From the course: Using AI for Data-Driven Insights
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Dataset exploration
From the course: Using AI for Data-Driven Insights
Dataset exploration
- [Instructor] Taking the next step in our analysis journey, let's continue by diving deeper into Fresh Mart's dataset. You've got a lot of data at your fingertips, from product sales to customer trends, inventory levels, et cetera, but making sense of all of this can be overwhelming. That's where ChatGPT comes in. In this video, we'll take a closer look at Fresh Mart's dataset and uncover how each piece of information can guide our insights, setting us up for success as we start analyzing the data. So let's start with the basics. Our dataset includes transaction data from Fresh Mart over the past two years. Each row represents a specific date and product category, along with several columns that tell us about sales, customer demographics, inventory levels, and more. For example, product category: This shows us what type of product was sold, such as reusable water bottles or bamboo toothbrushes. Understanding product categories will help us identify trends across different types of…
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