Overview

Dataset statistics

Number of variables3
Number of observations321
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.0 KiB
Average record size in memory25.4 B

Variable types

DateTime1
Numeric1
Categorical1

Dataset

Description광주소방기관에서 사용하는 용기(산소통)충전 시설인 광주광역시소방학교 호흡보호장비정비실내의 공기질관리를 위해 충전시마다 대기질측정기를 통해 공기질을 측정,관리중 입니다.
URLhttps://www.data.go.kr/data/15024783/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
날짜 has unique valuesUnique

Reproduction

Analysis started2023-12-12 22:08:16.265288
Analysis finished2023-12-12 22:08:16.551024
Duration0.29 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

날짜
Date

UNIQUE 

Distinct321
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
Minimum2022-01-01 00:00:00
Maximum2022-12-31 00:00:00
2023-12-13T07:08:16.633434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:08:16.776807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

미세먼지농도
Real number (ℝ)

Distinct51
Distinct (%)15.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.028037
Minimum10
Maximum149
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2023-12-13T07:08:16.921261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile12
Q119
median24
Q332
95-th percentile50
Maximum149
Range139
Interquartile range (IQR)13

Descriptive statistics

Standard deviation14.37932
Coefficient of variation (CV)0.53201494
Kurtosis20.239438
Mean27.028037
Median Absolute Deviation (MAD)6
Skewness3.3352774
Sum8676
Variance206.76484
MonotonicityNot monotonic
2023-12-13T07:08:17.041418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
21 20
 
6.2%
29 16
 
5.0%
19 16
 
5.0%
14 15
 
4.7%
25 15
 
4.7%
22 14
 
4.4%
23 13
 
4.0%
18 13
 
4.0%
30 11
 
3.4%
16 11
 
3.4%
Other values (41) 177
55.1%
ValueCountFrequency (%)
10 6
 
1.9%
11 9
2.8%
12 5
 
1.6%
13 8
2.5%
14 15
4.7%
15 3
 
0.9%
16 11
3.4%
17 9
2.8%
18 13
4.0%
19 16
5.0%
ValueCountFrequency (%)
149 1
0.3%
107 1
0.3%
92 1
0.3%
86 1
0.3%
79 1
0.3%
61 1
0.3%
60 1
0.3%
58 1
0.3%
57 2
0.6%
56 2
0.6%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2022-12-31
321 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-12-31
2nd row2022-12-31
3rd row2022-12-31
4th row2022-12-31
5th row2022-12-31

Common Values

ValueCountFrequency (%)
2022-12-31 321
100.0%

Length

2023-12-13T07:08:17.175259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:08:17.302180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-12-31 321
100.0%

Interactions

2023-12-13T07:08:16.317147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-12-13T07:08:16.440034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T07:08:16.522240image/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

날짜미세먼지농도데이터기준일자
02022-01-01172022-12-31
12022-01-02392022-12-31
22022-01-03262022-12-31
32022-01-04302022-12-31
42022-01-05262022-12-31
52022-01-06342022-12-31
62022-01-07442022-12-31
72022-01-08422022-12-31
82022-01-09522022-12-31
92022-01-10602022-12-31
날짜미세먼지농도데이터기준일자
3112022-12-22232022-12-31
3122022-12-23102022-12-31
3132022-12-24162022-12-31
3142022-12-25192022-12-31
3152022-12-26192022-12-31
3162022-12-27202022-12-31
3172022-12-28292022-12-31
3182022-12-29222022-12-31
3192022-12-30292022-12-31
3202022-12-31222022-12-31