#dataviztip search results
#dataviztip: two axes are often misleading, avoid. This NYT example is extra shitty since the data is two time series. Would be 💯 x better if they'd just shown change from a fixed starting point -- x axis covers equivalent time period, y axis shows +/- change in points. #dataviz
#dataviztip: For easier comparisons, use multiple bar charts on the same scale, instead of a series of 100% stacked bar charts. This #dataviz (of California traffic stops by reason and race by reddit u/DataTalks) would be far more useful were it a series of bar charts:
#dataviztip: 1. When a bar chart will do, just use a bloody bar chart. Semiotic-familiarity advantage, also bars side-by-side = easy comparisons. 2. Don't use color arbitrarily. If it doesn't mean something, it's noise. Example of both mistakes in one #wtfviz: #barchart #dataviz
#dataviztip: 100% stacked bars are 👌for showing categorical distributions, but aren't useful w/o meaningful ordering. Suggested improvements: functionality that allows users to sort by category, automatically making selected category the first segment. Chart by @overflow_data
#dataviztip: Having a column of location data doesn't mean you should make a map. In fact, only use a map if the location itself is 1. of high importance AND 2. not familiar. Here's an excellent eg of US state-level data (over time!) NOT mapped. Good #dataviz choice @WSJGraphics!
#dataviztip: Don't forget that color has meaning, & red usually = bad/decline. An example of an especially egregious #dataviz color choice: confusingly, in this .@nwwealth infographic, countries that saw the highest increases in "wealth" are in red. #bad #map #wtfviz
#dataviztip: if you are attempting to display more than 5 time series, consider small multiples. Or perhaps all the time series are just context, in which case gray then out. Please do create Technicolor spaghetti, like this chart from .@creditsuisse: #dataviz #Datavisualization
#dataviztip: Don't use a diverging color palette if your data doesn't diverge from zero in both directions. In most cases a sequential color palette is best practice. Use @colorbrewer! This #map by reddit u/blueeaglefly is bad bc 1. not colorblind safe 2. confusing #dataviz
To emphasize a point, use bold or italic text. However, don't overdo it, and don't use both at the same time. #dataviz #dataviztip
Practical tip: For better data viz in AI reports, use interactive dashboards. Transformed how I present crypto insights – clients love it. Give it a shot! #DataVizTip
Essential Component of All Good Data Visualization: #Simplicity #dataviz #dataviztip buff.ly/2t0rQyB
Can I recommend a single stacked bar for showing parts-of-a-whole in the future? Statisticians Cleveland & McGill ran some experiments and found that humans are generally better at comparing lengths than angles. courses.ischool.berkeley.edu/i247/f05/readi… #dataviztip #dataviz
#dataviztip: when visualizing a time series, should you use a bar or line chart? Default to line chart unless 1) the total number of datapoints are very few, or 2) when the value at each moment in time is more important then the general trend. #dataviz
#DataVizTip: Don't display data just for the sake of it. Make sure your metrics have a measurable target or goal to spur you into action!
#dataviztip: Visual signals are valuable, so use minimum no. of visual signals necessary in any #dataviz to reduce visual clutter. It's generally unnecessary to use different colors for categories if you have very few and are also clearly labeling said categories.
If venture capitalists have their way, tech will soon disrupt how farmers herd cows on.wsj.com/2GJp3VD
RT klipfolio "#DataVizTip: Don't display data just for the sake of it. Make sure your metrics have a measurable target or goal to spur you into action!"
#dataviztip: 1. Don't make illustrations look data-driven when they're not. 2. If you don't have data, use your words to construct coherent sentences. 3. Don't make useless, ugly nonsense like this atrocity: #dataviz
This is one of the the worst visualizations I’ve personally run across in awhile
Never given much thought about small multiple charts, but I am going to give it a try in the future. #dataviztip
From our Decoded blog on Medium: "How Pew Research Center uses small multiple charts" #dataviz bit.ly/2QEDr7f
#dataviztip: When using a sequential gradient with white on one end, pick a color that is NOT white to indicate "no data". This #map of non-consensual marriages in India is misleading because I can't tell if a geographic region has a low rate or no data. #dataviz #cartography
Give taking a break a try, and let me know how it goes. This post originally appeared in my newsletter, the Studio Scoop. Want more stories and data viz tips like this? Subscribe to my newsletter: schillingdatastudio.com/link-in-bio #DataVizTip (6/6)
🚀#SankeyMaster #DataVizTip: Uncover hidden insights and streamline your data flow like a pro with a Sankey Chart! 📈💡 Discover how SankeyMaster is revolutionizing the way we visualize complex #sankeymaster #sankey 👉apps.apple.com/app/apple-stor…
Practical tip: For better data viz in AI reports, use interactive dashboards. Transformed how I present crypto insights – clients love it. Give it a shot! #DataVizTip
🌠✨ #SankeyMaster #DataVizTip Tuesday: Discover the art of efficiency! 🚀 Today's #SankeyChart secrets decoded for SankeyMaster. Perfect for visualizing complex flows between elements! #sankeymaster #sankey 👉apps.apple.com/app/sankeymast…
Clean data = Accurate Reports! Spend extra time cleaning your data in Power Query for clear & impactful reports. #PowerBI #DataVizTip
The first step to creating a data story is to specifically identify who is in your audience, their context around the data, and what you want them to know or do. Learn more: schillingdatastudio.com/blog/data-stor… #DataViz #DataVizTip #DataStorytelling
Based on data viz research, we know position (think bar graphs) allows for more accurate estimates and comparison while area (think tree maps) results in less accurate estimates and comparisons. Learn more in my latest blog post: schillingdatastudio.com/blog/wrong-gra… #DataViz #DataVizTip
RT @datavizjenn Knowing design principles for data viz makes creating charts and graphs easier. Learn more: schillingdatastudio.com/blog/design-de… #DataViz #DataVizTip #data
Knowing design principles for data viz makes creating charts and graphs easier. Learn more: schillingdatastudio.com/blog/design-de… #DataViz #DataVizTip
Data Viz Tip: Don't use the title to describe what the graph shows, use it to explain the key message or headline. Read the full blog post: schillingdatastudio.com/blog/title-toa… #DataViz #DataVizTip
Data viz tip: make it personal. When your user can easily see themselves in the data, they're more likely to look at and use your visualization. Read more: schillingdatastudio.com/blog/get-perso… #DataViz #DataVizTip
Here's a quick data viz tip: experiment. When's the last time you experimented and tested out your data viz? Learn how to experiment: schillingdatastudio.com/blog/testing #DataViz #DataVisualization #DataVizTip
Give taking a break a try, and let me know how it goes. This post originally appeared in my newsletter, the Studio Scoop. Want more stories and data viz tips like this? Subscribe to my newsletter: schillingdatastudio.com/link-in-bio #DataVizTip (6/6)
To emphasize a point, use bold or italic text. However, don't overdo it, and don't use both at the same time. #dataviz #dataviztip
1 | Let's talk about how a preattentive attribute (color) can focus attention in a #DataViz 🧵 #DataVizDesign #DataVizTip
It's blog post release day!! Can you spot the difference between the two graphs in this post? Check this article out to see why it matters. schillingdatastudio.com/blog/empty-spa… #DataVizTip #DataViz #DataVizDesign #DataVizTraining
New blog post on @SchillingData - don't finalize your graph until you check these four things. schillingdatastudio.com/blog/four-tips #DataVizTip #DataVisualization #DataVisualizationTip #DataAnalytics #CommunicateData #EffectiveCharts #DataViz #Training #DataVizTraining
Does it need to be a bar graph? A new article on @LinkedIn linkedin.com/feed/update/ur… #DataViz #DataVizTip #DataVisualization
Does it need to be a bar graph? A new article on @LinkedIn linkedin.com/feed/update/ur… #DataViz #DataVizTip #DataVisualization
Did you ever wonder why zero is important in a bar graph? My latest @LinkedIn post explains why #DataViz #DataVizTip #DataVizExplained linkedin.com/feed/update/ur…
Never given much thought about small multiple charts, but I am going to give it a try in the future. #dataviztip
From our Decoded blog on Medium: "How Pew Research Center uses small multiple charts" #dataviz bit.ly/2QEDr7f
#dataviztip: two axes are often misleading, avoid. This NYT example is extra shitty since the data is two time series. Would be 💯 x better if they'd just shown change from a fixed starting point -- x axis covers equivalent time period, y axis shows +/- change in points. #dataviz
#dataviztip: 1. When a bar chart will do, just use a bloody bar chart. Semiotic-familiarity advantage, also bars side-by-side = easy comparisons. 2. Don't use color arbitrarily. If it doesn't mean something, it's noise. Example of both mistakes in one #wtfviz: #barchart #dataviz
#dataviztip: For easier comparisons, use multiple bar charts on the same scale, instead of a series of 100% stacked bar charts. This #dataviz (of California traffic stops by reason and race by reddit u/DataTalks) would be far more useful were it a series of bar charts:
#dataviztip: Having a column of location data doesn't mean you should make a map. In fact, only use a map if the location itself is 1. of high importance AND 2. not familiar. Here's an excellent eg of US state-level data (over time!) NOT mapped. Good #dataviz choice @WSJGraphics!
To emphasize a point, use bold or italic text. However, don't overdo it, and don't use both at the same time. #dataviz #dataviztip
#dataviztip: 100% stacked bars are 👌for showing categorical distributions, but aren't useful w/o meaningful ordering. Suggested improvements: functionality that allows users to sort by category, automatically making selected category the first segment. Chart by @overflow_data
#dataviztip: Don't forget that color has meaning, & red usually = bad/decline. An example of an especially egregious #dataviz color choice: confusingly, in this .@nwwealth infographic, countries that saw the highest increases in "wealth" are in red. #bad #map #wtfviz
#dataviztip: if you are attempting to display more than 5 time series, consider small multiples. Or perhaps all the time series are just context, in which case gray then out. Please do create Technicolor spaghetti, like this chart from .@creditsuisse: #dataviz #Datavisualization
#dataviztip: Don't use a diverging color palette if your data doesn't diverge from zero in both directions. In most cases a sequential color palette is best practice. Use @colorbrewer! This #map by reddit u/blueeaglefly is bad bc 1. not colorblind safe 2. confusing #dataviz
Essential Component of All Good Data Visualization: #Simplicity #dataviz #dataviztip buff.ly/2t0rQyB
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