What is Data Visualization?
"Data visualization is the graphical representation of information and data. By using visual elements like charts, graphs, and maps, data visualization tools provide an accessible way to see and understand trends, outliers, and patterns in data.
In the world of Big Data, data visualization tools and technologies are essential to analyze massive amounts of information and make data-driven decisions."
Data Visualization can help you to:
Things to Consider:
Choosing Your Visualization
Thinking about what kind of data you have to work with and what kind of visualization will best tell your data story and convey information accurately is important when selecting a type of chart or graph:
From data to Viz: The data visualization decision tree helps users to pick the best visualization for their research
Viz Pallete: When choosing colors for your graph, it's important to consider accessibility, especially if viewers have color blindness. This website takes user-specified color input and displays what various colored graph types would look like to people with types of colorblindness.
Datawrapper: What to Consider when Choosing Colors for Data Visualization: A quick overview of what to consider when choosing colors for different type of graphs. One important question is: what do you want to the viewer to take away from the graph?
Data visualization can have a huge impact on how people understand important topics and make decisions. When creating data visualizations, it's essential to remember that data is not neutral and we have a responsibility to not create misleading charts & graphs and be transparent about where the data comes from and who collected it.
SAS (n.d.) Data Visualization: What it is and why it matters. https://www.sas.com/en_us/insights/big-data/data-visualization.html
Tableau (n.d.) Data visualization beginner's guide: a definition, examples, and learning resources. https://www.tableau.com/learn/articles/data-visualization