Overview

Dataset statistics

Number of variables3
Number of observations35
Missing cells6
Missing cells (%)5.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.0 KiB
Average record size in memory29.8 B

Variable types

Numeric2
Text1

Dataset

Description광주광역시 서부소방서에서 보유하고 있는 산악구조장비 보유현황인 장비명, 수량 등을 나타내고 표시하는 데이터 파일 입니다.
Author광주광역시
URLhttps://www.data.go.kr/data/15071677/fileData.do

Alerts

계 has 6 (17.1%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 02:06:26.626087
Analysis finished2023-12-12 02:06:27.496017
Duration0.87 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct35
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18
Minimum1
Maximum35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size447.0 B
2023-12-12T11:06:27.577772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.7
Q19.5
median18
Q326.5
95-th percentile33.3
Maximum35
Range34
Interquartile range (IQR)17

Descriptive statistics

Standard deviation10.246951
Coefficient of variation (CV)0.56927504
Kurtosis-1.2
Mean18
Median Absolute Deviation (MAD)9
Skewness0
Sum630
Variance105
MonotonicityStrictly increasing
2023-12-12T11:06:27.808103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
1 1
 
2.9%
2 1
 
2.9%
21 1
 
2.9%
22 1
 
2.9%
23 1
 
2.9%
24 1
 
2.9%
25 1
 
2.9%
26 1
 
2.9%
27 1
 
2.9%
28 1
 
2.9%
Other values (25) 25
71.4%
ValueCountFrequency (%)
1 1
2.9%
2 1
2.9%
3 1
2.9%
4 1
2.9%
5 1
2.9%
6 1
2.9%
7 1
2.9%
8 1
2.9%
9 1
2.9%
10 1
2.9%
ValueCountFrequency (%)
35 1
2.9%
34 1
2.9%
33 1
2.9%
32 1
2.9%
31 1
2.9%
30 1
2.9%
29 1
2.9%
28 1
2.9%
27 1
2.9%
26 1
2.9%

장비명
Text

Distinct34
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Memory size412.0 B
2023-12-12T11:06:28.152159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length9
Mean length5.8571429
Min length2

Characters and Unicode

Total characters205
Distinct characters102
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

Unique33 ?
Unique (%)94.3%

Sample

1st row카라비너(01)
2nd row랜야드(02)
3rd row푸르직 다목적확보장비
4th row등강기
5th row하강기
ValueCountFrequency (%)
산악구조복 2
 
4.4%
구조대상자 2
 
4.4%
도르래 2
 
4.4%
안전벨트 2
 
4.4%
랜야드(02 1
 
2.2%
이송장비 1
 
2.2%
앵커스트랩 1
 
2.2%
바위틈 1
 
2.2%
확보세트 1
 
2.2%
빙벽화 1
 
2.2%
Other values (31) 31
68.9%
2023-12-12T11:06:28.586775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10
 
4.9%
프 8
 
3.9%
로 8
 
3.9%
장 6
 
2.9%
기 6
 
2.9%
트 5
 
2.4%
비 5
 
2.4%
산 4
 
2.0%
보 4
 
2.0%
확 4
 
2.0%
Other values (92) 145
70.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 185
90.2%
Space Separator 10
 
4.9%
Decimal Number 4
 
2.0%
Close Punctuation 3
 
1.5%
Open Punctuation 3
 
1.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
프 8
 
4.3%
로 8
 
4.3%
장 6
 
3.2%
기 6
 
3.2%
트 5
 
2.7%
비 5
 
2.7%
산 4
 
2.2%
보 4
 
2.2%
확 4
 
2.2%
악 4
 
2.2%
Other values (86) 131
70.8%
Decimal Number
ValueCountFrequency (%)
0 2
50.0%
2 1
25.0%
1 1
25.0%
Space Separator
ValueCountFrequency (%)
10
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 185
90.2%
Common 20
 
9.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
프 8
 
4.3%
로 8
 
4.3%
장 6
 
3.2%
기 6
 
3.2%
트 5
 
2.7%
비 5
 
2.7%
산 4
 
2.2%
보 4
 
2.2%
확 4
 
2.2%
악 4
 
2.2%
Other values (86) 131
70.8%
Common
ValueCountFrequency (%)
10
50.0%
) 3
 
15.0%
( 3
 
15.0%
0 2
 
10.0%
2 1
 
5.0%
1 1
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 185
90.2%
ASCII 20
 
9.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10
50.0%
) 3
 
15.0%
( 3
 
15.0%
0 2
 
10.0%
2 1
 
5.0%
1 1
 
5.0%
Hangul
ValueCountFrequency (%)
프 8
 
4.3%
로 8
 
4.3%
장 6
 
3.2%
기 6
 
3.2%
트 5
 
2.7%
비 5
 
2.7%
산 4
 
2.2%
보 4
 
2.2%
확 4
 
2.2%
악 4
 
2.2%
Other values (86) 131
70.8%

계
Real number (ℝ)

MISSING 

Distinct16
Distinct (%)55.2%
Missing6
Missing (%)17.1%
Infinite0
Infinite (%)0.0%
Mean16.241379
Minimum1
Maximum156
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size447.0 B
2023-12-12T11:06:28.747901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.4
Q14
median8
Q319
95-th percentile33.2
Maximum156
Range155
Interquartile range (IQR)15

Descriptive statistics

Standard deviation28.394737
Coefficient of variation (CV)1.7482959
Kurtosis22.665705
Mean16.241379
Median Absolute Deviation (MAD)6
Skewness4.5426235
Sum471
Variance806.26108
MonotonicityNot monotonic
2023-12-12T11:06:28.931241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
8 6
17.1%
2 4
11.4%
19 2
 
5.7%
16 2
 
5.7%
10 2
 
5.7%
4 2
 
5.7%
1 2
 
5.7%
21 1
 
2.9%
17 1
 
2.9%
156 1
 
2.9%
Other values (6) 6
17.1%
(Missing) 6
17.1%
ValueCountFrequency (%)
1 2
 
5.7%
2 4
11.4%
3 1
 
2.9%
4 2
 
5.7%
6 1
 
2.9%
8 6
17.1%
10 2
 
5.7%
16 2
 
5.7%
17 1
 
2.9%
19 2
 
5.7%
ValueCountFrequency (%)
156 1
2.9%
36 1
2.9%
29 1
2.9%
25 1
2.9%
22 1
2.9%
21 1
2.9%
19 2
5.7%
17 1
2.9%
16 2
5.7%
10 2
5.7%

Interactions

2023-12-12T11:06:27.052292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:06:26.768330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:06:27.203353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:06:26.901628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T11:06:29.035304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번장비명계
연번1.0000.9250.428
장비명0.9251.0001.000
계0.4281.0001.000
2023-12-12T11:06:29.155689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번계
연번1.000-0.265
계-0.2651.000

Missing values

2023-12-12T11:06:27.359556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T11:06:27.463868image/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
01카라비너(01)156
12랜야드(02)6
23푸르직 다목적확보장비3
34등강기29
45하강기22
56커넥터세트<NA>
67다중확보기8
78퀵드로우10
89회전고리장치(스위벨)4
910이동식 추락방지장비8
연번장비명계
2526산악용 모자19
2627스패치16
2728아이젠10
2829빙벽용크램폰<NA>
2930빙벽화<NA>
3031바위틈 확보세트<NA>
3132앵커스트랩16
3233구조대상자 이송장비2
3334구조대상자 안전벨트2
3435홍염1