Overview

Dataset statistics

Number of variables6
Number of observations2137
Missing cells543
Missing cells (%)4.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory102.4 KiB
Average record size in memory49.1 B

Variable types

Numeric1
Text5

Dataset

Description해남군의 전기발전사업(신재생에너지) 허가 현황으로 발전소명, 허가일, 설비용량, 설치장소, 사업개시일 등의 항목을 제공합니다.
Author전라남도 해남군
URLhttps://www.data.go.kr/data/15048406/fileData.do

Alerts

완공일 개시일 has 543 (25.4%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 18:01:55.313320
Analysis finished2023-12-12 18:01:56.192446
Duration0.88 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct2137
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1069
Minimum1
Maximum2137
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.9 KiB
2023-12-13T03:01:56.338554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile107.8
Q1535
median1069
Q31603
95-th percentile2030.2
Maximum2137
Range2136
Interquartile range (IQR)1068

Descriptive statistics

Standard deviation617.04308
Coefficient of variation (CV)0.57721523
Kurtosis-1.2
Mean1069
Median Absolute Deviation (MAD)534
Skewness0
Sum2284453
Variance380742.17
MonotonicityStrictly increasing
2023-12-13T03:01:56.543233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
1421 1
 
< 0.1%
1435 1
 
< 0.1%
1434 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%
Other values (2127) 2127
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 (%)
2137 1
< 0.1%
2136 1
< 0.1%
2135 1
< 0.1%
2134 1
< 0.1%
2133 1
< 0.1%
2132 1
< 0.1%
2131 1
< 0.1%
2130 1
< 0.1%
2129 1
< 0.1%
2128 1
< 0.1%

법인명 발전소명
Text

Distinct2020
Distinct (%)94.5%
Missing0
Missing (%)0.0%
Memory size16.8 KiB
2023-12-13T03:01:56.843343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length20
Mean length10.468882
Min length2

Characters and Unicode

Total characters22372
Distinct characters427
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

Unique1928 ?
Unique (%)90.2%

Sample

1st row월드컬처에너지(주)
2nd row해광에너지 태양광발전소
3rd row신성솔라에너지 태양광발전소
4th row선힐에너지원 태양광발전소
5th row일광에너지 태양광발전소
ValueCountFrequency (%)
태양광발전소 1787
42.9%
서상리 26
 
0.6%
한자리 21
 
0.5%
수상태양광발전소 19
 
0.5%
태양광 16
 
0.4%
대산리 14
 
0.3%
발전소 12
 
0.3%
해남 11
 
0.3%
양명에너지 10
 
0.2%
태양광발전소1호 9
 
0.2%
Other values (1953) 2241
53.8%
2023-12-13T03:01:57.369812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2053
 
9.2%
광 2031
 
9.1%
태 2023
 
9.0%
양 2012
 
9.0%
전 2006
 
9.0%
소 1993
 
8.9%
발 1987
 
8.9%
호 831
 
3.7%
1 273
 
1.2%
에 260
 
1.2%
Other values (417) 6903
30.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 18978
84.8%
Space Separator 2053
 
9.2%
Decimal Number 966
 
4.3%
Uppercase Letter 107
 
0.5%
Close Punctuation 82
 
0.4%
Open Punctuation 82
 
0.4%
Other Symbol 53
 
0.2%
Lowercase Letter 39
 
0.2%
Dash Punctuation 10
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 2031
 
10.7%
태 2023
 
10.7%
양 2012
 
10.6%
전 2006
 
10.6%
소 1993
 
10.5%
발 1987
 
10.5%
호 831
 
4.4%
에 260
 
1.4%
지 247
 
1.3%
너 193
 
1.0%
Other values (369) 5395
28.4%
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%
C 3
 
2.8%
Other values (8) 18
16.8%
Lowercase Letter
ValueCountFrequency (%)
o 6
15.4%
r 6
15.4%
a 5
12.8%
l 4
10.3%
e 4
10.3%
y 3
7.7%
n 3
7.7%
s 2
 
5.1%
g 2
 
5.1%
c 1
 
2.6%
Other values (3) 3
7.7%
Decimal Number
ValueCountFrequency (%)
1 273
28.3%
2 253
26.2%
3 120
12.4%
4 70
 
7.2%
5 65
 
6.7%
6 48
 
5.0%
7 40
 
4.1%
0 36
 
3.7%
8 35
 
3.6%
9 26
 
2.7%
Space Separator
ValueCountFrequency (%)
2053
100.0%
Close Punctuation
ValueCountFrequency (%)
) 82
100.0%
Open Punctuation
ValueCountFrequency (%)
( 82
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 53
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 1
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 19031
85.1%
Common 3194
 
14.3%
Latin 147
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 2031
 
10.7%
태 2023
 
10.6%
양 2012
 
10.6%
전 2006
 
10.5%
소 1993
 
10.5%
발 1987
 
10.4%
호 831
 
4.4%
에 260
 
1.4%
지 247
 
1.3%
너 193
 
1.0%
Other values (370) 5448
28.6%
Latin
ValueCountFrequency (%)
S 26
17.7%
J 17
 
11.6%
H 12
 
8.2%
N 7
 
4.8%
o 6
 
4.1%
r 6
 
4.1%
B 6
 
4.1%
D 5
 
3.4%
M 5
 
3.4%
a 5
 
3.4%
Other values (22) 52
35.4%
Common
ValueCountFrequency (%)
2053
64.3%
1 273
 
8.5%
2 253
 
7.9%
3 120
 
3.8%
) 82
 
2.6%
( 82
 
2.6%
4 70
 
2.2%
5 65
 
2.0%
6 48
 
1.5%
7 40
 
1.3%
Other values (5) 108
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 18978
84.8%
ASCII 3340
 
14.9%
None 53
 
0.2%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2053
61.5%
1 273
 
8.2%
2 253
 
7.6%
3 120
 
3.6%
) 82
 
2.5%
( 82
 
2.5%
4 70
 
2.1%
5 65
 
1.9%
6 48
 
1.4%
7 40
 
1.2%
Other values (36) 254
 
7.6%
Hangul
ValueCountFrequency (%)
광 2031
 
10.7%
태 2023
 
10.7%
양 2012
 
10.6%
전 2006
 
10.6%
소 1993
 
10.5%
발 1987
 
10.5%
호 831
 
4.4%
에 260
 
1.4%
지 247
 
1.3%
너 193
 
1.0%
Other values (369) 5395
28.4%
None
ValueCountFrequency (%)
㈜ 53
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

설비허가 용량(kW)
Text

Distinct434
Distinct (%)20.3%
Missing0
Missing (%)0.0%
Memory size16.8 KiB
2023-12-13T03:01:57.693385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length4.0182499
Min length2

Characters and Unicode

Total characters8587
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

Unique271 ?
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
 
1.4%
99.96 31
 
1.4%
98.8 28
 
1.3%
Other values (425) 1119
52.3%
2023-12-13T03:01:58.224313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9 3500
40.8%
. 1380
 
16.1%
2 729
 
8.5%
8 546
 
6.4%
4 410
 
4.8%
6 395
 
4.6%
7 380
 
4.4%
1 329
 
3.8%
5 326
 
3.8%
0 319
 
3.7%
Other values (8) 273
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7189
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%
2 729
 
10.1%
8 546
 
7.6%
4 410
 
5.7%
6 395
 
5.5%
7 380
 
5.3%
1 329
 
4.6%
5 326
 
4.5%
0 319
 
4.4%
3 255
 
3.5%
Lowercase Letter
ValueCountFrequency (%)
k 4
50.0%
w 4
50.0%
Other Letter
ValueCountFrequency (%)
증 2
50.0%
설 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 8575
99.9%
Latin 8
 
0.1%
Hangul 4
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
9 3500
40.8%
. 1380
 
16.1%
2 729
 
8.5%
8 546
 
6.4%
4 410
 
4.8%
6 395
 
4.6%
7 380
 
4.4%
1 329
 
3.8%
5 326
 
3.8%
0 319
 
3.7%
Other values (4) 261
 
3.0%
Latin
ValueCountFrequency (%)
k 4
50.0%
w 4
50.0%
Hangul
ValueCountFrequency (%)
증 2
50.0%
설 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8583
> 99.9%
Hangul 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9 3500
40.8%
. 1380
 
16.1%
2 729
 
8.5%
8 546
 
6.4%
4 410
 
4.8%
6 395
 
4.6%
7 380
 
4.4%
1 329
 
3.8%
5 326
 
3.8%
0 319
 
3.7%
Other values (6) 269
 
3.1%
Hangul
ValueCountFrequency (%)
증 2
50.0%
설 2
50.0%

발전소주소(설치장소)
Text

Distinct2105
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Memory size16.8 KiB
2023-12-13T03:01:58.663146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length107
Median length84
Mean length23.305569
Min length11

Characters and Unicode

Total characters49804
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

Unique2078 ?
Unique (%)97.2%

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 2104
 
20.1%
황산면 458
 
4.4%
문내면 361
 
3.4%
221
 
2.1%
송지면 191
 
1.8%
현산면 162
 
1.5%
화산면 149
 
1.4%
예락리 139
 
1.3%
건물 131
 
1.3%
계곡면 119
 
1.1%
Other values (3359) 6442
61.5%
2023-12-13T03:01:59.295489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8342
 
16.7%
1 2869
 
5.8%
- 2631
 
5.3%
남 2224
 
4.5%
해 2218
 
4.5%
리 2156
 
4.3%
군 2104
 
4.2%
면 2036
 
4.1%
2 1809
 
3.6%
3 1645
 
3.3%
Other values (185) 21770
43.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 21332
42.8%
Decimal Number 14080
28.3%
Space Separator 8342
 
16.7%
Dash Punctuation 2631
 
5.3%
Other Punctuation 1577
 
3.2%
Open Punctuation 872
 
1.8%
Close Punctuation 871
 
1.7%
Other Number 51
 
0.1%
Uppercase Letter 41
 
0.1%
Other Symbol 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 2224
 
10.4%
해 2218
 
10.4%
리 2156
 
10.1%
군 2104
 
9.9%
면 2036
 
9.5%
산 1602
 
7.5%
황 469
 
2.2%
내 384
 
1.8%
송 367
 
1.7%
문 362
 
1.7%
Other values (147) 7410
34.7%
Uppercase Letter
ValueCountFrequency (%)
A 11
26.8%
B 10
24.4%
C 5
12.2%
E 3
 
7.3%
F 2
 
4.9%
G 2
 
4.9%
K 2
 
4.9%
J 2
 
4.9%
D 2
 
4.9%
H 1
 
2.4%
Decimal Number
ValueCountFrequency (%)
1 2869
20.4%
2 1809
12.8%
3 1645
11.7%
5 1462
10.4%
4 1347
9.6%
6 1168
8.3%
8 1013
 
7.2%
0 943
 
6.7%
7 921
 
6.5%
9 903
 
6.4%
Other Number
ValueCountFrequency (%)
② 18
35.3%
① 16
31.4%
③ 8
15.7%
④ 5
 
9.8%
² 2
 
3.9%
⑤ 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 (%)
8342
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2631
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 28425
57.1%
Hangul 21336
42.8%
Latin 43
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 2224
 
10.4%
해 2218
 
10.4%
리 2156
 
10.1%
군 2104
 
9.9%
면 2036
 
9.5%
산 1602
 
7.5%
황 469
 
2.2%
내 384
 
1.8%
송 367
 
1.7%
문 362
 
1.7%
Other values (149) 7414
34.7%
Common
ValueCountFrequency (%)
8342
29.3%
1 2869
 
10.1%
- 2631
 
9.3%
2 1809
 
6.4%
3 1645
 
5.8%
5 1462
 
5.1%
4 1347
 
4.7%
, 1343
 
4.7%
6 1168
 
4.1%
8 1013
 
3.6%
Other values (14) 4796
16.9%
Latin
ValueCountFrequency (%)
A 11
25.6%
B 10
23.3%
C 5
11.6%
E 3
 
7.0%
F 2
 
4.7%
G 2
 
4.7%
K 2
 
4.7%
J 2
 
4.7%
m 2
 
4.7%
D 2
 
4.7%
Other values (2) 2
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 28416
57.1%
Hangul 21315
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 (%)
8342
29.4%
1 2869
 
10.1%
- 2631
 
9.3%
2 1809
 
6.4%
3 1645
 
5.8%
5 1462
 
5.1%
4 1347
 
4.7%
, 1343
 
4.7%
6 1168
 
4.1%
8 1013
 
3.6%
Other values (19) 4787
16.8%
Hangul
ValueCountFrequency (%)
남 2224
 
10.4%
해 2218
 
10.4%
리 2156
 
10.1%
군 2104
 
9.9%
면 2036
 
9.6%
산 1602
 
7.5%
황 469
 
2.2%
내 384
 
1.8%
송 367
 
1.7%
문 362
 
1.7%
Other values (144) 7393
34.7%
Enclosed Alphanum
ValueCountFrequency (%)
② 18
36.7%
① 16
32.7%
③ 8
16.3%
④ 5
 
10.2%
⑤ 2
 
4.1%
Compat Jamo
ValueCountFrequency (%)
ㄴ 7
41.2%
ㄷ 5
29.4%
ㄱ 5
29.4%
None
ValueCountFrequency (%)
㉮ 2
33.3%
㉯ 2
33.3%
² 2
33.3%
CJK Compat
ValueCountFrequency (%)
㎡ 1
100.0%

최초허가일
Text

Distinct347
Distinct (%)16.2%
Missing0
Missing (%)0.0%
Memory size16.8 KiB
2023-12-13T03:01:59.666678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length10
Mean length10.042115
Min length10

Characters and Unicode

Total characters21460
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

Unique93 ?
Unique (%)4.4%

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 (337) 1803
84.4%
2023-12-13T03:02:00.527053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 4863
22.7%
- 4292
20.0%
1 3762
17.5%
2 3735
17.4%
7 920
 
4.3%
8 898
 
4.2%
6 713
 
3.3%
4 677
 
3.2%
3 654
 
3.0%
9 560
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 17168
80.0%
Dash Punctuation 4292
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4863
28.3%
1 3762
21.9%
2 3735
21.8%
7 920
 
5.4%
8 898
 
5.2%
6 713
 
4.2%
4 677
 
3.9%
3 654
 
3.8%
9 560
 
3.3%
5 386
 
2.2%
Dash Punctuation
ValueCountFrequency (%)
- 4292
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 21460
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4863
22.7%
- 4292
20.0%
1 3762
17.5%
2 3735
17.4%
7 920
 
4.3%
8 898
 
4.2%
6 713
 
3.3%
4 677
 
3.2%
3 654
 
3.0%
9 560
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 21460
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4863
22.7%
- 4292
20.0%
1 3762
17.5%
2 3735
17.4%
7 920
 
4.3%
8 898
 
4.2%
6 713
 
3.3%
4 677
 
3.2%
3 654
 
3.0%
9 560
 
2.6%

완공일 개시일
Text

MISSING 

Distinct369
Distinct (%)23.1%
Missing543
Missing (%)25.4%
Memory size16.8 KiB
2023-12-13T03:02:00.903605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length10
Mean length10.028858
Min length4

Characters and Unicode

Total characters15986
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

Unique136 ?
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%
2021-01-07 22
 
1.4%
Other values (359) 1315
82.5%
2023-12-13T03:02:01.464754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3739
23.4%
2 3204
20.0%
- 3196
20.0%
1 2884
18.0%
8 601
 
3.8%
4 502
 
3.1%
3 466
 
2.9%
7 414
 
2.6%
9 367
 
2.3%
5 318
 
2.0%
Other values (7) 295
 
1.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12784
80.0%
Dash Punctuation 3196
 
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 3739
29.2%
2 3204
25.1%
1 2884
22.6%
8 601
 
4.7%
4 502
 
3.9%
3 466
 
3.6%
7 414
 
3.2%
9 367
 
2.9%
5 318
 
2.5%
6 289
 
2.3%
Other Letter
ValueCountFrequency (%)
사 1
25.0%
업 1
25.0%
개 1
25.0%
시 1
25.0%
Dash Punctuation
ValueCountFrequency (%)
- 3196
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 15982
> 99.9%
Hangul 4
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3739
23.4%
2 3204
20.0%
- 3196
20.0%
1 2884
18.0%
8 601
 
3.8%
4 502
 
3.1%
3 466
 
2.9%
7 414
 
2.6%
9 367
 
2.3%
5 318
 
2.0%
Other values (3) 291
 
1.8%
Hangul
ValueCountFrequency (%)
사 1
25.0%
업 1
25.0%
개 1
25.0%
시 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 15982
> 99.9%
Hangul 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3739
23.4%
2 3204
20.0%
- 3196
20.0%
1 2884
18.0%
8 601
 
3.8%
4 502
 
3.1%
3 466
 
2.9%
7 414
 
2.6%
9 367
 
2.3%
5 318
 
2.0%
Other values (3) 291
 
1.8%
Hangul
ValueCountFrequency (%)
사 1
25.0%
업 1
25.0%
개 1
25.0%
시 1
25.0%

Interactions

2023-12-13T03:01:55.769234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-12-13T03:01:55.901700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T03:01:56.100008image/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

연번법인명 발전소명설비허가 용량(kW)발전소주소(설치장소)최초허가일완공일 개시일
01월드컬처에너지(주)99해남군 삼산면 송정리 430-32004-05-182005-12-20
12해광에너지 태양광발전소800해남군 계곡면 황죽리 421-152005-11-152006-09-24
23신성솔라에너지 태양광발전소198해남군 화산면 평호리 321-22006-10-112010-07-01
34선힐에너지원 태양광발전소98.28해남군 황산면 외입리 246-32007-02-072007-09-06
45일광에너지 태양광발전소98.28해남군 황산면 외입리 246-82007-02-072007-09-06
56선문 태양광발전소98.28해남군 황산면 외입리 246-92007-02-072007-09-06
67온누리에너지 태양광발전소999해남군 옥천면 신죽리 457-22007-02-162007-07-05
78해남쏠라에너지 태양광발전소999해남군 옥천면 신죽리 457-32007-02-162007-07-05
89바우에너지 태양광발전소999해남군 옥천면 신죽리 457-42007-02-162007-07-05
910홍인에너지 태양광발전소999해남군 옥천면 신죽리 457-62007-02-162007-07-05
연번법인명 발전소명설비허가 용량(kW)발전소주소(설치장소)최초허가일완공일 개시일
21272128형제8호 태양광발전소99.76해남군 계곡면 잠두리 363-2,363-3(주1동-나) / 건물위2022-03-18<NA>
21282129형제9호 태양광발전소99.76해남군 계곡면 잠두리 363-2,363-3(주1동-가, 주2동-가) / 건물위2022-03-18<NA>
21292130형제10호 태양광발전소99.76해남군 계곡면 잠두리 363-2,363-3(주2동-나) / 건물위2022-03-18<NA>
21302131형제11호 태양광발전소99.76해남군 계곡면 잠두리 363-2,363-3(주2동-다),369-4,369-5(주2동-가) / 건물위2022-03-18<NA>
21312132형제12호 태양광발전소93.96해남군 계곡면 잠두리 369-4,369-5(주1동,주2동-나) / 건물위2022-03-18<NA>
21322133태홍5호 태양광발전소97.44해남군 황산면 부곡리 546-2(주1 1층, 주2 1층) / 건물위2022-03-25<NA>
21332134하준 태양광발전소99.84해남군 마산면 송석리 112-22022-03-25<NA>
21342135도솔8호 태양광발전소99.45해남군 옥천면 백호리 23-12022-03-28<NA>
21352136도솔9호 태양광발전소99.45해남군 옥천면 백호리 23-12022-03-28<NA>
21362137도솔10호 태양광발전소87.75해남군 옥천면 백호리 23-12022-03-28<NA>