Companies House, the UK’s registrar of companies for HM Government, have collated an array of data, and were looking to leverage the power of data science to create meaningful insights from the data points.
Companies House wanted to dive into their wealth of data to create a series of blogs which would tell engaging and insightful stories about UK business today.
In collaboration with Data Design Studios, experts in data story-telling and visualisation, we started to sift through the 4.4million companies in the data set to draw out the most compelling narratives.
By applying data science techniques to the data, we were able uncover a number of interesting story angles that Data Design Studios brought to life through their visualisations for Companies House.
SIC codes are used as a tool to organise the number of UK companies. We thought it would be interesting to investigate their correlations with one another as well as over time to identify changes in the types of businesses being incorporated.
For real estate, unsurprisingly, 2008 was a pivotal moment but we found the subsequent annual rise of SIC property pairings following the financial crisis interesting.
Since some companies have more than one SIC code, we built a network of relationships between SIC codes and analysed how the share of each SIC code pairing varies over time. Check out the full story here! To follow up we also looked at the age demographics of business sectors using these SICs – check out the results for that here!
We started to see interesting patterns emerge when looking at the rise and fall of the use of certain words in business names over time. Beauty, alongside a long list of others stuck out. Check out the full story here!
We wanted to investigate whether the “Yellow Pages” effect had impacted how organisations chose to name their companies, our analysis demonstrated that not all letters were created equally
We calculated the share of companies founded each year using each letter of the alphabet. We looked at how these varied over time. To provide a benchmark, we used a dictionary list to calculate the expected share of each letter. Check out the full story here!
The UK high street has faced some serious challenges over the past decade. eCommerce has crept in to steal market share for many retailers, and pubs have been closing in record numbers. We looked at data covering stalwarts of the high street to visualise the trends in recent years, and see how communities have helped keep pubs and bars alive. Check out the full story for: