In the confirmation dialog box, click View.For Description, type The number of times a product is viewed, added to cart, and purchased and the rates of purchases from these actions.and seamlessly integrate with tools like Splunk to create custom alerts and detailed. In the Save Report As dialog box, for Title type Comparison of Actions and Conversion Rates by Product. 1Password Business Admin Dashboard with a good morning message.Now it's time to save the chart as a report. You've made great changes to the chart to make it more readable. The label and values for the line series appear on this axis. The axis on the right side of the chart is called a second Y-Axis. Notice that the conversion rates now appear as lines in the chart. This identifies the two series that you want to overlay on to the column chart. Click inside the box again and select cartToPurchase. In this example you will overlay the conversion rates, as lines, over the actions, which will remain as columns. To separate the actions from the conversion rates, you can overly one set of values over another set of values. To fix this issue, click Format and Chart Overlay.These two types of information should be shown separately. The actions are counts of the values in specific fields. It shows that some of the columns represent actions such as Views and Purchases, and some columns represent conversion rates such as viewsToPurchases. Notice the changes to the label and values on the Y-Axis. For Title, choose Custom and type Actions.We're going to add a title and specify different number intervals on the Y-Axis. We can add multiple panels and therefore multiple reports and charts in a single dashboard. The panels on the dashboard hold charts or summarized data in an attractive way. The numbers range from 1000 to 3000 and there is no title to identify what that axis tracks. Introduction to Splunk Dashboard: A dashboard is used to represent tables or charts that are related to some business sense. Notice the change in the labels on the X-Axis. For Label Rotation select the second option, which is -45 degrees.Because there are so many products, the labels are truncated making them difficult to read. Notice that the labels on the X-Axis are truncated. The next few steps reformat the chart visualization to overlay the two data series for the conversion rates, onto the three data series for the actions. This is the same chart in the section Create a basic chart, with two additional data series, viewsToPurchases and cartToPurchases. The cartToPurchases field calculates the number of customers who added the product to their cart to the number of customers who purchased the product.The viewToPurchases field calculates the number of customers who viewed the product to the number of customers who purchased the product.These fields contain the conversion rates. The eval command is used to define two new fields. Sourcetype=access_* status=200 | stats count AS views count(eval(action="addtocart")) AS addtocart count(eval(action="purchase")) AS purchases by productName | eval viewsToPurchases=(purchases/views)*100 | eval cartToPurchases=(purchases/addtocart)*100 | table productName views addtocart purchases viewsToPurchases cartToPurchases | rename productName AS "Product Name", views AS "Views", addtocart as "Adds To Cart", purchases AS "Purchases" Let's start by a running a search and viewing the results as a chart. If you do not configure the field lookups, the searches in this section will not produce the correct results. This example uses the productName field from the Enabling field lookups section of this tutorial. For example, how often someone who viewed a product also added the product to their cart. The eval command is used to calculate the conversion rates for those actions. You will use the stats command to count the user actions. The overlay chart will show Actions such as Adds To Cart and Purchases on one type of chart and the Conversion Rates, such as Views To Purchases, in another type of chart. In this example, you create a chart that overlays two data series as lines over three data series as columns. □Note: If you want, you can also contribute by sharing your Docker Compose or Docker CLI on mariushosting.Create an overlay chart and explore visualization options □ View Docker Compose and Docker CLI Shared by Contributors □ Latest Docker Guides Update: August 16, 2023 If you experience issues with the guides, check out my article Common Docker Issues and Fixes. The guides work perfectly if all the steps are correctly followed. Don’t forget to Support My Work □ Docker articles are updated constantly (daily). An entire collection of Docker guides for your Synology NAS from mariushosting that work perfectly with DSM 7.2-64570 Update 3, DSM 7.1.1-42962 Update 6, DSM 7.1-42661 Update 4, DSM 7.0.1-42218 Update 6 and DSM 6.2.4 Update 7.
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