Monthly Archives

January 2018

In Data Visualization on
January 28, 2018

The Importance of Understanding

This may end up becoming an entire series of posts of The Importance of…

Understanding. What I mean by this is the importance of understanding what’s actually happening. In terms of data, take Tableau. Tableau is a wonderful data visualization tool. One that’s incredibly easy to get started with. But, there comes a point where users can get frustrated because the computer/software “just won’t do what I want it to!”

This is where the lack of understanding of what’s happening really becomes painful. As I myself tackle more of the complex and advanced features of software like Tableau, I’m having a lot of the ah-ha moments. As I work through problems, read blogs, and attempt to recreate what I’m seeing out there in the world – I’m finding a deeper understanding for what the software is actually doing, capable of doing, and where the software can do something – but then knowing that it’s really not designed for that and there may be a better way.

As an example, I recently recreated some of the work @jonathandrummey and @rodyzakovich outlined around the ideas of Filters As Parameters by means of scaffolds of data. The concept is to replicate data so that no matter what you do, there is always something present in the viz. This is a fundamental concept in Tableau. If an item is present in the viz, you can interact with it. However, when you filter something out – it’s no longer there and you can’t use it. Makes sense, right? So the ‘hack’ is to replicate the data so that you can filter something out – and still have it available.

This is the point of understanding. By thinking clearly about the problem and combining with understanding of how something works, you can create a massively powerful solution – one that wouldn’t be available without the knowledge.

In Data on
January 27, 2018

The Importance of Practice

Image result for practice

10,000 hours makes you an expert, so says Malcolm Gladwell. Others say otherwise. Regardless of either side there, practice is important. Whether it comes to Tableau, Python – my favorites – or any other data tool/language, practice is important.

It’s important to schedule time for meaningful practice. Something as small as 10-15 minutes per day can often be enough to keep you sharp. There are many challenges online to give you entertaining challenges that make practicing fun. For example, workout-wednesday.com provides advanced challenges for Tableau users and developers to advance their skills. Read more

In Data on
January 11, 2018

Learning data

Learning data likely has never been easier. With so much interest in this, sorry, courses and experts are popping up – there’s another – constantly.

My favorite right now is Udemy and I’ve been working my way through their offerings. The difficult part of learning is when it comes to the point that you know how to create a variable, indeed through a strong, and even write functions. The offerings being the beginner level drop significantly. This makes sense, people need to get started and it’s easy to create courses that appeal to many. After that, there’s a lot of ways to go with this.

I’m considering creating my own course. Not to as to the nose, and not for profit. I’m interested in really forcing myself to understand further, and the best way to learn, is to teach.