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Related Questions
What topics does FlowingData cover?
FlowingData focuses on a wide range of topics centered around data visualization, including data science, statistical analysis, and design fundamentals. It provides helpful resources on how to visualize data, gather insights, and depict data in a way that is easily understandable.
What is FlowingData?
FlowingData is an online data visualization and statistics resource that provides helpful insights and analysis into several data visualization topics. It offers a platform for users to learn the art of data visualization, interpretation, exploration, and communication.
What are some of the popular blog posts on FlowingData?
Some of the most popular blog posts on FlowingData include "The Most Common Jobs in America over Time," "Largest Forest Fires in the United States since 2001," and "The Rise of Partisan Polarization in Congress." These posts have garnered thousands of views from readers across the globe.
How often is FlowingData updated?
FlowingData is regularly updated with information about new data visualization trends, techniques, and resources. It has an active user community that regularly provides feedback, insights, and comments on the content, ensuring that information is up-to-date and relevant.
Does FlowingData offer any courses or training on data visualization?
Yes, FlowingData offers several courses on data visualization, including courses on data analysis, statistical programming, and visualization design. These courses cover a wide range of topics, from beginner to advanced, ensuring that users can learn at their own pace.
Who owns FlowingData?
FlowingData was created and is owned by Nathan Yau, a prominent statistician, and creative data designer. Yau is an author and professor of statistics, who is best known for his contribution to the world of data visualization.
How do I get more involved in the FlowingData community?
You can get involved in the FlowingData community by contributing to the comment sections, participating in discussions, submitting content, and following FlowingData on social media. The platform frequently shares content on Twitter, Facebook, and Instagram, ensuring there are plenty of opportunities to get involved.
Is FlowingData free to use?
FlowingData is free to use for users who wish to access the blog and view content. However, there are varying costs associated with accessing courses and other premium content. However, FlowingData's benefits outweigh this minor cost, making it an excellent resource for anyone who is interested in data visualization, statistics, and data analysis.
Can I submit my own data visualization content to FlowingData?
Yes, you can submit your own data visualization content to FlowingData. The platform has a friendly community that encourages users to share their work with others. FlowingData also provides an excellent opportunity to showcase your talent and your work to the world.
What types of visualizations does FlowingData offer?
FlowingData offers a wide range of data visualizations, including line graphs, bar graphs, scatter plots, heat maps, and interactive visualizations. It provides insight into the pros and cons of each visualization type making it more user-friendly.
Popular Questions
What is the best data visualization?
The best data visualization tools include Google Charts, Tableau, Grafana, Chartist. js, FusionCharts, Datawrapper, Infogram, ChartBlocks, and D3. js. The best tools offer a variety of visualization styles, are easy to use, and can handle large data sets.
What is web based visualization?
Web-based visualization lets users customize appli- cations and data representations not originally targeted for each other by dynamically linking Web-based data and visualization applications.
Does Google have a data visualization tool?
Google Data Studio (now Looker Studio) reports and dashboards both include data visualization elements.
Where can I publish data visualization?
A visualization and associated data can be saved to Tableau Public Server. The visualization can be seen by anyone outside of your team. Be careful with this option, especially if your data has sharing restrictions.
What is a junk chart?
Chart junk is anything that doesn't help you understand the data. If you Google chart junk, you'll come across a million different examples of really bad charts and really bad chart junk.
What are the 5 types of chart?
Bar Graph. A bar graph should be used to avoid clutter when one data label is long or if you have more than 10 items to compare. ... Column Chart. ... Line Graph. ... Dual Axis Chart. ... Area Chart. ... Stacked Bar Chart. ... Mekko Chart. ... Pie Chart.
When should chart junk be avoided when is it useful?
3 Avoid chartjunk. It's especially common to see presentations of data in the popular media that are adorned with lots of visual elements that are thematically related to the content but unrelated to the actual data. This is known as chartjunk, and should be avoided at all costs.
How do you avoid chartjunk?
To avoid chartjunk in presentations the content on your slides should be as concise and effective as possible. This means building context, getting rid of text labels, and adding more visuals.