Overview

Dataset statistics

Number of variables15
Number of observations765
Missing cells343
Missing cells (%)3.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory92.0 KiB
Average record size in memory123.2 B

Variable types

Numeric2
Text4
Categorical4
DateTime5

Dataset

Description태양광발전소 인허가번호, 인허과관리번호, 상호, 영업구분, 원동력의종류, 설비용량, 공급전압, 주파수, 허가일자, 기타사항, 사업개시일
URLhttps://www.data.go.kr/data/15048677/fileData.do

Alerts

원동력의종류 is highly imbalanced (97.5%)Imbalance
공급전압V is highly imbalanced (62.9%)Imbalance
주파수Hz is highly imbalanced (98.2%)Imbalance
사업개시일 has 343 (44.8%) missing valuesMissing
순번 has unique valuesUnique
인허가번호 has unique valuesUnique
인허가관리번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 00:18:33.895698
Analysis finished2023-12-12 00:18:35.549434
Duration1.65 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct765
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean383
Minimum1
Maximum765
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.9 KiB
2023-12-12T09:18:35.625977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile39.2
Q1192
median383
Q3574
95-th percentile726.8
Maximum765
Range764
Interquartile range (IQR)382

Descriptive statistics

Standard deviation220.98077
Coefficient of variation (CV)0.57697329
Kurtosis-1.2
Mean383
Median Absolute Deviation (MAD)191
Skewness0
Sum292995
Variance48832.5
MonotonicityStrictly increasing
2023-12-12T09:18:35.753443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
515 1
 
0.1%
506 1
 
0.1%
507 1
 
0.1%
508 1
 
0.1%
509 1
 
0.1%
510 1
 
0.1%
511 1
 
0.1%
512 1
 
0.1%
513 1
 
0.1%
Other values (755) 755
98.7%
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 (%)
765 1
0.1%
764 1
0.1%
763 1
0.1%
762 1
0.1%
761 1
0.1%
760 1
0.1%
759 1
0.1%
758 1
0.1%
757 1
0.1%
756 1
0.1%

인허가번호
Text

UNIQUE 

Distinct765
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
2023-12-12T09:18:35.946638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length23
Mean length23
Min length23

Characters and Unicode

Total characters17595
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique765 ?
Unique (%)100.0%

Sample

1st row2023-5670000-38-5-00110
2nd row2023-5670000-38-5-00109
3rd row2023-5670000-38-5-00108
4th row2023-5670000-38-5-00107
5th row2023-5670000-38-5-00106
ValueCountFrequency (%)
2023-5670000-38-5-00110 1
 
0.1%
2018-5670000-38-5-00014 1
 
0.1%
2018-5670000-38-5-00012 1
 
0.1%
2018-5670000-38-5-00011 1
 
0.1%
2018-5670000-38-5-00010 1
 
0.1%
2018-5670000-38-5-00009 1
 
0.1%
2018-5670000-38-5-00008 1
 
0.1%
2018-5670000-38-5-00007 1
 
0.1%
2018-5670000-38-5-00006 1
 
0.1%
2018-5670000-38-5-00005 1
 
0.1%
Other values (755) 755
98.7%
2023-12-12T09:18:36.332090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 6267
35.6%
- 3060
17.4%
5 1696
 
9.6%
2 1454
 
8.3%
3 1082
 
6.1%
7 975
 
5.5%
8 952
 
5.4%
6 919
 
5.2%
1 759
 
4.3%
4 227
 
1.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 14535
82.6%
Dash Punctuation 3060
 
17.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 6267
43.1%
5 1696
 
11.7%
2 1454
 
10.0%
3 1082
 
7.4%
7 975
 
6.7%
8 952
 
6.5%
6 919
 
6.3%
1 759
 
5.2%
4 227
 
1.6%
9 204
 
1.4%
Dash Punctuation
ValueCountFrequency (%)
- 3060
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 17595
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 6267
35.6%
- 3060
17.4%
5 1696
 
9.6%
2 1454
 
8.3%
3 1082
 
6.1%
7 975
 
5.5%
8 952
 
5.4%
6 919
 
5.2%
1 759
 
4.3%
4 227
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 17595
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 6267
35.6%
- 3060
17.4%
5 1696
 
9.6%
2 1454
 
8.3%
3 1082
 
6.1%
7 975
 
5.5%
8 952
 
5.4%
6 919
 
5.2%
1 759
 
4.3%
4 227
 
1.3%

인허가관리번호
Text

UNIQUE 

Distinct765
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
2023-12-12T09:18:36.606192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length10
Mean length11.576471
Min length9

Characters and Unicode

Total characters8856
Distinct characters19
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

Unique765 ?
Unique (%)100.0%

Sample

1st row창원2023-701
2nd row창원2023-700
3rd row창원2023-699
4th row창원2023-698
5th row창원2023-697
ValueCountFrequency (%)
창원2023-701 1
 
0.1%
창원2018-200 1
 
0.1%
창원2018-198 1
 
0.1%
창원2018-197 1
 
0.1%
창원2018-196 1
 
0.1%
창원2018-195 1
 
0.1%
창원2018-194 1
 
0.1%
창원2018-193 1
 
0.1%
창원2018-192 1
 
0.1%
창원2018-191 1
 
0.1%
Other values (755) 755
98.7%
2023-12-12T09:18:37.015578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1983
22.4%
2 1536
17.3%
1 949
10.7%
- 614
 
6.9%
창 613
 
6.9%
원 613
 
6.9%
8 511
 
5.8%
4 471
 
5.3%
6 416
 
4.7%
3 403
 
4.6%
Other values (9) 747
 
8.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7006
79.1%
Other Letter 1232
 
13.9%
Dash Punctuation 614
 
6.9%
Open Punctuation 2
 
< 0.1%
Close Punctuation 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1983
28.3%
2 1536
21.9%
1 949
13.5%
8 511
 
7.3%
4 471
 
6.7%
6 416
 
5.9%
3 403
 
5.8%
5 270
 
3.9%
9 246
 
3.5%
7 221
 
3.2%
Other Letter
ValueCountFrequency (%)
창 613
49.8%
원 613
49.8%
중 2
 
0.2%
복 2
 
0.2%
경 1
 
0.1%
남 1
 
0.1%
Dash Punctuation
ValueCountFrequency (%)
- 614
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7624
86.1%
Hangul 1232
 
13.9%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1983
26.0%
2 1536
20.1%
1 949
12.4%
- 614
 
8.1%
8 511
 
6.7%
4 471
 
6.2%
6 416
 
5.5%
3 403
 
5.3%
5 270
 
3.5%
9 246
 
3.2%
Other values (3) 225
 
3.0%
Hangul
ValueCountFrequency (%)
창 613
49.8%
원 613
49.8%
중 2
 
0.2%
복 2
 
0.2%
경 1
 
0.1%
남 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7624
86.1%
Hangul 1232
 
13.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1983
26.0%
2 1536
20.1%
1 949
12.4%
- 614
 
8.1%
8 511
 
6.7%
4 471
 
6.2%
6 416
 
5.5%
3 403
 
5.3%
5 270
 
3.5%
9 246
 
3.2%
Other values (3) 225
 
3.0%
Hangul
ValueCountFrequency (%)
창 613
49.8%
원 613
49.8%
중 2
 
0.2%
복 2
 
0.2%
경 1
 
0.1%
남 1
 
0.1%

상호
Text

Distinct746
Distinct (%)97.5%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
2023-12-12T09:18:37.489699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length29
Mean length12.227451
Min length4

Characters and Unicode

Total characters9354
Distinct characters385
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique731 ?
Unique (%)95.6%

Sample

1st row우리그린 1호 태양광발전소
2nd row천주 태양광발전소
3rd row대산 태양광발전소
4th row에이치에스지 태양광발전소
5th row미래산업 태양광발전소
ValueCountFrequency (%)
태양광발전소 639
40.4%
부산신항 22
 
1.4%
주식회사 14
 
0.9%
2호 13
 
0.8%
1호 12
 
0.8%
발전소 11
 
0.7%
창원 9
 
0.6%
와이에이치아이 7
 
0.4%
가유 5
 
0.3%
3호 5
 
0.3%
Other values (779) 843
53.4%
2023-12-12T09:18:38.119293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
816
 
8.7%
전 757
 
8.1%
소 741
 
7.9%
발 740
 
7.9%
광 724
 
7.7%
양 718
 
7.7%
태 712
 
7.6%
호 193
 
2.1%
1 127
 
1.4%
2 100
 
1.1%
Other values (375) 3726
39.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7748
82.8%
Space Separator 816
 
8.7%
Decimal Number 410
 
4.4%
Uppercase Letter 98
 
1.0%
Close Punctuation 76
 
0.8%
Open Punctuation 76
 
0.8%
Dash Punctuation 67
 
0.7%
Lowercase Letter 55
 
0.6%
Other Punctuation 5
 
0.1%
Connector Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 757
 
9.8%
소 741
 
9.6%
발 740
 
9.6%
광 724
 
9.3%
양 718
 
9.3%
태 712
 
9.2%
호 193
 
2.5%
원 92
 
1.2%
이 91
 
1.2%
주 87
 
1.1%
Other values (329) 2893
37.3%
Uppercase Letter
ValueCountFrequency (%)
S 14
14.3%
K 10
10.2%
E 10
10.2%
G 8
8.2%
M 8
8.2%
N 7
7.1%
C 7
7.1%
F 7
7.1%
L 5
 
5.1%
T 5
 
5.1%
Other values (10) 17
17.3%
Decimal Number
ValueCountFrequency (%)
1 127
31.0%
2 100
24.4%
3 44
 
10.7%
4 31
 
7.6%
6 29
 
7.1%
5 27
 
6.6%
0 26
 
6.3%
7 12
 
2.9%
9 8
 
2.0%
8 6
 
1.5%
Lowercase Letter
ValueCountFrequency (%)
c 11
20.0%
k 11
20.0%
e 11
20.0%
p 11
20.0%
o 11
20.0%
Other Punctuation
ValueCountFrequency (%)
# 2
40.0%
. 2
40.0%
& 1
20.0%
Close Punctuation
ValueCountFrequency (%)
) 74
97.4%
] 2
 
2.6%
Open Punctuation
ValueCountFrequency (%)
( 74
97.4%
[ 2
 
2.6%
Space Separator
ValueCountFrequency (%)
816
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 67
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7749
82.8%
Common 1452
 
15.5%
Latin 153
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 757
 
9.8%
소 741
 
9.6%
발 740
 
9.5%
광 724
 
9.3%
양 718
 
9.3%
태 712
 
9.2%
호 193
 
2.5%
원 92
 
1.2%
이 91
 
1.2%
주 87
 
1.1%
Other values (330) 2894
37.3%
Latin
ValueCountFrequency (%)
S 14
 
9.2%
c 11
 
7.2%
k 11
 
7.2%
e 11
 
7.2%
p 11
 
7.2%
o 11
 
7.2%
K 10
 
6.5%
E 10
 
6.5%
G 8
 
5.2%
M 8
 
5.2%
Other values (15) 48
31.4%
Common
ValueCountFrequency (%)
816
56.2%
1 127
 
8.7%
2 100
 
6.9%
) 74
 
5.1%
( 74
 
5.1%
- 67
 
4.6%
3 44
 
3.0%
4 31
 
2.1%
6 29
 
2.0%
5 27
 
1.9%
Other values (10) 63
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7748
82.8%
ASCII 1605
 
17.2%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
816
50.8%
1 127
 
7.9%
2 100
 
6.2%
) 74
 
4.6%
( 74
 
4.6%
- 67
 
4.2%
3 44
 
2.7%
4 31
 
1.9%
6 29
 
1.8%
5 27
 
1.7%
Other values (35) 216
 
13.5%
Hangul
ValueCountFrequency (%)
전 757
 
9.8%
소 741
 
9.6%
발 740
 
9.6%
광 724
 
9.3%
양 718
 
9.3%
태 712
 
9.2%
호 193
 
2.5%
원 92
 
1.2%
이 91
 
1.2%
주 87
 
1.1%
Other values (329) 2893
37.3%
None
ValueCountFrequency (%)
㈜ 1
100.0%

설치장소소재지
Text

Distinct671
Distinct (%)87.7%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
2023-12-12T09:18:38.426734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length86
Median length44
Mean length31.057516
Min length21

Characters and Unicode

Total characters23759
Distinct characters288
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique611 ?
Unique (%)79.9%

Sample

1st row경상남도 창원시 성산구 반월로 16, (유)리앤리테크 (신촌동)
2nd row경상남도 창원시 의창구 북면 천주로 463
3rd row경상남도 창원시 의창구 대산면 진산대로469번길 52
4th row경상남도 창원시 의창구 대산면 봉강가술로477번길 28-3
5th row경상남도 창원시 마산합포구 진북면 진북산업로 330
ValueCountFrequency (%)
경상남도 765
 
15.6%
창원시 765
 
15.6%
의창구 275
 
5.6%
성산구 161
 
3.3%
마산합포구 140
 
2.9%
마산회원구 104
 
2.1%
대산면 90
 
1.8%
진해구 85
 
1.7%
진북면 60
 
1.2%
동읍 54
 
1.1%
Other values (1083) 2392
48.9%
2023-12-12T09:18:38.964833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4126
 
17.4%
창 1087
 
4.6%
남 941
 
4.0%
원 938
 
3.9%
구 789
 
3.3%
도 778
 
3.3%
상 777
 
3.3%
시 776
 
3.3%
경 773
 
3.3%
산 698
 
2.9%
Other values (278) 12076
50.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 14984
63.1%
Space Separator 4126
 
17.4%
Decimal Number 3113
 
13.1%
Open Punctuation 523
 
2.2%
Close Punctuation 523
 
2.2%
Other Punctuation 248
 
1.0%
Dash Punctuation 206
 
0.9%
Uppercase Letter 36
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
창 1087
 
7.3%
남 941
 
6.3%
원 938
 
6.3%
구 789
 
5.3%
도 778
 
5.2%
상 777
 
5.2%
시 776
 
5.2%
경 773
 
5.2%
산 698
 
4.7%
동 595
 
4.0%
Other values (246) 6832
45.6%
Uppercase Letter
ValueCountFrequency (%)
B 5
13.9%
D 4
11.1%
M 4
11.1%
T 4
11.1%
S 4
11.1%
C 3
8.3%
L 2
 
5.6%
I 2
 
5.6%
A 2
 
5.6%
N 2
 
5.6%
Other values (3) 4
11.1%
Decimal Number
ValueCountFrequency (%)
1 623
20.0%
2 461
14.8%
3 389
12.5%
4 262
8.4%
5 258
8.3%
6 258
8.3%
7 242
 
7.8%
8 241
 
7.7%
0 208
 
6.7%
9 171
 
5.5%
Other Punctuation
ValueCountFrequency (%)
, 244
98.4%
· 3
 
1.2%
* 1
 
0.4%
Open Punctuation
ValueCountFrequency (%)
( 522
99.8%
[ 1
 
0.2%
Close Punctuation
ValueCountFrequency (%)
) 522
99.8%
] 1
 
0.2%
Space Separator
ValueCountFrequency (%)
4126
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 206
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 14984
63.1%
Common 8739
36.8%
Latin 36
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
창 1087
 
7.3%
남 941
 
6.3%
원 938
 
6.3%
구 789
 
5.3%
도 778
 
5.2%
상 777
 
5.2%
시 776
 
5.2%
경 773
 
5.2%
산 698
 
4.7%
동 595
 
4.0%
Other values (246) 6832
45.6%
Common
ValueCountFrequency (%)
4126
47.2%
1 623
 
7.1%
( 522
 
6.0%
) 522
 
6.0%
2 461
 
5.3%
3 389
 
4.5%
4 262
 
3.0%
5 258
 
3.0%
6 258
 
3.0%
, 244
 
2.8%
Other values (9) 1074
 
12.3%
Latin
ValueCountFrequency (%)
B 5
13.9%
D 4
11.1%
M 4
11.1%
T 4
11.1%
S 4
11.1%
C 3
8.3%
L 2
 
5.6%
I 2
 
5.6%
A 2
 
5.6%
N 2
 
5.6%
Other values (3) 4
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 14984
63.1%
ASCII 8772
36.9%
None 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4126
47.0%
1 623
 
7.1%
( 522
 
6.0%
) 522
 
6.0%
2 461
 
5.3%
3 389
 
4.4%
4 262
 
3.0%
5 258
 
2.9%
6 258
 
2.9%
, 244
 
2.8%
Other values (21) 1107
 
12.6%
Hangul
ValueCountFrequency (%)
창 1087
 
7.3%
남 941
 
6.3%
원 938
 
6.3%
구 789
 
5.3%
도 778
 
5.2%
상 777
 
5.2%
시 776
 
5.2%
경 773
 
5.2%
산 698
 
4.7%
동 595
 
4.0%
Other values (246) 6832
45.6%
None
ValueCountFrequency (%)
· 3
100.0%

영업구분
Categorical

Distinct6
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
사업개시
420 
인허가
170 
인허가취소
92 
공사진행
 
41
폐업
 
28

Length

Max length6
Median length4
Mean length3.8614379
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사업개시 420
54.9%
인허가 170
22.2%
인허가취소 92
 
12.0%
공사진행 41
 
5.4%
폐업 28
 
3.7%
타시군구이관 14
 
1.8%

Length

2023-12-12T09:18:39.104490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:18:39.226110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사업개시 420
54.9%
인허가 170
22.2%
인허가취소 92
 
12.0%
공사진행 41
 
5.4%
폐업 28
 
3.7%
타시군구이관 14
 
1.8%

원동력의종류
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
태양광
761 
화력
 
1
연료전지
 
1
바이오가스
 
1
가스엔진발전기
 
1

Length

Max length7
Median length3
Mean length3.0078431
Min length2

Unique

Unique4 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
태양광 761
99.5%
화력 1
 
0.1%
연료전지 1
 
0.1%
바이오가스 1
 
0.1%
가스엔진발전기 1
 
0.1%

Length

2023-12-12T09:18:39.349636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:18:39.485849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
태양광 761
99.5%
화력 1
 
0.1%
연료전지 1
 
0.1%
바이오가스 1
 
0.1%
가스엔진발전기 1
 
0.1%

설비용량KW
Real number (ℝ)

Distinct534
Distinct (%)69.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean190.3263
Minimum3.15
Maximum999.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.9 KiB
2023-12-12T09:18:39.643735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.15
5-th percentile15
Q140.32
median98.4
Q3200
95-th percentile890.832
Maximum999.6
Range996.45
Interquartile range (IQR)159.68

Descriptive statistics

Standard deviation249.16951
Coefficient of variation (CV)1.3091702
Kurtosis3.3628712
Mean190.3263
Median Absolute Deviation (MAD)68.1
Skewness2.0664281
Sum145599.62
Variance62085.446
MonotonicityNot monotonic
2023-12-12T09:18:39.785399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
99.96 18
 
2.4%
99.0 14
 
1.8%
99.71 11
 
1.4%
30.0 10
 
1.3%
99.19 9
 
1.2%
99.84 9
 
1.2%
97.44 7
 
0.9%
99.6 7
 
0.9%
97.2 7
 
0.9%
99.45 7
 
0.9%
Other values (524) 666
87.1%
ValueCountFrequency (%)
3.15 1
 
0.1%
5.0 1
 
0.1%
6.75 1
 
0.1%
9.0 1
 
0.1%
9.48 1
 
0.1%
9.6 4
0.5%
9.86 1
 
0.1%
10.0 5
0.7%
10.08 1
 
0.1%
11.25 1
 
0.1%
ValueCountFrequency (%)
999.6 2
0.3%
999.4 1
 
0.1%
999.0 4
0.5%
998.64 1
 
0.1%
998.4 2
0.3%
997.92 3
0.4%
996.96 1
 
0.1%
996.86 1
 
0.1%
996.6 1
 
0.1%
996.0 1
 
0.1%

공급전압V
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
380
629 
22,900
74 
220
 
37
22900
 
20
<NA>
 
4

Length

Max length9
Median length3
Mean length3.3555556
Min length3

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row380
2nd row380
3rd row380
4th row380
5th row380

Common Values

ValueCountFrequency (%)
380 629
82.2%
22,900 74
 
9.7%
220 37
 
4.8%
22900 20
 
2.6%
<NA> 4
 
0.5%
380/22900 1
 
0.1%

Length

2023-12-12T09:18:39.923662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:18:40.045627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
380 629
82.2%
22,900 74
 
9.7%
220 37
 
4.8%
22900 20
 
2.6%
na 4
 
0.5%
380/22900 1
 
0.1%

주파수Hz
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
60
763 
0
 
1
380
 
1

Length

Max length3
Median length2
Mean length2
Min length1

Unique

Unique2 ?
Unique (%)0.3%

Sample

1st row60
2nd row60
3rd row60
4th row60
5th row60

Common Values

ValueCountFrequency (%)
60 763
99.7%
0 1
 
0.1%
380 1
 
0.1%

Length

2023-12-12T09:18:40.200175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:18:40.310899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
60 763
99.7%
0 1
 
0.1%
380 1
 
0.1%

허가일자
Date

Distinct383
Distinct (%)50.1%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
Minimum2007-10-08 00:00:00
Maximum2023-07-20 00:00:00
2023-12-12T09:18:40.461900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:18:40.681739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

접수(등록)일자
Date

Distinct299
Distinct (%)39.1%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
Minimum2015-08-21 00:00:00
Maximum2023-07-20 00:00:00
2023-12-12T09:18:40.862749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:18:41.047498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

준비시간시작일
Date

Distinct382
Distinct (%)49.9%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
Minimum2007-10-08 00:00:00
Maximum2023-07-20 00:00:00
2023-12-12T09:18:41.214480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:18:41.402665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

준비기간종료일
Date

Distinct412
Distinct (%)53.9%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
Minimum2010-10-07 00:00:00
Maximum2025-05-18 00:00:00
2023-12-12T09:18:41.536095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:18:41.675669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

사업개시일
Date

MISSING 

Distinct336
Distinct (%)79.6%
Missing343
Missing (%)44.8%
Memory size6.1 KiB
Minimum2007-12-26 00:00:00
Maximum2023-07-10 00:00:00
2023-12-12T09:18:41.817333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:18:41.968327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Interactions

2023-12-12T09:18:34.789879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:18:34.587821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:18:34.901615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:18:34.684281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T09:18:42.080634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번영업구분원동력의종류설비용량KW공급전압V주파수Hz
순번1.0000.5150.0000.2510.4310.000
영업구분0.5151.0000.1520.4270.2980.000
원동력의종류0.0000.1521.0000.5810.1680.000
설비용량KW0.2510.4270.5811.0000.8210.000
공급전압V0.4310.2980.1680.8211.0000.183
주파수Hz0.0000.0000.0000.0000.1831.000
2023-12-12T09:18:42.231256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
원동력의종류공급전압V주파수Hz영업구분
원동력의종류1.0000.0630.0000.103
공급전압V0.0631.0000.1390.206
주파수Hz0.0000.1391.0000.000
영업구분0.1030.2060.0001.000
2023-12-12T09:18:42.327627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번설비용량KW영업구분원동력의종류공급전압V주파수Hz
순번1.000-0.1180.3010.0000.1920.000
설비용량KW-0.1181.0000.2400.2780.4780.000
영업구분0.3010.2401.0000.1030.2060.000
원동력의종류0.0000.2780.1031.0000.0630.000
공급전압V0.1920.4780.2060.0631.0000.139
주파수Hz0.0000.0000.0000.0000.1391.000

Missing values

2023-12-12T09:18:35.282550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T09:18:35.472496image/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

순번인허가번호인허가관리번호상호설치장소소재지영업구분원동력의종류설비용량KW공급전압V주파수Hz허가일자접수(등록)일자준비시간시작일준비기간종료일사업개시일
012023-5670000-38-5-00110창원2023-701우리그린 1호 태양광발전소경상남도 창원시 성산구 반월로 16, (유)리앤리테크 (신촌동)인허가태양광341.55380602023-07-202023-07-202023-07-202025-01-19<NA>
122023-5670000-38-5-00109창원2023-700천주 태양광발전소경상남도 창원시 의창구 북면 천주로 463인허가태양광83.3380602023-07-142023-07-142023-07-142025-01-13<NA>
232023-5670000-38-5-00108창원2023-699대산 태양광발전소경상남도 창원시 의창구 대산면 진산대로469번길 52인허가태양광99.6380602023-07-122023-07-122023-07-122025-01-11<NA>
342023-5670000-38-5-00107창원2023-698에이치에스지 태양광발전소경상남도 창원시 의창구 대산면 봉강가술로477번길 28-3인허가태양광45.0380602023-07-122023-07-122023-07-122025-01-11<NA>
452023-5670000-38-5-00106창원2023-697미래산업 태양광발전소경상남도 창원시 마산합포구 진북면 진북산업로 330인허가태양광142.56380602023-07-112023-07-112023-07-112025-01-10<NA>
562023-5670000-38-5-00105창원2023-696미래 태양광발전소경상남도 창원시 마산합포구 진북면 진북산업로 140-56인허가태양광36.96380602023-07-072023-07-072023-07-072025-01-06<NA>
672023-5670000-38-5-00104창원2023-695국도도로안전 태양광발전소경상남도 창원시 마산합포구 진동면 죽전샛길 21인허가태양광77.88380602023-07-072023-07-072023-07-072025-01-06<NA>
782023-5670000-38-5-00103창원2023-694혜성 3호 태양광발전소경상남도 창원시 의창구 대산면 진남로 71인허가태양광24.81380602023-07-042023-07-042023-07-042025-01-03<NA>
892023-5670000-38-5-00102창원2023-693혜성 2호 태양광발전소경상남도 창원시 의창구 대산면 진남로 73인허가태양광79.2380602023-07-042023-07-042023-07-042025-01-03<NA>
9102023-5670000-38-5-00101창원2023-692대한시스텍 태양광발전소경상남도 창원시 성산구 공단로 308-38, 대한시스텍(주) (웅남동)인허가태양광128.26380602023-06-272023-06-272023-06-272024-12-26<NA>
순번인허가번호인허가관리번호상호설치장소소재지영업구분원동력의종류설비용량KW공급전압V주파수Hz허가일자접수(등록)일자준비시간시작일준비기간종료일사업개시일
7557562009-5670000-38-5-00117200964800008100117(주)바론이엔씨경상남도 창원시 성산구 공단로21번길 40 (신촌동)인허가취소태양광28.32380602009-12-282016-01-122009-12-282012-12-27<NA>
7567572009-5670000-38-5-00095200964800008100095상리태양광발전소경상남도 창원시 의창구 대산면 갈전로 67-28폐업태양광20.2380602009-09-022016-01-122009-09-022012-09-01<NA>
7577582009-5670000-38-5-00072200964800008100072석곤태양광발전소경상남도 창원시 의창구 대산면 진산대로260번길 32인허가취소태양광9.6220602009-06-302016-01-122009-06-302012-06-29<NA>
7587592009-5670000-38-5-00053200964800008100053광화태양광발전소경상남도 창원시 진해구 백구로 43 (광화동)사업개시태양광9.6220602009-06-012016-01-122009-06-012012-05-312011-10-18
7597602009-5670000-38-5-00048200964800008100048우창태양광발전소경상남도 창원시 진해구 중원동로 75, 섬마을칼국수 (송학동)사업개시태양광9.6220602009-04-172016-01-122009-04-172012-04-162009-09-10
7607612009-5670000-38-5-00016200964800008100016덕동태양광발전소경상남도 창원시 마산합포구 덕동길 126 (덕동동)사업개시태양광19.6380602009-01-202016-01-122009-01-202012-01-192011-12-07
7617622009-5670000-38-5-00012200964800008100012경남에너지주식회사 태양광발전소경상남도 창원시 성산구 연덕로 18 (웅남동)사업개시태양광28.0380602009-01-202016-01-122009-01-202012-01-192011-12-07
7627632008-5670000-38-5-00075200864800008100074창원YMCA햇빛발전소경상남도 창원시 의창구 태복산로3번길 5 (도계동)사업개시태양광5.0220602008-10-072016-01-122008-10-072011-10-062008-12-26
7637642008-5670000-38-5-00040200864800008100040준석 태양광발전소경상남도 창원시 의창구 대산면 유등로359번길 30-1사업개시태양광29.4380602008-06-172016-01-122008-06-172011-06-162008-09-30
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