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Assessment: Module "Moving from VBA to Python Pandas"

  Assessment: For this assessment, you will be provided with a large dataset containing sales transactions from a retail company. Your task is to perform various data analysis tasks using Pandas to provide insights into the company's sales performance. Tasks: Load the dataset into a Pandas DataFrame. Perform data cleaning and preprocessing as necessary. Calculate the total revenue for each month. Calculate the average revenue per transaction for each month. Calculate the total revenue for each product category. Identify the top-selling products and product categories. Create visualizations to present your findings. Dataset: The dataset contains the following columns: TransactionID: unique ID for each transaction CustomerID: ID for the customer who made the transaction ProductID: ID for the product sold ProductCategory: category of the product sold TransactionDate: date of the transaction TransactionAmount: total amount of the transaction You can download the dataset from the follow

Data Visualization Using Pandas

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Data Visualization Using Pandas   Data Visualization is the graphical representation of data and information. It enables the analyst to understand the data, draw insights, identify patterns, and make better decisions. Pandas is a popular library for data analysis and manipulation. Pandas provides a range of tools for data visualization. These tools can be used to generate charts, graphs, and other visualizations that help to communicate insights and information effectively. Data Visualization using Pandas involves plotting different types of charts such as line plots, bar plots, scatter plots, histograms, and box plots. Pandas makes it easy to generate these charts directly from the data frames. The visualizations can be customized with different colors, styles, and labels to make them more informative and visually appealing. In this module, we will learn how to use Pandas to create different types of charts and graphs. We will explore different types of visualizations and learn how to