Overview

Dataset statistics

Number of variables10
Number of observations26
Missing cells2
Missing cells (%)0.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.2 KiB
Average record size in memory87.1 B

Variable types

Categorical4
Text3
Numeric2
DateTime1

Dataset

Description보령시 개발행위허가정보(개발행위허가에 대한 위치, 지목, 지역, 면적, 개발행위명, 허가목적, 허가일 등을 제공합니다.)
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=416&beforeMenuCd=DOM_000000201001001000&publicdatapk=15039678

Alerts

시군 has constant value ""Constant
지적 is highly overall correlated with 허가면적High correlation
허가면적 is highly overall correlated with 지적High correlation
읍면동 is highly overall correlated with 용도지역High correlation
용도지역 is highly overall correlated with 읍면동High correlation
리 has 2 (7.7%) missing valuesMissing
지적 has unique valuesUnique
허가면적 has unique valuesUnique

Reproduction

Analysis started2024-01-09 23:13:51.766519
Analysis finished2024-01-09 23:13:52.780352
Duration1.01 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군
Categorical

CONSTANT 

Distinct1
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size340.0 B
보령시
26 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
보령시 26
100.0%

Length

2024-01-10T08:13:53.091178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T08:13:53.183820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
보령시 26
100.0%

읍면동
Categorical

HIGH CORRELATION 

Distinct11
Distinct (%)42.3%
Missing0
Missing (%)0.0%
Memory size340.0 B
천북면
8 
주산면
4 
주교면
3 
남포면
2 
웅천읍
2 
Other values (6)
7 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique5 ?
Unique (%)19.2%

Sample

1st row천북면
2nd row천북면
3rd row남포면
4th row주교면
5th row주산면

Common Values

ValueCountFrequency (%)
천북면 8
30.8%
주산면 4
15.4%
주교면 3
 
11.5%
남포면 2
 
7.7%
웅천읍 2
 
7.7%
성주면 2
 
7.7%
오천면 1
 
3.8%
대천동 1
 
3.8%
주포면 1
 
3.8%
화산동 1
 
3.8%

Length

2024-01-10T08:13:53.290947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
천북면 8
30.8%
주산면 4
15.4%
주교면 3
 
11.5%
남포면 2
 
7.7%
웅천읍 2
 
7.7%
성주면 2
 
7.7%
오천면 1
 
3.8%
대천동 1
 
3.8%
주포면 1
 
3.8%
화산동 1
 
3.8%

리
Text

MISSING 

Distinct18
Distinct (%)75.0%
Missing2
Missing (%)7.7%
Memory size340.0 B
2024-01-10T08:13:53.461307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.9583333
Min length2

Characters and Unicode

Total characters71
Distinct characters29
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique13 ?
Unique (%)54.2%

Sample

1st row신죽리
2nd row학성리
3rd row양항리
4th row주교리
5th row창암리
ValueCountFrequency (%)
학성리 3
 
12.5%
창암리 2
 
8.3%
증산리 2
 
8.3%
양항리 2
 
8.3%
주교리 2
 
8.3%
성동리 1
 
4.2%
신죽리 1
 
4.2%
성주리 1
 
4.2%
개화리 1
 
4.2%
사호리 1
 
4.2%
Other values (8) 8
33.3%
2024-01-10T08:13:53.720837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
리 24
33.8%
성 6
 
8.5%
학 4
 
5.6%
주 3
 
4.2%
교 3
 
4.2%
산 2
 
2.8%
동 2
 
2.8%
양 2
 
2.8%
항 2
 
2.8%
증 2
 
2.8%
Other values (19) 21
29.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 71
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 24
33.8%
성 6
 
8.5%
학 4
 
5.6%
주 3
 
4.2%
교 3
 
4.2%
산 2
 
2.8%
동 2
 
2.8%
양 2
 
2.8%
항 2
 
2.8%
증 2
 
2.8%
Other values (19) 21
29.6%

Most occurring scripts

ValueCountFrequency (%)
Hangul 71
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 24
33.8%
성 6
 
8.5%
학 4
 
5.6%
주 3
 
4.2%
교 3
 
4.2%
산 2
 
2.8%
동 2
 
2.8%
양 2
 
2.8%
항 2
 
2.8%
증 2
 
2.8%
Other values (19) 21
29.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 71
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
리 24
33.8%
성 6
 
8.5%
학 4
 
5.6%
주 3
 
4.2%
교 3
 
4.2%
산 2
 
2.8%
동 2
 
2.8%
양 2
 
2.8%
항 2
 
2.8%
증 2
 
2.8%
Other values (19) 21
29.6%

번지
Text

Distinct25
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Memory size340.0 B
2024-01-10T08:13:53.890461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length5.2692308
Min length3

Characters and Unicode

Total characters137
Distinct characters18
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)92.3%

Sample

1st row891-1
2nd row742-1
3rd row1129-12
4th row1537
5th row03월 13일
ValueCountFrequency (%)
742-1 2
 
6.9%
13일 2
 
6.9%
853-6 1
 
3.4%
jul-98 1
 
3.4%
산70-15 1
 
3.4%
산70 1
 
3.4%
642-8 1
 
3.4%
514-6 1
 
3.4%
산33-1 1
 
3.4%
산169-1 1
 
3.4%
Other values (17) 17
58.6%
2024-01-10T08:13:54.196617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 27
19.7%
- 19
13.9%
2 12
8.8%
3 12
8.8%
6 9
 
6.6%
4 8
 
5.8%
7 7
 
5.1%
산 7
 
5.1%
5 6
 
4.4%
9 6
 
4.4%
Other values (8) 24
17.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 99
72.3%
Dash Punctuation 19
 
13.9%
Other Letter 13
 
9.5%
Space Separator 3
 
2.2%
Lowercase Letter 2
 
1.5%
Uppercase Letter 1
 
0.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 27
27.3%
2 12
12.1%
3 12
12.1%
6 9
 
9.1%
4 8
 
8.1%
7 7
 
7.1%
5 6
 
6.1%
9 6
 
6.1%
0 6
 
6.1%
8 6
 
6.1%
Other Letter
ValueCountFrequency (%)
산 7
53.8%
월 3
23.1%
일 3
23.1%
Lowercase Letter
ValueCountFrequency (%)
u 1
50.0%
l 1
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 19
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%
Uppercase Letter
ValueCountFrequency (%)
J 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 121
88.3%
Hangul 13
 
9.5%
Latin 3
 
2.2%

Most frequent character per script

Common
ValueCountFrequency (%)
1 27
22.3%
- 19
15.7%
2 12
9.9%
3 12
9.9%
6 9
 
7.4%
4 8
 
6.6%
7 7
 
5.8%
5 6
 
5.0%
9 6
 
5.0%
0 6
 
5.0%
Other values (2) 9
 
7.4%
Hangul
ValueCountFrequency (%)
산 7
53.8%
월 3
23.1%
일 3
23.1%
Latin
ValueCountFrequency (%)
J 1
33.3%
u 1
33.3%
l 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 124
90.5%
Hangul 13
 
9.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 27
21.8%
- 19
15.3%
2 12
9.7%
3 12
9.7%
6 9
 
7.3%
4 8
 
6.5%
7 7
 
5.6%
5 6
 
4.8%
9 6
 
4.8%
0 6
 
4.8%
Other values (5) 12
9.7%
Hangul
ValueCountFrequency (%)
산 7
53.8%
월 3
23.1%
일 3
23.1%

지목
Categorical

Distinct11
Distinct (%)42.3%
Missing0
Missing (%)0.0%
Memory size340.0 B
답
6 
임
6 
전,답
4 
전
2 
임,전
2 
Other values (6)
6 

Length

Max length9
Median length1
Mean length2
Min length1

Unique

Unique6 ?
Unique (%)23.1%

Sample

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

Common Values

ValueCountFrequency (%)
답 6
23.1%
임 6
23.1%
전,답 4
15.4%
전 2
 
7.7%
임,전 2
 
7.7%
잡,임 1
 
3.8%
전,과 1
 
3.8%
과,전,임,창,잡 1
 
3.8%
천 1
 
3.8%
임,잡 1
 
3.8%

Length

2024-01-10T08:13:54.322179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
답 6
23.1%
임 6
23.1%
전,답 4
15.4%
전 2
 
7.7%
임,전 2
 
7.7%
잡,임 1
 
3.8%
전,과 1
 
3.8%
과,전,임,창,잡 1
 
3.8%
천 1
 
3.8%
임,잡 1
 
3.8%

지적
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17890.308
Minimum543
Maximum64872
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2024-01-10T08:13:54.432843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum543
5-th percentile1180
Q13414.5
median6956.5
Q334505.5
95-th percentile51710.75
Maximum64872
Range64329
Interquartile range (IQR)31091

Descriptive statistics

Standard deviation19482.64
Coefficient of variation (CV)1.0890053
Kurtosis-0.18637704
Mean17890.308
Median Absolute Deviation (MAD)5694.5
Skewness1.0597588
Sum465148
Variance3.7957326 × 108
MonotonicityNot monotonic
2024-01-10T08:13:54.553574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
7203 1
 
3.8%
14808 1
 
3.8%
1098 1
 
3.8%
21264 1
 
3.8%
52159 1
 
3.8%
2093 1
 
3.8%
39005 1
 
3.8%
38626 1
 
3.8%
39414 1
 
3.8%
22144 1
 
3.8%
Other values (16) 16
61.5%
ValueCountFrequency (%)
543 1
3.8%
1098 1
3.8%
1426 1
3.8%
1835 1
3.8%
2093 1
3.8%
2552 1
3.8%
3233 1
3.8%
3959 1
3.8%
4215 1
3.8%
5107 1
3.8%
ValueCountFrequency (%)
64872 1
3.8%
52159 1
3.8%
50366 1
3.8%
44132 1
3.8%
39414 1
3.8%
39005 1
3.8%
38626 1
3.8%
22144 1
3.8%
21264 1
3.8%
18625 1
3.8%

용도지역
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)30.8%
Missing0
Missing (%)0.0%
Memory size340.0 B
농림지역
7 
계획관리
6 
보전관리
5 
농림,생산관리
3 
생산관리
2 
Other values (3)
3 

Length

Max length7
Median length4
Mean length4.6153846
Min length4

Unique

Unique3 ?
Unique (%)11.5%

Sample

1st row농림지역
2nd row농림지역
3rd row농림지역
4th row농림지역
5th row보전관리

Common Values

ValueCountFrequency (%)
농림지역 7
26.9%
계획관리 6
23.1%
보전관리 5
19.2%
농림,생산관리 3
11.5%
생산관리 2
 
7.7%
준공업지역 1
 
3.8%
농림,계획관리 1
 
3.8%
계획,보전관리 1
 
3.8%

Length

2024-01-10T08:13:54.691877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T08:13:54.797420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
농림지역 7
26.9%
계획관리 6
23.1%
보전관리 5
19.2%
농림,생산관리 3
11.5%
생산관리 2
 
7.7%
준공업지역 1
 
3.8%
농림,계획관리 1
 
3.8%
계획,보전관리 1
 
3.8%

허가면적
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7782.8846
Minimum99
Maximum29788
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2024-01-10T08:13:54.904318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum99
5-th percentile613.75
Q12207.75
median4580.5
Q37079.75
95-th percentile28790
Maximum29788
Range29689
Interquartile range (IQR)4872

Descriptive statistics

Standard deviation9221.0393
Coefficient of variation (CV)1.1847843
Kurtosis1.5660999
Mean7782.8846
Median Absolute Deviation (MAD)2555
Skewness1.6993632
Sum202355
Variance85027565
MonotonicityNot monotonic
2024-01-10T08:13:55.011942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
7203 1
 
3.8%
5346 1
 
3.8%
1098 1
 
3.8%
13351 1
 
3.8%
8597 1
 
3.8%
2093 1
 
3.8%
29788 1
 
3.8%
3660 1
 
3.8%
24857 1
 
3.8%
4889 1
 
3.8%
Other values (16) 16
61.5%
ValueCountFrequency (%)
99 1
3.8%
543 1
3.8%
826 1
3.8%
1051 1
3.8%
1098 1
3.8%
1105 1
3.8%
2093 1
3.8%
2552 1
3.8%
3660 1
3.8%
3959 1
3.8%
ValueCountFrequency (%)
29788 1
3.8%
29131 1
3.8%
27767 1
3.8%
24857 1
3.8%
13351 1
3.8%
8597 1
3.8%
7203 1
3.8%
6710 1
3.8%
5494 1
3.8%
5346 1
3.8%

허가일자
Date

Distinct18
Distinct (%)69.2%
Missing0
Missing (%)0.0%
Memory size340.0 B
Minimum2019-03-06 00:00:00
Maximum2019-04-30 00:00:00
2024-01-10T08:13:55.113367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T08:13:55.209591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)

허가내용
Text

Distinct24
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Memory size340.0 B
2024-01-10T08:13:55.417737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length19.5
Mean length14.576923
Min length3

Characters and Unicode

Total characters379
Distinct characters104
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)84.6%

Sample

1st row가축분뇨 공동자원화시설 증설
2nd row양식장부대시설(친환경 히트펌프실) 부지조성
3rd row규사광산개발(토석채취)
4th row성토 후 우량농지조성
5th row발전시설(태양광발전)부지조성
ValueCountFrequency (%)
및 6
 
9.4%
부지조성 6
 
9.4%
조성 4
 
6.2%
발전시설(태양광발전)부지조성 3
 
4.7%
태양광발전소 3
 
4.7%
진출입로 2
 
3.1%
버섯재배사 2
 
3.1%
발전시설(태양광발전시설 2
 
3.1%
진입로 1
 
1.6%
발전시설(태양광발전소 1
 
1.6%
Other values (34) 34
53.1%
2024-01-10T08:13:55.791681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
38
 
10.0%
발 16
 
4.2%
성 16
 
4.2%
지 16
 
4.2%
전 16
 
4.2%
조 15
 
4.0%
설 15
 
4.0%
( 14
 
3.7%
) 14
 
3.7%
양 13
 
3.4%
Other values (94) 206
54.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 306
80.7%
Space Separator 38
 
10.0%
Open Punctuation 14
 
3.7%
Close Punctuation 14
 
3.7%
Decimal Number 3
 
0.8%
Other Punctuation 2
 
0.5%
Math Symbol 1
 
0.3%
Uppercase Letter 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
발 16
 
5.2%
성 16
 
5.2%
지 16
 
5.2%
전 16
 
5.2%
조 15
 
4.9%
설 15
 
4.9%
양 13
 
4.2%
부 12
 
3.9%
시 12
 
3.9%
광 11
 
3.6%
Other values (86) 164
53.6%
Decimal Number
ValueCountFrequency (%)
1 2
66.7%
3 1
33.3%
Space Separator
ValueCountFrequency (%)
38
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Uppercase Letter
ValueCountFrequency (%)
L 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 306
80.7%
Common 72
 
19.0%
Latin 1
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
발 16
 
5.2%
성 16
 
5.2%
지 16
 
5.2%
전 16
 
5.2%
조 15
 
4.9%
설 15
 
4.9%
양 13
 
4.2%
부 12
 
3.9%
시 12
 
3.9%
광 11
 
3.6%
Other values (86) 164
53.6%
Common
ValueCountFrequency (%)
38
52.8%
( 14
 
19.4%
) 14
 
19.4%
1 2
 
2.8%
, 2
 
2.8%
3 1
 
1.4%
~ 1
 
1.4%
Latin
ValueCountFrequency (%)
L 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 306
80.7%
ASCII 73
 
19.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
38
52.1%
( 14
 
19.2%
) 14
 
19.2%
1 2
 
2.7%
, 2
 
2.7%
3 1
 
1.4%
~ 1
 
1.4%
L 1
 
1.4%
Hangul
ValueCountFrequency (%)
발 16
 
5.2%
성 16
 
5.2%
지 16
 
5.2%
전 16
 
5.2%
조 15
 
4.9%
설 15
 
4.9%
양 13
 
4.2%
부 12
 
3.9%
시 12
 
3.9%
광 11
 
3.6%
Other values (86) 164
53.6%

Interactions

2024-01-10T08:13:52.336157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T08:13:52.154596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T08:13:52.437884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T08:13:52.233853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T08:13:55.889056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
읍면동리번지지목지적용도지역허가면적허가일자허가내용
읍면동1.0001.0001.0000.7990.1990.8390.0000.9531.000
리1.0001.0001.0000.9470.9150.9860.7760.9201.000
번지1.0001.0001.0001.0001.0001.0000.9630.9760.962
지목0.7990.9471.0001.0000.6930.6040.0000.9180.938
지적0.1990.9151.0000.6931.0000.6780.7650.0000.801
용도지역0.8390.9861.0000.6040.6781.0000.2310.9131.000
허가면적0.0000.7760.9630.0000.7650.2311.0000.0000.000
허가일자0.9530.9200.9760.9180.0000.9130.0001.0001.000
허가내용1.0001.0000.9620.9380.8011.0000.0001.0001.000
2024-01-10T08:13:55.996411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
용도지역읍면동지목
용도지역1.0000.5410.277
읍면동0.5411.0000.321
지목0.2770.3211.000
2024-01-10T08:13:56.082017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지적허가면적읍면동지목용도지역
지적1.0000.8060.1090.3120.382
허가면적0.8061.0000.0000.0000.046
읍면동0.1090.0001.0000.3210.541
지목0.3120.0000.3211.0000.277
용도지역0.3820.0460.5410.2771.000

Missing values

2024-01-10T08:13:52.566929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T08:13:52.716846image/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

시군읍면동리번지지목지적용도지역허가면적허가일자허가내용
0보령시천북면신죽리891-1답7203농림지역72032019-03-06가축분뇨 공동자원화시설 증설
1보령시천북면학성리742-1전,답5558농림지역8262019-03-06양식장부대시설(친환경 히트펌프실) 부지조성
2보령시남포면양항리1129-12답5107농림지역48512019-03-08규사광산개발(토석채취)
3보령시주교면주교리1537답4215농림지역42152019-03-11성토 후 우량농지조성
4보령시주산면창암리03월 13일전,답1835보전관리11052019-03-12발전시설(태양광발전)부지조성
5보령시주산면창암리01월 13일전,답3233보전관리10512019-03-12발전시설(태양광발전)부지조성
6보령시주교면송학리149-6잡,임543보전관리5432019-03-15제1종근생시설(마을공동작업장) 부지확장 및 콘크리트포장
7보령시남포면양항리1121-6답50366농림지역291312019-03-19광물(규사)채굴 및 운반로 조성
8보령시오천면교성리06월 04일전6710생산관리67102019-03-21우량농지 조성
9보령시주교면주교리813-6전1426계획관리992019-03-28가족자연장지 부지조성
시군읍면동리번지지목지적용도지역허가면적허가일자허가내용
16보령시천북면학성리742-1전,답5403농림지역43102019-04-09양식장(해삼,넙치)
17보령시성주면성주리127-4임,전18625계획관리54942019-04-09버섯재배사
18보령시천북면장은리산159-13임22144계획,보전관리48892019-04-11발전시설(태양광발전)부지조성 및 진출입로
19보령시천북면사호리산169-1임39414보전관리248572019-04-11보령1~3, 모건 태양광발전소 부지조성
20보령시화산동<NA>산33-1임38626계획관리36602019-04-11버섯재배사 부지조성
21보령시웅천읍성동리514-6과,전,임,창,잡39005농림,생산관리297882019-04-12발전시설(태양광발전소) 및 진입로
22보령시성주면개화리642-8천2093계획관리20932019-04-17자연석(석재)야적장 부지조성
23보령시주산면증산리산70임,잡52159농림,생산관리85972019-04-29발전시설(태양광발전시설)
24보령시주산면증산리산70-15임21264농림,생산관리133512019-04-29발전시설(태양광발전시설)
25보령시청라면향천리743잡1098생산관리10982019-04-30전주야적장 조성