← Data Visualization learning pathData Visualization · Module 1 of 10
Why visualise data?
Charts reveal patterns, trends and outliers that tables hide.
📖 Key ideas
- Visuals help people understand data quickly.
- Good charts answer a clear question.
- Common uses: dashboards, reports, presentations, exploration.
- Exploratory charts are for you; explanatory charts are for an audience.
- Tools: Excel, Power BI, Tableau, Python (Matplotlib, Seaborn, Plotly).
💡 Real-life example: A chart is a map: you see the whole city at a glance instead of reading every street name.
VisualisationGraphical representation of data
Exploratory chartChart to discover insights
Explanatory chartChart to communicate a message
OutlierValue far from others