Overview

Dataset statistics

Number of variables5
Number of observations236
Missing cells2
Missing cells (%)0.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.8 KiB
Average record size in memory42.6 B

Variable types

DateTime1
Categorical2
Numeric2

Dataset

Description충청남도 청양군 미세먼지 측정소에서 측정한 미세먼지(PM10) 및 초미세먼지 (PM2.5)농도를 일자별로 제공합니다.
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=92&beforeMenuCd=DOM_000000201001001000&publicdatapk=15105068

Alerts

측정소명 has constant value ""Constant
데이터기준일 has constant value ""Constant
미세먼지(PM10) is highly overall correlated with 초미세먼지(PM2-5)High correlation
초미세먼지(PM2-5) is highly overall correlated with 미세먼지(PM10)High correlation
날짜 has unique valuesUnique

Reproduction

Analysis started2024-01-09 21:37:41.957444
Analysis finished2024-01-09 21:37:42.803392
Duration0.85 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

날짜
Date

UNIQUE 

Distinct236
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
Minimum2022-01-01 00:00:00
Maximum2022-08-24 00:00:00
2024-01-10T06:37:42.864210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:37:42.973583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

측정소명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
충청남도 청양군 청양읍
236 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row충청남도 청양군 청양읍
2nd row충청남도 청양군 청양읍
3rd row충청남도 청양군 청양읍
4th row충청남도 청양군 청양읍
5th row충청남도 청양군 청양읍

Common Values

ValueCountFrequency (%)
충청남도 청양군 청양읍 236
100.0%

Length

2024-01-10T06:37:43.077608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:37:43.146431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
충청남도 236
33.3%
청양군 236
33.3%
청양읍 236
33.3%

미세먼지(PM10)
Real number (ℝ)

HIGH CORRELATION 

Distinct68
Distinct (%)28.9%
Missing1
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean35.52766
Minimum5
Maximum162
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2024-01-10T06:37:43.225570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile15
Q124
median30
Q343
95-th percentile71.3
Maximum162
Range157
Interquartile range (IQR)19

Descriptive statistics

Standard deviation19.204096
Coefficient of variation (CV)0.5405393
Kurtosis8.9466751
Mean35.52766
Median Absolute Deviation (MAD)8
Skewness2.2644807
Sum8349
Variance368.79731
MonotonicityNot monotonic
2024-01-10T06:37:43.334611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
25 13
 
5.5%
26 12
 
5.1%
32 11
 
4.7%
21 10
 
4.2%
27 10
 
4.2%
30 9
 
3.8%
22 9
 
3.8%
36 8
 
3.4%
19 8
 
3.4%
23 8
 
3.4%
Other values (58) 137
58.1%
ValueCountFrequency (%)
5 1
 
0.4%
10 1
 
0.4%
11 2
 
0.8%
13 5
2.1%
14 1
 
0.4%
15 3
 
1.3%
16 2
 
0.8%
17 5
2.1%
18 2
 
0.8%
19 8
3.4%
ValueCountFrequency (%)
162 1
0.4%
107 1
0.4%
106 1
0.4%
96 1
0.4%
90 1
0.4%
86 1
0.4%
82 1
0.4%
80 2
0.8%
74 1
0.4%
73 1
0.4%

초미세먼지(PM2-5)
Real number (ℝ)

HIGH CORRELATION 

Distinct51
Distinct (%)21.7%
Missing1
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean20.229787
Minimum3
Maximum78
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2024-01-10T06:37:43.446503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile5
Q112
median16
Q326
95-th percentile47
Maximum78
Range75
Interquartile range (IQR)14

Descriptive statistics

Standard deviation13.302463
Coefficient of variation (CV)0.65756811
Kurtosis3.3369582
Mean20.229787
Median Absolute Deviation (MAD)6
Skewness1.6633144
Sum4754
Variance176.95552
MonotonicityNot monotonic
2024-01-10T06:37:43.565696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15 20
 
8.5%
14 16
 
6.8%
13 13
 
5.5%
16 12
 
5.1%
11 11
 
4.7%
19 9
 
3.8%
12 9
 
3.8%
10 9
 
3.8%
32 8
 
3.4%
9 8
 
3.4%
Other values (41) 120
50.8%
ValueCountFrequency (%)
3 3
 
1.3%
4 7
3.0%
5 5
2.1%
6 2
 
0.8%
7 4
 
1.7%
8 7
3.0%
9 8
3.4%
10 9
3.8%
11 11
4.7%
12 9
3.8%
ValueCountFrequency (%)
78 1
0.4%
72 1
0.4%
67 2
0.8%
65 1
0.4%
60 1
0.4%
58 1
0.4%
51 2
0.8%
50 1
0.4%
49 1
0.4%
47 2
0.8%

데이터기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2023-10-19
236 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-10-19
2nd row2023-10-19
3rd row2023-10-19
4th row2023-10-19
5th row2023-10-19

Common Values

ValueCountFrequency (%)
2023-10-19 236
100.0%

Length

2024-01-10T06:37:43.666434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:37:43.739386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-10-19 236
100.0%

Interactions

2024-01-10T06:37:42.450285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:37:42.047988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:37:42.526356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:37:42.375628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T06:37:43.791777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
미세먼지(PM10)초미세먼지(PM2-5)
미세먼지(PM10)1.0000.848
초미세먼지(PM2-5)0.8481.000
2024-01-10T06:37:43.877373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
미세먼지(PM10)초미세먼지(PM2-5)
미세먼지(PM10)1.0000.931
초미세먼지(PM2-5)0.9311.000

Missing values

2024-01-10T06:37:42.621968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T06:37:42.695755image/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.
2024-01-10T06:37:42.763589image/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

날짜측정소명미세먼지(PM10)초미세먼지(PM2-5)데이터기준일
02022-01-01충청남도 청양군 청양읍29192023-10-19
12022-01-02충청남도 청양군 청양읍45322023-10-19
22022-01-03충청남도 청양군 청양읍28162023-10-19
32022-01-04충청남도 청양군 청양읍36222023-10-19
42022-01-05충청남도 청양군 청양읍47322023-10-19
52022-01-06충청남도 청양군 청양읍55392023-10-19
62022-01-07충청남도 청양군 청양읍52372023-10-19
72022-01-08충청남도 청양군 청양읍45342023-10-19
82022-01-09충청남도 청양군 청양읍90782023-10-19
92022-01-10충청남도 청양군 청양읍80672023-10-19
날짜측정소명미세먼지(PM10)초미세먼지(PM2-5)데이터기준일
2262022-08-15충청남도 청양군 청양읍1882023-10-19
2272022-08-16충청남도 청양군 청양읍23112023-10-19
2282022-08-17충청남도 청양군 청양읍22142023-10-19
2292022-08-18충청남도 청양군 청양읍22132023-10-19
2302022-08-19충청남도 청양군 청양읍22112023-10-19
2312022-08-20충청남도 청양군 청양읍21122023-10-19
2322022-08-21충청남도 청양군 청양읍20122023-10-19
2332022-08-22충청남도 청양군 청양읍23112023-10-19
2342022-08-23충청남도 청양군 청양읍21122023-10-19
2352022-08-24충청남도 청양군 청양읍2182023-10-19