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 in your enterprise data catalog. 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.
Check out the Understanding Bigfoot Sightings project to share your thoughts on this
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 usa whatsapp number data helpful hints (like the schema when you’re in the query tool) live right alongside the data.
Click the
i
next 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 in the data catalog software can re-run his query, inspect the results, and create new Insights from the same underlying data.