Overview

Dataset statistics

Number of variables8
Number of observations2133
Missing cells2674
Missing cells (%)15.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory137.6 KiB
Average record size in memory66.1 B

Variable types

Numeric1
Text5
Categorical1
Unsupported1

Dataset

Description해남군 전기발전사업(태양광) 허가현황의 발전소명, 허가일자, 사업개시일, 설비용량, 설치장소, 사업상태 등의 항목을 제공합니다.
Author전라남도 해남군
URLhttps://www.data.go.kr/data/15048407/fileData.do

Alerts

순번 is highly overall correlated with 사업상태High correlation
사업상태 is highly overall correlated with 순번High correlation
사업개시일 has 541 (25.4%) missing valuesMissing
비고 has 2133 (100.0%) missing valuesMissing
순번 has unique valuesUnique
비고 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-12 22:28:12.577007
Analysis finished2023-12-12 22:28:13.325830
Duration0.75 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct2133
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1067
Minimum1
Maximum2133
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.9 KiB
2023-12-13T07:28:13.396147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile107.6
Q1534
median1067
Q31600
95-th percentile2026.4
Maximum2133
Range2132
Interquartile range (IQR)1066

Descriptive statistics

Standard deviation615.88838
Coefficient of variation (CV)0.57721498
Kurtosis-1.2
Mean1067
Median Absolute Deviation (MAD)533
Skewness0
Sum2275911
Variance379318.5
MonotonicityStrictly increasing
2023-12-13T07:28:13.544309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
1419 1
 
< 0.1%
1433 1
 
< 0.1%
1432 1
 
< 0.1%
1431 1
 
< 0.1%
1430 1
 
< 0.1%
1429 1
 
< 0.1%
1428 1
 
< 0.1%
1427 1
 
< 0.1%
1426 1
 
< 0.1%
Other values (2123) 2123
99.5%
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 (%)
2133 1
< 0.1%
2132 1
< 0.1%
2131 1
< 0.1%
2130 1
< 0.1%
2129 1
< 0.1%
2128 1
< 0.1%
2127 1
< 0.1%
2126 1
< 0.1%
2125 1
< 0.1%
2124 1
< 0.1%
Distinct344
Distinct (%)16.1%
Missing0
Missing (%)0.0%
Memory size16.8 KiB
2023-12-13T07:28:13.864324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length10
Mean length10.042194
Min length10

Characters and Unicode

Total characters21420
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique91 ?
Unique (%)4.3%

Sample

1st row2004-05-18
2nd row2005-11-15
3rd row2006-10-11
4th row2007-02-07
5th row2007-02-07
ValueCountFrequency (%)
2014-08-18 51
 
2.4%
2013-12-23 45
 
2.1%
2013-10-13 37
 
1.7%
2017-06-16 34
 
1.6%
2019-06-20 32
 
1.5%
2017-06-26 30
 
1.4%
2014-08-20 28
 
1.3%
2018-09-12 27
 
1.3%
2014-08-14 26
 
1.2%
2017-01-19 24
 
1.1%
Other values (334) 1799
84.3%
2023-12-13T07:28:14.346004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 4853
22.7%
- 4284
20.0%
1 3756
17.5%
2 3726
17.4%
7 919
 
4.3%
8 896
 
4.2%
6 713
 
3.3%
4 676
 
3.2%
3 653
 
3.0%
9 558
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 17136
80.0%
Dash Punctuation 4284
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4853
28.3%
1 3756
21.9%
2 3726
21.7%
7 919
 
5.4%
8 896
 
5.2%
6 713
 
4.2%
4 676
 
3.9%
3 653
 
3.8%
9 558
 
3.3%
5 386
 
2.3%
Dash Punctuation
ValueCountFrequency (%)
- 4284
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 21420
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4853
22.7%
- 4284
20.0%
1 3756
17.5%
2 3726
17.4%
7 919
 
4.3%
8 896
 
4.2%
6 713
 
3.3%
4 676
 
3.2%
3 653
 
3.0%
9 558
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 21420
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4853
22.7%
- 4284
20.0%
1 3756
17.5%
2 3726
17.4%
7 919
 
4.3%
8 896
 
4.2%
6 713
 
3.3%
4 676
 
3.2%
3 653
 
3.0%
9 558
 
2.6%

사업개시일
Text

MISSING 

Distinct368
Distinct (%)23.1%
Missing541
Missing (%)25.4%
Memory size16.8 KiB
2023-12-13T07:28:14.709425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length10
Mean length10.028894
Min length4

Characters and Unicode

Total characters15966
Distinct characters17
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

Unique135 ?
Unique (%)8.5%

Sample

1st row2005-12-20
2nd row2006-09-24
3rd row2010-07-01
4th row2007-09-06
5th row2007-09-06
ValueCountFrequency (%)
2015-03-16 37
 
2.3%
2017-01-11 36
 
2.3%
2020-10-06 29
 
1.8%
2013-11-28 28
 
1.8%
2021-01-18 28
 
1.8%
2017-08-21 26
 
1.6%
2015-04-20 25
 
1.6%
2014-08-21 24
 
1.5%
2013-04-08 24
 
1.5%
2014-12-23 22
 
1.4%
Other values (358) 1313
82.5%
2023-12-13T07:28:15.151406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3734
23.4%
2 3198
20.0%
- 3192
20.0%
1 2881
18.0%
8 601
 
3.8%
4 502
 
3.1%
3 466
 
2.9%
7 413
 
2.6%
9 367
 
2.3%
5 318
 
2.0%
Other values (7) 294
 
1.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12768
80.0%
Dash Punctuation 3192
 
20.0%
Other Letter 4
 
< 0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3734
29.2%
2 3198
25.0%
1 2881
22.6%
8 601
 
4.7%
4 502
 
3.9%
3 466
 
3.6%
7 413
 
3.2%
9 367
 
2.9%
5 318
 
2.5%
6 288
 
2.3%
Other Letter
ValueCountFrequency (%)
1
25.0%
1
25.0%
1
25.0%
1
25.0%
Dash Punctuation
ValueCountFrequency (%)
- 3192
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 15962
> 99.9%
Hangul 4
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3734
23.4%
2 3198
20.0%
- 3192
20.0%
1 2881
18.0%
8 601
 
3.8%
4 502
 
3.1%
3 466
 
2.9%
7 413
 
2.6%
9 367
 
2.3%
5 318
 
2.0%
Other values (3) 290
 
1.8%
Hangul
ValueCountFrequency (%)
1
25.0%
1
25.0%
1
25.0%
1
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 15962
> 99.9%
Hangul 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3734
23.4%
2 3198
20.0%
- 3192
20.0%
1 2881
18.0%
8 601
 
3.8%
4 502
 
3.1%
3 466
 
2.9%
7 413
 
2.6%
9 367
 
2.3%
5 318
 
2.0%
Other values (3) 290
 
1.8%
Hangul
ValueCountFrequency (%)
1
25.0%
1
25.0%
1
25.0%
1
25.0%
Distinct2031
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Memory size16.8 KiB
2023-12-13T07:28:15.398001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length27
Mean length11.661041
Min length2

Characters and Unicode

Total characters24873
Distinct characters440
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1949 ?
Unique (%)91.4%

Sample

1st row월드컬처에너지(주)
2nd row해광에너지 태양광발전소
3rd row신성솔라에너지 태양광발전소신성솔라에너지㈜
4th row선힐에너지원 태양광발전소
5th row일광에너지 태양광발전소(유)일광에너지
ValueCountFrequency (%)
태양광발전소 1590
37.6%
태양광 28
 
0.7%
서상리 26
 
0.6%
한자리 21
 
0.5%
해남완도지사 16
 
0.4%
수상태양광발전소한국농어촌공사 15
 
0.4%
대산리 14
 
0.3%
주식회사 12
 
0.3%
태양광발전소주식회사 11
 
0.3%
해남 11
 
0.3%
Other values (2151) 2489
58.8%
2023-12-13T07:28:15.797170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2124
 
8.5%
2099
 
8.4%
2075
 
8.3%
2072
 
8.3%
2039
 
8.2%
2011
 
8.1%
2007
 
8.1%
888
 
3.6%
362
 
1.5%
360
 
1.4%
Other values (430) 8836
35.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 21046
84.6%
Space Separator 2124
 
8.5%
Decimal Number 986
 
4.0%
Other Symbol 191
 
0.8%
Open Punctuation 184
 
0.7%
Close Punctuation 184
 
0.7%
Uppercase Letter 107
 
0.4%
Lowercase Letter 39
 
0.2%
Dash Punctuation 10
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2099
 
10.0%
2075
 
9.9%
2072
 
9.8%
2039
 
9.7%
2011
 
9.6%
2007
 
9.5%
888
 
4.2%
362
 
1.7%
360
 
1.7%
279
 
1.3%
Other values (382) 6854
32.6%
Uppercase Letter
ValueCountFrequency (%)
S 26
24.3%
J 17
15.9%
H 12
11.2%
N 7
 
6.5%
B 6
 
5.6%
D 5
 
4.7%
M 5
 
4.7%
A 4
 
3.7%
K 4
 
3.7%
G 3
 
2.8%
Other values (8) 18
16.8%
Lowercase Letter
ValueCountFrequency (%)
r 6
15.4%
o 6
15.4%
a 5
12.8%
e 4
10.3%
l 4
10.3%
y 3
7.7%
n 3
7.7%
g 2
 
5.1%
s 2
 
5.1%
c 1
 
2.6%
Other values (3) 3
7.7%
Decimal Number
ValueCountFrequency (%)
1 283
28.7%
2 255
25.9%
3 124
12.6%
4 71
 
7.2%
5 66
 
6.7%
6 48
 
4.9%
7 40
 
4.1%
0 37
 
3.8%
8 36
 
3.7%
9 26
 
2.6%
Space Separator
ValueCountFrequency (%)
2124
100.0%
Other Symbol
ValueCountFrequency (%)
191
100.0%
Open Punctuation
ValueCountFrequency (%)
( 184
100.0%
Close Punctuation
ValueCountFrequency (%)
) 184
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 1
100.0%
Letter Number
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 21237
85.4%
Common 3489
 
14.0%
Latin 147
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2099
 
9.9%
2075
 
9.8%
2072
 
9.8%
2039
 
9.6%
2011
 
9.5%
2007
 
9.5%
888
 
4.2%
362
 
1.7%
360
 
1.7%
279
 
1.3%
Other values (383) 7045
33.2%
Latin
ValueCountFrequency (%)
S 26
17.7%
J 17
 
11.6%
H 12
 
8.2%
N 7
 
4.8%
r 6
 
4.1%
o 6
 
4.1%
B 6
 
4.1%
D 5
 
3.4%
a 5
 
3.4%
M 5
 
3.4%
Other values (22) 52
35.4%
Common
ValueCountFrequency (%)
2124
60.9%
1 283
 
8.1%
2 255
 
7.3%
( 184
 
5.3%
) 184
 
5.3%
3 124
 
3.6%
4 71
 
2.0%
5 66
 
1.9%
6 48
 
1.4%
7 40
 
1.1%
Other values (5) 110
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 21046
84.6%
ASCII 3635
 
14.6%
None 191
 
0.8%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2124
58.4%
1 283
 
7.8%
2 255
 
7.0%
( 184
 
5.1%
) 184
 
5.1%
3 124
 
3.4%
4 71
 
2.0%
5 66
 
1.8%
6 48
 
1.3%
7 40
 
1.1%
Other values (36) 256
 
7.0%
Hangul
ValueCountFrequency (%)
2099
 
10.0%
2075
 
9.9%
2072
 
9.8%
2039
 
9.7%
2011
 
9.6%
2007
 
9.5%
888
 
4.2%
362
 
1.7%
360
 
1.7%
279
 
1.3%
Other values (382) 6854
32.6%
None
ValueCountFrequency (%)
191
100.0%
Number Forms
ValueCountFrequency (%)
1
100.0%
Distinct2102
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Memory size16.8 KiB
2023-12-13T07:28:16.264561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length107
Median length84
Mean length23.320206
Min length11

Characters and Unicode

Total characters49742
Distinct characters195
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2076 ?
Unique (%)97.3%

Sample

1st row해남군 삼산면 송정리 430-3
2nd row해남군 계곡면 황죽리 421-15
3rd row해남군 화산면 평호리 321-2
4th row해남군 황산면 외입리 246-3
5th row해남군 황산면 외입리 246-8
ValueCountFrequency (%)
해남군 2100
 
20.1%
황산면 458
 
4.4%
문내면 359
 
3.4%
221
 
2.1%
송지면 189
 
1.8%
현산면 162
 
1.5%
화산면 149
 
1.4%
예락리 137
 
1.3%
건물 131
 
1.3%
계곡면 119
 
1.1%
Other values (3356) 6436
61.5%
2023-12-13T07:28:16.787258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8330
 
16.7%
1 2866
 
5.8%
- 2630
 
5.3%
2220
 
4.5%
2214
 
4.5%
2152
 
4.3%
2100
 
4.2%
2032
 
4.1%
2 1809
 
3.6%
3 1643
 
3.3%
Other values (185) 21746
43.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 21296
42.8%
Decimal Number 14067
28.3%
Space Separator 8330
 
16.7%
Dash Punctuation 2630
 
5.3%
Other Punctuation 1577
 
3.2%
Open Punctuation 872
 
1.8%
Close Punctuation 871
 
1.8%
Other Number 51
 
0.1%
Uppercase Letter 41
 
0.1%
Other Symbol 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2220
 
10.4%
2214
 
10.4%
2152
 
10.1%
2100
 
9.9%
2032
 
9.5%
1602
 
7.5%
469
 
2.2%
382
 
1.8%
365
 
1.7%
360
 
1.7%
Other values (147) 7400
34.7%
Uppercase Letter
ValueCountFrequency (%)
A 11
26.8%
B 10
24.4%
C 5
12.2%
E 3
 
7.3%
J 2
 
4.9%
K 2
 
4.9%
G 2
 
4.9%
D 2
 
4.9%
F 2
 
4.9%
H 1
 
2.4%
Decimal Number
ValueCountFrequency (%)
1 2866
20.4%
2 1809
12.9%
3 1643
11.7%
5 1460
10.4%
4 1347
9.6%
6 1168
8.3%
8 1010
 
7.2%
0 943
 
6.7%
7 919
 
6.5%
9 902
 
6.4%
Other Number
ValueCountFrequency (%)
18
35.3%
16
31.4%
8
15.7%
5
 
9.8%
² 2
 
3.9%
2
 
3.9%
Other Punctuation
ValueCountFrequency (%)
, 1343
85.2%
/ 232
 
14.7%
: 2
 
0.1%
Other Symbol
ValueCountFrequency (%)
2
40.0%
2
40.0%
1
20.0%
Space Separator
ValueCountFrequency (%)
8330
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2630
100.0%
Open Punctuation
ValueCountFrequency (%)
( 872
100.0%
Close Punctuation
ValueCountFrequency (%)
) 871
100.0%
Lowercase Letter
ValueCountFrequency (%)
m 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 28399
57.1%
Hangul 21300
42.8%
Latin 43
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2220
 
10.4%
2214
 
10.4%
2152
 
10.1%
2100
 
9.9%
2032
 
9.5%
1602
 
7.5%
469
 
2.2%
382
 
1.8%
365
 
1.7%
360
 
1.7%
Other values (149) 7404
34.8%
Common
ValueCountFrequency (%)
8330
29.3%
1 2866
 
10.1%
- 2630
 
9.3%
2 1809
 
6.4%
3 1643
 
5.8%
5 1460
 
5.1%
4 1347
 
4.7%
, 1343
 
4.7%
6 1168
 
4.1%
8 1010
 
3.6%
Other values (14) 4793
16.9%
Latin
ValueCountFrequency (%)
A 11
25.6%
B 10
23.3%
C 5
11.6%
E 3
 
7.0%
J 2
 
4.7%
m 2
 
4.7%
K 2
 
4.7%
G 2
 
4.7%
D 2
 
4.7%
F 2
 
4.7%
Other values (2) 2
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 28390
57.1%
Hangul 21279
42.8%
Enclosed Alphanum 49
 
0.1%
Compat Jamo 17
 
< 0.1%
None 6
 
< 0.1%
CJK Compat 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8330
29.3%
1 2866
 
10.1%
- 2630
 
9.3%
2 1809
 
6.4%
3 1643
 
5.8%
5 1460
 
5.1%
4 1347
 
4.7%
, 1343
 
4.7%
6 1168
 
4.1%
8 1010
 
3.6%
Other values (19) 4784
16.9%
Hangul
ValueCountFrequency (%)
2220
 
10.4%
2214
 
10.4%
2152
 
10.1%
2100
 
9.9%
2032
 
9.5%
1602
 
7.5%
469
 
2.2%
382
 
1.8%
365
 
1.7%
360
 
1.7%
Other values (144) 7383
34.7%
Enclosed Alphanum
ValueCountFrequency (%)
18
36.7%
16
32.7%
8
16.3%
5
 
10.2%
2
 
4.1%
Compat Jamo
ValueCountFrequency (%)
7
41.2%
5
29.4%
5
29.4%
None
ValueCountFrequency (%)
² 2
33.3%
2
33.3%
2
33.3%
CJK Compat
ValueCountFrequency (%)
1
100.0%
Distinct433
Distinct (%)20.3%
Missing0
Missing (%)0.0%
Memory size16.8 KiB
2023-12-13T07:28:17.121475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length4.0220347
Min length2

Characters and Unicode

Total characters8579
Distinct characters18
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

Unique270 ?
Unique (%)12.7%

Sample

1st row99
2nd row800
3rd row198
4th row98.28
5th row98.28
ValueCountFrequency (%)
99 496
23.2%
99.2 139
 
6.5%
99.28 72
 
3.4%
97.92 70
 
3.3%
99.9 64
 
3.0%
99.36 46
 
2.2%
999 43
 
2.0%
97.2 31
 
1.5%
99.96 31
 
1.5%
98.8 28
 
1.3%
Other values (424) 1115
52.2%
2023-12-13T07:28:17.592260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9 3500
40.8%
. 1380
 
16.1%
2 726
 
8.5%
8 546
 
6.4%
4 410
 
4.8%
6 395
 
4.6%
7 380
 
4.4%
1 328
 
3.8%
5 326
 
3.8%
0 316
 
3.7%
Other values (8) 272
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7181
83.7%
Other Punctuation 1380
 
16.1%
Lowercase Letter 8
 
0.1%
Other Letter 4
 
< 0.1%
Open Punctuation 2
 
< 0.1%
Space Separator 2
 
< 0.1%
Close Punctuation 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
9 3500
48.7%
2 726
 
10.1%
8 546
 
7.6%
4 410
 
5.7%
6 395
 
5.5%
7 380
 
5.3%
1 328
 
4.6%
5 326
 
4.5%
0 316
 
4.4%
3 254
 
3.5%
Lowercase Letter
ValueCountFrequency (%)
k 4
50.0%
w 4
50.0%
Other Letter
ValueCountFrequency (%)
2
50.0%
2
50.0%
Other Punctuation
ValueCountFrequency (%)
. 1380
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8567
99.9%
Latin 8
 
0.1%
Hangul 4
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
9 3500
40.9%
. 1380
 
16.1%
2 726
 
8.5%
8 546
 
6.4%
4 410
 
4.8%
6 395
 
4.6%
7 380
 
4.4%
1 328
 
3.8%
5 326
 
3.8%
0 316
 
3.7%
Other values (4) 260
 
3.0%
Latin
ValueCountFrequency (%)
k 4
50.0%
w 4
50.0%
Hangul
ValueCountFrequency (%)
2
50.0%
2
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8575
> 99.9%
Hangul 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9 3500
40.8%
. 1380
 
16.1%
2 726
 
8.5%
8 546
 
6.4%
4 410
 
4.8%
6 395
 
4.6%
7 380
 
4.4%
1 328
 
3.8%
5 326
 
3.8%
0 316
 
3.7%
Other values (6) 268
 
3.1%
Hangul
ValueCountFrequency (%)
2
50.0%
2
50.0%

사업상태
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size16.8 KiB
사업개시
1594 
<NA>
539 

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 1594
74.7%
<NA> 539
 
25.3%

Length

2023-12-13T07:28:17.744606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:28:17.861567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사업개시 1594
74.7%
na 539
 
25.3%

비고
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2133
Missing (%)100.0%
Memory size18.9 KiB

Interactions

2023-12-13T07:28:13.049761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T07:28:17.940205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번
순번1.000
2023-12-13T07:28:18.020665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번사업상태
순번1.0001.000
사업상태1.0001.000

Missing values

2023-12-13T07:28:13.165561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T07:28:13.277978image/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

순번허가일자사업개시일발전소명설치장소설비용량사업상태비고
012004-05-182005-12-20월드컬처에너지(주)해남군 삼산면 송정리 430-399사업개시<NA>
122005-11-152006-09-24해광에너지 태양광발전소해남군 계곡면 황죽리 421-15800사업개시<NA>
232006-10-112010-07-01신성솔라에너지 태양광발전소신성솔라에너지㈜해남군 화산면 평호리 321-2198사업개시<NA>
342007-02-072007-09-06선힐에너지원 태양광발전소해남군 황산면 외입리 246-398.28사업개시<NA>
452007-02-072007-09-06일광에너지 태양광발전소(유)일광에너지해남군 황산면 외입리 246-898.28사업개시<NA>
562007-02-072007-09-06선문 태양광발전소해남군 황산면 외입리 246-998.28사업개시<NA>
672007-02-162007-07-05온누리에너지 태양광발전소해남군 옥천면 신죽리 457-2999사업개시<NA>
782007-02-162007-07-05해남쏠라에너지 태양광발전소해남군 옥천면 신죽리 457-3999사업개시<NA>
892007-02-162007-07-05바우에너지 태양광발전소해남군 옥천면 신죽리 457-4999사업개시<NA>
9102007-02-162007-07-05홍인에너지 태양광발전소해남군 옥천면 신죽리 457-6999사업개시<NA>
순번허가일자사업개시일발전소명설치장소설비용량사업상태비고
212321242022-03-18<NA>형제8호 태양광발전소해남군 계곡면 잠두리 363-2,363-3(주1동-나) / 건물위99.76<NA><NA>
212421252022-03-18<NA>형제9호 태양광발전소해남군 계곡면 잠두리 363-2,363-3(주1동-가, 주2동-가) / 건물위99.76<NA><NA>
212521262022-03-18<NA>형제10호 태양광발전소해남군 계곡면 잠두리 363-2,363-3(주2동-나) / 건물위99.76<NA><NA>
212621272022-03-18<NA>형제11호 태양광발전소해남군 계곡면 잠두리 363-2,363-3(주2동-다),369-4,369-5(주2동-가) / 건물위99.76<NA><NA>
212721282022-03-18<NA>형제12호 태양광발전소해남군 계곡면 잠두리 369-4,369-5(주1동,주2동-나) / 건물위93.96<NA><NA>
212821292022-03-25<NA>태홍5호 태양광발전소해남군 황산면 부곡리 546-2(주1 1층, 주2 1층) / 건물위97.44<NA><NA>
212921302022-03-25<NA>하준 태양광발전소해남군 마산면 송석리 112-299.84<NA><NA>
213021312022-03-28<NA>도솔8호 태양광발전소해남군 옥천면 백호리 23-199.45<NA><NA>
213121322022-03-28<NA>도솔9호 태양광발전소해남군 옥천면 백호리 23-199.45<NA><NA>
213221332022-03-28<NA>도솔10호 태양광발전소해남군 옥천면 백호리 23-187.75<NA><NA>