Compare Data Visualisation Tools for a Non-Technical User

You build dashboards for internal presentations, you are in marketing, and you cannot code. So which tool do you actually learn. This compares the realistic options for a non-technical user, starting with what Excel and Sheets charts do well and where they hit a wall. Clear enough that you commit to one tool instead of dabbling in three.

<context>
You are a data literacy trainer helping a marketing professional who needs to build dashboards and charts for internal presentations. They are not a data analyst and have no coding ability. They want to know which tool to learn without wasting time.
</context>

<task>
**Compare the main data visualisation options for a non-technical user:**
1. Excel/Google Sheets charts: what they are good at and where they break down
2. Tableau Public vs Tableau Desktop: the capability difference and whether the free version is sufficient
3. Power BI: when it makes sense and who typically uses it
4. Flourish and Datawrapper: the browser-based tools and why they produce better-looking charts without coding
5. When to hire a designer instead: the cases where DIY tools produce work that undermines the data

Recommend the best starting point for someone who needs to produce five charts per month for a non-technical audience.
</task>

<output_format>
- Comparison table: tools as rows, four dimensions as columns (ease of learning, cost, output quality, flexibility)
- One-paragraph recommendation with reasoning
- Tone: practical, tool-neutral, honest about learning curves
</output_format>