Infografía de Aron Ralston el héroe de un brazo

Infografía de Aron Ralston el héroe de un brazo

Les dejo esta infografía porque tiene una paleta de color adecuada, un uso de tipografía que destaca la información puntual y relevante, maneja información espacial, cualitativa, instruccional y de proceso. También vean el uso flexible de una retícula. Y mismo lenguaje gráfico.

Del blog de Efren sin acento en Blogspot. http://yosoyefrensinacento.blogspot.mx/2012/10/me-gusta-hacer-infografias.html

Como hacer una gráfica en illustrator

How to Make a Graph in Adobe Illustrator

 
By NATHAN YAU

Done graph

You can use the vector-based software normally reserved for designers and artists to make and edit charts.
 
 

Most of us create graphs with actual graphing software. Maybe it’s Microsoft Excel. Maybe it’sR. Whatever it is though it’s usually specialized for analysis. What if you want to make a graphic for a publication or a presentation that’s polished and fully customized? Adobe Illustrator gives you the control you need to do this. It’s not graphing software. It’s illustration software, but once you get the hang of things, Adobe Illustrator can be a valuable tool in your visualization arsenal.

In the rest of this post, I’ll go over the steps to make the above graph in Illustrator. I used the U.S. immigration data from our recent contest.

Familiarize Yourself with Toolbox

Adobe Illustrator has a large toolbox, but for your basic graph, you only need to familiarize yourself with a few of the available tools — selection, direct selection, pen, type, and graph.

The selection tool lets you place focus on a group of objects; direct selection lets you choose individual objects like a line segment; pen tool lets you draw straight lines; type tool is used to put words in your graphic; and finally the graph tool lets you make different types of graphs.

Don’t worry, these tools will make more sense as we go through the examples.

Read the Data Into Illustrator

Start a new Illustrator document, and select the graph tool. Left click and drag. A rectangle appears that sizes according to how far you drag. This is initially how big your graph will be. You can always change it later so no need to fret about it. You’ll immediately see a grid once you let go of the mouse button (shown below). That’s where you put your data. You can manually enter data points like you would in Excel, but it’s easier to cut and paste data from Excel into the grid in Illustrator.

In this example (remember, we’re dealing with the immigration data), the first column is Europe, second column is Asia, so on and so forth. Click on the check in the top right corner of the grid box. The default grayscale bar chart will show up.

Change the Default Graph

We don’t want a bar chart though. We want a stacked area graph. Close the grid box, and then right click on the graph (currently a bar chart). Select Type. This will give you the following menu.

Select the icon for area graph, and your graph will change accordingly:

Okay, now we have our base. It’s time for the fun part now — customization. You could leave it like this, but the whole point of using Illustrator in the first place is to make a publication-level graph. Otherwise, we’d be better off using Excel. Onward ho.

Customize the Graph

Right click on your graph (now an area chart), and click on ungroup and click on OK:

The reason for this is because the graph is initially created as a group, or single entity, but what we really want to get at is the individual elements like the axes and labels. You can modify individual elements without ungrouping, but it’s easier if you do this way. So ungroup. After that, some elements will still be grouped together (e.g. the polygon shapes), but like before, you can right click and select Ungroup. You’ll know right away if some elements are groups or not when you select an element with the selection tool. Try using the direct selection tool to select individual elements without ungrouping.

Once you’ve got that down, you can pretty much do whatever you want to the graph. I chose to add some color, change the font and font size, and extend the axes all the way across.

Annotate the Graph

I usually leave annotation to the very end, because I like to place labels in a way that doesn’t bring clutter. Use the Type Tool to add text. Select the tool, click where you want to add text, and, like you’d expect, Illustrator will prompt you for some wordage.

Here’s the finished product. I added a title, some lead-in text, removed the top grid line, and added years to the x-axis.

Of course, I could have added more history to the graph, optimized the colors, size, dimensions, etc., but that’s out of the scope of this tutorial. What I hope that you take away from this tutorial is that Illustrator offers you a lot of flexibility that other pure graphing solutions don’t. So if you’ve got a report or paper to publish, then you might want to consider cleaning up with Illustrator.

There’s a reason almost all of The New York Times’ graphics pass through Illustrator at some point in its life cycle. It’s a little tricky at first, but once you get the hang of it, you’ll see it’s well worth the effort.

Here is the Adobe Illustrator file for the above graph, if anyone is interested.

For more examples, guidance, and all-around data goodness like this, pre-order Visualize This, the upcoming FlowingData book.

 
 
 
 

Ejercicio #1.0 Curriculum Vitae

Un ejercicio de la clase de Laboratorio de la UAM-C  donde se les pidió a los alumnos realizaran un CV con el objetivo de lograr una entrevista de trabajo para una empresa en particular. A continuación se muestran los CV de cada alumno después de revisarlo les pido que pongan la empresa que tienen y mencionen solo 3 de los alumnos a los que entrevistarían.

Muchas Gracias

Instrucciones para alumnos: Suban su CV con su nombre fecha y datos de la empresa a la que dirigen su mensaje.

Donovan Cazares Infografía UAM-C

Donovan Cazares
Infografía
UAM-C

Alberto Martínez Cerón Infograía UAM-C

Alberto Martínez Cerón
Infograía
UAM-C

Lourdes V. Salgado Infografía UAM-C

Lourdes V. Salgado
Infografía
UAM-C

Patricia Acosta Jiménez Infografía  UAM-C

Patricia Acosta Jiménez
Infografía
UAM-C

Mauricio Armenta Infografía UAM-C

Mauricio Armenta
Infografía
UAM-C

Stephany Juárez Infografía UAM-C

Stephany Juárez
Infografía
UAM-C

Nydia J. Muciño Infografía UAM-C

Nydia J. Muciño
Infografía
UAM-C

Montserrat Nava  Infografía UAM-C

Montserrat Nava
Infografía
UAM-C

Griselda Pazarán Infografía UAM-C

Griselda Pazarán
Infografía
UAM-C

Andres Vazquez Infografía UAM-C

Andres Vazquez
Infografía
UAM-C

Juan Carlos Peña Infografía UAM-C

Juan Carlos Peña
Infografía
UAM-C

Sergio Castillo Infografía UAM-C

Sergio Castillo
Infografía
UAM-C

Itzel Hernández Infografía UAM-C

Itzel Hernández
Infografía
UAM-C

Daniel Kobelkowsky Infografía UAM-C

Daniel Kobelkowsky
Infografía
UAM-C

María Jose Ros Infografía UAM-C

María Jose Ros
Infografía
UAM-C

cv

Victor Calzada Infografía UAM Cuajimalpa

Victor Calzada
Infografía
UAM Cuajimalpa

Alberto Martínez  Infografía UAM-Cuajimalpa

Alberto Martínez
Infografía
UAM-Cuajimalpa

Un proyecto donde la gente ayuda a registrar datos

Un proyecto donde la gente ayuda al registro de datos en una investigación Este proyecto me parece muy importante para los chicos de las abejas pues de alguna manera hace participe a la gente para recopilar datos y en este caso saber cuando y como llegaran las cigarras, denle un vistazo que tenemos todos los recursos para hacer algo parecido en la UAM.

Saludos
Nora Morales

30 herramientas para la visualización de Datos

30 Simple Tools For Data Visualization

NEED A SIMPLE TOOL TO CREATE A FANTASTIC DATA VISUALIZATION? HERE ARE 30.

There have never been more technologies available to collect, examine, and render data. Here are 30 different notable pieces of data visualization software good for any designer’s repertoire. They’re not just powerful; they’re easy to use. In fact, most of these tools feature simple, point-and-click interfaces, and don’t require that you possess any particular coding knowledge or invest in any significant training. Let the software do the hard work for you. Your client will never know.

1. iCharts

iCharts is a platform that connects the publishers of market research, economic and industry data with professional consumers. iCharts hosts tens of thousands of charts in business, economy, sports, and other categories. iChart makes it simple for people to discover and follow the world’s latest data insights. iCharts provides cloud-based and patented charting tool that enable companies and individuals to brand, market, and share their data as chart content to millions of viewers across the web. icharts provides free accounts to the users which let you create basic interactive charts, while you can buy the premium version as well with tons of features. Charts can have interactive elements, and can pull data from Google Docs, Excel spreadsheets, and other sources. [Link]

2. Fusion Charts Suit XT

FusionCharts Suite XT is a professional and premium JavaScript chart library that enables us to create any type of chart. It uses SVG and has support for 90+ chart types, including 3-D, gantt, funnel, various gauges, and even maps of world/continents/countries/states. Also, most of the charts have both 2-D and 3-D versions. Charts are completely customizable. The labels, fonts, colors, borders, etc. can all be changed. And, they are heavily interactive with tooltips, clickable legend keys, drill-down, zooming/scrolling, and one-click chart export or print. [Link]

3. Modest Maps

Modest Maps is a small, extensible, and free library for designers and developers who want to use interactive maps in their own projects. It provides a core set of features in a tight, clean package with plenty of hooks for additional functionality. [Link]

4. Pizza Pie Charts

Pizza Pie Charts is a responsive pie chart based on the Snap SVG framework from Adobe. It focuses on easy integration via HTML markup and CSS instead of JavaScript objects, although you can pass JavaScript objects to Pizza as well. You can deliver pie charts to any device with Pizza. Your pie will be steaming hot with SVG so that it looks good on retina devices and HiDPI devices. And the pie will fit the width of your box–um, container–or can be given a max-width or max-height. [Link]

5. Raw

Raw is a free and open-source web application for visualizing data flexibly and as easy as possible. It actually defines itself as “the missing link between spreadsheet applications and vector graphics editors.” The application works by loading a dataset by copy-pasting or drag ‘n’ dropping and allows us to customize the view/hierarchy. Raw is based on the popular D3.js and supports lots of different chart types like bubble, treemap, circle packing, and more. Installing Raw is pretty straightforward as everything works client-side. [Link]

6. Leaflet

Leaflet is a modern open-source JavaScript library for mobile-friendly interactive maps. It is developed by Vladimir Agafonkin with a team of dedicated contributors. Weighing just about 31 KB of JS, it has all the features most developers ever need for online maps. Leaflet is designed with simplicity, performance, and usability in mind. It works efficiently across all major desktop and mobile platforms out of the box, taking advantage of HTML5 and CSS3 on modern browsers while still being accessible on older ones. [Link]

7. Chartkick

Chartkick is a Ruby gem (also has a JavaScript API which doesn’t require Ruby) for creating good-looking charts very easily and quickly. It integrates with two charting libraries: Highcharts and Google Charts where it is possible to use the same functions for generating charts with each library. There is support for multiple chart types and multiple series in a single chart. And, like mentioned there is also Chartkick.js which brings the same functionality to the client-side, without Ruby. [Link]

8. Ember Charts

Ember Charts is a charting library built with the Ember.js and D3.js frameworks. It includes time series, bar, pie, and scatter charts which are easy to extend and modify. The out-of-the-box behavior these chart components represents their thoughts on best practices in chart interactivity and presentation. [Link]

9. Springy

Springy is a force-directed graph layout algorithm. It means that springy uses some real-world physics to try and figure out how to show a network graph in a way that looks good. Springy.js is designed to be small and simple. It provides an abstraction for graph manipulation and for calculating the layout and not too much else. The details of drawing and interaction are mostly up to you. This means you can use canvas, SVG, WebGL, or even just a plain old positioned HTML element. [Link]

10. Bonsai

Bonsai is an open-source JavaScript library for creating graphics and animations. The library renders the outputs using SVG and comes with an intuitive, feature-rich API. There is support for creating simple shapes (rectangle, circle, ellipse, etc.) with specific functions and a path() function exists for drawing any custom shapes. It is possible to apply colors, gradients and filters (grayscale, blur, opacity and more) to these shapes. Many mouse (or touch) and keyboard events are already built-in to the library and they can be managed easily. [Link]

11. Google Charts

Google Charts provides a perfect way to visualize data on your website. From simple line charts to complex hierarchical tree maps, the chart gallery provides a large number of ready-to-use chart types. It’s an especially useful tool for specialist visualizations such as geocharts and gauges, and it also includes built-in animation and user interaction controls. [Link]

12. jsDraw2DX

jsDraw2DX is a standalone JavaScript library for creating any type of interactive graphics with SVG (and VML for old IE browsers). Besides the ability to generate all basic shapes like line, rectangle, polygon, circle, ellipse, arc, etc., the library can draw curves, beziers (any degree), function plots, images and decorated text. [Link]

13. Cube

Cube is an open-source system for visualizing time series data, built on MongoDB, Node, and D3. If you send Cube timestamped events (with optional structured data), you can easily build real-time visualizations of aggregate metrics for internal dashboards. For example, you might use Cube to monitor traffic to your website, counting the number of requests in five-minute intervals. [Link]

14. Gantti

Gantti is an open-source PHP class for generating Gantt charts on-the-fly. The charts created are pure HTML5-CSS3 with no JavaScript involved. The output looks very nice by default but can be customized with ease (with SASS stylesheet). It simply works by defining an array of start/end dates and calling a single function. Also, charts are cross browser (IE7+). [Link]

15. Smoothie Charts

Smoothie Charts is a really small charting library designed for live streaming data. Joe Walnes wanted to show real-time streaming data pushed over a WebSocket. Although many of the charting libraries allow you to dynamically update data, none have really been optimized for a constant stream of data. Smoothie Charts only works on Chrome and Safari. And it doesn’t support legends. Or pie-charts. In fact, it’s inferior in virtually every way to a library like Flot. But, it’s very good at displaying streaming data. [Link]

16. Envision.js

Envision.js is a JavaScript library to simplify creating fast and interactive HTML5 visualizations. It comes with two chart types; TimeSeries + Finance and with an API for developers to build custom charts. The library is built on top of Flotr2 and the HTML5 Canvas. It is framework agnostic and depends on few micro libraries. [Link]

17. BirdEye

BirdEye is the Declarative Visual Analytics Library. It is a community project to advance the design and development of a comprehensive open-source information visualization and visual analytics library for Adobe Flex. The action script-based library enables users to create multi-dimensional data visualization interfaces for the analysis and presentation of information. [Link]

18. Arbor.js

Arbor.js is a graph visualization library built with web workers and jQuery. It provides an efficient, force-directed layout algorithm, abstractions for graph organization and screen refresh handling. The library doesn’t force a specific method for screen-drawing and you can use it with canvas, SVG, or even positioned HTML elements; the best one that fits your project. Arbor.js simply helps you focus on the graph data and its style rather than spending time on the physics math that makes the layouts possible. [Link]

19. Gephi

Gephi is an interactive visualization and exploration platform for all kinds of networks and complex systems, dynamic and hierarchical graphs. Gephi, a graph-based visualiser and data explorer, can not only crunch large data sets and produce beautiful visualizations, but also allows you to clean and sort the data. [Link]

20. HighChartjs

Highcharts JS is a charting library written in pure JavaScript, offering an easy way of adding interactive charts to your web site or web application. Highcharts JS currently supports line, spline, area, areaspline, column, bar, pie, and scatter chart types.

It works in all modern browsers including the iPhone and Internet Explorer from version 6. Setting the Highcharts configuration options requires no special programming skills. The options are given in a JavaScript object notation structure, which is basically a set of keys and values connected by colons, separated by commas and grouped by curly brackets. [Link]

21. Javascript InfoVIS Toolkit

“The JavaScript InfoVis Toolkit provides tools for creating Interactive Data Visualizations for the Web.” This library has a number of unique styles and swish animation effects, and is free to use. [Link]

22. Axiis

Axiis is an open-source data visualization framework designed for beginner and expert developers alike. Axiis gives developers the ability to expressively define their data visualizations through concise and intuitive markup. Axiis provides both pre-built visualization components as well as abstract layout patterns and rendering classes that allow you to create your own unique visualizations. Axiis was designed to be a granular framework, allowing developers to mix and match components and build complex output by compositing together basic building blocks. [Link]

23. Protovis

Protovis is a visualization toolkit for JavaScript using the canvas element. It takes a graphical approach to data visualization, composing custom views of data with simple graphical primitives like bars and dots. These primitives are called marks, and each mark encodes data visually through dynamic properties such as color and position. Although marks are simple by themselves, you can combine them in interesting ways to make rich, interactive visualizations. [Link]

24. HumbleFinance

HumbleFinance is an HTML5 data visualization tool that looks and functions similar to the Flash chart in Google Finance. It makes use of the Prototypeand Flotr libraries and is not limited to displaying financial data but any two 2-D data sets which share an axis. The data needs to be stored in JavaScript variables and requires three parameters to be set before running the function to create the chart. It is possible to manually select a part of the data (with a slider-like interface) and zoom to that part. This is a very useful function when working with large datasets. [Link]

25. D3.js

D3 is a small, free JavaScript library for manipulating HTML documents based on data. D3 can help you quickly visualize your data as HTML or SVG, handle interactivity, and incorporate smooth transitions and staged animations into your pages.

D3 is not a traditional visualization framework. Rather than provide a monolithic system with all the features anyone may ever need, D3 solves only the crux of the problem: efficient manipulation of documents based on data. This gives D3 extraordinary flexibility, exposing the full capabilities of underlying technologies such as CSS3, HTML5, and SVG. It avoids learning a new intermediate proprietary representation. [Link]

26. Dipity

Dipity lets you create a free digital timeline. It allows creating, sharing, embedding and collaborating on an interactive and visually attractive timelines has the ability of integrating video, audio, images, text, links, social media, location, and timestamps. [Link]

27. Kartograph

Kartograph is a framework for creating interactive maps without any mapping provider (like Google Maps). It consists of two libraries: a Python library that renders vector maps from shape files or Post GIS and converts them to SVG and a JavaScript library for turning these SVG data into interactive maps. If you already have the SVG data (for example, any drawing can be converted to SVG with Adobe Illustrator), only the JavaScript library can help too. [Link]

28. TimeFlow

TimeFlow Analytical Timeline is a visualization tool for temporal data. This tool is currently in alpha version so there is a chance of finding glitches. It provides five different displays: timeline view, calendar view, bar chart view, and table view. [Link]

29. Paper.js

Paper.js is an open-source vector graphics scripting framework that runs on top of the HTML5 Canvas. It offers a clean Scene Graph / Document Object Model and a lot of powerful functionality to create and work with vector graphics and bezier curves, all neatly wrapped up in a well-designed, consistent, and clean programming interface. Paper.js is easy to learn for beginners and has lots to master for intermediate and advanced users. Paper.js is developed by Jürg Lehni and Jonathan Puckey, and distributed under the permissive MIT License. [Link]

30. Visualize Free

Visualize Free is a free visual analysis tool based on the advanced commercial dashboard and visualization software developed by InetSoft, an innovator in business intelligence software since 1996. Visualization is the perfect technique for sifting through multi-dimensional data to spot trends and aberrations or slice and dice data with simple point-and-click methods. If you are looking for a way to visually explore and present data that standard office charting software cannot handle, Visualize Free is for you. [Link]

This article originally appeared on CodeGeekz.

[Image: Abstract via Shutterstock]

10 Aplicaciones Para Crear Increíbles Infografías

Las infografías están muy de moda, es más, hace unos días te mostrábamos elManifiesto “Haz lo que te apasiona”, siendo muy eficientes al momento de comunicar, al mismo tiempo son atractivas y actualmente las redes sociales hacen de ellas un medio muy viral como estrategia de marketing.

Para ir decorando el post y se entienda por qué esta bueno hacer infografías, comparto un video de una empresa que justamente se dedica a ésto. Porque claro, no sólo sirven para mostrar datos de una forma más bonita icon razz 10 aplicaciones para crear increíbles infografías

¿Cómo podemos crear nuestras propias infografías si no sabemos diseñar?

Esa es la pregunta que voy a responderte de ahora en más, ya que la gente de Edudemic creó un listado con 10 herramientas que cumplen dicha función y aquí la comparto con vos.

Herramientas para crear Infografías

Visual.ly: es una interesante herramienta para crear infografías que además cuenta con algunos condimentos sociales para hacerlo viral. Si bien la comunidad se esta armando, puede tener muy buenos resultados en los próximos días.

Visually Lede 730x407 10 aplicaciones para crear increíbles infografías

Dipity: muy buena herramienta para crear una infografía con estilo ‘línea del tiempo’ y volcar allí los datos que desees mostrar. Además, es una infografía interactiva, donde podrán jugar con los contenidos, crear espacios para comentarios y botones para compartirla, algo muy útil para los espacios que hoy en día tenemos disponibles. Un ejemplo que a más de un seguidor le va a gustar: la historia de Steve Jobs.

dipity 730x242 10 aplicaciones para crear increíbles infografías

Easel.ly: es una alternativa muy bonita y sencilla de usar. Si bien esta en beta, por lo que su versión web tiene cosas que mejorar, para comenzar con el tema de infografías esta bárbara. Vas a encontrar algunos templates pre-diseñados, donde con solo mover los objetos y editar los textos vas a estar creando tus propias infografías. Acá un video con algunas demostraciones.

easel.ly  10 aplicaciones para crear increíbles infografías

Venngage: es una opción que también esta en beta, y leyendo un poco el blog veo muchas cosas positivas en las que se están trabajando. Sin lugar a dudas entienden sobre Marketing de contenidos, infografías y métricas sociales, por ende, es una buena alternativa y si te animas a probarla, compartí los resultados con nosotros!

venngage 730x315 10 aplicaciones para crear increíbles infografías

Infogr.am: a simple vista la gente de Infogr.am hace las cosas bien. Es una plataforma muy social, en la cual podrás tener una cuenta con Facebook o Twitter, y crear tus infografías en base a diseños ya listos o comenzar el propio. Es de las más simples, con opción a importar datos y luego traducirlos a lo que nosotros necesitamos.

infogr.am  10 aplicaciones para crear increíbles infografías

Tableau Public: es una aplicación web como las que estuvimos viendo anteriormente pero también con su versión para escritorio en Windows. Es una herramienta interesante para proyectos donde se desea realizar un seguimiento de métricas, con infografías interactivas inclusive, basadas en lavisualización de datos con facilidad.

tableau public 10 aplicaciones para crear increíbles infografías

Photo Stats: esta es una curiosa aplicación para iPhone que analiza las fotos de tu móvil para luego convertirlas en una ingeniosa infografía. Muy simple y puede ser divertido usarla de vez en cuando. La aplicación tiene un costo de 1 dólar, nada elevado para hacer un seguimiento de la cámara de tu iPhone.

timeofday 10 aplicaciones para crear increíbles infografías

What About Me?: es una aplicación de Intel que te genera una infografía personal según tus intereses en las redes sociales, esta bueno inclusive para conocerte un poco más sobre vos y ver de qué es lo que más te gusta conversar. En mi caso, el 46% es tecnológico y el resto se divide entre comidas, música, gaming, ciencia, cultura, entre otras cosas…. menos de shopping, por qué será? icon razz 10 aplicaciones para crear increíbles infografías

what about me start chart 730x509 10 aplicaciones para crear increíbles infografías

Gliffy: es una buena opción para crear Mapas Conceptuales o Diagramas de Flujo. Te permite diagramar, hacer planos, renders, entre otras cosas con mucha facilidad. Puede convertirse en una herramienta muy útil para profesores y alumnos que quieran hacer presentaciones diferentes.

gliffy 10 aplicaciones para crear increíbles infografías

Piktochart: estoy usando Piktochart y me parece de los mejores servicios. En la versión gratuita tienen 3 themes básicos para empezar, los cuales se pueden editar por completo con muchas opciones. Las versiones PRO tienen muchas mejoras, sin embargo, para comenzar a usar el servicio les recomiendo la versión Free. Ahora estoy armando una infografía para CeroTACC, en los próximos días la comparto! icon wink 10 aplicaciones para crear increíbles infografías

piktochart 730x462 10 aplicaciones para crear increíbles infografías

Ya para terminar, y luego de leer te relajes, quiero compartir esta aplicación bastante divertida e interactiva que te creará una infografía personal en sólo 30 segundos. La misma luego podrás compartirla para saber un poco más sobre vos. Visitá ionz icon smile 10 aplicaciones para crear increíbles infografías

¿Conoces otras herramientas que puedan ser útiles al momento de crear infografías?

¡Te invito a que nos sigas por Twitter y Facebook!

Sobre el autor

   – En dudas si soy humano. Padawan. Pseudo-geek que un día fundó @cerotacc y @blogandlife. Ahora un #wineducation #tecnodiano y aprendiz eterno. Blogging ♥ SM

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