Visual Analytics Software: How to Choose the Right Platform
Compare visual analytics software features, use cases, and selection criteria to find the platform that turns complex data into clear, actionable insight.
Data Visualization on Detroit Bureau.
Every article on Detroit Bureau about Data Visualization — 60 stories covering it, newest first.
Compare visual analytics software features, use cases, and selection criteria to find the platform that turns complex data into clear, actionable insight.
A practical guide to finding and using Tableau sample datasets for dashboard practice, learning, and prototyping, with tips on built-in sources and popular alternatives.
Explore the most effective ways to visualize data, from charts and graphs to interactive dashboards, and learn when each method best communicates your findings.
Learn how to create a dashboard in Tableau from scratch, covering data connection, layout design, interactivity, and performance tips so you can build polished, functional dashb...
Dashboard visualizations transform complex datasets into clear, interactive views that help teams monitor KPIs, spot trends, and make faster decisions. Explore chart types, desi...
Log charts reveal exponential patterns, percentage changes, and wide-ranging data that linear scales hide. This guide covers when to use them, how to read them, and common pitfa...
Learn how infographic emails boost engagement, simplify complex data, and drive clicks. A practical guide to design, format, and sending infographic-rich email campaigns that co...
A big data dashboard centralizes massive data streams into one view, enabling faster decisions. Learn core components, key metrics, tools, and best practices for building one th...
Learn how dashboards in Cognos work, from design best practices and data sources to sharing and performance tips for business intelligence teams.
A curated look at data visualization website examples with interactive charts, dashboards, and storytelling techniques to help you choose the right format and tools for presenti...
A practical guide to finding, cleaning, and visualizing data visualization datasets for charts, dashboards, and presentations that actually communicate insights.
A practical matplotlib tutorial python developers can follow immediately. Covers installation, line and bar plots, subplots, styling, annotations, and saving figures for reports...
A bubble heat map combines bubble chart sizing with color intensity to reveal magnitude and clusters in spatial or categorical data. Learn how it works, when to use it, and comm...
A curated list of free analytics courses covering Google Analytics, SQL, data visualization, and basic statistics — with notes on what each platform offers and how to choose the...
A data analytics graphic turns raw numbers into clear visual stories. Explore chart types, design principles, and tools that make complex data accessible and actionable.
A leader chart translates complex performance data into a simple visual hierarchy, making it easier to compare entities, track progress, and communicate findings clearly.
Finance illustrations translate complex data into clear visuals. Explore types, best practices, and tools for charts, infographics, and editorial artwork that improve financial...
A practical guide to labeling points in a scatter plot, covering direct labels, callout lines, overlap reduction, and formatting choices that keep charts readable.
A practical guide to building KPI dashboards that show what matters. Covers metric selection, design principles, tools, and common pitfalls to avoid.
Analytic dashboards centralize performance data into visual formats that support faster decisions. Explore core components, design principles, and common use cases.
A figure bank is a library of pre-designed charts, icons, and financial illustrations. Learn what a figure bank includes, where to find one, and how designers and analysts use it.
Compare the leading open source Tableau alternatives on ease of use, data size limits, dashboard sharing, and community support so you can pick the right tool for self-service a...
Explore how economic infographics simplify complex data, the principles of effective design, and the best tools for creating compelling financial visuals.
A practical look at the example line graph — what it shows, when to use it, and how to read the trends, axes, and data points clearly.
A practical look at JavaScript visualization libraries, chart types, rendering approaches, and performance trade-offs for building interactive data graphics on the web.
A stacking chart layers data segments to show parts of a whole over time or categories. Learn the types, best uses, and common pitfalls.
Learn how to create, interpret, and use clusters in Tableau to group related data points, uncover hidden patterns, and make visualizations more insightful. Covers the algorithm...
A practical walkthrough for building a dashboard in Python, covering library choices, layout patterns, data pipelines, and deployment options you can use today.
Cognos is IBM's business intelligence and analytics software. This guide explains what it does, its core products, and who uses it.
ClearStory Data is a business intelligence and data storytelling platform that helps teams explore data, build interactive narratives, and share insights without heavy coding.
Data vision is the practice of using visual analytics, dashboards, and storytelling to make complex datasets actionable. This guide covers tools, principles, and real-world appl...
A practical look at metrics dashboards, the key components that make them useful, and how to choose and design one that turns data into clear action.
A practical overview of the most common business intelligence tools — from dashboards and ETL platforms to visualization and reporting software — and how teams choose the right...
A practical collection of data viz ideas for dashboards, reports, and presentations, with guidance on choosing the right chart type and avoiding common design pitfalls.
A clear breakdown of the V chart format, when to use it, and how it differs from other data visualizations for comparing categories and values.
A practical guide to step charts, their structure, and the data scenarios where they outperform line and bar charts for clarity and accuracy.