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Mito: One of the Best Python Libraries For Data Visualization
Let’s explore one of the coolest Python libraries for data analysis
A few months ago, I wrote a blog about Mito, a handy Python library with a graphic user interface (GUI), turning data analysis just as easy as working with Microsoft Excel. For those who are learning Python or work with it daily, it’s a helpful tool. However, in my first blog, I mainly focused on how to accomplish data analysis, data cleaning, data modification tasks, etc. Now, it’s time to go over one of the tasks where Mito shines: data visualization.
What is Mito?
Mito is a Python library with GUI that allows us to do data cleaning, data manipulation, analysis, and visualization with a few clicks.
You might ask yourself: Python with a user interface? Why should we even consider it? Well, it’s an excellent tool for people learning Python. It makes it easier to accomplish tasks requiring multiple lines of code, and even though you are using a GUI, Mito shows us the code generated to get the job done, which can improve learning speed. It’s also a great tool for professionals because you can do tasks that would take minutes in seconds.
