By now, you’ve probably heard about the launch of Data Projects on data.world’s first birthday. No? Check out Part 1, you’re in for a treat.
tl;dr: Data Projects are the central hub where every team member, from the most technical to the least, can contribute their skills and expertise. Projects help your team collect data sources, discuss hypotheses, and share insights. But how do you collaborate when you’re still making sense of it all, while sourcing, exploring, and profiling your data?
That’s where Workspaces come in.
Let’s break down the Workspace:
- Your data inventory
When you add files or link existing datasets, each data source gets listed here for easy access to your project’s “bill of goods.” No more hunting and gathering — all of your data, documents, analysis, and queries live together in harmony on data.world.
- Full screen file preview
Investigate and assess the raw data without downloading it and create quick exploratory visualizations from any table (whether it’s a file or query results), while keeping important context close by.
- Contextual sidebar
All of your metadata, definitions, and more helpful hints (like the schema when you’re in the query tool) live right alongside the data.
inext to any column name to get descriptive statistics inline.
- Export options for easy I/O
data.world is not designed to be a walled garden. Simply export to Python, R, Tableau, and others to continue using the analysis and visualization tools you already love. It’s easy to get data and analysis in and out via our robust API.
Workspaces are all about exploring and understanding data, while capturing context for future reproducibility.
Every time you add a file, change a definition, publish a query, or create an Insight, it’s automatically documented in the activity stream and linked to the Workspace to make reproducing changes easy.
For example, check out this Insight that @databeats published from the Workspace on the Higher Ed project. Anyone can re-run his query, inspect the results, and create new Insights from the same underlying data:
And here’s the coolest thing about Workspaces: you can launch one for any project or dataset, whether it was created by you or another community member. Get involved in an existing project by posting in the discussion, or create your own from the “Add to project” button on any dataset.
The Data Project-Workspace-Insight trifecta is a leap forward for collaborating on data.world.
And it didn’t come easy. There were six months of research, user interviews, whiteboard sessions and hand-drawn sketches before we committed to going down this path.
Datasets are great for working on the data and sharing finished artifacts. But, they aren’t (and shouldn’t) be the best place to work with your data, or more importantly, someone else’s, for example Census data or a shared dataset uploaded by a colleague.
We like to think of Workspaces as your data playground: the place to explore your full data inventory without fear of messing anything up.
While investigating a new data source, you want to be able to preview the tables, understand the columns and their characteristics, write queries, build exploratory visualizations, document as you go, and share Insights with your stakeholders. There’s a lot to do, and it’s not always a linear process.
We realized that a lot of this functionality already existed on data.world, but as separate tools without any connective tissue between them.
Workspaces connect your files, documentation, queries, and visualizations so it’s easy to switch between them:
And that’s how the file explorer, data dictionary, charting tool, and query builder all came together to form the Workspace, a tool much larger than the sum of its parts.
We’d love to hear from you as you explore Data Projects and Workspaces.
Join our new data.world community Slack group to share feedback or submit support requests directly through the app.