Search Results

three years, I’ve felt the rewards of using Whoop, but recently, I had the urge to dig deeper with a data But this data analysis revealed that going to bed earlier and some additional lifestyle changes had a

Simply put, they measure how far a data point is from the average in a dataset. What if a data point is far from the average?   That data point is considered an anomaly . What if a data point is close to the average? That data point is considered normal . But how do you know when a data point is close or far enough to be normal or an anomaly? each metric , and the Z-score Data Table .

seasonality can last anywhere from a few hours to several decades, so it’s essential to analyze your data—or School” promotion as a search term on Google Search Trends and found this graph based on 5 years of data I tend to visualize data, like the graph above, to get a sense of when seasonality tends to occur. Although this is a fictional example, it’s always important to cross-reference this kind of data with To pinpoint the best dates, I like to analyze data from the last 12 months to identify more specific

Here's a general ROAS benchmark you can use, but be sure to make adjustments based on data, unit economics Make sure you’re setting expectations based on real time data and upcoming events that might affect your