Overview

Dataset statistics

Number of variables90
Number of observations10000
Missing cells10006
Missing cells (%)1.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.6 MiB
Average record size in memory801.0 B

Variable types

Categorical17
DateTime1
Numeric66
Text5
Unsupported1

Dataset

Description경마 경주정보 및 경주기록 상세정보 (성적정보 등) 경마장 : 제주 및 부산경남 각각 경마장 외 46개 변수(CODE) 기간 : 20190101 - 20230630
Author공공데이터포털
URLhttps://www.data.go.kr/data/15116930/fileData.do

Alerts

SJ_G3F_ORD has constant value ""Constant
SE_S1F_ACC_TIME has constant value ""Constant
SE_1C_ACC_TIME has constant value ""Constant
SE_2C_ACC_TIME has constant value ""Constant
SE_3C_ACC_TIME has constant value ""Constant
SE_G3F_ACC_TIME has constant value ""Constant
SE_4C_ACC_TIME has constant value ""Constant
SE_G1F_ACC_TIME has constant value ""Constant
WEATHER is highly imbalanced (54.7%)Imbalance
NAME is highly imbalanced (82.7%)Imbalance
PRD_NAME is highly imbalanced (63.3%)Imbalance
TR_AGE has 10000 (100.0%) missing valuesMissing
TR_AGE is an unsupported type, check if it needs cleaning or further analysisUnsupported
RC_TIME has 227 (2.3%) zerosZeros
ORD1_CNT_T has 2269 (22.7%) zerosZeros
ORD2_CNT_T has 2048 (20.5%) zerosZeros
ORD1_CNT_Y has 7539 (75.4%) zerosZeros
ORD2_CNT_Y has 7181 (71.8%) zerosZeros
RC_CNT_Y has 4352 (43.5%) zerosZeros
JK_ORD1_CNT_Y has 1281 (12.8%) zerosZeros
JK_ORD2_CNT_Y has 1040 (10.4%) zerosZeros
JK_RC_CNT_Y has 679 (6.8%) zerosZeros
TR_ORD1_CNT_Y has 593 (5.9%) zerosZeros
TR_ORD2_CNT_Y has 593 (5.9%) zerosZeros
TR_RC_CNT_Y has 593 (5.9%) zerosZeros
SJ_S1F_ORD has 5460 (54.6%) zerosZeros
SJ_1C_ORD has 9837 (98.4%) zerosZeros
SJ_2C_ORD has 9733 (97.3%) zerosZeros
SJ_3C_ORD has 5460 (54.6%) zerosZeros
SJ_4C_ORD has 5460 (54.6%) zerosZeros
SJ_G1F_ORD has 5460 (54.6%) zerosZeros
JE_S1F_TIME has 5460 (54.6%) zerosZeros
JE_1C_TIME has 9837 (98.4%) zerosZeros
JE_2C_TIME has 9656 (96.6%) zerosZeros
JE_3C_TIME has 5460 (54.6%) zerosZeros
JE_G3F_TIME has 5460 (54.6%) zerosZeros
JE_4C_TIME has 5460 (54.6%) zerosZeros
JE_G1F_TIME has 5460 (54.6%) zerosZeros
BU_S1F_ORD has 4755 (47.5%) zerosZeros
BU_G8F_ORD has 9930 (99.3%) zerosZeros
BU_G6F_ORD has 8061 (80.6%) zerosZeros
BU_G4F_ORD has 5233 (52.3%) zerosZeros
BU_G3F_ORD has 4755 (47.5%) zerosZeros
BU_G2F_ORD has 4755 (47.5%) zerosZeros
BU_G1F_ORD has 4755 (47.5%) zerosZeros
BU_S1F_TIME has 4762 (47.6%) zerosZeros
BU_10-8F_TIME has 9933 (99.3%) zerosZeros
BU_8-6F_TIME has 7782 (77.8%) zerosZeros
BU_6-4F_TIME has 5239 (52.4%) zerosZeros
BU_4-2F_TIME has 4763 (47.6%) zerosZeros
BU_2F-G_TIME has 4767 (47.7%) zerosZeros
BU_3F-G_TIME has 4767 (47.7%) zerosZeros
BU_1F-G_TIME has 4767 (47.7%) zerosZeros
BU_S1F_ACC_TIME has 4762 (47.6%) zerosZeros
BU_G8F_ACC_TIME has 9930 (99.3%) zerosZeros
BU_G6F_ACC_TIME has 7782 (77.8%) zerosZeros
BU_G4F_ACC_TIME has 5239 (52.4%) zerosZeros
BU_G3F_ACC_TIME has 4763 (47.6%) zerosZeros
BU_G2F_ACC_TIME has 4763 (47.6%) zerosZeros
BU_G1F_ACC_TIME has 4767 (47.7%) zerosZeros

Reproduction

Analysis started2024-04-18 03:07:26.976593
Analysis finished2024-04-18 03:07:29.156652
Duration2.18 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

MEET
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
부산경남
5334 
제주
4666 

Length

Max length4
Median length4
Mean length3.0668
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row부산경남
2nd row제주
3rd row제주
4th row제주
5th row부산경남

Common Values

ValueCountFrequency (%)
부산경남 5334
53.3%
제주 4666
46.7%

Length

2024-04-18T12:07:29.216373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T12:07:29.297049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
부산경남 5334
53.3%
제주 4666
46.7%
Distinct581
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2019-01-04 00:00:00
Maximum2023-07-02 00:00:00
2024-04-18T12:07:29.381497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T12:07:29.499209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

RC_NO
Real number (ℝ)

Distinct15
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.7607
Minimum1
Maximum15
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T12:07:29.610075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q36
95-th percentile10
Maximum15
Range14
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.802574
Coefficient of variation (CV)0.58868948
Kurtosis0.47018549
Mean4.7607
Median Absolute Deviation (MAD)2
Skewness0.77593993
Sum47607
Variance7.854421
MonotonicityNot monotonic
2024-04-18T12:07:29.705850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
4 1315
13.2%
3 1304
13.0%
2 1279
12.8%
6 1276
12.8%
5 1236
12.4%
1 1180
11.8%
7 869
8.7%
8 583
5.8%
9 338
 
3.4%
10 222
 
2.2%
Other values (5) 398
 
4.0%
ValueCountFrequency (%)
1 1180
11.8%
2 1279
12.8%
3 1304
13.0%
4 1315
13.2%
5 1236
12.4%
6 1276
12.8%
7 869
8.7%
8 583
5.8%
9 338
 
3.4%
10 222
 
2.2%
ValueCountFrequency (%)
15 29
 
0.3%
14 47
 
0.5%
13 55
 
0.5%
12 107
 
1.1%
11 160
 
1.6%
10 222
 
2.2%
9 338
 
3.4%
8 583
5.8%
7 869
8.7%
6 1276
12.8%

RC_DIST
Categorical

Distinct15
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1200
1866 
1000
1827 
1400
1248 
800
1072 
900
836 
Other values (10)
3151 

Length

Max length4
Median length4
Mean length3.7993
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1600
2nd row1000
3rd row1000
4th row1110
5th row1600

Common Values

ValueCountFrequency (%)
1200 1866
18.7%
1000 1827
18.3%
1400 1248
12.5%
800 1072
10.7%
900 836
8.4%
1300 831
8.3%
1600 797
8.0%
1110 707
 
7.1%
1800 566
 
5.7%
1610 103
 
1.0%
Other values (5) 147
 
1.5%

Length

2024-04-18T12:07:29.818532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
1200 1866
18.7%
1000 1827
18.3%
1400 1248
12.5%
800 1072
10.7%
900 836
8.4%
1300 831
8.3%
1600 797
8.0%
1110 707
 
7.1%
1800 566
 
5.7%
1610 103
 
1.0%
Other values (5) 147
 
1.5%

RANK
Categorical

Distinct25
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
국6등급
1710 
국5등급
1277 
제5등급
1077 
제6등급
1049 
제4등급
738 
Other values (20)
4149 

Length

Max length5
Median length4
Mean length3.9537
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row국6등급
2nd row제5등급
3rd row제3등급
4th row제3등급
5th row국5등급

Common Values

ValueCountFrequency (%)
국6등급 1710
17.1%
국5등급 1277
12.8%
제5등급 1077
10.8%
제6등급 1049
10.5%
제4등급 738
 
7.4%
국4등급 588
 
5.9%
혼4등급 572
 
5.7%
제3등급 459
 
4.6%
국3등급 301
 
3.0%
제2등급 289
 
2.9%
Other values (15) 1940
19.4%

Length

2024-04-18T12:07:29.923877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
국6등급 1710
17.1%
국5등급 1277
12.8%
제5등급 1077
10.8%
제6등급 1049
10.5%
제4등급 738
 
7.4%
국4등급 588
 
5.9%
혼4등급 572
 
5.7%
제3등급 459
 
4.6%
국3등급 301
 
3.0%
제2등급 289
 
2.9%
Other values (15) 1940
19.4%

WEATHER
Categorical

IMBALANCE 

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
맑음
7041 
흐림
2087 
 
531
안개
 
174
 
104
Other values (2)
 
63

Length

Max length2
Median length2
Mean length1.9308
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row맑음
2nd row흐림
3rd row맑음
4th row맑음
5th row맑음

Common Values

ValueCountFrequency (%)
맑음 7041
70.4%
흐림 2087
 
20.9%
531
 
5.3%
안개 174
 
1.7%
104
 
1.0%
- 57
 
0.6%
강풍 6
 
0.1%

Length

2024-04-18T12:07:30.030304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T12:07:30.119783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
맑음 7041
70.4%
흐림 2087
 
20.9%
531
 
5.3%
안개 174
 
1.7%
104
 
1.0%
57
 
0.6%
강풍 6
 
0.1%

TRACK
Categorical

Distinct27
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
건조 (4%)
1955 
건조 (3%)
1629 
양호 (6%)
708 
건조 (2%)
607 
불량 (20%)
589 
Other values (22)
4512 

Length

Max length8
Median length7
Mean length7.2893
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row건조 (2%)
2nd row불량 (20%)
3rd row건조 (4%)
4th row다습 (13%)
5th row건조 (3%)

Common Values

ValueCountFrequency (%)
건조 (4%) 1955
19.6%
건조 (3%) 1629
16.3%
양호 (6%) 708
 
7.1%
건조 (2%) 607
 
6.1%
불량 (20%) 589
 
5.9%
건조 (5%) 523
 
5.2%
양호 (7%) 460
 
4.6%
양호 (8%) 457
 
4.6%
다습 (10%) 447
 
4.5%
다습 (12%) 426
 
4.3%
Other values (17) 2199
22.0%

Length

2024-04-18T12:07:30.226540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
건조 4714
23.6%
양호 2081
10.4%
4 1955
9.8%
다습 1674
 
8.4%
3 1629
 
8.2%
포화 874
 
4.4%
6 708
 
3.6%
2 607
 
3.0%
불량 600
 
3.0%
20 589
 
3.0%
Other values (16) 4512
22.6%

ORD
Real number (ℝ)

Distinct21
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.9544
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T12:07:30.325604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median6
Q39
95-th percentile12
Maximum99
Range98
Interquartile range (IQR)6

Descriptive statistics

Standard deviation13.84709
Coefficient of variation (CV)1.7408088
Kurtosis34.912956
Mean7.9544
Median Absolute Deviation (MAD)3
Skewness5.8962706
Sum79544
Variance191.74189
MonotonicityNot monotonic
2024-04-18T12:07:30.420617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
7 952
9.5%
2 944
9.4%
4 931
9.3%
6 925
9.2%
3 917
9.2%
5 909
9.1%
8 906
9.1%
1 900
9.0%
9 841
8.4%
10 766
7.7%
Other values (11) 1009
10.1%
ValueCountFrequency (%)
1 900
9.0%
2 944
9.4%
3 917
9.2%
4 931
9.3%
5 909
9.1%
6 925
9.2%
7 952
9.5%
8 906
9.1%
9 841
8.4%
10 766
7.7%
ValueCountFrequency (%)
99 105
 
1.1%
95 41
 
0.4%
94 61
 
0.6%
93 6
 
0.1%
92 14
 
0.1%
16 1
 
< 0.1%
15 1
 
< 0.1%
14 44
 
0.4%
13 68
 
0.7%
12 296
3.0%

CHUL_NO
Categorical

Distinct16
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2
983 
7
949 
6
942 
3
933 
4
932 
Other values (11)
5261 

Length

Max length2
Median length1
Mean length1.1676
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row5
2nd row7
3rd row1
4th row7
5th row4

Common Values

ValueCountFrequency (%)
2 983
9.8%
7 949
9.5%
6 942
9.4%
3 933
9.3%
4 932
9.3%
5 925
9.2%
1 925
9.2%
8 892
8.9%
9 843
8.4%
10 798
8.0%
Other values (6) 878
8.8%

Length

2024-04-18T12:07:30.522038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2 983
9.8%
7 949
9.5%
6 942
9.4%
3 933
9.3%
4 932
9.3%
5 925
9.2%
1 925
9.2%
8 892
8.9%
9 843
8.4%
10 798
8.0%
Other values (6) 878
8.8%
Distinct3587
Distinct (%)35.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-18T12:07:30.777621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length4
Mean length4.1533
Min length2

Characters and Unicode

Total characters41533
Distinct characters664
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1251 ?
Unique (%)12.5%

Sample

1st row배다리강호
2nd row아라강자
3rd row봉성대로
4th row원동히트
5th row우라노스제이
ValueCountFrequency (%)
실력행사 16
 
0.2%
성읍장군 16
 
0.2%
판치 15
 
0.1%
달빛요정 14
 
0.1%
백점여왕 13
 
0.1%
사키사키 13
 
0.1%
탐라신비 13
 
0.1%
강한보스 12
 
0.1%
해리킹 12
 
0.1%
무소불위 12
 
0.1%
Other values (3577) 9864
98.6%
2024-04-18T12:07:31.144439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1434
 
3.5%
1370
 
3.3%
690
 
1.7%
671
 
1.6%
669
 
1.6%
611
 
1.5%
588
 
1.4%
577
 
1.4%
451
 
1.1%
445
 
1.1%
Other values (654) 34027
81.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 41441
99.8%
Open Punctuation 46
 
0.1%
Close Punctuation 46
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1434
 
3.5%
1370
 
3.3%
690
 
1.7%
671
 
1.6%
669
 
1.6%
611
 
1.5%
588
 
1.4%
577
 
1.4%
451
 
1.1%
445
 
1.1%
Other values (652) 33935
81.9%
Open Punctuation
ValueCountFrequency (%)
[ 46
100.0%
Close Punctuation
ValueCountFrequency (%)
] 46
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 41441
99.8%
Common 92
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1434
 
3.5%
1370
 
3.3%
690
 
1.7%
671
 
1.6%
669
 
1.6%
611
 
1.5%
588
 
1.4%
577
 
1.4%
451
 
1.1%
445
 
1.1%
Other values (652) 33935
81.9%
Common
ValueCountFrequency (%)
[ 46
50.0%
] 46
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 41441
99.8%
ASCII 92
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1434
 
3.5%
1370
 
3.3%
690
 
1.7%
671
 
1.6%
669
 
1.6%
611
 
1.5%
588
 
1.4%
577
 
1.4%
451
 
1.1%
445
 
1.1%
Other values (652) 33935
81.9%
ASCII
ValueCountFrequency (%)
[ 46
50.0%
] 46
50.0%

HR_NO
Real number (ℝ)

Distinct3587
Distinct (%)35.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1276772.2
Minimum28504
Maximum3103760
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T12:07:31.267461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum28504
5-th percentile36940
Q140854.75
median45491
Q33017523.2
95-th percentile3018959
Maximum3103760
Range3075256
Interquartile range (IQR)2976668.5

Descriptive statistics

Standard deviation1416741.7
Coefficient of variation (CV)1.1096277
Kurtosis-1.7884456
Mean1276772.2
Median Absolute Deviation (MAD)9492
Skewness0.37668453
Sum1.2767722 × 1010
Variance2.0071572 × 1012
MonotonicityNot monotonic
2024-04-18T12:07:31.390853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3017855 16
 
0.2%
3018013 16
 
0.2%
3016982 15
 
0.1%
3017823 14
 
0.1%
3017320 13
 
0.1%
37934 13
 
0.1%
3017629 13
 
0.1%
3016392 12
 
0.1%
3017817 12
 
0.1%
1017438 12
 
0.1%
Other values (3577) 9864
98.6%
ValueCountFrequency (%)
28504 1
 
< 0.1%
29334 5
0.1%
29683 2
 
< 0.1%
29707 6
0.1%
29981 4
< 0.1%
30867 1
 
< 0.1%
30983 1
 
< 0.1%
31374 5
0.1%
31533 1
 
< 0.1%
31573 5
0.1%
ValueCountFrequency (%)
3103760 1
 
< 0.1%
3103590 5
0.1%
3103549 1
 
< 0.1%
3103545 1
 
< 0.1%
3103542 2
 
< 0.1%
3103231 1
 
< 0.1%
3102960 1
 
< 0.1%
3102958 3
< 0.1%
3102957 1
 
< 0.1%
3102945 2
 
< 0.1%

NAME
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
한국
9296 
미국
 
649
호주
 
40
일본
 
11
뉴질랜드
 
4

Length

Max length4
Median length2
Mean length2.0008
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
한국 9296
93.0%
미국 649
 
6.5%
호주 40
 
0.4%
일본 11
 
0.1%
뉴질랜드 4
 
< 0.1%

Length

2024-04-18T12:07:31.507092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T12:07:31.600683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
한국 9296
93.0%
미국 649
 
6.5%
호주 40
 
0.4%
일본 11
 
0.1%
뉴질랜드 4
 
< 0.1%

PRD_NAME
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
국산
9296 
외산
 
704

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
국산 9296
93.0%
외산 704
 
7.0%

Length

2024-04-18T12:07:31.691097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T12:07:31.770861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국산 9296
93.0%
외산 704
 
7.0%

AGE
Real number (ℝ)

Distinct15
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.2103
Minimum2
Maximum16
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T12:07:31.842155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q13
median4
Q35
95-th percentile7
Maximum16
Range14
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.6706146
Coefficient of variation (CV)0.39679229
Kurtosis5.4404477
Mean4.2103
Median Absolute Deviation (MAD)1
Skewness1.8037305
Sum42103
Variance2.790953
MonotonicityNot monotonic
2024-04-18T12:07:31.938058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
3 3236
32.4%
4 2843
28.4%
5 1602
16.0%
6 776
 
7.8%
2 698
 
7.0%
7 399
 
4.0%
8 190
 
1.9%
9 106
 
1.1%
10 67
 
0.7%
11 29
 
0.3%
Other values (5) 54
 
0.5%
ValueCountFrequency (%)
2 698
 
7.0%
3 3236
32.4%
4 2843
28.4%
5 1602
16.0%
6 776
 
7.8%
7 399
 
4.0%
8 190
 
1.9%
9 106
 
1.1%
10 67
 
0.7%
11 29
 
0.3%
ValueCountFrequency (%)
16 4
 
< 0.1%
15 3
 
< 0.1%
14 5
 
0.1%
13 22
 
0.2%
12 20
 
0.2%
11 29
 
0.3%
10 67
 
0.7%
9 106
 
1.1%
8 190
1.9%
7 399
4.0%

SEX
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
3799 
3336 
2865 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3799
38.0%
3336
33.4%
2865
28.6%

Length

2024-04-18T12:07:32.041721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T12:07:32.118463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3799
38.0%
3336
33.4%
2865
28.6%

RC_TIME
Real number (ℝ)

ZEROS 

Distinct676
Distinct (%)6.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean84.0545
Minimum0
Maximum146.2
Zeros227
Zeros (%)2.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T12:07:32.216280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile62.8
Q175.1
median84.1
Q394
95-th percentile117
Maximum146.2
Range146.2
Interquartile range (IQR)18.9

Descriptive statistics

Standard deviation19.602237
Coefficient of variation (CV)0.23320865
Kurtosis5.8855872
Mean84.0545
Median Absolute Deviation (MAD)9.1
Skewness-1.311357
Sum840545
Variance384.24768
MonotonicityNot monotonic
2024-04-18T12:07:32.336995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 227
 
2.3%
75.2 54
 
0.5%
76.3 54
 
0.5%
77.4 53
 
0.5%
75.8 50
 
0.5%
87.2 50
 
0.5%
76.2 49
 
0.5%
76.0 48
 
0.5%
77.0 48
 
0.5%
76.7 48
 
0.5%
Other values (666) 9319
93.2%
ValueCountFrequency (%)
0.0 227
2.3%
59.5 1
 
< 0.1%
60.0 4
 
< 0.1%
60.2 1
 
< 0.1%
60.3 3
 
< 0.1%
60.4 2
 
< 0.1%
60.5 3
 
< 0.1%
60.6 4
 
< 0.1%
60.7 5
 
0.1%
60.8 1
 
< 0.1%
ValueCountFrequency (%)
146.2 1
< 0.1%
144.0 1
< 0.1%
142.5 1
< 0.1%
141.5 1
< 0.1%
141.3 1
< 0.1%
140.1 1
< 0.1%
139.9 1
< 0.1%
138.0 1
< 0.1%
135.6 1
< 0.1%
135.3 1
< 0.1%

ORD1_CNT_T
Real number (ℝ)

ZEROS 

Distinct29
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.0431
Minimum0
Maximum35
Zeros2269
Zeros (%)22.7%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T12:07:32.450126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q34
95-th percentile10
Maximum35
Range35
Interquartile range (IQR)3

Descriptive statistics

Standard deviation3.5796821
Coefficient of variation (CV)1.1763275
Kurtosis11.030946
Mean3.0431
Median Absolute Deviation (MAD)2
Skewness2.6108604
Sum30431
Variance12.814124
MonotonicityNot monotonic
2024-04-18T12:07:32.552951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
0 2269
22.7%
1 1883
18.8%
2 1496
15.0%
3 1218
12.2%
4 853
 
8.5%
5 608
 
6.1%
6 453
 
4.5%
7 281
 
2.8%
8 267
 
2.7%
10 146
 
1.5%
Other values (19) 526
 
5.3%
ValueCountFrequency (%)
0 2269
22.7%
1 1883
18.8%
2 1496
15.0%
3 1218
12.2%
4 853
 
8.5%
5 608
 
6.1%
6 453
 
4.5%
7 281
 
2.8%
8 267
 
2.7%
9 138
 
1.4%
ValueCountFrequency (%)
35 3
 
< 0.1%
30 7
0.1%
28 3
 
< 0.1%
27 9
0.1%
24 9
0.1%
23 10
0.1%
22 9
0.1%
21 3
 
< 0.1%
20 15
0.1%
19 6
 
0.1%

ORD2_CNT_T
Real number (ℝ)

ZEROS 

Distinct25
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.0632
Minimum0
Maximum35
Zeros2048
Zeros (%)20.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T12:07:32.658815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q34
95-th percentile9
Maximum35
Range35
Interquartile range (IQR)3

Descriptive statistics

Standard deviation3.3115408
Coefficient of variation (CV)1.0810723
Kurtosis9.9123196
Mean3.0632
Median Absolute Deviation (MAD)2
Skewness2.3767971
Sum30632
Variance10.966302
MonotonicityNot monotonic
2024-04-18T12:07:32.764118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0 2048
20.5%
2 1753
17.5%
1 1696
17.0%
3 1271
12.7%
4 891
8.9%
5 584
 
5.8%
6 559
 
5.6%
7 398
 
4.0%
8 216
 
2.2%
9 189
 
1.9%
Other values (15) 395
 
4.0%
ValueCountFrequency (%)
0 2048
20.5%
1 1696
17.0%
2 1753
17.5%
3 1271
12.7%
4 891
8.9%
5 584
 
5.8%
6 559
 
5.6%
7 398
 
4.0%
8 216
 
2.2%
9 189
 
1.9%
ValueCountFrequency (%)
35 4
 
< 0.1%
27 5
 
0.1%
23 11
 
0.1%
22 6
 
0.1%
21 2
 
< 0.1%
20 11
 
0.1%
19 19
0.2%
18 16
0.2%
17 32
0.3%
15 16
0.2%

RC_CNT_T
Real number (ℝ)

Distinct131
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.7957
Minimum0
Maximum199
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T12:07:32.882946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q113
median23
Q337
95-th percentile82
Maximum199
Range199
Interquartile range (IQR)24

Descriptive statistics

Standard deviation25.167743
Coefficient of variation (CV)0.84467703
Kurtosis7.1726287
Mean29.7957
Median Absolute Deviation (MAD)11
Skewness2.1966713
Sum297957
Variance633.4153
MonotonicityNot monotonic
2024-04-18T12:07:33.003336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
23 302
 
3.0%
20 296
 
3.0%
17 283
 
2.8%
19 276
 
2.8%
15 273
 
2.7%
18 270
 
2.7%
7 268
 
2.7%
12 266
 
2.7%
10 262
 
2.6%
27 255
 
2.5%
Other values (121) 7249
72.5%
ValueCountFrequency (%)
0 1
 
< 0.1%
1 51
 
0.5%
2 94
 
0.9%
3 140
1.4%
4 150
1.5%
5 209
2.1%
6 213
2.1%
7 268
2.7%
8 216
2.2%
9 241
2.4%
ValueCountFrequency (%)
199 11
0.1%
194 4
 
< 0.1%
187 9
0.1%
171 5
 
0.1%
157 3
 
< 0.1%
155 3
 
< 0.1%
150 6
 
0.1%
149 3
 
< 0.1%
147 16
0.2%
136 4
 
< 0.1%

ORD1_CNT_Y
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3894
Minimum0
Maximum6
Zeros7539
Zeros (%)75.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T12:07:33.109685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.80413451
Coefficient of variation (CV)2.0650604
Kurtosis6.6590983
Mean0.3894
Median Absolute Deviation (MAD)0
Skewness2.4605166
Sum3894
Variance0.6466323
MonotonicityNot monotonic
2024-04-18T12:07:33.218929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 7539
75.4%
1 1486
 
14.9%
2 639
 
6.4%
3 244
 
2.4%
4 63
 
0.6%
5 28
 
0.3%
6 1
 
< 0.1%
ValueCountFrequency (%)
0 7539
75.4%
1 1486
 
14.9%
2 639
 
6.4%
3 244
 
2.4%
4 63
 
0.6%
5 28
 
0.3%
6 1
 
< 0.1%
ValueCountFrequency (%)
6 1
 
< 0.1%
5 28
 
0.3%
4 63
 
0.6%
3 244
 
2.4%
2 639
 
6.4%
1 1486
 
14.9%
0 7539
75.4%

ORD2_CNT_Y
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4553
Minimum0
Maximum6
Zeros7181
Zeros (%)71.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T12:07:33.332528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum6
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.86352561
Coefficient of variation (CV)1.896608
Kurtosis5.1604617
Mean0.4553
Median Absolute Deviation (MAD)0
Skewness2.2073338
Sum4553
Variance0.74567648
MonotonicityNot monotonic
2024-04-18T12:07:33.423445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 7181
71.8%
1 1656
 
16.6%
2 742
 
7.4%
3 298
 
3.0%
4 102
 
1.0%
5 15
 
0.1%
6 6
 
0.1%
ValueCountFrequency (%)
0 7181
71.8%
1 1656
 
16.6%
2 742
 
7.4%
3 298
 
3.0%
4 102
 
1.0%
5 15
 
0.1%
6 6
 
0.1%
ValueCountFrequency (%)
6 6
 
0.1%
5 15
 
0.1%
4 102
 
1.0%
3 298
 
3.0%
2 742
 
7.4%
1 1656
 
16.6%
0 7181
71.8%

RC_CNT_Y
Real number (ℝ)

ZEROS 

Distinct25
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.084
Minimum0
Maximum24
Zeros4352
Zeros (%)43.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T12:07:33.521116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q310
95-th percentile16
Maximum24
Range24
Interquartile range (IQR)10

Descriptive statistics

Standard deviation5.7750913
Coefficient of variation (CV)1.1359346
Kurtosis-0.33552813
Mean5.084
Median Absolute Deviation (MAD)3
Skewness0.8447676
Sum50840
Variance33.351679
MonotonicityNot monotonic
2024-04-18T12:07:33.621041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0 4352
43.5%
6 470
 
4.7%
12 436
 
4.4%
10 419
 
4.2%
8 418
 
4.2%
9 393
 
3.9%
5 378
 
3.8%
11 375
 
3.8%
7 371
 
3.7%
4 311
 
3.1%
Other values (15) 2077
20.8%
ValueCountFrequency (%)
0 4352
43.5%
1 239
 
2.4%
2 269
 
2.7%
3 298
 
3.0%
4 311
 
3.1%
5 378
 
3.8%
6 470
 
4.7%
7 371
 
3.7%
8 418
 
4.2%
9 393
 
3.9%
ValueCountFrequency (%)
24 12
 
0.1%
23 19
 
0.2%
22 35
 
0.4%
21 18
 
0.2%
20 46
 
0.5%
19 63
 
0.6%
18 142
1.4%
17 144
1.4%
16 119
1.2%
15 159
1.6%

WG_HR
Text

Distinct4280
Distinct (%)42.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-18T12:07:33.873252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length7
Mean length6.9222
Min length3

Characters and Unicode

Total characters69222
Distinct characters14
Distinct categories5 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2094 ?
Unique (%)20.9%

Sample

1st row542(+9)
2nd row275(-4)
3rd row261(-3)
4th row290(+4)
5th row494(+3)
ValueCountFrequency (%)
0 112
 
1.1%
277 15
 
0.1%
278 14
 
0.1%
486(+6 13
 
0.1%
284(-2 13
 
0.1%
285 12
 
0.1%
276(-1 12
 
0.1%
476(+1 12
 
0.1%
486(+1 12
 
0.1%
495 12
 
0.1%
Other values (4270) 9773
97.7%
2024-04-18T12:07:34.239752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 10000
14.4%
) 10000
14.4%
2 6773
9.8%
4 6624
9.6%
- 4670
6.7%
+ 4444
6.4%
1 4444
6.4%
5 4065
 
5.9%
3 4042
 
5.8%
7 3097
 
4.5%
Other values (4) 11063
16.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 40108
57.9%
Open Punctuation 10000
 
14.4%
Close Punctuation 10000
 
14.4%
Dash Punctuation 4670
 
6.7%
Math Symbol 4444
 
6.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 6773
16.9%
4 6624
16.5%
1 4444
11.1%
5 4065
10.1%
3 4042
10.1%
7 3097
7.7%
8 2987
7.4%
6 2850
7.1%
9 2645
 
6.6%
0 2581
 
6.4%
Open Punctuation
ValueCountFrequency (%)
( 10000
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10000
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4670
100.0%
Math Symbol
ValueCountFrequency (%)
+ 4444
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 69222
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
( 10000
14.4%
) 10000
14.4%
2 6773
9.8%
4 6624
9.6%
- 4670
6.7%
+ 4444
6.4%
1 4444
6.4%
5 4065
 
5.9%
3 4042
 
5.8%
7 3097
 
4.5%
Other values (4) 11063
16.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 69222
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 10000
14.4%
) 10000
14.4%
2 6773
9.8%
4 6624
9.6%
- 4670
6.7%
+ 4444
6.4%
1 4444
6.4%
5 4065
 
5.9%
3 4042
 
5.8%
7 3097
 
4.5%
Other values (4) 11063
16.0%

WG_BUDAM
Real number (ℝ)

Distinct33
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean54.45945
Minimum50
Maximum68
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T12:07:34.363305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum50
5-th percentile51
Q153
median54
Q356
95-th percentile58
Maximum68
Range18
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.245481
Coefficient of variation (CV)0.041232164
Kurtosis0.54873752
Mean54.45945
Median Absolute Deviation (MAD)2
Skewness0.50756115
Sum544594.5
Variance5.0421849
MonotonicityNot monotonic
2024-04-18T12:07:34.488168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
54.0 1435
14.3%
55.0 1158
11.6%
56.0 1055
10.5%
52.0 1031
10.3%
53.0 799
8.0%
51.0 776
7.8%
57.0 632
 
6.3%
54.5 433
 
4.3%
53.5 386
 
3.9%
55.5 374
 
3.7%
Other values (23) 1921
19.2%
ValueCountFrequency (%)
50.0 61
 
0.6%
50.5 11
 
0.1%
51.0 776
7.8%
51.5 206
 
2.1%
52.0 1031
10.3%
52.5 351
 
3.5%
53.0 799
8.0%
53.5 386
 
3.9%
54.0 1435
14.3%
54.5 433
 
4.3%
ValueCountFrequency (%)
68.0 1
 
< 0.1%
65.5 2
 
< 0.1%
65.0 8
0.1%
64.5 2
 
< 0.1%
64.0 5
0.1%
63.5 2
 
< 0.1%
63.0 7
0.1%
62.5 4
 
< 0.1%
62.0 11
0.1%
61.5 7
0.1%
Distinct115
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-18T12:07:34.754865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length3.0049
Min length2

Characters and Unicode

Total characters30049
Distinct characters123
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique13 ?
Unique (%)0.1%

Sample

1st row전진구
2nd row문성호
3rd row이성민
4th row문성호
5th row최시대
ValueCountFrequency (%)
최시대 285
 
2.9%
문현진 284
 
2.8%
강수한 279
 
2.8%
전현준 271
 
2.7%
원유일 241
 
2.4%
서승운 239
 
2.4%
다실바 237
 
2.4%
박재이 235
 
2.4%
송경윤 228
 
2.3%
안득수 225
 
2.2%
Other values (105) 7476
74.8%
2024-04-18T12:07:35.141018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1950
 
6.5%
1227
 
4.1%
1134
 
3.8%
1064
 
3.5%
765
 
2.5%
753
 
2.5%
702
 
2.3%
702
 
2.3%
700
 
2.3%
662
 
2.2%
Other values (113) 20390
67.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 30049
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1950
 
6.5%
1227
 
4.1%
1134
 
3.8%
1064
 
3.5%
765
 
2.5%
753
 
2.5%
702
 
2.3%
702
 
2.3%
700
 
2.3%
662
 
2.2%
Other values (113) 20390
67.9%

Most occurring scripts

ValueCountFrequency (%)
Hangul 30049
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1950
 
6.5%
1227
 
4.1%
1134
 
3.8%
1064
 
3.5%
765
 
2.5%
753
 
2.5%
702
 
2.3%
702
 
2.3%
700
 
2.3%
662
 
2.2%
Other values (113) 20390
67.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 30049
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1950
 
6.5%
1227
 
4.1%
1134
 
3.8%
1064
 
3.5%
765
 
2.5%
753
 
2.5%
702
 
2.3%
702
 
2.3%
700
 
2.3%
662
 
2.2%
Other values (113) 20390
67.9%

JK_NO
Real number (ℝ)

Distinct115
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean44366.479
Minimum3006
Maximum80610
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T12:07:35.264557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3006
5-th percentile3029
Q13075
median80376
Q380532
95-th percentile80600
Maximum80610
Range77604
Interquartile range (IQR)77457

Descriptive statistics

Standard deviation38628.977
Coefficient of variation (CV)0.87067935
Kurtosis-1.9824527
Mean44366.479
Median Absolute Deviation (MAD)228
Skewness-0.13391154
Sum4.4366479 × 108
Variance1.4921979 × 109
MonotonicityNot monotonic
2024-04-18T12:07:35.388445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
80423 285
 
2.9%
3080 284
 
2.8%
3077 279
 
2.8%
3070 271
 
2.7%
3075 241
 
2.4%
80484 239
 
2.4%
80568 237
 
2.4%
80546 235
 
2.4%
80421 228
 
2.3%
3053 225
 
2.2%
Other values (105) 7476
74.8%
ValueCountFrequency (%)
3006 150
1.5%
3009 56
 
0.6%
3028 180
1.8%
3029 199
2.0%
3034 39
 
0.4%
3038 49
 
0.5%
3044 187
1.9%
3047 48
 
0.5%
3053 225
2.2%
3054 25
 
0.2%
ValueCountFrequency (%)
80610 20
 
0.2%
80607 84
0.8%
80606 107
1.1%
80605 107
1.1%
80604 62
0.6%
80603 1
 
< 0.1%
80602 2
 
< 0.1%
80601 61
0.6%
80600 147
1.5%
80599 70
0.7%

JK_AGE
Real number (ℝ)

Distinct33
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.6801
Minimum22
Maximum57
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T12:07:35.498049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum22
5-th percentile26
Q130
median36
Q342
95-th percentile52
Maximum57
Range35
Interquartile range (IQR)12

Descriptive statistics

Standard deviation8.0200372
Coefficient of variation (CV)0.21864818
Kurtosis-0.48861102
Mean36.6801
Median Absolute Deviation (MAD)6
Skewness0.4924315
Sum366801
Variance64.320996
MonotonicityNot monotonic
2024-04-18T12:07:35.602869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
42 955
 
9.6%
27 846
 
8.5%
32 738
 
7.4%
44 712
 
7.1%
35 656
 
6.6%
29 612
 
6.1%
36 585
 
5.9%
30 580
 
5.8%
26 426
 
4.3%
40 412
 
4.1%
Other values (23) 3478
34.8%
ValueCountFrequency (%)
22 1
 
< 0.1%
23 62
 
0.6%
24 84
 
0.8%
25 127
 
1.3%
26 426
4.3%
27 846
8.5%
28 165
 
1.7%
29 612
6.1%
30 580
5.8%
31 192
 
1.9%
ValueCountFrequency (%)
57 166
1.7%
56 6
 
0.1%
55 150
1.5%
53 56
 
0.6%
52 180
1.8%
51 199
2.0%
49 106
1.1%
48 236
2.4%
47 48
 
0.5%
45 147
1.5%

JK_CAREER
Real number (ℝ)

Distinct29
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.1342
Minimum1
Maximum36
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T12:07:35.712543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q17
median11
Q318
95-th percentile31
Maximum36
Range35
Interquartile range (IQR)11

Descriptive statistics

Standard deviation8.2071875
Coefficient of variation (CV)0.62487152
Kurtosis-0.13386221
Mean13.1342
Median Absolute Deviation (MAD)5
Skewness0.71165774
Sum131342
Variance67.357926
MonotonicityNot monotonic
2024-04-18T12:07:35.831532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
6 1007
 
10.1%
18 997
 
10.0%
7 875
 
8.8%
16 533
 
5.3%
24 529
 
5.3%
15 527
 
5.3%
11 523
 
5.2%
9 516
 
5.2%
10 450
 
4.5%
2 426
 
4.3%
Other values (19) 3617
36.2%
ValueCountFrequency (%)
1 419
4.2%
2 426
4.3%
3 259
 
2.6%
4 2
 
< 0.1%
5 163
 
1.6%
6 1007
10.1%
7 875
8.8%
8 369
 
3.7%
9 516
5.2%
10 450
4.5%
ValueCountFrequency (%)
36 8
 
0.1%
35 3
 
< 0.1%
33 296
3.0%
31 379
3.8%
27 226
2.3%
26 49
 
0.5%
25 10
 
0.1%
24 529
5.3%
23 1
 
< 0.1%
22 14
 
0.1%

JK_ORD1_CNT_T
Real number (ℝ)

Distinct102
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean391.509
Minimum7
Maximum2212
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T12:07:35.954818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile35
Q1126
median345
Q3653
95-th percentile1141
Maximum2212
Range2205
Interquartile range (IQR)527

Descriptive statistics

Standard deviation331.96923
Coefficient of variation (CV)0.84792234
Kurtosis1.036058
Mean391.509
Median Absolute Deviation (MAD)219
Skewness1.1385311
Sum3915090
Variance110203.57
MonotonicityNot monotonic
2024-04-18T12:07:36.072423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
345 374
 
3.7%
788 285
 
2.9%
446 284
 
2.8%
418 279
 
2.8%
959 271
 
2.7%
53 242
 
2.4%
444 241
 
2.4%
681 239
 
2.4%
347 237
 
2.4%
191 235
 
2.4%
Other values (92) 7313
73.1%
ValueCountFrequency (%)
7 34
0.3%
8 61
0.6%
11 20
 
0.2%
12 27
 
0.3%
17 62
0.6%
20 68
0.7%
25 70
0.7%
27 39
0.4%
28 28
 
0.3%
33 84
0.8%
ValueCountFrequency (%)
2212 7
 
0.1%
1831 10
 
0.1%
1327 150
1.5%
1204 216
2.2%
1141 199
2.0%
959 271
2.7%
935 138
1.4%
889 4
 
< 0.1%
883 7
 
0.1%
874 21
 
0.2%

JK_ORD2_CNT_T
Real number (ℝ)

Distinct109
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean375.1037
Minimum8
Maximum2052
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T12:07:36.188245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile39
Q1157
median336
Q3550
95-th percentile944
Maximum2052
Range2044
Interquartile range (IQR)393

Descriptive statistics

Standard deviation288.638
Coefficient of variation (CV)0.76948855
Kurtosis0.91764373
Mean375.1037
Median Absolute Deviation (MAD)194
Skewness1.0231627
Sum3751037
Variance83311.895
MonotonicityNot monotonic
2024-04-18T12:07:36.309559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
691 285
 
2.9%
430 284
 
2.8%
373 279
 
2.8%
810 271
 
2.7%
56 267
 
2.7%
469 241
 
2.4%
574 239
 
2.4%
336 237
 
2.4%
246 235
 
2.4%
473 228
 
2.3%
Other values (99) 7434
74.3%
ValueCountFrequency (%)
8 61
0.6%
14 27
 
0.3%
16 20
 
0.2%
18 34
0.3%
20 38
0.4%
27 66
0.7%
28 30
0.3%
29 70
0.7%
30 39
0.4%
35 63
0.6%
ValueCountFrequency (%)
2052 7
 
0.1%
1376 10
 
0.1%
1206 199
2.0%
1057 150
1.5%
944 216
2.2%
839 4
 
< 0.1%
830 180
1.8%
823 3
 
< 0.1%
822 9
 
0.1%
810 271
2.7%

JK_RC_CNT_T
Real number (ℝ)

Distinct115
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3569.9531
Minimum148
Maximum15372
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T12:07:36.430990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum148
5-th percentile520
Q11749
median3025
Q34999
95-th percentile8509
Maximum15372
Range15224
Interquartile range (IQR)3250

Descriptive statistics

Standard deviation2362.5431
Coefficient of variation (CV)0.66178549
Kurtosis0.3026752
Mean3569.9531
Median Absolute Deviation (MAD)1455
Skewness0.79224076
Sum35699531
Variance5581610.1
MonotonicityNot monotonic
2024-04-18T12:07:36.549150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5903 285
 
2.9%
3614 284
 
2.8%
3086 279
 
2.8%
6130 271
 
2.7%
4730 241
 
2.4%
4215 239
 
2.4%
2494 237
 
2.4%
2444 235
 
2.4%
4999 228
 
2.3%
6445 225
 
2.2%
Other values (105) 7476
74.8%
ValueCountFrequency (%)
148 27
0.3%
169 20
 
0.2%
241 30
0.3%
263 38
0.4%
302 61
0.6%
318 34
0.3%
397 62
0.6%
466 66
0.7%
481 38
0.4%
503 39
0.4%
ValueCountFrequency (%)
15372 7
 
0.1%
10297 199
2.0%
8767 150
1.5%
8737 1
 
< 0.1%
8669 10
 
0.1%
8509 180
1.8%
7455 3
 
< 0.1%
7146 216
2.2%
7049 4
 
< 0.1%
6798 1
 
< 0.1%

JK_ORD1_CNT_Y
Real number (ℝ)

ZEROS 

Distinct47
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.9711
Minimum0
Maximum89
Zeros1281
Zeros (%)12.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T12:07:36.674136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q18
median22
Q342
95-th percentile69
Maximum89
Range89
Interquartile range (IQR)34

Descriptive statistics

Standard deviation23.386931
Coefficient of variation (CV)0.83611054
Kurtosis-0.5146205
Mean27.9711
Median Absolute Deviation (MAD)19
Skewness0.64853104
Sum279711
Variance546.94856
MonotonicityNot monotonic
2024-04-18T12:07:36.804661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
0 1281
 
12.8%
18 614
 
6.1%
42 453
 
4.5%
22 366
 
3.7%
3 357
 
3.6%
37 337
 
3.4%
28 329
 
3.3%
59 294
 
2.9%
62 285
 
2.9%
52 282
 
2.8%
Other values (37) 5402
54.0%
ValueCountFrequency (%)
0 1281
12.8%
1 195
 
1.9%
2 215
 
2.1%
3 357
 
3.6%
4 31
 
0.3%
5 1
 
< 0.1%
6 161
 
1.6%
7 113
 
1.1%
8 199
 
2.0%
9 203
 
2.0%
ValueCountFrequency (%)
89 239
2.4%
69 271
2.7%
68 237
2.4%
64 170
1.7%
63 10
 
0.1%
62 285
2.9%
60 217
2.2%
59 294
2.9%
54 174
1.7%
52 282
2.8%

JK_ORD2_CNT_Y
Real number (ℝ)

ZEROS 

Distinct46
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.3859
Minimum0
Maximum65
Zeros1040
Zeros (%)10.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T12:07:36.921185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q19
median21
Q344
95-th percentile54
Maximum65
Range65
Interquartile range (IQR)35

Descriptive statistics

Standard deviation18.896865
Coefficient of variation (CV)0.71617283
Kurtosis-1.3101063
Mean26.3859
Median Absolute Deviation (MAD)15
Skewness0.16429102
Sum263859
Variance357.09149
MonotonicityNot monotonic
2024-04-18T12:07:37.037457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
0 1040
 
10.4%
54 750
 
7.5%
18 581
 
5.8%
19 530
 
5.3%
53 520
 
5.2%
30 455
 
4.5%
11 396
 
4.0%
29 371
 
3.7%
46 361
 
3.6%
9 359
 
3.6%
Other values (36) 4637
46.4%
ValueCountFrequency (%)
0 1040
10.4%
1 297
 
3.0%
2 99
 
1.0%
3 123
 
1.2%
4 114
 
1.1%
5 1
 
< 0.1%
7 354
 
3.5%
8 208
 
2.1%
9 359
 
3.6%
10 74
 
0.7%
ValueCountFrequency (%)
65 10
 
0.1%
58 279
 
2.8%
54 750
7.5%
53 520
5.2%
52 284
 
2.8%
51 3
 
< 0.1%
50 169
 
1.7%
46 361
3.6%
45 8
 
0.1%
44 222
 
2.2%

JK_RC_CNT_Y
Real number (ℝ)

ZEROS 

Distinct90
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean264.0948
Minimum0
Maximum476
Zeros679
Zeros (%)6.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T12:07:37.174065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1171
median318
Q3389
95-th percentile443
Maximum476
Range476
Interquartile range (IQR)218

Descriptive statistics

Standard deviation144.46462
Coefficient of variation (CV)0.54701804
Kurtosis-1.0530124
Mean264.0948
Median Absolute Deviation (MAD)101
Skewness-0.52340813
Sum2640948
Variance20870.026
MonotonicityNot monotonic
2024-04-18T12:07:37.294336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 679
 
6.8%
443 285
 
2.9%
456 284
 
2.8%
419 279
 
2.8%
434 271
 
2.7%
402 241
 
2.4%
393 239
 
2.4%
404 237
 
2.4%
383 235
 
2.4%
425 232
 
2.3%
Other values (80) 7018
70.2%
ValueCountFrequency (%)
0 679
6.8%
1 52
 
0.5%
3 127
 
1.3%
6 35
 
0.4%
8 34
 
0.3%
21 82
 
0.8%
30 28
 
0.3%
31 56
 
0.6%
37 113
 
1.1%
44 39
 
0.4%
ValueCountFrequency (%)
476 3
 
< 0.1%
456 284
2.8%
443 285
2.9%
434 271
2.7%
425 232
2.3%
419 279
2.8%
418 3
 
< 0.1%
413 169
1.7%
404 237
2.4%
402 241
2.4%
Distinct83
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-18T12:07:37.493239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters30000
Distinct characters106
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique16 ?
Unique (%)0.2%

Sample

1st row조용배
2nd row좌윤철
3rd row고영덕
4th row김성오
5th row권승주
ValueCountFrequency (%)
강형곤 308
 
3.1%
백광열 286
 
2.9%
강영진 279
 
2.8%
이준호 279
 
2.8%
이태용 277
 
2.8%
고영덕 265
 
2.6%
김길홍 259
 
2.6%
좌윤철 258
 
2.6%
고성동 258
 
2.6%
양귀선 256
 
2.6%
Other values (73) 7275
72.8%
2024-04-18T12:07:37.789417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1694
 
5.6%
1474
 
4.9%
1253
 
4.2%
1159
 
3.9%
1106
 
3.7%
707
 
2.4%
705
 
2.4%
680
 
2.3%
653
 
2.2%
648
 
2.2%
Other values (96) 19921
66.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 30000
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1694
 
5.6%
1474
 
4.9%
1253
 
4.2%
1159
 
3.9%
1106
 
3.7%
707
 
2.4%
705
 
2.4%
680
 
2.3%
653
 
2.2%
648
 
2.2%
Other values (96) 19921
66.4%

Most occurring scripts

ValueCountFrequency (%)
Hangul 30000
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1694
 
5.6%
1474
 
4.9%
1253
 
4.2%
1159
 
3.9%
1106
 
3.7%
707
 
2.4%
705
 
2.4%
680
 
2.3%
653
 
2.2%
648
 
2.2%
Other values (96) 19921
66.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 30000
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1694
 
5.6%
1474
 
4.9%
1253
 
4.2%
1159
 
3.9%
1106
 
3.7%
707
 
2.4%
705
 
2.4%
680
 
2.3%
653
 
2.2%
648
 
2.2%
Other values (96) 19921
66.4%

TR_NO
Text

Distinct83
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-18T12:07:37.991248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length6
Min length6

Characters and Unicode

Total characters60000
Distinct characters11
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique16 ?
Unique (%)0.2%

Sample

1st row070137
2nd row002009
3rd row002026
4th row002024
5th row070086
ValueCountFrequency (%)
070134 308
 
3.1%
070130 286
 
2.9%
002033 279
 
2.8%
002029 279
 
2.8%
002034 277
 
2.8%
002026 265
 
2.6%
002038 259
 
2.6%
002009 258
 
2.6%
002008 258
 
2.6%
070125 256
 
2.6%
Other values (73) 7275
72.8%
2024-04-18T12:07:38.293386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 26483
44.1%
2 9042
 
15.1%
1 6260
 
10.4%
7 6135
 
10.2%
3 4571
 
7.6%
8 1925
 
3.2%
6 1893
 
3.2%
4 1601
 
2.7%
9 1268
 
2.1%
5 817
 
1.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 59995
> 99.9%
Uppercase Letter 5
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 26483
44.1%
2 9042
 
15.1%
1 6260
 
10.4%
7 6135
 
10.2%
3 4571
 
7.6%
8 1925
 
3.2%
6 1893
 
3.2%
4 1601
 
2.7%
9 1268
 
2.1%
5 817
 
1.4%
Uppercase Letter
ValueCountFrequency (%)
B 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 59995
> 99.9%
Latin 5
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 26483
44.1%
2 9042
 
15.1%
1 6260
 
10.4%
7 6135
 
10.2%
3 4571
 
7.6%
8 1925
 
3.2%
6 1893
 
3.2%
4 1601
 
2.7%
9 1268
 
2.1%
5 817
 
1.4%
Latin
ValueCountFrequency (%)
B 5
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 60000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 26483
44.1%
2 9042
 
15.1%
1 6260
 
10.4%
7 6135
 
10.2%
3 4571
 
7.6%
8 1925
 
3.2%
6 1893
 
3.2%
4 1601
 
2.7%
9 1268
 
2.1%
5 817
 
1.4%

TR_AGE
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

TR_CAREER
Real number (ℝ)

Distinct30
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.3292
Minimum1
Maximum35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T12:07:38.410210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q112
median19
Q319
95-th percentile32
Maximum35
Range34
Interquartile range (IQR)7

Descriptive statistics

Standard deviation7.4322373
Coefficient of variation (CV)0.42888519
Kurtosis-0.42920824
Mean17.3292
Median Absolute Deviation (MAD)4
Skewness-0.063984762
Sum173292
Variance55.238151
MonotonicityNot monotonic
2024-04-18T12:07:38.533081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
19 3047
30.5%
27 855
 
8.6%
15 855
 
8.6%
32 516
 
5.2%
17 454
 
4.5%
5 428
 
4.3%
12 395
 
4.0%
8 386
 
3.9%
9 374
 
3.7%
13 280
 
2.8%
Other values (20) 2410
24.1%
ValueCountFrequency (%)
1 96
 
1.0%
2 72
 
0.7%
3 125
 
1.2%
4 219
2.2%
5 428
4.3%
7 212
2.1%
8 386
3.9%
9 374
3.7%
10 3
 
< 0.1%
11 255
2.5%
ValueCountFrequency (%)
35 1
 
< 0.1%
34 1
 
< 0.1%
32 516
5.2%
29 221
 
2.2%
28 1
 
< 0.1%
27 855
8.6%
26 197
 
2.0%
25 8
 
0.1%
24 196
 
2.0%
23 268
 
2.7%

TR_ORD1_CNT_T
Real number (ℝ)

Distinct80
Distinct (%)0.8%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean608.12481
Minimum9
Maximum1547
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T12:07:38.661401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile116
Q1293
median550
Q3924
95-th percentile1330
Maximum1547
Range1538
Interquartile range (IQR)631

Descriptive statistics

Standard deviation382.99231
Coefficient of variation (CV)0.62979228
Kurtosis-0.51308466
Mean608.12481
Median Absolute Deviation (MAD)257
Skewness0.59246162
Sum6080640
Variance146683.11
MonotonicityNot monotonic
2024-04-18T12:07:38.790191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
483 308
 
3.1%
924 286
 
2.9%
670 279
 
2.8%
666 279
 
2.8%
748 277
 
2.8%
1330 265
 
2.6%
216 259
 
2.6%
1161 258
 
2.6%
1078 258
 
2.6%
370 256
 
2.6%
Other values (70) 7274
72.7%
ValueCountFrequency (%)
9 16
 
0.2%
13 37
 
0.4%
26 58
 
0.6%
40 70
0.7%
42 66
 
0.7%
52 43
 
0.4%
60 2
 
< 0.1%
72 1
 
< 0.1%
88 169
1.7%
102 2
 
< 0.1%
ValueCountFrequency (%)
1547 227
2.3%
1432 193
1.9%
1330 265
2.6%
1211 221
2.2%
1161 258
2.6%
1078 258
2.6%
1036 255
2.5%
1021 200
2.0%
1016 4
 
< 0.1%
965 173
1.7%

TR_ORD2_CNT_T
Real number (ℝ)

Distinct80
Distinct (%)0.8%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean610.22252
Minimum10
Maximum1313
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T12:07:38.917453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile131
Q1292
median547
Q3874
95-th percentile1277
Maximum1313
Range1303
Interquartile range (IQR)582

Descriptive statistics

Standard deviation370.48122
Coefficient of variation (CV)0.60712479
Kurtosis-0.88446215
Mean610.22252
Median Absolute Deviation (MAD)259
Skewness0.4873525
Sum6101615
Variance137256.33
MonotonicityNot monotonic
2024-04-18T12:07:39.034431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
547 308
 
3.1%
831 286
 
2.9%
667 279
 
2.8%
702 279
 
2.8%
598 277
 
2.8%
1245 265
 
2.6%
211 259
 
2.6%
1232 258
 
2.6%
1277 258
 
2.6%
409 256
 
2.6%
Other values (70) 7274
72.7%
ValueCountFrequency (%)
10 16
 
0.2%
14 37
 
0.4%
18 58
 
0.6%
42 70
0.7%
49 43
 
0.4%
50 2
 
< 0.1%
56 1
 
< 0.1%
57 66
 
0.7%
86 169
1.7%
131 111
1.1%
ValueCountFrequency (%)
1313 221
2.2%
1279 255
2.5%
1277 258
2.6%
1245 265
2.6%
1235 227
2.3%
1232 258
2.6%
1102 200
2.0%
1085 1
 
< 0.1%
1021 173
1.7%
936 249
2.5%

TR_RC_CNT_T
Real number (ℝ)

Distinct82
Distinct (%)0.8%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean5947.3752
Minimum110
Maximum13727
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T12:07:39.151673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum110
5-th percentile1268
Q13669.5
median5304
Q37980
95-th percentile12632
Maximum13727
Range13617
Interquartile range (IQR)4310.5

Descriptive statistics

Standard deviation3408.8404
Coefficient of variation (CV)0.57316719
Kurtosis-0.40290336
Mean5947.3752
Median Absolute Deviation (MAD)2072
Skewness0.60345792
Sum59467805
Variance11620193
MonotonicityNot monotonic
2024-04-18T12:07:39.274974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6086 308
 
3.1%
7506 286
 
2.9%
5448 279
 
2.8%
6512 279
 
2.8%
4705 277
 
2.8%
10543 265
 
2.6%
1841 259
 
2.6%
13727 258
 
2.6%
12436 258
 
2.6%
5338 256
 
2.6%
Other values (72) 7274
72.7%
ValueCountFrequency (%)
110 16
 
0.2%
244 37
 
0.4%
336 2
 
< 0.1%
360 58
 
0.6%
380 43
 
0.4%
420 66
 
0.7%
468 70
 
0.7%
686 1
 
< 0.1%
1047 169
1.7%
1268 219
2.2%
ValueCountFrequency (%)
13727 258
2.6%
12632 255
2.5%
12538 221
2.2%
12509 1
 
< 0.1%
12436 258
2.6%
10781 200
2.0%
10543 265
2.6%
10161 227
2.3%
9818 197
2.0%
9087 173
1.7%

TR_ORD1_CNT_Y
Real number (ℝ)

ZEROS 

Distinct37
Distinct (%)0.4%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean30.622762
Minimum0
Maximum63
Zeros593
Zeros (%)5.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T12:07:39.411138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q118
median30
Q342
95-th percentile59
Maximum63
Range63
Interquartile range (IQR)24

Descriptive statistics

Standard deviation17.477265
Coefficient of variation (CV)0.57072791
Kurtosis-1.0194099
Mean30.622762
Median Absolute Deviation (MAD)12
Skewness0.047930694
Sum306197
Variance305.4548
MonotonicityNot monotonic
2024-04-18T12:07:39.524963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
54 1018
 
10.2%
41 764
 
7.6%
33 663
 
6.6%
0 593
 
5.9%
18 547
 
5.5%
53 537
 
5.4%
24 448
 
4.5%
19 401
 
4.0%
15 332
 
3.3%
63 279
 
2.8%
Other values (27) 4417
44.2%
ValueCountFrequency (%)
0 593
5.9%
4 173
 
1.7%
5 190
 
1.9%
7 241
2.4%
9 55
 
0.5%
10 205
 
2.1%
12 110
 
1.1%
14 101
 
1.0%
15 332
3.3%
16 125
 
1.2%
ValueCountFrequency (%)
63 279
 
2.8%
61 3
 
< 0.1%
59 259
 
2.6%
54 1018
10.2%
53 537
5.4%
48 227
 
2.3%
42 219
 
2.2%
41 764
7.6%
40 228
 
2.3%
39 253
 
2.5%

TR_ORD2_CNT_Y
Real number (ℝ)

ZEROS 

Distinct41
Distinct (%)0.4%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean30.463146
Minimum0
Maximum70
Zeros593
Zeros (%)5.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T12:07:39.638246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q120
median31
Q343
95-th percentile51
Maximum70
Range70
Interquartile range (IQR)23

Descriptive statistics

Standard deviation15.510665
Coefficient of variation (CV)0.50916163
Kurtosis-0.25226204
Mean30.463146
Median Absolute Deviation (MAD)11
Skewness-0.010942414
Sum304601
Variance240.58073
MonotonicityNot monotonic
2024-04-18T12:07:39.746845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
27 854
 
8.5%
35 745
 
7.4%
0 593
 
5.9%
49 537
 
5.4%
31 470
 
4.7%
20 468
 
4.7%
42 466
 
4.7%
25 419
 
4.2%
34 402
 
4.0%
7 372
 
3.7%
Other values (31) 4673
46.7%
ValueCountFrequency (%)
0 593
5.9%
5 1
 
< 0.1%
7 372
3.7%
8 37
 
0.4%
9 148
 
1.5%
10 16
 
0.2%
11 290
2.9%
12 1
 
< 0.1%
13 112
 
1.1%
14 100
 
1.0%
ValueCountFrequency (%)
70 251
2.5%
51 286
2.9%
50 200
 
2.0%
49 537
5.4%
48 279
2.8%
47 259
2.6%
46 196
 
2.0%
44 265
2.6%
43 228
2.3%
42 466
4.7%

TR_RC_CNT_Y
Real number (ℝ)

ZEROS 

Distinct62
Distinct (%)0.6%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean309.85139
Minimum0
Maximum521
Zeros593
Zeros (%)5.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T12:07:39.870442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1253
median326
Q3399
95-th percentile493
Maximum521
Range521
Interquartile range (IQR)146

Descriptive statistics

Standard deviation123.28781
Coefficient of variation (CV)0.39789335
Kurtosis0.37469285
Mean309.85139
Median Absolute Deviation (MAD)73
Skewness-0.73610892
Sum3098204
Variance15199.883
MonotonicityNot monotonic
2024-04-18T12:07:40.830589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 593
 
5.9%
432 538
 
5.4%
343 498
 
5.0%
321 437
 
4.4%
287 409
 
4.1%
253 372
 
3.7%
257 363
 
3.6%
521 308
 
3.1%
433 286
 
2.9%
445 279
 
2.8%
Other values (52) 5916
59.2%
ValueCountFrequency (%)
0 593
5.9%
107 190
 
1.9%
110 16
 
0.2%
136 110
 
1.1%
145 231
 
2.3%
156 1
 
< 0.1%
157 1
 
< 0.1%
165 37
 
0.4%
167 124
 
1.2%
174 148
 
1.5%
ValueCountFrequency (%)
521 308
3.1%
493 255
2.5%
486 251
2.5%
476 3
 
< 0.1%
445 279
2.8%
433 286
2.9%
432 538
5.4%
408 265
2.6%
400 258
2.6%
399 256
2.6%

HR_ORD1_CNT_T
Real number (ℝ)

Distinct206
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean86.2279
Minimum2
Maximum1031
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T12:07:40.941229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile26
Q157
median81
Q3112
95-th percentile162
Maximum1031
Range1029
Interquartile range (IQR)55

Descriptive statistics

Standard deviation41.400543
Coefficient of variation (CV)0.48012932
Kurtosis26.632741
Mean86.2279
Median Absolute Deviation (MAD)26
Skewness1.6343386
Sum862279
Variance1714.005
MonotonicityNot monotonic
2024-04-18T12:07:41.058702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
60 145
 
1.5%
75 127
 
1.3%
58 125
 
1.2%
79 122
 
1.2%
64 121
 
1.2%
78 121
 
1.2%
56 120
 
1.2%
81 117
 
1.2%
59 116
 
1.2%
65 115
 
1.1%
Other values (196) 8771
87.7%
ValueCountFrequency (%)
2 1
 
< 0.1%
6 2
 
< 0.1%
7 1
 
< 0.1%
8 4
 
< 0.1%
9 3
 
< 0.1%
10 2
 
< 0.1%
11 5
 
0.1%
12 20
0.2%
13 4
 
< 0.1%
14 5
 
0.1%
ValueCountFrequency (%)
1031 1
 
< 0.1%
213 1
 
< 0.1%
212 4
< 0.1%
211 2
 
< 0.1%
210 2
 
< 0.1%
209 1
 
< 0.1%
207 3
< 0.1%
206 2
 
< 0.1%
204 5
0.1%
203 4
< 0.1%

HR_ORD2_CNT_T
Real number (ℝ)

Distinct192
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean82.5767
Minimum5
Maximum940
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T12:07:41.178099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile32
Q160
median79
Q3104
95-th percentile142
Maximum940
Range935
Interquartile range (IQR)44

Descriptive statistics

Standard deviation34.871314
Coefficient of variation (CV)0.42228999
Kurtosis36.43097
Mean82.5767
Median Absolute Deviation (MAD)22
Skewness1.9514061
Sum825767
Variance1216.0085
MonotonicityNot monotonic
2024-04-18T12:07:41.291585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
64 173
 
1.7%
75 146
 
1.5%
70 146
 
1.5%
66 143
 
1.4%
73 141
 
1.4%
69 140
 
1.4%
99 138
 
1.4%
71 138
 
1.4%
88 137
 
1.4%
74 134
 
1.3%
Other values (182) 8564
85.6%
ValueCountFrequency (%)
5 1
 
< 0.1%
7 2
 
< 0.1%
8 4
 
< 0.1%
9 3
 
< 0.1%
10 5
 
0.1%
11 3
 
< 0.1%
12 14
0.1%
13 6
 
0.1%
14 4
 
< 0.1%
15 15
0.1%
ValueCountFrequency (%)
940 1
 
< 0.1%
202 4
< 0.1%
200 9
0.1%
198 1
 
< 0.1%
195 3
 
< 0.1%
194 2
 
< 0.1%
193 6
0.1%
192 7
0.1%
190 4
< 0.1%
189 4
< 0.1%

HR_RC_CNT_T
Real number (ℝ)

Distinct1163
Distinct (%)11.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean772.1602
Minimum112
Maximum8732
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T12:07:41.403744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum112
5-th percentile365.95
Q1595
median745
Q3933
95-th percentile1215.05
Maximum8732
Range8620
Interquartile range (IQR)338

Descriptive statistics

Standard deviation272.23239
Coefficient of variation (CV)0.35255947
Kurtosis72.934956
Mean772.1602
Median Absolute Deviation (MAD)169
Skewness2.8551621
Sum7721602
Variance74110.475
MonotonicityNot monotonic
2024-04-18T12:07:41.517415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
706 32
 
0.3%
689 32
 
0.3%
735 31
 
0.3%
730 30
 
0.3%
653 29
 
0.3%
927 29
 
0.3%
863 29
 
0.3%
827 29
 
0.3%
688 29
 
0.3%
655 29
 
0.3%
Other values (1153) 9701
97.0%
ValueCountFrequency (%)
112 1
< 0.1%
127 2
< 0.1%
135 2
< 0.1%
137 1
< 0.1%
145 1
< 0.1%
153 1
< 0.1%
157 1
< 0.1%
158 1
< 0.1%
161 1
< 0.1%
164 1
< 0.1%
ValueCountFrequency (%)
8732 1
 
< 0.1%
1911 3
< 0.1%
1882 2
 
< 0.1%
1879 7
0.1%
1859 1
 
< 0.1%
1855 1
 
< 0.1%
1788 2
 
< 0.1%
1733 5
0.1%
1681 5
0.1%
1677 3
< 0.1%

SJ_S1F_ORD
Real number (ℝ)

ZEROS 

Distinct13
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.5274
Minimum0
Maximum12
Zeros5460
Zeros (%)54.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T12:07:41.613904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q35
95-th percentile10
Maximum12
Range12
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.4190084
Coefficient of variation (CV)1.3527769
Kurtosis-0.35692977
Mean2.5274
Median Absolute Deviation (MAD)0
Skewness1.0349225
Sum25274
Variance11.689618
MonotonicityNot monotonic
2024-04-18T12:07:41.723298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 5460
54.6%
1 480
 
4.8%
4 466
 
4.7%
6 457
 
4.6%
7 453
 
4.5%
5 447
 
4.5%
9 440
 
4.4%
2 431
 
4.3%
3 430
 
4.3%
8 426
 
4.3%
Other values (3) 510
 
5.1%
ValueCountFrequency (%)
0 5460
54.6%
1 480
 
4.8%
2 431
 
4.3%
3 430
 
4.3%
4 466
 
4.7%
5 447
 
4.5%
6 457
 
4.6%
7 453
 
4.5%
8 426
 
4.3%
9 440
 
4.4%
ValueCountFrequency (%)
12 51
 
0.5%
11 60
 
0.6%
10 399
4.0%
9 440
4.4%
8 426
4.3%
7 453
4.5%
6 457
4.6%
5 447
4.5%
4 466
4.7%
3 430
4.3%

SJ_1C_ORD
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0847
Minimum0
Maximum11
Zeros9837
Zeros (%)98.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T12:07:41.818298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum11
Range11
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.75165312
Coefficient of variation (CV)8.8742989
Kurtosis105.63469
Mean0.0847
Median Absolute Deviation (MAD)0
Skewness9.9875413
Sum847
Variance0.56498241
MonotonicityNot monotonic
2024-04-18T12:07:41.908170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 9837
98.4%
1 23
 
0.2%
3 22
 
0.2%
7 17
 
0.2%
6 17
 
0.2%
5 17
 
0.2%
9 16
 
0.2%
4 16
 
0.2%
8 14
 
0.1%
2 10
 
0.1%
Other values (2) 11
 
0.1%
ValueCountFrequency (%)
0 9837
98.4%
1 23
 
0.2%
2 10
 
0.1%
3 22
 
0.2%
4 16
 
0.2%
5 17
 
0.2%
6 17
 
0.2%
7 17
 
0.2%
8 14
 
0.1%
9 16
 
0.2%
ValueCountFrequency (%)
11 2
 
< 0.1%
10 9
0.1%
9 16
0.2%
8 14
0.1%
7 17
0.2%
6 17
0.2%
5 17
0.2%
4 16
0.2%
3 22
0.2%
2 10
0.1%

SJ_2C_ORD
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1379
Minimum0
Maximum11
Zeros9733
Zeros (%)97.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T12:07:42.007894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum11
Range11
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.96186075
Coefficient of variation (CV)6.9750598
Kurtosis64.021256
Mean0.1379
Median Absolute Deviation (MAD)0
Skewness7.8266474
Sum1379
Variance0.92517611
MonotonicityNot monotonic
2024-04-18T12:07:42.098006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 9733
97.3%
1 41
 
0.4%
3 34
 
0.3%
7 30
 
0.3%
6 30
 
0.3%
4 27
 
0.3%
9 26
 
0.3%
2 21
 
0.2%
8 20
 
0.2%
10 20
 
0.2%
Other values (2) 18
 
0.2%
ValueCountFrequency (%)
0 9733
97.3%
1 41
 
0.4%
2 21
 
0.2%
3 34
 
0.3%
4 27
 
0.3%
5 16
 
0.2%
6 30
 
0.3%
7 30
 
0.3%
8 20
 
0.2%
9 26
 
0.3%
ValueCountFrequency (%)
11 2
 
< 0.1%
10 20
0.2%
9 26
0.3%
8 20
0.2%
7 30
0.3%
6 30
0.3%
5 16
0.2%
4 27
0.3%
3 34
0.3%
2 21
0.2%

SJ_3C_ORD
Real number (ℝ)

ZEROS 

Distinct13
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.5307
Minimum0
Maximum12
Zeros5460
Zeros (%)54.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T12:07:42.195831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q35
95-th percentile10
Maximum12
Range12
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.4197115
Coefficient of variation (CV)1.3512908
Kurtosis-0.37924316
Mean2.5307
Median Absolute Deviation (MAD)0
Skewness1.0284052
Sum25307
Variance11.694427
MonotonicityNot monotonic
2024-04-18T12:07:42.316153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 5460
54.6%
1 476
 
4.8%
7 465
 
4.7%
4 453
 
4.5%
6 451
 
4.5%
5 450
 
4.5%
9 435
 
4.3%
2 435
 
4.3%
8 434
 
4.3%
3 430
 
4.3%
Other values (3) 511
 
5.1%
ValueCountFrequency (%)
0 5460
54.6%
1 476
 
4.8%
2 435
 
4.3%
3 430
 
4.3%
4 453
 
4.5%
5 450
 
4.5%
6 451
 
4.5%
7 465
 
4.7%
8 434
 
4.3%
9 435
 
4.3%
ValueCountFrequency (%)
12 45
 
0.4%
11 61
 
0.6%
10 405
4.0%
9 435
4.3%
8 434
4.3%
7 465
4.7%
6 451
4.5%
5 450
4.5%
4 453
4.5%
3 430
4.3%

SJ_G3F_ORD
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
10000 

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 10000
100.0%

Length

2024-04-18T12:07:42.440130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T12:07:42.534046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 10000
100.0%

SJ_4C_ORD
Real number (ℝ)

ZEROS 

Distinct13
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.5312
Minimum0
Maximum12
Zeros5460
Zeros (%)54.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T12:07:42.609313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q35
95-th percentile10
Maximum12
Range12
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.4215197
Coefficient of variation (CV)1.3517382
Kurtosis-0.36612589
Mean2.5312
Median Absolute Deviation (MAD)0
Skewness1.031676
Sum25312
Variance11.706797
MonotonicityNot monotonic
2024-04-18T12:07:42.703607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 5460
54.6%
5 481
 
4.8%
1 477
 
4.8%
7 449
 
4.5%
8 444
 
4.4%
6 443
 
4.4%
4 438
 
4.4%
3 437
 
4.4%
2 429
 
4.3%
9 426
 
4.3%
Other values (3) 516
 
5.2%
ValueCountFrequency (%)
0 5460
54.6%
1 477
 
4.8%
2 429
 
4.3%
3 437
 
4.4%
4 438
 
4.4%
5 481
 
4.8%
6 443
 
4.4%
7 449
 
4.5%
8 444
 
4.4%
9 426
 
4.3%
ValueCountFrequency (%)
12 47
 
0.5%
11 68
 
0.7%
10 401
4.0%
9 426
4.3%
8 444
4.4%
7 449
4.5%
6 443
4.4%
5 481
4.8%
4 438
4.4%
3 437
4.4%

SJ_G1F_ORD
Real number (ℝ)

ZEROS 

Distinct13
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.5275
Minimum0
Maximum12
Zeros5460
Zeros (%)54.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T12:07:42.803193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q35
95-th percentile9
Maximum12
Range12
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.4134453
Coefficient of variation (CV)1.3505224
Kurtosis-0.35102516
Mean2.5275
Median Absolute Deviation (MAD)0
Skewness1.0335988
Sum25275
Variance11.651609
MonotonicityNot monotonic
2024-04-18T12:07:42.907740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 5460
54.6%
4 471
 
4.7%
1 470
 
4.7%
8 461
 
4.6%
5 460
 
4.6%
6 456
 
4.6%
3 452
 
4.5%
7 430
 
4.3%
9 429
 
4.3%
2 414
 
4.1%
Other values (3) 497
 
5.0%
ValueCountFrequency (%)
0 5460
54.6%
1 470
 
4.7%
2 414
 
4.1%
3 452
 
4.5%
4 471
 
4.7%
5 460
 
4.6%
6 456
 
4.6%
7 430
 
4.3%
8 461
 
4.6%
9 429
 
4.3%
ValueCountFrequency (%)
12 53
 
0.5%
11 66
 
0.7%
10 378
3.8%
9 429
4.3%
8 461
4.6%
7 430
4.3%
6 456
4.6%
5 460
4.6%
4 471
4.7%
3 452
4.5%

SE_S1F_ACC_TIME
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
10000 

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 10000
100.0%

Length

2024-04-18T12:07:43.014506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T12:07:43.097360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 10000
100.0%

SE_1C_ACC_TIME
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
10000 

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 10000
100.0%

Length

2024-04-18T12:07:43.183199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T12:07:43.260512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 10000
100.0%

SE_2C_ACC_TIME
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
10000 

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 10000
100.0%

Length

2024-04-18T12:07:43.339226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T12:07:43.416812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 10000
100.0%

SE_3C_ACC_TIME
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
10000 

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 10000
100.0%

Length

2024-04-18T12:07:43.494480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T12:07:43.567741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 10000
100.0%

SE_G3F_ACC_TIME
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
10000 

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 10000
100.0%

Length

2024-04-18T12:07:43.647053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T12:07:43.723913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 10000
100.0%

SE_4C_ACC_TIME
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
10000 

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 10000
100.0%

Length

2024-04-18T12:07:43.805126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T12:07:43.881185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 10000
100.0%

SE_G1F_ACC_TIME
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
10000 

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 10000
100.0%

Length

2024-04-18T12:07:43.960697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T12:07:44.046027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 10000
100.0%

JE_S1F_TIME
Real number (ℝ)

ZEROS 

Distinct66
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.95782
Minimum0
Maximum20.8
Zeros5460
Zeros (%)54.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T12:07:44.135595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q317.6
95-th percentile18.7
Maximum20.8
Range20.8
Interquartile range (IQR)17.6

Descriptive statistics

Standard deviation8.7559709
Coefficient of variation (CV)1.1002977
Kurtosis-1.9348116
Mean7.95782
Median Absolute Deviation (MAD)0
Skewness0.20388605
Sum79578.2
Variance76.667026
MonotonicityNot monotonic
2024-04-18T12:07:44.259832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 5460
54.6%
17.9 237
 
2.4%
17.7 232
 
2.3%
17.4 218
 
2.2%
17.5 217
 
2.2%
17.6 204
 
2.0%
17.8 202
 
2.0%
18.1 202
 
2.0%
18.0 198
 
2.0%
18.3 176
 
1.8%
Other values (56) 2654
26.5%
ValueCountFrequency (%)
0.0 5460
54.6%
13.7 1
 
< 0.1%
14.0 1
 
< 0.1%
14.1 1
 
< 0.1%
14.3 2
 
< 0.1%
14.4 2
 
< 0.1%
14.5 3
 
< 0.1%
14.6 12
 
0.1%
14.7 11
 
0.1%
14.8 6
 
0.1%
ValueCountFrequency (%)
20.8 2
 
< 0.1%
20.4 1
 
< 0.1%
20.3 3
 
< 0.1%
20.1 3
 
< 0.1%
20.0 4
 
< 0.1%
19.9 3
 
< 0.1%
19.8 6
 
0.1%
19.7 7
 
0.1%
19.6 15
0.1%
19.5 21
0.2%

JE_1C_TIME
Real number (ℝ)

ZEROS 

Distinct62
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.30882
Minimum0
Maximum28.3
Zeros9837
Zeros (%)98.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T12:07:44.373495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum28.3
Range28.3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.4448636
Coefficient of variation (CV)7.9167916
Kurtosis66.85936
Mean0.30882
Median Absolute Deviation (MAD)0
Skewness8.1210269
Sum3088.2
Variance5.9773579
MonotonicityNot monotonic
2024-04-18T12:07:44.483182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 9837
98.4%
16.0 10
 
0.1%
16.5 8
 
0.1%
15.9 7
 
0.1%
16.3 6
 
0.1%
16.4 6
 
0.1%
16.2 6
 
0.1%
15.7 6
 
0.1%
16.7 5
 
0.1%
15.6 5
 
0.1%
Other values (52) 104
 
1.0%
ValueCountFrequency (%)
0.0 9837
98.4%
15.0 1
 
< 0.1%
15.2 1
 
< 0.1%
15.3 2
 
< 0.1%
15.4 1
 
< 0.1%
15.5 3
 
< 0.1%
15.6 5
 
0.1%
15.7 6
 
0.1%
15.8 2
 
< 0.1%
15.9 7
 
0.1%
ValueCountFrequency (%)
28.3 1
 
< 0.1%
28.0 1
 
< 0.1%
27.9 1
 
< 0.1%
27.5 1
 
< 0.1%
27.3 1
 
< 0.1%
27.2 2
< 0.1%
27.1 2
< 0.1%
26.8 1
 
< 0.1%
26.7 3
< 0.1%
26.6 1
 
< 0.1%

JE_2C_TIME
Real number (ℝ)

ZEROS 

Distinct112
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.81887
Minimum0
Maximum42.3
Zeros9656
Zeros (%)96.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T12:07:44.614252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum42.3
Range42.3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.6220118
Coefficient of variation (CV)5.644378
Kurtosis38.139423
Mean0.81887
Median Absolute Deviation (MAD)0
Skewness6.0893118
Sum8188.7
Variance21.362993
MonotonicityNot monotonic
2024-04-18T12:07:44.729271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 9656
96.6%
15.8 15
 
0.1%
15.4 14
 
0.1%
16.3 12
 
0.1%
15.6 11
 
0.1%
15.9 10
 
0.1%
15.5 10
 
0.1%
16.0 10
 
0.1%
15.7 8
 
0.1%
29.0 8
 
0.1%
Other values (102) 246
 
2.5%
ValueCountFrequency (%)
0.0 9656
96.6%
14.7 1
 
< 0.1%
14.8 1
 
< 0.1%
14.9 5
 
0.1%
15.0 2
 
< 0.1%
15.1 5
 
0.1%
15.2 8
 
0.1%
15.3 6
 
0.1%
15.4 14
 
0.1%
15.5 10
 
0.1%
ValueCountFrequency (%)
42.3 1
< 0.1%
41.8 1
< 0.1%
41.3 1
< 0.1%
41.2 1
< 0.1%
41.1 1
< 0.1%
40.9 2
< 0.1%
40.8 1
< 0.1%
40.7 2
< 0.1%
40.4 1
< 0.1%
40.3 2
< 0.1%

JE_3C_TIME
Real number (ℝ)

ZEROS 

Distinct527
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.36822
Minimum0
Maximum88.1
Zeros5460
Zeros (%)54.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T12:07:44.841645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q332.8
95-th percentile49.9
Maximum88.1
Range88.1
Interquartile range (IQR)32.8

Descriptive statistics

Standard deviation19.399285
Coefficient of variation (CV)1.2622987
Kurtosis0.3034203
Mean15.36822
Median Absolute Deviation (MAD)0
Skewness1.0278772
Sum153682.2
Variance376.33224
MonotonicityNot monotonic
2024-04-18T12:07:44.962956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 5460
54.6%
17.7 77
 
0.8%
17.9 76
 
0.8%
18.1 73
 
0.7%
17.8 70
 
0.7%
18.3 66
 
0.7%
18.0 66
 
0.7%
18.4 66
 
0.7%
18.2 66
 
0.7%
34.3 54
 
0.5%
Other values (517) 3926
39.3%
ValueCountFrequency (%)
0.0 5460
54.6%
16.5 1
 
< 0.1%
16.6 1
 
< 0.1%
16.7 3
 
< 0.1%
16.8 4
 
< 0.1%
16.9 7
 
0.1%
17.0 3
 
< 0.1%
17.1 11
 
0.1%
17.2 19
 
0.2%
17.3 41
 
0.4%
ValueCountFrequency (%)
88.1 1
< 0.1%
87.5 1
< 0.1%
86.9 1
< 0.1%
86.8 1
< 0.1%
86.7 2
< 0.1%
86.6 1
< 0.1%
86.5 1
< 0.1%
86.4 1
< 0.1%
86.3 1
< 0.1%
86.2 1
< 0.1%

JE_G3F_TIME
Real number (ℝ)

ZEROS 

Distinct206
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.74798
Minimum0
Maximum62.2
Zeros5460
Zeros (%)54.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T12:07:45.100638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q350.8
95-th percentile53.7
Maximum62.2
Range62.2
Interquartile range (IQR)50.8

Descriptive statistics

Standard deviation25.083498
Coefficient of variation (CV)1.1026693
Kurtosis-1.9175951
Mean22.74798
Median Absolute Deviation (MAD)0
Skewness0.21551104
Sum227479.8
Variance629.18188
MonotonicityNot monotonic
2024-04-18T12:07:45.228893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 5460
54.6%
51.6 108
 
1.1%
51.0 101
 
1.0%
50.8 96
 
1.0%
51.4 92
 
0.9%
51.9 88
 
0.9%
51.7 87
 
0.9%
52.2 84
 
0.8%
51.1 83
 
0.8%
50.3 83
 
0.8%
Other values (196) 3718
37.2%
ValueCountFrequency (%)
0.0 5460
54.6%
39.0 1
 
< 0.1%
39.3 1
 
< 0.1%
39.5 1
 
< 0.1%
39.6 2
 
< 0.1%
39.7 2
 
< 0.1%
39.8 2
 
< 0.1%
39.9 3
 
< 0.1%
40.0 2
 
< 0.1%
40.1 5
 
0.1%
ValueCountFrequency (%)
62.2 1
< 0.1%
61.6 1
< 0.1%
61.0 1
< 0.1%
60.4 1
< 0.1%
60.2 1
< 0.1%
60.1 1
< 0.1%
59.6 1
< 0.1%
59.5 1
< 0.1%
59.4 1
< 0.1%
59.2 1
< 0.1%

JE_4C_TIME
Real number (ℝ)

ZEROS 

Distinct536
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.62628
Minimum0
Maximum102
Zeros5460
Zeros (%)54.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T12:07:45.354548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q348.8
95-th percentile66.4
Maximum102
Range102
Interquartile range (IQR)48.8

Descriptive statistics

Standard deviation26.593595
Coefficient of variation (CV)1.175341
Kurtosis-0.97750187
Mean22.62628
Median Absolute Deviation (MAD)0
Skewness0.61536446
Sum226262.8
Variance707.21928
MonotonicityNot monotonic
2024-04-18T12:07:45.485549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 5460
54.6%
34.5 51
 
0.5%
33.8 50
 
0.5%
34.3 47
 
0.5%
33.6 46
 
0.5%
33.9 46
 
0.5%
34.7 46
 
0.5%
33.3 44
 
0.4%
41.6 42
 
0.4%
34.4 41
 
0.4%
Other values (526) 4127
41.3%
ValueCountFrequency (%)
0.0 5460
54.6%
30.8 1
 
< 0.1%
31.1 2
 
< 0.1%
31.3 1
 
< 0.1%
31.4 2
 
< 0.1%
31.6 3
 
< 0.1%
31.7 2
 
< 0.1%
31.8 4
 
< 0.1%
31.9 4
 
< 0.1%
32.0 4
 
< 0.1%
ValueCountFrequency (%)
102.0 1
< 0.1%
101.9 1
< 0.1%
101.7 1
< 0.1%
101.6 1
< 0.1%
101.5 1
< 0.1%
101.1 1
< 0.1%
101.0 1
< 0.1%
100.8 2
< 0.1%
100.5 2
< 0.1%
100.2 1
< 0.1%

JE_G1F_TIME
Real number (ℝ)

ZEROS 

Distinct106
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.04027
Minimum0
Maximum25.3
Zeros5460
Zeros (%)54.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T12:07:45.612853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q317.8
95-th percentile19.6
Maximum25.3
Range25.3
Interquartile range (IQR)17.8

Descriptive statistics

Standard deviation8.8951467
Coefficient of variation (CV)1.1063244
Kurtosis-1.8817946
Mean8.04027
Median Absolute Deviation (MAD)0
Skewness0.23535174
Sum80402.7
Variance79.123636
MonotonicityNot monotonic
2024-04-18T12:07:45.739487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 5460
54.6%
18.0 166
 
1.7%
18.2 157
 
1.6%
18.1 152
 
1.5%
18.3 148
 
1.5%
17.6 142
 
1.4%
17.9 141
 
1.4%
17.7 139
 
1.4%
17.5 135
 
1.4%
18.5 134
 
1.3%
Other values (96) 3226
32.3%
ValueCountFrequency (%)
0.0 5460
54.6%
12.6 1
 
< 0.1%
13.1 5
 
0.1%
13.2 2
 
< 0.1%
13.3 7
 
0.1%
13.4 3
 
< 0.1%
13.5 7
 
0.1%
13.6 15
 
0.1%
13.7 15
 
0.1%
13.8 24
 
0.2%
ValueCountFrequency (%)
25.3 1
 
< 0.1%
23.8 1
 
< 0.1%
23.6 1
 
< 0.1%
23.5 1
 
< 0.1%
23.4 1
 
< 0.1%
23.2 1
 
< 0.1%
23.0 2
< 0.1%
22.9 3
< 0.1%
22.8 1
 
< 0.1%
22.7 1
 
< 0.1%

BU_S1F_ORD
Real number (ℝ)

ZEROS 

Distinct18
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.3298
Minimum0
Maximum99
Zeros4755
Zeros (%)47.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T12:07:45.843229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q36
95-th percentile11
Maximum99
Range99
Interquartile range (IQR)6

Descriptive statistics

Standard deviation4.7102283
Coefficient of variation (CV)1.4145679
Kurtosis117.40982
Mean3.3298
Median Absolute Deviation (MAD)1
Skewness6.3623793
Sum33298
Variance22.186251
MonotonicityNot monotonic
2024-04-18T12:07:45.943072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 4755
47.5%
1 482
 
4.8%
4 482
 
4.8%
8 477
 
4.8%
6 474
 
4.7%
3 465
 
4.7%
9 459
 
4.6%
5 456
 
4.6%
2 447
 
4.5%
7 440
 
4.4%
Other values (8) 1063
 
10.6%
ValueCountFrequency (%)
0 4755
47.5%
1 482
 
4.8%
2 447
 
4.5%
3 465
 
4.7%
4 482
 
4.8%
5 456
 
4.6%
6 474
 
4.7%
7 440
 
4.4%
8 477
 
4.8%
9 459
 
4.6%
ValueCountFrequency (%)
99 7
 
0.1%
16 1
 
< 0.1%
15 2
 
< 0.1%
14 51
 
0.5%
13 59
 
0.6%
12 240
2.4%
11 318
3.2%
10 385
3.9%
9 459
4.6%
8 477
4.8%

BU_G8F_ORD
Real number (ℝ)

ZEROS 

Distinct15
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0375
Minimum0
Maximum16
Zeros9930
Zeros (%)99.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T12:07:46.055029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum16
Range16
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.54029894
Coefficient of variation (CV)14.407972
Kurtosis351.59161
Mean0.0375
Median Absolute Deviation (MAD)0
Skewness17.620741
Sum375
Variance0.29192294
MonotonicityNot monotonic
2024-04-18T12:07:46.162712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 9930
99.3%
1 11
 
0.1%
2 9
 
0.1%
4 9
 
0.1%
3 6
 
0.1%
7 6
 
0.1%
6 6
 
0.1%
8 5
 
0.1%
10 5
 
0.1%
9 4
 
< 0.1%
Other values (5) 9
 
0.1%
ValueCountFrequency (%)
0 9930
99.3%
1 11
 
0.1%
2 9
 
0.1%
3 6
 
0.1%
4 9
 
0.1%
5 4
 
< 0.1%
6 6
 
0.1%
7 6
 
0.1%
8 5
 
0.1%
9 4
 
< 0.1%
ValueCountFrequency (%)
16 1
 
< 0.1%
14 1
 
< 0.1%
13 2
 
< 0.1%
12 1
 
< 0.1%
10 5
0.1%
9 4
< 0.1%
8 5
0.1%
7 6
0.1%
6 6
0.1%
5 4
< 0.1%

BU_G6F_ORD
Real number (ℝ)

ZEROS 

Distinct17
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.2242
Minimum0
Maximum99
Zeros8061
Zeros (%)80.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T12:07:46.272590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile9
Maximum99
Range99
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.3131604
Coefficient of variation (CV)2.7063882
Kurtosis228.888
Mean1.2242
Median Absolute Deviation (MAD)0
Skewness9.2260285
Sum12242
Variance10.977032
MonotonicityNot monotonic
2024-04-18T12:07:46.372693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 8061
80.6%
7 190
 
1.9%
5 184
 
1.8%
1 183
 
1.8%
8 180
 
1.8%
9 175
 
1.8%
4 173
 
1.7%
3 170
 
1.7%
2 159
 
1.6%
6 154
 
1.5%
Other values (7) 371
 
3.7%
ValueCountFrequency (%)
0 8061
80.6%
1 183
 
1.8%
2 159
 
1.6%
3 170
 
1.7%
4 173
 
1.7%
5 184
 
1.8%
6 154
 
1.5%
7 190
 
1.9%
8 180
 
1.8%
9 175
 
1.8%
ValueCountFrequency (%)
99 3
 
< 0.1%
16 1
 
< 0.1%
14 13
 
0.1%
13 16
 
0.2%
12 81
0.8%
11 105
1.1%
10 152
1.5%
9 175
1.8%
8 180
1.8%
7 190
1.9%

BU_G4F_ORD
Real number (ℝ)

ZEROS 

Distinct18
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.0336
Minimum0
Maximum99
Zeros5233
Zeros (%)52.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T12:07:46.480364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q36
95-th percentile11
Maximum99
Range99
Interquartile range (IQR)6

Descriptive statistics

Standard deviation4.562801
Coefficient of variation (CV)1.5040879
Kurtosis115.89603
Mean3.0336
Median Absolute Deviation (MAD)0
Skewness6.1919827
Sum30336
Variance20.819153
MonotonicityNot monotonic
2024-04-18T12:07:46.580089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 5233
52.3%
8 466
 
4.7%
2 432
 
4.3%
4 428
 
4.3%
5 427
 
4.3%
1 426
 
4.3%
7 425
 
4.2%
9 402
 
4.0%
3 400
 
4.0%
6 388
 
3.9%
Other values (8) 973
 
9.7%
ValueCountFrequency (%)
0 5233
52.3%
1 426
 
4.3%
2 432
 
4.3%
3 400
 
4.0%
4 428
 
4.3%
5 427
 
4.3%
6 388
 
3.9%
7 425
 
4.2%
8 466
 
4.7%
9 402
 
4.0%
ValueCountFrequency (%)
99 6
 
0.1%
16 1
 
< 0.1%
15 2
 
< 0.1%
14 51
 
0.5%
13 54
 
0.5%
12 212
2.1%
11 280
2.8%
10 367
3.7%
9 402
4.0%
8 466
4.7%

BU_G3F_ORD
Real number (ℝ)

ZEROS 

Distinct18
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.3442
Minimum0
Maximum99
Zeros4755
Zeros (%)47.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T12:07:46.701198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q36
95-th percentile11
Maximum99
Range99
Interquartile range (IQR)6

Descriptive statistics

Standard deviation4.8081845
Coefficient of variation (CV)1.4377682
Kurtosis123.49779
Mean3.3442
Median Absolute Deviation (MAD)1
Skewness6.7610713
Sum33442
Variance23.118638
MonotonicityNot monotonic
2024-04-18T12:07:46.801719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 4755
47.5%
8 493
 
4.9%
4 486
 
4.9%
1 482
 
4.8%
6 464
 
4.6%
7 464
 
4.6%
3 455
 
4.5%
5 451
 
4.5%
2 445
 
4.5%
9 432
 
4.3%
Other values (8) 1073
 
10.7%
ValueCountFrequency (%)
0 4755
47.5%
1 482
 
4.8%
2 445
 
4.5%
3 455
 
4.5%
4 486
 
4.9%
5 451
 
4.5%
6 464
 
4.6%
7 464
 
4.6%
8 493
 
4.9%
9 432
 
4.3%
ValueCountFrequency (%)
99 8
 
0.1%
16 1
 
< 0.1%
15 3
 
< 0.1%
14 50
 
0.5%
13 53
 
0.5%
12 246
2.5%
11 328
3.3%
10 384
3.8%
9 432
4.3%
8 493
4.9%

BU_G2F_ORD
Real number (ℝ)

ZEROS 

Distinct18
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.3434
Minimum0
Maximum99
Zeros4755
Zeros (%)47.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T12:07:46.902689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q36
95-th percentile11
Maximum99
Range99
Interquartile range (IQR)6

Descriptive statistics

Standard deviation4.810737
Coefficient of variation (CV)1.4388757
Kurtosis123.24417
Mean3.3434
Median Absolute Deviation (MAD)1
Skewness6.7551799
Sum33434
Variance23.143191
MonotonicityNot monotonic
2024-04-18T12:07:47.003971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 4755
47.5%
3 481
 
4.8%
8 476
 
4.8%
5 468
 
4.7%
6 467
 
4.7%
1 466
 
4.7%
2 463
 
4.6%
7 457
 
4.6%
4 453
 
4.5%
9 433
 
4.3%
Other values (8) 1081
 
10.8%
ValueCountFrequency (%)
0 4755
47.5%
1 466
 
4.7%
2 463
 
4.6%
3 481
 
4.8%
4 453
 
4.5%
5 468
 
4.7%
6 467
 
4.7%
7 457
 
4.6%
8 476
 
4.8%
9 433
 
4.3%
ValueCountFrequency (%)
99 8
 
0.1%
16 1
 
< 0.1%
15 1
 
< 0.1%
14 57
 
0.6%
13 56
 
0.6%
12 239
2.4%
11 334
3.3%
10 385
3.9%
9 433
4.3%
8 476
4.8%

BU_G1F_ORD
Real number (ℝ)

ZEROS 

Distinct17
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.3826
Minimum0
Maximum99
Zeros4755
Zeros (%)47.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T12:07:47.107629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q36
95-th percentile11
Maximum99
Range99
Interquartile range (IQR)6

Descriptive statistics

Standard deviation5.1719911
Coefficient of variation (CV)1.5289987
Kurtosis138.08738
Mean3.3826
Median Absolute Deviation (MAD)1
Skewness7.9415568
Sum33826
Variance26.749492
MonotonicityNot monotonic
2024-04-18T12:07:47.215175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 4755
47.5%
6 483
 
4.8%
4 483
 
4.8%
7 477
 
4.8%
2 474
 
4.7%
3 464
 
4.6%
8 450
 
4.5%
5 449
 
4.5%
1 447
 
4.5%
9 420
 
4.2%
Other values (7) 1098
 
11.0%
ValueCountFrequency (%)
0 4755
47.5%
1 447
 
4.5%
2 474
 
4.7%
3 464
 
4.6%
4 483
 
4.8%
5 449
 
4.5%
6 483
 
4.8%
7 477
 
4.8%
8 450
 
4.5%
9 420
 
4.2%
ValueCountFrequency (%)
99 12
 
0.1%
16 2
 
< 0.1%
14 50
 
0.5%
13 59
 
0.6%
12 236
2.4%
11 336
3.4%
10 403
4.0%
9 420
4.2%
8 450
4.5%
7 477
4.8%

BU_S1F_TIME
Real number (ℝ)

ZEROS 

Distinct41
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.41964
Minimum0
Maximum19.5
Zeros4762
Zeros (%)47.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T12:07:47.334636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median13.5
Q314.2
95-th percentile14.705
Maximum19.5
Range19.5
Interquartile range (IQR)14.2

Descriptive statistics

Standard deviation7.0827886
Coefficient of variation (CV)0.95460004
Kurtosis-1.9830699
Mean7.41964
Median Absolute Deviation (MAD)1.5
Skewness-0.088464877
Sum74196.4
Variance50.165895
MonotonicityNot monotonic
2024-04-18T12:07:47.465469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
0.0 4762
47.6%
14.0 506
 
5.1%
14.1 493
 
4.9%
14.2 479
 
4.8%
14.3 423
 
4.2%
13.9 415
 
4.2%
13.8 369
 
3.7%
14.4 354
 
3.5%
14.5 307
 
3.1%
13.7 290
 
2.9%
Other values (31) 1602
 
16.0%
ValueCountFrequency (%)
0.0 4762
47.6%
12.8 5
 
0.1%
12.9 2
 
< 0.1%
13.0 10
 
0.1%
13.1 15
 
0.1%
13.2 29
 
0.3%
13.3 57
 
0.6%
13.4 102
 
1.0%
13.5 175
 
1.8%
13.6 232
 
2.3%
ValueCountFrequency (%)
19.5 1
 
< 0.1%
17.5 1
 
< 0.1%
16.8 1
 
< 0.1%
16.6 1
 
< 0.1%
16.5 2
< 0.1%
16.4 2
< 0.1%
16.3 1
 
< 0.1%
16.0 2
< 0.1%
15.9 3
< 0.1%
15.8 4
< 0.1%

BU_10-8F_TIME
Real number (ℝ)

ZEROS 

Distinct33
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.17024
Minimum0
Maximum27.7
Zeros9933
Zeros (%)99.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T12:07:47.576920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum27.7
Range27.7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.078231
Coefficient of variation (CV)12.207654
Kurtosis146.94695
Mean0.17024
Median Absolute Deviation (MAD)0
Skewness12.180209
Sum1702.4
Variance4.3190442
MonotonicityNot monotonic
2024-04-18T12:07:47.672891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
0.0 9933
99.3%
26.0 5
 
0.1%
26.4 4
 
< 0.1%
25.7 4
 
< 0.1%
25.8 4
 
< 0.1%
27.1 4
 
< 0.1%
25.5 4
 
< 0.1%
26.1 3
 
< 0.1%
26.6 3
 
< 0.1%
25.6 3
 
< 0.1%
Other values (23) 33
 
0.3%
ValueCountFrequency (%)
0.0 9933
99.3%
19.9 2
 
< 0.1%
20.2 1
 
< 0.1%
20.3 1
 
< 0.1%
20.4 1
 
< 0.1%
20.9 1
 
< 0.1%
23.7 1
 
< 0.1%
23.8 2
 
< 0.1%
24.1 1
 
< 0.1%
24.3 1
 
< 0.1%
ValueCountFrequency (%)
27.7 1
 
< 0.1%
27.3 1
 
< 0.1%
27.1 4
< 0.1%
26.9 2
< 0.1%
26.8 2
< 0.1%
26.7 2
< 0.1%
26.6 3
< 0.1%
26.5 1
 
< 0.1%
26.4 4
< 0.1%
26.2 3
< 0.1%

BU_8-6F_TIME
Real number (ℝ)

ZEROS 

Distinct71
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.2476
Minimum0
Maximum27.9
Zeros7782
Zeros (%)77.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T12:07:47.779844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile25.7
Maximum27.9
Range27.9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation8.8263686
Coefficient of variation (CV)2.0779661
Kurtosis1.6584924
Mean4.2476
Median Absolute Deviation (MAD)0
Skewness1.8417745
Sum42476
Variance77.904783
MonotonicityNot monotonic
2024-04-18T12:07:47.917983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 7782
77.8%
8.5 134
 
1.3%
8.6 118
 
1.2%
8.7 108
 
1.1%
8.4 105
 
1.1%
8.8 88
 
0.9%
8.3 81
 
0.8%
25.5 69
 
0.7%
25.7 64
 
0.6%
25.9 62
 
0.6%
Other values (61) 1389
 
13.9%
ValueCountFrequency (%)
0.0 7782
77.8%
8.0 5
 
0.1%
8.1 13
 
0.1%
8.2 35
 
0.4%
8.3 81
 
0.8%
8.4 105
 
1.1%
8.5 134
 
1.3%
8.6 118
 
1.2%
8.7 108
 
1.1%
8.8 88
 
0.9%
ValueCountFrequency (%)
27.9 2
 
< 0.1%
27.8 4
 
< 0.1%
27.6 1
 
< 0.1%
27.5 2
 
< 0.1%
27.4 6
 
0.1%
27.3 2
 
< 0.1%
27.2 7
 
0.1%
27.1 16
0.2%
27.0 9
0.1%
26.9 18
0.2%

BU_6-4F_TIME
Real number (ℝ)

ZEROS 

Distinct72
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.43383
Minimum0
Maximum31.9
Zeros5239
Zeros (%)52.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T12:07:48.037471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q324
95-th percentile25.7
Maximum31.9
Range31.9
Interquartile range (IQR)24

Descriptive statistics

Standard deviation12.029803
Coefficient of variation (CV)1.0521237
Kurtosis-1.9640321
Mean11.43383
Median Absolute Deviation (MAD)0
Skewness0.11329913
Sum114338.3
Variance144.71617
MonotonicityNot monotonic
2024-04-18T12:07:48.151030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 5239
52.4%
24.8 145
 
1.5%
24.5 140
 
1.4%
25.0 135
 
1.4%
22.7 135
 
1.4%
25.1 135
 
1.4%
24.7 135
 
1.4%
24.9 133
 
1.3%
22.8 132
 
1.3%
22.9 131
 
1.3%
Other values (62) 3540
35.4%
ValueCountFrequency (%)
0.0 5239
52.4%
21.1 2
 
< 0.1%
21.2 1
 
< 0.1%
21.3 5
 
0.1%
21.4 7
 
0.1%
21.5 15
 
0.1%
21.6 14
 
0.1%
21.7 29
 
0.3%
21.8 51
 
0.5%
21.9 51
 
0.5%
ValueCountFrequency (%)
31.9 1
 
< 0.1%
31.4 1
 
< 0.1%
31.2 1
 
< 0.1%
29.2 1
 
< 0.1%
28.2 1
 
< 0.1%
28.0 1
 
< 0.1%
27.5 2
< 0.1%
27.4 2
< 0.1%
27.3 4
< 0.1%
27.2 4
< 0.1%

BU_4-2F_TIME
Real number (ℝ)

ZEROS 

Distinct81
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.0076
Minimum0
Maximum33.8
Zeros4763
Zeros (%)47.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T12:07:48.268216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median22.9
Q324.8
95-th percentile26.5
Maximum33.8
Range33.8
Interquartile range (IQR)24.8

Descriptive statistics

Standard deviation12.436734
Coefficient of variation (CV)0.95611289
Kurtosis-1.9733559
Mean13.0076
Median Absolute Deviation (MAD)4.1
Skewness-0.079738041
Sum130076
Variance154.67235
MonotonicityNot monotonic
2024-04-18T12:07:48.387025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 4763
47.6%
24.9 218
 
2.2%
24.7 203
 
2.0%
24.6 194
 
1.9%
25.1 176
 
1.8%
25.0 173
 
1.7%
24.4 171
 
1.7%
24.3 170
 
1.7%
24.8 170
 
1.7%
24.5 169
 
1.7%
Other values (71) 3593
35.9%
ValueCountFrequency (%)
0.0 4763
47.6%
21.2 1
 
< 0.1%
21.5 1
 
< 0.1%
21.6 3
 
< 0.1%
21.7 2
 
< 0.1%
21.8 2
 
< 0.1%
21.9 1
 
< 0.1%
22.0 4
 
< 0.1%
22.1 6
 
0.1%
22.2 7
 
0.1%
ValueCountFrequency (%)
33.8 1
 
< 0.1%
31.8 1
 
< 0.1%
29.3 2
 
< 0.1%
29.2 3
< 0.1%
29.0 1
 
< 0.1%
28.9 2
 
< 0.1%
28.7 4
< 0.1%
28.6 1
 
< 0.1%
28.5 5
0.1%
28.4 3
< 0.1%

BU_2F-G_TIME
Real number (ℝ)

ZEROS 

Distinct103
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.16388
Minimum0
Maximum41.7
Zeros4767
Zeros (%)47.7%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T12:07:48.508158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median25
Q327
95-th percentile29
Maximum41.7
Range41.7
Interquartile range (IQR)27

Descriptive statistics

Standard deviation13.562215
Coefficient of variation (CV)0.95752119
Kurtosis-1.9671085
Mean14.16388
Median Absolute Deviation (MAD)4.8
Skewness-0.073730916
Sum141638.8
Variance183.93368
MonotonicityNot monotonic
2024-04-18T12:07:48.621685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 4767
47.7%
26.2 164
 
1.6%
26.8 163
 
1.6%
26.4 161
 
1.6%
27.2 159
 
1.6%
26.7 159
 
1.6%
26.3 154
 
1.5%
26.0 153
 
1.5%
27.0 153
 
1.5%
27.1 149
 
1.5%
Other values (93) 3818
38.2%
ValueCountFrequency (%)
0.0 4767
47.7%
14.9 1
 
< 0.1%
23.2 2
 
< 0.1%
23.3 1
 
< 0.1%
23.7 2
 
< 0.1%
23.8 2
 
< 0.1%
23.9 9
 
0.1%
24.0 2
 
< 0.1%
24.1 7
 
0.1%
24.2 2
 
< 0.1%
ValueCountFrequency (%)
41.7 1
< 0.1%
38.2 1
< 0.1%
37.1 1
< 0.1%
35.0 1
< 0.1%
33.5 1
< 0.1%
33.4 1
< 0.1%
33.3 1
< 0.1%
33.2 1
< 0.1%
33.1 1
< 0.1%
33.0 1
< 0.1%

BU_3F-G_TIME
Real number (ℝ)

ZEROS 

Distinct121
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.6319
Minimum0
Maximum54.5
Zeros4767
Zeros (%)47.7%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T12:07:48.734514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median36.8
Q339.3
95-th percentile41.8
Maximum54.5
Range54.5
Interquartile range (IQR)39.3

Descriptive statistics

Standard deviation19.734513
Coefficient of variation (CV)0.95650489
Kurtosis-1.975733
Mean20.6319
Median Absolute Deviation (MAD)5.9
Skewness-0.080327916
Sum206319
Variance389.45101
MonotonicityNot monotonic
2024-04-18T12:07:48.864508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 4767
47.7%
38.6 152
 
1.5%
39.1 149
 
1.5%
38.8 142
 
1.4%
38.7 136
 
1.4%
39.0 133
 
1.3%
38.5 133
 
1.3%
39.2 126
 
1.3%
38.3 123
 
1.2%
38.4 122
 
1.2%
Other values (111) 4017
40.2%
ValueCountFrequency (%)
0.0 4767
47.7%
34.6 2
 
< 0.1%
34.9 1
 
< 0.1%
35.3 2
 
< 0.1%
35.4 5
 
0.1%
35.5 5
 
0.1%
35.6 1
 
< 0.1%
35.7 4
 
< 0.1%
35.8 7
 
0.1%
35.9 8
 
0.1%
ValueCountFrequency (%)
54.5 1
< 0.1%
51.5 2
< 0.1%
48.7 1
< 0.1%
47.4 2
< 0.1%
47.3 1
< 0.1%
47.1 1
< 0.1%
47.0 1
< 0.1%
46.7 1
< 0.1%
46.6 1
< 0.1%
46.4 2
< 0.1%

BU_1F-G_TIME
Real number (ℝ)

ZEROS 

Distinct64
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.29659
Minimum0
Maximum24.5
Zeros4767
Zeros (%)47.7%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T12:07:48.977445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median12.8
Q313.9
95-th percentile15
Maximum24.5
Range24.5
Interquartile range (IQR)13.9

Descriptive statistics

Standard deviation6.9883887
Coefficient of variation (CV)0.95776092
Kurtosis-1.9632848
Mean7.29659
Median Absolute Deviation (MAD)2.6
Skewness-0.071801341
Sum72965.9
Variance48.837577
MonotonicityNot monotonic
2024-04-18T12:07:49.104481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 4767
47.7%
13.7 305
 
3.0%
13.8 298
 
3.0%
13.5 290
 
2.9%
13.4 282
 
2.8%
14.1 275
 
2.8%
13.6 274
 
2.7%
13.9 266
 
2.7%
13.3 252
 
2.5%
14.2 248
 
2.5%
Other values (54) 2743
27.4%
ValueCountFrequency (%)
0.0 4767
47.7%
11.8 1
 
< 0.1%
11.9 2
 
< 0.1%
12.0 2
 
< 0.1%
12.1 2
 
< 0.1%
12.2 4
 
< 0.1%
12.3 12
 
0.1%
12.4 19
 
0.2%
12.5 22
 
0.2%
12.6 36
 
0.4%
ValueCountFrequency (%)
24.5 1
 
< 0.1%
20.4 1
 
< 0.1%
19.3 1
 
< 0.1%
18.7 1
 
< 0.1%
18.3 1
 
< 0.1%
17.8 1
 
< 0.1%
17.5 3
< 0.1%
17.4 3
< 0.1%
17.2 1
 
< 0.1%
17.1 1
 
< 0.1%

BU_S1F_ACC_TIME
Real number (ℝ)

ZEROS 

Distinct41
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.41964
Minimum0
Maximum19.5
Zeros4762
Zeros (%)47.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T12:07:49.226659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median13.5
Q314.2
95-th percentile14.705
Maximum19.5
Range19.5
Interquartile range (IQR)14.2

Descriptive statistics

Standard deviation7.0827886
Coefficient of variation (CV)0.95460004
Kurtosis-1.9830699
Mean7.41964
Median Absolute Deviation (MAD)1.5
Skewness-0.088464877
Sum74196.4
Variance50.165895
MonotonicityNot monotonic
2024-04-18T12:07:49.353696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
0.0 4762
47.6%
14.0 506
 
5.1%
14.1 493
 
4.9%
14.2 479
 
4.8%
14.3 423
 
4.2%
13.9 415
 
4.2%
13.8 369
 
3.7%
14.4 354
 
3.5%
14.5 307
 
3.1%
13.7 290
 
2.9%
Other values (31) 1602
 
16.0%
ValueCountFrequency (%)
0.0 4762
47.6%
12.8 5
 
0.1%
12.9 2
 
< 0.1%
13.0 10
 
0.1%
13.1 15
 
0.1%
13.2 29
 
0.3%
13.3 57
 
0.6%
13.4 102
 
1.0%
13.5 175
 
1.8%
13.6 232
 
2.3%
ValueCountFrequency (%)
19.5 1
 
< 0.1%
17.5 1
 
< 0.1%
16.8 1
 
< 0.1%
16.6 1
 
< 0.1%
16.5 2
< 0.1%
16.4 2
< 0.1%
16.3 1
 
< 0.1%
16.0 2
< 0.1%
15.9 3
< 0.1%
15.8 4
< 0.1%

BU_G8F_ACC_TIME
Real number (ℝ)

ZEROS 

Distinct37
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.18276
Minimum0
Maximum39.7
Zeros9930
Zeros (%)99.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T12:07:49.474663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum39.7
Range39.7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.228761
Coefficient of variation (CV)12.195015
Kurtosis163.3092
Mean0.18276
Median Absolute Deviation (MAD)0
Skewness12.600128
Sum1827.6
Variance4.9673755
MonotonicityNot monotonic
2024-04-18T12:07:49.592698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
0.0 9930
99.3%
26.0 5
 
0.1%
25.7 4
 
< 0.1%
27.1 4
 
< 0.1%
25.5 4
 
< 0.1%
25.8 4
 
< 0.1%
26.4 4
 
< 0.1%
26.2 3
 
< 0.1%
26.6 3
 
< 0.1%
26.1 3
 
< 0.1%
Other values (27) 36
 
0.4%
ValueCountFrequency (%)
0.0 9930
99.3%
8.4 1
 
< 0.1%
8.6 2
 
< 0.1%
19.9 2
 
< 0.1%
20.2 1
 
< 0.1%
20.3 1
 
< 0.1%
20.4 1
 
< 0.1%
20.9 1
 
< 0.1%
24.3 1
 
< 0.1%
24.6 1
 
< 0.1%
ValueCountFrequency (%)
39.7 2
< 0.1%
39.3 1
 
< 0.1%
38.9 1
 
< 0.1%
38.6 1
 
< 0.1%
37.8 1
 
< 0.1%
37.5 1
 
< 0.1%
27.7 1
 
< 0.1%
27.3 1
 
< 0.1%
27.1 4
< 0.1%
26.9 2
< 0.1%

BU_G6F_ACC_TIME
Real number (ℝ)

ZEROS 

Distinct149
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.18553
Minimum0
Maximum66.2
Zeros7782
Zeros (%)77.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T12:07:49.710147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile37.7
Maximum66.2
Range66.2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation11.442061
Coefficient of variation (CV)2.2065365
Kurtosis3.840518
Mean5.18553
Median Absolute Deviation (MAD)0
Skewness2.2194702
Sum51855.3
Variance130.92076
MonotonicityNot monotonic
2024-04-18T12:07:49.824333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 7782
77.8%
8.5 134
 
1.3%
8.6 118
 
1.2%
8.7 108
 
1.1%
8.4 105
 
1.1%
8.8 88
 
0.9%
8.3 81
 
0.8%
25.5 56
 
0.6%
25.7 56
 
0.6%
8.9 56
 
0.6%
Other values (139) 1416
 
14.2%
ValueCountFrequency (%)
0.0 7782
77.8%
8.0 5
 
0.1%
8.1 13
 
0.1%
8.2 35
 
0.4%
8.3 81
 
0.8%
8.4 105
 
1.1%
8.5 134
 
1.3%
8.6 118
 
1.2%
8.7 108
 
1.1%
8.8 88
 
0.9%
ValueCountFrequency (%)
66.2 2
< 0.1%
64.8 1
< 0.1%
64.0 1
< 0.1%
63.6 1
< 0.1%
63.3 1
< 0.1%
63.0 1
< 0.1%
53.6 1
< 0.1%
53.4 1
< 0.1%
53.2 2
< 0.1%
53.1 2
< 0.1%

BU_G4F_ACC_TIME
Real number (ℝ)

ZEROS 

Distinct306
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.12619
Minimum0
Maximum91.2
Zeros5239
Zeros (%)52.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T12:07:50.768417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q332.3
95-th percentile62.3
Maximum91.2
Range91.2
Interquartile range (IQR)32.3

Descriptive statistics

Standard deviation21.139472
Coefficient of variation (CV)1.1662391
Kurtosis-0.64001177
Mean18.12619
Median Absolute Deviation (MAD)0
Skewness0.72827925
Sum181261.9
Variance446.87727
MonotonicityNot monotonic
2024-04-18T12:07:50.874732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 5239
52.4%
25.1 85
 
0.9%
25.2 79
 
0.8%
25.3 79
 
0.8%
25.5 77
 
0.8%
25.4 76
 
0.8%
25.6 76
 
0.8%
24.6 76
 
0.8%
25.0 74
 
0.7%
24.9 74
 
0.7%
Other values (296) 4065
40.6%
ValueCountFrequency (%)
0.0 5239
52.4%
23.5 1
 
< 0.1%
23.6 3
 
< 0.1%
23.8 6
 
0.1%
23.9 4
 
< 0.1%
24.0 20
 
0.2%
24.1 15
 
0.1%
24.2 30
 
0.3%
24.3 33
 
0.3%
24.4 52
 
0.5%
ValueCountFrequency (%)
91.2 2
< 0.1%
90.3 1
< 0.1%
89.5 1
< 0.1%
88.8 1
< 0.1%
88.6 1
< 0.1%
88.3 1
< 0.1%
79.5 1
< 0.1%
79.2 2
< 0.1%
79.0 1
< 0.1%
78.9 2
< 0.1%

BU_G3F_ACC_TIME
Real number (ℝ)

ZEROS 

Distinct389
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.32239
Minimum0
Maximum103.9
Zeros4763
Zeros (%)47.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T12:07:50.987511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median25.3
Q345.1
95-th percentile75.6
Maximum103.9
Range103.9
Interquartile range (IQR)45.1

Descriptive statistics

Standard deviation26.488125
Coefficient of variation (CV)1.0460357
Kurtosis-1.1450301
Mean25.32239
Median Absolute Deviation (MAD)25.3
Skewness0.43520337
Sum253223.9
Variance701.62077
MonotonicityNot monotonic
2024-04-18T12:07:51.115215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 4763
47.6%
37.2 65
 
0.7%
37.5 65
 
0.7%
36.8 61
 
0.6%
37.0 61
 
0.6%
37.7 61
 
0.6%
37.6 58
 
0.6%
37.1 57
 
0.6%
37.8 55
 
0.5%
38.1 53
 
0.5%
Other values (379) 4701
47.0%
ValueCountFrequency (%)
0.0 4763
47.6%
23.8 2
 
< 0.1%
24.1 4
 
< 0.1%
24.2 7
 
0.1%
24.3 5
 
0.1%
24.4 7
 
0.1%
24.5 21
 
0.2%
24.6 23
 
0.2%
24.7 14
 
0.1%
24.8 24
 
0.2%
ValueCountFrequency (%)
103.9 2
< 0.1%
103.3 1
< 0.1%
102.2 1
< 0.1%
102.1 1
< 0.1%
101.0 1
< 0.1%
100.8 1
< 0.1%
92.4 1
< 0.1%
92.1 2
< 0.1%
92.0 1
< 0.1%
91.8 2
< 0.1%

BU_G2F_ACC_TIME
Real number (ℝ)

ZEROS 

Distinct436
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31.79566
Minimum0
Maximum116.2
Zeros4763
Zeros (%)47.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T12:07:51.235532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median37
Q357.9
95-th percentile88.8
Maximum116.2
Range116.2
Interquartile range (IQR)57.9

Descriptive statistics

Standard deviation32.329965
Coefficient of variation (CV)1.0168043
Kurtosis-1.4185403
Mean31.79566
Median Absolute Deviation (MAD)37
Skewness0.28440427
Sum317956.6
Variance1045.2266
MonotonicityNot monotonic
2024-04-18T12:07:51.364313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 4763
47.6%
49.1 63
 
0.6%
49.2 56
 
0.6%
48.9 52
 
0.5%
48.6 52
 
0.5%
49.9 50
 
0.5%
49.0 47
 
0.5%
49.7 47
 
0.5%
49.5 47
 
0.5%
49.8 46
 
0.5%
Other values (426) 4777
47.8%
ValueCountFrequency (%)
0.0 4763
47.6%
34.5 1
 
< 0.1%
34.9 1
 
< 0.1%
35.0 2
 
< 0.1%
35.1 1
 
< 0.1%
35.3 2
 
< 0.1%
35.5 5
 
0.1%
35.6 4
 
< 0.1%
35.7 8
 
0.1%
35.8 3
 
< 0.1%
ValueCountFrequency (%)
116.2 2
< 0.1%
116.1 1
< 0.1%
115.7 1
< 0.1%
114.9 1
< 0.1%
113.8 1
< 0.1%
113.7 1
< 0.1%
105.9 1
< 0.1%
105.8 1
< 0.1%
105.6 1
< 0.1%
105.3 1
< 0.1%

BU_G1F_ACC_TIME
Real number (ℝ)

ZEROS 

Distinct479
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38.64171
Minimum0
Maximum130.4
Zeros4767
Zeros (%)47.7%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T12:07:51.484890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median49.5
Q371.2
95-th percentile101.9
Maximum130.4
Range130.4
Interquartile range (IQR)71.2

Descriptive statistics

Standard deviation38.600451
Coefficient of variation (CV)0.99893227
Kurtosis-1.5981095
Mean38.64171
Median Absolute Deviation (MAD)49.5
Skewness0.18015942
Sum386417.1
Variance1489.9948
MonotonicityNot monotonic
2024-04-18T12:07:51.606251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 4767
47.7%
61.9 52
 
0.5%
62.2 48
 
0.5%
63.0 48
 
0.5%
62.4 44
 
0.4%
61.5 43
 
0.4%
62.5 43
 
0.4%
61.4 42
 
0.4%
61.7 42
 
0.4%
62.9 42
 
0.4%
Other values (469) 4829
48.3%
ValueCountFrequency (%)
0.0 4767
47.7%
46.9 1
 
< 0.1%
47.3 1
 
< 0.1%
47.4 3
 
< 0.1%
47.5 1
 
< 0.1%
47.6 6
 
0.1%
47.7 4
 
< 0.1%
47.8 3
 
< 0.1%
47.9 5
 
0.1%
48.0 11
 
0.1%
ValueCountFrequency (%)
130.4 1
< 0.1%
129.8 1
< 0.1%
128.5 1
< 0.1%
127.8 1
< 0.1%
127.6 1
< 0.1%
127.5 1
< 0.1%
126.5 1
< 0.1%
121.5 1
< 0.1%
119.8 1
< 0.1%
119.3 2
< 0.1%

Sample

MEETRC_DATERC_NORC_DISTRANKWEATHERTRACKORDCHUL_NOHR_NAMEHR_NONAMEPRD_NAMEAGESEXRC_TIMEORD1_CNT_TORD2_CNT_TRC_CNT_TORD1_CNT_YORD2_CNT_YRC_CNT_YWG_HRWG_BUDAMJK_NAMEJK_NOJK_AGEJK_CAREERJK_ORD1_CNT_TJK_ORD2_CNT_TJK_RC_CNT_TJK_ORD1_CNT_YJK_ORD2_CNT_YJK_RC_CNT_YTR_NAMETR_NOTR_AGETR_CAREERTR_ORD1_CNT_TTR_ORD2_CNT_TTR_RC_CNT_TTR_ORD1_CNT_YTR_ORD2_CNT_YTR_RC_CNT_YHR_ORD1_CNT_THR_ORD2_CNT_THR_RC_CNT_TSJ_S1F_ORDSJ_1C_ORDSJ_2C_ORDSJ_3C_ORDSJ_G3F_ORDSJ_4C_ORDSJ_G1F_ORDSE_S1F_ACC_TIMESE_1C_ACC_TIMESE_2C_ACC_TIMESE_3C_ACC_TIMESE_G3F_ACC_TIMESE_4C_ACC_TIMESE_G1F_ACC_TIMEJE_S1F_TIMEJE_1C_TIMEJE_2C_TIMEJE_3C_TIMEJE_G3F_TIMEJE_4C_TIMEJE_G1F_TIMEBU_S1F_ORDBU_G8F_ORDBU_G6F_ORDBU_G4F_ORDBU_G3F_ORDBU_G2F_ORDBU_G1F_ORDBU_S1F_TIMEBU_10-8F_TIMEBU_8-6F_TIMEBU_6-4F_TIMEBU_4-2F_TIMEBU_2F-G_TIMEBU_3F-G_TIMEBU_1F-G_TIMEBU_S1F_ACC_TIMEBU_G8F_ACC_TIMEBU_G6F_ACC_TIMEBU_G4F_ACC_TIMEBU_G3F_ACC_TIMEBU_G2F_ACC_TIMEBU_G1F_ACC_TIME
39910부산경남2022030451600국6등급맑음건조 (2%)115배다리강호0041428한국국산5108.70116001542(+9)56.5전진구08058027649721013311188조용배070137<NA>1923231953047112762242594000000000000000.00.00.00.00.00.00.080778101014.50.026.125.027.230.444.315.814.50.026.151.164.478.392.9
14311제주2021061171000제5등급흐림불량 (20%)27아라강자3017982한국국산685.12435017275(-4)56.5문성호003029513111411206102972218233좌윤철002009<NA>321078127713727332736073677218007067000000018.10.00.034.550.650.617.300000000.00.00.00.00.00.00.00.00.00.00.00.00.00.00.0
510제주2023061051000제3등급맑음건조 (4%)51봉성대로3018680한국국산582.465340212261(-3)52.5이성민00309229612614215732836389고영덕002026<NA>231330124510543544440895756848008088000000017.60.00.033.648.849.216.800000000.00.00.00.00.00.00.00.00.00.00.00.00.00.00.0
5993제주2022090361110제3등급맑음다습 (13%)27원동히트3016744한국국산892.710131072424290(+4)55.0문성호003029513111411206102972218233김성오002024<NA>268049309818182732650677234004044000000018.20.00.042.650.159.516.600000000.00.00.00.00.00.00.00.00.00.00.00.00.00.00.0
57595부산경남2019081831600국5등급맑음건조 (3%)64우라노스제이0038618한국국산3104.31326000494(+3)56.0최시대080423421678869159036253443권승주070086<NA>11450477450853704866364527000000000000000.00.00.00.00.00.00.012011755514.90.026.824.625.827.139.913.914.90.026.851.464.477.290.4
5030제주202210224900제5등급맑음건조 (4%)109청부사3019042한국국산380.61115018276()51.0양민재00309628312141481113140김영래002019<NA>271547123510161483232111465556600701010000000017.80.00.026.654.044.119.100000000.00.00.00.00.00.00.00.00.00.00.00.00.00.00.0
27538제주2019040631000제4등급맑음건조 (4%)110지상낙원3014848한국국산785.65379000266(-4)57.0김경훈00304747206536935760000이준호002029<NA>176667026512544843282988931200110109000000018.20.00.035.050.651.716.800000000.00.00.00.00.00.00.00.00.00.00.00.00.00.00.0
42847부산경남2021101521200국6등급맑음건조 (3%)911에지0042937한국국산377.0004002451(-18)54.0박태종080103573622122052153723540367양귀선070125<NA>19370409533841423999979746000000000000000.00.00.00.00.00.00.0900998914.20.00.025.724.526.838.914.014.20.00.025.738.150.263.0
48829부산경남2020121211200국6등급맑음건조 (3%)77원더풀벤처0042287한국국산278.2002000444(-2)53.0채상현08053229914017019802029364울즐리070156<NA>156604993966332528711197733000000000000000.00.00.00.00.00.00.07007891014.00.00.025.524.927.840.013.514.00.00.025.538.250.464.7
29399제주201901188800제6등급맑음양호 (7%)104흥부세상3017818한국국산373.50316000284(+8)54.5정명일003044482770466866701820274고성동002008<NA>321161123212436193140014518917885005043000000018.20.00.018.255.334.621.400000000.00.00.00.00.00.00.00.00.00.00.00.00.00.00.0
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52463부산경남20200626131800혼4등급맑음다습 (12%)1012무패찰리0041789미국외산4118.60015000520(-5)55.0다실바08056844634733624946854404구영준070176<NA>8126162208018232123544575000000000000000.00.00.00.00.00.00.010012109101014.20.024.724.527.627.641.714.114.20.038.963.476.991.0104.5
14551제주202105285900제6등급안개양호 (6%)87미듬보배3017870한국국산581.10010000285(+2)54.0김홍권00308230926423022055442355이준호002029<NA>17666702651254484327510080180010099000000018.10.00.027.154.044.319.100000000.00.00.00.00.00.00.00.00.00.00.00.00.00.00.0
45812부산경남2021052221300국6등급맑음양호 (8%)95청마영웅0042391한국국산383.912320115481(+5)56.0이효식080564277257193187911881조용배070137<NA>1923231953047112763060682000000000000000.00.00.00.00.00.00.09013888714.60.09.122.524.228.139.714.014.60.09.131.644.255.869.9
5362제주2022100851110제3등급불량 (20%)16승일교3016543한국국산892.187861012285(-7)51.0박재희00309527320282411925208심도연002031<NA>1570367258204043383105897831000100104000000019.00.00.043.149.059.516.400000000.00.00.00.00.00.00.00.00.00.00.00.00.00.00.0
22186제주201912068800제6등급맑음다습 (10%)46설천봉3017529한국국산370.70110000314(+13)57.0장우성003055452493577165731718183변용호002013<NA>29121113131253815243438910110526006076000000018.40.00.018.452.334.918.700000000.00.00.00.00.00.00.00.00.00.00.00.00.00.00.0
22421제주201911238800제6등급맑음양호 (6%)16마블3017431한국국산369.05222000274(-6)58.0강수한003077321241837330865258419심도연002031<NA>157036725820404338311411110065005063000000018.40.00.018.450.635.217.500000000.00.00.00.00.00.00.00.00.00.00.00.00.00.00.0
63189부산경남2019010441000혼4등급맑음건조 (3%)67퀵무브0036870한국국산461.94015000463(-6)51.0유현명0803764420120494471462919198김남중070120<NA>1728833839300007275649000000000000000.00.00.00.00.00.00.01000087714.20.00.00.022.824.936.512.914.20.00.00.025.437.049.0
8517제주2022043051400한2등급맑음다습 (12%)104강자등극1018326한국국산5103.42114000302(-12)53.5김홍권00308230926423022055442355김영래002019<NA>27154712351016148323211611108725005058000000015.80.015.857.945.572.316.300000000.00.00.00.00.00.00.00.00.00.00.00.00.00.00.0
39753부산경남2022031141300국6등급맑음건조 (2%)58마이팔0042095한국국산483.91012001429(-3)51.5신윤섭08060628139416152427345울즐리070156<NA>15660499396633252878269570000000000000000.00.00.00.00.00.00.0600665514.40.08.823.025.526.639.114.014.40.08.831.844.857.369.9
47805부산경남2021022071200국3등급맑음양호 (6%)133퀸오브캡틴0036955한국국산677.82235000428(-1)52.0정우주0805883055356113869222김병학070121<NA>19280317420023222293938444000000000000000.00.00.00.00.00.00.09001011111114.20.00.025.523.628.739.914.314.20.00.025.537.949.163.5