### Excel

16 Posts
Professor Snacks reveals Excel secrets.

## I Owe My Job to Mr. Robot

##### Entering the Dataverse

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 you position yourself to inner-join the fraternity of functions.

For the two of you who went out of the way

Data August 14

## Importing Excel Datetimes Into Pandas

##### Pandas & Excel, Part 1

Different file formats are different!  For all kinds of reasons!

A few months back, I had to import some Excel files into a database. In this process I learned so much about the delightfully unique way Excel stores dates & times!

The basic datetime will be a decimal number, like 43324.909907407404.  The number before the decimal is the day, the number afterwards is the time.  So far, so good - this is pretty common for computers.  The date is

Pandas August 13

## Active-X Gonna Give it to Ya

##### Named Ranges and the Active Xs who Love Them

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:

• Pivot Tables (both the report layout and the tabular layout)
• Lookup Functions
• IF + AND + OR statements
• And the combination of these three
Excel August 10

## Your Invitation to the Pivot Party

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 (which you'll no doubt use to implement new tricks to save more time, it's a vicious cycle), allow me to

Excel July 21

## The Way of The Knife

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 able to:

* Open up and add macro code into an Excel Worksheet
* Utilize lookup functions (particularly Index(Match)) to compare

Excel July 05

## Yes...If(And))

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 be the Franklin Richards of the spreadsheet just by asking the computer a simple true/false question. Considering the gravity

Excel June 20

## Getting Iffy With it

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 dreams of world domination, you'll actually have no idea) who you will have no contact with. As a

Excel June 10

## Taking Out the Trash

##### Dealing With Dirty Data Pt 2

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 quick refresher to put you back in the analytical mindset (which is the perfect combination tactical laziness, ADHD,

Excel June 05

## Dealing with Dirty Data

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 so it bares no statistical significance, but I have a funny feeling...call it spidey sense).

Full disclosure, this post

Excel May 31