Overview

Dataset statistics

Number of variables25
Number of observations174
Missing cells1332
Missing cells (%)30.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory37.0 KiB
Average record size in memory217.8 B

Variable types

Categorical7
Text2
Numeric11
Unsupported5

Dataset

Description공공체육시설 현황(구기체육관)
Author경기도
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=D8G0DPXG0839AQ6URN714458998&infSeq=1

Alerts

집계년도 has constant value ""Constant
바닥재료명 is highly imbalanced (56.3%)Imbalance
좌석형태명 is highly imbalanced (53.7%)Imbalance
관리주체명 has 2 (1.1%) missing valuesMissing
건설사업비(백만원) has 54 (31.0%) missing valuesMissing
높이(m) has 39 (22.4%) missing valuesMissing
면적(㎡) has 31 (17.8%) missing valuesMissing
길이(m) has 30 (17.2%) missing valuesMissing
폭(m) has 30 (17.2%) missing valuesMissing
부지면적(㎡) has 10 (5.7%) missing valuesMissing
건축면적(㎡) has 25 (14.4%) missing valuesMissing
연면적(㎡) has 7 (4.0%) missing valuesMissing
수용인원수(명) has 118 (67.8%) missing valuesMissing
관람석좌석수 has 115 (66.1%) missing valuesMissing
소재지우편번호 has 174 (100.0%) missing valuesMissing
소재지지번주소 has 174 (100.0%) missing valuesMissing
소재지도로명주소 has 174 (100.0%) missing valuesMissing
WGS84위도 has 174 (100.0%) missing valuesMissing
WGS84경도 has 174 (100.0%) missing valuesMissing
소재지우편번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지지번주소 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지도로명주소 is an unsupported type, check if it needs cleaning or further analysisUnsupported
WGS84위도 is an unsupported type, check if it needs cleaning or further analysisUnsupported
WGS84경도 is an unsupported type, check if it needs cleaning or further analysisUnsupported
수용인원수(명) has 2 (1.1%) zerosZeros
관람석좌석수 has 3 (1.7%) zerosZeros

Reproduction

Analysis started2023-12-22 21:22:04.384212
Analysis finished2023-12-22 21:22:06.170657
Duration1.79 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

집계년도
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2021
174 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021
2nd row2021
3rd row2021
4th row2021
5th row2021

Common Values

ValueCountFrequency (%)
2021 174
100.0%

Length

2023-12-22T21:22:06.631933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-22T21:22:07.335230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021 174
100.0%

시군명
Categorical

Distinct31
Distinct (%)17.8%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
남양주시
21 
고양시
20 
양평군
19 
안산시
15 
연천군
10 
Other values (26)
89 

Length

Max length4
Median length3
Mean length3.1494253
Min length3

Unique

Unique7 ?
Unique (%)4.0%

Sample

1st row가평군
2nd row고양시
3rd row고양시
4th row고양시
5th row고양시

Common Values

ValueCountFrequency (%)
남양주시 21
12.1%
고양시 20
 
11.5%
양평군 19
 
10.9%
안산시 15
 
8.6%
연천군 10
 
5.7%
시흥시 10
 
5.7%
이천시 9
 
5.2%
파주시 7
 
4.0%
부천시 7
 
4.0%
용인시 6
 
3.4%
Other values (21) 50
28.7%

Length

2023-12-22T21:22:07.693527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
남양주시 21
12.1%
고양시 20
 
11.5%
양평군 19
 
10.9%
안산시 15
 
8.6%
연천군 10
 
5.7%
시흥시 10
 
5.7%
이천시 9
 
5.2%
파주시 7
 
4.0%
부천시 7
 
4.0%
용인시 6
 
3.4%
Other values (21) 50
28.7%

시설명
Text

Distinct172
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-12-22T21:22:08.698395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length23
Mean length10.028736
Min length5

Characters and Unicode

Total characters1745
Distinct characters211
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

Unique170 ?
Unique (%)97.7%

Sample

1st row가평 실내체육관
2nd row지도공원 배드민턴장
3rd row신원배드민턴장
4th row삼송배드민턴장
5th row탄현 배드민턴경기장
ValueCountFrequency (%)
배드민턴장 46
 
14.5%
탁구장 11
 
3.5%
실내체육관 10
 
3.1%
체육관 10
 
3.1%
배드민턴경기장 9
 
2.8%
다목적체육관 6
 
1.9%
배드민턴 3
 
0.9%
전용구장 3
 
0.9%
다목적 3
 
0.9%
체육시설 3
 
0.9%
Other values (200) 214
67.3%
2023-12-22T21:22:10.493557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
155
 
8.9%
장 119
 
6.8%
민 102
 
5.8%
배 94
 
5.4%
드 92
 
5.3%
턴 92
 
5.3%
체 85
 
4.9%
육 85
 
4.9%
관 69
 
4.0%
구 31
 
1.8%
Other values (201) 821
47.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1553
89.0%
Space Separator 155
 
8.9%
Close Punctuation 10
 
0.6%
Open Punctuation 10
 
0.6%
Decimal Number 10
 
0.6%
Other Punctuation 4
 
0.2%
Uppercase Letter 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 119
 
7.7%
민 102
 
6.6%
배 94
 
6.1%
드 92
 
5.9%
턴 92
 
5.9%
체 85
 
5.5%
육 85
 
5.5%
관 69
 
4.4%
구 31
 
2.0%
내 31
 
2.0%
Other values (188) 753
48.5%
Decimal Number
ValueCountFrequency (%)
1 3
30.0%
2 2
20.0%
0 2
20.0%
3 1
 
10.0%
6 1
 
10.0%
4 1
 
10.0%
Other Punctuation
ValueCountFrequency (%)
. 3
75.0%
, 1
 
25.0%
Uppercase Letter
ValueCountFrequency (%)
B 2
66.7%
C 1
33.3%
Space Separator
ValueCountFrequency (%)
155
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1553
89.0%
Common 189
 
10.8%
Latin 3
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 119
 
7.7%
민 102
 
6.6%
배 94
 
6.1%
드 92
 
5.9%
턴 92
 
5.9%
체 85
 
5.5%
육 85
 
5.5%
관 69
 
4.4%
구 31
 
2.0%
내 31
 
2.0%
Other values (188) 753
48.5%
Common
ValueCountFrequency (%)
155
82.0%
) 10
 
5.3%
( 10
 
5.3%
1 3
 
1.6%
. 3
 
1.6%
2 2
 
1.1%
0 2
 
1.1%
, 1
 
0.5%
3 1
 
0.5%
6 1
 
0.5%
Latin
ValueCountFrequency (%)
B 2
66.7%
C 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1553
89.0%
ASCII 192
 
11.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
155
80.7%
) 10
 
5.2%
( 10
 
5.2%
1 3
 
1.6%
. 3
 
1.6%
2 2
 
1.0%
0 2
 
1.0%
B 2
 
1.0%
, 1
 
0.5%
3 1
 
0.5%
Other values (3) 3
 
1.6%
Hangul
ValueCountFrequency (%)
장 119
 
7.7%
민 102
 
6.6%
배 94
 
6.1%
드 92
 
5.9%
턴 92
 
5.9%
체 85
 
5.5%
육 85
 
5.5%
관 69
 
4.4%
구 31
 
2.0%
내 31
 
2.0%
Other values (188) 753
48.5%

건축구조명
Categorical

Distinct27
Distinct (%)15.5%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
철골조
47 
철근콘크리트
34 
철골구조
16 
<NA>
12 
일반철골구조
12 
Other values (22)
53 

Length

Max length11
Median length10
Mean length5.1609195
Min length2

Unique

Unique9 ?
Unique (%)5.2%

Sample

1st row철근콘크리트
2nd row철골조
3rd row철골조
4th row철골조
5th row철골조

Common Values

ValueCountFrequency (%)
철골조 47
27.0%
철근콘크리트 34
19.5%
철골구조 16
 
9.2%
<NA> 12
 
6.9%
일반철골구조 12
 
6.9%
철골철근콘크리트 10
 
5.7%
철골 4
 
2.3%
철골콘크리트구조 4
 
2.3%
경량철골조 4
 
2.3%
철골 및 철근콘크리트 4
 
2.3%
Other values (17) 27
15.5%

Length

2023-12-22T21:22:11.185144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
철골조 52
27.4%
철근콘크리트 40
21.1%
철골구조 16
 
8.4%
na 12
 
6.3%
일반철골구조 12
 
6.3%
철골철근콘크리트 10
 
5.3%
철골 9
 
4.7%
철골콘크리트구조 4
 
2.1%
경량철골조 4
 
2.1%
및 4
 
2.1%
Other values (17) 27
14.2%

관리주체명
Text

MISSING 

Distinct67
Distinct (%)39.0%
Missing2
Missing (%)1.1%
Memory size1.5 KiB
2023-12-22T21:22:12.267625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length13
Mean length7.0523256
Min length3

Characters and Unicode

Total characters1213
Distinct characters101
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 (%)18.6%

Sample

1st row시설관리공단
2nd row위탁(시 배드민턴연합회)
3rd row위탁(시 배드민턴연합회)
4th row위탁(시 배드민턴연합회)
5th row위탁(시 배드민턴연합회)
ValueCountFrequency (%)
남양주시 17
 
8.9%
배드민턴연합회 16
 
8.4%
위탁(시 16
 
8.4%
위탁(안산도시공사 15
 
7.9%
시설관리공단 6
 
3.1%
부천도시공사 6
 
3.1%
이천시 6
 
3.1%
용인시체육회 5
 
2.6%
양주도시공사 4
 
2.1%
시흥도시공사 4
 
2.1%
Other values (60) 96
50.3%
2023-12-22T21:22:14.268852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
시 143
 
11.8%
공 67
 
5.5%
사 60
 
4.9%
도 60
 
4.9%
( 55
 
4.5%
) 54
 
4.5%
탁 50
 
4.1%
위 49
 
4.0%
주 37
 
3.1%
회 35
 
2.9%
Other values (91) 603
49.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1084
89.4%
Open Punctuation 55
 
4.5%
Close Punctuation 54
 
4.5%
Space Separator 19
 
1.6%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 143
 
13.2%
공 67
 
6.2%
사 60
 
5.5%
도 60
 
5.5%
탁 50
 
4.6%
위 49
 
4.5%
주 37
 
3.4%
회 35
 
3.2%
양 33
 
3.0%
남 29
 
2.7%
Other values (87) 521
48.1%
Open Punctuation
ValueCountFrequency (%)
( 55
100.0%
Close Punctuation
ValueCountFrequency (%)
) 54
100.0%
Space Separator
ValueCountFrequency (%)
19
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1084
89.4%
Common 129
 
10.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 143
 
13.2%
공 67
 
6.2%
사 60
 
5.5%
도 60
 
5.5%
탁 50
 
4.6%
위 49
 
4.5%
주 37
 
3.4%
회 35
 
3.2%
양 33
 
3.0%
남 29
 
2.7%
Other values (87) 521
48.1%
Common
ValueCountFrequency (%)
( 55
42.6%
) 54
41.9%
19
 
14.7%
, 1
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1084
89.4%
ASCII 129
 
10.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
시 143
 
13.2%
공 67
 
6.2%
사 60
 
5.5%
도 60
 
5.5%
탁 50
 
4.6%
위 49
 
4.5%
주 37
 
3.4%
회 35
 
3.2%
양 33
 
3.0%
남 29
 
2.7%
Other values (87) 521
48.1%
ASCII
ValueCountFrequency (%)
( 55
42.6%
) 54
41.9%
19
 
14.7%
, 1
 
0.8%

준공연도
Real number (ℝ)

Distinct31
Distinct (%)17.9%
Missing1
Missing (%)0.6%
Infinite0
Infinite (%)0.0%
Mean2009.5954
Minimum1983
Maximum2021
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-22T21:22:14.838798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1983
5-th percentile1993
Q12006
median2011
Q32015
95-th percentile2020.4
Maximum2021
Range38
Interquartile range (IQR)9

Descriptive statistics

Standard deviation7.8450385
Coefficient of variation (CV)0.0039037901
Kurtosis0.82406732
Mean2009.5954
Median Absolute Deviation (MAD)5
Skewness-0.90828888
Sum347660
Variance61.54463
MonotonicityNot monotonic
2023-12-22T21:22:15.258689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
2007 14
 
8.0%
2015 13
 
7.5%
2014 10
 
5.7%
2010 9
 
5.2%
2011 9
 
5.2%
2006 9
 
5.2%
2021 9
 
5.2%
2016 9
 
5.2%
2013 8
 
4.6%
2018 8
 
4.6%
Other values (21) 75
43.1%
ValueCountFrequency (%)
1983 1
 
0.6%
1984 1
 
0.6%
1989 2
1.1%
1992 3
1.7%
1993 4
2.3%
1995 1
 
0.6%
1996 2
1.1%
1997 1
 
0.6%
1998 1
 
0.6%
2000 3
1.7%
ValueCountFrequency (%)
2021 9
5.2%
2020 5
 
2.9%
2019 3
 
1.7%
2018 8
4.6%
2017 7
4.0%
2016 9
5.2%
2015 13
7.5%
2014 10
5.7%
2013 8
4.6%
2012 6
3.4%

소유기관명
Categorical

Distinct33
Distinct (%)19.0%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
남양주시
21 
고양시
20 
양평군
19 
안산시
15 
시흥시
10 
Other values (28)
89 

Length

Max length8
Median length3
Mean length3.2586207
Min length3

Unique

Unique8 ?
Unique (%)4.6%

Sample

1st row가평군
2nd row고양시
3rd row고양시
4th row고양시
5th row고양시

Common Values

ValueCountFrequency (%)
남양주시 21
 
12.1%
고양시 20
 
11.5%
양평군 19
 
10.9%
안산시 15
 
8.6%
시흥시 10
 
5.7%
연천군 9
 
5.2%
파주시 7
 
4.0%
부천시 7
 
4.0%
이천시 6
 
3.4%
용인시 6
 
3.4%
Other values (23) 54
31.0%

Length

2023-12-22T21:22:16.033285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
남양주시 21
 
12.1%
고양시 20
 
11.5%
양평군 19
 
10.9%
안산시 15
 
8.6%
시흥시 10
 
5.7%
연천군 9
 
5.2%
파주시 7
 
4.0%
부천시 7
 
4.0%
용인시 6
 
3.4%
이천시 6
 
3.4%
Other values (23) 54
31.0%

가능종목명
Categorical

Distinct47
Distinct (%)27.0%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
배드민턴
81 
<NA>
10 
탁구장
9 
탁구
 
8
농구,배구,배드민턴,탁구
 
5
Other values (42)
61 

Length

Max length20
Median length4
Mean length6.6781609
Min length2

Unique

Unique29 ?
Unique (%)16.7%

Sample

1st row농구,배구,배드민턴,탁구
2nd row배드민턴
3rd row배드민턴
4th row배드민턴
5th row배드민턴

Common Values

ValueCountFrequency (%)
배드민턴 81
46.6%
<NA> 10
 
5.7%
탁구장 9
 
5.2%
탁구 8
 
4.6%
농구,배구,배드민턴,탁구 5
 
2.9%
농구,배구,배드민턴 4
 
2.3%
배드민턴,배구 4
 
2.3%
배드민턴, 탁구 3
 
1.7%
배구,배드민턴,농구,다목적실 3
 
1.7%
배구,농구,핸드볼,태권도,기타 2
 
1.1%
Other values (37) 45
25.9%

Length

2023-12-22T21:22:17.081625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
배드민턴 94
45.0%
탁구 16
 
7.7%
na 10
 
4.8%
탁구장 9
 
4.3%
농구 7
 
3.3%
등 6
 
2.9%
농구,배구,배드민턴 6
 
2.9%
농구,배구,배드민턴,탁구 5
 
2.4%
배드민턴,배구 4
 
1.9%
게이트볼 3
 
1.4%
Other values (38) 49
23.4%

바닥재료명
Categorical

IMBALANCE 

Distinct10
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
목재
127 
목재(마루)
25 
우레탄
 
6
<NA>
 
5
인조잔디
 
3
Other values (5)
 
8

Length

Max length7
Median length2
Mean length2.7816092
Min length2

Unique

Unique3 ?
Unique (%)1.7%

Sample

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

Common Values

ValueCountFrequency (%)
목재 127
73.0%
목재(마루) 25
 
14.4%
우레탄 6
 
3.4%
<NA> 5
 
2.9%
인조잔디 3
 
1.7%
고무매트 3
 
1.7%
토사 2
 
1.1%
타포린 1
 
0.6%
단풍나무후로링 1
 
0.6%
합성목재 1
 
0.6%

Length

2023-12-22T21:22:17.793237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-22T21:22:18.849559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
목재 127
73.0%
목재(마루 25
 
14.4%
우레탄 6
 
3.4%
na 5
 
2.9%
인조잔디 3
 
1.7%
고무매트 3
 
1.7%
토사 2
 
1.1%
타포린 1
 
0.6%
단풍나무후로링 1
 
0.6%
합성목재 1
 
0.6%

건설사업비(백만원)
Real number (ℝ)

MISSING 

Distinct90
Distinct (%)75.0%
Missing54
Missing (%)31.0%
Infinite0
Infinite (%)0.0%
Mean4979.4417
Minimum18
Maximum79170
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-22T21:22:19.811362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum18
5-th percentile270.25
Q1907.5
median1511
Q34495.25
95-th percentile16709.35
Maximum79170
Range79152
Interquartile range (IQR)3587.75

Descriptive statistics

Standard deviation11292.587
Coefficient of variation (CV)2.2678419
Kurtosis30.730065
Mean4979.4417
Median Absolute Deviation (MAD)1007.5
Skewness5.2295348
Sum597533
Variance1.2752251 × 108
MonotonicityNot monotonic
2023-12-22T21:22:20.596663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1000 10
 
5.7%
500 5
 
2.9%
1100 4
 
2.3%
1874 3
 
1.7%
3200 3
 
1.7%
8000 3
 
1.7%
900 3
 
1.7%
735 2
 
1.1%
1300 2
 
1.1%
1500 2
 
1.1%
Other values (80) 83
47.7%
(Missing) 54
31.0%
ValueCountFrequency (%)
18 1
 
0.6%
150 1
 
0.6%
172 2
 
1.1%
173 1
 
0.6%
180 1
 
0.6%
275 1
 
0.6%
300 1
 
0.6%
338 1
 
0.6%
350 2
 
1.1%
500 5
2.9%
ValueCountFrequency (%)
79170 1
0.6%
78516 1
0.6%
43956 1
0.6%
24800 1
0.6%
22600 1
0.6%
19433 1
0.6%
16566 1
0.6%
14809 1
0.6%
14005 1
0.6%
13764 1
0.6%

높이(m)
Real number (ℝ)

MISSING 

Distinct39
Distinct (%)28.9%
Missing39
Missing (%)22.4%
Infinite0
Infinite (%)0.0%
Mean12.264222
Minimum4
Maximum29
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-22T21:22:21.455254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile7.105
Q110
median12
Q314
95-th percentile18.045
Maximum29
Range25
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.8860409
Coefficient of variation (CV)0.31685996
Kurtosis5.0491893
Mean12.264222
Median Absolute Deviation (MAD)2
Skewness1.5053163
Sum1655.67
Variance15.101314
MonotonicityNot monotonic
2023-12-22T21:22:22.238234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
11.0 15
 
8.6%
10.0 15
 
8.6%
12.0 14
 
8.0%
13.0 13
 
7.5%
9.0 12
 
6.9%
14.0 9
 
5.2%
15.0 7
 
4.0%
16.0 6
 
3.4%
9.5 4
 
2.3%
8.0 4
 
2.3%
Other values (29) 36
20.7%
(Missing) 39
22.4%
ValueCountFrequency (%)
4.0 1
 
0.6%
5.0 3
 
1.7%
5.6 1
 
0.6%
6.4 1
 
0.6%
7.0 1
 
0.6%
7.15 1
 
0.6%
8.0 4
 
2.3%
8.8 1
 
0.6%
9.0 12
6.9%
9.5 4
 
2.3%
ValueCountFrequency (%)
29.0 1
0.6%
28.0 1
0.6%
27.75 1
0.6%
21.6 1
0.6%
20.15 1
0.6%
18.2 1
0.6%
18.15 1
0.6%
18.0 1
0.6%
17.0 2
1.1%
16.8 1
0.6%

면적(㎡)
Real number (ℝ)

MISSING 

Distinct123
Distinct (%)86.0%
Missing31
Missing (%)17.8%
Infinite0
Infinite (%)0.0%
Mean902.47348
Minimum82
Maximum4138
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-22T21:22:23.077731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum82
5-th percentile354.032
Q1516.41
median746.55
Q31065
95-th percentile2170.2
Maximum4138
Range4056
Interquartile range (IQR)548.59

Descriptive statistics

Standard deviation567.75674
Coefficient of variation (CV)0.62911183
Kurtosis7.3549793
Mean902.47348
Median Absolute Deviation (MAD)271.55
Skewness2.1648092
Sum129053.71
Variance322347.71
MonotonicityNot monotonic
2023-12-22T21:22:23.902334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
660.0 3
 
1.7%
300.0 3
 
1.7%
720.0 3
 
1.7%
1500.0 2
 
1.1%
704.0 2
 
1.1%
351.48 2
 
1.1%
638.0 2
 
1.1%
768.0 2
 
1.1%
475.0 2
 
1.1%
779.0 2
 
1.1%
Other values (113) 120
69.0%
(Missing) 31
 
17.8%
ValueCountFrequency (%)
82.0 1
 
0.6%
187.2 1
 
0.6%
285.0 1
 
0.6%
300.0 3
1.7%
351.48 2
1.1%
377.0 2
1.1%
385.82 1
 
0.6%
400.0 1
 
0.6%
408.0 1
 
0.6%
420.0 1
 
0.6%
ValueCountFrequency (%)
4138.0 1
0.6%
2550.0 1
0.6%
2391.0 1
0.6%
2300.0 1
0.6%
2298.0 1
0.6%
2268.0 1
0.6%
2196.0 1
0.6%
2184.0 1
0.6%
2046.0 1
0.6%
1895.0 1
0.6%

길이(m)
Real number (ℝ)

MISSING 

Distinct71
Distinct (%)49.3%
Missing30
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean36.809028
Minimum7
Maximum130
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-22T21:22:24.515774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile19
Q126
median33
Q342.25
95-th percentile67.7
Maximum130
Range123
Interquartile range (IQR)16.25

Descriptive statistics

Standard deviation16.477673
Coefficient of variation (CV)0.44765305
Kurtosis7.1276903
Mean36.809028
Median Absolute Deviation (MAD)8
Skewness2.0121772
Sum5300.5
Variance271.51372
MonotonicityNot monotonic
2023-12-22T21:22:25.205432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
33.0 11
 
6.3%
25.0 8
 
4.6%
30.0 7
 
4.0%
38.0 6
 
3.4%
42.0 5
 
2.9%
32.0 5
 
2.9%
45.0 4
 
2.3%
27.0 4
 
2.3%
20.0 3
 
1.7%
34.0 3
 
1.7%
Other values (61) 88
50.6%
(Missing) 30
 
17.2%
ValueCountFrequency (%)
7.0 1
 
0.6%
13.0 1
 
0.6%
16.0 2
1.1%
16.8 1
 
0.6%
16.9 2
1.1%
19.0 2
1.1%
20.0 3
1.7%
20.2 2
1.1%
20.8 1
 
0.6%
21.0 2
1.1%
ValueCountFrequency (%)
130.0 1
0.6%
85.0 1
0.6%
84.0 1
0.6%
78.0 1
0.6%
77.0 2
1.1%
70.0 1
0.6%
68.0 1
0.6%
66.0 1
0.6%
65.0 1
0.6%
64.0 1
0.6%

폭(m)
Real number (ℝ)

MISSING 

Distinct47
Distinct (%)32.6%
Missing30
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean23.909375
Minimum6
Maximum93
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-22T21:22:25.873462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile15.15
Q118
median20.575
Q326.25
95-th percentile41.7
Maximum93
Range87
Interquartile range (IQR)8.25

Descriptive statistics

Standard deviation10.192627
Coefficient of variation (CV)0.42630254
Kurtosis15.702471
Mean23.909375
Median Absolute Deviation (MAD)3.425
Skewness3.1648734
Sum3442.95
Variance103.88965
MonotonicityNot monotonic
2023-12-22T21:22:26.475178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
18.0 14
 
8.0%
20.0 13
 
7.5%
19.0 11
 
6.3%
24.0 10
 
5.7%
17.0 7
 
4.0%
17.4 6
 
3.4%
23.0 6
 
3.4%
15.0 6
 
3.4%
22.0 6
 
3.4%
25.0 5
 
2.9%
Other values (37) 60
34.5%
(Missing) 30
17.2%
ValueCountFrequency (%)
6.0 1
 
0.6%
9.0 1
 
0.6%
15.0 6
3.4%
16.0 3
1.7%
16.5 1
 
0.6%
16.8 1
 
0.6%
17.0 7
4.0%
17.4 6
3.4%
17.5 1
 
0.6%
17.8 1
 
0.6%
ValueCountFrequency (%)
93.0 1
0.6%
59.0 1
0.6%
56.0 1
0.6%
54.0 1
0.6%
51.0 1
0.6%
48.0 1
0.6%
42.0 2
1.1%
40.0 1
0.6%
37.8 2
1.1%
37.0 1
0.6%

부지면적(㎡)
Real number (ℝ)

MISSING 

Distinct149
Distinct (%)90.9%
Missing10
Missing (%)5.7%
Infinite0
Infinite (%)0.0%
Mean27196.89
Minimum20.844
Maximum414425.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-22T21:22:27.064049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20.844
5-th percentile600.9
Q11215.25
median5580.5
Q324301.25
95-th percentile122174.22
Maximum414425.6
Range414404.76
Interquartile range (IQR)23086

Descriptive statistics

Standard deviation58390.312
Coefficient of variation (CV)2.1469481
Kurtosis20.31434
Mean27196.89
Median Absolute Deviation (MAD)4760.5
Skewness4.1265671
Sum4460290
Variance3.4094285 × 109
MonotonicityNot monotonic
2023-12-22T21:22:27.834437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4086.0 3
 
1.7%
4508.0 3
 
1.7%
99290.0 3
 
1.7%
660.0 2
 
1.1%
951.0 2
 
1.1%
4136.0 2
 
1.1%
26998.0 2
 
1.1%
23820.0 2
 
1.1%
1100.0 2
 
1.1%
793.0 2
 
1.1%
Other values (139) 141
81.0%
(Missing) 10
 
5.7%
ValueCountFrequency (%)
20.844 1
0.6%
36.306 1
0.6%
340.0 1
0.6%
410.0 1
0.6%
425.0 1
0.6%
453.81 1
0.6%
500.0 1
0.6%
561.0 1
0.6%
600.0 1
0.6%
606.0 1
0.6%
ValueCountFrequency (%)
414425.6 1
0.6%
355800.0 1
0.6%
305350.0 1
0.6%
203778.0 1
0.6%
176471.3 1
0.6%
157982.0 1
0.6%
149736.0 1
0.6%
145117.0 1
0.6%
122221.2 1
0.6%
121908.0 1
0.6%

건축면적(㎡)
Real number (ℝ)

MISSING 

Distinct144
Distinct (%)96.6%
Missing25
Missing (%)14.4%
Infinite0
Infinite (%)0.0%
Mean1837.496
Minimum187.2
Maximum49958
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-22T21:22:28.437655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum187.2
5-th percentile410.392
Q1655
median951
Q31879
95-th percentile5028
Maximum49958
Range49770.8
Interquartile range (IQR)1224

Descriptive statistics

Standard deviation4291.0088
Coefficient of variation (CV)2.335248
Kurtosis108.73974
Mean1837.496
Median Absolute Deviation (MAD)401
Skewness9.8485171
Sum273786.9
Variance18412757
MonotonicityNot monotonic
2023-12-22T21:22:29.261204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
951.0 2
 
1.1%
639.0 2
 
1.1%
720.0 2
 
1.1%
660.0 2
 
1.1%
793.0 2
 
1.1%
783.16 1
 
0.6%
760.57 1
 
0.6%
963.0 1
 
0.6%
968.2 1
 
0.6%
489.22 1
 
0.6%
Other values (134) 134
77.0%
(Missing) 25
 
14.4%
ValueCountFrequency (%)
187.2 1
0.6%
300.0 1
0.6%
320.0 1
0.6%
340.0 1
0.6%
342.6 1
0.6%
345.78 1
0.6%
353.61 1
0.6%
401.32 1
0.6%
424.0 1
0.6%
425.39 1
0.6%
ValueCountFrequency (%)
49958.0 1
0.6%
14160.0 1
0.6%
6387.0 1
0.6%
6209.0 1
0.6%
5945.0 1
0.6%
5372.0 1
0.6%
5301.59 1
0.6%
5034.0 1
0.6%
5019.0 1
0.6%
4679.86 1
0.6%

연면적(㎡)
Real number (ℝ)

MISSING 

Distinct157
Distinct (%)94.0%
Missing7
Missing (%)4.0%
Infinite0
Infinite (%)0.0%
Mean2559.8314
Minimum187.2
Maximum45451
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-22T21:22:30.250822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum187.2
5-th percentile423.482
Q1669.68
median970
Q32182.5
95-th percentile9936.095
Maximum45451
Range45263.8
Interquartile range (IQR)1512.82

Descriptive statistics

Standard deviation5103.5508
Coefficient of variation (CV)1.9937058
Kurtosis38.037874
Mean2559.8314
Median Absolute Deviation (MAD)428
Skewness5.5437023
Sum427491.85
Variance26046231
MonotonicityNot monotonic
2023-12-22T21:22:30.976945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1430.0 3
 
1.7%
720.0 3
 
1.7%
901.0 2
 
1.1%
660.0 2
 
1.1%
639.0 2
 
1.1%
620.0 2
 
1.1%
951.0 2
 
1.1%
700.0 2
 
1.1%
2106.0 1
 
0.6%
1081.66 1
 
0.6%
Other values (147) 147
84.5%
(Missing) 7
 
4.0%
ValueCountFrequency (%)
187.2 1
0.6%
300.0 1
0.6%
320.0 1
0.6%
346.0 1
0.6%
351.48 1
0.6%
386.0 1
0.6%
399.19 1
0.6%
420.52 1
0.6%
423.26 1
0.6%
424.0 1
0.6%
ValueCountFrequency (%)
45451.0 1
0.6%
33471.92 1
0.6%
18364.0 1
0.6%
16426.26 1
0.6%
15497.0 1
0.6%
13889.0 1
0.6%
11243.0 1
0.6%
10973.0 1
0.6%
9974.0 1
0.6%
9847.65 1
0.6%

좌석형태명
Categorical

IMBALANCE 

Distinct16
Distinct (%)9.2%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
<NA>
113 
의자식
31 
계단식
 
10
좌석고정식
 
3
벤치
 
3
Other values (11)
14 

Length

Max length10
Median length4
Mean length3.7011494
Min length1

Unique

Unique8 ?
Unique (%)4.6%

Sample

1st row고정식+ 수납식
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 113
64.9%
의자식 31
 
17.8%
계단식 10
 
5.7%
좌석고정식 3
 
1.7%
벤치 3
 
1.7%
- 2
 
1.1%
수납식 2
 
1.1%
0 2
 
1.1%
고정식+ 수납식 1
 
0.6%
고정식 1
 
0.6%
Other values (6) 6
 
3.4%

Length

2023-12-22T21:22:31.610864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 113
64.6%
의자식 31
 
17.7%
계단식 10
 
5.7%
좌석고정식 3
 
1.7%
벤치 3
 
1.7%
수납식 3
 
1.7%
2
 
1.1%
0 2
 
1.1%
고정식 2
 
1.1%
의자 1
 
0.6%
Other values (5) 5
 
2.9%

수용인원수(명)
Real number (ℝ)

MISSING  ZEROS 

Distinct36
Distinct (%)64.3%
Missing118
Missing (%)67.8%
Infinite0
Infinite (%)0.0%
Mean1548.5893
Minimum0
Maximum9000
Zeros2
Zeros (%)1.1%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-22T21:22:32.418561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile43.75
Q1232
median534
Q32000
95-th percentile7156.5
Maximum9000
Range9000
Interquartile range (IQR)1768

Descriptive statistics

Standard deviation2244.1438
Coefficient of variation (CV)1.4491537
Kurtosis3.6493439
Mean1548.5893
Median Absolute Deviation (MAD)466
Skewness2.1018428
Sum86721
Variance5036181.5
MonotonicityNot monotonic
2023-12-22T21:22:33.246352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
2000 5
 
2.9%
200 5
 
2.9%
500 4
 
2.3%
300 4
 
2.3%
1000 4
 
2.3%
0 2
 
1.1%
100 2
 
1.1%
1500 2
 
1.1%
1016 1
 
0.6%
220 1
 
0.6%
Other values (26) 26
 
14.9%
(Missing) 118
67.8%
ValueCountFrequency (%)
0 2
 
1.1%
40 1
 
0.6%
45 1
 
0.6%
50 1
 
0.6%
100 2
 
1.1%
118 1
 
0.6%
200 5
2.9%
220 1
 
0.6%
236 1
 
0.6%
252 1
 
0.6%
ValueCountFrequency (%)
9000 1
0.6%
8526 1
0.6%
7626 1
0.6%
7000 1
0.6%
6042 1
0.6%
5152 1
0.6%
5000 1
0.6%
3500 1
0.6%
3000 1
0.6%
2002 1
0.6%

관람석좌석수
Real number (ℝ)

MISSING  ZEROS 

Distinct45
Distinct (%)76.3%
Missing115
Missing (%)66.1%
Infinite0
Infinite (%)0.0%
Mean1083.9661
Minimum0
Maximum6690
Zeros3
Zeros (%)1.7%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-22T21:22:34.169271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile18
Q1160
median330
Q31094.5
95-th percentile5177.1
Maximum6690
Range6690
Interquartile range (IQR)934.5

Descriptive statistics

Standard deviation1643.184
Coefficient of variation (CV)1.5158998
Kurtosis3.6360796
Mean1083.9661
Median Absolute Deviation (MAD)290
Skewness2.1437586
Sum63954
Variance2700053.7
MonotonicityNot monotonic
2023-12-22T21:22:34.910068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
200 6
 
3.4%
300 3
 
1.7%
0 3
 
1.7%
20 2
 
1.1%
100 2
 
1.1%
40 2
 
1.1%
220 2
 
1.1%
620 2
 
1.1%
118 1
 
0.6%
1240 1
 
0.6%
Other values (35) 35
 
20.1%
(Missing) 115
66.1%
ValueCountFrequency (%)
0 3
1.7%
20 2
1.1%
40 2
1.1%
45 1
 
0.6%
50 1
 
0.6%
80 1
 
0.6%
100 2
1.1%
114 1
 
0.6%
118 1
 
0.6%
120 1
 
0.6%
ValueCountFrequency (%)
6690 1
0.6%
5770 1
0.6%
5403 1
0.6%
5152 1
0.6%
5145 1
0.6%
4407 1
0.6%
4057 1
0.6%
2300 1
0.6%
1887 1
0.6%
1602 1
0.6%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing174
Missing (%)100.0%
Memory size1.7 KiB

소재지지번주소
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing174
Missing (%)100.0%
Memory size1.7 KiB

소재지도로명주소
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing174
Missing (%)100.0%
Memory size1.7 KiB

WGS84위도
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing174
Missing (%)100.0%
Memory size1.7 KiB

WGS84경도
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing174
Missing (%)100.0%
Memory size1.7 KiB

Sample

집계년도시군명시설명건축구조명관리주체명준공연도소유기관명가능종목명바닥재료명건설사업비(백만원)높이(m)면적(㎡)길이(m)폭(m)부지면적(㎡)건축면적(㎡)연면적(㎡)좌석형태명수용인원수(명)관람석좌석수소재지우편번호소재지지번주소소재지도로명주소WGS84위도WGS84경도
02021가평군가평 실내체육관철근콘크리트시설관리공단2003가평군농구,배구,배드민턴,탁구목재843712.9842.234.124.09976.01981.03214.0고정식+ 수납식1000939<NA><NA><NA><NA><NA>
12021고양시지도공원 배드민턴장철골조<NA>2016고양시배드민턴목재<NA>9.0665.035.019.0755.0755.0755.0<NA><NA><NA><NA><NA><NA><NA><NA>
22021고양시신원배드민턴장철골조위탁(시 배드민턴연합회)2015고양시배드민턴목재73511.0660.033.020.0793.0793.0901.0<NA><NA><NA><NA><NA><NA><NA><NA>
32021고양시삼송배드민턴장철골조위탁(시 배드민턴연합회)2015고양시배드민턴목재73511.0660.033.020.0793.0793.0901.0<NA><NA><NA><NA><NA><NA><NA><NA>
42021고양시탄현 배드민턴경기장철골조위탁(시 배드민턴연합회)2010고양시배드민턴목재<NA>12.0513.027.019.01022.01022.0970.0<NA><NA><NA><NA><NA><NA><NA><NA>
52021고양시덕이 배드민턴경기장철골조위탁(시 배드민턴연합회)2012고양시배드민턴목재<NA>12.0594.033.018.0842.0842.0808.0<NA><NA><NA><NA><NA><NA><NA><NA>
62021고양시식사 배드민턴경기장철골조위탁(시 배드민턴연합회)2012고양시배드민턴목재<NA>9.0746.033.024.0746.0746.0746.0<NA><NA><NA><NA><NA><NA><NA><NA>
72021고양시행신배드민턴장철골조위탁(시 배드민턴연합회)2008고양시배드민턴목재<NA>9.0881.033.018.0881.0881.0881.0<NA><NA><NA><NA><NA><NA><NA><NA>
82021고양시중산배드민턴장철골조위탁(시 배드민턴연합회)2011고양시배드민턴목재165012.8880.044.020.082113.71065.91387.5<NA><NA><NA><NA><NA><NA><NA><NA>
92021고양시정발산 배드민턴경기장철골조위탁(시 배드민턴연합회)2008고양시배드민턴목재90016.0792.033.024.0820.0920.0904.0<NA><NA><NA><NA><NA><NA><NA><NA>
집계년도시군명시설명건축구조명관리주체명준공연도소유기관명가능종목명바닥재료명건설사업비(백만원)높이(m)면적(㎡)길이(m)폭(m)부지면적(㎡)건축면적(㎡)연면적(㎡)좌석형태명수용인원수(명)관람석좌석수소재지우편번호소재지지번주소소재지도로명주소WGS84위도WGS84경도
1642021파주시파주시 배드민턴 전용구장철골콘크리트구조위탁(파주시배드민턴연합회)2014파주시배드민턴목재472012.02046.066.031.036.3062536.02710.0계단식<NA>500<NA><NA><NA><NA><NA>
1652021파주시문산국민체육센터철골콘크리트구조파주시2015파주시배드민턴,농구,배구,탁구목재585017.0962.037.026.023820.01968.02213.0<NA><NA>297<NA><NA><NA><NA><NA>
1662021파주시운정실내배드민턴장철골콘크리트구조위탁(파주시배드민턴협회)2017파주시배드민턴목재198013.0578.034.017.059406.0773.01401.0<NA><NA><NA><NA><NA><NA><NA><NA>
1672021평택시이충실내배드민턴장일반철골구조평택시(체육진흥과)2021평택시배드민턴,역도,씨름,레슬링목재880018.151731.077.025.0149736.01792.03951.0좌석고정식118118<NA><NA><NA><NA><NA>
1682021평택시안중체육관철근콘크리트,철골조평택시(안출 지역경제과)2021평택시배드민턴,배구,농구 등목재2480016.8847.033.625.220113.03107.04391.0좌석고정식16021602<NA><NA><NA><NA><NA>
1692021포천시포천 종합체육관철근콘크리트포천도시공사1992포천시배드민턴,농구,배구,탁구,태권도목재174815.01170.046.825.05160.01925.03060.0의자식15001240<NA><NA><NA><NA><NA>
1702021하남시덕풍동 실내배드민턴장일반철골조하남시2011하남시배드민턴목재1811.0599.7635.716.82681.0599.76599.76000<NA><NA><NA><NA><NA>
1712021하남시덕풍동 탁구장철근콘크리트하남시2006하남시탁구장목재<NA>9.0435.029.015.01000.0572.0710.0000<NA><NA><NA><NA><NA>
1722021화성시매송안보테마공원실내체육관<NA>화성도시공사2014화성시<NA><NA><NA><NA><NA><NA><NA>1000.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1732021화성시화성종합경기타운실내체육관철근콘크리트화성도시공사2011화성시농구,배구,배드민턴 등목재<NA>16.3884.839.522.416426.0<NA>16426.26고정식수납식51525152<NA><NA><NA><NA><NA>