From the course: No-Code Data Analysis and Visualization with ChatGPT
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Distribution and comparison
From the course: No-Code Data Analysis and Visualization with ChatGPT
Distribution and comparison
- [Narrator] Imagine this, a store sells 100 ice cream cones on Monday, 200 on Tuesday, and a whopping 500 on Friday. What do these numbers tell us? Well, the distribution of this sales data helps the store owners decide how much ice cream to stock each day to avoid running out or having too much left over. Now, let's talk about you for a moment. Think about counting your steps each day of the week. By looking at the distribution you can see that your activity levels fluctuate, with an average of around 3,800 steps, peaking on Sunday. This helps you understand your activity pattern, and set more informed fitness goals. Now, switch back to Alan's data. We know that Alan has nine stores spread across the country, and we are curious about the size of these stores. We talk to ChatGPT here. List the store area for each store, and create a histogram showing the distribution of the store area. Cool, the histogram reveals that most stores have areas around 40,000 to 43,000 square feet, with…
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Contents
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Allan's challenge in retail chain sales data1m 24s
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The leaning tower of data analysis framework2m 42s
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Describing a dataset and handling missing values2m 53s
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Statistical summary and value counts2m 36s
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Distribution and comparison3m 8s
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Color, font, and caption design for visualization2m 14s
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