Skip to main content

Four qualities of good graphical visualisations

1. Show the data without distorting it.
Point_1

2. Present a large amount of data and remain coherent.

3. The technique used to create the graphic should not interfere with the user reasoning about the data. 

4. Reveal both a broad overview of the data, but keep enough detail for the curious viewer.

Comments

Popular posts from this blog

The Increased Addictiveness of Today's Video Games

This is a guest post by Miles Walker, a freelance writer and blogger who usually  compares car insurance  deals over at CarinsuranceComparison.Org. His most recent review looked at the best  car insurance quotes . Video games have always held some addiction, but now more than ever that addiction is growing. People are spending more time than ever playing the games, and game designers are constantly finding new ways keep it that way. Their efforts have a been a complete success, and some games have true addicts, addicts who play 24 hours a week or more. Visual enhancements Video games have come a long way since a certain duo of Italian plumbers started showing up in people's houses in the late 1980s. By leaps and bounds, video game graphics have become alarmingly sophisticated. Each graphical improvement increased a game's possibilities and added more depth to video games. Designers began thriving on this depth, making games with more achievements, unlocks, levels an

Project planning in a text file

Whenever you work on a project it is important to be able to plan it ahead of time. This holds true for small and big project, from planning a trip to the spa to building a spaceship. The small project plans can be maintained in you thoughts while bigger ones require tools to help you see the big-picture of the project and manage task at a lower level. There are projects which start with a fully prepared plan and projects which pivot overnight, thus invalidating any original plan. For the latter flexibility is very important, and tools like Trello offer a great solution because they can be adjusted to fit your project. However, it may happen sometimes that the project starts adjusting to the tool or that you still want to maintain a bigger picture of the main points of the project. You may also need to produce a rough development schedule to serve as a long term road-map. I have prototyped a tool (and defined a workflow) which allows you to plan such projects. To better understa

Basic cell counting and segmentation in Matlab

Counting cells manually is a tedious error prone process for humans. Given a large data set of microscopy images this task can be achieved much faster by means of basic computer vision techniques. In this tutorial we will segment cells from an image following a method similar to the one presented by Yongming Chen in 1999. The method uses basic morphological operations  and the watershed algorithm to segment the cells. Nowadays better methods for cell segmentation exist. This method was chosen for its simplicity and ease of implementation. We start with an image of cell-like structures by Anna-Katerina Hadjantonakis and Virginia E Papaioannou . A = imread('cells.jpg'); We convert the image to grayscale: I = rgb2gray(A); To be able to extract the dimmer cells, it is necessary to perform some local contrast adjustments I = adapthisteq(I); Objects on the borders can be caused by noise and other artifacts. We can eliminate objects on the borders