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 황길동 월드마린센터 1층(실내) 센서에서 측정한 대기정보에 대한 데이터입니다. 데이터는 시간, 측정소, PM2.5, PM10, 온도, 습도로 구성되어 있습니다.데이터 갱신주기는 분기입니다.
Author여수광양항만공사
URLhttps://www.data.go.kr/data/15090603/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 103 (4.7%) zerosZeros
미세먼지(PM)10 has 40 (1.8%) zerosZeros

Reproduction

Analysis started2024-03-14 19:57:39.093249
Analysis finished2024-03-14 19:57:44.476116
Duration5.38 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
2024-03-15T04:57:44.691799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:57:45.019610image/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
월드마린센터 1F
2208 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row월드마린센터 1F
2nd row월드마린센터 1F
3rd row월드마린센터 1F
4th row월드마린센터 1F
5th row월드마린센터 1F

Common Values

ValueCountFrequency (%)
월드마린센터 1F 2208
100.0%

Length

2024-03-15T04:57:45.320185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T04:57:45.530388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
월드마린센터 2208
50.0%
1f 2208
50.0%

미세먼지(PM)2_5
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct78
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.8362772
Minimum0
Maximum52
Zeros103
Zeros (%)4.7%
Negative0
Negative (%)0.0%
Memory size19.5 KiB
2024-03-15T04:57:45.743758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median7
Q313
95-th percentile26
Maximum52
Range52
Interquartile range (IQR)10

Descriptive statistics

Standard deviation8.0026288
Coefficient of variation (CV)0.90565616
Kurtosis3.0212375
Mean8.8362772
Median Absolute Deviation (MAD)5
Skewness1.5802174
Sum19510.5
Variance64.042068
MonotonicityNot monotonic
2024-03-15T04:57:46.001947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.0 229
 
10.4%
1.0 172
 
7.8%
3.0 171
 
7.7%
4.0 167
 
7.6%
5.0 129
 
5.8%
6.0 112
 
5.1%
8.0 106
 
4.8%
0.0 103
 
4.7%
7.0 99
 
4.5%
10.0 96
 
4.3%
Other values (68) 824
37.3%
ValueCountFrequency (%)
0.0 103
4.7%
1.0 172
7.8%
2.0 229
10.4%
3.0 171
7.7%
4.0 167
7.6%
5.0 129
5.8%
6.0 112
5.1%
7.0 99
4.5%
8.0 106
4.8%
9.0 81
 
3.7%
ValueCountFrequency (%)
52.0 1
 
< 0.1%
50.0 1
 
< 0.1%
47.0 1
 
< 0.1%
46.0 1
 
< 0.1%
43.0 3
0.1%
41.0 1
 
< 0.1%
40.0 4
0.2%
39.0 2
0.1%
38.0 4
0.2%
37.0 3
0.1%

미세먼지(PM)10
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct94
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.559103
Minimum0
Maximum64
Zeros40
Zeros (%)1.8%
Negative0
Negative (%)0.0%
Memory size19.5 KiB
2024-03-15T04:57:46.418046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q14
median8
Q315
95-th percentile29
Maximum64
Range64
Interquartile range (IQR)11

Descriptive statistics

Standard deviation9.1471745
Coefficient of variation (CV)0.86628327
Kurtosis4.5545442
Mean10.559103
Median Absolute Deviation (MAD)5
Skewness1.8144923
Sum23314.5
Variance83.670801
MonotonicityNot monotonic
2024-03-15T04:57:46.801316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.0 174
 
7.9%
4.0 169
 
7.7%
3.0 158
 
7.2%
5.0 148
 
6.7%
6.0 125
 
5.7%
7.0 115
 
5.2%
1.0 104
 
4.7%
8.0 102
 
4.6%
9.0 102
 
4.6%
11.0 96
 
4.3%
Other values (84) 915
41.4%
ValueCountFrequency (%)
0.0 40
 
1.8%
1.0 104
4.7%
2.0 174
7.9%
3.0 158
7.2%
4.0 169
7.7%
5.0 148
6.7%
6.0 125
5.7%
7.0 115
5.2%
8.0 102
4.6%
9.0 102
4.6%
ValueCountFrequency (%)
64.0 1
 
< 0.1%
63.0 1
 
< 0.1%
62.0 1
 
< 0.1%
59.0 1
 
< 0.1%
56.0 1
 
< 0.1%
55.0 1
 
< 0.1%
54.0 1
 
< 0.1%
52.0 1
 
< 0.1%
51.0 3
0.1%
50.0 1
 
< 0.1%

온도(섭씨)
Real number (ℝ)

Distinct949
Distinct (%)43.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.159194
Minimum9
Maximum29.06
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size19.5 KiB
2024-03-15T04:57:47.233527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile13.3505
Q118.11
median22.27
Q324.245
95-th percentile26.51
Maximum29.06
Range20.06
Interquartile range (IQR)6.135

Descriptive statistics

Standard deviation4.1959665
Coefficient of variation (CV)0.19830465
Kurtosis-0.20489112
Mean21.159194
Median Absolute Deviation (MAD)2.785
Skewness-0.7240112
Sum46719.5
Variance17.606135
MonotonicityNot monotonic
2024-03-15T04:57:47.725265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
23.44 10
 
0.5%
23.48 10
 
0.5%
23.54 9
 
0.4%
24.13 9
 
0.4%
23.89 9
 
0.4%
23.16 8
 
0.4%
23.07 8
 
0.4%
21.85 8
 
0.4%
23.36 7
 
0.3%
23.62 7
 
0.3%
Other values (939) 2123
96.2%
ValueCountFrequency (%)
9.0 1
< 0.1%
9.06 1
< 0.1%
9.14 1
< 0.1%
9.17 1
< 0.1%
9.21 1
< 0.1%
9.28 1
< 0.1%
9.32 1
< 0.1%
9.37 1
< 0.1%
9.42 2
0.1%
9.51 1
< 0.1%
ValueCountFrequency (%)
29.06 1
 
< 0.1%
28.99 1
 
< 0.1%
28.66 1
 
< 0.1%
28.52 2
0.1%
28.26 1
 
< 0.1%
28.07 3
0.1%
28.04 1
 
< 0.1%
28.01 1
 
< 0.1%
27.98 1
 
< 0.1%
27.95 1
 
< 0.1%

습도(퍼센트)
Real number (ℝ)

Distinct1706
Distinct (%)77.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.482409
Minimum12.63
Maximum69.17
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size19.5 KiB
2024-03-15T04:57:48.198828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12.63
5-th percentile19.7435
Q128.7175
median37.345
Q345.98
95-th percentile55.401
Maximum69.17
Range56.54
Interquartile range (IQR)17.2625

Descriptive statistics

Standard deviation11.314095
Coefficient of variation (CV)0.3018508
Kurtosis-0.6066883
Mean37.482409
Median Absolute Deviation (MAD)8.635
Skewness0.12625937
Sum82761.16
Variance128.00876
MonotonicityNot monotonic
2024-03-15T04:57:48.671983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
42.1 8
 
0.4%
29.35 4
 
0.2%
23.17 4
 
0.2%
29.33 4
 
0.2%
45.39 4
 
0.2%
40.3 4
 
0.2%
45.98 4
 
0.2%
52.01 4
 
0.2%
36.4 4
 
0.2%
46.73 4
 
0.2%
Other values (1696) 2164
98.0%
ValueCountFrequency (%)
12.63 1
< 0.1%
12.86 1
< 0.1%
13.01 1
< 0.1%
13.02 1
< 0.1%
13.2 1
< 0.1%
13.3 1
< 0.1%
13.45 1
< 0.1%
13.6 1
< 0.1%
13.66 1
< 0.1%
13.7 1
< 0.1%
ValueCountFrequency (%)
69.17 1
< 0.1%
68.97 1
< 0.1%
68.82 1
< 0.1%
68.7 1
< 0.1%
68.52 1
< 0.1%
68.24 1
< 0.1%
67.98 2
0.1%
67.61 1
< 0.1%
67.39 1
< 0.1%
67.13 1
< 0.1%

Interactions

2024-03-15T04:57:42.626901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:57:39.352025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:57:40.525671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:57:41.498080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:57:42.827692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:57:39.693409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:57:40.742855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:57:41.770536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:57:43.075541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:57:39.958643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:57:40.913620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:57:42.054288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:57:43.359513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:57:40.246116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:57:41.153542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:57:42.349866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T04:57:48.948342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
미세먼지(PM)2_5미세먼지(PM)10온도(섭씨)습도(퍼센트)
미세먼지(PM)2_51.0000.9830.3380.452
미세먼지(PM)100.9831.0000.3240.429
온도(섭씨)0.3380.3241.0000.527
습도(퍼센트)0.4520.4290.5271.000
2024-03-15T04:57:49.211231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
미세먼지(PM)2_5미세먼지(PM)10온도(섭씨)습도(퍼센트)
미세먼지(PM)2_51.0000.9810.1000.260
미세먼지(PM)100.9811.0000.0520.236
온도(섭씨)0.1000.0521.0000.183
습도(퍼센트)0.2600.2360.1831.000

Missing values

2024-03-15T04:57:43.718630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T04:57:44.333537image/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 00:00월드마린센터 1F8.08.026.5153.24
12023-10-01 01:00월드마린센터 1F8.09.026.4453.42
22023-10-01 02:00월드마린센터 1F8.09.026.3553.55
32023-10-01 03:00월드마린센터 1F8.09.026.3153.68
42023-10-01 04:00월드마린센터 1F9.09.026.2453.88
52023-10-01 05:00월드마린센터 1F8.09.026.1954.02
62023-10-01 06:00월드마린센터 1F10.010.026.1154.07
72023-10-01 07:00월드마린센터 1F7.08.026.0253.82
82023-10-01 08:00월드마린센터 1F8.08.026.1452.44
92023-10-01 09:00월드마린센터 1F6.07.026.350.99
시간측정소미세먼지(PM)2_5미세먼지(PM)10온도(섭씨)습도(퍼센트)
21982023-12-31 14:00월드마린센터 1F14.015.013.842.1
21992023-12-31 15:00월드마린센터 1F13.514.013.742.0
22002023-12-31 16:00월드마린센터 1F12.014.213.642.0
22012023-12-31 17:00월드마린센터 1F12.215.213.541.9
22022023-12-31 18:00월드마린센터 1F13.016.013.441.5
22032023-12-31 19:00월드마린센터 1F12.815.813.341.1
22042023-12-31 20:00월드마린센터 1F12.315.313.240.9
22052023-12-31 21:00월드마린센터 1F11.714.713.140.6
22062023-12-31 22:00월드마린센터 1F10.713.713.040.5
22072023-12-31 23:00월드마린센터 1F11.814.812.940.4