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. Why? As Fred R. Barnard states “A Picture is worth a thousand words”, data visualization is another form of visual art that grabs our interest and keeps our eyes on the message. Visualization helps us to quickly see trends and outliers. If we can see something, we internalize it quickly. It’s storytelling with a purpose. Data visualization helps to tell stories by curating data into a form easier to understand, highlighting the trends and outliers. A good visualization tells a story, removing the noise from data and highlighting the useful information. Effective data visualization is a delicate balancing act between form and function. The data and the visuals need to work together, and there’s an art to combining great analysis with great storytelling. How?

  • Planning to right size the data, to avoid information overload.
  • Data collection to answer our questions.
  • Fluidity of data.
  • Question we are trying to answer
  • A combination of disciplines – statistics, data mining and information visualization.
  • Process
    • Acquire
    • Parse
    • Filter
    • Mine
    • Represent
    • Refine
    • Interact