Scalable Infrastructure: Hevo has in-built integrations for 100 + sources that can help you scale your data infrastructure as required.100% Complete & Accurate Data Transfer: Hevo’s robust infrastructure ensures reliable data transfer with zero data loss.Real-time Data Transfer: Hevo provides real-time data migration, so you can have analysis-ready data always.Completely Automated: The Hevo platform can be set up in just a few minutes and requires minimal maintenance.It allows you to focus on key business needs and perform insightful analysis using various tools such as Google Data Studio.Ĭheck out some of the cool features of Hevo: It provides a consistent & reliable solution to manage data in real-time and always have analysis-ready data in your desired destination. Its fault-tolerant architecture ensures that the data is handled in a secure, consistent manner with zero data loss. Hevo is fully-managed and completely automates the process of not only loading data from your desired source but also enriching the data and transforming it into an analysis-ready form without having to write a single line of code. Hevo Data, a No-code Data Pipeline, helps to transfer data from 100+ sources to your desired data warehouse/ destination and visualize it in a BI tool. Users cannot break down dimensions based on how they are aggregated. Users can break down metrics based on how they are aggregated. Percentage, Duration, Amount of Currency, Numbersīoolean Choice, Text, Geographic Coordinates, URL, Date/Time Here’s a table of Google Data Studio Dimensions and Metrics to help drive the point home: Differentiating Factor You can either leverage the “sum” as the yardstick, a count, an average, a count distinct, or the maximum/minimum values for the same. A Dimension, on the other hand, could be a boolean choice, text, geographic coordinates, time, date, or even an URL.Īpart from these Google Data Studio Dimensions and Metrics differences, metrics can further be dissected on the basis of how you collate them. A Metric in Google Data Studio usually consists of numbers, amount of currencies, percentages, or durations. Both Dimensions and Metrics have types that describe how they can be leveraged to improve efficiency. In Google Data Studio, dimensions are always shown in green while metrics are depicted using the color blue. Within Google Data Studio, you can easily differentiate between Dimensions and Metrics. ‘Date’ is a dimension that can be associated with Metrics like number of visits to the website, number of new subscribers, view time, bounce rate, etc. ‘Country’ is a dimension that can be associated with many Metrics such as population, literacy rate, number of internet users, gender ratio, per capita income, etc. It can be used to measure the dimension in some way. What is Google Data Studio MetricsĪ Metric is a number. Whenever you add a dimension to a chart in Google Data Studio, the data in the chart gets grouped by that dimension. They describe the data that you are trying to analyse. You can categorise your data on Dimensions, such as gender, country, date, age group, medium, device category, etc. (And Metrics are known as aggregated columns.). Dimensions in Google Data Studioĭimensions are also known as un-aggregated columns.
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How to Edit Google Data Studio Dimensions and Metrics?.
You will also learn how you can add fields to a chart, create new fields, edit fields, and create informative reports. In this blog, you will learn what Google Data Studio Dimensions and Metrics are, how they differ, how they interact with each other, and what properties they possess.
Based on their functions, fields in Google Data Studio are classified into two types namely, dimensions and reports. Depending on the type of data, they serve different purposes in the report. ‘Sales Amount’ contains currency and ‘Date’ contains dates. Fields such as ‘Sales Quantity’ contain numerical values. A data source may have hundreds of fields containing different types of data. You can generate different types of charts using its drag-and-drop functionality & easy-to-use interface.
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Google’s free visualization tool Data Studio allows you to import data from several sources.
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