Overview

Dataset statistics

Number of variables34
Number of observations213
Missing cells2593
Missing cells (%)35.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory61.9 KiB
Average record size in memory297.6 B

Variable types

Text2
DateTime1
Categorical14
Unsupported6
Numeric11

Dataset

Description산림임업통계플랫폼에서 제공하는 연도별 미세먼지 저감사업 조사(바람길숲, 차단숲 일반·토지현황조사표) 통계 데이터 정보를 CSV 파일형태로 제공하고 있습니다.
Author산림청
URLhttps://www.data.go.kr/data/15122957/fileData.do

Alerts

소 속 has constant value ""Constant
표본점 종류 has constant value ""Constant
위성항법장치(GPS) 수신상태 has constant value ""Constant
조사가능 is highly imbalanced (92.3%)Imbalance
토지유형(농업지) is highly imbalanced (89.1%)Imbalance
토지유형(공공용지) is highly imbalanced (81.7%)Imbalance
토지유형(시설용지) is highly imbalanced (83.1%)Imbalance
토지유형(공터) is highly imbalanced (94.6%)Imbalance
피복도(천연잔디) is highly imbalanced (91.7%)Imbalance
피복도(농작물) is highly imbalanced (92.6%)Imbalance
피복도(기타 불투수층) is highly imbalanced (95.7%)Imbalance
표본점 유형 has 213 (100.0%) missing valuesMissing
토지유형(묘지) has 213 (100.0%) missing valuesMissing
토지유형(상업_공업지) has 102 (47.9%) missing valuesMissing
토지유형(골프장) has 213 (100.0%) missing valuesMissing
토지유형(다세대 주택지) has 178 (83.6%) missing valuesMissing
토지유형(단독 주택지) has 213 (100.0%) missing valuesMissing
토지유형(공원) has 172 (80.8%) missing valuesMissing
토지유형(교통시설) has 70 (32.9%) missing valuesMissing
토지유형(수계_습지) has 213 (100.0%) missing valuesMissing
피복도(나지) has 184 (86.4%) missing valuesMissing
피복도(건물) has 115 (54.0%) missing valuesMissing
피복도(시멘트) has 155 (72.8%) missing valuesMissing
피복도(타르) has 35 (16.4%) missing valuesMissing
피복도(투과암석) has 57 (26.8%) missing valuesMissing
피복도(낙엽층) has 197 (92.5%) missing valuesMissing
피복도(인공잔디) has 50 (23.5%) missing valuesMissing
피복도(유역) has 213 (100.0%) missing valuesMissing
표본점번호 has unique valuesUnique
표본점 유형 is an unsupported type, check if it needs cleaning or further analysisUnsupported
토지유형(묘지) is an unsupported type, check if it needs cleaning or further analysisUnsupported
토지유형(골프장) is an unsupported type, check if it needs cleaning or further analysisUnsupported
토지유형(단독 주택지) is an unsupported type, check if it needs cleaning or further analysisUnsupported
토지유형(수계_습지) is an unsupported type, check if it needs cleaning or further analysisUnsupported
피복도(유역) is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-03-14 17:09:05.028165
Analysis finished2024-03-14 17:09:05.570591
Duration0.54 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

표본점번호
Text

UNIQUE 

Distinct213
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2024-03-15T02:09:06.418664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length11
Min length11

Characters and Unicode

Total characters2343
Distinct characters13
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique213 ?
Unique (%)100.0%

Sample

1st rowB41-001-1-4
2nd rowB41-001-1-3
3rd rowB41-001-1-2
4th rowB41-001-1-1
5th rowB28-001-7-3
ValueCountFrequency (%)
b41-001-1-4 1
 
0.5%
w45-015-1-2 1
 
0.5%
b27-001-6-3 1
 
0.5%
b27-001-6-2 1
 
0.5%
b27-001-6-1 1
 
0.5%
b47-001-1-6 1
 
0.5%
b47-001-1-5 1
 
0.5%
b47-001-6-3 1
 
0.5%
b47-001-6-2 1
 
0.5%
b47-001-6-1 1
 
0.5%
Other values (203) 203
95.3%
2024-03-15T02:09:07.867785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 639
27.3%
0 441
18.8%
1 363
15.5%
2 159
 
6.8%
3 156
 
6.7%
4 127
 
5.4%
W 114
 
4.9%
B 99
 
4.2%
5 88
 
3.8%
7 82
 
3.5%
Other values (3) 75
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1491
63.6%
Dash Punctuation 639
27.3%
Uppercase Letter 213
 
9.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 441
29.6%
1 363
24.3%
2 159
 
10.7%
3 156
 
10.5%
4 127
 
8.5%
5 88
 
5.9%
7 82
 
5.5%
8 46
 
3.1%
6 19
 
1.3%
9 10
 
0.7%
Uppercase Letter
ValueCountFrequency (%)
W 114
53.5%
B 99
46.5%
Dash Punctuation
ValueCountFrequency (%)
- 639
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2130
90.9%
Latin 213
 
9.1%

Most frequent character per script

Common
ValueCountFrequency (%)
- 639
30.0%
0 441
20.7%
1 363
17.0%
2 159
 
7.5%
3 156
 
7.3%
4 127
 
6.0%
5 88
 
4.1%
7 82
 
3.8%
8 46
 
2.2%
6 19
 
0.9%
Latin
ValueCountFrequency (%)
W 114
53.5%
B 99
46.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2343
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 639
27.3%
0 441
18.8%
1 363
15.5%
2 159
 
6.8%
3 156
 
6.7%
4 127
 
5.4%
W 114
 
4.9%
B 99
 
4.2%
5 88
 
3.8%
7 82
 
3.5%
Other values (3) 75
 
3.2%

조사일자
Date

Distinct76
Distinct (%)35.7%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
Minimum2021-04-03 00:00:00
Maximum2021-10-15 00:00:00
2024-03-15T02:09:08.283744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:09:08.739598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

소 속
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
산림조합중앙회 산림자원조사본부
213 

Length

Max length16
Median length16
Mean length16
Min length16

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row산림조합중앙회 산림자원조사본부
2nd row산림조합중앙회 산림자원조사본부
3rd row산림조합중앙회 산림자원조사본부
4th row산림조합중앙회 산림자원조사본부
5th row산림조합중앙회 산림자원조사본부

Common Values

ValueCountFrequency (%)
산림조합중앙회 산림자원조사본부 213
100.0%

Length

2024-03-15T02:09:09.036620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T02:09:09.344193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
산림조합중앙회 213
50.0%
산림자원조사본부 213
50.0%

표본점 종류
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
시업
213 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
시업 213
100.0%

Length

2024-03-15T02:09:09.705163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T02:09:10.024403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
시업 213
100.0%

소재지시(도)
Categorical

Distinct6
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
대전광역시
57 
전라북도
57 
경상북도
30 
인천광역시
27 
대구광역시
27 

Length

Max length5
Median length5
Mean length4.4507042
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row경기도
2nd row경기도
3rd row경기도
4th row경기도
5th row인천광역시

Common Values

ValueCountFrequency (%)
대전광역시 57
26.8%
전라북도 57
26.8%
경상북도 30
14.1%
인천광역시 27
12.7%
대구광역시 27
12.7%
경기도 15
 
7.0%

Length

2024-03-15T02:09:10.399419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T02:09:10.820421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대전광역시 57
26.8%
전라북도 57
26.8%
경상북도 30
14.1%
인천광역시 27
12.7%
대구광역시 27
12.7%
경기도 15
 
7.0%

소재지군(구)
Categorical

Distinct6
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
서구
87 
전주시덕진구
33 
영천시
30 
중구
24 
전주시완산구
24 

Length

Max length6
Median length2
Mean length3.2816901
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row평택시
2nd row평택시
3rd row평택시
4th row평택시
5th row서구

Common Values

ValueCountFrequency (%)
서구 87
40.8%
전주시덕진구 33
 
15.5%
영천시 30
 
14.1%
중구 24
 
11.3%
전주시완산구 24
 
11.3%
평택시 15
 
7.0%

Length

2024-03-15T02:09:11.259518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T02:09:11.685727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서구 87
40.8%
전주시덕진구 33
 
15.5%
영천시 30
 
14.1%
중구 24
 
11.3%
전주시완산구 24
 
11.3%
평택시 15
 
7.0%

소재지면(동)
Categorical

Distinct19
Distinct (%)8.9%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
석남동
27 
중리동
27 
망정동
19 
금암동
18 
중화산동2가
18 
Other values (14)
104 

Length

Max length6
Median length3
Mean length3.4507042
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row포승읍
2nd row포승읍
3rd row포승읍
4th row포승읍
5th row석남동

Common Values

ValueCountFrequency (%)
석남동 27
12.7%
중리동 27
12.7%
망정동 19
8.9%
금암동 18
 
8.5%
중화산동2가 18
 
8.5%
포승읍 15
 
7.0%
둔산동 15
 
7.0%
언하동 11
 
5.2%
대사동 9
 
4.2%
우아동3가 9
 
4.2%
Other values (9) 45
21.1%

Length

2024-03-15T02:09:12.045946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
석남동 27
12.7%
중리동 27
12.7%
망정동 19
8.9%
금암동 18
 
8.5%
중화산동2가 18
 
8.5%
포승읍 15
 
7.0%
둔산동 15
 
7.0%
언하동 11
 
5.2%
오류동 9
 
4.2%
우아동3가 9
 
4.2%
Other values (9) 45
21.1%

소재지번지
Text

Distinct99
Distinct (%)46.5%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2024-03-15T02:09:13.192211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length7
Mean length4.6760563
Min length3

Characters and Unicode

Total characters996
Distinct characters19
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

Unique56 ?
Unique (%)26.3%

Sample

1st row1116
2nd row1116
3rd row1116
4th row1116
5th row582-19
ValueCountFrequency (%)
1531 15
 
6.9%
1116 9
 
4.1%
195 9
 
4.1%
676 9
 
4.1%
223-495 7
 
3.2%
248-225 6
 
2.8%
649 6
 
2.8%
430 3
 
1.4%
746 3
 
1.4%
1113 3
 
1.4%
Other values (91) 148
67.9%
2024-03-15T02:09:14.879764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 192
19.3%
5 110
11.0%
2 106
10.6%
- 99
9.9%
6 98
9.8%
4 84
8.4%
3 81
8.1%
8 61
 
6.1%
9 51
 
5.1%
7 48
 
4.8%
Other values (9) 66
 
6.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 872
87.6%
Dash Punctuation 99
 
9.9%
Other Letter 13
 
1.3%
Space Separator 5
 
0.5%
Lowercase Letter 4
 
0.4%
Uppercase Letter 2
 
0.2%
Other Punctuation 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 192
22.0%
5 110
12.6%
2 106
12.2%
6 98
11.2%
4 84
9.6%
3 81
9.3%
8 61
 
7.0%
9 51
 
5.8%
7 48
 
5.5%
0 41
 
4.7%
Other Letter
ValueCountFrequency (%)
월 5
38.5%
일 5
38.5%
산 3
23.1%
Lowercase Letter
ValueCountFrequency (%)
c 2
50.0%
t 2
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 99
100.0%
Space Separator
ValueCountFrequency (%)
5
100.0%
Uppercase Letter
ValueCountFrequency (%)
O 2
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 977
98.1%
Hangul 13
 
1.3%
Latin 6
 
0.6%

Most frequent character per script

Common
ValueCountFrequency (%)
1 192
19.7%
5 110
11.3%
2 106
10.8%
- 99
10.1%
6 98
10.0%
4 84
8.6%
3 81
8.3%
8 61
 
6.2%
9 51
 
5.2%
7 48
 
4.9%
Other values (3) 47
 
4.8%
Hangul
ValueCountFrequency (%)
월 5
38.5%
일 5
38.5%
산 3
23.1%
Latin
ValueCountFrequency (%)
O 2
33.3%
c 2
33.3%
t 2
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 983
98.7%
Hangul 13
 
1.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 192
19.5%
5 110
11.2%
2 106
10.8%
- 99
10.1%
6 98
10.0%
4 84
8.5%
3 81
8.2%
8 61
 
6.2%
9 51
 
5.2%
7 48
 
4.9%
Other values (6) 53
 
5.4%
Hangul
ValueCountFrequency (%)
월 5
38.5%
일 5
38.5%
산 3
23.1%

위성항법장치(GPS) 수신상태
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
양호
213 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
양호 213
100.0%

Length

2024-03-15T02:09:15.436348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T02:09:15.923213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
양호 213
100.0%

조사가능
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
100
211 
95
 
2

Length

Max length3
Median length3
Mean length2.9906103
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row100
2nd row100
3rd row100
4th row100
5th row100

Common Values

ValueCountFrequency (%)
100 211
99.1%
95 2
 
0.9%

Length

2024-03-15T02:09:16.515751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T02:09:16.901213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
100 211
99.1%
95 2
 
0.9%

표본점 유형
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing213
Missing (%)100.0%
Memory size2.0 KiB

토지유형(농업지)
Categorical

IMBALANCE 

Distinct6
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
<NA>
206 
25
 
2
20
 
2
5
 
1
15
 
1

Length

Max length4
Median length4
Mean length3.9295775
Min length1

Unique

Unique3 ?
Unique (%)1.4%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 206
96.7%
25 2
 
0.9%
20 2
 
0.9%
5 1
 
0.5%
15 1
 
0.5%
95 1
 
0.5%

Length

2024-03-15T02:09:17.412811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T02:09:17.968240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 206
96.7%
25 2
 
0.9%
20 2
 
0.9%
5 1
 
0.5%
15 1
 
0.5%
95 1
 
0.5%

토지유형(묘지)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing213
Missing (%)100.0%
Memory size2.0 KiB

토지유형(상업_공업지)
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)11.7%
Missing102
Missing (%)47.9%
Infinite0
Infinite (%)0.0%
Mean36.621622
Minimum5
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2024-03-15T02:09:18.330687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile5
Q17.5
median20
Q347.5
95-th percentile100
Maximum100
Range95
Interquartile range (IQR)40

Descriptive statistics

Standard deviation34.510619
Coefficient of variation (CV)0.94235638
Kurtosis-0.46272041
Mean36.621622
Median Absolute Deviation (MAD)15
Skewness1.0168889
Sum4065
Variance1190.9828
MonotonicityNot monotonic
2024-03-15T02:09:18.788691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
5 28
 
13.1%
100 21
 
9.9%
20 19
 
8.9%
30 9
 
4.2%
40 9
 
4.2%
15 7
 
3.3%
50 5
 
2.3%
10 4
 
1.9%
25 3
 
1.4%
45 3
 
1.4%
Other values (3) 3
 
1.4%
(Missing) 102
47.9%
ValueCountFrequency (%)
5 28
13.1%
10 4
 
1.9%
15 7
 
3.3%
20 19
8.9%
25 3
 
1.4%
30 9
 
4.2%
35 1
 
0.5%
40 9
 
4.2%
45 3
 
1.4%
50 5
 
2.3%
ValueCountFrequency (%)
100 21
9.9%
95 1
 
0.5%
80 1
 
0.5%
50 5
 
2.3%
45 3
 
1.4%
40 9
4.2%
35 1
 
0.5%
30 9
4.2%
25 3
 
1.4%
20 19
8.9%

토지유형(골프장)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing213
Missing (%)100.0%
Memory size2.0 KiB

토지유형(공공용지)
Categorical

IMBALANCE 

Distinct6
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
<NA>
199 
100
 
6
5
 
5
50
 
1
10
 
1

Length

Max length4
Median length4
Mean length3.8732394
Min length1

Unique

Unique3 ?
Unique (%)1.4%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 199
93.4%
100 6
 
2.8%
5 5
 
2.3%
50 1
 
0.5%
10 1
 
0.5%
35 1
 
0.5%

Length

2024-03-15T02:09:19.235004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T02:09:19.543341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 199
93.4%
100 6
 
2.8%
5 5
 
2.3%
50 1
 
0.5%
10 1
 
0.5%
35 1
 
0.5%

토지유형(다세대 주택지)
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)22.9%
Missing178
Missing (%)83.6%
Infinite0
Infinite (%)0.0%
Mean38.571429
Minimum5
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2024-03-15T02:09:19.723413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile5
Q15
median20
Q360
95-th percentile100
Maximum100
Range95
Interquartile range (IQR)55

Descriptive statistics

Standard deviation38.128487
Coefficient of variation (CV)0.98851633
Kurtosis-1.0734447
Mean38.571429
Median Absolute Deviation (MAD)15
Skewness0.73268455
Sum1350
Variance1453.7815
MonotonicityNot monotonic
2024-03-15T02:09:19.979177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
5 13
 
6.1%
100 8
 
3.8%
45 3
 
1.4%
10 3
 
1.4%
30 2
 
0.9%
50 2
 
0.9%
60 2
 
0.9%
20 2
 
0.9%
(Missing) 178
83.6%
ValueCountFrequency (%)
5 13
6.1%
10 3
 
1.4%
20 2
 
0.9%
30 2
 
0.9%
45 3
 
1.4%
50 2
 
0.9%
60 2
 
0.9%
100 8
3.8%
ValueCountFrequency (%)
100 8
3.8%
60 2
 
0.9%
50 2
 
0.9%
45 3
 
1.4%
30 2
 
0.9%
20 2
 
0.9%
10 3
 
1.4%
5 13
6.1%

토지유형(단독 주택지)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing213
Missing (%)100.0%
Memory size2.0 KiB

토지유형(공원)
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)19.5%
Missing172
Missing (%)80.8%
Infinite0
Infinite (%)0.0%
Mean85.365854
Minimum5
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2024-03-15T02:09:20.187299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile40
Q190
median100
Q3100
95-th percentile100
Maximum100
Range95
Interquartile range (IQR)10

Descriptive statistics

Standard deviation25.455605
Coefficient of variation (CV)0.29819423
Kurtosis1.9330049
Mean85.365854
Median Absolute Deviation (MAD)0
Skewness-1.7153526
Sum3500
Variance647.9878
MonotonicityNot monotonic
2024-03-15T02:09:20.374952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
100 25
 
11.7%
50 6
 
2.8%
90 4
 
1.9%
95 2
 
0.9%
20 1
 
0.5%
5 1
 
0.5%
85 1
 
0.5%
40 1
 
0.5%
(Missing) 172
80.8%
ValueCountFrequency (%)
5 1
 
0.5%
20 1
 
0.5%
40 1
 
0.5%
50 6
 
2.8%
85 1
 
0.5%
90 4
 
1.9%
95 2
 
0.9%
100 25
11.7%
ValueCountFrequency (%)
100 25
11.7%
95 2
 
0.9%
90 4
 
1.9%
85 1
 
0.5%
50 6
 
2.8%
40 1
 
0.5%
20 1
 
0.5%
5 1
 
0.5%

토지유형(교통시설)
Real number (ℝ)

MISSING 

Distinct16
Distinct (%)11.2%
Missing70
Missing (%)32.9%
Infinite0
Infinite (%)0.0%
Mean75.909091
Minimum5
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2024-03-15T02:09:20.577487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile40
Q160
median80
Q395
95-th percentile100
Maximum100
Range95
Interquartile range (IQR)35

Descriptive statistics

Standard deviation21.251648
Coefficient of variation (CV)0.27996182
Kurtosis1.2573395
Mean75.909091
Median Absolute Deviation (MAD)15
Skewness-1.1692287
Sum10855
Variance451.63252
MonotonicityNot monotonic
2024-03-15T02:09:20.780263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
95 40
18.8%
80 27
 
12.7%
50 13
 
6.1%
70 12
 
5.6%
60 10
 
4.7%
100 9
 
4.2%
85 7
 
3.3%
75 4
 
1.9%
55 4
 
1.9%
40 4
 
1.9%
Other values (6) 13
 
6.1%
(Missing) 70
32.9%
ValueCountFrequency (%)
5 1
 
0.5%
10 3
 
1.4%
15 1
 
0.5%
40 4
 
1.9%
45 2
 
0.9%
50 13
6.1%
55 4
 
1.9%
60 10
4.7%
65 2
 
0.9%
70 12
5.6%
ValueCountFrequency (%)
100 9
 
4.2%
95 40
18.8%
90 4
 
1.9%
85 7
 
3.3%
80 27
12.7%
75 4
 
1.9%
70 12
 
5.6%
65 2
 
0.9%
60 10
 
4.7%
55 4
 
1.9%

토지유형(시설용지)
Categorical

IMBALANCE 

Distinct6
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
<NA>
201 
5
 
4
100
 
3
20
 
2
95
 
2

Length

Max length4
Median length4
Mean length3.8826291
Min length1

Unique

Unique1 ?
Unique (%)0.5%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 201
94.4%
5 4
 
1.9%
100 3
 
1.4%
20 2
 
0.9%
95 2
 
0.9%
10 1
 
0.5%

Length

2024-03-15T02:09:20.998286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T02:09:21.326549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 201
94.4%
5 4
 
1.9%
100 3
 
1.4%
20 2
 
0.9%
95 2
 
0.9%
10 1
 
0.5%

토지유형(공터)
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
<NA>
211 
20
 
1
25
 
1

Length

Max length4
Median length4
Mean length3.9812207
Min length2

Unique

Unique2 ?
Unique (%)0.9%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 211
99.1%
20 1
 
0.5%
25 1
 
0.5%

Length

2024-03-15T02:09:21.734063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T02:09:22.082376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 211
99.1%
20 1
 
0.5%
25 1
 
0.5%

토지유형(수계_습지)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing213
Missing (%)100.0%
Memory size2.0 KiB

피복도(나지)
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)37.9%
Missing184
Missing (%)86.4%
Infinite0
Infinite (%)0.0%
Mean24.655172
Minimum5
Maximum70
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2024-03-15T02:09:22.365983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile5
Q15
median20
Q340
95-th percentile65
Maximum70
Range65
Interquartile range (IQR)35

Descriptive statistics

Standard deviation21.954947
Coefficient of variation (CV)0.89048037
Kurtosis-0.57427524
Mean24.655172
Median Absolute Deviation (MAD)15
Skewness0.85440308
Sum715
Variance482.0197
MonotonicityNot monotonic
2024-03-15T02:09:22.739537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
5 10
 
4.7%
10 4
 
1.9%
20 3
 
1.4%
65 3
 
1.4%
35 2
 
0.9%
40 2
 
0.9%
45 1
 
0.5%
25 1
 
0.5%
70 1
 
0.5%
30 1
 
0.5%
(Missing) 184
86.4%
ValueCountFrequency (%)
5 10
4.7%
10 4
 
1.9%
20 3
 
1.4%
25 1
 
0.5%
30 1
 
0.5%
35 2
 
0.9%
40 2
 
0.9%
45 1
 
0.5%
50 1
 
0.5%
65 3
 
1.4%
ValueCountFrequency (%)
70 1
 
0.5%
65 3
1.4%
50 1
 
0.5%
45 1
 
0.5%
40 2
0.9%
35 2
0.9%
30 1
 
0.5%
25 1
 
0.5%
20 3
1.4%
10 4
1.9%

피복도(건물)
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)9.2%
Missing115
Missing (%)54.0%
Infinite0
Infinite (%)0.0%
Mean18.061224
Minimum5
Maximum70
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2024-03-15T02:09:22.954796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile5
Q110
median20
Q325
95-th percentile40
Maximum70
Range65
Interquartile range (IQR)15

Descriptive statistics

Standard deviation11.160328
Coefficient of variation (CV)0.61791645
Kurtosis3.9144406
Mean18.061224
Median Absolute Deviation (MAD)7.5
Skewness1.3475207
Sum1770
Variance124.55291
MonotonicityNot monotonic
2024-03-15T02:09:23.141680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
20 26
 
12.2%
5 21
 
9.9%
15 13
 
6.1%
10 12
 
5.6%
30 10
 
4.7%
25 10
 
4.7%
40 3
 
1.4%
45 2
 
0.9%
70 1
 
0.5%
(Missing) 115
54.0%
ValueCountFrequency (%)
5 21
9.9%
10 12
5.6%
15 13
6.1%
20 26
12.2%
25 10
 
4.7%
30 10
 
4.7%
40 3
 
1.4%
45 2
 
0.9%
70 1
 
0.5%
ValueCountFrequency (%)
70 1
 
0.5%
45 2
 
0.9%
40 3
 
1.4%
30 10
 
4.7%
25 10
 
4.7%
20 26
12.2%
15 13
6.1%
10 12
5.6%
5 21
9.9%

피복도(시멘트)
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)19.0%
Missing155
Missing (%)72.8%
Infinite0
Infinite (%)0.0%
Mean19.655172
Minimum5
Maximum90
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2024-03-15T02:09:23.361647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile5
Q110
median15
Q325
95-th percentile50
Maximum90
Range85
Interquartile range (IQR)15

Descriptive statistics

Standard deviation16.272409
Coefficient of variation (CV)0.82789448
Kurtosis4.9027023
Mean19.655172
Median Absolute Deviation (MAD)10
Skewness1.8412347
Sum1140
Variance264.79129
MonotonicityNot monotonic
2024-03-15T02:09:23.786630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
5 14
 
6.6%
10 12
 
5.6%
20 8
 
3.8%
15 6
 
2.8%
25 5
 
2.3%
40 4
 
1.9%
50 3
 
1.4%
30 2
 
0.9%
35 2
 
0.9%
90 1
 
0.5%
(Missing) 155
72.8%
ValueCountFrequency (%)
5 14
6.6%
10 12
5.6%
15 6
2.8%
20 8
3.8%
25 5
 
2.3%
30 2
 
0.9%
35 2
 
0.9%
40 4
 
1.9%
45 1
 
0.5%
50 3
 
1.4%
ValueCountFrequency (%)
90 1
 
0.5%
50 3
 
1.4%
45 1
 
0.5%
40 4
 
1.9%
35 2
 
0.9%
30 2
 
0.9%
25 5
2.3%
20 8
3.8%
15 6
2.8%
10 12
5.6%

피복도(타르)
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)10.7%
Missing35
Missing (%)16.4%
Infinite0
Infinite (%)0.0%
Mean55.730337
Minimum5
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2024-03-15T02:09:24.119973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile30
Q150
median55
Q365
95-th percentile80
Maximum100
Range95
Interquartile range (IQR)15

Descriptive statistics

Standard deviation15.432568
Coefficient of variation (CV)0.27691503
Kurtosis1.1943191
Mean55.730337
Median Absolute Deviation (MAD)5
Skewness-0.51641037
Sum9920
Variance238.16416
MonotonicityNot monotonic
2024-03-15T02:09:24.481828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
55 40
18.8%
50 35
16.4%
70 17
8.0%
60 16
 
7.5%
65 15
 
7.0%
75 12
 
5.6%
40 11
 
5.2%
30 7
 
3.3%
80 6
 
2.8%
45 4
 
1.9%
Other values (9) 15
 
7.0%
(Missing) 35
16.4%
ValueCountFrequency (%)
5 1
 
0.5%
10 2
 
0.9%
15 2
 
0.9%
20 2
 
0.9%
25 1
 
0.5%
30 7
 
3.3%
35 2
 
0.9%
40 11
 
5.2%
45 4
 
1.9%
50 35
16.4%
ValueCountFrequency (%)
100 1
 
0.5%
90 1
 
0.5%
85 3
 
1.4%
80 6
 
2.8%
75 12
 
5.6%
70 17
8.0%
65 15
 
7.0%
60 16
 
7.5%
55 40
18.8%
50 35
16.4%

피복도(투과암석)
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)8.3%
Missing57
Missing (%)26.8%
Infinite0
Infinite (%)0.0%
Mean23.846154
Minimum5
Maximum80
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2024-03-15T02:09:24.820207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile5
Q115
median20
Q331.25
95-th percentile46.25
Maximum80
Range75
Interquartile range (IQR)16.25

Descriptive statistics

Standard deviation14.002836
Coefficient of variation (CV)0.58721569
Kurtosis2.1715025
Mean23.846154
Median Absolute Deviation (MAD)10
Skewness1.147151
Sum3720
Variance196.0794
MonotonicityNot monotonic
2024-03-15T02:09:25.199359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
20 35
16.4%
10 21
 
9.9%
15 18
 
8.5%
25 16
 
7.5%
5 14
 
6.6%
40 14
 
6.6%
30 13
 
6.1%
35 13
 
6.1%
45 4
 
1.9%
55 3
 
1.4%
Other values (3) 5
 
2.3%
(Missing) 57
26.8%
ValueCountFrequency (%)
5 14
 
6.6%
10 21
9.9%
15 18
8.5%
20 35
16.4%
25 16
7.5%
30 13
 
6.1%
35 13
 
6.1%
40 14
 
6.6%
45 4
 
1.9%
50 2
 
0.9%
ValueCountFrequency (%)
80 2
 
0.9%
60 1
 
0.5%
55 3
 
1.4%
50 2
 
0.9%
45 4
 
1.9%
40 14
 
6.6%
35 13
 
6.1%
30 13
 
6.1%
25 16
7.5%
20 35
16.4%

피복도(낙엽층)
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)50.0%
Missing197
Missing (%)92.5%
Infinite0
Infinite (%)0.0%
Mean40
Minimum10
Maximum95
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2024-03-15T02:09:25.462213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile10
Q118.75
median20
Q370
95-th percentile83.75
Maximum95
Range85
Interquartile range (IQR)51.25

Descriptive statistics

Standard deviation29.608557
Coefficient of variation (CV)0.74021393
Kurtosis-1.3841933
Mean40
Median Absolute Deviation (MAD)10
Skewness0.53935697
Sum640
Variance876.66667
MonotonicityNot monotonic
2024-03-15T02:09:25.628412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
20 5
 
2.3%
70 3
 
1.4%
10 3
 
1.4%
15 1
 
0.5%
80 1
 
0.5%
60 1
 
0.5%
50 1
 
0.5%
95 1
 
0.5%
(Missing) 197
92.5%
ValueCountFrequency (%)
10 3
1.4%
15 1
 
0.5%
20 5
2.3%
50 1
 
0.5%
60 1
 
0.5%
70 3
1.4%
80 1
 
0.5%
95 1
 
0.5%
ValueCountFrequency (%)
95 1
 
0.5%
80 1
 
0.5%
70 3
1.4%
60 1
 
0.5%
50 1
 
0.5%
20 5
2.3%
15 1
 
0.5%
10 3
1.4%

피복도(인공잔디)
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)10.4%
Missing50
Missing (%)23.5%
Infinite0
Infinite (%)0.0%
Mean19.386503
Minimum5
Maximum90
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2024-03-15T02:09:25.899528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile5
Q15
median10
Q327.5
95-th percentile65
Maximum90
Range85
Interquartile range (IQR)22.5

Descriptive statistics

Standard deviation20.380433
Coefficient of variation (CV)1.0512692
Kurtosis2.2055957
Mean19.386503
Median Absolute Deviation (MAD)5
Skewness1.6803661
Sum3160
Variance415.36204
MonotonicityNot monotonic
2024-03-15T02:09:26.249755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
5 70
32.9%
10 21
 
9.9%
15 16
 
7.5%
30 9
 
4.2%
20 9
 
4.2%
40 7
 
3.3%
25 6
 
2.8%
50 4
 
1.9%
45 4
 
1.9%
35 3
 
1.4%
Other values (7) 14
 
6.6%
(Missing) 50
23.5%
ValueCountFrequency (%)
5 70
32.9%
10 21
 
9.9%
15 16
 
7.5%
20 9
 
4.2%
25 6
 
2.8%
30 9
 
4.2%
35 3
 
1.4%
40 7
 
3.3%
45 4
 
1.9%
50 4
 
1.9%
ValueCountFrequency (%)
90 1
 
0.5%
85 2
 
0.9%
80 3
1.4%
70 2
 
0.9%
65 2
 
0.9%
60 1
 
0.5%
55 3
1.4%
50 4
1.9%
45 4
1.9%
40 7
3.3%

피복도(천연잔디)
Categorical

IMBALANCE 

Distinct6
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
<NA>
208 
80
 
1
15
 
1
10
 
1
40
 
1

Length

Max length4
Median length4
Mean length3.9530516
Min length2

Unique

Unique5 ?
Unique (%)2.3%

Sample

1st row80
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 208
97.7%
80 1
 
0.5%
15 1
 
0.5%
10 1
 
0.5%
40 1
 
0.5%
20 1
 
0.5%

Length

2024-03-15T02:09:26.667978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T02:09:27.043311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 208
97.7%
80 1
 
0.5%
15 1
 
0.5%
10 1
 
0.5%
40 1
 
0.5%
20 1
 
0.5%

피복도(농작물)
Categorical

IMBALANCE 

Distinct5
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
<NA>
209 
5
 
1
15
 
1
20
 
1
25
 
1

Length

Max length4
Median length4
Mean length3.9577465
Min length1

Unique

Unique4 ?
Unique (%)1.9%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 209
98.1%
5 1
 
0.5%
15 1
 
0.5%
20 1
 
0.5%
25 1
 
0.5%

Length

2024-03-15T02:09:27.414471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T02:09:27.746476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 209
98.1%
5 1
 
0.5%
15 1
 
0.5%
20 1
 
0.5%
25 1
 
0.5%

피복도(기타 불투수층)
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
<NA>
212 
5
 
1

Length

Max length4
Median length4
Mean length3.9859155
Min length1

Unique

Unique1 ?
Unique (%)0.5%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 212
99.5%
5 1
 
0.5%

Length

2024-03-15T02:09:28.090910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T02:09:28.428421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 212
99.5%
5 1
 
0.5%

피복도(유역)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing213
Missing (%)100.0%
Memory size2.0 KiB

Sample

표본점번호조사일자소 속표본점 종류소재지시(도)소재지군(구)소재지면(동)소재지번지위성항법장치(GPS) 수신상태조사가능표본점 유형토지유형(농업지)토지유형(묘지)토지유형(상업_공업지)토지유형(골프장)토지유형(공공용지)토지유형(다세대 주택지)토지유형(단독 주택지)토지유형(공원)토지유형(교통시설)토지유형(시설용지)토지유형(공터)토지유형(수계_습지)피복도(나지)피복도(건물)피복도(시멘트)피복도(타르)피복도(투과암석)피복도(낙엽층)피복도(인공잔디)피복도(천연잔디)피복도(농작물)피복도(기타 불투수층)피복도(유역)
0B41-001-1-42021-04-30산림조합중앙회 산림자원조사본부시업경기도평택시포승읍1116양호100<NA><NA><NA><NA><NA><NA><NA><NA>100<NA><NA><NA><NA><NA><NA><NA><NA><NA>20<NA>80<NA><NA><NA>
1B41-001-1-32021-05-03산림조합중앙회 산림자원조사본부시업경기도평택시포승읍1116양호100<NA><NA><NA><NA><NA><NA><NA><NA>100<NA><NA><NA><NA><NA><NA><NA><NA><NA>1585<NA><NA><NA><NA>
2B41-001-1-22021-05-04산림조합중앙회 산림자원조사본부시업경기도평택시포승읍1116양호100<NA><NA><NA><NA><NA><NA>5<NA>95<NA><NA><NA><NA><NA><NA><NA><NA><NA>2080<NA><NA><NA><NA>
3B41-001-1-12021-04-29산림조합중앙회 산림자원조사본부시업경기도평택시포승읍1116양호100<NA><NA><NA><NA><NA><NA><NA><NA>9010<NA><NA><NA><NA><NA><NA><NA>102070<NA><NA><NA><NA>
4B28-001-7-32021-04-13산림조합중앙회 산림자원조사본부시업인천광역시서구석남동582-19양호100<NA><NA><NA>25<NA><NA><NA><NA><NA>75<NA><NA><NA><NA><NA>206015<NA>5<NA><NA><NA><NA>
5B28-001-7-22021-04-13산림조합중앙회 산림자원조사본부시업인천광역시서구석남동582-19양호100<NA><NA><NA>30<NA><NA><NA><NA><NA>70<NA><NA><NA><NA>20105020<NA><NA><NA><NA><NA><NA>
6B28-001-7-12021-04-13산림조합중앙회 산림자원조사본부시업인천광역시서구석남동582-48양호100<NA><NA><NA>30<NA><NA><NA><NA><NA>70<NA><NA><NA><NA>20105020<NA><NA><NA><NA><NA><NA>
7B28-001-6-32021-04-12산림조합중앙회 산림자원조사본부시업인천광역시서구석남동223-601양호100<NA><NA><NA>100<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>30<NA>5020<NA><NA><NA><NA><NA><NA>
8B28-001-6-22021-04-12산림조합중앙회 산림자원조사본부시업인천광역시서구석남동223-601양호100<NA><NA><NA>100<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>305020<NA><NA><NA><NA><NA><NA>
9B28-001-6-12021-04-12산림조합중앙회 산림자원조사본부시업인천광역시서구석남동223-601양호100<NA><NA><NA>30<NA><NA><NA><NA><NA>70<NA><NA><NA>10<NA><NA>85<NA><NA>5<NA><NA><NA><NA>
표본점번호조사일자소 속표본점 종류소재지시(도)소재지군(구)소재지면(동)소재지번지위성항법장치(GPS) 수신상태조사가능표본점 유형토지유형(농업지)토지유형(묘지)토지유형(상업_공업지)토지유형(골프장)토지유형(공공용지)토지유형(다세대 주택지)토지유형(단독 주택지)토지유형(공원)토지유형(교통시설)토지유형(시설용지)토지유형(공터)토지유형(수계_습지)피복도(나지)피복도(건물)피복도(시멘트)피복도(타르)피복도(투과암석)피복도(낙엽층)피복도(인공잔디)피복도(천연잔디)피복도(농작물)피복도(기타 불투수층)피복도(유역)
203W30-008-2-22021-10-11산림조합중앙회 산림자원조사본부시업대전광역시서구괴정동385-1양호100<NA><NA><NA><NA><NA><NA>100<NA><NA><NA><NA><NA><NA><NA>20570<NA><NA>5<NA><NA><NA><NA>
204W30-008-2-12021-10-11산림조합중앙회 산림자원조사본부시업대전광역시서구괴정동385-1양호100<NA><NA><NA><NA><NA><NA>100<NA><NA><NA><NA><NA><NA><NA>201065<NA><NA>5<NA><NA><NA><NA>
205W30-008-1-32021-10-10산림조합중앙회 산림자원조사본부시업대전광역시서구용문동595양호100<NA><NA><NA>15<NA><NA><NA><NA><NA>85<NA><NA><NA><NA>15106010<NA>5<NA><NA><NA><NA>
206W30-008-1-22021-10-13산림조합중앙회 산림자원조사본부시업대전광역시서구용문동595양호100<NA><NA><NA>15<NA>5<NA><NA><NA>80<NA><NA><NA><NA>15<NA>6515<NA>5<NA><NA><NA><NA>
207W30-008-1-12021-10-13산림조합중앙회 산림자원조사본부시업대전광역시서구용문동595양호100<NA><NA><NA>20<NA><NA><NA><NA><NA>80<NA><NA><NA><NA>10156010<NA>5<NA><NA><NA><NA>
208W30-007-1-32021-10-07산림조합중앙회 산림자원조사본부시업대전광역시서구괴정동428양호100<NA><NA><NA>20<NA><NA><NA><NA><NA>80<NA><NA><NA><NA>20<NA>7010<NA><NA><NA><NA><NA><NA>
209W30-007-1-22021-10-07산림조합중앙회 산림자원조사본부시업대전광역시서구괴정동428양호100<NA><NA><NA>20<NA><NA><NA><NA><NA>80<NA><NA><NA><NA>20<NA>755<NA><NA><NA><NA><NA><NA>
210W30-007-1-12021-10-06산림조합중앙회 산림자원조사본부시업대전광역시서구괴정동428양호100<NA><NA><NA>20<NA><NA><NA><NA><NA>80<NA><NA><NA><NA>20570<NA><NA>5<NA><NA><NA><NA>
211W30-006-1-32021-09-21산림조합중앙회 산림자원조사본부시업대전광역시서구둔산동1531양호100<NA><NA><NA>5<NA><NA><NA><NA><NA>95<NA><NA><NA><NA>5<NA>5540<NA><NA><NA><NA><NA><NA>
212W30-006-1-22021-09-20산림조합중앙회 산림자원조사본부시업대전광역시서구둔산동1531양호100<NA><NA><NA>5<NA><NA><NA><NA><NA>95<NA><NA><NA><NA>5<NA>5540<NA><NA><NA><NA><NA><NA>