All the passes

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Uma visualização e de mais de 882 mil passes de futebol

A visualisation of 882,536 passes from 890 matches played in various major leagues/cups such as

  • the Champion League 1999
  • FA Women’s Super League 2018
  • FIFA World Cup 2018, La Liga 2004 – 2020
  • NWSL 2018
  • Premier League 2003 – 2004
  • Women’s World Cup 2019

Data provided by StatsBomb

Original inspiration: Alexander Varlamov’s blog post

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6 Charts That Dismantle The Trope Of Asian Americans As A Model Minority

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Um exemplo excelente de um relatório com muito bons gráficos.

“Smart.” “Hard-working.” “Nice.” Those were among the adjectives that respondents offered up in a recent poll when asked to describe Asian Americans.

The poll, conducted by the nonprofit Leading Asian Americans to Unite for Change (LAAUNCH), was another all-too-familiar reminder that Asian Americans are still perceived as the “model minority.”

Since the end of World War II, this myth about Asian Americans and their perceived collective success has been used as a racial wedge — to minimize the role racism plays in the struggles of other minority groups, such as Black Americans.

Characterizing Asian Americans as a model minority flattens the diverse experiences of Asian Americans into a singular, narrow narrative. And it paints a misleading picture about the community that doesn’t align with current statistics.

Here’s a look at some common misconceptions driven by the model minority myth.

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Fat Chance: Writing about Probability

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Bons conselhos sobre como comunicar incerteza, probabilidades e percentagens

Since the COVID-19 pandemic began, almost every choice we have made in our day-to-day lives has required careful consideration of the odds. How dangerous is going to the supermarket at peak time? Is it safe to see friends after getting one vaccine shot? Will children get sick, or spread the virus to others, if they go back to school?

Just the quantity of decisions can be exhausting. But there’s something else making all of these choices so difficult: People, by and large, are bad at probability. We turn high odds into certainties, as when people assume that the accuracy of PCR tests for COVID means they’ll always yield correct results, or when we think of relatively unlikely events, like catching the virus after being fully vaccinated, as impossible. And in between 100 percent certainty and zero chance, the way we interpret any given number can change radically based on how that probability is expressed.

Such glitches in thinking aren’t surprising, says journalist and statistician Regina Nuzzo, a professor of statistics at Gallaudet University in Washington, DC, and a senior advisor for statistics communication and media innovation at the American Statistical Association. “Human brains hate probability, they hate ambiguity, they hate the uncertainty,” she says. “We’re just not wired to deal with this sort of thing very well.”

But for science writers, avoiding uncertainty isn’t an option. “Everything [in science] is quantified by the likelihood or lack of likelihood of it happening,” says science journalist Tara Haelle, who has written extensively about covering statistics for the Association of Health Care Journalists (AHCJ). But as Haelle says, “Humans don’t make decisions that way.” People tend to be far more comfortable with a definitive yes or no, she says, than with the uncharted space in between.

That means science writers have to work hard to coax readers away from those two extremes and toward a more nuanced understanding. “Probability information is crucial to making a really informed decision,” says psychologist Vivianne Visschers, who studies risk communication and decision making at the University of Applied Sciences and Arts Northwestern Switzerland. Without a good understanding of such information, readers may ease up on pandemic social-distancing precautions too early, or avoid a medical examination that they want to have.

There’s no single, straightforward way to write about probability. The very concept can be ambiguous and tricky. But strategies like using analogies, creating visuals, and making careful use of language can help to convey just what a 15 percent chance of an extreme weather event, or an 80 percent chance of recovering from a disease, really means.

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Seeing How Much We Ate Over the Years

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Um excelente relatório sobre o q os americanos têm vindo a comer desde q há registos. Gráficos excelentes.

The United States Department of Agriculture keeps track of food availability for over 200 items, which can be used to estimate food consumption at the national level. They have data for 1970 through 2019, so we can for example, see how much beef Americans consume per year on average and how that has changed over four decades.

So that’s what I did.

How long will chicken reign supreme? Who wins between lemon and lime? Is nonfat ice cream really ice cream? Does grapefruit ever make a comeback? Find out in the charts below.

The rankings are broken into six main food groups: proteins, vegetables, fruits, dairy, grains, and added fats.

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maps.stamen.com

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Templates para mapas, muito bem conseguidos, especialimente as aguarelas

For over a decade, Stamen has been exploring cartography with our clients and in research. These maps are presented here for your enjoyment and use wherever you display OpenStreetMap data.

Toner

These high-contrast B+W (black and white) maps are featured in our Dotspotting project. They are perfect for data mashups and exploring river meanders and coastal zones. Available in six flavors: standard tonerhybridlabelslinesbackground, and lite.

Available worldwide.

Terrain

Orient yourself with our terrain maps, featuring hill shading and natural vegetation colors. These maps showcase advanced labeling and linework generalization of dual-carriageway roads. Terrain was developed in collaboration with Gem Spear and Nelson Minar. Available in four flavors: standard terrainlabelslines, and background.

Available worldwide.

Watercolor

Reminiscent of hand drawn maps, our watercolor maps apply raster effect area washes and organic edges over a paper texture to add warm pop to any map. Watercolor was inspired by the Bicycle Portraits project. Thanks to Cassidy Curtis for his early advice.

Available worldwide.

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Why Am I Numb To The Numbers?

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Sobre a dormência causada pelos grandes números.

COMIC: For My Job, I Check Death Tolls From COVID. Why Am I Numb To The Numbers?

April 25, 20218:16 AM ET

CONNIE HANZHANG JINTwitter

Each week I check the latest deaths from COVID-19 for NPR. After a while, I didn’t feel any sorrow at the numbers. I just felt numb. I wanted to understand why — and how to overcome that numbness.

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aRty face

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arte ASCII a partir de uma imagem

Translates pixels into data visualisation

Built with Shiny & R by Duc-Quang Nguyen. Shamelessly based on Georgios Karamanis R code. Original idea by Elana Levin Schtulberg: check her datawrapper post and her web tool.  R code

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10 Guidelines for DataViz Accessibility

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10 regras para construir representações de dados mais inclusivas

Introduction

In a world that surrounds us with information at all times, data visualization is increasingly more popular, as a tool to help us make sense of the information, and to grab the attention of users and readers. This has significant implications for the overall accessibility of data. In this article we are exploring the accessibility problems of data visualizations, and how to start solving them.

What is data visualization meant to do?

Before we dive into the accessibility implications of data visualizations, it is useful to consider the value they are meant to provide to the user. This will help us think about how to provide value to all users – including users with various disabilities.

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Plot for D3 Users

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Uma novo biblioteca javaScript para gráficos e comparação com D3

D3 is how I learned JavaScript, and it’s the only chart library I know well. I’m familiar with the idea of things like Vega-Lite, ggplot, and matplotlib, but I’ve never really used them; I’m a monoglot.

But D3 can be hard to learn, and a slow way to make a quick chart. I like to paraphrase Amanda Cox saying, “You should use D3 if you think it’s perfectly normal to have to write a hundred lines of code to get a bar chart.” Over the last ten years there have been many attempts to address this by building libraries on top of D3, but I’ve never gotten into any of them.

Plot, announced today, is the first thing that’s gotten through to me. Granted, if you wanna get all conspiratorial, I suppose they’re paying me to use it for work — but over the last couple months, when I start a personal project and want a chart, I’ve started reaching first for Plot.

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Noise in Creative Coding

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Interessante texto sobre a utilização de ruído para código criativo

Noise is an indispensable tool for creative coding. We use it to generate all kinds of organic effects like clouds, landscapes and contours. Or to move and distort objects with a more lifelike behaviour.

On the surface, noise appears to be simple to use but, there are so many layers to it. This post takes a deep dive into what noise is, its variants, how to use it on the web and its applications. And lot’s of examples. So many examples!

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