Sometimes it is difficult to see a way through. Sometimes, what we have always done no longer works. Sometimes the solution is so simple and obvious in hindsight. Of course, in our world of data, there is always a journey …
In the age of 'fake news', making accurate, attractive, and informative plots is essential in bridging the gap between people and data. In Part 2 of his blog, Dr Dave Clark, takes us through the possibilities of visualising data using R so that we can tell an impactful story.
Last month we were busy preparing some evidence for a leaders’ session on climate action in Essex. The Cabinet asked us to gather insight from data because climate is really important to Everyone’s Essex priorities and they want full picture …
Dr Dave Clark, a researcher within the School of Life Sciences and Institute for Analytics and Data Science at the University of Essex answers our challenge: How can I build visualisations that can easily be tuned to different audiences?
“How hard can it be?” That is my thought process when I come to approaching new challenges. If I’m able to see others excelling at one thing, I know that with enough time and practice I’ll be able to replicate what they can do. So, when I was asked to create a Power BI dashboard to enable ECC to share the residents’ survey data, “how hard can it be?”, came straight into my head.
Over the last year or so our team has carried out research around Covid-19, mental health, financial struggles, women’s safety and domestic abuse among other things. This has involved participants discussing past traumas and difficult periods they have experienced, which can leave us as researchers often dwelling on those conversations long after they have taken place...
Dashboards are an increasing trend and great for aiding transparency and communicating complex data in a clear and simple format. But creating one can be time consuming! We explore whether it's possible to build a dashboard in a day...
Don't worry, we're not here to solve that particular conundrum, instead let's embrace the sentiment in our data philosophy and apply it to our communication. After all the best insight in the world isn’t worth anything if no one can …
So, first you’re probably thinking, what is Dineq? Well let’s deal with that first. Dineq is a package in R that enables you to run Gini functions. Gini coefficients are traditionally used to look at inequality across income in populations, …
Encouraging organisational leaders to “do” data At ecda, we often talk about data analytics being a team activity. As well as analysts, we need experts in information governance, data processing, communications and project management. But we haven’t talked much about the people who …
The next in our series of data networking events takes place on Thursday 23rd September. Find out what we’ll be focusing on and why we think we're better together...