Overview

Dataset statistics

Number of variables9
Number of observations303
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory22.6 KiB
Average record size in memory76.4 B

Variable types

Numeric4
Text2
DateTime2
Categorical1

Dataset

Description부산광역시_신재생에너지인허가현황_20210915
Author부산광역시
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15088921

Alerts

위도 is highly overall correlated with 경도High correlation
경도 is highly overall correlated with 위도High correlation
원동력종류 is highly imbalanced (96.0%)Imbalance
순번 has unique valuesUnique

Reproduction

Analysis started2023-12-10 16:36:05.373818
Analysis finished2023-12-10 16:36:08.583689
Duration3.21 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct303
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean152
Minimum1
Maximum303
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2023-12-11T01:36:08.685523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile16.1
Q176.5
median152
Q3227.5
95-th percentile287.9
Maximum303
Range302
Interquartile range (IQR)151

Descriptive statistics

Standard deviation87.612784
Coefficient of variation (CV)0.5763999
Kurtosis-1.2
Mean152
Median Absolute Deviation (MAD)76
Skewness0
Sum46056
Variance7676
MonotonicityStrictly increasing
2023-12-11T01:36:08.899745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
201 1
 
0.3%
208 1
 
0.3%
207 1
 
0.3%
206 1
 
0.3%
205 1
 
0.3%
204 1
 
0.3%
203 1
 
0.3%
202 1
 
0.3%
200 1
 
0.3%
Other values (293) 293
96.7%
ValueCountFrequency (%)
1 1
0.3%
2 1
0.3%
3 1
0.3%
4 1
0.3%
5 1
0.3%
6 1
0.3%
7 1
0.3%
8 1
0.3%
9 1
0.3%
10 1
0.3%
ValueCountFrequency (%)
303 1
0.3%
302 1
0.3%
301 1
0.3%
300 1
0.3%
299 1
0.3%
298 1
0.3%
297 1
0.3%
296 1
0.3%
295 1
0.3%
294 1
0.3%
Distinct302
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
2023-12-11T01:36:09.291763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length33
Mean length14.50165
Min length4

Characters and Unicode

Total characters4394
Distinct characters321
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique301 ?
Unique (%)99.3%

Sample

1st row경동 태양광발전소
2nd row시울프마린 태양광발전소
3rd row주식회사 엔에스(엔에스2호 태양광발전소)
4th row볼포스(주)(볼포스1호 태양광발전소)
5th row영광2 태양광발전소
ValueCountFrequency (%)
태양광발전소 238
38.2%
주식회사 12
 
1.9%
부산 4
 
0.6%
제2호 3
 
0.5%
영진 3
 
0.5%
금호 2
 
0.3%
제1태양광발전소 2
 
0.3%
연계형 2
 
0.3%
태양광발전소(ess 2
 
0.3%
엘에스일렉트릭 2
 
0.3%
Other values (341) 353
56.7%
2023-12-11T01:36:09.744885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
326
 
7.4%
320
 
7.3%
306
 
7.0%
306
 
7.0%
299
 
6.8%
290
 
6.6%
285
 
6.5%
( 159
 
3.6%
) 158
 
3.6%
107
 
2.4%
Other values (311) 1838
41.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3498
79.6%
Space Separator 320
 
7.3%
Open Punctuation 165
 
3.8%
Close Punctuation 164
 
3.7%
Uppercase Letter 121
 
2.8%
Decimal Number 92
 
2.1%
Dash Punctuation 21
 
0.5%
Lowercase Letter 13
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
326
 
9.3%
306
 
8.7%
306
 
8.7%
299
 
8.5%
290
 
8.3%
285
 
8.1%
107
 
3.1%
95
 
2.7%
56
 
1.6%
41
 
1.2%
Other values (270) 1387
39.7%
Uppercase Letter
ValueCountFrequency (%)
K 17
14.0%
E 17
14.0%
C 16
13.2%
P 12
9.9%
S 10
8.3%
O 10
8.3%
F 7
5.8%
T 7
5.8%
G 4
 
3.3%
D 4
 
3.3%
Other values (8) 17
14.0%
Decimal Number
ValueCountFrequency (%)
1 34
37.0%
2 20
21.7%
4 13
 
14.1%
0 13
 
14.1%
3 6
 
6.5%
6 3
 
3.3%
5 2
 
2.2%
7 1
 
1.1%
Lowercase Letter
ValueCountFrequency (%)
l 2
15.4%
o 2
15.4%
s 2
15.4%
d 2
15.4%
i 2
15.4%
r 2
15.4%
e 1
7.7%
Open Punctuation
ValueCountFrequency (%)
( 159
96.4%
[ 3
 
1.8%
{ 3
 
1.8%
Close Punctuation
ValueCountFrequency (%)
) 158
96.3%
] 3
 
1.8%
} 3
 
1.8%
Space Separator
ValueCountFrequency (%)
320
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 21
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3498
79.6%
Common 762
 
17.3%
Latin 134
 
3.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
326
 
9.3%
306
 
8.7%
306
 
8.7%
299
 
8.5%
290
 
8.3%
285
 
8.1%
107
 
3.1%
95
 
2.7%
56
 
1.6%
41
 
1.2%
Other values (270) 1387
39.7%
Latin
ValueCountFrequency (%)
K 17
12.7%
E 17
12.7%
C 16
11.9%
P 12
 
9.0%
S 10
 
7.5%
O 10
 
7.5%
F 7
 
5.2%
T 7
 
5.2%
G 4
 
3.0%
D 4
 
3.0%
Other values (15) 30
22.4%
Common
ValueCountFrequency (%)
320
42.0%
( 159
20.9%
) 158
20.7%
1 34
 
4.5%
- 21
 
2.8%
2 20
 
2.6%
4 13
 
1.7%
0 13
 
1.7%
3 6
 
0.8%
[ 3
 
0.4%
Other values (6) 15
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3498
79.6%
ASCII 896
 
20.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
326
 
9.3%
306
 
8.7%
306
 
8.7%
299
 
8.5%
290
 
8.3%
285
 
8.1%
107
 
3.1%
95
 
2.7%
56
 
1.6%
41
 
1.2%
Other values (270) 1387
39.7%
ASCII
ValueCountFrequency (%)
320
35.7%
( 159
17.7%
) 158
17.6%
1 34
 
3.8%
- 21
 
2.3%
2 20
 
2.2%
K 17
 
1.9%
E 17
 
1.9%
C 16
 
1.8%
4 13
 
1.5%
Other values (31) 121
 
13.5%
Distinct161
Distinct (%)53.1%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
Minimum2017-01-05 00:00:00
Maximum2021-05-20 00:00:00
2023-12-11T01:36:09.877308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:36:10.004926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

설비용량
Real number (ℝ)

Distinct252
Distinct (%)83.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean210.23459
Minimum5.46
Maximum2907.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2023-12-11T01:36:10.145110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.46
5-th percentile15.24
Q129.63
median80.29
Q3223.93
95-th percentile978.138
Maximum2907.2
Range2901.74
Interquartile range (IQR)194.3

Descriptive statistics

Standard deviation364.77284
Coefficient of variation (CV)1.7350753
Kurtosis22.378981
Mean210.23459
Median Absolute Deviation (MAD)55.27
Skewness4.0942658
Sum63701.08
Variance133059.23
MonotonicityNot monotonic
2023-12-11T01:36:10.271702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19.8 10
 
3.3%
29.97 6
 
2.0%
51.0 5
 
1.7%
29.25 4
 
1.3%
29.2 4
 
1.3%
30.6 3
 
1.0%
19.98 3
 
1.0%
29.82 3
 
1.0%
20.0 3
 
1.0%
99.9 3
 
1.0%
Other values (242) 259
85.5%
ValueCountFrequency (%)
5.46 1
0.3%
5.53 1
0.3%
9.0 1
0.3%
9.18 1
0.3%
9.56 1
0.3%
9.72 1
0.3%
11.1 1
0.3%
11.68 1
0.3%
12.04 1
0.3%
12.14 1
0.3%
ValueCountFrequency (%)
2907.2 1
0.3%
2892.24 1
0.3%
2092.02 1
0.3%
1807.92 1
0.3%
1400.0 1
0.3%
1305.72 1
0.3%
1161.69 1
0.3%
1106.8 1
0.3%
1048.33 1
0.3%
1009.6 1
0.3%
Distinct289
Distinct (%)95.4%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
2023-12-11T01:36:10.587742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length38
Mean length27.115512
Min length14

Characters and Unicode

Total characters8216
Distinct characters237
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique276 ?
Unique (%)91.1%

Sample

1st row부산광역시 연제구 거제대로178번길 60 (거제동)
2nd row부산광역시 사상구 사상로319번길 64 (덕포동)
3rd row부산광역시 강서구 미음산단로37번길 9 (구랑동)
4th row부산광역시 강서구 과학산단2로43번길 18 (지사동)
5th row부산광역시 강서구 낙동남로605번길 58 (녹산동)
ValueCountFrequency (%)
부산광역시 298
 
19.5%
강서구 170
 
11.1%
기장군 32
 
2.1%
사하구 30
 
2.0%
대저2동 27
 
1.8%
송정동 26
 
1.7%
미음동 22
 
1.4%
사상구 20
 
1.3%
장안읍 16
 
1.0%
대저1동 16
 
1.0%
Other values (548) 870
57.0%
2023-12-11T01:36:11.497800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1224
 
14.9%
451
 
5.5%
328
 
4.0%
318
 
3.9%
308
 
3.7%
304
 
3.7%
1 303
 
3.7%
299
 
3.6%
287
 
3.5%
) 240
 
2.9%
Other values (227) 4154
50.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4925
59.9%
Decimal Number 1407
 
17.1%
Space Separator 1224
 
14.9%
Close Punctuation 240
 
2.9%
Open Punctuation 240
 
2.9%
Dash Punctuation 105
 
1.3%
Other Punctuation 63
 
0.8%
Uppercase Letter 12
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
451
 
9.2%
328
 
6.7%
318
 
6.5%
308
 
6.3%
304
 
6.2%
299
 
6.1%
287
 
5.8%
222
 
4.5%
189
 
3.8%
181
 
3.7%
Other values (204) 2038
41.4%
Decimal Number
ValueCountFrequency (%)
1 303
21.5%
2 200
14.2%
3 169
12.0%
5 137
9.7%
4 126
9.0%
7 104
 
7.4%
8 97
 
6.9%
6 95
 
6.8%
9 94
 
6.7%
0 82
 
5.8%
Uppercase Letter
ValueCountFrequency (%)
K 2
16.7%
C 2
16.7%
D 2
16.7%
I 2
16.7%
B 2
16.7%
T 1
8.3%
J 1
8.3%
Other Punctuation
ValueCountFrequency (%)
, 62
98.4%
. 1
 
1.6%
Space Separator
ValueCountFrequency (%)
1224
100.0%
Close Punctuation
ValueCountFrequency (%)
) 240
100.0%
Open Punctuation
ValueCountFrequency (%)
( 240
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 105
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4925
59.9%
Common 3279
39.9%
Latin 12
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
451
 
9.2%
328
 
6.7%
318
 
6.5%
308
 
6.3%
304
 
6.2%
299
 
6.1%
287
 
5.8%
222
 
4.5%
189
 
3.8%
181
 
3.7%
Other values (204) 2038
41.4%
Common
ValueCountFrequency (%)
1224
37.3%
1 303
 
9.2%
) 240
 
7.3%
( 240
 
7.3%
2 200
 
6.1%
3 169
 
5.2%
5 137
 
4.2%
4 126
 
3.8%
- 105
 
3.2%
7 104
 
3.2%
Other values (6) 431
 
13.1%
Latin
ValueCountFrequency (%)
K 2
16.7%
C 2
16.7%
D 2
16.7%
I 2
16.7%
B 2
16.7%
T 1
8.3%
J 1
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4925
59.9%
ASCII 3291
40.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1224
37.2%
1 303
 
9.2%
) 240
 
7.3%
( 240
 
7.3%
2 200
 
6.1%
3 169
 
5.1%
5 137
 
4.2%
4 126
 
3.8%
- 105
 
3.2%
7 104
 
3.2%
Other values (13) 443
 
13.5%
Hangul
ValueCountFrequency (%)
451
 
9.2%
328
 
6.7%
318
 
6.5%
308
 
6.3%
304
 
6.2%
299
 
6.1%
287
 
5.8%
222
 
4.5%
189
 
3.8%
181
 
3.7%
Other values (204) 2038
41.4%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct286
Distinct (%)94.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.164406
Minimum35.051632
Maximum35.374623
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2023-12-11T01:36:11.658150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.051632
5-th percentile35.077028
Q135.108235
median35.150141
Q335.205466
95-th percentile35.327392
Maximum35.374623
Range0.32299065
Interquartile range (IQR)0.097230925

Descriptive statistics

Standard deviation0.072801909
Coefficient of variation (CV)0.0020703296
Kurtosis0.42492025
Mean35.164406
Median Absolute Deviation (MAD)0.04874644
Skewness0.97751979
Sum10654.815
Variance0.0053001179
MonotonicityNot monotonic
2023-12-11T01:36:11.789518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.16550049 3
 
1.0%
35.31166626 3
 
1.0%
35.3158681 2
 
0.7%
35.06466935 2
 
0.7%
35.15800243 2
 
0.7%
35.09964969 2
 
0.7%
35.08287925 2
 
0.7%
35.09838049 2
 
0.7%
35.13171866 2
 
0.7%
35.0854858 2
 
0.7%
Other values (276) 281
92.7%
ValueCountFrequency (%)
35.05163237 1
0.3%
35.0528278 1
0.3%
35.05581506 1
0.3%
35.06037627 1
0.3%
35.0628654 1
0.3%
35.06466935 2
0.7%
35.06503494 1
0.3%
35.06674892 1
0.3%
35.06944647 1
0.3%
35.07240653 1
0.3%
ValueCountFrequency (%)
35.37462302 1
0.3%
35.3703704 1
0.3%
35.36457072 1
0.3%
35.3613505 1
0.3%
35.35488657 1
0.3%
35.3477615 1
0.3%
35.34307717 1
0.3%
35.33590366 1
0.3%
35.33492461 1
0.3%
35.33418744 1
0.3%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct286
Distinct (%)94.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.97314
Minimum128.81253
Maximum129.27817
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2023-12-11T01:36:11.926708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.81253
5-th percentile128.83119
Q1128.8788
median128.95097
Q3129.03387
95-th percentile129.24606
Maximum129.27817
Range0.4656393
Interquartile range (IQR)0.15507395

Descriptive statistics

Standard deviation0.11939809
Coefficient of variation (CV)0.00092575933
Kurtosis-0.011188091
Mean128.97314
Median Absolute Deviation (MAD)0.0729242
Skewness0.93973393
Sum39078.862
Variance0.014255904
MonotonicityNot monotonic
2023-12-11T01:36:12.121153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.9509718 3
 
1.0%
129.1774522 3
 
1.0%
129.1901708 2
 
0.7%
128.9566294 2
 
0.7%
128.8579284 2
 
0.7%
128.8559665 2
 
0.7%
128.9541776 2
 
0.7%
128.8376694 2
 
0.7%
128.9676734 2
 
0.7%
128.8826858 2
 
0.7%
Other values (276) 281
92.7%
ValueCountFrequency (%)
128.8125323 1
0.3%
128.8138646 1
0.3%
128.816707 1
0.3%
128.8182265 1
0.3%
128.8192612 1
0.3%
128.8243331 1
0.3%
128.8248337 1
0.3%
128.8259304 1
0.3%
128.8274288 1
0.3%
128.8274923 1
0.3%
ValueCountFrequency (%)
129.2781716 1
0.3%
129.2659066 1
0.3%
129.2623492 1
0.3%
129.2605443 1
0.3%
129.2596264 1
0.3%
129.2595635 1
0.3%
129.2583488 1
0.3%
129.2583137 1
0.3%
129.2570893 1
0.3%
129.2551189 1
0.3%

원동력종류
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
태양광
301 
바이오가스
 
1
기타
 
1

Length

Max length5
Median length3
Mean length3.0033003
Min length2

Unique

Unique2 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
태양광 301
99.3%
바이오가스 1
 
0.3%
기타 1
 
0.3%

Length

2023-12-11T01:36:12.246714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:36:12.344426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
태양광 301
99.3%
바이오가스 1
 
0.3%
기타 1
 
0.3%
Distinct206
Distinct (%)68.0%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
Minimum2017-02-17 00:00:00
Maximum2021-09-01 00:00:00
2023-12-11T01:36:12.434676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:36:12.557372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Interactions

2023-12-11T01:36:07.763206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:36:06.125159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:36:06.695115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:36:07.223064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:36:07.893585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:36:06.264448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:36:06.819212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:36:07.375365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:36:08.022959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:36:06.420759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:36:06.954530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:36:07.488153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:36:08.140012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:36:06.552355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:36:07.084447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:36:07.627002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T01:36:12.648301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번설비용량위도경도원동력종류
순번1.0000.2400.1920.2950.000
설비용량0.2401.0000.2370.1130.612
위도0.1920.2371.0000.8250.215
경도0.2950.1130.8251.0000.091
원동력종류0.0000.6120.2150.0911.000
2023-12-11T01:36:12.766749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번설비용량위도경도원동력종류
순번1.0000.0300.0560.0720.000
설비용량0.0301.000-0.255-0.4260.477
위도0.056-0.2551.0000.5360.129
경도0.072-0.4260.5361.0000.053
원동력종류0.0000.4770.1290.0531.000

Missing values

2023-12-11T01:36:08.303584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:36:08.507536image/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

순번발전소명허가일자설비용량도로명주소위도경도원동력종류사업개시일
01경동 태양광발전소2021-05-2029.25부산광역시 연제구 거제대로178번길 60 (거제동)35.183568129.07335태양광2021-08-27
12시울프마린 태양광발전소2021-04-2629.64부산광역시 사상구 사상로319번길 64 (덕포동)35.17366128.980082태양광2021-06-09
23주식회사 엔에스(엔에스2호 태양광발전소)2021-04-1931.88부산광역시 강서구 미음산단로37번길 9 (구랑동)35.128863128.852312태양광2021-05-17
34볼포스(주)(볼포스1호 태양광발전소)2021-04-1699.88부산광역시 강서구 과학산단2로43번길 18 (지사동)35.153235128.831954태양광2021-08-16
45영광2 태양광발전소2021-04-1329.58부산광역시 강서구 낙동남로605번길 58 (녹산동)35.114759128.883287태양광2021-07-05
56영광1 태양광발전소2021-04-1329.58부산광역시 강서구 낙동남로605번길 60 (녹산동)35.114762128.88287태양광2021-07-05
67(주)유림하우징랜드(유림하우징 발전소)2021-03-2415.2부산광역시 금정구 개좌로 94 (금사동)35.221108129.113509태양광2021-06-22
78(주)선재하엔지니어링(선재하 태양광발전소)2021-03-23298.41부산광역시 기장군 장안읍 명례산단5로 93, (주)현대철강35.37037129.251022태양광2021-08-12
89켑코솔라(주)(KEPCO-14-F01 신흥TG 태양광발전소2021-01-28710.1부산광역시 강서구 화전산단2로133번길 40 (화전동)35.107482128.887432태양광2021-05-03
910(주)에이비엠솔라(동화엔텍 녹산산단 태양광발전소)2021-01-20715.76부산광역시 강서구 녹산산단261로 7 (송정동)35.089625128.844609태양광2021-09-01
순번발전소명허가일자설비용량도로명주소위도경도원동력종류사업개시일
293294제2호 아림태양광발전소2017-03-2930.15부산광역시 강서구 대저로89번길 52 (대저1동)35.217352128.963099태양광2018-10-02
294295구포국수 태양광발전소2017-03-0888.44부산광역시 강서구 식만로259번길 5235.215799128.912336태양광2017-08-30
295296기린 태양광발전소2017-03-0664.32부산광역시 해운대구 송정동 129-5 (지붕 위)35.185965129.202775태양광2017-05-26
296297해동메탈 태양광발전소2017-03-06201.67부산광역시 강서구 미음산단3로 82 (미음동)35.15165128.860122태양광2017-06-19
297298(주)삼명사 태양광발전소2017-03-03386.0부산광역시 강서구 화전산단6로 46, 1층 (화전동,외1필지(50))35.101127128.883743태양광2017-05-31
298299모짜르트 태양광발전소2017-03-0219.04부산시중구광복중앙로22-135.101394129.031106태양광2017-06-09
299300플러스유통2017-01-2665.0부산광역시 강서구 가락대로1397번길 157-7 (봉림동)35.192749128.898033태양광2017-03-22
300301동진섬유(신평센타) 태양광발전소2017-01-1097.92부산광역시 사하구 다대로170번길 17 (신평동)35.08727128.975613태양광2017-02-17
301302다원 태양광발전소2017-01-0569.76부산광역시 강서구 대저중앙로 138-9 (대저1동)35.218979128.96258태양광2017-10-19
302303성광기전 태양광발전소2017-01-0558.9부산시 강서구 낙동북로126번길1335.215312128.942865태양광2017-07-05