Types of Plots

• Bar charts : Ideal for comparing categories of data
  • ideal for visualizing and comparing discrete data.
• Pie charts : Illustrate parts of a whole, showing proportions
  • useful for displaying the composition of a categorical variable.
• Scatter Plots : Display relationships between two variables
  • helpful in identifying patterns, clusters, and outliers in the data.
• Line Charts : Demonstrate trends over a continuous interval
  • useful for showing how data changes over time or other continuous variables
• Heatmaps : Depict data values using ground gradients
  • effective for visualizing large datasets and identifying patterns or clusters in the data
• Histograms : Show the distribution of a single variable
• Bubble Charts : Represent three dimensions, with bubble size indicating a third variable
  • useful for visualizing relationships between three variables in a 2D space

Line plot

• Used for numeric data
• Used to show trends
• Compare two or more different variables over time
• Could be used to make predictions

Scatter plots

• Investigate relationships between quantitative values

No relationship: If there is absolutely no correlation present the value given is 0.

Perfect linear correlation: A perfect positive correlation is given the value of 1. A perfect negative correlation is given the value of -1.

Strong linear correlation: