Data Visualization and Cleaning of Sales Analysis

The article is about the process of acquiring and cleaning #food establishment inspection #data obtained from data.gov. It discusses the use of #webscraping techniques to gather the data from the website and highlights the importance of #datacleaning to enhance its quality. The article specifically outlines the steps taken to clean and standardize various columns in the dataset, such as unique identifiers, entity names, boroughs, addresses, phone numbers, cuisine descriptions, dates, violation codes, violation descriptions, critical flags, scores, and grades. The goal of the article is to emphasize the significance of data quality and provide insights into the specific processes used to clean and prepare the dataset for analysis.

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