In complex systems, graphs are data structures that describe relationships and interactions between components. In general, a graph is made up of nodes, which are individual entities, and edges, which are the relationships between nodes.
Graphs and charts are visual representations of data linkages that are meant to make the information easy to learn and remember. Graphs and charts are frequently used to illustrate trends, patterns, and relationships between collections of data.
If your data is discrete, use bar charts or histograms; if your data is continuous, use line/area charts. Use a scatter plot, bubble chart, or line chart to depict the relationship between values in your dataset.
Graphs have also been utilised in the Data Science and Analytics industry to model diverse structures and challenges. As a Data Scientist, you should be able to answer problems quickly, and graphs give you that ability in situations when the data is organised in a precise way.
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