The US job market is filled with exciting opportunities for aspiring Data Analysts. However, landing your first job can be challenging due to the diverse range of requirements employers are looking for. In this article, we analyze data from 15,963 Data Analyst job listings. We build a Jupyter Notebook with data analysis and visualization, and serve it as an interactive web app. For example, we search for the most needed skills and show their dependency on the average yearly salary. Let’s check what the most needed skills for Data Analyst are!

Matplotlib is a powerful visualization package for Python. It is very customizable, thanks to this it is widly used in commercial and in academic use cases. In this article, I will show you 9 different ways how to set colors in Matplotlib plots. All parts of the plot can be customized with a new color. You can set colors for axes, labels, background, title. However, not every data scientist is a graphic designer that can compose nice looking colors in a single plot, so I can show you how to use predefined Matplotlib styles to get attractive plots.

The Matplotlib is a popular plotting library for Python. It can be used in Python scripts and Jupyter Notebooks. The plot can be displayed in a separate window or a notebook. What if you would like to save the plot to a file? In this article, I will show you how to save the Matplotlib plot into a file. It can be done by using 14 different formats.

You’ve just created an amazing plot in Python with Matplotlib but would like to change figure size. I will show you three different approaches to changing figure size in Matplotlib. All code samples from article can be used in Python script or Jupyter Notebook (Jupyter Lab).