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Tutoriels de visualisation de données
Apprenez à transformer vos données et informations en infographies et visualisations pertinentes grâce à nos tutoriels. Découvrez de nouvelles façons de raconter des histoires, de créer des tableaux de bord, etc.
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Introduction to Geospatial Data in Python
In this tutorial, you will use geospatial data to plot the path of Hurricane Florence from August 30th to September 18th.
Duong Vu
6 avril 2023
Introduction to Cyclical Learning Rates
Learn what cyclical learning rate policy is and how it can improve the training of a neural network.
Sayak Paul
15 octobre 2018
Data Visualization with Tableau
In this tutorial, you will learn how to analyze and display data using Tableau and make better, more data-driven decisions.
Parul Pandey
24 septembre 2018
Introduction to t-SNE
Learn to visualize high-dimensional data in a low-dimensional space using a nonlinear dimensionality reduction technique.
Abid Ali Awan
9 décembre 2024
Visualize Missing Data with VIM Package
Learn to use data visualization tools provided by the VIM package to gain quick insights into the missing data patterns.
Michał Oleszak
5 septembre 2018
Data Visualization with Highcharter in R
Learn how to use Highcharter to create a visualization that creates a buzz.
Nishant Singh
20 août 2018
Bivariate Distribution Heatmaps in R
Learn how to visually show the relationship between two features, how they interact with each other, and where data points are concentrated.
Carlos Zelada
31 juillet 2018
Getting Started with the Tidyverse: Tutorial
Start analyzing titanic data with R and the tidyverse: learn how to filter, arrange, summarise, mutate and visualize your data with dplyr and ggplot2!
Hugo Bowne-Anderson
10 avril 2018
Time Series Analysis Tutorial with Python
Get Google Trends data of keywords such as 'diet' and 'gym' and see how they vary over time while learning about trends and seasonality in time series data.
Hugo Bowne-Anderson
17 janvier 2018
R Formula Tutorial
Discover the R formula and how you can use it in modeling- and graphical functions of well-known packages such as stats, and ggplot2.
Karlijn Willems
23 novembre 2017
Pipes in R Tutorial For Beginners
Learn more about the famous pipe operator %>% and other pipes in R, why and how you should use them and what alternatives you can consider!
Karlijn Willems
21 décembre 2022
Graph Optimization with NetworkX in Python
This NetworkX tutorial will show you how to do graph optimization in Python by solving the Chinese Postman Problem in Python.
Andrew Brooks
12 septembre 2017