Overview

Dataset statistics

Number of variables8
Number of observations35
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.4 KiB
Average record size in memory69.8 B

Variable types

Text4
Numeric2
Categorical2

Dataset

Description울산시설공단_시설물_현황 데이터로서 시설명, 연면적, 주요시설, 주요기능, 주소 등의 항목 정보를 제공합니다.
URLhttps://www.data.go.kr/data/15055509/fileData.do

Alerts

데이터 기준일자 has constant value ""Constant
연면적(제곱미터) is highly overall correlated with 대지(부지)면적High correlation
대지(부지)면적 is highly overall correlated with 연면적(제곱미터) and 1 other fieldsHigh correlation
주소 is highly overall correlated with 대지(부지)면적High correlation
시설명 has unique valuesUnique
연면적(제곱미터) has unique valuesUnique
대지(부지)면적 has unique valuesUnique
연면적(제곱미터) has 1 (2.9%) zerosZeros

Reproduction

Analysis started2023-12-12 08:55:09.221274
Analysis finished2023-12-12 08:55:10.421397
Duration1.2 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시설명
Text

UNIQUE 

Distinct35
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size412.0 B
2023-12-12T17:55:10.590265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length11
Mean length9.4857143
Min length5

Characters and Unicode

Total characters332
Distinct characters107
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique35 ?
Unique (%)100.0%

Sample

1st row울산대공원 실내수영장
2nd row울산대공원 충혼탑
3rd row울산대공원 나비식물원
4th row울산대공원 그린하우스
5th row울산대공원 곤충생태관
ValueCountFrequency (%)
울산대공원 18
31.0%
종합운동장 2
 
3.4%
문수스쿼시장 1
 
1.7%
동천체육관 1
 
1.7%
문수야구장 1
 
1.7%
문수실내사격장 1
 
1.7%
문수테니스장 1
 
1.7%
문수인라인 1
 
1.7%
롤러스케이트장 1
 
1.7%
문수론볼경기장 1
 
1.7%
Other values (30) 30
51.7%
2023-12-12T17:55:11.025029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
23
 
6.9%
원 22
 
6.6%
울 20
 
6.0%
대 20
 
6.0%
공 20
 
6.0%
산 20
 
6.0%
장 16
 
4.8%
동 12
 
3.6%
문 11
 
3.3%
수 11
 
3.3%
Other values (97) 157
47.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 309
93.1%
Space Separator 23
 
6.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 22
 
7.1%
울 20
 
6.5%
대 20
 
6.5%
공 20
 
6.5%
산 20
 
6.5%
장 16
 
5.2%
동 12
 
3.9%
문 11
 
3.6%
수 11
 
3.6%
시 7
 
2.3%
Other values (96) 150
48.5%
Space Separator
ValueCountFrequency (%)
23
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 309
93.1%
Common 23
 
6.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 22
 
7.1%
울 20
 
6.5%
대 20
 
6.5%
공 20
 
6.5%
산 20
 
6.5%
장 16
 
5.2%
동 12
 
3.9%
문 11
 
3.6%
수 11
 
3.6%
시 7
 
2.3%
Other values (96) 150
48.5%
Common
ValueCountFrequency (%)
23
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 309
93.1%
ASCII 23
 
6.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
23
100.0%
Hangul
ValueCountFrequency (%)
원 22
 
7.1%
울 20
 
6.5%
대 20
 
6.5%
공 20
 
6.5%
산 20
 
6.5%
장 16
 
5.2%
동 12
 
3.9%
문 11
 
3.6%
수 11
 
3.6%
시 7
 
2.3%
Other values (96) 150
48.5%

연면적(제곱미터)
Real number (ℝ)

HIGH CORRELATION  UNIQUE  ZEROS 

Distinct35
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6369.0931
Minimum0
Maximum82624.4
Zeros1
Zeros (%)2.9%
Negative0
Negative (%)0.0%
Memory size447.0 B
2023-12-12T17:55:11.192620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile69.375
Q1293.06
median699.6
Q33033.375
95-th percentile27005
Maximum82624.4
Range82624.4
Interquartile range (IQR)2740.315

Descriptive statistics

Standard deviation15434.303
Coefficient of variation (CV)2.4233125
Kurtosis18.249082
Mean6369.0931
Median Absolute Deviation (MAD)590.94
Skewness4.0158618
Sum222918.26
Variance2.3821771 × 108
MonotonicityNot monotonic
2023-12-12T17:55:11.364166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
6910.79 1
 
2.9%
1022.28 1
 
2.9%
15600.0 1
 
2.9%
1406.67 1
 
2.9%
335.17 1
 
2.9%
459.53 1
 
2.9%
292.13 1
 
2.9%
2087.0 1
 
2.9%
735.28 1
 
2.9%
22670.0 1
 
2.9%
Other values (25) 25
71.4%
ValueCountFrequency (%)
0.0 1
2.9%
56.25 1
2.9%
75.0 1
2.9%
108.66 1
2.9%
121.0 1
2.9%
191.11 1
2.9%
208.8 1
2.9%
286.25 1
2.9%
292.13 1
2.9%
293.99 1
2.9%
ValueCountFrequency (%)
82624.4 1
2.9%
37120.0 1
2.9%
22670.0 1
2.9%
15600.0 1
2.9%
13735.37 1
2.9%
13119.7 1
2.9%
10644.0 1
2.9%
6910.79 1
2.9%
3879.0 1
2.9%
2187.75 1
2.9%

대지(부지)면적
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct35
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18869.524
Minimum20.25
Maximum113602
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size447.0 B
2023-12-12T17:55:11.531855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20.25
5-th percentile505.9
Q11514.5
median6520
Q318326.5
95-th percentile94157.83
Maximum113602
Range113581.75
Interquartile range (IQR)16812

Descriptive statistics

Standard deviation30626.111
Coefficient of variation (CV)1.6230463
Kurtosis3.4098434
Mean18869.524
Median Absolute Deviation (MAD)5830
Skewness2.1297032
Sum660433.33
Variance9.3795866 × 108
MonotonicityNot monotonic
2023-12-12T17:55:11.725781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
8772.0 1
 
2.9%
8159.0 1
 
2.9%
62987.0 1
 
2.9%
3717.64 1
 
2.9%
16192.54 1
 
2.9%
18330.0 1
 
2.9%
5848.8 1
 
2.9%
3788.0 1
 
2.9%
23844.0 1
 
2.9%
79287.0 1
 
2.9%
Other values (25) 25
71.4%
ValueCountFrequency (%)
20.25 1
2.9%
340.0 1
2.9%
577.0 1
2.9%
589.0 1
2.9%
660.0 1
2.9%
690.0 1
2.9%
892.0 1
2.9%
1385.0 1
2.9%
1398.0 1
2.9%
1631.0 1
2.9%
ValueCountFrequency (%)
113602.0 1
2.9%
98026.1 1
2.9%
92500.0 1
2.9%
79287.0 1
2.9%
62987.0 1
2.9%
23844.0 1
2.9%
21675.0 1
2.9%
20030.0 1
2.9%
18330.0 1
2.9%
18323.0 1
2.9%

주요시설
Text

Distinct21
Distinct (%)60.0%
Missing0
Missing (%)0.0%
Memory size412.0 B
2023-12-12T17:55:12.003941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length4
Mean length9.6
Min length4

Characters and Unicode

Total characters336
Distinct characters110
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

Unique17 ?
Unique (%)48.6%

Sample

1st row운동시설
2nd row교양시설
3rd row교양시설
4th row교양시설
5th row교양시설
ValueCountFrequency (%)
교양시설 8
 
12.9%
편익시설 4
 
6.5%
관리시설 4
 
6.5%
수영장 2
 
3.2%
육상트랙 2
 
3.2%
운동시설 2
 
3.2%
경기장 2
 
3.2%
그늘막(4동 1
 
1.6%
추모의집 1
 
1.6%
공연장 1
 
1.6%
Other values (35) 35
56.5%
2023-12-12T17:55:12.444400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
28
 
8.3%
시 20
 
6.0%
설 18
 
5.4%
장 15
 
4.5%
교 8
 
2.4%
양 8
 
2.4%
트 7
 
2.1%
) 7
 
2.1%
( 7
 
2.1%
기 6
 
1.8%
Other values (100) 212
63.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 261
77.7%
Space Separator 28
 
8.3%
Decimal Number 22
 
6.5%
Uppercase Letter 9
 
2.7%
Close Punctuation 7
 
2.1%
Open Punctuation 7
 
2.1%
Other Punctuation 2
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 20
 
7.7%
설 18
 
6.9%
장 15
 
5.7%
교 8
 
3.1%
양 8
 
3.1%
트 7
 
2.7%
기 6
 
2.3%
개 6
 
2.3%
관 6
 
2.3%
경 5
 
1.9%
Other values (85) 162
62.1%
Decimal Number
ValueCountFrequency (%)
2 6
27.3%
1 4
18.2%
0 4
18.2%
6 3
13.6%
5 2
 
9.1%
4 2
 
9.1%
8 1
 
4.5%
Uppercase Letter
ValueCountFrequency (%)
M 3
33.3%
A 2
22.2%
B 2
22.2%
S 2
22.2%
Space Separator
ValueCountFrequency (%)
28
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 261
77.7%
Common 66
 
19.6%
Latin 9
 
2.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 20
 
7.7%
설 18
 
6.9%
장 15
 
5.7%
교 8
 
3.1%
양 8
 
3.1%
트 7
 
2.7%
기 6
 
2.3%
개 6
 
2.3%
관 6
 
2.3%
경 5
 
1.9%
Other values (85) 162
62.1%
Common
ValueCountFrequency (%)
28
42.4%
) 7
 
10.6%
( 7
 
10.6%
2 6
 
9.1%
1 4
 
6.1%
0 4
 
6.1%
6 3
 
4.5%
, 2
 
3.0%
5 2
 
3.0%
4 2
 
3.0%
Latin
ValueCountFrequency (%)
M 3
33.3%
A 2
22.2%
B 2
22.2%
S 2
22.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 261
77.7%
ASCII 75
 
22.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
28
37.3%
) 7
 
9.3%
( 7
 
9.3%
2 6
 
8.0%
1 4
 
5.3%
0 4
 
5.3%
M 3
 
4.0%
6 3
 
4.0%
A 2
 
2.7%
B 2
 
2.7%
Other values (5) 9
 
12.0%
Hangul
ValueCountFrequency (%)
시 20
 
7.7%
설 18
 
6.9%
장 15
 
5.7%
교 8
 
3.1%
양 8
 
3.1%
트 7
 
2.7%
기 6
 
2.3%
개 6
 
2.3%
관 6
 
2.3%
경 5
 
1.9%
Other values (85) 162
62.1%

주요기능
Text

Distinct20
Distinct (%)57.1%
Missing0
Missing (%)0.0%
Memory size412.0 B
2023-12-12T17:55:12.686225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length2
Mean length5.8
Min length2

Characters and Unicode

Total characters203
Distinct characters78
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

Unique15 ?
Unique (%)42.9%

Sample

1st row운동
2nd row교양
3rd row교양
4th row교양
5th row교양
ValueCountFrequency (%)
교양 8
 
14.5%
관리 4
 
7.3%
편익 4
 
7.3%
운동 2
 
3.6%
축구 2
 
3.6%
육상경기 2
 
3.6%
경기장 2
 
3.6%
강습 2
 
3.6%
등 2
 
3.6%
근린생활시설 1
 
1.8%
Other values (26) 26
47.3%
2023-12-12T17:55:13.046838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
20
 
9.9%
구 10
 
4.9%
교 8
 
3.9%
장 8
 
3.9%
기 8
 
3.9%
양 8
 
3.9%
경 7
 
3.4%
시 7
 
3.4%
관 6
 
3.0%
설 5
 
2.5%
Other values (68) 116
57.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 181
89.2%
Space Separator 20
 
9.9%
Open Punctuation 1
 
0.5%
Close Punctuation 1
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 10
 
5.5%
교 8
 
4.4%
장 8
 
4.4%
기 8
 
4.4%
양 8
 
4.4%
경 7
 
3.9%
시 7
 
3.9%
관 6
 
3.3%
설 5
 
2.8%
습 5
 
2.8%
Other values (65) 109
60.2%
Space Separator
ValueCountFrequency (%)
20
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 181
89.2%
Common 22
 
10.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 10
 
5.5%
교 8
 
4.4%
장 8
 
4.4%
기 8
 
4.4%
양 8
 
4.4%
경 7
 
3.9%
시 7
 
3.9%
관 6
 
3.3%
설 5
 
2.8%
습 5
 
2.8%
Other values (65) 109
60.2%
Common
ValueCountFrequency (%)
20
90.9%
( 1
 
4.5%
) 1
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 181
89.2%
ASCII 22
 
10.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
20
90.9%
( 1
 
4.5%
) 1
 
4.5%
Hangul
ValueCountFrequency (%)
구 10
 
5.5%
교 8
 
4.4%
장 8
 
4.4%
기 8
 
4.4%
양 8
 
4.4%
경 7
 
3.9%
시 7
 
3.9%
관 6
 
3.3%
설 5
 
2.8%
습 5
 
2.8%
Other values (65) 109
60.2%

연락처
Text

Distinct19
Distinct (%)54.3%
Missing0
Missing (%)0.0%
Memory size412.0 B
2023-12-12T17:55:13.244655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters420
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique15 ?
Unique (%)42.9%

Sample

1st row052-271-8818
2nd row052-271-8818
3rd row052-226-0385
4th row052-226-0313
5th row052-226-0385
ValueCountFrequency (%)
052-271-8818 12
34.3%
052-220-2252 4
 
11.4%
052-290-7200 2
 
5.7%
052-226-0385 2
 
5.7%
052-296-2512 1
 
2.9%
052-226-0313 1
 
2.9%
052-220-2791 1
 
2.9%
052-232-0300 1
 
2.9%
052-255-3835 1
 
2.9%
052-291-6100 1
 
2.9%
Other values (9) 9
25.7%
2023-12-12T17:55:13.588031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 112
26.7%
- 70
16.7%
0 69
16.4%
5 46
11.0%
8 39
 
9.3%
1 32
 
7.6%
7 15
 
3.6%
3 13
 
3.1%
9 10
 
2.4%
6 10
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 350
83.3%
Dash Punctuation 70
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 112
32.0%
0 69
19.7%
5 46
13.1%
8 39
 
11.1%
1 32
 
9.1%
7 15
 
4.3%
3 13
 
3.7%
9 10
 
2.9%
6 10
 
2.9%
4 4
 
1.1%
Dash Punctuation
ValueCountFrequency (%)
- 70
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 420
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 112
26.7%
- 70
16.7%
0 69
16.4%
5 46
11.0%
8 39
 
9.3%
1 32
 
7.6%
7 15
 
3.6%
3 13
 
3.1%
9 10
 
2.4%
6 10
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 420
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 112
26.7%
- 70
16.7%
0 69
16.4%
5 46
11.0%
8 39
 
9.3%
1 32
 
7.6%
7 15
 
3.6%
3 13
 
3.1%
9 10
 
2.4%
6 10
 
2.4%

주소
Categorical

HIGH CORRELATION 

Distinct9
Distinct (%)25.7%
Missing0
Missing (%)0.0%
Memory size412.0 B
울산광역시 남구 대공원로 94
18 
울산광역시 남구 문수로 44
8 
울산광역시 중구 염포로 85
3 
울산광역시 남구 남부순환도로 555
 
1
울산광역시 중구 염포로 85-1
 
1
Other values (4)
4 

Length

Max length21
Median length16
Mean length16.057143
Min length15

Unique

Unique6 ?
Unique (%)17.1%

Sample

1st row울산광역시 남구 대공원로 94
2nd row울산광역시 남구 대공원로 94
3rd row울산광역시 남구 대공원로 94
4th row울산광역시 남구 대공원로 94
5th row울산광역시 남구 대공원로 94

Common Values

ValueCountFrequency (%)
울산광역시 남구 대공원로 94 18
51.4%
울산광역시 남구 문수로 44 8
22.9%
울산광역시 중구 염포로 85 3
 
8.6%
울산광역시 남구 남부순환도로 555 1
 
2.9%
울산광역시 중구 염포로 85-1 1
 
2.9%
울산광역시 남구 삼산중로 144 1
 
2.9%
울산광역시 울주군 삼동면 보삼길 550 1
 
2.9%
울산광역시 동구 등대로 100 1
 
2.9%
울산광역시 울주군 언양읍 언양로22 1
 
2.9%

Length

2023-12-12T17:55:13.748659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:55:13.921019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
울산광역시 35
24.8%
남구 28
19.9%
대공원로 18
12.8%
94 18
12.8%
문수로 8
 
5.7%
44 8
 
5.7%
중구 4
 
2.8%
염포로 4
 
2.8%
85 3
 
2.1%
울주군 2
 
1.4%
Other values (13) 13
 
9.2%

데이터 기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size412.0 B
2023-07-14
35 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-07-14
2nd row2023-07-14
3rd row2023-07-14
4th row2023-07-14
5th row2023-07-14

Common Values

ValueCountFrequency (%)
2023-07-14 35
100.0%

Length

2023-12-12T17:55:14.107952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:55:14.210287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-07-14 35
100.0%

Interactions

2023-12-12T17:55:09.926138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:55:09.714037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:55:10.047068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:55:09.820360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T17:55:14.284870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설명연면적(제곱미터)대지(부지)면적주요시설주요기능연락처주소
시설명1.0001.0001.0001.0001.0001.0001.000
연면적(제곱미터)1.0001.0000.8801.0000.9870.9580.559
대지(부지)면적1.0000.8801.0000.9990.9690.9530.763
주요시설1.0001.0000.9991.0001.0000.9551.000
주요기능1.0000.9870.9691.0001.0000.9611.000
연락처1.0000.9580.9530.9550.9611.0001.000
주소1.0000.5590.7631.0001.0001.0001.000
2023-12-12T17:55:14.407255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연면적(제곱미터)대지(부지)면적주소
연면적(제곱미터)1.0000.6780.330
대지(부지)면적0.6781.0000.517
주소0.3300.5171.000

Missing values

2023-12-12T17:55:10.202748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T17:55:10.357186image/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

시설명연면적(제곱미터)대지(부지)면적주요시설주요기능연락처주소데이터 기준일자
0울산대공원 실내수영장6910.798772.0운동시설운동052-271-8818울산광역시 남구 대공원로 942023-07-14
1울산대공원 충혼탑1022.288159.0교양시설교양052-271-8818울산광역시 남구 대공원로 942023-07-14
2울산대공원 나비식물원1622.17862.0교양시설교양052-226-0385울산광역시 남구 대공원로 942023-07-14
3울산대공원 그린하우스396.61385.0교양시설교양052-226-0313울산광역시 남구 대공원로 942023-07-14
4울산대공원 곤충생태관699.64851.0교양시설교양052-226-0385울산광역시 남구 대공원로 942023-07-14
5울산대공원 동물원75.06825.0교양시설교양052-226-0396울산광역시 남구 대공원로 942023-07-14
6울산대공원 키즈테마파크1487.226520.0교양시설교양052-226-0393울산광역시 남구 대공원로 942023-07-14
7울산대공원 교통안전공원0.012962.0교양시설교양052-271-8818울산광역시 남구 대공원로 942023-07-14
8울산대공원 울산대종56.25340.0교양시설교양052-271-8818울산광역시 남구 대공원로 942023-07-14
9울산대공원 관리사무실동730.253770.0관리시설관리052-271-8818울산광역시 남구 대공원로 942023-07-14
시설명연면적(제곱미터)대지(부지)면적주요시설주요기능연락처주소데이터 기준일자
25문수스쿼시장2087.03788.0글라스코트1개ABS단신코트5개ASB가변형 단복식코트2개복식코트1개스쿼시 강습052-220-2221울산광역시 남구 문수로 442023-07-14
26시립문수궁도장735.2823844.0사대거리145M 표적판6개소국궁장052-220-2791울산광역시 남구 남부순환도로 5552023-07-14
27동천체육관22670.079287.0실내체육관농구 배구 등 구기운동052-294-4120울산광역시 중구 염포로 852023-07-14
28종합운동장 주경기장37120.0113602.0천연잔디구장 육상트랙축구 육상경기052-290-7200울산광역시 중구 염포로 852023-07-14
29종합운동장 보조경기장690.0690.0육상트랙축구 육상경기052-290-7200울산광역시 중구 염포로 852023-07-14
30동천국민체육센터3879.018323.0수영장 체육관 생활체조실 스쿼시장종합체육시설052-296-2512울산광역시 중구 염포로 85-12023-07-14
31노동자종합복지회관10644.05070.0공연장 수영장 헬스장 볼링장 강의실관람집회시설 운동시설 근린생활시설052-291-6100울산광역시 남구 삼산중로 1442023-07-14
32울산하늘공원13735.3798026.1승화원 장례식장 추모의집 자연장지화장 장례 봉안052-255-3835울산광역시 울주군 삼동면 보삼길 5502023-07-14
33대왕별아이누리2187.7521675.0실내놀이터 잔디광장, 플레이 하우스, 그물놀이터 등어린이 복합문화체험시설052-232-0300울산광역시 동구 등대로 1002023-07-14
34언양임시시외버스터미널121.07300.0시외버스터미널시외버스터미널052-264-3900울산광역시 울주군 언양읍 언양로222023-07-14