As mentioned earlier, I have met Garr Reynolds of presentation zen fame in Malmo, Sweden last Friday. What was to be a quick 15 minute interview became a 2 hour lengthy discussion on presentations, charting, excel, data, Japanese culture and of course our pointy haired dilbert blog. Garr liked my site alot that he tweeted about it immediately.
I am only posting portions of the interview here.
Q: Powerpoint and presentations are great way to communicate. But most of the time we deal with raw data and numbers. How to present such complex and diverse information without cluttering?
A: There are two types of people (1) the quantitative folks and (2) the design folks. For too long we had just these 2 types of people, one who can program, create great stuff and the other who are really good at designing fantastic things. But now, more than ever, the need is to combine both skills in one person.
One of things that I observe in my university MBA students (and most others too) is that, when it comes to presenting data (either through charts or tables), people go too fast. They just show one piece of information after another without spending time to discuss. Data doesn’t mean anything until we choose to talk about it.
I always recommend my students to have a lengthy Q&A where the facts are dissected and stories are brought out. We should always approach the charts (and data) with “yes this is what it is, but what does it mean? Anyone can make a chart, only intelligent can poke it”
Q: What are the raw (formatting) tips you can give to my readers? People always wonder about things like what color should I use, should I use grid lines or labels? Should I use several colors or shades of one color? Which font should I use?
A: Those are lot of questions [chuckles…]
My mantra is “maximum effect with minimum means”. That is what Tufte or Stephen Few says.
So, grid lines, often we don’t need those as they are implied. If you use them, I say use a very light color.
As far as choosing color, if it is a bright building or room, then a white background works. If it is a darker room we can use a black background.
Colors, as few as possible. These are the common mistakes that I see. I think using different shades of same color works well. You need to realize that lot of people are color blind, so it is safer to use shades of blue or gray than using lot of colors. There are really no hard and fast rules for colors. Don’t just spend too much time on the graph. Yes, it should be aesthetically pleasing, but the more important thing is you and what you want to say.
Q: Your opinion on dealing with situations where there is lot of data?
A: As you can see, most of my charts are very simple. But often we need to deal with lots of data. I am big fan of tables (as long as they are not too lengthy). I also recommend using handouts. If you have lots of data, it is better to take a printout or send the files so your audience can read the data, understand what it means and then you can have a discussion with them.
I recommend reading this article on NY Times about Steve Ballmer’s new meeting style where he says (quote inserted by Chandoo)
[Ballmer] … most meetings nowadays, you send me the materials and I read them in advance. And I can come in and say: “I’ve got the following four questions. Please don’t present the deck.” That lets us go, whether they’ve organized it that way or not, to the recommendation. And if I have questions about the long and winding road and the data and the supporting evidence, I can ask them. But it gives us greater focus.
Thank you Garr for the wonderful interview.
(that is me with Garr on the right side, excuse the poor quality of the image, but we are using webcam on my Toshiba Satellite A300)
But, the most interesting part of this is, actually meeting him and discussing openly about charting, visualizations. We discussed alot about the kind of mistakes people make when creating charts (he *loved* the article 6 charts you will see in hell and the new chart doctor series we announced). We discussed about his new book – presentation zen design.
There is another exciting thing that I am not announcing now, but you will soon know.
Read our earlier interviews with John Walkenbach | Charley Kyd
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.