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Visualize This: The FlowingData Guide to Design, Visualization, and Statistics

Visualize This: The FlowingData Guide to Design, Visualization, and Statistics

Welcome to Apache Pig! PiratePad para editar en tiempo real Otros de los espacios que ofrecen edición en tiempo real: PiratePad es un espacio creado por el Partido Pirata. La herramienta te permite crear/editar un documento de manera colectiva. Es como una especie de "pizarra virtual" para compartir ideas. Para crear el espacio se ha utilizado el código de EtherPad comprado por Google para desarrollar Google Docs pero al parecer Google liberó el código Se empieza a crear el documento directamente sin necesidad de registro, copiamos la dirección del enlace y lo compartimos con aquellas personas con las que vamos a trabajar. El programa asigna un color de texto a cada persona y así resulta fácil identificar las propuestas de cada cual y las modificaciones.

Staggering excess Business Insider calls this stacked bar chart "staggering" (link). Maybe they are referring to its complexity. Is there a reason to include all the fine details? It turns out there is an easy way to fix this chart. Instead of taking data from the right side of this tree, we can take data from the aggregated levels. It's amazing how much more we learn from this chart even though it has less data than the previous one. Similarly, we can plot a chart at the level of physical, psychological, social, etc., and it would still be much more readable than the "staggering" one. PS.

Intro to rCharts Home FlowingData | Data Visualization and Statistics Add Text Annotations to ggplot2 Faceted Plot In my experience with R learners there are two basic types. The “show me the code and what it does and let me play” type and the “please give me step by step directions” type. I’ve broken the following tutorial on plotting text on faceted ggplot2 plots into 2 sections:The Complete Code and Final OutcomeA Bit of Explanation Hopefully, whatever learner you are you’ll be plotting text on faceted graphics in no time. Section 1: The Complete Code and Final Outcome Section 2: A Bit of Explanation The following portion of the tutorial provides a bit more of a step by step procedure for plotting text to faceted plots as well as a visual to go with the code. The initial non annotated plot First, let’s make a faceted line plot with the mtcars data set. Add text to each facet The key here is a new data frame with three pieces of information (ggplot2 seems to like information given in a data frame). Coordinates to plot the textThe faceted variable levelsThe labels to be supplied Like this: Like Loading...

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