Overview

Dataset statistics

Number of variables37
Number of observations199
Missing cells18
Missing cells (%)0.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory63.1 KiB
Average record size in memory324.7 B

Variable types

Numeric24
Categorical9
DateTime1
Text3

Alerts

ko is highly imbalanced (56.2%)Imbalance
0.0.1 is highly imbalanced (90.6%)Imbalance
0.0.8 is highly imbalanced (91.9%)Imbalance
1 is highly imbalanced (56.2%)Imbalance
c5d6a359c840456cae2a2adca6c3761d.png has 18 (9.0%) missing valuesMissing
4515997 has unique valuesUnique
0 has 47 (23.6%) zerosZeros
5.5 has 4 (2.0%) zerosZeros
0.0 has 58 (29.1%) zerosZeros
-2.0 has 76 (38.2%) zerosZeros
6.5 has 7 (3.5%) zerosZeros
2.45 has 36 (18.1%) zerosZeros
2.5 has 106 (53.3%) zerosZeros
205.0 has 7 (3.5%) zerosZeros
0.0.2 has 68 (34.2%) zerosZeros
0.0.3 has 47 (23.6%) zerosZeros
0.0.4 has 62 (31.2%) zerosZeros
0.0.5 has 46 (23.1%) zerosZeros
0.0.6 has 87 (43.7%) zerosZeros
0.0.7 has 95 (47.7%) zerosZeros
0.0.9 has 58 (29.1%) zerosZeros
0.0.10 has 55 (27.6%) zerosZeros
0.0.11 has 88 (44.2%) zerosZeros
0.0.12 has 91 (45.7%) zerosZeros

Reproduction

Analysis started2023-12-10 06:18:59.060258
Analysis finished2023-12-10 06:18:59.769408
Duration0.71 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

4515997
Real number (ℝ)

UNIQUE 

Distinct199
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4482948.2
Minimum4417655
Maximum4573922
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:18:59.906867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4417655
5-th percentile4417667.9
Q14417707.5
median4516001
Q34516071.5
95-th percentile4573912.1
Maximum4573922
Range156267
Interquartile range (IQR)98364

Descriptive statistics

Standard deviation58326.729
Coefficient of variation (CV)0.013010797
Kurtosis-1.3958287
Mean4482948.2
Median Absolute Deviation (MAD)57919
Skewness0.21247893
Sum8.9210668 × 108
Variance3.4020073 × 109
MonotonicityNot monotonic
2023-12-10T15:19:00.198141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4515998 1
 
0.5%
4417698 1
 
0.5%
4417693 1
 
0.5%
4516069 1
 
0.5%
4417694 1
 
0.5%
4516070 1
 
0.5%
4417695 1
 
0.5%
4516071 1
 
0.5%
4417696 1
 
0.5%
4516072 1
 
0.5%
Other values (189) 189
95.0%
ValueCountFrequency (%)
4417655 1
0.5%
4417656 1
0.5%
4417657 1
0.5%
4417661 1
0.5%
4417662 1
0.5%
4417663 1
0.5%
4417664 1
0.5%
4417665 1
0.5%
4417666 1
0.5%
4417667 1
0.5%
ValueCountFrequency (%)
4573922 1
0.5%
4573921 1
0.5%
4573920 1
0.5%
4573919 1
0.5%
4573918 1
0.5%
4573917 1
0.5%
4573916 1
0.5%
4573915 1
0.5%
4573914 1
0.5%
4573913 1
0.5%

d42428b6c2e982bd9a612e22bba86e48e946264bc89afeaad621974f1cab712c
Categorical

Distinct13
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
78bd0e5083fc54be1b3e5f52273f0001da0751720bf564af8b15685630bfc4f0
65 
ff904f5e230b9b2ec5382794c83df322433f2dd817e6c12ccc3126b951fda2a4
29 
efa2c0e9457770bbf28268f2368660ad7e6acc18b2f2e274ca262366fcd7d2e6
18 
76268f871892c81267d672bb4ba7d1f285ee15eaa78255d169eb2b613bbc4c96
18 
b155669b8a598bed223734c07ea8c9dc4eb88809225a63c60e54708db836b6ea
18 
Other values (8)
51 

Length

Max length64
Median length64
Mean length64
Min length64

Unique

Unique2 ?
Unique (%)1.0%

Sample

1st rowd42428b6c2e982bd9a612e22bba86e48e946264bc89afeaad621974f1cab712c
2nd rowd42428b6c2e982bd9a612e22bba86e48e946264bc89afeaad621974f1cab712c
3rd rowd42428b6c2e982bd9a612e22bba86e48e946264bc89afeaad621974f1cab712c
4th rowd42428b6c2e982bd9a612e22bba86e48e946264bc89afeaad621974f1cab712c
5th rowd42428b6c2e982bd9a612e22bba86e48e946264bc89afeaad621974f1cab712c

Common Values

ValueCountFrequency (%)
78bd0e5083fc54be1b3e5f52273f0001da0751720bf564af8b15685630bfc4f0 65
32.7%
ff904f5e230b9b2ec5382794c83df322433f2dd817e6c12ccc3126b951fda2a4 29
14.6%
efa2c0e9457770bbf28268f2368660ad7e6acc18b2f2e274ca262366fcd7d2e6 18
 
9.0%
76268f871892c81267d672bb4ba7d1f285ee15eaa78255d169eb2b613bbc4c96 18
 
9.0%
b155669b8a598bed223734c07ea8c9dc4eb88809225a63c60e54708db836b6ea 18
 
9.0%
94b904c410c114a8b8b71db79cdba32e27438a50c06f13d434aca28526223b65 16
 
8.0%
e0f11e5933be4b91074fd112cedbc97f0769d43058498c1e4327cdff0e830926 13
 
6.5%
d42428b6c2e982bd9a612e22bba86e48e946264bc89afeaad621974f1cab712c 11
 
5.5%
f17a8612028d5a0f2fbf1b21ca65f27efdd666f37b25d59e3675bd58c4fab867 4
 
2.0%
cf4e01f1c6959f2979b0d77fbad468a8e169ae44ee5c19eaedd31fd674fd74e8 3
 
1.5%
Other values (3) 4
 
2.0%

Length

2023-12-10T15:19:00.485550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
78bd0e5083fc54be1b3e5f52273f0001da0751720bf564af8b15685630bfc4f0 65
32.7%
ff904f5e230b9b2ec5382794c83df322433f2dd817e6c12ccc3126b951fda2a4 29
14.6%
efa2c0e9457770bbf28268f2368660ad7e6acc18b2f2e274ca262366fcd7d2e6 18
 
9.0%
76268f871892c81267d672bb4ba7d1f285ee15eaa78255d169eb2b613bbc4c96 18
 
9.0%
b155669b8a598bed223734c07ea8c9dc4eb88809225a63c60e54708db836b6ea 18
 
9.0%
94b904c410c114a8b8b71db79cdba32e27438a50c06f13d434aca28526223b65 16
 
8.0%
e0f11e5933be4b91074fd112cedbc97f0769d43058498c1e4327cdff0e830926 13
 
6.5%
d42428b6c2e982bd9a612e22bba86e48e946264bc89afeaad621974f1cab712c 11
 
5.5%
f17a8612028d5a0f2fbf1b21ca65f27efdd666f37b25d59e3675bd58c4fab867 4
 
2.0%
cf4e01f1c6959f2979b0d77fbad468a8e169ae44ee5c19eaedd31fd674fd74e8 3
 
1.5%
Other values (3) 4
 
2.0%

0
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.3015075
Minimum0
Maximum6
Zeros47
Zeros (%)23.6%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:19:00.694111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q32
95-th percentile4.1
Maximum6
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.2510794
Coefficient of variation (CV)0.96125408
Kurtosis3.5369776
Mean1.3015075
Median Absolute Deviation (MAD)1
Skewness1.7097005
Sum259
Variance1.5651997
MonotonicityNot monotonic
2023-12-10T15:19:00.944794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 91
45.7%
0 47
23.6%
2 40
20.1%
3 9
 
4.5%
5 7
 
3.5%
6 3
 
1.5%
4 2
 
1.0%
ValueCountFrequency (%)
0 47
23.6%
1 91
45.7%
2 40
20.1%
3 9
 
4.5%
4 2
 
1.0%
5 7
 
3.5%
6 3
 
1.5%
ValueCountFrequency (%)
6 3
 
1.5%
5 7
 
3.5%
4 2
 
1.0%
3 9
 
4.5%
2 40
20.1%
1 91
45.7%
0 47
23.6%

2020-01-17 09:14:28
Date

Distinct99
Distinct (%)49.7%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
Minimum2020-01-01 18:40:18
Maximum2020-01-30 07:24:30
2023-12-10T15:19:01.155274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:19:01.452375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

0.5
Real number (ℝ)

Distinct15
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.90440216
Minimum0.210084
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:19:01.754914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.210084
5-th percentile0.25
Q10.75
median1
Q31
95-th percentile1.5
Maximum3
Range2.789916
Interquartile range (IQR)0.25

Descriptive statistics

Standard deviation0.38157819
Coefficient of variation (CV)0.42191208
Kurtosis6.4395847
Mean0.90440216
Median Absolute Deviation (MAD)0
Skewness1.3879705
Sum179.97603
Variance0.14560192
MonotonicityNot monotonic
2023-12-10T15:19:01.987819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
1.0 126
63.3%
0.5 25
 
12.6%
0.25 16
 
8.0%
0.75 14
 
7.0%
2.0 5
 
2.5%
1.5 2
 
1.0%
1.14286 2
 
1.0%
0.4 2
 
1.0%
0.857143 1
 
0.5%
0.210084 1
 
0.5%
Other values (5) 5
 
2.5%
ValueCountFrequency (%)
0.210084 1
 
0.5%
0.25 16
 
8.0%
0.4 2
 
1.0%
0.5 25
 
12.6%
0.733333 1
 
0.5%
0.75 14
 
7.0%
0.857143 1
 
0.5%
1.0 126
63.3%
1.14286 2
 
1.0%
1.5 2
 
1.0%
ValueCountFrequency (%)
3.0 1
 
0.5%
2.5 1
 
0.5%
2.0 5
 
2.5%
1.92308 1
 
0.5%
1.66667 1
 
0.5%
1.5 2
 
1.0%
1.14286 2
 
1.0%
1.0 126
63.3%
0.857143 1
 
0.5%
0.75 14
 
7.0%

ko
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
ko
181 
KR
 
18

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
ko 181
91.0%
KR 18
 
9.0%

Length

2023-12-10T15:19:02.180823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:19:02.343135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
ko 181
91.0%
kr 18
 
9.0%

치킨너겟
Text

Distinct114
Distinct (%)57.3%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2023-12-10T15:19:02.891186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length14
Mean length5.6482412
Min length1

Characters and Unicode

Total characters1124
Distinct characters221
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique76 ?
Unique (%)38.2%

Sample

1st row쌀밥
2nd row삼각김밥
3rd row델몬트 드링크팩 사과 190ml
4th row요플레 오리지널 딸기
5th row에이스
ValueCountFrequency (%)
쌀밥 12
 
4.6%
뉴트리셔널 10
 
3.8%
쉐이크 10
 
3.8%
믹스 10
 
3.8%
쿠키앤크림맛 10
 
3.8%
허벌라이프 10
 
3.8%
삶은계란 8
 
3.1%
고구마(찐것 5
 
1.9%
김구이 5
 
1.9%
고구마(구운것 5
 
1.9%
Other values (125) 177
67.6%
2023-12-10T15:19:03.738986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
63
 
5.6%
이 45
 
4.0%
구 31
 
2.8%
밥 27
 
2.4%
크 25
 
2.2%
스 22
 
2.0%
( 21
 
1.9%
) 20
 
1.8%
라 19
 
1.7%
리 19
 
1.7%
Other values (211) 832
74.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1004
89.3%
Space Separator 63
 
5.6%
Open Punctuation 21
 
1.9%
Close Punctuation 20
 
1.8%
Decimal Number 8
 
0.7%
Other Punctuation 4
 
0.4%
Lowercase Letter 4
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 45
 
4.5%
구 31
 
3.1%
밥 27
 
2.7%
크 25
 
2.5%
스 22
 
2.2%
라 19
 
1.9%
리 19
 
1.9%
김 19
 
1.9%
고 16
 
1.6%
소 14
 
1.4%
Other values (198) 767
76.4%
Decimal Number
ValueCountFrequency (%)
0 3
37.5%
9 1
 
12.5%
1 1
 
12.5%
5 1
 
12.5%
3 1
 
12.5%
4 1
 
12.5%
Other Punctuation
ValueCountFrequency (%)
" 3
75.0%
% 1
 
25.0%
Lowercase Letter
ValueCountFrequency (%)
m 2
50.0%
l 2
50.0%
Space Separator
ValueCountFrequency (%)
63
100.0%
Open Punctuation
ValueCountFrequency (%)
( 21
100.0%
Close Punctuation
ValueCountFrequency (%)
) 20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1004
89.3%
Common 116
 
10.3%
Latin 4
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 45
 
4.5%
구 31
 
3.1%
밥 27
 
2.7%
크 25
 
2.5%
스 22
 
2.2%
라 19
 
1.9%
리 19
 
1.9%
김 19
 
1.9%
고 16
 
1.6%
소 14
 
1.4%
Other values (198) 767
76.4%
Common
ValueCountFrequency (%)
63
54.3%
( 21
 
18.1%
) 20
 
17.2%
0 3
 
2.6%
" 3
 
2.6%
9 1
 
0.9%
1 1
 
0.9%
% 1
 
0.9%
5 1
 
0.9%
3 1
 
0.9%
Latin
ValueCountFrequency (%)
m 2
50.0%
l 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1004
89.3%
ASCII 120
 
10.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
63
52.5%
( 21
 
17.5%
) 20
 
16.7%
0 3
 
2.5%
" 3
 
2.5%
m 2
 
1.7%
l 2
 
1.7%
9 1
 
0.8%
1 1
 
0.8%
% 1
 
0.8%
Other values (3) 3
 
2.5%
Hangul
ValueCountFrequency (%)
이 45
 
4.5%
구 31
 
3.1%
밥 27
 
2.7%
크 25
 
2.5%
스 22
 
2.2%
라 19
 
1.9%
리 19
 
1.9%
김 19
 
1.9%
고 16
 
1.6%
소 14
 
1.4%
Other values (198) 767
76.4%

1인분
Categorical

Distinct29
Distinct (%)14.6%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
1개
47 
1접시
39 
1인분
29 
1공기
20 
1대접
12 
Other values (24)
52 

Length

Max length10
Median length3
Mean length3.4221106
Min length2

Unique

Unique13 ?
Unique (%)6.5%

Sample

1st row1공기
2nd row1개
3rd row1팩
4th row1컵
5th row1회제공량

Common Values

ValueCountFrequency (%)
1개 47
23.6%
1접시 39
19.6%
1인분 29
14.6%
1공기 20
10.1%
1대접 12
 
6.0%
1회제공량(2스푼) 10
 
5.0%
1컵 6
 
3.0%
1봉지 4
 
2.0%
1인분(16개) 3
 
1.5%
1인분(1/5개) 3
 
1.5%
Other values (19) 26
13.1%

Length

2023-12-10T15:19:03.998251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
1개 47
23.6%
1접시 39
19.6%
1인분 29
14.6%
1공기 20
10.1%
1대접 12
 
6.0%
1회제공량(2스푼 10
 
5.0%
1컵 6
 
3.0%
1봉지 4
 
2.0%
1인분(16개 3
 
1.5%
1인분(1/5개 3
 
1.5%
Other values (19) 26
13.1%

50.0
Text

Distinct69
Distinct (%)34.7%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2023-12-10T15:19:04.360655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length4.5175879
Min length3

Characters and Unicode

Total characters899
Distinct characters13
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

Unique32 ?
Unique (%)16.1%

Sample

1st row210.0
2nd row110.0
3rd row60.0
4th row85.0
5th row18.0
ValueCountFrequency (%)
100.0 15
 
7.5%
50.0 14
 
7.0%
25.0 13
 
6.5%
210.0 12
 
6.0%
200.0 11
 
5.5%
150.0 10
 
5.0%
250.0 8
 
4.0%
130.0 7
 
3.5%
105.0 5
 
2.5%
75.0 4
 
2.0%
Other values (59) 100
50.3%
2023-12-10T15:19:04.983953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 346
38.5%
. 196
21.8%
5 94
 
10.5%
1 84
 
9.3%
2 63
 
7.0%
3 30
 
3.3%
7 24
 
2.7%
6 22
 
2.4%
4 14
 
1.6%
8 11
 
1.2%
Other values (3) 15
 
1.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 697
77.5%
Other Punctuation 196
 
21.8%
Other Letter 6
 
0.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 346
49.6%
5 94
 
13.5%
1 84
 
12.1%
2 63
 
9.0%
3 30
 
4.3%
7 24
 
3.4%
6 22
 
3.2%
4 14
 
2.0%
8 11
 
1.6%
9 9
 
1.3%
Other Letter
ValueCountFrequency (%)
접 3
50.0%
시 3
50.0%
Other Punctuation
ValueCountFrequency (%)
. 196
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 893
99.3%
Hangul 6
 
0.7%

Most frequent character per script

Common
ValueCountFrequency (%)
0 346
38.7%
. 196
21.9%
5 94
 
10.5%
1 84
 
9.4%
2 63
 
7.1%
3 30
 
3.4%
7 24
 
2.7%
6 22
 
2.5%
4 14
 
1.6%
8 11
 
1.2%
Hangul
ValueCountFrequency (%)
접 3
50.0%
시 3
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 893
99.3%
Hangul 6
 
0.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 346
38.7%
. 196
21.9%
5 94
 
10.5%
1 84
 
9.4%
2 63
 
7.1%
3 30
 
3.4%
7 24
 
2.7%
6 22
 
2.5%
4 14
 
1.6%
8 11
 
1.2%
Hangul
ValueCountFrequency (%)
접 3
50.0%
시 3
50.0%

105.0
Real number (ℝ)

Distinct138
Distinct (%)69.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean159.06958
Minimum4.26125
Maximum926
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:19:05.637081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4.26125
5-th percentile10
Q146.9347
median91.5
Q3223.925
95-th percentile441.1848
Maximum926
Range921.73875
Interquartile range (IQR)176.9903

Descriptive statistics

Standard deviation159.65318
Coefficient of variation (CV)1.0036689
Kurtosis5.0051737
Mean159.06958
Median Absolute Deviation (MAD)64.98
Skewness1.9860246
Sum31654.846
Variance25489.139
MonotonicityNot monotonic
2023-12-10T15:19:05.873366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
90.0 10
 
5.0%
71.5 8
 
4.0%
326.7 7
 
3.5%
169.0 4
 
2.0%
17.045 4
 
2.0%
245.025 3
 
1.5%
80.5 3
 
1.5%
10.0 3
 
1.5%
329.05 3
 
1.5%
243.0 3
 
1.5%
Other values (128) 151
75.9%
ValueCountFrequency (%)
4.26125 1
 
0.5%
4.5 1
 
0.5%
5.0 1
 
0.5%
5.2 1
 
0.5%
6.935 1
 
0.5%
8.75 2
1.0%
9.405 1
 
0.5%
10.0 3
1.5%
10.7437 1
 
0.5%
12.6 1
 
0.5%
ValueCountFrequency (%)
926.0 1
0.5%
885.083 1
0.5%
712.5 1
0.5%
672.0 1
0.5%
600.0 2
1.0%
580.0 1
0.5%
520.0 1
0.5%
500.0 1
0.5%
444.0 1
0.5%
440.872 2
1.0%

5.5
Real number (ℝ)

ZEROS 

Distinct126
Distinct (%)63.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.705589
Minimum0
Maximum155
Zeros4
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:19:06.135746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.354
Q13.3432
median10.5
Q328.22
95-th percentile79.03
Maximum155
Range155
Interquartile range (IQR)24.8768

Descriptive statistics

Standard deviation28.060362
Coefficient of variation (CV)1.2927713
Kurtosis3.2998204
Mean21.705589
Median Absolute Deviation (MAD)8.545
Skewness1.8513927
Sum4319.4122
Variance787.38389
MonotonicityNot monotonic
2023-12-10T15:19:06.422198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11.0 11
 
5.5%
1.095 8
 
4.0%
71.55 6
 
3.0%
12.0 4
 
2.0%
2.0 4
 
2.0%
40.69 4
 
2.0%
0.0 4
 
2.0%
0.8107 4
 
2.0%
1.0 4
 
2.0%
53.6625 3
 
1.5%
Other values (116) 147
73.9%
ValueCountFrequency (%)
0.0 4
2.0%
0.0375 1
 
0.5%
0.07 1
 
0.5%
0.144 2
1.0%
0.202675 1
 
0.5%
0.3 1
 
0.5%
0.36 1
 
0.5%
0.8 1
 
0.5%
0.8107 4
2.0%
0.875363 1
 
0.5%
ValueCountFrequency (%)
155.0 1
0.5%
117.568 1
0.5%
105.05 2
1.0%
103.5 1
0.5%
90.0 2
1.0%
88.9412 1
0.5%
83.0 1
0.5%
79.3 1
0.5%
79.0 1
0.5%
78.2501 1
0.5%

0.0
Real number (ℝ)

ZEROS 

Distinct97
Distinct (%)48.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.2197939
Minimum0
Maximum43
Zeros58
Zeros (%)29.1%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:19:06.749330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.81225
Q34
95-th percentile13.12133
Maximum43
Range43
Interquartile range (IQR)4

Descriptive statistics

Standard deviation5.4534414
Coefficient of variation (CV)1.6937237
Kurtosis16.508205
Mean3.2197939
Median Absolute Deviation (MAD)0.81225
Skewness3.353078
Sum640.73899
Variance29.740023
MonotonicityNot monotonic
2023-12-10T15:19:07.028364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 58
29.1%
8.0 12
 
6.0%
0.085 8
 
4.0%
2.0 5
 
2.5%
0.25 3
 
1.5%
3.2 3
 
1.5%
0.393 3
 
1.5%
4.0 3
 
1.5%
1.5 3
 
1.5%
13.3133 2
 
1.0%
Other values (87) 99
49.7%
ValueCountFrequency (%)
0.0 58
29.1%
0.001175 1
 
0.5%
0.0047 1
 
0.5%
0.0094 1
 
0.5%
0.0214 1
 
0.5%
0.068475 1
 
0.5%
0.085 8
 
4.0%
0.0967 1
 
0.5%
0.11 2
 
1.0%
0.125 1
 
0.5%
ValueCountFrequency (%)
43.0 1
0.5%
27.0 1
0.5%
22.28 1
0.5%
20.8 1
0.5%
20.1 1
0.5%
20.0 1
0.5%
15.0 1
0.5%
14.25 1
0.5%
13.3133 2
1.0%
13.1 1
0.5%

-2.0
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0562814
Minimum-2
Maximum10.4
Zeros76
Zeros (%)38.2%
Negative24
Negative (%)12.1%
Memory size1.9 KiB
2023-12-10T15:19:07.237036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q10
median0
Q32
95-th percentile10.4
Maximum10.4
Range12.4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation3.6480448
Coefficient of variation (CV)1.774098
Kurtosis1.2386179
Mean2.0562814
Median Absolute Deviation (MAD)2
Skewness1.5920231
Sum409.2
Variance13.308231
MonotonicityNot monotonic
2023-12-10T15:19:07.416257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0.0 76
38.2%
2.0 65
32.7%
10.4 29
 
14.6%
-0.8 13
 
6.5%
-2.0 11
 
5.5%
1.0 3
 
1.5%
3.5 2
 
1.0%
ValueCountFrequency (%)
-2.0 11
 
5.5%
-0.8 13
 
6.5%
0.0 76
38.2%
1.0 3
 
1.5%
2.0 65
32.7%
3.5 2
 
1.0%
10.4 29
 
14.6%
ValueCountFrequency (%)
10.4 29
 
14.6%
3.5 2
 
1.0%
2.0 65
32.7%
1.0 3
 
1.5%
0.0 76
38.2%
-0.8 13
 
6.5%
-2.0 11
 
5.5%

6.5
Real number (ℝ)

ZEROS 

Distinct125
Distinct (%)62.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.8436022
Minimum0
Maximum70
Zeros7
Zeros (%)3.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:19:07.661525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2
Q11.001
median4.5
Q39.55
95-th percentile23.585
Maximum70
Range70
Interquartile range (IQR)8.549

Descriptive statistics

Standard deviation8.8271023
Coefficient of variation (CV)1.2898328
Kurtosis15.715213
Mean6.8436022
Median Absolute Deviation (MAD)3.5
Skewness3.2706551
Sum1361.8768
Variance77.917736
MonotonicityNot monotonic
2023-12-10T15:19:07.940307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10.0 14
 
7.0%
6.97 8
 
4.0%
0.0 7
 
3.5%
0.5 7
 
3.5%
5.76 6
 
3.0%
0.772 4
 
2.0%
1.95 4
 
2.0%
1.0 4
 
2.0%
4.32 4
 
2.0%
15.2 3
 
1.5%
Other values (115) 138
69.3%
ValueCountFrequency (%)
0.0 7
3.5%
0.16 1
 
0.5%
0.193 1
 
0.5%
0.2 2
 
1.0%
0.3 1
 
0.5%
0.31075 1
 
0.5%
0.3145 1
 
0.5%
0.4 1
 
0.5%
0.415917 1
 
0.5%
0.42 2
 
1.0%
ValueCountFrequency (%)
70.0 1
0.5%
42.6176 1
0.5%
39.96 1
0.5%
39.487 1
0.5%
35.0 1
0.5%
32.4 1
0.5%
28.75 1
0.5%
26.0001 1
0.5%
25.8 1
0.5%
25.25 1
0.5%

2.45
Real number (ℝ)

ZEROS 

Distinct114
Distinct (%)57.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.9416373
Minimum0
Maximum33.2
Zeros36
Zeros (%)18.1%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:19:08.207967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.0125
median0.3
Q32.1894
95-th percentile9.06
Maximum33.2
Range33.2
Interquartile range (IQR)2.1769

Descriptive statistics

Standard deviation3.6883346
Coefficient of variation (CV)1.8996002
Kurtosis26.821266
Mean1.9416373
Median Absolute Deviation (MAD)0.3
Skewness4.1640912
Sum386.38583
Variance13.603812
MonotonicityNot monotonic
2023-12-10T15:19:08.493706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 36
 
18.1%
1.36 8
 
4.0%
0.126 6
 
3.0%
5.0 6
 
3.0%
1.0 4
 
2.0%
0.2196 4
 
2.0%
0.01 4
 
2.0%
2.756 3
 
1.5%
0.149 3
 
1.5%
0.0945 3
 
1.5%
Other values (104) 122
61.3%
ValueCountFrequency (%)
0.0 36
18.1%
0.0005 1
 
0.5%
0.0006 1
 
0.5%
0.0044 1
 
0.5%
0.005 1
 
0.5%
0.008 1
 
0.5%
0.01 4
 
2.0%
0.0102 1
 
0.5%
0.011 1
 
0.5%
0.011025 2
 
1.0%
ValueCountFrequency (%)
33.2 1
0.5%
13.62 1
0.5%
13.5 1
0.5%
12.96 1
0.5%
12.832 1
0.5%
12.6405 1
0.5%
10.0 2
1.0%
9.996 1
0.5%
9.6 1
0.5%
9.0 1
0.5%

0.0.1
Categorical

IMBALANCE 

Distinct5
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
0.0
194 
1.126
 
2
0.936
 
1
327.5
 
1
0.5
 
1

Length

Max length5
Median length3
Mean length3.040201
Min length3

Unique

Unique3 ?
Unique (%)1.5%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 194
97.5%
1.126 2
 
1.0%
0.936 1
 
0.5%
327.5 1
 
0.5%
0.5 1
 
0.5%

Length

2023-12-10T15:19:08.748446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:19:08.953523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 194
97.5%
1.126 2
 
1.0%
0.936 1
 
0.5%
327.5 1
 
0.5%
0.5 1
 
0.5%

2.5
Real number (ℝ)

ZEROS 

Distinct72
Distinct (%)36.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.842243
Minimum0
Maximum666
Zeros106
Zeros (%)53.3%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:19:09.209593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q330
95-th percentile223
Maximum666
Range666
Interquartile range (IQR)30

Descriptive statistics

Standard deviation77.384518
Coefficient of variation (CV)2.286625
Kurtosis24.810403
Mean33.842243
Median Absolute Deviation (MAD)0
Skewness4.1745089
Sum6734.6063
Variance5988.3636
MonotonicityNot monotonic
2023-12-10T15:19:09.470233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 106
53.3%
223.0 8
 
4.0%
0.9 3
 
1.5%
4.0 3
 
1.5%
30.0 3
 
1.5%
25.2 3
 
1.5%
0.1 2
 
1.0%
115.0 2
 
1.0%
14.0 2
 
1.0%
107.9 2
 
1.0%
Other values (62) 65
32.7%
ValueCountFrequency (%)
0.0 106
53.3%
0.1 2
 
1.0%
0.4 2
 
1.0%
0.475 1
 
0.5%
0.8 1
 
0.5%
0.9 3
 
1.5%
1.9 1
 
0.5%
3.2 1
 
0.5%
3.3 1
 
0.5%
3.745 1
 
0.5%
ValueCountFrequency (%)
666.0 1
 
0.5%
396.4 1
 
0.5%
225.0 1
 
0.5%
223.0 8
4.0%
198.2 2
 
1.0%
198.1 1
 
0.5%
184.8 1
 
0.5%
132.0 1
 
0.5%
124.0 1
 
0.5%
118.0 1
 
0.5%

205.0
Real number (ℝ)

ZEROS 

Distinct132
Distinct (%)66.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean295.54492
Minimum0
Maximum2664
Zeros7
Zeros (%)3.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:19:09.805720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q19
median116
Q3344.8275
95-th percentile1183
Maximum2664
Range2664
Interquartile range (IQR)335.8275

Descriptive statistics

Standard deviation438.76953
Coefficient of variation (CV)1.484612
Kurtosis6.7552712
Mean295.54492
Median Absolute Deviation (MAD)111.2
Skewness2.4006471
Sum58813.44
Variance192518.7
MonotonicityNot monotonic
2023-12-10T15:19:10.054904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
160.0 11
 
5.5%
70.0 8
 
4.0%
3.0 7
 
3.5%
0.0 7
 
3.5%
7.2 6
 
3.0%
7.0 4
 
2.0%
227.622 4
 
2.0%
92.8 3
 
1.5%
5.4 3
 
1.5%
1964.0 3
 
1.5%
Other values (122) 143
71.9%
ValueCountFrequency (%)
0.0 7
3.5%
0.5 1
 
0.5%
0.857143 1
 
0.5%
1.0 2
 
1.0%
1.14286 2
 
1.0%
1.4 1
 
0.5%
1.8 1
 
0.5%
2.0 1
 
0.5%
2.5 2
 
1.0%
3.0 7
3.5%
ValueCountFrequency (%)
2664.0 1
 
0.5%
1964.0 3
1.5%
1790.0 1
 
0.5%
1350.0 1
 
0.5%
1315.0 2
1.0%
1300.48 1
 
0.5%
1210.0 1
 
0.5%
1180.0 2
1.0%
1134.0 2
1.0%
1128.0 1
 
0.5%

0.0.2
Real number (ℝ)

ZEROS 

Distinct71
Distinct (%)35.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.9574592
Minimum0
Maximum320
Zeros68
Zeros (%)34.2%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:19:10.301352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.8
Q32.4
95-th percentile8.4
Maximum320
Range320
Interquartile range (IQR)2.4

Descriptive statistics

Standard deviation31.969834
Coefficient of variation (CV)6.4488345
Kurtosis95.140003
Mean4.9574592
Median Absolute Deviation (MAD)0.8
Skewness9.7647136
Sum986.53438
Variance1022.0703
MonotonicityNot monotonic
2023-12-10T15:19:10.527771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 68
34.2%
2.4 13
 
6.5%
2.3 7
 
3.5%
0.7 6
 
3.0%
0.9 6
 
3.0%
2.2 4
 
2.0%
4.9 4
 
2.0%
2.7 3
 
1.5%
8.4 3
 
1.5%
1.05 3
 
1.5%
Other values (61) 82
41.2%
ValueCountFrequency (%)
0.0 68
34.2%
0.175 1
 
0.5%
0.2 3
 
1.5%
0.203 1
 
0.5%
0.218 1
 
0.5%
0.225 1
 
0.5%
0.3055 1
 
0.5%
0.35 1
 
0.5%
0.4 1
 
0.5%
0.41 1
 
0.5%
ValueCountFrequency (%)
320.0 2
1.0%
28.0 1
 
0.5%
19.8 1
 
0.5%
12.3529 1
 
0.5%
9.6 1
 
0.5%
9.42309 1
 
0.5%
8.7 1
 
0.5%
8.4 3
1.5%
7.2 1
 
0.5%
5.4 1
 
0.5%

0.0.3
Real number (ℝ)

ZEROS 

Distinct94
Distinct (%)47.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.65215
Minimum0
Maximum246
Zeros47
Zeros (%)23.6%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:19:10.765728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.620835
median10.1525
Q326.6605
95-th percentile121.5
Maximum246
Range246
Interquartile range (IQR)25.039665

Descriptive statistics

Standard deviation42.783471
Coefficient of variation (CV)1.4932028
Kurtosis4.8807578
Mean28.65215
Median Absolute Deviation (MAD)10.1525
Skewness2.1757527
Sum5701.7778
Variance1830.4254
MonotonicityNot monotonic
2023-12-10T15:19:11.011275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 47
23.6%
105.0 10
 
5.0%
26.0 8
 
4.0%
6.3 6
 
3.0%
7.17 4
 
2.0%
4.0 4
 
2.0%
20.8 4
 
2.0%
25.6 3
 
1.5%
18.0 3
 
1.5%
14.5 3
 
1.5%
Other values (84) 107
53.8%
ValueCountFrequency (%)
0.0 47
23.6%
1.201 1
 
0.5%
1.5 1
 
0.5%
1.575 1
 
0.5%
1.66667 1
 
0.5%
1.7925 1
 
0.5%
2.52 2
 
1.0%
3.0 1
 
0.5%
3.15 2
 
1.0%
3.2 2
 
1.0%
ValueCountFrequency (%)
246.0 1
 
0.5%
180.0 1
 
0.5%
178.0 1
 
0.5%
152.0 3
 
1.5%
141.829 1
 
0.5%
137.5 1
 
0.5%
135.0 2
 
1.0%
120.0 1
 
0.5%
112.0 1
 
0.5%
105.0 10
5.0%

0.0.4
Real number (ℝ)

ZEROS 

Distinct77
Distinct (%)38.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.641154
Minimum0
Maximum207.153
Zeros62
Zeros (%)31.2%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:19:11.273412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median11
Q336.5
95-th percentile150
Maximum207.153
Range207.153
Interquartile range (IQR)36.5

Descriptive statistics

Standard deviation42.707966
Coefficient of variation (CV)1.4911398
Kurtosis3.7888702
Mean28.641154
Median Absolute Deviation (MAD)11
Skewness2.0339288
Sum5699.5897
Variance1823.9703
MonotonicityNot monotonic
2023-12-10T15:19:11.513671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 62
31.2%
150.0 10
 
5.0%
69.5 8
 
4.0%
11.0 7
 
3.5%
3.0 5
 
2.5%
16.0 4
 
2.0%
31.0 4
 
2.0%
60.0 4
 
2.0%
8.25 3
 
1.5%
30.5 3
 
1.5%
Other values (67) 89
44.7%
ValueCountFrequency (%)
0.0 62
31.2%
0.5 1
 
0.5%
1.0 3
 
1.5%
1.65 1
 
0.5%
2.0 1
 
0.5%
2.15 1
 
0.5%
2.4 1
 
0.5%
2.75 1
 
0.5%
3.0 5
 
2.5%
3.33334 1
 
0.5%
ValueCountFrequency (%)
207.153 1
 
0.5%
192.4 1
 
0.5%
150.0 10
5.0%
147.0 1
 
0.5%
115.385 1
 
0.5%
101.0 2
 
1.0%
99.0 1
 
0.5%
88.0 1
 
0.5%
86.25 1
 
0.5%
82.0 1
 
0.5%

0.0.5
Real number (ℝ)

ZEROS 

Distinct86
Distinct (%)43.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0174057
Minimum0
Maximum54.6
Zeros46
Zeros (%)23.1%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:19:11.727489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.075
median0.500938
Q31.3
95-th percentile9.6
Maximum54.6
Range54.6
Interquartile range (IQR)1.225

Descriptive statistics

Standard deviation5.9446231
Coefficient of variation (CV)2.9466672
Kurtosis48.63517
Mean2.0174057
Median Absolute Deviation (MAD)0.500938
Skewness6.4472763
Sum401.46373
Variance35.338544
MonotonicityNot monotonic
2023-12-10T15:19:11.957169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 46
23.1%
3.75 10
 
5.0%
0.885 8
 
4.0%
1.17 6
 
3.0%
1.3 6
 
3.0%
0.8 5
 
2.5%
0.4 4
 
2.0%
0.3707 4
 
2.0%
0.5 4
 
2.0%
0.3 3
 
1.5%
Other values (76) 103
51.8%
ValueCountFrequency (%)
0.0 46
23.1%
0.036 2
 
1.0%
0.06 1
 
0.5%
0.075 2
 
1.0%
0.07855 1
 
0.5%
0.08 1
 
0.5%
0.083 1
 
0.5%
0.092675 1
 
0.5%
0.1 3
 
1.5%
0.10375 2
 
1.0%
ValueCountFrequency (%)
54.6 1
 
0.5%
47.6 1
 
0.5%
23.8 1
 
0.5%
16.8 2
1.0%
15.2 3
1.5%
12.96 1
 
0.5%
10.5 1
 
0.5%
9.5 1
 
0.5%
5.325 1
 
0.5%
4.24162 1
 
0.5%

0.0.6
Real number (ℝ)

ZEROS 

Distinct61
Distinct (%)30.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean44.359265
Minimum0
Maximum536.001
Zeros87
Zeros (%)43.7%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:19:12.185930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q336
95-th percentile225
Maximum536.001
Range536.001
Interquartile range (IQR)36

Descriptive statistics

Standard deviation89.132984
Coefficient of variation (CV)2.0093431
Kurtosis10.138897
Mean44.359265
Median Absolute Deviation (MAD)1
Skewness2.9278907
Sum8827.4937
Variance7944.6889
MonotonicityNot monotonic
2023-12-10T15:19:12.421383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 87
43.7%
1.0 10
 
5.0%
20.0 10
 
5.0%
225.0 10
 
5.0%
22.0 5
 
2.5%
44.0 4
 
2.0%
75.0 4
 
2.0%
9.0 3
 
1.5%
19.0 3
 
1.5%
241.0 3
 
1.5%
Other values (51) 60
30.2%
ValueCountFrequency (%)
0.0 87
43.7%
0.25 1
 
0.5%
0.4 1
 
0.5%
0.5 2
 
1.0%
0.75 3
 
1.5%
0.9 1
 
0.5%
1.0 10
 
5.0%
1.2336 2
 
1.0%
2.0 1
 
0.5%
3.5 1
 
0.5%
ValueCountFrequency (%)
536.001 2
 
1.0%
402.0 1
 
0.5%
306.0 1
 
0.5%
290.0 1
 
0.5%
241.0 3
 
1.5%
236.0 1
 
0.5%
225.0 10
5.0%
203.25 1
 
0.5%
174.0 1
 
0.5%
167.0 1
 
0.5%

45.0
Real number (ℝ)

Distinct17
Distinct (%)8.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean57.31206
Minimum44
Maximum97
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:19:13.100718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum44
5-th percentile44
Q155
median58
Q360
95-th percentile70
Maximum97
Range53
Interquartile range (IQR)5

Descriptive statistics

Standard deviation9.257978
Coefficient of variation (CV)0.1615363
Kurtosis4.4029785
Mean57.31206
Median Absolute Deviation (MAD)2
Skewness1.1779801
Sum11405.1
Variance85.710157
MonotonicityNot monotonic
2023-12-10T15:19:13.274533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
58.0 65
32.7%
70.0 18
 
9.0%
60.5 18
 
9.0%
60.0 18
 
9.0%
44.0 17
 
8.5%
59.5 16
 
8.0%
45.0 11
 
5.5%
55.0 9
 
4.5%
44.5 7
 
3.5%
44.3 4
 
2.0%
Other values (7) 16
 
8.0%
ValueCountFrequency (%)
44.0 17
 
8.5%
44.3 4
 
2.0%
44.5 7
 
3.5%
45.0 11
 
5.5%
45.1 1
 
0.5%
47.0 4
 
2.0%
47.5 1
 
0.5%
55.0 9
 
4.5%
56.0 4
 
2.0%
58.0 65
32.7%
ValueCountFrequency (%)
97.0 3
 
1.5%
86.4 2
 
1.0%
70.0 18
 
9.0%
60.5 18
 
9.0%
60.0 18
 
9.0%
59.5 16
 
8.0%
59.0 1
 
0.5%
58.0 65
32.7%
56.0 4
 
2.0%
55.0 9
 
4.5%

0.0.7
Real number (ℝ)

ZEROS 

Distinct68
Distinct (%)34.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.073181
Minimum0
Maximum78.1
Zeros95
Zeros (%)47.7%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:19:13.517599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.336
Q37.2681
95-th percentile30
Maximum78.1
Range78.1
Interquartile range (IQR)7.2681

Descriptive statistics

Standard deviation11.42122
Coefficient of variation (CV)1.8805993
Kurtosis12.649425
Mean6.073181
Median Absolute Deviation (MAD)0.336
Skewness3.1053495
Sum1208.563
Variance130.44427
MonotonicityNot monotonic
2023-12-10T15:19:13.923254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 95
47.7%
30.0 10
 
5.0%
1.86 4
 
2.0%
8.0 4
 
2.0%
25.0 4
 
2.0%
13.5 3
 
1.5%
10.0 3
 
1.5%
2.8 3
 
1.5%
0.336 3
 
1.5%
6.2852 3
 
1.5%
Other values (58) 67
33.7%
ValueCountFrequency (%)
0.0 95
47.7%
0.001185 1
 
0.5%
0.163 1
 
0.5%
0.336 3
 
1.5%
0.465 1
 
0.5%
0.558 1
 
0.5%
0.7 1
 
0.5%
0.8159 1
 
0.5%
0.9078 1
 
0.5%
1.07995 1
 
0.5%
ValueCountFrequency (%)
78.1 1
 
0.5%
69.0 1
 
0.5%
48.077 1
 
0.5%
35.9066 1
 
0.5%
30.0 10
5.0%
29.06 2
 
1.0%
27.0 1
 
0.5%
25.0 4
 
2.0%
21.0 1
 
0.5%
17.1429 2
 
1.0%

0.0.8
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
0
197 
1
 
2

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 (%)
0 197
99.0%
1 2
 
1.0%

Length

2023-12-10T15:19:14.150442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:19:14.404924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 197
99.0%
1 2
 
1.0%

0.0.9
Real number (ℝ)

ZEROS 

Distinct102
Distinct (%)51.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean41.735117
Minimum0
Maximum228
Zeros58
Zeros (%)29.1%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:19:14.608507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median29.34
Q369.08675
95-th percentile149.1146
Maximum228
Range228
Interquartile range (IQR)69.08675

Descriptive statistics

Standard deviation48.44886
Coefficient of variation (CV)1.1608656
Kurtosis1.519229
Mean41.735117
Median Absolute Deviation (MAD)29.34
Skewness1.3581434
Sum8305.2882
Variance2347.292
MonotonicityNot monotonic
2023-12-10T15:19:14.895240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 58
29.1%
37.5 8
 
4.0%
12.06 6
 
3.0%
85.8 4
 
2.0%
0.2318 4
 
2.0%
33.605 3
 
1.5%
105.508 3
 
1.5%
9.045 3
 
1.5%
11.945 3
 
1.5%
37.12 3
 
1.5%
Other values (92) 104
52.3%
ValueCountFrequency (%)
0.0 58
29.1%
0.05795 1
 
0.5%
0.2318 4
 
2.0%
2.592 1
 
0.5%
3.015 1
 
0.5%
5.0696 1
 
0.5%
5.184 1
 
0.5%
6.03 2
 
1.0%
6.3315 1
 
0.5%
9.045 3
 
1.5%
ValueCountFrequency (%)
228.0 1
0.5%
199.364 1
0.5%
180.525 2
1.0%
174.8 1
0.5%
170.4 1
0.5%
165.0 1
0.5%
161.2 1
0.5%
156.959 1
0.5%
149.246 1
0.5%
149.1 1
0.5%

0.0.10
Real number (ℝ)

ZEROS 

Distinct102
Distinct (%)51.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.7018872
Minimum0
Maximum64.9624
Zeros55
Zeros (%)27.6%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:19:15.144352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.4875
Q31.2286
95-th percentile4.239475
Maximum64.9624
Range64.9624
Interquartile range (IQR)1.2286

Descriptive statistics

Standard deviation6.8566801
Coefficient of variation (CV)4.0288686
Kurtosis74.301235
Mean1.7018872
Median Absolute Deviation (MAD)0.4875
Skewness8.4390738
Sum338.67556
Variance47.014062
MonotonicityNot monotonic
2023-12-10T15:19:15.472655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 55
27.6%
0.45 8
 
4.0%
0.36 6
 
3.0%
1.56 4
 
2.0%
0.75905 4
 
2.0%
0.7605 3
 
1.5%
0.27 3
 
1.5%
2.3407 3
 
1.5%
0.21 3
 
1.5%
0.48 3
 
1.5%
Other values (92) 107
53.8%
ValueCountFrequency (%)
0.0 55
27.6%
0.09 1
 
0.5%
0.15 1
 
0.5%
0.168 1
 
0.5%
0.18 2
 
1.0%
0.189763 1
 
0.5%
0.19 2
 
1.0%
0.195 1
 
0.5%
0.21 3
 
1.5%
0.216 2
 
1.0%
ValueCountFrequency (%)
64.9624 2
1.0%
31.68 1
0.5%
6.66 1
0.5%
5.9455 1
0.5%
5.2845 1
0.5%
4.83085 1
0.5%
4.80445 2
1.0%
4.7725 1
0.5%
4.18025 1
0.5%
3.1127 1
0.5%

0.0.11
Real number (ℝ)

ZEROS 

Distinct85
Distinct (%)42.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2147.1502
Minimum0
Maximum38751.5
Zeros88
Zeros (%)44.2%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:19:15.729732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median122.97
Q32126.2
95-th percentile11687.23
Maximum38751.5
Range38751.5
Interquartile range (IQR)2126.2

Descriptive statistics

Standard deviation4756.9043
Coefficient of variation (CV)2.2154502
Kurtosis21.108979
Mean2147.1502
Median Absolute Deviation (MAD)122.97
Skewness3.9717272
Sum427282.89
Variance22628139
MonotonicityNot monotonic
2023-12-10T15:19:15.990750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 88
44.2%
6083.5 8
 
4.0%
0.41 4
 
2.0%
611.65 3
 
1.5%
2126.2 3
 
1.5%
3046.41 3
 
1.5%
428.0 2
 
1.0%
4549.5 2
 
1.0%
1.4385 2
 
1.0%
4147.62 2
 
1.0%
Other values (75) 82
41.2%
ValueCountFrequency (%)
0.0 88
44.2%
0.1025 1
 
0.5%
0.41 4
 
2.0%
0.5895 1
 
0.5%
1.4385 2
 
1.0%
64.3125 1
 
0.5%
109.168 1
 
0.5%
109.295 1
 
0.5%
122.97 1
 
0.5%
137.93 1
 
0.5%
ValueCountFrequency (%)
38751.5 1
0.5%
23022.6 1
0.5%
20720.3 1
0.5%
19093.5 1
0.5%
18324.0 1
0.5%
15673.6 1
0.5%
14370.1 1
0.5%
13506.4 1
0.5%
12511.0 1
0.5%
11889.1 1
0.5%

0.0.12
Real number (ℝ)

ZEROS 

Distinct82
Distinct (%)41.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1095.1815
Minimum0
Maximum15980.8
Zeros91
Zeros (%)45.7%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:19:16.292947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median50.425
Q3950.45
95-th percentile6266.317
Maximum15980.8
Range15980.8
Interquartile range (IQR)950.45

Descriptive statistics

Standard deviation2399.7304
Coefficient of variation (CV)2.1911714
Kurtosis12.535844
Mean1095.1815
Median Absolute Deviation (MAD)50.425
Skewness3.288592
Sum217941.12
Variance5758706.2
MonotonicityNot monotonic
2023-12-10T15:19:16.594344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 91
45.7%
2911.5 8
 
4.0%
0.14 4
 
2.0%
252.2 3
 
1.5%
950.45 3
 
1.5%
1342.99 3
 
1.5%
2071.5 2
 
1.0%
6810.4 2
 
1.0%
2026.98 2
 
1.0%
159.0 2
 
1.0%
Other values (72) 79
39.7%
ValueCountFrequency (%)
0.0 91
45.7%
0.035 1
 
0.5%
0.14 4
 
2.0%
26.8975 1
 
0.5%
42.4 1
 
0.5%
47.8483 1
 
0.5%
50.425 1
 
0.5%
53.0 2
 
1.0%
55.69 1
 
0.5%
62.36 1
 
0.5%
ValueCountFrequency (%)
15980.8 1
0.5%
12177.9 1
0.5%
11539.2 1
0.5%
10385.2 1
0.5%
9433.8 1
0.5%
8977.2 1
0.5%
6810.4 2
1.0%
6580.99 1
0.5%
6286.0 1
0.5%
6264.13 1
0.5%

c5d6a359c840456cae2a2adca6c3761d.png
Text

MISSING 

Distinct93
Distinct (%)51.4%
Missing18
Missing (%)9.0%
Memory size1.7 KiB
2023-12-10T15:19:17.084613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length36
Mean length35.508287
Min length6

Characters and Unicode

Total characters6427
Distinct characters20
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique52 ?
Unique (%)28.7%

Sample

1st row7e983ef0d3d145558e20be1735cca7ae.png
2nd row57a6e410ebc143f285122e28387bddf2.png
3rd rowcaad270f4ab647e680c58b53e814513c.png
4th row92508650bd17477b91eb52f0cda0d86c.png
5th row92508650bd17477b91eb52f0cda0d86c.png
ValueCountFrequency (%)
32cbcf2b55594e119cbb2ac9509bbbe2.png 8
 
4.4%
5146369c635c447f9e18e20fc5992790.png 6
 
3.3%
eeaf9862bfb04d9a971bd829de5048d5.png 6
 
3.3%
0b01991432a24a7789b6d407c34c246e.png 6
 
3.3%
671025e61f1340f1878e9ad514c45cca.png 5
 
2.8%
e033df8d0e5a4078a8aed9451145739b.png 5
 
2.8%
afd09fbf20f04fcb8e02ae241af214aa.png 5
 
2.8%
1f275eb635ef4963ab00525a284f4090.png 5
 
2.8%
4c13db60e26741ebb7312cb598474d81.png 4
 
2.2%
c5f644ca8c2d42b58ead488ae3f10a86.png 4
 
2.2%
Other values (83) 127
70.2%
2023-12-10T15:19:17.775077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 482
 
7.5%
a 403
 
6.3%
9 402
 
6.3%
2 391
 
6.1%
b 381
 
5.9%
f 366
 
5.7%
0 350
 
5.4%
e 349
 
5.4%
6 346
 
5.4%
1 342
 
5.3%
Other values (10) 2615
40.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3565
55.5%
Lowercase Letter 2681
41.7%
Other Punctuation 181
 
2.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 482
13.5%
9 402
11.3%
2 391
11.0%
0 350
9.8%
6 346
9.7%
1 342
9.6%
8 336
9.4%
5 333
9.3%
3 296
8.3%
7 287
8.1%
Lowercase Letter
ValueCountFrequency (%)
a 403
15.0%
b 381
14.2%
f 366
13.7%
e 349
13.0%
c 327
12.2%
d 321
12.0%
n 178
6.6%
g 178
6.6%
p 178
6.6%
Other Punctuation
ValueCountFrequency (%)
. 181
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3746
58.3%
Latin 2681
41.7%

Most frequent character per script

Common
ValueCountFrequency (%)
4 482
12.9%
9 402
10.7%
2 391
10.4%
0 350
9.3%
6 346
9.2%
1 342
9.1%
8 336
9.0%
5 333
8.9%
3 296
7.9%
7 287
7.7%
Latin
ValueCountFrequency (%)
a 403
15.0%
b 381
14.2%
f 366
13.7%
e 349
13.0%
c 327
12.2%
d 321
12.0%
n 178
6.6%
g 178
6.6%
p 178
6.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6427
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 482
 
7.5%
a 403
 
6.3%
9 402
 
6.3%
2 391
 
6.1%
b 381
 
5.9%
f 366
 
5.7%
0 350
 
5.4%
e 349
 
5.4%
6 346
 
5.4%
1 342
 
5.3%
Other values (10) 2615
40.7%

11
Real number (ℝ)

Distinct31
Distinct (%)15.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.733668
Minimum1
Maximum72
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:19:17.987966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median23
Q350
95-th percentile55
Maximum72
Range71
Interquartile range (IQR)47

Descriptive statistics

Standard deviation22.166369
Coefficient of variation (CV)0.86137617
Kurtosis-1.5774286
Mean25.733668
Median Absolute Deviation (MAD)21
Skewness0.22407026
Sum5121
Variance491.3479
MonotonicityNot monotonic
2023-12-10T15:19:18.194808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
1 22
 
11.1%
2 19
 
9.5%
3 12
 
6.0%
4 11
 
5.5%
52 10
 
5.0%
48 9
 
4.5%
34 9
 
4.5%
55 8
 
4.0%
35 8
 
4.0%
51 8
 
4.0%
Other values (21) 83
41.7%
ValueCountFrequency (%)
1 22
11.1%
2 19
9.5%
3 12
6.0%
4 11
5.5%
5 5
 
2.5%
6 4
 
2.0%
7 5
 
2.5%
9 3
 
1.5%
10 2
 
1.0%
11 8
 
4.0%
ValueCountFrequency (%)
72 3
 
1.5%
56 6
3.0%
55 8
4.0%
54 5
2.5%
53 5
2.5%
52 10
5.0%
51 8
4.0%
50 6
3.0%
49 7
3.5%
48 9
4.5%

1
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
1
181 
0
 
18

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 181
91.0%
0 18
 
9.0%

Length

2023-12-10T15:19:18.414015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:19:18.583654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 181
91.0%
0 18
 
9.0%

[11:12]
Categorical

Distinct12
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
[31:32]
65 
[15:16]
29 
[17:18]
19 
[13:14]
18 
[42:43]
18 
Other values (7)
50 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique1 ?
Unique (%)0.5%

Sample

1st row[11:12]
2nd row[11:12]
3rd row[11:12]
4th row[11:12]
5th row[11:12]

Common Values

ValueCountFrequency (%)
[31:32] 65
32.7%
[15:16] 29
14.6%
[17:18] 19
 
9.5%
[13:14] 18
 
9.0%
[42:43] 18
 
9.0%
[45:46] 16
 
8.0%
[18:19] 13
 
6.5%
[11:12] 11
 
5.5%
[44:45] 4
 
2.0%
[41:42] 3
 
1.5%
Other values (2) 3
 
1.5%

Length

2023-12-10T15:19:18.783198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
31:32 65
32.7%
15:16 29
14.6%
17:18 19
 
9.5%
13:14 18
 
9.0%
42:43 18
 
9.0%
45:46 16
 
8.0%
18:19 13
 
6.5%
11:12 11
 
5.5%
44:45 4
 
2.0%
41:42 3
 
1.5%
Other values (2) 3
 
1.5%

[148:151]
Categorical

Distinct6
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
[160:163]
120 
[156:159]
49 
[176:179]
16 
[148:151]
 
11
[172:175]
 
2

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique1 ?
Unique (%)0.5%

Sample

1st row[148:151]
2nd row[148:151]
3rd row[148:151]
4th row[148:151]
5th row[148:151]

Common Values

ValueCountFrequency (%)
[160:163] 120
60.3%
[156:159] 49
24.6%
[176:179] 16
 
8.0%
[148:151] 11
 
5.5%
[172:175] 2
 
1.0%
[152:155] 1
 
0.5%

Length

2023-12-10T15:19:18.984689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:19:19.169816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
160:163 120
60.3%
156:159 49
24.6%
176:179 16
 
8.0%
148:151 11
 
5.5%
172:175 2
 
1.0%
152:155 1
 
0.5%

46.8
Real number (ℝ)

Distinct13
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean56.444724
Minimum37.6
Maximum97
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:19:19.345644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.6
5-th percentile37.6
Q155.6
median58
Q360
95-th percentile70
Maximum97
Range59.4
Interquartile range (IQR)4.4

Descriptive statistics

Standard deviation10.627949
Coefficient of variation (CV)0.1882895
Kurtosis2.534475
Mean56.444724
Median Absolute Deviation (MAD)2
Skewness0.34626142
Sum11232.5
Variance112.95329
MonotonicityNot monotonic
2023-12-10T15:19:19.521196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
58.0 65
32.7%
37.6 29
14.6%
70.0 18
 
9.0%
60.5 18
 
9.0%
60.0 18
 
9.0%
59.5 16
 
8.0%
55.6 13
 
6.5%
46.8 11
 
5.5%
47.0 4
 
2.0%
97.0 3
 
1.5%
Other values (3) 4
 
2.0%
ValueCountFrequency (%)
37.6 29
14.6%
46.8 11
 
5.5%
47.0 4
 
2.0%
47.5 1
 
0.5%
55.6 13
 
6.5%
58.0 65
32.7%
59.0 1
 
0.5%
59.5 16
 
8.0%
60.0 18
 
9.0%
60.5 18
 
9.0%
ValueCountFrequency (%)
97.0 3
 
1.5%
84.0 2
 
1.0%
70.0 18
 
9.0%
60.5 18
 
9.0%
60.0 18
 
9.0%
59.5 16
 
8.0%
59.0 1
 
0.5%
58.0 65
32.7%
55.6 13
 
6.5%
47.5 1
 
0.5%

1.1
Categorical

Distinct3
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
1
149 
2
34 
0
16 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 149
74.9%
2 34
 
17.1%
0 16
 
8.0%

Length

2023-12-10T15:19:19.708237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:19:19.873082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 149
74.9%
2 34
 
17.1%
0 16
 
8.0%

Sample

4515997d42428b6c2e982bd9a612e22bba86e48e946264bc89afeaad621974f1cab712c02020-01-17 09:14:280.5ko치킨너겟1인분50.0105.05.50.0-2.06.52.450.0.12.5205.00.0.20.0.30.0.40.0.50.0.645.00.0.70.0.80.0.90.0.100.0.110.0.12c5d6a359c840456cae2a2adca6c3761d.png111[11:12][148:151]46.81.1
04515998d42428b6c2e982bd9a612e22bba86e48e946264bc89afeaad621974f1cab712c02020-01-17 09:15:001.0ko쌀밥1공기210.0326.771.550.0-2.05.760.1260.00.07.20.96.311.01.171.045.00.0012.060.360.00.07e983ef0d3d145558e20be1735cca7ae.png111[11:12][148:151]46.81
14516000d42428b6c2e982bd9a612e22bba86e48e946264bc89afeaad621974f1cab712c12020-01-17 14:21:471.0ko삼각김밥1개110.0174.032.04.0-2.04.00.50.00.0347.00.00.00.00.00.045.00.000.00.00.00.057a6e410ebc143f285122e28387bddf2.png111[11:12][148:151]46.81
24516001d42428b6c2e982bd9a612e22bba86e48e946264bc89afeaad621974f1cab712c12020-01-17 14:26:091.0ko델몬트 드링크팩 사과 190ml1팩60.015.015.015.0-2.00.00.00.00.025.00.00.00.00.00.045.00.000.00.00.00.0caad270f4ab647e680c58b53e814513c.png111[11:12][148:151]46.81
34516002d42428b6c2e982bd9a612e22bba86e48e946264bc89afeaad621974f1cab712c52020-01-17 14:28:351.0ko요플레 오리지널 딸기1컵85.085.013.011.0-2.03.01.20.010.050.00.00.00.00.00.045.00.000.00.00.00.092508650bd17477b91eb52f0cda0d86c.png111[11:12][148:151]46.81
44516003d42428b6c2e982bd9a612e22bba86e48e946264bc89afeaad621974f1cab712c52020-01-17 14:28:350.75ko에이스1회제공량18.097.511.251.5-2.01.52.7750.00.090.00.00.00.00.00.045.00.000.00.00.00.092508650bd17477b91eb52f0cda0d86c.png111[11:12][148:151]46.81
54516004d42428b6c2e982bd9a612e22bba86e48e946264bc89afeaad621974f1cab712c52020-01-17 14:28:350.25ko에이스1회제공량6.032.53.750.5-2.00.50.9250.00.030.00.00.00.00.00.045.00.000.00.00.00.092508650bd17477b91eb52f0cda0d86c.png111[11:12][148:151]46.81
64516005d42428b6c2e982bd9a612e22bba86e48e946264bc89afeaad621974f1cab712c62020-01-17 21:07:040.75ko에이스1회제공량18.097.511.251.5-2.01.52.7750.00.090.00.00.00.00.00.045.00.000.00.00.00.0b5a9acef8095403ea9f656961e6fa444.png111[11:12][148:151]46.81
74516006d42428b6c2e982bd9a612e22bba86e48e946264bc89afeaad621974f1cab712c62020-01-17 21:07:270.25ko투게더1개225.0225.02.752.5-2.00.50.8750.05.011.250.00.00.00.00.045.00.000.00.00.00.0b88a873d4d464bd7aea481c3de454619.png111[11:12][148:151]46.81
84516007d42428b6c2e982bd9a612e22bba86e48e946264bc89afeaad621974f1cab712c02020-01-18 12:04:231.0ko바나나우유1컵200.0154.022.420.0-2.05.263.30.017.2112.00.0178.020.00.846.045.010.00161.21.245444.02428.0db77613be76543bcaa670bf7a09de812.png121[11:12][148:151]46.81
94516008d42428b6c2e982bd9a612e22bba86e48e946264bc89afeaad621974f1cab712c12020-01-18 13:06:471.0ko미국식핫도그1개120.0310.04.80.0-2.012.09.60.084.01210.00.00.00.00.00.045.00.000.00.00.00.0c8526c02ee254e73991c650b5152a769.png121[11:12][148:151]46.81
4515997d42428b6c2e982bd9a612e22bba86e48e946264bc89afeaad621974f1cab712c02020-01-17 09:14:280.5ko치킨너겟1인분50.0105.05.50.0-2.06.52.450.0.12.5205.00.0.20.0.30.0.40.0.50.0.645.00.0.70.0.80.0.90.0.100.0.110.0.12c5d6a359c840456cae2a2adca6c3761d.png111[11:12][148:151]46.81.1
189441772278bd0e5083fc54be1b3e5f52273f0001da0751720bf564af8b15685630bfc4f012020-01-14 12:10:192.0ko미역줄기볶음1접시76.072.223.71090.02142.01.55750.950.00.0984.40.21886.0816.00.417844.058.08.5341058.9045.2845327.69154.58afd09fbf20f04fcb8e02ae241af214aa.png561[31:32][160:163]58.01
1904573919b155669b8a598bed223734c07ea8c9dc4eb88809225a63c60e54708db836b6ea22020-01-19 09:32:521.0ko채소샐러드1접시85.072.05.61751.69350.00.9490.7850.04.0124.62.222.4540.00.6118.060.05.338070.430.7470.65150.0<NA>21[42:43][160:163]60.01
191441772378bd0e5083fc54be1b3e5f52273f0001da0751720bf564af8b15685630bfc4f012020-01-14 12:10:192.0ko굴비구이1접시(소1마리)150.0295.20.360.02.039.960.00.00.0370.80.061.20.012.960.058.00.0029.346.660.00.0afd09fbf20f04fcb8e02ae241af214aa.png561[31:32][160:163]58.01
1924573920b155669b8a598bed223734c07ea8c9dc4eb88809225a63c60e54708db836b6ea02020-01-20 09:34:100.25ko고구마(구운것)1개32.540.259.52250.00.00.50.00.00.05.01.157.2515.250.250.060.06.75016.80250.38025305.825126.1<NA>31[42:43][160:163]60.01
193441772478bd0e5083fc54be1b3e5f52273f0001da0751720bf564af8b15685630bfc4f012020-01-14 12:10:190.75ko쌀밥1공기157.5245.02553.66250.02.04.320.09450.00.05.40.6754.7258.250.87750.7558.00.009.0450.270.00.0afd09fbf20f04fcb8e02ae241af214aa.png561[31:32][160:163]58.01
194441772578bd0e5083fc54be1b3e5f52273f0001da0751720bf564af8b15685630bfc4f012020-01-14 12:10:190.25ko제육볶음1접시25.047.752.59251.7452.03.30250.83250.010.7569.250.7259.258.00.47572.558.01.07995021.07110.58542972.281489.09afd09fbf20f04fcb8e02ae241af214aa.png561[31:32][160:163]58.01
1954573921b155669b8a598bed223734c07ea8c9dc4eb88809225a63c60e54708db836b6ea02020-01-20 09:34:101.0ko우유1컵200.0122.010.00.00.05.64.340.018.080.02.8180.04.00.1104.060.01.580174.81.346066.02762.0<NA>31[42:43][160:163]60.01
1964451732ff904f5e230b9b2ec5382794c83df322433f2dd817e6c12ccc3126b951fda2a412020-01-24 12:16:231.0ko곶감1개34.084.022.410.118410.40.65620.01020.00.02.02.8910.015.30.210817.044.00.9078013.3960.3876425.68202.9894850d595c744e20aee539a6fdf2c1e3.png351[15:16][156:159]37.61
1974573922b155669b8a598bed223734c07ea8c9dc4eb88809225a63c60e54708db836b6ea02020-01-20 09:34:101.0ko삶은계란1개50.071.51.0950.0850.06.971.360.0223.070.00.026.069.50.88520.060.00.0037.50.456083.52911.5<NA>31[42:43][160:163]60.01
1984451733ff904f5e230b9b2ec5382794c83df322433f2dd817e6c12ccc3126b951fda2a412020-01-26 12:12:080.5ko배1개250.085.022.59.752510.40.62250.0650.00.06.02.9054.012.50.103750.045.18.50180.5250.64325539.599.693a520de224c493fbdcf8101bbb0d225.png371[15:16][156:159]37.61