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The challenges include cleaning and transforming the raw data, performing exploratory analysis(EDA), and visualizing to findings insights in an intuitive and informative manner.\n\u003cdiv \u003e\n  \u003cimg src=\"images/dashboard-1.png\"  /\u003e\n  \u003cimg src=\"images/dashboard-2.png\" width=\"500\" /\u003e\n  \u003cimg src=\"images/dashboard-3.png\" width=\"500\" /\u003e\n\u003c/div\u003e \u003cbr\u003e\n\n# The repository contains the following components:\n\n  *  Python scripts for data cleaning and transformation of the Excel dataset.\n  * SQL dump file for importing the transformed data into a SQL database.\n  * SQL queries for performing exploratory analysis and extracting insights from the sales data.\n  *  Power BI project file (.pbix) containing the interactive reports with three pages: sales performance, customer analysis, and product analysis.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fchandantech2023%2Fsales-trend-analysis","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fchandantech2023%2Fsales-trend-analysis","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fchandantech2023%2Fsales-trend-analysis/lists"}