Data visualizations transform raw numbers into graphic formats that make it easier for humans to see patterns, trends and other useful information.
Data visualization, from 1987 to today is a wonderful reference about the pre-computer age era of visualization which was a combination of cartography, art and statistics rather than any cohesive field as it is often seen today. The images showing how people worked with paper to build their visuals add fantastic context to the story.
dataviz.tools has a nice list of categorized tools for working with data and visualizing it.
10 Useful Python Data Visualization Libraries for Any Discipline is a straightforward overview of Python packages that create Python visualizations.
Big League Graphs presents a bunch of creative ways to view data for sports such as basketball, baseball and hockey.
Engineering Intelligence Through Data Visualization at Uber explains how Uber's data visualization team grew from 1 person to 15 and the output they created along the way, including the open source tools react-vis and react-map-gl.
Roads to Rome is a beautiful visualization showing the data behind the expression "all roads lead to Rome" and whether or not there is a "Rome" central city in every country.
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