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.
12 Responses to “29 Excel Formula Tips for all Occasions [and proof that PHD readers truly rock]”
Some great contributions here.
Gotta love the Friday 13th formula 😀
Great tips from you all! Thanks a lot for sharing! bsamson, particularly you helped me on a terribly annoying task. 🙂
(BTW, Chandoo, it's not exactly "Find if a range is normally distributed" what my suggestion does. It checks if two proportions are statistically different. I probably gave you a bad explanation on twitter, but it'd be probably better if you fix it here... 🙂 )
Great compilation Chandoo
For the "Clean your text before you lookup"
=VLOOKUP(CLEAN(TRIM(E20)),F5:G18,2,0)
I would like to share a method to convert a number-stored-as-text before you lookup:
=VLOOKUP(E20+0,F5:G18,2,0)
@Peder, yeah, I loved that formula
@Aires: Sorry, I misunderstood your formula. Corrected the heading now.
@John.. that is a cool tip.
Hey Chandoo,
That p-value formula is really great for a statistics person like me.
What a p-value essentially is, is the probability that the results obtained from a statistical test aren't valid. So for example, if my p value is .05, there's a 5% probability that my results are wrong.
You can play with this if you install the Data Analysis Toolpak (which will perform some statistical tests for you AND provide the P Value.)
Let's say for example I've got two weeks of data (separated into columns) with the number of hours worked per day. I want to find out if the total number of hours I worked in week two were really all the different than week one.
Week1 Week2
10 11
12 9
9 10
7 8
5 8
Go to Data > Data Analysis > T-Test Assuming Unequal Variances > OK
In the Variable 1 Box, select the range of data for week 1.
In the Variable 2 Box, select the range of data for week 2.
Check "Labels"
In the Alpha box, select a value (in percentage terms) for how tolerant you are of error.
.05 is the general standard; that is to say I am willing to accept a 95% level of confidence that my result is accuarate.
Select a range output.
Excel calculates a number of results: Average (mean) for each week's data, etc.
You'll notice however that there are two P Values; one-tail and two-tail. (one tail tests are for > or .05), the number of hours I worked in week two is statistically equivalent to the number of hours I worked in week one.
So here’s a way you might want to use this. You put up a new entry on your blog. You think it’s the best entry ever! So you pull your webstats for this week and compare it to last week. You gather data for each week on the length of time a visitor spends on your website. The question you’re trying to prove statistically is whether there’s an average increase in the amount of time spent on your website this week as compared to last week (as a result of your fancy new blog post). You can run the same statistical test I illustrated above to find out. Incidentally, it matters very little to the stat test whether the quantity of visitors differs or not.
Anyhow, the Data Analysis toolpack doesn't perform a lot of stat tests that folks like me would like to have access to. In those cases I have to either use different software, or write some very complicated mathematical formulas. Having this p-value formula makes my life a LOT easier!
Thanks!
Eric~
Fantastic stuf..One line explanation is cool.
Thanks to all the contributors
OS
Take FirstName, MI, LastName in access (you can fix it to work in excel) capitalize first letter of each and lowercase the rest and add ". " if MI exists then same for last name:
Full Name: Format(Left([FirstName],1),">") & Format(Right([FirstName]),Len([FirstName])-1),"") & ". ","") & Format(Left([LastName],1),">") & Format(Right([LastName],Len([LastName])-1),"<")
I teach excel, access, etc etc for a living and i have my access students build this formula one step at a time from the inside out to show how formulas can be made even if it looks complicated. Yes I know I could just do IsNull([MI]) and reverse the order in the Iif() function but the point here is to nest as many functions as possible one by one (also I illustrate how it will fail without the Not() as it is)
Extract the month from a date
The easiest formula for this is =MONTH(a1)
It will return a 1 for January, 2 for February etc.
if in a column we write the value of total person for eg. 10 if we spent 1.33 paise each person then how we get total amount in next column and the result will in round form plzzzzz solve my problem sir................... thank u
@Anjali
If the value 10 is in B2 and 1.33 paise is in C2 the formula in D2 could be =B2*C2
If the values are a column of values you can copy the formula down by copy/paste or drag the small black handle at the bottom right corner of cell D2
kindly share with me new forumulas.
How to convert a figure like 870.70 into 870 but 871.70 into 880 using excel formula ? Please help.