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Data Limiting in the Web Player

When I originally conceptualized the series on data limiting, I incorporated the web player at the end. I thought that by the end, I would have explained all the different methods of data limiting and would conclude with how those methods are limited in the web player.

I’m only one part in, and I realize data limiting in the web player needs to come before everything else. Each post explains when to use a particular method, and quite often you use (or don’t use) a method BECAUSE you are working in the web player. So, I am reordering things a little bit. Part 8 is now Part 2!

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Modules, packages, and repositories. Oh my!

Modules, packages, and repositories are three terms that often cause confusion for analysts as they leave BI tools behind and begin to write their own code. I’ll reference these terms in many future posts, and you’ll continue seeing them throughout your career. We’ll cover the basics of each and go over a few examples in Python and R.

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Data Limiting with Filtering Schemes

Welcome to part 3 of my Spotfire Data Limiting Series. The first post in the series covered data limiting with filter and data panels. The second post talked about data limiting in the web player. This post will explain how to use filtering schemes to limit data. This is an essential skill for new users to master. For more experienced users, the post will also explain when filtering schemes work best and when to choose another method.

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Panel Changes in Spotfire X

This afternoon, while waiting on data to load into a Spotfire project, I decided to get a jump on my data limiting series. The series starts with filter panels and data panels, which changed a lot in Spotfire 10 and beyond. I say “beyond” because Spotfire 10.1 was just released. Anyway, I started the post by explaining those changes, which turned out to be quite lengthy. So, I decided to put panel changes in Spotfire X into it’s own post. Read on for more details.

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