Visualizing big data is all about turning huge, complex datasets into clear stories that people can understand. Good data visualization lets you see patterns and insights at a glance, which is especially important when you have a lot of information. In fact, applying best practices in visualization can make complex data far more valuable and intuitive for decision-makers. Effective visuals help reveal trends, comparisons, and relationships that might be hidden in raw numbers. Below are key principles of good visualization, tips for choosing the right chart, and some practical do’s and don’ts.
https://www.integrate.io/blog/data-visualization-best-practices-make-your-data-shine/#:~:text=,graphs%2C charts%2C and interactive dashboards
https://fiveable.me/reproducible-and-collaborative-statistical-data-science/unit-6/principles-effective-data-visualization/study-guide/8wSZQ95qC86PtfVa
https://ajelix.com/data/data-visualization-principles/#:~:text=,help viewers interpret the data
https://humansofdata.atlan.com/2019/02/dos-donts-data-visualization/#:~:text=,to explain important chart elements
https://www.sigmacomputing.com/blog/best-visualization-histogram-bar-chart#:~:text=,and highlight differences within groups