Overview

Dataset statistics

Number of variables6
Number of observations2208
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory112.3 KiB
Average record size in memory52.1 B

Variable types

DateTime1
Categorical1
Numeric4

Dataset

Description광양항 석유화학부두의 대기정보 데이터입니다. 데이터 구성은 시간, 측정소, PM2.5수치, PM10수치, 온도, 습도로 구성되어 있습니다.데이터 갱신주기는 분기입니다.
Author여수광양항만공사
URLhttps://www.data.go.kr/data/15090372/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
미세먼지(PM)2_5 has 254 (11.5%) zerosZeros
미세먼지(PM)10 has 161 (7.3%) zerosZeros

Reproduction

Analysis started2023-12-12 01:23:21.408223
Analysis finished2023-12-12 01:23:23.906719
Duration2.5 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
Minimum2023-07-01 00:00:00
Maximum2023-09-30 23:00:00
2023-12-12T10:23:23.997178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:23:24.175857image/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
석유화학부두 실외
2208 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
석유화학부두 실외 2208
100.0%

Length

2023-12-12T10:23:24.343329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:23:24.472707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
석유화학부두 2208
50.0%
실외 2208
50.0%

미세먼지(PM)2_5
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct45
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.4189312
Minimum0
Maximum58
Zeros254
Zeros (%)11.5%
Negative0
Negative (%)0.0%
Memory size19.5 KiB
2023-12-12T10:23:24.625620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median5
Q310
95-th percentile23
Maximum58
Range58
Interquartile range (IQR)8

Descriptive statistics

Standard deviation7.704602
Coefficient of variation (CV)1.0385057
Kurtosis3.7832447
Mean7.4189312
Median Absolute Deviation (MAD)4
Skewness1.7582193
Sum16381
Variance59.360892
MonotonicityNot monotonic
2023-12-12T10:23:24.782352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
0 254
11.5%
1 233
 
10.6%
2 192
 
8.7%
3 181
 
8.2%
4 165
 
7.5%
5 139
 
6.3%
8 128
 
5.8%
6 120
 
5.4%
9 104
 
4.7%
7 96
 
4.3%
Other values (35) 596
27.0%
ValueCountFrequency (%)
0 254
11.5%
1 233
10.6%
2 192
8.7%
3 181
8.2%
4 165
7.5%
5 139
6.3%
6 120
5.4%
7 96
 
4.3%
8 128
5.8%
9 104
4.7%
ValueCountFrequency (%)
58 1
 
< 0.1%
47 1
 
< 0.1%
46 1
 
< 0.1%
42 2
 
0.1%
41 2
 
0.1%
40 1
 
< 0.1%
38 1
 
< 0.1%
37 6
0.3%
36 7
0.3%
35 3
0.1%

미세먼지(PM)10
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct55
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.7785326
Minimum0
Maximum79
Zeros161
Zeros (%)7.3%
Negative0
Negative (%)0.0%
Memory size19.5 KiB
2023-12-12T10:23:24.943365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median6
Q312
95-th percentile26
Maximum79
Range79
Interquartile range (IQR)9

Descriptive statistics

Standard deviation8.8819653
Coefficient of variation (CV)1.0117825
Kurtosis6.0511836
Mean8.7785326
Median Absolute Deviation (MAD)4
Skewness2.0345209
Sum19383
Variance78.889308
MonotonicityNot monotonic
2023-12-12T10:23:25.129434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 193
 
8.7%
1 183
 
8.3%
3 181
 
8.2%
0 161
 
7.3%
4 151
 
6.8%
5 149
 
6.7%
6 125
 
5.7%
9 118
 
5.3%
7 114
 
5.2%
8 106
 
4.8%
Other values (45) 727
32.9%
ValueCountFrequency (%)
0 161
7.3%
1 183
8.3%
2 193
8.7%
3 181
8.2%
4 151
6.8%
5 149
6.7%
6 125
5.7%
7 114
5.2%
8 106
4.8%
9 118
5.3%
ValueCountFrequency (%)
79 1
 
< 0.1%
62 1
 
< 0.1%
57 1
 
< 0.1%
56 1
 
< 0.1%
55 1
 
< 0.1%
54 2
0.1%
49 1
 
< 0.1%
48 2
0.1%
47 1
 
< 0.1%
46 3
0.1%

온도(섭씨)
Real number (ℝ)

HIGH CORRELATION 

Distinct829
Distinct (%)37.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.115987
Minimum22
Maximum90.84
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size19.5 KiB
2023-12-12T10:23:25.319572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum22
5-th percentile24.72
Q126.63
median28.27
Q330.885
95-th percentile35.896
Maximum90.84
Range68.84
Interquartile range (IQR)4.255

Descriptive statistics

Standard deviation3.9877642
Coefficient of variation (CV)0.13696132
Kurtosis54.418438
Mean29.115987
Median Absolute Deviation (MAD)1.97
Skewness4.3409621
Sum64288.1
Variance15.902263
MonotonicityNot monotonic
2023-12-12T10:23:25.520663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
26.2 11
 
0.5%
27.0 11
 
0.5%
27.21 10
 
0.5%
26.36 10
 
0.5%
26.26 10
 
0.5%
27.73 9
 
0.4%
26.13 9
 
0.4%
28.24 9
 
0.4%
27.7 9
 
0.4%
28.4 8
 
0.4%
Other values (819) 2112
95.7%
ValueCountFrequency (%)
22.0 1
 
< 0.1%
22.16 1
 
< 0.1%
22.62 1
 
< 0.1%
22.75 1
 
< 0.1%
22.79 2
0.1%
22.81 2
0.1%
22.84 4
0.2%
22.87 1
 
< 0.1%
22.89 1
 
< 0.1%
22.92 1
 
< 0.1%
ValueCountFrequency (%)
90.84 1
< 0.1%
84.59 1
< 0.1%
80.64 1
< 0.1%
39.92 2
0.1%
39.82 1
< 0.1%
39.52 1
< 0.1%
39.45 1
< 0.1%
39.32 1
< 0.1%
39.25 1
< 0.1%
39.22 1
< 0.1%

습도(퍼센트)
Real number (ℝ)

HIGH CORRELATION 

Distinct1710
Distinct (%)77.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean73.62264
Minimum42.43
Maximum94.15
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size19.5 KiB
2023-12-12T10:23:25.705813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum42.43
5-th percentile52.8705
Q164.6975
median73.99
Q383.855
95-th percentile90.71
Maximum94.15
Range51.72
Interquartile range (IQR)19.1575

Descriptive statistics

Standard deviation12.004249
Coefficient of variation (CV)0.16305105
Kurtosis-0.83761486
Mean73.62264
Median Absolute Deviation (MAD)9.575
Skewness-0.29591504
Sum162558.79
Variance144.10199
MonotonicityNot monotonic
2023-12-12T10:23:25.884449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
56.9 5
 
0.2%
90.02 5
 
0.2%
87.19 4
 
0.2%
90.29 4
 
0.2%
85.95 4
 
0.2%
61.01 4
 
0.2%
84.46 4
 
0.2%
80.74 4
 
0.2%
85.72 4
 
0.2%
81.14 4
 
0.2%
Other values (1700) 2166
98.1%
ValueCountFrequency (%)
42.43 1
< 0.1%
42.88 1
< 0.1%
43.16 1
< 0.1%
43.19 1
< 0.1%
43.25 1
< 0.1%
43.81 1
< 0.1%
44.51 1
< 0.1%
44.7 1
< 0.1%
44.92 1
< 0.1%
45.16 1
< 0.1%
ValueCountFrequency (%)
94.15 1
< 0.1%
94.08 1
< 0.1%
93.83 1
< 0.1%
93.82 1
< 0.1%
93.79 1
< 0.1%
93.76 1
< 0.1%
93.71 1
< 0.1%
93.66 1
< 0.1%
93.64 1
< 0.1%
93.61 1
< 0.1%

Interactions

2023-12-12T10:23:23.223819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:23:21.705978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:23:22.243578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:23:22.750710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:23:23.368491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:23:21.841455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:23:22.362080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:23:22.861102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:23:23.487235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:23:21.989031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:23:22.472973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:23:22.981262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:23:23.610203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:23:22.131734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:23:22.595598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:23:23.112734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T10:23:25.994650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
미세먼지(PM)2_5미세먼지(PM)10온도(섭씨)습도(퍼센트)
미세먼지(PM)2_51.0000.9430.3490.429
미세먼지(PM)100.9431.0000.2190.293
온도(섭씨)0.3490.2191.0000.674
습도(퍼센트)0.4290.2930.6741.000
2023-12-12T10:23:26.093507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
미세먼지(PM)2_5미세먼지(PM)10온도(섭씨)습도(퍼센트)
미세먼지(PM)2_51.0000.9820.320-0.342
미세먼지(PM)100.9821.0000.303-0.325
온도(섭씨)0.3200.3031.000-0.570
습도(퍼센트)-0.342-0.325-0.5701.000

Missing values

2023-12-12T10:23:23.744155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T10:23:23.859004image/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 00:00석유화학부두 실외0090.8491.21
12023-07-01 01:00석유화학부두 실외0024.9391.52
22023-07-01 02:00석유화학부두 실외0024.9491.63
32023-07-01 03:00석유화학부두 실외0124.9891.84
42023-07-01 04:00석유화학부두 실외0125.0791.88
52023-07-01 05:00석유화학부두 실외0025.1891.85
62023-07-01 06:00석유화학부두 실외0025.2491.87
72023-07-01 07:00석유화학부두 실외2225.1291.71
82023-07-01 08:00석유화학부두 실외2324.7290.68
92023-07-01 09:00석유화학부두 실외2324.890.76
시간측정소미세먼지(PM)2_5미세먼지(PM)10온도(섭씨)습도(퍼센트)
21982023-09-30 14:00석유화학부두 실외161628.7257.05
21992023-09-30 15:00석유화학부두 실외5628.7954.25
22002023-09-30 16:00석유화학부두 실외4527.8652.44
22012023-09-30 17:00석유화학부두 실외2327.2553.2
22022023-09-30 18:00석유화학부두 실외0027.0254.89
22032023-09-30 19:00석유화학부두 실외4425.9856.39
22042023-09-30 20:00석유화학부두 실외4424.9158.41
22052023-09-30 21:00석유화학부두 실외4624.1260.16
22062023-09-30 22:00석유화학부두 실외4423.5261.01
22072023-09-30 23:00석유화학부두 실외151824.6554.95