Using Pandas, NumPy, Seaborn and Matplotlib we conduct some correlation analysis and visualise some data points

The following skills were utilised:

• Data cleaning
• Converting data types
• Checking for duplicates
• Plotting a scatter plot
• Plotting a linear regression model
• Calculating the pearson correlation coefficient between variables, presenting it in a correlation matrix
• Visualising the correlation matrix in a heatmap
• Converting cells with an object type to a number, to then compare those variables in a correlation matrix
• Pivotting a level of the hierarchical index labels, sorting the pairs to see values of interest

Data source: https://www.kaggle.com/datasets/danielgrijalvas/movies?resource=download