We came a long way with data visualisation over the last few months. But so far, all plots we created were static. Now it is time to change this and look at interactive plotting libraries. This post is part of my journey to learn Python. You find the code for this post in my PythonFriday …
Creating graphs with numerical and categorical data is something we got comfortable with over the last months. But how can we visualize a text to spot the common words and get a hint of the topic? Let us figure out how we can tackle such a challenge. This post is part of my journey to …
Last week we formulated our thesis and went on to capture the data to (dis-) prove our assumption. Today we clean the data file, turn it into a graph and check the merit of our thesis. This post is part of my journey to learn Python. You find the code for this post in my …
It is time for a hands-on walkthrough to collect data and turn it into useful plots. For this exercise we are going to collect metadata from YouTube and run it through Seaborn to figure out if my hunch is correct or not. This post is part of my journey to learn Python. You find the …
Seaborn is a powerful library that we can use to explore data. Once we have figured out what we want to show, it is time to adapt the plots to our requirements. In this post we explore the options we have for styling our plots. This post is part of my journey to learn Python. …
Making sense of the data is an important first step before we can visualise the data. In this post we continue with Seaborn and explore the various ways it can help us to better understand what is going on. This post is part of my journey to learn Python. You can find the other parts …
Seaborn is a statistical data visualization library based on Matplotlib. We will use Seaborn to find interesting relationships in our data and turn them into informative graphs. As you will see shortly, this involves less code than if we were to use Matplotlib directly. This post is part of my journey to learn Python. You …
The data we get is not always in a useful format. With a bit of Pandas magic we can clean-up a lot and automate the process along the way. This post is part of my journey to learn Python. You can find the other parts of this series here. You find the code for this …
The methods to plot a data frame in Pandas (here & here) create us useful graphics. But as with Matplotlib, sometimes they do not fully meet our requirements. Let us find out how we can fix that in Pandas. This post is part of my journey to learn Python. You can find the other parts …
Plotting with Pandas works without much effort. Today we look at the two dedicated methods hist() and boxplot() directly on the data frame. This post is part of my journey to learn Python. You can find the other parts of this series here. You find the code for this post in my PythonFriday repository on …