I promised a return to Spotfire API for IronPython posts, and that is finally happening. I had to get a few drafts cleared out, like 5 Ways to Approach Troubleshooting Data Problems, but now I’m back on track discussing how to change visualization titles with IronPython
In October last year, I committed to spending 100 hours learning IronPython. I wrote several “starter” IronPython posts, which can be found in the Data Shop Talk Archive. I have lost count of how much time I’ve spent on IronPython, but the clock starts again today.
My goals haven’t changed. They are still to ….
- Get an understanding of IronPython structure
- Develop an understanding of the Spotfire API
- Apply that understanding in Spotfire code examples
For the next several weeks, I’ll be using the code snippets posted on The Spotfire IronPython Quick Reference to explore the API. I’ll punctate that with an article here and there are the IronPython/Python structure as I go. Read on for this week’s code snippet.
I’ve never found a great way to explain what I do. Analogies help right? The first analogous thing that pops into my head is a Rubix cube. My day to day work feels like trying to solve a Rubix cube over and over, and the cube is a big pile of dirty, messy data. Thus, much of my day to day is troubleshooting data wrangling problems.
Some days, it’s incredibly satisfying, as solving a Rubix cube is. Other days, I want to rip the stickers off and throw it out the window. When I drafted this post, I was in “rip the stickers off” mode. I was frustrated with how long it took to solve data wrangling problems. When I get in that mindset, I want to share what I learn so other people don’t suffer as much. Thus, this post discusses my top 5 ways to approach troubleshooting data problems. These methods will apply no matter what application you are working in or if the problem is related to data wrangling or logic problems. Read on for details.
As regular readers know, I attended the Gartner Analytics Conference in Orlando a few weeks ago. Since then, I’ve been synthesizing my key takeaways in blog posts. My first key takeaway centered around Organizing the Chaos. Last week, I followed that up with a post on Governing Self Service BI. This week, I am writing up the last key take away — drive analytics innovation with efficiency.