Seaborn: Statistical Data Visualization

Statistical Data Visualization

•  Statistical data visualization means graphical representation of data in such a way that it conveys meaningful information about patterns, trends and relationships within the data.

•  For statistical data visualization various types of charts, graphs and plots are used to make the complex datasets more accessible and meaningful to the target audience,

•   Seaborn helps to explore and understand data present in the data set.

•  It has the plotting functions that operate on the dataframes and arrays present in your data set.

•  The beauty of Seaborn library is that it examines the desired data set, internally performs some semantic mappings and statistical aggregation and produces informative plots.

• Common types of data visualization includes ‒

■ Bar charts and histograms: It displays the distribution of a dataset, highlighting key summary statistics.

■ Line charts: It shows trends over time or across ordered categories.

■ Scatter plots: It displays the relationship between two continuous variables by plotting points on a two‒dimensional graph.

■ Box plots or Violin plots: These plot display the distribution of a dataset, highlighting key summary statistics.

■ Pie chart : It Illustrates the proportion of different categories within a whole.

■ Pair plots: It allows to plot pairwise relationships between data items within a dataset.