Overview

Dataset statistics

Number of variables12
Number of observations710
Missing cells831
Missing cells (%)9.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory68.8 KiB
Average record size in memory99.2 B

Variable types

Numeric3
Text4
DateTime2
Categorical3

Dataset

Description경상남도 함양군의 태양광 발전사업 허가현황으로 발전소명, 소재지, 허가일, 사업개시일, 개시용량, 데이터기준일자로 구성되어 있으며, 갱신주기는 1년 단위입니다.
Author경상남도 함양군
URLhttps://www.data.go.kr/data/15034512/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
허가용량(kW) is highly overall correlated with 개시용량(kW)High correlation
개시용량(kW) is highly overall correlated with 허가용량(kW)High correlation
대상 is highly imbalanced (62.6%)Imbalance
사업개시일 has 414 (58.3%) missing valuesMissing
개시용량(kW) has 414 (58.3%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 20:48:20.299309
Analysis finished2023-12-12 20:48:22.193442
Duration1.89 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct710
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean355.5
Minimum1
Maximum710
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.4 KiB
2023-12-13T05:48:22.264287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile36.45
Q1178.25
median355.5
Q3532.75
95-th percentile674.55
Maximum710
Range709
Interquartile range (IQR)354.5

Descriptive statistics

Standard deviation205.10363
Coefficient of variation (CV)0.57694411
Kurtosis-1.2
Mean355.5
Median Absolute Deviation (MAD)177.5
Skewness0
Sum252405
Variance42067.5
MonotonicityStrictly increasing
2023-12-13T05:48:22.417185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
446 1
 
0.1%
470 1
 
0.1%
471 1
 
0.1%
472 1
 
0.1%
473 1
 
0.1%
474 1
 
0.1%
475 1
 
0.1%
476 1
 
0.1%
477 1
 
0.1%
Other values (700) 700
98.6%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
710 1
0.1%
709 1
0.1%
708 1
0.1%
707 1
0.1%
706 1
0.1%
705 1
0.1%
704 1
0.1%
703 1
0.1%
702 1
0.1%
701 1
0.1%

발전소명
Text

Distinct697
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Memory size5.7 KiB
2023-12-13T05:48:22.836854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length21
Mean length10.321127
Min length4

Characters and Unicode

Total characters7328
Distinct characters310
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique684 ?
Unique (%)96.3%

Sample

1st row상림 태양광발전소
2nd row도북 태양광발전소
3rd row백운세일태양광발전소
4th row개평태양광발전소
5th row㈜화산태양광발전소
ValueCountFrequency (%)
태양광발전소 602
43.8%
2호 8
 
0.6%
수상태양광발전소 7
 
0.5%
1호 6
 
0.4%
3호 4
 
0.3%
주식회사 4
 
0.3%
발전소 4
 
0.3%
태양광발전 3
 
0.2%
에이스 3
 
0.2%
도림 3
 
0.2%
Other values (695) 732
53.2%
2023-12-13T05:48:23.454995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
양 722
 
9.9%
태 703
 
9.6%
광 702
 
9.6%
전 699
 
9.5%
소 687
 
9.4%
발 683
 
9.3%
666
 
9.1%
호 222
 
3.0%
1 143
 
2.0%
2 109
 
1.5%
Other values (300) 1992
27.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6228
85.0%
Space Separator 666
 
9.1%
Decimal Number 366
 
5.0%
Uppercase Letter 58
 
0.8%
Other Symbol 4
 
0.1%
Close Punctuation 3
 
< 0.1%
Open Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
양 722
11.6%
태 703
11.3%
광 702
11.3%
전 699
11.2%
소 687
11.0%
발 683
11.0%
호 222
 
3.6%
곡 59
 
0.9%
산 49
 
0.8%
지 41
 
0.7%
Other values (268) 1661
26.7%
Uppercase Letter
ValueCountFrequency (%)
E 10
17.2%
N 6
10.3%
Y 4
 
6.9%
T 4
 
6.9%
R 4
 
6.9%
G 4
 
6.9%
O 4
 
6.9%
J 4
 
6.9%
M 3
 
5.2%
H 3
 
5.2%
Other values (8) 12
20.7%
Decimal Number
ValueCountFrequency (%)
1 143
39.1%
2 109
29.8%
3 42
 
11.5%
4 22
 
6.0%
5 19
 
5.2%
6 10
 
2.7%
7 7
 
1.9%
8 6
 
1.6%
9 4
 
1.1%
0 4
 
1.1%
Space Separator
ValueCountFrequency (%)
666
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6232
85.0%
Common 1038
 
14.2%
Latin 58
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
양 722
11.6%
태 703
11.3%
광 702
11.3%
전 699
11.2%
소 687
11.0%
발 683
11.0%
호 222
 
3.6%
곡 59
 
0.9%
산 49
 
0.8%
지 41
 
0.7%
Other values (269) 1665
26.7%
Latin
ValueCountFrequency (%)
E 10
17.2%
N 6
10.3%
Y 4
 
6.9%
T 4
 
6.9%
R 4
 
6.9%
G 4
 
6.9%
O 4
 
6.9%
J 4
 
6.9%
M 3
 
5.2%
H 3
 
5.2%
Other values (8) 12
20.7%
Common
ValueCountFrequency (%)
666
64.2%
1 143
 
13.8%
2 109
 
10.5%
3 42
 
4.0%
4 22
 
2.1%
5 19
 
1.8%
6 10
 
1.0%
7 7
 
0.7%
8 6
 
0.6%
9 4
 
0.4%
Other values (3) 10
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6228
85.0%
ASCII 1096
 
15.0%
None 4
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
양 722
11.6%
태 703
11.3%
광 702
11.3%
전 699
11.2%
소 687
11.0%
발 683
11.0%
호 222
 
3.6%
곡 59
 
0.9%
산 49
 
0.8%
지 41
 
0.7%
Other values (268) 1661
26.7%
ASCII
ValueCountFrequency (%)
666
60.8%
1 143
 
13.0%
2 109
 
9.9%
3 42
 
3.8%
4 22
 
2.0%
5 19
 
1.7%
E 10
 
0.9%
6 10
 
0.9%
7 7
 
0.6%
8 6
 
0.5%
Other values (21) 62
 
5.7%
None
ValueCountFrequency (%)
㈜ 4
100.0%

소재지
Text

Distinct541
Distinct (%)76.2%
Missing0
Missing (%)0.0%
Memory size5.7 KiB
2023-12-13T05:48:23.747092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length84
Median length71
Mean length19.525352
Min length11

Characters and Unicode

Total characters13863
Distinct characters125
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique440 ?
Unique (%)62.0%

Sample

1st row함양군 휴천면 송전리 산233-2
2nd row함양군 수동면 도북리 807
3rd row함양군 백전면 운산리 811
4th row함양군 지곡면 개평리 233-2
5th row함양군 수동면 화산리 산 148-20+527-1 527-3
ValueCountFrequency (%)
함양군 710
24.9%
안의면 165
 
5.8%
수동면 108
 
3.8%
서상면 80
 
2.8%
함양읍 62
 
2.2%
휴천면 54
 
1.9%
귀곡리 52
 
1.8%
지곡면 50
 
1.8%
유림면 48
 
1.7%
서하면 47
 
1.6%
Other values (656) 1475
51.7%
2023-12-13T05:48:24.236535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2143
 
15.5%
양 786
 
5.7%
1 782
 
5.6%
함 780
 
5.6%
군 710
 
5.1%
리 652
 
4.7%
면 645
 
4.7%
- 612
 
4.4%
2 494
 
3.6%
+ 446
 
3.2%
Other values (115) 5813
41.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6636
47.9%
Decimal Number 4026
29.0%
Space Separator 2143
 
15.5%
Dash Punctuation 612
 
4.4%
Math Symbol 446
 
3.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
양 786
 
11.8%
함 780
 
11.8%
군 710
 
10.7%
리 652
 
9.8%
면 645
 
9.7%
산 264
 
4.0%
곡 210
 
3.2%
안 171
 
2.6%
의 166
 
2.5%
서 136
 
2.0%
Other values (102) 2116
31.9%
Decimal Number
ValueCountFrequency (%)
1 782
19.4%
2 494
12.3%
3 414
10.3%
4 387
9.6%
7 353
8.8%
8 352
8.7%
6 336
8.3%
5 326
8.1%
9 306
 
7.6%
0 276
 
6.9%
Space Separator
ValueCountFrequency (%)
2143
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 612
100.0%
Math Symbol
ValueCountFrequency (%)
+ 446
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7227
52.1%
Hangul 6636
47.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
양 786
 
11.8%
함 780
 
11.8%
군 710
 
10.7%
리 652
 
9.8%
면 645
 
9.7%
산 264
 
4.0%
곡 210
 
3.2%
안 171
 
2.6%
의 166
 
2.5%
서 136
 
2.0%
Other values (102) 2116
31.9%
Common
ValueCountFrequency (%)
2143
29.7%
1 782
 
10.8%
- 612
 
8.5%
2 494
 
6.8%
+ 446
 
6.2%
3 414
 
5.7%
4 387
 
5.4%
7 353
 
4.9%
8 352
 
4.9%
6 336
 
4.6%
Other values (3) 908
12.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7227
52.1%
Hangul 6636
47.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2143
29.7%
1 782
 
10.8%
- 612
 
8.5%
2 494
 
6.8%
+ 446
 
6.2%
3 414
 
5.7%
4 387
 
5.4%
7 353
 
4.9%
8 352
 
4.9%
6 336
 
4.6%
Other values (3) 908
12.6%
Hangul
ValueCountFrequency (%)
양 786
 
11.8%
함 780
 
11.8%
군 710
 
10.7%
리 652
 
9.8%
면 645
 
9.7%
산 264
 
4.0%
곡 210
 
3.2%
안 171
 
2.6%
의 166
 
2.5%
서 136
 
2.0%
Other values (102) 2116
31.9%

허가일
Date

Distinct245
Distinct (%)34.5%
Missing0
Missing (%)0.0%
Memory size5.7 KiB
Minimum2007-12-20 00:00:00
Maximum2021-12-06 00:00:00
2023-12-13T05:48:24.399719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:48:24.539985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

사업준비기간
Text

Distinct258
Distinct (%)36.3%
Missing0
Missing (%)0.0%
Memory size5.7 KiB
2023-12-13T05:48:24.800489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length21
Mean length20.997183
Min length20

Characters and Unicode

Total characters14908
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique135 ?
Unique (%)19.0%

Sample

1st row2008-01-24~2009-06-30
2nd row2009-03-04~2009-12-31
3rd row2007-12-20~2008-07-31
4th row2009-03-04~2009-12-31
5th row2009-06-25~2010-06-26
ValueCountFrequency (%)
2017-12-04~2020-12-03 37
 
5.2%
2021-06-21~2022-12-20 30
 
4.2%
2018-09-27~2020-03-26 24
 
3.4%
2020-10-05~2022-04-04 17
 
2.4%
2020-08-18~2022-02-17 17
 
2.4%
2020-08-24~2022-02-23 14
 
2.0%
2018-11-20~2021-11-19 10
 
1.4%
2018-05-14~2021-05-13 10
 
1.4%
2020-10-12~2022-04-11 10
 
1.4%
2019-04-03~2021-11-30 10
 
1.4%
Other values (248) 531
74.8%
2023-12-13T05:48:25.198851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3549
23.8%
2 3454
23.2%
- 2841
19.1%
1 1936
13.0%
~ 707
 
4.7%
3 465
 
3.1%
8 459
 
3.1%
9 416
 
2.8%
7 332
 
2.2%
4 289
 
1.9%
Other values (2) 460
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 11360
76.2%
Dash Punctuation 2841
 
19.1%
Math Symbol 707
 
4.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3549
31.2%
2 3454
30.4%
1 1936
17.0%
3 465
 
4.1%
8 459
 
4.0%
9 416
 
3.7%
7 332
 
2.9%
4 289
 
2.5%
6 271
 
2.4%
5 189
 
1.7%
Dash Punctuation
ValueCountFrequency (%)
- 2841
100.0%
Math Symbol
ValueCountFrequency (%)
~ 707
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 14908
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3549
23.8%
2 3454
23.2%
- 2841
19.1%
1 1936
13.0%
~ 707
 
4.7%
3 465
 
3.1%
8 459
 
3.1%
9 416
 
2.8%
7 332
 
2.2%
4 289
 
1.9%
Other values (2) 460
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14908
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3549
23.8%
2 3454
23.2%
- 2841
19.1%
1 1936
13.0%
~ 707
 
4.7%
3 465
 
3.1%
8 459
 
3.1%
9 416
 
2.8%
7 332
 
2.2%
4 289
 
1.9%
Other values (2) 460
 
3.1%

허가용량(kW)
Real number (ℝ)

HIGH CORRELATION 

Distinct240
Distinct (%)33.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean221.85882
Minimum10
Maximum3000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.4 KiB
2023-12-13T05:48:25.369993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile31.674
Q199
median99.615
Q3191.52
95-th percentile998.64
Maximum3000
Range2990
Interquartile range (IQR)92.52

Descriptive statistics

Standard deviation358.58721
Coefficient of variation (CV)1.6162856
Kurtosis18.668525
Mean221.85882
Median Absolute Deviation (MAD)0.615
Skewness3.9704904
Sum157519.77
Variance128584.79
MonotonicityNot monotonic
2023-12-13T05:48:25.565877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
99.96 59
 
8.3%
99.9 53
 
7.5%
99.6 39
 
5.5%
99.28 33
 
4.6%
99.36 28
 
3.9%
99.615 26
 
3.7%
99.0 18
 
2.5%
97.2 14
 
2.0%
97.92 14
 
2.0%
99.63 13
 
1.8%
Other values (230) 413
58.2%
ValueCountFrequency (%)
10.0 2
0.3%
10.53 1
0.1%
12.6 1
0.1%
13.14 1
0.1%
14.8 1
0.1%
14.98 1
0.1%
15.0 1
0.1%
18.675 1
0.1%
19.575 1
0.1%
19.58 1
0.1%
ValueCountFrequency (%)
3000.0 1
 
0.1%
2800.0 1
 
0.1%
2494.8 1
 
0.1%
2318.0 1
 
0.1%
2284.8 1
 
0.1%
2003.4 1
 
0.1%
2000.0 2
0.3%
1996.8 1
 
0.1%
1958.4 1
 
0.1%
1500.0 4
0.6%

지목
Text

Distinct61
Distinct (%)8.6%
Missing3
Missing (%)0.4%
Memory size5.7 KiB
2023-12-13T05:48:25.864066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length1
Mean length1.4992928
Min length1

Characters and Unicode

Total characters1060
Distinct characters20
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique31 ?
Unique (%)4.4%

Sample

1st row전+답
2nd row답
3rd row임+과
4th row임
5th row임
ValueCountFrequency (%)
답 156
21.8%
전 132
18.5%
임 106
14.8%
과 60
 
8.4%
목 33
 
4.6%
대 24
 
3.4%
창 24
 
3.4%
공 23
 
3.2%
임+전 18
 
2.5%
과+답 18
 
2.5%
Other values (48) 120
16.8%
2023-12-13T05:48:26.215632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
답 230
21.7%
전 196
18.5%
임 172
16.2%
+ 168
15.8%
과 100
9.4%
목 53
 
5.0%
대 31
 
2.9%
잡 29
 
2.7%
창 28
 
2.6%
공 23
 
2.2%
Other values (10) 30
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 885
83.5%
Math Symbol 168
 
15.8%
Space Separator 7
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
답 230
26.0%
전 196
22.1%
임 172
19.4%
과 100
11.3%
목 53
 
6.0%
대 31
 
3.5%
잡 29
 
3.3%
창 28
 
3.2%
공 23
 
2.6%
유 5
 
0.6%
Other values (8) 18
 
2.0%
Math Symbol
ValueCountFrequency (%)
+ 168
100.0%
Space Separator
ValueCountFrequency (%)
7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 885
83.5%
Common 175
 
16.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
답 230
26.0%
전 196
22.1%
임 172
19.4%
과 100
11.3%
목 53
 
6.0%
대 31
 
3.5%
잡 29
 
3.3%
창 28
 
3.2%
공 23
 
2.6%
유 5
 
0.6%
Other values (8) 18
 
2.0%
Common
ValueCountFrequency (%)
+ 168
96.0%
7
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 885
83.5%
ASCII 175
 
16.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
답 230
26.0%
전 196
22.1%
임 172
19.4%
과 100
11.3%
목 53
 
6.0%
대 31
 
3.5%
잡 29
 
3.3%
창 28
 
3.2%
공 23
 
2.6%
유 5
 
0.6%
Other values (8) 18
 
2.0%
ASCII
ValueCountFrequency (%)
+ 168
96.0%
7
 
4.0%

대상
Categorical

IMBALANCE 

Distinct20
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size5.7 KiB
토지
473 
건물
147 
건물(축사)
 
39
건물(곤충사육사)
 
10
건물(공장)
 
10
Other values (15)
 
31

Length

Max length9
Median length2
Mean length2.5802817
Min length2

Unique

Unique9 ?
Unique (%)1.3%

Sample

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

Common Values

ValueCountFrequency (%)
토지 473
66.6%
건물 147
 
20.7%
건물(축사) 39
 
5.5%
건물(곤충사육사) 10
 
1.4%
건물(공장) 10
 
1.4%
건물(버섯재배사) 6
 
0.8%
건물(창고) 6
 
0.8%
건물(작물재배사) 3
 
0.4%
건물(주택) 3
 
0.4%
건물(양어장) 2
 
0.3%
Other values (10) 11
 
1.5%

Length

2023-12-13T05:48:26.388108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
토지 475
66.4%
건물 149
 
20.8%
건물(축사 39
 
5.5%
건물(곤충사육사 10
 
1.4%
건물(공장 10
 
1.4%
건물(창고 7
 
1.0%
건물(버섯재배사 6
 
0.8%
건물(작물재배사 3
 
0.4%
건물(주택 3
 
0.4%
및 2
 
0.3%
Other values (10) 11
 
1.5%

사업개시일
Date

MISSING 

Distinct189
Distinct (%)63.9%
Missing414
Missing (%)58.3%
Memory size5.7 KiB
Minimum2008-10-01 00:00:00
Maximum2021-11-11 00:00:00
2023-12-13T05:48:26.504402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:48:26.631167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

개시용량(kW)
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct140
Distinct (%)47.3%
Missing414
Missing (%)58.3%
Infinite0
Infinite (%)0.0%
Mean159.7447
Minimum10.8
Maximum2004.48
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.4 KiB
2023-12-13T05:48:26.758396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10.8
5-th percentile28.98
Q198.5225
median99.36
Q399.96
95-th percentile454.4775
Maximum2004.48
Range1993.68
Interquartile range (IQR)1.4375

Descriptive statistics

Standard deviation214.97553
Coefficient of variation (CV)1.3457444
Kurtosis30.687591
Mean159.7447
Median Absolute Deviation (MAD)0.81
Skewness5.0183086
Sum47284.43
Variance46214.477
MonotonicityNot monotonic
2023-12-13T05:48:27.195210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
99.36 34
 
4.8%
99.9 17
 
2.4%
99.96 16
 
2.3%
99.0 12
 
1.7%
99.88 9
 
1.3%
99.6 7
 
1.0%
99.16 7
 
1.0%
97.2 6
 
0.8%
98.79 6
 
0.8%
99.28 6
 
0.8%
Other values (130) 176
24.8%
(Missing) 414
58.3%
ValueCountFrequency (%)
10.8 1
0.1%
12.6 1
0.1%
13.14 1
0.1%
15.0 1
0.1%
18.675 1
0.1%
18.92 1
0.1%
19.55 1
0.1%
19.8 1
0.1%
19.84 1
0.1%
23.92 1
0.1%
ValueCountFrequency (%)
2004.48 1
0.1%
1495.78 1
0.1%
1491.84 1
0.1%
999.745 2
0.3%
997.92 1
0.1%
996.3 1
0.1%
983.63 1
0.1%
931.41 1
0.1%
499.32 1
0.1%
499.2 1
0.1%

사업상태
Categorical

Distinct4
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size5.7 KiB
사업개시
295 
사업취소
184 
사업준비
181 
공사계획신고
50 

Length

Max length6
Median length4
Mean length4.1408451
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사업개시 295
41.5%
사업취소 184
25.9%
사업준비 181
25.5%
공사계획신고 50
 
7.0%

Length

2023-12-13T05:48:27.366481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:48:27.501390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사업개시 295
41.5%
사업취소 184
25.9%
사업준비 181
25.5%
공사계획신고 50
 
7.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size5.7 KiB
2021-12-08
710 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021-12-08
2nd row2021-12-08
3rd row2021-12-08
4th row2021-12-08
5th row2021-12-08

Common Values

ValueCountFrequency (%)
2021-12-08 710
100.0%

Length

2023-12-13T05:48:27.636501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:48:27.748037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021-12-08 710
100.0%

Interactions

2023-12-13T05:48:21.501434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:48:20.865016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:48:21.211637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:48:21.610363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:48:20.989617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:48:21.308331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:48:21.709220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:48:21.099691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:48:21.399840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T05:48:27.836007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번허가용량(kW)지목대상개시용량(kW)사업상태
연번1.0000.3810.7090.6950.2610.629
허가용량(kW)0.3811.0000.5830.5140.9650.235
지목0.7090.5831.0000.8770.8800.566
대상0.6950.5140.8771.0000.4370.633
개시용량(kW)0.2610.9650.8800.4371.0000.000
사업상태0.6290.2350.5660.6330.0001.000
2023-12-13T05:48:27.942230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사업상태대상
사업상태1.0000.344
대상0.3441.000
2023-12-13T05:48:28.027797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번허가용량(kW)개시용량(kW)대상사업상태
연번1.000-0.223-0.1460.2910.429
허가용량(kW)-0.2231.0000.8830.2290.151
개시용량(kW)-0.1460.8831.0000.1840.000
대상0.2910.2290.1841.0000.344
사업상태0.4290.1510.0000.3441.000

Missing values

2023-12-13T05:48:21.866102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T05:48:22.023750image/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.
2023-12-13T05:48:22.137252image/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

연번발전소명소재지허가일사업준비기간허가용량(kW)지목대상사업개시일개시용량(kW)사업상태데이터기준일자
01상림 태양광발전소함양군 휴천면 송전리 산233-22008-01-242008-01-24~2009-06-30200.0<NA>토지<NA><NA>사업취소2021-12-08
12도북 태양광발전소함양군 수동면 도북리 8072009-03-052009-03-04~2009-12-31200.0<NA>토지<NA><NA>사업취소2021-12-08
23백운세일태양광발전소함양군 백전면 운산리 8112007-12-202007-12-20~2008-07-311500.0전+답토지2008-10-011495.78사업개시2021-12-08
34개평태양광발전소함양군 지곡면 개평리 233-22009-03-052009-03-04~2009-12-3130.0답토지2009-05-0429.04사업개시2021-12-08
45㈜화산태양광발전소함양군 수동면 화산리 산 148-20+527-1 527-32009-06-262009-06-25~2010-06-26200.0임+과토지2009-12-21194.4사업개시2021-12-08
56함양행복1태양광발전소함양군 수동면 도북리 산21-2호외 6필지2010-06-072010-06-07~2013-06-06997.92임토지<NA><NA>사업취소2021-12-08
67㈜제스코핫워터 함양태양광발전소함양군 서하면 봉전리 산66번지2010-12-212010-12-21~2011-12-201498.68임토지<NA><NA>사업취소2021-12-08
78㈜제스코핫워터 함양제2태양광발전소함양군 서하면 봉전리 산66번지2012-09-122010-09-12~2013-09-111500.0임토지<NA><NA>사업취소2021-12-08
89명성태양광발전소함양군 백전면 양백리 10172013-01-242013-01-24~2015-01-2378.2전토지2015-01-1285.0사업개시2021-12-08
910광영태양광발전소함양군 안의면 석천리 39+43-92013-07-042013-07-04~2016-07-0399.84답토지2016-06-2099.96사업개시2021-12-08
연번발전소명소재지허가일사업준비기간허가용량(kW)지목대상사업개시일개시용량(kW)사업상태데이터기준일자
700701국계1호 태양광발전소함양군 유림면 국계리 4242021-10-252021-10-25~2023-04-2499.96전토지<NA><NA>사업준비2021-12-08
701702함양군 농업기술센터 영농형 태양광발전소함양군 함양읍 이은리 1139-99+1139-132+732021-10-252021-10-25~2023-04-2448.96답토지<NA><NA>사업준비2021-12-08
702703성대 태양광발전소함양군 유림면 손곡리 1114+11152021-10-252021-10-25~2023-04-2499.51전건물(버섯재배사)<NA><NA>공사계획신고2021-12-08
703704하늘빛2 태양광발전소함양군 안의면 황곡리 926-12021-10-252021-10-25~2023-04-2490.72과건물(창고)<NA><NA>사업준비2021-12-08
704705태왕 태양광발전소함양군 유림면 장항리 3772021-10-252021-10-25~2023-04-2499.84목건물(축사)<NA><NA>공사계획신고2021-12-08
705706양일 태양광발전소 2호함양군 함양읍 곰실2길 32-32021-11-032021-11-03~2023-05-0299.96목건물(축사)<NA><NA>사업준비2021-12-08
706707해야5호 태양광발전소함양군 수동면 우명하교로 962021-11-222021-11-22~2023-05-2199.44잡건물(작물재배사)<NA><NA>사업준비2021-12-08
707708해야5호 태양광발전소함양군 수동면 우명하교로 962021-11-222021-11-22~2023-05-2199.44잡건물(작물재배사)<NA><NA>사업준비2021-12-08
708709지연 태양광발전소함양군 수동면 우명하교로 962021-11-222021-11-22~2023-05-2199.44잡건물(작물재배사)<NA><NA>사업준비2021-12-08
709710근하 태양광발전소함양군 안의면 황마로 61-442021-12-062021-12-06~2023-06-05998.2<NA>건물<NA><NA>사업준비2021-12-08