The Data Visualisation Catalogue VS Grokking Algorithms

Compare The Data Visualisation Catalogue VS Grokking Algorithms and see what are their differences

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The Data Visualisation Catalogue

Reference tool for data visualisation

Grokking Algorithms

An illustrated guide for programmers & other curious people

Landing page //
2019-01-18

Landing page //
2023-07-30

The Data Visualisation Catalogue

Website: datavizcatalogue.com

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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.

Grokking Algorithms features and specs

No features have been listed yet.

Analysis of The Data Visualisation Catalogue

Overall verdict

Yes, The Data Visualisation Catalogue is good for understanding different types of data visualizations and how to apply them effectively. It is well-reviewed for its user-friendly interface and educational value.

Why this product is good

The Data Visualisation Catalogue is considered a valuable resource because it provides a comprehensive collection of visualization types along with detailed descriptions, examples, and guidance on when to use each type. This makes it an excellent tool for designers, analysts, and anyone interested in effectively communicating data through visuals.

Recommended for

Data analysts seeking inspiration for visualizing their data
Designers looking to expand their knowledge on data presentation
Students learning about data visualization techniques
Researchers who need to communicate complex data effectively
Anyone interested in improving their data storytelling skills

The Data Visualisation Catalogue videos

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Grokking Algorithms videos

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👍 Finally, my review of Grokking Algorithms 📖

Category Popularity

0-100% (relative to The Data Visualisation Catalogue and Grokking Algorithms)

The Data Visualisation Catalogue

Grokking Algorithms

Data Dashboard

100 100%

Data Dashboard

0% 0

0 0%

100% 100

Design Tools

77 77%

Design Tools

23% 23

Productivity

0 0%

Productivity

100% 100

User comments

Share your experience with using The Data Visualisation Catalogue and Grokking Algorithms. For example, how are they different and which one is better?

Social recommendations and mentions

Based on our record, The Data Visualisation Catalogue seems to be more popular. It has been mentiond 9 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 (9)

GOP Cries Censorship over Spam Filters That Work
A bit off topic, that 3D line chart [1] makes the data harder to read instead of clearer. A simple 2D line chart would show the trends without the distortion from perspective. The Data Visualisation Catalogue [2] is a good resource with professional examples and design principles that explain why simplicity usually works best. [1] https://krebsonsecurity.com/wp-content/uploads/2025/09/koli-loks-red-v-blue.png [2]... - Source: Hacker News / 28 days ago
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: over 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: about 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: over 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: over 3 years ago