Types of Visualization

 This is a technique for making complex data mor understandable and accessible, here are some types of data visualization:

1.    Bar Charts: Used to compare different groups or to track changes over time. They can be vertical or horizontal.

2.    Line Graphs: Show trends over a period of time or continuous data, ideal for showing how a variable changes.

3.    Pie Charts: Represent proportions within a whole, best used when you want to show percentage or proportional data.

4.    Scatter Plots: Used to show the relationship between two variables and to identify patterns or trends.

5.    Histograms: Similar to bar charts but used for frequency distribution of numerical data.

6.    Area Charts: Similar to line graphs but the area under the line is filled with colour; useful for demonstrating cumulative totals.

7.    Heat Maps: Show the magnitude of a phenomenon as colour in two dimensions; useful for cross-tabulated data.

8.    Bubble Charts: A variation of the scatter plot, where the size of the bubble represents an additional variable.

9.    Tree Maps: Display hierarchical data as a set of nested rectangles, with each branch of the tree represented as a rectangle.

10.  Box-and-Whisker Plots: Show the distribution of data based on a five-number summary: minimum, first quartile, median, third quartile, and maximum.

11.  Choropleth Maps: Use differences in shading or colouring within predefined areas to show the value or quantity of data.

12.  Radar Charts: Display multivariate data on a two-dimensional graph, where three or more quantitative variables are represented on axes starting from the same point.

13.  Network Diagrams: Visualize relationships and flows between interconnected entities.

14.  Funnel Charts: Show the stages of a process and the potential loss at each stage, commonly used in sales.

15.  Gantt Charts: Used for project management to show the phases of a project, their duration, and the sequencing of tasks.

These visualization types help in presenting data in ways that are easy to consume and allow for exploration, enabling people across all levels in an organization to dive deeper into data and use the insights for faster and smarter decisions.

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