Note: you won’t be able to add another saved question to multi-series visualizations made in this fashion. Created At by month and Product Category). All you need to do is summarize your data (e.g., count the rows) and group that data into multiple groups (e.g. You can also create a multi-series chart by composing a custom question in the notebook editor. Metabase will automatically display a multi-series line chart visualization of how each referrer has performed for us. Be sure to click the plus button to the right of your selection, so Metabase knows to add the grouping otherwise, Metabase will switch to that grouping. To create the multi-series chart, select the People table, click on the Summarize button in the upper right, then add Source and Created At as groupings (the count of rows metric that we want is selected by default). In the Sample Database that ships with Metabase, you would group by the Source and Created At columns of the People table. If you’re creating a new question, you can view the results as a multi-series visualization by summarizing your data and grouping it into two groups.Īs an example, we might want to see which website or service is referring the most people to our website. For example, you could look at revenue over time and costs over time together.Īsk a question that involves multiple dimensions Example: the count of users by region over time.Ĭombine two saved questions that share a common dimension (like time) on a dashboard. There are two main ways to visualize data side by side:Īsk a question that involves multiple dimensions with the Simple or Custom query builders (or in SQL, if you’re fancy). Orders per day from a few different product lines.Average order price this month and user signups for that month.Here are just a few examples of data that is better together than apart. One of the best ways to add context and clarity when communicating with data is to show data side-by-side with other data. It is written in Clojure and offers multiple options such as Docker image, cloud images, Mac application, and a jar file, which are specially designed for particular use cases./docs/latest/users-guide/09-multi-series-chartingĭata in isolation is rarely all that useful. Running Metabase on a server will enable others to log into accounts and share reports & dashboards. Niles partners, one of the IT Solutions provider is launching a product which will configure Metabase to a wide variety of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering) and graphical techniques which is embedded pre-configured tool with Ubuntu 18.04 and ready-to-launch AMI on Azure cloud that contains Hadoop, Hbase and SQL interface. Provide Application-wide Reports and dashboards Power the in-app analytics without writing any SQL Metabase is primarily used for analyzing existing data on a daily basis by swiftly fetching answers to the most common queries without dealing with complex workflows. Using a simple graphical interface, anyone from the company can easily create dashboards, set up nightly emails, or ask questions on their own. Metabase offers a simpler, faster way to power in-application analytics. Metabase, a business intelligence and data visualization tool with SQL capabilities is now available on Azure Marketplace and is powered by Niles partners.
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