HelpMeViz - Helping people with everyday data visualizations Les 20 meilleurs outils de datavisualisation au banc d’essai Que vous soyez absolument novice ou codeur amateur, il existe aujourd’hui sur le web une impressionnante palette d’outils (presque) gratuits pour réaliser des datavisualisations. 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. Les challengers : Ils ne nous ont pas convaincu : Sources :
Quartz/Chartbuilder Industry Leaderboard The industries The 55 industries surveyed in the Bloomberg Industries Leaderboard were chosen on the basis of size, investor interest, and coverage by Bloomberg Industries (BI). Industry revenue Revenue (size) is derived by aggregating public company annual revenues generated from an industry and available as of Aug. 30. Revenues were estimated by BI for the following: Coal Mining-Global, Electrical Equipment- Global, Express & Courier Services-Global, Investment Banking- Global, Life Insurance-Global, Property & Casualty-Global, Pharma-Global, Rail Freight Transportation-North America, Renewable Energy-Global, Steel Producers- Global, Utilities- Europe. Industry market leaders Within each of the 55 industries, from four to 16 market leaders were selected based on their share of revenue in a given industry. Key industry metrics Key metrics distinct for each industry were chosen to showcase relevant industry performance data. Industry median Machinery industry Company market share
Datavisualization.ch Selected Tools What I Learned Recreating One Chart Using 24 Tools Back in May of this year, I set myself a challenge: I wanted to try as many applications and libraries and programming languages in the field of data visualization as possible. To compare these tools on a level playing field, I recreated the same scatterplot (also called a bubble chart) with all of them. Based on the results, I published two listicles: One for data vis applications and one for data vis libraries and programming languages. An overview of all the tools I tried can be found in this Google Spreadsheet. Full disclosure: My experiment was highly influenced by the tools I already knew before I started trying new ones. Here’s a GIF of me recreating the same chart with 12 different apps: And here’s a picture of all the different outcomes of the charting libraries: Let’s start! There Are No Perfect Tools, Just Good Tools for People with Certain Goals Data visualization is a communication form used by many subfields, e.g. science, business and of course journalism. Analysis vs.