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
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].
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].
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].
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].
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].
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].
Area Graphs
Similar to line graphs but with the area below the line filled in, emphasizing the magnitude of values over time[2].
Stacked Bar Charts
Extend the bar chart by dividing each bar into multiple categories, showing the cumulative contribution of each category t...
