Heatmaps, Pair plots, and Distribution plots Heatmaps: Imagine a grid of colorful squares where each square represents a data point. These squares,...
Heatmaps:
Imagine a grid of colorful squares where each square represents a data point.
These squares, arranged in a grid, show the distribution of values in a dataset.
High values are represented by darker colors, while low values are represented by lighter colors.
Heatmaps are useful for identifying patterns and trends in a dataset, particularly when dealing with large datasets.
Pair plots:
Similar to heatmaps, but instead of showing individual data points, pair plots display relationships between two variables.
Two sets of data points are plotted on a graph, with the points connected by lines.
This allows you to identify correlations and relationships between different variables.
Distribution plots:
These plots show the distribution of a single variable.
There are two types of distribution plots: histograms and box plots.
Histograms show the number of observations in each bin, while box plots show the median, quartiles, and range of the data.
Distribution plots help us understand the central tendency and spread of a dataset