What are the different types of graphs used in data representation?

There are several types of graphs used in data representation, each serving a specific purpose. Bar graphs are great for comparing quantities across different categories. Line graphs are ideal for showing trends or changes over time. Pie charts are used to represent parts of a whole as percentages. Histograms display the distribution of numerical data, while scatter plots help identify relationships or correlations between two variables. Choosing the right graph depends on what kind of data you have and what story you want to tell through it.
 
There are several types of graphs used to represent data visually, each suited for different purposes:
  1. Bar Graphs – Compare quantities across categories using rectangular bars.
  2. Line Graphs – Show trends or changes over time.
  3. Pie Charts – Display proportions or percentages of a whole.
  4. Histogram – Show frequency distributions of numerical data.
  5. Scatter Plots – Reveal relationships or correlations between two variables.
  6. Area Graphs – Similar to line graphs but emphasize volume over time.
  7. Stacked Bar/Column Graphs – Show parts of a total across categories.
Each graph helps visualize data clearly for analysis and decision-making.
 
Different types of graphs used in data representation include bar graphs, line graphs, pie charts, histograms, scatter plots, and area graphs. Each type helps visualize data differently — bar and line graphs show trends, pie charts display proportions, and scatter plots reveal relationships between variables. These visual tools make complex data easier to interpret and compare effectively.
 
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