
Log–log plot - Wikipedia
In science and engineering, a log–log graph or log–log plot is a two-dimensional graph of numerical data that uses logarithmic scales on both the horizontal and vertical axes.
Using Log-Log Plots to Determine Whether Size Matters
Log-log plots display data in two dimensions where both axes use logarithmic scales. When one variable changes as a constant power of another, a log-log graph shows the relationship as a straight line. In …
Log-Log Plots in Matplotlib - Python Guides
Jul 12, 2025 · Learn to create and customize log-log plots in Matplotlib with this practical Python guide. Perfect for data scientists and developers working with US datasets.
log-log graphing | Desmos
Graph functions, plot points, visualize algebraic equations, add sliders, animate graphs, and more.
In order to help us with our modeling, we take data on the motion and make a plot of log(<r2>) vs. log(Δt). The slope of this plot helps us make decisions about what models to propose or what models …
How do I use Semi-log or Log-Log plots? Understanding non-linear ...
Aug 16, 2024 · Instructional webpage teaching earth science students to use semi-log and log-log plots for visualizing non-linear relationships, covering logarithmic scales, orders of magnitude, data plotting …
loglog - Log-log scale plot - MATLAB - MathWorks
This MATLAB function plots x- and y-coordinates using a base-10 logarithmic scale on the x-axis and the y-axis.
How to Plot Log Log Graph in Excel (2 Suitable Examples)
Jul 26, 2024 · In the log-log graph, both of the axes are on a logarithmic scale. This graph demonstrates whether the variables are in a constant power relationship, just like the equation Y = mX^n.
How to Create a Log-Log Plot in Excel - Statology
Aug 3, 2020 · A simple explanation of how to create a log-log plot in Excel, including an example.
PPLATO | Basic Mathematics | Log-Log Plots - Brock University
We take logs of both sides and plot the points on a graph of log (y) against log (x). If they lie on a straight line (within experimental accuracy) then we conclude that y and x are related by a power law …