Overview

Dataset statistics

Number of variables16
Number of observations1425
Missing cells2178
Missing cells (%)9.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory183.8 KiB
Average record size in memory132.1 B

Variable types

Text2
Numeric3
Categorical6
DateTime2
Boolean3

Dataset

Description본 데이터는 경상남도 합천군 관내 태양광발전소전기사업에 대한 인허가 및 개발행위 허가에 대한 정보로 태양광발전시설명, 소재지주소, 설비용량, 공급전압, 주파수, 설치연도, 세부용도, 허가일자, 허가기관, 설치면적, 전기사업허가여부, 개발행위허가여부, 준공여부, 사업개시일, 진행상태, 데이터기준일자 등을 제공하고 있습니다.
Author경상남도 합천군
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15113513

Alerts

세부용도 has constant value ""Constant
허가기관 has constant value ""Constant
전기사업허가여부 has constant value ""Constant
데이터기준일자 has constant value ""Constant
개발행위허가여부 is highly overall correlated with 설치연도 and 2 other fieldsHigh correlation
진행상태 is highly overall correlated with 설치연도 and 2 other fieldsHigh correlation
준공여부 is highly overall correlated with 설치연도 and 2 other fieldsHigh correlation
설비용량 is highly overall correlated with 설치면적 and 1 other fieldsHigh correlation
설치연도 is highly overall correlated with 개발행위허가여부 and 2 other fieldsHigh correlation
설치면적 is highly overall correlated with 설비용량 and 2 other fieldsHigh correlation
공급전압 is highly overall correlated with 설비용량 and 1 other fieldsHigh correlation
주파수 is highly overall correlated with 설치면적High correlation
공급전압 is highly imbalanced (80.7%)Imbalance
주파수 is highly imbalanced (97.8%)Imbalance
설치연도 has 459 (32.2%) missing valuesMissing
설치면적 has 1260 (88.4%) missing valuesMissing
사업개시일 has 459 (32.2%) missing valuesMissing

Reproduction

Analysis started2023-12-10 23:26:44.443513
Analysis finished2023-12-10 23:26:46.574241
Duration2.13 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

태양광발전시설명
Text

Distinct1372
Distinct (%)96.3%
Missing0
Missing (%)0.0%
Memory size11.3 KiB
2023-12-11T08:26:46.819247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length23
Mean length10.511579
Min length3

Characters and Unicode

Total characters14979
Distinct characters391
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

Unique1326 ?
Unique (%)93.1%

Sample

1st row애향2호 태양광발전소
2nd row애향1호 태양광발전소
3rd row예현 태양광발전소
4th row예현2 태양광발전소
5th row한광 태양광발전소
ValueCountFrequency (%)
태양광발전소 1105
39.6%
발전소 43
 
1.5%
주식회사 38
 
1.4%
1호 16
 
0.6%
2호 16
 
0.6%
태양광 10
 
0.4%
합천팔광 10
 
0.4%
재영 10
 
0.4%
3호 9
 
0.3%
합천봉산 7
 
0.3%
Other values (1347) 1528
54.7%
2023-12-11T08:26:47.264278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1367
 
9.1%
전 1365
 
9.1%
발 1355
 
9.0%
소 1348
 
9.0%
광 1305
 
8.7%
태 1283
 
8.6%
양 1279
 
8.5%
호 522
 
3.5%
1 253
 
1.7%
2 241
 
1.6%
Other values (381) 4661
31.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12509
83.5%
Space Separator 1367
 
9.1%
Decimal Number 812
 
5.4%
Uppercase Letter 100
 
0.7%
Close Punctuation 89
 
0.6%
Open Punctuation 89
 
0.6%
Lowercase Letter 10
 
0.1%
Dash Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 1365
 
10.9%
발 1355
 
10.8%
소 1348
 
10.8%
광 1305
 
10.4%
태 1283
 
10.3%
양 1279
 
10.2%
호 522
 
4.2%
주 126
 
1.0%
천 113
 
0.9%
산 110
 
0.9%
Other values (340) 3703
29.6%
Uppercase Letter
ValueCountFrequency (%)
S 14
14.0%
J 11
11.0%
H 10
 
10.0%
I 9
 
9.0%
N 8
 
8.0%
G 6
 
6.0%
P 5
 
5.0%
E 4
 
4.0%
M 4
 
4.0%
L 4
 
4.0%
Other values (10) 25
25.0%
Decimal Number
ValueCountFrequency (%)
1 253
31.2%
2 241
29.7%
3 100
 
12.3%
5 60
 
7.4%
4 58
 
7.1%
0 38
 
4.7%
6 23
 
2.8%
7 17
 
2.1%
8 13
 
1.6%
9 9
 
1.1%
Lowercase Letter
ValueCountFrequency (%)
e 4
40.0%
k 1
 
10.0%
w 1
 
10.0%
n 1
 
10.0%
r 1
 
10.0%
y 1
 
10.0%
g 1
 
10.0%
Space Separator
ValueCountFrequency (%)
1367
100.0%
Close Punctuation
ValueCountFrequency (%)
) 89
100.0%
Open Punctuation
ValueCountFrequency (%)
( 89
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12509
83.5%
Common 2360
 
15.8%
Latin 110
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 1365
 
10.9%
발 1355
 
10.8%
소 1348
 
10.8%
광 1305
 
10.4%
태 1283
 
10.3%
양 1279
 
10.2%
호 522
 
4.2%
주 126
 
1.0%
천 113
 
0.9%
산 110
 
0.9%
Other values (340) 3703
29.6%
Latin
ValueCountFrequency (%)
S 14
 
12.7%
J 11
 
10.0%
H 10
 
9.1%
I 9
 
8.2%
N 8
 
7.3%
G 6
 
5.5%
P 5
 
4.5%
e 4
 
3.6%
E 4
 
3.6%
M 4
 
3.6%
Other values (17) 35
31.8%
Common
ValueCountFrequency (%)
1367
57.9%
1 253
 
10.7%
2 241
 
10.2%
3 100
 
4.2%
) 89
 
3.8%
( 89
 
3.8%
5 60
 
2.5%
4 58
 
2.5%
0 38
 
1.6%
6 23
 
1.0%
Other values (4) 42
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12509
83.5%
ASCII 2470
 
16.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1367
55.3%
1 253
 
10.2%
2 241
 
9.8%
3 100
 
4.0%
) 89
 
3.6%
( 89
 
3.6%
5 60
 
2.4%
4 58
 
2.3%
0 38
 
1.5%
6 23
 
0.9%
Other values (31) 152
 
6.2%
Hangul
ValueCountFrequency (%)
전 1365
 
10.9%
발 1355
 
10.8%
소 1348
 
10.8%
광 1305
 
10.4%
태 1283
 
10.3%
양 1279
 
10.2%
호 522
 
4.2%
주 126
 
1.0%
천 113
 
0.9%
산 110
 
0.9%
Other values (340) 3703
29.6%

소재지주소
Text

Distinct1060
Distinct (%)74.4%
Missing0
Missing (%)0.0%
Memory size11.3 KiB
2023-12-11T08:26:47.590834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length89
Median length65
Mean length25.268772
Min length18

Characters and Unicode

Total characters36008
Distinct characters179
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

Unique845 ?
Unique (%)59.3%

Sample

1st row경상남도 합천군 삼가면 동리 41
2nd row경상남도 합천군 삼가면 동리길 41
3rd row경상남도 합천군 청덕면 가현리 459-3
4th row경상남도 합천군 청덕면 가현리 459-3
5th row경상남도 합천군 청덕면 가현리 459-3
ValueCountFrequency (%)
경상남도 1424
 
17.1%
합천군 1424
 
17.1%
묘산면 146
 
1.8%
산 137
 
1.6%
쌍백면 136
 
1.6%
봉산면 133
 
1.6%
용주면 132
 
1.6%
124
 
1.5%
초계면 113
 
1.4%
가야면 112
 
1.3%
Other values (1499) 4448
53.4%
2023-12-11T08:26:48.143421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6905
19.2%
천 1532
 
4.3%
합 1502
 
4.2%
도 1475
 
4.1%
상 1460
 
4.1%
1 1439
 
4.0%
경 1424
 
4.0%
남 1424
 
4.0%
군 1424
 
4.0%
면 1362
 
3.8%
Other values (169) 16061
44.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 20372
56.6%
Decimal Number 7247
 
20.1%
Space Separator 6905
 
19.2%
Other Punctuation 713
 
2.0%
Dash Punctuation 685
 
1.9%
Close Punctuation 43
 
0.1%
Open Punctuation 43
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
천 1532
 
7.5%
합 1502
 
7.4%
도 1475
 
7.2%
상 1460
 
7.2%
경 1424
 
7.0%
남 1424
 
7.0%
군 1424
 
7.0%
면 1362
 
6.7%
리 1212
 
5.9%
지 651
 
3.2%
Other values (154) 6906
33.9%
Decimal Number
ValueCountFrequency (%)
1 1439
19.9%
2 942
13.0%
3 809
11.2%
4 748
10.3%
5 649
9.0%
6 577
8.0%
9 549
 
7.6%
8 542
 
7.5%
7 501
 
6.9%
0 491
 
6.8%
Space Separator
ValueCountFrequency (%)
6905
100.0%
Other Punctuation
ValueCountFrequency (%)
, 713
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 685
100.0%
Close Punctuation
ValueCountFrequency (%)
) 43
100.0%
Open Punctuation
ValueCountFrequency (%)
( 43
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 20372
56.6%
Common 15636
43.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
천 1532
 
7.5%
합 1502
 
7.4%
도 1475
 
7.2%
상 1460
 
7.2%
경 1424
 
7.0%
남 1424
 
7.0%
군 1424
 
7.0%
면 1362
 
6.7%
리 1212
 
5.9%
지 651
 
3.2%
Other values (154) 6906
33.9%
Common
ValueCountFrequency (%)
6905
44.2%
1 1439
 
9.2%
2 942
 
6.0%
3 809
 
5.2%
4 748
 
4.8%
, 713
 
4.6%
- 685
 
4.4%
5 649
 
4.2%
6 577
 
3.7%
9 549
 
3.5%
Other values (5) 1620
 
10.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 20372
56.6%
ASCII 15636
43.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6905
44.2%
1 1439
 
9.2%
2 942
 
6.0%
3 809
 
5.2%
4 748
 
4.8%
, 713
 
4.6%
- 685
 
4.4%
5 649
 
4.2%
6 577
 
3.7%
9 549
 
3.5%
Other values (5) 1620
 
10.4%
Hangul
ValueCountFrequency (%)
천 1532
 
7.5%
합 1502
 
7.4%
도 1475
 
7.2%
상 1460
 
7.2%
경 1424
 
7.0%
남 1424
 
7.0%
군 1424
 
7.0%
면 1362
 
6.7%
리 1212
 
5.9%
지 651
 
3.2%
Other values (154) 6906
33.9%

설비용량
Real number (ℝ)

HIGH CORRELATION 

Distinct462
Distinct (%)32.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean168.20024
Minimum9.6
Maximum1000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.7 KiB
2023-12-11T08:26:48.334985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9.6
5-th percentile29.75
Q197.44
median99.28
Q399.9
95-th percentile599.04
Maximum1000
Range990.4
Interquartile range (IQR)2.46

Descriptive statistics

Standard deviation209.95011
Coefficient of variation (CV)1.2482153
Kurtosis8.0086559
Mean168.20024
Median Absolute Deviation (MAD)1
Skewness2.9137133
Sum239685.34
Variance44079.047
MonotonicityNot monotonic
2023-12-11T08:26:48.517104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
99.0 115
 
8.1%
99.76 67
 
4.7%
99.36 56
 
3.9%
99.9 47
 
3.3%
99.84 37
 
2.6%
99.12 34
 
2.4%
99.6 33
 
2.3%
99.96 32
 
2.2%
98.28 28
 
2.0%
99.5 27
 
1.9%
Other values (452) 949
66.6%
ValueCountFrequency (%)
9.6 1
0.1%
10.36 1
0.1%
12.0 1
0.1%
12.09 1
0.1%
13.69 1
0.1%
14.43 1
0.1%
14.8 2
0.1%
14.94 1
0.1%
15.12 2
0.1%
15.33 1
0.1%
ValueCountFrequency (%)
1000.0 2
 
0.1%
999.9 2
 
0.1%
999.72 3
0.2%
999.68 2
 
0.1%
999.6 1
 
0.1%
999.54 2
 
0.1%
999.4 3
0.2%
999.38 1
 
0.1%
999.0 6
0.4%
998.0 1
 
0.1%

공급전압
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct5
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size11.3 KiB
380
1322 
22900
 
81
220
 
10
<NA>
 
10
380+220
 
2

Length

Max length7
Median length3
Mean length3.1263158
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
380 1322
92.8%
22900 81
 
5.7%
220 10
 
0.7%
<NA> 10
 
0.7%
380+220 2
 
0.1%

Length

2023-12-11T08:26:48.683535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:26:48.814010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
380 1322
92.8%
22900 81
 
5.7%
220 10
 
0.7%
na 10
 
0.7%
380+220 2
 
0.1%

주파수
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size11.3 KiB
60
1419 
380
 
4
22900
 
1
70
 
1

Length

Max length5
Median length2
Mean length2.0049123
Min length2

Unique

Unique2 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
60 1419
99.6%
380 4
 
0.3%
22900 1
 
0.1%
70 1
 
0.1%

Length

2023-12-11T08:26:48.937271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:26:49.079108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
60 1419
99.6%
380 4
 
0.3%
22900 1
 
0.1%
70 1
 
0.1%

설치연도
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct15
Distinct (%)1.6%
Missing459
Missing (%)32.2%
Infinite0
Infinite (%)0.0%
Mean2019.8665
Minimum2008
Maximum2023
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.7 KiB
2023-12-11T08:26:49.214266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2008
5-th percentile2017
Q12019
median2020
Q32021
95-th percentile2023
Maximum2023
Range15
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.0082146
Coefficient of variation (CV)0.00099423135
Kurtosis5.3041404
Mean2019.8665
Median Absolute Deviation (MAD)1
Skewness-1.5580269
Sum1951191
Variance4.0329257
MonotonicityNot monotonic
2023-12-11T08:26:49.657200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
2021 231
16.2%
2020 217
15.2%
2019 165
 
11.6%
2022 119
 
8.4%
2018 88
 
6.2%
2017 61
 
4.3%
2023 51
 
3.6%
2015 16
 
1.1%
2014 5
 
0.4%
2013 5
 
0.4%
Other values (5) 8
 
0.6%
(Missing) 459
32.2%
ValueCountFrequency (%)
2008 1
 
0.1%
2009 3
 
0.2%
2010 2
 
0.1%
2011 1
 
0.1%
2012 1
 
0.1%
2013 5
 
0.4%
2014 5
 
0.4%
2015 16
 
1.1%
2017 61
4.3%
2018 88
6.2%
ValueCountFrequency (%)
2023 51
 
3.6%
2022 119
8.4%
2021 231
16.2%
2020 217
15.2%
2019 165
11.6%
2018 88
 
6.2%
2017 61
 
4.3%
2015 16
 
1.1%
2014 5
 
0.4%
2013 5
 
0.4%

세부용도
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.3 KiB
발전사업용
1425 

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 1425
100.0%

Length

2023-12-11T08:26:49.798938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:26:49.884611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
발전사업용 1425
100.0%

허가일자
Date

Distinct400
Distinct (%)28.1%
Missing0
Missing (%)0.0%
Memory size11.3 KiB
Minimum2007-07-12 00:00:00
Maximum2023-03-08 00:00:00
2023-12-11T08:26:49.985365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:26:50.109243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

허가기관
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.3 KiB
경상남도 합천군청
1425 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row경상남도 합천군청
2nd row경상남도 합천군청
3rd row경상남도 합천군청
4th row경상남도 합천군청
5th row경상남도 합천군청

Common Values

ValueCountFrequency (%)
경상남도 합천군청 1425
100.0%

Length

2023-12-11T08:26:50.231620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:26:50.320988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경상남도 1425
50.0%
합천군청 1425
50.0%

설치면적
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct111
Distinct (%)67.3%
Missing1260
Missing (%)88.4%
Infinite0
Infinite (%)0.0%
Mean926.58285
Minimum51.15
Maximum8372
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.7 KiB
2023-12-11T08:26:50.426482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum51.15
5-th percentile201.968
Q1458
median471.28
Q3879
95-th percentile3475
Maximum8372
Range8320.85
Interquartile range (IQR)421

Descriptive statistics

Standard deviation1261.3943
Coefficient of variation (CV)1.36134
Kurtosis16.128389
Mean926.58285
Median Absolute Deviation (MAD)53.02
Skewness3.810124
Sum152886.17
Variance1591115.6
MonotonicityNot monotonic
2023-12-11T08:26:50.552785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
469.82 9
 
0.6%
458.0 7
 
0.5%
464.0 6
 
0.4%
466.0 5
 
0.4%
465.0 4
 
0.3%
442.0 4
 
0.3%
500.0 3
 
0.2%
480.0 3
 
0.2%
464.06 3
 
0.2%
472.0 3
 
0.2%
Other values (101) 118
 
8.3%
(Missing) 1260
88.4%
ValueCountFrequency (%)
51.15 1
0.1%
91.5 1
0.1%
132.58 1
0.1%
140.0 1
0.1%
140.87 1
0.1%
143.52 1
0.1%
165.74 1
0.1%
190.9 1
0.1%
201.46 1
0.1%
204.0 1
0.1%
ValueCountFrequency (%)
8372.0 1
0.1%
7888.0 1
0.1%
6719.0 1
0.1%
5011.0 1
0.1%
4892.0 1
0.1%
4701.4 1
0.1%
4586.0 1
0.1%
4311.0 1
0.1%
3750.0 1
0.1%
2375.0 1
0.1%

전기사업허가여부
Boolean

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
True
1425 
ValueCountFrequency (%)
True 1425
100.0%
2023-12-11T08:26:50.702390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

개발행위허가여부
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
True
1038 
False
387 
ValueCountFrequency (%)
True 1038
72.8%
False 387
 
27.2%
2023-12-11T08:26:50.773855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

준공여부
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
True
974 
False
451 
ValueCountFrequency (%)
True 974
68.4%
False 451
31.6%
2023-12-11T08:26:50.859666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

사업개시일
Date

MISSING 

Distinct461
Distinct (%)47.7%
Missing459
Missing (%)32.2%
Memory size11.3 KiB
Minimum2008-05-27 00:00:00
Maximum2023-04-14 00:00:00
2023-12-11T08:26:50.968664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:26:51.115733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

진행상태
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size11.3 KiB
사업개시
974 
인허가
387 
공사진행
 
64

Length

Max length4
Median length4
Mean length3.7284211
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사업개시 974
68.4%
인허가 387
 
27.2%
공사진행 64
 
4.5%

Length

2023-12-11T08:26:51.277941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:26:51.393865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사업개시 974
68.4%
인허가 387
 
27.2%
공사진행 64
 
4.5%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.3 KiB
2023-03-31
1425 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-03-31
2nd row2023-03-31
3rd row2023-03-31
4th row2023-03-31
5th row2023-03-31

Common Values

ValueCountFrequency (%)
2023-03-31 1425
100.0%

Length

2023-12-11T08:26:51.503443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:26:51.620923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-03-31 1425
100.0%

Interactions

2023-12-11T08:26:45.716395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:26:45.166163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:26:45.426943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:26:45.857097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:26:45.260751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:26:45.519917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:26:45.987576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:26:45.352177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:26:45.629638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T08:26:51.709624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설비용량공급전압주파수설치연도설치면적개발행위허가여부준공여부진행상태
설비용량1.0000.6910.2230.4610.7360.0620.0690.098
공급전압0.6911.0000.2880.2400.8170.0480.0340.021
주파수0.2230.2881.0000.000NaN0.1170.1030.047
설치연도0.4610.2400.0001.000NaNNaNNaNNaN
설치면적0.7360.817NaNNaN1.0000.0960.0000.000
개발행위허가여부0.0620.0480.117NaN0.0961.0000.9871.000
준공여부0.0690.0340.103NaN0.0000.9871.0001.000
진행상태0.0980.0210.047NaN0.0001.0001.0001.000
2023-12-11T08:26:51.876288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
개발행위허가여부공급전압진행상태준공여부주파수
개발행위허가여부1.0000.0321.0000.8960.077
공급전압0.0321.0000.0190.0220.116
진행상태1.0000.0191.0001.0000.045
준공여부0.8960.0221.0001.0000.068
주파수0.0770.1160.0450.0681.000
2023-12-11T08:26:51.984357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설비용량설치연도설치면적공급전압주파수개발행위허가여부준공여부진행상태
설비용량1.0000.0030.5780.5230.1440.0620.0690.043
설치연도0.0031.000NaN0.1660.0001.0001.0001.000
설치면적0.578NaN1.0000.8721.0000.1000.0000.000
공급전압0.5230.1660.8721.0000.1160.0320.0220.019
주파수0.1440.0001.0000.1161.0000.0770.0680.045
개발행위허가여부0.0621.0000.1000.0320.0771.0000.8961.000
준공여부0.0691.0000.0000.0220.0680.8961.0001.000
진행상태0.0431.0000.0000.0190.0451.0001.0001.000

Missing values

2023-12-11T08:26:46.130728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T08:26:46.368798image/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.
2023-12-11T08:26:46.511054image/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

태양광발전시설명소재지주소설비용량공급전압주파수설치연도세부용도허가일자허가기관설치면적전기사업허가여부개발행위허가여부준공여부사업개시일진행상태데이터기준일자
0애향2호 태양광발전소경상남도 합천군 삼가면 동리 4146.4138060<NA>발전사업용2023-03-08경상남도 합천군청<NA>YNN<NA>인허가2023-03-31
1애향1호 태양광발전소경상남도 합천군 삼가면 동리길 4199.9638060<NA>발전사업용2023-03-08경상남도 합천군청<NA>YNN<NA>인허가2023-03-31
2예현 태양광발전소경상남도 합천군 청덕면 가현리 459-399.7638060<NA>발전사업용2023-03-08경상남도 합천군청<NA>YNN<NA>인허가2023-03-31
3예현2 태양광발전소경상남도 합천군 청덕면 가현리 459-349.8838060<NA>발전사업용2023-03-08경상남도 합천군청<NA>YNN<NA>인허가2023-03-31
4한광 태양광발전소경상남도 합천군 청덕면 가현리 459-390.4838060<NA>발전사업용2023-03-08경상남도 합천군청<NA>YNN<NA>인허가2023-03-31
5합천 태양광발전소경상남도 합천군 청덕면 가현리 459-385.2638060<NA>발전사업용2023-03-08경상남도 합천군청<NA>YNN<NA>인허가2023-03-31
6가현 태양광발전소경상남도 합천군 청덕면 가현리 459-395.1238060<NA>발전사업용2023-03-08경상남도 합천군청<NA>YNN<NA>인허가2023-03-31
7돌진 태양광발전소경상남도 합천군 청덕면 가현리 459-395.1238060<NA>발전사업용2023-03-08경상남도 합천군청<NA>YNN<NA>인허가2023-03-31
8아현 태양광발전소경상남도 합천군 청덕면 가현리 459-399.7638060<NA>발전사업용2023-03-08경상남도 합천군청<NA>YNN<NA>인허가2023-03-31
9지현 태양광발전소경상남도 합천군 청덕면 가현리 459-399.7638060<NA>발전사업용2023-03-08경상남도 합천군청<NA>YNN<NA>인허가2023-03-31
태양광발전시설명소재지주소설비용량공급전압주파수설치연도세부용도허가일자허가기관설치면적전기사업허가여부개발행위허가여부준공여부사업개시일진행상태데이터기준일자
1415(주)용주태양광발전경상남도 합천군 용주면 방곡리 산 13번지200.02290060<NA>발전사업용2009-01-16경상남도 합천군청<NA>YYY<NA>사업개시2023-03-31
1416(주)서재태양광발전경상남도 합천군 용주면 방곡리 산 13번지 7호200.02290060<NA>발전사업용2009-03-17경상남도 합천군청<NA>YYY<NA>사업개시2023-03-31
1417(주)명신태양광발전경상남도 합천군 용주면 방곡리 산 13번지 8호200.022900602009발전사업용2009-03-17경상남도 합천군청<NA>YYY2009-12-01사업개시2023-03-31
1418(주)건호태양광발전경상남도 합천군 용주면 방곡리 산 13번지 9호200.02290060<NA>발전사업용2009-03-17경상남도 합천군청<NA>YYY<NA>사업개시2023-03-31
1419(주)태영태양광발전경상남도 합천군 용주면 방곡리 산 13번지 5호200.02290060<NA>발전사업용2009-03-17경상남도 합천군청<NA>YYY<NA>사업개시2023-03-31
1420(주)영완태양광발전경상남도 합천군 용주면 방곡리 산 13번지 6호200.02290060<NA>발전사업용2009-01-16경상남도 합천군청<NA>YYY<NA>사업개시2023-03-31
1421(주)삼정태양광발전소(합천)경상남도 합천군 용주면 방곡리 568-4850.0<NA>602010발전사업용2008-02-19경상남도 합천군청<NA>YYY2010-04-17사업개시2023-03-31
1422에스케이태양광발전(주)경상남도 합천군 용주면 가호리 산 79번지1000.02290060<NA>발전사업용2008-03-04경상남도 합천군청<NA>YYY<NA>사업개시2023-03-31
1423푸른빛태양광발전소경상남도 합천군 용주면 방곡리 568번지 4호850.022900602010발전사업용2008-02-18경상남도 합천군청<NA>YYY2010-04-14사업개시2023-03-31
1424뉴라이트에너지(주)경상남도 합천군 율곡면 낙민리 산 273번지 외 1필지(산271)998.022900602009발전사업용2007-07-12경상남도 합천군청<NA>YYY2009-08-25사업개시2023-03-31