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This short video makes a 2D histogram as an alternative to plotting data points and visually estimating where the most data is.
3:53
Making a 2D or 3D Histogram to Visualize Data Density

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Continuing with the random walk data: We will be bootstrap sampling the prior data to get estimates of what the next series of samples could look like.
3:37
Visualizing Random Walk Data, Part 3
In this video we start with some data from a random process. Each piece of data represents a small time period and change in value. Think of it as something like a stock ticker, very noisy with a larger trend upward. From the patterns in this random
3:39
Visualizing Random Walk Data, Part 1
I have some data showing how many people come into and leave a group over time. I wanted to see the retention of members from one month to the next. Using area plots I was able to make a “stacked area plot” to get the visualization I wanted.
3:40
Visualizing Retention Data over Time in MATLAB
This week we do a code review of some random walk data, making a heatmap with adjoining histograms to better understand the distribution of data. It shows the implementation of visualizations discussed earlier.
4:17
Visualizing Random Walk Data, Part 2

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