lamamama:

Basically what I hear whenever Joffrey’s on screen

70,940 notes

carly-mcintyre:

“The rose she had offered was truly an enchanted rose, which would bloom until his 21st year. If he could learn to love another, and earn her love in return by the time the last petal fell, then the spell would be broken. If not, he would be doomed to remain a beast for all time. As the years passed, he fell into despair and lost all hope. For who could ever learn to love a beast?”

carly-mcintyre:

“The rose she had offered was truly an enchanted rose, which would bloom until his 21st year. If he could learn to love another, and earn her love in return by the time the last petal fell, then the spell would be broken. If not, he would be doomed to remain a beast for all time. As the years passed, he fell into despair and lost all hope. For who could ever learn to love a beast?”

307 notes

alexainslie:

The increasing scale and availability of digital data provides an extraordinary resource for informing public policy, scientific discovery, business strategy, and even our personal lives. To get the most out of such data, however, users must be able to make sense of it: to pursue questions, uncover patterns of interest, and identify (and potentially correct) errors. In concert with data-management systems and statistical algorithms, analysis requires contextualized human judgments regarding the domain-specific significance of the clusters, trends, and outliers discovered in data. Visualization provides a powerful means of making sense of data. By mapping data attributes to visual properties such as position, size, shape, and color, visualization designers leverage perceptual skills to help users discern and interpret patterns within data.

A single image, however, typically provides answers to, at best, a handful of questions. Instead, visual analysis typically progresses in an iterative process of view creation, exploration, and refinement. Meaningful analysis consists of repeated explorations as users develop insights about significant relationships, domain-specific contextual influences, and causal patterns. Confusing widgets, complex dialog boxes, hidden operations, incomprehensible displays, or slow response times can limit the range and depth of topics considered and may curtail thorough deliberation and introduce errors. To be most effective, visual analytics tools must support the fluent and flexible use of visualizations at rates resonant with the pace of human thought.  Heer, Shneiderman

9 notes

lead character/ tutorial face

lead character/ tutorial face

Design has an agenda. Expectations of the web change rapidly
Lecture 2

weloveblackmilk:

NEW GIVE AWAY!!!!!! $200 AUD!!!!!UNLIMITED REBLOGS!!!!!Finishes in 7 days at 3pm!!!!! just before the New Release so you can buy till your heart is content :D :D LOVE K, N and the Black Milk Team 

weloveblackmilk:

NEW GIVE AWAY!!!!!! $200 AUD!!!!!
UNLIMITED REBLOGS!!!!!
Finishes in 7 days at 3pm!!!!! just before the New Release so you can buy till your heart is content :D :D

LOVE K, N and the Black Milk Team 

21,750 notes

ambivalentme:

                              Some lovely Big cat moms and their cub shots

645,540 notes