We are surrounded by data every single moment of our lives. As we collect this data, analyze, synthesize, and extract the patterns and trends we can find inside of that data, sharing that wealth of information with others becomes a challenge. The traditional method of organizing data by type and function inside of a spreadsheet is great for comparing patterns within a table or even contrasting one variable with any other variable within the database. The limitations of spreadsheets arise fairly quickly though when looking for a clear representation of real-world context…or even fully understanding the magnitude that each data point might actually be representing.
For some people, wrapping their minds around abstract numbers, places, and arrays of data…even recognizing the patterns within these points of data…can be difficult. Especially when these variables are sitting inside a spreadsheet where the context many people need in order to transform this data into information is missing.