This repository contains a collection of practical exercises and case studies using the Pandas library. It includes a wide range of hands-on tasks, such as: ...

Why I have created this course? In the beginning, it was created for teaching "Data Visualization Course" at Department of Computer Science of University of Warmia and Mauzury but with time more ...

Pandas is a library written for the Python programming language for data manipulation and analysis. In particular, it offers data structures and operations for manipulating numerical tables and time ...

Data analysis is an integral part of modern data-driven decision-making, encompassing a broad array of techniques and tools to process, visualize, and interpret data. Python, a versatile programming ...

Though more complicated as it requires programming knowledge, Python allows you to perform any manipulation, transformation, and visualization of your data ... function of pandas to pre-process ...

Matplotlib integrates seamlessly with other Python data science libraries like NumPy, scikit-learn, and pandas. Plotly is an advanced visualization library that allows users to create a wide range of ...

Integration with Pandas: Seaborn works seamlessly with Pandas data ... It can be said that it is one of the most popular libraries of Python for data visualization because of its convenience. Another ...

Some of these popular modules that we are going to explore are:- Pandas Profiling is a python library that ... visualizing the relationship of the data, it can find the most impactful features and ...

and work effectively with the Python libraries often used for data science, such as pandas, NumPy, matplotlib, seaborn, and scikit-learn. Using real-world datasets, you will learn how to use the ...