Introduction In the business of data visualizations, there is a rule called the 5-second rule. It states that if someone looks at data visualizations, they should know exactly what it…
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Pulling Back The Curtain Of Text-To-Image AI – How DALL-E Mini Works
Introduction Imagine if you could type a sentence of text and have an image generated for you within seconds. That would be pretty cool right? But that sounds like something…
Outliers – A Thorn In Your Side
Introduction Outliers. They can mess up a data analyst’s data really quickly. As defined by the National Institute of Standards and Technology they are “An outlier is an observation that lies…
Social Media Analysis
Introduction Social media is everywhere in our lives now. From our entertainment to our personal and professional lives, it is involved in nearly every aspect of human life. This makes…
How To Be More Productive In Excel
Introduction Excel has many use cases. From professional to personal uses it is a great all-around platform for any type of data that you want organized and in an easy-to-read…
Flaws With The Fundamentals Of Data Science
Introduction The use of data has driven unmatched success in almost every industry. Some of this data is obtained is through A/B testing. This is a statistical test in which…
A Checklist For The Right ML Algorithm
Introduction In machine learning (ML) there are a plethora of different algorithms to choose from. Algorithms are the in-between processing that happens when you give the model data and get…
Detecting Players On The Court In March Madness
Introduction March madness started this past week and has college basketball fans buzzing around the USA. For those unfamiliar march madness is a college basketball tournament held every year in…
Data Doesn’t Automatically Equal More Profit and Here Is Why
Introduction Many people think that data is automatically insights and more profit for the business. This however could not be further from the truth. There is a long and arduous…
Has Data Science Found Its Downfall?
Introduction Data science was posed to the job of the future earlier in the century. But now it is time to present the opposite question – is data science dying?…