In ma previous post, Creating Jump Plot, we used Bézier function for drawing the curves. But Bézier curve is not the sole option.

Today, we would like to show you how to use the familiar Sine function and Triangular function for drawing those curves.

Introduction

Jump Plot is used in visualizing process measurement.

In my research regarding Bézier curve, I finally got a chance to have a closer look at Chris DeMartini's masterful vizzes. By taking apart his jump plots, I found something strange.

The other day, Rajeev Pandey asked me a question regarding the calculation in his dashboard privately. I didn't have time to look into it. Fortunately the gracious Simon Runc found that the issue was in data densification.

How to chart user growth? Sounds like a simple question. Yet I got asked a number of times on the topic. It may not be as straightforward as one might have thought. Seems no one is documenting it. So I decided to write it down.

Ups and downs are the simplest indicators of trends. They are so simple that they may entice people to look further into the data. Just want to emphasize they are simple but important to data visualization.

Chris Mc on Twitter is kind of amazed that a rather sophisticated graph like Julia Set can be generated using only 8 rows of data.

OMG EIGHT rows of data !!!! I've often thought of doing this, just never got around to trying.

The fractals are always fascinating. I am totally mesmerized by it. Inspired by Zen Master Noah Salvaterra's work, here I created the Julia set using Tableau alone for both generating all the data marks and visualizing them, without using external tools like Python or R.

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