Awesome Data Visualization Tools for Digital Marketers. Did you know that, according to IBM, more than 2. To put this into perspective, one terabyte of data can contain 1. More than 1. 32,0. Almost 8. 6 million full page Microsoft Word documents Now multiply any one of these by 2. In the case of images, 2. BILLION images. To put this into perspective, there are approximately 2. Effective Data Visualization: The Right Chart For The Right Data' title='Effective Data Visualization: The Right Chart For The Right Data' />Advanced analytics depends on robust modeling tools, but also on effective data visualization techniques that can help make sense of analytics results. Facebook meaning that more than three times the total number of images on Facebooks worth of data is created every single day. Its easy to see why so many companies struggle with Big Data. One problem with the sheer volume of data being produced on a daily basis is that, generally speaking, enormous numbers like the ones above tend to just slide right off our collective consciousness. Its difficult to really understand whats going on with these figures, because we arent wired to handle all this information. Thats why data visualization tools are so powerful. In todays post, Ill be taking a look at seven data visualization tools that can help you make sense of the data youre working with. Whether you need to prove results to a client or streamline your internal workflows, these data visualization tools can help you get the job done. In the spirit of freedom of information free as in beer, Ive tried to include as many free, open source data visualization tools as possible. Its also worth noting that for the purposes of this post, were focusing on true data visualization tools, as opposed to programs that help users build infographics and the like. First, lets take a quick look at what data visualization actually is, and the types of visualizations you can create. Choosing the right type of chart or graph visualization can be key to conveying the most important insights in your dataon sight. This paper will help you. What Is Data Visualization First, a quick definition Data visualization is the process of taking a data set and visualizing it in a way that can be easily understood. Sometimes called data viz, data visualization can be something as simple as a bar chart generated from an Excel file, or as complex as an interactive multimedia experience. The best data visualizations are beautiful, informative, and responsive. Newspapers such as The New York Times and the Chicago Tribune have utilized what is known as data journalism for years. Today, in newsrooms around the world, teams of data scientists and developers work together to create stunning visualizations of data that make the news more impactful than ever before. One of the best examples of how powerful data visualization can be when covering a major news story is how The New York Times covered Facebooks IPO in 2. The New York Times wanted to visually demonstrate the significance of Facebooks IPO at that time, so the newspaper developed this fully interactive data visualization to drive this point home. Readers can hover their mouse cursor over each individual companys data visualized in the chart, which shows each companys value at the time of their respective IPOs, plus or negative percentages for first day changes in stock value, and the value of their stock three years after their IPO. As the story develops, you can follow along the interactive technology IPO historical timeline. Perhaps most importantly, although this data visualization supported news coverage, it also serves as an excellent example of how a densely complex topic can be simplified and even enriched by this kind of interactive content a valuable lesson for marketers in niche or boring verticals hoping to persuade others with their data. A Short Note on Data Set Quality. Virtually all data visualization tools support data import via. CSV comma separated value files, which are typically exported from a spreadsheet application such as Microsoft Excel or Google Sheets. However, the quality and integrity of your data play a large role in the success of your visualization, and can have a significant impact on how long a visualization will take to produce. Connecting to a data set in Tableau Public the point at which the qualityof your data set becomes crucially important. The cleaner your data is, the more effectively youll be able to work with it. If your. CSV file is riddled with poor formatting, missing fields, or other problems, it may be harder or even impossible to achieve the results you want. We examine principles of good data visualization, including some great and terrible examples, guidelines for human perception, focus on key variables, changes and. Welcome to Dollar Street where country stereotypes fall apart. Imagine the world as a street. Harmony 650 Serial Number there. All houses are lined up by income, the poor living to the left and. Contents. Books Articles Whitepapers Other Brief Publications. Books. Signal Understanding What Matters in a World of Noise, Stephen Few, 45. U. S., Analytics. A comprehensive and coherent set of mathematics standards for each and every student from prekindergarten through grade 12, Principles and Standards is the first set. The Best Data Visualization Courses Class Central Career Guides Part four of our sixpiece series that recommends the best MOOCs for launching yourself into the. While free data visualization tools can save your business time and money, they have major limitations. The basics of data visualization will help you avoid common pitfalls in your presentations. Which chart type is right for your data Try out the new and improved Bubble Chart at gapminder. Newcomers to data visualization may mistake such errors for a limitation of the program theyre using, when in fact its an issue with the imported data. Although data set quality and cleaning up. CSV files are beyond the scope of this post, check out this excellent tutorial from the University of California, Berkeleys Advanced Media Institute. Without further ado, here are the seven data visualization tools to try Tableau. Timeline. JSGoogle Charts. Plotly. RAWCharted. Leaflet. Lets learn about each tool in a little more detail. Effective Data Visualization: The Right Chart For The Right Data' title='Effective Data Visualization: The Right Chart For The Right Data' />Data Visualization Tool 1 Tableau. Tableau is one of the most widely used data visualization tools on the market. Available in five versions Desktop, Server, Online, Mobile, and free to use Tableau Public, Tableau is among the most intuitive and user friendly of todays data visualization tools. For the sake of this example, well be focusing on Tableau Public. Image via Tableau Public. What makes Tableau remarkable is the sheer diversity of tools within the application. Even the free Public version of the software offers an incredible variety of options and settings. You can create dozens of different types of visualizations, from scatter plots and heat maps to bubble maps and candlestick charts. The image above is a screenshot of an interactive visualization created by Brit Cava, which plots Airbnb pricing and availability information across the city of San Francisco, in real time. It also shows acceptance rate data, price ranges by neighborhood, and other fascinating data. Its relatively easy to get started with Tableau Public but there is a learning curve. Fortunately, the official supporting documentation is awesome. Virtually every question you could think of is answered there, and there are also sample data sets available for download to help you get started. Data Visualization Tool 2 Timeline. JSMapping a series of events as they appear in time can be one of the most effective visual means to make connections between issues, track progress, or demonstrate patterns. Timeline. JS is a powerful free tool developed by Northwestern Universitys Knight Lab that helps you create engaging, timeline based visuals to show off your data. An example Timeline. JS visual, via timeline. Timeline. JS supports a wide range of media formats, including You. Tube URLs, Google Map data, Sound. Cloud embeds, and Wikipedia articles. The results are amazing, and every element on screen is interactive, meaning users can scroll along the timeline at their own pace, or click on specific media elements, such as a You. Tube video or Sound. Cloud audio file. The example timeline above chronicles the milestone accomplishments of women in the field of computer science, a fascinating interactive journey with a wide range of supporting media. Overall, Timeline. JS is an awesome tool. Perhaps best of all for beginners is that you dont need to know how to code in order to create beautiful timelines. Data Visualization Tool 3 Google Charts.