Overview

Dataset statistics

Number of variables11
Number of observations37
Missing cells110
Missing cells (%)27.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.4 KiB
Average record size in memory94.6 B

Variable types

Text3
Numeric3
DateTime4
Categorical1

Dataset

Description공공시설에서 운영하고 있는 태양광발전설비 현황으로 공공시설명, 도로명주소, 지번주소, 위도, 경도, 준공년월, 발전용량(KW), 최초허가일, 사업개시일, 발전유형(자체사용, 발전사업) 등을 제공합니다.
URLhttps://www.data.go.kr/data/15080878/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
발전용량(kW) is highly overall correlated with 발전유형High correlation
발전유형 is highly overall correlated with 발전용량(kW)High correlation
발전유형 is highly imbalanced (69.7%)Imbalance
위도 has 20 (54.1%) missing valuesMissing
경도 has 20 (54.1%) missing valuesMissing
최초허가일 has 35 (94.6%) missing valuesMissing
사업개시일 has 35 (94.6%) missing valuesMissing
공공시설명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 12:13:37.487825
Analysis finished2023-12-12 12:13:39.395527
Duration1.91 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

공공시설명
Text

UNIQUE 

Distinct37
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size428.0 B
2023-12-12T21:13:39.598693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length18
Mean length9.8108108
Min length5

Characters and Unicode

Total characters363
Distinct characters96
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

Unique37 ?
Unique (%)100.0%

Sample

1st row고척근린공원
2nd row화원종합사회복지관
3rd row고척2동 주민센터
4th row구로구 청사
5th row구일어린이집(구립)
ValueCountFrequency (%)
제로에너지건물 5
 
9.6%
고척근린공원 2
 
3.8%
리모델링 2
 
3.8%
궁동경로당 2
 
3.8%
나래어린이집 1
 
1.9%
천왕동청소년문화의집 1
 
1.9%
구로청소년문화의집 1
 
1.9%
구로3빗물펌프장 1
 
1.9%
리모델링(궁동데이케어센터 1
 
1.9%
가리봉시장 1
 
1.9%
Other values (35) 35
67.3%
2023-12-12T21:13:40.068179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
로 24
 
6.6%
구 23
 
6.3%
18
 
5.0%
동 12
 
3.3%
물 10
 
2.8%
장 9
 
2.5%
관 8
 
2.2%
린 8
 
2.2%
이 8
 
2.2%
지 8
 
2.2%
Other values (86) 235
64.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 333
91.7%
Space Separator 18
 
5.0%
Decimal Number 6
 
1.7%
Open Punctuation 3
 
0.8%
Close Punctuation 3
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 24
 
7.2%
구 23
 
6.9%
동 12
 
3.6%
물 10
 
3.0%
장 9
 
2.7%
관 8
 
2.4%
린 8
 
2.4%
이 8
 
2.4%
지 8
 
2.4%
어 7
 
2.1%
Other values (80) 216
64.9%
Decimal Number
ValueCountFrequency (%)
2 3
50.0%
3 2
33.3%
1 1
 
16.7%
Space Separator
ValueCountFrequency (%)
18
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 333
91.7%
Common 30
 
8.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 24
 
7.2%
구 23
 
6.9%
동 12
 
3.6%
물 10
 
3.0%
장 9
 
2.7%
관 8
 
2.4%
린 8
 
2.4%
이 8
 
2.4%
지 8
 
2.4%
어 7
 
2.1%
Other values (80) 216
64.9%
Common
ValueCountFrequency (%)
18
60.0%
( 3
 
10.0%
) 3
 
10.0%
2 3
 
10.0%
3 2
 
6.7%
1 1
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 333
91.7%
ASCII 30
 
8.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
로 24
 
7.2%
구 23
 
6.9%
동 12
 
3.6%
물 10
 
3.0%
장 9
 
2.7%
관 8
 
2.4%
린 8
 
2.4%
이 8
 
2.4%
지 8
 
2.4%
어 7
 
2.1%
Other values (80) 216
64.9%
ASCII
ValueCountFrequency (%)
18
60.0%
( 3
 
10.0%
) 3
 
10.0%
2 3
 
10.0%
3 2
 
6.7%
1 1
 
3.3%

도로명주소
Text

Distinct34
Distinct (%)91.9%
Missing0
Missing (%)0.0%
Memory size428.0 B
2023-12-12T21:13:40.342342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length20
Mean length17.351351
Min length9

Characters and Unicode

Total characters642
Distinct characters52
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

Unique31 ?
Unique (%)83.8%

Sample

1st row서울특별시 구로구 고척로45길 1
2nd row서울특별시 구로구 벚꽃로 484
3rd row서울특별시 구로구 중앙로15길 22
4th row서울특별시 구로구 가마산로 245
5th row서울특별시 구로구 구일로 62
ValueCountFrequency (%)
구로구 35
25.0%
서울특별시 21
 
15.0%
서울시 9
 
6.4%
고척로45길 4
 
2.9%
245 2
 
1.4%
벚꽃로 2
 
1.4%
오리로 2
 
1.4%
62 2
 
1.4%
가마산로 2
 
1.4%
158-4 2
 
1.4%
Other values (57) 59
42.1%
2023-12-12T21:13:40.755562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
103
16.0%
구 76
 
11.8%
로 72
 
11.2%
1 36
 
5.6%
서 32
 
5.0%
시 32
 
5.0%
울 31
 
4.8%
길 25
 
3.9%
특 22
 
3.4%
별 22
 
3.4%
Other values (42) 191
29.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 392
61.1%
Decimal Number 140
 
21.8%
Space Separator 103
 
16.0%
Dash Punctuation 7
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 76
19.4%
로 72
18.4%
서 32
8.2%
시 32
8.2%
울 31
7.9%
길 25
 
6.4%
특 22
 
5.6%
별 22
 
5.6%
척 7
 
1.8%
고 7
 
1.8%
Other values (30) 66
16.8%
Decimal Number
ValueCountFrequency (%)
1 36
25.7%
2 20
14.3%
5 20
14.3%
4 17
12.1%
8 14
 
10.0%
9 9
 
6.4%
3 7
 
5.0%
6 6
 
4.3%
0 6
 
4.3%
7 5
 
3.6%
Space Separator
ValueCountFrequency (%)
103
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 392
61.1%
Common 250
38.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 76
19.4%
로 72
18.4%
서 32
8.2%
시 32
8.2%
울 31
7.9%
길 25
 
6.4%
특 22
 
5.6%
별 22
 
5.6%
척 7
 
1.8%
고 7
 
1.8%
Other values (30) 66
16.8%
Common
ValueCountFrequency (%)
103
41.2%
1 36
 
14.4%
2 20
 
8.0%
5 20
 
8.0%
4 17
 
6.8%
8 14
 
5.6%
9 9
 
3.6%
- 7
 
2.8%
3 7
 
2.8%
6 6
 
2.4%
Other values (2) 11
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 392
61.1%
ASCII 250
38.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
103
41.2%
1 36
 
14.4%
2 20
 
8.0%
5 20
 
8.0%
4 17
 
6.8%
8 14
 
5.6%
9 9
 
3.6%
- 7
 
2.8%
3 7
 
2.8%
6 6
 
2.4%
Other values (2) 11
 
4.4%
Hangul
ValueCountFrequency (%)
구 76
19.4%
로 72
18.4%
서 32
8.2%
시 32
8.2%
울 31
7.9%
길 25
 
6.4%
특 22
 
5.6%
별 22
 
5.6%
척 7
 
1.8%
고 7
 
1.8%
Other values (30) 66
16.8%

지번주소
Text

Distinct33
Distinct (%)89.2%
Missing0
Missing (%)0.0%
Memory size428.0 B
2023-12-12T21:13:40.975838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length20
Mean length17.837838
Min length9

Characters and Unicode

Total characters660
Distinct characters38
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

Unique31 ?
Unique (%)83.8%

Sample

1st row서울특별시 구로구 고척동 산 9-14
2nd row서울특별시 구로구 구로동 476-134
3rd row서울특별시 구로구 고척동 339-2
4th row서울특별시 구로구 구로동 435
5th row서울특별시 구로구 구로동 685-219
ValueCountFrequency (%)
구로구 35
24.3%
서울특별시 30
20.8%
구로동 14
 
9.7%
고척동 6
 
4.2%
궁동 5
 
3.5%
산 4
 
2.8%
9-14 4
 
2.8%
가리봉동 3
 
2.1%
개봉동 2
 
1.4%
서울특별시시 2
 
1.4%
Other values (36) 39
27.1%
2023-12-12T21:13:41.350529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
108
16.4%
구 85
12.9%
로 50
 
7.6%
동 37
 
5.6%
시 34
 
5.2%
서 32
 
4.8%
특 32
 
4.8%
별 32
 
4.8%
울 32
 
4.8%
- 30
 
4.5%
Other values (28) 188
28.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 381
57.7%
Decimal Number 141
 
21.4%
Space Separator 108
 
16.4%
Dash Punctuation 30
 
4.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 85
22.3%
로 50
13.1%
동 37
9.7%
시 34
 
8.9%
서 32
 
8.4%
특 32
 
8.4%
별 32
 
8.4%
울 32
 
8.4%
척 6
 
1.6%
고 6
 
1.6%
Other values (16) 35
9.2%
Decimal Number
ValueCountFrequency (%)
1 29
20.6%
4 25
17.7%
2 18
12.8%
3 12
8.5%
7 11
 
7.8%
5 11
 
7.8%
6 11
 
7.8%
9 9
 
6.4%
0 9
 
6.4%
8 6
 
4.3%
Space Separator
ValueCountFrequency (%)
108
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 30
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 381
57.7%
Common 279
42.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 85
22.3%
로 50
13.1%
동 37
9.7%
시 34
 
8.9%
서 32
 
8.4%
특 32
 
8.4%
별 32
 
8.4%
울 32
 
8.4%
척 6
 
1.6%
고 6
 
1.6%
Other values (16) 35
9.2%
Common
ValueCountFrequency (%)
108
38.7%
- 30
 
10.8%
1 29
 
10.4%
4 25
 
9.0%
2 18
 
6.5%
3 12
 
4.3%
7 11
 
3.9%
5 11
 
3.9%
6 11
 
3.9%
9 9
 
3.2%
Other values (2) 15
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 381
57.7%
ASCII 279
42.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
108
38.7%
- 30
 
10.8%
1 29
 
10.4%
4 25
 
9.0%
2 18
 
6.5%
3 12
 
4.3%
7 11
 
3.9%
5 11
 
3.9%
6 11
 
3.9%
9 9
 
3.2%
Other values (2) 15
 
5.4%
Hangul
ValueCountFrequency (%)
구 85
22.3%
로 50
13.1%
동 37
9.7%
시 34
 
8.9%
서 32
 
8.4%
특 32
 
8.4%
별 32
 
8.4%
울 32
 
8.4%
척 6
 
1.6%
고 6
 
1.6%
Other values (16) 35
9.2%

위도
Real number (ℝ)

MISSING 

Distinct15
Distinct (%)88.2%
Missing20
Missing (%)54.1%
Infinite0
Infinite (%)0.0%
Mean37.501623
Minimum37.491777
Maximum37.513215
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size465.0 B
2023-12-12T21:13:41.495040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.491777
5-th percentile37.494764
Q137.497332
median37.501094
Q337.505347
95-th percentile37.508934
Maximum37.513215
Range0.02143814
Interquartile range (IQR)0.00801575

Descriptive statistics

Standard deviation0.0054313537
Coefficient of variation (CV)0.00014482983
Kurtosis-0.088240206
Mean37.501623
Median Absolute Deviation (MAD)0.00399164
Skewness0.23375308
Sum637.52759
Variance2.9499603 × 10-5
MonotonicityNot monotonic
2023-12-12T21:13:41.645535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
37.50408079 2
 
5.4%
37.49551123 2
 
5.4%
37.49733165 1
 
2.7%
37.50669208 1
 
2.7%
37.49177716 1
 
2.7%
37.49710269 1
 
2.7%
37.49913459 1
 
2.7%
37.50658124 1
 
2.7%
37.50010311 1
 
2.7%
37.5053474 1
 
2.7%
Other values (5) 5
 
13.5%
(Missing) 20
54.1%
ValueCountFrequency (%)
37.49177716 1
2.7%
37.49551123 2
5.4%
37.49710269 1
2.7%
37.49733165 1
2.7%
37.49913459 1
2.7%
37.49994741 1
2.7%
37.50010311 1
2.7%
37.50109433 1
2.7%
37.50221136 1
2.7%
37.50408079 2
5.4%
ValueCountFrequency (%)
37.5132153 1
2.7%
37.50786379 1
2.7%
37.50669208 1
2.7%
37.50658124 1
2.7%
37.5053474 1
2.7%
37.50408079 2
5.4%
37.50221136 1
2.7%
37.50109433 1
2.7%
37.50010311 1
2.7%
37.49994741 1
2.7%

경도
Real number (ℝ)

MISSING 

Distinct15
Distinct (%)88.2%
Missing20
Missing (%)54.1%
Infinite0
Infinite (%)0.0%
Mean126.86994
Minimum126.82926
Maximum126.89229
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size465.0 B
2023-12-12T21:13:41.792328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.82926
5-th percentile126.8295
Q1126.85305
median126.88007
Q3126.88829
95-th percentile126.89223
Maximum126.89229
Range0.0630263
Interquartile range (IQR)0.0352369

Descriptive statistics

Standard deviation0.021579439
Coefficient of variation (CV)0.00017009103
Kurtosis-0.78889906
Mean126.86994
Median Absolute Deviation (MAD)0.0121511
Skewness-0.6979729
Sum2156.7889
Variance0.00046567219
MonotonicityNot monotonic
2023-12-12T21:13:41.933607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
126.8527795 2
 
5.4%
126.8882891 2
 
5.4%
126.8801354 1
 
2.7%
126.8586053 1
 
2.7%
126.8743642 1
 
2.7%
126.8895491 1
 
2.7%
126.8295642 1
 
2.7%
126.8532759 1
 
2.7%
126.8893378 1
 
2.7%
126.8530522 1
 
2.7%
Other values (5) 5
 
13.5%
(Missing) 20
54.1%
ValueCountFrequency (%)
126.8292615 1
2.7%
126.8295642 1
2.7%
126.8527795 2
5.4%
126.8530522 1
2.7%
126.8532759 1
2.7%
126.8586053 1
2.7%
126.8743642 1
2.7%
126.8800668 1
2.7%
126.8801354 1
2.7%
126.8850895 1
2.7%
ValueCountFrequency (%)
126.8922878 1
2.7%
126.8922179 1
2.7%
126.8895491 1
2.7%
126.8893378 1
2.7%
126.8882891 2
5.4%
126.8850895 1
2.7%
126.8801354 1
2.7%
126.8800668 1
2.7%
126.8743642 1
2.7%
126.8586053 1
2.7%

준공년월
Date

Distinct25
Distinct (%)67.6%
Missing0
Missing (%)0.0%
Memory size428.0 B
Minimum2008-01-01 00:00:00
Maximum2023-12-21 00:00:00
2023-12-12T21:13:42.081375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:13:42.218498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)

발전용량(kW)
Real number (ℝ)

HIGH CORRELATION 

Distinct19
Distinct (%)51.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.216216
Minimum3
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size465.0 B
2023-12-12T21:13:42.330906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile3
Q18
median15
Q326
95-th percentile68
Maximum100
Range97
Interquartile range (IQR)18

Descriptive statistics

Standard deviation23.079735
Coefficient of variation (CV)1.0388689
Kurtosis5.6546035
Mean22.216216
Median Absolute Deviation (MAD)7
Skewness2.3248636
Sum822
Variance532.67417
MonotonicityNot monotonic
2023-12-12T21:13:42.503566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
20 5
13.5%
15 4
10.8%
10 4
10.8%
30 3
 
8.1%
3 3
 
8.1%
100 2
 
5.4%
6 2
 
5.4%
7 2
 
5.4%
8 2
 
5.4%
60 1
 
2.7%
Other values (9) 9
24.3%
ValueCountFrequency (%)
3 3
8.1%
5 1
 
2.7%
6 2
5.4%
7 2
5.4%
8 2
5.4%
10 4
10.8%
11 1
 
2.7%
12 1
 
2.7%
13 1
 
2.7%
15 4
10.8%
ValueCountFrequency (%)
100 2
 
5.4%
60 1
 
2.7%
50 1
 
2.7%
45 1
 
2.7%
37 1
 
2.7%
30 3
8.1%
26 1
 
2.7%
22 1
 
2.7%
20 5
13.5%
15 4
10.8%

최초허가일
Date

MISSING 

Distinct2
Distinct (%)100.0%
Missing35
Missing (%)94.6%
Memory size428.0 B
Minimum2015-09-21 00:00:00
Maximum2016-03-11 00:00:00
2023-12-12T21:13:42.651412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:13:42.759957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)

사업개시일
Date

MISSING 

Distinct2
Distinct (%)100.0%
Missing35
Missing (%)94.6%
Memory size428.0 B
Minimum2015-12-30 00:00:00
Maximum2016-07-25 00:00:00
2023-12-12T21:13:42.882054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:13:42.979665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)

발전유형
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size428.0 B
자체사용
35 
발전사업
 
2

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
자체사용 35
94.6%
발전사업 2
 
5.4%

Length

2023-12-12T21:13:43.087646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:13:43.174270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
자체사용 35
94.6%
발전사업 2
 
5.4%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size428.0 B
Minimum2023-04-27 00:00:00
Maximum2023-04-27 00:00:00
2023-12-12T21:13:43.240155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:13:43.318357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T21:13:38.508009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:13:37.905581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:13:38.181873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:13:38.619411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:13:38.000136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:13:38.286596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:13:38.793842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:13:38.091888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:13:38.396196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T21:13:43.387416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공공시설명도로명주소지번주소위도경도준공년월발전용량(kW)최초허가일사업개시일발전유형
공공시설명1.0001.0001.0001.0001.0001.0001.0000.0000.0001.000
도로명주소1.0001.0000.9931.0001.0000.9490.4510.0000.0001.000
지번주소1.0000.9931.0000.9451.0000.0000.0000.0000.0000.000
위도1.0001.0000.9451.0000.7230.7420.589NaNNaN0.000
경도1.0001.0001.0000.7231.0000.4620.404NaNNaN0.000
준공년월1.0000.9490.0000.7420.4621.0000.9660.0000.0001.000
발전용량(kW)1.0000.4510.0000.5890.4040.9661.0000.0000.0000.763
최초허가일0.0000.0000.000NaNNaN0.0000.0001.0000.000NaN
사업개시일0.0000.0000.000NaNNaN0.0000.0000.0001.000NaN
발전유형1.0001.0000.0000.0000.0001.0000.763NaNNaN1.000
2023-12-12T21:13:43.502182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도발전용량(kW)발전유형
위도1.000-0.2190.1840.000
경도-0.2191.000-0.3000.000
발전용량(kW)0.184-0.3001.0000.765
발전유형0.0000.0000.7651.000

Missing values

2023-12-12T21:13:38.971929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T21:13:39.160310image/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.
2023-12-12T21:13:39.314718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

공공시설명도로명주소지번주소위도경도준공년월발전용량(kW)최초허가일사업개시일발전유형데이터기준일자
0고척근린공원서울특별시 구로구 고척로45길 1서울특별시 구로구 고척동 산 9-1437.504081126.8527792008-01-01100<NA><NA>자체사용2023-04-27
1화원종합사회복지관서울특별시 구로구 벚꽃로 484서울특별시 구로구 구로동 476-13437.497332126.8801352009-01-0150<NA><NA>자체사용2023-04-27
2고척2동 주민센터서울특별시 구로구 중앙로15길 22서울특별시 구로구 고척동 339-237.506692126.8586052009-05-0120<NA><NA>자체사용2023-04-27
3구로구 청사서울특별시 구로구 가마산로 245서울특별시 구로구 구로동 43537.495511126.8882892009-07-0130<NA><NA>자체사용2023-04-27
4구일어린이집(구립)서울특별시 구로구 구일로 62서울특별시 구로구 구로동 685-21937.491777126.8743642009-07-0120<NA><NA>자체사용2023-04-27
5구로구민회관서울특별시 구로구 가마산로25길 21서울특별시 구로구 구로동 10237.497103126.8895492013-09-0120<NA><NA>자체사용2023-04-27
6궁동종합사회복지관서울특별시 구로구 오리로22길 5서울특별시 구로구 궁동 252-4637.499135126.8295642013-10-015<NA><NA>자체사용2023-04-27
7구로구민체육센타서울특별시 구로구 고척로45길 39서울특별시 구로구 고척동 산 9-1437.506581126.8532762014-09-0120<NA><NA>자체사용2023-04-27
8구로구보건소서울특별시 구로구 구로중앙로28길 66서울특별시 구로구 구로동 109-437.500103126.8893382015-10-0110<NA><NA>자체사용2023-04-27
9고척도서관서울특별시 구로구 고척로45길 31서울특별시 구로구 고척동 산 9-1437.505347126.8530522015-12-011002015-09-212015-12-30발전사업2023-04-27
공공시설명도로명주소지번주소위도경도준공년월발전용량(kW)최초허가일사업개시일발전유형데이터기준일자
27구로구가족통합지원센타구로구 우마2길 29-5서울특별시 구로구 가리봉동 591-1<NA><NA>2023-12-1811<NA><NA>자체사용2023-04-27
28나래어린이집 제로에너지건물서울시 구로구 고척로1길 14-41서울특별시 구로구 오류동 6-126<NA><NA>2023-10-2110<NA><NA>자체사용2023-04-27
29고척어린이집서울시 구로구 고척동 14-1고척동 12-14<NA><NA>2023-10-2110<NA><NA>자체사용2023-04-27
30모아래 마을활력소서울시 남부순환로105길 198서울특별시 구로구 가리봉동 30-24<NA><NA>2023-12-218<NA><NA>자체사용2023-04-27
31구로2동 공영주차장서울시 구로동로28길 81서울특별시 구로구 구로동 317-187<NA><NA>2023-12-217<NA><NA>자체사용2023-04-27
32온수동주민공동이용시설구로구 부일로1길 62온수동 120-21<NA><NA>2023-12-146<NA><NA>자체사용2023-04-27
33백곡경로당 제로에너지건물 리모델링서울시 구로구 고척로21길 85서울특별시 구로구 개봉동 444-6<NA><NA>2023-10-216<NA><NA>자체사용2023-04-27
34궁동경로당 제로에너지건물 리모델링(경로당)서울시 구로구 부일로17길 158-4서울특별시 구로구 궁동 157<NA><NA>2023-10-213<NA><NA>자체사용2023-04-27
35화원경로당 제로에너지건물 리모델링서울시 구로구 벚꽃로 490서울특별시 구로구 구로동 478-1<NA><NA>2023-10-213<NA><NA>자체사용2023-04-27
36중앙경로당서울시 구로구 개봉로15길 58-2서울특별시 구로구 개봉동 340-8<NA><NA>2023-10-213<NA><NA>자체사용2023-04-27