Would you like to see an example for a Pareto Chart? I had that on my backlog for some time but was looking for some data which is suitable. Last week I did an analysis of my post visits and discovered I had that data right at hand. I want to share them with you in this post.
First of all: Which are the posts which reach the most readers?
- Into which value traps did you fall (or lure others)?
- Muscle and body fat? Yes – but different!
- How to manage your to dos with 6 folders (2/2)
- Goals are not values
- Have you done your Root Value Analysis? (Understanding goals)
- Pull what is valuable, do not wait for it
- Buffers. A special kind of inventory waste
- What is over-processing waste?
- What is over-production waste?
- What is waste of intellect?
- How to reduce over-production
- Avoid value traps
- What is transportation waste?
If you look at the image above, you see that with these posts I get 60% of the post hits. (Click here or on the image to get a full resolution view of it). The graph is a wonderful example for a Pareto distribution of data points.
As you can see, I sorted my posts into three classes, and built a subclass within the first one to get the top of the top:
- Class A+: 60% of the hits (13 posts)
- Class A: 80% of the hits (29 posts)
- Class B: Adding 14% more hits, adding up to about 94% (29 posts)
- Class C: Adding 4% more hits, adding up to about 98% (29 posts)
- Remainder: Adding up to 100% (13 posts, the basis of my analysis are 110 posts)
Each class except for A+ has the same number of posts but adds less hits than the better class before it in the list. Looks like when I want to expand on top attractive topics I can elaborate on just the few listed above which are in Class A+.
This is also an example for an application of Pareto application strategies. With just 12% of my posts I get 60% of the hits. I could have saved a lot of time, if I just had known in advance which posts would get the most hits 🙂
PS: “Normal” Pareto charts do not stack the items like in my example, but have an extra line in the graph to show the cumulated effects. What do you think, is this deviation from the standard good or evil?