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Once you have the dataset, read it with Pandas and make all the necessary plots to know more about the movie/show you love.
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How to Make Beautiful Visualizations with Seabornĭata visualization should be fun, so for this project, you have to pick any movie/TV show you like, then go to Kaggle and look for a dataset that contains the scripts of this movie/show.How to Easily Make Beautiful Wordclouds in Python.Python Plotting Tutorial with Matplotlib & Pandas.Week 13: Data Visualization with Matplotlib and Wordclouds with Stylecloud Probably you could live making visualizations with Pandas only, but if you like making gorgeous visualization as I do, consider learning Matplotlib and/or Seaborn.Īlso, in this section, we’ll learn how to make a wordcloud and solve cool projects to practice data visualization techniques while having fun.
Here’s when more complete libraries such as Matplotlib and Seaborn come in handy.īoth libraries allow us to go beyond the basic plots Pandas offer. In this project, we’ll make a pivot table and then create plots that help us make a better analysis.Īlthough you can create data visualization with Pandas, there aren’t enough options to customize our plots.
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This editor allows us not only to write code but also to write equations, plot visualizations, add text, and more things that make look our Python script like a notebook. Keep in mind that the text editor you should use as an aspiring data scientist is Jupyter Notebook. They are key to doing more advanced stuff in Python. Other important things to learn are conditional statements (if/else statement) and loops (for, while, etc). This means learning the most common data types, how to use variables and how to properly use lists and dictionaries. The first thing to do to master Python for data science is to understand the core concepts. Be sure to subscribe here to get my Python for Data Science Cheat Sheet I use in all my tutorials (Free PDF) Python Core Concepts for Data Science