Data visualization methods are techniques used to represent data visually to help understand and analyze it more effectively. Here are some main data visualization methods:
Bar Charts: Used to compare different categories of data. For example, comparing sales figures of different products in a month.
Line Charts: Ideal for showing trends over time. For instance, tracking the stock price of a company over a year.
Pie Charts: Useful for showing the proportion of each category within a whole. Like displaying the market share of different companies in an industry.
Scatter Plots: Help in identifying relationships or correlations between two variables. For example, analyzing the relationship between study time and exam scores.
Heat Maps: Represent data intensity through color gradients. Often used to show website traffic or population density.
Geospatial Maps: Display data related to geographical locations. Useful for showing sales distribution across different regions or countries.
Histograms: Similar to bar charts but used for continuous data, showing the frequency distribution of data points. For example, analyzing the age distribution of a customer base.
Box Plots: Provide a visual summary of key statistical measures like median, quartiles, and outliers. Useful for comparing distributions between different groups.
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