Introduction
Welcome to the Data Wrangling and Transformation section on Datonovia! We’re excited to announce that a comprehensive collection of tutorials is coming soon—designed to empower you with the essential skills for data preparation. Whether you’re looking to clean messy data, reshape it for analysis, or optimize large datasets, our practical guides in both Python and R will cover it all.
What to Expect
Here’s a sneak peek at some of the upcoming topics:
Importing and Exporting Data
Learn how to efficiently import CSV and Excel files and access data from APIs and databases in both Python and R.Data Cleaning and Tidying Techniques
Discover methods for handling missing values, detecting and removing outliers, and tidying up messy data using pandas and tidyr.Data Reshaping and Aggregation
Understand the differences between long and wide data formats, create pivot tables, and summarize data with grouping techniques.Advanced Data Manipulation
Master merging and joining datasets, work with time series data, and perform text manipulation with regular expressions.Automation and Performance Optimization
Automate repetitive data wrangling tasks and learn strategies to handle large datasets efficiently.Real‑World Case Studies and Use Cases
Explore end‑to‑end data preparation projects and enterprise-level data transformation challenges.
Stay Updated!
We’re hard at work creating these engaging, hands‑on tutorials, and we don’t want you to miss out. Subscribe now for updates and be the first to know when new content is published:
Thank you for your interest in mastering data wrangling and transformation with Datonovia. Get ready to unlock the full potential of your data—stay tuned and happy data prepping!
Reuse
Citation
@online{kassambara2024,
author = {Kassambara, Alboukadel},
title = {Data {Wrangling} and {Transformation} {Coming} {Soon:} {Your}
{Essential} {Data} {Preparation} {Resource}},
date = {2024-02-01},
url = {https://www.datanovia.com/learn/data-wrangling-and-transformation/index.html},
langid = {en}
}