Overview

Dataset statistics

Number of variables4
Number of observations22
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory880.0 B
Average record size in memory40.0 B

Variable types

Numeric2
Text1
DateTime1

Dataset

Description인천광역시 남동구 남동구체육회 정회원단체 현황에 대한 데이터로 연번, 종목구분, 단체수, 데이터기준일자 항목을 제공합니다.
URLhttps://www.data.go.kr/data/15091012/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
연번 has unique valuesUnique
종목구분 has unique valuesUnique

Reproduction

Analysis started2023-12-12 21:16:53.752939
Analysis finished2023-12-12 21:16:54.458061
Duration0.71 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.5
Minimum1
Maximum22
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2023-12-13T06:16:54.540878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.05
Q16.25
median11.5
Q316.75
95-th percentile20.95
Maximum22
Range21
Interquartile range (IQR)10.5

Descriptive statistics

Standard deviation6.4935866
Coefficient of variation (CV)0.5646597
Kurtosis-1.2
Mean11.5
Median Absolute Deviation (MAD)5.5
Skewness0
Sum253
Variance42.166667
MonotonicityStrictly increasing
2023-12-13T06:16:54.677815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
1 1
 
4.5%
13 1
 
4.5%
22 1
 
4.5%
21 1
 
4.5%
20 1
 
4.5%
19 1
 
4.5%
18 1
 
4.5%
17 1
 
4.5%
16 1
 
4.5%
15 1
 
4.5%
Other values (12) 12
54.5%
ValueCountFrequency (%)
1 1
4.5%
2 1
4.5%
3 1
4.5%
4 1
4.5%
5 1
4.5%
6 1
4.5%
7 1
4.5%
8 1
4.5%
9 1
4.5%
10 1
4.5%
ValueCountFrequency (%)
22 1
4.5%
21 1
4.5%
20 1
4.5%
19 1
4.5%
18 1
4.5%
17 1
4.5%
16 1
4.5%
15 1
4.5%
14 1
4.5%
13 1
4.5%

종목구분
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-12-13T06:16:54.893503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length4
Mean length3
Min length2

Characters and Unicode

Total characters66
Distinct characters51
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

Unique22 ?
Unique (%)100.0%

Sample

1st row검도
2nd row게이트볼
3rd row국학기공
4th row그라운드골프
5th row농구
ValueCountFrequency (%)
검도 1
 
4.5%
게이트볼 1
 
4.5%
피구 1
 
4.5%
풋살 1
 
4.5%
파크골프 1
 
4.5%
테니스 1
 
4.5%
태권도 1
 
4.5%
탁구 1
 
4.5%
축구 1
 
4.5%
체조 1
 
4.5%
Other values (12) 12
54.5%
2023-12-13T06:16:55.348699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
구 6
 
9.1%
도 3
 
4.5%
기 3
 
4.5%
골 2
 
3.0%
드 2
 
3.0%
무 2
 
3.0%
프 2
 
3.0%
볼 2
 
3.0%
이 2
 
3.0%
줄 1
 
1.5%
Other values (41) 41
62.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 66
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 6
 
9.1%
도 3
 
4.5%
기 3
 
4.5%
골 2
 
3.0%
드 2
 
3.0%
무 2
 
3.0%
프 2
 
3.0%
볼 2
 
3.0%
이 2
 
3.0%
줄 1
 
1.5%
Other values (41) 41
62.1%

Most occurring scripts

ValueCountFrequency (%)
Hangul 66
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 6
 
9.1%
도 3
 
4.5%
기 3
 
4.5%
골 2
 
3.0%
드 2
 
3.0%
무 2
 
3.0%
프 2
 
3.0%
볼 2
 
3.0%
이 2
 
3.0%
줄 1
 
1.5%
Other values (41) 41
62.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 66
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
구 6
 
9.1%
도 3
 
4.5%
기 3
 
4.5%
골 2
 
3.0%
드 2
 
3.0%
무 2
 
3.0%
프 2
 
3.0%
볼 2
 
3.0%
이 2
 
3.0%
줄 1
 
1.5%
Other values (41) 41
62.1%

단체수
Real number (ℝ)

Distinct15
Distinct (%)68.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.5
Minimum7
Maximum86
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2023-12-13T06:16:55.451909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile7
Q18
median11.5
Q322
95-th percentile30.95
Maximum86
Range79
Interquartile range (IQR)14

Descriptive statistics

Standard deviation17.206726
Coefficient of variation (CV)0.93009331
Kurtosis11.667861
Mean18.5
Median Absolute Deviation (MAD)4.5
Skewness3.0880622
Sum407
Variance296.07143
MonotonicityNot monotonic
2023-12-13T06:16:55.556813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
8 4
18.2%
7 3
13.6%
22 2
 
9.1%
9 2
 
9.1%
12 1
 
4.5%
21 1
 
4.5%
10 1
 
4.5%
25 1
 
4.5%
31 1
 
4.5%
30 1
 
4.5%
Other values (5) 5
22.7%
ValueCountFrequency (%)
7 3
13.6%
8 4
18.2%
9 2
9.1%
10 1
 
4.5%
11 1
 
4.5%
12 1
 
4.5%
18 1
 
4.5%
19 1
 
4.5%
21 1
 
4.5%
22 2
9.1%
ValueCountFrequency (%)
86 1
4.5%
31 1
4.5%
30 1
4.5%
29 1
4.5%
25 1
4.5%
22 2
9.1%
21 1
4.5%
19 1
4.5%
18 1
4.5%
12 1
4.5%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
Minimum2023-08-02 00:00:00
Maximum2023-08-02 00:00:00
2023-12-13T06:16:55.669892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:16:55.786571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-13T06:16:54.055102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:16:53.861416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:16:54.154977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:16:53.960058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T06:16:55.877083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번종목구분단체수
연번1.0001.0000.000
종목구분1.0001.0001.000
단체수0.0001.0001.000
2023-12-13T06:16:55.997598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번단체수
연번1.0000.232
단체수0.2321.000

Missing values

2023-12-13T06:16:54.297606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T06:16:54.406222image/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

연번종목구분단체수데이터기준일자
01검도72023-08-02
12게이트볼82023-08-02
23국학기공122023-08-02
34그라운드골프82023-08-02
45농구212023-08-02
56무에타이102023-08-02
67배드민턴252023-08-02
78보디빌딩72023-08-02
89볼링312023-08-02
910생활무용302023-08-02
연번종목구분단체수데이터기준일자
1213줄넘기82023-08-02
1314체조82023-08-02
1415축구222023-08-02
1516탁구72023-08-02
1617태권도862023-08-02
1718테니스182023-08-02
1819파크골프92023-08-02
1920풋살192023-08-02
2021피구292023-08-02
2122합기도92023-08-02