Overview

Dataset statistics

Number of variables15
Number of observations200
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory25.7 KiB
Average record size in memory131.7 B

Variable types

Categorical9
Numeric6

Dataset

DescriptionSample
Author(재)인천테크노파크
URLhttps://www.bigdata-telecom.kr/invoke/SOKBP2603/?goodsCode=ICTDUST000001

Alerts

1KM그리드ID has constant value ""Constant
X좌표 has constant value ""Constant
수정일시 has constant value ""Constant
Y좌표 has constant value ""Constant
행정동코드 has constant value ""Constant
행정구역시도명 has constant value ""Constant
시군구명 has constant value ""Constant
읍면동명 has constant value ""Constant
년도 has constant value ""Constant
1KM미세먼지값 is highly overall correlated with 1KM초미세먼지값High correlation
1KM초미세먼지값 is highly overall correlated with 1KM미세먼지값High correlation
사용금액 is highly overall correlated with 사용건수 and 1 other fieldsHigh correlation
사용건수 is highly overall correlated with 사용금액 and 1 other fieldsHigh correlation
월 is highly overall correlated with 사용금액 and 1 other fieldsHigh correlation
사용금액 has unique valuesUnique

Reproduction

Analysis started2023-12-10 06:13:24.766796
Analysis finished2023-12-10 06:13:30.581100
Duration5.81 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

1KM그리드ID
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
다사00504150
200 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row다사00504150
2nd row다사00504150
3rd row다사00504150
4th row다사00504150
5th row다사00504150

Common Values

ValueCountFrequency (%)
다사00504150 200
100.0%

Length

2023-12-10T15:13:30.667123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:13:30.785568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
다사00504150 200
100.0%

X좌표
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
37.467409881199664
200 

Length

Max length18
Median length18
Mean length18
Min length18

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row37.467409881199664
2nd row37.467409881199664
3rd row37.467409881199664
4th row37.467409881199664
5th row37.467409881199664

Common Values

ValueCountFrequency (%)
37.467409881199664 200
100.0%

Length

2023-12-10T15:13:30.920907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:13:31.049762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
37.467409881199664 200
100.0%

1KM미세먼지값
Real number (ℝ)

HIGH CORRELATION 

Distinct192
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.80065
Minimum4.65
Maximum92.88
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:13:31.225655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4.65
5-th percentile9.807
Q119.935
median27.02
Q337.18
95-th percentile51.8215
Maximum92.88
Range88.23
Interquartile range (IQR)17.245

Descriptive statistics

Standard deviation13.256535
Coefficient of variation (CV)0.46028598
Kurtosis2.2020812
Mean28.80065
Median Absolute Deviation (MAD)8.935
Skewness0.93669124
Sum5760.13
Variance175.73573
MonotonicityNot monotonic
2023-12-10T15:13:31.433665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
16.91 2
 
1.0%
21.33 2
 
1.0%
33.92 2
 
1.0%
16.75 2
 
1.0%
29.04 2
 
1.0%
24.0 2
 
1.0%
24.62 2
 
1.0%
25.5 2
 
1.0%
25.0 1
 
0.5%
22.21 1
 
0.5%
Other values (182) 182
91.0%
ValueCountFrequency (%)
4.65 1
0.5%
5.09 1
0.5%
5.4 1
0.5%
5.5 1
0.5%
7.04 1
0.5%
7.12 1
0.5%
8.67 1
0.5%
9.25 1
0.5%
9.54 1
0.5%
9.75 1
0.5%
ValueCountFrequency (%)
92.88 1
0.5%
68.46 1
0.5%
65.92 1
0.5%
57.75 1
0.5%
57.62 1
0.5%
56.96 1
0.5%
56.71 1
0.5%
52.75 1
0.5%
52.5 1
0.5%
52.42 1
0.5%

1KM초미세먼지값
Real number (ℝ)

HIGH CORRELATION 

Distinct179
Distinct (%)89.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.7043
Minimum1.83
Maximum46
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:13:31.619298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.83
5-th percentile5.3725
Q19.78
median14.605
Q322.0125
95-th percentile35.9765
Maximum46
Range44.17
Interquartile range (IQR)12.2325

Descriptive statistics

Standard deviation9.3486339
Coefficient of variation (CV)0.55965433
Kurtosis0.26663568
Mean16.7043
Median Absolute Deviation (MAD)5.58
Skewness0.91349364
Sum3340.86
Variance87.396955
MonotonicityNot monotonic
2023-12-10T15:13:31.823577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9.75 3
 
1.5%
12.71 3
 
1.5%
12.33 3
 
1.5%
12.75 3
 
1.5%
9.58 2
 
1.0%
5.83 2
 
1.0%
11.75 2
 
1.0%
10.0 2
 
1.0%
16.0 2
 
1.0%
14.96 2
 
1.0%
Other values (169) 176
88.0%
ValueCountFrequency (%)
1.83 1
0.5%
2.45 1
0.5%
3.67 1
0.5%
3.78 1
0.5%
4.0 1
0.5%
4.09 1
0.5%
4.57 1
0.5%
4.58 1
0.5%
4.92 1
0.5%
5.23 1
0.5%
ValueCountFrequency (%)
46.0 1
0.5%
42.38 1
0.5%
42.29 1
0.5%
41.38 1
0.5%
39.5 1
0.5%
39.38 1
0.5%
37.42 1
0.5%
37.33 1
0.5%
36.75 1
0.5%
36.29 1
0.5%

사용금액
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct200
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30.361964
Minimum10.0701
Maximum109.356
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:13:32.016046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10.0701
5-th percentile11.525665
Q113.686925
median16.2665
Q338.536125
95-th percentile91.03164
Maximum109.356
Range99.2859
Interquartile range (IQR)24.8492

Descriptive statistics

Standard deviation27.22589
Coefficient of variation (CV)0.89671044
Kurtosis1.0033163
Mean30.361964
Median Absolute Deviation (MAD)3.64475
Skewness1.5486674
Sum6072.3928
Variance741.2491
MonotonicityNot monotonic
2023-12-10T15:13:32.309536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
90.9448 1
 
0.5%
11.7692 1
 
0.5%
16.7313 1
 
0.5%
10.0701 1
 
0.5%
12.0839 1
 
0.5%
12.6691 1
 
0.5%
12.0649 1
 
0.5%
12.7651 1
 
0.5%
13.7096 1
 
0.5%
13.9952 1
 
0.5%
Other values (190) 190
95.0%
ValueCountFrequency (%)
10.0701 1
0.5%
10.266 1
0.5%
10.2728 1
0.5%
10.6807 1
0.5%
11.136 1
0.5%
11.2099 1
0.5%
11.2305 1
0.5%
11.4766 1
0.5%
11.4854 1
0.5%
11.5003 1
0.5%
ValueCountFrequency (%)
109.356 1
0.5%
108.948 1
0.5%
102.63 1
0.5%
102.308 1
0.5%
101.464 1
0.5%
100.114 1
0.5%
98.7195 1
0.5%
96.4988 1
0.5%
94.0335 1
0.5%
92.5562 1
0.5%

사용건수
Real number (ℝ)

HIGH CORRELATION 

Distinct197
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.743252
Minimum11.0107
Maximum55.4125
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:13:32.513390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11.0107
5-th percentile12.82698
Q114.3781
median15.58125
Q327.4848
95-th percentile46.917335
Maximum55.4125
Range44.4018
Interquartile range (IQR)13.1067

Descriptive statistics

Standard deviation11.42661
Coefficient of variation (CV)0.52552442
Kurtosis0.38685291
Mean21.743252
Median Absolute Deviation (MAD)1.7098
Skewness1.3414471
Sum4348.6504
Variance130.56741
MonotonicityNot monotonic
2023-12-10T15:13:32.725557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
14.1732 2
 
1.0%
15.325 2
 
1.0%
15.1732 2
 
1.0%
43.9732 1
 
0.5%
12.8393 1
 
0.5%
13.0143 1
 
0.5%
14.1357 1
 
0.5%
14.7339 1
 
0.5%
12.2143 1
 
0.5%
11.5196 1
 
0.5%
Other values (187) 187
93.5%
ValueCountFrequency (%)
11.0107 1
0.5%
11.5196 1
0.5%
11.8446 1
0.5%
11.9768 1
0.5%
12.0857 1
0.5%
12.2036 1
0.5%
12.2143 1
0.5%
12.3179 1
0.5%
12.4393 1
0.5%
12.5929 1
0.5%
ValueCountFrequency (%)
55.4125 1
0.5%
51.1946 1
0.5%
48.7714 1
0.5%
48.7286 1
0.5%
48.575 1
0.5%
48.2661 1
0.5%
47.9768 1
0.5%
47.7732 1
0.5%
47.375 1
0.5%
46.975 1
0.5%

수정일시
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
20210824
200 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row20210824
2nd row20210824
3rd row20210824
4th row20210824
5th row20210824

Common Values

ValueCountFrequency (%)
20210824 200
100.0%

Length

2023-12-10T15:13:32.955610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:13:33.151275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20210824 200
100.0%

Y좌표
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
126.37487236711664
200 

Length

Max length18
Median length18
Mean length18
Min length18

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row126.37487236711664
2nd row126.37487236711664
3rd row126.37487236711664
4th row126.37487236711664
5th row126.37487236711664

Common Values

ValueCountFrequency (%)
126.37487236711664 200
100.0%

Length

2023-12-10T15:13:33.288658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:13:33.445231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
126.37487236711664 200
100.0%

행정동코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2811062800
200 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2811062800
2nd row2811062800
3rd row2811062800
4th row2811062800
5th row2811062800

Common Values

ValueCountFrequency (%)
2811062800 200
100.0%

Length

2023-12-10T15:13:33.673259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:13:33.810227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2811062800 200
100.0%

행정구역시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
인천
200 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
인천 200
100.0%

Length

2023-12-10T15:13:33.971233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:13:34.104029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인천 200
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
중구
200 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
중구 200
100.0%

Length

2023-12-10T15:13:34.251154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:13:34.449980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
중구 200
100.0%

읍면동명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
운서동
200 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
운서동 200
100.0%

Length

2023-12-10T15:13:34.586540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:13:34.726298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
운서동 200
100.0%

년도
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2020
200 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2020
2nd row2020
3rd row2020
4th row2020
5th row2020

Common Values

ValueCountFrequency (%)
2020 200
100.0%

Length

2023-12-10T15:13:34.869330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:13:35.017507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2020 200
100.0%

월
Real number (ℝ)

HIGH CORRELATION 

Distinct7
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.815
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:13:35.164515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q35
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.9181165
Coefficient of variation (CV)0.50278283
Kurtosis-1.1816609
Mean3.815
Median Absolute Deviation (MAD)2
Skewness0.046473174
Sum763
Variance3.6791709
MonotonicityIncreasing
2023-12-10T15:13:35.365227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 31
15.5%
3 31
15.5%
5 31
15.5%
4 30
15.0%
6 30
15.0%
2 29
14.5%
7 18
9.0%
ValueCountFrequency (%)
1 31
15.5%
2 29
14.5%
3 31
15.5%
4 30
15.0%
5 31
15.5%
6 30
15.0%
7 18
9.0%
ValueCountFrequency (%)
7 18
9.0%
6 30
15.0%
5 31
15.5%
4 30
15.0%
3 31
15.5%
2 29
14.5%
1 31
15.5%

일
Real number (ℝ)

Distinct31
Distinct (%)15.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.12
Minimum1
Maximum31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:13:35.564206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q18
median15
Q322.25
95-th percentile29
Maximum31
Range30
Interquartile range (IQR)14.25

Descriptive statistics

Standard deviation8.7106243
Coefficient of variation (CV)0.57609949
Kurtosis-1.1545161
Mean15.12
Median Absolute Deviation (MAD)7
Skewness0.09782822
Sum3024
Variance75.874975
MonotonicityNot monotonic
2023-12-10T15:13:35.765661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
1 7
 
3.5%
11 7
 
3.5%
18 7
 
3.5%
2 7
 
3.5%
16 7
 
3.5%
15 7
 
3.5%
14 7
 
3.5%
13 7
 
3.5%
12 7
 
3.5%
17 7
 
3.5%
Other values (21) 130
65.0%
ValueCountFrequency (%)
1 7
3.5%
2 7
3.5%
3 7
3.5%
4 7
3.5%
5 7
3.5%
6 7
3.5%
7 7
3.5%
8 7
3.5%
9 7
3.5%
10 7
3.5%
ValueCountFrequency (%)
31 3
1.5%
30 5
2.5%
29 6
3.0%
28 6
3.0%
27 6
3.0%
26 6
3.0%
25 6
3.0%
24 6
3.0%
23 6
3.0%
22 6
3.0%

Interactions

2023-12-10T15:13:29.036261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:13:25.215267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:13:25.933316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:13:26.788896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:13:27.483983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:13:28.223262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:13:29.154438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:13:25.326171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:13:26.048513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:13:26.897911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:13:27.584393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:13:28.334694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:13:29.271569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:13:25.441957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:13:26.164267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:13:27.017470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:13:27.699674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:13:28.445806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:13:29.707221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:13:25.572032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:13:26.317825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:13:27.133282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:13:27.830417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:13:28.562885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:13:29.846738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:13:25.686633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:13:26.454323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:13:27.246917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:13:27.956559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:13:28.683125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:13:29.984861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:13:25.807759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:13:26.616888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:13:27.357961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:13:28.092158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:13:28.907537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T15:13:35.936545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
1KM미세먼지값1KM초미세먼지값사용금액사용건수월일
1KM미세먼지값1.0000.7880.3710.4040.3830.000
1KM초미세먼지값0.7881.0000.5090.6600.3480.280
사용금액0.3710.5091.0000.9400.7550.099
사용건수0.4040.6600.9401.0000.8210.498
월0.3830.3480.7550.8211.0000.000
일0.0000.2800.0990.4980.0001.000
2023-12-10T15:13:36.098454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
1KM미세먼지값1KM초미세먼지값사용금액사용건수월일
1KM미세먼지값1.0000.8280.0970.209-0.378-0.187
1KM초미세먼지값0.8281.0000.3010.317-0.335-0.234
사용금액0.0970.3011.0000.890-0.585-0.032
사용건수0.2090.3170.8901.000-0.7310.012
월-0.378-0.335-0.585-0.7311.000-0.101
일-0.187-0.234-0.0320.012-0.1011.000

Missing values

2023-12-10T15:13:30.195461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T15:13:30.486919image/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

1KM그리드IDX좌표1KM미세먼지값1KM초미세먼지값사용금액사용건수수정일시Y좌표행정동코드행정구역시도명시군구명읍면동명년도월일
0다사0050415037.4674128.5817.7990.944843.973220210824126.3748722811062800인천중구운서동202011
1다사0050415037.4674145.8830.6782.974342.42520210824126.3748722811062800인천중구운서동202012
2다사0050415037.4674152.535.4588.310243.780420210824126.3748722811062800인천중구운서동202013
3다사0050415037.4674148.1235.9684.256544.757120210824126.3748722811062800인천중구운서동202014
4다사0050415037.4674137.2126.5108.94846.455420210824126.3748722811062800인천중구운서동202015
5다사0050415037.4674140.2129.0486.848344.946420210824126.3748722811062800인천중구운서동202016
6다사0050415037.467419.818.5688.78342.064320210824126.3748722811062800인천중구운서동202017
7다사0050415037.4674128.8326.4790.193744.664320210824126.3748722811062800인천중구운서동202018
8다사0050415037.4674137.3329.96101.46445.089320210824126.3748722811062800인천중구운서동202019
9다사0050415037.4674152.4242.38100.11447.773220210824126.3748722811062800인천중구운서동2020110
1KM그리드IDX좌표1KM미세먼지값1KM초미세먼지값사용금액사용건수수정일시Y좌표행정동코드행정구역시도명시군구명읍면동명년도월일
190다사0050415037.4674143.9135.1816.201315.173220210824126.3748722811062800인천중구운서동202079
191다사0050415037.4674116.0811.6716.162215.716120210824126.3748722811062800인천중구운서동2020710
192다사0050415037.467417.044.5817.223614.933920210824126.3748722811062800인천중구운서동2020711
193다사0050415037.4674112.966.3814.697612.085720210824126.3748722811062800인천중구운서동2020712
194다사0050415037.467415.44.0915.14213.9520210824126.3748722811062800인천중구운서동2020713
195다사0050415037.467414.651.8315.022515.320210824126.3748722811062800인천중구운서동2020714
196다사0050415037.4674110.544.016.258115.871420210824126.3748722811062800인천중구운서동2020715
197다사0050415037.4674113.427.2519.770116.146420210824126.3748722811062800인천중구운서동2020716
198다사0050415037.4674117.9610.0419.186616.305420210824126.3748722811062800인천중구운서동2020717
199다사0050415037.4674121.3313.9618.675415.32520210824126.3748722811062800인천중구운서동2020718