31:T1ce0,# Plot Twist, July 2022 *Plot Twist* is the newsletter about [Observable Plot](https://observablehq.com/plot?utm_campaign=plotpromo&utm_source=newsletter). Every month or so, we highlight the inspiring work being done in Observable Plot by creators from our growing user community. We also provide development updates, showcase new features, and share examples and best practices. --- # Drought in Germany [

](https://observablehq.com/@rnd/bodenfeuchte-in-schleswig-holstein?utm_campaign=plotpromo&utm_source=newsletter) The RedaktionsNetzwerk Deutschland, a newsroom with an audience of four million in Germany, used Plot and Observable to create an animated chart of the “Average water supply of the soil available for plants at a depth of 30 to 40 centimeters” in each region. Their work raises awareness about the degrading climate conditions that could limit wheat production in the future. Check out the notebook --- # Warming Stripes [

](https://observablehq.com/@fil/warming-stripes?utm_campaign=plotpromo&utm_source=newsletter) Yet another climate change-related chart: a new version of the classic [Warming stripes](https://observablehq.com/@fil/warming-stripes?utm_campaign=plotpromo&utm_source=newsletter) visualization depicting the rising mean temperature. --- # Observable Plot’s new release! [Plot 0.5.2 is out](https://github.com/observablehq/plot/blob/main/CHANGELOG.md#052). Its minor version change doesn’t do justice to all the new features announced. Three new marks, in particular, have been added. ## Density mark [

](https://observablehq.com/@observablehq/plot-density?utm_campaign=plotpromo&utm_source=newsletter) The new density mark creates contours representing the estimated density of two-dimensional point clouds. The bandwidth and number of thresholds are configurable. This feature makes use of the new (and fast) d3.blur method we recently introduced in D3 (d3-array@3.2 and D3@7.6). The update allows for fractional bandwidths—a fancy way to say that when bandwidth is changed continuously, the contours now also adapt continuously. ## Linear regression [

](https://observablehq.com/@observablehq/plot-linear-regression?utm_campaign=plotpromo&utm_source=newsletter) A common operation in data visualization is to show trends, and linear regression is a basic statistical method that can derive a trend from a scatterplot. This method is now available as a straightforward mark, which will show the trend line and a (configurable) confidence interval. ## Delaunay & Voronoi [

](https://observablehq.com/@observablehq/plot-delaunay?utm_campaign=plotpromo&utm_source=newsletter) Enhance your charts with a Voronoi mark: instead of representing each datum as a point, the new Plot.voronoi mark will show it as the region of the frame that is closer to this datum than to any other. This makes it possible to tesselate the frame based on the data, for a clearer picture or to give a larger catchment radius to titles. This new development is based, as usual, on our friend [Volodymyr Agafonkin](https://observablehq.com/@mourner?utm_campaign=plotpromo&utm_source=newsletter)’s work on the Delaunator library. Thanks again, Vlad! See the new documentation notebooks --- # Data to practice with [

](https://observablehq.com/collection/@observablehq/datasets?utm_campaign=plotpromo&utm_source=newsletter) Need some data to hone your Plot skills? Our new collection of [curated datasets](https://observablehq.com/collection/@observablehq/datasets?utm_campaign=plotpromo&utm_source=newsletter) was created to be comprehensive and real, yet simple and friendly. Ideal for learning, teaching and web-based demonstration of data analysis and visualization. Learn about curated datasets --- # Upcoming Events & Learning opportunities 📅
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| When | Topic | | :--- | :--- | :--- | | [Join Us](https://www.meetup.com/observablehq/events/286594259/) | July 13 | Observable For Data Analysts | | [Join Us](https://www.meetup.com/observablehq/events/286594887/) | July 20 | Observable for SQL: Faster analysis | | [Join Us](https://www.meetup.com/observablehq/events/286598725/) | August 10 | Observable For Data Analysts | *If you would like to host a future Observable Plot Meetup, please contact us at plot@observablehq.com* **“Data Visualization First Steps.”** Anjana Vakil, an Observable Ambassador, has just released this introductory course for Frontend Masters. Here’s the description (and [check out the teaser video!](https://frontendmasters.com/courses/data-visualization/)) > _Instead of staring at spreadsheets of data, you can turn that data into something visual and interactive! It allows you to explore and answer questions about the information quickly. In the course, you’ll build hands-on projects with the Observable Plot library. You’ll make visualizations or “plots,” add interactivity and embed your plots around the web with JavaScript and frameworks like React. By learning these fundamentals, you’ll be able to have what you need to move on to more complex work with d3.js and beyond!_ This course and others like it are available as part of the Frontend Masters video subscription. Preview the course --- ## Observable is Hiring! We are currently looking to fill a variety of roles including Senior Software Engineer, Senior Web Developer, Product Manager and Senior Product Manager, Product Marketer, and more. Please help us spread the word! Jobs at Observable

--- *This issue was edited by [Fil](https://observablehq.com/@fil) and [Maria](https://observablehq.com/@mariaciampa). Please reach out to us by emailing plot@observablehq.com with your suggestions for the next issue.*
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