Читать книгу Big Data - Seifedine Kadry - Страница 36

Visualization makes the life cycle of big data complete assisting the end users to gain insights from the data. From executives to call center employees, everyone wants to extract knowledge from the data collected to assist them in making better decisions. Regardless of the volume of data, one of the best methods to discern relationships and make crucial decisions is to adopt advanced data analysis and visualization tools. Line graphs, bar charts, scatterplots, bubble plots, and pie charts are conventional data visualization techniques. Line graphs are used to depict the relationship between one variable and another. Bar charts are used to compare the values of data belonging to different categories represented by horizontal or vertical bars, whose heights represent the actual values. Scatterplots are used to show the relationship between two variables (X and Y). A bubble plot is a variation of a scatterplot where the relationships between X and Y are displayed in addition to the data value associated with the size of the bubble. Pie charts are used where parts of a whole phenomenon are to be compared.