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Data Visualization Catalog

by reedwolf on 7/22/20, 10:50 AM with 27 comments

• by nikhizzle on 7/22/20, 3:07 PM

  So some brief advice from spending about 5 years as a visualization engineer/designer/data scientist:

  1. Get an intuitive understanding of the data

  2. (via Alberto Cairo) Aim to allow the user to correlate, organize and compare this data

  3. Come up with a few visual means to do no. 2, and get feedback and iterate.

  4. Go to the catalogs and see what work has already been done on your version of 3, and then implement.

  It is amazing how many "original" 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.

• by stevesycombacct on 7/22/20, 1:14 PM

  See also: Chartmaker Directory- http://chartmaker.visualisingdata.com/

• by xavdeboisredon on 8/3/20, 9:21 AM

  I had so much trouble building a catalog for my data visualisation.

  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't understand how to use it, or if we could trust it. This is painful but unfortunately too common.

  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.

  Go check it out www.castordoc.com and give us feedback!

• by atlasair on 7/22/20, 2:12 PM

  The design bureau ferdio has made a much prettier version: https://datavizproject.com/

• by zylepe on 7/22/20, 8:56 PM

  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.

  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 (http://worrydream.com/MagicInk/)

• by dtjohnnyb on 7/22/20, 3:43 PM

  I've just moved to a data scientist job where most of the work is done through Scala. I'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've lost a limb whenever I'm doing exploratory data analysis. I wonder why one hasn't been developed when it seems like there's twenty different libraries for python!

• by xtiansimon on 7/23/20, 12:55 PM

  I'm researching graphs used to communicate I/O error. I'm using histograms and scatterplots.

  I suspect there was no small amount of work to develop the top-down, ontological framework for this catalog.

  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.

• by vharuck on 7/22/20, 3:09 PM

  These are all great to use for data exploration. But if you're going to show data to a non-analyst audience, stick to bar charts (not histograms), trend lines, pie charts, and choropleth maps.

  I'm not trying to condescend. I've tried for years to introduce more chart types, bit always received pushback on how hard they were to read.

• by archarios on 7/22/20, 5:15 PM

  Is D3 stil the best JS library for visualization? I used to make D3 components full time and it was pretty great. https://d3js.org/

• by nazca on 7/22/20, 3:06 PM

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

• by JeanMarcS on 7/22/20, 2:25 PM

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

• by alexzender on 7/23/20, 8:34 AM

  See also http://visualizationuniverse.com/charts/ made by Adioma - with search interest and data from Google Trends.

• by kgersen on 7/22/20, 8:17 PM

  paid components only ?

  for instance, treemap: https://datavizcatalogue.com/methods/treemap.html

  I don't see echarts treemaps.