Overview

Dataset statistics

Number of variables4
Number of observations98
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.5 KiB
Average record size in memory36.3 B

Variable types

DateTime1
Numeric3

Dataset

Description주요 유통업체 오프라인 13개사, 온라인 12개사 및 전체 25개사 전년 동월 대비 식품군 매출액 성장률(년월, 오프라인 13개사 전년동월대비 성장률, 온라인 13개사 전년동월대비 성장률 등)
Author산업통상자원부
URLhttps://www.data.go.kr/data/15061361/fileData.do

Alerts

오프라인_13개사_전년동월대비_성장률 is highly overall correlated with 전체_25개사_전년동월대비_성장률High correlation
전체_25개사_전년동월대비_성장률 is highly overall correlated with 오프라인_13개사_전년동월대비_성장률High correlation
년월 has unique valuesUnique
오프라인_13개사_전년동월대비_성장률 has 1 (1.0%) zerosZeros

Reproduction

Analysis started2024-04-06 08:17:34.149063
Analysis finished2024-04-06 08:17:36.393664
Duration2.24 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

년월
Date

UNIQUE 

Distinct98
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size916.0 B
Minimum2016-01-31 00:00:00
Maximum2024-02-29 00:00:00
2024-04-06T17:17:36.555555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:17:36.852054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

오프라인_13개사_전년동월대비_성장률
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct82
Distinct (%)83.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.0744898
Minimum-15.9
Maximum26.6
Zeros1
Zeros (%)1.0%
Negative25
Negative (%)25.5%
Memory size1014.0 B
2024-04-06T17:17:37.132577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-15.9
5-th percentile-7.325
Q1-0.45
median4.5
Q38.1
95-th percentile16.26
Maximum26.6
Range42.5
Interquartile range (IQR)8.55

Descriptive statistics

Standard deviation7.0607425
Coefficient of variation (CV)1.7329145
Kurtosis0.99920234
Mean4.0744898
Median Absolute Deviation (MAD)3.8
Skewness0.0029432966
Sum399.3
Variance49.854085
MonotonicityNot monotonic
2024-04-06T17:17:37.381429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.0 3
 
3.1%
6.1 2
 
2.0%
6.6 2
 
2.0%
8.1 2
 
2.0%
8.3 2
 
2.0%
4.7 2
 
2.0%
9.9 2
 
2.0%
7.1 2
 
2.0%
3.4 2
 
2.0%
-1.3 2
 
2.0%
Other values (72) 77
78.6%
ValueCountFrequency (%)
-15.9 1
1.0%
-12.9 1
1.0%
-10.7 1
1.0%
-10.0 1
1.0%
-8.6 1
1.0%
-7.1 1
1.0%
-6.5 1
1.0%
-6.2 1
1.0%
-5.7 1
1.0%
-4.6 1
1.0%
ValueCountFrequency (%)
26.6 1
1.0%
20.8 1
1.0%
17.7 1
1.0%
16.7 1
1.0%
16.6 1
1.0%
16.2 1
1.0%
14.8 1
1.0%
13.6 1
1.0%
12.3 1
1.0%
12.0 1
1.0%

온라인_12개사_전년동월대비_성장률
Real number (ℝ)

Distinct90
Distinct (%)91.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.935714
Minimum-2.8
Maximum92.5
Zeros0
Zeros (%)0.0%
Negative1
Negative (%)1.0%
Memory size1014.0 B
2024-04-06T17:17:37.643862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-2.8
5-th percentile9.05
Q117.925
median24.6
Q331.075
95-th percentile50.28
Maximum92.5
Range95.3
Interquartile range (IQR)13.15

Descriptive statistics

Standard deviation14.974523
Coefficient of variation (CV)0.55593562
Kurtosis4.4283502
Mean26.935714
Median Absolute Deviation (MAD)6.65
Skewness1.6422267
Sum2639.7
Variance224.23634
MonotonicityNot monotonic
2024-04-06T17:17:37.926312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
22.4 2
 
2.0%
18.9 2
 
2.0%
17.9 2
 
2.0%
26.3 2
 
2.0%
24.7 2
 
2.0%
14.1 2
 
2.0%
24.6 2
 
2.0%
23.4 2
 
2.0%
44.4 1
 
1.0%
11.5 1
 
1.0%
Other values (80) 80
81.6%
ValueCountFrequency (%)
-2.8 1
1.0%
4.0 1
1.0%
7.5 1
1.0%
8.0 1
1.0%
8.2 1
1.0%
9.2 1
1.0%
9.8 1
1.0%
10.7 1
1.0%
10.9 1
1.0%
11.5 1
1.0%
ValueCountFrequency (%)
92.5 1
1.0%
75.4 1
1.0%
74.4 1
1.0%
60.2 1
1.0%
56.4 1
1.0%
49.2 1
1.0%
48.8 1
1.0%
46.4 1
1.0%
46.0 1
1.0%
45.6 1
1.0%

전체_25개사_전년동월대비_성장률
Real number (ℝ)

HIGH CORRELATION 

Distinct80
Distinct (%)81.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.5663265
Minimum-9.4
Maximum29.8
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)7.1%
Memory size1014.0 B
2024-04-06T17:17:38.218297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-9.4
5-th percentile-1.1
Q15.625
median8.45
Q311.575
95-th percentile18.63
Maximum29.8
Range39.2
Interquartile range (IQR)5.95

Descriptive statistics

Standard deviation6.4536083
Coefficient of variation (CV)0.75336941
Kurtosis1.9026128
Mean8.5663265
Median Absolute Deviation (MAD)2.95
Skewness0.068443057
Sum839.5
Variance41.649061
MonotonicityNot monotonic
2024-04-06T17:17:38.463975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8.3 3
 
3.1%
9.4 3
 
3.1%
8.7 2
 
2.0%
10.2 2
 
2.0%
15.0 2
 
2.0%
6.3 2
 
2.0%
12.4 2
 
2.0%
2.1 2
 
2.0%
5.5 2
 
2.0%
5.8 2
 
2.0%
Other values (70) 76
77.6%
ValueCountFrequency (%)
-9.4 1
1.0%
-8.5 1
1.0%
-8.1 1
1.0%
-6.8 1
1.0%
-2.8 1
1.0%
-0.8 1
1.0%
-0.3 1
1.0%
0.8 1
1.0%
1.2 1
1.0%
1.3 1
1.0%
ValueCountFrequency (%)
29.8 1
1.0%
26.7 1
1.0%
21.5 1
1.0%
19.8 1
1.0%
18.8 1
1.0%
18.6 1
1.0%
18.5 1
1.0%
17.8 1
1.0%
17.5 1
1.0%
17.2 1
1.0%

Interactions

2024-04-06T17:17:35.494971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:17:34.410547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:17:35.002938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:17:35.663550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:17:34.620675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:17:35.160249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:17:35.834278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:17:34.839693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:17:35.300585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-06T17:17:39.022448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
년월오프라인_13개사_전년동월대비_성장률온라인_12개사_전년동월대비_성장률전체_25개사_전년동월대비_성장률
년월1.0001.0001.0001.000
오프라인_13개사_전년동월대비_성장률1.0001.0000.3970.838
온라인_12개사_전년동월대비_성장률1.0000.3971.0000.502
전체_25개사_전년동월대비_성장률1.0000.8380.5021.000
2024-04-06T17:17:39.270851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
오프라인_13개사_전년동월대비_성장률온라인_12개사_전년동월대비_성장률전체_25개사_전년동월대비_성장률
오프라인_13개사_전년동월대비_성장률1.000-0.0630.829
온라인_12개사_전년동월대비_성장률-0.0631.0000.276
전체_25개사_전년동월대비_성장률0.8290.2761.000

Missing values

2024-04-06T17:17:36.109698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-06T17:17:36.329222image/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

년월오프라인_13개사_전년동월대비_성장률온라인_12개사_전년동월대비_성장률전체_25개사_전년동월대비_성장률
02016-01-3116.644.419.8
12016-02-29-2.110.9-0.8
22016-03-313.828.86.5
32016-04-306.722.28.4
42016-05-310.328.02.9
52016-06-306.44.06.1
62016-07-317.814.68.6
72016-08-318.736.511.4
82016-09-303.717.95.3
92016-10-3112.020.613.0
년월오프라인_13개사_전년동월대비_성장률온라인_12개사_전년동월대비_성장률전체_25개사_전년동월대비_성장률
882023-05-317.519.011.6
892023-06-308.922.313.6
902023-07-316.622.111.9
912023-08-31-1.313.03.7
922023-09-3016.232.021.5
932023-10-312.023.49.4
942023-11-304.422.010.8
952023-12-315.322.411.4
962024-01-31-1.922.46.9
972024-02-2920.836.226.7