gimi9 Pandas Profiling

Dataset statistics

Number of variables	13
Number of observations	10000
Missing cells	3523
Missing cells (%)	2.7%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	1.2 MiB
Average record size in memory	122.0 B

Variable types

Numeric	9
Categorical	3
Text	1

Dataset

Description	경기도 대기환경정보 월평균자료
Author	경기도
URL	https://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=F32ZDZ5AAZWMDY363OMC33625778&infSeq=1

Alerts

`측정망구분` is highly overall correlated with `측정망코드`	High correlation
`측정망코드` is highly overall correlated with `측정망구분`	High correlation
`도시코드` is highly overall correlated with `측정소코드` and 1 other fields	High correlation
`측정소코드` is highly overall correlated with `도시코드` and 1 other fields	High correlation
`측정날짜` is highly overall correlated with `SO2(ppm)`	High correlation
`SO2(ppm)` is highly overall correlated with `측정날짜`	High correlation
`NO2(ppm)` is highly overall correlated with `CO(ppm)` and 3 other fields	High correlation
`CO(ppm)` is highly overall correlated with `NO2(ppm)` and 2 other fields	High correlation
`O3(ppm)` is highly overall correlated with `NO2(ppm)` and 1 other fields	High correlation
`PM10(㎍/㎥)` is highly overall correlated with `NO2(ppm)` and 1 other fields	High correlation
`PM25(㎍/㎥)` is highly overall correlated with `NO2(ppm)` and 2 other fields	High correlation
`도시명` is highly overall correlated with `도시코드` and 1 other fields	High correlation
`측정망코드` is highly imbalanced (57.0%)	Imbalance
`측정망구분` is highly imbalanced (57.0%)	Imbalance
`SO2(ppm)` has 202 (2.0%) missing values	Missing
`NO2(ppm)` has 246 (2.5%) missing values	Missing
`CO(ppm)` has 279 (2.8%) missing values	Missing
`O3(ppm)` has 422 (4.2%) missing values	Missing
`PM10(㎍/㎥)` has 373 (3.7%) missing values	Missing
`PM25(㎍/㎥)` has 2001 (20.0%) missing values	Missing

Reproduction

Analysis started	2023-12-10 22:32:07.756063
Analysis finished	2023-12-10 22:32:19.080125
Duration	11.32 seconds
Software version	ydata-profiling vv4.5.1
Download configuration	config.json

도시코드
Real number (ℝ)

HIGH CORRELATION

Distinct	31
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	12.947

Minimum	1
Maximum	31
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	166.0 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	5
median	12
Q3	20
95-th percentile	28
Maximum	31
Range	30
Interquartile range (IQR)	15

Descriptive statistics

Standard deviation	8.7592045
Coefficient of variation (CV)	0.67654318
Kurtosis	-1.1177058
Mean	12.947
Median Absolute Deviation (MAD)	7
Skewness	0.29892949
Sum	129470
Variance	76.723663
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=31)

Value	Count	Frequency (%)
9	820	8.2%
2	813	8.1%
1	773	7.7%
19	568	5.7%
24	541	5.4%
5	513	5.1%
10	455	4.5%
15	446	4.5%
7	437	4.4%
13	430	4.3%
Other values (21)	4204	42.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	773	7.7%
2	813	8.1%
3	241	2.4%
4	410	4.1%
5	513	5.1%
6	206	2.1%
7	437	4.4%
8	104	1.0%
9	820	8.2%
10	455	4.5%

Value	Count	Frequency (%)
31	140	1.4%
30	143	1.4%
29	117	1.2%
28	177	1.8%
27	172	1.7%
26	171	1.7%
25	178	1.8%
24	541	5.4%
23	394	3.9%
22	187	1.9%

도시명
Categorical

HIGH CORRELATION

Distinct	31
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	156.2 KiB

안산시	820
성남시	813
수원시	773
용인시	568
화성시	541
Other values (26)	6485

Length

Max length	4
Median length	3
Mean length	3.0775
Min length	3

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	의왕시
2nd row	안양시
3rd row	파주시
4th row	남양주시
5th row	고양시

Common Values

Value	Count	Frequency (%)
안산시	820	8.2%
성남시	813	8.1%
수원시	773	7.7%
용인시	568	5.7%
화성시	541	5.4%
부천시	513	5.1%
고양시	455	4.5%
시흥시	446	4.5%
평택시	437	4.4%
남양주시	430	4.3%
Other values (21)	4204	42.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
안산시	820	8.2%
성남시	813	8.1%
수원시	773	7.7%
용인시	568	5.7%
화성시	541	5.4%
부천시	513	5.1%
고양시	455	4.5%
시흥시	446	4.5%
평택시	437	4.4%
남양주시	430	4.3%
Other values (21)	4204	42.0%

측정소코드
Real number (ℝ)

HIGH CORRELATION

Distinct	122
Distinct (%)	1.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	167223.72

Minimum	131111
Maximum	831155
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	166.0 KiB

Quantile statistics

Minimum	131111
5-th percentile	131115
Q1	131191
median	131343
Q3	131501
95-th percentile	831151
Maximum	831155
Range	700044
Interquartile range (IQR)	310

Descriptive statistics

Standard deviation	154396.7
Coefficient of variation (CV)	0.92329427
Kurtosis	14.555089
Mean	167223.72
Median Absolute Deviation (MAD)	158
Skewness	4.068434
Sum	1.6722372 × 10⁹
Variance	2.3838341 × 10¹⁰
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
831155	104	1.0%
131553	104	1.0%
131211	104	1.0%
131128	104	1.0%
131581	104	1.0%
131471	104	1.0%
131232	104	1.0%
131129	104	1.0%
131561	104	1.0%
131116	104	1.0%
Other values (112)	8960	89.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
131111	102	1.0%
131112	102	1.0%
131113	104	1.0%
131114	102	1.0%
131115	102	1.0%
131116	104	1.0%
131117	103	1.0%
131118	35	0.4%
131119	19	0.2%
131120	100	1.0%

Value	Count	Frequency (%)
831155	104	1.0%
831154	102	1.0%
831153	101	1.0%
831152	103	1.0%
831151	103	1.0%
131622	37	0.4%
131621	103	1.0%
131612	40	0.4%
131611	103	1.0%
131602	14	0.1%

측정소명
Text

Distinct	122
Distinct (%)	1.2%
Missing	0
Missing (%)	0.0%
Memory size	156.2 KiB

Length

Max length	5
Median length	3
Mean length	3.0991
Min length	2

Characters and Unicode

Total characters	30991
Distinct characters	127
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	고천동
2nd row	부림동
3rd row	운정
4th row	금곡동
5th row	행신동

Value	Count	Frequency (%)
송내대로	104	1.0%
당동	104	1.0%
광교동	104	1.0%
과천동	104	1.0%
경수대로	104	1.0%
백석읍	104	1.0%
상대원동	104	1.0%
사우동	104	1.0%
봉산동	104	1.0%
운중동	104	1.0%
Other values (112)	8960	89.6%

Most occurring characters

Value	Count	Frequency (%)
동	6680	21.6%
읍	1204	3.9%
대	1068	3.4%
로	880	2.8%
부	795	2.6%
정	771	2.5%
산	693	2.2%
중	612	2.0%
신	517	1.7%
천	514	1.7%
Other values (117)	17257	55.7%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	30402	98.1%
Decimal Number	589	1.9%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
동	6680	22.0%
읍	1204	4.0%
대	1068	3.5%
로	880	2.9%
부	795	2.6%
정	771	2.5%
산	693	2.3%
중	612	2.0%
신	517	1.7%
천	514	1.7%
Other values (113)	16668	54.8%

Decimal Number

Value	Count	Frequency (%)
2	202	34.3%
1	147	25.0%
3	137	23.3%
8	103	17.5%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	30402	98.1%
Common	589	1.9%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
동	6680	22.0%
읍	1204	4.0%
대	1068	3.5%
로	880	2.9%
부	795	2.6%
정	771	2.5%
산	693	2.3%
중	612	2.0%
신	517	1.7%
천	514	1.7%
Other values (113)	16668	54.8%

Common

Value	Count	Frequency (%)
2	202	34.3%
1	147	25.0%
3	137	23.3%
8	103	17.5%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	30402	98.1%
ASCII	589	1.9%

Most frequent character per block

Hangul

Value	Count	Frequency (%)
동	6680	22.0%
읍	1204	4.0%
대	1068	3.5%
로	880	2.9%
부	795	2.6%
정	771	2.5%
산	693	2.3%
중	612	2.0%
신	517	1.7%
천	514	1.7%
Other values (113)	16668	54.8%

ASCII

Value	Count	Frequency (%)
2	202	34.3%
1	147	25.0%
3	137	23.3%
8	103	17.5%

측정망코드
Categorical

HIGH CORRELATION IMBALANCE

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	156.2 KiB

1	9120
2	880

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

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

Common Values

Value	Count	Frequency (%)
1	9120	91.2%
2	880	8.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	9120	91.2%
2	880	8.8%

측정망구분
Categorical

HIGH CORRELATION IMBALANCE

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	156.2 KiB

도시대기	9120
도로변	880

Length

Max length	4
Median length	4
Mean length	3.912
Min length	3

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	도시대기
2nd row	도시대기
3rd row	도시대기
4th row	도시대기
5th row	도시대기

Common Values

Value	Count	Frequency (%)
도시대기	9120	91.2%
도로변	880	8.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
도시대기	9120	91.2%
도로변	880	8.8%

측정날짜
Real number (ℝ)

HIGH CORRELATION

Distinct	104
Distinct (%)	1.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	201934.05

Minimum	201501
Maximum	202308
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	166.0 KiB

Quantile statistics

Minimum	201501
5-th percentile	201507
Q1	201708
median	202001
Q3	202112
95-th percentile	202304
Maximum	202308
Range	807
Interquartile range (IQR)	404

Descriptive statistics

Standard deviation	250.0281
Coefficient of variation (CV)	0.0012381672
Kurtosis	-1.1514134
Mean	201934.05
Median Absolute Deviation (MAD)	201
Skewness	-0.22016933
Sum	2.0193405 × 10⁹
Variance	62514.053
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
202306	121	1.2%
202210	121	1.2%
202211	121	1.2%
202308	120	1.2%
202201	120	1.2%
202307	120	1.2%
202212	120	1.2%
202303	120	1.2%
202202	120	1.2%
202304	120	1.2%
Other values (94)	8797	88.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
201501	77	0.8%
201502	75	0.8%
201503	78	0.8%
201504	78	0.8%
201505	79	0.8%
201506	78	0.8%
201507	79	0.8%
201508	78	0.8%
201509	79	0.8%
201510	79	0.8%

Value	Count	Frequency (%)
202308	120	1.2%
202307	120	1.2%
202306	121	1.2%
202305	118	1.2%
202304	120	1.2%
202303	120	1.2%
202302	119	1.2%
202301	118	1.2%
202212	120	1.2%
202211	121	1.2%

SO2(ppm)
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	51
Distinct (%)	0.5%
Missing	202
Missing (%)	2.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.0035000816

Minimum	0.0008
Maximum	0.015
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	166.0 KiB

Quantile statistics

Minimum	0.0008
5-th percentile	0.002
Q1	0.0022
median	0.003
Q3	0.004
95-th percentile	0.006
Maximum	0.015
Range	0.0142
Interquartile range (IQR)	0.0018

Descriptive statistics

Standard deviation	0.0015130388
Coefficient of variation (CV)	0.43228672
Kurtosis	4.1088134
Mean	0.0035000816
Median Absolute Deviation (MAD)	0.001
Skewness	1.3976902
Sum	34.2938
Variance	2.2892865 × 10^-6
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.003	2709	27.1%
0.004	2080	20.8%
0.002	1939	19.4%
0.005	1146	11.5%
0.006	508	5.1%
0.007	219	2.2%
0.001	177	1.8%
0.008	76	0.8%
0.0025	62	0.6%
0.0024	53	0.5%
Other values (41)	829	8.3%
(Missing)	202	2.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.0008	2	< 0.1%
0.0009	8	0.1%
0.001	177	1.8%
0.0011	19	0.2%
0.0012	25	0.2%
0.0013	29	0.3%
0.0014	33	0.3%
0.0015	30	0.3%
0.0016	30	0.3%
0.0017	45	0.4%

Value	Count	Frequency (%)
0.015	2	< 0.1%
0.014	3	< 0.1%
0.013	4	< 0.1%
0.012	7	0.1%
0.011	14	0.1%
0.01	19	0.2%
0.009	37	0.4%
0.008	76	0.8%
0.007	219	2.2%
0.006	508	5.1%

NO2(ppm)
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	337
Distinct (%)	3.5%
Missing	246
Missing (%)	2.5%
Infinite	0
Infinite (%)	0.0%
Mean	0.023250851

Minimum	0.0017
Maximum	0.067
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	166.0 KiB

Quantile statistics

Minimum	0.0017
5-th percentile	0.008
Q1	0.015
median	0.023
Q3	0.0302
95-th percentile	0.041
Maximum	0.067
Range	0.0653
Interquartile range (IQR)	0.0152

Descriptive statistics

Standard deviation	0.010353247
Coefficient of variation (CV)	0.44528465
Kurtosis	-0.32714194
Mean	0.023250851
Median Absolute Deviation (MAD)	0.008
Skewness	0.41187943
Sum	226.7888
Variance	0.00010718972
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.017	315	3.1%
0.023	307	3.1%
0.019	306	3.1%
0.028	305	3.0%
0.022	303	3.0%
0.016	297	3.0%
0.015	294	2.9%
0.013	293	2.9%
0.029	290	2.9%
0.024	289	2.9%
Other values (327)	6755	67.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.0017	1	< 0.1%
0.0027	1	< 0.1%
0.0029	1	< 0.1%
0.003	3	< 0.1%
0.0033	1	< 0.1%
0.0035	2	< 0.1%
0.0037	1	< 0.1%
0.0039	2	< 0.1%
0.004	19	0.2%
0.0041	2	< 0.1%

Value	Count	Frequency (%)
0.067	1	< 0.1%
0.066	1	< 0.1%
0.063	1	< 0.1%
0.062	1	< 0.1%
0.06	2	< 0.1%
0.059	6	0.1%
0.058	3	< 0.1%
0.057	2	< 0.1%
0.056	3	< 0.1%
0.055	6	0.1%

CO(ppm)
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	57
Distinct (%)	0.6%
Missing	279
Missing (%)	2.8%
Infinite	0
Infinite (%)	0.0%
Mean	0.47611563

Minimum	0.1
Maximum	1.1
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	166.0 KiB

Quantile statistics

Minimum	0.1
5-th percentile	0.3
Q1	0.4
median	0.5
Q3	0.6
95-th percentile	0.7
Maximum	1.1
Range	1
Interquartile range (IQR)	0.2

Descriptive statistics

Standard deviation	0.1434032
Coefficient of variation (CV)	0.30119406
Kurtosis	0.24663967
Mean	0.47611563
Median Absolute Deviation (MAD)	0.1
Skewness	0.54898019
Sum	4628.32
Variance	0.020564478
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.4	2361	23.6%
0.5	2335	23.4%
0.6	1490	14.9%
0.3	1357	13.6%
0.7	717	7.2%
0.8	296	3.0%
0.2	214	2.1%
0.9	84	0.8%
0.33	34	0.3%
0.36	34	0.3%
Other values (47)	799	8.0%
(Missing)	279	2.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.1	1	< 0.1%
0.19	2	< 0.1%
0.2	214	2.1%
0.21	2	< 0.1%
0.22	7	0.1%
0.23	14	0.1%
0.24	17	0.2%
0.25	28	0.3%
0.26	27	0.3%
0.27	31	0.3%

Value	Count	Frequency (%)
1.1	5	0.1%
1.0	17	0.2%
0.9	84	0.8%
0.8	296	3.0%
0.73	1	< 0.1%
0.7	717	7.2%
0.68	2	< 0.1%
0.67	2	< 0.1%
0.66	6	0.1%
0.65	3	< 0.1%

O3(ppm)
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	386
Distinct (%)	4.0%
Missing	422
Missing (%)	4.2%
Infinite	0
Infinite (%)	0.0%
Mean	0.02716351

Minimum	0.005
Maximum	0.063
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	166.0 KiB

Quantile statistics

Minimum	0.005
5-th percentile	0.011
Q1	0.018
median	0.027
Q3	0.035
95-th percentile	0.046
Maximum	0.063
Range	0.058
Interquartile range (IQR)	0.017

Descriptive statistics

Standard deviation	0.010998488
Coefficient of variation (CV)	0.40489937
Kurtosis	-0.75792883
Mean	0.02716351
Median Absolute Deviation (MAD)	0.009
Skewness	0.26190028
Sum	260.1721
Variance	0.00012096674
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.015	306	3.1%
0.016	289	2.9%
0.029	287	2.9%
0.017	286	2.9%
0.014	284	2.8%
0.018	275	2.8%
0.028	274	2.7%
0.031	272	2.7%
0.022	271	2.7%
0.026	269	2.7%
Other values (376)	6765	67.7%
(Missing)	422	4.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.005	4	< 0.1%
0.006	11	0.1%
0.007	36	0.4%
0.008	54	0.5%
0.0086	1	< 0.1%
0.009	107	1.1%
0.01	159	1.6%
0.0107	1	< 0.1%
0.011	204	2.0%
0.0112	1	< 0.1%

Value	Count	Frequency (%)
0.063	1	< 0.1%
0.061	1	< 0.1%
0.06	3	< 0.1%
0.058	5	0.1%
0.057	4	< 0.1%
0.0567	1	< 0.1%
0.056	5	0.1%
0.0558	1	< 0.1%
0.0557	1	< 0.1%
0.0556	1	< 0.1%

PM10(㎍/㎥)
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	101
Distinct (%)	1.0%
Missing	373
Missing (%)	3.7%
Infinite	0
Infinite (%)	0.0%
Mean	44.672276

Minimum	6
Maximum	115
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	166.0 KiB

Quantile statistics

Minimum	6
5-th percentile	21
Q1	32
median	44
Q3	54
95-th percentile	75
Maximum	115
Range	109
Interquartile range (IQR)	22

Descriptive statistics

Standard deviation	16.230033
Coefficient of variation (CV)	0.36331333
Kurtosis	-0.010024726
Mean	44.672276
Median Absolute Deviation (MAD)	11
Skewness	0.50812712
Sum	430060
Variance	263.41399
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
46	271	2.7%
44	267	2.7%
43	264	2.6%
47	261	2.6%
49	261	2.6%
41	260	2.6%
45	255	2.5%
42	244	2.4%
39	234	2.3%
40	225	2.2%
Other values (91)	7085	70.9%
(Missing)	373	3.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
6	1	< 0.1%
8	1	< 0.1%
10	1	< 0.1%
11	3	< 0.1%
12	4	< 0.1%
13	9	0.1%
14	17	0.2%
15	17	0.2%
16	33	0.3%
17	53	0.5%

Value	Count	Frequency (%)
115	1	< 0.1%
111	1	< 0.1%
109	1	< 0.1%
108	1	< 0.1%
106	1	< 0.1%
103	2	< 0.1%
102	2	< 0.1%
101	2	< 0.1%
100	3	< 0.1%
99	1	< 0.1%

PM25(㎍/㎥)
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	55
Distinct (%)	0.7%
Missing	2001
Missing (%)	20.0%
Infinite	0
Infinite (%)	0.0%
Mean	22.810226

Minimum	3
Maximum	62
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	166.0 KiB

Quantile statistics

Minimum	3
5-th percentile	10
Q1	16
median	22
Q3	28
95-th percentile	39
Maximum	62
Range	59
Interquartile range (IQR)	12

Descriptive statistics

Standard deviation	8.9743315
Coefficient of variation (CV)	0.39343457
Kurtosis	0.12020145
Mean	22.810226
Median Absolute Deviation (MAD)	6
Skewness	0.56941642
Sum	182459
Variance	80.538625
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
23	341	3.4%
17	340	3.4%
18	339	3.4%
16	338	3.4%
20	329	3.3%
19	325	3.2%
24	322	3.2%
25	317	3.2%
22	316	3.2%
26	311	3.1%
Other values (45)	4721	47.2%
(Missing)	2001	20.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
3	3	< 0.1%
4	4	< 0.1%
5	15	0.1%
6	28	0.3%
7	43	0.4%
8	81	0.8%
9	126	1.3%
10	184	1.8%
11	219	2.2%
12	270	2.7%

Value	Count	Frequency (%)
62	1	< 0.1%
57	1	< 0.1%
56	3	< 0.1%
54	7	0.1%
53	7	0.1%
52	8	0.1%
51	9	0.1%
50	10	0.1%
49	20	0.2%
48	16	0.2%

Heatmap
Table

	도시코드	도시명	측정소코드	측정망코드	측정망구분	측정날짜	SO2(ppm)	NO2(ppm)	CO(ppm)	O3(ppm)	PM10(㎍/㎥)	PM25(㎍/㎥)
도시코드	1.000	1.000	0.818	0.249	0.249	0.136	0.315	0.508	0.337	0.212	0.157	0.147
도시명	1.000	1.000	1.000	0.388	0.388	0.093	0.402	0.524	0.392	0.225	0.196	0.190
측정소코드	0.818	1.000	1.000	0.144	0.144	0.040	0.213	0.179	0.097	0.058	0.095	0.080
측정망코드	0.249	0.388	0.144	1.000	1.000	0.000	0.060	0.492	0.278	0.205	0.074	0.060
측정망구분	0.249	0.388	0.144	1.000	1.000	0.000	0.060	0.492	0.278	0.205	0.074	0.060
측정날짜	0.136	0.093	0.040	0.000	0.000	1.000	0.620	0.438	0.484	0.324	0.522	0.542
SO2(ppm)	0.315	0.402	0.213	0.060	0.060	0.620	1.000	0.490	0.463	0.274	0.535	0.373
NO2(ppm)	0.508	0.524	0.179	0.492	0.492	0.438	0.490	1.000	0.737	0.640	0.603	0.577
CO(ppm)	0.337	0.392	0.097	0.278	0.278	0.484	0.463	0.737	1.000	0.626	0.497	0.533
O3(ppm)	0.212	0.225	0.058	0.205	0.205	0.324	0.274	0.640	0.626	1.000	0.423	0.489
PM10(㎍/㎥)	0.157	0.196	0.095	0.074	0.074	0.522	0.535	0.603	0.497	0.423	1.000	0.838
PM25(㎍/㎥)	0.147	0.190	0.080	0.060	0.060	0.542	0.373	0.577	0.533	0.489	0.838	1.000

Heatmap
Table

	도시명	측정망구분	측정망코드
도시명	1.000	0.330	0.330
측정망구분	0.330	1.000	0.999
측정망코드	0.330	0.999	1.000

Heatmap
Table

	도시코드	측정소코드	측정날짜	SO2(ppm)	NO2(ppm)	CO(ppm)	O3(ppm)	PM10(㎍/㎥)	PM25(㎍/㎥)	도시명	측정망코드	측정망구분
도시코드	1.000	0.739	0.111	-0.114	-0.409	-0.250	0.126	-0.042	0.005	0.999	0.184	0.184
측정소코드	0.739	1.000	0.088	-0.008	-0.350	-0.253	0.103	0.002	0.027	0.999	0.093	0.093
측정날짜	0.111	0.088	1.000	-0.678	-0.417	-0.370	0.205	-0.331	-0.276	0.033	0.000	0.000
SO2(ppm)	-0.114	-0.008	-0.678	1.000	0.483	0.409	-0.252	0.497	0.471	0.153	0.046	0.046
NO2(ppm)	-0.409	-0.350	-0.417	0.483	1.000	0.727	-0.632	0.570	0.608	0.213	0.378	0.378
CO(ppm)	-0.250	-0.253	-0.370	0.409	0.727	1.000	-0.592	0.479	0.549	0.149	0.219	0.219
O3(ppm)	0.126	0.103	0.205	-0.252	-0.632	-0.592	1.000	-0.217	-0.354	0.081	0.157	0.157
PM10(㎍/㎥)	-0.042	0.002	-0.331	0.497	0.570	0.479	-0.217	1.000	0.853	0.070	0.057	0.057
PM25(㎍/㎥)	0.005	0.027	-0.276	0.471	0.608	0.549	-0.354	0.853	1.000	0.068	0.046	0.046
도시명	0.999	0.999	0.033	0.153	0.213	0.149	0.081	0.070	0.068	1.000	0.330	0.330
측정망코드	0.184	0.093	0.000	0.046	0.378	0.219	0.157	0.057	0.046	0.330	1.000	0.999
측정망구분	0.184	0.093	0.000	0.046	0.378	0.219	0.157	0.057	0.046	0.330	0.999	1.000

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

First rows
Last rows

	도시코드	도시명	측정소코드	측정소명	측정망코드	측정망구분	측정날짜	SO2(ppm)	NO2(ppm)	CO(ppm)	O3(ppm)	PM10(㎍/㎥)	PM25(㎍/㎥)
7781	17	의왕시	131223	고천동	1	도시대기	201911	0.003	0.031	0.5	0.014	40	21
6211	4	안양시	131142	부림동	1	도시대기	202011	0.003	0.042	0.6	0.015	42	29
8742	20	파주시	131372	운정	1	도시대기	202207	0.002	0.009	0.4	0.035	26	17
2060	13	남양주시	131241	금곡동	1	도시대기	201602	0.004	0.031	0.5	0.017	44	<NA>
479	10	고양시	131381	행신동	1	도시대기	202010	0.004	0.021	0.4	0.03	36	17
7416	19	용인시	131413	기흥	1	도시대기	202207	0.002	0.012	0.4	0.038	23	14
1189	12	구리시	131212	동구동	1	도시대기	201912	0.003	0.028	0.5	0.011	51	33
1622	25	광주시	131394	오포1동	1	도시대기	202211	0.002	0.025	0.6	0.015	44	23
8209	19	용인시	131416	이동읍	1	도시대기	202209	0.002	0.011	0.4	0.029	22	10
3608	2	성남시	131124	수내동	1	도시대기	201611	0.004	0.038	0.6	0.012	51	22

	도시코드	도시명	측정소코드	측정소명	측정망코드	측정망구분	측정날짜	SO2(ppm)	NO2(ppm)	CO(ppm)	O3(ppm)	PM10(㎍/㎥)	PM25(㎍/㎥)
8999	7	평택시	131343	평택항	1	도시대기	201804	0.007	0.025	0.5	0.032	74	37
6419	26	양주시	131562	고읍	1	도시대기	202102	0.004	0.021	0.5	0.025	48	27
5749	9	안산시	131198	중앙대로	2	도로변	201505	0.006	0.037	0.5	<NA>	48	<NA>
3196	2	성남시	131120	대왕판교로	2	도로변	201703	0.006	0.058	0.8	<NA>	58	32
4933	15	시흥시	131232	시화산단	1	도시대기	202002	0.004	0.033	0.5	0.024	51	24
9239	18	하남시	131542	미사	1	도시대기	202012	0.003	0.032	0.6	0.014	46	25
8489	21	이천시	131442	창전동	1	도시대기	201807	0.003	0.012	0.3	0.031	28	16
3110	2	성남시	131121	단대동	1	도시대기	201809	0.003	0.017	0.4	0.03	21	10
7897	17	의왕시	131222	부곡3동	1	도시대기	202011	0.003	0.035	0.5	0.017	40	26
5113	9	안산시	131196	대부동	1	도시대기	202003	0.003	0.012	0.4	0.04	43	21

Overview

Variables

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter

Decimal Number

Most occurring scripts

Most frequent character per script

Hangul

Common

Most occurring blocks

Most frequent character per block

Hangul

ASCII

Common Values

Length

Common Values (Plot)

Common Values

Length

Common Values (Plot)

Interactions

Correlations

Missing values

Sample