Overview

Dataset statistics

Number of variables37
Number of observations199
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory63.1 KiB
Average record size in memory324.7 B

Variable types

Numeric21
Categorical13
DateTime1
Text2

Alerts

ko has constant value ""Constant
2 is highly imbalanced (56.2%)Imbalance
9287 has unique valuesUnique
0.44 has 5 (2.5%) zerosZeros
0.0 has 67 (33.7%) zerosZeros
0.14 has 2 (1.0%) zerosZeros
0.0.1 has 37 (18.6%) zerosZeros
0.0.2 has 193 (97.0%) zerosZeros
0.225 has 95 (47.7%) zerosZeros
23.2 has 4 (2.0%) zerosZeros
0.0.3 has 63 (31.7%) zerosZeros
6.4 has 23 (11.6%) zerosZeros
4.25 has 32 (16.1%) zerosZeros
0.08 has 22 (11.1%) zerosZeros
4.75 has 59 (29.6%) zerosZeros
0.7 has 58 (29.1%) zerosZeros
0.0.4 has 193 (97.0%) zerosZeros
9.28 has 28 (14.1%) zerosZeros
0.12 has 22 (11.1%) zerosZeros
0.0.5 has 77 (38.7%) zerosZeros
0.0.6 has 77 (38.7%) zerosZeros

Reproduction

Analysis started2023-12-10 06:37:46.970332
Analysis finished2023-12-10 06:37:47.617357
Duration0.65 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

9287
Real number (ℝ)

UNIQUE 

Distinct199
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9275.7136
Minimum8964
Maximum9577
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:37:47.732182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8964
5-th percentile8973.9
Q19013.5
median9330
Q39379.5
95-th percentile9567.1
Maximum9577
Range613
Interquartile range (IQR)366

Descriptive statistics

Standard deviation197.54624
Coefficient of variation (CV)0.021297148
Kurtosis-1.1175522
Mean9275.7136
Median Absolute Deviation (MAD)58
Skewness-0.40900943
Sum1845867
Variance39024.519
MonotonicityNot monotonic
2023-12-10T15:37:47.960348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9288 1
 
0.5%
9478 1
 
0.5%
9353 1
 
0.5%
9565 1
 
0.5%
9354 1
 
0.5%
9566 1
 
0.5%
9355 1
 
0.5%
9567 1
 
0.5%
9356 1
 
0.5%
9477 1
 
0.5%
Other values (189) 189
95.0%
ValueCountFrequency (%)
8964 1
0.5%
8965 1
0.5%
8966 1
0.5%
8967 1
0.5%
8968 1
0.5%
8969 1
0.5%
8970 1
0.5%
8971 1
0.5%
8972 1
0.5%
8973 1
0.5%
ValueCountFrequency (%)
9577 1
0.5%
9576 1
0.5%
9575 1
0.5%
9574 1
0.5%
9573 1
0.5%
9572 1
0.5%
9571 1
0.5%
9570 1
0.5%
9569 1
0.5%
9568 1
0.5%

12fa6f797c64946cad9e0eafdb4139d59600675901bc7cba1fc5a403a1d80d00
Categorical

Distinct3
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
12fa6f797c64946cad9e0eafdb4139d59600675901bc7cba1fc5a403a1d80d00
147 
bd8e4b1bb7de14c9a3ddf9e26a1c855d023e269562ebf27c6b86c2cd670aea29
34 
42bad293aa25db192bcd22555dd1fa5071c1650103741c78b55a1fdda7a95148
18 

Length

Max length64
Median length64
Mean length64
Min length64

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row12fa6f797c64946cad9e0eafdb4139d59600675901bc7cba1fc5a403a1d80d00
2nd row12fa6f797c64946cad9e0eafdb4139d59600675901bc7cba1fc5a403a1d80d00
3rd row12fa6f797c64946cad9e0eafdb4139d59600675901bc7cba1fc5a403a1d80d00
4th row12fa6f797c64946cad9e0eafdb4139d59600675901bc7cba1fc5a403a1d80d00
5th row12fa6f797c64946cad9e0eafdb4139d59600675901bc7cba1fc5a403a1d80d00

Common Values

ValueCountFrequency (%)
12fa6f797c64946cad9e0eafdb4139d59600675901bc7cba1fc5a403a1d80d00 147
73.9%
bd8e4b1bb7de14c9a3ddf9e26a1c855d023e269562ebf27c6b86c2cd670aea29 34
 
17.1%
42bad293aa25db192bcd22555dd1fa5071c1650103741c78b55a1fdda7a95148 18
 
9.0%

Length

2023-12-10T15:37:48.552255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:37:48.709020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
12fa6f797c64946cad9e0eafdb4139d59600675901bc7cba1fc5a403a1d80d00 147
73.9%
bd8e4b1bb7de14c9a3ddf9e26a1c855d023e269562ebf27c6b86c2cd670aea29 34
 
17.1%
42bad293aa25db192bcd22555dd1fa5071c1650103741c78b55a1fdda7a95148 18
 
9.0%

1
Categorical

Distinct3
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
1
79 
2
67 
0
53 

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 79
39.7%
2 67
33.7%
0 53
26.6%

Length

2023-12-10T15:37:48.895821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:37:49.057518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 79
39.7%
2 67
33.7%
0 53
26.6%

2020-01-20 12:04:28
Date

Distinct37
Distinct (%)18.6%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
Minimum2020-01-01 08:05:40
Maximum2020-01-31 17:47:59
2023-12-10T15:37:49.247024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:37:49.451925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)

0.25
Categorical

Distinct4
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
1.0
121 
0.25
69 
0.75
 
5
0.5
 
4

Length

Max length4
Median length3
Mean length3.3718593
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.25
2nd row0.25
3rd row0.25
4th row0.25
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 121
60.8%
0.25 69
34.7%
0.75 5
 
2.5%
0.5 4
 
2.0%

Length

2023-12-10T15:37:49.682958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:37:49.864727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.0 121
60.8%
0.25 69
34.7%
0.75 5
 
2.5%
0.5 4
 
2.0%

ko
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
ko
199 

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 199
100.0%

Length

2023-12-10T15:37:50.085116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:37:50.249768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
ko 199
100.0%

배추김치
Text

Distinct76
Distinct (%)38.2%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2023-12-10T15:37:50.620576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length16
Mean length4.3567839
Min length1

Characters and Unicode

Total characters867
Distinct characters152
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

Unique38 ?
Unique (%)19.1%

Sample

1st row소불고기
2nd row소고기무국
3rd row"두부지짐
4th row양배추찜
5th row호박나물
ValueCountFrequency (%)
배추김치 28
 
12.9%
쌀밥 20
 
9.2%
시금치나물 14
 
6.5%
멸치볶음 8
 
3.7%
계란찜 6
 
2.8%
깻잎장아찌 5
 
2.3%
계란국 4
 
1.8%
동치미 4
 
1.8%
깍두기 4
 
1.8%
어묵볶음 4
 
1.8%
Other values (77) 120
55.3%
2023-12-10T15:37:51.305247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
치 68
 
7.8%
김 42
 
4.8%
추 34
 
3.9%
배 33
 
3.8%
밥 28
 
3.2%
물 22
 
2.5%
기 22
 
2.5%
쌀 20
 
2.3%
장 20
 
2.3%
나 19
 
2.2%
Other values (142) 559
64.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 823
94.9%
Space Separator 18
 
2.1%
Close Punctuation 6
 
0.7%
Other Punctuation 6
 
0.7%
Open Punctuation 6
 
0.7%
Uppercase Letter 4
 
0.5%
Decimal Number 4
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
치 68
 
8.3%
김 42
 
5.1%
추 34
 
4.1%
배 33
 
4.0%
밥 28
 
3.4%
물 22
 
2.7%
기 22
 
2.7%
쌀 20
 
2.4%
장 20
 
2.4%
나 19
 
2.3%
Other values (134) 515
62.6%
Uppercase Letter
ValueCountFrequency (%)
G 2
50.0%
T 2
50.0%
Decimal Number
ValueCountFrequency (%)
1 2
50.0%
0 2
50.0%
Space Separator
ValueCountFrequency (%)
18
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Other Punctuation
ValueCountFrequency (%)
" 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 823
94.9%
Common 40
 
4.6%
Latin 4
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
치 68
 
8.3%
김 42
 
5.1%
추 34
 
4.1%
배 33
 
4.0%
밥 28
 
3.4%
물 22
 
2.7%
기 22
 
2.7%
쌀 20
 
2.4%
장 20
 
2.4%
나 19
 
2.3%
Other values (134) 515
62.6%
Common
ValueCountFrequency (%)
18
45.0%
) 6
 
15.0%
" 6
 
15.0%
( 6
 
15.0%
1 2
 
5.0%
0 2
 
5.0%
Latin
ValueCountFrequency (%)
G 2
50.0%
T 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 823
94.9%
ASCII 44
 
5.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
치 68
 
8.3%
김 42
 
5.1%
추 34
 
4.1%
배 33
 
4.0%
밥 28
 
3.4%
물 22
 
2.7%
기 22
 
2.7%
쌀 20
 
2.4%
장 20
 
2.4%
나 19
 
2.3%
Other values (134) 515
62.6%
ASCII
ValueCountFrequency (%)
18
40.9%
) 6
 
13.6%
" 6
 
13.6%
( 6
 
13.6%
G 2
 
4.5%
1 2
 
4.5%
0 2
 
4.5%
T 2
 
4.5%

1접시
Categorical

Distinct18
Distinct (%)9.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
1접시
93 
1공기
28 
1종지
20 
1대접
16 
1인분
15 
Other values (13)
27 

Length

Max length9
Median length3
Mean length3.1306533
Min length2

Unique

Unique6 ?
Unique (%)3.0%

Sample

1st row1인분
2nd row1대접
3rd row 양념장"
4th row1접시
5th row1접시

Common Values

ValueCountFrequency (%)
1접시 93
46.7%
1공기 28
 
14.1%
1종지 20
 
10.1%
1대접 16
 
8.0%
1인분 15
 
7.5%
1개 8
 
4.0%
1토막 3
 
1.5%
1팩 2
 
1.0%
호상" 2
 
1.0%
1인분(7개) 2
 
1.0%
Other values (8) 10
 
5.0%

Length

2023-12-10T15:37:51.628517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
1접시 93
46.7%
1공기 28
 
14.1%
1종지 20
 
10.1%
1대접 16
 
8.0%
1인분 15
 
7.5%
1개 8
 
4.0%
1토막 3
 
1.5%
양념장 2
 
1.0%
1큰술 2
 
1.0%
1인분(7개 2
 
1.0%
Other values (8) 10
 
5.0%

10.0
Text

Distinct61
Distinct (%)30.7%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2023-12-10T15:37:52.001513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length4
Mean length4.2914573
Min length2

Characters and Unicode

Total characters854
Distinct characters20
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique27 ?
Unique (%)13.6%

Sample

1st row50.0
2nd row25.0
3rd row1접시
4th row16.0
5th row66.0
ValueCountFrequency (%)
40.0 23
 
11.6%
210.0 21
 
10.6%
10.0 16
 
8.0%
100.0 8
 
4.0%
30.0 7
 
3.5%
25.0 7
 
3.5%
19.0 7
 
3.5%
76.0 7
 
3.5%
7.5 6
 
3.0%
13.25 6
 
3.0%
Other values (51) 91
45.7%
2023-12-10T15:37:52.582525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 289
33.8%
. 193
22.6%
1 98
 
11.5%
5 64
 
7.5%
2 53
 
6.2%
7 35
 
4.1%
3 34
 
4.0%
4 32
 
3.7%
6 18
 
2.1%
9 14
 
1.6%
Other values (10) 24
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 647
75.8%
Other Punctuation 194
 
22.7%
Other Letter 11
 
1.3%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 289
44.7%
1 98
 
15.1%
5 64
 
9.9%
2 53
 
8.2%
7 35
 
5.4%
3 34
 
5.3%
4 32
 
4.9%
6 18
 
2.8%
9 14
 
2.2%
8 10
 
1.5%
Other Letter
ValueCountFrequency (%)
접 3
27.3%
시 3
27.3%
개 2
18.2%
인 1
 
9.1%
분 1
 
9.1%
컵 1
 
9.1%
Other Punctuation
ValueCountFrequency (%)
. 193
99.5%
/ 1
 
0.5%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 843
98.7%
Hangul 11
 
1.3%

Most frequent character per script

Common
ValueCountFrequency (%)
0 289
34.3%
. 193
22.9%
1 98
 
11.6%
5 64
 
7.6%
2 53
 
6.3%
7 35
 
4.2%
3 34
 
4.0%
4 32
 
3.8%
6 18
 
2.1%
9 14
 
1.7%
Other values (4) 13
 
1.5%
Hangul
ValueCountFrequency (%)
접 3
27.3%
시 3
27.3%
개 2
18.2%
인 1
 
9.1%
분 1
 
9.1%
컵 1
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 843
98.7%
Hangul 11
 
1.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 289
34.3%
. 193
22.9%
1 98
 
11.6%
5 64
 
7.6%
2 53
 
6.3%
7 35
 
4.2%
3 34
 
4.0%
4 32
 
3.8%
6 18
 
2.1%
9 14
 
1.7%
Other values (4) 13
 
1.5%
Hangul
ValueCountFrequency (%)
접 3
27.3%
시 3
27.3%
개 2
18.2%
인 1
 
9.1%
분 1
 
9.1%
컵 1
 
9.1%

2.5
Real number (ℝ)

Distinct93
Distinct (%)46.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean108.3766
Minimum1.3
Maximum797
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:37:52.834909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.3
5-th percentile2.5
Q110.7437
median40.44
Q3140.91
95-th percentile335.1
Maximum797
Range795.7
Interquartile range (IQR)130.1663

Descriptive statistics

Standard deviation151.90723
Coefficient of variation (CV)1.4016607
Kurtosis4.8669646
Mean108.3766
Median Absolute Deviation (MAD)33.75875
Skewness2.0966991
Sum21566.944
Variance23075.806
MonotonicityNot monotonic
2023-12-10T15:37:53.077881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
326.7 18
 
9.0%
10.0 15
 
7.5%
2.5 14
 
7.0%
10.7437 7
 
3.5%
42.975 7
 
3.5%
19.3325 6
 
3.0%
20.96 5
 
2.5%
26.725 4
 
2.0%
54.0 4
 
2.0%
6.0 4
 
2.0%
Other values (83) 115
57.8%
ValueCountFrequency (%)
1.3 1
 
0.5%
2.0 1
 
0.5%
2.5 14
7.0%
2.73187 1
 
0.5%
3.8 1
 
0.5%
4.26125 1
 
0.5%
5.2 1
 
0.5%
5.25 3
 
1.5%
5.385 2
 
1.0%
6.0 4
 
2.0%
ValueCountFrequency (%)
797.0 1
0.5%
762.0 1
0.5%
711.3 1
0.5%
647.0 1
0.5%
620.0 1
0.5%
465.0 1
0.5%
450.0 1
0.5%
436.0 1
0.5%
430.0 1
0.5%
381.0 1
0.5%

0.44
Real number (ℝ)

ZEROS 

Distinct90
Distinct (%)45.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.657376
Minimum0
Maximum214
Zeros5
Zeros (%)2.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:37:53.335279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.4346
Q10.9875
median3.50145
Q315
95-th percentile71.55
Maximum214
Range214
Interquartile range (IQR)14.0125

Descriptive statistics

Standard deviation32.211922
Coefficient of variation (CV)1.726498
Kurtosis7.7866699
Mean18.657376
Median Absolute Deviation (MAD)3.06145
Skewness2.4603488
Sum3712.8178
Variance1037.6079
MonotonicityNot monotonic
2023-12-10T15:37:53.594478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
71.55 18
 
9.0%
1.76 14
 
7.0%
0.44 14
 
7.0%
3.50145 7
 
3.5%
0.875363 7
 
3.5%
0.4346 6
 
3.0%
1.3243 5
 
2.5%
0.0 5
 
2.5%
4.9901 4
 
2.0%
12.0 4
 
2.0%
Other values (80) 115
57.8%
ValueCountFrequency (%)
0.0 5
 
2.5%
0.1 1
 
0.5%
0.2 1
 
0.5%
0.202675 1
 
0.5%
0.4346 6
3.0%
0.44 14
7.0%
0.5 1
 
0.5%
0.53375 1
 
0.5%
0.5474 2
 
1.0%
0.673608 1
 
0.5%
ValueCountFrequency (%)
214.0 1
 
0.5%
147.18 1
 
0.5%
128.0 1
 
0.5%
105.05 1
 
0.5%
97.0 1
 
0.5%
94.0 1
 
0.5%
86.0 2
 
1.0%
75.3 1
 
0.5%
71.55 18
9.0%
71.0 2
 
1.0%

0.0
Real number (ℝ)

ZEROS 

Distinct73
Distinct (%)36.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.4104463
Minimum0
Maximum37
Zeros67
Zeros (%)33.7%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:37:53.817505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.085
Q31.31
95-th percentile7.00917
Maximum37
Range37
Interquartile range (IQR)1.31

Descriptive statistics

Standard deviation3.6200851
Coefficient of variation (CV)2.5666239
Kurtosis49.21662
Mean1.4104463
Median Absolute Deviation (MAD)0.085
Skewness5.9640247
Sum280.67881
Variance13.105016
MonotonicityNot monotonic
2023-12-10T15:37:54.041305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 67
33.7%
0.001175 7
 
3.5%
0.0047 7
 
3.5%
0.0275 6
 
3.0%
0.75 5
 
2.5%
0.5 4
 
2.0%
3.0 4
 
2.0%
0.5329 4
 
2.0%
0.248 4
 
2.0%
3.2 3
 
1.5%
Other values (63) 88
44.2%
ValueCountFrequency (%)
0.0 67
33.7%
0.001175 7
 
3.5%
0.00235 1
 
0.5%
0.0047 7
 
3.5%
0.0094 1
 
0.5%
0.0275 6
 
3.0%
0.036175 2
 
1.0%
0.0448 2
 
1.0%
0.045975 3
 
1.5%
0.05 2
 
1.0%
ValueCountFrequency (%)
37.0 1
0.5%
15.0 1
0.5%
14.0 2
1.0%
12.0 1
0.5%
11.14 1
0.5%
9.6956 1
0.5%
8.5 2
1.0%
7.2717 1
0.5%
6.98 1
0.5%
6.0 1
0.5%

-49.1
Categorical

Distinct3
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
-49.1
147 
-50.0
34 
0.0
18 

Length

Max length5
Median length5
Mean length4.8190955
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row-49.1
2nd row-49.1
3rd row-49.1
4th row-49.1
5th row-49.1

Common Values

ValueCountFrequency (%)
-49.1 147
73.9%
-50.0 34
 
17.1%
0.0 18
 
9.0%

Length

2023-12-10T15:37:54.299019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:37:54.502983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
49.1 147
73.9%
50.0 34
 
17.1%
0.0 18
 
9.0%

0.14
Real number (ℝ)

ZEROS 

Distinct90
Distinct (%)45.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.3542363
Minimum0
Maximum50.8
Zeros2
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:37:54.699938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.14
Q10.56
median1.8948
Q35.76
95-th percentile15.2
Maximum50.8
Range50.8
Interquartile range (IQR)5.2

Descriptive statistics

Standard deviation6.6391854
Coefficient of variation (CV)1.5247646
Kurtosis18.680636
Mean4.3542363
Median Absolute Deviation (MAD)1.6402
Skewness3.704003
Sum866.49303
Variance44.078782
MonotonicityNot monotonic
2023-12-10T15:37:54.971725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.76 18
 
9.0%
0.56 14
 
7.0%
0.14 14
 
7.0%
3.1351 7
 
3.5%
0.783775 7
 
3.5%
8.0 6
 
3.0%
1.55875 6
 
3.0%
1.74245 5
 
2.5%
1.8948 4
 
2.0%
0.3 4
 
2.0%
Other values (80) 114
57.3%
ValueCountFrequency (%)
0.0 2
 
1.0%
0.0534737 1
 
0.5%
0.0735 3
 
1.5%
0.14 14
7.0%
0.143 1
 
0.5%
0.15 2
 
1.0%
0.193 1
 
0.5%
0.2 1
 
0.5%
0.213895 2
 
1.0%
0.3 4
 
2.0%
ValueCountFrequency (%)
50.8 1
 
0.5%
43.0 1
 
0.5%
32.0 1
 
0.5%
25.4 1
 
0.5%
24.0 1
 
0.5%
20.8 1
 
0.5%
20.63 1
 
0.5%
18.0 1
 
0.5%
15.2 3
1.5%
15.1 1
 
0.5%

0.0.1
Real number (ℝ)

ZEROS 

Distinct85
Distinct (%)42.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.864771
Minimum0
Maximum19.515
Zeros37
Zeros (%)18.6%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:37:55.302308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.01
median0.126
Q30.6349
95-th percentile3.1914
Maximum19.515
Range19.515
Interquartile range (IQR)0.6249

Descriptive statistics

Standard deviation2.2121397
Coefficient of variation (CV)2.5580641
Kurtosis37.46129
Mean0.864771
Median Absolute Deviation (MAD)0.126
Skewness5.5216882
Sum172.08943
Variance4.8935618
MonotonicityNot monotonic
2023-12-10T15:37:55.595933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 37
 
18.6%
0.126 18
 
9.0%
0.097975 7
 
3.5%
0.3919 7
 
3.5%
0.356625 6
 
3.0%
0.158725 5
 
2.5%
0.0732 4
 
2.0%
0.05 4
 
2.0%
0.326 3
 
1.5%
2.756 3
 
1.5%
Other values (75) 105
52.8%
ValueCountFrequency (%)
0.0 37
18.6%
0.000125 1
 
0.5%
0.0005 1
 
0.5%
0.001415 1
 
0.5%
0.0015 3
 
1.5%
0.0038 2
 
1.0%
0.004 2
 
1.0%
0.00566 2
 
1.0%
0.01 2
 
1.0%
0.012855 1
 
0.5%
ValueCountFrequency (%)
19.515 1
0.5%
15.985 1
0.5%
9.7575 1
0.5%
8.3 1
0.5%
7.696 1
0.5%
6.0 1
0.5%
5.448 1
0.5%
4.0 1
0.5%
3.67 1
0.5%
3.33 1
0.5%

0.0.2
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.039250251
Minimum0
Maximum2.8
Zeros193
Zeros (%)97.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:37:55.838608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum2.8
Range2.8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.27249199
Coefficient of variation (CV)6.9424267
Kurtosis67.492666
Mean0.039250251
Median Absolute Deviation (MAD)0
Skewness7.9410239
Sum7.8108
Variance0.074251885
MonotonicityNot monotonic
2023-12-10T15:37:56.024554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0.0 193
97.0%
1.7 2
 
1.0%
0.2815 1
 
0.5%
1.126 1
 
0.5%
2.8 1
 
0.5%
0.2033 1
 
0.5%
ValueCountFrequency (%)
0.0 193
97.0%
0.2033 1
 
0.5%
0.2815 1
 
0.5%
1.126 1
 
0.5%
1.7 2
 
1.0%
2.8 1
 
0.5%
ValueCountFrequency (%)
2.8 1
 
0.5%
1.7 2
 
1.0%
1.126 1
 
0.5%
0.2815 1
 
0.5%
0.2033 1
 
0.5%
0.0 193
97.0%

0.225
Real number (ℝ)

ZEROS 

Distinct50
Distinct (%)25.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.819264
Minimum0
Maximum223
Zeros95
Zeros (%)47.7%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:37:56.265862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.225
Q312.65
95-th percentile84.0249
Maximum223
Range223
Interquartile range (IQR)12.65

Descriptive statistics

Standard deviation39.255353
Coefficient of variation (CV)2.4814904
Kurtosis14.443912
Mean15.819264
Median Absolute Deviation (MAD)0.225
Skewness3.6700718
Sum3148.0336
Variance1540.9827
MonotonicityNot monotonic
2023-12-10T15:37:56.488703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 95
47.7%
0.9 14
 
7.0%
0.225 14
 
7.0%
41.1037 6
 
3.0%
16.2705 5
 
2.5%
2.95 4
 
2.0%
25.2 3
 
1.5%
12.8 3
 
1.5%
65.082 3
 
1.5%
1.8 2
 
1.0%
Other values (40) 50
25.1%
ValueCountFrequency (%)
0.0 95
47.7%
0.025 2
 
1.0%
0.225 14
 
7.0%
0.675 1
 
0.5%
0.825 2
 
1.0%
0.9 14
 
7.0%
1.8 2
 
1.0%
1.9 2
 
1.0%
2.0 2
 
1.0%
2.95 4
 
2.0%
ValueCountFrequency (%)
223.0 2
1.0%
218.3 1
0.5%
198.2 1
0.5%
171.0 1
0.5%
163.725 1
0.5%
136.34 1
0.5%
107.5 1
0.5%
98.649 2
1.0%
82.4 1
0.5%
76.6768 1
0.5%

23.2
Real number (ℝ)

ZEROS 

Distinct91
Distinct (%)45.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean243.09929
Minimum0
Maximum2032
Zeros4
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:37:56.746487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7.2
Q127
median92.8
Q3280.083
95-th percentile888.1
Maximum2032
Range2032
Interquartile range (IQR)253.083

Descriptive statistics

Standard deviation372.53578
Coefficient of variation (CV)1.5324429
Kurtosis10.382495
Mean243.09929
Median Absolute Deviation (MAD)85.6
Skewness3.0322633
Sum48376.759
Variance138782.91
MonotonicityNot monotonic
2023-12-10T15:37:57.038064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7.2 18
 
9.0%
92.8 14
 
7.0%
23.2 14
 
7.0%
283.166 7
 
3.5%
70.7915 7
 
3.5%
75.2148 6
 
3.0%
159.137 5
 
2.5%
0.0 4
 
2.0%
213.2 4
 
2.0%
239.865 4
 
2.0%
Other values (81) 116
58.3%
ValueCountFrequency (%)
0.0 4
 
2.0%
0.525 1
 
0.5%
3.0 2
 
1.0%
5.4 2
 
1.0%
7.2 18
9.0%
7.7 2
 
1.0%
9.25 1
 
0.5%
11.25 1
 
0.5%
15.0 1
 
0.5%
19.5 2
 
1.0%
ValueCountFrequency (%)
2032.0 1
 
0.5%
1964.0 3
1.5%
1928.42 1
 
0.5%
1421.0 1
 
0.5%
1220.0 1
 
0.5%
1065.75 1
 
0.5%
1032.0 1
 
0.5%
889.0 1
 
0.5%
888.0 2
1.0%
828.0 1
 
0.5%

0.0.3
Real number (ℝ)

ZEROS 

Distinct58
Distinct (%)29.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.2506307
Minimum0
Maximum413.606
Zeros63
Zeros (%)31.7%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:37:57.637327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.585875
Q31.76
95-th percentile7.68
Maximum413.606
Range413.606
Interquartile range (IQR)1.76

Descriptive statistics

Standard deviation38.346346
Coefficient of variation (CV)6.1347963
Kurtosis87.053441
Mean6.2506307
Median Absolute Deviation (MAD)0.585875
Skewness9.0841137
Sum1243.8755
Variance1470.4422
MonotonicityNot monotonic
2023-12-10T15:37:57.888725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 63
31.7%
0.9 19
 
9.5%
2.3435 7
 
3.5%
0.585875 7
 
3.5%
1.3 7
 
3.5%
0.5 5
 
2.5%
2.3 5
 
2.5%
0.325 5
 
2.5%
0.2 4
 
2.0%
2.377 4
 
2.0%
Other values (48) 73
36.7%
ValueCountFrequency (%)
0.0 63
31.7%
0.02 1
 
0.5%
0.05075 2
 
1.0%
0.1025 2
 
1.0%
0.125 2
 
1.0%
0.15 1
 
0.5%
0.175 1
 
0.5%
0.2 4
 
2.0%
0.203 2
 
1.0%
0.325 5
 
2.5%
ValueCountFrequency (%)
413.606 1
 
0.5%
320.0 1
 
0.5%
119.0 1
 
0.5%
80.0 1
 
0.5%
45.0 2
1.0%
9.6 1
 
0.5%
8.4 3
1.5%
7.6 1
 
0.5%
7.2 2
1.0%
5.7 1
 
0.5%

6.4
Real number (ℝ)

ZEROS 

Distinct75
Distinct (%)37.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.013987
Minimum0
Maximum632
Zeros23
Zeros (%)11.6%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:37:58.124986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15.538
median10.5
Q326.5355
95-th percentile81.09
Maximum632
Range632
Interquartile range (IQR)20.9975

Descriptive statistics

Standard deviation52.867478
Coefficient of variation (CV)2.0322713
Kurtosis87.757747
Mean26.013987
Median Absolute Deviation (MAD)9.5
Skewness8.0849761
Sum5176.7834
Variance2794.9703
MonotonicityNot monotonic
2023-12-10T15:37:58.334280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 23
 
11.6%
6.3 18
 
9.0%
6.4 14
 
7.0%
25.6 14
 
7.0%
48.33 7
 
3.5%
12.0825 7
 
3.5%
6.865 6
 
3.0%
4.0 5
 
2.5%
34.5 5
 
2.5%
63.105 4
 
2.0%
Other values (65) 96
48.2%
ValueCountFrequency (%)
0.0 23
11.6%
0.595 2
 
1.0%
1.0 3
 
1.5%
1.025 1
 
0.5%
1.3845 1
 
0.5%
1.7925 1
 
0.5%
2.5 1
 
0.5%
2.525 1
 
0.5%
3.0853 1
 
0.5%
3.15 1
 
0.5%
ValueCountFrequency (%)
632.0 1
 
0.5%
152.0 3
1.5%
138.0 3
1.5%
114.0 1
 
0.5%
96.0 1
 
0.5%
85.5 1
 
0.5%
80.6 2
1.0%
79.705 2
1.0%
74.0 1
 
0.5%
67.0 1
 
0.5%

4.25
Real number (ℝ)

ZEROS 

Distinct67
Distinct (%)33.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.237874
Minimum0
Maximum267
Zeros32
Zeros (%)16.1%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:37:58.547648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13.6
median11
Q325.325
95-th percentile139.968
Maximum267
Range267
Interquartile range (IQR)21.725

Descriptive statistics

Standard deviation46.841823
Coefficient of variation (CV)1.7197312
Kurtosis8.4919188
Mean27.237874
Median Absolute Deviation (MAD)9.25
Skewness2.9064786
Sum5420.337
Variance2194.1564
MonotonicityNot monotonic
2023-12-10T15:37:58.800458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 32
 
16.1%
11.0 18
 
9.0%
17.0 14
 
7.0%
4.25 14
 
7.0%
48.1 7
 
3.5%
192.4 7
 
3.5%
10.125 6
 
3.0%
8.75 5
 
2.5%
37.15 4
 
2.0%
24.0 4
 
2.0%
Other values (57) 88
44.2%
ValueCountFrequency (%)
0.0 32
16.1%
0.15 1
 
0.5%
0.25 3
 
1.5%
1.0 1
 
0.5%
1.0275 3
 
1.5%
1.75 1
 
0.5%
2.17 1
 
0.5%
2.425 1
 
0.5%
2.5 1
 
0.5%
3.0 1
 
0.5%
ValueCountFrequency (%)
267.0 1
 
0.5%
216.0 1
 
0.5%
192.4 7
3.5%
162.0 1
 
0.5%
137.52 1
 
0.5%
135.0 2
 
1.0%
104.55 2
 
1.0%
84.882 1
 
0.5%
71.05 2
 
1.0%
69.5 2
 
1.0%

0.08
Real number (ℝ)

ZEROS 

Distinct74
Distinct (%)37.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.3727978
Minimum0
Maximum20
Zeros22
Zeros (%)11.1%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:37:59.067772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.11315
median0.32
Q31.17
95-th percentile5.69
Maximum20
Range20
Interquartile range (IQR)1.05685

Descriptive statistics

Standard deviation3.1853921
Coefficient of variation (CV)2.3203651
Kurtosis18.437851
Mean1.3727978
Median Absolute Deviation (MAD)0.3116
Skewness4.1980282
Sum273.18676
Variance10.146723
MonotonicityNot monotonic
2023-12-10T15:37:59.406514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 22
 
11.1%
1.17 18
 
9.0%
0.08 14
 
7.0%
0.32 14
 
7.0%
2.00375 7
 
3.5%
0.500938 7
 
3.5%
0.231725 6
 
3.0%
0.6 5
 
2.5%
0.25 5
 
2.5%
0.6316 4
 
2.0%
Other values (64) 97
48.7%
ValueCountFrequency (%)
0.0 22
11.1%
0.0172438 1
 
0.5%
0.022875 3
 
1.5%
0.028 4
 
2.0%
0.033 1
 
0.5%
0.068975 2
 
1.0%
0.08 14
7.0%
0.092675 1
 
0.5%
0.1 1
 
0.5%
0.11315 3
 
1.5%
ValueCountFrequency (%)
20.0 2
1.0%
16.8 1
 
0.5%
15.2 3
1.5%
10.5 1
 
0.5%
9.4 1
 
0.5%
9.0 1
 
0.5%
8.3 1
 
0.5%
5.4 1
 
0.5%
5.25 1
 
0.5%
4.3 1
 
0.5%

4.75
Real number (ℝ)

ZEROS 

Distinct50
Distinct (%)25.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.086785
Minimum0
Maximum408
Zeros59
Zeros (%)29.6%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:37:59.680499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4.75
Q319
95-th percentile186
Maximum408
Range408
Interquartile range (IQR)19

Descriptive statistics

Standard deviation80.512535
Coefficient of variation (CV)2.3619868
Kurtosis11.520129
Mean34.086785
Median Absolute Deviation (MAD)4.75
Skewness3.3664164
Sum6783.2702
Variance6482.2682
MonotonicityNot monotonic
2023-12-10T15:38:00.002946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 59
29.6%
1.0 18
 
9.0%
19.0 14
 
7.0%
4.75 14
 
7.0%
115.0 7
 
3.5%
28.75 7
 
3.5%
11.25 6
 
3.0%
15.0 5
 
2.5%
6.0 4
 
2.0%
408.0 4
 
2.0%
Other values (40) 61
30.7%
ValueCountFrequency (%)
0.0 59
29.6%
0.1 2
 
1.0%
0.2 1
 
0.5%
0.25 1
 
0.5%
0.3084 1
 
0.5%
0.5 1
 
0.5%
0.75 2
 
1.0%
1.0 18
 
9.0%
1.2336 1
 
0.5%
1.25 3
 
1.5%
ValueCountFrequency (%)
408.0 4
2.0%
380.0 2
 
1.0%
290.0 1
 
0.5%
222.0 3
1.5%
182.0 2
 
1.0%
176.0 2
 
1.0%
167.0 1
 
0.5%
146.25 1
 
0.5%
115.0 7
3.5%
102.0 1
 
0.5%

49.1
Categorical

Distinct3
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
49.1
147 
50.0
34 
58.0
18 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row49.1
2nd row49.1
3rd row49.1
4th row49.1
5th row49.1

Common Values

ValueCountFrequency (%)
49.1 147
73.9%
50.0 34
 
17.1%
58.0 18
 
9.0%

Length

2023-12-10T15:38:00.337970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:38:00.548980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
49.1 147
73.9%
50.0 34
 
17.1%
58.0 18
 
9.0%

0.7
Real number (ℝ)

ZEROS 

Distinct54
Distinct (%)27.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.9755073
Minimum0
Maximum106.5
Zeros58
Zeros (%)29.1%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:38:00.768842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.7
Q34
95-th percentile35.9066
Maximum106.5
Range106.5
Interquartile range (IQR)4

Descriptive statistics

Standard deviation13.875096
Coefficient of variation (CV)2.3219946
Kurtosis27.583961
Mean5.9755073
Median Absolute Deviation (MAD)0.7
Skewness4.6359131
Sum1189.1259
Variance192.51828
MonotonicityNot monotonic
2023-12-10T15:38:01.019271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 58
29.1%
0.7 15
 
7.5%
2.8 14
 
7.0%
4.0 12
 
6.0%
8.97665 7
 
3.5%
35.9066 7
 
3.5%
0.06 6
 
3.0%
8.0 5
 
2.5%
0.02965 5
 
2.5%
6.2852 3
 
1.5%
Other values (44) 67
33.7%
ValueCountFrequency (%)
0.0 58
29.1%
0.02965 5
 
2.5%
0.05925 1
 
0.5%
0.06 6
 
3.0%
0.1186 3
 
1.5%
0.175 1
 
0.5%
0.1881 1
 
0.5%
0.25 3
 
1.5%
0.35 1
 
0.5%
0.3586 2
 
1.0%
ValueCountFrequency (%)
106.5 2
 
1.0%
49.0 1
 
0.5%
48.0 1
 
0.5%
35.9066 7
3.5%
29.06 1
 
0.5%
29.0 2
 
1.0%
25.6786 1
 
0.5%
25.0 3
1.5%
24.1768 1
 
0.5%
18.1326 1
 
0.5%

0.0.4
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.030676382
Minimum0
Maximum2
Zeros193
Zeros (%)97.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:38:01.197541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum2
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.20294562
Coefficient of variation (CV)6.615696
Kurtosis59.782841
Mean0.030676382
Median Absolute Deviation (MAD)0
Skewness7.4951206
Sum6.1046
Variance0.041186924
MonotonicityNot monotonic
2023-12-10T15:38:01.387850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0.0 193
97.0%
1.258 2
 
1.0%
0.25 1
 
0.5%
1.0 1
 
0.5%
2.0 1
 
0.5%
0.3386 1
 
0.5%
ValueCountFrequency (%)
0.0 193
97.0%
0.25 1
 
0.5%
0.3386 1
 
0.5%
1.0 1
 
0.5%
1.258 2
 
1.0%
2.0 1
 
0.5%
ValueCountFrequency (%)
2.0 1
 
0.5%
1.258 2
 
1.0%
1.0 1
 
0.5%
0.3386 1
 
0.5%
0.25 1
 
0.5%
0.0 193
97.0%

9.28
Real number (ℝ)

ZEROS 

Distinct74
Distinct (%)37.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.573083
Minimum0
Maximum216.489
Zeros28
Zeros (%)14.1%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:38:01.634243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q19.28
median16.2321
Q338.2878
95-th percentile97.71299
Maximum216.489
Range216.489
Interquartile range (IQR)29.0078

Descriptive statistics

Standard deviation33.769695
Coefficient of variation (CV)1.1419065
Kurtosis5.7257264
Mean29.573083
Median Absolute Deviation (MAD)16.2321
Skewness2.044857
Sum5885.0435
Variance1140.3923
MonotonicityNot monotonic
2023-12-10T15:38:01.889194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 28
 
14.1%
12.06 18
 
9.0%
9.28 14
 
7.0%
37.12 14
 
7.0%
64.9284 7
 
3.5%
16.2321 7
 
3.5%
9.72427 6
 
3.0%
2.68725 5
 
2.5%
22.003 4
 
2.0%
38.48 4
 
2.0%
Other values (64) 92
46.2%
ValueCountFrequency (%)
0.0 28
14.1%
0.05795 1
 
0.5%
0.2318 1
 
0.5%
2.49375 3
 
1.5%
2.68725 5
 
2.5%
4.21975 1
 
0.5%
5.50075 1
 
0.5%
5.7466 1
 
0.5%
8.89 1
 
0.5%
9.045 2
 
1.0%
ValueCountFrequency (%)
216.489 1
 
0.5%
162.367 1
 
0.5%
134.55 2
1.0%
121.391 1
 
0.5%
116.863 1
 
0.5%
105.508 3
1.5%
103.796 1
 
0.5%
97.0371 1
 
0.5%
89.7 1
 
0.5%
88.289 1
 
0.5%

0.12
Real number (ℝ)

ZEROS 

Distinct79
Distinct (%)39.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.7950055
Minimum0
Maximum103.7
Zeros22
Zeros (%)11.1%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:38:02.145714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.2869
median0.48
Q31.34105
95-th percentile3.521
Maximum103.7
Range103.7
Interquartile range (IQR)1.05415

Descriptive statistics

Standard deviation11.884501
Coefficient of variation (CV)4.2520492
Kurtosis42.328483
Mean2.7950055
Median Absolute Deviation (MAD)0.36
Skewness6.4117966
Sum556.2061
Variance141.24137
MonotonicityNot monotonic
2023-12-10T15:38:02.399490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 22
 
11.1%
0.36 18
 
9.0%
0.12 14
 
7.0%
0.48 14
 
7.0%
2.2135 7
 
3.5%
0.553375 7
 
3.5%
0.2869 6
 
3.0%
0.57665 5
 
2.5%
1.2567 4
 
2.0%
0.676 4
 
2.0%
Other values (69) 98
49.2%
ValueCountFrequency (%)
0.0 22
11.1%
0.08925 1
 
0.5%
0.12 14
7.0%
0.135 1
 
0.5%
0.15225 3
 
1.5%
0.189763 1
 
0.5%
0.19 1
 
0.5%
0.194 1
 
0.5%
0.21 1
 
0.5%
0.27 2
 
1.0%
ValueCountFrequency (%)
103.7 1
0.5%
71.4198 1
0.5%
66.555 2
1.0%
64.9624 1
0.5%
16.2406 1
0.5%
6.2109 1
0.5%
4.65817 1
0.5%
4.1495 1
0.5%
3.62 1
0.5%
3.51 1
0.5%

0.0.5
Real number (ℝ)

ZEROS 

Distinct69
Distinct (%)34.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1195.3235
Minimum0
Maximum16606
Zeros77
Zeros (%)38.7%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:38:02.607553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median122.97
Q31563.98
95-th percentile6361.317
Maximum16606
Range16606
Interquartile range (IQR)1563.98

Descriptive statistics

Standard deviation2372.8028
Coefficient of variation (CV)1.9850717
Kurtosis13.920223
Mean1195.3235
Median Absolute Deviation (MAD)122.97
Skewness3.3708676
Sum237869.37
Variance5630193
MonotonicityNot monotonic
2023-12-10T15:38:02.825896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 77
38.7%
2393.11 7
 
3.5%
598.279 7
 
3.5%
1563.98 6
 
3.0%
1857.47 5
 
2.5%
1523.71 4
 
2.0%
124.8 4
 
2.0%
370.8 3
 
1.5%
3046.41 3
 
1.5%
3651.37 3
 
1.5%
Other values (59) 80
40.2%
ValueCountFrequency (%)
0.0 77
38.7%
0.1025 1
 
0.5%
0.359625 1
 
0.5%
0.41 1
 
0.5%
0.646 2
 
1.0%
1.4385 1
 
0.5%
1.4475 1
 
0.5%
1.53 1
 
0.5%
24.1875 3
 
1.5%
34.4825 1
 
0.5%
ValueCountFrequency (%)
16606.0 1
 
0.5%
12454.5 1
 
0.5%
11889.1 1
 
0.5%
10095.0 1
 
0.5%
7429.89 3
1.5%
7381.4 2
1.0%
7313.67 1
 
0.5%
6255.5 1
 
0.5%
6083.5 2
1.0%
5421.92 1
 
0.5%

0.0.6
Real number (ℝ)

ZEROS 

Distinct69
Distinct (%)34.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean638.22824
Minimum0
Maximum7881.08
Zeros77
Zeros (%)38.7%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:38:03.056192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median55.69
Q3785.785
95-th percentile3291.346
Maximum7881.08
Range7881.08
Interquartile range (IQR)785.785

Descriptive statistics

Standard deviation1285.7151
Coefficient of variation (CV)2.0145068
Kurtosis11.205035
Mean638.22824
Median Absolute Deviation (MAD)55.69
Skewness3.1786774
Sum127007.42
Variance1653063.3
MonotonicityNot monotonic
2023-12-10T15:38:03.297277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 77
38.7%
1093.76 7
 
3.5%
273.439 7
 
3.5%
785.785 6
 
3.0%
931.535 5
 
2.5%
676.99 4
 
2.0%
50.8 4
 
2.0%
136.0 3
 
1.5%
1342.99 3
 
1.5%
162.911 3
 
1.5%
Other values (59) 80
40.2%
ValueCountFrequency (%)
0.0 77
38.7%
0.035 1
 
0.5%
0.14 1
 
0.5%
9.4875 3
 
1.5%
14.7129 1
 
0.5%
15.59 1
 
0.5%
15.955 2
 
1.0%
25.3475 3
 
1.5%
27.845 1
 
0.5%
34.0 1
 
0.5%
ValueCountFrequency (%)
7881.08 1
 
0.5%
6810.4 1
 
0.5%
5956.36 1
 
0.5%
5910.81 1
 
0.5%
5882.0 1
 
0.5%
5000.93 1
 
0.5%
3726.14 3
1.5%
3483.01 1
 
0.5%
3270.05 2
1.0%
3143.0 1
 
0.5%

3e74f9d0e59d4b319dc0f6860b7534eb.png
Categorical

Distinct43
Distinct (%)21.6%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
a77decbd2f01423883e50e451e426ba6.png
 
9
e7efba91e9764cd2b91f66c587895c5a.png
 
8
4581b6c42bf2472daf1100a82eafa37a.png
 
7
108b82b296584815b0cc0390e627a53b.png
 
7
d0d81418120f4bf58f6d69dbbd5d4f82.png
 
7
Other values (38)
161 

Length

Max length36
Median length36
Mean length34.125628
Min length3

Unique

Unique7 ?
Unique (%)3.5%

Sample

1st row3e74f9d0e59d4b319dc0f6860b7534eb.png
2nd row3e74f9d0e59d4b319dc0f6860b7534eb.png
3rd row759.4
4th row3e74f9d0e59d4b319dc0f6860b7534eb.png
5th row01edf75d8e00478c8a1f534dad58c231.png

Common Values

ValueCountFrequency (%)
a77decbd2f01423883e50e451e426ba6.png 9
 
4.5%
e7efba91e9764cd2b91f66c587895c5a.png 8
 
4.0%
4581b6c42bf2472daf1100a82eafa37a.png 7
 
3.5%
108b82b296584815b0cc0390e627a53b.png 7
 
3.5%
d0d81418120f4bf58f6d69dbbd5d4f82.png 7
 
3.5%
71eca7007ae0400ab7e7d4902b31c3c5.png 7
 
3.5%
aa18b5525bcb47aa8427693d1eee1cba.png 7
 
3.5%
2b44de20d29b41ca9dde2d11b393a192.png 7
 
3.5%
355f9e9412c04274b0d6009577a3799c.png 7
 
3.5%
18cdece1ac2d4bd4b18456e73bf12421.png 7
 
3.5%
Other values (33) 126
63.3%

Length

2023-12-10T15:38:03.547968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
a77decbd2f01423883e50e451e426ba6.png 9
 
4.5%
e7efba91e9764cd2b91f66c587895c5a.png 8
 
4.0%
4581b6c42bf2472daf1100a82eafa37a.png 7
 
3.5%
355f9e9412c04274b0d6009577a3799c.png 7
 
3.5%
108b82b296584815b0cc0390e627a53b.png 7
 
3.5%
0cfe5008b9114ef4a018b4804a1ed25f.png 7
 
3.5%
18cdece1ac2d4bd4b18456e73bf12421.png 7
 
3.5%
261edba1bcb4403b9ee9594b07847471.png 7
 
3.5%
2b44de20d29b41ca9dde2d11b393a192.png 7
 
3.5%
aa18b5525bcb47aa8427693d1eee1cba.png 7
 
3.5%
Other values (33) 126
63.3%

51
Real number (ℝ)

Distinct19
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean41.824121
Minimum3
Maximum62
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:38:03.718494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile4
Q135
median38
Q359
95-th percentile62
Maximum62
Range59
Interquartile range (IQR)24

Descriptive statistics

Standard deviation18.05335
Coefficient of variation (CV)0.43164925
Kurtosis-0.30707179
Mean41.824121
Median Absolute Deviation (MAD)15
Skewness-0.74660292
Sum8323
Variance325.92346
MonotonicityNot monotonic
2023-12-10T15:38:03.931013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
35 26
13.1%
36 20
10.1%
59 18
9.0%
62 17
 
8.5%
61 16
 
8.0%
4 15
 
7.5%
37 13
 
6.5%
60 11
 
5.5%
51 11
 
5.5%
38 9
 
4.5%
Other values (9) 43
21.6%
ValueCountFrequency (%)
3 3
 
1.5%
4 15
7.5%
9 5
 
2.5%
10 1
 
0.5%
14 5
 
2.5%
34 5
 
2.5%
35 26
13.1%
36 20
10.1%
37 13
6.5%
38 9
 
4.5%
ValueCountFrequency (%)
62 17
8.5%
61 16
8.0%
60 11
5.5%
59 18
9.0%
58 7
 
3.5%
53 7
 
3.5%
52 2
 
1.0%
51 11
5.5%
39 8
4.0%
38 9
4.5%

0
Categorical

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
0
147 
1
52 

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 (%)
0 147
73.9%
1 52
 
26.1%

Length

2023-12-10T15:38:04.207406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:38:04.369542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 147
73.9%
1 52
 
26.1%

[47:48]
Categorical

Distinct3
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
[47:48]
147 
[20:21]
34 
[54:55]
18 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row[47:48]
2nd row[47:48]
3rd row[47:48]
4th row[47:48]
5th row[47:48]

Common Values

ValueCountFrequency (%)
[47:48] 147
73.9%
[20:21] 34
 
17.1%
[54:55] 18
 
9.0%

Length

2023-12-10T15:38:04.558318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:38:04.711323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
47:48 147
73.9%
20:21 34
 
17.1%
54:55 18
 
9.0%

[162:164]
Categorical

Distinct3
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
[162:164]
147 
[159:161]
34 
[156:158]
18 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row[162:164]
2nd row[162:164]
3rd row[162:164]
4th row[162:164]
5th row[162:164]

Common Values

ValueCountFrequency (%)
[162:164] 147
73.9%
[159:161] 34
 
17.1%
[156:158] 18
 
9.0%

Length

2023-12-10T15:38:04.891653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:38:05.062617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
162:164 147
73.9%
159:161 34
 
17.1%
156:158 18
 
9.0%

49.1.1
Categorical

Distinct3
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
49.1
147 
50.0
34 
58.0
18 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row49.1
2nd row49.1
3rd row49.1
4th row49.1
5th row49.1

Common Values

ValueCountFrequency (%)
49.1 147
73.9%
50.0 34
 
17.1%
58.0 18
 
9.0%

Length

2023-12-10T15:38:05.621521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:38:05.787812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
49.1 147
73.9%
50.0 34
 
17.1%
58.0 18
 
9.0%

2
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2
181 
0
 
18

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row2
3rd row2
4th row2
5th row2

Common Values

ValueCountFrequency (%)
2 181
91.0%
0 18
 
9.0%

Length

2023-12-10T15:38:05.973130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:38:06.130138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 181
91.0%
0 18
 
9.0%

Sample

928712fa6f797c64946cad9e0eafdb4139d59600675901bc7cba1fc5a403a1d80d0012020-01-20 12:04:280.25ko배추김치1접시10.02.50.440.0-49.10.140.0.10.0.20.22523.20.0.36.44.250.084.7549.10.70.0.49.280.120.0.50.0.63e74f9d0e59d4b319dc0f6860b7534eb.png510[47:48][162:164]49.1.12
0928812fa6f797c64946cad9e0eafdb4139d59600675901bc7cba1fc5a403a1d80d0012020-01-20 12:04:280.25ko소불고기1인분50.044.254.550.85-49.13.20.38650.010.35223.00.98.03.2550.5393750.049.10.50.023.80110.457352916.211448.933e74f9d0e59d4b319dc0f6860b7534eb.png510[47:48][162:164]49.12
1928912fa6f797c64946cad9e0eafdb4139d59600675901bc7cba1fc5a403a1d80d0012020-01-20 12:04:280.25ko소고기무국1대접25.019.94431.198870.045975-49.11.239550.3260.02.95129.8310.59.860251.02750.1131510.049.13.600650.018.80630.60132560.732525.34753e74f9d0e59d4b319dc0f6860b7534eb.png510[47:48][162:164]49.12
2929012fa6f797c64946cad9e0eafdb4139d59600675901bc7cba1fc5a403a1d80d0012020-01-20 12:04:280.25ko"두부지짐양념장"1접시21.026.26250.75495-49.10.01.9240.28150.00.080.01.02512.884.20.308449.12.00.250.016.24060.3596251702.6759.4510[47:48][162:164]49.12
3929112fa6f797c64946cad9e0eafdb4139d59600675901bc7cba1fc5a403a1d80d0012020-01-20 12:04:280.25ko양배추찜1접시16.011.00.9750.64355-49.10.40.098550.00.080.01.1758.2511.250.17512.549.12.654650.013.02320.324225379.543132.9673e74f9d0e59d4b319dc0f6860b7534eb.png510[47:48][162:164]49.12
4896412fa6f797c64946cad9e0eafdb4139d59600675901bc7cba1fc5a403a1d80d0012020-01-03 11:57:051.0ko호박나물1접시66.044.9753.541251.4627-49.10.85410.49280.00.0235.5391.423514.3121.80.2070520.049.16.00.057.44411.0957626.305262.91501edf75d8e00478c8a1f534dad58c231.png340[47:48][162:164]49.12
5929212fa6f797c64946cad9e0eafdb4139d59600675901bc7cba1fc5a403a1d80d0012020-01-20 12:04:280.25ko마늘쫑장아찌1종지3.755.251.150.519375-49.10.07350.00150.00.052.8750.4251.00.250.0228755.549.10.250.02.493750.1522524.18759.48753e74f9d0e59d4b319dc0f6860b7534eb.png510[47:48][162:164]49.12
6929412fa6f797c64946cad9e0eafdb4139d59600675901bc7cba1fc5a403a1d80d0022020-01-20 19:18:110.25ko시금치나물1접시19.010.74370.8753630.001175-49.10.7837750.0979750.00.070.79150.58587512.082548.10.50093828.7549.18.976650.016.23210.553375598.279273.439a5f3a184eaaf4c53affba2231b15c3a6.png510[47:48][162:164]49.12
7896512fa6f797c64946cad9e0eafdb4139d59600675901bc7cba1fc5a403a1d80d0012020-01-03 11:57:051.0ko고등어구이1토막72.0126.00.00.0-49.114.142.7720.057.4388.470.018.67.01.12216.049.10.70.047.6731.9070.00.001edf75d8e00478c8a1f534dad58c231.png340[47:48][162:164]49.12
8929512fa6f797c64946cad9e0eafdb4139d59600675901bc7cba1fc5a403a1d80d0022020-01-20 19:18:110.25ko콩나물무침1접시18.759.51.50.5-49.10.5750.050.00.0100.00.00.00.00.00.049.10.00.00.00.00.00.0a5f3a184eaaf4c53affba2231b15c3a6.png510[47:48][162:164]49.12
9896612fa6f797c64946cad9e0eafdb4139d59600675901bc7cba1fc5a403a1d80d0012020-01-03 11:57:051.0ko훈제오리요리1접시250.0797.012.00.3-49.143.015.9850.0171.01220.01.338.00.04.30.049.148.00.041.33812.0692126.3843.1401edf75d8e00478c8a1f534dad58c231.png340[47:48][162:164]49.12
928712fa6f797c64946cad9e0eafdb4139d59600675901bc7cba1fc5a403a1d80d0012020-01-20 12:04:280.25ko배추김치1접시10.02.50.440.0-49.10.140.0.10.0.20.22523.20.0.36.44.250.084.7549.10.70.0.49.280.120.0.50.0.63e74f9d0e59d4b319dc0f6860b7534eb.png510[47:48][162:164]49.1.12
1899495bd8e4b1bb7de14c9a3ddf9e26a1c855d023e269562ebf27c6b86c2cd670aea2902020-01-31 07:55:431.0ko삶은계란1개50.071.51.0950.085-50.06.971.360.0223.070.00.026.069.50.88520.050.00.00.037.50.456083.52911.50c3b2c0c16194189b3e20ba3366f0d49.png391[20:21][159:161]50.02
1909384bd8e4b1bb7de14c9a3ddf9e26a1c855d023e269562ebf27c6b86c2cd670aea2902020-01-06 07:56:271.0ko고구마(찐것)1개130.0169.040.690.0-50.01.950.00.00.03.04.920.860.01.322.050.025.00.085.81.560.00.089bc96a7f72748a6abffb6f25d4c2a6a.png141[20:21][159:161]50.02
1919496bd8e4b1bb7de14c9a3ddf9e26a1c855d023e269562ebf27c6b86c2cd670aea2912020-01-31 11:44:041.0ko제육볶음1접시100.0191.010.376.98-50.013.213.330.043.0277.02.937.032.01.9290.050.04.31980.084.28422.341611889.15956.3640497f18b1764832a5f96c62bbcb0c77.png391[20:21][159:161]50.02
1929497bd8e4b1bb7de14c9a3ddf9e26a1c855d023e269562ebf27c6b86c2cd670aea2912020-01-31 11:44:041.0ko배추된장국1대접100.037.625.66720.2739-50.03.0010.01760.01.9759.412.440.6162.01.542338.050.09.92470.083.7312.8939257.25107.5940497f18b1764832a5f96c62bbcb0c77.png391[20:21][159:161]50.02
1939385bd8e4b1bb7de14c9a3ddf9e26a1c855d023e269562ebf27c6b86c2cd670aea2902020-01-06 07:56:271.0ko맛있는 두유 GT 검은콩 깨 칼슘1팩190.0135.015.08.5-50.05.01.40.00.0160.00.00.00.00.00.050.00.00.00.00.00.00.089bc96a7f72748a6abffb6f25d4c2a6a.png141[20:21][159:161]50.02
1949498bd8e4b1bb7de14c9a3ddf9e26a1c855d023e269562ebf27c6b86c2cd670aea2912020-01-31 11:44:041.0ko갈치조림1접시100.097.05.31.9-50.011.01.0050.043.6486.01.68358.00.00.60.050.00.00.097.03712.464651286.99544.3540497f18b1764832a5f96c62bbcb0c77.png391[20:21][159:161]50.02
1959386bd8e4b1bb7de14c9a3ddf9e26a1c855d023e269562ebf27c6b86c2cd670aea2912020-01-06 12:03:481.0ko흑미밥1공기210.0330.071.00.0-50.06.50.30.00.0170.00.00.00.00.00.050.00.00.00.00.00.00.0bfc8ee4dc2ec496c9d7ae7a8b5bc8576.png141[20:21][159:161]50.02
1969499bd8e4b1bb7de14c9a3ddf9e26a1c855d023e269562ebf27c6b86c2cd670aea2912020-01-31 11:44:041.0ko깍두기1접시40.015.23.0161.42-50.00.5720.0160.00.0200.41.7216.424.00.13215.050.08.00.035.560.776370.8136.040497f18b1764832a5f96c62bbcb0c77.png391[20:21][159:161]50.02
1979387bd8e4b1bb7de14c9a3ddf9e26a1c855d023e269562ebf27c6b86c2cd670aea2912020-01-06 12:03:481.0ko양배추찜1접시64.044.03.92.5742-50.01.60.39420.00.0320.04.733.045.00.750.050.010.61860.052.0931.29691518.17531.87bfc8ee4dc2ec496c9d7ae7a8b5bc8576.png141[20:21][159:161]50.02
1989388bd8e4b1bb7de14c9a3ddf9e26a1c855d023e269562ebf27c6b86c2cd670aea2912020-01-06 12:03:481.0ko배추김치1접시40.010.01.760.0-50.00.560.00.00.992.80.025.617.00.3219.050.02.80.037.120.480.00.0bfc8ee4dc2ec496c9d7ae7a8b5bc8576.png141[20:21][159:161]50.02