An interactive data visualization that revealed new insights on the most important skills for professionals in Reed's four recruitment sectors.
Reed Global wanted to produce a one-of-a-kind report on the most important skills in the workforce. In order to provide a unique take on what can be an over-reported topic, I produced an original analysis by combining multiple different datasets.
Using the Open Skills API from the O*NET database, I identified key job roles within Reed's four focus industries to analyse the data. I then took the top role names and skills for each job and pulled historical data from Google Trends to see how search interest has changed over time.
With this analysis complete, I worked closely with the design team to find the best solution for visualizing the data in a new and exciting way.
This dive into search interest required providing some historical context. In order to pull out trends for the user, I used data journalism and research to answer the "why" behind key changes in search interest for job roles.
Want to hear more about this project? Get in touch.
An interactive, live data visualization that revealed patterns and insights from the local community for Clerkenwell Design Week 2018.
In order to better understand and promote London's biggest architecture and design festival, my team (infogr8) and I set out to map the connections and patterns that exist in the community.
Using a design sprint method we created a live visualisation that accepted user input through a simple four question survey, and then added these answers to the visualisation.
Users were then invited to explore the results so far with an interactive walkthrough of the data, followed by a fully interactive dashboard to filter and sort the data at will.
A data-led augmented reality experience that visually explains the effects of food waste on our environment, alongside a set of AR recipe cards showing how to make each dish at the event.
In collaboration with Spearhead Interactive and Joe Sarah Photography, the team at infogr8 created a series of custom infographics to view in augmented reality. After downloading the app, guests were invited to discover these infographics by exploring
their surroundings and finding specific trigger images to point their phone camera at. Guests could also point their cameras at the large-scale food photography hanging on the walls to view the recipes
that would be served that evening.
Ahead of the event, I researched and analysed the data on global food waste to find the most impactful facts to feature in augmented reality. These stats were then contextualised alongside other data to help people put the numbers in perspective. For
example: did you know that the amount of global food waste is 4x the amount needed to feed all the malnourished people in the world? We then took these facts and produced a series of visualisations that
weaved together a narrative around food waste.
A scrollable data story that unpacks the science and art of what makes a great food photograph.
Alongside expert food photographer Joe Sarah, I set out to understand what makes people salivate when they look at food.
The story is based on a live interview conducted with Joe Sarah and some data-digging/research to find facts about trends in the food industry.
We combined multiple media formats to create the story, including an immersive way of playing audio alongside photographs.
In order to recreate the experience of interviewing Joe Sarah in person, we used audio clips from the interview alongside images that traced the focal point of each photograph as Joe talked.
To add credibility and context to the piece, I also found and analysed open datasets on food trends to visualise. I then worked with a design team and eveloper to manage the creative vision of the story from start to finish.
A one-page website to visualise the trends, data and learnings from the Internet Watch Foundation's 2017 Annual Report.
The Internet Watch Foundation (IWF) exists to minimise the availability of online sexual abuse content, particularly those that portray child sexual abuse.
Each year the organisatin releases an annual report to display stats like the numbers of URLs removed, distribution of content across the world, increase in certain kinds of content and more.
As part of the infogr8 team, we set out to create a central online location to share these trends in a visual format.
As the lead data journalist on the project, my task was to sort through the existing longform content from a PDF and identify the key takeaways for the reader. I then created a series of datasets to visualise these takeaways, along with design and data visualisation reccomendations for the charts throughout.
An interactive journalism piece on the end of net neutrality in America as part of my dissertation project for the Goldsmiths MSc Digital Journalism programme.
In January of 2018, the online debate over the future of net neutrality regulations was well underway. I wanted to capture this important moment in time through an in-depth explanatory piece of journalism that captured the nuance of the debate through
data visualisation and research.
Web page: Uikit, jQuery and ScrollMagic.
Viz: d3.js, Tableau, Illustrator and QGIS for maps.
A network analysis and data viz of tweets following the news of a Westminster terrorist attack.
In 2017, London suffered from a series of terrorist attacks within the span of a few months.
Following news of the Westminster attack, I wanted to see how profiles on social media were reactinng to this news, and potentially using it to drive a certain political agenda.
Once news broke of the attack I started a Python script to pull all tweets containing keywords and hashtags related to the incident.
From this dataset I performed a network analysis to discover the groups and clusters of activity discussing the event on Twitter.
These findings were then visualised in a network graph, and published along with editorial highlights of the various groups.
Data: Python (scraping) + Excel
Viz: Gephi + Adobe Illustrator
Interactive data visualisation and story on the conflicts of interest in Trump’s cabinet.
Using Buzzfeed's amazing Trumpworld dataset, I created an interactive data visualisation and scrollable story to analyse the connections between Trump's cabinet members and other sources.
The interactive network graph at the top of the page allows the user to filter, search and hover to discover the many business and political connections held by Trump's cabinet. Further down the page, the story walks the user through some of the most interesting (and potentially suspicious) connections through a bit of data scrollytelling and changing network graphs.
Story published independently as part of the Goldsmiths MSc Digital Journalism programme.
Tools: Uikit, jQuery and d3.js
A longform data investigation revealing how high polluting power plants in America are disproportianately affecting the Earth's atmosphere.
While industry as a whole carries the burden of reducinng carbon emissions, certain culprits carry more of the blame for dirty energy practices than others.
For this story I dove into the data on America's top polluting energy facilities to see who is releasing the most carbonn dioxide and other GHGs into the atmosphere.
Using original research and some open datasets from the Center for Investigative Journalism, I used visualisation to capture a more accurate picture of who is contributing emissions.
Data reveals how a few of the top companies are responsible for most of the harmful emissions — and they also contribute most of the lobbying money in Congress.
Story published independently as part of the Goldsmiths MSc Digital Journalism programme.
A longform journalism piece using data analysis and visualisation to reveal how
hyperpartisan news publishers behave on Twitter.
Fake news was inarguably one of the defining cultural, social and political moments of 2016.
And for the most part, social media networks acted as the carrier for this new tactic of misinformation and exaggeration.
I set out to discover the Twitter tactics of the most likely culprits of spreading misinformation: hyperpartisan publishers.
Whether leaning politically right or left, the tone and style of these news publishers lend themselves most often to the types of headlines that often are taken out of context and misquoted.
Using the Twitter API, I scraped all tweets over the course of one week from the top five most popular "hyperpartisan" publishers from Conservative and Progressive news networks.
I then analyses this data to findn the trends and patterns that each shared, and how they differed. Data visualisations and editorial text throughout walk the reader through the most interesting takeaways from this analysis and what it might mean for identifying what can be classified as hyperpartisan behaviour on social media.
Story published indpendently as part of the Goldsmiths MSc Digital Journalism programme.
Data: Python + Excel
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