Only the largest corporations, best-endowed universities, and rich governments can afford data collection and processing capacities that are large enough to harness the advantages of AI.
Space| Previous :️
Esc| Speaker notes:
Alt + Click 🖱️
No matter how big is the problem or how small is your team, `Reprex` fill your reports, dashboards, newsletters, books with data and its visualization.
Learn R with us: you can reduce the inequalities by joining the open source movement, learning to run open source software, ask for help, improve the tutorials, the documentation, and eventually learn to make the computer work for you.
Contributor Covenant: Participating in open source is often a highly collaborative experience. We’re encouraged to create in public view, and we’re incentivized to welcome contributions of all kinds from people around the world. This makes the practice of open source as much social as it is technical.
We as members, contributors, and leaders pledge to make participation in our community a harassment-free experience for everyone, regardless of age, body size, visible or invisible disability, ethnicity, sex characteristics, gender identity and expression, level of experience, education, socio-economic status, nationality, personal appearance, race, caste, color, religion, or sexual identity and orientation.
We pledge to act and interact in ways that contribute to an open, welcoming, diverse, inclusive, and healthy community.
🔢 dataset: Synchronize datasets with global knowledge hubs #️⃣ statcodelists: Make your data codes understood globally ♻️ iotables: Create economic or environmental impact assessments in any EU country 🌍 regions: Create from raw survey data more granular statistics in any EU country ✅ retroharmonize: Harmonize questions banks, recycle answers from past surveys ⏭️ all in on one page
LinkedIn: Daniel Antal - Reprex | Home