Working with Different Files as Data Sources in R | CodeSignal Learn
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Working with Different Files as Data Sources in R
Data
4 courses
69 practices
5 hours
Dive into the dynamic world of data with R! This exciting course equips Data Engineers to master handling text, CSV, JSON, and large datasets, leveraging R's powerful tools for efficient data manipulation, analysis, and visualization in modern applications.
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Verified skills you'll gain
Badge for Programming and Algorithms, Intermediate
INTERMEDIATE
Programming and Algorithms
Badge for Big Data Processing, Developing
DEVELOPING
Big Data Processing
Badge for Data Ingestion and Extraction, Intermediate
INTERMEDIATE
Data Ingestion and Extraction
Tools you'll use
JSON
R
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Course 1
Fundamentals of Text Data Manipulation in R
4 lessons
19 practices
Explore the basics of text data manipulation. Learn techniques to read and write files efficiently, delving into line-by-line and character-by-character parsing to build a strong foundation in handling textual data using R.
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Course 2
Parsing Table Data in R
4 lessons
Course 3
Hierarchical and Structured Data Formats in R
4 lessons
Course 4
Large Data Handling Techniques in R
4 lessons
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18 practices
Master parsing and writing techniques for scientific data using both TXT and CSV formats. This course provides practical skills for working with tabular data, ensuring you can manage various structured data files effectively.
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17 practices
Dive into JSON, XML, and scientific data storage. Discover how to parse, construct, and store structured data formats, leveraging R's capabilities to manage complex datasets essential for data-driven applications.
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15 practices
Learn efficient techniques for managing large datasets. From compressed file management with `zip` files, to batch processing, this course equips you to handle data at scale.
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