From the course: Python in Excel: Data Outputs in Custom Data Visualizations and Algorithms

Unlock the full course today

Join today to access over 24,300 courses taught by industry experts.

Leveraging Excel scatter plots

Leveraging Excel scatter plots

From the course: Python in Excel: Data Outputs in Custom Data Visualizations and Algorithms

Start my 1-month free trial Buy for my team

Leveraging Excel scatter plots

“

- [Instructor] Next, let's create a visual for the predicted outcomes of the KMean clustering algorithm. Like the anomaly detection line chart we just created, in order to display the clusters separately with different colors in the visual, we need to first separate the labels into their own individual series. We ran the KMeans algorithm with two clusters, which return cluster labels of either zero or one. We'll first create a new column called "cluster zero" to say that if the result in column F has a value of zero, then it will return the high temperature value in column E, otherwise, it will return the NA Excel function. And because this cluster is one, I'm actually going to copy this one over as an example to reference cluster one. I'm going to say that if G17 equals one, then we return F17. There's a problem with their cell references here, but the good news is that it's a pretty straightforward fix to make. We'll first update our column reference for the first condition to say…

Contents