Overview

Dataset statistics

Number of variables5
Number of observations1072
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory43.1 KiB
Average record size in memory41.1 B

Variable types

Text2
Numeric1
DateTime2

Dataset

Description경상북도 영양군 신재생에너지 정보에따른 태양광발전소명, 발전소주소, 발전소용량, 발전허가일, 기준일을 제공합니다.
URLhttps://www.data.go.kr/data/15034123/fileData.do

Alerts

데이터기준일자 has constant value ""Constant

Reproduction

Analysis started2023-12-12 22:31:49.001215
Analysis finished2023-12-12 22:31:49.532505
Duration0.53 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Distinct998
Distinct (%)93.1%
Missing0
Missing (%)0.0%
Memory size8.5 KiB
2023-12-13T07:31:49.693525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length19
Mean length9.0708955
Min length2

Characters and Unicode

Total characters9724
Distinct characters350
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

Unique942 ?
Unique (%)87.9%

Sample

1st row화매솔라7호태양광발전소
2nd row화매솔라5호태양광발전소
3rd row온유2태양광발전소
4th row온유1태양광발전소
5th row금강3호태양에너지
ValueCountFrequency (%)
태양광발전소 48
 
4.2%
주식회사 10
 
0.9%
일광태양광발전소 5
 
0.4%
행복태양광발전소 4
 
0.4%
양지태양광발전소 4
 
0.4%
석보태양광발전소 4
 
0.4%
수진태양광발전소 3
 
0.3%
햇살태양광발전소 3
 
0.3%
수성태양광발전소 3
 
0.3%
청기태양광발전소 3
 
0.3%
Other values (997) 1055
92.4%
2023-12-13T07:31:50.058127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
988
 
10.2%
967
 
9.9%
957
 
9.8%
953
 
9.8%
947
 
9.7%
933
 
9.6%
351
 
3.6%
2 147
 
1.5%
143
 
1.5%
1 140
 
1.4%
Other values (340) 3198
32.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9008
92.6%
Decimal Number 448
 
4.6%
Space Separator 70
 
0.7%
Uppercase Letter 57
 
0.6%
Close Punctuation 51
 
0.5%
Open Punctuation 51
 
0.5%
Other Symbol 24
 
0.2%
Lowercase Letter 10
 
0.1%
Dash Punctuation 4
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
988
 
11.0%
967
 
10.7%
957
 
10.6%
953
 
10.6%
947
 
10.5%
933
 
10.4%
351
 
3.9%
143
 
1.6%
115
 
1.3%
89
 
1.0%
Other values (300) 2565
28.5%
Uppercase Letter
ValueCountFrequency (%)
S 20
35.1%
J 7
 
12.3%
P 6
 
10.5%
H 4
 
7.0%
K 4
 
7.0%
G 2
 
3.5%
C 2
 
3.5%
M 2
 
3.5%
D 2
 
3.5%
Y 2
 
3.5%
Other values (6) 6
 
10.5%
Decimal Number
ValueCountFrequency (%)
2 147
32.8%
1 140
31.2%
3 65
14.5%
4 32
 
7.1%
5 21
 
4.7%
6 11
 
2.5%
7 11
 
2.5%
0 7
 
1.6%
9 7
 
1.6%
8 7
 
1.6%
Lowercase Letter
ValueCountFrequency (%)
e 3
30.0%
r 1
 
10.0%
n 1
 
10.0%
g 1
 
10.0%
y 1
 
10.0%
o 1
 
10.0%
c 1
 
10.0%
p 1
 
10.0%
Space Separator
ValueCountFrequency (%)
70
100.0%
Close Punctuation
ValueCountFrequency (%)
) 51
100.0%
Open Punctuation
ValueCountFrequency (%)
( 51
100.0%
Other Symbol
ValueCountFrequency (%)
24
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9032
92.9%
Common 625
 
6.4%
Latin 67
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
988
 
10.9%
967
 
10.7%
957
 
10.6%
953
 
10.6%
947
 
10.5%
933
 
10.3%
351
 
3.9%
143
 
1.6%
115
 
1.3%
89
 
1.0%
Other values (301) 2589
28.7%
Latin
ValueCountFrequency (%)
S 20
29.9%
J 7
 
10.4%
P 6
 
9.0%
H 4
 
6.0%
K 4
 
6.0%
e 3
 
4.5%
G 2
 
3.0%
C 2
 
3.0%
M 2
 
3.0%
D 2
 
3.0%
Other values (14) 15
22.4%
Common
ValueCountFrequency (%)
2 147
23.5%
1 140
22.4%
70
11.2%
3 65
10.4%
) 51
 
8.2%
( 51
 
8.2%
4 32
 
5.1%
5 21
 
3.4%
6 11
 
1.8%
7 11
 
1.8%
Other values (5) 26
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9008
92.6%
ASCII 692
 
7.1%
None 24
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
988
 
11.0%
967
 
10.7%
957
 
10.6%
953
 
10.6%
947
 
10.5%
933
 
10.4%
351
 
3.9%
143
 
1.6%
115
 
1.3%
89
 
1.0%
Other values (300) 2565
28.5%
ASCII
ValueCountFrequency (%)
2 147
21.2%
1 140
20.2%
70
10.1%
3 65
9.4%
) 51
 
7.4%
( 51
 
7.4%
4 32
 
4.6%
5 21
 
3.0%
S 20
 
2.9%
6 11
 
1.6%
Other values (29) 84
12.1%
None
ValueCountFrequency (%)
24
100.0%
Distinct697
Distinct (%)65.0%
Missing0
Missing (%)0.0%
Memory size8.5 KiB
2023-12-13T07:31:50.338805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length67
Median length60
Mean length31.234142
Min length18

Characters and Unicode

Total characters33483
Distinct characters143
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique522 ?
Unique (%)48.7%

Sample

1st row경상북도 영양군 석보면 화매리 32번지(토지 위)
2nd row경상북도 영양군 석보면 화매리 31, 32번지(토지 위)
3rd row경상북도 영양군 석보면 지경리 229-51, 산52-84번지(토지 위)
4th row경상북도 영양군 석보면 지경리 229-6번지(토지 위)
5th row경상북도 영양군 수비면 발리리 227-2, 227-3번지(건물 위)
ValueCountFrequency (%)
경상북도 1072
 
14.4%
영양군 1070
 
14.3%
토지위 446
 
6.0%
석보면 353
 
4.7%
243
 
3.3%
235
 
3.2%
청기면 218
 
2.9%
197
 
2.6%
영양읍 154
 
2.1%
수비면 147
 
2.0%
Other values (934) 3322
44.5%
2023-12-13T07:31:50.745649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6385
 
19.1%
1823
 
5.4%
1273
 
3.8%
1232
 
3.7%
1205
 
3.6%
1089
 
3.3%
1082
 
3.2%
1073
 
3.2%
1071
 
3.2%
1057
 
3.2%
Other values (133) 16193
48.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 19014
56.8%
Space Separator 6385
 
19.1%
Decimal Number 5279
 
15.8%
Open Punctuation 891
 
2.7%
Close Punctuation 891
 
2.7%
Dash Punctuation 581
 
1.7%
Other Punctuation 442
 
1.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1823
 
9.6%
1273
 
6.7%
1232
 
6.5%
1205
 
6.3%
1089
 
5.7%
1082
 
5.7%
1073
 
5.6%
1071
 
5.6%
1057
 
5.6%
917
 
4.8%
Other values (118) 7192
37.8%
Decimal Number
ValueCountFrequency (%)
1 1050
19.9%
2 765
14.5%
3 649
12.3%
4 489
9.3%
6 486
9.2%
9 434
8.2%
5 402
 
7.6%
0 375
 
7.1%
7 329
 
6.2%
8 300
 
5.7%
Space Separator
ValueCountFrequency (%)
6385
100.0%
Open Punctuation
ValueCountFrequency (%)
( 891
100.0%
Close Punctuation
ValueCountFrequency (%)
) 891
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 581
100.0%
Other Punctuation
ValueCountFrequency (%)
, 442
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 19014
56.8%
Common 14469
43.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1823
 
9.6%
1273
 
6.7%
1232
 
6.5%
1205
 
6.3%
1089
 
5.7%
1082
 
5.7%
1073
 
5.6%
1071
 
5.6%
1057
 
5.6%
917
 
4.8%
Other values (118) 7192
37.8%
Common
ValueCountFrequency (%)
6385
44.1%
1 1050
 
7.3%
( 891
 
6.2%
) 891
 
6.2%
2 765
 
5.3%
3 649
 
4.5%
- 581
 
4.0%
4 489
 
3.4%
6 486
 
3.4%
, 442
 
3.1%
Other values (5) 1840
 
12.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 19014
56.8%
ASCII 14469
43.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6385
44.1%
1 1050
 
7.3%
( 891
 
6.2%
) 891
 
6.2%
2 765
 
5.3%
3 649
 
4.5%
- 581
 
4.0%
4 489
 
3.4%
6 486
 
3.4%
, 442
 
3.1%
Other values (5) 1840
 
12.7%
Hangul
ValueCountFrequency (%)
1823
 
9.6%
1273
 
6.7%
1232
 
6.5%
1205
 
6.3%
1089
 
5.7%
1082
 
5.7%
1073
 
5.6%
1071
 
5.6%
1057
 
5.6%
917
 
4.8%
Other values (118) 7192
37.8%

설비용량
Real number (ℝ)

Distinct307
Distinct (%)28.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean239.28501
Minimum6
Maximum1419.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.6 KiB
2023-12-13T07:31:50.876079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile49.899
Q199
median99.45
Q3270.56
95-th percentile996.4635
Maximum1419.3
Range1413.3
Interquartile range (IQR)171.56

Descriptive statistics

Standard deviation277.13948
Coefficient of variation (CV)1.1581983
Kurtosis2.8265192
Mean239.28501
Median Absolute Deviation (MAD)1.17
Skewness1.9616677
Sum256513.53
Variance76806.292
MonotonicityNot monotonic
2023-12-13T07:31:51.013508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
99.0 116
 
10.8%
97.92 69
 
6.4%
99.36 61
 
5.7%
99.96 55
 
5.1%
99.2 37
 
3.5%
99.9 35
 
3.3%
99.45 31
 
2.9%
99.84 30
 
2.8%
99.23 24
 
2.2%
498.96 23
 
2.1%
Other values (297) 591
55.1%
ValueCountFrequency (%)
6.0 2
0.2%
8.12 1
0.1%
9.63 1
0.1%
12.0 1
0.1%
15.0 1
0.1%
15.3 1
0.1%
16.0 1
0.1%
17.2 1
0.1%
18.72 1
0.1%
18.9 1
0.1%
ValueCountFrequency (%)
1419.3 1
0.1%
1411.83 1
0.1%
1300.0 1
0.1%
1292.31 1
0.1%
1200.0 1
0.1%
1157.85 1
0.1%
1127.97 1
0.1%
1090.62 1
0.1%
1060.74 1
0.1%
1001.0 2
0.2%
Distinct272
Distinct (%)25.4%
Missing0
Missing (%)0.0%
Memory size8.5 KiB
Minimum2006-09-04 00:00:00
Maximum2023-05-24 00:00:00
2023-12-13T07:31:51.146264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:31:51.279209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size8.5 KiB
Minimum2023-07-04 00:00:00
Maximum2023-07-04 00:00:00
2023-12-13T07:31:51.375852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:31:51.456267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-13T07:31:49.283757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-12-13T07:31:49.407006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T07:31:49.498820image/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

발전소명발전소 주소설비용량발전사업 허가일데이터기준일자
0화매솔라7호태양광발전소경상북도 영양군 석보면 화매리 32번지(토지 위)99.192023-05-242023-07-04
1화매솔라5호태양광발전소경상북도 영양군 석보면 화매리 31, 32번지(토지 위)99.192023-05-242023-07-04
2온유2태양광발전소경상북도 영양군 석보면 지경리 229-51, 산52-84번지(토지 위)297.922023-05-032023-07-04
3온유1태양광발전소경상북도 영양군 석보면 지경리 229-6번지(토지 위)274.42023-05-032023-07-04
4금강3호태양에너지경상북도 영양군 수비면 발리리 227-2, 227-3번지(건물 위)99.122023-04-242023-07-04
5휴먼1태양광발전소경상북도 영양군 석보면 지경리 229-16, 229-59, 229-64번지(토지 위)754.62023-04-242023-07-04
6산들1호태양광발전소경상북도 영양군 일월면 용화리 88-3번지(토지 위)99.122023-04-242023-07-04
7산들2호태양광발전소경상북도 영양군 일월면 용화리 82-1, 85-1, 88-3번지(토지 위)318.62023-04-242023-07-04
8빛일곱태양광발전소경상북도 영양군 수비면 발리리 161번지(토지 위)49.982023-04-192023-07-04
9일월산3호태양광발전소경상북도 영양군 일월면 용화리 16번지(토지 위)99.122023-04-102023-07-04
발전소명발전소 주소설비용량발전사업 허가일데이터기준일자
1062일월태양광발전소경상북도 영양군 일월면 도계리 803번지76.52008-11-272023-07-04
1063챔피언태양광발전소경상북도 영양군 일월면 도계리 803번지 1호27.542008-11-272023-07-04
1064주식회사 퓨전솔라경상북도 영양군 영양읍 현리 산 129번지 외 산131,340993.62008-11-212023-07-04
1065(주)부경에너지경상북도 영양군 석보면 지경리 산 3-11001.02014-05-072023-07-04
1066주원솔라(주)영양태양광발전소경상북도 영양군 영양읍 화천리 799번지 2호198.722008-01-292023-07-04
1067주원솔라(주)수비태양광발전소경상북도 영양군 수비면 한티로 1179-8198.322008-01-292023-07-04
1068영양솔라파크경상북도 영양군 석보면 주남리 산 16번지1000.02007-08-272023-07-04
1069주남 태양광발전소경상북도 영양군 영양읍 동부리 470번지700.02007-01-232023-07-04
1070도곡태양광발전소경상북도 영양군 일월면 도곡리 산 203번지 1호1000.02006-09-042023-07-04
1071일월태양광발전소경상북도 영양군 일월면 도곡리 산 203번지1000.02006-09-042023-07-04