1- Bar Charts:
Summary: Representing data with rectangular bars for comparing discrete categories and trends.- Definition: Bar charts use rectangular bars of varying lengths to represent data values for different categories or groups.
- Usage: Suitable for comparing discrete categories or showing trends over time.
- Advantages: Clear visualization of comparisons and trends.
- Examples: Sales by region, market share by company.
2- Pie Charts:
Summary: Displaying data as a circular graph divided into slices to illustrate proportions.- Definition: Pie charts use circular graphs divided into slices to represent the proportion of each category relative to the whole.
- Usage: Effective for showing the composition of a whole and highlighting proportions.
- Advantages: Easily convey proportions and percentages.
- Examples: Market share distribution, budget allocation.
3- Line Graphs:
Summary: Depicting data points connected by lines to show trends and relationships over time or categories.- Definition: Line graphs connect data points with straight or curved lines to visualize trends and relationships.
- Usage: Ideal for showing changes over time and identifying trends.
- Advantages: Clearly illustrate trends and patterns.
- Examples: Stock price fluctuations, temperature changes over seasons.
4- Scatter Plots:
Summary: Using dots to represent data points on a 2D plane for visualizing relationships and correlations.- Definition: Scatter plots use dots to represent individual data points plotted on a two-dimensional plane.
- Usage: Effective for visualizing relationships and correlations between variables.
- Advantages: Easily identify patterns and relationships.
- Examples: Correlation between height and weight, relationship between age and income.
5- Heatmaps:
Summary: Visualizing data in matrix format using colors to show patterns and concentrations.- Definition: Heatmaps display data in a matrix format where colors represent the intensity of values.
- Usage: Ideal for identifying patterns, concentrations, and correlations in large datasets.
- Advantages: Easily spot trends and outliers in complex datasets.
- Examples: Geographic population density, website traffic by time and location.