Overview

Dataset statistics

Number of variables10
Number of observations47
Missing cells0
Missing cells (%)0.0%
Duplicate rows4
Duplicate rows (%)8.5%
Total size in memory3.9 KiB
Average record size in memory84.8 B

Variable types

Categorical5
Text2
Numeric2
DateTime1

Dataset

Description충청남도 청양군의 개발행위 허가정보(시군,읍면동,리,번지,지목,지적(제곱미터),용도지역,허가지역(제곱미터),허가일자,허가내용 등에 관한 정보를 제공합니다.
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=4&beforeMenuCd=DOM_000000201001001000&publicdatapk=15125634

Alerts

시군 has constant value ""Constant
Dataset has 4 (8.5%) duplicate rowsDuplicates
지적(제곱미터) is highly overall correlated with 허가면적(제곱미터) and 1 other fieldsHigh correlation
허가면적(제곱미터) is highly overall correlated with 지적(제곱미터) and 2 other fieldsHigh correlation
읍면동 is highly overall correlated with 리High correlation
리 is highly overall correlated with 허가면적(제곱미터) and 2 other fieldsHigh correlation
지목 is highly overall correlated with 지적(제곱미터) and 2 other fieldsHigh correlation

Reproduction

Analysis started2024-01-09 22:08:38.461654
Analysis finished2024-01-09 22:08:39.275799
Duration0.81 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군
Categorical

CONSTANT 

Distinct1
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size508.0 B
청양군
47 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
청양군 47
100.0%

Length

2024-01-10T07:08:39.325093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:08:39.391981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
청양군 47
100.0%

읍면동
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)17.0%
Missing0
Missing (%)0.0%
Memory size508.0 B
청양읍
12 
목면
10 
장평면
8 
청남면
5 
비봉면
4 
Other values (3)
8 

Length

Max length3
Median length3
Mean length2.787234
Min length2

Unique

Unique1 ?
Unique (%)2.1%

Sample

1st row청양읍
2nd row청양읍
3rd row청양읍
4th row비봉면
5th row청양읍

Common Values

ValueCountFrequency (%)
청양읍 12
25.5%
목면 10
21.3%
장평면 8
17.0%
청남면 5
10.6%
비봉면 4
 
8.5%
정산면 4
 
8.5%
운곡면 3
 
6.4%
대치면 1
 
2.1%

Length

2024-01-10T07:08:39.467455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:08:39.557960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
청양읍 12
25.5%
목면 10
21.3%
장평면 8
17.0%
청남면 5
10.6%
비봉면 4
 
8.5%
정산면 4
 
8.5%
운곡면 3
 
6.4%
대치면 1
 
2.1%

리
Categorical

HIGH CORRELATION 

Distinct23
Distinct (%)48.9%
Missing0
Missing (%)0.0%
Memory size508.0 B
화양리
6 
청수리
5 
동강리
4 
미당리
4 
신흥리
4 
Other values (18)
24 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique13 ?
Unique (%)27.7%

Sample

1st row청수리
2nd row청수리
3rd row청수리
4th row양사리
5th row학당리

Common Values

ValueCountFrequency (%)
화양리 6
12.8%
청수리 5
 
10.6%
동강리 4
 
8.5%
미당리 4
 
8.5%
신흥리 4
 
8.5%
학당리 3
 
6.4%
은곡리 2
 
4.3%
신원리 2
 
4.3%
장승리 2
 
4.3%
역촌리 2
 
4.3%
Other values (13) 13
27.7%

Length

2024-01-10T07:08:39.657435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
화양리 6
12.8%
청수리 5
 
10.6%
동강리 4
 
8.5%
미당리 4
 
8.5%
신흥리 4
 
8.5%
학당리 3
 
6.4%
은곡리 2
 
4.3%
신원리 2
 
4.3%
장승리 2
 
4.3%
역촌리 2
 
4.3%
Other values (13) 13
27.7%

번지
Text

Distinct39
Distinct (%)83.0%
Missing0
Missing (%)0.0%
Memory size508.0 B
2024-01-10T07:08:39.802633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length7.7659574
Min length2

Characters and Unicode

Total characters365
Distinct characters18
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

Unique33 ?
Unique (%)70.2%

Sample

1st row106-8
2nd row106-3번지외 2필지
3rd row106-4번지 외 1필지
4th row963-3번지
5th row산45
ValueCountFrequency (%)
외 12
 
15.6%
1필지 8
 
10.4%
677-13 3
 
3.9%
1044-12 3
 
3.9%
2필지 3
 
3.9%
1044-13 2
 
2.6%
141-3 2
 
2.6%
3필지 2
 
2.6%
141-3외 2
 
2.6%
199-1번지 2
 
2.6%
Other values (37) 38
49.4%
2024-01-10T07:08:40.064955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 63
17.3%
- 39
10.7%
30
 
8.2%
지 29
 
7.9%
3 24
 
6.6%
4 24
 
6.6%
6 20
 
5.5%
0 17
 
4.7%
2 17
 
4.7%
외 17
 
4.7%
Other values (8) 85
23.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 214
58.6%
Other Letter 81
 
22.2%
Dash Punctuation 39
 
10.7%
Space Separator 30
 
8.2%
Other Punctuation 1
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 63
29.4%
3 24
 
11.2%
4 24
 
11.2%
6 20
 
9.3%
0 17
 
7.9%
2 17
 
7.9%
9 13
 
6.1%
8 12
 
5.6%
5 12
 
5.6%
7 12
 
5.6%
Other Letter
ValueCountFrequency (%)
지 29
35.8%
외 17
21.0%
필 17
21.0%
번 12
14.8%
산 6
 
7.4%
Dash Punctuation
ValueCountFrequency (%)
- 39
100.0%
Space Separator
ValueCountFrequency (%)
30
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 284
77.8%
Hangul 81
 
22.2%

Most frequent character per script

Common
ValueCountFrequency (%)
1 63
22.2%
- 39
13.7%
30
10.6%
3 24
 
8.5%
4 24
 
8.5%
6 20
 
7.0%
0 17
 
6.0%
2 17
 
6.0%
9 13
 
4.6%
8 12
 
4.2%
Other values (3) 25
 
8.8%
Hangul
ValueCountFrequency (%)
지 29
35.8%
외 17
21.0%
필 17
21.0%
번 12
14.8%
산 6
 
7.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 284
77.8%
Hangul 81
 
22.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 63
22.2%
- 39
13.7%
30
10.6%
3 24
 
8.5%
4 24
 
8.5%
6 20
 
7.0%
0 17
 
6.0%
2 17
 
6.0%
9 13
 
4.6%
8 12
 
4.2%
Other values (3) 25
 
8.8%
Hangul
ValueCountFrequency (%)
지 29
35.8%
외 17
21.0%
필 17
21.0%
번 12
14.8%
산 6
 
7.4%

지목
Categorical

HIGH CORRELATION 

Distinct10
Distinct (%)21.3%
Missing0
Missing (%)0.0%
Memory size508.0 B
답
23 
임
6 
전
6 
목
4 
임+전
 
2
Other values (5)
6 

Length

Max length5
Median length1
Mean length1.212766
Min length1

Unique

Unique4 ?
Unique (%)8.5%

Sample

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

Common Values

ValueCountFrequency (%)
답 23
48.9%
임 6
 
12.8%
전 6
 
12.8%
목 4
 
8.5%
임+전 2
 
4.3%
장 2
 
4.3%
임+전+잡 1
 
2.1%
창 1
 
2.1%
도+구 1
 
2.1%
도 1
 
2.1%

Length

2024-01-10T07:08:40.173507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:08:40.269170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
답 23
48.9%
임 6
 
12.8%
전 6
 
12.8%
목 4
 
8.5%
임+전 2
 
4.3%
장 2
 
4.3%
임+전+잡 1
 
2.1%
창 1
 
2.1%
도+구 1
 
2.1%
도 1
 
2.1%

지적(제곱미터)
Real number (ℝ)

HIGH CORRELATION 

Distinct38
Distinct (%)80.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12387.738
Minimum76
Maximum135247
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size555.0 B
2024-01-10T07:08:40.368691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum76
5-th percentile932.55
Q12012
median3976.3
Q38956.5
95-th percentile53337.9
Maximum135247
Range135171
Interquartile range (IQR)6944.5

Descriptive statistics

Standard deviation23781.227
Coefficient of variation (CV)1.9197392
Kurtosis16.097829
Mean12387.738
Median Absolute Deviation (MAD)2515.3
Skewness3.7397033
Sum582223.7
Variance5.6554677 × 108
MonotonicityNot monotonic
2024-01-10T07:08:40.487495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
2012.0 3
 
6.4%
3976.3 3
 
6.4%
5429.0 2
 
4.3%
5489.2 2
 
4.3%
959.5 2
 
4.3%
17131.0 2
 
4.3%
15382.0 2
 
4.3%
660.0 1
 
2.1%
1213.0 1
 
2.1%
6149.6 1
 
2.1%
Other values (28) 28
59.6%
ValueCountFrequency (%)
76.0 1
 
2.1%
660.0 1
 
2.1%
921.0 1
 
2.1%
959.5 2
4.3%
1213.0 1
 
2.1%
1359.0 1
 
2.1%
1396.0 1
 
2.1%
1461.0 1
 
2.1%
1473.0 1
 
2.1%
2012.0 3
6.4%
ValueCountFrequency (%)
135247.0 1
2.1%
74978.0 1
2.1%
58692.0 1
2.1%
40845.0 1
2.1%
37573.0 1
2.1%
31081.0 1
2.1%
17131.0 2
4.3%
15382.0 2
4.3%
10662.0 1
2.1%
9950.0 1
2.1%

용도지역
Categorical

Distinct9
Distinct (%)19.1%
Missing0
Missing (%)0.0%
Memory size508.0 B
생산관리
20 
계획관리
9 
농림
7 
농림지역
4 
자연녹지
3 
Other values (4)
4 

Length

Max length7
Median length4
Mean length3.7234043
Min length2

Unique

Unique4 ?
Unique (%)8.5%

Sample

1st row생산관리
2nd row생산관리
3rd row생산관리
4th row농림지역
5th row자연녹지

Common Values

ValueCountFrequency (%)
생산관리 20
42.6%
계획관리 9
19.1%
농림 7
 
14.9%
농림지역 4
 
8.5%
자연녹지 3
 
6.4%
녹지 1
 
2.1%
일반공업 1
 
2.1%
계획관리+농림 1
 
2.1%
보전관리 1
 
2.1%

Length

2024-01-10T07:08:40.622171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:08:40.736835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
생산관리 20
42.6%
계획관리 9
19.1%
농림 7
 
14.9%
농림지역 4
 
8.5%
자연녹지 3
 
6.4%
녹지 1
 
2.1%
일반공업 1
 
2.1%
계획관리+농림 1
 
2.1%
보전관리 1
 
2.1%

허가면적(제곱미터)
Real number (ℝ)

HIGH CORRELATION 

Distinct38
Distinct (%)80.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3602.8723
Minimum76
Maximum28335
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size555.0 B
2024-01-10T07:08:40.864320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum76
5-th percentile164.8
Q1464
median1396
Q33748
95-th percentile13721.4
Maximum28335
Range28259
Interquartile range (IQR)3284

Descriptive statistics

Standard deviation5370.6425
Coefficient of variation (CV)1.4906558
Kurtosis10.061068
Mean3602.8723
Median Absolute Deviation (MAD)1039
Skewness2.9385359
Sum169335
Variance28843801
MonotonicityNot monotonic
2024-01-10T07:08:40.975938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
464 3
 
6.4%
454 2
 
4.3%
5429 2
 
4.3%
3305 2
 
4.3%
1362 2
 
4.3%
2000 2
 
4.3%
451 2
 
4.3%
960 2
 
4.3%
76 1
 
2.1%
902 1
 
2.1%
Other values (28) 28
59.6%
ValueCountFrequency (%)
76 1
 
2.1%
99 1
 
2.1%
160 1
 
2.1%
176 1
 
2.1%
230 1
 
2.1%
300 1
 
2.1%
451 2
4.3%
454 2
4.3%
464 3
6.4%
902 1
 
2.1%
ValueCountFrequency (%)
28335 1
2.1%
18233 1
2.1%
15318 1
2.1%
9996 1
2.1%
9950 1
2.1%
9500 1
2.1%
7963 1
2.1%
5429 2
4.3%
4950 1
2.1%
4470 1
2.1%

허가일자
Date

Distinct31
Distinct (%)66.0%
Missing0
Missing (%)0.0%
Memory size508.0 B
Minimum2023-01-06 00:00:00
Maximum2023-11-21 00:00:00
2024-01-10T07:08:41.289129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:08:41.373733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)

허가내용
Text

Distinct25
Distinct (%)53.2%
Missing0
Missing (%)0.0%
Memory size508.0 B
2024-01-10T07:08:41.532848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length18
Mean length11.787234
Min length4

Characters and Unicode

Total characters554
Distinct characters86
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique16 ?
Unique (%)34.0%

Sample

1st row태양광발전시설 부지 조성
2nd row태양광발전시설 부지 조성
3rd row태양광발전시설 부지 조성
4th row콘크리트 포장
5th row버섯재배사
ValueCountFrequency (%)
부지조성 12
12.6%
태양광발전시설 11
 
11.6%
태양광발전시설(건물 9
 
9.5%
위 9
 
9.5%
태양광발전시설(건물위 6
 
6.3%
조성 5
 
5.3%
현장사무실 5
 
5.3%
부지 4
 
4.2%
설치 3
 
3.2%
우량농지조성 2
 
2.1%
Other values (25) 29
30.5%
2024-01-10T07:08:41.812999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
48
 
8.7%
설 34
 
6.1%
시 29
 
5.2%
전 28
 
5.1%
발 27
 
4.9%
태 26
 
4.7%
광 26
 
4.7%
양 26
 
4.7%
지 23
 
4.2%
성 19
 
3.4%
Other values (76) 268
48.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 469
84.7%
Space Separator 48
 
8.7%
Close Punctuation 17
 
3.1%
Open Punctuation 17
 
3.1%
Decimal Number 2
 
0.4%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
설 34
 
7.2%
시 29
 
6.2%
전 28
 
6.0%
발 27
 
5.8%
태 26
 
5.5%
광 26
 
5.5%
양 26
 
5.5%
지 23
 
4.9%
성 19
 
4.1%
조 19
 
4.1%
Other values (70) 212
45.2%
Decimal Number
ValueCountFrequency (%)
2 1
50.0%
1 1
50.0%
Space Separator
ValueCountFrequency (%)
48
100.0%
Close Punctuation
ValueCountFrequency (%)
) 17
100.0%
Open Punctuation
ValueCountFrequency (%)
( 17
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 469
84.7%
Common 85
 
15.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
설 34
 
7.2%
시 29
 
6.2%
전 28
 
6.0%
발 27
 
5.8%
태 26
 
5.5%
광 26
 
5.5%
양 26
 
5.5%
지 23
 
4.9%
성 19
 
4.1%
조 19
 
4.1%
Other values (70) 212
45.2%
Common
ValueCountFrequency (%)
48
56.5%
) 17
 
20.0%
( 17
 
20.0%
2 1
 
1.2%
, 1
 
1.2%
1 1
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 469
84.7%
ASCII 85
 
15.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
48
56.5%
) 17
 
20.0%
( 17
 
20.0%
2 1
 
1.2%
, 1
 
1.2%
1 1
 
1.2%
Hangul
ValueCountFrequency (%)
설 34
 
7.2%
시 29
 
6.2%
전 28
 
6.0%
발 27
 
5.8%
태 26
 
5.5%
광 26
 
5.5%
양 26
 
5.5%
지 23
 
4.9%
성 19
 
4.1%
조 19
 
4.1%
Other values (70) 212
45.2%

Interactions

2024-01-10T07:08:38.967954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:08:38.831701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:08:39.035455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:08:38.901021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T07:08:41.891093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
읍면동리번지지목지적(제곱미터)용도지역허가면적(제곱미터)허가일자허가내용
읍면동1.0001.0001.0000.6610.5290.6180.2980.9300.938
리1.0001.0001.0000.9400.8740.7950.8940.9860.978
번지1.0001.0001.0001.0001.0001.0001.0000.9910.997
지목0.6610.9401.0001.0000.8680.0590.8510.9520.829
지적(제곱미터)0.5290.8741.0000.8681.0000.6860.9250.7600.842
용도지역0.6180.7951.0000.0590.6861.0000.0000.7570.947
허가면적(제곱미터)0.2980.8941.0000.8510.9250.0001.0000.8390.893
허가일자0.9300.9860.9910.9520.7600.7570.8391.0000.984
허가내용0.9380.9780.9970.8290.8420.9470.8930.9841.000
2024-01-10T07:08:41.981586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
용도지역읍면동리지목
용도지역1.0000.3530.3520.000
읍면동0.3531.0000.7840.377
리0.3520.7841.0000.582
지목0.0000.3770.5821.000
2024-01-10T07:08:42.054229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지적(제곱미터)허가면적(제곱미터)읍면동리지목용도지역
지적(제곱미터)1.0000.6230.3090.4750.6580.437
허가면적(제곱미터)0.6231.0000.1510.5080.6290.000
읍면동0.3090.1511.0000.7840.3770.353
리0.4750.5080.7841.0000.5820.352
지목0.6580.6290.3770.5821.0000.000
용도지역0.4370.0000.3530.3520.0001.000

Missing values

2024-01-10T07:08:39.123004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T07:08:39.231160image/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

시군읍면동리번지지목지적(제곱미터)용도지역허가면적(제곱미터)허가일자허가내용
0청양군청양읍청수리106-8임1473.0생산관리14732023-01-06태양광발전시설 부지 조성
1청양군청양읍청수리106-3번지외 2필지임2060.0생산관리20602023-01-06태양광발전시설 부지 조성
2청양군청양읍청수리106-4번지 외 1필지임7963.0생산관리79632023-01-06태양광발전시설 부지 조성
3청양군비봉면양사리963-3번지답1359.0농림지역1602023-01-12콘크리트 포장
4청양군청양읍학당리산45임31081.0자연녹지95002023-01-25버섯재배사
5청양군청양읍학당리240-5답3672.0자연녹지36722023-02-16제1,2종근린생활시설
6청양군운곡면영양리산56-4번지 외4필지임+전9950.0계획관리99502023-03-02표고버섯재배사
7청양군청양읍학당리산62-1 번지 외 6필지임+전58692.0계획관리99962023-02-17태양광발전시설 부지 조성
8청양군운곡면강정리산8-1 외 9필지임+전+잡40845.0계획관리283352023-03-06순환골재 야적장부지 조성
9청양군대치면시전리190-1전921.0생산관리3002023-02-07야영장시설(주차장) 부지조성
시군읍면동리번지지목지적(제곱미터)용도지역허가면적(제곱미터)허가일자허가내용
37청양군청남면동강리677-13답2012.0농림지역4642023-09-12태양광발전시설(건물 위)
38청양군청남면동강리677-13답2012.0농림지역4642023-09-12태양광발전시설(건물 위)
39청양군청양읍벽천리180-14전76.0계획관리762023-09-25주택 부지확장
40청양군청양읍장승리563-3답5489.2생산관리33052023-10-04장승천 정비사업 현장사무실 부지조성
41청양군비봉면신원리857-11답959.5생산관리9602023-10-10육묘장 부지조성
42청양군장평면은곡리681-16 외 16필지도+구6912.0계획관리182332023-11-03태양광발전시설
43청양군비봉면신원리857-11답959.5생산관리9602023-11-06육묘장 부지조성
44청양군목면신흥리199-1번지 외 2필지답5429.0생산관리54292023-11-16태양광발전시설 부지조성
45청양군목면신흥리201-1전4980.0생산관리24352023-11-20태양광발전시설 설치
46청양군장평면은곡리680-21 외 3필지도10662.0농림38242023-11-21태양광발전시설 설치

Duplicate rows

Most frequently occurring

시군읍면동리번지지목지적(제곱미터)용도지역허가면적(제곱미터)허가일자허가내용# duplicates
3청양군청남면동강리677-13답2012.0농림지역4642023-09-12태양광발전시설(건물 위)3
0청양군목면화양리1044-12답3976.3농림4512023-04-21태양광발전시설(건물위)2
1청양군장평면미당리141-3목15382.0생산관리13622023-08-08태양광발전시설(건물 위)2
2청양군장평면미당리141-3외 1필지목17131.0생산관리4542023-08-08태양광발전시설(건물 위)2