Overview

Dataset statistics

Number of variables7
Number of observations32
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.9 KiB
Average record size in memory62.1 B

Variable types

Numeric2
Text4
Categorical1

Dataset

Description제주특별자치도 제주시 관내 도시숲 조성과 관련한 현황 데이터입니다. 항목 : 조성년도, 장소, 사업량, 사업내용, 사업비(천원), 위치 등
URLhttps://www.data.go.kr/data/3083421/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
사업내용 has unique valuesUnique
사업비(천원) has unique valuesUnique

Reproduction

Analysis started2023-12-12 07:58:40.957649
Analysis finished2023-12-12 07:58:42.329535
Duration1.37 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

조성년도
Real number (ℝ)

Distinct16
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2014.4062
Minimum2007
Maximum2022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T16:58:42.398022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2007
5-th percentile2008.55
Q12011.75
median2013.5
Q32017.25
95-th percentile2020.45
Maximum2022
Range15
Interquartile range (IQR)5.5

Descriptive statistics

Standard deviation3.9988658
Coefficient of variation (CV)0.0019851337
Kurtosis-0.94498826
Mean2014.4062
Median Absolute Deviation (MAD)3.5
Skewness0.12951728
Sum64461
Variance15.990927
MonotonicityIncreasing
2023-12-12T16:58:42.527607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
2012 5
15.6%
2017 4
12.5%
2011 3
9.4%
2013 3
9.4%
2015 2
 
6.2%
2018 2
 
6.2%
2010 2
 
6.2%
2020 2
 
6.2%
2019 2
 
6.2%
2022 1
 
3.1%
Other values (6) 6
18.8%
ValueCountFrequency (%)
2007 1
 
3.1%
2008 1
 
3.1%
2009 1
 
3.1%
2010 2
 
6.2%
2011 3
9.4%
2012 5
15.6%
2013 3
9.4%
2014 1
 
3.1%
2015 2
 
6.2%
2016 1
 
3.1%
ValueCountFrequency (%)
2022 1
 
3.1%
2021 1
 
3.1%
2020 2
6.2%
2019 2
6.2%
2018 2
6.2%
2017 4
12.5%
2016 1
 
3.1%
2015 2
6.2%
2014 1
 
3.1%
2013 3
9.4%

장소
Text

Distinct30
Distinct (%)93.8%
Missing0
Missing (%)0.0%
Memory size388.0 B
2023-12-12T16:58:42.726111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length9
Mean length5.5625
Min length3

Characters and Unicode

Total characters178
Distinct characters77
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

Unique28 ?
Unique (%)87.5%

Sample

1st row오광로변
2nd row연북로변(중앙분리대)
3rd row국도대체 우회도로변
4th row중앙로
5th row국도대체우회도로
ValueCountFrequency (%)
애조로 2
 
5.9%
오남로 2
 
5.9%
송이길 1
 
2.9%
오광로변 1
 
2.9%
신대로 1
 
2.9%
연신로 1
 
2.9%
일주동로 1
 
2.9%
한라대학로 1
 
2.9%
번영로 1
 
2.9%
연삼로 1
 
2.9%
Other values (22) 22
64.7%
2023-12-12T16:58:43.062266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
로 25
 
14.0%
대 9
 
5.1%
도 7
 
3.9%
변 5
 
2.8%
주 4
 
2.2%
연 4
 
2.2%
라 4
 
2.2%
) 4
 
2.2%
수 4
 
2.2%
지 4
 
2.2%
Other values (67) 108
60.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 165
92.7%
Close Punctuation 4
 
2.2%
Open Punctuation 4
 
2.2%
Space Separator 2
 
1.1%
Uppercase Letter 2
 
1.1%
Math Symbol 1
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 25
 
15.2%
대 9
 
5.5%
도 7
 
4.2%
변 5
 
3.0%
주 4
 
2.4%
연 4
 
2.4%
라 4
 
2.4%
수 4
 
2.4%
지 4
 
2.4%
일 4
 
2.4%
Other values (61) 95
57.6%
Uppercase Letter
ValueCountFrequency (%)
C 1
50.0%
I 1
50.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 165
92.7%
Common 11
 
6.2%
Latin 2
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 25
 
15.2%
대 9
 
5.5%
도 7
 
4.2%
변 5
 
3.0%
주 4
 
2.4%
연 4
 
2.4%
라 4
 
2.4%
수 4
 
2.4%
지 4
 
2.4%
일 4
 
2.4%
Other values (61) 95
57.6%
Common
ValueCountFrequency (%)
) 4
36.4%
( 4
36.4%
2
18.2%
~ 1
 
9.1%
Latin
ValueCountFrequency (%)
C 1
50.0%
I 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 165
92.7%
ASCII 13
 
7.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
로 25
 
15.2%
대 9
 
5.5%
도 7
 
4.2%
변 5
 
3.0%
주 4
 
2.4%
연 4
 
2.4%
라 4
 
2.4%
수 4
 
2.4%
지 4
 
2.4%
일 4
 
2.4%
Other values (61) 95
57.6%
ASCII
ValueCountFrequency (%)
) 4
30.8%
( 4
30.8%
2
15.4%
~ 1
 
7.7%
C 1
 
7.7%
I 1
 
7.7%

사업량
Text

Distinct27
Distinct (%)84.4%
Missing0
Missing (%)0.0%
Memory size388.0 B
2023-12-12T16:58:43.221863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5.5
Mean length4.6875
Min length1

Characters and Unicode

Total characters150
Distinct characters15
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)75.0%

Sample

1st row6.3km
2nd row1.35ha
3rd row4.5ha
4th row5ha
5th row3km
ValueCountFrequency (%)
5ha 4
 
12.5%
0.2ha 2
 
6.2%
0.1ha 2
 
6.2%
1
 
3.1%
6.3km 1
 
3.1%
3.2ha 1
 
3.1%
5.1ha 1
 
3.1%
5.74ha 1
 
3.1%
4.06ha 1
 
3.1%
1.5ha 1
 
3.1%
Other values (17) 17
53.1%
2023-12-12T16:58:43.491969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
h 26
17.3%
a 26
17.3%
. 24
16.0%
5 12
8.0%
0 10
 
6.7%
2 9
 
6.0%
1 8
 
5.3%
4 8
 
5.3%
3 6
 
4.0%
k 5
 
3.3%
Other values (5) 16
10.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 63
42.0%
Lowercase Letter 62
41.3%
Other Punctuation 24
 
16.0%
Dash Punctuation 1
 
0.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 12
19.0%
0 10
15.9%
2 9
14.3%
1 8
12.7%
4 8
12.7%
3 6
9.5%
8 4
 
6.3%
6 3
 
4.8%
7 3
 
4.8%
Lowercase Letter
ValueCountFrequency (%)
h 26
41.9%
a 26
41.9%
k 5
 
8.1%
m 5
 
8.1%
Other Punctuation
ValueCountFrequency (%)
. 24
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 88
58.7%
Latin 62
41.3%

Most frequent character per script

Common
ValueCountFrequency (%)
. 24
27.3%
5 12
13.6%
0 10
11.4%
2 9
 
10.2%
1 8
 
9.1%
4 8
 
9.1%
3 6
 
6.8%
8 4
 
4.5%
6 3
 
3.4%
7 3
 
3.4%
Latin
ValueCountFrequency (%)
h 26
41.9%
a 26
41.9%
k 5
 
8.1%
m 5
 
8.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 150
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
h 26
17.3%
a 26
17.3%
. 24
16.0%
5 12
8.0%
0 10
 
6.7%
2 9
 
6.0%
1 8
 
5.3%
4 8
 
5.3%
3 6
 
4.0%
k 5
 
3.3%
Other values (5) 16
10.7%

사업내용
Text

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size388.0 B
2023-12-12T16:58:43.738433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length38
Mean length28.96875
Min length12

Characters and Unicode

Total characters927
Distinct characters78
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

Unique32 ?
Unique (%)100.0%

Sample

1st row수목류 : 왕벚나무 384본
2nd row수목류 : 18종 12792본+초화류 : 11종 30502본
3rd row수목류 : 30종 20777본+초화류 : 3종 10140본
4th row수목류 : 21종 34176본+초화류 : 14종 42218본
5th row수목류 : 2종 24본
ValueCountFrequency (%)
50
22.2%
수목류 30
 
13.3%
외 15
 
6.7%
2종 6
 
2.7%
3종 5
 
2.2%
왕벚나무 4
 
1.8%
1종 4
 
1.8%
등 4
 
1.8%
18종 3
 
1.3%
유럽스 3
 
1.3%
Other values (94) 101
44.9%
2023-12-12T16:58:44.112911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
195
21.0%
류 50
 
5.4%
: 50
 
5.4%
본 50
 
5.4%
1 47
 
5.1%
종 42
 
4.5%
2 41
 
4.4%
0 37
 
4.0%
수 34
 
3.7%
8 32
 
3.5%
Other values (68) 349
37.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 387
41.7%
Decimal Number 277
29.9%
Space Separator 195
21.0%
Other Punctuation 50
 
5.4%
Math Symbol 18
 
1.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
류 50
12.9%
본 50
12.9%
종 42
10.9%
수 34
 
8.8%
목 31
 
8.0%
초 22
 
5.7%
무 19
 
4.9%
화 19
 
4.9%
외 18
 
4.7%
나 17
 
4.4%
Other values (55) 85
22.0%
Decimal Number
ValueCountFrequency (%)
1 47
17.0%
2 41
14.8%
0 37
13.4%
8 32
11.6%
4 28
10.1%
3 27
9.7%
7 23
8.3%
5 18
 
6.5%
6 16
 
5.8%
9 8
 
2.9%
Space Separator
ValueCountFrequency (%)
195
100.0%
Other Punctuation
ValueCountFrequency (%)
: 50
100.0%
Math Symbol
ValueCountFrequency (%)
+ 18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 540
58.3%
Hangul 387
41.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
류 50
12.9%
본 50
12.9%
종 42
10.9%
수 34
 
8.8%
목 31
 
8.0%
초 22
 
5.7%
무 19
 
4.9%
화 19
 
4.9%
외 18
 
4.7%
나 17
 
4.4%
Other values (55) 85
22.0%
Common
ValueCountFrequency (%)
195
36.1%
: 50
 
9.3%
1 47
 
8.7%
2 41
 
7.6%
0 37
 
6.9%
8 32
 
5.9%
4 28
 
5.2%
3 27
 
5.0%
7 23
 
4.3%
5 18
 
3.3%
Other values (3) 42
 
7.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 540
58.3%
Hangul 387
41.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
195
36.1%
: 50
 
9.3%
1 47
 
8.7%
2 41
 
7.6%
0 37
 
6.9%
8 32
 
5.9%
4 28
 
5.2%
3 27
 
5.0%
7 23
 
4.3%
5 18
 
3.3%
Other values (3) 42
 
7.8%
Hangul
ValueCountFrequency (%)
류 50
12.9%
본 50
12.9%
종 42
10.9%
수 34
 
8.8%
목 31
 
8.0%
초 22
 
5.7%
무 19
 
4.9%
화 19
 
4.9%
외 18
 
4.7%
나 17
 
4.4%
Other values (55) 85
22.0%

사업비(천원)
Real number (ℝ)

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean355840.81
Minimum18904
Maximum985000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T16:58:44.274162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum18904
5-th percentile19097.85
Q169371.25
median283114
Q3565011
95-th percentile855196.45
Maximum985000
Range966096
Interquartile range (IQR)495639.75

Descriptive statistics

Standard deviation309176.28
Coefficient of variation (CV)0.86886122
Kurtosis-0.94475287
Mean355840.81
Median Absolute Deviation (MAD)235274
Skewness0.60880969
Sum11386906
Variance9.5589974 × 1010
MonotonicityNot monotonic
2023-12-12T16:58:44.443632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
123024 1
 
3.1%
830899 1
 
3.1%
985000 1
 
3.1%
853000 1
 
3.1%
263000 1
 
3.1%
699000 1
 
3.1%
19119 1
 
3.1%
857881 1
 
3.1%
442035 1
 
3.1%
303228 1
 
3.1%
Other values (22) 22
68.8%
ValueCountFrequency (%)
18904 1
3.1%
19072 1
3.1%
19119 1
3.1%
19151 1
3.1%
26129 1
3.1%
35055 1
3.1%
46054 1
3.1%
49626 1
3.1%
75953 1
3.1%
123024 1
3.1%
ValueCountFrequency (%)
985000 1
3.1%
857881 1
3.1%
853000 1
3.1%
830899 1
3.1%
826996 1
3.1%
816346 1
3.1%
699000 1
3.1%
578193 1
3.1%
560617 1
3.1%
491319 1
3.1%

위치
Text

Distinct31
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Memory size388.0 B
2023-12-12T16:58:44.666934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length14
Mean length10.3125
Min length3

Characters and Unicode

Total characters330
Distinct characters119
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)93.8%

Sample

1st row서울주유소~이호R
2nd rowKCTV~전원유치원
3rd row해안교차로~오라C.C
4th row제대병원~산천단
5th row해안교차로~서부경찰서
ValueCountFrequency (%)
일원 3
 
6.1%
애조로 2
 
4.1%
아라1동 2
 
4.1%
등 2
 
4.1%
봉개동 1
 
2.0%
일주서로+한림3리~명월사거리 1
 
2.0%
6121-1번지 1
 
2.0%
520㎡ 1
 
2.0%
오라2동 1
 
2.0%
899-4번지일원 1
 
2.0%
Other values (34) 34
69.4%
2023-12-12T16:58:45.095727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
18
 
5.5%
원 15
 
4.5%
로 14
 
4.2%
일 12
 
3.6%
1 12
 
3.6%
동 10
 
3.0%
2 8
 
2.4%
~ 8
 
2.4%
서 8
 
2.4%
- 7
 
2.1%
Other values (109) 218
66.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 214
64.8%
Decimal Number 53
 
16.1%
Space Separator 18
 
5.5%
Math Symbol 16
 
4.8%
Uppercase Letter 13
 
3.9%
Dash Punctuation 7
 
2.1%
Other Punctuation 4
 
1.2%
Open Punctuation 2
 
0.6%
Close Punctuation 2
 
0.6%
Other Symbol 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 15
 
7.0%
로 14
 
6.5%
일 12
 
5.6%
동 10
 
4.7%
서 8
 
3.7%
라 6
 
2.8%
지 5
 
2.3%
주 5
 
2.3%
이 4
 
1.9%
번 4
 
1.9%
Other values (83) 131
61.2%
Decimal Number
ValueCountFrequency (%)
1 12
22.6%
2 8
15.1%
9 5
9.4%
5 5
9.4%
3 5
9.4%
4 5
9.4%
6 4
 
7.5%
8 4
 
7.5%
0 3
 
5.7%
7 2
 
3.8%
Uppercase Letter
ValueCountFrequency (%)
C 5
38.5%
V 2
 
15.4%
T 2
 
15.4%
K 2
 
15.4%
R 1
 
7.7%
I 1
 
7.7%
Math Symbol
ValueCountFrequency (%)
~ 8
50.0%
+ 7
43.8%
～ 1
 
6.2%
Other Punctuation
ValueCountFrequency (%)
. 2
50.0%
@ 2
50.0%
Space Separator
ValueCountFrequency (%)
18
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Other Symbol
ValueCountFrequency (%)
㎡ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 214
64.8%
Common 103
31.2%
Latin 13
 
3.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 15
 
7.0%
로 14
 
6.5%
일 12
 
5.6%
동 10
 
4.7%
서 8
 
3.7%
라 6
 
2.8%
지 5
 
2.3%
주 5
 
2.3%
이 4
 
1.9%
번 4
 
1.9%
Other values (83) 131
61.2%
Common
ValueCountFrequency (%)
18
17.5%
1 12
11.7%
2 8
 
7.8%
~ 8
 
7.8%
- 7
 
6.8%
+ 7
 
6.8%
9 5
 
4.9%
5 5
 
4.9%
3 5
 
4.9%
4 5
 
4.9%
Other values (10) 23
22.3%
Latin
ValueCountFrequency (%)
C 5
38.5%
V 2
 
15.4%
T 2
 
15.4%
K 2
 
15.4%
R 1
 
7.7%
I 1
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 214
64.8%
ASCII 114
34.5%
CJK Compat 1
 
0.3%
None 1
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
18
15.8%
1 12
 
10.5%
2 8
 
7.0%
~ 8
 
7.0%
- 7
 
6.1%
+ 7
 
6.1%
9 5
 
4.4%
5 5
 
4.4%
3 5
 
4.4%
4 5
 
4.4%
Other values (14) 34
29.8%
Hangul
ValueCountFrequency (%)
원 15
 
7.0%
로 14
 
6.5%
일 12
 
5.6%
동 10
 
4.7%
서 8
 
3.7%
라 6
 
2.8%
지 5
 
2.3%
주 5
 
2.3%
이 4
 
1.9%
번 4
 
1.9%
Other values (83) 131
61.2%
CJK Compat
ValueCountFrequency (%)
㎡ 1
100.0%
None
ValueCountFrequency (%)
～ 1
100.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size388.0 B
2023-02-13
32 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-02-13
2nd row2023-02-13
3rd row2023-02-13
4th row2023-02-13
5th row2023-02-13

Common Values

ValueCountFrequency (%)
2023-02-13 32
100.0%

Length

2023-12-12T16:58:45.219241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:58:45.308711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-02-13 32
100.0%

Interactions

2023-12-12T16:58:41.567359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:58:41.353302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:58:41.693145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:58:41.470107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T16:58:45.375076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
조성년도장소사업량사업내용사업비(천원)위치
조성년도1.0000.0000.8771.0000.5050.000
장소0.0001.0000.8911.0000.8471.000
사업량0.8770.8911.0001.0000.0000.961
사업내용1.0001.0001.0001.0001.0001.000
사업비(천원)0.5050.8470.0001.0001.0000.851
위치0.0001.0000.9611.0000.8511.000
2023-12-12T16:58:45.492190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
조성년도사업비(천원)
조성년도1.0000.274
사업비(천원)0.2741.000

Missing values

2023-12-12T16:58:42.152754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T16:58:42.282126image/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

조성년도장소사업량사업내용사업비(천원)위치데이터기준일자
02007오광로변6.3km수목류 : 왕벚나무 384본123024서울주유소~이호R2023-02-13
12008연북로변(중앙분리대)1.35ha수목류 : 18종 12792본+초화류 : 11종 30502본316492KCTV~전원유치원2023-02-13
22009국도대체 우회도로변4.5ha수목류 : 30종 20777본+초화류 : 3종 10140본816346해안교차로~오라C.C2023-02-13
32010중앙로5ha수목류 : 21종 34176본+초화류 : 14종 42218본560617제대병원~산천단2023-02-13
42010국도대체우회도로3km수목류 : 2종 24본131359해안교차로~서부경찰서2023-02-13
52011연북로(양쪽식수대)4.8km수목류 : 16종 10547본491319KCTV～전원유치원2023-02-13
62011월광로5km수목류 : 5종 8337본+초화류 : 2종 4393본155940노형정든마을@~대림@2023-02-13
72011오남로0.8km수목류 : 왕벚나무 85본+초화류 : 3종 24908본75953보건소~한라도서관입구2023-02-13
82012아라IC교차로2.5ha수목류 : 22종 8434본+초화류 : 33종 115160본826996아라IC교차로2023-02-13
92012도로변식수대1.7ha수목류 : 18종 2854본46054용문로+7호광장 등2023-02-13
조성년도장소사업량사업내용사업비(천원)위치데이터기준일자
222017일주서로(한림)2.2ha수목류 : 이팝나무외6종 7167본+초화류 : 가우라 외 2종 44577본231442일주서로+한림3리~명월사거리2023-02-13
232017아라택지0.05ha수목류 : 팽나무 외 12종 1017본+초화류 : 유럽스 외 1종 1020본35055아라1동 6121-1번지 520㎡2023-02-13
242018오남로1.5ha수목류 : 애기동백 외 2종 2103본+초화류 : 유럽스 외 8종 114563본303228오라2동 899-4번지일원2023-02-13
252018연삼로4.06ha목류 : 나무수국 외 3종 32980본+초화류 : 유럽스 15625본442035화북2동 793-6번지일원2023-02-13
262019번영로5.74ha수목류 : 산딸나무외 1종 138088본857881봉개동 1442-3번지일원2023-02-13
272019한라대학로0.1ha수목류 : 꽃댕강나무 1종 1680본19119노형동 1509-1일원2023-02-13
282020일주동로5.1ha수목류 : 종가시 외 2종 39275본699000신촌리 2589-16 일원2023-02-13
292020연신로1.4ha수목류 : 치자나무 1종 19464본263000이도이동 85-1 일원2023-02-13
302021신대로5ha수목류 : 후박나무 외 4종 8966본+초화류 : 수호초 외 14종 60557본853000연동 302 일원2023-02-13
312022송이길 등5ha수목류 : 조팝나무 등 20종 32306본+초화류 : 600본985000일주동로+송이길+4.3공원+경찰청2023-02-13