Overview

Dataset statistics

Number of variables8
Number of observations269
Missing cells6
Missing cells (%)0.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory17.2 KiB
Average record size in memory65.5 B

Variable types

Numeric1
Text4
Categorical2
DateTime1

Dataset

Description충청북도 산림사업 법인 등록현황에 대한 csv 파일을 공개합니다. (순번, 등록번호, 상호, 대표자, 분야, 시군, 주소, 등록일) 컬럼 정보를 제공합니다.
URLhttps://www.data.go.kr/data/3044755/fileData.do

Alerts

순번 is highly overall correlated with 시군High correlation
시군 is highly overall correlated with 순번High correlation

Reproduction

Analysis started2023-12-12 15:04:13.348973
Analysis finished2023-12-12 15:04:14.205708
Duration0.86 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION 

Distinct268
Distinct (%)100.0%
Missing1
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean134.5
Minimum1
Maximum268
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2023-12-13T00:04:14.285161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile14.35
Q167.75
median134.5
Q3201.25
95-th percentile254.65
Maximum268
Range267
Interquartile range (IQR)133.5

Descriptive statistics

Standard deviation77.509139
Coefficient of variation (CV)0.57627613
Kurtosis-1.2
Mean134.5
Median Absolute Deviation (MAD)67
Skewness0
Sum36046
Variance6007.6667
MonotonicityStrictly increasing
2023-12-13T00:04:14.422023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.4%
186 1
 
0.4%
172 1
 
0.4%
173 1
 
0.4%
174 1
 
0.4%
175 1
 
0.4%
176 1
 
0.4%
177 1
 
0.4%
178 1
 
0.4%
179 1
 
0.4%
Other values (258) 258
95.9%
ValueCountFrequency (%)
1 1
0.4%
2 1
0.4%
3 1
0.4%
4 1
0.4%
5 1
0.4%
6 1
0.4%
7 1
0.4%
8 1
0.4%
9 1
0.4%
10 1
0.4%
ValueCountFrequency (%)
268 1
0.4%
267 1
0.4%
266 1
0.4%
265 1
0.4%
264 1
0.4%
263 1
0.4%
262 1
0.4%
261 1
0.4%
260 1
0.4%
259 1
0.4%
Distinct268
Distinct (%)100.0%
Missing1
Missing (%)0.4%
Memory size2.2 KiB
2023-12-13T00:04:14.651201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length9.8880597
Min length8

Characters and Unicode

Total characters2650
Distinct characters23
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique268 ?
Unique (%)100.0%

Sample

1st row전남2018-045
2nd row전남2018-044
3rd row전남2022-019
4th row전남2022-018
5th row전남2020-021
ValueCountFrequency (%)
전남2018-045 1
 
0.4%
충북2021-009 1
 
0.4%
충북2018-024 1
 
0.4%
충북2023-020 1
 
0.4%
충북2023-019 1
 
0.4%
충북2016-011 1
 
0.4%
충북2021-005 1
 
0.4%
충북2014-022 1
 
0.4%
충북2021-008 1
 
0.4%
충북2021-006 1
 
0.4%
Other values (258) 258
96.3%
2023-12-13T00:04:14.996755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 692
26.1%
2 501
18.9%
1 302
11.4%
- 270
 
10.2%
189
 
7.1%
183
 
6.9%
3 78
 
2.9%
4 64
 
2.4%
6 58
 
2.2%
8 52
 
2.0%
Other values (13) 261
 
9.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1876
70.8%
Other Letter 504
 
19.0%
Dash Punctuation 270
 
10.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
189
37.5%
183
36.3%
45
 
8.9%
39
 
7.7%
16
 
3.2%
12
 
2.4%
12
 
2.4%
4
 
0.8%
1
 
0.2%
1
 
0.2%
Other values (2) 2
 
0.4%
Decimal Number
ValueCountFrequency (%)
0 692
36.9%
2 501
26.7%
1 302
16.1%
3 78
 
4.2%
4 64
 
3.4%
6 58
 
3.1%
8 52
 
2.8%
5 49
 
2.6%
7 49
 
2.6%
9 31
 
1.7%
Dash Punctuation
ValueCountFrequency (%)
- 270
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2146
81.0%
Hangul 504
 
19.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
189
37.5%
183
36.3%
45
 
8.9%
39
 
7.7%
16
 
3.2%
12
 
2.4%
12
 
2.4%
4
 
0.8%
1
 
0.2%
1
 
0.2%
Other values (2) 2
 
0.4%
Common
ValueCountFrequency (%)
0 692
32.2%
2 501
23.3%
1 302
14.1%
- 270
 
12.6%
3 78
 
3.6%
4 64
 
3.0%
6 58
 
2.7%
8 52
 
2.4%
5 49
 
2.3%
7 49
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2146
81.0%
Hangul 504
 
19.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 692
32.2%
2 501
23.3%
1 302
14.1%
- 270
 
12.6%
3 78
 
3.6%
4 64
 
3.0%
6 58
 
2.7%
8 52
 
2.4%
5 49
 
2.3%
7 49
 
2.3%
Hangul
ValueCountFrequency (%)
189
37.5%
183
36.3%
45
 
8.9%
39
 
7.7%
16
 
3.2%
12
 
2.4%
12
 
2.4%
4
 
0.8%
1
 
0.2%
1
 
0.2%
Other values (2) 2
 
0.4%
Distinct147
Distinct (%)54.9%
Missing1
Missing (%)0.4%
Memory size2.2 KiB
2023-12-13T00:04:15.249152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length7.7910448
Min length4

Characters and Unicode

Total characters2088
Distinct characters157
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

Unique48 ?
Unique (%)17.9%

Sample

1st row(유)명록
2nd row(유)명록
3rd row(유)우창
4th row(유)우창
5th row(유)현도임업
ValueCountFrequency (%)
주식회사 92
 
23.4%
유한회사 33
 
8.4%
도시미 4
 
1.0%
주)대산환희임업 4
 
1.0%
대청산림 4
 
1.0%
푸른산림조경 4
 
1.0%
주)더조은숲 3
 
0.8%
유)신한산림 3
 
0.8%
유)대한 3
 
0.8%
주)대보산림산업개발 3
 
0.8%
Other values (139) 240
61.1%
2023-12-13T00:04:15.590559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
215
 
10.3%
161
 
7.7%
) 138
 
6.6%
( 136
 
6.5%
134
 
6.4%
129
 
6.2%
125
 
6.0%
121
 
5.8%
96
 
4.6%
61
 
2.9%
Other values (147) 772
37.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1689
80.9%
Close Punctuation 138
 
6.6%
Open Punctuation 136
 
6.5%
Space Separator 125
 
6.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
215
 
12.7%
161
 
9.5%
134
 
7.9%
129
 
7.6%
121
 
7.2%
96
 
5.7%
61
 
3.6%
49
 
2.9%
39
 
2.3%
34
 
2.0%
Other values (144) 650
38.5%
Close Punctuation
ValueCountFrequency (%)
) 138
100.0%
Open Punctuation
ValueCountFrequency (%)
( 136
100.0%
Space Separator
ValueCountFrequency (%)
125
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1689
80.9%
Common 399
 
19.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
215
 
12.7%
161
 
9.5%
134
 
7.9%
129
 
7.6%
121
 
7.2%
96
 
5.7%
61
 
3.6%
49
 
2.9%
39
 
2.3%
34
 
2.0%
Other values (144) 650
38.5%
Common
ValueCountFrequency (%)
) 138
34.6%
( 136
34.1%
125
31.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1689
80.9%
ASCII 399
 
19.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
215
 
12.7%
161
 
9.5%
134
 
7.9%
129
 
7.6%
121
 
7.2%
96
 
5.7%
61
 
3.6%
49
 
2.9%
39
 
2.3%
34
 
2.0%
Other values (144) 650
38.5%
ASCII
ValueCountFrequency (%)
) 138
34.6%
( 136
34.1%
125
31.3%
Distinct132
Distinct (%)49.3%
Missing1
Missing (%)0.4%
Memory size2.2 KiB
2023-12-13T00:04:15.940602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.9776119
Min length2

Characters and Unicode

Total characters798
Distinct characters114
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

Unique38 ?
Unique (%)14.2%

Sample

1st row이상순
2nd row이상순
3rd row정찬의
4th row정찬의
5th row김연숙
ValueCountFrequency (%)
김둘미 5
 
1.9%
연제주 4
 
1.5%
김학윤 4
 
1.5%
김정순 4
 
1.5%
문춘기 4
 
1.5%
황준홍 4
 
1.5%
조영석 4
 
1.5%
유근보 4
 
1.5%
김주홍 4
 
1.5%
정찬의 4
 
1.5%
Other values (122) 227
84.7%
2023-12-13T00:04:16.508266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
68
 
8.5%
31
 
3.9%
22
 
2.8%
22
 
2.8%
21
 
2.6%
18
 
2.3%
17
 
2.1%
15
 
1.9%
15
 
1.9%
15
 
1.9%
Other values (104) 554
69.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 798
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
68
 
8.5%
31
 
3.9%
22
 
2.8%
22
 
2.8%
21
 
2.6%
18
 
2.3%
17
 
2.1%
15
 
1.9%
15
 
1.9%
15
 
1.9%
Other values (104) 554
69.4%

Most occurring scripts

ValueCountFrequency (%)
Hangul 798
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
68
 
8.5%
31
 
3.9%
22
 
2.8%
22
 
2.8%
21
 
2.6%
18
 
2.3%
17
 
2.1%
15
 
1.9%
15
 
1.9%
15
 
1.9%
Other values (104) 554
69.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 798
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
68
 
8.5%
31
 
3.9%
22
 
2.8%
22
 
2.8%
21
 
2.6%
18
 
2.3%
17
 
2.1%
15
 
1.9%
15
 
1.9%
15
 
1.9%
Other values (104) 554
69.4%

분야
Categorical

Distinct7
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
산림사업법인-숲가꾸기 및 병해충방제
119 
산림사업법인-도시숲등의 조성관리
99 
산림사업법인-산림토목
41 
산림사업법인-산림경영계획 및 산림조사
 
6
산림사업법인-숲길 조성관리
 
2
Other values (2)
 
2

Length

Max length20
Median length19
Mean length16.966543
Min length4

Unique

Unique2 ?
Unique (%)0.7%

Sample

1st row산림사업법인-도시숲등의 조성관리
2nd row산림사업법인-숲가꾸기 및 병해충방제
3rd row산림사업법인-도시숲등의 조성관리
4th row산림사업법인-숲가꾸기 및 병해충방제
5th row산림사업법인-도시숲등의 조성관리

Common Values

ValueCountFrequency (%)
산림사업법인-숲가꾸기 및 병해충방제 119
44.2%
산림사업법인-도시숲등의 조성관리 99
36.8%
산림사업법인-산림토목 41
 
15.2%
산림사업법인-산림경영계획 및 산림조사 6
 
2.2%
산림사업법인-숲길 조성관리 2
 
0.7%
산림사업법인-자연휴양림 등 조성 1
 
0.4%
<NA> 1
 
0.4%

Length

2023-12-13T00:04:16.670266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:04:16.789424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
125
20.1%
산림사업법인-숲가꾸기 119
19.1%
병해충방제 119
19.1%
조성관리 101
16.2%
산림사업법인-도시숲등의 99
15.9%
산림사업법인-산림토목 41
 
6.6%
산림사업법인-산림경영계획 6
 
1.0%
산림조사 6
 
1.0%
산림사업법인-숲길 2
 
0.3%
산림사업법인-자연휴양림 1
 
0.2%
Other values (3) 3
 
0.5%

시군
Categorical

HIGH CORRELATION 

Distinct12
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
청주
59 
충주
39 
괴산
39 
제천
28 
진천
26 
Other values (7)
78 

Length

Max length4
Median length2
Mean length2.0074349
Min length2

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
청주 59
21.9%
충주 39
14.5%
괴산 39
14.5%
제천 28
10.4%
진천 26
9.7%
영동 17
 
6.3%
보은 16
 
5.9%
음성 16
 
5.9%
옥천 14
 
5.2%
단양 8
 
3.0%
Other values (2) 7
 
2.6%

Length

2023-12-13T00:04:16.931001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
청주 59
21.9%
충주 39
14.5%
괴산 39
14.5%
제천 28
10.4%
진천 26
9.7%
영동 17
 
6.3%
보은 16
 
5.9%
음성 16
 
5.9%
옥천 14
 
5.2%
단양 8
 
3.0%
Other values (2) 7
 
2.6%

주소
Text

Distinct147
Distinct (%)54.9%
Missing1
Missing (%)0.4%
Memory size2.2 KiB
2023-12-13T00:04:17.206389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length40
Mean length24.593284
Min length18

Characters and Unicode

Total characters6591
Distinct characters157
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique70 ?
Unique (%)26.1%

Sample

1st row충청북도 청주시 흥덕구 흥덕로 120(운천동)
2nd row충청북도 청주시 흥덕구 흥덕로 120(운천동)
3rd row충청북도 청주시 서원구 수곡로89번길 4(수곡동) 지하1층
4th row충청북도 청주시 서원구 수곡로89번길 4(수곡동) 지하1층
5th row충청북도 청주시 흥덕구 흥덕로 120(운천동)
ValueCountFrequency (%)
충청북도 269
 
18.4%
청주시 57
 
3.9%
2층 48
 
3.3%
괴산군 39
 
2.7%
충주시 39
 
2.7%
제천시 28
 
1.9%
진천군 26
 
1.8%
1층 22
 
1.5%
영동군 21
 
1.4%
영동읍 19
 
1.3%
Other values (289) 894
61.1%
2023-12-13T00:04:17.614897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1194
 
18.1%
378
 
5.7%
315
 
4.8%
270
 
4.1%
269
 
4.1%
1 263
 
4.0%
2 210
 
3.2%
184
 
2.8%
155
 
2.4%
147
 
2.2%
Other values (147) 3206
48.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4080
61.9%
Space Separator 1194
 
18.1%
Decimal Number 1056
 
16.0%
Close Punctuation 96
 
1.5%
Open Punctuation 96
 
1.5%
Dash Punctuation 54
 
0.8%
Other Punctuation 15
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
378
 
9.3%
315
 
7.7%
270
 
6.6%
269
 
6.6%
184
 
4.5%
155
 
3.8%
147
 
3.6%
147
 
3.6%
135
 
3.3%
133
 
3.3%
Other values (132) 1947
47.7%
Decimal Number
ValueCountFrequency (%)
1 263
24.9%
2 210
19.9%
4 93
 
8.8%
0 84
 
8.0%
5 82
 
7.8%
3 79
 
7.5%
7 76
 
7.2%
6 70
 
6.6%
8 58
 
5.5%
9 41
 
3.9%
Space Separator
ValueCountFrequency (%)
1194
100.0%
Close Punctuation
ValueCountFrequency (%)
) 96
100.0%
Open Punctuation
ValueCountFrequency (%)
( 96
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 54
100.0%
Other Punctuation
ValueCountFrequency (%)
, 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4080
61.9%
Common 2511
38.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
378
 
9.3%
315
 
7.7%
270
 
6.6%
269
 
6.6%
184
 
4.5%
155
 
3.8%
147
 
3.6%
147
 
3.6%
135
 
3.3%
133
 
3.3%
Other values (132) 1947
47.7%
Common
ValueCountFrequency (%)
1194
47.6%
1 263
 
10.5%
2 210
 
8.4%
) 96
 
3.8%
( 96
 
3.8%
4 93
 
3.7%
0 84
 
3.3%
5 82
 
3.3%
3 79
 
3.1%
7 76
 
3.0%
Other values (5) 238
 
9.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4080
61.9%
ASCII 2511
38.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1194
47.6%
1 263
 
10.5%
2 210
 
8.4%
) 96
 
3.8%
( 96
 
3.8%
4 93
 
3.7%
0 84
 
3.3%
5 82
 
3.3%
3 79
 
3.1%
7 76
 
3.0%
Other values (5) 238
 
9.5%
Hangul
ValueCountFrequency (%)
378
 
9.3%
315
 
7.7%
270
 
6.6%
269
 
6.6%
184
 
4.5%
155
 
3.8%
147
 
3.6%
147
 
3.6%
135
 
3.3%
133
 
3.3%
Other values (132) 1947
47.7%
Distinct188
Distinct (%)70.1%
Missing1
Missing (%)0.4%
Memory size2.2 KiB
Minimum2000-08-18 00:00:00
Maximum2023-03-21 00:00:00
2023-12-13T00:04:17.753322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:04:18.199282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Interactions

2023-12-13T00:04:13.740762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T00:04:18.284832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번분야시군
순번1.0000.0000.922
분야0.0001.0000.201
시군0.9220.2011.000
2023-12-13T00:04:18.400690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군분야
시군1.0000.102
분야0.1021.000
2023-12-13T00:04:18.489861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번분야시군
순번1.0000.0000.725
분야0.0001.0000.102
시군0.7250.1021.000

Missing values

2023-12-13T00:04:13.846503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T00:04:13.971362image/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.
2023-12-13T00:04:14.119199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

순번등록번호상호(법인명)대표자분야시군주소등록일
01전남2018-045(유)명록이상순산림사업법인-도시숲등의 조성관리청주충청북도 청주시 흥덕구 흥덕로 120(운천동)2018-11-06
12전남2018-044(유)명록이상순산림사업법인-숲가꾸기 및 병해충방제청주충청북도 청주시 흥덕구 흥덕로 120(운천동)2018-11-06
23전남2022-019(유)우창정찬의산림사업법인-도시숲등의 조성관리청주충청북도 청주시 서원구 수곡로89번길 4(수곡동) 지하1층2022-02-22
34전남2022-018(유)우창정찬의산림사업법인-숲가꾸기 및 병해충방제청주충청북도 청주시 서원구 수곡로89번길 4(수곡동) 지하1층2022-02-22
45전남2020-021(유)현도임업김연숙산림사업법인-도시숲등의 조성관리청주충청북도 청주시 흥덕구 흥덕로 120(운천동)2020-03-03
56전남2020-020(유)현도임업김연숙산림사업법인-숲가꾸기 및 병해충방제청주충청북도 청주시 흥덕구 흥덕로 120(운천동)2020-03-03
67충북2012-010(주)그린나무병원김영호산림사업법인-도시숲등의 조성관리청주충청북도 청주시 서원구 수곡로57번길 17(수곡동) 2층2012-03-28
78충북2012-009(주)그린나무병원김영호산림사업법인-산림토목청주충청북도 청주시 서원구 수곡로57번길 17(수곡동) 2층2012-03-28
89충북2009-026(주)그린나무병원김영호산림사업법인-숲가꾸기 및 병해충방제청주충청북도 청주시 서원구 수곡로57번길 17(수곡동) 2층2009-03-19
9102008-024(주)누리뫼이미선산림사업법인-산림토목청주충청북도 청주시 청원구 오창읍 주성2길 6-12 101호2008-02-28
순번등록번호상호(법인명)대표자분야시군주소등록일
259260충북2013-008한송산림(주)반선모산림사업법인-산림토목음성충청북도 음성군 금왕읍 금석택지1길 6-92013-03-14
260261충남2016-017(주)녹색산림산업남미선산림사업법인-도시숲등의 조성관리단양충청북도 단양군 단양읍 상진1로 25(대덕연립) 2층2016-06-14
261262충남2016-016(주)녹색산림산업남미선산림사업법인-숲가꾸기 및 병해충방제단양충청북도 단양군 단양읍 상진1로 25(대덕연립) 2층2016-06-14
262263강원2013-012도담산림개발 주식회사김운서산림사업법인-산림토목단양충청북도 단양군 단성면 충혼길 342013-02-21
263264충북2022-034주식회사 단성이연옥산림사업법인-산림토목단양충청북도 단양군 단성면 충혼길 342022-12-05
264265충북2022-001주식회사 우승이미나산림사업법인-산림토목단양충청북도 단양군 매포읍 단양로 1945 201호2022-01-18
265266충북2022-002주식회사 우승이미나산림사업법인-숲길 조성관리단양충청북도 단양군 매포읍 단양로 1945 201호2022-01-18
266267충북2016-020주식회사 푸르뫼노현산림사업법인-도시숲등의 조성관리단양충청북도 단양군 단양읍 수변로 3, 1층 1층2016-03-02
267268충북2013-007주식회사 푸르뫼노현산림사업법인-숲가꾸기 및 병해충방제단양충청북도 단양군 단양읍 수변로 32013-03-11
268<NA><NA><NA><NA><NA><NA><NA><NA>