Overview

Dataset statistics

Number of variables8
Number of observations129
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.1 KiB
Average record size in memory72.0 B

Variable types

Categorical2
Numeric6

Dataset

Description전북특별자치도 지역별 대기질 현황"미세먼지PM-10(㎍/㎥)" "오존O₃(ppm)" "이산화질소NO₂(ppm)" "일산화탄소CO(ppm)" "아황산가스SO₂(ppm)" "초미세먼지PM-2.5(㎍/㎥)"
Author전북특별자치도
URLhttps://www.data.go.kr/data/15116193/fileData.do

Alerts

미세먼지 is highly overall correlated with 이산화질소 and 2 other fieldsHigh correlation
이산화질소 is highly overall correlated with 미세먼지 and 3 other fieldsHigh correlation
일산화탄소 is highly overall correlated with 미세먼지 and 2 other fieldsHigh correlation
초미세먼지 is highly overall correlated with 미세먼지 and 2 other fieldsHigh correlation
측정소 is highly overall correlated with 이산화질소High correlation
미세먼지 has 16 (12.4%) zerosZeros
오존 has 18 (14.0%) zerosZeros
이산화질소 has 15 (11.6%) zerosZeros
일산화탄소 has 15 (11.6%) zerosZeros
아황산가스 has 15 (11.6%) zerosZeros
초미세먼지 has 16 (12.4%) zerosZeros

Reproduction

Analysis started2024-03-14 13:57:05.167108
Analysis finished2024-03-14 13:57:14.735054
Duration9.57 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연도
Categorical

Distinct3
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2022
43 
2021
43 
2020
43 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022
2nd row2022
3rd row2022
4th row2022
5th row2022

Common Values

ValueCountFrequency (%)
2022 43
33.3%
2021 43
33.3%
2020 43
33.3%

Length

2024-03-14T22:57:14.848278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T22:57:15.022341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022 43
33.3%
2021 43
33.3%
2020 43
33.3%

측정소
Categorical

HIGH CORRELATION 

Distinct43
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
전주시 노송동
 
3
군산시 소룡동
 
3
전주시 송천동
 
3
전주시 여의동
 
3
전주시 팔복동
 
3
Other values (38)
114 

Length

Max length8
Median length7
Mean length7.0232558
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row전주시 노송동
2nd row전주시 삼천동
3rd row전주시 송천동
4th row전주시 여의동
5th row전주시 팔복동

Common Values

ValueCountFrequency (%)
전주시 노송동 3
 
2.3%
군산시 소룡동 3
 
2.3%
전주시 송천동 3
 
2.3%
전주시 여의동 3
 
2.3%
전주시 팔복동 3
 
2.3%
전주시 혁신동 3
 
2.3%
전주시 효자동 3
 
2.3%
전주시 서신동 3
 
2.3%
군산시 비응도 3
 
2.3%
군산시 사정동 3
 
2.3%
Other values (33) 99
76.7%

Length

2024-03-14T22:57:15.214791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
익산시 27
 
10.5%
전주시 24
 
9.3%
군산시 18
 
7.0%
완주군 9
 
3.5%
정읍시 9
 
3.5%
부안군 6
 
2.3%
남원시 6
 
2.3%
고창군 6
 
2.3%
김제시 6
 
2.3%
임실군 6
 
2.3%
Other values (47) 141
54.7%

미세먼지
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct24
Distinct (%)18.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30.333333
Minimum0
Maximum99
Zeros16
Zeros (%)12.4%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-03-14T22:57:15.431563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q129
median33
Q336
95-th percentile43
Maximum99
Range99
Interquartile range (IQR)7

Descriptive statistics

Standard deviation13.529674
Coefficient of variation (CV)0.44603321
Kurtosis5.7798639
Mean30.333333
Median Absolute Deviation (MAD)4
Skewness-0.27516175
Sum3913
Variance183.05208
MonotonicityNot monotonic
2024-03-14T22:57:15.656942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
0 16
12.4%
32 13
 
10.1%
34 13
 
10.1%
35 11
 
8.5%
29 8
 
6.2%
36 8
 
6.2%
38 7
 
5.4%
33 7
 
5.4%
37 6
 
4.7%
43 5
 
3.9%
Other values (14) 35
27.1%
ValueCountFrequency (%)
0 16
12.4%
24 1
 
0.8%
25 1
 
0.8%
26 4
 
3.1%
27 3
 
2.3%
28 4
 
3.1%
29 8
6.2%
30 4
 
3.1%
31 5
 
3.9%
32 13
10.1%
ValueCountFrequency (%)
99 1
 
0.8%
49 1
 
0.8%
44 1
 
0.8%
43 5
3.9%
42 2
 
1.6%
41 2
 
1.6%
40 3
2.3%
39 3
2.3%
38 7
5.4%
37 6
4.7%

오존
Real number (ℝ)

ZEROS 

Distinct83
Distinct (%)64.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.028317054
Minimum0
Maximum0.0415
Zeros18
Zeros (%)14.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-03-14T22:57:15.964735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.0296
median0.0323
Q30.0346
95-th percentile0.03838
Maximum0.0415
Range0.0415
Interquartile range (IQR)0.005

Descriptive statistics

Standard deviation0.011897361
Coefficient of variation (CV)0.42014827
Kurtosis1.7607633
Mean0.028317054
Median Absolute Deviation (MAD)0.0025
Skewness-1.7953567
Sum3.6529
Variance0.00014154721
MonotonicityNot monotonic
2024-03-14T22:57:16.221297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 18
 
14.0%
0.031 5
 
3.9%
0.0333 4
 
3.1%
0.0332 3
 
2.3%
0.0317 3
 
2.3%
0.0336 3
 
2.3%
0.0347 3
 
2.3%
0.033 2
 
1.6%
0.0307 2
 
1.6%
0.0322 2
 
1.6%
Other values (73) 84
65.1%
ValueCountFrequency (%)
0.0 18
14.0%
0.0216 1
 
0.8%
0.0232 1
 
0.8%
0.0237 1
 
0.8%
0.0253 1
 
0.8%
0.0274 1
 
0.8%
0.0277 1
 
0.8%
0.0279 1
 
0.8%
0.028 1
 
0.8%
0.0285 1
 
0.8%
ValueCountFrequency (%)
0.0415 1
0.8%
0.0397 1
0.8%
0.0394 1
0.8%
0.0392 1
0.8%
0.0391 1
0.8%
0.0389 1
0.8%
0.0387 1
0.8%
0.0379 1
0.8%
0.0378 2
1.6%
0.0375 1
0.8%

이산화질소
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct71
Distinct (%)55.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0094108527
Minimum0
Maximum0.0194
Zeros15
Zeros (%)11.6%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-03-14T22:57:16.476435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.0077
median0.0095
Q30.0124
95-th percentile0.01526
Maximum0.0194
Range0.0194
Interquartile range (IQR)0.0047

Descriptive statistics

Standard deviation0.0044403554
Coefficient of variation (CV)0.47183348
Kurtosis0.3659048
Mean0.0094108527
Median Absolute Deviation (MAD)0.0026
Skewness-0.62371712
Sum1.214
Variance1.9716756 × 10-5
MonotonicityNot monotonic
2024-03-14T22:57:17.029712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 15
 
11.6%
0.0077 4
 
3.1%
0.0085 4
 
3.1%
0.0092 4
 
3.1%
0.0109 3
 
2.3%
0.0129 3
 
2.3%
0.011 3
 
2.3%
0.009 3
 
2.3%
0.0089 3
 
2.3%
0.0093 3
 
2.3%
Other values (61) 84
65.1%
ValueCountFrequency (%)
0.0 15
11.6%
0.0051 1
 
0.8%
0.0054 2
 
1.6%
0.0057 1
 
0.8%
0.0059 1
 
0.8%
0.0062 2
 
1.6%
0.0063 1
 
0.8%
0.0066 1
 
0.8%
0.0068 2
 
1.6%
0.0069 1
 
0.8%
ValueCountFrequency (%)
0.0194 1
0.8%
0.0187 1
0.8%
0.0179 1
0.8%
0.0173 1
0.8%
0.017 1
0.8%
0.0165 1
0.8%
0.0153 1
0.8%
0.0152 2
1.6%
0.0151 1
0.8%
0.015 1
0.8%

일산화탄소
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct24
Distinct (%)18.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.30868217
Minimum0
Maximum0.45
Zeros15
Zeros (%)11.6%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-03-14T22:57:17.274970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.3
median0.35
Q30.38
95-th percentile0.42
Maximum0.45
Range0.45
Interquartile range (IQR)0.08

Descriptive statistics

Standard deviation0.12199116
Coefficient of variation (CV)0.3951999
Kurtosis2.1154155
Mean0.30868217
Median Absolute Deviation (MAD)0.04
Skewness-1.7780759
Sum39.82
Variance0.014881844
MonotonicityNot monotonic
2024-03-14T22:57:17.480666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
0.0 15
11.6%
0.37 13
 
10.1%
0.36 12
 
9.3%
0.39 11
 
8.5%
0.35 8
 
6.2%
0.31 8
 
6.2%
0.32 7
 
5.4%
0.41 7
 
5.4%
0.3 6
 
4.7%
0.29 5
 
3.9%
Other values (14) 37
28.7%
ValueCountFrequency (%)
0.0 15
11.6%
0.18 1
 
0.8%
0.23 1
 
0.8%
0.24 1
 
0.8%
0.25 4
 
3.1%
0.27 1
 
0.8%
0.28 3
 
2.3%
0.29 5
 
3.9%
0.3 6
 
4.7%
0.31 8
6.2%
ValueCountFrequency (%)
0.45 1
 
0.8%
0.44 1
 
0.8%
0.43 2
 
1.6%
0.42 4
 
3.1%
0.41 7
5.4%
0.4 5
 
3.9%
0.39 11
8.5%
0.38 5
 
3.9%
0.37 13
10.1%
0.36 12
9.3%

아황산가스
Real number (ℝ)

ZEROS 

Distinct28
Distinct (%)21.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0023023256
Minimum0
Maximum0.0048
Zeros15
Zeros (%)11.6%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-03-14T22:57:17.715988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.002
median0.0023
Q30.003
95-th percentile0.0037
Maximum0.0048
Range0.0048
Interquartile range (IQR)0.001

Descriptive statistics

Standard deviation0.0010376856
Coefficient of variation (CV)0.45071193
Kurtosis0.84884509
Mean0.0023023256
Median Absolute Deviation (MAD)0.0004
Skewness-0.76955919
Sum0.297
Variance1.0767914 × 10-6
MonotonicityNot monotonic
2024-03-14T22:57:17.938198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
0.0 15
 
11.6%
0.0019 11
 
8.5%
0.002 11
 
8.5%
0.0022 9
 
7.0%
0.0021 8
 
6.2%
0.003 7
 
5.4%
0.0023 7
 
5.4%
0.0025 6
 
4.7%
0.0029 6
 
4.7%
0.0034 6
 
4.7%
Other values (18) 43
33.3%
ValueCountFrequency (%)
0.0 15
11.6%
0.0015 1
 
0.8%
0.0017 1
 
0.8%
0.0018 3
 
2.3%
0.0019 11
8.5%
0.002 11
8.5%
0.0021 8
6.2%
0.0022 9
7.0%
0.0023 7
5.4%
0.0024 5
 
3.9%
ValueCountFrequency (%)
0.0048 1
 
0.8%
0.0045 1
 
0.8%
0.0044 1
 
0.8%
0.0041 1
 
0.8%
0.0039 1
 
0.8%
0.0038 1
 
0.8%
0.0037 2
 
1.6%
0.0035 1
 
0.8%
0.0034 6
4.7%
0.0033 3
2.3%

초미세먼지
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct24
Distinct (%)18.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30.333333
Minimum0
Maximum99
Zeros16
Zeros (%)12.4%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-03-14T22:57:18.246013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q129
median33
Q336
95-th percentile43
Maximum99
Range99
Interquartile range (IQR)7

Descriptive statistics

Standard deviation13.529674
Coefficient of variation (CV)0.44603321
Kurtosis5.7798639
Mean30.333333
Median Absolute Deviation (MAD)4
Skewness-0.27516175
Sum3913
Variance183.05208
MonotonicityNot monotonic
2024-03-14T22:57:18.625464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
0 16
12.4%
32 13
 
10.1%
34 13
 
10.1%
35 11
 
8.5%
29 8
 
6.2%
36 8
 
6.2%
38 7
 
5.4%
33 7
 
5.4%
37 6
 
4.7%
43 5
 
3.9%
Other values (14) 35
27.1%
ValueCountFrequency (%)
0 16
12.4%
24 1
 
0.8%
25 1
 
0.8%
26 4
 
3.1%
27 3
 
2.3%
28 4
 
3.1%
29 8
6.2%
30 4
 
3.1%
31 5
 
3.9%
32 13
10.1%
ValueCountFrequency (%)
99 1
 
0.8%
49 1
 
0.8%
44 1
 
0.8%
43 5
3.9%
42 2
 
1.6%
41 2
 
1.6%
40 3
2.3%
39 3
2.3%
38 7
5.4%
37 6
4.7%

Interactions

2024-03-14T22:57:12.701596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:57:05.795764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:57:07.023690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:57:08.225073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:57:09.775258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:57:11.237054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:57:12.938841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:57:06.030828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:57:07.160620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:57:08.478099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:57:10.014210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:57:11.476784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:57:13.172472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:57:06.271277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:57:07.296873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:57:08.733913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:57:10.250925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:57:11.712478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:57:13.441192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:57:06.535215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:57:07.501470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:57:09.006546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:57:10.513203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:57:11.977540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:57:13.677903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:57:06.741715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:57:07.744187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:57:09.259570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:57:10.755126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:57:12.216019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:57:13.924390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:57:06.886132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:57:07.984634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:57:09.517587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:57:10.998513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:57:12.459762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T22:57:18.874377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연도측정소미세먼지오존이산화질소일산화탄소아황산가스초미세먼지
연도1.0000.0000.4550.4570.1270.2660.2340.455
측정소0.0001.0000.5830.8230.9100.6770.8120.583
미세먼지0.4550.5831.0000.5890.7290.6670.6461.000
오존0.4570.8230.5891.0000.7060.5920.6020.589
이산화질소0.1270.9100.7290.7061.0000.6910.6360.729
일산화탄소0.2660.6770.6670.5920.6911.0000.6360.667
아황산가스0.2340.8120.6460.6020.6360.6361.0000.646
초미세먼지0.4550.5831.0000.5890.7290.6670.6461.000
2024-03-14T22:57:19.159661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
측정소연도
측정소1.0000.000
연도0.0001.000
2024-03-14T22:57:19.409094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
미세먼지오존이산화질소일산화탄소아황산가스초미세먼지연도측정소
미세먼지1.0000.3060.5740.5350.3201.0000.3840.258
오존0.3061.0000.1320.2600.3870.3060.2100.445
이산화질소0.5740.1321.0000.6860.1910.5740.0000.530
일산화탄소0.5350.2600.6861.0000.2420.5350.1580.274
아황산가스0.3200.3870.1910.2421.0000.3200.1490.398
초미세먼지1.0000.3060.5740.5350.3201.0000.3840.258
연도0.3840.2100.0000.1580.1490.3841.0000.000
측정소0.2580.4450.5300.2740.3980.2580.0001.000

Missing values

2024-03-14T22:57:14.260472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T22:57:14.650867image/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

연도측정소미세먼지오존이산화질소일산화탄소아황산가스초미세먼지
02022전주시 노송동320.0330.01270.390.001932
12022전주시 삼천동350.03320.01530.420.002335
22022전주시 송천동350.03010.01290.350.002135
32022전주시 여의동290.02960.0130.280.002529
42022전주시 팔복동370.03260.01730.390.002337
52022전주시 혁신동340.03140.0150.380.00234
62022전주시 효자동320.02950.00930.250.00232
72022전주시 서신동320.00.01870.410.001932
82022군산시 비응도360.04150.00970.340.00336
92022군산시 사정동350.03460.01210.370.002235
연도측정소미세먼지오존이산화질소일산화탄소아황산가스초미세먼지
1192020무주군 무주읍250.03170.00680.360.003325
1202020장수군 장수읍260.03430.00630.320.002926
1212020임실군 관촌면990.02860.01180.350.002199
1222020임실군 임실읍290.02740.00730.370.003429
1232020순창군 순창읍290.03230.00750.320.003229
1242020고창군 고창읍270.03590.00920.280.002527
1252020고창군 심원면240.03920.00510.250.003424
1262020부안군 계화면340.02530.01230.410.002234
1272020부안군 부안읍330.03790.01290.440.002433
1282020익산시 남중동00.00.00.00.00