This e-text has focused on methods for strengthening connections between the viewer and the numbers. Developing data visualizations, incorporating these visualizations into data-driven infographics, and making use of storytelling elements have all shown to take your viewer on a journey that goes well beyond simply reading graphs. Yet two important questions still remain: What tools are available for writers to design data visualizations and infographics? Additionally, where can writers easily obtain relevant data to incorporate into their work?
Microsoft Excel and Google Sheets are two tools that can aid in data visualization. Since these tools are both commonly used in corporations and classrooms, most writers will have likely already worked with them before (Stobierski). Despite the fact that Excel and Sheets are primarily designed for maintaining spreadsheets, they each come with built in data visualization capabilities. Excel features roughly 19 different chart options, while Google Sheets includes 17. One strength of these tools is the wide range of visualization options. Another strength is their ease of access. As mentioned above, many schools and companies make use of Excel, while Google Sheets simply requires a free Google account to access. While Excel and Sheets are great for creating data visualizations, they lack the ability to incorporate these visualizations into infographics.
Some other data visualization tools worth mentioning are Google Charts, Tableau, Zoho Analytics, and Datawrapper. Each of these tools is similar in that they are useful for generating data visualizations. These tools are a bit simpler to use when compared to Excel and Sheets. Simply plug in the data and wait for the software to spit out a graph. However, one of the greatest limitations to these visualization tools is that they vary in chart options and features depending on paid subscriptions. Working on a tight budget may not favor the use of these tools, yet visuals created with the paid version could also lead to a higher quality of data representation within your work.
In terms of infographic designing, there are two free tools that stand out. The first is Infogram, which offers an array of infographic templates and chart types. On top of data visualizations, Infogram also allows the user to incorporate previously made charts and graphs into an infographic (Stobierski). One major downside to Infogram is that a payment is required to download a finished infographic. Like many of the previously mentioned tools, Infogram has multiple versions, including Standard, Pro, Team, Business, and Enterprise. Paid versions are required to download your creations, although you can still share your infographic with others by sending a public link.
A similar infographic designing tool is Canva. Unlike Infogram, Canva allows users to download their finished infographics for free. However, there is still a paid version of Canva that includes bonus features to enhance your infographics even further. Nonetheless, Canva’s free version is a great tool for designing custom infographics. Canva also features data visualization options. These visualizations can be used to create data-driven (and story-driven) infographics.
At some point, it must cross every writer’s mind: where can I obtain data? Not all writers spend their time conducting research and acquiring large sets of data to be incorporated into their works. It is reassuring to note that there are plenty of free open data sources for writers of any discipline. Below is a list of four extremely useful open data sources for anyone to explore (Patel).
The above tools can help make the seemingly unnavigable field of data visualization feel much more attainable in the long run. Developing writers and journalists have all of the resources necessary for representing, visualizing, and communicating data for their audience. Likewise, the data itself is more widely available in the digital age than it has ever been before.