gimi9 Pandas Profiling

Dataset statistics

Number of variables	73
Number of observations	100
Missing cells	1589
Missing cells (%)	21.8%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	61.8 KiB
Average record size in memory	633.3 B

Variable types

Categorical	27
Numeric	21
DateTime	1
Text	12
Unsupported	12

Dataset

Description	Sample
Author	국민체육진흥공단
URL	https://www.bigdata-culture.kr/bigdata/user/data_market/detail.do?id=962c9cbc-ea25-4bcb-a70e-b86346717edb

Alerts

`meet` has constant value ""	Constant
`day1_stg` is highly imbalanced (74.1%)	Imbalance
`day2_stg` is highly imbalanced (76.6%)	Imbalance
`day3_stg` is highly imbalanced (91.9%)	Imbalance
`bf1_day1_stg` is highly imbalanced (65.4%)	Imbalance
`bf1_day2_stg` is highly imbalanced (69.6%)	Imbalance
`bf1_day3_stg` is highly imbalanced (61.9%)	Imbalance
`bf2_day1_stg` is highly imbalanced (69.3%)	Imbalance
`bf2_day2_stg` is highly imbalanced (63.2%)	Imbalance
`bf2_day3_stg` is highly imbalanced (57.5%)	Imbalance
`bf3_day1_stg` is highly imbalanced (63.9%)	Imbalance
`bf3_day2_stg` is highly imbalanced (66.8%)	Imbalance
`bf3_day3_stg` is highly imbalanced (70.8%)	Imbalance
`high_3_rate` has 9 (9.0%) missing values	Missing
`win_tot_cnt` has 20 (20.0%) missing values	Missing
`run_day_cnt` has 21 (21.0%) missing values	Missing
`pre_win_cnt` has 20 (20.0%) missing values	Missing
`pas_win_cnt` has 20 (20.0%) missing values	Missing
`brk_win_cnt` has 20 (20.0%) missing values	Missing
`mrk_win_cnt` has 20 (20.0%) missing values	Missing
`bf1_day1_dt` has 20 (20.0%) missing values	Missing
`bf2_day1_dt` has 20 (20.0%) missing values	Missing
`bf2_day1_rank` has 20 (20.0%) missing values	Missing
`bf2_day2_rank` has 20 (20.0%) missing values	Missing
`bf2_day3_rank` has 20 (20.0%) missing values	Missing
`bf3_day1_dt` has 20 (20.0%) missing values	Missing
`bf3_day1_rank` has 20 (20.0%) missing values	Missing
`bf3_day2_rank` has 20 (20.0%) missing values	Missing
`bf3_day3_rank` has 100 (100.0%) missing values	Missing
`day4_rank` has 98 (98.0%) missing values	Missing
`bf1_day5_rank` has 100 (100.0%) missing values	Missing
`bf2_day5_rank` has 100 (100.0%) missing values	Missing
`bf3_day5_rank` has 100 (100.0%) missing values	Missing
`day4_stg` has 100 (100.0%) missing values	Missing
`day5_stg` has 100 (100.0%) missing values	Missing
`bf1_day4_stg` has 100 (100.0%) missing values	Missing
`bf1_day5_stg` has 100 (100.0%) missing values	Missing
`bf2_day4_stg` has 100 (100.0%) missing values	Missing
`bf2_day5_stg` has 100 (100.0%) missing values	Missing
`bf3_day4_stg` has 100 (100.0%) missing values	Missing
`bf3_day5_stg` has 100 (100.0%) missing values	Missing
`bf3_day3_rank` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`bf1_day5_rank` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`bf2_day5_rank` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`bf3_day5_rank` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`day4_stg` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`day5_stg` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`bf1_day4_stg` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`bf1_day5_stg` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`bf2_day4_stg` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`bf2_day5_stg` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`bf3_day4_stg` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`bf3_day5_stg` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`win_rate` has 51 (51.0%) zeros	Zeros
`high_rate` has 24 (24.0%) zeros	Zeros
`high_3_rate` has 7 (7.0%) zeros	Zeros
`win_tot_cnt` has 2 (2.0%) zeros	Zeros
`pre_win_cnt` has 37 (37.0%) zeros	Zeros
`pas_win_cnt` has 28 (28.0%) zeros	Zeros
`brk_win_cnt` has 18 (18.0%) zeros	Zeros
`mrk_win_cnt` has 6 (6.0%) zeros	Zeros

Reproduction

Analysis started	2023-12-10 10:13:41.899143
Analysis finished	2023-12-10 10:13:43.345193
Duration	1.45 second
Software version	ydata-profiling vv4.5.1
Download configuration	config.json

meet
Categorical

CONSTANT

Distinct	1
Distinct (%)	1.0%
Missing	0
Missing (%)	0.0%
Memory size	932.0 B

광명	100

Length

Max length	4
Median length	4
Mean length	4
Min length	4

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	광명
2nd row	광명
3rd row	광명
4th row	광명
5th row	광명

Common Values

Value	Count	Frequency (%)
광명	100	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
광명	100	100.0%

stnd_year
Real number (ℝ)

Distinct	6
Distinct (%)	6.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2013.3

Minimum	2003
Maximum	2020
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.0 KiB

Quantile statistics

Minimum	2003
5-th percentile	2003
Q1	2015
median	2016
Q3	2016
95-th percentile	2016
Maximum	2020
Range	17
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	5.0722059
Coefficient of variation (CV)	0.0025193493
Kurtosis	0.07641729
Mean	2013.3
Median Absolute Deviation (MAD)	0
Skewness	-1.3437826
Sum	201330
Variance	25.727273
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
2016	53	53.0%
2015	23	23.0%
2004	11	11.0%
2003	9	9.0%
2020	3	3.0%
2006	1	1.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2003	9	9.0%
2004	11	11.0%
2006	1	1.0%
2015	23	23.0%
2016	53	53.0%
2020	3	3.0%

Value	Count	Frequency (%)
2020	3	3.0%
2016	53	53.0%
2015	23	23.0%
2006	1	1.0%
2004	11	11.0%
2003	9	9.0%

tms
Real number (ℝ)

Distinct	38
Distinct (%)	38.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	21.02

Minimum	1
Maximum	50
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.0 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	6.75
median	15
Q3	36.25
95-th percentile	48.05
Maximum	50
Range	49
Interquartile range (IQR)	29.5

Descriptive statistics

Standard deviation	16.619922
Coefficient of variation (CV)	0.79067185
Kurtosis	-1.4257545
Mean	21.02
Median Absolute Deviation (MAD)	13
Skewness	0.34089792
Sum	2102
Variance	276.22182
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=38)

Value	Count	Frequency (%)
9	9	9.0%
3	9	9.0%
1	7	7.0%
39	6	6.0%
2	4	4.0%
8	4	4.0%
7	4	4.0%
50	4	4.0%
48	4	4.0%
15	3	3.0%
Other values (28)	46	46.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	7	7.0%
2	4	4.0%
3	9	9.0%
4	1	1.0%
5	1	1.0%
6	3	3.0%
7	4	4.0%
8	4	4.0%
9	9	9.0%
10	2	2.0%

Value	Count	Frequency (%)
50	4	4.0%
49	1	1.0%
48	4	4.0%
47	1	1.0%
45	1	1.0%
44	1	1.0%
42	1	1.0%
40	3	3.0%
39	6	6.0%
38	2	2.0%

day_ord
Categorical

Distinct	3
Distinct (%)	3.0%
Missing	0
Missing (%)	0.0%
Memory size	932.0 B

1	35
3	34
2	31

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

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

Common Values

Value	Count	Frequency (%)
1	35	35.0%
3	34	34.0%
2	31	31.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	35	35.0%
3	34	34.0%
2	31	31.0%

race_dt
Date

Distinct	72
Distinct (%)	72.0%
Missing	0
Missing (%)	0.0%
Memory size	932.0 B

Minimum	2003-03-08 00:00:00
Maximum	2020-02-09 00:00:00

Histogram

Histogram with fixed size bins (bins=50)

race_no
Real number (ℝ)

Distinct	14
Distinct (%)	14.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	6.26

Minimum	1
Maximum	14
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.0 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	2
median	6
Q3	10
95-th percentile	14
Maximum	14
Range	13
Interquartile range (IQR)	8

Descriptive statistics

Standard deviation	4.2631141
Coefficient of variation (CV)	0.68100863
Kurtosis	-1.1647189
Mean	6.26
Median Absolute Deviation (MAD)	4
Skewness	0.3529134
Sum	626
Variance	18.174141
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=14)

Value	Count	Frequency (%)
1	19	19.0%
4	8	8.0%
5	8	8.0%
7	8	8.0%
6	8	8.0%
2	7	7.0%
10	7	7.0%
12	7	7.0%
3	7	7.0%
14	6	6.0%
Other values (4)	15	15.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	19	19.0%
2	7	7.0%
3	7	7.0%
4	8	8.0%
5	8	8.0%
6	8	8.0%
7	8	8.0%
8	3	3.0%
9	3	3.0%
10	7	7.0%

Value	Count	Frequency (%)
14	6	6.0%
13	4	4.0%
12	7	7.0%
11	5	5.0%
10	7	7.0%
9	3	3.0%
8	3	3.0%
7	8	8.0%
6	8	8.0%
5	8	8.0%

back_no
Real number (ℝ)

Distinct	7
Distinct (%)	7.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.61

Minimum	1
Maximum	7
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.0 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	2
median	3
Q3	5.25
95-th percentile	7
Maximum	7
Range	6
Interquartile range (IQR)	3.25

Descriptive statistics

Standard deviation	2.039484
Coefficient of variation (CV)	0.56495401
Kurtosis	-1.3803924
Mean	3.61
Median Absolute Deviation (MAD)	2
Skewness	0.22444313
Sum	361
Variance	4.1594949
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
2	24	24.0%
1	18	18.0%
6	16	16.0%
5	14	14.0%
3	10	10.0%
4	9	9.0%
7	9	9.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	18	18.0%
2	24	24.0%
3	10	10.0%
4	9	9.0%
5	14	14.0%
6	16	16.0%
7	9	9.0%

Value	Count	Frequency (%)
7	9	9.0%
6	16	16.0%
5	14	14.0%
4	9	9.0%
3	10	10.0%
2	24	24.0%
1	18	18.0%

color
Categorical

Distinct	7
Distinct (%)	7.0%
Missing	0
Missing (%)	0.0%
Memory size	932.0 B

흑	24
백	18
녹	16
황	14
적	10
Other values (2)	18

Length

Max length	2
Median length	1
Mean length	1.09
Min length	1

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	백
2nd row	적
3rd row	흑
4th row	흑
5th row	황

Common Values

Value	Count	Frequency (%)
흑	24	24.0%
백	18	18.0%
녹	16	16.0%
황	14	14.0%
적	10	10.0%
청	9	9.0%
분홍	9	9.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
흑	24	24.0%
백	18	18.0%
녹	16	16.0%
황	14	14.0%
적	10	10.0%
청	9	9.0%
분홍	9	9.0%

racer_nm
Text

Distinct	90
Distinct (%)	90.0%
Missing	0
Missing (%)	0.0%
Memory size	932.0 B

Length

Max length	4
Median length	3
Mean length	3.02
Min length	3

Characters and Unicode

Total characters	302
Distinct characters	96
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	84 ?
Unique (%)	84.0%

Sample

1st row	최원재
2nd row	안성민
3rd row	김담현
4th row	이승주
5th row	엄정일

Value	Count	Frequency (%)
권언호	5	4.9%
김용해	3	2.9%
한상헌	2	2.0%
원종배	2	2.0%
이형재	2	2.0%
이유진	2	2.0%
오진우	1	1.0%
최원재	1	1.0%
조영근	1	1.0%
김승영	1	1.0%
Other values (82)	82	80.4%

Most occurring characters

Value	Count	Frequency (%)
김	17	5.6%
이	16	5.3%
호	12	4.0%
정	10	3.3%
진	10	3.3%
재	8	2.6%
성	8	2.6%
영	8	2.6%
승	8	2.6%
원	7	2.3%
Other values (86)	198	65.6%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	298	98.7%
Space Separator	4	1.3%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
김	17	5.7%
이	16	5.4%
호	12	4.0%
정	10	3.4%
진	10	3.4%
재	8	2.7%
성	8	2.7%
영	8	2.7%
승	8	2.7%
원	7	2.3%
Other values (85)	194	65.1%

Space Separator

Value	Count	Frequency (%)
	4	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	298	98.7%
Common	4	1.3%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
김	17	5.7%
이	16	5.4%
호	12	4.0%
정	10	3.4%
진	10	3.4%
재	8	2.7%
성	8	2.7%
영	8	2.7%
승	8	2.7%
원	7	2.3%
Other values (85)	194	65.1%

Common

Value	Count	Frequency (%)
	4	100.0%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	298	98.7%
ASCII	4	1.3%

Most frequent character per block

Hangul

Value	Count	Frequency (%)
김	17	5.7%
이	16	5.4%
호	12	4.0%
정	10	3.4%
진	10	3.4%
재	8	2.7%
성	8	2.7%
영	8	2.7%
승	8	2.7%
원	7	2.3%
Other values (85)	194	65.1%

ASCII

Value	Count	Frequency (%)
	4	100.0%

period_no
Real number (ℝ)

Distinct	17
Distinct (%)	17.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	10.59

Minimum	1
Maximum	20
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.0 KiB

Quantile statistics

Minimum	1
5-th percentile	3.9
Q1	7
median	10
Q3	14
95-th percentile	19
Maximum	20
Range	19
Interquartile range (IQR)	7

Descriptive statistics

Standard deviation	4.5440493
Coefficient of variation (CV)	0.42908869
Kurtosis	-0.40024178
Mean	10.59
Median Absolute Deviation (MAD)	3
Skewness	0.15447951
Sum	1059
Variance	20.648384
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=17)

Value	Count	Frequency (%)
7	13	13.0%
12	10	10.0%
9	10	10.0%
11	9	9.0%
10	9	9.0%
17	7	7.0%
14	7	7.0%
6	5	5.0%
4	5	5.0%
8	5	5.0%
Other values (7)	20	20.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	2	2.0%
2	3	3.0%
4	5	5.0%
6	5	5.0%
7	13	13.0%
8	5	5.0%
9	10	10.0%
10	9	9.0%
11	9	9.0%
12	10	10.0%

Value	Count	Frequency (%)
20	3	3.0%
19	4	4.0%
17	7	7.0%
16	2	2.0%
15	4	4.0%
14	7	7.0%
13	2	2.0%
12	10	10.0%
11	9	9.0%
10	9	9.0%

age
Real number (ℝ)

Distinct	26
Distinct (%)	26.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	35.34

Minimum	23
Maximum	51
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.0 KiB

Quantile statistics

Minimum	23
5-th percentile	26.95
Q1	31
median	35
Q3	38.25
95-th percentile	46.05
Maximum	51
Range	28
Interquartile range (IQR)	7.25

Descriptive statistics

Standard deviation	6.1220251
Coefficient of variation (CV)	0.17323218
Kurtosis	-0.0037323183
Mean	35.34
Median Absolute Deviation (MAD)	4
Skewness	0.49087518
Sum	3534
Variance	37.479192
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=26)

Value	Count	Frequency (%)
34	10	10.0%
35	9	9.0%
38	7	7.0%
37	7	7.0%
33	6	6.0%
27	6	6.0%
31	6	6.0%
36	5	5.0%
46	4	4.0%
29	4	4.0%
Other values (16)	36	36.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
23	1	1.0%
25	1	1.0%
26	3	3.0%
27	6	6.0%
28	4	4.0%
29	4	4.0%
30	3	3.0%
31	6	6.0%
32	3	3.0%
33	6	6.0%

Value	Count	Frequency (%)
51	2	2.0%
50	1	1.0%
48	1	1.0%
47	1	1.0%
46	4	4.0%
45	2	2.0%
43	2	2.0%
42	1	1.0%
41	3	3.0%
40	4	4.0%

gear_rate
Real number (ℝ)

Distinct	6
Distinct (%)	6.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.8338

Minimum	3.5
Maximum	3.93
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.0 KiB

Quantile statistics

Minimum	3.5
5-th percentile	3.5665
Q1	3.85
median	3.92
Q3	3.92
95-th percentile	3.92
Maximum	3.93
Range	0.43
Interquartile range (IQR)	0.07

Descriptive statistics

Standard deviation	0.14779716
Coefficient of variation (CV)	0.038551087
Kurtosis	0.12800094
Mean	3.8338
Median Absolute Deviation (MAD)	0
Skewness	-1.3965727
Sum	383.38
Variance	0.021844
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
3.92	63	63.0%
3.57	16	16.0%
3.85	10	10.0%
3.5	5	5.0%
3.86	4	4.0%
3.93	2	2.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
3.5	5	5.0%
3.57	16	16.0%
3.85	10	10.0%
3.86	4	4.0%
3.92	63	63.0%
3.93	2	2.0%

Value	Count	Frequency (%)
3.93	2	2.0%
3.92	63	63.0%
3.86	4	4.0%
3.85	10	10.0%
3.57	16	16.0%
3.5	5	5.0%

rec_200m
Text

Distinct	73
Distinct (%)	73.0%
Missing	0
Missing (%)	0.0%
Memory size	932.0 B

Length

Max length	5
Median length	5
Mean length	5
Min length	5

Characters and Unicode

Total characters	500
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	53 ?
Unique (%)	53.0%

Sample

1st row	11"90
2nd row	11"71
3rd row	11"50
4th row	11"47
5th row	11"14

Value	Count	Frequency (%)
11"62	3	3.0%
11"39	3	3.0%
11"79	3	3.0%
11"58	3	3.0%
11"61	3	3.0%
11"47	3	3.0%
11"27	3	3.0%
11"57	2	2.0%
11"42	2	2.0%
11"90	2	2.0%
Other values (63)	73	73.0%

Most occurring characters

Value	Count	Frequency (%)
1	193	38.6%
"	100	20.0%
2	44	8.8%
7	26	5.2%
5	26	5.2%
0	25	5.0%
4	20	4.0%
6	19	3.8%
9	18	3.6%
8	17	3.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	400	80.0%
Other Punctuation	100	20.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	193	48.2%
2	44	11.0%
7	26	6.5%
5	26	6.5%
0	25	6.2%
4	20	5.0%
6	19	4.8%
9	18	4.5%
8	17	4.2%
3	12	3.0%

Other Punctuation

Value	Count	Frequency (%)
"	100	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	500	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	193	38.6%
"	100	20.0%
2	44	8.8%
7	26	5.2%
5	26	5.2%
0	25	5.0%
4	20	4.0%
6	19	3.8%
9	18	3.6%
8	17	3.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	500	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	193	38.6%
"	100	20.0%
2	44	8.8%
7	26	5.2%
5	26	5.2%
0	25	5.0%
4	20	4.0%
6	19	3.8%
9	18	3.6%
8	17	3.4%

trng_plc
Categorical

Distinct	35
Distinct (%)	35.0%
Missing	0
Missing (%)	0.0%
Memory size	932.0 B

인천	11
부산	10
팔당	9
유성	5
인천개인	5
Other values (30)	60

Length

Max length	4
Median length	2
Mean length	2.28
Min length	2

Unique

Unique	14 ?
Unique (%)	14.0%

Sample

1st row	전주
2nd row	부산
3rd row	춘천
4th row	유성
5th row	양주

Common Values

Value	Count	Frequency (%)
인천	11	11.0%
부산	10	10.0%
팔당	9	9.0%
유성	5	5.0%
인천개인	5	5.0%
가평	5	5.0%
창원	5	5.0%
광명	4	4.0%
전주	3	3.0%
양주	3	3.0%
Other values (25)	40	40.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
인천	11	11.0%
부산	10	10.0%
팔당	9	9.0%
유성	5	5.0%
인천개인	5	5.0%
가평	5	5.0%
창원	5	5.0%
광명	4	4.0%
대구	3	3.0%
세종	3	3.0%
Other values (25)	40	40.0%

win_rate
Real number (ℝ)

ZEROS

Distinct	27
Distinct (%)	27.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	9.96

Minimum	0
Maximum	100
Zeros	51
Zeros (%)	51.0%
Negative	0
Negative (%)	0.0%
Memory size	1.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	17
95-th percentile	48.1
Maximum	100
Range	100
Interquartile range (IQR)	17

Descriptive statistics

Standard deviation	16.702338
Coefficient of variation (CV)	1.6769415
Kurtosis	9.1808916
Mean	9.96
Median Absolute Deviation (MAD)	0
Skewness	2.6688108
Sum	996
Variance	278.96808
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=27)

Value	Count	Frequency (%)
0	51	51.0%
17	7	7.0%
6	4	4.0%
22	3	3.0%
11	3	3.0%
9	3	3.0%
3	3	3.0%
50	3	3.0%
8	3	3.0%
4	2	2.0%
Other values (17)	18	18.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	51	51.0%
2	1	1.0%
3	3	3.0%
4	2	2.0%
5	1	1.0%
6	4	4.0%
7	1	1.0%
8	3	3.0%
9	3	3.0%
11	3	3.0%

Value	Count	Frequency (%)
100	1	1.0%
67	1	1.0%
50	3	3.0%
48	1	1.0%
43	1	1.0%
35	1	1.0%
33	1	1.0%
31	1	1.0%
28	1	1.0%
26	1	1.0%

high_rate
Real number (ℝ)

ZEROS

Distinct	37
Distinct (%)	37.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	20.95

Minimum	0
Maximum	100
Zeros	24
Zeros (%)	24.0%
Negative	0
Negative (%)	0.0%
Memory size	1.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	2
median	17
Q3	33
95-th percentile	67.1
Maximum	100
Range	100
Interquartile range (IQR)	31

Descriptive statistics

Standard deviation	22.591397
Coefficient of variation (CV)	1.0783483
Kurtosis	2.2512889
Mean	20.95
Median Absolute Deviation (MAD)	16
Skewness	1.4922507
Sum	2095
Variance	510.37121
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=37)

Value	Count	Frequency (%)
0	24	24.0%
33	8	8.0%
17	6	6.0%
11	5	5.0%
50	4	4.0%
8	4	4.0%
22	3	3.0%
18	3	3.0%
25	3	3.0%
5	3	3.0%
Other values (27)	37	37.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	24	24.0%
2	2	2.0%
3	1	1.0%
5	3	3.0%
6	2	2.0%
7	2	2.0%
8	4	4.0%
9	2	2.0%
10	1	1.0%
11	5	5.0%

Value	Count	Frequency (%)
100	2	2.0%
83	1	1.0%
76	1	1.0%
69	1	1.0%
67	2	2.0%
60	1	1.0%
57	1	1.0%
50	4	4.0%
43	1	1.0%
42	1	1.0%

high_3_rate
Real number (ℝ)

MISSING ZEROS

Distinct	43
Distinct (%)	47.3%
Missing	9
Missing (%)	9.0%
Infinite	0
Infinite (%)	0.0%
Mean	34.175824

Minimum	0
Maximum	100
Zeros	7
Zeros (%)	7.0%
Negative	0
Negative (%)	0.0%
Memory size	1.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	17
median	33
Q3	50
95-th percentile	83
Maximum	100
Range	100
Interquartile range (IQR)	33

Descriptive statistics

Standard deviation	24.167744
Coefficient of variation (CV)	0.70715907
Kurtosis	0.38235761
Mean	34.175824
Median Absolute Deviation (MAD)	16
Skewness	0.82822736
Sum	3110
Variance	584.07985
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=43)

Value	Count	Frequency (%)
33	9	9.0%
0	7	7.0%
50	6	6.0%
22	5	5.0%
13	4	4.0%
17	4	4.0%
8	3	3.0%
38	3	3.0%
26	3	3.0%
44	3	3.0%
Other values (33)	44	44.0%
(Missing)	9	9.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	7	7.0%
3	1	1.0%
5	1	1.0%
6	1	1.0%
8	3	3.0%
10	1	1.0%
11	1	1.0%
13	4	4.0%
16	1	1.0%
17	4	4.0%

Value	Count	Frequency (%)
100	2	2.0%
94	1	1.0%
92	1	1.0%
83	2	2.0%
79	1	1.0%
72	1	1.0%
67	2	2.0%
64	1	1.0%
61	2	2.0%
58	1	1.0%

racer_grd
Categorical

Distinct	4
Distinct (%)	4.0%
Missing	0
Missing (%)	0.0%
Memory size	932.0 B

선발	42
우수	24
<NA>	20
특선	14

Length

Max length	4
Median length	2
Mean length	2.4
Min length	2

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	선발
2nd row	선발
3rd row	선발
4th row	선발
5th row	우수

Common Values

Value	Count	Frequency (%)
선발	42	42.0%
우수	24	24.0%
<NA>	20	20.0%
특선	14	14.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
선발	42	42.0%
우수	24	24.0%
na	20	20.0%
특선	14	14.0%

str_tm
Text

Distinct	55
Distinct (%)	55.0%
Missing	0
Missing (%)	0.0%
Memory size	932.0 B

Length

Max length	5
Median length	5
Mean length	5
Min length	5

Characters and Unicode

Total characters	500
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	32 ?
Unique (%)	32.0%

Sample

1st row	13"45
2nd row	14"45
3rd row	15"03
4th row	13"31
5th row	16"30

Value	Count	Frequency (%)
13"48	5	5.0%
14"25	5	5.0%
15"11	5	5.0%
13"39	5	5.0%
15"59	4	4.0%
15"35	3	3.0%
13"16	3	3.0%
16"25	3	3.0%
14"45	3	3.0%
18"38	3	3.0%
Other values (45)	61	61.0%

Most occurring characters

Value	Count	Frequency (%)
1	124	24.8%
"	100	20.0%
5	63	12.6%
4	50	10.0%
3	40	8.0%
0	34	6.8%
8	26	5.2%
2	24	4.8%
6	20	4.0%
9	10	2.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	400	80.0%
Other Punctuation	100	20.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	124	31.0%
5	63	15.8%
4	50	12.5%
3	40	10.0%
0	34	8.5%
8	26	6.5%
2	24	6.0%
6	20	5.0%
9	10	2.5%
7	9	2.2%

Other Punctuation

Value	Count	Frequency (%)
"	100	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	500	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	124	24.8%
"	100	20.0%
5	63	12.6%
4	50	10.0%
3	40	8.0%
0	34	6.8%
8	26	5.2%
2	24	4.8%
6	20	4.0%
9	10	2.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	500	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	124	24.8%
"	100	20.0%
5	63	12.6%
4	50	10.0%
3	40	8.0%
0	34	6.8%
8	26	5.2%
2	24	4.8%
6	20	4.0%
9	10	2.0%

round_cnt
Categorical

Distinct	2
Distinct (%)	2.0%
Missing	0
Missing (%)	0.0%
Memory size	932.0 B

5	79
6	21

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

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

Common Values

Value	Count	Frequency (%)
5	79	79.0%
6	21	21.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
5	79	79.0%
6	21	21.0%

race_len
Categorical

Distinct	2
Distinct (%)	2.0%
Missing	0
Missing (%)	0.0%
Memory size	932.0 B

1691	79
2025	21

Length

Max length	4
Median length	4
Mean length	4
Min length	4

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1691
2nd row	1691
3rd row	1691
4th row	1691
5th row	1691

Common Values

Value	Count	Frequency (%)
1691	79	79.0%
2025	21	21.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1691	79	79.0%
2025	21	21.0%

win_tot_cnt
Real number (ℝ)

MISSING ZEROS

Distinct	29
Distinct (%)	36.2%
Missing	20
Missing (%)	20.0%
Infinite	0
Infinite (%)	0.0%
Mean	13.8125

Minimum	0
Maximum	38
Zeros	2
Zeros (%)	2.0%
Negative	0
Negative (%)	0.0%
Memory size	1.0 KiB

Quantile statistics

Minimum	0
5-th percentile	1.95
Q1	8
median	12.5
Q3	20
95-th percentile	26.05
Maximum	38
Range	38
Interquartile range (IQR)	12

Descriptive statistics

Standard deviation	8.0757392
Coefficient of variation (CV)	0.5846689
Kurtosis	-0.29340299
Mean	13.8125
Median Absolute Deviation (MAD)	6.5
Skewness	0.37561156
Sum	1105
Variance	65.217563
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=29)

Value	Count	Frequency (%)
19	7	7.0%
8	7	7.0%
20	5	5.0%
7	5	5.0%
23	5	5.0%
11	4	4.0%
10	4	4.0%
16	4	4.0%
4	4	4.0%
5	4	4.0%
Other values (19)	31	31.0%
(Missing)	20	20.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	2	2.0%
1	2	2.0%
2	2	2.0%
4	4	4.0%
5	4	4.0%
7	5	5.0%
8	7	7.0%
9	3	3.0%
10	4	4.0%
11	4	4.0%

Value	Count	Frequency (%)
38	1	1.0%
31	1	1.0%
28	1	1.0%
27	1	1.0%
26	2	2.0%
25	1	1.0%
24	1	1.0%
23	5	5.0%
22	2	2.0%
21	1	1.0%

run_day_cnt
Real number (ℝ)

MISSING

Distinct	34
Distinct (%)	43.0%
Missing	21
Missing (%)	21.0%
Infinite	0
Infinite (%)	0.0%
Mean	39.493671

Minimum	9
Maximum	61
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.0 KiB

Quantile statistics

Minimum	9
5-th percentile	22.5
Q1	36
median	39
Q3	45
95-th percentile	55.2
Maximum	61
Range	52
Interquartile range (IQR)	9

Descriptive statistics

Standard deviation	10.095535
Coefficient of variation (CV)	0.25562413
Kurtosis	1.1379795
Mean	39.493671
Median Absolute Deviation (MAD)	6
Skewness	-0.48915459
Sum	3120
Variance	101.91983
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=34)

Value	Count	Frequency (%)
36	10	10.0%
39	8	8.0%
45	8	8.0%
38	5	5.0%
40	5	5.0%
34	4	4.0%
33	3	3.0%
27	3	3.0%
48	2	2.0%
42	2	2.0%
Other values (24)	29	29.0%
(Missing)	21	21.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
9	1	1.0%
11	1	1.0%
16	1	1.0%
18	1	1.0%
23	1	1.0%
24	1	1.0%
27	3	3.0%
30	2	2.0%
32	1	1.0%
33	3	3.0%

Value	Count	Frequency (%)
61	1	1.0%
60	1	1.0%
59	1	1.0%
57	1	1.0%
55	2	2.0%
54	1	1.0%
53	1	1.0%
52	1	1.0%
51	1	1.0%
50	1	1.0%

pre_win_cnt
Real number (ℝ)

MISSING ZEROS

Distinct	17
Distinct (%)	21.2%
Missing	20
Missing (%)	20.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.5

Minimum	0
Maximum	20
Zeros	37
Zeros (%)	37.0%
Negative	0
Negative (%)	0.0%
Memory size	1.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	1
Q3	5
95-th percentile	14.15
Maximum	20
Range	20
Interquartile range (IQR)	5

Descriptive statistics

Standard deviation	5.0965364
Coefficient of variation (CV)	1.4561533
Kurtosis	1.8864786
Mean	3.5
Median Absolute Deviation (MAD)	1
Skewness	1.6311255
Sum	280
Variance	25.974684
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=17)

Value	Count	Frequency (%)
0	37	37.0%
2	8	8.0%
1	6	6.0%
5	5	5.0%
3	4	4.0%
8	3	3.0%
7	3	3.0%
12	2	2.0%
13	2	2.0%
9	2	2.0%
Other values (7)	8	8.0%
(Missing)	20	20.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	37	37.0%
1	6	6.0%
2	8	8.0%
3	4	4.0%
4	1	1.0%
5	5	5.0%
6	1	1.0%
7	3	3.0%
8	3	3.0%
9	2	2.0%

Value	Count	Frequency (%)
20	1	1.0%
18	2	2.0%
17	1	1.0%
14	1	1.0%
13	2	2.0%
12	2	2.0%
11	1	1.0%
9	2	2.0%
8	3	3.0%
7	3	3.0%

pas_win_cnt
Real number (ℝ)

MISSING ZEROS

Distinct	11
Distinct (%)	13.8%
Missing	20
Missing (%)	20.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.25

Minimum	0
Maximum	10
Zeros	28
Zeros (%)	28.0%
Negative	0
Negative (%)	0.0%
Memory size	1.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	1
Q3	4
95-th percentile	7.05
Maximum	10
Range	10
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	2.5283206
Coefficient of variation (CV)	1.123698
Kurtosis	1.1467161
Mean	2.25
Median Absolute Deviation (MAD)	1
Skewness	1.2386718
Sum	180
Variance	6.3924051
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=11)

Value	Count	Frequency (%)
0	28	28.0%
1	13	13.0%
4	10	10.0%
2	9	9.0%
3	7	7.0%
6	4	4.0%
5	4	4.0%
10	2	2.0%
8	1	1.0%
7	1	1.0%
(Missing)	20	20.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	28	28.0%
1	13	13.0%
2	9	9.0%
3	7	7.0%
4	10	10.0%
5	4	4.0%
6	4	4.0%
7	1	1.0%
8	1	1.0%
9	1	1.0%

Value	Count	Frequency (%)
10	2	2.0%
9	1	1.0%
8	1	1.0%
7	1	1.0%
6	4	4.0%
5	4	4.0%
4	10	10.0%
3	7	7.0%
2	9	9.0%
1	13	13.0%

brk_win_cnt
Real number (ℝ)

MISSING ZEROS

Distinct	15
Distinct (%)	18.8%
Missing	20
Missing (%)	20.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.3625

Minimum	0
Maximum	18
Zeros	18
Zeros (%)	18.0%
Negative	0
Negative (%)	0.0%
Memory size	1.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	2
Q3	5.25
95-th percentile	12
Maximum	18
Range	18
Interquartile range (IQR)	4.25

Descriptive statistics

Standard deviation	3.8028762
Coefficient of variation (CV)	1.1309669
Kurtosis	2.9197276
Mean	3.3625
Median Absolute Deviation (MAD)	2
Skewness	1.671514
Sum	269
Variance	14.461867
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=15)

Value	Count	Frequency (%)
0	18	18.0%
1	15	15.0%
2	13	13.0%
6	8	8.0%
4	8	8.0%
3	5	5.0%
9	2	2.0%
7	2	2.0%
12	2	2.0%
8	2	2.0%
Other values (5)	5	5.0%
(Missing)	20	20.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	18	18.0%
1	15	15.0%
2	13	13.0%
3	5	5.0%
4	8	8.0%
5	1	1.0%
6	8	8.0%
7	2	2.0%
8	2	2.0%
9	2	2.0%

Value	Count	Frequency (%)
18	1	1.0%
15	1	1.0%
13	1	1.0%
12	2	2.0%
10	1	1.0%
9	2	2.0%
8	2	2.0%
7	2	2.0%
6	8	8.0%
5	1	1.0%

mrk_win_cnt
Real number (ℝ)

MISSING ZEROS

Distinct	14
Distinct (%)	17.5%
Missing	20
Missing (%)	20.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.7

Minimum	0
Maximum	15
Zeros	6
Zeros (%)	6.0%
Negative	0
Negative (%)	0.0%
Memory size	1.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	2
median	4
Q3	6.25
95-th percentile	11.05
Maximum	15
Range	15
Interquartile range (IQR)	4.25

Descriptive statistics

Standard deviation	3.3954549
Coefficient of variation (CV)	0.72243721
Kurtosis	1.1512134
Mean	4.7
Median Absolute Deviation (MAD)	2
Skewness	0.99688724
Sum	376
Variance	11.529114
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=14)

Value	Count	Frequency (%)
4	13	13.0%
3	10	10.0%
8	9	9.0%
6	8	8.0%
1	8	8.0%
2	8	8.0%
5	7	7.0%
0	6	6.0%
7	3	3.0%
9	3	3.0%
Other values (4)	5	5.0%
(Missing)	20	20.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	6	6.0%
1	8	8.0%
2	8	8.0%
3	10	10.0%
4	13	13.0%
5	7	7.0%
6	8	8.0%
7	3	3.0%
8	9	9.0%
9	3	3.0%

Value	Count	Frequency (%)
15	2	2.0%
14	1	1.0%
12	1	1.0%
11	1	1.0%
9	3	3.0%
8	9	9.0%
7	3	3.0%
6	8	8.0%
5	7	7.0%
4	13	13.0%

racer_grd_cur
Categorical

Distinct	10
Distinct (%)	10.0%
Missing	0
Missing (%)	0.0%
Memory size	932.0 B

<NA>	20
B3	20
B2	13
A3	12
B1	9
Other values (5)	26

Length

Max length	4
Median length	2
Mean length	2.4
Min length	2

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	B1
2nd row	B2
3rd row	B2
4th row	B1
5th row	A1

Common Values

Value	Count	Frequency (%)
<NA>	20	20.0%
B3	20	20.0%
B2	13	13.0%
A3	12	12.0%
B1	9	9.0%
A1	7	7.0%
S3	7	7.0%
A2	5	5.0%
S2	4	4.0%
S1	3	3.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
na	20	20.0%
b3	20	20.0%
b2	13	13.0%
a3	12	12.0%
b1	9	9.0%
a1	7	7.0%
s3	7	7.0%
a2	5	5.0%
s2	4	4.0%
s1	3	3.0%

racer_grd_bef
Categorical

Distinct	10
Distinct (%)	10.0%
Missing	0
Missing (%)	0.0%
Memory size	932.0 B

B3	21
<NA>	20
A1	11
B1	10
A2	10
Other values (5)	28

Length

Max length	4
Median length	2
Mean length	2.4
Min length	2

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	A1
2nd row	B2
3rd row	B1
4th row	A2
5th row	S3

Common Values

Value	Count	Frequency (%)
B3	21	21.0%
<NA>	20	20.0%
A1	11	11.0%
B1	10	10.0%
A2	10	10.0%
B2	9	9.0%
A3	8	8.0%
S3	5	5.0%
S1	4	4.0%
S2	2	2.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
b3	21	21.0%
na	20	20.0%
a1	11	11.0%
b1	10	10.0%
a2	10	10.0%
b2	9	9.0%
a3	8	8.0%
s3	5	5.0%
s1	4	4.0%
s2	2	2.0%

area_tms3_avg_scr
Real number (ℝ)

Distinct	97
Distinct (%)	97.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	88.96798

Minimum	74.39
Maximum	109.53
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.0 KiB

Quantile statistics

Minimum	74.39
5-th percentile	82.10975
Q1	83.825
median	88.2625
Q3	93.329
95-th percentile	99.1465
Maximum	109.53
Range	35.14
Interquartile range (IQR)	9.504

Descriptive statistics

Standard deviation	5.8993269
Coefficient of variation (CV)	0.066308429
Kurtosis	0.54546417
Mean	88.96798
Median Absolute Deviation (MAD)	4.483
Skewness	0.61266966
Sum	8896.798
Variance	34.802058
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
86.93	2	2.0%
82.155	2	2.0%
83.825	2	2.0%
82.814	1	1.0%
94.3	1	1.0%
84.735	1	1.0%
84.104	1	1.0%
94.05	1	1.0%
83.803	1	1.0%
81.469	1	1.0%
Other values (87)	87	87.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
74.39	1	1.0%
79.5	1	1.0%
81.365	1	1.0%
81.469	1	1.0%
81.535	1	1.0%
82.14	1	1.0%
82.155	2	2.0%
82.5	1	1.0%
82.551	1	1.0%
82.749	1	1.0%

Value	Count	Frequency (%)
109.53	1	1.0%
102.948	1	1.0%
101.25	1	1.0%
99.537	1	1.0%
99.46	1	1.0%
99.13	1	1.0%
97.807	1	1.0%
97.769	1	1.0%
97.138	1	1.0%
96.84	1	1.0%

tot_tms_avg_scr
Real number (ℝ)

Distinct	98
Distinct (%)	98.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	89.18254

Minimum	80.893
Maximum	106.44
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.0 KiB

Quantile statistics

Minimum	80.893
5-th percentile	81.64645
Q1	83.87825
median	88.674
Q3	92.83075
95-th percentile	98.64335
Maximum	106.44
Range	25.547
Interquartile range (IQR)	8.9525

Descriptive statistics

Standard deviation	5.7481434
Coefficient of variation (CV)	0.064453685
Kurtosis	-0.15933818
Mean	89.18254
Median Absolute Deviation (MAD)	4.689
Skewness	0.63609855
Sum	8918.254
Variance	33.041152
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
82.266	2	2.0%
82.941	2	2.0%
90.936	1	1.0%
84.243	1	1.0%
83.867	1	1.0%
85.87	1	1.0%
83.864	1	1.0%
95.061	1	1.0%
83.515	1	1.0%
83.159	1	1.0%
Other values (88)	88	88.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
80.893	1	1.0%
81.02	1	1.0%
81.278	1	1.0%
81.546	1	1.0%
81.56	1	1.0%
81.651	1	1.0%
81.816	1	1.0%
82.266	2	2.0%
82.415	1	1.0%
82.941	2	2.0%

Value	Count	Frequency (%)
106.44	1	1.0%
104.887	1	1.0%
100.231	1	1.0%
99.79	1	1.0%
99.22	1	1.0%
98.613	1	1.0%
98.556	1	1.0%
98.46	1	1.0%
98.133	1	1.0%
97.276	1	1.0%

bf1_meet_nm
Categorical

Distinct	4
Distinct (%)	4.0%
Missing	0
Missing (%)	0.0%
Memory size	932.0 B

창	48
부	29
광	22
잠	1

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Unique

Unique	1 ?
Unique (%)	1.0%

Sample

1st row	부
2nd row	광
3rd row	창
4th row	창
5th row	광

Common Values

Value	Count	Frequency (%)
창	48	48.0%
부	29	29.0%
광	22	22.0%
잠	1	1.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
창	48	48.0%
부	29	29.0%
광	22	22.0%
잠	1	1.0%

bf1_day1_dt
Real number (ℝ)

MISSING

Distinct	47
Distinct (%)	58.8%
Missing	20
Missing (%)	20.0%
Infinite	0
Infinite (%)	0.0%
Mean	619.95

Minimum	108
Maximum	1211
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.0 KiB

Quantile statistics

Minimum	108
5-th percentile	122.95
Q1	225
median	715
Q3	912.5
95-th percentile	1202.1
Maximum	1211
Range	1103
Interquartile range (IQR)	687.5

Descriptive statistics

Standard deviation	364.46319
Coefficient of variation (CV)	0.58789126
Kurtosis	-1.4048443
Mean	619.95
Median Absolute Deviation (MAD)	390
Skewness	0.041414695
Sum	49596
Variance	132833.42
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=47)

Value	Count	Frequency (%)
729	7	7.0%
909	4	4.0%
826	4	4.0%
205	4	4.0%
930	3	3.0%
708	3	3.0%
325	3	3.0%
130	3	3.0%
1211	3	3.0%
923	2	2.0%
Other values (37)	44	44.0%
(Missing)	20	20.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
108	1	1.0%
116	1	1.0%
122	2	2.0%
123	1	1.0%
126	1	1.0%
130	3	3.0%
131	1	1.0%
205	4	4.0%
206	2	2.0%
212	2	2.0%

Value	Count	Frequency (%)
1211	3	3.0%
1204	1	1.0%
1202	1	1.0%
1129	1	1.0%
1127	2	2.0%
1125	2	2.0%
1120	1	1.0%
1113	1	1.0%
1028	1	1.0%
1014	1	1.0%

bf1_day1_rank
Text

Distinct	80
Distinct (%)	80.0%
Missing	0
Missing (%)	0.0%
Memory size	932.0 B

Length

Max length	6
Median length	5
Mean length	5.28
Min length	2

Characters and Unicode

Total characters	528
Distinct characters	18
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	63 ?
Unique (%)	63.0%

Sample

1st row	선발6-1
2nd row	선발2-2
3rd row	선발6-1
4th row	선발5-6
5th row	우수7-1

Value	Count	Frequency (%)
우수6-6	3	3.0%
선발6-5	3	3.0%
특선11-3	3	3.0%
선발9-4	2	2.0%
선발7-4	2	2.0%
선발9-2	2	2.0%
선발10-5	2	2.0%
우수3-6	2	2.0%
선발6-1	2	2.0%
우수9-6	2	2.0%
Other values (70)	77	77.0%

Most occurring characters

Value	Count	Frequency (%)
-	99	18.8%
선	66	12.5%
1	55	10.4%
발	49	9.3%
우	33	6.2%
수	33	6.2%
6	32	6.1%
5	31	5.9%
2	25	4.7%
3	22	4.2%
Other values (8)	83	15.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	229	43.4%
Other Letter	200	37.9%
Dash Punctuation	99	18.8%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	55	24.0%
6	32	14.0%
5	31	13.5%
2	25	10.9%
3	22	9.6%
4	20	8.7%
7	16	7.0%
9	12	5.2%
0	9	3.9%
8	7	3.1%

Other Letter

Value	Count	Frequency (%)
선	66	33.0%
발	49	24.5%
우	33	16.5%
수	33	16.5%
특	17	8.5%
후	1	0.5%
보	1	0.5%

Dash Punctuation

Value	Count	Frequency (%)
-	99	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	328	62.1%
Hangul	200	37.9%

Most frequent character per script

Common

Value	Count	Frequency (%)
-	99	30.2%
1	55	16.8%
6	32	9.8%
5	31	9.5%
2	25	7.6%
3	22	6.7%
4	20	6.1%
7	16	4.9%
9	12	3.7%
0	9	2.7%

Hangul

Value	Count	Frequency (%)
선	66	33.0%
발	49	24.5%
우	33	16.5%
수	33	16.5%
특	17	8.5%
후	1	0.5%
보	1	0.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	328	62.1%
Hangul	200	37.9%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
-	99	30.2%
1	55	16.8%
6	32	9.8%
5	31	9.5%
2	25	7.6%
3	22	6.7%
4	20	6.1%
7	16	4.9%
9	12	3.7%
0	9	2.7%

Hangul

Value	Count	Frequency (%)
선	66	33.0%
발	49	24.5%
우	33	16.5%
수	33	16.5%
특	17	8.5%
후	1	0.5%
보	1	0.5%

bf1_day2_rank
Text

Distinct	78
Distinct (%)	78.0%
Missing	0
Missing (%)	0.0%
Memory size	932.0 B

Length

Max length	6
Median length	5
Mean length	5.34
Min length	2

Characters and Unicode

Total characters	534
Distinct characters	20
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	59 ?
Unique (%)	59.0%

Sample

1st row	선발4-1
2nd row	선발2-5
3rd row	선발6-2
4th row	선발3-3
5th row	우수6-1

Value	Count	Frequency (%)
선발5-4	3	3.0%
특선11-6	3	3.0%
선발8-6	3	3.0%
우수8-5	2	2.0%
선발4-1	2	2.0%
우수1-4	2	2.0%
특선10-5	2	2.0%
선발11-7	2	2.0%
선발15-6	2	2.0%
특선12-4	2	2.0%
Other values (68)	77	77.0%

Most occurring characters

Value	Count	Frequency (%)
-	99	18.5%
1	70	13.1%
선	64	12.0%
발	48	9.0%
6	33	6.2%
우	33	6.2%
수	32	6.0%
5	28	5.2%
4	21	3.9%
3	20	3.7%
Other values (10)	86	16.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	235	44.0%
Other Letter	200	37.5%
Dash Punctuation	99	18.5%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	70	29.8%
6	33	14.0%
5	28	11.9%
4	21	8.9%
3	20	8.5%
7	20	8.5%
2	15	6.4%
0	12	5.1%
8	9	3.8%
9	7	3.0%

Other Letter

Value	Count	Frequency (%)
선	64	32.0%
발	48	24.0%
우	33	16.5%
수	32	16.0%
특	17	8.5%
준	3	1.5%
후	1	0.5%
보	1	0.5%
결	1	0.5%

Dash Punctuation

Value	Count	Frequency (%)
-	99	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	334	62.5%
Hangul	200	37.5%

Most frequent character per script

Common

Value	Count	Frequency (%)
-	99	29.6%
1	70	21.0%
6	33	9.9%
5	28	8.4%
4	21	6.3%
3	20	6.0%
7	20	6.0%
2	15	4.5%
0	12	3.6%
8	9	2.7%

Hangul

Value	Count	Frequency (%)
선	64	32.0%
발	48	24.0%
우	33	16.5%
수	32	16.0%
특	17	8.5%
준	3	1.5%
후	1	0.5%
보	1	0.5%
결	1	0.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	334	62.5%
Hangul	200	37.5%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
-	99	29.6%
1	70	21.0%
6	33	9.9%
5	28	8.4%
4	21	6.3%
3	20	6.0%
7	20	6.0%
2	15	4.5%
0	12	3.6%
8	9	2.7%

Hangul

Value	Count	Frequency (%)
선	64	32.0%
발	48	24.0%
우	33	16.5%
수	32	16.0%
특	17	8.5%
준	3	1.5%
후	1	0.5%
보	1	0.5%
결	1	0.5%

bf1_day3_rank
Text

Distinct	89
Distinct (%)	89.9%
Missing	1
Missing (%)	1.0%
Memory size	932.0 B

Length

Max length	6
Median length	5
Mean length	5.3131313
Min length	2

Characters and Unicode

Total characters	526
Distinct characters	24
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	81 ?
Unique (%)	81.8%

Sample

1st row	선결6-2
2nd row	선발2-3
3rd row	선결7-1
4th row	선발4-2
5th row	우결11-5

Value	Count	Frequency (%)
우수7-4	3	3.0%
우수10-7	3	3.0%
선발10-5	2	2.0%
선발10-6	2	2.0%
선발4-3	2	2.0%
선발3-5	2	2.0%
선발10-7	2	2.0%
선발9-6	2	2.0%
선발6-7	1	1.0%
선결8-5	1	1.0%
Other values (79)	79	79.8%

Most occurring characters

Value	Count	Frequency (%)
-	97	18.4%
1	66	12.5%
선	59	11.2%
발	42	8.0%
우	32	6.1%
5	26	4.9%
수	26	4.9%
4	25	4.8%
7	24	4.6%
6	24	4.6%
Other values (14)	105	20.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	229	43.5%
Other Letter	200	38.0%
Dash Punctuation	97	18.4%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
선	59	29.5%
발	42	21.0%
우	32	16.0%
수	26	13.0%
특	17	8.5%
결	17	8.5%
실	1	0.5%
격	1	0.5%
승	1	0.5%
낙	1	0.5%
Other values (3)	3	1.5%

Decimal Number

Value	Count	Frequency (%)
1	66	28.8%
5	26	11.4%
4	25	10.9%
7	24	10.5%
6	24	10.5%
3	21	9.2%
2	16	7.0%
0	12	5.2%
9	9	3.9%
8	6	2.6%

Dash Punctuation

Value	Count	Frequency (%)
-	97	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	326	62.0%
Hangul	200	38.0%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
선	59	29.5%
발	42	21.0%
우	32	16.0%
수	26	13.0%
특	17	8.5%
결	17	8.5%
실	1	0.5%
격	1	0.5%
승	1	0.5%
낙	1	0.5%
Other values (3)	3	1.5%

Common

Value	Count	Frequency (%)
-	97	29.8%
1	66	20.2%
5	26	8.0%
4	25	7.7%
7	24	7.4%
6	24	7.4%
3	21	6.4%
2	16	4.9%
0	12	3.7%
9	9	2.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	326	62.0%
Hangul	200	38.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
-	97	29.8%
1	66	20.2%
5	26	8.0%
4	25	7.7%
7	24	7.4%
6	24	7.4%
3	21	6.4%
2	16	4.9%
0	12	3.7%
9	9	2.8%

Hangul

Value	Count	Frequency (%)
선	59	29.5%
발	42	21.0%
우	32	16.0%
수	26	13.0%
특	17	8.5%
결	17	8.5%
실	1	0.5%
격	1	0.5%
승	1	0.5%
낙	1	0.5%
Other values (3)	3	1.5%

bf2_meet_nm
Categorical

Distinct	4
Distinct (%)	4.0%
Missing	0
Missing (%)	0.0%
Memory size	932.0 B

광	37
창	29
<NA>	20
부	14

Length

Max length	4
Median length	1
Mean length	1.6
Min length	1

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	창
2nd row	광
3rd row	부
4th row	광
5th row	창

Common Values

Value	Count	Frequency (%)
광	37	37.0%
창	29	29.0%
<NA>	20	20.0%
부	14	14.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
광	37	37.0%
창	29	29.0%
na	20	20.0%
부	14	14.0%

bf2_day1_dt
Real number (ℝ)

MISSING

Distinct	50
Distinct (%)	62.5%
Missing	20
Missing (%)	20.0%
Infinite	0
Infinite (%)	0.0%
Mean	692.9125

Minimum	102
Maximum	1226
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.0 KiB

Quantile statistics

Minimum	102
5-th percentile	109
Q1	316.25
median	728.5
Q3	1049
95-th percentile	1220.25
Maximum	1226
Range	1124
Interquartile range (IQR)	732.75

Descriptive statistics

Standard deviation	379.2279
Coefficient of variation (CV)	0.54729551
Kurtosis	-1.2475529
Mean	692.9125
Median Absolute Deviation (MAD)	381
Skewness	-0.21767579
Sum	55433
Variance	143813.8
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
819	4	4.0%
722	3	3.0%
715	3	3.0%
1113	3	3.0%
122	3	3.0%
826	2	2.0%
318	2	2.0%
311	2	2.0%
701	2	2.0%
108	2	2.0%
Other values (40)	54	54.0%
(Missing)	20	20.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
102	1	1.0%
108	2	2.0%
109	2	2.0%
115	1	1.0%
116	1	1.0%
122	3	3.0%
123	2	2.0%
129	1	1.0%
205	1	1.0%
226	1	1.0%

Value	Count	Frequency (%)
1226	2	2.0%
1225	2	2.0%
1220	1	1.0%
1219	2	2.0%
1213	1	1.0%
1204	1	1.0%
1127	2	2.0%
1125	1	1.0%
1120	1	1.0%
1118	1	1.0%

bf2_day1_rank
Text

MISSING

Distinct	65
Distinct (%)	81.2%
Missing	20
Missing (%)	20.0%
Memory size	932.0 B

Length

Max length	6
Median length	5
Mean length	5.2625
Min length	2

Characters and Unicode

Total characters	421
Distinct characters	20
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	51 ?
Unique (%)	63.7%

Sample

1st row	선발6실격
2nd row	선발5-7
3rd row	선발8-3
4th row	선발3-2
5th row	우수10실격

Value	Count	Frequency (%)
후보	3	3.8%
우수7-5	2	2.5%
선발6-4	2	2.5%
특선12-7	2	2.5%
선발8-6	2	2.5%
선발2-2	2	2.5%
우수10-6	2	2.5%
우수7-4	2	2.5%
선발5-4	2	2.5%
특선12-6	2	2.5%
Other values (55)	59	73.8%

Most occurring characters

Value	Count	Frequency (%)
-	75	17.8%
선	53	12.6%
1	43	10.2%
발	39	9.3%
우	24	5.7%
수	24	5.7%
5	23	5.5%
7	22	5.2%
6	20	4.8%
4	18	4.3%
Other values (10)	80	19.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	182	43.2%
Other Letter	164	39.0%
Dash Punctuation	75	17.8%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	43	23.6%
5	23	12.6%
7	22	12.1%
6	20	11.0%
4	18	9.9%
2	15	8.2%
3	15	8.2%
8	12	6.6%
0	10	5.5%
9	4	2.2%

Other Letter

Value	Count	Frequency (%)
선	53	32.3%
발	39	23.8%
우	24	14.6%
수	24	14.6%
특	14	8.5%
보	3	1.8%
후	3	1.8%
실	2	1.2%
격	2	1.2%

Dash Punctuation

Value	Count	Frequency (%)
-	75	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	257	61.0%
Hangul	164	39.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
-	75	29.2%
1	43	16.7%
5	23	8.9%
7	22	8.6%
6	20	7.8%
4	18	7.0%
2	15	5.8%
3	15	5.8%
8	12	4.7%
0	10	3.9%

Hangul

Value	Count	Frequency (%)
선	53	32.3%
발	39	23.8%
우	24	14.6%
수	24	14.6%
특	14	8.5%
보	3	1.8%
후	3	1.8%
실	2	1.2%
격	2	1.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	257	61.0%
Hangul	164	39.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
-	75	29.2%
1	43	16.7%
5	23	8.9%
7	22	8.6%
6	20	7.8%
4	18	7.0%
2	15	5.8%
3	15	5.8%
8	12	4.7%
0	10	3.9%

Hangul

Value	Count	Frequency (%)
선	53	32.3%
발	39	23.8%
우	24	14.6%
수	24	14.6%
특	14	8.5%
보	3	1.8%
후	3	1.8%
실	2	1.2%
격	2	1.2%

bf2_day2_rank
Text

MISSING

Distinct	66
Distinct (%)	82.5%
Missing	20
Missing (%)	20.0%
Memory size	932.0 B

Length

Max length	6
Median length	5
Mean length	5.175
Min length	2

Characters and Unicode

Total characters	414
Distinct characters	21
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	55 ?
Unique (%)	68.8%

Sample

1st row	결장
2nd row	선발1-3
3rd row	선발8-5
4th row	선발1-6
5th row	결장

Value	Count	Frequency (%)
선발1-5	5	6.2%
선발10-7	2	2.5%
선발5-6	2	2.5%
우수6-4	2	2.5%
우수2-4	2	2.5%
우수10-2	2	2.5%
결장	2	2.5%
특선10-2	2	2.5%
우수9-5	2	2.5%
특선14-5	2	2.5%
Other values (56)	57	71.2%

Most occurring characters

Value	Count	Frequency (%)
-	76	18.4%
선	52	12.6%
1	43	10.4%
발	38	9.2%
5	30	7.2%
수	23	5.6%
우	23	5.6%
6	22	5.3%
4	17	4.1%
2	16	3.9%
Other values (11)	74	17.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	178	43.0%
Other Letter	160	38.6%
Dash Punctuation	76	18.4%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
선	52	32.5%
발	38	23.8%
수	23	14.4%
우	23	14.4%
특	14	8.8%
보	2	1.2%
후	2	1.2%
결	2	1.2%
장	2	1.2%
준	2	1.2%

Decimal Number

Value	Count	Frequency (%)
1	43	24.2%
5	30	16.9%
6	22	12.4%
4	17	9.6%
2	16	9.0%
7	12	6.7%
9	11	6.2%
3	11	6.2%
0	10	5.6%
8	6	3.4%

Dash Punctuation

Value	Count	Frequency (%)
-	76	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	254	61.4%
Hangul	160	38.6%

Most frequent character per script

Common

Value	Count	Frequency (%)
-	76	29.9%
1	43	16.9%
5	30	11.8%
6	22	8.7%
4	17	6.7%
2	16	6.3%
7	12	4.7%
9	11	4.3%
3	11	4.3%
0	10	3.9%

Hangul

Value	Count	Frequency (%)
선	52	32.5%
발	38	23.8%
수	23	14.4%
우	23	14.4%
특	14	8.8%
보	2	1.2%
후	2	1.2%
결	2	1.2%
장	2	1.2%
준	2	1.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	254	61.4%
Hangul	160	38.6%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
-	76	29.9%
1	43	16.9%
5	30	11.8%
6	22	8.7%
4	17	6.7%
2	16	6.3%
7	12	4.7%
9	11	4.3%
3	11	4.3%
0	10	3.9%

Hangul

Value	Count	Frequency (%)
선	52	32.5%
발	38	23.8%
수	23	14.4%
우	23	14.4%
특	14	8.8%
보	2	1.2%
후	2	1.2%
결	2	1.2%
장	2	1.2%
준	2	1.2%

bf2_day3_rank
Text

MISSING

Distinct	68
Distinct (%)	85.0%
Missing	20
Missing (%)	20.0%
Memory size	932.0 B

Length

Max length	6
Median length	5
Mean length	5.3
Min length	2

Characters and Unicode

Total characters	424
Distinct characters	18
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	59 ?
Unique (%)	73.8%

Sample

1st row	결장
2nd row	선발1-2
3rd row	선발9-1
4th row	선발2-3
5th row	결장

Value	Count	Frequency (%)
선발10-6	4	5.0%
우수8-2	3	3.8%
우수7-6	2	2.5%
특선14-7	2	2.5%
선발6-4	2	2.5%
선발10-4	2	2.5%
결장	2	2.5%
선발3-5	2	2.5%
선발7-5	2	2.5%
특결15-6	1	1.2%
Other values (58)	58	72.5%

Most occurring characters

Value	Count	Frequency (%)
-	78	18.4%
선	50	11.8%
1	43	10.1%
발	36	8.5%
우	25	5.9%
6	22	5.2%
수	22	5.2%
5	21	5.0%
4	20	4.7%
7	18	4.2%
Other values (8)	89	21.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	186	43.9%
Other Letter	160	37.7%
Dash Punctuation	78	18.4%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	43	23.1%
6	22	11.8%
5	21	11.3%
4	20	10.8%
7	18	9.7%
2	18	9.7%
3	17	9.1%
0	11	5.9%
8	10	5.4%
9	6	3.2%

Other Letter

Value	Count	Frequency (%)
선	50	31.2%
발	36	22.5%
우	25	15.6%
수	22	13.8%
특	14	8.8%
결	11	6.9%
장	2	1.2%

Dash Punctuation

Value	Count	Frequency (%)
-	78	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	264	62.3%
Hangul	160	37.7%

Most frequent character per script

Common

Value	Count	Frequency (%)
-	78	29.5%
1	43	16.3%
6	22	8.3%
5	21	8.0%
4	20	7.6%
7	18	6.8%
2	18	6.8%
3	17	6.4%
0	11	4.2%
8	10	3.8%

Hangul

Value	Count	Frequency (%)
선	50	31.2%
발	36	22.5%
우	25	15.6%
수	22	13.8%
특	14	8.8%
결	11	6.9%
장	2	1.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	264	62.3%
Hangul	160	37.7%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
-	78	29.5%
1	43	16.3%
6	22	8.3%
5	21	8.0%
4	20	7.6%
7	18	6.8%
2	18	6.8%
3	17	6.4%
0	11	4.2%
8	10	3.8%

Hangul

Value	Count	Frequency (%)
선	50	31.2%
발	36	22.5%
우	25	15.6%
수	22	13.8%
특	14	8.8%
결	11	6.9%
장	2	1.2%

bf3_meet_nm
Categorical

Distinct	4
Distinct (%)	4.0%
Missing	0
Missing (%)	0.0%
Memory size	932.0 B

광	39
창	21
부	20
<NA>	20

Length

Max length	4
Median length	1
Mean length	1.6
Min length	1

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	광
2nd row	광
3rd row	광
4th row	부
5th row	광

Common Values

Value	Count	Frequency (%)
광	39	39.0%
창	21	21.0%
부	20	20.0%
<NA>	20	20.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
광	39	39.0%
창	21	21.0%
부	20	20.0%
na	20	20.0%

bf3_day1_dt
Real number (ℝ)

MISSING

Distinct	53
Distinct (%)	66.2%
Missing	20
Missing (%)	20.0%
Infinite	0
Infinite (%)	0.0%
Mean	781.325

Minimum	108
Maximum	1229
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.0 KiB

Quantile statistics

Minimum	108
5-th percentile	128.65
Q1	584
median	809.5
Q3	1111.5
95-th percentile	1225
Maximum	1229
Range	1121
Interquartile range (IQR)	527.5

Descriptive statistics

Standard deviation	356.79519
Coefficient of variation (CV)	0.456654
Kurtosis	-0.90986802
Mean	781.325
Median Absolute Deviation (MAD)	300
Skewness	-0.45786829
Sum	62506
Variance	127302.8
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
708	5	5.0%
226	4	4.0%
729	3	3.0%
812	3	3.0%
129	2	2.0%
1104	2	2.0%
715	2	2.0%
1030	2	2.0%
1211	2	2.0%
603	2	2.0%
Other values (43)	53	53.0%
(Missing)	20	20.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
108	1	1.0%
109	1	1.0%
115	1	1.0%
122	1	1.0%
129	2	2.0%
130	1	1.0%
226	4	4.0%
227	1	1.0%
304	1	1.0%
408	1	1.0%

Value	Count	Frequency (%)
1229	2	2.0%
1226	1	1.0%
1225	2	2.0%
1219	1	1.0%
1213	1	1.0%
1212	2	2.0%
1211	2	2.0%
1205	1	1.0%
1204	2	2.0%
1128	2	2.0%

bf3_day1_rank
Text

MISSING

Distinct	65
Distinct (%)	81.2%
Missing	20
Missing (%)	20.0%
Memory size	932.0 B

Length

Max length	6
Median length	5
Mean length	5.125
Min length	2

Characters and Unicode

Total characters	410
Distinct characters	20
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	55 ?
Unique (%)	68.8%

Sample

1st row	선발4-1
2nd row	선발1-2
3rd row	선발3-6
4th row	선발8-6
5th row	후보

Value	Count	Frequency (%)
후보	4	5.0%
선발3-6	3	3.8%
선발8-7	3	3.8%
선발4-5	3	3.8%
선발4-1	2	2.5%
우수9-6	2	2.5%
선발7-7	2	2.5%
선발6-4	2	2.5%
선발2-6	2	2.5%
선발8-6	2	2.5%
Other values (55)	55	68.8%

Most occurring characters

Value	Count	Frequency (%)
-	75	18.3%
선	49	12.0%
발	38	9.3%
1	35	8.5%
우	27	6.6%
수	27	6.6%
7	24	5.9%
3	20	4.9%
5	19	4.6%
4	18	4.4%
Other values (10)	78	19.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	173	42.2%
Other Letter	162	39.5%
Dash Punctuation	75	18.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	35	20.2%
7	24	13.9%
3	20	11.6%
5	19	11.0%
4	18	10.4%
6	17	9.8%
2	17	9.8%
8	12	6.9%
9	6	3.5%
0	5	2.9%

Other Letter

Value	Count	Frequency (%)
선	49	30.2%
발	38	23.5%
우	27	16.7%
수	27	16.7%
특	11	6.8%
후	4	2.5%
보	4	2.5%
실	1	0.6%
격	1	0.6%

Dash Punctuation

Value	Count	Frequency (%)
-	75	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	248	60.5%
Hangul	162	39.5%

Most frequent character per script

Common

Value	Count	Frequency (%)
-	75	30.2%
1	35	14.1%
7	24	9.7%
3	20	8.1%
5	19	7.7%
4	18	7.3%
6	17	6.9%
2	17	6.9%
8	12	4.8%
9	6	2.4%

Hangul

Value	Count	Frequency (%)
선	49	30.2%
발	38	23.5%
우	27	16.7%
수	27	16.7%
특	11	6.8%
후	4	2.5%
보	4	2.5%
실	1	0.6%
격	1	0.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	248	60.5%
Hangul	162	39.5%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
-	75	30.2%
1	35	14.1%
7	24	9.7%
3	20	8.1%
5	19	7.7%
4	18	7.3%
6	17	6.9%
2	17	6.9%
8	12	4.8%
9	6	2.4%

Hangul

Value	Count	Frequency (%)
선	49	30.2%
발	38	23.5%
우	27	16.7%
수	27	16.7%
특	11	6.8%
후	4	2.5%
보	4	2.5%
실	1	0.6%
격	1	0.6%

bf3_day2_rank
Text

MISSING

Distinct	65
Distinct (%)	81.2%
Missing	20
Missing (%)	20.0%
Memory size	932.0 B

Length

Max length	6
Median length	5
Mean length	5.1
Min length	2

Characters and Unicode

Total characters	408
Distinct characters	21
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	54 ?
Unique (%)	67.5%

Sample

1st row	선발2-1
2nd row	선발5-5
3rd row	선발2-6
4th row	선발1-4
5th row	후보

Value	Count	Frequency (%)
후보	4	5.0%
선발8-4	3	3.8%
선발4-5	3	3.8%
선발5-7	2	2.5%
선발8-6	2	2.5%
우수11-6	2	2.5%
선발2-1	2	2.5%
선발3-7	2	2.5%
우수9-5	2	2.5%
선발8-5	2	2.5%
Other values (55)	56	70.0%

Most occurring characters

Value	Count	Frequency (%)
-	75	18.4%
선	48	11.8%
1	42	10.3%
발	38	9.3%
우	26	6.4%
수	25	6.1%
5	24	5.9%
6	20	4.9%
7	19	4.7%
4	18	4.4%
Other values (11)	73	17.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	173	42.4%
Other Letter	160	39.2%
Dash Punctuation	75	18.4%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
선	48	30.0%
발	38	23.8%
우	26	16.2%
수	25	15.6%
특	11	6.9%
후	4	2.5%
보	4	2.5%
준	2	1.2%
결	1	0.6%
장	1	0.6%

Decimal Number

Value	Count	Frequency (%)
1	42	24.3%
5	24	13.9%
6	20	11.6%
7	19	11.0%
4	18	10.4%
2	14	8.1%
3	14	8.1%
8	13	7.5%
0	6	3.5%
9	3	1.7%

Dash Punctuation

Value	Count	Frequency (%)
-	75	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	248	60.8%
Hangul	160	39.2%

Most frequent character per script

Common

Value	Count	Frequency (%)
-	75	30.2%
1	42	16.9%
5	24	9.7%
6	20	8.1%
7	19	7.7%
4	18	7.3%
2	14	5.6%
3	14	5.6%
8	13	5.2%
0	6	2.4%

Hangul

Value	Count	Frequency (%)
선	48	30.0%
발	38	23.8%
우	26	16.2%
수	25	15.6%
특	11	6.9%
후	4	2.5%
보	4	2.5%
준	2	1.2%
결	1	0.6%
장	1	0.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	248	60.8%
Hangul	160	39.2%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
-	75	30.2%
1	42	16.9%
5	24	9.7%
6	20	8.1%
7	19	7.7%
4	18	7.3%
2	14	5.6%
3	14	5.6%
8	13	5.2%
0	6	2.4%

Hangul

Value	Count	Frequency (%)
선	48	30.0%
발	38	23.8%
우	26	16.2%
수	25	15.6%
특	11	6.9%
후	4	2.5%
보	4	2.5%
준	2	1.2%
결	1	0.6%
장	1	0.6%

bf3_day3_rank
Unsupported

MISSING REJECTED UNSUPPORTED

Missing	100
Missing (%)	100.0%
Memory size	1.0 KiB

day4_rank
Text

MISSING

Distinct	2
Distinct (%)	100.0%
Missing	98
Missing (%)	98.0%
Memory size	932.0 B

Length

Max length	6
Median length	6
Mean length	6
Min length	6

Characters and Unicode

Total characters	12
Distinct characters	8
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	100.0%

Sample

1st row	우수 7-4
2nd row	우준 9-4

Value	Count	Frequency (%)
우수	1	25.0%
7-4	1	25.0%
우준	1	25.0%
9-4	1	25.0%

Most occurring characters

Value	Count	Frequency (%)
우	2	16.7%
	2	16.7%
-	2	16.7%
4	2	16.7%
수	1	8.3%
7	1	8.3%
준	1	8.3%
9	1	8.3%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	4	33.3%
Decimal Number	4	33.3%
Space Separator	2	16.7%
Dash Punctuation	2	16.7%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
우	2	50.0%
수	1	25.0%
준	1	25.0%

Decimal Number

Value	Count	Frequency (%)
4	2	50.0%
7	1	25.0%
9	1	25.0%

Space Separator

Value	Count	Frequency (%)
	2	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	8	66.7%
Hangul	4	33.3%

Most frequent character per script

Common

Value	Count	Frequency (%)
	2	25.0%
-	2	25.0%
4	2	25.0%
7	1	12.5%
9	1	12.5%

Hangul

Value	Count	Frequency (%)
우	2	50.0%
수	1	25.0%
준	1	25.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	8	66.7%
Hangul	4	33.3%

Most frequent character per block

Hangul

Value	Count	Frequency (%)
우	2	50.0%
수	1	25.0%
준	1	25.0%

ASCII

Value	Count	Frequency (%)
	2	25.0%
-	2	25.0%
4	2	25.0%
7	1	12.5%
9	1	12.5%

bf1_day4_rank
Categorical

Distinct	3
Distinct (%)	3.0%
Missing	0
Missing (%)	0.0%
Memory size	932.0 B

결장	68
<NA>	31
우수1-4	1

Length

Max length	5
Median length	2
Mean length	2.65
Min length	2

Unique

Unique	1 ?
Unique (%)	1.0%

Sample

1st row	결장
2nd row	결장
3rd row	결장
4th row	결장
5th row	결장

Common Values

Value	Count	Frequency (%)
결장	68	68.0%
<NA>	31	31.0%
우수1-4	1	1.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
결장	68	68.0%
na	31	31.0%
우수1-4	1	1.0%

bf1_day5_rank
Unsupported

MISSING REJECTED UNSUPPORTED

Missing	100
Missing (%)	100.0%
Memory size	1.0 KiB

bf2_day4_rank
Categorical

Distinct	3
Distinct (%)	3.0%
Missing	0
Missing (%)	0.0%
Memory size	932.0 B

결장	69
<NA>	30
선발2-5	1

Length

Max length	5
Median length	2
Mean length	2.63
Min length	2

Unique

Unique	1 ?
Unique (%)	1.0%

Sample

1st row	결장
2nd row	결장
3rd row	결장
4th row	결장
5th row	결장

Common Values

Value	Count	Frequency (%)
결장	69	69.0%
<NA>	30	30.0%
선발2-5	1	1.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
결장	69	69.0%
na	30	30.0%
선발2-5	1	1.0%

bf2_day5_rank
Unsupported

MISSING REJECTED UNSUPPORTED

Missing	100
Missing (%)	100.0%
Memory size	1.0 KiB

bf3_day4_rank
Categorical

Distinct	3
Distinct (%)	3.0%
Missing	0
Missing (%)	0.0%
Memory size	932.0 B

결장	67
<NA>	32
우수4-5	1

Length

Max length	5
Median length	2
Mean length	2.67
Min length	2

Unique

Unique	1 ?
Unique (%)	1.0%

Sample

1st row	결장
2nd row	결장
3rd row	결장
4th row	결장
5th row	결장

Common Values

Value	Count	Frequency (%)
결장	67	67.0%
<NA>	32	32.0%
우수4-5	1	1.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
결장	67	67.0%
na	32	32.0%
우수4-5	1	1.0%

bf3_day5_rank
Unsupported

MISSING REJECTED UNSUPPORTED

Missing	100
Missing (%)	100.0%
Memory size	1.0 KiB

day1_stg
Categorical

IMBALANCE

Distinct	5
Distinct (%)	5.0%
Missing	0
Missing (%)	0.0%
Memory size	932.0 B

<NA>	91
4	4
3	2
2	2
1	1

Length

Max length	4
Median length	4
Mean length	3.73
Min length	1

Unique

Unique	1 ?
Unique (%)	1.0%

Sample

1st row	<NA>
2nd row	<NA>
3rd row	<NA>
4th row	<NA>
5th row	<NA>

Common Values

Value	Count	Frequency (%)
<NA>	91	91.0%
4	4	4.0%
3	2	2.0%
2	2	2.0%
1	1	1.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
na	91	91.0%
4	4	4.0%
3	2	2.0%
2	2	2.0%
1	1	1.0%

day2_stg
Categorical

IMBALANCE

Distinct	4
Distinct (%)	4.0%
Missing	0
Missing (%)	0.0%
Memory size	932.0 B

<NA>	93
1	3
4	3
2	1

Length

Max length	4
Median length	4
Mean length	3.79
Min length	1

Unique

Unique	1 ?
Unique (%)	1.0%

Sample

1st row	<NA>
2nd row	<NA>
3rd row	<NA>
4th row	<NA>
5th row	<NA>

Common Values

Value	Count	Frequency (%)
<NA>	93	93.0%
1	3	3.0%
4	3	3.0%
2	1	1.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
na	93	93.0%
1	3	3.0%
4	3	3.0%
2	1	1.0%

day3_stg
Categorical

IMBALANCE

Distinct	2
Distinct (%)	2.0%
Missing	0
Missing (%)	0.0%
Memory size	932.0 B

<NA>	99
4	1

Length

Max length	4
Median length	4
Mean length	3.97
Min length	1

Unique

Unique	1 ?
Unique (%)	1.0%

Sample

1st row	<NA>
2nd row	<NA>
3rd row	<NA>
4th row	<NA>
5th row	<NA>

Common Values

Value	Count	Frequency (%)
<NA>	99	99.0%
4	1	1.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
na	99	99.0%
4	1	1.0%

day4_stg
Unsupported

MISSING REJECTED UNSUPPORTED

Missing	100
Missing (%)	100.0%
Memory size	1.0 KiB

day5_stg
Unsupported

MISSING REJECTED UNSUPPORTED

Missing	100
Missing (%)	100.0%
Memory size	1.0 KiB

bf1_day1_stg
Categorical

IMBALANCE

Distinct	5
Distinct (%)	5.0%
Missing	0
Missing (%)	0.0%
Memory size	932.0 B

<NA>	87
3	5
4	4
2	2
1	2

Length

Max length	4
Median length	4
Mean length	3.61
Min length	1

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	<NA>
2nd row	2
3rd row	<NA>
4th row	<NA>
5th row	<NA>

Common Values

Value	Count	Frequency (%)
<NA>	87	87.0%
3	5	5.0%
4	4	4.0%
2	2	2.0%
1	2	2.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
na	87	87.0%
3	5	5.0%
4	4	4.0%
2	2	2.0%
1	2	2.0%

bf1_day2_stg
Categorical

IMBALANCE

Distinct	5
Distinct (%)	5.0%
Missing	0
Missing (%)	0.0%
Memory size	932.0 B

<NA>	89
1	4
4	3
2	3
3	1

Length

Max length	4
Median length	4
Mean length	3.67
Min length	1

Unique

Unique	1 ?
Unique (%)	1.0%

Sample

1st row	<NA>
2nd row	<NA>
3rd row	<NA>
4th row	<NA>
5th row	<NA>

Common Values

Value	Count	Frequency (%)
<NA>	89	89.0%
1	4	4.0%
4	3	3.0%
2	3	3.0%
3	1	1.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
na	89	89.0%
1	4	4.0%
4	3	3.0%
2	3	3.0%
3	1	1.0%

bf1_day3_stg
Categorical

IMBALANCE

Distinct	4
Distinct (%)	4.0%
Missing	0
Missing (%)	0.0%
Memory size	932.0 B

<NA>	87
4	5
3	4
1	4

Length

Max length	4
Median length	4
Mean length	3.61
Min length	1

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	<NA>
2nd row	4
3rd row	<NA>
4th row	<NA>
5th row	<NA>

Common Values

Value	Count	Frequency (%)
<NA>	87	87.0%
4	5	5.0%
3	4	4.0%
1	4	4.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
na	87	87.0%
4	5	5.0%
3	4	4.0%
1	4	4.0%

bf1_day4_stg
Unsupported

MISSING REJECTED UNSUPPORTED

Missing	100
Missing (%)	100.0%
Memory size	1.0 KiB

bf1_day5_stg
Unsupported

MISSING REJECTED UNSUPPORTED

Missing	100
Missing (%)	100.0%
Memory size	1.0 KiB

bf2_day1_stg
Categorical

IMBALANCE

Distinct	5
Distinct (%)	5.0%
Missing	0
Missing (%)	0.0%
Memory size	932.0 B

<NA>	89
3	4
4	3
2	2
1	2

Length

Max length	4
Median length	4
Mean length	3.67
Min length	1

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	<NA>
2nd row	<NA>
3rd row	<NA>
4th row	<NA>
5th row	<NA>

Common Values

Value	Count	Frequency (%)
<NA>	89	89.0%
3	4	4.0%
4	3	3.0%
2	2	2.0%
1	2	2.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
na	89	89.0%
3	4	4.0%
4	3	3.0%
2	2	2.0%
1	2	2.0%

bf2_day2_stg
Categorical

IMBALANCE

Distinct	5
Distinct (%)	5.0%
Missing	0
Missing (%)	0.0%
Memory size	932.0 B

<NA>	86
4	5
3	4
2	3
1	2

Length

Max length	4
Median length	4
Mean length	3.58
Min length	1

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	<NA>
2nd row	4
3rd row	<NA>
4th row	<NA>
5th row	<NA>

Common Values

Value	Count	Frequency (%)
<NA>	86	86.0%
4	5	5.0%
3	4	4.0%
2	3	3.0%
1	2	2.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
na	86	86.0%
4	5	5.0%
3	4	4.0%
2	3	3.0%
1	2	2.0%

bf2_day3_stg
Categorical

IMBALANCE

Distinct	5
Distinct (%)	5.0%
Missing	0
Missing (%)	0.0%
Memory size	932.0 B

<NA>	83
4	6
1	5
2	3
3	3

Length

Max length	4
Median length	4
Mean length	3.49
Min length	1

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	<NA>
2nd row	4
3rd row	<NA>
4th row	<NA>
5th row	<NA>

Common Values

Value	Count	Frequency (%)
<NA>	83	83.0%
4	6	6.0%
1	5	5.0%
2	3	3.0%
3	3	3.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
na	83	83.0%
4	6	6.0%
1	5	5.0%
2	3	3.0%
3	3	3.0%

bf2_day4_stg
Unsupported

MISSING REJECTED UNSUPPORTED

Missing	100
Missing (%)	100.0%
Memory size	1.0 KiB

bf2_day5_stg
Unsupported

MISSING REJECTED UNSUPPORTED

Missing	100
Missing (%)	100.0%
Memory size	1.0 KiB

bf3_day1_stg
Categorical

IMBALANCE

Distinct	5
Distinct (%)	5.0%
Missing	0
Missing (%)	0.0%
Memory size	932.0 B

<NA>	86
4	5
1	5
2	3
3	1

Length

Max length	4
Median length	4
Mean length	3.58
Min length	1

Unique

Unique	1 ?
Unique (%)	1.0%

Sample

1st row	<NA>
2nd row	4
3rd row	<NA>
4th row	<NA>
5th row	<NA>

Common Values

Value	Count	Frequency (%)
<NA>	86	86.0%
4	5	5.0%
1	5	5.0%
2	3	3.0%
3	1	1.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
na	86	86.0%
4	5	5.0%
1	5	5.0%
2	3	3.0%
3	1	1.0%

bf3_day2_stg
Categorical

IMBALANCE

Distinct	4
Distinct (%)	4.0%
Missing	0
Missing (%)	0.0%
Memory size	932.0 B

<NA>	89
1	5
3	4
4	2

Length

Max length	4
Median length	4
Mean length	3.67
Min length	1

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	<NA>
2nd row	<NA>
3rd row	<NA>
4th row	<NA>
5th row	<NA>

Common Values

Value	Count	Frequency (%)
<NA>	89	89.0%
1	5	5.0%
3	4	4.0%
4	2	2.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
na	89	89.0%
1	5	5.0%
3	4	4.0%
4	2	2.0%

bf3_day3_stg
Categorical

IMBALANCE

Distinct	5
Distinct (%)	5.0%
Missing	0
Missing (%)	0.0%
Memory size	932.0 B

<NA>	89
4	6
1	3
2	1
3	1

Length

Max length	4
Median length	4
Mean length	3.67
Min length	1

Unique

Unique	2 ?
Unique (%)	2.0%

Sample

1st row	<NA>
2nd row	2
3rd row	<NA>
4th row	<NA>
5th row	<NA>

Common Values

Value	Count	Frequency (%)
<NA>	89	89.0%
4	6	6.0%
1	3	3.0%
2	1	1.0%
3	1	1.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
na	89	89.0%
4	6	6.0%
1	3	3.0%
2	1	1.0%
3	1	1.0%

bf3_day4_stg
Unsupported

MISSING REJECTED UNSUPPORTED

Missing	100
Missing (%)	100.0%
Memory size	1.0 KiB

bf3_day5_stg
Unsupported

MISSING REJECTED UNSUPPORTED

Missing	100
Missing (%)	100.0%
Memory size	1.0 KiB

First rows
Last rows

	meet	stnd_year	tms	day_ord	race_dt	race_no	back_no	color	racer_nm	period_no	age	gear_rate	rec_200m	trng_plc	win_rate	high_rate	high_3_rate	racer_grd	str_tm	round_cnt	race_len	win_tot_cnt	run_day_cnt	pre_win_cnt	pas_win_cnt	brk_win_cnt	mrk_win_cnt	racer_grd_cur	racer_grd_bef	area_tms3_avg_scr	tot_tms_avg_scr	bf1_meet_nm	bf1_day1_dt	bf1_day1_rank	bf1_day2_rank	bf1_day3_rank	bf2_meet_nm	bf2_day1_dt	bf2_day1_rank	bf2_day2_rank	bf2_day3_rank	bf3_meet_nm	bf3_day1_dt	bf3_day1_rank	bf3_day2_rank	bf3_day3_rank	day4_rank	bf1_day4_rank	bf1_day5_rank	bf2_day4_rank	bf2_day5_rank	bf3_day4_rank	bf3_day5_rank	day1_stg	day2_stg	day3_stg	day4_stg	day5_stg	bf1_day1_stg	bf1_day2_stg	bf1_day3_stg	bf1_day4_stg	bf1_day5_stg	bf2_day1_stg	bf2_day2_stg	bf2_day3_stg	bf2_day4_stg	bf2_day5_stg	bf3_day1_stg	bf3_day2_stg	bf3_day3_stg	bf3_day4_stg	bf3_day5_stg
0	광명	2015	39	1	2015.10.09	1	1	백	최원재	12	34	3.92	11"90	전주	23	30	40	선발	13"45	5	1691	16	40	2	2	9	3	B1	A1	90.248	90.936	부	1002	선발6-1	선발4-1	선결6-2	창	814	선발6실격	결장	결장	광	807	선발4-1	선발2-1	<NA>	<NA>	결장	<NA>	결장	<NA>	결장	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>
1	광명	2020	6	3	2020.02.09	4	3	적	안성민	7	46	3.85	11"71	부산	0	33	67	선발	14"45	5	1691	14	27	0	0	6	8	B2	B2	86.464	86.464	광	131	선발2-2	선발2-5	선발2-3	광	1213	선발5-7	선발1-3	선발1-2	광	1108	선발1-2	선발5-5	<NA>	<NA>	결장	<NA>	결장	<NA>	결장	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	2	<NA>	4	<NA>	<NA>	<NA>	4	4	<NA>	<NA>	4	<NA>	2	<NA>	<NA>
2	광명	2015	22	3	2015.06.07	5	2	흑	김담현	17	29	3.92	11"50	춘천	19	29	52	선발	15"03	5	1691	19	48	3	1	7	8	B2	B1	85.331	88.669	창	529	선발6-1	선발6-2	선결7-1	부	515	선발8-3	선발8-5	선발9-1	광	508	선발3-6	선발2-6	<NA>	<NA>	결장	<NA>	결장	<NA>	결장	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>
3	광명	2015	20	3	2015.05.24	1	2	흑	이승주	9	36	3.92	11"47	유성	0	22	56	선발	13"31	5	1691	7	24	0	1	0	6	B1	A2	88.379	85.73	창	508	선발5-6	선발3-3	선발4-2	광	501	선발3-2	선발1-6	선발2-3	부	417	선발8-6	선발1-4	<NA>	<NA>	결장	<NA>	결장	<NA>	결장	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>
4	광명	2015	22	1	2015.06.05	7	5	황	엄정일	19	28	3.92	11"14	양주	48	60	72	우수	16"30	5	1691	22	61	5	1	12	4	A1	S3	97.138	98.133	광	522	우수7-1	우수6-1	우결11-5	창	515	우수10실격	결장	결장	광	501	후보	후보	<NA>	<NA>	결장	<NA>	결장	<NA>	결장	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>
5	광명	2004	1	1	2004.02.27	2	2	흑	최덕진	8	33	3.5	11"90	영주	0	0	33	<NA>	11"45	6	2025	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	79.5	83.42	창	<NA>	선발4-5	선발5-3	선발4-6	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>
6	광명	2015	10	3	2015.03.15	1	5	황	최영준	12	38	3.92	12"01	창원A	0	0	33	선발	13"16	5	1691	5	39	0	0	1	4	B1	A3	87.476	85.723	창	227	선발4-5	선발6-5	선발4-3	창	1219	우수9-7	우수10-7	우수9-7	광	1128	우수8-5	우수11-6	<NA>	<NA>	결장	<NA>	결장	<NA>	결장	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>
7	광명	2020	6	3	2020.02.09	4	4	청	이경수	10	41	3.92	11"79	팔당	0	0	6	선발	14"45	5	1691	2	27	0	0	1	1	B3	B3	83.613	83.613	광	1129	선발6-5	선발5-7	선발3-5	광	1108	선발6-3	선발2-7	선발5-4	광	927	선발2-6	선발5-7	<NA>	<NA>	결장	<NA>	결장	<NA>	결장	<NA>	4	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	2	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>
8	광명	2015	8	3	2015.03.01	14	1	백	조재호	14	33	3.92	11"06	가평	0	0	20	특선	18"40	5	1691	15	27	1	4	6	4	S3	A1	94.915	94.915	광	206	특선12-6	특선12-3	특선11-5	광	1226	특선7-5	특선5-6	특선5-6	광	1219	우수11-2	우수6-2	<NA>	<NA>	결장	<NA>	결장	<NA>	결장	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>
9	광명	2004	1	1	2004.02.27	6	6	녹	오준의	9	27	3.57	12"09	창원	0	0	17	<NA>	13"45	6	2025	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	88.71	89.02	부	<NA>	우수9-4	우수8-6	우수9-6	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>

	meet	stnd_year	tms	day_ord	race_dt	race_no	back_no	color	racer_nm	period_no	age	gear_rate	rec_200m	trng_plc	win_rate	high_rate	high_3_rate	racer_grd	str_tm	round_cnt	race_len	win_tot_cnt	run_day_cnt	pre_win_cnt	pas_win_cnt	brk_win_cnt	mrk_win_cnt	racer_grd_cur	racer_grd_bef	area_tms3_avg_scr	tot_tms_avg_scr	bf1_meet_nm	bf1_day1_dt	bf1_day1_rank	bf1_day2_rank	bf1_day3_rank	bf2_meet_nm	bf2_day1_dt	bf2_day1_rank	bf2_day2_rank	bf2_day3_rank	bf3_meet_nm	bf3_day1_dt	bf3_day1_rank	bf3_day2_rank	bf3_day3_rank	day4_rank	bf1_day4_rank	bf1_day5_rank	bf2_day4_rank	bf2_day5_rank	bf3_day4_rank	bf3_day5_rank	day1_stg	day2_stg	day3_stg	day4_stg	day5_stg	bf1_day1_stg	bf1_day2_stg	bf1_day3_stg	bf1_day4_stg	bf1_day5_stg	bf2_day1_stg	bf2_day2_stg	bf2_day3_stg	bf2_day4_stg	bf2_day5_stg	bf3_day1_stg	bf3_day2_stg	bf3_day3_stg	bf3_day4_stg	bf3_day5_stg
90	광명	2016	40	1	2016.10.14	3	5	황	김광록	10	38	3.85	11"68	광산	0	5	13	선발	14"25	5	1691	5	39	1	0	0	4	B3	B3	82.14	83.859	부	930	선발9-6	선발9-6	선발8-4	창	909	선발9-7	선발15-3	선발8-4	창	902	선발9-6	선발7-2	<NA>	<NA>	결장	<NA>	결장	<NA>	결장	<NA>	1	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	4	<NA>	<NA>	<NA>	<NA>	1	<NA>	<NA>	<NA>
91	광명	2003	5	2	2003.04.05	10	7	분홍	양승하	4	29	3.5	12"52	남양주	17	25	<NA>	<NA>	16"25	6	2025	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	93.23	93.36	창	<NA>	우수9-3	우수8-4	우수6-1	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>
92	광명	2016	37	1	2016.09.09	12	4	청	전영규	17	31	3.92	10"91	미원	31	69	79	특선	18"38	5	1691	31	39	8	9	5	9	S1	S1	102.948	104.887	광	826	특선11-2	특준12-2	특결13-3	부	729	특선10-2	특준15-2	특결15-3	광	708	특선13-1	특선12-1	<NA>	<NA>	결장	<NA>	결장	<NA>	결장	<NA>	3	4	<NA>	<NA>	<NA>	4	4	4	<NA>	<NA>	1	3	1	<NA>	<NA>	2	3	4	<NA>	<NA>
93	광명	2003	4	1	2003.03.28	7	6	녹	이석훈	2	37	3.57	12"25	여주	11	11	<NA>	<NA>	14"40	6	2025	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	91.02	88.98	잠	<NA>	우수6-6	우수9-6	우수5-1	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>
94	광명	2016	30	1	2016.07.22	5	4	청	허 남	9	41	3.92	11"64	팔당	0	3	19	선발	16"32	5	1691	7	36	0	0	2	5	B3	B2	82.915	84.216	부	708	선발8-6	선발10-7	선발9-6	광	701	선발5-4	선발1-5	선발3-5	창	610	선발9-3	선발7-3	<NA>	<NA>	결장	<NA>	결장	<NA>	결장	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	4	4	4	<NA>	<NA>
95	광명	2016	25	2	2016.06.18	8	7	분홍	조왕우	6	41	3.92	11"44	팔당	0	0	5	우수	16"50	5	1691	19	50	0	2	12	5	A3	B1	88.419	88.253	부	520	우수3-4	우수2-6	우수1-5	광	506	우수8-5	우수6-5	우수7-7	창	429	우수15-5	우수15-5	<NA>	<NA>	결장	<NA>	결장	<NA>	결장	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>
96	광명	2004	3	3	2004.03.14	11	6	녹	이유진	7	28	3.57	12"21	창원	0	11	33	<NA>	16"15	6	2025	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	101.25	96.16	부	<NA>	특선12-7	특선11-6	특선11-4	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>
97	광명	2016	30	1	2016.07.22	5	1	백	권언호	7	46	3.86	11"57	인천개인	6	8	22	선발	16"32	5	1691	8	36	0	0	2	6	B2	B3	83.825	82.941	부	708	선발9-4	선발11-7	선발10-7	창	617	선발6-4	선발5-6	선발7-5	광	603	선발4-5	선발4-5	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>
98	광명	2016	23	3	2016.06.05	14	1	백	박종현	6	48	3.92	11"27	세종	20	76	92	특선	18"55	5	1691	38	49	18	10	4	6	S3	A2	95.599	97.276	부	513	우수2-2	우수2-1	우결3-1	광	506	후보	후보	우수11-3	창	415	우수15-2	우수10-2	<NA>	<NA>	결장	<NA>	결장	<NA>	결장	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	1	2	1	<NA>	<NA>	<NA>	<NA>	1	<NA>	<NA>	1	3	1	<NA>	<NA>
99	광명	2016	19	1	2016.05.06	4	2	흑	이사빈	14	33	3.92	11"62	춘천	0	0	0	선발	15"06	5	1691	0	18	0	0	0	0	B3	B3	81.365	80.893	광	429	선발1-5	선발5-7	선발5-7	창	415	선발5-4	선발6-7	선발8-7	부	408	선발17-7	선발17-6	<NA>	<NA>	결장	<NA>	결장	<NA>	결장	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>

Overview

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Most frequent character per category

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Hangul

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ASCII

Most occurring characters

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Other Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Common Values

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Common Values (Plot)

Common Values

Length

Common Values (Plot)

Common Values

Length

Common Values (Plot)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Letter

Dash Punctuation

Most occurring scripts

Most frequent character per script

Common

Hangul

Most occurring blocks

Most frequent character per block

ASCII

Hangul