Overview

Dataset statistics

Number of variables15
Number of observations235
Missing cells235
Missing cells (%)6.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory29.3 KiB
Average record size in memory127.6 B

Variable types

Text3
Numeric4
Categorical6
DateTime1
Unsupported1

Dataset

Description양평관내 태양광발전소 위치 및 설비용량 등에 대한 데이터로 용도, 세부용도, 사업상태, 발전소명 등의 정보를 제공합니다.
URLhttps://www.data.go.kr/data/15039983/fileData.do

Alerts

설치상세위치구분명 has constant value ""Constant
가동상태구분명 has constant value ""Constant
주파수 has constant value ""Constant
허가기관 has constant value ""Constant
데이터기준일자 has constant value ""Constant
공급전압 is highly imbalanced (59.5%)Imbalance
설치면적 has 235 (100.0%) missing valuesMissing
설치면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-12 03:15:05.107199
Analysis finished2023-12-12 03:15:08.393986
Duration3.29 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Distinct233
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2023-12-12T12:15:08.815037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length19
Mean length10.310638
Min length3

Characters and Unicode

Total characters2423
Distinct characters221
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

Unique231 ?
Unique (%)98.3%

Sample

1st row삼성2리 태양광발전소
2nd row계전2리새마을회 태양광발전소
3rd row부1리새마을회 태양광발전소
4th row화전1리새마을회 태양광발전소
5th row세월1리 새마을회 태양광발전소
ValueCountFrequency (%)
태양광발전소 182
38.5%
발전소 17
 
3.6%
2호 8
 
1.7%
백연 7
 
1.5%
태양광 7
 
1.5%
1호 4
 
0.8%
평화 3
 
0.6%
3호 3
 
0.6%
5호 3
 
0.6%
옥현2 2
 
0.4%
Other values (227) 237
50.1%
2023-12-12T12:15:09.598784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
238
 
9.8%
237
 
9.8%
231
 
9.5%
229
 
9.5%
225
 
9.3%
216
 
8.9%
214
 
8.8%
48
 
2.0%
38
 
1.6%
2 36
 
1.5%
Other values (211) 711
29.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2068
85.3%
Space Separator 238
 
9.8%
Decimal Number 94
 
3.9%
Uppercase Letter 12
 
0.5%
Close Punctuation 5
 
0.2%
Open Punctuation 5
 
0.2%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
237
 
11.5%
231
 
11.2%
229
 
11.1%
225
 
10.9%
216
 
10.4%
214
 
10.3%
48
 
2.3%
38
 
1.8%
17
 
0.8%
15
 
0.7%
Other values (192) 598
28.9%
Decimal Number
ValueCountFrequency (%)
2 36
38.3%
1 27
28.7%
3 15
16.0%
4 7
 
7.4%
5 4
 
4.3%
6 2
 
2.1%
7 2
 
2.1%
0 1
 
1.1%
Uppercase Letter
ValueCountFrequency (%)
D 3
25.0%
Y 2
16.7%
K 2
16.7%
H 2
16.7%
T 1
 
8.3%
S 1
 
8.3%
O 1
 
8.3%
Space Separator
ValueCountFrequency (%)
238
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2068
85.3%
Common 343
 
14.2%
Latin 12
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
237
 
11.5%
231
 
11.2%
229
 
11.1%
225
 
10.9%
216
 
10.4%
214
 
10.3%
48
 
2.3%
38
 
1.8%
17
 
0.8%
15
 
0.7%
Other values (192) 598
28.9%
Common
ValueCountFrequency (%)
238
69.4%
2 36
 
10.5%
1 27
 
7.9%
3 15
 
4.4%
4 7
 
2.0%
) 5
 
1.5%
( 5
 
1.5%
5 4
 
1.2%
6 2
 
0.6%
7 2
 
0.6%
Other values (2) 2
 
0.6%
Latin
ValueCountFrequency (%)
D 3
25.0%
Y 2
16.7%
K 2
16.7%
H 2
16.7%
T 1
 
8.3%
S 1
 
8.3%
O 1
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2068
85.3%
ASCII 355
 
14.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
238
67.0%
2 36
 
10.1%
1 27
 
7.6%
3 15
 
4.2%
4 7
 
2.0%
) 5
 
1.4%
( 5
 
1.4%
5 4
 
1.1%
D 3
 
0.8%
Y 2
 
0.6%
Other values (9) 13
 
3.7%
Hangul
ValueCountFrequency (%)
237
 
11.5%
231
 
11.2%
229
 
11.1%
225
 
10.9%
216
 
10.4%
214
 
10.3%
48
 
2.3%
38
 
1.8%
17
 
0.8%
15
 
0.7%
Other values (192) 598
28.9%
Distinct198
Distinct (%)84.3%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2023-12-12T12:15:10.036645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length39
Mean length23.314894
Min length17

Characters and Unicode

Total characters5479
Distinct characters195
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

Unique175 ?
Unique (%)74.5%

Sample

1st row경기도 양평군 청운면 삼성리 344-5
2nd row경기도 양평군 개군면 오룡동길 13, 계전2리마을회관
3rd row경기도 양평군 개군면 쇠부리길 63, 부1리마을회관
4th row경기도 양평군 용문면 새터말길 15, 화전1리노인회관
5th row경기도 양평군 강상면 세월길 139
ValueCountFrequency (%)
경기도 235
 
18.5%
양평군 235
 
18.5%
지평면 63
 
5.0%
개군면 32
 
2.5%
양평읍 27
 
2.1%
용문면 26
 
2.0%
강하면 18
 
1.4%
청운면 15
 
1.2%
계전리 13
 
1.0%
수곡리 12
 
0.9%
Other values (379) 596
46.9%
2023-12-12T12:15:10.684846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1037
18.9%
341
 
6.2%
294
 
5.4%
267
 
4.9%
240
 
4.4%
238
 
4.3%
235
 
4.3%
1 216
 
3.9%
208
 
3.8%
151
 
2.8%
Other values (185) 2252
41.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3352
61.2%
Space Separator 1037
 
18.9%
Decimal Number 914
 
16.7%
Dash Punctuation 100
 
1.8%
Other Punctuation 51
 
0.9%
Close Punctuation 11
 
0.2%
Open Punctuation 11
 
0.2%
Lowercase Letter 2
 
< 0.1%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
341
 
10.2%
294
 
8.8%
267
 
8.0%
240
 
7.2%
238
 
7.1%
235
 
7.0%
208
 
6.2%
151
 
4.5%
97
 
2.9%
89
 
2.7%
Other values (167) 1192
35.6%
Decimal Number
ValueCountFrequency (%)
1 216
23.6%
2 140
15.3%
3 90
9.8%
4 78
 
8.5%
7 73
 
8.0%
6 71
 
7.8%
0 68
 
7.4%
5 63
 
6.9%
9 60
 
6.6%
8 55
 
6.0%
Lowercase Letter
ValueCountFrequency (%)
k 1
50.0%
s 1
50.0%
Space Separator
ValueCountFrequency (%)
1037
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 100
100.0%
Other Punctuation
ValueCountFrequency (%)
, 51
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3352
61.2%
Common 2124
38.8%
Latin 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
341
 
10.2%
294
 
8.8%
267
 
8.0%
240
 
7.2%
238
 
7.1%
235
 
7.0%
208
 
6.2%
151
 
4.5%
97
 
2.9%
89
 
2.7%
Other values (167) 1192
35.6%
Common
ValueCountFrequency (%)
1037
48.8%
1 216
 
10.2%
2 140
 
6.6%
- 100
 
4.7%
3 90
 
4.2%
4 78
 
3.7%
7 73
 
3.4%
6 71
 
3.3%
0 68
 
3.2%
5 63
 
3.0%
Other values (5) 188
 
8.9%
Latin
ValueCountFrequency (%)
k 1
33.3%
A 1
33.3%
s 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3352
61.2%
ASCII 2127
38.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1037
48.8%
1 216
 
10.2%
2 140
 
6.6%
- 100
 
4.7%
3 90
 
4.2%
4 78
 
3.7%
7 73
 
3.4%
6 71
 
3.3%
0 68
 
3.2%
5 63
 
3.0%
Other values (8) 191
 
9.0%
Hangul
ValueCountFrequency (%)
341
 
10.2%
294
 
8.8%
267
 
8.0%
240
 
7.2%
238
 
7.1%
235
 
7.0%
208
 
6.2%
151
 
4.5%
97
 
2.9%
89
 
2.7%
Other values (167) 1192
35.6%
Distinct199
Distinct (%)84.7%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2023-12-12T12:15:11.126333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length34
Mean length23.004255
Min length18

Characters and Unicode

Total characters5406
Distinct characters168
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique178 ?
Unique (%)75.7%

Sample

1st row경기도 양평군 청운면 삼성리 344-4
2nd row경기도 양평군 개군면 계전리 505-7 계전2리마을회관
3rd row경기도 양평군 개군면 부리 125-2 부1리마을회관
4th row경기도 양평군 용문면 화전리 1375 화전1리노인회관
5th row경기도 양평군 강상면 세월리 163
ValueCountFrequency (%)
경기도 235
18.3%
양평군 235
18.3%
지평면 62
 
4.8%
개군면 32
 
2.5%
양평읍 28
 
2.2%
용문면 26
 
2.0%
1호 21
 
1.6%
수곡리 21
 
1.6%
계전리 19
 
1.5%
강하면 18
 
1.4%
Other values (345) 586
45.7%
2023-12-12T12:15:11.756936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1048
19.4%
338
 
6.3%
291
 
5.4%
267
 
4.9%
244
 
4.5%
236
 
4.4%
235
 
4.3%
225
 
4.2%
207
 
3.8%
1 201
 
3.7%
Other values (158) 2114
39.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3333
61.7%
Space Separator 1048
 
19.4%
Decimal Number 928
 
17.2%
Dash Punctuation 90
 
1.7%
Other Punctuation 5
 
0.1%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
338
 
10.1%
291
 
8.7%
267
 
8.0%
244
 
7.3%
236
 
7.1%
235
 
7.1%
225
 
6.8%
207
 
6.2%
161
 
4.8%
98
 
2.9%
Other values (143) 1031
30.9%
Decimal Number
ValueCountFrequency (%)
1 201
21.7%
2 127
13.7%
3 91
9.8%
5 85
9.2%
4 82
8.8%
6 74
 
8.0%
7 72
 
7.8%
8 70
 
7.5%
9 64
 
6.9%
0 62
 
6.7%
Lowercase Letter
ValueCountFrequency (%)
s 1
50.0%
k 1
50.0%
Space Separator
ValueCountFrequency (%)
1048
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 90
100.0%
Other Punctuation
ValueCountFrequency (%)
, 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3333
61.7%
Common 2071
38.3%
Latin 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
338
 
10.1%
291
 
8.7%
267
 
8.0%
244
 
7.3%
236
 
7.1%
235
 
7.1%
225
 
6.8%
207
 
6.2%
161
 
4.8%
98
 
2.9%
Other values (143) 1031
30.9%
Common
ValueCountFrequency (%)
1048
50.6%
1 201
 
9.7%
2 127
 
6.1%
3 91
 
4.4%
- 90
 
4.3%
5 85
 
4.1%
4 82
 
4.0%
6 74
 
3.6%
7 72
 
3.5%
8 70
 
3.4%
Other values (3) 131
 
6.3%
Latin
ValueCountFrequency (%)
s 1
50.0%
k 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3333
61.7%
ASCII 2073
38.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1048
50.6%
1 201
 
9.7%
2 127
 
6.1%
3 91
 
4.4%
- 90
 
4.3%
5 85
 
4.1%
4 82
 
4.0%
6 74
 
3.6%
7 72
 
3.5%
8 70
 
3.4%
Other values (5) 133
 
6.4%
Hangul
ValueCountFrequency (%)
338
 
10.1%
291
 
8.7%
267
 
8.0%
244
 
7.3%
236
 
7.1%
235
 
7.1%
225
 
6.8%
207
 
6.2%
161
 
4.8%
98
 
2.9%
Other values (143) 1031
30.9%

위도
Real number (ℝ)

Distinct196
Distinct (%)83.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.479208
Minimum37.397188
Maximum37.647808
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2023-12-12T12:15:11.983882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.397188
5-th percentile37.416977
Q137.435106
median37.476244
Q337.508844
95-th percentile37.571862
Maximum37.647808
Range0.25062047
Interquartile range (IQR)0.073738405

Descriptive statistics

Standard deviation0.050439856
Coefficient of variation (CV)0.001345809
Kurtosis0.29014234
Mean37.479208
Median Absolute Deviation (MAD)0.03843702
Skewness0.73505383
Sum8807.6139
Variance0.0025441791
MonotonicityNot monotonic
2023-12-12T12:15:12.184995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.42188034 9
 
3.8%
37.41734182 5
 
2.1%
37.41529517 3
 
1.3%
37.43939213 3
 
1.3%
37.51617107 3
 
1.3%
37.41815839 3
 
1.3%
37.60654443 3
 
1.3%
37.51756155 2
 
0.9%
37.49048495 2
 
0.9%
37.43780718 2
 
0.9%
Other values (186) 200
85.1%
ValueCountFrequency (%)
37.39718779 1
 
0.4%
37.40882787 1
 
0.4%
37.4095188 1
 
0.4%
37.41005019 1
 
0.4%
37.41041091 1
 
0.4%
37.4106277 1
 
0.4%
37.41529517 3
1.3%
37.41535963 1
 
0.4%
37.41557517 1
 
0.4%
37.41676881 1
 
0.4%
ValueCountFrequency (%)
37.64780826 1
 
0.4%
37.64208051 1
 
0.4%
37.62178225 1
 
0.4%
37.60654443 3
1.3%
37.60252293 1
 
0.4%
37.59035756 1
 
0.4%
37.58434003 1
 
0.4%
37.57803405 1
 
0.4%
37.57213586 1
 
0.4%
37.57210428 1
 
0.4%

경도
Real number (ℝ)

Distinct196
Distinct (%)83.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.56976
Minimum127.31559
Maximum127.79246
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2023-12-12T12:15:12.377133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.31559
5-th percentile127.3781
Q1127.49597
median127.58251
Q3127.63448
95-th percentile127.75734
Maximum127.79246
Range0.476862
Interquartile range (IQR)0.1385108

Descriptive statistics

Standard deviation0.1062338
Coefficient of variation (CV)0.00083275068
Kurtosis-0.33657396
Mean127.56976
Median Absolute Deviation (MAD)0.0669584
Skewness-0.16811124
Sum29978.893
Variance0.011285621
MonotonicityNot monotonic
2023-12-12T12:15:12.580418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.5944855 9
 
3.8%
127.5823651 5
 
2.1%
127.697879 3
 
1.3%
127.6493134 3
 
1.3%
127.6607433 3
 
1.3%
127.5788471 3
 
1.3%
127.3744438 3
 
1.3%
127.6062669 2
 
0.9%
127.4219336 2
 
0.9%
127.5984568 2
 
0.9%
Other values (186) 200
85.1%
ValueCountFrequency (%)
127.3155947 1
 
0.4%
127.319047 1
 
0.4%
127.3279821 1
 
0.4%
127.3472513 1
 
0.4%
127.3528494 1
 
0.4%
127.3622084 1
 
0.4%
127.3708147 1
 
0.4%
127.3744438 3
1.3%
127.3761944 1
 
0.4%
127.3763607 1
 
0.4%
ValueCountFrequency (%)
127.7924567 1
0.4%
127.7864738 1
0.4%
127.7847546 1
0.4%
127.7794596 1
0.4%
127.7746433 1
0.4%
127.770839 1
0.4%
127.7703171 1
0.4%
127.7663679 1
0.4%
127.7609454 1
0.4%
127.7598385 1
0.4%

설치상세위치구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
기타
235 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
기타 235
100.0%

Length

2023-12-12T12:15:12.762570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:15:12.864627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타 235
100.0%

가동상태구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
정상가동
235 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
정상가동 235
100.0%

Length

2023-12-12T12:15:12.970014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:15:13.067834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상가동 235
100.0%

설비용량
Real number (ℝ)

Distinct159
Distinct (%)67.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean70.829702
Minimum5
Maximum499.74
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2023-12-12T12:15:13.179040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile9.35
Q126.635
median61.56
Q399.28
95-th percentile148.8
Maximum499.74
Range494.74
Interquartile range (IQR)72.645

Descriptive statistics

Standard deviation67.635332
Coefficient of variation (CV)0.9549007
Kurtosis19.735809
Mean70.829702
Median Absolute Deviation (MAD)37.72
Skewness3.618603
Sum16644.98
Variance4574.5382
MonotonicityNot monotonic
2023-12-12T12:15:13.348251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
99.9 8
 
3.4%
98.4 7
 
3.0%
99.4 7
 
3.0%
99.6 7
 
3.0%
99.68 6
 
2.6%
18.0 5
 
2.1%
99.28 4
 
1.7%
99.18 4
 
1.7%
99.65 4
 
1.7%
9.35 3
 
1.3%
Other values (149) 180
76.6%
ValueCountFrequency (%)
5.0 1
 
0.4%
5.1 2
0.9%
5.16 1
 
0.4%
5.18 1
 
0.4%
5.4 1
 
0.4%
5.58 1
 
0.4%
6.0 1
 
0.4%
6.24 2
0.9%
7.13 1
 
0.4%
9.35 3
1.3%
ValueCountFrequency (%)
499.74 1
0.4%
499.5 1
0.4%
499.2 1
0.4%
299.7 1
0.4%
294.98 1
0.4%
199.92 1
0.4%
199.8 1
0.4%
199.29 1
0.4%
198.0 1
0.4%
173.6 1
0.4%

공급전압
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
380
216 
220
 
19

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
380 216
91.9%
220 19
 
8.1%

Length

2023-12-12T12:15:13.498816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:15:13.598029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
380 216
91.9%
220 19
 
8.1%

주파수
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
60
235 

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 (%)
60 235
100.0%

Length

2023-12-12T12:15:13.704865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:15:13.819400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
60 235
100.0%

설치연도
Real number (ℝ)

Distinct9
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2019.6553
Minimum2015
Maximum2023
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2023-12-12T12:15:13.920012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2015
5-th percentile2017
Q12018
median2020
Q32021
95-th percentile2022
Maximum2023
Range8
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.8223222
Coefficient of variation (CV)0.00090229368
Kurtosis-0.57872357
Mean2019.6553
Median Absolute Deviation (MAD)1
Skewness-0.3161179
Sum474619
Variance3.3208583
MonotonicityNot monotonic
2023-12-12T12:15:14.039973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
2021 45
19.1%
2020 44
18.7%
2018 40
17.0%
2022 36
15.3%
2019 35
14.9%
2017 19
8.1%
2023 6
 
2.6%
2016 6
 
2.6%
2015 4
 
1.7%
ValueCountFrequency (%)
2015 4
 
1.7%
2016 6
 
2.6%
2017 19
8.1%
2018 40
17.0%
2019 35
14.9%
2020 44
18.7%
2021 45
19.1%
2022 36
15.3%
2023 6
 
2.6%
ValueCountFrequency (%)
2023 6
 
2.6%
2022 36
15.3%
2021 45
19.1%
2020 44
18.7%
2019 35
14.9%
2018 40
17.0%
2017 19
8.1%
2016 6
 
2.6%
2015 4
 
1.7%
Distinct155
Distinct (%)66.0%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
Minimum2015-04-15 00:00:00
Maximum2022-10-19 00:00:00
2023-12-12T12:15:14.209050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:15:14.732518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

허가기관
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
경기도 양평군
235 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경기도 양평군 235
100.0%

Length

2023-12-12T12:15:14.886744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:15:14.996878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경기도 235
50.0%
양평군 235
50.0%

설치면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing235
Missing (%)100.0%
Memory size2.2 KiB

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2023-06-20
235 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-06-20
2nd row2023-06-20
3rd row2023-06-20
4th row2023-06-20
5th row2023-06-20

Common Values

ValueCountFrequency (%)
2023-06-20 235
100.0%

Length

2023-12-12T12:15:15.175673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:15:15.322171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-06-20 235
100.0%

Interactions

2023-12-12T12:15:07.313055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:15:05.759727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:15:06.279614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:15:06.841671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:15:07.432637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:15:05.893977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:15:06.428406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:15:06.963312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:15:07.570876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:15:06.025565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:15:06.557602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:15:07.077346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:15:07.764297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:15:06.145038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:15:06.709898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:15:07.182052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T12:15:15.415926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도설비용량공급전압설치연도
위도1.0000.7820.3550.3590.382
경도0.7821.0000.2830.0000.328
설비용량0.3550.2831.0000.3940.230
공급전압0.3590.0000.3941.0000.149
설치연도0.3820.3280.2300.1491.000
2023-12-12T12:15:15.552655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도설비용량설치연도공급전압
위도1.000-0.163-0.342-0.2250.270
경도-0.1631.0000.295-0.1290.000
설비용량-0.3420.2951.000-0.0310.281
설치연도-0.225-0.129-0.0311.0000.099
공급전압0.2700.0000.2810.0991.000

Missing values

2023-12-12T12:15:07.956990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T12:15:08.260942image/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

태양광발전시설명소재지도로명주소소재지지번주소위도경도설치상세위치구분명가동상태구분명설비용량공급전압주파수설치연도허가일자허가기관설치면적데이터기준일자
0삼성2리 태양광발전소경기도 양평군 청운면 삼성리 344-5경기도 양평군 청운면 삼성리 344-437.572104127.736499기타정상가동6.242206020222022-10-19경기도 양평군<NA>2023-06-20
1계전2리새마을회 태양광발전소경기도 양평군 개군면 오룡동길 13, 계전2리마을회관경기도 양평군 개군면 계전리 505-7 계전2리마을회관37.41536127.57231기타정상가동10.323806020232022-08-31경기도 양평군<NA>2023-06-20
2부1리새마을회 태양광발전소경기도 양평군 개군면 쇠부리길 63, 부1리마을회관경기도 양평군 개군면 부리 125-2 부1리마을회관37.435394127.551122기타정상가동5.162206020222022-08-31경기도 양평군<NA>2023-06-20
3화전1리새마을회 태양광발전소경기도 양평군 용문면 새터말길 15, 화전1리노인회관경기도 양평군 용문면 화전리 1375 화전1리노인회관37.480993127.608324기타정상가동19.43806020222022-08-31경기도 양평군<NA>2023-06-20
4세월1리 새마을회 태양광발전소경기도 양평군 강상면 세월길 139경기도 양평군 강상면 세월리 16337.437425127.493952기타정상가동29.983806020232022-08-31경기도 양평군<NA>2023-06-20
5용환 태양광발전소경기도 양평군 강하면 전의2길 29-3경기도 양평군 강하면 전수리 415-237.500074127.431564기타정상가동48.723806020232022-08-05경기도 양평군<NA>2023-06-20
6도곡3리협동 태양광발전소경기도 양평군 양평읍 미리내길 195, 도곡3리마을회관,노인회관경기도 양평군 양평읍 도곡리 123-1 도곡3리마을회관,노인회관37.474248127.527871기타정상가동6.242206020222022-08-05경기도 양평군<NA>2023-06-20
7진영발전소 1호경기도 양평군 용문면 삼성리 660경기도 양평군 용문면 삼성리 660-237.470727127.56372기타정상가동19.623806020232022-06-03경기도 양평군<NA>2023-06-20
8하나 태양광발전소경기도 양평군 지평면 곡수길 74경기도 양평군 지평면 곡수리 454-337.416769127.612668기타정상가동19.723806020222022-06-03경기도 양평군<NA>2023-06-20
9철우발전소경기도 양평군 단월면 양동로 30경기도 양평군 단월면 삼가리 283-237.516411127.662722기타정상가동53.13806020232022-05-10경기도 양평군<NA>2023-06-20
태양광발전시설명소재지도로명주소소재지지번주소위도경도설치상세위치구분명가동상태구분명설비용량공급전압주파수설치연도허가일자허가기관설치면적데이터기준일자
225김유덕 태양광발전소경기도 양평군 옥천면 신복길67번길 5경기도 양평군 옥천면 신복길67번길 537.527887127.463666기타정상가동17.963806020162016-03-18경기도 양평군<NA>2023-06-20
226하늘 태양광발전소1경기도 양평군 지평면 주령골길 67-10경기도 양평군 지평면 옥현리 1151번지37.439646127.609443기타정상가동48.33806020182015-07-21경기도 양평군<NA>2023-06-20
227우람2호기태양광 발전소경기도 양평군 용문면 마룡리 502번지 2호경기도 양평군 용문면 마룡리 502번지 2호37.499369127.606373기타정상가동61.563806020162015-12-08경기도 양평군<NA>2023-06-20
228정연철 태양광발전소경기도 양평군 청운면 용두민속장터길 12-1경기도 양평군 청운면 용두민속장터길 12-137.553569127.709593기타정상가동19.743806020162015-11-25경기도 양평군<NA>2023-06-20
229농고목장 태양광 발전소경기도 양평군 양동면 삼산리 1368번지 7호경기도 양평군 양동면 삼산리 1368번지 7호37.41005127.760945기타정상가동95.03806020152015-10-06경기도 양평군<NA>2023-06-20
230청운태양광발전소경기도 양평군 청운면 신론리 460번지 12호경기도 양평군 청운면 신론리 460번지 12호37.569883127.759839기타정상가동48.03806020152015-08-19경기도 양평군<NA>2023-06-20
231광양 태양광발전소경기도 양평군 양동면 계정샛담길 105-7경기도 양평군 양동면 계정샛담길 105-737.475805127.766368기타정상가동62.43806020162015-06-18경기도 양평군<NA>2023-06-20
232산수태양광발전소경기도 양평군 양동면 계정리 1254번지경기도 양평군 양동면 계정리 1254번지37.444968127.770317기타정상가동49.53806020152015-05-01경기도 양평군<NA>2023-06-20
233옥현(1) 태양광 발전소경기도 양평군 지평면 옥현리 908번지 5호경기도 양평군 지평면 옥현리 908번지 5호37.433675127.615915기타정상가동49.283806020162015-04-15경기도 양평군<NA>2023-06-20
234안영진 태양광발전소경기도 양평군 지평면 무왕윗마을길 12-1경기도 양평군 지평면 무왕리 506번지37.461991127.668075기타정상가동99.123806020152015-04-15경기도 양평군<NA>2023-06-20