Overview

Dataset statistics

Number of variables11
Number of observations72
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.4 KiB
Average record size in memory90.8 B

Variable types

Numeric1
Categorical8
Text2

Dataset

Description대전광역시 공원관리사업소에서 담당하고 있는 공유재산에 대한 정보(재산종류, 회계구분,소재지 등에 관한 정보) 및 사용허가 현황에 대한 데이터입니다.
Author대전광역시
URLhttps://www.data.go.kr/data/15077432/fileData.do

Alerts

재산구분 has constant value ""Constant
분임관리관 is highly overall correlated with 순번 and 6 other fieldsHigh correlation
재산종류 is highly overall correlated with 분임관리관 and 4 other fieldsHigh correlation
지목_공부 is highly overall correlated with 재산종류 and 1 other fieldsHigh correlation
허가내용 is highly overall correlated with 재산종류 and 4 other fieldsHigh correlation
계약일자 is highly overall correlated with 재산종류 and 3 other fieldsHigh correlation
재산관리관 is highly overall correlated with 분임관리관 and 2 other fieldsHigh correlation
지목_현황 is highly overall correlated with 재산종류 and 2 other fieldsHigh correlation
순번 is highly overall correlated with 분임관리관High correlation
재산종류 is highly imbalanced (75.0%)Imbalance
순번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 11:49:32.517605
Analysis finished2023-12-12 11:49:33.884394
Duration1.37 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct72
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.5
Minimum1
Maximum72
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size780.0 B
2023-12-12T20:49:34.005259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.55
Q118.75
median36.5
Q354.25
95-th percentile68.45
Maximum72
Range71
Interquartile range (IQR)35.5

Descriptive statistics

Standard deviation20.92845
Coefficient of variation (CV)0.57338218
Kurtosis-1.2
Mean36.5
Median Absolute Deviation (MAD)18
Skewness0
Sum2628
Variance438
MonotonicityStrictly increasing
2023-12-12T20:49:34.217006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.4%
38 1
 
1.4%
54 1
 
1.4%
53 1
 
1.4%
52 1
 
1.4%
51 1
 
1.4%
50 1
 
1.4%
49 1
 
1.4%
48 1
 
1.4%
47 1
 
1.4%
Other values (62) 62
86.1%
ValueCountFrequency (%)
1 1
1.4%
2 1
1.4%
3 1
1.4%
4 1
1.4%
5 1
1.4%
6 1
1.4%
7 1
1.4%
8 1
1.4%
9 1
1.4%
10 1
1.4%
ValueCountFrequency (%)
72 1
1.4%
71 1
1.4%
70 1
1.4%
69 1
1.4%
68 1
1.4%
67 1
1.4%
66 1
1.4%
65 1
1.4%
64 1
1.4%
63 1
1.4%

재산종류
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size708.0 B
토지
69 
건물
 
3

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row건물
2nd row토지
3rd row토지
4th row토지
5th row토지

Common Values

ValueCountFrequency (%)
토지 69
95.8%
건물 3
 
4.2%

Length

2023-12-12T20:49:34.396197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:49:34.505528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
토지 69
95.8%
건물 3
 
4.2%

재산구분
Categorical

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size708.0 B
행정재산
72 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
행정재산 72
100.0%

Length

2023-12-12T20:49:34.607949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:49:34.701455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
행정재산 72
100.0%
Distinct54
Distinct (%)75.0%
Missing0
Missing (%)0.0%
Memory size708.0 B
2023-12-12T20:49:34.880009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length8.7083333
Min length6

Characters and Unicode

Total characters627
Distinct characters27
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

Unique39 ?
Unique (%)54.2%

Sample

1st row대사동 190-41
2nd row비래동 1-13
3rd row문화동 산 18-1
4th row문화동 82-4
5th row문화동 82-5
ValueCountFrequency (%)
문화동 41
26.8%
사정동 12
 
7.8%
9
 
5.9%
산성동 7
 
4.6%
무수동 4
 
2.6%
18-1 4
 
2.6%
부사동 3
 
2.0%
82-6 3
 
2.0%
155-17 3
 
2.0%
221-2 2
 
1.3%
Other values (52) 65
42.5%
2023-12-12T20:49:35.239917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
81
12.9%
72
11.5%
- 67
10.7%
2 59
9.4%
1 51
 
8.1%
41
 
6.5%
41
 
6.5%
8 30
 
4.8%
7 21
 
3.3%
6 19
 
3.0%
Other values (17) 145
23.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 254
40.5%
Other Letter 225
35.9%
Space Separator 81
 
12.9%
Dash Punctuation 67
 
10.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
72
32.0%
41
18.2%
41
18.2%
17
 
7.6%
16
 
7.1%
12
 
5.3%
7
 
3.1%
4
 
1.8%
4
 
1.8%
3
 
1.3%
Other values (5) 8
 
3.6%
Decimal Number
ValueCountFrequency (%)
2 59
23.2%
1 51
20.1%
8 30
11.8%
7 21
 
8.3%
6 19
 
7.5%
4 18
 
7.1%
3 18
 
7.1%
5 17
 
6.7%
9 11
 
4.3%
0 10
 
3.9%
Space Separator
ValueCountFrequency (%)
81
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 67
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 402
64.1%
Hangul 225
35.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
72
32.0%
41
18.2%
41
18.2%
17
 
7.6%
16
 
7.1%
12
 
5.3%
7
 
3.1%
4
 
1.8%
4
 
1.8%
3
 
1.3%
Other values (5) 8
 
3.6%
Common
ValueCountFrequency (%)
81
20.1%
- 67
16.7%
2 59
14.7%
1 51
12.7%
8 30
 
7.5%
7 21
 
5.2%
6 19
 
4.7%
4 18
 
4.5%
3 18
 
4.5%
5 17
 
4.2%
Other values (2) 21
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 402
64.1%
Hangul 225
35.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
81
20.1%
- 67
16.7%
2 59
14.7%
1 51
12.7%
8 30
 
7.5%
7 21
 
5.2%
6 19
 
4.7%
4 18
 
4.5%
3 18
 
4.5%
5 17
 
4.2%
Other values (2) 21
 
5.2%
Hangul
ValueCountFrequency (%)
72
32.0%
41
18.2%
41
18.2%
17
 
7.6%
16
 
7.1%
12
 
5.3%
7
 
3.1%
4
 
1.8%
4
 
1.8%
3
 
1.3%
Other values (5) 8
 
3.6%

재산관리관
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size708.0 B
대전광역시 환경녹지국 공원녹지과
59 
대전광역시 공원관리사업소
13 

Length

Max length17
Median length17
Mean length16.277778
Min length13

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row대전광역시 공원관리사업소
2nd row대전광역시 공원관리사업소
3rd row대전광역시 공원관리사업소
4th row대전광역시 환경녹지국 공원녹지과
5th row대전광역시 환경녹지국 공원녹지과

Common Values

ValueCountFrequency (%)
대전광역시 환경녹지국 공원녹지과 59
81.9%
대전광역시 공원관리사업소 13
 
18.1%

Length

2023-12-12T20:49:35.421007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:49:35.566361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대전광역시 72
35.5%
환경녹지국 59
29.1%
공원녹지과 59
29.1%
공원관리사업소 13
 
6.4%

분임관리관
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size708.0 B
대전광역시 공원관리사업소 공원관리과
59 
<NA>
13 

Length

Max length19
Median length19
Mean length16.291667
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
대전광역시 공원관리사업소 공원관리과 59
81.9%
<NA> 13
 
18.1%

Length

2023-12-12T20:49:36.122818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:49:36.273783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대전광역시 59
31.1%
공원관리사업소 59
31.1%
공원관리과 59
31.1%
na 13
 
6.8%

지목_공부
Categorical

HIGH CORRELATION 

Distinct7
Distinct (%)9.7%
Missing0
Missing (%)0.0%
Memory size708.0 B
34 
13 
임야
13 
<NA>
 
3
Other values (2)
 
2

Length

Max length4
Median length1
Mean length1.3472222
Min length1

Unique

Unique2 ?
Unique (%)2.8%

Sample

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

Common Values

ValueCountFrequency (%)
34
47.2%
13
 
18.1%
임야 13
 
18.1%
7
 
9.7%
<NA> 3
 
4.2%
과수원 1
 
1.4%
공원 1
 
1.4%

Length

2023-12-12T20:49:36.417547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:49:36.570335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
34
47.2%
13
 
18.1%
임야 13
 
18.1%
7
 
9.7%
na 3
 
4.2%
과수원 1
 
1.4%
공원 1
 
1.4%

지목_현황
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Memory size708.0 B
임야
33 
30 
공원
<NA>
 
3
미등록
 
1

Length

Max length4
Median length2
Mean length1.6805556
Min length1

Unique

Unique1 ?
Unique (%)1.4%

Sample

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

Common Values

ValueCountFrequency (%)
임야 33
45.8%
30
41.7%
공원 5
 
6.9%
<NA> 3
 
4.2%
미등록 1
 
1.4%

Length

2023-12-12T20:49:36.782243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:49:37.015604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
임야 33
45.8%
30
41.7%
공원 5
 
6.9%
na 3
 
4.2%
미등록 1
 
1.4%

허가내용
Categorical

HIGH CORRELATION 

Distinct11
Distinct (%)15.3%
Missing0
Missing (%)0.0%
Memory size708.0 B
주거용
33 
농업용
25 
강관전주 및 전송로
휴게소
 
2
카페
 
1
Other values (6)

Length

Max length10
Median length3
Mean length3.6805556
Min length2

Unique

Unique7 ?
Unique (%)9.7%

Sample

1st row카페
2nd row주거용
3rd row이동통신기지국시설
4th row주거용
5th row주거용

Common Values

ValueCountFrequency (%)
주거용 33
45.8%
농업용 25
34.7%
강관전주 및 전송로 5
 
6.9%
휴게소 2
 
2.8%
카페 1
 
1.4%
이동통신기지국시설 1
 
1.4%
진입로 1
 
1.4%
사찰 1
 
1.4%
건물 부지 1
 
1.4%
망원경, 자판기 1
 
1.4%

Length

2023-12-12T20:49:37.210593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
주거용 33
39.3%
농업용 25
29.8%
강관전주 5
 
6.0%
5
 
6.0%
전송로 5
 
6.0%
휴게소 2
 
2.4%
카페 1
 
1.2%
이동통신기지국시설 1
 
1.2%
진입로 1
 
1.2%
사찰 1
 
1.2%
Other values (5) 5
 
6.0%
Distinct66
Distinct (%)91.7%
Missing0
Missing (%)0.0%
Memory size708.0 B
2023-12-12T20:49:37.576318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length7
Mean length6.6527778
Min length5

Characters and Unicode

Total characters479
Distinct characters13
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique61 ?
Unique (%)84.7%

Sample

1st row503.40
2nd row109.93
3rd row173.00
4th row116.00
5th row2.00
ValueCountFrequency (%)
100.00 3
 
4.2%
595.00 2
 
2.8%
108.00 2
 
2.8%
20.00 2
 
2.8%
66.00 2
 
2.8%
153.30 1
 
1.4%
55.00 1
 
1.4%
84.00 1
 
1.4%
58.00 1
 
1.4%
76.00 1
 
1.4%
Other values (56) 56
77.8%
2023-12-12T20:49:38.141984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 156
32.6%
. 72
15.0%
72
15.0%
1 45
 
9.4%
3 24
 
5.0%
5 23
 
4.8%
6 19
 
4.0%
9 17
 
3.5%
2 17
 
3.5%
4 13
 
2.7%
Other values (3) 21
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 330
68.9%
Other Punctuation 77
 
16.1%
Space Separator 72
 
15.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 156
47.3%
1 45
 
13.6%
3 24
 
7.3%
5 23
 
7.0%
6 19
 
5.8%
9 17
 
5.2%
2 17
 
5.2%
4 13
 
3.9%
8 8
 
2.4%
7 8
 
2.4%
Other Punctuation
ValueCountFrequency (%)
. 72
93.5%
, 5
 
6.5%
Space Separator
ValueCountFrequency (%)
72
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 479
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 156
32.6%
. 72
15.0%
72
15.0%
1 45
 
9.4%
3 24
 
5.0%
5 23
 
4.8%
6 19
 
4.0%
9 17
 
3.5%
2 17
 
3.5%
4 13
 
2.7%
Other values (3) 21
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 479
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 156
32.6%
. 72
15.0%
72
15.0%
1 45
 
9.4%
3 24
 
5.0%
5 23
 
4.8%
6 19
 
4.0%
9 17
 
3.5%
2 17
 
3.5%
4 13
 
2.7%
Other values (3) 21
 
4.4%

계약일자
Categorical

HIGH CORRELATION 

Distinct18
Distinct (%)25.0%
Missing0
Missing (%)0.0%
Memory size708.0 B
2019-06-21
41 
2019-10-07
 
4
2019-06-24
 
4
2020-12-21
 
3
2020-01-01
 
3
Other values (13)
17 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique10 ?
Unique (%)13.9%

Sample

1st row2017-12-01
2nd row2019-10-07
3rd row2020-06-19
4th row2019-06-21
5th row2019-06-21

Common Values

ValueCountFrequency (%)
2019-06-21 41
56.9%
2019-10-07 4
 
5.6%
2019-06-24 4
 
5.6%
2020-12-21 3
 
4.2%
2020-01-01 3
 
4.2%
2020-09-28 3
 
4.2%
2021-01-01 2
 
2.8%
2020-11-25 2
 
2.8%
2019-08-25 1
 
1.4%
2020-06-19 1
 
1.4%
Other values (8) 8
 
11.1%

Length

2023-12-12T20:49:38.341808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2019-06-21 41
56.9%
2019-06-24 4
 
5.6%
2019-10-07 4
 
5.6%
2020-12-21 3
 
4.2%
2020-01-01 3
 
4.2%
2020-09-28 3
 
4.2%
2021-01-01 2
 
2.8%
2020-11-25 2
 
2.8%
2020-11-21 1
 
1.4%
2017-12-01 1
 
1.4%
Other values (8) 8
 
11.1%

Interactions

2023-12-12T20:49:33.372750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T20:49:38.487763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번재산종류소재지재산관리관지목_공부지목_현황허가내용대부(허가)면적계약일자
순번1.0000.0000.9080.5470.1430.5700.5680.8110.746
재산종류0.0001.0001.0000.504NaNNaN1.0001.0000.954
소재지0.9081.0001.0001.0001.0001.0000.0000.9540.947
재산관리관0.5470.5041.0001.0000.5440.4820.8421.0000.976
지목_공부0.143NaN1.0000.5441.0000.6250.4150.8760.797
지목_현황0.570NaN1.0000.4820.6251.0000.8970.0000.826
허가내용0.5681.0000.0000.8420.4150.8971.0000.9350.949
대부(허가)면적0.8111.0000.9541.0000.8760.0000.9351.0000.965
계약일자0.7460.9540.9470.9760.7970.8260.9490.9651.000
2023-12-12T20:49:38.689426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
분임관리관재산종류지목_공부허가내용계약일자재산관리관지목_현황
분임관리관1.0001.0001.0001.0001.0001.0001.000
재산종류1.0001.0001.0000.9340.7320.3361.000
지목_공부1.0001.0001.0000.2110.4950.3800.446
허가내용1.0000.9340.2111.0000.7170.7850.785
계약일자1.0000.7320.4950.7171.0000.7670.476
재산관리관1.0000.3360.3800.7850.7671.0000.320
지목_현황1.0001.0000.4460.7850.4760.3201.000
2023-12-12T20:49:38.861027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번재산종류재산관리관분임관리관지목_공부지목_현황허가내용계약일자
순번1.0000.0000.3951.0000.0570.3580.2770.370
재산종류0.0001.0000.3361.0001.0001.0000.9340.732
재산관리관0.3950.3361.0001.0000.3800.3200.7850.767
분임관리관1.0001.0001.0001.0001.0001.0001.0001.000
지목_공부0.0571.0000.3801.0001.0000.4460.2110.495
지목_현황0.3581.0000.3201.0000.4461.0000.7850.476
허가내용0.2770.9340.7851.0000.2110.7851.0000.717
계약일자0.3700.7320.7671.0000.4950.4760.7171.000

Missing values

2023-12-12T20:49:33.569122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T20:49:33.799087image/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

순번재산종류재산구분소재지재산관리관분임관리관지목_공부지목_현황허가내용대부(허가)면적계약일자
01건물행정재산대사동 190-41대전광역시 공원관리사업소<NA><NA><NA>카페503.402017-12-01
12토지행정재산비래동 1-13대전광역시 공원관리사업소<NA>주거용109.932019-10-07
23토지행정재산문화동 산 18-1대전광역시 공원관리사업소<NA>임야임야이동통신기지국시설173.002020-06-19
34토지행정재산문화동 82-4대전광역시 환경녹지국 공원녹지과대전광역시 공원관리사업소 공원관리과주거용116.002019-06-21
45토지행정재산문화동 82-5대전광역시 환경녹지국 공원녹지과대전광역시 공원관리사업소 공원관리과주거용2.002019-06-21
56토지행정재산문화동 82-6대전광역시 환경녹지국 공원녹지과대전광역시 공원관리사업소 공원관리과주거용4.002019-06-21
67토지행정재산문화동 82-4대전광역시 환경녹지국 공원녹지과대전광역시 공원관리사업소 공원관리과주거용10.002019-06-21
78토지행정재산문화동 82-5대전광역시 환경녹지국 공원녹지과대전광역시 공원관리사업소 공원관리과주거용105.002019-06-21
89토지행정재산문화동 82-6대전광역시 환경녹지국 공원녹지과대전광역시 공원관리사업소 공원관리과주거용25.002019-06-21
910토지행정재산사정동 221-2대전광역시 환경녹지국 공원녹지과대전광역시 공원관리사업소 공원관리과임야진입로107.502019-06-21
순번재산종류재산구분소재지재산관리관분임관리관지목_공부지목_현황허가내용대부(허가)면적계약일자
6263토지행정재산문화동 30-8대전광역시 환경녹지국 공원녹지과대전광역시 공원관리사업소 공원관리과공원농업용315.002019-06-21
6364토지행정재산문화동 82-18대전광역시 환경녹지국 공원녹지과대전광역시 공원관리사업소 공원관리과농업용93.002019-06-21
6465토지행정재산문화동 82-8대전광역시 환경녹지국 공원녹지과대전광역시 공원관리사업소 공원관리과임야농업용239.002019-06-21
6566토지행정재산사정동 232-1대전광역시 환경녹지국 공원녹지과대전광역시 공원관리사업소 공원관리과주거용436.002019-06-21
6667토지행정재산사정동 232-2대전광역시 환경녹지국 공원녹지과대전광역시 공원관리사업소 공원관리과임야주거용94.002019-06-21
6768토지행정재산사정동 232-2대전광역시 환경녹지국 공원녹지과대전광역시 공원관리사업소 공원관리과임야농업용103.002019-06-21
6869토지행정재산문화동 산 18-1대전광역시 공원관리사업소<NA>임야임야전기통신시설159.252016-05-31
6970건물행정재산사정동 산 1-38대전광역시 공원관리사업소<NA><NA><NA>휴게소75.002020-04-06
7071토지행정재산산성동 12-4대전광역시 환경녹지국 공원녹지과대전광역시 공원관리사업소 공원관리과주거용236.002019-06-21
7172토지행정재산문화동 29-21대전광역시 환경녹지국 공원녹지과대전광역시 공원관리사업소 공원관리과임야농업용352.002019-06-21