Overview

Dataset statistics

Number of variables5
Number of observations47
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.0 KiB
Average record size in memory43.8 B

Variable types

Categorical2
Text2
Numeric1

Dataset

Description세종특별자치시에 등록되어 있는 체육회들 현황을 제공합니다.데이터는 구분(정회원단체/준회원단체), 종목, 주소로 구성되어 있습니다.
Author세종특별자치시
URLhttps://www.data.go.kr/data/15038637/fileData.do

Alerts

데이터기준일 has constant value ""Constant
종목 has unique valuesUnique

Reproduction

Analysis started2023-12-16 15:27:59.552971
Analysis finished2023-12-16 15:28:03.720048
Duration4.17 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size508.0 B
정회원단체
40 
준회원단체
7 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
정회원단체 40
85.1%
준회원단체 7
 
14.9%

Length

2023-12-16T15:28:04.185229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T15:28:04.773543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정회원단체 40
85.1%
준회원단체 7
 
14.9%

종목
Text

UNIQUE 

Distinct47
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size508.0 B
2023-12-16T15:28:05.886753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length8
Mean length5.0851064
Min length3

Characters and Unicode

Total characters239
Distinct characters102
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique47 ?
Unique (%)100.0%

Sample

1st row검도회
2nd row게이트볼협회
3rd row골프협회
4th row국학기공협회
5th row궁도협회
ValueCountFrequency (%)
검도회 1
 
2.1%
야구소프트볼협회 1
 
2.1%
유도회 1
 
2.1%
육상연맹 1
 
2.1%
자전거연맹 1
 
2.1%
철인3종협회 1
 
2.1%
체조협회 1
 
2.1%
축구협회 1
 
2.1%
탁구협회 1
 
2.1%
태권도협회 1
 
2.1%
Other values (37) 37
78.7%
2023-12-16T15:28:07.380512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
회 36
 
15.1%
협 33
 
13.8%
맹 10
 
4.2%
연 10
 
4.2%
스 8
 
3.3%
구 7
 
2.9%
도 5
 
2.1%
프 4
 
1.7%
트 3
 
1.3%
이 3
 
1.3%
Other values (92) 120
50.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 238
99.6%
Decimal Number 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
회 36
 
15.1%
협 33
 
13.9%
맹 10
 
4.2%
연 10
 
4.2%
스 8
 
3.4%
구 7
 
2.9%
도 5
 
2.1%
프 4
 
1.7%
트 3
 
1.3%
이 3
 
1.3%
Other values (91) 119
50.0%
Decimal Number
ValueCountFrequency (%)
3 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 238
99.6%
Common 1
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
회 36
 
15.1%
협 33
 
13.9%
맹 10
 
4.2%
연 10
 
4.2%
스 8
 
3.4%
구 7
 
2.9%
도 5
 
2.1%
프 4
 
1.7%
트 3
 
1.3%
이 3
 
1.3%
Other values (91) 119
50.0%
Common
ValueCountFrequency (%)
3 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 237
99.2%
ASCII 1
 
0.4%
Compat Jamo 1
 
0.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
회 36
 
15.2%
협 33
 
13.9%
맹 10
 
4.2%
연 10
 
4.2%
스 8
 
3.4%
구 7
 
3.0%
도 5
 
2.1%
프 4
 
1.7%
트 3
 
1.3%
이 3
 
1.3%
Other values (90) 118
49.8%
ASCII
ValueCountFrequency (%)
3 1
100.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%

우편번호
Real number (ℝ)

Distinct34
Distinct (%)72.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30074.915
Minimum30006
Maximum30151
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size555.0 B
2023-12-16T15:28:08.059628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum30006
5-th percentile30018
Q130030.5
median30062
Q330122
95-th percentile30149.1
Maximum30151
Range145
Interquartile range (IQR)91.5

Descriptive statistics

Standard deviation47.575491
Coefficient of variation (CV)0.0015818995
Kurtosis-1.5629847
Mean30074.915
Median Absolute Deviation (MAD)38
Skewness0.22245584
Sum1413521
Variance2263.4274
MonotonicityNot monotonic
2023-12-16T15:28:09.132326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
30130 4
 
8.5%
30121 3
 
6.4%
30018 2
 
4.3%
30100 2
 
4.3%
30055 2
 
4.3%
30031 2
 
4.3%
30024 2
 
4.3%
30034 2
 
4.3%
30151 2
 
4.3%
30020 2
 
4.3%
Other values (24) 24
51.1%
ValueCountFrequency (%)
30006 1
2.1%
30016 1
2.1%
30018 2
4.3%
30020 2
4.3%
30024 2
4.3%
30026 1
2.1%
30027 1
2.1%
30029 1
2.1%
30030 1
2.1%
30031 2
4.3%
ValueCountFrequency (%)
30151 2
4.3%
30150 1
 
2.1%
30147 1
 
2.1%
30134 1
 
2.1%
30130 4
8.5%
30129 1
 
2.1%
30128 1
 
2.1%
30123 1
 
2.1%
30121 3
6.4%
30120 1
 
2.1%

주소
Text

Distinct46
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Memory size508.0 B
2023-12-16T15:28:10.188120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length22
Mean length18.276596
Min length14

Characters and Unicode

Total characters859
Distinct characters93
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

Unique45 ?
Unique (%)95.7%

Sample

1st row세종특별자치시 조치원읍 대첩로 116
2nd row세종특별자치시 조치원읍 충현로 30-18
3rd row세종특별자치시 다정중앙로 52
4th row세종특별자치시 연서면 밤나무골길 181-13
5th row세종특별자치시 전의면 오얏고지길 13
ValueCountFrequency (%)
세종특별자치시 47
28.7%
조치원읍 17
 
10.4%
장군면 3
 
1.8%
보듬3로 3
 
1.8%
연서면 3
 
1.8%
한누리대로 3
 
1.8%
14 3
 
1.8%
52 2
 
1.2%
갈매로 2
 
1.2%
마음로 2
 
1.2%
Other values (75) 79
48.2%
2023-12-16T15:28:12.382297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
121
 
14.1%
치 66
 
7.7%
시 50
 
5.8%
세 47
 
5.5%
특 47
 
5.5%
별 47
 
5.5%
자 47
 
5.5%
종 47
 
5.5%
1 39
 
4.5%
로 30
 
3.5%
Other values (83) 318
37.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 590
68.7%
Decimal Number 139
 
16.2%
Space Separator 121
 
14.1%
Dash Punctuation 9
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
치 66
 
11.2%
시 50
 
8.5%
세 47
 
8.0%
특 47
 
8.0%
별 47
 
8.0%
자 47
 
8.0%
종 47
 
8.0%
로 30
 
5.1%
원 20
 
3.4%
조 19
 
3.2%
Other values (71) 170
28.8%
Decimal Number
ValueCountFrequency (%)
1 39
28.1%
2 22
15.8%
3 16
11.5%
6 16
11.5%
5 13
 
9.4%
0 9
 
6.5%
4 8
 
5.8%
9 6
 
4.3%
7 5
 
3.6%
8 5
 
3.6%
Space Separator
ValueCountFrequency (%)
121
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 590
68.7%
Common 269
31.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
치 66
 
11.2%
시 50
 
8.5%
세 47
 
8.0%
특 47
 
8.0%
별 47
 
8.0%
자 47
 
8.0%
종 47
 
8.0%
로 30
 
5.1%
원 20
 
3.4%
조 19
 
3.2%
Other values (71) 170
28.8%
Common
ValueCountFrequency (%)
121
45.0%
1 39
 
14.5%
2 22
 
8.2%
3 16
 
5.9%
6 16
 
5.9%
5 13
 
4.8%
0 9
 
3.3%
- 9
 
3.3%
4 8
 
3.0%
9 6
 
2.2%
Other values (2) 10
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 590
68.7%
ASCII 269
31.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
121
45.0%
1 39
 
14.5%
2 22
 
8.2%
3 16
 
5.9%
6 16
 
5.9%
5 13
 
4.8%
0 9
 
3.3%
- 9
 
3.3%
4 8
 
3.0%
9 6
 
2.2%
Other values (2) 10
 
3.7%
Hangul
ValueCountFrequency (%)
치 66
 
11.2%
시 50
 
8.5%
세 47
 
8.0%
특 47
 
8.0%
별 47
 
8.0%
자 47
 
8.0%
종 47
 
8.0%
로 30
 
5.1%
원 20
 
3.4%
조 19
 
3.2%
Other values (71) 170
28.8%

데이터기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size508.0 B
2023-12-13
47 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-12-13
2nd row2023-12-13
3rd row2023-12-13
4th row2023-12-13
5th row2023-12-13

Common Values

ValueCountFrequency (%)
2023-12-13 47
100.0%

Length

2023-12-16T15:28:13.206583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T15:28:13.561418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-12-13 47
100.0%

Interactions

2023-12-16T15:28:01.304070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-16T15:28:13.824831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분종목우편번호주소
구분1.0001.0000.0001.000
종목1.0001.0001.0001.000
우편번호0.0001.0001.0001.000
주소1.0001.0001.0001.000
2023-12-16T15:28:14.186524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
우편번호구분
우편번호1.0000.000
구분0.0001.000

Missing values

2023-12-16T15:28:03.010631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-16T15:28:03.478038image/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

구분종목우편번호주소데이터기준일
0정회원단체검도회30030세종특별자치시 조치원읍 대첩로 1162023-12-13
1정회원단체게이트볼협회30134세종특별자치시 조치원읍 충현로 30-182023-12-13
2정회원단체골프협회30123세종특별자치시 다정중앙로 522023-12-13
3정회원단체국학기공협회30046세종특별자치시 연서면 밤나무골길 181-132023-12-13
4정회원단체궁도협회30006세종특별자치시 전의면 오얏고지길 132023-12-13
5정회원단체그라운드골프협회30026세종특별자치시 조치원읍 새내10길 962023-12-13
6정회원단체당구연맹30016세종특별자치시 조치원읍 섭골길 652023-12-13
7정회원단체레슬링협회30024세종특별자치시 조치원읍 조치원7길 732023-12-13
8정회원단체롤러스포츠연맹30099세종특별자치시 달빛1로 3112023-12-13
9정회원단체댄스스포츠연맹30128세종특별자치시 나성북1로 222023-12-13
구분종목우편번호주소데이터기준일
37정회원단체보디빌딩협회30024세종특별자치시 조치원읍 조치원5길 12-192023-12-13
38정회원단체에어로빅연맹30151세종특별자치시 시청대로 1152023-12-13
39정회원단체바둑협회30129세종특별자치시 나성로 412023-12-13
40준회원단체농구협회30055세종특별자치시 장군면 봉안고개길 272023-12-13
41준회원단체스키협회30100세종특별자치시 아름동 보듬3로2023-12-13
42준회원단체킥복싱협회30018세종특별자치시 조치원읍 충현로2282023-12-13
43준회원단체줄넘기협회30130세종특별자치시 누리로 542023-12-13
44준회원단체공공스포츠클럽30063세종특별자치시 마음로 642023-12-13
45준회원단체택견회30098세종특별자치시 보듬3로 8-202023-12-13
46준회원단체합기도협회30031세종특별자치시 조치원읍 도원2로392023-12-13