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What are the types of statistical graphics ?
Types of statistical graphics :
- Curve and Line Graphs:
- Purpose: Show relationships between two continuous variables, especially over time.
- Example: Line graph with lines connecting data points, indicating trends.
- Surface Charts:
- Purpose: Depict parts of a whole, where curves or lines represent individual or aggregated amounts.
- Example: Stacked lines or curves, similar to a segmented bar chart, with different textures or shading.
- Scatterplots:
- Purpose: Display relationships among individual data points in a two-dimensional array.
- Example: Points on a plot where X-axis and Y-axis variables intersect, revealing correlations and trends.
- Bar Graphs:
- Purpose: Show differences between separate entities or discrete intervals.
- Example: Bars extending from a common origin or between separately plotted high and low points.
- Segmented or Stacked Bars:
- Purpose: Display both the total measure and component portions of a value.
- Example: Bars segmented into pieces reflecting component values, similar to surface graphs and pie charts.
- Pie Charts:
- Purpose: Show the apportionment of a total into component parts.
- Example: Circle divided into pie-shaped pieces, but caution advised due to limitations in absolute measurement and representation.
- Flow Charts:
- Purpose: Represent complex, sequential processes or aid in problem-solving through a series of questions.
- Example: Schematic representation of data flow, useful for sequential and decision-making processes.
