Overview

Dataset statistics

Number of variables9
Number of observations1400
Missing cells577
Missing cells (%)4.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory104.0 KiB
Average record size in memory76.1 B

Variable types

Numeric4
DateTime2
Text2
Categorical1

Dataset

Description부산광역시_신재생에너지인허가현황_20231031
Author부산광역시
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15088921

Alerts

경도 is highly overall correlated with 위도High correlation
위도 is highly overall correlated with 경도High correlation
원동력종류 is highly imbalanced (94.2%)Imbalance
사업개시일 has 577 (41.2%) missing valuesMissing
순번 has unique valuesUnique

Reproduction

Analysis started2023-12-10 16:36:15.616346
Analysis finished2023-12-10 16:36:17.752059
Duration2.14 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct1400
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean700.5
Minimum1
Maximum1400
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.4 KiB
2023-12-11T01:36:17.816509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile70.95
Q1350.75
median700.5
Q31050.25
95-th percentile1330.05
Maximum1400
Range1399
Interquartile range (IQR)699.5

Descriptive statistics

Standard deviation404.2895
Coefficient of variation (CV)0.57714418
Kurtosis-1.2
Mean700.5
Median Absolute Deviation (MAD)350
Skewness0
Sum980700
Variance163450
MonotonicityStrictly increasing
2023-12-11T01:36:17.971827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
932 1
 
0.1%
940 1
 
0.1%
939 1
 
0.1%
938 1
 
0.1%
937 1
 
0.1%
936 1
 
0.1%
935 1
 
0.1%
934 1
 
0.1%
933 1
 
0.1%
Other values (1390) 1390
99.3%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
1400 1
0.1%
1399 1
0.1%
1398 1
0.1%
1397 1
0.1%
1396 1
0.1%
1395 1
0.1%
1394 1
0.1%
1393 1
0.1%
1392 1
0.1%
1391 1
0.1%

허가일자
Date

Distinct639
Distinct (%)45.6%
Missing0
Missing (%)0.0%
Memory size11.1 KiB
Minimum2000-08-05 00:00:00
Maximum2023-10-30 00:00:00
2023-12-11T01:36:18.121502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:36:18.248103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

발전소명
Text

Distinct1383
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Memory size11.1 KiB
2023-12-11T01:36:18.507460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length35
Mean length16.731429
Min length3

Characters and Unicode

Total characters23424
Distinct characters491
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1367 ?
Unique (%)97.6%

Sample

1st row㈜베스트탑코리아(탑2 태양광발전소)
2nd row㈜베스트탑코리아(탑 태양광발전소)
3rd row(주)썬탑2(BRIGHT J 발전소)
4th row현대수산사료5호 태양광발전소
5th row현대수산사료4호 태양광발전소
ValueCountFrequency (%)
태양광발전소 1109
36.1%
주식회사 112
 
3.6%
부산솔라(주 24
 
0.8%
1호 22
 
0.7%
2호 20
 
0.7%
발전소 19
 
0.6%
태양광 15
 
0.5%
햇살그린협동조합(햇살그린발전소 13
 
0.4%
유한회사 11
 
0.4%
햇살그린협동조합(모햇태양광발전소 10
 
0.3%
Other values (1512) 1718
55.9%
2023-12-11T01:36:19.060203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1673
 
7.1%
광 1458
 
6.2%
태 1422
 
6.1%
전 1420
 
6.1%
양 1410
 
6.0%
발 1370
 
5.8%
소 1369
 
5.8%
( 944
 
4.0%
) 941
 
4.0%
주 630
 
2.7%
Other values (481) 10787
46.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 18319
78.2%
Space Separator 1673
 
7.1%
Open Punctuation 997
 
4.3%
Close Punctuation 993
 
4.2%
Decimal Number 796
 
3.4%
Uppercase Letter 310
 
1.3%
Dash Punctuation 150
 
0.6%
Lowercase Letter 131
 
0.6%
Other Symbol 50
 
0.2%
Other Punctuation 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 1458
 
8.0%
태 1422
 
7.8%
전 1420
 
7.8%
양 1410
 
7.7%
발 1370
 
7.5%
소 1369
 
7.5%
주 630
 
3.4%
호 372
 
2.0%
산 371
 
2.0%
에 276
 
1.5%
Other values (419) 8221
44.9%
Uppercase Letter
ValueCountFrequency (%)
S 61
19.7%
E 28
 
9.0%
P 26
 
8.4%
K 26
 
8.4%
G 24
 
7.7%
C 20
 
6.5%
T 15
 
4.8%
B 14
 
4.5%
N 13
 
4.2%
H 13
 
4.2%
Other values (12) 70
22.6%
Lowercase Letter
ValueCountFrequency (%)
e 24
18.3%
o 19
14.5%
p 16
12.2%
k 16
12.2%
c 14
10.7%
r 6
 
4.6%
n 5
 
3.8%
i 4
 
3.1%
s 4
 
3.1%
t 4
 
3.1%
Other values (9) 19
14.5%
Decimal Number
ValueCountFrequency (%)
1 242
30.4%
2 196
24.6%
3 77
 
9.7%
5 68
 
8.5%
4 64
 
8.0%
0 63
 
7.9%
6 29
 
3.6%
8 24
 
3.0%
7 20
 
2.5%
9 13
 
1.6%
Open Punctuation
ValueCountFrequency (%)
( 944
94.7%
[ 47
 
4.7%
{ 6
 
0.6%
Close Punctuation
ValueCountFrequency (%)
) 941
94.8%
] 46
 
4.6%
} 6
 
0.6%
Other Punctuation
ValueCountFrequency (%)
. 4
80.0%
& 1
 
20.0%
Space Separator
ValueCountFrequency (%)
1673
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 150
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 50
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 18369
78.4%
Common 4614
 
19.7%
Latin 441
 
1.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 1458
 
7.9%
태 1422
 
7.7%
전 1420
 
7.7%
양 1410
 
7.7%
발 1370
 
7.5%
소 1369
 
7.5%
주 630
 
3.4%
호 372
 
2.0%
산 371
 
2.0%
에 276
 
1.5%
Other values (420) 8271
45.0%
Latin
ValueCountFrequency (%)
S 61
 
13.8%
E 28
 
6.3%
P 26
 
5.9%
K 26
 
5.9%
e 24
 
5.4%
G 24
 
5.4%
C 20
 
4.5%
o 19
 
4.3%
p 16
 
3.6%
k 16
 
3.6%
Other values (31) 181
41.0%
Common
ValueCountFrequency (%)
1673
36.3%
( 944
20.5%
) 941
20.4%
1 242
 
5.2%
2 196
 
4.2%
- 150
 
3.3%
3 77
 
1.7%
5 68
 
1.5%
4 64
 
1.4%
0 63
 
1.4%
Other values (10) 196
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 18319
78.2%
ASCII 5055
 
21.6%
None 50
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1673
33.1%
( 944
18.7%
) 941
18.6%
1 242
 
4.8%
2 196
 
3.9%
- 150
 
3.0%
3 77
 
1.5%
5 68
 
1.3%
4 64
 
1.3%
0 63
 
1.2%
Other values (51) 637
 
12.6%
Hangul
ValueCountFrequency (%)
광 1458
 
8.0%
태 1422
 
7.8%
전 1420
 
7.8%
양 1410
 
7.7%
발 1370
 
7.5%
소 1369
 
7.5%
주 630
 
3.4%
호 372
 
2.0%
산 371
 
2.0%
에 276
 
1.5%
Other values (419) 8221
44.9%
None
ValueCountFrequency (%)
㈜ 50
100.0%

설비용량
Real number (ℝ)

Distinct858
Distinct (%)61.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean214.41438
Minimum2.88
Maximum3174
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.4 KiB
2023-12-11T01:36:19.555655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.88
5-th percentile16.373
Q147.47
median99
Q3191.37
95-th percentile865.42
Maximum3174
Range3171.12
Interquartile range (IQR)143.9

Descriptive statistics

Standard deviation396.13926
Coefficient of variation (CV)1.8475405
Kurtosis23.34165
Mean214.41438
Median Absolute Deviation (MAD)63.08
Skewness4.4424796
Sum300180.13
Variance156926.31
MonotonicityNot monotonic
2023-12-11T01:36:19.720121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
99.96 69
 
4.9%
99.0 31
 
2.2%
99.84 25
 
1.8%
99.9 20
 
1.4%
30.0 20
 
1.4%
20.0 17
 
1.2%
19.8 15
 
1.1%
99.19 14
 
1.0%
99.64 11
 
0.8%
99.36 11
 
0.8%
Other values (848) 1167
83.4%
ValueCountFrequency (%)
2.88 1
 
0.1%
3.0 3
0.2%
5.0 4
0.3%
5.28 1
 
0.1%
5.46 1
 
0.1%
5.53 1
 
0.1%
6.0 1
 
0.1%
6.24 1
 
0.1%
7.0 1
 
0.1%
8.16 1
 
0.1%
ValueCountFrequency (%)
3174.0 1
 
0.1%
2997.6 2
0.1%
2990.0 1
 
0.1%
2959.6 1
 
0.1%
2907.2 1
 
0.1%
2894.08 1
 
0.1%
2892.24 1
 
0.1%
2786.85 1
 
0.1%
2706.0 1
 
0.1%
2700.0 4
0.3%

도로명주소
Text

Distinct1172
Distinct (%)83.7%
Missing0
Missing (%)0.0%
Memory size11.1 KiB
2023-12-11T01:36:20.056981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length44
Mean length27.151429
Min length14

Characters and Unicode

Total characters38012
Distinct characters338
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1034 ?
Unique (%)73.9%

Sample

1st row부산광역시 강서구 낙동북로60번길 4-3 (강동동)
2nd row부산광역시 강서구 설만길 19 (대저2동)
3rd row부산광역시 강서구 미음국제5로나길 11 (미음동)
4th row부산광역시 강서구 녹산산업중로 432 (송정동)
5th row부산광역시 강서구 녹산산업중로 432 (송정동)
ValueCountFrequency (%)
부산광역시 1393
 
20.3%
강서구 773
 
11.2%
기장군 233
 
3.4%
장안읍 113
 
1.6%
사하구 108
 
1.6%
송정동 94
 
1.4%
사상구 80
 
1.2%
대저2동 72
 
1.0%
미음동 66
 
1.0%
정관읍 64
 
0.9%
Other values (1621) 3883
56.4%
2023-12-11T01:36:20.564527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5479
 
14.4%
산 2192
 
5.8%
부 1464
 
3.9%
시 1426
 
3.8%
광 1425
 
3.7%
동 1400
 
3.7%
역 1395
 
3.7%
구 1259
 
3.3%
1 1215
 
3.2%
로 1192
 
3.1%
Other values (328) 19565
51.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 23547
61.9%
Decimal Number 6023
 
15.8%
Space Separator 5479
 
14.4%
Close Punctuation 1148
 
3.0%
Open Punctuation 1148
 
3.0%
Dash Punctuation 329
 
0.9%
Other Punctuation 299
 
0.8%
Uppercase Letter 38
 
0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 2192
 
9.3%
부 1464
 
6.2%
시 1426
 
6.1%
광 1425
 
6.1%
동 1400
 
5.9%
역 1395
 
5.9%
구 1259
 
5.3%
로 1192
 
5.1%
강 852
 
3.6%
서 804
 
3.4%
Other values (296) 10138
43.1%
Uppercase Letter
ValueCountFrequency (%)
C 6
15.8%
S 5
13.2%
E 4
10.5%
B 3
7.9%
D 3
7.9%
J 2
 
5.3%
K 2
 
5.3%
F 2
 
5.3%
I 2
 
5.3%
T 2
 
5.3%
Other values (5) 7
18.4%
Decimal Number
ValueCountFrequency (%)
1 1215
20.2%
2 900
14.9%
3 732
12.2%
5 561
9.3%
4 547
9.1%
7 504
8.4%
6 477
 
7.9%
9 388
 
6.4%
8 361
 
6.0%
0 338
 
5.6%
Other Punctuation
ValueCountFrequency (%)
, 298
99.7%
. 1
 
0.3%
Space Separator
ValueCountFrequency (%)
5479
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1148
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1148
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 329
100.0%
Lowercase Letter
ValueCountFrequency (%)
p 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 23547
61.9%
Common 14426
38.0%
Latin 39
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 2192
 
9.3%
부 1464
 
6.2%
시 1426
 
6.1%
광 1425
 
6.1%
동 1400
 
5.9%
역 1395
 
5.9%
구 1259
 
5.3%
로 1192
 
5.1%
강 852
 
3.6%
서 804
 
3.4%
Other values (296) 10138
43.1%
Common
ValueCountFrequency (%)
5479
38.0%
1 1215
 
8.4%
) 1148
 
8.0%
( 1148
 
8.0%
2 900
 
6.2%
3 732
 
5.1%
5 561
 
3.9%
4 547
 
3.8%
7 504
 
3.5%
6 477
 
3.3%
Other values (6) 1715
 
11.9%
Latin
ValueCountFrequency (%)
C 6
15.4%
S 5
12.8%
E 4
10.3%
B 3
 
7.7%
D 3
 
7.7%
J 2
 
5.1%
K 2
 
5.1%
F 2
 
5.1%
I 2
 
5.1%
T 2
 
5.1%
Other values (6) 8
20.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 23547
61.9%
ASCII 14465
38.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5479
37.9%
1 1215
 
8.4%
) 1148
 
7.9%
( 1148
 
7.9%
2 900
 
6.2%
3 732
 
5.1%
5 561
 
3.9%
4 547
 
3.8%
7 504
 
3.5%
6 477
 
3.3%
Other values (22) 1754
 
12.1%
Hangul
ValueCountFrequency (%)
산 2192
 
9.3%
부 1464
 
6.2%
시 1426
 
6.1%
광 1425
 
6.1%
동 1400
 
5.9%
역 1395
 
5.9%
구 1259
 
5.3%
로 1192
 
5.1%
강 852
 
3.6%
서 804
 
3.4%
Other values (296) 10138
43.1%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct1105
Distinct (%)78.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.98223
Minimum128.80851
Maximum129.29222
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.4 KiB
2023-12-11T01:36:20.725671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.80851
5-th percentile128.83075
Q1128.86745
median128.95329
Q3129.07735
95-th percentile129.25763
Maximum129.29222
Range0.4837119
Interquartile range (IQR)0.20989708

Descriptive statistics

Standard deviation0.13587205
Coefficient of variation (CV)0.0010534168
Kurtosis-0.58359381
Mean128.98223
Median Absolute Deviation (MAD)0.08879345
Skewness0.81562898
Sum180575.13
Variance0.018461213
MonotonicityNot monotonic
2023-12-11T01:36:20.879990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.8583607 15
 
1.1%
129.2576334 10
 
0.7%
128.8420008 10
 
0.7%
128.8772142 9
 
0.6%
128.8732702 6
 
0.4%
128.9930876 6
 
0.4%
128.867148 5
 
0.4%
128.8762151 5
 
0.4%
128.8521258 5
 
0.4%
129.1115329 5
 
0.4%
Other values (1095) 1324
94.6%
ValueCountFrequency (%)
128.8085096 1
0.1%
128.8096042 1
0.1%
128.8125323 1
0.1%
128.8125651 1
0.1%
128.8136604 1
0.1%
128.8138646 1
0.1%
128.816707 1
0.1%
128.816737 1
0.1%
128.8170965 2
0.1%
128.8181293 1
0.1%
ValueCountFrequency (%)
129.2922215 1
 
0.1%
129.2781716 1
 
0.1%
129.2745211 3
0.2%
129.2735805 2
0.1%
129.2734971 3
0.2%
129.2734562 1
 
0.1%
129.2733374 2
0.1%
129.2728273 3
0.2%
129.2716262 1
 
0.1%
129.2713215 2
0.1%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct1105
Distinct (%)78.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.173716
Minimum35.043197
Maximum35.377742
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.4 KiB
2023-12-11T01:36:21.032016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.043197
5-th percentile35.082017
Q135.10825
median35.150613
Q335.214714
95-th percentile35.336291
Maximum35.377742
Range0.33454563
Interquartile range (IQR)0.10646431

Descriptive statistics

Standard deviation0.082526914
Coefficient of variation (CV)0.0023462666
Kurtosis-0.12436599
Mean35.173716
Median Absolute Deviation (MAD)0.04968411
Skewness0.94594276
Sum49243.202
Variance0.0068106916
MonotonicityNot monotonic
2023-12-11T01:36:21.468586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.15110357 15
 
1.1%
35.37731412 10
 
0.7%
35.0950873 10
 
0.7%
35.13868208 9
 
0.6%
35.13723229 6
 
0.4%
35.07680637 6
 
0.4%
35.09287255 5
 
0.4%
35.1273856 5
 
0.4%
35.09316853 5
 
0.4%
35.18900098 5
 
0.4%
Other values (1095) 1324
94.6%
ValueCountFrequency (%)
35.04319679 1
0.1%
35.04974564 1
0.1%
35.05163237 1
0.1%
35.0528278 1
0.1%
35.05295812 1
0.1%
35.0535963 1
0.1%
35.05581506 1
0.1%
35.05587554 1
0.1%
35.05714874 1
0.1%
35.05988733 1
0.1%
ValueCountFrequency (%)
35.37774242 2
 
0.1%
35.37731412 10
0.7%
35.37462302 1
 
0.1%
35.37404431 1
 
0.1%
35.37369827 1
 
0.1%
35.37356656 1
 
0.1%
35.37293368 1
 
0.1%
35.3726262 1
 
0.1%
35.3710779 1
 
0.1%
35.37062985 1
 
0.1%

원동력종류
Categorical

IMBALANCE 

Distinct8
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size11.1 KiB
태양광
1375 
연료전지
 
8
소수력
 
5
가스엔진발전기
 
5
화력
 
3
Other values (3)
 
4

Length

Max length7
Median length3
Mean length3.0171429
Min length2

Unique

Unique2 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
태양광 1375
98.2%
연료전지 8
 
0.6%
소수력 5
 
0.4%
가스엔진발전기 5
 
0.4%
화력 3
 
0.2%
풍력 2
 
0.1%
바이오가스 1
 
0.1%
기타 1
 
0.1%

Length

2023-12-11T01:36:21.706500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:36:21.881449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
태양광 1375
98.2%
연료전지 8
 
0.6%
소수력 5
 
0.4%
가스엔진발전기 5
 
0.4%
화력 3
 
0.2%
풍력 2
 
0.1%
바이오가스 1
 
0.1%
기타 1
 
0.1%

사업개시일
Date

MISSING 

Distinct550
Distinct (%)66.8%
Missing577
Missing (%)41.2%
Memory size11.1 KiB
Minimum2001-07-20 00:00:00
Maximum2023-10-18 00:00:00
2023-12-11T01:36:22.093678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:36:22.290130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Interactions

2023-12-11T01:36:17.160720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:36:16.202317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:36:16.510270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:36:16.820180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:36:17.253217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:36:16.279184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:36:16.594680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:36:16.901132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:36:17.358283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:36:16.351293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:36:16.665868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:36:16.984064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:36:17.460286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:36:16.425928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:36:16.742766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:36:17.074844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T01:36:22.465166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번설비용량경도위도원동력종류
순번1.0000.2220.4330.3200.178
설비용량0.2221.0000.2180.1980.452
경도0.4330.2181.0000.8620.101
위도0.3200.1980.8621.0000.185
원동력종류0.1780.4520.1010.1851.000
2023-12-11T01:36:22.669265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번설비용량경도위도원동력종류
순번1.000-0.1920.1540.0450.085
설비용량-0.1921.000-0.276-0.1540.235
경도0.154-0.2761.0000.6160.048
위도0.045-0.1540.6161.0000.089
원동력종류0.0850.2350.0480.0891.000

Missing values

2023-12-11T01:36:17.577898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:36:17.705501image/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

순번허가일자발전소명설비용량도로명주소경도위도원동력종류사업개시일
012023-10-30㈜베스트탑코리아(탑2 태양광발전소)42.84부산광역시 강서구 낙동북로60번길 4-3 (강동동)128.9357335.217585태양광<NA>
122023-10-30㈜베스트탑코리아(탑 태양광발전소)85.68부산광역시 강서구 설만길 19 (대저2동)128.92837435.175456태양광<NA>
232023-10-27(주)썬탑2(BRIGHT J 발전소)127.44부산광역시 강서구 미음국제5로나길 11 (미음동)128.86605635.153293태양광<NA>
342023-10-25현대수산사료5호 태양광발전소99.96부산광역시 강서구 녹산산업중로 432 (송정동)128.86714835.092873태양광<NA>
452023-10-25현대수산사료4호 태양광발전소99.96부산광역시 강서구 녹산산업중로 432 (송정동)128.86714835.092873태양광<NA>
562023-10-25현대수산사료3호 태양광발전소99.96부산광역시 강서구 녹산산업중로 432 (송정동)128.86714835.092873태양광<NA>
672023-10-25현대수산사료2호 태양광발전소99.96부산광역시 강서구 녹산산업중로 432 (송정동)128.86714835.092873태양광<NA>
782023-10-25현대수산사료1호 태양광발전소99.96부산광역시 강서구 녹산산업중로 432 (송정동)128.86714835.092873태양광<NA>
892023-10-17㈜이녹스틸코리아(에스에스 태양광발전소)250.92부산광역시 강서구 녹산산단77로22번길 17 (송정동)128.83129535.09389태양광<NA>
9102023-10-17케이피씨 태양광발전소99.6부산광역시 강서구 녹산산업중로 71 (송정동)128.82950735.097058태양광<NA>
순번허가일자발전소명설비용량도로명주소경도위도원동력종류사업개시일
139013912008-02-18(주)수인엔지니어링태양광발전94.5부산광역시 북구 만덕동 산 155번지129.02377435.201593태양광<NA>
139113922008-01-11케이비태양광발전소5.0부산광역시 강서구 과학산단1로60번길 31 (지사동,부산테크노파크)128.82573135.144534태양광<NA>
139213932007-11-29(주)이오콤 태양광발전소3.0부산광역시 동래구 아시아드대로231번길 75-6 (온천동)129.06356535.206108태양광2008-02-27
139313942007-09-27민주공원 시민햇빛발전소5.28부산광역시 중구 민주공원길 19 (영주동)129.0280335.109687태양광2008-01-21
139413952006-11-17한국수력원자력(주)(고리풍력발전소)750.0부산광역시 기장군 장안읍 길천길 96-1129.29222235.322039풍력2008-06-30
139513962006-10-19부산1호 미니태양광발전소5.0부산광역시 강서구 대부길 279 (강동동)128.87621535.127386태양광2007-06-05
139613972003-12-03(주)서희건설2000.0부산광역시 강서구 한적길 74 (생곡동)128.87621535.127386가스엔진발전기2017-03-08
139713982000-08-05(주)서희이엔씨2700.0부산광역시 강서구 생곡동 산 61번지 생곡매립장128.87916835.126535가스엔진발전기2001-07-20
139813992000-08-05(주)서희이엔씨2700.0부산광역시 강서구 생곡동 산 61번지 생곡매립장128.87916835.126535가스엔진발전기2001-07-20
139914002000-08-05파낙스에너지(주) 부산LFG발전소3174.0부산광역시 강서구 생곡산단로 76 (생곡동)128.87874435.133019가스엔진발전기2001-07-20