What are some common data visualization techniques used by a data analyst?
Data analysts use various data visualization techniques to interpret and present data effectively. Common methods include bar charts for comparing categories, line charts to show trends over time, and pie charts for illustrating proportions. Histograms help visualize data distribution, while scatter plots are used to identify relationships between variables. Heatmaps are ideal for highlighting patterns and correlations in large datasets. Dashboards combine multiple visualizations to provide an interactive overview of key metrics. These techniques make complex data easier to understand and support better decision-making. Mastering these visualization skills is essential for anyone pursuing a successful career through a data analyst course.
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