The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
Back to feedPost
I analyzed energy and environmental data across 14 countries over a 20-year period using SQL. I explored trends in fossil fuel consumption, renewable energy usage, and CO₂ emissions, using SQL queries to compare countries and identify significant changes over time. I also created visual summaries to communicate the findings and investigated the relationship between the decline in fossil fuel use, growth in renewable energy, and changes in CO₂ emissions.
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
Trending
retrofuturism
Share your favorite designs from the past exploring the distant future. Or your own take on the aesthetic 🚀
halftone
Dots. Texture. Grain. Let's see your designs using the halftone technique.
Midjourney
Creatives are showing off what they're making with Midjourney.
colorgrade
Video editors sound off: How do you enhance the mood of your video in color grading?
Related posts
Solar apps usually pick one lane — either raw energy data or "look how much you're saving."
Designed this one to give equal weight to both: live kW flow with 3D home visuals, and a dedicated ROI screen tracking the actual payback story. ⚡
Refinery.AI is an AI-powered data refinement platform designed to turn raw, fragmented data into structured, AI-ready datasets.
I worked on the UX/UI and product experience, designing a guided workflow where users can define their objective, choose a refinement template, upload their data, configure a visual pipeline, preview the transformation, and review meaningful insights once the process is complete.
The platform combines complex data workflows with a more approachable experience through predefined templates, visual pipelines, and an AI assistant that helps users understand what they can do with their data.
The goal was to make data refinement feel less technical, more intuitive, and easier to connect to real business outcomes.
Turning raw data into AI-ready datasets with such a seamless guided workflow is incredible, Daniela! The UX and AI agent design execution here looks exceptionally polished 🚀
Python-based exploratory data analysis of breast cancer patient data, using Pandas, Matplotlib, and statistical methods to identify patterns in age, BMI, cancer stage, incidence, and mortality.
