Map of Best Breweries in America

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Um mapa com as melhores produtoras de cerveja artesanal nos EUA e uma rota otimizada com algoritmos genéticos

RateBeer puts out a list every year for top 100 breweries in the world. The rankings are based on reviews, range across styles, and historical performance (and maybe a bit of subjectivity). RateBeer just published the list for 2018. Here’s a map of the 73 U.S.-based breweries.

Brewery Road Trip, Optimized With Genetic Algorithm

Now that we know where they are, let’s find out how to visit all of them in one go.

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Time Series Analysis using R-Forecast package

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Demonstra algumas das funcionalidades do pacote R forecast

In today’s blog post, we shall look into time series analysis using R package – forecast. Objective of the post will be explaining the different methods available in forecast package which can be applied while dealing with time series analysis/forecasting.

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Raynald’s SPSS Tools

Reynald SPSS

Bons recursos sobre SPSS e ligação com R e Pyton

Raynald’s SPSS Tools

The collection of syntaxes, macros, scripts and hints for better solutions of data management and data analysis problems in IBM SPSS Statistics

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R and the Nobel Prize API

Blog com vários tutoriais para usar estatísticas não paramétricas simples em R

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Um bom exemplo do que se pode fazer com o R e uma API q serviços de dados.

he Nobel Prizes. Love them? Hate them? Are they still relevant, meaningful? Go on admit it, you always imagined you would win one day.

Whatever you think of them, the 2015 results are in. What’s more, the good people of the Nobel Foundation offer us free access to data via an API. I’ve published a document over at RPubs, showing some of the ways to access and analyse their data using R. Just to get you started:

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Ternary Diagrams Using R

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Exemplo de criação de diagramas ternários no R

Ternary Diagrams Using R:  An Example Using Election Outcomes

A tutorial by D. M. Wiig

In part one of this tutorial I discussed creating a ternary diagram using a simple data frame that contained five hypothetical cases. In this tutorial I will expand on that foundation by creating a more informative ternary diagram using live data.

A useful application of this package in social science research is creating a visual display of parliamentary election outcomes. Specifically we can use a ternary graph to examine the distribution of seats in the British House of Commons over a period of time. Since the UK uses a proportional system to allocate seats in the House of Commons there can be a variety of outcomes in any given national election.

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Statistical Atlas

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Um projeto em curso que pretende criar mapas temáticos de todos os dados existentes nos EUA, ambicioso, não?

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Real Chart Rules to Follow

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Excelente guia sobre construção de gráficos para representar dados.

There are a lot of “rules” for visualization. Some are actual rules, and some are suggestions to help you make choices. Many of the former can be broken, if that’s what the data dictates and you know what you’re doing.

But, there are rules—usually for specific chart types meant to be read in a specific way and with few exceptions—that you shouldn’t break. When they are, everyone loses. This is that small handful.

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Ternary Diagrams Using R

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Ensina a construir um diagrama ternário no R

Ternary Diagrams Using R: The ggtern Package

A tutorial by Douglas M. Wiig

There are a number of very useful and popular graphics packages available for R such as lattice, ggplot, ggplot2 and others. Some of these offer general purpose graphics capabilities and others are more specialized. A recently developed extension to the ggplot2 package is ggtern. This package is essentially a wrapper for a number of functions that can be used to create a variety of ternary diagrams. Ternary diagrams are useful when analyzing the relationship among three factors or elements. A ternary diagram essentially represents the proportions of three related factors in two-dimensional space.

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Comprehensive Guide to Data Visualization in R

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Bom resumo de alguns tipos de gráficos que podem ser obtidos no R, do mais simples a alguns mais complexos.

This visualization (originally created using Tableau) is a great example of how data visualization can help decision makers. Imagine telling this information to an investor through a table. How long do you think you will take to explain it to him?

With ever increasing volume of data in today’s world, it is impossible to tell stories without these visualizations. While there are dedicated tools like Tableau, QlikView and d3.js, nothing can replace a modeling / statistics tools with good visualization capability. It helps tremendously in doing any exploratory data analysis as well as feature engineering. This is where R offers incredible help.

R Programming offers a satisfactory set of inbuilt function and libraries (such as ggplot2, leaflet, lattice) to build visualizations and present data. In this article, I have covered the steps to create the common as well as advanced visualizations in R Programming.

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R news and tutorials R bloggers

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Montes de blogs sobre R.

Here you will find daily news and tutorials about R, contributed by over 573 bloggers.

Top 3 Posts from the past 2 days

Top 9 articles of the week

  1. Installing R packages
  2. In-depth introduction to machine learning in 15 hours of expert videos
  3. New Version of RStudio (v0.99) Available Now
  4. Using apply, sapply, lapply in R
  5. Review of ‘Advanced R’ by Hadley Wickham
  6. Scatterplots
  7. An R Enthusiast Goes Pythonic!
  8. Open data sets you can use with R
  9. Basics of Histograms

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