Overview

Dataset statistics

Number of variables10
Number of observations38
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.2 KiB
Average record size in memory85.5 B

Variable types

Numeric2
Text4
DateTime2
Categorical2

Dataset

Description서울특별시 송파구_태양광발전설치현황에 대한 데이터로 발전소명, 설비용량(kW), 소재지도로명주소, 소재지지번주소, 최초허가일, 사업개시일, 발전유형 등에 항목으로 제공합니다.
Author서울특별시 송파구
URLhttps://www.data.go.kr/data/15034094/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
설비용량(kW) is highly overall correlated with 발전유형High correlation
발전유형 is highly overall correlated with 설비용량(kW)High correlation
발전유형 is highly imbalanced (60.2%)Imbalance
연번 has unique valuesUnique

Reproduction

Analysis started2024-01-14 13:43:23.430129
Analysis finished2024-01-14 13:43:26.731139
Duration3.3 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.5
Minimum1
Maximum38
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2024-01-14T22:43:26.832315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.85
Q110.25
median19.5
Q328.75
95-th percentile36.15
Maximum38
Range37
Interquartile range (IQR)18.5

Descriptive statistics

Standard deviation11.113055
Coefficient of variation (CV)0.56990028
Kurtosis-1.2
Mean19.5
Median Absolute Deviation (MAD)9.5
Skewness0
Sum741
Variance123.5
MonotonicityStrictly increasing
2024-01-14T22:43:27.013047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
1 1
 
2.6%
30 1
 
2.6%
23 1
 
2.6%
24 1
 
2.6%
25 1
 
2.6%
26 1
 
2.6%
27 1
 
2.6%
28 1
 
2.6%
29 1
 
2.6%
31 1
 
2.6%
Other values (28) 28
73.7%
ValueCountFrequency (%)
1 1
2.6%
2 1
2.6%
3 1
2.6%
4 1
2.6%
5 1
2.6%
6 1
2.6%
7 1
2.6%
8 1
2.6%
9 1
2.6%
10 1
2.6%
ValueCountFrequency (%)
38 1
2.6%
37 1
2.6%
36 1
2.6%
35 1
2.6%
34 1
2.6%
33 1
2.6%
32 1
2.6%
31 1
2.6%
30 1
2.6%
29 1
2.6%

발전소명
Text

Distinct36
Distinct (%)94.7%
Missing0
Missing (%)0.0%
Memory size436.0 B
2024-01-14T22:43:27.289727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length8.0526316
Min length5

Characters and Unicode

Total characters306
Distinct characters113
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

Unique34 ?
Unique (%)89.5%

Sample

1st row잠실3동주민센터
2nd row거여2동주민센터
3rd row송파어린이문화회관
4th row방이동생태학습관
5th row송파체육문화회관
ValueCountFrequency (%)
송파안전체험교육관 2
 
4.5%
석촌동주민센터 2
 
4.5%
삼전동공영주차장 1
 
2.3%
탄천빗물펌프장 1
 
2.3%
송파구 1
 
2.3%
보건지소 1
 
2.3%
가락1동주민센터 1
 
2.3%
자원순환공원 1
 
2.3%
잠실청소년센터 1
 
2.3%
남천경로당 1
 
2.3%
Other values (32) 32
72.7%
2024-01-14T22:43:27.689621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
송 14
 
4.6%
파 14
 
4.6%
터 11
 
3.6%
센 10
 
3.3%
동 9
 
2.9%
주 8
 
2.6%
관 8
 
2.6%
전 7
 
2.3%
민 7
 
2.3%
6
 
2.0%
Other values (103) 212
69.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 284
92.8%
Decimal Number 10
 
3.3%
Space Separator 6
 
2.0%
Close Punctuation 3
 
1.0%
Open Punctuation 3
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
송 14
 
4.9%
파 14
 
4.9%
터 11
 
3.9%
센 10
 
3.5%
동 9
 
3.2%
주 8
 
2.8%
관 8
 
2.8%
전 7
 
2.5%
민 7
 
2.5%
천 6
 
2.1%
Other values (95) 190
66.9%
Decimal Number
ValueCountFrequency (%)
1 4
40.0%
3 2
20.0%
2 2
20.0%
5 1
 
10.0%
4 1
 
10.0%
Space Separator
ValueCountFrequency (%)
6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 284
92.8%
Common 22
 
7.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
송 14
 
4.9%
파 14
 
4.9%
터 11
 
3.9%
센 10
 
3.5%
동 9
 
3.2%
주 8
 
2.8%
관 8
 
2.8%
전 7
 
2.5%
민 7
 
2.5%
천 6
 
2.1%
Other values (95) 190
66.9%
Common
ValueCountFrequency (%)
6
27.3%
1 4
18.2%
) 3
13.6%
( 3
13.6%
3 2
 
9.1%
2 2
 
9.1%
5 1
 
4.5%
4 1
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 284
92.8%
ASCII 22
 
7.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
송 14
 
4.9%
파 14
 
4.9%
터 11
 
3.9%
센 10
 
3.5%
동 9
 
3.2%
주 8
 
2.8%
관 8
 
2.8%
전 7
 
2.5%
민 7
 
2.5%
천 6
 
2.1%
Other values (95) 190
66.9%
ASCII
ValueCountFrequency (%)
6
27.3%
1 4
18.2%
) 3
13.6%
( 3
13.6%
3 2
 
9.1%
2 2
 
9.1%
5 1
 
4.5%
4 1
 
4.5%

설비용량(kW)
Real number (ℝ)

HIGH CORRELATION 

Distinct27
Distinct (%)71.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.048368
Minimum1.5
Maximum136
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2024-01-14T22:43:27.869445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.5
5-th percentile3
Q15.37
median12.06
Q330
95-th percentile98.9095
Maximum136
Range134.5
Interquartile range (IQR)24.63

Descriptive statistics

Standard deviation29.827043
Coefficient of variation (CV)1.2402938
Kurtosis5.7949596
Mean24.048368
Median Absolute Deviation (MAD)9.06
Skewness2.3582566
Sum913.838
Variance889.65251
MonotonicityNot monotonic
2024-01-14T22:43:28.050265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
3.0 6
 
15.8%
30.0 3
 
7.9%
6.0 3
 
7.9%
5.0 2
 
5.3%
20.0 2
 
5.3%
11.88 1
 
2.6%
10.0 1
 
2.6%
6.6 1
 
2.6%
63.0 1
 
2.6%
25.5 1
 
2.6%
Other values (17) 17
44.7%
ValueCountFrequency (%)
1.5 1
 
2.6%
3.0 6
15.8%
5.0 2
 
5.3%
5.16 1
 
2.6%
6.0 3
7.9%
6.6 1
 
2.6%
9.588 1
 
2.6%
10.0 1
 
2.6%
10.08 1
 
2.6%
10.79 1
 
2.6%
ValueCountFrequency (%)
136.0 1
 
2.6%
99.36 1
 
2.6%
98.83 1
 
2.6%
63.0 1
 
2.6%
40.5 1
 
2.6%
40.0 1
 
2.6%
35.75 1
 
2.6%
35.0 1
 
2.6%
30.0 3
7.9%
25.5 1
 
2.6%

연간발전량(KW)
Text

Distinct32
Distinct (%)84.2%
Missing0
Missing (%)0.0%
Memory size436.0 B
2024-01-14T22:43:28.276566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.2894737
Min length4

Characters and Unicode

Total characters239
Distinct characters16
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

Unique31 ?
Unique (%)81.6%

Sample

1st row11881
2nd row데이터 없음
3rd row629706
4th row데이터 없음
5th row404601
ValueCountFrequency (%)
데이터 7
 
15.6%
없음 7
 
15.6%
10311 1
 
2.2%
25501 1
 
2.2%
13438 1
 
2.2%
7370 1
 
2.2%
102403 1
 
2.2%
20104 1
 
2.2%
26569 1
 
2.2%
209733 1
 
2.2%
Other values (23) 23
51.1%
2024-01-14T22:43:28.711743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
38
15.9%
1 24
10.0%
0 24
10.0%
3 23
9.6%
7 18
7.5%
2 17
 
7.1%
4 16
 
6.7%
6 14
 
5.9%
5 12
 
5.0%
8 9
 
3.8%
Other values (6) 44
18.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 166
69.5%
Space Separator 38
 
15.9%
Other Letter 35
 
14.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 24
14.5%
0 24
14.5%
3 23
13.9%
7 18
10.8%
2 17
10.2%
4 16
9.6%
6 14
8.4%
5 12
7.2%
8 9
 
5.4%
9 9
 
5.4%
Other Letter
ValueCountFrequency (%)
데 7
20.0%
이 7
20.0%
터 7
20.0%
없 7
20.0%
음 7
20.0%
Space Separator
ValueCountFrequency (%)
38
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 204
85.4%
Hangul 35
 
14.6%

Most frequent character per script

Common
ValueCountFrequency (%)
38
18.6%
1 24
11.8%
0 24
11.8%
3 23
11.3%
7 18
8.8%
2 17
8.3%
4 16
7.8%
6 14
 
6.9%
5 12
 
5.9%
8 9
 
4.4%
Hangul
ValueCountFrequency (%)
데 7
20.0%
이 7
20.0%
터 7
20.0%
없 7
20.0%
음 7
20.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 204
85.4%
Hangul 35
 
14.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
38
18.6%
1 24
11.8%
0 24
11.8%
3 23
11.3%
7 18
8.8%
2 17
8.3%
4 16
7.8%
6 14
 
6.9%
5 12
 
5.9%
8 9
 
4.4%
Hangul
ValueCountFrequency (%)
데 7
20.0%
이 7
20.0%
터 7
20.0%
없 7
20.0%
음 7
20.0%

소재지도로명주소
Text

Distinct35
Distinct (%)92.1%
Missing0
Missing (%)0.0%
Memory size436.0 B
2024-01-14T22:43:29.019485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length22
Mean length18.894737
Min length15

Characters and Unicode

Total characters718
Distinct characters68
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

Unique32 ?
Unique (%)84.2%

Sample

1st row서울특별시 송파구 석촌호수로 155
2nd row서울특별시 송파구 거마로2길 19
3rd row서울특별시 송파구 중대로 235
4th row서울특별시 송파구 동남로 397
5th row서울특별시 송파구 양산로 15
ValueCountFrequency (%)
서울특별시 38
25.0%
송파구 38
25.0%
16 3
 
2.0%
동남로 2
 
1.3%
잠실본동 2
 
1.3%
5 2
 
1.3%
백제고분로42길 2
 
1.3%
15 2
 
1.3%
양산로 2
 
1.3%
백제고분로32길 2
 
1.3%
Other values (54) 59
38.8%
2024-01-14T22:43:29.451228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
114
15.9%
송 40
 
5.6%
파 40
 
5.6%
서 38
 
5.3%
특 38
 
5.3%
별 38
 
5.3%
시 38
 
5.3%
구 38
 
5.3%
울 38
 
5.3%
로 32
 
4.5%
Other values (58) 264
36.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 467
65.0%
Decimal Number 130
 
18.1%
Space Separator 114
 
15.9%
Dash Punctuation 7
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
송 40
 
8.6%
파 40
 
8.6%
서 38
 
8.1%
특 38
 
8.1%
별 38
 
8.1%
시 38
 
8.1%
구 38
 
8.1%
울 38
 
8.1%
로 32
 
6.9%
길 17
 
3.6%
Other values (46) 110
23.6%
Decimal Number
ValueCountFrequency (%)
3 23
17.7%
1 21
16.2%
2 19
14.6%
5 15
11.5%
4 14
10.8%
7 11
8.5%
6 10
7.7%
9 9
 
6.9%
0 5
 
3.8%
8 3
 
2.3%
Space Separator
ValueCountFrequency (%)
114
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 467
65.0%
Common 251
35.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
송 40
 
8.6%
파 40
 
8.6%
서 38
 
8.1%
특 38
 
8.1%
별 38
 
8.1%
시 38
 
8.1%
구 38
 
8.1%
울 38
 
8.1%
로 32
 
6.9%
길 17
 
3.6%
Other values (46) 110
23.6%
Common
ValueCountFrequency (%)
114
45.4%
3 23
 
9.2%
1 21
 
8.4%
2 19
 
7.6%
5 15
 
6.0%
4 14
 
5.6%
7 11
 
4.4%
6 10
 
4.0%
9 9
 
3.6%
- 7
 
2.8%
Other values (2) 8
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 467
65.0%
ASCII 251
35.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
114
45.4%
3 23
 
9.2%
1 21
 
8.4%
2 19
 
7.6%
5 15
 
6.0%
4 14
 
5.6%
7 11
 
4.4%
6 10
 
4.0%
9 9
 
3.6%
- 7
 
2.8%
Other values (2) 8
 
3.2%
Hangul
ValueCountFrequency (%)
송 40
 
8.6%
파 40
 
8.6%
서 38
 
8.1%
특 38
 
8.1%
별 38
 
8.1%
시 38
 
8.1%
구 38
 
8.1%
울 38
 
8.1%
로 32
 
6.9%
길 17
 
3.6%
Other values (46) 110
23.6%

소재지지번주소
Text

Distinct33
Distinct (%)86.8%
Missing0
Missing (%)0.0%
Memory size436.0 B
2024-01-14T22:43:29.698495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length19
Mean length18.157895
Min length16

Characters and Unicode

Total characters690
Distinct characters46
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

Unique29 ?
Unique (%)76.3%

Sample

1st row서울특별시 송파구 잠실동 44-4
2nd row서울특별시 송파구 거여2동 195-1
3rd row서울특별시 송파구 오금동 50
4th row서울특별시 송파구 방이동 443-15
5th row서울특별시 송파구 거여동 289
ValueCountFrequency (%)
서울특별시 38
25.0%
송파구 38
25.0%
장지동 6
 
3.9%
마천동 4
 
2.6%
석촌동 3
 
2.0%
방이동 3
 
2.0%
거여동 3
 
2.0%
잠실동 3
 
2.0%
송파동 3
 
2.0%
산1-5 3
 
2.0%
Other values (39) 48
31.6%
2024-01-14T22:43:30.121436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
114
16.5%
송 41
 
5.9%
파 41
 
5.9%
서 38
 
5.5%
특 38
 
5.5%
별 38
 
5.5%
시 38
 
5.5%
구 38
 
5.5%
울 38
 
5.5%
동 38
 
5.5%
Other values (36) 228
33.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 423
61.3%
Decimal Number 129
 
18.7%
Space Separator 114
 
16.5%
Dash Punctuation 24
 
3.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
송 41
9.7%
파 41
9.7%
서 38
9.0%
특 38
9.0%
별 38
9.0%
시 38
9.0%
구 38
9.0%
울 38
9.0%
동 38
9.0%
장 6
 
1.4%
Other values (24) 69
16.3%
Decimal Number
ValueCountFrequency (%)
1 26
20.2%
2 17
13.2%
5 14
10.9%
4 13
10.1%
8 12
9.3%
6 11
8.5%
9 10
 
7.8%
0 10
 
7.8%
7 8
 
6.2%
3 8
 
6.2%
Space Separator
ValueCountFrequency (%)
114
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 24
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 423
61.3%
Common 267
38.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
송 41
9.7%
파 41
9.7%
서 38
9.0%
특 38
9.0%
별 38
9.0%
시 38
9.0%
구 38
9.0%
울 38
9.0%
동 38
9.0%
장 6
 
1.4%
Other values (24) 69
16.3%
Common
ValueCountFrequency (%)
114
42.7%
1 26
 
9.7%
- 24
 
9.0%
2 17
 
6.4%
5 14
 
5.2%
4 13
 
4.9%
8 12
 
4.5%
6 11
 
4.1%
9 10
 
3.7%
0 10
 
3.7%
Other values (2) 16
 
6.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 423
61.3%
ASCII 267
38.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
114
42.7%
1 26
 
9.7%
- 24
 
9.0%
2 17
 
6.4%
5 14
 
5.2%
4 13
 
4.9%
8 12
 
4.5%
6 11
 
4.1%
9 10
 
3.7%
0 10
 
3.7%
Other values (2) 16
 
6.0%
Hangul
ValueCountFrequency (%)
송 41
9.7%
파 41
9.7%
서 38
9.0%
특 38
9.0%
별 38
9.0%
시 38
9.0%
구 38
9.0%
울 38
9.0%
동 38
9.0%
장 6
 
1.4%
Other values (24) 69
16.3%

최초허가일
Date

Distinct35
Distinct (%)92.1%
Missing0
Missing (%)0.0%
Memory size436.0 B
Minimum2009-06-15 00:00:00
Maximum2023-11-17 00:00:00
2024-01-14T22:43:30.267839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-14T22:43:30.425790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)

사업개시일
Date

Distinct35
Distinct (%)92.1%
Missing0
Missing (%)0.0%
Memory size436.0 B
Minimum2009-06-15 00:00:00
Maximum2023-11-17 00:00:00
2024-01-14T22:43:30.547471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-14T22:43:30.682305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)

발전유형
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size436.0 B
자가소비
35 
발전사업
 
3

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 35
92.1%
발전사업 3
 
7.9%

Length

2024-01-14T22:43:30.819397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T22:43:30.923198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
자가소비 35
92.1%
발전사업 3
 
7.9%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size436.0 B
2023-12-28
38 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-12-28
2nd row2023-12-28
3rd row2023-12-28
4th row2023-12-28
5th row2023-12-28

Common Values

ValueCountFrequency (%)
2023-12-28 38
100.0%

Length

2024-01-14T22:43:31.033126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T22:43:31.157566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-12-28 38
100.0%

Interactions

2024-01-14T22:43:26.114520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-14T22:43:25.827255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-14T22:43:26.220774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-14T22:43:25.984757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-14T22:43:31.267756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번발전소명설비용량(kW)연간발전량(KW)소재지도로명주소소재지지번주소최초허가일사업개시일발전유형
연번1.0000.9690.0000.7440.9400.8730.9830.9830.000
발전소명0.9691.0001.0000.9121.0001.0000.9910.9911.000
설비용량(kW)0.0001.0001.0000.9321.0001.0001.0001.0001.000
연간발전량(KW)0.7440.9120.9321.0000.8010.9080.8010.8011.000
소재지도로명주소0.9401.0001.0000.8011.0001.0000.9920.9921.000
소재지지번주소0.8731.0001.0000.9081.0001.0000.9730.9731.000
최초허가일0.9830.9911.0000.8010.9920.9731.0001.0001.000
사업개시일0.9830.9911.0000.8010.9920.9731.0001.0001.000
발전유형0.0001.0001.0001.0001.0001.0001.0001.0001.000
2024-01-14T22:43:31.443752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번설비용량(kW)발전유형
연번1.000-0.0490.000
설비용량(kW)-0.0491.0000.943
발전유형0.0000.9431.000

Missing values

2024-01-14T22:43:26.413148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-14T22:43:26.630680image/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

연번발전소명설비용량(kW)연간발전량(KW)소재지도로명주소소재지지번주소최초허가일사업개시일발전유형데이터기준일자
01잠실3동주민센터3.011881서울특별시 송파구 석촌호수로 155서울특별시 송파구 잠실동 44-42009-06-152009-06-15자가소비2023-12-28
12거여2동주민센터3.0데이터 없음서울특별시 송파구 거마로2길 19서울특별시 송파구 거여2동 195-12010-06-162010-06-16자가소비2023-12-28
23송파어린이문화회관40.5629706서울특별시 송파구 중대로 235서울특별시 송파구 오금동 502010-09-292010-09-29자가소비2023-12-28
34방이동생태학습관15.0데이터 없음서울특별시 송파구 동남로 397서울특별시 송파구 방이동 443-152011-01-012011-01-01자가소비2023-12-28
45송파체육문화회관30.0404601서울특별시 송파구 양산로 15서울특별시 송파구 거여동 2892011-01-252011-01-25자가소비2023-12-28
56잠실빗물펌프장24.0304708서울특별시 송파구 탄천동로 211서울특별시 송파구 잠실동 3062011-07-012011-07-01자가소비2023-12-28
67송파나눔발전소(3호기)99.3634149서울특별시 송파구 헌릉로 793서울특별시 송파구 장지동 8772012-03-012012-05-19발전사업2023-12-28
78송파여성문화회관10.08데이터 없음서울특별시 송파구 백제고분로42길 5서울특별시 송파구 송파동 113-22012-09-012012-09-01자가소비2023-12-28
89송파나눔발전소(4호기)98.8337850서울특별시 송파구 헌릉로 793서울특별시 송파구 장지동 8772013-03-142013-06-01발전사업2023-12-28
910송파안전체험교육관3.041732서울특별시 송파구 성내천로35길 53서울특별시 송파구 마천동 산1-52013-11-252013-11-25자가소비2023-12-28
연번발전소명설비용량(kW)연간발전량(KW)소재지도로명주소소재지지번주소최초허가일사업개시일발전유형데이터기준일자
2829구립송파노인요양센터40.0209733서울특별시 송파구 충민로 184서울특별시 송파구 장지동 850-22019-02-152019-02-15자가소비2023-12-28
2930탄천빗물펌프장25.5데이터 없음서울특별시 송파구 가락동 508서울특별시 송파구 가락동 5082019-04-022019-04-02자가소비2023-12-28
3031송파제1경로당6.028405서울특별시 송파구 송파대로42길 29서울특별시 송파구 송파동 1132019-08-232019-08-23자가소비2023-12-28
3132삼전제1경로당5.020104서울특별시 송파구 백제고분로32길 6-30서울특별시 송파구 삼전동 62-12020-07-282020-07-28자가소비2023-12-28
3233신천빗물펌프장(5호기)63.0102403서울특별시 송파구 오금로 1서울특별시 송파구 신천동 142020-02-272020-07-30발전사업2023-12-28
3334돌마리어린이집5.07370서울특별시 송파구 백제고분로40길 13-19서울특별시 송파구 석촌동 289-220212021자가소비2023-12-28
3435신천경로당6.613438서울특별시 송파구 석촌호수로12길 1-17서울특별시 송파구 잠실동 209-420212021자가소비2023-12-28
3536삼전동공영주차장20.025501서울특별시 송파구 백제고분로32길 25-17서울특별시 송파구 삼전동 175-82022-12-162022-12-16자가소비2023-12-28
3637송파여성축구장10.010311서울특별시 송파구 올림픽로 474서울특별시 송파구 방이동 88-92023-02-242023-02-24자가소비2023-12-28
3738성내천 태양광 스마트 쉼터6.0278서울특별시 송파구 방이동 446-6서울특별시 송파구 방이동 446-62023-11-172023-11-17자가소비2023-12-28