I'm looking for examples of well-designed scientific figures. As a materials scientist I've encountered many horrendous figures that are difficult to understand and read. I've read about collaborations between graphic design and physical science departments, which yield much more attractive and informative figures, but these examples are few and far between. I'm hoping to apply principles from good graphic design and data visualization to my own work. Are there any resources or websites where I can learn more about this?
We are working on simple machine language in computer science for data manipulation. All the other problems I have gotten through but this last one. Here is the problem: "Write a short program in machine language to perform requested activity. Assume the program is placed in memory starting at address 00- -If the value stored in memory location 44 is 00, then place the value 01 in memory location 46; otherwise, put the value FF in memory location 46." Lots of questions inside DX Working with very basic Op-code and Operand setups. [more inside]
In my last question, I asked for algorithms that changed the world. Now I'd like to know, what are the data structures that changed the world? [more inside]
I'm in the earliest possible stages of building a web interface that will make it easy to display, graph, download, summarize, and interact with a wide variety of data. If you use scientific data from the internet, what are some of the websites you've encountered that make using data the easiest, most intuitive, and give you the best control? Also, what are some must-have features for you, and some of the best and worst design decisions the site builders have made? [more inside]
Is there a science of division? (i.e. Models of the phenomenon that communities often split into two blocs with some degree of mutual antagonism. And/or empirical data that such models could be compared against.) [more inside]
I'd like to learn about data science. Things like predictive modelling, regression and classification and so on. What would be good books or online courses to start with?
Was reading about microchips that are designed to allow a few mistakes (known as 'Sloppy Chips'), and pondering equivalent kinds of 'coding' errors and entropy in biological systems. Can a fair comparison be made between the two? [more inside]
Can you help me figure out number of papers per year for a few top journals? [more inside]
Is my head actually that big, relatively? [more inside]
Please point me to quality books, articles, etc which argue both for and against the use of quantitative research techniques in the social sciences, particularly in political science and public policy. [more inside]
What's the best way to safeguard my backups from the effects of a solar storm? Should I worry about that at all? [more inside]
Statistics question: is it possible to test sets of cumulative data for significant differences in rate? [more inside]
Please help me convince my in-laws not to take colloidal silver (silver water). [more inside]
In data graphing and visualization, are there any existing standards for false-color or pseudo-color images?
What are the best online resources for scientific data? [more inside]
A statistics / scientific convention question. I've noticed in scientific journals that often when a set of data is presented with values normalized to one of the sample groups, and the value for that sample group is arbitrarily set to 1, 10, 100 or whatever, to simplify interpretation, the variability/error data for that one sample group is left out. Is there a good statistical reason for that or is it just some random convention with no good reason? [more inside]
I am looking for an index data structure and query algorithm to solve a specific problem. Each row in the table represents a range, with a start/end value; I want to look up all the rows that overlap a certain value. [more inside]