Overview

Dataset statistics

Number of variables13
Number of observations1054
Missing cells737
Missing cells (%)5.4%
Duplicate rows2
Duplicate rows (%)0.2%
Total size in memory110.3 KiB
Average record size in memory107.1 B

Variable types

Categorical5
Text3
Numeric3
DateTime2

Dataset

Description경기도 여주시의 태양광발전소 현황 데이터입니다. 용도, 세부용도, 사업상태, 발전소명, 소재지도로명주소, 소재지지번주소, 설비용량, 공급전압, 사업허가일자, 위도, 경도 등의 데이터를 제공합니다.
Author경기도 여주시
URLhttps://www.data.go.kr/data/15101010/fileData.do

Alerts

허가기관명 has constant value ""Constant
시군명 has constant value ""Constant
용도 has constant value ""Constant
세부용도 has constant value ""Constant
사업상태 has constant value ""Constant
데이터기준일자 has constant value ""Constant
Dataset has 2 (0.2%) duplicate rowsDuplicates
소재지도로명주소 has 732 (69.4%) missing valuesMissing

Reproduction

Analysis started2023-12-12 14:02:55.917626
Analysis finished2023-12-12 14:02:58.154249
Duration2.24 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

허가기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size8.4 KiB
경기도
1054 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경기도 1054
100.0%

Length

2023-12-12T23:02:58.226425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:02:58.341119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경기도 1054
100.0%

시군명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size8.4 KiB
여주시
1054 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
여주시 1054
100.0%

Length

2023-12-12T23:02:58.479071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:02:58.596971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
여주시 1054
100.0%

용도
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size8.4 KiB
전기사업용
1054 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
전기사업용 1054
100.0%

Length

2023-12-12T23:02:58.694232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:02:58.796150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전기사업용 1054
100.0%

세부용도
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size8.4 KiB
발전사업용
1054 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
발전사업용 1054
100.0%

Length

2023-12-12T23:02:58.897524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:02:59.014280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
발전사업용 1054
100.0%

사업상태
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size8.4 KiB
사업허가
1054 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사업허가 1054
100.0%

Length

2023-12-12T23:02:59.128101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:02:59.231100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사업허가 1054
100.0%

발전소명
Text

Distinct1020
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Memory size8.4 KiB
2023-12-12T23:02:59.431282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length39
Mean length10.300759
Min length4

Characters and Unicode

Total characters10857
Distinct characters390
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

Unique993 ?
Unique (%)94.2%

Sample

1st row㈜여주태양발전
2nd row북내 태양광발전소
3rd row트윈솔라 태양광발전소
4th row중앙 태양광발전소
5th row아리지컨트리클럽태양광 발전시설
ValueCountFrequency (%)
태양광발전소 713
35.2%
발전소 32
 
1.6%
태양광 21
 
1.0%
그린드림 18
 
0.9%
여주해뜸 16
 
0.8%
여주 12
 
0.6%
햇빛두레 11
 
0.5%
1호 11
 
0.5%
솔라에너지 11
 
0.5%
에너지 10
 
0.5%
Other values (1000) 1171
57.8%
2023-12-12T23:02:59.837800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
972
 
9.0%
전 886
 
8.2%
발 877
 
8.1%
소 873
 
8.0%
양 837
 
7.7%
태 829
 
7.6%
광 828
 
7.6%
호 367
 
3.4%
1 206
 
1.9%
지 165
 
1.5%
Other values (380) 4017
37.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9011
83.0%
Space Separator 972
 
9.0%
Decimal Number 597
 
5.5%
Other Punctuation 91
 
0.8%
Uppercase Letter 76
 
0.7%
Other Symbol 28
 
0.3%
Close Punctuation 26
 
0.2%
Open Punctuation 26
 
0.2%
Lowercase Letter 20
 
0.2%
Dash Punctuation 9
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 886
 
9.8%
발 877
 
9.7%
소 873
 
9.7%
양 837
 
9.3%
태 829
 
9.2%
광 828
 
9.2%
호 367
 
4.1%
지 165
 
1.8%
주 163
 
1.8%
에 163
 
1.8%
Other values (332) 3023
33.5%
Uppercase Letter
ValueCountFrequency (%)
J 14
18.4%
S 14
18.4%
Y 7
9.2%
M 7
9.2%
K 5
 
6.6%
C 4
 
5.3%
E 3
 
3.9%
I 3
 
3.9%
G 3
 
3.9%
H 3
 
3.9%
Other values (8) 13
17.1%
Lowercase Letter
ValueCountFrequency (%)
y 3
15.0%
n 3
15.0%
r 3
15.0%
o 2
10.0%
e 2
10.0%
u 1
 
5.0%
c 1
 
5.0%
g 1
 
5.0%
j 1
 
5.0%
s 1
 
5.0%
Other values (2) 2
10.0%
Decimal Number
ValueCountFrequency (%)
1 206
34.5%
2 138
23.1%
3 69
 
11.6%
4 45
 
7.5%
0 29
 
4.9%
5 28
 
4.7%
6 24
 
4.0%
7 23
 
3.9%
9 19
 
3.2%
8 16
 
2.7%
Other Punctuation
ValueCountFrequency (%)
* 79
86.8%
. 12
 
13.2%
Space Separator
ValueCountFrequency (%)
972
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 28
100.0%
Close Punctuation
ValueCountFrequency (%)
) 26
100.0%
Open Punctuation
ValueCountFrequency (%)
( 26
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9039
83.3%
Common 1722
 
15.9%
Latin 96
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 886
 
9.8%
발 877
 
9.7%
소 873
 
9.7%
양 837
 
9.3%
태 829
 
9.2%
광 828
 
9.2%
호 367
 
4.1%
지 165
 
1.8%
주 163
 
1.8%
에 163
 
1.8%
Other values (333) 3051
33.8%
Latin
ValueCountFrequency (%)
J 14
14.6%
S 14
14.6%
Y 7
 
7.3%
M 7
 
7.3%
K 5
 
5.2%
C 4
 
4.2%
y 3
 
3.1%
n 3
 
3.1%
E 3
 
3.1%
r 3
 
3.1%
Other values (20) 33
34.4%
Common
ValueCountFrequency (%)
972
56.4%
1 206
 
12.0%
2 138
 
8.0%
* 79
 
4.6%
3 69
 
4.0%
4 45
 
2.6%
0 29
 
1.7%
5 28
 
1.6%
) 26
 
1.5%
( 26
 
1.5%
Other values (7) 104
 
6.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9011
83.0%
ASCII 1818
 
16.7%
None 28
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
972
53.5%
1 206
 
11.3%
2 138
 
7.6%
* 79
 
4.3%
3 69
 
3.8%
4 45
 
2.5%
0 29
 
1.6%
5 28
 
1.5%
) 26
 
1.4%
( 26
 
1.4%
Other values (37) 200
 
11.0%
Hangul
ValueCountFrequency (%)
전 886
 
9.8%
발 877
 
9.7%
소 873
 
9.7%
양 837
 
9.3%
태 829
 
9.2%
광 828
 
9.2%
호 367
 
4.1%
지 165
 
1.8%
주 163
 
1.8%
에 163
 
1.8%
Other values (332) 3023
33.5%
None
ValueCountFrequency (%)
㈜ 28
100.0%

소재지도로명주소
Text

MISSING 

Distinct228
Distinct (%)70.8%
Missing732
Missing (%)69.4%
Memory size8.4 KiB
2023-12-12T23:03:00.235128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length23
Mean length20.307453
Min length14

Characters and Unicode

Total characters6539
Distinct characters149
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

Unique178 ?
Unique (%)55.3%

Sample

1st row경기도 여주시 가남읍 아리지그린길 68
2nd row경기도 여주시 가남읍 송삼로 79-7
3rd row경기도 여주시 강천면 간매2길 21
4th row경기도 여주시 세종로 151
5th row경기도 여주시 북내면 장암1길 30
ValueCountFrequency (%)
경기도 322
20.5%
여주시 322
20.5%
가남읍 60
 
3.8%
대신면 59
 
3.8%
흥천면 46
 
2.9%
능서면 39
 
2.5%
북내면 27
 
1.7%
강천면 20
 
1.3%
점동면 15
 
1.0%
금대울로 12
 
0.8%
Other values (345) 649
41.3%
2023-12-12T23:03:00.708337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1249
19.1%
여 374
 
5.7%
주 334
 
5.1%
경 326
 
5.0%
기 326
 
5.0%
도 325
 
5.0%
시 322
 
4.9%
1 280
 
4.3%
면 223
 
3.4%
2 200
 
3.1%
Other values (139) 2580
39.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3835
58.6%
Decimal Number 1282
 
19.6%
Space Separator 1249
 
19.1%
Dash Punctuation 173
 
2.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
여 374
 
9.8%
주 334
 
8.7%
경 326
 
8.5%
기 326
 
8.5%
도 325
 
8.5%
시 322
 
8.4%
면 223
 
5.8%
로 177
 
4.6%
길 147
 
3.8%
대 105
 
2.7%
Other values (127) 1176
30.7%
Decimal Number
ValueCountFrequency (%)
1 280
21.8%
2 200
15.6%
3 147
11.5%
7 115
9.0%
4 112
 
8.7%
5 107
 
8.3%
9 96
 
7.5%
0 86
 
6.7%
8 75
 
5.9%
6 64
 
5.0%
Space Separator
ValueCountFrequency (%)
1249
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 173
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3835
58.6%
Common 2704
41.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
여 374
 
9.8%
주 334
 
8.7%
경 326
 
8.5%
기 326
 
8.5%
도 325
 
8.5%
시 322
 
8.4%
면 223
 
5.8%
로 177
 
4.6%
길 147
 
3.8%
대 105
 
2.7%
Other values (127) 1176
30.7%
Common
ValueCountFrequency (%)
1249
46.2%
1 280
 
10.4%
2 200
 
7.4%
- 173
 
6.4%
3 147
 
5.4%
7 115
 
4.3%
4 112
 
4.1%
5 107
 
4.0%
9 96
 
3.6%
0 86
 
3.2%
Other values (2) 139
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3835
58.6%
ASCII 2704
41.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1249
46.2%
1 280
 
10.4%
2 200
 
7.4%
- 173
 
6.4%
3 147
 
5.4%
7 115
 
4.3%
4 112
 
4.1%
5 107
 
4.0%
9 96
 
3.6%
0 86
 
3.2%
Other values (2) 139
 
5.1%
Hangul
ValueCountFrequency (%)
여 374
 
9.8%
주 334
 
8.7%
경 326
 
8.5%
기 326
 
8.5%
도 325
 
8.5%
시 322
 
8.4%
면 223
 
5.8%
로 177
 
4.6%
길 147
 
3.8%
대 105
 
2.7%
Other values (127) 1176
30.7%

소재지지번주소
Text

Distinct516
Distinct (%)49.0%
Missing0
Missing (%)0.0%
Memory size8.4 KiB
2023-12-12T23:03:01.049389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length23
Mean length20.937381
Min length13

Characters and Unicode

Total characters22068
Distinct characters135
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

Unique369 ?
Unique (%)35.0%

Sample

1st row경기도 여주시 흥천면 복대리 60-16
2nd row경기도 여주시 북내면 지내리 452-1
3rd row경기도 여주시 흥천면 복대리 60-13
4th row경기도 여주시 능서면 내양리 346-63
5th row경기도 여주시 가남읍 양귀리 산 17-10
ValueCountFrequency (%)
경기도 1054
19.8%
여주시 1054
19.8%
대신면 305
 
5.7%
가남읍 195
 
3.7%
북내면 134
 
2.5%
강천면 133
 
2.5%
산 105
 
2.0%
흥천면 76
 
1.4%
능서면 75
 
1.4%
하림리 65
 
1.2%
Other values (624) 2120
39.9%
2023-12-12T23:03:01.489130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5016
22.7%
도 1075
 
4.9%
주 1057
 
4.8%
경 1054
 
4.8%
기 1054
 
4.8%
여 1054
 
4.8%
시 1054
 
4.8%
리 995
 
4.5%
1 821
 
3.7%
면 800
 
3.6%
Other values (125) 8088
36.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12548
56.9%
Space Separator 5016
 
22.7%
Decimal Number 3728
 
16.9%
Dash Punctuation 776
 
3.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 1075
 
8.6%
주 1057
 
8.4%
경 1054
 
8.4%
기 1054
 
8.4%
여 1054
 
8.4%
시 1054
 
8.4%
리 995
 
7.9%
면 800
 
6.4%
신 394
 
3.1%
대 376
 
3.0%
Other values (113) 3635
29.0%
Decimal Number
ValueCountFrequency (%)
1 821
22.0%
2 549
14.7%
3 434
11.6%
4 404
10.8%
5 377
10.1%
8 240
 
6.4%
7 238
 
6.4%
6 232
 
6.2%
9 225
 
6.0%
0 208
 
5.6%
Space Separator
ValueCountFrequency (%)
5016
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 776
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12548
56.9%
Common 9520
43.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 1075
 
8.6%
주 1057
 
8.4%
경 1054
 
8.4%
기 1054
 
8.4%
여 1054
 
8.4%
시 1054
 
8.4%
리 995
 
7.9%
면 800
 
6.4%
신 394
 
3.1%
대 376
 
3.0%
Other values (113) 3635
29.0%
Common
ValueCountFrequency (%)
5016
52.7%
1 821
 
8.6%
- 776
 
8.2%
2 549
 
5.8%
3 434
 
4.6%
4 404
 
4.2%
5 377
 
4.0%
8 240
 
2.5%
7 238
 
2.5%
6 232
 
2.4%
Other values (2) 433
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12548
56.9%
ASCII 9520
43.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5016
52.7%
1 821
 
8.6%
- 776
 
8.2%
2 549
 
5.8%
3 434
 
4.6%
4 404
 
4.2%
5 377
 
4.0%
8 240
 
2.5%
7 238
 
2.5%
6 232
 
2.4%
Other values (2) 433
 
4.5%
Hangul
ValueCountFrequency (%)
도 1075
 
8.6%
주 1057
 
8.4%
경 1054
 
8.4%
기 1054
 
8.4%
여 1054
 
8.4%
시 1054
 
8.4%
리 995
 
7.9%
면 800
 
6.4%
신 394
 
3.1%
대 376
 
3.0%
Other values (113) 3635
29.0%

설비용량
Real number (ℝ)

Distinct293
Distinct (%)27.9%
Missing5
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean133.80028
Minimum9
Maximum999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.4 KiB
2023-12-12T23:03:01.911268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile19.712
Q197.2
median99
Q399.6
95-th percentile498.42
Maximum999
Range990
Interquartile range (IQR)2.4

Descriptive statistics

Standard deviation140.07341
Coefficient of variation (CV)1.0468843
Kurtosis11.291267
Mean133.80028
Median Absolute Deviation (MAD)0.9
Skewness3.0866681
Sum140356.49
Variance19620.561
MonotonicityNot monotonic
2023-12-12T23:03:02.138067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
99.0 161
 
15.3%
99.4 61
 
5.8%
97.92 48
 
4.6%
99.28 48
 
4.6%
99.84 34
 
3.2%
99.36 33
 
3.1%
98.28 27
 
2.6%
98.8 26
 
2.5%
99.2 24
 
2.3%
97.2 21
 
2.0%
Other values (283) 566
53.7%
ValueCountFrequency (%)
9.0 1
 
0.1%
10.23 1
 
0.1%
10.8 1
 
0.1%
11.6 1
 
0.1%
11.7 2
0.2%
11.97 1
 
0.1%
12.0 3
0.3%
12.375 1
 
0.1%
13.44 1
 
0.1%
14.7 1
 
0.1%
ValueCountFrequency (%)
999.0 3
0.3%
998.4 1
 
0.1%
994.8 1
 
0.1%
911.7 4
0.4%
720.0 1
 
0.1%
509.38 1
 
0.1%
500.0 4
0.4%
499.8 6
0.6%
499.5 3
0.3%
499.32 1
 
0.1%

사업허가일자
Date

Distinct308
Distinct (%)29.2%
Missing0
Missing (%)0.0%
Memory size8.4 KiB
Minimum2005-07-21 00:00:00
Maximum2022-06-02 00:00:00
2023-12-12T23:03:02.314626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:03:02.474048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

위도
Real number (ℝ)

Distinct514
Distinct (%)48.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.308588
Minimum37.146728
Maximum37.432908
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.4 KiB
2023-12-12T23:03:02.628860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.146728
5-th percentile37.186915
Q137.246317
median37.326716
Q337.369242
95-th percentile37.400182
Maximum37.432908
Range0.28618034
Interquartile range (IQR)0.12292497

Descriptive statistics

Standard deviation0.069844749
Coefficient of variation (CV)0.0018720824
Kurtosis-1.1620323
Mean37.308588
Median Absolute Deviation (MAD)0.04966104
Skewness-0.40771522
Sum39323.251
Variance0.0048782889
MonotonicityNot monotonic
2023-12-12T23:03:02.785544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.37013493 24
 
2.3%
37.36069764 22
 
2.1%
37.19899261 21
 
2.0%
37.36859828 21
 
2.0%
37.29247476 21
 
2.0%
37.37020378 20
 
1.9%
37.23241913 18
 
1.7%
37.30421583 17
 
1.6%
37.38903417 17
 
1.6%
37.38275473 16
 
1.5%
Other values (504) 857
81.3%
ValueCountFrequency (%)
37.14672787 1
0.1%
37.14707175 1
0.1%
37.15622015 1
0.1%
37.15668903 1
0.1%
37.16354565 1
0.1%
37.16641408 1
0.1%
37.16972259 2
0.2%
37.1699195 1
0.1%
37.17301497 1
0.1%
37.17313729 1
0.1%
ValueCountFrequency (%)
37.43290821 1
 
0.1%
37.4124202 1
 
0.1%
37.41224374 1
 
0.1%
37.41211198 1
 
0.1%
37.41183332 1
 
0.1%
37.40976571 1
 
0.1%
37.40958489 2
 
0.2%
37.40858053 3
0.3%
37.40838996 4
0.4%
37.40626779 7
0.7%

경도
Real number (ℝ)

Distinct516
Distinct (%)49.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.62647
Minimum127.44222
Maximum127.76771
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.4 KiB
2023-12-12T23:03:02.984338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.44222
5-th percentile127.53168
Q1127.58303
median127.62926
Q3127.6727
95-th percentile127.72443
Maximum127.76771
Range0.3254902
Interquartile range (IQR)0.089672125

Descriptive statistics

Standard deviation0.061048031
Coefficient of variation (CV)0.00047833362
Kurtosis-0.4670488
Mean127.62647
Median Absolute Deviation (MAD)0.0462291
Skewness-0.27049257
Sum134518.3
Variance0.0037268621
MonotonicityNot monotonic
2023-12-12T23:03:03.153590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.7113762 24
 
2.3%
127.6838115 22
 
2.1%
127.6269978 21
 
2.0%
127.6185236 21
 
2.0%
127.6873127 21
 
2.0%
127.6429986 20
 
1.9%
127.5401471 18
 
1.7%
127.703228 17
 
1.6%
127.6196076 17
 
1.6%
127.6337522 16
 
1.5%
Other values (506) 857
81.3%
ValueCountFrequency (%)
127.4422191 2
0.2%
127.4443572 2
0.2%
127.4456481 1
0.1%
127.4466214 1
0.1%
127.4504754 2
0.2%
127.4525972 1
0.1%
127.4874116 2
0.2%
127.488317 1
0.1%
127.488838 1
0.1%
127.489514 1
0.1%
ValueCountFrequency (%)
127.7677093 2
0.2%
127.7584815 1
 
0.1%
127.7471035 2
0.2%
127.7458615 2
0.2%
127.7455014 1
 
0.1%
127.7415452 1
 
0.1%
127.7353643 1
 
0.1%
127.7281575 3
0.3%
127.7264498 1
 
0.1%
127.7262321 2
0.2%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size8.4 KiB
Minimum2022-06-07 00:00:00
Maximum2022-06-07 00:00:00
2023-12-12T23:03:03.276787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:03:03.360259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T23:02:57.310882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:02:56.578336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:02:56.957386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:02:57.440861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:02:56.700472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:02:57.076167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:02:57.568421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:02:56.814681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:02:57.196099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T23:03:03.441764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설비용량위도경도
설비용량1.0000.2140.105
위도0.2141.0000.653
경도0.1050.6531.000
2023-12-12T23:03:03.542207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설비용량위도경도
설비용량1.0000.035-0.035
위도0.0351.000-0.017
경도-0.035-0.0171.000

Missing values

2023-12-12T23:02:57.755307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T23:02:57.963801image/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.
2023-12-12T23:02:58.090259image/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

허가기관명시군명용도세부용도사업상태발전소명소재지도로명주소소재지지번주소설비용량사업허가일자위도경도데이터기준일자
0경기도여주시전기사업용발전사업용사업허가㈜여주태양발전<NA>경기도 여주시 흥천면 복대리 60-16100.02005-07-2137.359553127.5385512022-06-07
1경기도여주시전기사업용발전사업용사업허가북내 태양광발전소<NA>경기도 여주시 북내면 지내리 452-140.02007-02-2737.315881127.688312022-06-07
2경기도여주시전기사업용발전사업용사업허가트윈솔라 태양광발전소<NA>경기도 여주시 흥천면 복대리 60-13200.02007-05-0837.359488127.5389362022-06-07
3경기도여주시전기사업용발전사업용사업허가중앙 태양광발전소<NA>경기도 여주시 능서면 내양리 346-6329.42008-08-0437.336209127.580982022-06-07
4경기도여주시전기사업용발전사업용사업허가아리지컨트리클럽태양광 발전시설경기도 여주시 가남읍 아리지그린길 68경기도 여주시 가남읍 양귀리 산 17-10200.02009-01-2037.211604127.6022182022-06-07
5경기도여주시전기사업용발전사업용사업허가삼승리 태양광발전소경기도 여주시 가남읍 송삼로 79-7경기도 여주시 가남읍 삼승리 137-598.282009-02-1337.169919127.6326692022-06-07
6경기도여주시전기사업용발전사업용사업허가삼승리 태양광발전소 2호<NA>경기도 여주시 가남읍 삼승리 137-198.282009-02-1337.169723127.6322312022-06-07
7경기도여주시전기사업용발전사업용사업허가평화 태양광발전소<NA>경기도 여주시 대신면 장풍리 132-1396.42011-04-2037.388927127.625112022-06-07
8경기도여주시전기사업용발전사업용사업허가강천 태양광발전소경기도 여주시 강천면 간매2길 21경기도 여주시 강천면 간매리 300-2029.752012-08-2237.270854127.7168012022-06-07
9경기도여주시전기사업용발전사업용사업허가이마트 여주 태양광발전소경기도 여주시 세종로 151경기도 여주시 홍문동 408-299.282012-09-0337.284258127.6356662022-06-07
허가기관명시군명용도세부용도사업상태발전소명소재지도로명주소소재지지번주소설비용량사업허가일자위도경도데이터기준일자
1044경기도여주시전기사업용발전사업용사업허가구양리 햇빛두레 태양광발전소(5)경기도 여주시 능서면 능서로 253경기도 여주시 능서면 구양리 27120.162022-05-1037.31761127.5854042022-06-07
1045경기도여주시전기사업용발전사업용사업허가구양리 햇빛두레 태양광발전소(6)경기도 여주시 능서면 구양2길 7경기도 여주시 능서면 구양리 297-334.562022-05-1037.316914127.5842012022-06-07
1046경기도여주시전기사업용발전사업용사업허가구양리 햇빛두레 태양광발전소(7)경기도 여주시 능서면 구양1길 15경기도 여주시 능서면 구양리 239-184.02022-05-1037.314894127.5858112022-06-07
1047경기도여주시전기사업용발전사업용사업허가해유1호 태양광발전소경기도 여주시 평장길 102-23경기도 여주시 현암동 29-180.642022-05-1237.325073127.6421132022-06-07
1048경기도여주시전기사업용발전사업용사업허가여주S 태양광발전소경기도 여주시 북내면 여양3로 77-20경기도 여주시 북내면 서원리 21229.22022-05-1937.397339127.6900822022-06-07
1049경기도여주시전기사업용발전사업용사업허가원희 태양광발전소경기도 여주시 대신면 송촌2길 116-20경기도 여주시 대신면 송촌리 261-211.62022-06-0237.402831127.571112022-06-07
1050경기도여주시전기사업용발전사업용사업허가에벤에셀 태양광발전소경기도 여주시 가남읍 연삼로 275경기도 여주시 가남읍 삼승리 415-398.282022-06-0237.178156127.6186122022-06-07
1051경기도여주시전기사업용발전사업용사업허가해들 태양광발전소<NA>경기도 여주시 대신면 송촌리 192-299.912022-06-0237.399374127.5808232022-06-07
1052경기도여주시전기사업용발전사업용사업허가해광 태양광발전소<NA>경기도 여주시 대신면 송촌리 192-299.912022-06-0237.399374127.5808232022-06-07
1053경기도여주시전기사업용발전사업용사업허가해밀 태양광발전소<NA>경기도 여주시 대신면 송촌리 192-299.912022-06-0237.399374127.5808232022-06-07

Duplicate rows

Most frequently occurring

허가기관명시군명용도세부용도사업상태발전소명소재지도로명주소소재지지번주소설비용량사업허가일자위도경도데이터기준일자# duplicates
1경기도여주시전기사업용발전사업용사업허가이**에너지<NA>경기도 여주시 강천면 강천리 53-3629.882018-08-2737.247727127.725872022-06-074
0경기도여주시전기사업용발전사업용사업허가송** 태양광발전소<NA>경기도 여주시 대신면 하림리 279-2899.2252016-10-2537.367191127.6447082022-06-072