From the course: Complete Guide to AI and Data Science for SQL Developers: From Beginner to Advanced
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Challenge: Visualization - SQL Tutorial
From the course: Complete Guide to AI and Data Science for SQL Developers: From Beginner to Advanced
Challenge: Visualization
(upbeat music) - [Instructor] You're part of a real estate team exploring factors affecting property prices in a city. Here are a couple of crucial concepts for your analysis. First, bivariate analysis. Next, correlation interpretation. Here's your challenge. Explain why studying relationships between property features and prices matters for your real estate analysis. How can it benefit your team? Secondly, imagine you find a correlation of 0.75 between the number of rooms in a house and its selling price, how would you describe this correlation to your team? And what does it mean regarding room counts and prices? Take about 10 minutes for this challenge. Pause the video if needed, and once you formulate your answer, hit Play to see the solution in the solution video.
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Bivariate analysis: Heat-map5m 23s
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Visualizing relationships: Age of homes and distance to work3m 52s
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Visualizing relationships: Highway access and property tax4m 9s
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Checking correlation after removing outliers3m 40s
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Visualizing relationships: Other pairs of variables5m 8s
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Challenge: Visualization1m 9s
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Solution: Visualization56s
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