Creating Animations and Transitions With D3
Posted by Armando Brito Mendes | Filed under materiais para profissionais, SAD - DSS, visualização
In interactive visualisation, there is the word reactive. Well, maybe not literally, but close enough.
The fact is that reactivity, or the propension of a visualisation to respond to user actions, can really help engage the user in a visualisation, and help them understand its results. Both of which are usually good things. How can this reactivity be achieved? Through animations.
So I’ll go ahead and state that animation, if done right, can make any interactive data visualization better.
How is that?
- When coupled with interaction, it’s a very useful way to give feedback to the user. What has changed since their last command? If what’s on screen animates from one state to another, it’s obvious, it stands out and it makes sense. Or, when showing any form of real-time data, animation is pretty much required.
- Animation can bring focus on the important things as a chart loads. Our vision is very sensitive to movement, so using these introduction transitions sensibly helps a lot to ease the effort required to get the right information off a chart.
Tags: análise de dados, data mining, desnvolvimento de software
Handbook of Statistical Analysis and Data Mining Applications
Posted by Armando Brito Mendes | Filed under estatística, materiais ensino, visualização
Índice
1 | |
119 | |
363 | |
705 | |
789 | |
801 | |
823 | |
Tags: captura de conhecimento, data mining, text mining
Novel Views: Les Miserables
Posted by Armando Brito Mendes | Filed under SAD - DSS, visualização
Jeff Clark took a detailed look at Victor Hugo’s Les Miserables via character mentions, word connections, and word usage. The above is character mentions with color showing sentiment. Red means negative, and blue positive.
Characters are listed from top to bottom in their order of appearance. The horizontal space is segmented into the 5 volumes of the novel. Each volume is subdivided further with a faint line indicating the various books and, finally, small rectangles indicate the chapters within the books. In the 5 volumes there are a total of 48 books and 365 chapters. The height of the small rectangles indicate how frequently that character is mentioned in that particular chapter.
There’s a good amount of blue towards the end, when everyone decides everyone else isn’t so bad.
Tags: captura de conhecimento, data mining, Estat Descritiva, text mining
Women as Academic Authors, 1665-2010
Posted by Armando Brito Mendes | Filed under estatística, visualização
The Chronicle of Higher Education has a look at the percentage of academic papers published by women, over the past five centuries.
The articles and authors described in this data were drawn from the corpus of JSTOR, a digital archive of scholarly papers, by researchers at the Eigenfactor Project at the University of Washington. About two million articles, representing 1765 fields and sub-fields, were examined, spanning a period from 1665 to 2011. The data are presented here for three time periods, the latest one ending in 2010, and a view that combines all periods.
Percentage of female authors is on the horizontal, and each bubble is a subfield sized by total number of authors. The graphic starts with publishing for all years, but be sure to click on the tabs for each time span to see changes.
The data is based on the archive of about two million articles from JSTOR, and a hierarchical map equation method is used to determine subfields.
The gender classification they used for names seems like it could be nifty for some applications. Gender is inferred by comparing names against the ones kept by the U.S. Social Security Administration, which includes gender. If a name was used for female at least 95 percent of the time, it was classified as a female name, and the same was done with male. Anything ambiguous was not included in the study
Tags: análise de dados, captura de conhecimento, data mining, Estat Descritiva
Advanced Statistics
Posted by Armando Brito Mendes | Filed under estatística, materiais ensino, software, visualização
Welcome to Malbowges, the part of Nether Hell dominated by thieves, counsellors of Fraud (or should that just be counsellors), falsifiers and sowers of discord. It’s not a nice place for Sunday lunch. You must wade through rivers of Lucifer’s sputum to reach the answers you seek, and when you find those answers, you’ll probably wish you hadn’t bothered. Revenge is mine, ah ha ha, yah ha ha, ya ha ha ha ha ha ha ha ha ha …
Tags: captura de conhecimento, data mining, decisão médica, IBM SPSS Statistics, inferência, software estatístico
Introductory Statistics
Posted by Armando Brito Mendes | Filed under estatística, materiais ensino, videos, visualização
Welcome to Limbo, where the lustful, gluttonous and wrathful wander in endless torment. Here you can uncover the searing agony of SPSS, the stomach churning fear of central tendency and the rancid bile of z-scores. Good luck, you’ll need it.
Tags: análise de dados, captura de conhecimento, data mining, decisão médica, Estat Descritiva, IBM SPSS Statistics, inferência, inquéritos, software estatístico
PANDA – Practical Analysis of Nutritional Data
Posted by Armando Brito Mendes | Filed under estatística, materiais ensino, software, visualização
Chapter 1 – USING NUTRITIONAL DATA
Chapter 2 – DATA CLEANING
Chapter 3 – ONE-WAY ANALYSIS
Chapter 4 – TWO-WAY ANALYSIS
Chapter 5 – MULTI-WAY ANALYSIS
Chapter 6 – SUBMODULES
Chapter 7 – ASSESS YOUR UNDERSTANDING
Chapter 8 – KENYA REAL WORLD ANALYSIS
Building and presenting a situation analysis
Child Feeding Practices
Tags: análise de dados, decisão médica, Estat Descritiva, IBM SPSS Statistics, inferência, software estatístico
Determining the Number of Components and Factors Using Parallel Analysis and Velicer’s MAP Test
Posted by Armando Brito Mendes | Filed under estatística, software, visualização
Popular statistical software packages do not have the proper procedures for determining the number of components or factors in correlation matrices. Parallel analysis and Velicer’s minimum average partial (MAP) test are validated procedures that are widely recommended by statisticians. This paper described brief and efficient programs for conducting parallel analyses and the MAP test using SPSS, SAS, and MATLAB.
Scale development using popular statistical software packages often produces results that are baffling or misunderstood by many users, which can lead to inappropriate substantive interpretations and item selection decisions. High internal consistencies do not indicate unidimensionality; item-total correlations are inflated because each item is correlated with its own error as well as the common variance among items; and the default number-of-eigenvalues-greater-than-one rule, followed by principal components analysis and varimax rotation, produces inflated loadings and the possible appearance of numerous uncorrelated factors for items that measure the same construct (Gorsuch, 1997a, 1997b). Concerned investigators may then neglect the higher order general factor in their data as they use misleading statistical output to trim items and fashion unidimensional scales.
These problems can be circumvented in exploratory factor analysis by using more appropriate factor analytic procedures and by using extension analysis as the basis for adding items to scales. Extension analysis provides correlations between nonfactored items and the factors that exist in a set of core items. The extension item correlations are then used to decide which factor, if any, a prospective item belongs to. The decisions are unbiased because factors are defined without being influenced by the extension items. One can also examine correlations between extension items and any higher order factor(s) in the core items. The end result is a comprehensive, undisturbed, and informative picture of the correlational structure that exists in a set of core items and of the potential contribution and location of additional items to the structure.
Tags: análise de dados, captura de conhecimento, decisão médica, desnvolvimento de software, IBM SPSS Statistics, software estatístico
How long will we live — and how well?
Posted by Armando Brito Mendes | Filed under estatística, visualização
Circule entre os dois anos com informação para ver a animação.
For every year increase in life expectancy worldwide, healthy life expectancy increased about 9-1/2 months.
Tags: análise de dados, gestão de projetos
OrgOrgChart: The Evolution of an Organization
Posted by Armando Brito Mendes | Filed under planeamento, videos, visualização
The OrgOrgChart (Organic Organization Chart) project looks at the evolution of a company’s structure over time. A snapshot of the Autodesk organizational hierarchy was taken each day between May 2007 and June 2011, a span of 1498 days.
Each day the entire hierarchy of the company is constructed as a tree with each employee represented by a circle, and a line connecting each employee with his or her manager. Larger circles represent managers with more employees working under them. The tree is then laid out using a force-directed layout algorithm.
Each second in the animation is about one week of activity, and acquisitions are most obvious when big clumps of people join the company. The long-term changes are a little harder to see, because the branches in the network fade into the background. Recomputing the layout each week might be good for the next round.
Tags: modelos empresariais