Hi there dear reader, so, I know that in the previous article that I penned, I stated that I'd be showing you how to create buttons that you can interact with (and I know you know that because you're reading these in order...right?) but I recently had to create something that was so cool, I had to write about
First things first, 10 points to anyone who understands what the title is referring to (that's either Charles Atlas' workout philosophy, or one of core tenants of Bokononism in Kurt Vonnegut's standout Cat's Cradle).
Now, with my obscure reference quota filled for the day, let's assume that you've been working as an analyst for some time now. As stated in
What's up data gang? If you've been reading along throughout this journey, you'll realize that all of my posts have something in common (other than Excel...smartass), they all assume that you're already working with data...even if it's just cursory exposure. Well, every journey of a thousand worksheets begins with a single lookup, and hopefully this story will help
Hi there dear reader, we've now reached a crossroads in your ability to use Excel as a means of data analysis. If you've been following along, you've learned how to use basically every tool that an Excel analyst would need to have in the front of their minds. For those just joining us, these tools are as follows:
I know its been a while, but you'd be surprised how little time an energy you have when you're building a plane while you're flying it...or perhaps, if you've been reading along with this series, you won't.
Before jumping right into the deep end and showing you some lesser known (but supremely useful) tricks to save even more time
If you've been following along with the posts in this series, and you've been putting some of the scenarios into practice, you've now crossed a crucial juncture in your never ending quest to master the bloated beast that is Excel. To put things in perspective, if you've conquered all the quests that I've set you upon, you should now be
If you've been following along on our proverbial Hogwarts for budding Excel wizardry, you would know that we recently crossed an important Rubicon upon which all Excel, and indeed all computer programming languages are built: The mighty IF statement. Remember, the IF statement allows the wielder to fork reality at their whim, to bend the code on a lark, to
If you've been following along, we discussed in the last several posts of this series how, if you're not working in a very "tech forward" organization (like my two compatriots on his site), but you have the same title, you're probably obtaining your data from another department (or it might be a sentient sponge, or a gang of squirrels with
In my last post, we explored the organizational structure of many large companies and how this pertains to one's duties as a fledgling data analyst. I highly recommend you go back and read the first post on "dirty" data, but just in case you're one of those rebels who thinks that they're too cool to read part 1, here's a
In my last post, we discussed what separates a true analyst (read: technical) from a project manager wearing the mask of an analyst like some Scott Snyder era Joker (I figure that there's a solid overlap between fans of comic books and fans of the real world application of data. Note that this is a study with an N = 1