You’ve got noisy data.
You can see the underlying trend but there’s no obvious function in Excel (or your other tools) to help you.
We’ve developed some tools to help.
Watch the video [6:50] below and scroll down for more information.
You can see the underlying trend but there’s no obvious function in Excel (or your other tools) to help you.
We’ve developed some tools to help.
Watch the video [6:50] below and scroll down for more information.
You’re familiar with moving averages, likely used them before, but what is the right number of points to average over?
It takes a while to iterate through this and involves lots of copy and pasting in cells.
If you’ve a lot of data, Excel struggles and it takes a long time.
You also know that moving averages offset the data by the number of points you’re averaging over.
If your data is time dependant then this can create a big issue – even if you’re not always aware of it.
You may also know that moving averages are not really proper filters at all.
They don’t actually filter anything, they just smooth all the data – signal and noise – together.
You know that there are potentially better data filters but you’ve not been able to implement them easily within Excel.
If you have tried then it’s also likely taken an age to do, they’re unlikely to be dynamic and easy to change or port to other data sources.
We’ve faced these same challenges, time and again.
There is good news though. We’ve now made three tools available to help you.
These tools will enable you too:
Measured sensor data is so often noisy.
Having the ability to quickly run ‘look see’ evaluations, find features and trends is invaluable.
Perhaps Excel and other tools should have this feature baked in.
However they don’t so we’ve done it for you.
“The signal is the truth. The noise is what distracts us from the truth.”
― Nate Silver, The Signal and the Noise: Why So Many Predictions Fail - But Some Don't