Wine Characteristics Analysis - LAB 3.1

Introduction

  • First 10 rows
   Alcohol Color intensity
1    14.23            5.64
2    13.20            4.38
3    13.16            5.68
4    14.37            7.80
5    13.24            4.32
6    14.20            6.75
7    14.39            5.25
8    14.06            5.05
9    14.83            5.20
10   13.86            7.22

Introduction

  • Last 10 rows
    Alcohol Color intensity
169   13.58        8.660000
170   13.40        8.500000
171   12.20        5.500000
172   12.77        9.899999
173   14.16        9.700000
174   13.71        7.700000
175   13.40        7.300000
176   13.27       10.200000
177   13.17        9.300000
178   14.13        9.200000

Summary Statistics

  • Summary statistics for ‘Alcohol’ and ‘Color intensity’
   Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
  11.03   12.36   13.05   13.00   13.68   14.83 
   Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
  1.280   3.220   4.690   5.058   6.200  13.000

Class Distribution

  • Table for the ‘Class’ categorical variable

 1  2  3 
59 71 48

Scatter Plot

The scatter plot provides key takeaways:

  1. Wine Class 1 tends to have a wider range of alcohol content, roughly between 12.5% to 14.5%, with varying color intensities.
  2. Wine Class 2 generally appears to have a lower alcohol content, mostly concentrated between 12% and 13%, and also exhibits a lower range of color intensity compared to Class 1.
  3. Wine Class 3 shows a more compact grouping in terms of alcohol content, primarily between 13% and 14%, with color intensity spread across a wider range similar to Class 1.

Scatter Plot

Revisions

  • I adjusted the point sizes in the scatter plot for clearer visualization.
  • I incorporated a descriptive subtitle that summarizes the key takeaway from the scatter plot.
  • I introduced a diagonal reference line as a visual aid to see the plot’s patterns.

The End