Overview

Dataset statistics

Number of variables3
Number of observations33
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory957.0 B
Average record size in memory29.0 B

Variable types

Numeric1
Categorical1
Text1

Dataset

Description2021년 12월 31일 기준 광주광역시 서부소방서 관내 대형화재 취약대상의 업종, 대상명 등을 나타내는 데이터 입니다.
Author광주광역시
URLhttps://www.data.go.kr/data/15047458/fileData.do

Alerts

연번 has unique valuesUnique
대상명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 02:32:35.602288
Analysis finished2023-12-12 02:32:36.036223
Duration0.43 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17
Minimum1
Maximum33
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2023-12-12T11:32:36.105629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.6
Q19
median17
Q325
95-th percentile31.4
Maximum33
Range32
Interquartile range (IQR)16

Descriptive statistics

Standard deviation9.6695398
Coefficient of variation (CV)0.56879646
Kurtosis-1.2
Mean17
Median Absolute Deviation (MAD)8
Skewness0
Sum561
Variance93.5
MonotonicityStrictly increasing
2023-12-12T11:32:36.254546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
1 1
 
3.0%
26 1
 
3.0%
20 1
 
3.0%
21 1
 
3.0%
22 1
 
3.0%
23 1
 
3.0%
24 1
 
3.0%
25 1
 
3.0%
27 1
 
3.0%
2 1
 
3.0%
Other values (23) 23
69.7%
ValueCountFrequency (%)
1 1
3.0%
2 1
3.0%
3 1
3.0%
4 1
3.0%
5 1
3.0%
6 1
3.0%
7 1
3.0%
8 1
3.0%
9 1
3.0%
10 1
3.0%
ValueCountFrequency (%)
33 1
3.0%
32 1
3.0%
31 1
3.0%
30 1
3.0%
29 1
3.0%
28 1
3.0%
27 1
3.0%
26 1
3.0%
25 1
3.0%
24 1
3.0%

업종
Categorical

Distinct9
Distinct (%)27.3%
Missing0
Missing (%)0.0%
Memory size396.0 B
복합
10 
의료
6 
판매
6 
문화
4 
숙박
2 
Other values (4)
5 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique3 ?
Unique (%)9.1%

Sample

1st row위락
2nd row의료
3rd row의료
4th row문화
5th row문화

Common Values

ValueCountFrequency (%)
복합 10
30.3%
의료 6
18.2%
판매 6
18.2%
문화 4
 
12.1%
숙박 2
 
6.1%
공장 2
 
6.1%
위락 1
 
3.0%
운수 1
 
3.0%
업무 1
 
3.0%

Length

2023-12-12T11:32:36.443437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:32:36.604276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
복합 10
30.3%
의료 6
18.2%
판매 6
18.2%
문화 4
 
12.1%
숙박 2
 
6.1%
공장 2
 
6.1%
위락 1
 
3.0%
운수 1
 
3.0%
업무 1
 
3.0%

대상명
Text

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2023-12-12T11:32:36.873641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length9
Mean length7.1818182
Min length4

Characters and Unicode

Total characters237
Distinct characters115
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique33 ?
Unique (%)100.0%

Sample

1st row상무관광나이트
2nd row정든요양병원
3rd row청연요양병원
4th row콜럼버스 본관
5th row콜럼버스 별관
ValueCountFrequency (%)
콜럼버스 2
 
4.9%
상무관광나이트 1
 
2.4%
기아자동차1공장 1
 
2.4%
라마다프라자호텔 1
 
2.4%
홀리데이인광주 1
 
2.4%
상무병원 1
 
2.4%
한국병원 1
 
2.4%
서광요양병원 1
 
2.4%
선한병원 1
 
2.4%
kdb생명보험(주 1
 
2.4%
Other values (30) 30
73.2%
2023-12-12T11:32:37.292210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8
 
3.4%
스 8
 
3.4%
광 7
 
3.0%
원 7
 
3.0%
병 7
 
3.0%
상 6
 
2.5%
양 6
 
2.5%
무 6
 
2.5%
자 5
 
2.1%
주 5
 
2.1%
Other values (105) 172
72.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 218
92.0%
Space Separator 8
 
3.4%
Decimal Number 4
 
1.7%
Uppercase Letter 4
 
1.7%
Open Punctuation 1
 
0.4%
Close Punctuation 1
 
0.4%
Dash Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 8
 
3.7%
광 7
 
3.2%
원 7
 
3.2%
병 7
 
3.2%
상 6
 
2.8%
양 6
 
2.8%
무 6
 
2.8%
자 5
 
2.3%
주 5
 
2.3%
트 5
 
2.3%
Other values (94) 156
71.6%
Uppercase Letter
ValueCountFrequency (%)
K 1
25.0%
D 1
25.0%
B 1
25.0%
U 1
25.0%
Decimal Number
ValueCountFrequency (%)
1 2
50.0%
2 1
25.0%
3 1
25.0%
Space Separator
ValueCountFrequency (%)
8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 218
92.0%
Common 15
 
6.3%
Latin 4
 
1.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 8
 
3.7%
광 7
 
3.2%
원 7
 
3.2%
병 7
 
3.2%
상 6
 
2.8%
양 6
 
2.8%
무 6
 
2.8%
자 5
 
2.3%
주 5
 
2.3%
트 5
 
2.3%
Other values (94) 156
71.6%
Common
ValueCountFrequency (%)
8
53.3%
1 2
 
13.3%
( 1
 
6.7%
) 1
 
6.7%
2 1
 
6.7%
- 1
 
6.7%
3 1
 
6.7%
Latin
ValueCountFrequency (%)
K 1
25.0%
D 1
25.0%
B 1
25.0%
U 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 218
92.0%
ASCII 19
 
8.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8
42.1%
1 2
 
10.5%
K 1
 
5.3%
D 1
 
5.3%
B 1
 
5.3%
( 1
 
5.3%
) 1
 
5.3%
2 1
 
5.3%
- 1
 
5.3%
U 1
 
5.3%
Hangul
ValueCountFrequency (%)
스 8
 
3.7%
광 7
 
3.2%
원 7
 
3.2%
병 7
 
3.2%
상 6
 
2.8%
양 6
 
2.8%
무 6
 
2.8%
자 5
 
2.3%
주 5
 
2.3%
트 5
 
2.3%
Other values (94) 156
71.6%

Interactions

2023-12-12T11:32:35.773893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T11:32:37.411521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업종대상명
연번1.0000.7401.000
업종0.7401.0001.000
대상명1.0001.0001.000
2023-12-12T11:32:37.519105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업종
연번1.0000.456
업종0.4561.000

Missing values

2023-12-12T11:32:35.901691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T11:32:35.995671image/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

연번업종대상명
01위락상무관광나이트
12의료정든요양병원
23의료청연요양병원
34문화콜럼버스 본관
45문화콜럼버스 별관
56문화김대중컨벤션센터
67문화U-스퀘어 문화관
78판매양동복개상가
89판매양동시장
910판매광주신세계백화점
연번업종대상명
2324의료선한병원
2425업무KDB생명보험(주)
2526공장기아자동차1공장
2627공장기아자동차2공장
2728복합상무유탑트윈시티 오피스텔
2829복합프리미엄아울렛
2930복합영평프라자
3031복합광명메이루즈
3132복합상무 영무예다음
3233의료백세요양병원