We’ve added scheduling to the “Code in your browser” tool on beta.scraperwiki.com. For now it is daily, as that covers most people’s uses. Please ask if you need something else! Or have a look at the tool’s source code. Want to know how to use the new ScraperWiki? There’s a quick start guide to coding […]
Summarise #3: Buckets of time and numbers
In the last two weeks I introduced the “Summarise automatically tool”, which magically shows you interesting facts about any dataset in the new ScraperWiki. It’s an open source tool – geeks can play along on Github, or use the SSH button to log into the tool and see the code running in action. After adding […]
Summarising Serendipity
5 years ago, a friend and I sat down in a pub in Shrewsbury, drank some beer, and chatted about the web. Every month since, people have been doing that in Shrewsbury (and a few times in Ludlow). It’s called ShropGeek (we’re very savvy in our naming conventions, you see). It was started and organised […]
Summarise #2: Pies and facts
In a previous blog post, I showed how by counting the most common values in each column (like a pivot table, or “group by” in SQL), I managed to make a tool that can automatically summarise datasets. I quickly realised that there were better ways of visualising the data than just showing tables. For example, […]
Summarise #1: Grouping automatically for you
Late at night, after a long conversation in a bar (after Social Media Cafe), Zach mentioned one feature that everyone loved about Kasabi. It had an overview page, which automatically summarised each dataset. Of course, Kasabi did it using linked data – telling you how many of your triples were geographic locations, and how many […]