planear não é pilotar o Project
Posted by Armando Brito Mendes | Filed under materiais para profissionais, planeamento
Planejar não é pilotar o Project (ou qualquer outro software de planejamento)… atualmente há diversos softwares de planejamento, com diferentes níveis de detalhes e possibilidades. Aprender a utilizar estes softwares não é tão difícil (pelo menos o básico), porém é preciso entender que estes softwares são uma ferramenta de planejamento, não são O Planejamento.
Tags: gestão de projetos, qualidade
where others talk like you do
Posted by Armando Brito Mendes | Filed under visualização
North Carolina State statistics graduate student Joshua Katz already mapped dialect across the United States, and now there’s a fun addition in quiz form. Answer the 25-question survey (or the more detailed 140-question version if you dare), and you get a map of language similarity. More specifically, the result maps shows the probability that someone in that area understands what you’re saying.
Tags: belo, inquéritos, mapas, text mining
Excel: Esconder valores duplicados
Posted by Armando Brito Mendes | Filed under materiais para profissionais, software
Duplicate values aren’t wrong or bad, but they can be distracting. You probably won’t want to delete them, but you might just want to hide them. For example, the simple sheet below repeats date values in column A. In a reporting scenario, those duplicate dates might be annoying.
Tags: Excel, programação em folha de cálculo
Rattle: A Graphical User Interface for Data Mining using R
Posted by Armando Brito Mendes | Filed under estatística, materiais ensino, materiais para profissionais, software
Rattle (the R Analytical Tool To Learn Easily) presents statistical and visual summaries of data, transforms data into forms that can be readily modelled, builds both unsupervised and supervised models from the data, presents the performance of models graphically, and scores new datasets.
Tags: data mining, R-software, software estatístico, text mining
Data no visualizing.org
Posted by Armando Brito Mendes | Filed under data sets, estatística
Connect with expert sources and join the discussion on Data Channels
Tags: análise de dados, belo, data mining
visualizing.org
Posted by Armando Brito Mendes | Filed under materiais para profissionais, visualização
A community of creative people
making sense of complex issues
through data and design — join us
Visualizations Explore the best in data visualization and infographics created by our community
Visualizations Upload, host, and showcase your work under CC license
Open Data Find and discuss new data sets from NGO’s, governments and other sources, curated by Visualizing
Data Channels Engage with the scientists behind the data sets on Visualizing and explore related visualizations uploaded by our community
Visualizing Player Take advantage of the first-ever player for data visualization and infographics. Embed away!
Challenges Sharpen your skills and win unique prizes by entering our data visualization challenges
Visualizing Marathons A one-of-a-kind global series of 24-hour student data viz competitions
Partners Visualizing collaborates with a wide range of Academic, Knowledge, and Media Partners
Tags: belo, Estat Descritiva
Reddit Data Is Beautiful
Posted by Armando Brito Mendes | Filed under estatística, software, visualização
Data is Beautiful
A place for visual representations of data: Graphs, charts, maps, etc.
Rules
- A post must be a data visualization.
- Link to original authors or tag as [OC] if you made it.
- Questions must include a visualization. more info
- Infographics belong in /r/infographics
Infographic vs. Visualization? Data from Star Trek? Data ARE? How do I make one? Read the FAQ
Related
- Datasets
- Infographics
- MapPorn
- RedactedCharts
- SampleSize
- Statistics
- Tableau
- Visualization
- Wordcloud
- Wikimedia Commons
Tags: análise de dados, belo, IBM SPSS Statistics, R-software, software estatístico
Visualization archives on FlowingData
Posted by Armando Brito Mendes | Filed under visualização
Download data from a site of interest and learn all you can about it. Analyze, try to answer your own curiosities, and of course, visualize it. Try to apply what you’ve learned from the books and tutorials to your own data. And I’m not gonna lie: It might be rough at first and maybe frustrating, but you’ll get there.
I gathered some resources a few years ago on where to find data. Some of the sites are dead now, but it should give you a good idea of where to get some spreadsheets and CSV files. If you’re lucky, you might find data sources in PDF format. Have fun with that.
After that, download R, mess around with a trial version of Tableau, get your Data-Driven Documents on, or even try to push Excel to the limit.
If you’re still not sure where to begin, find a visualization you like and try to reproduce it. If it’s a good one, you’ll probably discover that making the graphic is a lot harder than you expected. Totally normal. The FlowingData archive provides plenty of examples.
Tags: belo, data mining
Data-Driven Documents D3.js
Posted by Armando Brito Mendes | Filed under materiais para profissionais, software, visualização
D3.js is a JavaScript library for manipulating documents based on data. D3 helps you bring data to life using HTML, SVG and CSS. D3’s emphasis on web standards gives you the full capabilities of modern browsers without tying yourself to a proprietary framework, combining powerful visualization components and a data-driven approach to DOM manipulation.
Download the latest version here:
Or, to link directly to the latest release, copy this snippet:
<script src="http://d3js.org/d3.v3.min.js" charset="utf-8"></script>
The full source and tests are also available for download on GitHub.
Tags: belo, desnvolvimento de software
Hint.FM a site for visualization expriments
Posted by Armando Brito Mendes | Filed under visualização
Taking a step away from books, academic papers are another great resource, which often gets overlooked. The great part is that most people put their published papers online these days, in non-walled spaces. Some papers are too technical and use a lot of jargon, but there are many good (practical) ones to learn from.
For example, Jeffrey Heer and his students from Stanford produce fine papers. Fernanda Viegas and Martin Wattenberg, both now at Google, wrote applicable papers back when they were at IBM.
Tags: belo