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![]() In terms of the visualizing the collected information, I input the relevant information in chronological order into the Google Spreadsheet template. ![]() I collected and drafted information for details using the same articles mentioned above and via respective company websites. I also could not locate v.1.0 release notes or articles for some tools, which made it impossible to create a timeline for such data without launch-date information. ![]() Tallying up the number of times a tool was mentioned across the five platforms, I selected five tools that were mentioned the most and subjectively added four (Klipfolio, Excel, Paraview, and DataWrapper) as I found them interesting. #10 best data visualization tools in 2020 geeksforgeeks PcI compiled the list of known Data Visualization tools from five different sources: a 2017 Forbes article, a 2020 Forbes article, a 2020 GeeksforGeeks article, a 2020 PC Mag report, and a 2020 Capterra report. Details on exact sources can be found in subsequent sections and in my citations. Most data were taken from articles and respective platform’s websites. I utilized Google for research, a perhaps obvious choice as a predominant search engine, to scavenge articles on modern data visualization software. Columns were fixed with necessary data columns and few select aesthetic adjustment options. ![]() The platform provides a pre-made Google Spreadsheets template that has a relatively low flexibility in terms of customization. To visualize my findings, I used TimelineJS, a web-based tool created by knight lab that facilitates efficient and templated timeline creation. However, users would be directed to another page in order to view further details for an event instead of having all the details in the pop-up module, a design that I found to be an interference in allowing for a smooth interaction with the timeline. I found that the visualization was easy to follow thanks to the color-coded categorization of each events. The first reference was Milestones in the history of thematic cartography, statistical graphics, and data visualization by Friendly, M. Three different existing visualizations were referenced in creating the timeline. But what exact tools are out there that professionals and non-professionals utilize today in 2020? When did these tools emerge? How are these tools relevant in the realm of modern data visualization? The resulting timeline from this research intends to expand on the three questions, presenting a somewhat brief history of modern data visualization programs. Particularly in the day and age where global health crisis is also a global information crises (Xie, et al., 2020), tools that efficiently, effectively, and accurately portray insights are critical in helping people without subject matter expertise access and understand information they need. As understanding data is increasingly becoming important not just for businesses but for everyone, there is a heated race to provide the best Data Visualization tools. ![]() In understanding the larger history of Data Visualization starting from tables dating back to 2C to the advent of Chord Diagrams in 2009, it is clear that human beings’ concern around best information recording practices has been and is an ongoing process. An image captured from the timeline: “A Brief History of Modern Data Visualization Software” created via TimelineJS, hyperlinked to the interactive timeline url Introduction ![]()
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