Overview

Dataset statistics

Number of variables11
Number of observations1492
Missing cells1736
Missing cells (%)10.6%
Duplicate rows1
Duplicate rows (%)0.1%
Total size in memory132.7 KiB
Average record size in memory91.1 B

Variable types

DateTime2
Text3
Categorical4
Numeric2

Dataset

Description충청남도 부여군에 위치한 신재생에너지(전기사업) 발전 허가 현황(발전소명, 설비용량, 공급전압, 주파수, 지목, 주소, 허가일 등)
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=385&beforeMenuCd=DOM_000000201001001000&publicdatapk=15033955

Alerts

주파수(Hz) has constant value ""Constant
데이터기준일자 has constant value ""Constant
Dataset has 1 (0.1%) duplicate rowsDuplicates
지목 is highly imbalanced (51.2%)Imbalance
사업개시일 has 244 (16.4%) missing valuesMissing
소재지지번주소 has 208 (13.9%) missing valuesMissing
소재지도로명주소 has 1284 (86.1%) missing valuesMissing

Reproduction

Analysis started2024-01-09 20:16:02.458224
Analysis finished2024-01-09 20:16:03.642821
Duration1.18 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

허가일자
Date

Distinct418
Distinct (%)28.0%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
Minimum2007-11-21 00:00:00
Maximum2023-08-30 00:00:00
2024-01-10T05:16:03.703749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:16:03.824357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

사업개시일
Date

MISSING 

Distinct400
Distinct (%)32.1%
Missing244
Missing (%)16.4%
Memory size11.8 KiB
Minimum2007-12-26 00:00:00
Maximum2022-12-12 00:00:00
2024-01-10T05:16:03.944400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:16:04.103922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

태양광발전시설명
Text

Distinct1457
Distinct (%)97.7%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
2024-01-10T05:16:04.477408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length24
Mean length9.3672922
Min length2

Characters and Unicode

Total characters13976
Distinct characters414
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1426 ?
Unique (%)95.6%

Sample

1st row(주)우진솔라파워부여 태양광발전소
2nd row(주)우진솔라파워후산 태양광발전소
3rd row장암 태양광발전소
4th row사산리 태양광발전소
5th row석성 태양광발전소
ValueCountFrequency (%)
태양광발전소 577
 
26.9%
발전소 11
 
0.5%
태양광 11
 
0.5%
가곡 7
 
0.3%
행복 6
 
0.3%
반학 6
 
0.3%
청포 4
 
0.2%
희망 4
 
0.2%
부여 3
 
0.1%
제3태양광발전소 3
 
0.1%
Other values (1464) 1515
70.6%
2024-01-10T05:16:04.969145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
소 1244
 
8.9%
양 1242
 
8.9%
광 1232
 
8.8%
태 1230
 
8.8%
전 1225
 
8.8%
발 1219
 
8.7%
656
 
4.7%
호 454
 
3.2%
지 285
 
2.0%
1 262
 
1.9%
Other values (404) 4927
35.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12187
87.2%
Decimal Number 986
 
7.1%
Space Separator 656
 
4.7%
Uppercase Letter 50
 
0.4%
Close Punctuation 27
 
0.2%
Open Punctuation 27
 
0.2%
Lowercase Letter 27
 
0.2%
Other Symbol 12
 
0.1%
Other Punctuation 2
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
소 1244
 
10.2%
양 1242
 
10.2%
광 1232
 
10.1%
태 1230
 
10.1%
전 1225
 
10.1%
발 1219
 
10.0%
호 454
 
3.7%
지 285
 
2.3%
에 216
 
1.8%
사 188
 
1.5%
Other values (351) 3652
30.0%
Uppercase Letter
ValueCountFrequency (%)
K 9
18.0%
S 8
16.0%
Y 5
10.0%
J 5
10.0%
T 4
8.0%
C 3
 
6.0%
A 2
 
4.0%
B 2
 
4.0%
D 2
 
4.0%
E 2
 
4.0%
Other values (8) 8
16.0%
Lowercase Letter
ValueCountFrequency (%)
n 3
11.1%
e 3
11.1%
k 3
11.1%
r 3
11.1%
o 2
 
7.4%
i 2
 
7.4%
a 1
 
3.7%
l 1
 
3.7%
c 1
 
3.7%
t 1
 
3.7%
Other values (7) 7
25.9%
Decimal Number
ValueCountFrequency (%)
1 262
26.6%
2 227
23.0%
3 136
13.8%
4 82
 
8.3%
5 55
 
5.6%
6 54
 
5.5%
7 47
 
4.8%
8 45
 
4.6%
9 40
 
4.1%
0 38
 
3.9%
Other Punctuation
ValueCountFrequency (%)
: 1
50.0%
& 1
50.0%
Space Separator
ValueCountFrequency (%)
656
100.0%
Close Punctuation
ValueCountFrequency (%)
) 27
100.0%
Open Punctuation
ValueCountFrequency (%)
( 27
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 12
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12199
87.3%
Common 1700
 
12.2%
Latin 77
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
소 1244
 
10.2%
양 1242
 
10.2%
광 1232
 
10.1%
태 1230
 
10.1%
전 1225
 
10.0%
발 1219
 
10.0%
호 454
 
3.7%
지 285
 
2.3%
에 216
 
1.8%
사 188
 
1.5%
Other values (352) 3664
30.0%
Latin
ValueCountFrequency (%)
K 9
 
11.7%
S 8
 
10.4%
Y 5
 
6.5%
J 5
 
6.5%
T 4
 
5.2%
n 3
 
3.9%
e 3
 
3.9%
C 3
 
3.9%
k 3
 
3.9%
r 3
 
3.9%
Other values (25) 31
40.3%
Common
ValueCountFrequency (%)
656
38.6%
1 262
 
15.4%
2 227
 
13.4%
3 136
 
8.0%
4 82
 
4.8%
5 55
 
3.2%
6 54
 
3.2%
7 47
 
2.8%
8 45
 
2.6%
9 40
 
2.4%
Other values (7) 96
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12187
87.2%
ASCII 1777
 
12.7%
None 12
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
소 1244
 
10.2%
양 1242
 
10.2%
광 1232
 
10.1%
태 1230
 
10.1%
전 1225
 
10.1%
발 1219
 
10.0%
호 454
 
3.7%
지 285
 
2.3%
에 216
 
1.8%
사 188
 
1.5%
Other values (351) 3652
30.0%
ASCII
ValueCountFrequency (%)
656
36.9%
1 262
 
14.7%
2 227
 
12.8%
3 136
 
7.7%
4 82
 
4.6%
5 55
 
3.1%
6 54
 
3.0%
7 47
 
2.6%
8 45
 
2.5%
9 40
 
2.3%
Other values (42) 173
 
9.7%
None
ValueCountFrequency (%)
㈜ 12
100.0%

소재지지번주소
Text

MISSING 

Distinct926
Distinct (%)72.1%
Missing208
Missing (%)13.9%
Memory size11.8 KiB
2024-01-10T05:16:05.262082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length74
Median length60
Mean length26.595016
Min length18

Characters and Unicode

Total characters34148
Distinct characters137
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

Unique809 ?
Unique (%)63.0%

Sample

1st row충청남도 부여군 세도면 화수리 9-5 ,91-1,91-3
2nd row충청남도 부여군 세도면 간대리 262번지 1호 외3필지
3rd row충청남도 부여군 임천면 칠산리 730번지 7호
4th row충청남도 부여군 세도면 수고리 768번지 3호
5th row충청남도 부여군 세도면 청송리 35번지 43호
ValueCountFrequency (%)
충청남도 1284
 
15.7%
부여군 1284
 
15.7%
세도면 410
 
5.0%
산 347
 
4.3%
사산리 257
 
3.1%
206
 
2.5%
1호 157
 
1.9%
초촌면 132
 
1.6%
임천면 130
 
1.6%
석성면 98
 
1.2%
Other values (1037) 3854
47.2%
2024-01-10T05:16:05.730557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6875
20.1%
도 1694
 
5.0%
충 1376
 
4.0%
청 1329
 
3.9%
1 1328
 
3.9%
부 1321
 
3.9%
여 1321
 
3.9%
남 1304
 
3.8%
군 1286
 
3.8%
리 1281
 
3.8%
Other values (127) 15033
44.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 19827
58.1%
Space Separator 6875
 
20.1%
Decimal Number 6352
 
18.6%
Dash Punctuation 656
 
1.9%
Other Punctuation 430
 
1.3%
Close Punctuation 4
 
< 0.1%
Open Punctuation 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 1694
 
8.5%
충 1376
 
6.9%
청 1329
 
6.7%
부 1321
 
6.7%
여 1321
 
6.7%
남 1304
 
6.6%
군 1286
 
6.5%
리 1281
 
6.5%
면 1247
 
6.3%
지 1115
 
5.6%
Other values (111) 6553
33.1%
Decimal Number
ValueCountFrequency (%)
1 1328
20.9%
4 800
12.6%
2 766
12.1%
3 741
11.7%
5 669
10.5%
6 548
8.6%
8 426
 
6.7%
7 371
 
5.8%
9 353
 
5.6%
0 350
 
5.5%
Other Punctuation
ValueCountFrequency (%)
, 429
99.8%
. 1
 
0.2%
Space Separator
ValueCountFrequency (%)
6875
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 656
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 19827
58.1%
Common 14321
41.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 1694
 
8.5%
충 1376
 
6.9%
청 1329
 
6.7%
부 1321
 
6.7%
여 1321
 
6.7%
남 1304
 
6.6%
군 1286
 
6.5%
리 1281
 
6.5%
면 1247
 
6.3%
지 1115
 
5.6%
Other values (111) 6553
33.1%
Common
ValueCountFrequency (%)
6875
48.0%
1 1328
 
9.3%
4 800
 
5.6%
2 766
 
5.3%
3 741
 
5.2%
5 669
 
4.7%
- 656
 
4.6%
6 548
 
3.8%
, 429
 
3.0%
8 426
 
3.0%
Other values (6) 1083
 
7.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 19827
58.1%
ASCII 14321
41.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6875
48.0%
1 1328
 
9.3%
4 800
 
5.6%
2 766
 
5.3%
3 741
 
5.2%
5 669
 
4.7%
- 656
 
4.6%
6 548
 
3.8%
, 429
 
3.0%
8 426
 
3.0%
Other values (6) 1083
 
7.6%
Hangul
ValueCountFrequency (%)
도 1694
 
8.5%
충 1376
 
6.9%
청 1329
 
6.7%
부 1321
 
6.7%
여 1321
 
6.7%
남 1304
 
6.6%
군 1286
 
6.5%
리 1281
 
6.5%
면 1247
 
6.3%
지 1115
 
5.6%
Other values (111) 6553
33.1%

소재지도로명주소
Text

MISSING 

Distinct154
Distinct (%)74.0%
Missing1284
Missing (%)86.1%
Memory size11.8 KiB
2024-01-10T05:16:05.996448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length33
Mean length23.336538
Min length18

Characters and Unicode

Total characters4854
Distinct characters136
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

Unique121 ?
Unique (%)58.2%

Sample

1st row충청남도 부여군 세도면 세도로 86-54
2nd row충청남도 부여군 장암면 북고로 4-6
3rd row충청남도 부여군 세도면 의자로 315-30
4th row충청남도 부여군 석성면 왕릉로 371, 한국수자원공사충남중부권관리단
5th row충청남도 부여군 세도면 세도로409번길 97
ValueCountFrequency (%)
충청남도 208
19.8%
부여군 208
19.8%
임천면 52
 
5.0%
세도면 42
 
4.0%
은산면 17
 
1.6%
충화면 16
 
1.5%
장암면 14
 
1.3%
만가로 11
 
1.0%
석성면 11
 
1.0%
초촌면 11
 
1.0%
Other values (250) 460
43.8%
2024-01-10T05:16:06.395112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
842
17.3%
도 260
 
5.4%
충 247
 
5.1%
남 224
 
4.6%
부 222
 
4.6%
여 213
 
4.4%
청 213
 
4.4%
군 208
 
4.3%
로 208
 
4.3%
면 204
 
4.2%
Other values (126) 2013
41.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2978
61.4%
Decimal Number 910
 
18.7%
Space Separator 842
 
17.3%
Dash Punctuation 113
 
2.3%
Other Punctuation 7
 
0.1%
Close Punctuation 2
 
< 0.1%
Open Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 260
 
8.7%
충 247
 
8.3%
남 224
 
7.5%
부 222
 
7.5%
여 213
 
7.2%
청 213
 
7.2%
군 208
 
7.0%
로 208
 
7.0%
면 204
 
6.9%
길 94
 
3.2%
Other values (111) 885
29.7%
Decimal Number
ValueCountFrequency (%)
1 166
18.2%
3 116
12.7%
2 111
12.2%
4 93
10.2%
8 86
9.5%
7 85
9.3%
9 77
8.5%
6 70
7.7%
5 59
 
6.5%
0 47
 
5.2%
Space Separator
ValueCountFrequency (%)
842
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 113
100.0%
Other Punctuation
ValueCountFrequency (%)
, 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2978
61.4%
Common 1876
38.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 260
 
8.7%
충 247
 
8.3%
남 224
 
7.5%
부 222
 
7.5%
여 213
 
7.2%
청 213
 
7.2%
군 208
 
7.0%
로 208
 
7.0%
면 204
 
6.9%
길 94
 
3.2%
Other values (111) 885
29.7%
Common
ValueCountFrequency (%)
842
44.9%
1 166
 
8.8%
3 116
 
6.2%
- 113
 
6.0%
2 111
 
5.9%
4 93
 
5.0%
8 86
 
4.6%
7 85
 
4.5%
9 77
 
4.1%
6 70
 
3.7%
Other values (5) 117
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2978
61.4%
ASCII 1876
38.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
842
44.9%
1 166
 
8.8%
3 116
 
6.2%
- 113
 
6.0%
2 111
 
5.9%
4 93
 
5.0%
8 86
 
4.6%
7 85
 
4.5%
9 77
 
4.1%
6 70
 
3.7%
Other values (5) 117
 
6.2%
Hangul
ValueCountFrequency (%)
도 260
 
8.7%
충 247
 
8.3%
남 224
 
7.5%
부 222
 
7.5%
여 213
 
7.2%
청 213
 
7.2%
군 208
 
7.0%
로 208
 
7.0%
면 204
 
6.9%
길 94
 
3.2%
Other values (111) 885
29.7%

설치위치
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
토지
1284 
건축물
208 

Length

Max length3
Median length2
Mean length2.1394102
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
토지 1284
86.1%
건축물 208
 
13.9%

Length

2024-01-10T05:16:06.545873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:16:06.659768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
토지 1284
86.1%
건축물 208
 
13.9%

설비용량(kW)
Real number (ℝ)

Distinct322
Distinct (%)21.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean183.9113
Minimum9.6
Maximum999.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.2 KiB
2024-01-10T05:16:06.789367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9.6
5-th percentile42.6855
Q198.55
median99.16
Q399.84
95-th percentile921.876
Maximum999.9
Range990.3
Interquartile range (IQR)1.29

Descriptive statistics

Standard deviation225.58529
Coefficient of variation (CV)1.2265983
Kurtosis6.1013398
Mean183.9113
Median Absolute Deviation (MAD)0.61
Skewness2.6224863
Sum274395.66
Variance50888.722
MonotonicityNot monotonic
2024-01-10T05:16:06.964048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
99.0 304
 
20.4%
97.2 61
 
4.1%
99.75 54
 
3.6%
99.2 48
 
3.2%
99.4 43
 
2.9%
98.55 42
 
2.8%
99.84 42
 
2.8%
99.9 39
 
2.6%
99.36 37
 
2.5%
99.6 37
 
2.5%
Other values (312) 785
52.6%
ValueCountFrequency (%)
9.6 1
 
0.1%
10.01 1
 
0.1%
12.0 2
0.1%
12.6 1
 
0.1%
13.0 1
 
0.1%
14.85 1
 
0.1%
15.0 3
0.2%
15.12 1
 
0.1%
15.68 1
 
0.1%
17.94 1
 
0.1%
ValueCountFrequency (%)
999.9 2
 
0.1%
999.75 1
 
0.1%
999.6 2
 
0.1%
999.18 1
 
0.1%
999.0 3
 
0.2%
998.64 3
 
0.2%
998.4 3
 
0.2%
997.92 9
0.6%
997.56 15
1.0%
997.5 1
 
0.1%

공급전압(V)
Real number (ℝ)

Distinct6
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1103.9946
Minimum220
Maximum22990
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.2 KiB
2024-01-10T05:16:07.108140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum220
5-th percentile380
Q1380
median380
Q3380
95-th percentile380
Maximum22990
Range22770
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3975.5584
Coefficient of variation (CV)3.6010668
Kurtosis26.208064
Mean1103.9946
Median Absolute Deviation (MAD)0
Skewness5.3078004
Sum1647160
Variance15805065
MonotonicityNot monotonic
2024-01-10T05:16:07.192994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
380 1437
96.3%
22900 47
 
3.2%
220 5
 
0.3%
360 1
 
0.1%
350 1
 
0.1%
22990 1
 
0.1%
ValueCountFrequency (%)
220 5
 
0.3%
350 1
 
0.1%
360 1
 
0.1%
380 1437
96.3%
22900 47
 
3.2%
22990 1
 
0.1%
ValueCountFrequency (%)
22990 1
 
0.1%
22900 47
 
3.2%
380 1437
96.3%
360 1
 
0.1%
350 1
 
0.1%
220 5
 
0.3%

주파수(Hz)
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
60
1492 

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 1492
100.0%

Length

2024-01-10T05:16:07.290963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:16:07.370091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
60 1492
100.0%

지목
Categorical

IMBALANCE 

Distinct45
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
임야
631 
답
330 
임야, 전
233 
전
81 
임야, 답
 
53
Other values (40)
164 

Length

Max length13
Median length12
Mean length2.5643432
Min length1

Unique

Unique18 ?
Unique (%)1.2%

Sample

1st row임야, 전
2nd row임야, 전
3rd row대지
4th row임야, 전
5th row임야, 전

Common Values

ValueCountFrequency (%)
임야 631
42.3%
답 330
22.1%
임야, 전 233
 
15.6%
전 81
 
5.4%
임야, 답 53
 
3.6%
대지 18
 
1.2%
목장용지 15
 
1.0%
전, 임야 14
 
0.9%
공장용지 12
 
0.8%
대 10
 
0.7%
Other values (35) 95
 
6.4%

Length

2024-01-10T05:16:07.484475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
임야 956
50.9%
답 430
22.9%
전 370
 
19.7%
목장용지 22
 
1.2%
대지 20
 
1.1%
대 17
 
0.9%
잡종지 15
 
0.8%
공장용지 12
 
0.6%
창고용지 9
 
0.5%
과수원 6
 
0.3%
Other values (14) 20
 
1.1%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
2023-09-30
1492 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-09-30
2nd row2023-09-30
3rd row2023-09-30
4th row2023-09-30
5th row2023-09-30

Common Values

ValueCountFrequency (%)
2023-09-30 1492
100.0%

Length

2024-01-10T05:16:07.632411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:16:07.727259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-09-30 1492
100.0%

Interactions

2024-01-10T05:16:03.139391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:16:02.999783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:16:03.211134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:16:03.071324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T05:16:07.778200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설치위치설비용량(kW)공급전압(V)지목
설치위치1.0000.4940.0520.333
설비용량(kW)0.4941.0000.7220.000
공급전압(V)0.0520.7221.0000.100
지목0.3330.0000.1001.000
2024-01-10T05:16:07.851824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설치위치지목
설치위치1.0000.274
지목0.2741.000
2024-01-10T05:16:07.923706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설비용량(kW)공급전압(V)설치위치지목
설비용량(kW)1.0000.3030.3790.000
공급전압(V)0.3031.0000.0330.083
설치위치0.3790.0331.0000.274
지목0.0000.0830.2741.000

Missing values

2024-01-10T05:16:03.339359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T05:16:03.486603image/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.
2024-01-10T05:16:03.592387image/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

허가일자사업개시일태양광발전시설명소재지지번주소소재지도로명주소설치위치설비용량(kW)공급전압(V)주파수(Hz)지목데이터기준일자
02007-11-212012-12-26(주)우진솔라파워부여 태양광발전소충청남도 부여군 세도면 화수리 9-5 ,91-1,91-3<NA>토지486.038060임야, 전2023-09-30
12007-11-222012-12-26(주)우진솔라파워후산 태양광발전소<NA>충청남도 부여군 세도면 세도로 86-54건축물480.038060임야, 전2023-09-30
22007-12-262007-12-26장암 태양광발전소<NA>충청남도 부여군 장암면 북고로 4-6건축물920.042290060대지2023-09-30
32008-05-092010-06-07사산리 태양광발전소<NA>충청남도 부여군 세도면 의자로 315-30건축물990.038060임야, 전2023-09-30
42008-05-272008-05-27석성 태양광발전소<NA>충청남도 부여군 석성면 왕릉로 371, 한국수자원공사충남중부권관리단건축물176.038060임야, 전2023-09-30
52008-11-042009-03-23어부동 태양광발전소<NA>충청남도 부여군 세도면 세도로409번길 97건축물99.038060임야, 전2023-09-30
62008-12-292009-09-02오송 태양광발전소<NA>충청남도 부여군 세도면 세도로409번길 97건축물99.038060임야, 전2023-09-30
72009-02-102010-06-16해솔 태양광발반소<NA>충청남도 부여군 홍산면 홍내로 246, 태양광시설건축물198.038060임야, 전2023-09-30
82009-02-102010-06-16한울 태양광발전소<NA>충청남도 부여군 홍산면 홍내로 246, 태양광시설건축물198.038060임야, 전2023-09-30
92009-05-072010-08-10더존 태양광발전소<NA>충청남도 부여군 장암면 덕림로398번길 76-9건축물198.438060임야, 전2023-09-30
허가일자사업개시일태양광발전시설명소재지지번주소소재지도로명주소설치위치설비용량(kW)공급전압(V)주파수(Hz)지목데이터기준일자
14822022-04-18<NA>부사9호 태양광발전소충청남도 부여군 세도면 사산리 657 , 658<NA>토지99.7538060임야, 전2023-09-30
14832022-04-18<NA>더이상 태양광발전소충청남도 부여군 세도면 사산리 657 ,658<NA>토지99.7538060임야, 전2023-09-30
14842022-04-18<NA>대전 태양광발전소충청남도 부여군 세도면 사산리 659-1<NA>토지99.7538060임야2023-09-30
14852022-04-18<NA>유림 태양광발전소충청남도 부여군 세도면 사산리 659 ,659-1<NA>토지99.7538060임야, 전2023-09-30
14862022-04-18<NA>은호 태양광발전소충청남도 부여군 세도면 사산리 659 ,659-1<NA>토지99.7538060대지2023-09-30
14872022-04-18<NA>부사8호 태양광발전소충청남도 부여군 세도면 사산리 656 ,657.658<NA>토지99.7538060임야, 전2023-09-30
14882022-04-18<NA>쏠피아1호 태양광발전소충청남도 부여군 세도면 사산리 656 ,657,658<NA>토지99.7538060임야, 전2023-09-30
14892022-04-18<NA>승민 태양광발전소충청남도 부여군 세도면 사산리 656 ,657,658<NA>토지99.7538060임야, 전2023-09-30
14902022-04-18<NA>부사7호 태양광발전소충청남도 부여군 세도면 사산리 656 ,657,658<NA>토지99.7538060임야, 전2023-09-30
14912023-08-30<NA>(유)헬씨팜 태양광발전소충청남도 부여군 장암면 지토리 29-4 , 29-7<NA>토지910.82290060임야, 전2023-09-30

Duplicate rows

Most frequently occurring

허가일자사업개시일태양광발전시설명소재지지번주소소재지도로명주소설치위치설비용량(kW)공급전압(V)주파수(Hz)지목데이터기준일자# duplicates
02014-11-042015-05-21능산<NA>충청남도 부여군 부여읍 신암로 19-21건축물99.238060답2023-09-302