When choosing the right software for finding patterns in data, there are many options available, from general-purpose tools like Excel and Google Sheets to specialized tools like R, Python ...

Machine learning is particularly good at digesting large amounts of data very quickly and identifying patterns or finding anomalies ... no surprise that computers excel at recognizing patterns ...

You might need different data, or you might have more luck asking a different question. Be open to the possibilities... and honest about the limitations. To find patterns in data, start by ...

Often we use Excel to analyze time-based series data—like sales, server utilization or inventory data—to find recurring seasonality patterns and trends. In Excel 2016, new forecasting sheet functions ...

Microsoft went a step further in Excel 2013 and created Flash Fill. This new feature recognizes patterns in your data and will finish tedious tasks for you. Produced by Sara Silverstein Follow BI ...

Excel’s Flash Fill is a lot faster and easier than combining string functions. Even when the data isn’t consistent, this feature does a good job of finding the pattern after a few tries.

Broadly speaking, there are three patterns of using Excel with external data ... metadata layer in PivotTables allows users to explore and find useful aggregations and slices of data easily and ...

and as a result find what fits with existing data and what doesn’t. As one of the more widely used patterns, there are many ways in which this pattern is applied. Data is at the heart of AI so it’s no ...