|datacamp data manipulation with pandas github||0.93||1||7535||26|
Instantly share code, notes, and snippets. pandas is the world's most popular Python library, used for everything from data manipulation to data analysis. Learn how to manipulate DataFrames, as you extract, filter, and transform real-world datasets for analysis.What is the difference between head() and info() in datacamp?
Base on DataCamp. .head () returns the first few rows (the “head” of the DataFrame). .info () shows information on each of the columns, such as the data type and number of missing values.Who is the author of the datacamp notebook?
Notebook Author: Trenton McKinney Course: DataCamp: Manipulating DataFrames with pandas This notebookwas created as a reproducible reference. The material is from the course I completed the exercises If you find the content beneficial, consider a DataCamp Subscription. In :What can you do with a Dataframe?
Learn how to manipulate DataFrames, as you extract, filter, and transform real-world datasets for analysis. Using real-world data, including Walmart sales figures and global temperature time series, you’ll learn how to import, clean, calculate statistics, and create visualizations—using pandas!