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 i
Effective Data Wrangling and Exploration with R
β Scribed by FRU Kingsly
- Year
- 2021
- Tongue
- English
- Category
- Library
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
<p><p>This guide for practicing statisticians, data scientists, and R users and programmers will teach the essentials of preprocessing: data leveraging the R programming language to easily and quickly turn noisy data into usable pieces of information. Data wrangling, which is also commonly referred
The past decades have transformed the world of statistical data analysis, with new methods, new types of data, and new computational tools. Modern Statistics with R introduces you to key parts of this modern statistical toolkit. It teaches you: β’ Data wrangling - importing, formatting, reshaping, me
<p><span>The past decades have transformed the world of statistical data analysis, with new methods, new types of data, and new computational tools. </span><span>Modern Statistics with R</span><span> introduces you to key parts of this modern statistical toolkit. It teaches you:</span></p><ul><li><s
As an aspiring data scientist, you appreciate why organizations rely on data for important decisionsβwhether it's for companies designing websites, cities deciding how to improve services, or scientists discovering how to stop the spread of disease. And you want the skills required to distill a mess
As an aspiring data scientist, you appreciate why organizations rely on data for important decisionsβwhether it's for companies designing websites, cities deciding how to improve services, or scientists discovering how to stop the spread of disease. And you want the skills required to distill a mess