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title: 'Analyse de données avec R (2/2)' | ||
author: | | ||
| Adrien Cloutier | ||
| | ||
| Université Laval | ||
date: "12 avril 2024" | ||
output: | ||
beamer_presentation: | ||
theme: 'Madrid' | ||
colortheme: 'beaver' | ||
header-includes: | ||
- \usepackage{graphicx} | ||
- | | ||
\titlegraphic{ | ||
\includegraphics[width=6cm,keepaspectratio]{images/UL_FSS_N_d.png}\hspace*{2cm}% | ||
\includegraphics[width=3cm,keepaspectratio]{images/logo_CLESSN.png} | ||
} | ||
--- | ||
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# Introduction | ||
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## Bravo d'être là! | ||
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{ width=100% height=100% } | ||
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## Plan de l'atelier | ||
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9h à 12h | ||
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- Qui suis-je | ||
- Êtes-vous quali ou quanti? | ||
- R et RStudio | ||
- Des cadeaux! | ||
- On ouvre le code | ||
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12h à 15h | ||
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- Atelier libre avec des mentors de la CLESSN | ||
- Exercices avec R et Datacamp | ||
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# Qui suis-je? | ||
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## Qui suis-je? | ||
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- Doctorant en science politique (directeur: Yannick Dufresne) | ||
- Membre de la Chaire de leadership en enseignement des sciences sociales numériques (CLESSN) | ||
- Coordonnateur du Réseau francophone international en conseils scientifiques (RFICS) | ||
- Membre du Centre d'analyses des politiques publiques (CAPP) | ||
- Membre du Groupe de recherche en communication politique (GRCP) | ||
- Membre du Centre d'étude sur la citoyenneté démocratique (CÉCD) | ||
- Cocréateur de l'École interdisciplinaire outils et méthodes (EIOM) | ||
- Formation comme scrum master (méthode Agile: https://www.scrum.org/) | ||
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## Un monde aride? | ||
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{ width=100% height=100% } | ||
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## Pourquoi suivre cet atelier? | ||
- Comprendre le monde autour de nous à travers des données | ||
- Compétences recherchées sur le marché du travail | ||
- Base solide pour la recherche académique | ||
- Comprendre la pertinence du logiciel de traitement de données R | ||
- Obtenir des ressources pour dédramatiser la science des données | ||
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# Êtes-vous quanti ou quali? | ||
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## Une base scientifique commune | ||
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- FLSH, FSÉ, FSS, FTSR, et plus encore. | ||
- La programmation ne sert pas uniquement au quantitatif | ||
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## Une base scientifique commune | ||
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- Mon mémoire de maitrise sur la légalisation du cannabis | ||
- Une étude de la portée de la littérature («scoping review») | ||
- Analyse de réseaux d'acteurs | ||
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{ width=90% height=90% } | ||
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## Une base scientifique commune | ||
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- Mon mémoire de maitrise sur la légalisation du cannabis | ||
- Analyse par dictionnaire (mots positifs et mots négatifs) | ||
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{ width=70% height=70% } | ||
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## Une base scientifique commune | ||
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- Mon mémoire de maitrise sur la légalisation du cannabis | ||
- Topic modeling (analyse textuelle automatisée) | ||
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{ width=70% height=70% } | ||
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## Une base scientifique commune | ||
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- Mon mémoire de maitrise sur la légalisation du cannabis | ||
- Topic modeling (analyse textuelle automatisée) | ||
- Évolution dans le temps des 4 thèmes générés | ||
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{ width=70% height=70% } | ||
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## Une base scientifique commune | ||
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- Ma thèse de doctorat sur la saillance médiatique | ||
- Nuage de mots les plus présents dans les médias | ||
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{ width=70% height=70% } | ||
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## École interdisciplinaire Outils & Méthodes (EIOM) | ||
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- **Interdisciplinaire** | ||
- 5 jours, 3 crédits | ||
- https://eiom.ca/ | ||
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{ width=100% height=100% } | ||
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# R et RStudio | ||
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## Programmes pour l'analyse statistique | ||
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{ width=100% height=100% } | ||
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## R (un langage de programmation) | ||
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{ width=85% height=85% } | ||
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## R Studio/Posit (un environnement de développement) | ||
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{ width=85% height=85% } | ||
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## Chemin d'arborescence (le fameux « path ») | ||
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{ width=100% height=100% } | ||
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## Vos meilleurs amis | ||
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- Stackoverflow | ||
- r-bloggers | ||
- Coursera | ||
- DataCamp | ||
- Datanovia | ||
- Chaines Slack _aide-métho | ||
- ... ChatGPT..! | ||
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# C'est l'heure des cadeaux | ||
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## Datacamp | ||
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{ width=100% height=100% } | ||
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## Recueil de textes sur l'analyse textuelle | ||
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{ width=80% height=80% } | ||
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## En résumé | ||
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- Utilisez les ressources à votre disposition | ||
- EIOM | ||
- Clinique d'aide métho | ||
- ChatGPT | ||
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# On ouvre RStudio |
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