It’s only been up for a few days, but so far the response from the community has really been fun to watch and be a part of. It was a real team effort! Given their previous work with Learn CSS Layout, I guess that should come as no surprise.Īt the end of the week, this scrap of an idea had been transformed into a real live thing! Even Adam Sontag got involved by giving it a name and a place to live. During the week, Irene productionized the build system, wrote the difficult tasks of string manipulation and regular expressions, provided expert guidance, and even made an awesome logo for the project! Yannick and other Bocoupers, Earle Castledine, and Mike Pennisi helped with content suggestions and ways to make the guide more interactive in the future. As a new member of the Bocoup Data Visualization team, my teammates, Irene Ros and Yannick Assogba suggested that this would be a good time to focus on this fledgling guide idea, and turn it into something real. This is a special time for Bocoupers where we are encouraged to connect with others on collaborative projects. Recently, the Bocoup family participated in their extra-special week-long Bocoupfest extravaganza. It took a small tweet from Lynn Cherney regarding the lack of comprehensive data munging guides for JavaScript to suggest that there might be a need for this kind of introductory material. Its a powerful tool, but one that isn’t often considered when processing data. The guide serves as a starting point, and it is by no means comprehensive, but it suggests a way to get started and contains some handy tips that I, Irene, and others have learned along the way.įor a while, I have been wanting to create a tutorial around all the uses of d3.nest in terms of restructuring and summarizing data. Also, the guide can help those who have done data processing in other scripting languages, like python or R, and now have a need for similar data manipulation tools in JavaScript. The idea behind this project is to help those who may have some JavaScript experience, but have not really dealt much with data.

In it, Irene Ros and I, and a number of other collaborators, try to provide examples of common processing techniques using native JavasScript and a minimal set of libraries, namely D3.js and lodash. attempts to be a starting point for data processing and analysis using JavaScript.

Learn js