Overview

Dataset statistics

Number of variables21
Number of observations536
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory98.0 KiB
Average record size in memory187.2 B

Variable types

Categorical7
Numeric13
Text1

Dataset

Description2021년도 경륜선수 성적정보안내(년도,선수번호,선수명,등급,출주회차수,출주일수,1위횟수,승률1위,2위횟수,연대율,3위횟수,3연대율,4위횟수,5위횟수,6위횟수,7위횟수,8위횟수,9위횟수,실격,낙차포기,고장포기)
Author부산지방공단스포원
URLhttps://www.data.go.kr/data/3057024/fileData.do

Alerts

년도 has constant value ""Constant
8착 수 has constant value ""Constant
9착 수 has constant value ""Constant
실격 수 is highly imbalanced (83.3%)Imbalance
낙차 포기 수 is highly imbalanced (70.0%)Imbalance
고장 포기 수 is highly imbalanced (95.6%)Imbalance
선수번호 has unique valuesUnique
선수이름 has unique valuesUnique
1착 수 has 260 (48.5%) zerosZeros
승률 has 260 (48.5%) zerosZeros
2착 수 has 184 (34.3%) zerosZeros
연대율 has 152 (28.4%) zerosZeros
3착 수 has 157 (29.3%) zerosZeros
삼연대율 has 88 (16.4%) zerosZeros
4착 수 has 143 (26.7%) zerosZeros
5착 수 has 130 (24.3%) zerosZeros
6착 수 has 136 (25.4%) zerosZeros
7착 수 has 163 (30.4%) zerosZeros

Reproduction

Analysis started2023-12-12 08:59:48.650494
Analysis finished2023-12-12 08:59:48.914525
Duration0.26 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

년도
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
2021
536 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021
2nd row2021
3rd row2021
4th row2021
5th row2021

Common Values

ValueCountFrequency (%)
2021 536
100.0%

Length

2023-12-12T17:59:48.974421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:59:49.058454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021 536
100.0%

선수번호
Real number (ℝ)

UNIQUE 

Distinct536
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20080862
Minimum19940020
Maximum20210022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-12-12T17:59:49.151214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19940020
5-th percentile19980024
Q120030064
median20070010
Q320130017
95-th percentile20190015
Maximum20210022
Range270002
Interquartile range (IQR)99953.75

Descriptive statistics

Standard deviation67376.443
Coefficient of variation (CV)0.0033552565
Kurtosis-0.81188483
Mean20080862
Median Absolute Deviation (MAD)49962.5
Skewness0.20028659
Sum1.0763342 × 1010
Variance4.5395851 × 109
MonotonicityStrictly increasing
2023-12-12T17:59:49.284843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19940020 1
 
0.2%
20110006 1
 
0.2%
20110021 1
 
0.2%
20110020 1
 
0.2%
20110019 1
 
0.2%
20110018 1
 
0.2%
20110017 1
 
0.2%
20110016 1
 
0.2%
20110015 1
 
0.2%
20110014 1
 
0.2%
Other values (526) 526
98.1%
ValueCountFrequency (%)
19940020 1
0.2%
19940031 1
0.2%
19940050 1
0.2%
19940051 1
0.2%
19940083 1
0.2%
19940093 1
0.2%
19940102 1
0.2%
19950029 1
0.2%
19950030 1
0.2%
19950051 1
0.2%
ValueCountFrequency (%)
20210022 1
0.2%
20210021 1
0.2%
20210020 1
0.2%
20210019 1
0.2%
20210018 1
0.2%
20210017 1
0.2%
20210016 1
0.2%
20210015 1
0.2%
20210014 1
0.2%
20210013 1
0.2%

선수이름
Text

UNIQUE 

Distinct536
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
2023-12-12T17:59:49.630501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length3.0130597
Min length3

Characters and Unicode

Total characters1615
Distinct characters162
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique536 ?
Unique (%)100.0%

Sample

1st row허은회
2nd row김용대
3rd row서우승
4th row신양우
5th row신용수
ValueCountFrequency (%)
정 2
 
0.4%
윤현준 1
 
0.2%
서한글 1
 
0.2%
신은섭 1
 
0.2%
원신재 1
 
0.2%
유성철 1
 
0.2%
윤여범 1
 
0.2%
윤창호 1
 
0.2%
이진웅 1
 
0.2%
황무현 1
 
0.2%
Other values (532) 532
98.0%
2023-12-12T17:59:50.212054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 124
 
7.7%
이 71
 
4.4%
정 51
 
3.2%
성 50
 
3.1%
진 42
 
2.6%
박 41
 
2.5%
현 38
 
2.4%
영 36
 
2.2%
호 35
 
2.2%
재 34
 
2.1%
Other values (152) 1093
67.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1601
99.1%
Space Separator 14
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 124
 
7.7%
이 71
 
4.4%
정 51
 
3.2%
성 50
 
3.1%
진 42
 
2.6%
박 41
 
2.6%
현 38
 
2.4%
영 36
 
2.2%
호 35
 
2.2%
재 34
 
2.1%
Other values (151) 1079
67.4%
Space Separator
ValueCountFrequency (%)
14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1601
99.1%
Common 14
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 124
 
7.7%
이 71
 
4.4%
정 51
 
3.2%
성 50
 
3.1%
진 42
 
2.6%
박 41
 
2.6%
현 38
 
2.4%
영 36
 
2.2%
호 35
 
2.2%
재 34
 
2.1%
Other values (151) 1079
67.4%
Common
ValueCountFrequency (%)
14
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1601
99.1%
ASCII 14
 
0.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 124
 
7.7%
이 71
 
4.4%
정 51
 
3.2%
성 50
 
3.1%
진 42
 
2.6%
박 41
 
2.6%
현 38
 
2.4%
영 36
 
2.2%
호 35
 
2.2%
재 34
 
2.1%
Other values (151) 1079
67.4%
ASCII
ValueCountFrequency (%)
14
100.0%

등급
Categorical

Distinct10
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
A1
76 
A2
76 
A3
75 
B2
73 
B1
71 
Other values (5)
165 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowB1
2nd rowB2
3rd rowB3
4th rowA3
5th rowB1

Common Values

ValueCountFrequency (%)
A1 76
14.2%
A2 76
14.2%
A3 75
14.0%
B2 73
13.6%
B1 71
13.2%
B3 65
12.1%
S3 32
6.0%
S2 32
6.0%
S1 31
5.8%
SS 5
 
0.9%

Length

2023-12-12T17:59:50.364698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:59:50.545045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
a1 76
14.2%
a2 76
14.2%
a3 75
14.0%
b2 73
13.6%
b1 71
13.2%
b3 65
12.1%
s3 32
6.0%
s2 32
6.0%
s1 31
5.8%
ss 5
 
0.9%

출주 수
Real number (ℝ)

Distinct34
Distinct (%)6.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.5018657
Minimum1
Maximum18
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-12-12T17:59:50.681084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median3
Q312
95-th percentile17.5
Maximum18
Range17
Interquartile range (IQR)10

Descriptive statistics

Standard deviation6.0973409
Coefficient of variation (CV)0.93778328
Kurtosis-0.90405153
Mean6.5018657
Median Absolute Deviation (MAD)1
Skewness0.92960065
Sum3485
Variance37.177567
MonotonicityNot monotonic
2023-12-12T17:59:50.822887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
2.0 186
34.7%
3.0 125
23.3%
17.0 33
 
6.2%
1.0 24
 
4.5%
16.0 21
 
3.9%
18.0 19
 
3.5%
16.5 18
 
3.4%
17.5 15
 
2.8%
6.5 7
 
1.3%
15.0 7
 
1.3%
Other values (24) 81
15.1%
ValueCountFrequency (%)
1.0 24
 
4.5%
2.0 186
34.7%
2.5 1
 
0.2%
3.0 125
23.3%
3.5 1
 
0.2%
4.0 3
 
0.6%
4.5 2
 
0.4%
5.0 3
 
0.6%
5.5 6
 
1.1%
6.0 3
 
0.6%
ValueCountFrequency (%)
18.0 19
3.5%
17.5 15
2.8%
17.0 33
6.2%
16.5 18
3.4%
16.0 21
3.9%
15.5 6
 
1.1%
15.0 7
 
1.3%
14.5 4
 
0.7%
14.0 5
 
0.9%
13.5 1
 
0.2%

츨주일수
Real number (ℝ)

Distinct53
Distinct (%)9.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.731343
Minimum1
Maximum58
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-12-12T17:59:50.971670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q16
median9
Q337
95-th percentile54
Maximum58
Range57
Interquartile range (IQR)31

Descriptive statistics

Standard deviation18.722435
Coefficient of variation (CV)0.94886771
Kurtosis-0.8679122
Mean19.731343
Median Absolute Deviation (MAD)3
Skewness0.94520593
Sum10576
Variance350.52956
MonotonicityNot monotonic
2023-12-12T17:59:51.150795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 171
31.9%
9 121
22.6%
3 21
 
3.9%
50 19
 
3.5%
52 18
 
3.4%
53 16
 
3.0%
49 15
 
2.8%
55 12
 
2.2%
54 9
 
1.7%
46 8
 
1.5%
Other values (43) 126
23.5%
ValueCountFrequency (%)
1 2
 
0.4%
3 21
 
3.9%
4 5
 
0.9%
5 2
 
0.4%
6 171
31.9%
7 5
 
0.9%
8 8
 
1.5%
9 121
22.6%
10 1
 
0.2%
11 1
 
0.2%
ValueCountFrequency (%)
58 1
 
0.2%
57 1
 
0.2%
56 6
 
1.1%
55 12
2.2%
54 9
1.7%
53 16
3.0%
52 18
3.4%
51 6
 
1.1%
50 19
3.5%
49 15
2.8%

1착 수
Real number (ℝ)

ZEROS 

Distinct31
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.8395522
Minimum0
Maximum42
Zeros260
Zeros (%)48.5%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-12-12T17:59:51.367029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile15
Maximum42
Range42
Interquartile range (IQR)3

Descriptive statistics

Standard deviation5.5177202
Coefficient of variation (CV)1.9431656
Kurtosis11.821985
Mean2.8395522
Median Absolute Deviation (MAD)1
Skewness3.1429696
Sum1522
Variance30.445236
MonotonicityNot monotonic
2023-12-12T17:59:51.509018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
0 260
48.5%
1 88
 
16.4%
2 44
 
8.2%
3 30
 
5.6%
5 15
 
2.8%
4 14
 
2.6%
7 10
 
1.9%
6 9
 
1.7%
8 9
 
1.7%
10 8
 
1.5%
Other values (21) 49
 
9.1%
ValueCountFrequency (%)
0 260
48.5%
1 88
 
16.4%
2 44
 
8.2%
3 30
 
5.6%
4 14
 
2.6%
5 15
 
2.8%
6 9
 
1.7%
7 10
 
1.9%
8 9
 
1.7%
9 6
 
1.1%
ValueCountFrequency (%)
42 1
 
0.2%
33 1
 
0.2%
31 1
 
0.2%
29 1
 
0.2%
28 2
0.4%
27 1
 
0.2%
26 1
 
0.2%
23 1
 
0.2%
22 3
0.6%
21 1
 
0.2%

승률
Real number (ℝ)

ZEROS 

Distinct54
Distinct (%)10.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.141791
Minimum0
Maximum98
Zeros260
Zeros (%)48.5%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-12-12T17:59:51.663585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q318
95-th percentile50
Maximum98
Range98
Interquartile range (IQR)18

Descriptive statistics

Standard deviation17.709347
Coefficient of variation (CV)1.4585449
Kurtosis3.2249724
Mean12.141791
Median Absolute Deviation (MAD)2
Skewness1.7907447
Sum6508
Variance313.62098
MonotonicityNot monotonic
2023-12-12T17:59:51.824883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 260
48.5%
17 32
 
6.0%
33 31
 
5.8%
11 23
 
4.3%
22 18
 
3.4%
2 18
 
3.4%
4 12
 
2.2%
6 8
 
1.5%
5 7
 
1.3%
10 7
 
1.3%
Other values (44) 120
22.4%
ValueCountFrequency (%)
0 260
48.5%
2 18
 
3.4%
3 1
 
0.2%
4 12
 
2.2%
5 7
 
1.3%
6 8
 
1.5%
7 5
 
0.9%
8 4
 
0.7%
9 6
 
1.1%
10 7
 
1.3%
ValueCountFrequency (%)
98 1
 
0.2%
89 1
 
0.2%
87 1
 
0.2%
83 1
 
0.2%
78 1
 
0.2%
67 6
1.1%
63 2
 
0.4%
61 1
 
0.2%
58 1
 
0.2%
57 1
 
0.2%

2착 수
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.8190299
Minimum0
Maximum21
Zeros184
Zeros (%)34.3%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-12-12T17:59:52.018665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q34
95-th percentile11
Maximum21
Range21
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.9229604
Coefficient of variation (CV)1.3915995
Kurtosis3.5206639
Mean2.8190299
Median Absolute Deviation (MAD)1
Skewness1.9202049
Sum1511
Variance15.389618
MonotonicityNot monotonic
2023-12-12T17:59:52.199911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 184
34.3%
1 107
20.0%
2 70
 
13.1%
3 40
 
7.5%
4 23
 
4.3%
7 17
 
3.2%
11 16
 
3.0%
6 14
 
2.6%
5 14
 
2.6%
8 10
 
1.9%
Other values (11) 41
 
7.6%
ValueCountFrequency (%)
0 184
34.3%
1 107
20.0%
2 70
 
13.1%
3 40
 
7.5%
4 23
 
4.3%
5 14
 
2.6%
6 14
 
2.6%
7 17
 
3.2%
8 10
 
1.9%
9 8
 
1.5%
ValueCountFrequency (%)
21 1
 
0.2%
20 2
 
0.4%
18 1
 
0.2%
17 1
 
0.2%
16 3
 
0.6%
15 3
 
0.6%
14 5
 
0.9%
13 2
 
0.4%
12 8
1.5%
11 16
3.0%

연대율
Real number (ℝ)

ZEROS 

Distinct75
Distinct (%)14.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.541045
Minimum0
Maximum100
Zeros152
Zeros (%)28.4%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-12-12T17:59:52.371701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median17
Q344
95-th percentile78
Maximum100
Range100
Interquartile range (IQR)44

Descriptive statistics

Standard deviation25.568859
Coefficient of variation (CV)1.001089
Kurtosis-0.2726651
Mean25.541045
Median Absolute Deviation (MAD)17
Skewness0.83759888
Sum13690
Variance653.76654
MonotonicityNot monotonic
2023-12-12T17:59:52.548207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 152
28.4%
33 46
 
8.6%
17 39
 
7.3%
67 28
 
5.2%
50 21
 
3.9%
22 19
 
3.5%
11 16
 
3.0%
4 16
 
3.0%
78 11
 
2.1%
56 10
 
1.9%
Other values (65) 178
33.2%
ValueCountFrequency (%)
0 152
28.4%
2 4
 
0.7%
4 16
 
3.0%
5 1
 
0.2%
6 6
 
1.1%
7 4
 
0.7%
8 4
 
0.7%
9 7
 
1.3%
10 3
 
0.6%
11 16
 
3.0%
ValueCountFrequency (%)
100 4
 
0.7%
98 1
 
0.2%
95 1
 
0.2%
86 2
 
0.4%
84 1
 
0.2%
83 6
1.1%
82 1
 
0.2%
81 1
 
0.2%
78 11
2.1%
75 2
 
0.4%

3착 수
Real number (ℝ)

ZEROS 

Distinct17
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.8134328
Minimum0
Maximum16
Zeros157
Zeros (%)29.3%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-12-12T17:59:52.697065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q34
95-th percentile10.25
Maximum16
Range16
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.4660822
Coefficient of variation (CV)1.2319762
Kurtosis1.6133607
Mean2.8134328
Median Absolute Deviation (MAD)1
Skewness1.5096876
Sum1508
Variance12.013726
MonotonicityNot monotonic
2023-12-12T17:59:52.836806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 157
29.3%
1 128
23.9%
2 62
 
11.6%
3 39
 
7.3%
6 26
 
4.9%
4 23
 
4.3%
5 19
 
3.5%
9 19
 
3.5%
7 16
 
3.0%
8 12
 
2.2%
Other values (7) 35
 
6.5%
ValueCountFrequency (%)
0 157
29.3%
1 128
23.9%
2 62
 
11.6%
3 39
 
7.3%
4 23
 
4.3%
5 19
 
3.5%
6 26
 
4.9%
7 16
 
3.0%
8 12
 
2.2%
9 19
 
3.5%
ValueCountFrequency (%)
16 1
 
0.2%
15 3
 
0.6%
14 4
 
0.7%
13 3
 
0.6%
12 5
 
0.9%
11 11
2.1%
10 8
1.5%
9 19
3.5%
8 12
2.2%
7 16
3.0%

삼연대율
Real number (ℝ)

ZEROS 

Distinct83
Distinct (%)15.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38.847015
Minimum0
Maximum100
Zeros88
Zeros (%)16.4%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-12-12T17:59:53.033762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q116.75
median33
Q367
95-th percentile84.25
Maximum100
Range100
Interquartile range (IQR)50.25

Descriptive statistics

Standard deviation28.82527
Coefficient of variation (CV)0.7420202
Kurtosis-1.1118992
Mean38.847015
Median Absolute Deviation (MAD)23
Skewness0.23587199
Sum20822
Variance830.89618
MonotonicityNot monotonic
2023-12-12T17:59:53.191310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 88
16.4%
67 48
 
9.0%
17 39
 
7.3%
33 37
 
6.9%
50 31
 
5.8%
22 23
 
4.3%
11 19
 
3.5%
83 17
 
3.2%
56 16
 
3.0%
78 12
 
2.2%
Other values (73) 206
38.4%
ValueCountFrequency (%)
0 88
16.4%
2 1
 
0.2%
3 1
 
0.2%
4 4
 
0.7%
5 1
 
0.2%
9 1
 
0.2%
10 4
 
0.7%
11 19
 
3.5%
12 3
 
0.6%
13 4
 
0.7%
ValueCountFrequency (%)
100 8
1.5%
98 1
 
0.2%
95 3
 
0.6%
94 1
 
0.2%
92 1
 
0.2%
91 3
 
0.6%
89 8
1.5%
87 1
 
0.2%
85 1
 
0.2%
84 3
 
0.6%

4착 수
Real number (ℝ)

ZEROS 

Distinct18
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.8376866
Minimum0
Maximum18
Zeros143
Zeros (%)26.7%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-12-12T17:59:53.318489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q34
95-th percentile11
Maximum18
Range18
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.5810714
Coefficient of variation (CV)1.2619686
Kurtosis3.2015004
Mean2.8376866
Median Absolute Deviation (MAD)1
Skewness1.8314742
Sum1521
Variance12.824072
MonotonicityNot monotonic
2023-12-12T17:59:53.436587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 143
26.7%
1 129
24.1%
2 81
15.1%
3 41
 
7.6%
4 27
 
5.0%
6 20
 
3.7%
5 19
 
3.5%
8 19
 
3.5%
9 13
 
2.4%
7 8
 
1.5%
Other values (8) 36
 
6.7%
ValueCountFrequency (%)
0 143
26.7%
1 129
24.1%
2 81
15.1%
3 41
 
7.6%
4 27
 
5.0%
5 19
 
3.5%
6 20
 
3.7%
7 8
 
1.5%
8 19
 
3.5%
9 13
 
2.4%
ValueCountFrequency (%)
18 3
 
0.6%
16 3
 
0.6%
15 4
 
0.7%
14 1
 
0.2%
13 4
 
0.7%
12 7
 
1.3%
11 7
 
1.3%
10 7
 
1.3%
9 13
2.4%
8 19
3.5%

5착 수
Real number (ℝ)

ZEROS 

Distinct19
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.7929104
Minimum0
Maximum18
Zeros130
Zeros (%)24.3%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-12-12T17:59:53.558680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q34
95-th percentile10.25
Maximum18
Range18
Interquartile range (IQR)3

Descriptive statistics

Standard deviation3.4375641
Coefficient of variation (CV)1.2308179
Kurtosis3.2991188
Mean2.7929104
Median Absolute Deviation (MAD)1
Skewness1.8392221
Sum1497
Variance11.816847
MonotonicityNot monotonic
2023-12-12T17:59:53.698092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
1 137
25.6%
0 130
24.3%
2 89
16.6%
3 44
 
8.2%
4 29
 
5.4%
8 21
 
3.9%
7 18
 
3.4%
5 13
 
2.4%
6 12
 
2.2%
9 11
 
2.1%
Other values (9) 32
 
6.0%
ValueCountFrequency (%)
0 130
24.3%
1 137
25.6%
2 89
16.6%
3 44
 
8.2%
4 29
 
5.4%
5 13
 
2.4%
6 12
 
2.2%
7 18
 
3.4%
8 21
 
3.9%
9 11
 
2.1%
ValueCountFrequency (%)
18 2
 
0.4%
17 1
 
0.2%
16 2
 
0.4%
15 2
 
0.4%
14 2
 
0.4%
13 4
 
0.7%
12 5
0.9%
11 9
1.7%
10 5
0.9%
9 11
2.1%

6착 수
Real number (ℝ)

ZEROS 

Distinct20
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.7723881
Minimum0
Maximum19
Zeros136
Zeros (%)25.4%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-12-12T17:59:53.838984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q33
95-th percentile11
Maximum19
Range19
Interquartile range (IQR)3

Descriptive statistics

Standard deviation3.5054647
Coefficient of variation (CV)1.2644207
Kurtosis3.867552
Mean2.7723881
Median Absolute Deviation (MAD)1
Skewness1.9745621
Sum1486
Variance12.288283
MonotonicityNot monotonic
2023-12-12T17:59:53.970017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 136
25.4%
1 129
24.1%
2 85
15.9%
3 57
10.6%
4 26
 
4.9%
5 21
 
3.9%
9 13
 
2.4%
8 13
 
2.4%
6 13
 
2.4%
11 9
 
1.7%
Other values (10) 34
 
6.3%
ValueCountFrequency (%)
0 136
25.4%
1 129
24.1%
2 85
15.9%
3 57
10.6%
4 26
 
4.9%
5 21
 
3.9%
6 13
 
2.4%
7 8
 
1.5%
8 13
 
2.4%
9 13
 
2.4%
ValueCountFrequency (%)
19 1
 
0.2%
18 1
 
0.2%
17 2
 
0.4%
16 1
 
0.2%
15 4
0.7%
14 1
 
0.2%
13 6
1.1%
12 7
1.3%
11 9
1.7%
10 3
 
0.6%

7착 수
Real number (ℝ)

ZEROS 

Distinct22
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.7052239
Minimum0
Maximum22
Zeros163
Zeros (%)30.4%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-12-12T17:59:54.098647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile11
Maximum22
Range22
Interquartile range (IQR)3

Descriptive statistics

Standard deviation3.8328207
Coefficient of variation (CV)1.416822
Kurtosis6.2431889
Mean2.7052239
Median Absolute Deviation (MAD)1
Skewness2.3917619
Sum1450
Variance14.690515
MonotonicityNot monotonic
2023-12-12T17:59:54.245983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0 163
30.4%
1 118
22.0%
2 78
14.6%
3 58
 
10.8%
5 21
 
3.9%
4 21
 
3.9%
6 13
 
2.4%
7 10
 
1.9%
9 9
 
1.7%
8 9
 
1.7%
Other values (12) 36
 
6.7%
ValueCountFrequency (%)
0 163
30.4%
1 118
22.0%
2 78
14.6%
3 58
 
10.8%
4 21
 
3.9%
5 21
 
3.9%
6 13
 
2.4%
7 10
 
1.9%
8 9
 
1.7%
9 9
 
1.7%
ValueCountFrequency (%)
22 1
 
0.2%
21 1
 
0.2%
20 2
 
0.4%
19 2
 
0.4%
17 2
 
0.4%
16 4
0.7%
15 5
0.9%
14 2
 
0.4%
13 2
 
0.4%
12 4
0.7%

8착 수
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
0
536 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 536
100.0%

Length

2023-12-12T17:59:54.411930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:59:54.531252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 536
100.0%

9착 수
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
0
536 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 536
100.0%

Length

2023-12-12T17:59:54.631207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:59:54.731639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 536
100.0%

실격 수
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
0
506 
1
 
28
<NA>
 
1
2
 
1

Length

Max length4
Median length1
Mean length1.005597
Min length1

Unique

Unique2 ?
Unique (%)0.4%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 506
94.4%
1 28
 
5.2%
<NA> 1
 
0.2%
2 1
 
0.2%

Length

2023-12-12T17:59:54.857208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:59:54.984672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 506
94.4%
1 28
 
5.2%
na 1
 
0.2%
2 1
 
0.2%

낙차 포기 수
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
0
485 
1
49 
2
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row1
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 485
90.5%
1 49
 
9.1%
2 2
 
0.4%

Length

2023-12-12T17:59:55.103631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:59:55.208841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 485
90.5%
1 49
 
9.1%
2 2
 
0.4%

고장 포기 수
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
0
532 
1
 
3
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 532
99.3%
1 3
 
0.6%
2 1
 
0.2%

Length

2023-12-12T17:59:55.384057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:59:55.484524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 532
99.3%
1 3
 
0.6%
2 1
 
0.2%

Sample

년도선수번호선수이름등급출주 수츨주일수1착 수승률2착 수연대율3착 수삼연대율4착 수5착 수6착 수7착 수8착 수9착 수실격 수낙차 포기 수고장 포기 수
0202119940020허은회B13.09222244267111000000
1202119940031김용대B23.090000222330100000
2202119940050서우승B317.053003631166191500010
3202119940051신양우A32.060000117113000000
4202119940083신용수B12.0600117250210000000
5202119940093장보규A12.06117133267010100000
6202119940102신우삼B13.09222467289100000000
7202119950029임권빈B24.01200217017313300000
8202119950030이경태B36.51915321126232700000
9202119950051정성기B33.09000000123300000
년도선수번호선수이름등급출주 수츨주일수1착 수승률2착 수연대율3착 수삼연대율4착 수5착 수6착 수7착 수8착 수9착 수실격 수낙차 포기 수고장 포기 수
526202120210013배수철A33.0933361000100000000000
527202120210014윤승규B110.532928853775321200000
528202120210015윤우신B110.529724645562135200000
529202120210016이인우B110.532722950669721000000
530202120210017이지훈B29.02727319330853200110
531202120210018이태운A112.0371335857468424100010
532202120210019장지웅B23.090000222033100000
533202120210020전경호B15.516956375394100000000
534202120210021정지민B110.5321134756572223200000
535202120210022정현수A115.04692011431372243300010