Overview

Dataset statistics

Number of variables9
Number of observations30
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.4 KiB
Average record size in memory81.3 B

Variable types

Numeric5
Text2
Categorical1
DateTime1

Dataset

Description시설명, 소재지, 설치연도, 설비용량, 발전유형, 설치면적, 발전량(2023년) 등에 관한 자료를 제공합니다.
Author서울특별시 성북구
URLhttps://www.data.go.kr/data/15126221/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
연번 is highly overall correlated with 설치연도 and 1 other fieldsHigh correlation
설치연도 is highly overall correlated with 연번High correlation
설비용량(킬로와트) is highly overall correlated with 설치면적(제곱미터) and 2 other fieldsHigh correlation
설치면적(제곱미터) is highly overall correlated with 설비용량(킬로와트) and 2 other fieldsHigh correlation
발전량(킬로와트시) is highly overall correlated with 설비용량(킬로와트) and 1 other fieldsHigh correlation
발전유형 is highly overall correlated with 연번 and 2 other fieldsHigh correlation
연번 has unique valuesUnique

Reproduction

Analysis started2024-03-14 14:32:30.454613
Analysis finished2024-03-14 14:32:37.344879
Duration6.89 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.5
Minimum1
Maximum30
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size398.0 B
2024-03-14T23:32:37.520065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.45
Q18.25
median15.5
Q322.75
95-th percentile28.55
Maximum30
Range29
Interquartile range (IQR)14.5

Descriptive statistics

Standard deviation8.8034084
Coefficient of variation (CV)0.56796183
Kurtosis-1.2
Mean15.5
Median Absolute Deviation (MAD)7.5
Skewness0
Sum465
Variance77.5
MonotonicityStrictly increasing
2024-03-14T23:32:37.916610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
1 1
 
3.3%
17 1
 
3.3%
30 1
 
3.3%
29 1
 
3.3%
28 1
 
3.3%
27 1
 
3.3%
26 1
 
3.3%
25 1
 
3.3%
24 1
 
3.3%
23 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
1 1
3.3%
2 1
3.3%
3 1
3.3%
4 1
3.3%
5 1
3.3%
6 1
3.3%
7 1
3.3%
8 1
3.3%
9 1
3.3%
10 1
3.3%
ValueCountFrequency (%)
30 1
3.3%
29 1
3.3%
28 1
3.3%
27 1
3.3%
26 1
3.3%
25 1
3.3%
24 1
3.3%
23 1
3.3%
22 1
3.3%
21 1
3.3%

시설명
Text

Distinct29
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Memory size368.0 B
2024-03-14T23:32:38.744601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length12
Mean length8.9333333
Min length4

Characters and Unicode

Total characters268
Distinct characters105
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique28 ?
Unique (%)93.3%

Sample

1st row성북장애인종합복지관 및 보훈회관
2nd row정릉종합사회복지관
3rd row아리랑시네센터
4th row성북근린공원 공중화장실
5th row성북구민체육관
ValueCountFrequency (%)
정릉종합사회복지관 2
 
5.7%
정릉1동커뮤니티센터 1
 
2.9%
보훈회관 1
 
2.9%
북악경로당(시립북악노인정 1
 
2.9%
석관실버복지센터 1
 
2.9%
삼덕마을주민공동이용시설 1
 
2.9%
푸른샘어린이집 1
 
2.9%
소리어린이집 1
 
2.9%
장위청소년문화누림센터 1
 
2.9%
오동근린배드민턴장 1
 
2.9%
Other values (24) 24
68.6%
2024-03-14T23:32:40.018114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
북 12
 
4.5%
관 10
 
3.7%
성 10
 
3.7%
장 8
 
3.0%
센 7
 
2.6%
소 7
 
2.6%
터 7
 
2.6%
동 6
 
2.2%
정 6
 
2.2%
복 6
 
2.2%
Other values (95) 189
70.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 255
95.1%
Decimal Number 6
 
2.2%
Space Separator 5
 
1.9%
Close Punctuation 1
 
0.4%
Open Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
북 12
 
4.7%
관 10
 
3.9%
성 10
 
3.9%
장 8
 
3.1%
센 7
 
2.7%
소 7
 
2.7%
터 7
 
2.7%
동 6
 
2.4%
정 6
 
2.4%
복 6
 
2.4%
Other values (88) 176
69.0%
Decimal Number
ValueCountFrequency (%)
1 2
33.3%
3 2
33.3%
2 1
16.7%
4 1
16.7%
Space Separator
ValueCountFrequency (%)
5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 255
95.1%
Common 13
 
4.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
북 12
 
4.7%
관 10
 
3.9%
성 10
 
3.9%
장 8
 
3.1%
센 7
 
2.7%
소 7
 
2.7%
터 7
 
2.7%
동 6
 
2.4%
정 6
 
2.4%
복 6
 
2.4%
Other values (88) 176
69.0%
Common
ValueCountFrequency (%)
5
38.5%
1 2
 
15.4%
3 2
 
15.4%
2 1
 
7.7%
4 1
 
7.7%
) 1
 
7.7%
( 1
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 255
95.1%
ASCII 13
 
4.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
북 12
 
4.7%
관 10
 
3.9%
성 10
 
3.9%
장 8
 
3.1%
센 7
 
2.7%
소 7
 
2.7%
터 7
 
2.7%
동 6
 
2.4%
정 6
 
2.4%
복 6
 
2.4%
Other values (88) 176
69.0%
ASCII
ValueCountFrequency (%)
5
38.5%
1 2
 
15.4%
3 2
 
15.4%
2 1
 
7.7%
4 1
 
7.7%
) 1
 
7.7%
( 1
 
7.7%

소재지
Text

Distinct28
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Memory size368.0 B
2024-03-14T23:32:40.905854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length20
Mean length19.266667
Min length17

Characters and Unicode

Total characters578
Distinct characters54
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)86.7%

Sample

1st row서울특별시 성북구 화랑로 130
2nd row서울특별시 성북구 솔샘로5길 92
3rd row서울특별시 성북구 아리랑로 82
4th row서울특별시 성북구 성북동 168-274
5th row서울특별시 성북구 화랑로13길 144
ValueCountFrequency (%)
서울특별시 30
25.0%
성북구 30
25.0%
화랑로 2
 
1.7%
화랑로13길 2
 
1.7%
144 2
 
1.7%
솔샘로5길 2
 
1.7%
92 2
 
1.7%
북악산로 2
 
1.7%
장월로 1
 
0.8%
6 1
 
0.8%
Other values (46) 46
38.3%
2024-03-14T23:32:42.187800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
91
15.7%
북 33
 
5.7%
성 31
 
5.4%
서 30
 
5.2%
울 30
 
5.2%
특 30
 
5.2%
별 30
 
5.2%
시 30
 
5.2%
구 30
 
5.2%
로 28
 
4.8%
Other values (44) 215
37.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 362
62.6%
Decimal Number 116
 
20.1%
Space Separator 91
 
15.7%
Dash Punctuation 9
 
1.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
북 33
9.1%
성 31
8.6%
서 30
8.3%
울 30
8.3%
특 30
8.3%
별 30
8.3%
시 30
8.3%
구 30
8.3%
로 28
 
7.7%
길 19
 
5.2%
Other values (32) 71
19.6%
Decimal Number
ValueCountFrequency (%)
1 23
19.8%
2 16
13.8%
3 14
12.1%
8 13
11.2%
6 13
11.2%
9 11
9.5%
4 9
 
7.8%
5 7
 
6.0%
0 5
 
4.3%
7 5
 
4.3%
Space Separator
ValueCountFrequency (%)
91
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 362
62.6%
Common 216
37.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
북 33
9.1%
성 31
8.6%
서 30
8.3%
울 30
8.3%
특 30
8.3%
별 30
8.3%
시 30
8.3%
구 30
8.3%
로 28
 
7.7%
길 19
 
5.2%
Other values (32) 71
19.6%
Common
ValueCountFrequency (%)
91
42.1%
1 23
 
10.6%
2 16
 
7.4%
3 14
 
6.5%
8 13
 
6.0%
6 13
 
6.0%
9 11
 
5.1%
4 9
 
4.2%
- 9
 
4.2%
5 7
 
3.2%
Other values (2) 10
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 362
62.6%
ASCII 216
37.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
91
42.1%
1 23
 
10.6%
2 16
 
7.4%
3 14
 
6.5%
8 13
 
6.0%
6 13
 
6.0%
9 11
 
5.1%
4 9
 
4.2%
- 9
 
4.2%
5 7
 
3.2%
Other values (2) 10
 
4.6%
Hangul
ValueCountFrequency (%)
북 33
9.1%
성 31
8.6%
서 30
8.3%
울 30
8.3%
특 30
8.3%
별 30
8.3%
시 30
8.3%
구 30
8.3%
로 28
 
7.7%
길 19
 
5.2%
Other values (32) 71
19.6%

설치연도
Real number (ℝ)

HIGH CORRELATION 

Distinct12
Distinct (%)40.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2018.5667
Minimum2007
Maximum2108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size398.0 B
2024-03-14T23:32:42.549326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2007
5-th percentile2009
Q12013
median2016
Q32019.75
95-th percentile2021.55
Maximum2108
Range101
Interquartile range (IQR)6.75

Descriptive statistics

Standard deviation17.399333
Coefficient of variation (CV)0.0086196473
Kurtosis26.299374
Mean2018.5667
Median Absolute Deviation (MAD)3.5
Skewness4.9732722
Sum60557
Variance302.73678
MonotonicityNot monotonic
2024-03-14T23:32:42.918301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
2015 6
20.0%
2017 5
16.7%
2020 4
13.3%
2009 3
10.0%
2010 2
 
6.7%
2013 2
 
6.7%
2019 2
 
6.7%
2021 2
 
6.7%
2007 1
 
3.3%
2012 1
 
3.3%
Other values (2) 2
 
6.7%
ValueCountFrequency (%)
2007 1
 
3.3%
2009 3
10.0%
2010 2
 
6.7%
2012 1
 
3.3%
2013 2
 
6.7%
2015 6
20.0%
2017 5
16.7%
2019 2
 
6.7%
2020 4
13.3%
2021 2
 
6.7%
ValueCountFrequency (%)
2108 1
 
3.3%
2022 1
 
3.3%
2021 2
 
6.7%
2020 4
13.3%
2019 2
 
6.7%
2017 5
16.7%
2015 6
20.0%
2013 2
 
6.7%
2012 1
 
3.3%
2010 2
 
6.7%

설비용량(킬로와트)
Real number (ℝ)

HIGH CORRELATION 

Distinct14
Distinct (%)46.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.504
Minimum3
Maximum81
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size398.0 B
2024-03-14T23:32:43.259629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile3
Q13
median8.86
Q319.75
95-th percentile55.5
Maximum81
Range78
Interquartile range (IQR)16.75

Descriptive statistics

Standard deviation18.438794
Coefficient of variation (CV)1.2712903
Kurtosis6.0758773
Mean14.504
Median Absolute Deviation (MAD)5.86
Skewness2.4498737
Sum435.12
Variance339.98914
MonotonicityNot monotonic
2024-03-14T23:32:43.861819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
3.0 10
33.3%
10.0 5
16.7%
5.0 3
 
10.0%
20.0 2
 
6.7%
5.76 1
 
3.3%
9.72 1
 
3.3%
60.0 1
 
3.3%
50.0 1
 
3.3%
19.0 1
 
3.3%
21.0 1
 
3.3%
Other values (4) 4
 
13.3%
ValueCountFrequency (%)
3.0 10
33.3%
5.0 3
 
10.0%
5.76 1
 
3.3%
8.0 1
 
3.3%
9.72 1
 
3.3%
10.0 5
16.7%
19.0 1
 
3.3%
20.0 2
 
6.7%
20.64 1
 
3.3%
21.0 1
 
3.3%
ValueCountFrequency (%)
81.0 1
 
3.3%
60.0 1
 
3.3%
50.0 1
 
3.3%
25.0 1
 
3.3%
21.0 1
 
3.3%
20.64 1
 
3.3%
20.0 2
 
6.7%
19.0 1
 
3.3%
10.0 5
16.7%
9.72 1
 
3.3%

발전유형
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size368.0 B
자가소비
26 
발전사업
4 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
자가소비 26
86.7%
발전사업 4
 
13.3%

Length

2024-03-14T23:32:44.270315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T23:32:44.578924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
자가소비 26
86.7%
발전사업 4
 
13.3%

설치면적(제곱미터)
Real number (ℝ)

HIGH CORRELATION 

Distinct19
Distinct (%)63.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean104.6
Minimum16
Maximum480
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size398.0 B
2024-03-14T23:32:44.883171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum16
5-th percentile16
Q124
median68
Q3135
95-th percentile376.5
Maximum480
Range464
Interquartile range (IQR)111

Descriptive statistics

Standard deviation118.28796
Coefficient of variation (CV)1.13086
Kurtosis3.4940465
Mean104.6
Median Absolute Deviation (MAD)44
Skewness1.9589154
Sum3138
Variance13992.041
MonotonicityNot monotonic
2024-03-14T23:32:45.272148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
16 4
13.3%
24 3
 
10.0%
80 3
 
10.0%
96 2
 
6.7%
160 2
 
6.7%
48 2
 
6.7%
20 2
 
6.7%
72 1
 
3.3%
390 1
 
3.3%
28 1
 
3.3%
Other values (9) 9
30.0%
ValueCountFrequency (%)
16 4
13.3%
20 2
6.7%
24 3
10.0%
28 1
 
3.3%
32 1
 
3.3%
36 1
 
3.3%
48 2
6.7%
64 1
 
3.3%
72 1
 
3.3%
80 3
10.0%
ValueCountFrequency (%)
480 1
 
3.3%
390 1
 
3.3%
360 1
 
3.3%
208 1
 
3.3%
192 1
 
3.3%
160 2
6.7%
144 1
 
3.3%
108 1
 
3.3%
96 2
6.7%
80 3
10.0%

발전량(킬로와트시)
Real number (ℝ)

HIGH CORRELATION 

Distinct28
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean86942.8
Minimum4694
Maximum510182
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size398.0 B
2024-03-14T23:32:45.642764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4694
5-th percentile14397.9
Q123407
median52647.5
Q3122394.5
95-th percentile221798.8
Maximum510182
Range505488
Interquartile range (IQR)98987.5

Descriptive statistics

Standard deviation100547.02
Coefficient of variation (CV)1.1564732
Kurtosis10.397497
Mean86942.8
Median Absolute Deviation (MAD)33171
Skewness2.8377845
Sum2608284
Variance1.0109703 × 1010
MonotonicityNot monotonic
2024-03-14T23:32:46.031585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
21117 2
 
6.7%
18688 2
 
6.7%
92506 1
 
3.3%
30275 1
 
3.3%
134554 1
 
3.3%
58867 1
 
3.3%
510182 1
 
3.3%
17567 1
 
3.3%
28125 1
 
3.3%
54943 1
 
3.3%
Other values (18) 18
60.0%
ValueCountFrequency (%)
4694 1
3.3%
11805 1
3.3%
17567 1
3.3%
18688 2
6.7%
21117 2
6.7%
22426 1
3.3%
26350 1
3.3%
28125 1
3.3%
30275 1
3.3%
32797 1
3.3%
ValueCountFrequency (%)
510182 1
3.3%
230797 1
3.3%
210801 1
3.3%
173798 1
3.3%
151373 1
3.3%
134554 1
3.3%
133175 1
3.3%
129928 1
3.3%
99794 1
3.3%
92506 1
3.3%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size368.0 B
Minimum2023-12-31 00:00:00
Maximum2023-12-31 00:00:00
2024-03-14T23:32:46.367364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:32:46.671583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-03-14T23:32:35.371009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:32:30.872705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:32:32.113607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:32:33.076968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:32:34.139554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:32:35.617542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:32:31.123636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:32:32.356282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:32:33.232669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:32:34.387562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:32:35.857195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:32:31.363695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:32:32.586789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:32:33.379261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:32:34.622426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:32:36.124902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:32:31.627891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:32:32.800114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:32:33.625595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:32:34.887959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:32:36.369399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:32:31.870064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:32:32.937807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:32:33.887365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:32:35.126860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T23:32:46.892146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번시설명소재지설치연도설비용량(킬로와트)발전유형설치면적(제곱미터)발전량(킬로와트시)
연번1.0000.9270.8490.8070.6580.9710.6290.430
시설명0.9271.0001.0000.8291.0001.0000.9800.955
소재지0.8491.0001.0000.9511.0001.0000.0000.978
설치연도0.8070.8290.9511.0000.0000.0770.0000.000
설비용량(킬로와트)0.6581.0001.0000.0001.0000.5200.9720.751
발전유형0.9711.0001.0000.0770.5201.0000.8400.000
설치면적(제곱미터)0.6290.9800.0000.0000.9720.8401.0000.841
발전량(킬로와트시)0.4300.9550.9780.0000.7510.0000.8411.000
2024-03-14T23:32:47.196117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번설치연도설비용량(킬로와트)설치면적(제곱미터)발전량(킬로와트시)발전유형
연번1.0000.972-0.226-0.461-0.3080.718
설치연도0.9721.000-0.274-0.492-0.3620.091
설비용량(킬로와트)-0.226-0.2741.0000.9470.7060.593
설치면적(제곱미터)-0.461-0.4920.9471.0000.7680.581
발전량(킬로와트시)-0.308-0.3620.7060.7681.0000.000
발전유형0.7180.0910.5930.5810.0001.000

Missing values

2024-03-14T23:32:36.709423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T23:32:37.161998image/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

연번시설명소재지설치연도설비용량(킬로와트)발전유형설치면적(제곱미터)발전량(킬로와트시)데이터기준일자
01성북장애인종합복지관 및 보훈회관서울특별시 성북구 화랑로 13020075.0자가소비72925062023-12-31
12정릉종합사회복지관서울특별시 성북구 솔샘로5길 9220095.76자가소비64829752023-12-31
23아리랑시네센터서울특별시 성북구 아리랑로 8220099.72자가소비1081299282023-12-31
34성북근린공원 공중화장실서울특별시 성북구 성북동 168-27420093.0자가소비36496172023-12-31
45성북구민체육관서울특별시 성북구 화랑로13길 144201020.0자가소비2082307972023-12-31
56장위3동어린이집서울특별시 성북구 돌곶이로32길 43201010.0자가소비96997942023-12-31
67석관동주민센터서울특별시 성북구 화랑로 296201210.0자가소비80850302023-12-31
78성북정보도서관서울특별시 성북구 화랑로18자길 13201320.0자가소비1601513732023-12-31
89성북나눔발전소1호서울특별시 성북구 북악산로 949-60201360.0발전사업480663242023-12-31
910성북나눔발전소2호서울특별시 성북구 장위동 157-21201510.0발전사업8046942023-12-31
연번시설명소재지설치연도설비용량(킬로와트)발전유형설치면적(제곱미터)발전량(킬로와트시)데이터기준일자
2021푸른샘어린이집서울특별시 성북구 장위로19길 3521083.0자가소비24327972023-12-31
2122정릉종합사회복지관서울특별시 성북구 솔샘로5길 9220198.0자가소비48549432023-12-31
2223소리어린이집서울특별시 성북구 오패산로 98-1220193.0자가소비16186882023-12-31
2324정릉1동커뮤니티센터서울특별시 성북구 정릉로38가길 620205.0자가소비28281252023-12-31
2425장위청소년문화누림센터서울특별시 성북구 장월로 89-620203.0자가소비16211172023-12-31
2526장위행복누림복지센터서울특별시 성북구 장위로21다길 5320203.0자가소비16175672023-12-31
2627서울성북미디어문화마루서울특별시 성북구 길음로7길 20202081.0자가소비3905101822023-12-31
2728청년살이발전소서울특별시 성북구 정릉로23길 56202110.0자가소비48588672023-12-31
2829정릉시장 고객편의센터서울특별시 성북구 보국문로11길 18-1920213.0자가소비16211172023-12-31
2930석관미리내도서관서울특별시 성북구 한천로66길 203202220.64자가소비961345542023-12-31