saifuddin778

We have a park with some shops in it. People visit our park and shop. We track visitors.

• We plot visitors as dots, and color code them by their ethnicity/race.
• We divide visitors in quadrants of gender and age (i.e. male-young, female-young, female-old, male-old).
• We compare visitors' family-size vs their number of purchases (in some lost hope) [sub plot # 1]
• We view visitors' purchasing history, looking for how much they have shopped in the last 5 months with us. [sub plot # 2]
• We classify visitors' purchases by product categories during last 5 months. [sub plot # 3]

Boring description aside, the main purpose of this plot is to demonstrate action binds (and resulting transforms) between different containers having independent svg spaces. Also uses Ziggy Jonsson's d3.legend for quick legend drawing.

saifuddin778

sales-samples

saifuddin778

Visual representation of the process of finding convex hull for a set of random 2D points (implementation known as the Gift Wrapping or Jarvis's March algorithm).

saifuddin778

Morph vs Grayscale.

saifuddin778

Demonstration of how different real-time optimal cost finding approaches can work. This example utilizes d3's element/node caching, which gives a benefit of drastically reducing the element/node lookup time. This way, no application of select() or selectAll() is done to find and filter nodes in the directional vicinity: [(x+k, y), (x, y+k), (x+k, y+k)].

saifuddin778

An example of an unsettling, unstable color palette.

saifuddin778

Chaining Transitions, on Booboo's idea.

saifuddin778

DTW (Dynamic Time Warping) is a widely used algorithm for finding similarity metric between two time-series (T1 and T2). The idea of this algorithm is to utilize dynamic programming to figure out the most optimal alignment path (i.e. a path that minimizes the overall distance cost if we have to travel from beginning to the end of both time-series(s) while comparing them), which is constructed under some constraints.

This demonstration gives a basic idea of how this path is constructed. The original distance value is usually interpreted as the cumulative cost present at i=N, J=M, where N is the size of T1 and M is the size of T2. A very intuitive visible observation is: As the path is constructed, it avoids the traps with higher cost (red-ish).

saifuddin778

Troodon with dual perception.

saifuddin778

Troodon