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Data Analysis: This is using the tools like statistics and data visualization to better understand the problem by understanding the data.+ Data Munging: This is the process of transforming raw data into a form so that it is appropriate for your job, like data analysis or machine learning.
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−Pandas is a Python library for data analysis and manipulation. It adds to the SciPy framework, which provides powerful libraries for handing gridded data (like NumPy) and plotting (like matplotlib).
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== Pandas Tutorials ==
== Pandas Tutorials ==
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+<font><i>Pandas is a Python library for data analysis and manipulation. It adds to the SciPy framework, which provides powerful libraries for handing gridded data (like NumPy) and plotting (like matplotlib).
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+<u><b>Below are some websites with more information and beginner tutorials</u>:</b></i></font>
+* [https://www.learndatasci.com/tutorials/python-pandas-tutorial-complete-introduction-for-beginners/ Python Pandas Tutorial: A Complete Introduction for Beginners <b>(learndatasci.com)</b>]
+* [https://towardsdatascience.com/how-to-master-pandas-for-data-science-b8ab0a9b1042 How to Master Pandas for Data Science <b>(towardsdatascience.com)</b>]
+* [https://www.kaggle.com/learn/pandas Solve Short Hands-on Data Manipulation Challenges <b>(kaggle.com)</b>]
+* [https://machinelearningmastery.com/prepare-data-for-machine-learning-in-python-with-pandas/ Prepare Data for Machine Learning in Python with Pandas <b>(machinelearningmastery.com)</b>]
+* [https://towardsdatascience.com/data-manipulation-for-machine-learning-with-pandas-ab23e79ba5de Data Manipulation for Machine Learning with Pandas <b>(towardsdatascience.com)</b>]
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