Overview

Dataset statistics

Number of variables11
Number of observations49
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.5 KiB
Average record size in memory93.7 B

Variable types

Numeric2
DateTime1
Text4
Categorical4

Dataset

Description광주광역시 남구의 태양광발전소 설치 현황(발전소명, 허가일자, 사업개시일자, 설비허가용량,발전소주소 등)의 정보를 제공합니다.
Author광주광역시 남구
URLhttps://www.data.go.kr/data/15034127/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
용량 is highly overall correlated with 공급전압 and 2 other fieldsHigh correlation
공급전압 is highly overall correlated with 용량High correlation
지목 is highly overall correlated with 용량High correlation
설치위치 is highly overall correlated with 용량High correlation
공급전압 is highly imbalanced (65.4%)Imbalance
설치위치 is highly imbalanced (64.2%)Imbalance
순번 has unique valuesUnique
상호 has unique valuesUnique
소재지 has unique valuesUnique

Reproduction

Analysis started2023-12-12 17:49:54.734379
Analysis finished2023-12-12 17:49:55.992727
Duration1.26 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25
Minimum1
Maximum49
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-13T02:49:56.076262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.4
Q113
median25
Q337
95-th percentile46.6
Maximum49
Range48
Interquartile range (IQR)24

Descriptive statistics

Standard deviation14.28869
Coefficient of variation (CV)0.57154761
Kurtosis-1.2
Mean25
Median Absolute Deviation (MAD)12
Skewness0
Sum1225
Variance204.16667
MonotonicityStrictly increasing
2023-12-13T02:49:56.238954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
1 1
 
2.0%
38 1
 
2.0%
28 1
 
2.0%
29 1
 
2.0%
30 1
 
2.0%
31 1
 
2.0%
32 1
 
2.0%
33 1
 
2.0%
34 1
 
2.0%
35 1
 
2.0%
Other values (39) 39
79.6%
ValueCountFrequency (%)
1 1
2.0%
2 1
2.0%
3 1
2.0%
4 1
2.0%
5 1
2.0%
6 1
2.0%
7 1
2.0%
8 1
2.0%
9 1
2.0%
10 1
2.0%
ValueCountFrequency (%)
49 1
2.0%
48 1
2.0%
47 1
2.0%
46 1
2.0%
45 1
2.0%
44 1
2.0%
43 1
2.0%
42 1
2.0%
41 1
2.0%
40 1
2.0%

허가일자
Date

Distinct43
Distinct (%)87.8%
Missing0
Missing (%)0.0%
Memory size524.0 B
Minimum2011-08-16 00:00:00
Maximum2022-02-28 00:00:00
2023-12-13T02:49:56.398208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:49:56.567849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)

사업개시일자
Text

Distinct45
Distinct (%)91.8%
Missing0
Missing (%)0.0%
Memory size524.0 B
2023-12-13T02:49:56.833230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length9.8979592
Min length5

Characters and Unicode

Total characters485
Distinct characters16
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique42 ?
Unique (%)85.7%

Sample

1st row2013-01-10
2nd row2012-08-29
3rd row2013-03-05
4th row2013-10-17
5th row2013-09-17
ValueCountFrequency (%)
2015-01-14 3
 
6.1%
2015-01-13 2
 
4.1%
2020-11-19 2
 
4.1%
2022-01-11 1
 
2.0%
2021-09-13 1
 
2.0%
2019-11-06 1
 
2.0%
2013-01-10 1
 
2.0%
2020-04-27 1
 
2.0%
2018-10-26 1
 
2.0%
2018-07-12 1
 
2.0%
Other values (35) 35
71.4%
2023-12-13T02:49:57.290866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 105
21.6%
1 103
21.2%
- 96
19.8%
2 80
16.5%
3 19
 
3.9%
5 17
 
3.5%
7 16
 
3.3%
4 12
 
2.5%
9 12
 
2.5%
8 10
 
2.1%
Other values (6) 15
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 384
79.2%
Dash Punctuation 96
 
19.8%
Other Letter 5
 
1.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 105
27.3%
1 103
26.8%
2 80
20.8%
3 19
 
4.9%
5 17
 
4.4%
7 16
 
4.2%
4 12
 
3.1%
9 12
 
3.1%
8 10
 
2.6%
6 10
 
2.6%
Other Letter
ValueCountFrequency (%)
사 1
20.0%
업 1
20.0%
준 1
20.0%
비 1
20.0%
중 1
20.0%
Dash Punctuation
ValueCountFrequency (%)
- 96
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 480
99.0%
Hangul 5
 
1.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 105
21.9%
1 103
21.5%
- 96
20.0%
2 80
16.7%
3 19
 
4.0%
5 17
 
3.5%
7 16
 
3.3%
4 12
 
2.5%
9 12
 
2.5%
8 10
 
2.1%
Hangul
ValueCountFrequency (%)
사 1
20.0%
업 1
20.0%
준 1
20.0%
비 1
20.0%
중 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 480
99.0%
Hangul 5
 
1.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 105
21.9%
1 103
21.5%
- 96
20.0%
2 80
16.7%
3 19
 
4.0%
5 17
 
3.5%
7 16
 
3.3%
4 12
 
2.5%
9 12
 
2.5%
8 10
 
2.1%
Hangul
ValueCountFrequency (%)
사 1
20.0%
업 1
20.0%
준 1
20.0%
비 1
20.0%
중 1
20.0%

상호
Text

UNIQUE 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size524.0 B
2023-12-13T02:49:57.569680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length19
Mean length10.795918
Min length5

Characters and Unicode

Total characters529
Distinct characters119
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique49 ?
Unique (%)100.0%

Sample

1st row진도 태양광발전소
2nd row방림 태양광발전소
3rd row시민 태양광발전소
4th row광주위생매립장탄소중립 태양광발전소
5th row금성 태양광발전소
ValueCountFrequency (%)
태양광발전소 45
45.5%
빛고을햇빛 2
 
2.0%
와이케이 1
 
1.0%
대승에너지 1
 
1.0%
햇빛모아태양광발전소 1
 
1.0%
이천2 1
 
1.0%
썬그린 1
 
1.0%
해품절 1
 
1.0%
진제태양광발전소 1
 
1.0%
우성상사 1
 
1.0%
Other values (44) 44
44.4%
2023-12-13T02:49:58.390784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
50
 
9.5%
광 50
 
9.5%
소 49
 
9.3%
태 48
 
9.1%
양 48
 
9.1%
발 48
 
9.1%
전 48
 
9.1%
이 6
 
1.1%
은 6
 
1.1%
빛 6
 
1.1%
Other values (109) 170
32.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 460
87.0%
Space Separator 50
 
9.5%
Decimal Number 10
 
1.9%
Uppercase Letter 4
 
0.8%
Close Punctuation 2
 
0.4%
Open Punctuation 2
 
0.4%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 50
 
10.9%
소 49
 
10.7%
태 48
 
10.4%
양 48
 
10.4%
발 48
 
10.4%
전 48
 
10.4%
이 6
 
1.3%
은 6
 
1.3%
빛 6
 
1.3%
주 5
 
1.1%
Other values (96) 146
31.7%
Decimal Number
ValueCountFrequency (%)
1 4
40.0%
2 3
30.0%
5 1
 
10.0%
4 1
 
10.0%
3 1
 
10.0%
Uppercase Letter
ValueCountFrequency (%)
J 1
25.0%
H 1
25.0%
N 1
25.0%
S 1
25.0%
Space Separator
ValueCountFrequency (%)
50
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 460
87.0%
Common 65
 
12.3%
Latin 4
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 50
 
10.9%
소 49
 
10.7%
태 48
 
10.4%
양 48
 
10.4%
발 48
 
10.4%
전 48
 
10.4%
이 6
 
1.3%
은 6
 
1.3%
빛 6
 
1.3%
주 5
 
1.1%
Other values (96) 146
31.7%
Common
ValueCountFrequency (%)
50
76.9%
1 4
 
6.2%
2 3
 
4.6%
) 2
 
3.1%
( 2
 
3.1%
& 1
 
1.5%
5 1
 
1.5%
4 1
 
1.5%
3 1
 
1.5%
Latin
ValueCountFrequency (%)
J 1
25.0%
H 1
25.0%
N 1
25.0%
S 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 460
87.0%
ASCII 69
 
13.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
50
72.5%
1 4
 
5.8%
2 3
 
4.3%
) 2
 
2.9%
( 2
 
2.9%
& 1
 
1.4%
5 1
 
1.4%
J 1
 
1.4%
4 1
 
1.4%
3 1
 
1.4%
Other values (3) 3
 
4.3%
Hangul
ValueCountFrequency (%)
광 50
 
10.9%
소 49
 
10.7%
태 48
 
10.4%
양 48
 
10.4%
발 48
 
10.4%
전 48
 
10.4%
이 6
 
1.3%
은 6
 
1.3%
빛 6
 
1.3%
주 5
 
1.1%
Other values (96) 146
31.7%

소재지
Text

UNIQUE 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size524.0 B
2023-12-13T02:49:58.758036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length27
Mean length21.204082
Min length15

Characters and Unicode

Total characters1039
Distinct characters74
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

Unique49 ?
Unique (%)100.0%

Sample

1st row광주광역시 남구 지석동 411-30
2nd row광주광역시 남구 봉선중앙로 118번길 33-4
3rd row광주광역시 남구 지동2길 6
4th row광주광역시 남구 도동길 160
5th row광주광역시 남구 주월동 1257-4 외 1필지
ValueCountFrequency (%)
광주광역시 49
21.7%
남구 49
21.7%
송하동 7
 
3.1%
산 4
 
1.8%
진월동 4
 
1.8%
백운동 3
 
1.3%
지석동 3
 
1.3%
외 2
 
0.9%
승촌동 2
 
0.9%
월성동 2
 
0.9%
Other values (96) 101
44.7%
2023-12-13T02:49:59.292904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
177
17.0%
광 99
 
9.5%
주 52
 
5.0%
남 51
 
4.9%
시 50
 
4.8%
구 50
 
4.8%
역 49
 
4.7%
1 46
 
4.4%
동 45
 
4.3%
- 35
 
3.4%
Other values (64) 385
37.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 562
54.1%
Decimal Number 230
22.1%
Space Separator 177
 
17.0%
Dash Punctuation 35
 
3.4%
Other Punctuation 11
 
1.1%
Open Punctuation 10
 
1.0%
Close Punctuation 10
 
1.0%
Uppercase Letter 4
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 99
17.6%
주 52
9.3%
남 51
9.1%
시 50
 
8.9%
구 50
 
8.9%
역 49
 
8.7%
동 45
 
8.0%
길 14
 
2.5%
로 14
 
2.5%
월 13
 
2.3%
Other values (45) 125
22.2%
Decimal Number
ValueCountFrequency (%)
1 46
20.0%
3 27
11.7%
2 27
11.7%
0 23
10.0%
7 22
9.6%
6 20
8.7%
4 19
8.3%
5 17
 
7.4%
8 17
 
7.4%
9 12
 
5.2%
Uppercase Letter
ValueCountFrequency (%)
D 1
25.0%
C 1
25.0%
B 1
25.0%
A 1
25.0%
Space Separator
ValueCountFrequency (%)
177
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 35
100.0%
Other Punctuation
ValueCountFrequency (%)
, 11
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 562
54.1%
Common 473
45.5%
Latin 4
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 99
17.6%
주 52
9.3%
남 51
9.1%
시 50
 
8.9%
구 50
 
8.9%
역 49
 
8.7%
동 45
 
8.0%
길 14
 
2.5%
로 14
 
2.5%
월 13
 
2.3%
Other values (45) 125
22.2%
Common
ValueCountFrequency (%)
177
37.4%
1 46
 
9.7%
- 35
 
7.4%
3 27
 
5.7%
2 27
 
5.7%
0 23
 
4.9%
7 22
 
4.7%
6 20
 
4.2%
4 19
 
4.0%
5 17
 
3.6%
Other values (5) 60
 
12.7%
Latin
ValueCountFrequency (%)
D 1
25.0%
C 1
25.0%
B 1
25.0%
A 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 562
54.1%
ASCII 477
45.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
177
37.1%
1 46
 
9.6%
- 35
 
7.3%
3 27
 
5.7%
2 27
 
5.7%
0 23
 
4.8%
7 22
 
4.6%
6 20
 
4.2%
4 19
 
4.0%
5 17
 
3.6%
Other values (9) 64
 
13.4%
Hangul
ValueCountFrequency (%)
광 99
17.6%
주 52
9.3%
남 51
9.1%
시 50
 
8.9%
구 50
 
8.9%
역 49
 
8.7%
동 45
 
8.0%
길 14
 
2.5%
로 14
 
2.5%
월 13
 
2.3%
Other values (45) 125
22.2%

용량
Real number (ℝ)

HIGH CORRELATION 

Distinct42
Distinct (%)85.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean130.41827
Minimum9
Maximum2587.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-13T02:49:59.516295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile12.096
Q119.8
median29.625
Q395.2
95-th percentile357.12
Maximum2587.5
Range2578.5
Interquartile range (IQR)75.4

Descriptive statistics

Standard deviation378.47024
Coefficient of variation (CV)2.9019726
Kurtosis38.870882
Mean130.41827
Median Absolute Deviation (MAD)14.865
Skewness6.0101541
Sum6390.495
Variance143239.72
MonotonicityNot monotonic
2023-12-13T02:49:59.672079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
95.2 4
 
8.2%
19.8 4
 
8.2%
19.84 2
 
4.1%
27.0 1
 
2.0%
19.5 1
 
2.0%
99.72 1
 
2.0%
83.22 1
 
2.0%
221.92 1
 
2.0%
19.89 1
 
2.0%
352.8 1
 
2.0%
Other values (32) 32
65.3%
ValueCountFrequency (%)
9.0 1
2.0%
10.24 1
2.0%
12.0 1
2.0%
12.24 1
2.0%
14.76 1
2.0%
15.0 1
2.0%
15.18 1
2.0%
19.2 1
2.0%
19.38 1
2.0%
19.5 1
2.0%
ValueCountFrequency (%)
2587.5 1
2.0%
695.02 1
2.0%
360.0 1
2.0%
352.8 1
2.0%
280.8 1
2.0%
221.92 1
2.0%
198.4 1
2.0%
99.72 1
2.0%
99.0 1
2.0%
98.84 1
2.0%

공급전압
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size524.0 B
380
44 
22900
 
4
220
 
1

Length

Max length5
Median length3
Mean length3.1632653
Min length3

Unique

Unique1 ?
Unique (%)2.0%

Sample

1st row380
2nd row220
3rd row380
4th row22900
5th row380

Common Values

ValueCountFrequency (%)
380 44
89.8%
22900 4
 
8.2%
220 1
 
2.0%

Length

2023-12-13T02:49:59.865377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:50:00.006536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
380 44
89.8%
22900 4
 
8.2%
220 1
 
2.0%

설치면적
Text

Distinct46
Distinct (%)93.9%
Missing0
Missing (%)0.0%
Memory size524.0 B
2023-12-13T02:50:00.224114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length3
Mean length4.1632653
Min length3

Characters and Unicode

Total characters204
Distinct characters12
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

Unique44 ?
Unique (%)89.8%

Sample

1st row300
2nd row125
3rd row200
4th row2,000
5th row350
ValueCountFrequency (%)
630 3
 
6.1%
125 2
 
4.1%
1209.92 1
 
2.0%
62.1 1
 
2.0%
142 1
 
2.0%
73.491 1
 
2.0%
576.86 1
 
2.0%
236.34 1
 
2.0%
101.5 1
 
2.0%
117.52 1
 
2.0%
Other values (36) 36
73.5%
2023-12-13T02:50:00.706245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 34
16.7%
0 30
14.7%
2 25
12.3%
5 20
9.8%
6 19
9.3%
3 19
9.3%
. 16
7.8%
4 13
 
6.4%
8 9
 
4.4%
7 8
 
3.9%
Other values (2) 11
 
5.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 183
89.7%
Other Punctuation 21
 
10.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 34
18.6%
0 30
16.4%
2 25
13.7%
5 20
10.9%
6 19
10.4%
3 19
10.4%
4 13
 
7.1%
8 9
 
4.9%
7 8
 
4.4%
9 6
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 16
76.2%
, 5
 
23.8%

Most occurring scripts

ValueCountFrequency (%)
Common 204
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 34
16.7%
0 30
14.7%
2 25
12.3%
5 20
9.8%
6 19
9.3%
3 19
9.3%
. 16
7.8%
4 13
 
6.4%
8 9
 
4.4%
7 8
 
3.9%
Other values (2) 11
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 204
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 34
16.7%
0 30
14.7%
2 25
12.3%
5 20
9.8%
6 19
9.3%
3 19
9.3%
. 16
7.8%
4 13
 
6.4%
8 9
 
4.4%
7 8
 
3.9%
Other values (2) 11
 
5.4%

지목
Categorical

HIGH CORRELATION 

Distinct11
Distinct (%)22.4%
Missing0
Missing (%)0.0%
Memory size524.0 B
대
31 
공장용지
6 
잡종지
 
2
임야
 
2
창고용지
 
2
Other values (6)
6 

Length

Max length8
Median length1
Mean length2.0204082
Min length1

Unique

Unique6 ?
Unique (%)12.2%

Sample

1st row대
2nd row대
3rd row대
4th row잡종지
5th row대

Common Values

ValueCountFrequency (%)
대 31
63.3%
공장용지 6
 
12.2%
잡종지 2
 
4.1%
임야 2
 
4.1%
창고용지 2
 
4.1%
임야, 수도용지 1
 
2.0%
전, 임야 1
 
2.0%
종교용지, 대 1
 
2.0%
종교용지 1
 
2.0%
전 1
 
2.0%

Length

2023-12-13T02:50:00.912369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
대 32
61.5%
공장용지 6
 
11.5%
임야 4
 
7.7%
잡종지 2
 
3.8%
창고용지 2
 
3.8%
전 2
 
3.8%
종교용지 2
 
3.8%
수도용지 1
 
1.9%
답 1
 
1.9%

설치위치
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct4
Distinct (%)8.2%
Missing0
Missing (%)0.0%
Memory size524.0 B
건축물상부
43 
토지
 
3
토지, 건축물상부
 
2
건축물 상부
 
1

Length

Max length9
Median length5
Mean length5
Min length2

Unique

Unique1 ?
Unique (%)2.0%

Sample

1st row건축물상부
2nd row건축물상부
3rd row건축물상부
4th row토지
5th row건축물상부

Common Values

ValueCountFrequency (%)
건축물상부 43
87.8%
토지 3
 
6.1%
토지, 건축물상부 2
 
4.1%
건축물 상부 1
 
2.0%

Length

2023-12-13T02:50:01.098997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:50:01.248270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
건축물상부 45
86.5%
토지 5
 
9.6%
건축물 1
 
1.9%
상부 1
 
1.9%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size524.0 B
2022-04-11
49 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-04-11
2nd row2022-04-11
3rd row2022-04-11
4th row2022-04-11
5th row2022-04-11

Common Values

ValueCountFrequency (%)
2022-04-11 49
100.0%

Length

2023-12-13T02:50:01.376212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:50:01.510334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-04-11 49
100.0%

Interactions

2023-12-13T02:49:55.467362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:49:55.295439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:49:55.577789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:49:55.385573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T02:50:01.620390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번허가일자사업개시일자상호소재지용량공급전압설치면적지목설치위치
순번1.0000.9890.9881.0001.0000.0000.5690.9080.4280.000
허가일자0.9891.0000.9991.0001.0000.0001.0000.9920.9280.320
사업개시일자0.9880.9991.0001.0001.0000.0000.8230.9880.9340.643
상호1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
소재지1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
용량0.0000.0000.0001.0001.0001.0000.5951.0000.9410.851
공급전압0.5691.0000.8231.0001.0000.5951.0000.0000.6210.405
설치면적0.9080.9920.9881.0001.0001.0000.0001.0001.0001.000
지목0.4280.9280.9341.0001.0000.9410.6211.0001.0000.668
설치위치0.0000.3200.6431.0001.0000.8510.4051.0000.6681.000
2023-12-13T02:50:01.842666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설치위치지목공급전압
설치위치1.0000.4310.391
지목0.4311.0000.409
공급전압0.3910.4091.000
2023-12-13T02:50:02.009722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번용량공급전압지목설치위치
순번1.000-0.1430.3760.1910.000
용량-0.1431.0000.6020.8090.505
공급전압0.3760.6021.0000.4090.391
지목0.1910.8090.4091.0000.431
설치위치0.0000.5050.3910.4311.000

Missing values

2023-12-13T02:49:55.710897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T02:49:55.918526image/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

순번허가일자사업개시일자상호소재지용량공급전압설치면적지목설치위치데이터기준일자
012011-08-162013-01-10진도 태양광발전소광주광역시 남구 지석동 411-3027.0380300대건축물상부2022-04-11
122012-06-012012-08-29방림 태양광발전소광주광역시 남구 봉선중앙로 118번길 33-49.0220125대건축물상부2022-04-11
232012-11-062013-03-05시민 태양광발전소광주광역시 남구 지동2길 615.0380200대건축물상부2022-04-11
342012-12-042013-10-17광주위생매립장탄소중립 태양광발전소광주광역시 남구 도동길 160280.8229002,000잡종지토지2022-04-11
452013-07-302013-09-17금성 태양광발전소광주광역시 남구 주월동 1257-4 외 1필지30.0380350대건축물상부2022-04-11
562014-01-102014-05-01두영2호 태양광발전소광주광역시 남구 시산길 4648.6380480대건축물상부2022-04-11
672014-03-172014-05-29정석 태양광발전소광주광역시 남구 압촌2길 1225.0380270대건축물 상부2022-04-11
782014-04-182015-01-13빛고을햇빛 태양광발전소 1호(덕남)광주광역시 남구 덕남동 산 20-1, 행암동 287-3, 행암동 산 1602587.52290016,560임야, 수도용지토지, 건축물상부2022-04-11
892014-04-182014-12-29빛고을햇빛 태양광발전소 11호(송하)광주광역시 남구 송하동 산 132-1, 서구 풍암동 산 95-17360.0229003,168임야토지2022-04-11
9102014-06-102017-06-22솔인프라 태양광발전소광주광역시 남구 송하동 365 외 63필지695.02229006,000전, 임야건축물상부2022-04-11
순번허가일자사업개시일자상호소재지용량공급전압설치면적지목설치위치데이터기준일자
39402020-06-162020-11-02상생 태양광발전소광주광역시 남구 승촌동 2-519.5380102대건축물상부2022-04-11
40412020-07-272021-01-19아트 태양광발전소광주광역시 남구 도금동 147-269.75380353.4답건축물상부2022-04-11
41422020-07-292020-11-19아름 태양광발전소광주광역시 남구 백운동 580-119.68380180.05대건축물상부2022-04-11
42432020-07-292020-11-19행운 태양광발전소광주광역시 남구 백운동 613-414.76380182.95대건축물상부2022-04-11
43442020-09-102020-12-16주식회사신방건설 태양광발전소광주광역시 남구 효덕로303번길 529.92380179.5대건축물상부2022-04-11
44452021-03-052021-03-30아리 태양광발전소광주광역시 남구 봉선동 1007-1312.038062.1대건축물상부2022-04-11
45462021-05-312021-09-13씨앤비 태양광발전소광주광역시 남구 승촌동 301, 302-298.84380493.54대건축물상부2022-04-11
46472021-06-082022-01-11채움 태양광발전소광주광역시 남구 노대동 78815.1838073.491대건축물상부2022-04-11
47482021-08-052021-12-30엘엠 태양광발전소광주광역시 남구 임암동 69529.44380142대건축물상부2022-04-11
48492022-02-28사업준비중JS빌딩 태양광발전소광주광역시 남구 진월동 514-28, 514-5529.76380144임야건축물상부2022-04-11