Overview

Dataset statistics

Number of variables6
Number of observations2208
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory112.2 KiB
Average record size in memory52.1 B

Variable types

DateTime1
Categorical1
Numeric4

Dataset

Description광양항 중흥부두(2번 센서)의 대기정보 데이터입니다. 데이터 구성은 시간, 측정소, PM2.5수치, PM10수치, 온도, 습도로 구성되어 있습니다.데이터 갱신주기는 분기입니다.
Author여수광양항만공사
URLhttps://www.data.go.kr/data/15090375/fileData.do

Alerts

측정소 has constant value ""Constant
미세먼지(PM)2_5 is highly overall correlated with 미세먼지(PM)10High correlation
미세먼지(PM)10 is highly overall correlated with 미세먼지(PM)2_5High correlation
시간 has unique valuesUnique
미세먼지(PM)2_5 has 85 (3.8%) zerosZeros
미세먼지(PM)10 has 35 (1.6%) zerosZeros

Reproduction

Analysis started2024-03-14 12:11:25.616302
Analysis finished2024-03-14 12:11:30.662921
Duration5.05 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시간
Date

UNIQUE 

Distinct2208
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size17.4 KiB
Minimum2023-10-01 00:00:00
Maximum2023-12-31 23:00:00
2024-03-14T21:11:30.875258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:11:31.333710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

측정소
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size17.4 KiB
중흥부두2 실외
2208 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row중흥부두2 실외
2nd row중흥부두2 실외
3rd row중흥부두2 실외
4th row중흥부두2 실외
5th row중흥부두2 실외

Common Values

ValueCountFrequency (%)
중흥부두2 실외 2208
100.0%

Length

2024-03-14T21:11:31.747286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T21:11:32.051022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
중흥부두2 2208
50.0%
실외 2208
50.0%

미세먼지(PM)2_5
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct85
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.23913
Minimum0
Maximum288
Zeros85
Zeros (%)3.8%
Negative0
Negative (%)0.0%
Memory size19.5 KiB
2024-03-14T21:11:32.386224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q14
median7
Q315
95-th percentile38
Maximum288
Range288
Interquartile range (IQR)11

Descriptive statistics

Standard deviation22.265561
Coefficient of variation (CV)1.6817994
Kurtosis56.110225
Mean13.23913
Median Absolute Deviation (MAD)4
Skewness6.4768925
Sum29232
Variance495.75521
MonotonicityNot monotonic
2024-03-14T21:11:33.036185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 177
 
8.0%
3 162
 
7.3%
6 158
 
7.2%
2 147
 
6.7%
5 146
 
6.6%
1 144
 
6.5%
7 127
 
5.8%
9 96
 
4.3%
10 95
 
4.3%
8 89
 
4.0%
Other values (75) 867
39.3%
ValueCountFrequency (%)
0 85
3.8%
1 144
6.5%
2 147
6.7%
3 162
7.3%
4 177
8.0%
5 146
6.6%
6 158
7.2%
7 127
5.8%
8 89
4.0%
9 96
4.3%
ValueCountFrequency (%)
288 1
< 0.1%
287 1
< 0.1%
265 1
< 0.1%
225 2
0.1%
214 1
< 0.1%
210 1
< 0.1%
194 1
< 0.1%
190 1
< 0.1%
188 2
0.1%
186 1
< 0.1%

미세먼지(PM)10
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct105
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.996377
Minimum0
Maximum327
Zeros35
Zeros (%)1.6%
Negative0
Negative (%)0.0%
Memory size19.5 KiB
2024-03-14T21:11:33.449715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q15
median9
Q318
95-th percentile47.65
Maximum327
Range327
Interquartile range (IQR)13

Descriptive statistics

Standard deviation25.625903
Coefficient of variation (CV)1.6019817
Kurtosis51.84847
Mean15.996377
Median Absolute Deviation (MAD)5
Skewness6.1837908
Sum35320
Variance656.68689
MonotonicityNot monotonic
2024-03-14T21:11:33.880125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 149
 
6.7%
4 142
 
6.4%
3 138
 
6.2%
7 136
 
6.2%
6 134
 
6.1%
8 124
 
5.6%
2 124
 
5.6%
9 97
 
4.4%
11 89
 
4.0%
10 86
 
3.9%
Other values (95) 989
44.8%
ValueCountFrequency (%)
0 35
 
1.6%
1 78
3.5%
2 124
5.6%
3 138
6.2%
4 142
6.4%
5 149
6.7%
6 134
6.1%
7 136
6.2%
8 124
5.6%
9 97
4.4%
ValueCountFrequency (%)
327 1
< 0.1%
320 1
< 0.1%
307 1
< 0.1%
256 1
< 0.1%
254 1
< 0.1%
233 1
< 0.1%
232 1
< 0.1%
227 1
< 0.1%
219 1
< 0.1%
216 1
< 0.1%

온도(섭씨)
Real number (ℝ)

Distinct1189
Distinct (%)53.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.977568
Minimum4.41
Maximum29.91
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size19.5 KiB
2024-03-14T21:11:34.302266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4.41
5-th percentile7.907
Q113.85
median17.98
Q322.44
95-th percentile27.2165
Maximum29.91
Range25.5
Interquartile range (IQR)8.59

Descriptive statistics

Standard deviation5.7987355
Coefficient of variation (CV)0.32255394
Kurtosis-0.74398804
Mean17.977568
Median Absolute Deviation (MAD)4.285
Skewness-0.11655823
Sum39694.47
Variance33.625333
MonotonicityNot monotonic
2024-03-14T21:11:34.744039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
16.28 6
 
0.3%
23.96 6
 
0.3%
24.01 6
 
0.3%
12.03 6
 
0.3%
15.17 6
 
0.3%
16.05 5
 
0.2%
13.78 5
 
0.2%
19.26 5
 
0.2%
16.95 5
 
0.2%
14.65 5
 
0.2%
Other values (1179) 2153
97.5%
ValueCountFrequency (%)
4.41 1
< 0.1%
4.59 1
< 0.1%
4.65 1
< 0.1%
4.72 1
< 0.1%
4.74 1
< 0.1%
4.75 1
< 0.1%
4.78 1
< 0.1%
4.79 1
< 0.1%
4.82 2
0.1%
4.96 1
< 0.1%
ValueCountFrequency (%)
29.91 1
< 0.1%
29.87 1
< 0.1%
29.81 1
< 0.1%
29.8 1
< 0.1%
29.78 1
< 0.1%
29.55 1
< 0.1%
29.52 1
< 0.1%
29.5 2
0.1%
29.45 1
< 0.1%
29.34 2
0.1%

습도(퍼센트)
Real number (ℝ)

Distinct1556
Distinct (%)70.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean47.402405
Minimum30.57
Maximum74.27
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size19.5 KiB
2024-03-14T21:11:34.995472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum30.57
5-th percentile36.02
Q141.35
median45.975
Q352.4125
95-th percentile62.8215
Maximum74.27
Range43.7
Interquartile range (IQR)11.0625

Descriptive statistics

Standard deviation8.4343043
Coefficient of variation (CV)0.17792988
Kurtosis0.36773602
Mean47.402405
Median Absolute Deviation (MAD)5.33
Skewness0.7579148
Sum104664.51
Variance71.137488
MonotonicityNot monotonic
2024-03-14T21:11:35.245310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
43.86 6
 
0.3%
41.08 6
 
0.3%
40.86 6
 
0.3%
43.33 6
 
0.3%
42.08 5
 
0.2%
40.93 4
 
0.2%
51.2 4
 
0.2%
45.09 4
 
0.2%
58.28 4
 
0.2%
42.02 4
 
0.2%
Other values (1546) 2159
97.8%
ValueCountFrequency (%)
30.57 1
< 0.1%
30.74 1
< 0.1%
30.82 1
< 0.1%
31.18 2
0.1%
31.23 1
< 0.1%
31.3 1
< 0.1%
31.59 1
< 0.1%
31.71 1
< 0.1%
31.92 1
< 0.1%
32.01 2
0.1%
ValueCountFrequency (%)
74.27 1
< 0.1%
73.95 1
< 0.1%
73.94 1
< 0.1%
73.56 1
< 0.1%
73.52 1
< 0.1%
73.19 1
< 0.1%
73.12 1
< 0.1%
73.03 1
< 0.1%
72.94 1
< 0.1%
72.89 1
< 0.1%

Interactions

2024-03-14T21:11:29.046830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:11:25.849074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:11:26.915477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:11:27.988897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:11:29.313454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:11:26.118963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:11:27.184772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:11:28.260301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:11:29.575536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:11:26.392364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:11:27.452543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:11:28.526647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:11:29.835704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:11:26.658400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:11:27.731542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:11:28.793163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T21:11:35.403035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
미세먼지(PM)2_5미세먼지(PM)10온도(섭씨)습도(퍼센트)
미세먼지(PM)2_51.0000.9960.1220.145
미세먼지(PM)100.9961.0000.1300.161
온도(섭씨)0.1220.1301.0000.461
습도(퍼센트)0.1450.1610.4611.000
2024-03-14T21:11:35.585730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
미세먼지(PM)2_5미세먼지(PM)10온도(섭씨)습도(퍼센트)
미세먼지(PM)2_51.0000.979-0.0800.239
미세먼지(PM)100.9791.000-0.1050.220
온도(섭씨)-0.080-0.1051.0000.243
습도(퍼센트)0.2390.2200.2431.000

Missing values

2024-03-14T21:11:30.167843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T21:11:30.521315image/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

시간측정소미세먼지(PM)2_5미세먼지(PM)10온도(섭씨)습도(퍼센트)
02023-10-01 00:00중흥부두2 실외6823.6459.48
12023-10-01 01:00중흥부두2 실외6723.4559.85
22023-10-01 02:00중흥부두2 실외4523.2960.14
32023-10-01 03:00중흥부두2 실외5523.260.43
42023-10-01 04:00중흥부두2 실외3323.0860.79
52023-10-01 05:00중흥부두2 실외6722.9561.07
62023-10-01 06:00중흥부두2 실외6622.8860.98
72023-10-01 07:00중흥부두2 실외5624.0860.36
82023-10-01 08:00중흥부두2 실외4526.6757.47
92023-10-01 09:00중흥부두2 실외4528.8953.6
시간측정소미세먼지(PM)2_5미세먼지(PM)10온도(섭씨)습도(퍼센트)
21982023-12-31 14:00중흥부두2 실외132013.4449.25
21992023-12-31 15:00중흥부두2 실외141913.1549.44
22002023-12-31 16:00중흥부두2 실외141913.1349.6
22012023-12-31 17:00중흥부두2 실외182213.1949.54
22022023-12-31 18:00중흥부두2 실외222713.2849.41
22032023-12-31 19:00중흥부두2 실외222813.2149.07
22042023-12-31 20:00중흥부두2 실외222913.1148.95
22052023-12-31 21:00중흥부두2 실외222812.948.84
22062023-12-31 22:00중흥부두2 실외232712.8448.87
22072023-12-31 23:00중흥부두2 실외232412.7349.23