Overview

Dataset statistics

Number of variables36
Number of observations199
Missing cells199
Missing cells (%)2.8%
Duplicate rows1
Duplicate rows (%)0.5%
Total size in memory61.5 KiB
Average record size in memory316.7 B

Variable types

Numeric22
Categorical10
Unsupported1
DateTime1
Text2

Alerts

1.1 has constant value ""Constant
Dataset has 1 (0.5%) duplicate rowsDuplicates
0.0.4 is highly imbalanced (95.4%)Imbalance
Unnamed: 2 has 199 (100.0%) missing valuesMissing
Unnamed: 2 is an unsupported type, check if it needs cleaning or further analysisUnsupported
1 has 35 (17.6%) zerosZeros
623.0 has 2 (1.0%) zerosZeros
122.7 has 7 (3.5%) zerosZeros
27.0 has 47 (23.6%) zerosZeros
19.8 has 9 (4.5%) zerosZeros
1.898 has 47 (23.6%) zerosZeros
0.0 has 194 (97.5%) zerosZeros
75.4 has 110 (55.3%) zerosZeros
1667.0 has 10 (5.0%) zerosZeros
28.1 has 69 (34.7%) zerosZeros
105.0 has 59 (29.6%) zerosZeros
0.0.1 has 72 (36.2%) zerosZeros
34.1 has 59 (29.6%) zerosZeros
0.0.2 has 91 (45.7%) zerosZeros
0.0.3 has 94 (47.2%) zerosZeros
141.5294 has 81 (40.7%) zerosZeros
6.8655 has 78 (39.2%) zerosZeros
20428.795 has 101 (50.8%) zerosZeros

Reproduction

Analysis started2023-12-10 06:27:08.819640
Analysis finished2023-12-10 06:27:09.516589
Duration0.7 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

10455824
Real number (ℝ)

Distinct98
Distinct (%)49.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10460600
Minimum10416986
Maximum10522271
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:27:09.759532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10416986
5-th percentile10420566
Q110431142
median10457065
Q310492861
95-th percentile10511315
Maximum10522271
Range105285
Interquartile range (IQR)61718.5

Descriptive statistics

Standard deviation31320.993
Coefficient of variation (CV)0.0029941869
Kurtosis-1.2310488
Mean10460600
Median Absolute Deviation (MAD)29086
Skewness0.32072002
Sum2.0816595 × 109
Variance9.810046 × 108
MonotonicityNot monotonic
2023-12-10T15:27:10.012520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10494490 8
 
4.0%
10456284 7
 
3.5%
10497281 7
 
3.5%
10426234 5
 
2.5%
10459330 5
 
2.5%
10484416 4
 
2.0%
10466436 4
 
2.0%
10431941 4
 
2.0%
10427452 4
 
2.0%
10432885 4
 
2.0%
Other values (88) 147
73.9%
ValueCountFrequency (%)
10416986 2
1.0%
10417186 1
 
0.5%
10417559 1
 
0.5%
10418465 2
1.0%
10419506 1
 
0.5%
10419587 3
1.5%
10420675 2
1.0%
10421774 2
1.0%
10422901 2
1.0%
10423764 4
2.0%
ValueCountFrequency (%)
10522271 1
0.5%
10520442 1
0.5%
10520438 1
0.5%
10519658 2
1.0%
10518587 1
0.5%
10518278 1
0.5%
10516162 1
0.5%
10513279 1
0.5%
10512314 1
0.5%
10511204 1
0.5%

5b5f56386f39ba9ae51b963d257e7f27bf8daf5bb9852e591406583ed04b4e43
Categorical

Distinct4
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
a7d5613a9b91e83c5ad1277f3c17cb9aa2438a9a153a863aa6a423e8fc79eb14
69 
c49d21fc4ea12bd51c426d61b6abeac46122d88cf504e8c39012702f85a9cdf6
56 
bb63c9b784d9b3e7e313788e38815bc79dec880dee079986313c1cb9e660c1c2
40 
5b5f56386f39ba9ae51b963d257e7f27bf8daf5bb9852e591406583ed04b4e43
34 

Length

Max length64
Median length64
Mean length64
Min length64

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row5b5f56386f39ba9ae51b963d257e7f27bf8daf5bb9852e591406583ed04b4e43
2nd row5b5f56386f39ba9ae51b963d257e7f27bf8daf5bb9852e591406583ed04b4e43
3rd row5b5f56386f39ba9ae51b963d257e7f27bf8daf5bb9852e591406583ed04b4e43
4th row5b5f56386f39ba9ae51b963d257e7f27bf8daf5bb9852e591406583ed04b4e43
5th row5b5f56386f39ba9ae51b963d257e7f27bf8daf5bb9852e591406583ed04b4e43

Common Values

ValueCountFrequency (%)
a7d5613a9b91e83c5ad1277f3c17cb9aa2438a9a153a863aa6a423e8fc79eb14 69
34.7%
c49d21fc4ea12bd51c426d61b6abeac46122d88cf504e8c39012702f85a9cdf6 56
28.1%
bb63c9b784d9b3e7e313788e38815bc79dec880dee079986313c1cb9e660c1c2 40
20.1%
5b5f56386f39ba9ae51b963d257e7f27bf8daf5bb9852e591406583ed04b4e43 34
17.1%

Length

2023-12-10T15:27:10.270706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:27:10.449771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
a7d5613a9b91e83c5ad1277f3c17cb9aa2438a9a153a863aa6a423e8fc79eb14 69
34.7%
c49d21fc4ea12bd51c426d61b6abeac46122d88cf504e8c39012702f85a9cdf6 56
28.1%
bb63c9b784d9b3e7e313788e38815bc79dec880dee079986313c1cb9e660c1c2 40
20.1%
5b5f56386f39ba9ae51b963d257e7f27bf8daf5bb9852e591406583ed04b4e43 34
17.1%

Unnamed: 2
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing199
Missing (%)100.0%
Memory size1.9 KiB

1
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.5075377
Minimum0
Maximum5
Zeros35
Zeros (%)17.6%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:27:10.634039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q32
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.2982869
Coefficient of variation (CV)0.861197
Kurtosis1.2815379
Mean1.5075377
Median Absolute Deviation (MAD)1
Skewness1.2841793
Sum300
Variance1.685549
MonotonicityNot monotonic
2023-12-10T15:27:10.799702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 90
45.2%
2 45
22.6%
0 35
 
17.6%
5 12
 
6.0%
4 9
 
4.5%
3 8
 
4.0%
ValueCountFrequency (%)
0 35
 
17.6%
1 90
45.2%
2 45
22.6%
3 8
 
4.0%
4 9
 
4.5%
5 12
 
6.0%
ValueCountFrequency (%)
5 12
 
6.0%
4 9
 
4.5%
3 8
 
4.0%
2 45
22.6%
1 90
45.2%
0 35
 
17.6%

2020-01-13 15:58:12
Date

Distinct98
Distinct (%)49.2%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
Minimum2020-01-04 15:28:15
Maximum2020-01-31 19:51:05
2023-12-10T15:27:10.997241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:27:11.591547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

1.0
Real number (ℝ)

Distinct13
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.79333668
Minimum0.1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:27:11.791068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile0.25
Q10.5
median1
Q31
95-th percentile1
Maximum2
Range1.9
Interquartile range (IQR)0.5

Descriptive statistics

Standard deviation0.32793205
Coefficient of variation (CV)0.41335798
Kurtosis0.55364821
Mean0.79333668
Median Absolute Deviation (MAD)0
Skewness-0.19408726
Sum157.874
Variance0.10753943
MonotonicityNot monotonic
2023-12-10T15:27:11.978042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
1.0 121
60.8%
0.5 35
 
17.6%
0.25 28
 
14.1%
0.75 5
 
2.5%
2.0 2
 
1.0%
1.5 1
 
0.5%
0.735294 1
 
0.5%
0.133 1
 
0.5%
0.6785 1
 
0.5%
0.164706 1
 
0.5%
Other values (3) 3
 
1.5%
ValueCountFrequency (%)
0.1 1
 
0.5%
0.133 1
 
0.5%
0.164706 1
 
0.5%
0.25 28
14.1%
0.4825 1
 
0.5%
0.5 35
17.6%
0.6785 1
 
0.5%
0.735294 1
 
0.5%
0.75 5
 
2.5%
0.83 1
 
0.5%
ValueCountFrequency (%)
2.0 2
 
1.0%
1.5 1
 
0.5%
1.0 121
60.8%
0.83 1
 
0.5%
0.75 5
 
2.5%
0.735294 1
 
0.5%
0.6785 1
 
0.5%
0.5 35
 
17.6%
0.4825 1
 
0.5%
0.25 28
 
14.1%

ko
Categorical

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
ko
159 
KR
40 

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 159
79.9%
KR 40
 
20.1%

Length

2023-12-10T15:27:12.199221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:27:12.364701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
ko 159
79.9%
kr 40
 
20.1%

비빔냉면
Text

Distinct128
Distinct (%)64.3%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2023-12-10T15:27:12.759103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length22
Mean length6.6884422
Min length1

Characters and Unicode

Total characters1331
Distinct characters235
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

Unique93 ?
Unique (%)46.7%

Sample

1st row후렌치파이 그레이프
2nd row달걀(생것)
3rd row다래
4th row가나마일드
5th row"두부지짐
ValueCountFrequency (%)
허벌라이프 22
 
7.1%
쉐이크 22
 
7.1%
믹스 22
 
7.1%
뉴트리셔널 22
 
7.1%
초코렛맛 14
 
4.5%
쿠키앤크림맛 8
 
2.6%
쌀밥 7
 
2.3%
김치볶음밥 5
 
1.6%
닭가슴살구이 4
 
1.3%
바나나 4
 
1.3%
Other values (138) 179
57.9%
2023-12-10T15:27:13.389319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
110
 
8.3%
이 69
 
5.2%
크 35
 
2.6%
스 32
 
2.4%
리 31
 
2.3%
밥 26
 
2.0%
라 26
 
2.0%
트 26
 
2.0%
프 24
 
1.8%
널 23
 
1.7%
Other values (225) 929
69.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1180
88.7%
Space Separator 110
 
8.3%
Open Punctuation 12
 
0.9%
Close Punctuation 10
 
0.8%
Decimal Number 10
 
0.8%
Other Punctuation 5
 
0.4%
Lowercase Letter 4
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 69
 
5.8%
크 35
 
3.0%
스 32
 
2.7%
리 31
 
2.6%
밥 26
 
2.2%
라 26
 
2.2%
트 26
 
2.2%
프 24
 
2.0%
널 23
 
1.9%
믹 22
 
1.9%
Other values (214) 866
73.4%
Decimal Number
ValueCountFrequency (%)
0 4
40.0%
1 2
20.0%
5 2
20.0%
6 2
20.0%
Other Punctuation
ValueCountFrequency (%)
" 3
60.0%
% 2
40.0%
Lowercase Letter
ValueCountFrequency (%)
l 2
50.0%
m 2
50.0%
Space Separator
ValueCountFrequency (%)
110
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1180
88.7%
Common 147
 
11.0%
Latin 4
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 69
 
5.8%
크 35
 
3.0%
스 32
 
2.7%
리 31
 
2.6%
밥 26
 
2.2%
라 26
 
2.2%
트 26
 
2.2%
프 24
 
2.0%
널 23
 
1.9%
믹 22
 
1.9%
Other values (214) 866
73.4%
Common
ValueCountFrequency (%)
110
74.8%
( 12
 
8.2%
) 10
 
6.8%
0 4
 
2.7%
" 3
 
2.0%
1 2
 
1.4%
5 2
 
1.4%
6 2
 
1.4%
% 2
 
1.4%
Latin
ValueCountFrequency (%)
l 2
50.0%
m 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1180
88.7%
ASCII 151
 
11.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
110
72.8%
( 12
 
7.9%
) 10
 
6.6%
0 4
 
2.6%
" 3
 
2.0%
l 2
 
1.3%
m 2
 
1.3%
1 2
 
1.3%
5 2
 
1.3%
6 2
 
1.3%
Hangul
ValueCountFrequency (%)
이 69
 
5.8%
크 35
 
3.0%
스 32
 
2.7%
리 31
 
2.6%
밥 26
 
2.2%
라 26
 
2.2%
트 26
 
2.2%
프 24
 
2.0%
널 23
 
1.9%
믹 22
 
1.9%
Other values (214) 866
73.4%

1인분
Categorical

Distinct38
Distinct (%)19.1%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
1접시
44 
1개
33 
1인분
27 
1회제공량(2스푼)
22 
1공기
14 
Other values (33)
59 

Length

Max length10
Median length3
Mean length4.1155779
Min length2

Unique

Unique21 ?
Unique (%)10.6%

Sample

1st row1봉지
2nd row1개
3rd row1개
4th row1개
5th row 양념장"

Common Values

ValueCountFrequency (%)
1접시 44
22.1%
1개 33
16.6%
1인분 27
13.6%
1회제공량(2스푼) 22
11.1%
1공기 14
 
7.0%
1컵 9
 
4.5%
1대접 5
 
2.5%
1인분(1/3개) 4
 
2.0%
1인분(6개) 3
 
1.5%
1줄 3
 
1.5%
Other values (28) 35
17.6%

Length

2023-12-10T15:27:13.638102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
1접시 44
22.1%
1개 33
16.6%
1인분 27
13.6%
1회제공량(2스푼 22
11.1%
1공기 14
 
7.0%
1컵 9
 
4.5%
1대접 5
 
2.5%
1인분(1/3개 4
 
2.0%
1인분(6개 3
 
1.5%
1줄 3
 
1.5%
Other values (28) 35
17.6%

550.0
Text

Distinct79
Distinct (%)39.7%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2023-12-10T15:27:14.069476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length4
Mean length4.8241206
Min length3

Characters and Unicode

Total characters960
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

Unique44 ?
Unique (%)22.1%

Sample

1st row13.0
2nd row75.0
3rd row100.0
4th row24.999995470046997
5th row1접시
ValueCountFrequency (%)
25.0 21
 
10.6%
100.0 15
 
7.5%
50.0 9
 
4.5%
200.0 9
 
4.5%
300.0 8
 
4.0%
210.0 7
 
3.5%
70.0 6
 
3.0%
105.0 5
 
2.5%
40.0 5
 
2.5%
150.0 5
 
2.5%
Other values (69) 109
54.8%
2023-12-10T15:27:14.772431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 316
32.9%
. 196
20.4%
5 101
 
10.5%
2 85
 
8.9%
1 74
 
7.7%
3 44
 
4.6%
9 35
 
3.6%
4 29
 
3.0%
6 28
 
2.9%
7 27
 
2.8%
Other values (3) 25
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 758
79.0%
Other Punctuation 196
 
20.4%
Other Letter 6
 
0.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 316
41.7%
5 101
 
13.3%
2 85
 
11.2%
1 74
 
9.8%
3 44
 
5.8%
9 35
 
4.6%
4 29
 
3.8%
6 28
 
3.7%
7 27
 
3.6%
8 19
 
2.5%
Other Letter
ValueCountFrequency (%)
접 3
50.0%
시 3
50.0%
Other Punctuation
ValueCountFrequency (%)
. 196
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 954
99.4%
Hangul 6
 
0.6%

Most frequent character per script

Common
ValueCountFrequency (%)
0 316
33.1%
. 196
20.5%
5 101
 
10.6%
2 85
 
8.9%
1 74
 
7.8%
3 44
 
4.6%
9 35
 
3.7%
4 29
 
3.0%
6 28
 
2.9%
7 27
 
2.8%
Hangul
ValueCountFrequency (%)
접 3
50.0%
시 3
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 954
99.4%
Hangul 6
 
0.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 316
33.1%
. 196
20.5%
5 101
 
10.6%
2 85
 
8.9%
1 74
 
7.8%
3 44
 
4.6%
9 35
 
3.7%
4 29
 
3.0%
6 28
 
2.9%
7 27
 
2.8%
Hangul
ValueCountFrequency (%)
접 3
50.0%
시 3
50.0%

623.0
Real number (ℝ)

ZEROS 

Distinct133
Distinct (%)66.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.16525
Minimum0
Maximum542
Zeros2
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:27:15.032012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7.8
Q145
median90
Q3177.26
95-th percentile400.5
Maximum542
Range542
Interquartile range (IQR)132.26

Descriptive statistics

Standard deviation119.96004
Coefficient of variation (CV)0.94333981
Kurtosis1.1281708
Mean127.16525
Median Absolute Deviation (MAD)55.42
Skewness1.3639566
Sum25305.884
Variance14390.411
MonotonicityNot monotonic
2023-12-10T15:27:15.325453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
90.0 17
 
8.5%
326.7 6
 
3.0%
45.0 6
 
3.0%
436.0 5
 
2.5%
74.0 4
 
2.0%
110.0 3
 
1.5%
10.0 3
 
1.5%
63.58 3
 
1.5%
116.965 2
 
1.0%
24.0 2
 
1.0%
Other values (123) 148
74.4%
ValueCountFrequency (%)
0.0 2
1.0%
2.0 2
1.0%
2.1 1
0.5%
3.0 1
0.5%
4.0 1
0.5%
5.2 1
0.5%
6.0 2
1.0%
8.0 1
0.5%
8.07625 1
0.5%
8.5225 1
0.5%
ValueCountFrequency (%)
542.0 1
 
0.5%
500.0 1
 
0.5%
440.0 1
 
0.5%
436.0 5
2.5%
425.0 1
 
0.5%
405.0 1
 
0.5%
400.0 1
 
0.5%
384.97 1
 
0.5%
382.0 1
 
0.5%
368.0 2
 
1.0%

122.7
Real number (ℝ)

ZEROS 

Distinct124
Distinct (%)62.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.818185
Minimum0
Maximum105.05
Zeros7
Zeros (%)3.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:27:15.585793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.46871
Q12.75
median10.37
Q322.674
95-th percentile71.055
Maximum105.05
Range105.05
Interquartile range (IQR)19.924

Descriptive statistics

Standard deviation21.495443
Coefficient of variation (CV)1.2063767
Kurtosis2.8856122
Mean17.818185
Median Absolute Deviation (MAD)8.262
Skewness1.8051576
Sum3545.8187
Variance462.05409
MonotonicityNot monotonic
2023-12-10T15:27:15.884845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11.0 16
 
8.0%
0.0 7
 
3.5%
71.55 6
 
3.0%
69.9 5
 
2.5%
10.0 5
 
2.5%
0.6 5
 
2.5%
2.0 4
 
2.0%
5.5 3
 
1.5%
21.0 3
 
1.5%
12.0 3
 
1.5%
Other values (114) 142
71.4%
ValueCountFrequency (%)
0.0 7
3.5%
0.25 1
 
0.5%
0.40535 1
 
0.5%
0.4346 1
 
0.5%
0.4725 1
 
0.5%
0.53375 2
 
1.0%
0.6 5
2.5%
0.7600000113248825 1
 
0.5%
0.8 1
 
0.5%
0.8605875 1
 
0.5%
ValueCountFrequency (%)
105.05 1
 
0.5%
102.0 1
 
0.5%
80.0 1
 
0.5%
72.2 1
 
0.5%
71.55 6
3.0%
71.0 1
 
0.5%
69.9 5
2.5%
60.48 1
 
0.5%
55.8294675 1
 
0.5%
53.0 1
 
0.5%

-3.9
Categorical

Distinct4
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
-3.7
69 
-4.3
56 
-1.3
40 
-3.9
34 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row-3.9
2nd row-3.9
3rd row-3.9
4th row-3.9
5th row-3.9

Common Values

ValueCountFrequency (%)
-3.7 69
34.7%
-4.3 56
28.1%
-1.3 40
20.1%
-3.9 34
17.1%

Length

2023-12-10T15:27:16.119628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:27:16.348178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3.7 69
34.7%
4.3 56
28.1%
1.3 40
20.1%
3.9 34
17.1%

27.0
Real number (ℝ)

ZEROS 

Distinct101
Distinct (%)50.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.8655144
Minimum0
Maximum32
Zeros47
Zeros (%)23.6%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:27:16.566915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.0318375
median1.745
Q36
95-th percentile14
Maximum32
Range32
Interquartile range (IQR)5.9681625

Descriptive statistics

Standard deviation5.5476076
Coefficient of variation (CV)1.4351538
Kurtosis8.4228791
Mean3.8655144
Median Absolute Deviation (MAD)1.745
Skewness2.5848891
Sum769.23736
Variance30.77595
MonotonicityNot monotonic
2023-12-10T15:27:16.820034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 47
23.6%
8.0 17
 
8.5%
3.0 5
 
2.5%
2.46 5
 
2.5%
4.0 4
 
2.0%
1.6935 3
 
1.5%
6.0 3
 
1.5%
0.238 3
 
1.5%
0.62 2
 
1.0%
0.8 2
 
1.0%
Other values (91) 108
54.3%
ValueCountFrequency (%)
0.0 47
23.6%
0.00235 1
 
0.5%
0.0047 1
 
0.5%
0.0275 1
 
0.5%
0.036175 1
 
0.5%
0.0825 1
 
0.5%
0.11 2
 
1.0%
0.1200000017881393 1
 
0.5%
0.165 1
 
0.5%
0.1965 1
 
0.5%
ValueCountFrequency (%)
32.0 1
0.5%
30.0 1
0.5%
28.4 1
0.5%
27.0 1
0.5%
24.0 1
0.5%
19.0 1
0.5%
16.0 1
0.5%
14.4 2
1.0%
14.0 2
1.0%
13.3133 2
1.0%

19.8
Real number (ℝ)

ZEROS 

Distinct116
Distinct (%)58.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.5783853
Minimum0
Maximum43
Zeros9
Zeros (%)4.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:27:17.080238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.095
Q11
median3.3025
Q37.94
95-th percentile15.6
Maximum43
Range43
Interquartile range (IQR)6.94

Descriptive statistics

Standard deviation6.8357239
Coefficient of variation (CV)1.2253947
Kurtosis10.075063
Mean5.5783853
Median Absolute Deviation (MAD)2.6275
Skewness2.7458696
Sum1110.0987
Variance46.727121
MonotonicityNot monotonic
2023-12-10T15:27:17.370230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10.0 17
 
8.5%
1.0 9
 
4.5%
0.0 9
 
4.5%
5.76 6
 
3.0%
11.6 5
 
2.5%
15.6 4
 
2.0%
5.0 4
 
2.0%
2.0 4
 
2.0%
0.85 3
 
1.5%
0.6 3
 
1.5%
Other values (106) 135
67.8%
ValueCountFrequency (%)
0.0 9
4.5%
0.05 1
 
0.5%
0.1 3
 
1.5%
0.15 2
 
1.0%
0.1925 1
 
0.5%
0.25025 2
 
1.0%
0.2712 1
 
0.5%
0.3 3
 
1.5%
0.386 1
 
0.5%
0.4941180199384689 1
 
0.5%
ValueCountFrequency (%)
43.0 1
 
0.5%
38.1 2
1.0%
32.400000000000006 1
 
0.5%
30.5172 1
 
0.5%
26.0 1
 
0.5%
22.58 1
 
0.5%
16.1 1
 
0.5%
15.6 4
2.0%
15.2 1
 
0.5%
13.7 1
 
0.5%

1.898
Real number (ℝ)

ZEROS 

Distinct113
Distinct (%)56.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.2797172
Minimum0
Maximum12.4
Zeros47
Zeros (%)23.6%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:27:17.580149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.004
median0.3303
Q31.745
95-th percentile5.2323521
Maximum12.4
Range12.4
Interquartile range (IQR)1.741

Descriptive statistics

Standard deviation1.992793
Coefficient of variation (CV)1.5572136
Kurtosis7.3635963
Mean1.2797172
Median Absolute Deviation (MAD)0.3303
Skewness2.4372161
Sum254.66373
Variance3.971224
MonotonicityNot monotonic
2023-12-10T15:27:17.790011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 47
 
23.6%
0.126 6
 
3.0%
2.196 5
 
2.5%
3.0 4
 
2.0%
0.455 4
 
2.0%
6.0 3
 
1.5%
1.0914 3
 
1.5%
0.1 3
 
1.5%
2.5 3
 
1.5%
0.6 2
 
1.0%
Other values (103) 119
59.8%
ValueCountFrequency (%)
0.0 47
23.6%
0.0005 1
 
0.5%
0.003 1
 
0.5%
0.004 2
 
1.0%
0.005 2
 
1.0%
0.008 1
 
0.5%
0.01 2
 
1.0%
0.0135 2
 
1.0%
0.0147 2
 
1.0%
0.015 1
 
0.5%
ValueCountFrequency (%)
12.4 1
 
0.5%
10.0 1
 
0.5%
8.238 1
 
0.5%
7.7 1
 
0.5%
7.696 1
 
0.5%
7.0 1
 
0.5%
6.32025 1
 
0.5%
6.0 3
1.5%
5.147057890892029 1
 
0.5%
4.949 1
 
0.5%

0.0
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.018477387
Minimum0
Maximum1.233
Zeros194
Zeros (%)97.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:27:18.003993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1.233
Range1.233
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.13030166
Coefficient of variation (CV)7.051953
Kurtosis66.273202
Mean0.018477387
Median Absolute Deviation (MAD)0
Skewness7.9528584
Sum3.677
Variance0.016978523
MonotonicityNot monotonic
2023-12-10T15:27:18.179366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0.0 194
97.5%
1.126 1
 
0.5%
0.468 1
 
0.5%
0.6 1
 
0.5%
0.25 1
 
0.5%
1.233 1
 
0.5%
ValueCountFrequency (%)
0.0 194
97.5%
0.25 1
 
0.5%
0.468 1
 
0.5%
0.6 1
 
0.5%
1.126 1
 
0.5%
1.233 1
 
0.5%
ValueCountFrequency (%)
1.233 1
 
0.5%
1.126 1
 
0.5%
0.6 1
 
0.5%
0.468 1
 
0.5%
0.25 1
 
0.5%
0.0 194
97.5%

75.4
Real number (ℝ)

ZEROS 

Distinct69
Distinct (%)34.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.719745
Minimum0
Maximum246.6225
Zeros110
Zeros (%)55.3%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:27:18.465316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q314
95-th percentile128.56
Maximum246.6225
Range246.6225
Interquartile range (IQR)14

Descriptive statistics

Standard deviation44.558522
Coefficient of variation (CV)2.3802953
Kurtosis10.237689
Mean18.719745
Median Absolute Deviation (MAD)0
Skewness3.2146762
Sum3725.2293
Variance1985.4619
MonotonicityNot monotonic
2023-12-10T15:27:18.719994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 110
55.3%
17.6 5
 
2.5%
38.3 4
 
2.0%
2.5 3
 
1.5%
0.1 3
 
1.5%
1.25 3
 
1.5%
14.0 2
 
1.0%
1.7 2
 
1.0%
40.0 2
 
1.0%
154.8 2
 
1.0%
Other values (59) 63
31.7%
ValueCountFrequency (%)
0.0 110
55.3%
0.1 3
 
1.5%
0.6650000065565109 1
 
0.5%
0.9 2
 
1.0%
1.0 1
 
0.5%
1.25 3
 
1.5%
1.7 2
 
1.0%
2.5 3
 
1.5%
3.676469922065735 1
 
0.5%
3.9 1
 
0.5%
ValueCountFrequency (%)
246.6225 1
0.5%
222.0 1
0.5%
210.0 1
0.5%
198.2 1
0.5%
186.15 1
0.5%
184.8 1
0.5%
164.415 1
0.5%
154.8 2
1.0%
130.0 1
0.5%
128.4 1
0.5%

1667.0
Real number (ℝ)

ZEROS 

Distinct123
Distinct (%)61.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean224.84807
Minimum0
Maximum2365.44
Zeros10
Zeros (%)5.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:27:18.941001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.108
Q110.85
median110
Q3250.421
95-th percentile1023
Maximum2365.44
Range2365.44
Interquartile range (IQR)239.571

Descriptive statistics

Standard deviation356.88962
Coefficient of variation (CV)1.5872479
Kurtosis10.729681
Mean224.84807
Median Absolute Deviation (MAD)100
Skewness2.9714548
Sum44744.765
Variance127370.2
MonotonicityNot monotonic
2023-12-10T15:27:19.159079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
160.0 18
 
9.0%
0.0 10
 
5.0%
80.0 7
 
3.5%
7.2 6
 
3.0%
2.0 5
 
2.5%
185.0 5
 
2.5%
22.0 4
 
2.0%
10.0 3
 
1.5%
1.0 3
 
1.5%
2.38 3
 
1.5%
Other values (113) 135
67.8%
ValueCountFrequency (%)
0.0 10
5.0%
0.12 2
 
1.0%
0.25 2
 
1.0%
0.525 2
 
1.0%
1.0 3
 
1.5%
1.05 1
 
0.5%
2.0 5
2.5%
2.04 1
 
0.5%
2.1 1
 
0.5%
2.38 3
 
1.5%
ValueCountFrequency (%)
2365.44 1
0.5%
1964.0 1
0.5%
1710.0 1
0.5%
1290.0 2
1.0%
1134.0 2
1.0%
1128.0 1
0.5%
1110.0 1
0.5%
1023.0 2
1.0%
1010.0 2
1.0%
986.25 1
0.5%

28.1
Real number (ℝ)

ZEROS 

Distinct74
Distinct (%)37.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.1587559
Minimum0
Maximum320
Zeros69
Zeros (%)34.7%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:27:19.332999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.725
Q32
95-th percentile4.24
Maximum320
Range320
Interquartile range (IQR)2

Descriptive statistics

Standard deviation22.991896
Coefficient of variation (CV)7.2787822
Kurtosis184.83324
Mean3.1587559
Median Absolute Deviation (MAD)0.725
Skewness13.411005
Sum628.59243
Variance528.62729
MonotonicityNot monotonic
2023-12-10T15:27:19.605258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 69
34.7%
2.4 16
 
8.0%
0.9 7
 
3.5%
1.8 5
 
2.5%
0.3 4
 
2.0%
0.35 3
 
1.5%
2.0 3
 
1.5%
1.35 3
 
1.5%
0.625 3
 
1.5%
1.2 3
 
1.5%
Other values (64) 83
41.7%
ValueCountFrequency (%)
0.0 69
34.7%
0.05 1
 
0.5%
0.053 1
 
0.5%
0.1 1
 
0.5%
0.15 2
 
1.0%
0.2 1
 
0.5%
0.203 2
 
1.0%
0.275 1
 
0.5%
0.3 4
 
2.0%
0.315 1
 
0.5%
ValueCountFrequency (%)
320.0 1
0.5%
55.0 1
0.5%
19.8 1
0.5%
14.0 1
0.5%
8.4 1
0.5%
8.2 1
0.5%
6.3 1
0.5%
5.0 1
0.5%
4.9 1
0.5%
4.6 1
0.5%

105.0
Real number (ℝ)

ZEROS 

Distinct83
Distinct (%)41.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30.221822
Minimum0
Maximum258.94
Zeros59
Zeros (%)29.6%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:27:19.866579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median6.37
Q347.0665
95-th percentile105
Maximum258.94
Range258.94
Interquartile range (IQR)47.0665

Descriptive statistics

Standard deviation44.696818
Coefficient of variation (CV)1.4789584
Kurtosis4.7946587
Mean30.221822
Median Absolute Deviation (MAD)6.37
Skewness2.0369684
Sum6014.1425
Variance1997.8056
MonotonicityNot monotonic
2023-12-10T15:27:20.483175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 59
29.6%
105.0 16
 
8.0%
6.3 7
 
3.5%
67.0 5
 
2.5%
24.0 5
 
2.5%
1.0 4
 
2.0%
52.5 4
 
2.0%
3.15 4
 
2.0%
3.06 3
 
1.5%
9.0 2
 
1.0%
Other values (73) 90
45.2%
ValueCountFrequency (%)
0.0 59
29.6%
0.84 2
 
1.0%
1.0 4
 
2.0%
1.5 1
 
0.5%
1.5925 2
 
1.0%
2.0 2
 
1.0%
2.491 1
 
0.5%
3.0 1
 
0.5%
3.06 3
 
1.5%
3.15 4
 
2.0%
ValueCountFrequency (%)
258.94 1
 
0.5%
208.8 1
 
0.5%
180.0 2
 
1.0%
152.0 1
 
0.5%
143.75 1
 
0.5%
134.64 1
 
0.5%
114.0 2
 
1.0%
105.0 16
8.0%
100.527 1
 
0.5%
88.25 1
 
0.5%

0.0.1
Real number (ℝ)

ZEROS 

Distinct71
Distinct (%)35.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30.115979
Minimum0
Maximum285.57
Zeros72
Zeros (%)36.2%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:27:20.946943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5.5
Q336.5125
95-th percentile150
Maximum285.57
Range285.57
Interquartile range (IQR)36.5125

Descriptive statistics

Standard deviation50.155522
Coefficient of variation (CV)1.6654123
Kurtosis4.3452819
Mean30.115979
Median Absolute Deviation (MAD)5.5
Skewness2.1239991
Sum5993.0798
Variance2515.5764
MonotonicityNot monotonic
2023-12-10T15:27:21.246649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 72
36.2%
150.0 16
 
8.0%
11.0 7
 
3.5%
2.0 5
 
2.5%
53.0 5
 
2.5%
8.0 5
 
2.5%
4.0 5
 
2.5%
5.5 4
 
2.0%
75.0 3
 
1.5%
28.56 3
 
1.5%
Other values (61) 74
37.2%
ValueCountFrequency (%)
0.0 72
36.2%
1.5 2
 
1.0%
1.75 1
 
0.5%
2.0 5
 
2.5%
2.5 1
 
0.5%
3.0 2
 
1.0%
3.1375 1
 
0.5%
3.15 1
 
0.5%
3.1875 1
 
0.5%
3.5 1
 
0.5%
ValueCountFrequency (%)
285.57 1
 
0.5%
179.6 2
 
1.0%
150.0 16
8.0%
130.0 1
 
0.5%
124.0 1
 
0.5%
112.5 2
 
1.0%
98.0 1
 
0.5%
96.2 1
 
0.5%
88.87 1
 
0.5%
75.75 1
 
0.5%

34.1
Real number (ℝ)

ZEROS 

Distinct78
Distinct (%)39.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.4702069
Minimum0
Maximum54.6
Zeros59
Zeros (%)29.6%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:27:21.478744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.4
Q31.2936
95-th percentile3.782
Maximum54.6
Range54.6
Interquartile range (IQR)1.2936

Descriptive statistics

Standard deviation4.4079742
Coefficient of variation (CV)2.9981999
Kurtosis108.33059
Mean1.4702069
Median Absolute Deviation (MAD)0.4
Skewness9.4241307
Sum292.57118
Variance19.430237
MonotonicityNot monotonic
2023-12-10T15:27:21.720212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 59
29.6%
3.75 16
 
8.0%
0.5 9
 
4.5%
2.1 7
 
3.5%
1.17 6
 
3.0%
0.1 6
 
3.0%
0.7 5
 
2.5%
0.6 4
 
2.0%
1.875 3
 
1.5%
0.238 3
 
1.5%
Other values (68) 81
40.7%
ValueCountFrequency (%)
0.0 59
29.6%
0.028 1
 
0.5%
0.05 2
 
1.0%
0.0875 1
 
0.5%
0.1 6
 
3.0%
0.125 2
 
1.0%
0.132725 1
 
0.5%
0.15 2
 
1.0%
0.180175 1
 
0.5%
0.1825 1
 
0.5%
ValueCountFrequency (%)
54.6 1
0.5%
16.8 1
0.5%
15.2 1
0.5%
10.65 1
0.5%
9.8 1
0.5%
9.45825 1
0.5%
7.4 1
0.5%
4.2 2
1.0%
3.8 1
0.5%
3.78 1
0.5%

61.0
Real number (ℝ)

Distinct16
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean66.563819
Minimum45
Maximum84.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:27:21.914343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum45
5-th percentile45
Q161
median64.5
Q382.4
95-th percentile84.5
Maximum84.5
Range39.5
Interquartile range (IQR)21.4

Descriptive statistics

Standard deviation14.076845
Coefficient of variation (CV)0.21147893
Kurtosis-1.1713648
Mean66.563819
Median Absolute Deviation (MAD)17.9
Skewness-0.13887067
Sum13246.2
Variance198.15757
MonotonicityNot monotonic
2023-12-10T15:27:22.150958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
61.0 34
17.1%
45.0 34
17.1%
82.4 28
14.1%
84.5 19
9.5%
83.7 18
9.0%
64.7 13
 
6.5%
64.2 12
 
6.0%
65.4 12
 
6.0%
64.5 7
 
3.5%
45.4 6
 
3.0%
Other values (6) 16
8.0%
ValueCountFrequency (%)
45.0 34
17.1%
45.4 6
 
3.0%
61.0 34
17.1%
63.7 3
 
1.5%
63.8 2
 
1.0%
64.1 2
 
1.0%
64.2 12
 
6.0%
64.5 7
 
3.5%
64.6 3
 
1.5%
64.7 13
 
6.5%
ValueCountFrequency (%)
84.5 19
9.5%
83.7 18
9.0%
82.7 4
 
2.0%
82.4 28
14.1%
65.6 2
 
1.0%
65.4 12
6.0%
64.7 13
6.5%
64.6 3
 
1.5%
64.5 7
 
3.5%
64.2 12
6.0%

0.0.2
Real number (ℝ)

ZEROS 

Distinct60
Distinct (%)30.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean45.548204
Minimum0
Maximum336
Zeros91
Zeros (%)45.7%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:27:22.417196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q364.5
95-th percentile225
Maximum336
Range336
Interquartile range (IQR)64.5

Descriptive statistics

Standard deviation77.977147
Coefficient of variation (CV)1.7119697
Kurtosis1.6680025
Mean45.548204
Median Absolute Deviation (MAD)1
Skewness1.6879956
Sum9064.0926
Variance6080.4355
MonotonicityNot monotonic
2023-12-10T15:27:22.645530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 91
45.7%
225.0 16
 
8.0%
1.0 6
 
3.0%
16.0 6
 
3.0%
167.0 5
 
2.5%
0.5 4
 
2.0%
112.5 3
 
1.5%
3.0 3
 
1.5%
9.0 3
 
1.5%
1.25 3
 
1.5%
Other values (50) 59
29.6%
ValueCountFrequency (%)
0.0 91
45.7%
0.2 1
 
0.5%
0.25 1
 
0.5%
0.5 4
 
2.0%
1.0 6
 
3.0%
1.2336 1
 
0.5%
1.25 3
 
1.5%
2.0 2
 
1.0%
2.25 2
 
1.0%
2.5 1
 
0.5%
ValueCountFrequency (%)
336.0 1
 
0.5%
290.0 1
 
0.5%
255.0 1
 
0.5%
244.0 1
 
0.5%
225.0 16
8.0%
180.75 1
 
0.5%
168.75 2
 
1.0%
167.0 5
 
2.5%
127.5 1
 
0.5%
120.5 1
 
0.5%

0.0.3
Real number (ℝ)

ZEROS 

Distinct63
Distinct (%)31.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.511124
Minimum0
Maximum175.44
Zeros94
Zeros (%)47.2%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:27:22.871876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.168
Q35.664
95-th percentile30
Maximum175.44
Range175.44
Interquartile range (IQR)5.664

Descriptive statistics

Standard deviation16.271849
Coefficient of variation (CV)2.4990845
Kurtosis61.158066
Mean6.511124
Median Absolute Deviation (MAD)0.168
Skewness6.6329517
Sum1295.7137
Variance264.77308
MonotonicityNot monotonic
2023-12-10T15:27:23.137197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 94
47.2%
30.0 16
 
8.0%
8.0 6
 
3.0%
5.338 3
 
1.5%
5.1 3
 
1.5%
7.5 3
 
1.5%
15.0 3
 
1.5%
35.0 2
 
1.0%
5.664 2
 
1.0%
1.96875 2
 
1.0%
Other values (53) 65
32.7%
ValueCountFrequency (%)
0.0 94
47.2%
0.000395 1
 
0.5%
0.0034 1
 
0.5%
0.0395 1
 
0.5%
0.06 1
 
0.5%
0.079 1
 
0.5%
0.168 1
 
0.5%
0.175 1
 
0.5%
0.2 1
 
0.5%
0.25 2
 
1.0%
ValueCountFrequency (%)
175.44 1
 
0.5%
87.72 1
 
0.5%
35.0 2
 
1.0%
30.0 16
8.0%
25.713 1
 
0.5%
22.5 2
 
1.0%
20.0 1
 
0.5%
17.9533 1
 
0.5%
17.7202 1
 
0.5%
15.0 3
 
1.5%

0.0.4
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
0
198 
1
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.5%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row1

Common Values

ValueCountFrequency (%)
0 198
99.5%
1 1
 
0.5%

Length

2023-12-10T15:27:23.388111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:27:23.556604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 198
99.5%
1 1
 
0.5%

141.5294
Real number (ℝ)

ZEROS 

Distinct88
Distinct (%)44.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32.923404
Minimum0
Maximum356.592
Zeros81
Zeros (%)40.7%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:27:23.802536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median12.06
Q346.2119
95-th percentile148.17581
Maximum356.592
Range356.592
Interquartile range (IQR)46.2119

Descriptive statistics

Standard deviation51.823287
Coefficient of variation (CV)1.5740562
Kurtosis9.7148558
Mean32.923404
Median Absolute Deviation (MAD)12.06
Skewness2.6659656
Sum6551.7574
Variance2685.653
MonotonicityNot monotonic
2023-12-10T15:27:24.071657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 81
40.7%
12.06 6
 
3.0%
121.3905 5
 
2.5%
59.63604 4
 
2.0%
24.242 3
 
1.5%
38.0956 2
 
1.0%
37.12 2
 
1.0%
8.04 2
 
1.0%
19.38 2
 
1.0%
34.4 2
 
1.0%
Other values (78) 90
45.2%
ValueCountFrequency (%)
0.0 81
40.7%
0.1159 1
 
0.5%
2.184 2
 
1.0%
2.592 2
 
1.0%
4.206375 1
 
0.5%
4.5 1
 
0.5%
5.9725 1
 
0.5%
6.03 1
 
0.5%
6.705 1
 
0.5%
8.04 2
 
1.0%
ValueCountFrequency (%)
356.592 1
 
0.5%
263.2 1
 
0.5%
194.94 1
 
0.5%
178.5395 1
 
0.5%
178.296 1
 
0.5%
174.8 2
 
1.0%
169.02 1
 
0.5%
150.6581 2
 
1.0%
147.9 1
 
0.5%
121.3905 5
2.5%

6.8655
Real number (ℝ)

ZEROS 

Distinct87
Distinct (%)43.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.1787113
Minimum0
Maximum64.9624
Zeros78
Zeros (%)39.2%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:27:24.378777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.357
Q30.964
95-th percentile2.4029425
Maximum64.9624
Range64.9624
Interquartile range (IQR)0.964

Descriptive statistics

Standard deviation5.1659489
Coefficient of variation (CV)4.3827093
Kurtosis122.27207
Mean1.1787113
Median Absolute Deviation (MAD)0.357
Skewness10.476704
Sum234.56355
Variance26.687028
MonotonicityNot monotonic
2023-12-10T15:27:24.626975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 78
39.2%
0.36 7
 
3.5%
1.6734 5
 
2.5%
1.85082 4
 
2.0%
0.442 3
 
1.5%
0.7 3
 
1.5%
0.105 3
 
1.5%
0.521775 2
 
1.0%
0.44 2
 
1.0%
0.587775 2
 
1.0%
Other values (77) 90
45.2%
ValueCountFrequency (%)
0.0 78
39.2%
0.012 2
 
1.0%
0.025 1
 
0.5%
0.08925 2
 
1.0%
0.105 3
 
1.5%
0.1729 2
 
1.0%
0.1785 1
 
0.5%
0.18 1
 
0.5%
0.23 1
 
0.5%
0.24 2
 
1.0%
ValueCountFrequency (%)
64.9624 1
0.5%
28.305 1
0.5%
15.84 1
0.5%
9.3938 1
0.5%
4.471 2
1.0%
3.6033375 1
0.5%
3.4388 1
0.5%
2.55038 1
0.5%
2.4094 1
0.5%
2.402225 1
0.5%

20428.795
Real number (ℝ)

ZEROS 

Distinct75
Distinct (%)37.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1480.8571
Minimum0
Maximum27028.22
Zeros101
Zeros (%)50.8%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:27:24.876032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31009.425
95-th percentile6834.3325
Maximum27028.22
Range27028.22
Interquartile range (IQR)1009.425

Descriptive statistics

Standard deviation3362.0142
Coefficient of variation (CV)2.2703165
Kurtosis19.798898
Mean1480.8571
Median Absolute Deviation (MAD)0
Skewness3.8503522
Sum294690.55
Variance11303140
MonotonicityNot monotonic
2023-12-10T15:27:25.134024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 101
50.8%
5421.92 5
 
2.5%
13813.56 4
 
2.0%
725.56 3
 
1.5%
470.65 3
 
1.5%
955.75 2
 
1.0%
207.7075 2
 
1.0%
600.8 2
 
1.0%
575.235 2
 
1.0%
229.655 2
 
1.0%
Other values (65) 73
36.7%
ValueCountFrequency (%)
0.0 101
50.8%
0.1 1
 
0.5%
0.105 1
 
0.5%
0.205 1
 
0.5%
0.29475 1
 
0.5%
0.531 1
 
0.5%
1.4385 1
 
0.5%
35.4 1
 
0.5%
94.5 2
 
1.0%
116.55 2
 
1.0%
ValueCountFrequency (%)
27028.22 1
 
0.5%
13813.56 4
2.0%
12917.1565 1
 
0.5%
11889.134 1
 
0.5%
9383.25 1
 
0.5%
7969.738 1
 
0.5%
7773.55 1
 
0.5%
6729.975 1
 
0.5%
6584.65 1
 
0.5%
6255.5 2
1.0%

9
Real number (ℝ)

Distinct31
Distinct (%)15.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.286432
Minimum4
Maximum84
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:27:25.417117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile6
Q110
median32
Q369.5
95-th percentile78
Maximum84
Range80
Interquartile range (IQR)59.5

Descriptive statistics

Standard deviation28.495142
Coefficient of variation (CV)0.78528364
Kurtosis-1.5517717
Mean36.286432
Median Absolute Deviation (MAD)24
Skewness0.40268442
Sum7221
Variance811.9731
MonotonicityNot monotonic
2023-12-10T15:27:25.639450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
33 17
 
8.5%
11 14
 
7.0%
9 13
 
6.5%
12 13
 
6.5%
6 12
 
6.0%
69 11
 
5.5%
7 10
 
5.0%
10 8
 
4.0%
70 8
 
4.0%
35 7
 
3.5%
Other values (21) 86
43.2%
ValueCountFrequency (%)
4 2
 
1.0%
5 3
 
1.5%
6 12
6.0%
7 10
5.0%
8 5
 
2.5%
9 13
6.5%
10 8
4.0%
11 14
7.0%
12 13
6.5%
13 2
 
1.0%
ValueCountFrequency (%)
84 4
2.0%
82 4
2.0%
78 4
2.0%
76 6
3.0%
75 6
3.0%
74 4
2.0%
73 4
2.0%
72 3
 
1.5%
71 7
3.5%
70 8
4.0%

1.1
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
1
199 

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 (%)
1 199
100.0%

Length

2023-12-10T15:27:25.908295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:27:26.097252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 199
100.0%

[16:17]
Categorical

Distinct4
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
[24:25]
69 
[12:13]
56 
[28:29]
40 
[16:17]
34 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row[16:17]
2nd row[16:17]
3rd row[16:17]
4th row[16:17]
5th row[16:17]

Common Values

ValueCountFrequency (%)
[24:25] 69
34.7%
[12:13] 56
28.1%
[28:29] 40
20.1%
[16:17] 34
17.1%

Length

2023-12-10T15:27:26.251004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:27:26.418888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
24:25 69
34.7%
12:13 56
28.1%
28:29 40
20.1%
16:17 34
17.1%

[162:167]
Categorical

Distinct4
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
[168:173]
69 
[144:149]
56 
[150:155]
40 
[162:167]
34 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row[162:167]
2nd row[162:167]
3rd row[162:167]
4th row[162:167]
5th row[162:167]

Common Values

ValueCountFrequency (%)
[168:173] 69
34.7%
[144:149] 56
28.1%
[150:155] 40
20.1%
[162:167] 34
17.1%

Length

2023-12-10T15:27:26.615185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:27:26.791274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
168:173 69
34.7%
144:149 56
28.1%
150:155 40
20.1%
162:167 34
17.1%

64.5
Categorical

Distinct4
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
76.7
69 
71.2
56 
45.8
40 
64.5
34 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row64.5
2nd row64.5
3rd row64.5
4th row64.5
5th row64.5

Common Values

ValueCountFrequency (%)
76.7 69
34.7%
71.2 56
28.1%
45.8 40
20.1%
64.5 34
17.1%

Length

2023-12-10T15:27:26.970435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:27:27.141743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
76.7 69
34.7%
71.2 56
28.1%
45.8 40
20.1%
64.5 34
17.1%

0
Categorical

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2
125 
0
74 

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 (%)
2 125
62.8%
0 74
37.2%

Length

2023-12-10T15:27:27.332920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:27:27.582110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 125
62.8%
0 74
37.2%

Sample

104558245b5f56386f39ba9ae51b963d257e7f27bf8daf5bb9852e591406583ed04b4e43Unnamed: 212020-01-13 15:58:121.0ko비빔냉면1인분550.0623.0122.7-3.927.019.81.8980.075.41667.028.1105.00.0.134.161.00.0.20.0.30.0.4141.52946.865520428.79591.1[16:17][162:167]64.50
0104558245b5f56386f39ba9ae51b963d257e7f27bf8daf5bb9852e591406583ed04b4e43<NA>12020-01-13 15:58:121.0ko후렌치파이 그레이프1봉지13.060.08.0-3.94.01.01.30.00.030.00.00.00.00.061.00.00.000.00.00.091[16:17][162:167]64.50
1104558245b5f56386f39ba9ae51b963d257e7f27bf8daf5bb9852e591406583ed04b4e43<NA>12020-01-13 15:58:121.5ko달걀(생것)1개75.0102.02.5575-3.90.1659.331.920.0246.622598.250.039.060.751.3561.00.00.0056.9250.669383.2591[16:17][162:167]64.50
2104558245b5f56386f39ba9ae51b963d257e7f27bf8daf5bb9852e591406583ed04b4e43<NA>12020-01-13 15:58:121.0ko다래1개100.067.016.2-3.90.01.60.00.00.02.00.057.00.00.561.00.035.0081.10.70.091[16:17][162:167]64.50
3104558335b5f56386f39ba9ae51b963d257e7f27bf8daf5bb9852e591406583ed04b4e43<NA>52020-01-13 16:00:290.735294ko가나마일드1개24.999995470046997136.02938713.970586-3.913.2352922.2058825.1470580.03.6764718.382350.00.00.00.061.00.00.000.00.00.091[16:17][162:167]64.50
4104562845b5f56386f39ba9ae51b963d257e7f27bf8daf5bb9852e591406583ed04b4e43<NA>22020-01-13 17:41:121.0ko"두부지짐양념장"1접시84.0105.05-3.93.01980.07.6961.1260.00.0320.04.151.5216.861.01.23368.010.064.96241.438591[16:17][162:167]64.50
5104562845b5f56386f39ba9ae51b963d257e7f27bf8daf5bb9852e591406583ed04b4e43<NA>22020-01-13 17:41:121.0ko미역국1인분230.083.05.6-3.90.627.880.980.014.01134.00.50.00.00.061.00.00.000.00.00.091[16:17][162:167]64.50
610416986bb63c9b784d9b3e7e313788e38815bc79dec880dee079986313c1cb9e660c1c2<NA>12020-01-04 15:28:152.0KR꽃게탕1대접400.0201.2214.4546-1.33.99630.51720.36280.0128.42365.445.0258.94124.07.445.4244.025.7130263.29.393827028.22311[28:29][150:155]45.80
710484577c49d21fc4ea12bd51c426d61b6abeac46122d88cf504e8c39012702f85a9cdf6<NA>12020-01-20 12:22:140.5ko통인시장식 기름떡볶이1인분(1/4봉지)50.0125.022.0-4.32.01.50.60.00.0160.00.00.00.00.065.60.00.000.00.00.041[12:13][144:149]71.22
810416986bb63c9b784d9b3e7e313788e38815bc79dec880dee079986313c1cb9e660c1c2<NA>12020-01-04 15:28:151.0KR쌀밥1공기210.0326.771.55-1.30.05.760.1260.00.07.20.96.311.01.1745.41.00.0012.060.360.0311[28:29][150:155]45.80
910420675a7d5613a9b91e83c5ad1277f3c17cb9aa2438a9a153a863aa6a423e8fc79eb14<NA>12020-01-05 15:04:381.0ko오징어채볶음1접시35.077.9357.473-3.71.57423.7280.33030.034.538403.840.6215.244.730.36484.517.1590.0034017.2430.83852933.735671[24:25][168:173]76.72
104558245b5f56386f39ba9ae51b963d257e7f27bf8daf5bb9852e591406583ed04b4e43Unnamed: 212020-01-13 15:58:121.0ko비빔냉면1인분550.0623.0122.7-3.927.019.81.8980.075.41667.028.1105.00.0.134.161.00.0.20.0.30.0.4141.52946.865520428.79591.1[16:17][162:167]64.50
18910431644bb63c9b784d9b3e7e313788e38815bc79dec880dee079986313c1cb9e660c1c2<NA>02020-01-08 06:11:500.25KR빈츠1인분(4개)8.545.06.0-1.33.250.751.50.01.2512.50.00.00.00.045.00.00.000.00.00.0351[28:29][150:155]45.80
19010492861a7d5613a9b91e83c5ad1277f3c17cb9aa2438a9a153a863aa6a423e8fc79eb14<NA>12020-01-22 12:05:151.0ko바이오플레 사과1개140.085.017.0-3.713.03.00.60.06.0110.00.00.00.00.082.40.00.000.00.00.0841[24:25][168:173]76.72
19110431690bb63c9b784d9b3e7e313788e38815bc79dec880dee079986313c1cb9e660c1c2<NA>02020-01-08 07:08:191.0KR치즈돈까스김밥1개223.0382.053.0-1.30.012.03.00.011.01710.00.00.00.00.045.00.00.000.00.00.0351[28:29][150:155]45.80
19210492895a7d5613a9b91e83c5ad1277f3c17cb9aa2438a9a153a863aa6a423e8fc79eb14<NA>12020-01-22 12:11:171.0ko모닝빵감자샌드위치1인분(2개)110.0230.024.9435-3.74.38356.43.3240.016.9368.01.628.033.00.782.496.013.0065.811.5544199.1841[24:25][168:173]76.72
19310520442c49d21fc4ea12bd51c426d61b6abeac46122d88cf504e8c39012702f85a9cdf6<NA>42020-01-31 11:05:461.0ko허벌라이프 뉴트리셔널 쉐이크 믹스 초코렛맛1회제공량(2스푼)25.090.011.0-4.38.010.00.00.00.0160.02.4105.0150.03.7564.2225.030.000.00.00.0151[12:13][144:149]71.22
19410435214bb63c9b784d9b3e7e313788e38815bc79dec880dee079986313c1cb9e660c1c2<NA>22020-01-08 20:34:440.75KR순대국1인분600.0405.013.41195-1.31.27361332.48.2380.0184.81128.019.878.019.554.645.00.04.401525094.9488751.961851434.285351[28:29][150:155]45.80
19510522271c49d21fc4ea12bd51c426d61b6abeac46122d88cf504e8c39012702f85a9cdf6<NA>22020-01-31 19:51:051.0ko허벌라이프 뉴트리셔널 쉐이크 믹스 쿠키앤크림맛1회제공량(2스푼)25.090.011.0-4.38.010.00.00.00.0160.02.4105.0150.03.7564.2225.030.000.00.00.0151[12:13][144:149]71.22
19610435214bb63c9b784d9b3e7e313788e38815bc79dec880dee079986313c1cb9e660c1c2<NA>22020-01-08 20:34:440.5KR쌀밥1공기105.0163.3535.775-1.30.02.880.0630.00.03.60.453.155.50.58545.00.50.006.030.180.0351[28:29][150:155]45.80
19710435214bb63c9b784d9b3e7e313788e38815bc79dec880dee079986313c1cb9e660c1c2<NA>22020-01-08 20:34:440.5KR순대1인분150.0271.029.25-1.31.89.753.64950.09.6510.06.352.50.010.6545.00.00.0012.6631.10445218.59351[28:29][150:155]45.80
19810436798bb63c9b784d9b3e7e313788e38815bc79dec880dee079986313c1cb9e660c1c2<NA>12020-01-09 11:32:091.0KR참치김밥1줄250.0542.072.2-1.31.9661916.12.8690.0117.0843.03.463.61898.03.045.0336.011.00113.79753.43887969.738361[28:29][150:155]45.80

Duplicate rows

Most frequently occurring

104558245b5f56386f39ba9ae51b963d257e7f27bf8daf5bb9852e591406583ed04b4e4312020-01-13 15:58:121.0ko비빔냉면1인분550.0623.0122.7-3.927.019.81.8980.075.41667.028.1105.00.0.134.161.00.0.20.0.30.0.4141.52946.865520428.79591.1[16:17][162:167]64.50# duplicates
010468806a7d5613a9b91e83c5ad1277f3c17cb9aa2438a9a153a863aa6a423e8fc79eb1412020-01-16 12:19:551.0ko닭가슴살구이1접시45.074.00.6-3.70.015.60.4550.038.322.00.01.02.00.782.416.00.0059.636041.8508213813.56781[24:25][168:173]76.722