That's what I get when I say 'Visual analysis'. People tend to think I'm talking about making a chart. I am, but more than that, I'm talking about doing your data discovery visually with Tableau.
Chris Stolte gave a great talk on this a few years ago and I put it at the bottom of this blog as a Lunch n Learn. I highly recommend you watch to see his brilliance in action.
The structure starts out ok at the upper levels - where rules exist, but gets more and more bogged down as you dive closer to your department or team's shared folders.
Sometimes, there's absolutely no logic within your department/team folder - it's based on each person's internal logic.
Sometimes, there's too much logic - too many folders to keep going down until you reach the final folder which only houses one document.
This problem of categorical organization isn't limited to business LAN structures, it occurs everywhere humans need to create structure or taxonomies. (That's because there's two types of humans: Groupers and Lumpers. Groupers like to give everything a group whereas Lumpers like to lump everything together into one group.)
Why does this matter and what does it have to do with Tableau?
Labels: Excel to Tableau
This post was originally shared on Tableau's blog.
I rarely get requests for Tableau dashboards on smartphones, probably because they are usually a secondary concern. That is, most business dashboards don’t automatically translate well to the phone format, so they are not high on the priority list. Here are a few things I’ve learned when making these wee dashboards that might be of help to you.
Kitsch (/ˈkɪtʃ/; loanword from German) is a low-brow style of mass-produced art or design using popular or cultural icons. Kitsch generally includes unsubstantial or gaudy works or decoration, or works that are calculated to have popular appeal.
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The funny thing is that 'Drill Down' is just the opposite. People ask for it - make a big deal of it - in dashboard building, not realizing that this is a simple thing in Tableau. There's a few ways to provide the 'Drill Down', but it's important to first ask what exactly do they mean by 'Drill Down'. Usually, it's one of three things:
Assless chaps is one and the other is Executive Dashboards.
Both searches may start out innocent enough, but will make you want to tear your eyes out. An Assless chaps search will at least give you a giggle, if not haunt your nightmares for years.
But an Executive Dashboard search will leave you exhausted and diminish your will to live. If you're analyst anyway.
You'll realize that in 2015, at least 20 years into the BI movement, and there's still little in the way of good dashboarding out there and that is the reason why you are always being asked to replicate the crap. Pardon my language, but it's sooooo frustrating. <big whine there>
Since I love to share my misery, let's play Where's Waldo with this search. How many crap dashboards do you have to search through until you find a good one?
The energy demand in developing countries like China and India is growing at a phenomenal pace. At the same time most countries are looking to reduce carbon emissions and their dependence on fossil fuels.
Unfortunately, there's no magical Scotty in engineering with the ability to bend the laws of physics and deliver that power without consequences. There is no perfect option.
I recently saw a documentary on nuclear energy called Pandora's Promise. It made a pretty compelling case for the nuclear option, but I wasn't completely convinced. So, I decided to find some data and look at it myself... because that's what analysts do.