Overview

Dataset statistics

Number of variables9
Number of observations147
Missing cells176
Missing cells (%)13.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory11.0 KiB
Average record size in memory76.9 B

Variable types

Numeric4
Categorical4
Text1

Dataset

Description광주광역시의 공공체육시설 정보 데이터로 시설구분, 시군구, 시설명, 소유기관, 관리주체, 부지면적, 건축면적, 연면적을 제공하는 데이터입니다.
Author광주광역시
URLhttps://www.data.go.kr/data/15051395/fileData.do

Alerts

연번 is highly overall correlated with 시설구분High correlation
부지면적(제곱미터) is highly overall correlated with 건축면적(제곱미터) and 2 other fieldsHigh correlation
건축면적(제곱미터) is highly overall correlated with 부지면적(제곱미터) and 1 other fieldsHigh correlation
연면적(제곱미터) is highly overall correlated with 부지면적(제곱미터) and 1 other fieldsHigh correlation
시설구분 is highly overall correlated with 연번 and 1 other fieldsHigh correlation
시군구 is highly overall correlated with 소유기관 and 1 other fieldsHigh correlation
소유기관 is highly overall correlated with 시군구 and 1 other fieldsHigh correlation
관리주체 is highly overall correlated with 시군구 and 1 other fieldsHigh correlation
부지면적(제곱미터) has 14 (9.5%) missing valuesMissing
건축면적(제곱미터) has 87 (59.2%) missing valuesMissing
연면적(제곱미터) has 75 (51.0%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2024-04-17 13:24:27.909011
Analysis finished2024-04-17 13:24:29.793592
Duration1.88 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct147
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean74
Minimum1
Maximum147
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-04-17T22:24:29.857557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8.3
Q137.5
median74
Q3110.5
95-th percentile139.7
Maximum147
Range146
Interquartile range (IQR)73

Descriptive statistics

Standard deviation42.579338
Coefficient of variation (CV)0.57539646
Kurtosis-1.2
Mean74
Median Absolute Deviation (MAD)37
Skewness0
Sum10878
Variance1813
MonotonicityStrictly increasing
2024-04-17T22:24:29.985411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.7%
94 1
 
0.7%
96 1
 
0.7%
97 1
 
0.7%
98 1
 
0.7%
99 1
 
0.7%
100 1
 
0.7%
101 1
 
0.7%
102 1
 
0.7%
103 1
 
0.7%
Other values (137) 137
93.2%
ValueCountFrequency (%)
1 1
0.7%
2 1
0.7%
3 1
0.7%
4 1
0.7%
5 1
0.7%
6 1
0.7%
7 1
0.7%
8 1
0.7%
9 1
0.7%
10 1
0.7%
ValueCountFrequency (%)
147 1
0.7%
146 1
0.7%
145 1
0.7%
144 1
0.7%
143 1
0.7%
142 1
0.7%
141 1
0.7%
140 1
0.7%
139 1
0.7%
138 1
0.7%

시설구분
Categorical

HIGH CORRELATION 

Distinct15
Distinct (%)10.2%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
게이트볼장
28 
기타 체육시설
27 
축구장
22 
테니스장
20 
생활체육관
20 
Other values (10)
30 

Length

Max length7
Median length5
Mean length4.6054422
Min length3

Unique

Unique4 ?
Unique (%)2.7%

Sample

1st row육상경기장
2nd row육상경기장
3rd row축구장
4th row축구장
5th row축구장

Common Values

ValueCountFrequency (%)
게이트볼장 28
19.0%
기타 체육시설 27
18.4%
축구장 22
15.0%
테니스장 20
13.6%
생활체육관 20
13.6%
수영장 10
 
6.8%
야구장 7
 
4.8%
구기체육관 3
 
2.0%
육상경기장 2
 
1.4%
양궁장 2
 
1.4%
Other values (5) 6
 
4.1%

Length

2024-04-17T22:24:30.117086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
게이트볼장 28
16.1%
기타 27
15.5%
체육시설 27
15.5%
축구장 22
12.6%
테니스장 20
11.5%
생활체육관 20
11.5%
수영장 10
 
5.7%
야구장 7
 
4.0%
구기체육관 3
 
1.7%
육상경기장 2
 
1.1%
Other values (6) 8
 
4.6%

시군구
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
북구
47 
서구
44 
광산구
32 
동구
16 
남구
8 

Length

Max length3
Median length2
Mean length2.2176871
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row서구
2nd row서구
3rd row동구
4th row서구
5th row서구

Common Values

ValueCountFrequency (%)
북구 47
32.0%
서구 44
29.9%
광산구 32
21.8%
동구 16
 
10.9%
남구 8
 
5.4%

Length

2024-04-17T22:24:30.231710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T22:24:30.332293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
북구 47
32.0%
서구 44
29.9%
광산구 32
21.8%
동구 16
 
10.9%
남구 8
 
5.4%

시설명
Text

Distinct146
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2024-04-17T22:24:30.548368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length14
Mean length9.7687075
Min length3

Characters and Unicode

Total characters1436
Distinct characters192
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique145 ?
Unique (%)98.6%

Sample

1st row광주월드컵경기장주경기장
2nd row광주월드컵경기장보조경기장
3rd row용산생활체육시설인조잔디구장
4th row상무시민공원종합운동장
5th row덕흥동 영산강둔치축구장
ValueCountFrequency (%)
게이트볼장 18
 
7.9%
축구장 8
 
3.5%
테니스장 6
 
2.6%
족구장 5
 
2.2%
첨단 4
 
1.8%
덕흥동 4
 
1.8%
정구장 4
 
1.8%
동림동 3
 
1.3%
북구 3
 
1.3%
인조잔디 3
 
1.3%
Other values (155) 170
74.6%
2024-04-17T22:24:30.901663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
장 135
 
9.4%
84
 
5.8%
구 68
 
4.7%
육 38
 
2.6%
체 37
 
2.6%
공 35
 
2.4%
원 34
 
2.4%
동 33
 
2.3%
이 31
 
2.2%
볼 30
 
2.1%
Other values (182) 911
63.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1333
92.8%
Space Separator 84
 
5.8%
Decimal Number 7
 
0.5%
Open Punctuation 4
 
0.3%
Close Punctuation 4
 
0.3%
Lowercase Letter 2
 
0.1%
Dash Punctuation 1
 
0.1%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 135
 
10.1%
구 68
 
5.1%
육 38
 
2.9%
체 37
 
2.8%
공 35
 
2.6%
원 34
 
2.6%
동 33
 
2.5%
이 31
 
2.3%
볼 30
 
2.3%
트 29
 
2.2%
Other values (172) 863
64.7%
Decimal Number
ValueCountFrequency (%)
1 5
71.4%
3 1
 
14.3%
2 1
 
14.3%
Lowercase Letter
ValueCountFrequency (%)
i 1
50.0%
c 1
50.0%
Space Separator
ValueCountFrequency (%)
84
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1333
92.8%
Common 100
 
7.0%
Latin 3
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 135
 
10.1%
구 68
 
5.1%
육 38
 
2.9%
체 37
 
2.8%
공 35
 
2.6%
원 34
 
2.6%
동 33
 
2.5%
이 31
 
2.3%
볼 30
 
2.3%
트 29
 
2.2%
Other values (172) 863
64.7%
Common
ValueCountFrequency (%)
84
84.0%
1 5
 
5.0%
( 4
 
4.0%
) 4
 
4.0%
- 1
 
1.0%
3 1
 
1.0%
2 1
 
1.0%
Latin
ValueCountFrequency (%)
i 1
33.3%
c 1
33.3%
A 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1333
92.8%
ASCII 103
 
7.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
장 135
 
10.1%
구 68
 
5.1%
육 38
 
2.9%
체 37
 
2.8%
공 35
 
2.6%
원 34
 
2.6%
동 33
 
2.5%
이 31
 
2.3%
볼 30
 
2.3%
트 29
 
2.2%
Other values (172) 863
64.7%
ASCII
ValueCountFrequency (%)
84
81.6%
1 5
 
4.9%
( 4
 
3.9%
) 4
 
3.9%
- 1
 
1.0%
3 1
 
1.0%
i 1
 
1.0%
c 1
 
1.0%
A 1
 
1.0%
2 1
 
1.0%

소유기관
Categorical

HIGH CORRELATION 

Distinct10
Distinct (%)6.8%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
광주시
39 
북구
36 
광산구
28 
서구
17 
동구
8 
Other values (5)
19 

Length

Max length5
Median length3
Mean length2.6054422
Min length2

Unique

Unique1 ?
Unique (%)0.7%

Sample

1st row광주시
2nd row광주시
3rd row동구
4th row광주시
5th row서구

Common Values

ValueCountFrequency (%)
광주시 39
26.5%
북구 36
24.5%
광산구 28
19.0%
서구 17
11.6%
동구 8
 
5.4%
동구 7
 
4.8%
남구 4
 
2.7%
광주시 4
 
2.7%
서구 3
 
2.0%
전남대학교 1
 
0.7%

Length

2024-04-17T22:24:31.048453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T22:24:31.176653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
광주시 43
29.3%
북구 36
24.5%
광산구 28
19.0%
서구 20
13.6%
동구 15
 
10.2%
남구 4
 
2.7%
전남대학교 1
 
0.7%

관리주체
Categorical

HIGH CORRELATION 

Distinct44
Distinct (%)29.9%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
북구
28 
위탁(광산구시설관리공단)
26 
위탁(광주시체육회)
20 
서구
16 
동구
8 
Other values (39)
49 

Length

Max length16
Median length15
Mean length7.7142857
Min length2

Unique

Unique32 ?
Unique (%)21.8%

Sample

1st row위탁(광주시체육회)
2nd row위탁(광주시체육회)
3rd row동구
4th row서구
5th row위탁(서구생활체육협의회)

Common Values

ValueCountFrequency (%)
북구 28
19.0%
위탁(광산구시설관리공단) 26
17.7%
위탁(광주시체육회) 20
13.6%
서구 16
10.9%
동구 8
 
5.4%
위탁(재)동구행복재단 4
 
2.7%
위탁(시장애인체육회) 3
 
2.0%
위탁(서구생활체육협의회) 2
 
1.4%
위탁(시체육회) 2
 
1.4%
위탁(서구생활체육회) 2
 
1.4%
Other values (34) 36
24.5%

Length

2024-04-17T22:24:31.333359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
북구 28
19.0%
위탁(광산구시설관리공단 26
17.7%
위탁(광주시체육회 20
13.6%
서구 16
10.9%
동구 8
 
5.4%
위탁(재)동구행복재단 4
 
2.7%
위탁(시장애인체육회 3
 
2.0%
위탁(광주광역시도시공사 2
 
1.4%
북구청 2
 
1.4%
위탁(서구생활체육회 2
 
1.4%
Other values (34) 36
24.5%

부지면적(제곱미터)
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct114
Distinct (%)85.7%
Missing14
Missing (%)9.5%
Infinite0
Infinite (%)0.0%
Mean12801.564
Minimum234
Maximum470278
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-04-17T22:24:31.463271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum234
5-th percentile374
Q1905
median2887
Q310050
95-th percentile53093.8
Maximum470278
Range470044
Interquartile range (IQR)9145

Descriptive statistics

Standard deviation42864.303
Coefficient of variation (CV)3.3483646
Kurtosis99.929407
Mean12801.564
Median Absolute Deviation (MAD)2513
Skewness9.4442631
Sum1702608
Variance1.8373485 × 109
MonotonicityNot monotonic
2024-04-17T22:24:31.892865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
374 15
 
10.2%
1260 2
 
1.4%
1200 2
 
1.4%
2709 2
 
1.4%
2887 2
 
1.4%
10538 2
 
1.4%
643 1
 
0.7%
2507 1
 
0.7%
1530 1
 
0.7%
748 1
 
0.7%
Other values (104) 104
70.7%
(Missing) 14
 
9.5%
ValueCountFrequency (%)
234 1
 
0.7%
320 1
 
0.7%
322 1
 
0.7%
330 1
 
0.7%
357 1
 
0.7%
366 1
 
0.7%
374 15
10.2%
382 1
 
0.7%
400 1
 
0.7%
416 1
 
0.7%
ValueCountFrequency (%)
470278 1
0.7%
79598 1
0.7%
69956 1
0.7%
67146 1
0.7%
58986 1
0.7%
55000 1
0.7%
53776 1
0.7%
52639 1
0.7%
50000 1
0.7%
45109 1
0.7%

건축면적(제곱미터)
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct56
Distinct (%)93.3%
Missing87
Missing (%)59.2%
Infinite0
Infinite (%)0.0%
Mean3125.65
Minimum12
Maximum20510
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-04-17T22:24:32.013935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12
5-th percentile61.2
Q1494
median1722
Q33316.75
95-th percentile11444.85
Maximum20510
Range20498
Interquartile range (IQR)2822.75

Descriptive statistics

Standard deviation4164.3884
Coefficient of variation (CV)1.3323272
Kurtosis5.6689748
Mean3125.65
Median Absolute Deviation (MAD)1281.5
Skewness2.3159275
Sum187539
Variance17342131
MonotonicityNot monotonic
2024-04-17T22:24:32.143392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1441 2
 
1.4%
2574 2
 
1.4%
1405 2
 
1.4%
10538 2
 
1.4%
398 1
 
0.7%
46 1
 
0.7%
999 1
 
0.7%
807 1
 
0.7%
2393 1
 
0.7%
499 1
 
0.7%
Other values (46) 46
31.3%
(Missing) 87
59.2%
ValueCountFrequency (%)
12 1
0.7%
23 1
0.7%
46 1
0.7%
62 1
0.7%
93 1
0.7%
105 1
0.7%
128 1
0.7%
192 1
0.7%
234 1
0.7%
300 1
0.7%
ValueCountFrequency (%)
20510 1
0.7%
16065 1
0.7%
11993 1
0.7%
11416 1
0.7%
10774 1
0.7%
10538 2
1.4%
6523 1
0.7%
6377 1
0.7%
6241 1
0.7%
4654 1
0.7%

연면적(제곱미터)
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct67
Distinct (%)93.1%
Missing75
Missing (%)51.0%
Infinite0
Infinite (%)0.0%
Mean6015.7083
Minimum23
Maximum69459
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-04-17T22:24:32.267960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum23
5-th percentile112.25
Q1462.25
median3094
Q35908.75
95-th percentile22144.7
Maximum69459
Range69436
Interquartile range (IQR)5446.5

Descriptive statistics

Standard deviation11394.216
Coefficient of variation (CV)1.8940772
Kurtosis18.497412
Mean6015.7083
Median Absolute Deviation (MAD)2639
Skewness4.0393701
Sum433131
Variance1.2982815 × 108
MonotonicityNot monotonic
2024-04-17T22:24:32.393336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3218 2
 
1.4%
4520 2
 
1.4%
6067 2
 
1.4%
3650 2
 
1.4%
400 2
 
1.4%
330 1
 
0.7%
4422 1
 
0.7%
366 1
 
0.7%
643 1
 
0.7%
2620 1
 
0.7%
Other values (57) 57
38.8%
(Missing) 75
51.0%
ValueCountFrequency (%)
23 1
0.7%
46 1
0.7%
62 1
0.7%
93 1
0.7%
128 1
0.7%
205 1
0.7%
230 1
0.7%
234 1
0.7%
300 1
0.7%
324 1
0.7%
ValueCountFrequency (%)
69459 1
0.7%
57646 1
0.7%
27885 1
0.7%
22588 1
0.7%
21782 1
0.7%
21003 1
0.7%
19398 1
0.7%
10538 1
0.7%
9862 1
0.7%
9059 1
0.7%

Interactions

2024-04-17T22:24:29.191431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T22:24:28.311633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T22:24:28.600652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T22:24:28.897175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T22:24:29.273913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T22:24:28.387385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T22:24:28.672503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T22:24:28.977989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T22:24:29.346447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T22:24:28.459336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T22:24:28.741491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T22:24:29.049135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T22:24:29.421792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T22:24:28.524629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T22:24:28.811751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T22:24:29.116537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-17T22:24:32.481005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번시설구분시군구소유기관관리주체부지면적(제곱미터)건축면적(제곱미터)연면적(제곱미터)
연번1.0000.9400.7260.7590.7930.1940.5370.544
시설구분0.9401.0000.3960.6370.6760.8530.7230.608
시군구0.7260.3961.0000.9900.9870.1780.4310.273
소유기관0.7590.6370.9901.0000.9650.2230.0000.000
관리주체0.7930.6760.9870.9651.0000.5120.1180.819
부지면적(제곱미터)0.1940.8530.1780.2230.5121.0000.9690.931
건축면적(제곱미터)0.5370.7230.4310.0000.1180.9691.0000.946
연면적(제곱미터)0.5440.6080.2730.0000.8190.9310.9461.000
2024-04-17T22:24:32.590118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설구분시군구소유기관관리주체
시설구분1.0000.1710.2900.221
시군구0.1711.0000.8390.781
소유기관0.2900.8391.0000.676
관리주체0.2210.7810.6761.000
2024-04-17T22:24:32.689526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번부지면적(제곱미터)건축면적(제곱미터)연면적(제곱미터)시설구분시군구소유기관관리주체
연번1.000-0.374-0.170-0.0880.7060.3780.3290.354
부지면적(제곱미터)-0.3741.0000.5120.5440.7030.1340.1220.239
건축면적(제곱미터)-0.1700.5121.0000.8500.3950.2860.0000.000
연면적(제곱미터)-0.0880.5440.8501.0000.3040.1720.0000.398
시설구분0.7060.7030.3950.3041.0000.1710.2900.221
시군구0.3780.1340.2860.1720.1711.0000.8390.781
소유기관0.3290.1220.0000.0000.2900.8391.0000.676
관리주체0.3540.2390.0000.3980.2210.7810.6761.000

Missing values

2024-04-17T22:24:29.535447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-17T22:24:29.648820image/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.
2024-04-17T22:24:29.742954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

연번시설구분시군구시설명소유기관관리주체부지면적(제곱미터)건축면적(제곱미터)연면적(제곱미터)
01육상경기장서구광주월드컵경기장주경기장광주시위탁(광주시체육회)4702782051069459
12육상경기장서구광주월드컵경기장보조경기장광주시위탁(광주시체육회)<NA><NA>205
23축구장동구용산생활체육시설인조잔디구장동구동구175856262
34축구장서구상무시민공원종합운동장광주시서구27260<NA><NA>
45축구장서구덕흥동 영산강둔치축구장서구위탁(서구생활체육협의회)12800<NA><NA>
56축구장서구풍암생활체육공원 축구장서구서구7776<NA><NA>
67축구장서구영산강둔치축구장서구위탁(서구생활체육협의회)12150<NA><NA>
78축구장서구서창동 축구장서구서구4987<NA><NA>
89축구장북구일곡근린공원인조잔디구장북구북구5292<NA><NA>
910축구장북구문화근린공원인조잔디구장북구북구8214<NA><NA>
연번시설구분시군구시설명소유기관관리주체부지면적(제곱미터)건축면적(제곱미터)연면적(제곱미터)
137138기타 체육시설북구운암족구장북구북구680<NA><NA>
138139기타 체육시설북구신정배드민턴장북구북구320<NA><NA>
139140기타 체육시설북구각화1교하부체육공간 풋살장북구북구684<NA><NA>
140141기타 체육시설북구첨단대상파크골프장광주시위탁(시체육회)699564646
141142기타 체육시설광산구서봉지구 파크골프장광산구광산구58986<NA><NA>
142143기타 체육시설광산구고저ic 풋살장광산구위탁(광산구시설관리공단)919<NA><NA>
143144기타 체육시설광산구영산강 그라운드 골프장광산구위탁(광산구시설관리공단)2800<NA><NA>
144145기타 체육시설광산구풍영체육시설단지 정구장광산구위탁(광산구시설관리공단)<NA><NA><NA>
145146기타 체육시설광산구첨단종합운동장 소프트볼장(3면)광산구위탁(광산구시설관리공단)79598<NA>21003
146147빙상장서구광주실내빙상장광주시위탁(광주광역시도시공사)<NA>37404117