Data Visualization Understanding the concept In simple terms, data visualization is the portrayal of data in simpler forms so that the human brain may better interpret it and extract meaningful insights. Data visualization tools make it easy to examine and comprehend trends, outliers, and data patterns by employing visual elements like charts, plots, graphs, infographics and maps. Data visualization does not have one form of representation. Even though it is said that data visualization is a way of simplifying complex data, it is not always converted into a simple pie chart or bar graph. It all depends upon the kind and amount of data that is being processed and what type of visual representation is possible to create out of it. One person’s statistics might be another person’s raw data. As data visualization has no boundaries to who and what it can be used for, it all comes down to one’s motive behind using data visualization and his creativity with how he ...
Big data is defined as data that is so massive and complicated that processing it using typical methods is difficult. The practice of acquiring and storing vast amounts of data for analytics has a long history. This massive amount of data necessitates cost-effective and creative data processing methods that provide better insight, decision-making, and process automation. To process this information is where Machine learning comes in. Machine learning uses systems that are automated to label the data and find patterns in them. The data is then converted to insights that are usable and easy to understand. To forecast and mold customer behavior, large databases are used. The field of fitness will undergo significant changes in the future as artificial intelligence gets more incorporated into our lives. "Big Data is a data whose scale, distribution, diversity, and/or timeliness require the use of new technical architectures and analytics to enable insights that un...