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 여수엑스포터미널의 대기정보 데이터입니다. 데이터 구성은 시간, 측정소, PM2.5수치, PM10수치, 온도, 습도로 구성되어 있습니다. 데이터 갱신주기는 반기입니다.
Author여수광양항만공사
URLhttps://www.data.go.kr/data/15105896/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 started2024-03-14 13:08:43.906563
Analysis finished2024-03-14 13:08:49.067232
Duration5.16 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
2024-03-14T22:08:49.254343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:08:49.695850image/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
여수엑스포터미널 대합실 실내
4416 

Length

Max length15
Median length15
Mean length15
Min length15

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row여수엑스포터미널 대합실 실내
2nd row여수엑스포터미널 대합실 실내
3rd row여수엑스포터미널 대합실 실내
4th row여수엑스포터미널 대합실 실내
5th row여수엑스포터미널 대합실 실내

Common Values

ValueCountFrequency (%)
여수엑스포터미널 대합실 실내 4416
100.0%

Length

2024-03-14T22:08:50.114803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T22:08:50.426591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
여수엑스포터미널 4416
33.3%
대합실 4416
33.3%
실내 4416
33.3%

미세먼지(PM)2_5
Real number (ℝ)

HIGH CORRELATION 

Distinct59
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.282156
Minimum0
Maximum80
Zeros35
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size38.9 KiB
2024-03-14T22:08:50.777659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q16
median11
Q319
95-th percentile37
Maximum80
Range80
Interquartile range (IQR)13

Descriptive statistics

Standard deviation10.944175
Coefficient of variation (CV)0.7662831
Kurtosis1.2660851
Mean14.282156
Median Absolute Deviation (MAD)6
Skewness1.223121
Sum63070
Variance119.77496
MonotonicityNot monotonic
2024-03-14T22:08:51.235359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8 231
 
5.2%
10 230
 
5.2%
5 226
 
5.1%
6 221
 
5.0%
3 216
 
4.9%
9 215
 
4.9%
7 215
 
4.9%
11 207
 
4.7%
4 196
 
4.4%
12 179
 
4.1%
Other values (49) 2280
51.6%
ValueCountFrequency (%)
0 35
 
0.8%
1 129
2.9%
2 146
3.3%
3 216
4.9%
4 196
4.4%
5 226
5.1%
6 221
5.0%
7 215
4.9%
8 231
5.2%
9 215
4.9%
ValueCountFrequency (%)
80 1
 
< 0.1%
66 2
 
< 0.1%
62 1
 
< 0.1%
56 1
 
< 0.1%
55 3
0.1%
54 1
 
< 0.1%
52 4
0.1%
51 4
0.1%
50 4
0.1%
49 7
0.2%

미세먼지(PM)10
Real number (ℝ)

HIGH CORRELATION 

Distinct78
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.278306
Minimum0
Maximum91
Zeros16
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size38.9 KiB
2024-03-14T22:08:51.661440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q18
median13
Q322
95-th percentile47
Maximum91
Range91
Interquartile range (IQR)14

Descriptive statistics

Standard deviation13.410928
Coefficient of variation (CV)0.77617146
Kurtosis2.1445139
Mean17.278306
Median Absolute Deviation (MAD)7
Skewness1.4738989
Sum76301
Variance179.85299
MonotonicityNot monotonic
2024-03-14T22:08:51.999628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8 215
 
4.9%
9 212
 
4.8%
12 210
 
4.8%
7 200
 
4.5%
6 193
 
4.4%
10 193
 
4.4%
11 193
 
4.4%
5 185
 
4.2%
13 172
 
3.9%
15 158
 
3.6%
Other values (68) 2485
56.3%
ValueCountFrequency (%)
0 16
 
0.4%
1 57
 
1.3%
2 104
2.4%
3 128
2.9%
4 147
3.3%
5 185
4.2%
6 193
4.4%
7 200
4.5%
8 215
4.9%
9 212
4.8%
ValueCountFrequency (%)
91 1
 
< 0.1%
81 1
 
< 0.1%
79 1
 
< 0.1%
77 1
 
< 0.1%
74 1
 
< 0.1%
73 1
 
< 0.1%
72 1
 
< 0.1%
71 2
< 0.1%
70 3
0.1%
68 4
0.1%

온도(섭씨)
Real number (ℝ)

HIGH CORRELATION 

Distinct1164
Distinct (%)26.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.63108
Minimum12.95
Maximum70.82
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.9 KiB
2024-03-14T22:08:52.231923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12.95
5-th percentile18.48
Q124.36
median28.035
Q329.54
95-th percentile31.59
Maximum70.82
Range57.87
Interquartile range (IQR)5.18

Descriptive statistics

Standard deviation4.1986063
Coefficient of variation (CV)0.15765813
Kurtosis2.7311769
Mean26.63108
Median Absolute Deviation (MAD)2.075
Skewness-0.60831295
Sum117602.85
Variance17.628295
MonotonicityNot monotonic
2024-03-14T22:08:52.471353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
29.47 19
 
0.4%
29.13 18
 
0.4%
28.67 18
 
0.4%
29.92 18
 
0.4%
28.55 16
 
0.4%
29.3 16
 
0.4%
29.75 16
 
0.4%
28.59 15
 
0.3%
29.44 15
 
0.3%
28.62 15
 
0.3%
Other values (1154) 4250
96.2%
ValueCountFrequency (%)
12.95 1
< 0.1%
13.18 1
< 0.1%
13.38 1
< 0.1%
13.53 1
< 0.1%
13.79 1
< 0.1%
13.83 1
< 0.1%
13.84 1
< 0.1%
13.89 1
< 0.1%
13.97 1
< 0.1%
13.99 1
< 0.1%
ValueCountFrequency (%)
70.82 1
< 0.1%
35.65 1
< 0.1%
35.26 1
< 0.1%
35.11 1
< 0.1%
34.94 1
< 0.1%
34.93 1
< 0.1%
34.58 1
< 0.1%
34.48 1
< 0.1%
34.37 1
< 0.1%
34.29 1
< 0.1%

습도(퍼센트)
Real number (ℝ)

HIGH CORRELATION 

Distinct3010
Distinct (%)68.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean45.823852
Minimum11.95
Maximum79.67
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.9 KiB
2024-03-14T22:08:52.733182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11.95
5-th percentile20.9175
Q132.885
median47.945
Q358.12
95-th percentile68.5225
Maximum79.67
Range67.72
Interquartile range (IQR)25.235

Descriptive statistics

Standard deviation15.317372
Coefficient of variation (CV)0.33426636
Kurtosis-1.0604908
Mean45.823852
Median Absolute Deviation (MAD)12.14
Skewness-0.17473454
Sum202358.13
Variance234.62189
MonotonicityNot monotonic
2024-03-14T22:08:53.310415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
55.39 8
 
0.2%
59.81 6
 
0.1%
50.93 6
 
0.1%
34.79 5
 
0.1%
62.67 5
 
0.1%
54.11 5
 
0.1%
23.0 5
 
0.1%
52.36 5
 
0.1%
51.56 5
 
0.1%
52.18 5
 
0.1%
Other values (3000) 4361
98.8%
ValueCountFrequency (%)
11.95 1
< 0.1%
12.64 1
< 0.1%
12.96 1
< 0.1%
12.97 1
< 0.1%
13.0 1
< 0.1%
13.09 1
< 0.1%
13.45 1
< 0.1%
13.65 1
< 0.1%
13.76 1
< 0.1%
14.33 1
< 0.1%
ValueCountFrequency (%)
79.67 1
< 0.1%
79.5 1
< 0.1%
78.64 1
< 0.1%
74.65 1
< 0.1%
74.58 1
< 0.1%
74.43 1
< 0.1%
74.4 1
< 0.1%
74.28 1
< 0.1%
74.23 1
< 0.1%
74.17 1
< 0.1%

Interactions

2024-03-14T22:08:47.384200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:08:44.171753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:08:45.271027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:08:46.319692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:08:47.667727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:08:44.456589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:08:45.545473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:08:46.599192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:08:47.931718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:08:44.718668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:08:45.792344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:08:46.851945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:08:48.198492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:08:44.990997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:08:46.053402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:08:47.114134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T22:08:53.589073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
미세먼지(PM)2_5미세먼지(PM)10온도(섭씨)습도(퍼센트)
미세먼지(PM)2_51.0000.9850.1780.282
미세먼지(PM)100.9851.0000.1990.269
온도(섭씨)0.1780.1991.0000.700
습도(퍼센트)0.2820.2690.7001.000
2024-03-14T22:08:53.849613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
미세먼지(PM)2_5미세먼지(PM)10온도(섭씨)습도(퍼센트)
미세먼지(PM)2_51.0000.9870.0540.036
미세먼지(PM)100.9871.0000.0400.037
온도(섭씨)0.0540.0401.0000.592
습도(퍼센트)0.0360.0370.5921.000

Missing values

2024-03-14T22:08:48.566510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T22:08:48.920803image/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 00:00여수엑스포터미널 대합실 실내283726.6478.64
12023-07-01 01:00여수엑스포터미널 대합실 실내141627.0274.65
22023-07-01 02:00여수엑스포터미널 대합실 실내131827.0672.9
32023-07-01 03:00여수엑스포터미널 대합실 실내121727.0972.93
42023-07-01 04:00여수엑스포터미널 대합실 실내131527.1873.47
52023-07-01 05:00여수엑스포터미널 대합실 실내161927.1973.51
62023-07-01 06:00여수엑스포터미널 대합실 실내131627.1673.53
72023-07-01 07:00여수엑스포터미널 대합실 실내121227.1573.15
82023-07-01 08:00여수엑스포터미널 대합실 실내131627.1272.7
92023-07-01 09:00여수엑스포터미널 대합실 실내161827.0872.48
시간측정소미세먼지(PM)2_5미세먼지(PM)10온도(섭씨)습도(퍼센트)
44062023-12-31 14:00여수엑스포터미널 대합실 실내212521.4532.75
44072023-12-31 15:00여수엑스포터미널 대합실 실내202320.8231.35
44082023-12-31 16:00여수엑스포터미널 대합실 실내191919.8732.58
44092023-12-31 17:00여수엑스포터미널 대합실 실내171819.2232.53
44102023-12-31 18:00여수엑스포터미널 대합실 실내191920.1731.85
44112023-12-31 19:00여수엑스포터미널 대합실 실내202120.8131.02
44122023-12-31 20:00여수엑스포터미널 대합실 실내222421.4429.65
44132023-12-31 21:00여수엑스포터미널 대합실 실내232521.6628.27
44142023-12-31 22:00여수엑스포터미널 대합실 실내242621.9228.24
44152023-12-31 23:00여수엑스포터미널 대합실 실내262922.2528.13