Seaborn Relplot - Create Scatter Plots and Line Plots in Python

Understanding how variables are related to each other is an important part of the Exploratory Data Analysis workflow. This is commonly achieved using a number of plots, including scatter plots and line plots. In today’s video we are going to be looking at Seaborns relplot, or to give it it’s full name, the relational plot.
The relplot, as the name suggests allows you to identify relationships that may exist between your variables and it combines the scatter plot and line plot into a single function.
Data Source: Bormann P., Aursand P., Dilib F., Dischington P., Manral S. 2020. FORCE Machine Learning Competition. github.com/bolgebrygg/Force-2...
The dataset for this video can be downloaded from here:
github.com/andymcdgeo/Petroph...
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[@jkim5625]

Really helpful as always. Many thanks!!

[@axel_r_]

Found you through Medium. Glad to see you have a CZcams channel.
I want to follow you on this Jupyter setup, but I cannot find your csv file (I tried to google it...). Would it be possible for you to share these type of files in your videos?

[@AndyMcDonald42]

Thanks Axel. I usually do add a link to the data in the description, however, in this case I forgot.
You can access the data within this folder of the following repository: github.com/andymcdgeo/Petrophysics-Python-Series/tree/master/Data

[@javirodriguez5795]

Thank you very much! In your case, there are different colors for every graph (when you are using col) that belongs to a palette. I want to introduce my own two colors to two different graphs using col='x', but as I have no hue, there is no change in the color. Any tip? Thanks