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Web scraping & analysis project using Python, Pandas, Selenium & Beautiful Soup. Gathers data from gov website, converts it to structured format, generates daily sales totals, identifies potential customers. Valuable insights for data-driven decisions.

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DATA DRIVEN INSIGHTS: A WEBSCRAPING AND ANALYSIS PROJECT BY AUTOMATION :

Developed and implemented a web scraping project using Python and various libraries such as Pandas, Selenium, Beautiful Soup to gather and process large amounts of data from a government website. Utilized pandas library to convert the data into a structured format and performed time resampling to generate daily sales totals. Also, implemented data analysis techniques to identify customers who are yet to visit the store. Implemented various data visualization techniques to present the data in an easy to understand format. The project provides valuable insights that helps my dad's business make data-driven decisions by identifying potential customers.

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Web scraping & analysis project using Python, Pandas, Selenium & Beautiful Soup. Gathers data from gov website, converts it to structured format, generates daily sales totals, identifies potential customers. Valuable insights for data-driven decisions.

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