I'll guide you through the key methods for transforming and reshaping your data, including how to aggregate and merge data effectively using Pandas.
This episode is ideal for anyone interested in data, from beginners to experienced analysts, and offers practical advice and tips to help you improve your data analytics skills.
Tune in for yet another episode of PyPod Chronicles!
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Data Transformation in Data Analytics: Techniques to Reshape and Prepare Your Data
Transforming data is a key part of data analytics that turns raw information into useful insights. In this article, we'll explore various ways to transform your data to make it ready for analysis.
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📊 Data Visualization with Matplotlib
Over on Code with Josh ~ HERE
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Here are some resources:
👉 Get my Python & Git Guide ~ Python PDF Guide
📚 Books I’ve Found Helpful:
Python Crash Course - Here
Automate the Boring Stuff - Here
Data Structures and Algorithms in Python - Here
Python Pocket Reference - Here
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