Dashboard Design: Data Visualization Principles and Tools
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# Dashboard Design: Data Visualization Principles and Tools ## 🎯 Learning Objectives - Apply data visualization best practices - Choose the right chart type for your data - Design effective dashboards for business stakeholders - Build interactive dashboards with Plotly/Streamlit ## 📖 Core Content ### 1.1 Chart Sel...
Dashboard Design: Data Visualization Principles and Tools
🎯 Learning Objectives
- Apply data visualization best practices
- Choose the right chart type for your data
- Design effective dashboards for business stakeholders
- Build interactive dashboards with Plotly/Streamlit
📖 Core Content
1.1 Chart Selection Guide
| Data Type | Best Chart | Why |
|---|---|---|
| Trend over time | Line chart | Shows direction and rate of change |
| Part of a whole | Bar chart (not pie) | Easier to compare lengths than angles |
| Distribution | Histogram, box plot | Shows spread, outliers, skew |
| Correlation | Scatter plot | Reveals relationships and clusters |
| Composition (simple) | Stacked bar | Compare parts across categories |
| Ranking | Horizontal bar | Easy to read ordered list |
Never use: 3D charts (distorts perception), pie charts with > 5 categories, rainbow color scales.
1.2 Dashboard Design Principles
- Most important metric at top-left (eye naturally starts here)
- KPI cards for key numbers (revenue, users, conversion rate)
- Consistent color coding (green = good, red = bad)
- Interactive filters (date range, segment, region)
- Less is more — one dashboard = one business question
- Annotations for unusual events (marketing campaign, outage)
1.3 Tools Comparison
| Tool | Ease of Use | Interactivity | Best For |
|---|---|---|---|
| Tableau | Medium | Excellent | Enterprise BI |
| Power BI | Easy | Good | Microsoft ecosystem |
| Plotly/Dash | Hard | Excellent | Custom web dashboards |
| Streamlit | Very easy | Good | Python ML dashboards |
| Google Data Studio | Easy | Moderate | Free/low-budget |
1.4 Why This Matters
The best analysis is worthless if stakeholders can't understand it. Dashboards are the primary way insights reach decision-makers. A well-designed dashboard drives action; a poorly designed one collects dust.
2. 📝 Practice Questions
Q1: You need to present monthly revenue trends across 5 product categories to the CEO. Which chart type should you use and why?Stacked area chart or Multi-line chart.
- Multi-line chart: One line per product category, x-axis = month, y-axis = revenue. Best for comparing trends between categories.
- Stacked area chart: Total height = total revenue, each color = one category. Best for showing total revenue + composition over time.
Not: Stacked bar (too many categories makes it cluttered), pie chart (can't show trends), table (can't see patterns at a glance).Recommendation: Line chart with 5 colored lines, clear legend, and a filter to select/deselect categories. Add annotations for key events (product launches, pricing changes). Join Discord PreviousOperations Analytics