Overview

Dataset statistics

Number of variables50
Number of observations100
Missing cells1906
Missing cells (%)38.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory43.5 KiB
Average record size in memory445.3 B

Variable types

Numeric32
Categorical13
Unsupported5

Alerts

item_f021 is highly imbalanced (87.9%)Imbalance
item_f031 is highly imbalanced (84.4%)Imbalance
item_f032 is highly imbalanced (84.4%)Imbalance
item_f033 is highly imbalanced (84.4%)Imbalance
item_f034 is highly imbalanced (89.8%)Imbalance
item_f035 is highly imbalanced (84.4%)Imbalance
item_f041 is highly imbalanced (86.1%)Imbalance
item_f003 has 26 (26.0%) missing valuesMissing
item_f004 has 28 (28.0%) missing valuesMissing
item_f009 has 74 (74.0%) missing valuesMissing
item_f010 has 85 (85.0%) missing valuesMissing
item_f011 has 100 (100.0%) missing valuesMissing
item_f013 has 85 (85.0%) missing valuesMissing
item_f014 has 85 (85.0%) missing valuesMissing
item_f015 has 85 (85.0%) missing valuesMissing
item_f016 has 85 (85.0%) missing valuesMissing
item_f017 has 85 (85.0%) missing valuesMissing
item_f019 has 51 (51.0%) missing valuesMissing
item_f020 has 68 (68.0%) missing valuesMissing
item_f022 has 20 (20.0%) missing valuesMissing
item_f023 has 91 (91.0%) missing valuesMissing
item_f024 has 100 (100.0%) missing valuesMissing
item_f025 has 94 (94.0%) missing valuesMissing
item_f026 has 91 (91.0%) missing valuesMissing
item_f027 has 94 (94.0%) missing valuesMissing
item_f029 has 100 (100.0%) missing valuesMissing
item_f030 has 93 (93.0%) missing valuesMissing
item_f036 has 56 (56.0%) missing valuesMissing
item_f037 has 56 (56.0%) missing valuesMissing
item_f038 has 100 (100.0%) missing valuesMissing
item_f039 has 100 (100.0%) missing valuesMissing
item_f040 has 54 (54.0%) missing valuesMissing
item_f011 is an unsupported type, check if it needs cleaning or further analysisUnsupported
item_f024 is an unsupported type, check if it needs cleaning or further analysisUnsupported
item_f029 is an unsupported type, check if it needs cleaning or further analysisUnsupported
item_f038 is an unsupported type, check if it needs cleaning or further analysisUnsupported
item_f039 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-10 10:00:49.354006
Analysis finished2023-12-10 10:00:50.076748
Duration0.72 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

test_cnt
Real number (ℝ)

Distinct8
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.11
Minimum1
Maximum38
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:00:50.160217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile5
Maximum38
Range37
Interquartile range (IQR)1

Descriptive statistics

Standard deviation3.8844289
Coefficient of variation (CV)1.8409616
Kurtosis75.257653
Mean2.11
Median Absolute Deviation (MAD)0
Skewness8.2117572
Sum211
Variance15.088788
MonotonicityNot monotonic
2023-12-10T19:00:50.337576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 65
65.0%
2 16
 
16.0%
3 8
 
8.0%
4 5
 
5.0%
5 2
 
2.0%
8 2
 
2.0%
6 1
 
1.0%
38 1
 
1.0%
ValueCountFrequency (%)
1 65
65.0%
2 16
 
16.0%
3 8
 
8.0%
4 5
 
5.0%
5 2
 
2.0%
6 1
 
1.0%
8 2
 
2.0%
38 1
 
1.0%
ValueCountFrequency (%)
38 1
 
1.0%
8 2
 
2.0%
6 1
 
1.0%
5 2
 
2.0%
4 5
 
5.0%
3 8
 
8.0%
2 16
 
16.0%
1 65
65.0%

center_nm
Categorical

Distinct36
Distinct (%)36.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
연수
15 
스포원(금정)
10 
김천
9 
중구(서울)
 
5
수원
 
5
Other values (31)
56 

Length

Max length11
Median length2
Mean length3.62
Min length2

Unique

Unique16 ?
Unique (%)16.0%

Sample

1st row광주
2nd rowKSPO송파
3rd row서초
4th row정읍
5th row수원

Common Values

ValueCountFrequency (%)
연수 15
 
15.0%
스포원(금정) 10
 
10.0%
김천 9
 
9.0%
중구(서울) 5
 
5.0%
수원 5
 
5.0%
서구(대전) 4
 
4.0%
KSPO송파 4
 
4.0%
성남 4
 
4.0%
서구(광주) 3
 
3.0%
광주 3
 
3.0%
Other values (26) 38
38.0%

Length

2023-12-10T19:00:50.545226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
연수 15
 
15.0%
스포원(금정 10
 
10.0%
김천 9
 
9.0%
중구(서울 5
 
5.0%
수원 5
 
5.0%
서구(대전 4
 
4.0%
kspo송파 4
 
4.0%
성남 4
 
4.0%
서구(광주 3
 
3.0%
광주 3
 
3.0%
Other values (26) 38
38.0%

age_gbn
Categorical

Distinct4
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
성인
49 
유소년
26 
청소년
16 
노인
9 

Length

Max length3
Median length2
Mean length2.42
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row성인
2nd row성인
3rd row성인
4th row청소년
5th row청소년

Common Values

ValueCountFrequency (%)
성인 49
49.0%
유소년 26
26.0%
청소년 16
 
16.0%
노인 9
 
9.0%

Length

2023-12-10T19:00:50.779011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:00:51.006757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
성인 49
49.0%
유소년 26
26.0%
청소년 16
 
16.0%
노인 9
 
9.0%

test_gbn
Categorical

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
출장
56 
일반
44 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row일반
2nd row일반
3rd row일반
4th row출장
5th row일반

Common Values

ValueCountFrequency (%)
출장 56
56.0%
일반 44
44.0%

Length

2023-12-10T19:00:51.219244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:00:51.439816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
출장 56
56.0%
일반 44
44.0%

test_age
Real number (ℝ)

Distinct39
Distinct (%)39.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30.05
Minimum11
Maximum81
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:00:51.716375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile11
Q112
median20
Q343.75
95-th percentile74
Maximum81
Range70
Interquartile range (IQR)31.75

Descriptive statistics

Standard deviation21.051344
Coefficient of variation (CV)0.7005439
Kurtosis-0.42166618
Mean30.05
Median Absolute Deviation (MAD)8
Skewness0.98798523
Sum3005
Variance443.15909
MonotonicityNot monotonic
2023-12-10T19:00:52.016841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
12 17
17.0%
11 9
 
9.0%
19 6
 
6.0%
13 5
 
5.0%
20 5
 
5.0%
16 5
 
5.0%
18 4
 
4.0%
21 4
 
4.0%
62 3
 
3.0%
59 3
 
3.0%
Other values (29) 39
39.0%
ValueCountFrequency (%)
11 9
9.0%
12 17
17.0%
13 5
 
5.0%
16 5
 
5.0%
17 2
 
2.0%
18 4
 
4.0%
19 6
 
6.0%
20 5
 
5.0%
21 4
 
4.0%
22 1
 
1.0%
ValueCountFrequency (%)
81 1
 
1.0%
78 1
 
1.0%
76 2
2.0%
74 2
2.0%
70 1
 
1.0%
66 2
2.0%
64 1
 
1.0%
63 2
2.0%
62 3
3.0%
59 3
3.0%

input_gbn
Categorical

Distinct3
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
관리자
83 
<NA>
12 
인바디
 
5

Length

Max length4
Median length3
Mean length3.12
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
관리자 83
83.0%
<NA> 12
 
12.0%
인바디 5
 
5.0%

Length

2023-12-10T19:00:52.341941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:00:52.684454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
관리자 83
83.0%
na 12
 
12.0%
인바디 5
 
5.0%

cert_gbn
Categorical

Distinct4
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
참가증
57 
3등급
20 
2등급
16 
1등급
7 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row참가증
2nd row3등급
3rd row2등급
4th row3등급
5th row2등급

Common Values

ValueCountFrequency (%)
참가증 57
57.0%
3등급 20
 
20.0%
2등급 16
 
16.0%
1등급 7
 
7.0%

Length

2023-12-10T19:00:53.130995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:00:53.349840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
참가증 57
57.0%
3등급 20
 
20.0%
2등급 16
 
16.0%
1등급 7
 
7.0%

test_ymd
Real number (ℝ)

Distinct10
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20211116
Minimum20211102
Maximum20211124
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:00:53.551999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20211102
5-th percentile20211104
Q120211109
median20211118
Q320211124
95-th percentile20211124
Maximum20211124
Range22
Interquartile range (IQR)15

Descriptive statistics

Standard deviation7.4141552
Coefficient of variation (CV)3.6683551 × 10-7
Kurtosis-1.5098091
Mean20211116
Median Absolute Deviation (MAD)6
Skewness-0.34187407
Sum2.0211116 × 109
Variance54.969697
MonotonicityNot monotonic
2023-12-10T19:00:53.796143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
20211124 29
29.0%
20211118 20
20.0%
20211109 18
18.0%
20211108 8
 
8.0%
20211123 7
 
7.0%
20211122 5
 
5.0%
20211105 5
 
5.0%
20211104 5
 
5.0%
20211110 2
 
2.0%
20211102 1
 
1.0%
ValueCountFrequency (%)
20211102 1
 
1.0%
20211104 5
 
5.0%
20211105 5
 
5.0%
20211108 8
 
8.0%
20211109 18
18.0%
20211110 2
 
2.0%
20211118 20
20.0%
20211122 5
 
5.0%
20211123 7
 
7.0%
20211124 29
29.0%
ValueCountFrequency (%)
20211124 29
29.0%
20211123 7
 
7.0%
20211122 5
 
5.0%
20211118 20
20.0%
20211110 2
 
2.0%
20211109 18
18.0%
20211108 8
 
8.0%
20211105 5
 
5.0%
20211104 5
 
5.0%
20211102 1
 
1.0%

test_sex
Categorical

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
F
51 
M
49 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowF
2nd rowF
3rd rowM
4th rowM
5th rowF

Common Values

ValueCountFrequency (%)
F 51
51.0%
M 49
49.0%

Length

2023-12-10T19:00:54.418981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:00:54.590201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
f 51
51.0%
m 49
49.0%

item_f001
Real number (ℝ)

Distinct81
Distinct (%)81.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean161.38
Minimum144.6
Maximum180.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:00:54.811655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum144.6
5-th percentile146.2
Q1153.25
median162.5
Q3169.35
95-th percentile174.885
Maximum180.9
Range36.3
Interquartile range (IQR)16.1

Descriptive statistics

Standard deviation8.9674833
Coefficient of variation (CV)0.055567501
Kurtosis-0.84104156
Mean161.38
Median Absolute Deviation (MAD)7.45
Skewness-0.057855879
Sum16138
Variance80.415758
MonotonicityNot monotonic
2023-12-10T19:00:55.140998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
152.8 3
 
3.0%
170.6 3
 
3.0%
169.8 3
 
3.0%
151.9 2
 
2.0%
161.4 2
 
2.0%
162.6 2
 
2.0%
162.8 2
 
2.0%
146.2 2
 
2.0%
169.5 2
 
2.0%
159.3 2
 
2.0%
Other values (71) 77
77.0%
ValueCountFrequency (%)
144.6 1
1.0%
145.2 1
1.0%
145.4 1
1.0%
146.1 1
1.0%
146.2 2
2.0%
146.7 1
1.0%
147.7 1
1.0%
148.0 1
1.0%
148.4 1
1.0%
149.3 1
1.0%
ValueCountFrequency (%)
180.9 1
1.0%
179.4 1
1.0%
178.3 1
1.0%
176.7 1
1.0%
176.5 1
1.0%
174.8 1
1.0%
174.2 1
1.0%
173.0 1
1.0%
172.9 1
1.0%
172.6 1
1.0%

item_f002
Real number (ℝ)

Distinct90
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean60.0942
Minimum33
Maximum97.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:00:55.549240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33
5-th percentile38.82
Q150.9
median57.95
Q370.35
95-th percentile82.505
Maximum97.4
Range64.4
Interquartile range (IQR)19.45

Descriptive statistics

Standard deviation14.040113
Coefficient of variation (CV)0.23363508
Kurtosis-0.25470331
Mean60.0942
Median Absolute Deviation (MAD)9.3
Skewness0.36129298
Sum6009.42
Variance197.12478
MonotonicityNot monotonic
2023-12-10T19:00:55.889997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
50.9 3
 
3.0%
53.3 3
 
3.0%
57.2 2
 
2.0%
74.0 2
 
2.0%
38.9 2
 
2.0%
60.4 2
 
2.0%
53.9 2
 
2.0%
63.7 2
 
2.0%
39.3 1
 
1.0%
60.7 1
 
1.0%
Other values (80) 80
80.0%
ValueCountFrequency (%)
33.0 1
1.0%
35.6 1
1.0%
35.7 1
1.0%
36.7 1
1.0%
37.3 1
1.0%
38.9 2
2.0%
39.3 1
1.0%
40.4 1
1.0%
40.5 1
1.0%
40.7 1
1.0%
ValueCountFrequency (%)
97.4 1
1.0%
94.3 1
1.0%
91.7 1
1.0%
86.5 1
1.0%
86.4 1
1.0%
82.3 1
1.0%
81.52 1
1.0%
80.9 1
1.0%
79.8 1
1.0%
79.3 1
1.0%

item_f003
Real number (ℝ)

MISSING 

Distinct72
Distinct (%)97.3%
Missing26
Missing (%)26.0%
Infinite0
Infinite (%)0.0%
Mean26.898649
Minimum10.3
Maximum44.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:00:56.154914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10.3
5-th percentile14.06
Q119.85
median27.5
Q333.775
95-th percentile40.54
Maximum44.4
Range34.1
Interquartile range (IQR)13.925

Descriptive statistics

Standard deviation8.6579363
Coefficient of variation (CV)0.32187254
Kurtosis-1.0229205
Mean26.898649
Median Absolute Deviation (MAD)7.45
Skewness0.10848868
Sum1990.5
Variance74.959861
MonotonicityNot monotonic
2023-12-10T19:00:56.415488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
31.2 2
 
2.0%
13.8 2
 
2.0%
15.9 1
 
1.0%
29.4 1
 
1.0%
35.6 1
 
1.0%
21.5 1
 
1.0%
44.4 1
 
1.0%
18.9 1
 
1.0%
23.3 1
 
1.0%
33.1 1
 
1.0%
Other values (62) 62
62.0%
(Missing) 26
26.0%
ValueCountFrequency (%)
10.3 1
1.0%
11.7 1
1.0%
13.8 2
2.0%
14.2 1
1.0%
14.6 1
1.0%
14.7 1
1.0%
15.1 1
1.0%
15.9 1
1.0%
17.2 1
1.0%
17.3 1
1.0%
ValueCountFrequency (%)
44.4 1
1.0%
42.8 1
1.0%
40.9 1
1.0%
40.8 1
1.0%
40.4 1
1.0%
39.6 1
1.0%
39.5 1
1.0%
39.3 1
1.0%
37.8 1
1.0%
37.7 1
1.0%

item_f004
Real number (ℝ)

MISSING 

Distinct56
Distinct (%)77.8%
Missing28
Missing (%)28.0%
Infinite0
Infinite (%)0.0%
Mean78.455556
Minimum56
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:00:56.679963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum56
5-th percentile61.775
Q171
median78
Q384.8
95-th percentile97.45
Maximum100
Range44
Interquartile range (IQR)13.8

Descriptive statistics

Standard deviation10.732259
Coefficient of variation (CV)0.13679412
Kurtosis-0.60049447
Mean78.455556
Median Absolute Deviation (MAD)7
Skewness0.22364587
Sum5648.8
Variance115.18138
MonotonicityNot monotonic
2023-12-10T19:00:56.952720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
78.0 3
 
3.0%
72.0 3
 
3.0%
65.0 3
 
3.0%
75.0 2
 
2.0%
96.0 2
 
2.0%
69.0 2
 
2.0%
76.0 2
 
2.0%
68.0 2
 
2.0%
71.9 2
 
2.0%
71.0 2
 
2.0%
Other values (46) 49
49.0%
(Missing) 28
28.0%
ValueCountFrequency (%)
56.0 1
 
1.0%
60.0 1
 
1.0%
61.0 1
 
1.0%
61.5 1
 
1.0%
62.0 1
 
1.0%
64.0 1
 
1.0%
65.0 3
3.0%
66.0 1
 
1.0%
67.0 1
 
1.0%
68.0 2
2.0%
ValueCountFrequency (%)
100.0 2
2.0%
99.1 1
1.0%
98.0 1
1.0%
97.0 1
1.0%
96.0 2
2.0%
93.4 1
1.0%
93.2 1
1.0%
92.0 1
1.0%
91.8 1
1.0%
91.0 1
1.0%

item_f005
Real number (ℝ)

Distinct33
Distinct (%)33.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean76.39
Minimum42
Maximum98
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:00:57.277886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum42
5-th percentile63.95
Q170
median78
Q380
95-th percentile89.05
Maximum98
Range56
Interquartile range (IQR)10

Descriptive statistics

Standard deviation9.1584205
Coefficient of variation (CV)0.11989031
Kurtosis2.0294196
Mean76.39
Median Absolute Deviation (MAD)5
Skewness-0.73040899
Sum7639
Variance83.876667
MonotonicityNot monotonic
2023-12-10T19:00:57.662769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
80 25
25.0%
69 7
 
7.0%
77 6
 
6.0%
66 4
 
4.0%
89 4
 
4.0%
71 4
 
4.0%
73 4
 
4.0%
65 4
 
4.0%
70 4
 
4.0%
78 3
 
3.0%
Other values (23) 35
35.0%
ValueCountFrequency (%)
42 1
 
1.0%
46 1
 
1.0%
58 1
 
1.0%
60 1
 
1.0%
63 1
 
1.0%
64 1
 
1.0%
65 4
4.0%
66 4
4.0%
68 2
 
2.0%
69 7
7.0%
ValueCountFrequency (%)
98 1
 
1.0%
97 1
 
1.0%
91 1
 
1.0%
90 2
2.0%
89 4
4.0%
88 2
2.0%
87 2
2.0%
86 1
 
1.0%
85 1
 
1.0%
84 2
2.0%

item_f006
Real number (ℝ)

Distinct42
Distinct (%)42.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.36
Minimum97
Maximum159
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:00:57.971897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum97
5-th percentile106.95
Q1120
median124
Q3134
95-th percentile155
Maximum159
Range62
Interquartile range (IQR)14

Descriptive statistics

Standard deviation13.892459
Coefficient of variation (CV)0.10908023
Kurtosis-0.15895215
Mean127.36
Median Absolute Deviation (MAD)6.5
Skewness0.49746396
Sum12736
Variance193.0004
MonotonicityNot monotonic
2023-12-10T19:00:58.330685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
120 23
23.0%
130 6
 
6.0%
122 4
 
4.0%
134 4
 
4.0%
150 4
 
4.0%
125 3
 
3.0%
132 3
 
3.0%
109 3
 
3.0%
115 3
 
3.0%
124 3
 
3.0%
Other values (32) 44
44.0%
ValueCountFrequency (%)
97 1
 
1.0%
103 2
2.0%
104 1
 
1.0%
106 1
 
1.0%
107 2
2.0%
109 3
3.0%
110 1
 
1.0%
113 1
 
1.0%
115 3
3.0%
116 1
 
1.0%
ValueCountFrequency (%)
159 1
 
1.0%
158 3
3.0%
155 2
2.0%
152 1
 
1.0%
150 4
4.0%
148 1
 
1.0%
147 2
2.0%
145 2
2.0%
144 1
 
1.0%
143 1
 
1.0%

item_f007
Real number (ℝ)

Distinct92
Distinct (%)92.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.726
Minimum9.9
Maximum57.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:00:58.824912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9.9
5-th percentile14.365
Q118.875
median24.9
Q334.925
95-th percentile46.235
Maximum57.5
Range47.6
Interquartile range (IQR)16.05

Descriptive statistics

Standard deviation10.933394
Coefficient of variation (CV)0.39433725
Kurtosis-0.18723348
Mean27.726
Median Absolute Deviation (MAD)7.1
Skewness0.73103941
Sum2772.6
Variance119.53912
MonotonicityNot monotonic
2023-12-10T19:00:59.156028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
22.5 3
 
3.0%
32.0 2
 
2.0%
15.4 2
 
2.0%
19.8 2
 
2.0%
40.1 2
 
2.0%
23.4 2
 
2.0%
17.1 2
 
2.0%
23.5 1
 
1.0%
15.7 1
 
1.0%
17.3 1
 
1.0%
Other values (82) 82
82.0%
ValueCountFrequency (%)
9.9 1
1.0%
12.6 1
1.0%
12.7 1
1.0%
13.3 1
1.0%
13.7 1
1.0%
14.4 1
1.0%
15.1 1
1.0%
15.3 1
1.0%
15.4 2
2.0%
15.7 1
1.0%
ValueCountFrequency (%)
57.5 1
1.0%
55.1 1
1.0%
54.1 1
1.0%
53.2 1
1.0%
46.9 1
1.0%
46.2 1
1.0%
45.8 1
1.0%
45.4 1
1.0%
44.3 1
1.0%
43.9 1
1.0%

item_f008
Real number (ℝ)

Distinct90
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.552
Minimum9.7
Maximum62.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:00:59.610840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9.7
5-th percentile12.69
Q121.1
median27.75
Q335.8
95-th percentile51.87
Maximum62.2
Range52.5
Interquartile range (IQR)14.7

Descriptive statistics

Standard deviation11.725484
Coefficient of variation (CV)0.39677462
Kurtosis-0.24058855
Mean29.552
Median Absolute Deviation (MAD)7.65
Skewness0.59420997
Sum2955.2
Variance137.48697
MonotonicityNot monotonic
2023-12-10T19:00:59.907731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
39.0 2
 
2.0%
21.1 2
 
2.0%
35.7 2
 
2.0%
18.0 2
 
2.0%
28.9 2
 
2.0%
23.2 2
 
2.0%
32.7 2
 
2.0%
16.3 2
 
2.0%
21.7 2
 
2.0%
19.7 2
 
2.0%
Other values (80) 80
80.0%
ValueCountFrequency (%)
9.7 1
1.0%
10.0 1
1.0%
10.6 1
1.0%
11.6 1
1.0%
12.5 1
1.0%
12.7 1
1.0%
13.8 1
1.0%
15.3 1
1.0%
15.4 1
1.0%
16.3 2
2.0%
ValueCountFrequency (%)
62.2 1
1.0%
56.5 1
1.0%
53.9 1
1.0%
53.8 1
1.0%
53.2 1
1.0%
51.8 1
1.0%
50.3 1
1.0%
48.5 1
1.0%
47.9 1
1.0%
47.4 1
1.0%

item_f009
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)73.1%
Missing74
Missing (%)74.0%
Infinite0
Infinite (%)0.0%
Mean35.884615
Minimum2
Maximum80
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:01:00.205793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4.5
Q116.25
median24.5
Q354.25
95-th percentile80
Maximum80
Range78
Interquartile range (IQR)38

Descriptive statistics

Standard deviation25.613008
Coefficient of variation (CV)0.71376012
Kurtosis-1.0443303
Mean35.884615
Median Absolute Deviation (MAD)14.5
Skewness0.52936297
Sum933
Variance656.02615
MonotonicityNot monotonic
2023-12-10T19:01:00.473549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
22 4
 
4.0%
80 3
 
3.0%
11 2
 
2.0%
61 2
 
2.0%
55 1
 
1.0%
9 1
 
1.0%
19 1
 
1.0%
46 1
 
1.0%
3 1
 
1.0%
51 1
 
1.0%
Other values (9) 9
 
9.0%
(Missing) 74
74.0%
ValueCountFrequency (%)
2 1
 
1.0%
3 1
 
1.0%
9 1
 
1.0%
11 2
2.0%
12 1
 
1.0%
16 1
 
1.0%
17 1
 
1.0%
19 1
 
1.0%
22 4
4.0%
27 1
 
1.0%
ValueCountFrequency (%)
80 3
3.0%
77 1
 
1.0%
61 2
2.0%
55 1
 
1.0%
52 1
 
1.0%
51 1
 
1.0%
46 1
 
1.0%
38 1
 
1.0%
37 1
 
1.0%
27 1
 
1.0%

item_f010
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)86.7%
Missing85
Missing (%)85.0%
Infinite0
Infinite (%)0.0%
Mean32.666667
Minimum14
Maximum52
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:01:00.744985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14
5-th percentile14.7
Q128
median32
Q340.5
95-th percentile48.5
Maximum52
Range38
Interquartile range (IQR)12.5

Descriptive statistics

Standard deviation10.794619
Coefficient of variation (CV)0.33044753
Kurtosis-0.28890111
Mean32.666667
Median Absolute Deviation (MAD)8
Skewness-0.062058145
Sum490
Variance116.52381
MonotonicityNot monotonic
2023-12-10T19:01:01.007272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
29 2
 
2.0%
32 2
 
2.0%
47 1
 
1.0%
31 1
 
1.0%
41 1
 
1.0%
23 1
 
1.0%
14 1
 
1.0%
43 1
 
1.0%
40 1
 
1.0%
52 1
 
1.0%
Other values (3) 3
 
3.0%
(Missing) 85
85.0%
ValueCountFrequency (%)
14 1
1.0%
15 1
1.0%
23 1
1.0%
27 1
1.0%
29 2
2.0%
31 1
1.0%
32 2
2.0%
35 1
1.0%
40 1
1.0%
41 1
1.0%
ValueCountFrequency (%)
52 1
1.0%
47 1
1.0%
43 1
1.0%
41 1
1.0%
40 1
1.0%
35 1
1.0%
32 2
2.0%
31 1
1.0%
29 2
2.0%
27 1
1.0%

item_f011
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size1.0 KiB

item_f012
Real number (ℝ)

Distinct82
Distinct (%)82.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.753
Minimum-20
Maximum29.4
Zeros0
Zeros (%)0.0%
Negative10
Negative (%)10.0%
Memory size1.0 KiB
2023-12-10T19:01:01.286857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-20
5-th percentile-8.1
Q15.45
median12.25
Q317.65
95-th percentile24.36
Maximum29.4
Range49.4
Interquartile range (IQR)12.2

Descriptive statistics

Standard deviation10.21019
Coefficient of variation (CV)0.94952009
Kurtosis1.204693
Mean10.753
Median Absolute Deviation (MAD)6.6
Skewness-0.9072418
Sum1075.3
Variance104.24797
MonotonicityNot monotonic
2023-12-10T19:01:01.574783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10.0 3
 
3.0%
-20.0 3
 
3.0%
22.4 3
 
3.0%
15.0 2
 
2.0%
12.3 2
 
2.0%
2.5 2
 
2.0%
19.0 2
 
2.0%
9.5 2
 
2.0%
9.8 2
 
2.0%
19.5 2
 
2.0%
Other values (72) 77
77.0%
ValueCountFrequency (%)
-20.0 3
3.0%
-15.4 1
 
1.0%
-10.0 1
 
1.0%
-8.0 1
 
1.0%
-5.1 1
 
1.0%
-2.0 1
 
1.0%
-1.9 1
 
1.0%
-1.7 1
 
1.0%
0.3 1
 
1.0%
0.4 1
 
1.0%
ValueCountFrequency (%)
29.4 1
 
1.0%
28.0 1
 
1.0%
26.8 1
 
1.0%
26.5 1
 
1.0%
25.5 1
 
1.0%
24.3 1
 
1.0%
24.0 1
 
1.0%
23.3 1
 
1.0%
23.0 1
 
1.0%
22.4 3
3.0%

item_f013
Real number (ℝ)

MISSING 

Distinct15
Distinct (%)100.0%
Missing85
Missing (%)85.0%
Infinite0
Infinite (%)0.0%
Mean22.694667
Minimum17.81
Maximum30.31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:01:01.875304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum17.81
5-th percentile18.797
Q120.245
median21.76
Q324.385
95-th percentile29.519
Maximum30.31
Range12.5
Interquartile range (IQR)4.14

Descriptive statistics

Standard deviation3.54722
Coefficient of variation (CV)0.15630192
Kurtosis0.45689158
Mean22.694667
Median Absolute Deviation (MAD)1.58
Skewness1.0022055
Sum340.42
Variance12.58277
MonotonicityNot monotonic
2023-12-10T19:01:02.286732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
19.22 1
 
1.0%
20.2 1
 
1.0%
20.29 1
 
1.0%
25.78 1
 
1.0%
30.31 1
 
1.0%
17.81 1
 
1.0%
24.86 1
 
1.0%
21.76 1
 
1.0%
22.43 1
 
1.0%
23.91 1
 
1.0%
Other values (5) 5
 
5.0%
(Missing) 85
85.0%
ValueCountFrequency (%)
17.81 1
1.0%
19.22 1
1.0%
20.18 1
1.0%
20.2 1
1.0%
20.29 1
1.0%
20.87 1
1.0%
21.41 1
1.0%
21.76 1
1.0%
22.21 1
1.0%
22.43 1
1.0%
ValueCountFrequency (%)
30.31 1
1.0%
29.18 1
1.0%
25.78 1
1.0%
24.86 1
1.0%
23.91 1
1.0%
22.43 1
1.0%
22.21 1
1.0%
21.76 1
1.0%
21.41 1
1.0%
20.87 1
1.0%

item_f014
Real number (ℝ)

MISSING 

Distinct14
Distinct (%)93.3%
Missing85
Missing (%)85.0%
Infinite0
Infinite (%)0.0%
Mean0.46873333
Minimum0.362
Maximum0.576
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:01:02.523926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.362
5-th percentile0.3746
Q10.416
median0.484
Q30.5085
95-th percentile0.5704
Maximum0.576
Range0.214
Interquartile range (IQR)0.0925

Descriptive statistics

Standard deviation0.065977774
Coefficient of variation (CV)0.14075759
Kurtosis-1.0069865
Mean0.46873333
Median Absolute Deviation (MAD)0.051
Skewness0.071338772
Sum7.031
Variance0.0043530667
MonotonicityNot monotonic
2023-12-10T19:01:02.731144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0.498 2
 
2.0%
0.576 1
 
1.0%
0.519 1
 
1.0%
0.437 1
 
1.0%
0.362 1
 
1.0%
0.435 1
 
1.0%
0.484 1
 
1.0%
0.494 1
 
1.0%
0.413 1
 
1.0%
0.535 1
 
1.0%
Other values (4) 4
 
4.0%
(Missing) 85
85.0%
ValueCountFrequency (%)
0.362 1
1.0%
0.38 1
1.0%
0.413 1
1.0%
0.415 1
1.0%
0.417 1
1.0%
0.435 1
1.0%
0.437 1
1.0%
0.484 1
1.0%
0.494 1
1.0%
0.498 2
2.0%
ValueCountFrequency (%)
0.576 1
1.0%
0.568 1
1.0%
0.535 1
1.0%
0.519 1
1.0%
0.498 2
2.0%
0.494 1
1.0%
0.484 1
1.0%
0.437 1
1.0%
0.435 1
1.0%
0.417 1
1.0%

item_f015
Real number (ℝ)

MISSING 

Distinct15
Distinct (%)100.0%
Missing85
Missing (%)85.0%
Infinite0
Infinite (%)0.0%
Mean58.2974
Minimum43.983
Maximum75.104
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:01:02.930149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum43.983
5-th percentile46.7571
Q150.6575
median58.665
Q365.1155
95-th percentile70.8676
Maximum75.104
Range31.121
Interquartile range (IQR)14.458

Descriptive statistics

Standard deviation9.0674404
Coefficient of variation (CV)0.15553765
Kurtosis-0.91405949
Mean58.2974
Median Absolute Deviation (MAD)8.162
Skewness0.2207557
Sum874.461
Variance82.218475
MonotonicityNot monotonic
2023-12-10T19:01:03.252904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
62.579 1
 
1.0%
49.451 1
 
1.0%
75.104 1
 
1.0%
68.076 1
 
1.0%
69.052 1
 
1.0%
58.665 1
 
1.0%
43.983 1
 
1.0%
53.626 1
 
1.0%
50.423 1
 
1.0%
55.131 1
 
1.0%
Other values (5) 5
 
5.0%
(Missing) 85
85.0%
ValueCountFrequency (%)
43.983 1
1.0%
47.946 1
1.0%
49.451 1
1.0%
50.423 1
1.0%
50.892 1
1.0%
53.626 1
1.0%
55.131 1
1.0%
58.665 1
1.0%
59.302 1
1.0%
62.579 1
1.0%
ValueCountFrequency (%)
75.104 1
1.0%
69.052 1
1.0%
68.076 1
1.0%
66.827 1
1.0%
63.404 1
1.0%
62.579 1
1.0%
59.302 1
1.0%
58.665 1
1.0%
55.131 1
1.0%
53.626 1
1.0%

item_f016
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)73.3%
Missing85
Missing (%)85.0%
Infinite0
Infinite (%)0.0%
Mean11.066667
Minimum4
Maximum26
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:01:03.509604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile4.7
Q16.5
median10
Q313
95-th percentile22.5
Maximum26
Range22
Interquartile range (IQR)6.5

Descriptive statistics

Standard deviation6.08824
Coefficient of variation (CV)0.55014217
Kurtosis1.4943258
Mean11.066667
Median Absolute Deviation (MAD)3
Skewness1.2158657
Sum166
Variance37.066667
MonotonicityNot monotonic
2023-12-10T19:01:03.755663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
13 3
 
3.0%
10 2
 
2.0%
5 2
 
2.0%
4 1
 
1.0%
26 1
 
1.0%
14 1
 
1.0%
8 1
 
1.0%
7 1
 
1.0%
21 1
 
1.0%
6 1
 
1.0%
(Missing) 85
85.0%
ValueCountFrequency (%)
4 1
 
1.0%
5 2
2.0%
6 1
 
1.0%
7 1
 
1.0%
8 1
 
1.0%
10 2
2.0%
11 1
 
1.0%
13 3
3.0%
14 1
 
1.0%
21 1
 
1.0%
ValueCountFrequency (%)
26 1
 
1.0%
21 1
 
1.0%
14 1
 
1.0%
13 3
3.0%
11 1
 
1.0%
10 2
2.0%
8 1
 
1.0%
7 1
 
1.0%
6 1
 
1.0%
5 2
2.0%

item_f017
Real number (ℝ)

MISSING 

Distinct15
Distinct (%)100.0%
Missing85
Missing (%)85.0%
Infinite0
Infinite (%)0.0%
Mean58.806467
Minimum44.949
Maximum75.702
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:01:03.959990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum44.949
5-th percentile47.3689
Q151.0255
median58.987
Q365.4835
95-th percentile71.3046
Maximum75.702
Range30.753
Interquartile range (IQR)14.458

Descriptive statistics

Standard deviation8.9727769
Coefficient of variation (CV)0.15258147
Kurtosis-0.87267128
Mean58.806467
Median Absolute Deviation (MAD)8.288
Skewness0.27218648
Sum882.097
Variance80.510725
MonotonicityNot monotonic
2023-12-10T19:01:04.224974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
62.763 1
 
1.0%
50.647 1
 
1.0%
75.702 1
 
1.0%
68.72 1
 
1.0%
69.42 1
 
1.0%
58.987 1
 
1.0%
44.949 1
 
1.0%
54.224 1
 
1.0%
50.699 1
 
1.0%
55.729 1
 
1.0%
Other values (5) 5
 
5.0%
(Missing) 85
85.0%
ValueCountFrequency (%)
44.949 1
1.0%
48.406 1
1.0%
50.647 1
1.0%
50.699 1
1.0%
51.352 1
1.0%
54.224 1
1.0%
55.729 1
1.0%
58.987 1
1.0%
59.532 1
1.0%
62.763 1
1.0%
ValueCountFrequency (%)
75.702 1
1.0%
69.42 1
1.0%
68.72 1
1.0%
67.333 1
1.0%
63.634 1
1.0%
62.763 1
1.0%
59.532 1
1.0%
58.987 1
1.0%
55.729 1
1.0%
54.224 1
1.0%

item_f018
Real number (ℝ)

Distinct74
Distinct (%)74.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.855
Minimum14.1
Maximum33.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:01:04.481554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14.1
5-th percentile16.9
Q119.775
median22.95
Q325.125
95-th percentile28.72
Maximum33.2
Range19.1
Interquartile range (IQR)5.35

Descriptive statistics

Standard deviation3.939886
Coefficient of variation (CV)0.17238618
Kurtosis-0.14446002
Mean22.855
Median Absolute Deviation (MAD)2.65
Skewness0.27196026
Sum2285.5
Variance15.522702
MonotonicityNot monotonic
2023-12-10T19:01:05.285918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
23.7 4
 
4.0%
16.9 3
 
3.0%
28.6 3
 
3.0%
21.4 3
 
3.0%
27.0 2
 
2.0%
23.5 2
 
2.0%
22.8 2
 
2.0%
23.1 2
 
2.0%
23.6 2
 
2.0%
23.4 2
 
2.0%
Other values (64) 75
75.0%
ValueCountFrequency (%)
14.1 1
 
1.0%
15.5 1
 
1.0%
15.7 1
 
1.0%
16.3 1
 
1.0%
16.9 3
3.0%
17.6 2
2.0%
17.7 1
 
1.0%
17.8 1
 
1.0%
17.9 1
 
1.0%
18.2 1
 
1.0%
ValueCountFrequency (%)
33.2 1
 
1.0%
32.2 1
 
1.0%
31.7 1
 
1.0%
31.6 1
 
1.0%
29.1 1
 
1.0%
28.7 2
2.0%
28.6 3
3.0%
28.1 1
 
1.0%
27.8 1
 
1.0%
27.7 1
 
1.0%

item_f019
Real number (ℝ)

MISSING 

Distinct38
Distinct (%)77.6%
Missing51
Missing (%)51.0%
Infinite0
Infinite (%)0.0%
Mean34.755102
Minimum0
Maximum66
Zeros1
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:01:05.563898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile11.2
Q122
median35
Q349
95-th percentile60.4
Maximum66
Range66
Interquartile range (IQR)27

Descriptive statistics

Standard deviation16.860371
Coefficient of variation (CV)0.48511931
Kurtosis-0.82718115
Mean34.755102
Median Absolute Deviation (MAD)14
Skewness-0.091413814
Sum1703
Variance284.27211
MonotonicityNot monotonic
2023-12-10T19:01:05.873217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
15 3
 
3.0%
55 3
 
3.0%
50 3
 
3.0%
20 2
 
2.0%
38 2
 
2.0%
13 2
 
2.0%
22 2
 
2.0%
32 2
 
2.0%
45 1
 
1.0%
57 1
 
1.0%
Other values (28) 28
28.0%
(Missing) 51
51.0%
ValueCountFrequency (%)
0 1
 
1.0%
1 1
 
1.0%
10 1
 
1.0%
13 2
2.0%
14 1
 
1.0%
15 3
3.0%
16 1
 
1.0%
20 2
2.0%
22 2
2.0%
24 1
 
1.0%
ValueCountFrequency (%)
66 1
 
1.0%
63 1
 
1.0%
62 1
 
1.0%
58 1
 
1.0%
57 1
 
1.0%
55 3
3.0%
54 1
 
1.0%
50 3
3.0%
49 1
 
1.0%
48 1
 
1.0%

item_f020
Real number (ℝ)

MISSING 

Distinct27
Distinct (%)84.4%
Missing68
Missing (%)68.0%
Infinite0
Infinite (%)0.0%
Mean49.46875
Minimum14
Maximum123
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:01:06.130076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14
5-th percentile15.1
Q122.5
median46
Q368.25
95-th percentile96.15
Maximum123
Range109
Interquartile range (IQR)45.75

Descriptive statistics

Standard deviation28.894675
Coefficient of variation (CV)0.58409955
Kurtosis-0.018118492
Mean49.46875
Median Absolute Deviation (MAD)23
Skewness0.72686014
Sum1583
Variance834.90222
MonotonicityNot monotonic
2023-12-10T19:01:06.466723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
84 3
 
3.0%
19 2
 
2.0%
14 2
 
2.0%
20 2
 
2.0%
38 1
 
1.0%
61 1
 
1.0%
68 1
 
1.0%
23 1
 
1.0%
39 1
 
1.0%
52 1
 
1.0%
Other values (17) 17
 
17.0%
(Missing) 68
68.0%
ValueCountFrequency (%)
14 2
2.0%
16 1
1.0%
19 2
2.0%
20 2
2.0%
21 1
1.0%
23 1
1.0%
27 1
1.0%
29 1
1.0%
31 1
1.0%
38 1
1.0%
ValueCountFrequency (%)
123 1
 
1.0%
111 1
 
1.0%
84 3
3.0%
79 1
 
1.0%
73 1
 
1.0%
69 1
 
1.0%
68 1
 
1.0%
66 1
 
1.0%
63 1
 
1.0%
61 1
 
1.0%

item_f021
Categorical

IMBALANCE 

Distinct4
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
<NA>
97 
10.18
 
1
11.13
 
1
10.09
 
1

Length

Max length5
Median length4
Mean length4.03
Min length4

Unique

Unique3 ?
Unique (%)3.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 97
97.0%
10.18 1
 
1.0%
11.13 1
 
1.0%
10.09 1
 
1.0%

Length

2023-12-10T19:01:06.822989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:01:07.082990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 97
97.0%
10.18 1
 
1.0%
11.13 1
 
1.0%
10.09 1
 
1.0%

item_f022
Real number (ℝ)

MISSING 

Distinct57
Distinct (%)71.2%
Missing20
Missing (%)20.0%
Infinite0
Infinite (%)0.0%
Mean165.0875
Minimum78
Maximum266
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:01:07.323270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum78
5-th percentile105
Q1138
median158.5
Q3194
95-th percentile237.2
Maximum266
Range188
Interquartile range (IQR)56

Descriptive statistics

Standard deviation42.563488
Coefficient of variation (CV)0.25782381
Kurtosis-0.63944829
Mean165.0875
Median Absolute Deviation (MAD)32.5
Skewness0.24313085
Sum13207
Variance1811.6505
MonotonicityNot monotonic
2023-12-10T19:01:07.680910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
140 4
 
4.0%
194 3
 
3.0%
120 3
 
3.0%
145 3
 
3.0%
105 3
 
3.0%
219 2
 
2.0%
186 2
 
2.0%
176 2
 
2.0%
110 2
 
2.0%
220 2
 
2.0%
Other values (47) 54
54.0%
(Missing) 20
 
20.0%
ValueCountFrequency (%)
78 1
 
1.0%
80 1
 
1.0%
100 1
 
1.0%
105 3
3.0%
110 2
2.0%
115 1
 
1.0%
116 1
 
1.0%
118 1
 
1.0%
120 3
3.0%
123 1
 
1.0%
ValueCountFrequency (%)
266 1
1.0%
246 1
1.0%
242 1
1.0%
241 1
1.0%
237 1
1.0%
235 1
1.0%
231 1
1.0%
228 1
1.0%
220 2
2.0%
219 2
2.0%

item_f023
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)77.8%
Missing91
Missing (%)91.0%
Infinite0
Infinite (%)0.0%
Mean22.888889
Minimum15
Maximum30
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:01:07.968215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum15
5-th percentile16.2
Q119
median23
Q326
95-th percentile30
Maximum30
Range15
Interquartile range (IQR)7

Descriptive statistics

Standard deviation5.1585958
Coefficient of variation (CV)0.22537555
Kurtosis-0.83370453
Mean22.888889
Median Absolute Deviation (MAD)4
Skewness0.095971665
Sum206
Variance26.611111
MonotonicityNot monotonic
2023-12-10T19:01:08.185394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
23 2
 
2.0%
30 2
 
2.0%
26 1
 
1.0%
22 1
 
1.0%
18 1
 
1.0%
15 1
 
1.0%
19 1
 
1.0%
(Missing) 91
91.0%
ValueCountFrequency (%)
15 1
1.0%
18 1
1.0%
19 1
1.0%
22 1
1.0%
23 2
2.0%
26 1
1.0%
30 2
2.0%
ValueCountFrequency (%)
30 2
2.0%
26 1
1.0%
23 2
2.0%
22 1
1.0%
19 1
1.0%
18 1
1.0%
15 1
1.0%

item_f024
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size1.0 KiB

item_f025
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)100.0%
Missing94
Missing (%)94.0%
Infinite0
Infinite (%)0.0%
Mean121.16667
Minimum106
Maximum138
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:01:08.461558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum106
5-th percentile107.25
Q1113.75
median123
Q3125.5
95-th percentile135
Maximum138
Range32
Interquartile range (IQR)11.75

Descriptive statistics

Standard deviation11.391517
Coefficient of variation (CV)0.094015274
Kurtosis-0.24322935
Mean121.16667
Median Absolute Deviation (MAD)7.5
Skewness0.074390305
Sum727
Variance129.76667
MonotonicityNot monotonic
2023-12-10T19:01:08.674338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
111 1
 
1.0%
122 1
 
1.0%
126 1
 
1.0%
138 1
 
1.0%
124 1
 
1.0%
106 1
 
1.0%
(Missing) 94
94.0%
ValueCountFrequency (%)
106 1
1.0%
111 1
1.0%
122 1
1.0%
124 1
1.0%
126 1
1.0%
138 1
1.0%
ValueCountFrequency (%)
138 1
1.0%
126 1
1.0%
124 1
1.0%
122 1
1.0%
111 1
1.0%
106 1
1.0%

item_f026
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)100.0%
Missing91
Missing (%)91.0%
Infinite0
Infinite (%)0.0%
Mean5.65
Minimum4.54
Maximum7.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:01:08.940988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4.54
5-th percentile4.552
Q14.79
median5.16
Q36.1
95-th percentile7.32
Maximum7.6
Range3.06
Interquartile range (IQR)1.31

Descriptive statistics

Standard deviation1.0852534
Coefficient of variation (CV)0.19208025
Kurtosis-0.60444443
Mean5.65
Median Absolute Deviation (MAD)0.62
Skewness0.75443342
Sum50.85
Variance1.177775
MonotonicityNot monotonic
2023-12-10T19:01:09.175108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
5.16 1
 
1.0%
4.57 1
 
1.0%
4.54 1
 
1.0%
4.79 1
 
1.0%
5.11 1
 
1.0%
6.08 1
 
1.0%
6.9 1
 
1.0%
7.6 1
 
1.0%
6.1 1
 
1.0%
(Missing) 91
91.0%
ValueCountFrequency (%)
4.54 1
1.0%
4.57 1
1.0%
4.79 1
1.0%
5.11 1
1.0%
5.16 1
1.0%
6.08 1
1.0%
6.1 1
1.0%
6.9 1
1.0%
7.6 1
1.0%
ValueCountFrequency (%)
7.6 1
1.0%
6.9 1
1.0%
6.1 1
1.0%
6.08 1
1.0%
5.16 1
1.0%
5.11 1
1.0%
4.79 1
1.0%
4.57 1
1.0%
4.54 1
1.0%

item_f027
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)100.0%
Missing94
Missing (%)94.0%
Infinite0
Infinite (%)0.0%
Mean21.583333
Minimum19.56
Maximum25.15
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:01:09.413444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19.56
5-th percentile19.6475
Q120.145
median21.41
Q322.0375
95-th percentile24.3775
Maximum25.15
Range5.59
Interquartile range (IQR)1.8925

Descriptive statistics

Standard deviation2.0263037
Coefficient of variation (CV)0.093882797
Kurtosis1.5059208
Mean21.583333
Median Absolute Deviation (MAD)1.075
Skewness1.1601829
Sum129.5
Variance4.1059067
MonotonicityNot monotonic
2023-12-10T19:01:09.627131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
19.91 1
 
1.0%
20.85 1
 
1.0%
21.97 1
 
1.0%
22.06 1
 
1.0%
19.56 1
 
1.0%
25.15 1
 
1.0%
(Missing) 94
94.0%
ValueCountFrequency (%)
19.56 1
1.0%
19.91 1
1.0%
20.85 1
1.0%
21.97 1
1.0%
22.06 1
1.0%
25.15 1
1.0%
ValueCountFrequency (%)
25.15 1
1.0%
22.06 1
1.0%
21.97 1
1.0%
20.85 1
1.0%
19.91 1
1.0%
19.56 1
1.0%

item_f028
Real number (ℝ)

Distinct89
Distinct (%)89.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean49.317
Minimum25.4
Maximum80.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:01:09.877350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum25.4
5-th percentile33.095
Q139.6
median46.85
Q359.4
95-th percentile71.135
Maximum80.1
Range54.7
Interquartile range (IQR)19.8

Descriptive statistics

Standard deviation12.321961
Coefficient of variation (CV)0.2498522
Kurtosis-0.3660051
Mean49.317
Median Absolute Deviation (MAD)8.15
Skewness0.47019638
Sum4931.7
Variance151.83072
MonotonicityNot monotonic
2023-12-10T19:01:10.112787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
38.7 3
 
3.0%
51.5 2
 
2.0%
38.9 2
 
2.0%
39.6 2
 
2.0%
42.3 2
 
2.0%
52.7 2
 
2.0%
35.6 2
 
2.0%
33.4 2
 
2.0%
41.9 2
 
2.0%
63.9 2
 
2.0%
Other values (79) 79
79.0%
ValueCountFrequency (%)
25.4 1
1.0%
26.6 1
1.0%
29.6 1
1.0%
30.9 1
1.0%
31.1 1
1.0%
33.2 1
1.0%
33.4 2
2.0%
34.9 1
1.0%
35.6 2
2.0%
35.7 1
1.0%
ValueCountFrequency (%)
80.1 1
1.0%
78.8 1
1.0%
77.5 1
1.0%
76.3 1
1.0%
73.7 1
1.0%
71.0 1
1.0%
69.9 1
1.0%
68.4 1
1.0%
67.5 1
1.0%
64.9 1
1.0%

item_f029
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size1.0 KiB

item_f030
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)100.0%
Missing93
Missing (%)93.0%
Infinite0
Infinite (%)0.0%
Mean-1.9857143
Minimum-38.4
Maximum47.1
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)4.0%
Memory size1.0 KiB
2023-12-10T19:01:10.357887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-38.4
5-th percentile-37.86
Q1-34.2
median-28.9
Q337.35
95-th percentile44.34
Maximum47.1
Range85.5
Interquartile range (IQR)71.55

Descriptive statistics

Standard deviation40.087464
Coefficient of variation (CV)-20.187931
Kurtosis-2.6699279
Mean-1.9857143
Median Absolute Deviation (MAD)9.5
Skewness0.37781609
Sum-13.9
Variance1607.0048
MonotonicityNot monotonic
2023-12-10T19:01:10.577890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
-38.4 1
 
1.0%
-28.9 1
 
1.0%
36.8 1
 
1.0%
37.9 1
 
1.0%
47.1 1
 
1.0%
-31.8 1
 
1.0%
-36.6 1
 
1.0%
(Missing) 93
93.0%
ValueCountFrequency (%)
-38.4 1
1.0%
-36.6 1
1.0%
-31.8 1
1.0%
-28.9 1
1.0%
36.8 1
1.0%
37.9 1
1.0%
47.1 1
1.0%
ValueCountFrequency (%)
47.1 1
1.0%
37.9 1
1.0%
36.8 1
1.0%
-28.9 1
1.0%
-31.8 1
1.0%
-36.6 1
1.0%
-38.4 1
1.0%

item_f031
Categorical

IMBALANCE 

Distinct6
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
<NA>
95 
58
 
1
60
 
1
85
 
1
111
 
1

Length

Max length4
Median length4
Mean length3.91
Min length2

Unique

Unique5 ?
Unique (%)5.0%

Sample

1st row<NA>
2nd row58
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 95
95.0%
58 1
 
1.0%
60 1
 
1.0%
85 1
 
1.0%
111 1
 
1.0%
94 1
 
1.0%

Length

2023-12-10T19:01:10.803922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:01:11.041729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 95
95.0%
58 1
 
1.0%
60 1
 
1.0%
85 1
 
1.0%
111 1
 
1.0%
94 1
 
1.0%

item_f032
Categorical

IMBALANCE 

Distinct6
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
<NA>
95 
95
 
1
96
 
1
125
 
1
128
 
1

Length

Max length4
Median length4
Mean length3.93
Min length2

Unique

Unique5 ?
Unique (%)5.0%

Sample

1st row<NA>
2nd row95
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 95
95.0%
95 1
 
1.0%
96 1
 
1.0%
125 1
 
1.0%
128 1
 
1.0%
142 1
 
1.0%

Length

2023-12-10T19:01:11.297845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:01:11.552855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 95
95.0%
95 1
 
1.0%
96 1
 
1.0%
125 1
 
1.0%
128 1
 
1.0%
142 1
 
1.0%

item_f033
Categorical

IMBALANCE 

Distinct6
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
<NA>
95 
116
 
1
143
 
1
148
 
1
149
 
1

Length

Max length4
Median length4
Mean length3.95
Min length3

Unique

Unique5 ?
Unique (%)5.0%

Sample

1st row<NA>
2nd row116
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 95
95.0%
116 1
 
1.0%
143 1
 
1.0%
148 1
 
1.0%
149 1
 
1.0%
165 1
 
1.0%

Length

2023-12-10T19:01:11.810880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:01:12.008818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 95
95.0%
116 1
 
1.0%
143 1
 
1.0%
148 1
 
1.0%
149 1
 
1.0%
165 1
 
1.0%

item_f034
Categorical

IMBALANCE 

Distinct3
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
<NA>
98 
171
 
1
187
 
1

Length

Max length4
Median length4
Mean length3.98
Min length3

Unique

Unique2 ?
Unique (%)2.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 98
98.0%
171 1
 
1.0%
187 1
 
1.0%

Length

2023-12-10T19:01:12.249944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:01:12.512544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 98
98.0%
171 1
 
1.0%
187 1
 
1.0%

item_f035
Categorical

IMBALANCE 

Distinct6
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
<NA>
95 
39.6
 
1
37.2
 
1
35.8
 
1
34.7
 
1

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique5 ?
Unique (%)5.0%

Sample

1st row<NA>
2nd row39.6
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 95
95.0%
39.6 1
 
1.0%
37.2 1
 
1.0%
35.8 1
 
1.0%
34.7 1
 
1.0%
29.6 1
 
1.0%

Length

2023-12-10T19:01:12.817575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:01:13.315859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 95
95.0%
39.6 1
 
1.0%
37.2 1
 
1.0%
35.8 1
 
1.0%
34.7 1
 
1.0%
29.6 1
 
1.0%

item_f036
Real number (ℝ)

MISSING 

Distinct34
Distinct (%)77.3%
Missing56
Missing (%)56.0%
Infinite0
Infinite (%)0.0%
Mean109.79545
Minimum67
Maximum145
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:01:14.241284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum67
5-th percentile77.15
Q197.75
median110.5
Q3124
95-th percentile137.55
Maximum145
Range78
Interquartile range (IQR)26.25

Descriptive statistics

Standard deviation19.604911
Coefficient of variation (CV)0.17855849
Kurtosis-0.61300243
Mean109.79545
Median Absolute Deviation (MAD)13.5
Skewness-0.32073578
Sum4831
Variance384.35254
MonotonicityNot monotonic
2023-12-10T19:01:14.826921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
124 3
 
3.0%
107 3
 
3.0%
109 2
 
2.0%
98 2
 
2.0%
115 2
 
2.0%
106 2
 
2.0%
78 2
 
2.0%
133 2
 
2.0%
89 1
 
1.0%
74 1
 
1.0%
Other values (24) 24
24.0%
(Missing) 56
56.0%
ValueCountFrequency (%)
67 1
1.0%
74 1
1.0%
77 1
1.0%
78 2
2.0%
83 1
1.0%
87 1
1.0%
89 1
1.0%
91 1
1.0%
93 1
1.0%
97 1
1.0%
ValueCountFrequency (%)
145 1
 
1.0%
142 1
 
1.0%
138 1
 
1.0%
135 1
 
1.0%
133 2
2.0%
132 1
 
1.0%
129 1
 
1.0%
128 1
 
1.0%
125 1
 
1.0%
124 3
3.0%

item_f037
Real number (ℝ)

MISSING 

Distinct41
Distinct (%)93.2%
Missing56
Missing (%)56.0%
Infinite0
Infinite (%)0.0%
Mean38.825
Minimum24
Maximum56.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:01:15.200211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum24
5-th percentile27.56
Q134.725
median38.85
Q342.7
95-th percentile48.45
Maximum56.1
Range32.1
Interquartile range (IQR)7.975

Descriptive statistics

Standard deviation6.714688
Coefficient of variation (CV)0.17294753
Kurtosis0.13357435
Mean38.825
Median Absolute Deviation (MAD)4.2
Skewness0.11878854
Sum1708.3
Variance45.087035
MonotonicityNot monotonic
2023-12-10T19:01:15.557444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
38.0 2
 
2.0%
34.8 2
 
2.0%
45.6 2
 
2.0%
41.0 1
 
1.0%
51.3 1
 
1.0%
33.0 1
 
1.0%
38.7 1
 
1.0%
38.9 1
 
1.0%
35.0 1
 
1.0%
48.6 1
 
1.0%
Other values (31) 31
31.0%
(Missing) 56
56.0%
ValueCountFrequency (%)
24.0 1
1.0%
27.3 1
1.0%
27.5 1
1.0%
27.9 1
1.0%
31.1 1
1.0%
31.5 1
1.0%
31.6 1
1.0%
33.0 1
1.0%
33.3 1
1.0%
33.6 1
1.0%
ValueCountFrequency (%)
56.1 1
1.0%
51.3 1
1.0%
48.6 1
1.0%
47.6 1
1.0%
47.5 1
1.0%
45.9 1
1.0%
45.6 2
2.0%
45.4 1
1.0%
45.1 1
1.0%
43.9 1
1.0%

item_f038
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size1.0 KiB

item_f039
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size1.0 KiB

item_f040
Real number (ℝ)

MISSING 

Distinct42
Distinct (%)91.3%
Missing54
Missing (%)54.0%
Infinite0
Infinite (%)0.0%
Mean0.37123913
Minimum0.281
Maximum0.565
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:01:15.933759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.281
5-th percentile0.29525
Q10.33425
median0.3695
Q30.39675
95-th percentile0.456
Maximum0.565
Range0.284
Interquartile range (IQR)0.0625

Descriptive statistics

Standard deviation0.055181392
Coefficient of variation (CV)0.1486411
Kurtosis2.0065894
Mean0.37123913
Median Absolute Deviation (MAD)0.0325
Skewness0.97276392
Sum17.077
Variance0.003044986
MonotonicityNot monotonic
2023-12-10T19:01:16.374621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
0.393 2
 
2.0%
0.312 2
 
2.0%
0.379 2
 
2.0%
0.456 2
 
2.0%
0.412 1
 
1.0%
0.315 1
 
1.0%
0.367 1
 
1.0%
0.387 1
 
1.0%
0.356 1
 
1.0%
0.395 1
 
1.0%
Other values (32) 32
32.0%
(Missing) 54
54.0%
ValueCountFrequency (%)
0.281 1
1.0%
0.288 1
1.0%
0.293 1
1.0%
0.302 1
1.0%
0.312 2
2.0%
0.315 1
1.0%
0.317 1
1.0%
0.318 1
1.0%
0.324 1
1.0%
0.331 1
1.0%
ValueCountFrequency (%)
0.565 1
1.0%
0.468 1
1.0%
0.456 2
2.0%
0.442 1
1.0%
0.437 1
1.0%
0.426 1
1.0%
0.415 1
1.0%
0.412 1
1.0%
0.404 1
1.0%
0.399 1
1.0%

item_f041
Categorical

IMBALANCE 

Distinct5
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
<NA>
96 
0.551
 
1
0.398
 
1
0.376
 
1
0.596
 
1

Length

Max length5
Median length4
Mean length4.04
Min length4

Unique

Unique4 ?
Unique (%)4.0%

Sample

1st row<NA>
2nd row<NA>
3rd row0.551
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 96
96.0%
0.551 1
 
1.0%
0.398 1
 
1.0%
0.376 1
 
1.0%
0.596 1
 
1.0%

Length

2023-12-10T19:01:16.692308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:01:16.900962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 96
96.0%
0.551 1
 
1.0%
0.398 1
 
1.0%
0.376 1
 
1.0%
0.596 1
 
1.0%

Sample

test_cntcenter_nmage_gbntest_gbntest_ageinput_gbncert_gbntest_ymdtest_sexitem_f001item_f002item_f003item_f004item_f005item_f006item_f007item_f008item_f009item_f010item_f011item_f012item_f013item_f014item_f015item_f016item_f017item_f018item_f019item_f020item_f021item_f022item_f023item_f024item_f025item_f026item_f027item_f028item_f029item_f030item_f031item_f032item_f033item_f034item_f035item_f036item_f037item_f038item_f039item_f040item_f041
03광주성인일반62관리자참가증20211109F146.154.240.984.06612423.523.1<NA><NA><NA>15.1<NA><NA><NA><NA><NA>25.40<NA><NA>78<NA><NA><NA><NA><NA>43.4<NA><NA><NA><NA><NA><NA><NA>13327.5<NA><NA>0.437<NA>
11KSPO송파성인일반46<NA>3등급20211110F163.052.420.068.78915229.333.5<NA><NA><NA>12.8<NA><NA><NA><NA><NA>19.737<NA><NA>178<NA><NA><NA><NA><NA>63.9<NA><NA>5895116<NA>39.6<NA><NA><NA><NA>0.404<NA>
21서초성인일반64관리자2등급20211109M171.473.621.891.07815836.845.1<NA><NA><NA>8.9<NA><NA><NA><NA><NA>25.131<NA><NA><NA><NA><NA><NA><NA><NA>61.3<NA><NA><NA><NA><NA><NA><NA>10636.1<NA><NA>0.4680.551
31정읍청소년출장13관리자3등급20211108M155.440.711.7<NA>7113125.121.7<NA>47<NA>4.119.220.57662.579462.76316.9<NA><NA><NA><NA><NA><NA><NA><NA><NA>61.7<NA><NA><NA><NA><NA><NA><NA>6756.1<NA><NA><NA><NA>
41수원청소년일반18관리자2등급20211108F165.270.227.482.06812730.131.6<NA>31<NA>25.520.20.49849.4512650.64725.7<NA><NA><NA><NA><NA><NA><NA><NA><NA>45.0<NA><NA><NA><NA><NA><NA><NA>12538.0<NA><NA><NA><NA>
51창원성인일반20관리자참가증20211108M167.880.928.692.07313042.843.9<NA><NA><NA>7.5<NA><NA><NA><NA><NA>28.750<NA><NA>217<NA><NA><NA><NA><NA>54.3<NA><NA><NA><NA><NA><NA><NA>13341.1<NA><NA>0.293<NA>
62정읍청소년출장13관리자참가증20211108M165.175.428.1<NA>7112924.429.3<NA>41<NA>1.020.290.51975.1041375.70227.7<NA><NA><NA><NA><NA><NA><NA><NA><NA>38.9<NA><NA><NA><NA><NA><NA><NA>14241.6<NA><NA><NA><NA>
72강북성인일반42<NA>참가증20211110M172.694.327.6100.08913542.747.4<NA><NA><NA>10.5<NA><NA><NA><NA><NA>31.722<NA><NA>197<NA><NA><NA><NA><NA>50.3<NA><NA><NA><NA><NA><NA><NA>12334.5<NA><NA>0.399<NA>
85창원마산회원성인출장19관리자2등급20211109M169.362.810.3<NA>6512043.950.3<NA><NA><NA>17.8<NA><NA><NA><NA><NA>21.948<NA><NA>235<NA><NA><NA><NA><NA>80.1<NA><NA><NA><NA><NA><NA><NA>11947.5<NA><NA>0.324<NA>
92청주성인일반21관리자3등급20211123F169.865.134.685.76911625.930.2<NA><NA><NA>19.5<NA><NA><NA><NA><NA>22.625<NA><NA>140<NA><NA><NA><NA><NA>46.4<NA><NA><NA><NA><NA><NA><NA>13234.8<NA><NA>0.339<NA>
test_cntcenter_nmage_gbntest_gbntest_ageinput_gbncert_gbntest_ymdtest_sexitem_f001item_f002item_f003item_f004item_f005item_f006item_f007item_f008item_f009item_f010item_f011item_f012item_f013item_f014item_f015item_f016item_f017item_f018item_f019item_f020item_f021item_f022item_f023item_f024item_f025item_f026item_f027item_f028item_f029item_f030item_f031item_f032item_f033item_f034item_f035item_f036item_f037item_f038item_f039item_f040item_f041
902신안노인출장76관리자참가증20211118F150.558.332.4<NA>6914317.018.0<NA><NA><NA>19.0<NA><NA><NA><NA><NA>25.7<NA><NA><NA><NA>18<NA><NA>6.9<NA>30.9<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
912신안노인출장70관리자참가증20211118F176.574.029.0<NA>8012532.028.0<NA><NA><NA>2.0<NA><NA><NA><NA><NA>23.8<NA><NA><NA><NA>15<NA><NA>7.6<NA>43.2<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
922신안노인출장66관리자참가증20211118F144.651.040.4<NA>7113022.522.0<NA><NA><NA>23.0<NA><NA><NA><NA><NA>24.4<NA><NA><NA><NA>19<NA><NA>6.1<NA>44.1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
931전주성인일반24인바디참가증20211109M170.670.521.181.78912542.143.7<NA><NA><NA>-1.7<NA><NA><NA><NA><NA>24.250<NA><NA>185<NA><NA><NA><NA><NA>62.0<NA><NA><NA><NA><NA><NA><NA>11645.1<NA><NA>0.393<NA>
941영동유소년출장11관리자참가증20211108F147.753.0<NA>99.17112918.419.69<NA><NA>7.3<NA><NA><NA><NA><NA>24.3<NA>20<NA>105<NA><NA><NA><NA><NA>37.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
951중구(서울)성인일반25관리자2등급20211109F146.252.622.5<NA>7311830.332.7<NA><NA><NA>15.9<NA><NA><NA><NA><NA>24.645<NA><NA>186<NA><NA><NA><NA><NA>62.2<NA><NA><NA><NA><NA><NA><NA>8340.8<NA><NA>0.412<NA>
961스포원(금정)유소년출장12관리자3등급20211105F150.036.7<NA>60.08210713.79.722<NA><NA>11.5<NA><NA><NA><NA><NA>16.3<NA>61<NA>140<NA><NA><NA><NA><NA>37.3<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
971중구(서울)성인출장26관리자참가증20211109F165.478.223.8<NA>7711744.341.7<NA><NA><NA>0.3<NA><NA><NA><NA><NA>28.657<NA><NA>215<NA><NA><NA><NA><NA>56.6<NA><NA><NA><NA><NA><NA><NA>9135.2<NA><NA>0.386<NA>
981제주성인출장28관리자참가증20211109M173.079.820.291.88814545.851.8<NA><NA><NA>1.2<NA><NA><NA><NA><NA>26.742<NA><NA>220<NA><NA><NA><NA><NA>64.9<NA><NA><NA><NA><NA><NA><NA>9345.6<NA><NA>0.373<NA>
992화성성인일반63관리자참가증20211124F160.875.239.5<NA>7012222.626.8<NA><NA><NA>12.2<NA><NA><NA><NA><NA>29.127<NA><NA>100<NA><NA><NA><NA><NA>35.6<NA><NA><NA><NA><NA><NA><NA>12924.0<NA><NA>0.395<NA>