La visualisation reste une étape importante et primordial dans l'exploration et l'analyse des ensembles de données du monde réel. En tant que telle, la visualisation est une méthode est indispensable dans la boîte à outils de tout Scientifique de données. C'est aussi un outil puissant pour identifier les problèmes dans les analyses et pour illustrer les résultats.
Choisir la Meilleure Méthode pour Illustrer les Données
Learn, practice, and apply job-ready skills with expert guidance
Beginner level
Recommended experience
1h30m
Learn at your own pace
Hands-on learning
What you'll learn
serez en mesure de pouvoir implémenter et interpréter les matrices de corrélations .
serez en mesure de pouvoir visualiser les données catégoriques à travers les graphiques à barres et les données numériques a travers le distplot.
serez en mesure de pouvoir implementer des cartes interactives a l'aide de la librairie folium.
Skills you'll practice
Details to know
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Add to your LinkedIn profile
Taught in French
No downloads or installation required
Only available on desktop
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About this Guided Project
Learn step-by-step
In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:
Prétraitement Des Données
Les Matrices de Corrélation
Visualisation Des Valeurs Catégoriques
Visualisation Des Valeurs Numériques
Les Cartes Interactives
Recommended experience
Bases en Python comme manipulation des librairies Numpy et Pandas,utiliser les structures conditionnelles,manipuler des tableaux,des dictionnaires..
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Instructor
Offered by
How you'll learn
Skill-based, hands-on learning
Practice new skills by completing job-related tasks.
Expert guidance
Follow along with pre-recorded videos from experts using a unique side-by-side interface.
No downloads or installation required
Access the tools and resources you need in a pre-configured cloud workspace.
Available only on desktop
This Guided Project is designed for laptops or desktop computers with a reliable Internet connection, not mobile devices.
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Frequently asked questions
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