Overview

Dataset statistics

Number of variables27
Number of observations27
Missing cells294
Missing cells (%)40.3%
Duplicate rows1
Duplicate rows (%)3.7%
Total size in memory6.0 KiB
Average record size in memory228.9 B

Variable types

Text7
Categorical13
DateTime2
Boolean1
Numeric4

Dataset

Description울산중구도시관리공단에서 관리하고 있는 울산 중구관내 체육시설현황임.
Author울산광역시중구도시관리공단
URLhttps://www.data.go.kr/data/15005950/fileData.do

Alerts

유료사용여부 has constant value ""Constant
Dataset has 1 (3.7%) duplicate rowsDuplicates
개방시설명 has 21 (77.8%) missing valuesMissing
개방장소명 has 21 (77.8%) missing valuesMissing
평일운영시작시각 has 21 (77.8%) missing valuesMissing
평일운영종료시각 has 21 (77.8%) missing valuesMissing
유료사용여부 has 21 (77.8%) missing valuesMissing
수용가능인원수 has 21 (77.8%) missing valuesMissing
면적 has 21 (77.8%) missing valuesMissing
부대시설정보 has 21 (77.8%) missing valuesMissing
시설사진정보 has 21 (77.8%) missing valuesMissing
소재지도로명주소 has 21 (77.8%) missing valuesMissing
소재지지번주소 has 21 (77.8%) missing valuesMissing
사용안내전화번호 has 21 (77.8%) missing valuesMissing
위도 has 21 (77.8%) missing valuesMissing
경도 has 21 (77.8%) missing valuesMissing

Reproduction

Analysis started2023-12-12 16:31:07.621190
Analysis finished2023-12-12 16:31:08.022367
Duration0.4 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방시설명
Text

MISSING 

Distinct6
Distinct (%)100.0%
Missing21
Missing (%)77.8%
Memory size348.0 B
2023-12-13T01:31:08.116131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length7.5
Mean length6.8333333
Min length6

Characters and Unicode

Total characters41
Distinct characters29
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

Unique6 ?
Unique (%)100.0%

Sample

1st row유곡테니스장
2nd row성안생활체육공원
3rd row중구테니스장
4th row십리대밭축구장
5th row함월구민운동장
ValueCountFrequency (%)
유곡테니스장 1
16.7%
성안생활체육공원 1
16.7%
중구테니스장 1
16.7%
십리대밭축구장 1
16.7%
함월구민운동장 1
16.7%
중구다목적구장 1
16.7%
2023-12-13T01:31:08.400715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
장 5
 
12.2%
구 5
 
12.2%
중 2
 
4.9%
테 2
 
4.9%
니 2
 
4.9%
스 2
 
4.9%
월 1
 
2.4%
밭 1
 
2.4%
축 1
 
2.4%
함 1
 
2.4%
Other values (19) 19
46.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 41
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 5
 
12.2%
구 5
 
12.2%
중 2
 
4.9%
테 2
 
4.9%
니 2
 
4.9%
스 2
 
4.9%
월 1
 
2.4%
밭 1
 
2.4%
축 1
 
2.4%
함 1
 
2.4%
Other values (19) 19
46.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 41
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 5
 
12.2%
구 5
 
12.2%
중 2
 
4.9%
테 2
 
4.9%
니 2
 
4.9%
스 2
 
4.9%
월 1
 
2.4%
밭 1
 
2.4%
축 1
 
2.4%
함 1
 
2.4%
Other values (19) 19
46.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 41
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
장 5
 
12.2%
구 5
 
12.2%
중 2
 
4.9%
테 2
 
4.9%
니 2
 
4.9%
스 2
 
4.9%
월 1
 
2.4%
밭 1
 
2.4%
축 1
 
2.4%
함 1
 
2.4%
Other values (19) 19
46.3%

개방장소명
Text

MISSING 

Distinct6
Distinct (%)100.0%
Missing21
Missing (%)77.8%
Memory size348.0 B
2023-12-13T01:31:08.553449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6.5
Mean length6.5
Min length6

Characters and Unicode

Total characters39
Distinct characters23
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

Unique6 ?
Unique (%)100.0%

Sample

1st row유곡테니스장
2nd row성안테니스장
3rd row중구테니스장
4th row십리대밭축구장
5th row함월구민운동장
ValueCountFrequency (%)
유곡테니스장 1
16.7%
성안테니스장 1
16.7%
중구테니스장 1
16.7%
십리대밭축구장 1
16.7%
함월구민운동장 1
16.7%
중구다목적구장 1
16.7%
2023-12-13T01:31:08.845078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
장 6
15.4%
구 5
 
12.8%
테 3
 
7.7%
니 3
 
7.7%
스 3
 
7.7%
중 2
 
5.1%
유 1
 
2.6%
함 1
 
2.6%
목 1
 
2.6%
다 1
 
2.6%
Other values (13) 13
33.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 39
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 6
15.4%
구 5
 
12.8%
테 3
 
7.7%
니 3
 
7.7%
스 3
 
7.7%
중 2
 
5.1%
유 1
 
2.6%
함 1
 
2.6%
목 1
 
2.6%
다 1
 
2.6%
Other values (13) 13
33.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 39
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 6
15.4%
구 5
 
12.8%
테 3
 
7.7%
니 3
 
7.7%
스 3
 
7.7%
중 2
 
5.1%
유 1
 
2.6%
함 1
 
2.6%
목 1
 
2.6%
다 1
 
2.6%
Other values (13) 13
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 39
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
장 6
15.4%
구 5
 
12.8%
테 3
 
7.7%
니 3
 
7.7%
스 3
 
7.7%
중 2
 
5.1%
유 1
 
2.6%
함 1
 
2.6%
목 1
 
2.6%
다 1
 
2.6%
Other values (13) 13
33.3%

개방시설유형구분
Categorical

Distinct2
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Memory size348.0 B
<NA>
21 
공공체육시설
6 

Length

Max length6
Median length4
Mean length4.4444444
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 21
77.8%
공공체육시설 6
 
22.2%

Length

2023-12-13T01:31:08.971331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:31:09.084203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 21
77.8%
공공체육시설 6
 
22.2%

휴관일
Categorical

Distinct3
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Memory size348.0 B
<NA>
21 
신정,설,추석 연휴기간
3 
신정,설,추석
3 

Length

Max length12
Median length4
Mean length5.2222222
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row신정,설,추석 연휴기간
2nd row신정,설,추석 연휴기간
3rd row신정,설,추석 연휴기간
4th row신정,설,추석
5th row신정,설,추석

Common Values

ValueCountFrequency (%)
<NA> 21
77.8%
신정,설,추석 연휴기간 3
 
11.1%
신정,설,추석 3
 
11.1%

Length

2023-12-13T01:31:09.228868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:31:09.376856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 21
70.0%
신정,설,추석 6
 
20.0%
연휴기간 3
 
10.0%

평일운영시작시각
Date

MISSING 

Distinct3
Distinct (%)50.0%
Missing21
Missing (%)77.8%
Memory size348.0 B
Minimum2023-12-13 06:00:00
Maximum2023-12-13 09:00:00
2023-12-13T01:31:09.462409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:31:09.612407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)

평일운영종료시각
Date

MISSING 

Distinct3
Distinct (%)50.0%
Missing21
Missing (%)77.8%
Memory size348.0 B
Minimum2023-12-13 18:00:00
Maximum2023-12-13 22:00:00
2023-12-13T01:31:09.738138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:31:09.850523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)

주말운영시작시각
Categorical

Distinct2
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Memory size348.0 B
<NA>
21 
9:00
6 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row9:00
2nd row9:00
3rd row9:00
4th row9:00
5th row9:00

Common Values

ValueCountFrequency (%)
<NA> 21
77.8%
9:00 6
 
22.2%

Length

2023-12-13T01:31:09.979240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:31:10.068778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 21
77.8%
9:00 6
 
22.2%

주말운영종료시각
Categorical

Distinct2
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Memory size348.0 B
<NA>
21 
18:00
6 

Length

Max length5
Median length4
Mean length4.2222222
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row18:00
2nd row18:00
3rd row18:00
4th row18:00
5th row18:00

Common Values

ValueCountFrequency (%)
<NA> 21
77.8%
18:00 6
 
22.2%

Length

2023-12-13T01:31:10.186949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:31:10.277178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 21
77.8%
18:00 6
 
22.2%

유료사용여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)16.7%
Missing21
Missing (%)77.8%
Memory size186.0 B
True
6 
(Missing)
21 
ValueCountFrequency (%)
True 6
 
22.2%
(Missing) 21
77.8%
2023-12-13T01:31:10.347885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

사용기준시간
Categorical

Distinct4
Distinct (%)14.8%
Missing0
Missing (%)0.0%
Memory size348.0 B
<NA>
21 
3
3 
2
 
2
1
 
1

Length

Max length4
Median length4
Mean length3.3333333
Min length1

Unique

Unique1 ?
Unique (%)3.7%

Sample

1st row3
2nd row3
3rd row3
4th row2
5th row2

Common Values

ValueCountFrequency (%)
<NA> 21
77.8%
3 3
 
11.1%
2 2
 
7.4%
1 1
 
3.7%

Length

2023-12-13T01:31:10.444631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:31:10.538319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 21
77.8%
3 3
 
11.1%
2 2
 
7.4%
1 1
 
3.7%

사용료
Categorical

Distinct6
Distinct (%)22.2%
Missing0
Missing (%)0.0%
Memory size348.0 B
<NA>
20 
10000
 
2
40000
 
2
20000
 
1
17500
 
1

Length

Max length5
Median length4
Mean length4.1111111
Min length1

Unique

Unique3 ?
Unique (%)11.1%

Sample

1st row10000
2nd row10000
3rd row20000
4th row40000
5th row40000

Common Values

ValueCountFrequency (%)
<NA> 20
74.1%
10000 2
 
7.4%
40000 2
 
7.4%
20000 1
 
3.7%
17500 1
 
3.7%
0 1
 
3.7%

Length

2023-12-13T01:31:10.642746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:31:10.747523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 20
74.1%
10000 2
 
7.4%
40000 2
 
7.4%
20000 1
 
3.7%
17500 1
 
3.7%
0 1
 
3.7%

초과사용단위시간
Categorical

Distinct3
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Memory size348.0 B
<NA>
21 
3
3 
1
3 

Length

Max length4
Median length4
Mean length3.3333333
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row3
3rd row3
4th row1
5th row1

Common Values

ValueCountFrequency (%)
<NA> 21
77.8%
3 3
 
11.1%
1 3
 
11.1%

Length

2023-12-13T01:31:10.868188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:31:10.985763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 21
77.8%
3 3
 
11.1%
1 3
 
11.1%

초과사용료
Categorical

Distinct4
Distinct (%)14.8%
Missing0
Missing (%)0.0%
Memory size348.0 B
<NA>
21 
20000
3 
5000
 
2
17500
 
1

Length

Max length5
Median length4
Mean length4.1481481
Min length4

Unique

Unique1 ?
Unique (%)3.7%

Sample

1st row5000
2nd row5000
3rd row20000
4th row20000
5th row20000

Common Values

ValueCountFrequency (%)
<NA> 21
77.8%
20000 3
 
11.1%
5000 2
 
7.4%
17500 1
 
3.7%

Length

2023-12-13T01:31:11.099333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:31:11.192795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 21
77.8%
20000 3
 
11.1%
5000 2
 
7.4%
17500 1
 
3.7%

수용가능인원수
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)100.0%
Missing21
Missing (%)77.8%
Infinite0
Infinite (%)0.0%
Mean193.33333
Minimum10
Maximum500
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size375.0 B
2023-12-13T01:31:11.282604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile20
Q162.5
median150
Q3275
95-th percentile450
Maximum500
Range490
Interquartile range (IQR)212.5

Descriptive statistics

Standard deviation183.48479
Coefficient of variation (CV)0.94905924
Kurtosis0.29732967
Mean193.33333
Median Absolute Deviation (MAD)120
Skewness0.97782408
Sum1160
Variance33666.667
MonotonicityNot monotonic
2023-12-13T01:31:11.373592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
200 1
 
3.7%
50 1
 
3.7%
10 1
 
3.7%
500 1
 
3.7%
300 1
 
3.7%
100 1
 
3.7%
(Missing) 21
77.8%
ValueCountFrequency (%)
10 1
3.7%
50 1
3.7%
100 1
3.7%
200 1
3.7%
300 1
3.7%
500 1
3.7%
ValueCountFrequency (%)
500 1
3.7%
300 1
3.7%
200 1
3.7%
100 1
3.7%
50 1
3.7%
10 1
3.7%

면적
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)100.0%
Missing21
Missing (%)77.8%
Infinite0
Infinite (%)0.0%
Mean19795.833
Minimum2004
Maximum47455
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size375.0 B
2023-12-13T01:31:11.480612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2004
5-th percentile3933
Q19787.5
median10995
Q331204.5
95-th percentile44992.75
Maximum47455
Range45451
Interquartile range (IQR)21417

Descriptive statistics

Standard deviation18205.673
Coefficient of variation (CV)0.91967198
Kurtosis-1.0929615
Mean19795.833
Median Absolute Deviation (MAD)5133
Skewness0.93158474
Sum118775
Variance3.3144653 × 108
MonotonicityNot monotonic
2023-12-13T01:31:11.590402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
9990 1
 
3.7%
9720 1
 
3.7%
2004 1
 
3.7%
37606 1
 
3.7%
47455 1
 
3.7%
12000 1
 
3.7%
(Missing) 21
77.8%
ValueCountFrequency (%)
2004 1
3.7%
9720 1
3.7%
9990 1
3.7%
12000 1
3.7%
37606 1
3.7%
47455 1
3.7%
ValueCountFrequency (%)
47455 1
3.7%
37606 1
3.7%
12000 1
3.7%
9990 1
3.7%
9720 1
3.7%
2004 1
3.7%

부대시설정보
Text

MISSING 

Distinct6
Distinct (%)100.0%
Missing21
Missing (%)77.8%
Memory size348.0 B
2023-12-13T01:31:11.757689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length22
Mean length20.833333
Min length11

Characters and Unicode

Total characters125
Distinct characters50
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

Unique6 ?
Unique (%)100.0%

Sample

1st row하드코트 2면, 클레이코트 6면, 인조잔디 3면
2nd row족구장1면,인라인스케이트장1면,운동기구12점
3rd row코트 3면, 주차시설, 인조잔디 3면
4th row파고라6개,음수대1개
5th row농구장1면,훌라우프장1면,운동기구19점
ValueCountFrequency (%)
3면 3
16.7%
인조잔디 2
 
11.1%
하드코트 1
 
5.6%
2면 1
 
5.6%
클레이코트 1
 
5.6%
6면 1
 
5.6%
족구장1면,인라인스케이트장1면,운동기구12점 1
 
5.6%
코트 1
 
5.6%
주차시설 1
 
5.6%
파고라6개,음수대1개 1
 
5.6%
Other values (5) 5
27.8%
2023-12-13T01:31:12.058046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 13
 
10.4%
12
 
9.6%
면 9
 
7.2%
1 7
 
5.6%
장 7
 
5.6%
구 4
 
3.2%
인 4
 
3.2%
트 4
 
3.2%
운 3
 
2.4%
실 3
 
2.4%
Other values (40) 59
47.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 85
68.0%
Decimal Number 15
 
12.0%
Other Punctuation 13
 
10.4%
Space Separator 12
 
9.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
면 9
 
10.6%
장 7
 
8.2%
구 4
 
4.7%
인 4
 
4.7%
트 4
 
4.7%
운 3
 
3.5%
실 3
 
3.5%
라 3
 
3.5%
동 3
 
3.5%
코 3
 
3.5%
Other values (33) 42
49.4%
Decimal Number
ValueCountFrequency (%)
1 7
46.7%
3 3
20.0%
2 2
 
13.3%
6 2
 
13.3%
9 1
 
6.7%
Other Punctuation
ValueCountFrequency (%)
, 13
100.0%
Space Separator
ValueCountFrequency (%)
12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 85
68.0%
Common 40
32.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
면 9
 
10.6%
장 7
 
8.2%
구 4
 
4.7%
인 4
 
4.7%
트 4
 
4.7%
운 3
 
3.5%
실 3
 
3.5%
라 3
 
3.5%
동 3
 
3.5%
코 3
 
3.5%
Other values (33) 42
49.4%
Common
ValueCountFrequency (%)
, 13
32.5%
12
30.0%
1 7
17.5%
3 3
 
7.5%
2 2
 
5.0%
6 2
 
5.0%
9 1
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 85
68.0%
ASCII 40
32.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 13
32.5%
12
30.0%
1 7
17.5%
3 3
 
7.5%
2 2
 
5.0%
6 2
 
5.0%
9 1
 
2.5%
Hangul
ValueCountFrequency (%)
면 9
 
10.6%
장 7
 
8.2%
구 4
 
4.7%
인 4
 
4.7%
트 4
 
4.7%
운 3
 
3.5%
실 3
 
3.5%
라 3
 
3.5%
동 3
 
3.5%
코 3
 
3.5%
Other values (33) 42
49.4%

신청방법구분
Categorical

Distinct3
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Memory size348.0 B
<NA>
21 
인터넷
4 
전화,현장
 
2

Length

Max length5
Median length4
Mean length3.9259259
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row전화,현장
2nd row전화,현장
3rd row인터넷
4th row인터넷
5th row인터넷

Common Values

ValueCountFrequency (%)
<NA> 21
77.8%
인터넷 4
 
14.8%
전화,현장 2
 
7.4%

Length

2023-12-13T01:31:12.192582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:31:12.307277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 21
77.8%
인터넷 4
 
14.8%
전화,현장 2
 
7.4%

시설사진정보
Text

MISSING 

Distinct6
Distinct (%)100.0%
Missing21
Missing (%)77.8%
Memory size348.0 B
2023-12-13T01:31:12.489994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length49
Mean length49
Min length49

Characters and Unicode

Total characters294
Distinct characters33
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6 ?
Unique (%)100.0%

Sample

1st rowhttps://www.ujcmc.or.kr/PageLink.do?link=gym/gym3
2nd rowhttps://www.ujcmc.or.kr/PageLink.do?link=gym/gym4
3rd rowhttps://www.ujcmc.or.kr/PageLink.do?link=gym/gym5
4th rowhttps://www.ujcmc.or.kr/PageLink.do?link=gym/gym1
5th rowhttps://www.ujcmc.or.kr/PageLink.do?link=gym/gym2
ValueCountFrequency (%)
https://www.ujcmc.or.kr/pagelink.do?link=gym/gym3 1
16.7%
https://www.ujcmc.or.kr/pagelink.do?link=gym/gym4 1
16.7%
https://www.ujcmc.or.kr/pagelink.do?link=gym/gym5 1
16.7%
https://www.ujcmc.or.kr/pagelink.do?link=gym/gym1 1
16.7%
https://www.ujcmc.or.kr/pagelink.do?link=gym/gym2 1
16.7%
https://www.ujcmc.or.kr/pagelink.do?link=gym/gym6 1
16.7%
2023-12-13T01:31:12.846581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 24
 
8.2%
. 24
 
8.2%
g 18
 
6.1%
w 18
 
6.1%
k 18
 
6.1%
m 18
 
6.1%
i 12
 
4.1%
r 12
 
4.1%
y 12
 
4.1%
t 12
 
4.1%
Other values (23) 126
42.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 210
71.4%
Other Punctuation 60
 
20.4%
Uppercase Letter 12
 
4.1%
Math Symbol 6
 
2.0%
Decimal Number 6
 
2.0%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
g 18
 
8.6%
w 18
 
8.6%
k 18
 
8.6%
m 18
 
8.6%
i 12
 
5.7%
r 12
 
5.7%
y 12
 
5.7%
t 12
 
5.7%
n 12
 
5.7%
c 12
 
5.7%
Other values (10) 66
31.4%
Decimal Number
ValueCountFrequency (%)
3 1
16.7%
4 1
16.7%
5 1
16.7%
1 1
16.7%
2 1
16.7%
6 1
16.7%
Other Punctuation
ValueCountFrequency (%)
/ 24
40.0%
. 24
40.0%
? 6
 
10.0%
: 6
 
10.0%
Uppercase Letter
ValueCountFrequency (%)
L 6
50.0%
P 6
50.0%
Math Symbol
ValueCountFrequency (%)
= 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 222
75.5%
Common 72
 
24.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
g 18
 
8.1%
w 18
 
8.1%
k 18
 
8.1%
m 18
 
8.1%
i 12
 
5.4%
r 12
 
5.4%
y 12
 
5.4%
t 12
 
5.4%
n 12
 
5.4%
c 12
 
5.4%
Other values (12) 78
35.1%
Common
ValueCountFrequency (%)
/ 24
33.3%
. 24
33.3%
? 6
 
8.3%
= 6
 
8.3%
: 6
 
8.3%
3 1
 
1.4%
4 1
 
1.4%
5 1
 
1.4%
1 1
 
1.4%
2 1
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 294
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 24
 
8.2%
. 24
 
8.2%
g 18
 
6.1%
w 18
 
6.1%
k 18
 
6.1%
m 18
 
6.1%
i 12
 
4.1%
r 12
 
4.1%
y 12
 
4.1%
t 12
 
4.1%
Other values (23) 126
42.9%

소재지도로명주소
Text

MISSING 

Distinct6
Distinct (%)100.0%
Missing21
Missing (%)77.8%
Memory size348.0 B
2023-12-13T01:31:13.005219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length20
Mean length17.166667
Min length15

Characters and Unicode

Total characters103
Distinct characters33
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6 ?
Unique (%)100.0%

Sample

1st row울산광역시 중구 종가로 65
2nd row울산광역시 중구 함월1길 145
3rd row울산광역시 중구 종가로 305
4th row울산광역시 중구 내오산로121
5th row울산광역시 중구 성동1길 2
ValueCountFrequency (%)
중구 6
26.1%
울산광역시 5
21.7%
종가로 2
 
8.7%
65 1
 
4.3%
함월1길 1
 
4.3%
145 1
 
4.3%
305 1
 
4.3%
내오산로121 1
 
4.3%
성동1길 1
 
4.3%
2 1
 
4.3%
Other values (3) 3
13.0%
2023-12-13T01:31:13.306048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
18
17.5%
울 6
 
5.8%
광 6
 
5.8%
역 6
 
5.8%
시 6
 
5.8%
중 6
 
5.8%
구 6
 
5.8%
산 6
 
5.8%
1 5
 
4.9%
로 4
 
3.9%
Other values (23) 34
33.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 64
62.1%
Space Separator 18
 
17.5%
Decimal Number 18
 
17.5%
Open Punctuation 1
 
1.0%
Dash Punctuation 1
 
1.0%
Close Punctuation 1
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
울 6
9.4%
광 6
9.4%
역 6
9.4%
시 6
9.4%
중 6
9.4%
구 6
9.4%
산 6
9.4%
로 4
 
6.2%
동 2
 
3.1%
길 2
 
3.1%
Other values (12) 14
21.9%
Decimal Number
ValueCountFrequency (%)
1 5
27.8%
5 4
22.2%
2 3
16.7%
3 2
 
11.1%
6 2
 
11.1%
0 1
 
5.6%
4 1
 
5.6%
Space Separator
ValueCountFrequency (%)
18
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 64
62.1%
Common 39
37.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
울 6
9.4%
광 6
9.4%
역 6
9.4%
시 6
9.4%
중 6
9.4%
구 6
9.4%
산 6
9.4%
로 4
 
6.2%
동 2
 
3.1%
길 2
 
3.1%
Other values (12) 14
21.9%
Common
ValueCountFrequency (%)
18
46.2%
1 5
 
12.8%
5 4
 
10.3%
2 3
 
7.7%
3 2
 
5.1%
6 2
 
5.1%
( 1
 
2.6%
- 1
 
2.6%
0 1
 
2.6%
4 1
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 64
62.1%
ASCII 39
37.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
18
46.2%
1 5
 
12.8%
5 4
 
10.3%
2 3
 
7.7%
3 2
 
5.1%
6 2
 
5.1%
( 1
 
2.6%
- 1
 
2.6%
0 1
 
2.6%
4 1
 
2.6%
Hangul
ValueCountFrequency (%)
울 6
9.4%
광 6
9.4%
역 6
9.4%
시 6
9.4%
중 6
9.4%
구 6
9.4%
산 6
9.4%
로 4
 
6.2%
동 2
 
3.1%
길 2
 
3.1%
Other values (12) 14
21.9%

소재지지번주소
Text

MISSING 

Distinct6
Distinct (%)100.0%
Missing21
Missing (%)77.8%
Memory size348.0 B
2023-12-13T01:31:13.453161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length17.5
Mean length16.333333
Min length15

Characters and Unicode

Total characters98
Distinct characters29
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

Unique6 ?
Unique (%)100.0%

Sample

1st row울산광역시 유곡동 891-1
2nd row울산광역시 중구 성안동 900
3rd row울산광역시 중구 우정동 526
4th row울산광역시 중구 태화동 800
5th row울산광역시 중구 성안동 925-7
ValueCountFrequency (%)
울산광역시 6
26.1%
중구 5
21.7%
성안동 2
 
8.7%
유곡동 1
 
4.3%
891-1 1
 
4.3%
900 1
 
4.3%
우정동 1
 
4.3%
526 1
 
4.3%
태화동 1
 
4.3%
800 1
 
4.3%
Other values (3) 3
13.0%
2023-12-13T01:31:13.737362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
18
18.4%
울 6
 
6.1%
동 6
 
6.1%
광 6
 
6.1%
역 6
 
6.1%
시 6
 
6.1%
산 6
 
6.1%
중 5
 
5.1%
구 5
 
5.1%
0 4
 
4.1%
Other values (19) 30
30.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 58
59.2%
Decimal Number 20
 
20.4%
Space Separator 18
 
18.4%
Dash Punctuation 2
 
2.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
울 6
10.3%
동 6
10.3%
광 6
10.3%
역 6
10.3%
시 6
10.3%
산 6
10.3%
중 5
8.6%
구 5
8.6%
성 2
 
3.4%
안 2
 
3.4%
Other values (8) 8
13.8%
Decimal Number
ValueCountFrequency (%)
0 4
20.0%
9 4
20.0%
5 3
15.0%
8 2
10.0%
1 2
10.0%
2 2
10.0%
7 1
 
5.0%
6 1
 
5.0%
3 1
 
5.0%
Space Separator
ValueCountFrequency (%)
18
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 58
59.2%
Common 40
40.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
울 6
10.3%
동 6
10.3%
광 6
10.3%
역 6
10.3%
시 6
10.3%
산 6
10.3%
중 5
8.6%
구 5
8.6%
성 2
 
3.4%
안 2
 
3.4%
Other values (8) 8
13.8%
Common
ValueCountFrequency (%)
18
45.0%
0 4
 
10.0%
9 4
 
10.0%
5 3
 
7.5%
8 2
 
5.0%
1 2
 
5.0%
- 2
 
5.0%
2 2
 
5.0%
7 1
 
2.5%
6 1
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 58
59.2%
ASCII 40
40.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
18
45.0%
0 4
 
10.0%
9 4
 
10.0%
5 3
 
7.5%
8 2
 
5.0%
1 2
 
5.0%
- 2
 
5.0%
2 2
 
5.0%
7 1
 
2.5%
6 1
 
2.5%
Hangul
ValueCountFrequency (%)
울 6
10.3%
동 6
10.3%
광 6
10.3%
역 6
10.3%
시 6
10.3%
산 6
10.3%
중 5
8.6%
구 5
8.6%
성 2
 
3.4%
안 2
 
3.4%
Other values (8) 8
13.8%

관리기관명
Categorical

Distinct2
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Memory size348.0 B
<NA>
21 
울산중구도시관리공단
6 

Length

Max length10
Median length4
Mean length5.3333333
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 21
77.8%
울산중구도시관리공단 6
 
22.2%

Length

2023-12-13T01:31:13.888899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:31:13.990632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 21
77.8%
울산중구도시관리공단 6
 
22.2%

담당부서명
Categorical

Distinct2
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Memory size348.0 B
<NA>
21 
시설관리팀
6 

Length

Max length5
Median length4
Mean length4.2222222
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 21
77.8%
시설관리팀 6
 
22.2%

Length

2023-12-13T01:31:14.104962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:31:14.201223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 21
77.8%
시설관리팀 6
 
22.2%

사용안내전화번호
Text

MISSING 

Distinct4
Distinct (%)66.7%
Missing21
Missing (%)77.8%
Memory size348.0 B
2023-12-13T01:31:14.312959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.166667
Min length12

Characters and Unicode

Total characters73
Distinct characters10
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

Unique3 ?
Unique (%)50.0%

Sample

1st row070-8244-3679
2nd row052-290-7663
3rd row052-290-7664
4th row052-290-7666
5th row052-290-7666
ValueCountFrequency (%)
052-290-7666 3
50.0%
070-8244-3679 1
 
16.7%
052-290-7663 1
 
16.7%
052-290-7664 1
 
16.7%
2023-12-13T01:31:14.566056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6 14
19.2%
0 12
16.4%
- 12
16.4%
2 11
15.1%
7 7
9.6%
9 6
8.2%
5 5
 
6.8%
4 3
 
4.1%
3 2
 
2.7%
8 1
 
1.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 61
83.6%
Dash Punctuation 12
 
16.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 14
23.0%
0 12
19.7%
2 11
18.0%
7 7
11.5%
9 6
9.8%
5 5
 
8.2%
4 3
 
4.9%
3 2
 
3.3%
8 1
 
1.6%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 73
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
6 14
19.2%
0 12
16.4%
- 12
16.4%
2 11
15.1%
7 7
9.6%
9 6
8.2%
5 5
 
6.8%
4 3
 
4.1%
3 2
 
2.7%
8 1
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 73
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6 14
19.2%
0 12
16.4%
- 12
16.4%
2 11
15.1%
7 7
9.6%
9 6
8.2%
5 5
 
6.8%
4 3
 
4.1%
3 2
 
2.7%
8 1
 
1.4%

홈페이지주소
Categorical

Distinct2
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Memory size348.0 B
<NA>
21 
http://www.ujcmc.or.kr/
6 

Length

Max length23
Median length4
Mean length8.2222222
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowhttp://www.ujcmc.or.kr/
2nd rowhttp://www.ujcmc.or.kr/
3rd rowhttp://www.ujcmc.or.kr/
4th rowhttp://www.ujcmc.or.kr/
5th rowhttp://www.ujcmc.or.kr/

Common Values

ValueCountFrequency (%)
<NA> 21
77.8%
http://www.ujcmc.or.kr/ 6
 
22.2%

Length

2023-12-13T01:31:14.704163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:31:14.806514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 21
77.8%
http://www.ujcmc.or.kr 6
 
22.2%

위도
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)100.0%
Missing21
Missing (%)77.8%
Infinite0
Infinite (%)0.0%
Mean35.570742
Minimum35.551701
Maximum35.588382
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size375.0 B
2023-12-13T01:31:14.911048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.551701
5-th percentile35.554939
Q135.564724
median35.570874
Q335.577678
95-th percentile35.585778
Maximum35.588382
Range0.0366807
Interquartile range (IQR)0.012953145

Descriptive statistics

Standard deviation0.012911011
Coefficient of variation (CV)0.00036296714
Kurtosis-0.33359489
Mean35.570742
Median Absolute Deviation (MAD)0.0066573
Skewness-0.17210652
Sum213.42445
Variance0.00016669419
MonotonicityNot monotonic
2023-12-13T01:31:15.015873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
35.5646525 1
 
3.7%
35.5768088 1
 
3.7%
35.56494002 1
 
3.7%
35.5517013 1
 
3.7%
35.5779671 1
 
3.7%
35.588382 1
 
3.7%
(Missing) 21
77.8%
ValueCountFrequency (%)
35.5517013 1
3.7%
35.5646525 1
3.7%
35.56494002 1
3.7%
35.5768088 1
3.7%
35.5779671 1
3.7%
35.588382 1
3.7%
ValueCountFrequency (%)
35.588382 1
3.7%
35.5779671 1
3.7%
35.5768088 1
3.7%
35.56494002 1
3.7%
35.5646525 1
3.7%
35.5517013 1
3.7%

경도
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)100.0%
Missing21
Missing (%)77.8%
Infinite0
Infinite (%)0.0%
Mean129.30202
Minimum129.28364
Maximum129.32193
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size375.0 B
2023-12-13T01:31:15.131243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum129.28364
5-th percentile129.28411
Q1129.29014
median129.30601
Q3129.30876
95-th percentile129.3187
Maximum129.32193
Range0.03829
Interquartile range (IQR)0.018619

Descriptive statistics

Standard deviation0.014800742
Coefficient of variation (CV)0.00011446644
Kurtosis-1.1576115
Mean129.30202
Median Absolute Deviation (MAD)0.0094512
Skewness-0.20792151
Sum775.81211
Variance0.00021906196
MonotonicityNot monotonic
2023-12-13T01:31:15.253098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
129.283637 1
 
3.7%
129.3040025 1
 
3.7%
129.3090011 1
 
3.7%
129.285516 1
 
3.7%
129.3080232 1
 
3.7%
129.321927 1
 
3.7%
(Missing) 21
77.8%
ValueCountFrequency (%)
129.283637 1
3.7%
129.285516 1
3.7%
129.3040025 1
3.7%
129.3080232 1
3.7%
129.3090011 1
3.7%
129.321927 1
3.7%
ValueCountFrequency (%)
129.321927 1
3.7%
129.3090011 1
3.7%
129.3080232 1
3.7%
129.3040025 1
3.7%
129.285516 1
3.7%
129.283637 1
3.7%

데이터기준일자
Categorical

Distinct2
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Memory size348.0 B
<NA>
21 
2020-09-14
6 

Length

Max length10
Median length4
Mean length5.3333333
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2020-09-14
2nd row2020-09-14
3rd row2020-09-14
4th row2020-09-14
5th row2020-09-14

Common Values

ValueCountFrequency (%)
<NA> 21
77.8%
2020-09-14 6
 
22.2%

Length

2023-12-13T01:31:15.394856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:31:15.484819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 21
77.8%
2020-09-14 6
 
22.2%

Sample

개방시설명개방장소명개방시설유형구분휴관일평일운영시작시각평일운영종료시각주말운영시작시각주말운영종료시각유료사용여부사용기준시간사용료초과사용단위시간초과사용료수용가능인원수면적부대시설정보신청방법구분시설사진정보소재지도로명주소소재지지번주소관리기관명담당부서명사용안내전화번호홈페이지주소위도경도데이터기준일자
0유곡테니스장유곡테니스장공공체육시설신정,설,추석 연휴기간6:0022:009:0018:00Y310000350002009990하드코트 2면, 클레이코트 6면, 인조잔디 3면전화,현장https://www.ujcmc.or.kr/PageLink.do?link=gym/gym3울산광역시 중구 종가로 65울산광역시 유곡동 891-1울산중구도시관리공단시설관리팀070-8244-3679http://www.ujcmc.or.kr/35.564653129.2836372020-09-14
1성안생활체육공원성안테니스장공공체육시설신정,설,추석 연휴기간7:0021:009:0018:00Y31000035000509720족구장1면,인라인스케이트장1면,운동기구12점전화,현장https://www.ujcmc.or.kr/PageLink.do?link=gym/gym4울산광역시 중구 함월1길 145울산광역시 중구 성안동 900울산중구도시관리공단시설관리팀052-290-7663http://www.ujcmc.or.kr/35.576809129.3040022020-09-14
2중구테니스장중구테니스장공공체육시설신정,설,추석 연휴기간6:0022:009:0018:00Y320000320000102004코트 3면, 주차시설, 인조잔디 3면인터넷https://www.ujcmc.or.kr/PageLink.do?link=gym/gym5울산광역시 중구 종가로 305울산광역시 중구 우정동 526울산중구도시관리공단시설관리팀052-290-7664http://www.ujcmc.or.kr/35.56494129.3090012020-09-14
3십리대밭축구장십리대밭축구장공공체육시설신정,설,추석9:0018:009:0018:00Y24000012000050037606파고라6개,음수대1개인터넷https://www.ujcmc.or.kr/PageLink.do?link=gym/gym1울산광역시 중구 내오산로121울산광역시 중구 태화동 800울산중구도시관리공단시설관리팀052-290-7666http://www.ujcmc.or.kr/35.551701129.2855162020-09-14
4함월구민운동장함월구민운동장공공체육시설신정,설,추석9:0018:009:0018:00Y24000012000030047455농구장1면,훌라우프장1면,운동기구19점인터넷https://www.ujcmc.or.kr/PageLink.do?link=gym/gym2울산광역시 중구 성동1길 2울산광역시 중구 성안동 925-7울산중구도시관리공단시설관리팀052-290-7666http://www.ujcmc.or.kr/35.577967129.3080232020-09-14
5중구다목적구장중구다목적구장공공체육시설신정,설,추석9:0018:009:0018:00Y11750011750010012000운동장, 사무실, 화장실, 주차장,물탱크실인터넷https://www.ujcmc.or.kr/PageLink.do?link=gym/gym6울신광역시 중구 달빛로 65-23(약사동)울산광역시 중구 약사동 935울산중구도시관리공단시설관리팀052-290-7666http://www.ujcmc.or.kr/35.588382129.3219272020-09-14
6<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
7<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
9<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
개방시설명개방장소명개방시설유형구분휴관일평일운영시작시각평일운영종료시각주말운영시작시각주말운영종료시각유료사용여부사용기준시간사용료초과사용단위시간초과사용료수용가능인원수면적부대시설정보신청방법구분시설사진정보소재지도로명주소소재지지번주소관리기관명담당부서명사용안내전화번호홈페이지주소위도경도데이터기준일자
17<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
18<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
19<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
20<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
21<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
22<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
24<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
25<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
26<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>

Duplicate rows

Most frequently occurring

개방시설명개방장소명개방시설유형구분휴관일평일운영시작시각평일운영종료시각주말운영시작시각주말운영종료시각유료사용여부사용기준시간사용료초과사용단위시간초과사용료수용가능인원수면적부대시설정보신청방법구분시설사진정보소재지도로명주소소재지지번주소관리기관명담당부서명사용안내전화번호홈페이지주소위도경도데이터기준일자# duplicates
0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20