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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def correlation_plot(self, data):
 """ Create heatmap of Pearson's correlation coefficient. Parameters data : pd.DataFrame() Data to display. Returns ------- matplotlib.figure Heatmap. """


        # CHECK: Add saved filename in result.json
        fig = plt.figure(Plot_Data.count)
        corr = data.corr()
        ax = sns.heatmap(corr)

        Plot_Data.count += 1
        return fig