This is information related to where the user gets their data from. The user will have to specify the kind of data source that their chart is using.Users can follow the given steps so they will be able to learn how to create their own charts: The user has the option of creating separate dashboards for separate topics according to their needs and wishes. By combining the different views of data that are available, much richer insight into them can be obtained by the user. Users can build their own dashboard where they can display the different charts that they have. This will encourage those around them to try out different things with their data and can also support them in case they need help. Data analysis can be made so much easier by doing this and users can share their work with their colleagues if they wish to. By doing this, they can identify the various trends and patterns that are available in them. They will now be able to transform their data into different kinds of visualizations according to their wish. Monitoring PostgreSQL with Navicat Monitor 3.This amazing tool will help users understand their data extremely well.Trace Queries on your PostgreSQL Instances with Navicat Monitor 3.Viewing PostgreSQL Instance Details in Navicat Monitor 3.A Quick Guide to Naming Conventions in SQL - Part 2.A Quick Guide to Naming Conventions in SQL - Part 3.Selecting Distinct Values From a Relational Database.Implement Audit Trail Logging Using Triggers.Multi-Version Concurrency Control in PostgreSQL.A Guide to MySQL Foreign Key Constraints.Navicat Wins a DBTA Readers' Choice Award!.Joining Database Tables on Non-Foreign Key Fields.In the meantime, feel free to download it and give it a whirl! We'll check out some other new features and improvements next week. In today's blog we explored Navicat 15's new Data Visualization feature. In Navicat, a Dashboard is where you can group your charts along with images, shapes, and text to create slideshow presentations for targeted groups, such as developers, data analysts, and management. A data dashboard is the most efficient way to track multiple data sources because it provides a central location for businesses to monitor and analyze performance. A dashboard displays all this data in the form of tables, line charts, bar charts and gauges. In this age of Big Data, data dashboards are indispensable to aggregate huge amounts of data from disparate sources into a cohesive and digestible whole. Here's an example that I created in about five minutes! These include (just to name a few):Ĭharts are completely customizable in terms of fonts, text placement, colors, opacity, formatting, filtering, and many more. That's why Navicat 15 includes all of the major chart types that you need to explore your data. The main tool of data visualization is charts. In Archive mode, Navicat takes a snapshot of the current data and bases charts on it. Navicat will auto-detect relationships between database objects.ĭata may be live or based on an archive. Once a Data Source's objects are available, you can drag database objects such as tables, views and queries into the main window and fetch data from them. In Navicat, it's where you'll find all of your Data Sources, Charts, and Dashboards (more on those in a bit).Ī Data Source can be based on any valid database connection or even on multiple connections. In a graphical interface, a workspace is a grouping of related objects to help manage them in one place. Whereas typical charts are based on a snapshot of data, data visualization can be applied to live data and refreshed at any time. From there, clicking on New Workspace opens the Charts Workspace window, which is all of the action happens! In Navicat, data visualizations are organized in a hierarchy of Workspace, Data Sources, and Charts.Ĭlicking the Charts button displays the Workspace buttons in the Objects toolbar. Data visualization tools provide an accessible way to see and understand trends, outliers, and other patterns in our data. Work spaces, Data Sources, and Chartsĭata visualization is the graphical representation of information and data using visual components like charts, graphs, and maps. In today's blog we'll learn how the new Data Visualization feature helps us turn our database into visuals that provide valuable insights into our data through a wide variety of charts and graphs. It also adds Data Visualization, Dark Mode and native Linux support. Currently, version 15 packs a wallop of new features and improvements, most notably in data transfers, the SQL Builder, and modeling. November 25 is the official launching date for Navicat Premium 15.
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