Engineering and Technology
Reshape DataFrames from a wide to long format, stack and unstack rows and columns, and wrangle multi-index DataFrames.
Pandas is a valuable tool for transforming data into a format that is suitable for analysis, especially when the data is initially in a format that is easy for humans to read but not ideal for analysis. In this course, you will enhance your skills as a data scientist and analyst by learning how to manipulate string columns and nested data within a DataFrame using pandas. Through hands-on exercises with real-world datasets, such as FIFA player ratings, book reviews, and churn analysis data, you will gain experience in reshaping DataFrames from wide to long format, manipulating rows and columns using stacking and unstacking techniques, and obtaining descriptive statistics from multi-index DataFrames.
by DataCamp
Reshape DataFrames from a wide to long format, stack and unstack rows and columns, and wrangle multi...
by DataCamp
Explore the Stanford Open Policing Project dataset and analyze the impact of gender on police behavi...
by DataCamp
Transform almost any dataset into a tidy format to make analysis easier.