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 ...

When collecting sets of numeric data that represent sales, customer survey results or other business-related outcomes, you can divide your values in four segments called quartiles. These data ...

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 ...

The facts of climate change are widely reported. NASA notes, for example, that with a two-degree-Celsius increase in global temperatures, as compared with a 1.5-degree-C increase, about 61 million ...

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 ...

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 ...

Microsoft Excel is spreadsheet data management software used by many small businesses for day-to-day operational tasks. Excel's convenient cell-based structure lets you input your business' inventory, ...

Clustering data is the process of grouping items so that items in a group (cluster) are similar and items in different groups are dissimilar. After data has been clustered, the results can be analyzed ...