Journeys with data

5:49 PM Fri, Phil: I’m just awaiting feedback from the final 2 judges… 9:09 PM Fri, Phil: The finalists will be announced within the hour (hopefully) 3:34 AM Sat, Phil: The finalists are… Here’s an idea for the dataset to be used at next year’s datathon - the heart rate, blood pressure and other vital signs over the hours before and after the announcement of the finalists 😅. The competition had two categories this year. ...

The ANZ jedi masters’ bible is ‘Lean Startup’ - to me it is an application of the scientific method to building a business. It mentions creating a minimum viable product (MVP), validating with potential customers, updating the MVP, validating again, then repeating as rapidly as possible. To validate our Data2App, we cold called real world potential customers after running out of friends and family. We hoped for this: And achieved this: ...

Are you tough enough for this journey? Want stronger ABS? We added census data-packs to our lanky Data2App by visiting the 2016 Australian Bureau of Statistics data packs website. It’s like a candy store for data geeks. We picked four flavours Plum Age Blueberry Students Mint Income Marmalade Employment With these new flavours, users of our Data2App can cherry pick their stops according to passengers from neighbourhoods with above average age, higher proportions of students, higher income or higher rate of employment. ...

Freebies are tempting. We considered using the free for a limited time Tableau. In my opinion though, R Shiny has three things that shone through wealth of community packages free for an unlimited time requires knowledge of R and coding Perhaps some people think the last point is a drawback - horses for courses. There’s a more in depth comparison on homeagency This was our first version on shinyapps. ...

It’s a lot easier driving when you’re looking out the windscreen to see where you’re going. Two members of the Mathemagicians had previous experience and their advice was our windscreen. Data ingestion was a challenge The main recurring theme of the best team projects was that they found a clear and coherent problem to solve and they focused on it I can’t emphasise enough how important research into the industry is ...

Fleep is the new tinder for data scientists. After some online speed dataing a team was born. I showed my wife a list of names we’d come up with. The result of the vote is at the end of this post. Sorry Fleep, once we got serious it was time for Slack where we set up a channel called let’s do for voting using emojis. It’s a good way to keep trigger happy channel creators under control 😊. ...