Hands-On Exploratory Data Analysis with Python

Multivariate analysis on the combined dataframe

Let's perform the multivariate analysis with the combined dataset. We are going to use the same heatmap diagram to perform multivariate analysis:

1. Let's start by creating the figure. First, we create a subplot:

fig, (ax) = plt.subplots(1, 1, figsize=(14,8))

2. Next, we create the heatmap, as follows:

hm = sns.heatmap(df_wines.corr(),                 ax=ax,                  cmap="bwr",                  annot=True,                  fmt='.2f',                  linewidths=.05)

3. Finally, let's plot the subplot and populate it with a suitable title:

fig.subplots_adjust(top=0.93)fig.suptitle('Combined Wine Attributes and their Correlation Heatmap', fontsize=14, fontweight='bold')

The output of the preceding code is given as follows:

Figure 12.13 - A heatmap illustrating correlation ...