Think about the users journey…

After attending a few Tableau User Groups and speaking to the community I always wanted to see what everyone’s ‘best practices’ were, what are the routes people take to get to the end viz? After attempting to complete a #WorkoutWednesday it became known that myself and Charlie go about some vizzes the same way in getting to the end result. It was rather spooky, relate-able, great minds think a like moment with how close both our blogs were. Therefore, here is my thought process…

When I am handed a requirements request I like to draw out ideas in my head or on the nearest scrap piece of paper I can find. This helps the requester understand what it will look like and give the full picture to work too for myself. It could range from 4 – 6 boxes built up of line and bar charts. It lets the requester say ‘No I’d like the line graph on the left, the bar at the top’ etc. It helps them as much as me; requirement gathers are by far one of the best part in this journey.

Here is some rough pictures I have used before…

When I get to the data side, I go through to understand what measure and dimensions I will have to play with and ask myself the following questions:

  • What makes up the column names?
  • What does half of these columns mean – I do not know everything that goes through my work place so it is okay to ask questions.
  • What date fields are we having to take in to consideration?
  • Do I need to add many calculations or are they already there built in the data source?
  • Do I need to rename any fields to make it easier?
  • How many rows are there?
  • What is the end goal?
  • What is it they want to see but cannot explain in words?

This starts to build up a picture of what I am about to work with – sometimes it is going down a rabbit hole and you have no idea but, if you think of questions to ask yourself you can be pretty prepared for it.

It is important to keep the data story you are creating efficient and to make sense to yourself as well as the end users. Keep the data points away from being over complicated, use tool-tips to the max to help understand, make the titles of the charts dynamic so when you have a filter or parameter selected they all change – like magic! It might seem small having dynamic titles but I always get great feedback on this and it helps remind what you are looking at. I am always told to think about the user’s journey. Not everyone can understand a cross tab full of figures and names, so we need to turn these multiple rows into a story so the users can easily understand and identity their data to make decisions on the fly.

Now, if I have to work backwards from a viz on #MakeoverMonday or a dashboard that I see and want to recreated, then I try to reverse engineer. As mentioned previously I carry my Tableau Bible everywhere with me and this is built up of pages full of calculations that I will not always remember. It is a great reference point; yes maybe a little old-fashioned hand writing them out.

If this ever got set on fire, I would be in trouble.

Reverse engineering now is my favourite way to learn new things in Tableau, and exploring different data sets. You get the moment of ‘who knew that could happen’. Learning from others is a great way to learn and pick up new tricks whether that’s blogs, videos, networking or trial and error.

Thanks for reading a small snip-it of how I get to my end Viz.

I’m Just Like You…

Welcome, it’s my first Blog – if you couldn’t tell. I wanted to share my experiences and help others to grow, learn and develop.

So I started off with Tableau like a deer in the headlights as everyone else probably did, I still don’t even understand everything I am doing but its great, it gives me challenges everyday and keeps me involved. However, you know what the best thing is to do – trial and error! I have learnt not to be afraid of testing this theory, or figuring it out thinking “well if that doesn’t work, try this” until you find the solution you are aiming for. If I do figure it out, I tend to make a note of it, and carry my Tableau bible everywhere with me. No one expects you or me to remember everything.

With Tableau, you can explore so many different areas, and the community is the best to get new ideas from and share experiences or even troubleshoot some problems as well as sharing frustrations. We all have that moment when Tableau does not work, or tableau is having a slight meltdown or you’re having that meltdown in a data rabbit hole.

I wanted to start blogging after inspiration from a pool of other data friends out there, after reading their blogs and sitting back watching all the data madness I believed it was time that I too would join the crowd, I’m sure I even dream about what I am going to say in my blog post – and here we are!

So let’s start with my first #MakeOverMonday I kept this simple and followed the lines of a bar chart – we all know bar charts inside out. I always feel like sometimes I should push the realms of possibility but then I end up creating a bar chart and hey presto it makes sense without all the tricks. If you’ve come across @ChrisLuv you’d know he uses the KISS method  – ‘Keep It Simple Silly’ or stupid which ever you prefer. 😀

It does the job, it tells you women are paid significantly lower than what men do in Australia, I have even put a filter on occupation so you can select above the bar chart. Then followed by a percentage of gender types in that particular work place. What more do you need?

You can make a quick snap shot decision based on a simple visualisation without the headache of figuring out what is what. #MakeOverMonday – reason No.212 (exaggerated a little there) why it is a good weekly challenge to learn from. A simple bar chart, yes, but you can derive more questions from it to go build on whether on your viz or more vizzes! So here you can go away and ask yourself, why do Women get paid less? Is it the education system? Is it the job system? Is it because women are more likely to stay at home? Who knows – but lots to dig deeper from a simple bar chart. Yay.




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