R Language Course: RStudio, Reporting
R with RStudio forms a great duo for reporting. Thanks to a special source code, a R Markdown file, we combine programming blocks (the R language) with a text (the Markdown language). It is possible to create a report without even seeing the code in the text. As in a show, the entire technical team, remains behind the scenes. Only the results - images, tables, charts and maps - occupy the scene with the text.
links to demos:
Like Word or a PowerPoint presentation, the document includes titles and divisions, bold and italic passages, web links, and more. Unlike Word or a PowerPoint presentation, tables and figures are automated because they are part of the calculations and modeling hidden in the document.
In the process, the data is imported: spreadsheets, CSV, SQL, web, Spark, etc. Just run the analyzes: clean, filter, sort, group, aggregate, select, add, etc. The R language is designed for descriptive statistics analysis and * machine learning * algorithms. The results can also come from other languages including Python or SQL. The big work can be done downstream and the finishing is done in RStudio. Once everything is modeled, transformed or integrated, all that remains is to generate tables and figures to finalize the report. With a stand-alone R Markdown file, automation makes it easy to update or adapt for a new month, for example.
Introduction to the R language
Introduction
What is R?
Discover the analytical aspect
The business intelligence side of R / RStudio
The areas of use of R
Discover RStudio
Getting started with the RStudio environment
Install RStudio
Configure RStudio
Use the console
Install a package
Use of aids
Discover the Markdown
The basics of the R language
The variables
The functions
Calculations
Evaluate flow conditions and controls
curls
Create custom features
Calculate the execution time
Data structure: matrix
Data structure: ts
Data structure: Date and time
Data structure: factor
Work environments
Manipulate data structures
The vectors
The lists
Matrices
DataFrames
Draw a parallel between R and a spreadsheet
Adapt in R / RStudio spreadsheet operations.
Adapt the spreadsheet functions to R / RStudio.
Import and export data (spreadsheet versus R / RStudio)
Exploit the best of both software.
Handling data with R
Importing data
Exporting data
Selection and grouping of data
Case Study: Consolidate the Basics of R Language and RStudio Software
Using tidyverse for more efficiency
Tidyverse modules: dplyr, ggplot2, tibble, readr, tidyr, purrr
Data preparation
Import (and export) datasets.
Understanding the data (Explore and visualize)
Process missing values
Process outliers.
Model: select, filter, sort, modify, add, delete.
Manipulate categorical data.
Manipulate time series.
Produce PDF, HTML, etc. reports
View data with R
Realization of graphs with R software
Customize graphs with R software
Draw maps with R software
Autre(s) cours dans cette catégorie
→ R Language Course: RStudio, Reporting
→ Python Training for Data Science | scientific python
→ Python Training – Data Science (Numpy Pandas Matplotlib)
Préalables :
Knowledge of the Windows environmentObjectifs :
With one case, the training shows how to edit a report with RStudio. The training covers another format: presentation, website, interactive dashboard and various renderings (HTML, PDF, Word and more). In addition, the training shows the useful foundations of the R language. The course adheres to simple quantitative methods for processing data in a spreadsheet format and does not address the science of statistics. Former:Montréal :
Québec :
Gatineau / Ottawa :
Moncton :
Classe virtuelle (en ligne) :
1019 $
per participant
Duration :3 day(s), is 21 hours.
Hours: 9 am-5pm, 2 coffee breaks.
Locations: Montreal, Gatineau / Ottawa, Quebec City.
Regular price: 1199 $
*The preferential rate applies if you register at least two participants in the same session.
“ I want to thank you both for providing my resources some excellent training(Cobol) over the past 3 days. Mamadou, thank you for being so accommodating on such short notice and for sending your facilitator to Gatineau for this customised and personalised training course. We’ll look forward to continuing our partnership for future training needs. “
“J’ai grandement apprécié les méthodes d’enseignement du prof. Le fait que nous soyons un petit groupe a grandement facilité les apprentissages. Il s’adapte à son audience et les exercices sont formateurs. Je recommande fortement. “
“ Ce fut un plaisir de faire affaires avec Doussou Formation. Ce qui fait LA différence est le service personnalisé totalement à l'écoute des participants ainsi que l'adaptation aux besoins de formation. Flexibilité / Adaptabilité / Professionnalisme / Courtoisie. Merci!“