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Category Data visualization

·Data visualization

Good data chart examples in this Kleiner Perkins presentation

This Kleiner Perkins presentation introducing their iFund makes good use of data charts to prove points.

Kleiner Perkins iFund Presentation at iPhoneDevCamp 3

·Data visualization

How can we make that growth look more impressive?

“Can we make that look a bit more impressive?”

I get that question a lot. An obvious trick with column/line charts is to cut the axis. I think that is cheating the audience, putting at risk the trust in the content of all your other slides in the presentation.

What you can do is play with the aspect ratio of your chart. As an example see the make-over of a Skype chart I used earlier. People in the comments were suggesting that the new version actually looks less impressive than the original. Maybe squeezing the chart horizontally while keeping the vertical size the same fixes that.

·Data visualization

Confident graph lines

The standard chart templates in Excel and PowerPoint create fragile, thin graph lines. No one can see them. Right-click the line and make it bold and fat and it will stand out.

·Data visualization

Explaining the revenue hockey stick in funding presentations

One of the last pages in every venture capitalist funding presentation is the “hockey stick” of revenues and profits shooting through the roof. VCs expect a bit of optimism from a startup, but at the same time want to do a reality check on these numbers.

I often use a company snapshot, a tree of the key factors that add up/multiply to the projected revenue figure. Make sure the factors are real things you can touch: people, visits, etc.  CORRECTION: Also make sure the tree adds up and calculates through, something that cannot be said about the example below.

·Animations

"Cover ups" as an alternative to build ups

Sometimes you cannot avoid building up a busy data slide to take your audience through it step by step. In case of data-driven charts, it is tricky to create 3 independent graphs that are nicely aligned. I tend to create one big chart and use a white box to cover part of the information. Gradually I unveil more information by taking the white boxes off, instead of creating animations with new elements popping up.

B.t.w. for those interested: the data above is the quarterly overview of VC investments in Israel, compiled in PwC’s Money Tree report for Q4 2008.

·Data visualization

Chart make-over example, sorry Skype

I am preparing a speech and needed a case example for a chart make over. Sorry to be picking on Skype again… A great color scheme plus a chart I discussed before. I have nothing against Skype, this is just for educational purposes.

Here is a list of changes:

  • Reduce the template to a logo at the bottom right of the page, eliminating all other distracting elements. I really like white space.
  • Rigorous application of the corporate colors and fonts.
  • Simple column chart without 3D
  • No need for a vertical axis if you use data labels
  • Re-wrote the headline
  • Replaced the yellow star to give the text more connection to the numbers (still it would have been better to show the actual profit numbers)
  • Smiling, I made a typo in the revenues of Q1 2008

The idea is to make the data as calm as possible. Also note that through consistent use of corporate colors there is no need for additional “house style” graphical elements on the pace. You can see from a mile’s distance that this is a Skype chart.

·Data visualization

How to do a McKinsey-style source of change chart

Some numbers today. The source of change is a tool to explain the delta between two numbers in terms of its components. Assume you need to get the story below across in a crisp presentation.

The first thing is to understand what’s going on. Get some more information until you have the full picture in a clear table.

Now let’s do the analysis. This is the tricky part, the text below does not do a good job in explaining this, you can click the spreadsheet for a bigger and more visual explanation.

  1. Calculate the profit in the “before” scenario using a formula that just uses inputs
  2. Now stretch each of the variables that change to their “after” value, jot down the value, and return the value back to its original number
  3. Repeat for all the variables and see what delta in profit you managed to explain.
  4. Calculate what is left to explain, and allocate that to the individual values.

Finally put the values in a

nice waterfall

chart.

·Data visualization

Visualizing 6 million Holocaust victims

It is Holocaust memorial day today in Israel. Sometimes it has hard to graps/visualize big numbers. I tried below. Let’s not forget.

·Data visualization

Basic equations to visualize complex dependencies

A question like “What happened to sales last year?” sometimes requires a complex answer. “Well, it is a bit complicated: volume went down, but then prices went up, but as a result sales were up”. A simplified mathematical equation can help you visualize this.

Sometime in the near future I will post here how to do a proper “sources of change” analysis.

·Data visualization

Summary chart with 3 completely different data ranges

Sometimes you want to show 3 data sets in one chart with very different data ranges, for example:

  • 1,000s of customers
  • $ sticker price per unit
  • Number of products bought per customer

One solution:

  • Set the column of the first data point of each series to 100
  • Calculate the 2nd value relative to the 100
  • Manually paste data labels with the correct factors

The chart below gives an example:

  1. The first chart contains the unadjusted data
  2. The second chart shows the adjusted version
  3. The third charts shows the values I have entered in the PPT columns

Click on the example image below for a larger image.