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Diving into Superset: A Comprehensive Guide to Data Visualization and Exploration

January 12, 2023

Superset is a modern and cost-effective tool for data analysis. It provides users with easy-to-use features that allow them to explore their data. 

From interactive dashboards for filtering and grouping data to performing ad-hoc analysis, Superset offers a wide range of features that make it easy for anyone to explore and understand their data. It supports multiple types of data sources, such as SQL databases and big data platforms like Hadoop and Druid. It also provides a variety of visualization options including bar and pie charts, line graphs, and maps. 

Whether you're a business analyst or a data scientist, Superset can help you gain valuable insights from your data. In this blog, we will show you how to get started with Superset, the tool that is rapidly gaining popularity among data scientists, and how Shakudo can help you unlock its capabilities.

data visualization tools on superset

What is Superset? As an open-source tool for data visualization and exploration, Superset is designed to be easy to use and customizable. You can connect it to any database, create custom dashboards, and share your results with your team or organization. It’s also one of dozens of open-source tools integrated with Shakudo. Superset with Shakudo comes preconfigured with the database you'd like to connect to, so you can go straight into creating your dashboards. To be able to quickly start using Superset’s powerful visualization and analysis features is a game-changer for data analysts, data scientists, and anyone who wants to make data-driven decisions without worrying about compatibility across tools.

Shakudo makes Superset easier with preconfigured databases and easier visualizations

Superset Features 

Superset is built on top of the popular Python web framework, Flask. It also integrates seamlessly with a wide range of data sources, including SQL databases and big data technologies like Spark. These features allow you to easily explore and visualize your data, have access to several chart types and customization options, and create interactive dashboards that allow you to visualize your data in real-time. 

Screenshot of creating interactive dashboards in superset on Shakudo

This tool also offers a range of advanced features, such as support for SQL Lab. It allows users to write and execute custom SQL queries against their data, and opens up a rich set of customization options for charts, such as dashboards. It also supports a wide range of visualizations, including bar charts, line graphs, pie charts, and maps. 

Screenshot of executing SQL queries on Superset

Since Superset is open sourced, it offers a cost-efficient yet highly robust alternative to other common visualization tools like Tableau and QuickSight. Beyond visualization tools, it has a growing ecosystem of third-party plugins and integrations, which extend its functionality even further. If you want, you can use plugins to integrate Superset with some popular data sources like Google BigQuery and Salesforce or add support for new chart types. Who is Superset for? Superset is suitable for a wide range of users, from business analysts to data scientists. Its user-friendly interface and customizable features make it easy for anyone to explore and understand their data. 

Superset is great for

Whether you're looking to gain insights into sales trends, analyze customer behavior, or understand the performance of your business, Superset can help you get the answers you need. It's also a valuable tool for data scientists who are working with complex datasets and need a platform that can handle large amounts of data. Getting Started Now that you know what Superset is and what you can do with it, let's take a look at how you can get started with it. 

By opening Superset using Shakudo, your data is already loaded into the database, and you can start exploring it right away. Since the dataset is ready, you can start configuring the column properties to determine how the column should be treated in the Explore workflow. Simply go to Datasets on the top right corner, and click on the edit button beside your chosen dataset. 

To start visualizing your data, first create a dashboard and start adding some visualizations charts. Click the "+" button to add a new dashboard on the "Dashboards" tab in the top menu. You can then give your dashboard a name and add some visualizations. 

If you’d like to add a new chart, click on the "Chart" tab in the top menu, then click the "+" button to add a new chart. You can then select the type of visualization you want to use (e.g., bar chart, line graph, pie chart, etc.) and choose the data source and columns that you want to visualize. 

In the following screenshot, we crafted a Bar Chart to visualize the number of flights per origin airport just by clicking options in drop-down menus. 

When is Superset Valuable? One valuable use case for Superset is analyzing sales trends. For example, seeing how your sales teams are performing over time. To do this, you can create a line graph visualization that shows your sales team’s activity data over time and use filters to narrow down the data to specific time periods or regions.

If you’re running a business, Superset can help you understand your business performance. For example, how your revenue and expenses are changing over time, or how your business is performing compared to industry benchmarks. 

Another great use case for Superset is analyzing customer behavior. To know which products are the most popular among your customers, or how customer satisfaction scores vary by location. On Superset, you can create a bar chart visualization that shows the data that you are interested in.  Thank you! We hope this blog post has given you a comprehensive overview of Superset and how it can be used. If you're interested in learning more about Superset, be sure to check out its documentation and tutorials, and if you’d like to know more about using Superset on Shakudo, click this link here to create a free account and start using it right now or book a demo with one of our data experts.  

Happy data exploring! 

Sabrina Aquino

Sabrina is a creative Software Developer who has managed to create a huge community by sharing her personal experiences with technologies and products. A great problem solver, an above average Age of Empires II player and a mediocre Linux user. Sabrina is currently an undergraduate in Computer Engineering at UFRN (Federal University of Rio Grande do Norte).

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