Search⌘ K
AI Features
Home
Courses
Mastering Plotly and Dash Data Visualization with Python

Exercise: Visualizing Regression Plots

Explore how to visualize regression models with Plotly by creating scatter plots with OLS trendlines and rolling mean smoothers. Understand model fits by comparing linear regression and gradient boosting regression results using subplots. Gain hands-on experience interpreting relevant statistics like R squared.

We'll cover the following...

Exercise 1

Create a scatter plot with the Sales variable plotted against TV. Include a red trendline of the line of best fit using Ordinary Least Squares (OLS). What is the R2R^2 value?

Solution

  • A scatter plot is created using the px.scatter() function on line 2 with the advertising DataFrame. The x parameter is set to TV to specify the x-axis data, and the y parameter is set to Sales to specify the y-axis data. The trendline parameter is set to ols ...