Data is vast and inherently hard to understand. So naturally, certain technologies, algorithms, and practices have been developed to help enhance the ways in which we understand, and ultimately use, data. The current trend states that all data is inherently valuable, however, this very much depends on what is considered to be of value. Algorithms built from selective data points, or features, are often used to predict the future. One such example is called time series analysis. Time series can be considered one of the most important means of processing data, especially in situations where historic data exists, or the expected value output requires actions to be understood over periods of time. 

Time series analysis is a …