Data Visualization basically means to virtually represent data to analyze it accurately. It changes the way we make sense of the information to create value out of it. Discover new patterns and spot trends. With the digitization era, data went from scarce, expensive, and difficult to find and collect to abundant, cheap, and difficult to process and understand.
Data visualization is one of the steps of the data science process. After data has been collected, processed, and modeled, it must be visualized for conclusions to be made.
Processing and analyzing data is very important for businesses and individuals. But the question arises How do we virtually represent data, and which technique is best for my data? The answer to all these questions is in this book.
Big data visualization often goes beyond the typical techniques used in normal visualization, such as pie charts, histograms, and corporate graphs. It instead uses more complex representations, such as heat maps and fever charts. Further, the difference between data science and data visualization is explained, concluding by making the reader understand the various opportunities available in data visualization and how one can make a career out of it.
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