Okay, so now we get to play around with some visualizations. Let's create a dashboard with some visualizations of our https://meh.com/ data. For now, we will limit ourselves to the native visualizations. We will start with the meh_products lookup that we have generated. Each product is listed as either New or Refurbished, so let's see how that makes a chart:
| inputlookup meh_produts | top product_condition
This will be our basic search that pulls the meh_products lookup, which is kept populated by the saved search we had written earlier. We are only interested in knowing the distribution of product conditions over the entire time range, so we will chose a pie chart from the dropdown. This gives us a pie chart like this one:
As you can see, at the time of writing this book, and with the amount of data collected, the top condition at 90.909% is New. Now, let's save this as a panel in a new dashboard. We will call the dashboard Overview. We do this by clicking on the Save...
