Overview

Dataset statistics

Number of variables9
Number of observations40
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.1 KiB
Average record size in memory80.3 B

Variable types

Numeric5
Categorical2
Text2

Dataset

Description연수구 공공건물 내 태양광발전설비 현황을 제공합니다.
Author인천광역시 연수구
URLhttps://www.data.go.kr/data/15096100/fileData.do

Alerts

지자체명 has constant value ""Constant
에너지원 has constant value ""Constant
연번 is highly overall correlated with 설치연도High correlation
설치연도 is highly overall correlated with 연번High correlation
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 16:25:35.186253
Analysis finished2023-12-12 16:25:38.132374
Duration2.95 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct40
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.5
Minimum1
Maximum40
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2023-12-13T01:25:38.197280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.95
Q110.75
median20.5
Q330.25
95-th percentile38.05
Maximum40
Range39
Interquartile range (IQR)19.5

Descriptive statistics

Standard deviation11.690452
Coefficient of variation (CV)0.57026595
Kurtosis-1.2
Mean20.5
Median Absolute Deviation (MAD)10
Skewness0
Sum820
Variance136.66667
MonotonicityStrictly increasing
2023-12-13T01:25:38.356734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
1 1
 
2.5%
22 1
 
2.5%
24 1
 
2.5%
25 1
 
2.5%
26 1
 
2.5%
27 1
 
2.5%
28 1
 
2.5%
29 1
 
2.5%
30 1
 
2.5%
31 1
 
2.5%
Other values (30) 30
75.0%
ValueCountFrequency (%)
1 1
2.5%
2 1
2.5%
3 1
2.5%
4 1
2.5%
5 1
2.5%
6 1
2.5%
7 1
2.5%
8 1
2.5%
9 1
2.5%
10 1
2.5%
ValueCountFrequency (%)
40 1
2.5%
39 1
2.5%
38 1
2.5%
37 1
2.5%
36 1
2.5%
35 1
2.5%
34 1
2.5%
33 1
2.5%
32 1
2.5%
31 1
2.5%

지자체명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
연수구
40 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
연수구 40
100.0%

Length

2023-12-13T01:25:38.491911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:25:38.576400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
연수구 40
100.0%

건물명
Text

Distinct36
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
2023-12-13T01:25:38.781811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length9.5
Mean length7.8
Min length4

Characters and Unicode

Total characters312
Distinct characters93
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique32 ?
Unique (%)80.0%

Sample

1st row연수구청
2nd row송도2동 주민센터
3rd row송도동 복합문화시설
4th row연수구청
5th row연수구의회청사
ValueCountFrequency (%)
주민센터 4
 
7.5%
연수구청 2
 
3.8%
청학문화센터 2
 
3.8%
농원경로당 2
 
3.8%
청소년진로지원센터 2
 
3.8%
함박마을 2
 
3.8%
노인일자리 1
 
1.9%
연수2동행정복지센터 1
 
1.9%
연수체육문화센터 1
 
1.9%
문화복지센터 1
 
1.9%
Other values (35) 35
66.0%
2023-12-13T01:25:39.155585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
터 18
 
5.8%
센 17
 
5.4%
청 13
 
4.2%
13
 
4.2%
동 11
 
3.5%
로 11
 
3.5%
당 10
 
3.2%
연 9
 
2.9%
경 9
 
2.9%
수 9
 
2.9%
Other values (83) 192
61.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 287
92.0%
Space Separator 13
 
4.2%
Decimal Number 12
 
3.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
터 18
 
6.3%
센 17
 
5.9%
청 13
 
4.5%
동 11
 
3.8%
로 11
 
3.8%
당 10
 
3.5%
연 9
 
3.1%
경 9
 
3.1%
수 9
 
3.1%
도 8
 
2.8%
Other values (78) 172
59.9%
Decimal Number
ValueCountFrequency (%)
1 6
50.0%
9 2
 
16.7%
2 2
 
16.7%
3 2
 
16.7%
Space Separator
ValueCountFrequency (%)
13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 287
92.0%
Common 25
 
8.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
터 18
 
6.3%
센 17
 
5.9%
청 13
 
4.5%
동 11
 
3.8%
로 11
 
3.8%
당 10
 
3.5%
연 9
 
3.1%
경 9
 
3.1%
수 9
 
3.1%
도 8
 
2.8%
Other values (78) 172
59.9%
Common
ValueCountFrequency (%)
13
52.0%
1 6
24.0%
9 2
 
8.0%
2 2
 
8.0%
3 2
 
8.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 287
92.0%
ASCII 25
 
8.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
터 18
 
6.3%
센 17
 
5.9%
청 13
 
4.5%
동 11
 
3.8%
로 11
 
3.8%
당 10
 
3.5%
연 9
 
3.1%
경 9
 
3.1%
수 9
 
3.1%
도 8
 
2.8%
Other values (78) 172
59.9%
ASCII
ValueCountFrequency (%)
13
52.0%
1 6
24.0%
9 2
 
8.0%
2 2
 
8.0%
3 2
 
8.0%

위치(주소)
Text

Distinct34
Distinct (%)85.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
2023-12-13T01:25:39.405349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length21
Mean length17.7
Min length11

Characters and Unicode

Total characters708
Distinct characters72
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)72.5%

Sample

1st row연수구 원인재로 115(동춘동)
2nd row연수구 신송로 248(송도동)
3rd row연수구 인천타워대로 54번길 19(송도동)
4th row연수구 원인재로 115(동춘동)
5th row연수구 원인재로 115(동춘동)
ValueCountFrequency (%)
연수구 40
30.5%
원인재로 5
 
3.8%
앵고개로 3
 
2.3%
동곡재로 3
 
2.3%
115(동춘동 3
 
2.3%
함박안로 2
 
1.5%
함박뫼로 2
 
1.5%
156(동춘동 2
 
1.5%
54번길 2
 
1.5%
12번길 2
 
1.5%
Other values (60) 67
51.1%
2023-12-13T01:25:39.780342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
105
14.8%
동 50
 
7.1%
연 46
 
6.5%
수 46
 
6.5%
구 40
 
5.6%
로 39
 
5.5%
) 36
 
5.1%
( 36
 
5.1%
1 32
 
4.5%
5 18
 
2.5%
Other values (62) 260
36.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 404
57.1%
Decimal Number 125
 
17.7%
Space Separator 105
 
14.8%
Close Punctuation 36
 
5.1%
Open Punctuation 36
 
5.1%
Dash Punctuation 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 50
12.4%
연 46
 
11.4%
수 46
 
11.4%
구 40
 
9.9%
로 39
 
9.7%
학 16
 
4.0%
청 15
 
3.7%
번 13
 
3.2%
길 13
 
3.2%
송 11
 
2.7%
Other values (48) 115
28.5%
Decimal Number
ValueCountFrequency (%)
1 32
25.6%
5 18
14.4%
2 17
13.6%
6 11
 
8.8%
3 10
 
8.0%
0 8
 
6.4%
8 8
 
6.4%
9 8
 
6.4%
4 7
 
5.6%
7 6
 
4.8%
Space Separator
ValueCountFrequency (%)
105
100.0%
Close Punctuation
ValueCountFrequency (%)
) 36
100.0%
Open Punctuation
ValueCountFrequency (%)
( 36
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 404
57.1%
Common 304
42.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 50
12.4%
연 46
 
11.4%
수 46
 
11.4%
구 40
 
9.9%
로 39
 
9.7%
학 16
 
4.0%
청 15
 
3.7%
번 13
 
3.2%
길 13
 
3.2%
송 11
 
2.7%
Other values (48) 115
28.5%
Common
ValueCountFrequency (%)
105
34.5%
) 36
 
11.8%
( 36
 
11.8%
1 32
 
10.5%
5 18
 
5.9%
2 17
 
5.6%
6 11
 
3.6%
3 10
 
3.3%
0 8
 
2.6%
8 8
 
2.6%
Other values (4) 23
 
7.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 404
57.1%
ASCII 304
42.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
105
34.5%
) 36
 
11.8%
( 36
 
11.8%
1 32
 
10.5%
5 18
 
5.9%
2 17
 
5.6%
6 11
 
3.6%
3 10
 
3.3%
0 8
 
2.6%
8 8
 
2.6%
Other values (4) 23
 
7.6%
Hangul
ValueCountFrequency (%)
동 50
12.4%
연 46
 
11.4%
수 46
 
11.4%
구 40
 
9.9%
로 39
 
9.7%
학 16
 
4.0%
청 15
 
3.7%
번 13
 
3.2%
길 13
 
3.2%
송 11
 
2.7%
Other values (48) 115
28.5%

에너지원
Categorical

CONSTANT 

Distinct1
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
태양광
40 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
태양광 40
100.0%

Length

2023-12-13T01:25:39.927460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:25:40.026062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
태양광 40
100.0%

발전용량(kW)
Real number (ℝ)

Distinct25
Distinct (%)62.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.01725
Minimum3
Maximum121.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2023-12-13T01:25:40.131617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile3
Q17.5
median20
Q339.1725
95-th percentile82.35
Maximum121.6
Range118.6
Interquartile range (IQR)31.6725

Descriptive statistics

Standard deviation28.941995
Coefficient of variation (CV)0.99740655
Kurtosis2.3900168
Mean29.01725
Median Absolute Deviation (MAD)15
Skewness1.5916847
Sum1160.69
Variance837.63908
MonotonicityNot monotonic
2023-12-13T01:25:40.264225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
3.0 5
 
12.5%
5.0 4
 
10.0%
12.0 3
 
7.5%
20.0 3
 
7.5%
60.0 2
 
5.0%
15.0 2
 
5.0%
25.0 2
 
5.0%
30.0 2
 
5.0%
33.0 1
 
2.5%
75.6 1
 
2.5%
Other values (15) 15
37.5%
ValueCountFrequency (%)
3.0 5
12.5%
5.0 4
10.0%
6.0 1
 
2.5%
8.0 1
 
2.5%
9.3 1
 
2.5%
10.0 1
 
2.5%
12.0 3
7.5%
15.0 2
 
5.0%
16.5 1
 
2.5%
20.0 3
7.5%
ValueCountFrequency (%)
121.6 1
2.5%
108.0 1
2.5%
81.0 1
2.5%
75.6 1
2.5%
60.0 2
5.0%
58.0 1
2.5%
55.0 1
2.5%
41.0 1
2.5%
39.69 1
2.5%
39.0 1
2.5%

설치연도
Real number (ℝ)

HIGH CORRELATION 

Distinct10
Distinct (%)25.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2017.7
Minimum2011
Maximum2021
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2023-12-13T01:25:40.399571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2011
5-th percentile2013.95
Q12016.75
median2018
Q32019
95-th percentile2021
Maximum2021
Range10
Interquartile range (IQR)2.25

Descriptive statistics

Standard deviation2.2668175
Coefficient of variation (CV)0.0011234661
Kurtosis0.83924603
Mean2017.7
Median Absolute Deviation (MAD)1
Skewness-0.84475571
Sum80708
Variance5.1384615
MonotonicityIncreasing
2023-12-13T01:25:40.499049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
2019 10
25.0%
2018 7
17.5%
2017 6
15.0%
2016 4
 
10.0%
2021 4
 
10.0%
2020 3
 
7.5%
2014 2
 
5.0%
2015 2
 
5.0%
2011 1
 
2.5%
2013 1
 
2.5%
ValueCountFrequency (%)
2011 1
 
2.5%
2013 1
 
2.5%
2014 2
 
5.0%
2015 2
 
5.0%
2016 4
 
10.0%
2017 6
15.0%
2018 7
17.5%
2019 10
25.0%
2020 3
 
7.5%
2021 4
 
10.0%
ValueCountFrequency (%)
2021 4
 
10.0%
2020 3
 
7.5%
2019 10
25.0%
2018 7
17.5%
2017 6
15.0%
2016 4
 
10.0%
2015 2
 
5.0%
2014 2
 
5.0%
2013 1
 
2.5%
2011 1
 
2.5%

X좌표
Real number (ℝ)

Distinct33
Distinct (%)82.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.66964
Minimum126.64164
Maximum126.69958
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2023-12-13T01:25:40.614119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.64164
5-th percentile126.65166
Q1126.66235
median126.66776
Q3126.67834
95-th percentile126.69523
Maximum126.69958
Range0.0579347
Interquartile range (IQR)0.015989875

Descriptive statistics

Standard deviation0.01358956
Coefficient of variation (CV)0.00010728348
Kurtosis-0.018376709
Mean126.66964
Median Absolute Deviation (MAD)0.00830775
Skewness0.29400344
Sum5066.7858
Variance0.00018467615
MonotonicityNot monotonic
2023-12-13T01:25:40.741705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
126.6783436 3
 
7.5%
126.6661184 2
 
5.0%
126.6666131 2
 
5.0%
126.6706743 2
 
5.0%
126.6598602 2
 
5.0%
126.6676655 2
 
5.0%
126.6640605 1
 
2.5%
126.6695866 1
 
2.5%
126.6519265 1
 
2.5%
126.6531798 1
 
2.5%
Other values (23) 23
57.5%
ValueCountFrequency (%)
126.6416437 1
2.5%
126.6465722 1
2.5%
126.6519265 1
2.5%
126.6520839 1
2.5%
126.652206 1
2.5%
126.6524816 1
2.5%
126.6531798 1
2.5%
126.6590429 1
2.5%
126.6598602 2
5.0%
126.6631849 1
2.5%
ValueCountFrequency (%)
126.6995784 1
 
2.5%
126.6978831 1
 
2.5%
126.6950857 1
 
2.5%
126.6919646 1
 
2.5%
126.6871603 1
 
2.5%
126.6830017 1
 
2.5%
126.6823495 1
 
2.5%
126.6818298 1
 
2.5%
126.6783436 3
7.5%
126.6772822 1
 
2.5%

Y좌표
Real number (ℝ)

Distinct33
Distinct (%)82.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.4131
Minimum37.371615
Maximum37.435707
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2023-12-13T01:25:40.880021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.371615
5-th percentile37.379372
Q137.409472
median37.417107
Q337.425545
95-th percentile37.428716
Maximum37.435707
Range0.06409259
Interquartile range (IQR)0.016073012

Descriptive statistics

Standard deviation0.015719094
Coefficient of variation (CV)0.00042014946
Kurtosis1.2368737
Mean37.4131
Median Absolute Deviation (MAD)0.007798225
Skewness-1.30141
Sum1496.524
Variance0.0002470899
MonotonicityNot monotonic
2023-12-13T01:25:41.032260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
37.409495 3
 
7.5%
37.41351163 2
 
5.0%
37.42767249 2
 
5.0%
37.40947218 2
 
5.0%
37.37161463 2
 
5.0%
37.42630576 2
 
5.0%
37.40789297 1
 
2.5%
37.3866366 1
 
2.5%
37.42066722 1
 
2.5%
37.42070852 1
 
2.5%
Other values (23) 23
57.5%
ValueCountFrequency (%)
37.37161463 2
5.0%
37.37978007 1
 
2.5%
37.38582382 1
 
2.5%
37.3866366 1
 
2.5%
37.3910519 1
 
2.5%
37.40326775 1
 
2.5%
37.40789297 1
 
2.5%
37.40914571 1
 
2.5%
37.40947218 2
5.0%
37.409495 3
7.5%
ValueCountFrequency (%)
37.43570722 1
2.5%
37.42984985 1
2.5%
37.42865585 1
2.5%
37.42777055 1
2.5%
37.42767249 2
5.0%
37.42630576 2
5.0%
37.42603595 1
2.5%
37.42598305 1
2.5%
37.42539924 1
2.5%
37.42426018 1
2.5%

Interactions

2023-12-13T01:25:37.498474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:25:35.474440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:25:36.186403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:25:36.616827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:25:37.039215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:25:37.591511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:25:35.561244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:25:36.274859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:25:36.703018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:25:37.149425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:25:37.677194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:25:35.645351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:25:36.357038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:25:36.783802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:25:37.239001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:25:37.751946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:25:36.008664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:25:36.431592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:25:36.856503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:25:37.321014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:25:37.842415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:25:36.093925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:25:36.518882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:25:36.954665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:25:37.400024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T01:25:41.143785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번건물명위치(주소)발전용량(kW)설치연도X좌표Y좌표
연번1.0000.8920.7650.0000.9230.4730.000
건물명0.8921.0000.9950.2500.9031.0001.000
위치(주소)0.7650.9951.0000.0000.8301.0001.000
발전용량(kW)0.0000.2500.0001.0000.3910.0000.161
설치연도0.9230.9030.8300.3911.0000.4150.692
X좌표0.4731.0001.0000.0000.4151.0000.742
Y좌표0.0001.0001.0000.1610.6920.7421.000
2023-12-13T01:25:41.272689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번발전용량(kW)설치연도X좌표Y좌표
연번1.000-0.1100.9870.0570.182
발전용량(kW)-0.1101.000-0.0710.041-0.211
설치연도0.987-0.0711.0000.1010.170
X좌표0.0570.0410.1011.0000.315
Y좌표0.182-0.2110.1700.3151.000

Missing values

2023-12-13T01:25:37.963661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T01:25:38.085821image/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

연번지자체명건물명위치(주소)에너지원발전용량(kW)설치연도X좌표Y좌표
01연수구연수구청연수구 원인재로 115(동춘동)태양광33.02011126.67834437.409495
12연수구송도2동 주민센터연수구 신송로 248(송도동)태양광25.02013126.64164437.403268
23연수구송도동 복합문화시설연수구 인천타워대로 54번길 19(송도동)태양광60.02014126.64657237.37978
34연수구연수구청연수구 원인재로 115(동춘동)태양광121.62014126.67834437.409495
45연수구연수구의회청사연수구 원인재로 115(동춘동)태양광60.02015126.67834437.409495
56연수구청학경로당연수구 계림로 71-8(청학동)태양광5.02015126.66752237.428656
67연수구송도1동주민센터연수구 하모니로 35번길 8(송도동)태양광12.02016126.65208437.391052
78연수구해돋이공원도서관연수구 해돋이로 7(송도동)태양광20.02016126.65904337.385824
89연수구연수1동 주민센터연수구 함박뫼로 87(연수동)태양광39.692016126.67728237.42426
910연수구선학종합사회복지관연수구 선학로 14(선학동)태양광6.02016126.69508637.417853
연번지자체명건물명위치(주소)에너지원발전용량(kW)설치연도X좌표Y좌표
3031연수구청학골경로당연수구 솔샘로 101(청학동)태양광3.02019126.66318537.425399
3132연수구인천시립박물관연수구 청량로160번길 26태양광81.02019126.6531837.420709
3233연수구옥련119안전센터연수구 청량로155번길 7태양광16.52019126.65192737.420667
3334연수구청학문화센터연수구 비류대로 299(청학동)태양광39.02020126.66766537.426306
3435연수구송도체육센터연수구 송도과학로51번길 80(송도동)태양광108.02020126.66958737.386637
3536연수구연수구 영어체험센터연수구 봉재산로 54번길 30(동춘동)태양광25.02020126.66406137.407893
3637연수구청소년진로지원센터연수구 앵고개로 235(동춘동)태양광10.02021126.67067437.409472
3738연수구연수2동행정복지센터연수구 원인재로 158(연수동)태양광30.02021126.6818337.411669
3839연수구동춘119안전센터연수구 앵고개로 241 (동춘동)태양광15.02021126.6712937.409146
3940연수구청량터널연수구 청학동 456태양광15.02021126.66685437.417232