Last week, we had a lovely poll on what are your favorite features of Excel? More than 120 people responded to it with various answers. So I did what any data analyst worth his salt would do,
- I downloaded all the 120+ comments data
- I home brewed a large cup of coffee and started gulping it.
- I started analyzing the comments
So here are the top 10 features in Excel according to you.
1. Excel Formulas
63 people (50%) said Formulas are their favorite feature in Excel. Of course, you can say, Formulas & Functions are Excel!!! . They are what Excel is made of. But then again, a surprising fact is very few people actually know how to use formulas. Most people would Excel as a glorified notepad or ledger – just to type data. Once you understand the power of formulas, then you can be an irresistible analyst. Your boss & colleagues will be all over you for insights & information, much like the girls in Axe commercials.
Resources to learn Excel formulas:
- Introduction to Excel formulas – video
- Top 10 formulas for aspiring analysts
- 51 everyday Excel formulas – explained
2. VBA, Macros & automation
55 people said VBA is what makes them use Excel. VBA stands for Visual Basic for Applications, is a special language that Excel speaks. If you learn this language, you can make Excel do crazy things for you, like generate and email monthly reports automatically while you are busy reading this article.
Macros, little VBA programs are what you write to achieve this. Learning VBA can be quite fun, challenging & extremely rewarding experience. Once you learn VBA, suddenly your company will find you invaluable, thanks to all the time & effort you will be saving due to automation.
Resources to learn VBA:
3. Pivot Tables
53 people said they love Pivot tables. They save you a ton of time, let you create complex reports, charts & calculations all with few clicks. No wonder so many people love them.
Pivot tables are ideal tools for managers & analysts who always have to answer questions like,
- What is the trend of sales in last 6 months?
- Who are our top 10 customers?
- Which button do I press for strong latte?
May be not the last one, but Pivot tables can answer almost any business question if you throw right data at them.
Resources to learn Pivot tables:
- Introduction to Pivot tables
- Top 5 Pivot table tricks & tips
- Pivot tables – detailed information, examples & tutorials
4. Lookup Formulas
25 people said lookup formulas (VLOOKUP, HLOOKUP, INDEX, MATCH etc.) are their favorite feature of Excel. Lookup formulas help you locate any information in your workbooks based on input criteria. By knowing how to write lookup formulas, you can build dashboards, make interactive charts, create effective models & feel pretty darn awesome.
Resources to learn lookup formulas:
- What is VLOOKUP formula, how to use it?
- Comprehensive guide to Excel lookup formulas
- VLOOKUP quiz – how well do you know it?
5. Excel Charts
Excel charts help you communicate insights & information with ease. By choosing your charts wisely and formatting them cleanly, you can convey a lot. I guess, most people hate Excel charts (hence it is at 5th position), because they are hard to work with. You can loose a whole afternoon formatting the wedges of a pie chart. But thanks to resources like Chandoo.org, you know better to make a column / bar chart and be done in 5 minutes.
Resources to learn Excel charts:
- How to select right type of charts for your data
- Creating combination charts
- More charting principles & charting tutorials
6. Sorting & Filtering data
If Microsoft ever needs few extra billions of cash, they just have to turn sorting & filtering features in Excel to pay-per-use. These ad-hoc analysis features are so powerful & simple that any aspiring analyst must be fully aware of them.
Resources to learn sorting & filtering features:
- Filter by selected cell’s value & other cool tips
- Sorting pivot tables in anyway you want
- SUBTOTAL formula and using it with filters
- Introduction to Advanced filters
- More sorting tips | filtering tips
7. Conditional formatting
Conditional formatting is a hidden feature in Excel that can make your workbooks sexy. Just add some CF to highlight your data and you will turn boring into interesting. With new features like data bars, color scales & icon sets, conditional formatting is even more powerful.
Resources to learn conditional formatting:
- Introduction to conditional formatting
- Conditional formatting basics – Video
- Conditional formatting – top 5 tips
- More tips & tutorials on conditional formatting
8. Drop down validation & form controls
Right from my 3.5 years old daughter to CEO of a company, Everyone loves to be in control. So how can you make your workbooks interactive, so that end users can control the inputs ?
By using form controls & drop down lists of course.
Resources to learn dropdown lists, form controls:
- How to create an in-cell drop-down box for entering values?
- Introduction to Excel form controls
- Making your charts, workbooks & dashboards interactive – detailed guide
9. Excel Tables & Structural References
Excel tables, a new feature added in Excel 2007 is a very powerful way to structure, maintain & use tabular data – the bread and butter of any data analysis situation. With tables, you can add or remove data, set up structural references, connect them to external sources (SQL server, ODBC etc.), add them to data models (Excel 2013 onwards), link them to PowerPivot (Excel 2010 onwards), format automatically, filter & sort with ease and still be out of office before lunch break. It is a pity Microsoft did not call them pixie dust or magic mix.
Resources to learn Excel tables:
- Introduction to Excel tables
- Using Excel tables – Introduction video
- Using structural references – video
- More tips & tutorials on Excel tables
10. PowerPivot, Data Explorer & Data Analysis features
Although Excel in itself is quite powerful, it struggles to analyze certain types of data,
- Combining multiple tables and creating reports from them
- Processing data from difference sources and getting output to Excel
- What if analysis, scenarios & optimization
This is where add-ins like PowerPivot, Data Explorer and Analysis toolpak come in to picture. They let Excel do more, just like bat-mobile lets batman kick more ass.
Resources to learn more:
- Introduction to PowerPivot
- Introduction to DAX & PowerPivot measures
- Using Solver in Excel
- More on PowerPivot | data explorer
Learn all these features & more in one place
If you are looking to master all these top 10 features (and more) in one place, I highly recommend enrolling in my online classes. These training programs offer a step-by-step, in-depth, practical instruction on all areas of Excel, VBA, Dashboards & PowerPivot so that you can be awesome at your work. Click on below links to learn more.
- Excel, VBA & Dashboard training programs
- Excel & Dashboard training programs
- PowerPivot training program (next batch in July, 2013)
Or if you prefer face-to-face training & live in USA, you are in awesome luck. I am visiting USA this summer to conduct advanced excel & dashboards masterclasses in Chicago, New York, Washington DC & Columbus OH.
Click here for details & to book your spot.
20 Responses to “Simulating Dice throws – the correct way to do it in excel”
You have an interesting point, but the bell curve theory is nonsense. Certainly it is not what you would want, even if it were true.
Alpha Bravo - Although not a distribution curve in the strict sense, is does reflect the actual results of throwing two physical dice.
And reflects the following . .
There is 1 way of throwing a total of 2
There are 2 ways of throwing a total of 3
There are 3 ways of throwing a total of 4
There are 4 ways of throwing a total of 5
There are 5 ways of throwing a total of 6
There are 6 ways of throwing a total of 7
There are 5 ways of throwing a total of 8
There are 4 ways of throwing a total of 9
There are 3 ways of throwing a total of 10
There are 2 ways of throwing a total of 11
There is 1 way of throwing a total of 12
@alpha bravo ... welcome... 🙂
either your comment or your dice is loaded 😉
I am afraid the distribution shown in the right graph is what you get when you throw a pair of dice in real world. As Karl already explained, it is not random behavior you see when you try to combine 2 random events (individual dice throws), but more of order due to how things work.
@Karl, thanks 🙂
When simulating a coin toss, the ROUND function you used is appropriate. However, your die simulation formula should use INT instead of ROUND:
=INT(RAND()*6)+1
Otherwise, the rounding causes half of each number's predictions to be applied to the next higher number. Also, you'd get a count for 7, which isn't possible in a die.
To illustrate, I set up 1200 trials of each formula in a worksheet and counted the results. The image here shows the table and a histogram of results:
http://peltiertech.com/WordPress/wp-content/img200808/RandonDieTrials.png
@Jon: thanks for pointing this out. You are absolutely right. INT() is what I should I have used instead of ROUND() as it reduces the possibility of having either 1 or 6 by almost half that of having other numbers.
this is such a good thing to learn, helps me a lot in my future simulations.
Btw, the actual graphs I have shown were plotted based on randbetween() and not from rand()*6, so they still hold good.
Updating the post to include your comments as it helps everyone to know this.
By the way, the distribution is not a Gaussian distribution, as Karl points out. However, when you add the simulations of many dice together (i.e., ten throws), the overall results will approximate a Gaussian distribution. If my feeble memory serves me, this is the Central Limit Theorem.
@Jon, that is right, you have to nearly throw infinite number of dice and add their face counts to get a perfect bell curve or Gaussian distribution, but as the central limit theorem suggests, our curve should roughly look like a bell curve... 🙂
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I'm afraid to say that this is a badly stated and ambiguous post, which is likely to cause errors and misunderstanding.
Aside from the initial use of round() instead of int(),.. (you've since corrected), you made several crucial mistakes by not accurately and unambiguously stating the details.
Firstly, you said:
"this little function generates a random fraction between 0 and 1"
Correctly stated this should be:
"this little function generates a random fraction F where 0 <= F < 1".
Secondly, I guess because you were a little fuzzy about the exact range of values returned by rand(), you have then been just as ambiguous in stating:
"I usually write int(rand()*12)+1 if I need a random number between 0 to 12".
(that implies 13 integers, not 12)
Your formula, does not return 13 integers between 0 to 12.
It returns 12 integers between 1 and 12 (inclusive).
-- As rand() returns a random fraction F where 0 <= F < 1, you can obviously can only get integers between 1 and 12 (inclusive) from your formula as stated above, but clearly not zero.
If you had said either:
"I usually write int(rand()*12) if I need a random number between 0 to 11 (inclusive)",
or:
"I usually write int(rand()*12)+1 if I need a random number between 1 to 12 (inclusive)"
then you would have been correct.
Unfortunately, you FAIL! -- repeat 5th grade please!
Your Fifth Grade Maths Teacher
Idk if I'm on the right forum for this or how soon one can reply, but I'm working on a test using Excel and I have a table set up to get all my answers from BUT I need to generate 10,000 answers from this one table. Every time, I try to do this I get 10,000 duplicate answers. I know there has to be some simple command I have left out or not used at all, any help would be extremely helpful! (And I already have the dice figured out lol)
Roll 4Dice with 20Sides (4D20) if the total < 20 add the sum of a rerolled 2D20. What is the average total over 10,000 turns? (Short and sweet)
Like I said when I try to simulate 10,000turns I just get "67" 10,000times -_- help please! 😀
@Justin
This is a good example to use for basic simulation
have a look at the file I have posted at:
https://rapidshare.com/files/1257689536/4_Dice.xlsx
It uses a variable size dice which you set
Has 4 Dice
Throws them 10,000 times
If Total per roll < 20 uses the sum of 2 extra dice Adds up the scores Averages the results You can read more about how it was constructed by reading this post: http://chandoo.org/wp/2010/05/06/data-tables-monte-carlo-simulations-in-excel-a-comprehensive-guide/
Oh derp, i fell for this trap too, thinking i was makeing a good dice roll simulation.. instead of just got an average of everything 😛
Noteably This dice trow simulate page is kinda important, as most roleplay dice games were hard.. i mean, a crit failure or crit hit (rolling double 1's or double 6's) in a a game for example dungeons and dragons, if you dont do the roll each induvidual dice, then theres a higher chance of scoreing a crit hit or a crit failure on attacking..
I've been working on this for awhile. So here's a few issues I've come across and solved.
#1. round() does work, but you add 0.5 as the constant, not 1.
trunc() and int() give you the same distributions as round() when you use the constant 1, so among the three functions they are all equally fair as long as you remember what you're doing when you use one rather than the other. I've proven it with a rough mathematical proof -- I say rough only because I'm not a proper mathematician.
In short, depending on the function (s is the number of sides, and R stands in for RAND() ):
round(f), where f = sR + 0.5
trunc(f), where f = sR + 1
int(f), where f = sR + 1
will all give you the same distribution, meaning that between the three functions they are fair and none favors something more than the others. However...
#2. None of the above gets you around the uneven distribution of possible outcomes of primes not found in the factorization of the base being used (base-10, since we're using decimal; and the prime factorization of 10 is 2 and 5).
With a 10-sided die, where your equation would be
=ROUND(6*RAND()+0.5)
Your distribution of possible values is even across all ten possibilities.
However, if you use the most basic die, a 6-sided die, the distributions favor some rolls over others. Let's assume your random number can only generate down to the thousandths (0.000 ? R ? 0.999). The distribution of possible outcomes of your function are:
1: 167
2: 167
3: 166
4: 167
5: 167
6: 166
So 4 and 6 are always under-represented in the distribution by 1 less than their compatriots. This is true no matter how many decimals you allow, though the distribution gets closer and closer to equal the further towards infinite decimal places you go.
This carries over to all die whose numbers of sides do not factor down to a prime factorization of some exponential values of 2 and 5.
So, then, how can we fix this one, tiny issue in a practical manner that doesn't make our heads hurt or put unnecessary strain on the computer?
Real quick addendum to the above:
Obviously when I put the equation after the example of the 10-sided die, I meant to put a 10*RAND() instead of a 6*RAND(). Oops!
Also, where I have 0.000 ? R ? 0.999, the ?'s are supposed to be less-than-or-equal-to signs but the comments didn't like that. Oh well.
How do you keep adding up the total? I would like to have a cell which keeps adding up the total sum of the two dices, even after a new number is generated in the cells when you refresh or generate new numbers.
So, how do you simulate rolling 12 dice? Do you write int(rand()*6) 12 times?
Is there a simpler way of simulating n dice in Excel?
I've run this code in VBA
Sub generate()
Application.ScreenUpdating = False
Application.Calculation = False
Dim app, i As Long
Set app = Application.WorksheetFunction
For i = 3 To 10002
Cells(i, 3).Value = i - 2
Cells(i, 4).Value = app.RandBetween(2, 12)
Cells(i, 5).Value = app.RandBetween(1, 6) + app.RandBetween(1, 6)
Next
Application.ScreenUpdating = True
Application.Calculation = True
End Sub
But I get the same distribution for both columns 4 and 5
Why ?
@Mohammed
I would expect to get the same distribution as you have effectively used the same function