Research Associate, Network Analysis, Social Media and Programming
In a separate blog post, we talked about the need for building highly interactive data visualisations which you can show off to others. That’s great if you would prefer to create visualisations without the stress of having to write any code. That being said, you may find yourself in a situation where you need to … Read more
Being able to visualise your data is an essential part of helping your people understand key concepts derived from your data. In a previous blog post, we covered some of the most widely used and popular Python packages for doing just this. One thing that these packages lack is the ability to produce dynamic data … Read more
Data visualisation is an incredibly important component of data science. By using visual representations of data, we can help provide meaningful insights which are easy to understand. Conveniently, for those who use Python as their main programming language of choice, there are many potential options to explore however, not all of them may suit our … Read more
If you’ve ever worked with Pandas in Python before, you’ll know that there are a bunch of different ways in which you can import tabulated data. Pandas is perhaps one of the most widely used Python packages for loading, manipulating and exporting data. We’ve even explored this in a separate blog post. While you may … Read more
Finding the ideal dataset is not always an easy job. One option may include putting together your own dataset to suit the needs of others and yourself using techniques such as web and API scraping. This might be necessary depending on your circumstances however, it does come at a cost. Collecting data of your own … Read more