What is a dataframe and how it differs from dataset ?

Question

Accepted Answer

A dataframe is a two-dimensional tabular data structure in which data is organized in rows and columns. It differs from a dataset in terms of structure and functionality.

A dataframe is a data structure in which data is organized in a tabular format with rows and columns.
It is commonly used in data analysis and manipulation tasks.
Dataframes can handle both structured and semi-structured data.
They provide a convenient way to store and manipulate large datasets.
Dataframes offer various operations like filtering, sorting, joining, and aggregating data.
In contrast, a dataset is a collection of data that can be in various formats like CSV, JSON, or Parquet.
Datasets are typically used for distributed processing and can be processed in parallel.
Unlike dataframes, datasets provide compile-time type safety and support functional programming constructs.
Dataframes are commonly used in languages like Python (Pandas), R, and Scala (Spark).
Example: In Python, the Pandas library provides a DataFrame class for data manipulation and analysis.

Accepted Answer

Dataset means set of data but dataframe means data frame

Accepted Answer

A Dataset is also a SparkSQL structure and represents an extension of the DataFrame API. The Dataset API combines the performance optimization of DataFrames and the convenience of RDDs

What is a dataframe and how it differs from dataset ?

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