From the course: Using AI for Data-Driven Insights

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Cleaning and preprocessing data with ChatGPT for analysis

Cleaning and preprocessing data with ChatGPT for analysis

From the course: Using AI for Data-Driven Insights

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Cleaning and preprocessing data with ChatGPT for analysis

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- [Instructor] It's crucial to make sure our data is clean and ready to go before diving into deeper analysis. Issues like missing values or even extreme outliers can skew results if left unchecked. I'll show you how to use ChatGPT to clean and pre-process the FreshMart data step-by-step so we can move forward with confidence. By the end of this video, you'll know how to use ChatGPT to identify and fix common data issues like missing values and outliers. Step number one, let's look to ask ChatGPT to identify data issues. Let's start by identifying any problems that could be within this dataset. I'll copy and paste a sample of the FreshMart data into ChatGPT as I've already done, and I'll type this. Based on this dataset, can you identify any missing values, outliers, or errors? ChatGPT analyzes the data and will provide a response. Ah, it looks like there are missing two entries in inventory levels. There's an outlier, one outlier detected in row 56, and also some other rows with…

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