Data Visualization & Dashboard Design

Explore fundamentals of data visualization and dashboard design for business applications, focusing on storytelling, objectivity, and creating standalone dashboards that enable data-driven decisions.

Identify core business questions to guide dashboard design, analyze data sources, prototype for utility and aesthetics, and plan change management to drive adoption and actionable insights.

Learn when to use line charts and bar charts for time-series and discrete data, balancing chart clutter, readability, and multi-variable comparisons.

Explore when to use histograms or scatter plots to visualize one- and two-dimensional distributions, with bucket definitions, normalization, and outlier effects, plus alternatives like box plots.

Explore scatterplots and bubble charts to reveal relationships, using marker size for a third dimension, while noting that causality is suggested, not proven, and place independent variable on the x-axis.

Compare pie charts for composition, stacked bar charts, tree maps, waterfalls, and net promoter score analyses to reveal drivers behind dashboard metrics.

Explore how context shapes interpretation, reduces chart clutter, and guides color choices to maximize contrast, while enabling drilldown, tooltips, and interactive toggles for clean dashboards.

Explore four sections of data visualization and compare basic versus advanced options for business insights. Emphasize defining business questions, needs, and change management to ensure dashboards and reports are used.