Here is a New year gift to all our readers – free 2013 Excel Calendar Template.
This calender has,
- One page full calendar with notes, in 4 different color schemes
- Daily event planner & tracker
- 1 Mini calendar
- Monthly calendar (prints to 12 pages)
- Works for any year, just change year in Full tab.
See more snapshots here: 2013 Calendar template snapshot 1, snapshot 2
Download 2013 Calender – Excel File
Click below links to download the calendar you want:
- 2013 Calendar & Daily planner [Works in Excel 2007, 2010 & 2013]
- 2013 Calendar Template [Excel 2007, 2010 & 2013]
- 2013 Calendar Template [Excel 2003]
How does this Calendar work?
This is the same file as 2012 calendar with the year changed. The new feature is event planner. So I will explain that alone.
- First take a look at either 2011 calendar or 2012 calendar pages to see how the basic calendar is constructed.
- In the daily events tab, we have full calendar for 2013 (or any other specified year) listed one day per row (so maximum rows are 366).
- Each day can be marked as one of the 4 types of events – Important , Anniversary, Holiday or Vacation.
- When you mark a day with either of these 4 events, in an extra column, a formula determines which event it is and places a number (between 1 to 5 – 1 for Important, 2 for Anniversary … 5 for no event)
- Back in the full calendar, we use conditional formatting to color a day based on what number is associated with it in daily planner.
- COUNTIF formulas are used to count how many days are marked as Important, Anniversary or Holiday and summarized in the full calendar view.
Go ahead and enjoy the download. The file is unlocked. So poke around the formulas and named ranges. Learn some Excel.
More Calendar Downloads:
Download these additional calendar templates and start your new year in awesome fashion!
2012 Calendar, 2011 Calendar, New Year Resolution Tracker, Picture Calendar Template and Todo list template
Techniques used: INDEX | OFFSET| INDIRECT | Array Formulas | Using Date & Time in Excel | Conditional Formatting
One Response to “SQL vs. Power Query – The Ultimate Comparison”
Enjoyed your SQL / Power Query podcast (A LOT). I've used SQL a little longer than Chandoo. Power Query not so much.
Today I still use SQL & VBA for my "go to" applications. While I don't pull billions of rows, I do pull millions. I agree with Chandoo about Power Query (PQ) lack of performance. I've tried to benchmark PQ to SQL and I find that a well written SQL will work much faster. Like mentioned in the podcast, my similar conclusion is that SQL is doing the filtering on the server while PQ is pulling data into the local computer and then filtering the data. I've heard about PQ query folding but I still prefer SQL.
My typical excel application will use SQL to pull data from an Enterprise DB. I load data into Structured Tables and/or Excel Power Pivot (especially if there's lot of data).
I like to have a Control Worksheet to enter parameters, display error messages and have user buttons to execute VBA. I use VBA to build/edit parameters used in the SQL. Sometimes I use parameter-based SQL. Sometimes I create a custom SQL String in a hidden worksheet that I then pull into VBA code (these may build a string of comma separated values that's used with a SQL include). Another SQL trick I like to do is tag my data with a YY-MM, YY-QTR, or YY-Week field constructed form a Transaction Date.
In an application, I like to create a dashboard(s) that may contain hyperlinks that allow the end-user to drill into data. Sometimes the hyperlink will point to worksheet and sometimes to a supporting workbook. In some cases, I use a double click VBA Macro that will pull additional data and direct the user to a supplemental worksheet or pivot table.
In recent years I like Dynamic Formulas & Lambda Functions. I find this preferable to pivot tales and slicers. I like to use a Lambda in conjunction with a cube formula to pull data from a power pivot data model. I.E. a Lambda using a cube formula to aggregate Accounting Data by a general ledger account and financial period. Rather than present info in a power pivot table, you can use this combination to easily build financial reports in a format that's familiar to Accounting Professionals.
One thing that PQ does very well is consolidating data from separate files. In the old days this was always a pain.
I've found that using SQL can be very trying (even for someone with experience). It's largely an iterative process. Start simple then use Xlookup (old days Match/Index). Once you get the relationships correct you can then use SQL joins to construct a well behaved SQL statement.
Most professional enterprise systems offer a schema that's very valuable for constructing SQL statements. For any given enterprise system there's often a community of users that will share SQL. I.E. MS Great Plains was a great source (but I haven't used them in years).
Hope this long reply has value - keep up the good work.