Data Visualization
Data Visualization is turning numbers into charts or graphs so patterns are easy to see.
Picture a pile of mixed-up puzzle pieces on a table. You sort them by color into separate groups. Now you can see right away which color you have the most of. A chart does the same thing with numbers. It groups them so the pattern jumps out at you.
Explaining data visualization by grade level
You can draw a chart to show facts. Think of dots on a map for each big shake in the earth. More dots in one spot means more shakes hit there. A chart helps you see what the numbers mean.
Projects that explore data visualization
Graphs of individual earthquake years show no clear pattern — the data looks like noise. When you group it into 5-year, 10-year, and 20-year spans, something changes. A trend appears in the visualization that was invisible before, showing how the choice of time scale shapes what you can see in a chart.
You calculate the average travel time for each segment of a bus route, then plot those averages as a chart. The slowest segment — near a train station — takes 298 seconds per kilometer. The fastest takes only 99. Side by side in a visualization, the difference is immediate: you can see exactly which segments drag down the route and by how much.
You plot Big Mac prices and GDP per capita side by side for each country, creating two charts to compare the data directly. The results are striking: higher national wealth does not always mean a more expensive burger. That gap between what the numbers suggest and what the visualization reveals is exactly what makes this kind of analysis useful.