Big data refers to large, diverse sets of information from multiple sources that can provide strategic information for ...

Clustering non-numeric -- or categorial -- data is surprisingly difficult, but it's explained here by resident data scientist Dr. James McCaffrey of Microsoft Research, who provides all the code you ...

Sparklines in Microsoft Excel are charts—tiny little charts that display inline with the data because they fit into a cell, usually adjacent to the data they’re evaluating. With a quick glance, not ...

Data rarely comes in usable form. Data wrangling and exploratory data analysis are the difference between a good data science model and garbage in, garbage out. Novice data scientists sometimes have ...

Assuring data quality should be one of the most important goals for IT professionals. This is truer today than it has ever been as organizations rely on data to power their AI and machine learning ...

Effective data visualizations display complex information in a way that's easy to understand. Here's what goes into creating a good one. Data visualization has grown more complex as the number of data ...

Data visualization is a process in data analytics where visual representation communicates the data and insights to facilitate good data-driven decisions. Basically, data visualization is ...

What Is Data Literacy, and Why Is It Important? Your email has been sent Data literacy, the ability to read, understand, analyze and communicate information, helps ...