Overview

Dataset statistics

Number of variables7
Number of observations223
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory12.5 KiB
Average record size in memory57.6 B

Variable types

Numeric1
Text3
DateTime2
Categorical1

Dataset

Description대한체육회 국제스포츠 정보센터에서 제공하는 정보임. 국제행사명, 국제행사시작일 국제행사종료일, 국제행사단체, 국제행사장소, 국제행사구분 등의 정보가 있음
Author대한체육회
URLhttps://www.data.go.kr/data/15108399/fileData.do

Alerts

번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 18:02:07.462516
Analysis finished2023-12-12 18:02:08.332604
Duration0.87 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct223
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1281.3498
Minimum13
Maximum3784
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2023-12-13T03:02:08.442885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum13
5-th percentile28.2
Q179.5
median190
Q33576.5
95-th percentile3760.9
Maximum3784
Range3771
Interquartile range (IQR)3497

Descriptive statistics

Standard deviation1664.8541
Coefficient of variation (CV)1.2992972
Kurtosis-1.4565571
Mean1281.3498
Median Absolute Deviation (MAD)128
Skewness0.73931317
Sum285741
Variance2771739.3
MonotonicityStrictly increasing
2023-12-13T03:02:08.673651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13 1
 
0.4%
14 1
 
0.4%
251 1
 
0.4%
252 1
 
0.4%
253 1
 
0.4%
254 1
 
0.4%
256 1
 
0.4%
257 1
 
0.4%
258 1
 
0.4%
259 1
 
0.4%
Other values (213) 213
95.5%
ValueCountFrequency (%)
13 1
0.4%
14 1
0.4%
15 1
0.4%
18 1
0.4%
19 1
0.4%
22 1
0.4%
23 1
0.4%
24 1
0.4%
25 1
0.4%
26 1
0.4%
ValueCountFrequency (%)
3784 1
0.4%
3783 1
0.4%
3782 1
0.4%
3781 1
0.4%
3768 1
0.4%
3767 1
0.4%
3766 1
0.4%
3765 1
0.4%
3764 1
0.4%
3763 1
0.4%

국제행사명
Text

Distinct186
Distinct (%)83.4%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2023-12-13T03:02:09.016200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length65
Median length28
Mean length17.578475
Min length6

Characters and Unicode

Total characters3920
Distinct characters270
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique164 ?
Unique (%)73.5%

Sample

1st rowIOC-INTERPOL 승부조작 방지 워크숍
2nd rowOCA 지역별 포럼
3rd row2017 대만 국제스포츠업무교육과정
4th rowIOC Legacy Workshop
5th row세계마스터즈대회(World Masters Games)
ValueCountFrequency (%)
ioc 41
 
7.2%
anoc 16
 
2.8%
ioc집행위원회 10
 
1.8%
isu 9
 
1.6%
세계선수권대회 9
 
1.6%
fig 8
 
1.4%
집행위원회 7
 
1.2%
총회 6
 
1.1%
wada 6
 
1.1%
ittf 6
 
1.1%
Other values (303) 451
79.3%
2023-12-13T03:02:09.534499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
347
 
8.9%
회 199
 
5.1%
] 167
 
4.3%
[ 167
 
4.3%
I 164
 
4.2%
계 127
 
3.2%
대 126
 
3.2%
세 116
 
3.0%
C 114
 
2.9%
O 111
 
2.8%
Other values (260) 2282
58.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2109
53.8%
Uppercase Letter 799
 
20.4%
Space Separator 347
 
8.9%
Close Punctuation 178
 
4.5%
Open Punctuation 178
 
4.5%
Decimal Number 173
 
4.4%
Lowercase Letter 128
 
3.3%
Other Punctuation 5
 
0.1%
Dash Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
회 199
 
9.4%
계 127
 
6.0%
대 126
 
6.0%
세 116
 
5.5%
수 103
 
4.9%
권 98
 
4.6%
선 98
 
4.6%
제 52
 
2.5%
스 43
 
2.0%
드 37
 
1.8%
Other values (197) 1110
52.6%
Uppercase Letter
ValueCountFrequency (%)
I 164
20.5%
C 114
14.3%
O 111
13.9%
F 83
10.4%
A 82
10.3%
W 37
 
4.6%
N 37
 
4.6%
S 33
 
4.1%
U 30
 
3.8%
G 26
 
3.3%
Other values (13) 82
10.3%
Lowercase Letter
ValueCountFrequency (%)
o 17
13.3%
r 16
12.5%
n 13
10.2%
e 12
9.4%
t 8
 
6.2%
s 8
 
6.2%
c 8
 
6.2%
a 8
 
6.2%
p 6
 
4.7%
d 6
 
4.7%
Other values (12) 26
20.3%
Decimal Number
ValueCountFrequency (%)
2 45
26.0%
1 29
16.8%
0 28
16.2%
3 19
11.0%
8 13
 
7.5%
9 10
 
5.8%
5 10
 
5.8%
4 8
 
4.6%
7 7
 
4.0%
6 4
 
2.3%
Close Punctuation
ValueCountFrequency (%)
] 167
93.8%
) 11
 
6.2%
Open Punctuation
ValueCountFrequency (%)
[ 167
93.8%
( 11
 
6.2%
Other Punctuation
ValueCountFrequency (%)
/ 3
60.0%
& 2
40.0%
Space Separator
ValueCountFrequency (%)
347
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2109
53.8%
Latin 927
23.6%
Common 884
22.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
회 199
 
9.4%
계 127
 
6.0%
대 126
 
6.0%
세 116
 
5.5%
수 103
 
4.9%
권 98
 
4.6%
선 98
 
4.6%
제 52
 
2.5%
스 43
 
2.0%
드 37
 
1.8%
Other values (197) 1110
52.6%
Latin
ValueCountFrequency (%)
I 164
17.7%
C 114
12.3%
O 111
12.0%
F 83
 
9.0%
A 82
 
8.8%
W 37
 
4.0%
N 37
 
4.0%
S 33
 
3.6%
U 30
 
3.2%
G 26
 
2.8%
Other values (35) 210
22.7%
Common
ValueCountFrequency (%)
347
39.3%
] 167
18.9%
[ 167
18.9%
2 45
 
5.1%
1 29
 
3.3%
0 28
 
3.2%
3 19
 
2.1%
8 13
 
1.5%
( 11
 
1.2%
) 11
 
1.2%
Other values (8) 47
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2109
53.8%
ASCII 1811
46.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
347
19.2%
] 167
 
9.2%
[ 167
 
9.2%
I 164
 
9.1%
C 114
 
6.3%
O 111
 
6.1%
F 83
 
4.6%
A 82
 
4.5%
2 45
 
2.5%
W 37
 
2.0%
Other values (53) 494
27.3%
Hangul
ValueCountFrequency (%)
회 199
 
9.4%
계 127
 
6.0%
대 126
 
6.0%
세 116
 
5.5%
수 103
 
4.9%
권 98
 
4.6%
선 98
 
4.6%
제 52
 
2.5%
스 43
 
2.0%
드 37
 
1.8%
Other values (197) 1110
52.6%

국제행사시작일
Date

Distinct212
Distinct (%)95.1%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
Minimum2017-01-29 00:00:00
Maximum2026-09-19 00:00:00
2023-12-13T03:02:09.693263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:02:09.844048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

국제행사종료일
Date

Distinct197
Distinct (%)88.3%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
Minimum2017-02-04 00:00:00
Maximum2026-10-04 00:00:00
2023-12-13T03:02:10.001654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:02:10.179641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

국제행사단체
Text

Distinct63
Distinct (%)28.3%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2023-12-13T03:02:10.377984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length3
Mean length4.5022422
Min length2

Characters and Unicode

Total characters1004
Distinct characters75
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)10.8%

Sample

1st rowIOC, INTERPOL
2nd rowOCA
3rd row대만올림픽위원회
4th row국제올림픽위원회(IOC)
5th rowIMGA
ValueCountFrequency (%)
ioc 52
20.9%
anoc 18
 
7.2%
fig 10
 
4.0%
isu 9
 
3.6%
oca 7
 
2.8%
fisu 6
 
2.4%
ittf 6
 
2.4%
wada 5
 
2.0%
uci 5
 
2.0%
fina 5
 
2.0%
Other values (60) 126
50.6%
2023-12-13T03:02:10.810659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
I 168
16.7%
C 101
 
10.1%
F 90
 
9.0%
O 90
 
9.0%
A 87
 
8.7%
S 41
 
4.1%
W 38
 
3.8%
U 31
 
3.1%
N 26
 
2.6%
26
 
2.6%
Other values (65) 306
30.5%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 777
77.4%
Lowercase Letter 117
 
11.7%
Other Letter 41
 
4.1%
Space Separator 26
 
2.6%
Decimal Number 24
 
2.4%
Open Punctuation 6
 
0.6%
Close Punctuation 6
 
0.6%
Other Punctuation 4
 
0.4%
Dash Punctuation 3
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
회 4
 
9.8%
국 3
 
7.3%
원 3
 
7.3%
위 3
 
7.3%
육 2
 
4.9%
체 2
 
4.9%
한 2
 
4.9%
대 2
 
4.9%
제 2
 
4.9%
올 2
 
4.9%
Other values (14) 16
39.0%
Uppercase Letter
ValueCountFrequency (%)
I 168
21.6%
C 101
13.0%
F 90
11.6%
O 90
11.6%
A 87
11.2%
S 41
 
5.3%
W 38
 
4.9%
U 31
 
4.0%
N 26
 
3.3%
T 19
 
2.4%
Other values (12) 86
11.1%
Lowercase Letter
ValueCountFrequency (%)
o 14
12.0%
r 14
12.0%
c 11
9.4%
l 9
 
7.7%
d 9
 
7.7%
e 9
 
7.7%
t 8
 
6.8%
s 7
 
6.0%
p 6
 
5.1%
i 6
 
5.1%
Other values (8) 24
20.5%
Decimal Number
ValueCountFrequency (%)
2 7
29.2%
0 7
29.2%
8 5
20.8%
1 5
20.8%
Other Punctuation
ValueCountFrequency (%)
/ 2
50.0%
& 1
25.0%
, 1
25.0%
Space Separator
ValueCountFrequency (%)
26
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 894
89.0%
Common 69
 
6.9%
Hangul 41
 
4.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
I 168
18.8%
C 101
11.3%
F 90
10.1%
O 90
10.1%
A 87
9.7%
S 41
 
4.6%
W 38
 
4.3%
U 31
 
3.5%
N 26
 
2.9%
T 19
 
2.1%
Other values (30) 203
22.7%
Hangul
ValueCountFrequency (%)
회 4
 
9.8%
국 3
 
7.3%
원 3
 
7.3%
위 3
 
7.3%
육 2
 
4.9%
체 2
 
4.9%
한 2
 
4.9%
대 2
 
4.9%
제 2
 
4.9%
올 2
 
4.9%
Other values (14) 16
39.0%
Common
ValueCountFrequency (%)
26
37.7%
2 7
 
10.1%
0 7
 
10.1%
( 6
 
8.7%
) 6
 
8.7%
8 5
 
7.2%
1 5
 
7.2%
- 3
 
4.3%
/ 2
 
2.9%
& 1
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 963
95.9%
Hangul 41
 
4.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
I 168
17.4%
C 101
 
10.5%
F 90
 
9.3%
O 90
 
9.3%
A 87
 
9.0%
S 41
 
4.3%
W 38
 
3.9%
U 31
 
3.2%
N 26
 
2.7%
26
 
2.7%
Other values (41) 265
27.5%
Hangul
ValueCountFrequency (%)
회 4
 
9.8%
국 3
 
7.3%
원 3
 
7.3%
위 3
 
7.3%
육 2
 
4.9%
체 2
 
4.9%
한 2
 
4.9%
대 2
 
4.9%
제 2
 
4.9%
올 2
 
4.9%
Other values (14) 16
39.0%

국제행사장소
Text

Distinct145
Distinct (%)65.0%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2023-12-13T03:02:11.174769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length14
Mean length7.5515695
Min length2

Characters and Unicode

Total characters1684
Distinct characters214
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique114 ?
Unique (%)51.1%

Sample

1st row대한민국, 서울
2nd row대한민국, 인천
3rd row대만, 타이베이
4th row스위스 로잔
5th row뉴질랜드, 오클랜드
ValueCountFrequency (%)
스위스 25
 
5.8%
로잔 23
 
5.3%
대한민국 22
 
5.1%
일본 17
 
3.9%
평창 11
 
2.5%
도쿄 10
 
2.3%
중국 9
 
2.1%
독일 9
 
2.1%
러시아 9
 
2.1%
미국 8
 
1.8%
Other values (161) 291
67.1%
2023-12-13T03:02:11.792571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
211
 
12.5%
스 112
 
6.7%
아 54
 
3.2%
, 54
 
3.2%
국 48
 
2.9%
르 46
 
2.7%
리 45
 
2.7%
이 36
 
2.1%
로 33
 
2.0%
일 27
 
1.6%
Other values (204) 1018
60.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1405
83.4%
Space Separator 211
 
12.5%
Other Punctuation 59
 
3.5%
Uppercase Letter 7
 
0.4%
Lowercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 112
 
8.0%
아 54
 
3.8%
국 48
 
3.4%
르 46
 
3.3%
리 45
 
3.2%
이 36
 
2.6%
로 33
 
2.3%
일 27
 
1.9%
대 26
 
1.9%
드 26
 
1.9%
Other values (195) 952
67.8%
Other Punctuation
ValueCountFrequency (%)
, 54
91.5%
/ 4
 
6.8%
& 1
 
1.7%
Uppercase Letter
ValueCountFrequency (%)
A 3
42.9%
E 2
28.6%
U 2
28.6%
Lowercase Letter
ValueCountFrequency (%)
e 1
50.0%
r 1
50.0%
Space Separator
ValueCountFrequency (%)
211
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1405
83.4%
Common 270
 
16.0%
Latin 9
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 112
 
8.0%
아 54
 
3.8%
국 48
 
3.4%
르 46
 
3.3%
리 45
 
3.2%
이 36
 
2.6%
로 33
 
2.3%
일 27
 
1.9%
대 26
 
1.9%
드 26
 
1.9%
Other values (195) 952
67.8%
Latin
ValueCountFrequency (%)
A 3
33.3%
E 2
22.2%
U 2
22.2%
e 1
 
11.1%
r 1
 
11.1%
Common
ValueCountFrequency (%)
211
78.1%
, 54
 
20.0%
/ 4
 
1.5%
& 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1405
83.4%
ASCII 279
 
16.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
211
75.6%
, 54
 
19.4%
/ 4
 
1.4%
A 3
 
1.1%
E 2
 
0.7%
U 2
 
0.7%
e 1
 
0.4%
r 1
 
0.4%
& 1
 
0.4%
Hangul
ValueCountFrequency (%)
스 112
 
8.0%
아 54
 
3.8%
국 48
 
3.4%
르 46
 
3.3%
리 45
 
3.2%
이 36
 
2.6%
로 33
 
2.3%
일 27
 
1.9%
대 26
 
1.9%
드 26
 
1.9%
Other values (195) 952
67.8%

국제행사구분
Categorical

Distinct4
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
종목별국제대회및회의
96 
기타
62 
회의
44 
국제종합대회
21 

Length

Max length10
Median length6
Mean length5.8206278
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
종목별국제대회및회의 96
43.0%
기타 62
27.8%
회의 44
19.7%
국제종합대회 21
 
9.4%

Length

2023-12-13T03:02:11.991582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:02:12.187993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
종목별국제대회및회의 96
43.0%
기타 62
27.8%
회의 44
19.7%
국제종합대회 21
 
9.4%

Interactions

2023-12-13T03:02:07.935180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T03:02:12.659543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호국제행사단체국제행사구분
번호1.0000.2520.662
국제행사단체0.2521.0000.800
국제행사구분0.6620.8001.000
2023-12-13T03:02:12.774403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호국제행사구분
번호1.0000.462
국제행사구분0.4621.000

Missing values

2023-12-13T03:02:08.112979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T03:02:08.269750image/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

번호국제행사명국제행사시작일국제행사종료일국제행사단체국제행사장소국제행사구분
013IOC-INTERPOL 승부조작 방지 워크숍2017-03-172017-03-17IOC, INTERPOL대한민국, 서울기타
114OCA 지역별 포럼2017-03-282017-03-29OCA대한민국, 인천기타
2152017 대만 국제스포츠업무교육과정2017-04-282017-04-30대만올림픽위원회대만, 타이베이기타
318IOC Legacy Workshop2017-03-302017-03-31국제올림픽위원회(IOC)스위스 로잔기타
419세계마스터즈대회(World Masters Games)2017-04-212017-04-30IMGA뉴질랜드, 오클랜드기타
522올림픽 마케팅 세미나(NOC 대상)2017-05-032017-05-05IOC TMS - ANOCUAE, 두바이기타
623WADA 집행위원회2017-05-172017-05-17WADA스위스, 로잔기타
724올림픽 마케팅 세미나(NOC 대상)2017-05-222017-05-24IOC TMS - ANOCUAE, 두바이기타
825올림픽 마케팅 세미나(NOC 대상)2017-06-132017-06-15IOC TMS - ANOC슬로바키아, 사모린기타
926IOC 2024 브리핑2017-07-112017-07-12IOC스위스, 로잔기타
번호국제행사명국제행사시작일국제행사종료일국제행사단체국제행사장소국제행사구분
2133763[FIG] 세계리듬체조선수권대회2022-09-142022-09-18FIG불가리아 소피아종목별국제대회및회의
2143764[FIBA] 여자농구월드컵2022-09-222022-10-01FIBA호주 시드니종목별국제대회및회의
2153765[FIVB] 세계여자배구선수권대회2022-09-232022-10-15FIVB폴란드, 네덜란드종목별국제대회및회의
2163766[FIG] 세계기계체조선수권대회2022-10-292022-11-06FIG영국 리버풀종목별국제대회및회의
2173767[WT] 세계태권도선수권대회2022-11-012022-11-05WT미정종목별국제대회및회의
2183768[FIFA] 카타르월드컵2022-11-212022-12-18FIFA카타르종목별국제대회및회의
2193781[YOG] 제4회 강원 동계청소년올림픽대회2024-01-192024-02-01IOC대한민국 강원도국제종합대회
2203782[OG] 제33회 파리하계올림픽대회2024-07-262024-08-11IOC프랑스 파리국제종합대회
2213783[OG] 제25회 밀라노-코르티나동계올림픽대회2026-02-062026-02-22IOC이탈리아 밀라노, 코르티나담페초국제종합대회
2223784[AG] 제20회 아이치-나고야아시안게임2026-09-192026-10-04OCA일본 아이치, 나고야국제종합대회