Overview

Dataset statistics

Number of variables5
Number of observations742
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory29.8 KiB
Average record size in memory41.2 B

Variable types

Categorical3
Text1
Numeric1

Alerts

대분류 has constant value ""Constant
중분류 has constant value ""Constant

Reproduction

Analysis started2024-04-06 08:00:32.789807
Analysis finished2024-04-06 08:00:35.176341
Duration2.39 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

대분류
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
가공식품
742 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
가공식품 742
100.0%

Length

2024-04-06T17:00:35.273620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:00:35.428039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
가공식품 742
100.0%

중분류
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
조미식품류
742 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
조미식품류 742
100.0%

Length

2024-04-06T17:00:35.585815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:00:35.737232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
조미식품류 742
100.0%

식품그룹
Text

Distinct169
Distinct (%)22.8%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
2024-04-06T17:00:36.106525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length9
Mean length4.893531
Min length1

Characters and Unicode

Total characters3631
Distinct characters203
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

Unique8 ?
Unique (%)1.1%

Sample

1st row가쓰오메밀장국
2nd row가쓰오메밀장국
3rd row가쓰오메밀장국
4th row가쓰오메밀장국
5th row가쓰오부시 과립
ValueCountFrequency (%)
우스터소스 8
 
1.1%
후추 8
 
1.1%
맛술 8
 
1.1%
칠리소스 8
 
1.1%
고춧가루 8
 
1.1%
마요네즈 8
 
1.1%
향신료 8
 
1.1%
돈가스소스 8
 
1.1%
중화소스 8
 
1.1%
핫소스 8
 
1.1%
Other values (161) 670
89.3%
2024-04-06T17:00:36.708191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
스 536
 
14.8%
소 420
 
11.6%
이 77
 
2.1%
토 72
 
2.0%
리 62
 
1.7%
레 62
 
1.7%
고 57
 
1.6%
장 54
 
1.5%
양 54
 
1.5%
념 54
 
1.5%
Other values (193) 2183
60.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3619
99.7%
Space Separator 8
 
0.2%
Other Punctuation 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 536
 
14.8%
소 420
 
11.6%
이 77
 
2.1%
토 72
 
2.0%
리 62
 
1.7%
레 62
 
1.7%
고 57
 
1.6%
장 54
 
1.5%
양 54
 
1.5%
념 54
 
1.5%
Other values (191) 2171
60.0%
Space Separator
ValueCountFrequency (%)
8
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3619
99.7%
Common 12
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 536
 
14.8%
소 420
 
11.6%
이 77
 
2.1%
토 72
 
2.0%
리 62
 
1.7%
레 62
 
1.7%
고 57
 
1.6%
장 54
 
1.5%
양 54
 
1.5%
념 54
 
1.5%
Other values (191) 2171
60.0%
Common
ValueCountFrequency (%)
8
66.7%
, 4
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3619
99.7%
ASCII 12
 
0.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
스 536
 
14.8%
소 420
 
11.6%
이 77
 
2.1%
토 72
 
2.0%
리 62
 
1.7%
레 62
 
1.7%
고 57
 
1.6%
장 54
 
1.5%
양 54
 
1.5%
념 54
 
1.5%
Other values (191) 2171
60.0%
ASCII
ValueCountFrequency (%)
8
66.7%
, 4
33.3%

학교유형
Categorical

Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
고등학교
198 
기타
185 
초등학교
181 
중학교
178 

Length

Max length4
Median length4
Mean length3.2614555
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row고등학교
2nd row기타
3rd row중학교
4th row초등학교
5th row고등학교

Common Values

ValueCountFrequency (%)
고등학교 198
26.7%
기타 185
24.9%
초등학교 181
24.4%
중학교 178
24.0%

Length

2024-04-06T17:00:36.960299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:00:37.149936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
고등학교 198
26.7%
기타 185
24.9%
초등학교 181
24.4%
중학교 178
24.0%

현품수
Real number (ℝ)

Distinct527
Distinct (%)71.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2251.7089
Minimum1
Maximum53837
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.7 KiB
2024-04-06T17:00:37.367014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q150
median336.5
Q31241.75
95-th percentile13260.75
Maximum53837
Range53836
Interquartile range (IQR)1191.75

Descriptive statistics

Standard deviation5979.7941
Coefficient of variation (CV)2.6556693
Kurtosis23.540483
Mean2251.7089
Median Absolute Deviation (MAD)322.5
Skewness4.4911616
Sum1670768
Variance35757938
MonotonicityNot monotonic
2024-04-06T17:00:37.628090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 19
 
2.6%
3 15
 
2.0%
2 9
 
1.2%
4 9
 
1.2%
46 8
 
1.1%
20 8
 
1.1%
5 7
 
0.9%
6 6
 
0.8%
21 6
 
0.8%
19 6
 
0.8%
Other values (517) 649
87.5%
ValueCountFrequency (%)
1 19
2.6%
2 9
1.2%
3 15
2.0%
4 9
1.2%
5 7
 
0.9%
6 6
 
0.8%
7 3
 
0.4%
8 5
 
0.7%
9 3
 
0.4%
10 3
 
0.4%
ValueCountFrequency (%)
53837 1
0.1%
49565 1
0.1%
39971 1
0.1%
38461 1
0.1%
32800 1
0.1%
32080 1
0.1%
32023 1
0.1%
31776 1
0.1%
31602 1
0.1%
31384 1
0.1%

Interactions

2024-04-06T17:00:34.669476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-06T17:00:37.787694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
학교유형현품수
학교유형1.0000.137
현품수0.1371.000
2024-04-06T17:00:37.928221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
현품수학교유형
현품수1.0000.088
학교유형0.0881.000

Missing values

2024-04-06T17:00:34.944278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-06T17:00:35.104982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

대분류중분류식품그룹학교유형현품수
0가공식품조미식품류가쓰오메밀장국고등학교1717
1가공식품조미식품류가쓰오메밀장국기타99
2가공식품조미식품류가쓰오메밀장국중학교894
3가공식품조미식품류가쓰오메밀장국초등학교699
4가공식품조미식품류가쓰오부시 과립고등학교1358
5가공식품조미식품류가쓰오부시 과립기타68
6가공식품조미식품류가쓰오부시 과립중학교720
7가공식품조미식품류가쓰오부시 과립초등학교701
8가공식품조미식품류가쓰오부시메밀소스고등학교532
9가공식품조미식품류가쓰오부시메밀소스기타40
대분류중분류식품그룹학교유형현품수
732가공식품조미식품류향신료초등학교1
733가공식품조미식품류혼합다시고등학교9
734가공식품조미식품류혼합다시중학교2
735가공식품조미식품류혼합다시초등학교1
736가공식품조미식품류후리카케고등학교36
737가공식품조미식품류후리카케기타1
738가공식품조미식품류후추고등학교46
739가공식품조미식품류후추기타21
740가공식품조미식품류후추중학교16
741가공식품조미식품류후추초등학교45