24,95 €
inkl. MwSt.
Sofort per Download lieferbar
  • Format: ePub

In this information era, where large volumes of data are being generated every day, companies want to get a better grip on it to perform more efficiently than before. This is where skillful data analysts and data scientists come into play, wrangling and exploring data to generate valuable business insights. In order to do that, you’ll need plenty of tools that enable you to extract the most useful knowledge from data. Data Wrangling with R will help you to gain a deep understanding of ways to wrangle and prepare datasets for exploration, analysis, and modeling. This data book enables you to…mehr

Produktbeschreibung
In this information era, where large volumes of data are being generated every day, companies want to get a better grip on it to perform more efficiently than before. This is where skillful data analysts and data scientists come into play, wrangling and exploring data to generate valuable business insights. In order to do that, you’ll need plenty of tools that enable you to extract the most useful knowledge from data.
Data Wrangling with R will help you to gain a deep understanding of ways to wrangle and prepare datasets for exploration, analysis, and modeling. This data book enables you to get your data ready for more optimized analyses, develop your first data model, and perform effective data visualization.
The book begins by teaching you how to load and explore datasets. Then, you’ll get to grips with the modern concepts and tools of data wrangling. As data wrangling and visualization are intrinsically connected, you’ll go over best practices to plot data and extract insights from it. The chapters are designed in a way to help you learn all about modeling, as you will go through the construction of a data science project from end to end, and become familiar with the built-in RStudio, including an application built with Shiny dashboards.
By the end of this book, you’ll have learned how to create your first data model and build an application with Shiny in R.

Autorenporträt
Gustavo R Santos has worked in the Technology Industry for 13 years, improving processes, and analyzing datasets and creating dashboards. Since 2020, he has been working as a Data Scientist in the retail industry, wrangling, analyzing, visualizing and modeling data with the most modern tools like R, Python and Databricks. Gustavo also gives lectures from time to time at an online school about Data Science concepts. He has a background in Marketing, is certified as Data Scientist by the Data Science Academy Brazil and pursues his specialist MBA in Data Science at the University of São Paulo