Data Visualization Catalog

So some brief advice from spending about 5 years as a visualization engineer&#x2F;designer&#x2F;data scientist:<p>1. Get an intuitive understanding of the data<p>2. (via Alberto Cairo) Aim to allow the user to correlate, organize and compare this data<p>3. Come up with a few visual means to do no. 2, and get feedback and iterate.<p>4. Go to the catalogs and see what work has already been done on your version of 3, and then implement.<p>It is amazing how many &quot;original&quot; charts I have created which have already been named and studied from a perceptual science point of view. But it is still important to come to a clear understanding from your own point of view of how the data fits that representation.

See also: Chartmaker Directory- <a href="http:&#x2F;&#x2F;chartmaker.visualisingdata.com&#x2F;" rel="nofollow">http:&#x2F;&#x2F;chartmaker.visualisingdata.com&#x2F;</a>

I had so much trouble building a catalog for my data visualisation.<p>As data scientists and software engineers, Tristan Mayer, Daniel Velasquez, and I have spent hours trying to find the most relevant datasets to do our analysis. Once we found the right one, we couldn&#x27;t understand how to use it, or if we could trust it. This is painful but unfortunately too common.<p>We interviewed 150 companies at the end of our studies to search for solutions. Every one of them faced the problem. We worked hard for 6 months to build a solution and released the first version of our product.<p>Go check it out www.castordoc.com and give us feedback!

The design bureau ferdio has made a much prettier version: <a href="https:&#x2F;&#x2F;datavizproject.com&#x2F;" rel="nofollow">https:&#x2F;&#x2F;datavizproject.com&#x2F;</a>

I’ve referred to this resource in a couple of talks I’ve given on data vis. My advice is always to learn about different kinds of standard charts that are out there, then when visualizing a dataset use the best combination of words, numbers, and pictures to convey your idea. This may Or may not fit into a standard chart type.<p>Edward Tufte’s books have a lot of great examples for static visualizations and Bret Victor has some great examples applying these concepts to software (<a href="http:&#x2F;&#x2F;worrydream.com&#x2F;MagicInk&#x2F;" rel="nofollow">http:&#x2F;&#x2F;worrydream.com&#x2F;MagicInk&#x2F;</a>)

I&#x27;ve just moved to a data scientist job where most of the work is done through Scala. I&#x27;ve loved working with Scala for all the type safety and compiler helpers, but the lack of a data visualisation library makes me feel like I&#x27;ve lost a limb whenever I&#x27;m doing exploratory data analysis. I wonder why one hasn&#x27;t been developed when it seems like there&#x27;s twenty different libraries for python!

I&#x27;m researching graphs used to communicate I&#x2F;O error. I&#x27;m using histograms and scatterplots.<p>I suspect there was no small amount of work to develop the top-down, ontological framework for this catalog.<p>I wish there was a search feature for use cases to access the catalog from the bottom up. I would like the chance to discover additional visualizations using terms specific to my use case.

These are all great to use for data exploration. But if you&#x27;re going to show data to a non-analyst audience, stick to bar charts (not histograms), trend lines, pie charts, and choropleth maps.<p>I&#x27;m not trying to condescend. I&#x27;ve tried for years to introduce more chart types, bit always received pushback on how hard they were to read.

Is D3 stil the best JS library for visualization? I used to make D3 components full time and it was pretty great. <a href="https:&#x2F;&#x2F;d3js.org&#x2F;" rel="nofollow">https:&#x2F;&#x2F;d3js.org&#x2F;</a>

No love for the corporate stalwart waterfall chart. I&#x27;m not sure why, but it is often ignored or despised by people who geek out on data viz.

That&#x27;s the first time I see a chord diagram. I understand the concept, but I think it&#x27;s very hard to apprehend

See also <a href="http:&#x2F;&#x2F;visualizationuniverse.com&#x2F;charts&#x2F;" rel="nofollow">http:&#x2F;&#x2F;visualizationuniverse.com&#x2F;charts&#x2F;</a> made by Adioma - with search interest and data from Google Trends.

paid components only ?<p>for instance, treemap: <a href="https:&#x2F;&#x2F;datavizcatalogue.com&#x2F;methods&#x2F;treemap.html" rel="nofollow">https:&#x2F;&#x2F;datavizcatalogue.com&#x2F;methods&#x2F;treemap.html</a><p>I don&#x27;t see echarts treemaps.