When I plot these selected data, things get strange. If I plot X and the selected Y values, it looks OK. If I add another Y series, it may be plotted wrong. In one case, the datapoints should show a negative slope, but the plot has a positive slope. If I plot the selected...
I have a third column which contains categorical data. I want to use the values in this column to color-code all the "points" on the scatterplot. For example, in the attached screenshot, I would like the points in categories "A", "B", and "C" to each be assigned a c...
The correlation provided has both a large magnitude (.88) and is positive (+). Since the magnitude is quite large the dots on the scatterplot would... Learn more about this topic: Scatterplot & Correlation | Overview, Graphs & Examples ...
First, let’s briefly go over what we’re actually doing with this loess thing. LOESS stands for locally weighted scatterplot smoothing. It wasdeveloped[pdf] in 1988 by William Cleveland and Susan Devlin, and it’s a way to fit a curve to a dataset. If we plot unemployment without any ...
Change legend marker size for Plotly scatter plot (bubble chart) in Python Solution: Anbjork's comment, which can be found here, provided me with an excellent solution. fig.update_layout(legend= {'itemsizing': 'constant'}) Python - plotly making marker size bigger at random, With update_...
Not sure that I fully understand what you are doing, but when I look at the data selected for the orange dots ("test") I see that the header is a single cell (the red box) with all the data below it (the blue box). However, the data for "val sub T1" is set-up diff...