Designed to introduce students to quantitative methods in a way that can be applied to all kinds of data in all kinds of situations, Statistics and Data Visualization Using R: The Art and Practice of ...

Excel PivotTables are indispensable tools for data analysis and visualization, allowing users to quickly summarize and explore large datasets. Mastering their advanced features can significantly ...

Data Import and Transformation: Laying the Foundation Your journey begins with the crucial step of importing data into Power BI.

The book then presents tools for log file analysis. I like the fact that barely a stone is left unturned — even attacking and defending these visualization systems is addressed.

If you’ve ever doubted that visualization matters to data analysis, you need to see these images. Why is data visualization so important in statistics, anyway? Graphs and other kinds of ...

With the influx of data and self-service analytics tools, we're going to need more people capable of communicating insights effectively. The next generation of data storytellers will not be ...

Data analytics is a discipline focused on extracting insights from data, including the analysis, collection, organization, and storage of data, as well as the tools and techniques to do so.

Visualization and analysis of many complex datasets are beyond the capabilities of existing software packages and rely on cutting-edge research in computer graphics and computer vision fields.

The use of advanced data visualization technology is heating up developers of business intelligence, and data analytics apps look to handle big data.