Exploring business in the UK: Data

These are the items used for the main article. This is hosted on github so feel free to inspect this for your own analysis. Feedback is always welcome.

Contents
1. What data sets does this article use?
2. What libraries are used here?
3. What did I learn when making this?

What data sets does this article use?

This article makes use of the following data. I've tried to make use of the most recent items but in the time you are reading this new data may have been published.

A lot of the data comes from the ONS and there are lots more data sets out there. If you come across something else interesting do let me know..

Source	Dataset	Link
NOMIS	UK Business counts	Source
BEIS	Business population estimates 2019	Source
ONS	UK business: activity, size and location	Source
ONS	Business demography, UK	Source
ONS	UK SIC 2007	Source
Facebook	Future of Business Survey	Source
ONS	Exporters and importers by industry breakdown (Annual Business Survey)	Source
ONS	Annual Population Survey estimates by region	Source
ONS	Annual Survey of Hours and Earnings time series of selected estimates	Source
ONS	Foreign direct investment involving UK companies: inward	Source
ONS	Regional labour productivity, including industry by region, UK: 2018	Source

Throughout the article the difference between IDBR related data and estimated data is referenced. The chart below tries to highlight visually the differences, for more on the guidance this guide offers a good overview.

What libraries are used here?

This article makes use of the following libraries.

Type	Name	Link
CSS	Skeleton	Source
Chart	Google Charts	Source
Chart	Chart JS	Source
Chart	Apex Charts	Source
Maps	Atlist	Source

What did I learn when making this?

Aside from the main points, I also picked up these reflections:

Colours on charts matter. I probably still haven't got this quite right just yet. From accessibility to conveying the information colour on charts matters ans needs to be thought out further.
Data is, thankfully, everywhere. Once you start searching it makes me glad the UK publishes and shares so much data openly.
It takes time to understand underlying complexity. Whilst data is accessible the context and structure behind the figures takes time to unpick.
Charting libraries are now really powerful. Big thanks to all the creators and maintainers of those libraries who make creating and iterating on these charts really fast. Additional thanks to Tobias Ahlin for the intros into charting.

That's it, thanks for reading. If you have any feedback, requests for future articles or thoughts please do share it with me.

You can follow me on twitter @logikblok or, if you liked this, you could buy me a coffee.

surajr.com. Other sketches

Data: Exploring business in the UK 🇬🇧

What data sets does this article use?

What libraries are used here?

What did I learn when making this?