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2. Scatter plot - Wikipedia

   en.wikipedia.org/wiki/Scatter_plot

   A scatter plot, also called a scatterplot, scatter graph, scatter chart, scattergram, or scatter diagram, [2] is a type of plot or mathematical diagram using Cartesian coordinates to display values for typically two variables for a set of data. If the points are coded (color/shape/size), one additional variable can be displayed.

3. Poincaré plot - Wikipedia

   en.wikipedia.org/wiki/Poincaré_plot

   In the context of RR tachography, a Poincaré plot is a graph of RR (n) on the x -axis versus RR (n + 1) (the succeeding RR interval) on the y -axis, i.e. one takes a sequence of intervals and plots each interval against the following interval. [3] The recurrence plot is used as a standard visualizing technique to detect the presence of ...

4. Plotly - Wikipedia

   en.wikipedia.org/wiki/Plotly

   Plotly is a technical computing company headquartered in Montreal, Quebec, that develops online data analytics and visualization tools. Plotly provides online graphing, analytics, and statistics tools for individuals and collaboration, as well as scientific graphing libraries for Python, R, MATLAB, Perl, Julia, Arduino, JavaScript [1] and REST.

5. Scatterplot smoothing - Wikipedia

   en.wikipedia.org/wiki/Scatterplot_smoothing

   In statistics, several scatterplot smoothing methods are available to fit a function through the points of a scatterplot to best represent the relationship between the variables. Scatterplots may be smoothed by fitting a line to the data points in a diagram. This line attempts to display the non-random component of the association between the ...

6. Local regression - Wikipedia

   en.wikipedia.org/wiki/Local_regression

   Local regression or local polynomial regression, [1] also known as moving regression, [2] is a generalization of the moving average and polynomial regression. [3] Its most common methods, initially developed for scatterplot smoothing, are LOESS (locally estimated scatterplot smoothing) and LOWESS (locally weighted scatterplot smoothing), both pronounced / ˈ l oʊ ɛ s / LOH-ess.

7. Data and information visualization - Wikipedia

   en.wikipedia.org/wiki/Data_and_information...

   Points can be coded via color, shape and/or size to display additional variables. Each point on the plot has an associated x and y term that determines its location on the cartesian plane. Scatter plots are often used to highlight the correlation between variables (x and y). Also called "dot plots" Scatter plot: Scatter plot (3D) position x ...

8. Hubble's law - Wikipedia

   en.wikipedia.org/wiki/Hubble's_law

   Hubble's law, also known as the Hubble–Lemaître law, [1] is the observation in physical cosmology that galaxies are moving away from Earth at speeds proportional to their distance. In other words, the farther they are, the faster they are moving away. For this purpose, the recessional velocity of a galaxy is typically determined by measuring ...

9. Biplot - Wikipedia

   en.wikipedia.org/wiki/Biplot

   Biplots are a type of exploratory graph used in statistics, a generalization of the simple two-variable scatterplot. A biplot overlays a score plot with a loading plot. A biplot allows information on both samples and variables of a data matrix to be displayed graphically. Samples are displayed as points while variables are displayed either as ...