Overview

Dataset statistics

Number of variables8
Number of observations44
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.0 KiB
Average record size in memory70.0 B

Variable types

Numeric3
Categorical2
Text3

Dataset

Description경기도 광주시 관내 위치한 체육시설 현황에 대한 데이터로 구분, 시설명, 면적, 주소, 주요시설, 설치년도 등을 제공합니다.
URLhttps://www.data.go.kr/data/15030629/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
연번 is highly overall correlated with 설치년도 and 1 other fieldsHigh correlation
설치년도 is highly overall correlated with 연번High correlation
구분 is highly overall correlated with 연번High correlation
연번 has unique valuesUnique
면적(m2) has unique valuesUnique

Reproduction

Analysis started2023-12-12 18:22:07.432434
Analysis finished2023-12-12 18:22:08.688459
Duration1.26 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct44
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.5
Minimum1
Maximum44
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size528.0 B
2023-12-13T03:22:08.749493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.15
Q111.75
median22.5
Q333.25
95-th percentile41.85
Maximum44
Range43
Interquartile range (IQR)21.5

Descriptive statistics

Standard deviation12.845233
Coefficient of variation (CV)0.57089923
Kurtosis-1.2
Mean22.5
Median Absolute Deviation (MAD)11
Skewness0
Sum990
Variance165
MonotonicityStrictly increasing
2023-12-13T03:22:08.867220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
1 1
 
2.3%
24 1
 
2.3%
26 1
 
2.3%
27 1
 
2.3%
28 1
 
2.3%
29 1
 
2.3%
30 1
 
2.3%
31 1
 
2.3%
32 1
 
2.3%
33 1
 
2.3%
Other values (34) 34
77.3%
ValueCountFrequency (%)
1 1
2.3%
2 1
2.3%
3 1
2.3%
4 1
2.3%
5 1
2.3%
6 1
2.3%
7 1
2.3%
8 1
2.3%
9 1
2.3%
10 1
2.3%
ValueCountFrequency (%)
44 1
2.3%
43 1
2.3%
42 1
2.3%
41 1
2.3%
40 1
2.3%
39 1
2.3%
38 1
2.3%
37 1
2.3%
36 1
2.3%
35 1
2.3%

구분
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)11.4%
Missing0
Missing (%)0.0%
Memory size484.0 B
기타 체육시설
17 
게이트볼장
11 
운동장
10 
종합체육시설
4 
기타체육시설
2 

Length

Max length7
Median length6
Mean length5.4545455
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
기타 체육시설 17
38.6%
게이트볼장 11
25.0%
운동장 10
22.7%
종합체육시설 4
 
9.1%
기타체육시설 2
 
4.5%

Length

2023-12-13T03:22:08.982071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:22:09.094155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타 17
27.9%
체육시설 17
27.9%
게이트볼장 11
18.0%
운동장 10
16.4%
종합체육시설 4
 
6.6%
기타체육시설 2
 
3.3%

시설명
Text

Distinct43
Distinct (%)97.7%
Missing0
Missing (%)0.0%
Memory size484.0 B
2023-12-13T03:22:09.292926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length16.5
Mean length10.727273
Min length6

Characters and Unicode

Total characters472
Distinct characters107
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

Unique42 ?
Unique (%)95.5%

Sample

1st row광주 공설운동장
2nd row광남 생활체육공원
3rd row도척 그린공원
4th row퇴촌 공설운동장
5th row남종 공설운동장
ValueCountFrequency (%)
게이트볼장 9
 
10.0%
공설운동장 5
 
5.6%
체육시설 4
 
4.4%
생활체육공원 3
 
3.3%
광주 3
 
3.3%
생활체육시설 3
 
3.3%
만선리 2
 
2.2%
오포읍 2
 
2.2%
배드민턴장 2
 
2.2%
오포 2
 
2.2%
Other values (48) 55
61.1%
2023-12-13T03:22:09.626824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
47
 
10.0%
장 23
 
4.9%
체 18
 
3.8%
육 18
 
3.8%
공 16
 
3.4%
설 14
 
3.0%
시 14
 
3.0%
원 12
 
2.5%
이 10
 
2.1%
트 9
 
1.9%
Other values (97) 291
61.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 408
86.4%
Space Separator 47
 
10.0%
Decimal Number 5
 
1.1%
Open Punctuation 4
 
0.8%
Math Symbol 4
 
0.8%
Close Punctuation 4
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 23
 
5.6%
체 18
 
4.4%
육 18
 
4.4%
공 16
 
3.9%
설 14
 
3.4%
시 14
 
3.4%
원 12
 
2.9%
이 10
 
2.5%
트 9
 
2.2%
게 9
 
2.2%
Other values (90) 265
65.0%
Decimal Number
ValueCountFrequency (%)
2 3
60.0%
3 1
 
20.0%
4 1
 
20.0%
Space Separator
ValueCountFrequency (%)
47
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 408
86.4%
Common 64
 
13.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 23
 
5.6%
체 18
 
4.4%
육 18
 
4.4%
공 16
 
3.9%
설 14
 
3.4%
시 14
 
3.4%
원 12
 
2.9%
이 10
 
2.5%
트 9
 
2.2%
게 9
 
2.2%
Other values (90) 265
65.0%
Common
ValueCountFrequency (%)
47
73.4%
( 4
 
6.2%
~ 4
 
6.2%
) 4
 
6.2%
2 3
 
4.7%
3 1
 
1.6%
4 1
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 408
86.4%
ASCII 64
 
13.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
47
73.4%
( 4
 
6.2%
~ 4
 
6.2%
) 4
 
6.2%
2 3
 
4.7%
3 1
 
1.6%
4 1
 
1.6%
Hangul
ValueCountFrequency (%)
장 23
 
5.6%
체 18
 
4.4%
육 18
 
4.4%
공 16
 
3.9%
설 14
 
3.4%
시 14
 
3.4%
원 12
 
2.9%
이 10
 
2.5%
트 9
 
2.2%
게 9
 
2.2%
Other values (90) 265
65.0%

면적(m2)
Real number (ℝ)

UNIQUE 

Distinct44
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8683.4091
Minimum330
Maximum38440
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size528.0 B
2023-12-13T03:22:09.768654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum330
5-th percentile375.65
Q1613.5
median3904.5
Q313489.75
95-th percentile29807.6
Maximum38440
Range38110
Interquartile range (IQR)12876.25

Descriptive statistics

Standard deviation10430.07
Coefficient of variation (CV)1.2011492
Kurtosis0.58784091
Mean8683.4091
Median Absolute Deviation (MAD)3502
Skewness1.2631358
Sum382070
Variance1.0878636 × 108
MonotonicityNot monotonic
2023-12-13T03:22:09.941919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
12977 1
 
2.3%
385 1
 
2.3%
1150 1
 
2.3%
6239 1
 
2.3%
11000 1
 
2.3%
700 1
 
2.3%
4573 1
 
2.3%
9942 1
 
2.3%
6675 1
 
2.3%
3236 1
 
2.3%
Other values (34) 34
77.3%
ValueCountFrequency (%)
330 1
2.3%
336 1
2.3%
374 1
2.3%
385 1
2.3%
389 1
2.3%
391 1
2.3%
414 1
2.3%
452 1
2.3%
456 1
2.3%
477 1
2.3%
ValueCountFrequency (%)
38440 1
2.3%
30308 1
2.3%
29813 1
2.3%
29777 1
2.3%
26552 1
2.3%
22651 1
2.3%
20753 1
2.3%
20397 1
2.3%
20055 1
2.3%
16500 1
2.3%

주소
Text

Distinct40
Distinct (%)90.9%
Missing0
Missing (%)0.0%
Memory size484.0 B
2023-12-13T03:22:10.225339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length21
Mean length18.863636
Min length14

Characters and Unicode

Total characters830
Distinct characters80
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

Unique37 ?
Unique (%)84.1%

Sample

1st row경기도 광주시 경안동 123-4
2nd row경기도 광주시 태전동 601-1
3rd row경기도 광주시 도척면 유정리 211
4th row경기도 광주시 퇴촌면 광동리 530
5th row경기도 광주시 남종면 분원리 100
ValueCountFrequency (%)
경기도 44
21.8%
광주시 44
21.8%
오포읍 10
 
5.0%
곤지암읍 4
 
2.0%
초월읍 4
 
2.0%
장지동 3
 
1.5%
광동리 3
 
1.5%
중대동 3
 
1.5%
퇴촌면 3
 
1.5%
도척면 3
 
1.5%
Other values (66) 81
40.1%
2023-12-13T03:22:10.719314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
159
19.2%
도 47
 
5.7%
광 47
 
5.7%
경 46
 
5.5%
주 44
 
5.3%
시 44
 
5.3%
기 44
 
5.3%
1 37
 
4.5%
리 26
 
3.1%
2 25
 
3.0%
Other values (70) 311
37.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 491
59.2%
Space Separator 159
 
19.2%
Decimal Number 155
 
18.7%
Dash Punctuation 25
 
3.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 47
 
9.6%
광 47
 
9.6%
경 46
 
9.4%
주 44
 
9.0%
시 44
 
9.0%
기 44
 
9.0%
리 26
 
5.3%
읍 18
 
3.7%
동 16
 
3.3%
포 10
 
2.0%
Other values (58) 149
30.3%
Decimal Number
ValueCountFrequency (%)
1 37
23.9%
2 25
16.1%
0 16
10.3%
8 15
9.7%
3 14
 
9.0%
6 14
 
9.0%
5 13
 
8.4%
4 11
 
7.1%
7 6
 
3.9%
9 4
 
2.6%
Space Separator
ValueCountFrequency (%)
159
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 25
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 491
59.2%
Common 339
40.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 47
 
9.6%
광 47
 
9.6%
경 46
 
9.4%
주 44
 
9.0%
시 44
 
9.0%
기 44
 
9.0%
리 26
 
5.3%
읍 18
 
3.7%
동 16
 
3.3%
포 10
 
2.0%
Other values (58) 149
30.3%
Common
ValueCountFrequency (%)
159
46.9%
1 37
 
10.9%
2 25
 
7.4%
- 25
 
7.4%
0 16
 
4.7%
8 15
 
4.4%
3 14
 
4.1%
6 14
 
4.1%
5 13
 
3.8%
4 11
 
3.2%
Other values (2) 10
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 491
59.2%
ASCII 339
40.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
159
46.9%
1 37
 
10.9%
2 25
 
7.4%
- 25
 
7.4%
0 16
 
4.7%
8 15
 
4.4%
3 14
 
4.1%
6 14
 
4.1%
5 13
 
3.8%
4 11
 
3.2%
Other values (2) 10
 
2.9%
Hangul
ValueCountFrequency (%)
도 47
 
9.6%
광 47
 
9.6%
경 46
 
9.4%
주 44
 
9.0%
시 44
 
9.0%
기 44
 
9.0%
리 26
 
5.3%
읍 18
 
3.7%
동 16
 
3.3%
포 10
 
2.0%
Other values (58) 149
30.3%

주요시설
Text

Distinct39
Distinct (%)88.6%
Missing0
Missing (%)0.0%
Memory size484.0 B
2023-12-13T03:22:10.989057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length65
Median length27
Mean length20.25
Min length3

Characters and Unicode

Total characters891
Distinct characters100
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique37 ?
Unique (%)84.1%

Sample

1st row축구장, 육상장(4레인), 다목적구장, 인라인스케이트장
2nd row축구장, 씨름장, 게이트볼장, 농구장, 족구장 등
3rd row축구장, 야구장, 게이트볼장, 테니스장, 씨름장, 배드민턴장
4th row축구장, 게이트볼장, 놀이터, 주차장
5th row축구장
ValueCountFrequency (%)
1면 21
 
12.1%
농구장 10
 
5.7%
축구장 10
 
5.7%
족구장 8
 
4.6%
배드민턴장 8
 
4.6%
인조잔디(55mm 8
 
4.6%
풋살장 6
 
3.4%
게이트볼장 6
 
3.4%
야외 5
 
2.9%
2면 5
 
2.9%
Other values (51) 87
50.0%
2023-12-13T03:22:11.435419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
132
 
14.8%
장 84
 
9.4%
, 82
 
9.2%
구 41
 
4.6%
면 37
 
4.2%
1 22
 
2.5%
인 20
 
2.2%
m 18
 
2.0%
배 17
 
1.9%
5 17
 
1.9%
Other values (90) 421
47.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 568
63.7%
Space Separator 132
 
14.8%
Other Punctuation 83
 
9.3%
Decimal Number 56
 
6.3%
Lowercase Letter 18
 
2.0%
Close Punctuation 14
 
1.6%
Open Punctuation 14
 
1.6%
Uppercase Letter 6
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 84
 
14.8%
구 41
 
7.2%
면 37
 
6.5%
인 20
 
3.5%
배 17
 
3.0%
축 16
 
2.8%
드 16
 
2.8%
턴 15
 
2.6%
이 15
 
2.6%
트 15
 
2.6%
Other values (75) 292
51.4%
Decimal Number
ValueCountFrequency (%)
1 22
39.3%
5 17
30.4%
2 6
 
10.7%
3 5
 
8.9%
4 4
 
7.1%
6 1
 
1.8%
9 1
 
1.8%
Other Punctuation
ValueCountFrequency (%)
, 82
98.8%
· 1
 
1.2%
Uppercase Letter
ValueCountFrequency (%)
X 3
50.0%
G 3
50.0%
Space Separator
ValueCountFrequency (%)
132
100.0%
Lowercase Letter
ValueCountFrequency (%)
m 18
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 568
63.7%
Common 299
33.6%
Latin 24
 
2.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 84
 
14.8%
구 41
 
7.2%
면 37
 
6.5%
인 20
 
3.5%
배 17
 
3.0%
축 16
 
2.8%
드 16
 
2.8%
턴 15
 
2.6%
이 15
 
2.6%
트 15
 
2.6%
Other values (75) 292
51.4%
Common
ValueCountFrequency (%)
132
44.1%
, 82
27.4%
1 22
 
7.4%
5 17
 
5.7%
) 14
 
4.7%
( 14
 
4.7%
2 6
 
2.0%
3 5
 
1.7%
4 4
 
1.3%
6 1
 
0.3%
Other values (2) 2
 
0.7%
Latin
ValueCountFrequency (%)
m 18
75.0%
X 3
 
12.5%
G 3
 
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 568
63.7%
ASCII 322
36.1%
None 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
132
41.0%
, 82
25.5%
1 22
 
6.8%
m 18
 
5.6%
5 17
 
5.3%
) 14
 
4.3%
( 14
 
4.3%
2 6
 
1.9%
3 5
 
1.6%
4 4
 
1.2%
Other values (4) 8
 
2.5%
Hangul
ValueCountFrequency (%)
장 84
 
14.8%
구 41
 
7.2%
면 37
 
6.5%
인 20
 
3.5%
배 17
 
3.0%
축 16
 
2.8%
드 16
 
2.8%
턴 15
 
2.6%
이 15
 
2.6%
트 15
 
2.6%
Other values (75) 292
51.4%
None
ValueCountFrequency (%)
· 1
100.0%

설치년도
Real number (ℝ)

HIGH CORRELATION 

Distinct18
Distinct (%)40.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2013.6818
Minimum1985
Maximum2023
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size528.0 B
2023-12-13T03:22:11.611739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1985
5-th percentile1995.6
Q12011
median2015
Q32018
95-th percentile2022.85
Maximum2023
Range38
Interquartile range (IQR)7

Descriptive statistics

Standard deviation8.2652895
Coefficient of variation (CV)0.0041045658
Kurtosis4.7776885
Mean2013.6818
Median Absolute Deviation (MAD)4
Skewness-2.0389401
Sum88602
Variance68.315011
MonotonicityNot monotonic
2023-12-13T03:22:11.764772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
2011 7
15.9%
2017 4
9.1%
2014 4
9.1%
2018 4
9.1%
2013 3
 
6.8%
2023 3
 
6.8%
2016 3
 
6.8%
2020 3
 
6.8%
2015 3
 
6.8%
2022 2
 
4.5%
Other values (8) 8
18.2%
ValueCountFrequency (%)
1985 1
 
2.3%
1987 1
 
2.3%
1995 1
 
2.3%
1999 1
 
2.3%
2008 1
 
2.3%
2010 1
 
2.3%
2011 7
15.9%
2013 3
6.8%
2014 4
9.1%
2015 3
6.8%
ValueCountFrequency (%)
2023 3
6.8%
2022 2
4.5%
2021 1
 
2.3%
2020 3
6.8%
2019 1
 
2.3%
2018 4
9.1%
2017 4
9.1%
2016 3
6.8%
2015 3
6.8%
2014 4
9.1%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size484.0 B
2023-08-21
44 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-08-21
2nd row2023-08-21
3rd row2023-08-21
4th row2023-08-21
5th row2023-08-21

Common Values

ValueCountFrequency (%)
2023-08-21 44
100.0%

Length

2023-12-13T03:22:11.909306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:22:12.008160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-08-21 44
100.0%

Interactions

2023-12-13T03:22:08.289980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:22:07.829045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:22:08.048355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:22:08.358109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:22:07.889195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:22:08.129298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:22:08.433504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:22:07.971773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:22:08.214741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T03:22:12.084867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번구분시설명면적(m2)주소주요시설설치년도
연번1.0000.9681.0000.3190.6930.9570.666
구분0.9681.0001.0000.5740.8161.0000.367
시설명1.0001.0001.0000.9610.9830.9811.000
면적(m2)0.3190.5740.9611.0000.1711.0000.609
주소0.6930.8160.9830.1711.0000.9700.983
주요시설0.9571.0000.9811.0000.9701.0000.953
설치년도0.6660.3671.0000.6090.9830.9531.000
2023-12-13T03:22:12.208817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번면적(m2)설치년도구분
연번1.000-0.1020.6920.700
면적(m2)-0.1021.0000.1020.363
설치년도0.6920.1021.0000.270
구분0.7000.3630.2701.000

Missing values

2023-12-13T03:22:08.549512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T03:22:08.649089image/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

연번구분시설명면적(m2)주소주요시설설치년도데이터기준일자
01운동장광주 공설운동장12977경기도 광주시 경안동 123-4축구장, 육상장(4레인), 다목적구장, 인라인스케이트장19872023-08-21
12운동장광남 생활체육공원20753경기도 광주시 태전동 601-1축구장, 씨름장, 게이트볼장, 농구장, 족구장 등20112023-08-21
23운동장도척 그린공원29777경기도 광주시 도척면 유정리 211축구장, 야구장, 게이트볼장, 테니스장, 씨름장, 배드민턴장20132023-08-21
34운동장퇴촌 공설운동장16500경기도 광주시 퇴촌면 광동리 530축구장, 게이트볼장, 놀이터, 주차장19952023-08-21
45운동장남종 공설운동장20055경기도 광주시 남종면 분원리 100축구장19852023-08-21
56운동장남한산성 공설운동장6700경기도 광주시 남한산성면 상번천리 820축구장, 리틀야구장, 씨름장, 족구장20112023-08-21
67운동장초월 생활체육공원22651경기도 광주시 초월읍 늑현리 193-1축구장, 족구장, 배드민턴 겸용, 씨름장, 농구장20162023-08-21
78운동장곤지암 생활체육공원26552경기도 광주시 곤지암읍 삼리 612-14농구장, 축구장, 테니스장, 씨름장, 배드민턴(족구)장20162023-08-21
89운동장광주 시민체육관38440경기도 광주시 오포읍 양벌리 21-5실내체육관(배드민턴장, 탁구장, 다목적구장), 실외체육시설(테니스장, 농구장, 게이트볼장, 족구장, 인라인스케이트장)20172023-08-21
910운동장오포생활체육공원29813경기도 광주시 오포읍 매산리 626-6번지축구장 1면, 실내게이트볼장 1면, 다목적체육관(배드민턴 4면, 농구 1면, 배구 1면) 등20192023-08-21
연번구분시설명면적(m2)주소주요시설설치년도데이터기준일자
3435기타 체육시설쌍령배수지 체육시설2296경기도 광주시 초월읍 대쌍령리 산110-1배드민턴장 2면, 농구장 1면20202023-08-21
3536기타 체육시설국도3호선 교량하부(양벌리) 체육시설8792경기도 광주시 오포읍 양벌리 58-18테니스장 3면, 족구장 2면, 풋살장 1면20202023-08-21
3637기타 체육시설도척그린공원 다목적체육관957경기도 광주시 도척면 유정리 211배드민턴 4면, 농구 1면, 배구 1면20202023-08-21
3738기타 체육시설오포읍 문형리 체육시설1200경기도 광주시 오포읍 문형리 228-2족구·배드민턴 겸용 인조잔디 코트 2면20212023-08-21
3839종합체육시설광주시문화스포츠센터30308경기도 광주시 회안대로 891수영장, 다목적체육관, GX룸20112023-08-21
3940종합체육시설광주시워터파크20397경기도 광주시 청석로 73수영장, 야외물놀이 및 사계절썰매장20232023-08-21
4041종합체육시설태전국민체육센터2858경기도 광주시 태전동 124-17수영장, 헬스장, GX룸, 다목적체육관20232023-08-21
4142종합체육시설능평스포츠센터15028경기도 광주시 창뜰아랫길 14-3수영장, 헬스장, GX룸, 다목적실20232023-08-21
4243기타체육시설광주어린이체육센터5934경기도 광주시 문형산길 240어린이 저연령 놀이시설, 풋살장20222023-08-21
4344기타체육시설송정동 근린생활 소규모 체육관1133경기도 광주시 통미로 16번길헬스장, 다목적실20222023-08-21