Hidden Insights
Experience the possibilities with Business Analytics
In the previous section of this series we discussed ways of assessing the relationship between variables. This week we change the focus to the shape and sparsity of our dataset. One area of Explanatory Data Analysis which we’ve missed so far is the impact of missingness in data. Having missing
„Ich wusste gar nicht, dass man bei Ihnen einfach so anrufen kann.“
In the previous section of this series we looked at basic summary statistics. In this article we start to consider the relationships between variables in our dataset. As part of your Explanatory Data Analysis it is worth looking for correlation between variables. Generally, when referring to correlation we mean the
Within both the business world and our personal lives, data is becoming increasingly intrinsic to everything we do. Whether it’s picking which restaurant to order from, a tailored advert or figuring out the quickest route home, data is a part of our everyday decision making. For businesses, the value of
Economists and forecasters have painted a gloomy picture of the impact of the COVID-19 pandemic on UK society. The impact of lockdowns and travel restrictions on many sectors of the economy was expected to put businesses at risk and pull millions of families into financial hardship. In the energy and
Beloved Dummies: Let’s demystify another #AI-hype today: predictive maintenance. Yet another one of these buzzwords that require batteries of #DataScientists and truckloads of programmers. Let me show you how Dummies like you and me can address this. What is predictive maintenance? So we’re talking maintenance of machinery. Sure, you can