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The Data Visualisation Catalogue VS HTML5 Please

Compare The Data Visualisation Catalogue VS HTML5 Please and see what are their differences

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The Data Visualisation Catalogue logo The Data Visualisation Catalogue

Reference tool for data visualisation

HTML5 Please logo HTML5 Please

Look up HTML5, CSS3, etc features, know if they are ready for use, and if so find out how you...
  • The Data Visualisation Catalogue Landing page
    Landing page //
    2019-01-18
  • HTML5 Please Landing page
    Landing page //
    2023-03-23

The Data Visualisation Catalogue features and specs

  • Comprehensive Selection
    The Data Visualization Catalogue offers a wide range of chart types and visualization methods, making it a valuable resource for users looking for the best way to present their data.
  • User-Friendly Interface
    The website has an intuitive and well-organized layout, making it easy for users to navigate and find information quickly.
  • Detailed Descriptions
    Each chart type comes with a detailed description, including when to use it, best practices, and example visualizations, which helps users understand the nuances of different data visualization methods.
  • Filter and Search Options
    The platform includes useful filter and search options that allow users to quickly find the most relevant chart types based on their data visualization needs.
  • Visual Examples
    The catalogue features visual examples for each chart type, aiding users in understanding how the chart looks and functions in practice.
  • Educational Resource
    The site serves as a valuable educational resource for learning about data visualization techniques and principles, especially for beginners and students.

Possible disadvantages of The Data Visualisation Catalogue

  • Limited Interaction Features
    While informative, the website lacks interactive features such as hands-on tutorials or interactive chart builders that could enhance learning and application.
  • No Customization Guidance
    The catalogue provides general advice on using various charts, but it doesn't offer much detail on how to customize visualizations for specific datasets or software tools.
  • Dependency on External Tools
    Users need to rely on external software tools to create the visualizations, as the website itself does not include built-in tools for generating charts.
  • Occasional Overwhelm
    The extensive range and detailed information might overwhelm some users, particularly those new to data visualization, making it difficult to choose the right chart type.
  • Design Overlook
    The website focuses more on explaining chart types and their uses rather than offering insights on aesthetic design and user engagement, which are also crucial in data visualization.
  • Outdated Content Risk
    There is a risk that some information might become outdated as new visualization techniques and tools emerge, although it is periodically updated.

HTML5 Please features and specs

No features have been listed yet.

Category Popularity

0-100% (relative to The Data Visualisation Catalogue and HTML5 Please)

The Data Visualisation Catalogue

HTML5 Please

Data Dashboard
100 100%
Data Dashboard
0% 0
Email Tools
0 0%
Email Tools
100% 100
Design Tools
86 86%
Design Tools
14% 14
Data Visualization
70 70%
Data Visualization
30% 30

User comments

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Social recommendations and mentions

Based on our record, The Data Visualisation Catalogue should be more popular than HTML5 Please. It has been mentiond 8 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

The Data Visualisation Catalogue mentions (8)

  • Learning Resources
    I contstantly refer to this data viz dictionary that explains the best viz to use for a ton of problems. https://datavizcatalogue.com/. Source: almost 2 years ago
  • Product Software Engineer wanting to get into data visualization. What should I do?
    Learn the various chart types and their best application: https://datavizcatalogue.com/. Source: almost 3 years ago
  • is it possible to make this kind of chart?
    Because you are building unnecessary visual complexity. I recommend you take a gander at ink ratio and visualization types like this that are very easy to follow. Source: almost 3 years ago
  • What's you mental model to come up with visualisations for you data? Both to understand and to present
    Resources I use a lot: - https://datavizcatalogue.com - http://vita.had.co.nz/papers/layered-grammar.html - http://www.visual-literacy.org/periodic_table/periodic_table.html - https://www.anychart.com/chartopedia/. Source: almost 3 years ago
  • Data viz
    A quick Google on "data visualisation" brings up several sites that provide the info you're looking for. To help get you started, here's one from the first few results from that Google search: https://datavizcatalogue.com/. Source: over 3 years ago
View more

HTML5 Please mentions (1)

What are some alternatives?

When comparing The Data Visualisation Catalogue and HTML5 Please, you can also consider the following products

CodeAnalogies - Visual explanations of web development topics

QuirksMode.org Compatibility Tables - My Compatibility Tables are by far the most popular resource on this site.

Visualoop - Dribbble for infographic & data visualization artists

Can I use - Compatibility tables for support of HTML5, CSS3, SVG and more in desktop and mobile browsers.

Flourish - Powerful, beautiful, easy data visualisation

Can I Email - "Can I use" for email. Quickly view if a tech is supported by all email clients.

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