Fresh Compelling Data Graphics Worth Seeing — DataViz Weekly
Updated: 2021-03-26 17:55:13
Get your weekly dose of cool data visualization stuff! We have come across these four new amazing projects just lately and are glad to tell you about them right now. Here are the graphics featured this time on DataViz Weekly: Career timelines for all NBA players since 1946 — Nathan Yau Bias and anti-blackness in […]
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The Data Journalism Handbook: Towards a Critical Data Practice now has a second…Tags: book, data journalism
, About Projects Tutorials Courses Become a Member Log in Visualization Tools and Learning Resources , March 2021 Roundup March 25, 2021 Topic The Process roundup To access this issue of The Process , you must be a . member If you are already a member , log in here Join Now The Process is a weekly newsletter where I evaluate how visualization tools , rules , and guidelines work in practice . I publish every Thursday . Get it in your inbox or access it via the site . You also gain unlimited access to hundreds of hours worth of step-by-step visualization courses and tutorials which will help you make sense of data for insight and presentation . Source code and datasets are included so that you can more easily apply what you learn in your own . work FlowingData is a never-ending source of
About Projects Tutorials Courses Become a Member Log in Which color scale to use for your charts March 24, 2021 Topic Design color Datawrapper Lisa Charlotte Rost On a superficial level , color scale selection seems like a straightforward task . Pick a sequence of colors that looks like it goes from light to dark . Done . But right when you get into it , you might find the process isn’t so straightforward . Different color scales can represent different aspects of your data , and poor selection can lead to poor communication . So , Lisa Charlotte Rost for Datawrapper wrote a four-part practical guide to help you figure it out See also Rost’s equally useful guide on what colors to pick for your . scales Related Picking the right colors for your charts Choosing color palettes for choropleth
About Projects Tutorials Courses Become a Member Log in Teaching statistical models with wine tasting March 23, 2021 Topic Statistics modeling Pudding wine For The Pudding , Lars Verspohl provides an introduction to statistical models disguised as a lesson on finding good wine . Start with a definition of wine , which becomes a way to describe it with the numbers . Define what makes a wine good . Find the wines that look closer to that definition . Related What is Your Wine Personality Profile Wine industry network in the US Comparing Covid-19 models Become a . member Support an independent site . Make great charts . What you get Recent Members’ Posts Maybe All Charts are Bad The Process 131 Imagining the Path to a Bad Chart The Process 130 Visualization Tools and Resources , February 2021
For ProPublica, Ken Schwencke reports on a poor data system that relies on…Tags: crime, hate, police, ProPublica
About Projects Tutorials Courses Become a Member Log in Maybe All Charts are Bad The Process 131 March 18, 2021 Topic The Process bad chart misleading But probably . not To access this issue of The Process , you must be a . member If you are already a member , log in here Join Now The Process is a weekly newsletter where I evaluate how visualization tools , rules , and guidelines work in practice . I publish every Thursday . Get it in your inbox or access it via the site . You also gain unlimited access to hundreds of hours worth of step-by-step visualization courses and tutorials which will help you make sense of data for insight and presentation . Source code and datasets are included so that you can more easily apply what you learn in your own . work FlowingData is a never-ending source
About Projects Tutorials Courses Become a Member Log in Mapping all of the voters March 18, 2021 Topic Maps election segregation Upshot In what seems to have become a trend of making more and more detailed election maps , NYT’s The Upshot mapped results down to the addresses of 180 million voters The maps above â and throughout this article â show their estimates of partisanship down to the individual voter , colored by the researchersâ best guess based on public data like demographic information , voter registration and whether voters participated in party . primaries We canâ t know how any individual actually voted . But these maps show how Democrats and Republicans can live in very different places , even within the same city , in ways that go beyond the urban-suburban-rural