Overview

Dataset statistics

Number of variables3
Number of observations27
Missing cells4
Missing cells (%)4.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory834.0 B
Average record size in memory30.9 B

Variable types

Numeric2
Text1

Dataset

Description광주광역시 서부소방서에서 보유하고 있는 일반구조장비 보유현황의 장비명, 수량 등을 나타내고 표시하는 데이터 파일입니다.
Author광주광역시
URLhttps://www.data.go.kr/data/15071672/fileData.do

Alerts

계 has 4 (14.8%) missing valuesMissing
연번 has unique valuesUnique
장비명 has unique valuesUnique
계 has 1 (3.7%) zerosZeros

Reproduction

Analysis started2023-12-12 22:47:51.701041
Analysis finished2023-12-12 22:47:52.234596
Duration0.53 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.111111
Minimum1
Maximum28
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size375.0 B
2023-12-13T07:47:52.290188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.3
Q17.5
median14
Q320.5
95-th percentile26.7
Maximum28
Range27
Interquartile range (IQR)13

Descriptive statistics

Standard deviation8.1161441
Coefficient of variation (CV)0.57515982
Kurtosis-1.126002
Mean14.111111
Median Absolute Deviation (MAD)7
Skewness0.065426164
Sum381
Variance65.871795
MonotonicityStrictly increasing
2023-12-13T07:47:52.420467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
1 1
 
3.7%
2 1
 
3.7%
28 1
 
3.7%
27 1
 
3.7%
26 1
 
3.7%
24 1
 
3.7%
23 1
 
3.7%
22 1
 
3.7%
21 1
 
3.7%
20 1
 
3.7%
Other values (17) 17
63.0%
ValueCountFrequency (%)
1 1
3.7%
2 1
3.7%
3 1
3.7%
4 1
3.7%
5 1
3.7%
6 1
3.7%
7 1
3.7%
8 1
3.7%
9 1
3.7%
10 1
3.7%
ValueCountFrequency (%)
28 1
3.7%
27 1
3.7%
26 1
3.7%
24 1
3.7%
23 1
3.7%
22 1
3.7%
21 1
3.7%
20 1
3.7%
19 1
3.7%
18 1
3.7%

장비명
Text

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size348.0 B
2023-12-13T07:47:52.626813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length8
Mean length5.7407407
Min length3

Characters and Unicode

Total characters155
Distinct characters95
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

Unique27 ?
Unique (%)100.0%

Sample

1st row승강기비상키
2nd row차량문개방기
3rd row개인랜턴
4th row헤드랜턴
5th row휴대용탐조등
ValueCountFrequency (%)
승강기비상키 1
 
3.1%
차량문개방기 1
 
3.1%
로프보호기 1
 
3.1%
망원경 1
 
3.1%
작동방지자치 1
 
3.1%
에어백 1
 
3.1%
운전석 1
 
3.1%
구조장비 1
 
3.1%
케이블 1
 
3.1%
반지절단기 1
 
3.1%
Other values (22) 22
68.8%
2023-12-13T07:47:52.990551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
기 7
 
4.5%
조 6
 
3.9%
비 6
 
3.9%
용 5
 
3.2%
구 5
 
3.2%
장 5
 
3.2%
5
 
3.2%
전 4
 
2.6%
이 3
 
1.9%
인 3
 
1.9%
Other values (85) 106
68.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 150
96.8%
Space Separator 5
 
3.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 7
 
4.7%
조 6
 
4.0%
비 6
 
4.0%
용 5
 
3.3%
구 5
 
3.3%
장 5
 
3.3%
전 4
 
2.7%
이 3
 
2.0%
인 3
 
2.0%
방 3
 
2.0%
Other values (84) 103
68.7%
Space Separator
ValueCountFrequency (%)
5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 150
96.8%
Common 5
 
3.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 7
 
4.7%
조 6
 
4.0%
비 6
 
4.0%
용 5
 
3.3%
구 5
 
3.3%
장 5
 
3.3%
전 4
 
2.7%
이 3
 
2.0%
인 3
 
2.0%
방 3
 
2.0%
Other values (84) 103
68.7%
Common
ValueCountFrequency (%)
5
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 150
96.8%
ASCII 5
 
3.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
기 7
 
4.7%
조 6
 
4.0%
비 6
 
4.0%
용 5
 
3.3%
구 5
 
3.3%
장 5
 
3.3%
전 4
 
2.7%
이 3
 
2.0%
인 3
 
2.0%
방 3
 
2.0%
Other values (84) 103
68.7%
ASCII
ValueCountFrequency (%)
5
100.0%

계
Real number (ℝ)

MISSING  ZEROS 

Distinct12
Distinct (%)52.2%
Missing4
Missing (%)14.8%
Infinite0
Infinite (%)0.0%
Mean6.9130435
Minimum0
Maximum21
Zeros1
Zeros (%)3.7%
Negative0
Negative (%)0.0%
Memory size375.0 B
2023-12-13T07:47:53.115304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q313.5
95-th percentile19
Maximum21
Range21
Interquartile range (IQR)11.5

Descriptive statistics

Standard deviation7.1916179
Coefficient of variation (CV)1.0402969
Kurtosis-0.81577549
Mean6.9130435
Median Absolute Deviation (MAD)2
Skewness0.9565773
Sum159
Variance51.719368
MonotonicityNot monotonic
2023-12-13T07:47:53.538032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
1 4
14.8%
2 4
14.8%
3 3
11.1%
19 2
7.4%
5 2
7.4%
4 2
7.4%
21 1
 
3.7%
14 1
 
3.7%
16 1
 
3.7%
18 1
 
3.7%
Other values (2) 2
7.4%
(Missing) 4
14.8%
ValueCountFrequency (%)
0 1
 
3.7%
1 4
14.8%
2 4
14.8%
3 3
11.1%
4 2
7.4%
5 2
7.4%
13 1
 
3.7%
14 1
 
3.7%
16 1
 
3.7%
18 1
 
3.7%
ValueCountFrequency (%)
21 1
 
3.7%
19 2
7.4%
18 1
 
3.7%
16 1
 
3.7%
14 1
 
3.7%
13 1
 
3.7%
5 2
7.4%
4 2
7.4%
3 3
11.1%
2 4
14.8%

Interactions

2023-12-13T07:47:51.989035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:47:51.821944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:47:52.058608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:47:51.913371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T07:47:53.639968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번장비명계
연번1.0001.0000.000
장비명1.0001.0001.000
계0.0001.0001.000
2023-12-13T07:47:53.735314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번계
연번1.000-0.188
계-0.1881.000

Missing values

2023-12-13T07:47:52.142366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T07:47:52.207475image/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

연번장비명계
01승강기비상키3
12차량문개방기1
23개인랜턴21
34헤드랜턴19
45휴대용탐조등14
56이동식조명기구2
67로프발사총<NA>
78동물포획장비5
89마취총1
910벌집제거장비4
연번장비명계
1718구조용공구세트3
1819다목적 칼13
1920절연봉2
2021유리창압착기0
2122반지절단기2
2223케이블 구조장비3
2324운전석 에어백 작동방지자치<NA>
2426망원경2
2527로프보호기<NA>
2628훈련용마네킨4