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Part 3 - Data Visualization. After calculating the statistics, the project have four charts to visualize the data. These charts are created using the Python Matplotlib library and labeled with ...

The project is built using Pandas, Seaborn, Matplotlib, and Scikit-Learn for data analysis and visualization. The dataset contains details on film production budgets, domestic and worldwide revenue, ...

In this paper, we have implemented linear regression, which is an efficient approach for handling dynamic stock data and drawing a triangle pattern on charts. It has an average accuracy of 98.60% when ...

Data Visualization is a powerful paradigm to enhance data analysis. Different type of data visualization techniques are widely used to facilitate graph analysis by taking advantage of humanâs strong ...