Overview

Dataset statistics

Number of variables18
Number of observations271
Missing cells259
Missing cells (%)5.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory39.8 KiB
Average record size in memory150.5 B

Variable types

Categorical9
Text3
Numeric4
DateTime2

Dataset

Description경기도 광주시 관내 위치한 태양광발전소 현황에 대한 데이터로 용도, 발전소명, 설치장소, 설비용량, 공급전압, 주파수 등을 제공합니다.
URLhttps://www.data.go.kr/data/15034834/fileData.do

Alerts

시군명 has constant value ""Constant
용도 has constant value ""Constant
세부용도 has constant value ""Constant
사업상태 has constant value ""Constant
주파수(HZ) has constant value ""Constant
데이터기준일 has constant value ""Constant
설비용량(KW) is highly overall correlated with 소요부지면적High correlation
소요부지면적 is highly overall correlated with 설비용량(KW) and 1 other fieldsHigh correlation
위도 is highly overall correlated with 소요부지면적High correlation
공급전압(V) is highly imbalanced (77.4%)Imbalance
설치위치구분 is highly imbalanced (74.6%)Imbalance
설치장소 도로명주소 has 9 (3.3%) missing valuesMissing
소요부지면적 has 250 (92.3%) missing valuesMissing

Reproduction

Analysis started2023-12-12 17:16:15.970997
Analysis finished2023-12-12 17:16:19.146692
Duration3.18 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
광주시
271 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
광주시 271
100.0%

Length

2023-12-13T02:16:19.232726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:16:19.363991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
광주시 271
100.0%

용도
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
전기사업용
271 

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 271
100.0%

Length

2023-12-13T02:16:19.476230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:16:19.599467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전기사업용 271
100.0%

세부용도
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
발전사업용
271 

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 271
100.0%

Length

2023-12-13T02:16:19.718160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:16:19.823253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
발전사업용 271
100.0%

사업상태
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
사업개시
271 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사업개시 271
100.0%

Length

2023-12-13T02:16:19.935142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:16:20.061422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사업개시 271
100.0%

발전소명
Text

Distinct268
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2023-12-13T02:16:20.486055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length25
Mean length11.199262
Min length5

Characters and Unicode

Total characters3035
Distinct characters269
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique265 ?
Unique (%)97.8%

Sample

1st row고노골 태양광발전소
2nd row은주 태양광발전소
3rd row지월3리 마을 태양광발전소
4th row은우 발전소
5th row하나 1호 태양광발전소
ValueCountFrequency (%)
태양광발전소 256
44.2%
1호 12
 
2.1%
2호 10
 
1.7%
새마을회 5
 
0.9%
블루 4
 
0.7%
이와이 3
 
0.5%
동방화학 2
 
0.3%
진주태양광 2
 
0.3%
민경케미칼 2
 
0.3%
솔아 2
 
0.3%
Other values (268) 281
48.5%
2023-12-13T02:16:21.088377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
308
 
10.1%
광 287
 
9.5%
태 272
 
9.0%
양 272
 
9.0%
발 271
 
8.9%
전 271
 
8.9%
소 271
 
8.9%
호 57
 
1.9%
2 37
 
1.2%
1 35
 
1.2%
Other values (259) 954
31.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2579
85.0%
Space Separator 308
 
10.1%
Decimal Number 91
 
3.0%
Uppercase Letter 31
 
1.0%
Lowercase Letter 10
 
0.3%
Dash Punctuation 6
 
0.2%
Open Punctuation 4
 
0.1%
Close Punctuation 4
 
0.1%
Other Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 287
 
11.1%
태 272
 
10.5%
양 272
 
10.5%
발 271
 
10.5%
전 271
 
10.5%
소 271
 
10.5%
호 57
 
2.2%
이 34
 
1.3%
주 28
 
1.1%
리 27
 
1.0%
Other values (228) 789
30.6%
Uppercase Letter
ValueCountFrequency (%)
K 8
25.8%
S 4
12.9%
T 3
 
9.7%
C 3
 
9.7%
F 2
 
6.5%
E 2
 
6.5%
Y 2
 
6.5%
H 2
 
6.5%
D 1
 
3.2%
J 1
 
3.2%
Other values (3) 3
 
9.7%
Decimal Number
ValueCountFrequency (%)
2 37
40.7%
1 35
38.5%
3 11
 
12.1%
4 3
 
3.3%
9 2
 
2.2%
5 2
 
2.2%
7 1
 
1.1%
Lowercase Letter
ValueCountFrequency (%)
o 2
20.0%
c 2
20.0%
e 2
20.0%
p 2
20.0%
k 2
20.0%
Other Punctuation
ValueCountFrequency (%)
. 1
50.0%
& 1
50.0%
Space Separator
ValueCountFrequency (%)
308
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2579
85.0%
Common 415
 
13.7%
Latin 41
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 287
 
11.1%
태 272
 
10.5%
양 272
 
10.5%
발 271
 
10.5%
전 271
 
10.5%
소 271
 
10.5%
호 57
 
2.2%
이 34
 
1.3%
주 28
 
1.1%
리 27
 
1.0%
Other values (228) 789
30.6%
Latin
ValueCountFrequency (%)
K 8
19.5%
S 4
 
9.8%
T 3
 
7.3%
C 3
 
7.3%
o 2
 
4.9%
F 2
 
4.9%
c 2
 
4.9%
E 2
 
4.9%
e 2
 
4.9%
Y 2
 
4.9%
Other values (8) 11
26.8%
Common
ValueCountFrequency (%)
308
74.2%
2 37
 
8.9%
1 35
 
8.4%
3 11
 
2.7%
- 6
 
1.4%
( 4
 
1.0%
) 4
 
1.0%
4 3
 
0.7%
9 2
 
0.5%
5 2
 
0.5%
Other values (3) 3
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2579
85.0%
ASCII 456
 
15.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
308
67.5%
2 37
 
8.1%
1 35
 
7.7%
3 11
 
2.4%
K 8
 
1.8%
- 6
 
1.3%
( 4
 
0.9%
S 4
 
0.9%
) 4
 
0.9%
4 3
 
0.7%
Other values (21) 36
 
7.9%
Hangul
ValueCountFrequency (%)
광 287
 
11.1%
태 272
 
10.5%
양 272
 
10.5%
발 271
 
10.5%
전 271
 
10.5%
소 271
 
10.5%
호 57
 
2.2%
이 34
 
1.3%
주 28
 
1.1%
리 27
 
1.0%
Other values (228) 789
30.6%

설치장소 도로명주소
Text

MISSING 

Distinct236
Distinct (%)90.1%
Missing9
Missing (%)3.3%
Memory size2.2 KiB
2023-12-13T02:16:21.521653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length27
Mean length22.549618
Min length17

Characters and Unicode

Total characters5908
Distinct characters139
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

Unique215 ?
Unique (%)82.1%

Sample

1st row경기도 광주시 초월읍 경수길 194-36
2nd row경기도 광주시 퇴촌면 가새골길 16-13
3rd row경기도 광주시 초월읍 설월길23번길 12
4th row경기도 광주시 남종면 산수로 1932
5th row경기도 광주시 도척면 저수지길 205-18
ValueCountFrequency (%)
경기도 262
20.0%
광주시 262
20.0%
초월읍 55
 
4.2%
곤지암읍 50
 
3.8%
도척면 48
 
3.7%
목동 16
 
1.2%
태전동 13
 
1.0%
추자동 10
 
0.8%
문형동 10
 
0.8%
매산동 10
 
0.8%
Other values (352) 575
43.9%
2023-12-13T02:16:22.078700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1049
17.8%
도 341
 
5.8%
경 283
 
4.8%
광 282
 
4.8%
기 264
 
4.5%
주 263
 
4.5%
시 262
 
4.4%
길 207
 
3.5%
1 205
 
3.5%
2 164
 
2.8%
Other values (129) 2588
43.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3462
58.6%
Decimal Number 1086
 
18.4%
Space Separator 1049
 
17.8%
Dash Punctuation 130
 
2.2%
Close Punctuation 90
 
1.5%
Open Punctuation 90
 
1.5%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 341
 
9.8%
경 283
 
8.2%
광 282
 
8.1%
기 264
 
7.6%
주 263
 
7.6%
시 262
 
7.6%
길 207
 
6.0%
로 148
 
4.3%
동 110
 
3.2%
읍 105
 
3.0%
Other values (114) 1197
34.6%
Decimal Number
ValueCountFrequency (%)
1 205
18.9%
2 164
15.1%
3 126
11.6%
4 97
8.9%
6 92
8.5%
0 92
8.5%
8 84
7.7%
5 81
 
7.5%
9 77
 
7.1%
7 68
 
6.3%
Space Separator
ValueCountFrequency (%)
1049
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 130
100.0%
Close Punctuation
ValueCountFrequency (%)
) 90
100.0%
Open Punctuation
ValueCountFrequency (%)
( 90
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3462
58.6%
Common 2446
41.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 341
 
9.8%
경 283
 
8.2%
광 282
 
8.1%
기 264
 
7.6%
주 263
 
7.6%
시 262
 
7.6%
길 207
 
6.0%
로 148
 
4.3%
동 110
 
3.2%
읍 105
 
3.0%
Other values (114) 1197
34.6%
Common
ValueCountFrequency (%)
1049
42.9%
1 205
 
8.4%
2 164
 
6.7%
- 130
 
5.3%
3 126
 
5.2%
4 97
 
4.0%
6 92
 
3.8%
0 92
 
3.8%
) 90
 
3.7%
( 90
 
3.7%
Other values (5) 311
 
12.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3462
58.6%
ASCII 2446
41.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1049
42.9%
1 205
 
8.4%
2 164
 
6.7%
- 130
 
5.3%
3 126
 
5.2%
4 97
 
4.0%
6 92
 
3.8%
0 92
 
3.8%
) 90
 
3.7%
( 90
 
3.7%
Other values (5) 311
 
12.7%
Hangul
ValueCountFrequency (%)
도 341
 
9.8%
경 283
 
8.2%
광 282
 
8.1%
기 264
 
7.6%
주 263
 
7.6%
시 262
 
7.6%
길 207
 
6.0%
로 148
 
4.3%
동 110
 
3.2%
읍 105
 
3.0%
Other values (114) 1197
34.6%

설치장소 지번주소
Text

Distinct254
Distinct (%)93.7%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2023-12-13T02:16:22.337225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length64
Median length38
Mean length22.232472
Min length14

Characters and Unicode

Total characters6025
Distinct characters114
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

Unique241 ?
Unique (%)88.9%

Sample

1st row경기도 광주시 초월읍 지월리 29-1
2nd row경기도 광주시 퇴촌면 원당리 123-1
3rd row경기도 광주시 초월읍 지월리 771
4th row경기도 광주시 남종면 귀여리 606-1
5th row경기도 광주시 도척면 진우리 891-63
ValueCountFrequency (%)
경기도 271
20.1%
광주시 271
20.1%
초월읍 56
 
4.2%
곤지암읍 54
 
4.0%
도척면 49
 
3.6%
지월리 20
 
1.5%
진우리 18
 
1.3%
목동 16
 
1.2%
태전동 13
 
1.0%
신월리 13
 
1.0%
Other values (367) 568
42.1%
2023-12-13T02:16:22.703629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1338
22.2%
도 332
 
5.5%
경 271
 
4.5%
광 271
 
4.5%
주 271
 
4.5%
시 271
 
4.5%
기 271
 
4.5%
- 268
 
4.4%
1 263
 
4.4%
2 194
 
3.2%
Other values (104) 2275
37.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3095
51.4%
Space Separator 1338
22.2%
Decimal Number 1251
20.8%
Dash Punctuation 268
 
4.4%
Other Punctuation 63
 
1.0%
Open Punctuation 5
 
0.1%
Close Punctuation 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 332
 
10.7%
경 271
 
8.8%
광 271
 
8.8%
주 271
 
8.8%
시 271
 
8.8%
기 271
 
8.8%
리 180
 
5.8%
동 114
 
3.7%
읍 110
 
3.6%
지 107
 
3.5%
Other values (89) 897
29.0%
Decimal Number
ValueCountFrequency (%)
1 263
21.0%
2 194
15.5%
3 157
12.5%
6 113
9.0%
4 106
8.5%
5 106
8.5%
8 90
 
7.2%
7 85
 
6.8%
0 75
 
6.0%
9 62
 
5.0%
Space Separator
ValueCountFrequency (%)
1338
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 268
100.0%
Other Punctuation
ValueCountFrequency (%)
, 63
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3095
51.4%
Common 2930
48.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 332
 
10.7%
경 271
 
8.8%
광 271
 
8.8%
주 271
 
8.8%
시 271
 
8.8%
기 271
 
8.8%
리 180
 
5.8%
동 114
 
3.7%
읍 110
 
3.6%
지 107
 
3.5%
Other values (89) 897
29.0%
Common
ValueCountFrequency (%)
1338
45.7%
- 268
 
9.1%
1 263
 
9.0%
2 194
 
6.6%
3 157
 
5.4%
6 113
 
3.9%
4 106
 
3.6%
5 106
 
3.6%
8 90
 
3.1%
7 85
 
2.9%
Other values (5) 210
 
7.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3095
51.4%
ASCII 2930
48.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1338
45.7%
- 268
 
9.1%
1 263
 
9.0%
2 194
 
6.6%
3 157
 
5.4%
6 113
 
3.9%
4 106
 
3.6%
5 106
 
3.6%
8 90
 
3.1%
7 85
 
2.9%
Other values (5) 210
 
7.2%
Hangul
ValueCountFrequency (%)
도 332
 
10.7%
경 271
 
8.8%
광 271
 
8.8%
주 271
 
8.8%
시 271
 
8.8%
기 271
 
8.8%
리 180
 
5.8%
동 114
 
3.7%
읍 110
 
3.6%
지 107
 
3.5%
Other values (89) 897
29.0%

설비용량(KW)
Real number (ℝ)

HIGH CORRELATION 

Distinct193
Distinct (%)71.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean76.934465
Minimum9.1
Maximum498.96
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2023-12-13T02:16:22.854853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9.1
5-th percentile14.22
Q129.665
median69.66
Q399
95-th percentile188.735
Maximum498.96
Range489.86
Interquartile range (IQR)69.335

Descriptive statistics

Standard deviation67.395857
Coefficient of variation (CV)0.87601645
Kurtosis13.427009
Mean76.934465
Median Absolute Deviation (MAD)30.09
Skewness3.0270597
Sum20849.24
Variance4542.2016
MonotonicityNot monotonic
2023-12-13T02:16:22.991228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
99.0 10
 
3.7%
99.96 8
 
3.0%
99.76 7
 
2.6%
12.0 4
 
1.5%
10.0 4
 
1.5%
19.8 4
 
1.5%
50.4 4
 
1.5%
149.64 4
 
1.5%
19.2 4
 
1.5%
81.9 4
 
1.5%
Other values (183) 218
80.4%
ValueCountFrequency (%)
9.1 1
 
0.4%
9.86 1
 
0.4%
9.9 1
 
0.4%
10.0 4
1.5%
12.0 4
1.5%
12.6 1
 
0.4%
13.6 1
 
0.4%
14.04 1
 
0.4%
14.4 1
 
0.4%
15.0 1
 
0.4%
ValueCountFrequency (%)
498.96 1
0.4%
480.6 1
0.4%
407.68 1
0.4%
343.62 1
0.4%
336.72 1
0.4%
315.0 1
0.4%
280.28 1
0.4%
274.54 1
0.4%
252.0 1
0.4%
200.0 1
0.4%

공급전압(V)
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
380
254 
220
 
16
22900
 
1

Length

Max length5
Median length3
Mean length3.0073801
Min length3

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
380 254
93.7%
220 16
 
5.9%
22900 1
 
0.4%

Length

2023-12-13T02:16:23.115451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:16:23.235686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
380 254
93.7%
220 16
 
5.9%
22900 1
 
0.4%

주파수(HZ)
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
60
271 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
60 271
100.0%

Length

2023-12-13T02:16:23.328873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:16:23.420354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
60 271
100.0%

사업허가일
Date

Distinct187
Distinct (%)69.0%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
Minimum2007-08-17 00:00:00
Maximum2023-04-19 00:00:00
2023-12-13T02:16:23.535202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:16:23.681567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

사업개시일
Date

Distinct220
Distinct (%)81.2%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
Minimum2008-09-25 00:00:00
Maximum2023-07-25 00:00:00
2023-12-13T02:16:23.818648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:16:23.983783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

소요부지면적
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct18
Distinct (%)85.7%
Missing250
Missing (%)92.3%
Infinite0
Infinite (%)0.0%
Mean327.48286
Minimum49.56
Maximum727.19
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2023-12-13T02:16:24.409023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum49.56
5-th percentile71.84
Q188.53
median306.85
Q3476.85
95-th percentile727.19
Maximum727.19
Range677.63
Interquartile range (IQR)388.32

Descriptive statistics

Standard deviation247.81763
Coefficient of variation (CV)0.75673465
Kurtosis-1.1075755
Mean327.48286
Median Absolute Deviation (MAD)215.93
Skewness0.51651077
Sum6877.14
Variance61413.576
MonotonicityNot monotonic
2023-12-13T02:16:24.522388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
727.19 4
 
1.5%
476.85 1
 
0.4%
454.8 1
 
0.4%
481.0 1
 
0.4%
176.0 1
 
0.4%
90.92 1
 
0.4%
367.35 1
 
0.4%
320.7 1
 
0.4%
86.53 1
 
0.4%
88.53 1
 
0.4%
Other values (8) 8
 
3.0%
(Missing) 250
92.3%
ValueCountFrequency (%)
49.56 1
0.4%
71.84 1
0.4%
82.8 1
0.4%
86.53 1
0.4%
87.7 1
0.4%
88.53 1
0.4%
90.92 1
0.4%
92.68 1
0.4%
176.0 1
0.4%
287.27 1
0.4%
ValueCountFrequency (%)
727.19 4
1.5%
481.0 1
 
0.4%
476.85 1
 
0.4%
454.8 1
 
0.4%
447.0 1
 
0.4%
367.35 1
 
0.4%
320.7 1
 
0.4%
306.85 1
 
0.4%
287.27 1
 
0.4%
176.0 1
 
0.4%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct245
Distinct (%)90.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.37327
Minimum37.277607
Maximum37.511578
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2023-12-13T02:16:24.649711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.277607
5-th percentile37.294331
Q137.343482
median37.376831
Q337.403005
95-th percentile37.44694
Maximum37.511578
Range0.23397098
Interquartile range (IQR)0.059523245

Descriptive statistics

Standard deviation0.045813298
Coefficient of variation (CV)0.0012258306
Kurtosis0.16040738
Mean37.37327
Median Absolute Deviation (MAD)0.02829747
Skewness0.14854258
Sum10128.156
Variance0.0020988583
MonotonicityNot monotonic
2023-12-13T02:16:24.792130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.31376212 4
 
1.5%
37.29927017 3
 
1.1%
37.40300488 3
 
1.1%
37.40322339 3
 
1.1%
37.35897611 2
 
0.7%
37.39378929 2
 
0.7%
37.38286764 2
 
0.7%
37.40512802 2
 
0.7%
37.36620585 2
 
0.7%
37.34101336 2
 
0.7%
Other values (235) 246
90.8%
ValueCountFrequency (%)
37.27760666 1
0.4%
37.27905235 1
0.4%
37.28004908 2
0.7%
37.2802053 1
0.4%
37.28111214 1
0.4%
37.28190298 1
0.4%
37.28236966 1
0.4%
37.28320704 1
0.4%
37.29001698 1
0.4%
37.29111554 1
0.4%
ValueCountFrequency (%)
37.51157764 1
0.4%
37.50497474 1
0.4%
37.50056186 1
0.4%
37.48774061 1
0.4%
37.48183805 1
0.4%
37.47718001 1
0.4%
37.47648608 1
0.4%
37.47429958 1
0.4%
37.47224509 1
0.4%
37.46867468 1
0.4%

경도
Real number (ℝ)

Distinct245
Distinct (%)90.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.29721
Minimum127.1711
Maximum127.43703
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2023-12-13T02:16:24.950253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.1711
5-th percentile127.2044
Q1127.23141
median127.31114
Q3127.34062
95-th percentile127.40473
Maximum127.43703
Range0.2659285
Interquartile range (IQR)0.10920925

Descriptive statistics

Standard deviation0.064787739
Coefficient of variation (CV)0.00050894862
Kurtosis-1.0105558
Mean127.29721
Median Absolute Deviation (MAD)0.0478179
Skewness-0.027276245
Sum34497.544
Variance0.0041974512
MonotonicityNot monotonic
2023-12-13T02:16:25.077928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.340624 4
 
1.5%
127.3451042 3
 
1.1%
127.2147278 3
 
1.1%
127.213709 3
 
1.1%
127.2463762 2
 
0.7%
127.3184781 2
 
0.7%
127.1935615 2
 
0.7%
127.3004497 2
 
0.7%
127.2300244 2
 
0.7%
127.2044028 2
 
0.7%
Other values (235) 246
90.8%
ValueCountFrequency (%)
127.1711033 1
0.4%
127.1866633 1
0.4%
127.1905896 1
0.4%
127.1927329 1
0.4%
127.1927695 1
0.4%
127.1933244 1
0.4%
127.1935615 2
0.7%
127.1946198 1
0.4%
127.1962084 1
0.4%
127.1985568 1
0.4%
ValueCountFrequency (%)
127.4370318 1
0.4%
127.4311324 1
0.4%
127.4256897 1
0.4%
127.4219708 1
0.4%
127.4213416 1
0.4%
127.4197969 1
0.4%
127.4151161 1
0.4%
127.4137737 1
0.4%
127.4118775 1
0.4%
127.4116179 1
0.4%

설치위치구분
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
건물 위
250 
토지 위
 
11
주차장 위
 
5
건물 및 토지 위
 
5

Length

Max length9
Median length4
Mean length4.1107011
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row건물 위
2nd row건물 위
3rd row건물 위
4th row건물 위
5th row건물 위

Common Values

ValueCountFrequency (%)
건물 위 250
92.3%
토지 위 11
 
4.1%
주차장 위 5
 
1.8%
건물 및 토지 위 5
 
1.8%

Length

2023-12-13T02:16:25.195090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:16:25.290130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
위 271
49.1%
건물 255
46.2%
토지 16
 
2.9%
주차장 5
 
0.9%
및 5
 
0.9%

지목
Categorical

Distinct18
Distinct (%)6.6%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
공장용지
117 
대
75 
창고용지
41 
잡종지
17 
대, 공장용지
 
4
Other values (13)
17 

Length

Max length7
Median length4
Mean length3.103321
Min length1

Unique

Unique9 ?
Unique (%)3.3%

Sample

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

Common Values

ValueCountFrequency (%)
공장용지 117
43.2%
대 75
27.7%
창고용지 41
 
15.1%
잡종지 17
 
6.3%
대, 공장용지 4
 
1.5%
전 2
 
0.7%
종교용지 2
 
0.7%
답 2
 
0.7%
임 2
 
0.7%
대, 잡종지 1
 
0.4%
Other values (8) 8
 
3.0%

Length

2023-12-13T02:16:25.419858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
공장용지 122
43.6%
대 84
30.0%
창고용지 42
 
15.0%
잡종지 18
 
6.4%
전 3
 
1.1%
종교용지 3
 
1.1%
답 2
 
0.7%
임 2
 
0.7%
도 1
 
0.4%
천 1
 
0.4%
Other values (2) 2
 
0.7%

데이터기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2023-08-10
271 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-08-10
2nd row2023-08-10
3rd row2023-08-10
4th row2023-08-10
5th row2023-08-10

Common Values

ValueCountFrequency (%)
2023-08-10 271
100.0%

Length

2023-12-13T02:16:25.532879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:16:25.607549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-08-10 271
100.0%

Interactions

2023-12-13T02:16:18.156261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:16:16.740170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:16:17.149907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:16:17.660663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:16:18.255054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:16:16.827427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:16:17.283192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:16:17.793417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:16:18.340552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:16:16.931298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:16:17.423617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:16:17.928529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:16:18.436480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:16:17.027060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:16:17.543996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:16:18.041137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T02:16:25.665905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설비용량(KW)공급전압(V)소요부지면적위도경도설치위치구분지목
설비용량(KW)1.0000.5611.0000.1090.1580.4670.602
공급전압(V)0.5611.0000.0000.3790.3240.1980.695
소요부지면적1.0000.0001.0000.0000.0000.0000.681
위도0.1090.3790.0001.0000.7640.0000.399
경도0.1580.3240.0000.7641.0000.3150.379
설치위치구분0.4670.1980.0000.0000.3151.0000.683
지목0.6020.6950.6810.3990.3790.6831.000
2023-12-13T02:16:25.754485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설치위치구분지목공급전압(V)
설치위치구분1.0000.4430.188
지목0.4431.0000.487
공급전압(V)0.1880.4871.000
2023-12-13T02:16:25.825648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설비용량(KW)소요부지면적위도경도공급전압(V)설치위치구분지목
설비용량(KW)1.0000.966-0.236-0.0600.2930.3140.285
소요부지면적0.9661.000-0.7740.1710.0000.0000.483
위도-0.236-0.7741.000-0.3800.2430.0000.164
경도-0.0600.171-0.3801.0000.2020.1900.154
공급전압(V)0.2930.0000.2430.2021.0000.1880.487
설치위치구분0.3140.0000.0000.1900.1881.0000.443
지목0.2850.4830.1640.1540.4870.4431.000

Missing values

2023-12-13T02:16:18.626575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T02:16:18.871714image/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.
2023-12-13T02:16:19.060906image/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

시군명용도세부용도사업상태발전소명설치장소 도로명주소설치장소 지번주소설비용량(KW)공급전압(V)주파수(HZ)사업허가일사업개시일소요부지면적위도경도설치위치구분지목데이터기준일
0광주시전기사업용발전사업용사업개시고노골 태양광발전소경기도 광주시 초월읍 경수길 194-36경기도 광주시 초월읍 지월리 29-119.0380602023-04-192023-06-2286.5337.423604127.299566건물 위대2023-08-10
1광주시전기사업용발전사업용사업개시은주 태양광발전소경기도 광주시 퇴촌면 가새골길 16-13경기도 광주시 퇴촌면 원당리 123-119.5380602023-04-132023-06-2288.5337.438899127.317098건물 위대2023-08-10
2광주시전기사업용발전사업용사업개시지월3리 마을 태양광발전소경기도 광주시 초월읍 설월길23번길 12경기도 광주시 초월읍 지월리 77110.0220602023-03-072023-07-0749.5637.425331127.283947건물 위대2023-08-10
3광주시전기사업용발전사업용사업개시은우 발전소경기도 광주시 남종면 산수로 1932경기도 광주시 남종면 귀여리 606-117.28220602023-01-202023-04-2882.837.511578127.316777건물 위대2023-08-10
4광주시전기사업용발전사업용사업개시하나 1호 태양광발전소경기도 광주시 도척면 저수지길 205-18경기도 광주시 도척면 진우리 891-6396.76380602023-01-132023-05-03447.037.30819127.353037건물 위공장용지2023-08-10
5광주시전기사업용발전사업용사업개시와이티엘 태양광발전소경기도 광주시 도척면 도척로 376-26경기도 광주시 도척면 진우리 431-161.88380602022-12-152023-07-19287.2737.320484127.334112건물 위대2023-08-10
6광주시전기사업용발전사업용사업개시영동1리 태양광발전소<NA>경기도 광주시 퇴촌면 영동리 60015.12380602022-12-012023-03-2971.8437.476486127.385137토지 위천2023-08-10
7광주시전기사업용발전사업용사업개시대한황토 태양광발전소경기도 광주시 곤지암읍 외선길 79-29경기도 광주시 곤지암읍 이선리 30619.89380602022-11-252023-04-2687.737.355598127.421342건물 위대2023-08-10
8광주시전기사업용발전사업용사업개시(주)파스컴 태양광발전소경기도 광주시 초월읍 경충대로 1333-32경기도 광주시 초월읍 대쌍령리 365-964.96380602022-11-232023-04-07306.8537.391722127.279715건물 위공장용지2023-08-10
9광주시전기사업용발전사업용사업개시준 1호 태양광발전소경기도 광주시 오포로 517-51 (문형동)경기도 광주시 문형동 236-3220.7380602022-11-232023-04-1192.6837.345696127.21073건물 위대2023-08-10
시군명용도세부용도사업상태발전소명설치장소 도로명주소설치장소 지번주소설비용량(KW)공급전압(V)주파수(HZ)사업허가일사업개시일소요부지면적위도경도설치위치구분지목데이터기준일
261광주시전기사업용발전사업용사업개시상진2호 태양광발전소경기도 광주시 광남안로 108 (목동)경기도 광주시 목동 21-499.45380602014-03-212014-10-23<NA>37.386849127.214806건물 위공장용지2023-08-10
262광주시전기사업용발전사업용사업개시옥산 태양광발전소경기도 광주시 초월읍 산수로 352경기도 광주시 초월읍 신월리 659-150.0380602014-01-292014-03-26<NA>37.392737127.314162건물 위대2023-08-10
263광주시전기사업용발전사업용사업개시오포 태양광발전소경기도 광주시 고산길 160-33 (고산동)경기도 광주시 고산동 52331.5380602014-01-282014-05-12<NA>37.376035127.215968건물 위공장용지2023-08-10
264광주시전기사업용발전사업용사업개시명성물류 태양광발전소경기도 광주시 곤지암읍 광여로4번길 31경기도 광주시 곤지암읍 곤지암리 15840.0380602014-01-282014-03-26<NA>37.34856127.350005건물 위공장용지2023-08-10
265광주시전기사업용발전사업용사업개시창조 태양광발전소경기도 광주시 도척면 다람로36번길 65-97경기도 광주시 도척면 궁평리 67325.96380602013-10-292014-06-02<NA>37.330035127.318094건물 위공장용지2023-08-10
266광주시전기사업용발전사업용사업개시상진1호 태양광발전소경기도 광주시 광남안로 104-10 (태전동)경기도 광주시 태전동 584-198.18380602013-10-042013-12-23<NA>37.387345127.214891건물 및 토지 위공장용지2023-08-10
267광주시전기사업용발전사업용사업개시신월 태양광발전소 2호경기도 광주시 초월읍 산수로 569경기도 광주시 초월읍 신월리 389-430.0380602012-12-182013-04-03<NA>37.410844127.305582건물 위창고용지2023-08-10
268광주시전기사업용발전사업용사업개시동방화학 태양광발전소경기도 광주시 초월읍 산수로622번길 16경기도 광주시 초월읍 지월리 75-299.0380602012-10-122012-12-10<NA>37.415304127.307066건물 위공장용지2023-08-10
269광주시전기사업용발전사업용사업개시KT 태화산 태양광발전소경기도 광주시 도척면 도척로 870-1경기도 광주시 도척면 유정리 산31-127.0380602011-12-122012-01-06<NA>37.295983127.311938건물 위임2023-08-10
270광주시전기사업용발전사업용사업개시광주 태양광발전소<NA>경기도 광주시 직동 산12-1200.022900602007-08-172008-09-25<NA>37.405033127.193324토지 위임2023-08-10