Data Visualization for Python 🧑🏻‍💻#dataanalysis #pythontutorial #pythonforbeginners #pythoncontent

Let's build a Python dashboard together. Dashboards are a great way to enhance your data analysis skills, so let's walk through some of the most common and useful Python packages.

scikit-learn and pandas

First up is scikit-learn. I'm leveraging a popular dataset from scikit-learn to power this dashboard. Scikit-learn has a bunch of these different datasets. This package is also really great for machine learning and has some really good pre-built algorithms. If you want to start practicing your machine learning, scikit-learn is a great package to start with. Next, I'm using the pandas package to manipulate the data. Pandas is one of the most common packages for working with data. df.describe gives me this table and a breakdown of the dataset.

Data visualization packages

For the data visualizations, I'm using both matplotlib and seaborn. matplotlib is a great package for more standard plots like scatterplot and boxplots like I'm using here, and seaborn is the next step up in terms of complexity. Lastly, I'm using Shiny for Python as the overall framework for this dashboard. Shiny makes it so easy to create these stunning beautiful dashboards. And here is our finished dashboard. You can check out more examples using shiny in the shiny gallery.

Shiny makes it so easy to create these stunning beautiful dashboards.

Make sure to follow along for more data science content. Bye!