YouTube Excerpt: Scatter plots are excellent visualization tools for determining whether two data sets are correlated. Scatter plots allow us to spot these trends if there is a correlation. Welcome to the full data visualization course using the Matplotlib library on Jupyter Notebook and Python. This playlist provides a full tutorial about all types of plots using Matplotlib. We will upload a video weekly. Don't forget to subscribe to our channel for more informative tutorials! The code examples are available on our GitHub page: https://github.com/BEEILAB/Matplotlib-data-visualization-course ๐ Subscribe for more tutorials like this: https://www.youtube.com/@BEEiLabTV ๐บ RELATED VIDEOS - Playlist with all our videos on data visualization using matplotlib: https://www.youtube.com/watch?v=6i2tzYn9VTo&list=PL1YH9tFO6gh2gGwUfKniyVWNa2P0B8QIh Other Social: ๐ธ Instagram: https://www.instagram.com/beeilab/ ๐ Website: https://mahdianpari.ca/ ๐ฑ Twitter: https://twitter.com/beeilab?lang=en ๐ LinkedIn: https://www.linkedin.com/company/beeilab/ 0:30 Introduction to scatter plot 1:05 Import packages 1:20 Create a smaple data 2:46 Create scatter plot
Scatter plots are excellent visualization tools for determining whether two data sets are correlated. Scatter plots allow us to spot these trends...
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