Overview

Dataset statistics

Number of variables8
Number of observations124
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.7 KiB
Average record size in memory72.1 B

Variable types

Categorical2
Numeric6

Dataset

Description경기도 시군별 온실가스 배출량
Author경기도
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=VJWZJK4EHADPZ7C4J5LB31529041&infSeq=1

Alerts

기준배출량(tonCO2-eq) is highly overall correlated with 온실가스배출량(tonCO2-eq) and 3 other fieldsHigh correlation
온실가스배출량(tonCO2-eq) is highly overall correlated with 기준배출량(tonCO2-eq) and 2 other fieldsHigh correlation
탄소포인트감축량(tonCO2-eq) is highly overall correlated with 기준배출량(tonCO2-eq) and 2 other fieldsHigh correlation
온실가스감축량(tonCO2-eq) is highly overall correlated with 기준배출량(tonCO2-eq) and 2 other fieldsHigh correlation
시군명 is highly overall correlated with 기준배출량(tonCO2-eq) and 2 other fieldsHigh correlation
온실가스감축률(%) has unique valuesUnique
외부감축사업감축량(tonCO2-eq) has 63 (50.8%) zerosZeros
탄소포인트감축량(tonCO2-eq) has 3 (2.4%) zerosZeros

Reproduction

Analysis started2023-12-10 21:25:27.690857
Analysis finished2023-12-10 21:25:31.373315
Duration3.68 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

년도
Categorical

Distinct4
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2019
31 
2018
31 
2021
31 
2020
31 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2019
2nd row2019
3rd row2019
4th row2019
5th row2019

Common Values

ValueCountFrequency (%)
2019 31
25.0%
2018 31
25.0%
2021 31
25.0%
2020 31
25.0%

Length

2023-12-11T06:25:31.425680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:25:31.522192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2019 31
25.0%
2018 31
25.0%
2021 31
25.0%
2020 31
25.0%

시군명
Categorical

HIGH CORRELATION 

Distinct31
Distinct (%)25.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
양주시
 
4
양평군
 
4
여주시
 
4
연천군
 
4
오산시
 
4
Other values (26)
104 

Length

Max length4
Median length3
Mean length3.0967742
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row양주시
2nd row양평군
3rd row여주시
4th row연천군
5th row오산시

Common Values

ValueCountFrequency (%)
양주시 4
 
3.2%
양평군 4
 
3.2%
여주시 4
 
3.2%
연천군 4
 
3.2%
오산시 4
 
3.2%
용인시 4
 
3.2%
의왕시 4
 
3.2%
의정부시 4
 
3.2%
이천시 4
 
3.2%
파주시 4
 
3.2%
Other values (21) 84
67.7%

Length

2023-12-11T06:25:31.634867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
양주시 4
 
3.2%
과천시 4
 
3.2%
안성시 4
 
3.2%
안산시 4
 
3.2%
시흥시 4
 
3.2%
수원시 4
 
3.2%
성남시 4
 
3.2%
부천시 4
 
3.2%
동두천시 4
 
3.2%
남양주시 4
 
3.2%
Other values (21) 84
67.7%

기준배출량(tonCO2-eq)
Real number (ℝ)

HIGH CORRELATION 

Distinct105
Distinct (%)84.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10561.548
Minimum2803
Maximum27873
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-11T06:25:31.742337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2803
5-th percentile3324.95
Q15901
median9508
Q313275
95-th percentile22336.05
Maximum27873
Range25070
Interquartile range (IQR)7374

Descriptive statistics

Standard deviation6151.5382
Coefficient of variation (CV)0.58244663
Kurtosis0.14008401
Mean10561.548
Median Absolute Deviation (MAD)3707
Skewness0.91674546
Sum1309632
Variance37841423
MonotonicityNot monotonic
2023-12-11T06:25:31.855665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5627 3
 
2.4%
7778 3
 
2.4%
11364 2
 
1.6%
17530 2
 
1.6%
10474 2
 
1.6%
22138 2
 
1.6%
13275 2
 
1.6%
3533 2
 
1.6%
7786 2
 
1.6%
4430 2
 
1.6%
Other values (95) 102
82.3%
ValueCountFrequency (%)
2803 1
0.8%
2867 2
1.6%
2910 1
0.8%
3150 1
0.8%
3176 1
0.8%
3290 1
0.8%
3523 1
0.8%
3531 1
0.8%
3533 2
1.6%
3567 1
0.8%
ValueCountFrequency (%)
27873 1
0.8%
27193 1
0.8%
26644 1
0.8%
26628 1
0.8%
22410 1
0.8%
22377 1
0.8%
22371 1
0.8%
22138 2
1.6%
21779 1
0.8%
20334 1
0.8%

온실가스배출량(tonCO2-eq)
Real number (ℝ)

HIGH CORRELATION 

Distinct123
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8108.7581
Minimum2183
Maximum20149
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-11T06:25:31.969621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2183
5-th percentile2522.6
Q14589
median7033
Q311034.5
95-th percentile17674.65
Maximum20149
Range17966
Interquartile range (IQR)6445.5

Descriptive statistics

Standard deviation4676.0976
Coefficient of variation (CV)0.57667248
Kurtosis-0.14436104
Mean8108.7581
Median Absolute Deviation (MAD)3246
Skewness0.83140716
Sum1005486
Variance21865889
MonotonicityNot monotonic
2023-12-11T06:25:32.087614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7974 2
 
1.6%
2845 1
 
0.8%
5896 1
 
0.8%
3033 1
 
0.8%
6575 1
 
0.8%
3232 1
 
0.8%
13014 1
 
0.8%
5657 1
 
0.8%
16919 1
 
0.8%
15499 1
 
0.8%
Other values (113) 113
91.1%
ValueCountFrequency (%)
2183 1
0.8%
2420 1
0.8%
2441 1
0.8%
2447 1
0.8%
2482 1
0.8%
2495 1
0.8%
2516 1
0.8%
2560 1
0.8%
2666 1
0.8%
2705 1
0.8%
ValueCountFrequency (%)
20149 1
0.8%
19981 1
0.8%
19466 1
0.8%
19383 1
0.8%
18564 1
0.8%
18417 1
0.8%
17808 1
0.8%
16919 1
0.8%
16613 1
0.8%
15767 1
0.8%

외부감축사업감축량(tonCO2-eq)
Real number (ℝ)

ZEROS 

Distinct57
Distinct (%)46.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean179.92742
Minimum0
Maximum1671
Zeros63
Zeros (%)50.8%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-11T06:25:32.209579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3233
95-th percentile825.6
Maximum1671
Range1671
Interquartile range (IQR)233

Descriptive statistics

Standard deviation319.88461
Coefficient of variation (CV)1.7778536
Kurtosis6.6607714
Mean179.92742
Median Absolute Deviation (MAD)0
Skewness2.5134928
Sum22311
Variance102326.17
MonotonicityNot monotonic
2023-12-11T06:25:32.333223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 63
50.8%
214 3
 
2.4%
777 2
 
1.6%
353 2
 
1.6%
121 2
 
1.6%
280 1
 
0.8%
259 1
 
0.8%
812 1
 
0.8%
1427 1
 
0.8%
146 1
 
0.8%
Other values (47) 47
37.9%
ValueCountFrequency (%)
0 63
50.8%
4 1
 
0.8%
10 1
 
0.8%
11 1
 
0.8%
14 1
 
0.8%
15 1
 
0.8%
24 1
 
0.8%
28 1
 
0.8%
40 1
 
0.8%
47 1
 
0.8%
ValueCountFrequency (%)
1671 1
0.8%
1427 1
0.8%
1263 1
0.8%
1250 1
0.8%
1060 1
0.8%
1001 1
0.8%
828 1
0.8%
812 1
0.8%
777 2
1.6%
663 1
0.8%

탄소포인트감축량(tonCO2-eq)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct111
Distinct (%)89.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean730.29032
Minimum0
Maximum2787
Zeros3
Zeros (%)2.4%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-11T06:25:32.452632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile106.95
Q1285.5
median505
Q31042.5
95-th percentile2149.7
Maximum2787
Range2787
Interquartile range (IQR)757

Descriptive statistics

Standard deviation647.25558
Coefficient of variation (CV)0.886299
Kurtosis1.5737328
Mean730.29032
Median Absolute Deviation (MAD)274
Skewness1.4673212
Sum90556
Variance418939.78
MonotonicityNot monotonic
2023-12-11T06:25:32.575453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3
 
2.4%
433 2
 
1.6%
601 2
 
1.6%
249 2
 
1.6%
1227 2
 
1.6%
302 2
 
1.6%
172 2
 
1.6%
353 2
 
1.6%
590 2
 
1.6%
2213 2
 
1.6%
Other values (101) 103
83.1%
ValueCountFrequency (%)
0 3
2.4%
60 1
 
0.8%
96 1
 
0.8%
100 1
 
0.8%
102 1
 
0.8%
135 1
 
0.8%
138 1
 
0.8%
143 1
 
0.8%
147 1
 
0.8%
152 1
 
0.8%
ValueCountFrequency (%)
2787 1
0.8%
2719 1
0.8%
2664 1
0.8%
2662 1
0.8%
2213 2
1.6%
2177 1
0.8%
1995 1
0.8%
1967 2
1.6%
1860 1
0.8%
1833 1
0.8%

온실가스감축량(tonCO2-eq)
Real number (ℝ)

HIGH CORRELATION 

Distinct122
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3363.0081
Minimum23
Maximum12371
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-11T06:25:32.700970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum23
5-th percentile751.05
Q11695.5
median2494.5
Q34205.25
95-th percentile8349.3
Maximum12371
Range12348
Interquartile range (IQR)2509.75

Descriptive statistics

Standard deviation2419.7789
Coefficient of variation (CV)0.71952814
Kurtosis2.5355949
Mean3363.0081
Median Absolute Deviation (MAD)1203.5
Skewness1.4936354
Sum417013
Variance5855330.1
MonotonicityNot monotonic
2023-12-11T06:25:32.847656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1606 2
 
1.6%
3540 2
 
1.6%
3197 1
 
0.8%
4831 1
 
0.8%
1370 1
 
0.8%
7150 1
 
0.8%
2814 1
 
0.8%
12371 1
 
0.8%
8852 1
 
0.8%
5516 1
 
0.8%
Other values (112) 112
90.3%
ValueCountFrequency (%)
23 1
0.8%
99 1
0.8%
302 1
0.8%
635 1
0.8%
656 1
0.8%
671 1
0.8%
747 1
0.8%
774 1
0.8%
879 1
0.8%
932 1
0.8%
ValueCountFrequency (%)
12371 1
0.8%
12243 1
0.8%
10628 1
0.8%
9925 1
0.8%
8852 1
0.8%
8700 1
0.8%
8400 1
0.8%
8062 1
0.8%
7150 1
0.8%
6835 1
0.8%

온실가스감축률(%)
Real number (ℝ)

UNIQUE 

Distinct124
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31.808169
Minimum0.204
Maximum48.769
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-11T06:25:32.988746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.204
5-th percentile11.57205
Q129.31225
median33.1435
Q337.525
95-th percentile44.2487
Maximum48.769
Range48.565
Interquartile range (IQR)8.21275

Descriptive statistics

Standard deviation9.6056673
Coefficient of variation (CV)0.30198743
Kurtosis1.5416266
Mean31.808169
Median Absolute Deviation (MAD)4.325
Skewness-1.1505493
Sum3944.213
Variance92.268843
MonotonicityNot monotonic
2023-12-11T06:25:33.119345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
39.094 1
 
0.8%
41.103 1
 
0.8%
40.009 1
 
0.8%
46.124 1
 
0.8%
30.926 1
 
0.8%
39.005 1
 
0.8%
33.219 1
 
0.8%
46.459 1
 
0.8%
39.986 1
 
0.8%
41.552 1
 
0.8%
Other values (114) 114
91.9%
ValueCountFrequency (%)
0.204 1
0.8%
1.298 1
0.8%
3.958 1
0.8%
7.182 1
0.8%
10.584 1
0.8%
11.355 1
0.8%
11.403 1
0.8%
12.53 1
0.8%
13.659 1
0.8%
14.077 1
0.8%
ValueCountFrequency (%)
48.769 1
0.8%
48.377 1
0.8%
46.459 1
0.8%
46.124 1
0.8%
44.749 1
0.8%
44.337 1
0.8%
44.306 1
0.8%
43.924 1
0.8%
43.733 1
0.8%
43.602 1
0.8%

Interactions

2023-12-11T06:25:30.667033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:25:27.969457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:25:28.456055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:25:28.957798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:25:29.447455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:25:29.923343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:25:30.740646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:25:28.041820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:25:28.538183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:25:29.028013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:25:29.517096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:25:30.225646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:25:30.832039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:25:28.131735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:25:28.623008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:25:29.122087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:25:29.605770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:25:30.324446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:25:30.915017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:25:28.228047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:25:28.708909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:25:29.215588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:25:29.697403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:25:30.423636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:25:31.008950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:25:28.298084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:25:28.795215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:25:29.291956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:25:29.778430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:25:30.494615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:25:31.100531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:25:28.379799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:25:28.888016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:25:29.370445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:25:29.850470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:25:30.578476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T06:25:33.222128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
년도시군명기준배출량(tonCO2-eq)온실가스배출량(tonCO2-eq)외부감축사업감축량(tonCO2-eq)탄소포인트감축량(tonCO2-eq)온실가스감축량(tonCO2-eq)온실가스감축률(%)
년도1.0000.0000.0000.0000.0000.0000.2200.423
시군명0.0001.0000.9850.9400.6560.9540.8670.591
기준배출량(tonCO2-eq)0.0000.9851.0000.8670.2930.9120.8270.298
온실가스배출량(tonCO2-eq)0.0000.9400.8671.0000.4990.7840.8520.551
외부감축사업감축량(tonCO2-eq)0.0000.6560.2930.4991.0000.0000.4890.000
탄소포인트감축량(tonCO2-eq)0.0000.9540.9120.7840.0001.0000.8020.314
온실가스감축량(tonCO2-eq)0.2200.8670.8270.8520.4890.8021.0000.526
온실가스감축률(%)0.4230.5910.2980.5510.0000.3140.5261.000
2023-12-11T06:25:33.332071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
년도시군명
년도1.0000.000
시군명0.0001.000
2023-12-11T06:25:33.405448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기준배출량(tonCO2-eq)온실가스배출량(tonCO2-eq)외부감축사업감축량(tonCO2-eq)탄소포인트감축량(tonCO2-eq)온실가스감축량(tonCO2-eq)온실가스감축률(%)년도시군명
기준배출량(tonCO2-eq)1.0000.984-0.0880.5390.822-0.0060.0000.810
온실가스배출량(tonCO2-eq)0.9841.000-0.0510.4860.734-0.1290.0000.635
외부감축사업감축량(tonCO2-eq)-0.088-0.0511.000-0.166-0.065-0.0090.0000.264
탄소포인트감축량(tonCO2-eq)0.5390.486-0.1661.0000.7540.4520.0000.692
온실가스감축량(tonCO2-eq)0.8220.734-0.0650.7541.0000.4470.1270.478
온실가스감축률(%)-0.006-0.129-0.0090.4520.4471.0000.2580.223
년도0.0000.0000.0000.0000.1270.2581.0000.000
시군명0.8100.6350.2640.6920.4780.2230.0001.000

Missing values

2023-12-11T06:25:31.215820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T06:25:31.327721image/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

년도시군명기준배출량(tonCO2-eq)온실가스배출량(tonCO2-eq)외부감축사업감축량(tonCO2-eq)탄소포인트감축량(tonCO2-eq)온실가스감축량(tonCO2-eq)온실가스감축률(%)
02019양주시410828450343160639.094
12019양평군1767012630251488577932.705
22019여주시1210011057229102137411.355
32019연천군76307328003023.958
42019오산시286724201428674726.055
52019용인시196721480401967683534.745
62019의왕시562737780135198435.259
72019의정부시65234901294518243437.314
82019이천시60135064380601193032.097
92019파주시59014648226590206935.062
년도시군명기준배출량(tonCO2-eq)온실가스배출량(tonCO2-eq)외부감축사업감축량(tonCO2-eq)탄소포인트감축량(tonCO2-eq)온실가스감축량(tonCO2-eq)온실가스감축률(%)
1142019남양주시10739703001049475844.306
1152019동두천시35672801165213114432.072
1162019부천시1327510327831327435832.829
1172019성남시221381780802213654329.556
1182019수원시271931946618227191062839.084
1192021가평군1045593820355142813.659
1202019시흥시8364647728836275132.891
1212019안산시182211436801822567531.145
1222019안성시443035540138101422.889
1232019안양시104747723101047380836.357