Overview

Dataset statistics

Number of variables8
Number of observations249
Missing cells97
Missing cells (%)4.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory16.2 KiB
Average record size in memory66.5 B

Variable types

Numeric2
Categorical1
Text2
DateTime3

Dataset

Description한국체육산업개발 스포츠센터(올림픽수영장, 올림픽스포츠센터, 분당스포츠센터, 일산스포츠센터) 이벤트 정보입니다.
Author한국체육산업개발주식회사
URLhttps://www.data.go.kr/data/15098997/fileData.do

Alerts

일련번호 is highly overall correlated with 이벤트 일련번호High correlation
이벤트 일련번호 is highly overall correlated with 일련번호 and 1 other fieldsHigh correlation
스포츠센터 is highly overall correlated with 이벤트 일련번호High correlation
시작일 has 36 (14.5%) missing valuesMissing
종료일 has 35 (14.1%) missing valuesMissing
연계 홈페이지주소 has 26 (10.4%) missing valuesMissing
일련번호 has unique valuesUnique
이벤트 일련번호 has unique valuesUnique

Reproduction

Analysis started2024-03-14 09:56:28.696634
Analysis finished2024-03-14 09:56:31.081871
Duration2.39 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

일련번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct249
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean125
Minimum1
Maximum249
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2024-03-14T18:56:31.310992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile13.4
Q163
median125
Q3187
95-th percentile236.6
Maximum249
Range248
Interquartile range (IQR)124

Descriptive statistics

Standard deviation72.024301
Coefficient of variation (CV)0.57619441
Kurtosis-1.2
Mean125
Median Absolute Deviation (MAD)62
Skewness0
Sum31125
Variance5187.5
MonotonicityStrictly increasing
2024-03-14T18:56:31.752790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.4%
172 1
 
0.4%
159 1
 
0.4%
160 1
 
0.4%
161 1
 
0.4%
162 1
 
0.4%
163 1
 
0.4%
164 1
 
0.4%
165 1
 
0.4%
166 1
 
0.4%
Other values (239) 239
96.0%
ValueCountFrequency (%)
1 1
0.4%
2 1
0.4%
3 1
0.4%
4 1
0.4%
5 1
0.4%
6 1
0.4%
7 1
0.4%
8 1
0.4%
9 1
0.4%
10 1
0.4%
ValueCountFrequency (%)
249 1
0.4%
248 1
0.4%
247 1
0.4%
246 1
0.4%
245 1
0.4%
244 1
0.4%
243 1
0.4%
242 1
0.4%
241 1
0.4%
240 1
0.4%

이벤트 일련번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct249
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4137.3253
Minimum2954
Maximum7046
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2024-03-14T18:56:32.173252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2954
5-th percentile2967.4
Q13364
median3770
Q34593
95-th percentile6481.2
Maximum7046
Range4092
Interquartile range (IQR)1229

Descriptive statistics

Standard deviation1214.0213
Coefficient of variation (CV)0.29343144
Kurtosis-0.23815422
Mean4137.3253
Median Absolute Deviation (MAD)417
Skewness1.1405027
Sum1030194
Variance1473847.8
MonotonicityNot monotonic
2024-03-14T18:56:32.600819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2979 1
 
0.4%
4596 1
 
0.4%
3393 1
 
0.4%
2956 1
 
0.4%
3784 1
 
0.4%
3785 1
 
0.4%
4589 1
 
0.4%
4602 1
 
0.4%
2971 1
 
0.4%
4603 1
 
0.4%
Other values (239) 239
96.0%
ValueCountFrequency (%)
2954 1
0.4%
2955 1
0.4%
2956 1
0.4%
2957 1
0.4%
2959 1
0.4%
2960 1
0.4%
2961 1
0.4%
2962 1
0.4%
2963 1
0.4%
2964 1
0.4%
ValueCountFrequency (%)
7046 1
0.4%
7036 1
0.4%
7032 1
0.4%
6591 1
0.4%
6559 1
0.4%
6556 1
0.4%
6555 1
0.4%
6550 1
0.4%
6543 1
0.4%
6522 1
0.4%

스포츠센터
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
올림픽스포츠센터
95 
일산스포츠센터
87 
올림픽수영장
44 
분당스포츠센터
23 

Length

Max length8
Median length7
Mean length7.2048193
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row올림픽수영장
2nd row일산스포츠센터
3rd row올림픽수영장
4th row올림픽스포츠센터
5th row올림픽스포츠센터

Common Values

ValueCountFrequency (%)
올림픽스포츠센터 95
38.2%
일산스포츠센터 87
34.9%
올림픽수영장 44
17.7%
분당스포츠센터 23
 
9.2%

Length

2024-03-14T18:56:33.046936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T18:56:33.401334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
올림픽스포츠센터 95
38.2%
일산스포츠센터 87
34.9%
올림픽수영장 44
17.7%
분당스포츠센터 23
 
9.2%

제목
Text

Distinct236
Distinct (%)94.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2024-03-14T18:56:34.503190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length30
Mean length18.947791
Min length5

Characters and Unicode

Total characters4718
Distinct characters350
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique225 ?
Unique (%)90.4%

Sample

1st row9월 회원등록 이벤트
2nd row9월 등록회원 대상 감사이벤트 실시
3rd row2012 런던올림픽 선전기원 이벤트
4th row2012년 런던올림픽 응원 이벤트 안내
5th row2014년 1월 온라인등록 및 설 이벤트
ValueCountFrequency (%)
이벤트 163
 
14.2%
안내 38
 
3.3%
당첨자 35
 
3.1%
발표 32
 
2.8%
온라인 25
 
2.2%
달 22
 
1.9%
5월 21
 
1.8%
· 18
 
1.6%
자동이체 16
 
1.4%
회원 14
 
1.2%
Other values (349) 762
66.5%
2024-03-14T18:56:36.117420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
934
 
19.8%
이 268
 
5.7%
트 200
 
4.2%
벤 196
 
4.2%
월 108
 
2.3%
원 86
 
1.8%
회 80
 
1.7%
자 76
 
1.6%
1 63
 
1.3%
인 58
 
1.2%
Other values (340) 2649
56.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3289
69.7%
Space Separator 934
 
19.8%
Decimal Number 298
 
6.3%
Other Punctuation 68
 
1.4%
Uppercase Letter 64
 
1.4%
Close Punctuation 21
 
0.4%
Open Punctuation 19
 
0.4%
Lowercase Letter 14
 
0.3%
Math Symbol 8
 
0.2%
Dash Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 268
 
8.1%
트 200
 
6.1%
벤 196
 
6.0%
월 108
 
3.3%
원 86
 
2.6%
회 80
 
2.4%
자 76
 
2.3%
인 58
 
1.8%
스 57
 
1.7%
라 56
 
1.7%
Other values (286) 2104
64.0%
Uppercase Letter
ValueCountFrequency (%)
T 6
 
9.4%
C 6
 
9.4%
P 6
 
9.4%
A 6
 
9.4%
O 5
 
7.8%
I 4
 
6.2%
L 4
 
6.2%
S 4
 
6.2%
K 3
 
4.7%
V 3
 
4.7%
Other values (8) 17
26.6%
Decimal Number
ValueCountFrequency (%)
1 63
21.1%
2 58
19.5%
0 44
14.8%
5 25
 
8.4%
9 23
 
7.7%
6 20
 
6.7%
3 20
 
6.7%
8 19
 
6.4%
7 14
 
4.7%
4 12
 
4.0%
Other Punctuation
ValueCountFrequency (%)
· 27
39.7%
! 17
25.0%
, 11
16.2%
. 5
 
7.4%
" 2
 
2.9%
' 2
 
2.9%
/ 2
 
2.9%
* 2
 
2.9%
Lowercase Letter
ValueCountFrequency (%)
h 3
21.4%
p 2
14.3%
t 2
14.3%
i 2
14.3%
n 2
14.3%
o 1
 
7.1%
y 1
 
7.1%
a 1
 
7.1%
Close Punctuation
ValueCountFrequency (%)
) 18
85.7%
」 2
 
9.5%
] 1
 
4.8%
Math Symbol
ValueCountFrequency (%)
> 3
37.5%
< 3
37.5%
~ 2
25.0%
Open Punctuation
ValueCountFrequency (%)
( 18
94.7%
[ 1
 
5.3%
Space Separator
ValueCountFrequency (%)
934
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3289
69.7%
Common 1351
28.6%
Latin 78
 
1.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 268
 
8.1%
트 200
 
6.1%
벤 196
 
6.0%
월 108
 
3.3%
원 86
 
2.6%
회 80
 
2.4%
자 76
 
2.3%
인 58
 
1.8%
스 57
 
1.7%
라 56
 
1.7%
Other values (286) 2104
64.0%
Common
ValueCountFrequency (%)
934
69.1%
1 63
 
4.7%
2 58
 
4.3%
0 44
 
3.3%
· 27
 
2.0%
5 25
 
1.9%
9 23
 
1.7%
6 20
 
1.5%
3 20
 
1.5%
8 19
 
1.4%
Other values (18) 118
 
8.7%
Latin
ValueCountFrequency (%)
T 6
 
7.7%
C 6
 
7.7%
P 6
 
7.7%
A 6
 
7.7%
O 5
 
6.4%
I 4
 
5.1%
L 4
 
5.1%
S 4
 
5.1%
K 3
 
3.8%
V 3
 
3.8%
Other values (16) 31
39.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3288
69.7%
ASCII 1400
29.7%
None 29
 
0.6%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
934
66.7%
1 63
 
4.5%
2 58
 
4.1%
0 44
 
3.1%
5 25
 
1.8%
9 23
 
1.6%
6 20
 
1.4%
3 20
 
1.4%
8 19
 
1.4%
) 18
 
1.3%
Other values (42) 176
 
12.6%
Hangul
ValueCountFrequency (%)
이 268
 
8.2%
트 200
 
6.1%
벤 196
 
6.0%
월 108
 
3.3%
원 86
 
2.6%
회 80
 
2.4%
자 76
 
2.3%
인 58
 
1.8%
스 57
 
1.7%
라 56
 
1.7%
Other values (285) 2103
64.0%
None
ValueCountFrequency (%)
· 27
93.1%
」 2
 
6.9%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%

시작일
Date

MISSING 

Distinct188
Distinct (%)88.3%
Missing36
Missing (%)14.5%
Memory size2.1 KiB
Minimum2010-08-20 00:00:00
Maximum2023-12-11 00:00:00
2024-03-14T18:56:36.537025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T18:56:36.954978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

종료일
Date

MISSING 

Distinct172
Distinct (%)80.4%
Missing35
Missing (%)14.1%
Memory size2.1 KiB
Minimum2010-08-30 00:00:00
Maximum2023-12-31 00:00:00
2024-03-14T18:56:37.356154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T18:56:37.789184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

연계 홈페이지주소
Text

MISSING 

Distinct211
Distinct (%)94.6%
Missing26
Missing (%)10.4%
Memory size2.1 KiB
2024-03-14T18:56:38.717535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length72
Median length70
Mean length68.569507
Min length51

Characters and Unicode

Total characters15291
Distinct characters41
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique207 ?
Unique (%)92.8%

Sample

1st rowhttps://www.ksponco.or.kr/attachFiles/gallery/0025/1447298857106.jpg
2nd rowhttps://www.ksponco.or.kr/attachFiles/gallery/0009/1447403216834.jpg
3rd rowhttps://www.ksponco.or.kr/attachFiles/gallery/0025/1447298870293.jpg
4th rowhttps://www.ksponco.or.kr/attachFiles/gallery/0026/1447396675398.jpg
5th rowhttps://www.ksponco.or.kr/attachFiles/gallery/0026/1447396659838.jpg
ValueCountFrequency (%)
https://www.ksponco.or.kr/attachfiles/gallery/0026/result 6
 
2.7%
https://www.ksponco.or.kr/attachfiles/gallery/0009 4
 
1.8%
https://www.ksponco.or.kr/attachfiles/gallery/0009/result 4
 
1.8%
https://www.ksponco.or.kr/attachfiles/gallery/0012 2
 
0.9%
https://www.ksponco.or.kr/attachfiles/gallery/0009/155074573860200.png 1
 
0.4%
https://www.ksponco.or.kr/attachfiles/gallery/0009/155377044558200.png 1
 
0.4%
https://www.ksponco.or.kr/attachfiles/gallery/0009/155410808554400.png 1
 
0.4%
https://www.ksponco.or.kr/attachfiles/gallery/0012/154148753323800.jpg 1
 
0.4%
https://www.ksponco.or.kr/attachfiles/gallery/0009/154198708948900.jpg 1
 
0.4%
https://www.ksponco.or.kr/attachfiles/gallery/0026/154198588635100.jpg 1
 
0.4%
Other values (201) 201
90.1%
2024-03-14T18:56:40.008731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 1338
 
8.8%
0 1088
 
7.1%
t 892
 
5.8%
. 875
 
5.7%
r 669
 
4.4%
s 669
 
4.4%
w 669
 
4.4%
o 669
 
4.4%
l 669
 
4.4%
a 669
 
4.4%
Other values (31) 7084
46.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 8637
56.5%
Decimal Number 3920
25.6%
Other Punctuation 2436
 
15.9%
Uppercase Letter 298
 
1.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 892
10.3%
r 669
 
7.7%
s 669
 
7.7%
w 669
 
7.7%
o 669
 
7.7%
l 669
 
7.7%
a 669
 
7.7%
p 645
 
7.5%
e 446
 
5.2%
h 446
 
5.2%
Other values (8) 2194
25.4%
Decimal Number
ValueCountFrequency (%)
0 1088
27.8%
1 439
11.2%
2 413
 
10.5%
4 371
 
9.5%
6 314
 
8.0%
5 312
 
8.0%
9 291
 
7.4%
7 272
 
6.9%
3 224
 
5.7%
8 196
 
5.0%
Uppercase Letter
ValueCountFrequency (%)
F 223
74.8%
L 11
 
3.7%
T 11
 
3.7%
U 11
 
3.7%
S 11
 
3.7%
E 11
 
3.7%
R 11
 
3.7%
J 3
 
1.0%
P 3
 
1.0%
G 3
 
1.0%
Other Punctuation
ValueCountFrequency (%)
/ 1338
54.9%
. 875
35.9%
: 223
 
9.2%

Most occurring scripts

ValueCountFrequency (%)
Latin 8935
58.4%
Common 6356
41.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 892
 
10.0%
r 669
 
7.5%
s 669
 
7.5%
w 669
 
7.5%
o 669
 
7.5%
l 669
 
7.5%
a 669
 
7.5%
p 645
 
7.2%
e 446
 
5.0%
h 446
 
5.0%
Other values (18) 2492
27.9%
Common
ValueCountFrequency (%)
/ 1338
21.1%
0 1088
17.1%
. 875
13.8%
1 439
 
6.9%
2 413
 
6.5%
4 371
 
5.8%
6 314
 
4.9%
5 312
 
4.9%
9 291
 
4.6%
7 272
 
4.3%
Other values (3) 643
10.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 15291
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 1338
 
8.8%
0 1088
 
7.1%
t 892
 
5.8%
. 875
 
5.7%
r 669
 
4.4%
s 669
 
4.4%
w 669
 
4.4%
o 669
 
4.4%
l 669
 
4.4%
a 669
 
4.4%
Other values (31) 7084
46.3%

등록일
Date

Distinct226
Distinct (%)90.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
Minimum2010-08-24 00:00:00
Maximum2023-12-29 00:00:00
2024-03-14T18:56:40.354379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T18:56:40.595740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Interactions

2024-03-14T18:56:29.629064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T18:56:29.146532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T18:56:29.869290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T18:56:29.387116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T18:56:40.746684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
일련번호이벤트 일련번호스포츠센터
일련번호1.0000.7560.500
이벤트 일련번호0.7561.0000.972
스포츠센터0.5000.9721.000
2024-03-14T18:56:40.966033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
일련번호이벤트 일련번호스포츠센터
일련번호1.0000.6250.320
이벤트 일련번호0.6251.0000.771
스포츠센터0.3200.7711.000

Missing values

2024-03-14T18:56:30.199879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T18:56:30.621377image/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.
2024-03-14T18:56:30.939551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

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