@andykirk this one seemed odd, in that it was allowed to slip through the normally high quality gate at The Guardian
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Business analyst, who does dataviz on the job or on the side, in Christchurch, New Zealand
@moritz climate offers geo data, ethics, misleading data, many options to explore
Cultural analytics would be blast tho
@aditya ooh pretty.
@aditya is this a sankey layout underneath? looks great!
@francis @alexwein @matth below is a chart (from this article https://www.nytimes.com/interactive/2014/12/30/business/a-record-year-for-auto-recalls.html
) i often use at workshops that provides some great design tips for this problem:
- shift the y axis over to the right
- datapoint color dark v light
- x axis label dark v light
) i often use at workshops that provides some great design tips for this problem:
- shift the y axis over to the right
- datapoint color dark v light
- x axis label dark v light
@alexwein nice! this would be useful for series with very long periods of nothing happening. and then having the top chart much smaller for reference would be a good space saver; and the bottom could accommodate annotations aplenty
@vlandham hi - these are some really interesting ideas
Please take a moment and fill out the 2018 Data Visualization Survey: https://docs.google.com/forms/d/e/1FAIpQLSft5kH866hkyVbxqe8Cl7mJDBLbpy5aWIHmYP5ztdO8RDattg/viewform
Elijah Meeks did this last year, and provide lots of good insights and discussions around the data viz industry
Data Visualization Community Survey 2018
Last year's survey of the data visualization community gave us great material to analyze and visualize. With over a thousand responses from various practitioners, it also revealed aspects of the survey that underserved some audiences. This year's survey has many of the same questions, so we can see if anything has changed in how data visualization is being done, but also some adjustments to better reflect these different modes of practice. This survey is anonymous and the results will be released to the public on Github. It's a long survey, but if enough of us take the time to answer all these questions, we'll all have access to the resulting dataset for visualization and analysis, and that means we'll all be able to better achieve success in this field. Survey questions and final draft edited by Elijah Meeks but were based on much input from data visualization professionals all over. The anonymized results will be released publicly after the survey is closed.