18 February 2019
A Table is a visualisation of data in a tabular form. It’s the default visualisation type when you first view a data set. A Table is a basic and transparent way to present data to your audience.
Tables show the data story plainly and allow the user to dig into the figures or values at a granular level. When you have data that needs to be read, rather than understood through a visual context only or data that requires a high degree of attention, tables are the best solution.
They’re particularly effective for identifying the underlying cause in data patterns, like drilling down into healthcare data to analyse the cause of an illness. And, for this function, the Table format is often more effective than a chart.
Choosing the right visualisation for your data sets is important. Charts are often favoured when a Table may suit the narrative better since charts rely on design elements to carry the message across. If your data has numerous dimensions and values, a Table can help your audience evaluate the data quicker than if displayed in a chart.
Dataviz experts may consider the Table a transition tool between raw data and the final product, a detailed data visualisation. But it’s still an effective means to review precise, individual values or view summary information and detailed information in one visualisation, which can be tricky to create in charts.
Healthcare institutes rely on Tables to manage and organise information like lists of patient details or to keep track of their vital supplies.
Finance executives utilise Tables for simple tasks like profit-and-loss statements or more complex functions like financial modelling.
In Retail, Tables help retail chains track which stores are generating the greatest revenue or to manage inventory levels.
Manufacturing companies require Tables to help them manage their supply chain and staffing effectively.
High Tech businesses track service tickets and SLA features with data Tables.
Public Sector organisations manage their finances and document management in a tabular form. Schools use Tables for their detailed student databases.
Energy and Utilities executives track total reported energy usage per company or create Tables to review new revenue streams.
Communications companies tabulate their product and services offerings and distributor lists.
Tables in Life Sciences institutes are an important tool for managing their extensive research data.
And in the Consumer Products industry, Tables help companies manage information on customers and products.
The Vizlib Table is a versatile Table extension for Qlik Sense. You can tailor the extension to your design needs and transform complex data into digestible visuals.
How do the Vizlib Table features help you get started quickly?
Viztips: The power of visual analytics on hover
Viztips is a next-level capability for Vizlib Library that enables you to insert customised, dynamic charts in your tooltips. Include Viztips with Vizlib Table to add additional insights without adding clutter to your visualisation. Your end-users can get granular level data on hover, without being overwhelmed by too much data. Since Viztips consists of two components; your main Vizlib chart and a Vizlib KPI Designer Layer, you can include up to 10 custom layers in your Viztip design!
Data scientists may consider Tables a basic visualisation resource, yet its strength lies in its simple, transparent communication. The Vizlib Table is a fundamental tool for elevating your data story and is ready to take on the world!
You can learn more about the Vizlib Table here. Here are a few examples of the Vizlib Table.
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