Overview

Dataset statistics

Number of variables6
Number of observations36
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.9 KiB
Average record size in memory53.7 B

Variable types

Numeric2
Categorical1
Text2
DateTime1

Dataset

Description광주광역시 광산소방서에서 화재발생 시 대형 인명 및 재산피해를 사전에 예방하기 위하여 선정한 대형화재취약대상 현황입니다. 특수장소(구분), 대상명, 소재지도로명주소, 연먼적 등의 항목을 제공합니다.
Author광주광역시
URLhttps://www.data.go.kr/data/15047454/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
연번 has unique valuesUnique
대상명 has unique valuesUnique
소재지도로명주소 has unique valuesUnique
연면적(제곱미터) has unique valuesUnique

Reproduction

Analysis started2023-12-12 23:40:50.220699
Analysis finished2023-12-12 23:40:51.144924
Duration0.92 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.5
Minimum1
Maximum36
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size456.0 B
2023-12-13T08:40:51.203910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.75
Q19.75
median18.5
Q327.25
95-th percentile34.25
Maximum36
Range35
Interquartile range (IQR)17.5

Descriptive statistics

Standard deviation10.535654
Coefficient of variation (CV)0.5694948
Kurtosis-1.2
Mean18.5
Median Absolute Deviation (MAD)9
Skewness0
Sum666
Variance111
MonotonicityStrictly increasing
2023-12-13T08:40:51.315635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
1 1
 
2.8%
20 1
 
2.8%
22 1
 
2.8%
23 1
 
2.8%
24 1
 
2.8%
25 1
 
2.8%
26 1
 
2.8%
27 1
 
2.8%
28 1
 
2.8%
29 1
 
2.8%
Other values (26) 26
72.2%
ValueCountFrequency (%)
1 1
2.8%
2 1
2.8%
3 1
2.8%
4 1
2.8%
5 1
2.8%
6 1
2.8%
7 1
2.8%
8 1
2.8%
9 1
2.8%
10 1
2.8%
ValueCountFrequency (%)
36 1
2.8%
35 1
2.8%
34 1
2.8%
33 1
2.8%
32 1
2.8%
31 1
2.8%
30 1
2.8%
29 1
2.8%
28 1
2.8%
27 1
2.8%

특수장소
Categorical

Distinct10
Distinct (%)27.8%
Missing0
Missing (%)0.0%
Memory size420.0 B
공장
10 
병원
10 
판매
5 
다중
3 
위험물
2 
Other values (5)
6 

Length

Max length4
Median length2
Mean length2.1666667
Min length2

Unique

Unique4 ?
Unique (%)11.1%

Sample

1st row공장
2nd row공장
3rd row공장
4th row공장
5th row판매

Common Values

ValueCountFrequency (%)
공장 10
27.8%
병원 10
27.8%
판매 5
13.9%
다중 3
 
8.3%
위험물 2
 
5.6%
영화상영 2
 
5.6%
유흥 1
 
2.8%
복합 1
 
2.8%
숙박 1
 
2.8%
고층 1
 
2.8%

Length

2023-12-13T08:40:51.436050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:40:51.568422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공장 10
27.8%
병원 10
27.8%
판매 5
13.9%
다중 3
 
8.3%
위험물 2
 
5.6%
영화상영 2
 
5.6%
유흥 1
 
2.8%
복합 1
 
2.8%
숙박 1
 
2.8%
고층 1
 
2.8%

대상명
Text

UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size420.0 B
2023-12-13T08:40:51.767603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length19.5
Mean length9.1388889
Min length4

Characters and Unicode

Total characters329
Distinct characters127
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique36 ?
Unique (%)100.0%

Sample

1st row태성산업(주)
2nd row위니아전자매뉴팩처링(㈜동부대우전자)
3rd rowLG이노텍
4th row㈜오텍캐리어
5th row롯데아울렛 광주수완점
ValueCountFrequency (%)
대한송유관공사 2
 
3.9%
태성산업(주 1
 
2.0%
첨단병원 1
 
2.0%
광주보훈병원 1
 
2.0%
수완ks병원 1
 
2.0%
광주농수산물 1
 
2.0%
종합유통센터 1
 
2.0%
수완재활요양병원 1
 
2.0%
신가병원 1
 
2.0%
롯데마트 1
 
2.0%
Other values (40) 40
78.4%
2023-12-13T08:40:52.155136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
17
 
5.2%
주 14
 
4.3%
광 12
 
3.6%
( 11
 
3.3%
) 11
 
3.3%
병 11
 
3.3%
원 11
 
3.3%
스 6
 
1.8%
수 5
 
1.5%
이 5
 
1.5%
Other values (117) 226
68.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 265
80.5%
Space Separator 17
 
5.2%
Uppercase Letter 14
 
4.3%
Open Punctuation 11
 
3.3%
Close Punctuation 11
 
3.3%
Decimal Number 5
 
1.5%
Other Punctuation 2
 
0.6%
Other Symbol 2
 
0.6%
Lowercase Letter 2
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 14
 
5.3%
광 12
 
4.5%
병 11
 
4.2%
원 11
 
4.2%
스 6
 
2.3%
수 5
 
1.9%
이 5
 
1.9%
사 5
 
1.9%
파 5
 
1.9%
지 5
 
1.9%
Other values (100) 186
70.2%
Uppercase Letter
ValueCountFrequency (%)
G 4
28.6%
S 2
14.3%
C 2
14.3%
L 2
14.3%
M 2
14.3%
K 1
 
7.1%
V 1
 
7.1%
Decimal Number
ValueCountFrequency (%)
1 3
60.0%
0 1
 
20.0%
3 1
 
20.0%
Lowercase Letter
ValueCountFrequency (%)
s 1
50.0%
k 1
50.0%
Space Separator
ValueCountFrequency (%)
17
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 267
81.2%
Common 46
 
14.0%
Latin 16
 
4.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 14
 
5.2%
광 12
 
4.5%
병 11
 
4.1%
원 11
 
4.1%
스 6
 
2.2%
수 5
 
1.9%
이 5
 
1.9%
사 5
 
1.9%
파 5
 
1.9%
지 5
 
1.9%
Other values (101) 188
70.4%
Latin
ValueCountFrequency (%)
G 4
25.0%
S 2
12.5%
C 2
12.5%
L 2
12.5%
M 2
12.5%
K 1
 
6.2%
V 1
 
6.2%
s 1
 
6.2%
k 1
 
6.2%
Common
ValueCountFrequency (%)
17
37.0%
( 11
23.9%
) 11
23.9%
1 3
 
6.5%
. 2
 
4.3%
0 1
 
2.2%
3 1
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 265
80.5%
ASCII 62
 
18.8%
None 2
 
0.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
17
27.4%
( 11
17.7%
) 11
17.7%
G 4
 
6.5%
1 3
 
4.8%
. 2
 
3.2%
S 2
 
3.2%
C 2
 
3.2%
L 2
 
3.2%
M 2
 
3.2%
Other values (6) 6
 
9.7%
Hangul
ValueCountFrequency (%)
주 14
 
5.3%
광 12
 
4.5%
병 11
 
4.2%
원 11
 
4.2%
스 6
 
2.3%
수 5
 
1.9%
이 5
 
1.9%
사 5
 
1.9%
파 5
 
1.9%
지 5
 
1.9%
Other values (100) 186
70.2%
None
ValueCountFrequency (%)
㈜ 2
100.0%

소재지도로명주소
Text

UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size420.0 B
2023-12-13T08:40:52.424239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length33
Mean length29.861111
Min length16

Characters and Unicode

Total characters1075
Distinct characters79
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique36 ?
Unique (%)100.0%

Sample

1st row광주광역시 광산구 하남산단5번로 117(장덕동 973-2)
2nd row광주광역시 광산구 용아로 559(장덕동 980-1,981-1)
3rd row광주광역시 광산구 하남산단5번로 26(장덕동 978-1)
4th row광주광역시 광산구 용아로 559(장덕동 981-11)
5th row광주광역시 광산구 장신로 98(장덕동 1678)
ValueCountFrequency (%)
광주광역시 36
20.2%
광산구 36
20.2%
용아로 4
 
2.2%
559(장덕동 2
 
1.1%
사암로 2
 
1.1%
임방울대로 2
 
1.1%
장신로 2
 
1.1%
하남산단5번로 2
 
1.1%
손재로287번길 2
 
1.1%
887-1 1
 
0.6%
Other values (89) 89
50.0%
2023-12-13T08:40:52.810982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
142
 
13.2%
광 108
 
10.0%
1 53
 
4.9%
산 49
 
4.6%
동 37
 
3.4%
시 36
 
3.3%
구 36
 
3.3%
주 36
 
3.3%
로 36
 
3.3%
역 36
 
3.3%
Other values (69) 506
47.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 555
51.6%
Decimal Number 275
25.6%
Space Separator 142
 
13.2%
Open Punctuation 35
 
3.3%
Close Punctuation 35
 
3.3%
Dash Punctuation 30
 
2.8%
Other Punctuation 3
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 108
19.5%
산 49
 
8.8%
동 37
 
6.7%
시 36
 
6.5%
구 36
 
6.5%
주 36
 
6.5%
로 36
 
6.5%
역 36
 
6.5%
번 12
 
2.2%
단 11
 
2.0%
Other values (54) 158
28.5%
Decimal Number
ValueCountFrequency (%)
1 53
19.3%
5 34
12.4%
8 31
11.3%
9 31
11.3%
2 30
10.9%
7 25
9.1%
3 23
8.4%
0 21
 
7.6%
6 20
 
7.3%
4 7
 
2.5%
Space Separator
ValueCountFrequency (%)
142
100.0%
Open Punctuation
ValueCountFrequency (%)
( 35
100.0%
Close Punctuation
ValueCountFrequency (%)
) 35
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 30
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 555
51.6%
Common 520
48.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 108
19.5%
산 49
 
8.8%
동 37
 
6.7%
시 36
 
6.5%
구 36
 
6.5%
주 36
 
6.5%
로 36
 
6.5%
역 36
 
6.5%
번 12
 
2.2%
단 11
 
2.0%
Other values (54) 158
28.5%
Common
ValueCountFrequency (%)
142
27.3%
1 53
 
10.2%
( 35
 
6.7%
) 35
 
6.7%
5 34
 
6.5%
8 31
 
6.0%
9 31
 
6.0%
2 30
 
5.8%
- 30
 
5.8%
7 25
 
4.8%
Other values (5) 74
14.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 555
51.6%
ASCII 520
48.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
142
27.3%
1 53
 
10.2%
( 35
 
6.7%
) 35
 
6.7%
5 34
 
6.5%
8 31
 
6.0%
9 31
 
6.0%
2 30
 
5.8%
- 30
 
5.8%
7 25
 
4.8%
Other values (5) 74
14.2%
Hangul
ValueCountFrequency (%)
광 108
19.5%
산 49
 
8.8%
동 37
 
6.7%
시 36
 
6.5%
구 36
 
6.5%
주 36
 
6.5%
로 36
 
6.5%
역 36
 
6.5%
번 12
 
2.2%
단 11
 
2.0%
Other values (54) 158
28.5%

연면적(제곱미터)
Real number (ℝ)

UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean45201.472
Minimum2011
Maximum301491
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size456.0 B
2023-12-13T08:40:52.965769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2011
5-th percentile3839
Q111999.75
median24465.5
Q344656.75
95-th percentile165781.5
Maximum301491
Range299480
Interquartile range (IQR)32657

Descriptive statistics

Standard deviation67187.052
Coefficient of variation (CV)1.4863908
Kurtosis10.034006
Mean45201.472
Median Absolute Deviation (MAD)15155.5
Skewness3.1345635
Sum1627253
Variance4.5140999 × 109
MonotonicityNot monotonic
2023-12-13T08:40:53.082157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
23852 1
 
2.8%
10605 1
 
2.8%
50201 1
 
2.8%
28586 1
 
2.8%
10331 1
 
2.8%
18556 1
 
2.8%
4783 1
 
2.8%
44631 1
 
2.8%
20272 1
 
2.8%
3943 1
 
2.8%
Other values (26) 26
72.2%
ValueCountFrequency (%)
2011 1
2.8%
3527 1
2.8%
3943 1
2.8%
4404 1
2.8%
4748 1
2.8%
4783 1
2.8%
10331 1
2.8%
10605 1
2.8%
11390 1
2.8%
12203 1
2.8%
ValueCountFrequency (%)
301491 1
2.8%
290301 1
2.8%
124275 1
2.8%
87697 1
2.8%
83323 1
2.8%
64101 1
2.8%
55868 1
2.8%
50201 1
2.8%
44734 1
2.8%
44631 1
2.8%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size420.0 B
Minimum2022-10-07 00:00:00
Maximum2022-10-07 00:00:00
2023-12-13T08:40:53.189539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:40:53.270867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-13T08:40:50.838959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:40:50.453738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:40:50.911588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:40:50.526175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T08:40:53.341742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번특수장소대상명소재지도로명주소연면적(제곱미터)
연번1.0000.5811.0001.0000.788
특수장소0.5811.0001.0001.0000.000
대상명1.0001.0001.0001.0001.000
소재지도로명주소1.0001.0001.0001.0001.000
연면적(제곱미터)0.7880.0001.0001.0001.000
2023-12-13T08:40:53.431367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번연면적(제곱미터)특수장소
연번1.000-0.3940.249
연면적(제곱미터)-0.3941.0000.000
특수장소0.2490.0001.000

Missing values

2023-12-13T08:40:51.007548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T08:40:51.099481image/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

연번특수장소대상명소재지도로명주소연면적(제곱미터)데이터기준일자
01공장태성산업(주)광주광역시 광산구 하남산단5번로 117(장덕동 973-2)238522022-10-07
12공장위니아전자매뉴팩처링(㈜동부대우전자)광주광역시 광산구 용아로 559(장덕동 980-1,981-1)833232022-10-07
23공장LG이노텍광주광역시 광산구 하남산단5번로 26(장덕동 978-1)876972022-10-07
34공장㈜오텍캐리어광주광역시 광산구 용아로 559(장덕동 981-11)641012022-10-07
45판매롯데아울렛 광주수완점광주광역시 광산구 장신로 98(장덕동 1678)1242752022-10-07
56다중수영빌딩광주광역시 광산구 장신로 85(장덕동 1302)207672022-10-07
67공장기아자동차(제3공장)광주광역시 광산구 하남산단8번로 33(안청동 735-12)558682022-10-07
78공장삼성전자 광주사업장광주광역시 광산구 하남산단6번로 107(오선동 271,272)3014912022-10-07
89공장세방전지(주)광주광역시 광산구 손재로 287(하남동 500-4,5)447342022-10-07
910판매홈플러스 광주하남점광주광역시 광산구 용아로 390(하남동 831)252632022-10-07
연번특수장소대상명소재지도로명주소연면적(제곱미터)데이터기준일자
2627병원광주보훈병원광주광역시 광산구 첨단월봉로 99(산월동 887-1)446312022-10-07
2728병원첨단병원광주광역시 광산구 첨단중앙로170번길 59(쌍암동 665-1)202722022-10-07
2829병원광주요양병원광주광역시 광산구 임방울대로 816(월계동 870-1)39432022-10-07
2930고층힐스테이트 리버파크 오피스텔(110동)광주광역시 광산구 첨단강변로 100(쌍암동 695-1)200752022-10-07
3031다중대상파크타운광주광역시 광산구 월계로 203(월계동 893-9)254782022-10-07
3132영화상영씨네파크(CGV첨단)광주광역시 광산구 임방울대로826번길 29-31(쌍암동 694-35)134712022-10-07
3233다중LC타워광주광역시 광산구 첨단중앙로 167(월계동 889-2)194102022-10-07
3334공장전방(주)광주광역시 광산구 평동산단로 191(월전동 987)250792022-10-07
3435공장일신방직광주광역시 광산구 평동산단1번로 71(옥동 879-4)349492022-10-07
3536병원광주시립 정신병원광주시립 제1요양병원광주광역시 광산구 삼도로 84-3(삼거동 605-1)132912022-10-07