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 여수사업소의 대기정보 데이터입니다. 데이터 구성은 시간, 측정소, PM2.5수치, PM10수치, 온도, 습도로 구성되어 있습니다. 데이터 갱신주기는 반기입니다.
Author여수광양항만공사
URLhttps://www.data.go.kr/data/15105904/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 436 (9.9%) zerosZeros
미세먼지(PM)10 has 368 (8.3%) zerosZeros

Reproduction

Analysis started2024-03-14 17:58:11.136144
Analysis finished2024-03-14 17:58:15.636950
Duration4.5 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
2024-03-15T02:58:15.824198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:58:16.268701image/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
여수사업소사무실 실내
4416 

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
여수사업소사무실 실내 4416
100.0%

Length

2024-03-15T02:58:16.693636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T02:58:17.001206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
여수사업소사무실 4416
50.0%
실내 4416
50.0%

미세먼지(PM)2_5
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct74
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.064085
Minimum0
Maximum81
Zeros436
Zeros (%)9.9%
Negative0
Negative (%)0.0%
Memory size38.9 KiB
2024-03-15T02:58:17.347751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median6
Q314
95-th percentile32
Maximum81
Range81
Interquartile range (IQR)11

Descriptive statistics

Standard deviation11.127785
Coefficient of variation (CV)1.1056927
Kurtosis5.6487473
Mean10.064085
Median Absolute Deviation (MAD)5
Skewness2.0899079
Sum44443
Variance123.8276
MonotonicityNot monotonic
2024-03-15T02:58:17.832385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 436
 
9.9%
3 338
 
7.7%
4 334
 
7.6%
1 332
 
7.5%
2 317
 
7.2%
5 273
 
6.2%
6 225
 
5.1%
8 183
 
4.1%
7 172
 
3.9%
9 167
 
3.8%
Other values (64) 1639
37.1%
ValueCountFrequency (%)
0 436
9.9%
1 332
7.5%
2 317
7.2%
3 338
7.7%
4 334
7.6%
5 273
6.2%
6 225
5.1%
7 172
 
3.9%
8 183
4.1%
9 167
 
3.8%
ValueCountFrequency (%)
81 1
 
< 0.1%
78 1
 
< 0.1%
76 1
 
< 0.1%
75 1
 
< 0.1%
74 1
 
< 0.1%
72 1
 
< 0.1%
70 2
< 0.1%
69 3
0.1%
67 1
 
< 0.1%
66 1
 
< 0.1%

미세먼지(PM)10
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct83
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.469882
Minimum0
Maximum86
Zeros368
Zeros (%)8.3%
Negative0
Negative (%)0.0%
Memory size38.9 KiB
2024-03-15T02:58:18.266053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median7
Q315
95-th percentile38.25
Maximum86
Range86
Interquartile range (IQR)12

Descriptive statistics

Standard deviation13.060899
Coefficient of variation (CV)1.1387126
Kurtosis6.2240694
Mean11.469882
Median Absolute Deviation (MAD)5
Skewness2.2741075
Sum50651
Variance170.58709
MonotonicityNot monotonic
2024-03-15T02:58:18.694946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 368
 
8.3%
5 314
 
7.1%
2 304
 
6.9%
4 303
 
6.9%
3 301
 
6.8%
1 273
 
6.2%
6 216
 
4.9%
7 199
 
4.5%
8 169
 
3.8%
10 168
 
3.8%
Other values (73) 1801
40.8%
ValueCountFrequency (%)
0 368
8.3%
1 273
6.2%
2 304
6.9%
3 301
6.8%
4 303
6.9%
5 314
7.1%
6 216
4.9%
7 199
4.5%
8 169
3.8%
9 167
3.8%
ValueCountFrequency (%)
86 1
 
< 0.1%
82 1
 
< 0.1%
81 1
 
< 0.1%
80 2
< 0.1%
78 2
< 0.1%
77 2
< 0.1%
76 2
< 0.1%
75 2
< 0.1%
74 3
0.1%
73 2
< 0.1%

온도(섭씨)
Real number (ℝ)

HIGH CORRELATION 

Distinct1085
Distinct (%)24.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.96245
Minimum12.82
Maximum48.12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.9 KiB
2024-03-15T02:58:19.161646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12.82
5-th percentile18.0375
Q124.78
median26.77
Q328.27
95-th percentile30.49
Maximum48.12
Range35.3
Interquartile range (IQR)3.49

Descriptive statistics

Standard deviation3.6702206
Coefficient of variation (CV)0.1413665
Kurtosis1.4386862
Mean25.96245
Median Absolute Deviation (MAD)1.66
Skewness-1.0968721
Sum114650.18
Variance13.470519
MonotonicityNot monotonic
2024-03-15T02:58:19.491889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
27.16 20
 
0.5%
27.59 19
 
0.4%
27.8 17
 
0.4%
27.26 17
 
0.4%
27.77 16
 
0.4%
27.63 16
 
0.4%
27.22 16
 
0.4%
27.01 16
 
0.4%
27.29 15
 
0.3%
26.22 15
 
0.3%
Other values (1075) 4249
96.2%
ValueCountFrequency (%)
12.82 1
< 0.1%
12.85 1
< 0.1%
12.86 1
< 0.1%
12.91 1
< 0.1%
12.98 1
< 0.1%
13.03 2
< 0.1%
13.08 1
< 0.1%
13.1 1
< 0.1%
13.17 1
< 0.1%
13.2 1
< 0.1%
ValueCountFrequency (%)
48.12 1
< 0.1%
33.3 1
< 0.1%
33.27 1
< 0.1%
33.26 1
< 0.1%
33.13 1
< 0.1%
33.06 1
< 0.1%
32.9 1
< 0.1%
32.76 1
< 0.1%
32.75 1
< 0.1%
32.72 1
< 0.1%

습도(퍼센트)
Real number (ℝ)

HIGH CORRELATION 

Distinct2583
Distinct (%)58.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean41.652255
Minimum15.42
Maximum71.19
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.9 KiB
2024-03-15T02:58:19.743119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum15.42
5-th percentile23.99
Q133.59
median43.205
Q349.605
95-th percentile57.075
Maximum71.19
Range55.77
Interquartile range (IQR)16.015

Descriptive statistics

Standard deviation10.377281
Coefficient of variation (CV)0.24914091
Kurtosis-0.75797563
Mean41.652255
Median Absolute Deviation (MAD)7.39
Skewness-0.3016227
Sum183936.36
Variance107.68795
MonotonicityNot monotonic
2024-03-15T02:58:20.390711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
48.46 9
 
0.2%
46.54 7
 
0.2%
48.44 7
 
0.2%
39.26 6
 
0.1%
47.96 6
 
0.1%
44.93 6
 
0.1%
49.23 6
 
0.1%
46.91 6
 
0.1%
46.07 6
 
0.1%
43.88 6
 
0.1%
Other values (2573) 4351
98.5%
ValueCountFrequency (%)
15.42 1
< 0.1%
15.82 1
< 0.1%
15.83 2
< 0.1%
15.93 1
< 0.1%
15.95 1
< 0.1%
16.03 1
< 0.1%
16.25 1
< 0.1%
16.62 1
< 0.1%
17.18 1
< 0.1%
17.26 1
< 0.1%
ValueCountFrequency (%)
71.19 1
< 0.1%
66.31 1
< 0.1%
66.07 1
< 0.1%
64.98 1
< 0.1%
63.89 1
< 0.1%
62.43 1
< 0.1%
61.78 1
< 0.1%
61.77 1
< 0.1%
61.74 1
< 0.1%
61.73 1
< 0.1%

Interactions

2024-03-15T02:58:13.958516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:58:11.396567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:58:12.304556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:58:13.269929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:58:14.230771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:58:11.701622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:58:12.482136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:58:13.450802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:58:14.484524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:58:11.920233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:58:12.875232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:58:13.608829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:58:14.762583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:58:12.107883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:58:13.103351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:58:13.794623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T02:58:20.662862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
미세먼지(PM)2_5미세먼지(PM)10온도(섭씨)습도(퍼센트)
미세먼지(PM)2_51.0000.9860.2230.365
미세먼지(PM)100.9861.0000.2230.349
온도(섭씨)0.2230.2231.0000.554
습도(퍼센트)0.3650.3490.5541.000
2024-03-15T02:58:20.961818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
미세먼지(PM)2_5미세먼지(PM)10온도(섭씨)습도(퍼센트)
미세먼지(PM)2_51.0000.994-0.054-0.082
미세먼지(PM)100.9941.000-0.064-0.089
온도(섭씨)-0.054-0.0641.0000.553
습도(퍼센트)-0.082-0.0890.5531.000

Missing values

2024-03-15T02:58:15.120978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T02:58:15.487195image/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 00:00여수사업소사무실 실내0027.1952.77
12023-07-01 01:00여수사업소사무실 실내0027.2253.19
22023-07-01 02:00여수사업소사무실 실내0027.1853.6
32023-07-01 03:00여수사업소사무실 실내0027.2153.93
42023-07-01 04:00여수사업소사무실 실내0027.2254.16
52023-07-01 05:00여수사업소사무실 실내0027.2154.57
62023-07-01 06:00여수사업소사무실 실내0027.2154.98
72023-07-01 07:00여수사업소사무실 실내0027.2655.26
82023-07-01 08:00여수사업소사무실 실내0027.3155.51
92023-07-01 09:00여수사업소사무실 실내0127.3655.67
시간측정소미세먼지(PM)2_5미세먼지(PM)10온도(섭씨)습도(퍼센트)
44062023-12-31 14:00여수사업소사무실 실내202416.2634.79
44072023-12-31 15:00여수사업소사무실 실내212416.134.39
44082023-12-31 16:00여수사업소사무실 실내222315.9634.33
44092023-12-31 17:00여수사업소사무실 실내262815.8534.18
44102023-12-31 18:00여수사업소사무실 실내323715.8134.05
44112023-12-31 19:00여수사업소사무실 실내313615.7133.74
44122023-12-31 20:00여수사업소사무실 실내303515.6533.53
44132023-12-31 21:00여수사업소사무실 실내313615.5933.19
44142023-12-31 22:00여수사업소사무실 실내313815.5833.07
44152023-12-31 23:00여수사업소사무실 실내313715.5432.99