The new 2018 year is coming very soon, and now is a great time to look back and remember the highlights from data visualization in 2017.
A lot of great charts and infographics were created in 2017 by various people and companies from around the world. In the present, this year’s last Data Visualization Weekly post, we’ll tell you about 4 year-in-review articles featuring the most interesting visualizations of 2017:
- 10 Best Projects in Data Visualization in 2017 — FlowingData.
- Quartz: Top 5 Charts in 2017, According to Reddit — Quartz.
- Year of 2017 in 12 Charts — The World Bank.
- 17 Striking Findings in 2017 — Pew Research.
In fact, charts visualizing data are greatly helpful in revealing trends and patterns in this data. That’s why we love dataviz and continue Data Visualization Weekly, our regular blog feature showcasing interesting examples of charts and infographics.
Today in DataViz Weekly:
- US police shoot people more than twice as often as anyone could think;
- charts visualizing data about protein variation;
- marine traffic map showing the location of all major commercial ships worldwide;
- visualizing big gains in curbing the oil output in OPEC and its ally countries.
Check out what new cool and useful features are delivered in the new versions of our HTML5-based interactive data visualization solutions AnyChart, AnyStock, AnyGantt and AnyMap, as well as what we are going to work on next.
- 2 Comments »
Data visualization is a great thing. It helps humans make sense of various data that’s all around. And we are glad to continue to share with you good dataviz examples on a regular basis, in the Data Visualization Weekly feature on our blog.
So, the new weekly article is here! Look what data visuals we are presenting this time:
- first and business class air travel flow between key global cities;
- the largest employers in every state of the US;
- gender diversity in undergraduate classes across MIT;
- Bitcoin capitalization and market share.
In today’s tutorial, let’s dig into custom drawing and create an interactive HTML5 line chart of which the segments with negative values are painted with a different color than the rest of the graph.
- No Comments »
DataViz’s Growth in Popularity and How It Is Being Applied in Different Areas – Data Visualization WeeklyDecember 8th, 2017 by AnyChart Team
Hello DataViz Weekly readers! Today we will take a look at data visualization’s growth in popularity and how it has been applied in several areas.
This article showcases the following visualizations:
- What chart types, books and tools are most popular in Google search (and how the interest has changed).
- An interactive map revealing deadly air pollution levels across Europe in real time.
- A simple and creative visualization showing the top US graduate business schools.
- An interactive 3D earth map showing how melting glaciers and rising sea levels could destroy some of our cities in the future.
Pie chart is one of the most popular chart types. Mathematically speaking it looks like a circle divided into sectors which represent a part of a whole. For the most of us, pie charts look like real pies or pizzas cut into several slices. In this article, you will find a detailed tutorial on how to build one, with JS chart code samples.
- 21 Comments »
Hello reader, it’s nice to have your attention once again. Today we present to you another DataViz Weekly post, comprising a range of brilliant data visuals, showing different data revolving around four different issues to tell stories about them. In this article, we take a closer look at:
- Some reasons why many people quit their job and where they go after resigning.
- The significance of investing in college education.
- How the internet has impacted the market for sex.
- The relationship between income, life expectancy and health, based on a recent survey carried out in Europe.
The simple charts below will help you understand the data, get new insights into these four areas and see some hidden patterns as well as trends in each one of them. So, let’s get started right away.