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Data Visualization

  • Converts data into visual forms (charts, graphs) so patterns and trends are easier to see.
  • Helps people analyze information more quickly and support better-informed decisions.
  • Common forms include line graphs and pie charts.

Data visualization is the process of representing data in a visual format, such as a graph or chart. It allows people to understand and analyze data more easily, and make better-informed decisions based on that information.

Data visualization uses visual representations—for example, graphs or charts—to make data more accessible. By mapping data to visual elements (axes, points, slices, lines), visualization highlights patterns and trends that are harder to discern in raw numbers. Whether through a line graph, a pie chart, or another visual format, the goal is to enable quicker comprehension and support decision-making in modern data analysis.

A line graph is used to show how a particular set of data changes over time. For instance, a line graph could be used to show changes in the stock price of a company over the course of a year. The x-axis of the graph would represent time, while the y-axis would represent the stock price. The graph would consist of a series of data points connected by lines, allowing people to easily see how the stock price has changed over time.

A pie chart is used to show the proportions of a whole. For instance, a pie chart could be used to show the market share of different companies in a particular industry. The pie chart would be divided into slices, with each slice representing the market share of a particular company. The size of the slice would be proportional to the company’s market share, allowing people to easily see which company has the largest share of the market.

  • Understanding and analyzing data
  • Quickly seeing patterns and trends
  • Supporting more informed decision-making
  • Graph
  • Chart
  • Line graph
  • Pie chart
  • Visual representation
  • Patterns and trends
  • Modern data analysis