📌 Data Visualization Summary

Data visualisation is the process of turning numbers or information into pictures like charts, graphs, or maps. This makes it easier for people to see patterns, trends, and differences in the data. By using visuals, even complex information can be quickly understood and shared with others.

🙋🏻‍♂️ Explain Data Visualization Simply

Imagine trying to find your way using a list of street names instead of a map. A map makes it much easier to see where everything is. In the same way, data visualisation turns confusing lists of numbers into pictures so you can spot important details at a glance.

📅 How Can it be used?

A company could use data visualisation to display sales trends on an interactive dashboard for managers.

🗺️ Real World Examples

A public health agency creates a map showing the spread of flu cases across different regions. This helps officials and the public see which areas are most affected and where to focus resources.

A school uses bar charts to show student performance in different subjects, helping teachers and parents quickly identify strengths and areas needing improvement.

✅ FAQ

Data visualisation helps people make sense of information that might otherwise be confusing or overwhelming. By turning numbers into charts or graphs, trends and patterns become much clearer, which can help with making better decisions or sharing findings with others.

Some of the most common types of data visualisation are bar charts, line graphs, pie charts, and maps. Each type has its own use, depending on what you want to show, such as changes over time, comparisons between groups, or how things are spread out in a location.

Yes, anyone can create a good data visualisation, especially with the help of modern tools and software. The key is to think about what message you want to share and choose the right kind of visual to make your point clear to others.

📚 Categories

• Data Engineering
• Data Science
• Explainability & Interpretability

🔗 External Reference Links

Data Visualization link

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