
13.0%
Decimal Number
ValueCountFrequency (%)
1 801
21.6%
2 538
14.5%
3 408
11.0%
0 361
9.7%
4 327
8.8%
5 323
8.7%
6 274
 
7.4%
7 262
 
7.1%
8 221
 
6.0%
9 193
 
5.2%
Other Punctuation
ValueCountFrequency (%)
* 105
37.6%
/ 58
20.8%
, 57
20.4%
. 19
 
6.8%
' 18
 
6.5%
@ 13
 
4.7%
" 9
 
3.2%
Open Punctuation
ValueCountFrequency (%)
( 489
75.3%
「 159
 
24.5%
[ 1
 
0.2%
Close Punctuation
ValueCountFrequency (%)
) 486
75.7%
」 155
 
24.1%
] 1
 
0.2%
Other Symbol
ValueCountFrequency (%)
○ 183
98.9%
㈜ 1
 
0.5%
㎡ 1
 
0.5%
Initial Punctuation
ValueCountFrequency (%)
“ 35
89.7%
‘ 4
 
10.3%
Final Punctuation
ValueCountFrequency (%)
” 33
91.7%
’ 3
 
8.3%
Space Separator
ValueCountFrequency (%)
3056
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 316
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 16626
64.7%
Common 8913
34.7%
Latin 142
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 1452
 
8.7%
로 856
 
5.1%
대 645
 
3.9%
해 357
 
2.1%
부 347
 
2.1%
산 344
 
2.1%
장 328
 
2.0%
구 320
 
1.9%
번 246
 
1.5%
상 245
 
1.5%
Other values (467) 11486
69.1%
Latin
ValueCountFrequency (%)
N 21
14.8%
S 14
 
9.9%
A 9
 
6.3%
m 8
 
5.6%
K 7
 
4.9%
C 7
 
4.9%
T 7
 
4.9%
L 7
 
4.9%
E 7
 
4.9%
P 6
 
4.2%
Other values (25) 49
34.5%
Common
ValueCountFrequency (%)
3056
34.3%
1 801
 
9.0%
2 538
 
6.0%
( 489
 
5.5%
) 486
 
5.5%
3 408
 
4.6%
0 361
 
4.1%
4 327
 
3.7%
5 323
 
3.6%
- 316
 
3.5%
Other values (22) 1808
20.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 16623
64.7%
ASCII 8482
33.0%
None 315
 
1.2%
Geometric Shapes 183
 
0.7%
Punctuation 75
 
0.3%
Compat Jamo 2
 
< 0.1%
CJK Compat 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3056
36.0%
1 801
 
9.4%
2 538
 
6.3%
( 489
 
5.8%
) 486
 
5.7%
3 408
 
4.8%
0 361
 
4.3%
4 327
 
3.9%
5 323
 
3.8%
- 316
 
3.7%
Other values (49) 1377
16.2%
Hangul
ValueCountFrequency (%)
동 1452
 
8.7%
로 856
 
5.1%
대 645
 
3.9%
해 357
 
2.1%
부 347
 
2.1%
산 344
 
2.1%
장 328
 
2.0%
구 320
 
1.9%
번 246
 
1.5%
상 245
 
1.5%
Other values (464) 11483
69.1%
Geometric Shapes
ValueCountFrequency (%)
○ 183
100.0%
None
ValueCountFrequency (%)
「 159
50.5%
」 155
49.2%
㈜ 1
 
0.3%
Punctuation
ValueCountFrequency (%)
“ 35
46.7%
” 33
44.0%
‘ 4
 
5.3%
’ 3
 
4.0%
Compat Jamo
ValueCountFrequency (%)
ㅇ 1
50.0%
ㄹ 1
50.0%
CJK Compat
ValueCountFrequency (%)
㎡ 1
100.0%

인명피해
Real number (ℝ)

ZEROS 

Distinct15
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.56247241
Minimum0
Maximum27
Zeros1598
Zeros (%)70.6%
Negative0
Negative (%)0.0%
Memory size20.0 KiB
2024-04-21T17:30:19.643961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum27
Range27
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.5022672
Coefficient of variation (CV)2.6708282
Kurtosis87.309731
Mean0.56247241
Median Absolute Deviation (MAD)0
Skewness7.215256
Sum1274
Variance2.2568066
MonotonicityNot monotonic
2024-04-21T17:30:19.838891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 1598
70.6%
1 466
 
20.6%
2 84
 
3.7%
3 34
 
1.5%
4 27
 
1.2%
5 20
 
0.9%
6 11
 
0.5%
9 7
 
0.3%
7 5
 
0.2%
8 4
 
0.2%
Other values (5) 9
 
0.4%
ValueCountFrequency (%)
0 1598
70.6%
1 466
 
20.6%
2 84
 
3.7%
3 34
 
1.5%
4 27
 
1.2%
5 20
 
0.9%
6 11
 
0.5%
7 5
 
0.2%
8 4
 
0.2%
9 7
 
0.3%
ValueCountFrequency (%)
27 1
 
< 0.1%
25 1
 
< 0.1%
14 1
 
< 0.1%
12 2
 
0.1%
11 4
 
0.2%
9 7
 
0.3%
8 4
 
0.2%
7 5
 
0.2%
6 11
0.5%
5 20
0.9%

사망
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size17.8 KiB
0
1970 
1
277 
2
 
12
3
 
3
4
 
3

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 1970
87.0%
1 277
 
12.2%
2 12
 
0.5%
3 3
 
0.1%
4 3
 
0.1%

Length

2024-04-21T17:30:20.037389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T17:30:20.208916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1970
87.0%
1 277
 
12.2%
2 12
 
0.5%
3 3
 
0.1%
4 3
 
0.1%

실종
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size17.8 KiB
0
2249 
1
 
14
3
 
1
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
0 2249
99.3%
1 14
 
0.6%
3 1
 
< 0.1%
2 1
 
< 0.1%

Length

2024-04-21T17:30:20.389909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T17:30:20.556996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 2249
99.3%
1 14
 
0.6%
3 1
 
< 0.1%
2 1
 
< 0.1%

부상
Real number (ℝ)

ZEROS 

Distinct20
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.84591611
Minimum0
Maximum40
Zeros1437
Zeros (%)63.4%
Negative0
Negative (%)0.0%
Memory size20.0 KiB
2024-04-21T17:30:20.725014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile4
Maximum40
Range40
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.0954714
Coefficient of variation (CV)2.4771622
Kurtosis85.545383
Mean0.84591611
Median Absolute Deviation (MAD)0
Skewness7.0703656
Sum1916
Variance4.3910003
MonotonicityNot monotonic
2024-04-21T17:30:20.938273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 1437
63.4%
1 501
 
22.1%
2 126
 
5.6%
3 57
 
2.5%
4 43
 
1.9%
5 34
 
1.5%
6 21
 
0.9%
7 10
 
0.4%
8 8
 
0.4%
9 7
 
0.3%
Other values (10) 21
 
0.9%
ValueCountFrequency (%)
0 1437
63.4%
1 501
 
22.1%
2 126
 
5.6%
3 57
 
2.5%
4 43
 
1.9%
5 34
 
1.5%
6 21
 
0.9%
7 10
 
0.4%
8 8
 
0.4%
9 7
 
0.3%
ValueCountFrequency (%)
40 1
 
< 0.1%
27 1
 
< 0.1%
25 1
 
< 0.1%
23 1
 
< 0.1%
17 1
 
< 0.1%
14 5
0.2%
13 1
 
< 0.1%
12 4
0.2%
11 4
0.2%
10 2
 
0.1%

재산피해
Text

Distinct540
Distinct (%)23.8%
Missing0
Missing (%)0.0%
Memory size17.8 KiB
2024-04-21T17:30:21.955568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length80
Median length4
Mean length5.7695364
Min length1

Characters and Unicode

Total characters13068
Distinct characters262
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique497 ?
Unique (%)21.9%

Sample

1st row해당없음
2nd row해당없음
3rd row1960000
4th row13193000
5th row8320000
ValueCountFrequency (%)
해당없음 1619
61.2%
없음 32
 
1.2%
소실 26
 
1.0%
동산 19
 
0.7%
조사중 14
 
0.5%
파손 13
 
0.5%
및 12
 
0.5%
11
 
0.4%
등 9
 
0.3%
유막 8
 
0.3%
Other values (737) 882
33.3%
2024-04-21T17:30:23.252958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2343
17.9%
음 1665
12.7%
없 1659
12.7%
해 1629
12.5%
당 1620
12.4%
394
 
3.0%
1 366
 
2.8%
, 317
 
2.4%
2 268
 
2.1%
5 266
 
2.0%
Other values (252) 2541
19.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7730
59.2%
Decimal Number 4323
33.1%
Space Separator 394
 
3.0%
Other Punctuation 365
 
2.8%
Open Punctuation 83
 
0.6%
Close Punctuation 80
 
0.6%
Lowercase Letter 45
 
0.3%
Other Symbol 16
 
0.1%
Uppercase Letter 15
 
0.1%
Math Symbol 14
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
음 1665
21.5%
없 1659
21.5%
해 1629
21.1%
당 1620
21.0%
산 83
 
1.1%
동 67
 
0.9%
소 64
 
0.8%
부 49
 
0.6%
실 38
 
0.5%
파 28
 
0.4%
Other values (204) 828
10.7%
Decimal Number
ValueCountFrequency (%)
0 2343
54.2%
1 366
 
8.5%
2 268
 
6.2%
5 266
 
6.2%
3 212
 
4.9%
4 204
 
4.7%
9 189
 
4.4%
8 168
 
3.9%
7 157
 
3.6%
6 150
 
3.5%
Lowercase Letter
ValueCountFrequency (%)
m 25
55.6%
a 6
 
13.3%
h 6
 
13.3%
s 2
 
4.4%
j 2
 
4.4%
n 1
 
2.2%
d 1
 
2.2%
ℓ 1
 
2.2%
c 1
 
2.2%
Uppercase Letter
ValueCountFrequency (%)
M 5
33.3%
U 2
 
13.3%
S 2
 
13.3%
F 1
 
6.7%
N 1
 
6.7%
L 1
 
6.7%
E 1
 
6.7%
B 1
 
6.7%
H 1
 
6.7%
Other Punctuation
ValueCountFrequency (%)
, 317
86.8%
: 18
 
4.9%
* 12
 
3.3%
. 8
 
2.2%
/ 7
 
1.9%
· 2
 
0.5%
% 1
 
0.3%
Math Symbol
ValueCountFrequency (%)
⇒ 6
42.9%
= 3
21.4%
→ 2
 
14.3%
~ 1
 
7.1%
▷ 1
 
7.1%
× 1
 
7.1%
Open Punctuation
ValueCountFrequency (%)
( 82
98.8%
[ 1
 
1.2%
Close Punctuation
ValueCountFrequency (%)
) 79
98.8%
] 1
 
1.2%
Space Separator
ValueCountFrequency (%)
394
100.0%
Other Symbol
ValueCountFrequency (%)
㎡ 16
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7730
59.2%
Common 5279
40.4%
Latin 59
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
음 1665
21.5%
없 1659
21.5%
해 1629
21.1%
당 1620
21.0%
산 83
 
1.1%
동 67
 
0.9%
소 64
 
0.8%
부 49
 
0.6%
실 38
 
0.5%
파 28
 
0.4%
Other values (204) 828
10.7%
Common
ValueCountFrequency (%)
0 2343
44.4%
394
 
7.5%
1 366
 
6.9%
, 317
 
6.0%
2 268
 
5.1%
5 266
 
5.0%
3 212
 
4.0%
4 204
 
3.9%
9 189
 
3.6%
8 168
 
3.2%
Other values (21) 552
 
10.5%
Latin
ValueCountFrequency (%)
m 25
42.4%
a 6
 
10.2%
h 6
 
10.2%
M 5
 
8.5%
s 2
 
3.4%
j 2
 
3.4%
U 2
 
3.4%
S 2
 
3.4%
F 1
 
1.7%
N 1
 
1.7%
Other values (7) 7
 
11.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7730
59.2%
ASCII 5309
40.6%
CJK Compat 16
 
0.1%
Arrows 8
 
0.1%
None 3
 
< 0.1%
Geometric Shapes 1
 
< 0.1%
Letterlike Symbols 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2343
44.1%
394
 
7.4%
1 366
 
6.9%
, 317
 
6.0%
2 268
 
5.0%
5 266
 
5.0%
3 212
 
4.0%
4 204
 
3.8%
9 189
 
3.6%
8 168
 
3.2%
Other values (31) 582
 
11.0%
Hangul
ValueCountFrequency (%)
음 1665
21.5%
없 1659
21.5%
해 1629
21.1%
당 1620
21.0%
산 83
 
1.1%
동 67
 
0.9%
소 64
 
0.8%
부 49
 
0.6%
실 38
 
0.5%
파 28
 
0.4%
Other values (204) 828
10.7%
CJK Compat
ValueCountFrequency (%)
㎡ 16
100.0%
Arrows
ValueCountFrequency (%)
⇒ 6
75.0%
→ 2
 
25.0%
None
ValueCountFrequency (%)
· 2
66.7%
× 1
33.3%
Geometric Shapes
ValueCountFrequency (%)
▷ 1
100.0%
Letterlike Symbols
ValueCountFrequency (%)
ℓ 1
100.0%

그밖의피해
Text

Distinct140
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size17.8 KiB
2024-04-21T17:30:24.544603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length70
Median length4
Mean length5.0326711
Min length2

Characters and Unicode

Total characters11399
Distinct characters299
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique136 ?
Unique (%)6.0%

Sample

1st row해당없음
2nd row해당없음
3rd row해당없음
4th row해당없음
5th row해당없음
ValueCountFrequency (%)
해당없음 2119
76.3%
소실 45
 
1.6%
32
 
1.2%
등 28
 
1.0%
및 18
 
0.6%
인명피해 12
 
0.4%
없음 12
 
0.4%
1개소 8
 
0.3%
유막 7
 
0.3%
그을음 6
 
0.2%
Other values (392) 491
 
17.7%
2024-04-21T17:30:26.117311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
해 2154
18.9%
음 2153
18.9%
없 2142
18.8%
당 2119
18.6%
524
 
4.6%
0 148
 
1.3%
, 99
 
0.9%
1 95
 
0.8%
소 85
 
0.7%
실 58
 
0.5%
Other values (289) 1822
16.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9941
87.2%
Space Separator 524
 
4.6%
Decimal Number 499
 
4.4%
Other Punctuation 180
 
1.6%
Lowercase Letter 66
 
0.6%
Close Punctuation 51
 
0.4%
Open Punctuation 51
 
0.4%
Other Symbol 42
 
0.4%
Uppercase Letter 28
 
0.2%
Math Symbol 13
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
해 2154
21.7%
음 2153
21.7%
없 2142
21.5%
당 2119
21.3%
소 85
 
0.9%
실 58
 
0.6%
명 49
 
0.5%
유 32
 
0.3%
피 31
 
0.3%
기 30
 
0.3%
Other values (250) 1088
10.9%
Decimal Number
ValueCountFrequency (%)
0 148
29.7%
1 95
19.0%
2 55
 
11.0%
5 48
 
9.6%
3 44
 
8.8%
4 33
 
6.6%
6 25
 
5.0%
7 20
 
4.0%
8 18
 
3.6%
9 13
 
2.6%
Uppercase Letter
ValueCountFrequency (%)
M 16
57.1%
C 6
 
21.4%
X 1
 
3.6%
S 1
 
3.6%
P 1
 
3.6%
V 1
 
3.6%
A 1
 
3.6%
E 1
 
3.6%
Lowercase Letter
ValueCountFrequency (%)
m 47
71.2%
h 5
 
7.6%
a 5
 
7.6%
x 4
 
6.1%
c 3
 
4.5%
v 1
 
1.5%
t 1
 
1.5%
Other Punctuation
ValueCountFrequency (%)
, 99
55.0%
: 33
 
18.3%
* 24
 
13.3%
. 16
 
8.9%
· 7
 
3.9%
/ 1
 
0.6%
Math Symbol
ValueCountFrequency (%)
→ 6
46.2%
× 5
38.5%
~ 2
 
15.4%
Space Separator
ValueCountFrequency (%)
524
100.0%
Close Punctuation
ValueCountFrequency (%)
) 51
100.0%
Open Punctuation
ValueCountFrequency (%)
( 51
100.0%
Other Symbol
ValueCountFrequency (%)
㎡ 42
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9941
87.2%
Common 1364
 
12.0%
Latin 94
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
해 2154
21.7%
음 2153
21.7%
없 2142
21.5%
당 2119
21.3%
소 85
 
0.9%
실 58
 
0.6%
명 49
 
0.5%
유 32
 
0.3%
피 31
 
0.3%
기 30
 
0.3%
Other values (250) 1088
10.9%
Common
ValueCountFrequency (%)
524
38.4%
0 148
 
10.9%
, 99
 
7.3%
1 95
 
7.0%
2 55
 
4.0%
) 51
 
3.7%
( 51
 
3.7%
5 48
 
3.5%
3 44
 
3.2%
㎡ 42
 
3.1%
Other values (14) 207
 
15.2%
Latin
ValueCountFrequency (%)
m 47
50.0%
M 16
 
17.0%
C 6
 
6.4%
h 5
 
5.3%
a 5
 
5.3%
x 4
 
4.3%
c 3
 
3.2%
X 1
 
1.1%
v 1
 
1.1%
t 1
 
1.1%
Other values (5) 5
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9941
87.2%
ASCII 1398
 
12.3%
CJK Compat 42
 
0.4%
None 12
 
0.1%
Arrows 6
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
해 2154
21.7%
음 2153
21.7%
없 2142
21.5%
당 2119
21.3%
소 85
 
0.9%
실 58
 
0.6%
명 49
 
0.5%
유 32
 
0.3%
피 31
 
0.3%
기 30
 
0.3%
Other values (250) 1088
10.9%
ASCII
ValueCountFrequency (%)
524
37.5%
0 148
 
10.6%
, 99
 
7.1%
1 95
 
6.8%
2 55
 
3.9%
) 51
 
3.6%
( 51
 
3.6%
5 48
 
3.4%
m 47
 
3.4%
3 44
 
3.1%
Other values (25) 236
16.9%
CJK Compat
ValueCountFrequency (%)
㎡ 42
100.0%
None
ValueCountFrequency (%)
· 7
58.3%
× 5
41.7%
Arrows
ValueCountFrequency (%)
→ 6
100.0%

조치사항
Text

Distinct1670
Distinct (%)73.7%
Missing0
Missing (%)0.0%
Memory size17.8 KiB
2024-04-21T17:30:27.316535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length224
Median length195
Mean length31.704636
Min length2

Characters and Unicode

Total characters71811
Distinct characters523
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1630 ?
Unique (%)72.0%

Sample

1st row해당없음
2nd row구조후 병원이송
3rd row소방출동 완진
4th row소방출동 완진
5th row소방출동 완진
ValueCountFrequency (%)
해당없음 480
 
3.7%
완진 405
 
3.1%
병원이송 293
 
2.2%
및 251
 
1.9%
213
 
1.6%
인원 188
 
1.4%
이송 180
 
1.4%
장비 166
 
1.3%
현장 157
 
1.2%
부상자 141
 
1.1%
Other values (5479) 10610
81.1%
2024-04-21T17:30:28.783499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
11082
 
15.4%
1 4538
 
6.3%
: 3281
 
4.6%
0 2664
 
3.7%
2 2279
 
3.2%
, 1899
 
2.6%
3 1828
 
2.5%
5 1657
 
2.3%
4 1343
 
1.9%
구 1181
 
1.6%
Other values (513) 40059
55.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 34951
48.7%
Decimal Number 17379
24.2%
Space Separator 11082
 
15.4%
Other Punctuation 5813
 
8.1%
Close Punctuation 1032
 
1.4%
Open Punctuation 1028
 
1.4%
Dash Punctuation 226
 
0.3%
Uppercase Letter 180
 
0.3%
Math Symbol 69
 
0.1%
Lowercase Letter 46
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 1181
 
3.4%
원 1156
 
3.3%
대 1024
 
2.9%
장 843
 
2.4%
이 819
 
2.3%
조 792
 
2.3%
해 781
 
2.2%
완 772
 
2.2%
명 751
 
2.1%
수 735
 
2.1%
Other values (451) 26097
74.7%
Uppercase Letter
ValueCountFrequency (%)
P 86
47.8%
C 26
 
14.4%
R 24
 
13.3%
S 13
 
7.2%
T 8
 
4.4%
V 7
 
3.9%
E 4
 
2.2%
A 2
 
1.1%
I 2
 
1.1%
G 2
 
1.1%
Other values (6) 6
 
3.3%
Lowercase Letter
ValueCountFrequency (%)
m 18
39.1%
k 6
 
13.0%
p 4
 
8.7%
g 4
 
8.7%
c 3
 
6.5%
a 2
 
4.3%
h 2
 
4.3%
l 1
 
2.2%
r 1
 
2.2%
v 1
 
2.2%
Other values (4) 4
 
8.7%
Decimal Number
ValueCountFrequency (%)
1 4538
26.1%
0 2664
15.3%
2 2279
13.1%
3 1828
10.5%
5 1657
 
9.5%
4 1343
 
7.7%
6 829
 
4.8%
7 762
 
4.4%
8 745
 
4.3%
9 734
 
4.2%
Other Punctuation
ValueCountFrequency (%)
: 3281
56.4%
, 1899
32.7%
· 398
 
6.8%
. 75
 
1.3%
; 74
 
1.3%
" 48
 
0.8%
/ 32
 
0.6%
* 4
 
0.1%
! 1
 
< 0.1%
' 1
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
~ 64
92.8%
→ 2
 
2.9%
× 2
 
2.9%
> 1
 
1.4%
Close Punctuation
ValueCountFrequency (%)
) 1031
99.9%
] 1
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 1027
99.9%
[ 1
 
0.1%
Other Symbol
ValueCountFrequency (%)
○ 3
60.0%
㎡ 2
40.0%
Space Separator
ValueCountFrequency (%)
11082
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 226
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 36634
51.0%
Hangul 34951
48.7%
Latin 226
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1181
 
3.4%
원 1156
 
3.3%
대 1024
 
2.9%
장 843
 
2.4%
이 819
 
2.3%
조 792
 
2.3%
해 781
 
2.2%
완 772
 
2.2%
명 751
 
2.1%
수 735
 
2.1%
Other values (451) 26097
74.7%
Common
ValueCountFrequency (%)
11082
30.3%
1 4538
12.4%
: 3281
 
9.0%
0 2664
 
7.3%
2 2279
 
6.2%
, 1899
 
5.2%
3 1828
 
5.0%
5 1657
 
4.5%
4 1343
 
3.7%
) 1031
 
2.8%
Other values (22) 5032
13.7%
Latin
ValueCountFrequency (%)
P 86
38.1%
C 26
 
11.5%
R 24
 
10.6%
m 18
 
8.0%
S 13
 
5.8%
T 8
 
3.5%
V 7
 
3.1%
k 6
 
2.7%
p 4
 
1.8%
E 4
 
1.8%
Other values (20) 30
 
13.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 36453
50.8%
Hangul 34890
48.6%
None 400
 
0.6%
Compat Jamo 61
 
0.1%
Geometric Shapes 3
 
< 0.1%
Arrows 2
 
< 0.1%
CJK Compat 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
11082
30.4%
1 4538
12.4%
: 3281
 
9.0%
0 2664
 
7.3%
2 2279
 
6.3%
, 1899
 
5.2%
3 1828
 
5.0%
5 1657
 
4.5%
4 1343
 
3.7%
) 1031
 
2.8%
Other values (47) 4851
13.3%
Hangul
ValueCountFrequency (%)
구 1181
 
3.4%
원 1156
 
3.3%
대 1024
 
2.9%
장 843
 
2.4%
이 819
 
2.3%
조 792
 
2.3%
해 781
 
2.2%
완 772
 
2.2%
명 751
 
2.2%
수 735
 
2.1%
Other values (449) 26036
74.6%
None
ValueCountFrequency (%)
· 398
99.5%
× 2
 
0.5%
Compat Jamo
ValueCountFrequency (%)
ㅇ 59
96.7%
ㅁ 2
 
3.3%
Geometric Shapes
ValueCountFrequency (%)
○ 3
100.0%
Arrows
ValueCountFrequency (%)
→ 2
100.0%
CJK Compat
ValueCountFrequency (%)
㎡ 2
100.0%

등록시간
Date

Distinct1699
Distinct (%)75.0%
Missing0
Missing (%)0.0%
Memory size17.8 KiB
Minimum2024-04-21 00:00:00
Maximum2024-04-21 00:59:58
2024-04-21T17:30:29.360170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T17:30:29.802195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

수정시간
Date

Distinct1708
Distinct (%)75.4%
Missing0
Missing (%)0.0%
Memory size17.8 KiB
Minimum2024-04-21 00:00:00
Maximum2024-04-21 00:59:58
2024-04-21T17:30:30.213007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T17:30:30.654860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Interactions

2024-04-21T17:30:10.054642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T17:30:09.534021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T17:30:10.319751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T17:30:09.783264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-21T17:30:30.929115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
인명피해사망실종부상
인명피해1.0000.1370.0550.773
사망0.1371.0000.0000.133
실종0.0550.0001.0000.000
부상0.7730.1330.0001.000
2024-04-21T17:30:31.172344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
실종사망
실종1.0000.000
사망0.0001.000
2024-04-21T17:30:31.409234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
인명피해부상사망실종
인명피해1.0000.4980.0880.038
부상0.4981.0000.1110.000
사망0.0880.1111.0000.000
실종0.0380.0000.0001.000

Missing values

2024-04-21T17:30:10.713141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T17:30:11.236870image/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

재난상황명발생일발생장소인명피해사망실종부상재산피해그밖의피해조치사항등록시간수정시간
0교통사고2018-12-20 오전 12:00:00동래구 시실로(명장동)「농심가할인마트」부근0004해당없음해당없음해당없음00:44:5500:44:55
1산악사고2018-12-23 오전 12:00:00용호동1001해당없음해당없음구조후 병원이송00:51:4700:51:47
2컨테이너 화재2018-12-29 오전 12:00:00기장읍00001960000해당없음소방출동 완진00:20:2000:20:20
3음식점 화재2018-12-29 오전 12:00:00일광면000013193000해당없음소방출동 완진00:21:5400:21:54
4강서구 공장 화재2018-12-30 오전 12:00:00대저동317-23 신흥식품00008320000해당없음소방출동 완진00:55:3000:55:30
5상가주택화재2018-12-31 오전 12:00:00연제구 연산동 1181-14번지(배산역 1번 출구 부근, 상가주택)0100해당없음해당없음해당없음00:18:4100:18:41
6영도구 선박화재2019-01-02 오전 12:00:00살베지부두0000해당없음해당없음해경출동 화재진압 완진00:21:1300:21:13
7사하구 어선사고2019-01-03 오전 12:00:00가덕도 동방 3.2해리0000대성호(어선) 파공 및 전복해당없음승선원 1명 구조, 전복된 선박 예인(인양예정)00:33:2600:33:26
8산악사고2019-01-02 오전 12:00:00사상구 엄궁동「승학산 둘레길」0001해당없음해당없음구조 후 병원 이송00:13:3600:13:36
9E/V사고2019-01-02 오전 12:00:00금정구 중앙대로(노포동)「부산」0000해당없음해당없음해당없음00:14:5000:14:50
재난상황명발생일발생장소인명피해사망실종부상재산피해그밖의피해조치사항등록시간수정시간
2255안전사고2016-07-26 오전 12:00:00**인터내셔널0100해당없음해당없음02:18 경찰인계00:18:1900:18:19
2256안전사고2016-07-26 오전 12:00:00대성물산0001해당없음해당없음15:16 병원이송00:26:5100:26:51
2257교통사고2016-07-26 오전 12:00:00두명터널 월평에서 정관방향 인근0002해당없음해당없음15:52 병원이송00:28:2900:28:29
2258점포화재2016-07-27 오전 12:00:00CL라이텍000025938000해당없음03:55 완진00:37:4400:46:43
2259차량화재2016-07-28 오전 12:00:00삼전교차로00031100000교통사고로 인한 부상01:50 완진02:05 병원이송00:43:3200:43:32
2260자살기도2016-07-29 오전 12:00:00남항대교 밑 화장실 인근0000해당없음해당없음00:14 경찰 자살기도자 신변 확보00:15 본 건 상황종료00:40:0200:40:02
2261교통사고2016-07-30 오전 12:00:00백양터널 회차로 입구8008해당없음해당없음12:26 병원이송 완료00:52:4000:52:40
2262아파트 화재2016-07-30 오전 12:00:00전원그린빌라 B동000010,000,000 추정자력대피 42명21:24 완진00:54:5900:54:59
2263교통사고2016-07-31 오전 12:00:00가야대로0100해당없음해당없음07:35 병원이송 후 사망00:07:3400:07:34
2264교통사고2016-07-31 오전 12:00:00해운대문화회관 교차로03014해당없음해당없음17:33 병원이송00:09:3700:09:37