In this detailed exploration, we delve into three distinct methodologies to accurately calculate the period of a time series — the critical timespan marking one complete cycle of a repeating pattern in your data. From the bustling city streets to the complex web of financial markets, understanding the periodic nature…

In this post we continue our analysis on the stock price timeseries data from 20 companies we gathered and obtained in previous post. Here we look at four different ways to cluster these companies based on the correlation among stock prices. Recap In our previous post, we gathered data for the…

Navigating the DP-100 certification journey? “Designing and Implementing a Data Science Solution on Azure” is a pivotal certification for aspiring Azure data scientists. Leveraging insights from my successful exam experience, this article delves into an in-depth analysis of various DP-100 exam preparation materials and practice tests. Discover the strengths and…

The DP-100 exam, officially titled “Designing and Implementing a Data Science Solution on Azure,” is a key certification offered by Microsoft Azure. This exam assesses the skills and expertise of aspiring data scientists and data engineers in designing and implementing data solutions using Azure technologies. …

Probability is a fantastic and tricky subject. Some of the things that seems very rare to happen are not that rare, when analyzed with it. Some of the things that we expect to happen frequently are indeed rare occurrences. If not used used properly, probability will leave us many fallacies…

Countplots, a renowned tool in data analysis and data visualization, excel at showcasing the frequency or count of categorical variables. They pave a clear path towards grasping the distribution and relative frequencies of various categories within a dataset. Especially potent in exploring and comparing categorical data, countplots assist in identifying…

In this post, we will use ARIMA on the city of Ottawa service calls dataset to predict the future values. We will compare three different forecasting methods using various methods as the key performance indicators (KPIs). As previously mentioned in the other notebook, this data is freely available on the…

Mathematics often reveals intriguing patterns in our day-to-day lives, and one such phenomenon is Benford’s law. This law describes the surprising but simple pattern observed in real-life data. When dealing with diverse data sets such as currency amounts, population sizes, or building heights, the range of values can be wide…

In our previous posts on clustering and correlation, one problem we faced was the ways of visualizing clusters. In this dendrogram tutorial, we will address cluster visualization. We use the correlation data we obtained through the daily stock prices among companies to demonstrate this. Introduction A dendrogram is a diagram that…