Visualization Tools. Big Data Visualization: Review of the 20 Best Tools. Big Data is amazing.
It describes our everyday behavior, keeps track of the places we go, stores what we like to do and how much time we spend doing our favorite activities. Big Data is made of numbers, and I think we all agree when we say: Numbers are difficult to look at. Enter Big Data visualization. Google, Facebook, Amazon, Apple, Twitter and Netflix all ask better questions of their data – and make better business decisions – by using data visualization. It gets better: Data visualization lets you interact with data. You might be wondering: How do I get a clean and engaging visualization for all my data? Here’s the deal: There are tools that help you visualize all your data in minutes. Whether you’re looking to wow your audience at your next presentation or you are a developer looking for a practical way to visualize large sets of data, there are amazing tools out there for both parties. Want to know the best part? How The Wall Street Journal creates mobile-friendly interactives.
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Some rights reserved. Journalists and newsroom developers can still find working together to build tools and meaningful data visualisations a challenging process. But now there's another element to consider: how will the interactive look on a smartphone? At The Wall Street Journal, the mobile aspect is at the forefront of developing graphics and interactive elements to accompany or enhance the reporting, particularly when working with large data sets. The outlet's most recent example, published yesterday, is an interactive map that shows the different levels of nitrogen dioxide across Europe and how polluted the air is in specific countries or cities due to emissions produced by diesel cars. Resources. 14 best data visualization tools for better storytelling. Posted on November 30, 2014 by Rob Petersen inShare95 If you can’t measure it, you can’t manage it. – Peter Drucker This succinct truth says you can’t know whether you are reaching your goal unless success is defined and tracked.
Data visualization is technology that lets corporate executives and other end users see data to better understand information in context. Hundreds of tools are now available to chart, create dashboards and better measure and mange data. The growth of data visualization says a mix of data and narrative is now a better way for businesses to tell their story.
Banc d’essai. Note : j’ai volontairement éliminé les outils (a) entièrement payants (b) trop moches pour être utilisés dans des rédactions (c) en Flash. Ce billet n’est consacré qu’aux outils de “visualisation”, et non de scraping ou de traitement des données (un autre billet suivra bientôt). ↑1 » Pour les novices/pressés : le clé-en-mains Ces outils gratuits ou freemium permettent de générer des graphiques ultra-rapidement en copiant-collant des données d’un tableur. Le meilleur – Datawrapper : Simple d’utilisation, sobre, rapide, Datawrapper est tout à fait satisfaisant pour la plupart des visualisations courantes.
Les + : la possibilité de personnaliser les couleurs, de mettre en évidence une série, la navigation par onglets entre les différentes séries. La boite à outils. Les outils de dataviz prennent le métro ! Tableau-dataviz. The top 20 data visualisation tools. One of the most common questions I get asked is how to get started with data visualisations. Beyond following blogs, you need to practise – and to practise, you need to understand the tools available. In this article, I want to introduce you to 20 different tools for creating visualisations: from simple charts to complex graphs, maps and infographics. Almost everything here is available for free, and some you have probably installed already. Advertisement Entry-level tools At the entry level, we'll be looking at unexpected uses for familiar tools. 1.
Outils extraction, transformation, nettoyage...