Overview

Dataset statistics

Number of variables6
Number of observations4416
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory224.4 KiB
Average record size in memory52.0 B

Variable types

DateTime1
Categorical1
Numeric4

Dataset

Description여수항 여수연안여객터미널의 대기정보 데이터입니다. 데이터 구성은 시간, 측정소, PM2.5수치, PM10수치, 온도, 습도로 구성되어 있습니다. 데이터 갱신주기는 반기입니다.
Author여수광양항만공사
URLhttps://www.data.go.kr/data/15105902/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
온도(섭씨) is highly overall correlated with 습도(퍼센트)High correlation
습도(퍼센트) is highly overall correlated with 온도(섭씨)High correlation
시간 has unique valuesUnique

Reproduction

Analysis started2024-03-15 00:05:39.058497
Analysis finished2024-03-15 00:05:44.945440
Duration5.89 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시간
Date

UNIQUE 

Distinct4416
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size34.6 KiB
Minimum2023-07-01 00:00:00
Maximum2023-12-31 23:00:00
2024-03-15T09:05:45.132940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T09:05:45.583393image/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 size34.6 KiB
여수연안여객터미널대합실 실내
4416 

Length

Max length15
Median length15
Mean length15
Min length15

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row여수연안여객터미널대합실 실내
2nd row여수연안여객터미널대합실 실내
3rd row여수연안여객터미널대합실 실내
4th row여수연안여객터미널대합실 실내
5th row여수연안여객터미널대합실 실내

Common Values

ValueCountFrequency (%)
여수연안여객터미널대합실 실내 4416
100.0%

Length

2024-03-15T09:05:46.014547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T09:05:46.310410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
여수연안여객터미널대합실 4416
50.0%
실내 4416
50.0%

미세먼지(PM)2_5
Real number (ℝ)

HIGH CORRELATION 

Distinct85
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.379755
Minimum0
Maximum266
Zeros21
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size38.9 KiB
2024-03-15T09:05:46.512797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q19
median16
Q328
95-th percentile45
Maximum266
Range266
Interquartile range (IQR)19

Descriptive statistics

Standard deviation14.625813
Coefficient of variation (CV)0.75469546
Kurtosis24.593331
Mean19.379755
Median Absolute Deviation (MAD)9
Skewness2.5393534
Sum85581
Variance213.91442
MonotonicityNot monotonic
2024-03-15T09:05:46.877036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8 179
 
4.1%
11 176
 
4.0%
5 166
 
3.8%
12 163
 
3.7%
4 163
 
3.7%
9 159
 
3.6%
6 159
 
3.6%
14 149
 
3.4%
7 145
 
3.3%
10 142
 
3.2%
Other values (75) 2815
63.7%
ValueCountFrequency (%)
0 21
 
0.5%
1 62
 
1.4%
2 79
1.8%
3 118
2.7%
4 163
3.7%
5 166
3.8%
6 159
3.6%
7 145
3.3%
8 179
4.1%
9 159
3.6%
ValueCountFrequency (%)
266 1
< 0.1%
189 1
< 0.1%
132 1
< 0.1%
128 1
< 0.1%
112 1
< 0.1%
111 1
< 0.1%
104 1
< 0.1%
86 1
< 0.1%
81 1
< 0.1%
77 2
< 0.1%

미세먼지(PM)10
Real number (ℝ)

HIGH CORRELATION 

Distinct100
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.196558
Minimum0
Maximum278
Zeros9
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size38.9 KiB
2024-03-15T09:05:47.271278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q110.75
median18
Q331
95-th percentile57
Maximum278
Range278
Interquartile range (IQR)20.25

Descriptive statistics

Standard deviation17.89668
Coefficient of variation (CV)0.77152307
Kurtosis14.047827
Mean23.196558
Median Absolute Deviation (MAD)9
Skewness2.2016093
Sum102436
Variance320.29114
MonotonicityNot monotonic
2024-03-15T09:05:47.732047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9 170
 
3.8%
13 153
 
3.5%
16 149
 
3.4%
7 146
 
3.3%
11 145
 
3.3%
14 143
 
3.2%
8 141
 
3.2%
15 139
 
3.1%
18 139
 
3.1%
17 138
 
3.1%
Other values (90) 2953
66.9%
ValueCountFrequency (%)
0 9
 
0.2%
1 39
 
0.9%
2 47
 
1.1%
3 69
1.6%
4 101
2.3%
5 116
2.6%
6 135
3.1%
7 146
3.3%
8 141
3.2%
9 170
3.8%
ValueCountFrequency (%)
278 1
< 0.1%
193 1
< 0.1%
175 1
< 0.1%
147 1
< 0.1%
138 1
< 0.1%
122 1
< 0.1%
118 1
< 0.1%
111 1
< 0.1%
103 1
< 0.1%
94 1
< 0.1%

온도(섭씨)
Real number (ℝ)

HIGH CORRELATION 

Distinct895
Distinct (%)20.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.323372
Minimum14.08
Maximum66.72
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.9 KiB
2024-03-15T09:05:48.147142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14.08
5-th percentile19.085
Q123.87
median26.11
Q327.46
95-th percentile29.04
Maximum66.72
Range52.64
Interquartile range (IQR)3.59

Descriptive statistics

Standard deviation3.190734
Coefficient of variation (CV)0.12599957
Kurtosis10.311443
Mean25.323372
Median Absolute Deviation (MAD)1.69
Skewness-0.11614925
Sum111828.01
Variance10.180784
MonotonicityNot monotonic
2024-03-15T09:05:48.609656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
27.36 23
 
0.5%
27.16 23
 
0.5%
27.18 23
 
0.5%
27.3 22
 
0.5%
27.25 18
 
0.4%
27.32 18
 
0.4%
27.02 18
 
0.4%
27.26 18
 
0.4%
27.09 17
 
0.4%
27.77 17
 
0.4%
Other values (885) 4219
95.5%
ValueCountFrequency (%)
14.08 1
< 0.1%
14.32 1
< 0.1%
14.34 1
< 0.1%
14.35 1
< 0.1%
14.36 1
< 0.1%
14.52 1
< 0.1%
14.69 1
< 0.1%
14.7 1
< 0.1%
14.72 1
< 0.1%
14.76 1
< 0.1%
ValueCountFrequency (%)
66.72 1
< 0.1%
61.5 1
< 0.1%
30.72 1
< 0.1%
30.68 1
< 0.1%
30.65 1
< 0.1%
30.59 1
< 0.1%
30.45 1
< 0.1%
30.32 1
< 0.1%
30.27 1
< 0.1%
30.17 1
< 0.1%

습도(퍼센트)
Real number (ℝ)

HIGH CORRELATION 

Distinct3060
Distinct (%)69.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean48.617849
Minimum9.66
Maximum79.53
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.9 KiB
2024-03-15T09:05:49.040808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9.66
5-th percentile18.3275
Q132.955
median51.995
Q364.56
95-th percentile72.5175
Maximum79.53
Range69.87
Interquartile range (IQR)31.605

Descriptive statistics

Standard deviation18.150975
Coefficient of variation (CV)0.37333975
Kurtosis-1.1841301
Mean48.617849
Median Absolute Deviation (MAD)14.605
Skewness-0.33826526
Sum214696.42
Variance329.4579
MonotonicityNot monotonic
2024-03-15T09:05:49.494255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
64.46 7
 
0.2%
69.79 5
 
0.1%
57.53 5
 
0.1%
64.57 5
 
0.1%
32.94 5
 
0.1%
62.26 5
 
0.1%
52.5 5
 
0.1%
63.93 5
 
0.1%
58.07 5
 
0.1%
22.6 5
 
0.1%
Other values (3050) 4364
98.8%
ValueCountFrequency (%)
9.66 1
< 0.1%
9.77 1
< 0.1%
9.81 1
< 0.1%
9.83 1
< 0.1%
9.87 1
< 0.1%
9.88 1
< 0.1%
10.11 1
< 0.1%
10.21 1
< 0.1%
10.25 1
< 0.1%
10.35 2
< 0.1%
ValueCountFrequency (%)
79.53 1
< 0.1%
78.5 1
< 0.1%
78.43 1
< 0.1%
78.38 1
< 0.1%
78.27 1
< 0.1%
77.82 1
< 0.1%
77.68 1
< 0.1%
77.55 1
< 0.1%
77.16 1
< 0.1%
77.07 1
< 0.1%

Interactions

2024-03-15T09:05:43.279482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T09:05:39.500057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T09:05:40.742483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T09:05:42.118864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T09:05:43.585329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T09:05:39.766335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T09:05:41.111641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T09:05:42.443132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T09:05:43.868081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T09:05:40.200611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T09:05:41.473981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T09:05:42.733146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T09:05:44.153900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T09:05:40.464230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T09:05:41.777738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T09:05:42.996574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T09:05:49.913539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
미세먼지(PM)2_5미세먼지(PM)10온도(섭씨)습도(퍼센트)
미세먼지(PM)2_51.0000.9050.1230.170
미세먼지(PM)100.9051.0000.1080.145
온도(섭씨)0.1230.1081.0000.588
습도(퍼센트)0.1700.1450.5881.000
2024-03-15T09:05:50.186279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
미세먼지(PM)2_5미세먼지(PM)10온도(섭씨)습도(퍼센트)
미세먼지(PM)2_51.0000.991-0.0550.101
미세먼지(PM)100.9911.000-0.0590.104
온도(섭씨)-0.055-0.0591.0000.568
습도(퍼센트)0.1010.1040.5681.000

Missing values

2024-03-15T09:05:44.462466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T09:05:44.817545image/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)
02023-07-01 00:00여수연안여객터미널대합실 실내151726.4973.07
12023-07-01 01:00여수연안여객터미널대합실 실내171926.4973.17
22023-07-01 02:00여수연안여객터미널대합실 실내151526.5173.37
32023-07-01 03:00여수연안여객터미널대합실 실내141726.5373.66
42023-07-01 04:00여수연안여객터미널대합실 실내141726.773.33
52023-07-01 05:00여수연안여객터미널대합실 실내171926.7874.22
62023-07-01 06:00여수연안여객터미널대합실 실내232626.8875.32
72023-07-01 07:00여수연안여객터미널대합실 실내192126.872.4
82023-07-01 08:00여수연안여객터미널대합실 실내172026.9471.33
92023-07-01 09:00여수연안여객터미널대합실 실내303226.9870.23
시간측정소미세먼지(PM)2_5미세먼지(PM)10온도(섭씨)습도(퍼센트)
44062023-12-31 14:00여수연안여객터미널대합실 실내212524.1924.57
44072023-12-31 15:00여수연안여객터미널대합실 실내222523.326.52
44082023-12-31 16:00여수연안여객터미널대합실 실내232521.6229.24
44092023-12-31 17:00여수연안여객터미널대합실 실내273019.6828.78
44102023-12-31 18:00여수연안여객터미널대합실 실내303619.2128.78
44112023-12-31 19:00여수연안여객터미널대합실 실내354418.9128.91
44122023-12-31 20:00여수연안여객터미널대합실 실내375918.7829.18
44132023-12-31 21:00여수연안여객터미널대합실 실내405618.4829.27
44142023-12-31 22:00여수연안여객터미널대합실 실내415718.4629.43
44152023-12-31 23:00여수연안여객터미널대합실 실내435918.3930.18