At the core of modern business lies data. From pursuing potential leads to reinforcing brand relevance in the public sphere, data is integral and often at the forefront of business decision making. However, data is also volatile. The mobility and changes that are the cornerstones of capitalist societies imply that addresses will change, phone numbers will be swapped and names might eventually be altered among other details. For these reasons, databases need constant checks an

First of all, if you know what R is then please skip down the page to the Packages section of this post which gives R packages that can be used, with some relevant code to get you started. What is R? The R website has an about page which can be found here https://www.r-project.org/about.html, but the crux of what is said on this page is that R is a large calculator with the most extraordinary number of buttons for as many functions as you can imagine. Functions are essentiall

Data Analytics is a broad subject and has come to the forefront of industry during the digital age as many companies look to utilise the value of data by analysing its contents to drive decisions. But what is Data Analytics and why bother with it? Firstly, looking at the definition of both words: And Every modern business looks to collect information, from its sales and customers to suppliers and competitors. This Data can then be used to explain trends/patterns, make decisio