Overview

Dataset statistics

Number of variables36
Number of observations199
Missing cells199
Missing cells (%)2.8%
Duplicate rows3
Duplicate rows (%)1.5%
Total size in memory61.5 KiB
Average record size in memory316.7 B

Variable types

Numeric24
Categorical8
Unsupported1
DateTime1
Text2

Alerts

ko has constant value ""Constant
Dataset has 3 (1.5%) duplicate rowsDuplicates
0.0.4 is highly imbalanced (95.4%)Imbalance
1.1 is highly imbalanced (63.3%)Imbalance
[160:164] is highly imbalanced (52.7%)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 46 (23.1%) zerosZeros
163.35 has 2 (1.0%) zerosZeros
35.775 has 12 (6.0%) zerosZeros
0.0 has 53 (26.6%) zerosZeros
2.88 has 18 (9.0%) zerosZeros
0.063 has 33 (16.6%) zerosZeros
0.0.1 has 188 (94.5%) zerosZeros
0.0.2 has 122 (61.3%) zerosZeros
3.6 has 11 (5.5%) zerosZeros
0.45 has 86 (43.2%) zerosZeros
3.15 has 60 (30.2%) zerosZeros
5.5 has 78 (39.2%) zerosZeros
0.585 has 57 (28.6%) zerosZeros
0.5.1 has 103 (51.8%) zerosZeros
0.0.3 has 108 (54.3%) zerosZeros
6.03 has 69 (34.7%) zerosZeros
0.18 has 65 (32.7%) zerosZeros
0.0.5 has 98 (49.2%) zerosZeros
4 has 12 (6.0%) zerosZeros

Reproduction

Analysis started2023-12-10 06:13:50.009457
Analysis finished2023-12-10 06:13:50.741748
Duration0.73 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

10484020
Real number (ℝ)

Distinct86
Distinct (%)43.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10477427
Minimum10407500
Maximum10521404
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:13:51.199018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10407500
5-th percentile10413646
Q110442318
median10492944
Q310502861
95-th percentile10518662
Maximum10521404
Range113904
Interquartile range (IQR)60542.5

Descriptive statistics

Standard deviation35521.126
Coefficient of variation (CV)0.0033902527
Kurtosis-1.054857
Mean10477427
Median Absolute Deviation (MAD)19258
Skewness-0.66704292
Sum2.085008 × 109
Variance1.2617504 × 109
MonotonicityNot monotonic
2023-12-10T15:13:51.423588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10473686 8
 
4.0%
10432779 8
 
4.0%
10493310 7
 
3.5%
10513316 6
 
3.0%
10502861 5
 
2.5%
10518662 5
 
2.5%
10488517 5
 
2.5%
10500847 5
 
2.5%
10492944 5
 
2.5%
10473668 4
 
2.0%
Other values (76) 141
70.9%
ValueCountFrequency (%)
10407500 2
1.0%
10408886 2
1.0%
10410291 2
1.0%
10413644 3
1.5%
10413646 3
1.5%
10413656 2
1.0%
10418362 2
1.0%
10418364 2
1.0%
10418367 2
1.0%
10420472 2
1.0%
ValueCountFrequency (%)
10521404 2
 
1.0%
10521033 1
 
0.5%
10520345 2
 
1.0%
10520091 2
 
1.0%
10518662 5
2.5%
10517684 3
1.5%
10517619 2
 
1.0%
10517116 2
 
1.0%
10516340 1
 
0.5%
10516247 2
 
1.0%

e6fc604670d941315750056cea5ed040e67a88798286ee9a329357e34150acd9
Categorical

Distinct8
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
e6fc604670d941315750056cea5ed040e67a88798286ee9a329357e34150acd9
76 
31f7d397f445d069866c41b6b4d818f13631725567cc5aef02fc2d9bff10d159
40 
f58cff728f1396fb0d20c6cd566d3e5bde62b1e581f87b1b89ab2051e1874332
37 
d8085e459716d56967e29af850f63ecd179cfe40577650aa84221ecabc703832
14 
ddd95eb2b5667ea656f39b8794a65feba591c82c4b80d454992a9145dbb2ad92
12 
Other values (3)
20 

Length

Max length64
Median length64
Mean length64
Min length64

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowe6fc604670d941315750056cea5ed040e67a88798286ee9a329357e34150acd9
2nd rowe6fc604670d941315750056cea5ed040e67a88798286ee9a329357e34150acd9
3rd rowe6fc604670d941315750056cea5ed040e67a88798286ee9a329357e34150acd9
4th rowe6fc604670d941315750056cea5ed040e67a88798286ee9a329357e34150acd9
5th rowe6fc604670d941315750056cea5ed040e67a88798286ee9a329357e34150acd9

Common Values

ValueCountFrequency (%)
e6fc604670d941315750056cea5ed040e67a88798286ee9a329357e34150acd9 76
38.2%
31f7d397f445d069866c41b6b4d818f13631725567cc5aef02fc2d9bff10d159 40
20.1%
f58cff728f1396fb0d20c6cd566d3e5bde62b1e581f87b1b89ab2051e1874332 37
18.6%
d8085e459716d56967e29af850f63ecd179cfe40577650aa84221ecabc703832 14
 
7.0%
ddd95eb2b5667ea656f39b8794a65feba591c82c4b80d454992a9145dbb2ad92 12
 
6.0%
24ba283f6b55c8c777125e22a9ef53be35987f8974799220c475a7ee1fac7e40 10
 
5.0%
c3ade77f0960e618d07d69a993d7d270cb3416d609e656e69569a7a9654ca80b 8
 
4.0%
a2b7fec1b7a0ffd4d7e5cb9ad5ed2f3eb923606741bc478240450537bfcf6215 2
 
1.0%

Length

2023-12-10T15:13:51.620559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:13:51.789082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
e6fc604670d941315750056cea5ed040e67a88798286ee9a329357e34150acd9 76
38.2%
31f7d397f445d069866c41b6b4d818f13631725567cc5aef02fc2d9bff10d159 40
20.1%
f58cff728f1396fb0d20c6cd566d3e5bde62b1e581f87b1b89ab2051e1874332 37
18.6%
d8085e459716d56967e29af850f63ecd179cfe40577650aa84221ecabc703832 14
 
7.0%
ddd95eb2b5667ea656f39b8794a65feba591c82c4b80d454992a9145dbb2ad92 12
 
6.0%
24ba283f6b55c8c777125e22a9ef53be35987f8974799220c475a7ee1fac7e40 10
 
5.0%
c3ade77f0960e618d07d69a993d7d270cb3416d609e656e69569a7a9654ca80b 8
 
4.0%
a2b7fec1b7a0ffd4d7e5cb9ad5ed2f3eb923606741bc478240450537bfcf6215 2
 
1.0%

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
Maximum6
Zeros46
Zeros (%)23.1%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:13:51.988373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q32
95-th percentile5
Maximum6
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.4029887
Coefficient of variation (CV)0.93064916
Kurtosis1.4372453
Mean1.5075377
Median Absolute Deviation (MAD)1
Skewness1.3256181
Sum300
Variance1.9683772
MonotonicityNot monotonic
2023-12-10T15:13:52.135751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 69
34.7%
2 62
31.2%
0 46
23.1%
5 17
 
8.5%
4 4
 
2.0%
6 1
 
0.5%
ValueCountFrequency (%)
0 46
23.1%
1 69
34.7%
2 62
31.2%
4 4
 
2.0%
5 17
 
8.5%
6 1
 
0.5%
ValueCountFrequency (%)
6 1
 
0.5%
5 17
 
8.5%
4 4
 
2.0%
2 62
31.2%
1 69
34.7%
0 46
23.1%

2020-01-20 11:24:03
Date

Distinct86
Distinct (%)43.2%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
Minimum2020-01-01 07:16:14
Maximum2020-01-31 16:31:54
2023-12-10T15:13:52.350422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:13:52.556562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

0.5
Real number (ℝ)

Distinct12
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.0048239
Minimum0.16129
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:13:52.727843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.16129
5-th percentile0.25
Q10.75
median1
Q31
95-th percentile2
Maximum5
Range4.83871
Interquartile range (IQR)0.25

Descriptive statistics

Standard deviation0.68899227
Coefficient of variation (CV)0.68568458
Kurtosis17.78059
Mean1.0048239
Median Absolute Deviation (MAD)0
Skewness3.829878
Sum199.95996
Variance0.47471034
MonotonicityNot monotonic
2023-12-10T15:13:52.890465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
1.0 131
65.8%
0.5 28
 
14.1%
0.25 13
 
6.5%
0.75 11
 
5.5%
2.0 6
 
3.0%
4.0 3
 
1.5%
5.0 2
 
1.0%
1.21053 1
 
0.5%
4.42308 1
 
0.5%
2.10256 1
 
0.5%
Other values (2) 2
 
1.0%
ValueCountFrequency (%)
0.16129 1
 
0.5%
0.25 13
 
6.5%
0.5 28
 
14.1%
0.75 11
 
5.5%
1.0 131
65.8%
1.21053 1
 
0.5%
1.5625 1
 
0.5%
2.0 6
 
3.0%
2.10256 1
 
0.5%
4.0 3
 
1.5%
ValueCountFrequency (%)
5.0 2
 
1.0%
4.42308 1
 
0.5%
4.0 3
 
1.5%
2.10256 1
 
0.5%
2.0 6
 
3.0%
1.5625 1
 
0.5%
1.21053 1
 
0.5%
1.0 131
65.8%
0.75 11
 
5.5%
0.5 28
 
14.1%

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

2023-12-10T15:13:53.066866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:13:53.206266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
ko 199
100.0%

쌀밥
Text

Distinct129
Distinct (%)64.8%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2023-12-10T15:13:53.499454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length15
Mean length5.4974874
Min length1

Characters and Unicode

Total characters1094
Distinct characters259
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
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 row콩나물국
2nd row초코우유
3rd row귤
4th row신라면
5th row삼겹살구이
ValueCountFrequency (%)
쌀밥 14
 
5.4%
오리지널 9
 
3.5%
케이스페셜 7
 
2.7%
우유 7
 
2.7%
켈로그 7
 
2.7%
채소샐러드 5
 
1.9%
귤 4
 
1.5%
맛있는 4
 
1.5%
gt 4
 
1.5%
사과 4
 
1.5%
Other values (149) 195
75.0%
2023-12-10T15:13:54.082208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
64
 
5.9%
이 35
 
3.2%
스 31
 
2.8%
밥 27
 
2.5%
리 20
 
1.8%
드 18
 
1.6%
닭 17
 
1.6%
지 17
 
1.6%
치 16
 
1.5%
( 16
 
1.5%
Other values (249) 833
76.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 967
88.4%
Space Separator 66
 
6.0%
Open Punctuation 16
 
1.5%
Close Punctuation 12
 
1.1%
Uppercase Letter 12
 
1.1%
Decimal Number 11
 
1.0%
Other Punctuation 9
 
0.8%
Lowercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 35
 
3.6%
스 31
 
3.2%
밥 27
 
2.8%
리 20
 
2.1%
드 18
 
1.9%
닭 17
 
1.8%
지 17
 
1.8%
치 16
 
1.7%
고 16
 
1.7%
토 15
 
1.6%
Other values (230) 755
78.1%
Uppercase Letter
ValueCountFrequency (%)
T 5
41.7%
G 4
33.3%
H 1
 
8.3%
O 1
 
8.3%
L 1
 
8.3%
Decimal Number
ValueCountFrequency (%)
9 4
36.4%
0 2
18.2%
1 2
18.2%
5 2
18.2%
8 1
 
9.1%
Other Punctuation
ValueCountFrequency (%)
" 5
55.6%
. 2
 
22.2%
& 1
 
11.1%
% 1
 
11.1%
Space Separator
ValueCountFrequency (%)
64
97.0%
  2
 
3.0%
Open Punctuation
ValueCountFrequency (%)
( 16
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%
Lowercase Letter
ValueCountFrequency (%)
g 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 967
88.4%
Common 114
 
10.4%
Latin 13
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 35
 
3.6%
스 31
 
3.2%
밥 27
 
2.8%
리 20
 
2.1%
드 18
 
1.9%
닭 17
 
1.8%
지 17
 
1.8%
치 16
 
1.7%
고 16
 
1.7%
토 15
 
1.6%
Other values (230) 755
78.1%
Common
ValueCountFrequency (%)
64
56.1%
( 16
 
14.0%
) 12
 
10.5%
" 5
 
4.4%
9 4
 
3.5%
0 2
 
1.8%
. 2
 
1.8%
1 2
 
1.8%
  2
 
1.8%
5 2
 
1.8%
Other values (3) 3
 
2.6%
Latin
ValueCountFrequency (%)
T 5
38.5%
G 4
30.8%
g 1
 
7.7%
H 1
 
7.7%
O 1
 
7.7%
L 1
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 967
88.4%
ASCII 125
 
11.4%
None 2
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
64
51.2%
( 16
 
12.8%
) 12
 
9.6%
T 5
 
4.0%
" 5
 
4.0%
G 4
 
3.2%
9 4
 
3.2%
0 2
 
1.6%
. 2
 
1.6%
1 2
 
1.6%
Other values (8) 9
 
7.2%
Hangul
ValueCountFrequency (%)
이 35
 
3.6%
스 31
 
3.2%
밥 27
 
2.8%
리 20
 
2.1%
드 18
 
1.9%
닭 17
 
1.8%
지 17
 
1.8%
치 16
 
1.7%
고 16
 
1.7%
토 15
 
1.6%
Other values (230) 755
78.1%
None
ValueCountFrequency (%)
  2
100.0%

1공기
Categorical

Distinct30
Distinct (%)15.1%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
1접시
41 
1개
36 
1인분
21 
1공기
20 
1컵
18 
Other values (25)
63 

Length

Max length12
Median length3
Mean length3.1658291
Min length2

Unique

Unique10 ?
Unique (%)5.0%

Sample

1st row1대접
2nd row1컵
3rd row1개
4th row1봉지
5th row1접시

Common Values

ValueCountFrequency (%)
1접시 41
20.6%
1개 36
18.1%
1인분 21
10.6%
1공기 20
10.1%
1컵 18
9.0%
1회제공량 7
 
3.5%
1종지 6
 
3.0%
1팩 6
 
3.0%
1큰술 5
 
2.5%
1잔 5
 
2.5%
Other values (20) 34
17.1%

Length

2023-12-10T15:13:54.346236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
1접시 41
20.6%
1개 36
18.1%
1인분 21
10.6%
1공기 20
10.1%
1컵 18
9.0%
1회제공량 7
 
3.5%
1종지 6
 
3.0%
1팩 6
 
3.0%
1큰술 5
 
2.5%
1잔 5
 
2.5%
Other values (20) 34
17.1%

105.0
Text

Distinct90
Distinct (%)45.2%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2023-12-10T15:13:54.672428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length5
Mean length4.8241206
Min length2

Characters and Unicode

Total characters960
Distinct characters18
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

Unique55 ?
Unique (%)27.6%

Sample

1st row100.0
2nd row200.0
3rd row100.0
4th row120.0
5th row45.0
ValueCountFrequency (%)
200.0 21
 
10.6%
400.0 8
 
4.0%
100.0 7
 
3.5%
40.0 7
 
3.5%
150.0 7
 
3.5%
10.0 6
 
3.0%
105.0 6
 
3.0%
157.5 6
 
3.0%
210.0 5
 
2.5%
50.0 5
 
2.5%
Other values (80) 121
60.8%
2023-12-10T15:13:55.245916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 342
35.6%
. 194
20.2%
1 88
 
9.2%
2 86
 
9.0%
5 79
 
8.2%
4 37
 
3.9%
3 29
 
3.0%
9 26
 
2.7%
8 23
 
2.4%
7 21
 
2.2%
Other values (8) 35
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 749
78.0%
Other Punctuation 194
 
20.2%
Other Letter 13
 
1.4%
Open Punctuation 2
 
0.2%
Close Punctuation 2
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 342
45.7%
1 88
 
11.7%
2 86
 
11.5%
5 79
 
10.5%
4 37
 
4.9%
3 29
 
3.9%
9 26
 
3.5%
8 23
 
3.1%
7 21
 
2.8%
6 18
 
2.4%
Other Letter
ValueCountFrequency (%)
접 4
30.8%
시 4
30.8%
조 2
15.4%
각 2
15.4%
개 1
 
7.7%
Other Punctuation
ValueCountFrequency (%)
. 194
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 947
98.6%
Hangul 13
 
1.4%

Most frequent character per script

Common
ValueCountFrequency (%)
0 342
36.1%
. 194
20.5%
1 88
 
9.3%
2 86
 
9.1%
5 79
 
8.3%
4 37
 
3.9%
3 29
 
3.1%
9 26
 
2.7%
8 23
 
2.4%
7 21
 
2.2%
Other values (3) 22
 
2.3%
Hangul
ValueCountFrequency (%)
접 4
30.8%
시 4
30.8%
조 2
15.4%
각 2
15.4%
개 1
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 947
98.6%
Hangul 13
 
1.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 342
36.1%
. 194
20.5%
1 88
 
9.3%
2 86
 
9.1%
5 79
 
8.3%
4 37
 
3.9%
3 29
 
3.1%
9 26
 
2.7%
8 23
 
2.4%
7 21
 
2.2%
Other values (3) 22
 
2.3%
Hangul
ValueCountFrequency (%)
접 4
30.8%
시 4
30.8%
조 2
15.4%
각 2
15.4%
개 1
 
7.7%

163.35
Real number (ℝ)

ZEROS 

Distinct141
Distinct (%)70.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean164.22284
Minimum0
Maximum918
Zeros2
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:13:55.480138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q154.75
median122
Q3222
95-th percentile500
Maximum918
Range918
Interquartile range (IQR)167.25

Descriptive statistics

Standard deviation154.00047
Coefficient of variation (CV)0.93775306
Kurtosis3.6393001
Mean164.22284
Median Absolute Deviation (MAD)77
Skewness1.7216145
Sum32680.345
Variance23716.144
MonotonicityNot monotonic
2023-12-10T15:13:55.695772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
152.0 7
 
3.5%
163.35 5
 
2.5%
245.025 4
 
2.0%
160.0 4
 
2.0%
145.0 4
 
2.0%
326.7 4
 
2.0%
87.214 4
 
2.0%
106.0 3
 
1.5%
110.0 3
 
1.5%
5.0 3
 
1.5%
Other values (131) 158
79.4%
ValueCountFrequency (%)
0.0 2
1.0%
1.5 1
 
0.5%
2.0 1
 
0.5%
2.5 1
 
0.5%
3.0 2
1.0%
3.8 1
 
0.5%
5.0 3
1.5%
5.2 1
 
0.5%
8.0 1
 
0.5%
8.4 2
1.0%
ValueCountFrequency (%)
918.0 1
 
0.5%
690.0004749298096 1
 
0.5%
653.4 1
 
0.5%
624.92 1
 
0.5%
610.0 1
 
0.5%
547.0 1
 
0.5%
540.0 1
 
0.5%
530.0 1
 
0.5%
500.0 3
1.5%
493.0 1
 
0.5%

35.775
Real number (ℝ)

ZEROS 

Distinct137
Distinct (%)68.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.257164
Minimum0
Maximum168
Zeros12
Zeros (%)6.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:13:55.917176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12.54835
median12.2784
Q335.775
95-th percentile79.4
Maximum168
Range168
Interquartile range (IQR)33.22665

Descriptive statistics

Standard deviation28.267404
Coefficient of variation (CV)1.1653219
Kurtosis4.182709
Mean24.257164
Median Absolute Deviation (MAD)11.3984
Skewness1.79444
Sum4827.1756
Variance799.04615
MonotonicityNot monotonic
2023-12-10T15:13:56.124997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 12
 
6.0%
31.6 7
 
3.5%
35.775 5
 
2.5%
2.0 5
 
2.5%
71.55 4
 
2.0%
9.6403 4
 
2.0%
42.0 4
 
2.0%
9.0 3
 
1.5%
13.6 3
 
1.5%
79.0 3
 
1.5%
Other values (127) 149
74.9%
ValueCountFrequency (%)
0.0 12
6.0%
0.0728224371895194 1
 
0.5%
0.112875 1
 
0.5%
0.14 1
 
0.5%
0.225 1
 
0.5%
0.25 1
 
0.5%
0.375 1
 
0.5%
0.44 1
 
0.5%
0.4515 1
 
0.5%
0.5 1
 
0.5%
ValueCountFrequency (%)
168.0 1
 
0.5%
143.1 1
 
0.5%
110.71 1
 
0.5%
89.0 1
 
0.5%
86.0 1
 
0.5%
85.0 1
 
0.5%
84.0385193824768 1
 
0.5%
84.0 1
 
0.5%
83.0 2
1.0%
79.0 3
1.5%

9.7
Real number (ℝ)

Distinct8
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.328643
Minimum3.8
Maximum42.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:13:56.309240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.8
5-th percentile5
Q17.7
median8
Q39.7
95-th percentile42.4
Maximum42.4
Range38.6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation8.2630144
Coefficient of variation (CV)0.80000967
Kurtosis11.153096
Mean10.328643
Median Absolute Deviation (MAD)1.7
Skewness3.5392686
Sum2055.4
Variance68.277408
MonotonicityNot monotonic
2023-12-10T15:13:56.463947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
9.7 76
38.2%
7.7 40
20.1%
8.0 37
18.6%
7.3 14
 
7.0%
42.4 12
 
6.0%
5.0 10
 
5.0%
5.7 8
 
4.0%
3.8 2
 
1.0%
ValueCountFrequency (%)
3.8 2
 
1.0%
5.0 10
 
5.0%
5.7 8
 
4.0%
7.3 14
 
7.0%
7.7 40
20.1%
8.0 37
18.6%
9.7 76
38.2%
42.4 12
 
6.0%
ValueCountFrequency (%)
42.4 12
 
6.0%
9.7 76
38.2%
8.0 37
18.6%
7.7 40
20.1%
7.3 14
 
7.0%
5.7 8
 
4.0%
5.0 10
 
5.0%
3.8 2
 
1.0%

0.0
Real number (ℝ)

ZEROS 

Distinct105
Distinct (%)52.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.6374815
Minimum0
Maximum44.56
Zeros53
Zeros (%)26.6%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:13:56.663972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.2
Q36.3755
95-th percentile21.903955
Maximum44.56
Range44.56
Interquartile range (IQR)6.3755

Descriptive statistics

Standard deviation7.31347
Coefficient of variation (CV)1.5770349
Kurtosis6.1434493
Mean4.6374815
Median Absolute Deviation (MAD)1.2
Skewness2.3191388
Sum922.85882
Variance53.486844
MonotonicityNot monotonic
2023-12-10T15:13:56.853617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 53
26.6%
8.0 9
 
4.5%
9.0 5
 
2.5%
4.0 5
 
2.5%
3.0 5
 
2.5%
5.5537 4
 
2.0%
22.28 3
 
1.5%
10.0 3
 
1.5%
1.99515 3
 
1.5%
4.74 2
 
1.0%
Other values (95) 107
53.8%
ValueCountFrequency (%)
0.0 53
26.6%
0.0035483801066875 1
 
0.5%
0.0047 1
 
0.5%
0.0055 1
 
0.5%
0.0094 1
 
0.5%
0.011 1
 
0.5%
0.022 1
 
0.5%
0.05 1
 
0.5%
0.055 1
 
0.5%
0.0825 2
 
1.0%
ValueCountFrequency (%)
44.56 1
 
0.5%
34.0 1
 
0.5%
27.0 1
 
0.5%
25.35 1
 
0.5%
25.0 1
 
0.5%
24.0 1
 
0.5%
22.5 1
 
0.5%
22.28 3
1.5%
21.862172570228577 1
 
0.5%
21.0 2
1.0%

2.88
Real number (ℝ)

ZEROS 

Distinct116
Distinct (%)58.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.2603289
Minimum0
Maximum115
Zeros18
Zeros (%)9.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:13:57.029346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.3089
median3
Q37.5
95-th percentile20.006
Maximum115
Range115
Interquartile range (IQR)6.1911

Descriptive statistics

Standard deviation10.694997
Coefficient of variation (CV)1.7083762
Kurtosis56.204228
Mean6.2603289
Median Absolute Deviation (MAD)2.76
Skewness6.3045379
Sum1245.8055
Variance114.38295
MonotonicityNot monotonic
2023-12-10T15:13:57.208828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 18
 
9.0%
6.0 13
 
6.5%
2.0 9
 
4.5%
10.0 6
 
3.0%
2.88 5
 
2.5%
5.76 4
 
2.0%
1.4355 4
 
2.0%
4.0 3
 
1.5%
0.5 3
 
1.5%
1.6 3
 
1.5%
Other values (106) 131
65.8%
ValueCountFrequency (%)
0.0 18
9.0%
0.025 1
 
0.5%
0.03 1
 
0.5%
0.1 2
 
1.0%
0.14 1
 
0.5%
0.143 1
 
0.5%
0.2 2
 
1.0%
0.2695 2
 
1.0%
0.28 2
 
1.0%
0.4 3
 
1.5%
ValueCountFrequency (%)
115.0 1
0.5%
54.6 1
0.5%
44.7903 1
0.5%
31.2 1
0.5%
29.8602 1
0.5%
28.0 1
0.5%
24.4125 1
0.5%
22.0 1
0.5%
21.7 1
0.5%
20.06 1
0.5%

0.063
Real number (ℝ)

ZEROS 

Distinct119
Distinct (%)59.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.1055007
Minimum0
Maximum28.9862
Zeros33
Zeros (%)16.6%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:13:57.374777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.02
median0.5044
Q32.00725
95-th percentile9
Maximum28.9862
Range28.9862
Interquartile range (IQR)1.98725

Descriptive statistics

Standard deviation4.1679536
Coefficient of variation (CV)1.9795546
Kurtosis19.140053
Mean2.1055007
Median Absolute Deviation (MAD)0.5044
Skewness3.8837792
Sum418.99464
Variance17.371837
MonotonicityNot monotonic
2023-12-10T15:13:57.567008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 33
 
16.6%
0.063 5
 
2.5%
2.0 4
 
2.0%
0.126 4
 
2.0%
0.0147 4
 
2.0%
6.0 3
 
1.5%
5.0 3
 
1.5%
0.04 3
 
1.5%
0.776 3
 
1.5%
1.0 3
 
1.5%
Other values (109) 134
67.3%
ValueCountFrequency (%)
0.0 33
16.6%
0.0005 1
 
0.5%
0.0012 1
 
0.5%
0.003 2
 
1.0%
0.004 1
 
0.5%
0.005 2
 
1.0%
0.01 1
 
0.5%
0.0105 2
 
1.0%
0.011 1
 
0.5%
0.0147 4
 
2.0%
ValueCountFrequency (%)
28.9862 2
1.0%
21.7 1
 
0.5%
14.34 1
 
0.5%
14.153855895996095 1
 
0.5%
12.6405 2
1.0%
10.76 1
 
0.5%
10.04 1
 
0.5%
9.0 3
1.5%
8.393 1
 
0.5%
8.0 3
1.5%

0.0.1
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.050582915
Minimum0
Maximum2.496
Zeros188
Zeros (%)94.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:13:57.682226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.275
Maximum2.496
Range2.496
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.25852187
Coefficient of variation (CV)5.1108536
Kurtosis51.329087
Mean0.050582915
Median Absolute Deviation (MAD)0
Skewness6.6891218
Sum10.066
Variance0.066833557
MonotonicityNot monotonic
2023-12-10T15:13:57.819367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0.0 188
94.5%
0.5 5
 
2.5%
0.936 2
 
1.0%
2.496 1
 
0.5%
1.248 1
 
0.5%
0.25 1
 
0.5%
1.7 1
 
0.5%
ValueCountFrequency (%)
0.0 188
94.5%
0.25 1
 
0.5%
0.5 5
 
2.5%
0.936 2
 
1.0%
1.248 1
 
0.5%
1.7 1
 
0.5%
2.496 1
 
0.5%
ValueCountFrequency (%)
2.496 1
 
0.5%
1.7 1
 
0.5%
1.248 1
 
0.5%
0.936 2
 
1.0%
0.5 5
 
2.5%
0.25 1
 
0.5%
0.0 188
94.5%

0.0.2
Real number (ℝ)

ZEROS 

Distinct64
Distinct (%)32.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.563993
Minimum0
Maximum472
Zeros122
Zeros (%)61.3%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:13:57.980820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q315.25
95-th percentile111.55947
Maximum472
Range472
Interquartile range (IQR)15.25

Descriptive statistics

Standard deviation62.553758
Coefficient of variation (CV)2.7722823
Kurtosis27.604786
Mean22.563993
Median Absolute Deviation (MAD)0
Skewness4.8160917
Sum4490.2345
Variance3912.9726
MonotonicityNot monotonic
2023-12-10T15:13:58.161468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 122
61.3%
12.0 3
 
1.5%
30.0 3
 
1.5%
15.0 3
 
1.5%
1.9 2
 
1.0%
23.0 2
 
1.0%
0.45 2
 
1.0%
85.8 2
 
1.0%
20.0 2
 
1.0%
0.1 2
 
1.0%
Other values (54) 56
28.1%
ValueCountFrequency (%)
0.0 122
61.3%
0.024 1
 
0.5%
0.1 2
 
1.0%
0.225 1
 
0.5%
0.35 1
 
0.5%
0.45 2
 
1.0%
1.0 1
 
0.5%
1.9 2
 
1.0%
3.9 1
 
0.5%
5.0 2
 
1.0%
ValueCountFrequency (%)
472.0 1
0.5%
460.6 1
0.5%
299.0 1
0.5%
255.0 1
0.5%
223.0 1
0.5%
198.2 1
0.5%
164.415 1
0.5%
149.5 1
0.5%
142.8 1
0.5%
122.42 1
0.5%

3.6
Real number (ℝ)

ZEROS 

Distinct136
Distinct (%)68.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean327.96125
Minimum0
Maximum2856
Zeros11
Zeros (%)5.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:13:58.637044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q110.4
median119.5
Q3404.985
95-th percentile1690.865
Maximum2856
Range2856
Interquartile range (IQR)394.585

Descriptive statistics

Standard deviation511.72218
Coefficient of variation (CV)1.560313
Kurtosis5.9452123
Mean327.96125
Median Absolute Deviation (MAD)115.9
Skewness2.3976681
Sum65264.288
Variance261859.59
MonotonicityNot monotonic
2023-12-10T15:13:58.770382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 11
 
5.5%
160.0 8
 
4.0%
3.0 5
 
2.5%
3.6 5
 
2.5%
250.842 4
 
2.0%
100.0 4
 
2.0%
7.2 4
 
2.0%
1790.0 3
 
1.5%
5.4 3
 
1.5%
219.0 3
 
1.5%
Other values (126) 149
74.9%
ValueCountFrequency (%)
0.0 11
5.5%
0.22 1
 
0.5%
0.35 1
 
0.5%
0.75 1
 
0.5%
1.4 1
 
0.5%
1.5 1
 
0.5%
1.75 1
 
0.5%
1.8 1
 
0.5%
2.0 2
 
1.0%
2.1 1
 
0.5%
ValueCountFrequency (%)
2856.0 1
 
0.5%
2338.0 1
 
0.5%
2020.0 3
1.5%
1980.19 1
 
0.5%
1870.0 1
 
0.5%
1790.0 3
1.5%
1679.85 1
 
0.5%
1332.0 1
 
0.5%
1310.0 1
 
0.5%
1292.08 1
 
0.5%

0.45
Real number (ℝ)

ZEROS 

Distinct82
Distinct (%)41.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.789052
Minimum0
Maximum226.2
Zeros86
Zeros (%)43.2%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:13:58.912341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.45
Q32.036
95-th percentile13.2
Maximum226.2
Range226.2
Interquartile range (IQR)2.036

Descriptive statistics

Standard deviation18.405795
Coefficient of variation (CV)4.8576252
Kurtosis114.59438
Mean3.789052
Median Absolute Deviation (MAD)0.45
Skewness10.154919
Sum754.02135
Variance338.77328
MonotonicityNot monotonic
2023-12-10T15:13:59.054814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 86
43.2%
0.45 5
 
2.5%
0.9 4
 
2.0%
2.036 4
 
2.0%
5.6 3
 
1.5%
5.4 3
 
1.5%
0.675 3
 
1.5%
0.455 2
 
1.0%
5.2 2
 
1.0%
28.0 2
 
1.0%
Other values (72) 85
42.7%
ValueCountFrequency (%)
0.0 86
43.2%
0.125 1
 
0.5%
0.2 1
 
0.5%
0.225 1
 
0.5%
0.25 1
 
0.5%
0.27 1
 
0.5%
0.315 2
 
1.0%
0.375 1
 
0.5%
0.4 1
 
0.5%
0.42445 1
 
0.5%
ValueCountFrequency (%)
226.2 1
0.5%
113.1 1
0.5%
45.0 1
0.5%
28.0 2
1.0%
19.0 1
0.5%
16.8 1
0.5%
16.5 1
0.5%
14.0 1
0.5%
13.2 2
1.0%
10.8 1
0.5%

3.15
Real number (ℝ)

ZEROS 

Distinct90
Distinct (%)45.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.651202
Minimum0
Maximum900
Zeros60
Zeros (%)30.2%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:13:59.234483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median6.4
Q326
95-th percentile152.2
Maximum900
Range900
Interquartile range (IQR)26

Descriptive statistics

Standard deviation85.776918
Coefficient of variation (CV)2.5490002
Kurtosis58.700102
Mean33.651202
Median Absolute Deviation (MAD)6.4
Skewness6.7091172
Sum6696.5891
Variance7357.6797
MonotonicityNot monotonic
2023-12-10T15:13:59.366274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 60
30.2%
70.0 7
 
3.5%
3.15 7
 
3.5%
2.0 5
 
2.5%
22.752 4
 
2.0%
6.3 4
 
2.0%
8.0 4
 
2.0%
152.0 3
 
1.5%
4.725 3
 
1.5%
33.0 3
 
1.5%
Other values (80) 99
49.7%
ValueCountFrequency (%)
0.0 60
30.2%
0.595 1
 
0.5%
0.75 1
 
0.5%
1.575 1
 
0.5%
2.0 5
 
2.5%
2.0967700630426407 1
 
0.5%
2.402 1
 
0.5%
2.421060085296631 1
 
0.5%
2.45 2
 
1.0%
3.0 2
 
1.0%
ValueCountFrequency (%)
900.0 1
 
0.5%
550.0 1
 
0.5%
270.0 1
 
0.5%
190.0 3
1.5%
182.0 1
 
0.5%
180.0 2
1.0%
154.0 1
 
0.5%
152.0 3
1.5%
150.05325 1
 
0.5%
135.0 1
 
0.5%

5.5
Real number (ℝ)

ZEROS 

Distinct79
Distinct (%)39.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.954632
Minimum0
Maximum285
Zeros78
Zeros (%)39.2%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:13:59.544843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5.5
Q320.125
95-th percentile100
Maximum285
Range285
Interquartile range (IQR)20.125

Descriptive statistics

Standard deviation34.112
Coefficient of variation (CV)1.7996657
Kurtosis19.568766
Mean18.954632
Median Absolute Deviation (MAD)5.5
Skewness3.5851155
Sum3771.9717
Variance1163.6285
MonotonicityNot monotonic
2023-12-10T15:13:59.712152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 78
39.2%
100.0 7
 
3.5%
6.0 7
 
3.5%
5.5 5
 
2.5%
11.0 4
 
2.0%
4.0 4
 
2.0%
13.15 4
 
2.0%
13.0 3
 
1.5%
11.1 3
 
1.5%
8.25 3
 
1.5%
Other values (69) 81
40.7%
ValueCountFrequency (%)
0.0 78
39.2%
1.0 1
 
0.5%
1.405 1
 
0.5%
1.9758025594055653 1
 
0.5%
2.25 1
 
0.5%
2.75 1
 
0.5%
3.0 1
 
0.5%
3.0625 1
 
0.5%
3.15 2
 
1.0%
4.0 4
 
2.0%
ValueCountFrequency (%)
285.0 1
 
0.5%
147.4 1
 
0.5%
120.0 1
 
0.5%
104.55 1
 
0.5%
100.0 7
3.5%
96.0 2
 
1.0%
75.75 1
 
0.5%
70.8 1
 
0.5%
70.3125 1
 
0.5%
70.0 1
 
0.5%

0.585
Real number (ℝ)

ZEROS 

Distinct90
Distinct (%)45.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.1035096
Minimum0
Maximum77
Zeros57
Zeros (%)28.6%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:13:59.888338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.4566
Q31.17
95-th percentile5.8204425
Maximum77
Range77
Interquartile range (IQR)1.17

Descriptive statistics

Standard deviation8.2726233
Coefficient of variation (CV)3.9327719
Kurtosis56.961255
Mean2.1035096
Median Absolute Deviation (MAD)0.4566
Skewness7.1734392
Sum418.59841
Variance68.436297
MonotonicityNot monotonic
2023-12-10T15:14:00.086949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 57
28.6%
1.2 11
 
5.5%
0.585 5
 
2.5%
0.2 5
 
2.5%
0.6 4
 
2.0%
1.17 4
 
2.0%
0.4566 4
 
2.0%
1.8 4
 
2.0%
0.5 3
 
1.5%
1.6 3
 
1.5%
Other values (80) 99
49.7%
ValueCountFrequency (%)
0.0 57
28.6%
0.02 1
 
0.5%
0.033 1
 
0.5%
0.04 1
 
0.5%
0.0484212017059326 1
 
0.5%
0.075 1
 
0.5%
0.0765 1
 
0.5%
0.08 1
 
0.5%
0.1 3
 
1.5%
0.105 2
 
1.0%
ValueCountFrequency (%)
77.0 1
 
0.5%
69.3 1
 
0.5%
38.0 1
 
0.5%
20.0 1
 
0.5%
19.6 3
1.5%
19.0 1
 
0.5%
9.5 1
 
0.5%
6.680325 1
 
0.5%
5.7249 1
 
0.5%
4.45355 1
 
0.5%

58.0
Real number (ℝ)

Distinct16
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean60.654271
Minimum40
Maximum84.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:14:00.249578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum40
5-th percentile51.3
Q155
median56.9
Q368
95-th percentile84.8
Maximum84.8
Range44.8
Interquartile range (IQR)13

Descriptive statistics

Standard deviation9.8642692
Coefficient of variation (CV)0.16263107
Kurtosis0.75940251
Mean60.654271
Median Absolute Deviation (MAD)1.9
Skewness0.8366562
Sum12070.2
Variance97.303807
MonotonicityNot monotonic
2023-12-10T15:14:00.385885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
56.9 40
20.1%
55.0 40
20.1%
68.0 34
17.1%
56.2 15
 
7.5%
84.8 14
 
7.0%
75.0 12
 
6.0%
58.0 7
 
3.5%
40.0 7
 
3.5%
56.8 7
 
3.5%
52.0 6
 
3.0%
Other values (6) 17
8.5%
ValueCountFrequency (%)
40.0 7
 
3.5%
45.0 3
 
1.5%
52.0 6
 
3.0%
54.0 2
 
1.0%
55.0 40
20.1%
56.2 15
 
7.5%
56.6 3
 
1.5%
56.7 3
 
1.5%
56.8 7
 
3.5%
56.9 40
20.1%
ValueCountFrequency (%)
84.8 14
 
7.0%
75.0 12
 
6.0%
68.0 34
17.1%
67.0 3
 
1.5%
58.0 7
 
3.5%
57.5 3
 
1.5%
56.9 40
20.1%
56.8 7
 
3.5%
56.7 3
 
1.5%
56.6 3
 
1.5%

0.5.1
Real number (ℝ)

ZEROS 

Distinct61
Distinct (%)30.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31.682301
Minimum0
Maximum520
Zeros103
Zeros (%)51.8%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:14:00.557160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q316.5
95-th percentile175
Maximum520
Range520
Interquartile range (IQR)16.5

Descriptive statistics

Standard deviation80.430074
Coefficient of variation (CV)2.5386437
Kurtosis17.682883
Mean31.682301
Median Absolute Deviation (MAD)0
Skewness3.9172314
Sum6304.7779
Variance6468.9968
MonotonicityNot monotonic
2023-12-10T15:14:00.786386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 103
51.8%
175.0 7
 
3.5%
1.0 6
 
3.0%
0.5 5
 
2.5%
0.75 4
 
2.0%
22.0 4
 
2.0%
11.0 3
 
1.5%
130.0 3
 
1.5%
105.0 2
 
1.0%
0.4 2
 
1.0%
Other values (51) 60
30.2%
ValueCountFrequency (%)
0.0 103
51.8%
0.1 1
 
0.5%
0.25 2
 
1.0%
0.4 2
 
1.0%
0.45 1
 
0.5%
0.48 1
 
0.5%
0.5 5
 
2.5%
0.75 4
 
2.0%
0.96 1
 
0.5%
1.0 6
 
3.0%
ValueCountFrequency (%)
520.0 1
 
0.5%
482.0 1
 
0.5%
480.0 1
 
0.5%
389.0 1
 
0.5%
320.0 1
 
0.5%
195.0 1
 
0.5%
180.75 1
 
0.5%
175.0 7
3.5%
151.0 1
 
0.5%
132.0 1
 
0.5%

0.0.3
Real number (ℝ)

ZEROS 

Distinct61
Distinct (%)30.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.4879351
Minimum0
Maximum145.3
Zeros108
Zeros (%)54.3%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:14:00.985459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q35.652
95-th percentile25
Maximum145.3
Range145.3
Interquartile range (IQR)5.652

Descriptive statistics

Standard deviation17.257778
Coefficient of variation (CV)2.65998
Kurtosis36.161604
Mean6.4879351
Median Absolute Deviation (MAD)0
Skewness5.4859919
Sum1291.0991
Variance297.83089
MonotonicityNot monotonic
2023-12-10T15:14:01.248952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 108
54.3%
25.0 11
 
5.5%
3.0 4
 
2.0%
5.664 4
 
2.0%
2.82 3
 
1.5%
14.0 3
 
1.5%
116.24 2
 
1.0%
0.7 2
 
1.0%
38.71 2
 
1.0%
24.0 2
 
1.0%
Other values (51) 58
29.1%
ValueCountFrequency (%)
0.0 108
54.3%
0.06 1
 
0.5%
0.06975 1
 
0.5%
0.084 1
 
0.5%
0.252 1
 
0.5%
0.326 1
 
0.5%
0.7 2
 
1.0%
0.88 2
 
1.0%
0.9671 1
 
0.5%
1.0 2
 
1.0%
ValueCountFrequency (%)
145.29999999999998 1
 
0.5%
116.24 2
 
1.0%
42.0 1
 
0.5%
38.71 2
 
1.0%
35.0 1
 
0.5%
29.06 1
 
0.5%
25.0 11
5.5%
24.75 1
 
0.5%
24.0 2
 
1.0%
23.0 1
 
0.5%

0.0.4
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
0.0
198 
1.258
 
1

Length

Max length5
Median length3
Mean length3.0100503
Min length3

Unique

Unique1 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
0.0 198
99.5%
1.258 1
 
0.5%

Length

2023-12-10T15:14:01.520568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:14:01.686528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 198
99.5%
1.258 1
 
0.5%

6.03
Real number (ℝ)

ZEROS 

Distinct104
Distinct (%)52.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean54.860115
Minimum0
Maximum874
Zeros69
Zeros (%)34.7%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:14:01.862648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median12.06
Q374.9592
95-th percentile184.92
Maximum874
Range874
Interquartile range (IQR)74.9592

Descriptive statistics

Standard deviation100.46725
Coefficient of variation (CV)1.8313351
Kurtosis26.716293
Mean54.860115
Median Absolute Deviation (MAD)12.06
Skewness4.3260953
Sum10917.163
Variance10093.669
MonotonicityNot monotonic
2023-12-10T15:14:02.068064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 69
34.7%
6.03 5
 
2.5%
74.9592 4
 
2.0%
12.06 4
 
2.0%
170.4 3
 
1.5%
9.045 3
 
1.5%
100.1225 3
 
1.5%
187.8 2
 
1.0%
32.445 2
 
1.0%
358.8 2
 
1.0%
Other values (94) 102
51.3%
ValueCountFrequency (%)
0.0 69
34.7%
0.18 1
 
0.5%
2.98625 1
 
0.5%
3.015 1
 
0.5%
3.47625 1
 
0.5%
4.755 1
 
0.5%
5.6085 1
 
0.5%
6.03 5
 
2.5%
6.19575 1
 
0.5%
6.24 1
 
0.5%
ValueCountFrequency (%)
874.0 1
0.5%
585.5895 1
0.5%
448.5 1
0.5%
358.8 2
1.0%
340.8 1
0.5%
219.1059377193451 1
0.5%
199.17945000000003 1
0.5%
187.8 2
1.0%
184.6 1
0.5%
181.0 1
0.5%

0.18
Real number (ℝ)

ZEROS 

Distinct106
Distinct (%)53.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.8050872
Minimum0
Maximum66.555
Zeros65
Zeros (%)32.7%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:14:02.267991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.36
Q31.28845
95-th percentile4.47645
Maximum66.555
Range66.555
Interquartile range (IQR)1.28845

Descriptive statistics

Standard deviation6.2058078
Coefficient of variation (CV)3.4379546
Kurtosis66.851696
Mean1.8050872
Median Absolute Deviation (MAD)0.36
Skewness7.5274846
Sum359.21235
Variance38.512051
MonotonicityNot monotonic
2023-12-10T15:14:02.505826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 65
32.7%
0.18 5
 
2.5%
1.1117 4
 
2.0%
0.36 4
 
2.0%
3.91885 3
 
1.5%
0.42 3
 
1.5%
0.27 3
 
1.5%
31.68 2
 
1.0%
1.26 2
 
1.0%
0.161 2
 
1.0%
Other values (96) 106
53.3%
ValueCountFrequency (%)
0.0 65
32.7%
0.04 1
 
0.5%
0.045 2
 
1.0%
0.08 1
 
0.5%
0.09 1
 
0.5%
0.0968424034118652 1
 
0.5%
0.12 1
 
0.5%
0.126 1
 
0.5%
0.15025 1
 
0.5%
0.1575 1
 
0.5%
ValueCountFrequency (%)
66.555 1
0.5%
31.68 2
1.0%
30.66 1
0.5%
15.33 1
0.5%
11.399475 1
0.5%
10.354 1
0.5%
7.59965 1
0.5%
6.7 1
0.5%
4.8072 1
0.5%
4.4397 1
0.5%

0.0.5
Real number (ℝ)

ZEROS 

Distinct85
Distinct (%)42.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1916.46
Minimum0
Maximum30330
Zeros98
Zeros (%)49.2%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:14:02.718819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.54
Q31358.615
95-th percentile11769.424
Maximum30330
Range30330
Interquartile range (IQR)1358.615

Descriptive statistics

Standard deviation4708.425
Coefficient of variation (CV)2.4568345
Kurtosis16.010538
Mean1916.46
Median Absolute Deviation (MAD)0.54
Skewness3.8165837
Sum381375.53
Variance22169266
MonotonicityNot monotonic
2023-12-10T15:14:02.948216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 98
49.2%
955.75 4
 
2.0%
2821.565 3
 
1.5%
378.0 3
 
1.5%
1232.405 2
 
1.0%
1712.0 2
 
1.0%
0.5895 2
 
1.0%
1122.0 2
 
1.0%
231.0 2
 
1.0%
35.4 2
 
1.0%
Other values (75) 79
39.7%
ValueCountFrequency (%)
0.0 98
49.2%
0.14 1
 
0.5%
0.54 1
 
0.5%
0.5895 2
 
1.0%
0.646 1
 
0.5%
1.08 1
 
0.5%
2.0 1
 
0.5%
2.421060085296631 1
 
0.5%
19.5 1
 
0.5%
35.4 2
 
1.0%
ValueCountFrequency (%)
30330.0 1
0.5%
27627.12 1
0.5%
24204.0 2
1.0%
18270.06 1
0.5%
15673.6 2
1.0%
13506.41 1
0.5%
13459.95 1
0.5%
12180.04 1
0.5%
11723.8 1
0.5%
11283.06 1
0.5%

4
Real number (ℝ)

ZEROS 

Distinct29
Distinct (%)14.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.738693
Minimum0
Maximum74
Zeros12
Zeros (%)6.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:14:03.165399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16
median14
Q325
95-th percentile72.1
Maximum74
Range74
Interquartile range (IQR)19

Descriptive statistics

Standard deviation24.865945
Coefficient of variation (CV)1.0474858
Kurtosis-0.077115193
Mean23.738693
Median Absolute Deviation (MAD)9
Skewness1.2469399
Sum4724
Variance618.31521
MonotonicityNot monotonic
2023-12-10T15:14:03.374453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
4 17
 
8.5%
14 15
 
7.5%
70 14
 
7.0%
0 12
 
6.0%
13 11
 
5.5%
5 10
 
5.0%
71 9
 
4.5%
25 9
 
4.5%
73 8
 
4.0%
18 8
 
4.0%
Other values (19) 86
43.2%
ValueCountFrequency (%)
0 12
6.0%
3 7
3.5%
4 17
8.5%
5 10
5.0%
6 6
 
3.0%
7 6
 
3.0%
8 7
3.5%
9 1
 
0.5%
10 3
 
1.5%
11 7
3.5%
ValueCountFrequency (%)
74 2
 
1.0%
73 8
4.0%
72 7
3.5%
71 9
4.5%
70 14
7.0%
26 3
 
1.5%
25 9
4.5%
24 3
 
1.5%
22 5
 
2.5%
21 3
 
1.5%

1.1
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
1
185 
0
 
14

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 (%)
1 185
93.0%
0 14
 
7.0%

Length

2023-12-10T15:14:03.556769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:14:03.690421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 185
93.0%
0 14
 
7.0%

[18:19]
Categorical

Distinct8
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
[18:19]
76 
[37:38]
40 
[20:21]
37 
[38:39]
14 
[43:44]
12 
Other values (3)
20 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row[18:19]
2nd row[18:19]
3rd row[18:19]
4th row[18:19]
5th row[18:19]

Common Values

ValueCountFrequency (%)
[18:19] 76
38.2%
[37:38] 40
20.1%
[20:21] 37
18.6%
[38:39] 14
 
7.0%
[43:44] 12
 
6.0%
[14:15] 10
 
5.0%
[17:18] 8
 
4.0%
[26:27] 2
 
1.0%

Length

2023-12-10T15:14:03.847819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:14:04.012937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
18:19 76
38.2%
37:38 40
20.1%
20:21 37
18.6%
38:39 14
 
7.0%
43:44 12
 
6.0%
14:15 10
 
5.0%
17:18 8
 
4.0%
26:27 2
 
1.0%

[160:164]
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
[160:164]
169 
[155:159]
20 
[150:154]
 
10

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row[160:164]
2nd row[160:164]
3rd row[160:164]
4th row[160:164]
5th row[160:164]

Common Values

ValueCountFrequency (%)
[160:164] 169
84.9%
[155:159] 20
 
10.1%
[150:154] 10
 
5.0%

Length

2023-12-10T15:14:04.591330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:14:04.740690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
160:164 169
84.9%
155:159 20
 
10.1%
150:154 10
 
5.0%

48.3
Real number (ℝ)

Distinct7
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean53.766834
Minimum32.6
Maximum78.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:14:04.895625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum32.6
5-th percentile32.6
Q148.3
median48.3
Q367
95-th percentile78.5
Maximum78.5
Range45.9
Interquartile range (IQR)18.7

Descriptive statistics

Standard deviation11.201524
Coefficient of variation (CV)0.2083352
Kurtosis0.0016683568
Mean53.766834
Median Absolute Deviation (MAD)5.7
Skewness0.52266518
Sum10699.6
Variance125.47415
MonotonicityNot monotonic
2023-12-10T15:14:05.051710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
48.3 84
42.2%
54.0 40
20.1%
67.0 37
18.6%
78.5 14
 
7.0%
32.6 12
 
6.0%
40.0 10
 
5.0%
56.6 2
 
1.0%
ValueCountFrequency (%)
32.6 12
 
6.0%
40.0 10
 
5.0%
48.3 84
42.2%
54.0 40
20.1%
56.6 2
 
1.0%
67.0 37
18.6%
78.5 14
 
7.0%
ValueCountFrequency (%)
78.5 14
 
7.0%
67.0 37
18.6%
56.6 2
 
1.0%
54.0 40
20.1%
48.3 84
42.2%
40.0 10
 
5.0%
32.6 12
 
6.0%

2
Categorical

Distinct3
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2
96 
1
56 
0
47 

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 96
48.2%
1 56
28.1%
0 47
23.6%

Length

2023-12-10T15:14:05.243340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:14:05.416865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 96
48.2%
1 56
28.1%
0 47
23.6%

Sample

10484020e6fc604670d941315750056cea5ed040e67a88798286ee9a329357e34150acd9Unnamed: 212020-01-20 11:24:030.5ko쌀밥1공기105.0163.3535.7759.70.02.880.0630.0.10.0.23.60.453.155.50.58558.00.5.10.0.30.0.46.030.180.0.541.1[18:19][160:164]48.32
010484020e6fc604670d941315750056cea5ed040e67a88798286ee9a329357e34150acd9<NA>12020-01-20 11:24:031.0ko콩나물국1대접100.021.112.29679.70.21572.61920.13160.01.9672.462.347.048.00.462758.012.03.00.048.9332.41172389.1541[18:19][160:164]48.32
110484635e6fc604670d941315750056cea5ed040e67a88798286ee9a329357e34150acd9<NA>52020-01-20 12:45:551.0ko초코우유1컵200.0126.020.29.719.24.82.00.016.0100.01.6270.020.00.658.022.00.00.0166.41.285186.041[18:19][160:164]48.32
210485001e6fc604670d941315750056cea5ed040e67a88798286ee9a329357e34150acd9<NA>52020-01-20 13:40:401.0ko귤1개100.040.010.59.75.070.50.010.00.03.03.313.024.00.458.020.029.060.089.70.19428.041[18:19][160:164]48.32
310485497e6fc604670d941315750056cea5ed040e67a88798286ee9a329357e34150acd9<NA>22020-01-20 15:27:571.0ko신라면1봉지120.0500.079.09.74.010.09.00.00.01790.00.00.00.00.058.00.00.00.00.00.00.041[18:19][160:164]48.32
410485497e6fc604670d941315750056cea5ed040e67a88798286ee9a329357e34150acd9<NA>22020-01-20 15:27:571.0ko삼겹살구이1접시45.0222.01.59.70.09.928.98620.023.028.00.03.00.00.84158.011.00.880.0100.60151.878824204.041[18:19][160:164]48.32
510485497e6fc604670d941315750056cea5ed040e67a88798286ee9a329357e34150acd9<NA>22020-01-20 15:27:571.21053ko콜라1컵242.106008529663192.00028322.9032289.721.8621730.00.00.00.04.842120.02.421060.00.04842158.00.00.00.0219.1059380.0968422.4210641[18:19][160:164]48.32
610485497e6fc604670d941315750056cea5ed040e67a88798286ee9a329357e34150acd9<NA>22020-01-20 15:27:570.25ko쌀밥1공기52.581.67517.88759.70.01.440.03150.00.01.80.2251.5752.750.292558.00.250.00.03.0150.090.041[18:19][160:164]48.32
710488063e6fc604670d941315750056cea5ed040e67a88798286ee9a329357e34150acd9<NA>02020-01-21 09:22:281.0ko사과1개200.0106.028.729.722.280.40.020.00.00.05.48.06.00.256.20.02.820.0170.40.42378.051[18:19][160:164]48.32
810488517e6fc604670d941315750056cea5ed040e67a88798286ee9a329357e34150acd9<NA>12020-01-21 11:26:411.0ko삼겹살구이1접시45.0222.01.59.70.09.928.98620.023.028.00.03.00.00.84156.211.00.880.0100.60151.878824204.051[18:19][160:164]48.32
910488517e6fc604670d941315750056cea5ed040e67a88798286ee9a329357e34150acd9<NA>12020-01-21 11:26:410.75ko쌀밥1공기157.5245.02553.66259.70.04.320.09450.00.05.40.6754.7258.250.877556.20.750.00.09.0450.270.051[18:19][160:164]48.32
10484020e6fc604670d941315750056cea5ed040e67a88798286ee9a329357e34150acd9Unnamed: 212020-01-20 11:24:030.5ko쌀밥1공기105.0163.3535.7759.70.02.880.0630.0.10.0.23.60.453.155.50.58558.00.5.10.0.30.0.46.030.180.0.541.1[18:19][160:164]48.32
1891050286131f7d397f445d069866c41b6b4d818f13631725567cc5aef02fc2d9bff10d159<NA>22020-01-25 18:06:371.0ko스위트 칠리소스1종지10.010.52.07.71.10.20.0050.00.0135.00.00.00.00.055.00.00.00.00.00.00.0731[37:38][160:164]54.01
19010432779d8085e459716d56967e29af850f63ecd179cfe40577650aa84221ecabc703832<NA>12020-01-08 11:51:050.25ko깍두기1접시10.03.80.7547.30.3550.1430.0040.00.050.10.434.16.00.03384.83.752.00.08.890.19492.740[38:39][160:164]78.51
1911050286131f7d397f445d069866c41b6b4d818f13631725567cc5aef02fc2d9bff10d159<NA>22020-01-25 18:06:371.0ko배추전1접시81.0144.1520.4117.70.52352.960.7670.00.0461.670.37521.62.250.52955.00.05.00150.050.7681.64851334.25731[37:38][160:164]54.01
19210432779d8085e459716d56967e29af850f63ecd179cfe40577650aa84221ecabc703832<NA>12020-01-08 11:51:050.5ko안동찜닭1접시80.0138.812512.27847.32.3637256.8333751.4520.020.2796.01.2515.10759.00.78747584.884.03.5660.051.91152.67265657.00540[38:39][160:164]78.51
1931050390031f7d397f445d069866c41b6b4d818f13631725567cc5aef02fc2d9bff10d159<NA>02020-01-26 11:22:321.0ko채소샐러드1접시92.287.2149.64037.75.55371.43550.01470.00.0250.8422.03622.75213.150.456655.00.05.6640.074.95921.1117955.75741[37:38][160:164]54.01
19410435135d8085e459716d56967e29af850f63ecd179cfe40577650aa84221ecabc703832<NA>22020-01-08 20:13:141.5625ko양배추찜1접시100.068.756.093757.34.0221872.50.6159380.00.0500.07.3437551.562570.31251.0937584.878.12516.5915630.081.3953132.0264062372.14062540[38:39][160:164]78.51
19510407500a2b7fec1b7a0ffd4d7e5cb9ad5ed2f3eb923606741bc478240450537bfcf6215<NA>22020-01-01 07:16:141.0ko햇반 작은공기1그릇130.0190.042.03.80.03.00.50.00.010.00.00.00.00.057.50.00.00.00.00.00.0161[26:27][160:164]56.61
1961050390031f7d397f445d069866c41b6b4d818f13631725567cc5aef02fc2d9bff10d159<NA>02020-01-26 11:22:321.0ko나토1큰술11.022.01.3317.70.0111.8150.15950.00.00.220.7379.913.20.36355.00.00.00.06.5450.2091801.8741[37:38][160:164]54.01
19710435135d8085e459716d56967e29af850f63ecd179cfe40577650aa84221ecabc703832<NA>22020-01-08 20:13:141.0ko삶은계란1개50.071.51.0957.30.0856.971.360.0223.070.00.026.069.50.88584.820.00.00.037.50.456083.540[38:39][160:164]78.51
19810407500a2b7fec1b7a0ffd4d7e5cb9ad5ed2f3eb923606741bc478240450537bfcf6215<NA>22020-01-01 07:16:141.0ko참치김치찌개1대접200.0133.3356.11963.81.162219.1240.2370.036.41292.081.665.715285.05.724957.5151.05.60110.0109.11354.8072498.0161[26:27][160:164]56.61

Duplicate rows

Most frequently occurring

10484020e6fc604670d941315750056cea5ed040e67a88798286ee9a329357e34150acd912020-01-20 11:24:030.5ko쌀밥1공기105.0163.3535.7759.70.02.880.0630.0.10.0.23.60.453.155.50.58558.00.5.10.0.30.0.46.030.180.0.541.1[18:19][160:164]48.32# duplicates
010418362f58cff728f1396fb0d20c6cd566d3e5bde62b1e581f87b1b89ab2051e187433202020-01-04 21:39:501.0ko켈로그 케이스페셜 오리지널1회제공량40.0152.031.68.08.06.00.00.00.0160.00.070.0100.01.268.0175.025.00.00.00.00.0191[20:21][160:164]67.002
110442321f58cff728f1396fb0d20c6cd566d3e5bde62b1e581f87b1b89ab2051e187433212020-01-10 14:46:041.0ko미니꽈배기1개28.0110.00.08.03.02.01.40.00.0140.00.00.00.00.068.00.00.00.00.00.00.0251[20:21][160:164]67.002
210507080e6fc604670d941315750056cea5ed040e67a88798286ee9a329357e34150acd922020-01-27 16:35:241.0ko맛있는 우유 GT1컵200.0130.09.09.79.06.05.00.530.0100.00.00.00.00.056.20.00.00.00.00.00.0111[18:19][160:164]48.322