Overview

Dataset statistics

Number of variables8
Number of observations27
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.9 KiB
Average record size in memory70.9 B

Variable types

Numeric2
Categorical3
Text3

Dataset

Description인천광역시 부평구 체육대회 개최 및 출전 지원 현황 데이터는 대회 유형, 대회명, 일자, 지원대상 등의 데이터를 제공합니다.
Author인천광역시 부평구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15118771&srcSe=7661IVAWM27C61E190

Alerts

연번 is highly overall correlated with 유형 and 1 other fieldsHigh correlation
지원금액(단위:천원) is highly overall correlated with 비 고High correlation
유형 is highly overall correlated with 연번 and 2 other fieldsHigh correlation
구분 is highly overall correlated with 연번 and 2 other fieldsHigh correlation
비 고 is highly overall correlated with 지원금액(단위:천원) and 2 other fieldsHigh correlation
연번 has unique valuesUnique
대 회 명 has unique valuesUnique

Reproduction

Analysis started2024-03-18 03:40:41.437644
Analysis finished2024-03-18 03:40:43.860826
Duration2.42 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14
Minimum1
Maximum27
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size375.0 B
2024-03-18T12:40:43.934021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.3
Q17.5
median14
Q320.5
95-th percentile25.7
Maximum27
Range26
Interquartile range (IQR)13

Descriptive statistics

Standard deviation7.9372539
Coefficient of variation (CV)0.56694671
Kurtosis-1.2
Mean14
Median Absolute Deviation (MAD)7
Skewness0
Sum378
Variance63
MonotonicityStrictly increasing
2024-03-18T12:40:44.041212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
1 1
 
3.7%
2 1
 
3.7%
27 1
 
3.7%
26 1
 
3.7%
25 1
 
3.7%
24 1
 
3.7%
23 1
 
3.7%
22 1
 
3.7%
21 1
 
3.7%
20 1
 
3.7%
Other values (17) 17
63.0%
ValueCountFrequency (%)
1 1
3.7%
2 1
3.7%
3 1
3.7%
4 1
3.7%
5 1
3.7%
6 1
3.7%
7 1
3.7%
8 1
3.7%
9 1
3.7%
10 1
3.7%
ValueCountFrequency (%)
27 1
3.7%
26 1
3.7%
25 1
3.7%
24 1
3.7%
23 1
3.7%
22 1
3.7%
21 1
3.7%
20 1
3.7%
19 1
3.7%
18 1
3.7%

유형
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Memory size348.0 B
생활체육대회
21 
각종 체육대회
6 

Length

Max length7
Median length6
Mean length6.2222222
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row생활체육대회
2nd row생활체육대회
3rd row생활체육대회
4th row각종 체육대회
5th row생활체육대회

Common Values

ValueCountFrequency (%)
생활체육대회 21
77.8%
각종 체육대회 6
 
22.2%

Length

2024-03-18T12:40:44.139138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T12:40:44.222920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
생활체육대회 21
63.6%
각종 6
 
18.2%
체육대회 6
 
18.2%

구분
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Memory size348.0 B
개최
21 
출전
6 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row개최
2nd row개최
3rd row개최
4th row출전
5th row개최

Common Values

ValueCountFrequency (%)
개최 21
77.8%
출전 6
 
22.2%

Length

2024-03-18T12:40:44.316663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T12:40:44.432764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개최 21
77.8%
출전 6
 
22.2%

대 회 명
Text

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size348.0 B
2024-03-18T12:40:44.651570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length28
Mean length19.37037
Min length16

Characters and Unicode

Total characters523
Distinct characters96
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique27 ?
Unique (%)100.0%

Sample

1st row제1회 부평구연맹장배 수영대회
2nd row제5회 부평구협회장배 탁구대회
3rd row제33회 부평구청장기 축구대회
4th row제17회 경기광주 남한산성배 전국동호인테니스대회
5th row제22회 부평구청장기 생활체육 체조대회
ValueCountFrequency (%)
부평구청장기 8
 
8.9%
제3회 4
 
4.4%
제23회 4
 
4.4%
부평구협회장배 4
 
4.4%
제17회 4
 
4.4%
부평구청장배 3
 
3.3%
제22회 3
 
3.3%
문화체육관광부장관기 3
 
3.3%
생활체육 2
 
2.2%
대한체육회장배 2
 
2.2%
Other values (52) 53
58.9%
2024-03-18T12:40:44.975089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
63
 
12.0%
회 60
 
11.5%
대 29
 
5.5%
제 26
 
5.0%
구 25
 
4.8%
장 23
 
4.4%
부 20
 
3.8%
2 18
 
3.4%
기 17
 
3.3%
평 17
 
3.3%
Other values (86) 225
43.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 403
77.1%
Space Separator 63
 
12.0%
Decimal Number 49
 
9.4%
Close Punctuation 4
 
0.8%
Open Punctuation 4
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
회 60
 
14.9%
대 29
 
7.2%
제 26
 
6.5%
구 25
 
6.2%
장 23
 
5.7%
부 20
 
5.0%
기 17
 
4.2%
평 17
 
4.2%
배 13
 
3.2%
청 12
 
3.0%
Other values (74) 161
40.0%
Decimal Number
ValueCountFrequency (%)
2 18
36.7%
3 12
24.5%
1 6
 
12.2%
7 5
 
10.2%
0 3
 
6.1%
5 2
 
4.1%
8 1
 
2.0%
4 1
 
2.0%
9 1
 
2.0%
Space Separator
ValueCountFrequency (%)
63
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 402
76.9%
Common 120
 
22.9%
Han 1
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
회 60
 
14.9%
대 29
 
7.2%
제 26
 
6.5%
구 25
 
6.2%
장 23
 
5.7%
부 20
 
5.0%
기 17
 
4.2%
평 17
 
4.2%
배 13
 
3.2%
청 12
 
3.0%
Other values (73) 160
39.8%
Common
ValueCountFrequency (%)
63
52.5%
2 18
 
15.0%
3 12
 
10.0%
1 6
 
5.0%
7 5
 
4.2%
) 4
 
3.3%
( 4
 
3.3%
0 3
 
2.5%
5 2
 
1.7%
8 1
 
0.8%
Other values (2) 2
 
1.7%
Han
ValueCountFrequency (%)
大 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 402
76.9%
ASCII 120
 
22.9%
CJK 1
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
63
52.5%
2 18
 
15.0%
3 12
 
10.0%
1 6
 
5.0%
7 5
 
4.2%
) 4
 
3.3%
( 4
 
3.3%
0 3
 
2.5%
5 2
 
1.7%
8 1
 
0.8%
Other values (2) 2
 
1.7%
Hangul
ValueCountFrequency (%)
회 60
 
14.9%
대 29
 
7.2%
제 26
 
6.5%
구 25
 
6.2%
장 23
 
5.7%
부 20
 
5.0%
기 17
 
4.2%
평 17
 
4.2%
배 13
 
3.2%
청 12
 
3.0%
Other values (73) 160
39.8%
CJK
ValueCountFrequency (%)
大 1
100.0%

일 자
Text

Distinct21
Distinct (%)77.8%
Missing0
Missing (%)0.0%
Memory size348.0 B
2024-03-18T12:40:45.145070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length22
Mean length17.814815
Min length13

Characters and Unicode

Total characters481
Distinct characters22
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique16 ?
Unique (%)59.3%

Sample

1st row2022.10.2.(일)
2nd row2022.10.2.(일)
3rd row2022.10.2.(일) / 10.9.(일)
4th row2022.10.5.(수)~10.9.(일)
5th row2022.10.8.(토)
ValueCountFrequency (%)
2022.10.21.(금)~10.23.(일 3
 
10.3%
2022.10.2.(일 3
 
10.3%
2022.11.12.(토 2
 
6.9%
2022.10.30.(일 2
 
6.9%
2022.11.13.(일 2
 
6.9%
10.9.(일 1
 
3.4%
2022.10.15.(토 1
 
3.4%
2022.10.10.(월 1
 
3.4%
2022.10.22.(토)~10.23.(일 1
 
3.4%
2022.10.23.(일 1
 
3.4%
Other values (12) 12
41.4%
2024-03-18T12:40:45.420799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 105
21.8%
. 103
21.4%
1 68
14.1%
0 53
11.0%
) 38
 
7.9%
( 38
 
7.9%
일 21
 
4.4%
토 11
 
2.3%
~ 10
 
2.1%
3 10
 
2.1%
Other values (12) 24
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 251
52.2%
Other Punctuation 104
21.6%
Close Punctuation 38
 
7.9%
Open Punctuation 38
 
7.9%
Other Letter 38
 
7.9%
Math Symbol 10
 
2.1%
Space Separator 2
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 105
41.8%
1 68
27.1%
0 53
21.1%
3 10
 
4.0%
9 5
 
2.0%
7 3
 
1.2%
6 2
 
0.8%
8 2
 
0.8%
5 2
 
0.8%
4 1
 
0.4%
Other Letter
ValueCountFrequency (%)
일 21
55.3%
토 11
28.9%
금 3
 
7.9%
수 1
 
2.6%
목 1
 
2.6%
월 1
 
2.6%
Other Punctuation
ValueCountFrequency (%)
. 103
99.0%
/ 1
 
1.0%
Close Punctuation
ValueCountFrequency (%)
) 38
100.0%
Open Punctuation
ValueCountFrequency (%)
( 38
100.0%
Math Symbol
ValueCountFrequency (%)
~ 10
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 443
92.1%
Hangul 38
 
7.9%

Most frequent character per script

Common
ValueCountFrequency (%)
2 105
23.7%
. 103
23.3%
1 68
15.3%
0 53
12.0%
) 38
 
8.6%
( 38
 
8.6%
~ 10
 
2.3%
3 10
 
2.3%
9 5
 
1.1%
7 3
 
0.7%
Other values (6) 10
 
2.3%
Hangul
ValueCountFrequency (%)
일 21
55.3%
토 11
28.9%
금 3
 
7.9%
수 1
 
2.6%
목 1
 
2.6%
월 1
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 443
92.1%
Hangul 38
 
7.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 105
23.7%
. 103
23.3%
1 68
15.3%
0 53
12.0%
) 38
 
8.6%
( 38
 
8.6%
~ 10
 
2.3%
3 10
 
2.3%
9 5
 
1.1%
7 3
 
0.7%
Other values (6) 10
 
2.3%
Hangul
ValueCountFrequency (%)
일 21
55.3%
토 11
28.9%
금 3
 
7.9%
수 1
 
2.6%
목 1
 
2.6%
월 1
 
2.6%

지원대상
Text

Distinct21
Distinct (%)77.8%
Missing0
Missing (%)0.0%
Memory size348.0 B
2024-03-18T12:40:45.619304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length15
Mean length15.62963
Min length14

Characters and Unicode

Total characters422
Distinct characters55
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique17 ?
Unique (%)63.0%

Sample

1st row부평구체육회(부평구수영연맹)
2nd row부평구체육회(부평구탁구협회)
3rd row부평구체육회(부평구축구협회)
4th row부평구체육회(부평구테니스협회)
5th row부평구체육회(부평구체조협회)
ValueCountFrequency (%)
부평구체육회(부평구합기도협회 4
 
14.8%
부평구체육회(부평구탁구협회 2
 
7.4%
부평구체육회(부평구당구연맹 2
 
7.4%
부평구체육회(부평구축구협회 2
 
7.4%
부평구체육회(부평구주짓수협회 1
 
3.7%
부평구체육회(부평구산악연맹 1
 
3.7%
부평구체육회(부평구농구협회 1
 
3.7%
부평구체육회(부평구씨름협회 1
 
3.7%
부평구체육회(부평구럭비협회 1
 
3.7%
부평구체육회(부평구검도회 1
 
3.7%
Other values (11) 11
40.7%
2024-03-18T12:40:45.968367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
구 63
14.9%
부 54
12.8%
평 54
12.8%
회 50
11.8%
체 28
6.6%
육 27
6.4%
( 27
6.4%
) 27
6.4%
협 22
 
5.2%
도 6
 
1.4%
Other values (45) 64
15.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 368
87.2%
Open Punctuation 27
 
6.4%
Close Punctuation 27
 
6.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 63
17.1%
부 54
14.7%
평 54
14.7%
회 50
13.6%
체 28
7.6%
육 27
7.3%
협 22
 
6.0%
도 6
 
1.6%
기 5
 
1.4%
맹 4
 
1.1%
Other values (43) 55
14.9%
Open Punctuation
ValueCountFrequency (%)
( 27
100.0%
Close Punctuation
ValueCountFrequency (%)
) 27
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 368
87.2%
Common 54
 
12.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 63
17.1%
부 54
14.7%
평 54
14.7%
회 50
13.6%
체 28
7.6%
육 27
7.3%
협 22
 
6.0%
도 6
 
1.6%
기 5
 
1.4%
맹 4
 
1.1%
Other values (43) 55
14.9%
Common
ValueCountFrequency (%)
( 27
50.0%
) 27
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 368
87.2%
ASCII 54
 
12.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
구 63
17.1%
부 54
14.7%
평 54
14.7%
회 50
13.6%
체 28
7.6%
육 27
7.3%
협 22
 
6.0%
도 6
 
1.6%
기 5
 
1.4%
맹 4
 
1.1%
Other values (43) 55
14.9%
ASCII
ValueCountFrequency (%)
( 27
50.0%
) 27
50.0%

지원금액(단위:천원)
Real number (ℝ)

HIGH CORRELATION 

Distinct23
Distinct (%)85.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4113.1852
Minimum260
Maximum13670
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size375.0 B
2024-03-18T12:40:46.077504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum260
5-th percentile623.7
Q11235
median2000
Q36590
95-th percentile9745
Maximum13670
Range13410
Interquartile range (IQR)5355

Descriptive statistics

Standard deviation3586.9776
Coefficient of variation (CV)0.87206809
Kurtosis0.1684853
Mean4113.1852
Median Absolute Deviation (MAD)1230
Skewness0.96087705
Sum111056
Variance12866408
MonotonicityNot monotonic
2024-03-18T12:40:46.190664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
2000 3
 
11.1%
1000 2
 
7.4%
3000 2
 
7.4%
1240 1
 
3.7%
910 1
 
3.7%
1230 1
 
3.7%
8260 1
 
3.7%
8040 1
 
3.7%
1854 1
 
3.7%
6790 1
 
3.7%
Other values (13) 13
48.1%
ValueCountFrequency (%)
260 1
3.7%
561 1
3.7%
770 1
3.7%
910 1
3.7%
1000 2
7.4%
1230 1
3.7%
1240 1
3.7%
1249 1
3.7%
1854 1
3.7%
1950 1
3.7%
ValueCountFrequency (%)
13670 1
3.7%
9790 1
3.7%
9640 1
3.7%
8260 1
3.7%
8040 1
3.7%
6790 1
3.7%
6780 1
3.7%
6400 1
3.7%
6192 1
3.7%
5760 1
3.7%

비 고
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Memory size348.0 B
개최완료
17 
참가완료
10 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row개최완료
2nd row개최완료
3rd row개최완료
4th row참가완료
5th row개최완료

Common Values

ValueCountFrequency (%)
개최완료 17
63.0%
참가완료 10
37.0%

Length

2024-03-18T12:40:46.296327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T12:40:46.373502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개최완료 17
63.0%
참가완료 10
37.0%

Interactions

2024-03-18T12:40:43.425728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T12:40:43.219187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T12:40:43.545277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T12:40:43.334304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-18T12:40:46.441820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번유형구분대 회 명일 자지원대상지원금액(단위:천원)비 고
연번1.0000.8070.8071.0000.9790.8670.6090.639
유형0.8071.0000.9851.0001.0000.6890.0000.794
구분0.8070.9851.0001.0001.0000.6890.0000.794
대 회 명1.0001.0001.0001.0001.0001.0001.0001.000
일 자0.9791.0001.0001.0001.0000.9670.9161.000
지원대상0.8670.6890.6891.0000.9671.0000.0000.000
지원금액(단위:천원)0.6090.0000.0001.0000.9160.0001.0000.788
비 고0.6390.7940.7941.0001.0000.0000.7881.000
2024-03-18T12:40:46.662018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분비 고유형
구분1.0000.5830.888
비 고0.5831.0000.583
유형0.8880.5831.000
2024-03-18T12:40:46.777215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번지원금액(단위:천원)유형구분비 고
연번1.000-0.0480.5210.5210.396
지원금액(단위:천원)-0.0481.0000.0000.0000.552
유형0.5210.0001.0000.8880.583
구분0.5210.0000.8881.0000.583
비 고0.3960.5520.5830.5831.000

Missing values

2024-03-18T12:40:43.683326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-18T12:40:43.811903image/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

연번유형구분대 회 명일 자지원대상지원금액(단위:천원)비 고
01생활체육대회개최제1회 부평구연맹장배 수영대회2022.10.2.(일)부평구체육회(부평구수영연맹)1000개최완료
12생활체육대회개최제5회 부평구협회장배 탁구대회2022.10.2.(일)부평구체육회(부평구탁구협회)3000개최완료
23생활체육대회개최제33회 부평구청장기 축구대회2022.10.2.(일) / 10.9.(일)부평구체육회(부평구축구협회)13670개최완료
34각종 체육대회출전제17회 경기광주 남한산성배 전국동호인테니스대회2022.10.5.(수)~10.9.(일)부평구체육회(부평구테니스협회)1249참가완료
45생활체육대회개최제22회 부평구청장기 생활체육 체조대회2022.10.8.(토)부평구체육회(부평구체조협회)5760개최완료
56생활체육대회개최제30회 부평구청장기 게이트볼대회2022.10.10.(월)부평구체육회(부평구게이트볼협회)5710개최완료
67생활체육대회개최제17회 부평구청장배 바둑대회2022.10.15.(토)부평구체육회(부평구바둑협회)6192개최완료
78각종 체육대회출전제23회 문화체육관광부장관기 전국합기도대회(유소년)2022.10.21.(금)~10.23.(일)부평구체육회(부평구합기도협회)260참가완료
89각종 체육대회출전제23회 문화체육관광부장관기 전국합기도대회(일반)2022.10.21.(금)~10.23.(일)부평구체육회(부평구합기도협회)770참가완료
910각종 체육대회출전제29회 문화체육관광부장관기 생활체육 전국게이트볼대회2022.10.21.(금)~10.23.(일)부평구체육회(부평구합기도협회)561참가완료
연번유형구분대 회 명일 자지원대상지원금액(단위:천원)비 고
1718생활체육대회개최제3회 부평구협회장배 주짓수대회2022.11.12.(토)부평구체육회(부평구주짓수협회)2000개최완료
1819각종 체육대회출전제8회 솔향강릉기 전국리틀야구대회2022.11.12.(토)~11.13.(일)부평구체육회(부평구야구소프트볼협회)1854참가완료
1920생활체육대회개최제20회 부평구청장기 검도대회2022.11.13.(일)부평구체육회(부평구검도회)8040개최완료
2021생활체육대회개최제3회 부평구협회장배 럭비대회2022.11.13.(일)부평구체육회(부평구럭비협회)2000개최완료
2122생활체육대회개최제15회 전국생활체육 大 장사 씨름대회2022.11.17.(목)~11.20.(일)부평구체육회(부평구씨름협회)2000참가완료
2223생활체육대회개최제17회 부평구청장배 합기도대회2022.11.19.(토)부평구체육회(부평구합기도협회)8260개최완료
2324생활체육대회개최제23회 대한체육회장배 전국생활체육 농구대회2022.11.19.(토)~11.20.(일)부평구체육회(부평구농구협회)1230참가완료
2425생활체육대회개최제17회 대한체육회장배 전국당구대회2022.11.26.(토)~11.27.(일)부평구체육회(부평구당구연맹)910참가완료
2526생활체육대회개최제3회 부평구연맹회장배 당구대회2022.12.4.(일)부평구체육회(부평구당구연맹)3000개최완료
2627생활체육대회개최2022년 탁구 디비전 리그 종합(전국) 대회2022.12.17.(토)~12.18.(일)부평구체육회(부평구탁구협회)1240참가완료