Graphs are essential tools in data visualization, used to represent and analyze relationships between data points. Here are some common types and categories of graphs:
Common Types of Graphs
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Line Graphs
- Used to display data that changes continuously over time. Line graphs are ideal for showing trends and making predictions based on historical data[1].
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Bar Charts
- Useful for comparing quantities corresponding to different groups. Bar charts can be vertical or horizontal and are used to display and compare categorical data[1][2].
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Pie Charts
- Represent data in a circular format, ideal for showing proportional data or percentages of a whole. Each slice of the pie corresponds to a category's contribution to the total[1][2].
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Histograms
- Similar to bar charts but used specifically for quantitative data. Histograms show the distribution of data over a continuous interval or certain period[1].
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Scatter Plots
- Used to determine relationships between two variables. Each point on the scatter plot denotes the value of two variables, helping to identify correlations[1][2].
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Bubble Charts
- An extension of scatter plots, where each data point also has a size dimension, allowing for the representation of three data dimensions in two-dimensional space[1].
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Area Graphs
- Similar to line graphs but with the area below the line filled in, emphasizing the magnitude of values over time[2].
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Stacked Bar Charts
- Extend the bar chart by dividing each bar into multiple categories, showing the cumulative contribution of each category t...