Overview

Dataset statistics

Number of variables6
Number of observations43
Missing cells23
Missing cells (%)8.9%
Duplicate rows14
Duplicate rows (%)32.6%
Total size in memory2.1 KiB
Average record size in memory51.1 B

Variable types

Categorical1
Unsupported5

Dataset

Description광주광역시 119 화재신고 증감율입니다.(2020년대비 2021년 증감율, 2021년 대비 2022년 증감율)
Author광주광역시
URLhttps://www.data.go.kr/data/15054820/fileData.do

Alerts

Dataset has 14 (32.6%) duplicate rowsDuplicates
계 has 2 (4.7%) missing valuesMissing
화재 has 2 (4.7%) missing valuesMissing
구조 has 2 (4.7%) missing valuesMissing
구급 has 2 (4.7%) missing valuesMissing
2021년 대비 화재출동 증감률 has 15 (34.9%) missing valuesMissing
계 is an unsupported type, check if it needs cleaning or further analysisUnsupported
화재 is an unsupported type, check if it needs cleaning or further analysisUnsupported
구조 is an unsupported type, check if it needs cleaning or further analysisUnsupported
구급 is an unsupported type, check if it needs cleaning or further analysisUnsupported
2021년 대비 화재출동 증감률 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-12 17:01:19.582026
Analysis finished2023-12-12 17:01:20.043443
Duration0.46 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

2022년도
Categorical

Distinct16
Distinct (%)37.2%
Missing0
Missing (%)0.0%
Memory size476.0 B
1월
3 
2월
3 
3월
3 
4월
3 
5월
3 
Other values (11)
28 

Length

Max length6
Median length2
Mean length2.4186047
Min length1

Unique

Unique2 ?
Unique (%)4.7%

Sample

1st row1월
2nd row2월
3rd row3월
4th row4월
5th row5월

Common Values

ValueCountFrequency (%)
1월 3
 
7.0%
2월 3
 
7.0%
3월 3
 
7.0%
4월 3
 
7.0%
5월 3
 
7.0%
6월 3
 
7.0%
7월 3
 
7.0%
8월 3
 
7.0%
9월 3
 
7.0%
10월 3
 
7.0%
Other values (6) 13
30.2%

Length

2023-12-13T02:01:20.125772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
1월 3
 
7.0%
2월 3
 
7.0%
3월 3
 
7.0%
4월 3
 
7.0%
5월 3
 
7.0%
6월 3
 
7.0%
7월 3
 
7.0%
8월 3
 
7.0%
9월 3
 
7.0%
10월 3
 
7.0%
Other values (6) 13
30.2%

계
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2
Missing (%)4.7%
Memory size476.0 B

화재
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2
Missing (%)4.7%
Memory size476.0 B

구조
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2
Missing (%)4.7%
Memory size476.0 B

구급
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2
Missing (%)4.7%
Memory size476.0 B

2021년 대비 화재출동 증감률
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing15
Missing (%)34.9%
Memory size476.0 B

Missing values

2023-12-13T02:01:19.670834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T02:01:19.808585image/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.
2023-12-13T02:01:19.958057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

2022년도계화재구조구급2021년 대비 화재출동 증감률
01월71496168875646157.948718
12월68267677105349206.182796
23월89867049247358162.586605
34월82846769886620158.685446
45월833672611396471218.018018
56월849465715276310156.801909
67월926895024285890185.546875
78월11746103127427973171.547421
89월103667322232740287.769784
910월89976591490684896.06414
2022년도계화재구조구급2021년 대비 화재출동 증감률
334월63684459944929NaN
345월749933513585806NaN
356월804538416506011NaN
367월854328722855971NaN
378월999054434106036NaN
389월792733819995590NaN
3910월753440014245710NaN
4011월722334913445530NaN
4112월683537212585205NaN
42계8854845341858165433NaN

Duplicate rows

Most frequently occurring

2022년도# duplicates
010월3
111월3
212월3
31월3
42월3
53월3
64월3
75월3
86월3
97월3