Overview

Dataset statistics

Number of variables9
Number of observations1918
Missing cells0
Missing cells (%)0.0%
Duplicate rows13
Duplicate rows (%)0.7%
Total size in memory135.0 KiB
Average record size in memory72.1 B

Variable types

Categorical3
Text5
DateTime1

Dataset

Description전라남도 곡성군 농지전용 허가 정보 데이터 입니다. 연번, 업무구분, 업무종료일자(취소, 변경일자), 연도별, 소재지, 농지보전부담금, 공부지목 등
URLhttps://www.data.go.kr/data/3078773/fileData.do

Alerts

Dataset has 13 (0.7%) duplicate rowsDuplicates
업무구분 is highly imbalanced (70.0%)Imbalance
공부지목 is highly imbalanced (56.9%)Imbalance
데이타기준일자 is highly imbalanced (55.5%)Imbalance

Reproduction

Analysis started2023-12-12 22:30:34.711613
Analysis finished2023-12-12 22:30:35.405957
Duration0.69 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업무구분
Categorical

IMBALANCE 

Distinct10
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size15.1 KiB
농촌-농지전용협의_신규
1580 
농촌-농지전용협의_변경
 
156
협의변경
 
124
농촌-일시사용협의_변경
 
23
농촌-일시사용협의_신규
 
19
Other values (5)
 
16

Length

Max length12
Median length12
Mean length11.474453
Min length4

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row농촌-농지전용협의_변경
2nd row농촌-농지전용협의_변경
3rd row농촌-농지전용협의_변경
4th row농촌-농지전용협의_신규
5th row농촌-농지전용협의_신규

Common Values

ValueCountFrequency (%)
농촌-농지전용협의_신규 1580
82.4%
농촌-농지전용협의_변경 156
 
8.1%
협의변경 124
 
6.5%
농촌-일시사용협의_변경 23
 
1.2%
농촌-일시사용협의_신규 19
 
1.0%
농촌-일시사용허가_변경 5
 
0.3%
농촌-농지전용허가_신규 5
 
0.3%
농촌-일시사용허가_신규 3
 
0.2%
협의신규 2
 
0.1%
농촌-농지전용허가_변경 1
 
0.1%

Length

2023-12-13T07:30:35.475407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:30:35.602201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
농촌-농지전용협의_신규 1580
82.4%
농촌-농지전용협의_변경 156
 
8.1%
협의변경 124
 
6.5%
농촌-일시사용협의_변경 23
 
1.2%
농촌-일시사용협의_신규 19
 
1.0%
농촌-일시사용허가_변경 5
 
0.3%
농촌-농지전용허가_신규 5
 
0.3%
농촌-일시사용허가_신규 3
 
0.2%
협의신규 2
 
0.1%
농촌-농지전용허가_변경 1
 
0.1%

소재지
Text

Distinct541
Distinct (%)28.2%
Missing0
Missing (%)0.0%
Memory size15.1 KiB
2023-12-13T07:30:35.877994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length17
Mean length18.080813
Min length16

Characters and Unicode

Total characters34679
Distinct characters125
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique416 ?
Unique (%)21.7%

Sample

1st row전라남도 곡성군 입면 송전리 1358-1
2nd row전라남도 곡성군 곡성읍 교촌리 227-1
3rd row전라남도 곡성군 곡성읍 교촌리 221-1
4th row전라남도 곡성군 입면 입석리 18
5th row전라남도 곡성군 입면 입석리 19-5
ValueCountFrequency (%)
전라남도 1918
23.5%
곡성군 1918
23.5%
삼기면 459
 
5.6%
석곡면 338
 
4.1%
옥과면 204
 
2.5%
목사동면 180
 
2.2%
오산면 150
 
1.8%
겸면 140
 
1.7%
오곡면 116
 
1.4%
곡성읍 106
 
1.3%
Other values (539) 2633
32.3%
2023-12-13T07:30:36.292298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7672
22.1%
곡 2757
 
8.0%
성 2031
 
5.9%
전 2003
 
5.8%
리 1931
 
5.6%
남 1930
 
5.6%
도 1918
 
5.5%
군 1918
 
5.5%
라 1918
 
5.5%
면 1812
 
5.2%
Other values (115) 8789
25.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 24885
71.8%
Space Separator 7672
 
22.1%
Decimal Number 1789
 
5.2%
Dash Punctuation 333
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
곡 2757
11.1%
성 2031
 
8.2%
전 2003
 
8.0%
리 1931
 
7.8%
남 1930
 
7.8%
도 1918
 
7.7%
군 1918
 
7.7%
라 1918
 
7.7%
면 1812
 
7.3%
삼 477
 
1.9%
Other values (103) 6190
24.9%
Decimal Number
ValueCountFrequency (%)
1 368
20.6%
2 225
12.6%
3 206
11.5%
8 178
9.9%
7 155
8.7%
4 154
8.6%
5 135
 
7.5%
6 131
 
7.3%
9 127
 
7.1%
0 110
 
6.1%
Space Separator
ValueCountFrequency (%)
7672
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 333
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 24885
71.8%
Common 9794
 
28.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
곡 2757
11.1%
성 2031
 
8.2%
전 2003
 
8.0%
리 1931
 
7.8%
남 1930
 
7.8%
도 1918
 
7.7%
군 1918
 
7.7%
라 1918
 
7.7%
면 1812
 
7.3%
삼 477
 
1.9%
Other values (103) 6190
24.9%
Common
ValueCountFrequency (%)
7672
78.3%
1 368
 
3.8%
- 333
 
3.4%
2 225
 
2.3%
3 206
 
2.1%
8 178
 
1.8%
7 155
 
1.6%
4 154
 
1.6%
5 135
 
1.4%
6 131
 
1.3%
Other values (2) 237
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 24885
71.8%
ASCII 9794
 
28.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7672
78.3%
1 368
 
3.8%
- 333
 
3.4%
2 225
 
2.3%
3 206
 
2.1%
8 178
 
1.8%
7 155
 
1.6%
4 154
 
1.6%
5 135
 
1.4%
6 131
 
1.3%
Other values (2) 237
 
2.4%
Hangul
ValueCountFrequency (%)
곡 2757
11.1%
성 2031
 
8.2%
전 2003
 
8.0%
리 1931
 
7.8%
남 1930
 
7.8%
도 1918
 
7.7%
군 1918
 
7.7%
라 1918
 
7.7%
면 1812
 
7.3%
삼 477
 
1.9%
Other values (103) 6190
24.9%

농지보전부담금
Text

Distinct459
Distinct (%)23.9%
Missing0
Missing (%)0.0%
Memory size15.1 KiB
2023-12-13T07:30:36.596148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length1
Mean length2.5333681
Min length1

Characters and Unicode

Total characters4859
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

Unique427 ?
Unique (%)22.3%

Sample

1st row0
2nd row1945350
3rd row121830
4th row2559417
5th row2340000
ValueCountFrequency (%)
0 1425
74.3%
777015 3
 
0.2%
1323000 3
 
0.2%
8935000 3
 
0.2%
1276020 3
 
0.2%
197496 2
 
0.1%
2271816 2
 
0.1%
2155296 2
 
0.1%
1651032 2
 
0.1%
5216400 2
 
0.1%
Other values (449) 471
 
24.6%
2023-12-13T07:30:37.002240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2028
41.7%
1 364
 
7.5%
2 347
 
7.1%
5 319
 
6.6%
6 279
 
5.7%
, 273
 
5.6%
4 270
 
5.6%
7 253
 
5.2%
8 253
 
5.2%
3 250
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4586
94.4%
Other Punctuation 273
 
5.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2028
44.2%
1 364
 
7.9%
2 347
 
7.6%
5 319
 
7.0%
6 279
 
6.1%
4 270
 
5.9%
7 253
 
5.5%
8 253
 
5.5%
3 250
 
5.5%
9 223
 
4.9%
Other Punctuation
ValueCountFrequency (%)
, 273
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4859
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2028
41.7%
1 364
 
7.5%
2 347
 
7.1%
5 319
 
6.6%
6 279
 
5.7%
, 273
 
5.6%
4 270
 
5.6%
7 253
 
5.2%
8 253
 
5.2%
3 250
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4859
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2028
41.7%
1 364
 
7.5%
2 347
 
7.1%
5 319
 
6.6%
6 279
 
5.7%
, 273
 
5.6%
4 270
 
5.6%
7 253
 
5.2%
8 253
 
5.2%
3 250
 
5.1%

공부지목
Categorical

IMBALANCE 

Distinct11
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size15.1 KiB
답
1133 
전
557 
구거
149 
도로
 
64
과수원
 
5
Other values (6)
 
10

Length

Max length4
Median length1
Mean length1.124609
Min length1

Unique

Unique3 ?
Unique (%)0.2%

Sample

1st row답
2nd row전
3rd row전
4th row전
5th row전

Common Values

ValueCountFrequency (%)
답 1133
59.1%
전 557
29.0%
구거 149
 
7.8%
도로 64
 
3.3%
과수원 5
 
0.3%
유지 3
 
0.2%
제방 2
 
0.1%
창고용지 2
 
0.1%
목장용지 1
 
0.1%
대 1
 
0.1%

Length

2023-12-13T07:30:37.234931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
답 1133
59.1%
전 557
29.0%
구거 149
 
7.8%
도로 64
 
3.3%
과수원 5
 
0.3%
유지 3
 
0.2%
제방 2
 
0.1%
창고용지 2
 
0.1%
목장용지 1
 
0.1%
대 1
 
0.1%

필지면적(제곱미터)
Text

Distinct1276
Distinct (%)66.5%
Missing0
Missing (%)0.0%
Memory size15.1 KiB
2023-12-13T07:30:37.820745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5
Mean length3.3378519
Min length1

Characters and Unicode

Total characters6402
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

Unique870 ?
Unique (%)45.4%

Sample

1st row3179
2nd row1319
3rd row2995
4th row1127
5th row3290
ValueCountFrequency (%)
3 9
 
0.5%
99 7
 
0.4%
20 7
 
0.4%
417 7
 
0.4%
384 6
 
0.3%
65 6
 
0.3%
60 6
 
0.3%
526 6
 
0.3%
924 6
 
0.3%
209 6
 
0.3%
Other values (1266) 1852
96.6%
2023-12-13T07:30:38.422478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1097
17.1%
2 837
13.1%
3 684
10.7%
4 613
9.6%
6 535
8.4%
0 529
8.3%
5 527
8.2%
9 517
8.1%
7 486
7.6%
8 454
7.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6279
98.1%
Other Punctuation 123
 
1.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1097
17.5%
2 837
13.3%
3 684
10.9%
4 613
9.8%
6 535
8.5%
0 529
8.4%
5 527
8.4%
9 517
8.2%
7 486
7.7%
8 454
7.2%
Other Punctuation
ValueCountFrequency (%)
, 123
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6402
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 1097
17.1%
2 837
13.1%
3 684
10.7%
4 613
9.6%
6 535
8.4%
0 529
8.3%
5 527
8.2%
9 517
8.1%
7 486
7.6%
8 454
7.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6402
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1097
17.1%
2 837
13.1%
3 684
10.7%
4 613
9.6%
6 535
8.4%
0 529
8.3%
5 527
8.2%
9 517
8.1%
7 486
7.6%
8 454
7.1%

전용면적(제곱미터)
Text

Distinct817
Distinct (%)42.6%
Missing0
Missing (%)0.0%
Memory size15.1 KiB
2023-12-13T07:30:38.912436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3
Mean length2.7059437
Min length1

Characters and Unicode

Total characters5190
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

Unique454 ?
Unique (%)23.7%

Sample

1st row2430
2nd row495
3rd row31
4th row1127
5th row1040
ValueCountFrequency (%)
660 34
 
1.8%
6 23
 
1.2%
3 22
 
1.1%
1 21
 
1.1%
8 19
 
1.0%
2 18
 
0.9%
9 15
 
0.8%
5 14
 
0.7%
15 13
 
0.7%
44 13
 
0.7%
Other values (807) 1726
90.0%
2023-12-13T07:30:39.518554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 853
16.4%
2 610
11.8%
3 541
10.4%
4 501
9.7%
5 486
9.4%
6 481
9.3%
0 475
9.2%
9 430
8.3%
7 398
7.7%
8 372
7.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5147
99.2%
Other Punctuation 43
 
0.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 853
16.6%
2 610
11.9%
3 541
10.5%
4 501
9.7%
5 486
9.4%
6 481
9.3%
0 475
9.2%
9 430
8.4%
7 398
7.7%
8 372
7.2%
Other Punctuation
ValueCountFrequency (%)
, 43
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5190
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 853
16.4%
2 610
11.8%
3 541
10.4%
4 501
9.7%
5 486
9.4%
6 481
9.3%
0 475
9.2%
9 430
8.3%
7 398
7.7%
8 372
7.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5190
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 853
16.4%
2 610
11.8%
3 541
10.4%
4 501
9.7%
5 486
9.4%
6 481
9.3%
0 475
9.2%
9 430
8.3%
7 398
7.7%
8 372
7.2%

전용목적
Text

Distinct247
Distinct (%)12.9%
Missing0
Missing (%)0.0%
Memory size15.1 KiB
2023-12-13T07:30:39.774953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length37
Mean length26.61366
Min length4

Characters and Unicode

Total characters51045
Distinct characters255
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique134 ?
Unique (%)7.0%

Sample

1st row유통가공 (농산물가공처리도정제조업소)
2nd row주거시설 (단독주택신축부지)
3rd row주거시설 (단독주택신축부지)
4th row주거시설 (단독주택신축부지)
5th row주거시설 (단독주택신축부지)
ValueCountFrequency (%)
도로철도항만공항 983
 
13.4%
곡성 929
 
12.7%
석곡ic~겸면 672
 
9.2%
도로시설개량공사 672
 
9.2%
공공기타 296
 
4.0%
주거시설 269
 
3.7%
민간기타 196
 
2.7%
정비사업 158
 
2.2%
부지조성 155
 
2.1%
확포장공사 139
 
1.9%
Other values (338) 2850
38.9%
2023-12-13T07:30:40.205260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6123
 
12.0%
도 2895
 
5.7%
공 2614
 
5.1%
( 2158
 
4.2%
) 2158
 
4.2%
항 1966
 
3.9%
곡 1918
 
3.8%
로 1862
 
3.6%
성 1592
 
3.1%
사 1260
 
2.5%
Other values (245) 26499
51.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 38030
74.5%
Space Separator 6123
 
12.0%
Open Punctuation 2158
 
4.2%
Close Punctuation 2158
 
4.2%
Uppercase Letter 1386
 
2.7%
Math Symbol 694
 
1.4%
Decimal Number 370
 
0.7%
Other Punctuation 121
 
0.2%
Dash Punctuation 4
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 2895
 
7.6%
공 2614
 
6.9%
항 1966
 
5.2%
곡 1918
 
5.0%
로 1862
 
4.9%
성 1592
 
4.2%
사 1260
 
3.3%
설 1259
 
3.3%
지 1202
 
3.2%
시 1133
 
3.0%
Other values (219) 20329
53.5%
Decimal Number
ValueCountFrequency (%)
2 119
32.2%
3 113
30.5%
1 75
20.3%
8 27
 
7.3%
0 12
 
3.2%
6 7
 
1.9%
5 7
 
1.9%
9 7
 
1.9%
7 2
 
0.5%
4 1
 
0.3%
Uppercase Letter
ValueCountFrequency (%)
C 691
49.9%
I 689
49.7%
L 2
 
0.1%
G 2
 
0.1%
H 1
 
0.1%
U 1
 
0.1%
Math Symbol
ValueCountFrequency (%)
~ 692
99.7%
= 1
 
0.1%
+ 1
 
0.1%
Other Punctuation
ValueCountFrequency (%)
, 119
98.3%
. 2
 
1.7%
Space Separator
ValueCountFrequency (%)
6123
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2158
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2158
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Lowercase Letter
ValueCountFrequency (%)
m 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 38030
74.5%
Common 11628
 
22.8%
Latin 1387
 
2.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 2895
 
7.6%
공 2614
 
6.9%
항 1966
 
5.2%
곡 1918
 
5.0%
로 1862
 
4.9%
성 1592
 
4.2%
사 1260
 
3.3%
설 1259
 
3.3%
지 1202
 
3.2%
시 1133
 
3.0%
Other values (219) 20329
53.5%
Common
ValueCountFrequency (%)
6123
52.7%
( 2158
 
18.6%
) 2158
 
18.6%
~ 692
 
6.0%
2 119
 
1.0%
, 119
 
1.0%
3 113
 
1.0%
1 75
 
0.6%
8 27
 
0.2%
0 12
 
0.1%
Other values (9) 32
 
0.3%
Latin
ValueCountFrequency (%)
C 691
49.8%
I 689
49.7%
L 2
 
0.1%
G 2
 
0.1%
H 1
 
0.1%
m 1
 
0.1%
U 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 38030
74.5%
ASCII 13015
 
25.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6123
47.0%
( 2158
 
16.6%
) 2158
 
16.6%
~ 692
 
5.3%
C 691
 
5.3%
I 689
 
5.3%
2 119
 
0.9%
, 119
 
0.9%
3 113
 
0.9%
1 75
 
0.6%
Other values (16) 78
 
0.6%
Hangul
ValueCountFrequency (%)
도 2895
 
7.6%
공 2614
 
6.9%
항 1966
 
5.2%
곡 1918
 
5.0%
로 1862
 
4.9%
성 1592
 
4.2%
사 1260
 
3.3%
설 1259
 
3.3%
지 1202
 
3.2%
시 1133
 
3.0%
Other values (219) 20329
53.5%

허가일자
Date

Distinct274
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Memory size15.1 KiB
Minimum2016-01-06 00:00:00
Maximum2023-08-28 00:00:00
2023-12-13T07:30:40.365340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:30:40.492120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이타기준일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size15.1 KiB
2022-08-30
1555 
2023-08-28
362 
2023-08-29
 
1

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row2023-08-29
2nd row2022-08-30
3rd row2022-08-30
4th row2022-08-30
5th row2022-08-30

Common Values

ValueCountFrequency (%)
2022-08-30 1555
81.1%
2023-08-28 362
 
18.9%
2023-08-29 1
 
0.1%

Length

2023-12-13T07:30:40.626910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:30:40.745092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-08-30 1555
81.1%
2023-08-28 362
 
18.9%
2023-08-29 1
 
0.1%

Correlations

2023-12-13T07:30:40.814279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업무구분공부지목데이타기준일자
업무구분1.0000.0960.553
공부지목0.0961.0000.135
데이타기준일자0.5530.1351.000
2023-12-13T07:30:40.927656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
데이타기준일자공부지목업무구분
데이타기준일자1.0000.0780.396
공부지목0.0781.0000.041
업무구분0.3960.0411.000
2023-12-13T07:30:41.023915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업무구분공부지목데이타기준일자
업무구분1.0000.0410.396
공부지목0.0411.0000.078
데이타기준일자0.3960.0781.000

Missing values

2023-12-13T07:30:35.168045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T07:30:35.347674image/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

업무구분소재지농지보전부담금공부지목필지면적(제곱미터)전용면적(제곱미터)전용목적허가일자데이타기준일자
0농촌-농지전용협의_변경전라남도 곡성군 입면 송전리 1358-10답31792430유통가공 (농산물가공처리도정제조업소)2016-08-262023-08-29
1농촌-농지전용협의_변경전라남도 곡성군 곡성읍 교촌리 227-11945350전1319495주거시설 (단독주택신축부지)2016-08-292022-08-30
2농촌-농지전용협의_변경전라남도 곡성군 곡성읍 교촌리 221-1121830전299531주거시설 (단독주택신축부지)2016-08-292022-08-30
3농촌-농지전용협의_신규전라남도 곡성군 입면 입석리 182559417전11271127주거시설 (단독주택신축부지)2016-08-292022-08-30
4농촌-농지전용협의_신규전라남도 곡성군 입면 입석리 19-52340000전32901040주거시설 (단독주택신축부지)2016-08-292022-08-30
5농촌-농지전용협의_신규전라남도 곡성군 곡성읍 읍내리 618-90답399304주거시설 (종교집회장)2016-08-262022-08-30
6농촌-농지전용협의_신규전라남도 곡성군 곡성읍 읍내리 619-270전239239주거시설 (종교집회장)2016-08-262022-08-30
7농촌-농지전용협의_변경전라남도 곡성군 목사동면 동암리 208-101139994답454454민간기타 (태양광발전시설)2016-08-222022-08-30
8농촌-농지전용협의_변경전라남도 곡성군 목사동면 동암리 208-13379161답151151민간기타 (태양광발전시설)2016-08-222022-08-30
9농촌-농지전용협의_변경전라남도 곡성군 목사동면 동암리 210-21588896답12261226민간기타 (태양광발전시설)2016-08-222022-08-30
업무구분소재지농지보전부담금공부지목필지면적(제곱미터)전용면적(제곱미터)전용목적허가일자데이타기준일자
1908농촌-농지전용협의_신규전라남도 곡성군 고달면 호곡리1,055,124답1,5931,106주거시설 (단독주택부속시설부지조성)2023-08-072023-08-28
1909농촌-농지전용협의_신규전라남도 곡성군 곡성읍 읍내리0답508508주거시설 (단독주택신축부지조성)2023-08-072023-08-28
1910농촌-농지전용협의_신규전라남도 곡성군 오산면 가곡리4,402,680전1,9311,931민간기타 (태양광발전시설설치에다른 부지조성)2023-03-062023-08-28
1911협의변경전라남도 곡성군 목사동면 죽정리234,897전317317주거시설 (단독주택신축을 위한 부지조성)2023-08-092023-08-28
1912협의변경전라남도 곡성군 목사동면 죽정리505,362전3,514682주거시설 (단독주택신축을 위한 부지조성)2023-08-092023-08-28
1913협의변경전라남도 곡성군 오곡면 구성리53,040답1,20668주거시설 (단독주택신축부지조성)2023-08-232023-08-28
1914협의변경전라남도 곡성군 오곡면 구성리285,228답1,206342주거시설 (단독주택신축부지조성)2023-08-232023-08-28
1915농촌-농지전용협의_신규전라남도 곡성군 석곡면 연반리1,204,866답741741민간기타 (태양광발전시설 설치에 따른 부지조성)2023-08-232023-08-28
1916농촌-농지전용협의_신규전라남도 곡성군 석곡면 연반리666,660답410410민간기타 (태양광발전시설 설치에 따른 부지조성)2023-08-232023-08-28
1917농촌-농지전용협의_신규전라남도 곡성군 죽곡면 봉정리1,292,970답2,476917민간기타 (태양광발전시설 설치에 따른 부지조성)2023-08-282023-08-28

Duplicate rows

Most frequently occurring

업무구분소재지농지보전부담금공부지목필지면적(제곱미터)전용면적(제곱미터)전용목적허가일자데이타기준일자# duplicates
0농촌-농지전용협의_신규전라남도 곡성군 겸면 마전리0답2424공공기타 (곡성 마전2 소하천 정비사업)2022-10-072023-08-282
1농촌-농지전용협의_신규전라남도 곡성군 겸면 마전리0답2929공공기타 (곡성 마전2 소하천 정비사업)2022-10-072023-08-282
2농촌-농지전용협의_신규전라남도 곡성군 곡성읍 교촌리0전99도로철도항만공항 (곡성 교촌마을 농어촌도로 확포장공사)2023-06-012023-08-282
3농촌-농지전용협의_신규전라남도 곡성군 삼기면 경악리0답164164도로철도항만공항 (곡성 석곡IC~겸면 도로시설개량공사)2022-05-232022-08-302
4농촌-농지전용협의_신규전라남도 곡성군 삼기면 노동리 3241009800전3098990주거시설 (단독주택신축부지)2016-08-092022-08-302
5농촌-농지전용협의_신규전라남도 곡성군 석곡면 방송리0답1717도로철도항만공항 (석곡 용주마을 농어촌도로 확포장공사)2022-04-272022-08-302
6농촌-농지전용협의_신규전라남도 곡성군 석곡면 석곡리0전11도로철도항만공항 (곡성 석곡IC~겸면 도로시설개량공사)2022-05-232022-08-302
7농촌-농지전용협의_신규전라남도 곡성군 석곡면 석곡리0전33도로철도항만공항 (곡성 석곡IC~겸면 도로시설개량공사)2022-05-232022-08-302
8농촌-농지전용협의_신규전라남도 곡성군 옥과면 주산리0답1616공공기타 (곡성 배감지구 재해복구사업에 따른 농지전용협의)2022-07-252022-08-302
9농촌-농지전용협의_신규전라남도 곡성군 옥과면 주산리0답3131공공기타 (곡성 배감지구 재해복구사업에 따른 농지전용협의)2022-07-252022-08-302